input: def classify_emails(X_train, y_train, X_test):
      """Construct a Naive Bayes classifier using Python to classify emails as spam or not spam.
      >>> classify_emails([[0, 1], [1, 0]], [0, 1], [[1, 1], [0, 0]])
      array([1, 0])
      >>> classify_emails([[0, 0], [1, 1]], [0, 1], [[1, 0], [1, 1]])
      array([0, 1])
      """
      from sklearn.naive_bayes import GaussianNB
      
      # Create a Gaussian Classifier
      model = GaussianNB()
      
      # Train the model using the training sets 
      model.fit(X_train, y_train)
      
      # Predict Output 
      y_pred = model.predict(X_test)
      
      return y_pred
output:     from sklearn.naive_bayes import GaussianNB
      
      # Create a Gaussian Classifier
      model = GaussianNB()
      
      # Train the model using the training sets 
      model.fit(X_train, y_train)
      
      # Predict Output 
      y_pred = model.predict(X_test)
      
      return y_pred