code: def testNonsymmetric(self):
      # 2x2 matrices
      matrix1 = np.array([[1.0, 2.0], [3.0, 4.0]])
      matrix2 = np.array([[1.0, 3.0], [3.0, 5.0]])
      matrix1 = matrix1.astype(np.complex64)
      matrix1 += 1j * matrix1
      matrix2 = matrix2.astype(np.complex64)
      matrix2 += 1j * matrix2
      self._verifyLogarithmComplex(matrix1)
      self._verifyLogarithmComplex(matrix2)
      # Complex batch
      self._verifyLogarithmComplex(self._makeBatch(matrix1, matrix2))
  
imports: 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 errors_impl
  from tensorflow.python.framework import ops
  from tensorflow.python.framework import test_util
  from tensorflow.python.ops import control_flow_ops
  from tensorflow.python.ops import gen_linalg_ops
  from tensorflow.python.ops import math_ops
  from tensorflow.python.ops import stateless_random_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 4 for calling the LogarithmOpTest obj's underlying member method code with example usage: obj.testNonsymmetric() without return types