
"""simple docstring"""


def      lowerCAmelCase_     (	snake_case_	:    float							,					snake_case_	:    float							,					snake_case_	:    float    )     ->float:
			if mass < 0:
						raise ValueError('The mass of the body cannot be negative'    )
			if radius <= 0:
						raise ValueError('The radius is always a positive non zero integer'    )
			return (mass * (velocity) ** 2) / radius


if __name__ == "__main__":
							import doctest

							doctest.testmod(verbose=True)

"""simple docstring"""


from sklearn.neural_network import MLPClassifier

lowerCAmelCase			=		[[0.0, 0.0], [1.0, 1.0], [1.0, 0.0], [0.0, 1.0]]
lowerCAmelCase			=		[0, 1, 0, 0]


lowerCAmelCase			=		MLPClassifier(
    solver="""lbfgs""", alpha=1E-5, hidden_layer_sizes=(5, 2), random_state=1
)

clf.fit(X, y)


lowerCAmelCase			=		[[0.0, 0.0], [0.0, 1.0], [1.0, 1.0]]
lowerCAmelCase			=		clf.predict(test)






def      lowerCAmelCase_     (	snake_case_	:    Tuple    )     ->List[Any]:
			return list(snake_case_    )


if __name__ == "__main__":
							import doctest

							doctest.testmod()