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+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "slideshow": {
+     "slide_type": "slide"
+    }
+   },
+   "source": [
+    "# Constructing a High-Dimensional Neural Network Potential for Lithium Aluminum Alloys with RuNNer and pyiron\n",
+    "\n",
+    "This Jupyter Notebook is written for the RuNNer tutorial at the workshop \"Potentials\" from 08-10 June, 2022 by **Marius Herbold, Alexander L. M. Knoll, and Moritz R. Schäfer** (marius.herbold@chemie.uni-goettingen.de, aknoll@chemie.uni-goettingen.de, moritzrichard.schaefer@uni-goettingen.de, Georg-August-Universität Göttingen, Institut für Physikalische Chemie, Theoretische Chemie).\n",
+    "\n",
+    "For this tutorial it is intended to use the RuNNer release version 1.2.\n",
+    "RuNNer is hosted on [Gitlab](https://gitlab.com/TheochemGoettingen/RuNNer).\n",
+    "The most recent version can only be found in this repository.\n",
+    "For access please contact Prof. Dr. Jörg Behler (joerg.behler@uni-goettingen.de)."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {
+    "scrolled": true,
+    "slideshow": {
+     "slide_type": "slide"
+    }
+   },
+   "outputs": [],
+   "source": [
+    "import numpy as np\n",
+    "\n",
+    "import matplotlib.pyplot as plt\n",
+    "import pandas as pd\n",
+    "import ipympl\n",
+    "import ipywidgets as widgets\n",
+    "\n",
+    "from pyiron_atomistics import Project\n",
+    "from pyiron_contrib.atomistics.runner.utils import container_to_ase, ase_to_container\n",
+    "from pyiron_contrib.atomistics.runner.job import RunnerFit\n",
+    "\n",
+    "from runnerase import generate_symmetryfunctions\n",
+    "\n",
+    "%matplotlib widget"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "slideshow": {
+     "slide_type": "slide"
+    }
+   },
+   "source": [
+    "# About RuNNer\n",
+    "**RuNNer** is a stand-alone Fortran program for the construction of high-dimensional neural network potentials (HDNNP), written mainly by Jörg Behler. It relates the local environment of an atom to its atomic energy $E_\\mathrm{s}$, which contributes to the sum of all $N$ atomic energies, resulting in the total energy of the system $E_\\mathrm{s}$\n",
+    "\n",
+    "\\begin{equation}\n",
+    "    E_\\mathrm{s} = \\sum_{a}^{N}E_\\mathrm{a}.\n",
+    "\\end{equation}\n",
+    "\n",
+    "The atomic energy is described by an atomic neural network (NN), which is element specific. This gives the oppurtunity to describe different numbers of atoms with the same NN, which would be not the case, if there were only one NN for the whole system. To feed information to the NN, the local environment up to a certain cutoff radius $R_\\mathrm{c}$ is described by so-called symmetry functions (SF) (more details are shown in a few moments) forming the SF vector $G$, which forms the input layer of the NN. In the next layers of the NN - the hidden layers - this information will be processed and in the final layer - the output layer - the atomic NN will provide the atomic energy $E_\\mathrm{a}$. In each layer, there are a certain number of nodes $y$ which are connected by the weights $a$ and can be biased by the biases $b$. For the NN training the weights and biases are optimized to represent best the data in the training data set.\n",
+    "\n",
+    "![2G-HDNNP](2G_HDNNP.png)\n",
+    "\n",
+    "In general **RuNNer** can be separated into three different stages - so-called modes, in which different steps are performed.\n",
+    "- mode 1: SF calculation, data set splitting in training and test set\n",
+    "- mode 2: training of the NN to construct the NNP\n",
+    "- mode 3: prediction of energy, forces, stress, charges\n",
+    "\n",
+    "All these steps are performed consecutively beginning with mode 1."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# pyiron and RuNNer\n",
+    "\n",
+    "## Data Preparation\n",
+    "\n",
+    "The creation of a meaningful neural network potential lives and dies with high quality training data. Therefore, we will begin by inspecting the full training dataset. \n",
+    "The dataset has been stored prior to the workshop in form of a `TrainingContainer`. \n",
+    "In pyiron, `TrainingContainer`s are jobs which take a set of structures and store them to HDF format.\n",
+    "\n",
+    "Go ahead and open up the project:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "pr = Project('AlLi-Fit')\n",
+    "# pr.unpack(csv_file_name='export.csv', origin_path='AlLi_export')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "The project already contains several jobs:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {
+    "scrolled": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
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+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>id</th>\n",
+       "      <th>status</th>\n",
+       "      <th>chemicalformula</th>\n",
+       "      <th>job</th>\n",
+       "      <th>subjob</th>\n",
+       "      <th>projectpath</th>\n",
+       "      <th>project</th>\n",
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+       "      <th>timestop</th>\n",
+       "      <th>totalcputime</th>\n",
+       "      <th>computer</th>\n",
+       "      <th>hamilton</th>\n",
+       "      <th>hamversion</th>\n",
+       "      <th>parentid</th>\n",
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+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>140</td>\n",
+       "      <td>finished</td>\n",
+       "      <td>None</td>\n",
+       "      <td>dataset_only_Li</td>\n",
+       "      <td>/dataset_only_Li</td>\n",
+       "      <td>None</td>\n",
+       "      <td>/home/kalm/dcmnts/uni/promotion/work/workshop_bochum/handson_notebook/workshop-pyiron-demonstration/notebooks/AlLi-Fit/AlLi-Fit/</td>\n",
+       "      <td>2022-05-17 15:31:30.240841</td>\n",
+       "      <td>NaT</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>pyiron@lap2p#1</td>\n",
+       "      <td>TrainingContainer</td>\n",
+       "      <td>0.4</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>None</td>\n",
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+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>141</td>\n",
+       "      <td>finished</td>\n",
+       "      <td>None</td>\n",
+       "      <td>dataset_only_Al</td>\n",
+       "      <td>/dataset_only_Al</td>\n",
+       "      <td>None</td>\n",
+       "      <td>/home/kalm/dcmnts/uni/promotion/work/workshop_bochum/handson_notebook/workshop-pyiron-demonstration/notebooks/AlLi-Fit/AlLi-Fit/</td>\n",
+       "      <td>2022-05-17 15:31:31.233602</td>\n",
+       "      <td>NaT</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>pyiron@lap2p#1</td>\n",
+       "      <td>TrainingContainer</td>\n",
+       "      <td>0.4</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>None</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>142</td>\n",
+       "      <td>finished</td>\n",
+       "      <td>None</td>\n",
+       "      <td>dataset_AlLi_stochiometric</td>\n",
+       "      <td>/dataset_AlLi_stochiometric</td>\n",
+       "      <td>None</td>\n",
+       "      <td>/home/kalm/dcmnts/uni/promotion/work/workshop_bochum/handson_notebook/workshop-pyiron-demonstration/notebooks/AlLi-Fit/AlLi-Fit/</td>\n",
+       "      <td>2022-05-17 15:31:32.462426</td>\n",
+       "      <td>NaT</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>pyiron@lap2p#1</td>\n",
+       "      <td>TrainingContainer</td>\n",
+       "      <td>0.4</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>None</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>143</td>\n",
+       "      <td>finished</td>\n",
+       "      <td>None</td>\n",
+       "      <td>dataset_AlLi_offstochiometric</td>\n",
+       "      <td>/dataset_AlLi_offstochiometric</td>\n",
+       "      <td>None</td>\n",
+       "      <td>/home/kalm/dcmnts/uni/promotion/work/workshop_bochum/handson_notebook/workshop-pyiron-demonstration/notebooks/AlLi-Fit/AlLi-Fit/</td>\n",
+       "      <td>2022-05-17 15:31:36.839004</td>\n",
+       "      <td>NaT</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>pyiron@lap2p#1</td>\n",
+       "      <td>TrainingContainer</td>\n",
+       "      <td>0.4</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>None</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>144</td>\n",
+       "      <td>finished</td>\n",
+       "      <td>None</td>\n",
+       "      <td>fit_dataset_full</td>\n",
+       "      <td>/fit_dataset_full</td>\n",
+       "      <td>None</td>\n",
+       "      <td>/home/kalm/dcmnts/uni/promotion/work/workshop_bochum/handson_notebook/workshop-pyiron-demonstration/notebooks/AlLi-Fit/AlLi-Fit/</td>\n",
+       "      <td>2022-05-17 16:15:23.751902</td>\n",
+       "      <td>NaT</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>pyiron@lap2p#1</td>\n",
+       "      <td>RunnerFit</td>\n",
+       "      <td>0.4</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>None</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5</th>\n",
+       "      <td>145</td>\n",
+       "      <td>finished</td>\n",
+       "      <td>None</td>\n",
+       "      <td>dataset_full</td>\n",
+       "      <td>/dataset_full</td>\n",
+       "      <td>None</td>\n",
+       "      <td>/home/kalm/dcmnts/uni/promotion/work/workshop_bochum/handson_notebook/workshop-pyiron-demonstration/notebooks/AlLi-Fit/AlLi-Fit/</td>\n",
+       "      <td>2022-05-18 12:31:07.194712</td>\n",
+       "      <td>NaT</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>pyiron@lap2p#1</td>\n",
+       "      <td>TrainingContainer</td>\n",
+       "      <td>0.4</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>None</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>6</th>\n",
+       "      <td>146</td>\n",
+       "      <td>finished</td>\n",
+       "      <td>None</td>\n",
+       "      <td>fit_data_lithium_mode2</td>\n",
+       "      <td>/fit_data_lithium_mode2</td>\n",
+       "      <td>None</td>\n",
+       "      <td>/home/kalm/dcmnts/uni/promotion/work/workshop_bochum/handson_notebook/workshop-pyiron-demonstration/notebooks/AlLi-Fit/AlLi-Fit/</td>\n",
+       "      <td>2022-05-25 09:41:18.489879</td>\n",
+       "      <td>NaT</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>pyiron@lap2p#1</td>\n",
+       "      <td>RunnerFit</td>\n",
+       "      <td>0.4</td>\n",
+       "      <td>148.0</td>\n",
+       "      <td>None</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>7</th>\n",
+       "      <td>148</td>\n",
+       "      <td>finished</td>\n",
+       "      <td>None</td>\n",
+       "      <td>fit_data_lithium_mode1</td>\n",
+       "      <td>/fit_data_lithium_mode1</td>\n",
+       "      <td>None</td>\n",
+       "      <td>/home/kalm/dcmnts/uni/promotion/work/workshop_bochum/handson_notebook/workshop-pyiron-demonstration/notebooks/AlLi-Fit/AlLi-Fit/</td>\n",
+       "      <td>2022-05-25 13:07:35.998221</td>\n",
+       "      <td>NaT</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>pyiron@lap2p#1</td>\n",
+       "      <td>RunnerFit</td>\n",
+       "      <td>0.4</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>None</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8</th>\n",
+       "      <td>151</td>\n",
+       "      <td>finished</td>\n",
+       "      <td>None</td>\n",
+       "      <td>fit_data_lithium_mode1</td>\n",
+       "      <td>/fit_data_lithium_mode1</td>\n",
+       "      <td>None</td>\n",
+       "      <td>/home/kalm/dcmnts/uni/promotion/work/workshop_bochum/handson_notebook/workshop-pyiron-demonstration/notebooks/AlLi-Fit/</td>\n",
+       "      <td>2022-05-25 13:36:24.420734</td>\n",
+       "      <td>2022-05-25 13:36:30.387102</td>\n",
+       "      <td>5.0</td>\n",
+       "      <td>pyiron@lap2p#1</td>\n",
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+       "      <td>0.4</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>None</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>9</th>\n",
+       "      <td>152</td>\n",
+       "      <td>aborted</td>\n",
+       "      <td>Li</td>\n",
+       "      <td>job_a_3_4</td>\n",
+       "      <td>/job_a_3_4</td>\n",
+       "      <td>None</td>\n",
+       "      <td>/home/kalm/dcmnts/uni/promotion/work/workshop_bochum/handson_notebook/workshop-pyiron-demonstration/notebooks/AlLi-Fit/E_V_curve/</td>\n",
+       "      <td>2022-05-25 13:39:02.177848</td>\n",
+       "      <td>NaT</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>pyiron@lap2p#1</td>\n",
+       "      <td>Lammps</td>\n",
+       "      <td>0.1</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>None</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>10</th>\n",
+       "      <td>154</td>\n",
+       "      <td>aborted</td>\n",
+       "      <td>Li</td>\n",
+       "      <td>job_a_3_5</td>\n",
+       "      <td>/job_a_3_5</td>\n",
+       "      <td>None</td>\n",
+       "      <td>/home/kalm/dcmnts/uni/promotion/work/workshop_bochum/handson_notebook/workshop-pyiron-demonstration/notebooks/AlLi-Fit/E_V_curve/</td>\n",
+       "      <td>2022-05-25 13:40:33.416770</td>\n",
+       "      <td>2022-05-25 13:40:33.436097</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>pyiron@lap2p#1</td>\n",
+       "      <td>Lammps</td>\n",
+       "      <td>0.1</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>None</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>11</th>\n",
+       "      <td>155</td>\n",
+       "      <td>finished</td>\n",
+       "      <td>None</td>\n",
+       "      <td>data_lithium</td>\n",
+       "      <td>/data_lithium</td>\n",
+       "      <td>None</td>\n",
+       "      <td>/home/kalm/dcmnts/uni/promotion/work/workshop_bochum/handson_notebook/workshop-pyiron-demonstration/notebooks/AlLi-Fit/AlLi-Fit/</td>\n",
+       "      <td>2022-05-25 14:37:40.663637</td>\n",
+       "      <td>NaT</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>pyiron@lap2p#1</td>\n",
+       "      <td>TrainingContainer</td>\n",
+       "      <td>0.4</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>None</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>12</th>\n",
+       "      <td>156</td>\n",
+       "      <td>finished</td>\n",
+       "      <td>None</td>\n",
+       "      <td>fit_data_lithium_mode3</td>\n",
+       "      <td>/fit_data_lithium_mode3</td>\n",
+       "      <td>None</td>\n",
+       "      <td>/home/kalm/dcmnts/uni/promotion/work/workshop_bochum/handson_notebook/workshop-pyiron-demonstration/notebooks/AlLi-Fit/AlLi-Fit/</td>\n",
+       "      <td>2022-05-25 14:47:11.887961</td>\n",
+       "      <td>2022-05-25 14:47:19.052183</td>\n",
+       "      <td>7.0</td>\n",
+       "      <td>pyiron@lap2p#1</td>\n",
+       "      <td>RunnerFit</td>\n",
+       "      <td>0.4</td>\n",
+       "      <td>146.0</td>\n",
+       "      <td>None</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "     id    status chemicalformula                            job  \\\n",
+       "0   140  finished            None                dataset_only_Li   \n",
+       "1   141  finished            None                dataset_only_Al   \n",
+       "2   142  finished            None     dataset_AlLi_stochiometric   \n",
+       "3   143  finished            None  dataset_AlLi_offstochiometric   \n",
+       "4   144  finished            None               fit_dataset_full   \n",
+       "5   145  finished            None                   dataset_full   \n",
+       "6   146  finished            None         fit_data_lithium_mode2   \n",
+       "7   148  finished            None         fit_data_lithium_mode1   \n",
+       "8   151  finished            None         fit_data_lithium_mode1   \n",
+       "9   152   aborted              Li                      job_a_3_4   \n",
+       "10  154   aborted              Li                      job_a_3_5   \n",
+       "11  155  finished            None                   data_lithium   \n",
+       "12  156  finished            None         fit_data_lithium_mode3   \n",
+       "\n",
+       "                            subjob projectpath  \\\n",
+       "0                 /dataset_only_Li        None   \n",
+       "1                 /dataset_only_Al        None   \n",
+       "2      /dataset_AlLi_stochiometric        None   \n",
+       "3   /dataset_AlLi_offstochiometric        None   \n",
