From af91b30aef3bdbd3d2ea3ec863bb1fbf194f0495 Mon Sep 17 00:00:00 2001
From: JonathanCrabbe <jonathan.cr1302@gmail.com>
Date: Mon, 8 Jan 2024 16:13:08 +0000
Subject: [PATCH 1/6] Add US-Droughts dataset

---
 cmd/conf/datamodule/usdroughts.yaml  |    6 +
 notebooks/droughts_exploration.ipynb | 1513 ++++++++++++++++++++++++++
 src/fdiff/dataloaders/datamodules.py |   60 +-
 src/fdiff/utils/preprocessing.py     |   44 +
 4 files changed, 1622 insertions(+), 1 deletion(-)
 create mode 100644 cmd/conf/datamodule/usdroughts.yaml
 create mode 100644 notebooks/droughts_exploration.ipynb

diff --git a/cmd/conf/datamodule/usdroughts.yaml b/cmd/conf/datamodule/usdroughts.yaml
new file mode 100644
index 0000000..9ceebec
--- /dev/null
+++ b/cmd/conf/datamodule/usdroughts.yaml
@@ -0,0 +1,6 @@
+_target_: fdiff.dataloaders.datamodules.USDroughtsDatamodule
+data_dir: ${hydra:runtime.cwd}/data
+random_seed: ${random_seed}
+fourier_transform: ${fourier_transform}
+standardize: ${standardize}
+batch_size: 16
diff --git a/notebooks/droughts_exploration.ipynb b/notebooks/droughts_exploration.ipynb
new file mode 100644
index 0000000..51c696b
--- /dev/null
+++ b/notebooks/droughts_exploration.ipynb
@@ -0,0 +1,1513 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from pathlib import Path\n",
+    "from tqdm import tqdm\n",
+    "from einops import rearrange\n",
+    "from fdiff.utils.fourier import dft\n",
+    "\n",
+    "import pandas as pd\n",
+    "import torch\n",
+    "import seaborn as sns\n",
+    "import matplotlib.pyplot as plt\n",
+    "\n",
+    "DATA_FILEPATH = Path.cwd() / \"../data/droughts/train_timeseries/\""
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
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+       "        text-align: right;\n",
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+       "</style>\n",
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+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>fips</th>\n",
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+       "      <th>PS</th>\n",
+       "      <th>QV2M</th>\n",
+       "      <th>T2M</th>\n",
+       "      <th>T2MDEW</th>\n",
+       "      <th>T2MWET</th>\n",
+       "      <th>T2M_MAX</th>\n",
+       "      <th>T2M_MIN</th>\n",
+       "      <th>...</th>\n",
+       "      <th>TS</th>\n",
+       "      <th>WS10M</th>\n",
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+       "      <th>WS10M_RANGE</th>\n",
+       "      <th>WS50M</th>\n",
+       "      <th>WS50M_MAX</th>\n",
+       "      <th>WS50M_MIN</th>\n",
+       "      <th>WS50M_RANGE</th>\n",
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+       "    </tr>\n",
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+       "    <tr>\n",
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+       "      <td>1001</td>\n",
+       "      <td>2000-01-03</td>\n",
+       "      <td>3.65</td>\n",
+       "      <td>100.15</td>\n",
+       "      <td>11.76</td>\n",
+       "      <td>18.49</td>\n",
+       "      <td>16.52</td>\n",
+       "      <td>16.52</td>\n",
+       "      <td>22.73</td>\n",
+       "      <td>15.32</td>\n",
+       "      <td>...</td>\n",
+       "      <td>18.41</td>\n",
+       "      <td>4.03</td>\n",
+       "      <td>5.33</td>\n",
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+       "      <td>2.67</td>\n",
+       "      <td>7.53</td>\n",
+       "      <td>9.52</td>\n",
+       "      <td>5.87</td>\n",
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+       "    </tr>\n",
+       "    <tr>\n",
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+       "      <td>2000-01-04</td>\n",
+       "      <td>15.95</td>\n",
+       "      <td>100.29</td>\n",
+       "      <td>6.42</td>\n",
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+       "      <td>18.09</td>\n",
+       "      <td>2.16</td>\n",
+       "      <td>...</td>\n",
+       "      <td>11.31</td>\n",
+       "      <td>3.84</td>\n",
+       "      <td>5.67</td>\n",
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+       "      <td>3.59</td>\n",
+       "      <td>6.73</td>\n",
+       "      <td>9.31</td>\n",
+       "      <td>3.74</td>\n",
+       "      <td>5.58</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>1001</td>\n",
+       "      <td>2000-01-05</td>\n",
+       "      <td>0.00</td>\n",
+       "      <td>101.15</td>\n",
+       "      <td>2.95</td>\n",
+       "      <td>3.86</td>\n",
+       "      <td>-3.29</td>\n",
+       "      <td>-3.20</td>\n",
+       "      <td>10.82</td>\n",
+       "      <td>-2.66</td>\n",
+       "      <td>...</td>\n",
+       "      <td>2.65</td>\n",
+       "      <td>1.60</td>\n",
+       "      <td>2.50</td>\n",
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+       "      <td>0.65</td>\n",
+       "      <td>4.19</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>5 rows × 21 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   fips        date  PRECTOT      PS   QV2M    T2M  T2MDEW  T2MWET  T2M_MAX  \\\n",
+       "0  1001  2000-01-01     0.22  100.51   9.65  14.74   13.51   13.51    20.96   \n",
+       "1  1001  2000-01-02     0.20  100.55  10.42  16.69   14.71   14.71    22.80   \n",
+       "2  1001  2000-01-03     3.65  100.15  11.76  18.49   16.52   16.52    22.73   \n",
+       "3  1001  2000-01-04    15.95  100.29   6.42  11.40    6.09    6.10    18.09   \n",
+       "4  1001  2000-01-05     0.00  101.15   2.95   3.86   -3.29   -3.20    10.82   \n",
+       "\n",
+       "   T2M_MIN  ...     TS  WS10M  WS10M_MAX  WS10M_MIN  WS10M_RANGE  WS50M  \\\n",
+       "0    11.46  ...  14.65   2.20       2.94       1.49         1.46   4.85   \n",
+       "1    12.61  ...  16.60   2.52       3.43       1.83         1.60   5.33   \n",
+       "2    15.32  ...  18.41   4.03       5.33       2.66         2.67   7.53   \n",
+       "3     2.16  ...  11.31   3.84       5.67       2.08         3.59   6.73   \n",
+       "4    -2.66  ...   2.65   1.60       2.50       0.52         1.98   2.94   \n",
+       "\n",
+       "   WS50M_MAX  WS50M_MIN  WS50M_RANGE  score  \n",
+       "0       6.04       3.23         2.81    NaN  \n",
+       "1       6.13       3.72         2.41    NaN  \n",
+       "2       9.52       5.87         3.66    NaN  \n",
+       "3       9.31       3.74         5.58    1.0  \n",
+       "4       4.85       0.65         4.19    NaN  \n",
+       "\n",
+       "[5 rows x 21 columns]"
+      ]
+     },
+     "execution_count": 2,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Load data\n",
+    "df = pd.read_csv(DATA_FILEPATH / \"train_timeseries.csv\")\n",
+    "df.head()\n",
+    "\n",
+    "   "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [
+    {
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+       "      <td>NaN</td>\n",
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+       "      <td>1001</td>\n",
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+       "      <td>100.55</td>\n",
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+       "      <td>14.71</td>\n",
+       "      <td>14.71</td>\n",
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+       "      <td>12.61</td>\n",
+       "      <td>...</td>\n",
+       "      <td>16.60</td>\n",
+       "      <td>2.52</td>\n",
+       "      <td>3.43</td>\n",
+       "      <td>1.83</td>\n",
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+       "      <td>6.13</td>\n",
+       "      <td>3.72</td>\n",
+       "      <td>2.41</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>1001</td>\n",
+       "      <td>2000-01-03</td>\n",
+       "      <td>3.65</td>\n",
+       "      <td>100.15</td>\n",
+       "      <td>11.76</td>\n",
+       "      <td>18.49</td>\n",
+       "      <td>16.52</td>\n",
+       "      <td>16.52</td>\n",
+       "      <td>22.73</td>\n",
+       "      <td>15.32</td>\n",
+       "      <td>...</td>\n",
+       "      <td>18.41</td>\n",
+       "      <td>4.03</td>\n",
+       "      <td>5.33</td>\n",
+       "      <td>2.66</td>\n",
+       "      <td>2.67</td>\n",
+       "      <td>7.53</td>\n",
+       "      <td>9.52</td>\n",
+       "      <td>5.87</td>\n",
+       "      <td>3.66</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>1001</td>\n",
+       "      <td>2000-01-04</td>\n",
+       "      <td>15.95</td>\n",
+       "      <td>100.29</td>\n",
+       "      <td>6.42</td>\n",
+       "      <td>11.40</td>\n",
+       "      <td>6.09</td>\n",
+       "      <td>6.10</td>\n",
+       "      <td>18.09</td>\n",
+       "      <td>2.16</td>\n",
+       "      <td>...</td>\n",
+       "      <td>11.31</td>\n",
+       "      <td>3.84</td>\n",
+       "      <td>5.67</td>\n",
+       "      <td>2.08</td>\n",
+       "      <td>3.59</td>\n",
+       "      <td>6.73</td>\n",
+       "      <td>9.31</td>\n",
+       "      <td>3.74</td>\n",
+       "      <td>5.58</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>1001</td>\n",
+       "      <td>2000-01-05</td>\n",
+       "      <td>0.00</td>\n",
+       "      <td>101.15</td>\n",
+       "      <td>2.95</td>\n",
+       "      <td>3.86</td>\n",
+       "      <td>-3.29</td>\n",
+       "      <td>-3.20</td>\n",
+       "      <td>10.82</td>\n",
+       "      <td>-2.66</td>\n",
+       "      <td>...</td>\n",
+       "      <td>2.65</td>\n",
+       "      <td>1.60</td>\n",
+       "      <td>2.50</td>\n",
+       "      <td>0.52</td>\n",
+       "      <td>1.98</td>\n",
+       "      <td>2.94</td>\n",
+       "      <td>4.85</td>\n",
+       "      <td>0.65</td>\n",
+       "      <td>4.19</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>5 rows × 21 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   fips       date  PRECTOT      PS   QV2M    T2M  T2MDEW  T2MWET  T2M_MAX  \\\n",
+       "0  1001 2000-01-01     0.22  100.51   9.65  14.74   13.51   13.51    20.96   \n",
+       "1  1001 2000-01-02     0.20  100.55  10.42  16.69   14.71   14.71    22.80   \n",
+       "2  1001 2000-01-03     3.65  100.15  11.76  18.49   16.52   16.52    22.73   \n",
+       "3  1001 2000-01-04    15.95  100.29   6.42  11.40    6.09    6.10    18.09   \n",
+       "4  1001 2000-01-05     0.00  101.15   2.95   3.86   -3.29   -3.20    10.82   \n",
+       "\n",
+       "   T2M_MIN  ...     TS  WS10M  WS10M_MAX  WS10M_MIN  WS10M_RANGE  WS50M  \\\n",
+       "0    11.46  ...  14.65   2.20       2.94       1.49         1.46   4.85   \n",
+       "1    12.61  ...  16.60   2.52       3.43       1.83         1.60   5.33   \n",
+       "2    15.32  ...  18.41   4.03       5.33       2.66         2.67   7.53   \n",
+       "3     2.16  ...  11.31   3.84       5.67       2.08         3.59   6.73   \n",
+       "4    -2.66  ...   2.65   1.60       2.50       0.52         1.98   2.94   \n",
+       "\n",
+       "   WS50M_MAX  WS50M_MIN  WS50M_RANGE  score  \n",
+       "0       6.04       3.23         2.81    NaN  \n",
+       "1       6.13       3.72         2.41    NaN  \n",
+       "2       9.52       5.87         3.66    NaN  \n",
+       "3       9.31       3.74         5.58    1.0  \n",
+       "4       4.85       0.65         4.19    NaN  \n",
+       "\n",
+       "[5 rows x 21 columns]"
+      ]
+     },
+     "execution_count": 3,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Convert date column to datetime\n",
+    "df[\"date\"] = pd.to_datetime(df[\"date\"])\n",
+    "df.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
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+       "\n",
+       "    .dataframe thead th {\n",
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+       "</style>\n",
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+       "      <th></th>\n",
+       "      <th>fips</th>\n",
+       "      <th>date</th>\n",
+       "      <th>PRECTOT</th>\n",
+       "      <th>PS</th>\n",
+       "      <th>QV2M</th>\n",
+       "      <th>T2M</th>\n",
+       "      <th>T2MDEW</th>\n",
+       "      <th>T2MWET</th>\n",
+       "      <th>T2M_MAX</th>\n",
+       "      <th>T2M_MIN</th>\n",
+       "      <th>...</th>\n",
+       "      <th>TS</th>\n",
+       "      <th>WS10M</th>\n",
+       "      <th>WS10M_MAX</th>\n",
+       "      <th>WS10M_MIN</th>\n",
+       "      <th>WS10M_RANGE</th>\n",
+       "      <th>WS50M</th>\n",
+       "      <th>WS50M_MAX</th>\n",
+       "      <th>WS50M_MIN</th>\n",
+       "      <th>WS50M_RANGE</th>\n",
+       "      <th>score</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>3653</th>\n",
+       "      <td>1001</td>\n",
+       "      <td>2010-01-01</td>\n",
+       "      <td>0.7</td>\n",
+       "      <td>100.81</td>\n",
+       "      <td>4.15</td>\n",
+       "      <td>3.81</td>\n",
+       "      <td>1.11</td>\n",
+       "      <td>1.13</td>\n",
+       "      <td>7.96</td>\n",
+       "      <td>-2.17</td>\n",
+       "      <td>...</td>\n",
+       "      <td>3.80</td>\n",
+       "      <td>3.04</td>\n",
+       "      <td>4.66</td>\n",
+       "      <td>1.91</td>\n",
+       "      <td>2.75</td>\n",
+       "      <td>5.46</td>\n",
+       "      <td>7.35</td>\n",
+       "      <td>3.52</td>\n",
+       "      <td>3.83</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3654</th>\n",
+       "      <td>1001</td>\n",
+       "      <td>2010-01-02</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>101.12</td>\n",
+       "      <td>2.45</td>\n",
+       "      <td>-1.94</td>\n",
+       "      <td>-5.62</td>\n",
+       "      <td>-5.55</td>\n",
+       "      <td>3.68</td>\n",
+       "      <td>-5.08</td>\n",
+       "      <td>...</td>\n",
+       "      <td>-1.87</td>\n",
+       "      <td>2.52</td>\n",
+       "      <td>3.81</td>\n",
+       "      <td>1.79</td>\n",
+       "      <td>2.02</td>\n",
+       "      <td>4.83</td>\n",
+       "      <td>5.86</td>\n",
+       "      <td>3.96</td>\n",
+       "      <td>1.91</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3655</th>\n",
+       "      <td>1001</td>\n",
+       "      <td>2010-01-03</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>100.95</td>\n",
+       "      <td>2.09</td>\n",
+       "      <td>-2.21</td>\n",
+       "      <td>-7.57</td>\n",
+       "      <td>-7.41</td>\n",
+       "      <td>3.46</td>\n",
+       "      <td>-5.09</td>\n",
+       "      <td>...</td>\n",
+       "      <td>-2.10</td>\n",
+       "      <td>2.24</td>\n",
+       "      <td>2.95</td>\n",
+       "      <td>1.71</td>\n",
+       "      <td>1.24</td>\n",
+       "      <td>4.21</td>\n",
+       "      <td>6.13</td>\n",
+       "      <td>3.16</td>\n",
+       "      <td>2.97</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3656</th>\n",
+       "      <td>1001</td>\n",
+       "      <td>2010-01-04</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>100.93</td>\n",
+       "      <td>1.92</td>\n",
+       "      <td>-3.24</td>\n",
+       "      <td>-8.57</td>\n",
+       "      <td>-8.39</td>\n",
+       "      <td>0.50</td>\n",
+       "      <td>-5.68</td>\n",
+       "      <td>...</td>\n",
+       "      <td>-3.12</td>\n",
+       "      <td>2.70</td>\n",
+       "      <td>3.66</td>\n",
+       "      <td>2.02</td>\n",
+       "      <td>1.63</td>\n",
+       "      <td>4.70</td>\n",
+       "      <td>5.61</td>\n",
+       "      <td>4.19</td>\n",
+       "      <td>1.42</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3657</th>\n",
+       "      <td>1001</td>\n",
+       "      <td>2010-01-05</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>101.08</td>\n",
+       "      <td>1.90</td>\n",
+       "      <td>-4.02</td>\n",
+       "      <td>-8.69</td>\n",
+       "      <td>-8.53</td>\n",
+       "      <td>1.67</td>\n",
+       "      <td>-7.80</td>\n",
+       "      <td>...</td>\n",
+       "      <td>-3.89</td>\n",
+       "      <td>2.62</td>\n",
+       "      <td>3.51</td>\n",
+       "      <td>1.94</td>\n",
+       "      <td>1.57</td>\n",
+       "      <td>4.76</td>\n",
+       "      <td>5.73</td>\n",
+       "      <td>3.95</td>\n",
+       "      <td>1.78</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>5 rows × 21 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "      fips       date  PRECTOT      PS  QV2M   T2M  T2MDEW  T2MWET  T2M_MAX  \\\n",
+       "3653  1001 2010-01-01      0.7  100.81  4.15  3.81    1.11    1.13     7.96   \n",
+       "3654  1001 2010-01-02      0.0  101.12  2.45 -1.94   -5.62   -5.55     3.68   \n",
+       "3655  1001 2010-01-03      0.0  100.95  2.09 -2.21   -7.57   -7.41     3.46   \n",
+       "3656  1001 2010-01-04      0.0  100.93  1.92 -3.24   -8.57   -8.39     0.50   \n",
+       "3657  1001 2010-01-05      0.0  101.08  1.90 -4.02   -8.69   -8.53     1.67   \n",
+       "\n",
+       "      T2M_MIN  ...    TS  WS10M  WS10M_MAX  WS10M_MIN  WS10M_RANGE  WS50M  \\\n",
+       "3653    -2.17  ...  3.80   3.04       4.66       1.91         2.75   5.46   \n",
+       "3654    -5.08  ... -1.87   2.52       3.81       1.79         2.02   4.83   \n",
+       "3655    -5.09  ... -2.10   2.24       2.95       1.71         1.24   4.21   \n",
+       "3656    -5.68  ... -3.12   2.70       3.66       2.02         1.63   4.70   \n",
+       "3657    -7.80  ... -3.89   2.62       3.51       1.94         1.57   4.76   \n",
+       "\n",
+       "      WS50M_MAX  WS50M_MIN  WS50M_RANGE  score  \n",
+       "3653       7.35       3.52         3.83    NaN  \n",
+       "3654       5.86       3.96         1.91    NaN  \n",
+       "3655       6.13       3.16         2.97    NaN  \n",
+       "3656       5.61       4.19         1.42    NaN  \n",
+       "3657       5.73       3.95         1.78    0.0  \n",
+       "\n",
+       "[5 rows x 21 columns]"
+      ]
+     },
+     "execution_count": 15,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "start_time = pd.to_datetime(\"2010-01-01\")\n",
+    "end_time = pd.to_datetime(\"2012-01-01\")\n",
+    "\n",
+    "# Remove entries that are not in the inderval\n",
+    "df = df[(df[\"date\"] >= start_time) & (df[\"date\"] < end_time)]    \n",
+    "df.head()    "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 17,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "date\n",
+       "730    3108\n",
+       "Name: count, dtype: int64"
+      ]
+     },
+     "execution_count": 17,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df.groupby(\"fips\")[\"date\"].nunique().value_counts()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 21,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Drop columns with missing values\n",
+    "df = df.dropna(axis=1)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 22,
+   "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 tr th {\n",
+       "        text-align: left;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead tr:last-of-type th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr>\n",
+       "      <th></th>\n",
+       "      <th colspan=\"10\" halign=\"left\">PRECTOT</th>\n",
+       "      <th>...</th>\n",
+       "      <th colspan=\"10\" halign=\"left\">WS50M_RANGE</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>date</th>\n",
+       "      <th>2010-01-01</th>\n",
+       "      <th>2010-01-02</th>\n",
+       "      <th>2010-01-03</th>\n",
+       "      <th>2010-01-04</th>\n",
+       "      <th>2010-01-05</th>\n",
+       "      <th>2010-01-06</th>\n",
+       "      <th>2010-01-07</th>\n",
+       "      <th>2010-01-08</th>\n",
+       "      <th>2010-01-09</th>\n",
+       "      <th>2010-01-10</th>\n",
+       "      <th>...</th>\n",
+       "      <th>2011-12-22</th>\n",
+       "      <th>2011-12-23</th>\n",
+       "      <th>2011-12-24</th>\n",
+       "      <th>2011-12-25</th>\n",
+       "      <th>2011-12-26</th>\n",
+       "      <th>2011-12-27</th>\n",
+       "      <th>2011-12-28</th>\n",
+       "      <th>2011-12-29</th>\n",
+       "      <th>2011-12-30</th>\n",
+       "      <th>2011-12-31</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>fips</th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>1001</th>\n",
+       "      <td>0.70</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>2.65</td>\n",
+       "      <td>0.00</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>...</td>\n",
+       "      <td>5.87</td>\n",
+       "      <td>2.03</td>\n",
+       "      <td>2.81</td>\n",
+       "      <td>2.02</td>\n",
+       "      <td>5.47</td>\n",
+       "      <td>3.42</td>\n",
+       "      <td>3.36</td>\n",
+       "      <td>4.02</td>\n",
+       "      <td>4.09</td>\n",
+       "      <td>6.26</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1003</th>\n",
+       "      <td>1.05</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>5.29</td>\n",
+       "      <td>0.10</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>...</td>\n",
+       "      <td>4.49</td>\n",
+       "      <td>0.97</td>\n",
+       "      <td>1.92</td>\n",
+       "      <td>4.36</td>\n",
+       "      <td>2.60</td>\n",
+       "      <td>4.66</td>\n",
+       "      <td>4.62</td>\n",
+       "      <td>3.04</td>\n",
+       "      <td>4.06</td>\n",
+       "      <td>5.65</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1005</th>\n",
+       "      <td>0.85</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>1.62</td>\n",
+       "      <td>0.31</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>...</td>\n",
+       "      <td>3.88</td>\n",
+       "      <td>1.44</td>\n",
+       "      <td>3.10</td>\n",
+       "      <td>2.97</td>\n",
+       "      <td>3.99</td>\n",
+       "      <td>4.56</td>\n",
+       "      <td>3.15</td>\n",
+       "      <td>5.18</td>\n",
+       "      <td>2.79</td>\n",
+       "      <td>4.52</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1007</th>\n",
+       "      <td>0.83</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>1.70</td>\n",
+       "      <td>0.00</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>...</td>\n",
+       "      <td>5.76</td>\n",
+       "      <td>2.29</td>\n",
+       "      <td>2.67</td>\n",
+       "      <td>3.15</td>\n",
+       "      <td>5.27</td>\n",
+       "      <td>2.70</td>\n",
+       "      <td>3.87</td>\n",
+       "      <td>4.01</td>\n",
+       "      <td>2.92</td>\n",
+       "      <td>6.42</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1009</th>\n",
+       "      <td>0.36</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.37</td>\n",
+       "      <td>0.00</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>...</td>\n",
+       "      <td>5.78</td>\n",
+       "      <td>1.72</td>\n",
+       "      <td>2.85</td>\n",
+       "      <td>5.14</td>\n",
+       "      <td>6.36</td>\n",
+       "      <td>3.53</td>\n",
+       "      <td>3.90</td>\n",
+       "      <td>4.02</td>\n",
+       "      <td>2.26</td>\n",
+       "      <td>7.10</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>5 rows × 13140 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "        PRECTOT                                                         \\\n",
+       "date 2010-01-01 2010-01-02 2010-01-03 2010-01-04 2010-01-05 2010-01-06   \n",
+       "fips                                                                     \n",
+       "1001       0.70        0.0        0.0        0.0        0.0        0.0   \n",
+       "1003       1.05        0.0        0.0        0.0        0.0        0.0   \n",
+       "1005       0.85        0.0        0.0        0.0        0.0        0.0   \n",
+       "1007       0.83        0.0        0.0        0.0        0.0        0.0   \n",
+       "1009       0.36        0.0        0.0        0.0        0.0        0.0   \n",
+       "\n",
+       "                                                  ... WS50M_RANGE             \\\n",
+       "date 2010-01-07 2010-01-08 2010-01-09 2010-01-10  ...  2011-12-22 2011-12-23   \n",
+       "fips                                              ...                          \n",
+       "1001       2.65       0.00        0.0        0.0  ...        5.87       2.03   \n",
+       "1003       5.29       0.10        0.0        0.0  ...        4.49       0.97   \n",
+       "1005       1.62       0.31        0.0        0.0  ...        3.88       1.44   \n",
+       "1007       1.70       0.00        0.0        0.0  ...        5.76       2.29   \n",
+       "1009       0.37       0.00        0.0        0.0  ...        5.78       1.72   \n",
+       "\n",
+       "                                                                        \\\n",
+       "date 2011-12-24 2011-12-25 2011-12-26 2011-12-27 2011-12-28 2011-12-29   \n",
+       "fips                                                                     \n",
+       "1001       2.81       2.02       5.47       3.42       3.36       4.02   \n",
+       "1003       1.92       4.36       2.60       4.66       4.62       3.04   \n",
+       "1005       3.10       2.97       3.99       4.56       3.15       5.18   \n",
+       "1007       2.67       3.15       5.27       2.70       3.87       4.01   \n",
+       "1009       2.85       5.14       6.36       3.53       3.90       4.02   \n",
+       "\n",
+       "                            \n",
+       "date 2011-12-30 2011-12-31  \n",
+       "fips                        \n",
+       "1001       4.09       6.26  \n",
+       "1003       4.06       5.65  \n",
+       "1005       2.79       4.52  \n",
+       "1007       2.92       6.42  \n",
+       "1009       2.26       7.10  \n",
+       "\n",
+       "[5 rows x 13140 columns]"
+      ]
+     },
+     "execution_count": 22,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df_pivot = df.pivot_table(index=\"fips\", columns=\"date\")\n",
+    "df_pivot.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 26,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "torch.Size([3108, 730, 18])"
+      ]
+     },
+     "execution_count": 26,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Create a tensor of shape (num_stocks, num_days, num_features) from df\n",
+    "X = torch.tensor(df_pivot.values, dtype=torch.float32)\n",
+    "X = rearrange(X, \"fips (feature day) -> fips day feature\", day=730)\n",
+    "X.shape"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 27,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "tensor([[  0.7000, 100.8100,   4.1500,   3.8100,   1.1100],\n",
+      "        [  0.0000, 101.1200,   2.4500,  -1.9400,  -5.6200],\n",
+      "        [  0.0000, 100.9500,   2.0900,  -2.2100,  -7.5700],\n",
+      "        ...,\n",
+      "        [  0.0000, 100.3100,   5.1400,   6.3400,   4.1100],\n",
+      "        [  0.0000, 100.1200,   7.8800,  11.2000,  10.2300],\n",
+      "        [  0.0000, 100.4700,   6.3800,  10.3100,   7.2600]])\n",
+      "tensor([[ 1.0500e+00,  1.0189e+02,  5.2100e+00,  6.9500e+00,  4.4200e+00],\n",
+      "        [ 0.0000e+00,  1.0219e+02,  3.7000e+00,  3.0600e+00, -2.7000e-01],\n",
+      "        [ 0.0000e+00,  1.0203e+02,  2.9000e+00,  1.0600e+00, -3.5900e+00],\n",
+      "        ...,\n",
+      "        [ 7.0000e-02,  1.0142e+02,  6.7700e+00,  1.2030e+01,  8.0800e+00],\n",
+      "        [ 9.0000e-02,  1.0130e+02,  9.5500e+00,  1.5210e+01,  1.3420e+01],\n",
+      "        [ 4.0000e-02,  1.0160e+02,  9.7500e+00,  1.5140e+01,  1.3760e+01]])\n",
+      "tensor([[ 8.5000e-01,  1.0078e+02,  4.7600e+00,  5.5200e+00,  3.0300e+00],\n",
+      "        [ 0.0000e+00,  1.0114e+02,  2.8200e+00, -3.0000e-01, -3.8500e+00],\n",
+      "        [ 0.0000e+00,  1.0099e+02,  2.3200e+00, -1.6900e+00, -6.2800e+00],\n",
+      "        ...,\n",
+      "        [ 0.0000e+00,  1.0058e+02,  5.7800e+00,  9.1100e+00,  5.7300e+00],\n",
+      "        [ 7.0000e-02,  1.0045e+02,  8.4900e+00,  1.3620e+01,  1.1520e+01],\n",
+      "        [ 1.0000e-02,  1.0071e+02,  8.0000e+00,  1.3300e+01,  1.0640e+01]])\n",
+      "tensor([[  0.8300, 100.8300,   3.8700,   2.9300,   0.1600],\n",
+      "        [  0.0000, 101.1100,   2.3200,  -2.4600,  -6.2600],\n",
+      "        [  0.0000, 100.9300,   2.0300,  -2.2600,  -7.9200],\n",
+      "        ...,\n",
+      "        [  0.0000, 100.1900,   5.0200,   5.7300,   3.7700],\n",
+      "        [  0.0000,  99.9900,   7.4000,  10.2800,   9.3200],\n",
+      "        [  0.0000, 100.3600,   6.1100,   9.7200,   6.6500]])\n",
+      "tensor([[  0.3600, 100.0200,   3.5800,   1.6700,  -1.0500],\n",
+      "        [  0.0000, 100.2900,   2.1300,  -3.3200,  -7.3700],\n",
+      "        [  0.0000, 100.1400,   1.7900,  -3.2800,  -9.4800],\n",
+      "        ...,\n",
+      "        [  0.0000,  99.4000,   4.7200,   4.7600,   2.7900],\n",
+      "        [  0.0000,  99.2000,   7.1900,   9.2200,   8.7200],\n",
+      "        [  0.0000,  99.5800,   5.7900,   8.9200,   5.7800]])\n"
+     ]
+    }
+   ],
+   "source": [
+    "for ex in range(5):\n",
+    "    print(X[ex, :, 0:5])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 28,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Train set shape: torch.Size([2797, 730, 18])\n",
+      "Test set shape: torch.Size([311, 730, 18])\n"
+     ]
+    }
+   ],
+   "source": [
+    "train_ratio = 0.9\n",
+    "num_train = int(train_ratio * len(X))\n",
+    "perm_idx = torch.randperm(len(X))\n",
+    "train_examples, test_examples = perm_idx[:num_train], perm_idx[num_train:]\n",
+    "X_train, X_test = X[train_examples], X[test_examples]\n",
+    "print(f\"Train set shape: {X_train.shape}\")\n",
+    "print(f\"Test set shape: {X_test.shape}\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 36,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/home/jonathan/anaconda3/envs/fdiff/lib/python3.10/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
+      "  if pd.api.types.is_categorical_dtype(vector):\n",
+      "/home/jonathan/anaconda3/envs/fdiff/lib/python3.10/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
+      "  if pd.api.types.is_categorical_dtype(vector):\n",
+      "/home/jonathan/anaconda3/envs/fdiff/lib/python3.10/site-packages/seaborn/_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n",
+      "  with pd.option_context('mode.use_inf_as_na', True):\n",
+      "/home/jonathan/anaconda3/envs/fdiff/lib/python3.10/site-packages/seaborn/_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n",
+      "  with pd.option_context('mode.use_inf_as_na', True):\n",
+      "/home/jonathan/anaconda3/envs/fdiff/lib/python3.10/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
+      "  if pd.api.types.is_categorical_dtype(vector):\n",
+      "/home/jonathan/anaconda3/envs/fdiff/lib/python3.10/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
+      "  if pd.api.types.is_categorical_dtype(vector):\n",
+      "/home/jonathan/anaconda3/envs/fdiff/lib/python3.10/site-packages/seaborn/_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n",
+      "  with pd.option_context('mode.use_inf_as_na', True):\n",
+      "/home/jonathan/anaconda3/envs/fdiff/lib/python3.10/site-packages/seaborn/_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n",
+      "  with pd.option_context('mode.use_inf_as_na', True):\n"
+     ]
+    },
+    {
+     "data": {
+      "text/plain": [
+       "Text(0, 0.5, 'Singular value')"
+      ]
+     },
+     "execution_count": 36,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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67tlnnxV9+vS5ai05OTkCgNi/f78Q4uqBqPLnfPfddwJAtYFHiNoJRHIH7ADs378fMTExKCkpgZ+fH1auXImWLVti69atAICQkBCH9iEhIfj9998BANnZ2fD09ET9+vWrtMnOzlbbBAcHV/nc4OBgtU11pk2bhr///e83dWzOEJxUTUTklB49emDevHnqsq+vr/p7hw4dHNru3r0bGzduhJ+fX5X9HDt2DJcuXYLFYkFMTIy6PjAwEM2bN3eqpt27d+O3336Dv7+/w/qSkhKHYaJWrVpBq9Wqy6Ghodi/fz8AIC0tDVqtFt26dav2M0JDQ/Hoo4/ik08+wQMPPID//e9/KCkpwZ///Odq25tMJmRlZTkcm4eHBzp06KD+7Tl27BhKS0vRpUsXtY1Op8MDDzyA9PR0h/21bt1a/T0kJAQ+Pj64++67Hdbt2LFDXT527BgmT56M1NRUnDt3DjabDQBw8uTJa06krvw5oaGhAICcnBw0btz4qu+5GdIDUfPmzZGWloYLFy7gq6++wvDhw5GSkqJuV66YdSyEqLLuSle2qa799fYzadIkjB8/Xl0uKChAeHj4dY/HaZxUTUSuROcDvHZG3mc7wdfXF02bNr3qtspsNhsee+wxvPPOO1XahoaG4ujRozX6TEVRqvwHbOW5PzabDe3bt8eyZcuqvLdhw4bq7zqdrsp+K4KCt7f3dev461//ivj4eMyePRuLFi3CkCFD4OPj3PmrrOKYavI3t3LtiqJc81gA4LHHHkN4eDgWLlyIsLAw2Gw2REVFXXey+5WfA8Bhv7VN+mX3np6eaNq0KTp06IBp06ahTZs2+Ne//gWj0QgAVXpxcnJy1F4jo9EIi8WC/Pz8a7Y5e/Zslc/Nzc2t0vtUmV6vV69+q3jVBfVO1XWydyIiJykK4Okr51WHl922a9cOBw8eRJMmTdC0aVOHV0Ww0ul0SE1NVd+Tn5+PX3/91WE/DRs2RFZWlrp89OhRhwnE7dq1w9GjRxEcHFzlcwwGQ41qjY6Ohs1mc+gcuNIjjzwCX19fzJs3D2vWrMGIESOu2tZgMCA0NNTh2MrKyrB79251uWnTpvD09MSWLVvUdaWlpdi1axdatGhRo7qrk5eXh/T0dPzf//0fHn74YbRo0aLK32xXIT0QXUkIAbPZjMjISBiNRqxfv17dZrFYkJKSgs6dOwMA2rdvD51O59AmKysLBw4cUNvExMTAZDI5dN9t374dJpNJbeMKOGJGRFR3xowZg/Pnz+OJJ57Ajh07cPz4caxbtw4jRoyA1WqFn58fRo4ciZdeegk//vgjDhw4gISEBGg0jn8me/bsiblz52LPnj3YtWsXRo8e7dCTMWzYMAQFBWHAgAH46aefkJGRgZSUFLz44otVbglzNU2aNMHw4cMxYsQIrFq1ChkZGdi0aRP+85//qG20Wi0SEhIwadIkNG3a1GE4rDovvvgipk+fjpUrV+Lw4cN4/vnnHW4/4+vri+eeew4vvfQSkpOTcejQIYwaNQrFxcUYOXJkjequTsWVdh9++CF+++03bNiwwWH0xZVIHTJ77bXX0K9fP4SHh6OwsBDLly/Hpk2bkJycDEVRkJiYiKlTp6JZs2Zo1qwZpk6dCh8fHwwdOhSAPfWOHDkSEyZMQIMGDRAYGIiJEyciOjoavXr1AgC0aNECffv2xahRo7BgwQIAwDPPPIO4uDinx4brwvWG/4iI6OaFhYXh559/xiuvvII+ffrAbDYjIiICffv2VUPPP//5T1y8eBH9+/eHv78/JkyYAJPJ5LCfmTNn4umnn0bXrl0RFhaGf/3rXw49LT4+Pti8eTNeeeUVDBo0CIWFhbjrrrvw8MMPOzXSMG/ePLz22mt4/vnnkZeXh8aNG+O1115zaDNy5EhMnTr1mr1DFSZMmICsrCw15I0YMQJ//OMfHY5v+vTpsNlsiI+PR2FhITp06IC1a9dWmafrDI1Gg+XLl+OFF15AVFQUmjdvjvfeew/du3e/4X3WmWtOua5jI0aMEBEREcLT01M0bNhQPPzww2LdunXqdpvNJqZMmSKMRqPQ6/Wia9eu6qz0CpcuXRJjx44VgYGBwtvbW8TFxYmTJ086tMnLyxPDhg0T/v7+wt/fXwwbNkzk5+c7VWtdXXY/7vM9IuKV/4mPfjpeq/slIqqJa12dQ/Yr1ipfZeZKtmzZIjw8PER2drbsUqS77a8y+/jjj6+5XVEUJCUlISkp6aptvLy88P777+P999+/apvAwEAsXbr0Rsu8JQTHzIiIqAbMZjMyMzMxefJkDB48+JrzYanmXG4OkbvhiBkRETnjiy++QPPmzWEymTBjxgzZ5dwxpF927+6Yh4iIXNemTZtkl1BFQkICEhISZJdxx2EPkYvgiBkREZE8DESS8SozInIFnMdIt7Pa+P4yELkIwVszEpEEFY+PuN5dg4lcWcXNMa+8a7YzOIdIMvVO1cxDRCSBh4cHfHx8kJubC51OV+VGhESuTAiB4uJi5OTkoF69eg7Ph3MWA5FsHDEjIokURUFoaCgyMjLUB2cT3W7q1aunPvLrRjEQuQh2EBGRLJ6enmjWrBmHzei2pNPpbqpnqAIDkWRKeRcRh8yISCaNRgMvLy/ZZRBJw8FiyXiRGRERkXwMRC6CV5kRERHJw0AkGa8yIyIiko+BSDIOmREREcnHQERERERuj4FIMoU3IiIiIpKOgUiyiiEzPkeIiIhIHgYiF8E8REREJA8DkWScVE1ERCQfA5F05XeqllwFERGRO2MgchEcMiMiIpKHgUgyDpkRERHJx0AkmXqnag6aERERScNA5CI4ZEZERCQPA5FkHDIjIiKSj4FIMoVXmREREUnHQOQqOGZGREQkDQORZBwyIyIiko+BSLLLV5kRERGRLAxELoIjZkRERPIwEEmmcMyMiIhIOgYiF8EbMxIREcnDQOQiOGRGREQkDwORZBwxIyIiko+ByEWwg4iIiEgeBiLJFLCLiIiISDYGIskqhsw4h4iIiEgeBiIXwavMiIiI5GEgkowDZkRERPIxEEmm8NkdRERE0jEQuQjmISIiInkYiCTjozuIiIjkkxqIpk2bhvvvvx/+/v4IDg7GwIEDceTIEYc2CQkJUBTF4dWpUyeHNmazGePGjUNQUBB8fX3Rv39/nDp1yqFNfn4+4uPjYTAYYDAYEB8fjwsXLtT1IV6XOmLGy8yIiIikkRqIUlJSMGbMGKSmpmL9+vUoKytDbGwsioqKHNr17dsXWVlZ6uv777932J6YmIiVK1di+fLl2LJlCy5evIi4uDhYrVa1zdChQ5GWlobk5GQkJycjLS0N8fHxt+Q4a4J5iIiISB4PmR+enJzssLxo0SIEBwdj9+7d6Nq1q7per9fDaDRWuw+TyYSPP/4Yn332GXr16gUAWLp0KcLDw/HDDz+gT58+SE9PR3JyMlJTU9GxY0cAwMKFCxETE4MjR46gefPmdXSENcARMyIiIulcag6RyWQCAAQGBjqs37RpE4KDg3HPPfdg1KhRyMnJUbft3r0bpaWliI2NVdeFhYUhKioKW7duBQBs27YNBoNBDUMA0KlTJxgMBrXNlcxmMwoKChxedaHiTtXsICIiIpLHZQKREALjx4/Hgw8+iKioKHV9v379sGzZMmzYsAEzZ87Ezp070bNnT5jNZgBAdnY2PD09Ub9+fYf9hYSEIDs7W20THBxc5TODg4PVNleaNm2aOt/IYDAgPDy8tg61WhwyIyIikkfqkFllY8eOxb59+7BlyxaH9UOGDFF/j4qKQocOHRAREYHvvvsOgwYNuur+hBAOV3BVdzXXlW0qmzRpEsaPH68uFxQU1Eko4kVmRERE8rlED9G4ceOwevVqbNy4EY0aNbpm29DQUERERODo0aMAAKPRCIvFgvz8fId2OTk5CAkJUducPXu2yr5yc3PVNlfS6/UICAhweNWFy/dlZBcRERGRLFIDkRACY8eOxddff40NGzYgMjLyuu/Jy8tDZmYmQkNDAQDt27eHTqfD+vXr1TZZWVk4cOAAOnfuDACIiYmByWTCjh071Dbbt2+HyWRS28jGITMiIiJ5pA6ZjRkzBp9//jm++eYb+Pv7q/N5DAYDvL29cfHiRSQlJeHxxx9HaGgoTpw4gddeew1BQUH44x//qLYdOXIkJkyYgAYNGiAwMBATJ05EdHS0etVZixYt0LdvX4waNQoLFiwAADzzzDOIi4uTe4UZOGRGRETkCqQGonnz5gEAunfv7rB+0aJFSEhIgFarxf79+/Hpp5/iwoULCA0NRY8ePbBixQr4+/ur7WfPng0PDw8MHjwYly5dwsMPP4zFixdDq9WqbZYtW4YXXnhBvRqtf//+mDt3bt0f5HUovO6eiIhIOkXwFsk1UlBQAIPBAJPJVKvzid5dewRzN/6GhM5NkNS/Va3tl4iIiGr+99slJlW7s4ohM+ZSIiIieVzmsnt3FZP5EaJ1u3GqMAFA1PWaExERUR1gD5FkYYX7EKvdDUNpzvUbExERUZ1gIJJMVEyqFja5hRAREbkxBiLZLk8iklsHERGRG2Mgkqyih0jhnaqJiIikYSCSjj1EREREsjEQyaZcfpoZERERycFAJJkAAxEREZFsDESycVI1ERGRdAxEkonyfwJOqiYiIpKHgchFKOB9iIiIiGRhIJJNHTKTWwYREZE7YyCSjnOIiIiIZGMgkkwoFf8EDERERESyMBBJV3Gnas4hIiIikoWBSDLBITMiIiLpGIhkq7gvI4fMiIiIpGEgkq78n4B5iIiISBoGIslE+WX3Gs4hIiIikoaBSDrOISIiIpKNgUg2Pu2eiIhIOgYi6RiIiIiIZGMgkq28h0jhkBkREZE0DETSsYeIiIhINgYiyYR6p2oGIiIiIlkYiGSreJYZh8yIiIikYSCSTHDIjIiISDoGItmUih8MRERERLIwEEnHITMiIiLZGIhk440ZiYiIpGMgkoxXmREREcnHQCSbwmeZERERycZAJB2HzIiIiGRjIHIRHDIjIiKSh4FINkVr/8EhMyIiImkYiCQTFSNmsMksg4iIyK0xEEmnVPq/REREJAMDkWy8yoyIiEi6GwpEn332Gbp06YKwsDD8/vvvAIA5c+bgm2++qdXi3IP9n4CTqomIiORxOhDNmzcP48ePxyOPPIILFy7AarUCAOrVq4c5c+bUdn13PMEeIiIiIumcDkTvv/8+Fi5ciNdffx1arVZd36FDB+zfv79Wi3MPFXOIOKmaiIhIFqcDUUZGBtq2bVtlvV6vR1FRkVP7mjZtGu6//374+/sjODgYAwcOxJEjRxzaCCGQlJSEsLAweHt7o3v37jh48KBDG7PZjHHjxiEoKAi+vr7o378/Tp065dAmPz8f8fHxMBgMMBgMiI+Px4ULF5yqt25wOjUREZFsTgeiyMhIpKWlVVm/Zs0atGzZ0ql9paSkYMyYMUhNTcX69etRVlaG2NhYh2A1Y8YMzJo1C3PnzsXOnTthNBrRu3dvFBYWqm0SExOxcuVKLF++HFu2bMHFixcRFxenDucBwNChQ5GWlobk5GQkJycjLS0N8fHxzh5+7dNwyIyIiEg64aRPPvlE3HXXXWL58uXC19dXfPHFF+Ktt95Sf78ZOTk5AoBISUkRQghhs9mE0WgU06dPV9uUlJQIg8Eg5s+fL4QQ4sKFC0Kn04nly5erbU6fPi00Go1ITk4WQghx6NAhAUCkpqaqbbZt2yYAiMOHD1dbS0lJiTCZTOorMzNTABAmk+mmjvFK+z+dIMSUAPHDzOG1ul8iIiISwmQy1ejvt9M9RE8//TSmTJmCl19+GcXFxRg6dCjmz5+Pf/3rX/jLX/5yU+HMZDIBAAIDAwHYh+eys7MRGxurttHr9ejWrRu2bt0KANi9ezdKS0sd2oSFhSEqKkpts23bNhgMBnTs2FFt06lTJxgMBrXNlaZNm6YOrxkMBoSHh9/UsV0dn3ZPREQk2w1ddj9q1Cj8/vvvyMnJQXZ2NjIzMzFy5MibKkQIgfHjx+PBBx9EVFQUACA7OxsAEBIS4tA2JCRE3ZadnQ1PT0/Ur1//mm2Cg4OrfGZwcLDa5kqTJk2CyWRSX5mZmTd1fFfFq8yIiIik87iZNwcFBdVWHRg7diz27duHLVu2VNmmKI4Tj4UQVdZd6co21bW/1n70ej30en1NSr9JFZmUgYiIiEgWpwNRZGTkNcPI8ePHnS5i3LhxWL16NTZv3oxGjRqp641GIwB7D09oaKi6PicnR+01MhqNsFgsyM/Pd+glysnJQefOndU2Z8+erfK5ubm5VXqfbrWK+xBpeNk9ERGRNE4HosTERIfl0tJS7N27F8nJyXjppZec2pcQAuPGjcPKlSuxadMmREZGOmyPjIyE0WjE+vXr1Uv9LRYLUlJS8M477wAA2rdvD51Oh/Xr12Pw4MEAgKysLBw4cAAzZswAAMTExMBkMmHHjh144IEHAADbt2+HyWRSQ5M0FdmSHURERETSOB2IXnzxxWrX//vf/8auXbuc2teYMWPw+eef45tvvoG/v786n8dgMMDb2xuKoiAxMRFTp05Fs2bN0KxZM0ydOhU+Pj4YOnSo2nbkyJGYMGECGjRogMDAQEycOBHR0dHo1asXAKBFixbo27cvRo0ahQULFgAAnnnmGcTFxaF58+bOnoJapXDIjIiISLpae7hrv3798NVXXzn1nnnz5sFkMqF79+4IDQ1VXytWrFDbvPzyy0hMTMTzzz+PDh064PTp01i3bh38/f3VNrNnz8bAgQMxePBgdOnSBT4+Pvj2228d7qS9bNkyREdHIzY2FrGxsWjdujU+++yzmz/wmyR4lRkREZF0ihC1c3nTjBkz8MEHH+DEiRO1sTuXU1BQAIPBAJPJhICAgFrb7/4vJiP6yHvY7NcXXSeuuP4biIiIqMZq+vfb6SGztm3bOkyqFkIgOzsbubm5+OCDD26sWnemXnYvtwwiIiJ35nQgGjhwoMOyRqNBw4YN0b17d9x77721VZfbEJxVTUREJJ3TgWjKlCl1UYf7UuzTuDiHiIiISJ4aBaKCgoIa77A259e4A4WTqomIiKSrUSCqV69eje8MXfkJ83R9go/uICIikq5GgWjjxo11XYcb4xwiIiIi2WoUiLp161bXdbgvDYfMiIiIZLvhh7sWFxfj5MmTsFgsDutbt25900W5FwYiIiIi2ZwORLm5uXj66aexZs2aardzDpGzyq8y4xwiIiIiaZx+dEdiYiLy8/ORmpoKb29vJCcnY8mSJWjWrBlWr15dFzXe0S7PVWcgIiIiksXpHqINGzbgm2++wf333w+NRoOIiAj07t0bAQEBmDZtGh599NG6qPOOJXgfIiIiIumc7iEqKipCcHAwACAwMBC5ubkAgOjoaOzZs6d2q3ML5XOIOGRGREQkjdOBqHnz5jhy5AgA4L777sOCBQtw+vRpzJ8/H6GhobVe4J2Oj+4gIiKSz+khs8TERGRlZQGwP8ajT58+WLZsGTw9PbF48eLaru+Od/mGlwxEREREsjgdiIYNG6b+3rZtW5w4cQKHDx9G48aNERQUVKvFuQXOISIiIpLO6SGzlJQUh2UfHx+0a9eOYegGCd6HiIiISDqnA1Hv3r3RuHFjvPrqqzhw4EBd1ORWLo+YMRARERHJ4nQgOnPmDF5++WX89NNPaN26NVq3bo0ZM2bg1KlTdVGfG+CQGRERkWxOB6KgoCCMHTsWP//8M44dO4YhQ4bg008/RZMmTdCzZ8+6qPGOdvk+RERERCSL04GossjISLz66quYPn06oqOjq8wvouurGDJTYJNbCBERkRu74UD0888/4/nnn0doaCiGDh2KVq1a4X//+19t1uYmyhMR5xARERFJ4/Rl96+99hq++OILnDlzBr169cKcOXMwcOBA+Pj41EV9dz6l4iozIiIiksXpQLRp0yZMnDgRQ4YM4aX2tUGp6KRjDxEREZEsTgeirVu31kUdbuvyfYg4h4iIiEiWm5pUTbWAQ2ZERETSMRBJpj7LjJOqiYiIpGEgko43ZiQiIpLNqUBktVqRkpKC/Pz8uqrH7QiFzzIjIiKSzalApNVq0adPH1y4cKGOynE/CgMRERGRdE4PmUVHR+P48eN1UYubUp/uKrUKIiIid+Z0IHr77bcxceJE/O9//0NWVhYKCgocXuQkhXOIiIiIZHP6PkR9+/YFAPTv3//yFVIAhBBQFAVWq7X2qnMHFc8y41VmRERE0jgdiDZu3FgXdbgvziEiIiKSzulA1K1bt7qow41xDhEREZFsTgeiCsXFxTh58iQsFovD+tatW990UW5F0dp/SC6DiIjInTkdiHJzc/H0009jzZo11W7nHCInVcwh4rPMiIiIpHH6KrPExETk5+cjNTUV3t7eSE5OxpIlS9CsWTOsXr26Lmq8w5XPIeKkaiIiImmc7iHasGEDvvnmG9x///3QaDSIiIhA7969ERAQgGnTpuHRRx+tizrvYBwsIyIiks3pHqKioiIEBwcDAAIDA5GbmwvAfsPGPXv21G51bkDRVMwhYg8RERGRLE4HoubNm+PIkSMAgPvuuw8LFizA6dOnMX/+fISGhtZ6gXe6ihjEQERERCSP00NmiYmJyMrKAgBMmTIFffr0wbJly+Dp6YnFixfXdn13PAW8DxEREZFsTvcQDRs2DAkJCQCAtm3b4sSJE9i5cycyMzMxZMgQp/a1efNmPPbYYwgLC4OiKFi1apXD9oSEBCiK4vDq1KmTQxuz2Yxx48YhKCgIvr6+6N+/P06dOuXQJj8/H/Hx8TAYDDAYDIiPj3edB9QqvA8RERGRbE4Hoiv5+PigXbt2CAoKcvq9RUVFaNOmDebOnXvVNn379kVWVpb6+v777x22JyYmYuXKlVi+fDm2bNmCixcvIi4uzuHy/6FDhyItLQ3JyclITk5GWloa4uPjna63TlQ8y4xXmREREUlToyGz8ePH13iHs2bNqnHbfv36oV+/ftdso9frYTQaq91mMpnw8ccf47PPPkOvXr0AAEuXLkV4eDh++OEH9OnTB+np6UhOTkZqaio6duwIAFi4cCFiYmJw5MgRNG/evNp9m81mmM1mdbnOHlzLR3cQERFJV6NAtHfv3hrtrPLDXmvLpk2bEBwcjHr16qFbt254++231avcdu/ejdLSUsTGxqrtw8LCEBUVha1bt6JPnz7Ytm0bDAaDGoYAoFOnTjAYDNi6detVA9G0adPw97//vdaPpyoGIiIiItlqFIhkPdC1X79++POf/4yIiAhkZGRg8uTJ6NmzJ3bv3g29Xo/s7Gx4enqifv36Du8LCQlBdnY2ACA7O1sNUJUFBwerbaozadIkh56xgoIChIeH19KRXaawh4iIiEi6G36W2a1QeZJ2VFQUOnTogIiICHz33XcYNGjQVd8nhHDoraqu5+rKNlfS6/XQ6/U3WLkTlJuexkVEREQ3yelA1KNHj2sGiQ0bNtxUQdcSGhqKiIgIHD16FABgNBphsViQn5/v0EuUk5ODzp07q23Onj1bZV+5ubkICQmps1przn4uNXyWGRERkTROd0/cd999aNOmjfpq2bIlLBYL9uzZg+jo6LqoUZWXl4fMzEz1BpDt27eHTqfD+vXr1TZZWVk4cOCAGohiYmJgMpmwY8cOtc327dthMpnUNjKJOph3RURERM5xuodo9uzZ1a5PSkrCxYsXndrXxYsX8dtvv6nLGRkZSEtLQ2BgIAIDA5GUlITHH38coaGhOHHiBF577TUEBQXhj3/8IwDAYDBg5MiRmDBhAho0aIDAwEBMnDgR0dHR6lVnLVq0QN++fTFq1CgsWLAAAPDMM88gLi7uqhOqbymN/Z9AI6zXaUhERER1pdYmsDz55JP45JNPnHrPrl270LZtW7Rt2xaA/fL+tm3b4o033oBWq8X+/fsxYMAA3HPPPRg+fDjuuecebNu2Df7+/uo+Zs+ejYEDB2Lw4MHo0qULfHx88O2330Kr1aptli1bhujoaMTGxiI2NhatW7fGZ599VjsHfpOEYq9TyyEzIiIiaWptUvW2bdvg5eXl1Hu6d+8OcY0bEq5du/a6+/Dy8sL777+P999//6ptAgMDsXTpUqdqu2U0FYGIPURERESyOB2Irry6SwiBrKws7Nq1C5MnT661wtwGAxEREZF0Tgcig8HgsKzRaNC8eXP84x//cLhBItWQUj6HiENmRERE0jgdiBYtWlQXdbiv8knVWk6qJiIikoZ3BZRNWx6IOGRGREQkjdM9RPXr16/2xoyKosDLywtNmzZFQkICnn766Vop8E6naOyZlFeZERERyeN0IHrjjTfw9ttvo1+/fnjggQcghMDOnTuRnJyMMWPGICMjA8899xzKysowatSouqj5jiIUHQDOISIiIpLJ6UC0ZcsWvPXWWxg9erTD+gULFmDdunX46quv0Lp1a7z33nsMRDWh5VVmREREsjk9h2jt2rXqXaAre/jhh9X7Bj3yyCM4fvz4zVfnBhRNRQ+RAGzsJSIiIpLB6UAUGBiIb7/9tsr6b7/9FoGBgQCAoqIih