✨ Add text/markdown MIME renderer

examples/display-markdown.ipynb

@@ -0,0 +1,126 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "1445c778-f92f-46c4-a7f9-b9aece94450f",
+   "metadata": {
+    "user_expressions": []
+   },
+   "source": [
+    "---\n",
+    "title: Markdown Rendering in Jupyter using MyST\n",
+    "subtitle: Using inline widgets in JupyterLab markdown cells\n",
+    "author:\n",
+    "  - name: Rowan Cockett\n",
+    "    affiliations: Executable Books; Curvenote\n",
+    "    orcid: 0000-0002-7859-8394\n",
+    "    email: rowan@curvenote.com\n",
+    "  - name: Angus Hollands\n",
+    "    affiliations: Executable Books\n",
+    "  - name: Steve Purves\n",
+    "    affiliations: Executable Books; Curvenote\n",
+    "date: 2023/02/20\n",
+    "---\n",
+    "\n",
+    "The [JupyterLab MyST extension](https://github.com/executablebooks/jupyterlab-myst) allows you to invoke the MyST renderer from code cell outputs."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "id": "53c89be3-63ef-4a5c-b7f3-28ed138fa92e",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "from IPython.display import Markdown"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "id": "32fad109-f60a-4162-b784-4e3d9ed45921",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/markdown": [
+       "\n",
+       "\n",
+       "\n",
+       "The [JupyterLab MyST extension](https://github.com/executablebooks/jupyterlab-myst) allows you to have MyST renderer in your markdown cells that includes interactivity and inline-evaluation.\n",
+       "\n",
+       ":::{warning} Syntax is Subject to Change\n",
+       ":class: dropdown\n",
+       "The current syntax is based on a myst role, which may change in the future -- for example to be closer to an inline expression `${}`. This will go through a MyST enhancement proposal, and the `{eval}` role will likely still be supported.\n",
+       ":::\n",
+       "\n",
+       "\n",
+       "```python\n",
+       "import numpy as np\n",
+       "array = np.arange(4)\n",
+       "```\n",
+       "\n"
+      ],
+      "text/plain": [
+       "<IPython.core.display.Markdown object>"
+      ]
+     },
+     "execution_count": 13,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "Markdown('''\n",
+    "\n",
+    "\n",
+    "The [JupyterLab MyST extension](https://github.com/executablebooks/jupyterlab-myst) allows you to have MyST renderer in your markdown cells that includes interactivity and inline-evaluation.\n",
+    "\n",
+    ":::{warning} Syntax is Subject to Change\n",
+    ":class: dropdown\n",
+    "The current syntax is based on a myst role, which may change in the future -- for example to be closer to an inline expression `${}`. This will go through a MyST enhancement proposal, and the `{eval}` role will likely still be supported.\n",
+    ":::\n",
+    "\n",
+    "\n",
+    "```python\n",
+    "import numpy as np\n",
+    "array = np.arange(4)\n",
+    "```\n",
+    "\n",
+    "''')"
+   ]
+  }
+ ],
+ "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": "3.10.6"
+  },
+  "widgets": {
+   "application/vnd.jupyter.widget-state+json": {
+    "state": {},
+    "version_major": 2,
+    "version_minor": 0
+   }
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}

