text: import time
  import matplotlib.pyplot as plt
  import argparse
  from subprocess import Popen
  
  def parallel_works(nb_processes, api_path):
      # command = ["xargs", "-I", "%", "-P", "10000", "curl http://localhost:5000", "< <(printf '%s\n' {1..3})"]
      command = "xargs -I % -P 1000 curl 'http://localhost:5000"+api_path+"' < <(printf '%s\n' {1.."+str(nb_processes)+"})"
      begin_time = time.time()
      worker_process = Popen(["bash", "-c", command])
      worker_process.wait()
      # subprocess.run(["bash", "-c", command], shell=True, check=True)
      return time.time() - begin_time
  
  
  def main(min_processes, max_processes, step_processes, api_path):
      x, y = [], []
      for nb_processes in range(min_processes, max_processes, step_processes):
          print("Test with %d processes." % nb_processes)
          total_time = parallel_works(nb_processes, api_path)
          x.append(nb_processes)
          y.append(round(total_time, 2))
          print("total_time ==> %f" % y[-1])
  
      print(x)
      print(y)
  
      plt.xlabel("Number of process")
      plt.ylabel("Time (s)")
      plt.plot(x, y)
      plt.show()
  
  
  if __name__ == "__main__":
      parser = argparse.ArgumentParser(description="Process executable options.")
      parser.add_argument(
          "--min_processes",
          type=int,
          help="Max number of process to simultaneously start.",
      )
      parser.add_argument(
          "--max_processes",
          type=int,
          help="Max number of process to simultaneously start.",
      )
      parser.add_argument(
          "--step_processes", type=int, help="Step number of processes to increment."
      )
      parser.add_argument(
          "api_path", type=str, help="Path to call in the running api: e.g. / or /loaded_inference/"
      )
      args = parser.parse_args()
  
      main(args.min_processes, args.max_processes, args.step_processes, args.api_path)