7tJ0zVUftq9rUxeHURERG7M6SGzyZMn47nnnsPGjRvxwAMPQFEU7NixA99//z3mz58PAFi/fj26detW68XeiRRtpX8CWxkAT2m1EBERuSunA9GoUaPQsmVLzJ07F19//TWEELj33nuRkpKiPj1+woQJtV7onUrRVPon4L2IiIiIpLihZ5l16dIFXbp0qe1a3JLQXNlDRERERLfaDQUim82G3377DTk5ObBdMRG4a9eutVKYu9A4BCL2EBEREcngdCBKTU3F0KFD8fvvv1d5Ur2iKLBa+UfdGYpGgVUo0CqCPURERESSOB2IRo8ejQ4dOuC7775DaGhotXetpppTFKAMWmhRxh4iIiIiSZwOREePHsWXX36Jpk2b1kU9bkejKLBCC6CMPURERESSOH0foo4dO+K3336ri1rckgKgrOKfgYGIiIhICqd7iMaNG4cJEyYgOzsb0dHR0Ol0Dttbt25da8W5A0VRYFMDEYfMiIiIZHA6ED3++OMAgBEjRqjrFEWBEIKTqm9AxRwiAOwhIiIiksTpQJSRkVEXdbgtBYC1ooeIN2YkIiKSwulAFBERURd1uC2NorCHiIiISLIaBaLVq1ejX79+0Ol0WL169TXb9u/fv1YKcxeKAliFxt5VxDlEREREUtQoEA0cOBDZ2dkIDg7GwIEDr9qOc4icZ+8h4lVmREREMtUoEFV+PMeVj+qgm2dVh8wYJomIiGRw+j5EVLt4lRkREZF8NQ5E27dvx5o1axzWffrpp4iMjERwcDCeeeYZmM3mWi/wTme/UzWHzIiIiGSqcSBKSkrCvn371OX9+/dj5MiR6NWrF1599VV8++23mDZtWp0UeSdTlEqX3XPIjIiISIoaB6K0tDQ8/PDD6vLy5cvRsWNHLFy4EOPHj8d7772H//znP3VS5J1MgVJpDhF7iIiIiGSocSDKz89HSEiIupySkoK+ffuqy/fffz8yMzNrtzo3oFEqPcuMN2YkIiKSosaBKCQkRL1LtcViwZ49exATE6NuLywsrPJcM6oBpdJVZtZSubUQERG5qRoHor59++LVV1/FTz/9hEmTJsHHxwcPPfSQun3fvn34wx/+UCdF3sk0ioIyUdFDxFsaEBERyVDjR3e89dZbGDRoELp16wY/Pz8sWbIEnp6e6vZPPvkEsbGxdVLkncz+LDN7D5GwlkKRWw4REZFbqnEgatiwIX766SeYTCb4+flBq9U6bP/vf/8LPz+/Wi/wTqfXadWrzEosFnhLroeIiMgdOf1wV4PBUO36wMDAmy7GHfnpPaDR2v8ZLly8xEBEREQkAe9U7QJsSvmQGS+7JyIikoKByAWogYhXmREREUnBQOQCbIp9yExY2UNEREQkAwORC7g8ZMYbMxIREcnAQOQChDpkxh4iIiIiGRiIXAAnVRMREcnFQOQCKnqIwB4iIiIiKaQGos2bN+Oxxx5DWFgYFEXBqlWrHLYLIZCUlISwsDB4e3uje/fuOHjwoEMbs9mMcePGISgoCL6+vujfvz9OnTrl0CY/Px/x8fEwGAwwGAyIj4/HhQsX6vjoak6wh4iIiEgqqYGoqKgIbdq0wdy5c6vdPmPGDMyaNQtz587Fzp07YTQa0bt3bxQWFqptEhMTsXLlSixfvhxbtmzBxYsXERcXB6v18gTloUOHIi0tDcnJyUhOTkZaWhri4+Pr/PhqikNmREREcjl9p+ra1K9fP/Tr16/abUIIzJkzB6+//joGDRoEAFiyZAlCQkLw+eef49lnn4XJZMLHH3+Mzz77DL169QIALF26FOHh4fjhhx/Qp08fpKenIzk5GampqejYsSMAYOHChYiJicGRI0fQvHnzW3Ow1yDKL7uHlVeZERERyeCyc4gyMjKQnZ3t8MBYvV6Pbt26YevWrQCA3bt3o7S01KFNWFgYoqKi1Dbbtm2DwWBQwxAAdOrUCQaDQW1THbPZjIKCAodXXVHnELGHiIiISAqXDUTZ2dkAgJCQEIf1ISEh6rbs7Gx4enqifv3612wTHBxcZf/BwcFqm+pMmzZNnXNkMBgQHh5+U8dzLRVDZhAMRERERDK4bCCqoCiKw7IQosq6K13Zprr219vPpEmTYDKZ1FdmZqaTlTtBUz5kxh4iIiIiKVw2EBmNRgCo0ouTk5Oj9hoZjUZYLBbk5+dfs83Zs2er7D83N7dK71Nler0eAQEBDq+6IjS8MSMREZFMLhuIIiMjYTQasX79enWdxWJBSkoKOnfuDABo3749dDqdQ5usrCwcOHBAbRMTEwOTyYQdO3aobbZv3w6TyaS2ka58yEzhkBkREZEUUq8yu3jxIn777Td1OSMjA2lpaQgMDETjxo2RmJiIqVOnolmzZmjWrBmmTp0KHx8fDB06FABgMBgwcuRITJgwAQ0aNEBgYCAmTpyI6Oho9aqzFi1aoG/fvhg1ahQWLFgAAHjmmWcQFxfnEleYAZUnVdvkFkJEROSmpAaiXbt2oUePHury+PHjAQDDhw/H4sWL8fLLL+PSpUt4/vnnkZ+fj44dO2LdunXw9/dX3zN79mx4eHhg8ODBuHTpEh5++GEsXrwYWq1WbbNs2TK88MIL6tVo/fv3v+q9j6RQ5xCVyq2DiIjITSlCCCG7iNtBQUEBDAYDTCZTrc8n+uKDJDyRMxu/N+yOiDHf1Oq+iYiI3FlN/3677Bwid2LTegEANFaL5EqIiIjcEwORC7Bq9AAArbVEciVERETuiYHIBVi15YHIZpZcCRERkXtiIHIB6pCZjUNmREREMjAQuYLyGzNqeKdqIiIiKRiIXIHWEwCg4Y0ZiYiIpGAgcgXl9yFiDxEREZEcDESuQKsDAGgEb8xIREQkAwORK1ADkVVyIURERO6JgcgFKGog4pAZERGRDAxErqBiDhEDERERkRQMRK6g/CozD5uFT7wnIiKSgIHIBZR4BcEsdNDCCpgyZZdDRETkdhiIXIBWq0MhvO0LliK5xRAREbkhBiIXoNUoKIF92Axll+QWQ0RE5IYYiFyAh0aBWdivNEMpn3hPRER0qzEQuQCtVsMeIiIiIokYiFyAR+UhM/YQERER3XIMRC7AQ6OgRFT0EDEQERER3WoMRC7AQ1u5h4hDZkRERLcaA5EL0Go0KEH5pGr2EBEREd1yDEQuQKdhDxEREZFMDEQuQKtRYOYcIiIiImkYiFwA5xARERHJxUDkAjw0le9DxB4iIiKiW42ByAX46j0uX3bPHiIiIqJbjoHIBdT30aEIXvYFc4HcYoiIiNwQA5ELCPDW4ayoDwAQBWckV0NEROR+GIhcgK+nB87DHwBgK86XXA0REZH7YSByAV46DS7Cx75QYpJbDBERkRtiIHIBiqKgTBdg/93MQERERHSrMRC5iDJP+5CZprQYsJZJroaIiMi9MBC5COEZcHmBV5oRERHdUgxELsLLywvFQm9fKLkgtRYiIiJ3w0DkInw8tShQJ1azh4iIiOhWYiByEb56DxSI8kB0iZfeExER3UoMRC7CV++BbBFoXyg4LbcYIiIiN8NA5CLC6nnhHAz2heLzcoshIiJyMwxELiLM4I1LFZOqS4vlFkNERORmGIhchI+nFsUoD0SWIrnFEBERuRkGIhfh4+mB4oon3lsuyi2GiIjIzbh0IEpKSoKiKA4vo9GobhdCICkpCWFhYfD29kb37t1x8OBBh32YzWaMGzcOQUFB8PX1Rf/+/XHq1KlbfSjX5aPXqk+8B594T0REdEu5dCACgFatWiErK0t97d+/X902Y8YMzJo1C3PnzsXOnTthNBrRu3dvFBYWqm0SExOxcuVKLF++HFu2bMHFixcRFxcHq9Uq43CuytfTA6dFkH3hQqbcYoiIiNyMh+wCrsfDw8OhV6iCEAJz5szB66+/jkGDBgEAlixZgpCQEHz++ed49tlnYTKZ8PHHH+Ozzz5Dr169AABLly5FeHg4fvjhB/Tp0+eWHsu1+HhqcVo0sC/wsnsiIqJbyuV7iI4ePYqwsDBERkbiL3/5C44fPw4AyMjIQHZ2NmJjY9W2er0e3bp1w9atWwEAu3fvRmlpqUObsLAwREVFqW2uxmw2o6CgwOFVl3w8tTgnyi+7L7kAlFnq9POIiIjoMpcORB07dsSnn36KtWvXYuHChcjOzkbnzp2Rl5eH7OxsAEBISIjDe0JCQtRt2dnZ8PT0RP369a/a5mqmTZsGg8GgvsLDw2vxyKry1XvABF+UifJ/kuK8Ov08IiIiusylA1G/fv3w+OOPIzo6Gr169cJ3330HwD40VkFRFIf3CCGqrLtSTdpMmjQJJpNJfWVm1u28Hh9PLQQ0OI/yp94X5dbp5xEREdFlLh2IruTr64vo6GgcPXpUnVd0ZU9PTk6O2mtkNBphsViQn59/1TZXo9frERAQ4PCqSz6e9ulceYKBiIiI6Fa7rQKR2WxGeno6QkNDERkZCaPRiPXr16vbLRYLUlJS0LlzZwBA+/btodPpHNpkZWXhwIEDahtXodUoMHjrkCf87St46T0REdEt49KBaOLEiUhJSUFGRga2b9+OP/3pTygoKMDw4cOhKAoSExMxdepUrFy5EgcOHEBCQgJ8fHwwdOhQAIDBYMDIkSMxYcIE/Pjjj9i7dy+efPJJdQjO1TQL9sNh0di+cHqX3GKIiIjciEtfdn/q1Ck88cQTOHfuHBo2bIhOnTohNTUVERERAICXX34Zly5dwvPPP4/8/Hx07NgR69atg7+/v7qP2bNnw8PDA4MHD8alS5fw8MMPY/HixdBqtbIO66oaB/rgQGakfSHvmNxiiIiI3IgihBCyi7gdFBQUwGAwwGQy1dl8oqTVB5G+bQ1W6N8EAv8AvLCnTj6HiIjIXdT077dLD5m5G4O3Dtkov0VAYRbArEpERHRLMBC5EIO3DtkiEDZogNJieygiIiKiOsdA5EIM3jqY4YkzHuU3gcxJl1sQERGRm2AgciEGbx0A4Iym/B5J+SfkFUNERORGGIhciMHHHohO2MofZnv2oMRqiIiI3AcDkQup7+MJANhceq99xW/rr9GaiIiIagsDkQtpVN8bigJsMJcHogsngSI+5JWIiKiuMRC5EC+dFmEGbxTDCyW+d9lXnvtVblFERERugIHIxXSMDAQAnPEsv2M1H+FBRERU5xiIXEzrRgYAwE/WVvYVv/0osRoiIiL3wEDkYnq1tF9y/5/c8oe8Zu+TWA0REZF7YCByMY3q+yDU4IVjIgwCClCcBxRmyy6LiIjojsZA5ILubuiLEuhx3lA+bHZwpdyCiIiI7nAMRC7oDw39AAC76ve1r9i3QmI1REREdz4GIhdUEYjWWjvaV5zZC1zMkVgRERHRnY2ByAVVBKKNpwER2sa+cvdieQURERHd4RiIXFD0XQZ4emiQX1yK3xv/yb5y49tA6SW5hREREd2hGIhckMFHh97ll99/UhQDaPX2Db8sl1gVERHRnYuByEU91joUAPDNwXxYO79gX5nyDmApklgVERHRnYmByEX1ahGC+j46mC6VYl39IYA+ACjMAtI+l10aERHRHYeByEV5aDV44gH73aq/3HcB6PC0fcOmaUBJgbzCiIiI7kAMRC5sULtGAIBNv+Yip/14oH6k/c7Vm6ZJroyIiOjOwkDkwpoG+6Ft43qw2gSmfH8MiH3LviF1HnDiZ7nFERER3UEYiFzcxNjmAIA1B7KRonkAiPoTAAF8OQIoPi+3OCIiojsEA5GL6/yHBnigSSAA4KUv96Gk77tAvQjgYjbw2UCgzCK3QCIiojsAA5GLUxQFHyd0QEN/PXIKzZiSnAnEzQKgAFm/AF8+DVhLZZdJRER0W2Mgug34e+nw1sAoAMCKXZn4tqglMPQ/gNYTOPw/4OtR7CkiIiK6CQxEt4k+rYx4KiYCADDxv79gh64DMPgzQKMDDq4Elj3OOUVEREQ3iIHoNjI5riW6N28Ic5kNTy/agVTd/cATXwA6XyBjMzD/IeDXdbLLJCIiuu0wEN1GdFoN5j/ZHjF3N0CRxYqhC1PxWd49sI1YB9RvAhScAj7/M7BsMHA+Q3a5REREtw0GotuMl06Lj4Z3wEPNgmATwORVBzDkmwJk/WUd0GkMoPEAjq4FPugErJsMFGbLLpmIiMjlKUIIIbuI20FBQQEMBgNMJhMCAgJklwOrTeCTLRmY88OvKLJYEeDlgWe63o2n7y2D7/pXgIwUe0ONB9D8EeCBUUCThwBFkVs4ERHRLVTTv98MRDXkaoGowolzRRj3xV7sP20CADT012Po/eF4quERNNgzF8jcfrmxfxjQaTTQcoB9iI2IiOgOx0BUy1w1EAGApcyG/+07g3fXHsEZUwkAe0fQg02DMKJpER4yrYbH/v8ApUWX31SvMdByINAsFgjvCHh4yimeiIioDjEQ1TJXDkQVSkqtWHswG59vP4ntGZcvwff38kDvZgY86ZOK+86vgeb0LsBWdvmNOl8gsivwhx5ARBegYXNAq5NwBERERLWLgaiW3Q6BqLLf84rw1e5T+GrPaZy+cEldr/fQoNNdnhhc7zDuL0lFUO42aIpzHd+s8QCMrYGw+4CGLewBKbgF4NuQc5CIiOi2wkBUy263QFTBZhPYeeI8tvx2Dl9fEY4AQKPY0LfBOTzifRBtrPsRWrAfHmVF1e/MO9AejBo2twel4HuBhvcyKBERkctiIKplt2sgqkwIgWO5Rdh2PA+7TpzHnpP5yDzvGJAU2HCXcg4P6Y+jg08WmmvOoFHZ7zCUnIaCq3xVvAOBwLuBeuGAoeJ1FxAQBgTcBfgEARre4YGIiG49BqJadicEourkFJbgl0wTDmcVID27AIezC5FxrghXfiu8YMYflCw0U04hSncGLXVn8AecQsOyLGiuFpQqaHSAb5A9GPlWvBoCPg3sP69c1vuzx4mIiGoFA1Etu1MDUXVKSq04nluEY7kXceJcEX4/X4yTecX4/XwRzhaYHdpWBKVGSg7uUvJwl3IOdynnEKrkIUyTjwa4cP3AdAWh9YRSEZB8GgDe9QAvA+BV/vPKZb3/5ZfOl71RRESkqunfb49bWBPdJrx0WrQMC0DLsKpfnEsWK05fKEaWqQRZF0pwxnQJ2aamyDKVYPtFM85dNCPvogVlNnsI8kAZGsKEBooJDZRCNIAJgUohgpQCBKIADZTyFwoQqBTAVzFDsVqAgtP2l5MEFAhPPwhPP8DTF4rez/4qX7a//ACdD+DpYw9QOm/7ss4b0HlV+r38p4d3+bI3oNHe9PklIiLX41aB6IMPPsA///lPZGVloVWrVpgzZw4eeugh2WXdVrw9tWga7I+mwf5XbWOzCZwvtiDvogV5F804X2xBfnEp8ossyC+2IK+4FCdKSlFQUobCkjIUXCpFYUkpLprL4CnMaFAelAKVAgSiEAFKMQwosv9UihCAIvWnv3IJfrC/PBQbFAgolkLAUlgnx2/VeMKm9YJNq4dNq4fw8ILQ6iE89IDWC4pOD3h4QfHQQ9F5QeOhh+Khh8bTC1oPvX271hPQ6u23NvCoWK708vCsuk7rYb/6T6Ozv0+jrfS7B4MaEdFNcptAtGLFCiQmJuKDDz5Aly5dsGDBAvTr1w+HDh1C48aNZZd3R9FoFAT56RHkpwdw9eB0JSEEiixWFJaUVgpKZSgoXy4sKcOxEnt4KjZbUWQpQ7HFimKLFUUlpSizXILGchEepQXQlhXBR5jho5TAFyXwUUrghxL44hJ8FDO8YYYPzPBRzNDDAm+Y4a1Y4A2LfVkxw7t8vZdSqtaotVmgtVmA0msciAQCCqyKB4SiLf/pAZvG/lNotLApHhDqsgeERgdRHqqExh62REXg0ngAWntbexCrWGf/qWgvBzNFowU0HtBotIBGC0XrAaViWesBRaOFRqOFotVBo9HYt3nYA5xWU75dqwUUDaBU/FTsPzUVy5pK26+17Wrvrfy7wvlpRFQtt5lD1LFjR7Rr1w7z5s1T17Vo0QIDBw7EtGnTrvt+d5pDdCcQQsBitaHEYkNJmRUlpVZcKrWipNSGSxYrSsqsMF+xzmK1oaTUCnOZDeZSGyxWK8ylNpSWlcFqKYFSdgkoLYZSVgKNtQSashIoNgs0Vgs0VjO0NvvLozw0aYUFnqIMesUCT5RBj1J4ohQ6pQyesL905S9PdV1plXU6lMED1ssvxSb79N7WrNDYh1ahgQ0aCEWx/4QCm6KBqLxdufJ3e3v7T8fliu2AApuihVAUoNJ2KAoElPKf5eGsYoadolHbV26Hin0qCnDlexWNug6KAqEuV16vqbpNqby/y3VUtFfU9pXXQQ2kAgoUTcX+7Osq3qOo7R1rVDSVA6kGCjTwCo6AV0DDW/7vT66tfsO74OXjV6v75ByiSiwWC3bv3o1XX33VYX1sbCy2bt1a7XvMZjPM5ssTiAsKCuq0RqpdiqJA76GF3kMLA+TdddtqEyi12mCx2lBaZkOZTcBSZkOp1YZSq+O2IqvABZsNljIbrDaBMptAmdVW/lPAaiv/vcwGm7UUtrJS+09rKURZKYStDMJaCmG1ALYyCGsZYLWvV2xlUKylEDYrNKIUsFmh2ErtL2GFYiuDxlYGBWXQ2KzQijIoogxaUQaNsEIDa/nvZdAK++9aWNVtGmErjxeXf9eW/+6hWMuXK7+s0KoxRJT/boNGqbwsUBFVKret2Fd5LLEvKzX/7zotKgKl1f6j8lvd4j8PiVzX/h6LEN1tkJTPdotAdO7cOVitVoSEhDisDwkJQXZ2drXvmTZtGv7+97/fivLoDqbVKNBqtPDSueccHyEEbAKwCQGrTUAIwCoEbELAZrNvs9rKl8vb2ARQWmmdQxtb9e8XNhsEBGw2K2CzQdisELBBsdlgs9kAmxVCWAEhIIR9GcJmX2ezlf9uU98LcXmdYrPatwmb/f22MgCifB8CiiiDsAkA9jaKzQrAZl8nbICw2u/hVV4jbDb7+8v3B2Fftn8GoMBqD2bCBiEEFGEr37f9d1HeRpS3UXB5H4oQ9veo7StCX8U6GxSgUvuK99u32z8L5T+Fum+lfN/qfnG5nVLeTt2X2rZin+XrcHk/BmFCA+s5aMDeTrqCIu9/K90iEFVQrpg7IISosq7CpEmTMH78eHW5oKAA4eHhdVof0Z1GURRoFUALBW6aCYnICdESP9stAlFQUBC0Wm2V3qCcnJwqvUYV9Ho99Hr9rSiPiIiIJHOLO9h5enqiffv2WL9+vcP69evXo3PnzpKqIiIiIlfhFj1EADB+/HjEx8ejQ4cOiImJwYcffoiTJ09i9OjRsksjIiIiydwmEA0ZMgR5eXn4xz/+gaysLERFReH7779HRESE7NKIiIhIMre5D9HN4n2IiIiIbj81/fvtFnOIiIiIiK6FgYiIiIjcHgMRERERuT0GIiIiInJ7DERERETk9hiIiIiIyO0xEBEREZHbYyAiIiIit8dARERERG7PbR7dcbMqbuhdUFAguRIiIiKqqYq/29d7MAcDUQ0VFhYCAMLDwyVXQkRERM4qLCyEwWC46nY+y6yGbDYbzpw5A39/fyiKUmv7LSgoQHh4ODIzM/mMtBvEc3jzeA5vDs/fzeM5vDk8f1cnhEBhYSHCwsKg0Vx9phB7iGpIo9GgUaNGdbb/gIAAfolvEs/hzeM5vDk8fzeP5/Dm8PxV71o9QxU4qZqIiIjcHgMRERERuT0GIsn0ej2mTJkCvV4vu5TbFs/hzeM5vDk8fzeP5/Dm8PzdPE6qJiIiIrfHHiIiIiJyewxERERE5PYYiIiIiMjtMRARERGR22MgkuyDDz5AZGQkvLy80L59e/z000+yS3IJSUlJUBTF4WU0GtXtQggkJSUhLCwM3t7e6N69Ow4ePOiwD7PZjHHjxiEoKAi+vr7o378/Tp06dasP5ZbYvHkzHnvsMYSFhUFRFKxatcphe22dr/z8fMTHx8NgMMBgMCA+Ph4XLlyo46O7Na53DhMSEqp8Jzt16uTQxp3P4bRp03D//ffD398fwcHBGDhwII4cOeLQht/Da6vJOeT3sO4wEEm0YsUKJCYm4vXXX8fevXvx0EMPoV+/fjh58qTs0lxCq1atkJWVpb7279+vbpsxYwZmzZqFuXPnYufOnTAajejdu7f6zDkASExMxMqVK7F8+XJs2bIFFy9eRFxcHKxWq4zDqVNFRUVo06YN5s6dW+322jpfQ4cORVpaGpKTk5GcnIy0tDTEx8fX+fHdCtc7hwDQt29fh+/k999/77Ddnc9hSkoKxowZg9TUVKxfvx5lZWWIjY1FUVGR2obfw2uryTkE+D2sM4KkeeCBB8To0aMd1t17773i1VdflVSR65gyZYpo06ZNtdtsNpswGo1i+vTp6rqSkhJhMBjE/PnzhRBCXLhwQeh0OrF8+XK1zenTp4VGoxHJycl1WrtsAMTKlSvV5do6X4cOHRIARGpqqtpm27ZtAoA4fPhwHR/VrXXlORRCiOHDh4sBAwZc9T08h45ycnIEAJGSkiKE4PfwRlx5DoXg97AusYdIEovFgt27dyM2NtZhfWxsLLZu3SqpKtdy9OhRhIWFITIyEn/5y19w/PhxAEBGRgays7Mdzp1er0e3bt3Uc7d7926UlpY6tAkLC0NUVJTbnd/aOl/btm2DwWBAx44d1TadOnWCwWBwm3O6adMmBAcH45577sGoUaOQk5OjbuM5dGQymQAAgYGBAPg9vBFXnsMK/B7WDQYiSc6dOwer1YqQkBCH9SEhIcjOzpZUlevo2LEjPv30U6xduxYLFy5EdnY2OnfujLy8PPX8XOvcZWdnw9PTE/Xr179qG3dRW+crOzsbwcHBVfYfHBzsFue0X79+WLZsGTZs2ICZM2di586d6NmzJ8xmMwCew8qEEBg/fjwefPBBREVFAeD30FnVnUOA38O6xKfdS6YoisOyEKLKOnfUr18/9ffo6GjExMTgD3/4A5YsWaJOILyRc+fO57c2zld17d3lnA4ZMkT9PSoqCh06dEBERAS+++47DBo06Krvc8dzOHbsWOzbtw9btmypso3fw5q52jnk97DusIdIkqCgIGi12ippPCcnp8p/QRHg6+uL6OhoHD16VL3a7Frnzmg0wmKxID8//6pt3EVtnS+j0YizZ89W2X9ubq7bnVMACA0NRUREBI4ePQqA57DCuHHjsHr1amzcuBGNGjVS1/N7WHNXO4fV4few9jAQSeLp6Yn27dtj/fr1DuvXr1+Pzp07S6rKdZnNZqSnpyM0NBSRkZEwGo0O585isSAlJUU9d+3bt4dOp3Nok5WVhQMHDrjd+a2t8xUTEwOTyYQdO3aobbZv3w6TyeR25xQA8vLykJmZidDQUAA8h0IIjB07Fl9//TU2bNiAyMhIh+38Hl7f9c5hdfg9rEW3fBo3qZYvXy50Op34+OOPxaFDh0RiYqLw9fUVJ06ckF2adBMmTBCbNm0Sx48fF6mpqSIuLk74+/ur52b69OnCYDCIr7/+Wuzfv1888cQTIjQ0VBQUFKj7GD16tGjUqJH44YcfxJ49e0TPnj1FmzZtRFlZmazDqjOFhYVi7969Yu/evQKAmDVrlti7d6/4/fffhRC1d7769u0rWrduLbZt2ya2bdsmoqOjRVxc3C0/3rpwrXNYWFgoJkyYILZu3SoyMjLExo0bRUxMjLjrrrt4Dss999xzwmAwiE2bNomsrCz1VVxcrLbh9/DarncO+T2sWwxEkv373/8WERERwtPTU7Rr187h8kp3NmTIEBEaGip0Op0ICwsTgwYNEgcPHlS322w2MWXKFGE0GoVerxddu3YV+/fvd9jHpUuXxNixY0VgYKDw9vYWcXFx4uTJk7f6UG6JjRs3CgBVXsOHDxdC1N75ysvLE8OGDRP+/v7C399fDBs2TOTn59+io6xb1zqHxcXFIjY2VjRs2FDodDrRuHFjMXz48Crnx53PYXXnDoBYtGiR2obfw2u73jnk97BuKUIIcev6o4iIiIhcD+cQERERkdtjICIiIiK3x0BEREREbo+BiIiIiNweAxERERG5PQYiIiIicnsMREREROT2GIiIiIjI7TEQEVEViqJg1apVt/xzu3fvjsTExFv+uTWxadMmKIqCCxcu1Onn1MY5OHHiBBRFQVpaWq3UROQOGIiI3ExOTg6effZZNG7cGHq9HkajEX369MG2bdvUNllZWejXr5/EKt3X119/jTfffFN2GURux0N2AUR0az3++OMoLS3FkiVLcPfdd+Ps2bP48ccfcf78ebWN0WiUWOGNE0LAarXCw+P2/Z+2wMBA2SUQuSX2EBG5kQsXLmDLli1455130KNHD0REROCBBx7ApEmT8Oijj6rtKg+ZVQy/fP311+jRowd8fHzQpk0bhx4lAFi4cCHCw8Ph4+ODP/7xj5g1axbq1aunbk9ISMDAgQMd3pOYmIju3btftd6lS5eiQ4cO8Pf3h9FoxNChQ5GTk6NurxjGWrt2LTp06AC9Xo+ffvqpyn5iYmLw6quvOqzLzc2FTqfDxo0ba/RZV0pKSsJ9993nsG7OnDlo0qSJw7pFixahRYsW8PLywr333osPPvjgqvsEqg6ZNWnSBFOnTsWIESPg7++Pxo0b48MPP3R4z44dO9C2bVt4eXmhQ4cO2Lt3b5X9Hjp0CI888gj8/PwQEhKC+Ph4nDt3DoD9PHp6ejqcu5kzZyIoKAhZWVnXrJfoTsFARORG/Pz84Ofnh1WrVsFsNjv13tdffx0TJ05EWloa7rnnHjzxxBMoKysDAPz8888YPXo0XnzxRaSlpaF37954++23b7pei8WCN998E7/88gtWrVqFjIwMJCQkVGn38ssvY9q0aUhPT0fr1q2rbB82bBi++OILVH6W9YoVKxASEoJu3bo59VnOWLhwIV5//XW8/fbbSE9Px9SpUzF58mQsWbLEqf3MnDlTDTrPP/88nnvuORw+fBgAUFRUhLi4ODRv3hy7d+9GUlISJk6c6PD+rKwsdOvWDffddx927dqF5ORknD17FoMHDwZwOYTFx8fDZDLhl19+weuvv46FCxciNDT0ps4B0W1DEJFb+fLLL0X9+vWFl5eX6Ny5s5g0aZL45ZdfHNoAECtXrhRCCJGRkSEAiI8++kjdfvDgQQFApKenCyGEGDJkiHj00Ucd9jFs2DBhMBjU5eHDh4sBAwY4tHnxxRdFt27d1OVu3bqJF1988aq179ixQwAQhYWFQgghNm7cKACIVatWXfOYc3JyhIeHh9i8ebO6LiYmRrz00ktOf1Z+fr4QQogpU6aINm3aOLxn9uzZIiIiQl0ODw8Xn3/+uUObN998U8TExFz1c688BxEREeLJJ59Ul202mwgODhbz5s0TQgixYMECERgYKIqKitQ28+bNEwDE3r17hRBCTJ48WcTGxjp8TmZmpgAgjhw5IoQQwmw2i7Zt24rBgweLVq1aib/+9a9XrZHoTsQeIiI38/jjj+PMmTNYvXo1+vTpg02bNqFdu3ZYvHjxNd9XueelotegYkjpyJEjeOCBBxzaX7l8I/bu3YsBAwYgIiIC/v7+6vDayZMnHdp16NDhmvtp2LAhevfujWXLlgEAMjIysG3bNgwbNszpz6qp3NxcZGZmYuTIkWrPnJ+fH9566y0cO3bMqX1VPveKosBoNKrnPj09HW3atIGPj4/aJiYmxuH9u3fvxsaNGx3quPfeewFArcXT0xNLly7FV199hUuXLmHOnDk3cthEty0GIiI35OXlhd69e+ONN97A1q1bkZCQgClTplzzPTqdTv1dURQAgM1mA2CfzFyxroKoNDwFABqNpsq60tLSq35eUVERYmNj4efnh6VLl2Lnzp1YuXIlAPvwVmW+vr7XrB2wD5t9+eWXKC0txeeff45WrVqhTZs2Tn9WTY+n4twsXLgQaWlp6uvAgQNITU29br2VVT73gP38Vz7312Oz2fDYY4851JGWloajR4+ia9euarutW7cCAM6fP+8wyZ7IHTAQERFatmyJoqKiG37/vffeix07djis27Vrl8Nyw4YNq0zQvdZ9cg4fPoxz585h+vTpeOihh3Dvvfdec5Lz9QwcOBAlJSVITk7G559/jieffPKmPqthw4bIzs52CCSVjyckJAR33XUXjh8/jqZNmzq8IiMjb/g4rtSyZUv88ssvuHTpkrruysDVrl07HDx4EE2aNKlSS0WYPHbsGP72t79h4cKF6NSpE5566ik1dBG5AwYiIjeSl5eHnj17YunSpdi3bx8yMjLw3//+FzNmzMCAAQNueL/jxo3D999/j1mzZuHo0aNYsGAB1qxZ49Br1LNnT+zatQuffvopjh49iilTpuDAgQNX3Wfjxo3h6emJ999/H8ePH8fq1atv6v48vr6+GDBgACZPnoz09HQMHTr0pj6re/fuyM3NxYwZM3Ds2DH8+9//xpo1axzaJCUlYdq0afjXv/6FX3/9Ffv378eiRYswa9asGz6OKw0dOhQajQYjR47EoUOH8P333+Pdd991aDNmzBicP38eTzzxBHbs2IHjx49j3bp1GDFiBKxWK6xWK+Lj4xEbG4unn34aixYtwoEDBzBz5sxaq5PI1TEQEbkRPz8/dOzYEbNnz0bXrl0RFRWFyZMnY9SoUZg7d+4N77dLly6YP38+Zs2ahTZt2iA5ORl/+9vf4OXlpbbp06cPJk+ejJdffhn3338/CgsL8dRTT111nw0bNsTixYvx3//+Fy1btsT06dOr/KF31rBhw/DLL7/goYceQuPGjW/qs1q0aIEPPvgA//73v9GmTRvs2LGjytVdf/3rX/HRRx9h8eLFiI6ORrdu3bB48eJa7SHy8/PDt99+i0OHDqFt27Z4/fXX8c477zi0CQsLw88//wyr1Yo+ffogKioKL774IgwGAzQaDd5++22cOHFCvZzfaDTio48+wv/93//xbtfkNhRRkwFoIiInjRo1CocPH672vkBERK7m9r2dKxG5lHfffRe9e/eGr68v1qxZgyVLllz3JoRERK6CPUREVCsGDx6MTZs2obCwEHfffTfGjRuH0aNHyy6LiKhGGIiIiIjI7XFSNREREbk9BiIiIiJyewxERERE5PYYiIiIiMjtMRARERGR22MgIiIiIrfHQERERERuj4GIiIiI3N7/A0R3hugw1QBsAAAAAElFTkSuQmCC",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "import matplotlib.pyplot as plt\n",
+    "\n",
+    "X_norm = (X_train - X_train.mean(dim=0, keepdim=True)) / X_train.std(dim=0, keepdim=True)\n",
+    "X_dft = dft(X_train)\n",
+    "X_norm_dft = (X_dft - X_dft.mean(dim=0, keepdim=True)) / X_dft.std(dim=0, keepdim=True)\n",
+    "\n",
+    "sns.lineplot(torch.svd(X_norm.flatten(start_dim=1))[1], label=\"Time domain\")\n",
+    "sns.lineplot(torch.svd(X_norm_dft.flatten(start_dim=1))[1], label=\"Frequency domain\")\n",
+    "plt.legend()\n",
+    "plt.xlabel(\"Singular value index\")\n",
+    "plt.ylabel(\"Singular value\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 38,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/home/jonathan/anaconda3/envs/fdiff/lib/python3.10/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
+      "  if pd.api.types.is_categorical_dtype(vector):\n",
+      "/home/jonathan/anaconda3/envs/fdiff/lib/python3.10/site-packages/seaborn/_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n",
+      "  with pd.option_context('mode.use_inf_as_na', True):\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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qap06dUolJSUKBoNOzbx581RXV6eKigpVVFSorq5OPp/PWR4MBjVz5ky1t7erurpa5eXlevXVV7V8+fKLszEAAOiPsUhzc7ORZKqqqowxxoRCIeP1es0jjzzi1HR2dhqPx2OeeeYZY4wxra2tJjEx0ZSXlzs1R48eNXFxcaaiosIYY8x7771nJJndu3c7NTU1NUaSef/9940xxmzZssXExcWZo0ePOjWvvPKKcbvdxu/399vezs5O4/f7namhocFIGrD+QoVCIdPR0WFmPvaGKXl8q5m1ttJ8/cnfmFAoNCK/BwCIPKvOUfv9fklSenq6JOnQoUNqampScXGxU+N2u3XTTTdp165dkqTa2lp1d3eH1eTk5CgvL8+pqampkcfjUUFBgVNTWFgoj8cTVpOXl6ecnBynZtq0aQoEAqqtre23vWvWrHEOpXs8Ho0dO3Y4NgMAAA5rgtoYo2XLlumGG25QXl6eJKmpqUmSlJWVFVablZXlLGtqalJSUpLS0tLOWpOZmdnnNzMzM8NqzvydtLQ0JSUlOTVnWrlypfx+vzM1NDQMdrWHxPCISwAYNRIi3YDTFi1apHfffVfV1dV9lrlc4QOmjDF95p3pzJr+6odS81lut1tut/us7RhOhkuxAGDUsaJHvXjxYr322mvasWOHrrjiCme+1+uVpD492ubmZqf36/V61dXVpZaWlrPWHDt2rM/vHj9+PKzmzN9paWlRd3d3n542AAAXS0SD2hijRYsWadOmTdq+fbtyc3PDlufm5srr9aqystKZ19XVpaqqKk2ZMkWSlJ+fr8TExLCaxsZG1dfXOzVFRUXy+/3au3evU7Nnzx75/f6wmvr6ejU2Njo1W7duldvtVn5+/vCvPAAA5yGih74feughvfzyy/rVr36l1NRUp0fr8XiUnJwsl8ulpUuX6uGHH9b48eM1fvx4Pfzww7r00ks1b948p/b+++/X8uXLddlllyk9PV0rVqzQ5MmTddttt0mSJk6cqOnTp6u0tFTr16+XJD3wwAMqKSnRhAkTJEnFxcWaNGmSfD6fHnvsMX388cdasWKFSktLNWbMmAhsHQAAIhzUTz/9tCRp6tSpYfNfeOEFLViwQJL0ne98Rx0dHVq4cKFaWlpUUFCgrVu3KjU11alft26dEhISdPfdd6ujo0O33nqrNmzYoPj4eKdm48aNWrJkiTM6fPbs2SorK3OWx8fH6/XXX9fChQt1/fXXKzk5WfPmzdPjjz8+QmsPAMC5uQyjk4ZNW1ubPB6P/H7/iPTCQ6GQAoGAvl72llxxcYqLc8ntvkT//e3rzzm4DgAQnawYTAYAAPpHUAMAYDGCOspwsxMAGF0I6ijTO6SAqAaA0YKgBgDAYgQ1AAAWI6gBALAYQR3FOF8NALGPoAYAwGIENQAAFiOoAQCwGEENAIDFCGoAACxGUAMAYDGCGgAAixHUAABYjKAGAMBiBDUAABYjqAEAsBhBDQCAxQhqAAAsRlADAGAxghoAAIsR1AAAWIygjmLGmEg3AQAwwgjqKGaMkchqAIhpBDUAABYjqAEAsBhBDQCAxQhqAAAsRlADAGAxgjpKcWkWAIwOBHWUM8YQ2gAQwwhqAAAsRlADAGAxghoAAIsR1AAAWIygBgDAYgR1lGGENwCMLgQ1AAAWI6gBALAYQQ0AgMUIagAALDakoP7CF76gEydO9Jnf2tqqL3zhCxfcKAAA0GtIQf3RRx8pGAz2mR8IBHT06NELbhQAAOiVMJji1157zXn9xhtvyOPxOO+DwaDefPNNXXXVVcPWOAAARrtBBfWcOXMkSS6XS/Pnzw9blpiYqKuuukpPPPHEsDUOZ2eMEVdVA0BsG1RQh0IhSVJubq727dunjIyMEWkUAADoNaigPu3QoUPD3Q4AANCPIQW1JL355pt688031dzc7PS0T/vpT396wQ0DAABDDOof/OAH+rd/+zdde+21ys7OlsvlGu52AQAADTGon3nmGW3YsEE+n2+42wMAAD5jSNdRd3V1acqUKcPdFgAAcIYhBfU//uM/6uWXXx7utuAcjDE85hIARpkhHfru7OzUs88+q23btukrX/mKEhMTw5avXbt2WBoHAMBoN6Sgfvfdd/VXf/VXkqT6+vqwZQwsAwBg+AwpqHfs2DHc7QAAAP3gMZdRhHPUADD6DKlHffPNN5/1EPf27duH3CAMDuENALFtSEF9+vz0ad3d3aqrq1N9fX2fh3Vg+BDKADD6DCmo161b1+/81atX69SpUxfUIAAA8GfDeo76m9/85qDu8/3WW29p1qxZysnJkcvl0i9/+cuw5QsWLJDL5QqbCgsLw2oCgYAWL16sjIwMpaSkaPbs2Tpy5EhYTUtLi3w+nzwejzwej3w+n1pbW8NqDh8+rFmzZiklJUUZGRlasmSJurq6BrX+I+l0b5oeNQCMLsMa1DU1NbrkkkvOu769vV3XXHONysrKBqyZPn26GhsbnWnLli1hy5cuXarNmzervLxc1dXVOnXqlEpKShQMBp2aefPmqa6uThUVFaqoqFBdXV3Y7U+DwaBmzpyp9vZ2VVdXq7y8XK+++qqWL18+iLUfeXPX/zbSTQAAXGRDOvR95513hr03xqixsVFvv/22vv/975/398yYMUMzZsw4a43b7ZbX6+13md/v1/PPP6+XXnpJt912myTp5z//ucaOHatt27Zp2rRpOnjwoCoqKrR7924VFBRIkp577jkVFRXpgw8+0IQJE7R161a99957amhoUE5OjiTpiSee0IIFC/Qf//EfGjNmzHmv00hyiWvUAWC0GVKP+vQh5NNTenq6pk6dqi1btmjVqlXD2sCdO3cqMzNTV199tUpLS9Xc3Owsq62tVXd3t4qLi515OTk5ysvL065duyT19vI9Ho8T0pJUWFgoj8cTVpOXl+eEtCRNmzZNgUBAtbW1A7YtEAiora0tbAIAYDgNqUf9wgsvDHc7+jVjxgx94xvf0Lhx43To0CF9//vf1y233KLa2lq53W41NTUpKSlJaWlpYZ/LyspSU1OTJKmpqUmZmZl9vjszMzOsJisrK2x5WlqakpKSnJr+rFmzRj/4wQ8udDUBABjQkIL6tNraWh08eFAul0uTJk3SX//1Xw9XuyRJc+fOdV7n5eXp2muv1bhx4/T666/3Ofz+WcaYsOu8+7vmeyg1Z1q5cqWWLVvmvG9ra9PYsWMHXiEAAAZpSEHd3Nyse+65Rzt37tTnPvc5GWPk9/t18803q7y8XJdffvlwt1OSlJ2drXHjxunDDz+UJHm9XnV1damlpSWsV93c3Ow8htPr9erYsWN9vuv48eNOL9rr9WrPnj1hy1taWtTd3d2np/1Zbrdbbrf7gtcLAICBDOkc9eLFi9XW1qYDBw7o448/VktLi+rr69XW1qYlS5YMdxsdJ06cUENDg7KzsyVJ+fn5SkxMVGVlpVPT2Nio+vp6J6iLiork9/u1d+9ep2bPnj3y+/1hNfX19WpsbHRqtm7dKrfbrfz8/BFbHwAAzmVIPeqKigpt27ZNEydOdOZNmjRJTz75ZNjArnM5deqUfv/73zvvDx06pLq6OqWnpys9PV2rV6/WXXfdpezsbH300Uf67ne/q4yMDH3ta1+T1Duo7f7779fy5ct12WWXKT09XStWrNDkyZOdUeATJ07U9OnTVVpaqvXr10uSHnjgAZWUlGjChAmSpOLiYk2aNEk+n0+PPfaYPv74Y61YsUKlpaXWjPiWuDMZAIxGQwrqUCjU5xnUkpSYmKhQKHTe3/P222/r5ptvdt6fPt87f/58Pf3009q/f79efPFFtba2Kjs7WzfffLN+8YtfKDU11fnMunXrlJCQoLvvvlsdHR269dZbtWHDBsXHxzs1Gzdu1JIlS5w/ImbPnh127XZ8fLxef/11LVy4UNdff72Sk5M1b948Pf744+e/US4CJ6iNxJVaADA6uMwQumh33HGHWltb9corrziXNB09elT33Xef0tLStHnz5mFvaDRoa2uTx+OR3+8f9p64MUZf+68d6u7ulgkZueLiZExIl1ySrP9ZeEPYHyYAgNgxpHPUZWVlOnnypK666ip98Ytf1Je+9CXl5ubq5MmT+vGPfzzcbcSnOOwNAKPPkA59jx07Vr/73e9UWVmp999/X8YYTZo0yTkvDAAAhsegetTbt2/XpEmTnDtw3X777Vq8eLGWLFmi6667Tl/+8pf1m9/8ZkQaiv4xwAwAYtuggvqHP/zhgCOhPR6PvvWtb2nt2rXD1jgAAEa7QQX1//7v/2r69OkDLi8uLj7rvbEBAMDgDCqojx071u9lWaclJCTo+PHjF9woAADQa1BB/fnPf1779+8fcPm7777r3DUMAABcuEEF9d/93d/pX//1X9XZ2dlnWUdHh1atWqWSkpJhaxwAAKPdoC7P+pd/+Rdt2rRJV199tRYtWqQJEybI5XLp4MGDevLJJxUMBvW9731vpNqKz3DuUAYAiGmDCuqsrCzt2rVL3/72t7Vy5UrnsiCXy6Vp06bpqaeeOuvTpgAAwOAM+oYn48aN05YtW9TS0qLf//73MsZo/PjxYY+ZxMgxxnCrbwAYRYZ0ZzJJSktL03XXXTecbQEAAGcY0r2+AQDAxUFQAwBgMYIaAACLEdQAAFiMoI4SPCELAEYnghoAAIsR1AAAWIygBgDAYgQ1AAAWI6gBALAYQR1FGPkNAKMPQQ0AgMUIagAALEZQAwBgMYIaAACLEdQAAFiMoAYAwGIENQAAFiOoo5wxhuurASCGEdRRwhgjkccAMOoQ1AAAWIygBgDAYgQ1AAAWI6gBALAYQQ0AgMUIagAALEZQAwBgMYI6ynHDEwCIbQQ1AAAWI6gBALAYQQ0AgMUIagAALEZQAwBgMYIaAACLEdQAAFiMoI5yXEcNALGNoAYAwGIENQAAFiOoAQCwGEEdJYwx4kw0AIw+BDUAABYjqAEAsBhBDQCAxQhqAAAsRlBHid6bmvQdTsYNTwAgthHUAABYjKAGAMBiBHWU49A3AMQ2ghoAAIsR1AAAWCyiQf3WW29p1qxZysnJkcvl0i9/+cuw5cYYrV69Wjk5OUpOTtbUqVN14MCBsJpAIKDFixcrIyNDKSkpmj17to4cORJW09LSIp/PJ4/HI4/HI5/Pp9bW1rCaw4cPa9asWUpJSVFGRoaWLFmirq6ukVjtIRno8DaHvgEgtkU0qNvb23XNNdeorKys3+WPPvqo1q5dq7KyMu3bt09er1e33367Tp486dQsXbpUmzdvVnl5uaqrq3Xq1CmVlJQoGAw6NfPmzVNdXZ0qKipUUVGhuro6+Xw+Z3kwGNTMmTPV3t6u6upqlZeX69VXX9Xy5ctHbuUBADgPLmNJd8zlcmnz5s2aM2eOpN6eYk5OjpYuXap/+qd/ktTbe87KytJ//ud/6lvf+pb8fr8uv/xyvfTSS5o7d64k6f/+7/80duxYbdmyRdOmTdPBgwc1adIk7d69WwUFBZKk3bt3q6ioSO+//74mTJigX//61yopKVFDQ4NycnIkSeXl5VqwYIGam5s1ZsyY81qHtrY2eTwe+f3+8/7M+erq6tJdZVUKBoMypnd7yRi54uL0Pwtv0KWXXjqsvwcAsIO156gPHTqkpqYmFRcXO/Pcbrduuukm7dq1S5JUW1ur7u7usJqcnBzl5eU5NTU1NfJ4PE5IS1JhYaE8Hk9YTV5enhPSkjRt2jQFAgHV1tYO2MZAIKC2trawCQCA4WRtUDc1NUmSsrKywuZnZWU5y5qampSUlKS0tLSz1mRmZvb5/szMzLCaM38nLS1NSUlJTk1/1qxZ45z39ng8Gjt27CDX8vwZY2RCpr+bkwEAYpi1QX2ay+UKe2+M6TPvTGfW9Fc/lJozrVy5Un6/35kaGhrO2i4AAAbL2qD2er2S1KdH29zc7PR+vV6vurq61NLSctaaY8eO9fn+48ePh9Wc+TstLS3q7u7u09P+LLfbrTFjxoRNAAAMJ2uDOjc3V16vV5WVlc68rq4uVVVVacqUKZKk/Px8JSYmhtU0Njaqvr7eqSkqKpLf79fevXudmj179sjv94fV1NfXq7Gx0anZunWr3G638vPzR3Q9AQA4m4RI/vipU6f0+9//3nl/6NAh1dXVKT09XVdeeaWWLl2qhx9+WOPHj9f48eP18MMP69JLL9W8efMkSR6PR/fff7+WL1+uyy67TOnp6VqxYoUmT56s2267TZI0ceJETZ8+XaWlpVq/fr0k6YEHHlBJSYkmTJggSSouLtakSZPk8/n02GOP6eOPP9aKFStUWlpKLxkAEFERDeq3335bN998s/N+2bJlkqT58+drw4YN+s53vqOOjg4tXLhQLS0tKigo0NatW5Wamup8Zt26dUpISNDdd9+tjo4O3XrrrdqwYYPi4+Odmo0bN2rJkiXO6PDZs2eHXbsdHx+v119/XQsXLtT111+v5ORkzZs3T48//vhIbwIAAM7KmuuoY8FIXkcdCAR014+rFAqFZMR11AAwWlh7jhoAABDUAABYjaAGAMBiBDUAABYjqAEAsBhBHSWMMdzmGwBGIYI6yhljnAkAEHsI6hiwYMPAj+IEAEQ3gjomnP1pYgCA6EVQAwBgMYIaAACLEdQAAFiMoI4SvaO6GdkNAKMNQQ0AgMUIagAALEZQAwBgMYIaAACLEdQxgFuIAkDsIqgBALAYQQ0AgMUIagAALEZQRwHOQQPA6EVQRwFjjOau/22kmwEAiACCOlpwB1EAGJUIagAALEZQAwBgMYIaAACLEdRRwBjD+WkAGKUI6ihhjCGrAWAUIqgBALAYQQ0AgMUIagAALEZQAwBgMYIaAACLEdRRgBHfADB6EdQAAFiMoI5y9LYBILYR1AAAWIygBgDAYgQ1AAAWI6gBALAYQQ0AgMUIagAALEZQAwBgMYI6ChhjJK6WBoBRiaCOAqFQiJwGgFGKoAYAwGIENQAAFiOoAQCwGEENAIDFCGoAACxGUEcBHmUJAKMXQR0DjDGfXmsNAIg1BDUAABYjqAEAsBhBDQCAxQjqKMC9vgFg9CKoowADxQBg9CKoAQCwGEEdA7g8CwBiF0ENAIDFCGoAACxmdVCvXr1aLpcrbPJ6vc5yY4xWr16tnJwcJScna+rUqTpw4EDYdwQCAS1evFgZGRlKSUnR7NmzdeTIkbCalpYW+Xw+eTweeTwe+Xw+tba2XoxVBADgrKwOakn68pe/rMbGRmfav3+/s+zRRx/V2rVrVVZWpn379snr9er222/XyZMnnZqlS5dq8+bNKi8vV3V1tU6dOqWSkhIFg0GnZt68eaqrq1NFRYUqKipUV1cnn893UdcTAID+JES6AeeSkJAQ1os+zRijH/7wh/re976nO++8U5L0s5/9TFlZWXr55Zf1rW99S36/X88//7xeeukl3XbbbZKkn//85xo7dqy2bdumadOm6eDBg6qoqNDu3btVUFAgSXruuedUVFSkDz74QBMmTBiwbYFAQIFAwHnf1tY2nKt+3hhMBgCxy/oe9YcffqicnBzl5ubqnnvu0R/+8AdJ0qFDh9TU1KTi4mKn1u1266abbtKuXbskSbW1teru7g6rycnJUV5enlNTU1Mjj8fjhLQkFRYWyuPxODUDWbNmjXO43OPxaOzYscO23gAASJYHdUFBgV588UW98cYbeu6559TU1KQpU6boxIkTampqkiRlZWWFfSYrK8tZ1tTUpKSkJKWlpZ21JjMzs89vZ2ZmOjUDWblypfx+vzM1NDQMeV0vBD1qAIhdVh/6njFjhvN68uTJKioq0he/+EX97Gc/U2FhoSTJ5XKFfcYY02femc6s6a/+fL7H7XbL7Xafcz1GGkENALHL6h71mVJSUjR58mR9+OGHznnrM3u9zc3NTi/b6/Wqq6tLLS0tZ605duxYn986fvx4n946AAAXW1QFdSAQ0MGDB5Wdna3c3Fx5vV5VVlY6y7u6ulRVVaUpU6ZIkvLz85WYmBhW09jYqPr6eqemqKhIfr9fe/fudWr27Nkjv9/v1AAAEClWH/pesWKFZs2apSuvvFLNzc3693//d7W1tWn+/PlyuVxaunSpHn74YY0fP17jx4/Xww8/rEsvvVTz5s2TJHk8Ht1///1avny5LrvsMqWnp2vFihWaPHmyMwp84sSJmj59ukpLS7V+/XpJ0gMPPKCSkpKzjvi+WJzD2kbS2Y/EAwBikNVBfeTIEd17773605/+pMsvv1yFhYXavXu3xo0bJ0n6zne+o46ODi1cuFAtLS0qKCjQ1q1blZqa6nzHunXrlJCQoLvvvlsdHR269dZbtWHDBsXHxzs1Gzdu1JIlS5zR4bNnz1ZZWdnFXdmzmLv+t2ddzjlqAIhdLsN/4YdNW1ubPB6P/H6/xowZMyzfaYzR7HXbFOwJSi6XZExv5/ozrxMSEvQ/C2/QJZdcMiy/CQCwR1Sdo0b/6FEDQOwiqKOA+bTnDAAYfQjqGGCMUSgUolcNADGIoI4Bpw99E9QAEHsI6hixYENtpJsAABgBBHWMMEb0qAEgBhHUAABYjKCOEZyjBoDYRFDHCIIaAGITQR0jCGoAiE0ENQAAFiOoAQCwGEEdI0KhEHcnA4AYRFDHiFAoJN9P90a6GQCAYUZQxxBuegIAsYegjhG9h70j3QoAwHAjqC1HDxkARjeC2nLGGJ3vw6hPDygDAMQOgjqGENQAEHsIasuFQiGZ8+xSc3cyAIg9BLXlBhO89KgBIPYQ1DGGXjUAxBaCGgAAixHUlhvsqO+enh4Fg8GRbRQA4KIhqGOIMUZ//8LbHPoGgBhCUFtuMKO+e+uNgsEgYQ0AMYKgjjE8RQsAYgtBbTFjTO/lVoPI3FAopL//6b6RaxQA4KIiqC03d/1vB/2Znp6genp6RqA1AICLjaC2nEuuQX+Gw98AEDsI6hhkjNE3n99DUANADCCoY1AoFFIoaLidKADEAII6Bhlj1N3To56eHnrVABDlCGqLXWjI+hj9DQBRj6C22GBuH9rfZ3lABwBEP4I6RvWep+axlwAQ7QjqGHX6PHV3dze9agCIYgR1DOv5NKjpVQNA9CKoY9w3n99LrxoAohhBHeN6eoIKBALcUhQAohRBPQr8/U/3cfgbAKIUQW0xYwbzJOqBdXf3qKOjg0PgABCFCOpRwvfTfZr7zG8VDAYJawCIIgT1KBEK9d785N7naiLdFADAIBDUo0QoFFJPT5CHdQBAlCGoR5FQKKSuroA6OzsVDAYj3RwAwHkgqC315/t0D9/5ZGOMgj1B3ftsjTo7OxlcBgBRgKC22Nz1vx2R7w0GQ5r7TLXufXaXQqEQD+8AAIsR1DYboewMhUIKhaTurt5bjI7UHwQAgAtHUI9i3d3d+sZTv1EoSI8aAGxFUFus97D0yP5GT09QnZ2dam9vV09PD4ENAJYhqC023IPJBtI7GrxL96z/rXPOGgBgh4RINwB28D2/V3LFye/3Kzk5WW63W3Fx/B0HAJFGUONTLhlj5PvpPsXFufTKA1OcsI6Li5PL5Yp0AwFgVCKoEcYYKdgT0jee+o0SEhL0cmmhkpKSlJiYKJfLRWADwEVGUGMArt7rrZ+uVlx8vBITE/Tf3/5bJSQkENYAcBFxEhLn0BvYgUC3vvHkW/rkk0/U1dXFgDMAuEjoUVvMtjDs6urW1598Sy6XSz+//28YdAYAFwFBjUFySXLpmz/Zo7j4eL30D9cpPj5ebreb89gAMAIIakvZ1pvuq/eQ+H0/2dM7As3l0iVutzaWFkqSEhMTw0aLE94AMDQEtYWM+fSZ0bZntaTeHnZvVncGunTXj3fKFRcnl0v6+f0F+n8vvqNfPHi94uPj//yJT3vdhDcAnBtBbTFjTJSE9We5FAoZuVwuzXu2RkYuzfnR9t4D5i6X4hPiFR/fe9mXy+VSfHx8WGjTAweAcIwCOsNTTz2l3NxcXXLJJcrPz9dvfvObiLTDGKOQMdGX02Fczj+NkYIho+7uoDo7OvW1/9qhO3+8U7PXVWrOj7brzh/vVGdnp+56sko9PT0KBoN9Jm5vCmA0okf9Gb/4xS+0dOlSPfXUU7r++uu1fv16zZgxQ++9956uvPLKi9qWi3Wf78jpDW8Zl3p6ggoGQ/p6WZWMXLrjh2/Kpd5tEBcfr/j4OMXFxUsu6ZXSIqcHfrY7pg10eP2zz97m8DuAaOAydFEcBQUF+upXv6qnn37amTdx4kTNmTNHa9as6VMfCAQUCASc936/X1deeaUaGho0ZsyYIbejp6dHnZ2dmv98Te+M0/+GXIN8PZTP2PD6XMs+PdLgcrn+/Dru09em93V8fJye/WZ+WKifnv5xwz654uK04f5CLi0DMGjD+Qd+amrqub/PwBhjTCAQMPHx8WbTpk1h85csWWJuvPHGfj+zatWq091eJiYmJiamQU9+v/+c+cSh70/96U9/UjAYVFZWVtj8rKwsNTU19fuZlStXatmyZc77UCikjz/+WJdddllEDqm2tbVp7NixF9yjjzVsl4GxbQbGtukf22VgQ9k2qamp56whqM/Q3znNgULX7XbL7XaHzfvc5z43Uk07b2PGjOH/QP1guwyMbTMwtk3/2C4DG+5twwm6T2VkZCg+Pr5P77m5ublPLxsAgIuFoP5UUlKS8vPzVVlZGTa/srJSU6ZMiVCrAACjHYe+P2PZsmXy+Xy69tprVVRUpGeffVaHDx/Wgw8+GOmmnRe3261Vq1b1ORw/2rFdBsa2GRjbpn9sl4GN1Lbh8qwzPPXUU3r00UfV2NiovLw8rVu3TjfeeGOkmwUAGKUIagAALMY5agAALEZQAwBgMYIaAACLEdQAAFiMoI4Rtjye0yarV68Oe4qWy+WS1+uNdLMi4q233tKsWbOUk5Mjl8ulX/7yl2HLjTFavXq1cnJylJycrKlTp+rAgQORaexFdK7tsmDBgj77UGFhYWQaexGtWbNG1113nVJTU5WZmak5c+bogw8+CKsZrfvM+Wyb4d5vCOoYcPrxnN/73vf0zjvv6G//9m81Y8YMHT58ONJNi7gvf/nLamxsdKb9+/dHukkR0d7ermuuuUZlZWX9Ln/00Ue1du1alZWVad++ffJ6vbr99tt18uTJi9zSi+tc20WSpk+fHrYPbdmy5SK2MDKqqqr00EMPaffu3aqsrFRPT4+Ki4vV3t7u1IzWfeZ8to00zPvNhT1zCjb4m7/5G/Pggw+GzfvLv/xL88///M8RapEdVq1aZa655ppIN8M6kszmzZud96FQyHi9XvPII4848zo7O43H4zHPPPNMBFoYGWduF2OMmT9/vrnjjjsi0h6bNDc3G0mmqqrKGMM+81lnbhtjhn+/oUcd5bq6ulRbW6vi4uKw+cXFxdq1a1eEWmWPDz/8UDk5OcrNzdU999yjP/zhD5FuknUOHTqkpqamsH3I7XbrpptuYh+StHPnTmVmZurqq69WaWmpmpubI92ki87v90uS0tPTJbHPfNaZ2+a04dxvCOooN5THc44WBQUFevHFF/XGG2/oueeeU1NTk6ZMmaITJ05EumlWOb2fsA/1NWPGDG3cuFHbt2/XE088oX379umWW25RIBCIdNMuGmOMli1bphtuuEF5eXmS2GdO62/bSMO/33Cv7xgxmMdzjhYzZsxwXk+ePFlFRUX64he/qJ/97GdhzxFHL/ahvubOneu8zsvL07XXXqtx48bp9ddf15133hnBll08ixYt0rvvvqvq6uo+y0b7PjPQthnu/YYedZTj8ZznLyUlRZMnT9aHH34Y6aZY5fRIePahc8vOzta4ceNGzT60ePFivfbaa9qxY4euuOIKZz77zMDbpj8Xut8Q1FGOx3Oev0AgoIMHDyo7OzvSTbFKbm6uvF5v2D7U1dWlqqoq9qEznDhxQg0NDTG/DxljtGjRIm3atEnbt29Xbm5u2PLRvM+ca9v054L3m2EbloaIKS8vN4mJieb555837733nlm6dKlJSUkxH330UaSbFlHLly83O3fuNH/4wx/M7t27TUlJiUlNTR2V2+XkyZPmnXfeMe+8846RZNauXWveeecd88c//tEYY8wjjzxiPB6P2bRpk9m/f7+59957TXZ2tmlra4twy0fW2bbLyZMnzfLly82uXbvMoUOHzI4dO0xRUZH5/Oc/H/Pb5dvf/rbxeDxm586dprGx0Zk++eQTp2a07jPn2jYjsd8Q1DHiySefNOPGjTNJSUnmq1/9atilAqPV3LlzTXZ2tklMTDQ5OTnmzjvvNAcOHIh0syJix44dRlKfaf78+caY3sttVq1aZbxer3G73ebGG280+/fvj2yjL4KzbZdPPvnEFBcXm8svv9wkJiaaK6+80syfP98cPnw40s0ecf1tE0nmhRdecGpG6z5zrm0zEvsNj7kEAMBinKMGAMBiBDUAABYjqAEAsBhBDQCAxQhqAAAsRlADAGAxghoAAIsR1AAAWIygBgDAYgQ1AAAWI6gBALDY/wf5GNmuIrVcyAAAAABJRU5ErkJggg==",
+      "text/plain": [
+       "<Figure size 500x500 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/home/jonathan/anaconda3/envs/fdiff/lib/python3.10/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
+      "  if pd.api.types.is_categorical_dtype(vector):\n",
+      "/home/jonathan/anaconda3/envs/fdiff/lib/python3.10/site-packages/seaborn/_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n",
+      "  with pd.option_context('mode.use_inf_as_na', True):\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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gYgQ1AAAuRlADAOBiBDUAICXC4TA7Z3UBghoAABcjqAEAcDGCGgAAFyOoAQBwMYIaAOA4y7I+H4xmOV2K6xDUAADHxZuimrZ8m0zTPGXbnhbqBDUAwBU8Xl+b2pmmqeseWdumUM8EBDUAIO14ctoW6pmAoAYApJ1YNKJwOOx0Gd2CoAYApI3j70/3lPvUBDUAIG2YpqnA4nWKNZptHnyW7ghqAEBaSQw6a+vgs3RHUAMAOi1xKVrdfCW6J1wCJ6gBAJ1mmqamLt2geLx7d8/qCVO1CGoAQEp4vDmden17e8eJ9pk+VYugBgC4QrwpqslLXz9p7/j4Pa/jTVFV/HaTrG7uxXc3ghoA4BrtHSDWEwaUEdQAgE47vqebaj1hwNjJENQAAFczTVPXPrxGwWAwKaxjjRHFY3FZlqWGhgY1NDRkZJgT1AAA1zMM44T3r+NNUQUWv6rrHlmTkaO/CWoAgOvFGiMysrwnfN7j9WXs/WqCGgCQFpxaVMVpBDUAIC3Em6K65ZktLRZVSdyrzlQENQAgbXR2UZV0RFADAOBiBDUAAC5GUAMAXCPWGDk2YOw4XbmYSjogqAEAcDGCGgCQETJ1qVGCGgDQKW6Z39wYPqLA4xsybnUyghoA0CmmaWrq0g0t5jc7IRNXJyOoAQCd5pb5za0NRkt3BDUAAC5GUAMAXKOzA8IycUAZQQ0A6DB7IFmKxJuimrZ8W4cHhHX29W5EUAMAOsw0TQUWr0vpgiSdHRCWaQPKCGoAQKdkWjC6DUENAHAtt8zRdhJBDQBwLTfN0XYKQQ0AcDW3zNF2CkENAHCljo4oz7QpWgQ1AMCVOjqiPN4U1eSlr2fMFC2CGgDgWh0dUZ5JI9EJagCAqzRFTdXW1mbMpevOIqgBAK6SiauLdQZBDQDosGODtlI/dSqTLl13lqNB/frrr2vixIkqKSmRYRj6wx/+kPT8lClTZBhG0mPkyJFJbSKRiGbOnKmCggL16dNHkyZN0t69e5PaBINBBQIB+f1++f1+BQIBHT58OKnN7t27NXHiRPXp00cFBQWaNWuWotFoV5w2AABt5mhQ19fX69xzz9WiRYtO2GbcuHGqrq62H6tXr056fvbs2Vq5cqVWrFihTZs26ejRo5owYYJisZjdpry8XFVVVaqsrFRlZaWqqqoUCATs52OxmK688krV19dr06ZNWrFihV566SXNmTMn9ScNAEA7ZDv54ePHj9f48eNP2sbn86m4uLjV50KhkJ566ik9++yzuvzyyyVJzz33nAYOHKhXX31VY8eO1fvvv6/Kykpt3bpVI0aMkCQ9+eSTGjVqlD788EMNGTJEa9as0Xvvvac9e/aopKREkvTAAw9oypQpuvvuu9WvX79WPz8SiSgSidjf19XVtftnAADAybj+HvWGDRtUWFior371q6qoqNCBAwfs53bs2KHGxkaVlZXZx0pKSlRaWqrNmzdLkrZs2SK/32+HtCSNHDlSfr8/qU1paakd0pI0duxYRSIR7dix44S1LViwwL6c7vf7NXDgwJSdNwC4Hetwdw9XB/X48eP1/PPPa/369XrggQe0fft2XXrppXYvtqamRjk5OcrLy0t6XVFRkWpqauw2hYWFLd67sLAwqU1RUVHS83l5ecrJybHbtGbevHkKhUL2Y8+ePZ06XwBIJ25ehzvWGEnpPtlOcvTS96lcd9119telpaU677zzNGjQIK1atUpXX331CV9nWZYMw7C/P/7rzrRpzufzyedjZCKAnqur1uHu6PKhmcjVPermBgwYoEGDBumjjz6SJBUXFysajSoYDCa1O3DggN1DLi4u1qefftrivQ4ePJjUpnnPORgMqrGxsUVPGwDQ9eJNUf3rkvWKNTU5XYrj0iqoDx06pD179mjAgAGSpOHDh8vr9Wrt2rV2m+rqau3cuVOjR4+WJI0aNUqhUEhvvvmm3Wbbtm0KhUJJbXbu3Knq6mq7zZo1a+Tz+TR8+PDuODUAQDM9fdesBEcvfR89elQff/yx/f2uXbtUVVWl/Px85efna/78+fre976nAQMG6JNPPtHPfvYzFRQU6Lvf/a4kye/3a+rUqZozZ4769++v/Px8zZ07V+ecc449Cnzo0KEaN26cKioqtGTJEknStGnTNGHCBA0ZMkSSVFZWpmHDhikQCOi+++5TbW2t5s6dq4qKihOO+AYAoDs4GtRvvfWWxowZY39/++23S5ImT56sxx9/XH/961/1zDPP6PDhwxowYIDGjBmjF198UX379rVfs3DhQmVnZ+vaa69VOBzWZZddpuXLl8vj8dhtnn/+ec2aNcseHT5p0qSkudsej0erVq3S9OnTdcEFFyg3N1fl5eW6//77u/pHAADASRkWq56nTF1dnfx+v0KhED1xABkvHA7r+w/8l2R4ZMUbFY/F5fH6ZMUbZWR523SsI69py7EsT5aennaR8vPznf4xdVpa3aMGALgDo7K7D0ENAGg30zQVWLyuSzbkQDKCGgDQbuFwWFnZXqfL6BEIagAAXIygBgDAxQhqAABcjKAGAMDFCGoAQMZJTB/LhKVCCGoAQMaJN0U1bfk2mabpdCmd1qGg/vKXv6xDhw61OH748GF9+ctf7nRRAAB0lsebGdsQdyioP/nkE8VisRbHI5GI9u3b1+miAADAMe3alOOPf/yj/fWf//xn+f1++/tYLKZ169bpzDPPTFlxAAD0dO0K6quuukqSZBiGJk+enPSc1+vVmWeeqQceeCBlxQEA0NO1K6jj8WNrug4ePFjbt29XQUFBlxQFAHAve0MOlw+ojjVGFA6HlZub63QpndKh/ah37dqV6joAAGnCNE1NXbpBnpz0DsB00aGglqR169Zp3bp1OnDggN3TTvjtb3/b6cIAAO7l8eY4XUKP0aGg/vd//3f98pe/1HnnnacBAwbIMIxU1wUAANTBoH7iiSe0fPlyBQKBVNcDAACO06F51NFoVKNHj051LQAAoJkOBfWNN96oF154IdW1AACAZjp06ds0TS1dulSvvvqqvvGNb8jr9SY9/+CDD6akOAAAeroOBfU777yjb37zm5KknTt3Jj3HwDIAyGzHdqWKyzA8TpfSI3QoqF977bVU1wEAAFrBNpcAALhYh3rUY8aMOekl7vXr13e4IAAA8IUOBXXi/nRCY2OjqqqqtHPnzhabdQAAgI7rUFAvXLiw1ePz58/X0aNHO1UQAAD4QkrvUf/whz9knW8AAFIopUG9ZcsW9erVK5VvCQBwkXTZ4jKTdOjS99VXX530vWVZqq6u1ltvvaX/+3//b0oKAwC4T2KLSxlZ8jCNult0KKj9fn/S91lZWRoyZIh++ctfqqysLCWFAQDcyePNUaypyekyeowOBfWyZctSXQcAACmVuExvWVZar5rZoaBO2LFjh95//30ZhqFhw4bpn/7pn1JVFwAAnRJvimra8m36f7ePV25urtPldFiHgvrAgQO6/vrrtWHDBn3pS1+SZVkKhUIaM2aMVqxYodNOOy3VdQIA0G4er8/pEjqtQ6O+Z86cqbq6Or377ruqra1VMBjUzp07VVdXp1mzZqW6RgAAeqwO9agrKyv16quvaujQofaxYcOG6bHHHmMwGQBkKHtqFrpVh3rU8Xi8xR7UkuT1ehWPxztdFADAfUzTVGDxOlkWv+e7U4eC+tJLL9Wtt96q/fv328f27dun2267TZdddlnKigMAuEsm3PNNNx0K6kWLFunIkSM688wzddZZZ+krX/mKBg8erCNHjujRRx9NdY0AAPRYHbpHPXDgQP33f/+31q5dqw8++ECWZWnYsGG6/PLLU10fAAA9Wrt61OvXr9ewYcNUV1cnSbriiis0c+ZMzZo1S+eff76+/vWv64033uiSQgEA6InaFdQPPfSQKioq1K9fvxbP+f1+3XTTTXrwwQdTVhwAAD1du4L6f/7nfzRu3LgTPl9WVqYdO3Z0uigAAHBMu4L6008/bXVaVkJ2drYOHjzY6aIAAMAx7Qrqf/zHf9Rf//rXEz7/zjvvaMCAAZ0uCgAAHNOuoP6Xf/kX/eIXv5Bpmi2eC4fDuuuuuzRhwoSUFQcAcI9jO1Gx2El3a9f0rJ///Od6+eWX9dWvflUzZszQkCFDZBiG3n//fT322GOKxWK68847u6pWAAB6nHYFdVFRkTZv3qwf//jHmjdvnizLkiQZhqGxY8dq8eLFKioq6pJCAQBor8T65L169UrbPanbveDJoEGDtHr1agWDQX388ceyLEtnn3228vLyuqI+AAA6LN4U1eSlr+v3t45N2z2pO7QymSTl5eXp/PPPT2UtAACXsnfOspyupP3SfX3yDq31DQDoWUzT1NSlG9gh0QEENQCgTTzeHKdL6JEIagAAXIygBgDAxQhqAABcjKAGAMDFCGoAAFyMoAYAwMUIagAAXIygBgDAxQhqAABcjKAGAMDFCGoAwEnZG3LAEQQ1AOCkTNNUYPE6WRYbcjiBoAYAtEk8RlA7gaAGAMDFCGoAAFyMoAYAwMUIagBARos1RtJ61DpBDQCAixHUAAC4GEENAICLEdQAALgYQQ0AOCGWD3Weo0H9+uuva+LEiSopKZFhGPrDH/6Q9LxlWZo/f75KSkqUm5urSy65RO+++25Sm0gkopkzZ6qgoEB9+vTRpEmTtHfv3qQ2wWBQgUBAfr9ffr9fgUBAhw8fTmqze/duTZw4UX369FFBQYFmzZqlaDTaFacNAGmD5UOd52hQ19fX69xzz9WiRYtaff7ee+/Vgw8+qEWLFmn79u0qLi7WFVdcoSNHjthtZs+erZUrV2rFihXatGmTjh49qgkTJigWi9ltysvLVVVVpcrKSlVWVqqqqkqBQMB+PhaL6corr1R9fb02bdqkFStW6KWXXtKcOXO67uQBIE14vD6nS+jRsp388PHjx2v8+PGtPmdZlh566CHdeeeduvrqqyVJTz/9tIqKivTCCy/opptuUigU0lNPPaVnn31Wl19+uSTpueee08CBA/Xqq69q7Nixev/991VZWamtW7dqxIgRkqQnn3xSo0aN0ocffqghQ4ZozZo1eu+997Rnzx6VlJRIkh544AFNmTJFd999t/r169cNPw0AAFpy7T3qXbt2qaamRmVlZfYxn8+niy++WJs3b5Yk7dixQ42NjUltSkpKVFpaarfZsmWL/H6/HdKSNHLkSPn9/qQ2paWldkhL0tixYxWJRLRjx44T1hiJRFRXV5f0AIBMEg6HueztMNcGdU1NjSSpqKgo6XhRUZH9XE1NjXJycpSXl3fSNoWFhS3ev7CwMKlN88/Jy8tTTk6O3aY1CxYssO97+/1+DRw4sJ1nCQDAybk2qBMMw0j63rKsFseaa96mtfYdadPcvHnzFAqF7MeePXtOWhcAAO3l2qAuLi6WpBY92gMHDti93+LiYkWjUQWDwZO2+fTTT1u8/8GDB5PaNP+cYDCoxsbGFj3t4/l8PvXr1y/pAQBAKrk2qAcPHqzi4mKtXbvWPhaNRrVx40aNHj1akjR8+HB5vd6kNtXV1dq5c6fdZtSoUQqFQnrzzTftNtu2bVMoFEpqs3PnTlVXV9tt1qxZI5/Pp+HDh3fpeQIAcDKOjvo+evSoPv74Y/v7Xbt2qaqqSvn5+TrjjDM0e/Zs3XPPPTr77LN19tln65577lHv3r1VXl4uSfL7/Zo6darmzJmj/v37Kz8/X3PnztU555xjjwIfOnSoxo0bp4qKCi1ZskSSNG3aNE2YMEFDhgyRJJWVlWnYsGEKBAK67777VFtbq7lz56qiooJeMgDAUY4G9VtvvaUxY8bY399+++2SpMmTJ2v58uW64447FA6HNX36dAWDQY0YMUJr1qxR37597dcsXLhQ2dnZuvbaaxUOh3XZZZdp+fLl8ng8dpvnn39es2bNskeHT5o0KWnutsfj0apVqzR9+nRdcMEFys3NVXl5ue6///6u/hEAAHBShmVZltNFZIq6ujr5/X6FQiF64gAyQm1trSYvfV2xxojisbg8Xp+seGPS10aWt8PHUvU+J3vvLE+Wnp52kfLz853+cXaIa+9RAwAAghoAAFdz9B41AMCdErtmNTQ0SNwgdRRBDQBowTRNXfPgKjVFTWX7+jhdTo9GUAMAWuXx+ljn2wW4Rw0AgIsR1AAAuBhBDQCAixHUAIAW2IfaPQhqAABcjKAGAGS0xJzwdF0xm6AGAGS0eFNU05Zvk2maTpfSIQQ1ACDjebw+p0voMIIaAAAXI6gBAEkS93RZ49sdCGoAQBLTNDV16QbF40zPcgOCGgDQgseb43QJ+BxBDQCAixHUAAC4GEENAEjC8qHuQlADAOBiBDUAAC5GUAMAbMyhdh+CGgBgYw61+xDUAABJX/SmmUPtLgQ1AEDSsd50YPE6Rny7DEENAJB0bFpWVrbX6TLQDEENAGAQmYsR1AAABpG5GEENAJDERhxuRVADQA9nX/aGKxHUANDDMdrb3QhqAIA8Xp/TJeAECGoA6OHYLcvdCGoAQMZL3Ie3rPSbf0ZQAwAyXrwpqslLX5dpmk6X0m4ENQCgR0jX+/AENQAALkZQA0APxtKh7kdQA0APxtKh7kdQA0APx9Kh7kZQAwDgYgQ1AAAuRlADAOBiBDUA9GAsH+p+BDUA9FBMzUoPBDUA9ECWZSkYDDI1Kw0Q1ADQAyX2oM7Kzna6FJwCQQ0APVS6rn3d0xDUAAC4GEENAICLEdQAALgYQQ0AgIsR1AAAuBhBDQA9jGVZqq2tlcX86bRAUANAD8Me1OmFoAaAHog9qNMHQQ0A6BFijZFja5unGYIaAHqQcDiclmHVk7HIKwD0EJZlqaGhgaBOMwQ1APQQpmnqhkcqJSNLWZ4sGYbH6ZLQBgQ1APQgHm+OZHhkxRudLgVtxD1qAOgBLMvikneaIqgBIMNZlqVgMKjA4nWyLOZOpxuCGgAyXDAY1A8fWyvLiiseI6jTDUENAD2Ax+tzugR0EEENAICLEdQAkMHsQWSW05WgowhqAMhgbMCR/ghqAMhwbMCR3ghqAMhQzJ3ODAQ1AGQo0zSZO50BCGoAyGBMy0p/BDUAAC5GUAMAeoTEPXvLSq+5aq4O6vnz58swjKRHcXGx/bxlWZo/f75KSkqUm5urSy65RO+++27Se0QiEc2cOVMFBQXq06ePJk2apL179ya1CQaDCgQC8vv98vv9CgQCOnz4cHecIgCgm8Sbopq2fJtM03S6lHZxdVBL0te//nVVV1fbj7/+9a/2c/fee68efPBBLVq0SNu3b1dxcbGuuOIKHTlyxG4ze/ZsrVy5UitWrNCmTZt09OhRTZgwQbFYzG5TXl6uqqoqVVZWqrKyUlVVVQoEAt16ngCArpeO9+xdvx91dnZ2Ui86wbIsPfTQQ7rzzjt19dVXS5KefvppFRUV6YUXXtBNN92kUCikp556Ss8++6wuv/xySdJzzz2ngQMH6tVXX9XYsWP1/vvvq7KyUlu3btWIESMkSU8++aRGjRqlDz/8UEOGDOm+kwUAoBnX96g/+ugjlZSUaPDgwbr++uv197//XZK0a9cu1dTUqKyszG7r8/l08cUXa/PmzZKkHTt2qLGxMalNSUmJSktL7TZbtmyR3++3Q1qSRo4cKb/fb7c5kUgkorq6uqQHALiBZVmqra2VxYpkac/VQT1ixAg988wz+vOf/6wnn3xSNTU1Gj16tA4dOqSamhpJUlFRUdJrioqK7OdqamqUk5OjvLy8k7YpLCxs8dmFhYV2mxNZsGCBfV/b7/dr4MCBHT5XAEgllg7NHK4O6vHjx+t73/uezjnnHF1++eVatWqVpGOXuBMMw0h6jWVZLY4117xNa+3b8j7z5s1TKBSyH3v27DnlOQFAd2Hp0Mzg6qBurk+fPjrnnHP00Ucf2fetm/d6Dxw4YPeyi4uLFY1GFQwGT9rm008/bfFZBw8ebNFbb87n86lfv35JDwAAUimtgjoSiej999/XgAEDNHjwYBUXF2vt2rX289FoVBs3btTo0aMlScOHD5fX601qU11drZ07d9ptRo0apVAopDfffNNus23bNoVCIbsNAABOcfWo77lz52rixIk644wzdODAAf3qV79SXV2dJk+eLMMwNHv2bN1zzz06++yzdfbZZ+uee+5R7969VV5eLkny+/2aOnWq5syZo/79+ys/P19z5861L6VL0tChQzVu3DhVVFRoyZIlkqRp06ZpwoQJjPgGkJbYjCOzuDqo9+7dqx/84Af67LPPdNppp2nkyJHaunWrBg0aJEm64447FA6HNX36dAWDQY0YMUJr1qxR37597fdYuHChsrOzde211yocDuuyyy7T8uXL5fF47DbPP/+8Zs2aZY8OnzRpkhYtWtS9JwsAKWBZ1rFFnD7fjMMwPKd+EVzNsNJtLTUXq6urk9/vVygU4n41AEeEw2F9/4H/kmXFFY/F5fH6ZMUbZWR5ZcUbU3bMbe/T1vfO9v2DXpx5qXJzc53+p2qztLpHDQA4tXRcfQsnRlADAOBiBDUAZIhwOMwgsgxEUANABjm2jSOrkWUSghoAABdz9fQsAMCpWZYl0zQVj8ePXfpmLk9GoUcNAGnONE1d+/AaVVdX65ant7ARR4YhqAEgAxiGoVue2SLDw4XSTENQA0CaSwwgY7eszMSfXgCQphL3pllgMrPRowaANJW4Nx0MBhlA1kaxxkjazTUnqAEgjSXuTTOALHMR1ACQRhJbWNpTsSTuTWc4ghoAXC4Rzol70tc+vEZ///vf9YOFqxRranK6PHQxghoAXM40TX3v/v/U/v371dDQIMliKlYPQlADgEsd35M2DEMVy7baA8e43N1zENQA4FKmaeq6R9bKNE1JDBzrqQhqAHChRG86y5uj2tpaWZ+HMz3pnoegBgAXMk1TgcXrFIua9KJ7OIIaAFwmHA4rHA7L4/VJohfd0zFkEABcKtYYkQyP02XAYfSoAQBwMYIaAFwmMZAMkLj0DQCukQjo2tpaTfvtXyRDMrj03eMR1ADgEqZp6poHV6kpairb10dWvNHpkuACBDUAuECiN+3x+mRZTMXqKs1Xe0sH3KMGABdIzJtuioYVjxHUXSXeFNW05dvs1d7SAUENAC6RmDeNrpVuP2eCGgBc4NjlWHrSaImgBgDAxQhqAABcjKAGAIcl1vYGWkNQA4DD7JXILKcrgRsR1ADgIMuyFAwGdcvTbGWJ1rHgCQA4INGLDofDmrp0gwwPv47ROv7LAIBuluhFlz/8J8nIUlZ2NoucdKPEH0m9evVKi9XJuPQNAN0ssQpZVnZ22i2+kQniTVFNXvp62qxORlADQDc6fk1vOCedfv4ENQB0I9M0Vf7wnxRranK6FKQJghoAulE4HFZWNsOD0HYENQAALkZQA0A3YWETdARBDQDdxDRNTV26gYVN0C4ENQB0gy9Ge+c4XQrSDCMaACAFLMuSaZpJi2gkwjmxwMm03/5Fcv/6GnAZghoAOsmyLO3fv183P7Ndv589Vr169bKXB73hkUrJyJIVb1K2r4+seKPT5SLNENQAoNZ7xK21SfSQE9tS5ubm2vees7y9dOjQIUnStN/+RbGmqIysY6uPWXHuNKJjCGoA0LGBXtc+vEZPT/u28vLyWg1r0zR1zYOrZFlxxRqPhbAVb5KRlX1sve6mqG78zRt279ljiDW80Wn8iQcAnzMM45RrQCeWnkz0lD3enKTlKBPH4G6xxoh9VcTtCGoA+FysMSIZ2fblbcANCGoAPd7x95zjTVHdsGiN9u/fnxTWlmWptrZWFnOg0c0IagA9XmLbScs6FsKGYehfl25MCmsWK4FTCGoAPdqJtp00DEMVy7aqtrZW9fX1OnTokLI8jL/NFMeP4Hc7/qsD4BqJX54NDQ2Sjk19MgzD/t+ukNh20pOT2+I5wzAUWPyqJNmjvD2eLikD3SzeFNW05dv0/24fr9zclv/2bkJQAxmmLfOB3Sixeldg8To1RU176lO2r0+X/TJt67KeRpZXHi9TrTJN86sobsWlbyDDJOYD79+/3+6ZpoPj7xMfP/UpKzunSy5RNjQ0aP/+/Sp/+E+KNTWl9L2BVCKogQxkGIYqfrvppPOB3ai1Hk68KaofLdmoYDDYqbC2LEsNDQ2qr69XfX29amtrVfHUJmVlc2ER7sZ/oUCGOdb7jCf1RN1+Cfz46VGtiTdFVf7In/XCrLHKz8/v0Puf6LI6a2/D7ehRAxkqMVjGbb3q5j3b+vp67du3Tz9YuOqkl6A9Xl+HRuoeH9LNL6ujZ0uXkd/0qIEMYvdMP/+9k+hVu2lgmWmauvrXK+0dpez1sk8x9SkRuP/nN3/Ri7OusAeXJY736tVLvXv3bvXz7FHdFoPB8IV4U1STl76u39861tUjv+lRA2mqtd5A80U5Er+ITtWr7q6eRWJ1ryxP8jrZbendxpuimvHcdhmeY0t8JuY219bW6oePvara2lo1NDS0WE2sLaO60XOlw8hvghpIQ4le5HWPrG0Rws1D6USjphOXoBsaGlRbW6trH/5zmy+TH//atoR7on1tbW2nVvfyeH1qDB/RDxe/purqapU/tFo3PLpGkqUbf/OGrn34z3Zgx+NxBYNBRnUj7XHpG0gziZAuf/hPyvL2Um1trUpKSk54aTsRbM/++BL16tXLPm6apn70+HrF4zHdd3Wpsjxtu0xuWZb2799/bMS0N0fP3HTxCbeFPL7exD3irOzsTs9HNgxDtzyzRYYnsddzozxen+JNUV3/4H/Jm/sPeuT6czXrhR0p+TxkrsQuWm6+9E1QA2nk+NBL7H9csWyrnv3xJcrNzbVHfBtG8vJZiRW2Yo1RxWNxebw59qhnw4jrtt/tUE7vvrph0Rr9Zuq37eA//pK4YRjq1auXDh8+rKlLN8iTk6t4U1SBxzeccEGSlgO5vCkbZe3x5rQawB5vjh3kjOpGJiCogTRxfE/6+IFRiRDOys7RQ9ecYw8kO16sMfL5vWDJyIp/3gv94s5X4nJ5Yn3r56aPUV5eXtLAr2xfLy350T9r2rLNSXOPLcvSoUOHlJ+f32KpTycHcnFfGpmCe9TASbT3XmyqPzscDisej6uhoUH79u3TDxetPeECHVbc0i3PbOn07k6GYSQtMJIY8BVvimrK4lelZr31eFO0xf3hxEAvNrIAOo//BwEn0PxecKKX2Z5pTolRzpKUn59vX05ufqw1pmnqukfWannFhfZCHae6lHuiy8HtFW+K6gcPV+qxwD+3eP/WP/dYkN/w6Bpl+3rpoWvO0awXdijWxEYWcLfmt3fciB410IrEgKlED9YwDP3wsbUKBoPteh/TNHXDI5UKPL7B3i5x3759Kn9otQKPbzjlsphZ3hx7xS4jq3v/rjYMQzOe227v0dxWiZ694fFy+Rmu59aFgY5HjxpoRWI+sicn1+7BdmRJznA4bAd9+cOrkxb3MAyj1cUWEn/hh8NhNTYc0dQnX1eWx5m/qRMjqtv/OgIa6cPtc6npUQMn0Dxs2vuXd/NVwk60uEfzNa5N09Q1D65S+cOrFWtqcv0vEQBdi6AGmkncQ7ZaGZTV2uIhra3qlbi/farFPY5/7fFfsxY10H0Sc6ndiqBGj9fa9ocnCtjE4iHBYNAejX1sVa9j+z/X19e3aYR2QmIedG1tbdL7tPZHAoCu4fbNObhHDVdoPvKy+Xzcrvos6YsVuiwrrljjsVHKJ1vNKjF9KTGnODEa+8an3tB9V5fqjpffVawp2ubFNhL3r+OxuHJ697UX6gDQPRK3tU60cI/TCGp0KcuyZJrmCZelPH7gVCIss7Jz9PS0i+zXJEI78V4+n8++T9zeQD9+ytWx+7859g5OXywIcurVs+JNUXuQV2I0tmEY9gpfnnb+jeHx5sjIittfA+hebh4LQlCjzVq7PJRYVtI0zVYvG5mmqSlPbtLT076tvLw8SUp6j2AwqGm//csX822Pm49rxZskw6OnKi6yV8ma8uQmPRE4T9OWbVY8Hkta7rIt9R+//KaMLHuFro7MPW5tRDQhC6SnxO83N20Jm0BQN7N48WLdd999qq6u1te//nU99NBD+va3v+10Wd3mZPdqgsGgpi55TYYn2+6FGlmGHi0/T7eueFtNUdOefnT8etJGVra9KYQk3fBIZVJvNtvXRx5DSWF5fIDe+Js37PfM6d1X/7pkvb1G9b8u3ainKi5qdfnKxPkkeuGHDx9mX2IArXLz3tQE9XFefPFFzZ49W4sXL9YFF1ygJUuWaPz48Xrvvfd0xhlnOF1ehzUP35P1go/v4TYP28T830SIJi4R/3jZX45d7vXmfH4sK2k96XgsnjSPuHlv9lS++LyWl4YNw9CNv3lDRpahJ//1QrvXnmCapgKL1+ne7w7THS+/e8rBXQB6rpOtW+8kw3LrMDcHjBgxQt/61rf0+OOP28eGDh2qq666SgsWLGjRPhKJKBKJ2N+HQiGdccYZ2rNnj/r169epWlI5VSAYDOrmpeuOhaQnS1nZXt37/XN127ObW+0BZ/t6yYrHPj/mlRWPycjydPhYd71PPGa12pvP8hhqNCPK6d3b8Rrd8N7U6K73oUZ31RiPWcryZOmx//PtFn/4J6Syx923b99T/0FgwbIsy4pEIpbH47FefvnlpOOzZs2yLrroolZfc9ddd1k6tpwFDx48ePDg0e5HKBQ6ZT5xHfBzn332mWKxmIqKipKOFxUVqaamptXXzJs3T7fffrv9fTweV21trfr37++aSybtUVdXp4EDB6bkioAbcD7ul2nnlGnnI2XeObntfPr27XvKNgR1M60NRjpR6Pp8Pvl8yUP6v/SlL3VVad2mX79+rvgPOFU4H/fLtHPKtPORMu+c0ul8WJnscwUFBfJ4PC16zwcOHGjRywYAoLsQ1J/LycnR8OHDtXbt2qTja9eu1ejRox2qCgDQ03Hp+zi33367AoGAzjvvPI0aNUpLly7V7t27dfPNNztdWrfw+Xy66667WlzOT1ecj/tl2jll2vlImXdO6Xg+TM9qZvHixbr33ntVXV2t0tJSLVy4UBdddJHTZQEAeiiCGgAAF+MeNQAALkZQAwDgYgQ1AAAuRlADAOBiBDVadeaZZ8owjKTHT3/6U6fL6rRIJKJvfvObMgxDVVVVTpfTKZMmTdIZZ5yhXr16acCAAQoEAtq/f7/TZXXIJ598oqlTp2rw4MHKzc3VWWedpbvuukvRaNTp0jrs7rvv1ujRo9W7d++0XbFw8eLFGjx4sHr16qXhw4frjTfecLqkDnv99dc1ceJEe//6P/zhD06X1GYENU7ol7/8paqrq+3Hz3/+c6dL6rQ77rhDJSUlTpeREmPGjNHvf/97ffjhh3rppZf0t7/9Td///vedLqtDPvjgA8XjcS1ZskTvvvuuFi5cqCeeeEI/+9nPnC6tw6LRqK655hr9+Mc/drqUDkls+3vnnXfq7bff1re//W2NHz9eu3fvdrq0Dqmvr9e5556rRYsWOV1K+3V21ylkpkGDBlkLFy50uoyUWr16tfW1r33Nevfddy1J1ttvv+10SSn1yiuvWIZhWNFo1OlSUuLee++1Bg8e7HQZnbZs2TLL7/c7XUa7/fM//7N18803Jx372te+Zv30pz91qKLUkWStXLnS6TLajB41TujXv/61+vfvr29+85u6++670/oy5KeffqqKigo9++yz6t27t9PlpFxtba2ef/55jR49Wl6v1+lyUiIUCik/P9/pMnqkaDSqHTt2qKysLOl4WVmZNm/e7FBVPRdBjVbdeuutWrFihV577TXNmDFDDz30kKZPn+50WR1iWZamTJmim2++Weedd57T5aTUT37yE/Xp00f9+/fX7t279corrzhdUkr87W9/06OPPtpjlu91m45s+4uuQ1D3IPPnz28xQKz546233pIk3Xbbbbr44ov1jW98QzfeeKOeeOIJPfXUUzp06JDDZ/GFtp7Po48+qrq6Os2bN8/pkk+pPf9GkvRv//Zvevvtt7VmzRp5PB796Ec/kuWixQbbez6StH//fo0bN07XXHONbrzxRocqb11HziedtWfbX3QdlhDtQT777DN99tlnJ21z5plnqlevXi2O79u3T6effrq2bt2qESNGdFWJ7dLW87n++uv1n//5n0m/YGKxmDwej2644QY9/fTTXV1qm3Xm32jv3r0aOHCgNm/erFGjRnVVie3S3vPZv3+/xowZoxEjRmj58uXKynJXX6Ij/z7Lly/X7Nmzdfjw4S6uLnWi0ah69+6t//iP/9B3v/td+/itt96qqqoqbdy40cHqOs8wDK1cuVJXXXWV06W0Cbtn9SAFBQUqKCjo0GvffvttSdKAAQNSWVKntPV8HnnkEf3qV7+yv9+/f7/Gjh2rF1980TV/dCR05t8o8Td3JBJJZUmd0p7z2bdvn8aMGaPhw4dr2bJlrgtpqXP/Punk+G1/jw/qtWvX6jvf+Y6DlfVMBDVa2LJli7Zu3aoxY8bI7/dr+/btuu222+x5u+mmec3/8A//IEk666yzdPrppztRUqe9+eabevPNN3XhhRcqLy9Pf//73/WLX/xCZ511lmt60+2xf/9+XXLJJTrjjDN0//336+DBg/ZzxcXFDlbWcbt371Ztba12796tWCxmz9v/yle+Yv836GaZtu3v0aNH9fHHH9vf79q1S1VVVcrPz3f/7zUnh5zDnXbs2GGNGDHC8vv9Vq9evawhQ4ZYd911l1VfX+90aSmxa9eutJ+e9c4771hjxoyx8vPzLZ/PZ5155pnWzTffbO3du9fp0jpk2bJllqRWH+lq8uTJrZ7Pa6+95nRpbfbYY49ZgwYNsnJycqxvfetb1saNG50uqcNee+21Vv89Jk+e7HRpp8Q9agAAXMx9N4EAAICNoAYAwMUIagAAXIygBgDAxQhqAABcjKAGAMDFCGoAAFyMoAYAwMUIagAAXIygBgDAxQhqAABc7P8Diu9XkDXE0NoAAAAASUVORK5CYII=",
