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# This workflow will checkout the branch of the PR, apply black formatting and commit the result to the PR. Does not work for forks. | ||
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name: Format black | ||
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on: | ||
pull_request: | ||
types: [labeled] | ||
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jobs: | ||
build: | ||
if: contains(github.event.pull_request.labels.*.name, 'format_black' ) | ||
runs-on: ubuntu-latest | ||
steps: | ||
- uses: actions/checkout@v4 | ||
with: | ||
token: ${{ secrets.DEPENDABOT_WORKFLOW_TOKEN }} | ||
ref: ${{ github.event.pull_request.head.ref }} # Check out the head of the actual branch, not the PR | ||
fetch-depth: 0 # otherwise, you will fail to push refs to dest repo | ||
- name: format black | ||
uses: psf/black@stable | ||
with: | ||
options: "" | ||
src: "./${{ github.event.repository.name }}" | ||
- name: commit | ||
run: | | ||
git config --local user.email "[email protected]" | ||
git config --local user.name "pyiron-runner" | ||
git commit -m "Format black" -a | ||
- name: push | ||
uses: ad-m/github-push-action@master | ||
with: | ||
github_token: ${{ secrets.DEPENDABOT_WORKFLOW_TOKEN }} | ||
branch: ${{ github.event.pull_request.head.ref }} |
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# This workflow is used to test, if the installation of the pypi package works | ||
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name: Pip check | ||
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on: | ||
push: | ||
branches: [ main ] | ||
pull_request: | ||
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jobs: | ||
build: | ||
runs-on: ubuntu-latest | ||
steps: | ||
- uses: actions/checkout@v4 | ||
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- name: Pip check | ||
shell: bash -l {0} | ||
run: | | ||
pip install versioneer[toml]==0.29 | ||
pip install . --no-deps --no-build-isolation | ||
pip check |
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# Dataclasses for pyiron | ||
The `pyiron_dataclasses` module provides a series of [dataclasses](https://docs.python.org/3/library/dataclasses.html) | ||
for the `pyiron` workflow framework. It can load HDF5 files created by `pyiron_atomistics` and read the content stored | ||
in those files, without depending on `pyiron_atomistics`. Furthermore, it is not fixed to a single version of | ||
`pyiron_atomistics` but rather matches multiple versions of `pyiron_atomistics` to the same API version of | ||
`pyiron_dataclasses`. | ||
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## Usage | ||
Using the `get_dataclass()` function of the built-in converter: | ||
```python | ||
from h5io_browser import read_dict_from_hdf | ||
from pyiron_dataclasses.v1.converter import get_dataclass | ||
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job_classes = get_dataclass( | ||
job_dict=read_dict_from_hdf( | ||
file_name=job.project_hdf5.file_name, | ||
h5_path="/", | ||
recursive=True, | ||
slash='ignore', | ||
)[job.job_name] | ||
) | ||
job_classes | ||
``` | ||
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## Supported Versions | ||
### Version 1 - `v1` | ||
Supported versions of `pyiron_atomistics`: | ||
* `0.6.13` | ||
* `0.6.12` |
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