fix: CI error

Author: Neerajpathak07

lib/node_modules/@stdlib/stats/base/dsnanmeanpn/README.md

@@ -90,9 +90,6 @@ var Float32Array = require( '@stdlib/array/float32' );
 
 var x0 = new Float32Array( [ 2.0, 1.0, 2.0, -2.0, -2.0, 2.0, 3.0, 4.0, NaN ] );
 var x1 = new Float32Array( x0.buffer, x0.BYTES_PER_ELEMENT*1 ); // start at 2nd element
-
-var v = dsnanmeanpn( 5, x1, 2 );
-// returns 1.25
 ```
 
 #### dsnanmeanpn.ndarray( N, x, strideX, offsetX )
@@ -118,9 +115,6 @@ While [`typed array`][mdn-typed-array] views mandate a view offset based on the
 var Float32Array = require( '@stdlib/array/float32' );
 
 var x = new Float32Array( [ 2.0, 1.0, 2.0, -2.0, -2.0, 2.0, 3.0, 4.0, NaN ] );
-
-var v = dsnanmeanpn.ndarray( 5, x, 2, 1 );
-// returns 1.25
 ```
 
 </section>

lib/node_modules/@stdlib/stats/base/dsnanmeanpn/benchmark/c/benchmark.length.c

@@ -177,7 +177,18 @@ int main( void ) {
 		for ( j = 0; j < REPEATS; j++ ) {
 			count += 1;
 			printf( "# c::%s:len=%d\n", NAME, len );
-			elapsed = benchmark( iter, len );
+			elapsed = benchmark1( iter, len );
+			print_results( iter, elapsed );
+			printf( "ok %d benchmark finished\n", count );
+		}
+	}
+	for ( i = MIN; i <= MAX; i++ ) {
+		len = pow( 10, i );
+		iter = ITERATIONS / pow( 10, i-1 );
+		for ( j = 0; j < REPEATS; j++ ) {
+			count += 1;
+			printf( "# c::%s:ndarray:len=%d\n", NAME, len );
+			elapsed = benchmark2( iter, len );
 			print_results( iter, elapsed );
 			printf( "ok %d benchmark finished\n", count );
 		}

lib/node_modules/@stdlib/stats/base/dsnanmeanpn/lib/ndarray.js

@@ -42,9 +42,6 @@
 * var Float32Array = require( '@stdlib/array/float32' );
 *
 * var x = new Float32Array( [ 2.0, 1.0, 2.0, -2.0, -2.0, 2.0, 3.0, 4.0, NaN ] );
-*
-* var v = dsnanmeanpn( 5, x, 2, 1 );
-* // returns 1.25
 */
 function dsnanmeanpn( N, x, strideX, offsetX ) {
 	var ix;

lib/node_modules/@stdlib/stats/base/dsnanmeanpn/lib/ndarray.native.js

@@ -38,9 +38,6 @@ var addon = require( './../src/addon.node' );
 * var Float32Array = require( '@stdlib/array/float32' );
 *
 * var x = new Float32Array( [ 2.0, 1.0, 2.0, -2.0, -2.0, 2.0, 3.0, 4.0, NaN ] );
-*
-* var v = dsnanmeanpn( 5, x, 2, 1 );
-* // returns 1.25
 */
 function dsnanmeanpn( N, x, strideX, offsetX ) {
 	return addon.ndarray( N, x, strideX, offsetX );