chore: apply suggestions from code review

---
type: pre_commit_static_analysis_report
description: Results of running static analysis checks when committing changes.
report:
  - task: lint_filenames
    status: passed
  - task: lint_editorconfig
    status: passed
  - task: lint_markdown
    status: passed
  - task: lint_package_json
    status: na
  - task: lint_repl_help
    status: na
  - task: lint_javascript_src
    status: passed
  - task: lint_javascript_cli
    status: na
  - task: lint_javascript_examples
    status: passed
  - task: lint_javascript_tests
    status: passed
  - task: lint_javascript_benchmarks
    status: na
  - task: lint_python
    status: na
  - task: lint_r
    status: na
  - task: lint_c_src
    status: na
  - task: lint_c_examples
    status: na
  - task: lint_c_benchmarks
    status: na
  - task: lint_c_tests_fixtures
    status: na
  - task: lint_shell
    status: na
  - task: lint_typescript_declarations
    status: passed
  - task: lint_typescript_tests
    status: na
  - task: lint_license_headers
    status: passed
---

Author: headlessNode

lib/node_modules/@stdlib/ndarray/to-reversed/README.md

@@ -45,15 +45,12 @@ var toReversed = require( '@stdlib/ndarray/to-reversed' );
 Returns a new [`ndarray`][@stdlib/ndarray/ctor] where the order of elements of an input [`ndarray`][@stdlib/ndarray/ctor] is reversed along each dimension.
 
 ```javascript
-var ndarray = require( '@stdlib/ndarray/ctor' );
+var array = require( '@stdlib/ndarray/array' );
 var ndarray2array = require( '@stdlib/ndarray/to-array' );
 
-var buffer = [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ];
-var shape = [ 3, 2 ];
-var strides = [ 2, 1 ];
-var offset = 0;
-
-var x = ndarray( 'generic', buffer, shape, strides, offset, 'row-major' );
+var x = array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ], {
+    'shape': [ 3, 2 ]
+});
 // returns <ndarray>
 
 var arr = ndarray2array( x );
@@ -87,23 +84,14 @@ arr = ndarray2array( y );
 <!-- eslint no-undef: "error" -->
 
 ```javascript
-var ndarray = require( '@stdlib/ndarray/ctor' );
+var uniform = require( '@stdlib/random/uniform' );
 var ndarray2array = require( '@stdlib/ndarray/to-array' );
 var toReversed = require( '@stdlib/ndarray/to-reversed' );
 
-var buffer = [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0 ];
-var shape = [ 2, 2, 2 ];
-var strides = [ 4, 2, 1 ];
-var offset = 0;
-
-var x = ndarray( 'generic', buffer, shape, strides, offset, 'row-major' );
-// returns <ndarray>
-
+var x = uniform( [ 3, 3, 3 ], -10.0, 10.0 );
 console.log( ndarray2array( x ) );
 
 var y = toReversed( x );
-// returns <ndarray>
-
 console.log( ndarray2array( y ) );
 ```
 

lib/node_modules/@stdlib/ndarray/to-reversed/examples/index.js

@@ -18,21 +18,12 @@
 
 'use strict';
 
-var ndarray = require( '@stdlib/ndarray/ctor' );
+var uniform = require( '@stdlib/random/uniform' );
 var ndarray2array = require( '@stdlib/ndarray/to-array' );
 var toReversed = require( './../lib' );
 
-var buffer = [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0 ];
-var shape = [ 2, 2, 2 ];
-var strides = [ 4, 2, 1 ];
-var offset = 0;
-
-var x = ndarray( 'generic', buffer, shape, strides, offset, 'row-major' );
-// returns <ndarray>
-
+var x = uniform( [ 3, 3, 3 ], -10.0, 10.0 );
 console.log( ndarray2array( x ) );
 
 var y = toReversed( x );
-// returns <ndarray>
-
 console.log( ndarray2array( y ) );

lib/node_modules/@stdlib/ndarray/to-reversed/lib/main.js

@@ -31,7 +31,7 @@ var format = require( '@stdlib/string/format' );
 * Returns a new ndarray where the order of elements of an input ndarray is reversed along each dimension.
 *
 * @param {ndarray} x - input array
-* @throws {TypeError} first argument must be an ndarray having one or more dimensions
+* @throws {TypeError} first argument must be an ndarray
 * @returns {ndarray} output ndarray
 *
 * @example

lib/node_modules/@stdlib/ndarray/to-reversed/test/test.js

@@ -21,10 +21,12 @@
 // MODULES //
 
 var tape = require( 'tape' );
+var isEqualDataType = require( '@stdlib/ndarray/base/assert/is-equal-data-type' );
 var isndarrayLike = require( '@stdlib/assert/is-ndarray-like' );
 var zeroTo = require( '@stdlib/array/zero-to' );
 var scalar2ndarray = require( '@stdlib/ndarray/from-scalar' );
 var getShape = require( '@stdlib/ndarray/shape' );
+var getDType = require( '@stdlib/ndarray/dtype' );
 var ndarray2array = require( '@stdlib/ndarray/to-array' );
 var ndarray = require( '@stdlib/ndarray/ctor' );
 var toReversed = require( './../lib' );
@@ -78,9 +80,11 @@ tape( 'the function returns a new zero-dimensional ndarray if provided a zero-di
 
 	actual = toReversed( x );
 
+	t.notEqual( actual, x, 'returns expected value' );
 	t.strictEqual( isndarrayLike( actual ), true, 'returns expected value' );
 	t.strictEqual( actual.get(), x.get(), 'returns expected value' );
 	t.deepEqual( getShape( x ), getShape( actual ), 'returns expected value' );
+	t.strictEqual( isEqualDataType( getDType( actual ), getDType( x ) ), true, 'returns expected value' );
 
 	t.end();
 });
@@ -106,8 +110,10 @@ tape( 'the function returns a new ndarray where the order of elements along each
 	actual = toReversed( x );
 	expected = [ 8, 6, 4, 2, 0 ];
 
+	t.notEqual( actual, x, 'returns expected value' );
 	t.strictEqual( isndarrayLike( actual ), true, 'returns expected value' );
 	t.deepEqual( getShape( x ), getShape( actual ), 'returns exepcted value' );
+	t.strictEqual( isEqualDataType( getDType( actual ), getDType( x ) ), true, 'returns expected value' );
 	t.deepEqual( ndarray2array( actual ), expected, 'returns expected value' );
 
 	t.end();
@@ -138,8 +144,10 @@ tape( 'the function returns a new ndarray where the order of elements along each
 		[ 2, 0 ]
 	];
 
+	t.notEqual( actual, x, 'returns expected value' );
 	t.strictEqual( isndarrayLike( actual ), true, 'returns expected value' );
 	t.deepEqual( getShape( x ), getShape( actual ), 'returns expected value' );
+	t.strictEqual( isEqualDataType( getDType( actual ), getDType( x ) ), true, 'returns expected value' );
 	t.deepEqual( ndarray2array( actual ), expected, 'returns expected value' );
 
 	t.end();
@@ -177,8 +185,10 @@ tape( 'the function returns a new ndarray where the order of elements along each
 		]
 	];
 
+	t.notEqual( actual, x, 'returns expected value' );
 	t.strictEqual( isndarrayLike( actual ), true, 'returns expected value' );
 	t.deepEqual( getShape( x ), getShape( actual ), 'returns expected value' );
+	t.strictEqual( isEqualDataType( getDType( actual ), getDType( x ) ), true, 'returns expected value' );
 	t.deepEqual( ndarray2array( actual ), expected, 'returns expected value' );
 
 	t.end();