test: 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: na
  - task: lint_package_json
    status: na
  - task: lint_repl_help
    status: na
  - task: lint_javascript_src
    status: na
  - task: lint_javascript_cli
    status: na
  - task: lint_javascript_examples
    status: na
  - 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: na
  - task: lint_typescript_tests
    status: na
  - task: lint_license_headers
    status: passed
---

Author: headlessNode

lib/node_modules/@stdlib/blas/ext/last-index-of/test/test.assign.js

@@ -26,6 +26,7 @@ var ndarray = require( '@stdlib/ndarray/ctor' );
 var zeros = require( '@stdlib/ndarray/zeros' );
 var ndarray2array = require( '@stdlib/ndarray/to-array' );
 var scalar2ndarray = require( '@stdlib/ndarray/from-scalar' );
+var Int32Array = require( '@stdlib/array/int32' );
 var getDType = require( '@stdlib/ndarray/dtype' );
 var getShape = require( '@stdlib/ndarray/shape' );
 var getOrder = require( '@stdlib/ndarray/order' );
@@ -1518,7 +1519,7 @@ tape( 'the function supports providing a from index (0d ndarray, options)', func
 	t.end();
 });
 
-tape( 'the function supports providing a from index (scalar, broadcasted)', function test( t ) {
+tape( 'the function supports providing a from index and operation dimension', function test( t ) {
 	var expected;
 	var actual;
 	var xbuf;
@@ -1583,7 +1584,7 @@ tape( 'the function supports providing a from index (scalar, broadcasted)', func
 	t.end();
 });
 
-tape( 'the function supports providing a from index (0d ndarray, broadcasted)', function test( t ) {
+tape( 'the function supports providing a from index and operation dimension (0d ndarray)', function test( t ) {
 	var expected;
 	var fromIdx;
 	var actual;
@@ -1651,3 +1652,44 @@ tape( 'the function supports providing a from index (0d ndarray, broadcasted)',
 
 	t.end();
 });
+
+tape( 'the function supports providing an ndarray from index and search element with operation dimension (1d ndarray)', function test( t ) {
+	var searchElement;
+	var expected;
+	var fromIdx;
+	var actual;
+	var xbuf;
+	var x;
+	var y;
+
+	/*
+	* [
+	*     1.0, -2.0,
+	*     2.0, -3.0,
+	*     3.0, -4.0,
+	*     2.0, -3.0,
+	*     5.0, -6.0
+	* ]
+	*/
+	xbuf = [ 1.0, -2.0, 2.0, -3.0, 3.0, -4.0, 2.0, -3.0, 5.0, -6.0 ];
+	x = new ndarray( 'generic', xbuf, [ 5, 2 ], [ 2, 1 ], 0, 'row-major' );
+	y = zeros( [ 2 ], {
+		'dtype': 'generic'
+	});
+
+	fromIdx = new ndarray( 'int32', new Int32Array( [ 4, 4 ] ), [ 2 ], [ 1 ], 0, 'row-major' );
+	searchElement = new ndarray( 'generic', [ 2.0, -3.0 ], [ 2 ], [ 1 ], 0, 'row-major' );
+	actual = lastIndexOf( x, searchElement, fromIdx, y, {
+		'dim': 0
+	});
+	expected = [ 3, 3 ];
+
+	t.strictEqual( isndarrayLike( actual ), true, 'returns expected value' );
+	t.strictEqual( getDType( actual ), 'generic', 'returns expected value' );
+	t.deepEqual( getShape( actual ), [ 2 ], 'returns expected value' );
+	t.strictEqual( getOrder( actual ), getOrder( x ), 'returns expected value' );
+	t.deepEqual( ndarray2array( actual ), expected, 'returns expected value' );
+	t.strictEqual( ( y === actual ), true, 'returns expected value' );
+
+	t.end();
+});

lib/node_modules/@stdlib/blas/ext/last-index-of/test/test.main.js

@@ -24,6 +24,7 @@ var tape = require( 'tape' );
 var isndarrayLike = require( '@stdlib/assert/is-ndarray-like' );
 var ndarray = require( '@stdlib/ndarray/ctor' );
 var zeros = require( '@stdlib/ndarray/zeros' );
+var Int32Array = require( '@stdlib/array/int32' );
 var ndarray2array = require( '@stdlib/ndarray/to-array' );
 var scalar2ndarray = require( '@stdlib/ndarray/from-scalar' );
 var getDType = require( '@stdlib/ndarray/dtype' );
@@ -1212,7 +1213,7 @@ tape( 'the function supports providing a from index (0d ndarray, options)', func
 	t.end();
 });
 
-tape( 'the function supports providing a from index (scalar, broadcasted)', function test( t ) {
+tape( 'the function supports providing a from index and operation dimension', function test( t ) {
 	var expected;
 	var actual;
 	var xbuf;
@@ -1267,7 +1268,7 @@ tape( 'the function supports providing a from index (scalar, broadcasted)', func
 	t.end();
 });
 
-tape( 'the function supports providing a from index (0d ndarray, broadcasted)', function test( t ) {
+tape( 'the function supports providing a from index and operation dimension (0d ndarray)', function test( t ) {
 	var expected;
 	var fromIdx;
 	var actual;
@@ -1325,3 +1326,39 @@ tape( 'the function supports providing a from index (0d ndarray, broadcasted)',
 
 	t.end();
 });
+
+tape( 'the function supports providing an ndarray from index and search element with operation dimension (1d ndarray)', function test( t ) {
+	var searchElement;
+	var expected;
+	var fromIdx;
+	var actual;
+	var xbuf;
+	var x;
+
+	/*
+	* [
+	*     1.0, -2.0,
+	*     2.0, -3.0,
+	*     3.0, -4.0,
+	*     2.0, -3.0,
+	*     5.0, -6.0
+	* ]
+	*/
+	xbuf = [ 1.0, -2.0, 2.0, -3.0, 3.0, -4.0, 2.0, -3.0, 5.0, -6.0 ];
+	x = new ndarray( 'generic', xbuf, [ 5, 2 ], [ 2, 1 ], 0, 'row-major' );
+
+	fromIdx = new ndarray( 'int32', new Int32Array( [ 4, 4 ] ), [ 2 ], [ 1 ], 0, 'row-major' );
+	searchElement = new ndarray( 'generic', [ 2.0, -3.0 ], [ 2 ], [ 1 ], 0, 'row-major' );
+	actual = lastIndexOf( x, searchElement, fromIdx, {
+		'dim': 0
+	});
+	expected = [ 3, 3 ];
+
+	t.strictEqual( isndarrayLike( actual ), true, 'returns expected value' );
+	t.strictEqual( getDType( actual ), 'generic', 'returns expected value' );
+	t.deepEqual( getShape( actual ), [ 2 ], 'returns expected value' );
+	t.strictEqual( getOrder( actual ), getOrder( x ), 'returns expected value' );
+	t.deepEqual( ndarray2array( actual ), expected, 'returns expected value' );
+
+	t.end();
+});