+       "4                /fit_dataset_full        None   \n",
+       "5                    /dataset_full        None   \n",
+       "6          /fit_data_lithium_mode2        None   \n",
+       "7          /fit_data_lithium_mode1        None   \n",
+       "8          /fit_data_lithium_mode1        None   \n",
+       "9                       /job_a_3_4        None   \n",
+       "10                      /job_a_3_5        None   \n",
+       "11                   /data_lithium        None   \n",
+       "12         /fit_data_lithium_mode3        None   \n",
+       "\n",
+       "                                                                                                                              project  \\\n",
+       "0    /home/kalm/dcmnts/uni/promotion/work/workshop_bochum/handson_notebook/workshop-pyiron-demonstration/notebooks/AlLi-Fit/AlLi-Fit/   \n",
+       "1    /home/kalm/dcmnts/uni/promotion/work/workshop_bochum/handson_notebook/workshop-pyiron-demonstration/notebooks/AlLi-Fit/AlLi-Fit/   \n",
+       "2    /home/kalm/dcmnts/uni/promotion/work/workshop_bochum/handson_notebook/workshop-pyiron-demonstration/notebooks/AlLi-Fit/AlLi-Fit/   \n",
+       "3    /home/kalm/dcmnts/uni/promotion/work/workshop_bochum/handson_notebook/workshop-pyiron-demonstration/notebooks/AlLi-Fit/AlLi-Fit/   \n",
+       "4    /home/kalm/dcmnts/uni/promotion/work/workshop_bochum/handson_notebook/workshop-pyiron-demonstration/notebooks/AlLi-Fit/AlLi-Fit/   \n",
+       "5    /home/kalm/dcmnts/uni/promotion/work/workshop_bochum/handson_notebook/workshop-pyiron-demonstration/notebooks/AlLi-Fit/AlLi-Fit/   \n",
+       "6    /home/kalm/dcmnts/uni/promotion/work/workshop_bochum/handson_notebook/workshop-pyiron-demonstration/notebooks/AlLi-Fit/AlLi-Fit/   \n",
+       "7    /home/kalm/dcmnts/uni/promotion/work/workshop_bochum/handson_notebook/workshop-pyiron-demonstration/notebooks/AlLi-Fit/AlLi-Fit/   \n",
+       "8             /home/kalm/dcmnts/uni/promotion/work/workshop_bochum/handson_notebook/workshop-pyiron-demonstration/notebooks/AlLi-Fit/   \n",
+       "9   /home/kalm/dcmnts/uni/promotion/work/workshop_bochum/handson_notebook/workshop-pyiron-demonstration/notebooks/AlLi-Fit/E_V_curve/   \n",
+       "10  /home/kalm/dcmnts/uni/promotion/work/workshop_bochum/handson_notebook/workshop-pyiron-demonstration/notebooks/AlLi-Fit/E_V_curve/   \n",
+       "11   /home/kalm/dcmnts/uni/promotion/work/workshop_bochum/handson_notebook/workshop-pyiron-demonstration/notebooks/AlLi-Fit/AlLi-Fit/   \n",
+       "12   /home/kalm/dcmnts/uni/promotion/work/workshop_bochum/handson_notebook/workshop-pyiron-demonstration/notebooks/AlLi-Fit/AlLi-Fit/   \n",
+       "\n",
+       "                    timestart                   timestop  totalcputime  \\\n",
+       "0  2022-05-17 15:31:30.240841                        NaT           NaN   \n",
+       "1  2022-05-17 15:31:31.233602                        NaT           NaN   \n",
+       "2  2022-05-17 15:31:32.462426                        NaT           NaN   \n",
+       "3  2022-05-17 15:31:36.839004                        NaT           NaN   \n",
+       "4  2022-05-17 16:15:23.751902                        NaT           NaN   \n",
+       "5  2022-05-18 12:31:07.194712                        NaT           NaN   \n",
+       "6  2022-05-25 09:41:18.489879                        NaT           NaN   \n",
+       "7  2022-05-25 13:07:35.998221                        NaT           NaN   \n",
+       "8  2022-05-25 13:36:24.420734 2022-05-25 13:36:30.387102           5.0   \n",
+       "9  2022-05-25 13:39:02.177848                        NaT           NaN   \n",
+       "10 2022-05-25 13:40:33.416770 2022-05-25 13:40:33.436097           0.0   \n",
+       "11 2022-05-25 14:37:40.663637                        NaT           NaN   \n",
+       "12 2022-05-25 14:47:11.887961 2022-05-25 14:47:19.052183           7.0   \n",
+       "\n",
+       "          computer           hamilton hamversion  parentid masterid  \n",
+       "0   pyiron@lap2p#1  TrainingContainer        0.4       NaN     None  \n",
+       "1   pyiron@lap2p#1  TrainingContainer        0.4       NaN     None  \n",
+       "2   pyiron@lap2p#1  TrainingContainer        0.4       NaN     None  \n",
+       "3   pyiron@lap2p#1  TrainingContainer        0.4       NaN     None  \n",
+       "4   pyiron@lap2p#1          RunnerFit        0.4       NaN     None  \n",
+       "5   pyiron@lap2p#1  TrainingContainer        0.4       NaN     None  \n",
+       "6   pyiron@lap2p#1          RunnerFit        0.4     148.0     None  \n",
+       "7   pyiron@lap2p#1          RunnerFit        0.4       NaN     None  \n",
+       "8   pyiron@lap2p#1          RunnerFit        0.4       NaN     None  \n",
+       "9   pyiron@lap2p#1             Lammps        0.1       NaN     None  \n",
+       "10  pyiron@lap2p#1             Lammps        0.1       NaN     None  \n",
+       "11  pyiron@lap2p#1  TrainingContainer        0.4       NaN     None  \n",
+       "12  pyiron@lap2p#1          RunnerFit        0.4     146.0     None  "
+      ]
+     },
+     "execution_count": 8,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "pr.job_table()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "The training data is stored in the project node `dataset_full`."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "data_full = pr['AlLi-Fit/dataset_full']"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "In order to get a feel for the data, we inspect its energy-volume curve:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "metadata": {
+    "scrolled": true
+   },
+   "outputs": [
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "822a592896f64d9bafa3369cfde4952e",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "image/png": 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",
+      "text/html": [
+       "\n",
+       "            <div style=\"display: inline-block;\">\n",
+       "                <div class=\"jupyter-widgets widget-label\" style=\"text-align: center;\">\n",
+       "                    Figure\n",
+       "                </div>\n",
+       "                <img 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' width=640.0/>\n",
+       "            </div>\n",
+       "        "
+      ],
+      "text/plain": [
+       "Canvas(toolbar=Toolbar(toolitems=[('Home', 'Reset original view', 'home', 'home'), ('Back', 'Back to previous …"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "fig, ax = plt.subplots(1, 1)\n",
+    "_, plot = data_full.plot.energy_volume()\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "As you can see in this plot, some regions of configuration space are much more densily sampled than others. The dataset consists of approximately 4000 structures, ranging from bulk lithium and aluminum to off-stochiometric liquid phases of LiAl alloy. \n",
+    "\n",
+    "Training a potential for such a large dataset to high accuracy takes a few hours. Therefore, we are going to focus on a case study: the subset of pure lithium structures in the dataset. \n",
+    "\n",
+    "We extract a sample from the full dataset using `TrainingContainer`s convenient `sample` function. It creates a new `TrainingContainer` job (here we give it the name `data_lithium`) using a simple filter function."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def filter_lithium(container, idx):\n",
+    "    '''Returns True for structures without aluminum.'''\n",
+    "    elements = container.get_array('symbols', idx)\n",
+    "    return 'Al' not in elements"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "metadata": {
+    "scrolled": false
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "DataContainer({'save_neighbors': True, 'num_neighbors': 12})\n",
+      "The job data_lithium was saved and received the ID: 157\n"
+     ]
+    }
+   ],
+   "source": [
+    "pr.remove_job('data_lithium')\n",
+    "data_lithium = data_full.sample('data_lithium', filter_lithium)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "When inspecting the list of jobs in the project again, you will find that an additional `TrainingContainer`"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "metadata": {},
+   "outputs": [
+    {
+     "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>id</th>\n",
+       "      <th>status</th>\n",
+       "      <th>chemicalformula</th>\n",
+       "      <th>job</th>\n",
+       "      <th>subjob</th>\n",
+       "      <th>projectpath</th>\n",
+       "      <th>project</th>\n",
+       "      <th>timestart</th>\n",
+       "      <th>timestop</th>\n",
+       "      <th>totalcputime</th>\n",
+       "      <th>computer</th>\n",
+       "      <th>hamilton</th>\n",
+       "      <th>hamversion</th>\n",
+       "      <th>parentid</th>\n",
+       "      <th>masterid</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>140</td>\n",
+       "      <td>finished</td>\n",
+       "      <td>None</td>\n",
+       "      <td>dataset_only_Li</td>\n",
+       "      <td>/dataset_only_Li</td>\n",
+       "      <td>None</td>\n",
+       "      <td>/home/kalm/dcmnts/uni/promotion/work/workshop_bochum/handson_notebook/workshop-pyiron-demonstration/notebooks/AlLi-Fit/AlLi-Fit/</td>\n",
+       "      <td>2022-05-17 15:31:30.240841</td>\n",
+       "      <td>NaT</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>pyiron@lap2p#1</td>\n",
+       "      <td>TrainingContainer</td>\n",
+       "      <td>0.4</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>None</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>141</td>\n",
+       "      <td>finished</td>\n",
+       "      <td>None</td>\n",
+       "      <td>dataset_only_Al</td>\n",
+       "      <td>/dataset_only_Al</td>\n",
+       "      <td>None</td>\n",
+       "      <td>/home/kalm/dcmnts/uni/promotion/work/workshop_bochum/handson_notebook/workshop-pyiron-demonstration/notebooks/AlLi-Fit/AlLi-Fit/</td>\n",
+       "      <td>2022-05-17 15:31:31.233602</td>\n",
+       "      <td>NaT</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>pyiron@lap2p#1</td>\n",
+       "      <td>TrainingContainer</td>\n",
+       "      <td>0.4</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>None</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>142</td>\n",
+       "      <td>finished</td>\n",
+       "      <td>None</td>\n",
+       "      <td>dataset_AlLi_stochiometric</td>\n",
+       "      <td>/dataset_AlLi_stochiometric</td>\n",
+       "      <td>None</td>\n",
+       "      <td>/home/kalm/dcmnts/uni/promotion/work/workshop_bochum/handson_notebook/workshop-pyiron-demonstration/notebooks/AlLi-Fit/AlLi-Fit/</td>\n",
+       "      <td>2022-05-17 15:31:32.462426</td>\n",
+       "      <td>NaT</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>pyiron@lap2p#1</td>\n",
+       "      <td>TrainingContainer</td>\n",
+       "      <td>0.4</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>None</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>143</td>\n",
+       "      <td>finished</td>\n",
+       "      <td>None</td>\n",
+       "      <td>dataset_AlLi_offstochiometric</td>\n",
+       "      <td>/dataset_AlLi_offstochiometric</td>\n",
+       "      <td>None</td>\n",
+       "      <td>/home/kalm/dcmnts/uni/promotion/work/workshop_bochum/handson_notebook/workshop-pyiron-demonstration/notebooks/AlLi-Fit/AlLi-Fit/</td>\n",
+       "      <td>2022-05-17 15:31:36.839004</td>\n",
+       "      <td>NaT</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>pyiron@lap2p#1</td>\n",
+       "      <td>TrainingContainer</td>\n",
+       "      <td>0.4</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>None</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>144</td>\n",
+       "      <td>finished</td>\n",
+       "      <td>None</td>\n",
+       "      <td>fit_dataset_full</td>\n",
+       "      <td>/fit_dataset_full</td>\n",
+       "      <td>None</td>\n",
+       "      <td>/home/kalm/dcmnts/uni/promotion/work/workshop_bochum/handson_notebook/workshop-pyiron-demonstration/notebooks/AlLi-Fit/AlLi-Fit/</td>\n",
+       "      <td>2022-05-17 16:15:23.751902</td>\n",
+       "      <td>NaT</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>pyiron@lap2p#1</td>\n",
+       "      <td>RunnerFit</td>\n",
+       "      <td>0.4</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>None</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5</th>\n",
+       "      <td>145</td>\n",
+       "      <td>finished</td>\n",
+       "      <td>None</td>\n",
+       "      <td>dataset_full</td>\n",
+       "      <td>/dataset_full</td>\n",
+       "      <td>None</td>\n",
+       "      <td>/home/kalm/dcmnts/uni/promotion/work/workshop_bochum/handson_notebook/workshop-pyiron-demonstration/notebooks/AlLi-Fit/AlLi-Fit/</td>\n",
+       "      <td>2022-05-18 12:31:07.194712</td>\n",
+       "      <td>NaT</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>pyiron@lap2p#1</td>\n",
+       "      <td>TrainingContainer</td>\n",
+       "      <td>0.4</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>None</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>6</th>\n",
+       "      <td>146</td>\n",
+       "      <td>finished</td>\n",
+       "      <td>None</td>\n",
+       "      <td>fit_data_lithium_mode2</td>\n",
+       "      <td>/fit_data_lithium_mode2</td>\n",
+       "      <td>None</td>\n",
+       "      <td>/home/kalm/dcmnts/uni/promotion/work/workshop_bochum/handson_notebook/workshop-pyiron-demonstration/notebooks/AlLi-Fit/AlLi-Fit/</td>\n",
+       "      <td>2022-05-25 09:41:18.489879</td>\n",
+       "      <td>NaT</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>pyiron@lap2p#1</td>\n",
+       "      <td>RunnerFit</td>\n",
+       "      <td>0.4</td>\n",
+       "      <td>148.0</td>\n",
+       "      <td>None</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>7</th>\n",
+       "      <td>148</td>\n",
+       "      <td>finished</td>\n",
+       "      <td>None</td>\n",
+       "      <td>fit_data_lithium_mode1</td>\n",
+       "      <td>/fit_data_lithium_mode1</td>\n",
+       "      <td>None</td>\n",
+       "      <td>/home/kalm/dcmnts/uni/promotion/work/workshop_bochum/handson_notebook/workshop-pyiron-demonstration/notebooks/AlLi-Fit/AlLi-Fit/</td>\n",
+       "      <td>2022-05-25 13:07:35.998221</td>\n",
+       "      <td>NaT</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>pyiron@lap2p#1</td>\n",
+       "      <td>RunnerFit</td>\n",
+       "      <td>0.4</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>None</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8</th>\n",
+       "      <td>151</td>\n",
+       "      <td>finished</td>\n",
+       "      <td>None</td>\n",
+       "      <td>fit_data_lithium_mode1</td>\n",
+       "      <td>/fit_data_lithium_mode1</td>\n",
+       "      <td>None</td>\n",
+       "      <td>/home/kalm/dcmnts/uni/promotion/work/workshop_bochum/handson_notebook/workshop-pyiron-demonstration/notebooks/AlLi-Fit/</td>\n",
+       "      <td>2022-05-25 13:36:24.420734</td>\n",
+       "      <td>2022-05-25 13:36:30.387102</td>\n",
+       "      <td>5.0</td>\n",
+       "      <td>pyiron@lap2p#1</td>\n",
+       "      <td>RunnerFit</td>\n",
+       "      <td>0.4</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>None</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>9</th>\n",
+       "      <td>152</td>\n",
+       "      <td>aborted</td>\n",
+       "      <td>Li</td>\n",
+       "      <td>job_a_3_4</td>\n",
+       "      <td>/job_a_3_4</td>\n",
+       "      <td>None</td>\n",
+       "      <td>/home/kalm/dcmnts/uni/promotion/work/workshop_bochum/handson_notebook/workshop-pyiron-demonstration/notebooks/AlLi-Fit/E_V_curve/</td>\n",
+       "      <td>2022-05-25 13:39:02.177848</td>\n",
+       "      <td>NaT</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>pyiron@lap2p#1</td>\n",
+       "      <td>Lammps</td>\n",
+       "      <td>0.1</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>None</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>10</th>\n",
+       "      <td>154</td>\n",
+       "      <td>aborted</td>\n",
+       "      <td>Li</td>\n",
+       "      <td>job_a_3_5</td>\n",
+       "      <td>/job_a_3_5</td>\n",
+       "      <td>None</td>\n",
+       "      <td>/home/kalm/dcmnts/uni/promotion/work/workshop_bochum/handson_notebook/workshop-pyiron-demonstration/notebooks/AlLi-Fit/E_V_curve/</td>\n",
