


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 __future__ import annotations
def        UpperCamelCase_(				_A   :list[int]				,     _A   :int  )->		list[int]:
			UpperCamelCase__					=       0
			UpperCamelCase__					=       len(_A  ) - 1

			while i < j:
						if nums[i] + nums[j] == target:
									return [i, j]
						elif nums[i] + nums[j] < target:
									UpperCamelCase__					=       i + 1
						else:
									UpperCamelCase__					=       j - 1

			return []


if __name__ == "__main__":
						import doctest

						doctest.testmod()
						print(f'''{two_pointer([2, 7, 1_1, 1_5], 9) = }''')


