"""simple docstring"""






def     a_		(   lowerCamelCase			):

				for insert_index, insert_value in enumerate(collection[1:]			):
								UpperCAmelCase__			 =				insert_index
								while insert_index >= 0 and insert_value < collection[insert_index]:
												UpperCAmelCase__			 =				collection[insert_index]
												insert_index -= 1
								if insert_index != temp_index:
												UpperCAmelCase__			 =				insert_value
				return collection


if __name__ == "__main__":
						from doctest import testmod

						testmod()

						lowerCAmelCase__    :    List[str]			=      input('Enter numbers separated by a comma:\n').strip()
						lowerCAmelCase__    :    Optional[Any]			=      [int(item) for item in user_input.split(',')]
						print(F"""{insertion_sort(unsorted) = }""")




"""simple docstring"""






from sklearn.neural_network import MLPClassifier

lowerCAmelCase__    :    Any			=      [[0.0, 0.0], [1.0, 1.0], [1.0, 0.0], [0.0, 1.0]]
lowerCAmelCase__    :    Optional[int]			=      [0, 1, 0, 0]


lowerCAmelCase__    :    Dict			=      MLPClassifier(
    solver='lbfgs', alpha=1E-5, hidden_layer_sizes=(5, 2), random_state=1
)

clf.fit(X, y)


lowerCAmelCase__    :    Optional[int]			=      [[0.0, 0.0], [0.0, 1.0], [1.0, 1.0]]
lowerCAmelCase__    :    Union[str, Any]			=      clf.predict(test)



def     a_		(   lowerCamelCase			):
				return list(lowerCamelCase			)


if __name__ == "__main__":
						import doctest

						doctest.testmod()



