code: def setUp(self):
      super().setUp()
      self.array_transforms = [
          lambda x: x,  # Identity,
          tf.convert_to_tensor,
          np.array,
          lambda x: np.array(x, dtype=np.int32),
          lambda x: np.array(x, dtype=np.int64),
          lambda x: np.array(x, dtype=np.float32),
          lambda x: np.array(x, dtype=np.float64),
          array_ops.array,
          lambda x: array_ops.array(x, dtype=tf.int32),
          lambda x: array_ops.array(x, dtype=tf.int64),
          lambda x: array_ops.array(x, dtype=tf.float32),
          lambda x: array_ops.array(x, dtype=tf.float64),
      ]
  
file_path: trax/trax/tf_numpy/numpy_impl/tests/logic_test.py
imports: import numpy
  import tensorflow.compat.v2
  from trax.tf_numpy.numpy_impl import array_ops
  from trax.tf_numpy.numpy_impl import arrays
  from trax.tf_numpy.numpy_impl import math_ops
label_desc: Use image node_id 1 for calling the LogicTest obj's underlying member method code with example usage: obj.setUp() without return types