edit showcase notebook

environment.yml

@@ -7,6 +7,7 @@ dependencies:
   # Jupyter notebook, -lab, and plugins
   - jupyter
   - jupyterlab
+  - jupyterlab-deck
   # Scientific stack
   - matplotlib
   - numpy

source/Showcase/showcase.ipynb

@@ -6,7 +6,19 @@
    "metadata": {
     "jupyter": {
      "outputs_hidden": true
-    }
+    },
+    "nbgrader": {
+     "grade": false,
+     "grade_id": "cell-25b0524e59662f1b",
+     "locked": true,
+     "schema_version": 3,
+     "solution": false,
+     "task": false
+    },
+    "slideshow": {
+     "slide_type": "slide"
+    },
+    "tags": []
    },
    "source": [
     "# Showcase of nbgrader Features"
@@ -15,7 +27,20 @@
   {
    "cell_type": "markdown",
    "id": "fd8395f8-7c55-4ff3-9f65-305fb14c6c87",
-   "metadata": {},
+   "metadata": {
+    "nbgrader": {
+     "grade": false,
+     "grade_id": "cell-1439f3c0b51560ec",
+     "locked": true,
+     "schema_version": 3,
+     "solution": false,
+     "task": false
+    },
+    "slideshow": {
+     "slide_type": "slide"
+    },
+    "tags": []
+   },
    "source": [
     "## Read-Only Cells"
    ]
@@ -24,48 +49,143 @@
    "cell_type": "code",
    "execution_count": null,
    "id": "317bf900-a253-427c-b462-f46906223f16",
-   "metadata": {},
+   "metadata": {
+    "nbgrader": {
+     "grade": false,
+     "grade_id": "cell-71c74b9043ed9fef",
+     "locked": true,
+     "schema_version": 3,
+     "solution": false,
+     "task": false
+    },
+    "slideshow": {
+     "slide_type": "fragment"
+    },
+    "tags": []
+   },
    "outputs": [],
-   "source": []
+   "source": [
+    "import jupyterquiz"
+   ]
   },
   {
    "cell_type": "markdown",
    "id": "2c76fb6c-c223-4378-8bb8-e93dc7598942",
-   "metadata": {},
+   "metadata": {
+    "nbgrader": {
+     "grade": false,
+     "grade_id": "cell-b7434118bcc90455",
+     "locked": true,
+     "schema_version": 3,
+     "solution": false,
+     "task": false
+    },
+    "slideshow": {
+     "slide_type": "slide"
+    },
+    "tags": []
+   },
    "source": [
     "## Manually graded cells"
    ]
   },
   {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "a9bc8ade-2bd7-4d2a-a517-b6aee50fc49c",
-   "metadata": {},
-   "outputs": [],
-   "source": []
+   "cell_type": "markdown",
+   "id": "9bb543ea-7672-48f5-b61c-131c9360a93d",
+   "metadata": {
+    "nbgrader": {
+     "grade": false,
+     "grade_id": "cell-129cf502b2aedc2a",
+     "locked": true,
+     "schema_version": 3,
+     "solution": false,
+     "task": false
+    },
+    "slideshow": {
+     "slide_type": "slide"
+    },
+    "tags": []
+   },
+   "source": [
+    "Two options for manually graded cells:\n",
+    "  * set a read-only task to be done elsewhere\n",
+    "  * provide space for an answer\n",
+    "  * both options can be markdown or code cells"
+   ]
   },
   {
    "cell_type": "markdown",
    "id": "1011509a-9018-4bcb-9bd6-ab28746312c0",
-   "metadata": {},
+   "metadata": {
+    "nbgrader": {
+     "grade": false,
+     "grade_id": "cell-d93e59d2d06c7c1c",
+     "locked": true,
+     "schema_version": 3,
+     "solution": false,
+     "task": false
+    },
+    "tags": []
+   },
    "source": [
     "## Automatically graded cells"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 2,
    "id": "859cec0c-0ed2-48e0-8e3b-a5354b517652",
-   "metadata": {},
+   "metadata": {
+    "nbgrader": {
+     "grade": false,
+     "grade_id": "cell-2c76f686a2e2422f",
+     "locked": false,
+     "schema_version": 3,
+     "solution": true,
+     "task": false
+    },
+    "tags": []
+   },
    "outputs": [],
-   "source": []
+   "source": [
+    "# This is an autograded cell\n",
+    "\n",
+    "### BEGIN SOLUTION\n",
+    "\n",
+    "def fib(n):\n",
+    "    \"\"\"calculate the n-th fibonacci number.\"\"\"\n",
+    "    return 1 if 0 <= n <= 1 else fib(n-1) + fib(n-2)\n",
+    "\n",
+    "### END SOLUTION"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "id": "0e9bbfd5-94f1-4b85-94d5-29151a89963c",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "# This test is visible\n",
+    "assert fib(0) == 1\n",
+    "\n",
+    "# This is an autotest. It will evaluate using the solution\n",
+    "### AUTOTEST fib(1)\n",
+    "\n",
+    "### BEGIN HIDDEN TESTS\n",
+    "# These tests are hidden. Students won't see them.\n",
+    "\n",
+    "### END HIDDEN TESTS"
+   ]
   },
   {
    "cell_type": "markdown",
    "id": "977d17b7-9643-42d1-9eb8-5c657a76fa9e",
    "metadata": {},
    "source": [
-    "## Quizzes"
+    "## Quizzes (thanks to jupyterquiz)"
    ]
   },
   {
@@ -84,6 +204,9 @@
     "tags": []
    },
    "source": [
+    "* Quizzes are converted to json and embedded as spans\n",
+    "* the converted version is \"invisible\"\n",
+    "\n",
     "#### Quiz\n",
     "* (SC) What are ungraded quizzes good for?\n",
     "  + This\n",
@@ -94,11 +217,27 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "id": "49d89943-fcd2-49b8-850c-886b73075a8a",
-   "metadata": {},
-   "outputs": [],
-   "source": []
+   "execution_count": 4,
+   "id": "b7e97aee-911e-448a-be5a-0ab4a7f71ab2",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [
+    {
+     "ename": "NameError",
+     "evalue": "name 'jupyterquiz' is not defined",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
+      "\u001b[0;31mNameError\u001b[0m                                 Traceback (most recent call last)",
+      "Cell \u001b[0;32mIn[4], line 1\u001b[0m\n\u001b[0;32m----> 1\u001b[0m \u001b[43mjupyterquiz\u001b[49m\u001b[38;5;241m.\u001b[39mdisplay_quiz(\u001b[38;5;124m'\u001b[39m\u001b[38;5;124m#quiz0\u001b[39m\u001b[38;5;124m'\u001b[39m)\n",
+      "\u001b[0;31mNameError\u001b[0m: name 'jupyterquiz' is not defined"
+     ]
+    }
+   ],
+   "source": [
+    "jupyterquiz.display_quiz('#quiz0')"
+   ]
   }
  ],
  "metadata": {