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ci: ⬆️ pre-commit autoupdate (#1355)
* [pre-commit.ci] pre-commit autoupdate updates: - [github.com/PyCQA/pylint: v3.2.2 β†’ v3.2.3](pylint-dev/pylint@v3.2.2...v3.2.3) - [github.com/asottile/pyupgrade: v3.15.2 β†’ v3.16.0](asottile/pyupgrade@v3.15.2...v3.16.0) * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * docs: 🚨 Applied new linting - docs: 🚨 Linting the old `changelog` according to the new prettier standard - docs: 🚨 Linting `statistics` according to the new prettier standard * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * ci: πŸš‘ Temporarily disable pre-commit in python-ci.yml --------- Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> Co-authored-by: Anselm Hahn <[email protected]>
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β€Ž.github/workflows/python-ci.yml

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pre-commit run --all-files --color=always
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build:
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name: Python ${{ matrix.python-version }} - ${{ matrix.os }} - ${{ matrix.arch }} - ${{ github.event_name }}
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needs: pre-commit
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# Temporary fix for pre-commit
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# needs: pre-commit
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runs-on: ${{ matrix.os }}
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strategy:
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fail-fast: false

β€Ž.pre-commit-config.yaml

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- id: pydocstyle
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additional_dependencies: [toml>=0.10.2]
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- repo: https://github.com/PyCQA/pylint
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rev: "v3.2.2"
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rev: "v3.2.3"
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hooks:
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- id: pylint
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additional_dependencies: [toml>=0.10.2, numpy>=1.23.4, pydantic>=2.1]
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files: '\.(md|js|css)$'
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args: [--prose-wrap=always]
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- repo: https://github.com/asottile/pyupgrade
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rev: v3.15.2
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rev: v3.16.0
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hooks:
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- id: pyupgrade
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args: [--py38-plus]

β€Ždocs/changelogs/v0.x.x.md

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---
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- Introduced smaller enhancement:
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- Printout of the fit parameters in the output file: True/False &#8594; [0, 1,
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2]
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- Printout of the fit parameters in the output file: True/False &#8594; [0,
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1, 2]
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- Keyword check for `SpectraFit`
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- Fix smaller bugs:
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- `Pseudo-Voigt` power factor from 0.25 &#8594; 0.2

β€Ždocs/doc/statistics.md

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[24]: https://jupyter.org/
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[^1]: requires a strictly postive `y_true` and `y_pred` array
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[^2]: requires `sklearn >= 1.1.2`

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