'''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()

lowercase_     		= logging.get_logger(__name__)


lowercase_     		= {name: getattr(transformers, name + '''Fast''') for name in SLOW_TO_FAST_CONVERTERS}



def 							UpperCamelCase__			(			a__			,      a__			,      a__			,      a__      ):


						'''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(a__			,      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(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:
																								_lowerCAmelCase										=checkpoint.split('/'      )
																								_lowerCAmelCase										=os.path.join(a__			,      a__      )
																		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(a__      )[-1][0]
																								if next_char == "/":
																														_lowerCAmelCase										=os.path.join(a__			,      a__      )
																														_lowerCAmelCase										=None

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

																		_lowerCAmelCase										=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__":
							lowercase_     		= 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.''',
							)
							lowercase_     		= parser.parse_args()

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






'''simple docstring'''

import unittest

from knapsack import knapsack as k
class   SCREAMING_SNAKE_CASE			(						unittest.TestCase):







		"""simple docstring"""






		def 		UpperCamelCase__       (   self				) ->     Optional[Any]:
								_lowerCAmelCase										=0
								_lowerCAmelCase										=[0]
								_lowerCAmelCase										=[0]
								_lowerCAmelCase										=len(__A				)
								self.assertEqual(k.knapsack(__A		,						__A		,						__A		,						__A				)		,						0				)

								_lowerCAmelCase										=[60]
								_lowerCAmelCase										=[10]
								_lowerCAmelCase										=len(__A				)
								self.assertEqual(k.knapsack(__A		,						__A		,						__A		,						__A				)		,						0				)






		def 		UpperCamelCase__       (   self				) ->     Tuple:
								_lowerCAmelCase										=3
								_lowerCAmelCase										=[1, 2, 3]
								_lowerCAmelCase										=[3, 2, 1]
								_lowerCAmelCase										=len(__A				)
								self.assertEqual(k.knapsack(__A		,						__A		,						__A		,						__A				)		,						5				)






		def 		UpperCamelCase__       (   self				) ->     Union[str, Any]:
								_lowerCAmelCase										=50
								_lowerCAmelCase										=[60, 100, 120]
								_lowerCAmelCase										=[10, 20, 30]
								_lowerCAmelCase										=len(__A				)
								self.assertEqual(k.knapsack(__A		,						__A		,						__A		,						__A				)		,						220				)


if __name__ == "__main__":
							unittest.main()





