






import argparse
import os

import transformers

from .convert_slow_tokenizer import SLOW_TO_FAST_CONVERTERS
from .utils import logging


logging.set_verbosity_info()

A_       :Union[str, Any]       =						logging.get_logger(__name__)


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






def 							A     (       a_							,a_							,a_							,a_					)     ->						Optional[Any]:
					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      :					Any       		=TOKENIZER_CLASSES
					else:
										__UpperCamelCase      :					Tuple       		={tokenizer_name: getattr(a_							,tokenizer_name + 'Fast'					)}

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

					for tokenizer_name in tokenizer_names:
										__UpperCamelCase      :					Union[str, Any]       		=TOKENIZER_CLASSES[tokenizer_name]

										__UpperCamelCase      :					List[str]       		=True
										if checkpoint_name is None:
															__UpperCamelCase      :					Any       		=list(tokenizer_class.max_model_input_sizes.keys()					)
										else:
															__UpperCamelCase      :					Optional[Any]       		=[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      :					str       		=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      :					Optional[int]       		=checkpoint.split('/'					)
																				__UpperCamelCase      :					Any       		=os.path.join(a_							,a_					)
															elif add_prefix:
																				__UpperCamelCase      :					str       		=checkpoint
																				__UpperCamelCase      :					List[str]       		=dump_path
															else:
																				__UpperCamelCase      :					List[Any]       		=None
																				__UpperCamelCase      :					List[Any]       		=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      :					str       		=list(tokenizer.pretrained_vocab_files_map.values()					)[0][checkpoint]
																				__UpperCamelCase      :					Any       		=file_path.split(a_					)[-1][0]
																				if next_char == "/":
																									__UpperCamelCase      :					str       		=os.path.join(a_							,a_					)
																									__UpperCamelCase      :					int       		=None

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

															__UpperCamelCase      :					Tuple       		=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__":
							A_       :Optional[int]       =						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_       :List[Any]       =						parser.parse_args()

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



def 						_snake_case(  SCREAMING_SNAKE_CASE__					,	SCREAMING_SNAKE_CASE__					,	SCREAMING_SNAKE_CASE__					,	SCREAMING_SNAKE_CASE__					,	SCREAMING_SNAKE_CASE__					,	SCREAMING_SNAKE_CASE__				) ->    List[str]:
       if index == r:
              for j in range(SCREAMING_SNAKE_CASE__				):
                     print(data[j]					,	end=""" """				)
              print(""" """				)
              return
       #  When no more elements are there to put in data[]
       if i >= n:
              return
       # current is included, put next at next location
       lowercase							:     Tuple       	=      arr[i]
       combination_util(SCREAMING_SNAKE_CASE__					,	SCREAMING_SNAKE_CASE__					,	SCREAMING_SNAKE_CASE__					,	index + 1					,	SCREAMING_SNAKE_CASE__					,	i + 1				)
       # current is excluded, replace it with
       # next (Note that i+1 is passed, but
       # index is not changed)
       combination_util(SCREAMING_SNAKE_CASE__					,	SCREAMING_SNAKE_CASE__					,	SCREAMING_SNAKE_CASE__					,	SCREAMING_SNAKE_CASE__					,	SCREAMING_SNAKE_CASE__					,	i + 1				)
       # The main function that prints all combinations
       # of size r in arr[] of size n. This function
       # mainly uses combinationUtil()







def 						_snake_case(  SCREAMING_SNAKE_CASE__					,	SCREAMING_SNAKE_CASE__					,	SCREAMING_SNAKE_CASE__				) ->    List[str]:
       # A temporary array to store all combination one by one
       lowercase							:     Optional[int]       	=      [0] * r
       # Print all combination using temporary array 'data[]'
       combination_util(SCREAMING_SNAKE_CASE__					,	SCREAMING_SNAKE_CASE__					,	SCREAMING_SNAKE_CASE__					,	0					,	SCREAMING_SNAKE_CASE__					,	0				)


if __name__ == "__main__":
  # Driver code to check the function above
  lowercase  :					int						    =							[10, 20, 30, 40, 50]
  print_combination(arr, len(arr), 3)
  # This code is contributed by Ambuj sahu
