feat: add C implementation for stats/base/dists/kumaraswamy/median

lib/node_modules/@stdlib/stats/base/dists/kumaraswamy/median.h

@@ -0,0 +1,38 @@
+/**
+* @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.
+*/
+
+#ifndef STDLIB_STATS_BASE_DISTS_KUMARASWAMY_MEDIAN_H
+#define STDLIB_STATS_BASE_DISTS_KUMARASWAMY_MEDIAN_H
+
+/*
+* If C++, prevent name mangling so that the compiler emits a binary file having undecorated names, thus mirroring the behavior of a C compiler.
+*/
+#ifdef __cplusplus
+extern "C" {
+#endif
+
+/**
+* Returns the median of a Kumaraswamy distribution.
+*/
+double stdlib_base_dists_kumaraswamy_median( const double a, const double b );
+
+#ifdef __cplusplus
+}
+#endif
+
+#endif // !STDLIB_STATS_BASE_DISTS_KUMARASWAMY_MEDIAN_H

lib/node_modules/@stdlib/stats/base/dists/kumaraswamy/median/README.md

@@ -2,7 +2,7 @@
 
 @license Apache-2.0
 
-Copyright (c) 2018 The Stdlib Authors.
+Copyright (c) 2014 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.
@@ -143,6 +143,114 @@ for ( i = 0; i < 10; i++ ) {
 
 <!-- /.examples -->
 
+
+<!-- C interface documentation. -->
+
+* * *
+
+<section class="c">
+
+## C APIs
+
+<!-- Section to include introductory text. Make sure to keep an empty line after the intro `section` element and another before the `/section` close. -->
+
+<section class="intro">
+
+</section>
+
+<!-- /.intro -->
+
+<!-- C usage documentation. -->
+
+<section class="usage">
+
+### Usage
+
+```c
+#include "stdlib/stats/base/dists/kumaraswamy/median.h"
+```
+
+#### stdlib_base_dists_kumaraswamy_median( a, b )
+
+Evaluates the [median][median] of a [Kumaraswamy][kumaraswamy-distribution] distribution with shape parameters a and b.
+
+```c
+double out = stdlib_base_dists_kumaraswamy_median( 2.0, 3.0 );
+// returns ~1.817
+```
+
+The function accepts the following arguments:
+
+-   **a**: `[in] double` shape parameter.
+-   **b**: `[in] double` shape parameter.
+
+
+```c
+double stdlib_base_dists_kumaraswamy_median( const double a, const double b );
+
+```
+
+</section>
+
+<!-- /.usage -->
+
+<!-- C API usage notes. Make sure to keep an empty line after the `section` element and another before the `/section` close. -->
+
+<section class="notes">
+
+</section>
+
+<!-- /.notes -->
+
+<!-- C API usage examples. -->
+
+<section class="examples">
+
+### Examples
+
+```c
+#include "stdlib/stats/base/dists/kumaraswamy/median.h"
+#include "stdlib/constants/float64/eps.h"
+#include <stdlib.h>
+#include <stdio.h>
+
+double stdlib_base_dists_kumaraswamy_median( const double a, const double b ) {
+    return pow( 1.0 - pow( 0.5, 1.0 / b ), 1.0 / a );
+}
+
+static double random_uniform( const double min, const double max ) {
+    double v = (double)rand() / ( (double)RAND_MAX + 1.0 );
+    return min + ( v * (max - min) );
+}
+
+int main( void ) {
+    double a;
+    double b;
+    double y;
+    int i;
+
+    for ( i = 0; i < 25; i++ ) {
+        a = random_uniform( 0.1, 10.0 );
+        b = random_uniform( 0.1, 10.0 );
+        y = stdlib_base_dists_kumaraswamy_median( a, b );
+        printf( "a: %lf, b: %lf, Median(a, b): %lf\n", a, b, y );
+    }
+
+    return 0;
+}
+
+```
+
+</section>
+
+<!-- /.examples -->
+
+</section>
+
+
+<!-- /.c -->
+
+
 <!-- Section to include cited references. If references are included, add a horizontal rule *before* the section. Make sure to keep an empty line after the `section` element and another before the `/section` close. -->
 
