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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 run_all():
 """ Load the data that we're using to search for Li-rich giants. Store it in dataset and model objects. """

    DATA_DIR = "/home/annaho/TheCannon/code/apogee_lamost/xcalib_4labels"
    dates = os.listdir("/home/share/LAMOST/DR2/DR2_release")
    dates = np.array(dates)
    dates = np.delete(dates, np.where(dates=='.directory')[0][0])
    dates = np.delete(dates, np.where(dates=='all_folders.list')[0][0])
    dates = np.delete(dates, np.where(dates=='dr2.lis')[0][0])

    for date in dates:
        if glob.glob("*%s*.txt" %date):
            print("%s done" %date)
        else:
            print("running %s" %date)
            run_one_date(date)