From c6c238965c6a3ff47ff9f39ecfce0795524fb842 Mon Sep 17 00:00:00 2001
From: Nima <nimaseda@uw.edu>
Date: Wed, 10 Jan 2024 17:28:04 -0800
Subject: [PATCH] Add investigation of the remaining mismatches. They turned
 out to be masked: SAT|INTRP

---
 notebooks/DM-40859.ipynb | 10932 ++++++++++++++++++++++++++++++++++---
 1 file changed, 10261 insertions(+), 671 deletions(-)

diff --git a/notebooks/DM-40859.ipynb b/notebooks/DM-40859.ipynb
index c5f3151..45b6a47 100644
--- a/notebooks/DM-40859.ipynb
+++ b/notebooks/DM-40859.ipynb
@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": 56,
    "id": "5d29fe2d",
    "metadata": {},
    "outputs": [],
@@ -11,6 +11,10 @@
     "sys.path.append('~/transinet4lsst')\n",
     "from lsst.daf.butler import Butler\n",
     "import pandas as pd\n",
+    "from IPython.display import display\n",
+    "pd.set_option('display.max_columns', None)\n",
+    "pd.set_option('display.max_rows', None)\n",
+    "\n",
     "from mask_tools import should_ignore, get_enabled_flags_names\n",
     "import numpy as np\n",
     "\n",
@@ -28,8 +32,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
-   "id": "826a4090",
+   "execution_count": 113,
+   "id": "20270d47",
    "metadata": {},
    "outputs": [
     {
@@ -70,7 +74,23 @@
        "      <th>flux_u</th>\n",
        "      <th>flux_g</th>\n",
        "      <th>flux_r</th>\n",
-       "      <th>...</th>\n",
+       "      <th>flux_i</th>\n",
+       "      <th>flux_z</th>\n",
+       "      <th>flux_y</th>\n",
+       "      <th>flux_u_noMW</th>\n",
+       "      <th>flux_g_noMW</th>\n",
+       "      <th>flux_r_noMW</th>\n",
+       "      <th>flux_i_noMW</th>\n",
+       "      <th>flux_z_noMW</th>\n",
+       "      <th>flux_y_noMW</th>\n",
+       "      <th>tract</th>\n",
+       "      <th>patch</th>\n",
+       "      <th>truth_type</th>\n",
+       "      <th>cosmodc2_hp</th>\n",
+       "      <th>cosmodc2_id</th>\n",
+       "      <th>mag_r</th>\n",
+       "      <th>match_objectId</th>\n",
+       "      <th>match_sep</th>\n",
        "      <th>is_good_match</th>\n",
        "      <th>is_nearest_neighbor</th>\n",
        "      <th>is_unique_truth_entry</th>\n",
@@ -78,9 +98,6 @@
        "      <th>MJD</th>\n",
        "      <th>bandpass</th>\n",
        "      <th>delta_flux</th>\n",
-       "      <th>x</th>\n",
-       "      <th>y</th>\n",
-       "      <th>mask</th>\n",
        "    </tr>\n",
        "  </thead>\n",
        "  <tbody>\n",
@@ -93,10 +110,26 @@
        "      <td>0.945324</td>\n",
        "      <td>1</td>\n",
        "      <td>1</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>...</td>\n",
+       "      <td>0.000000e+00</td>\n",
+       "      <td>0.000000e+00</td>\n",
+       "      <td>0.000000e+00</td>\n",
+       "      <td>0.000000e+00</td>\n",
+       "      <td>0.000000e+00</td>\n",
+       "      <td>0.000000e+00</td>\n",
+       "      <td>0.000000e+00</td>\n",
+       "      <td>0.000000e+00</td>\n",
+       "      <td>0.000000e+00</td>\n",
+       "      <td>0.000000e+00</td>\n",
+       "      <td>0.000000e+00</td>\n",
+       "      <td>0.000000e+00</td>\n",
+       "      <td>4431</td>\n",
+       "      <td>9</td>\n",
+       "      <td>3</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>inf</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>-1.000000</td>\n",
        "      <td>False</td>\n",
        "      <td>False</td>\n",
        "      <td>True</td>\n",
@@ -104,9 +137,6 @@
        "      <td>61028.122882</td>\n",
        "      <td>r</td>\n",
        "      <td>7.922391</td>\n",
-       "      <td>1836.168943</td>\n",
-       "      <td>1786.292517</td>\n",
-       "      <td>32</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1</th>\n",
@@ -117,10 +147,26 @@
        "      <td>0.973225</td>\n",
        "      <td>1</td>\n",
        "      <td>1</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>...</td>\n",
+       "      <td>0.000000e+00</td>\n",
+       "      <td>0.000000e+00</td>\n",
+       "      <td>0.000000e+00</td>\n",
+       "      <td>0.000000e+00</td>\n",
+       "      <td>0.000000e+00</td>\n",
+       "      <td>0.000000e+00</td>\n",
+       "      <td>0.000000e+00</td>\n",
+       "      <td>0.000000e+00</td>\n",
+       "      <td>0.000000e+00</td>\n",
+       "      <td>0.000000e+00</td>\n",
+       "      <td>0.000000e+00</td>\n",
+       "      <td>0.000000e+00</td>\n",
+       "      <td>4431</td>\n",
+       "      <td>16</td>\n",
+       "      <td>3</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>inf</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>-1.000000</td>\n",
        "      <td>False</td>\n",
        "      <td>False</td>\n",
        "      <td>True</td>\n",
@@ -128,9 +174,6 @@
        "      <td>61028.122882</td>\n",
        "      <td>r</td>\n",
        "      <td>17.903126</td>\n",
-       "      <td>3608.015876</td>\n",
-       "      <td>721.816330</td>\n",
-       "      <td>32</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>0</th>\n",
@@ -141,10 +184,26 @@
        "      <td>0.000000</td>\n",
        "      <td>1</td>\n",
        "      <td>1</td>\n",
-       "      <td>2.310072</td>\n",
-       "      <td>20.113888</td>\n",
-       "      <td>56.057739</td>\n",
-       "      <td>...</td>\n",
+       "      <td>2.310072e+00</td>\n",
+       "      <td>2.011389e+01</td>\n",
+       "      <td>5.605774e+01</td>\n",
+       "      <td>8.733038e+01</td>\n",
+       "      <td>1.068484e+02</td>\n",
+       "      <td>1.197150e+02</td>\n",
+       "      <td>2.390107e+00</td>\n",
+       "      <td>2.062942e+01</td>\n",
+       "      <td>5.714767e+01</td>\n",
+       "      <td>8.863153e+01</td>\n",
+       "      <td>1.080729e+02</td>\n",
+       "      <td>1.208527e+02</td>\n",
+       "      <td>4431</td>\n",
+       "      <td>9</td>\n",
+       "      <td>2</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>27.028410</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>-1.000000</td>\n",
        "      <td>False</td>\n",
        "      <td>False</td>\n",
        "      <td>True</td>\n",
@@ -152,9 +211,6 @@
        "      <td>61028.122882</td>\n",
        "      <td>r</td>\n",
        "      <td>-0.417352</td>\n",
-       "      <td>2059.019139</td>\n",
-       "      <td>2339.377328</td>\n",
-       "      <td>0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1</th>\n",
@@ -165,10 +221,26 @@
        "      <td>0.000000</td>\n",
        "      <td>1</td>\n",
        "      <td>1</td>\n",
-       "      <td>3636.093994</td>\n",
-       "      <td>30671.835938</td>\n",
-       "      <td>93393.062500</td>\n",
-       "      <td>...</td>\n",
+       "      <td>3.636094e+03</td>\n",
+       "      <td>3.067184e+04</td>\n",
+       "      <td>9.339306e+04</td>\n",
+       "      <td>1.561495e+05</td>\n",
+       "      <td>1.994355e+05</td>\n",
+       "      <td>2.274639e+05</td>\n",
+       "      <td>3.763048e+03</td>\n",
+       "      <td>3.146307e+04</td>\n",
+       "      <td>9.522001e+04</td>\n",
+       "      <td>1.584920e+05</td>\n",
+       "      <td>2.017389e+05</td>\n",
+       "      <td>2.296427e+05</td>\n",
+       "      <td>4431</td>\n",
+       "      <td>9</td>\n",
+       "      <td>2</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>18.974213</td>\n",
+       "      <td>19488023263616405</td>\n",
+       "      <td>0.005030</td>\n",
        "      <td>True</td>\n",
        "      <td>True</td>\n",
        "      <td>True</td>\n",
@@ -176,9 +248,6 @@
        "      <td>61028.122882</td>\n",
        "      <td>r</td>\n",
        "      <td>-529.692749</td>\n",
-       "      <td>2007.168215</td>\n",
-       "      <td>2493.043168</td>\n",
-       "      <td>32</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2</th>\n",
@@ -189,10 +258,26 @@
        "      <td>0.000000</td>\n",
        "      <td>1</td>\n",
        "      <td>1</td>\n",
-       "      <td>13.605010</td>\n",
-       "      <td>106.517334</td>\n",
-       "      <td>291.346863</td>\n",
-       "      <td>...</td>\n",
+       "      <td>1.360501e+01</td>\n",
+       "      <td>1.065173e+02</td>\n",
+       "      <td>2.913469e+02</td>\n",
+       "      <td>4.534999e+02</td>\n",
+       "      <td>5.554426e+02</td>\n",
+       "      <td>6.201711e+02</td>\n",
+       "      <td>1.408956e+01</td>\n",
+       "      <td>1.093290e+02</td>\n",
+       "      <td>2.971701e+02</td>\n",
+       "      <td>4.604453e+02</td>\n",
+       "      <td>5.619857e+02</td>\n",
+       "      <td>6.262289e+02</td>\n",
+       "      <td>4431</td>\n",
+       "      <td>9</td>\n",
+       "      <td>2</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>25.238974</td>\n",
+       "      <td>19488023263584596</td>\n",
+       "      <td>0.017922</td>\n",
        "      <td>True</td>\n",
        "      <td>True</td>\n",
        "      <td>True</td>\n",
@@ -200,648 +285,9184 @@
        "      <td>61028.122882</td>\n",
        "      <td>r</td>\n",
        "      <td>17.688076</td>\n",
-       "      <td>1881.492080</td>\n",
-       "      <td>2371.355936</td>\n",
-       "      <td>0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>...</th>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
+       "      <th>3</th>\n",
+       "      <td>31405687653</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>55.769400</td>\n",
+       "      <td>-32.385121</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>3.210847e+02</td>\n",
+       "      <td>1.358971e+03</td>\n",
+       "      <td>2.467448e+03</td>\n",
+       "      <td>3.095575e+03</td>\n",
+       "      <td>3.397009e+03</td>\n",
+       "      <td>3.610074e+03</td>\n",
+       "      <td>3.327238e+02</td>\n",
+       "      <td>1.395918e+03</td>\n",
+       "      <td>2.517652e+03</td>\n",
+       "      <td>3.143679e+03</td>\n",
+       "      <td>3.437509e+03</td>\n",
+       "      <td>3.645750e+03</td>\n",
+       "      <td>4431</td>\n",
+       "      <td>10</td>\n",
+       "      <td>2</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>22.919380</td>\n",
+       "      <td>19488160702569925</td>\n",
+       "      <td>0.012625</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>61028.122882</td>\n",
+       "      <td>r</td>\n",
+       "      <td>1.449948</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>68</th>\n",
-       "      <td>31411420425</td>\n",
+       "      <th>4</th>\n",
+       "      <td>31411430598</td>\n",
        "      <td>-1</td>\n",
-       "      <td>55.818703</td>\n",
-       "      <td>-32.271713</td>\n",
+       "      <td>55.784715</td>\n",
+       "      <td>-32.371861</td>\n",
        "      <td>0.000000</td>\n",
        "      <td>1</td>\n",
        "      <td>1</td>\n",
-       "      <td>78.645859</td>\n",
-       "      <td>625.545532</td>\n",
-       "      <td>1591.176880</td>\n",
-       "      <td>...</td>\n",
+       "      <td>1.526092e+04</td>\n",
+       "      <td>3.580282e+04</td>\n",
+       "      <td>4.894275e+04</td>\n",
+       "      <td>5.485975e+04</td>\n",
+       "      <td>5.661934e+04</td>\n",
+       "      <td>5.711891e+04</td>\n",
+       "      <td>1.581094e+04</td>\n",
+       "      <td>3.678880e+04</td>\n",
+       "      <td>4.993746e+04</td>\n",
+       "      <td>5.571016e+04</td>\n",
+       "      <td>5.729187e+04</td>\n",
+       "      <td>5.768116e+04</td>\n",
+       "      <td>4431</td>\n",
+       "      <td>9</td>\n",
+       "      <td>2</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>19.675779</td>\n",
+       "      <td>19488023263616515</td>\n",
+       "      <td>0.003004</td>\n",
        "      <td>True</td>\n",
        "      <td>True</td>\n",
        "      <td>True</td>\n",
        "      <td>982985</td>\n",
        "      <td>61028.122882</td>\n",
        "      <td>r</td>\n",
-       "      <td>166.295044</td>\n",
-       "      <td>1852.781897</td>\n",
-       "      <td>677.221716</td>\n",
-       "      <td>32</td>\n",
+       "      <td>-72.041725</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>69</th>\n",
-       "      <td>31411420361</td>\n",
+       "      <th>5</th>\n",
+       "      <td>31411431584</td>\n",
        "      <td>-1</td>\n",
-       "      <td>55.823281</td>\n",
-       "      <td>-32.270895</td>\n",
+       "      <td>55.694891</td>\n",
+       "      <td>-32.385083</td>\n",
        "      <td>0.000000</td>\n",
        "      <td>1</td>\n",
        "      <td>1</td>\n",
-       "      <td>157.305634</td>\n",
-       "      <td>733.933716</td>\n",
-       "      <td>1367.034668</td>\n",
-       "      <td>...</td>\n",
+       "      <td>2.837938e+01</td>\n",
+       "      <td>2.265870e+02</td>\n",
+       "      <td>6.782509e+02</td>\n",
+       "      <td>1.134425e+03</td>\n",
+       "      <td>1.456302e+03</td>\n",
+       "      <td>1.671033e+03</td>\n",
+       "      <td>2.947191e+01</td>\n",
+       "      <td>2.330310e+02</td>\n",
+       "      <td>6.928635e+02</td>\n",
+       "      <td>1.153159e+03</td>\n",
+       "      <td>1.474815e+03</td>\n",
+       "      <td>1.688649e+03</td>\n",
+       "      <td>4431</td>\n",
+       "      <td>10</td>\n",
+       "      <td>2</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>24.321526</td>\n",
+       "      <td>19488160702569673</td>\n",
+       "      <td>0.054073</td>\n",
        "      <td>True</td>\n",
        "      <td>True</td>\n",
        "      <td>True</td>\n",
        "      <td>982985</td>\n",
        "      <td>61028.122882</td>\n",
        "      <td>r</td>\n",
-       "      <td>6.967145</td>\n",
-       "      <td>1920.474664</td>\n",
-       "      <td>654.990029</td>\n",
-       "      <td>32</td>\n",
+       "      <td>0.474110</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>70</th>\n",
-       "      <td>31411421139</td>\n",
+       "      <th>6</th>\n",
