From f05c1037a971e7c39e002d51a55446cfd327ff8d Mon Sep 17 00:00:00 2001 From: aayush0325 Date: Sun, 23 Mar 2025 01:33:59 +0530 Subject: [PATCH 1/4] feat: add `stats/strided/dnanmin` Ref: https://github.com/stdlib-js/stdlib/issues/4797 --- 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: passed - task: lint_c_examples status: passed - task: lint_c_benchmarks status: passed - task: lint_c_tests_fixtures status: na - 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mode 100644 lib/node_modules/@stdlib/stats/strided/dnanmin/lib/ndarray.native.js create mode 100644 lib/node_modules/@stdlib/stats/strided/dnanmin/manifest.json create mode 100644 lib/node_modules/@stdlib/stats/strided/dnanmin/package.json create mode 100644 lib/node_modules/@stdlib/stats/strided/dnanmin/src/Makefile create mode 100644 lib/node_modules/@stdlib/stats/strided/dnanmin/src/addon.c create mode 100644 lib/node_modules/@stdlib/stats/strided/dnanmin/src/main.c create mode 100644 lib/node_modules/@stdlib/stats/strided/dnanmin/test/test.dnanmin.js create mode 100644 lib/node_modules/@stdlib/stats/strided/dnanmin/test/test.dnanmin.native.js create mode 100644 lib/node_modules/@stdlib/stats/strided/dnanmin/test/test.js create mode 100644 lib/node_modules/@stdlib/stats/strided/dnanmin/test/test.ndarray.js create mode 100644 lib/node_modules/@stdlib/stats/strided/dnanmin/test/test.ndarray.native.js diff --git a/lib/node_modules/@stdlib/stats/strided/dnanmin/README.md b/lib/node_modules/@stdlib/stats/strided/dnanmin/README.md new file mode 100644 index 000000000000..b5c3aa7a5ea0 --- /dev/null +++ b/lib/node_modules/@stdlib/stats/strided/dnanmin/README.md @@ -0,0 +1,315 @@ + + +# dnanmin + +> Calculate the minimum value of a double-precision floating-point strided array, ignoring `NaN` values. + +
+ +
+ + + +
+ +## Usage + +```javascript +var dnanmin = require( '@stdlib/stats/strided/dnanmin' ); +``` + +#### dnanmin( N, x, strideX ) + +Computes the minimum value of a double-precision floating-point strided array `x`, ignoring `NaN` values. + +```javascript +var Float64Array = require( '@stdlib/array/float64' ); + +var x = new Float64Array( [ 1.0, -2.0, NaN, 2.0 ] ); + +var v = dnanmin( x.length, x, 1 ); +// returns -2.0 +``` + +The function has the following parameters: + +- **N**: number of indexed elements. +- **x**: input [`Float64Array`][@stdlib/array/float64]. +- **strideX**: index increment for `x`. + +The `N` and stride parameters determine which elements in strided array are accessed at runtime. For example, to compute the minimum value of every other element in `x`, + +```javascript +var Float64Array = require( '@stdlib/array/float64' ); + +var x = new Float64Array( [ 1.0, 2.0, -7.0, -2.0, 4.0, 3.0, NaN, NaN ] ); + +var v = dnanmin( 4, x, 2 ); +// returns -7.0 +``` + +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( [ 2.0, 1.0, -2.0, -2.0, 3.0, 4.0, NaN, NaN ] ); +var x1 = new Float64Array( x0.buffer, x0.BYTES_PER_ELEMENT*1 ); // start at 2nd element + +var v = dnanmin( 4, x1, 2 ); +// returns -2.0 +``` + +#### dnanmin.ndarray( N, x, strideX, offsetX ) + +Computes the minimum value of a double-precision floating-point strided array, ignoring `NaN` values and using alternative indexing semantics. + +```javascript +var Float64Array = require( '@stdlib/array/float64' ); + +var x = new Float64Array( [ 1.0, -2.0, NaN, 2.0 ] ); + +var v = dnanmin.ndarray( x.length, x, 1, 0 ); +// returns -2.0 +``` + +The function has the following additional parameters: + +- **offsetX**: 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 minimum value for every other element in `x` starting from the second element + +```javascript +var Float64Array = require( '@stdlib/array/float64' ); + +var x = new Float64Array( [ 2.0, 1.0, -2.0, -2.0, 3.0, 4.0, NaN, NaN ] ); + +var v = dnanmin.ndarray( 4, x, 2, 1 ); +// returns -2.0 +``` + +
+ + + +
+ +## Notes + +- If `N <= 0`, both functions return `NaN`. + +
+ + + +
+ +## Examples + + + +```javascript +var randu = require( '@stdlib/random/base/randu' ); +var round = require( '@stdlib/math/base/special/round' ); +var Float64Array = require( '@stdlib/array/float64' ); +var dnanmin = require( '@stdlib/stats/strided/dnanmin' ); + +var x; +var i; + +x = new Float64Array( 10 ); +for ( i = 0; i < x.length; i++ ) { + if ( randu() < 0.2 ) { + x[ i ] = NaN; + } else { + x[ i ] = round( (randu()*100.0) - 50.0 ); + } +} +console.log( x ); + +var v = dnanmin( x.length, x, 1 ); +console.log( v ); +``` + +
+ + + + + +* * * + +
+ +## C APIs + + + +
+ +
+ + + + + +
+ +### Usage + +```c +#include "stdlib/stats/strided/dnanmin.h" +``` + +#### stdlib_strided_dnanmin( N, \*X, strideX ) + +Calculate the minimum value of a double-precision floating-point strided array, ignoring `NaN` values. + +```c +const double x[] = { 1.0, -2.0, 0.0 / 0.0, -4.0 }; + +double v = stdlib_strided_dnanmin( 4, 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_dnanmin( const CBLAS_INT N, const double *X, const CBLAS_INT strideX ); +``` + +#### stdlib_strided_dnanmin_ndarray( N, \*X, strideX, offsetX ) + +Computes the minimum value of a double-precision floating-point strided array, ignoring `NaN` values and using alternative indexing semantics. + +```c +const double x[] = { 1.0, -2.0, 0.0 / 0.0, -4.0 }; + +double v = stdlib_strided_dnanmin_ndarray( 4, 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_dnanmin_ndarray( const CBLAS_INT N, const double *X, const CBLAS_INT strideX, const CBLAS_INT offsetX ); +``` + +
+ + + + + +
+ +
+ + + + + +
+ +### Examples + +```c +#include "stdlib/stats/strided/dnanmin.h" +#include +#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, 0.0/0.0, 0.0/0.0 }; + + // Specify the number of elements: + const int N = 5; + + // Specify the stride length: + const int strideX = 2; + + // Compute the minimum value: + double v = stdlib_strided_dnanmin( N, x, strideX ); + + // Print the result: + printf( "min: %lf\n", v ); +} +``` + +
+ + + +
+ + + + + +
+ +* * * + +## See Also + +- [`@stdlib/stats/strided/dmin`][@stdlib/stats/strided/dmin]: calculate the minimum value of a double-precision floating-point strided array. +- [`@stdlib/stats/strided/dnanmax`][@stdlib/stats/strided/dnanmax]: calculate the maximum value of a double-precision floating-point strided array, ignoring NaN values. +- [`@stdlib/stats/base/nanmin`][@stdlib/stats/base/nanmin]: calculate the minimum value of a strided array, ignoring NaN values. +- [`@stdlib/stats/base/snanmin`][@stdlib/stats/base/snanmin]: calculate the minimum value of a single-precision floating-point strided array, ignoring NaN values. + +
+ + + + + +
+ +[@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 + + + +[@stdlib/stats/strided/dmin]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/dmin + +[@stdlib/stats/strided/dnanmax]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/dnanmax + +[@stdlib/stats/base/nanmin]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/nanmin + +[@stdlib/stats/base/snanmin]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/snanmin + + + +
+ + diff --git a/lib/node_modules/@stdlib/stats/strided/dnanmin/benchmark/benchmark.js b/lib/node_modules/@stdlib/stats/strided/dnanmin/benchmark/benchmark.js new file mode 100644 index 000000000000..7078bb225f25 --- /dev/null +++ b/lib/node_modules/@stdlib/stats/strided/dnanmin/benchmark/benchmark.js @@ -0,0 +1,104 @@ +/** +* @license Apache-2.0 +* +* Copyright (c) 2020 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 pow = require( '@stdlib/math/base/special/pow' ); +var uniform = require( '@stdlib/random/base/uniform' ); +var bernoulli = require( '@stdlib/random/base/bernoulli' ); +var filledarrayBy = require( '@stdlib/array/filled-by' ); +var pkg = require( './../package.json' ).name; +var dnanmin = require( './../lib/dnanmin.js' ); + + +// FUNCTIONS // + +/** +* Returns a random number. +* +* @private +* @returns {number} random number or `NaN` +*/ +function rand() { + if ( bernoulli( 0.8 ) < 1 ) { + return NaN; + } + return uniform( -10.0, 10.0 ); +} + +/** +* Creates a benchmark function. +* +* @private +* @param {PositiveInteger} len - array length +* @returns {Function} benchmark function +*/ +function createBenchmark( len ) { + var x = filledarrayBy( len, 'float64', rand ); + return benchmark; + + function benchmark( b ) { + var v; + var i; + + b.tic(); + for ( i = 0; i < b.iterations; i++ ) { + v = dnanmin( 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( pkg+':len='+len, f ); + } +} + +main(); diff --git a/lib/node_modules/@stdlib/stats/strided/dnanmin/benchmark/benchmark.native.js b/lib/node_modules/@stdlib/stats/strided/dnanmin/benchmark/benchmark.native.js new file mode 100644 index 000000000000..cf9fb1900c34 --- /dev/null +++ b/lib/node_modules/@stdlib/stats/strided/dnanmin/benchmark/benchmark.native.js @@ -0,0 +1,113 @@ +/** +* @license Apache-2.0 +* +* Copyright (c) 2020 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 pow = require( '@stdlib/math/base/special/pow' ); +var uniform = require( '@stdlib/random/base/uniform' ); +var bernoulli = require( '@stdlib/random/base/bernoulli' ); +var filledarrayBy = require( '@stdlib/array/filled-by' ); +var tryRequire = require( '@stdlib/utils/try-require' ); +var pkg = require( './../package.json' ).name; + + +// VARIABLES // + +var dnanmin = tryRequire( resolve( __dirname, './../lib/dnanmin.native.js' ) ); +var opts = { + 'skip': ( dnanmin instanceof Error ) +}; + + +// FUNCTIONS // + +/** +* Returns a random number. +* +* @private +* @returns {number} random number or `NaN` +*/ +function rand() { + if ( bernoulli( 0.8 ) < 1 ) { + return NaN; + } + return uniform( -10.0, 10.0 ); +} + +/** +* Creates a benchmark function. +* +* @private +* @param {PositiveInteger} len - array length +* @returns {Function} benchmark function +*/ +function createBenchmark( len ) { + var x = filledarrayBy( len, 'float64', rand ); + return benchmark; + + function benchmark( b ) { + var v; + var i; + + b.tic(); + for ( i = 0; i < b.iterations; i++ ) { + v = dnanmin( 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( pkg+'::native:len='+len, opts, f ); + } +} + +main(); diff --git a/lib/node_modules/@stdlib/stats/strided/dnanmin/benchmark/benchmark.ndarray.js b/lib/node_modules/@stdlib/stats/strided/dnanmin/benchmark/benchmark.ndarray.js new file mode 100644 index 000000000000..fa858de321c3 --- /dev/null +++ b/lib/node_modules/@stdlib/stats/strided/dnanmin/benchmark/benchmark.ndarray.js @@ -0,0 +1,104 @@ +/** +* @license Apache-2.0 +* +* Copyright (c) 2020 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 pow = require( '@stdlib/math/base/special/pow' ); +var uniform = require( '@stdlib/random/base/uniform' ); +var bernoulli = require( '@stdlib/random/base/bernoulli' ); +var filledarrayBy = require( '@stdlib/array/filled-by' ); +var pkg = require( './../package.json' ).name; +var dnanmin = require( './../lib/ndarray.js' ); + + +// FUNCTIONS // + +/** +* Returns a random number. +* +* @private +* @returns {number} random number or `NaN` +*/ +function rand() { + if ( bernoulli( 0.8 ) < 1 ) { + return NaN; + } + return uniform( -10.0, 10.0 ); +} + +/** +* Creates a benchmark function. +* +* @private +* @param {PositiveInteger} len - array length +* @returns {Function} benchmark function +*/ +function createBenchmark( len ) { + var x = filledarrayBy( len, 'float64', rand ); + return benchmark; + + function benchmark( b ) { + var v; + var i; + + b.tic(); + for ( i = 0; i < b.iterations; i++ ) { + v = dnanmin( 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( pkg+':ndarray:len='+len, f ); + } +} + +main(); diff --git a/lib/node_modules/@stdlib/stats/strided/dnanmin/benchmark/benchmark.ndarray.native.js b/lib/node_modules/@stdlib/stats/strided/dnanmin/benchmark/benchmark.ndarray.native.js new file mode 100644 index 000000000000..96ceb1894986 --- /dev/null +++ b/lib/node_modules/@stdlib/stats/strided/dnanmin/benchmark/benchmark.ndarray.native.js @@ -0,0 +1,113 @@ +/** +* @license Apache-2.0 +* +* Copyright (c) 2020 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 pow = require( '@stdlib/math/base/special/pow' ); +var uniform = require( '@stdlib/random/base/uniform' ); +var bernoulli = require( '@stdlib/random/base/bernoulli' ); +var filledarrayBy = require( '@stdlib/array/filled-by' ); +var tryRequire = require( '@stdlib/utils/try-require' ); +var pkg = require( './../package.json' ).name; + + +// VARIABLES // + +var dnanmin = tryRequire( resolve( __dirname, './../lib/ndarray.native.js' ) ); +var opts = { + 'skip': ( dnanmin instanceof Error ) +}; + + +// FUNCTIONS // + +/** +* Returns a random number. +* +* @private +* @returns {number} random number or `NaN` +*/ +function rand() { + if ( bernoulli( 0.8 ) < 1 ) { + return NaN; + } + return uniform( -10.0, 10.0 ); +} + +/** +* Creates a benchmark function. +* +* @private +* @param {PositiveInteger} len - array length +* @returns {Function} benchmark function +*/ +function createBenchmark( len ) { + var x = filledarrayBy( len, 'float64', rand ); + return benchmark; + + function benchmark( b ) { + var v; + var i; + + b.tic(); + for ( i = 0; i < b.iterations; i++ ) { + v = dnanmin( 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( pkg+'::native:ndarray:len='+len, opts, f ); + } +} + +main(); diff --git a/lib/node_modules/@stdlib/stats/strided/dnanmin/benchmark/c/Makefile b/lib/node_modules/@stdlib/stats/strided/dnanmin/benchmark/c/Makefile new file mode 100644 index 000000000000..7280962b4c4d --- /dev/null +++ b/lib/node_modules/@stdlib/stats/strided/dnanmin/benchmark/c/Makefile @@ -0,0 +1,146 @@ +#/ +# @license Apache-2.0 +# +# Copyright (c) 2020 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/dnanmin/benchmark/c/benchmark.length.c b/lib/node_modules/@stdlib/stats/strided/dnanmin/benchmark/c/benchmark.length.c new file mode 100644 index 000000000000..4fb45fe003c8 --- /dev/null +++ b/lib/node_modules/@stdlib/stats/strided/dnanmin/benchmark/c/benchmark.length.c @@ -0,0 +1,205 @@ +/** +* @license Apache-2.0 +* +* Copyright (c) 2020 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/dnanmin.h" +#include +#include +#include +#include +#include + +#define NAME "dnanmin" +#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 len array length +* @return elapsed time in seconds +*/ +static double benchmark1( int iterations, int len ) { + double elapsed; + double x[ len ]; + double v; + double t; + int i; + + for ( i = 0; i < len; i++ ) { + if ( rand_double() < 0.2 ) { + x[ i ] = 0.0 / 0.0; // NaN + } else { + x[ i ] = ( rand_double() * 20000.0 ) - 10000.0; + } + } + v = 0.0; + t = tic(); + for ( i = 0; i < iterations; i++ ) { + // cppcheck-suppress uninitvar + v = stdlib_strided_dnanmin( 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" ); + } + 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[ len ]; + double v; + double t; + int i; + + for ( i = 0; i < len; i++ ) { + if ( rand_double() < 0.2 ) { + x[ i ] = 0.0 / 0.0; // NaN + } else { + x[ i ] = ( rand_double() * 20000.0 ) - 10000.0; + } + } + v = 0.0; + t = tic(); + for ( i = 0; i < iterations; i++ ) { + // cppcheck-suppress uninitvar + v = stdlib_strided_dnanmin_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" ); + } + 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/dnanmin/binding.gyp b/lib/node_modules/@stdlib/stats/strided/dnanmin/binding.gyp