Fix: Replace all csum references with csumkbn and update examples

Author: MeKaustubh07

lib/node_modules/@stdlib/blas/ext/base/ndarray/csumkbn/README.md

@@ -44,11 +44,11 @@ Computes the sum of all elements in a one-dimensional single-precision complex f
 var Complex64Array = require( '@stdlib/array/complex64' );
 var ndarray = require( '@stdlib/ndarray/base/ctor' );
 
-var xbuf = new Complex64Array( [ 1.0, 3.0, 4.0, 2.0 ] );
+var xbuf = new Complex64Array( [ 1.0, -2.0, 2.0, 3.0 ] );
 var x = new ndarray( 'complex64', xbuf, [ 2 ], [ 1 ], 0, 'row-major' );
 
 var v = csumkbn( [ x ] );
-// returns <Complex64>[ 5.0, 5.0 ]
+// returns <Complex64>[ 3.0, 1.0 ]
 ```
 
 The function has the following parameters:

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

@@ -1,6 +1,6 @@
 
 {{alias}}( arrays )
-    Computes the sum of all elements in one-dimensional single-precision 
+    Computes the sum of all elements in a one-dimensional single-precision 
     complex floating-point ndarray using an improved Kahan–Babuška algorithm.
 
     If provided an empty ndarray, the function returns `0.0`.

lib/node_modules/@stdlib/blas/ext/base/ndarray/csumkbn/test/test.js

@@ -63,23 +63,23 @@ tape( 'the function computes the sum of all elements in a one-dimensional ndarra
 	var v;
 
 	x = new Complex64Array( [ 1.0, -2.0, -4.0, 5.0, 0.0, 3.0 ] );
-	v = csum( [ vector( x, 3, 1, 0 ) ] );
+	v = csumkbn( [ vector( x, 3, 1, 0 ) ] );
 	t.strictEqual( isSameComplex64( v, new Complex64( -3.0, 6.0 ) ), true, 'returns expected value' );
 
 	x = new Complex64Array( [ -4.0, -5.0, -4.0, -5.0 ] );
-	v = csum( [ vector( x, 2, 1, 0 ) ] );
+	v = csumkbn( [ vector( x, 2, 1, 0 ) ] );
 	t.strictEqual( isSameComplex64( v, new Complex64( -8.0, -10.0 ) ), true, 'returns expected value' );
 
 	x = new Complex64Array( [ -0.0, 0.0, -0.0, -0.0 ] );
-	v = csum( [ vector( x, 2, 1, 0 ) ] );
+	v = csumkbn( [ vector( x, 2, 1, 0 ) ] );
 	t.strictEqual( isSameComplex64( v, new Complex64( -0.0, 0.0 ) ), true, 'returns expected value' );
 
 	x = new Complex64Array( [ NaN, NaN ] );
-	v = csum( [ vector( x, 1, 1, 0 ) ] );
+	v = csumkbn( [ vector( x, 1, 1, 0 ) ] );
 	t.strictEqual( isSameComplex64( v, new Complex64( NaN, NaN ) ), true, 'returns expected value' );
 
 	x = new Complex64Array( [ NaN, NaN, NaN, NaN ] );
-	v = csum( [ vector( x, 2, 1, 0 ) ] );
+	v = csumkbn( [ vector( x, 2, 1, 0 ) ] );
 	t.strictEqual( isSameComplex64( v, new Complex64( NaN, NaN ) ), true, 'returns expected value' );
 
 	t.end();
@@ -91,7 +91,7 @@ tape( 'if provided an empty ndarray, the function returns `0.0`', function test(
 
 	x = new Complex64Array( [] );
 
-	v = csum( [ vector( x, 0, 1, 0 ) ] );
+	v = csumkbn( [ vector( x, 0, 1, 0 ) ] );
 	t.strictEqual( isSameComplex64( v, new Complex64( 0.0, 0.0 ) ), true, 'returns expected value' );
 
 	t.end();
@@ -103,7 +103,7 @@ tape( 'if provided a ndarray containing a single element, the function returns t
 
 	x = new Complex64Array( [ 1.0, 2.0 ] );
 
-	v = csum( [ vector( x, 1, 1, 0 ) ] );
+	v = csumkbn( [ vector( x, 1, 1, 0 ) ] );
 	t.strictEqual( isSameComplex64( v, new Complex64( 1.0, 2.0 ) ), true, 'returns expected value' );
 
 	t.end();
@@ -132,7 +132,7 @@ tape( 'the function supports one-dimensional ndarrays having non-unit strides',
 		2.0
 	]);
 
-	v = csum( [ vector( x, 4, 2, 0 ) ] );
+	v = csumkbn( [ vector( x, 4, 2, 0 ) ] );
 
 	t.strictEqual( isSameComplex64( v, new Complex64( 5.0, 5.0 ) ), true, 'returns expected value' );
 	t.end();
@@ -161,7 +161,7 @@ tape( 'the function supports one-dimensional ndarrays having negative strides',
 		2.0
 	]);
 
-	v = csum( [ vector( x, 4, -2, 6 ) ] );
+	v = csumkbn( [ vector( x, 4, -2, 6 ) ] );
 
 	t.strictEqual( isSameComplex64( v, new Complex64( 5.0, 5.0 ) ), true, 'returns expected value' );
 	t.end();
@@ -192,7 +192,7 @@ tape( 'the function supports one-dimensional ndarrays having non-zero offsets',
 		2.0
 	]);
 
-	v = csum( [ vector( x, 4, 2, 1 ) ] );
+	v = csumkbn( [ vector( x, 4, 2, 1 ) ] );
 	t.strictEqual( isSameComplex64( v, new Complex64( 5.0, 5.0 ) ), true, 'returns expected value' );
 
 	t.end();