






'''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        _UpperCAmelCase						(		snake_case			):
    __lowerCamelCase:   Union[str, Any]		       =    VOCAB_FILES_NAMES
    __lowerCamelCase:   Dict		       =    PRETRAINED_VOCAB_FILES_MAP
    __lowerCamelCase:   List[str]		       =    PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
    __lowerCamelCase:   List[str]		       =    ['input_ids', 'attention_mask']
    __lowerCamelCase:   List[Any]		       =    RobertaTokenizer




    def __init__(			self  :       Optional[Any]  ,     a  :       List[Any]=None  ,     a  :       Optional[int]=None  ,     a  :       Any=None  ,     a  :       List[str]="replace"  ,     a  :       str="<s>"  ,     a  :       List[Any]="</s>"  ,     a  :       Any="</s>"  ,     a  :       str="<s>"  ,     a  :       Any="<unk>"  ,     a  :       Dict="<pad>"  ,     a  :       Optional[int]="<mask>"  ,     a  :       List[str]=False  ,     a  :       int=True  ,     **a  :       List[str]  ,     ):






       '''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_	:    Optional[int]           =     json.loads(self.backend_tokenizer.pre_tokenizer.__getstate__()			)
       if pre_tok_state.get("add_prefix_space"  ,     a			) != add_prefix_space:
          lowercase_	:    Tuple           =     getattr(a  ,     pre_tok_state.pop("type"			)			)
          lowercase_	:    str           =     add_prefix_space
          lowercase_	:    List[str]           =     pre_tok_class(**a			)

       lowercase_	:    Any           =     add_prefix_space

       lowercase_	:    Dict           =     "post_processor"
       lowercase_	:    List[Any]           =     getattr(self.backend_tokenizer  ,     a  ,     a			)
       if tokenizer_component_instance:
          lowercase_	:    Any           =     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_	:    Dict           =     tuple(state["sep"]			)
          if "cls" in state:
             lowercase_	:    Optional[Any]           =     tuple(state["cls"]			)

          lowercase_	:    Optional[int]           =     False

          if state.get("add_prefix_space"  ,     a			) != add_prefix_space:
             lowercase_	:    List[Any]           =     add_prefix_space
             lowercase_	:    Tuple           =     True

          if state.get("trim_offsets"  ,     a			) != trim_offsets:
             lowercase_	:    Optional[Any]           =     trim_offsets
             lowercase_	:    Dict           =     True

          if changes_to_apply:
             lowercase_	:    Union[str, Any]           =     getattr(a  ,     state.pop("type"			)			)
             lowercase_	:    Union[str, Any]           =     component_class(**a			)
             setattr(self.backend_tokenizer  ,     a  ,     a			)




    @property
    def 				lowerCAmelCase__				(			self  :       List[Any]			):






       '''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 				lowerCAmelCase__				(			self  :       Tuple  ,     a  :       Optional[int]			):






       '''simple docstring'''






       lowercase_	:    Union[str, Any]           =     AddedToken(a  ,     lstrip=a  ,     rstrip=a			) if isinstance(a  ,     a			) else value
       lowercase_	:    Optional[int]           =     value




    def 				lowerCAmelCase__				(			self  :       List[Any]  ,     *a  :       Optional[Any]  ,     **a  :       Union[str, Any]			):






       '''simple docstring'''






       lowercase_	:    List[Any]           =     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 				lowerCAmelCase__				(			self  :       Union[str, Any]  ,     *a  :       str  ,     **a  :       str			):






       '''simple docstring'''






       lowercase_	:    int           =     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 				lowerCAmelCase__				(			self  :       Dict  ,     a  :       str  ,     a  :       Optional[str] = None			):






       '''simple docstring'''






       lowercase_	:    Any           =     self._tokenizer.model.save(a  ,     name=a			)
       return tuple(a			)




    def 				lowerCAmelCase__				(			self  :       List[str]  ,     a  :       Any  ,     a  :       Optional[int]=None			):






       '''simple docstring'''






       lowercase_	:    Any           =     [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 				lowerCAmelCase__				(			self  :       Optional[int]  ,     a  :       List[int]  ,     a  :       Optional[List[int]] = None			):






       '''simple docstring'''






       lowercase_	:    Any           =     [self.sep_token_id]
       lowercase_	:    int           =     [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 		__SCREAMING_SNAKE_CASE					(  _UpperCamelCase = 200							):


   """simple docstring"""




   lowercase_	:    Optional[int]           =     [1, 2, 5, 10, 20, 50, 100, 200]
   lowercase_	:    str           =     [0] * (pence + 1)
   lowercase_	:    Dict           =     1  # base case: 1 way to make 0 pence

   for coin in coins:
      for i in range(_UpperCamelCase						,		pence + 1						,		1							):
         number_of_ways[i] += number_of_ways[i - coin]
   return number_of_ways[pence]


if __name__ == "__main__":
 assert solution(200) == 73682




