Pull Requests Since v6.6.1
Enhancement
- #1073 - Restore proper ruckus branch
Unlabeled
- #1078 - conda-recipe update
- #1076 - Update conda-recipe/README.md
- #1077 - Migration from petalinux toolchain to Yocto
- #1074 - Change print() debug to log().
Pull Request Details
Restore proper ruckus branch
Author: | Ryan Herbst [email protected] |
Date: | Tue May 13 19:40:01 2025 -0700 |
Pull: | #1073 (1 additions, 1 deletions, 1 files changed) |
Branch: | slaclab/gh_docker |
Labels: | enhancement |
Notes:
Restore branch reference to ruckus workflow back to main.
Won't pass CI until Ruckus is released.
Change print() debug to log().
Author: | Benjamin Reese [email protected] |
Date: | Tue Jun 3 11:52:00 2025 -0700 |
Pull: | #1074 (1 additions, 1 deletions, 1 files changed) |
Branch: | slaclab/log-fix |
Notes:
Description
This was left over from some debugging work long ago. We shouldn't have print statements in the released code.
Update conda-recipe/README.md
Author: | Larry Ruckman [email protected] |
Date: | Fri Jul 11 11:28:58 2025 -0700 |
Pull: | #1076 (57 additions, 6 deletions, 1 files changed) |
Branch: | slaclab/conda-recipe_README-update |
Notes:
Description
- README file was out of date (e.g. still using
-c pydm-tag
- Add another section of my notes when you want to build the .conda package file and test it locally before having Github CI try to do it
Migration from petalinux toolchain to Yocto
Author: | Larry Ruckman [email protected] |
Date: | Fri Jul 11 10:56:16 2025 -0700 |
Pull: | #1077 (30 additions, 29 deletions, 2 files changed) |
Branch: | slaclab/yocto-doc |
Notes:
Description
- AMD is depreciating petalinux toolchain in 2025
- These changes migrate to a purely Yocto workflow
conda-recipe update
Author: | Larry Ruckman [email protected] |
Date: | Wed Aug 13 15:33:18 2025 -0700 |
Pull: | #1078 (50 additions, 717 deletions, 3 files changed) |
Branch: | slaclab/remove-p4p-conda-requirement |
Notes:
Description
- updating conda-receipe for additional python version (3.9, 3.10, 3.11, 3.12)
- Removing p4p as a conda deps package
- Recommend using pip install within conda env instead