From 31c07a67163280c98021538b5d2333af56825c06 Mon Sep 17 00:00:00 2001 From: aayush0325 Date: Mon, 13 Jan 2025 18:10:16 +0000 Subject: [PATCH] feat: finishing up --- 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: passed - task: lint_javascript_src status: na - 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 - 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/dmeanors/README.md | 146 ++++++++++++++---- .../base/dmeanors/benchmark/benchmark.js | 18 +-- .../dmeanors/benchmark/benchmark.native.js | 14 +- .../dmeanors/benchmark/benchmark.ndarray.js | 18 +-- .../benchmark/benchmark.ndarray.native.js | 14 +- .../dmeanors/benchmark/c/benchmark.length.c | 50 +++++- .../@stdlib/stats/base/dmeanors/docs/repl.txt | 32 ++-- .../stats/base/dmeanors/docs/types/index.d.ts | 12 +- .../stats/base/dmeanors/examples/c/example.c | 9 +- .../stats/base/dmeanors/examples/index.js | 14 +- .../@stdlib/stats/base/dmeanors/src/main.c | 2 +- .../stats/base/dmeanors/test/test.dmeanors.js | 13 +- .../dmeanors/test/test.dmeanors.native.js | 13 +- .../stats/base/dmeanors/test/test.ndarray.js | 13 +- .../base/dmeanors/test/test.ndarray.native.js | 13 +- 15 files changed, 233 insertions(+), 148 deletions(-) diff --git a/lib/node_modules/@stdlib/stats/base/dmeanors/README.md b/lib/node_modules/@stdlib/stats/base/dmeanors/README.md index ef5b9edb6552..93e949222b49 100644 --- a/lib/node_modules/@stdlib/stats/base/dmeanors/README.md +++ b/lib/node_modules/@stdlib/stats/base/dmeanors/README.md @@ -51,7 +51,7 @@ The [arithmetic mean][arithmetic-mean] is defined as var dmeanors = require( '@stdlib/stats/base/dmeanors' ); ``` -#### dmeanors( N, x, stride ) +#### dmeanors( N, x, strideX ) Computes the [arithmetic mean][arithmetic-mean] of a double-precision floating-point strided array `x` using ordinary recursive summation. @@ -59,9 +59,8 @@ Computes the [arithmetic mean][arithmetic-mean] of a double-precision floating-p var Float64Array = require( '@stdlib/array/float64' ); var x = new Float64Array( [ 1.0, -2.0, 2.0 ] ); -var N = x.length; -var v = dmeanors( N, x, 1 ); +var v = dmeanors( x.length, x, 1 ); // returns ~0.3333 ``` @@ -69,18 +68,16 @@ The function has the following parameters: - **N**: number of indexed elements. - **x**: input [`Float64Array`][@stdlib/array/float64]. -- **stride**: index increment for `x`. +- **strideX**: stride length for `x`. -The `N` and `stride` parameters determine which elements in `x` are accessed at runtime. For example, to compute the [arithmetic mean][arithmetic-mean] of every other element in `x`, +The `N` and stride parameters determine which elements in the strided array are accessed at runtime. For example, to compute the [arithmetic mean][arithmetic-mean] of every other element in `x`, ```javascript var Float64Array = require( '@stdlib/array/float64' ); -var floor = require( '@stdlib/math/base/special/floor' ); var x = new Float64Array( [ 1.0, 2.0, 2.0, -7.0, -2.0, 3.0, 4.0, 2.0 ] ); -var N = floor( x.length / 2 ); -var v = dmeanors( N, x, 2 ); +var v = dmeanors( 4, x, 2 ); // returns 1.25 ``` @@ -90,18 +87,15 @@ Note that indexing is relative to the first index. To introduce an offset, use [ ```javascript var Float64Array = require( '@stdlib/array/float64' ); -var floor = require( '@stdlib/math/base/special/floor' ); var x0 = new Float64Array( [ 2.0, 1.0, 2.0, -2.0, -2.0, 2.0, 3.0, 4.0 ] ); var x1 = new Float64Array( x0.buffer, x0.BYTES_PER_ELEMENT*1 ); // start at 2nd element -var N = floor( x0.length / 2 ); - -var v = dmeanors( N, x1, 2 ); +var v = dmeanors( 4, x1, 2 ); // returns 1.25 ``` -#### dmeanors.ndarray( N, x, stride, offset ) +#### dmeanors.ndarray( N, x, strideX, offsetX ) Computes the [arithmetic mean][arithmetic-mean] of a double-precision floating-point strided array using ordinary recursive summation and alternative indexing semantics. @@ -109,26 +103,23 @@ Computes the [arithmetic mean][arithmetic-mean] of a double-precision floating-p var Float64Array = require( '@stdlib/array/float64' ); var x = new Float64Array( [ 1.0, -2.0, 2.0 ] ); -var N = x.length; -var v = dmeanors.ndarray( N, x, 1, 0 ); +var v = dmeanors.ndarray( x.length, x, 1, 0 ); // returns ~0.33333 ``` The function has the following additional parameters: -- **offset**: starting index for `x`. +- **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 [arithmetic mean][arithmetic-mean] for every other value in `x` starting from the second value +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 [arithmetic mean][arithmetic-mean] for every other element in `x` starting from the second element ```javascript var Float64Array = require( '@stdlib/array/float64' ); -var floor = require( '@stdlib/math/base/special/floor' ); var x = new Float64Array( [ 2.0, 1.0, 2.0, -2.0, -2.0, 2.0, 3.0, 4.0 ] ); -var N = floor( x.length / 2 ); -var v = dmeanors.ndarray( N, x, 2, 1 ); +var v = dmeanors.ndarray( 4, x, 2, 1 ); // returns 1.25 ``` @@ -154,18 +145,12 @@ var v = dmeanors.ndarray( N, x, 2, 1 ); ```javascript -var randu = require( '@stdlib/random/base/randu' ); -var round = require( '@stdlib/math/base/special/round' ); -var Float64Array = require( '@stdlib/array/float64' ); +var discreteUniform = require( '@stdlib/random/array/discrete-uniform' ); var dmeanors = require( '@stdlib/stats/base/dmeanors' ); -var x; -var i; - -x = new Float64Array( 10 ); -for ( i = 0; i < x.length; i++ ) { - x[ i ] = round( (randu()*100.0) - 50.0 ); -} +var x = discreteUniform( 10, -50, 50, { + 'dtype': 'float64' +}); console.log( x ); var v = dmeanors( x.length, x, 1 ); @@ -176,6 +161,107 @@ console.log( v ); + + +
+ +### Usage + +```c +#include "stdlib/stats/base/dmeanors.h" +``` + +#### stdlib_strided_dmeanors( N, \*X, strideX ) + +Computes the [arithmetic mean][arithmetic-mean] of a double-precision floating-point strided array using ordinary recursive summation. + +```c +const double x[] = { 1.0, -2.0, 2.0 }; + +double v = stdlib_strided_dmeanors( 3, x, 1 ); +// returns ~0.3333 +``` + +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_dmeanors( const CBLAS_INT N, const double *X, const CBLAS_INT strideX ); +``` + +#### stdlib_strided_dmeanors_ndarray( N, \*X, strideX, offsetX ) + +Computes the [arithmetic mean][arithmetic-mean] of a double-precision floating-point strided array using ordinary recursive summation and alternative indexing semantics. + +```c +const double x[] = { 1.0, -2.0, 2.0 }; + +double v = stdlib_strided_dmeanors_ndarray( 3, x, 1, 0 ); +// returns ~0.3333 +``` + +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_dmeanors_ndarray( const CBLAS_INT N, const double *X, const CBLAS_INT strideX, const CBLAS_INT offsetX ); +``` + +
+ + + + + +
+ +
+ + + + + +
+ +### Examples + +```c +#include "stdlib/stats/base/dmeanors.h" +#include + +int main( void ) { + // Create a strided array: + const double x[] = { 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0 }; + + // Specify the number of elements: + const int N = 4; + + // Specify the stride length: + const int strideX = 2; + + // Compute the arithmetic mean: + double v = stdlib_strided_dmeanors( N, x, strideX ); + + // Print the result: + printf( "mean: %lf\n", v ); +} +``` + +