+      "text/plain": [
+       "<Figure size 500x500 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/home/jonathan/anaconda3/envs/fdiff/lib/python3.10/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
+      "  if pd.api.types.is_categorical_dtype(vector):\n",
+      "/home/jonathan/anaconda3/envs/fdiff/lib/python3.10/site-packages/seaborn/_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n",
+      "  with pd.option_context('mode.use_inf_as_na', True):\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 500x500 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/home/jonathan/anaconda3/envs/fdiff/lib/python3.10/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
+      "  if pd.api.types.is_categorical_dtype(vector):\n",
+      "/home/jonathan/anaconda3/envs/fdiff/lib/python3.10/site-packages/seaborn/_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n",
+      "  with pd.option_context('mode.use_inf_as_na', True):\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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xcRozZoymT5+uadOm6ZlnngncwQIIOJa8RCSw+DhvFDD19fWy2+1yOp30xGEqLpdL//j0Nvks0YqyWnWu8ayirDHtnkvqdN+lvqc3Pjs2Pkn/MW88PWqENdNeowYAAAQ1EPa4nQkIbQQ1EObC6dYsIBIR1EAECIeJToBIRVADAGBiBDUAACZGUAMIWcxOhkhAUAMIWd4mj+554W3V1tYS1ghbBDWA0BYVpRlrdsjtdge7JUCvIKiBMBYp91BbbfHBbgLQawhqIIxxDzUQ+ghqIMxxDzUQ2ghqAABMjKAGAMDECGoAAEyMoAYAwMQIagAATIygBsKYy+Xi1iwgxBHUAELeucazETGxCyITQQ0g5LE4B8IZQQ0g5HmbPLpvw17m+0ZYIqgBhAWrjRnYEJ4IagAATIygBgDAxAhqIEx9ucQlA6yAUEZQA2HK7XarYO1bavY2B7spAC4BQQ2EoZbeNEtcAqGPoAbCkNvt1g+eK2dWMiAMENRAmKI3DYQHghoAABMjqAGEBaYRRbgiqAGEBW+TRzPW7GAaUYQdghpA2LDa4oPdBCDgCGoAAEyMoAYAwMQIagAATIygBsLMl3N8Rx5GfiMcEdRAmInkWckY+Y1wRFADYSiSZyWLio2jV42wEtSgfueddzRlyhSlp6fLYrFo27Ztxr6mpib96Ec/0ogRI5SYmKj09HT94Ac/0Geffeb3GR6PR3PnztXAgQOVmJioqVOn6tixY341dXV1cjgcstvtstvtcjgcOnXqlF/NkSNHNGXKFCUmJmrgwIGaN2+eGhsbe+vQAfQSetUIN0ENapfLpeuuu07FxcXt9rndbr3//vt67LHH9P777+s3v/mNPvroI02dOtWvrrCwUFu3blVJSYkqKirU0NCgvLw8eb1eoyY/P19VVVUqLS1VaWmpqqqq5HA4jP1er1eTJ0+Wy+VSRUWFSkpK9PLLL2vBggW9d/AAeg33UyOcRAfzh0+aNEmTJk3qcJ/dbld5ebnfttWrV+ub3/ymjhw5okGDBsnpdGrdunXauHGjxo8fL0natGmTMjIytH37dk2YMEEHDx5UaWmpdu/erezsbEnS2rVrlZOTo0OHDmno0KEqKyvThx9+qKNHjyo9PV2StHz5cs2YMUNPPvmk+vXr14vfAgAAnQupa9ROp1MWi0WXXXaZJKmyslJNTU3Kzc01atLT05WZmamdO3dKknbt2iW73W6EtCSNGjVKdrvdryYzM9MIaUmaMGGCPB6PKisr++DIAADoWFB71N1x9uxZPfroo8rPzzd6uNXV1YqNjVX//v39alNTU1VdXW3UpKSktPu8lJQUv5rU1FS//f3791dsbKxR0xGPxyOPx2O8rq+v79nBAQESybdmAeEqJHrUTU1Nuuuuu9Tc3KznnnvugvU+n08Wi8V43fr5pdS0VVRUZAxQs9vtysjIuGDbgN4UybdmtXau8Sx/sCBsmD6om5qaNH36dB0+fFjl5eV+14vT0tLU2Niouro6v/fU1NQYPeS0tDSdOHGi3efW1tb61bTtOdfV1ampqaldT7u1RYsWyel0Go+jR4/2+DiBQInkW7OAcGTqoG4J6f/93//V9u3bNWDAAL/9WVlZiomJ8Rt0dvz4ce3fv1+jR4+WJOXk5MjpdGrv3r1GzZ49e+R0Ov1q9u/fr+PHjxs1ZWVlstlsysrK6rR9NptN/fr183sAABBIQb1G3dDQoI8//th4ffjwYVVVVSk5OVnp6en67ne/q/fff1+//e1v5fV6jV5vcnKyYmNjZbfbNXPmTC1YsEADBgxQcnKyFi5cqBEjRhijwIcNG6aJEyeqoKBAa9askSTNmjVLeXl5Gjp0qCQpNzdXw4cPl8Ph0NNPP62TJ09q4cKFKigoIHyBENR6KtGuLl8BoSCoPer33ntPI0eO1MiRIyVJ8+fP18iRI/X444/r2LFjevXVV3Xs2DFdf/31uvzyy41Hy2htSVq5cqWmTZum6dOna8yYMUpISNBrr70mq9Vq1GzevFkjRoxQbm6ucnNzde2112rjxo3GfqvVqtdff11xcXEaM2aMpk+frmnTpumZZ57puy8DQMB4mzy6b8NeJj1BWLD4mGcvYOrr62W32+V0OumJIyhcLpfufLbUGEx2rvGsoqwxirJaL+p5b76nr9sTG5+k/5g3XomJiX39nwEIKFNfowbQPS6XK+JHfAPhhqAGAMDECGoAAEyMoAYQllqP/AZCGUENhIkvpw8lmCSWu0T4IKiBMOF2u1Ww9i01e5uD3RTTiIqNo1eNkEdQA2GgpTfN9KH+6FUjHBDUQBhgMY7OWW3xwW4CcEkIaiBM0JsGwhNBDQCAiRHUAACYGEENAICJEdQAAJgYQQ0AgIkR1AAAmBhBDQCAiRHUAMLaucazX8yBDoQmghpAWGMVLYQ6ghoIcV+umoWOeJs8um/DXub7RsgiqIEQxzzfF2a1Mb0qQhdBDYQB5vkGwhdBDQCAiRHUAACYGEENAICJEdQAAJgYQQ2EOJfLxYhvIIwR1ADCHpOeIJQR1ADCnrfJoxlrdjDpCUJSdLAbAKBnWnqJDQ0NknySLMFukqlZbfHBbgLQIwQ1EKLcbre++8wrajpzRtEJSYqyWoPdJAC9gKAGQlh0bBwDyYAwxzVqABGBAWUIVQQ1gIjAgDKEKoIaQMRgQBlCEUENAICJEdQAIsa5xrNyuVzBbgbQLQQ1AAAmRlADAGBiBDUAACYW1KB+5513NGXKFKWnp8tisWjbtm1++30+n5YsWaL09HTFx8dr7NixOnDggF+Nx+PR3LlzNXDgQCUmJmrq1Kk6duyYX01dXZ0cDofsdrvsdrscDodOnTrlV3PkyBFNmTJFiYmJGjhwoObNm6fGxsbeOGwAAC5aUIPa5XLpuuuuU3FxcYf7ly1bphUrVqi4uFj79u1TWlqabr31Vp0+fdqoKSws1NatW1VSUqKKigo1NDQoLy9PXq/XqMnPz1dVVZVKS0tVWlqqqqoqORwOY7/X69XkyZPlcrlUUVGhkpISvfzyy1qwYEHvHTwAABchqFOITpo0SZMmTepwn8/n06pVq7R48WLdcccdkqQNGzYoNTVVW7Zs0ezZs+V0OrVu3Tpt3LhR48ePlyRt2rRJGRkZ2r59uyZMmKCDBw+qtLRUu3fvVnZ2tiRp7dq1ysnJ0aFDhzR06FCVlZXpww8/1NGjR5Weni5JWr58uWbMmKEnn3xS/fr164NvAwCA9kx7jfrw4cOqrq5Wbm6usc1ms+nmm2/Wzp07JUmVlZVqamryq0lPT1dmZqZRs2vXLtntdiOkJWnUqFGy2+1+NZmZmUZIS9KECRPk8XhUWVnZq8cJ9ETLdJjoHqYRRSgybVBXV1dLklJTU/22p6amGvuqq6sVGxur/v37d1mTkpLS7vNTUlL8atr+nP79+ys2Ntao6YjH41F9fb3fA+gLbrdbP3iunAU5usnb5NF9G/YyjShCimmDuoXF4r/Grs/na7etrbY1HdX3pKatoqIiY4Ca3W5XRkZGl+0CAik6Ni7YTQhJVhvfG0KLaYM6LS1Nktr1aGtqaozeb1pamhobG1VXV9dlzYkTJ9p9fm1trV9N259TV1enpqamdj3t1hYtWiSn02k8jh492s2jBACga6YN6sGDBystLU3l5eXGtsbGRu3YsUOjR4+WJGVlZSkmJsav5vjx49q/f79Rk5OTI6fTqb179xo1e/bskdPp9KvZv3+/jh8/btSUlZXJZrMpKyur0zbabDb169fP7wH0BZfLxWlvIEIEddR3Q0ODPv74Y+P14cOHVVVVpeTkZA0aNEiFhYVaunSphgwZoiFDhmjp0qVKSEhQfn6+JMlut2vmzJlasGCBBgwYoOTkZC1cuFAjRowwRoEPGzZMEydOVEFBgdasWSNJmjVrlvLy8jR06FBJUm5uroYPHy6Hw6Gnn35aJ0+e1MKFC1VQUED4AgCCKqhB/d5772ncuHHG6/nz50uS7rnnHq1fv16PPPKIzpw5ozlz5qiurk7Z2dkqKytTUlKS8Z6VK1cqOjpa06dP15kzZ3TLLbdo/fr1slqtRs3mzZs1b948Y3T41KlT/e7dtlqtev311zVnzhyNGTNG8fHxys/P1zPPPNPbXwGAPtYy8jshIeGC410AM7D4uE8hYOrr62W32+V0OumJo1fV1NTonhffkXR+Ragoa4yirFa/513tC8Z7zNQea1SU/nP+bUpMTOzT/25AT5j2GjUA9BarLT7YTQAuGkENAICJ9Sior7rqKv3tb39rt/3UqVO66qqrLrlRADr35axkXLUCIkGPgvqTTz7xW/Sihcfj0aeffnrJjQLQObfbrYK1b6nZ2xzspgDoA90a9f3qq68az9944w3Z7Xbjtdfr1Ztvvqkrr7wyYI0D0LHo2Dj600CE6FZQT5s2TdL56Tbvuecev30xMTG68sortXz58oA1DgCASNetoG5uPn+qbfDgwdq3b58GDhzYK40C0DFWzQoM7qVGKOnRNerDhw8T0kAf8/l8qq2tZdWsAPA2eTRjzQ5W0UJI6PHMZG+++abefPNN1dTUGD3tFr/4xS8uuWEA/LUsbWmJtkmNZ4PdnJDHvdQIFT0K6p/97Gd64okndMMNN+jyyy/n1BHQR6Jj4+hNAxGmR0H9wgsvaP369XI4HIFuDwAAaKVH16gbGxuNJSIBAEDv6VFQ//CHP9SWLVsC3RYAANBGj059nz17Vi+++KK2b9+ua6+9VjExMX77V6xYEZDGAQAQ6XoU1B988IGuv/56SdL+/fv99jGwDACAwOlRUP/+978PdDsAAEAHWOYSCBEul4tbs4AI1KMe9bhx47o8xf3WW2/1uEEA2vNf2pLLS4FwrvGsXC6XEhMTg90UoEs9CuqW69MtmpqaVFVVpf3797dbrAPApWtZ2tJq+4qirNZgNwdAH+pRUK9cubLD7UuWLFFDQ8MlNQhAx1jaMrBazlL4fD4GwcLUAnqN+vvf/z7zfAMICd4mj+7bsJeFOWB6AQ3qXbt2KS4uLpAfCQC9xmrj3yuYX49Ofd9xxx1+r30+n44fP6733ntPjz32WEAaBgAAehjUdrvd73VUVJSGDh2qJ554Qrm5uQFpGAAA6GFQv/TSS4FuBwAA6ECPgrpFZWWlDh48KIvFouHDh2vkyJGBahcAAFAPg7qmpkZ33XWX3n77bV122WXy+XxyOp0aN26cSkpK9NWvfjXQ7QQAICL1aNT33LlzVV9frwMHDujkyZOqq6vT/v37VV9fr3nz5gW6jQAARKwe9ahLS0u1fft2DRs2zNg2fPhw/fu//zuDyYAA8vl8crvd8vmY6gSIVD3qUTc3N7dbg1qSYmJi1NzcfMmNAnCe2+3Wnc+WMikHEMF6FNT/8A//oAcffFCfffaZse3TTz/VQw89pFtuuSVgjQMgWWNsXyzIgUBrPY0oYFY9Curi4mKdPn1aV155pb7+9a/r7/7u7zR48GCdPn1aq1evDnQbgYjmbfJo9i8qWOKyF3ibPJqxZgdnLGBqPbpGnZGRoffff1/l5eX685//LJ/Pp+HDh2v8+PGBbh8ASVZbvM41ng12M8KS1RYf7CYAXepWj/qtt97S8OHDVV9fL0m69dZbNXfuXM2bN0833nijrrnmGr377ru90lAAACJRt4J61apVKigoUL9+/drts9vtmj17tlasWBGwxgEAEOm6FdR//OMfNXHixE735+bmqrKy8pIbBQAAzutWUJ84caLD27JaREdHq7a29pIbBQAAzutWUP+///f/9Kc//anT/R988IEuv/zyS24UAAA4r1tBfdttt+nxxx/X2bPtR5+eOXNGP/3pT5WXlxewxgEAEOm6FdQ/+clPdPLkSX3jG9/QsmXL9Morr+jVV1/VU089paFDh+rkyZNavHhxwBp37tw5/eQnP9HgwYMVHx+vq666Sk888YTf7Gc+n09LlixRenq64uPjNXbsWB04cMDvczwej+bOnauBAwcqMTFRU6dO1bFjx/xq6urq5HA4ZLfbZbfb5XA4dOrUqYAdC9BdLZNxoHcx6QnMrltBnZqaqp07dyozM1OLFi3S7bffrmnTpunHP/6xMjMz9T//8z9KTU0NWOOeeuopvfDCCyouLtbBgwe1bNkyPf30036TqixbtkwrVqxQcXGx9u3bp7S0NN166606ffq0UVNYWKitW7eqpKREFRUVamhoUF5enrxer1GTn5+vqqoqlZaWqrS0VFVVVXI4HAE7FqC73G63fvBcOROd9DImPYHZdXvCkyuuuEK/+93vVFdXp48//lg+n09DhgxR//79A964Xbt26Tvf+Y4mT54sSbryyiv1q1/9Su+9956k838Jr1q1SosXL9Ydd9whSdqwYYNSU1O1ZcsWzZ49W06nU+vWrdPGjRuNCVk2bdqkjIwMbd++XRMmTNDBgwdVWlqq3bt3Kzs7W5K0du1a5eTk6NChQxo6dGjAjw24GNGxcQR1H2DSE5hZj6YQlaT+/fvrxhtv1De/+c1eCWlJuummm/Tmm2/qo48+knT+9rCKigrddtttkqTDhw+rurrab8Uum82mm2++WTt37pQkVVZWqqmpya8mPT1dmZmZRs2uXbtkt9uNkJakUaNGyW63GzUAAARDj6YQ7Ss/+tGP5HQ6dfXVV8tqtcrr9erJJ5/UP/3TP0mSqqurJand6fbU1FT99a9/NWpiY2Pb/TGRmppqvL+6ulopKSntfn5KSopR0xGPxyOPx2O8bpmxDUBoablOnZCQIIvFEuzmAH563KPuC7/+9a+1adMmbdmyRe+//742bNigZ555Rhs2bPCra/uL5fP5LvjL1ramo/oLfU5RUZEx+MxutysjI+NiDguAyXCdGmZm6qB++OGH9eijj+quu+7SiBEj5HA49NBDD6moqEiSlJaWJknter01NTVGLzstLU2NjY2qq6vrsubEiRPtfn5tbW2Xg+MWLVokp9NpPI4ePdrzgwXacLlcXJ/uQ1ynhlmZOqjdbreiovybaLVajduzBg8erLS0NJWXlxv7GxsbtWPHDo0ePVqSlJWVpZiYGL+a48ePa//+/UZNTk6OnE6n9u7da9Ts2bNHTqfTqOmIzWZTv379/B4AAASSqa9RT5kyRU8++aQGDRqka665Rn/4wx+0YsUK/cu//Iuk86erCwsLtXTpUg0ZMkRDhgzR0qVLlZCQoPz8fEnnFwuZOXOmFixYoAEDBig5OVkLFy7UiBEjjFHgw4YN08SJE1VQUKA1a9ZIkmbNmqW8vDxGfAMAgsrUQb169Wo99thjmjNnjmpqapSenq7Zs2fr8ccfN2oeeeQRnTlzRnPmzFFdXZ2ys7NVVlampKQko2blypWKjo7W9OnTdebMGd1yyy1av369rFarUbN582bNmzfPGB0+depUFRcX993BAgDQAYuP6XgCpr6+Xna7XU6nk9PguCQ+n0+ffPKJ5mx+T9L5AY3nGs8qyhqjKKv1op6b7T1ma0/b90THxqnk/nFKTEzss//OwMUw9TVqIFK53W4VrH1Lzd7mCxcDCGsENWBS0bFxwW5CRDnXeJa51WFKBDUAACZGUAMAYGIENQAAJkZQAybDOtTBwbrUMCuCGjAZ1qEODm+TR/dt2Mt83zAdghowIUZ8B4fVxvcO8yGoAQAwMYIaAAATI6gBADAxghowEUZ8Bxcjv2FGBDVgIoz4Di5vk0cz1uxg5DdMhaAGTIYR38FltcUHuwmAH4IaAAATI6gBADAxghowEZfLxfVpAH4IagAATIygBoBWuEULZkNQA0Ar3KIFsyGoAaANbtGCmRDUAACYGEENAICJEdQAAJgYQQ2YxJcLcjDaGMCXCGrAJNxutwrWvqVmb3OwmwLARAhqwERYkMMczjWeZblRmAZBDZgA61AD6AxBDZgA61AD6AxBDQRZS2+a094AOkJQA0FGbxpAVwhqwAToTQPoDEENAICJEdQA0AZLXcJMCGoAaMPb5NF9G/ay1CVMgaAGgA5YbYwbgDkQ1AAAmBhBDQCAiRHUAACYmOmD+tNPP9X3v/99DRgwQAkJCbr++utVWVlp7Pf5fFqyZInS09MVHx+vsWPH6sCBA36f4fF4NHfuXA0cOFCJiYmaOnWqjh075ldTV1cnh8Mhu90uu90uh8OhU6dO9cUhAgDQKVMHdV1dncaMGaOYmBj993//tz788EMtX75cl112mVGzbNkyrVixQsXFxdq3b5/S0tJ066236vTp00ZNYWGhtm7dqpKSElVUVKihoUF5eXnyer1GTX5+vqqqqlRaWqrS0lJVVVXJ4XD05eECANBOdLAb0JWnnnpKGRkZeumll4xtV155pfHc5/Np1apVWrx4se644w5J0oYNG5SamqotW7Zo9uzZcjqdWrdunTZu3Kjx48dLkjZt2qSMjAxt375dEyZM0MGDB1VaWqrdu3crOztbkrR27Vrl5OTo0KFDGjp0aN8dNCKOy+Vi+lAAnTJ1j/rVV1/VDTfcoO9973tKSUnRyJEjtXbtWmP/4cOHVV1drdzcXGObzWbTzTffrJ07d0qSKisr1dTU5FeTnp6uzMxMo2bXrl2y2+1GSEvSqFGjZLfbjZqOeDwe1dfX+z0AhAcmPYFZmDqo/+///k/PP/+8hgwZojfeeEP33nuv5s2bp1/+8peSpOrqaklSamqq3/tSU1ONfdXV1YqNjVX//v27rElJSWn381NSUoyajhQVFRnXtO12uzIyMnp+sABMxdvk0T0vvK3a2lrCGkFl6qBubm7W3//932vp0qUaOXKkZs+erYKCAj3//PN+dRaLxe+1z+drt62ttjUd1V/ocxYtWiSn02k8jh49ejGHBRhaem0SQWBKUVGasWYHM5QhqEwd1JdffrmGDx/ut23YsGE6cuSIJCktLU2S2vV6a2pqjF52WlqaGhsbVVdX12XNiRMn2v382tradr311mw2m/r16+f3ALrD7XarYO1bavY2B7sp6ITVFh/sJiDCmTqox4wZo0OHDvlt++ijj3TFFVdIkgYPHqy0tDSVl5cb+xsbG7Vjxw6NHj1akpSVlaWYmBi/muPHj2v//v1GTU5OjpxOp/bu3WvU7NmzR06n06gBegtLXALoiqlHfT/00EMaPXq0li5dqunTp2vv3r168cUX9eKLL0o6f7q6sLBQS5cu1ZAhQzRkyBAtXbpUCQkJys/PlyTZ7XbNnDlTCxYs0IABA5ScnKyFCxdqxIgRxijwYcOGaeLEiSooKNCaNWskSbNmzVJeXh4jvgEAQWXqoL7xxhu1detWLVq0SE888YQGDx6sVatW6e677zZqHnnkEZ05c0Zz5sxRXV2dsrOzVVZWpqSkJKNm5cqVio6O1vTp03XmzBndcsstWr9+vaxWq1GzefNmzZs3zxgdPnXqVBUXF/fdwQIA0AGLj+GMAVNfXy+73S6n08n1anSpZRCZy+XSPc9vl88SrSirVecazyrKGtPuuaRO94XKe8zWnot9T3RsnEruH6fExMS++z8I0Iqpe9RAuHK73fruM6+o2dssn8WiKOuF3wMgMpl6MBkQzqJj4xhRHALONZ794hY6IDgIagAATIygBoAuMJUogo2gBoAueJs8um/DXmYnQ9AQ1EAQsGJWaLHamJQGwUNQAwBgYgQ1AAAmRlADwAUwoAzBRFADwAV4mzwsd4mgYWYyoA+19MwaGhp0fg3qrtdNh3kwOQ2ChaAG+lDL1KFNZ84oOiHJmGcaADpDUAN9LDo2jluzAFw0rlEDAGBiBDUAACZGUAMAYGIENdBHWkZ8A0B3ENRAH3G73frBc+UMJAPQLQQ10IeiY1ncAUD3ENQAAJgYQQ0AgIkR1ABwEViYA8FCUAPARWBhDgQLQQ30AW7NCg8szIFgIKiBPsCtWQB6iqAG+gi3ZoW+c41nOTOCPkdQAwBgYgQ10AdcLhenvQH0CEENAICJEdRAL/tyxDc9agDdR1ADvcztdqtg7Vtq9jYHuykAQhBBDfSilt40I77DA7OTIRgIaqAXcf90ePE2eXTfhr3MToY+RVADvYzedHix2vjvib5FUAMAYGIENQAAJkZQAwBgYgQ10EtYMQtAIBDUQC9hxDeAQAipoC4qKpLFYlFhYaGxzefzacmSJUpPT1d8fLzGjh2rAwcO+L3P4/Fo7ty5GjhwoBITEzV16lQdO3bMr6aurk4Oh0N2u112u10Oh0OnTp3qg6NCOGPEd/jhXmr0tZAJ6n379unFF1/Utdde67d92bJlWrFihYqLi7Vv3z6lpaXp1ltv1enTp42awsJCbd26VSUlJaqoqFBDQ4Py8vLk9XqNmvz8fFVVVam0tFSlpaWqqqqSw+Hos+MDEBq8TR7NWLODe6nRZ0IiqBsaGnT33Xdr7dq16t+/v7Hd5/Np1apVWrx4se644w5lZmZqw4YNcrvd2rJliyTJ6XRq3bp1Wr58ucaPH6+RI0dq06ZN+tOf/qTt27dLkg4ePKjS0lL9/Oc/V05OjnJycrR27Vr99re/1aFDh4JyzADMy2qLD3YTEEFCIqjvv/9+TZ48WePHj/fbfvjwYVVXVys3N9fYZrPZdPPNN2vnzp2SpMrKSjU1NfnVpKenKzMz06jZtWuX7Ha7srOzjZpRo0bJbrcbNR3xeDyqr6/3ewAAEEimD+qSkhK9//77KioqarevurpakpSamuq3PTU11dhXXV2t2NhYv554RzUpKSntPj8lJcWo6UhRUZFxTdtutysjI6N7BwcgJHGdGn3J1EF99OhRPfjgg9q0aZPi4joflGOxWPxe+3y+dtvaalvTUf2FPmfRokVyOp3G4+jRo13+TEQObs0Kb1ynRl8ydVBXVlaqpqZGWVlZio6OVnR0tHbs2KF/+7d/U3R0tNGTbtvrrampMfalpaWpsbFRdXV1XdacOHGi3c+vra1t11tvzWazqV+/fn4PQDp/a1b+qtfU1HQu2E1BL+E6NfqKqYP6lltu0Z/+9CdVVVUZjxtuuEF33323qqqqdNVVVyktLU3l5eXGexobG7Vjxw6NHj1akpSVlaWYmBi/muPHj2v//v1GTU5OjpxOp/bu3WvU7NmzR06n06gBuotbswAEQnSwG9CVpKQkZWZm+m1LTEzUgAEDjO2FhYVaunSphgwZoiFDhmjp0qVKSEhQfn6+JMlut2vmzJlasGCBBgwYoOTkZC1cuFAjRowwBqcNGzZMEydOVEFBgdasWSNJmjVrlvLy8jR06NA+PGIAoaLl8kZCQsIFL7UBl8LUQX0xHnnkEZ05c0Zz5sxRXV2dsrOzVVZWpqSkJKNm5cqVio6O1vTp03XmzBndcsstWr9+vaxWq1GzefNmzZs3zxgdPnXqVBUXF/f58SD0cX06MrRcp/7P+bcpMTEx2M1BGLP4GLYYMPX19bLb7XI6nVyvjlA+n0+1tbXG1KFR1hhFWa0613jWeC7J7/XFPA+H95itPYF4T3RsnEruH0dQo1eZ+ho1EGpa5ve2RNuC3RQAYYKgBgKMQWQAAomgBgDAxAhqAABMjKAGgB4613iWEf7odQQ1AAAmRlADAeRyueRt5o7HSMHiHOgLBDUA9JC3yaP7NuxlcQ70KoIaAC6B1cbteOhdBDUQIF9OHcppUACBQ1ADAeJ2u1Ww9i01e5uD3RQAYYSgBgKIWckiDwPK0NsIagC4BC2raDGgDL2FoAYCgKUtI5vVFh/sJiCMEdRAALSsmsU91AACjaAGAoTr0wB6A0ENAJeIAWXoTQQ1cIm4Pg0GlKE3EdTAJeL6NCQGlKH3ENTAJXK5XLJE24LdDAQZS16itxDUwCVg2lAAvY2gBi4B04YC6G0ENXCJuC0LQG8iqIEeYrQ3WuMWLfQWghroIUZ7ozVvk0f3rt+j2tpawhoBRVADl4DT3vATZeF+agQcQQ30AKe90Rnup0agEdRAD3DaG0BfIaiBHuK0N4C+QFADQAAx+huBRlADQACxQAcCLTrYDQBCTUNDg2pra4PdDJgYA8oQSPSogW5yu92a/YsKBpIB6BMENdAD9JjQFVbSQiAR1EA3sFoWgL5GUAPdwGpZuBiM/EYgEdRAN3H/NC7E2+TRfRv2MvIbAUFQAxeJaUPRHVYbf9AhMAhq4CIxbSiAYDB1UBcVFenGG29UUlKSUlJSNG3aNB06dMivxufzacmSJUpPT1d8fLzGjh2rAwcO+NV4PB7NnTtXAwcOVGJioqZOnapjx4751dTV1cnhcMhut8tut8vhcOjUqVO9fYgIEQ0NDaqpqeG0Ny4a16kRKKYO6h07duj+++/X7t27VV5ernPnzik3N9fv9OOyZcu0YsUKFRcXa9++fUpLS9Ott96q06dPGzWFhYXaunWrSkpKVFFRoYaGBuXl5cnr9Ro1+fn5qqqqUmlpqUpLS1VVVSWHw9Gnxwtz8vl8qq2t1exfvEtvGheNGcoQKKaemay0tNTv9UsvvaSUlBRVVlbq29/+tnw+n1atWqXFixfrjjvukCRt2LBBqamp2rJli2bPni2n06l169Zp48aNGj9+vCRp06ZNysjI0Pbt2zVhwgQdPHhQpaWl2r17t7KzsyVJa9euVU5Ojg4dOqShQ4f27YHDVFpGelttXwl2UxBiuN8egWDqHnVbTqdTkpScnCxJOnz4sKqrq5Wbm2vU2Gw23Xzzzdq5c6ckqbKyUk1NTX416enpyszMNGp27dolu91uhLQkjRo1Sna73ajpiMfjUX19vd8D4aXl9CWnvAEES8gEtc/n0/z583XTTTcpMzNTklRdXS1JSk1N9atNTU019lVXVys2Nlb9+/fvsiYlJaXdz0xJSTFqOlJUVGRc07bb7crIyOj5AcKUGECGS8F1agRCyAT1Aw88oA8++EC/+tWv2u2zWCx+r30+X7ttbbWt6aj+Qp+zaNEiOZ1O43H06NELHQZCEL1p9BTXqREIIRHUc+fO1auvvqrf//73+trXvmZsT0tLk6R2vd6amhqjl52WlqbGxkbV1dV1WXPixIl2P7e2trZdb701m82mfv36+T0QPrhvGoHAdWpcKlMHtc/n0wMPPKDf/OY3euuttzR48GC//YMHD1ZaWprKy8uNbY2NjdqxY4dGjx4tScrKylJMTIxfzfHjx7V//36jJicnR06nU3v37jVq9uzZI6fTadQg8nDaG4HAAh24VKYe9X3//fdry5YteuWVV5SUlGT0nO12u+Lj42WxWFRYWKilS5dqyJAhGjJkiJYuXaqEhATl5+cbtTNnztSCBQs0YMAAJScna+HChRoxYoQxCnzYsGGaOHGiCgoKtGbNGknSrFmzlJeXx4jvCOZyuWSJtgW7GQhxra9TX+iSHNARUwf1888/L0kaO3as3/aXXnpJM2bMkCQ98sgjOnPmjObMmaO6ujplZ2errKxMSUlJRv3KlSsVHR2t6dOn68yZM7rlllu0fv16Wa1Wo2bz5s2aN2+eMTp86tSpKi4u7t0DBBD2Wub9fvnhFCUmJga7OQhBpg7qixkpabFYtGTJEi1ZsqTTmri4OK1evVqrV6/utCY5OVmbNm3qSTMBoEvM+41LYepr1EBfazlN2dzczLrTCBhu08KlIKiBVtxut+58tlSff/45604jYLxNHt3zwtuqra0lrNFtBDXQhjXGxmxkCLyoKO6pRo8Q1EAb3iaPZv+igtuyEHBRsXGcAke3EdRAB5ikAr2BmcrQEwQ10IrL5aInjV7FH4HoLlPfngX0lZZRuQ0NDTo/0puJKQCYA0GNiOfz+VRbW6sfPFeupjNnFJ2QpKhWk+EAgdQypSiTn+BiEdSIaK1D2hJtU5SN097oXUwpiu7iGjUiWsvCG8zpjb7SMqUoA8pwsQhqRDzul0Zfi4q1cZsWLhpBjYjGKG8EAzOVoTsIakSslmuFzOeNoGCmMlwkghoRqWUQGfN5I5i4pxoXg6BGRGIQGcygyXNGNTU1nP5GlwhqRBSfz6eGhgY1NDQwiAxBxwhwXAzuo0ZE8Pl8crvd8vl8mrb015KiFZPAhBMIvqhYmxoaGuTz+ZSYmMi91WiHHjUigtvt1vRV/63a2lpFx8bJaqM3DXPwNnnkKC7T9JX/Tc8aHSKoETEsFgvLV8KUrLZ4lsBEpwhqRISW+6UZZQuzYglMdIagRtjjfmmECv6QREcIaoQ17pdGqDjXeFbNXm+wmwETIqgRttqujAWYXeuVtYAWBDXCEiGNUMQc4OgIQY2w0xLS+atek8/CVAEIMVFR+v7qN1RbWxvslsAk+FcMYaPltKHL5dI9z2+nJ42QxaAytEZQI2y43W5995lX1OxtPv8PXePZYDcJ6JHW16qZqQyc+kZY8Pl8qqmpkSU6lt4IQp63yaN71+9RTU2NMb0oIhdBjbDgdru5BQvhJcoiR3GZvrfidwwui3AENUJWy0pYp0+fZjUshCWrLZ7BZeAaNUJT65HdUrSirFHyWSyKsga7ZUDgtZ4HnGvWkYceNUKKz+fTiRMndPjwYeMeaastjuvSCGtcs45s9KgRElrfenX3s7+VsZ40I7sRKb64Zm2NsWn97JuVmJjI+tURgqBGSGh965Ul2qYoa0ywmwT0OastXucaz+ruZ0sVExevDfeO1Ve/+lXCOsxx6hum1jJgrGWwGKe4Aclqi5OiooxlMZkjPLzRo4YptZ1lrOnMGUUnJCnKymgxoEVUbJzxh+zMdRX69YMTlZiYGOxmIcAIaphG615BbW2t7n2pQpJFVlu8omz0FIC2PC6n7n62VFHWKMV+5TI1NDSoublZFouF69dhhKBGUHUWzt5GDz1o4CJYbXGKslr9QrtlwFlCQgKhHQYIagRF21Pbzd5mv3D28Y8K0G0toS1J+Stek8Uao5i4eP37929QQkKCvvKVrxDaIYigbuO5557T008/rePHj+uaa67RqlWr9K1vfSvYzQp5bQe7uN1uv2vPVhvhDARSlC3u/N0RUVEqWPOWEdqte9oJCQlyu92SRICbGEHdyq9//WsVFhbqueee05gxY7RmzRpNmjRJH374oQYNGhTs5oWMjkagtgRzS8/ZYo1RTEIi156BPtA6tFv3tJ/5x2v0UEmlrDFxRoC3xmlzcyCoW1mxYoVmzpypH/7wh5KkVatW6Y033tDzzz+voqKiILeub/l8PrndbsXHx+vMmTPGL3BXt4C4XC5J53+5WyYlibJG+QWzNVpfTPXJfdBAMLQO7Xm/3KXohCQpKkqO4jLjdzXKev7O3dbXui8W4R54BPUXGhsbVVlZqUcffdRve25urnbu3Nnhezwejzwej/Ha6XRKkurr6y+5PS2hFyxut1v3/vwtLf+nbD244R09e8+3lZiYqH9etU2yRMsSdf4X2dvoUVR0jCxRUX7PJRm/8Od/+c+p+ZzHeI//vq6f857weI/Z2sN7zj/3njvX5j3n/OqmF/1Hl7/nbffFJHxFP7/v1m6Fe6gJ5C1wSUlJF/yjhqD+wueffy6v16vU1FS/7ampqaquru7wPUVFRfrZz37WbntGRkavtDEYrvvXL/53RXDbASB0/N3yYLcgdDidTvXr16/LGoK6jbZ/2XS1Ws2iRYs0f/5843Vzc7NOnjypAQMGhPRpn/r6emVkZOjo0aMX/D9QpOG76RzfTef4bjoX6d9NUlLSBWsI6i8MHDhQVqu1Xe+5pqamXS+7hc1mk81m89t22WWX9VYT+1y/fv0i8hfnYvDddI7vpnN8N53ju+kcc31/ITY2VllZWSovL/fbXl5ertGjRwepVQCASEePupX58+fL4XDohhtuUE5Ojl588UUdOXJE9957b7CbBgCIUAR1K3feeaf+9re/6YknntDx48eVmZmp3/3ud7riiiuC3bQ+ZbPZ9NOf/rTdaX3w3XSF76ZzfDed47u5MIuPddEAADAtrlEDAGBiBDUAACZGUAMAYGIENQAAJkZQ46J4PB5df/31slgsqqqqCnZzgu6TTz7RzJkzNXjwYMXHx+vrX/+6fvrTn6qxsTHYTQuK5557ToMHD1ZcXJyysrL07rvvBrtJQVdUVKQbb7xRSUlJSklJ0bRp03To0KFgN8uUioqKZLFYVFhYGOymmBJBjYvyyCOPKD09PdjNMI0///nPam5u1po1a3TgwAGtXLlSL7zwgn784x8Hu2l9rmV52MWLF+sPf/iDvvWtb2nSpEk6cuRIsJsWVDt27ND999+v3bt3q7y8XOfOnVNubm7QF9wxm3379unFF1/UtddeG+ymmJcPuIDf/e53vquvvtp34MABnyTfH/7wh2A3yZSWLVvmGzx4cLCb0ee++c1v+u69916/bVdffbXv0UcfDVKLzKmmpsYnybdjx45gN8U0Tp8+7RsyZIivvLzcd/PNN/sefPDBYDfJlOhRo0snTpxQQUGBNm7cGNbL1gWC0+lUcnJysJvRp1qWh83NzfXb3tXysJGqZRncSPv/SFfuv/9+TZ48WePHjw92U0yNmcnQKZ/PpxkzZujee+/VDTfcoE8++STYTTKtv/zlL1q9erWWL4+s9f16sjxsJPL5fJo/f75uuukmZWZmBrs5plBSUqL3339f+/btC3ZTTI8edQRasmSJLBZLl4/33ntPq1evVn19vRYtWhTsJveZi/1uWvvss880ceJEfe9739MPf/jDILU8uLqzPGwkeuCBB/TBBx/oV7/6VbCbYgpHjx7Vgw8+qE2bNikuLi7YzTE9phCNQJ9//rk+//zzLmuuvPJK3XXXXXrttdf8/sH1er2yWq26++67tWHDht5uap+72O+m5R+Xzz77TOPGjVN2drbWr1+vqKjI+tu3sbFRCQkJ+s///E/dfvvtxvYHH3xQVVVV2rFjRxBbZw5z587Vtm3b9M4772jw4MHBbo4pbNu2TbfffrusVquxzev1ymKxKCoqSh6Px29fpCOo0akjR46ovr7eeP3ZZ59pwoQJ+q//+i9lZ2fra1/7WhBbF3yffvqpxo0bp6ysLG3atCli/2HJzs5WVlaWnnvuOWPb8OHD9Z3vfEdFRUVBbFlw+Xw+zZ07V1u3btXbb7+tIUOGBLtJpnH69Gn99a9/9dv2z//8z7r66qv1ox/9iMsDbXCNGp0aNGiQ3+uvfOUrkqSvf/3rER/Sn332mcaOHatBgwbpmWeeUW1trbEvLS0tiC3reywP27H7779fW7Zs0SuvvKKkpCTjmr3dbld8fHyQWxdcSUlJ7cI4MTFRAwYMIKQ7QFADPVBWVqaPP/5YH3/8cbs/WiLtJBXLw3bs+eeflySNHTvWb/tLL72kGTNm9H2DELI49Q0AgIlF1sgXAABCDEENAICJEdQAAJgYQQ0AgIkR1AAAmBhBDQCAiRHUAACYGEENAICJEdQAAJgYQQ0AgIkR1AAAmBhBDQCAif1/ki/x84VUXSoAAAAASUVORK5CYII=",
+      "text/plain": [
+       "<Figure size 500x500 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/home/jonathan/anaconda3/envs/fdiff/lib/python3.10/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
+      "  if pd.api.types.is_categorical_dtype(vector):\n",
+      "/home/jonathan/anaconda3/envs/fdiff/lib/python3.10/site-packages/seaborn/_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n",
+      "  with pd.option_context('mode.use_inf_as_na', True):\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 500x500 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/home/jonathan/anaconda3/envs/fdiff/lib/python3.10/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
+      "  if pd.api.types.is_categorical_dtype(vector):\n",
+      "/home/jonathan/anaconda3/envs/fdiff/lib/python3.10/site-packages/seaborn/_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n",
+      "  with pd.option_context('mode.use_inf_as_na', True):\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 500x500 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/home/jonathan/anaconda3/envs/fdiff/lib/python3.10/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
+      "  if pd.api.types.is_categorical_dtype(vector):\n",
+      "/home/jonathan/anaconda3/envs/fdiff/lib/python3.10/site-packages/seaborn/_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n",
+      "  with pd.option_context('mode.use_inf_as_na', True):\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 500x500 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/home/jonathan/anaconda3/envs/fdiff/lib/python3.10/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
+      "  if pd.api.types.is_categorical_dtype(vector):\n",
+      "/home/jonathan/anaconda3/envs/fdiff/lib/python3.10/site-packages/seaborn/_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n",
+      "  with pd.option_context('mode.use_inf_as_na', True):\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 500x500 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/home/jonathan/anaconda3/envs/fdiff/lib/python3.10/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
+      "  if pd.api.types.is_categorical_dtype(vector):\n",
+      "/home/jonathan/anaconda3/envs/fdiff/lib/python3.10/site-packages/seaborn/_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n",
+      "  with pd.option_context('mode.use_inf_as_na', True):\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 500x500 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/home/jonathan/anaconda3/envs/fdiff/lib/python3.10/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
+      "  if pd.api.types.is_categorical_dtype(vector):\n",
+      "/home/jonathan/anaconda3/envs/fdiff/lib/python3.10/site-packages/seaborn/_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n",
+      "  with pd.option_context('mode.use_inf_as_na', True):\n"
+     ]
+    },
+    {
+     "data": {
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",
+      "text/plain": [
+       "<Figure size 500x500 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/home/jonathan/anaconda3/envs/fdiff/lib/python3.10/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
+      "  if pd.api.types.is_categorical_dtype(vector):\n",
+      "/home/jonathan/anaconda3/envs/fdiff/lib/python3.10/site-packages/seaborn/_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n",
+      "  with pd.option_context('mode.use_inf_as_na', True):\n"
+     ]
+    },
+    {
+     "data": {
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0AHQJBDUSjtPl5ilaALoMghoJifnUALoKghoAABsjqBFXhmHQ8wWAS0BQI64CgYBKVm6RYUSsLgUAEhJBjbiLx8Cvlp46U7QAJDuCGgkp0hzStHV7mKIFIOkR1EhYTNEC0BUQ1AAA2BhBDQCAjRHUAADYGEGNhOb3+5mnDSCpEdQAANgYQQ0AgI0R1IirM4uSsCoZAHQUQY2ExgplAJIdQY2EFggENHn1DlYoA5C0CGokPFYoA5DMCGokLPMRmlz1BpDECGokrEhzSDN+uUuRCIPVACQvghoJzelKs7oEAIgrghpJobGxUfX19Yz+BpB0CGrETWfeQ2b0N4BkRVAjbgKBgKau3tZp95AZ/Q0gGRHUiKvOuIfM6G8AyYygRsJj9DeAZEZQIyk4XWkKNwV55CWApENQAwBgYwQ1AAA2RlADAGBjBDUAADZGUAMAYGMENQAANkZQAwBgYwQ1koZhGGpsbFRjYyMP5wCQNAhqJI1Ic0h3/+JNTXp8Mw/nAJA0CGokFafLzcM5ACQVghoAABsjqAEAsDGCGgAAGyOoAQCwsVSrCwBiLdwUVGNjoySpW7ducjgcFlcEAB1HjxpJKRAIaNLjFUzTApDwCGokLWca07QAJD6CGknHMAz5/X6rywCAmCCokXQizSHNXL9PRiRidSkAcMkIaiQlVicDkCwIagAAbMzSoN6xY4cmTJigvLw8ORwO/frXv446PmXKFDkcjqht2LBhUW2CwaBmzZqlrKws9ejRQxMnTtQnn3wS1cbr9aqkpEQej0cej0clJSU6ceJEVJtDhw5pwoQJ6tGjh7KysjR79myFQqF4nDYAABfN0qA+ffq0vvzlL2vFihXnbTNmzBjV1NSY22uvvRZ1fM6cOdq0aZPKyspUWVmpU6dOafz48QqHw2ab4uJiVVdXq7y8XOXl5aqurlZJSYl5PBwOa9y4cTp9+rQqKytVVlaml156SfPmzYv9SQMA0A6WLngyduxYjR079oJt3G63cnNz2zzm8/n0zDPP6Pnnn9fNN98sSVq/fr369u2r119/XaNHj9aBAwdUXl6u3bt3a+jQoZKkNWvWaPjw4frggw80cOBAbd68We+9954OHz6svLw8SdLSpUs1ZcoUPfTQQ+rZs2cMzxoAgItn+3vU27ZtU3Z2tr74xS+qtLRUdXV15rGqqio1NTWpqKjI3JeXl6eCggLt3LlTkrRr1y55PB4zpCVp2LBh8ng8UW0KCgrMkJak0aNHKxgMqqqq6ry1BYNBNTQ0RG04ww5TpFpqMAzD0joA4FLYOqjHjh2rDRs2aOvWrVq6dKn27dunr3/96woGg5Kk2tpapaWlqVevXlE/l5OTo9raWrNNdnZ2q/fOzs6OapOTkxN1vFevXkpLSzPbtGXx4sXmfW+Px6O+ffte0vkmk0AgoJKVW2QY1k2RavKfVMlT21idDEBCs/Va35MmTTJ/XVBQoGuuuUb9+/fXq6++qttuu+28P2cYRtT6zm2t9dyRNudasGCB5s6da75uaGggrM/idLnVHLK2V800LQCJztY96nP16dNH/fv314cffihJys3NVSgUktfrjWpXV1dn9pBzc3P16aeftnqvY8eORbU5t+fs9XrV1NTUqqd9NrfbrZ49e0ZtsJdwU9DyS/AAcCkSKqiPHz+uw4cPq0+fPpKkwsJCuVwuVVRUmG1qamq0f/9+jRgxQpI0fPhw+Xw+7d2712yzZ88e+Xy+qDb79+9XTU2N2Wbz5s1yu90qLCzsjFMDAKBNll76PnXqlD766CPz9cGDB1VdXa3MzExlZmZq4cKF+va3v60+ffro448/1v3336+srCx961vfkiR5PB5NnTpV8+bNU+/evZWZman58+dryJAh5ijwQYMGacyYMSotLdWqVaskSdOmTdP48eM1cOBASVJRUZEGDx6skpISPfLII6qvr9f8+fNVWlpKLxkAYClLg/qtt97SqFGjzNct93snT56sp556Su+8845++ctf6sSJE+rTp49GjRqlF198URkZGebPLF++XKmpqbr99tvl9/t10003ad26dXI6nWabDRs2aPbs2ebo8IkTJ0bN3XY6nXr11Vc1ffp0XXfddUpPT1dxcbEeffTReP8WAABwQQ6DuSsx09DQII/HI5/P1+V74n6/X5Mer1BzyC9HiktGpEmRcEROl1tGpMncd6FjF7vvQsfkSNWaHwwzV78DgESTUPeogfaKNIc0bd0epmgBSFgENZIeU7QAJDKCGkmPFcoAJDKCGkkv0hzSnU9WtJpvDwCJgKBGl8DlbwCJiqAGAMDGCGoAAGyMoAYAwMYIanQZjP4GkIgIanQJhmHI6/Vq0uMVLH4CIKEQ1IiLMz3XiNVlmCLNIc1cv08pqS6rSwGAdiGo0WUwRQtAIiKo0aVwnxpAoiGo0aVEmkOavHoH96kBJAyCGl0Ol8ABJBKCGl1KuCmoSNg+g9wA4LMQ1AAA2FiHgvqKK67Q8ePHW+0/ceKErrjiiksuCog3BpUBSBQdCuqPP/5Y4XC41f5gMKgjR45cclFAPIWbgix+AiBhpLan8SuvvGL++ve//708Ho/5OhwOa8uWLbr88stjVhwQD2f3puvr65WXlyeHw2F1WQDQpnYF9a233ipJcjgcmjx5ctQxl8ulyy+/XEuXLo1ZcUA8mKuUOVM0bd0e/d+5Y5Wenm51WQDQpnYFdSRyZrRsfn6+9u3bp6ysrLgUBcSb0+WWEWliqhYA22tXULc4ePBgrOsAAABt6FBQS9KWLVu0ZcsW1dXVmT3tFs8+++wlFwYAADoY1P/5n/+pn//857rmmmvUp08fBuIAABAnHQrqp59+WuvWrVNJSUms6wEAAGfp0DzqUCikESNGxLoWAABwjg4F9d13362NGzfGuhYAAHCODl36DgQCWr16tV5//XV96Utfksvlijq+bNmymBQHxFvL4ifdunVjrAUAW+pQUL/99tv6yle+Iknav39/1DG+7JBIWp5P/X/uHc2iJwBsqUNB/cYbb8S6DsBSfr+foAZgSzzmEgAAG+tQj3rUqFEXvMS9devWDhcEAAD+oUNB3XJ/ukVTU5Oqq6u1f//+Vg/rQNfTMkBLCfKo57OfpsUYCwB206GgXr58eZv7Fy5cqFOnTl1SQUh8gUBAU1dvkzMtMe75RppDPEULgG3F9B71nXfeyTrfkCQ5XWlWl9AuTpc7qmcNAHYR06DetWuXunXrFsu3BDpNIBDQpMcrFAgErC4FAEwduvR92223Rb02DEM1NTV666239O///u8xKQywgjON51MDsJcOBbXH44l6nZKSooEDB+rnP/+5ioqKYlIY0JnOvuzNSmUA7KRDQb127dpY1wFYKtIc0l2rtirV3YOVygDYSoeCukVVVZUOHDggh8OhwYMH6+qrr45VXUCnaxkA53Rx+RuAfXQoqOvq6nTHHXdo27Zt+tznPifDMOTz+TRq1CiVlZXpsssui3WdAAB0SR0a9T1r1iw1NDTo3XffVX19vbxer/bv36+GhgbNnj071jUCnSbcFFQkHLG6DAAwdahHXV5ertdff12DBg0y9w0ePFhPPvkkg8mQ8BhQBsBOOtSjjkQirZ5BLUkul0uRCL0RJLaWR18ynxqAHXQoqL/+9a/r3nvv1dGjR819R44c0Y9//GPddNNNMSsOsAoDygDYRYeCesWKFTp58qQuv/xyfeELX9A///M/Kz8/XydPntQTTzwR6xoBS7CkKAA76NA96r59++oPf/iDKioq9P7778swDA0ePFg333xzrOsDLBMIBDRlTaVenH0Lc6oBWKZdPeqtW7dq8ODBamhokCTdcsstmjVrlmbPnq1rr71WV111ld588824FApYgSVFAVitXUH92GOPqbS0VD179mx1zOPx6J577tGyZctiVhxgFfOZ2gBgsXYF9Z/+9CeNGTPmvMeLiopUVVV1yUUBVos0h1T6bKUMZjEAsFi7gvrTTz9tc1pWi9TUVB07duySiwLsgJHfAOygXUH9T//0T3rnnXfOe/ztt99Wnz59LrkoJLYzI6UTuyfKCmUA7KJdQf2Nb3xD//Ef/9HmQhB+v18PPvigxo8fH7PiAKsxRQuA1doV1D/72c9UX1+vL37xi1qyZIlefvllvfLKK3r44Yc1cOBA1dfX64EHHohXrUCnY5UyAFZr1zzqnJwc7dy5Uz/60Y+0YMECs5fhcDg0evRorVy5Ujk5OXEpFLAK96oBWKndC570799fr732mrxerz766CMZhqEBAwaoV69e8agPAIAurUMrk0lSr169dO2118ayFsB2wk1BOVLOP9MBAOKtQ2t9AwCAzkFQA58h3BRklTIAliGogc/AFC0AViKogc8QaQ5p2ro9TNECYAmCGrgITNECYBWCGgAAGyOogYvAfWoAViGogYvAUqIArEJQAxeJ+9QArEBQAxeJy98ArEBQI6ZawkxJmGVc/gZgBYIaMRUIBDR19TZFIhGrS4k51v0GYAWCGjHndKVZXQIAJA2CGmgnv9/P2t8AOg1BDQCAjRHUAADYGEENtANTtAB0NoIaaIdIc0ilz1bK6/VynxpApyCogXZihTIAncnSoN6xY4cmTJigvLw8ORwO/frXv446bhiGFi5cqLy8PKWnp2vkyJF69913o9oEg0HNmjVLWVlZ6tGjhyZOnKhPPvkkqo3X61VJSYk8Ho88Ho9KSkp04sSJqDaHDh3ShAkT1KNHD2VlZWn27NkKhULxOG0kOC5/A+hMlgb16dOn9eUvf1krVqxo8/iSJUu0bNkyrVixQvv27VNubq5uueUWnTx50mwzZ84cbdq0SWVlZaqsrNSpU6c0fvx4hcNhs01xcbGqq6tVXl6u8vJyVVdXq6SkxDweDoc1btw4nT59WpWVlSorK9NLL72kefPmxe/kkbAizSHNXL+PFcoAdIpUKz987NixGjt2bJvHDMPQY489pgceeEC33XabJOm5555TTk6ONm7cqHvuuUc+n0/PPPOMnn/+ed18882SpPXr16tv3756/fXXNXr0aB04cEDl5eXavXu3hg4dKklas2aNhg8frg8++EADBw7U5s2b9d577+nw4cPKy8uTJC1dulRTpkzRQw89pJ49e3bC7wYSSUpqmtmrdjgcVpcDIInZ9h71wYMHVVtbq6KiInOf2+3WjTfeqJ07d0qSqqqq1NTUFNUmLy9PBQUFZptdu3bJ4/GYIS1Jw4YNk8fjiWpTUFBghrQkjR49WsFgUFVVVeetMRgMqqGhIWpD1xBpDmnauj30qgHEnW2Dura2VpKUk5MTtT8nJ8c8Vltbq7S0NPXq1euCbbKzs1u9f3Z2dlSbcz+nV69eSktLM9u0ZfHixeZ9b4/Ho759+7bzLJHIzu5VA0C82DaoW5x7WfFiLjWe26at9h1pc64FCxbI5/OZ2+HDhy9YF5ILT9MC0BlsG9S5ubmS1KpHW1dXZ/Z+c3NzFQqF5PV6L9jm008/bfX+x44di2pz7ud4vV41NTW16mmfze12q2fPnlEbuhamagGIN9sGdX5+vnJzc1VRUWHuC4VC2r59u0aMGCFJKiwslMvlimpTU1Oj/fv3m22GDx8un8+nvXv3mm327Nkjn88X1Wb//v2qqakx22zevFlut1uFhYVxPc9kYj6LGgAQM5aO+j516pQ++ugj8/XBgwdVXV2tzMxM9evXT3PmzNGiRYs0YMAADRgwQIsWLVL37t1VXFwsSfJ4PJo6darmzZun3r17KzMzU/Pnz9eQIUPMUeCDBg3SmDFjVFpaqlWrVkmSpk2bpvHjx2vgwIGSpKKiIg0ePFglJSV65JFHVF9fr/nz56u0tJRecjsEAgGVrNwiw0i+Z1GfT7gpKL/fr/T0dKtLAZCkLA3qt956S6NGjTJfz507V5I0efJkrVu3Tj/5yU/k9/s1ffp0eb1eDR06VJs3b1ZGRob5M8uXL1dqaqpuv/12+f1+3XTTTVq3bp2cTqfZZsOGDZo9e7Y5OnzixIlRc7edTqdeffVVTZ8+Xdddd53S09NVXFysRx99NN6/BUnH6XKrOdR1etWGYaixsVGGYSg9PV3du3e3uiQAScZhMGQ1ZhoaGuTxeOTz+bpkT9zv92vS4xVqDvkVCUfkdLllRJrkSHHJiDS1ue9CxxLlPSLhiFKcKVo/4xZlZmZa/ccAIMlY2qMGkoHT5VaK07bDPQAkOL5dgBhg/W8A8UJQAzHASmUA4oWgBmKElcoAxANBDcQIK5UBiAeCGogxFn0BEEsENQAANkZQAzHE6G8AsUZQAzHE6G8AsUZQAzHGE7UAxBJBDQCAjRHUQIxxnxpALBHUQIwxnxpALBHUQIyFm4JypLisLgNAkiCoAQCwMYIaiAPuUwOIFYIaiAPuUwOIFYIaiBPmUwOIBYIaAAAbI6gBALAxghoxc2bwVMTqMmyDAWUAYoGgBuKkyX9SJU9tY0AZgEtCUANxxIAyAJeKoAYAwMYIagAAbIygBuLM7/fL7/dbXQaABJVqdQFAMjMMQ42NjTIMQ926dZPD4bC6JAAJhh41EEeR5pCmrn5D3396O6O/AXQIQQ3EmdOVxuhvAB1GUAMAYGMENQAANkZQA50g3BRk5DeADiGogU7QMvq7ZQQ4AFwsghroBJHmkO7+xZua9PhmRn8DaBeCGjHR8qQo0Vk8L6fLzehvAO1GUCMmAoGApq7epkiEx1wCQCwR1IgZpyvN6hIAIOkQ1EAnYvQ3gPYiqAEAsDGCGgAAGyOoAQCwMYIa6GQtU9lY+ATAxSCogU5kGIa8Xq8mPV7BwicALgpBDXSiSHNIM9fvk8OZSq8awEUhqIFO5nS5FWkOafLqHfSqAXwmghqwQLgpKEeKy+oyACQAghoAABsjqAEAsDGCGgAAGyOoccnMR1wCAGKOoMYlCwQCKlm5RYbBIy4BINYIasSE0+W2uoSExCplAD4LQQ1YhFXKAFwMghqwSKQ5pLtWbZUcTqtLAWBjBDVgIacrzeoSANgcQQ0AgI0R1AAA2BhBDVgs3BRkHjqA8yKoAQCwMYIasBhzqQFcCEENWCzSHFLp2t3yer2ENYBWCGrABhwOhyav3sHCJwBaIagBm2AZVgBtIagBALAxghoAABsjqAEAsDGCGrAJpmkBaAtBjUt2JlwiVpeR8CLNIUZ+A2iFoAZsItwUlCPFZXUZAGyGoAZshMvfAM5FUAM2wuVvAOciqAGbYeETAGcjqAEAsDGCGgAAGyOoAZsJNwXl9/utLgOATRDUAADYGEENAICNEdQAANiYrYN64cKFcjgcUVtubq553DAMLVy4UHl5eUpPT9fIkSP17rvvRr1HMBjUrFmzlJWVpR49emjixIn65JNPotp4vV6VlJTI4/HI4/GopKREJ06c6IxTTHgtC3SI9TlixjAM1dfXq7Gx0epSANiArYNakq666irV1NSY2zvvvGMeW7JkiZYtW6YVK1Zo3759ys3N1S233KKTJ0+abebMmaNNmzaprKxMlZWVOnXqlMaPH69wOGy2KS4uVnV1tcrLy1VeXq7q6mqVlJR06nkmqkAgoKmrtykSYa3vWIk0hzRz/T4WPQEgSUq1uoDPkpqaGtWLbmEYhh577DE98MADuu222yRJzz33nHJycrRx40bdc8898vl8euaZZ/T888/r5ptvliStX79effv21euvv67Ro0frwIEDKi8v1+7duzV06FBJ0po1azR8+HB98MEHGjhw4HlrCwaDCgaD5uuGhoZYnnrCcLrSrC4h6ThdbvNqRbdu3eRwOKwuCYBFbN+j/vDDD5WXl6f8/Hzdcccd+stf/iJJOnjwoGpra1VUVGS2dbvduvHGG7Vz505JUlVVlZqamqLa5OXlqaCgwGyza9cueTweM6QladiwYfJ4PGab81m8eLF5udzj8ahv374xO290bYZhyOv1atLjFfSsgS7O1kE9dOhQ/fKXv9Tvf/97rVmzRrW1tRoxYoSOHz+u2tpaSVJOTk7Uz+Tk5JjHamtrlZaWpl69el2wTXZ2dqvPzs7ONtucz4IFC+Tz+czt8OHDHT5X4Gwtl79TUnmaFtDV2frS99ixY81fDxkyRMOHD9cXvvAFPffccxo2bJgktbokaBjGZ14mPLdNW+0v5n3cbrfcbtZlRnyw5jcAyeY96nP16NFDQ4YM0Ycffmjetz6311tXV2f2snNzcxUKheT1ei/Y5tNPP231WceOHWvVWwcAoLMlVFAHg0EdOHBAffr0UX5+vnJzc1VRUWEeD4VC2r59u0aMGCFJKiwslMvlimpTU1Oj/fv3m22GDx8un8+nvXv3mm327Nkjn89ntgEAwCq2vvQ9f/58TZgwQf369VNdXZ3+67/+Sw0NDZo8ebIcDofmzJmjRYsWacCAARowYIAWLVqk7t27q7i4WJLk8Xg0depUzZs3T71791ZmZqbmz5+vIUOGmKPABw0apDFjxqi0tFSrVq2SJE2bNk3jx4+/4IhvAAA6g62D+pNPPtF3v/td/e1vf9Nll12mYcOGaffu3erfv78k6Sc/+Yn8fr+mT58ur9eroUOHavPmzcrIyDDfY/ny5UpNTdXtt98uv9+vm266SevWrZPT6TTbbNiwQbNnzzZHh0+cOFErVqzo3JMFAKANDsMwWFMqRhoaGuTxeOTz+dSzZ0+ry+kUfr9f/7r0t5LDKSPSJEeKS0akSZFw5Mxc4M/Y1972yfQeF9Pe1S1dL0wfqfT0dKv/qAFYxNY9aqCrCzcFzaVEWfgE6JoSajAZ7Mfv98swWD40Xlj4BABBDdgYC58AIKgBm2PhE6BrI6gBALAxghpIAOGm4JnnfgPocghqIAG0PPKS2ZRA10NQAwkg0hzSXau36+jRo4Q10MUQ1ECCcDgcmrZuD9O0gC6GoAYSCCPAga6HoAYAwMYIanRYywAnccsUAOKGoEaHBQIBTV29TZEIS4gCQLwQ1LgkTlea1SV0KUzTAroeghpIIJHmkO58skJer9fqUgB0EoIaSDCM/Aa6FoIaAAAbI6iBBMS9aqDrIKiBBGMYhrxeryY9XsEqZUAXQFADCSbSHNLM9fuUkuqyuhQAnYCgBhIQA8qAroOgRoeYq5IBAOKKoEaHBAIBlazcIsNgVTKrhJuC/GMJ6AIIanQYl1+tx+hvIPkR1EACCwQCjP4GkhxBDSQ4ZxpXNoBkRlADCYoBfUDXQFADCaplPnVz0E9gA0mMoAYSGAP6gORHUKNDzow0ZmoWAMQbQQ0kOKZoAcmNoAYSXKQ5pKlrdsjr9VpdCoA4IKiBJJCSmkavGkhSBDXazZwWRCbYRqQ5pGnr9rDwCZCECGq0WyAQ0NTV2xSJMJjMTpwut/x+pmoByYagRoc4XWlWl4BzMKgMSE4ENZAkIs0hlT5byeVvIMkQ1EASYQEUIPkQ1EASMQxDjY2Namxs5BI4kCQIaiCJRJpDuvsXb2rS45u5BA4kCYIa7cITm+zP6XJzCRxIIgQ12iUQCKhk5RbW+ba5cFOQf1ABSYKgRrvRW7M/pmoByYOgBpIQK5UByYOgBpIYl7+BxEdQAwBgYwQ1kKSYUw0kB4Ia7XJmgBIjvhMBc6qB5EBQA0msZYQ+96qBxEVQA0mOqVpAYiOocdHMVcn4vk8okeaQStfultfrJayBBERQ46IFAgFNXb1NkQj3qBONw+HQnU9WyOv1Wl0KgHYiqNEuTlea1SWgg1JS07gEDiQgghroIiLNIU1ds4NeNZBgCGqgC2GddiDxENS4KDzeMjmwCAqQeAhqXBQeb5kcWAQFSDwENS4al02Tg9Pl5s8SSCAENS4KS4cml+ZQQPX19Vz+BhIAQQ10QSyCAiQOghqfiRXJkpPD4dD3V20nrAGbI6jxmViRLHlFmkO6c+UbhDVgYwQ1LgorkiUvh8Ohyat3MAocsCmCGoAMw9Dx48eZXw3YEEENgPnVgI0R1LggViTrYhypPLgDsBmCGhcUCARU/D+/U7i52epS0AkizSF9b8VmHT16lLAGbIKgxnm19KYZSNa1OBwO5lgDNkJQ47xY37vrcjgc+t6KzTpy5AgDzACLEdS4INaE7rocDod+8NQWfWd5OQPMAAsR1ADOy+lKU0pqGo/GBCxEUKNNhmGceWgDq5F1eZHmkIr/5zX967Lfyev1KhKJMDIc6EQENdrEsqE4m9OVZt63fu+993T7Y7/ncjjQSQhqtMJob5yPw+HQj1+oklJSdfz4cf3tb3/jkjgQZ6lWFwB7MQxDR48eVekzlZJDcjicVpcEm3G60hRpDmnq6jfkSEmVI8WhNXddr169esnhcCg9PV0Oh8PqMoGkQVAjSsslb2dauoxIk9XlwMacrjQ5UlwyIk26+xdvKsWZopTUND037QZ169aN0AZihKCGpH9c7q6vr1eKk/8t0D5Ol1tGpEnNwYC+98RmGZFmOdO66/kfjVS3bt3MdoQ30H58I59j5cqVeuSRR1RTU6OrrrpKjz32mL72ta9ZXVbcnB3Q0579fwo3h+RISZWTK97ooDOhnSKHw6Hi/3lNkXDkzDSvc3rc5yLEgbYR1Gd58cUXNWfOHK1cuVLXXXedVq1apbFjx+q9995Tv379rC4vZlrC2TAMBQIBff+prWoOBZTq7iGnQ4qEGemN2DhzeTxi9riNiBEV3kakWY6U1PP2wM/lcDjUrVs3BQIBGYZhhrt05rZNyyV3IJk4DIZrmoYOHaqvfvWreuqpp8x9gwYN0q233qrFixe3ah8MBhUMBs3XPp9P/fr10+HDh9WzZ89LqiWeT6zyer364eot5hdkqrubjEhYjhSnjEj471+irs/c1972vIf1n2n392gOBtoM8bN75Y/ecY3mbdglQ06lut1aUzpSknTPM9u1auqNSk9PN//+tIQ4EEux/P8qIyPjs/9xacAwDMMIBoOG0+k0fvWrX0Xtnz17tnHDDTe0+TMPPvigIYmNjY2Nja1Dm8/n+8x84tL33/3tb39TOBxWTk5O1P6cnBzV1ta2+TMLFizQ3LlzzdeRSET19fXq3bt3Ql1+a2hoUN++fWNyJcBuOLfElcznx7klrlifX0ZGxme2IajPcW7AGn+/D9YWt9sttzv6oRWf+9zn4lVa3PXs2TMp/2JJnFsiS+bz49wSV2eeHyuT/V1WVpacTmer3nNdXV2rXjYAAJ2FoP67tLQ0FRYWqqKiImp/RUWFRowYYVFVAICujkvfZ5k7d65KSkp0zTXXaPjw4Vq9erUOHTqkH/7wh1aXFldut1sPPvhgq8v4yYBzS1zJfH6cW+Ky4vyYnnWOlStXasmSJaqpqVFBQYGWL1+uG264weqyAABdFEENAICNcY8aAAAbI6gBALAxghoAABsjqAEAsDGCGqaPP/5YU6dOVX5+vtLT0/WFL3xBDz74oEKhkNWldcjKlSuVn5+vbt26qbCwUG+++abVJcXE4sWLde211yojI0PZ2dm69dZb9cEHH1hdVlwsXrxYDodDc+bMsbqUmDhy5IjuvPNO9e7dW927d9dXvvIVVVVVWV1WTDQ3N+tnP/uZ+f1xxRVX6Oc//7kikcR7Gt+OHTs0YcIE5eXlyeFw6Ne//nXUccMwtHDhQuXl5Sk9PV0jR47Uu+++G7d6CGqY3n//fUUiEa1atUrvvvuuli9frqefflr333+/1aW1W8sjSx944AH98Y9/1Ne+9jWNHTtWhw4dsrq0S7Z9+3bNmDFDu3fvVkVFhZqbm1VUVKTTp09bXVpM7du3T6tXr9aXvvQlq0uJCa/Xq+uuu04ul0u/+93v9N5772np0qUJvezw2R5++GE9/fTTWrFihQ4cOKAlS5bokUce0RNPPGF1ae12+vRpffnLX9aKFSvaPL5kyRItW7ZMK1as0L59+5Sbm6tbbrlFJ0+ejE9Bl/jQKSS5JUuWGPn5+VaX0W7/8i//Yvzwhz+M2nfllVcaP/3pTy2qKH7q6uoMScb27dutLiVmTp48aQwYMMCoqKgwbrzxRuPee++1uqRLdt999xnXX3+91WXEzbhx44y77rorat9tt91m3HnnnRZVFBuSjE2bNpmvI5GIkZuba/z3f/+3uS8QCBgej8d4+umn41IDPWpckM/nU2ZmptVltEsoFFJVVZWKioqi9hcVFWnnzp0WVRU/Pp9PkhLuz+lCZsyYoXHjxunmm2+2upSYeeWVV3TNNdfoO9/5jrKzs3X11VdrzZo1VpcVM9dff722bNmiP//5z5KkP/3pT6qsrNQ3vvENiyuLrYMHD6q2tjbq+8XtduvGG2+M2/cLS4jivP73f/9XTzzxhJYuXWp1Ke3SkUeWJirDMDR37lxdf/31KigosLqcmCgrK9Mf/vAH7du3z+pSYuovf/mLnnrqKc2dO1f333+/9u7dq9mzZ8vtduv73/++1eVdsvvuu08+n09XXnmlnE6nwuGwHnroIX33u9+1urSYavkOaev75a9//WtcPpMedRewcOFCORyOC25vvfVW1M8cPXpUY8aM0Xe+8x3dfffdFlV+adrzyNJENXPmTL399tt64YUXrC4lJg4fPqx7771X69evV7du3awuJ6YikYi++tWvatGiRbr66qt1zz33qLS0VE899ZTVpcXEiy++qPXr12vjxo36wx/+oOeee06PPvqonnvuOatLi4vO/H6hR90FzJw5U3fccccF21x++eXmr48ePapRo0aZDyZJNF3lkaWzZs3SK6+8oh07dujzn/+81eXERFVVlerq6lRYWGjuC4fD2rFjh1asWKFgMCin02lhhR3Xp08fDR48OGrfoEGD9NJLL1lUUWz927/9m37605+a3zVDhgzRX//6Vy1evFiTJ0+2uLrYyc3NlXSmZ92nTx9zfzy/XwjqLiArK0tZWVkX1fbIkSMaNWqUCgsLtXbtWqWkJN5Fl7MfWfqtb33L3F9RUaFvfvObFlYWG4ZhaNasWdq0aZO2bdum/Px8q0uKmZtuuknvvPNO1L4f/OAHuvLKK3XfffclbEhL0nXXXddqGt2f//xn9e/f36KKYquxsbHV94XT6UzI6VkXkp+fr9zcXFVUVOjqq6+WdGZczPbt2/Xwww/H5TMJapiOHj2qkSNHql+/fnr00Ud17Ngx81jLvyITRTI/snTGjBnauHGjXn75ZWVkZJhXDjwej9LT0y2u7tJkZGS0utfeo0cP9e7dO+Hvwf/4xz/WiBEjtGjRIt1+++3au3evVq9enZBXrdoyYcIEPfTQQ+rXr5+uuuoq/fGPf9SyZct01113WV1au506dUofffSR+frgwYOqrq5WZmam+vXrpzlz5mjRokUaMGCABgwYoEWLFql79+4qLi6OT0FxGUuOhLR27VpDUptbInryySeN/v37G2lpacZXv/rVpJm+dL4/o7Vr11pdWlwky/QswzCM3/zmN0ZBQYHhdruNK6+80li9erXVJcVMQ0ODce+99xr9+vUzunXrZlxxxRXGAw88YASDQatLa7c33nijzb9jkydPNgzjzBStBx980MjNzTXcbrdxww03GO+8807c6uExlwAA2Fji3YAEAKALIagBALAxghoAABsjqAEAsDGCGgAAGyOoAQCwMYIaAAAbI6gBALAxghoAABsjqAEAsDGCGgAAG/v/1Z75ET53668AAAAASUVORK5CYII=",
+      "text/plain": [
+       "<Figure size 500x500 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/home/jonathan/anaconda3/envs/fdiff/lib/python3.10/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
+      "  if pd.api.types.is_categorical_dtype(vector):\n",
+      "/home/jonathan/anaconda3/envs/fdiff/lib/python3.10/site-packages/seaborn/_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n",
+      "  with pd.option_context('mode.use_inf_as_na', True):\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 500x500 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/home/jonathan/anaconda3/envs/fdiff/lib/python3.10/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
+      "  if pd.api.types.is_categorical_dtype(vector):\n",
+      "/home/jonathan/anaconda3/envs/fdiff/lib/python3.10/site-packages/seaborn/_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n",
+      "  with pd.option_context('mode.use_inf_as_na', True):\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 500x500 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/home/jonathan/anaconda3/envs/fdiff/lib/python3.10/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
+      "  if pd.api.types.is_categorical_dtype(vector):\n",
+      "/home/jonathan/anaconda3/envs/fdiff/lib/python3.10/site-packages/seaborn/_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n",
+      "  with pd.option_context('mode.use_inf_as_na', True):\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 500x500 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/home/jonathan/anaconda3/envs/fdiff/lib/python3.10/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
+      "  if pd.api.types.is_categorical_dtype(vector):\n",
+      "/home/jonathan/anaconda3/envs/fdiff/lib/python3.10/site-packages/seaborn/_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n",
+      "  with pd.option_context('mode.use_inf_as_na', True):\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 500x500 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/home/jonathan/anaconda3/envs/fdiff/lib/python3.10/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
+      "  if pd.api.types.is_categorical_dtype(vector):\n",
+      "/home/jonathan/anaconda3/envs/fdiff/lib/python3.10/site-packages/seaborn/_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n",
+      "  with pd.option_context('mode.use_inf_as_na', True):\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 500x500 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/home/jonathan/anaconda3/envs/fdiff/lib/python3.10/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
+      "  if pd.api.types.is_categorical_dtype(vector):\n",
+      "/home/jonathan/anaconda3/envs/fdiff/lib/python3.10/site-packages/seaborn/_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n",
+      "  with pd.option_context('mode.use_inf_as_na', True):\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 500x500 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/home/jonathan/anaconda3/envs/fdiff/lib/python3.10/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
+      "  if pd.api.types.is_categorical_dtype(vector):\n",
+      "/home/jonathan/anaconda3/envs/fdiff/lib/python3.10/site-packages/seaborn/_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n",
+      "  with pd.option_context('mode.use_inf_as_na', True):\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 500x500 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "for i in range(18):\n",
+    "    sns.displot(X_norm[:, :, i].flatten())\n",
+    "    plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "fdiff",
+   "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": "3.10.13"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
diff --git a/src/fdiff/dataloaders/datamodules.py b/src/fdiff/dataloaders/datamodules.py
index 18fa534..5fac168 100644
--- a/src/fdiff/dataloaders/datamodules.py
+++ b/src/fdiff/dataloaders/datamodules.py
@@ -12,7 +12,11 @@
 
