


from __future__ import annotations

import typing
from collections import Counter


def      a	(							SCREAMING_SNAKE_CASE_      :		int       ):






       """simple docstring"""





       UpperCamelCase    :	typing.Counter[int]   	=		Counter()
       for base in range(1							,			max_perimeter + 1       ):
              for perpendicular in range(SCREAMING_SNAKE_CASE_							,			max_perimeter + 1       ):
                     UpperCamelCase    :	int   	=		(base * base + perpendicular * perpendicular) ** 0.5
                     if hypotenuse == int(SCREAMING_SNAKE_CASE_       ):
                            UpperCamelCase    :	List[str]   	=		int(base + perpendicular + hypotenuse       )
                            if perimeter > max_perimeter:
                                   continue
                            triplets[perimeter] += 1
       return triplets


def      a	(							SCREAMING_SNAKE_CASE_      :		int = 1_0_0_0       ):






       """simple docstring"""





       UpperCamelCase    :	Any   	=		pythagorean_triple(SCREAMING_SNAKE_CASE_       )
       return triplets.most_common(1       )[0][0]


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





from ...utils import (
    OptionalDependencyNotAvailable,
    is_torch_available,
    is_transformers_available,
    is_transformers_version,
)


try:
  if not (is_transformers_available() and is_torch_available()):
    raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
  from ...utils.dummy_torch_and_transformers_objects import ShapEPipeline
else:
  from .camera import create_pan_cameras
  from .pipeline_shap_e import ShapEPipeline
  from .pipeline_shap_e_img2img import ShapEImgaImgPipeline
  from .renderer import (
      BoundingBoxVolume,
      ImportanceRaySampler,
      MLPNeRFModelOutput,
      MLPNeRSTFModel,
      ShapEParamsProjModel,
      ShapERenderer,
      StratifiedRaySampler,
      VoidNeRFModel,
  )