+       "      <td>31405685097</td>\n",
        "      <td>-1</td>\n",
-       "      <td>55.816579</td>\n",
-       "      <td>-32.278785</td>\n",
+       "      <td>55.698054</td>\n",
+       "      <td>-32.367778</td>\n",
        "      <td>0.000000</td>\n",
        "      <td>1</td>\n",
        "      <td>1</td>\n",
-       "      <td>71.119019</td>\n",
-       "      <td>360.440216</td>\n",
-       "      <td>721.109192</td>\n",
-       "      <td>...</td>\n",
+       "      <td>4.323857e+00</td>\n",
+       "      <td>3.425957e+01</td>\n",
+       "      <td>1.015408e+02</td>\n",
+       "      <td>1.682722e+02</td>\n",
+       "      <td>2.144816e+02</td>\n",
+       "      <td>2.447493e+02</td>\n",
+       "      <td>4.486736e+00</td>\n",
+       "      <td>3.521356e+01</td>\n",
+       "      <td>1.036824e+02</td>\n",
+       "      <td>1.709927e+02</td>\n",
+       "      <td>2.171506e+02</td>\n",
+       "      <td>2.472750e+02</td>\n",
+       "      <td>4431</td>\n",
+       "      <td>10</td>\n",
+       "      <td>2</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>26.383398</td>\n",
+       "      <td>19488160702537820</td>\n",
+       "      <td>0.065193</td>\n",
        "      <td>True</td>\n",
        "      <td>True</td>\n",
        "      <td>True</td>\n",
        "      <td>982985</td>\n",
        "      <td>61028.122882</td>\n",
        "      <td>r</td>\n",
-       "      <td>-0.209456</td>\n",
-       "      <td>1834.409383</td>\n",
-       "      <td>807.407486</td>\n",
-       "      <td>32</td>\n",
+       "      <td>-0.202717</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>71</th>\n",
-       "      <td>31500328834</td>\n",
+       "      <th>7</th>\n",
+       "      <td>31411429963</td>\n",
        "      <td>-1</td>\n",
-       "      <td>55.745089</td>\n",
-       "      <td>-32.239291</td>\n",
+       "      <td>55.709906</td>\n",
+       "      <td>-32.370149</td>\n",
        "      <td>0.000000</td>\n",
        "      <td>1</td>\n",
        "      <td>1</td>\n",
-       "      <td>7.432840</td>\n",
-       "      <td>61.144257</td>\n",
-       "      <td>180.943069</td>\n",
-       "      <td>...</td>\n",
+       "      <td>1.610343e+03</td>\n",
+       "      <td>1.000218e+04</td>\n",
+       "      <td>2.158472e+04</td>\n",
+       "      <td>2.929542e+04</td>\n",
+       "      <td>3.327904e+04</td>\n",
+       "      <td>3.600256e+04</td>\n",
+       "      <td>1.670990e+03</td>\n",
+       "      <td>1.028320e+04</td>\n",
+       "      <td>2.204137e+04</td>\n",
+       "      <td>2.976937e+04</td>\n",
+       "      <td>3.369241e+04</td>\n",
+       "      <td>3.637329e+04</td>\n",
+       "      <td>4431</td>\n",
+       "      <td>10</td>\n",
+       "      <td>2</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>20.564634</td>\n",
+       "      <td>19488160702570912</td>\n",
+       "      <td>0.001382</td>\n",
        "      <td>True</td>\n",
        "      <td>True</td>\n",
        "      <td>True</td>\n",
        "      <td>982985</td>\n",
        "      <td>61028.122882</td>\n",
        "      <td>r</td>\n",
-       "      <td>-0.008144</td>\n",
-       "      <td>675.142659</td>\n",
-       "      <td>218.946644</td>\n",
-       "      <td>0</td>\n",
+       "      <td>15.859311</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>72</th>\n",
-       "      <td>31411416803</td>\n",
+       "      <th>8</th>\n",
+       "      <td>31405695056</td>\n",
        "      <td>-1</td>\n",
-       "      <td>55.806357</td>\n",
-       "      <td>-32.237593</td>\n",
+       "      <td>55.752186</td>\n",
+       "      <td>-32.444417</td>\n",
        "      <td>0.000000</td>\n",
        "      <td>1</td>\n",
        "      <td>1</td>\n",
-       "      <td>39.020409</td>\n",
-       "      <td>260.341827</td>\n",
-       "      <td>635.323059</td>\n",
-       "      <td>...</td>\n",
+       "      <td>2.008788e+01</td>\n",
+       "      <td>1.596345e+02</td>\n",
+       "      <td>4.868940e+02</td>\n",
+       "      <td>8.298591e+02</td>\n",
+       "      <td>1.079333e+03</td>\n",
+       "      <td>1.247763e+03</td>\n",
+       "      <td>2.085628e+01</td>\n",
+       "      <td>1.641416e+02</td>\n",
+       "      <td>4.973089e+02</td>\n",
+       "      <td>8.434660e+02</td>\n",
+       "      <td>1.092960e+03</td>\n",
+       "      <td>1.260828e+03</td>\n",
+       "      <td>4431</td>\n",
+       "      <td>10</td>\n",
+       "      <td>2</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>24.681414</td>\n",
+       "      <td>19488160702564714</td>\n",
+       "      <td>0.011670</td>\n",
        "      <td>True</td>\n",
        "      <td>True</td>\n",
        "      <td>True</td>\n",
        "      <td>982985</td>\n",
        "      <td>61028.122882</td>\n",
        "      <td>r</td>\n",
-       "      <td>0.418374</td>\n",
-       "      <td>1599.434172</td>\n",
-       "      <td>86.610950</td>\n",
-       "      <td>32</td>\n",
+       "      <td>-0.444933</td>\n",
        "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "<p>70 rows × 37 columns</p>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "              id  host_galaxy         ra        dec  redshift  is_variable  \\\n",
-       "0   MS_9300_3652   4126946327  55.809744 -32.332801  0.945324            1   \n",
-       "1   MS_9300_4184   4127142911  55.933019 -32.284723  0.973225            1   \n",
-       "0    31411429981           -1  55.820381 -32.364658  0.000000            1   \n",
-       "1    31107745011           -1  55.815901 -32.372821  0.000000            1   \n",
-       "2    31411429992           -1  55.808551 -32.365349  0.000000            1   \n",
-       "..           ...          ...        ...        ...       ...          ...   \n",
-       "68   31411420425           -1  55.818703 -32.271713  0.000000            1   \n",
-       "69   31411420361           -1  55.823281 -32.270895  0.000000            1   \n",
-       "70   31411421139           -1  55.816579 -32.278785  0.000000            1   \n",
-       "71   31500328834           -1  55.745089 -32.239291  0.000000            1   \n",
-       "72   31411416803           -1  55.806357 -32.237593  0.000000            1   \n",
-       "\n",
-       "    is_pointsource       flux_u        flux_g        flux_r  ...  \\\n",
-       "0                1     0.000000      0.000000      0.000000  ...   \n",
-       "1                1     0.000000      0.000000      0.000000  ...   \n",
-       "0                1     2.310072     20.113888     56.057739  ...   \n",
-       "1                1  3636.093994  30671.835938  93393.062500  ...   \n",
-       "2                1    13.605010    106.517334    291.346863  ...   \n",
-       "..             ...          ...           ...           ...  ...   \n",
-       "68               1    78.645859    625.545532   1591.176880  ...   \n",
-       "69               1   157.305634    733.933716   1367.034668  ...   \n",
-       "70               1    71.119019    360.440216    721.109192  ...   \n",
-       "71               1     7.432840     61.144257    180.943069  ...   \n",
-       "72               1    39.020409    260.341827    635.323059  ...   \n",
-       "\n",
-       "    is_good_match  is_nearest_neighbor  is_unique_truth_entry  obsHistID  \\\n",
-       "0           False                False                   True     982985   \n",
-       "1           False                False                   True     982985   \n",
-       "0           False                False                   True     982985   \n",
-       "1            True                 True                   True     982985   \n",
-       "2            True                 True                   True     982985   \n",
-       "..            ...                  ...                    ...        ...   \n",
-       "68           True                 True                   True     982985   \n",
-       "69           True                 True                   True     982985   \n",
-       "70           True                 True                   True     982985   \n",
-       "71           True                 True                   True     982985   \n",
-       "72           True                 True                   True     982985   \n",
-       "\n",
-       "             MJD  bandpass  delta_flux            x            y  mask  \n",
-       "0   61028.122882         r    7.922391  1836.168943  1786.292517    32  \n",
-       "1   61028.122882         r   17.903126  3608.015876   721.816330    32  \n",
-       "0   61028.122882         r   -0.417352  2059.019139  2339.377328     0  \n",
-       "1   61028.122882         r -529.692749  2007.168215  2493.043168    32  \n",
-       "2   61028.122882         r   17.688076  1881.492080  2371.355936     0  \n",
-       "..           ...       ...         ...          ...          ...   ...  \n",
-       "68  61028.122882         r  166.295044  1852.781897   677.221716    32  \n",
-       "69  61028.122882         r    6.967145  1920.474664   654.990029    32  \n",
-       "70  61028.122882         r   -0.209456  1834.409383   807.407486    32  \n",
-       "71  61028.122882         r   -0.008144   675.142659   218.946644     0  \n",
-       "72  61028.122882         r    0.418374  1599.434172    86.610950    32  \n",
-       "\n",
-       "[70 rows x 37 columns]"
-      ]
-     },
-     "execution_count": 4,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "collection = sys.argv[1] if len(sys.argv)>1 else 'latest' #pick the latest collection in the butler registry by default\n",
-    "\n",
-    "# Create a lsst butler object\n",
-    "butler = Butler('/repo/apv')\n",
-    "\n",
-    "# The dimensions of the specific image we want to look at\n",
-    "visit = 982985\n",
-    "detector = 164\n",
-    "\n",
-    "\n",
-    "#--- Get the truth file URI (which is right next to the calexp file)\n",
-    "sciFile = butler.getURI('calexp',\n",
-    "                        collections='ap_verify-output',\n",
-    "                        dataId={'instrument': 'LSSTCam-imSim', 'visit': visit, 'detector': detector}).ospath\n",
-    "truthfile = sciFile + '.SNVAR.parq'\n",
-    "print(truthfile)\n",
-    "\n",
-    "\n",
-    "\n",
-    "#--- Obtain mask info for truth rows\n",
-    "truth = pd.read_parquet(truthfile, engine='pyarrow')\n",
-    "sci = butler.get('calexp',\n",
-    "                 collections='ap_verify-output',\n",
-    "                 dataId={'instrument': 'LSSTCam-imSim', 'visit': visit, 'detector': detector})\n",
-    "\n",
-    "X,Y = sci.getWcs().skyToPixelArray(ra=truth['ra'],dec=truth['dec'],degrees=True)\n",
-    "truth = truth.assign(x=X,y=Y) # add x,y columns to truth\n",
-    "mask = sci.getMaskedImage().getMask()\n",
-    "truth['mask'] = mask.getArray()[truth['y'].astype(int),truth['x'].astype(int)]\n",
-    "truth = truth[~truth.apply(lambda row: should_ignore(row['mask']), axis=1)]\n",
-    "\n",
-    "truth"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "37876466",
-   "metadata": {},
-   "source": [
-    "#### Now Bruno's version"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 6,
-   "id": "681aa794",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
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-       "\n",
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-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>id</th>\n",
-       "      <th>ra</th>\n",
-       "      <th>dec</th>\n",
-       "      <th>flux_u</th>\n",
-       "      <th>flux_g</th>\n",
-       "      <th>flux_r</th>\n",
-       "      <th>flux_i</th>\n",
-       "      <th>flux_z</th>\n",
-       "      <th>flux_y</th>\n",
-       "      <th>is_pointsource</th>\n",
-       "      <th>...</th>\n",
-       "      <th>delta_flux</th>\n",
-       "      <th>bandpass</th>\n",
-       "      <th>obshistid</th>\n",
-       "      <th>visit</th>\n",
-       "      <th>detector</th>\n",
-       "      <th>x_image</th>\n",
-       "      <th>y_image</th>\n",
-       "      <th>in_ccd</th>\n",
-       "      <th>flux</th>\n",
-       "      <th>transient_type</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
        "    <tr>\n",
-       "      <th>0</th>\n",
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-       "      <td>2.31007</td>\n",
-       "      <td>20.1139</td>\n",
-       "      <td>56.0577</td>\n",
-       "      <td>87.3304</td>\n",
-       "      <td>106.848</td>\n",
-       "      <td>119.715</td>\n",
-       "      <td>1</td>\n",
-       "      <td>...</td>\n",
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-       "      <td>r</td>\n",
-       "      <td>982985</td>\n",
-       "      <td>982985</td>\n",
-       "      <td>164</td>\n",
-       "      <td>2067.755518</td>\n",
-       "      <td>2330.004105</td>\n",
+       "      <th>9</th>\n",
+       "      <td>31303591512</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>55.734631</td>\n",
+       "      <td>-32.405041</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1.493161e+03</td>\n",
+       "      <td>1.155809e+04</td>\n",
+       "      <td>2.736206e+04</td>\n",
+       "      <td>3.862286e+04</td>\n",
+       "      <td>4.483291e+04</td>\n",
+       "      <td>4.926749e+04</td>\n",
+       "      <td>1.549979e+03</td>\n",
+       "      <td>1.188451e+04</td>\n",
+       "      <td>2.794624e+04</td>\n",
+       "      <td>3.925377e+04</td>\n",
+       "      <td>4.539539e+04</td>\n",
+       "      <td>4.977998e+04</td>\n",
+       "      <td>4431</td>\n",
+       "      <td>10</td>\n",
+       "      <td>2</td>\n",
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+       "      <td>20.307129</td>\n",
+       "      <td>19488160702536196</td>\n",
+       "      <td>0.000902</td>\n",
        "      <td>True</td>\n",
-       "      <td>55.640348</td>\n",
