Upgrade nbdime for jupyterlab 4

.github/workflows/tests.yml

@@ -33,7 +33,7 @@ jobs:
     runs-on: ubuntu-latest
 
     steps:
-    - uses: actions/checkout@v2
+    - uses: actions/checkout@v3
     - name: Set up Python
       uses: actions/setup-python@v1
       with:
@@ -79,22 +79,20 @@ jobs:
     strategy:
       max-parallel: 4
       matrix:
-        python-version: ['3.7', '3.8', '3.9', '3.10', '3.11']
+        python-version: ['3.8', '3.9', '3.10', '3.11']
         os: [ubuntu-latest]
         include:
           - python-version: '3.11'
             jupyter_server-version: '<2'
           - python-version: '3.11'
             jupyter_server-version: '>=2'
-          - python-version: '3.7'
-            os: windows-latest
           - python-version: '3.11'
             os: windows-latest
 
     steps:
-    - uses: actions/checkout@v2
+    - uses: actions/checkout@v3
     - name: Set up Python ${{ matrix.python-version }}
-      uses: actions/setup-python@v1
+      uses: actions/setup-python@v2
       with:
         python-version: ${{ matrix.python-version }}
     - uses: actions/cache@v1

.gitignore

@@ -12,6 +12,7 @@ MANIFEST
 .cache
 .pytest_cache
 .idea
+.yarn
 
 
 .spyderproject
@@ -28,3 +29,4 @@ nbdime/webapp/static/**
 *.tsbuildinfo
 packages/webapp/webpack-stats.json
 nbdime/labextension/
+ui-tests/playwright-report/

examples/example1/center.ipynb

@@ -0,0 +1,38 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "44a9ad96-674a-49e5-94ee-9d84f386ecbc",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "\n",
+    "a = np.arange(15).reshape(3, 5)\n",
+    "b = np.arange(5)\n",
+    "c = a + b"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.11.3"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}

examples/example1/left.ipynb

@@ -0,0 +1,39 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "44a9ad96-674a-49e5-94ee-9d84f386ecbc",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import numpy\n",
+    "\n",
+    "a = np.arange(15).reshape(3, 5)\n",
+    "b = np.arange(5)\n",
+    "c = a + b"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.11.3"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}

examples/example1/right.ipynb

@@ -0,0 +1,41 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "44a9ad96-674a-49e5-94ee-9d84f386ecbc",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import numpy\n",
+    "\n",
+    "a = np.arange(15).reshape(3, 5)\n",
+    "b = np.array([1, 3, 5, 4, 2])\n",
+    "c = a + b\n",
+    "\n",
+    "d = a - b"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.11.3"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}

examples/example10/center.ipynb

@@ -0,0 +1,56 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "eabfe4e0-d646-4d09-95a4-09ee3d030db6",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import numpy as np\n",
+    "import matplotlib.pyplot as plt\n",
+    "\n",
+    "def gaussian(x, a, b, c):\n",
+    "    #calculate a gaussian\n",
+    "    return a * np.exp(-b * (x-c)**2)\n",
+    "\n",
+    "def sinus ():\n",
+    "    # Here you can see a sinus function\n",
+    "    nx = 100\n",
+    "    x = np.linspace(-5.0, 5.0, nx)\n",
+    "    y = np.sin(x)\n",
+    "    return x, y\n",
+    "\n",
+    "def noisy_gaussian():\n",
+    "    # gaussian array y in interval -5 <= x <= 5\n",
+    "    nx = 100\n",
+    "    x = np.linspace(-5.0, 5.0, nx)\n",
+    "    y = gaussian(x, a=2.0, b=0.5, c=1.5)\n",
+    "    noise = np.random.normal(0.0, 0.2, nx)\n",
+    "    y += noise\n",
+    "    return x, y"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.11.3"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}

examples/example10/left.ipynb

@@ -0,0 +1,53 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "2d47bfe2-d91d-4f72-9426-1885c4edb5a9",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import numpy as np\n",
+    "import matplotlib.pyplot as plt\n",
+    "%matplotlib inline\n",
+    "%this is a comment\n",
+    "% more more comments\n",
+    "\n",
+    "def gaussian(x, a, b, c):\n",
+    "    return a * np.exp(-b * (x-c)**2)\n",
+    "    % here a comment\n",
+    "    % second line of comment\n",
+    "\n",
+    "def noisy_gaussian():\n",
+    "    # gaussian array y in interval -5 <= x <= 5\n",
+    "    nx = 100\n",
+    "    x = np.linspace(-5.0, 5.0, nx)\n",
+    "    y = gaussian(x, a=2.0, b=0.5, c=1.5)\n",
+    "    noise = np.random.normal(0.0, 0.2, nx)\n",
+    "    y += noise\n",
+    "    return x, y"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.11.3"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}

examples/example10/right.ipynb

@@ -0,0 +1,50 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "ff160690-22c8-48f3-9b89-d78a8997baec",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import numpy as np\n",
+    "import matplotlib.pyplot as plt\n",
+    "\n",
+    "def gaussian(x, a, b, c):\n",
+    "    return a * np.exp(-b * (x-c)**2)\n",
+    "\n",
+    "def noisy_gaussian():\n",
+    "    # gaussian array y in interval -5 <= x <= 5\n",
+    "    nx = 100\n",
+    "    x = np.linspace(-5.0, 5.0, nx)\n",
+    "    y = gaussian(x, a=2.0, b=0.5, c=1.5)\n",
+    "    noise = np.random.normal(0.0, 0.2, nx)\n",
+    "    y += noise\n",
+    "    # add a line\n",
+    "    # add a second line\n",
+    "    return x, y"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.11.3"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}

examples/example2/center.ipynb

@@ -0,0 +1,39 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "eabfe4e0-d646-4d09-95a4-09ee3d030db6",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from matplotlib import pyplot as plt\n",
+    "import numpy as np\n",
+    "x = np.arange(0, 2, 0.1)\n",
+    "y1 = np.exp(x)\n",
+    "plt.plot(x, y1, 'b')"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.11.3"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}