fixes

chore: fix lint issues and reorder requires

bench: fixes a issue in random number generation

Author: AryanJ18

lib/node_modules/@stdlib/stats/base/dists/triangular/ctor/benchmark/benchmark.js

@@ -23,27 +23,28 @@
 var bench = require( '@stdlib/bench' );
 var isnan = require( '@stdlib/math/base/assert/is-nan' );
 var EPS = require( '@stdlib/constants/float64/eps' );
+var Float64Array = require( '@stdlib/array/float64' );
+var uniform = require( '@stdlib/random/base/uniform' );
 var pkg = require( './../package.json' ).name;
 var Triangular = require( './../lib' );
-var uniform = require( '@stdlib/random/base/uniform' );
-var Float64Array = require( '@stdlib/array/float64' );
+
 
 
 // MAIN //
 
 bench( pkg+'::instantiation', function benchmark( bm ) {
+	var as = new Float64Array(bm.iterations);
+	var bs = new Float64Array(bm.iterations);
+	var cs = new Float64Array(bm.iterations);
 	var dist;
 	var a;
 	var b;
 	var c;
 	var i;
-	var as = new Float64Array(bm.iterations);
-	var bs = new Float64Array(bm.iterations);
-	var cs = new Float64Array(bm.iterations);
-	for( i = 0; i<bm.iterations; i++){
-		a = uniform(EPS , 10.0);
-		b = uniform(a + EPS , a + 10.0);
-		c = uniform(a , b);
+	for ( i = 0; i < bm.iterations; i++ ) {
+		a = uniform(EPS, 10.0);
+		b = uniform(a + EPS, a + 10.0);
+		c = uniform(a, b);
 		as[i] = a;
 		bs[i] = b;
 		cs[i] = c;
@@ -110,7 +111,7 @@ bench( pkg+'::set:a', function benchmark( bm ) {
 
 	bm.tic();
 	for ( i = 0; i < bm.iterations; i++ ) {
-		y = uniform(EPS , 100.0);
+		y = uniform(EPS, 100.0);
 		dist.a = y;
 		if ( dist.a !== y ) {
 			bm.fail( 'should return set value' );
@@ -167,7 +168,7 @@ bench( pkg+'::set:b', function benchmark( bm ) {
 
 	bm.tic();
 	for ( i = 0; i < bm.iterations; i++ ) {
-		y = uniform(EPS+c , 100.0+c+EPS);
+		y = uniform(EPS+c, 100.0+c+EPS);
 		dist.b = y;
 		if ( dist.b !== y ) {
 			bm.fail( 'should return set value' );
@@ -224,7 +225,7 @@ bench( pkg+'::set:c', function benchmark( bm ) {
 
 	bm.tic();
 	for ( i = 0; i < bm.iterations; i++ ) {
-		y = uniform(a , b);
+		y = uniform(a, b);
 		dist.c = y;
 		if ( dist.c !== y ) {
 			bm.fail( 'should return set value' );
@@ -253,7 +254,7 @@ bench( pkg+':entropy', function benchmark( bm ) {
 
 	bm.tic();
 	for ( i = 0; i < bm.iterations; i++ ) {
-		dist.a = uniform(0,c);
+		dist.a = uniform(0, c);
 		y = dist.entropy;
 		if ( isnan( y ) ) {
 			bm.fail( 'should not return NaN' );
@@ -282,7 +283,7 @@ bench( pkg+':kurtosis', function benchmark( bm ) {
 
 	bm.tic();
 	for ( i = 0; i < bm.iterations; i++ ) {
-		dist.a = uniform(0.0 , c);
+		dist.a = uniform(0.0, c);
 		y = dist.kurtosis;
 		if ( isnan( y ) ) {
 			bm.fail( 'should not return NaN' );
@@ -311,7 +312,7 @@ bench( pkg+':mean', function benchmark( bm ) {
 
 	bm.tic();
 	for ( i = 0; i < bm.iterations; i++ ) {
-		dist.a = uniform(0.0 , c);
+		dist.a = uniform(0.0, c);
 		y = dist.mean;
 		if ( isnan( y ) ) {
 			bm.fail( 'should not return NaN' );
@@ -340,7 +341,7 @@ bench( pkg+':median', function benchmark( bm ) {
 
