






from math import sqrt







def 		SCREAMING_SNAKE_CASE							(					__lowerCAmelCase			) ->	bool:
     assert isinstance(__lowerCAmelCase					,    __lowerCAmelCase			) and (
         number >= 0
     ), "'number' must been an int and positive"

     UpperCamelCase__			:   str       				=  True

     # 0 and 1 are none primes.
     if number <= 1:
          UpperCamelCase__			:   int       				=  False

     for divisor in range(2					,    int(round(sqrt(__lowerCAmelCase			)			)			) + 1			):
          # if 'number' divisible by 'divisor' then sets 'status'
          # of false and break up the loop.
          if number % divisor == 0:
               UpperCamelCase__			:   int       				=  False
               break

    # precondition
     assert isinstance(__lowerCAmelCase					,    __lowerCAmelCase			), "'status' must been from type bool"

     return status







def 		SCREAMING_SNAKE_CASE							(					__lowerCAmelCase			) ->	Tuple:
     assert isinstance(__lowerCAmelCase					,    __lowerCAmelCase			) and (n > 2), "'N' must been an int and > 2"

     # beginList: contains all natural numbers from 2 up to N
     UpperCamelCase__			:   Optional[int]       				=  list(range(2					,    n + 1			)			)

     UpperCamelCase__			:   Optional[Any]       				=  []  # this list will be returns.

     # actual sieve of erathostenes
     for i in range(len(__lowerCAmelCase			)			):
          for j in range(i + 1					,    len(__lowerCAmelCase			)			):
               if (begin_list[i] != 0) and (begin_list[j] % begin_list[i] == 0):
                    UpperCamelCase__			:   Optional[int]       				=  0

    # filters actual prime numbers.
     UpperCamelCase__			:   Optional[int]       				=  [x for x in begin_list if x != 0]

     # precondition
     assert isinstance(__lowerCAmelCase					,    __lowerCAmelCase			), "'ans' must been from type list"

     return ans







def 		SCREAMING_SNAKE_CASE							(					__lowerCAmelCase			) ->	Optional[Any]:
     assert isinstance(__lowerCAmelCase					,    __lowerCAmelCase			) and (n > 2), "'N' must been an int and > 2"

     UpperCamelCase__			:   Optional[int]       				=  []

     # iterates over all numbers between 2 up to N+1
     # if a number is prime then appends to list 'ans'
     for number in range(2					,    n + 1			):
          if is_prime(__lowerCAmelCase			):
               ans.append(__lowerCAmelCase			)

    # precondition
     assert isinstance(__lowerCAmelCase					,    __lowerCAmelCase			), "'ans' must been from type list"

     return ans







def 		SCREAMING_SNAKE_CASE							(					__lowerCAmelCase			) ->	Optional[int]:
     assert isinstance(__lowerCAmelCase					,    __lowerCAmelCase			) and number >= 0, "'number' must been an int and >= 0"

     UpperCamelCase__			:   List[str]       				=  []  # this list will be returns of the function.

     # potential prime number factors.

     UpperCamelCase__			:   Optional[int]       				=  2

     UpperCamelCase__			:   Optional[int]       				=  number

     if number == 0 or number == 1:
          ans.append(__lowerCAmelCase			)

     # if 'number' not prime then builds the prime factorization of 'number'
     elif not is_prime(__lowerCAmelCase			):
          while quotient != 1:
               if is_prime(__lowerCAmelCase			) and (quotient % factor == 0):
                    ans.append(__lowerCAmelCase			)
                    quotient /= factor
               else:
                    factor += 1

     else:
          ans.append(__lowerCAmelCase			)

     # precondition
     assert isinstance(__lowerCAmelCase					,    __lowerCAmelCase			), "'ans' must been from type list"

     return ans







def 		SCREAMING_SNAKE_CASE							(					__lowerCAmelCase			) ->	List[Any]:
     assert isinstance(__lowerCAmelCase					,    __lowerCAmelCase			) and (
         number >= 0
     ), "'number' bust been an int and >= 0"

     UpperCamelCase__			:   str       				=  0

     # prime factorization of 'number'
     UpperCamelCase__			:   str       				=  prime_factorization(__lowerCAmelCase			)

     UpperCamelCase__			:   List[str]       				=  max(__lowerCAmelCase			)

