code: def main():
      parser = argparse.ArgumentParser(
          prog="python -m cudf.pandas",
          description=(
              "Run a Python script with Pandas Accelerator Mode enabled. "
              "In Pandas Accelerator Mode, all imports of pandas will "
              "automatically use GPU accelerated cuDF equivalents where "
              "possible."
          ),
      )
  
      parser.add_argument(
          "-m",
          dest="module",
          nargs=1,
      )
      parser.add_argument(
          "--profile",
          action="store_true",
          help="Perform per-function profiling of this script.",
      )
      parser.add_argument(
          "--line-profile",
          action="store_true",
          help="Perform per-line profiling of this script.",
      )
      parser.add_argument(
          "args",
          nargs=argparse.REMAINDER,
          help="Arguments to pass on to the script",
      )
  
      args = parser.parse_args()
  
      install()
      with profile(args.profile, args.line_profile, args.args[0]) as fn:
          args.args[0] = fn
          if args.module:
              (module,) = args.module
              # run the module passing the remaining arguments
              # as if it were run with python -m <module> <args>
              sys.argv[:] = [module] + args.args  # not thread safe?
              runpy.run_module(module, run_name="__main__")
          elif len(args.args) >= 1:
              # Remove ourself from argv and continue
              sys.argv[:] = args.args
              runpy.run_path(args.args[0], run_name="__main__")
  
file_path: cudf/python/cudf/cudf/pandas/__main__.py
imports: import argparse
  import runpy
  import sys
  import tempfile
  from contextlib import contextmanager
  from .None import install
  from .profiler import Profiler, lines_with_profiling
label_desc: Use image node_id 2 for calling a global function with example usage: main() without return types