




import json
import os
import unittest

from transformers.models.roc_bert.tokenization_roc_bert import (
    VOCAB_FILES_NAMES,
    RoCBertBasicTokenizer,
    RoCBertTokenizer,
    RoCBertWordpieceTokenizer,
    _is_control,
    _is_punctuation,
    _is_whitespace,
)
from transformers.testing_utils import require_tokenizers, slow

from ...test_tokenization_common import TokenizerTesterMixin, filter_non_english




@require_tokenizers
class 						__lowercase		(__snake_case     ,		unittest.TestCase							):




      """simple docstring"""





      _snake_case							     =						RoCBertTokenizer
      _snake_case							     =						None
      _snake_case							     =						False
      _snake_case							     =						True
      _snake_case							     =						filter_non_english

      def 	UpperCAmelCase      (      self	)		->				Any:
         super().setUp()

         snake_case      :				Optional[Any]				=       ["[UNK]", "[CLS]", "[SEP]", "[PAD]", "[MASK]", "你", "好", "是", "谁", "a", "b", "c", "d"]
         snake_case      :				List[Any]				=       {}
         snake_case      :				Dict				=       {}
         for i, value in enumerate(UpperCamelCase__	):
            snake_case      :				List[Any]				=       i
            snake_case      :				Union[str, Any]				=       i
         snake_case      :				List[str]				=       os.path.join(self.tmpdirname				,      VOCAB_FILES_NAMES["""vocab_file"""]	)
         snake_case      :				int				=       os.path.join(self.tmpdirname				,      VOCAB_FILES_NAMES["""word_shape_file"""]	)
         snake_case      :				int				=       os.path.join(self.tmpdirname				,      VOCAB_FILES_NAMES["""word_pronunciation_file"""]	)
         with open(self.vocab_file				,      """w"""				,      encoding="""utf-8"""	) as vocab_writer:
            vocab_writer.write("""""".join([x + """\n""" for x in vocab_tokens]	)	)
         with open(self.word_shape_file				,      """w"""				,      encoding="""utf-8"""	) as word_shape_writer:
            json.dump(UpperCamelCase__				,      UpperCamelCase__				,      ensure_ascii=UpperCamelCase__	)
         with open(self.word_pronunciation_file				,      """w"""				,      encoding="""utf-8"""	) as word_pronunciation_writer:
            json.dump(UpperCamelCase__				,      UpperCamelCase__				,      ensure_ascii=UpperCamelCase__	)

      def 	UpperCAmelCase      (      self	)		->				Tuple:
         snake_case      :				Tuple				=       self.tokenizer_class(self.vocab_file				,      self.word_shape_file				,      self.word_pronunciation_file	)

         snake_case      :				Union[str, Any]				=       tokenizer.tokenize("""你好[SEP]你是谁"""	)
         self.assertListEqual(UpperCamelCase__				,      ["""你""", """好""", """[SEP]""", """你""", """是""", """谁"""]	)
         self.assertListEqual(tokenizer.convert_tokens_to_ids(UpperCamelCase__	)				,      [5, 6, 2, 5, 7, 8]	)
         self.assertListEqual(tokenizer.convert_tokens_to_shape_ids(UpperCamelCase__	)				,      [5, 6, 2, 5, 7, 8]	)
         self.assertListEqual(tokenizer.convert_tokens_to_pronunciation_ids(UpperCamelCase__	)				,      [5, 6, 2, 5, 7, 8]	)

      def 	UpperCAmelCase      (      self	)		->				List[str]:
         snake_case      :				int				=       RoCBertBasicTokenizer()

         self.assertListEqual(tokenizer.tokenize("""ah\u535A\u63A8zz"""	)				,      ["""ah""", """\u535A""", """\u63A8""", """zz"""]	)

      def 	UpperCAmelCase      (      self	)		->				Dict:
         snake_case      :				int				=       RoCBertBasicTokenizer(do_lower_case=UpperCamelCase__	)

         self.assertListEqual(
             tokenizer.tokenize(""" \tHeLLo!how  \n Are yoU?  """	)				,      ["""hello""", """!""", """how""", """are""", """you""", """?"""]	)
         self.assertListEqual(tokenizer.tokenize("""H\u00E9llo"""	)				,      ["""hello"""]	)

      def 	UpperCAmelCase      (      self	)		->				List[Any]:
         snake_case      :				Union[str, Any]				=       RoCBertBasicTokenizer(do_lower_case=UpperCamelCase__				,      strip_accents=UpperCamelCase__	)