-       "      <td>VariableStar</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>61028.122882</td>\n",
+       "      <td>r</td>\n",
+       "      <td>-132.988541</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>31107745011</td>\n",
-       "      <td>55.815901</td>\n",
-       "      <td>-32.372821</td>\n",
-       "      <td>3636.09000</td>\n",
-       "      <td>30671.8000</td>\n",
-       "      <td>93393.1000</td>\n",
-       "      <td>156149.0000</td>\n",
-       "      <td>199435.000</td>\n",
-       "      <td>227464.000</td>\n",
-       "      <td>1</td>\n",
-       "      <td>...</td>\n",
-       "      <td>-529.692743</td>\n",
-       "      <td>r</td>\n",
-       "      <td>982985</td>\n",
-       "      <td>982985</td>\n",
-       "      <td>164</td>\n",
-       "      <td>2016.305992</td>\n",
-       "      <td>2483.649238</td>\n",
+       "      <th>10</th>\n",
+       "      <td>31405688188</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>55.737764</td>\n",
+       "      <td>-32.390812</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2.855799e+00</td>\n",
+       "      <td>2.280097e+01</td>\n",
+       "      <td>6.333499e+01</td>\n",
+       "      <td>9.960946e+01</td>\n",
+       "      <td>1.231738e+02</td>\n",
+       "      <td>1.384741e+02</td>\n",
+       "      <td>2.962494e+00</td>\n",
+       "      <td>2.343136e+01</td>\n",
+       "      <td>6.466182e+01</td>\n",
+       "      <td>1.012082e+02</td>\n",
+       "      <td>1.246945e+02</td>\n",
+       "      <td>1.398916e+02</td>\n",
+       "      <td>4431</td>\n",
+       "      <td>10</td>\n",
+       "      <td>2</td>\n",
+       "      <td>-1</td>\n",
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+       "      <td>26.895889</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>-1.000000</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
        "      <td>True</td>\n",
-       "      <td>92863.407257</td>\n",
-       "      <td>VariableStar</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>61028.122882</td>\n",
+       "      <td>r</td>\n",
+       "      <td>0.130878</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>31411429992</td>\n",
-       "      <td>55.808551</td>\n",
-       "      <td>-32.365349</td>\n",
-       "      <td>13.60500</td>\n",
-       "      <td>106.5170</td>\n",
-       "      <td>291.3470</td>\n",
-       "      <td>453.5000</td>\n",
-       "      <td>555.443</td>\n",
-       "      <td>620.171</td>\n",
-       "      <td>1</td>\n",
-       "      <td>...</td>\n",
-       "      <td>17.688076</td>\n",
-       "      <td>r</td>\n",
-       "      <td>982985</td>\n",
-       "      <td>982985</td>\n",
-       "      <td>164</td>\n",
-       "      <td>1890.330502</td>\n",
-       "      <td>2362.300951</td>\n",
+       "      <th>11</th>\n",
+       "      <td>31500338795</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>55.766827</td>\n",
+       "      <td>-32.392674</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>7.660849e+00</td>\n",
+       "      <td>5.974038e+01</td>\n",
+       "      <td>1.744193e+02</td>\n",
+       "      <td>2.862502e+02</td>\n",
+       "      <td>3.629403e+02</td>\n",
+       "      <td>4.130834e+02</td>\n",
+       "      <td>7.939463e+00</td>\n",
+       "      <td>6.134725e+01</td>\n",
+       "      <td>1.779727e+02</td>\n",
+       "      <td>2.907202e+02</td>\n",
+       "      <td>3.673026e+02</td>\n",
+       "      <td>4.172007e+02</td>\n",
+       "      <td>4431</td>\n",
+       "      <td>10</td>\n",
+       "      <td>2</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>25.796013</td>\n",
+       "      <td>19488160702536733</td>\n",
+       "      <td>0.027959</td>\n",
        "      <td>True</td>\n",
-       "      <td>309.035076</td>\n",
-       "      <td>VariableStar</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>61028.122882</td>\n",
+       "      <td>r</td>\n",
+       "      <td>-0.648288</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>31405687653</td>\n",
-       "      <td>55.769400</td>\n",
-       "      <td>-32.385121</td>\n",
-       "      <td>321.08500</td>\n",
-       "      <td>1358.9700</td>\n",
-       "      <td>2467.4500</td>\n",
-       "      <td>3095.5700</td>\n",
-       "      <td>3397.010</td>\n",
-       "      <td>3610.070</td>\n",
-       "      <td>1</td>\n",
-       "      <td>...</td>\n",
-       "      <td>1.449948</td>\n",
-       "      <td>r</td>\n",
-       "      <td>982985</td>\n",
-       "      <td>982985</td>\n",
-       "      <td>164</td>\n",
-       "      <td>1338.102880</td>\n",
-       "      <td>2782.289372</td>\n",
+       "      <th>12</th>\n",
+       "      <td>30830343662</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>55.732586</td>\n",
+       "      <td>-32.444870</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2.180379e+05</td>\n",
+       "      <td>1.098919e+06</td>\n",
+       "      <td>2.033413e+06</td>\n",
+       "      <td>2.547453e+06</td>\n",
+       "      <td>2.770577e+06</td>\n",
+       "      <td>2.931952e+06</td>\n",
+       "      <td>2.266201e+05</td>\n",
+       "      <td>1.131411e+06</td>\n",
+       "      <td>2.078436e+06</td>\n",
+       "      <td>2.590536e+06</td>\n",
+       "      <td>2.806513e+06</td>\n",
+       "      <td>2.963476e+06</td>\n",
+       "      <td>4431</td>\n",
+       "      <td>10</td>\n",
+       "      <td>2</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>15.629436</td>\n",
+       "      <td>19488160702564816</td>\n",
+       "      <td>0.000737</td>\n",
+       "      <td>False</td>\n",
        "      <td>True</td>\n",
-       "      <td>2468.899948</td>\n",
-       "      <td>VariableStar</td>\n",
+       "      <td>True</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>61028.122882</td>\n",
+       "      <td>r</td>\n",
+       "      <td>-143.654373</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>31411430598</td>\n",
-       "      <td>55.784715</td>\n",
-       "      <td>-32.371861</td>\n",
-       "      <td>15260.90000</td>\n",
-       "      <td>35802.8000</td>\n",
-       "      <td>48942.8000</td>\n",
-       "      <td>54859.8000</td>\n",
-       "      <td>56619.300</td>\n",
-       "      <td>57118.900</td>\n",
-       "      <td>1</td>\n",
-       "      <td>...</td>\n",
-       "      <td>-72.041725</td>\n",
-       "      <td>r</td>\n",
-       "      <td>982985</td>\n",
-       "      <td>982985</td>\n",
-       "      <td>164</td>\n",
-       "      <td>1543.054872</td>\n",
-       "      <td>2519.074789</td>\n",
+       "      <th>13</th>\n",
+       "      <td>31107745884</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>55.685606</td>\n",
+       "      <td>-32.420192</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>3.100957e+03</td>\n",
+       "      <td>2.090839e+04</td>\n",
+       "      <td>4.672550e+04</td>\n",
+       "      <td>6.436393e+04</td>\n",
+       "      <td>7.371798e+04</td>\n",
+       "      <td>8.022395e+04</td>\n",
+       "      <td>3.223948e+03</td>\n",
+       "      <td>2.152570e+04</td>\n",
+       "      <td>4.776568e+04</td>\n",
+       "      <td>6.545972e+04</td>\n",
+       "      <td>7.468162e+04</td>\n",
+       "      <td>8.109330e+04</td>\n",
+       "      <td>4431</td>\n",
+       "      <td>10</td>\n",
+       "      <td>2</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>19.726116</td>\n",
+       "      <td>19488160702566987</td>\n",
+       "      <td>0.002003</td>\n",
+       "      <td>True</td>\n",
        "      <td>True</td>\n",
-       "      <td>48870.758275</td>\n",
-       "      <td>VariableStar</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>...</th>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
+       "      <td>True</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>61028.122882</td>\n",
+       "      <td>r</td>\n",
+       "      <td>-10.301233</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>72</th>\n",
-       "      <td>31411420425</td>\n",
-       "      <td>55.818703</td>\n",
-       "      <td>-32.271713</td>\n",
-       "      <td>78.64590</td>\n",
-       "      <td>625.5460</td>\n",
-       "      <td>1591.1800</td>\n",
-       "      <td>2349.9100</td>\n",
-       "      <td>2796.330</td>\n",
-       "      <td>3095.530</td>\n",
-       "      <td>1</td>\n",
-       "      <td>...</td>\n",
-       "      <td>166.295041</td>\n",
-       "      <td>r</td>\n",
-       "      <td>982985</td>\n",
-       "      <td>982985</td>\n",
-       "      <td>164</td>\n",
-       "      <td>1857.348685</td>\n",
-       "      <td>669.379301</td>\n",
+       "      <th>14</th>\n",
+       "      <td>31411431456</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>55.846529</td>\n",
+       "      <td>-32.376424</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>3.199408e+01</td>\n",
+       "      <td>2.428855e+02</td>\n",
+       "      <td>6.534235e+02</td>\n",
+       "      <td>1.008914e+03</td>\n",
+       "      <td>1.230678e+03</td>\n",
+       "      <td>1.370760e+03</td>\n",
+       "      <td>3.310245e+01</td>\n",
+       "      <td>2.491270e+02</td>\n",
+       "      <td>6.661313e+02</td>\n",
+       "      <td>1.023948e+03</td>\n",
+       "      <td>1.244783e+03</td>\n",
+       "      <td>1.383787e+03</td>\n",
+       "      <td>4431</td>\n",
+       "      <td>9</td>\n",
+       "      <td>2</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>24.362013</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>-1.000000</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
        "      <td>True</td>\n",
-       "      <td>1757.475041</td>\n",
-       "      <td>VariableStar</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>61028.122882</td>\n",
+       "      <td>r</td>\n",
+       "      <td>-2.156009</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>73</th>\n",
-       "      <td>31411420361</td>\n",
-       "      <td>55.823281</td>\n",
-       "      <td>-32.270895</td>\n",
-       "      <td>157.30600</td>\n",
-       "      <td>733.9340</td>\n",
-       "      <td>1367.0300</td>\n",
-       "      <td>1729.1700</td>\n",
-       "      <td>1901.450</td>\n",
-       "      <td>2026.320</td>\n",
-       "      <td>1</td>\n",
-       "      <td>...</td>\n",
-       "      <td>6.967145</td>\n",
-       "      <td>r</td>\n",
-       "      <td>982985</td>\n",
-       "      <td>982985</td>\n",
-       "      <td>164</td>\n",
-       "      <td>1924.983370</td>\n",
-       "      <td>647.026668</td>\n",
+       "      <th>15</th>\n",
+       "      <td>31405689453</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>55.861416</td>\n",
+       "      <td>-32.394664</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>8.630159e+03</td>\n",
+       "      <td>1.793067e+04</td>\n",
+       "      <td>2.237049e+04</td>\n",
+       "      <td>2.396540e+04</td>\n",
+       "      <td>2.412536e+04</td>\n",
+       "      <td>2.397641e+04</td>\n",
+       "      <td>8.922797e+03</td>\n",
+       "      <td>1.839731e+04</td>\n",
+       "      <td>2.279894e+04</td>\n",
+       "      <td>2.431535e+04</td>\n",
+       "      <td>2.439516e+04</td>\n",
+       "      <td>2.419864e+04</td>\n",
+       "      <td>4431</td>\n",
+       "      <td>9</td>\n",
+       "      <td>2</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>20.525810</td>\n",
+       "      <td>19488023263614092</td>\n",
+       "      <td>0.001680</td>\n",
        "      <td>True</td>\n",
-       "      <td>1373.997145</td>\n",
-       "      <td>VariableStar</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>61028.122882</td>\n",
+       "      <td>r</td>\n",
+       "      <td>17.939392</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>74</th>\n",
-       "      <td>31411421139</td>\n",
-       "      <td>55.816579</td>\n",
-       "      <td>-32.278785</td>\n",
-       "      <td>71.11900</td>\n",
-       "      <td>360.4400</td>\n",
-       "      <td>721.1090</td>\n",
-       "      <td>950.9970</td>\n",
-       "      <td>1068.600</td>\n",
-       "      <td>1147.030</td>\n",
-       "      <td>1</td>\n",
-       "      <td>...</td>\n",
-       "      <td>-0.209456</td>\n",
-       "      <td>r</td>\n",
-       "      <td>982985</td>\n",
-       "      <td>982985</td>\n",
-       "      <td>164</td>\n",
-       "      <td>1839.299007</td>\n",
-       "      <td>799.524819</td>\n",
+       "      <th>16</th>\n",
+       "      <td>31411433079</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>55.862970</td>\n",
+       "      <td>-32.390615</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1.117214e+01</td>\n",
+       "      <td>8.742661e+01</td>\n",
+       "      <td>2.390473e+02</td>\n",
+       "      <td>3.719982e+02</td>\n",
+       "      <td>4.555325e+02</td>\n",
+       "      <td>5.085623e+02</td>\n",
+       "      <td>1.154775e+01</td>\n",
+       "      <td>8.960567e+01</td>\n",
+       "      <td>2.435595e+02</td>\n",
+       "      <td>3.773792e+02</td>\n",
+       "      <td>4.606014e+02</td>\n",
+       "      <td>5.132549e+02</td>\n",
+       "      <td>4431</td>\n",
+       "      <td>9</td>\n",
+       "      <td>2</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>25.453789</td>\n",
+       "      <td>19488023263614853</td>\n",
+       "      <td>0.015480</td>\n",
        "      <td>True</td>\n",
-       "      <td>720.899544</td>\n",
-       "      <td>VariableStar</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>61028.122882</td>\n",
+       "      <td>r</td>\n",
+       "      <td>-1.392454</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>75</th>\n",
-       "      <td>31500328834</td>\n",
-       "      <td>55.745089</td>\n",
-       "      <td>-32.239291</td>\n",
-       "      <td>7.43284</td>\n",
-       "      <td>61.1443</td>\n",
-       "      <td>180.9430</td>\n",
