code: def random_complex128_ranged(min, max, shape, rng=None):
      if rng is None:
          rng = np.random.default_rng(seed=utt.fetch_seed())
      return np.asarray(
          rng.random(shape) * (max - min) + min, dtype="complex128"
      )
  
imports: import os
  from copy import copy
  from itertools import combinations
  from tempfile import mkstemp
  import numpy
  import pytest
  import pytensor
  from pytensor import function, shared
  from pytensor.compile.mode import get_default_mode
  from pytensor.configdefaults import config
  from pytensor.graph.utils import MethodNotDefined
  from pytensor.misc.safe_asarray import _asarray
  from pytensor.tensor.type import TensorType, complex_dtypes, discrete_dtypes, float_dtypes
  from tests import unittest_tools
label_desc: Use image node_id 19 for calling a global function with example usage: random_complex128_ranged(min, max, shape, rng) and returns: np