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Author: stdlib-bot

CHANGELOG.md

@@ -44,6 +44,40 @@ This release closes the following issue:
 
 <!-- /.package -->
 
+<section class="package" id="stats-base-dists-arcsine-entropy-unreleased">
+
+#### [@stdlib/stats/base/dists/arcsine/entropy](https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/dists/arcsine/entropy)
+
+<details>
+
+<section class="features">
+
+##### Features
+
+-   [`222ef72`](https://github.com/stdlib-js/stdlib/commit/222ef725730746806fa15ac1d735f0284cf4616e) - add C implementation for `stats/base/dists/arcsine/entropy` [(#3379)](https://github.com/stdlib-js/stdlib/pull/3379)
+
+</section>
+
+<!-- /.features -->
+
+<section class="issues">
+
+##### Closed Issues
+
+This release closes the following issue:
+
+[#3378](https://github.com/stdlib-js/stdlib/issues/3378)
+
+</section>
+
+<!-- /.issues -->
+
+</details>
+
+</section>
+
+<!-- /.package -->
+
 <section class="package" id="stats-base-dists-arcsine-logpdf-unreleased">
 
 #### [@stdlib/stats/base/dists/arcsine/logpdf](https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/dists/arcsine/logpdf)
@@ -298,9 +332,9 @@ A total of 3 issues were closed in this release:
 
 ### Closed Issues
 
-A total of 10 issues were closed in this release:
+A total of 11 issues were closed in this release:
 
-[#1619](https://github.com/stdlib-js/stdlib/issues/1619), [#1632](https://github.com/stdlib-js/stdlib/issues/1632), [#1633](https://github.com/stdlib-js/stdlib/issues/1633), [#3236](https://github.com/stdlib-js/stdlib/issues/3236), [#3237](https://github.com/stdlib-js/stdlib/issues/3237), [#3238](https://github.com/stdlib-js/stdlib/issues/3238), [#3384](https://github.com/stdlib-js/stdlib/issues/3384), [#3401](https://github.com/stdlib-js/stdlib/issues/3401), [#3414](https://github.com/stdlib-js/stdlib/issues/3414), [#3446](https://github.com/stdlib-js/stdlib/issues/3446)
+[#1619](https://github.com/stdlib-js/stdlib/issues/1619), [#1632](https://github.com/stdlib-js/stdlib/issues/1632), [#1633](https://github.com/stdlib-js/stdlib/issues/1633), [#3236](https://github.com/stdlib-js/stdlib/issues/3236), [#3237](https://github.com/stdlib-js/stdlib/issues/3237), [#3238](https://github.com/stdlib-js/stdlib/issues/3238), [#3378](https://github.com/stdlib-js/stdlib/issues/3378), [#3384](https://github.com/stdlib-js/stdlib/issues/3384), [#3401](https://github.com/stdlib-js/stdlib/issues/3401), [#3414](https://github.com/stdlib-js/stdlib/issues/3414), [#3446](https://github.com/stdlib-js/stdlib/issues/3446)
 
 </section>
 
@@ -332,6 +366,7 @@ A total of 9 people contributed to this release. Thank you to the following cont
 
 <details>
 
+-   [`222ef72`](https://github.com/stdlib-js/stdlib/commit/222ef725730746806fa15ac1d735f0284cf4616e) - **feat:** add C implementation for `stats/base/dists/arcsine/entropy` [(#3379)](https://github.com/stdlib-js/stdlib/pull/3379) _(by Aayush Khanna, Philipp Burckhardt)_
 -   [`5019fab`](https://github.com/stdlib-js/stdlib/commit/5019fab885f33507350e6b7ec6a61e1e283d6249) - **feat:** add C implementation for `stats/base/dists/bernoulli/mean` [(#3451)](https://github.com/stdlib-js/stdlib/pull/3451) _(by Vivek maurya, Athan Reines, stdlib-bot)_
 -   [`be1e1c4`](https://github.com/stdlib-js/stdlib/commit/be1e1c4a2e5d9a1e0ebc0e2f0a4244c50d4142c5) - **bench:** fix missing namespace _(by Athan Reines)_
 -   [`d1a200b`](https://github.com/stdlib-js/stdlib/commit/d1a200bc6ab344f9fcd8a33a70712456dbf479d0) - **feat:** add C implementation for `stats/base/dists/betaprime/stdev` [(#3461)](https://github.com/stdlib-js/stdlib/pull/3461) _(by Aayush Khanna, Philipp Burckhardt, stdlib-bot)_

base/dists/arcsine/entropy/README.md

@@ -132,6 +132,101 @@ 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/arcsine/entropy.h"
+```
+
+#### stdlib_base_dists_arcsine_entropy( a, b )
+
+Returns the differential entropy of an arcsine distribution.
+
+```c
+double out = stdlib_base_dists_arcsine_entropy( -4.0, 4.0 );
+// returns ~1.838
+```
+
+The function accepts the following arguments:
+
+-   **a**: `[in] double` minimum support.
+-   **b**: `[in] double` maximum support.
+
+```c
+double stdlib_base_dists_arcsine_entropy( 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/arcsine/entropy.h"
+#include <stdlib.h>
+#include <stdio.h>
+
+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, 20 );
+        b = random_uniform( 0, 20 ) + a;
+        y = stdlib_base_dists_arcsine_entropy( a, b );
+        printf( "x: %lf, a: %lf, b: %lf, h(X;a,b): %lf\n", a, b, y );
+    }
+}
+```
+
+</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">

base/dists/arcsine/entropy/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 pkg = require( './../package.json' ).name;
@@ -32,14 +33,21 @@ var entropy = require( './../lib' );
 bench( pkg, function benchmark( b ) {
 	var min;
 	var max;
+	var len;
 	var y;
 	var i;
 
+	len = 100;
+	min = new Float64Array( len );
+	max = new Float64Array( len );
+	for ( i = 0; i < len; i++ ) {
+		min[ i ] = randu() * 20.0;
+		max[ i ] = ( randu() * 20.0 ) + min[ i ];
+	}
+
 	b.tic();
 	for ( i = 0; i < b.iterations; i++ ) {
-		min = ( randu()*10.0 );
-		max = ( randu()*10.0 ) + min;
-		y = entropy( min, max );
+		y = entropy( min[ i % len ], max[ i % len ] );
 		if ( isnan( y ) ) {
 			b.fail( 'should not return NaN' );
 		}

base/dists/arcsine/entropy/benchmark/benchmark.native.js

@@ -0,0 +1,70 @@
+/**
+* @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 tryRequire = require( '@stdlib/utils/try-require' );
+var randu = require( '@stdlib/random/base/randu' );
+var isnan = require( '@stdlib/math/base/assert/is-nan' );
+var pkg = require( './../package.json' ).name;
+
+
+// VARIABLES //
+
+var entropy = tryRequire( resolve( __dirname, './../lib/native.js' ) );
+var opts = {
+	'skip': ( entropy instanceof Error )
+};
+
+
+// MAIN //
+
+bench( pkg+'::native', opts, function benchmark( b ) {
+	var min;
+	var max;
+	var len;
+	var y;
+	var i;
+
+	len = 100;
+	min = new Float64Array( len );
+	max = new Float64Array( len );
+	for ( i = 0; i < len; i++ ) {
+		min[ i ] = randu() * 20.0;
+		max[ i ] = ( randu() * 20.0 ) + min[ i ];
+	}
+
+	b.tic();
+	for ( i = 0; i < b.iterations; i++ ) {
+		y = entropy( min[ i % len ], max[ 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();
+});