input: 
  def classify_apples_and_bananas():
      """ This function implements a Python machine learning algorithm to classify apples from bananas.
      It uses a Support Vector Machine (SVM) with a linear kernel.
      >>> classify_apples_and_bananas()
      [0 1]
      """
  
output:     
      import numpy as np
      from sklearn import svm
  
      # Sample data: 0 for apples, 1 for bananas
      X = np.array([[1, 2], [2, 3], [3, 3], [6, 7], [7, 8], [8, 9]])
      y = np.array([0, 0, 0, 1, 1, 1])
  
      # Create a SVM classifier with a linear kernel
      clf = svm.SVC(kernel='linear')
  
      # Train the classifier
      clf.fit(X, y)
  
      # Predict the class for new data points
      predictions = clf.predict([[1, 1], [7, 7]])
  
      return predictions
  