





"""simple docstring"""





import argparse

from transformers import CanineConfig, CanineModel, CanineTokenizer, load_tf_weights_in_canine
from transformers.utils import logging


logging.set_verbosity_info()






def 	__UpperCAmelCase					(       snake_case_  :  List[str]   ,	snake_case_  :  Tuple   )							->	Union[str, Any]:






   """simple docstring"""


   _lowerCAmelCase					     =		CanineConfig()
   _lowerCAmelCase					     =		CanineModel(a_   )
   model.eval()

   print(F"""Building PyTorch model from configuration: {config}"""   )

   # Load weights from tf checkpoint
   load_tf_weights_in_canine(a_   ,	a_   ,	a_   )

   # Save pytorch-model (weights and configuration)
   print(F"""Save PyTorch model to {pytorch_dump_path}"""   )
   model.save_pretrained(a_   )

   # Save tokenizer files
   _lowerCAmelCase					     =		CanineTokenizer()
   print(F"""Save tokenizer files to {pytorch_dump_path}"""   )
   tokenizer.save_pretrained(a_   )


if __name__ == "__main__":
  SCREAMING_SNAKE_CASE				:     Union[str, Any]          =	argparse.ArgumentParser()
  # Required parameters
  parser.add_argument(
      '''--tf_checkpoint_path''',
      default=None,
      type=str,
      required=True,
      help='''Path to the TensorFlow checkpoint. Should end with model.ckpt''',
  )
  parser.add_argument(
      '''--pytorch_dump_path''',
      default=None,
      type=str,
      required=True,
      help='''Path to a folder where the PyTorch model will be placed.''',
  )
  SCREAMING_SNAKE_CASE				:     List[str]          =	parser.parse_args()
  convert_tf_checkpoint_to_pytorch(args.tf_checkpoint_path, args.pytorch_dump_path)




"""simple docstring"""





from itertools import combinations_with_replacement






def 	__UpperCAmelCase					(       snake_case_  :  int = 100   )							->	int:






   """simple docstring"""


   _lowerCAmelCase					     =		[*list(range(1   ,	21   )   ), 25]
   _lowerCAmelCase					     =		[2 * x for x in range(1   ,	21   )] + [50]
   _lowerCAmelCase					     =		[3 * x for x in range(1   ,	21   )]
   _lowerCAmelCase					     =		singles + doubles + triples + [0]

   _lowerCAmelCase					     =		0
   _lowerCAmelCase					     =		42
   _lowerCAmelCase					     =		42
   _lowerCAmelCase					     =		42
   _lowerCAmelCase					     =		42

   for double in doubles:
      for throwa, throwa in combinations_with_replacement(snake_case_   ,	2   ):
         _lowerCAmelCase					     =		double + throwa + throwa
         if checkout_total < limit:
            num_checkouts += 1

   return num_checkouts


if __name__ == "__main__":
  print(F'{solution() = }')