Fixing5902

lib/node_modules/@stdlib/stats/base/dists/geometric/logcdf/README.md

@@ -139,10 +139,6 @@ for ( i = 0; i < 10; i++ ) {
 
 <!-- /.examples -->
 
-<!-- Section to include cited references. If references are included, add a horizontal rule *before* the section. Make sure to keep an empty line after the `section` element and another before the `/section` close. -->
-
-<section class="references">
-
 <!-- C interface documentation. -->
 
 * * *
@@ -209,7 +205,6 @@ double stdlib_base_dists_geometric_logcdf( const double x, const double p );
 #include "stdlib/stats/base/dists/geometric/logcdf.h"
 #include <stdlib.h>
 #include <stdio.h>
-#include <math.h>
 
 static double random_uniform( const double min, const double max ) {
     double v = (double)rand() / ( (double)RAND_MAX + 1.0 );
@@ -231,8 +226,17 @@ int main( void ) {
 }
 ```
 
+
+
+<!-- /.c -->
+
+
+<!-- Section to include cited references. If references are included, add a horizontal rule *before* the section. Make sure to keep an empty line after the `section` element and another before the `/section` close. -->
+
+<section class="references">
 </section>
 
+
 <!-- /.references -->
 
 <!-- Section for related `stdlib` packages. Do not manually edit this section, as it is automatically populated. -->

lib/node_modules/@stdlib/stats/base/dists/geometric/logcdf/examples/c/example.c

@@ -19,7 +19,6 @@
 #include "stdlib/stats/base/dists/geometric/logcdf.h"
 #include <stdlib.h>
 #include <stdio.h>
-#include <math.h>
 
 static double random_uniform( const double min, const double max ) {
 	double v = (double)rand() / ( (double)RAND_MAX + 1.0 );

lib/node_modules/@stdlib/stats/base/dists/geometric/logpmf/README.md

@@ -143,10 +143,6 @@ for ( i = 0; i < 10; i++ ) {
 
 <!-- /.examples -->
 
-<!-- Section to include cited references. If references are included, add a horizontal rule *before* the section. Make sure to keep an empty line after the `section` element and another before the `/section` close. -->
-
-<section class="references">
-
 <!-- C interface documentation. -->
 
 * * *
@@ -211,7 +207,6 @@ double stdlib_base_dists_geometric_logpmf( const double x, const double p );
 
 ```c
 #include "stdlib/stats/base/dists/geometric/logpmf.h"
-#include "stdlib/math/base/special/round.h"
 #include <stdlib.h>
 #include <stdio.h>
 #include <math.h>
@@ -238,8 +233,14 @@ int main( void ) {
 
 </section>
 
+<!-- /.c -->
+
 <!-- /.references -->
 
+<!-- Section to include cited references. If references are included, add a horizontal rule *before* the section. Make sure to keep an empty line after the `section` element and another before the `/section` close. -->
+
+<section class="references">
+
 <!-- Section for related `stdlib` packages. Do not manually edit this section, as it is automatically populated. -->
 
 <section class="related">

lib/node_modules/@stdlib/stats/base/dists/geometric/logpmf/src/main.c

@@ -21,7 +21,6 @@
 #include "stdlib/math/base/assert/is_nan.h"
 #include "stdlib/math/base/special/ln.h"
 #include "stdlib/constants/float64/ninf.h"
-#include <math.h>
 
 /**
 * Evaluates the logarithm of the probability mass function (PMF) for a geometric distribution with success probability `p` at a value `x`.

lib/node_modules/@stdlib/stats/base/dists/levy/median/benchmark/benchmark.js

@@ -21,7 +21,7 @@
 // MODULES //
 
 var bench = require( '@stdlib/bench' );
-var randu = require( '@stdlib/random/base/randu' );
+var uniform = require( '@stdlib/random/base/randu' );
 var isnan = require( '@stdlib/math/base/assert/is-nan' );
 var EPS = require( '@stdlib/constants/float64/eps' );
 var pkg = require( './../package.json' ).name;
@@ -31,16 +31,24 @@ var median = require( './../lib' );
 // MAIN //
 
 bench( pkg, function benchmark( b ) {
+	var rand = uniform( -50.0, 50.0 );
+    var randC = uniform( EPS, 20.0 + EPS );
 	var mu;
 	var c;
 	var y;
 	var i;
 
+	mu = new Float64Array(b.iterations );
+	c = new Float64Array( b.iterations );
+
+	for ( i = 0; i < b.iterations; i++ ) { 
+        mu[ i ] = randMu();
+        c[ i ] = randC();
+    }  
+
 	b.tic();
 	for ( i = 0; i < b.iterations; i++ ) {
-		mu = ( randu()*100.0 ) - 50.0;
-		c = ( randu()*20.0 ) + EPS;
-		y = median( mu, c );
+		y = median( mu[ i ], c[ i ] );
 		if ( isnan( y ) ) {
 			b.fail( 'should not return NaN' );
 		}

lib/node_modules/@stdlib/stats/base/dists/levy/median/test/test.js

@@ -59,9 +59,6 @@ tape( 'if provided a nonpositive `c`, the function returns `NaN`', function test
 	y = median( 2.0, -1.0 );
 	t.equal( isnan( y ), true, 'returns NaN' );
 
-	y = median( 2.0, -1.0 );
-	t.equal( isnan( y ), true, 'returns NaN' );
-
 	y = median( 1.0, NINF );
 	t.equal( isnan( y ), true, 'returns NaN' );