new file mode 100644 index 000000000000..7d0005b2e390 --- /dev/null +++ b/lib/node_modules/@stdlib/stats/strided/dnanmin/binding.gyp @@ -0,0 +1,170 @@ +# @license Apache-2.0 +# +# Copyright (c) 2020 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/dnanmin/docs/repl.txt b/lib/node_modules/@stdlib/stats/strided/dnanmin/docs/repl.txt new file mode 100644 index 000000000000..853168839a15 --- /dev/null +++ b/lib/node_modules/@stdlib/stats/strided/dnanmin/docs/repl.txt @@ -0,0 +1,90 @@ + +{{alias}}( N, x, strideX ) + Computes the minimum value of a double-precision floating-point strided + array, ignoring `NaN` values. + + 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 + Input array. + + strideX: integer + Stride length. + + Returns + ------- + out: number + Minimum value. + + Examples + -------- + // Standard Usage: + > var x = new {{alias:@stdlib/array/float64}}( [ 1.0, -2.0, NaN, 2.0 ] ); + > {{alias}}( x.length, x, 1 ) + -2.0 + + // Using `N` and stride parameters: + > x = new {{alias:@stdlib/array/float64}}( [ -2.0, 1.0, 1.0, -5.0, 2.0, -1.0, NaN ] ); + > {{alias}}( 3, x, 2 ) + -2.0 + + // Using view offsets: + > var x0 = new {{alias:@stdlib/array/float64}}( [ 1.0, -2.0, 3.0, 2.0, 5.0, -1.0, NaN ] ); + > var x1 = new {{alias:@stdlib/array/float64}}( x0.buffer, x0.BYTES_PER_ELEMENT*1 ); + > {{alias}}( 3, x1, 2 ) + -2.0 + + +{{alias}}.ndarray( N, x, strideX, offsetX ) + Computes the minimum value of a double-precision floating-point strided + array, ignoring `NaN` values and 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 + Input array. + + strideX: integer + Stride length. + + offsetX: integer + Starting index. + + Returns + ------- + out: number + Minimum value. + + Examples + -------- + // Standard Usage: + > var x = new {{alias:@stdlib/array/float64}}( [ 1.0, -2.0, 2.0, NaN ] ); + > {{alias}}.ndarray( x.length, x, 1, 0 ) + -2.0 + + // Using offset parameter: + > var x = new {{alias:@stdlib/array/float64}}( [ 1.0, -2.0, 3.0, 2.0, 5.0, -1.0, NaN ] ); + > {{alias}}.ndarray( 3, x, 2, 1 ) + -2.0 + + See Also + -------- + diff --git a/lib/node_modules/@stdlib/stats/strided/dnanmin/docs/types/index.d.ts b/lib/node_modules/@stdlib/stats/strided/dnanmin/docs/types/index.d.ts new file mode 100644 index 000000000000..0c5c78168a77 --- /dev/null +++ b/lib/node_modules/@stdlib/stats/strided/dnanmin/docs/types/index.d.ts @@ -0,0 +1,92 @@ +/* +* @license Apache-2.0 +* +* Copyright (c) 2020 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 `dnanmin`. +*/ +interface Routine { + /** + * Computes the minimum value of a double-precision floating-point strided array, ignoring `NaN` values. + * + * @param N - number of indexed elements + * @param x - input array + * @param strideX - stride length + * @returns minimum value + * + * @example + * var Float64Array = require( '@stdlib/array/float64' ); + * + * var x = new Float64Array( [ 1.0, -2.0, NaN, 2.0 ] ); + * + * var v = dnanmin( x.length, x, 1 ); + * // returns -2.0 + */ + ( N: number, x: Float64Array, strideX: number ): number; + + /** + * Computes the minimum value of a double-precision floating-point strided array, ignoring `NaN` values and using alternative indexing semantics. + * + * @param N - number of indexed elements + * @param x - input array + * @param strideX - stride length + * @param offsetX - starting index + * @returns minimum value + * + * @example + * var Float64Array = require( '@stdlib/array/float64' ); + * + * var x = new Float64Array( [ 1.0, -2.0, NaN, 2.0 ] ); + * + * var v = dnanmin.ndarray( x.length, x, 1, 0 ); + * // returns -2.0 + */ + ndarray( N: number, x: Float64Array, strideX: number, offsetX: number ): number; +} + +/** +* Computes the minimum value of a double-precision floating-point strided array, ignoring `NaN` values. +* +* @param N - number of indexed elements +* @param x - input array +* @param strideX - stride length +* @returns minimum value +* +* @example +* var Float64Array = require( '@stdlib/array/float64' ); +* +* var x = new Float64Array( [ 1.0, -2.0, NaN, 2.0 ] ); +* +* var v = dnanmin( x.length, x, 1 ); +* // returns -2.0 +* +* @example +* var Float64Array = require( '@stdlib/array/float64' ); +* +* var x = new Float64Array( [ 1.0, -2.0, NaN, 2.0 ] ); +* +* var v = dnanmin.ndarray( x.length, x, 1, 0 ); +* // returns -2.0 +*/ +declare var dnanmin: Routine; + + +// EXPORTS // + +export = dnanmin; diff --git a/lib/node_modules/@stdlib/stats/strided/dnanmin/docs/types/test.ts b/lib/node_modules/@stdlib/stats/strided/dnanmin/docs/types/test.ts new file mode 100644 index 000000000000..8088f002ccb2 --- /dev/null +++ b/lib/node_modules/@stdlib/stats/strided/dnanmin/docs/types/test.ts @@ -0,0 +1,157 @@ +/* +* @license Apache-2.0 +* +* Copyright (c) 2020 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 dnanmin = require( './index' ); + + +// TESTS // + +// The function returns a number... +{ + const x = new Float64Array( 10 ); + + dnanmin( 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 ); + + dnanmin( '10', x, 1 ); // $ExpectError + dnanmin( true, x, 1 ); // $ExpectError + dnanmin( false, x, 1 ); // $ExpectError + dnanmin( null, x, 1 ); // $ExpectError + dnanmin( undefined, x, 1 ); // $ExpectError + dnanmin( [], x, 1 ); // $ExpectError + dnanmin( {}, x, 1 ); // $ExpectError + dnanmin( ( 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 ); + + dnanmin( x.length, 10, 1 ); // $ExpectError + dnanmin( x.length, '10', 1 ); // $ExpectError + dnanmin( x.length, true, 1 ); // $ExpectError + dnanmin( x.length, false, 1 ); // $ExpectError + dnanmin( x.length, null, 1 ); // $ExpectError + dnanmin( x.length, undefined, 1 ); // $ExpectError + dnanmin( x.length, [], 1 ); // $ExpectError + dnanmin( x.length, {}, 1 ); // $ExpectError + dnanmin( 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 ); + + dnanmin( x.length, x, '10' ); // $ExpectError + dnanmin( x.length, x, true ); // $ExpectError + dnanmin( x.length, x, false ); // $ExpectError + dnanmin( x.length, x, null ); // $ExpectError + dnanmin( x.length, x, undefined ); // $ExpectError + dnanmin( x.length, x, [] ); // $ExpectError + dnanmin( x.length, x, {} ); // $ExpectError + dnanmin( 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 ); + + dnanmin(); // $ExpectError + dnanmin( x.length ); // $ExpectError + dnanmin( x.length, x ); // $ExpectError + dnanmin( x.length, x, 1, 10 ); // $ExpectError +} + +// Attached to main export is an `ndarray` method which returns a number... +{ + const x = new Float64Array( 10 ); + + dnanmin.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 ); + + dnanmin.ndarray( '10', x, 1, 0 ); // $ExpectError + dnanmin.ndarray( true, x, 1, 0 ); // $ExpectError + dnanmin.ndarray( false, x, 1, 0 ); // $ExpectError + dnanmin.ndarray( null, x, 1, 0 ); // $ExpectError + dnanmin.ndarray( undefined, x, 1, 0 ); // $ExpectError + dnanmin.ndarray( [], x, 1, 0 ); // $ExpectError + dnanmin.ndarray( {}, x, 1, 0 ); // $ExpectError + dnanmin.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 ); + + dnanmin.ndarray( x.length, 10, 1, 0 ); // $ExpectError + dnanmin.ndarray( x.length, '10', 1, 0 ); // $ExpectError + dnanmin.ndarray( x.length, true, 1, 0 ); // $ExpectError + dnanmin.ndarray( x.length, false, 1, 0 ); // $ExpectError + dnanmin.ndarray( x.length, null, 1, 0 ); // $ExpectError + dnanmin.ndarray( x.length, undefined, 1, 0 ); // $ExpectError + dnanmin.ndarray( x.length, [], 1, 0 ); // $ExpectError + dnanmin.ndarray( x.length, {}, 1, 0 ); // $ExpectError + dnanmin.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 ); + + dnanmin.ndarray( x.length, x, '10', 0 ); // $ExpectError + dnanmin.ndarray( x.length, x, true, 0 ); // $ExpectError + dnanmin.ndarray( x.length, x, false, 0 ); // $ExpectError + dnanmin.ndarray( x.length, x, null, 0 ); // $ExpectError + dnanmin.ndarray( x.length, x, undefined, 0 ); // $ExpectError + dnanmin.ndarray( x.length, x, [], 0 ); // $ExpectError + dnanmin.ndarray( x.length, x, {}, 0 ); // $ExpectError + dnanmin.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 ); + + dnanmin.ndarray( x.length, x, 1, '10' ); // $ExpectError + dnanmin.ndarray( x.length, x, 1, true ); // $ExpectError + dnanmin.ndarray( x.length, x, 1, false ); // $ExpectError + dnanmin.ndarray( x.length, x, 1, null ); // $ExpectError + dnanmin.ndarray( x.length, x, 1, undefined ); // $ExpectError + dnanmin.ndarray( x.length, x, 1, [] ); // $ExpectError + dnanmin.ndarray( x.length, x, 1, {} ); // $ExpectError + dnanmin.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 ); + + dnanmin.ndarray(); // $ExpectError + dnanmin.ndarray( x.length ); // $ExpectError + dnanmin.ndarray( x.length, x ); // $ExpectError + dnanmin.ndarray( x.length, x, 1 ); // $ExpectError + dnanmin.ndarray( x.length, x, 1, 0, 10 ); // $ExpectError +} diff --git a/lib/node_modules/@stdlib/stats/strided/dnanmin/examples/c/Makefile b/lib/node_modules/@stdlib/stats/strided/dnanmin/examples/c/Makefile new file mode 100644 index 000000000000..ff5293d3059f --- /dev/null +++ b/lib/node_modules/@stdlib/stats/strided/dnanmin/examples/c/Makefile @@ -0,0 +1,146 @@ +#/ +# @license Apache-2.0 +# +# Copyright (c) 2020 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/dnanmin/examples/c/example.c b/lib/node_modules/@stdlib/stats/strided/dnanmin/examples/c/example.c new file mode 100644 index 000000000000..84a7fda3d5e7 --- /dev/null +++ b/lib/node_modules/@stdlib/stats/strided/dnanmin/examples/c/example.c @@ -0,0 +1,38 @@ +/** +* @license Apache-2.0 +* +* Copyright (c) 2020 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/dnanmin.h" +#include +#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, 0.0/0.0, 0.0/0.0 }; + + // Specify the number of elements: + const int N = 5; + + // Specify the stride length: + const int strideX = 2; + + // Compute the minimum value: + double v = stdlib_strided_dnanmin( N, x, strideX ); + + // Print the result: + printf( "min: %lf\n", v ); +} diff --git a/lib/node_modules/@stdlib/stats/strided/dnanmin/examples/index.js b/lib/node_modules/@stdlib/stats/strided/dnanmin/examples/index.js new file mode 100644 index 000000000000..8133d68a9c86 --- /dev/null +++ b/lib/node_modules/@stdlib/stats/strided/dnanmin/examples/index.js @@ -0,0 +1,40 @@ +/** +* @license Apache-2.0 +* +* Copyright (c) 2020 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 randu = require( '@stdlib/random/base/randu' ); +var round = require( '@stdlib/math/base/special/round' ); +var Float64Array = require( '@stdlib/array/float64' ); +var dnanmin = require( './../lib' ); + +var x; +var i; + +x = new Float64Array( 10 ); +for ( i = 0; i < x.length; i++ ) { + if ( randu() < 0.2 ) { + x[ i ] = NaN; + } else { + x[ i ] = round( (randu()*100.0) - 50.0 ); + } +} +console.log( x ); + +var v = dnanmin( x.length, x, 1 ); +console.log( v ); diff --git a/lib/node_modules/@stdlib/stats/strided/dnanmin/include.gypi b/lib/node_modules/@stdlib/stats/strided/dnanmin/include.gypi new file mode 100644 index 000000000000..26476a8c2655 --- /dev/null +++ b/lib/node_modules/@stdlib/stats/strided/dnanmin/include.gypi @@ -0,0 +1,53 @@ +# @license Apache-2.0 +# +# Copyright (c) 2020 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", + "minimum", + "min", + "range", + "extremes", + "domain", + "extent", + "strided", + "strided array", + "typed", + "array", + "float64", + "double", + "float64array" + ], + "__stdlib__": {} +} diff --git a/lib/node_modules/@stdlib/stats/strided/dnanmin/src/Makefile b/lib/node_modules/@stdlib/stats/strided/dnanmin/src/Makefile new file mode 100644 index 000000000000..dd720a3de8f2 --- /dev/null +++ b/lib/node_modules/@stdlib/stats/strided/dnanmin/src/Makefile @@ -0,0 +1,70 @@ +#/ +# @license Apache-2.0 +# +# Copyright (c) 2020 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/dnanmin/src/addon.c b/lib/node_modules/@stdlib/stats/strided/dnanmin/src/addon.c new file mode 100644 index 000000000000..49a5aecf7021 --- /dev/null +++ b/lib/node_modules/@stdlib/stats/strided/dnanmin/src/addon.c @@ -0,0 +1,61 @@ +/** +* @license Apache-2.0 +* +* Copyright (c) 2024 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/dnanmin.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_dnanmin)( 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_dnanmin_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/dnanmin/src/main.c b/lib/node_modules/@stdlib/stats/strided/dnanmin/src/main.c new file mode 100644 index 000000000000..c6cbe2825b35 --- /dev/null +++ b/lib/node_modules/@stdlib/stats/strided/dnanmin/src/main.c @@ -0,0 +1,83 @@ +/** +* @license Apache-2.0 +* +* Copyright (c) 2020 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/dnanmin.h" +#include "stdlib/math/base/assert/is_nan.h" +#include "stdlib/math/base/assert/is_negative_zero.h" +#include "stdlib/strided/base/stride2offset.h" +#include "stdlib/blas/base/shared.h" + +/** +* Computes the minimum value of a double-precision floating-point strided array, ignoring `NaN` values. +* +* @param N number of indexed elements +* @param X input array +* @param strideX stride length +* @return output value +*/ +double API_SUFFIX(stdlib_strided_dnanmin)( 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_dnanmin_ndarray)( N, X, strideX, ox ); +} + +/** +* Computes the minimum value of a double-precision floating-point strided array, ignoring `NaN` values and using alternative indexing semantics. +* +* @param N number of indexed elements +* @param X input array +* @param strideX stride length +* @param offsetX starting index for X +* @return output value +*/ +double API_SUFFIX(stdlib_strided_dnanmin_ndarray)( const CBLAS_INT N, const double *X, const CBLAS_INT strideX, const CBLAS_INT offsetX ) { + CBLAS_INT ix; + CBLAS_INT i; + double min; + double v; + + if ( N <= 0 ) { + return 0.0 / 0.0; // NaN + } + if ( N == 1 || strideX == 0 ) { + return X[ offsetX ]; + } + ix = offsetX; + for ( i = 0; i < N; i++ ) { + v = X[ ix ]; + if ( v == v ) { + break; + } + ix += strideX; + } + if ( i == N ) { + return 0.0 / 0.0; // NaN + } + min = v; + i += 1; + for (; i < N; i++ ) { + ix += strideX; + v = X[ ix ]; + if ( stdlib_base_is_nan( v ) ) { + continue; + } + if ( v < min || ( v == min && stdlib_base_is_negative_zero( v ) ) ) { + min = v; + } + } + return min; +} diff --git a/lib/node_modules/@stdlib/stats/strided/dnanmin/test/test.dnanmin.js b/lib/node_modules/@stdlib/stats/strided/dnanmin/test/test.dnanmin.js new file mode 100644 index 000000000000..f75427ab1b2a --- /dev/null +++ b/lib/node_modules/@stdlib/stats/strided/dnanmin/test/test.dnanmin.js @@ -0,0 +1,180 @@ +/** +* @license Apache-2.0 +* +* Copyright (c) 2020 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 isNegativeZero = require( '@stdlib/math/base/assert/is-negative-zero' ); +var Float64Array = require( '@stdlib/array/float64' ); +var dnanmin = require( './../lib/dnanmin.js' ); + + +// TESTS // + +tape( 'main export is a function', function test( t ) { + t.ok( true, __filename ); + t.strictEqual( typeof dnanmin, 'function', 'main export is a function' ); + t.end(); +}); + +tape( 'the function has an arity of 3', function test( t ) { + t.strictEqual( dnanmin.length, 3, 'has expected arity' ); + t.end(); +}); + +tape( 'the function calculates the minimum value of a strided array', function test( t ) { + var x; + var v; + + x = new Float64Array( [ 1.0, -2.0, -4.0, NaN, 5.0, 0.0, 3.0 ] ); + v = dnanmin( x.length, x, 1 ); + t.strictEqual( v, -4.0, 'returns expected value' ); + + x = new Float64Array( [ -4.0, NaN, -5.0 ] ); + v = dnanmin( x.length, x, 1 ); + t.strictEqual( v, -5.0, 'returns expected value' ); + + x = new Float64Array( [ 0.0, -0.0, NaN, 0.0 ] ); + v = dnanmin( x.length, x, 1 ); + t.strictEqual( isNegativeZero( v ), true, 'returns expected value' ); + + x = new Float64Array( [ NaN ] ); + v = dnanmin( x.length, x, 1 ); + t.strictEqual( isnan( v ), true, 'returns expected value' ); + + x = new Float64Array( [ NaN, NaN ] ); + v = dnanmin( x.length, x, 1 ); + t.strictEqual( isnan( v ), true, 'returns expected value' ); + + 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, -4.0, 5.0, 3.0 ] ); + + v = dnanmin( 0, x, 1 ); + t.strictEqual( isnan( v ), true, 'returns expected value' ); + + v = dnanmin( -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 the first element', function test( t ) { + var x; + var v; + + x = new Float64Array( [ 1.0, -2.0, -4.0, 5.0, 3.0 ] ); + + v = dnanmin( 1, x, 1 ); + t.strictEqual( v, 1.0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function supports a `stride` parameter', function test( t ) { + var x; + var v; + + x = new Float64Array([ + 1.0, // 0 + 2.0, + 2.0, // 1 + -7.0, + -2.0, // 2 + 3.0, + 4.0, // 3 + 2.0, + NaN, // 4 + NaN + ]); + + v = dnanmin( 5, x, 2 ); + + t.strictEqual( v, -2.0, 'returns expected value' ); + t.end(); +}); + +tape( 'the function supports a negative `stride` parameter', function test( t ) { + var x; + var v; + + x = new Float64Array([ + NaN, // 4 + NaN, + 1.0, // 3 + 2.0, + 2.0, // 2 + -7.0, + -2.0, // 1 + 3.0, + 4.0, // 0 + 2.0 + ]); + + v = dnanmin( 5, x, -2 ); + + t.strictEqual( v, -2.0, 'returns expected value' ); + t.end(); +}); + +tape( 'if provided a `stride` parameter equal to `0`, the function returns the first element', function test( t ) { + var x; + var v; + + x = new Float64Array( [ 1.0, -2.0, -4.0, 5.0, 3.0 ] ); + + v = dnanmin( x.length, x, 0 ); + t.strictEqual( v, 1.0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function supports view offsets', function test( t ) { + var x0; + var x1; + var v; + + x0 = new Float64Array([ + 2.0, + 1.0, // 0 + 2.0, + -2.0, // 1 + -2.0, + 2.0, // 2 + 3.0, + 4.0, // 3 + 6.0, + NaN, // 4 + NaN + ]); + + x1 = new Float64Array( x0.buffer, x0.BYTES_PER_ELEMENT*1 ); // start at 2nd element + + v = dnanmin( 5, x1, 2 ); + t.strictEqual( v, -2.0, 'returns expected value' ); + + t.end(); +}); diff --git a/lib/node_modules/@stdlib/stats/strided/dnanmin/test/test.dnanmin.native.js b/lib/node_modules/@stdlib/stats/strided/dnanmin/test/test.dnanmin.native.js new file mode 100644 index 000000000000..3f071f885860 --- /dev/null +++ b/lib/node_modules/@stdlib/stats/strided/dnanmin/test/test.dnanmin.native.js @@ -0,0 +1,271 @@ +/** +* @license Apache-2.0 +* +* Copyright (c) 2020 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 isNegativeZero = require( '@stdlib/math/base/assert/is-negative-zero' ); +var Float64Array = require( '@stdlib/array/float64' ); +var tryRequire = require( '@stdlib/utils/try-require' ); + + +// VARIABLES // + +var dnanmin = tryRequire( resolve( __dirname, './../lib/dnanmin.native.js' ) ); +var opts = { + 'skip': ( dnanmin instanceof Error ) +}; + + +// TESTS // + +tape( 'main export is a function', opts, function test( t ) { + t.ok( true, __filename ); + t.strictEqual( typeof dnanmin, 'function', 'main export is a function' ); + t.end(); +}); + +tape( 'the function has an arity of 3', opts, function test( t ) { + t.strictEqual( dnanmin.length, 3, 'has expected arity' ); + t.end(); +}); + +tape( 'the functions throws an error if provided a first argument which is not a number', opts, function test( t ) { + var values; + var i; + + values = [ + '5', + true, + false, + null, + void 0, + [], + {}, + function noop() {} + ]; + + for ( i = 0; i < values.length; i++ ) { + t.throws( badValue( values[ i ] ), TypeError, 'throws an error when provided ' + values[ i ] ); + } + t.end(); + + function badValue( value ) { + return function badValue() { + dnanmin( value, new Float64Array( 10 ), 1 ); + }; + } +}); + +tape( 'the functions throws an error if provided a second argument which is not a Float64Array', opts, function test( t ) { + var values; + var i; + + values = [ + '5', + 5, + true, + false, + null, + void 0, + [], + {}, + function noop() {} + ]; + + for ( i = 0; i < values.length; i++ ) { + t.throws( badValue( values[ i ] ), TypeError, 'throws an error when provided ' + values[ i ] ); + } + t.end(); + + function badValue( value ) { + return function badValue() { + dnanmin( 10, value, 1 ); + }; + } +}); + +tape( 'the functions throws an error if provided a third argument which is not a number', opts, function test( t ) { + var values; + var i; + + values = [ + '5', + true, + false, + null, + void 0, + [], + {}, + function noop() {} + ]; + + for ( i = 0; i < values.length; i++ ) { + t.throws( badValue( values[ i ] ), TypeError, 'throws an error when provided ' + values[ i ] ); + } + t.end(); + + function badValue( value ) { + return function badValue() { + dnanmin( 10, new Float64Array( 10 ), value ); + }; + } +}); + +tape( 'the function calculates the minimum value of a strided array', opts, function test( t ) { + var x; + var v; + + x = new Float64Array( [ 1.0, -2.0, -4.0, NaN, 5.0, 0.0, 3.0 ] ); + v = dnanmin( x.length, x, 1 ); + t.strictEqual( v, -4.0, 'returns expected value' ); + + x = new Float64Array( [ -4.0, NaN, -5.0 ] ); + v = dnanmin( x.length, x, 1 ); + t.strictEqual( v, -5.0, 'returns expected value' ); + + x = new Float64Array( [ 0.0, -0.0, NaN, 0.0 ] ); + v = dnanmin( x.length, x, 1 ); + t.strictEqual( isNegativeZero( v ), true, 'returns expected value' ); + + x = new Float64Array( [ NaN ] ); + v = dnanmin( x.length, x, 1 ); + t.strictEqual( isnan( v ), true, 'returns expected value' ); + + x = new Float64Array( [ NaN, NaN ] ); + v = dnanmin( x.length, x, 1 ); + t.strictEqual( isnan( v ), true, 'returns expected value' ); + + 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, -4.0, 5.0, 3.0 ] ); + + v = dnanmin( 0, x, 1 ); + t.strictEqual( isnan( v ), true, 'returns expected value' ); + + v = dnanmin( -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 the first element', opts, function test( t ) { + var x; + var v; + + x = new Float64Array( [ 1.0, -2.0, -4.0, 5.0, 3.0 ] ); + + v = dnanmin( 1, x, 1 ); + t.strictEqual( v, 1.0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function supports a `stride` parameter', opts, function test( t ) { + var x; + var v; + + x = new Float64Array([ + 1.0, // 0 + 2.0, + 2.0, // 1 + -7.0, + -2.0, // 2 + 3.0, + 4.0, // 3 + 2.0, + NaN, // 4 + NaN + ]); + + v = dnanmin( 5, x, 2 ); + + t.strictEqual( v, -2.0, 'returns expected value' ); + t.end(); +}); + +tape( 'the function supports a negative `stride` parameter', opts, function test( t ) { + var x; + var v; + + x = new Float64Array([ + NaN, // 4 + NaN, + 1.0, // 3 + 2.0, + 2.0, // 2 + -7.0, + -2.0, // 1 + 3.0, + 4.0, // 0 + 2.0 + ]); + + v = dnanmin( 5, x, -2 ); + + t.strictEqual( v, -2.0, 'returns expected value' ); + t.end(); +}); + +tape( 'if provided a `stride` parameter equal to `0`, the function returns the first element', opts, function test( t ) { + var x; + var v; + + x = new Float64Array( [ 1.0, -2.0, -4.0, 5.0, 3.0 ] ); + + v = dnanmin( x.length, x, 0 ); + t.strictEqual( v, 1.0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function supports view offsets', opts, function test( t ) { + var x0; + var x1; + var v; + + x0 = new Float64Array([ + 2.0, + 1.0, // 0 + 2.0, + -2.0, // 1 + -2.0, + 2.0, // 2 + 3.0, + 4.0, // 3 + 6.0, + NaN, // 4 + NaN + ]); + + x1 = new Float64Array( x0.buffer, x0.BYTES_PER_ELEMENT*1 ); // start at 2nd element + + v = dnanmin( 5, x1, 2 ); + t.strictEqual( v, -2.0, 'returns expected value' ); + + t.end(); +}); diff --git a/lib/node_modules/@stdlib/stats/strided/dnanmin/test/test.js b/lib/node_modules/@stdlib/stats/strided/dnanmin/test/test.js new file mode 100644 index 000000000000..59cfb0a80ec7 --- /dev/null +++ b/lib/node_modules/@stdlib/stats/strided/dnanmin/test/test.js @@ -0,0 +1,82 @@ +/** +* @license Apache-2.0 +* +* Copyright (c) 2020 The Stdlib Authors. +* +* Licensed under the Apache License, Version 2.0 (the "License"); +* you may not use this file except in compliance with the License. +* You may obtain a copy of the License at +* +* http://www.apache.org/licenses/LICENSE-2.0 +* +* Unless required by applicable law or agreed to in writing, software +* distributed under the License is distributed on an "AS IS" BASIS, +* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +* See the License for the specific language governing permissions and +* limitations under the License. +*/ + +'use strict'; + +// MODULES // + +var tape = require( 'tape' ); +var proxyquire = require( 'proxyquire' ); +var IS_BROWSER = require( '@stdlib/assert/is-browser' ); +var dnanmin = require( './../lib' ); + + +// VARIABLES // + +var opts = { + 'skip': IS_BROWSER +}; + + +// TESTS // + +tape( 'main export is a function', function test( t ) { + t.ok( true, __filename ); + t.strictEqual( typeof dnanmin, '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 dnanmin.ndarray, 'function', 'method is a function' ); + t.end(); +}); + +tape( 'if a native implementation is available, the main export is the native implementation', opts, function test( t ) { + var dnanmin = proxyquire( './../lib', { + '@stdlib/utils/try-require': tryRequire + }); + + t.strictEqual( dnanmin, mock, 'returns expected value' ); + t.end(); + + function tryRequire() { + return mock; + } + + function mock() { + // Mock... + } +}); + +tape( 'if a native implementation is not available, the main export is a JavaScript implementation', opts, function test( t ) { + var dnanmin; + var main; + + main = require( './../lib/dnanmin.js' ); + + dnanmin = proxyquire( './../lib', { + '@stdlib/utils/try-require': tryRequire + }); + + t.strictEqual( dnanmin, main, 'returns expected value' ); + t.end(); + + function tryRequire() { + return new Error( 'Cannot find module' ); + } +}); diff --git a/lib/node_modules/@stdlib/stats/strided/dnanmin/test/test.ndarray.js b/lib/node_modules/@stdlib/stats/strided/dnanmin/test/test.ndarray.js new file mode 100644 index 000000000000..c63a66c3254f --- /dev/null +++ b/lib/node_modules/@stdlib/stats/strided/dnanmin/test/test.ndarray.js @@ -0,0 +1,176 @@ +/** +* @license Apache-2.0 +* +* Copyright (c) 2020 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 isNegativeZero = require( '@stdlib/math/base/assert/is-negative-zero' ); +var Float64Array = require( '@stdlib/array/float64' ); +var dnanmin = require( './../lib/ndarray.js' ); + + +// TESTS // + +tape( 'main export is a function', function test( t ) { + t.ok( true, __filename ); + t.strictEqual( typeof dnanmin, 'function', 'main export is a function' ); + t.end(); +}); + +tape( 'the function has an arity of 4', function test( t ) { + t.strictEqual( dnanmin.length, 4, 'has expected arity' ); + t.end(); +}); + +tape( 'the function calculates the minimum value of a strided array', function test( t ) { + var x; + var v; + + x = new Float64Array( [ 1.0, -2.0, -4.0, NaN, 5.0, 0.0, 3.0 ] ); + v = dnanmin( x.length, x, 1, 0 ); + t.strictEqual( v, -4.0, 'returns expected value' ); + + x = new Float64Array( [ -4.0, NaN, -5.0 ] ); + v = dnanmin( x.length, x, 1, 0 ); + t.strictEqual( v, -5.0, 'returns expected value' ); + + x = new Float64Array( [ 0.0, -0.0, NaN, 0.0 ] ); + v = dnanmin( x.length, x, 1, 0 ); + t.strictEqual( isNegativeZero( v ), true, 'returns expected value' ); + + x = new Float64Array( [ NaN ] ); + v = dnanmin( x.length, x, 1, 0 ); + t.strictEqual( isnan( v ), true, 'returns expected value' ); + + x = new Float64Array( [ NaN, NaN ] ); + v = dnanmin( x.length, x, 1, 0 ); + t.strictEqual( isnan( v ), true, 'returns expected value' ); + + 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, -4.0, 5.0, 3.0 ] ); + + v = dnanmin( 0, x, 1, 0 ); + t.strictEqual( isnan( v ), true, 'returns expected value' ); + + v = dnanmin( -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 the first indexed element', function test( t ) { + var x; + var v; + + x = new Float64Array( [ 1.0, -2.0, -4.0, 5.0, 3.0 ] ); + + v = dnanmin( 1, x, 1, 0 ); + t.strictEqual( v, 1.0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function supports a `stride` parameter', function test( t ) { + var x; + var v; + + x = new Float64Array([ + 1.0, // 0 + 2.0, + 2.0, // 1 + -7.0, + -2.0, // 2 + 3.0, + 4.0, // 3 + 2.0, + NaN, // 4 + NaN + ]); + + v = dnanmin( 5, x, 2, 0 ); + + t.strictEqual( v, -2.0, 'returns expected value' ); + t.end(); +}); + +tape( 'the function supports a negative `stride` parameter', function test( t ) { + var x; + var v; + + x = new Float64Array([ + NaN, // 4 + NaN, + 1.0, // 3 + 2.0, + 2.0, // 2 + -7.0, + -2.0, // 1 + 3.0, + 4.0, // 0 + 2.0 + ]); + + v = dnanmin( 5, x, -2, 8 ); + + t.strictEqual( v, -2.0, 'returns expected value' ); + t.end(); +}); + +tape( 'if provided a `stride` parameter equal to `0`, the function returns the first indexed element', function test( t ) { + var x; + var v; + + x = new Float64Array( [ 1.0, -2.0, -4.0, 5.0, 3.0 ] ); + + v = dnanmin( x.length, x, 0, 0 ); + t.strictEqual( v, 1.0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function supports an `offset` parameter', function test( t ) { + var x; + var v; + + x = new Float64Array([ + 2.0, + 1.0, // 0 + 2.0, + -2.0, // 1 + -2.0, + 2.0, // 2 + 3.0, + 4.0, // 3 + NaN, + NaN // 4 + ]); + + v = dnanmin( 5, x, 2, 1 ); + t.strictEqual( v, -2.0, 'returns expected value' ); + + t.end(); +}); diff --git a/lib/node_modules/@stdlib/stats/strided/dnanmin/test/test.ndarray.native.js b/lib/node_modules/@stdlib/stats/strided/dnanmin/test/test.ndarray.native.js new file mode 100644 index 000000000000..26cc51fa7d59 --- /dev/null +++ b/lib/node_modules/@stdlib/stats/strided/dnanmin/test/test.ndarray.native.js @@ -0,0 +1,185 @@ +/** +* @license Apache-2.0 +* +* Copyright (c) 2020 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 isNegativeZero = require( '@stdlib/math/base/assert/is-negative-zero' ); +var Float64Array = require( '@stdlib/array/float64' ); +var tryRequire = require( '@stdlib/utils/try-require' ); + + +// VARIABLES // + +var dnanmin = tryRequire( resolve( __dirname, './../lib/ndarray.native.js' ) ); +var opts = { + 'skip': ( dnanmin instanceof Error ) +}; + + +// TESTS // + +tape( 'main export is a function', opts, function test( t ) { + t.ok( true, __filename ); + t.strictEqual( typeof dnanmin, 'function', 'main export is a function' ); + t.end(); +}); + +tape( 'the function has an arity of 4', opts, function test( t ) { + t.strictEqual( dnanmin.length, 4, 'has expected arity' ); + t.end(); +}); + +tape( 'the function calculates the minimum value of a strided array', opts, function test( t ) { + var x; + var v; + + x = new Float64Array( [ 1.0, -2.0, -4.0, NaN, 5.0, 0.0, 3.0 ] ); + v = dnanmin( x.length, x, 1, 0 ); + t.strictEqual( v, -4.0, 'returns expected value' ); + + x = new Float64Array( [ -4.0, NaN, -5.0 ] ); + v = dnanmin( x.length, x, 1, 0 ); + t.strictEqual( v, -5.0, 'returns expected value' ); + + x = new Float64Array( [ 0.0, -0.0, NaN, 0.0 ] ); + v = dnanmin( x.length, x, 1, 0 ); + t.strictEqual( isNegativeZero( v ), true, 'returns expected