refactor: fix benchmarks and C code style for normal/cdf

Author: Planeshifter

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

@@ -23,7 +23,6 @@
 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 EPS = require( '@stdlib/constants/float64/eps' );
 var pkg = require( './../package.json' ).name;
@@ -41,14 +40,9 @@ bench( pkg, function benchmark( b ) {
 	var i;
 
 	len = 100;
-	x = new Float64Array( len );
-	mu = new Float64Array( len );
-	sigma = new Float64Array( len );
-	for ( i = 0; i < len; i++ ) {
-		x[ i ] = ( randu() * 200.0 ) - 100.0;
-		mu[ i ] = ( randu() * 100.0 ) - 50.0;
-		sigma[ i ] = ( randu() * 20.0 ) + EPS;
-	}
+	x = uniform( len, -100.0, 100.0 );
+	mu = uniform( len, -50.0, 50.0 );
+	sigma = uniform( len, EPS, 20.0 + EPS );
 
 	b.tic();
 	for ( i = 0; i < b.iterations; i++ ) {

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

@@ -23,7 +23,7 @@
 var resolve = require( 'path' ).resolve;
 var bench = require( '@stdlib/bench' );
 var Float64Array = require( '@stdlib/array/float64' );
-var randu = require( '@stdlib/random/base/randu' );
+var uniform = require( '@stdlib/random/array/uniform' );
 var isnan = require( '@stdlib/math/base/assert/is-nan' );
 var tryRequire = require( '@stdlib/utils/try-require' );
 var EPS = require( '@stdlib/constants/float64/eps' );
@@ -49,14 +49,9 @@ bench( pkg, opts, function benchmark( b ) {
 	var i;
 
 	len = 100;
-	x = new Float64Array( len );
-	mu = new Float64Array( len );
-	sigma = new Float64Array( len );
-	for ( i = 0; i < len; i++ ) {
-		x[ i ] = ( randu() * 200.0 ) - 100.0;
-		mu[ i ] = ( randu() * 100.0 ) - 50.0;
-		sigma[ i ] = ( randu() * 20.0 ) + EPS;
-	}
+	x = uniform( len, -100.0, 100.0 );
+	mu = uniform( len, -50.0, 50.0 );
+	sigma = uniform( len, EPS, 20.0 + EPS );
 
 	b.tic();
 	for ( i = 0; i < b.iterations; i++ ) {

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

@@ -31,28 +31,28 @@
 * @return evaluated cumulative distribution function
 *
 * @example
-* double y = stdlib_base_arcsine_cdf( 2.0, 0.0, 1.0 );
+* double y = stdlib_base_dists_normal_cdf( 2.0, 0.0, 1.0 );
 * // returns ~0.977
 */
 double stdlib_base_dists_normal_cdf( const double x, const double mu, const double sigma ) {
 
 	double denom;
-    double xc;
+	double xc;
 
 	if (
-        stdlib_base_is_nan( x ) ||
-        stdlib_base_is_nan( mu ) ||
-        stdlib_base_is_nan( sigma ) ||
-        sigma < 0.0
-    ) {
-        return 0.0/0.0; // NaN
-    }
+		stdlib_base_is_nan( x ) ||
+		stdlib_base_is_nan( mu ) ||
+		stdlib_base_is_nan( sigma ) ||
+		sigma < 0.0
+	) {
+		return 0.0/0.0; // NaN
+	}
 	if ( sigma == 0.0 ) {
-        return (x < mu) ? 0.0 : 1.0;
-    }
+		return (x < mu) ? 0.0 : 1.0;
+	}
 
 	denom = sigma * stdlib_base_sqrt( 2.0 );
-    xc = x - mu;
+	xc = x - mu;
 
 	return 0.5 * stdlib_base_erfc( -xc / denom );
 }