code: def test_data_type_consistency(self):
      X = np.random.randint(3, 6, (3, 4))
      Y = MinorityCoalescer().fit_transform(X)
      self.assertFalse(scipy.sparse.issparse(Y))
  
      X = scipy.sparse.csc_matrix(
          ([3, 6, 4, 5], ([0, 1, 2, 1], [3, 2, 1, 0])), shape=(3, 4)
      )
      Y = MinorityCoalescer().fit_transform(X)
      self.assertTrue(scipy.sparse.issparse(Y))
  
file_path: auto-sklearn/test/test_pipeline/components/data_preprocessing/test_minority_coalescence.py
imports: import numpy
  import scipy.sparse
  from autosklearn.pipeline.components.data_preprocessing.minority_coalescense.minority_coalescer import MinorityCoalescer
  from autosklearn.pipeline.components.data_preprocessing.minority_coalescense.no_coalescense import NoCoalescence
  import unittest
label_desc: Use image node_id 1 for calling the MinorityCoalescerTest obj's underlying member method code with example usage: obj.test_data_type_consistency() without return types