         self.assertListEqual(
             tokenizer.tokenize(""" \tHäLLo!how  \n Are yoU?  """	)				,      ["""hällo""", """!""", """how""", """are""", """you""", """?"""]	)
         self.assertListEqual(tokenizer.tokenize("""H\u00E9llo"""	)				,      ["""h\u00E9llo"""]	)

      def 	UpperCAmelCase      (      self	)		->				Any:
         snake_case      :				Tuple				=       RoCBertBasicTokenizer(do_lower_case=UpperCamelCase__				,      strip_accents=UpperCamelCase__	)

         self.assertListEqual(
             tokenizer.tokenize(""" \tHäLLo!how  \n Are yoU?  """	)				,      ["""hallo""", """!""", """how""", """are""", """you""", """?"""]	)
         self.assertListEqual(tokenizer.tokenize("""H\u00E9llo"""	)				,      ["""hello"""]	)

      def 	UpperCAmelCase      (      self	)		->				List[str]:
         snake_case      :				List[str]				=       RoCBertBasicTokenizer(do_lower_case=UpperCamelCase__	)

         self.assertListEqual(
             tokenizer.tokenize(""" \tHäLLo!how  \n Are yoU?  """	)				,      ["""hallo""", """!""", """how""", """are""", """you""", """?"""]	)
         self.assertListEqual(tokenizer.tokenize("""H\u00E9llo"""	)				,      ["""hello"""]	)

      def 	UpperCAmelCase      (      self	)		->				Any:
         snake_case      :				Union[str, Any]				=       RoCBertBasicTokenizer(do_lower_case=UpperCamelCase__	)

         self.assertListEqual(
             tokenizer.tokenize(""" \tHeLLo!how  \n Are yoU?  """	)				,      ["""HeLLo""", """!""", """how""", """Are""", """yoU""", """?"""]	)

      def 	UpperCAmelCase      (      self	)		->				Tuple:
         snake_case      :				Optional[int]				=       RoCBertBasicTokenizer(do_lower_case=UpperCamelCase__				,      strip_accents=UpperCamelCase__	)

         self.assertListEqual(
             tokenizer.tokenize(""" \tHäLLo!how  \n Are yoU?  """	)				,      ["""HäLLo""", """!""", """how""", """Are""", """yoU""", """?"""]	)

      def 	UpperCAmelCase      (      self	)		->				Tuple:
         snake_case      :				Optional[Any]				=       RoCBertBasicTokenizer(do_lower_case=UpperCamelCase__				,      strip_accents=UpperCamelCase__	)

         self.assertListEqual(
             tokenizer.tokenize(""" \tHäLLo!how  \n Are yoU?  """	)				,      ["""HaLLo""", """!""", """how""", """Are""", """yoU""", """?"""]	)

      def 	UpperCAmelCase      (      self	)		->				str:
         snake_case      :				Optional[Any]				=       RoCBertBasicTokenizer(do_lower_case=UpperCamelCase__				,      never_split=["""[UNK]"""]	)

         self.assertListEqual(
             tokenizer.tokenize(""" \tHeLLo!how  \n Are yoU? [UNK]"""	)				,      ["""HeLLo""", """!""", """how""", """Are""", """yoU""", """?""", """[UNK]"""]	)

      def 	UpperCAmelCase      (      self	)		->				Any:
         snake_case      :				List[str]				=       ["[UNK]", "[CLS]", "[SEP]", "want", "##want", "##ed", "wa", "un", "runn", "##ing"]

         snake_case      :				int				=       {}
         for i, token in enumerate(UpperCamelCase__	):
            snake_case      :				Optional[Any]				=       i
         snake_case      :				str				=       RoCBertWordpieceTokenizer(vocab=UpperCamelCase__				,      unk_token="""[UNK]"""	)

         self.assertListEqual(tokenizer.tokenize(""""""	)				,      []	)

         self.assertListEqual(tokenizer.tokenize("""unwanted running"""	)				,      ["""un""", """##want""", """##ed""", """runn""", """##ing"""]	)

         self.assertListEqual(tokenizer.tokenize("""unwantedX running"""	)				,      ["""[UNK]""", """runn""", """##ing"""]	)

      def 	UpperCAmelCase      (      self	)		->				Dict:
         self.assertTrue(_is_whitespace(""" """	)	)
         self.assertTrue(_is_whitespace("""\t"""	)	)
         self.assertTrue(_is_whitespace("""\r"""	)	)
         self.assertTrue(_is_whitespace("""\n"""	)	)
         self.assertTrue(_is_whitespace("""\u00A0"""	)	)

         self.assertFalse(_is_whitespace("""A"""	)	)
         self.assertFalse(_is_whitespace("""-"""	)	)

