


"""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_roberta import RobertaTokenizer


UpperCAmelCase__  							=logging.get_logger(__name__)

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

UpperCAmelCase__  							={
    "vocab_file": {
        "roberta-base": "https://huggingface.co/roberta-base/resolve/main/vocab.json",
        "roberta-large": "https://huggingface.co/roberta-large/resolve/main/vocab.json",
        "roberta-large-mnli": "https://huggingface.co/roberta-large-mnli/resolve/main/vocab.json",
        "distilroberta-base": "https://huggingface.co/distilroberta-base/resolve/main/vocab.json",
        "roberta-base-openai-detector": "https://huggingface.co/roberta-base-openai-detector/resolve/main/vocab.json",
        "roberta-large-openai-detector": (
            "https://huggingface.co/roberta-large-openai-detector/resolve/main/vocab.json"
        ),
    },
    "merges_file": {
        "roberta-base": "https://huggingface.co/roberta-base/resolve/main/merges.txt",
        "roberta-large": "https://huggingface.co/roberta-large/resolve/main/merges.txt",
        "roberta-large-mnli": "https://huggingface.co/roberta-large-mnli/resolve/main/merges.txt",
        "distilroberta-base": "https://huggingface.co/distilroberta-base/resolve/main/merges.txt",
        "roberta-base-openai-detector": "https://huggingface.co/roberta-base-openai-detector/resolve/main/merges.txt",
        "roberta-large-openai-detector": (
            "https://huggingface.co/roberta-large-openai-detector/resolve/main/merges.txt"
        ),
    },
    "tokenizer_file": {
        "roberta-base": "https://huggingface.co/roberta-base/resolve/main/tokenizer.json",
        "roberta-large": "https://huggingface.co/roberta-large/resolve/main/tokenizer.json",
        "roberta-large-mnli": "https://huggingface.co/roberta-large-mnli/resolve/main/tokenizer.json",
        "distilroberta-base": "https://huggingface.co/distilroberta-base/resolve/main/tokenizer.json",
        "roberta-base-openai-detector": (
            "https://huggingface.co/roberta-base-openai-detector/resolve/main/tokenizer.json"
        ),
        "roberta-large-openai-detector": (
            "https://huggingface.co/roberta-large-openai-detector/resolve/main/tokenizer.json"
        ),
    },
}

UpperCAmelCase__  							={
    "roberta-base": 512,
    "roberta-large": 512,
    "roberta-large-mnli": 512,
    "distilroberta-base": 512,
    "roberta-base-openai-detector": 512,
    "roberta-large-openai-detector": 512,
}





class    lowerCamelCase__						(		_a    ):
      a :     Tuple											=		VOCAB_FILES_NAMES
      a :     Any											=		PRETRAINED_VOCAB_FILES_MAP
      a :     Optional[Any]											=		PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
      a :     Optional[int]											=		["""input_ids""", """attention_mask"""]
      a :     Union[str, Any]											=		RobertaTokenizer
      def __init__(		self	:	Optional[int]      ,       A_	:	Optional[Any]=None      ,       A_	:	List[Any]=None      ,       A_	:	str=None      ,       A_	:	List[Any]="replace"      ,       A_	:	Dict="<s>"      ,       A_	:	List[str]="</s>"      ,       A_	:	Optional[Any]="</s>"      ,       A_	:	List[str]="<s>"      ,       A_	:	Tuple="<unk>"      ,       A_	:	int="<pad>"      ,       A_	:	Union[str, Any]="<mask>"      ,       A_	:	Optional[Any]=False      ,       A_	:	Optional[int]=True      ,       **A_	:	List[Any]      ,       ):






       '''simple docstring'''


       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_      ,       )

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

       __lowercase									=	add_prefix_space

       __lowercase									=	"""post_processor"""
       __lowercase									=	getattr(self.backend_tokenizer      ,       A_      ,       A_							)
       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"""      ,       A_							) != add_prefix_space:
         __lowercase									=	add_prefix_space
         __lowercase									=	True

        if state.get("""trim_offsets"""      ,       A_							) != trim_offsets:
         __lowercase									=	trim_offsets
         __lowercase									=	True

        if changes_to_apply:
         __lowercase									=	getattr(A_      ,       state.pop("""type"""							)							)
         __lowercase									=	component_class(**A_							)
         setattr(self.backend_tokenizer      ,       A_      ,       A_							)
      @property
      def SCREAMING_SNAKE_CASE_	(		self	:	Dict							):






       '''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 SCREAMING_SNAKE_CASE_	(		self	:	Optional[Any]      ,       A_	:	int							):






       '''simple docstring'''


       __lowercase									=	AddedToken(A_      ,       lstrip=A_      ,       rstrip=A_							) if isinstance(A_      ,       A_							) else value
       __lowercase									=	value
      def SCREAMING_SNAKE_CASE_	(		self	:	Any      ,       *A_	:	Optional[int]      ,       **A_	:	List[Any]							):






       '''simple docstring'''


       __lowercase									=	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 SCREAMING_SNAKE_CASE_	(		self	:	List[Any]      ,       *A_	:	Union[str, Any]      ,       **A_	:	Union[str, Any]							):






       '''simple docstring'''


       __lowercase									=	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 SCREAMING_SNAKE_CASE_	(		self	:	Optional[int]      ,       A_	:	str      ,       A_	:	Optional[str] = None							):






       '''simple docstring'''


       __lowercase									=	self._tokenizer.model.save(A_      ,       name=A_							)
       return tuple(A_							)
      def SCREAMING_SNAKE_CASE_	(		self	:	Optional[Any]      ,       A_	:	int      ,       A_	:	Tuple=None							):






       '''simple docstring'''


       __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 SCREAMING_SNAKE_CASE_	(		self	:	Any      ,       A_	:	List[int]      ,       A_	:	Optional[List[int]] = None							):






       '''simple docstring'''


       __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"""

import inspect
import unittest





class    lowerCamelCase__						(		unittest.TestCase    ):
      def SCREAMING_SNAKE_CASE_	(		self	:	int							):






       '''simple docstring'''


       try:
        import diffusers  # noqa: F401
       except ImportError:
        assert False






      def SCREAMING_SNAKE_CASE_	(		self	:	Optional[Any]							):






       '''simple docstring'''


       import diffusers
       from diffusers.dependency_versions_table import deps

       __lowercase									=	inspect.getmembers(A_      ,       inspect.isclass							)

       for cls_name, cls_module in all_classes:
        if "dummy_" in cls_module.__module__:
         for backend in cls_module._backends:
          if backend == "k_diffusion":
           __lowercase									=	"""k-diffusion"""
          elif backend == "invisible_watermark":
           __lowercase									=	"""invisible-watermark"""
          assert backend in deps, F'''{backend} is not in the deps table!'''
