chore: clean up

---
type: pre_push_report
description: Results of running various checks prior to pushing changes.
report:
  - task: run_javascript_examples
    status: na
  - task: run_c_examples
    status: na
  - task: run_cpp_examples
    status: na
  - task: run_javascript_readme_examples
    status: failed
---

Author: Neerajpathak07

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

@@ -75,9 +75,9 @@ The `N` and stride parameters determine which elements in the strided array are
 ```javascript
 var Float32Array = require( '@stdlib/array/float32' );
 
-var x = new Float32Array( [ 1.0, 2.0, 2.0, -7.0, -2.0, 3.0, 4.0, 2.0, NaN ] );
+var x = new Float32Array( [ 1.0, 2.0, 2.0, -7.0, -2.0, 3.0, 4.0, 2.0, NaN, NaN ] );
 
-var v = dsnanmean( 4, x, 2 );
+var v = dsnanmean( 5, x, 2 );
 // returns 1.25
 ```
 
@@ -89,10 +89,10 @@ Note that indexing is relative to the first index. To introduce an offset, use [
 var Float32Array = require( '@stdlib/array/float32' );
 var floor = require( '@stdlib/math/base/special/floor' );
 
-var x0 = new Float32Array( [ 2.0, 1.0, 2.0, -2.0, -2.0, 2.0, 3.0, 4.0, NaN ] );
+var x0 = new Float32Array( [ 2.0, 1.0, 2.0, -2.0, -2.0, 2.0, 3.0, 4.0, NaN, NaN ] );
 var x1 = new Float32Array( x0.buffer, x0.BYTES_PER_ELEMENT*1 ); // start at 2nd element
 
-var v = dsnanmean( 4, x1, 2 );
+var v = dsnanmean( 5, x1, 2 );
 // returns 1.25
 ```
 
@@ -118,9 +118,9 @@ While [`typed array`][mdn-typed-array] views mandate a view offset based on the
 ```javascript
 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 x = new Float32Array( [ 2.0, 1.0, 2.0, -2.0, -2.0, 2.0, 3.0, 4.0, NaN, NaN ] );
 
-var v = dsnanmean.ndarray( 4, x, 2, 1 );
+var v = dsnanmean.ndarray( 5, x, 2, 1 );
 // returns 1.25
 ```
 
@@ -191,7 +191,7 @@ Computes the arithmetic mean of a single-precision floating-point strided array,
 const float x[] = { 1.0f, 2.0f, 0.0f/0.0f, 3.0f, 0.0f/0.0f, 4.0f, 5.0f, 6.0f, 0.0f/0.0f, 7.0f, 8.0f, 0.0f/0.0f };
 
 double v = stdlib_strided_dsnanmean( 6, x, 2 );
-// returns 4.6667
+// returns ~4.6667
 ```
 
 The function accepts the following arguments:
@@ -212,7 +212,7 @@ Computes the arithmetic mean of a single-precision floating-point strided array,
 const float x[] = { 1.0f, 2.0f, 0.0f/0.0f, 3.0f, 0.0f/0.0f, 4.0f, 5.0f, 6.0f, 0.0f/0.0f, 7.0f, 8.0f, 0.0f/0.0f };
 
