First pass of Getting to know py; mv Functions above For loops

.gitignore

@@ -1,4 +1,8 @@
 
+# TMP storage for solutions
+tutorials/solutions/
+
+
 # jupyter-book dir
 _build
 

scripts/split_off_solutions.ipynb

@@ -0,0 +1,135 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "16eab062-5094-47b9-97cb-4ee9ac3acd44",
+   "metadata": {},
+   "source": [
+    "# Create a version of a tutorial without solutions"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "c37c81f5-0a4a-4e54-b5e1-a70847eafe17",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from copy import deepcopy\n",
+    "import nbformat\n",
+    "import os"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "id": "df2d36ea-de2e-427e-b040-985378f42f4a",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def has_solution(cell):\n",
+    "    \"\"\"Return True if cell is marked as containing an exercise solution.\"\"\"\n",
+    "    cell_text = cell[\"source\"].replace(\" \", \"\").lower()\n",
+    "    first_line = cell_text.split(\"\\n\")[0]\n",
+    "    return (\n",
+    "        cell_text.startswith(\"#@titlesolution\")\n",
+    "        or \"to_remove\" in first_line\n",
+    "    )"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "id": "36437d86-8afe-4a09-9616-aaba4ba3591e",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# TODO: import \n",
+    "# def extract_solutions(nb, nb_dir, nb_name):\n",
+    "# from process_notebooks.py"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "id": "364235e7-9426-44e0-bc35-9e9e21578202",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "SOLUTIONS_DIR = \"/Users/ivan/Projects/Minireference/STATSbook/noBSstatsnotebooks/tutorials/solutions\"\n",
+    "\n",
+    "def split_off_solutions(srcfilename: str, destfilename: str):\n",
+    "    \"\"\"Load the notebook, adjust headings in markdown cells, and write back.\"\"\"\n",
+    "    with open(srcfilename, 'r', encoding='utf-8') as inf:\n",
+    "        nb = nbformat.read(inf, as_version=4)\n",
+    "\n",
+    "    for cell in nb.cells:\n",
+    "        if cell.cell_type == 'code' and has_solution(cell):\n",
+    "            cell_source = cell[\"source\"]\n",
+    "\n",
+    "            cell_source = cell_source.replace(\"@titlesolution\", \"\")\n",
+    "            title = cell_source.splitlines()[0].strip()\n",
+    "            filename = title.replace(\"# \",\"\").replace(\" \",\"_\") + \".py\"\n",
+    "            with open(os.path.join(SOLUTIONS_DIR,filename), \"w\") as solf:\n",
+    "                solf.write(cell_source)\n",
+    "\n",
+    "            # clear cell\n",
+    "            cell['source'] = \"\"\n",
+    "            if \"outputID\" in cell[\"metadata\"]:\n",
+    "                del cell[\"metadata\"][\"outputId\"]\n",
+    "            if \"outputs\" in cell:\n",
+    "                cell[\"outputs\"] = []\n",
+    "            if \"execution_count\" in cell:\n",
+    "                del cell[\"execution_count\"]\n",
+    "\n",
+    "    with open(destfilename, 'w', encoding='utf-8') as outf:\n",
+    "        nbformat.write(nb, outf)\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "id": "18d69778-a915-4e55-8205-6af438db6a79",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "\n",
+    "# Example usage\n",
+    "\n",
+    "split_off_solutions(\n",
+    "    '../tutorials/python_tutorial.ipynb',\n",
+    "    '../tutorials/python_tutorial2.ipynb'\n",
+    ")\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "3400317d-5016-4dc1-a8aa-70b09f374b5d",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "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": "3.9.4"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}