• Find how the OSM China road network data was prepared here: https://colab.research.google.com/drive/136cXt608dnbS-j8LJRFwf58i5-IiXnst?usp=sharing
• See demo of this package here: https://colab.research.google.com/drive/1bZOiGcZHl1P3VAg-UAihTpjDrdn4r90s?usp=sharing
• Datasets in data folder are converted from R's rda format to NumPy compatible npz. They were fetched from FCPS benchmark - https://github.com/Mthrun/FCPS. Article https://www.sciencedirect.com/science/article/pii/S2352340920303954
• Parallel implementation inspired from (KLines means)[https://github.com/YairMarom/k_lines_means/blob/master/k_line_mean_NIPS.pdf] by Marom and Feldman
• np.version.full_version == '1.16.5', later revisions hv slower array lookups

• Download preprocessed snapshot of the test data here: https://drive.google.com/file/d/1-2qtR2armEKvDlrb6xmazsm9knENJMR6/view?usp=sharing
• You'll need to download and place above snapshot data folder for test_klines_offline.py to work

• Run python -m unittest discover in the root folder

Part of Master's project, IIT (BHU) Varanasi, 2020-21