





"""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


SCREAMING_SNAKE_CASE__					=   logging.get_logger(__name__)

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

SCREAMING_SNAKE_CASE__					=   {
    "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"
        ),
    },
}

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

class 		lowercase					(					_UpperCAmelCase					):
      _SCREAMING_SNAKE_CASE					=      VOCAB_FILES_NAMES
      _SCREAMING_SNAKE_CASE					=      PRETRAINED_VOCAB_FILES_MAP
      _SCREAMING_SNAKE_CASE					=      PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
      _SCREAMING_SNAKE_CASE					=      ['input_ids', 'attention_mask']
      _SCREAMING_SNAKE_CASE					=      RobertaTokenizer





      def __init__(       self      ,						lowercase=None      ,						lowercase=None      ,						lowercase=None      ,						lowercase="replace"      ,						lowercase="<s>"      ,						lowercase="</s>"      ,						lowercase="</s>"      ,						lowercase="<s>"      ,						lowercase="<unk>"      ,						lowercase="<pad>"      ,						lowercase="<mask>"      ,						lowercase=False      ,						lowercase=True      ,						**lowercase      ,						)		->     Optional[int]:
            super().__init__(
                lowercase      ,						lowercase      ,						tokenizer_file=lowercase      ,						errors=lowercase      ,						bos_token=lowercase      ,						eos_token=lowercase      ,						sep_token=lowercase      ,						cls_token=lowercase      ,						unk_token=lowercase      ,						pad_token=lowercase      ,						mask_token=lowercase      ,						add_prefix_space=lowercase      ,						trim_offsets=lowercase      ,						**lowercase      ,						)

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

            lowerCAmelCase  						=       add_prefix_space

            lowerCAmelCase  						=       """post_processor"""
            lowerCAmelCase  						=       getattr(self.backend_tokenizer      ,						lowercase      ,						lowercase )
            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"""      ,						lowercase ) != add_prefix_space:
                        lowerCAmelCase  						=       add_prefix_space
                        lowerCAmelCase  						=       True

                  if state.get("""trim_offsets"""      ,						lowercase ) != trim_offsets:
                        lowerCAmelCase  						=       trim_offsets
                        lowerCAmelCase  						=       True

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





      @property
      def     _snake_case			(       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     _snake_case			(       self      ,						lowercase )		->     Union[str, Any]:
            lowerCAmelCase  						=       AddedToken(lowercase      ,						lstrip=lowercase      ,						rstrip=lowercase ) if isinstance(lowercase      ,						lowercase ) else value
            lowerCAmelCase  						=       value





      def     _snake_case			(       self      ,						*lowercase      ,						**lowercase )		->     BatchEncoding:
            lowerCAmelCase  						=       kwargs.get("""is_split_into_words"""      ,						lowercase )
            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(*lowercase      ,						**lowercase )





      def     _snake_case			(       self      ,						*lowercase      ,						**lowercase )		->     BatchEncoding:
            lowerCAmelCase  						=       kwargs.get("""is_split_into_words"""      ,						lowercase )

            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(*lowercase      ,						**lowercase )





      def     _snake_case			(       self      ,						lowercase      ,						lowercase = None )		->     Tuple[str]:
            lowerCAmelCase  						=       self._tokenizer.model.save(lowercase      ,						name=lowercase )
            return tuple(lowercase )





      def     _snake_case			(       self      ,						lowercase      ,						lowercase=None )		->     List[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     _snake_case			(       self      ,						lowercase      ,						lowercase = 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]













"""simple docstring"""





def 			UpperCAmelCase__							(  SCREAMING_SNAKE_CASE     :						int							,						SCREAMING_SNAKE_CASE     :						int			):







      '''simple docstring'''




      while b:
            lowerCAmelCase						,		lowerCAmelCase  						=       b, a % b
      return a


def 			UpperCAmelCase__							(  SCREAMING_SNAKE_CASE     :						int							,						SCREAMING_SNAKE_CASE     :						int			):







      '''simple docstring'''




      return a if b == 0 else euclidean_gcd_recursive(SCREAMING_SNAKE_CASE							,						a % b			)


def 			UpperCAmelCase__							(  ):







      '''simple docstring'''




      print(F'euclidean_gcd(3, 5) = {euclidean_gcd(3							,						5			)}'			)
      print(F'euclidean_gcd(5, 3) = {euclidean_gcd(5							,						3			)}'			)
      print(F'euclidean_gcd(1, 3) = {euclidean_gcd(1							,						3			)}'			)
      print(F'euclidean_gcd(3, 6) = {euclidean_gcd(3							,						6			)}'			)
      print(F'euclidean_gcd(6, 3) = {euclidean_gcd(6							,						3			)}'			)

      print(F'euclidean_gcd_recursive(3, 5) = {euclidean_gcd_recursive(3							,						5			)}'			)
      print(F'euclidean_gcd_recursive(5, 3) = {euclidean_gcd_recursive(5							,						3			)}'			)
      print(F'euclidean_gcd_recursive(1, 3) = {euclidean_gcd_recursive(1							,						3			)}'			)
      print(F'euclidean_gcd_recursive(3, 6) = {euclidean_gcd_recursive(3							,						6			)}'			)
      print(F'euclidean_gcd_recursive(6, 3) = {euclidean_gcd_recursive(6							,						3			)}'			)


if __name__ == "__main__":
       main()






