fix: update examples and benchmarks to use proper uniform distribution ranges

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---

Author: Planeshifter

lib/node_modules/@stdlib/stats/base/dists/gumbel/quantile/README.md

@@ -126,7 +126,8 @@ y = myquantile( 0.8 );
 <!-- eslint no-undef: "error" -->
 
 ```javascript
-var randu = require( '@stdlib/random/base/randu' );
+var uniform = require( '@stdlib/random/base/uniform' );
+var EPS = require( '@stdlib/constants/float64/eps' );
 var quantile = require( '@stdlib/stats/base/dists/gumbel/quantile' );
 
 var beta;
@@ -136,9 +137,9 @@ var y;
 var i;
 
 for ( i = 0; i < 100; i++ ) {
-    p = randu();
-    mu = randu() * 10.0;
-    beta = randu() * 10.0;
+    p = uniform( 0.0, 1.0 );
+    mu = uniform( -5.0, 5.0 );
+    beta = uniform( EPS, 10.0 );
     y = quantile( p, mu, beta );
     console.log( 'p: %d, µ: %d, β: %d, Q(p;µ,β): %d', p.toFixed( 4 ), mu.toFixed( 4 ), beta.toFixed( 4 ), y.toFixed( 4 ) );
 }
@@ -219,6 +220,7 @@ double stdlib_base_dists_gumbel_quantile( const double p, const double mu, const
 
 ```c
 #include "stdlib/stats/base/dists/gumbel/quantile.h"
+#include "stdlib/constants/float64/eps.h"
 #include <stdlib.h>
 #include <stdio.h>
 
@@ -236,8 +238,8 @@ int main( void ) {
 
     for ( i = 0; i < 25; i++ ) {
         p = random_uniform( 0.0, 1.0 );
-        mu = random_uniform( 0.0, 10.0 ) - 5.0;
-        beta = random_uniform( 0.0, 20.0 );
+        mu = random_uniform( -5.0, 5.0 );
+        beta = random_uniform( STDLIB_CONSTANT_FLOAT64_EPS, 20.0 );
         y = stdlib_base_dists_gumbel_quantile( p, mu, beta );
         printf( "p: %lf, mu: %lf, beta: %lf, Q(p;mu,beta): %lf\n", p, mu, beta, y );
     }

lib/node_modules/@stdlib/stats/base/dists/gumbel/quantile/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;
@@ -40,12 +40,13 @@ bench( pkg, function benchmark( b ) {
 	var i;
 
 	len = 100;
+	p = new Float64Array( len );
 	mu = new Float64Array( len );
 	beta = new Float64Array( len );
 	for ( i = 0; i < len; i++ ) {
-		p = randu();
-		mu[ i ] = ( randu() * 100.0 ) - 50.0;
-		beta[ i ] = ( randu() * 20.0 ) + EPS;
+		p[ i ] = uniform( 0.0, 1.0 );
+		mu[ i ] = uniform( -50.0, 50.0 );
+		beta[ i ] = uniform( EPS, 20.0 );
 	}
 
 	b.tic();
@@ -77,7 +78,7 @@ bench( pkg+':factory', function benchmark( b ) {
 
 	b.tic();
 	for ( i = 0; i < b.iterations; i++ ) {
-		p = randu();
+		p = uniform( 0.0, 1.0 );
 		y = myquantile( p );
 		if ( isnan( y ) ) {
 			b.fail( 'should not return NaN' );

lib/node_modules/@stdlib/stats/base/dists/gumbel/quantile/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 tryRequire = require( '@stdlib/utils/try-require' );
-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;
@@ -53,9 +53,9 @@ bench( pkg+'::native', opts, function benchmark( b ) {
 	mu = new Float64Array( len );
 	beta = new Float64Array( len );
 	for ( i = 0; i < len; i++ ) {
-		p[ i ] = randu();
-		mu[ i ] = ( randu() * 100.0 ) - 50.0;
-		beta[ i ] = ( randu() * 20.0 ) + EPS;
+		p[ i ] = uniform( 0.0, 1.0 );
+		mu[ i ] = uniform( -50.0, 50.0 );
+		beta[ i ] = uniform( EPS, 20.0 );
 	}
 
 	b.tic();

