refactor: updates file with uniform and values

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Author: saurabhraghuvanshii

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

@@ -173,7 +173,7 @@ for ( i = 0; i < 10; i++ ) {
 
 #### stdlib_base_dists_levy_quantile( p, mu, c )
 
-Returns the [quantile function][quantile-function] for a [Lévy][levy-distribution] distribution with parameters `mu` (location parameter) and `c` (scale parameter) at a probability `p`.
+Returns the quantile function for a Lévy distribution with location parameter `mu`  and scale parameter `c`.
 
 ```c
 double out = stdlib_base_dists_levy_quantile( 1.1, 0.0, 1.0 );

lib/node_modules/@stdlib/stats/base/dists/levy/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;
@@ -44,9 +44,9 @@ bench( pkg, function benchmark( b ) {
 	mu = new Float64Array( len );
 	c = new Float64Array( len );
 	for ( i = 0; i < len; i++ ) {
-		p[ i ] = randu();
-		mu[ i ] = ( randu() * 20.0 ) - 10.0;
-		c[ i ] = ( randu() * 5.0 ) + EPS;
+		p[ i ] = uniform( 0.0, 1.0 );
+		mu[ i ] = uniform( -10.0, 10.0 );
+		c[ i ] = uniform( EPS, 5.0 );
 	}
 
 	b.tic();
@@ -78,7 +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/levy/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 );
 	c = new Float64Array( len );
 	for ( i = 0; i < len; i++ ) {
-		p[ i ] = randu();
-		mu[ i ] = ( randu() * 20.0 ) - 10.0;
-		c[ i ] = ( randu() * 5.0 ) + EPS;
+		p[ i ] = uniform( 0.0, 1.0 );
+		mu[ i ] = uniform( -10.0, 10.0 );
+		c[ i ] = uniform( EPS, 5.0 );
 	}
 
 	b.tic();

lib/node_modules/@stdlib/stats/base/dists/levy/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, 100.0 );
-		mu[ i ] = random_uniform( 0.0, 100.0 ) - 50.0;
-		c[ i ] = random_uniform( 0.0, 20.0 ) + STDLIB_CONSTANT_FLOAT64_EPS;
+		mu[ i ] = random_uniform( -50.0, 50.0 );
+		c[ i ] = random_uniform( STDLIB_CONSTANT_FLOAT64_EPS, 20.0 );
 	}
 
 	t = tic();

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

@@ -33,9 +33,9 @@ int main( void ) {
 	int i;
 
 	for ( i = 0; i < 25; i++ ) {
-		p = random_uniform( 0.0, 10.0 );
-		mu = random_uniform( 0.0, 10.0 ) - 5.0;
-		c = random_uniform( 0.0, 20.0 );
+		p = random_uniform( 0.0, 1.0 );
+		mu = random_uniform( 0.0, 10.0 );
+		c = random_uniform( 0.0, 10.0 );
 		y = stdlib_base_dists_levy_quantile( p, mu, c );
 		printf( "p:%lf, µ: %lf, c: %lf, Q(p;µ,c): %lf\n", p, mu, c, y );
 	}

lib/node_modules/@stdlib/stats/base/dists/levy/quantile/manifest.json

@@ -59,11 +59,11 @@
         "libpath": [],
         "dependencies": [
           "@stdlib/math/base/assert/is-nan",
-          "@stdlib/constants/float64/eps",
           "@stdlib/math/base/special/erfcinv",
           "@stdlib/constants/float64/ninf",
           "@stdlib/constants/float64/pinf",
-          "@stdlib/constants/float64/eps"
+          "@stdlib/constants/float64/eps",
+          "@stdlib/random/base/uniform"
         ]
       },
       {

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

@@ -23,9 +23,9 @@
 /**
 * Returns the quantile for a Lévy distribution with location `mu` and scale `c`.
 *
-* @param p	 input value
-* @param mu	location parameter
-* @param c	 scale parameter
+* @param p	  input value
+* @param mu	  location parameter
+* @param c	  scale parameter
 * @return	  evaluated quantile function
 *
 * @example