+ + + + + + +
diff --git a/lib/node_modules/@stdlib/stats/base/dmeanors/benchmark/benchmark.js b/lib/node_modules/@stdlib/stats/base/dmeanors/benchmark/benchmark.js index 0ab8d27af04f..9525c2c2756f 100644 --- a/lib/node_modules/@stdlib/stats/base/dmeanors/benchmark/benchmark.js +++ b/lib/node_modules/@stdlib/stats/base/dmeanors/benchmark/benchmark.js @@ -21,14 +21,20 @@ // MODULES // var bench = require( '@stdlib/bench' ); -var randu = require( '@stdlib/random/base/randu' ); +var uniform = require( '@stdlib/random/array/uniform' ); var isnan = require( '@stdlib/math/base/assert/is-nan' ); var pow = require( '@stdlib/math/base/special/pow' ); -var Float64Array = require( '@stdlib/array/float64' ); var pkg = require( './../package.json' ).name; var dmeanors = require( './../lib/dmeanors.js' ); +// VARIABLES // + +var options = { + 'dtype': 'float64' +}; + + // FUNCTIONS // /** @@ -39,13 +45,7 @@ var dmeanors = require( './../lib/dmeanors.js' ); * @returns {Function} benchmark function */ function createBenchmark( len ) { - var x; - var i; - - x = new Float64Array( len ); - for ( i = 0; i < x.length; i++ ) { - x[ i ] = ( randu()*20.0 ) - 10.0; - } + var x = uniform( len, -10.0, 10.0, options ); return benchmark; function benchmark( b ) { diff --git a/lib/node_modules/@stdlib/stats/base/dmeanors/benchmark/benchmark.native.js b/lib/node_modules/@stdlib/stats/base/dmeanors/benchmark/benchmark.native.js index 566a8bd28b1b..f52bbe94f6a7 100644 --- a/lib/node_modules/@stdlib/stats/base/dmeanors/benchmark/benchmark.native.js +++ b/lib/node_modules/@stdlib/stats/base/dmeanors/benchmark/benchmark.native.js @@ -22,10 +22,9 @@ var resolve = require( 'path' ).resolve; var bench = require( '@stdlib/bench' ); -var randu = require( '@stdlib/random/base/randu' ); +var uniform = require( '@stdlib/random/array/uniform' ); var isnan = require( '@stdlib/math/base/assert/is-nan' ); var pow = require( '@stdlib/math/base/special/pow' ); -var Float64Array = require( '@stdlib/array/float64' ); var tryRequire = require( '@stdlib/utils/try-require' ); var pkg = require( './../package.json' ).name; @@ -36,6 +35,9 @@ var dmeanors = tryRequire( resolve( __dirname, './../lib/dmeanors.native.js' ) ) var opts = { 'skip': ( dmeanors instanceof Error ) }; +var options = { + 'dtype': 'float64' +}; // FUNCTIONS // @@ -48,13 +50,7 @@ var opts = { * @returns {Function} benchmark function */ function createBenchmark( len ) { - var x; - var i; - - x = new Float64Array( len ); - for ( i = 0; i < x.length; i++ ) { - x[ i ] = ( randu()*20.0 ) - 10.0; - } + var x = uniform( len, -10.0, 10.0, options ); return benchmark; function benchmark( b ) { diff --git a/lib/node_modules/@stdlib/stats/base/dmeanors/benchmark/benchmark.ndarray.js b/lib/node_modules/@stdlib/stats/base/dmeanors/benchmark/benchmark.ndarray.js index 606a2f42df50..fffc1ef8c0fc 100644 --- a/lib/node_modules/@stdlib/stats/base/dmeanors/benchmark/benchmark.ndarray.js +++ b/lib/node_modules/@stdlib/stats/base/dmeanors/benchmark/benchmark.ndarray.js @@ -21,14 +21,20 @@ // MODULES // var bench = require( '@stdlib/bench' ); -var randu = require( '@stdlib/random/base/randu' ); +var uniform = require( '@stdlib/random/array/uniform' ); var isnan = require( '@stdlib/math/base/assert/is-nan' ); var pow = require( '@stdlib/math/base/special/pow' ); -var