
def        lowerCamelCase_      (			UpperCAmelCase_							:				int = 10_00       ):
						lowercase       :    Optional[Any]											=  []
						lowercase       :    Any											=  []
						lowercase       :    Dict											=  3
						lowercase       :    List[str]											=  5
						lowercase       :    Optional[Any]											=  1
						while True:
												lowercase       :    int											=  z * temp
												if result < n:
																		zmulti.append(UpperCAmelCase_       )
																		temp += 1
												else:
																		lowercase       :    List[str]											=  1
																		break
						while True:
												lowercase       :    Tuple											=  x * temp
												if result < n:
																		xmulti.append(UpperCAmelCase_       )
																		temp += 1
												else:
																		break
						lowercase       :    Any											=  list(set(xmulti + zmulti       )       )
						return sum(UpperCAmelCase_       )


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




snake_case__  							=							"""
# Installation de Transformers
! pip install transformers datasets
# Pour installer à partir du code source au lieu de la dernière version, commentez la commande ci-dessus et décommentez la suivante.
# ! pip install git+https://github.com/huggingface/transformers.git
"""

snake_case__  							=							[{"""type""": """code""", """content""": INSTALL_CONTENT}]
snake_case__  							=							{
    """{processor_class}""": """FakeProcessorClass""",
    """{model_class}""": """FakeModelClass""",
    """{object_class}""": """FakeObjectClass""",
}