+       "      <td>2022-05-25 13:40:33.416770</td>\n",
+       "      <td>2022-05-25 13:40:33.436097</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>pyiron@lap2p#1</td>\n",
+       "      <td>Lammps</td>\n",
+       "      <td>0.1</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>None</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>11</th>\n",
+       "      <td>156</td>\n",
+       "      <td>finished</td>\n",
+       "      <td>None</td>\n",
+       "      <td>fit_data_lithium_mode3</td>\n",
+       "      <td>/fit_data_lithium_mode3</td>\n",
+       "      <td>None</td>\n",
+       "      <td>/home/kalm/dcmnts/uni/promotion/work/workshop_bochum/handson_notebook/workshop-pyiron-demonstration/notebooks/AlLi-Fit/AlLi-Fit/</td>\n",
+       "      <td>2022-05-25 14:47:11.887961</td>\n",
+       "      <td>2022-05-25 14:47:19.052183</td>\n",
+       "      <td>7.0</td>\n",
+       "      <td>pyiron@lap2p#1</td>\n",
+       "      <td>RunnerFit</td>\n",
+       "      <td>0.4</td>\n",
+       "      <td>146.0</td>\n",
+       "      <td>None</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>12</th>\n",
+       "      <td>157</td>\n",
+       "      <td>finished</td>\n",
+       "      <td>None</td>\n",
+       "      <td>data_lithium</td>\n",
+       "      <td>/data_lithium</td>\n",
+       "      <td>None</td>\n",
+       "      <td>/home/kalm/dcmnts/uni/promotion/work/workshop_bochum/handson_notebook/workshop-pyiron-demonstration/notebooks/AlLi-Fit/AlLi-Fit/</td>\n",
+       "      <td>2022-05-25 15:08:44.597678</td>\n",
+       "      <td>NaT</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>pyiron@lap2p#1</td>\n",
+       "      <td>TrainingContainer</td>\n",
+       "      <td>0.4</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>None</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "     id    status chemicalformula                            job  \\\n",
+       "0   140  finished            None                dataset_only_Li   \n",
+       "1   141  finished            None                dataset_only_Al   \n",
+       "2   142  finished            None     dataset_AlLi_stochiometric   \n",
+       "3   143  finished            None  dataset_AlLi_offstochiometric   \n",
+       "4   144  finished            None               fit_dataset_full   \n",
+       "5   145  finished            None                   dataset_full   \n",
+       "6   146  finished            None         fit_data_lithium_mode2   \n",
+       "7   148  finished            None         fit_data_lithium_mode1   \n",
+       "8   151  finished            None         fit_data_lithium_mode1   \n",
+       "9   152   aborted              Li                      job_a_3_4   \n",
+       "10  154   aborted              Li                      job_a_3_5   \n",
+       "11  156  finished            None         fit_data_lithium_mode3   \n",
+       "12  157  finished            None                   data_lithium   \n",
+       "\n",
+       "                            subjob projectpath  \\\n",
+       "0                 /dataset_only_Li        None   \n",
+       "1                 /dataset_only_Al        None   \n",
+       "2      /dataset_AlLi_stochiometric        None   \n",
+       "3   /dataset_AlLi_offstochiometric        None   \n",
+       "4                /fit_dataset_full        None   \n",
+       "5                    /dataset_full        None   \n",
+       "6          /fit_data_lithium_mode2        None   \n",
+       "7          /fit_data_lithium_mode1        None   \n",
+       "8          /fit_data_lithium_mode1        None   \n",
+       "9                       /job_a_3_4        None   \n",
+       "10                      /job_a_3_5        None   \n",
+       "11         /fit_data_lithium_mode3        None   \n",
+       "12                   /data_lithium        None   \n",
+       "\n",
+       "                                                                                                                              project  \\\n",
+       "0    /home/kalm/dcmnts/uni/promotion/work/workshop_bochum/handson_notebook/workshop-pyiron-demonstration/notebooks/AlLi-Fit/AlLi-Fit/   \n",
+       "1    /home/kalm/dcmnts/uni/promotion/work/workshop_bochum/handson_notebook/workshop-pyiron-demonstration/notebooks/AlLi-Fit/AlLi-Fit/   \n",
+       "2    /home/kalm/dcmnts/uni/promotion/work/workshop_bochum/handson_notebook/workshop-pyiron-demonstration/notebooks/AlLi-Fit/AlLi-Fit/   \n",
+       "3    /home/kalm/dcmnts/uni/promotion/work/workshop_bochum/handson_notebook/workshop-pyiron-demonstration/notebooks/AlLi-Fit/AlLi-Fit/   \n",
+       "4    /home/kalm/dcmnts/uni/promotion/work/workshop_bochum/handson_notebook/workshop-pyiron-demonstration/notebooks/AlLi-Fit/AlLi-Fit/   \n",
+       "5    /home/kalm/dcmnts/uni/promotion/work/workshop_bochum/handson_notebook/workshop-pyiron-demonstration/notebooks/AlLi-Fit/AlLi-Fit/   \n",
+       "6    /home/kalm/dcmnts/uni/promotion/work/workshop_bochum/handson_notebook/workshop-pyiron-demonstration/notebooks/AlLi-Fit/AlLi-Fit/   \n",
+       "7    /home/kalm/dcmnts/uni/promotion/work/workshop_bochum/handson_notebook/workshop-pyiron-demonstration/notebooks/AlLi-Fit/AlLi-Fit/   \n",
+       "8             /home/kalm/dcmnts/uni/promotion/work/workshop_bochum/handson_notebook/workshop-pyiron-demonstration/notebooks/AlLi-Fit/   \n",
+       "9   /home/kalm/dcmnts/uni/promotion/work/workshop_bochum/handson_notebook/workshop-pyiron-demonstration/notebooks/AlLi-Fit/E_V_curve/   \n",
+       "10  /home/kalm/dcmnts/uni/promotion/work/workshop_bochum/handson_notebook/workshop-pyiron-demonstration/notebooks/AlLi-Fit/E_V_curve/   \n",
+       "11   /home/kalm/dcmnts/uni/promotion/work/workshop_bochum/handson_notebook/workshop-pyiron-demonstration/notebooks/AlLi-Fit/AlLi-Fit/   \n",
+       "12   /home/kalm/dcmnts/uni/promotion/work/workshop_bochum/handson_notebook/workshop-pyiron-demonstration/notebooks/AlLi-Fit/AlLi-Fit/   \n",
+       "\n",
+       "                    timestart                   timestop  totalcputime  \\\n",
+       "0  2022-05-17 15:31:30.240841                        NaT           NaN   \n",
+       "1  2022-05-17 15:31:31.233602                        NaT           NaN   \n",
+       "2  2022-05-17 15:31:32.462426                        NaT           NaN   \n",
+       "3  2022-05-17 15:31:36.839004                        NaT           NaN   \n",
+       "4  2022-05-17 16:15:23.751902                        NaT           NaN   \n",
+       "5  2022-05-18 12:31:07.194712                        NaT           NaN   \n",
+       "6  2022-05-25 09:41:18.489879                        NaT           NaN   \n",
+       "7  2022-05-25 13:07:35.998221                        NaT           NaN   \n",
+       "8  2022-05-25 13:36:24.420734 2022-05-25 13:36:30.387102           5.0   \n",
+       "9  2022-05-25 13:39:02.177848                        NaT           NaN   \n",
+       "10 2022-05-25 13:40:33.416770 2022-05-25 13:40:33.436097           0.0   \n",
+       "11 2022-05-25 14:47:11.887961 2022-05-25 14:47:19.052183           7.0   \n",
+       "12 2022-05-25 15:08:44.597678                        NaT           NaN   \n",
+       "\n",
+       "          computer           hamilton hamversion  parentid masterid  \n",
+       "0   pyiron@lap2p#1  TrainingContainer        0.4       NaN     None  \n",
+       "1   pyiron@lap2p#1  TrainingContainer        0.4       NaN     None  \n",
+       "2   pyiron@lap2p#1  TrainingContainer        0.4       NaN     None  \n",
+       "3   pyiron@lap2p#1  TrainingContainer        0.4       NaN     None  \n",
+       "4   pyiron@lap2p#1          RunnerFit        0.4       NaN     None  \n",
+       "5   pyiron@lap2p#1  TrainingContainer        0.4       NaN     None  \n",
+       "6   pyiron@lap2p#1          RunnerFit        0.4     148.0     None  \n",
+       "7   pyiron@lap2p#1          RunnerFit        0.4       NaN     None  \n",
+       "8   pyiron@lap2p#1          RunnerFit        0.4       NaN     None  \n",
+       "9   pyiron@lap2p#1             Lammps        0.1       NaN     None  \n",
+       "10  pyiron@lap2p#1             Lammps        0.1       NaN     None  \n",
+       "11  pyiron@lap2p#1          RunnerFit        0.4     146.0     None  \n",
+       "12  pyiron@lap2p#1  TrainingContainer        0.4       NaN     None  "
+      ]
+     },
+     "execution_count": 14,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "pr.job_table()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "For comparison, here is the energy-volume curve from before:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "metadata": {
+    "scrolled": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "822a592896f64d9bafa3369cfde4952e",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "image/png": 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",
+      "text/html": [
+       "\n",
+       "            <div style=\"display: inline-block;\">\n",
+       "                <div class=\"jupyter-widgets widget-label\" style=\"text-align: center;\">\n",
+       "                    Figure 1\n",
+       "                </div>\n",
+       "                <img 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' width=640.0/>\n",
+       "            </div>\n",
+       "        "
+      ],
+      "text/plain": [
+       "Canvas(toolbar=Toolbar(toolitems=[('Home', 'Reset original view', 'home', 'home'), ('Back', 'Back to previous …"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "_, plot = data_full.plot.energy_volume()\n",
+    "_, plot = data_lithium.plot.energy_volume()\n",
+    "\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Introduction of the `RunnerFit` job\n",
+    "\n",
+    "pyiron and the RuNNer Fortran program communicate via a custom job type called `RunnerFit`. Here, we add a new job to the project via `create_job` and give it the name `fit_data_lithium`."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 17,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "mode1 = pr.create_job(RunnerFit, 'fit_data_lithium_mode1')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Every `RunnerFit` job is initialized with a sensible choice of input parameters for RuNNer and an empty storage for training structures. This information can easily be accessed through the `input` property.  "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 18,
+   "metadata": {
+    "scrolled": true
+   },
+   "outputs": [
+    {
+     "data": {
+      "application/json": {
+       "parameters": {
+        "bond_threshold": "0.5",
+        "center_symmetry_functions": "1",
+        "cutoff_type": "1",
+        "elements": "None",
+        "epochs": "30",
+        "global_activation_short": "[['t', 't', 'l']]",
+        "global_hidden_layers_short": "2",
+        "global_nodes_short": "[[15, 15]]",
+        "kalman_lambda_short": "0.98",
+        "kalman_nue_short": "0.9987",
+        "mix_all_points": "1",
+        "nguyen_widrow_weights_short": "1",
+        "nn_type_short": "1",
+        "number_of_elements": "0",
+        "optmode_charge": "1",
+        "optmode_short_energy": "1",
+        "optmode_short_force": "1",
+        "points_in_memory": "1000",
+        "precondition_weights": "1",
+        "repeated_energy_update": "1",
+        "runner_mode": "1",
+        "scale_symmetry_functions": "1",
+        "short_energy_error_threshold": "0.1",
+        "short_energy_fraction": "1.0",
+        "short_force_error_threshold": "1.0",
+        "short_force_fraction": "0.1",
+        "symfunction_short": "[('Li', 2, 'Li', 0.0, 0.0, 12.0), ('Li', 2, 'Li', 0.004675055980246072, 0.0, 12.0), ('Li', 2, 'Li', 0.010843416275634649, 0.0, 12.0), ('Li', 2, 'Li', 0.01939424193215976, 0.0, 12.0), ('Li', 2, 'Li', 0.03192971575337408, 0.0, 12.0), ('Li', 2, 'Li', 0.05159916711157465, 0.0, 12.0), ('Li', 3, 'Li', 'Li', 0.0, -1.0, 1.0, 12.0), ('Li', 3, 'Li', 'Li', 0.0, -1.0, 2.0, 12.0), ('Li', 3, 'Li', 'Li', 0.0, -1.0, 4.0, 12.0), ('Li', 3, 'Li', 'Li', 0.0, -1.0, 8.0, 12.0), ('Li', 3, 'Li', 'Li', 0.0, 1.0, 1.0, 12.0), ('Li', 3, 'Li', 'Li', 0.0, 1.0, 2.0, 12.0), ('Li', 3, 'Li', 'Li', 0.0, 1.0, 4.0, 12.0), ('Li', 3, 'Li', 'Li', 0.0, 1.0, 8.0, 12.0)]",
+        "test_fraction": "0.1",
+        "use_old_weights_charge": "0",
+        "use_old_weights_short": "0",
+        "use_short_forces": "1",
+        "use_short_nn": "1",
+        "write_weights_epoch": "5"
+       },
+       "training_data": "<pyiron_contrib.atomistics.atomistics.job.trainingcontainer.TrainingStorage object at 0x7f26c58184c0>"
+      },
+      "text/html": [
+       "<pre>DataContainer({\n",
+       "  \"parameters\": {\n",
+       "    \"runner_mode\": \"1\",\n",
+       "    \"elements\": \"None\",\n",
+       "    \"number_of_elements\": \"0\",\n",
+       "    \"bond_threshold\": \"0.5\",\n",
+       "    \"nn_type_short\": \"1\",\n",
+       "    \"use_short_nn\": \"1\",\n",
+       "    \"optmode_charge\": \"1\",\n",
+       "    \"optmode_short_energy\": \"1\",\n",
+       "    \"optmode_short_force\": \"1\",\n",
+       "    \"points_in_memory\": \"1000\",\n",
+       "    \"scale_symmetry_functions\": \"1\",\n",
+       "    \"cutoff_type\": \"1\",\n",
+       "    \"test_fraction\": \"0.1\",\n",
+       "    \"use_short_forces\": \"1\",\n",
+       "    \"epochs\": \"30\",\n",
+       "    \"kalman_lambda_short\": \"0.98\",\n",
+       "    \"kalman_nue_short\": \"0.9987\",\n",
+       "    \"mix_all_points\": \"1\",\n",
+       "    \"nguyen_widrow_weights_short\": \"1\",\n",
+       "    \"repeated_energy_update\": \"1\",\n",
+       "    \"short_energy_error_threshold\": \"0.1\",\n",
+       "    \"short_energy_fraction\": \"1.0\",\n",
+       "    \"short_force_error_threshold\": \"1.0\",\n",
+       "    \"short_force_fraction\": \"0.1\",\n",
+       "    \"use_old_weights_charge\": \"0\",\n",
+       "    \"use_old_weights_short\": \"0\",\n",
+       "    \"write_weights_epoch\": \"5\",\n",
+       "    \"center_symmetry_functions\": \"1\",\n",
+       "    \"precondition_weights\": \"1\",\n",
+       "    \"global_activation_short\": \"[['t', 't', 'l']]\",\n",
+       "    \"global_hidden_layers_short\": \"2\",\n",
+       "    \"global_nodes_short\": \"[[15, 15]]\",\n",
+       "    \"symfunction_short\": \"[('Li', 2, 'Li', 0.0, 0.0, 12.0), ('Li', 2, 'Li', 0.004675055980246072, 0.0, 12.0), ('Li', 2, 'Li', 0.010843416275634649, 0.0, 12.0), ('Li', 2, 'Li', 0.01939424193215976, 0.0, 12.0), ('Li', 2, 'Li', 0.03192971575337408, 0.0, 12.0), ('Li', 2, 'Li', 0.05159916711157465, 0.0, 12.0), ('Li', 3, 'Li', 'Li', 0.0, -1.0, 1.0, 12.0), ('Li', 3, 'Li', 'Li', 0.0, -1.0, 2.0, 12.0), ('Li', 3, 'Li', 'Li', 0.0, -1.0, 4.0, 12.0), ('Li', 3, 'Li', 'Li', 0.0, -1.0, 8.0, 12.0), ('Li', 3, 'Li', 'Li', 0.0, 1.0, 1.0, 12.0), ('Li', 3, 'Li', 'Li', 0.0, 1.0, 2.0, 12.0), ('Li', 3, 'Li', 'Li', 0.0, 1.0, 4.0, 12.0), ('Li', 3, 'Li', 'Li', 0.0, 1.0, 8.0, 12.0)]\"\n",
+       "  },\n",
+       "  \"training_data\": \"<pyiron_contrib.atomistics.atomistics.job.trainingcontainer.TrainingStorage object at 0x7f26c58184c0>\"\n",
+       "})</pre>"
+      ],
+      "text/plain": [
+       "DataContainer({'parameters': DataContainer({'runner_mode': 1, 'elements': None, 'number_of_elements': 0, 'bond_threshold': 0.5, 'nn_type_short': 1, 'use_short_nn': 1, 'optmode_charge': 1, 'optmode_short_energy': 1, 'optmode_short_force': 1, 'points_in_memory': 1000, 'scale_symmetry_functions': 1, 'cutoff_type': 1, 'test_fraction': 0.1, 'use_short_forces': 1, 'epochs': 30, 'kalman_lambda_short': 0.98, 'kalman_nue_short': 0.9987, 'mix_all_points': 1, 'nguyen_widrow_weights_short': 1, 'repeated_energy_update': 1, 'short_energy_error_threshold': 0.1, 'short_energy_fraction': 1.0, 'short_force_error_threshold': 1.0, 'short_force_fraction': 0.1, 'use_old_weights_charge': 0, 'use_old_weights_short': 0, 'write_weights_epoch': 5, 'center_symmetry_functions': 1, 'precondition_weights': 1, 'global_activation_short': [['t', 't', 'l']], 'global_hidden_layers_short': 2, 'global_nodes_short': [[15, 15]], 'symfunction_short': [('Li', 2, 'Li', 0.0, 0.0, 12.0), ('Li', 2, 'Li', 0.004675055980246072, 0.0, 12.0), ('Li', 2, 'Li', 0.010843416275634649, 0.0, 12.0), ('Li', 2, 'Li', 0.01939424193215976, 0.0, 12.0), ('Li', 2, 'Li', 0.03192971575337408, 0.0, 12.0), ('Li', 2, 'Li', 0.05159916711157465, 0.0, 12.0), ('Li', 3, 'Li', 'Li', 0.0, -1.0, 1.0, 12.0), ('Li', 3, 'Li', 'Li', 0.0, -1.0, 2.0, 12.0), ('Li', 3, 'Li', 'Li', 0.0, -1.0, 4.0, 12.0), ('Li', 3, 'Li', 'Li', 0.0, -1.0, 8.0, 12.0), ('Li', 3, 'Li', 'Li', 0.0, 1.0, 1.0, 12.0), ('Li', 3, 'Li', 'Li', 0.0, 1.0, 2.0, 12.0), ('Li', 3, 'Li', 'Li', 0.0, 1.0, 4.0, 12.0), ('Li', 3, 'Li', 'Li', 0.0, 1.0, 8.0, 12.0)]}), 'training_data': <pyiron_contrib.atomistics.atomistics.job.trainingcontainer.TrainingStorage object at 0x7f26c58184c0>})"
