bench: fix syntax

---
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: 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
---

---
type: pre_push_report
description: Results of running various checks prior to pushing changes.
report:
  - task: run_javascript_examples
    status: passed
  - task: run_c_examples
    status: passed
  - task: run_cpp_examples
    status: na
  - task: run_javascript_readme_examples
    status: passed
  - task: run_c_benchmarks
    status: passed
  - task: run_cpp_benchmarks
    status: na
  - task: run_fortran_benchmarks
    status: na
  - task: run_javascript_benchmarks
    status: passed
  - task: run_julia_benchmarks
    status: passed
  - task: run_python_benchmarks
    status: na
  - task: run_r_benchmarks
    status: na
  - task: run_javascript_tests
    status: passed
---

Author: kgryte

lib/node_modules/@stdlib/complex/float64/base/scale/benchmark/julia/benchmark.jl

@@ -107,7 +107,7 @@ julia> out = benchmark();
 ```
 """
 function benchmark()
-	t = BenchmarkTools.@benchmark ComplexF64( (rand()*1000.0)-500.0, (rand()*1000.0)-500.0 ) * 5.0 ) samples=1e6
+	t = BenchmarkTools.@benchmark ComplexF64( (rand()*1000.0)-500.0, (rand()*1000.0)-500.0 ) * 5.0 samples=1e6
 
 	# Compute the total "elapsed" time and convert from nanoseconds to seconds:
 	s = sum( t.times ) / 1.0e9;