input: 
  def identify_fruits(X: np.ndarray, y: np.ndarray, x_test: np.ndarray) -> List[int]:
      """
      Develop a machine learning algorithm to identify apples (class 0) from bananas (class 1).
      The algorithm uses a Support Vector Classifier (SVC) with a linear kernel.
      
      :param X: Training data features
      :param y: Training data labels
      :param x_test: Test data features
      :return: Predicted labels for the test data
      
      >>> X = np.array([[1, 2, 3], [-1, 2, 5], [-1, 2, 7], [5, 5, 5], [3, 3, 3], [5, 5, 7]])
      >>> y = np.array([0, 0, 0, 1, 0, 1])
      >>> x_test = np.array([[2, 2, 2], [4, 4, 4]])
      >>> identify_fruits(X, y, x_test)
      [0, 1]
      """
      clf = SVC(kernel='linear')
      clf.fit(X, y)
      return clf.predict(x_test)
  
output:     from sklearn.svm import SVC