 from fdiff.utils.dataclasses import collate_batch
 from fdiff.utils.fourier import dft
-from fdiff.utils.preprocessing import mimic_preprocess, nasdaq_preprocess
+from fdiff.utils.preprocessing import (
+    droughts_preprocess,
+    mimic_preprocess,
+    nasdaq_preprocess,
+)
 
 
 class DiffusionDataset(Dataset):
@@ -385,3 +389,57 @@ def download_data(self) -> None:
     @property
     def dataset_name(self) -> str:
         return "nasdaq"
+
+
+class USDroughtsDatamodule(Datamodule):
+    def __init__(
+        self,
+        data_dir: Path | str = Path.cwd() / "data",
+        random_seed: int = 42,
+        batch_size: int = 32,
+        fourier_transform: bool = False,
+        standardize: bool = False,
+    ) -> None:
+        super().__init__(
+            data_dir=data_dir,
+            random_seed=random_seed,
+            batch_size=batch_size,
+            fourier_transform=fourier_transform,
+            standardize=standardize,
+        )
+
+    def setup(self, stage: str = "fit") -> None:
+        if (
+            not (self.data_dir / "X_train.pt").exists()
+            or not (self.data_dir / "X_test.pt").exists()
+        ):
+            logging.info(
+                f"Preprocessed tensors for {self.dataset_name} not found. "
+                f"Now running the preprocessing pipeline."
+            )
+            droughts_preprocess(data_dir=self.data_dir, random_seed=self.random_seed)
+
+            logging.info(
+                f"Preprocessing pipeline finished, tensors saved in {self.data_dir}."
+            )
+
+        # Load preprocessed tensors
+        self.X_train = torch.load(self.data_dir / "X_train.pt")
+        self.X_test = torch.load(self.data_dir / "X_test.pt")
+
+        assert isinstance(self.X_train, torch.Tensor)
+        assert isinstance(self.X_test, torch.Tensor)
+        assert self.X_train.shape[2] == self.X_test.shape[2] == 18
+        assert self.X_train.shape[1] % 365 == self.X_test.shape[1] % 365 == 0
+
+    def download_data(self) -> None:
+        import kaggle
+
+        kaggle.api.authenticate()
+        kaggle.api.dataset_download_files(
+            "cdminix/us-drought-meteorological-data", path=self.data_dir, unzip=True
+        )
+
+    @property
+    def dataset_name(self) -> str:
+        return "droughts"
diff --git a/src/fdiff/utils/preprocessing.py b/src/fdiff/utils/preprocessing.py
index ff63fa9..e5591a5 100644
--- a/src/fdiff/utils/preprocessing.py
+++ b/src/fdiff/utils/preprocessing.py
@@ -256,3 +256,47 @@ def nasdaq_preprocess(
     # Save the preprocessed tensors.
     for X, name in zip([X_train, X_test], ["train", "test"]):
         torch.save(X, data_dir / f"X_{name}.pt")
+
+
+def droughts_preprocess(
+    data_dir: Path,
+    random_seed: int,
+    train_frac: float = 0.9,
+    start_date: str = "2010-01-01",
+    end_date: str = "2012-01-01",
+) -> None:
+    """Preprocess the US-Droughts dataset from the raw .csv file in data_dir.
+    Saves the preprocessed data as .pt files in the same directory.
+
+    Args:
+        data_dir (Path): Path in which the raw financial data is stored.
+    """
+
+    df = pd.read_csv(data_dir / "train_timeseries/train_timeseries.csv")
+
+    # Convert date column to datetime
+    df["date"] = pd.to_datetime(df["date"])
+
+    # Remove entries that are not in the inderval
+    start_time = pd.to_datetime(start_date)
+    end_time = pd.to_datetime(end_date)
+    df = df[(df["date"] >= start_time) & (df["date"] < end_time)]
+
+    # Drop columns with missing values
+    df = df.dropna(axis=1)
+
+    # Create a tensor of shape (num_fips, num_days, num_features) from df
+    df_pivot = df.pivot_table(index="fips", columns="date")
+    X = torch.tensor(df_pivot.values, dtype=torch.float32)
+    X = rearrange(X, "fips (feature day) -> fips day feature", day=730)
+
+    # Train-test split
+    torch.manual_seed(random_seed)
+    num_train = int(train_frac * len(X))
+    perm_idx = torch.randperm(len(X))
+    train_fips, test_fips = perm_idx[:num_train], perm_idx[num_train:]
+    X_train, X_test = X[train_fips], X[test_fips]
+
+    # Save the preprocessed tensors.
+    for X, name in zip([X_train, X_test], ["train", "test"]):
+        torch.save(X, data_dir / f"X_{name}.pt")

