






from collections import deque
from math import floor
from random import random
from time import time
class 							A_    :






 '''simple docstring'''




 def __init__(	self) ->		int:

     """simple docstring"""



     _UpperCAmelCase				:      Any			  =				{}


 def  snake_case__				(	self							,  _A							,  _A							,  _A=1) ->		int:

     """simple docstring"""



     if self.graph.get(A_):
         if self.graph[u].count([w, v]) == 0:
             self.graph[u].append([w, v])
     else:
         _UpperCAmelCase				:      int			  =				[[w, v]]
     if not self.graph.get(A_):
         _UpperCAmelCase				:      Any			  =				[]


 def  snake_case__				(	self) ->		Optional[int]:

     """simple docstring"""



     return list(self.graph)


 def  snake_case__				(	self							,  _A							,  _A) ->		Optional[Any]:

     """simple docstring"""



     if self.graph.get(A_):
         for _ in self.graph[u]:
             if _[1] == v:
                 self.graph[u].remove(A_)


 def  snake_case__				(	self							,  _A=-2							,  _A=-1) ->		str:

     """simple docstring"""



     if s == d:
         return []
     _UpperCAmelCase				:      Tuple			  =				[]
     _UpperCAmelCase				:      Optional[Any]			  =				[]
     if s == -2:
         _UpperCAmelCase				:      Tuple			  =				list(self.graph)[0]
     stack.append(A_)
     visited.append(A_)
     _UpperCAmelCase				:      Union[str, Any]			  =				s

     while True:
         # check if there is any non isolated nodes
         if len(self.graph[s]) != 0:
             _UpperCAmelCase				:      Union[str, Any]			  =				s
             for node in self.graph[s]:
                 if visited.count(node[1]) < 1:
                     if node[1] == d:
                         visited.append(A_)
                         return visited
                     else:
                         stack.append(node[1])
                         visited.append(node[1])
                         _UpperCAmelCase				:      List[str]			  =				node[1]
                         break

            # check if all the children are visited
         if s == ss:
             stack.pop()
             if len(A_) != 0:
                 _UpperCAmelCase				:      Optional[Any]			  =				stack[len(A_) - 1]
         else:
             _UpperCAmelCase				:      Any			  =				ss

         # check if se have reached the starting point
         if len(A_) == 0:
             return visited


 def  snake_case__				(	self							,  _A=-1) ->		int:

     """simple docstring"""



     if c == -1:
         _UpperCAmelCase				:      int			  =				floor(random() * 10000) + 10
     for i in range(A_):
         # every vertex has max 100 edges
         for _ in range(floor(random() * 102) + 1):
             _UpperCAmelCase				:      Dict			  =				floor(random() * c) + 1
             if n != i:
                 self.add_pair(A_							,  A_							,  1)


 def  snake_case__				(	self							,  _A=-2) ->		Optional[Any]:

     """simple docstring"""



     _UpperCAmelCase				:      Tuple			  =				deque()
     _UpperCAmelCase				:      Dict			  =				[]
     if s == -2:
         _UpperCAmelCase				:      List[str]			  =				list(self.graph)[0]
     d.append(A_)
     visited.append(A_)
     while d:
         _UpperCAmelCase				:      Dict			  =				d.popleft()
         if len(self.graph[s]) != 0:
             for node in self.graph[s]:
                 if visited.count(node[1]) < 1:
                     d.append(node[1])
                     visited.append(node[1])
     return visited


 def  snake_case__				(	self							,  _A) ->		Any:

     """simple docstring"""



     _UpperCAmelCase				:      str			  =				0
     for x in self.graph:
         for y in self.graph[x]:
             if y[1] == u:
                 count += 1
     return count


 def  snake_case__				(	self							,  _A) ->		str:

     """simple docstring"""



     return len(self.graph[u])


 def  snake_case__				(	self							,  _A=-2) ->		Any:

     """simple docstring"""



