


"""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    :					Optional[Any]							   =   logging.get_logger(__name__)

UpperCamelCase    :					int							   =   {'vocab_file': 'vocab.json', 'merges_file': 'merges.txt', 'tokenizer_file': 'tokenizer.json'}

UpperCamelCase    :					Union[str, Any]							   =   {
    '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    :					Union[str, Any]							   =   {
    '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__    ( snake_case_      ):
						lowerCAmelCase  	=  VOCAB_FILES_NAMES
						lowerCAmelCase  	=  PRETRAINED_VOCAB_FILES_MAP
						lowerCAmelCase  	=  PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
						lowerCAmelCase  	=  ['''input_ids''', '''attention_mask''']
						lowerCAmelCase  	=  RobertaTokenizer







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

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

								A       							=			add_prefix_space

								A       							=			"""post_processor"""
								A       							=			getattr(self.backend_tokenizer      ,      lowercase__      ,      lowercase__		)
								if tokenizer_component_instance:
										A       							=			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:
												A       							=			tuple(state['sep']		)
										if "cls" in state:
												A       							=			tuple(state['cls']		)

										A       							=			False

										if state.get('add_prefix_space'      ,      lowercase__		) != add_prefix_space:
												A       							=			add_prefix_space
												A       							=			True

										if state.get('trim_offsets'      ,      lowercase__		) != trim_offsets:
												A       							=			trim_offsets
												A       							=			True

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







						@property
						def __a    (				self :     List[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 :     Union[str, Any]      ,      _lowercase :     Tuple		):
								A       							=			AddedToken(lowercase__      ,      lstrip=lowercase__      ,      rstrip=lowercase__		) if isinstance(lowercase__      ,      lowercase__		) else value
								A       							=			value







						def __a    (				self :     Union[str, Any]      ,      *_lowercase :     Union[str, Any]      ,      **_lowercase :     Union[str, Any]		):
								A       							=			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 __a    (				self :     Dict      ,      *_lowercase :     int      ,      **_lowercase :     Dict		):
								A       							=			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 __a    (				self :     Dict      ,      _lowercase :     str      ,      _lowercase :     Optional[str] = None		):
								A       							=			self._tokenizer.model.save(lowercase__      ,      name=lowercase__		)
								return tuple(lowercase__		)







						def __a    (				self :     Dict      ,      _lowercase :     List[Any]      ,      _lowercase :     int=None		):
								A       							=			[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 :     List[str]      ,      _lowercase :     List[int]      ,      _lowercase :     Optional[List[int]] = None		):
								A       							=			[self.sep_token_id]
								A       							=			[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__    :					list[int] ,    UpperCamelCase__    :					str				):




     """simple docstring"""


     a_     :							Tuple     						=  int(UpperCamelCase__				)

     # Initialize Result
     a_     :							Tuple     						=  []

     # Traverse through all denomination
     for denomination in reversed(UpperCamelCase__				):
          # Find denominations
          while int(UpperCamelCase__				) >= int(UpperCamelCase__				):
               total_value -= int(UpperCamelCase__				)
               answer.append(UpperCamelCase__				)  # Append the "answers" array

     return answer


# Driver Code
if __name__ == "__main__":
 lowerCAmelCase_      :  List[str]				     =  []
 lowerCAmelCase_      :  Union[str, Any]				     =  '0'

 if (
     input('Do you want to enter your denominations ? (yY/n): ').strip().lower()
     == "y"
 ):
  lowerCAmelCase_      :  str				     =  int(input('Enter the number of denominations you want to add: ').strip())

  for i in range(0, n):
   denominations.append(int(input(f"Denomination {i}: ").strip()))
  lowerCAmelCase_      :  Union[str, Any]				     =  input('Enter the change you want to make in Indian Currency: ').strip()
 else:
  # All denominations of Indian Currency if user does not enter
  lowerCAmelCase_      :  List[Any]				     =  [1, 2, 5, 10, 20, 50, 100, 500, 2000]
  lowerCAmelCase_      :  str				     =  input('Enter the change you want to make: ').strip()

 if int(value) == 0 or int(value) < 0:
  print('The total value cannot be zero or negative.')

 else:
  print(f"Following is minimal change for {value}: ")
  lowerCAmelCase_      :  Optional[int]				     =  find_minimum_change(denominations, value)
  # Print result
  for i in range(len(answer)):
   print(answer[i], end=' ')
