chore: applying changes from code review

Author: Neerajpathak07

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

@@ -195,7 +195,7 @@ console.log( v );
 
 #### stdlib_strided_dsmeanpn( N, \*X, strideX )
 
-Computes the arithmetic mean value of a single-precision floating-point strided array.
+Computes the arithmetic mean of a single-precision floating-point strided array using a two-pass error correction algorithm with extended accumulation and returning an extended precision result.
 
 ```c
 const float x[] = { 1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f, 7.0f, 8.0f };
@@ -216,7 +216,7 @@ double stdlib_strided_dsmeanpn( const CBLAS_INT N, const float *X, const CBLAS_I
 
 #### stdlib_strided_dsmeanpn_ndarray( N, \*X, strideX, offsetX )
 
-Computes the arithmetic value value of a single-precision floating-point strided array using alternative indexing semantics.
+Computes the arithmetic mean of a single-precision floating-point strided array using a two-pass error correction algorithm with extended accumulation and alternative indexing semantics and returning an extended precision result.
 
 ```c
 const float x[] = { 1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f, 7.0f, 8.0f };

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

@@ -97,14 +97,14 @@ static float rand_float( void ) {
 static double benchmark1( int iterations, int len ) {
 	double elapsed;
 	float x[ len ];
-	float v;
+	double v;
 	double t;
 	int i;
 
 	for ( i = 0; i < len; i++ ) {
 		x[ i ] = ( rand_float()*20000.0f ) - 10000.0f;
 	}
-	v = 0.0f;
+	v = 0.0;
 	t = tic();
 	for ( i = 0; i < iterations; i++ ) {
 		// cppcheck-suppress uninitvar
@@ -131,14 +131,14 @@ static double benchmark1( int iterations, int len ) {
 static double benchmark2( int iterations, int len ) {
 	double elapsed;
 	float x[ len ];
-	float v;
+	double v;
 	double t;
 	int i;
 
 	for ( i = 0; i < len; i++ ) {
 		x[ i ] = ( rand_float() * 20000.0f ) - 10000.0f;
 	}
-	v = 0.0f;
+	v = 0.0;
 	t = tic();
 	for ( i = 0; i < iterations; i++ ) {
 		// cppcheck-suppress uninitvar

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

@@ -4,8 +4,8 @@
     array using a two-pass error correction algorithm with extended accumulation
     and returning an extended precision result.
 
-    The `N` and stride parameters determine which elements in `x` are accessed
-    at runtime.
+    The `N` and stride parameters determine which elements in the strided array
+    are accessed at runtime.
 
     Indexing is relative to the first index. To introduce an offset, use a typed
     array view.
@@ -21,7 +21,7 @@
         Input array.
 
     strideX: integer
-        Stride Length.
+        Stride length.
 
     Returns
     -------
@@ -37,14 +37,14 @@
 
     // Using `N` and stride parameters:
     > x = new {{alias:@stdlib/array/float32}}( [ -2.0, 1.0, 1.0, -5.0, 2.0, -1.0 ] );
-    > {{alias}}( 4, x, 2 )
-    NaN
+    > {{alias}}( 3, x, 2 )
+    ~0.333
 
     // Using view offsets:
     > var x0 = new {{alias:@stdlib/array/float32}}( [ 1.0, -2.0, 3.0, 2.0, 5.0, -1.0 ] );
     > var x1 = new {{alias:@stdlib/array/float32}}( x0.buffer, x0.BYTES_PER_ELEMENT*1 );
-    > {{alias}}( 4, x1, 2 )
-    NaN
+    > {{alias}}( 3, x1, 2 )
+    ~-0.333
 
 
 {{alias}}.ndarray( N, x, strideX, offsetX )
@@ -66,7 +66,7 @@
         Input array.
 
     strideX: integer
-        Index increment.
+        Stride length.
 
     offsetX: integer
         Starting index.
@@ -85,8 +85,8 @@
 
     // Using offset parameter:
     > var x = new {{alias:@stdlib/array/float32}}( [ 1.0, -2.0, 3.0, 2.0, 5.0, -1.0 ] );
-    > {{alias}}.ndarray( 4, x, 2, 1 )
-    NaN
+    > {{alias}}.ndarray( 3, x, 2, 1 )
+    ~-0.333
 
     See Also
     --------

lib/node_modules/@stdlib/stats/base/dsmeanpn/include/stdlib/stats/base/dsmeanpn.h

@@ -29,12 +29,12 @@ extern "C" {
 #endif
 
 /**
-* Computes the arithmetic mean of a single-precision floating-point strided array using a two-pass error correction algorithm with extended accumulation and returning an extended precision result.
+* Computes the arithmetic mean of a single-precision floating-point strided array `x` using a two-pass error correction algorithm with extended accumulation and returning an extended precision result.
 */
 double API_SUFFIX(stdlib_strided_dsmeanpn)( const CBLAS_INT N, const float *X, const CBLAS_INT strideX );
 
 /**
-* Computes the maximum value of a single-precision floating-point strided array using alternative indexing semantics.
+* Computes the arithmetic mean of a single-precision floating-point strided array using a two-pass error correction algorithm with extended accumulation and alternative indexing semantics and returning an extended precision result.
 */
 double API_SUFFIX(stdlib_strided_dsmeanpn_ndarray)( const CBLAS_INT N, const float *X, const CBLAS_INT strideX, const CBLAS_INT offsetX );
 

lib/node_modules/@stdlib/stats/base/dsmeanpn/manifest.json

@@ -40,8 +40,6 @@
       "dependencies": [
         "@stdlib/blas/base/shared",
         "@stdlib/strided/base/stride2offset",
-        "@stdlib/math/base/assert/is-positive-zerof",
-        "@stdlib/math/base/assert/is-nanf",
         "@stdlib/napi/export",
         "@stdlib/napi/argv",
         "@stdlib/napi/argv-int64",

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

@@ -45,7 +45,7 @@ double API_SUFFIX(stdlib_strided_dsmeanpn)( const CBLAS_INT N, const float *X, c
 }
 
 /**
-* Computes the maximum value of a single-precision floating-point strided array using alternative indexing semantics.
+* Computes the arithmetic mean of a single-precision floating-point strided array using a two-pass error correction algorithm with extended accumulation and alternative indexing semantics and returning an extended precision result.
 *
 * @param N        number of indexed elements
 * @param X        input array