code: def testPositiveDeltaFloat64(self):
      x_shape = [2, 2, 3]
      x_data = [0, 5, 13, 54, 135, 226, 37, 8, 234, 90, 255, 1]
      x_np = np.array(x_data, dtype=np.float64).reshape(x_shape) / 255.0
  
      y_data = [10, 15, 23, 64, 145, 236, 47, 18, 244, 100, 265, 11]
      y_np = np.array(y_data, dtype=np.float64).reshape(x_shape) / 255.0
  
      self._testBrightness(x_np, y_np, delta=10.0 / 255.0, tol=1e-3)
  
imports: import numpy
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import errors
  from tensorflow.python.framework import ops
  from tensorflow.python.framework.weak_tensor import WeakTensor
  from tensorflow.python.ops import image_ops
  from tensorflow.python.ops import weak_tensor_ops
  from tensorflow.python.ops import weak_tensor_test_util
  from tensorflow.python.platform import test
label_desc: Use image node_id 3 for calling the AdjustBrightnessTest obj's underlying member method code with example usage: obj.testPositiveDeltaFloat64() without return types