fix: 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: na
  - 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/index-of/lib/base.js

@@ -61,14 +61,14 @@ var table = {
 * @name indexOf
 * @type {Function}
 * @param {ndarrayLike} x - input ndarray
-* @param {(ndarrayLike|number)} searchElement - search element
-* @param {(ndarrayLike|number)} [fromIndex] - index from which to begin searching
+* @param {ndarrayLike} searchElement - search element
+* @param {ndarrayLike} fromIndex - indices from which to begin searching
 * @param {Options} [options] - function options
 * @param {IntegerArray} [options.dims] - list of dimensions over which to perform operation
 * @param {string} [options.dtype] - output ndarray data type
 * @throws {TypeError} first argument must be an ndarray-like object
-* @throws {TypeError} search element argument must be either an ndarray-like object or a scalar value
-* @throws {TypeError} from index argument must be either an ndarray-like object or a scalar value
+* @throws {TypeError} second argument must be either an ndarray-like object
+* @throws {TypeError} third argument must be either an ndarray-like object
 * @throws {TypeError} options argument must be an object
 * @throws {RangeError} dimension indices must not exceed input ndarray bounds
 * @throws {RangeError} number of dimension indices must not exceed the number of input ndarray dimensions
@@ -77,6 +77,7 @@ var table = {
 *
 * @example
 * var Float64Array = require( '@stdlib/array/float64' );
+* var scalar2ndarray = require( '@stdlib/ndarray/from-scalar' );
 * var ndarray = require( '@stdlib/ndarray/ctor' );
 *
 * // Create a data buffer:
@@ -94,8 +95,18 @@ var table = {
 * // Create an input ndarray:
 * var x = new ndarray( 'float64', xbuf, sh, sx, ox, 'row-major' );
 *
+* // Create a search element ndarray:
+* var searchElement = scalar2ndarray( 4.0, {
+*     'dtype': 'float64'
+* })
+*
+* // Create a from index ndarray:
+* var fromIndex = scalar2ndarray( 0, {
+*     'dtype': 'int32'
+* })
+*
 * // Find index:
-* var out = indexOf( x, 4.0 );
+* var out = indexOf( x, searchElement, fromIndex );
 * // returns <ndarray>
 *
 * var idx = out.get();