MAINT: autoupdate pre-commit hooks

.github/workflows/clean-caches.yml

@@ -0,0 +1,22 @@
+name: Clean caches
+
+on:
+  pull_request:
+    types:
+      - closed
+  workflow_dispatch:
+    inputs:
+      ref:
+        description: Clean caches for this branch name or ref
+        required: false
+        type: string
+
+jobs:
+  cleanup:
+    name: Remove caches
+    runs-on: ubuntu-22.04
+    steps:
+      - uses: ComPWA/actions/clean-caches@v1
+        with:
+          GH_TOKEN: ${{ secrets.GITHUB_TOKEN }}
+          ref: ${{ inputs.ref }}

.github/workflows/pr-linting.yml

@@ -0,0 +1,33 @@
+name: PR linting
+on:
+  pull_request:
+    types:
+      - edited
+      - labeled
+      - opened
+      - reopened
+      - synchronize
+      - unlabeled
+
+jobs:
+  check-labels:
+    name: Check labels
+    runs-on: ubuntu-22.04
+    steps:
+      - uses: docker://agilepathway/pull-request-label-checker:latest # cspell:ignore agilepathway
+        with:
+          any_of: >-
+            🐛 Bug,✨ Feature,⚙️ Enhancement,⚠️ Interface,❗ Behavior,📝 Docs,🔨 Maintenance,🖱️ DX
+          none_of: Epic,💫 Good first issue
+          repo_token: ${{ secrets.GITHUB_TOKEN }}
+
+  check-title:
+    name: Check title
+    runs-on: ubuntu-22.04
+    steps:
+      - uses: actions/checkout@v4
+      - run: npm install @compwa/commitlint-config
+      - name: Create commitlint config
+        run: |
+          echo "module.exports = {extends: ['@compwa/commitlint-config']}" > commitlint.config.js
+      - uses: JulienKode/[email protected] # cspell:ignore kode

.pre-commit-config.yaml

@@ -5,7 +5,7 @@ repos:
       - id: check-useless-excludes
 
   - repo: https://github.com/pre-commit/pre-commit-hooks
-    rev: v4.4.0
+    rev: v4.5.0
     hooks:
       - id: check-case-conflict
       - id: check-json
@@ -14,15 +14,43 @@ repos:
       - id: mixed-line-ending
       - id: trailing-whitespace
 
+  - repo: https://github.com/psf/black
+    rev: 23.9.1
+    hooks:
+      - id: black-jupyter
+        args: [--line-length=85]
+        types_or: [jupyter]
+
+  - repo: https://github.com/ComPWA/repo-maintenance
+    rev: 0.1.0
+    hooks:
+      - id: check-dev-files
+        args:
+          - --ignore-author
+          - --no-github-actions
+          - --no-gitpod
+          - --no-prettierrc
+          - --no-python
+          - --no-ruff
+          - --no-version-branches
+          - --repo-name=strong2020-salamanca
+      - id: colab-toc-visible
+
   - repo: https://github.com/nbQA-dev/nbQA
     rev: 1.7.0
     hooks:
-      - id: nbqa-black
       - id: nbqa-flake8
       - id: nbqa-isort
       - id: nbqa-pyupgrade
         args: [--py37-plus]
 
+  - repo: https://github.com/editorconfig-checker/editorconfig-checker.python
+    rev: 2.7.2
+    hooks:
+      - id: editorconfig-checker
+        name: editorconfig
+        alias: ec
+
   - repo: https://github.com/kynan/nbstripout
     rev: 0.6.1
     hooks:
@@ -31,16 +59,13 @@ repos:
           - --extra-keys
           - |
             cell.attachments
-            cell.id
             cell.metadata.code_folding
-            cell.metadata.colab
-            cell.metadata.editable
-            cell.metadata.executionInfo
             cell.metadata.id
-            cell.metadata.outputId
+            cell.metadata.pycharm
             cell.metadata.user_expressions
             metadata.celltoolbar
-            metadata.colab
+            metadata.colab.name
+            metadata.colab.provenance
             metadata.interpreter
             metadata.notify_time
             metadata.toc

