Auto-generated commit

CHANGELOG.md

@@ -4,14 +4,37 @@
 
 <section class="release" id="unreleased">
 
-## Unreleased (2025-01-21)
+## Unreleased (2025-02-07)
+
+<section class="features">
+
+### Features
+
+-   [`b1f7e5c`](https://github.com/stdlib-js/stdlib/commit/b1f7e5c17b39382bd4b5246792ee6caa04449f80) - add C implementation for `stats/base/dists/beta/logpdf` [(#4050)](https://github.com/stdlib-js/stdlib/pull/4050)
+
+</section>
+
+<!-- /.features -->
+
+<section class="issues">
+
+### Closed Issues
+
+This release closes the following issue:
+
+[#3427](https://github.com/stdlib-js/stdlib/issues/3427)
+
+</section>
+
+<!-- /.issues -->
 
 <section class="commits">
 
 ### Commits
 
 <details>
 
+-   [`b1f7e5c`](https://github.com/stdlib-js/stdlib/commit/b1f7e5c17b39382bd4b5246792ee6caa04449f80) - **feat:** add C implementation for `stats/base/dists/beta/logpdf` [(#4050)](https://github.com/stdlib-js/stdlib/pull/4050) _(by Neeraj Pathak, stdlib-bot)_
 -   [`9394549`](https://github.com/stdlib-js/stdlib/commit/939454926b745326a5b14bcd0924a0526baa93da) - **bench:** refactor random number generation in `stats/base/dists/beta` [(#4837)](https://github.com/stdlib-js/stdlib/pull/4837) _(by Karan Anand)_
 
 </details>
@@ -24,9 +47,10 @@
 
 ### Contributors
 
-A total of 1 person contributed to this release. Thank you to this contributor:
+A total of 2 people contributed to this release. Thank you to the following contributors:
 
 -   Karan Anand
+-   Neeraj Pathak
 
 </section>
 

CONTRIBUTORS

@@ -63,6 +63,7 @@ Marcus Fantham <mfantham@users.noreply.github.com>
 Matt Cochrane <matthew.cochrane.eng@gmail.com>
 Mihir Pandit <129577900+MSP20086@users.noreply.github.com>
 Milan Raj <rajsite@users.noreply.github.com>
+Mohammad Bin Aftab <48010758+MohammadBinAftab@users.noreply.github.com>
 Mohammad Kaif <mdkaifprofession@gmail.com>
 Momtchil Momtchev <momtchil@momtchev.com>
 Muhammad Haris <harriskhan047@outlook.com>

README.md

@@ -202,6 +202,106 @@ 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/beta/logpdf.h"
+```
+
+#### stdlib_base_dists_beta_logpdf( x, alpha, beta )
+
+Evaluates the natural logarithm of the probability density function (logPDF) for a beta distribution with first shape parameter `alpha` and second shape parameter `beta`.
+
+```c
+double y = stdlib_base_dists_beta_logpdf( 0.5, 1.0, 1.0 );
+// returns 0.0
+```
+
+The function accepts the following arguments:
+
+-   **x**: `[in] double` input value.
+-   **alpha**: `[in] double` first shape parameter.
+-   **beta**: `[in] double` second shape parameter.
+
+```c
+double stdlib_base_dists_beta_logpdf( const double x, double alpha, const double beta );
+```
+
+</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/beta/logpdf.h"
+#include "stdlib/constants/float64/eps.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 alpha;
+    double beta;
+    double x;
+    double y;
+    int i;
+
+    for ( i = 0; i < 10; i++ ) {
+        x = random_uniform( 0.0, 1.0 );
+        alpha = random_uniform( STDLIB_CONSTANT_FLOAT64_EPS, 5.0 );
+        beta = random_uniform( STDLIB_CONSTANT_FLOAT64_EPS, 5.0 );
+        y = stdlib_base_dists_beta_logpdf( x, alpha, beta );
+        printf( "x: %1f. α: %1f. β: %1f. ln(f(x;α,β)): %lf\n", x, alpha, beta, y );
+    }
+}
+```
+
+</section>
+
+<!-- /.examples -->
+
+</section>
+
+<!-- /.c -->
+
 <!-- Section for related `stdlib` packages. Do not manually edit this section, as it is automatically populated. -->
 
 <section class="related">

benchmark/benchmark.js

@@ -21,8 +21,8 @@
 // MODULES //
 
 var bench = require( '@stdlib/bench-harness' );
+var uniform = require( '@stdlib/random-base-uniform' );
 var Float64Array = require( '@stdlib/array-float64' );
-var uniform	= require( '@stdlib/random-base-uniform' );
 var isnan = require( '@stdlib/math-base-assert-is-nan' );
 var EPS = require( '@stdlib/constants-float64-eps' );
 var pkg = require( './../package.json' ).name;
@@ -40,13 +40,13 @@ bench( pkg, function benchmark( b ) {
 	var i;
 
 	len = 100;
-	x = new Float64Array( len );
 	alpha = new Float64Array( len );
 	beta = new Float64Array( len );
+	x = new Float64Array( len );
 	for ( i = 0; i < len; i++ ) {
-		x[ i ] = uniform( EPS, 2.0 );
 		alpha[ i ] = uniform( EPS, 100.0 );
 		beta[ i ] = uniform( EPS, 100.0 );
+		x[ i ] = uniform( EPS, 2.0 );
 	}
 
 	b.tic();
@@ -76,6 +76,7 @@ bench( pkg+':factory', function benchmark( b ) {
 	alpha = 100.56789;
 	beta = 55.54321;
 	mylogpdf = logpdf.factory( alpha, beta );
+
 	len = 100;
 	x = new Float64Array( len );
 	for ( i = 0; i < len; i++ ) {

benchmark/benchmark.native.js

@@ -0,0 +1,74 @@
+/**
+* @license Apache-2.0
+*
+* 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.
+* 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-harness' );
+var uniform = require( '@stdlib/random-base-uniform' );
+var Float64Array = require( '@stdlib/array-float64' );
+var isnan = require( '@stdlib/math-base-assert-is-nan' );
+var tryRequire = require( '@stdlib/utils-try-require' );
+var EPS = require( '@stdlib/constants-float64-eps' );
+var pkg = require( './../package.json' ).name;
+
+
+// VARIABLES //
+
+var logpdf = tryRequire( resolve( __dirname, './../lib/native.js' ) );
+var opts = {
+	'skip': ( logpdf instanceof Error )
+};
+
+
+// MAIN //
+
+bench( pkg+'::native', opts, function benchmark( b ) {
+	var alpha;
+	var beta;
+	var len;
+	var x;
+	var y;
+	var i;
+
+	len = 100;
+	alpha = new Float64Array( len );
+	beta = new Float64Array( len );
+	x = new Float64Array( len );
+	for ( i = 0; i < len; i++ ) {
+		alpha[ i ] = uniform( EPS, 100.0 );
+		beta[ i ] = uniform( EPS, 100.0 );
+		x[ i ] = uniform( EPS, 2.0 );
+	}
+
+	b.tic();
+	for ( i = 0; i < b.iterations; i++ ) {
+		y = logpdf( x[ i % len ], 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();
+});