     # precondition
     assert isinstance(__lowerCAmelCase					,    __lowerCAmelCase			), "'ans' must been from type int"

     return ans







def 		SCREAMING_SNAKE_CASE							(					__lowerCAmelCase			) ->	Union[str, Any]:
     assert isinstance(__lowerCAmelCase					,    __lowerCAmelCase			) and (
         number >= 0
     ), "'number' bust been an int and >= 0"

     UpperCamelCase__			:   Dict       				=  0

     # prime factorization of 'number'
     UpperCamelCase__			:   List[str]       				=  prime_factorization(__lowerCAmelCase			)

     UpperCamelCase__			:   int       				=  min(__lowerCAmelCase			)

     # precondition
     assert isinstance(__lowerCAmelCase					,    __lowerCAmelCase			), "'ans' must been from type int"

     return ans







def 		SCREAMING_SNAKE_CASE							(					__lowerCAmelCase			) ->	Optional[int]:
     assert isinstance(__lowerCAmelCase					,    __lowerCAmelCase			), "'number' must been an int"
     assert isinstance(number % 2 == 0					,    __lowerCAmelCase			), "compare bust been from type bool"

     return number % 2 == 0







def 		SCREAMING_SNAKE_CASE							(					__lowerCAmelCase			) ->	Optional[Any]:
     assert isinstance(__lowerCAmelCase					,    __lowerCAmelCase			), "'number' must been an int"
     assert isinstance(number % 2 != 0					,    __lowerCAmelCase			), "compare bust been from type bool"

     return number % 2 != 0







def 		SCREAMING_SNAKE_CASE							(					__lowerCAmelCase			) ->	Optional[int]:
     assert (
         isinstance(__lowerCAmelCase					,    __lowerCAmelCase			) and (number > 2) and is_even(__lowerCAmelCase			)
     ), "'number' must been an int, even and > 2"

     UpperCamelCase__			:   Optional[int]       				=  []  # this list will returned

     # creates a list of prime numbers between 2 up to 'number'
     UpperCamelCase__			:   Any       				=  get_prime_numbers(__lowerCAmelCase			)
     UpperCamelCase__			:   str       				=  len(__lowerCAmelCase			)

     # run variable for while-loops.
     UpperCamelCase__			:   Optional[int]       				=  0
     UpperCamelCase__			:   List[str]       				=  None

     # exit variable. for break up the loops
     UpperCamelCase__			:   Optional[Any]       				=  True

     while i < len_pn and loop:
          UpperCamelCase__			:   Union[str, Any]       				=  i + 1

          while j < len_pn and loop:
               if prime_numbers[i] + prime_numbers[j] == number:
                    UpperCamelCase__			:   int       				=  False
                    ans.append(prime_numbers[i]			)
                    ans.append(prime_numbers[j]			)

               j += 1

          i += 1

     # precondition
     assert (
         isinstance(__lowerCAmelCase					,    __lowerCAmelCase			)
         and (len(__lowerCAmelCase			) == 2)
         and (ans[0] + ans[1] == number)
         and is_prime(ans[0]			)
         and is_prime(ans[1]			)
     ), "'ans' must contains two primes. And sum of elements must been eq 'number'"

     return ans







def 		SCREAMING_SNAKE_CASE							(					__lowerCAmelCase					,    __lowerCAmelCase			) ->	List[Any]:
     assert (
         isinstance(__lowerCAmelCase					,    __lowerCAmelCase			)
         and isinstance(__lowerCAmelCase					,    __lowerCAmelCase			)
         and (numbera >= 0)
         and (numbera >= 0)
     ), "'number1' and 'number2' must been positive integer."

     UpperCamelCase__			:   Dict       				=  0

     while numbera != 0:
          UpperCamelCase__			:   Optional[int]       				=  numbera % numbera
          UpperCamelCase__			:   Dict       				=  numbera
          UpperCamelCase__			:   Any       				=  rest

     # precondition
     assert isinstance(__lowerCAmelCase					,    __lowerCAmelCase			) and (
         numbera >= 0
     ), "'number' must been from type int and positive"

     return numbera







def 		SCREAMING_SNAKE_CASE							(					__lowerCAmelCase					,    __lowerCAmelCase			) ->	Union[str, Any]:
     assert (
         isinstance(__lowerCAmelCase					,    __lowerCAmelCase			)
         and isinstance(__lowerCAmelCase					,    __lowerCAmelCase			)
         and (numbera >= 1)
         and (numbera >= 1)
     ), "'number1' and 'number2' must been positive integer."

