Use Single Precision Utilities and fix description in repl

Author: MeKaustubh07

lib/node_modules/@stdlib/blas/base/ndarray/zscal/benchmark/benchmark.js

@@ -22,8 +22,8 @@
 
 var bench = require( '@stdlib/bench' );
 var uniform = require( '@stdlib/random/array/uniform' );
-var isnanf = require( '@stdlib/math/base/assert/is-nanf' );
-var realf = require( '@stdlib/complex/float64/real' );
+var isnan = require( '@stdlib/math/base/assert/is-nan' );
+var real = require( '@stdlib/complex/float64/real' );
 var pow = require( '@stdlib/math/base/special/pow' );
 var scalar2ndarray = require( '@stdlib/ndarray/from-scalar' );
 var Complex128Vector = require( '@stdlib/ndarray/vector/complex128' );
@@ -81,7 +81,7 @@ function createBenchmark( len ) {
 			}
 		}
 		b.toc();
-		if ( isnanf( realf( z.get( i%len ) ) ) ) {
+		if ( isnan( real( z.get( i%len ) ) ) ) {
 			b.fail( 'should not return NaN' );
 		}
 		b.pass( 'benchmark finished' );

lib/node_modules/@stdlib/blas/base/ndarray/zscal/docs/repl.txt

@@ -1,7 +1,7 @@
 
 {{alias}}( arrays )
-    Multiplies a one-dimensional double-precision complex floating-point
-    ndarray by a scalar constant.
+    Multiplies a one-dimensional double-precision complex floating-point ndarray
+    by a scalar constant.
 
     If provided an empty input ndarray, the function returns the input ndarray
     unchanged.
@@ -12,7 +12,7 @@
         Array-like object containing the following ndarrays:
 
         - a one-dimensional input ndarray.
-        - a zero-dimensional ndarray containing a scalar constant `alpha`.
+        - a zero-dimensional ndarray containing a scalar constant.
 
     Returns
     -------