Float64Array = require( '@stdlib/array/float64' ); var pkg = require( './../package.json' ).name; var dmeanors = require( './../lib/ndarray.js' ); +// VARIABLES // + +var options = { + 'dtype': 'float64' +}; + + // FUNCTIONS // /** @@ -39,13 +45,7 @@ var dmeanors = require( './../lib/ndarray.js' ); * @returns {Function} benchmark function */ function createBenchmark( len ) { - var x; - var i; - - x = new Float64Array( len ); - for ( i = 0; i < x.length; i++ ) { - x[ i ] = ( randu()*20.0 ) - 10.0; - } + var x = uniform( len, -10.0, 10.0, options ); return benchmark; function benchmark( b ) { diff --git a/lib/node_modules/@stdlib/stats/base/dmeanors/benchmark/benchmark.ndarray.native.js b/lib/node_modules/@stdlib/stats/base/dmeanors/benchmark/benchmark.ndarray.native.js index 5ded0fabdb69..091900e77a8f 100644 --- a/lib/node_modules/@stdlib/stats/base/dmeanors/benchmark/benchmark.ndarray.native.js +++ b/lib/node_modules/@stdlib/stats/base/dmeanors/benchmark/benchmark.ndarray.native.js @@ -22,10 +22,9 @@ var resolve = require( 'path' ).resolve; var bench = require( '@stdlib/bench' ); -var randu = require( '@stdlib/random/base/randu' ); +var uniform = require( '@stdlib/random/array/uniform' ); var isnan = require( '@stdlib/math/base/assert/is-nan' ); var pow = require( '@stdlib/math/base/special/pow' ); -var Float64Array = require( '@stdlib/array/float64' ); var tryRequire = require( '@stdlib/utils/try-require' ); var pkg = require( './../package.json' ).name; @@ -36,6 +35,9 @@ var dmeanors = tryRequire( resolve( __dirname, './../lib/ndarray.native.js' ) ); var opts = { 'skip': ( dmeanors instanceof Error ) }; +var options = { + 'dtype': 'float64' +}; // FUNCTIONS // @@ -48,13 +50,7 @@ var opts = { * @returns {Function} benchmark function */ function createBenchmark( len ) { - var x; - var i; - - x = new Float64Array( len ); - for ( i = 0; i < x.length; i++ ) { - x[ i ] = ( randu()*20.0 ) - 10.0; - } + var x = uniform( len, -10.0, 10.0, options ); return benchmark; function benchmark( b ) { diff --git a/lib/node_modules/@stdlib/stats/base/dmeanors/benchmark/c/benchmark.length.c b/lib/node_modules/@stdlib/stats/base/dmeanors/benchmark/c/benchmark.length.c index e42713363397..c148f4c9549d 100644 --- a/lib/node_modules/@stdlib/stats/base/dmeanors/benchmark/c/benchmark.length.c +++ b/lib/node_modules/@stdlib/stats/base/dmeanors/benchmark/c/benchmark.length.c @@ -94,7 +94,7 @@ static double rand_double( void ) { * @param len array length * @return elapsed time in seconds */ -static double benchmark( int iterations, int len ) { +static double benchmark1( int iterations, int len ) { double elapsed; double x[ len ]; double v; @@ -107,6 +107,7 @@ static double benchmark( int iterations, int len ) { v = 0.0; t = tic(); for ( i = 0; i < iterations; i++ ) { + // cppcheck-suppress uninitvar v = stdlib_strided_dmeanors( len, x, 1 ); if ( v != v ) { printf( "should not return NaN\n" ); @@ -120,6 +121,40 @@ static double benchmark( int iterations, int len ) { 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++ ) { + 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_dmeanors_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. */ @@ -142,7 +177,18 @@ int main( void ) { for ( j = 0; j < REPEATS; j++ ) { count += 1; printf( "# c::%s:len=%d\n", NAME, len ); - elapsed = benchmark( iter, 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 ); } diff --git a/lib/node_modules/@stdlib/stats/base/dmeanors/docs/repl.txt b/lib/node_modules/@stdlib/stats/base/dmeanors/docs/repl.txt