 <section class="references">
@@ -151,6 +259,7 @@ for ( i = 0; i < 10; i++ ) {
 
 <!-- /.references -->
 
+
 <!-- Section for related `stdlib` packages. Do not manually edit this section, as it is automatically populated. -->
 
 <section class="related">

lib/node_modules/@stdlib/stats/base/dists/kumaraswamy/median/benchmark/benchmark.js

@@ -21,6 +21,7 @@
 // MODULES //
 
 var bench = require( '@stdlib/bench' );
+var Float64Array = require( '@stdlib/array/float64' );
 var randu = require( '@stdlib/random/base/randu' );
 var isnan = require( '@stdlib/math/base/assert/is-nan' );
 var EPS = require( '@stdlib/constants/float64/eps' );
@@ -31,16 +32,23 @@ var median = require( './../lib' );
 // MAIN //
 
 bench( pkg, function benchmark( b ) {
-	var shape1;
-	var shape2;
+	var alpha;
+	var beta;
+	var len;
 	var y;
 	var i;
 
+	len = 100;
+	alpha = new Float64Array( len );
+	beta = new Float64Array( len );
+	for ( i = 0; i < len; i++ ) {
+		alpha[ i ] = ( randu() * 10.0 ) + EPS;
+		beta[ i ] = ( randu() * 10.0 ) + EPS;
+	}
+
 	b.tic();
 	for ( i = 0; i < b.iterations; i++ ) {
-		shape1 = ( randu()*10.0 ) + EPS;
-		shape2 = ( randu()*10.0 ) + EPS;
-		y = median( shape1, shape2 );
+		y = median( alpha[ i % len ], beta[ i % len ] );
 		if ( isnan( y ) ) {
 			b.fail( 'should not return NaN' );
 		}

lib/node_modules/@stdlib/stats/base/dists/kumaraswamy/median/benchmark/benchmark.native.js

@@ -0,0 +1,71 @@
+/**
+* @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.
+*/
+
+'use strict';
+
+// MODULES //
+
+var resolve = require( 'path' ).resolve;
+var bench = require( '@stdlib/bench' );
+var Float64Array = require( '@stdlib/array/float64' );
+var randu = require( '@stdlib/random/base/randu' );
+var EPS = require( '@stdlib/constants/float64/eps' );
+var isnan = require( '@stdlib/math/base/assert/is-nan' );
+var tryRequire = require( '@stdlib/utils/try-require' );
+var pkg = require( './../package.json' ).name;
+
+
+// VARIABLES //
+
+var pdf = tryRequire( resolve( __dirname, './../lib/native.js' ) );
+var opts = {
+	'skip': ( pdf instanceof Error )
+};
+
+
+// MAIN //
+
+bench( pkg+'::native', opts, function benchmark( b ) {
+	var alpha;
+	var beta;
+	var len;
+	var y;
+	var i;
+
+	len = 100;
+	alpha = new Float64Array( len );
+	beta = new Float64Array( len );
+	for ( i = 0; i < len; i++ ) {
+		alpha[ i ] = ( randu() * 10.0 ) + EPS;
+		beta[ i ] = ( randu() * 10.0 ) + EPS;
+	}
+
+	b.tic();
+	for ( i = 0; i < b.iterations; i++ ) {
+		y = pdf( alpha[ i % len ], beta[ i % len ] );
+		if ( isnan( y ) ) {
+			b.fail( 'should not return NaN' );
+		}
+	}
+	b.toc();
+	if ( isnan( y ) ) {
+		b.fail( 'should not return NaN' );
+	}
+	b.pass( 'benchmark finished' );
+	b.end();
+});