chore: minor clean-up

---
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: passed
  - 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: 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: passed
  - task: lint_typescript_tests
    status: na
  - task: lint_license_headers
    status: passed
---

Author: Planeshifter

lib/node_modules/@stdlib/blas/ext/linspace/benchmark/benchmark.js

@@ -58,7 +58,7 @@ function createBenchmark( len ) {
 
 		b.tic();
 		for ( i = 0; i < b.iterations; i++ ) {
-			o = linspace( [ len ], i, i+100, true );
+			o = linspace( [ len ], i, i+100, true, options );
 			if ( typeof o !== 'object' ) {
 				b.fail( 'should return an ndarray' );
 			}

lib/node_modules/@stdlib/blas/ext/linspace/docs/repl.txt

@@ -170,7 +170,7 @@
     Parameters
     ----------
     out: ndarray
-        Output array. Must have a numeric or "generic" data type.
+        Output array. Must have a floating-point or "generic" data type.
 
     start: ndarray|number|Complex
         Start of interval. May be either a number, a complex number, or an

lib/node_modules/@stdlib/blas/ext/linspace/lib/assign.js

@@ -55,9 +55,9 @@ var base = require( './base.js' );
 * @param {Options} [options] - function options
 * @param {IntegerArray} [options.dims=[-1]] - list of dimensions over which to perform operation
 * @throws {TypeError} first argument must be an ndarray-like object having at least one dimension
-* @throws {TypeError} second argument must be an ndarray-like object
-* @throws {TypeError} third argument must be an ndarray-like object
-* @throws {TypeError} fourth argument must be an ndarray-like object
+* @throws {TypeError} second argument must be either a number, complex number, or an ndarray-like object
+* @throws {TypeError} third argument must be either a number, complex number, or an ndarray-like object
+* @throws {TypeError} fourth argument must be either a boolean or 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

lib/node_modules/@stdlib/blas/ext/linspace/lib/main.js

@@ -63,9 +63,9 @@ var base = require( './base.js' );
 * @param {string} [options.mode="throw"] - specifies how to handle indices which exceed ndarray dimensions
 * @param {StringArray} [options.submode=["throw"]] - specifies how to handle subscripts which exceed ndarray dimensions on a per dimension basis
 * @throws {TypeError} first argument must be either a nonnegative integer or an array of nonnegative integers
-* @throws {TypeError} second argument must be an ndarray-like object
-* @throws {TypeError} third argument must be an ndarray-like object
-* @throws {TypeError} fourth argument must be an ndarray-like object
+* @throws {TypeError} second argument must be either a number, complex number, or an ndarray-like object
+* @throws {TypeError} third argument must be either a number, complex number, or an ndarray-like object
+* @throws {TypeError} fourth argument must be either a boolean or 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