input: from typing import Tuple
  
  def classify_text(text: str, positiveText: str, negativeText: str) -> str:
      """ 
      Classifies the given text into positive or negative using NaiveBayesClassifier.
      The function takes in examples of positive and negative texts to train the classifier.
      Returns the classification of the given text (either 'positive' or 'negative').
      >>> classify_text("This is a great movie!", "This is a great movie!", "This movie was terrible")
      'positive'
      >>> classify_text("This movie was ok", "This is a great movie!", "This movie was terrible")
      'negative'
      """
output:     from textblob.classifiers import NaiveBayesClassifier
  
      train_data = [
          (positiveText, 'positive'),
          (negativeText, 'negative')
      ]
  
      classifier = NaiveBayesClassifier(train_data)
      return classifier.classify(text)