From 185749475b4174f99e0f89273425e3472a501e2a Mon Sep 17 00:00:00 2001
From: JonathanCrabbe <jonathan.cr1302@gmail.com>
Date: Mon, 8 Jan 2024 19:18:45 +0000
Subject: [PATCH 2/6] Correct number of step calculation when accumulating
 gradients

---
 src/fdiff/utils/extraction.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/src/fdiff/utils/extraction.py b/src/fdiff/utils/extraction.py
index 380a42e..cdbe65a 100644
--- a/src/fdiff/utils/extraction.py
+++ b/src/fdiff/utils/extraction.py
@@ -10,7 +10,7 @@
 
 def get_training_params(datamodule: Datamodule, trainer: pl.Trainer) -> dict[str, Any]:
     params = datamodule.dataset_parameters
-    params["num_training_steps"] *= trainer.max_epochs
+    params["num_training_steps"] *= trainer.max_epochs / trainer.accumulate_grad_batches
     assert isinstance(params, dict)
     return params
 

From 62e1075f9b8ba7277acdabfca478070ed0b171c8 Mon Sep 17 00:00:00 2001
From: JonathanCrabbe <jonathan.cr1302@gmail.com>
Date: Mon, 8 Jan 2024 19:27:05 +0000
Subject: [PATCH 3/6] Typing fix

---
 src/fdiff/utils/extraction.py | 3 ++-
 1 file changed, 2 insertions(+), 1 deletion(-)

diff --git a/src/fdiff/utils/extraction.py b/src/fdiff/utils/extraction.py
index cdbe65a..b98f0f6 100644
--- a/src/fdiff/utils/extraction.py
+++ b/src/fdiff/utils/extraction.py
@@ -10,7 +10,8 @@
 
 def get_training_params(datamodule: Datamodule, trainer: pl.Trainer) -> dict[str, Any]:
     params = datamodule.dataset_parameters
-    params["num_training_steps"] *= trainer.max_epochs / trainer.accumulate_grad_batches
+    params["num_training_steps"] *= trainer.max_epochs
+    params["num_training_steps"] /= trainer.accumulate_grad_batches
     assert isinstance(params, dict)
     return params
 

From d6715c999b49a950952ef93d81d6620bec13f650 Mon Sep 17 00:00:00 2001
From: JonathanCrabbe <jonathan.cr1302@gmail.com>
Date: Wed, 10 Jan 2024 18:06:01 +0000
Subject: [PATCH 4/6] Add spectral density metrics

---
 cmd/conf/metrics/default.yaml |  1 +
 src/fdiff/sampling/metrics.py | 21 ++++++++++++++++++++-
 2 files changed, 21 insertions(+), 1 deletion(-)

diff --git a/cmd/conf/metrics/default.yaml b/cmd/conf/metrics/default.yaml
index d3574b7..a597539 100644
--- a/cmd/conf/metrics/default.yaml
+++ b/cmd/conf/metrics/default.yaml
@@ -1,6 +1,7 @@
 _target_: fdiff.sampling.metrics.MetricCollection
 _partial_: true
 include_baselines: true
+include_specral_density: true
 metrics:
   - _target_: fdiff.sampling.metrics.SlicedWasserstein
     _partial_: true
diff --git a/src/fdiff/sampling/metrics.py b/src/fdiff/sampling/metrics.py
index c5c40fd..27dafca 100644
--- a/src/fdiff/sampling/metrics.py
+++ b/src/fdiff/sampling/metrics.py
@@ -5,7 +5,7 @@
 import numpy as np
 import torch
 
-from fdiff.utils.fourier import dft
+from fdiff.utils.fourier import dft, spectral_density
 from fdiff.utils.tensors import check_flat_array
 from fdiff.utils.wasserstein import WassersteinDistances
 
@@ -33,6 +33,7 @@ def __init__(
         metrics: list[Metric],
         original_samples: Optional[np.ndarray | torch.Tensor] = None,
         include_baselines: bool = True,
+        include_specral_density: bool = False,
     ) -> None:
         metrics_time: list[Metric] = []
         metrics_freq: list[Metric] = []
@@ -52,6 +53,15 @@ def __init__(
         self.metrics_time = metrics_time
         self.metrics_freq = metrics_freq
         self.include_baselines = include_baselines
+        self.metric_spectral = (
+            MarginalWasserstein(
+                original_samples=spectral_density(original_samples),
+                random_seed=42,
+                save_all_distances=True,
+            )
+            if include_specral_density
+            else None
+        )
 
     def __call__(self, other_samples: np.ndarray | torch.Tensor) -> dict[str, Any]:
         metric_dict = {}
@@ -65,6 +75,15 @@ def __call__(self, other_samples: np.ndarray | torch.Tensor) -> dict[str, Any]:
             )
         if self.include_baselines:
             metric_dict.update(self.baseline_metrics)
+        if self.metric_spectral is not None:
+            metric_dict.update(
+                {
+                    f"spectral_{k}": v
+                    for k, v in self.metric_spectral(
+                        spectral_density(other_samples)
+                    ).items()
+                }
+            )
         return dict(sorted(metric_dict.items(), key=lambda item: item[0]))
 
     @property

From 4c665c6652e3f43b2ef8a65f1a6186a0efd53bcf Mon Sep 17 00:00:00 2001
From: JonathanCrabbe <jonathan.cr1302@gmail.com>
Date: Thu, 11 Jan 2024 18:04:19 +0000
Subject: [PATCH 5/6] Update batch size and start date, remove correlated
 features in US-Droughts

---
 cmd/conf/datamodule/usdroughts.yaml  |    2 +-
 notebooks/droughts_exploration.ipynb | 5688 +++++++++++++++++++++++++-
 src/fdiff/dataloaders/datamodules.py |   12 +-
 src/fdiff/utils/preprocessing.py     |    5 +-
 4 files changed, 5700 insertions(+), 7 deletions(-)

