chore: clean up

Author: Neerajpathak07

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

@@ -173,11 +173,11 @@ for ( i = 0; i < 10; i++ ) {
 
 #### stdlib_base_dists_bernoulli_quantile( r , p )
 
-Evaluates the quantile function for a Bernoulli distribution with success probability `p` at a value `r`.
+Evaluates the [quantile function][quantile-function] for a [Bernoulli][bernoulli-distribution] distribution with success probability `p` at a value `r`.
 
 ```c
 double y = stdlib_base_dists_bernoulli_quantile( 0.8, 0.4 );
-// returns ~1.0
+// returns 1.0
 ```
 
 The function accepts the following arguments:
@@ -224,10 +224,10 @@ int main( void ) {
     int i;
 
     for ( i = 0; i < 10; i++ ) {
-        r = random_uniform( 0.1, 10.0 );
-        p = random_uniform( 0.1, 10.0 );
+        r = random_uniform( 0.0, 1.0 );
+        p = random_uniform( 0.0, 1.0 );
         y = stdlib_base_dists_bernoulli_quantile( r, p );
-        printf( "r: %lf , p: %lf , Q(r;p): %lf\n", r , p , y );
+        printf( "r: %lf, p: %lf, Q(r;p): %lf\n", r, p, y );
     }
 }
 ```

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

@@ -21,7 +21,8 @@
 // MODULES //
 
 var bench = require( '@stdlib/bench' );
-var randu = require( '@stdlib/random/base/randu' );
+var uniform = require( '@stdlib/random/base/uniform' );
+var Float64Array = require( '@stdlib/array/float64' );
 var isnan = require( '@stdlib/math/base/assert/is-nan' );
 var pkg = require( './../package.json' ).name;
 var quantile = require( './../lib' );
@@ -30,16 +31,23 @@ var quantile = require( './../lib' );
 // MAIN //
 
 bench( pkg, function benchmark( b ) {
+	var len;
 	var p;
 	var r;
 	var y;
 	var i;
 
+	len = 100;
+	r = new Float64Array( len );
+	p = new Float64Array( len );
+	for ( i = 0; i < len; i++ ) {
+		r[ i ] = uniform( 0.0, 1.0 );
+		p[ i ] = uniform( 0.0, 1.0 );
+	}
+
 	b.tic();
 	for ( i = 0; i < b.iterations; i++ ) {
-		r = randu();
-		p = randu();
-		y = quantile( r, p );
+		y = quantile( r[ i % len], p[ i % len ] );
 		if ( isnan( y ) ) {
 			b.fail( 'should not return NaN' );
 		}
@@ -54,6 +62,7 @@ bench( pkg, function benchmark( b ) {
 
 bench( pkg+':factory', function benchmark( b ) {
 	var myquantile;
+	var len;
 	var p;
 	var r;
 	var y;
@@ -62,10 +71,15 @@ bench( pkg+':factory', function benchmark( b ) {
 	p = 0.3;
 	myquantile = quantile.factory( p );
 
+	len = 100;
+	r = new Float64Array( len );
+	for ( i = 0; i < len; i++ ) {
+		r[ i ] = uniform( 0.0, 1.0 );
+	}
+
 	b.tic();
 	for ( i = 0; i < b.iterations; i++ ) {
-		r = randu();
-		y = myquantile( r );
+		y = myquantile( r[ i % len ] );
 		if ( isnan( y ) ) {
 			b.fail( 'should not return NaN' );
 		}

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

@@ -22,7 +22,8 @@
 
 var resolve = require( 'path' ).resolve;
 var bench = require( '@stdlib/bench' );
-var randu = require( '@stdlib/random/base/randu' );
+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 pkg = require( './../package.json' ).name;
@@ -39,16 +40,23 @@ var opts = {
 // MAIN //
 
 bench( pkg+'::native', opts, function benchmark( b ) {
+	var len;
 	var p;
 	var r;
 	var y;
 	var i;
 
+	len = 100;
+	r = new Float64Array( len );
+	p = new Float64Array( len );
+	for ( i = 0; i < len; i++ ) {
+		r[ i ] = uniform( 0.0, 1.0 );
+		p[ i ] = uniform( 0.0, 1.0 );
+	}
+
 	b.tic();
 	for ( i = 0; i < b.iterations; i++ ) {
-		r = randu();
-		p = randu();
-		y = quantile( r, p );
+		y = quantile( r[ i % len], p[ i % len ] );
 		if ( isnan( y ) ) {
 			b.fail( 'should not return NaN' );