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

@@ -103,8 +103,8 @@ static double benchmark( void ) {
 
 	for ( i = 0; i < 100; i++ ) {
         p[ i ] = random_uniform( 0.0, 1.0 );
-		mu[ i ] = random_uniform( 0.0, 100.0 ) - 50.0;
-		beta[ i ] = random_uniform( 0.0, 20.0 ) + STDLIB_CONSTANT_FLOAT64_EPS;
+		mu[ i ] = random_uniform( -50.0, 50.0 );
+		beta[ i ] = random_uniform( STDLIB_CONSTANT_FLOAT64_EPS, 20.0 );
 	}
 
 	t = tic();

lib/node_modules/@stdlib/stats/base/dists/gumbel/quantile/examples/c/example.c

@@ -17,6 +17,7 @@
 */
 
 #include "stdlib/stats/base/dists/gumbel/quantile.h"
+#include "stdlib/constants/float64/eps.h"
 #include <stdlib.h>
 #include <stdio.h>
 
@@ -34,8 +35,8 @@ int main( void ) {
 
 	for ( i = 0; i < 25; i++ ) {
         p = random_uniform( 0.0, 1.0 );
-		mu = random_uniform( 0.0, 10.0 ) - 5.0;
-		beta = random_uniform( 0.0, 20.0 );
+		mu = random_uniform( -5.0, 5.0 );
+		beta = random_uniform( STDLIB_CONSTANT_FLOAT64_EPS, 20.0 );
 		y = stdlib_base_dists_gumbel_quantile( p, mu, beta );
 		printf( "p: %lf, mu: %lf, beta: %lf, Q(p;mu,beta): %lf\n", p, mu, beta, y );
 	}

lib/node_modules/@stdlib/stats/base/dists/gumbel/quantile/examples/index.js

@@ -18,7 +18,8 @@
 
 'use strict';
 
-var randu = require( '@stdlib/random/base/randu' );
+var uniform = require( '@stdlib/random/base/uniform' );
+var EPS = require( '@stdlib/constants/float64/eps' );
 var quantile = require( './../lib' );
 
 var beta;
@@ -28,9 +29,9 @@ var y;
 var i;
 
 for ( i = 0; i < 100; i++ ) {
-	p = randu();
-	mu = randu() * 10.0;
-	beta = randu() * 10.0;
+	p = uniform( 0.0, 1.0 );
+	mu = uniform( -5.0, 5.0 );
+	beta = uniform( EPS, 10.0 );
 	y = quantile( p, mu, beta );
 	console.log( 'p: %d, µ: %d, β: %d, Q(p;µ,β): %d', p.toFixed( 4 ), mu.toFixed( 4 ), beta.toFixed( 4 ), y.toFixed( 4 ) );
 }

lib/node_modules/@stdlib/stats/base/dists/gumbel/quantile/include/stdlib/stats/base/dists/gumbel/quantile.h

@@ -27,7 +27,7 @@ extern "C" {
 #endif
 
 /**
-* Returns the quantile for a Gumbel distribution with location `mu` and scale `beta`.
+* Evaluates the quantile function for a Gumbel distribution with location `mu` and scale `beta`.
 */
 double stdlib_base_dists_gumbel_quantile( const double p, const double mu, const double beta );
 

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

@@ -21,12 +21,12 @@
 #include "stdlib/math/base/special/ln.h"
 
 /**
-* Returns the quantile for a Gumbel distribution with location `mu` and scale `beta`.
+* Evaluates the quantile function for a Gumbel distribution with location `mu` and scale `beta`.
 *
 * @param p     probability
 * @param mu    location parameter
 * @param beta  scale parameter
-* @return      quantile
+* @return      evaluated quantile
 *
 * @example
 * double y = stdlib_base_dists_gumbel_quantile( 0.8, 0.0, 1.0 );