
"""simple docstring"""





from sklearn.neural_network import MLPClassifier

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


_a									=				MLPClassifier(
    solver='lbfgs', alpha=1e-5, hidden_layer_sizes=(5, 2), random_state=1
)

clf.fit(X, y)


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







def       __a	(						__lowerCamelCase    ):
   return list(__lowerCamelCase    )


if __name__ == "__main__":
    import doctest

    doctest.testmod()





import random


def 							__lowercase     (	UpperCAmelCase__   ):

					"""simple docstring"""






					def is_sorted(UpperCAmelCase__   ):
										for i in range(len(UpperCAmelCase__   ) - 1   ):
															if collection[i] > collection[i + 1]:
																				return False
										return True

					while not is_sorted(UpperCAmelCase__   ):
										random.shuffle(UpperCAmelCase__   )
					return collection


if __name__ == "__main__":
		lowerCamelCase   					=  input('''Enter numbers separated by a comma:\n''').strip()
		lowerCamelCase   					=  [int(item) for item in user_input.split(''',''')]
		print(bogo_sort(unsorted))