+      ]
+     },
+     "execution_count": 18,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "mode1.input"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Description of the parameters in this dictionary.\n",
+    "\n",
+    "Here, we will only explain the global keywords which are relevant for all modes. If a keyword is not specified, **RuNNer** uses default values, if possible.\n",
+    "\n",
+    "| Keyword | Default | Description |\n",
+    "|---------|---------|:-------------|\n",
+    "|runner_mode | 1| Choose the operating mode of RuNNer.\n",
+    "|symfunction_short | empty `SymmetryFunctionSet` |Specification of the symmetry functions for a specific element with a specific neighbor element combination for the short-range NN.\n",
+    "|elements | None| The element symbols of all elements in the system in arbitrary order. The number of specified elements must fit to the value of the keyword number_of_elements. Will be automatically set by `pyiron`.\n",
+    "|number_of_elements | 0| Specify the number of chemical elements in the system. Will be automatically set by `pyiron`.\n",
+    "|bond_threshold | 0.5| Threshold for the shortest bond in the structure in Bohr units. If a shorter bond occurs RuNNer will stop with an error message in runner_mode 2 and 3. In runner_mode 1 the structure will be eliminated from the data set.\n",
+    "|nn_type_short | 1| Specify the NN type of the short-range part.\n",
+    "|use_short_nn | True| Use the a short range NN. Whether an atomic or pair-based energy expression is used is determined via the keyword nn_type_short.\n",
+    "|points_in_memory | 1000| This keyword controls memory consumption and IO and is therefore important to achieve an optimum performance of RuNNer. Has a different meaning depending on the current runner_mode.\n",
+    "|cutoff_type | 1| This keyword determines the cutoff function to be used for the symmetry functions.\n",
+    "|use_short_forces | True| Use forces for fitting the short range NN weights. In runner_mode 1, the files trainforces.data, testforces.data, trainforcese.data and testforcese.data are written. In runner_mode 2, these files are needed to use the short range forces for optimizing the short range weights. However, if the training data is different, the file scaling.data changes and either one of the keywords scale_symmetry_functions or center_symmetry_functions is used, the RMSE will be different."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Adding Training Data\n",
+    "\n",
+    "As of yet, this job does not have a training dataset. However, as you already saw for the EAM potential, adding a new training dataset to the job is as simple as calling `add_training_data`:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 19,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "176"
+      ]
+     },
+     "execution_count": 19,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# The if-conditions prevents you from accidentally adding the same\n",
+    "# structures twice to the training dataset.\n",
+    "if len(mode1.training_data) == 0:\n",
+    "    mode1.add_training_data(data_lithium)\n",
+    "\n",
+    "len(mode1.training_data)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "By calling `add_training_data` multiple times, it is very easy to combine several independent training datasets for one fit."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Specification of RuNNer parameters\n",
+    "\n",
+    "While many of the default parameters in `RunnerFit` are suited for a wide range of calculations, you still need to carefully check each of them before starting a fit. Special attention must be given to the atom-centered symmetry functions as they have to be tailored to the system under investigation."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Definition of the Symmetry Functions (SFs)\n",
+    "\n",
+    "Different types of SFs for the radial and angular SFs are implemented in **RuNNer**, but only the most common types are shown here. SFs provide the input for the NN and describe the local atomic environment of each atom and are rotationally and translationally invariant. So, SFs describe the relative positions of the atoms to each other. In contrast, Cartesian coordinates describe the absolute positions to each other and change with a translation or a rotation. That means the numerical input will change with translation or rotation, but not the energy of the system. However, different numerical inputs belonging to the same energy leads to problems in fitting."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Luckily, RuNNer comes with a set of Python tools to help with their customization. The ASE interface `runnerase`, which `RunnerFit` is built on under the hood, offers some features.\n",
+    "\n",
+    "We transform the `TrainingContainer` with our lithium structures into a List of ASE Atoms objects (because `runnerase` does not operate on pyiron constructs)."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 20,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "dataset = container_to_ase(data_lithium)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### The Cutoff Function\n",
+    "\n",
+    "The cutoff function, which is included in the radial and angular SFs. The cutoff radius $R_\\mathrm{c}$ (usually $12\\,\\mathrm{bohr}$) defines how much of the local atomic environment is considered. All SFs will decrease to zero, if the atomic distance is larger than $R_\\mathrm{c}$. A decrease to exact zero is necessary for numerical reasons. There are several cutoff funtions defined in **RuNNer** and we will use here\n",
+    "\n",
+    "\\begin{equation}\n",
+    "    f_{c}(R_{ij}) = \n",
+    "    \\begin{cases}\n",
+    "    1& ~ \\text{for $R_{ij} \\leq R_{inner,c}$}\\\\\n",
+    "    0.5 * [cos(\\pi x) + 1]& ~ \\text{for $R_{inner,c} \\leq R_{ij} \\leq R_\\mathrm{c}$},\\\\\n",
+    "    0& ~ \\text{for $R_\\mathrm{c} < R_{ij}$}\n",
+    "    \\end{cases}\n",
+    "\\end{equation}\n",
+    "\n",
+    "with the atomic distance $R_{ij}$, the cutoff radius $R_\\mathrm{c}$, the inner cutoff $R_{inner,c}$ (here $=0$) and $x = \\frac{R_{ij} - R_{inner,c}}{R_\\mathrm{c} - R_{inner,c}}$."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### The Radial Symmetry Functions\n",
+    "\n",
+    "To define the parameters for the radial SFs, it is important to know which are the shortest bonds in your data set. Usually, 5-6 radial SF are used for each element pair, with different $\\eta$ values to increase the resolution for structure description. It is possible to shift the maximum of the radial SF $G^2$ by $R_{s}$\n",
+    "\n",
+    "\\begin{equation}\n",
+    "    G_{i}^{2} = \\sum_{j}^{}e^{-\\eta (R_{ij} - R_{s})^2} \\cdot f_{c}(R_{ij}).\n",
+    "\\end{equation}\n",
+    "\n",
+    "Below, the defintion of a radial SF in ``input.nn``, again ``symfunction_short`` calls to define a SF, ``Cu`` defines the specific element, ``2`` the SF type, the second ``Cu`` defines the neighboring atom, and the last three parameters define $\\eta$, $R_{s}$ and $R_\\mathrm{c}$. The gaussian exponent $\\eta$ for the radial SF are chosen to equally distribute the radial SF turning points, whereas the turning point of radial SF with min. $\\eta$ (max. contraction) is set to the specific minimum bond in your data set. There is no need to define element specific SF, also global SF are possible, which are used for every element combination. It is also possible to define for each SF a different $R_\\mathrm{c}$, but it is recommended to use only one $R_\\mathrm{c}$ for all SFs.   "
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Here, different radial parts of radial SFs with different $\\eta$ are plotted. Feel free and play around with the parameters.\n",
+    "\n",
+    "FIXME: add description of the half and turn algorithms."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 21,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "41e9e7abbe47463ab1b9c143a09b080f",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "interactive(children=(IntSlider(value=6, description='amount', max=12), Dropdown(description='algorithm', opti…"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "dee2f34cd2174348906f765bdcba9f8a",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "image/png": 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",
+      "text/html": [
+       "\n",
+       "            <div style=\"display: inline-block;\">\n",
+       "                <div class=\"jupyter-widgets widget-label\" style=\"text-align: center;\">\n",
+       "                    Figure\n",
+       "                </div>\n",
+       "                <img 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' width=600.0/>\n",
+       "            </div>\n",
+       "        "
+      ],
+      "text/plain": [
+       "Canvas(toolbar=Toolbar(toolitems=[('Home', 'Reset original view', 'home', 'home'), ('Back', 'Back to previous …"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# set up plot\n",
+    "fig, ax = plt.subplots(figsize=(6, 4))\n",
+    "\n",
+    "@widgets.interact(amount=(0, 12, 1), algorithm=['half', 'turn'])\n",
+    "def update(amount = 6, algorithm='half'):\n",
+    "    plt.clf()\n",
+    "    ax = plt.gca()\n",
+    "    radials = generate_symmetryfunctions(dataset, sftype=2, algorithm=algorithm,\n",
+    "                                         cutoff=12.0, amount=amount)\n",
+    "    radials.plot.radial(axes=ax)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### The Angular Symmetry Functions\n",
+    "\n",
+    "For the angular SF it is quite similar as for the radial SF. But here, three atomic positions are included.\n",
+    "\n",
+    "\\begin{equation}\n",
+    "    G_{i}^{3} = 2^{\\zeta - 1}\\sum_{j}^{} \\sum_{k}^{} \\left[( 1 + \\lambda \\cdot cos \\theta_{ijk})^{\\zeta} \\cdot e^{-\\eta (R_{ij}^2 + R_{ik}^2 + R_{jk}^2)} \\cdot f_{c}(R_{ij}) \\cdot f_{c}(R_{ik}) \\cdot f_{c}(R_{jk}) \\right],\n",
+    "\\end{equation}\n",
+    "\n",
+    "the angle $\\theta_{ijk} = \\frac{\\mathbf{R}_{ij} \\cdot \\mathbf{R}_{ik}}{R_{ij} \\cdot R_{ik}}$ is centered at atom $i$ and the atomic distance vector is defined as $\\mathbf{R}_{ij} = \\mathbf{R}_{i} - \\mathbf{R}_{j}$. Mostly used for the angular exponent $\\zeta = 1, 2, 4 ,16$, gaussian exponent $\\eta = 0$ and for $\\lambda$ only $+1$ or $-1$ is possible. If many atoms of each element are present, angular SFs are usually not critical and a default set of SFs can be used.\n",
+    "\n",
+    "Here a definition of an angular SF is given, which is similar to the definition of a radial SF. ``3`` defines the used type of SF, which needs the following parameters: ``Cu Cu`` to describe the neighboring atoms included in the angle, followed by $\\eta$, $\\lambda$, $\\zeta$ and $R_\\mathrm{c}$."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Below, you find different angular parts for angular SF with different $\\zeta$ and $\\lambda$ values. Fell free and play around.\n",
+    "\n",
+    "FIXME: add description of the half and turn algorithms."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 24,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "205451586897419dbba2f892f302329d",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "interactive(children=(IntSlider(value=4, description='amount', max=12), Dropdown(description='algorithm', inde…"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "27153e668edd447e85b9daa6bf507f2d",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "image/png": 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",
+      "text/html": [
+       "\n",
+       "            <div style=\"display: inline-block;\">\n",
+       "                <div class=\"jupyter-widgets widget-label\" style=\"text-align: center;\">\n",
+       "                    Figure\n",
+       "                </div>\n",
+       "                <img 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' width=600.0/>\n",
+       "            </div>\n",
+       "        "
+      ],
+      "text/plain": [
+       "Canvas(toolbar=Toolbar(toolitems=[('Home', 'Reset original view', 'home', 'home'), ('Back', 'Back to previous …"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# set up plot\n",
+    "fig, ax = plt.subplots(figsize=(6, 4))\n",
+    "\n",
+    "@widgets.interact(amount=(0, 12, 1), algorithm=['half', 'turn', 'literature'])\n",
+    "def update(amount = 4, algorithm='literature'):\n",
+    "    plt.clf()\n",
+    "    ax = plt.gca()\n",
+    "    angulars = generate_symmetryfunctions(dataset, sftype=3, amount=amount,\n",
+    "                                          algorithm=algorithm, cutoff=12.0)\n",
+    "    angulars.plot.angular(axes=ax)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "#### Adding Symmetry Functions to `RunnerFit`"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 25,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Generate radial symmetry functions.     \n",
+    "mode1.parameters.symfunction_short.reset()\n",
+    "\n",
+    "radials = generate_symmetryfunctions(dataset, sftype=2, algorithm='half',\n",
+    "                                     cutoff=12.0)\n",
+    "\n",
+    "mode1.parameters.symfunction_short += radials\n",
+    "\n",
+    "# Generate angular symmetry functions.                                                                                                                                                                                                                        \n",
+    "angulars = generate_symmetryfunctions(dataset, sftype=3, amount=4,\n",
+    "                                      algorithm='literature', cutoff=12.0)\n",
+    "\n",
+    "mode1.parameters.symfunction_short += angulars"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 27,
+   "metadata": {
+    "scrolled": true
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "<class 'pyiron_contrib.atomistics.runner.storageclasses.HDFSymmetryFunctionSet'>\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(radials.storage)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 20,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "DataContainer({'parameters': DataContainer({'runner_mode': 1, 'elements': None, 'number_of_elements': 0, 'bond_threshold': 0.5, 'nn_type_short': 1, 'use_short_nn': 1, 'optmode_charge': 1, 'optmode_short_energy': 1, 'optmode_short_force': 1, 'points_in_memory': 1000, 'scale_symmetry_functions': 1, 'cutoff_type': 1, 'test_fraction': 0.1, 'use_short_forces': 1, 'epochs': 30, 'kalman_lambda_short': 0.98, 'kalman_nue_short': 0.9987, 'mix_all_points': 1, 'nguyen_widrow_weights_short': 1, 'repeated_energy_update': 1, 'short_energy_error_threshold': 0.1, 'short_energy_fraction': 1.0, 'short_force_error_threshold': 1.0, 'short_force_fraction': 0.1, 'use_old_weights_charge': 0, 'use_old_weights_short': 0, 'write_weights_epoch': 5, 'center_symmetry_functions': 1, 'precondition_weights': 1, 'global_activation_short': [['t', 't', 'l']], 'global_hidden_layers_short': 2, 'global_nodes_short': [[15, 15]], 'symfunction_short': [('Li', 2, 'Li', 0.0, 0.0, 12.0), ('Li', 2, 'Li', 0.004675055980246072, 0.0, 12.0), ('Li', 2, 'Li', 0.010843416275634649, 0.0, 12.0), ('Li', 2, 'Li', 0.01939424193215976, 0.0, 12.0), ('Li', 2, 'Li', 0.03192971575337408, 0.0, 12.0), ('Li', 2, 'Li', 0.05159916711157465, 0.0, 12.0), ('Li', 3, 'Li', 'Li', 0.0, -1.0, 1, 12.0), ('Li', 3, 'Li', 'Li', 0.0, -1.0, 2, 12.0), ('Li', 3, 'Li', 'Li', 0.0, -1.0, 4, 12.0), ('Li', 3, 'Li', 'Li', 0.0, -1.0, 8, 12.0), ('Li', 3, 'Li', 'Li', 0.0, 1.0, 1, 12.0), ('Li', 3, 'Li', 'Li', 0.0, 1.0, 2, 12.0), ('Li', 3, 'Li', 'Li', 0.0, 1.0, 4, 12.0), ('Li', 3, 'Li', 'Li', 0.0, 1.0, 8, 12.0)]}), 'training_data': <pyiron_contrib.atomistics.atomistics.job.trainingcontainer.TrainingStorage object at 0x7fe0170a0220>})\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(mode1.input)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Calculation of Symmetry Function Values - RuNNer Mode 1"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "In **RuNNer**'s mode 1 the following steps are performed:\n",
