fix: using uniform in place of randu and fixing mistake in c

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Author: Vinit-Pandit

lib/node_modules/@stdlib/stats/base/dists/gumbel/mgf/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 ) {
 	mu = new Float64Array( len );
 	t = new Float64Array( len );
 	for ( i = 0; i < len; i++ ) {
-		mu[ i ] = ( randu() * 100.0 ) - 50.0;
-		beta[ i ] = ( randu() * 20.0 ) + EPS;
-		t[ i ] = ( randu() * ( 1.0 / beta[ i ] ) );
+		mu[ i ] = uniform( -50.0, 50.0 );
+		beta[ i ] = uniform( EPS, 20.0 );
+		t[ i ] = uniform( 0.0, ( 1.0 / beta[ i ] ) );
 	}
 
 	b.tic();
@@ -78,7 +78,7 @@ bench( pkg+':factory', function benchmark( b ) {
 
 	b.tic();
 	for ( i = 0; i < b.iterations; i++ ) {
-		t = randu() * (1.0/beta);
+		t = uniform( 0.0, 1.0/beta );
 		y = mymgf( t );
 		if ( isnan( y ) ) {
 			b.fail( 'should not return NaN' );

lib/node_modules/@stdlib/stats/base/dists/gumbel/mgf/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/base/uniform' );
 var isnan = require( '@stdlib/math/base/assert/is-nan' );
 var EPS = require( '@stdlib/constants/float64/eps' );
 var tryRequire = require( '@stdlib/utils/try-require' );
@@ -53,9 +53,9 @@ bench( pkg+'::native', opts, function benchmark( b ) {
 	mu = new Float64Array( len );
 	t = new Float64Array( len );
 	for ( i = 0; i < len; i++ ) {
-		mu[ i ] = ( randu() * 100.0 ) - 50.0;
-		beta[ i ] = ( randu() * 20.0 ) + EPS;
-		t[ i ] = ( randu() * ( 1.0 / beta[ i ] ) );
+		mu[ i ] = uniform( -50.0, 50.0 );
+		beta[ i ] = uniform( EPS, 20.0 );
+		t[ i ] = uniform( 0.0, ( 1.0 / beta[ i ] ) );
 	}
 
 	b.tic();

lib/node_modules/@stdlib/stats/base/dists/gumbel/mgf/benchmark/c/benchmark.c

@@ -103,7 +103,7 @@ static double benchmark( void ) {
 
 	for ( i = 0; i < 100; i++ ) {
 		mu[ i ] = random_uniform( -50.0, 50.0 );
-		beta[ i ] = random_uniform( STDLIB_CONSTANT_FLOAT64_EPS, STDLIB_CONSTANT_FLOAT64_EPS + 20.0 );
+		beta[ i ] = random_uniform( STDLIB_CONSTANT_FLOAT64_EPS, 20.0 );
 		_t[ i ] = random_uniform( 1.0 / beta[ i ], 0 );
 	}
 

lib/node_modules/@stdlib/stats/base/dists/gumbel/mgf/src/main.c

@@ -43,5 +43,5 @@ double stdlib_base_dists_gumbel_mgf( const double t, const double mu, const doub
 	) {
 		return 0.0/0.0; // NaN
 	}
-	return stdlib_base_gamma( 1.0 - ( beta * t ) * stdlib_base_exp( mu * t ) );
+	return stdlib_base_gamma( 1.0 - ( beta * t ) ) * stdlib_base_exp( mu * t );
 }