






'''simple docstring'''
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


a_					=	logging.get_logger(__name__)

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

a_					=	{
    '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        __SCREAMING_SNAKE_CASE (     lowerCamelCase			):
 snake_case_												=							VOCAB_FILES_NAMES
 snake_case_												=							PRETRAINED_VOCAB_FILES_MAP
 snake_case_												=							["""input_ids""", """attention_mask"""]
 snake_case_												=							None




 def __init__( self		:							List[Any]   , __lowercase		:							Optional[int]=None   , __lowercase		:							Dict=None   , __lowercase		:							Tuple=None   , __lowercase		:							Optional[Any]="<unk>"   , __lowercase		:							Dict="<s>"   , __lowercase		:							List[Any]="</s>"   , __lowercase		:							Optional[Any]="<pad>"   , __lowercase		:							str=False   , __lowercase		:							str=False   , **__lowercase		:							str   , )		->  Dict:
       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   , )
       SCREAMING_SNAKE_CASE__       :			Tuple													=json.loads(self.backend_tokenizer.pre_tokenizer.__getstate__() )
       if pre_tok_state.get('''add_prefix_space'''   , __lowercase ) != add_prefix_space:
             SCREAMING_SNAKE_CASE__       :			Optional[int]													=getattr(__lowercase   , pre_tok_state.pop('''type''' ) )
             SCREAMING_SNAKE_CASE__       :			List[Any]													=add_prefix_space
             SCREAMING_SNAKE_CASE__       :			Dict													=pre_tok_class(**__lowercase )

       SCREAMING_SNAKE_CASE__       :			Dict													=add_prefix_space




 def        __magic_name__		( self		:							Union[str, Any]   , *__lowercase		:							Optional[int]   , **__lowercase		:							int )		->  BatchEncoding:
       SCREAMING_SNAKE_CASE__       :			Dict													=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        __magic_name__		( self		:							List[str]   , *__lowercase		:							Dict   , **__lowercase		:							List[str] )		->  BatchEncoding:
       SCREAMING_SNAKE_CASE__       :			str													=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        __magic_name__		( self		:							Union[str, Any]   , __lowercase		:							str   , __lowercase		:							Optional[str] = None )		->  Tuple[str]:
       SCREAMING_SNAKE_CASE__       :			Optional[Any]													=self._tokenizer.model.save(__lowercase   , name=__lowercase )
       return tuple(__lowercase )




 def        __magic_name__		( self		:							Union[str, Any]   , __lowercase		:							"Conversation" )		->  List[int]:
       SCREAMING_SNAKE_CASE__       :			Optional[int]													=[]
       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:
             SCREAMING_SNAKE_CASE__       :			Optional[int]													=input_ids[-self.model_max_length :]
       return input_ids







'''simple docstring'''
from decimal import Decimal, getcontext
from math import ceil, factorial





def 	_a(					UpperCamelCase__			:  int							):




      '''simple docstring'''






      if not isinstance(UpperCamelCase__,		UpperCamelCase__							):
            raise TypeError('''Undefined for non-integers'''							)
      elif precision < 1:
            raise ValueError('''Undefined for non-natural numbers'''							)

      SCREAMING_SNAKE_CASE__       :			Optional[Any]													=precision
      SCREAMING_SNAKE_CASE__       :			int													=ceil(precision / 1_4							)
      SCREAMING_SNAKE_CASE__       :			int													=4_2_6_8_8_0 * Decimal(1_0_0_0_5							).sqrt()
      SCREAMING_SNAKE_CASE__       :			Tuple													=1
      SCREAMING_SNAKE_CASE__       :			Any													=1_3_5_9_1_4_0_9
      SCREAMING_SNAKE_CASE__       :			List[Any]													=Decimal(UpperCamelCase__							)
      for k in range(1,		UpperCamelCase__							):
            SCREAMING_SNAKE_CASE__       :			str													=factorial(6 * k							) // (factorial(3 * k							) * factorial(UpperCamelCase__							) ** 3)
            linear_term += 5_4_5_1_4_0_1_3_4
            exponential_term *= -2_6_2_5_3_7_4_1_2_6_4_0_7_6_8_0_0_0
            partial_sum += Decimal(multinomial_term * linear_term							) / exponential_term
      return str(constant_term / partial_sum							)[:-1]


if __name__ == "__main__":
  a_					=	5_0
  print(F'''The first {n} digits of pi is: {pi(n)}''')