
import argparse
import os

import transformers

from .convert_slow_tokenizer import SLOW_TO_FAST_CONVERTERS
from .utils import logging


logging.set_verbosity_info()

lowercase__          =logging.get_logger(__name__)


lowercase__          ={name: getattr(transformers, name + 'Fast') for name in SLOW_TO_FAST_CONVERTERS}




def        __UpperCamelCase					(    lowerCAmelCase__							:    List[str]  ,       lowerCAmelCase__							:    Dict  ,       lowerCAmelCase__							:    Any  ,       lowerCAmelCase__							:    int  ):
 if tokenizer_name is not None and tokenizer_name not in TOKENIZER_CLASSES:
  raise ValueError(f"Unrecognized tokenizer name, should be one of {list(TOKENIZER_CLASSES.keys()  )}."  )

 if tokenizer_name is None:
  __a			:  Any		    =  TOKENIZER_CLASSES
 else:
  __a			:  Any		    =  {tokenizer_name: getattr(lowerCAmelCase__  ,       tokenizer_name + '''Fast'''  )}

 logger.info(f"Loading tokenizer classes: {tokenizer_names}"  )

 for tokenizer_name in tokenizer_names:
  __a			:  List[Any]		    =  TOKENIZER_CLASSES[tokenizer_name]

  __a			:  Dict		    =  True
  if checkpoint_name is None:
   __a			:  List[Any]		    =  list(tokenizer_class.max_model_input_sizes.keys()  )
  else:
   __a			:  Tuple		    =  [checkpoint_name]

  logger.info(f"For tokenizer {tokenizer_class.__class__.__name__} loading checkpoints: {checkpoint_names}"  )

  for checkpoint in checkpoint_names:
   logger.info(f"Loading {tokenizer_class.__class__.__name__} {checkpoint}"  )

   # Load tokenizer
   __a			:  List[str]		    =  tokenizer_class.from_pretrained(lowerCAmelCase__  ,       force_download=lowerCAmelCase__  )

   # Save fast tokenizer
   logger.info(f"Save fast tokenizer to {dump_path} with prefix {checkpoint} add_prefix {add_prefix}"  )

   # For organization names we create sub-directories
   if "/" in checkpoint:
    __a    ,	__a			:  Any		    =  checkpoint.split('''/'''  )
    __a			:  Optional[Any]		    =  os.path.join(lowerCAmelCase__  ,       lowerCAmelCase__  )
   elif add_prefix:
    __a			:  Tuple		    =  checkpoint
    __a			:  Optional[Any]		    =  dump_path
   else:
    __a			:  Union[str, Any]		    =  None
    __a			:  Tuple		    =  dump_path

   logger.info(f"=> {dump_path_full} with prefix {checkpoint_prefix_name}, add_prefix {add_prefix}"  )

   if checkpoint in list(tokenizer.pretrained_vocab_files_map.values()  )[0]:
    __a			:  List[Any]		    =  list(tokenizer.pretrained_vocab_files_map.values()  )[0][checkpoint]
    __a			:  Union[str, Any]		    =  file_path.split(lowerCAmelCase__  )[-1][0]
    if next_char == "/":
     __a			:  List[Any]		    =  os.path.join(lowerCAmelCase__  ,       lowerCAmelCase__  )
     __a			:  Optional[int]		    =  None

    logger.info(f"=> {dump_path_full} with prefix {checkpoint_prefix_name}, add_prefix {add_prefix}"  )

   __a			:  Union[str, Any]		    =  tokenizer.save_pretrained(
       lowerCAmelCase__  ,       legacy_format=lowerCAmelCase__  ,       filename_prefix=lowerCAmelCase__  )
   logger.info(f"=> File names {file_names}"  )

   for file_name in file_names:
    if not file_name.endswith('''tokenizer.json'''  ):
     os.remove(lowerCAmelCase__  )
     logger.info(f"=> removing {file_name}"  )


if __name__ == "__main__":
      lowercase__          =argparse.ArgumentParser()
      # Required parameters
      parser.add_argument(
          '--dump_path', default=None, type=str, required=True, help='Path to output generated fast tokenizer files.'
      )
      parser.add_argument(
          '--tokenizer_name',
          default=None,
          type=str,
          help=(
              F"""Optional tokenizer type selected in the list of {list(TOKENIZER_CLASSES.keys())}. If not given, will """
              'download and convert all the checkpoints from AWS.'
          ),
      )
      parser.add_argument(
          '--checkpoint_name',
          default=None,
          type=str,
          help='Optional checkpoint name. If not given, will download and convert the canonical checkpoints from AWS.',
      )
      parser.add_argument(
          '--force_download',
          action='store_true',
          help='Re-download checkpoints.',
      )
      lowercase__          =parser.parse_args()

      convert_slow_checkpoint_to_fast(args.tokenizer_name, args.checkpoint_name, args.dump_path, args.force_download)


def        __UpperCamelCase					(    lowerCAmelCase__							:    list  ):

 def merge(lowerCAmelCase__							:    list  ,       lowerCAmelCase__							:    list  ) -> list:

  def _merge():
   while left and right:
    yield (left if left[0] <= right[0] else right).pop(0  )
   yield from left
   yield from right

  return list(_merge()  )

 if len(lowerCAmelCase__  ) <= 1:
  return collection
 __a			:  str		    =  len(lowerCAmelCase__  ) // 2
 return merge(merge_sort(collection[:mid]  )  ,       merge_sort(collection[mid:]  )  )


if __name__ == "__main__":
      import doctest

      doctest.testmod()
      lowercase__          =input('Enter numbers separated by a comma:\n').strip()
      lowercase__          =[int(item) for item in user_input.split(',')]
      print(*merge_sort(unsorted), sep=',')
