MAINT: update lock files (#27)

* DOC: switch to stable page for `vector` docs
* DX: convert Tox config to native TOML
* FIX: downgrade `pygments` for `sphinx-codeautolink`
* FIX: set `sphinx.configuration`
* MAINT: remove `pygments` constraint

Co-authored-by: GitHub <noreply@github.com>

.cspell.json

@@ -32,6 +32,7 @@
     ".pre-commit-config.yaml",
     ".prettierignore",
     ".readthedocs.yml",
+    ".taplo.toml",
     ".vscode/*",
     "docs/conf.py",
     "pyproject.toml"

.pre-commit-config.yaml

@@ -12,7 +12,7 @@ repos:
       - id: check-useless-excludes
 
   - repo: https://github.com/ComPWA/policy
-    rev: 0.5.8
+    rev: 0.5.15
     hooks:
       - id: check-dev-files
         args:
@@ -75,7 +75,7 @@ repos:
           )$
 
   - repo: https://github.com/astral-sh/ruff-pre-commit
-    rev: v0.8.4
+    rev: v0.9.1
     hooks:
       - id: ruff
         args: [--fix]
@@ -152,6 +152,6 @@ repos:
       - id: pyright
 
   - repo: https://github.com/astral-sh/uv-pre-commit
-    rev: 0.5.11
+    rev: 0.5.18
     hooks:
       - id: uv-lock

.readthedocs.yml

@@ -12,9 +12,11 @@ build:
       pixi run \
         uv run \
           --group doc \
-          --locked \
           --no-dev \
           --with tox \
           tox -e doc
       mkdir -p $READTHEDOCS_OUTPUT
       mv docs/_build/html $READTHEDOCS_OUTPUT
+
+sphinx:
+  configuration: docs/conf.py

.taplo.toml

@@ -15,3 +15,10 @@ compact_inline_tables = true
 indent_string = "    "
 reorder_arrays = true
 reorder_keys = true
+
+[[rule]]
+include = ["**/pyproject.toml"]
+keys = ["tool.tox"]
+
+[rule.formatting]
+reorder_arrays = false

CONTRIBUTING.md

@@ -12,7 +12,7 @@ git clone https://github.com/ComPWA/report
 cd report
 ```
 
-Now it's simply a matter of creating and activating the [virtual environment](https://docs.astral.sh/uv/pip/environments) with [`uv sync`](https://docs.astral.sh/uv/reference/cli/#uv-sync). The dependencies for the project are 'pinned' in each commit through the [`uv.lock` file](https://docs.astral.sh/uv/concepts/projects/#project-lockfile).
+Now it's simply a matter of creating and activating the [virtual environment](https://docs.astral.sh/uv/pip/environments) with [`uv sync`](https://docs.astral.sh/uv/reference/cli/#uv-sync). The dependencies for the project are 'pinned' in each commit through the [`uv.lock` file](https://docs.astral.sh/uv/concepts/projects/layout/#the-lockfile).
 
 ```shell
 uv sync --all-extras

docs/033/index.ipynb

@@ -46,7 +46,7 @@
    "metadata": {},
    "source": [
     ":::{admonition} Abstract\n",
-    "This document introduces Amplitude Analysis / Partial Wave Analysis (PWA) by demonstrating its application to a specific reaction channel and amplitude model. It aims to equip readers with a basic understanding of the full workflow and methodologies of PWA in hadron physics through a practical, hands-on example. Only basic Python programming and libraries (e.g. [`numpy`](https://numpy.org/doc/stable), [`scipy`](https://docs.scipy.org/doc/scipy), etc.) are used to illustrate the more fundamental steps in a PWA. Calculations with 4-vectors in this report are performed with the [`vector`](https://vector.readthedocs.io/en/latest/usage/intro.html) package.\n",
+    "This document introduces Amplitude Analysis / Partial Wave Analysis (PWA) by demonstrating its application to a specific reaction channel and amplitude model. It aims to equip readers with a basic understanding of the full workflow and methodologies of PWA in hadron physics through a practical, hands-on example. Only basic Python programming and libraries (e.g. [`numpy`](https://numpy.org/doc/stable), [`scipy`](https://docs.scipy.org/doc/scipy), etc.) are used to illustrate the more fundamental steps in a PWA. Calculations with 4-vectors in this report are performed with the [`vector`](https://vector.readthedocs.io/en/stable/usage/intro.html) package.\n",
     ":::"
    ]
   },
@@ -872,7 +872,7 @@
     "    - The function starts by generating an initial phase space sample. If this initial sample does not meet the required size, more samples are generated and concatenated until the requested size is reached.\n",
     "    - Once the target sample size is reached or exceeded, `remove_overflow()` trims the sample to precisely match the requested size.\n",
     "\n",
-    "- **Step 3**, Convert tensors to [four-momentum vectors](https://vector.readthedocs.io/en/latest/api/backends/vector.backends.numpy.html#vector.backends.numpy.MomentumNumpy4D) objects\n",
+    "- **Step 3**, Convert tensors to [four-momentum vectors](https://vector.readthedocs.io/en/stable/api/backends/vector.backends.numpy.html#vector.backends.numpy.MomentumNumpy4D) objects\n",
     "  The `phasespace` package generates four-momenta in the form of $4\\times N$ TensorFlow tensors, with $N$ the number of events. For each tensor in the phase space tuple (representing the momentum components like $E, p_x, p_y, p_z$), the `to_vector` function converts them into a structured `MomentumNumpy4D` array. This structured array includes keys for each momentum component and possibly the energy component and provides convenient methods for computing boosts etc.\n",
     ":::"
    ]