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chore: [pre-commit.ci] pre-commit autoupdate #2568

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chore: [pre-commit.ci] pre-commit autoupdate #2568

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11fb5c5
chore: [pre-commit.ci] pre-commit autoupdate
pre-commit-ci[bot] Feb 3, 2025
f606fac
[pre-commit.ci] auto fixes from pre-commit.com hooks
pre-commit-ci[bot] Feb 3, 2025
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10 changes: 5 additions & 5 deletions .pre-commit-config.yaml
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Expand Up @@ -35,13 +35,13 @@ repos:
- id: rst-inline-touching-normal

- repo: https://github.com/astral-sh/ruff-pre-commit
rev: "v0.8.1"
rev: "v0.9.4"
hooks:
- id: ruff
args: ["--fix", "--show-fixes"]

- repo: https://github.com/psf/black-pre-commit-mirror
rev: 24.10.0
rev: 25.1.0
hooks:
- id: black-jupyter
types_or: [python, pyi, jupyter]
Expand All @@ -53,7 +53,7 @@ repos:
additional_dependencies: [black==24.10.0]

- repo: https://github.com/pre-commit/mirrors-mypy
rev: v1.13.0
rev: v1.14.1
# check the oldest and newest supported Pythons
hooks:
- &mypy
Expand All @@ -68,14 +68,14 @@ repos:
args: ["--python-version=3.12"]

- repo: https://github.com/codespell-project/codespell
rev: v2.3.0
rev: v2.4.1
hooks:
- id: codespell
files: ^.*\.(py|md|rst)$
args: ["-w", "-L", "hist,gaus"]

- repo: https://github.com/python-jsonschema/check-jsonschema
rev: 0.30.0
rev: 0.31.1
hooks:
- id: check-readthedocs
args: ["--verbose"]
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2 changes: 1 addition & 1 deletion docs/development.rst
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Expand Up @@ -255,7 +255,7 @@ final deployment to PyPI_ can be done by creating a GitHub Release:
#. Select the release tag that was just pushed, and set the release title to be the tag
(e.g. ``v1.2.3``).
#. Use the "Auto-generate release notes" button to generate a skeleton of the release
notes and then augment them with the preprepared release notes the release maintainer
notes and then augment them with the prepared release notes the release maintainer
has written.
#. Select "This is a pre-release" if the release is a release candidate.
#. Select "Create a discussion for this release" if the release is a stable release.
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2 changes: 1 addition & 1 deletion docs/likelihood.rst
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Expand Up @@ -115,7 +115,7 @@ constraint terms are derived implicitly as each type of modifier
unambiguously defines the constraint terms it requires. Correlated shape
modifiers and normalisation uncertainties have compatible constraint
terms and thus modifiers can be declared that *share* parameters by
re-using a name [1]_ for multiple modifiers. That is, a variation of a
reusing a name [1]_ for multiple modifiers. That is, a variation of a
single parameter causes a shift within sample rates due to both shape
and normalisation variations.

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