


"""simple docstring"""






from math import sqrt







def        lowerCamelCase_(		_lowerCamelCase = 1000000       )    ->     int:
   '''simple docstring'''





   _lowerCamelCase   :				int							=     0
   _lowerCamelCase   :				int							=     0
   _lowerCamelCase   :				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(_lowerCamelCase			,		sum_shortest_sides // 2       )
                - max(1			,		sum_shortest_sides - max_cuboid_size       )
                + 1
            )

   return max_cuboid_size


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






from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_tokenizers_available, is_torch_available


a__: int							   =						{
    'configuration_m2m_100': ['M2M_100_PRETRAINED_CONFIG_ARCHIVE_MAP', 'M2M100Config', 'M2M100OnnxConfig'],
    'tokenization_m2m_100': ['M2M100Tokenizer'],
}


try:
       if not is_torch_available():
              raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
       pass
else:
       a__: List[Any]							   =						[
           'M2M_100_PRETRAINED_MODEL_ARCHIVE_LIST',
           'M2M100ForConditionalGeneration',
           'M2M100Model',
           'M2M100PreTrainedModel',
       ]


if TYPE_CHECKING:
       from .configuration_mam_aaa import M2M_100_PRETRAINED_CONFIG_ARCHIVE_MAP, MaMaaaConfig, MaMaaaOnnxConfig
       from .tokenization_mam_aaa import MaMaaaTokenizer

       try:
              if not is_torch_available():
                     raise OptionalDependencyNotAvailable()
       except OptionalDependencyNotAvailable:
              pass
       else:
              from .modeling_mam_aaa import (
                  M2M_100_PRETRAINED_MODEL_ARCHIVE_LIST,
                  MaMaaaForConditionalGeneration,
                  MaMaaaModel,
                  MaMaaaPreTrainedModel,
              )


else:
       import sys

       a__: List[str]							   =						_LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)