.vscode/extensions.json

@@ -4,6 +4,7 @@
     "editorconfig.editorconfig",
     "esbenp.prettier-vscode",
     "executablebookproject.myst-highlight",
+    "garaioag.garaio-vscode-unwanted-recommendations",
     "github.vscode-github-actions",
     "github.vscode-pull-request-github",
     "mhutchie.git-graph",
@@ -12,7 +13,13 @@
     "ms-toolsai.vscode-jupyter-cell-tags",
     "ms-toolsai.vscode-jupyter-slideshow",
     "ms-vscode.live-server",
+    "stkb.rewrap",
     "tyriar.sort-lines",
     "yzhang.markdown-all-in-one"
+  ],
+  "unwantedRecommendations": [
+    "davidanson.vscode-markdownlint",
+    "ms-python.mypy-type-checker",
+    "travisillig.vscode-json-stable-stringify"
   ]
 }

.vscode/settings.json

@@ -1,3 +1,10 @@
 {
-  "editor.formatOnSave": true
+  "[git-commit]": {
+    "editor.rulers": [72],
+    "rewrap.wrappingColumn": 72
+  },
+  "editor.formatOnSave": true,
+  "livePreview.defaultPreviewPath": "docs/_build/html",
+  "notebook.gotoSymbols.showAllSymbols": true,
+  "rewrap.wrappingColumn": 88
 }

README.md

@@ -1,5 +1,6 @@
 # STRONG2020 HaSP School
 
+[![code style: prettier](https://img.shields.io/badge/code_style-prettier-ff69b4.svg?style=flat-square)](https://github.com/prettier/prettier)
 [![Google Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/ComPWA/strong2020-salamanca/blob/main)
 [![GitHub Pages](https://github.com/ComPWA/strong2020-salamanca/actions/workflows/docs.yml/badge.svg)](https://github.com/ComPWA/strong2020-salamanca/actions/workflows/docs.yml)
 
@@ -13,7 +14,7 @@ This (unofficial) repository contains the exercises for the [STRONG2020 HaSP Sch
 
    ```shell
    conda env create
-   conda activate strong2020
+   conda activate strong2020-salamanca
    ```
 
 3. Run notebooks in [Jupyter Lab](https://jupyter.org):

docs/lecture02.ipynb

@@ -543,6 +543,9 @@
   }
  ],
  "metadata": {
+  "colab": {
+   "toc_visible": true
+  },
   "kernelspec": {
    "display_name": "Python 3 (ipykernel)",
    "language": "python",

docs/lecture06-gammap.ipynb

@@ -667,7 +667,9 @@
     "fig = plt.figure()\n",
     "x_hist_2 = np.linspace(np.min(x_hist), np.max(x_hist), 100)\n",
     "# this plots the curve only\n",
-    "plt.plot(x_hist_2, gaus(x_hist_2, *param_optimised), color=\"red\", label=\"Gaussian fit\")\n",
+    "plt.plot(\n",
+    "    x_hist_2, gaus(x_hist_2, *param_optimised), color=\"red\", label=\"Gaussian fit\"\n",
+    ")\n",
     "plt.legend()\n",
     "\n",
     "# plot the experimental point of the portion of spectrum to be fitted\n",
@@ -779,7 +781,9 @@
     "fig = plt.figure()\n",
     "x_hist_2 = np.linspace(np.min(x_hist), np.max(x_hist), 100)\n",
     "# this plots the curve only\n",
-    "plt.plot(x_hist_2, gaus(x_hist_2, *param_optimised), color=\"red\", label=\"Gaussian fit\")\n",
+    "plt.plot(\n",
+    "    x_hist_2, gaus(x_hist_2, *param_optimised), color=\"red\", label=\"Gaussian fit\"\n",
+    ")\n",
     "plt.legend()\n",
     "\n",
     "# plot the experimental point of the portion of spectrum to be fitted\n",
@@ -914,7 +918,10 @@
     "x_hist_2 = np.linspace(np.min(x_hist), np.max(x_hist), 100)\n",
     "# this plots the curve only\n",
     "ax[0].plot(\n",
-    "    x_hist_2, gausAndBCK(x_hist_2, *param_optimised), color=\"red\", label=\"Gaussian fit\"\n",
+    "    x_hist_2,\n",
+    "    gausAndBCK(x_hist_2, *param_optimised),\n",
+    "    color=\"red\",\n",
+    "    label=\"Gaussian fit\",\n",
     ")\n",
     "ax[0].plot(x_hist_2, gaus(x_hist_2, *param_optimised_gauss), color=\"cyan\")\n",
     "ax[0].plot(x_hist_2, BCK(x_hist_2, *param_optimised_bck), color=\"magenta\")\n",
@@ -979,7 +986,9 @@
     "# normalize the histogram to 1\n",
     "low_edge = 0.8\n",
     "up_edge = 1.0\n",
-    "hist, bin_edges = np.histogram(missingMomentumDipion.m2, 100, range=(low_edge, up_edge))\n",
+    "hist, bin_edges = np.histogram(\n",
+    "    missingMomentumDipion.m2, 100, range=(low_edge, up_edge)\n",
+    ")\n",
     "integral_hist = np.sum(hist)\n",
     "hist = hist / integral_hist\n",
     "\n",
@@ -1043,7 +1052,10 @@
     "x_hist_2 = np.linspace(np.min(x_hist), np.max(x_hist), 100)\n",
     "# this plots the curve only\n",
     "ax[0].plot(\n",
-    "    x_hist_2, gausAndBCK(x_hist_2, *param_optimised), color=\"red\", label=\"Gaussian fit\"\n",
+    "    x_hist_2,\n",
+    "    gausAndBCK(x_hist_2, *param_optimised),\n",
+    "    color=\"red\",\n",
+    "    label=\"Gaussian fit\",\n",
     ")\n",
     "ax[0].plot(x_hist_2, gaus(x_hist_2, *param_optimised_gauss), color=\"cyan\")\n",
     "ax[0].plot(x_hist_2, BCK(x_hist_2, *param_optimised_bck), color=\"magenta\")\n",
@@ -1081,6 +1093,9 @@
   }
  ],
  "metadata": {
+  "colab": {
+   "toc_visible": true
+  },
   "kernelspec": {
    "display_name": "Python 3 (ipykernel)",
    "language": "python",