-       "      <td>296.0500</td>\n",
-       "      <td>372.691</td>\n",
-       "      <td>421.181</td>\n",
-       "      <td>1</td>\n",
-       "      <td>...</td>\n",
-       "      <td>-0.008144</td>\n",
-       "      <td>r</td>\n",
-       "      <td>982985</td>\n",
-       "      <td>982985</td>\n",
-       "      <td>164</td>\n",
-       "      <td>678.663710</td>\n",
-       "      <td>213.671488</td>\n",
+       "      <th>17</th>\n",
+       "      <td>31411435238</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>55.927944</td>\n",
+       "      <td>-32.409212</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1.855468e+01</td>\n",
+       "      <td>1.427604e+02</td>\n",
+       "      <td>3.577603e+02</td>\n",
+       "      <td>5.246328e+02</td>\n",
+       "      <td>6.218842e+02</td>\n",
+       "      <td>6.865504e+02</td>\n",
+       "      <td>1.913816e+01</td>\n",
+       "      <td>1.460931e+02</td>\n",
+       "      <td>3.640820e+02</td>\n",
+       "      <td>5.317321e+02</td>\n",
+       "      <td>6.283535e+02</td>\n",
+       "      <td>6.924729e+02</td>\n",
+       "      <td>4431</td>\n",
+       "      <td>9</td>\n",
+       "      <td>2</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>25.016020</td>\n",
+       "      <td>19488023263582519</td>\n",
+       "      <td>0.081374</td>\n",
        "      <td>True</td>\n",
-       "      <td>180.934856</td>\n",
-       "      <td>VariableStar</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>61028.122882</td>\n",
+       "      <td>r</td>\n",
+       "      <td>0.462488</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>76</th>\n",
-       "      <td>31411416803</td>\n",
-       "      <td>55.806357</td>\n",
-       "      <td>-32.237593</td>\n",
-       "      <td>39.02040</td>\n",
-       "      <td>260.3420</td>\n",
-       "      <td>635.3230</td>\n",
-       "      <td>930.4050</td>\n",
-       "      <td>1103.760</td>\n",
-       "      <td>1212.670</td>\n",
-       "      <td>1</td>\n",
-       "      <td>...</td>\n",
-       "      <td>0.418374</td>\n",
-       "      <td>r</td>\n",
-       "      <td>982985</td>\n",
+       "      <th>18</th>\n",
+       "      <td>31405690039</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>55.932181</td>\n",
+       "      <td>-32.396247</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1.958104e+02</td>\n",
+       "      <td>7.874763e+02</td>\n",
+       "      <td>1.401214e+03</td>\n",
+       "      <td>1.757307e+03</td>\n",
+       "      <td>1.922564e+03</td>\n",
+       "      <td>2.024145e+03</td>\n",
+       "      <td>2.019792e+02</td>\n",
+       "      <td>8.061896e+02</td>\n",
+       "      <td>1.426088e+03</td>\n",
+       "      <td>1.781142e+03</td>\n",
+       "      <td>1.942575e+03</td>\n",
+       "      <td>2.041610e+03</td>\n",
+       "      <td>4431</td>\n",
+       "      <td>9</td>\n",
+       "      <td>2</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>23.533737</td>\n",
+       "      <td>19488023263614318</td>\n",
+       "      <td>0.019977</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
        "      <td>982985</td>\n",
-       "      <td>164</td>\n",
-       "      <td>1602.563801</td>\n",
-       "      <td>79.592512</td>\n",
+       "      <td>61028.122882</td>\n",
+       "      <td>r</td>\n",
+       "      <td>1.024173</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>19</th>\n",
+       "      <td>31411435379</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>55.879466</td>\n",
+       "      <td>-32.412980</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>4.983582e+03</td>\n",
+       "      <td>1.444491e+04</td>\n",
+       "      <td>2.249491e+04</td>\n",
+       "      <td>2.642928e+04</td>\n",
+       "      <td>2.787818e+04</td>\n",
+       "      <td>2.869732e+04</td>\n",
+       "      <td>5.150278e+03</td>\n",
+       "      <td>1.481043e+04</td>\n",
+       "      <td>2.291796e+04</td>\n",
+       "      <td>2.680867e+04</td>\n",
+       "      <td>2.818507e+04</td>\n",
+       "      <td>2.895912e+04</td>\n",
+       "      <td>4431</td>\n",
+       "      <td>9</td>\n",
+       "      <td>2</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>20.519789</td>\n",
+       "      <td>19488023263612775</td>\n",
+       "      <td>0.001563</td>\n",
        "      <td>True</td>\n",
-       "      <td>635.741374</td>\n",
-       "      <td>VariableStar</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>61028.122882</td>\n",
+       "      <td>r</td>\n",
+       "      <td>19.051943</td>\n",
        "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "<p>77 rows × 22 columns</p>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "             id         ra        dec       flux_u      flux_g      flux_r  \\\n",
-       "0   31411429981  55.820381 -32.364658      2.31007     20.1139     56.0577   \n",
-       "1   31107745011  55.815901 -32.372821   3636.09000  30671.8000  93393.1000   \n",
-       "2   31411429992  55.808551 -32.365349     13.60500    106.5170    291.3470   \n",
-       "3   31405687653  55.769400 -32.385121    321.08500   1358.9700   2467.4500   \n",
-       "4   31411430598  55.784715 -32.371861  15260.90000  35802.8000  48942.8000   \n",
-       "..          ...        ...        ...          ...         ...         ...   \n",
-       "72  31411420425  55.818703 -32.271713     78.64590    625.5460   1591.1800   \n",
-       "73  31411420361  55.823281 -32.270895    157.30600    733.9340   1367.0300   \n",
-       "74  31411421139  55.816579 -32.278785     71.11900    360.4400    721.1090   \n",
-       "75  31500328834  55.745089 -32.239291      7.43284     61.1443    180.9430   \n",
-       "76  31411416803  55.806357 -32.237593     39.02040    260.3420    635.3230   \n",
-       "\n",
-       "         flux_i      flux_z      flux_y  is_pointsource  ...  delta_flux  \\\n",
-       "0       87.3304     106.848     119.715               1  ...   -0.417352   \n",
-       "1   156149.0000  199435.000  227464.000               1  ... -529.692743   \n",
-       "2      453.5000     555.443     620.171               1  ...   17.688076   \n",
-       "3     3095.5700    3397.010    3610.070               1  ...    1.449948   \n",
-       "4    54859.8000   56619.300   57118.900               1  ...  -72.041725   \n",
-       "..          ...         ...         ...             ...  ...         ...   \n",
-       "72    2349.9100    2796.330    3095.530               1  ...  166.295041   \n",
-       "73    1729.1700    1901.450    2026.320               1  ...    6.967145   \n",
-       "74     950.9970    1068.600    1147.030               1  ...   -0.209456   \n",
-       "75     296.0500     372.691     421.181               1  ...   -0.008144   \n",
-       "76     930.4050    1103.760    1212.670               1  ...    0.418374   \n",
-       "\n",
-       "    bandpass  obshistid   visit  detector      x_image      y_image  in_ccd  \\\n",
-       "0          r     982985  982985       164  2067.755518  2330.004105    True   \n",
-       "1          r     982985  982985       164  2016.305992  2483.649238    True   \n",
-       "2          r     982985  982985       164  1890.330502  2362.300951    True   \n",
-       "3          r     982985  982985       164  1338.102880  2782.289372    True   \n",
-       "4          r     982985  982985       164  1543.054872  2519.074789    True   \n",
-       "..       ...        ...     ...       ...          ...          ...     ...   \n",
-       "72         r     982985  982985       164  1857.348685   669.379301    True   \n",
-       "73         r     982985  982985       164  1924.983370   647.026668    True   \n",
-       "74         r     982985  982985       164  1839.299007   799.524819    True   \n",
-       "75         r     982985  982985       164   678.663710   213.671488    True   \n",
-       "76         r     982985  982985       164  1602.563801    79.592512    True   \n",
-       "\n",
-       "            flux  transient_type  \n",
-       "0      55.640348    VariableStar  \n",
-       "1   92863.407257    VariableStar  \n",
-       "2     309.035076    VariableStar  \n",
-       "3    2468.899948    VariableStar  \n",
-       "4   48870.758275    VariableStar  \n",
-       "..           ...             ...  \n",
-       "72   1757.475041    VariableStar  \n",
-       "73   1373.997145    VariableStar  \n",
-       "74    720.899544    VariableStar  \n",
-       "75    180.934856    VariableStar  \n",
-       "76    635.741374    VariableStar  \n",
-       "\n",
-       "[77 rows x 22 columns]"
-      ]
-     },
-     "execution_count": 6,
-     "metadata": {},
+       "    <tr>\n",
+       "      <th>20</th>\n",
+       "      <td>31405689834</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>55.890474</td>\n",
+       "      <td>-32.396386</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2.109138e+02</td>\n",
+       "      <td>1.630708e+03</td>\n",
+       "      <td>3.857261e+03</td>\n",
+       "      <td>5.441409e+03</td>\n",
+       "      <td>6.313410e+03</td>\n",
+       "      <td>6.936081e+03</td>\n",
+       "      <td>2.179345e+02</td>\n",
+       "      <td>1.671019e+03</td>\n",
+       "      <td>3.929375e+03</td>\n",
+       "      <td>5.519267e+03</td>\n",
+       "      <td>6.382808e+03</td>\n",
+       "      <td>6.999302e+03</td>\n",
+       "      <td>4431</td>\n",
+       "      <td>9</td>\n",
+       "      <td>2</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>22.434301</td>\n",
+       "      <td>19488023263614214</td>\n",
+       "      <td>0.004244</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>61028.122882</td>\n",
+       "      <td>r</td>\n",
+       "      <td>-1.381235</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>21</th>\n",
+       "      <td>31405689317</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>55.915417</td>\n",
+       "      <td>-32.390858</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>3.969585e+01</td>\n",
+       "      <td>3.286050e+02</td>\n",
+       "      <td>9.834387e+02</td>\n",
+       "      <td>1.626886e+03</td>\n",
+       "      <td>2.065896e+03</td>\n",
+       "      <td>2.349544e+03</td>\n",
+       "      <td>4.097235e+01</td>\n",
+       "      <td>3.364189e+02</td>\n",
+       "      <td>1.001172e+03</td>\n",
+       "      <td>1.649384e+03</td>\n",
+       "      <td>2.087891e+03</td>\n",
+       "      <td>2.370291e+03</td>\n",
+       "      <td>4431</td>\n",
+       "      <td>9</td>\n",
+       "      <td>2</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>23.918133</td>\n",
+       "      <td>19488023263614717</td>\n",
+       "      <td>0.027648</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>61028.122882</td>\n",
+       "      <td>r</td>\n",
+       "      <td>21.603462</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>22</th>\n",
+       "      <td>31405687067</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>55.843104</td>\n",
+       "      <td>-32.376660</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1.514854e+03</td>\n",
+       "      <td>3.560597e+03</td>\n",
+       "      <td>4.907237e+03</td>\n",
+       "      <td>5.493993e+03</td>\n",
+       "      <td>5.646328e+03</td>\n",
+       "      <td>5.690145e+03</td>\n",
+       "      <td>1.567217e+03</td>\n",
+       "      <td>3.654480e+03</td>\n",
+       "      <td>5.002811e+03</td>\n",
+       "      <td>5.575616e+03</td>\n",
+       "      <td>5.710615e+03</td>\n",
+       "      <td>5.743831e+03</td>\n",
+       "      <td>4431</td>\n",
+       "      <td>9</td>\n",
+       "      <td>2</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>22.172907</td>\n",
+       "      <td>19488023263615824</td>\n",
+       "      <td>0.001346</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>61028.122882</td>\n",
+       "      <td>r</td>\n",
+       "      <td>22.786961</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>23</th>\n",
+       "      <td>31411433059</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>55.845564</td>\n",
+       "      <td>-32.391282</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>5.132287e+00</td>\n",
+       "      <td>3.951911e+01</td>\n",
+       "      <td>9.909064e+01</td>\n",
+       "      <td>1.453693e+02</td>\n",
+       "      <td>1.723696e+02</td>\n",
+       "      <td>1.903268e+02</td>\n",
+       "      <td>5.310069e+00</td>\n",
+       "      <td>4.053497e+01</td>\n",
+       "      <td>1.010181e+02</td>\n",
+       "      <td>1.475343e+02</td>\n",
+       "      <td>1.743428e+02</td>\n",
+       "      <td>1.921334e+02</td>\n",
+       "      <td>4431</td>\n",
+       "      <td>9</td>\n",
+       "      <td>2</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>26.409920</td>\n",
+       "      <td>19488023263614736</td>\n",
+       "      <td>0.038123</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>61028.122882</td>\n",
+       "      <td>r</td>\n",
+       "      <td>-0.230734</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>24</th>\n",
+       "      <td>31411433171</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>55.837128</td>\n",
+       "      <td>-32.392919</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2.256825e+01</td>\n",
+       "      <td>1.478972e+02</td>\n",
+       "      <td>3.264514e+02</td>\n",
+       "      <td>4.472291e+02</td>\n",
+       "      <td>5.106219e+02</td>\n",
+       "      <td>5.544650e+02</td>\n",
+       "      <td>2.335676e+01</td>\n",
+       "      <td>1.517486e+02</td>\n",
+       "      <td>3.328605e+02</td>\n",
+       "      <td>4.539456e+02</td>\n",
+       "      <td>5.165110e+02</td>\n",
+       "      <td>5.597668e+02</td>\n",
+       "      <td>4431</td>\n",
+       "      <td>9</td>\n",
