code: def get_test_data(self, idx, wrap_tensor=True):
      if not wrap_tensor:
          return self.test_data[idx]
      return tensor_wrap(self.test_data[idx])[0]
  
imports: import math
  import numpy
  import torch
  from torch.distributions.utils import logits_to_probs
  from pyro.distributions.util import broadcast_shape
label_desc: Use image node_id 8 for calling the Fixture obj's underlying member method code with example usage: obj.get_test_data(idx, wrap_tensor) and returns: tensor_wrap, self