     UpperCamelCase__			:   int       				=  1  # actual answer that will be return.

     # for kgV (x,1)
     if numbera > 1 and numbera > 1:
          # builds the prime factorization of 'number1' and 'number2'
          UpperCamelCase__			:   List[Any]       				=  prime_factorization(__lowerCAmelCase			)
          UpperCamelCase__			:   Union[str, Any]       				=  prime_factorization(__lowerCAmelCase			)

     elif numbera == 1 or numbera == 1:
          UpperCamelCase__			:   Optional[Any]       				=  []
          UpperCamelCase__			:   Dict       				=  []
          UpperCamelCase__			:   List[Any]       				=  max(__lowerCAmelCase					,    __lowerCAmelCase			)

     UpperCamelCase__			:   Optional[Any]       				=  0
     UpperCamelCase__			:   Union[str, Any]       				=  0

     UpperCamelCase__			:   List[str]       				=  []  # captured numbers int both 'primeFac1' and 'primeFac2'

     # iterates through primeFac1
     for n in prime_fac_a:
          if n not in done:
               if n in prime_fac_a:
                    UpperCamelCase__			:   Optional[int]       				=  prime_fac_a.count(__lowerCAmelCase			)
                    UpperCamelCase__			:   List[Any]       				=  prime_fac_a.count(__lowerCAmelCase			)

                    for _ in range(max(__lowerCAmelCase					,    __lowerCAmelCase			)			):
                         ans *= n

               else:
                    UpperCamelCase__			:   List[Any]       				=  prime_fac_a.count(__lowerCAmelCase			)

                    for _ in range(__lowerCAmelCase			):
                         ans *= n

               done.append(__lowerCAmelCase			)

    # iterates through primeFac2
     for n in prime_fac_a:
          if n not in done:
               UpperCamelCase__			:   List[str]       				=  prime_fac_a.count(__lowerCAmelCase			)

               for _ in range(__lowerCAmelCase			):
                    ans *= n

               done.append(__lowerCAmelCase			)

    # precondition
     assert isinstance(__lowerCAmelCase					,    __lowerCAmelCase			) and (
         ans >= 0
     ), "'ans' must been from type int and positive"

     return ans







def 		SCREAMING_SNAKE_CASE							(					__lowerCAmelCase			) ->	Any:
     assert isinstance(__lowerCAmelCase					,    __lowerCAmelCase			) and (n >= 0), "'number' must been a positive int"

     UpperCamelCase__			:   List[str]       				=  0
     UpperCamelCase__			:   Optional[Any]       				=  2  # this variable holds the answer

     while index < n:
          index += 1

          ans += 1  # counts to the next number

          # if ans not prime then
          # runs to the next prime number.
          while not is_prime(__lowerCAmelCase			):
               ans += 1

    # precondition
     assert isinstance(__lowerCAmelCase					,    __lowerCAmelCase			) and is_prime(
         __lowerCAmelCase			), "'ans' must been a prime number and from type int"

     return ans







def 		SCREAMING_SNAKE_CASE							(					__lowerCAmelCase					,    __lowerCAmelCase			) ->	Optional[Any]:
     assert (
         is_prime(__lowerCAmelCase			) and is_prime(__lowerCAmelCase			) and (p_number_a < p_number_a)
     ), "The arguments must been prime numbers and 'pNumber1' < 'pNumber2'"

     UpperCamelCase__			:   Optional[int]       				=  p_number_a + 1  # jump to the next number

     UpperCamelCase__			:   List[str]       				=  []  # this list will be returns.

