chore(backport): Update GitHub Actions and pre-commit hooks

.github/workflows/docker.yml

@@ -54,29 +54,29 @@ jobs:
           echo "created=$(date -u +'%Y-%m-%dT%H:%M:%SZ')" >> $GITHUB_OUTPUT
 
       - name: Set up QEMU
-        uses: docker/setup-qemu-action@v2
+        uses: docker/setup-qemu-action@v3
 
       - name: Set up Docker Buildx
-        uses: docker/setup-buildx-action@v2
+        uses: docker/setup-buildx-action@v3
 
       - name: Login to DockerHub
         if: github.event_name != 'pull_request'
-        uses: docker/login-action@v2
+        uses: docker/login-action@v3
         with:
           username: ${{ secrets.DOCKERHUB_USERNAME }}
           password: ${{ secrets.DOCKERHUB_TOKEN }}
 
       - name: Login to GitHub Container Registry
         if: github.event_name != 'pull_request'
-        uses: docker/login-action@v2
+        uses: docker/login-action@v3
         with:
           registry: ghcr.io
           username: ${{ github.repository_owner }}
           password: ${{ secrets.GITHUB_TOKEN }}
 
       - name: Test build
         id: docker_build_test
-        uses: docker/build-push-action@v4
+        uses: docker/build-push-action@v5
         with:
           context: .
           file: docker/Dockerfile
@@ -114,7 +114,7 @@ jobs:
         # every PR will trigger a push event on main, so check the push event is actually coming from main
         if: github.event_name == 'push' && github.ref == 'refs/heads/main' && github.repository == 'scikit-hep/pyhf'
         id: docker_build_latest
-        uses: docker/build-push-action@v4
+        uses: docker/build-push-action@v5
         with:
           context: .
           file: docker/Dockerfile
@@ -131,7 +131,7 @@ jobs:
       - name: Build and publish to registry with release tag
         if: github.event_name == 'release' && github.event.action == 'published' && github.repository == 'scikit-hep/pyhf'
         id: docker_build_release
-        uses: docker/build-push-action@v4
+        uses: docker/build-push-action@v5
         with:
           context: .
           file: docker/Dockerfile

.github/workflows/publish-package.yml

@@ -11,6 +11,9 @@ on:
     - release/v*
   release:
     types: [published]
+  # Run weekly at 1:23 UTC
+  schedule:
+  - cron:  '23 1 * * 0'
   workflow_dispatch:
     inputs:
       publish:
@@ -44,7 +47,13 @@ jobs:
         python -m pip install build twine
         python -m pip list
 
-    - name: Build a wheel and a sdist
+    - name: Build a sdist and wheel
+      if: github.event_name != 'schedule'
+      run: |
+        python -m build .
+
+    - name: Build a sdist and wheel and check for warnings
+      if: github.event_name == 'schedule'
       run: |
         PYTHONWARNINGS=error,default::DeprecationWarning python -m build .
 

.pre-commit-config.yaml

@@ -26,14 +26,14 @@ repos:
       # exclude generated files
       exclude: ^validation/|\.dtd$|\.xml$
 
--   repo: https://github.com/astral-sh/ruff-pre-commit
-    rev: "v0.0.287"
-    hooks:
+- repo: https://github.com/astral-sh/ruff-pre-commit
+  rev: "v0.0.292"
+  hooks:
     - id: ruff
       args: ["--fix", "--show-fixes"]
 
 -   repo: https://github.com/psf/black-pre-commit-mirror
-    rev: 23.7.0
+    rev: 23.9.1
     hooks:
     - id: black-jupyter
 
@@ -46,9 +46,6 @@ repos:
 -   repo: https://github.com/pre-commit/mirrors-mypy
     rev: v1.5.1
     # check the oldest and newest supported Pythons
-    # Though use Python 3.8 as the oldest Python to run mypy
-    # to avoid positional-only errors from NumPy in Python 3.11
-    # runtime.
     hooks:
       - &mypy
         id: mypy
@@ -65,11 +62,11 @@ repos:
     rev: 1.7.0
     hooks:
     - id: nbqa-ruff
-      additional_dependencies: [ruff==0.0.287]
+      additional_dependencies: [ruff==0.0.292]
       args: ["--extend-ignore=F821,F401,F841,F811"]
 
