python import loso data = [1, 2, 3, 4, 5] processed_data = loso.process(data) print(processed_data) image = loso.Image("image.jpg") enhanced_image = image.enhance() filtered_image = enhanced_image.apply_filter("grayscale") converted_image = filtered_image.convert("png") converted_image.save("processed_image.png") classified_text = loso.classify(text) sentiment = loso.analyze_sentiment(text) entities = loso.extract_entities(text) model = loso.train_model(data, labels) predictions = model.predict(test_data) accuracy = model.evaluate(test_data, test_labels)