      def 	UpperCAmelCase      (      self	)		->				Optional[int]:
         self.assertTrue(_is_control("""\u0005"""	)	)

         self.assertFalse(_is_control("""A"""	)	)
         self.assertFalse(_is_control(""" """	)	)
         self.assertFalse(_is_control("""\t"""	)	)
         self.assertFalse(_is_control("""\r"""	)	)

      def 	UpperCAmelCase      (      self	)		->				str:
         self.assertTrue(_is_punctuation("""-"""	)	)
         self.assertTrue(_is_punctuation("""$"""	)	)
         self.assertTrue(_is_punctuation("""`"""	)	)
         self.assertTrue(_is_punctuation("""."""	)	)

         self.assertFalse(_is_punctuation("""A"""	)	)
         self.assertFalse(_is_punctuation(""" """	)	)

      def 	UpperCAmelCase      (      self	)		->				int:
         snake_case      :				Any				=       self.get_tokenizer()

         # Example taken from the issue https://github.com/huggingface/tokenizers/issues/340
         self.assertListEqual([tokenizer.tokenize(UpperCamelCase__	) for t in ["""Test""", """\xad""", """test"""]]				,      [["""[UNK]"""], [], ["""[UNK]"""]]	)

         if self.test_rust_tokenizer:
            snake_case      :				Any				=       self.get_rust_tokenizer()
            self.assertListEqual(
                [rust_tokenizer.tokenize(UpperCamelCase__	) for t in ["""Test""", """\xad""", """test"""]]				,      [["""[UNK]"""], [], ["""[UNK]"""]]	)

      def 	UpperCAmelCase      (      self	)		->				Any:


         for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
            with self.subTest(f"""{tokenizer.__class__.__name__} ({pretrained_name})"""	):
               snake_case      :				str				=       self.rust_tokenizer_class.from_pretrained(UpperCamelCase__				,      **UpperCamelCase__	)

               snake_case      :				Optional[Any]				=       f"""A, naïve {tokenizer_r.mask_token} AllenNLP sentence."""
               snake_case      :				Tuple				=       tokenizer_r.encode_plus(
                   UpperCamelCase__				,      return_attention_mask=UpperCamelCase__				,      return_token_type_ids=UpperCamelCase__				,      return_offsets_mapping=UpperCamelCase__				,      add_special_tokens=UpperCamelCase__				,      )

               snake_case      :				str				=       tokenizer_r.do_lower_case if hasattr(UpperCamelCase__				,      """do_lower_case"""	) else False
               snake_case      :				List[Any]				=       (
                   [
                       ((0, 0), tokenizer_r.cls_token),
                       ((0, 1), "A"),
                       ((1, 2), ","),
                       ((3, 5), "na"),
                       ((5, 6), "##ï"),
                       ((6, 8), "##ve"),
                       ((9, 1_5), tokenizer_r.mask_token),
                       ((1_6, 2_1), "Allen"),
                       ((2_1, 2_3), "##NL"),
                       ((2_3, 2_4), "##P"),
                       ((2_5, 3_3), "sentence"),
                       ((3_3, 3_4), "."),
                       ((0, 0), tokenizer_r.sep_token),
                   ]
                   if not do_lower_case
                   else [
                       ((0, 0), tokenizer_r.cls_token),
                       ((0, 1), "a"),
                       ((1, 2), ","),
                       ((3, 8), "naive"),
                       ((9, 1_5), tokenizer_r.mask_token),
                       ((1_6, 2_1), "allen"),
                       ((2_1, 2_3), "##nl"),
                       ((2_3, 2_4), "##p"),
                       ((2_5, 3_3), "sentence"),
                       ((3_3, 3_4), "."),
                       ((0, 0), tokenizer_r.sep_token),
                   ]
               )

               self.assertEqual(
                   [e[1] for e in expected_results]				,      tokenizer_r.convert_ids_to_tokens(tokens["""input_ids"""]	)	)
               self.assertEqual([e[0] for e in expected_results]				,      tokens["""offset_mapping"""]	)

      def 	UpperCAmelCase      (      self	)		->				Optional[int]:
         snake_case      :				Optional[Any]				=       ["的", "人", "有"]
         snake_case      :				int				=       "".join(UpperCamelCase__	)
         for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
            with self.subTest(f"""{tokenizer.__class__.__name__} ({pretrained_name})"""	):
               snake_case      :				Tuple				=       True
               snake_case      :				str				=       self.tokenizer_class.from_pretrained(UpperCamelCase__				,      **UpperCamelCase__	)
               snake_case      :				Dict				=       self.rust_tokenizer_class.from_pretrained(UpperCamelCase__				,      **UpperCamelCase__	)

               snake_case      :				Union[str, Any]				=       tokenizer_p.encode(UpperCamelCase__				,      add_special_tokens=UpperCamelCase__	)
               snake_case      :				List[Any]				=       tokenizer_r.encode(UpperCamelCase__				,      add_special_tokens=UpperCamelCase__	)

               snake_case      :				Any				=       tokenizer_r.convert_ids_to_tokens(UpperCamelCase__	)
               snake_case      :				List[str]				=       tokenizer_p.convert_ids_to_tokens(UpperCamelCase__	)

