class_docstr: The generated template from TemplateGenerator is a list of dict of parsed template_text. So no further parsing is needed.
class_docstr_tok: ["The","generated","template","from","TemplateGenerator","is","a","list","of","dict","of","parsed","template_text",".","So","no","further","parsing","is","needed","."]
code: def on_text_set(self):
      pass
  
imports: from openprompt.data_utils.text_classification_dataset import SST2Processor
  from openprompt.plms import load_plm
  from openprompt.prompts import ManualVerbalizer, ManualTemplate
  from openprompt.prompts.prompt_generator import LMBFFTemplateGenerationTemplate
  from openprompt.plms import load_plm
  from openprompt.prompts.prompt_generator import T5TemplateGenerator
  from openprompt.pipeline_base import PromptDataLoader, PromptForClassification
  from openprompt.prompts import ManualTemplate
  from openprompt.trainer import ClassificationRunner
  import copy
  import torch
  from transformers import AdamW, get_linear_schedule_with_warmup
  import numpy
  from tqdm import tqdm
  from openprompt.prompts.prompt_generator import RobertaVerbalizerGenerator
label_desc: Use image node_id 1 for calling the ManualTemplateWithoutParse obj's underlying member method code with example usage: obj.on_text_set() without return types