chore: stuff from code review

Author: Neerajpathak07

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

@@ -201,7 +201,7 @@ Evaluates the natural logarithm of the probability density function (logPDF) for
 
 ```c
 double y = stdlib_base_dists_beta_logpdf( 0.5, 1.0, 1.0 );
-// returns ~0.0
+// returns 0.0
 ```
 
 The function accepts the following arguments:
@@ -256,7 +256,7 @@ int main( void ) {
         alpha = random_uniform( STDLIB_CONSTANT_FLOAT64_EPS, 5.0 );
         beta = random_uniform( STDLIB_CONSTANT_FLOAT64_EPS, 5.0 );
         y = stdlib_base_dists_beta_logpdf( x, alpha, beta );
-        printf( "x: %1f, α: %1f, β: %1f, ln(f(x;α,β)): %lf\n", x, alpha, beta, y );
+        printf( "x: %1f. α: %1f. β: %1f. ln(f(x;α,β)): %lf\n", x, alpha, beta, y );
     }
 }
 ```

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

@@ -41,15 +41,11 @@ bench( pkg, function benchmark( b ) {
 
 	len = 100;
 	alpha = new Float64Array( len );
-	for ( i = 0; i < len; i++ ) {
-		alpha[ i ] = uniform( EPS, 100.0 );
-	}
 	beta = new Float64Array( len );
-	for ( i = 0; i < len; i++ ) {
-		beta[ i ] = uniform( EPS, 100.0 );
-	}
 	x = new Float64Array( len );
 	for ( i = 0; i < len; i++ ) {
+		alpha[ i ] = uniform( EPS, 100.0 );
+		beta[ i ] = uniform( EPS, 100.0 );
 		x[ i ] = uniform( EPS, 2.0 );
 	}
 

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

@@ -50,15 +50,11 @@ bench( pkg+'::native', opts, function benchmark( b ) {
 
 	len = 100;
 	alpha = new Float64Array( len );
-	for ( i = 0; i < len; i++ ) {
-		alpha[ i ] = uniform( EPS, 100.0 );
-	}
 	beta = new Float64Array( len );
-	for ( i = 0; i < len; i++ ) {
-		beta[ i ] = uniform( EPS, 100.0 );
-	}
 	x = new Float64Array( len );
 	for ( i = 0; i < len; i++ ) {
+		alpha[ i ] = uniform( EPS, 100.0 );
+		beta[ i ] = uniform( EPS, 100.0 );
 		x[ i ] = uniform( EPS, 2.0 );
 	}
 

lib/node_modules/@stdlib/stats/base/dists/beta/logpdf/benchmark/c/benchmark.c

@@ -103,11 +103,7 @@ static double benchmark( void ) {
 
 	for ( i = 0; i < 100; i++ ) {
 		alpha[ i ] = random_uniform( STDLIB_CONSTANT_FLOAT64_EPS, 100.0 );
-	}
-	for ( i = 0; i < 100; i++ ) {
 		beta[ i ] = random_uniform( STDLIB_CONSTANT_FLOAT64_EPS, 100.0 );
-	}
-	for ( i = 0; i < 100; i++ ) {
 		x[ i ] = random_uniform( STDLIB_CONSTANT_FLOAT64_EPS, 2.0 );
 	}
 

lib/node_modules/@stdlib/stats/base/dists/beta/logpdf/examples/c/example.c

@@ -38,6 +38,6 @@ int main( void ) {
 		alpha = random_uniform( STDLIB_CONSTANT_FLOAT64_EPS, 5.0 );
 		beta = random_uniform( STDLIB_CONSTANT_FLOAT64_EPS, 5.0 );
 		y = stdlib_base_dists_beta_logpdf( x, alpha, beta );
-		printf( "x: %1f, α: %1f, β: %1f, ln(f(x;α,β)): %lf\n", x, alpha, beta, y );
+		printf( "x: %1f. α: %1f. β: %1f. ln(f(x;α,β)): %lf\n", x, alpha, beta, y );
 	}
 }

lib/node_modules/@stdlib/stats/base/dists/beta/logpdf/src/main.c

@@ -30,11 +30,11 @@
 * @param x        input value
 * @param alpha    first shape parameter
 * @param beta     second shape parameter
-* @returns        evaluated logPDF
+* @return         evaluated logPDF
 *
 * @example
 * double y = stdlib_base_dists_beta_logpdf( 0.5, 1.0, 1.0 );
-* // returns ~0.0
+* // returns 0.0
 */
 double stdlib_base_dists_beta_logpdf( const double x, double alpha, const double beta ) {
 	double out;