value' ); + + x = new Float64Array( [ NaN ] ); + v = dnanmin( x.length, x, 1, 0 ); + t.strictEqual( isnan( v ), true, 'returns expected value' ); + + x = new Float64Array( [ NaN, NaN ] ); + v = dnanmin( x.length, x, 1, 0 ); + t.strictEqual( isnan( v ), true, 'returns expected value' ); + + 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, -4.0, 5.0, 3.0 ] ); + + v = dnanmin( 0, x, 1, 0 ); + t.strictEqual( isnan( v ), true, 'returns expected value' ); + + v = dnanmin( -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 the first indexed element', opts, function test( t ) { + var x; + var v; + + x = new Float64Array( [ 1.0, -2.0, -4.0, 5.0, 3.0 ] ); + + v = dnanmin( 1, x, 1, 0 ); + t.strictEqual( v, 1.0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function supports a `stride` parameter', opts, function test( t ) { + var x; + var v; + + x = new Float64Array([ + 1.0, // 0 + 2.0, + 2.0, // 1 + -7.0, + -2.0, // 2 + 3.0, + 4.0, // 3 + 2.0, + NaN, // 4 + NaN + ]); + + v = dnanmin( 5, x, 2, 0 ); + + t.strictEqual( v, -2.0, 'returns expected value' ); + t.end(); +}); + +tape( 'the function supports a negative `stride` parameter', opts, function test( t ) { + var x; + var v; + + x = new Float64Array([ + NaN, // 4 + NaN, + 1.0, // 3 + 2.0, + 2.0, // 2 + -7.0, + -2.0, // 1 + 3.0, + 4.0, // 0 + 2.0 + ]); + + v = dnanmin( 5, x, -2, 8 ); + + t.strictEqual( v, -2.0, 'returns expected value' ); + t.end(); +}); + +tape( 'if provided a `stride` parameter equal to `0`, the function returns the first indexed element', opts, function test( t ) { + var x; + var v; + + x = new Float64Array( [ 1.0, -2.0, -4.0, 5.0, 3.0 ] ); + + v = dnanmin( x.length, x, 0, 0 ); + t.strictEqual( v, 1.0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function supports an `offset` parameter', opts, function test( t ) { + var x; + var v; + + x = new Float64Array([ + 2.0, + 1.0, // 0 + 2.0, + -2.0, // 1 + -2.0, + 2.0, // 2 + 3.0, + 4.0, // 3 + NaN, + NaN // 4 + ]); + + v = dnanmin( 5, x, 2, 1 ); + t.strictEqual( v, -2.0, 'returns expected value' ); + + t.end(); +}); From ca39798dd6665b4e5ef1093e2eb3c528ffaf8ae9 Mon Sep 17 00:00:00 2001 From: aayush0325 Date: Sun, 23 Mar 2025 01:35:29 +0530 Subject: [PATCH 2/4] remove: remove `stats/base/dnanmin` from namespace This commit removes the `dnanmin` symbol from the `@stdlib/stats/base` namespace due to a package migration. BREAKING CHANGE: remove `stats/base/dnanmin` To migrate, users should access the same symbol via the `@stdlib/stats/strided/dnanmin` namespace. --- 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: na - task: lint_repl_help status: na - task: lint_javascript_src status: passed - 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 --- --- .../@stdlib/stats/base/docs/types/index.d.ts | 27 ------------------- .../@stdlib/stats/base/lib/index.js | 9 ------- 2 files changed, 36 deletions(-) diff --git a/lib/node_modules/@stdlib/stats/base/docs/types/index.d.ts b/lib/node_modules/@stdlib/stats/base/docs/types/index.d.ts index 02a2392516b7..42e868ee130c 100644 --- a/lib/node_modules/@stdlib/stats/base/docs/types/index.d.ts +++ b/lib/node_modules/@stdlib/stats/base/docs/types/index.d.ts @@ -38,7 +38,6 @@ import dmskrange = require( '@stdlib/stats/base/dmskrange' ); import dnanmeanpn = require( '@stdlib/stats/base/dnanmeanpn' ); import dnanmeanpw = require( '@stdlib/stats/base/dnanmeanpw' ); import dnanmeanwd = require( '@stdlib/stats/base/dnanmeanwd' ); -import dnanmin = require( '@stdlib/stats/base/dnanmin' ); import dnanminabs = require( '@stdlib/stats/base/dnanminabs' ); import dnanmskmax = require( '@stdlib/stats/base/dnanmskmax' ); import dnanmskmin = require( '@stdlib/stats/base/dnanmskmin' ); @@ -722,32 +721,6 @@ interface Namespace { */ dnanmeanwd: typeof dnanmeanwd; - /** - * Computes the minimum value of a double-precision floating-point strided array, ignoring `NaN` values. - * - * @param N - number of indexed elements - * @param x - input array - * @param strideX - stride length - * @returns minimum value - * - * @example - * var Float64Array = require( '@stdlib/array/float64' ); - * - * var x = new Float64Array( [ 1.0, -2.0, NaN, 2.0 ] ); - * - * var v = ns.dnanmin( x.length, x, 1 ); - * // returns -2.0 - * - * @example - * var Float64Array = require( '@stdlib/array/float64' ); - * - * var x = new Float64Array( [ 1.0, -2.0, NaN, 2.0 ] ); - * - * var v = ns.dnanmin.ndarray( x.length, x, 1, 0 ); - * // returns -2.0 - */ - dnanmin: typeof dnanmin; - /** * Computes the minimum absolute value of a double-precision floating-point strided array, ignoring `NaN` values. * diff --git a/lib/node_modules/@stdlib/stats/base/lib/index.js b/lib/node_modules/@stdlib/stats/base/lib/index.js index cd94806c147f..68dc66bd4934 100644 --- a/lib/node_modules/@stdlib/stats/base/lib/index.js +++ b/lib/node_modules/@stdlib/stats/base/lib/index.js @@ -198,15 +198,6 @@ setReadOnly( ns, 'dnanmeanpw', require( '@stdlib/stats/base/dnanmeanpw' ) ); */ setReadOnly( ns, 'dnanmeanwd', require( '@stdlib/stats/base/dnanmeanwd' ) ); -/** -* @name dnanmin -* @memberof ns -* @readonly -* @type {Function} -* @see {@link module:@stdlib/stats/base/dnanmin} -*/ -setReadOnly( ns, 'dnanmin', require( '@stdlib/stats/base/dnanmin' ) ); - /** * @name dnanminabs * @memberof ns From 6a9e1d901b78064e9789a8b035149177c97e4682 Mon Sep 17 00:00:00 2001 From: aayush0325 Date: Sun, 23 Mar 2025 01:36:36 +0530 Subject: [PATCH 3/4] refactor: update paths Ref: https://github.com/stdlib-js/stdlib/issues/4797 --- 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: na - task: lint_repl_help status: na - task: lint_javascript_src status: passed - 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: na - task: lint_typescript_tests status: na - task: lint_license_headers status: passed --- --- .../namespace/lib/namespace/base/strided/d.js | 16 ++++++++-------- .../namespace/lib/namespace/base/strided/n.js | 4 ++-- .../namespace/lib/namespace/base/strided/s.js | 2 +- lib/node_modules/@stdlib/stats/base/README.md | 4 ++-- .../@stdlib/stats/base/dmskmin/README.md | 4 ++-- .../@stdlib/stats/base/dnanminabs/README.md | 4 ++-- .../@stdlib/stats/base/dnanmskmin/README.md | 4 ++-- .../@stdlib/stats/base/dnanrange/README.md | 4 ++-- .../@stdlib/stats/base/nanmin-by/README.md | 8 ++++---- .../@stdlib/stats/base/nanmin/README.md | 6 +++--- .../@stdlib/stats/base/snanmin/README.md | 4 ++-- .../@stdlib/stats/strided/dmin/README.md | 4 ++-- .../@stdlib/stats/strided/dnanmax/README.md | 4 ++-- 13 files changed, 34 insertions(+), 34 deletions(-) diff --git a/lib/node_modules/@stdlib/namespace/lib/namespace/base/strided/d.js b/lib/node_modules/@stdlib/namespace/lib/namespace/base/strided/d.js index 4273bfa1d905..af477de0fa7a 100644 --- a/lib/node_modules/@stdlib/namespace/lib/namespace/base/strided/d.js +++ b/lib/node_modules/@stdlib/namespace/lib/namespace/base/strided/d.js @@ -697,7 +697,7 @@ ns.push({ 'type': 'Function', 'related': [ '@stdlib/stats/strided/dmax', - '@stdlib/stats/base/dnanmin', + '@stdlib/stats/strided/dnanmin', '@stdlib/stats/base/min', '@stdlib/stats/base/smin' ] @@ -882,7 +882,7 @@ ns.push({ 'related': [ '@stdlib/stats/strided/dmin', '@stdlib/stats/base/dmskmax', - '@stdlib/stats/base/dnanmin', + '@stdlib/stats/strided/dnanmin', '@stdlib/stats/base/dnanmskmin', '@stdlib/stats/base/mskmin', '@stdlib/stats/base/smskmin' @@ -997,7 +997,7 @@ ns.push({ 'type': 'Function', 'related': [ '@stdlib/stats/strided/dmax', - '@stdlib/stats/base/dnanmin', + '@stdlib/stats/strided/dnanmin', '@stdlib/stats/base/nanmax', '@stdlib/stats/base/snanmax' ] @@ -1083,8 +1083,8 @@ ns.push({ ns.push({ 'alias': 'base.strided.dnanmin', - 'path': '@stdlib/stats/base/dnanmin', - 'value': require( '@stdlib/stats/base/dnanmin' ), + 'path': '@stdlib/stats/strided/dnanmin', + 'value': require( '@stdlib/stats/strided/dnanmin' ), 'type': 'Function', 'related': [ '@stdlib/stats/strided/dmin', @@ -1102,7 +1102,7 @@ ns.push({ 'related': [ '@stdlib/stats/strided/dminabs', '@stdlib/stats/strided/dnanmaxabs', - '@stdlib/stats/base/dnanmin', + '@stdlib/stats/strided/dnanmin', '@stdlib/stats/base/nanminabs', '@stdlib/stats/base/snanminabs' ] @@ -1129,7 +1129,7 @@ ns.push({ 'type': 'Function', 'related': [ '@stdlib/stats/base/dmskmin', - '@stdlib/stats/base/dnanmin', + '@stdlib/stats/strided/dnanmin', '@stdlib/stats/base/dnanmskmax', '@stdlib/stats/base/nanmskmin', '@stdlib/stats/base/snanmskmin' @@ -1235,7 +1235,7 @@ ns.push({ 'type': 'Function', 'related': [ '@stdlib/stats/strided/dnanmax', - '@stdlib/stats/base/dnanmin', + '@stdlib/stats/strided/dnanmin', '@stdlib/stats/base/drange', '@stdlib/stats/base/nanrange', '@stdlib/stats/base/snanrange' diff --git a/lib/node_modules/@stdlib/namespace/lib/namespace/base/strided/n.js b/lib/node_modules/@stdlib/namespace/lib/namespace/base/strided/n.js index 00e8d6a904f2..f5f08bb06882 100644 --- a/lib/node_modules/@stdlib/namespace/lib/namespace/base/strided/n.js +++ b/lib/node_modules/@stdlib/namespace/lib/namespace/base/strided/n.js @@ -126,7 +126,7 @@ ns.push({ 'value': require( '@stdlib/stats/base/nanmin' ), 'type': 'Function', 'related': [ - '@stdlib/stats/base/dnanmin', + '@stdlib/stats/strided/dnanmin', '@stdlib/stats/base/min', '@stdlib/stats/base/nanmax', '@stdlib/stats/base/snanmin' @@ -153,7 +153,7 @@ ns.push({ 'value': require( '@stdlib/stats/base/nanmin-by' ), 'type': 'Function', 'related': [ - '@stdlib/stats/base/dnanmin', + '@stdlib/stats/strided/dnanmin', '@stdlib/stats/base/min-by', '@stdlib/stats/base/nanmax-by', '@stdlib/stats/base/nanmin', diff --git a/lib/node_modules/@stdlib/namespace/lib/namespace/base/strided/s.js b/lib/node_modules/@stdlib/namespace/lib/namespace/base/strided/s.js index 69eaaa638a4c..e2d3049a6896 100644 --- a/lib/node_modules/@stdlib/namespace/lib/namespace/base/strided/s.js +++ b/lib/node_modules/@stdlib/namespace/lib/namespace/base/strided/s.js @@ -1131,7 +1131,7 @@ ns.push({ 'value': require( '@stdlib/stats/base/snanmin' ), 'type': 'Function', 'related': [ - '@stdlib/stats/base/dnanmin', + '@stdlib/stats/strided/dnanmin', '@stdlib/stats/base/nanmin', '@stdlib/stats/base/smin', '@stdlib/stats/base/snanmax' diff --git a/lib/node_modules/@stdlib/stats/base/README.md b/lib/node_modules/@stdlib/stats/base/README.md index 2ee98172684b..14cb42a89f77 100644 --- a/lib/node_modules/@stdlib/stats/base/README.md +++ b/lib/node_modules/@stdlib/stats/base/README.md @@ -74,7 +74,7 @@ The namespace contains the following statistical functions: - [`dnanmeanpn( N, x, strideX )`][@stdlib/stats/base/dnanmeanpn]: calculate the arithmetic mean of a double-precision floating-point strided array, ignoring `NaN` values and using a two-pass error correction algorithm. - [`dnanmeanpw( N, x, strideX )`][@stdlib/stats/base/dnanmeanpw]: calculate the arithmetic mean of a double-precision floating-point strided array, ignoring `NaN` values and using pairwise summation. - [`dnanmeanwd( N, x, strideX )`][@stdlib/stats/base/dnanmeanwd]: calculate the arithmetic mean of a double-precision floating-point strided array, using Welford's algorithm and ignoring `NaN` values. -- [`dnanmin( N, x, strideX )`][@stdlib/stats/base/dnanmin]: calculate the minimum value of a double-precision floating-point strided array, ignoring `NaN` values. +- [`dnanmin( N, x, strideX )`][@stdlib/stats/strided/dnanmin]: calculate the minimum value of a double-precision floating-point strided array, ignoring `NaN` values. - [`dnanminabs( N, x, strideX )`][@stdlib/stats/base/dnanminabs]: calculate the minimum absolute value of a double-precision floating-point strided array, ignoring `NaN` values. - [`dnanmskmax( N, x, strideX, mask, strideMask )`][@stdlib/stats/base/dnanmskmax]: calculate the maximum value of a double-precision floating-point strided array according to a mask, ignoring `NaN` values. - [`dnanmskmin( N, x, strideX, mask, strideMask )`][@stdlib/stats/base/dnanmskmin]: calculate the minimum value of a double-precision floating-point strided array according to a mask, ignoring `NaN` values. @@ -335,7 +335,7 @@ console.log( objectKeys( ns ) ); [@stdlib/stats/base/dnanmeanwd]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/dnanmeanwd -[@stdlib/stats/base/dnanmin]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/dnanmin +[@stdlib/stats/strided/dnanmin]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/dnanmin [@stdlib/stats/base/dnanminabs]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/dnanminabs diff --git a/lib/node_modules/@stdlib/stats/base/dmskmin/README.md b/lib/node_modules/@stdlib/stats/base/dmskmin/README.md index e13290b56627..75a31de66735 100644 --- a/lib/node_modules/@stdlib/stats/base/dmskmin/README.md +++ b/lib/node_modules/@stdlib/stats/base/dmskmin/README.md @@ -313,7 +313,7 @@ int main( void ) { - [`@stdlib/stats/strided/dmin`][@stdlib/stats/strided/dmin]: calculate the minimum value of a double-precision floating-point strided array. - [`@stdlib/stats/base/dmskmax`][@stdlib/stats/base/dmskmax]: calculate the maximum value of a double-precision floating-point strided array according to a mask. -- [`@stdlib/stats/base/dnanmin`][@stdlib/stats/base/dnanmin]: calculate the minimum value of a double-precision floating-point strided array, ignoring NaN values. +- [`@stdlib/stats/strided/dnanmin`][@stdlib/stats/strided/dnanmin]: calculate the minimum value of a double-precision floating-point strided array, ignoring NaN values. - [`@stdlib/stats/base/dnanmskmin`][@stdlib/stats/base/dnanmskmin]: calculate the minimum value of a double-precision floating-point strided array according to a mask, ignoring NaN values. - [`@stdlib/stats/base/mskmin`][@stdlib/stats/base/mskmin]: calculate the minimum value of a strided array according to a mask. - [`@stdlib/stats/base/smskmin`][@stdlib/stats/base/smskmin]: calculate the minimum value of a single-precision floating-point strided array according to a mask. @@ -338,7 +338,7 @@ int main( void ) { [@stdlib/stats/base/dmskmax]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/dmskmax -[@stdlib/stats/base/dnanmin]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/dnanmin +[@stdlib/stats/strided/dnanmin]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/dnanmin [@stdlib/stats/base/dnanmskmin]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/dnanmskmin diff --git a/lib/node_modules/@stdlib/stats/base/dnanminabs/README.md b/lib/node_modules/@stdlib/stats/base/dnanminabs/README.md index 27a20cdd3cea..4d93e73cf5e9 100644 --- a/lib/node_modules/@stdlib/stats/base/dnanminabs/README.md +++ b/lib/node_modules/@stdlib/stats/base/dnanminabs/README.md @@ -282,7 +282,7 @@ int main( void ) { - [`@stdlib/stats/strided/dminabs`][@stdlib/stats/strided/dminabs]: calculate the minimum absolute value of a double-precision floating-point strided array. - [`@stdlib/stats/strided/dnanmaxabs`][@stdlib/stats/strided/dnanmaxabs]: calculate the maximum absolute value of a double-precision floating-point strided array, ignoring NaN values. -- [`@stdlib/stats/base/dnanmin`][@stdlib/stats/base/dnanmin]: calculate the minimum value of a double-precision floating-point strided array, ignoring NaN values. +- [`@stdlib/stats/strided/dnanmin`][@stdlib/stats/strided/dnanmin]: calculate the minimum value of a double-precision floating-point strided array, ignoring NaN values. - [`@stdlib/stats/base/nanminabs`][@stdlib/stats/base/nanminabs]: