code: def forward(self):
      x = torch.tensor(1)
      y = torch.tensor(0.5)
      b = float(1)
      s = "abcde"
      l = ["1", "2", "test", "a{}b"]
      d = {"key": 1}
      d2 = {0: 100}
      return len(
          # type
          bool(x),
          bool(x.item()),
          int(y),
          int(y.item()),
          float(x),
          float(x.item()),
          # math
          x & x,
          bool(x) & bool(x),
          int(x) & int(x),
          x | x,
          bool(x) | bool(x),
          int(x) | int(x),
          x << x,
          int(x) << int(x),
          x >> x,
          int(x) >> int(x),
          x ^ x,
          bool(x) ^ bool(x),
          int(x) ^ int(x),
          b * float(x),
          b * int(x),
          b + float(x),
          b - float(x),
          x.item() + y.item(),
          x.item() - y.item(),
          x.item() * y.item(),
          x.item() / y.item(),
          float(x) < float(y),
          float(x) <= float(y),
          float(x) > float(y),
          float(x) > int(y),
          float(x) >= float(y),
          float(x) >= int(y),
          float(x) == float(y),
          float(x) == int(y),
          float(x) != float(y),
          int(x) != float(y),
          float(x) / float(y),
          int(x) / int(y),
          max(x),
          max(x.item(), y.item()),
          max(int(x), int(y)),
          max(float(x), float(y)),
          min(x),
          min(x.item(), y.item()),
          min(int(x), int(y)),
          min(float(x), float(y)),
          int(l[0]),
          float(l[0]),
          # string
          str(torch.tensor(1)),
          l[2].find("t"),
          l[2].replace("t", "x"),
          l[2].lower(),
          l[2].startswith("t"),
          l[2].split("t"),
          l[2].strip(),
          l[2].rstrip(),
          l[2].lstrip(),
          l[2][slice(2)],
          l[3].format("x"),
          ord(l[2][0]),
          len(torch.randn(3)),
          len(l),
          len(l[2]),
          len(d),
          len(d2),
      )
  
imports: import torch
label_desc: Use image node_id 1 for calling the TSBuiltinOpsModule obj's underlying member method code with example usage: obj.forward() and returns: len