docs: improve doctests for ndarray instances in blas/ext/base/ndarray/gcusumkbn2

PR-URL: #11576
Reviewed-by: Athan Reines <kgryte@gmail.com>
Ref: #9329

Author: udaykakade25

lib/node_modules/@stdlib/blas/ext/base/ndarray/gcusumkbn2/README.md

@@ -41,7 +41,6 @@ var gcusumkbn2 = require( '@stdlib/blas/ext/base/ndarray/gcusumkbn2' );
 Computes the cumulative sum of a one-dimensional ndarray using a second-order iterative Kahan–Babuška algorithm.
 
 ```javascript
-var ndarray2array = require( '@stdlib/ndarray/to-array' );
 var scalar2ndarray = require( '@stdlib/ndarray/base/from-scalar' );
 var ndarray = require( '@stdlib/ndarray/base/ctor' );
 
@@ -54,13 +53,10 @@ var y = new ndarray( 'generic', ybuf, [ 4 ], [ 1 ], 0, 'row-major' );
 var initial = scalar2ndarray( 0.0, 'generic', 'row-major' );
 
 var v = gcusumkbn2( [ x, y, initial ] );
-// returns <ndarray>
+// returns <ndarray>[ 1.0, 4.0, 8.0, 10.0 ]
 
 var bool = ( v === y );
 // returns true
-
-var arr = ndarray2array( v );
-// returns [ 1.0, 4.0, 8.0, 10.0 ]
 ```
 
 The function has the following parameters:

lib/node_modules/@stdlib/blas/ext/base/ndarray/gcusumkbn2/docs/repl.txt

@@ -30,9 +30,8 @@
     > var x = new {{alias:@stdlib/ndarray/ctor}}( dt, xbuf, sh, st, oo, ord );
     > var y = new {{alias:@stdlib/ndarray/ctor}}( dt, ybuf, sh, st, oo, ord );
     > var s = {{alias:@stdlib/ndarray/from-scalar}}( 0.0, { 'dtype': dt } );
-    > {{alias}}( [ x, y, s ] );
-    > {{alias:@stdlib/ndarray/to-array}}( y )
-    [ 1.0, -1.0, 1.0 ]
+    > {{alias}}( [ x, y, s ] )
+    <ndarray>[ 1.0, -1.0, 1.0 ]
 
     See Also
     --------

lib/node_modules/@stdlib/blas/ext/base/ndarray/gcusumkbn2/docs/types/index.d.ts

@@ -29,7 +29,6 @@ import { typedndarray } from '@stdlib/types/ndarray';
 * @returns output ndarray
 *
 * @example
-* var ndarray2array = require( '@stdlib/ndarray/to-array' );
 * var scalar2ndarray = require( '@stdlib/ndarray/base/from-scalar' );
 * var ndarray = require( '@stdlib/ndarray/base/ctor' );
 *
@@ -42,13 +41,10 @@ import { typedndarray } from '@stdlib/types/ndarray';
 * var initial = scalar2ndarray( 0.0, 'generic', 'row-major' );
 *
 * var v = gcusumkbn2( [ x, y, initial ] );
-* // returns <ndarray>
+* // returns <ndarray>[ 1.0, 4.0, 8.0, 10.0 ]
 *
 * var bool = ( v === y );
 * // returns true
-*
-* var arr = ndarray2array( v );
-* // returns [ 1.0, 4.0, 8.0, 10.0 ]
 */
 declare function gcusumkbn2<T extends typedndarray<number> = typedndarray<number>>( arrays: [ T, T, T ] ): T;
 

lib/node_modules/@stdlib/blas/ext/base/ndarray/gcusumkbn2/lib/index.js

@@ -24,7 +24,6 @@
 * @module @stdlib/blas/ext/base/ndarray/gcusumkbn2
 *
 * @example
-* var ndarray2array = require( '@stdlib/ndarray/to-array' );
 * var ndarray = require( '@stdlib/ndarray/base/ctor' );
 * var scalar2ndarray = require( '@stdlib/ndarray/base/from-scalar' );
 * var gcusumkbn2 = require( '@stdlib/blas/ext/base/ndarray/gcusumkbn2' );
@@ -38,13 +37,10 @@
 * var initial = scalar2ndarray( 0.0, 'generic', 'row-major' );
 *
 * var v = gcusumkbn2( [ x, y, initial ] );
-* // returns <ndarray>
+* // returns <ndarray>[ 1.0, 4.0, 8.0, 10.0 ]
 *
 * var bool = ( v === y );
 * // returns true
-*
-* var arr = ndarray2array( v );
-* // returns [ 1.0, 4.0, 8.0, 10.0 ]
 */
 
 // MODULES //

lib/node_modules/@stdlib/blas/ext/base/ndarray/gcusumkbn2/lib/main.js

@@ -37,7 +37,6 @@ var strided = require( '@stdlib/blas/ext/base/gcusumkbn2' ).ndarray;
 * @returns {Object} output ndarray
 *
 * @example
-* var ndarray2array = require( '@stdlib/ndarray/to-array' );
 * var ndarray = require( '@stdlib/ndarray/base/ctor' );
 * var scalar2ndarray = require( '@stdlib/ndarray/base/from-scalar' );
 *
@@ -50,13 +49,10 @@ var strided = require( '@stdlib/blas/ext/base/gcusumkbn2' ).ndarray;
 * var initial = scalar2ndarray( 0.0, 'generic', 'row-major' );
 *
 * var v = gcusumkbn2( [ x, y, initial ] );
-* // returns <ndarray>
+* // returns <ndarray>[ 1.0, 4.0, 8.0, 10.0 ]
 *
 * var bool = ( v === y );
 * // returns true
-*
-* var arr = ndarray2array( v );
-* // returns [ 1.0, 4.0, 8.0, 10.0 ]
 */
 function gcusumkbn2( arrays ) {
 	var x = arrays[ 0 ];