code: def test_where_type_promotion(self):
      mesh = DeviceMesh(
          self.device_type, list(range(self.world_size))
      )  # 1D mesh
  
      specs = [[Shard(0)], [Replicate()]]
      for spec in specs:
          global_tensor = torch.randn(12, 8)
          mat = distribute_tensor(global_tensor, mesh, spec)
          res = torch.where(mat > 0, 1, 0)
          ref = torch.where(global_tensor > 0, 1, 0)
          self.assertEqual(res.full_tensor(), ref)
  
imports: import torch
  from torch.distributed._tensor import DeviceMesh, distribute_tensor, DTensor
  from torch.distributed._tensor.placement_types import _Partial, Replicate, Shard
  from torch.testing._internal.common_utils import run_tests
  from torch.testing._internal.distributed._tensor.common_dtensor import DTensorConverter, DTensorTestBase, with_comms
label_desc: Use image node_id 19 for calling the DistTensorOpsTest obj's underlying member method code with example usage: obj.test_where_type_promotion() without return types