





"""simple docstring"""




from __future__ import annotations

import typing
from collections import Counter





def 	a_    (							_lowercase       ):
						_UpperCamelCase      : typing.Counter[int]         =   Counter()
						for base in range(1	,						max_perimeter + 1       ):
												for perpendicular in range(_lowercase	,						max_perimeter + 1       ):
																		_UpperCamelCase      : int         =   (base * base + perpendicular * perpendicular) ** 0.5
																		if hypotenuse == int(_lowercase       ):
																								_UpperCamelCase      : Optional[Any]         =   int(base + perpendicular + hypotenuse       )
																								if perimeter > max_perimeter:
																														continue
																								triplets[perimeter] += 1
						return triplets





def 	a_    (							_lowercase = 1000       ):
						_UpperCamelCase      : Dict         =   pythagorean_triple(_lowercase       )
						return triplets.most_common(1       )[0][0]


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










"""simple docstring"""




from ..utils import is_flax_available, is_torch_available


if is_torch_available():
						from .autoencoder_kl import AutoencoderKL
						from .controlnet import ControlNetModel
						from .dual_transformer_ad import DualTransformeraDModel
						from .modeling_utils import ModelMixin
						from .prior_transformer import PriorTransformer
						from .ta_film_transformer import TaFilmDecoder
						from .transformer_ad import TransformeraDModel
						from .unet_ad import UNetaDModel
						from .unet_ad import UNetaDModel
						from .unet_ad_condition import UNetaDConditionModel
						from .unet_ad_condition import UNetaDConditionModel
						from .vq_model import VQModel

if is_flax_available():
						from .controlnet_flax import FlaxControlNetModel
						from .unet_ad_condition_flax import FlaxUNetaDConditionModel
						from .vae_flax import FlaxAutoencoderKL



