
"""simple docstring"""




from typing import Optional, Union

from ...file_utils import TensorType
from ...processing_utils import ProcessorMixin
from ...tokenization_utils_base import BatchEncoding, PaddingStrategy, TruncationStrategy
class SCREAMING_SNAKE_CASE       (      lowerCAmelCase					):






	'''simple docstring'''







	snake_case__							:		Any         =		"MarkupLMFeatureExtractor"
	snake_case__							:		Tuple         =		("MarkupLMTokenizer", "MarkupLMTokenizerFast")
	snake_case__							:		str         =		True


	def __call__(  self :Dict       ,    __magic_name__ :Optional[Any]=None       ,    __magic_name__ :List[Any]=None       ,    __magic_name__ :Optional[int]=None       ,    __magic_name__ :List[Any]=None       ,    __magic_name__ :str=None       ,    __magic_name__ :Union[str, Any] = True       ,    __magic_name__ :Union[str, Any] = False       ,    __magic_name__ :List[Any] = None       ,    __magic_name__ :Any = None       ,    __magic_name__ :List[str] = 0       ,    __magic_name__ :Union[str, Any] = None       ,    __magic_name__ :Any = None       ,    __magic_name__ :int = None       ,    __magic_name__ :Any = False       ,    __magic_name__ :str = False       ,    __magic_name__ :int = False       ,    __magic_name__ :Any = False       ,    __magic_name__ :Tuple = True       ,    __magic_name__ :Tuple = None       ,    **__magic_name__ :Union[str, Any]       ,    )			->   BatchEncoding:

			'''simple docstring'''






			if self.parse_html:
					if html_strings is None:
							raise ValueError('''Make sure to pass HTML strings in case `parse_html` is set to `True`'''			)

					if nodes is not None or xpaths is not None or node_labels is not None:
							raise ValueError(
							    '''Please don\'t pass nodes, xpaths nor node labels in case `parse_html` is set to `True`'''			)

					a__   		=     self.feature_extractor(lowercase__			)
					a__   		=     features['''nodes''']
					a__   		=     features['''xpaths''']
			else:
					if html_strings is not None:
							raise ValueError('''You have passed HTML strings but `parse_html` is set to `False`.'''			)
					if nodes is None or xpaths is None:
							raise ValueError('''Make sure to pass nodes and xpaths in case `parse_html` is set to `False`'''			)

        # # second, apply the tokenizer
			if questions is not None and self.parse_html:
					if isinstance(lowercase__       ,    lowercase__			):
							a__   		=     [questions]  # add batch dimension (as the feature extractor always adds a batch dimension)

			a__   		=     self.tokenizer(
			    text=questions if questions is not None else nodes       ,    text_pair=nodes if questions is not None else None       ,    xpaths=lowercase__       ,    node_labels=lowercase__       ,    add_special_tokens=lowercase__       ,    padding=lowercase__       ,    truncation=lowercase__       ,    max_length=lowercase__       ,    stride=lowercase__       ,    pad_to_multiple_of=lowercase__       ,    return_token_type_ids=lowercase__       ,    return_attention_mask=lowercase__       ,    return_overflowing_tokens=lowercase__       ,    return_special_tokens_mask=lowercase__       ,    return_offsets_mapping=lowercase__       ,    return_length=lowercase__       ,    verbose=lowercase__       ,    return_tensors=lowercase__       ,    **lowercase__       ,    )

			return encoded_inputs


	def    _UpperCamelCase							(  self :List[str]       ,    *__magic_name__ :List[str]       ,    **__magic_name__ :Any			)			->   List[str]:

			'''simple docstring'''






			return self.tokenizer.batch_decode(*lowercase__       ,    **lowercase__			)


	def    _UpperCamelCase							(  self :Optional[Any]       ,    *__magic_name__ :Union[str, Any]       ,    **__magic_name__ :Tuple			)			->   Tuple:

			'''simple docstring'''






			return self.tokenizer.decode(*lowercase__       ,    **lowercase__			)






	@property
	def    _UpperCamelCase							(  self :Optional[int]			)			->   Any:

			'''simple docstring'''






			a__   		=     self.tokenizer.model_input_names
			return tokenizer_input_names






"""simple docstring"""




from itertools import permutations

def     UpperCamelCase_    (						SCREAMING_SNAKE_CASE_ = 5     ):
					if gon_side < 3 or gon_side > 5:
										raise ValueError('gon_side must be in the range [3, 5]'     )

					# Since it's 16, we know 10 is on the outer ring
					# Put the big numbers at the end so that they are never the first number
					SCREAMING_SNAKE_CASE           =      list(range(gon_side + 1,	0,	-1     )     )
					SCREAMING_SNAKE_CASE           =      list(range(gon_side + 2,	gon_side * 2 + 1     )     )

					for perm in permutations(small_numbers + big_numbers     ):
										SCREAMING_SNAKE_CASE           =      generate_gon_ring(SCREAMING_SNAKE_CASE_,	list(SCREAMING_SNAKE_CASE_     )     )
										if is_magic_gon(SCREAMING_SNAKE_CASE_     ):
															return int(''.join(str(SCREAMING_SNAKE_CASE_     ) for n in numbers     )     )

					SCREAMING_SNAKE_CASE           =      f'''Magic {gon_side}-gon ring is impossible'''
					raise ValueError(SCREAMING_SNAKE_CASE_     )

def     UpperCamelCase_    (						SCREAMING_SNAKE_CASE_,	SCREAMING_SNAKE_CASE_     ):
					SCREAMING_SNAKE_CASE           =      [0] * (gon_side * 3)
					SCREAMING_SNAKE_CASE           =      perm[0:3]
					perm.append(perm[1]     )

					SCREAMING_SNAKE_CASE           =      1 if gon_side < 5 else 2

					for i in range(1,	len(SCREAMING_SNAKE_CASE_     ) // 3 + magic_number     ):
										SCREAMING_SNAKE_CASE           =      perm[2 * i + 1]
										SCREAMING_SNAKE_CASE           =      result[3 * i - 1]
										SCREAMING_SNAKE_CASE           =      perm[2 * i + 2]

					return result

def     UpperCamelCase_    (						SCREAMING_SNAKE_CASE_     ):
					if len(SCREAMING_SNAKE_CASE_     ) % 3 != 0:
										raise ValueError('a gon ring should have a length that is a multiple of 3'     )

					if min(numbers[::3]     ) != numbers[0]:
										return False

					SCREAMING_SNAKE_CASE           =      sum(numbers[:3]     )

					return all(sum(numbers[i : i + 3]     ) == total for i in range(3,	len(SCREAMING_SNAKE_CASE_     ),	3     )     )


if __name__ == "__main__":
	print(solution())
