chore: update random number generation function in triangular/logpdf

PR-URL: #5266

Co-authored-by: Philipp Burckhardt <[email protected]>
Reviewed-by: Philipp Burckhardt <[email protected]>
Signed-off-by: Philipp Burckhardt <[email protected]>

Author: 0PrashantYadav0

lib/node_modules/@stdlib/stats/base/dists/triangular/logpdf/README.md

@@ -134,7 +134,7 @@ y = mylogpdf( 12.0 );
 <!-- eslint no-undef: "error" -->
 
 ```javascript
-var randu = require( '@stdlib/random/base/randu' );
+var uniform = require( '@stdlib/random/base/uniform' );
 var logpdf = require( '@stdlib/stats/base/dists/triangular/logpdf' );
 
 var a;
@@ -145,10 +145,10 @@ var y;
 var i;
 
 for ( i = 0; i < 25; i++ ) {
-    x = randu() * 30.0;
-    a = randu() * 10.0;
-    b = a + (randu() * 40.0);
-    c = a + ((b-a) * randu());
+    x = uniform( 0.0, 30.0 );
+    a = uniform( 0.0, 10.0 );
+    b = uniform( a, a + 40.0 );
+    c = uniform( a, b );
     y = logpdf( x, a, b, c );
     console.log( 'x: %d, a: %d, b: %d, c: %d, ln(f(x;a,b,c)): %d', x.toFixed( 4 ), a.toFixed( 4 ), b.toFixed( 4 ), c.toFixed( 4 ), y.toFixed( 4 ) );
 }

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

@@ -21,7 +21,7 @@
 // MODULES //
 
 var bench = require( '@stdlib/bench' );
-var randu = require( '@stdlib/random/base/randu' );
+var uniform = require( '@stdlib/random/base/uniform' );
 var isnan = require( '@stdlib/math/base/assert/is-nan' );
 var Float64Array = require( '@stdlib/array/float64' );
 var EPS = require( '@stdlib/constants/float64/eps' );
@@ -45,12 +45,11 @@ bench( pkg, function benchmark( b ) {
 	min = new Float64Array( len );
 	max = new Float64Array( len );
 	mode = new Float64Array( len );
-
 	for ( i = 0; i < len; i++ ) {
-		x[ i ] = randu() * 30.0;
-		min[ i ] = randu() * 10.0;
-		max[ i ] = min[ i ] + ( randu() * 40.0 ) + EPS;
-		mode[ i ] = min[ i ] + ( ( max[ i ] - min[ i ] ) * randu() );
+		x[ i ] = uniform( 0.0, 30.0 );
+		min[ i ] = uniform( 0.0, 10.0 );
+		max[ i ] = uniform( min[ i ] + EPS, 40.0 + EPS + min[ i ] );
+		mode[ i ] = uniform( min[ i ], max[ i ] );
 	}
 
 	b.tic();
@@ -73,19 +72,24 @@ bench( pkg+':factory', function benchmark( b ) {
 	var mode;
 	var min;
 	var max;
+	var len;
 	var x;
 	var y;
 	var i;
 
+	len = 100;
 	min = -1.5;
 	max = 1.5;
 	mode = 0.5;
 	mylogpdf = logpdf.factory( min, max, mode );
+	x = new Float64Array( len );
+	for ( i = 0; i < len; i++ ) {
+		x[ i ] = uniform( -2.0, 2.0 );
+	}
 
 	b.tic();
 	for ( i = 0; i < b.iterations; i++ ) {
-		x = ( randu()*2.0 ) - 2.0;
-		y = mylogpdf( x );
+		y = mylogpdf( x[ i%x.length ] );
 		if ( isnan( y ) ) {
 			b.fail( 'should not return NaN' );
 		}

lib/node_modules/@stdlib/stats/base/dists/triangular/logpdf/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 tryRequire = require( '@stdlib/utils/try-require' );
 var EPS = require( '@stdlib/constants/float64/eps' );
@@ -54,12 +54,11 @@ bench( pkg+'::native', opts, function benchmark( b ) {
 	min = new Float64Array( len );
 	max = new Float64Array( len );
 	mode = new Float64Array( len );
-
 	for ( i = 0; i < len; i++ ) {
-		x[ i ] = randu() * 30.0;
-		min[ i ] = randu() * 10.0;
-		max[ i ] = min[ i ] + ( randu() * 40.0 ) + EPS;
-		mode[ i ] = min[ i ] + ( ( max[ i ] - min[ i ] ) * randu() );
+		x[ i ] = uniform( 0.0, 30.0 );
+		min[ i ] = uniform( 0.0, 10.0 );
+		max[ i ] = uniform( min[ i ] + EPS, 40.0 + EPS + min[ i ] );
+		mode[ i ] = uniform( max[ i ], max[ i ] );
 	}
 
 	b.tic();

lib/node_modules/@stdlib/stats/base/dists/triangular/logpdf/examples/index.js

@@ -18,7 +18,7 @@
 
 'use strict';
 
-var randu = require( '@stdlib/random/base/randu' );
+var uniform = require( '@stdlib/random/base/uniform' );
 var logpdf = require( './../lib' );
 
 var a;
@@ -29,10 +29,10 @@ var y;
 var i;
 
 for ( i = 0; i < 25; i++ ) {
-	x = randu() * 30.0;
-	a = randu() * 10.0;
-	b = a + (randu() * 40.0);
-	c = a + ((b-a) * randu());
+	x = uniform( 0.0, 30.0 );
+	a = uniform( 0.0, 10.0 );
+	b = uniform( a, a + 40.0 );
+	c = uniform( a, b );
 	y = logpdf( x, a, b, c );
 	console.log( 'x: %d, a: %d, b: %d, c: %d, ln(f(x;a,b,c)): %d', x.toFixed( 4 ), a.toFixed( 4 ), b.toFixed( 4 ), c.toFixed( 4 ), y.toFixed( 4 ) );
 }