



"""simple docstring"""


from sklearn.neural_network import MLPClassifier

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


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

clf.fit(X, y)


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

def 				_lowerCAmelCase   (     lowercase_		):
						return list(lowercase_		)


if __name__ == "__main__":
				import doctest

				doctest.testmod()










"""simple docstring"""


from collections import Counter

def 				_lowerCAmelCase   (     lowercase_		):
						return sum(socks_by_color // 2 for socks_by_color in Counter(lowercase_		).values()		)


if __name__ == "__main__":
				import doctest

				doctest.testmod()

				snake_case_         = [int(x) for x in input("""Enter socks by color :""").rstrip().split()]
				print(f'''sock_merchant({colors}) = {sock_merchant(colors)}''')





