

def 						_snake_case(   SCREAMING_SNAKE_CASE__      :     int = 100				)							->				int:





    '''simple docstring'''






    A__   				=       0
    A__   				=       0
    for i in range(1   ,      n + 1				):
        sum_of_squares += i**2
        sum_of_ints += i
    return sum_of_ints**2 - sum_of_squares


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




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 (
         ImageTextPipelineOutput,
         UniDiffuserPipeline,
     )
else:
     from .modeling_text_decoder import UniDiffuserTextDecoder
     from .modeling_uvit import UniDiffuserModel, UTransformeraDModel
     from .pipeline_unidiffuser import ImageTextPipelineOutput, UniDiffuserPipeline