     _UpperCAmelCase				:      str			  =				[]
     _UpperCAmelCase				:      Any			  =				[]
     if s == -2:
         _UpperCAmelCase				:      str			  =				list(self.graph)[0]
     stack.append(A_)
     visited.append(A_)
     _UpperCAmelCase				:      Union[str, Any]			  =				s
     _UpperCAmelCase				:      Tuple			  =				[]

     while True:
         # check if there is any non isolated nodes
         if len(self.graph[s]) != 0:
             _UpperCAmelCase				:      int			  =				s
             for node in self.graph[s]:
                 if visited.count(node[1]) < 1:
                     stack.append(node[1])
                     visited.append(node[1])
                     _UpperCAmelCase				:      List[Any]			  =				node[1]
                     break

            # check if all the children are visited
         if s == ss:
             sorted_nodes.append(stack.pop())
             if len(A_) != 0:
                 _UpperCAmelCase				:      List[str]			  =				stack[len(A_) - 1]
         else:
             _UpperCAmelCase				:      str			  =				ss

         # check if se have reached the starting point
         if len(A_) == 0:
             return sorted_nodes


 def  snake_case__				(	self) ->		Tuple:

     """simple docstring"""



     _UpperCAmelCase				:      List[str]			  =				[]
     _UpperCAmelCase				:      Union[str, Any]			  =				[]
     _UpperCAmelCase				:      Optional[Any]			  =				list(self.graph)[0]
     stack.append(A_)
     visited.append(A_)
     _UpperCAmelCase				:      Any			  =				-2
     _UpperCAmelCase				:      Dict			  =				[]
     _UpperCAmelCase				:      List[Any]			  =				s
     _UpperCAmelCase				:      Optional[Any]			  =				False
     _UpperCAmelCase				:      Any			  =				set()

     while True:
         # check if there is any non isolated nodes
         if len(self.graph[s]) != 0:
             _UpperCAmelCase				:      str			  =				s
             for node in self.graph[s]:
                 if (
                     visited.count(node[1]) > 0
                     and node[1] != parent
                     and indirect_parents.count(node[1]) > 0
                     and not on_the_way_back
                 ):
                     _UpperCAmelCase				:      List[Any]			  =				len(A_) - 1
                     while len_stack >= 0:
                         if stack[len_stack] == node[1]:
                             anticipating_nodes.add(node[1])
                             break
                         else:
                             anticipating_nodes.add(stack[len_stack])
                             len_stack -= 1
                 if visited.count(node[1]) < 1:
                     stack.append(node[1])
                     visited.append(node[1])
                     _UpperCAmelCase				:      Dict			  =				node[1]
                     break

            # check if all the children are visited
         if s == ss:
             stack.pop()
             _UpperCAmelCase				:      str			  =				True
             if len(A_) != 0:
                 _UpperCAmelCase				:      Optional[Any]			  =				stack[len(A_) - 1]
         else:
             _UpperCAmelCase				:      Union[str, Any]			  =				False
             indirect_parents.append(A_)
             _UpperCAmelCase				:      Optional[int]			  =				s
             _UpperCAmelCase				:      Optional[Any]			  =				ss

         # check if se have reached the starting point
         if len(A_) == 0:
             return list(A_)


 def  snake_case__				(	self) ->		Optional[int]:

     """simple docstring"""



