chore: apply review suggestion

Author: headlessNode

lib/node_modules/@stdlib/blas/ext/base/dnannsumors/README.md

@@ -106,7 +106,7 @@ The function has the following additional parameters:
 -   **offsetX**: starting index for `x`.
 -   **offsetOut**: starting index for `out`.
 
-While [`typed array`][mdn-typed-array] views mandate a view offset based on the underlying buffer, offset parameters support indexing semantics based on starting indices. For example, to calculate the sum of every other value in `x` starting from the second value:
+While [`typed array`][mdn-typed-array] views mandate a view offset based on the underlying buffer, offset parameters support indexing semantics based on starting indices. For example, to calculate the sum of every other element starting from the second element:
 
 ```javascript
 var Float64Array = require( '@stdlib/array/float64' );

lib/node_modules/@stdlib/blas/ext/base/dnannsumors/benchmark/benchmark.js

@@ -33,6 +33,19 @@ var dnannsumors = require( './../lib/dnannsumors.js' );
 
 // FUNCTIONS //
 
+/**
+* Returns a random number.
+*
+* @private
+* @returns {number} random number
+*/
+function rand() {
+	if ( bernoulli( 0.8 ) > 0 ) {
+		return uniform( -10.0, 10.0 );
+	}
+	return NaN;
+}
+
 /**
 * Creates a benchmark function.
 *
@@ -46,13 +59,6 @@ function createBenchmark( len ) {
 	out = new Float64Array( 2 );
 	return benchmark;
 
-	function rand() {
-		if ( bernoulli( 0.8 ) > 0 ) {
-			return uniform( -10.0, 10.0 );
-		}
-		return NaN;
-	}
-
 	function benchmark( b ) {
 		var i;
 

lib/node_modules/@stdlib/blas/ext/base/dnannsumors/benchmark/benchmark.native.js

@@ -42,6 +42,19 @@ var opts = {
 
 // FUNCTIONS //
 
+/**
+* Returns a random number.
+*
+* @private
+* @returns {number} random number
+*/
+function rand() {
+	if ( bernoulli( 0.8 ) > 0 ) {
+		return uniform( -10.0, 10.0 );
+	}
+	return NaN;
+}
+
 /**
 * Creates a benchmark function.
 *
@@ -55,13 +68,6 @@ function createBenchmark( len ) {
 	out = new Float64Array( 2 );
 	return benchmark;
 
-	function rand() {
-		if ( bernoulli( 0.8 ) > 0 ) {
-			return uniform( -10.0, 10.0 );
-		}
-		return NaN;
-	}
-
 	function benchmark( b ) {
 		var i;
 

lib/node_modules/@stdlib/blas/ext/base/dnannsumors/benchmark/benchmark.ndarray.js

@@ -33,6 +33,19 @@ var dnannsumors = require( './../lib/ndarray.js' );
 
 // FUNCTIONS //
 
+/**
+* Returns a random number.
+*
+* @private
+* @returns {number} random number
+*/
+function rand() {
+	if ( bernoulli( 0.8 ) > 0 ) {
+		return uniform( -10.0, 10.0 );
+	}
+	return NaN;
+}
+
 /**
 * Creates a benchmark function.
 *
@@ -46,13 +59,6 @@ function createBenchmark( len ) {
 	out = new Float64Array( 2 );
 	return benchmark;
 
-	function rand() {
-		if ( bernoulli( 0.8 ) > 0 ) {
-			return uniform( -10.0, 10.0 );
-		}
-		return NaN;
-	}
-
 	function benchmark( b ) {
 		var i;
 

lib/node_modules/@stdlib/blas/ext/base/dnannsumors/benchmark/benchmark.ndarray.native.js

@@ -42,6 +42,19 @@ var opts = {
 
 // FUNCTIONS //
 
+/**
+* Returns a random number.
+*
+* @private
+* @returns {number} random number
+*/
+function rand() {
+	if ( bernoulli( 0.8 ) > 0 ) {
+		return uniform( -10.0, 10.0 );
+	}
+	return NaN;
+}
+
 /**
 * Creates a benchmark function.
 *
@@ -55,13 +68,6 @@ function createBenchmark( len ) {
 	out = new Float64Array( 2 );
 	return benchmark;
 
-	function rand() {
-		if ( bernoulli( 0.8 ) > 0 ) {
-			return uniform( -10.0, 10.0 );
-		}
-		return NaN;
-	}
-
 	function benchmark( b ) {
 		var i;
 

lib/node_modules/@stdlib/blas/ext/base/dnannsumors/docs/repl.txt

@@ -42,19 +42,17 @@
     > {{alias}}( x.length, x, 1, out, 1 )
     <Float64Array>[ 1.0, 3 ]
 
-    // Using `N` and `stride` parameters:
+    // Using `N` and stride parameters:
     > x = new {{alias:@stdlib/array/float64}}( [ -2.0, 1.0, 1.0, -5.0, 2.0, -1.0, NaN, NaN ] );
     > out = new {{alias:@stdlib/array/float64}}( 2 );
-    > var N = {{alias:@stdlib/math/base/special/floor}}( x.length / 2 );
-    > {{alias}}( N, x, 2, out, 1 )
+    > {{alias}}( 4, x, 2, out, 1 )
     <Float64Array>[ 1.0, 3 ]
 
     // Using view offsets:
     > var x0 = new {{alias:@stdlib/array/float64}}( [ 1.0, -2.0, 3.0, 2.0, 5.0, 1.0, NaN, NaN ] );
     > var x1 = new {{alias:@stdlib/array/float64}}( x0.buffer, x0.BYTES_PER_ELEMENT*1 );
-    > N = {{alias:@stdlib/math/base/special/floor}}( x0.length / 2 );
     > out = new {{alias:@stdlib/array/float64}}( 2 );
-    > {{alias}}( N, x1, 2, out, 1 )
+    > {{alias}}( 4, x1, 2, out, 1 )
     <Float64Array>[ 1.0, 3 ]
 
 
@@ -106,9 +104,8 @@
 
     // Using offset parameter:
     > var x = new {{alias:@stdlib/array/float64}}( [ 1.0, -2.0, 3.0, 2.0, 5.0, 1.0, NaN, NaN ] );
-    > var N = {{alias:@stdlib/math/base/special/floor}}( x.length / 2 );
     > out = new {{alias:@stdlib/array/float64}}( 2 );
-    > {{alias}}.ndarray( N, x, 2, 1, out, 1, 0 )
+    > {{alias}}.ndarray( 4, x, 2, 1, out, 1, 0 )
     <Float64Array>[ 1.0, 3 ]
 
     See Also

lib/node_modules/@stdlib/blas/ext/base/dnannsumors/src/main.c

@@ -60,9 +60,8 @@ double API_SUFFIX(stdlib_strided_dnannsumors_ndarray)( const CBLAS_INT N, const
 		if ( stdlib_base_is_nan( X[ ix ] ) ) {
 			return sum;
 		}
-		sum = X[ ix ] * N;
 		*n += N;
-		return sum;
+		return X[ ix ] * N;
 	}
 	for ( i = 0; i < N; i++ ) {
 		if ( !stdlib_base_is_nan( X[ ix ] ) ) {