calculate the minimum absolute value of a strided array, ignoring NaN values. - [`@stdlib/stats/base/snanminabs`][@stdlib/stats/base/snanminabs]: calculate the minimum absolute value of a single-precision floating-point strided array, ignoring NaN values. @@ -304,7 +304,7 @@ int main( void ) { [@stdlib/stats/strided/dnanmaxabs]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/dnanmaxabs -[@stdlib/stats/base/dnanmin]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/dnanmin +[@stdlib/stats/strided/dnanmin]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/dnanmin [@stdlib/stats/base/nanminabs]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/nanminabs diff --git a/lib/node_modules/@stdlib/stats/base/dnanmskmin/README.md b/lib/node_modules/@stdlib/stats/base/dnanmskmin/README.md index df38a8571a98..b74ba7ea032a 100644 --- a/lib/node_modules/@stdlib/stats/base/dnanmskmin/README.md +++ b/lib/node_modules/@stdlib/stats/base/dnanmskmin/README.md @@ -195,7 +195,7 @@ console.log( v ); ## See Also - [`@stdlib/stats/base/dmskmin`][@stdlib/stats/base/dmskmin]: calculate the minimum value of a double-precision floating-point strided array according to a mask. -- [`@stdlib/stats/base/dnanmin`][@stdlib/stats/base/dnanmin]: calculate the minimum value of a double-precision floating-point strided array, ignoring NaN values. +- [`@stdlib/stats/strided/dnanmin`][@stdlib/stats/strided/dnanmin]: calculate the minimum value of a double-precision floating-point strided array, ignoring NaN values. - [`@stdlib/stats/base/dnanmskmax`][@stdlib/stats/base/dnanmskmax]: calculate the maximum value of a double-precision floating-point strided array according to a mask, ignoring NaN values. - [`@stdlib/stats/base/nanmskmin`][@stdlib/stats/base/nanmskmin]: calculate the minimum value of a strided array according to a mask, ignoring NaN values. - [`@stdlib/stats/base/snanmskmin`][@stdlib/stats/base/snanmskmin]: calculate the minimum value of a single-precision floating-point strided array according to a mask, ignoring NaN values. @@ -218,7 +218,7 @@ console.log( v ); [@stdlib/stats/base/dmskmin]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/dmskmin -[@stdlib/stats/base/dnanmin]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/dnanmin +[@stdlib/stats/strided/dnanmin]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/dnanmin [@stdlib/stats/base/dnanmskmax]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/dnanmskmax diff --git a/lib/node_modules/@stdlib/stats/base/dnanrange/README.md b/lib/node_modules/@stdlib/stats/base/dnanrange/README.md index 36735855a5b8..3fd1a8f413b6 100644 --- a/lib/node_modules/@stdlib/stats/base/dnanrange/README.md +++ b/lib/node_modules/@stdlib/stats/base/dnanrange/README.md @@ -283,7 +283,7 @@ int main( void ) { ## See Also - [`@stdlib/stats/strided/dnanmax`][@stdlib/stats/strided/dnanmax]: calculate the maximum value of a double-precision floating-point strided array, ignoring NaN values. -- [`@stdlib/stats/base/dnanmin`][@stdlib/stats/base/dnanmin]: calculate the minimum value of a double-precision floating-point strided array, ignoring NaN values. +- [`@stdlib/stats/strided/dnanmin`][@stdlib/stats/strided/dnanmin]: calculate the minimum value of a double-precision floating-point strided array, ignoring NaN values. - [`@stdlib/stats/base/drange`][@stdlib/stats/base/drange]: calculate the range of a double-precision floating-point strided array. - [`@stdlib/stats/base/nanrange`][@stdlib/stats/base/nanrange]: calculate the range of a strided array, ignoring NaN values. - [`@stdlib/stats/base/snanrange`][@stdlib/stats/base/snanrange]: calculate the range of a single-precision floating-point strided array, ignoring NaN values. @@ -306,7 +306,7 @@ int main( void ) { [@stdlib/stats/strided/dnanmax]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/dnanmax -[@stdlib/stats/base/dnanmin]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/dnanmin +[@stdlib/stats/strided/dnanmin]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/dnanmin [@stdlib/stats/base/drange]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/drange diff --git a/lib/node_modules/@stdlib/stats/base/nanmin-by/README.md b/lib/node_modules/@stdlib/stats/base/nanmin-by/README.md index 623546fd12d4..168176912ffd 100644 --- a/lib/node_modules/@stdlib/stats/base/nanmin-by/README.md +++ b/lib/node_modules/@stdlib/stats/base/nanmin-by/README.md @@ -48,7 +48,7 @@ var v = nanminBy( x.length, x, 1, accessor ); The function has the following parameters: - **N**: number of indexed elements. -- **x**: input [`Array`][mdn-array], [`typed array`][mdn-typed-array], or an array-like object (excluding strings and functions). +- **x**: input [`Array`][mdn-array], [`typed array`][mdn-typed-array], or an array-like object (excluding strings and functions). - **stride**: index increment. - **clbk**: callback function. - **thisArg**: execution context (_optional_). @@ -163,7 +163,7 @@ var v = nanminBy.ndarray( 3, x, 1, x.length-3, accessor ); - A provided callback function should return a numeric value. - If a provided callback function returns `NaN`, the value is ignored. - If a provided callback function does not return any value (or equivalently, explicitly returns `undefined`), the value is ignored. -- When possible, prefer using [`dnanmin`][@stdlib/stats/base/dnanmin], [`snanmin`][@stdlib/stats/base/snanmin], and/or [`nanmin`][@stdlib/stats/base/nanmin], as, depending on the environment, these interfaces are likely to be significantly more performant. +- When possible, prefer using [`dnanmin`][@stdlib/stats/strided/dnanmin], [`snanmin`][@stdlib/stats/base/snanmin], and/or [`nanmin`][@stdlib/stats/base/nanmin], as, depending on the environment, these interfaces are likely to be significantly more performant. @@ -211,7 +211,7 @@ console.log( v ); ## See Also -- [`@stdlib/stats/base/dnanmin`][@stdlib/stats/base/dnanmin]: calculate the minimum value of a double-precision floating-point strided array, ignoring NaN values. +- [`@stdlib/stats/strided/dnanmin`][@stdlib/stats/strided/dnanmin]: calculate the minimum value of a double-precision floating-point strided array, ignoring NaN values. - [`@stdlib/stats/base/min-by`][@stdlib/stats/base/min-by]: calculate the minimum value of a strided array via a callback function. - [`@stdlib/stats/base/nanmax-by`][@stdlib/stats/base/nanmax-by]: calculate the maximum value of a strided array via a callback function, ignoring NaN values. - [`@stdlib/stats/base/nanmin`][@stdlib/stats/base/nanmin]: calculate the minimum value of a strided array, ignoring NaN values. @@ -231,7 +231,7 @@ console.log( v ); -[@stdlib/stats/base/dnanmin]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/dnanmin +[@stdlib/stats/strided/dnanmin]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/dnanmin [@stdlib/stats/base/min-by]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/min-by diff --git a/lib/node_modules/@stdlib/stats/base/nanmin/README.md b/lib/node_modules/@stdlib/stats/base/nanmin/README.md index 40c8f35285e1..bfed4e9abdab 100644 --- a/lib/node_modules/@stdlib/stats/base/nanmin/README.md +++ b/lib/node_modules/@stdlib/stats/base/nanmin/README.md @@ -120,7 +120,7 @@ var v = nanmin.ndarray( N, x, 2, 1 ); ## Notes - If `N <= 0`, both functions return `NaN`. -- Depending on the environment, the typed versions ([`dnanmin`][@stdlib/stats/base/dnanmin], [`snanmin`][@stdlib/stats/base/snanmin], etc.) are likely to be significantly more performant. +- Depending on the environment, the typed versions ([`dnanmin`][@stdlib/stats/strided/dnanmin], [`snanmin`][@stdlib/stats/base/snanmin], etc.) are likely to be significantly more performant. @@ -167,7 +167,7 @@ console.log( v ); ## See Also -- [`@stdlib/stats/base/dnanmin`][@stdlib/stats/base/dnanmin]: calculate the minimum value of a double-precision floating-point strided array, ignoring NaN values. +- [`@stdlib/stats/strided/dnanmin`][@stdlib/stats/strided/dnanmin]: calculate the minimum value of a double-precision floating-point strided array, ignoring NaN values. - [`@stdlib/stats/base/min`][@stdlib/stats/base/min]: calculate the minimum value of a strided array. - [`@stdlib/stats/base/nanmax`][@stdlib/stats/base/nanmax]: calculate the maximum value of a strided array, ignoring NaN values. - [`@stdlib/stats/base/snanmin`][@stdlib/stats/base/snanmin]: calculate the minimum value of a single-precision floating-point strided array, ignoring NaN values. @@ -186,7 +186,7 @@ console.log( v ); -[@stdlib/stats/base/dnanmin]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/dnanmin +[@stdlib/stats/strided/dnanmin]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/dnanmin [@stdlib/stats/base/min]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/min diff --git a/lib/node_modules/@stdlib/stats/base/snanmin/README.md b/lib/node_modules/@stdlib/stats/base/snanmin/README.md index 145725c11bb4..20e0c1393c4f 100644 --- a/lib/node_modules/@stdlib/stats/base/snanmin/README.md +++ b/lib/node_modules/@stdlib/stats/base/snanmin/README.md @@ -270,7 +270,7 @@ int main( void ) { ## See Also -- [`@stdlib/stats/base/dnanmin`][@stdlib/stats/base/dnanmin]: calculate the minimum value of a double-precision floating-point strided array, ignoring NaN values. +- [`@stdlib/stats/strided/dnanmin`][@stdlib/stats/strided/dnanmin]: calculate the minimum value of a double-precision floating-point strided array, ignoring NaN values. - [`@stdlib/stats/base/nanmin`][@stdlib/stats/base/nanmin]: calculate the minimum value of a strided array, ignoring NaN values. - [`@stdlib/stats/base/smin`][@stdlib/stats/base/smin]: calculate the minimum value of a single-precision floating-point strided array. - [`@stdlib/stats/base/snanmax`][@stdlib/stats/base/snanmax]: calculate the maximum value of a single-precision floating-point strided array, ignoring NaN values. @@ -289,7 +289,7 @@ int main( void ) { -[@stdlib/stats/base/dnanmin]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/dnanmin +[@stdlib/stats/strided/dnanmin]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/dnanmin [@stdlib/stats/base/nanmin]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/nanmin diff --git a/lib/node_modules/@stdlib/stats/strided/dmin/README.md b/lib/node_modules/@stdlib/stats/strided/dmin/README.md index 67cbd2a3b6e8..33cf5d89ff0e 100644 --- a/lib/node_modules/@stdlib/stats/strided/dmin/README.md +++ b/lib/node_modules/@stdlib/stats/strided/dmin/README.md @@ -271,7 +271,7 @@ int main( void ) { ## See Also - [`@stdlib/stats/strided/dmax`][@stdlib/stats/strided/dmax]: calculate the maximum value of a double-precision floating-point strided array. -- [`@stdlib/stats/base/dnanmin`][@stdlib/stats/base/dnanmin]: calculate the minimum value of a double-precision floating-point strided array, ignoring NaN values. +- [`@stdlib/stats/strided/dnanmin`][@stdlib/stats/strided/dnanmin]: calculate the minimum value of a double-precision floating-point strided array, ignoring NaN values. - [`@stdlib/stats/base/min`][@stdlib/stats/base/min]: calculate the minimum value of a strided array. - [`@stdlib/stats/base/smin`][@stdlib/stats/base/smin]: calculate the minimum value of a single-precision floating-point strided array. @@ -291,7 +291,7 @@ int main( void ) { [@stdlib/stats/strided/dmax]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/dmax -[@stdlib/stats/base/dnanmin]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/dnanmin +[@stdlib/stats/strided/dnanmin]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/dnanmin [@stdlib/stats/base/min]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/min diff --git a/lib/node_modules/@stdlib/stats/strided/dnanmax/README.md b/lib/node_modules/@stdlib/stats/strided/dnanmax/README.md index e6fa734339dd..d65a90510838 100644 --- a/lib/node_modules/@stdlib/stats/strided/dnanmax/README.md +++ b/lib/node_modules/@stdlib/stats/strided/dnanmax/README.md @@ -279,7 +279,7 @@ int main( void ) { ## See Also - [`@stdlib/stats/strided/dmax`][@stdlib/stats/strided/dmax]: calculate the maximum value of a double-precision floating-point strided array. -- [`@stdlib/stats/base/dnanmin`][@stdlib/stats/base/dnanmin]: calculate the minimum value of a double-precision floating-point strided array, ignoring NaN values. +- [`@stdlib/stats/strided/dnanmin`][@stdlib/stats/strided/dnanmin]: calculate the minimum value of a double-precision floating-point strided array, ignoring NaN values. - [`@stdlib/stats/base/nanmax`][@stdlib/stats/base/nanmax]: calculate the maximum value of a strided array, ignoring NaN values. - [`@stdlib/stats/base/snanmax`][@stdlib/stats/base/snanmax]: calculate the maximum value of a single-precision floating-point strided array, ignoring NaN values. @@ -299,7 +299,7 @@ int main( void ) { [@stdlib/stats/strided/dmax]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/dmax -[@stdlib/stats/base/dnanmin]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/dnanmin +[@stdlib/stats/strided/dnanmin]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/dnanmin [@stdlib/stats/base/nanmax]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/nanmax From 96cb223020dbda1853749808c07294b7d8b4adf2 Mon Sep 17 00:00:00 2001 From: aayush0325 Date: Sun, 23 Mar 2025 01:37:13 +0530 Subject: [PATCH 4/4] remove: remove `stats/base/dnanmin` This commit removes `@stdlib/stats/base/dnanmin` in favor of `@stdlib/stats/strided/dnanmin`. BREAKING CHANGE: remove `stats/base/dnanmin` To migrate, users should update their require/import paths to use `@stdlib/stats/strided/dnanmin`, which provides the same API and implementation. Ref: https://github.com/stdlib-js/stdlib/issues/4797 --- 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: na - 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: na - task: lint_typescript_tests status: na - task: lint_license_headers status: passed --- --- .../@stdlib/stats/base/dnanmin/README.md | 315 ------------------ .../stats/base/dnanmin/benchmark/benchmark.js | 104 ------ .../dnanmin/benchmark/benchmark.native.js | 113 ------- .../dnanmin/benchmark/benchmark.ndarray.js | 104 ------ .../benchmark/benchmark.ndarray.native.js | 113 ------- .../stats/base/dnanmin/benchmark/c/Makefile | 146 -------- .../dnanmin/benchmark/c/benchmark.length.c | 205 ------------ .../@stdlib/stats/base/dnanmin/binding.gyp | 170 ---------- .../@stdlib/stats/base/dnanmin/docs/repl.txt | 90 ----- .../stats/base/dnanmin/docs/types/index.d.ts | 92 ----- .../stats/base/dnanmin/docs/types/test.ts | 157 --------- .../stats/base/dnanmin/examples/c/Makefile | 146 -------- .../stats/base/dnanmin/examples/c/example.c | 38 --- .../stats/base/dnanmin/examples/index.js | 40 --- .../@stdlib/stats/base/dnanmin/include.gypi | 53 --- .../include/stdlib/stats/base/dnanmin.h | 45 --- .../@stdlib/stats/base/dnanmin/lib/dnanmin.js | 52 --- .../stats/base/dnanmin/lib/dnanmin.native.js | 51 --- 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Calculate the minimum value of a double-precision floating-point strided array, ignoring `NaN` values. - -
- -
- - - -
