




import json
from typing import TYPE_CHECKING, List, Optional, Tuple

from tokenizers import pre_tokenizers

from ...tokenization_utils_base import BatchEncoding
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging


if TYPE_CHECKING:
 from transformers.pipelines.conversational import Conversation


lowerCAmelCase_						=			logging.get_logger(__name__)

lowerCAmelCase_						=			{'tokenizer_file': 'tokenizer.json'}

lowerCAmelCase_						=			{
    'tokenizer_file': {
        'bigscience/tokenizer': 'https://huggingface.co/bigscience/tokenizer/blob/main/tokenizer.json',
        'bigscience/bloom-560m': 'https://huggingface.co/bigscience/bloom-560m/blob/main/tokenizer.json',
        'bigscience/bloom-1b1': 'https://huggingface.co/bigscience/bloom-1b1/blob/main/tokenizer.json',
        'bigscience/bloom-1b7': 'https://huggingface.co/bigscience/bloom-1b7/blob/main/tokenizer.json',
        'bigscience/bloom-3b': 'https://huggingface.co/bigscience/bloom-3b/blob/main/tokenizer.json',
        'bigscience/bloom-7b1': 'https://huggingface.co/bigscience/bloom-7b1/blob/main/tokenizer.json',
        'bigscience/bloom': 'https://huggingface.co/bigscience/bloom/blob/main/tokenizer.json',
    },
}
class 						_A (  _lowerCamelCase				):
  _UpperCamelCase       :      Dict			=      VOCAB_FILES_NAMES
  _UpperCamelCase       :      int			=      PRETRAINED_VOCAB_FILES_MAP
  _UpperCamelCase       :      Optional[Any]			=      ['''input_ids''', '''attention_mask''']
  _UpperCamelCase       :      Dict			=      None






  def __init__(  self		:     Any				,						_A		:     List[str]=None				,						_A		:     Optional[Any]=None				,						_A		:     int=None				,						_A		:     str="<unk>"				,						_A		:     List[Any]="<s>"				,						_A		:     Optional[int]="</s>"				,						_A		:     Optional[int]="<pad>"				,						_A		:     Union[str, Any]=False				,						_A		:     Union[str, Any]=False				,						**_A		:     List[Any]				,						)		->   str:






       """simple docstring"""







       super().__init__(
           _A				,						_A				,						tokenizer_file=_A				,						unk_token=_A				,						bos_token=_A				,						eos_token=_A				,						pad_token=_A				,						add_prefix_space=_A				,						clean_up_tokenization_spaces=_A				,						**_A				,						)
       lowercase :       str       =			json.loads(self.backend_tokenizer.pre_tokenizer.__getstate__()				)
       if pre_tok_state.get('''add_prefix_space'''				,						_A				) != add_prefix_space:
            lowercase :       List[str]       =			getattr(_A				,						pre_tok_state.pop('''type'''				)				)
            lowercase :       Dict       =			add_prefix_space
            lowercase :       Union[str, Any]       =			pre_tok_class(**_A				)

       lowercase :       Union[str, Any]       =			add_prefix_space






  def  __a      (  self		:     Optional[int]				,						*_A		:     str				,						**_A		:     Any				)		->   BatchEncoding:






       """simple docstring"""







       lowercase :       Any       =			kwargs.get('''is_split_into_words'''				,						_A				)
       if not (self.add_prefix_space or not is_split_into_words):
            raise Exception(
                f"""You need to instantiate {self.__class__.__name__} with add_prefix_space=True to use it with"""
                ''' pretokenized inputs.'''				)

       return super()._batch_encode_plus(*_A				,						**_A				)






  def  __a      (  self		:     str				,						*_A		:     str				,						**_A		:     List[Any]				)		->   BatchEncoding:






       """simple docstring"""







       lowercase :       Union[str, Any]       =			kwargs.get('''is_split_into_words'''				,						_A				)

       if not (self.add_prefix_space or not is_split_into_words):
            raise Exception(
                f"""You need to instantiate {self.__class__.__name__} with add_prefix_space=True to use it with"""
                ''' pretokenized inputs.'''				)

       return super()._encode_plus(*_A				,						**_A				)






  def  __a      (  self		:     List[Any]				,						_A		:     str				,						_A		:     Optional[str] = None				)		->   Tuple[str]:






       """simple docstring"""







       lowercase :       List[str]       =			self._tokenizer.model.save(_A				,						name=_A				)
       return tuple(_A				)






  def  __a      (  self		:     List[Any]				,						_A		:     "Conversation"				)		->   List[int]:






       """simple docstring"""







       lowercase :       Tuple       =			[]
       for is_user, text in conversation.iter_texts():
            input_ids.extend(self.encode(_A				,						add_special_tokens=_A				) + [self.eos_token_id]				)

       if len(_A				) > self.model_max_length:
            lowercase :       int       =			input_ids[-self.model_max_length :]
       return input_ids





import os
from collections.abc import Iterator






def  snake_case(    __magic_name__ = "."   )			->							Iterator[str]:





     '''simple docstring'''


     for dir_path, dir_names, filenames in os.walk(__magic_name__   ):
          lowercase :       Tuple       =			[d for d in dir_names if d != '''scripts''' and d[0] not in '''._''']
          for filename in filenames:
               if filename == "__init__.py":
                    continue
               if os.path.splitext(__magic_name__   )[1] in (".py", ".ipynb"):
                    yield os.path.join(__magic_name__			,		__magic_name__   ).lstrip('''./'''   )






def  snake_case(    __magic_name__   )			->							Dict:





     '''simple docstring'''


     return F"""{i * '  '}*""" if i else "\n##"






def  snake_case(    __magic_name__			,		__magic_name__   )			->							str:





     '''simple docstring'''


     lowercase :       Dict       =			old_path.split(os.sep   )
     for i, new_part in enumerate(new_path.split(os.sep   )   ):
          if (i + 1 > len(__magic_name__   ) or old_parts[i] != new_part) and new_part:
               print(F"""{md_prefix(__magic_name__   )} {new_part.replace('_'			,		' '   ).title()}"""   )
     return new_path






def  snake_case(    __magic_name__ = "."   )			->							None:





     '''simple docstring'''


     lowercase :       str       =			''''''
     for filepath in sorted(good_file_paths(__magic_name__   )   ):
          lowercase      ,	lowercase :       Optional[int]       =			os.path.split(__magic_name__   )
          if filepath != old_path:
               lowercase :       str       =			print_path(__magic_name__			,		__magic_name__   )
          lowercase :       Optional[int]       =			(filepath.count(os.sep   ) + 1) if filepath else 0
          lowercase :       Optional[Any]       =			F"""{filepath}/{filename}""".replace(''' '''			,		'''%20'''   )
          lowercase :       List[str]       =			os.path.splitext(filename.replace('''_'''			,		''' '''   ).title()   )[0]
          print(F"""{md_prefix(__magic_name__   )} [{filename}]({url})"""   )


if __name__ == "__main__":
 print_directory_md('.')