+       "      <td>2</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>25.115454</td>\n",
+       "      <td>19488023263614621</td>\n",
+       "      <td>0.075458</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>61028.122882</td>\n",
+       "      <td>r</td>\n",
+       "      <td>0.271971</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>25</th>\n",
+       "      <td>31411437889</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>55.810828</td>\n",
+       "      <td>-32.439987</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>4.196752e+04</td>\n",
+       "      <td>8.952342e+04</td>\n",
+       "      <td>1.182905e+05</td>\n",
+       "      <td>1.307665e+05</td>\n",
+       "      <td>1.338773e+05</td>\n",
+       "      <td>1.341264e+05</td>\n",
+       "      <td>4.348167e+04</td>\n",
+       "      <td>9.199313e+04</td>\n",
+       "      <td>1.206956e+05</td>\n",
+       "      <td>1.327940e+05</td>\n",
+       "      <td>1.354678e+05</td>\n",
+       "      <td>1.354467e+05</td>\n",
+       "      <td>4431</td>\n",
+       "      <td>9</td>\n",
+       "      <td>2</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>18.717625</td>\n",
+       "      <td>19488023263610338</td>\n",
+       "      <td>0.001792</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>61028.122882</td>\n",
+       "      <td>r</td>\n",
+       "      <td>-71.276268</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>26</th>\n",
+       "      <td>31411437836</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>55.802368</td>\n",
+       "      <td>-32.439891</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1.486485e+01</td>\n",
+       "      <td>9.816481e+01</td>\n",
+       "      <td>2.289893e+02</td>\n",
+       "      <td>3.254244e+02</td>\n",
+       "      <td>3.794148e+02</td>\n",
+       "      <td>4.143253e+02</td>\n",
+       "      <td>1.541031e+01</td>\n",
+       "      <td>1.008469e+02</td>\n",
+       "      <td>2.337093e+02</td>\n",
+       "      <td>3.305572e+02</td>\n",
+       "      <td>3.840125e+02</td>\n",
+       "      <td>4.184878e+02</td>\n",
+       "      <td>4431</td>\n",
+       "      <td>9</td>\n",
+       "      <td>2</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>25.500462</td>\n",
+       "      <td>19488023263610223</td>\n",
+       "      <td>0.064217</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>61028.122882</td>\n",
+       "      <td>r</td>\n",
+       "      <td>-0.190598</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>27</th>\n",
+       "      <td>31411439894</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>55.908861</td>\n",
+       "      <td>-32.453742</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1.196796e+02</td>\n",
+       "      <td>4.369773e+02</td>\n",
+       "      <td>7.243543e+02</td>\n",
+       "      <td>8.718572e+02</td>\n",
+       "      <td>9.313407e+02</td>\n",
+       "      <td>9.702585e+02</td>\n",
+       "      <td>1.234979e+02</td>\n",
+       "      <td>4.475133e+02</td>\n",
+       "      <td>7.373729e+02</td>\n",
+       "      <td>8.838237e+02</td>\n",
+       "      <td>9.411454e+02</td>\n",
+       "      <td>9.787255e+02</td>\n",
+       "      <td>4431</td>\n",
+       "      <td>9</td>\n",
+       "      <td>2</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>24.250124</td>\n",
+       "      <td>19488023263609197</td>\n",
+       "      <td>0.022966</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>61028.122882</td>\n",
+       "      <td>r</td>\n",
+       "      <td>1.054785</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>28</th>\n",
+       "      <td>31500343398</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>55.890708</td>\n",
+       "      <td>-32.457614</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1.143811e+01</td>\n",
+       "      <td>9.094086e+01</td>\n",
+       "      <td>2.176070e+02</td>\n",
+       "      <td>3.084898e+02</td>\n",
+       "      <td>3.588933e+02</td>\n",
+       "      <td>3.950652e+02</td>\n",
+       "      <td>1.181322e+01</td>\n",
+       "      <td>9.315443e+01</td>\n",
+       "      <td>2.216149e+02</td>\n",
+       "      <td>3.128388e+02</td>\n",
+       "      <td>3.627805e+02</td>\n",
+       "      <td>3.986135e+02</td>\n",
+       "      <td>4431</td>\n",
+       "      <td>9</td>\n",
+       "      <td>2</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>25.555819</td>\n",
+       "      <td>19488023263608961</td>\n",
+       "      <td>0.130993</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>61028.122882</td>\n",
+       "      <td>r</td>\n",
+       "      <td>-0.249895</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>29</th>\n",
+       "      <td>31411438984</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>55.896820</td>\n",
+       "      <td>-32.445671</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>6.125968e+01</td>\n",
+       "      <td>4.941989e+02</td>\n",
+       "      <td>1.373331e+03</td>\n",
+       "      <td>2.153890e+03</td>\n",
+       "      <td>2.647792e+03</td>\n",
+       "      <td>2.962875e+03</td>\n",
+       "      <td>6.323672e+01</td>\n",
+       "      <td>5.060165e+02</td>\n",
+       "      <td>1.398218e+03</td>\n",
+       "      <td>2.183808e+03</td>\n",
+       "      <td>2.676088e+03</td>\n",
+       "      <td>2.989133e+03</td>\n",
+       "      <td>4431</td>\n",
+       "      <td>9</td>\n",
+       "      <td>2</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>23.555563</td>\n",
+       "      <td>19488023263609726</td>\n",
+       "      <td>0.003967</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>61028.122882</td>\n",
+       "      <td>r</td>\n",
+       "      <td>1.244017</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>30</th>\n",
+       "      <td>31405691981</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>55.838388</td>\n",
+       "      <td>-32.416365</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>3.551341e+04</td>\n",
+       "      <td>9.952873e+04</td>\n",
+       "      <td>1.514150e+05</td>\n",
+       "      <td>1.798811e+05</td>\n",
+       "      <td>1.930506e+05</td>\n",
+       "      <td>1.986065e+05</td>\n",
+       "      <td>3.674895e+04</td>\n",
+       "      <td>1.021687e+05</td>\n",
+       "      <td>1.543901e+05</td>\n",
+       "      <td>1.825789e+05</td>\n",
+       "      <td>1.952705e+05</td>\n",
+       "      <td>2.004996e+05</td>\n",
+       "      <td>4431</td>\n",
+       "      <td>9</td>\n",
+       "      <td>2</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>18.449577</td>\n",
+       "      <td>19488023263612141</td>\n",
+       "      <td>0.000878</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>61028.122882</td>\n",
+       "      <td>r</td>\n",
+       "      <td>304.331726</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>31</th>\n",
+       "      <td>31500341979</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>55.822515</td>\n",
+       "      <td>-32.439874</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>4.163986e+00</td>\n",
+       "      <td>3.577196e+01</td>\n",
+       "      <td>1.027893e+02</td>\n",
+       "      <td>1.638835e+02</td>\n",
+       "      <td>2.031530e+02</td>\n",
+       "      <td>2.284623e+02</td>\n",
+       "      <td>4.311286e+00</td>\n",
+       "      <td>3.670789e+01</td>\n",
+       "      <td>1.048291e+02</td>\n",
+       "      <td>1.663763e+02</td>\n",
+       "      <td>2.055306e+02</td>\n",
+       "      <td>2.306795e+02</td>\n",
+       "      <td>4431</td>\n",
+       "      <td>9</td>\n",
+       "      <td>2</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>26.370129</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>-1.000000</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>61028.122882</td>\n",
+       "      <td>r</td>\n",
+       "      <td>0.031564</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>32</th>\n",
+       "      <td>31405677272</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>55.728531</td>\n",
+       "      <td>-32.302963</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1.615539e+03</td>\n",
+       "      <td>5.026175e+03</td>\n",
+       "      <td>7.790952e+03</td>\n",
+       "      <td>9.121348e+03</td>\n",
+       "      <td>9.601045e+03</td>\n",
+       "      <td>9.886889e+03</td>\n",
+       "      <td>1.669845e+03</td>\n",
+       "      <td>5.154297e+03</td>\n",
+       "      <td>7.938493e+03</td>\n",
+       "      <td>9.253201e+03</td>\n",
+       "      <td>9.707457e+03</td>\n",
+       "      <td>9.977709e+03</td>\n",
+       "      <td>4431</td>\n",
+       "      <td>17</td>\n",
+       "      <td>2</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>21.671024</td>\n",
+       "      <td>19488164997524412</td>\n",
+       "      <td>0.003816</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>61028.122882</td>\n",
+       "      <td>r</td>\n",
+       "      <td>21.249020</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>33</th>\n",
+       "      <td>31411422848</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>55.755820</td>\n",
+       "      <td>-32.298574</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1.502293e+02</td>\n",
+       "      <td>1.151415e+03</td>\n",
+       "      <td>3.012745e+03</td>\n",
+       "      <td>4.556335e+03</td>\n",
+       "      <td>5.492216e+03</td>\n",
+       "      <td>6.095685e+03</td>\n",
+       "      <td>1.553787e+02</td>\n",
+       "      <td>1.180696e+03</td>\n",
+       "      <td>3.070735e+03</td>\n",
+       "      <td>4.623513e+03</td>\n",
+       "      <td>5.554483e+03</td>\n",
+       "      <td>6.152989e+03</td>\n",
+       "      <td>4431</td>\n",
+       "      <td>17</td>\n",
+       "      <td>2</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>22.702595</td>\n",
+       "      <td>19488164997525140</td>\n",
+       "      <td>0.174717</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>61028.122882</td>\n",
+       "      <td>r</td>\n",
+       "      <td>-14.479010</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>34</th>\n",
+       "      <td>31405684392</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>55.739303</td>\n",
+       "      <td>-32.360498</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2.067061e+02</td>\n",
+       "      <td>7.876459e+02</td>\n",
+       "      <td>1.357689e+03</td>\n",
+       "      <td>1.678637e+03</td>\n",
+       "      <td>1.823917e+03</td>\n",
+       "      <td>1.910985e+03</td>\n",
+       "      <td>2.142133e+02</td>\n",
+       "      <td>8.092559e+02</td>\n",
+       "      <td>1.385463e+03</td>\n",
+       "      <td>1.704860e+03</td>\n",
+       "      <td>1.845774e+03</td>\n",
+       "      <td>1.929966e+03</td>\n",
+       "      <td>4431</td>\n",
+       "      <td>10</td>\n",
+       "      <td>2</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>23.567999</td>\n",
+       "      <td>19488160702538132</td>\n",
+       "      <td>0.013724</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>61028.122882</td>\n",
+       "      <td>r</td>\n",
+       "      <td>-22.874243</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>35</th>\n",
+       "      <td>31411429222</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>55.712634</td>\n",
+       "      <td>-32.363318</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2.518996e+00</td>\n",
+       "      <td>2.061658e+01</td>\n",
+       "      <td>6.219110e+01</td>\n",
+       "      <td>1.039812e+02</td>\n",
+       "      <td>1.331367e+02</td>\n",
+       "      <td>1.523226e+02</td>\n",
+       "      <td>2.612644e+00</td>\n",
+       "      <td>2.118282e+01</td>\n",
+       "      <td>6.348559e+01</td>\n",
+       "      <td>1.056405e+02</td>\n",
+       "      <td>1.347722e+02</td>\n",
+       "      <td>1.538744e+02</td>\n",
+       "      <td>4431</td>\n",
+       "      <td>10</td>\n",
+       "      <td>2</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>26.915680</td>\n",
+       "      <td>19488160702571558</td>\n",
+       "      <td>0.044845</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>61028.122882</td>\n",
+       "      <td>r</td>\n",
+       "      <td>-0.074621</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>36</th>\n",
+       "      <td>31411427628</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>55.742855</td>\n",
+       "      <td>-32.346595</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2.871198e+00</td>\n",
+       "      <td>2.365984e+01</td>\n",
+       "      <td>7.197016e+01</td>\n",
+       "      <td>1.213275e+02</td>\n",
+       "      <td>1.563542e+02</td>\n",
+       "      <td>1.798251e+02</td>\n",
+       "      <td>2.972296e+00</td>\n",
+       "      <td>2.427516e+01</td>\n",
+       "      <td>7.338927e+01</td>\n",
+       "      <td>1.231618e+02</td>\n",
+       "      <td>1.581743e+02</td>\n",
+       "      <td>1.815612e+02</td>\n",
+       "      <td>4431</td>\n",
+       "      <td>10</td>\n",
+       "      <td>2</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>26.757118</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>-1.000000</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>61028.122882</td>\n",
+       "      <td>r</td>\n",
+       "      <td>0.107577</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>37</th>\n",
+       "      <td>31411417626</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>55.729487</td>\n",
+       "      <td>-32.249257</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1.004497e+03</td>\n",
+       "      <td>2.052994e+03</td>\n",
+       "      <td>2.660634e+03</td>\n",
+       "      <td>2.907241e+03</td>\n",
+       "      <td>2.950957e+03</td>\n",
+       "      <td>2.940347e+03</td>\n",