examples/inline-interactivity.ipynb

@@ -53,7 +53,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": 1,
    "id": "90dffa46-b084-4b24-a650-e5f5a9aa526e",
    "metadata": {
     "tags": []
@@ -123,7 +123,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": 2,
    "id": "5ffba1f7-e455-4dce-a645-38988d97b01b",
    "metadata": {
     "tags": []
@@ -170,7 +170,7 @@
       "result": {
        "data": {
         "application/vnd.jupyter.widget-view+json": {
-         "model_id": "164397fa815540bda67c6789e23fc2f2",
+         "model_id": "99c2b3b4f0634fb19a6586a1b7c048ad",
          "version_major": 2,
          "version_minor": 0
         },
@@ -185,7 +185,7 @@
       "result": {
        "data": {
         "application/vnd.jupyter.widget-view+json": {
-         "model_id": "55495b9c0d0a4752b156300c63c1727f",
+         "model_id": "1e8ab668a82f4bca84d0731092af405f",
          "version_major": 2,
          "version_minor": 0
         },
@@ -200,7 +200,7 @@
       "result": {
        "data": {
         "application/vnd.jupyter.widget-view+json": {
-         "model_id": "99043a572d5b4229ad08203899d80425",
+         "model_id": "38bb524a0a544221a6d57312a1b24323",
          "version_major": 2,
          "version_minor": 0
         },
@@ -215,7 +215,7 @@
       "result": {
        "data": {
         "application/vnd.jupyter.widget-view+json": {
-         "model_id": "47a2a63cb5304db28dd220ff347fb093",
+         "model_id": "b026379e864a457585df0502be54ba98",
          "version_major": 2,
          "version_minor": 0
         },
@@ -260,7 +260,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": 3,
    "id": "17290f9d-034c-41d0-828b-5af14e14edfa",
    "metadata": {
     "tags": []
@@ -582,7 +582,137 @@
   },
   "widgets": {
    "application/vnd.jupyter.widget-state+json": {
-    "state": {},
+    "state": {
+     "0475c9891b1041ac958732b3f3dfde80": {
+      "model_module": "@jupyter-widgets/base",
+      "model_module_version": "2.0.0",
+      "model_name": "LayoutModel",
+      "state": {}
+     },
+     "1e8ab668a82f4bca84d0731092af405f": {
+      "model_module": "@jupyter-widgets/controls",
+      "model_module_version": "2.0.0",
+      "model_name": "LabelModel",
+      "state": {
+       "layout": "IPY_MODEL_2e78dacf92a94dd6aa3919a29722948b",
+       "style": "IPY_MODEL_480aadd6662c4c2bbcca8ef67255e64a",
+       "value": "500"
+      }
+     },
+     "274ed93dcd0f4897a95f314dc1f3b1fb": {
+      "model_module": "@jupyter-widgets/base",
+      "model_module_version": "2.0.0",
+      "model_name": "LayoutModel",
+      "state": {}
+     },
+     "2766f4faadcd443f8c195bf614a30035": {
+      "model_module": "@jupyter-widgets/controls",
+      "model_module_version": "2.0.0",
+      "model_name": "DescriptionStyleModel",
+      "state": {
+       "description_width": ""
+      }
+     },
+     "2e78dacf92a94dd6aa3919a29722948b": {
+      "model_module": "@jupyter-widgets/base",
+      "model_module_version": "2.0.0",
+      "model_name": "LayoutModel",
+      "state": {}
+     },
+     "38bb524a0a544221a6d57312a1b24323": {
+      "model_module": "@jupyter-widgets/controls",
+      "model_module_version": "2.0.0",
+      "model_name": "LabelModel",
+      "state": {
+       "layout": "IPY_MODEL_274ed93dcd0f4897a95f314dc1f3b1fb",
+       "style": "IPY_MODEL_64cee23ec9524879aa172d0271642964",
+       "value": "23.8"
+      }
+     },
+     "480aadd6662c4c2bbcca8ef67255e64a": {
+      "model_module": "@jupyter-widgets/controls",
+      "model_module_version": "2.0.0",
+      "model_name": "LabelStyleModel",
+      "state": {
+       "description_width": "",
+       "font_family": null,
+       "font_size": null,
+       "font_style": null,
+       "font_variant": null,
+       "font_weight": null,
+       "text_color": null,
+       "text_decoration": null
+      }
+     },
+     "62a7cd9328f142c98184357d8951af13": {
+      "model_module": "@jupyter-widgets/controls",
+      "model_module_version": "2.0.0",
+      "model_name": "SliderStyleModel",
+      "state": {
+       "description_width": ""
+      }
+     },
+     "64cee23ec9524879aa172d0271642964": {
+      "model_module": "@jupyter-widgets/controls",
+      "model_module_version": "2.0.0",
+      "model_name": "LabelStyleModel",
+      "state": {
+       "description_width": "",
+       "font_family": null,
+       "font_size": null,
+       "font_style": null,
+       "font_variant": null,
+       "font_weight": null,
+       "text_color": null,
+       "text_decoration": null
+      }
+     },
+     "72a3e705505044a49019394d40092e25": {
+      "model_module": "@jupyter-widgets/base",
+      "model_module_version": "2.0.0",
+      "model_name": "LayoutModel",
+      "state": {}
+     },
+     "888a2a0691f44d008052ded919537342": {
+      "model_module": "@jupyter-widgets/controls",
+      "model_module_version": "2.0.0",
+      "model_name": "LinkModel",
+      "state": {
+       "source": [
+        "IPY_MODEL_b026379e864a457585df0502be54ba98",
+        "value"
+       ],
+       "target": [
+        "IPY_MODEL_99c2b3b4f0634fb19a6586a1b7c048ad",
+        "value"
+       ]
+      }
+     },
+     "99c2b3b4f0634fb19a6586a1b7c048ad": {
+      "model_module": "@jupyter-widgets/controls",
+      "model_module_version": "2.0.0",
+      "model_name": "BoundedIntTextModel",
+      "state": {
+       "layout": "IPY_MODEL_72a3e705505044a49019394d40092e25",
+       "max": 30,
+       "style": "IPY_MODEL_2766f4faadcd443f8c195bf614a30035",
+       "value": 10
+      }
+     },
+     "b026379e864a457585df0502be54ba98": {
+      "model_module": "@jupyter-widgets/controls",
+      "model_module_version": "2.0.0",
+      "model_name": "IntSliderModel",
+      "state": {
+       "behavior": "drag-tap",
+       "description": "Cookies: ",
+       "layout": "IPY_MODEL_0475c9891b1041ac958732b3f3dfde80",
+       "max": 30,
+       "style": "IPY_MODEL_62a7cd9328f142c98184357d8951af13",
+       "value": 10
+      }
+     }
+    },
     "version_major": 2,
     "version_minor": 0
    }

examples/myst_tests.ipynb

@@ -228,7 +228,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.9.7"
+   "version": "3.10.6"
   },
   "vscode": {
    "interpreter": {