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🚧 fix ci runs (mamba and numpy related) (#81)
* 🚧 switch mamba installation - see if snakemake envs are somehow cached * 🐛 specify python version, move ls * 🚧 deactivate some workflow, run relatvie ls command * try not to cache * 🚧 test using venv created by codespace with python 3.12 - might be that I need to create (not sure what change in runner configurations) * try to use full snakemake installation * 🚧 use miniconda for pypi installation test * try miniconda again - snakemake environment has it's own mamba installation - auto-activate environment "test" * install build dependencies, fix ubuntu first * 🐛 try to put mamba below 2.0 snakemake/snakemake#3108 * test should be activate per default * 🚧 conda env not activated... * 🐛 pip does not install in environment * 🚧 experiment * 🐛 shell was not iniated * 🐛 test installing njab separately * 🐛 order matters! * try again new order, add umap-learn explicitly * 🐛 do not re-install njab * restrict scipy (trapz missing in lifelines) latest scipy not supported by lifelines * 🐛 exclude numpy 2.0 for now * numpy try two * swap numpy and njab, adapt other pkg to what it was before * add back umap learn, relax constraints * 🚧 in package single requirement single packages cannot be specified to just ignore the dependencies. * ➖ remove scipy dependency - leave it to njab to install dependencies in a second step. * ⬆️ remove support for python 3.8 (end-of-life) * 🎨 setuptools_scm uses tags to determine version, add tags * 🐛 tags not fetched without entire history see actions/checkout#1471 * 🎨 clean-up workflow file * ✨ add njab after update to requirements - enable again more workflows (using mamba constraint snakemake environement) * 🔥 remove comments, ⏪ add back tests * 🐛 make order explicit (by feat freq or bin and bin count) * 🐛 fix order of example more explicitly. * 🐛 actually test latest version of pimms, remove comments * 🐛 runs natively in colab without issues
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