refactor: 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: passed
  - task: lint_javascript_cli
    status: na
  - task: lint_javascript_examples
    status: na
  - task: lint_javascript_tests
    status: passed
  - task: lint_javascript_benchmarks
    status: passed
  - 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: passed
  - task: lint_license_headers
    status: passed
---

Author: headlessNode

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

@@ -71,7 +71,7 @@ function createBenchmark( len ) {
 
 		b.tic();
 		for ( i = 0; i < b.iterations; i++ ) {
-			o = lastIndexOf.assign( x, 10.0, out );
+			o = lastIndexOf.assign( x, 100.0, out );
 			if ( typeof o !== 'object' ) {
 				b.fail( 'should return an ndarray' );
 			}

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

@@ -63,7 +63,7 @@ function createBenchmark( len ) {
 
 		b.tic();
 		for ( i = 0; i < b.iterations; i++ ) {
-			o = lastIndexOf( x, 10.0 );
+			o = lastIndexOf( x, 100.0 );
 			if ( typeof o !== 'object' ) {
 				b.fail( 'should return an ndarray' );
 			}

lib/node_modules/@stdlib/blas/ext/last-index-of/docs/types/test.ts

@@ -140,7 +140,7 @@ import lastIndexOf = require( './index' );
 }
 
 
-// The compiler throws an error if the function is provided a options argument which is not an object...
+// The compiler throws an error if the function is provided an options argument which is not an object...
 {
 	const x = zeros( [ 2, 2 ], {
 		'dtype': 'float64'
@@ -355,7 +355,7 @@ import lastIndexOf = require( './index' );
 	lastIndexOf.assign( x, 0.0, ( x: number ): number => x, y, {} ); // $ExpectError
 }
 
-// The compiler throws an error if the `assign` method is provided a output argument which is not an ndarray...
+// The compiler throws an error if the `assign` method is provided an output argument which is not an ndarray...
 {
 	const x = zeros( [ 2, 2 ], {
 		'dtype': 'float64'
@@ -394,7 +394,7 @@ import lastIndexOf = require( './index' );
 	lastIndexOf.assign( x, 0.0, 1, ( x: number ): number => x, {} ); // $ExpectError
 }
 
-// The compiler throws an error if the `assign` method is provided a options argument which is not an object...
+// The compiler throws an error if the `assign` method is provided an options argument which is not an object...
 {
 	const x = zeros( [ 2, 2 ], {
 		'dtype': 'float64'

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

@@ -56,7 +56,7 @@ var DEFAULT_DTYPE = defaults.get( 'dtypes.integer_index' );
 * @throws {TypeError} third argument must be either an ndarray-like object or an integer
 * @throws {TypeError} output argument must be an ndarray-like object
 * @throws {TypeError} options argument must be an object
-* @throws {RangeError} dimension dimension index must not exceed input ndarray bounds
+* @throws {RangeError} dimension index must not exceed input ndarray bounds
 * @throws {RangeError} first argument must have at least one dimension
 * @throws {Error} must provide valid options
 * @returns {ndarray} output ndarray

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

@@ -53,7 +53,7 @@ var DEFAULT_DTYPE = defaults.get( 'dtypes.integer_index' );
 * @param {boolean} [options.keepdims=false] - boolean indicating whether the reduced dimensions should be included in the returned ndarray as singleton dimensions
 * @param {string} [options.dtype] - output ndarray data type
 * @throws {TypeError} first argument must be an ndarray-like object
-* @throws {TypeError} the function must be provided at least two arguments
+* @throws {TypeError} second argument must be either an ndarray-like object or a scalar value
 * @throws {TypeError} third argument must be either an ndarray-like object or an integer
 * @throws {TypeError} options argument must be an object
 * @throws {RangeError} dimension index must not exceed input ndarray bounds