- -## Usage - -```javascript -var dnanmin = require( '@stdlib/stats/base/dnanmin' ); -``` - -#### dnanmin( N, x, strideX ) - -Computes the minimum value of a double-precision floating-point strided array `x`, ignoring `NaN` values. - -```javascript -var Float64Array = require( '@stdlib/array/float64' ); - -var x = new Float64Array( [ 1.0, -2.0, NaN, 2.0 ] ); - -var v = dnanmin( x.length, x, 1 ); -// returns -2.0 -``` - -The function has the following parameters: - -- **N**: number of indexed elements. -- **x**: input [`Float64Array`][@stdlib/array/float64]. -- **strideX**: index increment for `x`. - -The `N` and stride parameters determine which elements in strided array are accessed at runtime. For example, to compute the minimum value of every other element in `x`, - -```javascript -var Float64Array = require( '@stdlib/array/float64' ); - -var x = new Float64Array( [ 1.0, 2.0, -7.0, -2.0, 4.0, 3.0, NaN, NaN ] ); - -var v = dnanmin( 4, x, 2 ); -// returns -7.0 -``` - -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( [ 2.0, 1.0, -2.0, -2.0, 3.0, 4.0, NaN, NaN ] ); -var x1 = new Float64Array( x0.buffer, x0.BYTES_PER_ELEMENT*1 ); // start at 2nd element - -var v = dnanmin( 4, x1, 2 ); -// returns -2.0 -``` - -#### dnanmin.ndarray( N, x, strideX, offsetX ) - -Computes the minimum value of a double-precision floating-point strided array, ignoring `NaN` values and using alternative indexing semantics. - -```javascript -var Float64Array = require( '@stdlib/array/float64' ); - -var x = new Float64Array( [ 1.0, -2.0, NaN, 2.0 ] ); - -var v = dnanmin.ndarray( x.length, x, 1, 0 ); -// returns -2.0 -``` - -The function has the following additional parameters: - -- **offsetX**: 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 minimum value for every other element in `x` starting from the second element - -```javascript -var Float64Array = require( '@stdlib/array/float64' ); - -var x = new Float64Array( [ 2.0, 1.0, -2.0, -2.0, 3.0, 4.0, NaN, NaN ] ); - -var v = dnanmin.ndarray( 4, x, 2, 1 ); -// returns -2.0 -``` - -
- - - -
- -## Notes - -- If `N <= 0`, both functions return `NaN`. - -
- - - -
- -## Examples - - - -```javascript -var randu = require( '@stdlib/random/base/randu' ); -var round = require( '@stdlib/math/base/special/round' ); -var Float64Array = require( '@stdlib/array/float64' ); -var dnanmin = require( '@stdlib/stats/base/dnanmin' ); - -var x; -var i; - -x = new Float64Array( 10 ); -for ( i = 0; i < x.length; i++ ) { - if ( randu() < 0.2 ) { - x[ i ] = NaN; - } else { - x[ i ] = round( (randu()*100.0) - 50.0 ); - } -} -console.log( x ); - -var v = dnanmin( x.length, x, 1 ); -console.log( v ); -``` - -
- - - - - -* * * - -
- -## C APIs - - - -
- -
- - - - - -
- -### Usage - -```c -#include "stdlib/stats/base/dnanmin.h" -``` - -#### stdlib_strided_dnanmin( N, \*X, strideX ) - -Calculate the minimum value of a double-precision floating-point strided array, ignoring `NaN` values. - -```c -const double x[] = { 1.0, -2.0, 0.0 / 0.0, -4.0 }; - -double v = stdlib_strided_dnanmin( 4, 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_dnanmin( const CBLAS_INT N, const double *X, const CBLAS_INT strideX ); -``` - -#### stdlib_strided_dnanmin_ndarray( N, \*X, strideX, offsetX ) - -Computes the minimum value of a double-precision floating-point strided array, ignoring `NaN` values and using alternative indexing semantics. - -```c -const double x[] = { 1.0, -2.0, 0.0 / 0.0, -4.0 }; - -double v = stdlib_strided_dnanmin_ndarray( 4, 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_dnanmin_ndarray( const CBLAS_INT N, const double *X, const CBLAS_INT strideX, const CBLAS_INT offsetX ); -``` - -
- - - - - -
- -
- - - - - -
- -### Examples - -```c -#include "stdlib/stats/base/dnanmin.h" -#include -#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, 0.0/0.0, 0.0/0.0 }; - - // Specify the number of elements: - const int N = 5; - - // Specify the stride length: - const int strideX = 2; - - // Compute the minimum value: - double v = stdlib_strided_dnanmin( N, x, strideX ); - - // Print the result: - printf( "min: %lf\n", v ); -} -``` - -
- - - -
- - - - - -
- -* * * - -## See Also - -- [`@stdlib/stats/strided/dmin`][@stdlib/stats/strided/dmin]: calculate the minimum value of a double-precision floating-point strided array. -- [`@stdlib/stats/strided/dnanmax`][@stdlib/stats/strided/dnanmax]: calculate the maximum value of a double-precision floating-point strided array, ignoring NaN values. -- [`@stdlib/stats/base/nanmin`][@stdlib/stats/base/nanmin]: calculate the minimum value of a strided array, ignoring NaN values. -- [`@stdlib/stats/base/snanmin`][@stdlib/stats/base/snanmin]: calculate the minimum value of a single-precision floating-point strided array, ignoring NaN values. - -
- - - - - -
- -[@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 - - - -[@stdlib/stats/strided/dmin]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/dmin - -[@stdlib/stats/strided/dnanmax]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/dnanmax - -[@stdlib/stats/base/nanmin]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/nanmin - -[@stdlib/stats/base/snanmin]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/snanmin - - - -
- - diff --git a/lib/node_modules/@stdlib/stats/base/dnanmin/benchmark/benchmark.js b/lib/node_modules/@stdlib/stats/base/dnanmin/benchmark/benchmark.js deleted file mode 100644 index 7078bb225f25..000000000000 --- a/lib/node_modules/@stdlib/stats/base/dnanmin/benchmark/benchmark.js +++ /dev/null @@ -1,104 +0,0 @@ -/** -* @license Apache-2.0 -* -* Copyright (c) 2020 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 pow = require( '@stdlib/math/base/special/pow' ); -var uniform = require( '@stdlib/random/base/uniform' ); -var bernoulli = require( '@stdlib/random/base/bernoulli' ); -var filledarrayBy = require( '@stdlib/array/filled-by' ); -var pkg = require( './../package.json' ).name; -var dnanmin = require( './../lib/dnanmin.js' ); - - -// FUNCTIONS // - -/** -* Returns a random number. -* -* @private -* @returns {number} random number or `NaN` -*/ -function rand() { - if ( bernoulli( 0.8 ) < 1 ) { - return NaN; - } - return uniform( -10.0, 10.0 ); -} - -/** -* Creates a benchmark function. -* -* @private -* @param {PositiveInteger} len - array length -* @returns {Function} benchmark function -*/ -function createBenchmark( len ) { - var x = filledarrayBy( len, 'float64', rand ); - return benchmark; - - function benchmark( b ) { - var v; - var i; - - b.tic(); - for ( i = 0; i < b.iterations; i++ ) { - v = dnanmin( 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( pkg+':len='+len, f ); - } -} - -main(); diff --git a/lib/node_modules/@stdlib/stats/base/dnanmin/benchmark/benchmark.native.js b/lib/node_modules/@stdlib/stats/base/dnanmin/benchmark/benchmark.native.js deleted file mode 100644 index cf9fb1900c34..000000000000 --- a/lib/node_modules/@stdlib/stats/base/dnanmin/benchmark/benchmark.native.js +++ /dev/null @@ -1,113 +0,0 @@ -/** -* @license Apache-2.0 -* -* Copyright (c) 2020 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 pow = require( '@stdlib/math/base/special/pow' ); -var uniform = require( '@stdlib/random/base/uniform' ); -var bernoulli = require( '@stdlib/random/base/bernoulli' ); -var filledarrayBy = require( '@stdlib/array/filled-by' ); -var tryRequire = require( '@stdlib/utils/try-require' ); -var pkg = require( './../package.json' ).name; - - -// VARIABLES // - -var dnanmin = tryRequire( resolve( __dirname, './../lib/dnanmin.native.js' ) ); -var opts = { - 'skip': ( dnanmin instanceof Error ) -}; - - -// FUNCTIONS // - -/** -* Returns a random number. -* -* @private -* @returns {number} random number or `NaN` -*/ -function rand() { - if ( bernoulli( 0.8 ) < 1 ) { - return NaN; - } - return uniform( -10.0, 10.0 ); -} - -/** -* Creates a benchmark function. -* -* @private -* @param {PositiveInteger} len - array length -* @returns {Function} benchmark function -*/ -function createBenchmark( len ) { - var x = filledarrayBy( len, 'float64', rand ); - return benchmark; - - function benchmark( b ) { - var v; - var i; - - b.tic(); - for ( i = 0; i < b.iterations; i++ ) { - v = dnanmin( 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( pkg+'::native:len='+len, opts, f ); - } -} - -main(); diff --git a/lib/node_modules/@stdlib/stats/base/dnanmin/benchmark/benchmark.ndarray.js b/lib/node_modules/@stdlib/stats/base/dnanmin/benchmark/benchmark.ndarray.js deleted file mode 100644 index fa858de321c3..000000000000 --- a/lib/node_modules/@stdlib/stats/base/dnanmin/benchmark/benchmark.ndarray.js +++ /dev/null @@ -1,104 +0,0 @@ -/** -* @license Apache-2.0 -* -* Copyright (c) 2020 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 pow = require( '@stdlib/math/base/special/pow' ); -var uniform = require( '@stdlib/random/base/uniform' ); -var bernoulli = require( '@stdlib/random/base/bernoulli' ); -var filledarrayBy = require( '@stdlib/array/filled-by' ); -var pkg = require( './../package.json' ).name; -var dnanmin = require( './../lib/ndarray.js' ); - - -// FUNCTIONS // - -/** -* Returns a random number. -* -* @private -* @returns {number} random number or `NaN` -*/ -function rand() { - if ( bernoulli( 0.8 ) < 1 ) { - return NaN; - } - return uniform( -10.0, 10.0 ); -} - -/** -* Creates a benchmark function. -* -* @private -* @param {PositiveInteger} len - array length -* @returns {Function} benchmark function -*/ -function createBenchmark( len ) { - var x = filledarrayBy( len, 'float64', rand ); - return benchmark; - - function benchmark( b ) { - var v; - var i; - - b.tic(); - for ( i = 0; i < b.iterations; i++ ) { - v = dnanmin( 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( pkg+':ndarray:len='+len, f ); - } -} - -main(); diff --git a/lib/node_modules/@stdlib/stats/base/dnanmin/benchmark/benchmark.ndarray.native.js b/lib/node_modules/@stdlib/stats/base/dnanmin/benchmark/benchmark.ndarray.native.js deleted file mode 100644 index 96ceb1894986..000000000000 --- a/lib/node_modules/@stdlib/stats/base/dnanmin/benchmark/benchmark.ndarray.native.js +++ /dev/null @@ -1,113 +0,0 @@ -/** -* @license Apache-2.0 -* -* Copyright (c) 2020 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 pow = require( '@stdlib/math/base/special/pow' ); -var uniform = require( '@stdlib/random/base/uniform' ); -var bernoulli = require( '@stdlib/random/base/bernoulli' ); -var filledarrayBy = require( '@stdlib/array/filled-by' ); -var tryRequire = require( '@stdlib/utils/try-require' ); -var pkg = require( './../package.json' ).name; - - -// VARIABLES // - -var dnanmin = tryRequire( resolve( __dirname, './../lib/ndarray.native.js' ) ); -var opts = { - 'skip': ( dnanmin instanceof Error ) -}; - - -// FUNCTIONS // - -/** -* Returns a random number. -* -* @private -* @returns {number} random number or `NaN` -*/ -function rand() { - if ( bernoulli( 0.8 ) < 1 ) { - return NaN; - } - return uniform( -10.0, 10.0 ); -} - -/** -* Creates a benchmark function. -* -* @private -* @param {PositiveInteger} len - array length -* @returns {Function} benchmark function -*/ -function createBenchmark( len ) { - var x = filledarrayBy( len, 'float64', rand ); - return benchmark; - - function benchmark( b ) { - var v; - var i; - - b.tic(); - for ( i = 0; i < b.iterations; i++ ) { - v = dnanmin( 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( pkg+'::native:ndarray:len='+len, opts, f ); - } -} - -main(); diff --git a/lib/node_modules/@stdlib/stats/base/dnanmin/benchmark/c/Makefile b/lib/node_modules/@stdlib/stats/base/dnanmin/benchmark/c/Makefile deleted file mode 100644 index 7280962b4c4d..000000000000 --- a/lib/node_modules/@stdlib/stats/base/dnanmin/benchmark/c/Makefile +++ /dev/null @@ -1,146 +0,0 @@ -#/ -# @license Apache-2.0 -# -# Copyright (c) 2020 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/base/dnanmin/benchmark/c/benchmark.length.c b/lib/node_modules/@stdlib/stats/base/dnanmin/benchmark/c/benchmark.length.c deleted file mode 100644 index b193db61808a..000000000000 --- a/lib/node_modules/@stdlib/stats/base/dnanmin/benchmark/c/benchmark.length.c +++ /dev/null @@ -1,205 +0,0 @@ -/** -* @license Apache-2.0 -* -* Copyright (c) 2020 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/base/dnanmin.h" -#include -#include -#include -#include -#include - -#define NAME "dnanmin" -#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 len array length -* @return elapsed time in seconds -*/ -static double benchmark1( int iterations, int len ) { - double elapsed; - double x[ len ]; - double v; - double t; - int i; - - for ( i = 0; i < len; i++ ) { - if ( rand_double() < 0.2 ) { - x[ i ] = 0.0 / 0.0; // NaN - } else { - x[ i ] = ( rand_double() * 20000.0 ) - 10000.0; - } - } - v = 0.0; - t = tic(); - for ( i = 0; i < iterations; i++ ) { - // cppcheck-suppress uninitvar - v = stdlib_strided_dnanmin( 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" ); - } - 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[ len ]; - double v; - double t; - int i; - - for ( i = 0; i < len; i++ ) { - if ( rand_double() < 0.2 ) { - x[ i ] = 0.0 / 0.0; // NaN - } else { - x[ i ] = ( rand_double() * 20000.0 ) - 10000.0; - } - } - v = 0.0; - t = tic(); - for ( i = 0; i < iterations; i++ ) { - // cppcheck-suppress uninitvar - v = stdlib_strided_dnanmin_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" ); - } - 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/base/dnanmin/binding.gyp b/lib/node_modules/@stdlib/stats/base/dnanmin/binding.gyp deleted file mode 100644 index 7d0005b2e390..000000000000 --- a/lib/node_modules/@stdlib/stats/base/dnanmin/binding.gyp +++ /dev/null @@ -1,170 +0,0 @@ -# @license Apache-2.0 -# -# Copyright (c) 2020 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/base/dnanmin/docs/repl.txt b/lib/node_modules/@stdlib/stats/base/dnanmin/docs/repl.txt deleted file mode 100644 index 853168839a15..000000000000 --- a/lib/node_modules/@stdlib/stats/base/dnanmin/docs/repl.txt +++ /dev/null @@ -1,90 +0,0 @@ - -{{alias}}( N, x, strideX ) - Computes the minimum value of a double-precision floating-point strided - array, ignoring `NaN` values. - - 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 - Input array. - - strideX: integer - Stride length. - - Returns - ------- - out: number - Minimum value. - - Examples - -------- - // Standard Usage: - > var x = new {{alias:@stdlib/array/float64}}( [ 1.0, -2.0, NaN, 2.0 ] ); - > {{alias}}( x.length, x, 1 ) - -2.0 - - // Using `N` and stride parameters: - > x = new {{alias:@stdlib/array/float64}}( [ -2.0, 1.0, 1.0, -5.0, 2.0, -1.0, NaN ] ); - > {{alias}}( 3, x, 2 ) - -2.0 - - // Using view offsets: - > var x0 = new {{alias:@stdlib/array/float64}}( [ 1.0, -2.0, 3.0, 2.0, 5.0, -1.0, NaN ] ); - > var x1 = new {{alias:@stdlib/array/float64}}( x0.buffer, x0.BYTES_PER_ELEMENT*1 ); - > {{alias}}( 3, x1, 2 ) - -2.0 - - -{{alias}}.ndarray( N, x, strideX, offsetX ) - Computes the minimum value of a double-precision floating-point strided - array, ignoring `NaN` values and 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 - Input array. - - strideX: integer - Stride length. - - offsetX: integer - Starting index. - - Returns - ------- - out: number - Minimum value. - - Examples - -------- - // Standard Usage: - > var x = new {{alias:@stdlib/array/float64}}( [ 1.0, -2.0, 2.0, NaN ] ); - > {{alias}}.ndarray( x.length, x, 1, 0 ) - -2.0 - - // Using offset parameter: - > var x = new {{alias:@stdlib/array/float64}}( [ 1.0, -2.0, 3.0, 2.0, 5.0, -1.0, NaN ] ); - > {{alias}}.ndarray( 3, x, 2, 1 ) - -2.0 - - See Also - -------- - diff --git