 		}

lib/node_modules/@stdlib/stats/base/dists/bernoulli/quantile/benchmark/c/benchmark.c

@@ -93,22 +93,20 @@ static double random_uniform( const double min, const double max ) {
 */
 static double benchmark( void ) {
 	double elapsed;
-    double r[ 100 ];
+	double r[ 100 ];
 	double p[ 100 ];
 	double y;
 	double t;
 	int i;
 
 	for ( i = 0; i < 100; i++ ) {
 		r[ i ] = random_uniform( 0.1, 10.0 );
-	}
-	for ( i = 0; i < 100; i++ ) {
 		p[ i ] = random_uniform( 0.1, 10.0 );
 	}
 
 	t = tic();
 	for ( i = 0; i < ITERATIONS; i++ ) {
-		y = stdlib_base_dists_bernoulli_quantile( r[ i%100 ], p[ i%100 ] );
+		y = stdlib_base_dists_bernoulli_quantile( r[ i % 100 ], p[ i % 100 ] );
 		if ( y != y ) {
 			printf( "should not return NaN\n" );
 			break;

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

@@ -27,14 +27,14 @@ static double random_uniform( const double min, const double max ) {
 
 int main( void ) {
 	double p;
-    double r;
+	double r;
 	double y;
 	int i;
 
 	for ( i = 0; i < 10; i++ ) {
-        r = random_uniform( 0.1, 10.0 );
-		p = random_uniform( 0.1, 10.0 );
+		r = random_uniform( 0.0, 1.0 );
+		p = random_uniform( 0.0, 1.0 );
 		y = stdlib_base_dists_bernoulli_quantile( r, p );
-		printf( "r: %lf , p: %lf , Q(r;p): %lf\n", r , p , y );
+		printf( "r: %lf, p: %lf, Q(r;p): %lf\n", r, p, y );
 	}
 }

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

@@ -28,27 +28,24 @@ var addon = require( './../src/addon.node' );
 /**
 * Evaluates the quantile function for a Bernoulli distribution with success probability `p` at a value `r`.
 *
+* @private
 * @param {Probability} r - input value
 * @param {Probability} p - success probability
 * @returns {NonNegativeInteger} evaluated quantile function
 *
 * @example
-* var v = quantile( 0.8, 0.4 );
+* var y = quantile( 0.8, 0.4 );
 * // returns 1
 *
 * @example
-* var v = quantile( 0.5, 0.4 );
+* var y = quantile( 0.5, 0.4 );
 * // returns 0
 *
 * @example
-* var v = quantile( 0.8, 0.1 );
+* var y = quantile( 0.8, 0.1 );
 * // returns 0
 *
 * @example
-* var y = quantile( NaN, 1.0 );
-* // returns 1
-*
-* @example
 * var y = quantile( -0.2, 0.1 );
 * // returns NaN
 *

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

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

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

@@ -24,44 +24,16 @@
 *
 * @param r    input value
 * @param p    success probability
-* @returns    evaluated quantile function
+* @return     evaluated quantile function
 *
 * @example
 * double y = stdlib_base_dists_bernoulli_quantile( 0.8, 0.4 );
-* // returns ~1.0
-*
-* @example
-* double y = stdlib_base_dists_bernoulli_quantile( 0.5, 0.4 );
-* // returns ~0.0
-*
-* @example
-* double y = stdlib_base_dists_bernoulli_quantile( 0.8, 0.1 );
-* // returns ~0.0
-*
-* @example
-* double y = stdlib_base_dists_bernoulli_quantile( -0.2, 0.1 );
-* // returns NaN
-*
-* @example
-* double y = stdlib_base_dists_bernoulli_quantile( NaN, 0.8 );
-* // returns NaN
-*
-* @example
-* double y = stdlib_base_dists_bernoulli_quantile( 0.4, NaN );
-* // returns NaN
-*
-* @example
-* double y = stdlib_base_dists_bernoulli_quantile( 0.5, -1.0 );
-* // returns NaN
-*
-* @example
-* double y = stdlib_base_dists_bernoulli_quantile( 0.5, 1.5 );
-* // returns NaN
+* // returns 1.0
 */
 double stdlib_base_dists_bernoulli_quantile( const double r, const double p ) {
 	if (
 		stdlib_base_is_nan( p ) ||
-        stdlib_base_is_nan( p ) ||
+		stdlib_base_is_nan( p ) ||
 		p < 0.0 ||
 		p > 1.0 ||
 		r < 0.0 ||