     _UpperCAmelCase				:      Tuple			  =				[]
     _UpperCAmelCase				:      Optional[Any]			  =				[]
     _UpperCAmelCase				:      Tuple			  =				list(self.graph)[0]
     stack.append(A_)
     visited.append(A_)
     _UpperCAmelCase				:      List[str]			  =				-2
     _UpperCAmelCase				:      Optional[Any]			  =				[]
     _UpperCAmelCase				:      Dict			  =				s
     _UpperCAmelCase				:      Tuple			  =				False
     _UpperCAmelCase				:      str			  =				set()

     while True:
         # check if there is any non isolated nodes
         if len(self.graph[s]) != 0:
             _UpperCAmelCase				:      str			  =				s
             for node in self.graph[s]:
                 if (
                     visited.count(node[1]) > 0
                     and node[1] != parent
                     and indirect_parents.count(node[1]) > 0
                     and not on_the_way_back
                 ):
                     _UpperCAmelCase				:      Union[str, Any]			  =				len(A_) - 1
                     while len_stack_minus_one >= 0:
                         if stack[len_stack_minus_one] == node[1]:
                             anticipating_nodes.add(node[1])
                             break
                         else:
                             return True
                 if visited.count(node[1]) < 1:
                     stack.append(node[1])
                     visited.append(node[1])
                     _UpperCAmelCase				:      Any			  =				node[1]
                     break

            # check if all the children are visited
         if s == ss:
             stack.pop()
             _UpperCAmelCase				:      List[Any]			  =				True
             if len(A_) != 0:
                 _UpperCAmelCase				:      Optional[Any]			  =				stack[len(A_) - 1]
         else:
             _UpperCAmelCase				:      Dict			  =				False
             indirect_parents.append(A_)
             _UpperCAmelCase				:      Dict			  =				s
             _UpperCAmelCase				:      List[Any]			  =				ss

         # check if se have reached the starting point
         if len(A_) == 0:
             return False


 def  snake_case__				(	self							,  _A=-2							,  _A=-1) ->		str:

     """simple docstring"""



     _UpperCAmelCase				:      str			  =				time()
     self.dfs(A_							,  A_)
     _UpperCAmelCase				:      Tuple			  =				time()
     return end - begin


 def  snake_case__				(	self							,  _A=-2) ->		Dict:

     """simple docstring"""



     _UpperCAmelCase				:      Dict			  =				time()
     self.bfs(A_)
     _UpperCAmelCase				:      int			  =				time()
     return end - begin



class 							A_    :






 '''simple docstring'''




 def __init__(	self) ->		Tuple:

     """simple docstring"""



     _UpperCAmelCase				:      str			  =				{}


 def  snake_case__				(	self							,  _A							,  _A							,  _A=1) ->		Dict:

     """simple docstring"""



     if self.graph.get(A_):
         # if there already is a edge
         if self.graph[u].count([w, v]) == 0:
             self.graph[u].append([w, v])
     else:
         # if u does not exist
         _UpperCAmelCase				:      Union[str, Any]			  =				[[w, v]]
     # add the other way
     if self.graph.get(A_):
         # if there already is a edge
         if self.graph[v].count([w, u]) == 0:
             self.graph[v].append([w, u])
     else:
         # if u does not exist
         _UpperCAmelCase				:      Any			  =				[[w, u]]


 def  snake_case__				(	self							,  _A							,  _A) ->		List[Any]:

     """simple docstring"""



     if self.graph.get(A_):
         for _ in self.graph[u]:
             if _[1] == v:
                 self.graph[u].remove(A_)
        # the other way round
     if self.graph.get(A_):
         for _ in self.graph[v]:
             if _[1] == u:
                 self.graph[v].remove(A_)


 def  snake_case__				(	self							,  _A=-2							,  _A=-1) ->		int:

     """simple docstring"""



     if s == d:
         return []
     _UpperCAmelCase				:      Optional[int]			  =				[]
     _UpperCAmelCase				:      Tuple			  =				[]
     if s == -2:
         _UpperCAmelCase				:      Dict			  =				list(self.graph)[0]
     stack.append(A_)
     visited.append(A_)
     _UpperCAmelCase				:      Dict			  =				s

     while True:
         # check if there is any non isolated nodes
         if len(self.graph[s]) != 0:
             _UpperCAmelCase				:      List[str]			  =				s
             for node in self.graph[s]:
                 if visited.count(node[1]) < 1:
                     if node[1] == d:
                         visited.append(A_)
                         return visited
                     else:
                         stack.append(node[1])
                         visited.append(node[1])
                         _UpperCAmelCase				:      Dict			  =				node[1]
                         break

