


import argparse
import os

import transformers

from .convert_slow_tokenizer import SLOW_TO_FAST_CONVERTERS
from .utils import logging


logging.set_verbosity_info()

__UpperCamelCase    		=       logging.get_logger(__name__)


__UpperCamelCase    		=       {name: getattr(transformers, name + 'Fast') for name in SLOW_TO_FAST_CONVERTERS}
def        UpperCamelCase_(				_A   :int				,     _A   :Optional[Any]				,     _A   :int				,     _A   :List[str]  )->		Optional[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:
						UpperCamelCase__					=       TOKENIZER_CLASSES
			else:
						UpperCamelCase__					=       {tokenizer_name: getattr(_A				,     tokenizer_name + "Fast"  )}

			logger.info(F'''Loading tokenizer classes: {tokenizer_names}'''  )

			for tokenizer_name in tokenizer_names:
						UpperCamelCase__					=       TOKENIZER_CLASSES[tokenizer_name]

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

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

												logger.info(F'''=> {dump_path_full} with prefix {checkpoint_prefix_name}, add_prefix {add_prefix}'''  )

									UpperCamelCase__					=       tokenizer.save_pretrained(
									    _A				,     legacy_format=_A				,     filename_prefix=_A  )
									logger.info(F'''=> File names {file_names}'''  )

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


if __name__ == "__main__":
						__UpperCamelCase    		=       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.',
						)
						__UpperCamelCase    		=       parser.parse_args()

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






from abc import ABC, abstractmethod
from argparse import ArgumentParser







class        lowerCamelCase__	(							UpperCAmelCase      ):






			"""simple docstring"""






			@staticmethod
			@abstractmethod
			def 				snake_case__				(							snake_case     ):

						'''simple docstring'''


						raise NotImplementedError()







			@abstractmethod
			def 				snake_case__				(							self     ):

						'''simple docstring'''


						raise NotImplementedError()


