code: def test_correct_api_dataset_with_pseudo_text_preprocessing():
      """Check if dataset with pseudo text features was preprocessed correctly (as numerical) when API launch using."""
  
      input_data = data_with_pseudo_text_features()
      fedot_model = Fedot(problem="classification")
      fedot_model.fit(input_data, predefined_model="auto")
      fedot_model.predict(input_data)
  
      # Check there are no text nodes in the pipeline
      node_tags = [
          node.tags for node in fedot_model.current_pipeline.nodes
      ]
      assert not any(
          "text" in current_tags for current_tags in node_tags
      )
      assert (
          fedot_model.prediction.features.shape[0]
          == input_data.features.shape[0]
      )
  
imports: import numpy
  from fedot import Fedot
  from fedot.core.data.data import InputData
  from fedot.core.data.data_split import train_test_data_setup
  from fedot.core.data.supplementary_data import SupplementaryData
  from fedot.core.repository.dataset_types import DataTypesEnum
  from fedot.core.repository.tasks import Task, TaskTypesEnum
  from fedot.preprocessing.data_types import TYPE_TO_ID
label_desc: Use image node_id 13 for calling a global function with example usage: test_correct_api_dataset_with_pseudo_text_preprocessing() without return types