chore: remove EPS addition and directly draw from desired distribution

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Author: Planeshifter

lib/node_modules/@stdlib/stats/base/dists/beta/variance/README.md

@@ -223,8 +223,8 @@ int main( void ) {
     double y;
     int i;
     for ( i = 0; i < 25; i++ ) {
-        alpha = random_uniform( 0.0, 10.0 ) + STDLIB_CONSTANT_FLOAT64_EPS;
-        beta = random_uniform( 0.0, 10.0 ) + STDLIB_CONSTANT_FLOAT64_EPS;
+        alpha = random_uniform( STDLIB_CONSTANT_FLOAT64_EPS, 10.0 );
+        beta = random_uniform( STDLIB_CONSTANT_FLOAT64_EPS, 10.0 );
         y = stdlib_base_dists_beta_variance( alpha, beta );
         printf( "α: %lf, β: %lf, Var(X;α,β): %lf\n", alpha, beta, y );
     }

lib/node_modules/@stdlib/stats/base/dists/chi/mode/benchmark/benchmark.js

@@ -24,7 +24,6 @@ var bench = require( '@stdlib/bench' );
 var randu = require( '@stdlib/random/base/randu' );
 var Float64Array = require( '@stdlib/array/float64' );
 var isnan = require( '@stdlib/math/base/assert/is-nan' );
-var EPS = require( '@stdlib/constants/float64/eps' );
 var pkg = require( './../package.json' ).name;
 var mode = require( './../lib' );
 
@@ -40,7 +39,7 @@ bench( pkg, function benchmark( b ) {
 	len = 100;
 	k = new Float64Array( len );
 	for ( i = 0; i < len; i++ ) {
-		k[ i ] = ( randu()*20.0 ) + 1.0 + EPS;
+		k[ i ] = ( randu()*20.0 ) + 1.0;
 	}
 
 	b.tic();

lib/node_modules/@stdlib/stats/base/dists/chi/mode/benchmark/c/benchmark.c

@@ -17,7 +17,6 @@
 */
 
 #include "stdlib/stats/base/dists/chi/mode.h"
-#include "stdlib/constants/float64/eps.h"
 #include <stdlib.h>
 #include <stdio.h>
 #include <math.h>
@@ -100,7 +99,7 @@ static double benchmark( void ) {
 	int i;
 
 	for ( i = 0; i < 100; i++ ) {
-		k[ i ] = random_uniform( 0.0, 20.0 ) + 1.0 + STDLIB_CONSTANT_FLOAT64_EPS;
+		k[ i ] = random_uniform( 1.0, 21.0 );
 	}
 
 	t = tic();

lib/node_modules/@stdlib/stats/base/dists/chi/mode/manifest.json

@@ -56,8 +56,7 @@
       "libpath": [],
       "dependencies": [
         "@stdlib/math/base/assert/is-nan",
-        "@stdlib/math/base/special/sqrt",
-        "@stdlib/constants/float64/eps"
+        "@stdlib/math/base/special/sqrt"
       ]
     },
     {

lib/node_modules/@stdlib/stats/base/dists/t/kurtosis/benchmark/c/benchmark.c

@@ -17,7 +17,6 @@
 */
 
 #include "stdlib/stats/base/dists/t/kurtosis.h"
-#include "stdlib/constants/float64/eps.h"
 #include <stdlib.h>
 #include <stdio.h>
 #include <math.h>
@@ -100,7 +99,7 @@ static double benchmark( void ) {
 	int i;
 
 	for ( i = 0; i < 100; i++ ) {
-		v[ i ] = random_uniform( 0.0, 20.0 ) + 2.0 + STDLIB_CONSTANT_FLOAT64_EPS;
+		v[ i ] = random_uniform( 2.0, 22.0 );
 	}
 
 	t = tic();

lib/node_modules/@stdlib/stats/base/dists/t/kurtosis/manifest.json

@@ -56,8 +56,7 @@
       "libpath": [],
       "dependencies": [
         "@stdlib/math/base/assert/is-nan",
-        "@stdlib/constants/float64/pinf",
-        "@stdlib/constants/float64/eps"
+        "@stdlib/constants/float64/pinf"
       ]
     },
     {

lib/node_modules/@stdlib/stats/base/dists/t/skewness/benchmark/c/benchmark.c

@@ -99,7 +99,7 @@ static double benchmark( void ) {
 	int i;
 
 	for ( i = 0; i < 100; i++ ) {
-		v[ i ] = random_uniform( 0.0, 20.0 ) + 3.0;
+		v[ i ] = random_uniform( 3.0, 23.0 );
 	}
 
 	t = tic();

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

@@ -239,7 +239,7 @@ int main( void ) {
     for ( i = 0; i < 25; i++ ) {
         x = random_uniform( 0.0, 30.0 );
         a = random_uniform( 0.0, 10.0 );
-        b = random_uniform( a, 40.0 ) + STDLIB_CONSTANT_FLOAT64_EPS;
+        b = random_uniform( a+STDLIB_CONSTANT_FLOAT64_EPS, 40.0 );
         c = a + random_uniform( 0.0, b - a );
         y = stdlib_base_dists_triangular_pdf( x, a, b, c );
         printf( "x: %lf, a: %lf, b: %lf, c: %lf, f(x;a,b,c): %lf\n", x, a, b, c, y );

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

@@ -105,7 +105,7 @@ static double benchmark( void ) {
 	for ( i = 0; i < 100; i++ ) {
 		x[ i ] = random_uniform( 0.0, 30.0 );
 		a[ i ] = random_uniform( 0.0, 10.0 );
-		b[ i ] = random_uniform( a[ i ], 40.0 ) + STDLIB_CONSTANT_FLOAT64_EPS;
+		b[ i ] = random_uniform( a[ i ] + STDLIB_CONSTANT_FLOAT64_EPS, 40.0 );
 		c[ i ] = random_uniform( a[ i ], b[ i ] );
 	}