     # if number is not prime then
     # fetch the next prime number.
     while not is_prime(__lowerCAmelCase			):
          number += 1

     while number < p_number_a:
          ans.append(__lowerCAmelCase			)

          number += 1

          # fetch the next prime number.
          while not is_prime(__lowerCAmelCase			):
               number += 1

    # precondition
     assert (
         isinstance(__lowerCAmelCase					,    __lowerCAmelCase			)
         and ans[0] != p_number_a
         and ans[len(__lowerCAmelCase			) - 1] != p_number_a
     ), "'ans' must been a list without the arguments"

     # 'ans' contains not 'pNumber1' and 'pNumber2' !
     return ans







def 		SCREAMING_SNAKE_CASE							(					__lowerCAmelCase			) ->	Any:
     assert isinstance(__lowerCAmelCase					,    __lowerCAmelCase			) and (n >= 1), "'n' must been int and >= 1"

     UpperCamelCase__			:   Optional[Any]       				=  []  # will be returned.

     for divisor in range(1					,    n + 1			):
          if n % divisor == 0:
               ans.append(__lowerCAmelCase			)

    # precondition
     assert ans[0] == 1 and ans[len(__lowerCAmelCase			) - 1] == n, "Error in function getDivisiors(...)"

     return ans







def 		SCREAMING_SNAKE_CASE							(					__lowerCAmelCase			) ->	Union[str, Any]:
     assert isinstance(__lowerCAmelCase					,    __lowerCAmelCase			) and (
         number > 1
     ), "'number' must been an int and >= 1"

     UpperCamelCase__			:   Any       				=  get_divisors(__lowerCAmelCase			)

     # precondition
     assert (
         isinstance(__lowerCAmelCase					,    __lowerCAmelCase			)
         and (divisors[0] == 1)
         and (divisors[len(__lowerCAmelCase			) - 1] == number)
     ), "Error in help-function getDivisiors(...)"

     # summed all divisors up to 'number' (exclusive), hence [:-1]
     return sum(divisors[:-1]			) == number







def 		SCREAMING_SNAKE_CASE							(					__lowerCAmelCase					,    __lowerCAmelCase			) ->	List[str]:
     assert (
         isinstance(__lowerCAmelCase					,    __lowerCAmelCase			)
         and isinstance(__lowerCAmelCase					,    __lowerCAmelCase			)
         and (denominator != 0)
     ), "The arguments must been from type int and 'denominator' != 0"

     # build the greatest common divisor of numerator and denominator.
     UpperCamelCase__			:   List[str]       				=  gcd(abs(__lowerCAmelCase			)					,    abs(__lowerCAmelCase			)			)

     # precondition
     assert (
         isinstance(__lowerCAmelCase					,    __lowerCAmelCase			)
         and (numerator % gcd_of_fraction == 0)
         and (denominator % gcd_of_fraction == 0)
     ), "Error in function gcd(...,...)"

     return (numerator // gcd_of_fraction, denominator // gcd_of_fraction)







def 		SCREAMING_SNAKE_CASE							(					__lowerCAmelCase			) ->	List[str]:
     assert isinstance(__lowerCAmelCase					,    __lowerCAmelCase			) and (n >= 0), "'n' must been a int and >= 0"

     UpperCamelCase__			:   List[Any]       				=  1  # this will be return.

     for factor in range(1					,    n + 1			):
          ans *= factor

     return ans







def 		SCREAMING_SNAKE_CASE							(					__lowerCAmelCase			) ->	Dict:
     assert isinstance(__lowerCAmelCase					,    __lowerCAmelCase			) and (n >= 0), "'n' must been an int and >= 0"

     UpperCamelCase__			:   Dict       				=  0
     UpperCamelCase__			:   str       				=  1
     UpperCamelCase__			:   Tuple       				=  1  # this will be return

     for _ in range(n - 1			):
          UpperCamelCase__			:   str       				=  ans
          ans += fiba
          UpperCamelCase__			:   List[Any]       				=  tmp

     return ans







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

from tokenizers import pre_tokenizers, processors

from ...tokenization_utils_base import AddedToken, BatchEncoding
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging
from .tokenization_blenderbot import BlenderbotTokenizer


if TYPE_CHECKING:
 from transformers.pipelines.conversational import Conversation

lowerCamelCase	:							Union[str, Any]				=logging.get_logger(__name__)


lowerCamelCase	:							str				={
    '''vocab_file''': '''vocab.json''',
    '''merges_file''': '''merges.txt''',
    '''tokenizer_config_file''': '''tokenizer_config.json''',
}

lowerCamelCase	:							str				={
    '''vocab_file''': {'''facebook/blenderbot-3B''': '''https://huggingface.co/facebook/blenderbot-3B/resolve/main/vocab.json'''},
    '''merges_file''': {'''facebook/blenderbot-3B''': '''https://huggingface.co/facebook/blenderbot-3B/resolve/main/merges.txt'''},
    '''tokenizer_config_file''': {
        '''facebook/blenderbot-3B''': '''https://huggingface.co/facebook/blenderbot-3B/resolve/main/tokenizer_config.json'''
    },
}

