Merge branch 'stdlib-js:develop' into develop

Author: Aksshay88

lib/node_modules/@stdlib/math/base/special/logit/README.md

@@ -39,7 +39,7 @@ The [logit][logit] function is defined as the logarithm of the odds `p / (1-p)`;
 
 <!-- </equation> -->
 
-The [logit][logit] function is the inverse of the [standard logistic][standard-logistic] function, sometimes also called the sigmoid function. 
+The [logit][logit] function is the inverse of the [standard logistic][standard-logistic] function, sometimes also called the sigmoid function.
 
 </section>
 
@@ -145,7 +145,7 @@ The function accepts the following arguments:
 -   **p**: `[in] double` input value.
 
 ```c
-double stdlib_base_logit( const double p ); 
+double stdlib_base_logit( const double p );
 ```
 
 </section>

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

@@ -142,10 +142,6 @@ 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. -->
 
 * * *
@@ -214,7 +210,6 @@ double stdlib_base_dists_normal_pdf( const double x, const double mu, const doub
 #include "stdlib/constants/float64/eps.h"
 #include <stdlib.h>
 #include <stdio.h>
-#include <time.h>
 
 static double random_uniform( const double min, const double max ) {
     double v = (double)rand() / ( (double)RAND_MAX + 1.0 );
@@ -240,6 +235,12 @@ int main( void ) {
 
 </section>
 
+<!-- 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/normal/pdf/benchmark/benchmark.native.js

@@ -40,7 +40,7 @@ var opts = {
 
 // MAIN //
 
-bench( pkg, opts, function benchmark( b ) {
+bench( pkg+'::native', opts, function benchmark( b ) {
 	var sigma;
 	var len;
 	var mu;
@@ -60,7 +60,7 @@ bench( pkg, opts, function benchmark( b ) {
 
 	b.tic();
 	for ( i = 0; i < b.iterations; i++ ) {
-		y = pdf( x[ i % len ], mu[ i % len ], sigma[ i % len ]);
+		y = pdf( x[ i % len ], mu[ i % len ], sigma[ i % len ] );
 		if ( isnan( y ) ) {
 			b.fail( 'should not return NaN' );
 		}

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

@@ -27,7 +27,6 @@
 #define NAME "normal-pdf"
 #define ITERATIONS 1000000
 #define REPEATS 3
-#define LEN 100
 
 /**
 * Prints the TAP version.
@@ -94,23 +93,24 @@ static double random_uniform( const double min, const double max ) {
 * @return elapsed time in seconds
 */
 static double benchmark( void ) {
+	double sigma[ 100 ];
+	double mu[ 100 ];
 	double elapsed;
-	double x[ LEN ];
-	double mu[ LEN ];
-	double sigma[ LEN ];
 	double y;
 	double t;
 	int i;
 
-	for ( i = 0; i < LEN; i++ ) {
+	double x[ 100 ];
+
+	for ( i = 0; i < 100; i++ ) {
 		x[ i ] = random_uniform( -100.0, 100.0 );
 		mu[ i ] = random_uniform( -50.0, 50.0 );
 		sigma[ i ] = random_uniform( STDLIB_CONSTANT_FLOAT64_EPS, 20.0 );
 	}
 
 	t = tic();
 	for ( i = 0; i < ITERATIONS; i++ ) {
-		y = stdlib_base_dists_normal_pdf( x[ i%LEN ], mu[ i%LEN ], sigma[ i%LEN ] );
+		y = stdlib_base_dists_normal_pdf( x[ i%100 ], mu[ i%100 ], sigma[ i%100 ] );
 		if ( y != y ) {
 			printf( "should not return NaN\n" );
 			break;

lib/node_modules/@stdlib/stats/base/dists/normal/pdf/examples/c/example.c

@@ -20,7 +20,6 @@
 #include "stdlib/constants/float64/eps.h"
 #include <stdlib.h>
 #include <stdio.h>
-#include <time.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/planck/entropy/manifest.json

@@ -42,8 +42,7 @@
         "@stdlib/math/base/assert/is-nan",
         "@stdlib/math/base/special/exp",
         "@stdlib/math/base/special/expm1",
-        "@stdlib/math/base/special/ln",
-        "@stdlib/constants/float64/pi"
+        "@stdlib/math/base/special/ln"
       ]
     },
     {

lib/node_modules/@stdlib/stats/base/dists/triangular/median/test/fixtures/julia/runner.jl

@@ -74,9 +74,11 @@ dir = dirname( file );
 # Generate fixtures:
 a = rand( 500 ) .* 10.0;
 b = ( rand( 500 ) .* 10.0 ) .+ a;
+
 # Case: c < (a + b) / 2
 c1 = a .+ ( b .- a ) .* ( 0.5 .* rand( 500 ) );
 gen( a, b, c1, "data1.json" );
+
 # Case: c >= (a + b) / 2
 c2 = ( a .+ b ) ./ 2 .+ ( b .- a ) .* ( 0.5 .* rand( 500 ) );
 gen( a, b, c2, "data2.json" );