
'''simple docstring'''






import argparse
import json
import os
import sys
import tempfile
import unittest
from argparse import Namespace
from dataclasses import dataclass, field
from enum import Enum
from pathlib import Path
from typing import List, Literal, Optional

import yaml

from transformers import HfArgumentParser, TrainingArguments
from transformers.hf_argparser import make_choice_type_function, string_to_bool


# Since Python 3.10, we can use the builtin `|` operator for Union types
# See PEP 604: https://peps.python.org/pep-0604
UpperCAmelCase_       :   Dict   =       sys.version_info >= (3, 10)







def 		A_       (	_lowerCAmelCase   :    List[str]=None				,	_lowerCAmelCase   :    Tuple=None							):



      """simple docstring"""




      return field(default_factory=lambda: default				,	metadata=_lowerCAmelCase							)

@dataclass
class  UpperCAmelCase__						:
    lowerCAmelCase_				    =		42
    lowerCAmelCase_				    =		42
    lowerCAmelCase_				    =		42
    lowerCAmelCase_				    =		42


@dataclass
class  UpperCAmelCase__						:
    lowerCAmelCase_				    =		42
    lowerCAmelCase_				    =		field(default='toto'						,	metadata={'help': 'help message'} )


@dataclass
class  UpperCAmelCase__						:
    lowerCAmelCase_				    =		False
    lowerCAmelCase_				    =		True
    lowerCAmelCase_				    =		None


class  UpperCAmelCase__						(       A ):
    lowerCAmelCase_				    =		'titi'
    lowerCAmelCase_				    =		'toto'


class  UpperCAmelCase__						(       A ):
    lowerCAmelCase_				    =		'titi'
    lowerCAmelCase_				    =		'toto'
    lowerCAmelCase_				    =		42


@dataclass
class  UpperCAmelCase__						:
    lowerCAmelCase_				    =		'toto'



    def   lowerCamelCase_  (	self      :       Optional[Any]     ):
          _lowerCamelCase				:   List[Any]								=   BasicEnum(self.foo     )


@dataclass
class  UpperCAmelCase__						:
    lowerCAmelCase_				    =		'toto'



    def   lowerCamelCase_  (	self      :       str     ):
          _lowerCamelCase				:   Tuple								=   MixedTypeEnum(self.foo     )


@dataclass
class  UpperCAmelCase__						:
    lowerCAmelCase_				    =		None
    lowerCAmelCase_				    =		field(default=A						,	metadata={'help': 'help message'} )
    lowerCAmelCase_				    =		None
    lowerCAmelCase_				    =		list_field(default=[] )
    lowerCAmelCase_				    =		list_field(default=[] )


@dataclass
class  UpperCAmelCase__						:
    lowerCAmelCase_				    =		list_field(default=[] )
    lowerCAmelCase_				    =		list_field(default=[1, 2, 3] )
    lowerCAmelCase_				    =		list_field(default=['Hallo', 'Bonjour', 'Hello'] )
    lowerCAmelCase_				    =		list_field(default=[0.1, 0.2, 0.3] )


@dataclass
class  UpperCAmelCase__						:
    lowerCAmelCase_				    =		field()
    lowerCAmelCase_				    =		field()
    lowerCAmelCase_				    =		field()



    def   lowerCamelCase_  (	self      :       Tuple     ):
          _lowerCamelCase				:   Union[str, Any]								=   BasicEnum(self.required_enum     )


@dataclass
class  UpperCAmelCase__						:
    lowerCAmelCase_				    =		42
    lowerCAmelCase_				    =		field()
    lowerCAmelCase_				    =		None
    lowerCAmelCase_				    =		field(default='toto'						,	metadata={'help': 'help message'} )
    lowerCAmelCase_				    =		list_field(default=['Hallo', 'Bonjour', 'Hello'] )


if is_python_no_less_than_3_10:

 @dataclass
 class  UpperCAmelCase__						:
     lowerCAmelCase_				    =		False
     lowerCAmelCase_				    =		True
     lowerCAmelCase_				    =		None


