chore: apply suggestions and add benchmark.native.js

Author: Planeshifter

lib/node_modules/@stdlib/stats/base/dists/arcsine/cdf/benchmark/benchmark.js

@@ -21,6 +21,8 @@
 // MODULES //
 
 var bench = require( '@stdlib/bench' );
+var Float64Array = require( '@stdlib/array/float64' );
+var uniform = require( '@stdlib/random/array/uniform' );
 var randu = require( '@stdlib/random/base/randu' );
 var isnan = require( '@stdlib/math/base/assert/is-nan' );
 var pkg = require( './../package.json' ).name;
@@ -30,18 +32,26 @@ var cdf = require( './../lib' );
 // MAIN //
 
 bench( pkg, function benchmark( b ) {
+	var len;
 	var min;
 	var max;
 	var x;
 	var y;
 	var i;
 
+	len = 100;
+	x = new Float64Array( len );
+	min = new Float64Array( len );
+	max = new Float64Array( len );
+	for ( i = 0; i < len; i++ ) {
+		x[ i ] = ( randu() * 20.0 ) - 10.0;
+		min[ i ] = ( randu() * 20.0 ) - 20.0;
+		max[ i ] = min[ i ] + ( randu() * 40.0 );
+	}
+
 	b.tic();
 	for ( i = 0; i < b.iterations; i++ ) {
-		x = ( randu() * 20.0 ) - 10.0;
-		min = ( randu() * 20.0 ) - 20.0;
-		max = min + ( randu() * 40.0 );
-		y = cdf( x, min, max );
+		y = cdf( x[ i % len ], min[ i % len ], max[ i % len ] );
 		if ( isnan( y ) ) {
 			b.fail( 'should not return NaN' );
 		}
@@ -65,11 +75,11 @@ bench( pkg+':factory', function benchmark( b ) {
 	min = -1.5;
 	max = 1.5;
 	mycdf = cdf.factory( min, max );
+	x = uniform( 100, -2.0, 2.0 );
 
 	b.tic();
 	for ( i = 0; i < b.iterations; i++ ) {
-		x = ( randu()*2.0 ) - 2.0;
-		y = mycdf( x );
+		y = mycdf( x[ i % x.length ] );
 		if ( isnan( y ) ) {
 			b.fail( 'should not return NaN' );
 		}

lib/node_modules/@stdlib/stats/base/dists/arcsine/cdf/benchmark/benchmark.native.js

@@ -0,0 +1,73 @@
+/**
+* @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 isnan = require( '@stdlib/math/base/assert/is-nan' );
+var tryRequire = require( '@stdlib/utils/try-require' );
+var pkg = require( './../package.json' ).name;
+
+
+// VARIABLES //
+
+var cdf = tryRequire( resolve( __dirname, './../lib/native.js' ) );
+var opts = {
+	'skip': ( cdf instanceof Error )
+};
+
+
+// MAIN //
+
+bench( pkg, opts, function benchmark( b ) {
+	var len;
+	var min;
+	var max;
+	var x;
+	var y;
+	var i;
+
+	len = 100;
+	x = new Float64Array( len );
+	min = new Float64Array( len );
+	max = new Float64Array( len );
+	for ( i = 0; i < len; i++ ) {
+		x[ i ] = ( randu() * 20.0 ) - 10.0;
+		min[ i ] = ( randu() * 20.0 ) - 20.0;
+		max[ i ] = min[ i ] + ( randu() * 40.0 );
+	}
+
+	b.tic();
+	for ( i = 0; i < b.iterations; i++ ) {
+		y = cdf( x[ i % len ], 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();
+});

lib/node_modules/@stdlib/stats/base/dists/arcsine/cdf/examples/c/example.c

@@ -20,6 +20,11 @@
 #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 x;
 	double a;
@@ -28,9 +33,9 @@ int main( void ) {
 	int i;
 
 	for ( i = 0; i < 25; i++ ) {
-		x = ( (double)rand() / (double)RAND_MAX ) * 20.0 - 10.0;
-		a = ( (double)rand() / (double)RAND_MAX ) * 20.0 - 20.0;
-		b = a + ( (double)rand() / (double)RAND_MAX ) * 40.0;
+		x = random_uniform( -10.0, 10.0 );
+		a = random_uniform( -20.0, 0.0 );
+		b = random_uniform( a, a+40.0 );
 		y = stdlib_base_dists_arcsine_cdf( x, a, b );
 		printf( "x: %lf, a: %lf, b: %lf, F(x;a,b): %lf\n", x, a, b, y );
 	}

lib/node_modules/@stdlib/stats/base/dists/arcsine/cdf/package.json

@@ -21,7 +21,6 @@
     "example": "./examples",
     "include": "./include",
     "lib": "./lib",
-    "scripts": "./scripts",
     "src": "./src",
     "test": "./test"
   },