class_docstr: A text was too long for the underlying model (possibly BERT)
class_docstr_tok: ["A","text","was","too","long","for","the","underlying","model","(","possibly","BERT",")"]
code: def __init__(self, length, max_len, line_num, text):
      super().__init__(
          "Found a text of length %d (possibly after tokenizing).  Maximum handled length is %d  Error occurred at line %d"
          % (length, max_len, line_num)
      )
      self.line_num = line_num
      self.text = text
  
imports: import math
  import logging
  import numpy
  import torch
  import torch.nn
  import torch.nn.functional
  from torch.nn.utils.rnn import pad_packed_sequence, pack_padded_sequence, pack_sequence, PackedSequence
label_desc: Use image node_id 1 to create a new TextTooLongError object from inherited base classes: ValueError with example: obj = TextTooLongError(length, max_len, line_num, text)