
"""simple docstring"""


import os


def      lowerCAmelCase_     (	)     ->Optional[int]:
			lowerCamelCase__			:  List[str]  =0
			lowerCamelCase__			:  Tuple  =0
			with open(os.path.dirname(snake_case_    ) + '/p022_names.txt'    ) as file:
						lowerCamelCase__			:  Union[str, Any]  =str(file.readlines()[0]    )
						lowerCamelCase__			:  Optional[int]  =name.replace('"'							,					''    ).split(','    )

			name.sort()
			for i in range(len(snake_case_    )    ):
						for j in name[i]:
									temp_sum += ord(snake_case_    ) - ord('A'    ) + 1
						total_sum += (i + 1) * temp_sum
						lowerCamelCase__			:  List[Any]  =0
			return total_sum


if __name__ == "__main__":
							print(solution())

"""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()