





'''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__		:     Any			=							logging.get_logger(__name__)


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







def    a__							(							lowercase   :	Any,   lowercase   :	List[str],   lowercase   :	List[str],   lowercase   :	int )						->						Tuple:





     """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:
          _UpperCamelCase							       =			TOKENIZER_CLASSES
     else:
          _UpperCamelCase							       =			{tokenizer_name: getattr(lowercase,   tokenizer_name + '''Fast''' )}

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

     for tokenizer_name in tokenizer_names:
          _UpperCamelCase							       =			TOKENIZER_CLASSES[tokenizer_name]

          _UpperCamelCase							       =			True
          if checkpoint_name is None:
               _UpperCamelCase							       =			list(tokenizer_class.max_model_input_sizes.keys() )
          else:
               _UpperCamelCase							       =			[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							       =			tokenizer_class.from_pretrained(lowercase,   force_download=lowercase )

               # 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							       =			checkpoint.split('''/''' )
                    _UpperCamelCase							       =			os.path.join(lowercase,   lowercase )
               elif add_prefix:
                    _UpperCamelCase							       =			checkpoint
                    _UpperCamelCase							       =			dump_path
               else:
                    _UpperCamelCase							       =			None
                    _UpperCamelCase							       =			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							       =			list(tokenizer.pretrained_vocab_files_map.values() )[0][checkpoint]
                    _UpperCamelCase							       =			file_path.split(lowercase )[-1][0]
                    if next_char == "/":
                         _UpperCamelCase							       =			os.path.join(lowercase,   lowercase )
                         _UpperCamelCase							       =			None

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

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

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


if __name__ == "__main__":
   lowercase__		:     Dict			=							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__		:     List[str]			=							parser.parse_args()

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










'''simple docstring'''

def    a__							(							lowercase   :	Dict,   lowercase   :	Optional[Any] )						->						int:





     """simple docstring"""

     _UpperCamelCase							       =			0
     _UpperCamelCase							       =			len(lowercase ) - 1

     while left <= right:
          # avoid divided by 0 during interpolation
          if sorted_collection[left] == sorted_collection[right]:
               if sorted_collection[left] == item:
                    return left
               else:
                    return None

          _UpperCamelCase							       =			left + ((item - sorted_collection[left]) * (right - left)) // (
              sorted_collection[right] - sorted_collection[left]
          )

          # out of range check
          if point < 0 or point >= len(lowercase ):
               return None

          _UpperCamelCase							       =			sorted_collection[point]
          if current_item == item:
               return point
          else:
               if point < left:
                    _UpperCamelCase							       =			left
                    _UpperCamelCase							       =			point
               elif point > right:
                    _UpperCamelCase							       =			right
                    _UpperCamelCase							       =			point
               else:
                    if item < current_item:
                         _UpperCamelCase							       =			point - 1
                    else:
                         _UpperCamelCase							       =			point + 1
     return None







def    a__							(							lowercase   :	int,   lowercase   :	Optional[int],   lowercase   :	List[Any],   lowercase   :	List[Any] )						->						Dict:





     """simple docstring"""

     if sorted_collection[left] == sorted_collection[right]:
          if sorted_collection[left] == item:
               return left
          else:
               return None

     _UpperCamelCase							       =			left + ((item - sorted_collection[left]) * (right - left)) // (
         sorted_collection[right] - sorted_collection[left]
     )

     # out of range check
     if point < 0 or point >= len(lowercase ):
          return None

     if sorted_collection[point] == item:
          return point
     elif point < left:
          return interpolation_search_by_recursion(lowercase,   lowercase,   lowercase,   lowercase )
     elif point > right:
          return interpolation_search_by_recursion(lowercase,   lowercase,   lowercase,   lowercase )
     else:
          if sorted_collection[point] > item:
               return interpolation_search_by_recursion(
                   lowercase,   lowercase,   lowercase,   point - 1 )
          else:
               return interpolation_search_by_recursion(
                   lowercase,   lowercase,   point + 1,   lowercase )







def    a__							(							lowercase   :	Any )						->						List[Any]:





     """simple docstring"""

     if collection != sorted(lowercase ):
          raise ValueError('''Collection must be ascending sorted''' )
     return True


if __name__ == "__main__":
   import sys
   lowercase__		:     int			=							0
   if debug == 1:
      lowercase__		:     Optional[Any]			=							[10, 30, 40, 45, 50, 66, 77, 93]
      try:
         __assert_sorted(collection)
      except ValueError:
         sys.exit('Sequence must be ascending sorted to apply interpolation search')
      lowercase__		:     List[str]			=							67

   lowercase__		:     Optional[int]			=							interpolation_search(collection, target)
   if result is not None:
      print(F"""{target} found at positions: {result}""")
   else:
      print('Not found')



