chore: address commit comments for betaprime/mean

PR-URL: #5081
Closes: #5070

Reviewed-by: Philipp Burckhardt <[email protected]>

Author: saurabhraghuvanshii

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

@@ -176,7 +176,7 @@ Returns the expected value for a beta prime distribution with first shape parame
 
 ```c
 double y = stdlib_base_dists_betaprime_mean( 1.0, 2.0 );
-// returns ~1.0
+// returns 1.0
 ```
 
 The function accepts the following arguments:
@@ -228,7 +228,7 @@ int main( void ) {
         alpha = random_uniform( STDLIB_CONSTANT_FLOAT64_EPS, 10.0 );
         beta = random_uniform( 1.0 + STDLIB_CONSTANT_FLOAT64_EPS, 11.0 );
         y = stdlib_base_dists_betaprime_mean( alpha, beta );
-        printf( "α: %1f, β: %1f, E(X;α,β): %lf\n", alpha, beta, y );
+        printf( "α: %lf, β: %lf, E(X;α,β): %lf\n", alpha, beta, y );
     }
 }
 ```

lib/node_modules/@stdlib/stats/base/dists/betaprime/mean/benchmark/benchmark.js

@@ -40,11 +40,9 @@ bench( pkg, function benchmark( b ) {
 
 	len = 100;
 	alpha = new Float64Array( len );
-	for ( i = 0; i < len; i++ ) {
-		alpha[ i ] = uniform( EPS, 10.0 );
-	}
 	beta = new Float64Array( len );
 	for ( i = 0; i < len; i++ ) {
+		alpha[ i ] = uniform( EPS, 10.0 );
 		beta[ i ] = uniform( 1.0 + EPS, 11.0 );
 	}
 

lib/node_modules/@stdlib/stats/base/dists/betaprime/mean/benchmark/benchmark.native.js

@@ -49,11 +49,9 @@ bench( pkg+'::native', opts, function benchmark( b ) {
 
 	len = 100;
 	alpha = new Float64Array( len );
-	for ( i = 0; i < len; i++ ) {
-		alpha[ i ] = uniform( EPS, 10.0 );
-	}
 	beta = new Float64Array( len );
 	for ( i = 0; i < len; i++ ) {
+		alpha[ i ] = uniform( EPS, 10.0 );
 		beta[ i ] = uniform( 1.0 + EPS, 11.0 );
 	}
 

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

@@ -102,8 +102,6 @@ static double benchmark( void ) {
 
 	for ( i = 0; i < 100; i++ ) {
 		alpha[ i ] = random_uniform( STDLIB_CONSTANT_FLOAT64_EPS, 10.0 );
-	}
-	for ( i = 0; i < 100; i++ ) {
 		beta[ i ] = random_uniform( 1.0 + STDLIB_CONSTANT_FLOAT64_EPS, 11.0 );
 	}
 

lib/node_modules/@stdlib/stats/base/dists/betaprime/mean/examples/c/example.c

@@ -36,6 +36,6 @@ int main( void ) {
 		alpha = random_uniform( STDLIB_CONSTANT_FLOAT64_EPS, 10.0 );
 		beta = random_uniform( 1.0 + STDLIB_CONSTANT_FLOAT64_EPS, 11.0 );
 		y = stdlib_base_dists_betaprime_mean( alpha, beta );
-		printf( "α: %1f, β: %1f, E(X;α,β): %lf\n", alpha, beta, y );
+		printf( "α: %lf, β: %lf, E(X;α,β): %lf\n", alpha, beta, y );
 	}
 }

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

@@ -24,13 +24,13 @@
 * @param x        input value
 * @param alpha    first shape parameter
 * @param beta     second shape parameter
-* @returns        expected value
+* @return         expected value
 *
 * @example
 * double y = stdlib_base_dists_betaprime_mean( 1.0, 2.0 );
-* // returns ~1.0
+* // returns 1.0
 */
-double stdlib_base_dists_betaprime_mean( double alpha, const double beta ) {
+double stdlib_base_dists_betaprime_mean( const double alpha, const double beta ) {
