code: def test_stop_by_num_features_parallel(
      parallel_logs, base_extractor, metric_name
  ):
      assert stop_by_num_features_parallel(
          parallel_logs,
          base_extractor,
          metric_name,
          min_num_features=10,
      )
      assert not stop_by_num_features_parallel(
          parallel_logs, base_extractor, metric_name, min_num_features=2
      )
  
file_path: fklearn/tests/tuning/test_stoppers.py
imports: import pytest
  from fklearn.metrics.pd_extractors import evaluator_extractor
  from fklearn.tuning.stoppers import stop_by_iter_num, stop_by_no_improvement, stop_by_num_features, stop_by_no_improvement_parallel, stop_by_num_features_parallel
  from tests import LOGS, PARALLEL_LOGS
label_desc: Use image node_id 9 for calling a global function with example usage: test_stop_by_num_features_parallel(parallel_logs, base_extractor, metric_name) without return types