docs: improve doctests for ndarray instances in stats/base/ndarray/dcumin

PR-URL: #11521
Reviewed-by: Athan Reines <kgryte@gmail.com>
Ref: #9329

Author: udaykakade25

lib/node_modules/@stdlib/stats/base/ndarray/dcumin/README.md

@@ -42,7 +42,6 @@ Computes the cumulative minimum value of a one-dimensional double-precision floa
 
 ```javascript
 var Float64Array = require( '@stdlib/array/float64' );
-var ndarray2array = require( '@stdlib/ndarray/to-array' );
 var ndarray = require( '@stdlib/ndarray/base/ctor' );
 
 var xbuf = new Float64Array( [ 1.0, 3.0, 4.0, 2.0 ] );
@@ -52,13 +51,10 @@ var ybuf = new Float64Array( [ 0.0, 0.0, 0.0, 0.0 ] );
 var y = new ndarray( 'float64', xbuf, [ 4 ], [ 1 ], 0, 'row-major' );
 
 var v = dcumin( [ x, y ] );
-// returns <ndarray>
+// returns <ndarray>[ 1.0, 1.0, 1.0, 1.0 ]
 
 var bool = ( v === y );
 // returns true
-
-var arr = ndarray2array( v );
-// returns [ 1.0, 1.0, 1.0, 1.0 ]
 ```
 
 The function has the following parameters:

lib/node_modules/@stdlib/stats/base/ndarray/dcumin/docs/repl.txt

@@ -28,9 +28,8 @@
     > var ord = 'row-major';
     > 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 );
-    > {{alias}}( [ x, y ] );
-    > {{alias:@stdlib/ndarray/to-array}}( y )
-    [ 1.0, -2.0, -2.0 ]
+    > {{alias}}( [ x, y ] )
+    <ndarray>[ 1.0, -2.0, -2.0 ]
 
     See Also
     --------

lib/node_modules/@stdlib/stats/base/ndarray/dcumin/docs/types/index.d.ts

@@ -30,7 +30,6 @@ import { float64ndarray } from '@stdlib/types/ndarray';
 *
 * @example
 * var Float64Array = require( '@stdlib/array/float64' );
-* var ndarray2array = require( '@stdlib/ndarray/to-array' );
 * var ndarray = require( '@stdlib/ndarray/base/ctor' );
 *
 * var xbuf = new Float64Array( [ 1.0, 3.0, 4.0, 2.0 ] );
@@ -40,13 +39,10 @@ import { float64ndarray } from '@stdlib/types/ndarray';
 * var y = new ndarray( 'float64', ybuf, [ 4 ], [ 1 ], 0, 'row-major' );
 *
 * var v = dcumin( [ x, y ] );
-* // returns <ndarray>
+* // returns <ndarray>[ 1.0, 1.0, 1.0, 1.0 ]
 *
 * var bool = ( v === y );
 * // returns true
-*
-* var arr = ndarray2array( v );
-* // returns [ 1.0, 1.0, 1.0, 1.0 ]
 */
 declare function dcumin( arrays: [ float64ndarray, float64ndarray ] ): float64ndarray;
 

lib/node_modules/@stdlib/stats/base/ndarray/dcumin/lib/index.js

@@ -25,7 +25,6 @@
 *
 * @example
 * var Float64Array = require( '@stdlib/array/float64' );
-* var ndarray2array = require( '@stdlib/ndarray/to-array' );
 * var ndarray = require( '@stdlib/ndarray/base/ctor' );
 * var dcumin = require( '@stdlib/stats/base/ndarray/dcumin' );
 *
@@ -36,13 +35,10 @@
 * var y = new ndarray( 'float64', xbuf, [ 4 ], [ 1 ], 0, 'row-major' );
 *
 * var v = dcumin( [ x, y ] );
-* // returns <ndarray>
+* // returns <ndarray>[ 1.0, 1.0, 1.0, 1.0 ]
 *
 * var bool = ( v === y );
 * // returns true
-*
-* var arr = ndarray2array( v );
-* // returns [ 1.0, 1.0, 1.0, 1.0 ]
 */
 
 // MODULES //

lib/node_modules/@stdlib/stats/base/ndarray/dcumin/lib/main.js

@@ -37,7 +37,6 @@ var strided = require( '@stdlib/stats/strided/dcumin' ).ndarray;
 *
 * @example
 * var Float64Array = require( '@stdlib/array/float64' );
-* var ndarray2array = require( '@stdlib/ndarray/to-array' );
 * var ndarray = require( '@stdlib/ndarray/base/ctor' );
 *
 * var xbuf = new Float64Array( [ 1.0, 3.0, 4.0, 2.0 ] );
@@ -47,13 +46,10 @@ var strided = require( '@stdlib/stats/strided/dcumin' ).ndarray;
 * var y = new ndarray( 'float64', xbuf, [ 4 ], [ 1 ], 0, 'row-major' );
 *
 * var v = dcumin( [ x, y ] );
-* // returns <ndarray>
+* // returns <ndarray>[ 1.0, 1.0, 1.0, 1.0 ]
 *
 * var bool = ( v === y );
 * // returns true
-*
-* var arr = ndarray2array( v );
-* // returns [ 1.0, 1.0, 1.0, 1.0 ]
 */
 function dcumin( arrays ) {
 	var x = arrays[ 0 ];