code: def test_select_target_by_sequence():
      """Assert that the target can be a sequence."""
      data = pycaret.datasets.get_data("juice")
      pc = pycaret.classification.setup(data, target=[1] * len(data))
      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 4 for calling a global function with example usage: test_select_target_by_sequence() without return types