feat(add c implementation): add stats/base/dists/bernoulli/median

Author: vivekmaurya001

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

@@ -154,12 +154,12 @@ Returns the [median][median] of a [Bernoulli][bernoulli-distribution] distributi
 
 ```c
 double out = stdlib_base_dists_bernoulli_median( 0.1 );
-// returns ~0
+// returns 0
 ```
 
 The function accepts the following arguments:
 
--   **p**: `[in] double` maximum support
+-   **p**: `[in] double` success probability.
 
 ```c
 double stdlib_base_dists_bernoulli_median( const double p );
@@ -194,8 +194,8 @@ int main( void ) {
     int i;
 
     for ( i = 0; i < 25; i++ ) {
-        p = ( (double)rand() / (double)RAND_MAX );
-        y = stdlib_base_dists_arcsine_median( p );
+        p = (double)rand() / ( (double)RAND_MAX + 1.0 );
+        y = stdlib_base_dists_bernoulli_median( p );
         printf( "x: %lf, Median(X;p): %lf\n", p, y );
     }
 }

lib/node_modules/@stdlib/stats/base/dists/bernoulli/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 pkg = require( './../package.json' ).name;
@@ -30,14 +31,20 @@ var median = require( './../lib' );
 // MAIN //
 
 bench( pkg, function benchmark( b ) {
+	var len;
 	var p;
 	var y;
 	var i;
 
+	len = 100;
+	p = new Float64Array( len );
+	for ( i = 0; i < len; i++ ) {
+		p[ i ] = randu();
+	}
+
 	b.tic();
 	for ( i = 0; i < b.iterations; i++ ) {
-		p = randu();
-		y = median( p );
+		y = median( p[ i%len ] );
 		if ( isnan( y ) ) {
 			b.fail( 'should not return NaN' );
 		}

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

@@ -0,0 +1,67 @@
+/**
+* @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 median = tryRequire( resolve( __dirname, './../lib/native.js' ) );
+var opts = {
+	'skip': ( median instanceof Error )
+};
+
+
+// MAIN //
+
+bench( pkg+'::native', opts, function benchmark( b ) {
+	var len;
+	var p;
+	var y;
+	var i;
+
+	len = 100;
+	p = new Float64Array( len );
+	for ( i = 0; i < len; i++ ) {
+		p[ i ] = randu();
+	}
+
+	b.tic();
+	for ( i = 0; i < b.iterations; i++ ) {
+		y = median( p[ 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/bernoulli/median/benchmark/c/benchmark.c

@@ -91,15 +91,18 @@ static double rand_double( void ) {
 */
 static double benchmark( void ) {
 	double elapsed;
-	double p;
+	double p[ 100 ];
 	double y;
 	double t;
 	int i;
 
+	for ( i = 0; i < 100; i++ ) {
+		p[ i ] = rand_double();
+	}
+
 	t = tic();
 	for ( i = 0; i < ITERATIONS; i++ ) {
-		p = ( (double)rand() / (double)RAND_MAX );
-		y = stdlib_base_dists_bernoulli_median( p );
+		y = stdlib_base_dists_bernoulli_median( p[ i%100 ] );
 		if ( y != y ) {
 			printf( "should not return NaN\n" );
 			break;
@@ -130,4 +133,4 @@ int main( void ) {
 		printf( "ok %d benchmark finished\n", i+1 );
 	}
 	print_summary( REPEATS, REPEATS );
-}
+}

lib/node_modules/@stdlib/stats/base/dists/bernoulli/median/examples/c/example.c

@@ -26,7 +26,7 @@ int main( void ) {
 	int i;
 
 	for ( i = 0; i < 25; i++ ) {
-		p = ( (double)rand() / (double)RAND_MAX );
+		p = (double)rand() / ( (double)RAND_MAX + 1.0 );
 		y = stdlib_base_dists_bernoulli_median( p );
 		printf( "x: %lf , H(X;p): %lf\n", p , y );
 	}

lib/node_modules/@stdlib/stats/base/dists/bernoulli/median/include/stdlib/stats/base/dists/bernoulli/median.h

@@ -27,7 +27,7 @@ extern "C" {
 #endif
 
 /**
-* Returns the median of a Bernoulli distribution.
+* Returns the median of a Bernoulli distribution with success probability `p`.
 */
 double stdlib_base_dists_bernoulli_median( const double p );
 

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

@@ -28,6 +28,7 @@ var addon = require( './../src/addon.node' );
 /**
 * Returns the median of a Bernoulli distribution.
 *
+* @private
 * @param {Probability} p - success probability
 * @returns {PositiveNumber} median
 *

lib/node_modules/@stdlib/stats/base/dists/bernoulli/median/manifest.json

@@ -73,4 +73,4 @@
         ]
       }
     ]
-  }
+}

lib/node_modules/@stdlib/stats/base/dists/bernoulli/median/src/main.c

@@ -27,14 +27,13 @@
 *
 * @example
 * double y = stdlib_base_dists_bernoulli_median( 0.1 );
-* // returns ~0
+* // returns 0
 *
 * @example
 * double y = stdlib_base_dists_bernoulli_median( 0.8 );
-* // returns ~1
+* // returns 1
 */
 double stdlib_base_dists_bernoulli_median( const double p ) {
-	double q;
 	if (
 		stdlib_base_is_nan( p ) ||
 		p < 0.0 ||