fix: forcefully add the exemples

TODO: reactivate jupytext which breaks on Hugging Face environment

jupyter/notebooks/ex_autoreload.ipynb

@@ -0,0 +1,119 @@
+{
+ "cells": [
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "id": "30f034a5",
+   "metadata": {},
+   "source": [
+    "# Automatic reloading example for interactive development\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "98f2f3f8",
+   "metadata": {
+    "lines_to_next_cell": 2
+   },
+   "outputs": [],
+   "source": [
+    "%load_ext autoreload\n",
+    "%autoreload 1"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "id": "14acf530",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "executing the file '/opt/code/athai/hello.py'in module 'athai.hello' and package 'athai'\n"
+     ]
+    }
+   ],
+   "source": [
+    "%aimport athai.hello"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "id": "f8be4aa9",
+   "metadata": {},
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "id": "d06a304c-912f-4bde-add3-5cf1c5400afb",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from athai import hello"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "id": "7568bd54-1c4e-449a-8edd-3659d7ec891f",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "'Nice to meet you, Jae!'"
+      ]
+     },
+     "execution_count": 4,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "hello.build_greetings(\"Jae\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "11ef3094-570c-46a2-9beb-30153d599b6d",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "603e6d0a-c706-420b-bb33-920952f797de",
+   "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": "3.10.12"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}

jupyter/notebooks/test_persistent_data.ipynb

@@ -0,0 +1,222 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "b107913b-6509-4e81-910c-d85c6b2d21a0",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import os\n",
+    "from pathlib import Path\n",
+    "\n",
+    "import numpy as np\n",
+    "import pandas as pd"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "id": "101058a0-be75-469e-888e-ca30085b3728",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from athai.data_utils import cached_download_csv"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "id": "ff4bfe45-7c3a-4f2a-8bb1-1c0949e59439",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "DATE_COLUMN = \"date/time\"\n",
+    "DATA_URL = (\n",
+    "    \"https://s3-us-west-2.amazonaws.com/\"\n",
+    "    \"streamlit-demo-data/uber-raw-data-sep14.csv.gz\"\n",
+    ")\n",
+    "\n",
+    "DATA_PATH = Path(os.environ.get(\"APP_DATA\"))\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "id": "740320f0-ac83-4a7b-8087-f930e9e43da4",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "INFO:root:Opened or created the shelf file '/data/app/shelf.dat'\n",
+      "INFO:root:Re-using cached URL 'https://s3-us-west-2.amazonaws.com/streamlit-demo-data/uber-raw-data-sep14.csv.gz'\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Date/Time</th>\n",
+       "      <th>Lat</th>\n",
+       "      <th>Lon</th>\n",
+       "      <th>Base</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>9/1/2014 0:01:00</td>\n",
+       "      <td>40.2201</td>\n",
+       "      <td>-74.0021</td>\n",
+       "      <td>B02512</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>9/1/2014 0:01:00</td>\n",
+       "      <td>40.7500</td>\n",
+       "      <td>-74.0027</td>\n",
+       "      <td>B02512</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>9/1/2014 0:03:00</td>\n",
+       "      <td>40.7559</td>\n",
+       "      <td>-73.9864</td>\n",
+       "      <td>B02512</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>9/1/2014 0:06:00</td>\n",
+       "      <td>40.7450</td>\n",
+       "      <td>-73.9889</td>\n",
+       "      <td>B02512</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>9/1/2014 0:11:00</td>\n",
+       "      <td>40.8145</td>\n",
+       "      <td>-73.9444</td>\n",
+       "      <td>B02512</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5</th>\n",
+       "      <td>9/1/2014 0:12:00</td>\n",
+       "      <td>40.6735</td>\n",
+       "      <td>-73.9918</td>\n",
+       "      <td>B02512</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>6</th>\n",
+       "      <td>9/1/2014 0:15:00</td>\n",
+       "      <td>40.7471</td>\n",
+       "      <td>-73.6472</td>\n",
+       "      <td>B02512</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>7</th>\n",
+       "      <td>9/1/2014 0:16:00</td>\n",
+       "      <td>40.6613</td>\n",
+       "      <td>-74.2691</td>\n",
+       "      <td>B02512</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8</th>\n",
+       "      <td>9/1/2014 0:32:00</td>\n",
+       "      <td>40.3745</td>\n",
+       "      <td>-73.9999</td>\n",
+       "      <td>B02512</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>9</th>\n",
+       "      <td>9/1/2014 0:33:00</td>\n",
+       "      <td>40.7633</td>\n",
+       "      <td>-73.9773</td>\n",
+       "      <td>B02512</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "          Date/Time      Lat      Lon    Base\n",
+       "0  9/1/2014 0:01:00  40.2201 -74.0021  B02512\n",
+       "1  9/1/2014 0:01:00  40.7500 -74.0027  B02512\n",
+       "2  9/1/2014 0:03:00  40.7559 -73.9864  B02512\n",
+       "3  9/1/2014 0:06:00  40.7450 -73.9889  B02512\n",
+       "4  9/1/2014 0:11:00  40.8145 -73.9444  B02512\n",
+       "5  9/1/2014 0:12:00  40.6735 -73.9918  B02512\n",
+       "6  9/1/2014 0:15:00  40.7471 -73.6472  B02512\n",
+       "7  9/1/2014 0:16:00  40.6613 -74.2691  B02512\n",
+       "8  9/1/2014 0:32:00  40.3745 -73.9999  B02512\n",
+       "9  9/1/2014 0:33:00  40.7633 -73.9773  B02512"
+      ]
+     },
+     "execution_count": 4,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "nrows=10\n",
+    "data = cached_download_csv(DATA_PATH, DATA_URL, nrows=nrows)\n",
+    "data"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "35a636c3-a1cd-40df-8bd2-9f008046a99f",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "a2dfa021-231c-4fcb-9928-66e69ef802d5",
+   "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": "3.10.12"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}