import numpy as np
from pypolyline.util import encode_coordinates

# London bounding box
N = 51.691874116909894
E = 0.3340155643740321
S = 51.28676016315085
W = -0.5103750689005356

num_coords = 100
coords = zip(
    np.random.uniform(S, N, [num_coords]),
    np.random.uniform(W, E, [num_coords])
    ) 

if __name__ == "__main__":
    for x in xrange(50):
        encode_coordinates(coords, 5)

import numpy as np
from pypolyline.cutil import encode_coordinates

# London bounding box
N = 51.691874116909894
E = 0.3340155643740321
S = 51.28676016315085
W = -0.5103750689005356

num_coords = 100
coords = zip(
    np.random.uniform(S, N, [num_coords]),
    np.random.uniform(W, E, [num_coords])
    ) 

if __name__ == "__main__":
    for x in xrange(50):
        encode_coordinates(coords, 5)

Use Cython functions in benchmarks
Use Cython functions in benchmarks
