code: def test_complex_parse(self):
      def fn(a: int, b: torch.Tensor, dim: int):
          # verifies `emitValueToTensor()` 's behavior
          b[dim] = 2.4 + 0.5j
          return (3 * 2j) + a + 5j - 7.4j - 4
  
      t1 = torch.tensor(1)
      t2 = torch.tensor([0.4, 1.4j, 2.35])
  
      self.checkScript(fn, (t1, t2, 2))
  
imports: import torch
  import os
  import sys
  from torch.testing._internal.jit_utils import JitTestCase, execWrapper
  from torch.testing._internal.common_utils import IS_MACOS
  from typing import List, Dict
  from itertools import product
  from textwrap import dedent
  import cmath
label_desc: Use image node_id 5 for calling the TestComplex obj's underlying member method code with example usage: obj.test_complex_parse() and returns: unknown