





'''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 						__magic_name__       (							__UpperCAmelCase							,	__UpperCAmelCase							,	__UpperCAmelCase							,	__UpperCAmelCase      )						->					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(__UpperCAmelCase							,	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(__UpperCAmelCase							,	force_download=__UpperCAmelCase      )

         # 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(__UpperCAmelCase							,	__UpperCAmelCase      )
         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(__UpperCAmelCase      )[-1][0]
            if next_char == "/":
               __SCREAMING_SNAKE_CASE      							=       os.path.join(__UpperCAmelCase							,	__UpperCAmelCase      )
               __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(
             __UpperCAmelCase							,	legacy_format=__UpperCAmelCase							,	filename_prefix=__UpperCAmelCase      )
         logger.info(f"""=> File names {file_names}"""      )

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

from __future__ import annotations

import bisect

def 						__magic_name__       (							__UpperCAmelCase							,	__UpperCAmelCase							,	__UpperCAmelCase = 0							,	__UpperCAmelCase = -1      )						->					int:

   '''simple docstring'''







   if hi < 0:
      __SCREAMING_SNAKE_CASE      							=       len(__UpperCAmelCase      )

   while lo < hi:
      __SCREAMING_SNAKE_CASE      							=       lo + (hi - lo) // 2
      if sorted_collection[mid] < item:
         __SCREAMING_SNAKE_CASE      							=       mid + 1
      else:
         __SCREAMING_SNAKE_CASE      							=       mid

   return lo

def 						__magic_name__       (							__UpperCAmelCase							,	__UpperCAmelCase							,	__UpperCAmelCase = 0							,	__UpperCAmelCase = -1      )						->					int:

   '''simple docstring'''







   if hi < 0:
      __SCREAMING_SNAKE_CASE      							=       len(__UpperCAmelCase      )

   while lo < hi:
      __SCREAMING_SNAKE_CASE      							=       lo + (hi - lo) // 2
      if sorted_collection[mid] <= item:
         __SCREAMING_SNAKE_CASE      							=       mid + 1
      else:
         __SCREAMING_SNAKE_CASE      							=       mid

   return lo

def 						__magic_name__       (							__UpperCAmelCase							,	__UpperCAmelCase							,	__UpperCAmelCase = 0							,	__UpperCAmelCase = -1      )						->					None:

   '''simple docstring'''







   sorted_collection.insert(bisect_left(__UpperCAmelCase							,	__UpperCAmelCase							,	__UpperCAmelCase							,	__UpperCAmelCase      )							,	__UpperCAmelCase      )

def 						__magic_name__       (							__UpperCAmelCase							,	__UpperCAmelCase							,	__UpperCAmelCase = 0							,	__UpperCAmelCase = -1      )						->					None:

   '''simple docstring'''







   sorted_collection.insert(bisect_right(__UpperCAmelCase							,	__UpperCAmelCase							,	__UpperCAmelCase							,	__UpperCAmelCase      )							,	__UpperCAmelCase      )

def 						__magic_name__       (							__UpperCAmelCase							,	__UpperCAmelCase      )						->					int | None:

   '''simple docstring'''







   __SCREAMING_SNAKE_CASE      							=       0
   __SCREAMING_SNAKE_CASE      							=       len(__UpperCAmelCase      ) - 1

   while left <= right:
      __SCREAMING_SNAKE_CASE      							=       left + (right - left) // 2
      __SCREAMING_SNAKE_CASE      							=       sorted_collection[midpoint]
      if current_item == item:
         return midpoint
      elif item < current_item:
         __SCREAMING_SNAKE_CASE      							=       midpoint - 1
      else:
         __SCREAMING_SNAKE_CASE      							=       midpoint + 1
   return None

def 						__magic_name__       (							__UpperCAmelCase							,	__UpperCAmelCase      )						->					int | None:

   '''simple docstring'''







   __SCREAMING_SNAKE_CASE      							=       bisect.bisect_left(__UpperCAmelCase							,	__UpperCAmelCase      )
   if index != len(__UpperCAmelCase      ) and sorted_collection[index] == item:
      return index
   return None

def 						__magic_name__       (							__UpperCAmelCase							,	__UpperCAmelCase							,	__UpperCAmelCase							,	__UpperCAmelCase      )						->					int | None:

   '''simple docstring'''







   if right < left:
      return None

   __SCREAMING_SNAKE_CASE      							=       left + (right - left) // 2

   if sorted_collection[midpoint] == item:
      return midpoint
   elif sorted_collection[midpoint] > item:
      return binary_search_by_recursion(__UpperCAmelCase							,	__UpperCAmelCase							,	__UpperCAmelCase							,	midpoint - 1      )
   else:
      return binary_search_by_recursion(__UpperCAmelCase							,	__UpperCAmelCase							,	midpoint + 1							,	__UpperCAmelCase      )


if __name__ == "__main__":
    a        =						input("Enter numbers separated by comma:\n").strip()
    a        =						sorted(int(item) for item in user_input.split(","))
    a        =						int(input("Enter a single number to be found in the list:\n"))
    a        =						binary_search(collection, target)
    if result is None:
        print(F'''{target} was not found in {collection}.''')
    else:
        print(F'''{target} was found at position {result} in {collection}.''')