+       "      <td>1.036130e+03</td>\n",
+       "      <td>2.102447e+03</td>\n",
+       "      <td>2.707870e+03</td>\n",
+       "      <td>2.946607e+03</td>\n",
+       "      <td>2.981578e+03</td>\n",
+       "      <td>2.965630e+03</td>\n",
+       "      <td>4431</td>\n",
+       "      <td>17</td>\n",
+       "      <td>2</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>22.837536</td>\n",
+       "      <td>19488164997528069</td>\n",
+       "      <td>0.002562</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>61028.122882</td>\n",
+       "      <td>r</td>\n",
+       "      <td>1.996145</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>38</th>\n",
+       "      <td>31411419490</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>55.723111</td>\n",
+       "      <td>-32.267330</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1.610350e+00</td>\n",
+       "      <td>1.294560e+01</td>\n",
+       "      <td>3.920560e+01</td>\n",
+       "      <td>6.640604e+01</td>\n",
+       "      <td>8.612878e+01</td>\n",
+       "      <td>9.954173e+01</td>\n",
+       "      <td>1.660884e+00</td>\n",
+       "      <td>1.324574e+01</td>\n",
+       "      <td>3.989482e+01</td>\n",
+       "      <td>6.730120e+01</td>\n",
+       "      <td>8.702299e+01</td>\n",
+       "      <td>1.003990e+02</td>\n",
+       "      <td>4431</td>\n",
+       "      <td>17</td>\n",
+       "      <td>2</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>27.416630</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>-1.000000</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>61028.122882</td>\n",
+       "      <td>r</td>\n",
+       "      <td>0.431967</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>39</th>\n",
+       "      <td>31411420922</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>55.701453</td>\n",
+       "      <td>-32.282580</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2.837632e+02</td>\n",
+       "      <td>5.407520e+02</td>\n",
+       "      <td>6.665936e+02</td>\n",
+       "      <td>7.060361e+02</td>\n",
+       "      <td>7.006859e+02</td>\n",
+       "      <td>6.885002e+02</td>\n",
+       "      <td>2.927447e+02</td>\n",
+       "      <td>5.538500e+02</td>\n",
+       "      <td>6.784819e+02</td>\n",
+       "      <td>7.156362e+02</td>\n",
+       "      <td>7.079850e+02</td>\n",
+       "      <td>6.944423e+02</td>\n",
+       "      <td>4431</td>\n",
+       "      <td>17</td>\n",
+       "      <td>2</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>24.340347</td>\n",
+       "      <td>19488164997525888</td>\n",
+       "      <td>0.104272</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>61028.122882</td>\n",
+       "      <td>r</td>\n",
+       "      <td>-3.985256</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>40</th>\n",
+       "      <td>31500333496</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>55.861193</td>\n",
+       "      <td>-32.306093</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>3.886513e+02</td>\n",
+       "      <td>1.812883e+03</td>\n",
+       "      <td>3.376096e+03</td>\n",
+       "      <td>4.269892e+03</td>\n",
+       "      <td>4.694878e+03</td>\n",
+       "      <td>5.002917e+03</td>\n",
+       "      <td>4.033418e+02</td>\n",
+       "      <td>1.864231e+03</td>\n",
+       "      <td>3.447735e+03</td>\n",
+       "      <td>4.339098e+03</td>\n",
+       "      <td>4.753256e+03</td>\n",
+       "      <td>5.054481e+03</td>\n",
+       "      <td>4431</td>\n",
+       "      <td>16</td>\n",
+       "      <td>2</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>22.578962</td>\n",
+       "      <td>19488027558569691</td>\n",
+       "      <td>0.009181</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>61028.122882</td>\n",
+       "      <td>r</td>\n",
+       "      <td>-5.970113</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>41</th>\n",
+       "      <td>31411427874</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>55.943414</td>\n",
+       "      <td>-32.338642</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>3.762596e+02</td>\n",
+       "      <td>3.163965e+03</td>\n",
+       "      <td>7.746769e+03</td>\n",
+       "      <td>1.109013e+04</td>\n",
+       "      <td>1.297131e+04</td>\n",
+       "      <td>1.433456e+04</td>\n",
+       "      <td>3.879048e+02</td>\n",
+       "      <td>3.236573e+03</td>\n",
+       "      <td>7.881440e+03</td>\n",
+       "      <td>1.123774e+04</td>\n",
+       "      <td>1.310397e+04</td>\n",
+       "      <td>1.445614e+04</td>\n",
+       "      <td>4431</td>\n",
+       "      <td>9</td>\n",
+       "      <td>2</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>21.677198</td>\n",
+       "      <td>19488023263619444</td>\n",
+       "      <td>0.002587</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>61028.122882</td>\n",
+       "      <td>r</td>\n",
+       "      <td>37.739635</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>42</th>\n",
+       "      <td>31411422491</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>55.882983</td>\n",
+       "      <td>-32.288284</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>5.446069e+00</td>\n",
+       "      <td>4.326986e+01</td>\n",
+       "      <td>1.319566e+02</td>\n",
+       "      <td>2.248824e+02</td>\n",
+       "      <td>2.924638e+02</td>\n",
+       "      <td>3.380874e+02</td>\n",
+       "      <td>5.649847e+00</td>\n",
+       "      <td>4.446504e+01</td>\n",
+       "      <td>1.347182e+02</td>\n",
+       "      <td>2.284902e+02</td>\n",
+       "      <td>2.960767e+02</td>\n",
+       "      <td>3.415512e+02</td>\n",
+       "      <td>4431</td>\n",
+       "      <td>16</td>\n",
+       "      <td>2</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>26.098921</td>\n",
+       "      <td>19488027558571325</td>\n",
+       "      <td>0.117320</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>61028.122882</td>\n",
+       "      <td>r</td>\n",
+       "      <td>-0.470866</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>43</th>\n",
+       "      <td>31500331386</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>55.888395</td>\n",
+       "      <td>-32.271442</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>4.943869e+00</td>\n",
+       "      <td>4.042256e+01</td>\n",
+       "      <td>1.208520e+02</td>\n",
+       "      <td>2.001543e+02</td>\n",
+       "      <td>2.544263e+02</td>\n",
+       "      <td>2.894038e+02</td>\n",
+       "      <td>5.130087e+00</td>\n",
+       "      <td>4.154788e+01</td>\n",
+       "      <td>1.234013e+02</td>\n",
+       "      <td>2.033912e+02</td>\n",
+       "      <td>2.575934e+02</td>\n",
+       "      <td>2.923912e+02</td>\n",
+       "      <td>4431</td>\n",
+       "      <td>16</td>\n",
+       "      <td>2</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>26.194365</td>\n",
+       "      <td>19488027558572982</td>\n",
+       "      <td>0.099590</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>61028.122882</td>\n",
+       "      <td>r</td>\n",
+       "      <td>-0.079125</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>44</th>\n",
+       "      <td>31411423360</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>55.919947</td>\n",
+       "      <td>-32.295270</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>9.690533e+00</td>\n",
+       "      <td>8.066305e+01</td>\n",
+       "      <td>2.279294e+02</td>\n",
+       "      <td>3.604174e+02</td>\n",
+       "      <td>4.449094e+02</td>\n",
+       "      <td>4.990877e+02</td>\n",
+       "      <td>1.001718e+01</td>\n",
+       "      <td>8.267590e+01</td>\n",
+       "      <td>2.322415e+02</td>\n",
+       "      <td>3.656440e+02</td>\n",
+       "      <td>4.498733e+02</td>\n",
+       "      <td>5.037054e+02</td>\n",
+       "      <td>4431</td>\n",
+       "      <td>16</td>\n",
+       "      <td>2</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>25.505501</td>\n",
+       "      <td>19488027558544640</td>\n",
+       "      <td>0.050721</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>61028.122882</td>\n",
+       "      <td>r</td>\n",
+       "      <td>1.144773</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>45</th>\n",
+       "      <td>31411425201</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>55.917385</td>\n",
+       "      <td>-32.313623</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>5.842709e+00</td>\n",
+       "      <td>4.620183e+01</td>\n",
+       "      <td>1.227773e+02</td>\n",
+       "      <td>1.870214e+02</td>\n",
+       "      <td>2.262397e+02</td>\n",
+       "      <td>2.516679e+02</td>\n",
+       "      <td>6.034833e+00</td>\n",
+       "      <td>4.732835e+01</td>\n",
+       "      <td>1.250447e+02</td>\n",
+       "      <td>1.896676e+02</td>\n",
+       "      <td>2.287015e+02</td>\n",
+       "      <td>2.539388e+02</td>\n",
+       "      <td>4431</td>\n",
+       "      <td>16</td>\n",
+       "      <td>2</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>26.177206</td>\n",
+       "      <td>19488027558543772</td>\n",
+       "      <td>0.111726</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>61028.122882</td>\n",
+       "      <td>r</td>\n",
+       "      <td>-0.154823</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>46</th>\n",
+       "      <td>31102012493</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>55.911107</td>\n",
+       "      <td>-32.306644</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>5.850730e+03</td>\n",
+       "      <td>3.363810e+04</td>\n",
+       "      <td>6.612409e+04</td>\n",
+       "      <td>8.493040e+04</td>\n",
+       "      <td>9.348997e+04</td>\n",
+       "      <td>9.994627e+04</td>\n",
+       "      <td>6.048012e+03</td>\n",
+       "      <td>3.448730e+04</td>\n",
+       "      <td>6.737831e+04</td>\n",
+       "      <td>8.616176e+04</td>\n",
+       "      <td>9.453010e+04</td>\n",
+       "      <td>1.008682e+05</td>\n",
+       "      <td>4431</td>\n",
+       "      <td>16</td>\n",
+       "      <td>2</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>19.349100</td>\n",
+       "      <td>19488027558569589</td>\n",
+       "      <td>0.003833</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>61028.122882</td>\n",
+       "      <td>r</td>\n",
+       "      <td>-673.622375</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>47</th>\n",
+       "      <td>31411426910</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>55.900401</td>\n",
+       "      <td>-32.331192</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1.367132e+01</td>\n",
+       "      <td>1.089989e+02</td>\n",
+       "      <td>3.259483e+02</td>\n",
+       "      <td>5.447780e+02</td>\n",
+       "      <td>6.989665e+02</td>\n",
+       "      <td>8.017766e+02</td>\n",
+       "      <td>1.411914e+01</td>\n",
+       "      <td>1.116384e+02</td>\n",
+       "      <td>3.319308e+02</td>\n",
+       "      <td>5.524448e+02</td>\n",
+       "      <td>7.065409e+02</td>\n",
+       "      <td>8.089828e+02</td>\n",
+       "      <td>4431</td>\n",
+       "      <td>9</td>\n",
+       "      <td>2</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>25.117128</td>\n",
+       "      <td>19488023263620184</td>\n",
+       "      <td>0.034914</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>61028.122882</td>\n",
+       "      <td>r</td>\n",
+       "      <td>0.325892</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>48</th>\n",
+       "      <td>31411425954</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>55.917176</td>\n",
+       "      <td>-32.321103</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>3.923478e+05</td>\n",
+       "      <td>8.033379e+05</td>\n",
+       "      <td>9.855239e+05</td>\n",
+       "      <td>1.042120e+06</td>\n",
+       "      <td>1.037414e+06</td>\n",
+       "      <td>1.025661e+06</td>\n",
+       "      <td>4.055089e+05</td>\n",
+       "      <td>8.240146e+05</td>\n",
+       "      <td>1.004190e+06</td>\n",
+       "      <td>1.057168e+06</td>\n",
+       "      <td>1.048885e+06</td>\n",
+       "      <td>1.035059e+06</td>\n",
+       "      <td>4431</td>\n",
+       "      <td>9</td>\n",
+       "      <td>2</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>16.415833</td>\n",
+       "      <td>19488023263620946</td>\n",
+       "      <td>0.001923</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>61028.122882</td>\n",
+       "      <td>r</td>\n",
+       "      <td>1217.174316</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>49</th>\n",
+       "      <td>31405680808</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>55.906242</td>\n",
+       "      <td>-32.323183</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>3.921883e+01</td>\n",
+       "      <td>3.366847e+02</td>\n",
+       "      <td>9.669809e+02</td>\n",
+       "      <td>1.541168e+03</td>\n",
+       "      <td>1.909941e+03</td>\n",
+       "      <td>2.147553e+03</td>\n",
+       "      <td>4.049551e+01</td>\n",
+       "      <td>3.447938e+02</td>\n",
+       "      <td>9.846497e+02</td>\n",
+       "      <td>1.562757e+03</td>\n",
+       "      <td>1.930529e+03</td>\n",
+       "      <td>2.166751e+03</td>\n",
+       "      <td>4431</td>\n",
+       "      <td>9</td>\n",
+       "      <td>2</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>23.936455</td>\n",
+       "      <td>19488023263620703</td>\n",
+       "      <td>0.002079</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>61028.122882</td>\n",
+       "      <td>r</td>\n",
+       "      <td>-3.761985</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>50</th>\n",
+       "      <td>31411419091</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>55.952314</td>\n",
