


import argparse
import os

import transformers

from .convert_slow_tokenizer import SLOW_TO_FAST_CONVERTERS
from .utils import logging


logging.set_verbosity_info()

snake_case      =   logging.get_logger(__name__)


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






def 							__lowercase     (				__lowerCAmelCase							:       Optional[Any]      ,					__lowerCAmelCase							:       Union[str, Any]      ,					__lowerCAmelCase							:       Any      ,					__lowerCAmelCase							:       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:
														a__    =  TOKENIZER_CLASSES
							else:
														a__    =  {tokenizer_name: getattr(__lowerCAmelCase      ,					tokenizer_name + 'Fast'     )}

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

							for tokenizer_name in tokenizer_names:
														a__    =  TOKENIZER_CLASSES[tokenizer_name]

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

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

																					a__    =  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__":
						snake_case      =   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.''',
						)
						snake_case      =   parser.parse_args()

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








from math import ceil, sqrt






def 							__lowercase     (				__lowerCAmelCase							:       int = 1_0_0_0_0_0_0     ):
							a__    =  0

							for outer_width in range(3      ,					(limit // 4) + 2     ):
														if outer_width**2 > limit:
																					a__    =  max(ceil(sqrt(outer_width**2 - limit     )     )      ,					1     )
														else:
																					a__    =  1
														if (outer_width - hole_width_lower_bound) % 2:
																					hole_width_lower_bound += 1

														answer += (outer_width - hole_width_lower_bound - 2) // 2 + 1

							return answer


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




