[skip ci] docs build of aca4493

Author: ci-doc-deploy-bot

_images/01-classic.gif

@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "markdown",
-   "id": "d3524bbb",
+   "id": "c824f4ac",
    "metadata": {},
    "source": [
     "# Pairing Jupyter notebooks and MyST-NB\n",
@@ -76,7 +76,7 @@
   {
    "cell_type": "code",
    "execution_count": 1,
-   "id": "3ea645a8",
+   "id": "c50821b4",
    "metadata": {},
    "outputs": [
     {
@@ -94,7 +94,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "52ec280c",
+   "id": "b92685fe",
    "metadata": {},
    "source": [
     "---\n",
@@ -219,34 +219,32 @@
     "\n",
     "You can pair the two formats in the classic Jupyter, Jupyter Lab,\n",
     "or the command line:\n",
-    "<ul>\n",
-    "<details>\n",
-    "    <summary>\n",
-    "        <b>1. Classic Jupyter Jupytext pairing</b>.\n",
-    "    </summary>\n",
-    "    <img src=\"../_static/01-classic.gif\" width=80% height=80%>\n",
-    "</details>\n",
-    "    \n",
-    "<details>\n",
-    "    <summary>\n",
-    "        <b>2. Jupyter Lab Jupytext pairing</b>\n",
-    "    </summary>\n",
-    "\t<img src=\"../_static/02-jupyterlab.gif\" width=80% height=80%>\n",
-    "</details>\n",
-    "\n",
-    "<details>\n",
-    "    <summary>\n",
-    "\t\t<b>3. Command line Jupytext pairing</b>\n",
-    "    </summary>\n",
-    "  <pre><code>\n",
-    "  jupytext --set-formats ipynb,myst notebook.ipynb\n",
-    "  </pre></code>\n",
-    "  Then, update either the MyST markdown or notebook file:\n",
-    "  <pre><code>\n",
-    "  jupytext --sync notebook.ipynb\n",
-    "  </pre></code>\n",
-    "</details>\n",
-    "</ul>\n",
+    "\n",
+    "```{admonition} **1. Classic Jupyter Jupytext pairing**\n",
+    ":class: toggle\n",
+    "\n",
+    "![Animation showing pairing with Jupyter classic](_static/01-classic.gif)\n",
+    "```\n",
+    "\n",
+    "```{admonition} **2. JupyterLab Jupytext pairing**\n",
+    ":class: toggle\n",
+    "\n",
+    "![Animation showing pairing with JupyterLab](_static/02-jupyterlab.gif)\n",
+    "```\n",
+    "\n",
+    "````{admonition} **3. Command line Jupytext pairing**\n",
+    ":class: toggle\n",
+    "\n",
+    "```sh\n",
+    "jupytext --set-formats ipynb,myst notebook.ipynb\n",
+    "```\n",
+    "\n",
+    "Then, update either the MyST markdown or notebook file:\n",
+    "\n",
+    "```sh\n",
+    "jupytext --sync notebook.ipynb\n",
+    "```\n",
+    "````\n",
     "\n",
     "> __Note:__ With Jupytext installed, the classic Jupyter interface will\n",
     "> automatically open MyST files as notebooks. In JupyterLab, you can\n",

_images/02-jupyterlab.gif

@@ -204,34 +204,32 @@ to include the Jupytext extension.
 
 You can pair the two formats in the classic Jupyter, Jupyter Lab,
 or the command line:
-<ul>
-<details>
-    <summary>
-        <b>1. Classic Jupyter Jupytext pairing</b>.
-    </summary>
-    <img src="../_static/01-classic.gif" width=80% height=80%>
-</details>
-    
-<details>
-    <summary>
-        <b>2. Jupyter Lab Jupytext pairing</b>
-    </summary>
-	<img src="../_static/02-jupyterlab.gif" width=80% height=80%>
-</details>
-
-<details>
-    <summary>
-		<b>3. Command line Jupytext pairing</b>
-    </summary>
-  <pre><code>
-  jupytext --set-formats ipynb,myst notebook.ipynb
-  </pre></code>
-  Then, update either the MyST markdown or notebook file:
-  <pre><code>
-  jupytext --sync notebook.ipynb
-  </pre></code>
-</details>
-</ul>
+
+```{admonition} **1. Classic Jupyter Jupytext pairing**
+:class: toggle
+
+![Animation showing pairing with Jupyter classic](_static/01-classic.gif)
+```
+
+```{admonition} **2. JupyterLab Jupytext pairing**
+:class: toggle
+
+![Animation showing pairing with JupyterLab](_static/02-jupyterlab.gif)
+```
+
+````{admonition} **3. Command line Jupytext pairing**
+:class: toggle
+
+```sh
+jupytext --set-formats ipynb,myst notebook.ipynb
+```
+
+Then, update either the MyST markdown or notebook file:
+
+```sh
+jupytext --sync notebook.ipynb
+```
+````
 
 > __Note:__ With Jupytext installed, the classic Jupyter interface will
 > automatically open MyST files as notebooks. In JupyterLab, you can

