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GraphVIPER

Python 3.11 3.12 3.13 Linux Tests macOS Tests ipynb Tests Coverage Documentation Status Version Status

GraphVIPER (Visibility and Image Parallel Execution Reduction) is a Dask based MapReduce package. It allows for mapping a dictionary of xarray.Datasets to Dask graph nodes followed by a reduce step.

GraphVIPER is in development and breaking API changes will happen.

The best place to start with GraphVIPER is doing the graph building tutorial.

Developer Setup

git clone git@github.com:casangi/graphviper.git
cd graphviper
pip install -e '.[all]'
pre-commit install

The pre-commit install step sets up git hooks that automatically run code formatting, linting, and import sorting (ruff; rules in [tool.ruff.lint] of pyproject.toml) and strip Jupyter notebook outputs (nbstripout) on every commit. This keeps diffs clean and prevents large binary outputs from bloating the repository. The same hooks run in CI (the pre-commit workflow), so run them locally before pushing.

If pre-commit detects and makes any changes, those files will need to be re-staged before committing. This is to allow the developer to inspect the modified file before committing.

Metadata

Release files for graphviper 0.0.53

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

Source distribution (sdist)

Source distribution for graphviper 0.0.53
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Table of built distributions (wheels) for graphviper 0.0.53
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graphviper-0.0.53-py3-none-any.whl Python 3 none any Details

Total release size: 120.0 kB

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