code: def test_so3_j0(self):
      j = 0
      result = equivariance_utils.so3_generators(j)
      expected = torch.tensor(
          [[[0.0]], [[0.0]], [[0.0]]], dtype=torch.float64
      ).float()
      self.assertTrue(torch.allclose(result, expected))
  
file_path: deepchem/deepchem/utils/test/test_equivariance_utils.py
imports: import unittest
label_desc: Use image node_id 11 for calling the TestEquivarianceUtils obj's underlying member method code with example usage: obj.test_so3_j0() without return types