input: def classify_emails_using_naive_bayes(X_train, y_train, X_test):
      """ Constructs a Naive Bayes Classifier using Python to classify emails as spam or not spam.
      >>> X_train = [[0, 1], [1, 0], [0, 0], [1, 1]]
      >>> y_train = [0, 1, 0, 1]
      >>> X_test = [[1, 0]]
      >>> classify_emails_using_naive_bayes(X_train, y_train, X_test)
      [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