code: def test_encode_target():
      """Assert that the target column is automatically encoded."""
      data = pycaret.datasets.get_data("telescope")
      pc = pycaret.classification.setup(data)
      _, y = pc.pipeline.transform(pc.X, pc.y)
      assert y.dtype.kind in "ifu"
  
imports: import io
  import numpy
  import pandas
  import pytest
  from imblearn.over_sampling import ADASYN
  from scipy.sparse import csr_matrix
  from sklearn.decomposition import PCA
  from sklearn.ensemble import RandomForestClassifier
  from sklearn.pipeline import Pipeline
  from sklearn.preprocessing import StandardScaler
  import pycaret.classification
  import pycaret.datasets
  import pycaret.regression
label_desc: Use image node_id 16 for calling a global function with example usage: test_encode_target() without return types