code: def test_fmin_return_argmin():
      def fn(x):
          return x
  
      space = hp.choice("x", [100, 5, 10])
      # With return_argmin=False it should return the
      # best parameter values
      best_parameter = fmin(
          fn=fn,
          space=space,
          max_evals=10,
          algo=rand.suggest,
          return_argmin=False,
          rstate=np.random.default_rng(0),
      )
      assert best_parameter == 5
  
      # With return_argmin=True it should return the
      # optimal point in the sample space
      best_args = fmin(
          fn=fn,
          space=space,
          max_evals=10,
          algo=rand.suggest,
          return_argmin=True,
          rstate=np.random.default_rng(0),
      )
      assert best_args["x"] == 1
  
imports: import unittest
  import numpy
  from timeit import default_timer
  import time
  from hyperopt.early_stop import no_progress_loss
  from hyperopt.fmin import generate_trials_to_calculate
  import pytest
  from hyperopt import fmin, rand, tpe, hp, Trials, exceptions, space_eval, STATUS_FAIL, STATUS_OK
  from hyperopt.base import JOB_STATE_ERROR
label_desc: Use image node_id 7 for calling a global function with example usage: test_fmin_return_argmin() and returns: x