+       "      <td>-32.251002</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>3.341661e+00</td>\n",
+       "      <td>2.682051e+01</td>\n",
+       "      <td>7.920931e+01</td>\n",
+       "      <td>1.294146e+02</td>\n",
+       "      <td>1.630296e+02</td>\n",
+       "      <td>1.841278e+02</td>\n",
+       "      <td>3.461406e+00</td>\n",
+       "      <td>2.753140e+01</td>\n",
+       "      <td>8.080021e+01</td>\n",
+       "      <td>1.314077e+02</td>\n",
+       "      <td>1.649620e+02</td>\n",
+       "      <td>1.859376e+02</td>\n",
+       "      <td>4431</td>\n",
+       "      <td>16</td>\n",
+       "      <td>2</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>26.653059</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>-1.000000</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>61028.122882</td>\n",
+       "      <td>r</td>\n",
+       "      <td>-0.067355</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>51</th>\n",
+       "      <td>31500330101</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>55.964263</td>\n",
+       "      <td>-32.247593</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>5.702467e+01</td>\n",
+       "      <td>4.674644e+02</td>\n",
+       "      <td>1.437125e+03</td>\n",
+       "      <td>2.450701e+03</td>\n",
+       "      <td>3.185864e+03</td>\n",
+       "      <td>3.683083e+03</td>\n",
+       "      <td>5.909653e+01</td>\n",
+       "      <td>4.800020e+02</td>\n",
+       "      <td>1.466344e+03</td>\n",
+       "      <td>2.488902e+03</td>\n",
+       "      <td>3.224106e+03</td>\n",
+       "      <td>3.719750e+03</td>\n",
+       "      <td>4431</td>\n",
+       "      <td>16</td>\n",
+       "      <td>2</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>23.506264</td>\n",
+       "      <td>19488027558575286</td>\n",
+       "      <td>0.005336</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>61028.122882</td>\n",
+       "      <td>r</td>\n",
+       "      <td>55.154003</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>52</th>\n",
+       "      <td>31411420881</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>55.962893</td>\n",
+       "      <td>-32.268407</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>7.199081e+01</td>\n",
+       "      <td>4.880677e+02</td>\n",
+       "      <td>1.153164e+03</td>\n",
+       "      <td>1.647874e+03</td>\n",
+       "      <td>1.926922e+03</td>\n",
+       "      <td>2.108108e+03</td>\n",
+       "      <td>7.455105e+01</td>\n",
+       "      <td>5.009849e+02</td>\n",
+       "      <td>1.176202e+03</td>\n",
+       "      <td>1.673069e+03</td>\n",
+       "      <td>1.949560e+03</td>\n",
+       "      <td>2.128642e+03</td>\n",
+       "      <td>4431</td>\n",
+       "      <td>16</td>\n",
+       "      <td>2</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>23.745272</td>\n",
+       "      <td>19488027558573200</td>\n",
+       "      <td>0.012206</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>61028.122882</td>\n",
+       "      <td>r</td>\n",
+       "      <td>-0.007502</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>53</th>\n",
+       "      <td>31405682947</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>55.820947</td>\n",
+       "      <td>-32.345129</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>7.043227e+01</td>\n",
+       "      <td>3.774267e+02</td>\n",
+       "      <td>7.588021e+02</td>\n",
+       "      <td>9.987484e+02</td>\n",
+       "      <td>1.117240e+03</td>\n",
+       "      <td>1.195281e+03</td>\n",
+       "      <td>7.298188e+01</td>\n",
+       "      <td>3.876635e+02</td>\n",
+       "      <td>7.742535e+02</td>\n",
+       "      <td>1.014295e+03</td>\n",
+       "      <td>1.130589e+03</td>\n",
+       "      <td>1.207120e+03</td>\n",
+       "      <td>4431</td>\n",
+       "      <td>9</td>\n",
+       "      <td>2</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>24.199678</td>\n",
+       "      <td>19488023263585542</td>\n",
+       "      <td>0.012895</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>61028.122882</td>\n",
+       "      <td>r</td>\n",
+       "      <td>-1.853721</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>54</th>\n",
+       "      <td>31500334199</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>55.797823</td>\n",
+       "      <td>-32.320015</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2.738221e+01</td>\n",
+       "      <td>2.309472e+02</td>\n",
+       "      <td>6.337051e+02</td>\n",
+       "      <td>9.800634e+02</td>\n",
+       "      <td>1.194772e+03</td>\n",
+       "      <td>1.335562e+03</td>\n",
+       "      <td>2.836490e+01</td>\n",
+       "      <td>2.370819e+02</td>\n",
+       "      <td>6.464662e+02</td>\n",
+       "      <td>9.951842e+02</td>\n",
+       "      <td>1.208948e+03</td>\n",
+       "      <td>1.348703e+03</td>\n",
+       "      <td>4431</td>\n",
+       "      <td>9</td>\n",
+       "      <td>2</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>24.395283</td>\n",
+       "      <td>19488023263621129</td>\n",
+       "      <td>0.009996</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>61028.122882</td>\n",
+       "      <td>r</td>\n",
+       "      <td>-5.463296</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>55</th>\n",
+       "      <td>31102012281</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>55.808410</td>\n",
+       "      <td>-32.302038</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>6.944726e+03</td>\n",
+       "      <td>3.649625e+04</td>\n",
+       "      <td>7.022406e+04</td>\n",
+       "      <td>8.974331e+04</td>\n",
+       "      <td>9.892876e+04</td>\n",
+       "      <td>1.057880e+05</td>\n",
+       "      <td>7.208150e+03</td>\n",
+       "      <td>3.753248e+04</td>\n",
+       "      <td>7.172007e+04</td>\n",
+       "      <td>9.120397e+04</td>\n",
+       "      <td>1.001641e+05</td>\n",
+       "      <td>1.068830e+05</td>\n",
+       "      <td>4431</td>\n",
+       "      <td>16</td>\n",
+       "      <td>2</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>19.283785</td>\n",
+       "      <td>19488027558569966</td>\n",
+       "      <td>0.000290</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>61028.122882</td>\n",
+       "      <td>r</td>\n",
+       "      <td>24.183588</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>56</th>\n",
+       "      <td>31411417475</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>55.813107</td>\n",
+       "      <td>-32.243519</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2.152327e+01</td>\n",
+       "      <td>1.435742e+02</td>\n",
+       "      <td>3.214370e+02</td>\n",
+       "      <td>4.448448e+02</td>\n",
+       "      <td>5.140989e+02</td>\n",
+       "      <td>5.635848e+02</td>\n",
+       "      <td>2.235751e+01</td>\n",
+       "      <td>1.477124e+02</td>\n",
+       "      <td>3.284254e+02</td>\n",
+       "      <td>4.522407e+02</td>\n",
+       "      <td>5.206620e+02</td>\n",
+       "      <td>5.695498e+02</td>\n",
+       "      <td>4431</td>\n",
+       "      <td>16</td>\n",
+       "      <td>2</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>25.132259</td>\n",
+       "      <td>19488027558575564</td>\n",
+       "      <td>0.040441</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>61028.122882</td>\n",
+       "      <td>r</td>\n",
+       "      <td>-0.027428</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>57</th>\n",
+       "      <td>31411418748</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>55.758807</td>\n",
+       "      <td>-32.257996</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2.792992e+00</td>\n",
+       "      <td>2.074873e+01</td>\n",
+       "      <td>5.345086e+01</td>\n",
+       "      <td>8.025360e+01</td>\n",
+       "      <td>9.638987e+01</td>\n",
+       "      <td>1.067362e+02</td>\n",
+       "      <td>2.890879e+00</td>\n",
+       "      <td>2.128856e+01</td>\n",
+       "      <td>5.450277e+01</td>\n",
+       "      <td>8.146323e+01</td>\n",
+       "      <td>9.750690e+01</td>\n",
+       "      <td>1.077618e+02</td>\n",
+       "      <td>4431</td>\n",
+       "      <td>17</td>\n",
+       "      <td>2</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>27.080114</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>-1.000000</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>61028.122882</td>\n",
+       "      <td>r</td>\n",
+       "      <td>0.026276</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>58</th>\n",
+       "      <td>31411420609</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>55.776831</td>\n",
+       "      <td>-32.275624</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1.394515e+03</td>\n",
+       "      <td>4.652577e+03</td>\n",
+       "      <td>7.543739e+03</td>\n",
+       "      <td>9.009576e+03</td>\n",
+       "      <td>9.589650e+03</td>\n",
+       "      <td>9.955562e+03</td>\n",
+       "      <td>1.444989e+03</td>\n",
+       "      <td>4.779845e+03</td>\n",
+       "      <td>7.697320e+03</td>\n",
+       "      <td>9.149597e+03</td>\n",
+       "      <td>9.703936e+03</td>\n",
+       "      <td>1.005389e+04</td>\n",
+       "      <td>4431</td>\n",
+       "      <td>17</td>\n",
+       "      <td>2</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>21.706032</td>\n",
+       "      <td>19488164997523097</td>\n",
+       "      <td>0.002863</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>61028.122882</td>\n",
+       "      <td>r</td>\n",
+       "      <td>-10.549919</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>59</th>\n",
+       "      <td>31411420975</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>55.775825</td>\n",
+       "      <td>-32.279179</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>4.581004e+01</td>\n",
+       "      <td>3.528557e+02</td>\n",
+       "      <td>8.849554e+02</td>\n",
+       "      <td>1.298476e+03</td>\n",
+       "      <td>1.539845e+03</td>\n",
+       "      <td>1.700385e+03</td>\n",
+       "      <td>4.745699e+01</td>\n",
+       "      <td>3.622679e+02</td>\n",
+       "      <td>9.028160e+02</td>\n",
+       "      <td>1.318539e+03</td>\n",
+       "      <td>1.558131e+03</td>\n",
+       "      <td>1.717129e+03</td>\n",
+       "      <td>4431</td>\n",
+       "      <td>17</td>\n",
+       "      <td>2</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>24.032698</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>-1.000000</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>61028.122882</td>\n",
+       "      <td>r</td>\n",
+       "      <td>7.746586</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>60</th>\n",
+       "      <td>30321355767</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>55.790356</td>\n",
+       "      <td>-32.270034</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2.871828e+05</td>\n",
+       "      <td>1.214024e+06</td>\n",
+       "      <td>2.041236e+06</td>\n",
+       "      <td>2.452630e+06</td>\n",
+       "      <td>2.620004e+06</td>\n",
+       "      <td>2.732899e+06</td>\n",
+       "      <td>2.977700e+05</td>\n",
+       "      <td>1.247871e+06</td>\n",
+       "      <td>2.083680e+06</td>\n",
+       "      <td>2.491568e+06</td>\n",
+       "      <td>2.651890e+06</td>\n",
+       "      <td>2.760472e+06</td>\n",
+       "      <td>4431</td>\n",
+       "      <td>16</td>\n",
+       "      <td>2</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>15.625267</td>\n",
+       "      <td>19488027558572839</td>\n",
+       "      <td>0.000794</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>61028.122882</td>\n",
+       "      <td>r</td>\n",
+       "      <td>-7207.912109</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>61</th>\n",
+       "      <td>31405673531</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>55.762365</td>\n",
+       "      <td>-32.269246</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1.941181e+01</td>\n",
+       "      <td>1.426362e+02</td>\n",
+       "      <td>3.504183e+02</td>\n",
+       "      <td>5.093890e+02</td>\n",
+       "      <td>6.011580e+02</td>\n",
+       "      <td>6.614888e+02</td>\n",
+       "      <td>2.010053e+01</td>\n",
+       "      <td>1.463948e+02</td>\n",
+       "      <td>3.573996e+02</td>\n",
+       "      <td>5.171577e+02</td>\n",
+       "      <td>6.082042e+02</td>\n",
+       "      <td>6.679174e+02</td>\n",
+       "      <td>4431</td>\n",
+       "      <td>17</td>\n",
+       "      <td>2</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>25.038532</td>\n",
+       "      <td>19488164997523193</td>\n",
+       "      <td>0.033138</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>61028.122882</td>\n",
+       "      <td>r</td>\n",
+       "      <td>-1.962186</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>62</th>\n",
+       "      <td>31411419399</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>55.816679</td>\n",
+       "      <td>-32.261316</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>9.874977e+03</td>\n",
+       "      <td>2.521870e+04</td>\n",
+       "      <td>3.648549e+04</td>\n",
+       "      <td>4.184838e+04</td>\n",
+       "      <td>4.365382e+04</td>\n",
+       "      <td>4.443381e+04</td>\n",
+       "      <td>1.025637e+04</td>\n",
+       "      <td>2.595999e+04</td>\n",
+       "      <td>3.727873e+04</td>\n",
+       "      <td>4.254241e+04</td>\n",
+       "      <td>4.420869e+04</td>\n",
+       "      <td>4.490180e+04</td>\n",
+       "      <td>4431</td>\n",
+       "      <td>16</td>\n",
+       "      <td>2</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>19.994699</td>\n",
+       "      <td>19488027558573963</td>\n",
