
import argparse
import os

import transformers

from .convert_slow_tokenizer import SLOW_TO_FAST_CONVERTERS
from .utils import logging


logging.set_verbosity_info()

_A  =	logging.get_logger(__name__)


_A  =	{name: getattr(transformers, name + "Fast") for name in SLOW_TO_FAST_CONVERTERS}






def   lowerCamelCase__							(							__lowerCAmelCase    :    Optional[int]       ,				__lowerCAmelCase    :    Union[str, Any]       ,				__lowerCAmelCase    :    Any       ,				__lowerCAmelCase    :    List[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(__lowerCAmelCase       ,				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(__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:
												lowerCAmelCase_      ,    lowerCAmelCase_         =      checkpoint.split("/"							)
												lowerCAmelCase_         =      os.path.join(__lowerCAmelCase       ,				__lowerCAmelCase							)
									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(__lowerCAmelCase							)[-1][0]
												if next_char == "/":
															lowerCAmelCase_         =      os.path.join(__lowerCAmelCase       ,				__lowerCAmelCase							)
															lowerCAmelCase_         =      None

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

									lowerCAmelCase_         =      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__":
			_A  =	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.",
			)
			_A  =	parser.parse_args()

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





from functools import reduce

_A  =	(
    "73167176531330624919225119674426574742355349194934"
    "96983520312774506326239578318016984801869478851843"
    "85861560789112949495459501737958331952853208805511"
    "12540698747158523863050715693290963295227443043557"
    "66896648950445244523161731856403098711121722383113"
    "62229893423380308135336276614282806444486645238749"
    "30358907296290491560440772390713810515859307960866"
    "70172427121883998797908792274921901699720888093776"
    "65727333001053367881220235421809751254540594752243"
    "52584907711670556013604839586446706324415722155397"
    "53697817977846174064955149290862569321978468622482"
    "83972241375657056057490261407972968652414535100474"
    "82166370484403199890008895243450658541227588666881"
    "16427171479924442928230863465674813919123162824586"
    "17866458359124566529476545682848912883142607690042"
    "24219022671055626321111109370544217506941658960408"
    "07198403850962455444362981230987879927244284909188"
    "84580156166097919133875499200524063689912560717606"
    "05886116467109405077541002256983155200055935729725"
    "71636269561882670428252483600823257530420752963450"
)






def   lowerCamelCase__							(							__lowerCAmelCase    :    str = N							):




			"""simple docstring"""


			return max(
			    # mypy cannot properly interpret reduce
			    int(reduce(lambda __lowerCAmelCase       ,				__lowerCAmelCase							: str(int(__lowerCAmelCase							) * int(__lowerCAmelCase							)							)       ,				n[i : i + 13]							)							)
			    for i in range(len(__lowerCAmelCase							) - 12							)							)


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