diff --git a/cmd/conf/datamodule/usdroughts.yaml b/cmd/conf/datamodule/usdroughts.yaml
index 9ceebec..195fa36 100644
--- a/cmd/conf/datamodule/usdroughts.yaml
+++ b/cmd/conf/datamodule/usdroughts.yaml
@@ -3,4 +3,4 @@ data_dir: ${hydra:runtime.cwd}/data
 random_seed: ${random_seed}
 fourier_transform: ${fourier_transform}
 standardize: ${standardize}
-batch_size: 16
+batch_size: 64
diff --git a/notebooks/droughts_exploration.ipynb b/notebooks/droughts_exploration.ipynb
index 51c696b..46288be 100644
--- a/notebooks/droughts_exploration.ipynb
+++ b/notebooks/droughts_exploration.ipynb
@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": 3,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -10,6 +10,7 @@
     "from tqdm import tqdm\n",
     "from einops import rearrange\n",
     "from fdiff.utils.fourier import dft\n",
+    "from yaml import safe_load\n",
     "\n",
     "import pandas as pd\n",
     "import torch\n",
@@ -19,6 +20,13 @@
     "DATA_FILEPATH = Path.cwd() / \"../data/droughts/train_timeseries/\""
    ]
   },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Preprocessing"
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": 2,
@@ -1109,6 +1117,32 @@
     "plt.ylabel(\"Singular value\")"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": 47,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1000x2500 with 10 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "n_plot = 5\n",
+    "fig, axs = plt.subplots(n_plot, 2, figsize=(10, 5*n_plot))\n",
+    "for i in range(n_plot):\n",
+    "    sns.heatmap(X_norm[i, :, :].transpose(1, 0), ax=axs[i, 0], cbar=False)\n",
+    "    sns.heatmap(X_norm_dft[i, :, :].transpose(1, 0), ax=axs[i, 1], cbar=False)\n",
+    "    axs[i, 0].set_title(f\"Time domain, FIPS {i}\")\n",
+    "    axs[i, 1].set_title(f\"Frequency domain, FIPS {i}\")"
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": 38,
@@ -1481,6 +1515,5658 @@
     "    plt.show()"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": 48,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/home/jonathan/anaconda3/envs/fdiff/lib/python3.10/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
+      "  if pd.api.types.is_categorical_dtype(vector):\n",
+      "/home/jonathan/anaconda3/envs/fdiff/lib/python3.10/site-packages/seaborn/_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n",
+      "  with pd.option_context('mode.use_inf_as_na', True):\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 500x500 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/home/jonathan/anaconda3/envs/fdiff/lib/python3.10/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
+      "  if pd.api.types.is_categorical_dtype(vector):\n",
+      "/home/jonathan/anaconda3/envs/fdiff/lib/python3.10/site-packages/seaborn/_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n",
+      "  with pd.option_context('mode.use_inf_as_na', True):\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 500x500 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/home/jonathan/anaconda3/envs/fdiff/lib/python3.10/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
+      "  if pd.api.types.is_categorical_dtype(vector):\n",
+      "/home/jonathan/anaconda3/envs/fdiff/lib/python3.10/site-packages/seaborn/_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n",
+      "  with pd.option_context('mode.use_inf_as_na', True):\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 500x500 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/home/jonathan/anaconda3/envs/fdiff/lib/python3.10/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
+      "  if pd.api.types.is_categorical_dtype(vector):\n",
+      "/home/jonathan/anaconda3/envs/fdiff/lib/python3.10/site-packages/seaborn/_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n",
+      "  with pd.option_context('mode.use_inf_as_na', True):\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 500x500 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/home/jonathan/anaconda3/envs/fdiff/lib/python3.10/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
+      "  if pd.api.types.is_categorical_dtype(vector):\n",
+      "/home/jonathan/anaconda3/envs/fdiff/lib/python3.10/site-packages/seaborn/_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n",
+      "  with pd.option_context('mode.use_inf_as_na', True):\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 500x500 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/home/jonathan/anaconda3/envs/fdiff/lib/python3.10/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
+      "  if pd.api.types.is_categorical_dtype(vector):\n",
+      "/home/jonathan/anaconda3/envs/fdiff/lib/python3.10/site-packages/seaborn/_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n",
+      "  with pd.option_context('mode.use_inf_as_na', True):\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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lZmYGtN7TK0HHj5UQazQR1u+of/KTn+i2227TCy+8EM63BYA256KvVrIbNDpvheKTUq+6ttY6o+LCXHm9XkKNJsIa6n//+9+KiYkJ51sCQJsWE987oE9KgOaEFOqpU6c2um/btkpLS7V371799re/DctgAAAgxFBf/tFMp06ddMMNN+i5555TdnZ2WAYDAAAhhnrVqlXhngMAAFxBq76j3rdvnz755BO5XC4NHjxYt956a7jmAgAACjHU5eXlevDBB7Vt2zb16tVLtm3LsixlZWVp/fr16tOHAycAAAiHkC5zOXv2bFVVVenw4cM6d+6cKioqdOjQIVVVVenJJ58M94wAAHRYIe1Rv/vuu9q8ebNuvPFG/2ODBw/WSy+9xMFkAACEUUh71A0NDU2uQS1JXbt2VUNDQ6uHAgAA3wgp1Hfffbd+/vOf6/Tp0/7HvvzyS/3iF7/Q2LFjwzYcAAAdXUgffRcVFenee+/VgAEDlJ6eLpfLpRMnTmjo0KFau3ZtuGcE2hwuWwkgXEIKdXp6uv7zn/+ouLhYn376qWzb1uDBgzVu3Lhwzwe0OVy2EkA4BRXqLVu2aNasWdq9e7fi4+M1fvx4jR8/XtI3fzjddNNNWrFihe68886IDAu0BVy2EkA4BRXqJUuW6LHHHlN8fHyT5zwej6ZPn65FixYRakBcthJAeAR1MNl///tf3XPPPc0+n52drX379rV6KAAA8I2gQv3VV19d8WdZl3Tp0kVff/11q4cCAADfCCrU3/rWt3Tw4MFmnz9w4IBSU69+gXQAABC4oEL9/e9/X88++6xqa2ubPFdTU6P58+dr4sSJYRsOAICOLqiDyX7zm9/ozTff1KBBgzRr1izdcMMNcrlc+uSTT/TSSy+pvr5e8+bNi9SsAAB0OEGFOjk5Wbt27dLjjz+u/Px82bYtSXK5XJowYYKWLVum5OTkiAwKAEBHFPQJT/r376933nlHFRUVOnr0qGzb1sCBA5WQkBCJ+QAA6NBCOjOZJCUkJCgzMzOcswAAgMuEdFEOAAAQHYQaAACDhfzRNwAgvIK5klpsbKw8Hk8Ep4EpCDUAOOxCbbXk6hTUcT+eXgk6fqyEWHcAhBoAHHbRVyvZDRqdt0LxSS2f3bHWOqPiwlx5vV5C3QEQagAwREx874CuuIaOhYPJAAAwGKEGAMBghBoAAIMRagAADEaoAQAwGKEGAMBghBoAAIMRagAADEaoAQAwGKEGAMBgjoZ6x44dmjRpktLS0uRyufTWW281et62bRUUFCgtLU3du3fXmDFjdPjw4UZrfD6fZs+eraSkJPXs2VOTJ0/WqVOnorgVAABEjqOhrq6u1i233KKioqIrPr9w4UItWrRIRUVF2rNnj1JSUjR+/HidP3/ev2bOnDnasGGD1q9fr507d8rr9WrixImqr6+P1mYAABAxjl6UIycnRzk5OVd8zrZtLVmyRPPmzdPUqVMlSWvWrFFycrLWrVun6dOny7IsrVy5Uq+99prGjRsnSVq7dq3S09O1efNmTZgw4Yrv7fP55PP5/PerqqrCvGUAAISHsd9Rl5SUqKysTNnZ2f7H3G63Ro8erV27dkmS9u3bpwsXLjRak5aWpiFDhvjXXElhYaE8Ho//lp6eHrkNAQCgFYwNdVlZmSQpOTm50ePJycn+58rKytStWzclJCQ0u+ZK8vPzZVmW/3by5MkwTw8AQHgYfz1ql8vV6L5t200eu1xLa9xut9xud1jmAwAgkozdo05JSZGkJnvG5eXl/r3slJQU1dXVqaKiotk1AAC0ZcaGOiMjQykpKSouLvY/VldXp+3bt2vUqFGSpGHDhqlr166N1pSWlurQoUP+NQAAtGWOfvTt9Xp19OhR//2SkhLt379fiYmJ6tevn+bMmaMFCxZo4MCBGjhwoBYsWKAePXrooYcekiR5PB7l5ubqqaeeUu/evZWYmKi8vDwNHTrUfxQ4AABtmaOh3rt3r7Kysvz3586dK0maNm2aVq9eraefflo1NTV64oknVFFRoREjRmjTpk2Ki4vzv2bx4sXq0qWLHnjgAdXU1Gjs2LFavXq1OnfuHPXtAQAg3BwN9ZgxY2TbdrPPu1wuFRQUqKCgoNk1MTExWrp0qZYuXRqBCQEAcJax31EDAABCDQCA0Qg1AAAGI9QAABiMUAMAYDBCDQCAwQg1AAAGI9QAABiMUAMAYDDjL3MJmMCyLHm93oDWlpaWRngaAB0JoQZaYFmW+g/IkFVZ0fLi/1FfXx+hiQB0JIQaaIHX65VVWaHx+SsV40lqcX3lqSP6oCiPUAMIC0INBCjGk6QeCX1aXFdjnY3CNAA6Cg4mAwDAYIQaAACDEWoAAAxGqAEAMBihBgDAYBz1jXYjmJOSSFJsbKw8Hk8EJwKA1iPUaBdCOSmJp1eCjh8rIdYAjEao0S4Ee1KSWuuMigtz5fV6CTUAoxFqtCuBnpQEANoKDiYDAMBghBoAAIMRagAADEaoAQAwGKEGAMBghBoAAIMRagAADEaoAQAwGKEGAMBghBoAAIMRagAADEaoAQAwGKEGAMBghBoAAIMRagAADEaoAQAwGKEGAMBghBoAAIMRagAADEaoAQAwGKEGAMBghBoAAIMRagAADEaoAQAwGKEGAMBghBoAAIMRagAADNbF6QEAJ5WWloZlDQBECqFGh3ShtlpydVJmZmbAr6mvr4/gRABwZYQaHdJFX61kN2h03grFJ6VedW3lqSP6oCiPUANwBKFGhxYT31s9EvpcdU2NdTZK0wBAUxxMBgCAwQg1AAAGI9QAABiMUAMAYDBCDQCAwQg1AAAGI9QAABiMUAMAYDBCDQCAwQg1AAAGI9QAABiMUAMAYDBCDQCAwQg1AAAGI9QAABiMUAMAYDBCDQCAwQg1AAAGI9QAABiMUAMAYDBCDQCAwQg1AAAGI9QAABiMUAMAYDBCDQCAwQg1AAAGMzrUBQUFcrlcjW4pKSn+523bVkFBgdLS0tS9e3eNGTNGhw8fdnBiAADCy+hQS9JNN92k0tJS/+3gwYP+5xYuXKhFixapqKhIe/bsUUpKisaPH6/z5887ODEAAOHTxekBWtKlS5dGe9GX2LatJUuWaN68eZo6daokac2aNUpOTta6des0ffr0Zt/T5/PJ5/P571dVVYV/cAAAwsD4PeojR44oLS1NGRkZevDBB/XFF19IkkpKSlRWVqbs7Gz/WrfbrdGjR2vXrl1Xfc/CwkJ5PB7/LT09PaLbAABAqIzeox4xYoReffVVDRo0SF999ZWef/55jRo1SocPH1ZZWZkkKTk5udFrkpOTdfz48au+b35+vubOneu/X1VVRawBtDmlpaUBr42NjZXH44ngNIgUo0Odk5Pj/+uhQ4dq5MiRuu6667RmzRrdfvvtkiSXy9XoNbZtN3nscm63W263O/wDA0AUXKitllydlJmZGfBrPL0SdPxYCbFug4wO9eV69uypoUOH6siRI5oyZYokqaysTKmpqf415eXlTfayYQbLsuT1egNezx4AcGUXfbWS3aDReSsUn5Ta4vpa64yKC3N15MiRRn9eXg3//ZmjTYXa5/Ppk08+0Z133qmMjAylpKSouLhYt956qySprq5O27dv1x//+EeHJ8XlLMtS/wEZsiorAn4NewDA1cXE91aPhD4trmMPvG0zOtR5eXmaNGmS+vXrp/Lycj3//POqqqrStGnT5HK5NGfOHC1YsEADBw7UwIEDtWDBAvXo0UMPPfSQ06PjMl6vV1Zlhcbnr1SMJ6nF9Zf2ALxeL39QAK0U6h44//2ZwehQnzp1Sj/+8Y915swZ9enTR7fffrt2796t/v37S5Kefvpp1dTU6IknnlBFRYVGjBihTZs2KS4uzuHJ0ZwYT1JAewAAwi/QPXCYxehQr1+//qrPu1wuFRQUqKCgIDoDAQAQZcb/jhoAgI6MUAMAYDBCDQCAwQg1AAAGI9QAABiMUAMAYDBCDQCAwQg1AAAGI9QAABiMUAMAYDBCDQCAwYw+1zfMF+g1pktLS6MwDQC0P4QaIQvlGtP19fURnAgA2h9CjZAFc43pylNH9EFRHqEGgCARarRaINeYrrHORmkaAGhfOJgMAACDsUcNowV6EBoHqwForwg1jHShtlpydVJmZmZQr+M7cADtDaGGkS76aiW7QaPzVig+KbXF9RysBqC9ItQwWkx87xYPVJM4WA1A+0Wo0UigJzCR+F4YAKKBUMMvlBOYSHwvDACRRKjhF8wJTCS+FwaAaCDUaCKQE5hIfC8MANHACU8AADAYe9QAgFYJ5iBUSYqNjZXH44ngRO0LoQYAhCyUg1A9vRJ0/FgJsQ4QoQYAhCzYg1BrrTMqLsyV1+sl1AEi1ACAVgv0IFQEj4PJAAAwGKEGAMBgfPQNALiiQE4TzKmEI49QAwAaCeUys5yhMHIINQCgkWAuM8uphCOPUAMAriiQy8xyKuHI42AyAAAMRqgBADAYoQYAwGCEGgAAgxFqAAAMRqgBADAYoQYAwGCEGgAAg3HCk3bOsix5vd6A1nLOXgAwD6FuxyzLUv8BGbIqK4J6HacCBABzEOp2zOv1yqqs0Pj8lYrxJLW4nnP2AoB5CHUHEONJavF8vRLn7AUAE3EwGQAABiPUAAAYjFADAGAwQg0AgMEINQAABiPUAAAYjFADAGAwQg0AgMEINQAABuPMZAAAowVzcSFJio2NlcfjieBE0UWoAQDGCuXiQp5eCTp+rKTdxJpQtzFcthJARxLsxYVqrTMqLsyV1+sl1Ig+LlsJoKMK9OJC7RGhbkO4bCWA9iLQT/z4ZJBQt0lcthJAW3WhtlpydVJmZmZQr+vIOxyEGgAQNRd9tZLdoNF5KxSflNriej4ZJNQAAAfExPfmk8EAccITAAAMxh61w/i5FQDgagi1g/i5FQCgJYTaQfzcCgDQEkJtAH5uBQBoDgeTAQBgMEINAIDBCDUAAAYj1AAAGIxQAwBgMEINAIDBCDUAAAbjd9QREOhpQTklKABERqB/vsbGxsrj8UR4mtYh1GEWymlBOdMYAIRHsNe79vRK0PFjJUbHmlCHWTCnBeWUoAAQXsFc77rWOqPiwlwdOXJEqaktXxtbcmYPvN2EetmyZfrTn/6k0tJS3XTTTVqyZInuvPNOx+YJ5LSgnBIUACIjkOtdB7v3LTmzB94uQv3GG29ozpw5WrZsmb73ve/p5ZdfVk5Ojj7++GP169fP6fEAAAYKZu9b+v974F6vl1AHa9GiRcrNzdWjjz4qSVqyZInee+89LV++XIWFhU3W+3w++Xw+/33LsiRJVVVVrZ7l/PnzkiRv+UldqP2/q66tPnv6m7Vfn5Kr4WKL792W15s0S7DrTZol2PUmzRLsepNmifR6k2YJdr1JswS7/tLai76aFv+8vrRO+ubP+XD0QpLi4uLkcrmuvshu43w+n925c2f7zTffbPT4k08+ad91111XfM38+fNtSdy4cePGjZujN8uyWuxcm9+jPnPmjOrr65WcnNzo8eTkZJWVlV3xNfn5+Zo7d67/fkNDg86dO6fevXu3/P9sAlRVVaX09HSdPHlS8fHxYXnPtoTtZ/vZfra/o26/FPjfg7i4uBbfq82H+pLLA2vbdrPRdbvdcrvdjR7r1atXROaKj4/vsP+iSmw/28/2s/0dd/ul8Pw9aPNnJktKSlLnzp2b7D2Xl5c32csGAKCtafOh7tatm4YNG6bi4uJGjxcXF2vUqFEOTQUAQHi0i4++586dq4cffljDhw/XyJEj9corr+jEiROaMWOGYzO53W7Nnz+/yUfsHQXbz/az/Wx/R91+Kbx/D1y2bdthmMlxy5Yt08KFC1VaWqohQ4Zo8eLFuuuuu5weCwCAVmk3oQYAoD1q899RAwDQnhFqAAAMRqgBADAYoQYAwGCEOgomT56sfv36KSYmRqmpqXr44Yd1+vRpp8eKimPHjik3N1cZGRnq3r27rrvuOs2fP191dXVOjxY1v//97zVq1Cj16NEjYmfAM82yZcuUkZGhmJgYDRs2TB988IHTI0XNjh07NGnSJKWlpcnlcumtt95yeqSoKSwsVGZmpuLi4tS3b19NmTJFn332mdNjRc3y5ct18803+89GNnLkSP3rX/9q9fsS6ijIysrS3//+d3322Wf6xz/+oc8//1w//OEPnR4rKj799FM1NDTo5Zdf1uHDh7V48WKtWLFCzzzzjNOjRU1dXZ3uv/9+Pf74406PEhWXLjs7b948ffTRR7rzzjuVk5OjEydOOD1aVFRXV+uWW25RUVGR06NE3fbt2zVz5kzt3r1bxcXFunjxorKzs1VdXe30aFFxzTXX6A9/+IP27t2rvXv36u6779a9996rw4cPt+6NW3v1KgRv48aNtsvlsuvq6pwexRELFy60MzIynB4j6latWmV7PB6nx4i42267zZ4xY0ajx7797W/bv/71rx2ayDmS7A0bNjg9hmPKy8ttSfb27dudHsUxCQkJ9l/+8pdWvQd71FF27tw5vf766xo1apS6du3q9DiOsCxLiYmJTo+BCKirq9O+ffuUnZ3d6PHs7Gzt2rXLoangFMuyJKlD/vdeX1+v9evXq7q6WiNHjmzVexHqKPnVr36lnj17qnfv3jpx4oQ2btzo9EiO+Pzzz7V06VJHT++KyAnlsrNon2zb1ty5c3XHHXdoyJAhTo8TNQcPHlRsbKzcbrdmzJihDRs2aPDgwa16T0IdooKCArlcrqve9u7d61//y1/+Uh999JE2bdqkzp0766c//ansNnxSuGC3X5JOnz6te+65R/fff78effRRhyYPj1C2vyMJ5rKzaJ9mzZqlAwcO6G9/+5vTo0TVDTfcoP3792v37t16/PHHNW3aNH388cetes92cVEOJ8yaNUsPPvjgVdcMGDDA/9dJSUlKSkrSoEGDdOONNyo9PV27d+9u9UciTgl2+0+fPq2srCz/RVPaumC3v6PgsrOQpNmzZ+vtt9/Wjh07dM011zg9TlR169ZN119/vSRp+PDh2rNnj/785z/r5ZdfDvk9CXWILoU3FJf2pH0+XzhHiqpgtv/LL79UVlaWhg0bplWrVqlTp7b/QU5r/vm3Z/972dn77rvP/3hxcbHuvfdeBydDNNi2rdmzZ2vDhg3atm2bMjIynB7JcbZtt/rPekIdYR9++KE+/PBD3XHHHUpISNAXX3yhZ599Vtddd12b3ZsOxunTpzVmzBj169dPL7zwgr7++mv/cykpKQ5OFj0nTpzQuXPndOLECdXX12v//v2SpOuvv16xsbHODhcBJl52Npq8Xq+OHj3qv19SUqL9+/crMTFR/fr1c3CyyJs5c6bWrVunjRs3Ki4uzv/JisfjUffu3R2eLvKeeeYZ5eTkKD09XefPn9f69eu1bds2vfvuu61741Yfe46rOnDggJ2VlWUnJibabrfbHjBggD1jxgz71KlTTo8WFatWrbIlXfHWUUybNu2K279161anR4uYl156ye7fv7/drVs3+7vf/W6H+nnO1q1br/jPe9q0aU6PFnHN/be+atUqp0eLip/97Gf+f+/79Oljjx071t60aVOr35fLXAIAYLC2/2UhAADtGKEGAMBghBoAAIMRagAADEaoAQAwGKEGAMBghBoAAIMRagAADEaoAQAwGKEGAMBghBoAAIP9P+jO7RE/p6sAAAAAAElFTkSuQmCC",
+      "text/plain": [
+       "<Figure size 500x500 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/home/jonathan/anaconda3/envs/fdiff/lib/python3.10/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
+      "  if pd.api.types.is_categorical_dtype(vector):\n",
+      "/home/jonathan/anaconda3/envs/fdiff/lib/python3.10/site-packages/seaborn/_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n",
+      "  with pd.option_context('mode.use_inf_as_na', True):\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 500x500 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/home/jonathan/anaconda3/envs/fdiff/lib/python3.10/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
+      "  if pd.api.types.is_categorical_dtype(vector):\n",
+      "/home/jonathan/anaconda3/envs/fdiff/lib/python3.10/site-packages/seaborn/_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n",
+      "  with pd.option_context('mode.use_inf_as_na', True):\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 500x500 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/home/jonathan/anaconda3/envs/fdiff/lib/python3.10/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
+      "  if pd.api.types.is_categorical_dtype(vector):\n",
+      "/home/jonathan/anaconda3/envs/fdiff/lib/python3.10/site-packages/seaborn/_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n",
+      "  with pd.option_context('mode.use_inf_as_na', True):\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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AQxHSAAAYipAGAMBQhDQAAIbqY3cBABCu6t1uDRk+MnC7p74bq0FPREgDQJDaLEsTCt4I2L5j+be6sRr0REEtd3/1q1/VpUuXbjr+2Wef6atf/WqniwIAAEGG9Mcff6y2trabjnu9Xn3yySedLgoAAHRwufudd97x/XnPnj2Ki4vz7be1ten999/XkCFDQlYcAAC9WYdCevbs2ZIkh8OhefPm+bVFRkZqyJAh+slPfhKy4gAA6M06FNLXr1+XJKWnp+vo0aNKTEzskqIAAECQV3fX1taGug4AAHCDoG/Bev/99/X+++/L4/H4Zth/8q//+q+dLgwAgN4uqJB++eWX9corr2js2LFKSUmRw+EIdV0AAPR6QYX066+/rs2bN+vpp58OdT0AAOD/BHWfdGtrqzIzM0NdCwAA+IKgQnrhwoXavn17qGsBAABfENRy9//+7//qZz/7mfbt26d7771XkZGRfu3r1q0LSXEAAPRmQYX0yZMndd9990mSTp8+7dfGRWQAAIRGUCFdWVkZ6joAAMANgvpMGgAAdL2gZtJZWVm3XNbev39/0AUBAIA/Cmomfd9992n06NG+bcSIEWptbdWvf/1rjRo16o7Pc+jQIT388MNKTU2Vw+HQ22+/7dc+f/58ORwOv23ChAl+fbxer3Jzc5WYmKh+/fpp1qxZOn/+fDDDAgDAKEHNpEtKSto9XlRUpObm5js+z9WrVzV69Gj9/d//vR577LF2+zz00EMqKyvz7UdFRfm15+Xl6d1331V5ebkSEhK0fPlyzZw5UzU1NYqIiLjjWgAAME3Qz+5uz9/+7d/q61//utauXXtH/XNycpSTk3PLPk6nUy6Xq922xsZGbdq0SVu3btW0adMkSdu2bVNaWpr27dunGTNmdGwAAAAYJKQXjh05ckTR0dGhPKUOHDigpKQkDR8+XM8884w8Ho+vraamRteuXVN2drbvWGpqqjIyMlRVVRXwnF6vV01NTX4bAACmCWomPWfOHL99y7JUV1enY8eO6Xvf+15ICpP+ONN+/PHHNXjwYNXW1up73/ueHnzwQdXU1MjpdMrtdisqKkoDBgzw+7rk5GS53e6A5y0uLtbLL78csjoBAOgKQYV0XFyc3/6XvvQl3XPPPXrllVf8ZrWd9cQTT/j+nJGRobFjx2rw4MH6xS9+cdMvCl9kWdYtrz4vLCxUfn6+b7+pqUlpaWmhKRoAgBAJKqS/eCFXd0pJSdHgwYP14YcfSpJcLpdaW1vV0NDgN5v2eDy3fAGI0+mU0+ns8noBAOiMTn0mXVNTo23btunNN9/U8ePHQ1VTQJcuXdK5c+eUkpIiSRozZowiIyNVUVHh61NXV6fTp0/zli4AQNgLaibt8Xj05JNP6sCBA/rKV74iy7LU2NiorKwslZeX66677rqj8zQ3N+ujjz7y7dfW1urEiROKj49XfHy8ioqK9NhjjyklJUUff/yxXnzxRSUmJurRRx+V9Mdl9wULFmj58uVKSEhQfHy8CgoKNGrUKN/V3gAAhKugZtK5ublqamrSmTNndPnyZTU0NOj06dNqamrSc889d8fnOXbsmO6//37df//9kqT8/Hzdf//9eumllxQREaFTp07pkUce0fDhwzVv3jwNHz5cR44cUWxsrO8cJSUlmj17tubOnatvfOMb6tu3r959913ukQYAhL2gZtK7d+/Wvn379Od//ue+YyNGjNCrr77aoQvHpkyZIsuyArbv2bPntueIjo5WaWmpSktL7/j7AgAQDoKaSV+/fv2md0hLUmRkpK5fv97pogAAQJAh/eCDD+r555/XhQsXfMc++eQTvfDCC5o6dWrIigMAoDcLKqQ3bNigK1euaMiQIRo6dKjuvvtupaen68qVKyw7AwAQIkF9Jp2WlqZf//rXqqio0O9+9ztZlqURI0ZwRTUAACHUoZn0/v37NWLECN+zrqdPn67c3Fw999xzGjdunEaOHKlf/vKXXVIoAAC9TYdCev369XrmmWfUv3//m9ri4uK0aNEirVu3LmTFAQDQm3UopP/7v/9bDz30UMD27Oxs1dTUdLooAADQwZCur69v99arP+nTp48+/fTTThcFAAA6eOHYn/3Zn+nUqVO6++67220/efKk77naAIDA6t1uDRk+MmD75csXFR+fGPjrPfVdURYM06GQ/su//Eu99NJLysnJUXR0tF9bS0uLVq1apZkzZ4a0QADoidosSxMK3gjYvmP5t27bjp6vQyH93e9+Vzt27NDw4cO1bNky3XPPPXI4HPrtb3+rV199VW1tbVq5cmVX1QoAQK/SoZBOTk5WVVWVnn32WRUWFvqeu+1wODRjxgxt3LhRycnJXVIoAAC9TYcfZjJ48GC99957amho0EcffSTLsjRs2DANGDCgK+oDAKDXCuqJY5I0YMAAjRs3LpS1AACALwjq2d0AAKDrEdIAABiKkAYAwFCENAAAhiKkAQAwFCENAIChCGkAAAxFSAMAYChCGgAAQxHSAAAYipAGAMBQhDQAAIYipAEAMFTQb8ECAJir3u3WkOEjA7anuJJ05FBlN1aEYBDSANADtVmWJhS8EbC9eu3CbqwGwWK5GwAAQxHSAAAYipAGAMBQhDQAAIYipAEAMBQhDQCAoQhpAAAMRUgDAGAoQhoAAEMR0gAAGIqQBgDAUIQ0AACGIqQBADAUIQ0AgKEIaQAADEVIAwBgKEIaAABDEdIAABiKkAYAwFCENAAAhiKkAQAwFCENAIChCGkAAAxFSAMAYKg+dhcAAIFMnJSlOrcnYHu9p74bqwG6HyENwFh1bo8mFLwRsH3H8m91YzVA92O5GwAAQxHSAAAYipAGAMBQhDQAAIYipAEAMBQhDQCAoQhpAAAMRUgDAGAoW0P60KFDevjhh5WamiqHw6G3337br92yLBUVFSk1NVUxMTGaMmWKzpw549fH6/UqNzdXiYmJ6tevn2bNmqXz58934ygAAOgatob01atXNXr0aG3YsKHd9jVr1mjdunXasGGDjh49KpfLpenTp+vKlSu+Pnl5edq5c6fKy8t1+PBhNTc3a+bMmWpra+uuYQAA0CVsfSxoTk6OcnJy2m2zLEvr16/XypUrNWfOHEnSli1blJycrO3bt2vRokVqbGzUpk2btHXrVk2bNk2StG3bNqWlpWnfvn2aMWNGu+f2er3yer2+/aamphCPDACAzjP2M+na2lq53W5lZ2f7jjmdTk2ePFlVVVWSpJqaGl27ds2vT2pqqjIyMnx92lNcXKy4uDjflpaW1nUDAQAgSMaGtNvtliQlJyf7HU9OTva1ud1uRUVFacCAAQH7tKewsFCNjY2+7dy5cyGuHgCAzjP+LVgOh8Nv37Ksm47d6HZ9nE6nnE5nSOoDAKCrGDuTdrlcknTTjNjj8fhm1y6XS62trWpoaAjYBwCAcGVsSKenp8vlcqmiosJ3rLW1VQcPHlRmZqYkacyYMYqMjPTrU1dXp9OnT/v6AAAQrmxd7m5ubtZHH33k26+trdWJEycUHx+vQYMGKS8vT6tXr9awYcM0bNgwrV69Wn379tVTTz0lSYqLi9OCBQu0fPlyJSQkKD4+XgUFBRo1apTvam8AAMKVrSF97NgxZWVl+fbz8/MlSfPmzdPmzZu1YsUKtbS0aMmSJWpoaND48eO1d+9excbG+r6mpKREffr00dy5c9XS0qKpU6dq8+bNioiI6PbxAEC4qHe7NWT4yIDtKa4kHTlU2Y0VoT22hvSUKVNkWVbAdofDoaKiIhUVFQXsEx0drdLSUpWWlnZBhQDQM7VZliYUvBGwvXrtwm6sBoEY+5k0AAC9HSENAIChCGkAAAxFSAMAYChCGgAAQxHSAAAYipAGAMBQhDQAAIYipAEAMBQhDQCAoQhpAAAMRUgDAGAoQhoAAEMR0gAAGIqQBgDAUIQ0AACGIqQBADAUIQ0AgKEIaQAADEVIAwBgKEIaAABDEdIAABiKkAYAwFCENAAAhiKkAQAwFCENAIChCGkAAAxFSAMAYChCGgAAQxHSAAAYipAGAMBQhDQAAIYipAEAMBQhDQCAoQhpAAAMRUgDAGAoQhoAAEMR0gAAGIqQBgDAUH3sLgAAYJ56t1tDho9sty3FlaQjhyq7uaLeiZAGANykzbI0oeCNdtuq1y7s5mp6L5a7AQAwFCENAIChCGkAAAxFSAMAYChCGgAAQxHSAAAYipAGAMBQhDQAAIYipAEAMBQhDQCAoQhpAAAMRUgDAGAoQhoAAEMR0gAAGIqQBgDAUIQ0AACGIqQBADAUIQ0AgKEIaQAADEVIAwBgKEIaAABDGR3SRUVFcjgcfpvL5fK1W5aloqIipaamKiYmRlOmTNGZM2dsrBgAgNAxOqQlaeTIkaqrq/Ntp06d8rWtWbNG69at04YNG3T06FG5XC5Nnz5dV65csbFiAABCw/iQ7tOnj1wul2+76667JP1xFr1+/XqtXLlSc+bMUUZGhrZs2aL/+Z//0fbt222uGgCAzjM+pD/88EOlpqYqPT1dTz75pP7whz9Ikmpra+V2u5Wdne3r63Q6NXnyZFVVVd3ynF6vV01NTX4bAACmMTqkx48fr5///Ofas2eP/uVf/kVut1uZmZm6dOmS3G63JCk5Odnva5KTk31tgRQXFysuLs63paWlddkYAAAIVh+7C7iVnJwc359HjRqliRMnaujQodqyZYsmTJggSXI4HH5fY1nWTcduVFhYqPz8fN9+U1MTQQ3YZOKkLNW5Pe221Xvqu7ka3Il6t1tDho8M2J7iStKRQ5XdWFHPZXRI36hfv34aNWqUPvzwQ82ePVuS5Ha7lZKS4uvj8Xhuml3fyOl0yul0dmWpAO5QndujCQVvtNu2Y/m3urka3Ik2ywr4M5Ok6rULu7Gans3o5e4beb1e/fa3v1VKSorS09PlcrlUUVHha29tbdXBgweVmZlpY5UAAISG0TPpgoICPfzwwxo0aJA8Ho++//3vq6mpSfPmzZPD4VBeXp5Wr16tYcOGadiwYVq9erX69u2rp556yu7SAQDoNKND+vz58/rrv/5rXbx4UXfddZcmTJig6upqDR48WJK0YsUKtbS0aMmSJWpoaND48eO1d+9excbG2lw5AACdZ3RIl5eX37Ld4XCoqKhIRUVF3VMQAADdyOiQBgDgRre6I0DqWVeXE9IAgLByqzsCpJ51dTkhDaBL3W7Ww73QQGCENIAudbtZD/dCA4GF1X3SAAD0JoQ0AACGIqQBADAUIQ0AgKG4cAxAp3D1NtB1CGkAncLV20DXIaQBAD3Krd53HW5PIyOkAQA9yq3edx1uTyPjwjEAAAxFSAMAYChCGgAAQ/GZNADAKNzW9/8R0gCAbnUnIfzImncDtvem2/oIaQBAt+Le+jvHZ9IAABiKkAYAwFCENAAAhiKkAQAwFBeOAQBC6lbPzpZ61y1UnUVIAwBC6lbPzpa4ersjWO4GAMBQhDQAAIYipAEAMBQhDQCAoQhpAAAMRUgDAGAoQhoAAENxnzSAW+LdvoB9CGkAt8RrBQH7sNwNAIChmEkDIXC7JeEUV5KOHKrsxooA9ASENBACt1sSrl67sBurAdBTsNwNAIChCGkAAAzFcjfQw/F5ORC+CGmgh+PzciB8sdwNAIChmEkDPcCtlrRv90SwerdbQ4aPDNzOE8UA2xDSQA9wqyXt2z0RrM2yeKIYYChCGvg/t5qNcnEV0DPcbuXItH/rhDR6jM5exXyr2SgXVwE9w+1Wjkz7t05Io8fgKmYAPQ1XdwMAYChm0oABeOAIgPYQ0oABWKoH0B6WuwEAMBQhDQCAoQhpAAAMxWfS6DXC+fGX4Vw7gOAR0mGGq4CD15nHX9odkjy6E+idCOkww1XA9iAkAdiBz6QBADAUM2kYg6V8APBHSMMYLOUDgD+WuwEAMBQzaQAA/o9p75smpHuY2/0Fu3z5ouLjEwO2m/y5r923QQHo+Ux73zQh3cPcya1CJv0F7AhugwLQ2xDShrndFc52zxZvVV84z9IBwEQ9JqQ3btyoH//4x6qrq9PIkSO1fv16ffOb37S7rA673RXOXT1bvJMl5UfWvNtu2+1m6bsKZvba5WqW6gEEo0eE9FtvvaW8vDxt3LhR3/jGN/TTn/5UOTk5+s1vfqNBgwbZXV5Y6col5d68XN2bxw4geD0ipNetW6cFCxZo4cI/fp66fv167dmzR6+99pqKi4tv6u/1euX1en37jY2NkqSmpqaQ1DP1oW+pvv7TgO0NDZc0YEBCu22eix5da7ka8GstyzK23eTaOttucm23aze5ttu1m1xbZ9tNru127SbXdrv2zp77eltbyLJCkmJjY+VwOAJ3sMKc1+u1IiIirB07dvgdf+6556xJkya1+zWrVq2yJLGxsbGxsdm6NTY23jLjwn4mffHiRbW1tSk5OdnveHJystxud7tfU1hYqPz8fN/+9evXdfnyZSUkJPh+o2lqalJaWprOnTun/v37d90AuhFjCg+MKTz0tDH1tPFI4TGm2NjYW7aHfUj/yY3LBZZlBVxCcDqdcjqdfse+8pWvtNu3f//+xv5wg8WYwgNjCg89bUw9bTxSeI8p7B8LmpiYqIiIiJtmzR6P56bZNQAA4STsQzoqKkpjxoxRRUWF3/GKigplZmbaVBUAAJ3XI5a78/Pz9fTTT2vs2LGaOHGifvazn+ns2bNavHhx0Od0Op1atWrVTcvi4YwxhQfGFB562ph62niknjEmh2VZlt1FhMLGjRu1Zs0a1dXVKSMjQyUlJZo0aZLdZQEAELQeE9IAAPQ0Yf+ZNAAAPRUhDQCAoQhpAAAMRUgDAGAoQvoODBkyRA6Hw2/7zne+Y3dZIeH1enXffffJ4XDoxIkTdpfTKbNmzdKgQYMUHR2tlJQUPf3007pw4YLdZQXt448/1oIFC5Senq6YmBgNHTpUq1atUmtrq92ldcoPfvADZWZmqm/fvgGf9Ge6jRs3Kj09XdHR0RozZox++ctf2l1Spxw6dEgPP/ywUlNT5XA49Pbbb9tdUqcUFxdr3Lhxio2NVVJSkmbPnq0PPvjA7rKCQkjfoVdeeUV1dXW+7bvf/a7dJYXEihUrlJqaancZIZGVlaV///d/1wcffKD//M//1O9//3v91V/9ld1lBe13v/udrl+/rp/+9Kc6c+aMSkpK9Prrr+vFF1+0u7ROaW1t1eOPP65nn33W7lKC8qdX465cuVLHjx/XN7/5TeXk5Ojs2bN2lxa0q1evavTo0dqwYYPdpYTEwYMHtXTpUlVXV6uiokKff/65srOzdfVq4LdbGSsUb6Lq6QYPHmyVlJTYXUbIvffee9bXvvY168yZM5Yk6/jx43aXFFK7du2yHA6H1draancpIbNmzRorPT3d7jJCoqyszIqLi7O7jA77+te/bi1evNjv2Ne+9jXrO9/5jk0VhZYka+fOnXaXEVIej8eSZB08eNDuUjqMmfQd+tGPfqSEhATdd999+sEPfhD2S4719fV65plntHXrVvXt29fuckLu8uXLevPNN5WZmanIyEi7ywmZxsZGxcfH211Gr9Xa2qqamhplZ2f7Hc/OzlZVVZVNVeF2GhsbJSks/+0Q0nfg+eefV3l5uSorK7Vs2TKtX79eS5YssbusoFmWpfnz52vx4sUaO3as3eWE1Le//W3169dPCQkJOnv2rHbt2mV3SSHz+9//XqWlpZ163C06J5hX48JelmUpPz9fDzzwgDIyMuwup8N6bUgXFRXddDHYjduxY8ckSS+88IImT56se++9VwsXLtTrr7+uTZs26dKlSzaPwt+djqm0tFRNTU0qLCy0u+Tb6sjPSZL+8R//UcePH9fevXsVERGhv/u7v5Nl2EP1OjomSbpw4YIeeughPf7441q4cKFNlQcWzJjCWUdejQt7LVu2TCdPntS//du/2V1KUHrtY0EvXryoixcv3rLPkCFDFB0dfdPxTz75RAMHDlR1dbXGjx/fVSV22J2O6cknn9S7777r959KW1ubIiIi9Dd/8zfasmVLV5d6xzrzczp//rzS0tJUVVWliRMndlWJHdbRMV24cEFZWVkaP368Nm/erC99ybzfrYP5OW3evFl5eXn67LPPuri60GltbVXfvn31H//xH3r00Ud9x59//nmdOHFCBw8etLG60HA4HNq5c6dmz55tdymdlpubq7fffluHDh1Senq63eUEpUe8BSsYiYmJSkxMDOprjx8/LklKSUkJZUmddqdj+ud//md9//vf9+1fuHBBM2bM0FtvvWXULx1S535Of/r90+v1hrKkTuvImD755BNlZWVpzJgxKisrMzKgpc79nMLJF1+N+8WQrqio0COPPGJjZfgiy7KUm5urnTt36sCBA2Eb0FIvDuk7deTIEVVXVysrK0txcXE6evSoXnjhBd89ueHoxrq//OUvS5KGDh2qgQMH2lFSp/3qV7/Sr371Kz3wwAMaMGCA/vCHP+ill17S0KFDjZpFd8SFCxc0ZcoUDRo0SGvXrtWnn37qa3O5XDZW1jlnz57V5cuXdfbsWbW1tfnuz7/77rt9fxdN1hWvxrVbc3OzPvroI99+bW2tTpw4ofj4+LD8f27p0qXavn27du3apdjYWN/1AnFxcYqJibG5ug6y78Ly8FBTU2ONHz/eiouLs6Kjo6177rnHWrVqlXX16lW7SwuZ2trasL8F6+TJk1ZWVpYVHx9vOZ1Oa8iQIdbixYut8+fP211a0MrKyixJ7W7hbN68ee2OqbKy0u7S7tirr75qDR482IqKirL+4i/+Iixv7fmiysrKdn8m8+bNs7u0oAT6d1NWVmZ3aR3Waz+TBgDAdGZ+wAUAAAhpAABMRUgDAGAoQhoAAEMR0gAAGIqQBgDAUIQ0AACGIqQBADAUIQ0AgKEIaQAADEVIAwBgqP8HKBe2Zp1oB1sAAAAASUVORK5CYII=",
+      "text/plain": [
+       "<Figure size 500x500 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/home/jonathan/anaconda3/envs/fdiff/lib/python3.10/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
+      "  if pd.api.types.is_categorical_dtype(vector):\n",
+      "/home/jonathan/anaconda3/envs/fdiff/lib/python3.10/site-packages/seaborn/_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n",
+      "  with pd.option_context('mode.use_inf_as_na', True):\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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y3XPPPcrJydGpU6f01FNPKSMjQ3fffbckyeVyad68eVqyZImGDBmi9PR0LV26VOPHjw9fBQ50R3fuahXNV4C4ExaAjtga6oMHD6qwsDD8/PJ547lz52r9+vV677339Ktf/Urnz59XTk6OCgsLtWXLFqWlpYW3qaioUFJSkubMmaPm5mZNmzZNGzZs4DvUiKmu3NUqmq8AcScsAB2xNdRTpkyRZVkdLn/77be/8j0GDBigNWvWaM2aNbEcDQAAIxj99SwAAPo6Qg0AgMEINQAABiPUAAAYLKG+Rw0AiNSVH+Th/tqJhVADQILq6g/ypKSm6cMTx4l1giDUAJCguvKDPNxfO/EQagBIcNH8IA8SD6EGgE6I9sYpnAdGrBBqALiGC8GA5HCopKQkqu04D4xYIdQAcA2tzU2SZUV1kxXOAyOWCDUAdEI0N1kBYokfPAEAwGCEGgAAgxFqAAAM1qVQjxw5UufOnbvq9fPnz2vkSM7hAAAQK10K9alTp9TW1nbV66FQSJ988km3hwIAAF+I6qrv119/Pfyf3377bblcrvDztrY2vfPOOxoxYkTMhgMAoK+LKtSXv/DvcDg0d+7ciGXJyckaMWKEnnvuuZgNBwBAXxdVqC9duiRJysvL04EDB5SRkRGXoQAAwBe69IMnJ0+ejPUcAACgHV3+ZbJ33nlH77zzjvx+f/hI+7Jf/vKX3R4MAAB0MdTPPPOMfvSjH2nixInKycmRw+GI9VwAAEBdDPXPfvYzbdiwQffff3+s5wEAAF/Spe9Rt7S0qKCgINazAACAK3Qp1A899JA2bdoU61kAAMAVuvTR94ULF/Tzn/9cO3bs0De/+U0lJydHLF+1alVMhgMAoK/rUqiPHDmiv/iLv5AkHT16NGIZF5YBABA7XQr1rl27Yj0HAABoB7e5BADAYF06oi4sLLzmR9w7d+7s8kAAAOD/61KoL5+fvqy1tVWHDx/W0aNHr7pZBwAA6LouhbqioqLd18vKytTY2NitgQCgt6ipqYlqfbfbLY/HE6dpkKi6/Fvf7fm7v/s7ffvb39ZPf/rTWL4tACSUC8GA5HCEbw3cWSmpafrwxHFijQgxDfX//u//asCAAbF8SwBIOK3NTZJlaeKDzyjDO6pT2zT6a7V3/ZMKBAKEGhG6FOrZs2dHPLcsS2fPntXBgwf1r//6rzEZDAASXUrG9XJ5Rto9BhJcl0Ltcrkinl933XUaO3asfvSjH6moqCgmgwEAgC6GurKyMtZzAAAU3QVo0V6shsTUrXPU1dXV+uCDD+RwODRu3Dh961vfitVcANCndPUCNElqbWmN/UAwRpdC7ff7de+992r37t362te+JsuyVF9fr8LCQm3evFlDhw6N9ZwA0Kt15QK0T49X69CWCl1sa4vzdLBTl0JdWlqqhoYGHTt2TF//+tclSe+//77mzp2rxx9/XL/+9a9jOiQA9BXRXIAW9NfGeRqYoEuhfuutt7Rjx45wpCVp3Lhxev7557mYDACAGOrSTTkuXbp01T2oJSk5OVmXLl3q9lAAAOALXQr11KlT9Y//+I/y+Xzh1z755BP90z/9k6ZNmxaz4QAA6Ou6FOq1a9cqGAxqxIgRGjVqlG644Qbl5eUpGAxqzZo1sZ4RAIA+q0vnqL1er/7whz+oqqpKx48fl2VZGjdunKZPnx7r+QAA6NOiOqLeuXOnxo0bp4aGBknSHXfcodLSUj3++OOaNGmSvvGNb+h3v/tdXAYFAKAviirUq1ev1sMPP6zBgwdftczlcumRRx7RqlWrYjYcAAB9XVSh/r//+z/deeedHS4vKipSdXV1t4cCAABfiCrUn376abtfy7osKSlJn332WbeHAgAAX4gq1Ndff73ee++9DpcfOXJEOTk53R4KAAB8IapQf+c739EPf/hDXbhw4aplzc3NevrppzVz5syYDQcAQF8X1dez/uVf/kWvvvqqxowZo4ULF2rs2LFyOBz64IMP9Pzzz6utrU3Lly+P16wAAPQ5UYU6KytL+/bt0/z587Vs2TJZliVJcjgcmjFjhtatW6esrKy4DAoAQF8U9Q+eDB8+XG+++aYCgYBqampkWZZGjx4tt9sdj/kAAOjTuvTLZJLkdrs1adKkWM4CAACu0KXf+gYAAD2DUAMAYDBCDQCAwQg1AAAGI9QAABiMUAMAYDBCDQCAwQg1AAAGI9QAABiMUAMAYDBCDQCAwQg1AAAGI9QAABiMUAMAYDBCDQCAwQg1AAAGI9QAABiMUAMAYDBCDQCAwQg1AAAGI9QAABjM1lC/++67uuuuu+TxeORwOPTaa69FLLcsS2VlZfJ4PBo4cKCmTJmiY8eORawTCoVUWlqqjIwMpaSkaNasWaqtre3BvQAAIH5sDXVTU5NuuukmrV27tt3lK1eu1KpVq7R27VodOHBA2dnZuuOOOxQMBsPrLFq0SFu3btXmzZu1d+9eNTY2aubMmWpra+up3QAAIG6S7PzjxcXFKi4ubneZZVlavXq1li9frtmzZ0uSXnrpJWVlZWnTpk165JFHVF9frxdffFEbN27U9OnTJUkvv/yyvF6vduzYoRkzZrT73qFQSKFQKPy8oaEhxnsGAEBsGHuO+uTJk6qrq1NRUVH4NafTqdtvv1379u2TJFVXV6u1tTViHY/Ho/z8/PA67SkvL5fL5Qo/vF5v/HYEAIBuMDbUdXV1kqSsrKyI17OyssLL6urq1L9/f7nd7g7Xac+yZctUX18ffpw5cybG0wMAEBu2fvTdGQ6HI+K5ZVlXvXalr1rH6XTK6XTGZD4AAOLJ2FBnZ2dL+uKoOScnJ/y63+8PH2VnZ2erpaVFgUAg4qja7/eroKCgZwdGQvD5fAoEAp1ev6amJo7TAMBXMzbUeXl5ys7OVlVVlb71rW9JklpaWrRnzx795Cc/kSRNmDBBycnJqqqq0pw5cyRJZ8+e1dGjR7Vy5UrbZoeZfD6fxoy9UU2Nwa9e+QqtLa1xmAgAvpqtoW5sbIw4Yjl58qQOHz6s9PR0DRs2TIsWLdKKFSs0evRojR49WitWrNCgQYN03333SZJcLpfmzZunJUuWaMiQIUpPT9fSpUs1fvz48FXgwGWBQEBNjUFNnv+sUjNzO7XNp8erdWhLhS7ydT8ANrE11AcPHlRhYWH4+eLFiyVJc+fO1YYNG/TEE0+oublZjz32mAKBgG6++WZt375daWlp4W0qKiqUlJSkOXPmqLm5WdOmTdOGDRvUr1+/Ht8fJIbUzFy5PCM7tW7Qz4/nALCXraGeMmWKLMvqcLnD4VBZWZnKyso6XGfAgAFas2aN1qxZE4cJAQCwl7FfzwIAAIQaAACjEWoAAAxGqAEAMBihBgDAYIQaAACDEWoAAAxGqAEAMBihBgDAYIQaAACDEWoAAAxGqAEAMBihBgDAYIQaAACDEWoAAAxGqAEAMBihBgDAYIQaAACDEWoAAAxGqAEAMBihBgDAYIQaAACDEWoAAAyWZPcAQFf5fD4FAoFOr19TUxPHaQAgPgg1EpLP59OYsTeqqTEY9batLa1xmAgA4oNQIyEFAgE1NQY1ef6zSs3M7dQ2nx6v1qEtFbrY1hbn6QAgdgg1ElpqZq5cnpGdWjfor43zNAAQe1xMBgCAwQg1AAAGI9QAABiMUAMAYDBCDQCAwQg1AAAGI9QAABiMUAMAYDBCDQCAwQg1AAAGI9QAABiMUAMAYDBCDQCAwQg1AAAGI9QAABiMUAMAYDBCDQCAwQg1AAAGI9QAABiMUAMAYDBCDQCAwQg1AAAGI9QAABiMUAMAYDBCDQCAwQg1AAAGI9QAABgsye4BAAA9r6amJqr13W63PB5PnKbBtRBqAOhDLgQDksOhkpKSqLZLSU3ThyeOE2sbEGoA6ENam5sky9LEB59RhndUp7Zp9Ndq7/onFQgECLUNCDUA9EEpGdfL5Rlp9xjoBC4mAwDAYIQaAACDEWoAAAxGqAEAMBihBgDAYIQaAACDEWoAAAxGqAEAMBihBgDAYIQaAACDEWoAAAxGqAEAMBihBgDAYIQaAACDEWoAAAxGqAEAMBihBgDAYIQaAACDGR3qsrIyORyOiEd2dnZ4uWVZKisrk8fj0cCBAzVlyhQdO3bMxokBAIgto0MtSd/4xjd09uzZ8OO9994LL1u5cqVWrVqltWvX6sCBA8rOztYdd9yhYDBo48QAAMSO8aFOSkpSdnZ2+DF06FBJXxxNr169WsuXL9fs2bOVn5+vl156SX/+85+1adMmm6cGACA2jA/1Rx99JI/Ho7y8PN1777364x//KEk6efKk6urqVFRUFF7X6XTq9ttv1759+675nqFQSA0NDREPAABMZHSob775Zv3qV7/S22+/rf/8z/9UXV2dCgoKdO7cOdXV1UmSsrKyIrbJysoKL+tIeXm5XC5X+OH1euO2DwAAdIfRoS4uLtY999yj8ePHa/r06XrjjTckSS+99FJ4HYfDEbGNZVlXvXalZcuWqb6+Pvw4c+ZM7IcHACAGjA71lVJSUjR+/Hh99NFH4au/rzx69vv9Vx1lX8npdGrw4MERDwAATJRQoQ6FQvrggw+Uk5OjvLw8ZWdnq6qqKry8paVFe/bsUUFBgY1TAgAQO0l2D3AtS5cu1V133aVhw4bJ7/fr3//939XQ0KC5c+fK4XBo0aJFWrFihUaPHq3Ro0drxYoVGjRokO677z67RwcAICaMDnVtba3+9m//Vn/60580dOhQ3XLLLdq/f7+GDx8uSXriiSfU3Nysxx57TIFAQDfffLO2b9+utLQ0mycHACA2jA715s2br7nc4XCorKxMZWVlPTMQAAA9LKHOUQMA0NcQagAADEaoAQAwGKEGAMBghBoAAIMRagAADGb017MAAOaoqamJan232y2PxxOnafoOQg0AuKYLwYDkcKikpCSq7VJS0/ThiePEupsINQDgmlqbmyTL0sQHn1GGd1Sntmn012rv+icVCAQIdTcRagBAp6RkXC+XZ6TdY/Q5XEwGAIDBCDUAAAYj1AAAGIxQAwBgMEINAIDBCDUAAAbj61kwgs/nUyAQ6PT60f5CEgAkKkIN2/l8Po0Ze6OaGoNRb9va0hqHiQDAHIQatgsEAmpqDGry/GeVmpnbqW0+PV6tQ1sqdLGtLc7TAYC9CDWMkZqZ2+lfPQr6a+M8DQCYgYvJAAAwGKEGAMBghBoAAIMRagAADEaoAQAwGKEGAMBghBoAAIMRagAADEaoAQAwGKEGAMBg/IQoACBuor3TndvtlsfjidM0iYlQAwBi7kIwIDkcKikpiWq7lNQ0fXjiOLH+EkINAIi51uYmybI08cFnlOEd1altGv212rv+SQUCAUL9JYQaABA3KRnXd/queGgfoQYAGIXz2pEINQDACJzXbh+hBgAYgfPa7SPUAACjcF47Ej94AgCAwQg1AAAGI9QAABiMUAMAYDBCDQCAwQg1AAAGI9QAABiMUAMAYDBCDQCAwQg1AAAGI9QAABiMUAMAYDBCDQCAwQg1AAAGI9QAABiMUAMAYDBCDQCAwQg1AAAGI9QAABgsye4B0HN8Pp8CgUBU27jdbnk8njhNBAD4KoS6j/D5fBoz9kY1NQaj2m7goBS98d+/VWZmZqe3Ie4AEDuEuo8IBAJqagxq8vxnlZqZ26ltzp18Xwc2lmvq1KlR/a2U1DR9eOI4sQaAGCDUfUxqZq5cnpGdWjfor5UsSxMffEYZ3lGd2qbRX6u9659UIBAg1AAQA4QaXykl4/pOxx0AEFtc9Q0AgMEINQAABuOj7wQWzdetampq4jwNACAeCHWC6urXrVpbWuM0EQDYJ9qDkUT6GimhTlDRft3q0+PVOrSlQhfb2npgOgDoGReCAcnhUElJSVTbJdLXSAl1guvs162C/toemAYAelZrc1Ov/xopoQYAJLze/DVSQo24iOZ8ERe6AUDHCDViqqvniyQudAOA9hDqOOjLd6nqyvkiLnQDgI4R6hjrqbtUmf5xcTTni7jQDQA6RqhjrCfvUiXxcTEA9HaEOk7ifZcqPi4GgL6BUBuEj4sBAFfiphwAABis14R63bp1ysvL04ABAzRhwgT97ne/s3skAAC6rVd89L1lyxYtWrRI69at01/91V/phRdeUHFxsd5//30NGzbM7vEAAAZKlBt59IpQr1q1SvPmzdNDDz0kSVq9erXefvttrV+/XuXl5VetHwqFFAqFws/r6+slSQ0NDd2epbGxUZJ0vrZGF0N/7tQ2wU9Pf/H3fR8r+bpLcdmmJ/4G27CN6duYOhfb9Ow2n586IUlR/zDToJRU/aH6oHJycqLarj1paWlyOBydW9lKcKFQyOrXr5/16quvRrz++OOPW7fddlu72zz99NOWJB48ePDgwcOWR319fac7l/BH1H/605/U1tamrKysiNezsrJUV1fX7jbLli3T4sWLw88vXbqkzz//XEOGDOn8/4cTpYaGBnm9Xp05c0aDBw+Oy98wGfvP/rP/fXf/Jf4ZXLn/aWlpnd424UN92ZWBtSyrw+g6nU45nc6I1772ta/Fa7QIgwcP7pP/kl7G/rP/7H/f3X+JfwZd2f+Ev+o7IyND/fr1u+ro2e/3X3WUDQBAokn4UPfv318TJkxQVVVVxOtVVVUqKCiwaSoAAGKjV3z0vXjxYt1///2aOHGibr31Vv385z/X6dOn9eijj9o9WpjT6dTTTz991UfufQX7z/6z/313/yX+GXRn/x2WZVlxmKnHrVu3TitXrtTZs2eVn5+viooK3XbbbXaPBQBAt/SaUAMA0Bsl/DlqAAB6M0INAIDBCDUAAAYj1AAAGIxQ22DWrFkaNmyYBgwYoJycHN1///3y+Xx2j9UjTp06pXnz5ikvL08DBw7UqFGj9PTTT6ulpcXu0XrMj3/8YxUUFGjQoEE99ot4duurt6F99913ddddd8nj8cjhcOi1116ze6QeVV5erkmTJiktLU2ZmZkqKSnRiRMn7B6rx6xfv17f/OY3w79Gduutt+p//ud/on4fQm2DwsJC/eY3v9GJEyf0X//1X/r444/1N3/zN3aP1SOOHz+uS5cu6YUXXtCxY8dUUVGhn/3sZ3rqqafsHq3HtLS06Hvf+57mz59v9yg94vJtaJcvX65Dhw7pr//6r1VcXKzTp0/bPVrcNTU16aabbtLatWvtHsUWe/bs0YIFC7R//35VVVXp4sWLKioqUlNTk92j9Yjc3Fw9++yzOnjwoA4ePKipU6fqu9/9ro4dOxbdG3X1rlWInW3btlkOh8NqaWmxexRbrFy50srLy7N7jB5XWVlpuVwuu8eIu29/+9vWo48+GvHajTfeaD355JM2TWQPSdbWrVvtHsNWfr/fkmTt2bPH7lFs43a7rV/84hdRbcMRtc0+//xzvfLKKyooKFBycrLd49iivr5e6enpdo+BOGhpaVF1dbWKiooiXi8qKtK+fftsmgp2qa+vl6Q++b/3trY2bd68WU1NTbr11luj2pZQ2+Sf//mflZKSoiFDhuj06dPatm2b3SPZ4uOPP9aaNWuM+rlXxE5XbkOL3smyLC1evFiTJ09Wfn6+3eP0mPfee0+pqalyOp169NFHtXXrVo0bNy6q9yDUMVJWViaHw3HNx8GDB8Pr/+AHP9ChQ4e0fft29evXT3//938vK4F/JC7a/Zckn8+nO++8U9/73vf00EMP2TR5bHRl//uSaG5Di95p4cKFOnLkiH7961/bPUqPGjt2rA4fPqz9+/dr/vz5mjt3rt5///2o3qNX3JTDBAsXLtS99957zXVGjBgR/s8ZGRnKyMjQmDFj9PWvf11er1f79++P+iMRU0S7/z6fT4WFheGbqCS6aPe/r+A2tJCk0tJSvf7663r33XeVm5tr9zg9qn///rrhhhskSRMnTtSBAwf0H//xH3rhhRc6/R6EOkYuh7crLh9Jh0KhWI7Uo6LZ/08++USFhYWaMGGCKisrdd11if/BTnf+++/Nvnwb2rvvvjv8elVVlb773e/aOBl6gmVZKi0t1datW7V7927l5eXZPZLtLMuK+v/WE+oe9vvf/16///3vNXnyZLndbv3xj3/UD3/4Q40aNSphj6aj4fP5NGXKFA0bNkw//elP9dlnn4WXZWdn2zhZzzl9+rQ+//xznT59Wm1tbTp8+LAk6YYbblBqaqq9w8VBItyGNl4aGxtVU1MTfn7y5EkdPnxY6enpGjZsmI2T9YwFCxZo06ZN2rZtm9LS0sKfrLhcLg0cONDm6eLvqaeeUnFxsbxer4LBoDZv3qzdu3frrbfeiu6NYn7tOa7pyJEjVmFhoZWenm45nU5rxIgR1qOPPmrV1tbaPVqPqKystCS1++gr5s6d2+7+79q1y+7R4ub555+3hg8fbvXv39/6y7/8yz7z9Zxdu3a1+9/13Llz7R6tR3T0v/XKykq7R+sRDz74YPjf+6FDh1rTpk2ztm/fHvX7cJtLAAAMlvgnBwEA6MUINQAABiPUAAAYjFADAGAwQg0AgMEINQAABiPUAAAYjFADAGAwQg0AgMEINQAABiPUAAAY7P8BEVknrVUbv5AAAAAASUVORK5CYII=",
+      "text/plain": [
+       "<Figure size 500x500 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/home/jonathan/anaconda3/envs/fdiff/lib/python3.10/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
+      "  if pd.api.types.is_categorical_dtype(vector):\n",
+      "/home/jonathan/anaconda3/envs/fdiff/lib/python3.10/site-packages/seaborn/_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n",
+      "  with pd.option_context('mode.use_inf_as_na', True):\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 500x500 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/home/jonathan/anaconda3/envs/fdiff/lib/python3.10/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
+      "  if pd.api.types.is_categorical_dtype(vector):\n",
+      "/home/jonathan/anaconda3/envs/fdiff/lib/python3.10/site-packages/seaborn/_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n",
+      "  with pd.option_context('mode.use_inf_as_na', True):\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 500x500 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/home/jonathan/anaconda3/envs/fdiff/lib/python3.10/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
+      "  if pd.api.types.is_categorical_dtype(vector):\n",
+      "/home/jonathan/anaconda3/envs/fdiff/lib/python3.10/site-packages/seaborn/_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n",
+      "  with pd.option_context('mode.use_inf_as_na', True):\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 500x500 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/home/jonathan/anaconda3/envs/fdiff/lib/python3.10/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
+      "  if pd.api.types.is_categorical_dtype(vector):\n",
+      "/home/jonathan/anaconda3/envs/fdiff/lib/python3.10/site-packages/seaborn/_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n",
+      "  with pd.option_context('mode.use_inf_as_na', True):\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 500x500 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/home/jonathan/anaconda3/envs/fdiff/lib/python3.10/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
+      "  if pd.api.types.is_categorical_dtype(vector):\n",
+      "/home/jonathan/anaconda3/envs/fdiff/lib/python3.10/site-packages/seaborn/_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n",
+      "  with pd.option_context('mode.use_inf_as_na', True):\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 500x500 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/home/jonathan/anaconda3/envs/fdiff/lib/python3.10/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
+      "  if pd.api.types.is_categorical_dtype(vector):\n",
+      "/home/jonathan/anaconda3/envs/fdiff/lib/python3.10/site-packages/seaborn/_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n",
+      "  with pd.option_context('mode.use_inf_as_na', True):\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 500x500 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/home/jonathan/anaconda3/envs/fdiff/lib/python3.10/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
+      "  if pd.api.types.is_categorical_dtype(vector):\n",
+      "/home/jonathan/anaconda3/envs/fdiff/lib/python3.10/site-packages/seaborn/_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n",
+      "  with pd.option_context('mode.use_inf_as_na', True):\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 500x500 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/home/jonathan/anaconda3/envs/fdiff/lib/python3.10/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
+      "  if pd.api.types.is_categorical_dtype(vector):\n",
+      "/home/jonathan/anaconda3/envs/fdiff/lib/python3.10/site-packages/seaborn/_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n",
+      "  with pd.option_context('mode.use_inf_as_na', True):\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 500x500 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "for feat in range(0, 18):\n",
+    "    sns.displot(X_norm_dft[:, 0, feat].flatten())\n",
+    "    plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Genereated Samples"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "X_train = torch.load(Path.cwd() / \"../data/droughts/X_train.pt\")\n",
+    "\n",
+    "for idx in [666, 777, 42, 12]:\n",
+    "    max_val = torch.abs(X_train[idx]).max(dim=0)[0].max(dim=0)[0]\n",
+    "    sns.heatmap(X_train[idx].transpose(1, 0), cmap=\"RdBu_r\") #, vmin=-max_val, vmax=max_val)\n",
+    "    plt.xlabel(\"Time\")\n",
+    "    plt.ylabel(\"Feature\")\n",
+    "    plt.show()\n",
+    "    plt.close()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 29,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "X_sample = torch.load(Path.cwd() / \"../lightning_logs/fvs54bec/samples.pt\")\n",
+    "\n",
+    "for idx in [666, 777, 42, 12]:\n",
+    "    max_val = torch.abs(X_sample[idx]).max(dim=0)[0].max(dim=0)[0]\n",
+    "    sns.heatmap(X_sample[idx].transpose(1, 0), cmap=\"RdBu_r\") #, vmin=-max_val, vmax=max_val)\n",
+    "    plt.xlabel(\"Time\")\n",
+    "    plt.ylabel(\"Feature\")\n",
+    "    plt.show()\n",
+    "    plt.close()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 30,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "{'freq_marginal_wasserstein_all': [63.99716579913344,\n",
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+       "  5.576166883858528,\n",
+       "  10.287779565326947,\n",
+       "  8.049030413807124,\n",
+       "  2.9826428609872417,\n",
+       "  8.095533975810282,\n",
+       "  2.1502703548302735,\n",
+       "  3.681665012231544,\n",
+       "  6.398930797317504,\n",
+       "  3.4298666437427845,\n",
+       "  7.947600642095402,\n",
+       "  6.246038992891588,\n",
+       "  11.011195279425255,\n",
+       "  6.547095183497207,\n",
+       "  1.8322743654712628,\n",
+       "  4.630419348282668,\n",
+       "  6.674671326354643,\n",
+       "  12.4720063062192,\n",
+       "  5.476550825772757,\n",
+       "  1.109523197951913,\n",
+       "  2.3547842661908005,\n",
+       "  3.7543399939892828,\n",
+       "  1.2105303614177993],\n",
+       " 'time_sliced_wasserstein_max': 25.69160985226196,\n",
+       " 'time_sliced_wasserstein_max_dummy': 11.394650616230077,\n",
+       " 'time_sliced_wasserstein_max_self': 0.6169383959852249,\n",
+       " 'time_sliced_wasserstein_mean': 6.265869796097536,\n",
+       " 'time_sliced_wasserstein_mean_dummy': 4.054662988467046,\n",
+       " 'time_sliced_wasserstein_mean_self': 0.21772345384901973}"
+      ]
+     },
+     "execution_count": 30,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "with open(Path.cwd() / \"../lightning_logs/fvs54bec/results.yaml\") as f:\n",
+    "    results = safe_load(f)\n",
+    "results"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 32,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "(torch.Size([365, 16]), torch.Size([365, 16]))"
+      ]
+     },
+     "execution_count": 32,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "time_marginals = torch.tensor(results[\"time_marginal_wasserstein_all\"])\n",
+    "freq_marginals = torch.tensor(results[\"freq_marginal_wasserstein_all\"])\n",
+    "time_marginals = rearrange(time_marginals, \"(time feat) -> time feat\", feat=16)\n",
+    "freq_marginals = rearrange(freq_marginals, \"(freq feat) -> freq feat\", feat=16)\n",
+    "time_marginals.shape, freq_marginals.shape"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 33,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "tensor([ 63.9972, 230.0749, 214.5351, 211.1400, 202.5249, 252.4880,  85.3806,\n",
+       "        226.9565,  58.2769,  88.0479,  23.1518,  66.8132,  51.9997,  76.8713,\n",
+       "         26.9299,  53.6982])"
+      ]
+     },
+     "execution_count": 33,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "freq_marginals[0]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 34,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<Axes: >"
+      ]
+     },
+     "execution_count": 34,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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sdQY9XXWybAeXOwAAupi5I4cAEGTkM7zV5+2g2i/acohqHwDG/bEL3UfVjr/RfUQn3EX30acXtyHtdAF/t5zcm99Ux5VXO4uuGfySzXdH8qn2E9P54mcSUMoQrYROp2tqcMzMzMT333+PpUuX4vnnzxIQlZWVNVOZrKiouCDbcD4WLVqEl156qdlrsTfej7ghDxA+/U/44d29VPsAEKTlz2HrBdgPj2zaQ7VvqeDubKTww2puUAUAxt9MovuoqOM2nEYk8fkoTh3pGGya1lo+P0hEYm+q/ZMHJMIqPpTMQhvh8/ngdDqRmpoKk8mEnJwcDBgwAADgcrmQm5uLxYsXX/Tv58yZ0yRIdQ59n94IWx235th9VDLVPgDED+lP9xEUwm1GA4AbR4+h2l966xyqfQDY/P1Juo97BvHHcU8dPk33EdOZq0JYTd7JAoC572C6j5pT/GvK6+Oz2drOnKDaD43nZ1gVtA0BDxbmzp2LrKwsJCYmor6+HtnZ2di2bRs+//xzqFQqzJgxAwsXLkRaWhrS0tKwcOFCBAcH44EHLp4l0Ov10OubR+gagbpsz2Ur6T4k5u5dHn6D4/4z3J3/PQ9eR7UPALuS+ONbfX7LF5JSPccnZXLZuSOgKoHpF8tp/vg1m/kQAOz17V/kqb70yNX+CAGBUoZoBcrLyzF16lSUlpYiIiIC/fr1w+eff45bb70VAPDcc8/BbrfjscceayJl2rJlS6slqiU6mY97+YvHjhO1dB9uL58l0kxOtya9/AbVPgBUvHuM7uNIIz/LI4GgDsDlL7GQS8AQwh+/riNPQ3SUc6GUIVqBVasuvXNSqVSYP38+5s+f3yY/Pg+/A1hiR+5s5B+HBFLJY4cWDb9i5rTzSbgUtAwaI7/PRmJqROI51ejm+2DTPXsEpl8UtA3tVhsiSMuPRHuo+Q1QOjLzISDDs9DDdphq39fA38lGChBkddfzM2KxnflEQH17x1Htby7iz92bu/L7RySaD00pkXQfB6rKqfY7deNTb0tAKUNcg2i086laVaXcBRAAklIz6T5AHjEFAEc4V+ip9r/42hD2yCl0H0G2KroPSxU/IDlwhHscEjTJTgc/k2Qp52u/sDkvAD6DoyOWH7hJIEgJFq49SJC2WL7OofsIS+SrKfLzCoB2/5dU+5ajp6j2AeDGSfwsj/PrD+g+jKED6D5i4rjcHUfVfJ4FQzA/OymheRAa2f4p4/VG/oZGQdvQboMFCday0F78We9GIz9l7Pbyw4UQMv120tgbqPYBYNsP3N0TAMztzn+wW2v53fFnyrkPd1sFf1LB7byO70MgQ2K3cqm3Ab6wl0TfhQRUHbjDsd0GC16BYEF13a10H0dq+GqKzkb+NESkgSsEYxaY6HA08LNVmhH30304sj+i+6ghT0NoBRocTx/kj+tJ0D3XlPEzJOxR9TOFfLZcgM9sGqQEC1eORYsWYe7cuXj66afxxhtvAAAefPBBrF27ttn7Bg8ejB07Ws5u53EKcK7r+BH70TJ+fdkr0OAYouM+3HVd06n2AcD6Hb8ZDVp+ZkFC6TCMPP1SqeGnpSW+J42bH4DqQ/iBlTa4Y4z8KrhyUIOF77//HitXrkS/fv0u+N1tt92G1atXN/2s07UuOnbUVbb5810ORXZ+4mV/Of84XAKZhf6m1vFktBbWjCyqfQBI78+n9z7p5tP/Oi1n6D5qyHP33kZ+86G1jD9xoRLovZDo3/KQMyQSKqMSUKnbP//IxUBbDa1WK6ZMmYK//vWveOWVVy74vV6vh8l05R2wagESj9P1/BKBWWBczyvQs6Ajp9+q7Pyyk16AaMju5p+L+LQ0uo/BAxOo9j8RkHZO6MUXL7KRNTQAICmN35hb8DXXviGCfwwSUHoWrgCPP/44JkyYgDFjxvgNFrZt24a4uDhERkZixIgRWLBgAeLiWj67LSFp2j2aT9qSEMbfaXr4iQV6sBCh5+88TpEpqwEgLoSfrZJocDxWwR1dtp3hNziG3shvYC4/Vkr3YYnhl0vZ2hCm7tyeJykoPQutRHZ2NvLz8/H999/7/X1WVhYmTpyI5ORkFBUV4cUXX8Qtt9yCvLy8CzQgAP8S1R5nA1Rq7oPXKLDTdDbyd5peFd9HiYWbCu0by88khQsEbj6B/hGHhc/lcLKQe+9JTDsV7eWP47ob+NMQ5Sf4PQseF7efp6KYP4mkoG0I+B1fUlKCp59+Glu2bIHB4D/FPnny5Kb/Z2RkIDMzE8nJyfj0009x7733XvB+fxLV4f3vRsR1F743kJB4sHcUhOi4O3+1AJlRnUDZyS2Q5QmN5bIrAkA8WXTrTCG/oS4yLpLuo06gXBrXhc/lUHcyimo/JJprXwoSAmhXCwEPFvLy8lBRUYFBgwY1vebxePDVV1/hzTffhNPphPpnTT9msxnJyckoLCz0a9OfRPXA5z6HisxMGFN9iGofAKK1/N0sgvipb28w92Z3b15PtX8WQ+geTHX8cT2tnn++eyZGUu3nW7lz/QBgElAZtVTW030Eh/OfIe6GOqr9MIGSrwSUMkQrMHr0aOzd27yr/KGHHkKvXr3w/PPPXxAoAEBVVRVKSkpgNpv92vQnUc0OFACg6oO1l39TGxHepxfdBwQ6jTWdOlPtH1j3D6p9AKhN70/3UfPxJrqP+upBl39TG/H9Hm4tXkKF8GgBV+8AABxkmmQAOFnI/67YZaHSw/weFQVtQ8CDhbCwMGRkNKcwDgkJQUxMDDIyMmC1WjF//nzcd999MJvNKC4uxty5cxEbG4t77rmnxX6cNr42RNRNo+g+fL2G830IZBZ8DdydYMLQHlT7ANA9nt+RHTloHN0HdvPHcTXkspPEOGCEQGNgXanAFI8AVbKHzBcRFteJal8KyjREAKFWq7F37168/fbbqK2thdlsxqhRo/D+++8jLKzls/q6YC43PQCcydlM9xEfFkn3odLxxzMde76h2q/YdYxqHwCqhvBJmST0RkwpY+k+unTh9hSUJvam2geARoEGkugkLg06AETF85+FkUnc8+F2NlLtS0HhWWgjtm3b1vR/o9GIzZvbvghrtPzUui6cv/Pw1tfSfUgEC7qhZCrV97/g2gegF6j1Gzvxd1Cnv+V3+dfVcMczq4/todoHAGMkn8Gx9iS/R8Vh448dWk5xFXgl2DQVtA3tVhtCIlgI7uy/hyKQCDKl0n34BCiGvUZus1hUN76EbaiBfzsECZDPqMk8/gAQQm6qk9CGMITwa/2GcH5wGBbN/65qdNxryhDS/pUzAaXB8ZqET4CVUB3FH0HzkbkipKCuPU21H9U7mWofAPbl8ZvRVCn8+rIEda4qqP0/FDuK0qHDxu/vUJOzk/UV/GZTCXSE++JiaLcrlcSNXvGPXLqPhDjuFAEAqAz8mqZt++dU+zUHjlPtA0BU/E10H87jeXQfwIVaLIGGl6w3ogvjz903uvjPkEYHvxE7KDKS7oONjqIN0ZGhBAuXQFhSPN2HL4rLsQ8AXrXAaBWZUzo6g1+uCbfwU6GaYH6JoO4knx/E28g9H3UnuTVyQKZE0FDFzbgBgMbAL0NYy4up9g0RHWMaIkhpcGwdTp06heeffx6fffYZ7HY7evTogVWrVjURNfl8Prz00ktYuXIlampqMHjwYLz11ltIT2+5DLFOYFzo6Cb/dNWBRO8YfmOPSssPFjwObir042f/RrUPANNyHqb7OPHWt3Qfpl6P0H3EkQmNGqr4o7Khsfx7LyR6MN2HxAiou4HLQSLBqyEBZXSyFaipqcGwYcMwatQofPbZZ4iLi8PRo0cReV6qbMmSJXjttdewZs0a9OjRA6+88gpuvfVWHDp0qMXjk0Eq/kmJ68/vMvYI8EWo/ehtBBrhN91Ktd9jAH+RfeGfxXQfY/vxR+m8Rfx+HiO5GdTj5IthSSyylae5zIeATJ3cQ+a9CBEYIZeAEiy0AosXL0ZiYiJWr17d9FpKSkrT/30+H9544w288MILTToQa9euRXx8PN599108+uijLfIjUYaIGcCf9Tb05VMMS8BtbnlW6EoQmcqvYXeN46dzQ4L5ssh1/+I3apaQp5EkSJksVQ10H9ZyPjOhRptC9+ElkzI1uvi6LArahoAHCxs3bsS4ceMwceJE5ObmonPnznjssccwffp0AEBRURHKysowduxPxDF6vR4jRozA9u3bWxwsOO38i0stMOZWax5A9yGBcCt3tj/EzD8X+4v4egRB17eceOxKYYziBz3Body0sURaWoIISII/QGKMnE33LKEyKgGlZ6EVOHbsGFasWIGZM2di7ty5+O677/DUU09Br9fjV7/6FcrKzu564uObNw/Gx8fj+HH/He/+JKrd1hq6PoQ6ij/bbxeQqG4UGDONqOEGC51uGkq1DwC+nfzvSZvM1wJx1u/n+4jkNoOyhYsAQC3wYLcLaENIBFZOsrBXWFB3qn0pKGWIVsDr9SIzMxMLFy4EAAwYMAD79u3DihUr8Ktf/arpfaqf9Rz4fL4LXjsHfxLVIb2zEJY+PsCfvjl8XfpQ7QNAgwDlrEdAaru6yw1U+zEafkOr6582ug+vnj/G2lDFZ3BU+RGECyTcdn4vT0NtLd2H22ah+3AZquk+fB7uzp9d5lDQdgQ8WDCbzejTp/ki27t3b3zwwQcAAJPp7G69rKysmcpkRUXFBdmGc7haEtVq6xmqfQDodJFjDiQE4hFEuLgPLNeRH6j2AcBen0j3oXLzy2eRSfzsRbSZW06pLebLR8d35TO0SvReRF5ErTeQYI9ORsTHUu1LIUghZWo5hg0bhkOHms95Hz58GMnJZxn4UlNTYTKZkJOTgwEDztbrXS4XcnNzsXjxYr82/UlUuxxOANwHr8QuMKShgu5Dgu7ZouPWZqOT+KN0AL8Dn02LDQB1pXzRLYDbqOkS2JFXnqql+5DI8mgEqLEbydMplnK+UqoEFCGpVuCZZ57B0KFDsXDhQkyaNAnfffcdVq5ciZUrVwI4W36YMWMGFi5ciLS0NKSlpWHhwoUIDg7GAw880GI/ajJXOQB4IvjsihavgLwsvwqBCC33JnF34/csxJj545meCD4Jl1Gg1yacPHZ4JoQfVOmN/JHi4Bj+MyQ4gh8s6EK4KqMdpcHxamDRokX48MMPcfDgQRiNRgwdOhSLFy9Gz549m94TCG6jgAcL119/PTZs2IA5c+bg5ZdfRmpqKt544w1MmTKl6T3PPfcc7HY7HnvssaYPvmXLllZJVNsFInZt+UG6j8pQfl+ERM9CJ2sx1b6qjl8Skuhk1pYdoPvQhwgsHmSFTn0EPy3tIbOOdiSwmyg7SrBwNYSkcnNz8fjjj+P6669HY2MjXnjhBYwdOxb79+9HSMjZ7HgguI0od/ztt9+O22+//aK/V6lUmD9/PubPn89wr0CBAgUKFIgjUNMQ/iYA/ZXjAeDzz5vr8qxevRpxcXHIy8vDzTffHDBuo3arDRFm4rMrQiDaTQjlnwKByUnAyt15NFbwM0kNdQIqo9X1dB+W00V0H14PVwXUWlZMtQ/IlGskRiclRJjYo5MSfRftCf4mAOfNm9eiDbbFcrbfJzr6bB9ZoLiN2m2woBfQhvCE8x8mRhU/IPEF8dPr7ijuJIE2jC8sdNtg/jQETPzITaM7QfdhCCaTMgnomRhbUfa8Uthr+L1VEgutmlyG0IfyyaskEKgGR38TgP6yCj+Hz+fDzJkzMXz4cGRkZADAFXEb+UO7DRaqjhfTfRzw8iWLT5XwKWclGhwNGm5A0it1BNU+AEQ0lNN9HAji1+JdDfxJAlsd9+EeJLBbris7SfchwbPgCedP8bCnISRGTCUQqJ6Fi5UcLocnnngCP/zwA7755psLftcabiN/aLfBgu0Mn3M9NZK/u/n7If7opN3Fz17MvomblrYLkEUcr+QHbgnX8TNi6SNvpPuYehNXovr3i/np+/vuv5nu45/5/PLZrTfyS7Kr/5vbYDwiq2PQ3kuIel0MTz75JDZu3IivvvoKXbp0aXr9SriN/CHgwUJKSorf1MZjjz2Gt956Cw8++CDWrl3b7HeDBw/Gjh07WuUnOIY/gqYFf4Ga0ItfJ3cJUEqrySqgOoEu423f8gPQP47ik3Ad2r6H7uPVo1wSLstJftlp4yZ+6ttaxu8feb+Ur2nitHB5EHI/20W1DwD41fV8H1cBPp8PTz75JDZs2IBt27YhNbV5IH8l3Eb+EPBg4fvvv4fnPGrQgoIC3HrrrZg4cWLTa7fddlszVUqdrvU7eAk+dJuHv0BJLORuLz/oOVXvptpPMvKzI6FkvQMAKPPyZZElOEhCwrnflUYvcAxRfC4HkZ4FHZ8vgi1RrRXg1ZDA1RCSevzxx/Huu+/i448/RlhYWFOPQkREBIxGY8C4jQIeLHTq1KnZz6+++iq6deuGESN+qjnr9fqm1MiVQqKpx0iuwwP8Wj8AGFUCgjmN5ICEnLkAAEMwv0QQoefX4iWUDr3kERttMJcECACslXxNBYnGPQnVSX0oVyLeITA1IoGrISS1YsUKAMDIkSObvb569Wo8+OCDAALDbUTtWXC5XFi3bh1mzpzZrJFi27ZtiIuLQ2RkJEaMGIEFCxYgLq516XiJ3VOdQK2/soHf2OMWmJ1MIe/KXUH89prYcP4OzckOqiDTVIdI7v3ncTmo9gFAH8YPSGxnTtN9SIDdgKiP6HT5NynwC18LSPcCwW1EfQJ/9NFHqK2tbYpuACArKwsTJ05EcnIyioqK8OKLL+KWW25BXl7eRbs//RFUOKpP04WkvjvFn4nPK6ml+/AIBAu39uDe7PvP8BUhK2r5C1ReKV9NMaozf+S3Tx/u+S7J52fDTMnc3TIAVJGZLgEgKS2G7qPyKDc4DI/tGGUIRRviCrFq1SpkZWUhIeGnZsTJkyc3/T8jIwOZmZlITk7Gp59+2sQu9XP4I6iIHDQR0ZmT/b4/UBiTGkm1DwDXmfjlFIlgIcrATYUaffwMzJwT/B35iGT+Q7HRzc+IGXXcRdAn0GdjCOGXnRw2/nXbIODD4+KOTqo1HUOtUSXAaXO1QLvjjx8/jq1bt+LDDz+85PvMZjOSk5NRWFh40ff4I6i4/oUcBGm4N7vGUUu1DwAmNX/n4dPyfdR4uDdJWDVfSVFLDngAQOOso/uoOcHvwGdLbrnt/AzM8QN8vRHLif10Hx4Xd4z1rA9u1q22gp/FVdA20FaRc/zUEyZMuOT7qqqqUFJS0mz+8+fwR1DhtDcCaAzER70ofFp+X4Q7iD/VIcL27OCei1gDn21Po+UvHo16fp08uT9fnOzGvtxSx/+c5EuSd+7Obz4Micik+4jvws9W7fdws1Vh0R2D7vlqTENIgRIseL1erF69GtOmTYNG85MLq9WK+fPn47777oPZbEZxcTHmzp2L2NhY3HPPPa3yIaFSVuPh78jVAiUCCdXJBjJpkjeEX1+W6Cq3CZBLlR7jd5Z/Qy51WMuLqfYB4EwJl0gMAKqO8zNiTjs/s1B7vIBqXx/Gl6CXgNKz0Eps3boVJ06cwMMPP9zsdbVajb179+Ltt99GbW0tzGYzRo0ahffff79VIxwAYAgRmFcXGNfTClxbQT7+cbC7/H0C45/Rsfxrql5gwqZzDz5h2aCe3AbH0sPdqPYBILazQLZKl0b3kdSVH0jXnkyh2o/sFEK1r6DtoAQLY8eO9TvOYTQasXnz5oD40Ap0GUdX81nkGmNS6D4k0D+U3AB14gDVPgCcKecv5Mn2YroPCbg8/AwJGw4bl0gM4PNRADJ07mwSvFqBaScJKJmFaxBuJ7dGDgDeM3z1Pq2H38ns0wgwvEV2ptqv+zqHah8AQsKz6D5g4WuB1AloXBwjc1I4LPz+EZczhe6joY4/jltfze97Yp+P4OiOwbOgTENcg4iK5zfENJYfovvw9uarKUIgha8p2U33wcbArvx59caKfLoPVRC/cc8sQI3NRoRA2ckqwN0hQVPOlgwPieBvaCSgUvP7nq4W2m2wYKtzXv5NbYTPzk+NqS18hjefhv8wYX9XhsREqn0A0Aj0dvgc/GvKbuXXf4+QOSkkJIurBAiyHHV87o7qcv79zWYFlQiqFLQN7TZYsFv5wYKuez+6D0/4xUdGAwWJMkSQlutDK5De++dn5XQf2smD6T7sa9ksCMCZqyjFGyhUl/DloyXKKVw9yLNg8yxYy/mKrxJQehZaifr6erz44ovYsGEDKioqMGDAACxduhTXX39WItTn8+Gll17CypUrm0Qt3nrrLaSnp7fYB1v1DgC8KdfRfVjBrze6XfxmtFADtyPbGB5LtQ8AQWr+LlCioVVj3Ef3YQjmXreqIH461xDBLzuxmQ8BQBfCn+pgwxjD7XmSQpDSs9A6/PrXv0ZBQQHeeecdJCQkYN26dRgzZgz279+Pzp07Y8mSJXjttdewZs0a9OjRA6+88gpuvfVWHDp0qNUjlEyo3PzUmM3XQchIdOSdpsDiUXmazyIX5OAzOEoISTlDuNethJCU28FvBJVgopQ4Di+Z16ajqE52ZAQ8WLDb7fjggw/w8ccf4+abbwYAzJ8/Hx999BFWrFiBP/zhD3jjjTfwwgsvNGlBrF27FvHx8Xj33Xfx6KOPtuyDCxAU+MjjQgAQr+VPdfjIglsAUOPkPkziBEi4JCSqfTp+U50E9Ebud9Xo5O/IgyP4bJoNVfwgV0KB10dmcJSQVZeAUoZoBRobG+HxeGAwNC8TGI1GfPPNNygqKkJZWRnGjh3b9Du9Xo8RI0Zg+/btLQ4WXOTFCQAadJF0H9UO/nG4BRZa9th9bCi/DBEdz28+rFXxmw9DOvFJmdiTBPowPtGQWuDBHhrPZ1eM7cwPeupOxlPts3kcpKAEC61AWFgYhgwZgj/84Q/o3bs34uPj8d577+Hbb79FWloaysrOppvi45tffPHx8Th+/Lhfm/4kqhssVrpEtc3NJ1T5+ngt3YcE3fN4skzuARuf/z6WzB0AAA4P/1xIjNKld+XuBA/9k79bjjbzS4AaHT+z0DU5ku6j5Afud6UwOF77oPQsvPPOO3j44YfRuXNnqNVqDBw4EA888ADy83+aMVf9jErZ5/Nd8No5+JOoDr/uXkQOuC/wH/48xBj4UaJWoqtcgGzPqOF+VzFG/uBObQOf0Y8t5Q3IjKHtO1ZNtd8oUOuvKednkizl/FmFAgEGRxe5D+ZMMX+EXAIKKVMr0a1bN+Tm5sJms6Gurg5msxmTJ09GamoqTKazanVlZWXNlCYrKiouyDacw9WSqHYKLLJpMfyI2u3lHwhbSMogoHffNY6/03QLZBYkqNC7duGmvvcLNLT27MNnDdwtMOLdKZFfhigv5JYJEtNTqPaloJQhrhAhISEICQlBTU0NNm/ejCVLljQFDDk5ORgwYAAAwOVyITc3F4sXL/Zrx59ENaCGlyxeFHqGz+DYO64n3YfA+gSjvYpqP6iIq3oHAIVl/GAhvJ4/T55ELgkBQFo8d2opMqUv1T4AVFTxpwg6CchHJwqk8I+bu1Pt11fzG1oVtA2UYGHz5s3w+Xzo2bMnjhw5gmeffRY9e/bEQw89BJVKhRkzZmDhwoVIS0tDWloaFi5ciODgYDzwwAMt9iFxE/rIREMAoN/H1zwIMgpkL7pxJWZVXfpQ7QNAWfEPdB9eXQrdx9ECPs+Ck6zNUr73K6p9ALhh6L/RffwzZy/dh4ROTs2x3VT7CWNuodqXgpJZaCUsFgvmzJmDkydPIjo6Gvfddx8WLFgArfZs2eC5556D3W7HY4891kTKtGXLllZxLBT/wNeJ/7iav+s/1sBfBF11/DJEfzWXP6BCQJROosnq0zJ+et1ew6+T155p/9oQe3aV0n04rdzeDgCoq+aPHfrIpcySg3w2TQkEKcFC6zBp0iRMmjTpor9XqVSYP38+5s+ff8U+JJjRbhboMq6w8Tnw7UH8BqhbE7mLR4mdz0+wTEAhcJhAfVmC/dBHjj8lBHkkRic7CthaHVpDx+AfURocr0FIkHi4BIr9Nyfzj0NidPKHau7q0TVKgDBJ4HuykRtBAcAQwecoiIrnZmE0AkRDxjD+bL8hnN9EySbIAvg8CF6vQGOVgjah3QYLoZF8WuhOQfzsRZyG32QlwUR5BtzzEW7jp4wlyhAJen6W52IjyIGE086tk6t1/DKHRFOdRIZEoxOQoDdw7w2JUVkJKD0L/0chQZPsDeXvPLwQ4HIgM1GqvPwmLg95ugYAPAJy4TFmfiDdtzt34qJ4Fz/jJhEcBgsQffUQmH6pPG6i2g+NVeier3W022BBgqVOteszug91OP8mUen5KV2TgbtANR7ZRbUPAEe+43dRGkoEsjwn+UJS7LkR2xn+iKm1Npnuo+bUSboPtwD1vbW8iGpfY+wYgnodGa0OFr766iv88Y9/RF5eHkpLS7FhwwbcfffdTb9vifz0yJEjkZub28zu5MmTkZ2d3eLP0ejm3yC+626j+wgqP0j34RPYzR7Ud6Xa72Xi8jgAQNdB/AyMK3Eg3UdD1Sq6DxtZIp7NGAjIUDE76/nTELY6fnbSWV9DtS/RlCsBpcHxPNhsNvTv3x8PPfQQ7rvvQrrllspPT58+HS+//HLTz0Zj63a/laf4N+FhK3/x8Bh78X0IMFE6nVyq5MJO11PtA4C19hu6j4PVfEY/jYG/S9PpuQ93rcBO0yXAT6AXaMQ2hPCzVWxhryAJ2nsBBAn0qFwttDpYyMrKQlZWlt/f+Xy+FstPBwcHN1E/X6voaeA3QBW5+SNDElMdGVHcipZXoEkzPIZfrukdyX+YRHeOo/tISeUuHsd381VGY0z83g63k6vWCMj0XpwhB2/GUH5vh4K2IaBP+NbIT69fvx7r1q1DfHw8srKyMG/evFaRMklMQ3j++QHdR/eMYXQfEIh2Vae5pEyuI3x2xbJifvCq+mEL3Uejix9YucjNoD6PgHS7QGbBWc+9LwDA7eQHC143l2fBaeeLuElAaXBsIVoqPz1lypQmjYiCggLMmTMHe/bsQU5Oy6mPDSH8SQV9r0F0H/DwSZl84C8ejZ26Ue3rBGqaMfn88a2gRPPl39RGhMeW0X107cTdaf7Tyw8WupDFsACgwcq/v3t045c6ir7n3n+mlEiqfSkowUIrcTn56enTpzf9PyMjA2lpacjMzER+fj4GDrywAczpdMLpbF7rLSsshoo82ngwlKt3AAAlFj5roFNAPrN3MJmkJzL98m9qI3456gzdxxEtP71+9PvNdB+Vp1Kp9iWmIfK2F9N91J3ki9FZKrjnAgAcdVwK8aLdfPp+YJSAj46LgAYLVyI/DQADBw6EVqtFYWGh32Bh0aJFeOmll5q9FpZxB8L73RWgT+4fnYL5k6Ub9tXSfbBTxgBwcxJ3l1Zs4e/Q3v3iKN3Hfb35/QS6YL7IWnAYt8bMZgwEgJBwfr+QTWBsWS3AdskuCwVp+edbAso0RAtxJfLTALBv3z643e5mAcb5mDNnDmbOnNnstX7PfErPLOjU/A7d4Skdg4xETe5m7ixAzSvB3RGs5T9MJOiedUZuIB0ck0C1DwBOB79OLkH3HEIeYwX40xDsnggpKGWI82C1WnHkyJGmn4uKirB7925ER0cjKSnpsvLTR48exfr16zF+/HjExsZi//79mDVrFgYMGIBhw/w3++n1euj1zXcyhlD+rkAvcN57x/J3BQKTk7CTNQ8igvgPdmstvyRk0PAvKreDfxwAt2fBXlNOtQ8AKYP4PUklpcV0H4jnl7YcFm4ZIr43n39EAkqwcB527tyJUaN+qv2c2/FPmzYNa9asuaz8tE6nwxdffIGlS5fCarUiMTEREyZMwLx586BuRde+RINjkLOe7iNCzd8xS9BWN3i4mQVNVTHVPiAzdy8g2yDCs++wcUsdaoG0tK2Oz3nhcfLHr+1W/nGwywT2egENegVtQquDhZEjR15Sne9y8tOJiYkXsDdeCdhCNgAQZOU3vLljuVMEANAooOgWpOL6cB/Oo9oHgMhOaXQfGgtfECs0lt8XkdiVm5Y+uZs/DiihodFgSaL7SBCYhqg+xu1JijbzS2cSUHoWrkHo9PyPrqrlj6DpfPwigVbFv4A94dyRQJWRv3jUnuHvboIauLS5gAyjXxy5Ti7R4GgMFWA+DOEzUUZG8HsW1ORGTYlrVgIdhbbaH9ptsNDo4s9hO7vxCZMk0tISOFXP7SlITuPTPdet3033URXdk+7DUllI93HwGPfh7m7gkxlZqvjy8A3V/OxkSTGf/dBt454PiX4hBW1Duw0WggQaxdReflOdV6Cf4BJVo3YDdR0/yyNBmysxYaPW8G9rNvuhPoLftHemhJ/lYe/IAcBh4z+n2Oej6vgJqn0xKJmFaw8SwiN2n8CJF+BAEGhZQA25h8QTzqdi1mj5O02HgE6HvaaC7iM0kivvbKvgkzJFdOb3C9WSpZ0BQGvgT4bZq05T7YeZ+edCBErPwrUHLVn1DgDCiv9F9+GL7kL3AYGehYEe7uRIY8Eeqn0AMITwmfDiKvfRfUiAfUn5BOieJfgJagQ0LgzB/Hq/l3w+wk18Xg0FbUOrg4WvvvoKf/zjH5GXl4fS0lJs2LABd999NwDA7Xbj97//Pf7+97/j2LFjiIiIwJgxY/Dqq68iIeGni8HpdGL27Nl47733YLfbMXr0aCxfvhxdurR84YyJ5zcO1fzjQ7oPj4NPRqIJ5j8Uo267UK48kDi86m9U+wDg6P0M3UfDjs/pPoI0nek+2JCQqHbY+PeeRBlCglxKQ2aJrCvjZi6koFIkqn+CzWZD//798dBDD+G++5ovEA0NDcjPz8eLL76I/v37o6amBjNmzMCdd96JnTt3Nr1vxowZ2LRpE7KzsxETE4NZs2bh9ttvR15eXou5Fk4X17b2o7caqhf/QPcR5eHPxPs0/AaoXTXc9Hq/pcup9gEg5e/89L3n7mfpPpz/8ybdh70+hmrfYeE3BqoESplum4XvQ4CEq9HF5YvQR/CZLkWg9Cz8hKysLGRlZfn9XURExAXKkcuWLcMNN9yAEydOICkpCRaLBatWrcI777yDMWPGAADWrVuHxMREbN26FePGjWvR57BUVLf2o7caVhe/n6DEwU8hOhr5qdDYYG6jZrma3/BW7+DvbipsfH6QX0wde/k3tRG/HsztWbi7tpZqHwB+cVsPuo+CvhfXxAkU/v2mrnQfj/6RuwgOvDGRal9B20HvWbBYLFCpVIiMjAQA5OXlwe12Y+zYnx5oCQkJyMjIwPbt21scLITH8kk8zEH8Xb9JoG4KFT/aVbnbPwPbgXx+sJD8S/4CtWMX/zjU5Jnf2uMFVPsAUHCqF93HgT38KZ43BTqYqw5/T7Vf1l3JLFzroAYLDocDv/vd7/DAAw8gPPwsA1hZWRl0Oh2iopov9vHx8Sgr839j+ZOoDovU0IlbVEe+o9oHADj4HfgqgW7poFhuo6b70M7Lv6mNCA7lEksBgLqE36ipFhgr9pDncbXBXMZAALBY+T0LEqWOBgc/W2WI4mZI6qr5tNgSUBgcrwButxv3338/vF4vli+/fL3Z5/NBdZHdij+J6tgb70fckAcC8lkvBk/6aKp9AAhy8GuaviD+0MsxF7cBKrWvgODWZj6ZUUPXoXQfp/avovtgs12yhYsA4NgPJ+k+bGf4/AG2av5YsYMs7FVdwpdVF4GSWWgd3G43Jk2ahKKiIvzjH/9oyioAgMlkgsvlQk1NTbPsQkVFBYYO9f8g9SdRfesb/+RnFrwCwkJH+TtmlY5f6jAmchdBlYDI04AB/MyCRyBlrA3hP3gjYrjZqgqBKYLgCP7EhZssuAUAEQKqk3WnuM9aYxT/GBS0DQEPFs4FCoWFhfjyyy8RE9O8a3rQoEHQarXIycnBpEmTAAClpaUoKCjAkiVL/Nr0J1F9fM/hQH/0C/BdxXV0H9870uk+IMCkmn6GW04pNfL5KPbt5/Nq7BnGLzvFdOY/eHumcachivP4ZYi4LnwfagHJ4qh4PvNoJbkMIcF5IQIls/ATrFYrjhw50vRzUVERdu/ejejoaCQkJOAXv/gF8vPz8cknn8Dj8TT1IURHR0On0yEiIgKPPPIIZs2ahZiYGERHR2P27Nno27dv03RES2CM4c+S94rl726ijXy6Z4cAS2Q4mSQrOYhfrok28Xea/eP5/SPVpXwa42Pk69ZOTnsDMtoQNaf4zaaqIP6z0HaGy6hZJ/A8l4DSs3Aedu7ciVGjRjX9fK48MG3aNMyfPx8bN24EAFx33XXN/u7LL7/EyJEjAQCvv/46NBoNJk2a1ETKtGbNmhZzLACAq54/Onmqnt8AdbSa/8ByC6S+48iqca4Q/i7Q7eSPmJaQBbcAwBjG32myFRv1Yfxpp4v1SAUSujC+fLQhhL/h0IVyz4cEfb+CtqHVwcLIkSPhu0Qn9KV+dw4GgwHLli3DsmXLWuu+CRoBhrcggYdJhgATpQDNAupd3J6CBjf/IMIj+ORVQRAgAhLo73CRO/A9ro6hQughkxkBQKOLHxw2OrgNrRKU1SJQyhDXHiR2TxILlDmUX6tzCYgXVdu5O2arAMe+TYD+t9zmvPyb2ohocxjdR3pX7o65kFwjBwCNjv9gF+GDSeQ3UZYf4ZImeTz8UqkIlGDh2oNE41CvGP5CrhFIvxk0fB8mclo6MYx/qTYIzN336cTvWagXmFk/VsElLPM28s+FRAbGWssnK6up5vdW2Wu45FJhcfxJJAVtQ7sNFmI783dPofWn6D5QdpTuQqXnBz2RXW6g2g/a/XeqfQBQq/k7tCg1f4HS6vm3tVFgV86GROpbq+f7MJCp1gG+IFZoZMeYhlCEpK5BBAlkFnCaP57psVTRfUgEC+HJ3DKBbTeXbhYA3M6RdB+aM/zgUC2QSQoztNtHhygkGvckGnPZnDYSkykiUKYhfsKlJKoBYP78+cjOzkZJSQl0Oh0GDRqEBQsWYPDgwU3vGTlyJHJzc5vZnTx5MrKzs1v8OewCKWNP2hC6D5eGn0KUAFt0q9NdD1HtA0DDHw/RfbjMfeg+Gl38cb2Scm4ZQiVQ+5VYoFwCpQ5bHb8ZlF0WcjW0f22Zjo6ASlQDQI8ePfDmm2+ia9eusNvteP311zF27FgcOXIEnTr9JBYyffp0vPzyy00/G42tWzQl+O99Wv5CrnfxbxKfiv9dnWngPtwlZGaCyX0XANAoMMbqaOAH0tZa7vlutPNF3FzkplxARqK6QaDs5HVzrykJSXIRKA2OP+FSEtUA8MADzfUaXnvtNaxatQo//PADRo/+SWshODgYJtOVc5o31PO7yqsc/A7dKIMA5azAAmUhC2J5OvG74yM7VdB9nLDwFyh7DV9XwRCcQLXvrOcTS3kF7gt2YyAgM0bubqij2tcL8FFIQCIjdrVADUldLhdWrlyJiIgI9O/fv9nv1q9fj3Xr1iE+Ph5ZWVmYN28ewsJa3rR4ppifat1xkr8rkIDA5CTqHNxFMEzPbz502vkp44OVAjvmBv5167Rzcz0S/AQi6pwCxyEyOULO9EiQV4lA6VloHT755BPcf//9aGhogNlsRk5ODmJjf+KrnzJlClJTU2EymVBQUIA5c+Zgz549yMnJ8WvPn0S1x2mDSs3tApYgZfKSpX6lfDjIc9JGLf8mjBcYa5QI3ELjU+k+ImK535Uhgl94kmBwDOmURPcREcdfaGuOcbMXWkPHmIboyKAEC6NGjcLu3btRWVmJv/71r5g0aRK+/fZbxMXFATjbr3AOGRkZSEtLQ2ZmJvLz8zFw4MAL7PmTqA5Nvx3hfe9gfPwmDEnkUwwXVAjQPQsQngwgEwGFC4zqSShC3pTEz5DEdeH7yOjBFas6tZ9b5gCA8Gh+T5IhhK95ICGIVRmfQvfREaCUIVqJkJAQdO/eHd27d8eNN96ItLQ0rFq1CnPmzPH7/oEDB0Kr1aKwsNBvsOBPojr98f+lZxaq7fyRpMIqfoOjSyBYSCNLFp8W0FQo3M9vsrIIjLlZa/nd8ccruddto0D63iVwLhoEJhUarPxduYdc6vAJBOoiUIKFtsHn811QRjgf+/btg9vthtnsn8XLn0S1IZxPo5oG/uJh6B5H9yHBpJpIzuCnuPkqhBLoquNnkoxh/KmOGPLkiEbH3/VrBEpbOgFVWR1Z8RUAgjrwIqigZQioRHVMTAwWLFiAO++8E2azGVVVVVi+fDlOnjyJiRMnAgCOHj2K9evXY/z48YiNjcX+/fsxa9YsDBgwAMOGDWvx5wgO44v++Ax8lshoTce4CV3k+q9BzV8AJWbivQZ+iUCC7vk0OVhwCYwcOhoEJlPq+eeirpofkLDPhyHqyifjrikoDY4/4VIS1X/+859x8OBBrF27FpWVlYiJicH111+Pr7/+Gunp6QAAnU6HL774AkuXLoXVakViYiImTJiAefPmtUqiWgLHXfzdTZiKn36TyCwcq+E+FPsIjE6GCKhOFtbyO9cdNn72oqGOm/qWmCJwCAiHifAs1PGvW3Yt3lpeRLUvhatF93w5ssQHH3wQa9eubfY3gwcPxo4dO1rsI+AS1R9++OEl/z4xMfEC9sYrgcSMtASjtFqgIzsoqGNMXLDRrXsM3YdWgP5XgtDIVsdVfZWQqJb4ntwOvg+HTUDmnixRrQ3hN2l2ZFyOLBEAbrvtNqxevbrpZ52uddnBdkvwLsF/L0Fm1ODmb/slFnI9eWadf7aBKgt/gZK4piTY8NhEQB4yYyAgw0/gqOH32kj0d7C/K31oR+FZuDqZhcuRJQJne//aQoTYboMFCcW4FAO/hh3k5O88JJAQS2449fAX8toz/MmUtAj+LZeQcR3dR2JX7vn+voqv+GrukUz3YYzijpgCgDmV3+x9aDu3LBQWxy8ziiBAwYI/biF/jf6twbZt2xAXF4fIyEiMGDECCxYsaKIzaAnabbDgFOB192j5JD1uASEpiQJBZQM3sOqs5WdgJKSd3eDXtiSUDtlwCdA9qzrA9wQALgHmUY+TGyy4BZqLJaAKUIOjP26hefPmYf78+VdkLysrCxMnTkRycjKKiorw4osv4pZbbkFeXl6LA5B2GywoUKBAgQIFHRH+uIXaklWYPHly0/8zMjKQmZmJ5ORkfPrpp7j33ntbZCPgEtUt6bp0Op2YPXs23nvvPdjtdowePRrLly9Hly5dWvw5dAK7QI29mu4jyC6gPxHE/67Uev8cGYGCL+/vVPsAMLTfALoPXSO/y9/TyM/CRAZzx/UCtUO7FKI7cZs0AeBMCT9DIsGrwZ5OMaXwSykiCFAZoq0lh8vBbDYjOTkZhYWFLf6bgEtUA5fvupwxYwY2bdqE7OxsxMTEYNasWbj99tuRl5fX4vFJCZa6CvA7dO1aPpeDR6DBkV2wsV7/C7IHoGB1Ht3HKVcK3Uejm89MWFHHVX2VoM2treSPmKo1/EC90cUPDtXkJso6AW4QEajaB89CVVUVSkpKLkqE6A8Bl6gGLt11abFYsGrVKrzzzjsYM2YMAGDdunVITEzE1q1bMW7cuBZ9Dq2B/zDppOXX0eo0ArsCgWCBfYuEuWvJHmRIekwhfAIdCepch437XQUJ3BcNVv40RKOLG1QBgN3K9+HzcgNQCc6LjoxLkSVGR0dj/vz5uO+++2A2m1FcXIy5c+ciNjYW99xzT4t9UMLeS3Vd5uXlwe12Y+zYsU3vT0hIQEZGBrZv397iYEFiGsIGvo9wlcBNIkAUcqCW+zCJJDMGAkCji78jrxPwEduZnxEbO5Ar9HTkOz53wHX9+B34BQf4O80b+nNLgABQUsA9H13T+bT3IrhKmYVLkSWuWLECe/fuxdtvv43a2lqYzWaMGjUK77//PsLCWp7ZDniwcLmuy7KyMuh0OkRFNa9RxcfHo6yszK9Nf2MkYWFqBGm5C0hEyXdU+wDgqamg+1AJ7NJ69r+N6yBvI9c+gAYrv4YdW19M92GK4x9HcjS38GSM4as1uiR6OwT6InqRFV8BwEimY3YITLdJwHeVgoXLkSVu3ry5zT4CHixcadelz+e7qL68vzGSpFunIWXcgwH5zBeDNXkw1T4AhAbtpPtQafip738cr6Pav9XclWofAMKjuccAAOUhKXQfhw9uo/v4O3ns0HJiP9U+ABxPiqT7sFTx+yI2kQnRAMB25gTVfuUpfsCjoG2gd9/8vOvSZDLB5XKhpqamWXahoqICQ4cO9WvD3xhJ5pwtKD/BnSSoF5CwPRNzHd2HRM+CpYxLLuWJ5qcpnfYqvg8BoQ69kd9UF0EuA6r1EqqT/PKcxNRWBHkyBeCzRAYJBDwiaCcNjlcC+pX8867LQYMGQavVIicnB5MmTQIAlJaWoqCgAEuWLPFrw98YibqVvNZXAo1aQLdBoBnN5+MfhzmUK2bjCeWPVtnqdtN9uDz88y2xCKrJmQW1QOnM6egYqW+rg9+ITReSqu0o0xAdg+jLHwIqUd2SrsuIiAg88sgjmDVrFmJiYhAdHY3Zs2ejb9++TdMRLYFBIJqOcfD7CaK1fMU4CUUsdTi3NqsryafaBwCXQN00NZifWZCgrT4Wzd1p2s6UUO0DgE7fl+6j8hS/tGUUaP5tqDpNtR+TnEK1r6DtCKhEdUu7Ll9//XVoNBpMmjSpiZRpzZo1rZKotguMPR328lUIJYYhJAQh/1XCJbC6P2Mg1T4AqII+o/s4wF87YKvmEwGVnWCTMvGzI6eO8AW3XPV8YreqUv53xSbJqjpeTLUvBgEysauFgEtUt6Tr0mAwYNmyZVi2bFlr3TdBYpZ8s8DDpHsMv1vaI/BdfVfMXaBMYQaqfQCIiOFrgeQcqaT7kACbJTJIoClXQnVSgi9Coi9C4jg6Aq7WNIQE2q02hCGEf/HelMyXTe0Szj8Oh8CI2AkLt+Z4QwJ/7t4l0NB6Uwr/mlrXmd8M2qsXV02x7BD/fCd05/MTSDDNpvbgZ0ArjnLLTgm9ulPti0EJFq49SPQsJAhwrkerBZqsNPymm27R3AxJsJZ/E0ow4UlcUxLkUpVkumefh38MEsq1Ej4qBWir2agu505TKWg72m2wIDFqUy/BtqflL+Q+ASGpsnruDsonoNMRFc/fzR6v5QckEl3+bGpsiRKBWyCT5KjjC8U1hPGbpN027nGw6aTFoGQWrj14BVLrqUaBkaRGAR33IIn0One00Wg5SbUPyOzI+8bx+QMk+nnYkFg8VOTxT0DmOLwd4HxLNLSKQAkWfsLlJKoB4MCBA3j++eeRm5sLr9eL9PR0/M///A+SkpIAnG2SzM3NbfY3kydPRnZ2dos/h8TuqcbHj9hDyGQnACDxLDlWzW3zT+nCr8OrNcfoPk5b+cGhw8Inl6qt4JZTXDb+2IjEbL/Typ+GaKiLpPvwNnKft04Lv5lcQdsQcInqo0ePYvjw4XjkkUfw0ksvISIiAgcOHIDB0Lybffr06Xj55ZebfjYaW7doSsiyOhv5q6yACKHINEQpu94vELiFRQns+gUCty69U+k+enTlZpKqS3pQ7QNARCx/+iU8Op3uo3NKJN2HvSaFal8f0YlqXwrKNMR5uJxE9QsvvIDx48c3Y2Ps2vVCXv/g4OCLylhfKwjT8U+8W4DRzyUQLPTpRK73CzCjqQX6YGKC+elWCantk+SmOon0PVtmG5ApCVULNDiyz4fH1VEYHJVgoUXwer349NNP8dxzz2HcuHHYtWsXUlNTMWfOnAtKFevXr8e6desQHx+PrKwszJs3r1VymR4Bjn2JSqAE/a9EZkFNXsxdQfwpAgnmQ4HLFg4bvznwUlwrgYCL3FAHAHojP61XU8YvCYWR2TQBwEEuE0QkJFLtK2g7AhosVFRUwGq14tVXX8Urr7yCxYsX4/PPP8e9996LL7/8EiNGjAAATJkyBampqTCZTCgoKMCcOXOwZ88e5OTk+LXrT6K6vrwcKjX3Zj9UxY92D1byFyiJ7EWUwIOXDYmZ+GM1fB8OG3+naa3lLlBOK5+FUqIxsNHOHwl02Pi6KY0O7nOKTfIlBkUbomXwes+e8LvuugvPPPMMAOC6667D9u3b8ec//7kpWJg+fXrT32RkZCAtLQ2ZmZnIz8/HwIEX0vr6k6iOGDgRUYMmBfLjXwAJ1cmUSP6uQCJYKCGTMoXp+WONkZ34bJpegaYFr5ufWbDXc32wVQ4BoL6av5BLlFPcTn7TLJvBUWLEVARKGaJliI2NhUajQZ8+fZq93rt3b3zzzTcX/buBAwdCq9WisLDQb7DgT6J6yPx/0ClhY8kyvGd98KdXJRaoCnLqWyegACqRWQgS2HkYwiPoPiLjuIFVqY5P7x0Szm9w9Hn5jJ2hkfzvSmPgnm+Nkb8ZUNA2BHSl0ul0uP7663Ho0KFmrx8+fBjJyckX/bt9+/bB7XY3yVj/HP4kqsOi+RdXSiQ/WAgV4ECQ6NAdlMAlTUoIFlDOFGhw7BrFf7BL1OJ1Bm6Qqw/jL7ISxG66Vk55XQkkJMnZ50Pi3pOAMg1xHi4lUZ2UlIRnn30WkydPxs0334xRo0bh888/x6ZNm7Bt2zYAZ0cr169fj/HjxyM2Nhb79+/HrFmzMGDAAAwbNqzFn0OCUCXUJ7DTrOfXZkHu7QAAnZpbN9XUnKDaB4DYhJY32F4pYgQUySUohl0Obuqb3VAHAEFBF05pBRpuJ78k1OgWmBwhn4+Q2Gt7Mq7FUFQnf8KlJKrXrFmDe+65B3/+85+xaNEiPPXUU+jZsyc++OADDB8+HMDZ7MMXX3yBpUuXwmq1IjExERMmTMC8efNaJVEdJBAsSCyyPj2/Tu5TCyjfNXLPh0/D35G7BGq/Tp/AblZAhTA0nBv1SKSldUb+96TW8H2EC6ilqvXcDIlEKUUESmbhJ1xOohoAHn74YTz88MN+f5eYmHgBe+OVQOLBfoI/qAB1kEBTnQCjdDGZDc8Qx2dwrC4toPs4UcffaUqM0nWJ5i5QBcH8vgsJhAo0MBvJJSEAMIRzSZPsVv59oaBtaLfaEMGh/N1yJwECnWCPgGKcjz+WVKPnZmGiG05T7QNAtJm/m40XaGi1kRUhAeBkNfe6bag6RbV/Fil0DxKcFzYJH2e4ZcDQWH6PigiUzMK1B0sVf5H9+BCfUKW/iV8nl8Bnh8qp9kP6+m9+DSSCQyroPrYe4/eo1Jwqo/tglwEdlkqqfQCoreCnDi2ni+g+AH7vBZv3wlrJ19AQgRIsXHuQoGrVC3ToSnAgOAQIT9gskTYBRcjGDkIM0+jg8wewmygl+AnYLJSADCmT087PJPk83PMRpOVnihW0De02WAghN1gBQLcofuNQWjT/OATiEXx/iluG6BLOf5iEBfMbWk1h/PMd2SWF7iPGzM2InenEp/+VGDmMSOpz+Te1EbGduWPLAFB/Op5qX2voGA2OyujkebicRLXVasXvfvc7fPTRR6iqqkJKSgqeeuop/Pu//3vTe5xOJ2bPno333nsPdrsdo0ePxvLly9GlS5cWfw6JzEK1wAjaaSv/gSWhdMjOLJxp4HdpFh/jp0Kdw/mKkPZ6fnq9gdwzJCEsJEEx7KrnX1MuO39Tw6Z7Vqs7yCKrBAs/4XIS1c888wy+/PJLrFu3DikpKdiyZQsee+wxJCQk4K677gIAzJgxA5s2bUJ2djZiYmIwa9Ys3H777cjLy2vx+KQxjL/TjBYgt+lu4HM5SIxOxoVyd8yhAgqgoRH8znUJDY3QSH4fTBx5N1siMDopIVHt88XSfUhIq7MZHLUC474K2oaAS1T/61//wrRp0zBy5EgAwG9+8xv85S9/wc6dO3HXXXfBYrFg1apVeOeddzBmzBgAwLp165CYmIitW7di3LhxLfocEtKvBi1/gTrjE+BZcPO/KzdZTjFSz8/ASKhOSsDp4GfE6D0qFSVU+wAQGjmE7qP08HG6D08X/phpQxV3Gikiln8uRKAISbUcw4cPx8aNG/Hwww8jISEB27Ztw+HDh7F06VIAQF5eHtxuN8aOHdv0NwkJCcjIyMD27dtbHCxIlCFyjvA7socm8RXjJJooPyvgduCPTOWPViV15/vYfoI/DSGxS2MH68Yobo0cACyV/IkqYxQ/syCRwg+OSaDary7nN4KKQClDtBx/+tOfMH36dHTp0gUajQZBQUH47//+7yYGx7KyMuh0OkRFNV8k4+PjUVbmf8HxJ1Fdd+YMXaLaLtCB/4VAQCIB9ne183Qd1T4AHD/MH5WtTuYHhx2h/qsL4e+WXXZ+H4zEufCQs3oAoCWXhVwC/WEK2gZKsLBjxw5s3LgRycnJ+Oqrr/DYY4/BbDY3lR38wefzQXWRFI4/ieqYGyYj9sZfBvSz/xyZXSKp9gHAIDGeKVCysZK1Avp04tewrbX1dB/9OvMXwU0C11QseRqpUaDBUYLpUqK0JTEZxj4fEkyXElCmIVoIu92OuXPnYsOGDZgwYQIAoF+/fti9ezf+8z//E2PGjIHJZILL5UJNTU2z7EJFRQWGDh3q164/ierMOVsC+dH9Qi2gPyHB5RAkUIYwkbndJRocJRQCJeTCG+r5c/enyYugBD+BBMWww8ZvYK4UyLp53dzvylLJD9RFoAQLLYPb7Ybb7UbQz5S31Go1vN6zqbJBgwZBq9UiJycHkyZNAgCUlpaioKAAS5Ys8WvXn0S1y+kBnNzU967TFqp9AAg38Lvj3V5+mvLLA1z2w16x/MyCVyCde7qOv3i47Pxdee0Z7oSNT+CarSnjl53YZEYAYK8XkDIlwymgMioBn9Lg+BMuJ1E9YsQIPPvsszAajUhOTkZubi7efvttvPbaawCAiIgIPPLII5g1axZiYmIQHR2N2bNno2/fvpcsU/wcEmpu7I5vAIgQEIGRaHCsb+DWHC0CwmFR8fyAxCUw268K4k+OqDXch6JKQOpXreNnkiQyJCqBDKi3URF6+r+OgEtUZ2dnY86cOZgyZQqqq6uRnJyMBQsW4Le//W3T37z++uvQaDSYNGlSEynTmjVrWiVRLdHxHSEwE28m8xMAgEcg9Z1Arv9KcF5IkPRIXFMd4cEukVmQgARttUQTJTsAlQhwJSBBgHe1EHCJapPJhNWrV1/ShsFgwLJly7Bs2bLWum+CRC3Q7ubf6LvL+PVGiQxJKLmcckogfV9+pJjuI0jFp/+VSH03uriLuUTAI7GQS0Ams8DNHAZpOoY2hERP0tVCu6XN0uj4O7ROIfxdf4NAQCLRs2Ak8+x3FdDp0Ed0ovswC2hDqFqRobtiH+QFqqPsNCWOQyJYUKCg3QYLjS7+XK7Vxa+TnxCQ2pbILLCzMJUN/J0mW3YZACqs/EkFh0CzmDGMSynd6OQ3aUpkFmxnTtB9SASHbnLvhauB30wugY6bV2jHwUJoJJ8muXM4XwktM4E/dy+RWfhoL5fBsU8c/3wndOMzOJrC+NdUSKckuo/ITtzzUarnNx8GRwhM2Lj55yIuOY7uo+4kVwskIoEvsCYBgX3ZVUO7DRYktCFqBFjFtAK7WQmJ6kby+agiT1sAQHUpv3O9rJ7feyEhvcxuMGYLFwGATqBJOkjLr8VLPAs1ZAbHRoFyrIK2IeAS1eXl5Xj++eexZcsW1NbW4uabb8ayZcuQlpbW9J6RI0ciNze3md3JkycjOzu7xZ9D4uIqFWiqcwh04Es03ZRZuGnjUgGiofrqWrqPOoERUEcdP6VbX8PtvfC4+PdeXTW/BOi28c+FpYqfrXLbuI3YjhpuZlIKl2r+b+8IqES1z+fD3XffDa1Wi48//hjh4eF47bXXMGbMGOzfvx8hIT/tFqZPn46XX3656WdjK9nzdAIjaD0FKIYlqJglgoWu5O8qLYa/05SYiU8QKG2pBVL4GrIiqwTPgkSPikSDo8QYOft8dJxpiKv9CXgIqER1YWEhduzYgYKCAqSnpwMAli9fjri4OLz33nv49a9/3fTe4OBgmEymK/zYgFtgh5YRxw8Wdpzk7zwkehZuIAskmUIEyKsc/GAhLZof9EgQlrFVX7UCQlINVaV0HxKLoL2e3wzKLkM0VJ2i2lfQdgT0qXJOGdJg+Gn3pFarodPp8M033zQLFtavX49169YhPj4eWVlZmDdvHsJa0WEtESwcEUhTStSwJaYhTtZwH1jdBEYnw81d6T6Ka/nXlFfgfAeRNU3YWgQAoA7lN7RKTFxIZC/Y3B0dZVS2AycWAhss9OrVC8nJyZgzZw7+8pe/ICQkBK+99hrKyspQWvpTFD9lyhSkpqbCZDKhoKAAc+bMwZ49e5CTkxPIj9Nm5J/i7/olFnIJHwdLuTXNHgJZHonGwMJKvgqhDKERt5zSUQiTRBgcBcToPGTVSYlMkgSUMkQLodVq8cEHH+CRRx5BdHQ01Go1xowZc0HZYvr06U3/z8jIQFpaGjIzM5Gfn4+BAwdeYNfpdDZlLc7B53FDpeb2LVQJqNJlJkXSfUhMQ+Qfr6Hal9gth8fysxdsKW9Apvei0c0tpzQ6+EGVxKSCBH+ABE05u+FUYtxXAkqDYyswaNAg7N69GxaLBS6XC506dcLgwYORmZl50b8ZOHAgtFotCgsL/QYLixYtwksvvdTstZjB96PTkF8G+uM39xHKf5iIqE4KqCnWkacVQgWauNh1eAAw6gREngQaHEPJkuQSCIni72Y9AuRSwQL6MuwygTEqlmpfQdtBewJHRJy9EQsLC7Fz50784Q9/uOh79+3bB7fbDbPZ7Pf3c+bMaRKsOocBz35G71uQyCxIcDlINDiyU/gS31ODwKis3dUxatjs3azEMTQKnAsJdAS6ZwmuCAl0DPkz/wi4RPXf/vY3dOrUCUlJSdi7dy+efvpp3H333Rg7diwA4OjRo1i/fj3Gjx+P2NhY7N+/H7NmzcKAAQMwbNgwvz71ej30+ubRM7sEAQBhAvLRHUV4RKJMwEaQgHpfqMA1JbGbdTRwe0gkav1OG79cw671A4BdgEKcfT7sNRVU+1LoII9zvwi4RHVpaSlmzpyJ8vJymM1m/OpXv8KLL77Y9H6dTocvvvgCS5cuhdVqRWJiIiZMmIB58+a1SqJaArUCrIH1AvoTEg2OXnKpQ+J7EtGGqOM/2NljbgCf/VAfwU9LS0xc6ML4ExcSnDO6UO5odEeQVe/oCLhE9VNPPYWnnnrqor9PTEy8gL3xShAiQG4zOIV7gwBA12h+U51E9uJY1xiq/f7xXG56AKiv4M/dZ3S+sCcn0Nik5/faRHbiXrclu/k78qieV87z0lLUV/OzFxEx/GfIGfJGLqRTF6p9KXSABOtF0W61IYLU/F3gGQGlw5QofjOaW2AcwkruHxGR2Y7iC/JISJJL0D1XnOQuHhI7zdpSvjqnRBnizEn+Y5w9YVNXeoxqXwrKNMQ1CI1AV3mkwKRCXAh/F8gWeQKAKnLd1CTS8c0PQNUqvg+JMgR7GkKiwTE4MpLuo6GW7gKGYP4zhM1EqRcgyFLQNrTbYMEQLKANEcun5u0UzD8FEtHuQDLdc6xRYORQoMGxo2hcNFjav5CUS4AF1i3As+BoaDnz7ZWCfT46CgmXMg1xDaKeTC8MAFsO89OUNfZIug8JUqYv95VT7d/ZJ55qHwDCovkloV2n+YuHRArfQ25olVg8JEoE3o6yCJKvqY4SLHTgKkT7DRbcjo5xcUnwB0gECxFkAqsTFv5OU6IMITGZIgEJpUM2tAZ+Y6CDHxvCKFCi85AnRyT6hRS0Da264xctWoQPP/wQBw8ehNFoxNChQ7F48WL07Nmz6T0ffvgh/vKXvyAvLw9VVVXYtWsXrrvuumZ2nE4nZs+ejffeew92ux2jR4/G8uXL0aVLyztiGwUaxSTY9qodAsGCwALF5qRgN1ACQE05P30vcU0ZIriTKQBgCOGWATuKtLMxij9xodVLXFPcUVa3gy+wJoGOwpvjD626W3Jzc/H444/j+uuvR2NjI1544QWMHTsW+/fvR0jI2VqszWbDsGHDMHHixGYaEOdjxowZ2LRpE7KzsxETE4NZs2bh9ttvR15e3jXFtZAsoHToFOB1FxgcQRfyd9VZYFRWQkiqi8BxNLr4XA4uO7dkIxEsSCjXSvSPWGv55TN2GULie5JAxw0VWhksfP75581+Xr16NeLi4pCXl4ebb74ZADB16lQAQHFxsV8bFosFq1atwjvvvIMxY8YAANatW4fExERs3boV48aNa9FnYUvkAjJRYqjATrMjRLvBAgu5s4OUhGxnTtB9sGvMLhs/f99QxefVsNeU0X1I9Kg467lCcWodP+CRQAepMvpFm/JwFsvZGzo6uuVjL3l5eXC73U30zwCQkJCAjIwMbN++vcXBgsQusFKAZ0GCbEiCo+BweT3Vvjud3+AYGsl/YNUJlJ10wXyBpPBY7vRLpUBmIdzEJwJyO/g7ZoNAqUNTXky1L1GuUdA2XHGw4PP5MHPmTAwfPhwZGRkt/ruysjLodDpERTV/2MTHx6OszH8U7k+i2tvoRpCGWzd1CZQIJBZyiWjXQqbGFhDOhFrDr9dINLRKNIsZw7gNrewaOSAzOhkan8r3IRDkWqO4wbrEZIoEOkAS96K44mDhiSeewA8//IBvvvkmIB/E5/NBdRHCGn8S1VGZkxB9/eSA+L4YJIiA9p8RELMRiBZ6mfkZEjaqT1fRfSQKPNglBLHYnBQSPQsSUGv4TZQ6gQZHBS2DtwN3LVzRlfzkk09i48aN+Oqrr1o1wQAAJpMJLpcLNTU1zbILFRUVGDp0qN+/8SdR3e+ZT+kyuUaBUoddQBZZIliIJJNkdYS+C0Cm90It0M/DlhRW6/lBlcRuVh3MJ+Fic14AgNbAZQV11ldT7StoO1oVLPh8Pjz55JPYsGEDtm3bhtTU1qfYBg0aBK1Wi5ycHEyaNAkAUFpaioKCAixZssTv3/iTqPZ6GgEPN414wsJ/mBw7Y6P7kAgW1GSOglMCQZVER7bEcTRY6ug+2JkFRw2X5AuQ6e2wC5DH+bz8UVmHhU9Q1xHQQfY0ftGqYOHxxx/Hu+++i48//hhhYWFNPQYREREwGs/uBKqrq3HixAmcPn0aAHDo0CEAZzMKJpMJEREReOSRRzBr1izExMQgOjoas2fPRt++fZumI1oCCUKV8Wmd6D5SBcYzJYKFMrI2xLjufO74ebH8JqsRKfzjeMUpwEzo4y60HoEOfwkNDYnJFInjcFq50xDh5m5U+1JQpiF+xIoVKwCclak+H6tXr8aDDz4IANi4cSMeeuihpt/df//9AIB58+Zh/vz5AIDXX38dGo0GkyZNaiJlWrNmTas4FjyN/OakzUcr6T6qrQLUvAJX8PEqLqlKhACBjoRa4+eF/B2aRAe+w0am//XwSdfcAuOZXjLzoZQPNiSuWQVtQ6vLEJfDgw8+2BQ4XAwGgwHLli3DsmXLWuO+uY0QPrmN3cV/YKWbBERgBKLdglPcB69eoA4fk8ifItAJHAe7vgwAeiOZwfEaImdrC7QCu35DOL+cwobENSuBq1WG+Oqrr/DHP/4ReXl5KC0txYYNG3D33Xef97l8eOmll7By5UrU1NRg8ODBeOutt5Cent5iH+2W4J0tkQvIdK53i+aXIdwC0UJv8jRErIAMr83CZz40C0zYuASUDu313Ie7RGZBosFRonFPI7DQss9HR8ksXK1pCJvNhv79++Ohhx7Cfffdd8HvlyxZgtdeew1r1qxBjx498Morr+DWW2/FoUOHEBbWsg1ruw0W2JMQAFBczecrT4/rGBH190Xch+Itafy5++Aw/kJ+UqDBUaJxzxjG7fLXCExDaAW+J4neC20I/zjUWm6w3lEyC1cLWVlZyMrK8vs7n8+HN954Ay+88ALuvfdeAMDatWsRHx+Pd999F48++miLfLTbYIGdBgWAAQn8m7BbpIBinEBu7MZu3I7sFIFMUpCAiEZ6HL/sJCEkFdmJGyxUGPgjhxHx/ABUopwSHc9faOtOchk7Jdg0JRCoR60/IkJ/U4EtQVFREcrKypqxJuv1eowYMQLbt2/v+MGCXaAxsEaAmrfYItDgKBAs1Du4DadWlwCbppOf+q4gT40AMkJSbBEmj4ufgZGAxDiu085dyAGg0cEd8ZbgipBAoPhg/BERnj8k0Bqcm1qMj2/OwhkfH4/jx4+32E5AJardbjd+//vf4+9//zuOHTuGiIgIjBkzBq+++ioSEhKa7IwcORK5ubnNbE+ePBnZ2dkt/iwSVK1RBn72osTCfyg6BW7EYLIglobM4wAADgEtEI0Au6KM0iG310ZCHMlSzp92kugfsdbyx3HZ58Nh4Y5mSiFQj1p/RIRXklU4Hz9nSL4Ua7I/BFSiuqGhAfn5+XjxxRfRv39/1NTUYMaMGbjzzjuxc+fOZramT5+Ol19+uennczwNLf7gAkx4VQKLR89Yfgqxwc3fMZeSgx6tQLAQFiXAse/iB7nB0Xx+kNjO3IbWyqP83XJwZCTdhwQHArskBADWcm7JJojcE9HecKUlB38wmc7yx5SVlcFsNje9XlFRcUG24VIIqER1REQEcnJymr1n2bJluOGGG3DixAkkJSU1vR4cHNx0ENcqggQWKKfEPLmAWBWbwVECdWSuCADwCnBeOG0SqW9uZsHdwGehlNhw1FfwZbAdIfyF1m3jno8gAcEtCVyLtPSpqakwmUzIycnBgAEDAAAulwu5ublYvHhxi+20KSfaEolqi8UClUqFyJ9F8evXr0dsbCzS09Mxe/Zs1NdzJY4VKFCgQIECJjw+X0D+tRZWqxW7d+/G7t27AZxtaty9ezdOnDgBlUqFGTNmYOHChdiwYQMKCgrw4IMPIjg4GA888ECLfVAlqh0OB373u9/hgQceQHj4T2nLKVOmNEU7BQUFmDNnDvbs2XNBVuIcrpZEdblAM5rE6GSwVoDBsZLbAOUQ6LuQkPqtE+i1cQnM9jts3DKBhBaBRFOdxHHowvg9C2y+CI8ARXlHxs6dOzFq1Kimn8/1O0ybNg1r1qzBc889B7vdjscee6yJlGnLli0t5lgAiBLVbrcb999/P7xeL5YvX97sd9OnT2/6f0ZGBtLS0pCZmYn8/HwMHDjwAlv+OkPDr7sXkQMuJJ8IJA6W8rMdlgb+xIUE3XNdLbdnIbeYvwDWCfBqHK/k+zBE8ct7bGVLQwS/78Jp5997RoFzodXzyxA6MpeDREOrBK5WGWLkyJGXZFhWqVSYP3/+FU1TnANFotrtdmPSpEkoKirCP/7xj2ZZBX8YOHAgtFotCgsL/QYL/jpDBzz7GVRqbmbBHMGf7ZdYyCV89EzhN6SxYRCo/caEdoxGLo2WGyyogvj9BBLn2yVQXZXgnGFncUNj+VTrEuggE6B+EXCJ6nOBQmFhIb788kvExFyeIGbfvn1wu93NOjXPh7/OUAnRn1qBXb9FYHcjESy4GrmNmmfq+CWh0r3f0X1U3cxv5JIQSHLauR34jQJUzGyuCECIUlrgGeJt5PqwVVdR7StoOwIqUd3Y2Ihf/OIXyM/PxyeffAKPx9P0nujoaOh0Ohw9ehTr16/H+PHjERsbi/3792PWrFkYMGAAhg0b1uLPEhbX8pGPK0UfM59tL1yAy0EiNfbpXm7X9y/6+Q8kA4l3ew6i++hLHjkEgA81/B0zuwyhFjgGn0AQrdbx+2AkprYkMj0dAdfiNESgEFCJ6pMnT2Ljxo0AgOuuu67Ze7788kuMHDkSOp0OX3zxBZYuXQqr1YrExERMmDAB8+bNa5VEdaMAd8BpAcKkGAGBJAmN9dPV3B3UEYGxxpaoqrYVEteUxMw6mxq7oyxOagGNC4lyiiqo/ZedJCDBlnu1EFCJ6pSUlMu+JzEx8QL2xiuBxK4gIpi/6//uOJ+5TKIM0T+Z27NwwsJP59YUH6D7CDX0p/uQQKO7/RdnJWixJdQzHTZ+cyA7Q+Ko40+NKGgb2q02RJAAba7EIhtq4J8CieM4doY7OpkhkL6X6MCXIK9yCozrNei4AmgiPQsCvR0dRXqZrQ2h9vKDKglIZHGvFtptsCCRMpZ4sMcLyCJLcBTsOMptUOrTic9HISH1qxMIciXAZj/0ujuGtDObnwCQKXW4yIFVZEzC5d/UDiCxMbtaaLfBgrOeTwd7rIIbTQOAntwoBgCNEjwLFm5Kd1cp/3xLCDD9cJK/m9UYBAIrPffRoRXQVJCAXoAwSW/kbzjYPAsSjaASUBocr0FINHFJLOQdBSFh3PMhISQloRAYJ5FJEqj/2siLB3snC8gEhxIMjhILLft8KD0L1z4CKlH9czz66KNYuXIlXn/9dcyYMaPpdafTidmzZ+O9996D3W7H6NGjsXz5cr8ETxeDMYyvtCaBXgLjmRLiRadquNMKboFj6Cg9CxqBxYPdge8TqGFLEAHZa8roPnQh/GcIG6EdREjK03ETC4GVqD4fH330Eb799lskJFxYi5oxYwY2bdqE7OxsxMTEYNasWbj99tuRl5fX4vFJh40/gnaSvAB2JBSf4O487N0uT+7VVoTH8lkoC8v5lH56gaAnJJybIWGnvQEZ1cmQTkmXf1MbwS4JAQrdc0uhlCF+xOUkqs/h1KlTeOKJJ7B582ZMmDCh2d9YLBasWrUK77zzDsaMGQMAWLduHRITE7F161aMGzeuRZ9FIoXYVaCprlRg7p7NrggA5gTu7kZiR152qIDuo98dveg+NgvsZivJc/EegQbHM0WFdB8SAkkSWRj2Ym45wR9bVtA2tCkk9SdR7fV6MXXqVDz77LNIT0+/4G/y8vLgdrsxduzYptcSEhKQkZGB7du3tzhYkIApkq8NcbKG/zBRkwlVAKBLVDDVfqQA02VUkv9yWiARFyrQjBbM35Ubw7ilDlUrCNquFBJlJ4meBX1YJN1HIznoCY3iM/JKQJmG8IOLSVQvXrwYGo0GTz31lN+/Kysrg06nQ1RU85RvfHx8EzX0z+FPotphqYBKzU2/WR187vgDRzoGJ/rAPtz673EBRcj6shN0H1UN/eg+JOrk7LFDicyhBJyWSroPieBQInvREaCUIfzAn0R1Xl4eli5divz8fKhUrUsb+3y+i/6NX4nq/ncj4rp7W//BW4EbEiOp9gFgVxL/RpcYnUwnkyYN6cLvJ1ghQDnbz8Qnl5KYu9eR6+QimgoSGho6fnZSAuxrSkILREHbEFCJ6q+//hoVFRVISvqpqcfj8WDWrFl44403UFxcDJPJBJfLhZqammbZhYqKCgwdOtSvP38S1emP/++VfPRW4ZsiPqGKxEIukRrbdbyW7oMNicVj58laug+JaQiJ5kA2NDp+aUsicJPwEUQOpDuONsTV/gQ8BFSieurUqU1Ni+cwbtw4TJ06FQ899BAAYNCgQdBqtcjJycGkSZMAAKWlpSgoKMCSJUv8+vUnUS1Rp+sRx29wlPDhFriCtx3m1mYlMgsSo3TmcP5OUydABBQey+1RkSBlChE4F/YafuYwyhRJ92E5wf2uIhISqfaloJQhfsTlJKpjYmIQE9N8xE2r1cJkMjVxMUREROCRRx7BrFmzEBMTg+joaMyePRt9+/a9INC4FCTGheIE1NyCBXZoEsFC105c3gsJlmTL6eN0H0btDXQfWn37T+lqDHweFQkBJo1A0OMT0PRi96g0WPgMrQrahoBKVLcUr7/+OjQaDSZNmtREyrRmzZpWSVQHh/IfiNFGfpoypAOkcwHAqOMeR3yIxDQEnxjGLDAN4bLzJ2wa3dzF3GXlq7HqBO5va6VEo2Yk3YOrnns+Ijp3o9qXggQB3tVCQCWq/aG4uPiC1wwGA5YtW4Zly5a12t45SJwUU6hEsNAxKKWv7xxJtR8Dvk6HvZ6/yCZH8oOFsGh+E2WvbtxSx6Ev+UF0Qkok3YdE9iKWzHECACc03GdhJDkzKQWlZ+EaRLAAx/6/SvipsVu7RtJ9SOCdnSVU+32yelDtA0BkHP+h+41AI6i1lh9YHTzKbf71CDD6nTrGz140VPN5FsqK+Y9x9uhk+bFSqn0pKD0L1yBcTj4HwqEz/BRi33iBmqbA9etq5BZOC6v5TJehEfyu8kMV/GtKgqOgwcJtcGR33wOApZzPgeBx8bNVDVau4qsE7LV8bhAFbUO7DRYayJLIAFBYzn/obggqp/uQGJ2MJjeDrtt5kmofAOwCD10Jeu+OoOAnQfcssUBJBG5eAcIkj4t/3XYEeJTMwrUHicxCcgx39wQA3WP4tTqnh98uXVHHXWj7duGPoH2Ww9cK6BLFz154BRZatkS8xI5cgvmQ3RgIyGRh2BLVUZ06yOik0uB4Fi2RqH7wwQexdu3aZn83ePBg7Nixo+nnkSNHIjc3t9l7Jk+ejOzs7BZ/FjaDHABEC0xcmAV6LyRGJ4PJ0xASI6b2mgq6j4hgftMseyGXgARJjwSFcRC5MVAKbEZNCQ0NBW0DRaL6tttuw+rVq5t+1ukufHhNnz4dL7/8ctPPRmPrLsZGN/9GtzS46T6sLv5xuAUyC+z0uoSol8RMvITeiATYi7kEK6FEE6XENaUxCPggnw8J9lQJKNMQP6KlEtV6vR4mk+mStoKDgy/7nkvBI7AAmiP4C5RWQHo5SMUfz2SXbDqH8c+FxAMrXiCT1BEgUUqR0CMQyV4IZJLYgZVOy2dolYAyDXER+JOoBoBt27YhLi4OkZGRGDFiBBYsWIC4uOZUuuvXr8e6desQHx+PrKwszJs3D2FhLR9dUwtQ+iUJdMeH6vjlFIkLODmaGyxIlGui4vn8BH0E6L21AjtNNsVw5WH+Ahhu6nL5N7URdWX8xtxOiXyp7aojXPsS8vAK2oaAS1RnZWVh4sSJSE5ORlFREV588UXccsstyMvLa9J3mDJlClJTU2EymVBQUIA5c+Zgz549yMnJ8evLr0S11QqVmlsPrLbzyxBHBaSXJYIFdk9BQXk91T4A1FXxz0VpPX/iQh/BXzwiBJp/2QgVKG3ZqgUaWgWa6thZGImysgSUaQg/8CdRDZxtVDyHjIwMZGZmIjk5GZ9++inuvfespPT06dObvSctLQ2ZmZnIz8/HwIEDL/DlT6I6KnMSYm64/0o/foswrhs/Nba7jE+g4yBzIABA707cxcOg5pdrnj9xkO5jZEoW3YeEmqLTzu290IpoQ/A3AxIlgkY3//7WBnOzbs4O0uAoMaZ+tRBQiWp/MJvNSE5ORmHhxcfSBg4cCK1Wi8LCQr/Bgj+J6sw5WxCk4ZYiDF7+LtAUJlBvFBCaYS/mESr+uZBQOgwWoPd21vOZR6213OvW28hfyG11/EySvYbP5cCeVAAAdwP3mpJoaFXQNgRUotofqqqqUFJSArPZfNH37Nu3D263+6Lv8SdRrdXza9jVHv4OrbCKT9oiMQ1RR+4p6BfHT3uHmZLoPsqs/EVQgqNAgsCKDVc9l7IaADxO/rlwkzkQAJnJkY4AJbPwIy4nUW21WjF//nzcd999MJvNKC4uxty5cxEbG4t77rkHAHD06FGsX78e48ePR2xsLPbv349Zs2ZhwIABGDZsWIs/i9YgQAfr5NfRKmz8h65ETTPCwG3UtAmkWiX0RqwSxxETT/dhCOZmFgxR/GOQQHBMZ7oPtnw0AATHJFDtSwQ8ElCChR9xOYlqtVqNvXv34u2330ZtbS3MZjNGjRqF999/v2nSQafT4YsvvsDSpUthtVqRmJiICRMmYN68ea2SqFap+DXsfQI8/rUCTZQSF3AhuTlQLXC+6wSaTSWuKY9Aj4reyA0OJWiSQzrxM0kSi6BeQGq7jjzKGhrPl4eXgBIs/IjLSVQbjUZs3rz5ku9JTEy8gL3xStBAphcGAK3AeGZqFD+9LjENsesk96E4uitXEhmQmYkXYaKsOkX3URvEHTu01/A1UyR2/RI9CxJoqDpNta/0LFz7aLfaEBqBh26DwDjP4M782X4JVrF/HuPWf0MEGgNH3pJG92EV0DTRhfEDq+79rpxQrSUo3cO/v7tndqf7OLKT7kLkOKqO5FPtd7u+P9W+FJTMwjWI8Fj+jrxPJwECHQEGR/5jF7in78UbWAMBu0Bqfeunu+g+Zoy4j+4jbWAK3ceYdG5Pwd6k3lT7gMyGI7kvP70+vFfc5d/URhztcT3VfofhWVCChWsPdZUdg0DH7ekYnOjFtdyu70hyjRwA9GGRdB8SJFwH/3WA7qOsuJZqv/rYHqp9ACiK4i+ydaXH6D7KirvSfZw5uOPyb2oTbiTbV9BWtNtgQUNWOQSAeAHVyaRwAX56ugfgf3/gzmFP7sr/nuKSIuk+YslTBADgdgg0UZLHcSVUJz2N/JKQxOikxLQT+3x4O8hoppJZ+BEtkai+2JTCkiVL8OyzzwI4S988e/ZsvPfee7Db7Rg9ejSWL19+WYInaRys5LMrhgikQr0C4QL7Jinz8stOEnojpQL8BBKNmg4bV2VUIliQYA2UYHDsCGJVEgGuBJRg4Ue0RKK6tLS02d989tlneOSRR3DffT/VamfMmIFNmzYhOzsbMTExmDVrFm6//Xbk5eW1eHzSKTByKIEyKz+ilpiGUJN7L07X878nRwPfh1Og90IXzJ+7N4Zxu9d1IfzGXwmVUUM4X6fDEMLXuNCHcqnvJQIeBW1DwCWqfy47/fHHH2PUqFHo2vVsXc1isWDVqlV45513MGbMGADAunXrkJiYiK1bt2LcuHEt+iwSwYLENIRFoDtegsGRDYlF1iewK5DQ6ZDYpTls3MDKZeNTVhuj+MGhq4OQDbHpnjsKlMzCRXAxiepzKC8vx6effoq1a9c2vZaXlwe3242xY8c2vZaQkICMjAxs3769xcFCcCifbU8bxE9LG8j6FoDMxIWJrOAXJEDKJFH71QoIYmkEtAJCI7k+ygR2mqFxfJ4Fy2l+QGKM5I/K1hznng8JgiwJKMGCH1xMovp8rF27FmFhYU1qkwBQVlYGnU6HqKjmaa34+Pgm+uiWwCWwIy+r59ZlpSBRhvihhLuD6hHDVyGUUO+rF7hunQKaB9Ul3J4CibS05XQR3YeE/oS1gl9O8ZIZHBsEiMQUtA0Bl6g+H//v//0/TJkyBQbD5XedPp/vos2RTqcTTmfzxjCdXoUgDZfm1BTGrwX2jedzOUigkExjzNaeAIDoeH5AEqbnH4cEM2F0Z+7Yoe3MCap9QOZ70ofyd/3scwEADnIzaFgCn1hKAo1KZqE5WiJR/fXXX+PQoUN4//33m71uMpngcrlQU1PTLLtQUVGBoUOH+rW1aNEivPTSS81eM988BQkjp17Jx28xrhdgVxTIrkMgsYBxPbkPrLRofmq9aG8J3cf1Dwyg+zCE8xscU7tzF8HDX9ZQ7QNAt35ccSQAOPTtYbqP4HB+SdZhqaTa7xLdMTZNShniR7RGonrVqlUYNGgQ+vdvTuM5aNAgaLVa5OTkYNKkSQDOTlAUFBRgyZIlfm3NmTMHM2fObPba4N9vhZ3cIX9ahJSJf3G5BS7gEgt3ntwcxk+1xnSOpfs4XssvbUmk1w+ReU4kyhDHD/JHJ63l/HNRJqA6yR5ltZJJ3aSgBAs/4nIS1edQV1eHv/3tb/iv//qvC2xERETgkUcewaxZsxATE4Po6GjMnj0bffv2bZqO+Dn0ej30+ubRs7WG3517TIBt78N8fq1O4gK+dxCXI+MLsvYEICNRLdEHY4jgj+uxYRSQqLbXcHfLQMc4FwB/lLWjSFR3ZARUovocsrOz4fP58Mtf/tKvnddffx0ajQaTJk1qImVas2ZNqySq3Q38iyvvRC3dRym5MRC4vFpoIPAvcne8UYCxs6yYn/qWuKYk5J0d5IkLicyC08oPQCW4HCTYD31ebvNvR1Hn9EjUfK8SAipRfQ6/+c1v8Jvf/OaivzcYDFi2bBmWLVvWGvfN4BV4mHTtxG94YzOuS2F49xiq/ZIafppSK9B8KHFN6QV2s3FduKlvywn+Ihtm5jfVSSzk4bH8MoS1jHvddpQMjFKGuAYhcRNWC7ArBglwIJA3BQCAOvJI4PEqfkmoruw03Ue1lS+DLcFBYiT3kGiM/IY3CdVJtZEfHAYLaNjoybLnCoPjtY92GyxIjCQNSeX7yD/OT31LRLu9yXLeXSL40xA5m/iLx4DESLqPHIFm0Ehyf4cEZbUEJAISnYAiK7uc4nEpDY7XOtptsBBpNtN9jEjmP7CibutF9+EWSC306cQVegrV8pkuF6byhcxuSuJfUz/cyGfDuyvddPk3tQEPHeQ3H/brx2+iZGumAMDEgfzrdm45V1TPEMLlzJGCEixcg2gU0G2QOPGRArsCiZ6bMw3cMkRUKP8gzhSdpPsQYHvG1jz+hE0Feay4trScah8ADgssUG4n/znlEtAbYZ+PiHg+sZSCtqHdBgtRAsyHEbVH6T5ColPoPnxBAgEJmV0qaO8Wqn0AMEbxeRaiHBV0H3aBXhv2AiXB4Bh3U2+6j8K9/KCntoEvqueo43JSJKanUO1LwSPRIHaV0KpVZNGiRfjwww9x8OBBGI1GDB06FIsXL0bPnj2b3mO1WvG73/0OH330EaqqqpCSkoKnnnoK//7v/970npEjRyI3N7eZ7cmTJyM7O7vFn8UtwLFvjeZ3S0vQg3oFiJ8qbNwHVo/EdKp9ANBoC+g+ao381HfF0U/pPnaTq0INVfxm04rSerqPqqN76T58Pv/aPIFE/Wnuxqmhrh/VvhSUMsSPyM3NxeOPP47rr78ejY2NeOGFFzB27Fjs378fISFnu36feeYZfPnll1i3bh1SUlKwZcsWPPbYY0hISMBdd93VZGv69Ol4+eWXm34+n9TpWoFFIIUYZ+DnpVU+frT7VSV3tr9XGP/Bbk6Nuvyb2oh6F/+a0gow+qnV3GhBYpSuppzPR2GM4vZ2APxzAfBJskoPHaTaP4vxAj46LloVLHz++efNfl69ejXi4uKQl5eHm2++GQDwr3/9C9OmTWsibvrNb36Dv/zlL9i5c2ezYCE4OBgm05XfSB4PfwG0C9QCa1z8bmmA/zBhJy/c8T0v/6Y2wtGwne+jUUAG28BtNgX4egQSo3RsmW0AcDsk5ML5gnfsYopEUCUBJbNwEVgsZ9kHo6N/GjEcPnw4Nm7ciIcffhgJCQnYtm0bDh8+jKVLlzb72/Xr12PdunWIj49HVlYW5s2bh7CwsBb7Dgnn3yBqAZWnaDW/3uhT8xu5ItiERgLZkRABQR6B5ngYgvmjk3Ex3ICErSgLyIwchkTxszzh5HMBADoyz4K2BcrE7QGK6qQf+Hw+zJw5E8OHD0dGxk81sz/96U+YPn06unTpAo1Gg6CgIPz3f/83hg8f3vSeKVOmIDU1FSaTCQUFBZgzZw727NmDnJwcv778SVTb62302V+JEy+xkEPFzyxYXdweEpWX36PiEcgkSaiMVh0/Rvexx8ENcl02vvbLqf38BmaXAC29rYYvtW0n95B0FFImJbPgB0888QR++OEHfPPNN81e/9Of/oQdO3Zg48aNSE5OxldffYXHHnsMZrO5SShq+vTpTe/PyMhAWloaMjMzkZ+fj4EDB17gy59EdcSA+xA5cOKVfvwWQUIhcOsx7vwyIHMB94rlTqd8UMjvWSjez59U2F/BP9/2Gn4Hfkcg6WkU8OEkSzsDgNfNn35h0+tL6JkoaBuuKFh48sknsXHjRnz11Vfo0uUnQhC73Y65c+diw4YNmDBhAgCgX79+2L17N/7zP//zoqqSAwcOhFarRWFhod9gwZ9EdcaTG+jRaLAA+5rVIbBjFggWLOTplK7R/FSrKYXf4BgmoD8R3f3CeyjQiO3MVSG0lhdT7QNAVJeudB9aA3/EO6pzAt3HiZ1fU+2HxqdS7UtBySz8CJ/PhyeffBIbNmzAtm3bkJra/AS73W643W4EBTVPe6vVangvMX+6b98+uN1umC/CyuhPotoYzq8Fdg4XqP0KyCK7BUYn+5u4D0WBflY01HGJhgAgMYJ/vp0W7kw8ANQbueUzj4D2i0tg/Lqhik+QJaFs2ejkZmEaHR0js6AECz/i8ccfx7vvvouPP/4YYWFhKCs7KysaEREBo9GI8PBwjBgxAs8++yyMRiOSk5ORm5uLt99+G6+99hoA4OjRo1i/fj3Gjx+P2NhY7N+/H7NmzcKAAQMwbNiwFn8WHflhBQBxwfxd4GgB/QmvAIVjhJ6bhZHoH9EIUEqHC0htJ/Ti75jvuZm7E3z92AGqfQAYfnMK3cf3As+pXn353B1fk4Oe5P582nsFbUOrVsMVK1YAQNNY5DmsXr0aDz74IAAgOzsbc+bMwZQpU1BdXY3k5GQsWLAAv/3tbwEAOp0OX3zxBZYuXQqr1YrExERMmDAB8+bNg1rd8gepXqCTud7F386G6fgLlESsu+8Md+eRFsPvlq48VU334RYIeqwCvTY5P5RS7UvU4fPzuccAyJDHnTrFbwZlq04W79pHtX8W/svggYSSWfgRvhbsUE0mE1avXn3R3ycmJl7A3nglcNr5N6EEj39YA78ZDUH83WyDm7uYGwRORko6v/YrodNRfiCf7sNWzc0s2M6UUO0DQHUJP6sncRz15fzMAvs4gmP4954ElGDhGkTZof10H2/t6Eb3cbyqge5Dgq98aHeursK3J/hS3iEh/Nrv2nx+DVslEByq9VyyIYlROolav8RxqCWOw8M9DoljUNA2tNtgIaQTX4b3pq4xdB+mCH563S6g0JmZwG04Lbfx09J//5a/Cxw6Oo3u40/a9r8IqnV85kOvQBOlLpQ/YSNB761qRYn4iuwLBLgS8F2FzML8+fMvoBaIj49v6ikMFNptsOAhd+cCQLBAw5spVGAaQuAC3n+G2808uAv/gWgRyPJEGQSYCYP531W0mbsIVh7mBzwRCYl0H3Vl/EUwPJYfkFhOcIO34Bj/k3DtDd6rVIZIT0/H1q1bm35uTf9fS9FugwV2pAsApfX8UTo2PwEgMzrJbikol5BdtvOpt0ut/GtKAo1ubmmLnfYGZBg7JdAokDlkZ5JcNj7pWnuCP9ZifxQC56DRaNqktdQStHoaYsWKFSguLgZwNpr5j//4D2RlZQE42wD50ksvYeXKlaipqcHgwYPx1ltvIT39J3lhp9OJ2bNn47333oPdbsfo0aOxfPnyZuROLYFEvZHNSggADQI3ulugZ6GBvHiYwvjnu5NA9qJrFD+9Htctme5jxPXcXfnx7/jfU/oA/m72yEF+JqlfP36DY+le7uYspR//mpVAS4YAWgJ/rMXz5s3D/Pnz/b6/sLAQCQkJ0Ov1GDx4MBYuXIiuXQM7Qt2qYKFLly549dVX0b17dwDA2rVrcdddd2HXrl1IT0/HkiVL8Nprr2HNmjXo0aMHXnnlFdx66604dOhQk0jUjBkzsGnTJmRnZyMmJgazZs3C7bffjry8vFalTiQahzwCres7T/O54yWOY3gSNxVa1cDf9Zfs42sq2FyD6D5qK/i7tO8OcKmxJe7vo4er6D6qjhfTffxA98DHyUL+uZBAoHoW/LEWXyyrMHjwYLz99tvo0aMHysvL8corr2Do0KHYt28fYmIC13fXqmDhjjvuaPbzggULsGLFCuzYsQN9+vTBG2+8gRdeeAH33nsvgLPBRHx8PN599108+uijsFgsWLVqFd55550m6ud169YhMTERW7duxbhx41r8WQwhfPrfHpH8Kk2ojt9EKdGzwCYbioFAMxp5lhwAesXyG1olmsXYJRuNIYRqHwAa6vh8FBLnQoLLQa3jXreuej7HiQQC1bNwqZLDz3Eusw8Affv2xZAhQ9CtWzesXbv2goCjLbji1dDj8eBvf/sbbDYbhgwZgqKiIpSVlWHs2LFN79Hr9RgxYgS2b9+ORx99FHl5eXC73c3ek5CQgIyMDGzfvr1VwYJEnc7p4zc4hgqITroEehbKbdzFI1qAejsilh+ASsxhu238bJVGyy3ZOOv5o7KRnfgBiZ1/GCJstk4r90BiuvWl2v+/hJCQEPTt2xeFhYUBtdvqYGHv3r0YMmQIHA4HQkNDsWHDBvTp0wfbt28HcHZk43zEx8fj+PHjAICysjLodDpERUVd8J5LjXn4a/YICdfQNe8N4EfsWh3/Rpege3aRF0F13UmqfQDwNPK/J6OXv5uV4NlnT45IlCHOlPA1NNwC58Jay58MCyJnSKwVfP4RCfiugZ5Zp9OJAwcO4Kabbgqo3VYHCz179sTu3btRW1uLDz74ANOmTWvGyKhSNW+L9/l8F7z2c1zuPf6aPaIyJyH6+smt/fitgqWRn1k4UsOXLJaYhugWxU1T1oXzG6AiOwV2LtkfrCp+GSImma8NkUFuqis/wCX5AoDEXp3pPipK+E3SCV35o5NWMktkTHIK1b4UAtXg2BrMnj0bd9xxB5KSklBRUYFXXnkFdXV1mDZtWkD9tDpY0Ol0TQ2OmZmZ+P7777F06VI8//zzAM5mD85Xj6yoqGjKNphMJrhcLtTU1DTLLlRUVGDo0KEX9emv2aPPb9+Hs57Lif7PEj7n+nfH+XlKp8CIWH/yJIEEH0XFCX76/rtT/OZDSzm3+RAAjh3nno+GqtNU+4CM6qTEjrlCQJys/vRRqv3oJD5ZWUfFyZMn8ctf/hKVlZXo1KkTbrzxRuzYsQPJyYHdYLW5g8/n88HpdCI1NRUmkwk5OTkYMGAAAMDlciE3NxeLFy8GAAwaNAharRY5OTmYNGkSAKC0tBQFBQVYsmTJRX34a/bQCjCjpQqMudU4+F3+EkQhncO5O+b0Tvx+goRu/AbHuBB+0GOM5B9HSDj3OMIS+FTrDnKfDQCEdOJrHkTH87MXleTzcbXIjAKNq3Ec2dnZIn5aFSzMnTsXWVlZSExMRH19PbKzs7Ft2zZ8/vnnUKlUmDFjBhYuXIi0tDSkpaVh4cKFCA4OxgMPPADgrJT1I488glmzZiEmJgbR0dGYPXs2+vbt2zQdoUCBAgUKFLRHXA26Zym0KlgoLy/H1KlTUVpaioiICPTr1w+ff/45br31VgDAc889B7vdjscee6yJlGnLli1NHAsA8Prrr0Oj0WDSpElNpExr1qxpNT2lx8Vv6jksQP8rISTlEihDdI3m7vy/LOKXaw79iy+TWziKv2N2O/ljpvXV3PtPgs5dYnTSYeHzB1Tr+SPejXZuo6bLzj/fCtoGle9qdGQEABmzP6H7yP/9DXQfjfpwug+Xhx8sGFXc7nWfit9s2vOJj+k+Di+74/JvaiNu+MPXdB9J5Ka67R/9g2ofAHoMv5Huo+JELd2HOZVfdjq0fSfVfkxKD6p9ADi49C66j8Ev5wTEzrf/cWtA7AQS7VYbwtHA3z0dc/I715P5LkSw/gB3539f705U+wCQks6vLxfb+LH5maLjdB/s5kB7TTnVPgCcPsL3YTtzgu4D4DcHshtOtQZ+34UEJMbUrxbabbBgO8Pvlt5eUkv3UW3nE8NIjE4WlnPTlPti+d+TtZaflv7uJH/CJiaZL98eHc89H3UpGVT7AKDR8ZtNIxP5O+aIGH7zrzOZez4k5MIVtA3tNliQ0HDP6s6nYj7TwB/fkoh2pw/mCgtFG/jjYRKMfuO68ad43hOYux/Xl6tw9197S6j2ASCxJ5/LQWLiIrN3HN3HRjKBVWgs/1xIQGlwvAYRl8y/QeLq+cJCcQKKkD41/zTX6VOp9o073qfaB4CqMr56X2wlv4my/BQ/e7GLPCrbUMXnJ3DY+KqTbKZLADhwis8P4rBwg4XwWH6AKwElWPgRl5Oo/vDDD/GXv/wFeXl5qKqqwq5du3Ddddc1szFy5MhmjI8AMHny5FbPikpE7D4Nv6HAp+GnQn0Cct7sW0Rj4qfWq0r4u1lvML++XFfNX2iPlPAXKDYkyk4OGz+9LhGQsCHRgyaBjsIX4Q8Blai22WwYNmwYJk6ciOnTp1/UzvTp0/Hyyy83/Ww0tp78iE0KAwDeI3l0H0Hh/E7mID2fXCoinJvpaazkUzHrw/iTKRLXlMvOz1Z5PNzvyiUgJCUBCTVFWwh/M8A+Dkcwv6ysoG0ImER1eno6pk6dCgBNmYeLITg4GCZT22qeItF07+F0Fz6PQIbkMtocgUBJELe/I7H3xenAAwVXwzd0H6qegRV38Qdj2B66j/BIbtaNLYkMABodfxxXQvY8XIBptpLcIyYhHCaBdspE0CIETKK6NVi/fj3WrVuH+Ph4ZGVlYd68ec2Im1qCujL+NMRx7y10H+Cv4/AIXMD7SrmaB6FJ/B6V6AR+Q2sx+D4k7o2jZIn4RgdfYK3iqMCIaQO/XONt5Jfo2KOTaoFSqQSuBdVJFgImUd1STJkypUlHoqCgAHPmzMGePXuQk3NxMgt/EtX1pUegCuI27h2r4bOK7TrNf5jYXfyovSt5tLHgDD+TpFbzd5oS15TEGFqji5sR8wrsNBsFWGAlwGZXlIC7AxxDR0fAJKpbGjCc38uQkZGBtLQ0ZGZmIj8/HwMHDvT7N/4kqkPTb0dYXy4bXmIEPxWqVfNTCxI8C/Gh3J1BkEApxeXkL1Ds7wkAIruk0H10JZNk7Th5iGofAMw9e9F91FXzg9z4pEi6D3aGJDiGLxcuAaXB8TxcTKL6L3/5yxV9gIEDB0Kr1aKwsPCiwYI/iephL3+JII32iny2FD3d/DRlWhifucynFWgGNXAzC5rCf1LtA4DeyB8xTdfxxxrdAtLLDXZuZkGiDGEUCNzKCwvpPpwC/CDsMkR8Wm+qfSkoo5OXwDmJ6ivFvn374Ha7YTZffObZn0S1Ri9Q46rni8CgnqsTD4AeVAFAQ89RVPu6g/wpAltdOt1HUDl/8QgSKKewoQ3mT6Y4yQEPAOgj+DTlQUH8rJsxistBInEuFLQNAZOoBoDq6mqcOHECp0+fjUIPHTqbSjSZTDCZTDh69CjWr1+P8ePHIzY2Fvv378esWbMwYMAADBs2rFUfXKLr1FPFH9eTgM/FnycP9nDTrafzD1LtA0BEzPV0H54aLrkNAKg1/O54FbksJKEqK7HIag0CUx1aPrup183tg9EJKGdKQMks/IjLSVRv3LgRDz30UNP777//fgDAvHnzMH/+fOh0OnzxxRdYunQprFYrEhMTMWHCBMybN6/VEtUSXadBoZF0Hyotf9cPgU5jr4sbLJhGtS6YvBJo9vAfuhDI8lgrK+k+KjvAw/0MmcIYkOFZ8Hm70H14yBuOM0X8jJsEFCGpH7Fq1apL/v7BBx/Egw8+eNHfJyYmXsDeeKWQqDc29mzdSOiVIMjFr836tPyd5mnyRrDLdaO5DgDc4BSYVLiOL4ts6v4V3cfAdG5auuwQn6QntS9XzwQAKk7yjyMpjT+O21DFVWRN6NWdal9B29Futwf11fwHe40AA+mBSolpCP53ld6Jq3xXG8zn8f/nHn4TZd1IroYGANSe4Qege49w+3kkxgHLimvpPqyVFXQfpwXKEPYabkn2TEnHYHBUyhDXIFQC9cao7W/TfdyUmUX34SPzUQBAUMluqv3Gcr5ugyoome4j/J/8a8pZz88kOWxcH04BumedkV8SkiBlctj4TZRu8nRKcAS/oVUCSrDwfxQ+AUVIFO2mu1AF8bvjvan+x14DhdJ33qHaBwBD51/TfQSF8dX13A3ldB+OBj6NMRt265VPcbUU7MZAAGgks2lKwGHjN2FLQOFZuAYhMROvTeQrBPoS+MQwPpXAKB25iTJ+cF+qfQCoyeOn7zXmFL4PA/842CRZuhCB0cl6PueFQWB0Uq3h39/6UG6QaztzgmpfQdsRUInq+fPnIzs7GyUlJdDpdBg0aBAWLFiAwYMHN9lwOp2YPXs23nvvPdjtdowePRrLly9Hly6t6+iViOAkpiG8Ag2OKoFgwWbkNlmFdO9HtQ8A2gJ+aUtijFVi7NBay9UCkcjqSSxQQdqOoXnAnoZg25eCIiT1Iy4nUd2jRw+8+eab6Nq1K+x2O15//XWMHTsWR44cQadOZyPsGTNmYNOmTcjOzkZMTAxmzZqF22+/HXl5ea0an6wu5dc0a+JG0H1YXQJywgIX8P4T3F3aTT345yIk/Fu6D3vK4Mu/qY3wefmqk+z0ukTpTGKB0hj5DK1BHUCESYI4TgJKz8KPuJxE9QMPPNDs96+99hpWrVqFH374AaNHj4bFYsGqVavwzjvvYMyYMQCAdevWITExEVu3bsW4ceNa/FkkJE2r7XwfVQLMZRLaEKmR3IY3i4BugwS5TUUDn4o5NrUb30fn1qnEthYHv+E3BkqwKxpCuFNCAGAM4wcLTiuXL0JC/ExB20CTqHa5XFi5ciUiIiLQv39/AEBeXh7cbjfGjh3b9L6EhARkZGRg+/btrQoW1Dp+x3cSn3IdoTq+boNHINoN1nJ3gmEOPtGQpYov+tPZIJBJ8vB9pMRzg4UfbPxgofdNA+g+jv1wku4j2sw9FwDgIXOQmHrxy4wSUBocz8PlJKo/+eQT3H///WhoaIDZbEZOTg5iY2MBAGVlZdDpdIiKat4sEx8fj7Kyi8/x+pOoDg7V0FNX6sP8ufuQ3dvpPtQG/s5Dext3ksC75wuqfQCoPcOf9VYX/ovuIyGVP3Exulcc1f7HApnDMX1NdB8bBCTJRw/gEiYBQOG/uFk3U0ok1b4UJDLeVwsBl6geNWoUdu/ejcrKSvz1r3/FpEmT8O233yIu7uIPF5/Pd0mueX8S1VGZkxBzw/2t/fitQkniGKp9AOiczI+ofVp+KvRfFdz0+o1DfkG1DwCxO/g9C2dS+aygB17lczksLOL2DEnwLKz+oIDuwyrAD/J+JT8j5iKfj6M/cFUtFbQdAZeoDgkJQffu3dG9e3fceOONSEtLw6pVqzBnzhyYTCa4XC7U1NQ0yy5UVFRg6NChF/XpT6K679Mb4XZy61wSCSWLJpLuQ6IMwWbftnr5/QSjBHZo9kZ+icAYxd31A0AkWRa5TICPwhjKLwG6Hfy+iMg4fr20spAriBUaKVDzFYCSWbgELidRff7vBw0aBK1Wi5ycHEyaNAkAUFpaioKCAixZsuSiNvxJVLsbuKNbAFBi4ZO2WJz8hrcGAdIWPVkWucLGPxf/+/dDdB93kDUVAKC+/DjdBxv2Gj6xVF0lvy+i7iT/mmL3EwCAw8LtGbKU83uSJKAECz/iUhLVNpsNCxYswJ133gmz2YyqqiosX74cJ0+exMSJEwEAEREReOSRRzBr1izExMQgOjoas2fPRt++fZumI1oKCRrV4lr+TVghwCLnEtjNpkZzSx1Ogaa90Ei+nPAJC39cL6RTEt1HUi/ujrliP3/ksEsPfs9CicDiEZfMzyTVnTpMtR+bxA+iFbQNAZOodjgcOHjwINauXYvKykrExMTg+uuvx9dff4309PQmG6+//jo0Gg0mTZrURMq0Zs2aVktUG8L56b17e8fSfRTV8keGJEYn02O5KV1bI/8Y3hIIFm5P49MkvyWgQshuDtz1Cf9cZPbkP0MaXfxgoT85cAOAou+5jJoRsfy+Kgn4PEpmAcClJaoNBgM+/PDDy9owGAxYtmwZli1b1hrXFyA0lr+Q67z8hTxMxyefEUgs0BfzcFsp1T4AWGs7BoucBF9EqIFLty6RHTlTzz/fQQJUzBIIS+BKSEuoCEtAKUNcg/AIrICayiK6D3N8T7oPH5nHHwDU9lqufesZqn0AqBcYczNW8GvYErP9H5LLQjXF/EmFopN88qriXQfoPhw2/nGcObiDaj8k/BaqfSkowcI1CAkObh9Zwx0ANALkUhIS1T49t5vZkfcl1T4A+Lw96D5graK7kGh4a7CSJ5EEHroOm0AJ0GHl+xBgN2XTe0sQiSloG9ptsBASzq9pHvzPtpVKWoKoHq0T0LoS6MIFKGfjuKNu3/zHBqp9AIiddvGJnEDhwKLX6D5UQRPpPhw2Lk25hACTRNlJQrfBVidwHOTzUV/Bn36RgJJZuAYhsSvoejdfvEhl5M8XBwXz6WDtN3BJk/T/+SnVPiDTKJZ28wOXf1MbEbKBP0kQHs3NiAXH8DkvvAK72bD4ZLoPNucFAFjLuedDFcTvs5GAEiz8iMtJVJ+PRx99FCtXrsTrr7+OGTNmNL0+cuRI5ObmNnvv5MmTkZ2d3aoPrtXz4xzd0Dsu/6Y2wqfhZ0h8ar6iG1s9c/iWv1HtA8CfP+WXnYJ63Uj3UX6Az+BYX9GZar/uJHdUDwDUArv+hio+M2FDVSLdB/t8RCT1ptpX0HYEVKL6HD766CN8++23SEjwH41Onz4dL7/8ctPPRmPrdyml+/kyvHUCTTffnuKTS7kFGBxvTuJ2fTeo+Lv+/fv30n14JqVf/k1tRGh8Kt1HSDS37GSv4S+AEgiNT6H70IXxx3HZx9Fo5/d2SEDJLPyIy0lUA8CpU6fwxBNPYPPmzZgwYYJfO8HBwTCZ2janzR7lAYCQb9+n+xg96MKsTKDh0/KbKFXuOqr9xq383bK1tivdB7bxj6PRwX9gNbq5c/cSksUSqW8J8jiJvgh3A/f+1gZzrycpeJVg4UL4k6j2er2YOnUqnn322WaZhp9j/fr1WLduHeLj45GVlYV58+YhLKx1dXWtnn+DVGfeTvdRaefTPXsa+JmFE+Rn4vjh93AdAAj+10G6j7phv6L7UK9vXUnvWoTPy+8naHTxp0Z0wXwlU20I3wdb4VfVSlI+BfIIqET14sWLodFo8NRTT13076dMmYLU1FSYTCYUFBRgzpw52LNnD3Jyclr1OdgNVgAQpecTqtgb+T4kppLMZFEen5rf8V1dwtdUiIQAl0MkPy0dnxRJtV99jN/LE9GZz0/gdvCvW4kGR8sJ7uZMgoRLAkoZ4jxcTKLabrdj6dKlyM/Pv6Tc9PTp05v+n5GRgbS0NGRmZiI/Px8DBw70+zdOp/MCsSqX3UmPdqsc/FVWQqzKI8BJkRTBfbjXGfj89xoDf4qgyscPcm2V/EbNKh13J8hOewMyC7ldgKulTsdXz2x02Kj2XfXVVPtSUIKF83AxierevXujoqICSUk/RYgejwezZs3CG2+80TRB8XMMHDgQWq0WhYWFFw0WFi1ahJdeeqnZa52G/BJxQ7ljaNFGfmpML0AH6xUIFqIN3O8qWM0/BrWev5BL0HtL1OLVZJVRiWOQeLBLkK7pjPxpJ3ZPQUcZnezICJhE9dSpUy9Qjhw3bhymTp2Khx566KJ/v2/fPrjdbpjN5ou+Z86cOZg5c2az1wb9bjPcZHlnbU0J1T4A9I7lkzJJsF1eKpsUCOhK+fS/kXF8PgpD9TG6D2MUXzeFnfo+peOXIUKi+LV+h0CwEBzK799ikzKpBb4nCShCUj/iUhLVMTExiIlprnan1WphMpnQs+dZ/YOjR49i/fr1GD9+PGJjY7F//37MmjULAwYMwLBhwy7qV6/XQ69vnmrzeoPonacS/AQG8BscwZeGgM3L3Rn43PxyTU1ZLd2HT8PXAqk+xg+sGl3c45DgJ7DX96H7qDnGH/F2WvhjpuzzIaEiLAGlDPEjLiVR3RLodDp88cUXWLp0KaxWKxITEzFhwgTMmzev1RLVoZECmgpH8+g+VD2H0H1AxU99h5FH3dzFfEGesGgB1kCyIA8A6AS649lpY4ljaKg6RfehDeGPBEqMTmoN3EyS7cwJqn0pKMHCj7iURLU//LxPITEx8QL2xiuFtZbfVe5LH0X3UWDhL+RugTG0+BDuw6TLoNuo9gHA8C9+QKK6rmWBdVug1n3E90HutZFYACUYHEV8CPTasCGhBaKgbWi/2hAWvnrfCQe/DHGokk/a4uG3LEAbxJ0k8Bi4jIEAYKvjlzqqVfwxN4m5+9BIbk9BZRA/iJaYfpHgDwiN5PfaNFTxr6mOACWzcA0i8hINkYFCl3B+sADwb0KJ0cnkCO7OwNnIz44EkZs0ASBUy18Eo+L5qe9hA7naEMe2c1UtAWDkuAy6j39t56fXu3Tn82qcLuDSMfe5hS/aJwEJMrGrhXYbLEhAvYuvdNg1LJLuAwKp0EYjV/NA/4+1VPsAEBzB120wHApMGe5SqK/hl+jyDp2h2pcYpfuhoILuw9XA5ScAgDI2faoATh3hXk8K2o52Gyw4HfydR1Ayf+fhjOJL2EqALVZljOFnktjcAQCAOAGFwNLP6D4aXdzMggRO7fuB7kNilM5t4wcL7PR69ZF8qv2zmEz3oJQhrkGERfGbemre/zPdR1g6PyAJCuHXNNV27g7qyNsfUu0DgDPxMbqPmv9ZSfcRbr6J7oPNs1BbzA/cIhN70H1IZBaCI/hlJ7aOhlagf0QCSrDwI1asWIEVK1Y0TTmkp6fjP/7jP5CV9ZNy4oEDB/D8888jNzcXXq8X6enp+J//+Z8mZken04nZs2fjvffeg91ux+jRo7F8+XJ06dI6cqJGN782FNabr7Gu7cLnp1eRabEBoC5hANV++NfbqfYBQCOQ+jbG8Rs1G/fxs24ecg+JRO2XfQyATGZBo+Vft2wJaQmmSwVtQ6uChS5duuDVV19tonteu3Yt7rrrLuzatQvp6ek4evQohg8fjkceeQQvvfQSIiIicODAARgMP3VOz5gxA5s2bUJ2djZiYmIwa9Ys3H777cjLy2sV14LLzn8gekfwFQKrXAJpSoGem9PV3EmCgQ/+O9U+ANT+J19ISjvraboPVW7rRNmuBOxgXUOe6wcAh4Bugy6M33zoEVCKY0/YODuINoQiUf0j7rjjjmY/L1iwACtWrMCOHTuQnp6OF154AePHj8eSJUua3tO1a9em/1ssFqxatQrvvPNOEzX0unXrkJiYiK1bt2LcuHEt/ixaPb+ConY30H3o1HxaWwH5Cb7GRV0N1z4Al53fGKhy1NN9eMkEWQCg03PTxo66Sqp9AIjtxm9ora8opfsIEhidtJYVU+3HpV+cwbc9QaF79gOPx4O//e1vsNlsGDJkCLxeLz799FM899xzGDduHHbt2oXU1FTMmTMHd999NwAgLy8PbrcbY8eObbKTkJCAjIwMbN++vVXBAlsXAgBcGn5qzCGw7ReYnITFwT0fvkgT1T4AhEXzgwVvML8M0aUH/7vq2oVbJ68qvZFqXwoJvbpe/k1tREw8v97vdIyk2q8rLabaV9B2tDpY2Lt3L4YMGQKHw4HQ0FBs2LABffr0QVlZGaxWK1599VW88sorWLx4MT7//HPce++9+PLLLzFixAiUlZVBp9MhKqr5AzM+Ph5lZRdPCfqTqLZVnYGKrN3gFmAzcjbyfUioTnYO545nNobwH7rde/F3/W7w0zzH8vbTfdRVp1Ltl+/9imofALoO47OCFufvovuwJPH1Rk7lfUG1n3QDn9lUAkqD43no2bMndu/ejdraWnzwwQeYNm0acnNzERkZCQC466678MwzzwAArrvuOmzfvh1//vOfMWLExUk3fD7fJVUL/UlUG7qNhLE7l4652sE/8Qcr+aUOiWAhKYJbTokx8stOLoGGt9NWfq9NuImvZBpj5u5mT8cI6HQI3BcxKb3oPqLN/DJE7ckUqn17PT9Ql4ASLJwHnU7X1OCYmZmJ77//HkuXLsWyZcug0WjQp09zJbfevXvjm2++AQCYTCa4XC7U1NQ0yy5UVFRg6NChF/XpT6K66wNvQaXmLiA6NZ/RT8AFJGQnI/Tcjmy7wEIeIyD1qxZgiQyL5pfPhveKo9rft41/LlJ78qW8T5+opfvomcIvbR3fww0OE7rzeVQkoAQLl4DP54PT6YROp8P111+PQ4cONfv94cOHkZx8lnho0KBB0Gq1yMnJwaRJkwAApaWlKCgoaNYU+XP4k6g2RvEvLqNAZ2CyhHqmiDYEdxFkByMAUCGgDRFr5B9H+TF+U91nZBIudkMdAJQc40tUVx3n0z3vdPED6Zpirux5SCy/z0ZB29CqYGHu3LnIyspCYmIi6uvrkZ2djW3btuHzzz8HADz77LOYPHkybr75ZowaNQqff/45Nm3ahG3btgEAIiIi8Mgjj2DWrFmIiYlBdHQ0Zs+ejb59+zZNR7QU+jA+EUmkvZzuI8rHb9T0afSXf1NbQQ6og8r4o1VdooPpPow+/qTCoBH81PcLY7l18vE/7KXaB4A5v+xP97FyG7/5cOY4fs/Cv586TbU/ZhS/J0kCHTmzAF8r8PDDD/uSk5N9Op3O16lTJ9/o0aN9W7ZsafaeVatW+bp37+4zGAy+/v37+z766KNmv7fb7b4nnnjCFx0d7TMajb7bb7/dd+LEidZ8jCuCw+HwzZs3z+dwONqtj45wDIqPa8e+4uPa8tERjqEj+VDQHCqfTyJJffVRV1eHiIgIWCwWhIdzshJsHx3hGBQf1459xce15aMjHENH8qGgOQToehQoUKBAgQIF7RlKsKBAgQIFChQouCSUYEGBAgUKFChQcEn8nwkW9Ho95s2bd8EIZnvy0RGOQfFx7dhXfFxbPjrCMXQkHwqa4/9Mg6MCBQoUKFCg4MrwfyazoECBAgUKFCi4MijBggIFChQoUKDgklCCBQUKFChQoEDBJaEECwoUKFCgQIGCS0IJFhQoUKBAgQIFl8T/iWBh+fLlSE1NhcFgwKBBg/D1118H1P5XX32FO+64AwkJCVCpVPjoo48Can/RokW4/vrrERYWhri4ONx9990XqHu2FStWrEC/fv0QHh6O8PBwDBkyBJ999llAfZyPRYsWQaVSYcaMGQGzOX/+fKhUqmb/TKbAq9mdOnUK//Zv/4aYmBgEBwfjuuuuQ15eXsDsp6SkXHAcKpUKjz/+eMB8NDY24ve//z1SU1NhNBrRtWtXvPzyy/B6A6dgWF9fjxkzZiA5ORlGoxFDhw7F999/f8X2Lnef+Xw+zJ8/HwkJCTAajRg5ciT27dsXUB8ffvghxo0bh9jYWKhUKuzevTugx+F2u/H888+jb9++CAkJQUJCAn71q1/h9OnWCTld7jjmz5+PXr16ISQkBFFRURgzZgy+/fbbgPo4H48++ihUKhXeeOONgNl/8MEHL7hHbrzxxlYdg4KWo8MHC++//z5mzJiBF154Abt27cJNN92ErKwsnDgROOlYm82G/v3748033wyYzfORm5uLxx9/HDt27EBOTg4aGxsxduxY2Gy2gPno0qULXn31VezcuRM7d+7ELbfcgrvuuqvVD9uW4Pvvv8fKlSvRr1+/gNtOT09HaWlp07+9ewOrXlhTU4Nhw4ZBq9Xis88+w/79+/Ff//VfiIyMDJiP77//vtkx5OTkAAAmTpwYMB+LFy/Gn//8Z7z55ps4cOAAlixZgj/+8Y9YtmxZwHz8+te/Rk5ODt555x3s3bsXY8eOxZgxY3Dq1Kkrsne5+2zJkiV47bXX8Oabb+L777+HyWTCrbfeivr6+oD5sNlsGDZsGF599dUrOobL+WhoaEB+fj5efPFF5Ofn48MPP8Thw4dx5513BswHAPTo0QNvvvkm9u7di2+++QYpKSkYO3Yszpw5EzAf5/DRRx/h22+/RUJCQkCPAQBuu+22ZvfK3//+91b5UNAKXFUZKwHccMMNvt/+9rfNXuvVq5fvd7/7HcUfAN+GDRsots+hoqLCB8CXm5tL9RMVFeX77//+74DarK+v96WlpflycnJ8I0aM8D399NMBsz1v3jxf//79A2bPH55//nnf8OHDqT5+jqefftrXrVs3n9frDZjNCRMm+B5++OFmr917772+f/u3fwuI/YaGBp9arfZ98sknzV7v37+/74UXXmiz/Z/fZ16v12cymXyvvvpq02sOh8MXERHh+/Of/xwQH+ejqKjIB8C3a9euK7LdEh/n8N133/kA+I4fP07zYbFYfAB8W7duDaiPkydP+jp37uwrKCjwJScn+15//fWA2Z82bZrvrrvuuiJ7ClqPDp1ZcLlcyMvLw9ixY5u9PnbsWGzfvv0qfaq2w2KxAACio6Mp9j0eD7Kzs2Gz2TBkyJCA2n788ccxYcIEjBkzJqB2z6GwsBAJCQlITU3F/fffj2PHjgXU/saNG5GZmYmJEyciLi4OAwYMwF//+teA+jgfLpcL69atw8MPPwyVShUwu8OHD8cXX3yBw4cPAwD27NmDb775BuPHjw+I/cbGRng8HhgMhmavG41GfPPNNwHxcT6KiopQVlbW7F7X6/UYMWJEu77XgbP3u0qlCmj26ny4XC6sXLkSERER6N+/f8Dser1eTJ06Fc8++yzS09MDZvd8bNu2DXFxcejRowemT5+OiooKih8FgOZqfwAmKisr4fF4EB8f3+z1+Ph4lJWVXaVP1Tb4fD7MnDkTw4cPR0ZGRkBt7927F0OGDIHD4UBoaCg2bNiAPn36BMx+dnY28vPz21S3vhQGDx6Mt99+Gz169EB5eTleeeUVDB06FPv27UNMTExAfBw7dgwrVqzAzJkzMXfuXHz33Xd46qmnoNfr8atf/SogPs7HRx99hNraWjz44IMBtfv888/DYrGgV69eUKvV8Hg8WLBgAX75y18GxH5YWBiGDBmCP/zhD+jduzfi4+Px3nvv4dtvv0VaWlpAfJyPc/ezv3v9+PHjAfcnBYfDgd/97nd44IEHAi7F/Mknn+D+++9HQ0MDzGYzcnJyEBsbGzD7ixcvhkajwVNPPRUwm+cjKysLEydORHJyMoqKivDiiy/illtuQV5enkIDTUCHDhbO4ec7Mp/PF9BdmiSeeOIJ/PDDD5TdWc+ePbF7927U1tbigw8+wLRp05CbmxuQgKGkpARPP/00tmzZcsFuM1DIyspq+n/fvn0xZMgQdOvWDWvXrsXMmTMD4sPr9SIzMxMLFy4EAAwYMAD79u3DihUrKMHCqlWrkJWV1ep67+Xw/vvvY926dXj33XeRnp6O3bt3Y8aMGUhISMC0adMC4uOdd97Bww8/jM6dO0OtVmPgwIF44IEHkJ+fHxD7/tCR7nW32437778fXq8Xy5cvD7j9UaNGYffu3aisrMRf//pXTJo0Cd9++y3i4uLabDsvLw9Lly5Ffn4+7fufPHly0/8zMjKQmZmJ5ORkfPrpp7j33nspPv8vo0OXIWJjY6FWqy/IIlRUVFywA2kPePLJJ7Fx40Z8+eWX6NKlS8Dt63Q6dO/eHZmZmVi0aBH69++PpUuXBsR2Xl4eKioqMGjQIGg0Gmg0GuTm5uJPf/oTNBoNPB5PQPycj5CQEPTt2xeFhYUBs2k2my8Innr37h3QhtlzOH78OLZu3Ypf//rXAbf97LPP4ne/+x3uv/9+9O3bF1OnTsUzzzyDRYsWBcxHt27dkJubC6vVipKSEnz33Xdwu91ITU0NmI9zODf10lHudbfbjUmTJqGoqAg5OTkBzyoAZ++P7t2748Ybb8SqVaug0WiwatWqgNj++uuvUVFRgaSkpKb7/fjx45g1axZSUlIC4uPnMJvNSE5ODuj9ruAndOhgQafTYdCgQU3d5OeQk5ODoUOHXqVP1Xr4fD488cQT+PDDD/GPf/yD8rC9mF+n0xkQW6NHj8bevXuxe/fupn+ZmZmYMmUKdu/eDbVaHRA/58PpdOLAgQMwm80Bszls2LALxlYPHz6M5OTkgPk4h9WrVyMuLg4TJkwIuO2GhgYEBTW//dVqdUBHJ88hJCQEZrMZNTU12Lx5M+66666A+0hNTYXJZGp2r7tcLuTm5rarex34KVAoLCzE1q1bA1ZCuxwCeb9PnToVP/zwQ7P7PSEhAc8++yw2b94cEB8/R1VVFUpKSgJ6vyv4CR2+DDFz5kxMnToVmZmZGDJkCFauXIkTJ07gt7/9bcB8WK1WHDlypOnnoqIi7N69G9HR0UhKSmqz/ccffxzvvvsuPv74Y4SFhTXtniIiImA0GttsHwDmzp2LrKwsJCYmor6+HtnZ2di2bRs+//zzgNgPCwu7oMciJCQEMTExAeu9mD17Nu644w4kJSWhoqICr7zyCurq6gKWVgeAZ555BkOHDsXChQsxadIkfPfdd1i5ciVWrlwZMB/A2XLH6tWrMW3aNGg0gb9N77jjDixYsABJSUlIT0/Hrl278Nprr+Hhhx8OmI/NmzfD5/OhZ8+eOHLkCJ599ln07NkTDz300BXZu9x9NmPGDCxcuBBpaWlIS0vDwoULERwcjAceeCBgPqqrq3HixIkm3oNzgaPJZGoxp8elfCQkJOAXv/gF8vPz8cknn8Dj8TTd79HR0dDpdG32ERMTgwULFuDOO++E2WxGVVUVli9fjpMnT7ZqPPdy39XPgxytVguTyYSePXu22X50dDTmz5+P++67D2azGcXFxZg7dy5iY2Nxzz33tPgYFLQCV3ESQwxvvfWWLzk52afT6XwDBw4M+Mjhl19+6QNwwb9p06YFxL4/2wB8q1evDoh9n8/ne/jhh5u+o06dOvlGjx7t27JlS8Ds+0OgRycnT57sM5vNPq1W60tISPDde++9vn379gXM/jls2rTJl5GR4dPr9b5evXr5Vq5cGXAfmzdv9gHwHTp0KOC2fT6fr66uzvf000/7kpKSfAaDwde1a1ffCy+84HM6nQHz8f777/u6du3q0+l0PpPJ5Hv88cd9tbW1V2zvcveZ1+v1zZs3z2cymXx6vd538803+/bu3RtQH6tXr/b7+3nz5gXEx7mRTH//vvzyy4D4sNvtvnvuuceXkJDg0+l0PrPZ7Lvzzjt93333/9u3YxsGQiCKgnJACaSUQxv06zIognSdO/jyyRedZgpYiY1esLxv3dW3q18n0/xzTs05q/derbUaY9Raq/bel97A715VVbfWBwDwKI++WQAA/icWAIBILAAAkVgAACKxAABEYgEAiMQCABCJBQAgEgsAQCQWAIBILAAA0QdJd25yGP8eqAAAAABJRU5ErkJggg==",
+      "text/plain": [
+       "<Figure size 640x480 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "sns.heatmap(time_marginals, cmap=\"RdBu_r\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 41,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<Axes: >"
+      ]
+     },
+     "execution_count": 41,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "X_flat = rearrange(X_sample, \"fips day feat -> feat (fips day)\")\n",
+    "sns.heatmap(torch.corrcoef(X_flat), cmap=\"RdBu_r\")"
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": null,
diff --git a/src/fdiff/dataloaders/datamodules.py b/src/fdiff/dataloaders/datamodules.py
index 5fac168..4dfaf48 100644
--- a/src/fdiff/dataloaders/datamodules.py
+++ b/src/fdiff/dataloaders/datamodules.py
@@ -424,13 +424,19 @@ def setup(self, stage: str = "fit") -> None:
             )
 
