code: def test_coalesce_10_percent_sparse(self):
      X = scipy.sparse.csc_matrix(self.X1)
      Y = MinorityCoalescer(minimum_fraction=0.1).fit_transform(X)
      # Assert no copies were made
      self.assertEqual(id(X), id(Y))
      Y = Y.todense()
      for col in range(Y.shape[1]):
          hist = np.histogram(Y[:, col], bins=np.arange(1, 7))
          np.testing.assert_array_almost_equal(
              hist[0], [10, 0, 30, 30, 30]
          )
  
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 5 for calling the MinorityCoalescerTest obj's underlying member method code with example usage: obj.test_coalesce_10_percent_sparse() without return types