


'''simple docstring'''

import json
from typing import 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_mvp import MvpTokenizer


a_						:       List[str]      			=				logging.get_logger(__name__)


a_						:       List[Any]      			=				{"""vocab_file""": """vocab.json""", """merges_file""": """merges.txt""", """tokenizer_file""": """tokenizer.json"""}

# See all MVP models at https://huggingface.co/models?filter=mvp
a_						:       Tuple      			=				{
    """vocab_file""": {
        """RUCAIBox/mvp""": """https://huggingface.co/RUCAIBox/mvp/resolve/main/vocab.json""",
    },
    """added_tokens.json""": {
        """RUCAIBox/mvp""": """https://huggingface.co/RUCAIBox/mvp/resolve/main/added_tokens.json""",
    },
    """merges_file""": {
        """RUCAIBox/mvp""": """https://huggingface.co/RUCAIBox/mvp/resolve/main/merges.txt""",
    },
    """tokenizer_file""": {
        """RUCAIBox/mvp""": """https://huggingface.co/RUCAIBox/mvp/resolve/main/tokenizer.json""",
    },
}

a_						:       Union[str, Any]      			=				{
    """RUCAIBox/mvp""": 1024,
}





class   snake_case					(					lowercase    ):





  """simple docstring"""




  _lowerCamelCase						=						VOCAB_FILES_NAMES
  _lowerCamelCase						=						PRETRAINED_VOCAB_FILES_MAP
  _lowerCamelCase						=						PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
  _lowerCamelCase						=						["input_ids", "attention_mask"]
  _lowerCamelCase						=						MvpTokenizer






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







   """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_  				=						json.loads(self.backend_tokenizer.pre_tokenizer.__getstate__()  )
   if pre_tok_state.get("add_prefix_space"    ,						UpperCamelCase  ) != add_prefix_space:
    lowerCamelCase_  				=						getattr(UpperCamelCase    ,						pre_tok_state.pop("type"  )  )
    lowerCamelCase_  				=						add_prefix_space
    lowerCamelCase_  				=						pre_tok_class(**UpperCamelCase  )

   lowerCamelCase_  				=						add_prefix_space

   # the pre_tokenizer is already updated in the GPT2TokenizerFast `__init__`
   lowerCamelCase_  				=						"post_processor"
   lowerCamelCase_  				=						getattr(self.backend_tokenizer    ,						UpperCamelCase    ,						UpperCamelCase  )
   if tokenizer_component_instance:
    lowerCamelCase_  				=						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_  				=						tuple(state["sep"]  )
    if "cls" in state:
     lowerCamelCase_  				=						tuple(state["cls"]  )

    lowerCamelCase_  				=						False

    if state.get("add_prefix_space"    ,						UpperCamelCase  ) != add_prefix_space:
     lowerCamelCase_  				=						add_prefix_space
     lowerCamelCase_  				=						True

    if state.get("trim_offsets"    ,						UpperCamelCase  ) != trim_offsets:
     lowerCamelCase_  				=						trim_offsets
     lowerCamelCase_  				=						True

    if changes_to_apply:
     lowerCamelCase_  				=						getattr(UpperCamelCase    ,						state.pop("type"  )  )
     lowerCamelCase_  				=						component_class(**UpperCamelCase  )
     setattr(self.backend_tokenizer    ,						UpperCamelCase    ,						UpperCamelCase  )






  @property
  def 						snake_case	(					self  ):







   """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    ,						UpperCamelCase  ):







   """simple docstring"""
   lowerCamelCase_  				=						AddedToken(UpperCamelCase    ,						lstrip=UpperCamelCase    ,						rstrip=UpperCamelCase  ) if isinstance(UpperCamelCase    ,						UpperCamelCase  ) else value
   lowerCamelCase_  				=						value






  def 						snake_case	(					self    ,						*UpperCamelCase    ,						**UpperCamelCase  ):







   """simple docstring"""
   lowerCamelCase_  				=						kwargs.get("is_split_into_words"    ,						UpperCamelCase  )

   if is_split_into_words and not self.add_prefix_space:
    raise ValueError(
        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 						snake_case	(					self    ,						*UpperCamelCase    ,						**UpperCamelCase  ):







