chore: updated according to code review

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Author: 0PrashantYadav0

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

@@ -175,17 +175,17 @@ console.log( v );
 ### Usage
 
 ```c
-#include "stdlib/stats/base/dnanmeanwd.h"
+#include "stdlib/stats/base/snanmeanwd.h"
 ```
 
-#### stdlib_strided_dnanmeanwd( N, \*X, strideX )
+#### stdlib_strided_snanmeanwd( N, \*X, strideX )
 
 Computes the [arithmetic mean][arithmetic-mean] of a single-precision floating-point strided array `x`, ignoring `NaN` values and using Welford's algorithm.
 
 ```c
-const double x[] = { 1.0, -2.0, 0.0/0.0, 2.0 };
+const double x[] = { 1.0, -2.0, 0.0f/0.0f, 2.0 };
 
-double v = stdlib_strided_dnanmeanwd( 4, x, 1 );
+double v = stdlib_strided_snanmeanwd( 4, x, 1 );
 // returns ~0.33333
 ```
 
@@ -196,17 +196,17 @@ The function accepts the following arguments:
 -   **strideX**: `[in] CBLAS_INT` stride length for `X`.
 
 ```c
-float stdlib_strided_dnanmeanwd( const CBLAS_INT N, const float *X, const CBLAS_INT strideX );
+float stdlib_strided_snanmeanwd( const CBLAS_INT N, const float *X, const CBLAS_INT strideX );
 ```
 
-#### stdlib_strided_dnanmeanwd_ndarray( N, \*X, strideX, offsetX )
+#### stdlib_strided_snanmeanwd_ndarray( N, \*X, strideX, offsetX )
 
 Computes the [arithmetic mean][arithmetic-mean] of a single-precision floating-point strided array, ignoring `NaN` values and using Welford's algorithm and alternative indexing semantics.
 
 ```c
-const double x[] = { 1.0, -2.0, 0.0/0.0, 2.0 };
+const double x[] = { 1.0, -2.0, 0.0f/0.0f, 2.0 };
 
-double v = stdlib_strided_dnanmeanwd_ndarray( 4, x, 1, 0 );
+double v = stdlib_strided_snanmeanwd_ndarray( 4, x, 1, 0 );
 // returns ~0.33333
 ```
 
@@ -218,7 +218,7 @@ The function accepts the following arguments:
 -   **offsetX**: `[in] CBLAS_INT` starting index for `X`.
 
 ```c
-float stdlib_strided_dnanmeanwd_ndarray( const CBLAS_INT N, const float *X, const CBLAS_INT strideX, const CBLAS_INT offsetX );
+float stdlib_strided_snanmeanwd_ndarray( const CBLAS_INT N, const float *X, const CBLAS_INT strideX, const CBLAS_INT offsetX );
 ```
 
 </section>
@@ -245,7 +245,7 @@ float stdlib_strided_dnanmeanwd_ndarray( const CBLAS_INT N, const float *X, cons
 
 int main( void ) {
     // Create a strided array:
-    const float x[] = { 1.0, 2.0, 0.0/0.0, 3.0, 0.0/0.0, 4.0, 5.0, 6.0, 0.0/0.0, 7.0, 8.0, 0.0/0.0 };
+    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 };
 
     // Specify the number of elements:
     const int N = 6;

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

@@ -102,10 +102,10 @@ static double benchmark1( int iterations, int len ) {
 	int i;
 
 	for ( i = 0; i < len; i++ ) {
-		if ( rand_float() < 0.2 ) {
-			x[ i ] = 0.0 / 0.0; // NaN
+		if ( rand_float() < 0.2f ) {
+			x[ i ] = 0.0f / 0.0f; // NaN
 		} else {
-			x[ i ] = ( rand_float() * 20000.0 ) - 10000.0;
+			x[ i ] = ( rand_float() * 20000.0f ) - 10000.0f;
 		}
 	}
 	v = 0.0f;
@@ -140,10 +140,10 @@ static double benchmark2( int iterations, int len ) {
 	int i;
 
 	for ( i = 0; i < len; i++ ) {
-		if ( rand_float() < 0.2 ) {
-			x[ i ] = 0.0 / 0.0; // NaN
+		if ( rand_float() < 0.2f ) {
+			x[ i ] = 0.0f / 0.0f; // NaN
 		} else {
-			x[ i ] = ( rand_float() * 20000.0 ) - 10000.0;
+			x[ i ] = ( rand_float() * 20000.0f ) - 10000.0f;
 		}
 	}
 	v = 0.0f;

lib/node_modules/@stdlib/stats/base/snanmeanwd/examples/c/example.c

@@ -21,8 +21,7 @@
 
 int main( void ) {
 	// Create a strided array:
-	const float x[] = { 1.0, 2.0, 0.0/0.0, 3.0, 0.0/0.0, 4.0, 5.0, 6.0, 0.0/0.0, 7.0, 8.0, 0.0/0.0 };
-
+	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 };
 	// Specify the number of elements:
 	const int N = 6;
 

lib/node_modules/@stdlib/stats/base/snanmeanwd/examples/index.js

@@ -21,7 +21,7 @@
 var uniform = require( '@stdlib/random/base/uniform' );
 var filledarrayBy = require( '@stdlib/array/filled-by' );
 var bernoulli = require( '@stdlib/random/base/bernoulli' );
-var snanmeanwd = require( '@stdlib/stats/base/snanmeanwd' );
+var snanmeanwd = require( './../lib' );
 
 function rand() {
 	if ( bernoulli( 0.8 ) < 1 ) {

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

@@ -43,7 +43,7 @@
 *
 * @param N       number of indexed elements
 * @param X       input array
-* @param stride  stride length
+* @param strideX stride length
 * @return        output value
 */
 float API_SUFFIX(stdlib_strided_snanmeanwd)( const CBLAS_INT N, const float *X, const CBLAS_INT strideX ) {