+    "- calculation of SF values,\n",
+    "- splitting of data set in train and test data set.\n",
+    "\n",
+    "The amount of test structures is defined by the keyword ``test_fraction``. Here, ``test_fraction 0.10`` means 10% of the data set will be used for testing and is not part of the training data. ``use_short_forces`` keyword states to use also the atomic forces for the fitting process in ``mode 2``, but it is recommended to use it also in ``mode 1`` to create the necessary force files.\n",
+    "\n",
+    "| Keyword | Default | Description |\n",
+    "|---------|---------|:-------------|\n",
+    "|runner_mode | 1| \n",
+    "|symfunction_short | empty `SymmetryFunctionSet`| Specification of the symmetry functions for a specific element with a specific neighbor element combination for the short-range NN.\n",
+    "|elements | None| The element symbols of all elements in the system in arbitrary order. The number of specified elements must fit to the value of the keyword number_of_elements.\n",
+    "|number_of_elements | 0| Specify the number of chemical elements in the system.\n",
+    "|points_in_memory | 1000| This keyword controls memory consumption and IO and is therefore important to achieve an optimum performance of RuNNer. Has a different meaning depending on the current runner_mode.\n",
+    "|cutoff_type | 1| This keyword determines the cutoff function to be used for the symmetry functions.\n",
+    "|test_fraction | 0.1| Threshold for splitting between training and testing set in runner_mode 1.\n",
+    "|use_short_forces | True| Use forces for fitting the short range NN weights. In runner_mode 1, the files trainforces.data, testforces.data, trainforcese.data and testforcese.data are written. In runner_mode 2, these files are needed to use the short range forces for optimizing the short range weights. However, if the training data is different, the file scaling.data changes and either one of the keywords scale_symmetry_functions or center_symmetry_functions is used, the RMSE will be different."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 30,
+   "metadata": {
+    "scrolled": true
+   },
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "2022-05-25 15:27:31,737 - pyiron_log - WARNING - The job fit_data_lithium_mode1 is being loaded instead of running. To re-run use the argument 'delete_existing_job=True in create_job'\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Run Mode 1.\n",
+    "mode1.parameters.runner_mode = 1                                                                                                                                                \n",
+    "mode1.run()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Output Mode 1\n",
+    "\n",
+    "As said, the data set splitting and the calculation of the symmetry function values takes place here. Among general information of your data set and your SFs, you find explicitly how the data set is splitted. As shown in the example below, it is written what happens to each structure (called ``Point``) and if it goes to the training or test set and which number it has there. ``mode 1`` will prepare the necessary files for ``mode 2``:\n",
+    "* training data\n",
+    " - function.data: SF values for each atom in each structure\n",
+    " - trainstruct.data: structural information\n",
+    " - trainforces.data: force information (if force fitting is used)\n",
+    " \n",
+    "\n",
+    "* test data\n",
+    " - testing.data: SF values for each atom in each structure\n",
+    " - teststruct.data: structural information\n",
+    " - testforces.data: force information (if force fitting is used)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 36,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "DataContainer({'sfvalues': <pyiron_contrib.atomistics.runner.storageclasses.HDFSymmetryFunctionValues object at 0x7f26c1357c10>, 'splittraintest': HDFSplitTrainTest(n_train=165, n_test=11)})\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(mode1.output)\n",
+    "split = mode1.output['splittraintest']\n",
+    "sfvalues = mode1.output['sfvalues'].to_runnerase()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "FIXME: write some description of the containers and what they can do."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 38,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "e6b6710b9ed94b3b82925c7623f62865",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "image/png": 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",
+      "text/html": [
+       "\n",
+       "            <div style=\"display: inline-block;\">\n",
+       "                <div class=\"jupyter-widgets widget-label\" style=\"text-align: center;\">\n",
+       "                    Figure\n",
+       "                </div>\n",
+       "                <img 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' width=640.0/>\n",
+       "            </div>\n",
+       "        "
+      ],
+      "text/plain": [
+       "Canvas(toolbar=Toolbar(toolitems=[('Home', 'Reset original view', 'home', 'home'), ('Back', 'Back to previous …"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "fig, ax = plt.subplots(1, 1)\n",
+    "split.plot.pie()\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 39,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "d891d44fba19459186b02e4effae2e02",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "image/png": 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CDBw4EImJiXJyOmTIEHz55Zf45Zdf0LFjR2zbtg1paWl49tlnCz1nwe1n+3ve6e/8oI8/efIkhBCYPHkyJk+eXOT7vXjxIqpWrVrM1vhXwb+Lzb1sh6IYDAZERUXd1X3vpKjvU8WKFfHnn3/K10+dOoW6deuW2ESOM2fOQKPRoFatWg7tgYGB8PX1LfSdL/i3tMV4N9+lxo0bo2HDhvjiiy/kMYmrV69G5cqVHZLzX3/9FVOnTsXevXuRmZnp8Bxms9nhx8j9OHHiBAAgJiam2PuYzWZUrFgRcXFxiImJQUhICCIjI9GrVy8MGTIE4eHhDxQDuQYmgOQUP/30E86fP481a9YUOdB61apVd0wA75VWq72ndlsvy549e+ReShv7pPV2bL/MBw8eXOwOvHHjxvcUz51er1GjRpg/f36RtxdMYgrOLL2feEuCh4cHWrZsiZYtW6JOnTp47rnn8PXXX8szwqOjoxEQEICVK1eiY8eOWLlyJQIDA4tMZu737/ygj7dtu/Hjxxc7IaNg4lKc4mb83st2uFfF9cgV1xv/IJ/TB3W3vYcPGuPgwYMxadIk/P7776hWrRp27NiBl156SU5oT506ha5duyIiIgLz589HSEgIPDw8sGnTJixYsED+TNzLeyi4vW3P8fbbb6Np06ZFPqZChQoAgEGDBuGhhx7CunXrsGXLFrz99tuYO3cu1q5di549e97VeybXxQSQnGLVqlXw9/fH0qVLC922du1arFu3Du+99x68vLyK3VFWr14dAHDs2DGHX7g5OTlITk4usZ6OJk2aYOvWrQ5tgYGB8im3I0eOFPvYKlWqwNvbG/n5+SUWD1D8waNmzZr4448/0LVr1/s6xXYv8VavXh1HjhyBEMLhtY4dO3bPr2uvRYsWAIDz58/LbVqtFk8//TQ+/fRTzJ07F+vXr8cLL7xQ7AFeCbbPoLu7+x233f2ublGa28HW01xwBn3BXrV7UbNmTezbtw+5ublwd3cv8j73si2qV68Oq9WKEydOoF69enJ7Wloa0tPT5X1CSXnqqacQGxuL1atXo3r16sjPz3c4/fv9998jOzsbGzZscOhtLDjUoih3u71r1qwJAPDx8bmrfUhQUBD+85//4D//+Q8uXryI5s2bY/bs2UwA6Y44BpBK3c2bN7F27Vo88sgjGDhwYKHLyJEjcf36dXkcmC3RKrijjIqKgoeHBxYtWuTwi/7jjz+G2WxG7969SyTeihUrIioqyuHi6emJKlWqoGPHjvjkk0+QkpLi8BhbPFqtFgMGDMC3335bZKJ46dKl+4rJYDAUOb5o0KBBOHfuHD788MNCt928eRMWi+W2z3sv8fbq1QupqalyKR3gVlHf4k4dF7Rjx44ie2Js47wKnkp+9tlnce3aNbz00ku4ceOG6urZ+fv7o3Pnznj//fcdklcb+21X3Gf6bpTWdrAlGrt27ZLb8vPz7/rvWZQBAwbg8uXLWLJkSaHbbH97vV4P4O62Ra9evQCgUBF0W493SX3nbUJDQ/HQQw/hyy+/xMqVKxEWFoZ27drJt9sSb/vPsdlsxvLly+/43He7vSMjI1GzZk3897//xY0bNwo9j+1zlZ+fX2if4O/vj+Dg4LsuzUSujT2AVOo2bNiA69evo2/fvkXe3qZNG1SpUgWrVq3CE088gaZNm0Kr1WLu3Lkwm83Q6XRy3a3Y2FhMnz4dPXr0QN++fXHs2DG8++67aNmypVMShEWLFqFDhw5o3rw5XnzxRYSFheH06dP44YcfkJiYCACYM2cOduzYgdatW+OFF15A/fr1cfXqVRw8eBDbtm0rNL7wbkRGRuLLL7/EuHHj0LJlS1SoUAF9+vTBs88+i6+++gr/93//hx07dqB9+/bIz89HUlISvvrqK7m23O3cbby21TuGDBmChIQEBAUF4fPPP5cP6HcyatQoZGZm4tFHH0VERARycnKwZ88efPnll6hRowaee+45h/s3a9YMDRs2lCe6NG/e/J63W2lbunQpOnTogEaNGuGFF15AeHg40tLSsHfvXvzvf//DH3/8AQC3/UzfSWlthwYNGqBNmzaIjY3F1atX4efnhzVr1iAvL+++n3PIkCH47LPPMG7cOOzfvx8PPfQQLBYLtm3bhv/85z/o168fvLy8UL9+fXz55ZeoU6cO/Pz80LBhwyLH1jZp0gQxMTH44IMPkJ6ejk6dOmH//v1YsWIF+vfvX2ioRkkYPHgwXnzxRaSmphaq79m9e3d4eHigT58+ckL+4Ycfwt/fv8gfAfbudntrNBp89NFH6NmzJxo0aIDnnnsOVatWxblz57Bjxw74+Pjg+++/x/Xr11GtWjUMHDgQTZo0QYUKFbBt2zYcOHAA8+bNK/HtQuWQk2cdkwvq06eP8PT0FBaLpdj7DB06VLi7u8ulSD788EMRHh4utFptoZIUS5YsEREREcLd3V0EBASIl19+WVy7ds3h+Tp16iQaNGhQ6HWqV68uevfuXagdwF2XUzhy5Ih49NFHha+vr/D09BR169YVkydPdrhPWlqaGDFihAgJCRHu7u4iMDBQdO3aVXzwwQfyfWzlH77++muHx9rKm9iXpblx44Z4+umnha+vrwDgUBImJydHzJ07VzRo0EDodDpRsWJFERkZKaZPny7MZvNdvce7iVcIIc6cOSP69u0r9Hq9qFy5shgzZozYvHnzXZWB+fHHH8WwYcNERESEqFChgvDw8BC1atUSo0aNEmlpaUU+Ji4uTgAQb731VqHbbNvp7bffdmgvbrvaynAcOHBAbruXz0Nxr3fq1CkxZMgQERgYKNzd3UXVqlXFI488Ir755huH+xX3mS4uhrvdDsUp7jtQMPaoqCih0+nk+nlbt24tsgxMUc8VExNTqDxRZmameOONN0RYWJj8WRo4cKA4deqUfJ89e/aIyMhI4eHh4VASpqg6gLm5uWL69Ony84WEhIjY2FiH0jtCFL8dC5ZjuZOrV68KnU4nAIijR48Wun3Dhg2icePGwtPTU9SoUUPMnTtXLn9jX+KlqNe92+0thBCHDh0Sjz32mKhUqZLQ6XSievXqYtCgQWL79u1CiFtleF577TXRpEkT4e3tLQwGg2jSpIl499137/q9kmuThHDCCF4iovvwzjvv4JVXXsHp06eLnOHpKrgdiKikMQEkIlUSQqBJkyaoVKnSXQ2yL6+4HYioNHAMIBGpisViwYYNG7Bjxw4cPnwY3333ndIhKYLbgYhKE3sAiUhVTp8+jbCwMPj6+uI///kPZs+erXRIiuB2IKLSxASQiIiIyMWwDiARERGRi2ECSERERORimAASERERuRjOAn4AVqsVqamp8Pb2vu+1PomIiMi5hBC4fv06goODodG4Zl8YE8AHkJqaipCQEKXDICIiovtw9uxZVKtWTekwFMEE8AF4e3sDuPUB8vHxUTgaIiIiuhsZGRkICQmRj+OuiAngA7Cd9vXx8WECSEREVMa48vAt1zzxTUREROTCmAASERERuRgmgEREREQuhmMAiYiIXIAQAnl5ecjPz1c6lFKn1Wrh5ubm0mP87oQJIBERUTmXk5OD8+fPIzMzU+lQnEav1yMoKAgeHh5Kh6JKTACJiIjKMavViuTkZGi1WgQHB8PDw6Nc94wJIZCTk4NLly4hOTkZtWvXdtliz7fDBJCIiKgcy8nJgdVqRUhICPR6vdLhOIWXlxfc3d1x5swZ5OTkwNPTU+mQVIcpMRERkQtwtV4wV3u/94pbh4iIiMjFMAEkIipFcXFx8PLyQlxcnNKhEJUrkiRh/fr1SodRZklCCKF0EGVVRkYGjEYjzGYzl4IjokKsVit8fHxgsVhgMBiQkZHB01LkdFlZWUhOTkZYWFihsXBPT1jl1FhWxz1zT/cfOnQo0tPTi0z0Lly4gIoVK0Kn0xX52Nu9bx6/2QNIRFRqTCYTLBYLwsLCYLFYYDKZlA6JqNwIDAwsNvmjO2MCSERUCqxWK0wmE4xGI+rXrw+j0QiTyQSr1ap0aETlAk8BPxgmgEREpSA+Ph4WiwWhoaGQJAmhoaGwWCyIj49XOjQiIiaARESlITo6GgaDASkpKRBCICUlBQaDAdHR0UqHRkTEBJCIqDRoNBrExsbCbDbj6NGjMJvNiI2N5SQQIlIF7omIiEpJbGwsDAYDkpOTYTAYEBsbq3RIREQAmAASEZUajUaDKVOmwNPTE1OmTGHvHxGpBtcCJiIqRRMmTMCECROUDoOozDKbzUhMTHRoq1SpkjLBlCNMAImIiEi1fv75ZzRr1syhbfjw4QpFU35wJZAHwEriRESkdrdbEaM840ogt8cBKUREREQuhgkgERERkYthAkhERETkYpgAEhEREbkYJoBERERELoYJIBERkQtwtaIfrvZ+7xUTQCIionLM3d0dAJCZmalwJM5le7+290+OWAiaiIioHNNqtfD19cXFixcBAHq9HpIkKRxV6RFCIDMzExcvXoSvry+0Wq3SIakSE0AiIqJyLjAwEADkJNAV+Pr6yu+bCmMCSEREVM5JkoSgoCD4+/sjNzdX6XBKnbu7O3v+7oAJIBERkYvQarVMjAgAJ4EQERERuRwmgEREREQuxiUSwDlz5kCSJIwdO1Zuy8rKwogRI1CpUiVUqFABAwYMQFpamnJBEhERETlJuU8ADxw4gPfffx+NGzd2aH/llVfw/fff4+uvv8bOnTuRmpqKxx57TKEoiYiIiJynXCeAN27cwDPPPIMPP/wQFStWlNvNZjM+/vhjzJ8/H126dEFkZCSWL1+OPXv24LffflMwYiIiIqLSV64TwBEjRqB3796IiopyaE9ISEBubq5De0REBEJDQ7F3795iny87OxsZGRkOFyIiIqKyptyWgVmzZg0OHjyIAwcOFLrtwoUL8PDwgK+vr0N7QEAALly4UOxzmkwmTJ8+vaRDJSIiInKqctkDePbsWYwZMwarVq2Cp6dniT1vbGwszGazfDl79myJPTcRERGRs5TLBDAhIQEXL15E8+bN4ebmBjc3N+zcuROLFi2Cm5sbAgICkJOTg/T0dIfHpaWl3XbZGJ1OBx8fH4cLERERUVlTLk8Bd+3aFYcPH3Zoe+655xAREYGJEyciJCQE7u7u2L59OwYMGAAAOHbsGFJSUtC2bVslQiYiIiJymnKZAHp7e6Nhw4YObQaDAZUqVZLbhw8fjnHjxsHPzw8+Pj4YNWoU2rZtizZt2igRMhEREZHTlMsE8G4sWLAAGo0GAwYMQHZ2NqKjo/Huu+8qHRYRERFRqZOEEELpIMqqjIwMGI1GmM1mjgckIiIqI3j8LqeTQIiIiIioeEwAiYiIiFwME0AiIiIiF8MEkIiIiMjFMAEkIiIicjFMAImIiIhcDBNAIiIiIhfDBJCIiIjIxTABJCIiInIxTACJiIiIXAwTQCIiIiIXwwSQiIiIyMUwASQiIiJyMUwAiYiIiFwME0AiIiIiF8MEkIiIiMjFMAEkIiIicjFMAImIiIhcDBNAIiIiIhfDBJCIiIjIxTABJCIiInIxTACJiIiIXAwTQCIiIiIXwwSQiIiIyMWUiQTwu+++w2effaZ0GERERETlgiSEEEoHcScRERE4ceIE8vPzlQ7FQUZGBoxGI8xmM3x8fJQOh4iIiO4Cj9+Am9IB3I2kpCSlQyAiIiIqN8rEKWAiIiIiKjmq6gHctWvXbW/v2LGjkyIhIiIiKr9UlQB27ty5UJskSfL/1TYGkIiIiKgsUtUp4GvXrjlcLl68iM2bN6Nly5bYsmWL0uERERERlQuq6gE0Go2F2rp16wYPDw+MGzcOCQkJCkRFREREVL6oqgewOAEBATh27JjSYRARERGVC6rqAfzzzz8drgshcP78ecyZMwdNmzZVJigiIiKickZVCWDTpk0hSRIK1qZu06YNPvnkE4WiIiIiIipfVJUAJicnO1zXaDSoUqUKPD09FYqIiIiIqPxR1RjA6tWrO1xCQkKY/BERlVNxcXHw8vJCXFyc0qEQuZwysRawWnEtQSKi+2O1WuHj4wOLxQKDwYCMjAxoNKrqk6ByjMdvlfUAEhGRazCZTLBYLAgLC4PFYoHJZFI6JCKXwh7AB8BfEERE987W++fm5oYOHTpg9+7dyMvLYy8gOQ2P3+wBJCIiJ4uPj4fFYkFoaCgkSUJoaCgsFgvi4+OVDo3IZTABJCIip4qOjobBYEBKSgqEEEhJSYHBYEB0dLTSoRG5jDKRAEZFRSE8PFzpMIiIqARoNBrExsbCbDbj6NGjMJvNiI2N5elfIicqE2MAly5disuXL2Pq1KlKh+KAYwiIiO4PZwGTknj8Vlkh6OKMGDFC6RCIiKgEaTQaTJkyBVOnTsWUKVOY/BE5WZnoAVQr/oIgIiIqe3j8VmEP4O+//46vvvoKKSkpyMnJcbht7dq1CkVFREREVH6oqs99zZo1aNeuHf7++2+sW7cOubm5+Ouvv/DTTz/BaDQqHR4RERFRuaCqBPCtt97CggUL8P3338PDwwPvvPMOkpKSMGjQIISGhiodHhEREVG5oKoE8NSpU+jduzcAwMPDAxaLBZIk4ZVXXsEHH3ygcHRERERE5YOqEsCKFSvi+vXrAICqVaviyJEjAID09HRkZmYqGRoRERFRuaGqSSAdO3bE1q1b0ahRIzz++OMYM2YMfvrpJ2zduhVdu3ZVOjwiIiKickFVCeCSJUuQlZUFAHjjjTfg7u6OPXv2YMCAAXjzzTcVjo6IiIiofGAdwAfAOkJERERlD4/fKhsDSERERESljwkgERERkYthAkhERETkYpgAEhEREbkYVSSAoaGhGDlyJLZs2YK8vDylwyEiIiIq11SRAH7++efQ6XQYMWIEKleujCeeeAKrVq1Cenq60qERERERlTuqKwPz119/YcOGDfjuu++QmJiIdu3aoW/fvujbty/Cw8OVDs8Bp5ETERGVPTx+q6QH0F6DBg0QGxuL3377DadPn8ZTTz2F7du3o2HDhmjYsCF++OEHpUMkIiIiKtNU1wNYnMzMTMTHx8Pb2xtRUVFKhwOAvyCIiIjKIh6/VbYU3O3o9Xo8+uijSodBREREVOap7hQwEREREZUuJoBERERELqbcJoDLli1D48aN4ePjAx8fH7Rt2xY//vijfHtWVhZGjBiBSpUqoUKFChgwYADS0tIUjJiIiIjIOVSdAGZkZGD9+vX4+++/7/mx1apVw5w5c5CQkIDff/8dXbp0Qb9+/fDXX38BAF555RV8//33+Prrr7Fz506kpqbiscceK+m3QERERKQ6qpoFPGjQIHTs2BEjR47EzZs30aRJE5w+fRpCCKxZswYDBgx4oOf38/PD22+/jYEDB6JKlSpYvXo1Bg4cCABISkpCvXr1sHfvXrRp0+auno+ziIiIiMoeHr9V1gO4a9cuPPTQQwCAdevWQQiB9PR0LFq0CLNmzbrv583Pz8eaNWtgsVjQtm1bJCQkIDc316GcTEREBEJDQ7F3794Hfh9EREREaqaqBNBsNsPPzw8AsHnzZgwYMAB6vR69e/fGiRMn7vn5Dh8+jAoVKkCn0+H//u//sG7dOtSvXx8XLlyAh4cHfH19He4fEBCACxcuFPt82dnZyMjIcLgQERERlTWqSgBDQkKwd+9eWCwWbN68Gd27dwcAXLt2DZ6envf8fHXr1kViYiL27duHl19+GTExMTh69Oh9x2cymWA0GuVLSEjIfT8XERERkVJUlQCOHTsWzzzzDKpVq4agoCB07twZwK1Tw40aNbrn5/Pw8ECtWrUQGRkJk8mEJk2a4J133kFgYCBycnKQnp7ucP+0tDQEBgYW+3yxsbEwm83y5ezZs/ccExEREZHSVLUSyH/+8x+0atUKZ8+eRbdu3aDR3MpPw8PDH2gMoI3VakV2djYiIyPh7u6O7du3yxNLjh07hpSUFLRt27bYx+t0Ouh0ugeOg4iIiEhJqkoAAaBFixZo3LgxkpOTUbNmTbi5uaF37973/DyxsbHo2bMnQkNDcf36daxevRo///wz4uPjYTQaMXz4cIwbNw5+fn7w8fHBqFGj0LZt27ueAUxERERUVqkqAczMzMSoUaOwYsUKAMDx48cRHh6OUaNGoWrVqpg0adJdP9fFixcxZMgQnD9/HkajEY0bN0Z8fDy6desGAFiwYAE0Gg0GDBiA7OxsREdH49133y2V90VERESkJqqqAzhmzBj8+uuvWLhwIXr06IE///wT4eHh+O677zBt2jQcOnRI6RAdsI4QERFR2cPjt8p6ANevX48vv/wSbdq0gSRJcnuDBg1w6tQpBSMjIiIiKj9UNQv40qVL8Pf3L9RusVgcEkIiIiIiun+qSgBbtGiBH374Qb5uS/o++uij287OJSIiIqK7p6pTwG+99RZ69uyJo0ePIi8vD++88w6OHj2KPXv2YOfOnUqHR0RERFQuqKoHsEOHDkhMTEReXh4aNWqELVu2wN/fH3v37kVkZKTS4RERERGVC6qaBVzWcBYRERFR2cPjt8pOAaekpNz29tDQUCdFQkRERFR+qSoBrFGjxm1n++bn5zsxGiIiIqLySVUJYMFCz7m5uTh06BDmz5+P2bNnKxQVERERUfmiqgSwSZMmhdpatGiB4OBgvP3223jssccUiIqIiIiofFHVLODi1K1bFwcOHFA6DCIiIqJyQVU9gBkZGQ7XhRA4f/48pk2bhtq1aysUFREREVH5oqoE0NfXt9AkECEEQkJCsGbNGoWiIiIiIipfVJUA7tixw+G6RqNBlSpVUKtWLbi5qSpUIiIiojJLVVlVp06dlA6BiIiIqNxTPAHcsGHDXd+3b9++pRgJERERkWtQPAHs37//Xd1PkiQWgiYiIiIqAYongFarVekQiIiIiFxKmagDSEREREQlR/EewIIsFgt27tyJlJQU5OTkONw2evRohaIiIiIiKj9UlQAeOnQIvXr1QmZmJiwWC/z8/HD58mXo9Xr4+/szASQiIiIqAao6BfzKK6+gT58+uHbtGry8vPDbb7/hzJkziIyMxH//+1+lwyMiIiIqF1SVACYmJuLVV1+FRqOBVqtFdnY2QkJCEBcXh9dff13p8IiIiIjKBVUlgO7u7tBoboXk7++PlJQUAIDRaMTZs2eVDI2IiIio3FDVGMBmzZrhwIEDqF27Njp16oQpU6bg8uXL+Pzzz9GwYUOlwyMiIiIqF1TRA2gr8PzWW28hKCgIADB79mxUrFgRL7/8Mi5duoQPPvhAyRCJiIiIyg1V9ABWrVoVQ4cOxbBhw9CiRQsAt04Bb968WeHIiIiIiMofVfQAjhgxAt988w3q1auHhx56CJ9++ikyMzOVDouIiIioXFJFAjh58mScPHkS27dvR3h4OEaOHImgoCC88MIL2Ldvn9LhEREREZUrqkgAbTp37owVK1bgwoULmDdvHv7++2+0bdsWDRo0wPz585UOj4iIiKhckIQQQukgbueHH37AkCFDkJ6eLk8WUYuMjAwYjUaYzWb4+PgoHQ4RERHdBR6/VdYDaJOZmYlPP/0UnTp1Qt++fVGpUiXMnj1b6bCIiIiIygVVzAK22bNnDz755BN8/fXXyMvLw8CBAzFz5kx07NhR6dCIiIiIyg1VJIBxcXFYvnw5jh8/jhYtWuDtt9/GU089BW9vb6VDIyIiIip3VJEAvv322xg8eDC+/vprrvhBREREVMpUkQCmpqbC3d1d6TCIiIiIXIIqJoEw+SMiIiJyHlUkgERERETkPEwAiYiIiFwME0AiIiIiF6OKSSD2rFYrTp48iYsXL8JqtTrcxnqARERERA9OVQngb7/9hqeffhpnzpxBwRXqJElS3VJwREREJS0uLg5Tp07F9OnTMWHCBKXDoXJKVWsBN23aFHXq1MH06dMRFBQESZIcbjcajQpFVjSuJUhERCXJarXCx8cHFosFBoMBGRkZ0Gg4Wquk8fitsjGAJ06cwFtvvYV69erB19cXRqPR4UJERFSemUwmWCwWhIWFwWKxwGQyKR0SlVOqSgBbt26NkydPKh0GERGR01mtVphMJhiNRtSvXx9GoxEmk6nQeHiikqCqMYCjRo3Cq6++igsXLqBRo0aFCkQ3btxYociIiIhKV3x8PCwWCxo1agRJkhAaGorDhw8jPj4ePXv2VDo8KmdUNQawqHEOkiRBCKHKSSAcQ0BERCXFNv7Pzc0NHTp0wO7du5GXl8dxgKWAx2+V9QAmJycrHQIREZEiNBoNYmNj8eabb+Lo0aMwm82YNWsWkz8qFarqASxr+AuCiIhKEmcBOweP3yqbBAIAp06dwqhRoxAVFYWoqCiMHj0ap06dUjosIiKiUqfRaDBlyhR4enpiypQpTP6o1KiqBzA+Ph59+/ZF06ZN0b59ewDAr7/+ij/++APff/89unXrpnCEjvgLgoiIqOzh8VtlCWCzZs0QHR2NOXPmOLRPmjQJW7ZswcGDBxWKrGj8ABEREZU9PH6r7BTw33//jeHDhxdqHzZsGI4ePapARERERETlj6oSwCpVqiAxMbFQe2JiIvz9/Z0fEBEREVE5pKoyMC+88AJefPFF/PPPP2jXrh2AW2MA586di3HjxikcHREREVH5oKoxgEIILFy4EPPmzUNqaioAIDg4GK+99hpGjx4NSZIUjtARxxAQERGVPTx+qywBtHf9+nUAgLe3t8KRFI8fICIiorKHx2+VnQK2p+bEj4iIiKgsUzwBbN68ObZv346KFSuiWbNmtz3Nq7YyMERERERlkeIJYL9+/aDT6eT/q22cHxEREVF5o9oxgGUBxxAQERGVPTx+q6wOYHh4OK5cuVKoPT09HeHh4QpERERERFT+qCoBPH36NPLz8wu1Z2dn43//+58CERERERGVP4qPAQSADRs2yP+Pj4+H0WiUr+fn52P79u0ICwtTIjQiIiKickcVCWD//v0BAJIkISYmxuE2d3d31KhRA/PmzVMgMiIiIqLyRxUJoNVqBQCEhYXhwIEDqFy5ssIREREREZVfqkgAbZKTk5UOgYiIiKjcU9UkkNGjR2PRokWF2pcsWYKxY8fe03OZTCa0bNkS3t7e8Pf3R//+/XHs2DGH+2RlZWHEiBGoVKkSKlSogAEDBiAtLe1B3gIRERGR6qkqAfz222/Rvn37Qu3t2rXDN998c0/PtXPnTowYMQK//fYbtm7ditzcXHTv3h0Wi0W+zyuvvILvv/8eX3/9NXbu3InU1FQ89thjD/w+iIiIiNRMVYWgPT09ceTIEdSqVcuh/eTJk2jYsCGysrLu+7kvXboEf39/7Ny5Ex07doTZbEaVKlWwevVqDBw4EACQlJSEevXqYe/evWjTps0dn5OFJImIiMoeHr9V1gNYq1YtbN68uVD7jz/++MCFoM1mMwDAz88PAJCQkIDc3FxERUXJ94mIiEBoaCj27t37QK9FREREpGaqmgQybtw4jBw5EpcuXUKXLl0AANu3b8e8efOwcOHC+35eq9WKsWPHon379mjYsCEA4MKFC/Dw8ICvr6/DfQMCAnDhwoUinyc7OxvZ2dny9YyMjPuOiYiIiEgpqkoAhw0bhuzsbMyePRszZ84EANSoUQPLli3DkCFD7vt5R4wYgSNHjmD37t0PFJ/JZML06dMf6DmIiIiIlKaqU8AA8PLLL+N///sf0tLSkJGRgX/++eeBkr+RI0di48aN2LFjB6pVqya3BwYGIicnB+np6Q73T0tLQ2BgYJHPFRsbC7PZLF/Onj1733ERERERKUV1CaBNlSpVUKFChft+vBACI0eOxLp16/DTTz8VWkouMjIS7u7u2L59u9x27NgxpKSkoG3btkU+p06ng4+Pj8OFiIiIqKxR1SngtLQ0jB8/Htu3b8fFixdRcIJyfn7+XT/XiBEjsHr1anz33Xfw9vaWx/UZjUZ4eXnBaDRi+PDhGDduHPz8/ODj44NRo0ahbdu2dzUDmIiIiKisUlUCOHToUKSkpGDy5MkICgqCJEn3/VzLli0DAHTu3Nmhffny5Rg6dCgAYMGCBdBoNBgwYACys7MRHR2Nd999975fk4iIiKgsUFUdQG9vb/zyyy9o2rSp0qHcFdYRIiIiKnt4/FbZGMCQkJBCp32JiIiIqGSpKgFcuHAhJk2ahNOnTysdChEREVG5paoxgE888QQyMzNRs2ZN6PV6uLu7O9x+9epVhSIjIiIiKj9UlQA+yGofRERERHR3VJUAxsTEKB0CERERUbmnqgQwJSXltreHhoY6KRIiIiKi8ktVCWCNGjVuW/vvXgpBExEREVHRVJUAHjp0yOF6bm4uDh06hPnz52P27NkKRUVERERUvqgqAWzSpEmhthYtWiA4OBhvv/02HnvsMQWiIiIiIipfVFUHsDh169bFgQMHlA6DiIiIqFxQVQ9gRkaGw3UhBM6fP49p06ahdu3aCkVFREREVL6oqgfQ19cXFStWlC9+fn6oX78+9u7di2XLlikdHhHRPdu2bRsaNmyIbdu2KR0KEZFMEipafHfnzp0O1zUaDapUqYJatWrBzU1VnZUAuJg0Ed2eEAIVK1ZERkYGfHx8cO3atdtWOiAi5+DxWyWngKdMmYJJkyahU6dOAIBr166hYsWKCkdFRPRgNm3aBLPZDAAwm83YtGkTevfurXBUREQq6QHUarU4f/48/P39AQA+Pj5ITExEeHi4wpHdHn9BEFFxhBAwGo24fv06dDodsrOz4e3tDbPZzF5AIoXx+K2SMYAFc1AV5KRERA/k6NGjuH79OrRaLbKzs6HVanH9+nUcPXpU6dCIiNSRABIRlTfffPMNgFsrGGk0GnklI1s7EZGSVJEASpKE69evIyMjQz49cuPGDWRkZDhcyqu4uDh4eXkhLi5O6VCIqIT0799f/r/9WQ37diIipagiARRCoE6dOnLplxs3bqBZs2ZyORhbeZjyyGq1YsaMGcjKysKMGTNgtVqVDomISsCXX34p/98+AbRvJyJSiipmAe/YsUPpEBRjMplgsVgQFhaG5ORkmEwmvPHGG0qHRUQP6OOPP5b/r9Fo5B93H3/8Md566y2lwiIiAqCSWcBl1YPOIrJarfDx8YGbmxs6dOiA3bt3Iy8vDxkZGdBoVNE5S0T3ydfXVy4BY89oNCI9Pd35ARGRjLOAVXIK2FXFx8fDYrEgNDQUkiQhNDQUFosF8fHxSodGVGapZUytTqe74/+JiJTCBFBB0dHRMBgMSElJgRACKSkpMBgMiI6OVjo0ojJJTWNqbQWf7cvA2LcTESmJCaCCNBoNYmNjYTabcfToUZjNZsTGxvL0L9F9sh9Ta7FYYDKZFIvFy8sLwK0yMDqdTi4DY2snIlISxwA+gJIYQ2AbB2ixWGAwGDj+j+g+qW1MbWJiIpo1a+aw6ocQAocOHULTpk2dHg8R/YtjAFXWA7h8+XJkZmYqHYZTaTQaTJkyBZ6enpgyZQqTP6L7pLYxtV999RWAf0vA2P61tRMRKUlVPYABAQG4efMmHn/8cQwfPhzt2rVTOqTb4i8IIvVQWw+gXq/HzZs3Adwqdm/b1Xp5ebncD10iteHxW2U9gOfOncOKFStw+fJldO7cGREREZg7dy4uXLigdGhEpHJqG1Pr7u4u/9/+d7Z9OxGRUlTVA2gvLS0NK1euxIoVK5CUlIQePXpg+PDh6NOnj2pOk/IXBJG6qGlMrf3YP1uhdxuV7naJXAaP3yrrAbQXEBCADh06oG3bttBoNDh8+DBiYmJQs2ZN/Pzzz0qHR0QqpJYxtfaneI1GI+rXrw+j0Vjk7URESlBdApiWlob//ve/aNCgATp37oyMjAxs3LgRycnJOHfuHAYNGoSYmBilwyQilZowYQJu3ryJCRMmKBZDUlKS/H/7SSlF3U5EpARVJYB9+vRBSEgIPv30U7zwwgs4d+4cvvjiC0RFRQEADAYDXn31VZw9e1bhSImIihcRESGvcW5f6B24tfZ5RESEkuEREcFN6QDs+fv7Y+fOnWjbtm2x96lSpYrDWBoiIrXR6/Xo3LkzADhMSgEgtxMRKUk1PYC5ubk4ffo0KleufNv7SZKE6tWrOykqIqL7Z0v6bD9abdeJiJSmmh5Ad3d3/Pnnn0qHQURUYnx8fBxmA7vqbEMiUh/V9AACwODBg/Hxxx8rHQYRUYn5/fffIYTA77//rnQoREQy1fQAAkBeXh4++eQTbNu2DZGRkTAYDA63z58/X6HIiIiIiMoPVSWAR44cQfPmzQEAx48fVzgaIiIiovJJVQmgrWwCEREREZUeVY0BHDZsGK5fv16o3WKxYNiwYQpERERERFT+qCoBXLFiBW7evFmo/ebNm/jss88UiIiIiIio/FFFApiRkQGz2QwhBK5fv46MjAz5cu3aNWzatAn+/v5Kh0lERCVo27ZtaNiwIbZt26Z0KFRGxMXFwcvLC3FxcUqHUuapIgH09fWFn58fJElCnTp1ULFiRflSuXJlDBs2DCNGjFA6TJfALxcROYMQAv3798fRo0fRv39/CCGUDolUzmq1YsaMGcjKysKMGTNgtVqVDqlMU0UCuGPHDmzfvh1CCHzzzTf46aef5Mvu3buRkpKCN954Q+kwyz1+uYjIWX744QdYLBYAt8Z5//DDDwpHRGpnMplgsVgQFhYGi8UCk8mkdEhlmiRU9LPrzJkzCA0Ndaicr2YZGRkwGo0wm83losL/7Nmz8eabbyIsLAzJycmYNWsWE2+iB3Tw4EFERkYiISFBLnPl6oQQ0Ov1yMrKgiRJEELA09MTmZmZZWb/T85ltVrh4+MDNzc3dOjQAbt370ZeXh4yMjKg0dx7X1Z5O37fD1X0ANpUr14du3fvxuDBg9GuXTucO3cOAPD5559j9+7dCkdXvlmtVphMJhiNRtSvXx9GoxEmk4m9gERU4v766y9kZWU5tGVlZeGvv/5SKCJSu/j4eFgsFrmTKDQ0FBaLBfHx8UqHVmapKgH89ttvER0dDS8vLxw8eBDZ2dkAbi2g/tZbbykcXfnGLxcROcuyZcvk/9ufhLJvJ7IXHR0Ng8GAlJQUCCGQkpICg8GA6OhopUMrs1SVAM6aNQvvvfcePvzwQ7i7u8vt7du3x8GDBxWMrPzjl4uInMW+3qv96bui6sASAbc+J7GxsTCbzTh69CjMZjNiY2Pv6/Qv3aKqLXfs2DF07NixULvRaER6errzA3Ih/HIRkbN8/vnn8v/th5nYtxMVFBsbC4PBgOTkZBgMBsTGxiodUpmmqqN7YGAgTp48Wah99+7dCA8PVyAi18IvFxE5m06nUzoEKiM0Gg2mTJkCT09PTJkyhR0UD0hVW++FF17AmDFjsG/fPkiShNTUVKxatQrjx4/Hyy+/rHR45R6/XETkDH379gUASJKEnJwceeavrZ2oOBMmTMDNmzcxYcIEpUMp89yUDsDepEmTYLVa0bVrV2RmZqJjx47Q6XQYP348Ro0apXR4LmHChAn8YhFRqWrcuDE2bNgAIYRcBsbWTkTOoaoEUJIkvPHGG3jttddw8uRJ3LhxA/Xr10eFChWUDo2IiEpIo0aN7qmdiEqeKs/xeXh4oH79+mjVqhWTPyKicmbkyJH31E5EJU9VPYBZWVlYvHgxduzYgYsXLxYqQsxSMEREZd+lS5fk/9vXAbRvJ6LSpaoEcPjw4diyZQsGDhyIVq1acUkgIqJyzrb0JBE5l6oSwI0bN2LTpk1o37690qEQEVEJy8zMRFJSknzdtvTk1atXYTab5fvo9XqlQiRyGaoaA1i1alV4e3srHQYREZWCpKQkREZGytftl560vw8RlT5VJYDz5s3DxIkTcebMGaVDISKiEhYREYGEhAT8+OOPAOCw9CQA/Pjjj4iIiFAyRCKXoapTwC1atEBWVhbCw8Oh1+sd1gMGgKtXryoUGRERPSi9Xo/mzZvL1+2XngSAHj16KBUakctRVQL41FNP4dy5c3jrrbcQEBDgMpNA6tati5MnT6JWrVo4duyY0uEQEZW6tLQ0BAQEyBNA0tLSFI6IyLWoKgHcs2cP9u7diyZNmigditPk5OTg+PHjkCQJx48fR05ODjw8PJQOi4ioVPn7+wOAvBKI7ToROYeqxgBGRETg5s2bSofhVEFBQbe9TkRUXiUkJEAIgYSEBKVDIXI5qkoA58yZg1dffRU///wzrly5goyMDIdLeZOTkyOPa7QVQ7169SpycnKUDIuIiIjKOVWdArYNAO7atatDu23B8Pz8fCXCKjU9e/aU/29fDLVnz57Yvn27UmER0X1KSUnB5cuXHdr+/vtvh3/tVa5c2aEEChGRs6gqAdyxY4fSIThNZmYmfvrpJwCFi6H+9NNPLIZKVMakpKTcdhjL4MGDC7V5eXkhKSmJSSAROZ2qEsBOnTopHYLT2Bc7tS+GevjwYfl2+3IJriouLg5Tp07F9OnTMWHCBKXDISrW5cuXcfPmTbTt/TJ8KgXL7fl5ObCYL8NgrAyt278TvDKupGLvD8tw+fJlJoBE5HSqGgMIAFlZWdi/fz82btyIDRs2OFzuxa5du9CnTx8EBwdDkiSsX7/e4XYhBKZMmYKgoCB4eXkhKioKJ06cKMF3cnsRERHYt28fgMLFUPft28diqACsVitmzJiBrKwszJgxA1arVemQiO7Ip1Iw/ALC5EuVqnVRo357VKla16HdPkkkInI2VSWAmzdvRmhoKNq0aYO+ffuif//+8uXRRx+9p+eyWCxo0qQJli5dWuTtcXFxWLRoEd577z3s27cPBoMB0dHRyMrKKom3ckd6vR6tWrVCZGSkQzHUyMhItGrViqd/AZhMJlgsFoSFhcFiscBkMikdEhERUbmgqgRw1KhRePzxx3H+/HlYrVaHy71OAOnZsydmzZpVZOIohMDChQvx5ptvol+/fmjcuDE+++wzpKamFuopLG2//fYbAMgTQGzXXZ3VaoXJZJLHRxqNRphMJvYCEhERlQBVJYBpaWkYN24cAgICSvV1kpOTceHCBURFRcltRqMRrVu3xt69e0v1tQtyc3NDu3btIEkS2rVrBzc3VQ3LVEx8fDwsFovD+EiLxYL4+HilQyMiIirzVJUADhw4ED///HOpv86FCxcAoFCiGRAQIN9WlOzs7FKpTbh48WIIIbB48eISeb7yIDo6GgaDwWF8pO00PRERET0YVXU3LVmyBI8//jh++eUXNGrUCO7u7g63jx49WqHIbjGZTJg+fbqiMbgKjUaD2NhYvPnmm/L4yFmzZkGjUdVvFiIiojJJVQngF198gS1btsDT0xM///wzJEmSb5MkqcQSwMDAQAC3TjnbL72WlpaGpk2bFvu42NhYjBs3Tr6ekZGBkJCQEomJCouNjYXJZEJycjIMBgNiY2OVDomIiKhcUFV3yhtvvIHp06fDbDbj9OnTSE5Oli///PNPib1OWFgYAgMDHVbbyMjIwL59+9C2bdtiH6fT6eDj4+NwodKj0WgwZcoUeHp6YsqUKez9I1XLycm5tU/IsyD/5tU7XpBngY+PD5d+JCJFqKoHMCcnB0888USJHOhv3LiBkydPyteTk5ORmJgIPz8/hIaGYuzYsZg1axZq166NsLAwTJ48GcHBwejfv/8DvzaVnAkTJrAANJUJly9fRseOHYGMI8jMOHLH+7sD6NixY6Gl44iInEFVCWBMTAy+/PJLvP766w/8XL///jsefvhh+brt1G1MTAw+/fRTTJgwARaLBS+++CLS09PRoUMHbN68GZ6eng/82kTkeipXroxdu3ah7SP/gdHvzkWezVdTsXfju3jjjTecEB0RkSNVJYD5+fmIi4tDfHw8GjduXGgSyPz58+/6uTp37gwhRLG3S5KEGTNmYMaMGfcdb3nUqlUrJCQkIDIyEvv371c6HKIyw8PD41ZlADcDtF5+d36AmxkZGRnw8PC4833JpdStWxcnT55ErVq1cOzYMaXDoXJKVQng4cOH0axZMwDAkSOOp1DsJ4RQ6cjNzcWBAwcgSRIOHDiA3NzcQkk4ERGVnpycHBw/fhySJOH48ePIycnhjwQqFapKAHfs2KF0CKUuJSWl0Jifv//+2+Ffe5UrV3baQvHh4eGFrp89e9Ypr01EREXvh//3v/8pFA2VZ6pKAJcvX44nn3wSXl5eSodSKlJSUhAREYGbN28WefvgwYMLtXl5eSEpKanUk8Dc3Fx5J2M7df6///2PvYBERE6Sk5ODc+fOAfh3P3zu3Dn2AlKpUFUCOGnSJIwZMwaPP/44hg8fjnbt2ikdUom6fPkybt68iba9X4ZPpX8Hiefn5cBivgyDsTK0bv9+yTOupGLvD8tw+fLlUk8ABw0aJP8/LCxMXpt40KBBWLduXam+NhERAU888YT8f41GI699/sQTT3A/TCVOVQnguXPn8P333+PTTz9F586dER4ejueeew4xMTFy8ebywKdSMPwCwhzaqlStq1A0QGZmJtavXw8A8PX1Rf369XHt2jWkp6dj/fr1yMzMhF6vVyw+IiJXYNsPA3CYxGjfTlRSVJUAurm54dFHH8Wjjz6KtLQ0rFy5EitWrMDkyZPRo0cPDB8+HH369CmzBYELFoq9IycVik1KSpL/HxISAkmSEBISgvT0dPn25s2bl2oMRFR+FTX2GVDP+GciV6SqBNBeQEAAOnTogOPHj+P48eM4fPgwYmJiULFiRSxfvhydO3dWOsR7ptZCsREREdi/fz9atWqFlJQUhIaGIiUlBQCwf/9+RERElOrrE1H5daexz4Cy45/VZNu2bYiKiiqynaikqS4BTEtLw+eff47ly5fjn3/+Qf/+/bFx40ZERUXBYrFgxowZiImJwZkzZ5QO9Z6ptVCsXq9Hy5Yt0b17d2zZsgVHjx6F2WxG9+7d0bJly1J9bSIq34ob+wyoY/yzmixcuLDY9q5duzo3GCr3VJUA9unTB/Hx8ahTpw5eeOEFDBkyBH5+/xZUNRgMePXVV/H2228rGOX9U3uh2E2bNsHNzU2eALJp0yanvC4RlX9FjX0GlB3/rDYbN26U/28/BtC+naikqCoB9Pf3x86dO9G2bdti71OlShU5QaGSpdVq0b9/f3z33Xfo168ftFqt0iERlTkZV1Idrt+ul4uoOPbVGIhKg6oSwI8//viO95EkCdWrV3dCNKVHzQeIyZMnY/369Zg8ebLTX5uoLKtcuTK8vLyw94dld/0YLy8vVK5cuRSjorKoYDUGotKgigRw7969uHLlCh555BG57bPPPsPUqVNhsVjQv39/LF68GDqdTsEoHxwPEGVbXFwcpk6diunTp2PChAlKh0MqExoaiqSkpCJX+hk8eDBWrlyJevXqOdzGma5kk5mZKf+/qGoMBw8eREREBEtyUYlRRQI4Y8YMdO7cWU4ADx8+jOHDh2Po0KGoV68e3n77bQQHB2PatGnKBvqAeIAou6xWK2bMmIGsrCzMmDED48ePL7PliKj0hIaGFvt9rVevHsspUbHsy3EVrMYAAJGRkUhISOBniEqMKhLAxMREzJw5U76+Zs0atG7dGh9++CGAW7+Gpk6dWuYTQIAHiLLKZDLBYrHI43JMJlOpz84mKg/uuf4p4LQaqGoSERGBAwcOoGXLljCbzXI1BgA4cOAANBoNS3JRiVJFF8a1a9cQEBAgX9+5cyd69uwpX2/ZsiXOnj2rRGhEsFqtMJlMMBqNqF+/PoxGI0wmk7xME1FZERcXBy8vL8TFxTntNW31T90zjiDz9Ja7urhnHHFKDVQ10ev1aNGiBUaOHAkA8gSQkSNHokWLFmjevDlP/1KJUkUCGBAQIH/Yc3JycPDgQbRp00a+/fr163B3d1cqvHIrJSUFBw8edLjYV+YveJv96QhnUeKAVVB8fDwsFgtCQ0MhSRJCQ0NhsVgQHx+vWExE96rgMAZn/YCx1T/N9WkIfY3ud3XJ9WmIXbt2ueT453feeQfArQmP9teJSpoqTgH36tULkyZNwty5c7F+/Xro9Xo89NBD8u1//vknatasqWCE5c+dqvOroTK/1WrFxIkTIUkSJk6cqNi4u+joaBgMBodxOQaDAdHR0U6Pheh+KTWM4Z7rnwJOr4GqJhqNBqNHj8bixYsxevRojjWmUqOKBHDmzJl47LHH0KlTJ1SoUAErVqxw+OJ/8skn6N69u4IRlj/FVedXU2X+0aNHF7q+ZMkSp7y2PY1Gg9jYWLz55pvyuJxZs2Zxx0xlRsFhDFevXoXJZEJsbCw/xyoUExODRYsWISYmRulQqBxTxTffdorg2rVruHbtGh599FGH27/++mtMnTpVoejKJ9vAbB+jEUaffy9+flUQElYPfn5VHNp9jEanDsq2Wq1YunQpgH8r4i9dulSxcXexsbEwGAxITk6GwWBAbGysInHQnfXq1QtarRa9evVSOhTV4DAGIipIFT2ANkajsch2++XgqGTYBmYj4wgyM47c8f7ugFMHZX/00Ufy/+0r4n/00Ud48cUXnRKDPY1GgylTpmDq1KmYMmUKe01UKi8vD5s3b4YQAps3b0ZeXh7c3FS1m1MEhzEQUUE8iqnAzJkzIUmSQymc0navA7OdNSg7MzMTBw8exEsvvQTg34r4vr6+AICXXnrJoWCqM02YMAE3b95kEWgV69GjB4QQ0Gg0EEKgR48eSoekCrZhDPblRXj6l8i18duvsPz8fKxfvx4AsH79euTn5zvldQsOzL7TBW4GpwzKTkpKQmRkpHzdviK+/X2ICsrLy8P27dsB/DtsYPv27cjLy1MyLNXgMAYisscEUGG2Qb62A5azB/1mXEnF1bRk+XLp3DGcPvorLp075tDurHWJIyIikJCQgL179wK4NVtZCCGXoNm7dy+LoVKRZs+efU/trsY2jMHT05PDGIhIXWMAXUlmZib++usvrFq1CsC/49xWrVqFMWPGoEGDBqVa9FOt6xLr9Xp5NZTAwEBcuHBBPmUVGBjoUB+SyF5xtUJZQ/RfEyZMUGwIQ1E/Im9XdYCISpckbF1PdM8yMjJgNBphNptvLXV0Dw4ePCif6jQYDNBqtcjPz4fFYgEAp6z5mJKSoup1iXNycqDT6eTr2dnZLlkXjO6OrXBuUZTczdm+6666juudao4Wx9l1R9XE1T8zzvAgx+/ygj2AComIiECXLl3w008/IScnx2G2YpcuXZxymlPt6xJ7eHggNDQUZ8+eRUhICJM/umv2M8dJWaGhoUhKSiqygoCafnASuRomgArR6/X4559/AAC5ubkO//7zzz9c8/H/W7duHSIjI7Fu3TqlQyEVs58Zbl/s2Gw2y7fzO6Wc2/3YBNTxg5PI1XAUsILsd4hhYWFFthPRndnPDLcvdlzU7URExB5ARZ04cQJA4R4LW7srKWo8InDrFJH9v/Z4iohsIiIisGXLFnTv3t2h2DEAbNmyhTPHSbWKG4tt/29B3PdRSWACqKDQ0FCcP3/eocfi8OHDLvfFvptB4oMHDy7U5sqDxMmRXq9Ht27dAMCh2DEAuZ1Ibe607ytqvwdw30clgwmggq5evQrg1pi/M2fOyEWgbe1KsF+VxFnj7i5fvoybN2+ibe+X4VMp2OG225WJ2PvDMly+fJk7QZJdvnwZlStXlieAOGvpQqL7Udy+r7j9HsB9H5UcJoAK6tSpE06cOCGXfrFvV4JtVRJJkuRVSbRabam/bk5ODnx8fOBjNMLoU3g9aD+/KoUflGeBj48PcnJySj0+G0mSoNFoYLVaFS0rAgBxcXGYOnUqpk+fzqXp7FSqVAnArb+VEEK+TqRmPpWC4RcQ5tBWpWpdhaIhV8EEUEHNmjWT/29ftsK+3ZmeeOKJQte/+eabUn/dy5cvo2PHjkDGEWRmHLmrx7gD6Nixo9N6eK5evQpJkmC1WiFJEq5evQo/Pz+nvHZBVqsVM2bMQFZWFmbMmIHx48dzVQc7CQkJcg01Iipf1PRDvKzjUUNBtsK1tkkgRqPRod1ZMjMzceDAAXz77bcO7d9++y0OHDjgUGKjNFSuXBm7du1Crk9D6Gt0v6tLrk9D7Nq1q9RXJrGpVKkShBAICwtTvGfJZDLBYrEgLCwMFosFJpNJsViI6P7Zzn4gz4L8m1fv6qLE2Q+1OHLkVgeB1Wp1uE73hz2ACnrooYcAoNAkEFu7syQlJaFVq1ZF3taqVatSr0bv4eGBjIwMZJjNgJvB4bZixwCazcjIyCj14tCZmZnYs2cPJEmCj4+PPFs7IyMD27ZtQ7t27ZxaX85qtcJkMjnMHDeZTIiNjWUvIFEZUxbOfqhJo0aNAEDuAWzUqBF7AR8AE0AF2cpUFCxbkZKSgoYNGzotjoiICOh0OmRnZxe6TafTlXoJjftZlxhwztrESUlJ8izSgol6t27dnL5UU3x8PCwWCxo1auQQS3x8PHr27Om0OIjowdnOfrR95D8w+gXf+QEAzFdTsXfju3jjjTdKOTp1se/ts0/6jhw54tTjZXnCBFBBtuLPBctW2BeFdga9Xo+wsDC5WK79lyssLKzUe7jUvFRUREQEtm7dWqi+nCRJitSXi46OhsFgcIjFYDAgOjraqXEQ0YOznf2AmwFar7scU+zmnLMfamPr/Suqnb2A94cJoILq1q0Ld3d3WK1WJCcnQ6vVQqPRoG5d58/+st+Z2E9IcdZORq1LRen1ekRFRUEIUShRj4qKcno8Go0GsbGxePPNN+VYZs2axdO/RFSuubm5IS8vr8h2uj88aijoxIkTyM3NRWhoKHx8fBAaGorc3FxFVgKxJXwFJ6TY2l3dlStXIEkSkpOTIUkSrly5olgssbGxMBgMSE5OhsFgQGxsrGKxEBE5g33yZ9/jV1RSSHeHCaCCateuDYPBgKtXr+Khhx7C1atXYTAYULt2bafH4u7uDgDw8/PDL7/8Ipc4sbW7Oj8/Pwgh5PpySpWAAW71Ak6ZMgWenp6YMmUKe/+IyKU4e5hUecW+UwXZF4G2P7V44sQJp58G3rhxI9q1a4eUlBTk5+fLcW3cuNGpcRQUGRkJSZIQGRmp+DgPNdWXmzBhAgtA497XUeUaqqRGGVdSHa7faSUQV2Nfisy+AoLtmJmZmenUagzlBRNABdWpUwctWrRAYmIikpOT4ebmhqZNm6JOnTpOj2Xp0qUAbq0GYj8GcOnSpWjbtq3T4wGA9PT0Qtd9fX2d8tpMLNTvftZRVWIN1X379kGSJOzbt0+RcaykXmqugKAmtgmKQOFqDLbb+d26d5JQululDMvIyIDRaITZbL5VzPM+/Pjjj+jVq5dchmXTpk2KlPNITExEs2bNYDQa0aFDB+zevRtmsxmHDh1C06ZNnR4P8G9BbNtpVwBO6QW8U2JRFC7O7nwHDx5EZGTkXa+jaltD1Zmle4QQcHNzk4cP5OXlOb3Qu5rZ/obOLqekJsX92Cyu+gHgej84MzMz8e2332LIkCGFjlGfffYZBgwYcM89gCVx/C7r2AOoMNvpRFsNvoSEBEUSwA0bNgAo/Otqw4YNTk0AMzMzkZSUVKj3z+ann35CmzZtSrW7PzU1Fe7u7ojs8jQMxn/XIbbm5+LmjXR4VfCFRvvv2EiL+RL+/OVrpKamutROWS3UvI7qhg0b5FULhBDYsGED+vXrp3BUpCa3q4CgVPUDtdHr9Xj22WcxZMiQQtUYnn32WYWjK7s4elxBVqsVc+bMgcFggI+PDwwGA+bMmSMfMJzp9ddfB3Dr16gQQi5KbWt3lqSkJERGRqJr165F3t61a1eH0wGlwVad31dKg3vGEfmisxyDr5QGneWYQ7uvlOb0yvzVqlWDVqtFtWrVnPaaanOvy2g5cwmtzMxMJCQk4NFHHwXw76D1Rx99FAkJCaW+vCJReWQrBm0bosSl4B4MewAVZL+qQ/Xq1XHmzBnFVnXQarXQ6/UOv670ej20Wq1T44iIiEBCQgJatWqF/Px8AI6nfbVarVNWJtm1axcaP/T4PfUAOqsyf3Z2NlJTUyGEQGpqKrKzs6HT6Zzy2mpyr8toOXMJraSkJLRo0QJA4UHrLVq0cOlTnkT3q0GDBgD+HRZku073hwmggtS0qsOxY8eQmZkJnU6H5ORk6HQ6ZGZm4tixY05d7UKv16N58+bw8PCQx+AVLExd2rO9goODkZubi90/fHzXj/Hy8kJw8N0t5fSgwsLCIISQt0tYWBhSU11vZuC9LqPlzCW0IiIi0Lx5cxw8eFAurVSpUiWYzWY0b97c6SvI2Gzbtg1jx47FwoULFSlkTvSg1FSNoazjKWAF2VZ1sO91i42NVbSum5ubG3x8fBSvrm4r7mkwGHDlyhUYDAaH9tJkW5ouISHB4bJy5UoAwMqVKwvd5qwJINnZ2bhw4YJDwe4LFy4UuY6zM8XFxcHLywtxcXFOe82Cy2jd6QI3g9OW0NLr9ejevTuAW8MqMjIy5GEV3bt3V6RkhRACQ4cOxdGjRzF06FDFyyoBwIoVKyBJElasWKF0KEQuhwmgwtSyqkPdunVRp04dWCwWVKpUCRaLBXXq1FFkWToAaN++PYBbB62MjAz5YGVrL22hoaFo3ry5w8U2G882MNv+4ozkLzMzE926dYMQwmGyjhAC3bp1w8GDBxUZW2a1WjFjxgxkZWVhxowZioxhVSNbomkrrWQb0qDUGq6bN2/GuXPnAADnzp3D5s2bFYnDxmq1YtGiRQCARYsWKf65UeJHDJGSmAAqTC2rOkiShDZt2gD4d4BtmzZtFCtZ4eXlBeBW0hMWFiYnNrZ2JdgXpVZCUlISfvnlFwCFJ+v88ssviIyMLPUJMkUxmUywWCwICwuDxWKByWRy6utnXEnF1bRk+XLp3DGcPvorLp075tDu7AK6jz32GIDCvdi2dmcSQiAmJsahLSYmRtFewBkzZgD4d4yv7boS+CNGnVJSUnDw4EGHi3091oK32faHdJcE3Tez2SwACLPZrHQoDyw/P1/o9Xqh0WiEJElCo9EIvV4v8vPzFYnnxo0bAoAwGo2id+/ewmg0CgDixo0bisRz4cIFAUC+XLhwwekxWCwW8fvvvwutVisAiLCwMAFAaLVa8fvvv4uEhARhsVicGlN+fr4wGAwOfyeDweCUz82ZM2eEl5eXw9/lThcvLy9x5syZUo9NCCGmT58uAAi9Xu/w7/Tp053y+vaOHj0qbwNJkuT/Hz161KlxWCwWkZCQIA4cOCDHYPscAxAHDhxw+mdYCCFmzZrlEMusWbOcHoO9hIQEAUAkJCQoGoeSSvv7XZ6O3/eLk0AIwK0ZybbetitXrqBSpUpITk5WZEYyAMyfPx9A4bqE8+fPx+TJk50eT2BgIIB/J6QEBgY6vfdEr9cjMjISa9euRb9+/eSe2rVr1yrWK2k/k93+7+SMz41trOa9FNF1ZgHdxx57DFOnTpW/V7a/lxI9gPY9w/af26SkpCILDZdmHPafVfveUYvFgpYtWzp9hrTVaoXJZHKYrW0ymRQfj+3qLl++jJs3b95zoffLly+zHutd4qdbBdQw9sQ2I/nq1at46KGHcPXqVcVmJAPApEmTABQ+1Wlrd5bMzEz8+OOPAAqfyvvxxx+dMuau4GmQqlWrQqPRQJIkaDQaVK1aVbFTIfYz2W1/J2d+btQ4VtPGljzYT9ixb3cm+++NrSZhwXZnsJV5sk2QEQXG+Hbv3t3pM6RtP2Lsf2xaLBbEx8c7NQ5yZKvz6WM0wujz78XPrwpCwurBz6+KQ7uP0ei0Op/lBXsAFVZw7Mn48eMVOUDYZiS/+eab8ozkWbNmKfYL+NSpUwBQqOr7qVOnnHqASEpKQq9evQDcmoFssVjkmnu9evUq9d6K2y1LJ0kSrFarXG/OnrOWplPb50ZNzpw5A6BwL/aZM2dQv359p8WRmZmJ48ePAyhck/D48ePIzMx02qxkW5kn+9hsJafs7+NMairHRf9Sc53P8oIJoMLsB9AnJyfDZDI5raBwQbGxsTCZTIrPSLYnSRKSk5Md1gN2JvtkMzs72+FUXsHbS8O9LksHOH9putjYWMyaNQunT5+Gp6enKj43ahAdHQ0PDw+HxMLDw8PpiYX96d+CyajtdmcXpX7kkUewZcsWaLVaZGdnQ6vVIj8/H4888ohT4wDU+SPGvjyOqxYMV3Odz/KCP9MVVHDsidFohMlkUmwGmlpmJAP/lqURQkCj0UAIoUhZGvveiIKngAveXhrudVk6JZamkyQJWVlZAICsrCzFZo6rjSRJqFKlikMvdpUqVZy+fSIiIuQ6ewWHVKxYsUKRotRXrlwBULhEjq3d2dRSjgu4dVxYvHgxAGDx4sUuOyPZVuczw2yGOePfy9Wrl3A2+W9cvXrJoT3DbHZanc/ygj2AClJyAL3a2crSHD9+XN4BKlWWplKlSrhy5Yo8XsmW9FWqVKnUXzsiIgL79++XE6y75enpiQULFpRSVI6+++67Qtf79+/vlNdWs+PHj+PcuXPQarVITk6GVqvFuXPncPz4caf+kNHr9RgyZAhiYmIKDakYMmSI0+KwN2DAAEyfPr3QKekBAwYoEo/tx+/UqVMV//E7c+ZMCCHksx4zZ87E1KlTFYtHKZUrV4aXlxf2/rDsrh/j5eWFypUrl2JU5YsklDivVk5kZGTAaDTCbDbfWpT+HlmtVnnVjQ4dOmD37t3Iy8tDRkaGIjsgWzwWiwUGg0GxOGyxeHt7IysrS94Zenp64vr1606Paf78+Xj11VcBOC5LN2/ePIwbN67UXz8lJaVQb56tJqEQosglkZw129XWQ1uQ1WpVrCfw4MGD8lJRSp4+E0KgdevWOHLkCHJycuDh4YGGDRti3759imybI0eOoFGjRvL1w4cPo2HDhk6PA7g1gapXr16F1kHftGmTy/74zczMxNGjR9GyZUsAcBj2cuDAAWg0GkRERCiyioxSitr3ldQs/wc9fpcLzq06U76URB0hNdWfUlMsmzZtkmPx8fGRY9q0aZPTY1m2bFmRNQmXLVvm9FiEECIpKcmh9lVSUpIicQghxKFDh4qs53bo0CHFYlJTDbXNmzc7bJvNmzcrGg/s6gAqKS8vT0iS5PCdkiRJ5OXlKRqXkmyf29td1PCZVlpJfb9ZB1AIJoAPoCQ+QLZCugCcVkD3dnEoUdBX7fEcPnxYABCNGjUSjzzyiGjUqJEAIA4fPuz0WIQQ8sFAo9HI/1eCxWIRtWvXLjI5rl27tiIFfYUQon///kKSJNG/f39FXt+e1WoVLVu2FABEy5YthdVqddprnzlzRiQkJDhcVq5cKQCIlStXFrrNWQWyhXD8EWP/w0HJHzNbt24VDRo0EFu3blXk9S0Wi+jSpUuR26VLly6KFHpXIyaAJYeTQBSm0WjQsWNHh3+VoLZaWLaZefZjlpQqzGobMF9wAL2zlx3KzMzEF198IV8XdqM3vvjiC6evBZyUlIQTJ04AcJxdCgAnTpxQZFm6/Px8rF+/HgCwfv16eXKBUiRJwltvvYUGDRrgrbfectqpX1v5oMjISIfL4MGDAQCDBw8