docstr: A simple interface to pass the examples to prompt, and wrap the text with template.
          
docstr_tok: ["A","simple","interface","to","pass","the","examples","to","prompt",",","and","wrap","the","text","with","template","."]
code: def wrap(self):
      r"""A simple interface to pass the examples to prompt, and wrap the text with template."""
      if isinstance(self.raw_dataset, List):
          assert (
              len(self.raw_dataset) > 0
          ), "The dataset to be wrapped is empty."
          # for idx, example in tqdm(enumerate(self.raw_dataset),desc='Wrapping'):
          for idx, example in enumerate(self.raw_dataset):
              if self.verbalizer is not None and hasattr(
                  self.verbalizer, "wrap_one_example"
              ):  # some verbalizer may also process the example.
                  example = self.verbalizer.wrap_one_example(example)
              wrapped_example = self.template.wrap_one_example(example)
              self.wrapped_dataset.append(wrapped_example)
      else:
          raise NotImplementedError
  
file_path: OpenPrompt/tutorial/7_ernie_paddlepaddle/dataloader.py
imports: from typing import *
  from tqdm import tqdm
  from collections import defaultdict
  import warnings
  import numpy
  from paddlenlp.data import Stack, Tuple, Pad
  import paddle
  from utils import signature
  from data_utils import InputFeatures
label_desc: Use image node_id 2 for calling the ErniePromptDataLoader obj's underlying member method code with example usage: obj.wrap() without return types