



'''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_mvp import MvpTokenizer


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


UpperCamelCase__       :	Dict    = {'''vocab_file''': '''vocab.json''', '''merges_file''': '''merges.txt''', '''tokenizer_file''': '''tokenizer.json'''}

# See all MVP models at https://huggingface.co/models?filter=mvp
UpperCamelCase__       :	Optional[int]    = {
    '''vocab_file''': {
        '''RUCAIBox/mvp''': '''https://huggingface.co/RUCAIBox/mvp/resolve/main/vocab.json''',
    },
    '''added_tokens.json''': {
        '''RUCAIBox/mvp''': '''https://huggingface.co/RUCAIBox/mvp/resolve/main/added_tokens.json''',
    },
    '''merges_file''': {
        '''RUCAIBox/mvp''': '''https://huggingface.co/RUCAIBox/mvp/resolve/main/merges.txt''',
    },
    '''tokenizer_file''': {
        '''RUCAIBox/mvp''': '''https://huggingface.co/RUCAIBox/mvp/resolve/main/tokenizer.json''',
    },
}

UpperCamelCase__       :	Any    = {
    '''RUCAIBox/mvp''': 10_24,
}






class 						_UpperCamelCase  (							lowerCamelCase__    ):


			'''simple docstring'''

			_A      :		int			    =		VOCAB_FILES_NAMES
			_A      :		Tuple			    =		PRETRAINED_VOCAB_FILES_MAP
			_A      :		List[str]			    =		PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
			_A      :		Any			    =		['''input_ids''', '''attention_mask''']
			_A      :		Optional[Any]			    =		MvpTokenizer

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





					"""simple docstring"""






					super().__init__(
					    lowerCAmelCase__							,     lowerCAmelCase__							,     tokenizer_file=lowerCAmelCase__							,     errors=lowerCAmelCase__							,     bos_token=lowerCAmelCase__							,     eos_token=lowerCAmelCase__							,     sep_token=lowerCAmelCase__							,     cls_token=lowerCAmelCase__							,     unk_token=lowerCAmelCase__							,     pad_token=lowerCAmelCase__							,     mask_token=lowerCAmelCase__							,     add_prefix_space=lowerCAmelCase__							,     trim_offsets=lowerCAmelCase__							,     **lowerCAmelCase__							,     )

					__SCREAMING_SNAKE_CASE       :		Dict           =		json.loads(self.backend_tokenizer.pre_tokenizer.__getstate__()						)
					if pre_tok_state.get("""add_prefix_space"""							,     lowerCAmelCase__						) != add_prefix_space:
							__SCREAMING_SNAKE_CASE       :		str           =		getattr(lowerCAmelCase__							,     pre_tok_state.pop("""type"""						)						)
							__SCREAMING_SNAKE_CASE       :		Optional[Any]           =		add_prefix_space
							__SCREAMING_SNAKE_CASE       :		Optional[Any]           =		pre_tok_class(**lowerCAmelCase__						)

					__SCREAMING_SNAKE_CASE       :		int           =		add_prefix_space

					# the pre_tokenizer is already updated in the GPT2TokenizerFast `__init__`
					__SCREAMING_SNAKE_CASE       :		int           =		"""post_processor"""
					__SCREAMING_SNAKE_CASE       :		int           =		getattr(self.backend_tokenizer							,     lowerCAmelCase__							,     lowerCAmelCase__						)
					if tokenizer_component_instance:
							__SCREAMING_SNAKE_CASE       :		List[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:
									__SCREAMING_SNAKE_CASE       :		Any           =		tuple(state["""sep"""]						)
							if "cls" in state:
									__SCREAMING_SNAKE_CASE       :		Any           =		tuple(state["""cls"""]						)

							__SCREAMING_SNAKE_CASE       :		str           =		False

							if state.get("""add_prefix_space"""							,     lowerCAmelCase__						) != add_prefix_space:
									__SCREAMING_SNAKE_CASE       :		Any           =		add_prefix_space
									__SCREAMING_SNAKE_CASE       :		List[str]           =		True

							if state.get("""trim_offsets"""							,     lowerCAmelCase__						) != trim_offsets:
									__SCREAMING_SNAKE_CASE       :		int           =		trim_offsets
									__SCREAMING_SNAKE_CASE       :		str           =		True

