



'''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_bart import BartTokenizer


SCREAMING_SNAKE_CASE__      					=     logging.get_logger(__name__)


SCREAMING_SNAKE_CASE__      					=     {"vocab_file": "vocab.json", "merges_file": "merges.txt", "tokenizer_file": "tokenizer.json"}

# See all BART models at https://huggingface.co/models?filter=bart
SCREAMING_SNAKE_CASE__      					=     {
    "vocab_file": {
        "facebook/bart-base": "https://huggingface.co/facebook/bart-base/resolve/main/vocab.json",
        "facebook/bart-large": "https://huggingface.co/facebook/bart-large/resolve/main/vocab.json",
        "facebook/bart-large-mnli": "https://huggingface.co/facebook/bart-large-mnli/resolve/main/vocab.json",
        "facebook/bart-large-cnn": "https://huggingface.co/facebook/bart-large-cnn/resolve/main/vocab.json",
        "facebook/bart-large-xsum": "https://huggingface.co/facebook/bart-large-xsum/resolve/main/vocab.json",
        "yjernite/bart_eli5": "https://huggingface.co/yjernite/bart_eli5/resolve/main/vocab.json",
    },
    "merges_file": {
        "facebook/bart-base": "https://huggingface.co/facebook/bart-base/resolve/main/merges.txt",
        "facebook/bart-large": "https://huggingface.co/facebook/bart-large/resolve/main/merges.txt",
        "facebook/bart-large-mnli": "https://huggingface.co/facebook/bart-large-mnli/resolve/main/merges.txt",
        "facebook/bart-large-cnn": "https://huggingface.co/facebook/bart-large-cnn/resolve/main/merges.txt",
        "facebook/bart-large-xsum": "https://huggingface.co/facebook/bart-large-xsum/resolve/main/merges.txt",
        "yjernite/bart_eli5": "https://huggingface.co/yjernite/bart_eli5/resolve/main/merges.txt",
    },
    "tokenizer_file": {
        "facebook/bart-base": "https://huggingface.co/facebook/bart-base/resolve/main/tokenizer.json",
        "facebook/bart-large": "https://huggingface.co/facebook/bart-large/resolve/main/tokenizer.json",
        "facebook/bart-large-mnli": "https://huggingface.co/facebook/bart-large-mnli/resolve/main/tokenizer.json",
        "facebook/bart-large-cnn": "https://huggingface.co/facebook/bart-large-cnn/resolve/main/tokenizer.json",
        "facebook/bart-large-xsum": "https://huggingface.co/facebook/bart-large-xsum/resolve/main/tokenizer.json",
        "yjernite/bart_eli5": "https://huggingface.co/yjernite/bart_eli5/resolve/main/tokenizer.json",
    },
}

SCREAMING_SNAKE_CASE__      					=     {
    "facebook/bart-base": 1024,
    "facebook/bart-large": 1024,
    "facebook/bart-large-mnli": 1024,
    "facebook/bart-large-cnn": 1024,
    "facebook/bart-large-xsum": 1024,
    "yjernite/bart_eli5": 1024,
}


class 				snake_case (UpperCamelCase   ):
       lowerCAmelCase__  :Any						   =					VOCAB_FILES_NAMES
       lowerCAmelCase__  :Any						   =					PRETRAINED_VOCAB_FILES_MAP
       lowerCAmelCase__  :Optional[Any]						   =					PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
       lowerCAmelCase__  :Optional[Any]						   =					["input_ids", "attention_mask"]
       lowerCAmelCase__  :List[str]						   =					BartTokenizer



       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_     ,)  ->							Optional[Any]:
           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_     ,)

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

           lowercase__		       =						add_prefix_space

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

               lowercase__		       =						False

               if state.get("add_prefix_space"     ,UpperCAmelCase_      ) != add_prefix_space:
                   lowercase__		       =						add_prefix_space
                   lowercase__		       =						True

               if state.get("trim_offsets"     ,UpperCAmelCase_      ) != trim_offsets:
                   lowercase__		       =						trim_offsets
                   lowercase__		       =						True

