code: def test_safe_div_number_denom(self) -> None:
      num = torch.tensor(4.0)
      assert safe_div(num, 2) == 2.0
      assert safe_div(num, 0, 2) == 2.0
      assert safe_div(num, 2.0) == 2.0
      assert safe_div(num, 0.0, 2.0) == 2.0
  
imports: from typing import cast, List, Tuple
  import torch
  from captum._utils.common import _format_feature_mask, _get_max_feature_index, _parse_version, _reduce_list, _select_targets, _sort_key_list, safe_div
  from tests.helpers.basic import assertTensorAlmostEqual, assertTensorTuplesAlmostEqual, BaseTest
label_desc: Use image node_id 1 for calling the Test obj's underlying member method code with example usage: obj.test_safe_div_number_denom() without return types