





import argparse

import torch

from transformers import RoFormerConfig, RoFormerForMaskedLM, load_tf_weights_in_roformer
from transformers.utils import logging


logging.set_verbosity_info()
def   _A (	SCREAMING_SNAKE_CASE  :     int , SCREAMING_SNAKE_CASE  :     List[str] , SCREAMING_SNAKE_CASE  :     Any		):





  """simple docstring"""



  a__			:      List[str]            =RoFormerConfig.from_json_file(lowerCamelCase__		)
  print(f'''Building PyTorch model from configuration: {config}'''		)
  a__			:      Optional[int]            =RoFormerForMaskedLM(lowerCamelCase__		)

  # Load weights from tf checkpoint
  load_tf_weights_in_roformer(lowerCamelCase__ , lowerCamelCase__ , lowerCamelCase__		)

  # Save pytorch-model
  print(f'''Save PyTorch model to {pytorch_dump_path}'''		)
  torch.save(model.state_dict() , lowerCamelCase__ , _use_new_zipfile_serialization=lowerCamelCase__		)


if __name__ == "__main__":
     UpperCAmelCase			:			int	  = argparse.ArgumentParser()
     # Required parameters
     parser.add_argument(
         """--tf_checkpoint_path""", default=None, type=str, required=True, help="""Path to the TensorFlow checkpoint path."""
     )
     parser.add_argument(
         """--bert_config_file""",
         default=None,
         type=str,
         required=True,
         help=(
             """The config json file corresponding to the pre-trained BERT model. \n"""
             """This specifies the model architecture."""
         ),
     )
     parser.add_argument(
         """--pytorch_dump_path""", default=None, type=str, required=True, help="""Path to the output PyTorch model."""
     )
     UpperCAmelCase			:			Optional[Any]	  = parser.parse_args()
     convert_tf_checkpoint_to_pytorch(args.tf_checkpoint_path, args.bert_config_file, args.pytorch_dump_path)












def   _A (	SCREAMING_SNAKE_CASE  :     int		):





  """simple docstring"""



  barcode //= 10  # exclude the last digit
  a__			:      int            =False
  a__			:      List[str]            =0

  # extract and check each digit
  while barcode != 0:
    a__			:      Optional[Any]            =1 if checker else 3
    s += mult * (barcode % 10)
    barcode //= 10
    a__			:      Union[str, Any]            =not checker

  return (10 - (s % 10)) % 10
def   _A (	SCREAMING_SNAKE_CASE  :     int		):





  """simple docstring"""



  return len(str(SCREAMING_SNAKE_CASE		)		) == 13 and get_check_digit(SCREAMING_SNAKE_CASE		) == barcode % 10
def   _A (	SCREAMING_SNAKE_CASE  :     str		):





  """simple docstring"""



  if str(SCREAMING_SNAKE_CASE		).isalpha():
    a__			:      Tuple            =f'''Barcode \'{barcode}\' has alphabetic characters.'''
    raise ValueError(SCREAMING_SNAKE_CASE		)
  elif int(SCREAMING_SNAKE_CASE		) < 0:
    raise ValueError("The entered barcode has a negative value. Try again."		)
  else:
    return int(SCREAMING_SNAKE_CASE		)


if __name__ == "__main__":
     import doctest

     doctest.testmod()
     UpperCAmelCase			:			List[str]	  = get_barcode(input("""Barcode: """).strip())

     if is_valid(barcode):
          print(F"""'{barcode}' is a valid barcode.""")
     else:
          print(F"""'{barcode}' is NOT a valid barcode.""")






