code: def _testRandom(
      self, dtype, expected_err_re=None, fn=array_ops.where
  ):
      shape = [127, 33, 53]
      x = np.random.randn(*shape) + 1j * np.random.randn(*shape)
      x = (np.random.randn(*shape) > 0).astype(dtype)
      truth = np.where(np.abs(x) > 0)  # Tuples of indices by axis.
      truth = np.vstack(truth).T  # Convert to [num_true, indices].
      self._testWhere(x, truth, expected_err_re, fn)
  
imports: import itertools
  import sys
  import numpy
  from tensorflow.python.client import session
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import ops
  from tensorflow.python.framework import test_util
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import random_ops
  from tensorflow.python.ops import resource_variable_ops
  from tensorflow.python.platform import benchmark
  from tensorflow.python.platform import test
label_desc: Use image node_id 7 for calling the WhereOpTest obj's underlying member method code with example usage: obj._testRandom(dtype, expected_err_re, fn) without return types