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Solve the following problem using Python, implementing the functions described below, one line at a time
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Description:
 def score(self, test_X, test_Y):
 """Compute the mean accuracy over the test set. Parameters test_X : array_like, shape (n_samples, n_features) Test data. test_Y : array_like, shape (n_samples, n_features) Test labels. Returns ------- float : mean accuracy over the test set """

        with self.tf_graph.as_default():
            with tf.Session() as self.tf_session:
                self.tf_saver.restore(self.tf_session, self.model_path)
                feed = {
                    self.input_data: test_X,
                    self.input_labels: test_Y,
                    self.keep_prob: 1
                }
                return self.accuracy.eval(feed)