code: def test_so3_j1(self):
      j = 1
      result = equivariance_utils.so3_generators(j)
      expected = torch.tensor(
          [
              [
                  [0.0000, 0.0000, 0.0000],
                  [0.0000, 0.0000, -1.0000],
                  [0.0000, 1.0000, 0.0000],
              ],
              [
                  [0.0000, 0.0000, 1.0000],
                  [0.0000, 0.0000, 0.0000],
                  [-1.0000, 0.0000, 0.0000],
              ],
              [
                  [0.0000, -1.0000, 0.0000],
                  [1.0000, 0.0000, 0.0000],
                  [0.0000, 0.0000, 0.0000],
              ],
          ],
          dtype=torch.float64,
      ).float()
      self.assertTrue(torch.allclose(result, expected, atol=1e-5))
  
file_path: deepchem/deepchem/utils/test/test_equivariance_utils.py
imports: import unittest
label_desc: Use image node_id 12 for calling the TestEquivarianceUtils obj's underlying member method code with example usage: obj.test_so3_j1() without return types