code: def testComplex(self):
      for dtype in [dtypes.complex64, dtypes.complex128]:
          self._testAllFormats(
              [1j, 1j],
              [1, -1, 0],
              [1j, 1j],
              np.array([[1, 1j], [1, 1j], [1, 1j]]),
              [[1 + 1j, -1 + 1j], [-1 + 2j, -2 - 1j], [1j, -1]],
              dtype=dtype,
          )
  
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 7 for calling the TridiagonalMulOpTest obj's underlying member method code with example usage: obj.testComplex() without return types