input: from typing import List, Tuple
  
  
  def apple_banana_classifier(X_train: List[Tuple[int, int, int]], y_train: List[int], X_test: List[Tuple[int, int, int]]) -> List[int]:
      """ Develop a machine learning algorithm to classify apples and bananas using Support Vector Classifier (SVC) with a linear kernel.
      The function will take training data (X_train, y_train) and test data (X_test), fit the SVC model, and return predictions for the test data.
      >>> apple_banana_classifier([(1,2,3), (-1,2,5), (-1,2,7), (5,5,5), (3,3,3), (5,5,7)], [0, 0, 0, 1, 0, 1], [(2,2,2), (4,4,4)])
      [0, 1]
      """
output:     from sklearn.svm import SVC
      model = SVC(kernel='linear')
      model.fit(X_train, y_train)
      return model.predict(X_test)