input: Write a python function to create and fit an SVM learner, and then predict labels based on feature vectors.
  assert len(predict_labels(X, y, X)) == len(X)
  assert predict_labels(X, y, X).shape == y.shape
output: def predict_labels(X_train, y_train, X_test):
      from sklearn.svm import SVC
      model = SVC()
      model.fit(X_train, y_train)
      return model.predict(X_test)