





'''simple docstring'''


from sklearn.neural_network import MLPClassifier

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


_SCREAMING_SNAKE_CASE			=							MLPClassifier(
    solver="lbfgs", alpha=1e-5, hidden_layer_sizes=(5, 2), random_state=1
)

clf.fit(X, y)


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


def 		__a(SCREAMING_SNAKE_CASE_					:   Tuple      ):



    '''simple docstring'''





    return list(SCREAMING_SNAKE_CASE_      )


if __name__ == "__main__":
       import doctest

       doctest.testmod()









'''simple docstring'''


def 		__a(SCREAMING_SNAKE_CASE_					:   int = 1000      ):



    '''simple docstring'''





    return sum(i for i in range(SCREAMING_SNAKE_CASE_      ) if i % 3 == 0 or i % 5 == 0      )


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