 double v = stdlib_strided_dsnanmean_ndarray( 6, x, 2, 0 );
-// returns 4.6667
+// returns ~4.6667
 ```
 
 The function accepts the following arguments:

lib/node_modules/@stdlib/stats/base/dsnanmean/benchmark/benchmark.js

@@ -33,13 +33,13 @@ var dsnanmean = require( './../lib/dsnanmean.js' );
 // FUNCTIONS //
 
 /**
-* Returns a random value or `NaN`.
+* Returns a random number.
 *
 * @private
-* @returns {number} random number or `NaN`
+* @returns {number} random number
 */
 function rand() {
-	if ( bernoulli( 0.2 ) ) {
+	if ( bernoulli( 0.8 ) < 1 ) {
 		return NaN;
 	}
 	return uniform( -10.0, 10.0 );

lib/node_modules/@stdlib/stats/base/dsnanmean/benchmark/benchmark.native.js

@@ -42,13 +42,13 @@ var opts = {
 // FUNCTIONS //
 
 /**
-* Returns a random value or `NaN`.
+* Returns a random number.
 *
 * @private
-* @returns {number} random number or `NaN`
+* @returns {number} random number
 */
 function rand() {
-	if ( bernoulli( 0.2 ) ) {
+	if ( bernoulli( 0.8 ) < 1 ) {
 		return NaN;
 	}
 	return uniform( -10.0, 10.0 );

lib/node_modules/@stdlib/stats/base/dsnanmean/benchmark/benchmark.ndarray.js

@@ -33,13 +33,13 @@ var dsnanmean = require( './../lib/ndarray.js' );
 // FUNCTIONS //
 
 /**
-* Returns a random value or `NaN`.
+* Returns a random number.
 *
 * @private
-* @returns {number} random number or `NaN`
+* @returns {number} random number
 */
 function rand() {
-	if ( bernoulli( 0.2 ) ) {
+	if ( bernoulli( 0.8 ) < 1 ) {
 		return NaN;
 	}
 	return uniform( -10.0, 10.0 );

lib/node_modules/@stdlib/stats/base/dsnanmean/benchmark/benchmark.ndarray.native.js

@@ -42,13 +42,13 @@ var opts = {
 // FUNCTIONS //
 
 /**
-* Returns a random value or `NaN`.
+* Returns a random number.
 *
 * @private
-* @returns {number} random number or `NaN`
+* @returns {number} random number
 */
 function rand() {
-	if ( bernoulli( 0.2 ) ) {
+	if ( bernoulli( 0.8 ) < 1 ) {
 		return NaN;
 	}
 	return uniform( -10.0, 10.0 );

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

@@ -102,7 +102,11 @@ static double benchmark1( int iterations, int len ) {
 	int i;
 
 	for ( i = 0; i < len; i++ ) {
-		x[ i ] = ( rand_float()*20000.0f ) - 10000.0f;
+		if ( rand_float() < 0.2f ) {
+			x[ i ] = 0.0f / 0.0f; // NaN
+		} else {
+			x[ i ] = ( rand_float()*20000.0f ) - 10000.0f;
+		}
 	}
 	v = 0.0;
 	t = tic();
@@ -136,7 +140,11 @@ static double benchmark2( int iterations, int len ) {
 	int i;
 
 	for ( i = 0; i < len; i++ ) {
-		x[ i ] = ( rand_float()*20000.0f ) - 10000.0f;
+		if ( rand_float() < 0.2f ) {
+			x[ i ] = 0.0f / 0.0f; // NaN
+		} else {
+			x[ i ] = ( rand_float()*20000.0f ) - 10000.0f;
+		}
 	}
 	v = 0.0;
 	t = tic();

lib/node_modules/@stdlib/stats/base/dsnanmean/docs/repl.txt

@@ -38,14 +38,14 @@
     ~0.3333
 
     // Using `N` and stride parameters:
-    > x = new {{alias:@stdlib/array/float32}}( [ -2.0, 1.0, 1.0, -5.0, 2.0, -1.0, NaN ] );
-    > {{alias}}( 3, x, 2 )
+    > x = new {{alias:@stdlib/array/float32}}( [ -2.0, 1.0, 1.0, -5.0, 2.0, -1.0, NaN, NaN ] );
+    > {{alias}}( 4, x, 2 )
     ~0.3333
 
     // Using view offsets:
-    > var x0 = new {{alias:@stdlib/array/float32}}( [ 1.0, -2.0, 3.0, 2.0, 5.0, -1.0, NaN ] );
+    > var x0 = new {{alias:@stdlib/array/float32}}( [ 1.0, -2.0, 3.0, 2.0, 5.0, -1.0, NaN, NaN ] );
     > var x1 = new {{alias:@stdlib/array/float32}}( x0.buffer, x0.BYTES_PER_ELEMENT*1 );
-    > {{alias}}( 3, x1,2 )
+    > {{alias}}( 4, x1,2 )
     ~-0.3333
 
 
@@ -85,8 +85,8 @@
     ~0.3333
 
     // Using offset parameter:
-    > var x = new {{alias:@stdlib/array/float32}}( [ 1.0, -2.0, 3.0, 2.0, 5.0, -1.0, NaN ] );
-    > {{alias}}.ndarray( 3, x, 2, 1 )
+    > var x = new {{alias:@stdlib/array/float32}}( [ 1.0, -2.0, 3.0, 2.0, 5.0, -1.0, NaN, NaN ] );
+    > {{alias}}.ndarray( 4, x, 2, 1 )
     ~-0.3333
 
     See Also

lib/node_modules/@stdlib/stats/base/dsnanmean/lib/index.js

@@ -36,9 +36,9 @@
 * var Float32Array = require( '@stdlib/array/float32' );
 * var dsnanmean = require( '@stdlib/stats/base/dsnanmean' );
 *
-* var x = new Float32Array( [ 2.0, 1.0, 2.0, -2.0, -2.0, 2.0, 3.0, 4.0, NaN ] );
+* var x = new Float32Array( [ 2.0, 1.0, 2.0, -2.0, -2.0, 2.0, 3.0, 4.0, NaN, NaN ] );
 *
-* var v = dsnanmean.ndarray( 4, x, 2, 1 );
+* var v = dsnanmean.ndarray( 5, x, 2, 1 );
 * // returns 1.25
 */
 

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

@@ -37,9 +37,9 @@ var dsnanmeanpn = require( '@stdlib/stats/base/dsnanmeanpn' ).ndarray;
 * @example
 * 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 x = new Float32Array( [ 2.0, 1.0, 2.0, -2.0, -2.0, 2.0, 3.0, 4.0, NaN, NaN ] );
 *
-* var v = dsnanmean( 4, x, 2, 1 );
+* var v = dsnanmean( 5, x, 2, 1 );
 * // returns 1.25
 */
 function dsnanmean( N, x, strideX, offsetX ) {

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

@@ -37,9 +37,9 @@ var addon = require( './../src/addon.node' );
 * @example
 * 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 x = new Float32Array( [ 2.0, 1.0, 2.0, -2.0, -2.0, 2.0, 3.0, 4.0, NaN, NaN ] );
 *
-* var v = dsnanmean( 4, x, 2, 1 );
+* var v = dsnanmean( 5, x, 2, 1 );
 * // returns 1.25
 */
 function dsnanmean( N, x, strideX, offsetX ) {

lib/node_modules/@stdlib/stats/base/dsnanmean/src/addon.c

@@ -23,6 +23,7 @@
 #include "stdlib/napi/argv_strided_float32array.h"
 #include "stdlib/napi/create_double.h"
 #include "stdlib/blas/base/shared.h"
+#include <node_api.h>
 
 /**
 * Receives JavaScript callback invocation data.

lib/node_modules/@stdlib/stats/base/dsnanmean/src/main.c

@@ -1,7 +1,7 @@
 /**
 * @license Apache-2.0
 *
-* Copyright (c) 2025 The Stdlib Authors.
+* Copyright (c) 2020 The Stdlib Authors.
 *
 * Licensed under the Apache License, Version 2.0 (the "License");
 * you may not use this file except in compliance with the License.