lowerCamelCase	:							str				={'''facebook/blenderbot-3B''': 128}





class 			__a  (    A__       ):
 _lowerCAmelCase       :       Union[str, Any]        = VOCAB_FILES_NAMES
 _lowerCAmelCase       :       Dict        = PRETRAINED_VOCAB_FILES_MAP
 _lowerCAmelCase       :       List[Any]        = PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
 _lowerCAmelCase       :       int        = ['''input_ids''', '''attention_mask''']
 _lowerCAmelCase       :       Tuple        = BlenderbotTokenizer







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


      '''simple docstring'''






      super().__init__(
          SCREAMING_SNAKE_CASE							,   SCREAMING_SNAKE_CASE							,   tokenizer_file=SCREAMING_SNAKE_CASE							,   errors=SCREAMING_SNAKE_CASE							,   bos_token=SCREAMING_SNAKE_CASE							,   eos_token=SCREAMING_SNAKE_CASE							,   sep_token=SCREAMING_SNAKE_CASE							,   cls_token=SCREAMING_SNAKE_CASE							,   unk_token=SCREAMING_SNAKE_CASE							,   pad_token=SCREAMING_SNAKE_CASE							,   mask_token=SCREAMING_SNAKE_CASE							,   add_prefix_space=SCREAMING_SNAKE_CASE							,   trim_offsets=SCREAMING_SNAKE_CASE							,   **SCREAMING_SNAKE_CASE							,   )

      UpperCamelCase__			:   List[Any]       				=  json.loads(self.backend_tokenizer.pre_tokenizer.__getstate__()						)
      if pre_tok_state.get("add_prefix_space"							,   SCREAMING_SNAKE_CASE						) != add_prefix_space:
           UpperCamelCase__			:   str       				=  getattr(SCREAMING_SNAKE_CASE							,   pre_tok_state.pop("type"						)						)
           UpperCamelCase__			:   Union[str, Any]       				=  add_prefix_space
           UpperCamelCase__			:   Union[str, Any]       				=  pre_tok_class(**SCREAMING_SNAKE_CASE						)

      UpperCamelCase__			:   Tuple       				=  add_prefix_space

      UpperCamelCase__			:   Optional[int]       				=  "post_processor"
      UpperCamelCase__			:   Union[str, Any]       				=  getattr(self.backend_tokenizer							,   SCREAMING_SNAKE_CASE							,   SCREAMING_SNAKE_CASE						)
      if tokenizer_component_instance:
           UpperCamelCase__			:   Tuple       				=  json.loads(tokenizer_component_instance.__getstate__()						)

           # The lists 'sep' and 'cls' must be cased in tuples for the object `post_processor_class`
           if "sep" in state:
                UpperCamelCase__			:   Tuple       				=  tuple(state["sep"]						)
           if "cls" in state:
                UpperCamelCase__			:   Optional[int]       				=  tuple(state["cls"]						)

           UpperCamelCase__			:   List[Any]       				=  False

           if state.get("add_prefix_space"							,   SCREAMING_SNAKE_CASE						) != add_prefix_space:
                UpperCamelCase__			:   str       				=  add_prefix_space
                UpperCamelCase__			:   Optional[Any]       				=  True

           if state.get("trim_offsets"							,   SCREAMING_SNAKE_CASE						) != trim_offsets:
                UpperCamelCase__			:   Optional[Any]       				=  trim_offsets
                UpperCamelCase__			:   Tuple       				=  True

           if changes_to_apply:
                UpperCamelCase__			:   Optional[int]       				=  getattr(SCREAMING_SNAKE_CASE							,   state.pop("type"						)						)
                UpperCamelCase__			:   Dict       				=  component_class(**SCREAMING_SNAKE_CASE						)
                setattr(self.backend_tokenizer							,   SCREAMING_SNAKE_CASE							,   SCREAMING_SNAKE_CASE						)







 @property
 # Copied from transformers.models.roberta.tokenization_roberta_fast.RobertaTokenizerFast.mask_token with Roberta->Blenderbot, RoBERTa->Blenderbot
 def 					__lowercase					(		self					:   Union[str, Any]						):