 	bm.tic();
 	for ( i = 0; i < bm.iterations; i++ ) {
-		dist.a = uniform(0.0 , c);
+		dist.a = uniform(0.0, c);
 		y = dist.median;
 		if ( isnan( y ) ) {
 			bm.fail( 'should not return NaN' );
@@ -369,7 +370,7 @@ bench( pkg+':skewness', function benchmark( bm ) {
 
 	bm.tic();
 	for ( i = 0; i < bm.iterations; i++ ) {
-		dist.a = uniform(0.0 , c);
+		dist.a = uniform(0.0, c);
 		y = dist.skewness;
 		if ( isnan( y ) ) {
 			bm.fail( 'should not return NaN' );
@@ -398,7 +399,7 @@ bench( pkg+':stdev', function benchmark( bm ) {
 
 	bm.tic();
 	for ( i = 0; i < bm.iterations; i++ ) {
-		dist.a = uniform(0.0 , c);
+		dist.a = uniform(0.0, c);
 		y = dist.stdev;
 		if ( isnan( y ) ) {
 			bm.fail( 'should not return NaN' );
@@ -427,7 +428,7 @@ bench( pkg+':variance', function benchmark( bm ) {
 
 	bm.tic();
 	for ( i = 0; i < bm.iterations; i++ ) {
-		dist.a = uniform(0.0 , c);
+		dist.a = uniform(0.0, c);
 		y = dist.variance;
 		if ( isnan( y ) ) {
 			bm.fail( 'should not return NaN' );
@@ -457,7 +458,7 @@ bench( pkg+':cdf', function benchmark( bm ) {
 
 	bm.tic();
 	for ( i = 0; i < bm.iterations; i++ ) {
-		x = uniform(0.0 , 60.0);
+		x = uniform(0.0, 60.0);
 		y = dist.cdf( x );
 		if ( isnan( y ) ) {
 			bm.fail( 'should not return NaN' );
@@ -487,7 +488,7 @@ bench( pkg+':mgf', function benchmark( bm ) {
 
 	bm.tic();
 	for ( i = 0; i < bm.iterations; i++ ) {
-		x = uniform(0.0 , 1.0);
+		x = uniform(0.0, 1.0);
 		y = dist.mgf( x );
 		if ( isnan( y ) ) {
 			bm.fail( 'should not return NaN' );
@@ -517,7 +518,7 @@ bench( pkg+':pdf', function benchmark( bm ) {
 
 	bm.tic();
 	for ( i = 0; i < bm.iterations; i++ ) {
-		x = uniform(0.0 , 60.0);
+		x = uniform(0.0, 60.0);
 		y = dist.pdf( x );
 		if ( isnan( y ) ) {
 			bm.fail( 'should not return NaN' );
@@ -547,7 +548,7 @@ bench( pkg+':quantile', function benchmark( bm ) {
 
 	bm.tic();
 	for ( i = 0; i < bm.iterations; i++ ) {
-		x = uniform(0.0 , 1.0);
+		x = uniform(0.0, 1.0);
 		y = dist.quantile( x );
 		if ( isnan( y ) ) {
 			bm.fail( 'should not return NaN' );

lib/node_modules/@stdlib/stats/base/dists/triangular/entropy/benchmark/benchmark.native.js

@@ -55,7 +55,7 @@ bench( pkg+'::native', opts, function benchmark( b ) {
 	for ( i = 0; i < len; i++ ) {
 		min[ i ] = ( uniform(0.0 , 10.0) );
 		max[ i ] = uniform(min[ i ] + EPS,10.0+min[ i ] + EPS);
-		mode[ i ] = uniform(min[ i ] + max[ i ]);
+		mode[ i ] = uniform(min[ i ] , max[ i ]);
 	}
 
 	b.tic();

lib/node_modules/@stdlib/stats/base/dists/triangular/pdf/benchmark/benchmark.js

@@ -23,8 +23,8 @@
 var bench = require( '@stdlib/bench' );
 var isnan = require( '@stdlib/math/base/assert/is-nan' );
 var Float64Array = require( '@stdlib/array/float64' );
-var uniform = require( '@stdlib/random/base/uniform' );
 var EPS = require( '@stdlib/constants/float64/eps' );
+var uniform = require( '@stdlib/random/base/uniform' );
 var pkg = require( './../package.json' ).name;
 var pdf = require( './../lib' );