code: def test_loss_threshold():
      loss_threshold = 0.001
      hypopt_trials = Trials()
      fmin(
          fn=lambda x: x**2,
          space=hp.uniform("x", -10, 10),
          loss_threshold=loss_threshold,
          algo=rand.suggest,
          trials=hypopt_trials,
          rstate=np.random.default_rng(0),
      )
      best_loss = hypopt_trials.best_trial["result"]["loss"]
      assert best_loss <= loss_threshold
      assert len(hypopt_trials) > 0
  
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 11 for calling a global function with example usage: test_loss_threshold() without return types