Your friend Ambrose, a brilliant Machine Learning engineer, trained a Perceptron on a massive dataset (over 10 trillion training examples). Unfortunately, he forgot to train the final weight vector. The earth cannot afford to train another such model but Ambrose desperately needs this model to help adopt thousands of rescue puppies. Ambrose (and the puppies, AND THE EARTH) is dependent on your expertise in Perceptron. Thankfully, while training, Ambrose managed to save the training examples which were used to make the update at each update step. Surprisingly, only five examples were ever misclassified, which are listed below, along with the number of times those were misclassified. Based on the debug output above and assuming that your initial weight vector w0 was instantiated as the zero vector (0,0,0,0,0), what is the final weight vector of the perceptron (i.e. the weight vector that would have been saved if the code had not malfunctioned)