docstr: ...Test behavior of as_array2d method
docstr_tok: ["...","Test","behavior","of","as_array2d","method"]
code: def test_as_array2d(self):
      """...Test behavior of as_array2d method"""
      test_arrays = self._test_arrays("BaseArrayDouble2d")
      original_arrays = self._test_arrays("BaseArrayDouble2d")
      for test_array, original_array in zip(
          test_arrays, original_arrays
      ):
          self.assertEqual(
              test_array.sum(), test.test_as_array2d(test_array)
          )
          # If it sparse data has been copied and original array not affected
          if hasattr(test_array, "toarray"):
              self.compare_arrays(test_array, original_array)
          # If it is dense data has been kept and modified
          else:
              self.compare_arrays(
                  test_array, np.zeros_like(original_array)
              )
  
imports: import unittest
  import numpy
  from numpy.linalg import norm
  from tick.array_test.build import array_test
  from scipy.sparse import csr_matrix
  import itertools
label_desc: Use image node_id 18 for calling the Test obj's underlying member method code with example usage: obj.test_as_array2d() without return types