Skip to main content
Project generated with PyScaffold

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

Metadata

Release files for pointcyto 0.0.9

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for pointcyto 0.0.9
File Size Uploaded
pointcyto-0.0.9.tar.gz 3.8 MB Details

Built distribution (wheel)

Table of built distributions (wheels) for pointcyto 0.0.9
File Interpreter ABI Platform
pointcyto-0.0.9-py3-none-any.whl Python 3 none any Details

Total release size: 3.9 MB

Release files / pointcyto-0.0.9.tar.gz

Download URL pointcyto-0.0.9.tar.gz
Size 3.8 MB
Tags Source
SHA-256 checksum
How to use checksums
6f4770a1a509e9c7bb17bcf16658c73e51185c890b329b93332d751dba0964ea
BLAKE2b-256 checksum
How to use checksums
77d14e3199c0ff90d68b055aa83ed3d560035d2e21433b0a9142859750b5ecf7
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.2 CPython/3.10.13

Release files / pointcyto-0.0.9-py3-none-any.whl

Download URL pointcyto-0.0.9-py3-none-any.whl
Size 57.1 kB
Tags Python 3
SHA-256 checksum
How to use checksums
d3e7e711af97ddf04df9f2269afebc5b1a248cd96f37a8ed1697b15d05c27fda
BLAKE2b-256 checksum
How to use checksums
a3e3c955952767680ddfc70f71dc149d11d35e2050b8ae691fad0fbb93f0d75f
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.2 CPython/3.10.13

Release history Release notifications | RSS feed

This release

0.0.9 This release

2 release files

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page