code: def X2(self):
      # Generates an array with categories 3, 4, 5, 6, 7 and occurences of 5%,
      # 5%, 5%, 35% and 50% respectively
      X = np.vstack(
          (
              np.ones((5, 10)) * 3,
              np.ones((5, 10)) * 4,
              np.ones((5, 10)) * 5,
              np.ones((35, 10)) * 6,
              np.ones((50, 10)) * 7,
          )
      )
      for col in range(X.shape[1]):
          np.random.shuffle(X[:, col])
      return X
  
file_path: auto-sklearn/test/test_pipeline/implementations/test_MinorityCoalescer.py
imports: import numpy
  import scipy.sparse
  from autosklearn.pipeline.implementations.MinorityCoalescer import MinorityCoalescer
  import unittest
label_desc: Use image node_id 2 for calling the MinorityCoalescerTest obj's underlying member method code with example usage: obj.X2() and returns: X