fix: apply suggestion 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: na
  - 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: na
  - task: lint_javascript_tests
    status: passed
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    status: na
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    status: na
  - task: lint_c_src
    status: na
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    status: na
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    status: na
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    status: na
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    status: na
  - task: lint_typescript_declarations
    status: passed
  - task: lint_typescript_tests
    status: passed
  - task: lint_license_headers
    status: passed
---

Author: headlessNode

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

@@ -20,11 +20,15 @@
 
 /// <reference types="@stdlib/types"/>
 
-import { typedndarray } from '@stdlib/types/ndarray';
+import { typedndarray, float32ndarray } from '@stdlib/types/ndarray';
 
 /**
 * Sorts a one-dimensional single-precision floating-point ndarray using heapsort.
 *
+* ## Notes
+*
+* -   When the sort order is less than zero, the input ndarray is sorted in **decreasing** order. When the sort order is greater than zero, the input ndarray is sorted in **increasing** order. When the sort order is equal to zero, the input ndarray is left unchanged.
+*
 * @param arrays - array-like object containing a one-dimensional input ndarray and a zero-dimensional ndarray specifying the sort order
 * @returns input ndarray
 *
@@ -47,7 +51,7 @@ import { typedndarray } from '@stdlib/types/ndarray';
 * var arr = ndarray2array( out );
 * // returns [ -4.0, -2.0, 1.0, 3.0 ]
 */
-declare function ssorthp<T = unknown>( arrays: [ typedndarray<T>, typedndarray<number> ] ): typedndarray<T>;
+declare function ssorthp( arrays: [ float32ndarray, typedndarray<number> ] ): float32ndarray;
 
 
 // EXPORTS //

lib/node_modules/@stdlib/blas/ext/base/ndarray/ssorthp/docs/types/test.ts

@@ -34,7 +34,7 @@ import ssorthp = require( './index' );
 		'dtype': 'generic'
 	});
 
-	ssorthp( [ x, order ] ); // $ExpectType typedndarray<number>
+	ssorthp( [ x, order ] ); // $ExpectType float32ndarray
 }
 
 // The compiler throws an error if the function is provided a first argument which is not an array of ndarrays...

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

@@ -33,6 +33,10 @@ var strided = require( '@stdlib/blas/ext/base/ssorthp' ).ndarray;
 /**
 * Sorts a one-dimensional single-precision floating-point ndarray using heapsort.
 *
+* ## Notes
+*
+* -   When the sort order is less than zero, the input ndarray is sorted in **decreasing** order. When the sort order is greater than zero, the input ndarray is sorted in **increasing** order. When the sort order is equal to zero, the input ndarray is left unchanged.
+*
 * @param {ArrayLikeObject<Object>} arrays - array-like object containing a one-dimensional input ndarray and a zero-dimensional ndarray specifying the sort order
 * @returns {ndarray} input ndarray
 *

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

@@ -23,6 +23,11 @@
 var tape = require( 'tape' );
 var Float32Array = require( '@stdlib/array/float32' );
 var scalar2ndarray = require( '@stdlib/ndarray/from-scalar' );
+var getData = require( '@stdlib/ndarray/data-buffer' );
+var getDtype = require( '@stdlib/ndarray/dtype' );
+var getStrides = require( '@stdlib/ndarray/strides' );
+var getOffset = require( '@stdlib/ndarray/offset' );
+var getShape = require( '@stdlib/ndarray/shape' );
 var ndarray = require( '@stdlib/ndarray/base/ctor' );
 var ssorthp = require( './../lib' );
 
@@ -46,11 +51,12 @@ tape( 'the function sorts a one-dimensional ndarray (increasing order)', functio
 	});
 
 	actual = ssorthp( [ x, order ] );
-	t.strictEqual( actual.dtype, x.dtype, 'returns expected value' );
-	t.deepEqual( [ 1.0, 2.0, 3.0, 4.0, 5.0 ], x.data, 'returns expected value' );
-	t.deepEqual( actual.shape, x.shape, 'returns expected value' );
-	t.deepEqual( actual.strides, x.strides, 'return expected value' );
-	t.strictEqual( actual.offset, x.offset, 'returns expected value' );
+	t.strictEqual( actual, x, 'returns expected value' );
+	t.strictEqual( getDtype( actual ), 'float32', 'returns expected value' );
+	t.deepEqual( getData( actual ), new Float32Array( [ 1.0, 2.0, 3.0, 4.0, 5.0 ] ), 'returns expected value' );
+	t.deepEqual( getShape( actual ), [ 5 ], 'returns expected value' );
+	t.deepEqual( getStrides( actual ), [ 1 ], 'return expected value' );
+	t.strictEqual( getOffset( actual ), 0, 'returns expected value' );
 
 	t.end();
 });
@@ -66,11 +72,12 @@ tape( 'the function sorts a one-dimensional ndarray (decreasing order)', functio
 	});
 
 	actual = ssorthp( [ x, order ] );
-	t.strictEqual( actual.dtype, x.dtype, 'returns expected value' );
-	t.deepEqual( [ 5.0, 4.0, 3.0, 2.0, 1.0 ], x.data, 'returns expected value' );
-	t.deepEqual( actual.shape, x.shape, 'returns expected value' );
-	t.deepEqual( actual.strides, x.strides, 'return expected value' );
-	t.strictEqual( actual.offset, x.offset, 'returns expected value' );
+	t.strictEqual( actual, x, 'returns expected value' );
+	t.strictEqual( getDtype( actual ), 'float32', 'returns expected value' );
+	t.deepEqual( getData( actual ), new Float32Array( [ 5.0, 4.0, 3.0, 2.0, 1.0 ] ), 'returns expected value' );
+	t.deepEqual( getShape( actual ), [ 5 ], 'returns expected value' );
+	t.deepEqual( getStrides( actual ), [ 1 ], 'return expected value' );
+	t.strictEqual( getOffset( actual ), 0, 'returns expected value' );
 
 	t.end();
 });