 @dataclass
 class  UpperCAmelCase__						:
     lowerCAmelCase_				    =		None
     lowerCAmelCase_				    =		field(default=A						,	metadata={'help': 'help message'} )
     lowerCAmelCase_				    =		None
     lowerCAmelCase_				    =		list_field(default=[] )
     lowerCAmelCase_				    =		list_field(default=[] )



class  UpperCAmelCase__						(       unittest.TestCase ):



    def   lowerCamelCase_  (	self      :       int,__A      :       argparse.ArgumentParser,__A      :       argparse.ArgumentParser     ):
          self.assertEqual(len(a._actions     ),len(b._actions     )     )
          for x, y in zip(a._actions,b._actions     ):
                _lowerCamelCase				:   List[str]								=   {k: v for k, v in vars(__A     ).items() if k != "container"}
                _lowerCamelCase				:   List[Any]								=   {k: v for k, v in vars(__A     ).items() if k != "container"}

                # Choices with mixed type have custom function as "type"
                # So we need to compare results directly for equality
                if xx.get("choices",__A     ) and yy.get("choices",__A     ):
                      for expected_choice in yy["choices"] + xx["choices"]:
                            self.assertEqual(xx["type"](__A     ),yy["type"](__A     )     )
                      del xx["type"], yy["type"]

                self.assertEqual(__A,__A     )



    def   lowerCamelCase_  (	self      :       Union[str, Any]     ):
          _lowerCamelCase				:   Optional[int]								=   HfArgumentParser(__A     )

          _lowerCamelCase				:   Union[str, Any]								=   argparse.ArgumentParser()
          expected.add_argument("--foo",type=__A,required=__A     )
          expected.add_argument("--bar",type=__A,required=__A     )
          expected.add_argument("--baz",type=__A,required=__A     )
          expected.add_argument("--flag",type=__A,default=__A,const=__A,nargs="?"     )
          self.argparsersEqual(__A,__A     )

          _lowerCamelCase				:   Any								=   ["--foo", "1", "--baz", "quux", "--bar", "0.5"]
          (_lowerCamelCase		)				:   Tuple								=   parser.parse_args_into_dataclasses(__A,look_for_args_file=__A     )
          self.assertFalse(example.flag     )



    def   lowerCamelCase_  (	self      :       Union[str, Any]     ):
          _lowerCamelCase				:   Optional[int]								=   HfArgumentParser(__A     )

          _lowerCamelCase				:   Optional[int]								=   argparse.ArgumentParser()
          expected.add_argument("--foo",default=4_2,type=__A     )
          expected.add_argument("--baz",default="toto",type=__A,help="help message"     )
          self.argparsersEqual(__A,__A     )



    def   lowerCamelCase_  (	self      :       Tuple     ):
          _lowerCamelCase				:   List[Any]								=   argparse.ArgumentParser()
          expected.add_argument("--foo",type=__A,default=__A,const=__A,nargs="?"     )
          expected.add_argument("--baz",type=__A,default=__A,const=__A,nargs="?"     )
          # A boolean no_* argument always has to come after its "default: True" regular counter-part
          # and its default must be set to False
          expected.add_argument("--no_baz",action="store_false",default=__A,dest="baz"     )
          expected.add_argument("--opt",type=__A,default=__A     )

          _lowerCamelCase				:   Tuple								=   [WithDefaultBoolExample]
          if is_python_no_less_than_3_10:
                dataclass_types.append(__A     )

          for dataclass_type in dataclass_types:
                _lowerCamelCase				:   str								=   HfArgumentParser(__A     )
                self.argparsersEqual(__A,__A     )

                _lowerCamelCase				:   Optional[Any]								=   parser.parse_args([]     )
                self.assertEqual(__A,Namespace(foo=__A,baz=__A,opt=__A     )     )

                _lowerCamelCase				:   Dict								=   parser.parse_args(["--foo", "--no_baz"]     )
                self.assertEqual(__A,Namespace(foo=__A,baz=__A,opt=__A     )     )

                _lowerCamelCase				:   Optional[Any]								=   parser.parse_args(["--foo", "--baz"]     )
                self.assertEqual(__A,Namespace(foo=__A,baz=__A,opt=__A     )     )

                _lowerCamelCase				:   Optional[int]								=   parser.parse_args(["--foo", "True", "--baz", "True", "--opt", "True"]     )
                self.assertEqual(__A,Namespace(foo=__A,baz=__A,opt=__A     )     )

                _lowerCamelCase				:   List[str]								=   parser.parse_args(["--foo", "False", "--baz", "False", "--opt", "False"]     )
                self.assertEqual(__A,Namespace(foo=__A,baz=__A,opt=__A     )     )



    def   lowerCamelCase_  (	self      :       Union[str, Any]     ):
          _lowerCamelCase				:   List[str]								=   HfArgumentParser(__A     )

