fix: using uniform in place of randu

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Author: Vinit-Pandit

lib/node_modules/@stdlib/stats/base/dists/cauchy/logpdf/benchmark/benchmark.js

@@ -22,7 +22,7 @@
 
 var bench = require( '@stdlib/bench' );
 var Float64Array = require( '@stdlib/array/float64' );
-var randu = require( '@stdlib/random/base/randu' );
+var uniform = require( '@stdlib/random/base/uniform' );
 var isnan = require( '@stdlib/math/base/assert/is-nan' );
 var EPS = require( '@stdlib/constants/float64/eps' );
 var pkg = require( './../package.json' ).name;
@@ -44,9 +44,9 @@ bench( pkg, function benchmark( b ) {
 	x0 = new Float64Array( len );
 	gamma = new Float64Array( len );
 	for ( i = 0; i < len; i++ ) {
-		x[ i ] = ( randu()*200.0 ) - 100.0;
-		x0[ i ] = ( randu()*100.0 ) - 50.0;
-		gamma[ i ] = ( randu()*20.0 ) + EPS;
+		x[ i ] = uniform( -100, 100 );
+		x0[ i ] = uniform( -50, 50 );
+		gamma[ i ] = uniform( EPS, 20 );
 	}
 
 	b.tic();
@@ -78,7 +78,7 @@ bench( pkg+':factory', function benchmark( b ) {
 
 	b.tic();
 	for ( i = 0; i < b.iterations; i++ ) {
-		x = ( randu()*100.0 ) + EPS;
+		x = uniform( EPS, 100 );
 		y = mylogpdf( x );
 		if ( isnan( y ) ) {
 			b.fail( 'should not return NaN' );

lib/node_modules/@stdlib/stats/base/dists/cauchy/logpdf/benchmark/benchmark.native.js

@@ -24,7 +24,7 @@ var resolve = require( 'path' ).resolve;
 var bench = require( '@stdlib/bench' );
 var Float64Array = require( '@stdlib/array/float64' );
 var EPS = require( '@stdlib/constants/float64/eps' );
-var randu = require( '@stdlib/random/base/randu' );
+var uniform = require( '@stdlib/random/base/uniform' );
 var isnan = require( '@stdlib/math/base/assert/is-nan' );
 var tryRequire = require( '@stdlib/utils/try-require' );
 var pkg = require( './../package.json' ).name;
@@ -53,9 +53,9 @@ bench( pkg+'::native', opts, function benchmark( b ) {
 	x0 = new Float64Array( len );
 	gamma = new Float64Array( len );
 	for ( i = 0; i < len; i++ ) {
-		x[ i ] = ( randu()*200.0 ) - 100.0;
-		x0[ i ] = ( randu()*100.0 ) - 50.0;
-		gamma[ i ] = ( randu()*20.0 ) + EPS;
+		x[ i ] = uniform( -100, 100 );
+		x0[ i ] = uniform( -50, 50 );
+		gamma[ i ] = uniform( EPS, 20 );
 	}
 
 	b.tic();

lib/node_modules/@stdlib/stats/base/dists/cauchy/logpdf/benchmark/c/benchmark.c

@@ -104,7 +104,7 @@ static double benchmark( void ) {
 	for ( i = 0; i < 100; i++ ) {
 		x[ i ] = random_uniform( -100.0 , 100.0 );
 		x0[ i ] = random_uniform( -50.0, 50.0 );
-		gamma[ i ] = random_uniform( 0.0, 20.0 ) + STDLIB_CONSTANT_FLOAT64_EPS;
+		gamma[ i ] = random_uniform( STDLIB_CONSTANT_FLOAT64_EPS, 20.0 );
 	}
 
 	t = tic();