# import numpy as np
# from sklearn.pipeline import make_pipeline
# from sklearn.preprocessing import StandardScaler

# X = np.array([[-1, -1], [-2, -1], [1, 1], [2, 1]])
# y = np.array([1, 1, 2, 2])
# from sklearn.svm import SVC
# clf = make_pipeline(StandardScaler(), SVC(gamma='auto'))
# clf.fit(X, y)
# print(clf.predict([[-0.8, -1]]))

print('hello world 123')