index 28ea6ddcee0d..f3ba55c5735b 100644 --- a/lib/node_modules/@stdlib/stats/base/dmeanors/docs/repl.txt +++ b/lib/node_modules/@stdlib/stats/base/dmeanors/docs/repl.txt @@ -1,10 +1,10 @@ -{{alias}}( N, x, stride ) +{{alias}}( N, x, strideX ) Computes the arithmetic mean of a double-precision floating-point strided array using ordinary recursive summation. - The `N` and `stride` parameters determine which elements in `x` are accessed - at runtime. + 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. @@ -19,8 +19,8 @@ x: Float64Array Input array. - stride: integer - Index increment. + strideX: integer + Stride length. Returns ------- @@ -34,22 +34,19 @@ > {{alias}}( x.length, x, 1 ) ~0.3333 - // Using `N` and `stride` parameters: + // Using `N` and stride parameters: > x = new {{alias:@stdlib/array/float64}}( [ -2.0, 1.0, 1.0, -5.0, 2.0, -1.0 ] ); - > var N = {{alias:@stdlib/math/base/special/floor}}( x.length / 2 ); - > var stride = 2; - > {{alias}}( N, x, stride ) + > {{alias}}( 3, x, 2 ) ~0.3333 // Using view offsets: > var x0 = new {{alias:@stdlib/array/float64}}( [ 1.0, -2.0, 3.0, 2.0, 5.0, -1.0 ] ); > var x1 = new {{alias:@stdlib/array/float64}}( x0.buffer, x0.BYTES_PER_ELEMENT*1 ); - > N = {{alias:@stdlib/math/base/special/floor}}( x0.length / 2 ); - > stride = 2; - > {{alias}}( N, x1, stride ) + > {{alias}}( 3, x1, 2 ) ~-0.3333 -{{alias}}.ndarray( N, x, stride, offset ) + +{{alias}}.ndarray( N, x, strideX, offsetX ) Computes the arithmetic mean of a double-precision floating-point strided array using ordinary recursive summation and alternative indexing semantics. @@ -65,10 +62,10 @@ x: Float64Array Input array. - stride: integer - Index increment. + strideX: integer + Stride length. - offset: integer + offsetX: integer Starting index. Returns @@ -85,8 +82,7 @@ // Using offset parameter: > var x = new {{alias:@stdlib/array/float64}}( [ 1.0, -2.0, 3.0, 2.0, 5.0, -1.0 ] ); - > var N = {{alias:@stdlib/math/base/special/floor}}( x.length / 2 ); - > {{alias}}.ndarray( N, x, 2, 1 ) + > {{alias}}.ndarray( 3, x, 2, 1 ) ~-0.3333 See Also diff --git a/lib/node_modules/@stdlib/stats/base/dmeanors/docs/types/index.d.ts b/lib/node_modules/@stdlib/stats/base/dmeanors/docs/types/index.d.ts index 85c1b0761529..75a6459338c9 100644 --- a/lib/node_modules/@stdlib/stats/base/dmeanors/docs/types/index.d.ts +++ b/lib/node_modules/@stdlib/stats/base/dmeanors/docs/types/index.d.ts @@ -27,7 +27,7 @@ interface Routine { * * @param N - number of indexed elements * @param x - input array - * @param stride - stride length + * @param strideX - stride length * @returns arithmetic mean * * @example @@ -38,15 +38,15 @@ interface Routine { * var v = dmeanors( x.length, x, 1 ); * // returns ~0.3333 */ - ( N: number, x: Float64Array, stride: number ): number; + ( N: number, x: Float64Array, strideX: number ): number; /** * Computes the arithmetic mean of a double-precision floating-point strided array using ordinary recursive summation and alternative indexing semantics. * * @param N - number of indexed elements * @param x - input array - * @param stride - stride length - * @param offset - starting index + * @param strideX - stride length + * @param offsetX - starting index * @returns arithmetic mean * * @example @@ -57,7 +57,7 @@ interface Routine { * var v = dmeanors.ndarray( x.length, x, 1, 0 ); * // returns ~0.3333 */ - ndarray( N: number, x: Float64Array, stride: number, offset: number ): number; + ndarray( N: number, x: