Merge branch 'develop' of https://github.com/stdlib-js/stdlib into develop

Author: kgryte

lib/node_modules/@stdlib/number/float64/base/ulp-difference/lib/main.js

@@ -183,7 +183,7 @@ function ulpdiff( x, y ) {
 	wx = toWords( x, WX, 1, 0 );
 	wy = toWords( y, WY, 1, 0 );
 
-	// Convert the values to lexicographically order integers:
+	// Convert the values to lexicographically ordered integers:
 	wx = monotoneKey( wx );
 	wy = monotoneKey( wy );
 

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

@@ -139,7 +139,7 @@ y = myQuantile( 0.3 );
 <!-- eslint no-undef: "error" -->
 
 ```javascript
-var randu = require( '@stdlib/random/base/randu' );
+var uniform = require( '@stdlib/random/array/uniform' );
 var EPS = require( '@stdlib/constants/float64/eps' );
 var quantile = require( '@stdlib/stats/base/dists/kumaraswamy/quantile' );
 
@@ -149,19 +149,120 @@ var p;
 var y;
 var i;
 
-for ( i = 0; i < 10; i++ ) {
-    p = randu();
-    a = ( randu()*5.0 ) + EPS;
-    b = ( randu()*5.0 ) + EPS;
-    y = quantile( p, a, b );
-    console.log( 'p: %d, a: %d, b: %d, Q(p;a,b): %d', p.toFixed( 4 ), a.toFixed( 4 ), b.toFixed( 4 ), y.toFixed( 4 ) );
+p = uniform( 10, 0.0, 1.0 );
+a = uniform( 10, EPS, 5.0 );
+b = uniform( 10, EPS, 5.0 );
+
+for ( i = 0; i < p.length; i++ ) {
+    y = quantile( p[ i ], a[ i ], b[ i ] );
+    console.log( 'p: %d, a: %d, b: %d, Q(p;a,b): %d', p[ i ].toFixed( 4 ), a[ i ].toFixed( 4 ), b[ i ].toFixed( 4 ), y.toFixed( 4 ) );
 }
 ```
 
 </section>
 
 <!-- /.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/quantile.h"
+```
+
+#### stdlib_base_dists_kumaraswamy_quantile( p, a, b )
+
+Evaluates the quantile function of a Kumaraswamy's double bounded distribution.
+
+```c
+double out = stdlib_base_dists_kumaraswamy_quantile( 0.5, 1.0, 1.0 );
+// returns 0.5
+```
+
+The function accepts the following arguments:
+
+-   **p**: `[in] double` probability.
+-   **a**: `[in] double` first shape parameter.
+-   **b**: `[in] double` second shape parameter.
+
+```c
+double stdlib_base_dists_kumaraswamy_quantile( const double p, 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/quantile.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 p;
+    double a;
+    double b;
+    double y;
+    int i;
+
+    for ( i = 0; i < 25; i++ ) {
+        p = random_uniform( 0.0, 1.0 );
+        a = random_uniform( STDLIB_CONSTANT_FLOAT64_EPS, 5.0 );
+        b = random_uniform( STDLIB_CONSTANT_FLOAT64_EPS, 5.0 );
+        y = stdlib_base_dists_kumaraswamy_quantile( p, a, b );
+        printf( "p: %lf, a: %lf, b: %lf, Q(p;a,b): %lf\n", p, a, b, y );
+    }
+}
+```
+
+</section>
+
+<!-- /.examples -->
+
+</section>
+
+<!-- /.c -->
+
 <!-- 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/quantile/benchmark/benchmark.js

@@ -21,7 +21,7 @@
 // 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 EPS = require( '@stdlib/constants/float64/eps' );
 var pkg = require( './../package.json' ).name;
@@ -31,18 +31,21 @@ var quantile = require( './../lib' );
 // MAIN //
 
 bench( pkg, function benchmark( b ) {
+	var len;
 	var a;
 	var s;
 	var p;
 	var y;
 	var i;
 
+	len = 100;
+	p = uniform( len, 0.0, 1.0 );
+	a = uniform( len, EPS, 5.0 );
+	s = uniform( len, EPS, 5.0 );
+
 	b.tic();
 	for ( i = 0; i < b.iterations; i++ ) {
-		p = randu() + EPS;
-		a = ( randu()*100.0 ) + EPS;
-		s = ( randu()*100.0 ) + EPS;
-		y = quantile( p, a, s );
+		y = quantile( p[ i % len ], a[ i % len ], s[ i % len ] );
 		if ( isnan( y ) ) {
 			b.fail( 'should not return NaN' );
 		}
@@ -66,11 +69,11 @@ bench( pkg+':factory', function benchmark( b ) {
 	a = 100.56789;
 	s = 55.54321;
 	myQuantile = quantile.factory( a, s );
+	p = uniform( 100, 0.0, 1.0 );
 
 	b.tic();
 	for ( i = 0; i < b.iterations; i++ ) {
-		p = randu() + EPS;
-		y = myQuantile( p );
+		y = myQuantile( p[ i % p.length ] );
 		if ( isnan( y ) ) {
 			b.fail( 'should not return NaN' );
 		}

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

@@ -0,0 +1,68 @@
+/**
+* @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' );
+var uniform = require( '@stdlib/random/array/uniform' );
+var isnan = require( '@stdlib/math/base/assert/is-nan' );
+var EPS = require( '@stdlib/constants/float64/eps' );
+var tryRequire = require( '@stdlib/utils/try-require' );
+var pkg = require( './../package.json' ).name;
+
+
+// VARIABLES //
+
+var quantile = tryRequire( resolve( __dirname, './../lib/native.js' ) );
+var opts = {
+	'skip': ( quantile instanceof Error )
+};
+
+
+// MAIN //
+
+bench( pkg+'::native', opts, function benchmark( b ) {
+	var len;
+	var a;
+	var s;
+	var p;
+	var y;
+	var i;
+
+	len = 100;
+	p = uniform( len, 0.0, 1.0 );
+	a = uniform( len, EPS, 5.0 );
+	s = uniform( len, EPS, 5.0 );
+
+	b.tic();
+	for ( i = 0; i < b.iterations; i++ ) {
+		y = quantile( p[ i % len ], a[ i % len ], s[ 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();
+});