          _lowerCamelCase				:   Union[str, Any]								=   argparse.ArgumentParser()
          expected.add_argument(
              "--foo",default="toto",choices=["titi", "toto", 4_2],type=make_choice_type_function(["titi", "toto", 4_2]     ),)
          self.argparsersEqual(__A,__A     )

          _lowerCamelCase				:   Optional[Any]								=   parser.parse_args([]     )
          self.assertEqual(args.foo,"toto"     )
          _lowerCamelCase				:   str								=   parser.parse_args_into_dataclasses([]     )[0]
          self.assertEqual(enum_ex.foo,MixedTypeEnum.toto     )

          _lowerCamelCase				:   int								=   parser.parse_args(["--foo", "titi"]     )
          self.assertEqual(args.foo,"titi"     )
          _lowerCamelCase				:   Optional[Any]								=   parser.parse_args_into_dataclasses(["--foo", "titi"]     )[0]
          self.assertEqual(enum_ex.foo,MixedTypeEnum.titi     )

          _lowerCamelCase				:   Optional[int]								=   parser.parse_args(["--foo", "42"]     )
          self.assertEqual(args.foo,4_2     )
          _lowerCamelCase				:   Any								=   parser.parse_args_into_dataclasses(["--foo", "42"]     )[0]
          self.assertEqual(enum_ex.foo,MixedTypeEnum.fourtytwo     )



    def   lowerCamelCase_  (	self      :       Union[str, Any]     ):

          @dataclass
          class  UpperCAmelCase__						:
              lowerCAmelCase_				    =		'toto'


          _lowerCamelCase				:   int								=   HfArgumentParser(__A     )

          _lowerCamelCase				:   str								=   argparse.ArgumentParser()
          expected.add_argument(
              "--foo",default="toto",choices=("titi", "toto", 4_2),type=make_choice_type_function(["titi", "toto", 4_2]     ),)
          self.argparsersEqual(__A,__A     )

          _lowerCamelCase				:   Any								=   parser.parse_args([]     )
          self.assertEqual(args.foo,"toto"     )

          _lowerCamelCase				:   Optional[Any]								=   parser.parse_args(["--foo", "titi"]     )
          self.assertEqual(args.foo,"titi"     )

          _lowerCamelCase				:   int								=   parser.parse_args(["--foo", "42"]     )
          self.assertEqual(args.foo,4_2     )



    def   lowerCamelCase_  (	self      :       int     ):
          _lowerCamelCase				:   Optional[int]								=   HfArgumentParser(__A     )

          _lowerCamelCase				:   Any								=   argparse.ArgumentParser()
          expected.add_argument("--foo_int",nargs="+",default=[],type=__A     )
          expected.add_argument("--bar_int",nargs="+",default=[1, 2, 3],type=__A     )
          expected.add_argument("--foo_str",nargs="+",default=["Hallo", "Bonjour", "Hello"],type=__A     )
          expected.add_argument("--foo_float",nargs="+",default=[0.1, 0.2, 0.3],type=__A     )

          self.argparsersEqual(__A,__A     )

          _lowerCamelCase				:   Union[str, Any]								=   parser.parse_args([]     )
          self.assertEqual(
              __A,Namespace(foo_int=[],bar_int=[1, 2, 3],foo_str=["Hallo", "Bonjour", "Hello"],foo_float=[0.1, 0.2, 0.3]     ),)

          _lowerCamelCase				:   Any								=   parser.parse_args("--foo_int 1 --bar_int 2 3 --foo_str a b c --foo_float 0.1 0.7".split()     )
          self.assertEqual(__A,Namespace(foo_int=[1],bar_int=[2, 3],foo_str=["a", "b", "c"],foo_float=[0.1, 0.7]     )     )



    def   lowerCamelCase_  (	self      :       Tuple     ):
          _lowerCamelCase				:   Optional[Any]								=   argparse.ArgumentParser()
          expected.add_argument("--foo",default=__A,type=__A     )
          expected.add_argument("--bar",default=__A,type=__A,help="help message"     )
          expected.add_argument("--baz",default=__A,type=__A     )
          expected.add_argument("--ces",nargs="+",default=[],type=__A     )
          expected.add_argument("--des",nargs="+",default=[],type=__A     )

          _lowerCamelCase				:   Optional[int]								=   [OptionalExample]
          if is_python_no_less_than_3_10:
                dataclass_types.append(__A     )

          for dataclass_type in dataclass_types:
                _lowerCamelCase				:   Any								=   HfArgumentParser(__A     )

                self.argparsersEqual(__A,__A     )

