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Solve the following problem using Python, implementing the functions described below, one line at a time
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Description:
 def imdb(display=False):
 """ Return the clssic IMDB sentiment analysis training data in a nice package. Full data is at: http://ai.stanford.edu/~amaas/data/sentiment/aclImdb_v1.tar.gz Paper to cite when using the data is: http://www.aclweb.org/anthology/P11-1015 """


    with open(cache(github_data_url + "imdb_train.txt")) as f:
        data = f.readlines()
    y = np.ones(25000, dtype=np.bool)
    y[:12500] = 0
    return data, y