 	if ( alpha <= 0.0 || beta <= 1.0 ) {
 		return 0.0 / 0.0;
 	}

lib/node_modules/@stdlib/stats/base/dists/betaprime/mean/test/test.js

@@ -21,11 +21,9 @@
 // MODULES //
 
 var tape = require( 'tape' );
-var abs = require( '@stdlib/math/base/special/abs' );
 var isnan = require( '@stdlib/math/base/assert/is-nan' );
 var PINF = require( '@stdlib/constants/float64/pinf' );
 var NINF = require( '@stdlib/constants/float64/ninf' );
-var EPS = require( '@stdlib/constants/float64/eps' );
 var mean = require( './../lib' );
 
 
@@ -102,10 +100,8 @@ tape( 'if provided `beta <= 1`, the function returns `NaN`', function test( t )
 
 tape( 'the function returns the mean of a beta prime distribution', function test( t ) {
 	var expected;
-	var delta;
 	var alpha;
 	var beta;
-	var tol;
 	var i;
 	var y;
 
@@ -114,13 +110,7 @@ tape( 'the function returns the mean of a beta prime distribution', function tes
 	beta = data.beta;
 	for ( i = 0; i < expected.length; i++ ) {
 		y = mean( alpha[i], beta[i] );
-		if ( y === expected[i] ) {
-			t.equal( y, expected[i], 'alpha: '+alpha[i]+', beta: '+beta[i]+', y: '+y+', expected: '+expected[i] );
-		} else {
-			delta = abs( y - expected[ i ] );
-			tol = 1.0 * EPS * abs( expected[ i ] );
-			t.ok( delta <= tol, 'within tolerance. alpha: '+alpha[i]+'. beta: '+beta[i]+'. y: '+y+'. E: '+expected[ i ]+'. Δ: '+delta+'. tol: '+tol+'.' );
-		}
+		t.equal( y, expected[i], 'alpha: '+alpha[i]+', beta: '+beta[i]+', y: '+y+', expected: '+expected[i] );
 	}
 	t.end();
 });

lib/node_modules/@stdlib/stats/base/dists/betaprime/mean/test/test.native.js

@@ -22,12 +22,10 @@
 
 var resolve = require( 'path' ).resolve;
 var tape = require( 'tape' );
-var abs = require( '@stdlib/math/base/special/abs' );
 var isnan = require( '@stdlib/math/base/assert/is-nan' );
 var tryRequire = require( '@stdlib/utils/try-require' );
 var PINF = require( '@stdlib/constants/float64/pinf' );
 var NINF = require( '@stdlib/constants/float64/ninf' );
-var EPS = require( '@stdlib/constants/float64/eps' );
 
 
 // FIXTURES //
@@ -111,10 +109,8 @@ tape( 'if provided `beta <= 1`, the function returns `NaN`', opts, function test
 
 tape( 'the function returns the mean of a beta prime distribution', opts, function test( t ) {
 	var expected;
-	var delta;
 	var alpha;
 	var beta;
-	var tol;
 	var i;
 	var y;
 
@@ -123,13 +119,7 @@ tape( 'the function returns the mean of a beta prime distribution', opts, functi
 	beta = data.beta;
 	for ( i = 0; i < expected.length; i++ ) {
 		y = mean( alpha[i], beta[i] );
-		if ( y === expected[i] ) {
-			t.equal( y, expected[i], 'alpha: '+alpha[i]+', beta: '+beta[i]+', y: '+y+', expected: '+expected[i] );
-		} else {
-			delta = abs( y - expected[ i ] );
-			tol = 1.0 * EPS * abs( expected[ i ] );
-			t.ok( delta <= tol, 'within tolerance. alpha: '+alpha[i]+'. beta: '+beta[i]+'. y: '+y+'. E: '+expected[ i ]+'. Δ: '+delta+'. tol: '+tol+'.' );
-		}
+		t.equal( y, expected[i], 'alpha: '+alpha[i]+', beta: '+beta[i]+', y: '+y+', expected: '+expected[i] );
 	}
 	t.end();
 });