class_docstr: Constructs a Nougat processor which wraps a Nougat image processor and a Nougat tokenizer into a single processor.
  
  [`NougatProcessor`] offers all the functionalities of [`NougatImageProcessor`] and [`NougatTokenizerFast`]. See the
  [`~NougatProcessor.__call__`] and [`~NougatProcessor.decode`] for more information.
  
  Args:
      image_processor ([`NougatImageProcessor`]):
          An instance of [`NougatImageProcessor`]. The image processor is a required input.
      tokenizer ([`NougatTokenizerFast`]):
          An instance of [`NougatTokenizerFast`]. The tokenizer is a required input.
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docstr: This method forwards all its arguments to NougatTokenizer's [`~PreTrainedTokenizer.post_process_generation`].
  Please refer to the docstring of this method for more information.
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code: def post_process_generation(self, *args, **kwargs):
      """
      This method forwards all its arguments to NougatTokenizer's [`~PreTrainedTokenizer.post_process_generation`].
      Please refer to the docstring of this method for more information.
      """
      return self.tokenizer.post_process_generation(*args, **kwargs)
  
file_path: transformers/src/transformers/models/nougat/processing_nougat.py
imports: from typing import Dict, List, Optional, Union
  from transformers.tokenization_utils_base import PreTokenizedInput, TextInput, TruncationStrategy
  from ...processing_utils import ProcessorMixin
  from ...utils import PaddingStrategy, TensorType
label_desc: Use image node_id 5 for calling the NougatProcessor obj's underlying member method code with example usage: obj.post_process_generation() and returns: self