ipywidgets requires to be installed in requirements

.binder/requirements.txt

@@ -12,3 +12,5 @@ gudhi>=3.9.0 # Tuto-GUDHI-cover-complex.ipynb requires sklearn interfaces
 torch
 tqdm
 eagerpy
+ipywidgets
+anywidget

.github/workflows/test_notebooks.yml

@@ -4,23 +4,22 @@ on: [push, pull_request]
 
 jobs:
   build:
-
     runs-on: ubuntu-latest
     steps:
-    - uses: actions/checkout@v2
-    - name: Set up Python 3.8
-      uses: actions/setup-python@v2
-      with:
-        python-version: 3.8
-    - name: Install LaTeX support for matplotlib
-      run: |
-        sudo apt update
-        sudo apt install -y ghostscript dvipng texlive-full
-    - name: Install Python dependencies
-      run: |
-        python -m pip install --upgrade pip
-        pip install -r .binder/requirements.txt
-        pip install jupyter
-    - name: Execute notebooks
-      run: |
-        for f in *.ipynb; do echo "Processing $f file.."; time jupyter nbconvert --to notebook  --ExecutePreprocessor.timeout=600 --inplace --execute $f;done;
+      - uses: actions/checkout@v2
+      - name: Set up Python 3.11
+        uses: actions/setup-python@v2
+        with:
+          python-version: 3.11
+      - name: Install LaTeX support for matplotlib
+        run: |
+          sudo apt update
+          sudo apt install -y ghostscript dvipng texlive-full
+      - name: Install Python dependencies
+        run: |
+          python -m pip install --upgrade pip
+          pip install -r .binder/requirements.txt
+          pip install jupyter
+      - name: Execute notebooks
+        run: |
+          for f in *.ipynb; do echo "Processing $f file.."; time jupyter nbconvert --TagRemovePreprocessor.enabled=True --TagRemovePreprocessor.remove_cell_tags="['do_not_execute']" --to notebook  --ExecutePreprocessor.timeout=600 --inplace --execute $f;done;

Tuto-GUDHI-Quantization-of-persistence-diagrams.ipynb

@@ -2,7 +2,13 @@
  "cells": [
   {
    "cell_type": "markdown",
-   "metadata": {},
+   "metadata": {
+    "editable": true,
+    "slideshow": {
+     "slide_type": ""
+    },
+    "tags": []
+   },
    "source": [
     "# Quantization of (expected) Persistence Diagram"
    ]
@@ -34,23 +40,13 @@
   },
   {
    "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### Notebook global settings"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 1,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "%matplotlib inline"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
+   "metadata": {
+    "editable": true,
+    "slideshow": {
+     "slide_type": ""
+    },
+    "tags": []
+   },
    "source": [
     "## Motivation and mathematical formulation"
    ]
@@ -241,7 +237,13 @@
   {
    "cell_type": "code",
    "execution_count": 7,
-   "metadata": {},
+   "metadata": {
+    "editable": true,
+    "slideshow": {
+     "slide_type": ""
+    },
+    "tags": []
+   },
    "outputs": [],
    "source": [
     "n = len(diags)\n",
@@ -298,7 +300,7 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 3",
+   "display_name": "Python 3 (ipykernel)",
    "language": "python",
    "name": "python3"
   },
@@ -312,7 +314,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.8.2"
+   "version": "3.11.0"
   }
  },
  "nbformat": 4,