            # check if all the children are visited
         if s == ss:
             stack.pop()
             if len(A_) != 0:
                 _UpperCAmelCase				:      Dict			  =				stack[len(A_) - 1]
         else:
             _UpperCAmelCase				:      List[Any]			  =				ss

         # check if se have reached the starting point
         if len(A_) == 0:
             return visited


 def  snake_case__				(	self							,  _A=-1) ->		List[Any]:

     """simple docstring"""



     if c == -1:
         _UpperCAmelCase				:      Union[str, Any]			  =				floor(random() * 10000) + 10
     for i in range(A_):
         # every vertex has max 100 edges
         for _ in range(floor(random() * 102) + 1):
             _UpperCAmelCase				:      List[str]			  =				floor(random() * c) + 1
             if n != i:
                 self.add_pair(A_							,  A_							,  1)


 def  snake_case__				(	self							,  _A=-2) ->		List[Any]:

     """simple docstring"""



     _UpperCAmelCase				:      Optional[Any]			  =				deque()
     _UpperCAmelCase				:      List[Any]			  =				[]
     if s == -2:
         _UpperCAmelCase				:      int			  =				list(self.graph)[0]
     d.append(A_)
     visited.append(A_)
     while d:
         _UpperCAmelCase				:      Union[str, Any]			  =				d.popleft()
         if len(self.graph[s]) != 0:
             for node in self.graph[s]:
                 if visited.count(node[1]) < 1:
                     d.append(node[1])
                     visited.append(node[1])
     return visited


 def  snake_case__				(	self							,  _A) ->		List[Any]:

     """simple docstring"""



     return len(self.graph[u])


 def  snake_case__				(	self) ->		List[Any]:

     """simple docstring"""



     _UpperCAmelCase				:      Tuple			  =				[]
     _UpperCAmelCase				:      Union[str, Any]			  =				[]
     _UpperCAmelCase				:      Tuple			  =				list(self.graph)[0]
     stack.append(A_)
     visited.append(A_)
     _UpperCAmelCase				:      Tuple			  =				-2
     _UpperCAmelCase				:      Optional[Any]			  =				[]
     _UpperCAmelCase				:      Optional[Any]			  =				s
     _UpperCAmelCase				:      Tuple			  =				False
     _UpperCAmelCase				:      List[str]			  =				set()

     while True:
         # check if there is any non isolated nodes
         if len(self.graph[s]) != 0:
             _UpperCAmelCase				:      Tuple			  =				s
             for node in self.graph[s]:
                 if (
                     visited.count(node[1]) > 0
                     and node[1] != parent
                     and indirect_parents.count(node[1]) > 0
                     and not on_the_way_back
                 ):
                     _UpperCAmelCase				:      Optional[Any]			  =				len(A_) - 1
                     while len_stack >= 0:
                         if stack[len_stack] == node[1]:
                             anticipating_nodes.add(node[1])
                             break
                         else:
                             anticipating_nodes.add(stack[len_stack])
                             len_stack -= 1
                 if visited.count(node[1]) < 1:
                     stack.append(node[1])
                     visited.append(node[1])
                     _UpperCAmelCase				:      Dict			  =				node[1]
                     break

            # check if all the children are visited
         if s == ss:
             stack.pop()
             _UpperCAmelCase				:      Tuple			  =				True
             if len(A_) != 0:
                 _UpperCAmelCase				:      Optional[Any]			  =				stack[len(A_) - 1]
         else:
             _UpperCAmelCase				:      Union[str, Any]			  =				False
             indirect_parents.append(A_)
             _UpperCAmelCase				:      Union[str, Any]			  =				s
             _UpperCAmelCase				:      str			  =				ss