                _lowerCamelCase				:   Union[str, Any]								=   parser.parse_args([]     )
                self.assertEqual(__A,Namespace(foo=__A,bar=__A,baz=__A,ces=[],des=[]     )     )

                _lowerCamelCase				:   Any								=   parser.parse_args("--foo 12 --bar 3.14 --baz 42 --ces a b c --des 1 2 3".split()     )
                self.assertEqual(__A,Namespace(foo=1_2,bar=3.14,baz="42",ces=["a", "b", "c"],des=[1, 2, 3]     )     )



    def   lowerCamelCase_  (	self      :       str     ):
          _lowerCamelCase				:   Optional[Any]								=   HfArgumentParser(__A     )

          _lowerCamelCase				:   str								=   argparse.ArgumentParser()
          expected.add_argument("--required_list",nargs="+",type=__A,required=__A     )
          expected.add_argument("--required_str",type=__A,required=__A     )
          expected.add_argument(
              "--required_enum",type=make_choice_type_function(["titi", "toto"]     ),choices=["titi", "toto"],required=__A,)
          self.argparsersEqual(__A,__A     )



    def   lowerCamelCase_  (	self      :       Tuple     ):
          _lowerCamelCase				:   Optional[int]								=   HfArgumentParser(__A     )

          _lowerCamelCase				:   int								=   argparse.ArgumentParser()
          expected.add_argument("--foo",type=__A,required=__A     )
          expected.add_argument(
              "--required_enum",type=make_choice_type_function(["titi", "toto"]     ),choices=["titi", "toto"],required=__A,)
          expected.add_argument("--opt",type=__A,default=__A     )
          expected.add_argument("--baz",default="toto",type=__A,help="help message"     )
          expected.add_argument("--foo_str",nargs="+",default=["Hallo", "Bonjour", "Hello"],type=__A     )
          self.argparsersEqual(__A,__A     )



    def   lowerCamelCase_  (	self      :       List[str]     ):
          _lowerCamelCase				:   Tuple								=   HfArgumentParser(__A     )

          _lowerCamelCase				:   Optional[Any]								=   {
              "foo": 1_2,
              "bar": 3.14,
              "baz": "42",
              "flag": True,
          }

          _lowerCamelCase				:   Tuple								=   parser.parse_dict(__A     )[0]
          _lowerCamelCase				:   str								=   BasicExample(**__A     )
          self.assertEqual(__A,__A     )



    def   lowerCamelCase_  (	self      :       List[str]     ):
          _lowerCamelCase				:   Tuple								=   HfArgumentParser(__A     )

          _lowerCamelCase				:   str								=   {
              "foo": 1_2,
              "bar": 3.14,
              "baz": "42",
              "flag": True,
              "extra": 4_2,
          }

          self.assertRaises(__A,parser.parse_dict,__A,allow_extra_keys=__A     )



    def   lowerCamelCase_  (	self      :       Union[str, Any]     ):
          _lowerCamelCase				:   Optional[int]								=   HfArgumentParser(__A     )

          _lowerCamelCase				:   List[str]								=   {
              "foo": 1_2,
              "bar": 3.14,
              "baz": "42",
              "flag": True,
          }
          with tempfile.TemporaryDirectory() as tmp_dir:
                _lowerCamelCase				:   Dict								=   os.path.join(__A,"temp_json"     )
                os.mkdir(__A     )
                with open(temp_local_path + ".json","w+"     ) as f:
                      json.dump(__A,__A     )
                _lowerCamelCase				:   Tuple								=   parser.parse_yaml_file(Path(temp_local_path + ".json"     )     )[0]

          _lowerCamelCase				:   List[Any]								=   BasicExample(**__A     )
          self.assertEqual(__A,__A     )



    def   lowerCamelCase_  (	self      :       List[str]     ):
          _lowerCamelCase				:   Union[str, Any]								=   HfArgumentParser(__A     )

          _lowerCamelCase				:   List[str]								=   {
              "foo": 1_2,
              "bar": 3.14,
              "baz": "42",
              "flag": True,
          }
          with tempfile.TemporaryDirectory() as tmp_dir:
                _lowerCamelCase				:   Tuple								=   os.path.join(__A,"temp_yaml"     )
                os.mkdir(__A     )
                with open(temp_local_path + ".yaml","w+"     ) as f:
                      yaml.dump(__A,__A     )
                _lowerCamelCase				:   List[str]								=   parser.parse_yaml_file(Path(temp_local_path + ".yaml"     )     )[0]
          _lowerCamelCase				:   Optional[int]								=   BasicExample(**__A     )
          self.assertEqual(__A,__A     )



    def   lowerCamelCase_  (	self      :       List[Any]     ):
          _lowerCamelCase				:   List[str]								=   HfArgumentParser(__A     )
          self.assertIsNotNone(__A     )

