

'''simple docstring'''


from math import sqrt







def 						SCREAMING_SNAKE_CASE(  UpperCamelCase = 1_0_0_0_0_0_0  )    ->    int:
	UpperCAmelCase_		:      int       	=					0
	UpperCAmelCase_		:      int       	=					0
	UpperCAmelCase_		:      int

	while num_cuboids <= limit:
		max_cuboid_size += 1
		for sum_shortest_sides in range(2   ,2 * max_cuboid_size + 1  ):
			if sqrt(sum_shortest_sides**2 + max_cuboid_size**2  ).is_integer():
				num_cuboids += (
				    min(UpperCamelCase   ,sum_shortest_sides // 2  )
				    - max(1   ,sum_shortest_sides - max_cuboid_size  )
				    + 1
				)

	return max_cuboid_size


if __name__ == "__main__":
						print(F'{solution() = }')









'''simple docstring'''


from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


lowerCAmelCase__										= {
    "configuration_clap": [
        "CLAP_PRETRAINED_MODEL_ARCHIVE_LIST",
        "ClapAudioConfig",
        "ClapConfig",
        "ClapTextConfig",
    ],
    "processing_clap": ["ClapProcessor"],
}

try:
						if not is_torch_available():
												raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
						pass
else:
						lowerCAmelCase__										= [
						    "CLAP_PRETRAINED_MODEL_ARCHIVE_LIST",
						    "ClapModel",
						    "ClapPreTrainedModel",
						    "ClapTextModel",
						    "ClapTextModelWithProjection",
						    "ClapAudioModel",
						    "ClapAudioModelWithProjection",
						]
						lowerCAmelCase__										= ["ClapFeatureExtractor"]

if TYPE_CHECKING:
						from .configuration_clap import (
						    CLAP_PRETRAINED_MODEL_ARCHIVE_LIST,
						    ClapAudioConfig,
						    ClapConfig,
						    ClapTextConfig,
						)
						from .processing_clap import ClapProcessor

						try:
												if not is_torch_available():
																		raise OptionalDependencyNotAvailable()
						except OptionalDependencyNotAvailable:
												pass
						else:
												from .feature_extraction_clap import ClapFeatureExtractor
												from .modeling_clap import (
												    CLAP_PRETRAINED_MODEL_ARCHIVE_LIST,
												    ClapAudioModel,
												    ClapAudioModelWithProjection,
												    ClapModel,
												    ClapPreTrainedModel,
												    ClapTextModel,
												    ClapTextModelWithProjection,
												)


else:
						import sys

						lowerCAmelCase__										= _LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)






