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Project description
pointcyto
Cytometry data as point cloud representation for use with pytorch and pytorch_geometric.
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Package setup
This project has been set up using PyScaffold 4.5. For details and usage information on PyScaffold see https://pyscaffold.org/.
pip install pyscaffold
putup pointcyto
cd pointcyto
# Create pointcyto within gitlab, without README
git branch -m master main
git remote add origin git@git.uni-regensburg.de:ggrlab/pointcyto.git
git push --set-upstream origin --all
git push --set-upstream origin --tags
conda create -y -n conda_pointcyto python=3.10
conda activate conda_pointcyto
# Select conda_nbnode as default python interpreter in VsCode
# select a single python file, then on the bottom right, the current python interpreter name
# pops up. Click on it and select the "conda_nbnode" interpreter.
# Make sure that the correct pip is used:
# Something like: /home/gugl/.conda_envs/conda_pointcyto/bin/pip
which pip
pip install tox
tox --help
# Have a clean git, then add "gitlab-CI" with pyscaffold
putup --update . --gitlab
putup --update . --github
# Add pre-commit hooks
pip install pre-commit
pre-commit autoupdate
# Documentation
# To use gitlab-pages, you need to place the created htmls in the "public/" directory
# as artifact within the gitlab-ci.yml file.
# Right now, it is created within: .gitlab-ci.yml//docs
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