udFtERITTPtN16tRBixYtHMZHtmjRAnXq1HHK6xckhMDQoUNx9OhRDB06VJGKA3q9HtnZ2QAAX19f1K9fH76+vgBuVSBo3ry5Yqd/1VCrlkoeE0CFWa1W7Nq1y+FfJShd0LcosbGxcHd3x+nTp+Hu7q7YzLwePXpAq9U6JKNarRY9evRwahxJSUl4+umn5ev2B6mnn37aaWsB2wpT37x5Ex988IHcZp8cf/DBB7h586bT1+d89tlnAfy7bWzXlXTw4EGcOnUKBw8edNpr2soHdeg9HNFPT5Iv3Z54FR16D0e3J151aO/Qezjc3d2Rmuqc9ZIlScKsWbOQn58PnU6H/Px8zJo1S7Fxo5s3b8a5c+cAAOfOncPmzZsVicM2JjMkJASSJCEkJMShXQlqWyfZvkQOPRhOAnkAJTGIdPbs2XjzzTflyQWzZs1SrI6RmmIBbu14vLy85AH0N2/eVGxyjE6nQ15entzm5uaG7Oxsp8aTmZnpUIKmYE3ChISEUh8kfvLkSbRv377IWclVq1aVD6L2PD098euvv6JWrVqlFldmZib++usvtGrVCoDjttm/fz8aNGigSO+JUhOrNm7ciPfff/+eH/fSSy85rRafEALVq1fH2bNnERISgjNnziiSAAoVTWTasGED+vXrB6PRKE8MNJvN+O6779C3b1+nxmKjpuOC1WqFVquVJ8jk5+ff9/eJk0DYA6gotdUBnDhxokPh5YkTJyoSh43JZEJOTg7CwsKQk5MDk8mkSBzx8fHIy8tzWH4tLy/P6afH9Xo9wsPDARQ+RRQeHu6UU0RJSUlo1aoVOnbsWOhSs2bNIttbtWpV6j2TtriAwvUanfH6xbEv9G6xWJz2GbYV0U0XAcj1aShfsg11kS4CkG2o69CeLgKwa9cup5bQEELg0qVLkCQJly5dUuS0K+BYKNt+mTwlPjO1a9cGUHgFJFu7s6ntGDVlyhQA//bw267TfXL+sMPy40EHkdpmuhacXKDETFch/p0FbJtcoOQsYDVNArHFotVqhUajEVqtVrFYYmNji/zMxMbGOuX1T5w4Ifz9/YWPj0+hi9FoLLLd399fnDhxolTjslgsom7dugKA0Ov1Dv/WrVtXkcHzSn6Gz5w5I7y8vO44q9T+4uXl5dSJIGqpOvDOO+8UOZHpnXfecXosVqtVBAYGOvxdAgMDnTp5yJ7tGBUYGCi0Wq0cm7OPURaLRRw4cKDICTIHDhy4r+83J4FwFvADedAPkO0A4enpKbRarfD09FQ8yVFDwiWE+pLjGTNmOOyUZ8yYoUgc33//fZEHq++//95pMRScXVpUMqHE7FJbclzwAOGs5LggpT/Dap4FrJb9jcVikT8nBf9OABT54WD73NjK9Si1zxPi1t/J9kPCFo+Xl5fT/072+5mC+z7b/uZeMQFkAvhASuIDpJbEQi2/9GzUcoCwmTlzpkNiMXPmTEXiyM/PLzLJUWK7WCwW8f777xcZz/vvv+/0g+d3331X5AHiu+++c2ocNmr6gWcTGhoqJEkSoaGhisUghHr2N6WRWDwoW41E20Xp2ohF/cBzNovFIsLDw4tM1MPDw9kDeJ9cfgzg0qVLUaNGDXh6eqJ169bYv3+/U1/fNsjYNvZEqVlw0dHR8PLyQlpaGvLz85GWlgYvLy/FZgFrNBq0bdvWYSxM27ZtFZsEMmfOHIdxMHPmzFF8Npz9BBAlJCUl4aWXXgIAh20D3JpM4OwxVG5ut1a2LFiSxtbubBqNBhMnTkRWVhby8/ORlZWFiRMnKlbqKScnx2G2dk5OjiJxAMrvb+xnsttes+C4u+joaEVmss+ZM8dhKbg5c+Y47bULst/H2Y+PdPa+T6/Xo2vXrgAKVxzo2rWrS62OUqKUzT+VtWbNGuHh4SE++eQT8ddff4kXXnhB+Pr6irS0tLt6fEmdAlZLL1fXrl0denK6du2qSBxC3No2Op1OPu0gSZLQ6XSKbBulT+UVFQvgWAhaiVjUdvosNze3yJ6c3Nxcp8Zhb9q0aQ7fqWnTpjk9BovFIhISEkRQUJBDLEFBQYoWF+7cubNDPJ07d3bK695uHGtxF2eMYxXi1n5Pq9U67Pe0Wq1ix4SRI0cW+Z0aOXKk02PJyckp8mxDTk7OfT0fewCFcOkyMK1bt0bLli2xZMkSALd+1YSEhGDUqFGYNGnSHR//oNPI1bQepq3kipeXl1x+4ObNm4qVXrFtG+BWT4rtF6cS2yYvLw8eHh7w8fGRt01GRgZycnKc3ruUl5cHd3f3QmUicnNzFenpWrNmDZ566qlC8XzxxRd48sknnRqL/WfGvgyMUuvLWq1WuLu7w9vbW942169fR25urlO/U7a1kQEU+jsBUGTNZCW3ze7duzF37tx7ftzEiRPRoUOHUojoX2r4DNvW371586b8fgseo4Bb29HLy8tp647bSsAUdL+lYFgGxoXLwOTk5CAhIQFRUVFym0ajQVRUFPbu3VvkY7Kzs5GRkeFweRDdunWDJEkOXdqSJKFbt24P9Lz3Y/PmzcjJyXE4fZaTk6NYQdSuXbtCkiQYjUb07NkTRqMRkiTJpwGcafPmzRBCOJwiEkIosm02bdoEoPBpTlu7s7m7uwMofPrM1u5MnTp1AgCH1SXs251t48aNsFqtDn8rq9WKjRs3OjWOiIgIeZ9S8HPTrVs3REREODUeQNlt06JFC0ycOBEvvfQShg4diu7du6N79+7YtWsXfvnlF+zatUtuGzp0KF566SVMnDgRLVq0KPXYOnXqJO/3bEMqJEly2mf45MmTaNmyJR5++GH06tULPj4+8PHxwdWrVyGEwNWrV+W2Xr164eGHH0bLli1x8uTJUo/tu+++k/9vP1TKvp3ujcsmgJcvX0Z+fj4CAgIc2gMCAnDhwoUiH2Orh2S72Kq036+tW7cWmVhs3br1gZ73ftg6gguOr1Cqg3ju3LkQQjgcIIQQ9/XL/UElJCQAKJxY2Nqd6auvvgJQ+O9ka3e2pUuXyv+3H5No3+4sffr0AXAryfHx8ZGTHFu7s6nlb6XX6+UC3QVjOXfunCLjp5TcNp6enujQoQMeeeQRhIWFYfTo0Rg9ejQyMjJgNpuRkZEht4WFheGRRx5Bhw4d4OnpWeqx9enTp8j9nrM+wxcuXCiyzmezZs0gSRKaNWtWZJ3P4o6ZJWnx4sUAbvWMent7y2MSbe1071z2FHBqaiqqVq2KPXv2oG3btnL7hAkTsHPnTuzbt6/QY7Kzs+W1GoFbXcghISH33YVstVpRoUIFZGVlyYN+PT09cePGDaefdrVarfD09ERubq586sHd3R1ZWVmKnAJW22lXDw8P6HQ65Obmwt3dHdnZ2YrEkpOTA51OB8DxFFF2djY8PDycGgsAZGVlwcvLCwDkQesAcPPmTaccMAvGotfrC31mMjMznR4LoK6/lf0qMvaxWCwWRRJAtWybzMxMebLSzZs3cfr0adSoUUP+TJf2yjoFKf0ZzsrKwu+//4709HRkZ2cjNTUVb775ZqH7zZo1C8HBwdDpdPD19UWLFi1KPb6S3jY8BQzXnQSSnZ0ttFqtWLdunUP7kCFDRN++fe/qOUpiEKmaii+rpSSNTVRUlMOA36ioKMViUdMEGfsB0LaYlFSxYkUBQOh0OgFAVKxYUbFY/Pz8HP5Ofn5+isUihLr+Vu7u7g6xuLu7KxaLEOraNmqits+wrVC2bWKKEgWybWz7Gtu2eZB9DSeBcBIIWrVqJXch28akjBw50imTQGyvqcRaocXF4unpiby8PLi5uSnW+2dj63kT/793VIkeNzXGYus9sfW4KdX7Z2P7ZW7bNkr1uKktFkBdfytbL6AtFqV6/2zUtG3URG2fYQDyEphWq1WxYUFAyW4b9gC68BhAABg3bhw+/PBDrFixAn///TdefvllWCwWPPfcc06LQaPRYMqUKfD09MSUKVMUTbg0Gg1mzZoFnU6HWbNmKRoLcKt+W48ePaDRaNCjRw/FEi61xeLh4YE6depAkiTUqVNH8YOmp6cn/Pz8oNFo4Ofnp+jBSk2xAOr6W+n1enh5eUGSJHh5eSleO01N20ZN1PYZBm6NBc/Pz1c0+QPUuW3KMpfuAQSAJUuW4O2338aFCxfQtGlTLFq0CK1bt76rx/IXBBERUdnD4zcTwAfCDxAREVHZw+O3i58CJiIiInJFTACJiIiIXAwTQCIiIiIXwwSQiIiIyMUwASQiIiJyMUwAiYiIiFwME0AiIiIiF8MEkIiIiMjFMAEkIiIicjHKLWhaDtgWUcnIyFA4EiIiIrpbtuO2Ky+GxgTwAVy/fh0AEBISonAkREREdK+uX78Oo9GodBiK4FrAD8BqtSI1NRXe3t6QJOm+nycjIwMhISE4e/as4msSqikWtcXDWMpGPGqKRW3xqCkWtcXDWMpGPCUVixAC169fR3BwMDQa1xwNxx7AB6DRaFCtWrUSez4fHx/Fv1w2aooFUFc8jKV4aopHTbEA6opHTbEA6oqHsRRPTfGURCyu2vNn45ppLxEREZELYwJIRERE5GKYAKqATqfD1KlTodPplA5FVbEA6oqHsRRPTfGoKRZAXfGoKRZAXfEwluKpKR41xVLWcRIIERERkYthDyARERGRi2ECSERERORimAASERERuRgmgEREREQuhgmgwpYuXYoaNWrA09MTrVu3xv79+xWJY9euXejTpw+Cg4MhSRLWr1+vSBwAYDKZ0LJlS3h7e8Pf3x/9+/fHsWPHFItn2bJlaNy4sVx4tG3btvjxxx8Vi8fenDlzIEkSxo4dq8jrT5s2DZIkOVwiIiIUiQUAzp07h8GDB6NSpUrw8vJCo0aN8Pvvvzs9jho1ahTaLpIkYcSIEU6PBQDy8/MxefJkhIWFwcvLCzVr1sTMmTMVWwf1+vXrGDt2LKpXrw4vLy+0a9cOBw4ccMpr32lfJ4TAlClTEBQUBC8vL0RFReHEiROKxLJ27Vp0794dlSpVgiRJSExMLJU47iae3NxcTJw4EY0aNYLBYEBwcDCGDBmC1NRUp8cC3Nr3REREwGAwoGLFioiKisK+fftKJZbyigmggr788kuMGzcOU6dOxcGDB9GkSRNER0fj4sWLTo/FYrGgSZMmWLp0qdNfu6CdO3dixIgR+O2337B161bk5uaie/fusFgsisRTrVo1zJkzBwkJCfj999/RpUsX9OvXD3/99Zci8dgcOHAA77//Pho3bqxoHA0aNMD58+fly+7duxWJ49q1a2jfvj3c3d3x448/4ujRo5g3bx4qVqzo9FgOHDjgsE22bt0KAHj88cedHgsAzJ07F8uWLcOSJUvw999/Y+7cuYiLi8PixYsVief555/H1q1b8fnnn+Pw4cPo3r07oqKicO7cuVJ/7Tvt6+Li4rBo0SK899572LdvHwwGA6Kjo5GVleX0WCwWCzp06IC5c+eW+GvfazyZmZk4ePAgJk+ejIMHD2Lt2rU4duwY+vbt6/RYAKBOnTpYsmQJDh8+jN27d6NGjRro3r07Ll26VCrxlEuCFNOqVSsxYsQI+Xp+fr4IDg4WJpNJwaiEACDWrVunaAz2Ll68KACInTt3Kh2KrGLFiuKjjz5S7PWvX78uateuLbZu3So6deokxowZo0gcU6dOFU2aNFHktQuaOHGi6NChg9JhFGnMmDGiZs2awmq1KvL6vXv3FsOGDXNoe+yxx8Qzzzzj9FgyMzOFVqsVGzdudGhv3ry5eOONN5waS8F9ndVqFYGBgeLtt9+W29LT04VOpxNffPGFU2Oxl5ycLACIQ4cOlWoMdxuPzf79+wUAcebMGcVjMZvNAoDYtm1bqcZSnrAHUCE5OTlISEhAVFSU3KbRaBAVFYW9e/cqGJn6mM1mAICfn5/Ckdw6lbZmzRpYLBa0bdtWsThGjBiB3r17O3x+lHLixAkEBwcjPDwczzzzDFJSUhSJY8OGDWjRogUef/xx+Pv7o1mzZvjwww8VicVeTk4OVq5ciWHDhkGSJEViaNeuHbZv347jx48DAP744w/s3r0bPXv2dHoseXl5yM/Ph6enp0O7l5eXYr3HNsnJybhw4YLD98poNKJ169bcLxfBbDZDkiT4+voqGkdOTg4++OADGI1GNGnSRNFYyhI3pQNwVZcvX0Z+fj4CAgIc2gMCApCUlKRQVOpjtVoxduxYtG/fHg0bNlQsjsOHD6Nt27bIyspChQoVsG7dOtSvX1+RWNasWYODBw86bczU7bRu3Rqffvop6tati/Pnz2P69Ol46KGHcOTIEXh7ezs1ln/++QfLli3DuHHj8Prrr+PAgQMYPXo0PDw8EBMT49RY7K1fvx7p6ekYOnSoYjFMmjQJGRkZiIiIgFarRX5+PmbPno1nnnnG6bF4e3ujbdu2mDlzJurVq4eAgAB88cUX2Lt3L2rVquX0eOxduHABAIrcL9tuo1uysrIwceJEPPXUU/Dx8VEkho0bN+LJJ59EZmYmgoKCsHXrVlSuXFmRWMoiJoCkaiNGjMCRI0cU7xmoW7cuEhMTYTab8c033yAmJgY7d+50ehJ49uxZjBkzBlu3bi3Ug6IE+x6kxo0bo3Xr1qhevTq++uorDB8+3KmxWK1WtGjRAm+99RYAoFmzZjhy5Ajee+89RRPAjz/+GD179kRwcLBiMXz11VdYtWoVVq9ejQYNGiAxMRFjx45FcHCwItvm888/x7Bhw1C1alVotVo0b94cTz31FBISEpweC9273NxcDBo0CEIILFu2TLE4Hn74YSQmJuLy5cv48MMPMWjQIOzbtw/+/v6KxVSW8BSwQipXrgytVou0tDSH9rS0NAQGBioUlbqMHDkSGzduxI4dO1CtWjVFY/Hw8ECtWrUQGRkJk8mEJk2a4J133nF6HAkJCbh48SKaN28ONzc3uLm5YefOnVi0aBHc3NyQn5/v9Jjs+fr6ok6dOjh58qTTXzsoKKhQQl6vXj3FTkkDwJkzZ7Bt2zY8//zzisUAAK+99homTZqEJ598Eo0aNcKzzz6LV155BSaTSZF4atasiZ07d+LGjRs4e/Ys9u/fj9zcXISHhysSj41t38v9cvFsyd+ZM2ewdetWxXr/AMBgMKBWrVpo06YNPv74Y7i5ueHjjz9WLJ6yhgmgQjw8PBAZGYnt27fLbVarFdu3b1d0bJkaCCEwcuRIrFu3Dj/99BPCwsKUDqkQq9WK7Oxsp79u165dcfjwYSQmJsqXFi1a4JlnnkFiYiK0Wq3TY7J348YNnDp1CkFBQU5/7fbt2xcqF3T8+HFUr17d6bHYLF++HP7+/ujdu7diMQC3ZnBqNI67e61WC6vVqlBEtxgMBgQFBeHatWuIj49Hv379FI0nLCwMgYGBDvvljIwM7Nu3z+X3y8C/yd+JEyewbds2VKpUSemQHCi1Xy6reApYQePGjUNMTAxatGiBVq1aYeHChbBYLHjuueecHsuNGzccem2Sk5ORmJgIPz8/hIaGOjWWESNGYPXq1fjuu+/g7e0tj70xGo3w8vJyaiwAEBsbi549eyI0NBTXr1/H6tWr8fPPPyM+Pt7psXh7excaC2kwGFCpUiVFxkiOHz8effr0QfXq1ZGamoqpU6dCq9Xiqaeecnosr7zyCtq1a4e33noLgwYNwv79+/HBBx/ggw8+cHoswK2D0fLlyxETEwM3N2V3tX369MHs2bMRGhqKBg0a4NChQ5g/fz6GDRumSDzx8fEQQqBu3bo4efIkXnvtNURERDhl33enfd3YsWMxa9Ys1K5dG2FhYZg8eTKCg4PRv39/p8dy9epVpKSkyLX2bD9wAgMDS6VH8nbxBAUFYeDAgTh48CA2btyI/Px8ed/s5+cHDw8Pp8VSqVIlzJ49G3379kVQUBAuX76MpUuX4ty5c4qVWiqTFJ6F7PIWL14sQkNDhYeHh2jVqpX47bffFIljx44dAkChS0xMjNNjKSoOAGL58uVOj0UIIYYNGyaqV68uPDw8RJUqVUTXrl3Fli1bFImlKEqWgXniiSdEUFCQ8PDwEFWrVhVPPPGEOHnypCKxCCHE999/Lxo2bCh0Op2IiIgQH3zwgWKxxMfHCwDi2LFjisVgk5GRIcaMGSNCQ0OFp6enCA8PF2+88YbIzs5WJJ4vv/xShIeHCw8PDxEYGChGjBgh0tPTnfLad9rXWa1WMXnyZBEQECB0Op3o2rVrqf0N7xTL8uXLi7x96tSpTo/HVoqmqMuOHTucGsvNmzfFo48+KoKDg4WHh4cICgoSffv2Ffv37y/xOMozSQiFSsETERERkSI4BpCIiIjIxTABJCIiInIxTACJiIiIXAwTQCIiIiIXwwSQiIiIyMUwASQiIiJyMUwAiYiIiFwME0AiojJm2rRpaNq0qdJhEFEZxgSQyIVcunQJL7/8MkJDQ6HT6RAYGIjo6Gj8+uuvSod2X37++WdIkoT09PRSff6ClzfffLNUXq8okiRh/fr1Dm3jx493WK+2tNSoUQMLFy50uG7bBl5eXqhRowYGDRqEn376qdRjIaKSxbWAiVzIgAEDkJOTgxUrViA8PBxpaWnYvn07rly5onRopSonJ+eB1io9duwYfHx85OsVKlQoibDuW4UKFRSLYcaMGXjhhReQk5OD06dPY+XKlYiKisLMmTPxxhtvKBITEd079gASuYj09HT88ssvmDt3Lh5++GFUr14drVq1QmxsLPr27QsAGDZsGB555BGHx+Xm5sLf3x8ff/wxAKBz584YNWoUxo4di4oVKyIgIAAffvghLBYLnnvuOXh7e6NWrVr48ccf5eew9aTFx8ejWbNm8PLyQpcuXXDx4kX8+OOPqFevHnx8fPD0008jMzNTfpzVaoXJZEJYWBi8vLzQpEkTfPPNNwCA06dP4+GHHwYAVKxYEZIkYejQoXKMI0eOxNixY1G5cmVER0ff1Xsrjr+/PwIDA+VLhQoViux9TExMhCRJOH36NADg008/ha+vL+Lj41GvXj1UqFABPXr0wPnz5x2e/5NPPkGDBg2g0+kQFBSEkSNHArjV4wYAjz76KCRJkq8XPAVstVoxY8YMVKtWDTqdDk2bNsXmzZvl20+fPg1JkrB27Vo8/PDD0Ov1aNKkCfbu3Xvb910Ub29vBAYGIjQ0FB07dsQHH3yAyZMnY8qUKTh27Ng9Px8RKYMJIJGLsPUarV+/HtnZ2UXe5/nnn8fmzZsdEpSNGzciMzMTTzzxhNy2YsUKVK5cGfv378eoUaPw8ssv4/HHH0e7du1w8OBBdO/eHc8++6xDMgfcSlyWLFmCPXv24OzZsxg0aBAWLlyI1atX44cffsCWLVuwePFi+f4mkwmfffYZ3nvvPfz111945ZVXMHjwYOzcuRMhISH49ttvAdzqoTt//jzeeecdhxg9PDzw66+/4r333rvr91bSMjMz8d///heff/45du3ahZSUFIwfP16+fdmyZRgxYgRefPFFHD58GBs2bECtWrUAAAcOHAAALF++HOfPn5evF/TOO+9g3rx5+O9//4s///wT0dHR6Nu3L06cOOFwvzfeeAPjx49HYmIi6tSpg6eeegp5eXkP/B7HjBkDIQS+++67B34uInISQUQu45tvvhEVK1YUnp6eol27diI2Nlb88ccfDvepX7++mDt3rny9T58+YujQofL1Tp06iQ4dOsjX8/LyhMFgEM8++6zcdv78eQFA7N27VwghxI4dOwQAsW3bNvk+JpNJABCnTp2S21566SURHR0thBAiKytL6PV6sWfPHof4hg8fLp566imH57127ZrDfTp16iSaNWtW6P3f6b0VZHt+g8HgcLl8+XKRr33o0CEBQCQnJwshhFi+fLkAIE6ePCnfZ+nSpSIgIEC+HhwcLN54441iYwAg1q1b59A2depU0aRJE4fnmD17tsN9WrZsKf7zn/8IIYRITk4WAMRHH30k3/7XX38JAOLvv/8u9rWrV68uFixYUOx1ewEBAeLll18u9rmISF3YA0jkQgYMGIDU1FRs2LABPXr0wM8//4zmzZvj008/le/z/PPPY/ny5QCAtLQ0/Pjjjxg2bJjD8zRu3Fj+v1arRaVKldCoUSO5LSAgAABw8eLFYh8XEBAAvV6P8PBwhzbbY06ePInMzEx069ZN7r2sUKECPvvsM5w6deqO7zUyMrJQ2928t6L88ssvSExMlC8VK1a842Ns9Ho9atasKV8PCgqS3+PFixeRmpqKrl273vXzFZSRkYHU1FS0b9/eob19+/b4+++/Hdrst39QUJAcQ0kQQkCSpBJ5LiIqfZwEQuRiPD090a1bN3Tr1g2TJ0/G888/j6lTp8rj54YMGYJJkyZh79692LNnD8LCwvDQQw85PIe7u7vDdUmSHNpsiYDVai32cQUfY2uzPebGjRsAgB9++AFVq1Z1uJ9Op7vj+zQYDIXa7ua9FSUsLAy+vr4ObRrNrd/PQgi5LTc3t9Bji3qPtsd4eXnd8bVL0t38je7HlStXcOnSJYSFhT3wcxGRc7AHkMjF1a9fHxaLRb5eqVIl9O/fH8uXL8enn36K5557TrG4dDodUlJSUKtWLYdLSEgIAMgze/Pz8+/qOUvyvVWpUgUAHMYUJiYm3tNzeHt7o0aNGrct6eLu7n7b9+fj44Pg4OBCpXx+/fVX1K9f/57iuV/vvPMONBoN+vfv75TXI6IHxx5AIhdx5coVPP744xg2bBgaN24Mb29v/P7774iLi0O/fv0c7vv888/jkUceQX5+PmJiYhSJ19vbG+PHj8crr7wCq9WKDh06wGw249dff4WPjw9iYmJQvXp1SJKEjRs3olevXvDy8rpjeZSSem+2RHTatGmYPXs2jh8/jnnz5t3z80ybNg3/93//B39/f/Ts2RPXr1/Hr7/+ilGjRgGAnCC2b98eOp2uyNPPr732GqZOnYqaNWuiadOmWL58ORITE7Fq1ar7fn/FuX79Oi5cuIDc3FwkJydj5cqV+Oijj2AymeTJK0SkfkwAiVxEhQoV0Lp1ayxYsACnTp1Cbm4uQkJC8MILL+D11193uG9UVBSCgoLQoEEDBAcHKxQxMHPmTFSpUgUmkwn//PMPfH190bx5czneqlWrYvr06Zg0aRKee+45DBkyxGE8Y1FK6r25u7vjiy++wMsvv4zGjRujZcuWmDVrFh5//PF7ep6YmBhkZWVhwYIFGD9+PCpXroyBAwfKt8+bNw/jxo3Dhx9+iKpVq8olZuyNHj0aZrMZr776Ki5evIj69etjw4YNqF279n2/v+JMmTIFU6ZMgYeHBwIDA9GmTRts375dLslDRGWDJOwHsBAR4db4u6pVq2L58uV47LHHlA6nRJXn90ZEdLfYA0hEMqvVisuXL2PevHnw9fWVC0SXB+X5vRER3SsmgEQkS0lJQVhYGKpVq4ZPP/0Ubm7lZxdRnt8bEdG94ilgIiIiIhfDMjBERERELoYJIBEREZGLYQJIRERE5GKYABIRERG5GCaARERERC6GCSARERGRi2ECSERERORimAASERERuRgmgEREREQu5v8BQZt7KDEpYEkAAAAASUVORK5CYII=",
+      "text/html": [
+       "\n",
+       "            <div style=\"display: inline-block;\">\n",
+       "                <div class=\"jupyter-widgets widget-label\" style=\"text-align: center;\">\n",
+       "                    Figure\n",
+       "                </div>\n",
+       "                <img 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' width=640.0/>\n",
+       "            </div>\n",
+       "        "
+      ],
+      "text/plain": [
+       "Canvas(toolbar=Toolbar(toolitems=[('Home', 'Reset original view', 'home', 'home'), ('Back', 'Back to previous …"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "fig, ax = plt.subplots(1, 1)\n",
+    "sfvalues.plot.boxplot()\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Potential Training - RuNNer Mode 2\n",
+    "\n",
+    "In ``mode 2``, the magic happens and your data will be fitted. The part below defines how the fitting in ``mode 2`` has to take place. ``epochs`` define how often **RuNNer** will loop over the training data to optimize the weights and biases of the NN, ``fitting_unit`` defines in which unit the output will be presented in ``mode 2``, all other files and units will stay in ``bohr`` and ``Hartree``. ``precondition_weights`` effects the initial weights and biases of the NN. In the second part, there are some parameters for the Kalman-Filter, ``repeated_energy_update`` repeats the energy update after a force component update, to increase the impact of the energies. This is slower in general, but might be necessary, since there a many more force components than energies. ``mix_all_points`` mixes the order of the training points for each epoch to improve the training. Often, the ranges of the symmetry functions are rather different in their order of magnitude and thus a rescaling of SFs can be advantageous numerically stated by ``scale_symmetry_functions`` keyword. Together with that, a centering of the SF average value to zero is performed for numerical reasons, since zero is the non-linear center of most activations  functions. ``short_force_fraction`` defines how much of the force components is randomly used for training the NN. The last part, defines to write certain files for each epoch, to analyze it in a later stage. There are many other keywords and options to present. However, you got an idea how **RuNNer** works and what to do to fit your first NNP. In the next part, first steps for analyzing the fit are presented."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "| Keyword | Default | Description |\n",
+    "|---------|---------|:-------------|\n",
+    "|runner_mode | 1| Must be set to 2.\n",
+    "|nn_type_short | 1| Specify the NN type of the short-range part.\n",
+    "|use_short_nn | True| Use the a short range NN. Whether an atomic or pair-based energy expression is used is determined via the keyword nn_type_short.\n",
+    "|optmode_short_energy | 1| Specify the optimization algorithm for the short-range energy contributions.\n",
+    "|optmode_short_force | 1| Specify the optimization algorithm for the short-range forces.\n",
+    "|points_in_memory | 1000| This keyword controls memory consumption and IO and is therefore important to achieve an optimum performance of RuNNer. Has a different meaning depending on the current runner_mode.\n",
+    "|scale_symmetry_functions | True| Rescale symmetry functions to a certain interval (the default interval is 0 to 1). This has numerical advantages if the orders of magnitudes of different symmetry functions are very different. If the minimum and maximum value for a symmetry function is the same for all structures, rescaling is not possible and RuNNer will terminate with an error. The interval can be specified by the keywords \n",
+    "|use_short_forces | True| Use forces for fitting the short range NN weights. In runner_mode 1, the files trainforces.data, testforces.data, trainforcese.data and testforcese.data are written. In runner_mode 2, these files are needed to use the short range forces for optimizing the short range weights. However, if the training data is different, the file scaling.data changes and either one of the keywords scale_symmetry_functions or center_symmetry_functions is used, the RMSE will be different.\n",
+    "|epochs | 30| The number of epochs for fitting. If 0 is specified, RuNNer will calculate the error and terminate without adjusting weights.\n",
+    "|kalman_lambda_short | 0.98| Kalman filter parameter $\\lambda$ for the short range NN weight updates.\n",
+    "|kalman_nue_short | 0.9987| Kalman filter parameter $\\lambda_0$ for the short range weight updates.\n",
+    "|mix_all_points | True| Randomly reorder the data points in the data set at the beginning of each new epoch.\n",
+    "|nguyen_widrow_weights_short | True| Initialize the short-range NN weights according to the scheme proposed by Nguyen and Widrow. The initial weights and bias values in the hidden layer are chosen such that the input space is evenly distributed over the nodes. This may speed up the training process.\n",
