Add a short description here!
Project description
pointcyto
Cytometry data as point cloud representation for use with pytorch and pytorch_geometric.
A longer description of your project goes here…
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
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file pointcyto-0.0.9.tar.gz.
File metadata
- Download URL: pointcyto-0.0.9.tar.gz
- Upload date:
- Size: 3.8 MB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.10.13
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
6f4770a1a509e9c7bb17bcf16658c73e51185c890b329b93332d751dba0964ea
|
|
| MD5 |
c890eeaf79e0d54d60fe7ed9dc9950b1
|
|
| BLAKE2b-256 |
77d14e3199c0ff90d68b055aa83ed3d560035d2e21433b0a9142859750b5ecf7
|
File details
Details for the file pointcyto-0.0.9-py3-none-any.whl.
File metadata
- Download URL: pointcyto-0.0.9-py3-none-any.whl
- Upload date:
- Size: 57.1 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.10.13
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
d3e7e711af97ddf04df9f2269afebc5b1a248cd96f37a8ed1697b15d05c27fda
|
|
| MD5 |
33bd985b5179fd5507fcce10fddaac29
|
|
| BLAKE2b-256 |
a3e3c955952767680ddfc70f71dc149d11d35e2050b8ae691fad0fbb93f0d75f
|