code: def _randomComplexArray(self, shape):
      np.random.seed(43)
      return (
          np.random.uniform(-10, 10, shape)
          + np.random.uniform(-10, 10, shape) * 1j
      )
  
imports: import itertools
  import numpy
  from tensorflow.python.client import session
  from tensorflow.python.eager import context
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import errors_impl
  from tensorflow.python.framework import ops
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import array_ops_stack
  from tensorflow.python.ops import control_flow_ops
  from tensorflow.python.ops import gradient_checker_v2
  from tensorflow.python.ops import linalg_ops
  from tensorflow.python.ops import math_ops
  from tensorflow.python.ops import variables
  from tensorflow.python.ops.linalg import linalg_impl
  from tensorflow.python.platform import benchmark
  from tensorflow.python.platform import test
label_desc: Use image node_id 3 for calling the TridiagonalMulOpTest obj's underlying member method code with example usage: obj._randomComplexArray(shape) and returns: unknown