




import argparse
import os

import transformers

from .convert_slow_tokenizer import SLOW_TO_FAST_CONVERTERS
from .utils import logging


logging.set_verbosity_info()

lowerCamelCase				:		Union[str, Any]     =   logging.get_logger(__name__)


lowerCamelCase				:		List[Any]     =   {name: getattr(transformers, name + "Fast") for name in SLOW_TO_FAST_CONVERTERS}

def 			_SCREAMING_SNAKE_CASE			(							lowercase	:       List[str]	,							lowercase	:       Optional[int]	,							lowercase	:       List[str]	,							lowercase	:       Union[str, Any]     ):


      '''simple docstring'''



      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:
            lowerCamelCase_		     =    TOKENIZER_CLASSES
      else:
            lowerCamelCase_		     =    {tokenizer_name: getattr(lowercase	,							tokenizer_name + 'Fast'     )}

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

      for tokenizer_name in tokenizer_names:
            lowerCamelCase_		     =    TOKENIZER_CLASSES[tokenizer_name]

            lowerCamelCase_		     =    True
            if checkpoint_name is None:
                  lowerCamelCase_		     =    list(tokenizer_class.max_model_input_sizes.keys()     )
            else:
                  lowerCamelCase_		     =    [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
                  lowerCamelCase_		     =    tokenizer_class.from_pretrained(lowercase	,							force_download=lowercase     )

                  # 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:
                        lowerCamelCase_     ,				lowerCamelCase_		     =    checkpoint.split('/'     )
                        lowerCamelCase_		     =    os.path.join(lowercase	,							lowercase     )
                  elif add_prefix:
                        lowerCamelCase_		     =    checkpoint
                        lowerCamelCase_		     =    dump_path
                  else:
                        lowerCamelCase_		     =    None
                        lowerCamelCase_		     =    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]:
                        lowerCamelCase_		     =    list(tokenizer.pretrained_vocab_files_map.values()     )[0][checkpoint]
                        lowerCamelCase_		     =    file_path.split(lowercase     )[-1][0]
                        if next_char == "/":
                              lowerCamelCase_		     =    os.path.join(lowercase	,							lowercase     )
                              lowerCamelCase_		     =    None

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

                  lowerCamelCase_		     =    tokenizer.save_pretrained(
                      lowercase	,							legacy_format=lowercase	,							filename_prefix=lowercase     )
                  logger.info(f"""=> File names {file_names}"""     )

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


if __name__ == "__main__":
 lowerCamelCase				:		str     =   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.",
 )
 lowerCamelCase				:		Optional[Any]     =   parser.parse_args()

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









def 			_SCREAMING_SNAKE_CASE			(							lowercase	:       list     ):


      '''simple docstring'''



      for i in range(len(lowercase     ) - 1	,							0	,							-1     ):
            lowerCamelCase_		     =    False

            for j in range(lowercase	,							0	,							-1     ):
                  if unsorted[j] < unsorted[j - 1]:
                        lowerCamelCase_     ,				lowerCamelCase_		     =    unsorted[j - 1], unsorted[j]
                        lowerCamelCase_		     =    True

            for j in range(lowercase     ):
                  if unsorted[j] > unsorted[j + 1]:
                        lowerCamelCase_     ,				lowerCamelCase_		     =    unsorted[j + 1], unsorted[j]
                        lowerCamelCase_		     =    True

            if not swapped:
                  break
      return unsorted


if __name__ == "__main__":
 import doctest

 doctest.testmod()
 lowerCamelCase				:		Any     =   input("Enter numbers separated by a comma:\n").strip()
 lowerCamelCase				:		Dict     =   [int(item) for item in user_input.split(",")]
 print(F"""{cocktail_shaker_sort(unsorted) = }""")