+    "|repeated_energy_update | True| If this keyword is set, the weights of the short-range NN are updated a second time after the force update with respect to the total energies in the data set. This usually results in a more accurate potential energy fitting at the cost of slightly detiorated forces.\n",
+    "|center_symmetry_functions | True| Shift the symmetry function values individually for each symmetry function such that the average is moved to zero. This may have numerical advantages, because zero is the center of the non-linear regions of most activation functions.\n",
+    "|precondition_weights | True| Shift the weights of the atomic NNs right after the initialization so that the standard deviation of the NN energies is the same as the standard deviation of the reference energies.\n",
+    "|global_activation_short | [['t' 't' 'l']]| Set the activation function for each hidden layer and the output layer in the short range NNs of all elements. \n",
+    "|global_hidden_layers_short | 2| Set the default number of hidden layers in the short-range NNs of all elements. Internally 1 is added to maxnum_layers_short, which also includes the output layer.\n",
+    "|global_nodes_short | [[15 15]]| Set the default number of nodes in the hidden layers of the short-range NNs in case of nn_type_short 1. In the array, the entries 1 - maxnum_layersshort - 1 refer to the hidden layers. The first entry (0) refers to the nodes in the input layer and is determined automatically from the symmetry functions."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "During the fitting process of the NN, the error function $\\Gamma$ is minimized, which is defined as \n",
+    "\\begin{equation}\n",
+    "    \\Gamma = \\frac{1}{N_\\mathrm{struct}} \\sum_{i}^{N_\\mathrm{struct}} (E_{NN}^{i} - E_{Ref}^{i})^2 = RMSE(E),\n",
+    "\\end{equation}\n",
+    "if only energy fitting is used, which defines simultaneously the root-mean squared error of the energies $RMSE(E)$. This defines the differences of the reference data and the NNP predictions. During the epochs, the error decreases as you can see in the part of ``mode2`` output."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "FIXME: add some comments which parameters to change and what the effects are."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 40,
+   "metadata": {
+    "scrolled": true
+   },
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "2022-05-25 15:33:21,679 - pyiron_log - WARNING - The job fit_data_lithium_mode2 is being loaded instead of running. To re-run use the argument 'delete_existing_job=True in create_job'\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Run Mode 2.\n",
+    "# mode2 = mode1.restart('fit_data_lithium_mode2')\n",
+    "mode2 = pr.load('fit_data_lithium_mode2')\n",
+    "mode2.parameters.runner_mode = 2\n",
+    "mode2.parameters.epochs = 15\n",
+    "mode2.parameters.use_short_forces = True\n",
+    "mode2.run()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "FIXME: add description of pyiron output"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 145,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Epoch | RMSE(E) / eV/atom  | RMSE(F) / eV/Bohr  |\n",
+      "=================================================\n",
+      "      |  Train   |  Test   |  Train   |  Test   |\n",
+      "-------------------------------------------------\n",
+      "    0 |  0.3346  |  0.1897 |  0.1010  |  0.0829 |\n",
+      "    1 |  0.0449  |  0.0302 |  0.0663  |  0.0488 |\n",
+      "    2 |  0.0323  |  0.0036 |  0.0521  |  0.0380 |\n",
+      "    3 |  0.0370  |  0.0077 |  0.0380  |  0.0278 |\n",
+      "    4 |  0.0208  |  0.0063 |  0.0328  |  0.0242 |\n",
+      "    5 |  0.0261  |  0.0030 |  0.0290  |  0.0216 |\n",
+      "    6 |  0.0087  |  0.0023 |  0.0271  |  0.0201 |\n",
+      "    7 |  0.0068  |  0.0022 |  0.0278  |  0.0202 |\n",
+      "    8 |  0.0056  |  0.0026 |  0.0267  |  0.0194 |\n",
+      "    9 |  0.0173  |  0.0030 |  0.0272  |  0.0196 |\n",
+      "   10 |  0.0093  |  0.0017 |  0.0257  |  0.0187 |\n",
+      "   11 |  0.0047  |  0.0019 |  0.0253  |  0.0186 | <-- Best Epoch\n",
+      "   12 |  0.0031  |  0.0021 |  0.0249  |  0.0184 |\n",
+      "   13 |  0.0029  |  0.0018 |  0.0246  |  0.0182 |\n",
+      "   14 |  0.0032  |  0.0026 |  0.0244  |  0.0181 |\n",
+      "   15 |  0.0027  |  0.0020 |  0.0243  |  0.0180 |\n"
+     ]
+    }
+   ],
+   "source": [
+    "mode2.output['fitresults'].table()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "A first and simple plot to anlyze the progress of the fitting procedure, is to show the RMSEs over the epochs. Here, you can easily identify overfitting, if the training $RMSE$ is much lower than the test $RMSE$, for example.\n",
+    "Anyhow, the $RMSE$ is a rather strong reduction of the really complex potential energy surface (PES) and can only be understood as a rule of thumb for the quality of the NNP fit."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 41,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "2692a7264e644732afec004f6860913c",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "image/png": 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",
+      "text/html": [
+       "\n",
+       "            <div style=\"display: inline-block;\">\n",
+       "                <div class=\"jupyter-widgets widget-label\" style=\"text-align: center;\">\n",
+       "                    Figure\n",
+       "                </div>\n",
+       "                <img 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' width=640.0/>\n",
+       "            </div>\n",
+       "        "
+      ],
+      "text/plain": [
+       "Canvas(toolbar=Toolbar(toolitems=[('Home', 'Reset original view', 'home', 'home'), ('Back', 'Back to previous …"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "1c61b8b52da74b1aaa17bec676b29eda",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "image/png": 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",
+      "text/html": [
+       "\n",
+       "            <div style=\"display: inline-block;\">\n",
+       "                <div class=\"jupyter-widgets widget-label\" style=\"text-align: center;\">\n",
+       "                    Figure\n",
+       "                </div>\n",
+       "                <img 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' width=640.0/>\n",
+       "            </div>\n",
+       "        "
+      ],
+      "text/plain": [
+       "Canvas(toolbar=Toolbar(toolitems=[('Home', 'Reset original view', 'home', 'home'), ('Back', 'Back to previous …"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Object `mode2.output['fitresults'].plot` not found.\n"
+     ]
+    }
+   ],
+   "source": [
+    "fig, ax = plt.subplots(1, 1)\n",
+    "mode2.output['fitresults'].plot.rmse_e()\n",
+    "plt.show()\n",
+    "\n",
+    "fig, ax = plt.subplots(1, 1)\n",
+    "mode2.output['fitresults'].plot.rmse_f()\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "The ``mode 2`` output gives further information about the parameters of the fitting procedure, about the fitting data and it gives information about the defined SFs and the SFs ranges. These ranges define the known configuration space of your NNP and are used to identify the already mentioned ``extrapolations``. If the NNP is made to predict energies, forces or stress, it first calculates the SF vectors and compares these values to the trainings range shown below. If a SF value occurs, which is not in the range, **RuNNer** will give an ``extrapolation warning`` and tell the user, but you will still get your wanted energy, force or stress. Another usage of these ranges is to increase the data set and the known configuration space."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Potential Evaluation - RuNNer Mode 3\n",
+    "\n",
+    "**RuNNer** ``mode 3`` is the prediction mode and brings the NNP to application. "
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "| Keyword | Default | Description |\n",
+    "|---------|---------|:-------------|\n",
+    "|runner_mode | 1| Must be set to 3.\n",
+    "|calculate_forces | True| Calculate the atomic forces in runner_mode 3 and write them to the files runner.out and nnforces.out."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 43,
+   "metadata": {
+    "scrolled": true
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "DataContainer({'parameters': DataContainer({'runner_mode': 3, 'elements': None, 'number_of_elements': 0, 'bond_threshold': 0.5, 'nn_type_short': 1, 'use_short_nn': 1, 'optmode_charge': 1, 'optmode_short_energy': 1, 'optmode_short_force': 1, 'points_in_memory': 1000, 'scale_symmetry_functions': 1, 'cutoff_type': 1, 'test_fraction': 0.1, 'use_short_forces': 1, 'epochs': 15, 'kalman_lambda_short': 0.98, 'kalman_nue_short': 0.9987, 'mix_all_points': 1, 'nguyen_widrow_weights_short': 1, 'repeated_energy_update': 1, 'short_energy_error_threshold': 0.1, 'short_energy_fraction': 1.0, 'short_force_error_threshold': 1.0, 'short_force_fraction': 0.1, 'use_old_weights_charge': 0, 'use_old_weights_short': 0, 'write_weights_epoch': 5, 'center_symmetry_functions': 1, 'precondition_weights': 1, 'global_activation_short': [['t', 't', 'l']], 'global_hidden_layers_short': 2, 'global_nodes_short': [[15, 15]], 'calculate_forces': True, 'symfunction_short': [('Li', 2, 'Li', 0.0, 0.0, 12.0), ('Li', 2, 'Li', 0.004675055980246072, 0.0, 12.0), ('Li', 2, 'Li', 0.010843416275634649, 0.0, 12.0), ('Li', 2, 'Li', 0.01939424193215976, 0.0, 12.0), ('Li', 2, 'Li', 0.03192971575337408, 0.0, 12.0), ('Li', 2, 'Li', 0.05159916711157465, 0.0, 12.0), ('Li', 3, 'Li', 'Li', 0.0, -1.0, 1.0, 12.0), ('Li', 3, 'Li', 'Li', 0.0, -1.0, 2.0, 12.0), ('Li', 3, 'Li', 'Li', 0.0, -1.0, 4.0, 12.0), ('Li', 3, 'Li', 'Li', 0.0, -1.0, 8.0, 12.0), ('Li', 3, 'Li', 'Li', 0.0, 1.0, 1.0, 12.0), ('Li', 3, 'Li', 'Li', 0.0, 1.0, 2.0, 12.0), ('Li', 3, 'Li', 'Li', 0.0, 1.0, 4.0, 12.0), ('Li', 3, 'Li', 'Li', 0.0, 1.0, 8.0, 12.0)]}), 'training_data': <pyiron_contrib.atomistics.atomistics.job.trainingcontainer.TrainingStorage object at 0x7f26c11f55a0>})\n",
+      "The job fit_data_lithium_mode3 was saved and received the ID: 159\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/home/kalm/dcmnts/uni/promotion/src/runnerase/runnerase/io/ase.py:313: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray.\n",
+      "  forces = np.array([i.get_forces() for i in pred_structures])\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Run Mode 3.\n",
+    "pr.remove_job('fit_data_lithium_mode3')\n",
+    "mode3 = mode2.restart('fit_data_lithium_mode3')\n",
+    "mode3.parameters.runner_mode = 3\n",
+    "mode3.parameters.calculate_forces = True\n",
+    "mode3.run()#delete_existing_job=True)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "For a more detailed analyze, you could have a look at the predicted energies and forces per structure. This is quite useful to identify inaccurately described structures. The training data set may has a specific order of different structures (bulk, slab, cluster, ...) and you can identify, if some parts of the data set are described inaccurately in general. The second plot shows the atomic energy prediction of the NNP over the reference values. For a perfect fit, all points will be on the blue line, but as we can see this is not the case. In this plot, we can identify, if some energies ranges are not well described in our data set. This is related to our first data set analysis above."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 44,
+   "metadata": {
+    "scrolled": true
+   },
+   "outputs": [
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "64e2a3cd2a49450cbcf4626ab5bb94fa",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "image/png": 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",
+      "text/html": [
+       "\n",
+       "            <div style=\"display: inline-block;\">\n",
+       "                <div class=\"jupyter-widgets widget-label\" style=\"text-align: center;\">\n",
+       "                    Figure\n",
+       "                </div>\n",
+       "                <img 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' width=640.0/>\n",
+       "            </div>\n",
+       "        "
+      ],
+      "text/plain": [
+       "Canvas(toolbar=Toolbar(toolitems=[('Home', 'Reset original view', 'home', 'home'), ('Back', 'Back to previous …"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "fig, ax = plt.subplots(1, 1)\n",
+    "mode3.plot.energy_scatter_hist()\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 45,
+   "metadata": {
+    "scrolled": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "414811b5552a4c6783bbe8ceda81ad67",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "image/png": 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",
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+       "\n",
+       "            <div style=\"display: inline-block;\">\n",
+       "                <div class=\"jupyter-widgets widget-label\" style=\"text-align: center;\">\n",
+       "                    Figure\n",
+       "                </div>\n",
+       "                <img 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' width=640.0/>\n",
+       "            </div>\n",
+       "        "
+      ],
+      "text/plain": [
+       "Canvas(toolbar=Toolbar(toolitems=[('Home', 'Reset original view', 'home', 'home'), ('Back', 'Back to previous …"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "fig, ax = plt.subplots(1, 1)\n",
+    "mode3.plot.force_scatter_hist(axis=0)\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Using the potential\n",
+    "\n",
+    "Via N2P2, NNP can also be used in LAMMPS. A first application of the NNP in the Li case is to predict the correct minimum energy."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 46,
+   "metadata": {
+    "scrolled": true
+   },
+   "outputs": [
+    {
+     "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>Name</th>\n",
+       "      <th>Filename</th>\n",
+       "      <th>Model</th>\n",
+       "      <th>Species</th>\n",
+       "      <th>Config</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>RuNNer-Li</td>\n",
+       "      <td>[/home/kalm/dcmnts/uni/promotion/work/workshop_bochum/handson_notebook/workshop-pyiron-demonstration/notebooks/AlLi-Fit/AlLi-Fit/fit_data_lithium_mode3_hdf5/fit_data_lithium_mode3/input.nn, /home/...</td>\n",
+       "      <td>RuNNer</td>\n",
+       "      <td>[Li]</td>\n",
+       "      <td>[pair_style nnp dir \"./\" showew yes showewsum 0 resetew no maxew 100 cflength 1.8897261328 cfenergy 0.0367493254 emap \"0:Li\"\\n, pair_coeff * * 12.0\\n]</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "        Name  \\\n",
+       "0  RuNNer-Li   \n",
+       "\n",
+       "                                                                                                                                                                                                  Filename  \\\n",
+       "0  [/home/kalm/dcmnts/uni/promotion/work/workshop_bochum/handson_notebook/workshop-pyiron-demonstration/notebooks/AlLi-Fit/AlLi-Fit/fit_data_lithium_mode3_hdf5/fit_data_lithium_mode3/input.nn, /home/...   \n",
+       "\n",
+       "    Model Species  \\\n",
+       "0  RuNNer    [Li]   \n",
+       "\n",
+       "                                                                                                                                                   Config  \n",
+       "0  [pair_style nnp dir \"./\" showew yes showewsum 0 resetew no maxew 100 cflength 1.8897261328 cfenergy 0.0367493254 emap \"0:Li\"\\n, pair_coeff * * 12.0\\n]  "
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "pot = mode3.get_lammps_potential(elements=['Li'])\n",
+    "display(pot)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "* Do short simulation.\n",
+    "* Visualize trajectory"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "The data set, you will fit is a strongly reduced subset of the data shown above. For comparison, the same plot is shown here.\n",
+    "\n",
+    "**Be aware of fitting a larger data set, since it will run some time, roughly six hours!**"
+   ]
+  }
+ ],
+ "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": "3.10.4"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
+}