'''simple docstring'''






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

UpperCAmelCase_       :   Any   =       logging.get_logger(__name__)


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

UpperCAmelCase_       :   List[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'
    },
}

UpperCAmelCase_       :   List[Any]   =       {'facebook/blenderbot-3B': 128}

class  UpperCAmelCase__						(       A ):
    lowerCAmelCase_				    =		VOCAB_FILES_NAMES
    lowerCAmelCase_				    =		PRETRAINED_VOCAB_FILES_MAP
    lowerCAmelCase_				    =		PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
    lowerCAmelCase_				    =		['input_ids', 'attention_mask']
    lowerCAmelCase_				    =		BlenderbotTokenizer



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

          _lowerCamelCase				:   Tuple								=   json.loads(self.backend_tokenizer.pre_tokenizer.__getstate__()     )
          if pre_tok_state.get("add_prefix_space",__A     ) != add_prefix_space:
                _lowerCamelCase				:   Optional[Any]								=   getattr(__A,pre_tok_state.pop("type"     )     )
                _lowerCamelCase				:   List[Any]								=   add_prefix_space
                _lowerCamelCase				:   Optional[Any]								=   pre_tok_class(**__A     )

          _lowerCamelCase				:   Any								=   add_prefix_space

          _lowerCamelCase				:   Any								=   "post_processor"
          _lowerCamelCase				:   Optional[Any]								=   getattr(self.backend_tokenizer,__A,__A     )
          if tokenizer_component_instance:
                _lowerCamelCase				:   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:
                      _lowerCamelCase				:   List[Any]								=   tuple(state["sep"]     )
                if "cls" in state:
                      _lowerCamelCase				:   Optional[int]								=   tuple(state["cls"]     )

                _lowerCamelCase				:   List[str]								=   False

                if state.get("add_prefix_space",__A     ) != add_prefix_space:
                      _lowerCamelCase				:   List[str]								=   add_prefix_space
                      _lowerCamelCase				:   int								=   True

                if state.get("trim_offsets",__A     ) != trim_offsets:
                      _lowerCamelCase				:   List[str]								=   trim_offsets
                      _lowerCamelCase				:   Dict								=   True

                if changes_to_apply:
                      _lowerCamelCase				:   Tuple								=   getattr(__A,state.pop("type"     )     )
                      _lowerCamelCase				:   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   lowerCamelCase_  (	self      :       Optional[int]     ):
          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   lowerCamelCase_  (	self      :       Optional[Any],__A      :       List[Any]     ):
          _lowerCamelCase				:   Any								=   AddedToken(__A,lstrip=__A,rstrip=__A     ) if isinstance(__A,__A     ) else value
          _lowerCamelCase				:   List[str]								=   value



    def   lowerCamelCase_  (	self      :       Optional[int],*__A      :       Optional[Any],**__A      :       List[str]     ):
          _lowerCamelCase				:   int								=   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   lowerCamelCase_  (	self      :       str,*__A      :       Union[str, Any],**__A      :       List[Any]     ):
          _lowerCamelCase				:   Optional[int]								=   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   lowerCamelCase_  (	self      :       str,__A      :       str,__A      :       Optional[str] = None     ):
          _lowerCamelCase				:   Optional[int]								=   self._tokenizer.model.save(__A,name=__A     )
          return tuple(__A     )



    def   lowerCamelCase_  (	self      :       Optional[int],__A      :       List[int],__A      :       Optional[List[int]] = None     ):
          _lowerCamelCase				:   int								=   [self.sep_token_id]
          _lowerCamelCase				:   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   lowerCamelCase_  (	self      :       Dict,__A      :       List[int],__A      :       Optional[List[int]] = None     ):
          return token_ids_a + [self.eos_token_id]



    def   lowerCamelCase_  (	self      :       List[str],__A      :       "Conversation"     ):
          _lowerCamelCase				:   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     )

          _lowerCamelCase				:   List[Any]								=   "  ".join(__A     )
          _lowerCamelCase				:   List[str]								=   self.encode(__A     )
          if len(__A     ) > self.model_max_length:
                _lowerCamelCase				:   Tuple								=   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