Float64Array, strideX: number, offsetX: number ): number; } /** @@ -65,7 +65,7 @@ interface Routine { * * @param N - number of indexed elements * @param x - input array -* @param stride - stride length +* @param strideX - stride length * @returns arithmetic mean * * @example diff --git a/lib/node_modules/@stdlib/stats/base/dmeanors/examples/c/example.c b/lib/node_modules/@stdlib/stats/base/dmeanors/examples/c/example.c index 76cb7e915e40..38c5b576f0f8 100644 --- a/lib/node_modules/@stdlib/stats/base/dmeanors/examples/c/example.c +++ b/lib/node_modules/@stdlib/stats/base/dmeanors/examples/c/example.c @@ -17,21 +17,20 @@ */ #include "stdlib/stats/base/dmeanors.h" -#include #include int main( void ) { // Create a strided array: - double x[] = { 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0 }; + const double x[] = { 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0 }; // Specify the number of elements: - int64_t N = 4; + const int N = 4; // Specify the stride length: - int64_t stride = 2; + const int strideX = 2; // Compute the arithmetic mean: - double v = stdlib_strided_dmeanors( N, x, stride ); + double v = stdlib_strided_dmeanors( N, x, strideX ); // Print the result: printf( "mean: %lf\n", v ); diff --git a/lib/node_modules/@stdlib/stats/base/dmeanors/examples/index.js b/lib/node_modules/@stdlib/stats/base/dmeanors/examples/index.js index 087fa521591f..f0a140c36168 100644 --- a/lib/node_modules/@stdlib/stats/base/dmeanors/examples/index.js +++ b/lib/node_modules/@stdlib/stats/base/dmeanors/examples/index.js @@ -18,18 +18,12 @@ 'use strict'; -var randu = require( '@stdlib/random/base/randu' ); -var round = require( '@stdlib/math/base/special/round' ); -var Float64Array = require( '@stdlib/array/float64' ); +var discreteUniform = require( '@stdlib/random/array/discrete-uniform' ); var dmeanors = require( './../lib' ); -var x; -var i; - -x = new Float64Array( 10 ); -for ( i = 0; i < x.length; i++ ) { - x[ i ] = round( (randu()*100.0) - 50.0 ); -} +var x = discreteUniform( 10, -50, 50, { + 'dtype': 'float64' +}); console.log( x ); var v = dmeanors( x.length, x, 1 ); diff --git a/lib/node_modules/@stdlib/stats/base/dmeanors/src/main.c b/lib/node_modules/@stdlib/stats/base/dmeanors/src/main.c index acf24890cf0d..297fb62286a1 100644 --- a/lib/node_modules/@stdlib/stats/base/dmeanors/src/main.c +++ b/lib/node_modules/@stdlib/stats/base/dmeanors/src/main.c @@ -1,7 +1,7 @@ /** * @license Apache-2.0 * -* Copyright (c) 2020 The Stdlib Authors. +* Copyright (c) 2025 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. diff --git a/lib/node_modules/@stdlib/stats/base/dmeanors/test/test.dmeanors.js b/lib/node_modules/@stdlib/stats/base/dmeanors/test/test.dmeanors.js index bf78c7147c8c..29dd9f902197 100644 --- a/lib/node_modules/@stdlib/stats/base/dmeanors/test/test.dmeanors.js +++ b/lib/node_modules/@stdlib/stats/base/dmeanors/test/test.dmeanors.js @@ -21,7 +21,6 @@ // MODULES // var tape = require( 'tape' ); -var floor = require( '@stdlib/math/base/special/floor' ); var isnan = require( '@stdlib/math/base/assert/is-nan' ); var Float64Array = require( '@stdlib/array/float64' ); var dmeanors = require( './../lib/dmeanors.js' ); @@ -87,7 +86,6 @@ tape( 'if provided an `N` parameter equal to `1`, the function returns the first }); tape( 'the function supports a `stride` parameter', function test( t ) { - var N; var x; var v; @@ -102,15 +100,13 @@ tape( 'the function supports a `stride` parameter', function test( t ) { 2.0 ]); - N = floor( x.length / 2 ); - v = dmeanors( N, x, 2 ); + v = dmeanors( 4, x, 2 ); t.strictEqual( v, 1.25, 'returns expected value' ); t.end(); }); tape( 'the function supports a negative `stride` parameter', function test( t ) { - var N; var x; var v; @@ -125,8 +121,7 @@ tape( 'the function supports a negative `stride` parameter', function test( t ) 2.0 ]); - N = floor( x.length / 2 ); - v = dmeanors( N, x, -2 ); + v = dmeanors( 4, x, -2 ); t.strictEqual( v, 1.25, 'returns expected value' ); t.end(); @@ -147,7 +142,6 @@ tape( 'if provided a `stride` parameter equal to `0`, the function returns the f tape( 'the function supports view offsets', function test( t ) { var x0; var x1; - var N; var v; x0 = new Float64Array([ @@ -163,9 +157,8 @@ tape( 'the function supports view offsets', function test( t ) { ]); x1 = new Float64Array( x0.buffer, x0.BYTES_PER_ELEMENT*1 ); // start at 2nd element - N = floor(x1.length / 2); - v = dmeanors( N, x1, 2 ); + v = dmeanors( 4, x1, 2 ); t.strictEqual( v, 1.25, 'returns expected value' ); t.end(); diff --git a/lib/node_modules/@stdlib/stats/base/dmeanors/test/test.dmeanors.native.js b/lib/node_modules/@stdlib/stats/base/dmeanors/test/test.dmeanors.native.js index f8e713fabad4..7b19a256aae7 100644 --- a/lib/node_modules/@stdlib/stats/base/dmeanors/test/test.dmeanors.native.js +++ b/lib/node_modules/@stdlib/stats/base/dmeanors/test/test.dmeanors.native.js @@ -22,7 +22,6 @@ var resolve = require( 'path' ).resolve; var tape = require( 'tape' ); -var floor = require( '@stdlib/math/base/special/floor' ); var isnan = require( '@stdlib/math/base/assert/is-nan' ); var Float64Array = require( '@stdlib/array/float64' ); var tryRequire = require( '@stdlib/utils/try-require' ); @@ -178,7 +177,6 @@ tape( 'if provided an `N` parameter equal to `1`, the function returns the first }); tape( 'the function supports a `stride` parameter', opts, function test( t ) { - var N; var x; var v; @@ -193,15 +191,13 @@ tape( 'the function supports a `stride` parameter', opts, function test( t ) { 2.0 ]); - N = floor( x.length / 2 ); - v = dmeanors( N, x, 2 ); + v = dmeanors( 4, x, 2 ); t.strictEqual( v, 1.25, 'returns expected value' ); t.end(); }); tape( 'the function supports a negative `stride` parameter', opts, function test( t ) { - var N; var x; var v; @@ -216,8 +212,7 @@ tape( 'the function supports a negative `stride` parameter', opts, function test 2.0 ]); - N = floor( x.length / 2 ); - v = dmeanors( N, x, -2 ); + v = dmeanors( 4, x, -2 ); t.strictEqual( v, 1.25, 'returns expected value' ); t.end(); @@ -238,7 +233,6 @@ tape( 'if provided a `stride` parameter equal to `0`, the function returns the f tape( 'the function supports view offsets', opts, function test( t ) { var x0; var x1; - var N; var v; x0 = new Float64Array([ @@ -254,9 +248,8 @@ tape( 'the function supports view offsets', opts, function test( t ) { ]); x1 = new Float64Array( x0.buffer, x0.BYTES_PER_ELEMENT*1 ); // start at 2nd element - N = floor(x1.length / 2); - v = dmeanors( N, x1, 2 ); + v = dmeanors( 4, x1, 2 ); t.strictEqual( v, 1.25, 'returns expected value' ); t.end(); diff --git a/lib/node_modules/@stdlib/stats/base/dmeanors/test/test.ndarray.js b/lib/node_modules/@stdlib/stats/base/dmeanors/test/test.ndarray.js index 5b99a88e4ab6..7beb2804b9db 100644 --- a/lib/node_modules/@stdlib/stats/base/dmeanors/test/test.ndarray.js +++ b/lib/node_modules/@stdlib/stats/base/dmeanors/test/test.ndarray.js @@ -21,7 +21,6 @@ // MODULES // var tape = require( 'tape' ); -var