return
	}
	visited[dtype] = true
	switch dt := dtype.(type) {
	case *dwarf.TypedefType:
		if strings.HasPrefix(dt.Name, "__builtin") {
			// Don't look inside builtin types. There be dragons.
			return
		}
		if !p.typedefs[dt.Name] {
			p.typedefs[dt.Name] = true
			p.typedefList = append(p.typedefList, typedefInfo{dt.Name, pos})
			p.recordTypedefs1(dt.Type, pos, visited)
		}
	case *dwarf.PtrType:

  EXPECT_EQ(TF_DOUBLE, static_cast<TF_DataType>(tensorflow::DT_DOUBLE));
  EXPECT_EQ(TF_INT32, static_cast<TF_DataType>(tensorflow::DT_INT32));
  EXPECT_EQ(TF_UINT8, static_cast<TF_DataType>(tensorflow::DT_UINT8));
  EXPECT_EQ(TF_INT16, static_cast<TF_DataType>(tensorflow::DT_INT16));
  EXPECT_EQ(TF_INT8, static_cast<TF_DataType>(tensorflow::DT_INT8));

  // Use, run, and verify
  TF_Operation* func_feed = Placeholder(host_graph_, s_);
  TF_Operation* func_op = Use({func_feed});
  Run({{func_feed, Int32Tensor(3)}}, func_op, -3);
  VerifyFDef({"neg_0"}, {{"feed", DT_INT32}}, {{"neg", DT_INT32}},
             {{"feed", "neg_0:0"}, {"neg_0:y:0", "neg"}}, {});
}

TEST_F(CApiFunctionTest, OneOutput_OutputNames) {
  /*
   *                   |
   *                   v

  EXPECT_NE(attr_found, attr_values.cend());
  EXPECT_EQ(attr_found->second.list().type(0), tensorflow::DataType::DT_BOOL);
  EXPECT_EQ(attr_found->second.list().type(1), tensorflow::DataType::DT_FLOAT);
  EXPECT_EQ(attr_found->second.list().type(2), tensorflow::DataType::DT_INT32);

  TFE_TensorHandle* retvals[1] = {nullptr};
  int num_retvals = 1;
  TFE_Execute(assertOp, &retvals[0], &num_retvals, status);

					Prefix: Prefix{
						string: "folder1/folder1/exp_dt=2022-",
						set:    true,
					},
				},
				Expiration: Expiration{
					Days: 1,
					set:  true,
				},
			},
		},
	}
	tests := []struct {
		opts ObjectOpts
		lc   Lifecycle
		want int
	}{
		{
			opts: ObjectOpts{
				Name:        "folder1/folder1/exp_dt=2022-08-01/obj-1",