 -   repo: https://github.com/codespell-project/codespell
-    rev: v2.2.5
+    rev: v2.2.6
     hooks:
     - id: codespell
       files: ^.*\.(py|md|rst)$

docs/faq.rst

@@ -141,7 +141,7 @@ How did ``pyhf`` get started?
 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 
 In 2017 Lukas Heinrich was discussing with colleauge Holger Schulz how it would be convenient
-to share and produce statistical results from LHC experiements if they were able to be
+to share and produce statistical results from LHC experiments if they were able to be
 created with tools that didn't require the large ``C++`` dependencies and tooling expertise as
 :math:`\HiFa{}`.
 Around the same time that Lukas began thinking on these ideas, Matthew Feickert was working on

docs/governance/ROADMAP.rst

@@ -7,7 +7,7 @@ This is the pyhf 2019 into 2020 Roadmap (Issue
 Overview and Goals
 ------------------
 
-We will follow loosely Seibert’s `Heirarchy of
+We will follow loosely Seibert’s `Hierarchy of
 Needs <https://twitter.com/FRoscheck/status/1159158552298229763>`__
 
 |Seibert Hierarchy of Needs SciPy 2019| (`Stan

src/pyhf/contrib/viz/brazil.py

@@ -112,7 +112,7 @@ def plot_brazil_band(test_pois, cls_obs, cls_exp, test_size, ax, **kwargs):
         ax (:obj:`matplotlib.axes.Axes`): The matplotlib axis object to plot on.
 
     Returns:
-        :obj:`tuple`: The :obj:`matplotlib.aritst` objects drawn.
+        :obj:`tuple`: The :obj:`matplotlib.artist` objects drawn.
     """
     line_color = kwargs.pop("color", "black")
     (cls_obs_line,) = ax.plot(

src/pyhf/tensor/jax_backend.py

@@ -96,8 +96,8 @@ def clip(self, tensor_in, min_value, max_value):
 
         Args:
             tensor_in (:obj:`tensor`): The input tensor object
-            min_value (:obj:`scalar` or :obj:`tensor` or :obj:`None`): The minimum value to be cliped to
-            max_value (:obj:`scalar` or :obj:`tensor` or :obj:`None`): The maximum value to be cliped to
+            min_value (:obj:`scalar` or :obj:`tensor` or :obj:`None`): The minimum value to be clipped to
+            max_value (:obj:`scalar` or :obj:`tensor` or :obj:`None`): The maximum value to be clipped to
 
         Returns:
             JAX ndarray: A clipped `tensor`

src/pyhf/tensor/numpy_backend.py

@@ -98,8 +98,8 @@ def clip(
 
         Args:
             tensor_in (:obj:`tensor`): The input tensor object
-            min_value (:obj:`scalar` or :obj:`tensor` or :obj:`None`): The minimum value to be cliped to
-            max_value (:obj:`scalar` or :obj:`tensor` or :obj:`None`): The maximum value to be cliped to
+            min_value (:obj:`scalar` or :obj:`tensor` or :obj:`None`): The minimum value to be clipped to
+            max_value (:obj:`scalar` or :obj:`tensor` or :obj:`None`): The maximum value to be clipped to
 
         Returns:
             NumPy ndarray: A clipped `tensor`

src/pyhf/tensor/pytorch_backend.py

@@ -49,8 +49,8 @@ def clip(self, tensor_in, min_value, max_value):
 
         Args:
             tensor_in (:obj:`tensor`): The input tensor object
-            min_value (:obj:`scalar` or :obj:`tensor` or :obj:`None`): The minimum value to be cliped to
-            max_value (:obj:`scalar` or :obj:`tensor` or :obj:`None`): The maximum value to be cliped to
+            min_value (:obj:`scalar` or :obj:`tensor` or :obj:`None`): The minimum value to be clipped to
+            max_value (:obj:`scalar` or :obj:`tensor` or :obj:`None`): The maximum value to be clipped to
 
         Returns:
             PyTorch tensor: A clipped `tensor`

src/pyhf/tensor/tensorflow_backend.py

@@ -46,8 +46,8 @@ def clip(self, tensor_in, min_value, max_value):
 
         Args:
             tensor_in (:obj:`tensor`): The input tensor object
-            min_value (:obj:`scalar` or :obj:`tensor` or :obj:`None`): The minimum value to be cliped to
-            max_value (:obj:`scalar` or :obj:`tensor` or :obj:`None`): The maximum value to be cliped to
+            min_value (:obj:`scalar` or :obj:`tensor` or :obj:`None`): The minimum value to be clipped to
+            max_value (:obj:`scalar` or :obj:`tensor` or :obj:`None`): The maximum value to be clipped to
 
         Returns:
             TensorFlow Tensor: A clipped `tensor`