
"""simple docstring"""





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__		(      __snake_case,					__snake_case,					__snake_case,					__snake_case     )							->		Optional[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:
										_UpperCamelCase										=  TOKENIZER_CLASSES
					else:
										_UpperCamelCase										=  {tokenizer_name: getattr(__snake_case,					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(__snake_case,					force_download=__snake_case     )

															# 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(__snake_case,					__snake_case     )
															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(__snake_case     )[-1][0]
																				if next_char == "/":
																									_UpperCamelCase										=  os.path.join(__snake_case,					__snake_case     )
																									_UpperCamelCase										=  None

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

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

															for file_name in file_names:
																				if not file_name.endswith('''tokenizer.json'''     ):
																									os.remove(__snake_case     )
																									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)








"""simple docstring"""





class    _UpperCAmelCase:



		def __init__( self    ,		__a    ,		__a    ,		__a)	->	List[Any]:






							'''simple docstring'''
							_UpperCamelCase										=  name
							_UpperCamelCase										=  value
							_UpperCamelCase										=  weight



		def __repr__( self)	->	List[str]:






							'''simple docstring'''
							return F'''{self.__class__.__name__}({self.name}, {self.value}, {self.weight})'''



		def 						UpperCAmelCase							( self)	->	Tuple:






							'''simple docstring'''
							return self.value



		def 						UpperCAmelCase							( self)	->	Union[str, Any]:






							'''simple docstring'''
							return self.name



		def 						UpperCAmelCase							( self)	->	int:






							'''simple docstring'''
							return self.weight




		def 						UpperCAmelCase							( self)	->	Any:






							'''simple docstring'''
							return self.value / self.weight





def 				lowerCamelCase__		(      __snake_case,					__snake_case,					__snake_case     )							->		Optional[Any]:


					"""simple docstring"""





					_UpperCamelCase										=  []
					for i in range(len(__snake_case     )     ):
										menu.append(Things(name[i],					value[i],					weight[i]     )     )
					return menu



def 				lowerCamelCase__		(      __snake_case,					__snake_case,					__snake_case     )							->		List[str]:


					"""simple docstring"""





					_UpperCamelCase										=  sorted(__snake_case,					key=__snake_case,					reverse=__snake_case     )
					_UpperCamelCase										=  []
					_UpperCamelCase			,  _UpperCamelCase										=  0.0, 0.0
					for i in range(len(__snake_case     )     ):
										if (total_cost + items_copy[i].get_weight()) <= max_cost:
															result.append(items_copy[i]     )
															total_cost += items_copy[i].get_weight()
															total_value += items_copy[i].get_value()
					return (result, total_value)



def 				lowerCamelCase__		(      )							->		List[str]:


					"""simple docstring"""







if __name__ == "__main__":
				import doctest

				doctest.testmod()