      '''simple docstring'''






      if self._mask_token is None:
           if self.verbose:
                logger.error("Using mask_token, but it is not set yet."						)
           return None
      return str(self._mask_token						)







 @mask_token.setter
 def 					__lowercase					(		self					:   Union[str, Any]							,   SCREAMING_SNAKE_CASE					:   Optional[int]						):


      '''simple docstring'''






      UpperCamelCase__			:   Dict       				=  AddedToken(SCREAMING_SNAKE_CASE							,   lstrip=SCREAMING_SNAKE_CASE							,   rstrip=SCREAMING_SNAKE_CASE						) if isinstance(SCREAMING_SNAKE_CASE							,   SCREAMING_SNAKE_CASE						) else value
      UpperCamelCase__			:   str       				=  value







 def 					__lowercase					(		self					:   Any							,   *SCREAMING_SNAKE_CASE					:   List[str]							,   **SCREAMING_SNAKE_CASE					:   Tuple						):


      '''simple docstring'''






      UpperCamelCase__			:   List[Any]       				=  kwargs.get("is_split_into_words"							,   SCREAMING_SNAKE_CASE						)
      assert self.add_prefix_space or not is_split_into_words, (
          F'You need to instantiate {self.__class__.__name__} with add_prefix_space=True '
          "to use it with pretokenized inputs."
      )

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







 def 					__lowercase					(		self					:   Dict							,   *SCREAMING_SNAKE_CASE					:   int							,   **SCREAMING_SNAKE_CASE					:   Dict						):


      '''simple docstring'''






      UpperCamelCase__			:   Dict       				=  kwargs.get("is_split_into_words"							,   SCREAMING_SNAKE_CASE						)

      assert self.add_prefix_space or not is_split_into_words, (
          F'You need to instantiate {self.__class__.__name__} with add_prefix_space=True '
          "to use it with pretokenized inputs."
      )

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







 def 					__lowercase					(		self					:   Union[str, Any]							,   SCREAMING_SNAKE_CASE					:   str							,   SCREAMING_SNAKE_CASE					:   Optional[str] = None						):


      '''simple docstring'''






      UpperCamelCase__			:   Optional[Any]       				=  self._tokenizer.model.save(SCREAMING_SNAKE_CASE							,   name=SCREAMING_SNAKE_CASE						)
      return tuple(SCREAMING_SNAKE_CASE						)







 def 					__lowercase					(		self					:   Optional[int]							,   SCREAMING_SNAKE_CASE					:   List[int]							,   SCREAMING_SNAKE_CASE					:   Optional[List[int]] = None						):


      '''simple docstring'''






      UpperCamelCase__			:   Optional[Any]       				=  [self.sep_token_id]
      UpperCamelCase__			:   int       				=  [self.cls_token_id]

      if token_ids_a is None:
           return len(cls + token_ids_a + sep						) * [0]
      return len(cls + token_ids_a + sep + sep + token_ids_a + sep						) * [0]







 def 					__lowercase					(		self					:   List[Any]							,   SCREAMING_SNAKE_CASE					:   List[int]							,   SCREAMING_SNAKE_CASE					:   Optional[List[int]] = None						):


      '''simple docstring'''






      return token_ids_a + [self.eos_token_id]







 def 					__lowercase					(		self					:   Union[str, Any]							,   SCREAMING_SNAKE_CASE					:   "Conversation"						):


      '''simple docstring'''






      UpperCamelCase__			:   Optional[Any]       				=  []
      for is_user, text in conversation.iter_texts():
           if is_user:
                # We need to space prefix as it's being done within blenderbot
                inputs.append(" " + text						)
           else:
                # Generated responses should contain them already.
                inputs.append(SCREAMING_SNAKE_CASE						)

      UpperCamelCase__			:   List[str]       				=  "  ".join(SCREAMING_SNAKE_CASE						)
      UpperCamelCase__			:   Optional[Any]       				=  self.encode(SCREAMING_SNAKE_CASE						)
      if len(SCREAMING_SNAKE_CASE						) > self.model_max_length:
           UpperCamelCase__			:   Dict       				=  input_ids[-self.model_max_length :]
           logger.warning(F'Trimmed input from conversation as it was longer than {self.model_max_length} tokens.'						)
      return input_ids