code: def test_input_is_array():
      """Assert that the input can be a numpy array."""
      pc = pycaret.classification.setup(np.eye(4), target=[1, 0, 0, 1])
      assert isinstance(pc.dataset, pd.DataFrame)
      assert pc.target_param == "target"
  
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 5 for calling a global function with example usage: test_input_is_array() without return types