GraphVIPER
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.
5 maintainers
Metadata
5 maintainers
Release files for graphviper 0.0.57
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| File | Size | Uploaded | Provenance | Actions |
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| File | Interpreter | ABI | Platform | Actions Reset |
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| graphviper-0.0.57-py3-none-any.whl | Python 3 | none | any | Details for graphviper-0.0.57-py3-none-any.whl |
Total release size: 125.2 kB
Release files / graphviper-0.0.57.tar.gz
| Download URL | graphviper-0.0.57.tar.gz |
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| Size | 76.1 kB |
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| Download URL | graphviper-0.0.57-py3-none-any.whl |
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| Size | 49.1 kB |
| Tags | Python 3 |
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