               # it is expected that each Chinese character is not preceded by "##"
               self.assertListEqual(UpperCamelCase__				,      UpperCamelCase__	)
               self.assertListEqual(UpperCamelCase__				,      UpperCamelCase__	)

               snake_case      :				int				=       False
               snake_case      :				Any				=       self.rust_tokenizer_class.from_pretrained(UpperCamelCase__				,      **UpperCamelCase__	)
               snake_case      :				Union[str, Any]				=       self.tokenizer_class.from_pretrained(UpperCamelCase__				,      **UpperCamelCase__	)

               snake_case      :				str				=       tokenizer_r.encode(UpperCamelCase__				,      add_special_tokens=UpperCamelCase__	)
               snake_case      :				str				=       tokenizer_p.encode(UpperCamelCase__				,      add_special_tokens=UpperCamelCase__	)

               snake_case      :				str				=       tokenizer_r.convert_ids_to_tokens(UpperCamelCase__	)
               snake_case      :				Tuple				=       tokenizer_p.convert_ids_to_tokens(UpperCamelCase__	)

               # it is expected that only the first Chinese character is not preceded by "##".
               snake_case      :				Dict				=       [
                   f"""##{token}""" if idx != 0 else token for idx, token in enumerate(UpperCamelCase__	)
               ]
               self.assertListEqual(UpperCamelCase__				,      UpperCamelCase__	)
               self.assertListEqual(UpperCamelCase__				,      UpperCamelCase__	)

      @slow
      def 	UpperCAmelCase      (      self	)		->				Any:
         snake_case      :				str				=       self.tokenizer_class(self.vocab_file				,      self.word_shape_file				,      self.word_pronunciation_file	)

         snake_case      :				Dict				=       tokenizer.encode("""你好"""				,      add_special_tokens=UpperCamelCase__	)
         snake_case      :				Union[str, Any]				=       tokenizer.encode("""你是谁"""				,      add_special_tokens=UpperCamelCase__	)

         snake_case      :				Tuple				=       tokenizer.build_inputs_with_special_tokens(UpperCamelCase__	)
         snake_case      :				List[Any]				=       tokenizer.build_inputs_with_special_tokens(UpperCamelCase__				,      UpperCamelCase__	)

         assert encoded_sentence == [1] + text + [2]
         assert encoded_pair == [1] + text + [2] + text_a + [2]

      def 	UpperCAmelCase      (      self	)		->				Optional[Any]:
         snake_case      :				int				=       self.get_tokenizers(do_lower_case=UpperCamelCase__	)
         for tokenizer in tokenizers:
            with self.subTest(f"""{tokenizer.__class__.__name__}"""	):
               snake_case      :				str				=       "你好，你是谁"
               snake_case      :				Dict				=       tokenizer.tokenize(UpperCamelCase__	)
               snake_case      :				Union[str, Any]				=       tokenizer.convert_tokens_to_ids(UpperCamelCase__	)
               snake_case      :				Optional[Any]				=       tokenizer.convert_tokens_to_shape_ids(UpperCamelCase__	)
               snake_case      :				Tuple				=       tokenizer.convert_tokens_to_pronunciation_ids(UpperCamelCase__	)
               snake_case      :				Dict				=       tokenizer.prepare_for_model(
                   UpperCamelCase__				,      UpperCamelCase__				,      UpperCamelCase__				,      add_special_tokens=UpperCamelCase__	)

               snake_case      :				Optional[Any]				=       tokenizer.encode_plus(UpperCamelCase__				,      add_special_tokens=UpperCamelCase__	)

               self.assertEqual(UpperCamelCase__				,      UpperCamelCase__	)








"""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

__A						   =			logging.get_logger(__name__)


__A						   =			{
    "vocab_file": "vocab.json",
    "merges_file": "merges.txt",
    "tokenizer_config_file": "tokenizer_config.json",
}

