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import numpy
from matplotlib import path
#import perfplot
import pypathlib
def test_speed(n=3):
path_pts = [[0, 0], [0, 1], [1, 1], [1, 0]]
path0 = path.Path(path_pts)
path1 = pypathlib.ClosedPath(path_pts)
def _mpl_path(pts):
return path0.contains_points(pts)
def _pypathlib_contains_points(pts):
return path1.contains_points(pts)
numpy.random.seed(0)
# perfplot.show(
# setup=lambda n: numpy.random.rand(n, 2),
# kernels=[_mpl_path, _pypathlib_contains_points],
# n_range=[2 ** k for k in range(n)],
# labels=["matplotlib.path.contains_points", "pypathlib.contains_points"],
# logx=True,
# logy=True,
# xlabel="num points",
# )
return
def benchmark():
path_pts = [[0, 0], [0, 1], [1, 1], [1, 0]]
path1 = pypathlib.ClosedPath(path_pts)
pts = numpy.random.rand(5000000, 2)
path1.contains_points(pts)
return
if __name__ == "__main__":
# test_speed(20)
benchmark()
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