         # Load preprocessed tensors
-        self.X_train = torch.load(self.data_dir / "X_train.pt")
-        self.X_test = torch.load(self.data_dir / "X_test.pt")
+        self.X_train: torch.Tensor = torch.load(self.data_dir / "X_train.pt")
+        self.X_test: torch.Tensor = torch.load(self.data_dir / "X_test.pt")
+
+        # Remove features that have high correlation with T2M
+        feats = [i for i in range(self.X_train.shape[2]) if i not in {4, 5, 6, 7, 9}]
+        self.X_train = self.X_train[:, :, feats]
+        self.X_test = self.X_test[:, :, feats]
 
+        # Check tensors
         assert isinstance(self.X_train, torch.Tensor)
         assert isinstance(self.X_test, torch.Tensor)
-        assert self.X_train.shape[2] == self.X_test.shape[2] == 18
         assert self.X_train.shape[1] % 365 == self.X_test.shape[1] % 365 == 0
+        assert self.X_train.shape[2] == self.X_test.shape[2] == len(feats)
 
     def download_data(self) -> None:
         import kaggle
diff --git a/src/fdiff/utils/preprocessing.py b/src/fdiff/utils/preprocessing.py
index e5591a5..3dc5026 100644
--- a/src/fdiff/utils/preprocessing.py
+++ b/src/fdiff/utils/preprocessing.py
@@ -262,7 +262,7 @@ def droughts_preprocess(
     data_dir: Path,
     random_seed: int,
     train_frac: float = 0.9,
-    start_date: str = "2010-01-01",
+    start_date: str = "2011-01-01",
     end_date: str = "2012-01-01",
 ) -> None:
     """Preprocess the US-Droughts dataset from the raw .csv file in data_dir.
@@ -287,8 +287,9 @@ def droughts_preprocess(
 
     # Create a tensor of shape (num_fips, num_days, num_features) from df
     df_pivot = df.pivot_table(index="fips", columns="date")
+    num_days = (end_time - start_time).days
     X = torch.tensor(df_pivot.values, dtype=torch.float32)
-    X = rearrange(X, "fips (feature day) -> fips day feature", day=730)
+    X = rearrange(X, "fips (feature day) -> fips day feature", day=num_days)
 
     # Train-test split
     torch.manual_seed(random_seed)

From 6898e56d3c5a039f6dc1ac44ebb80561960e0b76 Mon Sep 17 00:00:00 2001
From: JonathanCrabbe <jonathan.cr1302@gmail.com>
Date: Mon, 15 Jan 2024 13:30:17 +0000
Subject: [PATCH 6/6] Fix typo

---
 cmd/conf/metrics/default.yaml | 2 +-
 src/fdiff/sampling/metrics.py | 4 ++--
 2 files changed, 3 insertions(+), 3 deletions(-)

diff --git a/cmd/conf/metrics/default.yaml b/cmd/conf/metrics/default.yaml
index a597539..c8a15d0 100644
--- a/cmd/conf/metrics/default.yaml
+++ b/cmd/conf/metrics/default.yaml
@@ -1,7 +1,7 @@
 _target_: fdiff.sampling.metrics.MetricCollection
 _partial_: true
 include_baselines: true
-include_specral_density: true
+include_spectral_density: true
 metrics:
   - _target_: fdiff.sampling.metrics.SlicedWasserstein
     _partial_: true
diff --git a/src/fdiff/sampling/metrics.py b/src/fdiff/sampling/metrics.py
index 27dafca..de68542 100644
--- a/src/fdiff/sampling/metrics.py
+++ b/src/fdiff/sampling/metrics.py
@@ -33,7 +33,7 @@ def __init__(
         metrics: list[Metric],
         original_samples: Optional[np.ndarray | torch.Tensor] = None,
         include_baselines: bool = True,
-        include_specral_density: bool = False,
+        include_spectral_density: bool = False,
     ) -> None:
         metrics_time: list[Metric] = []
         metrics_freq: list[Metric] = []
@@ -59,7 +59,7 @@ def __init__(
                 random_seed=42,
                 save_all_distances=True,
             )
-            if include_specral_density
+            if include_spectral_density
             else None
         )