chore: updated input value and added float value

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Author: 0PrashantYadav0

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

@@ -175,17 +175,17 @@ console.log( v );
 ### Usage
 
 ```c
-#include "stdlib/stats/base/dnanmeanpn.h"
+#include "stdlib/stats/base/snanmeanpn.h"
 ```
 
-#### stdlib_strided_dnanmeanpn( N, \*X, strideX )
+#### stdlib_strided_snanmeanpn( N, \*X, strideX )
 
 Computes the [arithmetic mean][arithmetic-mean] of a single-precision floating-point strided array `x`, ignoring `NaN` values and using a two-pass error correction algorithm.
 
 ```c
-const double x[] = { 1.0, -2.0, 0.0/0.0, 2.0 };
+const double x[] = { 1.0f, -2.0f, 0.0f/0.0f, 2.0f };
 
-double v = stdlib_strided_dnanmeanpn( 4, x, 1 );
+double v = stdlib_strided_snanmeanpn( 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_dnanmeanpn( const CBLAS_INT N, const float *X, const CBLAS_INT strideX );
+float stdlib_strided_snanmeanpn( const CBLAS_INT N, const float *X, const CBLAS_INT strideX );
 ```
 
-#### stdlib_strided_dnanmeanpn_ndarray( N, \*X, strideX, offsetX )
+#### stdlib_strided_snanmeanpn_ndarray( N, \*X, strideX, offsetX )
 
 Computes the [arithmetic mean][arithmetic-mean] of a single-precision floating-point strided array, ignoring `NaN` values and using a two-pass error correction algorithm and alternative indexing semantics.
 
 ```c
-const double x[] = { 1.0, -2.0, 0.0/0.0, 2.0 };
+const double x[] = { 1.0f, -2.0f, 0.0f/0.0f, 2.0f };
 
-double v = stdlib_strided_dnanmeanpn_ndarray( 4, x, 1, 0 );
+double v = stdlib_strided_snanmeanpn_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_dnanmeanpn_ndarray( const CBLAS_INT N, const float *X, const CBLAS_INT strideX, const CBLAS_INT offsetX );
+float stdlib_strided_snanmeanpn_ndarray( const CBLAS_INT N, const float *X, const CBLAS_INT strideX, const CBLAS_INT offsetX );
 ```
 
 </section>
@@ -245,7 +245,7 @@ float stdlib_strided_dnanmeanpn_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/snanmeanpn/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;

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

@@ -91,3 +91,4 @@
 
     See Also
     --------
+

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

@@ -21,7 +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/snanmeanpn/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 snanmeanpn = require( '@stdlib/stats/base/snanmeanpn' );
+var snanmeanpn = require( './../lib' );
 
 function rand() {
 	if ( bernoulli( 0.8 ) < 1 ) {

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

@@ -36,9 +36,9 @@
 * var Float32Array = require( '@stdlib/array/float32' );
 * var snanmeanpn = require( '@stdlib/stats/base/snanmeanpn' );
 *
-* 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 = snanmeanpn.ndarray( 4, x, 2, 1 );
+* var v = snanmeanpn.ndarray( 5, x, 2, 1 );
 * // returns 1.25
 */
 

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

@@ -46,9 +46,9 @@ var float64ToFloat32 = require( '@stdlib/number/float64/base/to-float32' );
 * @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 = snanmeanpn( 4, x, 2, 1 );
+* var v = snanmeanpn( 5, x, 2, 1 );
 * // returns 1.25
 */
 function snanmeanpn( N, x, strideX, offsetX ) {

lib/node_modules/@stdlib/stats/base/snanmeanpn/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 = snanmeanpn( 4, x, 2, 1 );
+* var v = snanmeanpn( 5, x, 2, 1 );
 * // returns 1.25
 */
 function snanmeanpn( N, x, strideX, offsetX ) {

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

@@ -37,7 +37,7 @@ static napi_value addon( napi_env env, napi_callback_info info ) {
 	STDLIB_NAPI_ARGV_INT64( env, N, argv, 0 );
 	STDLIB_NAPI_ARGV_INT64( env, strideX, argv, 2 );
 	STDLIB_NAPI_ARGV_STRIDED_FLOAT32ARRAY( env, X, N, strideX, argv, 1 );
-	STDLIB_NAPI_CREATE_DOUBLE( env, API_SUFFIX(stdlib_strided_snanmeanpn)( N, X, strideX ), v );
+	STDLIB_NAPI_CREATE_DOUBLE( env, (double)API_SUFFIX(stdlib_strided_snanmeanpn)( N, X, strideX ), v );
 	return v;
 }
 
@@ -54,7 +54,7 @@ static napi_value addon_method( napi_env env, napi_callback_info info ) {
 	STDLIB_NAPI_ARGV_INT64( env, strideX, argv, 2 );
 	STDLIB_NAPI_ARGV_INT64( env, offsetX, argv, 3 );
 	STDLIB_NAPI_ARGV_STRIDED_FLOAT32ARRAY( env, X, N, strideX, argv, 1 );
-	STDLIB_NAPI_CREATE_DOUBLE( env, API_SUFFIX(stdlib_strided_snanmeanpn_ndarray)( N, X, strideX, offsetX ), v );
+	STDLIB_NAPI_CREATE_DOUBLE( env, (double)API_SUFFIX(stdlib_strided_snanmeanpn_ndarray)( N, X, strideX, offsetX ), v );
 	return v;
 }
 

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

@@ -65,7 +65,7 @@ float API_SUFFIX(stdlib_strided_snanmeanpn_ndarray)( const CBLAS_INT N, const fl
 		return 0.0f / 0.0f; // NaN
 	}
 	if ( N == 1 || strideX == 0 ) {
-		return X[ 0 ];
+		return X[ offsetX ];
 	}
 	ix = offsetX;
 	o = ix;