chore: clean up

Author: Neerajpathak07

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

@@ -172,7 +172,7 @@ for ( i = 0; i < 10; i++ ) {
 
 #### stdlib_base_dists_betaprime_mode( alpha, beta )
 
-Evaluates the mode for a beta prime distribution with first shape parameter `alpha` and second shape parameter `beta`.
+Returns the mode for a beta prime distribution with first shape parameter `alpha` and second shape parameter `beta`.
 
 ```c
 double y = stdlib_base_dists_betaprime_mode( 1.0, 2.0 );
@@ -208,10 +208,15 @@ element and another before the `/section` close. -->
 ### Examples
 
 ```c
-#include "stdlib/stats/base/dists/betaprime/mode.h"
 #include "stdlib/constants/float64/eps.h"
-#include <stdlib.h>
+#include "stdlib/stats/base/dists/betaprime/mode.h"
 #include <stdio.h>
+#include <stdlib.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) );
+}
 
 int main( void ) {
     double alpha;
@@ -220,8 +225,8 @@ int main( void ) {
     int i;
 
     for ( i = 0; i < 10; i++ ) {
-        alpha = ( ( (double)rand() / (double)RAND_MAX )*10.0 ) + STDLIB_CONSTANT_FLOAT64_EPS;
-        beta = ( ( (double)rand() / (double)RAND_MAX )*10.0 ) + 1.0 + STDLIB_CONSTANT_FLOAT64_EPS;
+        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_mode( alpha, beta );
         printf( "α: %1f, β: %1f, Mode(X;α,β): %lf\n", alpha, beta, y );
     }

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

@@ -21,7 +21,8 @@
 // MODULES //
 
 var bench = require( '@stdlib/bench' );
-var randu = require( '@stdlib/random/base/randu' );
+var uniform = require( '@stdlib/random/base/uniform' );
+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;
@@ -33,14 +34,23 @@ var mode = require( './../lib' );
 bench( pkg, function benchmark( b ) {
 	var alpha;
 	var beta;
+	var len;
 	var y;
 	var i;
 
+	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++ ) {
+		beta[ i ] = uniform( EPS, 10.0 );
+	}
+
 	b.tic();
 	for ( i = 0; i < b.iterations; i++ ) {
-		alpha = ( randu()*10.0 ) + EPS;
-		beta = ( randu()*10.0 ) + EPS;
-		y = mode( alpha, beta );
+		y = mode( alpha[ i%100 ], beta[ i%100 ] );
 		if ( isnan( y ) ) {
 			b.fail( 'should not return NaN' );
 		}

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

@@ -22,7 +22,8 @@
 
 var resolve = require( 'path' ).resolve;
 var bench = require( '@stdlib/bench' );
-var randu = require( '@stdlib/random/base/randu' );
+var uniform = require( '@stdlib/random/base/uniform' );
+var Float64Array = require( '@stdlib/array/float64' );
 var isnan = require( '@stdlib/math/base/assert/is-nan' );
 var tryRequire = require( '@stdlib/utils/try-require' );
 var EPS = require( '@stdlib/constants/float64/eps' );
@@ -42,14 +43,23 @@ var opts = {
 bench( pkg+'::native', opts, function benchmark( b ) {
 	var alpha;
 	var beta;
+	var len;
 	var y;
 	var i;
 
+	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++ ) {
+		beta[ i ] = uniform( EPS, 10.0 );
+	}
+
 	b.tic();
 	for ( i = 0; i < b.iterations; i++ ) {
-		alpha = ( randu()*10.0 ) + EPS;
-		beta = ( randu()*10.0 ) + EPS;
-		y = mode( alpha, beta );
+		y = mode( alpha[ i%100 ], beta[ i%100 ] );
 		if ( isnan( y ) ) {
 			b.fail( 'should not return NaN' );
 		}

lib/node_modules/@stdlib/stats/base/dists/betaprime/mode/benchmark/c/Makefile

@@ -143,4 +143,4 @@ run: $(c_targets)
 clean:
 	$(QUIET) -rm -f *.o *.out
 
-.PHONY: clean
+.PHONY: clean

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

@@ -16,13 +16,13 @@
 * limitations under the License.
 */
 
-#include <sys/time.h>
-#include "stdlib/constants/float64/eps.h"
 #include "stdlib/stats/base/dists/betaprime/mode.h"
-#include <math.h>
-#include <stdio.h>
+#include "stdlib/constants/float64/eps.h"
 #include <stdlib.h>
+#include <stdio.h>
+#include <math.h>
 #include <time.h>
+#include <sys/time.h>
 
