chore: minor clean up

Author: Neerajpathak07

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

@@ -196,15 +196,20 @@ double stdlib_base_dists_bernoulli_cdf( const double x, const double p );
 #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 x;
     double y;
     int i;
 
-    for ( i = 0; i < 25; i++ ) {
-        x = ( (double)rand() / (double)RAND_MAX ) * 5.0;
-        p = ( (double)rand() / (double)RAND_MAX ) ;
+    for ( i = 0; i < 10; i++ ) {
+        x = random_uniform( 0.0, 5.0 );
+        p = random_uniform( 0.0, 1.0 );
         y = stdlib_base_dists_bernoulli_cdf( x, p );
         printf( "x: %lf , p: %1f, F(X;p): %lf\n", x, p , y );
     }

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

@@ -22,6 +22,8 @@
 
 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 cdf = require( './../lib' );
@@ -30,16 +32,25 @@ var cdf = require( './../lib' );
 // MAIN //
 
 bench( pkg, function benchmark( b ) {
+	var len;
 	var p;
 	var x;
 	var y;
 	var i;
 
+	len = 100;
+	x = new Float64Array( len );
+	for ( i = 0; i < len; i++ ) {
+		x[ i ] = uniform( 2.0, 3.0 );
+	}
+	p = new Float64Array( len );
+	for ( i = 0; i < len; i++ ) {
+		p[ i ] = uniform( 0.0, 1.0 );
+	}
+
 	b.tic();
 	for ( i = 0; i < b.iterations; i++ ) {
-		x = ( randu()*3.0 ) - 1.0;
-		p = randu();
-		y = cdf( x, p );
+		y = cdf( x[ i%100 ], p[ i%100 ] );
 		if ( isnan( y ) ) {
 			b.fail( 'should not return NaN' );
 		}

lib/node_modules/@stdlib/stats/base/dists/bernoulli/cdf/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 +40,25 @@ var opts = {
 // MAIN //
 
 bench( pkg+'::native', opts, function benchmark( b ) {
+	var len;
 	var p;
 	var x;
 	var y;
 	var i;
 
+	len = 100;
+	x = new Float64Array( len );
+	for ( i = 0; i < len; i++ ) {
+		x[ i ] = uniform( 2.0, 3.0 );
+	}
+	p = new Float64Array( len );
+	for ( i = 0; i < len; i++ ) {
+		p[ i ] = uniform( 0.0, 1.0 );
+	}
+
 	b.tic();
 	for ( i = 0; i < b.iterations; i++ ) {
-		x = ( randu()*3.0 ) - 1.0;
-		p = randu();
-		y = cdf( x, p );
+		y = cdf( x[ i%100 ], p[ i%100 ] );
 		if ( isnan( y ) ) {
 			b.fail( 'should not return NaN' );
 		}

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

@@ -75,13 +75,15 @@ static double tic( void ) {
 }
 
 /**
-* Generates a random number on the interval [0,1).
+* Generates a random number on the interval [min,max).
 *
-* @return random number
+* @param min    minimum value (inclusive)
+* @param max    maximum value (exclusive)
+* @return       random number
 */
-static double rand_double( void ) {
-	int r = rand();
-	return (double)r / ( (double)RAND_MAX + 1.0 );
+static double random_uniform( const double min, const double max ) {
+	double v = (double)rand() / ( (double)RAND_MAX + 1.0 );
+	return min + ( v * ( max - min ) );
 }
 
 /**
@@ -91,17 +93,22 @@ static double rand_double( void ) {
 */
 static double benchmark( void ) {
 	double elapsed;
-	double p;
-    double x;
+	double p[ 100 ];
+    double x[ 100 ];
 	double y;
 	double t;
 	int i;
 
+	for ( i = 0; i < 100; i++ ) {
+		p[ i ] = random_uniform( 0.1, 10.0 );
+	}
+	for ( i = 0; i < 100; i++ ) {
+		x[ i ] = random_uniform( 2.0, 3.0 );
+	}
+
 	t = tic();
 	for ( i = 0; i < ITERATIONS; i++ ) {
-        x = ( (double)rand() / (double)RAND_MAX )*3.0 - 1.0;
-		p = ( (double)rand() / (double)RAND_MAX ) ;
-		y = stdlib_base_dists_bernoulli_cdf( x, p );
+		y = stdlib_base_dists_bernoulli_cdf( x[ i%100 ], p[ i%100 ] );
 		if ( y != y ) {
 			printf( "should not return NaN\n" );
 			break;

lib/node_modules/@stdlib/stats/base/dists/bernoulli/cdf/docs/repl.txt

@@ -1,7 +1,7 @@
 
 {{alias}}( x, p )
     Evaluates the cumulative distribution function (CDF) for a Bernoulli
-    distribution with success probability `p` at a value `x`.
+    distribution with success probability `p`.
 
     If provided `NaN` as any argument, the function returns `NaN`.
 

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

@@ -20,15 +20,20 @@
 #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 x;
 	double y;
 	int i;
 
-	for ( i = 0; i < 25; i++ ) {
-        x = ( (double)rand() / (double)RAND_MAX ) * 5.0;
-		p = ( (double)rand() / (double)RAND_MAX ) ;
+	for ( i = 0; i < 10; i++ ) {
+        x = random_uniform( 0.0, 5.0 );
+		p = random_uniform( 0.0, 1.0 );
 		y = stdlib_base_dists_bernoulli_cdf( x, p );
 		printf( "x: %lf , p: %1f, F(X;p): %lf\n", x, p , y );
 	}

lib/node_modules/@stdlib/stats/base/dists/bernoulli/cdf/lib/main.js

@@ -26,7 +26,7 @@ var isnan = require( '@stdlib/math/base/assert/is-nan' );
 // MAIN //
 
 /**
-* Evaluates the cumulative distribution function (CDF) for a Bernoulli distribution with success probability `p` at a value `x`.
+* Evaluates the cumulative distribution function (CDF) for a Bernoulli distribution with success probability `p`.
 *
 * @param {number} x - input value
 * @param {Probability} p - success probability

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

@@ -26,7 +26,7 @@ var addon = require( './../src/addon.node' );
 // MAIN //
 
 /**
-* Evaluates the cumulative distribution function (CDF) for a Bernoulli distribution with success probability `p` at a value `x`.
+* Evaluates the cumulative distribution function (CDF) for a Bernoulli distribution with success probability `p`.
 *
 * @param {number} x - input value
 * @param {Probability} p - success probability

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

@@ -20,7 +20,7 @@
 #include "stdlib/math/base/assert/is_nan.h"
 
 /**
-* Evaluates the cumulative distribution function (CDF) for a Bernoulli distribution with success probability `p` at a value `x`.
+* Evaluates the cumulative distribution function (CDF) for a Bernoulli distribution with success probability `p`.
 *
 * @param x    input value
 * @param p    success probability