





import argparse
import os

import transformers

from .convert_slow_tokenizer import SLOW_TO_FAST_CONVERTERS
from .utils import logging


logging.set_verbosity_info()

SCREAMING_SNAKE_CASE_						       =	logging.get_logger(__name__)


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



def        __lowercase       (				_SCREAMING_SNAKE_CASE			,						_SCREAMING_SNAKE_CASE			,						_SCREAMING_SNAKE_CASE			,						_SCREAMING_SNAKE_CASE     )			->       List[str]:


      '''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:
            SCREAMING_SNAKE_CASE		=						TOKENIZER_CLASSES
      else:
            SCREAMING_SNAKE_CASE		=						{tokenizer_name: getattr(_SCREAMING_SNAKE_CASE			,						tokenizer_name + """Fast"""     )}

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

      for tokenizer_name in tokenizer_names:
            SCREAMING_SNAKE_CASE		=						TOKENIZER_CLASSES[tokenizer_name]

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

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

                  SCREAMING_SNAKE_CASE		=						tokenizer.save_pretrained(
                      _SCREAMING_SNAKE_CASE			,						legacy_format=_SCREAMING_SNAKE_CASE			,						filename_prefix=_SCREAMING_SNAKE_CASE     )
                  logger.info(F"""=> File names {file_names}"""     )

                  for file_name in file_names:
                        if not file_name.endswith("""tokenizer.json"""     ):
                              os.remove(_SCREAMING_SNAKE_CASE     )
                              logger.info(F"""=> removing {file_name}"""     )


if __name__ == "__main__":
      SCREAMING_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.""",
      )
      SCREAMING_SNAKE_CASE_						       =	parser.parse_args()

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









from __future__ import annotations

import math



def        __lowercase       (				_SCREAMING_SNAKE_CASE     )			->       bool:


      '''simple docstring'''


      if 1 < number < 4:
            # 2 and 3 are primes
            return True
      elif number < 2 or number % 2 == 0 or number % 3 == 0:
            # Negatives, 0, 1, all even numbers, all multiples of 3 are not primes
            return False

      # All primes number are in format of 6k +/- 1
      for i in range(5			,						int(math.sqrt(_SCREAMING_SNAKE_CASE     ) + 1     )			,						6     ):
            if number % i == 0 or number % (i + 2) == 0:
                  return False
      return True



def        __lowercase       (				_SCREAMING_SNAKE_CASE     )			->       list[int]:


      '''simple docstring'''


      SCREAMING_SNAKE_CASE		=						str(_SCREAMING_SNAKE_CASE     )
      SCREAMING_SNAKE_CASE		=						[n]
      for i in range(1			,						len(_SCREAMING_SNAKE_CASE     )     ):
            list_nums.append(int(str_num[i:]     )     )
            list_nums.append(int(str_num[:-i]     )     )
      return list_nums



def        __lowercase       (				_SCREAMING_SNAKE_CASE     )			->       bool:


      '''simple docstring'''


      if len(str(_SCREAMING_SNAKE_CASE     )     ) > 3:
            if not is_prime(int(str(_SCREAMING_SNAKE_CASE     )[-3:]     )     ) or not is_prime(int(str(_SCREAMING_SNAKE_CASE     )[:3]     )     ):
                  return False
      return True



def        __lowercase       (				_SCREAMING_SNAKE_CASE = 11     )			->       list[int]:


      '''simple docstring'''


      SCREAMING_SNAKE_CASE		=						[]
      SCREAMING_SNAKE_CASE		=						13
      while len(_SCREAMING_SNAKE_CASE     ) != count:
            if validate(_SCREAMING_SNAKE_CASE     ):
                  SCREAMING_SNAKE_CASE		=						list_truncated_nums(_SCREAMING_SNAKE_CASE     )
                  if all(is_prime(_SCREAMING_SNAKE_CASE     ) for i in list_nums     ):
                        list_truncated_primes.append(_SCREAMING_SNAKE_CASE     )
            num += 2
      return list_truncated_primes



def        __lowercase       (				)			->       int:


      '''simple docstring'''


      return sum(compute_truncated_primes(11     )     )


if __name__ == "__main__":
      print(F'''{sum(compute_truncated_primes(1_1)) = }''')