 #define NAME "betaprime-mode"
 #define ITERATIONS 1000000
@@ -94,17 +94,22 @@ static double random_uniform( const double min, const double max ) {
 */
 static double benchmark( void ) {
 	double elapsed;
-	double alpha;
-	double beta;
+	double alpha[ 100 ];
+	double beta[ 100 ];
 	double y;
 	double t;
 	int i;
 
+	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( STDLIB_CONSTANT_FLOAT64_EPS, 10.0 );
+	}
+
 	t = tic();
 	for ( i = 0; i < ITERATIONS; i++ ) {
-		alpha = ( ( (double)rand() / (double)RAND_MAX ) * 10.0 ) + STDLIB_CONSTANT_FLOAT64_EPS;
-		beta = ( ( (double)rand() / (double)RAND_MAX ) * 10.0 ) + STDLIB_CONSTANT_FLOAT64_EPS;
-		y = stdlib_base_dists_betaprime_mode( alpha, beta );
+		y = stdlib_base_dists_betaprime_mode( alpha[ i%100 ], beta[ i%100 ] );
 		if ( y != y ) {
 			printf( "should not return NaN\n" );
 			break;

lib/node_modules/@stdlib/stats/base/dists/betaprime/mode/binding.gyp

@@ -167,4 +167,4 @@
       ], # end actions
     }, # end target copy_addon
   ], # end targets
-}
+}

lib/node_modules/@stdlib/stats/base/dists/betaprime/mode/examples/c/Makefile

@@ -143,4 +143,4 @@ run: $(c_targets)
 clean:
 	$(QUIET) -rm -f *.o *.out
 
-.PHONY: clean
+.PHONY: clean

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

@@ -21,15 +21,20 @@
 #include <stdio.h>
 #include <stdlib.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) );
+}
+
 int main( void ) {
 	double alpha;
 	double beta;
 	double y;
 	int i;
 
 	for ( i = 0; i < 10; i++ ) {
-		alpha = ( ( (double)rand() / (double)RAND_MAX ) * 10.0 ) + STDLIB_CONSTANT_FLOAT64_EPS;
-		beta = ( ( (double)rand() / (double)RAND_MAX ) * 10.0 ) + 1.0 + STDLIB_CONSTANT_FLOAT64_EPS;
+		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_mode( alpha, beta );
 		printf( "α: %1f, β: %1f, Mode(X;α,β): %lf\n", alpha, beta, y );
 	}

lib/node_modules/@stdlib/stats/base/dists/betaprime/mode/include.gypi

@@ -50,4 +50,4 @@
       '<!@(node -e "var arr = require(\'@stdlib/utils/library-manifest\')(\'./manifest.json\',{},{\'basedir\':process.cwd(),\'paths\':\'posix\'}).libpath; for ( var i = 0; i < arr.length; i++ ) { console.log( arr[ i ] ); }")',
     ],
   }, # end variables
-}
+}

lib/node_modules/@stdlib/stats/base/dists/betaprime/mode/include/stdlib/stats/base/dists/betaprime/mode.h

@@ -27,12 +27,12 @@ extern "C" {
 #endif
 
 /**
-* Evaluates the mode for a beta prime distribution with first shape parameter `alpha` and second shape parameter `beta`.
+* Returns the mode for a beta prime distribution with first shape parameter `alpha` and second shape parameter `beta`.
 */
 double stdlib_base_dists_betaprime_mode( const double alpha, const double beta );
 
 #ifdef __cplusplus
 }
 #endif
 
-#endif // !STDLIB_STATS_BASE_DISTS_BETAPRIME_MODE_H
+#endif // !STDLIB_STATS_BASE_DISTS_BETAPRIME_MODE_H