Comments (4)
Hello @joveh . The gammapy-benchmarks are designed to work with the dev version of gammapy. There is no tagged version that match a given gammapy release.
To make them run, you have to install the dev version of gammapy.
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Thanks for the quick answer.
I am a gammapy noob and just try to look at some cluster monitoring of gammapy jobs.
Could you point me to the dev version?
from gammapy-benchmarks.
You can find in the developer documentation some indication on how to fork the repository and clone your fork. See:
https://docs.gammapy.org/0.18.2/development/intro.html#get-set-up
If you don't intend to contribute for now, you can simply clone the main repository and install the environment. To do so:
git clone https://github.com/gammapy/gammapy.git
cd gammapy
conda env create -f environment-dev.yml
source activate gammapy-dev
pip install -e .
Question to @adonath @Bultako @QRemy : do you think we should keep tagged version of the benchmarks for specific releases?
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I have never thought about this. I think from our perspective it does not make sense for now, because we do not back port changes to tagged releases. However after v1.0 it could make sense to do this. So keep a benchmark / validation chain running for v1.0 the check for bug fix releases such v1.0.1 etc.
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Related Issues (8)
- Use separate true energy axis for 3D benchmarks HOT 2
- Store analysis results / debug info for benchmarks HOT 1
- Better tracking of benchmark performances
- Add validation for RADMAX_2D MAGIC data
- Update validation for v1.0rc release HOT 1
- Issues with v1.2 validation HOT 3
- Location of provenance extraction HOT 2
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