__A						   =			{
    "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"
    },
}

__A						   =			{"facebook/blenderbot-3B": 128}





class     snake_case	(				__snake_case  ):
				SCREAMING_SNAKE_CASE_   :      Dict         =  VOCAB_FILES_NAMES
				SCREAMING_SNAKE_CASE_   :      str         =  PRETRAINED_VOCAB_FILES_MAP
				SCREAMING_SNAKE_CASE_   :      Optional[Any]         =  PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
				SCREAMING_SNAKE_CASE_   :      Optional[int]         =  ["""input_ids""", """attention_mask"""]
				SCREAMING_SNAKE_CASE_   :      List[Any]         =  BlenderbotTokenizer

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



						'''simple docstring'''


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

						__lowerCAmelCase:       Any          =			json.loads(self.backend_tokenizer.pre_tokenizer.__getstate__())
						if pre_tok_state.get("add_prefix_space"     ,  UpperCamelCase__) != add_prefix_space:
								__lowerCAmelCase:       Dict          =			getattr(UpperCamelCase__     ,  pre_tok_state.pop("type"))
								__lowerCAmelCase:       int          =			add_prefix_space
								__lowerCAmelCase:       str          =			pre_tok_class(**UpperCamelCase__)

						__lowerCAmelCase:       List[Any]          =			add_prefix_space

						__lowerCAmelCase:       Union[str, Any]          =			"post_processor"
						__lowerCAmelCase:       Tuple          =			getattr(self.backend_tokenizer     ,  UpperCamelCase__     ,  UpperCamelCase__)
						if tokenizer_component_instance:
								__lowerCAmelCase:       List[Any]          =			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:       str          =			tuple(state["sep"])
								if "cls" in state:
										__lowerCAmelCase:       Any          =			tuple(state["cls"])

								__lowerCAmelCase:       int          =			False

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

								if state.get("trim_offsets"     ,  UpperCamelCase__) != trim_offsets:
										__lowerCAmelCase:       Dict          =			trim_offsets
										__lowerCAmelCase:       Tuple          =			True

								if changes_to_apply:
										__lowerCAmelCase:       Dict          =			getattr(UpperCamelCase__     ,  state.pop("type"))
										__lowerCAmelCase:       str          =			component_class(**UpperCamelCase__)
										setattr(self.backend_tokenizer     ,  UpperCamelCase__     ,  UpperCamelCase__)

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



						'''simple docstring'''


						__lowerCAmelCase:       int          =			AddedToken(UpperCamelCase__     ,  lstrip=UpperCamelCase__     ,  rstrip=UpperCamelCase__) if isinstance(UpperCamelCase__     ,  UpperCamelCase__) else value
						__lowerCAmelCase:       Any          =			value

				def 							lowercase_     (	self							:				Union[str, Any]     ,  *UpperCamelCase__							:				List[str]     ,  **UpperCamelCase__							:				Optional[int])->   BatchEncoding:



						'''simple docstring'''


						__lowerCAmelCase:       List[str]          =			kwargs.get("is_split_into_words"     ,  UpperCamelCase__)
						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(*UpperCamelCase__     ,  **UpperCamelCase__)

				def 							lowercase_     (	self							:				Any     ,  *UpperCamelCase__							:				Optional[int]     ,  **UpperCamelCase__							:				int)->   BatchEncoding:



						'''simple docstring'''


						__lowerCAmelCase:       List[Any]          =			kwargs.get("is_split_into_words"     ,  UpperCamelCase__)

						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(*UpperCamelCase__     ,  **UpperCamelCase__)

				def 							lowercase_     (	self							:				List[str]     ,  UpperCamelCase__							:				str     ,  UpperCamelCase__							:				Optional[str] = None)->   Tuple[str]:



						'''simple docstring'''


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

				def 							lowercase_     (	self							:				str     ,  UpperCamelCase__							:				List[int]     ,  UpperCamelCase__							:				Optional[List[int]] = None)->   List[int]:



						'''simple docstring'''


						__lowerCAmelCase:       Tuple          =			[self.sep_token_id]
						__lowerCAmelCase:       Any          =			[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							:				Union[str, Any]     ,  UpperCamelCase__							:				List[int]     ,  UpperCamelCase__							:				Optional[List[int]] = None)->   List[Any]:



						'''simple docstring'''


						return token_ids_a + [self.eos_token_id]




				def 							lowercase_     (	self							:				Dict     ,  UpperCamelCase__							:				"Conversation")->   List[int]:



						'''simple docstring'''


						__lowerCAmelCase:       str          =			[]
						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(UpperCamelCase__)

						__lowerCAmelCase:       Optional[int]          =			"  ".join(UpperCamelCase__)
						__lowerCAmelCase:       Tuple          =			self.encode(UpperCamelCase__)
						if len(UpperCamelCase__) > self.model_max_length:
								__lowerCAmelCase:       int          =			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


