
"""simple docstring"""




from typing import List, Optional, Union

from ...processing_utils import ProcessorMixin
from ...tokenization_utils_base import BatchEncoding, PaddingStrategy, PreTokenizedInput, TextInput, TruncationStrategy
from ...utils import TensorType





class  snake_case     (							__lowercase   ):
							UpperCAmelCase__						     =      ['''image_processor''', '''tokenizer''']
							UpperCAmelCase__						     =      '''BridgeTowerImageProcessor'''
							UpperCAmelCase__						     =      ('''RobertaTokenizer''', '''RobertaTokenizerFast''')

							def __init__(self       ,       SCREAMING_SNAKE_CASE_       ,       SCREAMING_SNAKE_CASE_    ):

									"""simple docstring"""







									super().__init__(SCREAMING_SNAKE_CASE_       ,       SCREAMING_SNAKE_CASE_    )

							def __call__(self       ,       SCREAMING_SNAKE_CASE_       ,       SCREAMING_SNAKE_CASE_ = None       ,       SCREAMING_SNAKE_CASE_ = True       ,       SCREAMING_SNAKE_CASE_ = False       ,       SCREAMING_SNAKE_CASE_ = None       ,       SCREAMING_SNAKE_CASE_ = None       ,       SCREAMING_SNAKE_CASE_ = 0       ,       SCREAMING_SNAKE_CASE_ = None       ,       SCREAMING_SNAKE_CASE_ = None       ,       SCREAMING_SNAKE_CASE_ = None       ,       SCREAMING_SNAKE_CASE_ = False       ,       SCREAMING_SNAKE_CASE_ = False       ,       SCREAMING_SNAKE_CASE_ = False       ,       SCREAMING_SNAKE_CASE_ = False       ,       SCREAMING_SNAKE_CASE_ = True       ,       SCREAMING_SNAKE_CASE_ = None       ,       **SCREAMING_SNAKE_CASE_       ,       ):

									"""simple docstring"""







									SCREAMING_SNAKE_CASE_						 = self.tokenizer(
									    text=SCREAMING_SNAKE_CASE_       ,       add_special_tokens=SCREAMING_SNAKE_CASE_       ,       padding=SCREAMING_SNAKE_CASE_       ,       truncation=SCREAMING_SNAKE_CASE_       ,       max_length=SCREAMING_SNAKE_CASE_       ,       stride=SCREAMING_SNAKE_CASE_       ,       pad_to_multiple_of=SCREAMING_SNAKE_CASE_       ,       return_token_type_ids=SCREAMING_SNAKE_CASE_       ,       return_attention_mask=SCREAMING_SNAKE_CASE_       ,       return_overflowing_tokens=SCREAMING_SNAKE_CASE_       ,       return_special_tokens_mask=SCREAMING_SNAKE_CASE_       ,       return_offsets_mapping=SCREAMING_SNAKE_CASE_       ,       return_length=SCREAMING_SNAKE_CASE_       ,       verbose=SCREAMING_SNAKE_CASE_       ,       return_tensors=SCREAMING_SNAKE_CASE_       ,       **SCREAMING_SNAKE_CASE_       ,       )
									# add pixel_values + pixel_mask
									SCREAMING_SNAKE_CASE_						 = self.image_processor(
									    SCREAMING_SNAKE_CASE_       ,       return_tensors=SCREAMING_SNAKE_CASE_       ,       do_normalize=SCREAMING_SNAKE_CASE_       ,       do_center_crop=SCREAMING_SNAKE_CASE_       ,       **SCREAMING_SNAKE_CASE_    )
									encoding.update(SCREAMING_SNAKE_CASE_    )

									return encoding

							def _lowercase					(self       ,       *SCREAMING_SNAKE_CASE_       ,       **SCREAMING_SNAKE_CASE_    ):

									"""simple docstring"""







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

							def _lowercase					(self       ,       *SCREAMING_SNAKE_CASE_       ,       **SCREAMING_SNAKE_CASE_    ):

									"""simple docstring"""







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







							@property
							def _lowercase					(self    ):

									"""simple docstring"""







									SCREAMING_SNAKE_CASE_						 = self.tokenizer.model_input_names
									SCREAMING_SNAKE_CASE_						 = self.image_processor.model_input_names
									return list(dict.fromkeys(tokenizer_input_names + image_processor_input_names    )    )

"""simple docstring"""




from __future__ import annotations

import typing
from collections import Counter



def        _lowerCamelCase ( __a    ):
		SCREAMING_SNAKE_CASE_						 = Counter()
		for base in range(1,							max_perimeter + 1    ):
				for perpendicular in range(__a,							max_perimeter + 1    ):
						SCREAMING_SNAKE_CASE_						 = (base * base + perpendicular * perpendicular) ** 0.5
						if hypotenuse == int(__a    ):
								SCREAMING_SNAKE_CASE_						 = int(base + perpendicular + hypotenuse    )
								if perimeter > max_perimeter:
										continue
								triplets[perimeter] += 1
		return triplets



def        _lowerCamelCase ( __a = 1_000    ):
		SCREAMING_SNAKE_CASE_						 = pythagorean_triple(__a    )
		return triplets.most_common(1    )[0][0]


if __name__ == "__main__":
						print(f'''Perimeter {solution()} has maximum solutions''')