a/lib/node_modules/@stdlib/stats/base/dnanmin/docs/types/index.d.ts b/lib/node_modules/@stdlib/stats/base/dnanmin/docs/types/index.d.ts deleted file mode 100644 index 0c5c78168a77..000000000000 --- a/lib/node_modules/@stdlib/stats/base/dnanmin/docs/types/index.d.ts +++ /dev/null @@ -1,92 +0,0 @@ -/* -* @license Apache-2.0 -* -* Copyright (c) 2020 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 `dnanmin`. -*/ -interface Routine { - /** - * Computes the minimum value of a double-precision floating-point strided array, ignoring `NaN` values. - * - * @param N - number of indexed elements - * @param x - input array - * @param strideX - stride length - * @returns minimum value - * - * @example - * var Float64Array = require( '@stdlib/array/float64' ); - * - * var x = new Float64Array( [ 1.0, -2.0, NaN, 2.0 ] ); - * - * var v = dnanmin( x.length, x, 1 ); - * // returns -2.0 - */ - ( N: number, x: Float64Array, strideX: number ): number; - - /** - * Computes the minimum value of a double-precision floating-point strided array, ignoring `NaN` values and using alternative indexing semantics. - * - * @param N - number of indexed elements - * @param x - input array - * @param strideX - stride length - * @param offsetX - starting index - * @returns minimum value - * - * @example - * var Float64Array = require( '@stdlib/array/float64' ); - * - * var x = new Float64Array( [ 1.0, -2.0, NaN, 2.0 ] ); - * - * var v = dnanmin.ndarray( x.length, x, 1, 0 ); - * // returns -2.0 - */ - ndarray( N: number, x: Float64Array, strideX: number, offsetX: number ): number; -} - -/** -* Computes the minimum value of a double-precision floating-point strided array, ignoring `NaN` values. -* -* @param N - number of indexed elements -* @param x - input array -* @param strideX - stride length -* @returns minimum value -* -* @example -* var Float64Array = require( '@stdlib/array/float64' ); -* -* var x = new Float64Array( [ 1.0, -2.0, NaN, 2.0 ] ); -* -* var v = dnanmin( x.length, x, 1 ); -* // returns -2.0 -* -* @example -* var Float64Array = require( '@stdlib/array/float64' ); -* -* var x = new Float64Array( [ 1.0, -2.0, NaN, 2.0 ] ); -* -* var v = dnanmin.ndarray( x.length, x, 1, 0 ); -* // returns -2.0 -*/ -declare var dnanmin: Routine; - - -// EXPORTS // - -export = dnanmin; diff --git a/lib/node_modules/@stdlib/stats/base/dnanmin/docs/types/test.ts b/lib/node_modules/@stdlib/stats/base/dnanmin/docs/types/test.ts deleted file mode 100644 index 8088f002ccb2..000000000000 --- a/lib/node_modules/@stdlib/stats/base/dnanmin/docs/types/test.ts +++ /dev/null @@ -1,157 +0,0 @@ -/* -* @license Apache-2.0 -* -* Copyright (c) 2020 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 dnanmin = require( './index' ); - - -// TESTS // - -// The function returns a number... -{ - const x = new Float64Array( 10 ); - - dnanmin( 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 ); - - dnanmin( '10', x, 1 ); // $ExpectError - dnanmin( true, x, 1 ); // $ExpectError - dnanmin( false, x, 1 ); // $ExpectError - dnanmin( null, x, 1 ); // $ExpectError - dnanmin( undefined, x, 1 ); // $ExpectError - dnanmin( [], x, 1 ); // $ExpectError - dnanmin( {}, x, 1 ); // $ExpectError - dnanmin( ( 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 ); - - dnanmin( x.length, 10, 1 ); // $ExpectError - dnanmin( x.length, '10', 1 ); // $ExpectError - dnanmin( x.length, true, 1 ); // $ExpectError - dnanmin( x.length, false, 1 ); // $ExpectError - dnanmin( x.length, null, 1 ); // $ExpectError - dnanmin( x.length, undefined, 1 ); // $ExpectError - dnanmin( x.length, [], 1 ); // $ExpectError - dnanmin( x.length, {}, 1 ); // $ExpectError - dnanmin( 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 ); - - dnanmin( x.length, x, '10' ); // $ExpectError - dnanmin( x.length, x, true ); // $ExpectError - dnanmin( x.length, x, false ); // $ExpectError - dnanmin( x.length, x, null ); // $ExpectError - dnanmin( x.length, x, undefined ); // $ExpectError - dnanmin( x.length, x, [] ); // $ExpectError - dnanmin( x.length, x, {} ); // $ExpectError - dnanmin( 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 ); - - dnanmin(); // $ExpectError - dnanmin( x.length ); // $ExpectError - dnanmin( x.length, x ); // $ExpectError - dnanmin( x.length, x, 1, 10 ); // $ExpectError -} - -// Attached to main export is an `ndarray` method which returns a number... -{ - const x = new Float64Array( 10 ); - - dnanmin.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 ); - - dnanmin.ndarray( '10', x, 1, 0 ); // $ExpectError - dnanmin.ndarray( true, x, 1, 0 ); // $ExpectError - dnanmin.ndarray( false, x, 1, 0 ); // $ExpectError - dnanmin.ndarray( null, x, 1, 0 ); // $ExpectError - dnanmin.ndarray( undefined, x, 1, 0 ); // $ExpectError - dnanmin.ndarray( [], x, 1, 0 ); // $ExpectError - dnanmin.ndarray( {}, x, 1, 0 ); // $ExpectError - dnanmin.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 ); - - dnanmin.ndarray( x.length, 10, 1, 0 ); // $ExpectError - dnanmin.ndarray( x.length, '10', 1, 0 ); // $ExpectError - dnanmin.ndarray( x.length, true, 1, 0 ); // $ExpectError - dnanmin.ndarray( x.length, false, 1, 0 ); // $ExpectError - dnanmin.ndarray( x.length, null, 1, 0 ); // $ExpectError - dnanmin.ndarray( x.length, undefined, 1, 0 ); // $ExpectError - dnanmin.ndarray( x.length, [], 1, 0 ); // $ExpectError - dnanmin.ndarray( x.length, {}, 1, 0 ); // $ExpectError - dnanmin.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 ); - - dnanmin.ndarray( x.length, x, '10', 0 ); // $ExpectError - dnanmin.ndarray( x.length, x, true, 0 ); // $ExpectError - dnanmin.ndarray( x.length, x, false, 0 ); // $ExpectError - dnanmin.ndarray( x.length, x, null, 0 ); // $ExpectError - dnanmin.ndarray( x.length, x, undefined, 0 ); // $ExpectError - dnanmin.ndarray( x.length, x, [], 0 ); // $ExpectError - dnanmin.ndarray( x.length, x, {}, 0 ); // $ExpectError - dnanmin.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 ); - - dnanmin.ndarray( x.length, x, 1, '10' ); // $ExpectError - dnanmin.ndarray( x.length, x, 1, true ); // $ExpectError - dnanmin.ndarray( x.length, x, 1, false ); // $ExpectError - dnanmin.ndarray( x.length, x, 1, null ); // $ExpectError - dnanmin.ndarray( x.length, x, 1, undefined ); // $ExpectError - dnanmin.ndarray( x.length, x, 1, [] ); // $ExpectError - dnanmin.ndarray( x.length, x, 1, {} ); // $ExpectError - dnanmin.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 ); - - dnanmin.ndarray(); // $ExpectError - dnanmin.ndarray( x.length ); // $ExpectError - dnanmin.ndarray( x.length, x ); // $ExpectError - dnanmin.ndarray( x.length, x, 1 ); // $ExpectError - dnanmin.ndarray( x.length, x, 1, 0, 10 ); // $ExpectError -} diff --git a/lib/node_modules/@stdlib/stats/base/dnanmin/examples/c/Makefile b/lib/node_modules/@stdlib/stats/base/dnanmin/examples/c/Makefile deleted file mode 100644 index ff5293d3059f..000000000000 --- a/lib/node_modules/@stdlib/stats/base/dnanmin/examples/c/Makefile +++ /dev/null @@ -1,146 +0,0 @@ -#/ -# @license Apache-2.0 -# -# Copyright (c) 2020 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/base/dnanmin/examples/c/example.c b/lib/node_modules/@stdlib/stats/base/dnanmin/examples/c/example.c deleted file mode 100644 index db293d1e1511..000000000000 --- a/lib/node_modules/@stdlib/stats/base/dnanmin/examples/c/example.c +++ /dev/null @@ -1,38 +0,0 @@ -/** -* @license Apache-2.0 -* -* Copyright (c) 2020 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/base/dnanmin.h" -#include -#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, 0.0/0.0, 0.0/0.0 }; - - // Specify the number of elements: - const int N = 5; - - // Specify the stride length: - const int strideX = 2; - - // Compute the minimum value: - double v = stdlib_strided_dnanmin( N, x, strideX ); - - // Print the result: - printf( "min: %lf\n", v ); -} diff --git a/lib/node_modules/@stdlib/stats/base/dnanmin/examples/index.js b/lib/node_modules/@stdlib/stats/base/dnanmin/examples/index.js deleted file mode 100644 index 8133d68a9c86..000000000000 --- a/lib/node_modules/@stdlib/stats/base/dnanmin/examples/index.js +++ /dev/null @@ -1,40 +0,0 @@ -/** -* @license Apache-2.0 -* -* Copyright (c) 2020 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 randu = require( '@stdlib/random/base/randu' ); -var round = require( '@stdlib/math/base/special/round' ); -var Float64Array = require( '@stdlib/array/float64' ); -var dnanmin = require( './../lib' ); - -var x; -var i; - -x = new Float64Array( 10 ); -for ( i = 0; i < x.length; i++ ) { - if ( randu() < 0.2 ) { - x[ i ] = NaN; - } else { - x[ i ] = round( (randu()*100.0) - 50.0 ); - } -} -console.log( x ); - -var v = dnanmin( x.length, x, 1 ); -console.log( v ); diff --git a/lib/node_modules/@stdlib/stats/base/dnanmin/include.gypi b/lib/node_modules/@stdlib/stats/base/dnanmin/include.gypi deleted file mode 100644 index 26476a8c2655..000000000000 --- a/lib/node_modules/@stdlib/stats/base/dnanmin/include.gypi +++ /dev/null @@ -1,53 +0,0 @@ -# @license Apache-2.0 -# -# Copyright (c) 2020 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", - "minimum", - "min", - "range", - "extremes", - "domain", - "extent", - "strided", - "strided array", - "typed", - "array", - "float64", - "double", - "float64array" - ], - "__stdlib__": {} -} diff --git a/lib/node_modules/@stdlib/stats/base/dnanmin/src/Makefile b/lib/node_modules/@stdlib/stats/base/dnanmin/src/Makefile deleted file mode 100644 index dd720a3de8f2..000000000000 --- a/lib/node_modules/@stdlib/stats/base/dnanmin/src/Makefile +++ /dev/null @@ -1,70 +0,0 @@ -#/ -# @license Apache-2.0 -# -# Copyright (c) 2020 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/base/dnanmin/src/addon.c b/lib/node_modules/@stdlib/stats/base/dnanmin/src/addon.c deleted file mode 100644 index 3aae54db887b..000000000000 --- a/lib/node_modules/@stdlib/stats/base/dnanmin/src/addon.c +++ /dev/null @@ -1,61 +0,0 @@ -/** -* @license Apache-2.0 -* -* Copyright (c) 2024 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/base/dnanmin.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_dnanmin)( 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_dnanmin_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/base/dnanmin/src/main.c b/lib/node_modules/@stdlib/stats/base/dnanmin/src/main.c deleted file mode 100644 index 2e327a87e318..000000000000 --- a/lib/node_modules/@stdlib/stats/base/dnanmin/src/main.c +++ /dev/null @@ -1,83 +0,0 @@ -/** -* @license Apache-2.0 -* -* Copyright (c) 2020 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/base/dnanmin.h" -#include "stdlib/math/base/assert/is_nan.h" -#include "stdlib/math/base/assert/is_negative_zero.h" -#include "stdlib/strided/base/stride2offset.h" -#include "stdlib/blas/base/shared.h" - -/** -* Computes the minimum value of a double-precision floating-point strided array, ignoring `NaN` values. -* -* @param N number of indexed elements -* @param X input array -* @param strideX stride length -* @return output value -*/ -double API_SUFFIX(stdlib_strided_dnanmin)( 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_dnanmin_ndarray)( N, X, strideX, ox ); -} - -/** -* Computes the minimum value of a double-precision floating-point strided array, ignoring `NaN` values and using alternative indexing semantics. -* -* @param N number of indexed elements -* @param X input array -* @param strideX stride length -* @param offsetX starting index for X -* @return output value -*/ -double API_SUFFIX(stdlib_strided_dnanmin_ndarray)( const CBLAS_INT N, const double *X, const CBLAS_INT strideX, const CBLAS_INT offsetX ) { - CBLAS_INT ix; - CBLAS_INT i; - double min; - double v; - - if ( N <= 0 ) { - return 0.0 / 0.0; // NaN - } - if ( N == 1 || strideX == 0 ) { - return X[ offsetX ]; - } - ix = offsetX; - for ( i = 0; i < N; i++ ) { - v = X[ ix ]; - if ( v == v ) { - break; - } - ix += strideX; - } - if ( i == N ) { - return 0.0 / 0.0; // NaN - } - min = v; - i += 1; - for (; i < N; i++ ) { - ix += strideX; - v = X[ ix ]; - if ( stdlib_base_is_nan( v ) ) { - continue; - } - if ( v < min || ( v == min && stdlib_base_is_negative_zero( v ) ) ) { - min = v; - } - } - return min; -} diff --git a/lib/node_modules/@stdlib/stats/base/dnanmin/test/test.dnanmin.js b/lib/node_modules/@stdlib/stats/base/dnanmin/test/test.dnanmin.js deleted file mode 100644 index f75427ab1b2a..000000000000 --- a/lib/node_modules/@stdlib/stats/base/dnanmin/test/test.dnanmin.js +++ /dev/null @@ -1,180 +0,0 @@ -/** -* @license Apache-2.0 -* -* Copyright (c) 2020 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 isNegativeZero = require( '@stdlib/math/base/assert/is-negative-zero' ); -var Float64Array = require( '@stdlib/array/float64' ); -var dnanmin = require( './../lib/dnanmin.js' ); - - -// TESTS // - -tape( 'main export is a function', function test( t ) { - t.ok( true, __filename ); - t.strictEqual( typeof dnanmin, 'function', 'main export is a function' ); - t.end(); -}); - -tape( 'the function has an arity of 3', function test( t ) { - t.strictEqual( dnanmin.length, 3, 'has expected arity' ); - t.end(); -}); - -tape( 'the function calculates the minimum value of a strided array', function test( t ) { - var x; - var v; - - x = new Float64Array( [ 1.0, -2.0, -4.0, NaN, 5.0, 0.0, 3.0 ] ); - v = dnanmin( x.length, x, 1 ); - t.strictEqual( v, -4.0, 'returns expected value' ); - - x = new Float64Array( [ -4.0, NaN, -5.0 ] ); - v = dnanmin( x.length, x, 1 ); - t.strictEqual( v, -5.0, 'returns expected value' ); - - x = new Float64Array( [ 0.0, -0.0, NaN, 0.0 ] ); - v = dnanmin( x.length, x, 1 ); - t.strictEqual( isNegativeZero( v ), true, 'returns expected value' ); - - x = new Float64Array( [ NaN ] ); - v = dnanmin( x.length, x, 1 ); - t.strictEqual( isnan( v ), true, 'returns expected value' ); - - x = new Float64Array( [ NaN, NaN ] ); - v = dnanmin( x.length, x, 1 ); - t.strictEqual( isnan( v ), true, 'returns expected value' ); - - 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, -4.0, 5.0, 3.0 ] ); - - v = dnanmin( 0, x, 1 ); - t.strictEqual( isnan( v ), true, 'returns expected value' ); - - v = dnanmin( -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 the first element', function test( t ) { - var x; - var v; - - x = new Float64Array( [ 1.0, -2.0, -4.0, 5.0, 3.0 ] ); - - v = dnanmin( 1, x, 1 ); - t.strictEqual( v, 1.0, 'returns expected value' ); - - t.end(); -}); - -tape( 'the function supports a `stride` parameter', function test( t ) { - var x; - var v; - - x = new Float64Array([ - 1.0, // 0 - 2.0, - 2.0, // 1 - -7.0, - -2.0, // 2 - 3.0, - 4.0, // 3 - 2.0, - NaN, // 4 - NaN - ]); - - v = dnanmin( 5, x, 2 ); - - t.strictEqual( v, -2.0, 'returns expected value' ); - t.end(); -}); - -tape( 'the function supports a negative `stride` parameter', function test( t ) { - var x; - var v; - - x = new Float64Array([ - NaN, // 4 - NaN, - 1.0, // 3 - 2.0, - 2.0, // 2 - -7.0, - -2.0, // 1 - 3.0, - 4.0, // 0 - 2.0 - ]); - - v = dnanmin( 5, x, -2 ); - - t.strictEqual( v, -2.0, 'returns expected value' ); - t.end(); -}); - -tape( 'if provided a `stride` parameter equal to `0`, the function returns the first element', function test( t ) { - var x; - var v; - - x = new Float64Array( [ 1.0, -2.0, -4.0, 5.0, 3.0 ] ); - - v = dnanmin( x.length, x, 0 ); - t.strictEqual( v, 1.0, 'returns expected value' ); - - t.end(); -}); - -tape( 'the function supports view offsets', function test( t ) { - var x0; - var x1; - var v; - - x0 = new Float64Array([ - 2.0, - 1.0, // 0 - 2.0, - -2.0, // 1 - -2.0, - 2.0, // 2 - 3.0, - 4.0, // 3 - 6.0, - NaN, // 4 - NaN - ]); - - x1 = new Float64Array( x0.buffer, x0.BYTES_PER_ELEMENT*1 ); // start at 2nd element - - v = dnanmin( 5, x1, 2 ); - t.strictEqual( v, -2.0, 'returns expected value' ); - - t.end(); -}); diff --git a/lib/node_modules/@stdlib/stats/base/dnanmin/test/test.dnanmin.native.js b/lib/node_modules/@stdlib/stats/base/dnanmin/test/test.dnanmin.native.js deleted file mode 100644 index 3f071f885860..000000000000 --- a/lib/node_modules/@stdlib/stats/base/dnanmin/test/test.dnanmin.native.js +++ /dev/null @@ -1,271 +0,0 @@ -/** -* @license Apache-2.0 -* -* Copyright (c) 2020 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 isNegativeZero = require( '@stdlib/math/base/assert/is-negative-zero' ); -var Float64Array = require( '@stdlib/array/float64' ); -var tryRequire = require( '@stdlib/utils/try-require' ); - - -// VARIABLES // - -var dnanmin = tryRequire( resolve( __dirname, './../lib/dnanmin.native.js' ) ); -var opts = { - 'skip': ( dnanmin instanceof Error ) -}; - - -// TESTS // - -tape( 'main export is a function', opts, function test( t ) { - t.ok( true, __filename ); - t.strictEqual( typeof dnanmin, 'function', 'main export is a function' ); - t.end(); -}); - -tape( 'the function has an arity of 3', opts, function test( t ) { - t.strictEqual( dnanmin.length, 3, 'has expected arity' ); - t.end(); -}); - -tape( 'the functions throws an error if provided a first argument which is not a number', opts, function test( t ) { - var values; - var i; - - values = [ - '5', - true, - false, - null, - void 0, - [], - {}, - function noop() {} - ]; - - for ( i = 0; i < values.length; i++ ) { - t.throws( badValue( values[ i ] ), TypeError, 'throws an error when provided ' + values[ i ] ); - } - t.end(); - - function badValue( value ) { - return function badValue() { - dnanmin( value, new Float64Array( 10 ), 1 ); - }; - } -}); - -tape( 'the functions throws an error if provided a second argument which is not a Float64Array', opts, function test( t ) { - var values; - var i; - - values = [ - '5', - 5, - true, - false, - null, - void 0, - [], - {}, - function noop() {} - ]; - - for ( i = 0; i < values.length; i++ ) { - t.throws( badValue( values[ i ] ), TypeError, 'throws an error when provided ' + values[ i ] ); - } - t.end(); - - function badValue( value ) { - return function badValue() { - dnanmin( 10, value, 1 ); - }; - } -}); - -tape( 'the functions throws an error if provided a third argument which is not a number', opts, function test( t ) { - var values; - var i; - - values = [ - '5', - true, - false, - null, - void 0, - [], - {}, - function noop() {} - ]; - - for ( i = 0; i < values.length; i++ ) { - t.throws( badValue( values[ i ] ), TypeError, 'throws an error when provided ' + values[ i ] ); - } - t.end(); - - function badValue( value ) { - return function badValue() { - dnanmin( 10, new Float64Array( 10 ), value ); - }; - } -}); - -tape( 'the function calculates the minimum value of a strided array', opts, function test( t ) { - var x; - var v; - - x = new Float64Array( [ 1.0, -2.0, -4.0, NaN, 5.0, 0.0, 3.0 ] ); - v = dnanmin( x.length, x, 1 ); - t.strictEqual( v, -4.0, 'returns expected value' ); - - x = new Float64Array( [ -4.0, NaN, -5.0 ] ); - v = dnanmin( x.length, x, 1 ); - t.strictEqual( v, -5.0, 'returns expected value' ); - - x = new Float64Array( [ 0.0, -0.0, NaN, 0.0 ] ); - v = dnanmin( x.length, x, 1 ); - t.strictEqual( isNegativeZero( v ), true, 'returns expected value' ); - - x = new Float64Array( [ NaN ] ); - v = dnanmin( x.length, x, 1 ); - t.strictEqual( isnan( v ), true, 'returns expected value' ); - - x = new Float64Array( [ NaN, NaN ] ); - v = dnanmin( x.length, x, 1 ); - t.strictEqual( isnan( v ), true, 'returns expected value' ); - - 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, -4.0, 5.0, 3.0 ] ); - - v = dnanmin( 0, x, 1 ); - t.strictEqual( isnan( v ), true, 'returns expected value' ); - - v = dnanmin( -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 the first element', opts, function test( t ) { - var x; - var v; - - x = new Float64Array( [ 1.0, -2.0, -4.0, 5.0, 3.0 ] ); - - v = dnanmin( 1, x, 1 ); - t.strictEqual( v, 1.0, 'returns expected value' ); - - t.end(); -}); - -tape( 'the function supports a `stride` parameter', opts, function test( t ) { - var x; - var v; - - x = new Float64Array([ - 1.0, // 0 - 2.0, - 2.0, // 1 - -7.0, - -2.0, // 2 - 3.0, - 4.0, // 3 - 2.0, - NaN, // 4 - NaN - ]); - - v = dnanmin( 5, x, 2 ); - - t.strictEqual( v, -2.0, 'returns expected value' ); - t.end(); -}); - -tape( 'the function supports a negative `stride` parameter', opts, function test( t ) { - var x; - var v; - - x = new Float64Array([ - NaN, // 4 - NaN, - 1.0, // 3 - 2.0, - 2.0, // 2 - -7.0, - -2.0, // 1 - 3.0, - 4.0, // 0 - 2.0 - ]); - - v = dnanmin( 5, x, -2 ); - - t.strictEqual( v, -2.0, 'returns expected value' ); - t.end(); -}); - -tape( 'if provided a `stride` parameter equal to `0`, the function returns the first element', opts, function test( t ) { - var x; - var v; - - x = new Float64Array( [ 1.0, -2.0, -4.0, 5.0, 3.0 ] ); - - v = dnanmin( x.length, x, 0 ); - t.strictEqual( v, 1.0, 'returns expected value' ); - - t.end(); -}); - -tape( 'the function supports view offsets', opts, function test( t ) { - var x0; - var x1; - var v; - - x0 = new Float64Array([ - 2.0, - 1.0, // 0 - 2.0, - -2.0, // 1 - -2.0, - 2.0, // 2 - 3.0, - 4.0, // 3 - 6.0, - NaN, // 4 - NaN - ]); - - x1 = new Float64Array( x0.buffer, x0.BYTES_PER_ELEMENT*1 ); // start at 2nd element - - v = dnanmin( 5, x1, 2 ); - t.strictEqual( v, -2.0, 'returns expected value' ); - - t.end(); -}); diff --git a/lib/node_modules/@stdlib/stats/base/dnanmin/test/test.js b/lib/node_modules/@stdlib/stats/base/dnanmin/test/test.js deleted file mode 100644 index 59cfb0a80ec7..000000000000 --- a/lib/node_modules/@stdlib/stats/base/dnanmin/test/test.js +++ /dev/null @@ -1,82 +0,0 @@ -/** -* @license Apache-2.0 -* -* Copyright (c) 2020 The Stdlib Authors. -* -* Licensed under the Apache License, Version 2.0 (the "License"); -* you may not use this file except in compliance with the License. -* You may obtain a copy of the License at -* -* http://www.apache.org/licenses/LICENSE-2.0 -* -* Unless required by applicable law or agreed to in writing, software -* distributed under the License is distributed on an "AS IS" BASIS, -* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -* See the License for the specific language governing permissions and -* limitations under the License. -*/ - -'use strict'; - -// MODULES // - -var tape = require( 'tape' ); -var proxyquire = require( 'proxyquire' ); -var IS_BROWSER = require( '@stdlib/assert/is-browser' ); -var dnanmin = require( './../lib' ); - - -// VARIABLES // - -var opts = { - 'skip': IS_BROWSER -}; - - -// TESTS // - -tape( 'main export is a function', function test( t ) { - t.ok( true, __filename ); - t.strictEqual( typeof dnanmin, '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 dnanmin.ndarray, 'function', 'method is a function' ); - t.end(); -}); - -tape( 'if a native implementation is available, the main export is the native implementation', opts, function test( t ) { - var dnanmin = proxyquire( './../lib', { - '@stdlib/utils/try-require': tryRequire - }); - - t.strictEqual( dnanmin, mock, 'returns expected value' ); - t.end(); - - function tryRequire() { - return mock; - } - - function mock() { - // Mock... - } -}); - -tape( 'if a native implementation is not available, the main export is a JavaScript implementation', opts, function test( t ) { - var dnanmin; - var main; - - main = require( './../lib/dnanmin.js' ); - - dnanmin = proxyquire( './../lib', { - '@stdlib/utils/try-require': tryRequire - }); - - t.strictEqual( dnanmin, main, 'returns expected value' ); - t.end(); - - function tryRequire() { - return new Error( 'Cannot find module' ); - } -}); diff --git a/lib/node_modules/@stdlib/stats/base/dnanmin/test/test.ndarray.js b/lib/node_modules/@stdlib/stats/base/dnanmin/test/test.ndarray.js deleted file mode 100644 index c63a66c3254f..000000000000 --- a/lib/node_modules/@stdlib/stats/base/dnanmin/test/test.ndarray.js +++ /dev/null @@ -1,176 +0,0 @@ -/** -* @license Apache-2.0 -* -* Copyright (c) 2020 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 isNegativeZero = require( '@stdlib/math/base/assert/is-negative-zero' ); -var Float64Array = require( '@stdlib/array/float64' ); -var dnanmin = require( './../lib/ndarray.js' ); - - -// TESTS // - -tape( 'main export is a function', function test( t ) { - t.ok( true, __filename ); - t.strictEqual( typeof dnanmin, 'function', 'main export is a function' ); - t.end(); -}); - -tape( 'the function has an arity of 4', function test( t ) { - t.strictEqual( dnanmin.length, 4, 'has expected arity' ); - t.end(); -}); - -tape( 'the function calculates the minimum value of a strided array', function test( t ) { - var x; - var v; - - x = new Float64Array( [ 1.0, -2.0, -4.0, NaN, 5.0, 0.0, 3.0 ] ); - v = dnanmin( x.length, x, 1, 0 ); - t.strictEqual( v, -4.0, 'returns expected value' ); - - x = new Float64Array( [ -4.0, NaN, -5.0 ] ); - v = dnanmin( x.length, x, 1, 0 ); - t.strictEqual( v, -5.0, 'returns expected value' ); - - x = new Float64Array( [ 0.0, -0.0, NaN, 0.0 ] ); - v = dnanmin( x.length, x, 1, 0 ); - t.strictEqual( isNegativeZero( v ), true, 'returns expected value' ); - - x = new Float64Array( [ NaN ] ); - v = dnanmin( x.length, x, 1, 0 ); - t.strictEqual( isnan( v ), true, 'returns expected value' ); - - x = new Float64Array( [ NaN, NaN ] ); - v = dnanmin( x.length, x, 1, 0 ); - t.strictEqual( isnan( v ), true, 'returns expected value' ); - - 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, -4.0, 5.0, 3.0 ] ); - - v = dnanmin( 0, x, 1, 0 ); - t.strictEqual( isnan( v ), true, 'returns expected value' ); - - v = dnanmin( -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 the first indexed element', function test( t ) { - var x; - var v; - - x = new Float64Array( [ 1.0, -2.0, -4.0, 5.0, 3.0 ] ); - - v = dnanmin( 1, x, 1, 0 ); - t.strictEqual( v, 1.0, 'returns expected value' ); - - t.end(); -}); - -tape( 'the function supports a `stride` parameter', function test( t ) { - var x; - var v; - - x = new Float64Array([ - 1.0, // 0 - 2.0, - 2.0, // 1 - -7.0, - -2.0, // 2 - 3.0, - 4.0, // 3 - 2.0, - NaN, // 4 - NaN - ]); - - v = dnanmin( 5, x, 2, 0 ); - - t.strictEqual( v, -2.0, 'returns expected value' ); - t.end(); -}); - -tape( 'the function supports a negative `stride` parameter', function test( t ) { - var x; - var v; - - x = new Float64Array([ - NaN, // 4 - NaN, - 1.0, // 3 - 2.0, - 2.0, // 2 - -7.0, - -2.0, // 1 - 3.0, - 4.0, // 0 - 2.0 - ]); - - v = dnanmin( 5, x, -2, 8 ); - - t.strictEqual( v, -2.0, 'returns expected value' ); - t.end(); -}); - -tape( 'if provided a `stride` parameter equal to `0`, the function returns the first indexed element', function test( t ) { - var x; - var v; - - x = new Float64Array( [ 1.0, -2.0, -4.0, 5.0, 3.0 ] ); - - v = dnanmin( x.length, x, 0, 0 ); - t.strictEqual( v, 1.0, 'returns expected value' ); - - t.end(); -}); - -tape( 'the function supports an `offset` parameter', function test( t ) { - var x; - var v; - - x = new Float64Array([ - 2.0, - 1.0, // 0 - 2.0, - -2.0, // 1 - -2.0, - 2.0, // 2 - 3.0, - 4.0, // 3 - NaN, - NaN // 4 - ]); - - v = dnanmin( 5, x, 2, 1 ); - t.strictEqual( v, -2.0, 'returns expected value' ); - - t.end(); -}); diff --git a/lib/node_modules/@stdlib/stats/base/dnanmin/test/test.ndarray.native.js b/lib/node_modules/@stdlib/stats/base/dnanmin/test/test.ndarray.native.js deleted file mode 100644 index 26cc51fa7d59..000000000000 --- a/lib/node_modules/@stdlib/stats/base/dnanmin/test/test.ndarray.native.js +++ /dev/null @@ -1,185 +0,0 @@ -/** -* @license Apache-2.0 -* -* Copyright (c) 2020 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 isNegativeZero = require( '@stdlib/math/base/assert/is-negative-zero' ); -var Float64Array = require( '@stdlib/array/float64' ); -var tryRequire = require( '@stdlib/utils/try-require' ); - - -// VARIABLES // - -var dnanmin = tryRequire( resolve( __dirname, './../lib/ndarray.native.js' ) ); -var opts = { - 'skip': ( dnanmin instanceof Error ) -}; - - -// TESTS // - -tape( 'main export is a function', opts, function test( t ) { - t.ok( true, __filename ); - t.strictEqual( typeof dnanmin, 'function', 'main export is a function' ); - t.end(); -}); - -tape( 'the function has an arity of 4', opts, function test( t ) { - t.strictEqual( dnanmin.length, 4, 'has expected arity' ); - t.end(); -}); - -tape( 'the function calculates the minimum value of a strided array', opts, function test( t ) { - var x; - var v; - - x = new Float64Array( [ 1.0, -2.0, -4.0, NaN, 5.0, 0.0, 3.0 ] ); - v = dnanmin( x.length, x, 1, 0 ); - t.strictEqual( v, -4.0, 'returns expected value' ); - - x = new Float64Array( [ -4.0, NaN, -5.0 ] ); - v = dnanmin( x.length, x, 1, 0 ); - t.strictEqual( v, -5.0, 'returns expected value' ); - - x = new Float64Array( [ 0.0, -0.0, NaN, 0.0 ] ); - v = dnanmin( x.length, x, 1, 0 ); - t.strictEqual( isNegativeZero( v ), true, 'returns expected value' ); - - x = new Float64Array( [ NaN ] ); - v = dnanmin( x.length, x, 1, 0 ); - t.strictEqual( isnan( v ), true, 'returns expected value' ); - - x = new Float64Array( [ NaN, NaN ] ); - v = dnanmin( x.length, x, 1, 0 ); - t.strictEqual( isnan( v ), true, 'returns expected value' ); - - 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, -4.0, 5.0, 3.0 ] ); - - v = dnanmin( 0, x, 1, 0 ); - t.strictEqual( isnan( v ), true, 'returns expected value' ); - - v = dnanmin( -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 the first indexed element', opts, function test( t ) { - var x; - var v; - - x = new Float64Array( [ 1.0, -2.0, -4.0, 5.0, 3.0 ] ); - - v = dnanmin( 1, x, 1, 0 ); - t.strictEqual( v, 1.0, 'returns expected value' ); - - t.end(); -}); - -tape( 'the function supports a `stride` parameter', opts, function test( t ) { - var x; - var v; - - x = new Float64Array([ - 1.0, // 0 - 2.0, - 2.0, // 1 - -7.0, - -2.0, // 2 - 3.0, - 4.0, // 3 - 2.0, - NaN, // 4 - NaN - ]); - - v = dnanmin( 5, x, 2, 0 ); - - t.strictEqual( v, -2.0, 'returns expected value' ); - t.end(); -}); - -tape( 'the function supports a negative `stride` parameter', opts, function test( t ) { - var x; - var v; - - x = new Float64Array([ - NaN, // 4 - NaN, - 1.0, // 3 - 2.0, - 2.0, // 2 - -7.0, - -2.0, // 1 - 3.0, - 4.0, // 0 - 2.0 - ]); - - v = dnanmin( 5, x, -2, 8 ); - - t.strictEqual( v, -2.0, 'returns expected value' ); - t.end(); -}); - -tape( 'if provided a `stride` parameter equal to `0`, the function returns the first indexed element', opts, function test( t ) { - var x; - var v; - - x = new Float64Array( [ 1.0, -2.0, -4.0, 5.0, 3.0 ] ); - - v = dnanmin( x.length, x, 0, 0 ); - t.strictEqual( v, 1.0, 'returns expected value' ); - - t.end(); -}); - -tape( 'the function supports an `offset` parameter', opts, function test( t ) { - var x; - var v; - - x = new Float64Array([ - 2.0, - 1.0, // 0 - 2.0, - -2.0, // 1 - -2.0, - 2.0, // 2 - 3.0, - 4.0, // 3 - NaN, - NaN // 4 - ]); - - v = dnanmin( 5, x, 2, 1 ); - t.strictEqual( v, -2.0, 'returns expected value' ); - - t.end(); -});