GAP integration for Windows
A pull request for this has already been merged.
- #391 by @perlinm — merged
- Dominant language
- Python
- Stars
- 255
- Forks
- 38
- Avg merge
- 11h 19m
- Merged PRs (30d)
- 9
Description
I wanted to see how qLDPC (v0.1.3) interacts with GAP but failed at the first step (GAP installation using conda) :
[]((qldpc-v0.1.3) C:\test>conda install -c conda-forge gap
Channels:
- conda-forge
- defaults
Platform: win-64
Collecting package metadata (repodata.json): done
Solving environment: failed
PackagesNotFoundError: The following packages are not available from current channels:
- gap
Current channels:
- https://conda.anaconda.org/conda-forge
- https://repo.anaconda.com/pkgs/main
- https://repo.anaconda.com/pkgs/r
- https://repo.anaconda.com/pkgs/msys2
To search for alternate channels that may provide the conda package you're
looking for, navigate to
https://anaconda.org
and use the search bar at the top of the page.)
This is under Windows 10 where I have GAP installed already as a stand alone application...
I normally use conda for python only packages; so this step is new.
If there's a way to link to my existing GAP installation then that's even better...but I don't know how that's done.
(assuming I get past this step, where can I find examples where qLPDC interacts with GAP)
Contributor guide
No contributing guide indexed for this repository
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start by reviewing issue #294 and the merged pull request #391, then reproduce the reported GAP installation failure on Windows 10 with qLDPC v0.1.3. Check how the existing standalone GAP installation relates to the Python environment and identify the requested qLDPC/GAP examples. Done means a documented, working integration path and accessible examples.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- devtools
- Issue type
- Feature
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100