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

			@property
			def UpperCamelCase__					(							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 UpperCamelCase__					(							self     : Dict							,     lowerCAmelCase__     : str						):





					"""simple docstring"""






					__SCREAMING_SNAKE_CASE       :		Union[str, Any]           =		AddedToken(lowerCAmelCase__							,     lstrip=lowerCAmelCase__							,     rstrip=lowerCAmelCase__						) if isinstance(lowerCAmelCase__							,     lowerCAmelCase__						) else value
					__SCREAMING_SNAKE_CASE       :		int           =		value

			def UpperCamelCase__					(							self     : Tuple							,     *lowerCAmelCase__     : List[str]							,     **lowerCAmelCase__     : Optional[int]						):





					"""simple docstring"""






					__SCREAMING_SNAKE_CASE       :		int           =		kwargs.get("""is_split_into_words"""							,     lowerCAmelCase__						)

					if is_split_into_words and not self.add_prefix_space:
							raise ValueError(
							    F"You need to instantiate {self.__class__.__name__} with add_prefix_space=True "
							    """to use it with pretokenized inputs."""						)

					return super()._batch_encode_plus(*lowerCAmelCase__							,     **lowerCAmelCase__						)

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





					"""simple docstring"""






					__SCREAMING_SNAKE_CASE       :		Dict           =		kwargs.get("""is_split_into_words"""							,     lowerCAmelCase__						)

					if is_split_into_words and not self.add_prefix_space:
							raise ValueError(
							    F"You need to instantiate {self.__class__.__name__} with add_prefix_space=True "
							    """to use it with pretokenized inputs."""						)

					return super()._encode_plus(*lowerCAmelCase__							,     **lowerCAmelCase__						)

			def UpperCamelCase__					(							self     : Tuple							,     lowerCAmelCase__     : str							,     lowerCAmelCase__     : Optional[str] = None						):





					"""simple docstring"""






					__SCREAMING_SNAKE_CASE       :		List[Any]           =		self._tokenizer.model.save(lowerCAmelCase__							,     name=lowerCAmelCase__						)
					return tuple(lowerCAmelCase__						)

			def UpperCamelCase__					(							self     : str							,     lowerCAmelCase__     : Dict							,     lowerCAmelCase__     : Optional[int]=None						):





					"""simple docstring"""






					__SCREAMING_SNAKE_CASE       :		Union[str, 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 UpperCamelCase__					(							self     : Any							,     lowerCAmelCase__     : List[int]							,     lowerCAmelCase__     : Optional[List[int]] = None						):





					"""simple docstring"""






					__SCREAMING_SNAKE_CASE       :		Tuple           =		[self.sep_token_id]
					__SCREAMING_SNAKE_CASE       :		Optional[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 				lowerCAmelCase_   (	_lowerCamelCase:   list[int]       ,      _lowerCamelCase:   str					):
		__SCREAMING_SNAKE_CASE       :		str           =		int(_lowerCamelCase					)

		# Initialize Result
		__SCREAMING_SNAKE_CASE       :		Tuple           =		[]

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

		return answer


# Driver Code
if __name__ == "__main__":
						UpperCamelCase__       :	int    = []
						UpperCamelCase__       :	List[Any]    = '''0'''

						if (
						    input('''Do you want to enter your denominations ? (yY/n): ''').strip().lower()
						    == "y"
						):
												UpperCamelCase__       :	Tuple    = 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()))
												UpperCamelCase__       :	str    = input('''Enter the change you want to make in Indian Currency: ''').strip()
						else:
												# All denominations of Indian Currency if user does not enter
												UpperCamelCase__       :	List[Any]    = [1, 2, 5, 10, 20, 50, 1_00, 5_00, 20_00]
												UpperCamelCase__       :	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}: ")
												UpperCamelCase__       :	int    = find_minimum_change(denominations, value)
												# Print result
												for i in range(len(answer)):
																		print(answer[i], end=''' ''')