         # check if se have reached the starting point
         if len(A_) == 0:
             return list(A_)


 def  snake_case__				(	self) ->		Any:

     """simple docstring"""



     _UpperCAmelCase				:      List[Any]			  =				[]
     _UpperCAmelCase				:      Union[str, Any]			  =				[]
     _UpperCAmelCase				:      Union[str, Any]			  =				list(self.graph)[0]
     stack.append(A_)
     visited.append(A_)
     _UpperCAmelCase				:      str			  =				-2
     _UpperCAmelCase				:      List[str]			  =				[]
     _UpperCAmelCase				:      Optional[int]			  =				s
     _UpperCAmelCase				:      int			  =				False
     _UpperCAmelCase				:      Tuple			  =				set()

     while True:
         # check if there is any non isolated nodes
         if len(self.graph[s]) != 0:
             _UpperCAmelCase				:      Dict			  =				s
             for node in self.graph[s]:
                 if (
                     visited.count(node[1]) > 0
                     and node[1] != parent
                     and indirect_parents.count(node[1]) > 0
                     and not on_the_way_back
                 ):
                     _UpperCAmelCase				:      int			  =				len(A_) - 1
                     while len_stack_minus_one >= 0:
                         if stack[len_stack_minus_one] == node[1]:
                             anticipating_nodes.add(node[1])
                             break
                         else:
                             return True
                 if visited.count(node[1]) < 1:
                     stack.append(node[1])
                     visited.append(node[1])
                     _UpperCAmelCase				:      str			  =				node[1]
                     break

            # check if all the children are visited
         if s == ss:
             stack.pop()
             _UpperCAmelCase				:      List[str]			  =				True
             if len(A_) != 0:
                 _UpperCAmelCase				:      int			  =				stack[len(A_) - 1]
         else:
             _UpperCAmelCase				:      str			  =				False
             indirect_parents.append(A_)
             _UpperCAmelCase				:      List[str]			  =				s
             _UpperCAmelCase				:      Union[str, Any]			  =				ss

         # check if se have reached the starting point
         if len(A_) == 0:
             return False


 def  snake_case__				(	self) ->		Any:

     """simple docstring"""



     return list(self.graph)


 def  snake_case__				(	self							,  _A=-2							,  _A=-1) ->		Any:

     """simple docstring"""



     _UpperCAmelCase				:      List[Any]			  =				time()
     self.dfs(A_							,  A_)
     _UpperCAmelCase				:      List[Any]			  =				time()
     return end - begin


 def  snake_case__				(	self							,  _A=-2) ->		Union[str, Any]:

     """simple docstring"""



     _UpperCAmelCase				:      int			  =				time()
     self.bfs(A_)
     _UpperCAmelCase				:      Any			  =				time()
     return end - begin













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

SCREAMING_SNAKE_CASE 							=						logging.get_logger(__name__)


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

SCREAMING_SNAKE_CASE 							=						{
    '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'
    },
}

SCREAMING_SNAKE_CASE 							=						{'facebook/blenderbot-3B': 128}
class 							A_    (						__lowercase			):






 '''simple docstring'''




 _SCREAMING_SNAKE_CASE							:			Tuple =					VOCAB_FILES_NAMES
 _SCREAMING_SNAKE_CASE							:			Optional[Any] =					PRETRAINED_VOCAB_FILES_MAP
 _SCREAMING_SNAKE_CASE							:			Optional[int] =					PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
 _SCREAMING_SNAKE_CASE							:			List[Any] =					["input_ids", "attention_mask"]
 _SCREAMING_SNAKE_CASE							:			Dict =					BlenderbotTokenizer


 def __init__(	self							,  _A=None							,  _A=None							,  _A=None							,  _A="replace"							,  _A="<s>"							,  _A="</s>"							,  _A="</s>"							,  _A="<s>"							,  _A="<unk>"							,  _A="<pad>"							,  _A="<mask>"							,  _A=False							,  _A=True							,  **_A							,  ) ->		str:

     """simple docstring"""



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

     _UpperCAmelCase				:      Any			  =				json.loads(self.backend_tokenizer.pre_tokenizer.__getstate__())
     if pre_tok_state.get('''add_prefix_space'''							,  _A) != add_prefix_space:
         _UpperCAmelCase				:      Optional[int]			  =				getattr(_A							,  pre_tok_state.pop('''type'''))
         _UpperCAmelCase				:      Optional[int]			  =				add_prefix_space
         _UpperCAmelCase				:      Dict			  =				pre_tok_class(**_A)

     _UpperCAmelCase				:      Dict			  =				add_prefix_space

     _UpperCAmelCase				:      Tuple			  =				'''post_processor'''
     _UpperCAmelCase				:      str			  =				getattr(self.backend_tokenizer							,  _A							,  _A)
     if tokenizer_component_instance:
         _UpperCAmelCase				:      str			  =				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				:      str			  =				tuple(state['''sep'''])
         if "cls" in state:
             _UpperCAmelCase				:      List[str]			  =				tuple(state['''cls'''])

         _UpperCAmelCase				:      List[str]			  =				False

         if state.get('''add_prefix_space'''							,  _A) != add_prefix_space:
             _UpperCAmelCase				:      int			  =				add_prefix_space
             _UpperCAmelCase				:      Optional[int]			  =				True

         if state.get('''trim_offsets'''							,  _A) != trim_offsets:
             _UpperCAmelCase				:      List[Any]			  =				trim_offsets
             _UpperCAmelCase				:      Any			  =				True

         if changes_to_apply:
             _UpperCAmelCase				:      Optional[Any]			  =				getattr(_A							,  state.pop('''type'''))
             _UpperCAmelCase				:      Union[str, Any]			  =				component_class(**_A)
             setattr(self.backend_tokenizer							,  _A							,  _A)


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

     """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  snake_case__				(	self							,  _A) ->		str:

     """simple docstring"""



     _UpperCAmelCase				:      Optional[int]			  =				AddedToken(_A							,  lstrip=_A							,  rstrip=_A) if isinstance(_A							,  _A) else value
     _UpperCAmelCase				:      Union[str, Any]			  =				value


 def  snake_case__				(	self							,  *_A							,  **_A) ->		BatchEncoding:

     """simple docstring"""



     _UpperCAmelCase				:      List[Any]			  =				kwargs.get('''is_split_into_words'''							,  _A)
     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(*_A							,  **_A)


 def  snake_case__				(	self							,  *_A							,  **_A) ->		BatchEncoding:

     """simple docstring"""



     _UpperCAmelCase				:      Tuple			  =				kwargs.get('''is_split_into_words'''							,  _A)

     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(*_A							,  **_A)


 def  snake_case__				(	self							,  _A							,  _A = None) ->		Tuple[str]:

     """simple docstring"""



     _UpperCAmelCase				:      str			  =				self._tokenizer.model.save(_A							,  name=_A)
     return tuple(_A)


 def  snake_case__				(	self							,  _A							,  _A = None) ->		List[int]:

     """simple docstring"""



     _UpperCAmelCase				:      Optional[int]			  =				[self.sep_token_id]
     _UpperCAmelCase				:      str			  =				[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  snake_case__				(	self							,  _A							,  _A = None) ->		Optional[Any]:

     """simple docstring"""



     return token_ids_a + [self.eos_token_id]


 def  snake_case__				(	self							,  _A) ->		List[int]:

     """simple docstring"""



     _UpperCAmelCase				:      Dict			  =				[]
     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(_A)

     _UpperCAmelCase				:      int			  =				'''  '''.join(_A)
     _UpperCAmelCase				:      Optional[int]			  =				self.encode(_A)
     if len(_A) > self.model_max_length:
         _UpperCAmelCase				:      str			  =				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




