Python environment corruption

Scripting
1

Hi everyone,

I’m using Rhino version 8.16.25042.13001 with Python 3. I only installed two additional libraries: numpy and matplotlib.

I was fixing a legacy code that was passed down from my colleagues. But my Grasshopper crashed. I have tried the following steps to resolve the issue:

  • Removed this folder C:\Users\MATIN.rhinocode\py39-rh8\site-envs\default_askjdhei
  • Renamed the folder to default
  • Uninstalled Rhino using Revo Uninstaller.
  • Deleted all folders related to Rhino.
  • Reinstalled Rhino.

Despite these steps, I’m still facing problems. I have attached the .gh file of the plugin (little side project), the file contains all the code I’m using to develop the plugin—nothing external to the code inside the GHA file.

Below is a snippet of the code we used to use to load matplotlib that might be the reason why.

# requirements: matplotlib
import locale
locale.setlocale(locale.LC_ALL, "en-US")

The error I’m getting is:

Error running script (ExecuteException): Environment "default" is corrupted due to a possible package installation failure

Now, no Python code runs, even after reinstalling Rhino. I’ve also included the crash dump and the recovery file. I’m not sure what the problem is, so please only open the files if you’re confident about the potential fix.

Any help or guidance would be greatly appreciated!

Thanks in advance.

Feel free to adjust any details as needed before posting.
RhinoCrashDump.gh (132.9 KB)
back gh2.gh (136.7 KB)

2

I found the fix, and it was much simpler than I expected!

How to Fix It:

  1. Open Script Editor in Rhino.
  2. Go to Tools > Advanced.
  3. Select Reset Python 3 (CPython) Runtime this is the option you need.

Big thanks to @eirannejad

For more details, check out this guide:
Rhino - Python Package Environments

1 Like
3

Perfect. You found the solution before I even see this thread :clap:

This normally happens when there is a conflict in package install. ScriptEditor assumes the environment is corrupt since pip might have deleted some files and failed at deleting other files and leave an invalid environment