code: def test_multiclass_example():
      file_path_train = fedot_project_root().joinpath(
          "test/data/multiclass_classification.csv"
      )
  
      pipeline = get_model(
          file_path_train, cur_lead_time=timedelta(seconds=5)
      )
      assert pipeline is not None
  
imports: from datetime import timedelta
  import numpy
  from sklearn.metrics import mean_squared_error
  from examples.advanced.multimodal_text_num_example import run_multi_modal_example
  from examples.advanced.multiobj_optimisation import run_classification_multiobj_example
  from examples.advanced.time_series_forecasting.exogenous import run_exogenous_experiment
  from examples.advanced.time_series_forecasting.multistep import run_multistep
  from examples.advanced.time_series_forecasting.nemo_multiple import run_multiple_example
  from examples.simple.classification.api_classification import run_classification_example
  from examples.simple.classification.classification_pipelines import classification_complex_pipeline
  from examples.simple.classification.multiclass_prediction import get_model
  from examples.simple.interpretable.api_explain import run_api_explain_example
  from examples.simple.pipeline_tune import get_case_train_test_data, pipeline_tuning
  from examples.simple.time_series_forecasting.api_forecasting import run_ts_forecasting_example
  from examples.simple.time_series_forecasting.gapfilling import run_gapfilling_example
  from examples.simple.time_series_forecasting.ts_pipelines import ts_complex_dtreg_pipeline
  from fedot.core.utils import fedot_project_root
label_desc: Use image node_id 1 for calling a global function with example usage: test_multiclass_example() without return types