fix: cleanups

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---

Author: Vinit-Pandit

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

@@ -45,9 +45,7 @@ var options = {
 * @returns {Function} benchmark function
 */
 function createBenchmark( len ) {
-	var x;
-
-	x = uniform( len, -10, 10, options );
+	var x = uniform( len, -10, 10, options );
 	return benchmark;
 
 	function benchmark( b ) {

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

@@ -50,9 +50,7 @@ var options = {
 * @returns {Function} benchmark function
 */
 function createBenchmark( len ) {
-	var x;
-
-	x = uniform( len, -10, 10, options );
+	var x = uniform( len, -10, 10, options );
 	return benchmark;
 
 	function benchmark( b ) {

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

@@ -45,9 +45,7 @@ var options = {
 * @returns {Function} benchmark function
 */
 function createBenchmark( len ) {
-	var x;
-
-	x = uniform( len, -10, 10, options );
+	var x = uniform( len, -10, 10, options );
 	return benchmark;
 
 	function benchmark( b ) {

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

@@ -50,9 +50,7 @@ var options = {
 * @returns {Function} benchmark function
 */
 function createBenchmark( len ) {
-	var x;
-
-	x = uniform( len, -10, 10, options );
+	var x = uniform( len, -10, 10, options );
 	return benchmark;
 
 	function benchmark( b ) {

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

@@ -21,9 +21,7 @@
 var discreteUniform = require( '@stdlib/random/array/discrete-uniform' );
 var svarianceyc = require( './../lib' );
 
-var x;
-
-x = discreteUniform( 10, -50, 50, {
+var x = discreteUniform( 10, -50, 50, {
 	'dtype': 'float32'
 });
 console.log( x );

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

@@ -34,7 +34,7 @@ extern "C" {
 float API_SUFFIX(stdlib_strided_svarianceyc)( const CBLAS_INT N, const float correction, const float *X, const CBLAS_INT strideX );
 
 /**
-* Computes the variance of a single-precision floating-point strided array using a one-pass algorithm proposed by Youngs and Cramer, using alternative indexing semantics.
+* Computes the variance of a single-precision floating-point strided array using a one-pass algorithm proposed by Youngs and Cramer and alternative indexing semantics.
 */
 float API_SUFFIX(stdlib_strided_svarianceyc_ndarray)( const CBLAS_INT N, const float correction, const float *X, const CBLAS_INT strideX, const CBLAS_INT offsetX );
 

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

@@ -44,7 +44,7 @@ float API_SUFFIX(stdlib_strided_svarianceyc)( const CBLAS_INT N, const float cor
 
 
 /**
-* Computes the variance of a single-precision floating-point strided array using a one-pass algorithm proposed by Youngs and Cramer, using alternative indexing semantics.
+* Computes the variance of a single-precision floating-point strided array using a one-pass algorithm proposed by Youngs and Cramer and alternative indexing semantics.
 *
 * @param N           number of indexed elements
 * @param correction  degrees of freedom adjustment
@@ -65,7 +65,7 @@ float API_SUFFIX(stdlib_strided_svarianceyc_ndarray)( const CBLAS_INT N, const f
 
     n = (double)N - (double)correction;
     if ( N <= 0 || n <= 0.0f ) {
-        return 0.0f / 0.0f; // Nan
+        return 0.0f / 0.0f; // NaN
     }
     if ( N ==1 || strideX == 0 ) {
         return 0.0f;
@@ -78,8 +78,8 @@ float API_SUFFIX(stdlib_strided_svarianceyc_ndarray)( const CBLAS_INT N, const f
 		di = (double)i;
 		v = X[ ix ];
 		sum += v;
-		d = (float)(di*(double)v) - sum;
-		S += (float)(1.0/(di*(di-1.0))) * d * d;
+		d = (float)( di * (double)v ) - sum;
+		S += (float)( 1.0 / ( di * ( di-1.0 ) ) ) * d * d;
 		ix += strideX;
 	}
 	return (double)S / n;