From f57d61b6e68ac9d0047361cc6fd140064b22545d Mon Sep 17 00:00:00 2001 From: Lex Neva Date: Sun, 2 Apr 2023 00:14:57 -0400 Subject: meander fixes --- lib/utils/smoothing.py | 8 +++++--- 1 file changed, 5 insertions(+), 3 deletions(-) (limited to 'lib/utils') diff --git a/lib/utils/smoothing.py b/lib/utils/smoothing.py index 9d43a9f1..1bb250c5 100644 --- a/lib/utils/smoothing.py +++ b/lib/utils/smoothing.py @@ -70,7 +70,8 @@ def smooth_path(path, smoothness=1.0): # .T transposes the array (for some reason splprep expects # [[x1, x2, ...], [y1, y2, ...]] - tck, fp, ier, msg = splprep(coords.T, s=s, k=3, nest=-1, full_output=1) + with debug.time_this("splprep"): + tck, fp, ier, msg = splprep(coords.T, s=s, k=3, nest=-1, full_output=1) if ier > 0: debug.log(f"error {ier} smoothing path: {msg}") return path @@ -78,7 +79,8 @@ def smooth_path(path, smoothness=1.0): # Evaluate the spline curve at many points along its length to produce the # smoothed point list. 2 * num_points seems to be a good number, but it # does produce a lot of points. - smoothed_x_values, smoothed_y_values = splev(np.linspace(0, 1, int(num_points * 2)), tck[0]) - coords = np.array([smoothed_x_values, smoothed_y_values]).T + with debug.time_this("splev"): + smoothed_x_values, smoothed_y_values = splev(np.linspace(0, 1, int(num_points * 2)), tck[0]) + coords = np.array([smoothed_x_values, smoothed_y_values]).T return [Point(x, y) for x, y in coords] -- cgit v1.2.3