docs/lecture06-nbarp.ipynb

@@ -455,13 +455,21 @@
    "outputs": [],
    "source": [
     "fig, ax = plt.subplots(1, 2, tight_layout=True, figsize=(7, 4))\n",
-    "ax[0].hist2d(invariant_massSquared13mc, invariant_massSquared12mc, bins=100, cmap=\"jet\")\n",
-    "ax[0].hist2d(invariant_massSquared23mc, invariant_massSquared12mc, bins=100, cmap=\"jet\")\n",
+    "ax[0].hist2d(\n",
+    "    invariant_massSquared13mc, invariant_massSquared12mc, bins=100, cmap=\"jet\"\n",
+    ")\n",
+    "ax[0].hist2d(\n",
+    "    invariant_massSquared23mc, invariant_massSquared12mc, bins=100, cmap=\"jet\"\n",
+    ")\n",
     "# ax[0].colorbar()\n",
     "ax[0].set_xlabel(R\"i.m.$^2(\\pi^+_{(1,2)}\\pi^-_{3}$) [GeV$^2$]\")\n",
     "ax[0].set_ylabel(R\"i.m.$^2(\\pi^+\\pi^+$) [GeV$^2$]\")\n",
-    "ax[1].hist2d(invariant_massSquared13mc, invariant_massSquared23mc, bins=100, cmap=\"jet\")\n",
-    "ax[1].hist2d(invariant_massSquared23mc, invariant_massSquared13mc, bins=100, cmap=\"jet\")\n",
+    "ax[1].hist2d(\n",
+    "    invariant_massSquared13mc, invariant_massSquared23mc, bins=100, cmap=\"jet\"\n",
+    ")\n",
+    "ax[1].hist2d(\n",
+    "    invariant_massSquared23mc, invariant_massSquared13mc, bins=100, cmap=\"jet\"\n",
+    ")\n",
     "ax[1].set_xlabel(R\"i.m.$^2(\\pi^+_1\\pi^-$) [GeV$^2$]\")\n",
     "ax[1].set_ylabel(R\"i.m.$^2(\\pi^+_2\\pi^-$) [GeV$^2$]\")\n",
     "plt.show()"
@@ -627,6 +635,9 @@
   }
  ],
  "metadata": {
+  "colab": {
+   "toc_visible": true
+  },
   "kernelspec": {
    "display_name": "Python 3 (ipykernel)",
    "language": "python",

docs/lecture09.ipynb

@@ -2456,7 +2456,8 @@
     "def like(param):\n",
     "    a, b = param\n",
     "    return sum(\n",
-    "        2 * (func(x, a, b) - y * np.log(func(x, a, b))) for x, y in zip(data_x, data_y)\n",
+    "        2 * (func(x, a, b) - y * np.log(func(x, a, b)))\n",
+    "        for x, y in zip(data_x, data_y)\n",
     "    )"
    ]
   },
@@ -3217,6 +3218,9 @@
   }
  ],
  "metadata": {
+  "colab": {
+   "toc_visible": true
+  },
   "kernelspec": {
    "display_name": "Python 3 (ipykernel)",
    "language": "python",