   """simple docstring"""
   lowerCamelCase_  				=						kwargs.get("is_split_into_words"    ,						UpperCamelCase  )

   if is_split_into_words and not self.add_prefix_space:
    raise ValueError(
        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 						snake_case	(					self    ,						UpperCamelCase    ,						UpperCamelCase = None  ):







   """simple docstring"""
   lowerCamelCase_  				=						self._tokenizer.model.save(UpperCamelCase    ,						name=UpperCamelCase  )
   return tuple(UpperCamelCase  )






  def 						snake_case	(					self    ,						UpperCamelCase    ,						UpperCamelCase=None  ):







   """simple docstring"""
   lowerCamelCase_  				=						[self.bos_token_id] + token_ids_a + [self.eos_token_id]
   if token_ids_a is None:
    return output

   return output + [self.eos_token_id] + token_ids_a + [self.eos_token_id]







  def 						snake_case	(					self    ,						UpperCamelCase    ,						UpperCamelCase = None  ):







   """simple docstring"""
   lowerCamelCase_  				=						[self.sep_token_id]
   lowerCamelCase_  				=						[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]







'''simple docstring'''

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

from tokenizers import pre_tokenizers

from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging


if TYPE_CHECKING:
     from transformers.pipelines.conversational import Conversation


a_						:       Dict      			=				logging.get_logger(__name__)

a_						:       List[Any]      			=				{"""vocab_file""": """vocab.json""", """merges_file""": """merges.txt""", """tokenizer_file""": """tokenizer.json"""}

a_						:       Optional[Any]      			=				{
    """tokenizer_file""": {
        """EleutherAI/gpt-neox-20b""": """https://huggingface.co/EleutherAI/gpt-neox-20b/resolve/main/tokenizer.json""",
    },
}

a_						:       str      			=				{
    """gpt-neox-20b""": 2048,
}





class   snake_case					(					lowercase    ):





  """simple docstring"""




  _lowerCamelCase						=						VOCAB_FILES_NAMES
  _lowerCamelCase						=						PRETRAINED_VOCAB_FILES_MAP
  _lowerCamelCase						=						PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
  _lowerCamelCase						=						["input_ids", "attention_mask"]






  def __init__(					self    ,						UpperCamelCase=None    ,						UpperCamelCase=None    ,						UpperCamelCase=None    ,						UpperCamelCase="<|endoftext|>"    ,						UpperCamelCase="<|endoftext|>"    ,						UpperCamelCase="<|endoftext|>"    ,						UpperCamelCase=False    ,						**UpperCamelCase    ,						):







   """simple docstring"""
   super().__init__(
       UpperCamelCase    ,						UpperCamelCase    ,						tokenizer_file=UpperCamelCase    ,						unk_token=UpperCamelCase    ,						bos_token=UpperCamelCase    ,						eos_token=UpperCamelCase    ,						add_prefix_space=UpperCamelCase    ,						**UpperCamelCase    ,						)

   lowerCamelCase_  				=						json.loads(self.backend_tokenizer.pre_tokenizer.__getstate__()  )
   if pre_tok_state.get("add_prefix_space"    ,						UpperCamelCase  ) != add_prefix_space:
    lowerCamelCase_  				=						getattr(UpperCamelCase    ,						pre_tok_state.pop("type"  )  )
    lowerCamelCase_  				=						add_prefix_space
    lowerCamelCase_  				=						pre_tok_class(**UpperCamelCase  )

   lowerCamelCase_  				=						add_prefix_space






  def 						snake_case	(					self    ,						UpperCamelCase    ,						UpperCamelCase = None  ):







   """simple docstring"""
   lowerCamelCase_  				=						self._tokenizer.model.save(UpperCamelCase    ,						name=UpperCamelCase  )
   return tuple(UpperCamelCase  )







  def 						snake_case	(					self    ,						UpperCamelCase  ):







   """simple docstring"""
   lowerCamelCase_  				=						[]
   for is_user, text in conversation.iter_texts():
    input_ids.extend(self.encode(UpperCamelCase    ,						add_special_tokens=UpperCamelCase  ) + [self.eos_token_id]  )

   if len(UpperCamelCase  ) > self.model_max_length:
    lowerCamelCase_  				=						input_ids[-self.model_max_length :]
   return input_ids



