code: def setUp(self):
      super(MathTest, self).setUp()
      self.array_transforms = [
          lambda x: x,  # Identity,
          ops.convert_to_tensor,
          np.array,
          lambda x: np.array(x, dtype=np.float32),
          lambda x: np.array(x, dtype=np.float64),
          np_array_ops.array,
          lambda x: np_array_ops.array(x, dtype=np.float32),
          lambda x: np_array_ops.array(x, dtype=np.float64),
      ]
      self.types = [np.int32, np.int64, np.float32, np.float64]
  
imports: import itertools
  from absl.testing import parameterized
  import numpy
  from tensorflow.python.framework import errors
  from tensorflow.python.framework import ops
  from tensorflow.python.framework import tensor
  from tensorflow.python.ops.numpy_ops import np_array_ops
  from tensorflow.python.ops.numpy_ops import np_arrays
  from tensorflow.python.ops.numpy_ops import np_math_ops
  from tensorflow.python.platform import test
label_desc: Use image node_id 1 for calling the MathTest obj's underlying member method code with example usage: obj.setUp() without return types