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



       @property
       def 							_a      (				self      )  ->							str:
           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 							_a      (				self     ,UpperCAmelCase_      )  ->							Any:
           lowercase__		       =						AddedToken(UpperCAmelCase_     ,lstrip=UpperCAmelCase_     ,rstrip=UpperCAmelCase_      ) if isinstance(UpperCAmelCase_     ,UpperCAmelCase_      ) else value
           lowercase__		       =						value



       def 							_a      (				self     ,*UpperCAmelCase_     ,**UpperCAmelCase_      )  ->							BatchEncoding:
           lowercase__		       =						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 							_a      (				self     ,*UpperCAmelCase_     ,**UpperCAmelCase_      )  ->							BatchEncoding:
           lowercase__		       =						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 							_a      (				self     ,UpperCAmelCase_     ,UpperCAmelCase_ = None      )  ->							Tuple[str]:
           lowercase__		       =						self._tokenizer.model.save(UpperCAmelCase_     ,name=UpperCAmelCase_      )
           return tuple(UpperCAmelCase_      )



       def 							_a      (				self     ,UpperCAmelCase_     ,UpperCAmelCase_=None      )  ->							int:
           lowercase__		       =						[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 							_a      (				self     ,UpperCAmelCase_     ,UpperCAmelCase_ = None      )  ->							List[int]:
           lowercase__		       =						[self.sep_token_id]
           lowercase__		       =						[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'''





from typing import List, Optional

from tokenizers import ByteLevelBPETokenizer

from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging
from .tokenization_blenderbot_small import BlenderbotSmallTokenizer


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_small-90M": "https://huggingface.co/facebook/blenderbot_small-90M/resolve/main/vocab.json"
    },
    "merges_file": {
        "facebook/blenderbot_small-90M": "https://huggingface.co/facebook/blenderbot_small-90M/resolve/main/merges.txt"
    },
    "tokenizer_config_file": {
        "facebook/blenderbot_small-90M": (
            "https://huggingface.co/facebook/blenderbot_small-90M/resolve/main/tokenizer_config.json"
        )
    },
}

SCREAMING_SNAKE_CASE__      					=     {
    "facebook/blenderbot_small-90M": 512,
}


class 				snake_case (UpperCamelCase   ):
       lowerCAmelCase__  :Union[str, Any]						   =					VOCAB_FILES_NAMES
       lowerCAmelCase__  :Any						   =					PRETRAINED_VOCAB_FILES_MAP
       lowerCAmelCase__  :str						   =					PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
       lowerCAmelCase__  :List[Any]						   =					BlenderbotSmallTokenizer



       def __init__(				self     ,UpperCAmelCase_=None     ,UpperCAmelCase_=None     ,UpperCAmelCase_="<|endoftext|>"     ,UpperCAmelCase_="<|endoftext|>"     ,UpperCAmelCase_="<|endoftext|>"     ,UpperCAmelCase_=False     ,UpperCAmelCase_=True     ,**UpperCAmelCase_     ,)  ->							Optional[Any]:
           super().__init__(
               ByteLevelBPETokenizer(
                   vocab=UpperCAmelCase_     ,merges=UpperCAmelCase_     ,add_prefix_space=UpperCAmelCase_     ,trim_offsets=UpperCAmelCase_     ,)     ,bos_token=UpperCAmelCase_     ,eos_token=UpperCAmelCase_     ,unk_token=UpperCAmelCase_     ,**UpperCAmelCase_     ,)
           lowercase__		       =						add_prefix_space



       def 							_a      (				self     ,UpperCAmelCase_     ,UpperCAmelCase_=None      )  ->							Optional[int]:
           lowercase__		       =						[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 							_a      (				self     ,UpperCAmelCase_     ,UpperCAmelCase_ = None      )  ->							List[int]:
           lowercase__		       =						[self.sep_token_id]
           lowercase__		       =						[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]




