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


UpperCAmelCase_			    =							logging.get_logger(__name__)

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

UpperCAmelCase_			    =							{
    '''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  __magic_name__  (		__a    ):





   """simple docstring"""




   lowerCAmelCase      :    str  			=   VOCAB_FILES_NAMES
   lowerCAmelCase      :    Dict  			=   PRETRAINED_VOCAB_FILES_MAP
   lowerCAmelCase      :    Dict  			=   ['''input_ids''', '''attention_mask''']
   lowerCAmelCase      :    Optional[int]  			=   None



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



    """simple docstring"""



    super().__init__(
        _lowercase		,  _lowercase		,  tokenizer_file=_lowercase		,  unk_token=_lowercase		,  bos_token=_lowercase		,  eos_token=_lowercase		,  pad_token=_lowercase		,  add_prefix_space=_lowercase		,  clean_up_tokenization_spaces=_lowercase		,  **_lowercase		,  )
    _UpperCamelCase:     Dict							= json.loads(self.backend_tokenizer.pre_tokenizer.__getstate__()							)
    if pre_tok_state.get('''add_prefix_space'''		,  _lowercase							) != add_prefix_space:
     _UpperCamelCase:     Dict							= getattr(_lowercase		,  pre_tok_state.pop('''type'''							)							)
     _UpperCamelCase:     Optional[int]							= add_prefix_space
     _UpperCamelCase:     Optional[int]							= pre_tok_class(**_lowercase							)

    _UpperCamelCase:     Dict							= add_prefix_space



   def   lowerCAmelCase						(	self					:  List[str]		,  *_lowercase					:  Optional[int]		,  **_lowercase					:  int							):



    """simple docstring"""



    _UpperCamelCase:     int							= kwargs.get('''is_split_into_words'''		,  _lowercase							)
    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(*_lowercase		,  **_lowercase							)



   def   lowerCAmelCase						(	self					:  Any		,  *_lowercase					:  List[str]		,  **_lowercase					:  List[Any]							):



    """simple docstring"""



    _UpperCamelCase:     Union[str, Any]							= kwargs.get('''is_split_into_words'''		,  _lowercase							)

    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(*_lowercase		,  **_lowercase							)



   def   lowerCAmelCase						(	self					:  int		,  _lowercase					:  str		,  _lowercase					:  Optional[str] = None							):



    """simple docstring"""



    _UpperCamelCase:     Tuple							= self._tokenizer.model.save(_lowercase		,  name=_lowercase							)
    return tuple(_lowercase							)



   def   lowerCAmelCase						(	self					:  Optional[Any]		,  _lowercase					:  "Conversation"							):



    """simple docstring"""



    _UpperCamelCase:     List[str]							= []
    for is_user, text in conversation.iter_texts():
     input_ids.extend(self.encode(_lowercase		,  add_special_tokens=_lowercase							) + [self.eos_token_id]							)

    if len(_lowercase							) > self.model_max_length:
     _UpperCamelCase:     List[Any]							= input_ids[-self.model_max_length :]
    return input_ids
def       lowerCAmelCase_     (		lowercase:							float		)    ->				float:







 '''simple docstring'''

 if edge <= 0 or not isinstance(lowercase  ,					lowercase		):
  raise ValueError('''Length must be a positive.'''		)
 return 3 * ((25 + 10 * (5 ** (1 / 2))) ** (1 / 2)) * (edge**2)




def       lowerCAmelCase_     (		lowercase:							float		)    ->				float:







 '''simple docstring'''

 if edge <= 0 or not isinstance(lowercase  ,					lowercase		):
  raise ValueError('''Length must be a positive.'''		)
 return ((15 + (7 * (5 ** (1 / 2)))) / 4) * (edge**3)


if __name__ == "__main__":
  import doctest

  doctest.testmod()