Antoine Beyeler

This is better covered by #359

Hey, the supported units are here: https://github.com/abey79/vpype/blob/cca750b42575c8c513eb4b05fb917e071819b016/vpype/utils.py#L33 Feel free to open a PR with more units, it should be a matter of just adding to the dictionary. As for "%",...

@haschdl no I haven't. I did recently add an API function wrapper to vpype's core that would come in handy: https://vpype.readthedocs.io/en/stable/api/vpype_cli.html#vpype_cli.execute The way I think things should be going is...

> It might be relevant to mention that I only use a limited set of vpype’s features, namely the optimization and layouting features. I do not use the drawing features...

> I will share something here once I’m have a working example! Nice. I can't recommend enough joining the discord server I mentioned. I know there are plenty of people...

My position is that it should so long as #35 is not implemented because IMO the primary aim of vpype is provide a (visual) render as faithful as possible (within...

> what about it takes any time to implement? Nothing in particular. I just need to get around to doing it, and it must be done carefully because any modification...

```python import random import timeit import matplotlib.pyplot as plt from multiprocessing.dummy import Pool import numpy as np import vpype as vp thread_pool = Pool() random.seed(0) N1 = 10000 dataset1 =...

```python N2 = 50000 dataset2 = [vp.line( random.uniform(0, 1000), random.uniform(0, 1000), random.uniform(0, 1000), random.uniform(0, 1000), ) for _ in range(N2)] ```

```python import random import timeit import matplotlib.pyplot as plt from multiprocessing.dummy import Pool import numpy as np thread_pool = Pool() line_lengths = np.concatenate( [np.arange(2, 2500, 50), np.arange(2500, 5000, 100), np.arange(5000,...