fix: lint error

Author: Neerajpathak07

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

@@ -230,24 +230,24 @@ element and another before the `/section` close. -->
 #include <stdio.h>
 
 static double random_uniform( const double min, const double max ) {
-	double v = (double)rand() / ( (double)RAND_MAX + 1.0 );
-	return min + ( v*(max-min) );
+    double v = (double)rand() / ( (double)RAND_MAX + 1.0 );
+    return min + ( v*(max-min) );
 }
 
 int main( void ) {
-	double alpha;
-	double beta;
-	double x;
-	double y;
-	int i;
-
-	for ( i = 0; i < 10; i++ ) {
-		x = random_uniform( 0.0, 1.0 );
-		alpha = random_uniform( STDLIB_CONSTANT_FLOAT64_EPS, 5.0 );
-		beta = random_uniform( STDLIB_CONSTANT_FLOAT64_EPS, 5.0 );
-		y = stdlib_base_dists_betaprime_pdf( x, alpha, beta );
-		printf( "x: %1f, α: %1f, β: %1f, f(x;α,β): %lf\n", x, alpha, beta, y );
-	}
+    double alpha;
+    double beta;
+    double x;
+    double y;
+    int i;
+
+    for ( i = 0; i < 10; i++ ) {
+        x = random_uniform( 0.0, 1.0 );
+        alpha = random_uniform( STDLIB_CONSTANT_FLOAT64_EPS, 5.0 );
+        beta = random_uniform( STDLIB_CONSTANT_FLOAT64_EPS, 5.0 );
+        y = stdlib_base_dists_betaprime_pdf( x, alpha, beta );
+        printf( "x: %1f, α: %1f, β: %1f, f(x;α,β): %lf\n", x, alpha, beta, y );
+    }
 }
 ```
 

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

@@ -83,8 +83,8 @@ static double tic( void ) {
 * @return       random number
 */
 static double random_uniform( const double min, const double max ) {
-    double v = (double)rand() / ( (double)RAND_MAX + 1.0 );
-    return min + ( v*(max-min) );
+	double v = (double)rand() / ( (double)RAND_MAX + 1.0 );
+	return min + ( v*(max-min) );
 }
 
 /**

lib/node_modules/@stdlib/stats/base/dists/betaprime/pdf/src/main.c

@@ -21,7 +21,7 @@
 #include "stdlib/math/base/assert/is_nan.h"
 #include "stdlib/math/base/special/exp.h"
 
-/*	
+/*
 * Evaluates the probability density function (PDF) for a beta prime distribution with first shape parameter `alpha` and second shape parameter `beta`.
 *
 * @param x        input value