



"""simple docstring"""
import json
from typing import Iterator, List, Union

from tokenizers import AddedToken, Regex, Tokenizer, decoders, normalizers, pre_tokenizers, trainers
from tokenizers.implementations.base_tokenizer import BaseTokenizer
from tokenizers.models import Unigram
from tokenizers.processors import TemplateProcessing
class 				lowerCamelCase  (			_lowerCAmelCase				):






					'''simple docstring'''





					def __init__(       self:							List[Any]						,     snake_case:							str = "▁"						,     snake_case:							bool = True						,     snake_case:							Union[str, AddedToken] = "<unk>"						,     snake_case:							Union[str, AddedToken] = "</s>"						,     snake_case:							Union[str, AddedToken] = "<pad>"						,     )   ->	Any:
											snake_case_ :Any						=			{
											    """pad""": {"""id""": 0, """token""": pad_token},
											    """eos""": {"""id""": 1, """token""": eos_token},
											    """unk""": {"""id""": 2, """token""": unk_token},
											}

											snake_case_ :Dict						=			[None] * len(self.special_tokens						)
											for token_dict in self.special_tokens.values():
																	snake_case_ :Tuple						=			token_dict["""token"""]

											snake_case_ :Union[str, Any]						=			Tokenizer(Unigram()						)

											snake_case_ :Tuple						=			normalizers.Sequence(
											    [
											        normalizers.Nmt(),
											        normalizers.NFKC(),
											        normalizers.Replace(Regex(""" {2,}"""						)						,     """ """						),
											        normalizers.Lowercase(),
											    ]						)
											snake_case_ :str						=			pre_tokenizers.Sequence(
											    [
											        pre_tokenizers.Metaspace(replacement=snake_case						,     add_prefix_space=snake_case						),
											        pre_tokenizers.Digits(individual_digits=snake_case						),
											        pre_tokenizers.Punctuation(),
											    ]						)
											snake_case_ :Dict						=			decoders.Metaspace(replacement=snake_case						,     add_prefix_space=snake_case						)

											snake_case_ :str						=			TemplateProcessing(
											    single=f"""$A {self.special_tokens['eos']['token']}"""						,     special_tokens=[(self.special_tokens["""eos"""]["""token"""], self.special_tokens["""eos"""]["""id"""])]						,     )

											snake_case_ :Tuple						=			{
											    """model""": """SentencePieceUnigram""",
											    """replacement""": replacement,
											    """add_prefix_space""": add_prefix_space,
											}

											super().__init__(snake_case						,     snake_case						)






					def    lowerCAmelCase_				(       self:							Dict						,     snake_case:							Union[str, List[str]]						,     snake_case:							int = 8_000						,     snake_case:							bool = True						,     )   ->	int:
											snake_case_ :List[Any]						=			trainers.UnigramTrainer(
											    vocab_size=snake_case						,     special_tokens=self.special_tokens_list						,     show_progress=snake_case						,     )

											if isinstance(snake_case						,     snake_case						):
																	snake_case_ :int						=			[files]
											self._tokenizer.train(snake_case						,     trainer=snake_case						)

											self.add_unk_id()






					def    lowerCAmelCase_				(       self:							Dict						,     snake_case:							Union[Iterator[str], Iterator[Iterator[str]]]						,     snake_case:							int = 8_000						,     snake_case:							bool = True						,     )   ->	List[str]:
											snake_case_ :Optional[Any]						=			trainers.UnigramTrainer(
											    vocab_size=snake_case						,     special_tokens=self.special_tokens_list						,     show_progress=snake_case						,     )

											self._tokenizer.train_from_iterator(snake_case						,     trainer=snake_case						)

											self.add_unk_id()






					def    lowerCAmelCase_				(       self:							List[Any]						)   ->	Tuple:
											snake_case_ :Dict						=			json.loads(self._tokenizer.to_str()						)

											snake_case_ :Optional[int]						=			self.special_tokens["""unk"""]["""id"""]

											snake_case_ :Optional[int]						=			Tokenizer.from_str(json.dumps(snake_case						)						)




'''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


__snake_case    						=logging.get_logger(__name__)

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

__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"""
        )
    },
}

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

class 		UpperCAmelCase_      (  __lowercase		):
     lowerCamelCase				:	Tuple		=     VOCAB_FILES_NAMES
     lowerCamelCase				:	Optional[int]		=     PRETRAINED_VOCAB_FILES_MAP
     lowerCamelCase				:	Union[str, Any]		=     PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
     lowerCamelCase				:	Optional[Any]		=     BlenderbotSmallTokenizer





     def __init__( self       :      Any    ,      UpperCAmelCase__       :      Union[str, Any]=None    ,      UpperCAmelCase__       :      Dict=None    ,      UpperCAmelCase__       :      int="<|endoftext|>"    ,      UpperCAmelCase__       :      Dict="<|endoftext|>"    ,      UpperCAmelCase__       :      str="<|endoftext|>"    ,      UpperCAmelCase__       :      str=False    ,      UpperCAmelCase__       :      Tuple=True    ,      **UpperCAmelCase__       :      Optional[Any]    ,      )				->  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__    ,      )
        lowerCAmelCase     =			add_prefix_space





     def 							__UpperCAmelCase      ( self       :      List[Any]    ,      UpperCAmelCase__       :      Union[str, Any]    ,      UpperCAmelCase__       :      Dict=None    )				->  Any:
        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 							__UpperCAmelCase      ( self       :      Any    ,      UpperCAmelCase__       :      List[int]    ,      UpperCAmelCase__       :      Optional[List[int]] = None    )				->  List[int]:
        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]