floor = require( '@stdlib/math/base/special/floor' ); var isnan = require( '@stdlib/math/base/assert/is-nan' ); var Float64Array = require( '@stdlib/array/float64' ); var dmeanors = require( './../lib/ndarray.js' ); @@ -87,7 +86,6 @@ tape( 'if provided an `N` parameter equal to `1`, the function returns the first }); tape( 'the function supports a `stride` parameter', function test( t ) { - var N; var x; var v; @@ -102,15 +100,13 @@ tape( 'the function supports a `stride` parameter', function test( t ) { 2.0 ]); - N = floor( x.length / 2 ); - v = dmeanors( N, x, 2, 0 ); + v = dmeanors( 4, x, 2, 0 ); t.strictEqual( v, 1.25, 'returns expected value' ); t.end(); }); tape( 'the function supports a negative `stride` parameter', function test( t ) { - var N; var x; var v; @@ -125,8 +121,7 @@ tape( 'the function supports a negative `stride` parameter', function test( t ) 2.0 ]); - N = floor( x.length / 2 ); - v = dmeanors( N, x, -2, 6 ); + v = dmeanors( 4, x, -2, 6 ); t.strictEqual( v, 1.25, 'returns expected value' ); t.end(); @@ -145,7 +140,6 @@ tape( 'if provided a `stride` parameter equal to `0`, the function returns the f }); tape( 'the function supports an `offset` parameter', function test( t ) { - var N; var x; var v; @@ -159,9 +153,8 @@ tape( 'the function supports an `offset` parameter', function test( t ) { 3.0, 4.0 // 3 ]); - N = floor( x.length / 2 ); - v = dmeanors( N, x, 2, 1 ); + v = dmeanors( 4, x, 2, 1 ); t.strictEqual( v, 1.25, 'returns expected value' ); t.end(); diff --git a/lib/node_modules/@stdlib/stats/base/dmeanors/test/test.ndarray.native.js b/lib/node_modules/@stdlib/stats/base/dmeanors/test/test.ndarray.native.js index 367683dea94a..05c9310918bf 100644 --- a/lib/node_modules/@stdlib/stats/base/dmeanors/test/test.ndarray.native.js +++ b/lib/node_modules/@stdlib/stats/base/dmeanors/test/test.ndarray.native.js @@ -22,7 +22,6 @@ var resolve = require( 'path' ).resolve; var tape = require( 'tape' ); -var floor = require( '@stdlib/math/base/special/floor' ); var isnan = require( '@stdlib/math/base/assert/is-nan' ); var Float64Array = require( '@stdlib/array/float64' ); var tryRequire = require( '@stdlib/utils/try-require' ); @@ -96,7 +95,6 @@ tape( 'if provided an `N` parameter equal to `1`, the function returns the first }); tape( 'the function supports a `stride` parameter', opts, function test( t ) { - var N; var x; var v; @@ -111,15 +109,13 @@ tape( 'the function supports a `stride` parameter', opts, function test( t ) { 2.0 ]); - N = floor( x.length / 2 ); - v = dmeanors( N, x, 2, 0 ); + v = dmeanors( 4, x, 2, 0 ); t.strictEqual( v, 1.25, 'returns expected value' ); t.end(); }); tape( 'the function supports a negative `stride` parameter', opts, function test( t ) { - var N; var x; var v; @@ -134,8 +130,7 @@ tape( 'the function supports a negative `stride` parameter', opts, function test 2.0 ]); - N = floor( x.length / 2 ); - v = dmeanors( N, x, -2, 6 ); + v = dmeanors( 4, x, -2, 6 ); t.strictEqual( v, 1.25, 'returns expected value' ); t.end(); @@ -154,7 +149,6 @@ tape( 'if provided a `stride` parameter equal to `0`, the function returns the f }); tape( 'the function supports an `offset` parameter', opts, function test( t ) { - var N; var x; var v; @@ -168,9 +162,8 @@ tape( 'the function supports an `offset` parameter', opts, function test( t ) { 3.0, 4.0 // 3 ]); - N = floor( x.length / 2 ); - v = dmeanors( N, x, 2, 1 ); + v = dmeanors( 4, x, 2, 1 ); t.strictEqual( v, 1.25, 'returns expected value' ); t.end();