_sources/content/mooreslaw-tutorial.ipynb

@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "markdown",
-   "id": "7836cbe1",
+   "id": "4c7ebd77",
    "metadata": {},
    "source": [
     "# Saving and sharing your NumPy arrays\n",
@@ -37,7 +37,7 @@
   {
    "cell_type": "code",
    "execution_count": 1,
-   "id": "08eb047b",
+   "id": "444fa297",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -46,7 +46,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "a9528cfe",
+   "id": "082e6280",
    "metadata": {},
    "source": [
     "In this tutorial, you will use the following Python, IPython magic, and NumPy functions:\n",
@@ -64,7 +64,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "a07f1604",
+   "id": "a5d9d041",
    "metadata": {},
    "source": [
     "---\n",
@@ -81,7 +81,7 @@
   {
    "cell_type": "code",
    "execution_count": 2,
-   "id": "fe503083",
+   "id": "f40dc1a9",
    "metadata": {},
    "outputs": [
     {
@@ -102,7 +102,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "14f6fda3",
+   "id": "9c61bbbd",
    "metadata": {},
    "source": [
     "## Save your arrays with NumPy's [`savez`](https://numpy.org/doc/stable/reference/generated/numpy.savez.html?highlight=savez#numpy.savez)\n",
@@ -125,7 +125,7 @@
   {
    "cell_type": "code",
    "execution_count": 3,
-   "id": "e1056640",
+   "id": "62d00793",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -134,7 +134,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "89c69be3",
+   "id": "ad6c077a",
    "metadata": {},
    "source": [
     "## Remove the saved arrays and load them back with NumPy's [`load`](https://numpy.org/doc/stable/reference/generated/numpy.load.html#numpy.load)\n",
@@ -159,7 +159,7 @@
   {
    "cell_type": "code",
    "execution_count": 4,
-   "id": "f63d21f2",
+   "id": "5b013941",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -169,7 +169,7 @@
   {
    "cell_type": "code",
    "execution_count": 5,
-   "id": "08ec351a",
+   "id": "cbf3084c",
    "metadata": {},
    "outputs": [
     {
@@ -189,7 +189,7 @@
   {
    "cell_type": "code",
    "execution_count": 6,
-   "id": "20305431",
+   "id": "eb43efa1",
    "metadata": {},
    "outputs": [
     {
@@ -209,7 +209,7 @@
   {
    "cell_type": "code",
    "execution_count": 7,
-   "id": "f56e63ac",
+   "id": "8b7a437d",
    "metadata": {},
    "outputs": [
     {
@@ -218,7 +218,7 @@
      "text": [
       "Variable   Type       Data/Info\n",
       "-------------------------------\n",
-      "load_xy    NpzFile    <numpy.lib.npyio.NpzFile <...>object at 0x7f914c07e340>\n",
+      "load_xy    NpzFile    <numpy.lib.npyio.NpzFile <...>object at 0x7f96c6872490>\n",
       "np         module     <module 'numpy' from '/ho<...>kages/numpy/__init__.py'>\n"
      ]
     }
@@ -229,7 +229,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "7cddf75a",
+   "id": "e73371f7",
    "metadata": {},
    "source": [
     "## Reassign the NpzFile arrays to `x` and `y`\n",
@@ -242,7 +242,7 @@
   {
    "cell_type": "code",
    "execution_count": 8,
-   "id": "b582f479",
+   "id": "706887c1",
    "metadata": {},
    "outputs": [
     {
@@ -263,7 +263,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "5afec78e",
+   "id": "8413b048",
    "metadata": {},
    "source": [
     "## Success\n",
@@ -294,7 +294,7 @@
   {
    "cell_type": "code",
    "execution_count": 9,
-   "id": "9ff79c3e",
+   "id": "2eb23e94",
    "metadata": {},
    "outputs": [
     {
@@ -323,7 +323,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "0e4827a7",
+   "id": "c5130dc0",
    "metadata": {},
    "source": [
     "## Save the data to csv file using [`savetxt`](https://numpy.org/doc/stable/reference/generated/numpy.savetxt.html#numpy.savetxt)\n",
@@ -338,7 +338,7 @@
   {
    "cell_type": "code",
    "execution_count": 10,
-   "id": "34e1e077",
+   "id": "b5dad981",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -347,7 +347,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "aa6c2416",
+   "id": "782fa301",
    "metadata": {},
    "source": [
     "Open the file, `x_y-squared.csv`, and you'll see the following:\n",
@@ -387,7 +387,7 @@
   {
    "cell_type": "code",
    "execution_count": 11,
-   "id": "19035a5b",
+   "id": "0e872120",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -397,7 +397,7 @@
   {
    "cell_type": "code",
    "execution_count": 12,
-   "id": "22d43d64",
+   "id": "1aee7d2d",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -409,7 +409,7 @@
   {
    "cell_type": "code",
    "execution_count": 13,
-   "id": "5c6dbccf",
+   "id": "b381bf46",
    "metadata": {},
    "outputs": [
     {
@@ -430,7 +430,7 @@
   {
    "cell_type": "code",
    "execution_count": 14,
-   "id": "05420dc2",
+   "id": "2209f649",
    "metadata": {},
    "outputs": [
     {
@@ -451,7 +451,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "d0524cd6",
+   "id": "c607c33c",
    "metadata": {},
    "source": [
     "## Success, but remember your types\n",
@@ -462,7 +462,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "945b8483",
+   "id": "c3db6a3d",
    "metadata": {},
    "source": [
     "## Wrapping up\n",