+       "      <td>0.001080</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>61028.122882</td>\n",
+       "      <td>r</td>\n",
+       "      <td>183.368652</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>63</th>\n",
+       "      <td>30830343259</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>55.792213</td>\n",
+       "      <td>-32.292349</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1.102547e+06</td>\n",
+       "      <td>3.529844e+06</td>\n",
+       "      <td>5.414399e+06</td>\n",
+       "      <td>6.344195e+06</td>\n",
+       "      <td>6.723090e+06</td>\n",
+       "      <td>6.918612e+06</td>\n",
+       "      <td>1.143250e+06</td>\n",
+       "      <td>3.629019e+06</td>\n",
+       "      <td>5.527254e+06</td>\n",
+       "      <td>6.445110e+06</td>\n",
+       "      <td>6.805056e+06</td>\n",
+       "      <td>6.988530e+06</td>\n",
+       "      <td>4431</td>\n",
+       "      <td>16</td>\n",
+       "      <td>2</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>14.566125</td>\n",
+       "      <td>19488027558570141</td>\n",
+       "      <td>0.178786</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>61028.122882</td>\n",
+       "      <td>r</td>\n",
+       "      <td>-1869.438232</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>64</th>\n",
+       "      <td>30830343259</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>55.792213</td>\n",
+       "      <td>-32.292349</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1.102547e+06</td>\n",
+       "      <td>3.529844e+06</td>\n",
+       "      <td>5.414399e+06</td>\n",
+       "      <td>6.344195e+06</td>\n",
+       "      <td>6.723090e+06</td>\n",
+       "      <td>6.918612e+06</td>\n",
+       "      <td>1.143250e+06</td>\n",
+       "      <td>3.629019e+06</td>\n",
+       "      <td>5.527254e+06</td>\n",
+       "      <td>6.445110e+06</td>\n",
+       "      <td>6.805056e+06</td>\n",
+       "      <td>6.988530e+06</td>\n",
+       "      <td>4431</td>\n",
+       "      <td>16</td>\n",
+       "      <td>2</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>14.566125</td>\n",
+       "      <td>19488027558570142</td>\n",
+       "      <td>0.261833</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>61028.122882</td>\n",
+       "      <td>r</td>\n",
+       "      <td>-1869.438232</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>65</th>\n",
+       "      <td>30830343259</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>55.792213</td>\n",
+       "      <td>-32.292349</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1.102547e+06</td>\n",
+       "      <td>3.529844e+06</td>\n",
+       "      <td>5.414399e+06</td>\n",
+       "      <td>6.344195e+06</td>\n",
+       "      <td>6.723090e+06</td>\n",
+       "      <td>6.918612e+06</td>\n",
+       "      <td>1.143250e+06</td>\n",
+       "      <td>3.629019e+06</td>\n",
+       "      <td>5.527254e+06</td>\n",
+       "      <td>6.445110e+06</td>\n",
+       "      <td>6.805056e+06</td>\n",
+       "      <td>6.988530e+06</td>\n",
+       "      <td>4431</td>\n",
+       "      <td>16</td>\n",
+       "      <td>2</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>14.566125</td>\n",
+       "      <td>19488027558570143</td>\n",
+       "      <td>0.494081</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>61028.122882</td>\n",
+       "      <td>r</td>\n",
+       "      <td>-1869.438232</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>66</th>\n",
+       "      <td>31411422664</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>55.795710</td>\n",
+       "      <td>-32.294633</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2.133050e+03</td>\n",
+       "      <td>5.315282e+03</td>\n",
+       "      <td>7.431651e+03</td>\n",
+       "      <td>8.422142e+03</td>\n",
+       "      <td>8.762410e+03</td>\n",
+       "      <td>8.885188e+03</td>\n",
+       "      <td>2.212364e+03</td>\n",
+       "      <td>5.466271e+03</td>\n",
+       "      <td>7.587556e+03</td>\n",
+       "      <td>8.556910e+03</td>\n",
+       "      <td>8.869850e+03</td>\n",
+       "      <td>8.975478e+03</td>\n",
+       "      <td>4431</td>\n",
+       "      <td>16</td>\n",
+       "      <td>2</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>21.722286</td>\n",
+       "      <td>19488027558570146</td>\n",
+       "      <td>0.002090</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>61028.122882</td>\n",
+       "      <td>r</td>\n",
+       "      <td>11.366923</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>67</th>\n",
+       "      <td>31411420662</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>55.834413</td>\n",
+       "      <td>-32.273100</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>3.760663e+03</td>\n",
+       "      <td>2.007589e+04</td>\n",
+       "      <td>4.114686e+04</td>\n",
+       "      <td>5.482920e+04</td>\n",
+       "      <td>6.196086e+04</td>\n",
+       "      <td>6.678671e+04</td>\n",
+       "      <td>3.908117e+03</td>\n",
+       "      <td>2.066410e+04</td>\n",
+       "      <td>4.205259e+04</td>\n",
+       "      <td>5.575162e+04</td>\n",
+       "      <td>6.276104e+04</td>\n",
+       "      <td>6.750162e+04</td>\n",
+       "      <td>4431</td>\n",
+       "      <td>16</td>\n",
+       "      <td>2</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>19.864159</td>\n",
+       "      <td>19488027558572789</td>\n",
+       "      <td>0.001372</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>61028.122882</td>\n",
+       "      <td>r</td>\n",
+       "      <td>-115.410141</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>68</th>\n",
+       "      <td>31411420425</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>55.818703</td>\n",
+       "      <td>-32.271713</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>7.864586e+01</td>\n",
+       "      <td>6.255455e+02</td>\n",
+       "      <td>1.591177e+03</td>\n",
+       "      <td>2.349913e+03</td>\n",
+       "      <td>2.796326e+03</td>\n",
+       "      <td>3.095531e+03</td>\n",
+       "      <td>8.165385e+01</td>\n",
+       "      <td>6.432803e+02</td>\n",
+       "      <td>1.625321e+03</td>\n",
+       "      <td>2.388516e+03</td>\n",
+       "      <td>2.831630e+03</td>\n",
+       "      <td>3.127934e+03</td>\n",
+       "      <td>4431</td>\n",
+       "      <td>16</td>\n",
+       "      <td>2</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>23.395702</td>\n",
+       "      <td>19488027558572942</td>\n",
+       "      <td>0.006915</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>61028.122882</td>\n",
+       "      <td>r</td>\n",
+       "      <td>166.295044</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>69</th>\n",
+       "      <td>31411420361</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>55.823281</td>\n",
+       "      <td>-32.270895</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1.573056e+02</td>\n",
+       "      <td>7.339337e+02</td>\n",
+       "      <td>1.367035e+03</td>\n",
+       "      <td>1.729166e+03</td>\n",
+       "      <td>1.901454e+03</td>\n",
+       "      <td>2.026322e+03</td>\n",
+       "      <td>1.634080e+02</td>\n",
+       "      <td>7.552659e+02</td>\n",
+       "      <td>1.396799e+03</td>\n",
+       "      <td>1.757922e+03</td>\n",
+       "      <td>1.925712e+03</td>\n",
+       "      <td>2.047748e+03</td>\n",
+       "      <td>4431</td>\n",
+       "      <td>16</td>\n",
+       "      <td>2</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>23.560551</td>\n",
+       "      <td>19488027558573063</td>\n",
+       "      <td>0.012575</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>61028.122882</td>\n",
+       "      <td>r</td>\n",
+       "      <td>6.967145</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>70</th>\n",
+       "      <td>31411421139</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>55.816579</td>\n",
+       "      <td>-32.278785</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>7.111902e+01</td>\n",
+       "      <td>3.604402e+02</td>\n",
+       "      <td>7.211092e+02</td>\n",
+       "      <td>9.509966e+02</td>\n",
+       "      <td>1.068605e+03</td>\n",
+       "      <td>1.147035e+03</td>\n",
+       "      <td>7.383799e+01</td>\n",
+       "      <td>3.707531e+02</td>\n",
+       "      <td>7.365945e+02</td>\n",
+       "      <td>9.666037e+02</td>\n",
+       "      <td>1.082066e+03</td>\n",
+       "      <td>1.159011e+03</td>\n",
+       "      <td>4431</td>\n",
+       "      <td>16</td>\n",
+       "      <td>2</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>24.254997</td>\n",
+       "      <td>19488027558572341</td>\n",
+       "      <td>0.004401</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>61028.122882</td>\n",
+       "      <td>r</td>\n",
+       "      <td>-0.209456</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>71</th>\n",
+       "      <td>31500328834</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>55.745089</td>\n",
+       "      <td>-32.239291</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>7.432840e+00</td>\n",
+       "      <td>6.114426e+01</td>\n",
+       "      <td>1.809431e+02</td>\n",
+       "      <td>2.960505e+02</td>\n",
+       "      <td>3.726910e+02</td>\n",
+       "      <td>4.211813e+02</td>\n",
+       "      <td>7.665252e+00</td>\n",
+       "      <td>6.255918e+01</td>\n",
+       "      <td>1.841178e+02</td>\n",
+       "      <td>3.000344e+02</td>\n",
+       "      <td>3.765519e+02</td>\n",
+       "      <td>4.248000e+02</td>\n",
+       "      <td>4431</td>\n",
+       "      <td>17</td>\n",
+       "      <td>2</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>25.756145</td>\n",
+       "      <td>19488164997528248</td>\n",
+       "      <td>0.135303</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>61028.122882</td>\n",
+       "      <td>r</td>\n",
+       "      <td>-0.008144</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>72</th>\n",
+       "      <td>31411416803</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>55.806357</td>\n",
+       "      <td>-32.237593</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>3.902041e+01</td>\n",
+       "      <td>2.603418e+02</td>\n",
+       "      <td>6.353231e+02</td>\n",
+       "      <td>9.304046e+02</td>\n",
+       "      <td>1.103758e+03</td>\n",
+       "      <td>1.212674e+03</td>\n",
+       "      <td>4.055155e+01</td>\n",
+       "      <td>2.679405e+02</td>\n",
+       "      <td>6.493159e+02</td>\n",
+       "      <td>9.460889e+02</td>\n",
+       "      <td>1.118057e+03</td>\n",
+       "      <td>1.225698e+03</td>\n",
+       "      <td>4431</td>\n",
+       "      <td>16</td>\n",
+       "      <td>2</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>24.392513</td>\n",
+       "      <td>19488027558576244</td>\n",
+       "      <td>0.018091</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>61028.122882</td>\n",
+       "      <td>r</td>\n",
+       "      <td>0.418374</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "              id  host_galaxy         ra        dec  redshift  is_variable  \\\n",
+       "0   MS_9300_3652   4126946327  55.809744 -32.332801  0.945324            1   \n",
+       "1   MS_9300_4184   4127142911  55.933019 -32.284723  0.973225            1   \n",
+       "0    31411429981           -1  55.820381 -32.364658  0.000000            1   \n",
+       "1    31107745011           -1  55.815901 -32.372821  0.000000            1   \n",
+       "2    31411429992           -1  55.808551 -32.365349  0.000000            1   \n",
+       "3    31405687653           -1  55.769400 -32.385121  0.000000            1   \n",
+       "4    31411430598           -1  55.784715 -32.371861  0.000000            1   \n",
+       "5    31411431584           -1  55.694891 -32.385083  0.000000            1   \n",
+       "6    31405685097           -1  55.698054 -32.367778  0.000000            1   \n",
+       "7    31411429963           -1  55.709906 -32.370149  0.000000            1   \n",
+       "8    31405695056           -1  55.752186 -32.444417  0.000000            1   \n",
+       "9    31303591512           -1  55.734631 -32.405041  0.000000            1   \n",
+       "10   31405688188           -1  55.737764 -32.390812  0.000000            1   \n",
+       "11   31500338795           -1  55.766827 -32.392674  0.000000            1   \n",
+       "12   30830343662           -1  55.732586 -32.444870  0.000000            1   \n",
+       "13   31107745884           -1  55.685606 -32.420192  0.000000            1   \n",
+       "14   31411431456           -1  55.846529 -32.376424  0.000000            1   \n",
+       "15   31405689453           -1  55.861416 -32.394664  0.000000            1   \n",
+       "16   31411433079           -1  55.862970 -32.390615  0.000000            1   \n",
+       "17   31411435238           -1  55.927944 -32.409212  0.000000            1   \n",
+       "18   31405690039           -1  55.932181 -32.396247  0.000000            1   \n",
+       "19   31411435379           -1  55.879466 -32.412980  0.000000            1   \n",
+       "20   31405689834           -1  55.890474 -32.396386  0.000000            1   \n",
+       "21   31405689317           -1  55.915417 -32.390858  0.000000            1   \n",
+       "22   31405687067           -1  55.843104 -32.376660  0.000000            1   \n",
+       "23   31411433059           -1  55.845564 -32.391282  0.000000            1   \n",
+       "24   31411433171           -1  55.837128 -32.392919  0.000000            1   \n",
+       "25   31411437889           -1  55.810828 -32.439987  0.000000            1   \n",
+       "26   31411437836           -1  55.802368 -32.439891  0.000000            1   \n",
+       "27   31411439894           -1  55.908861 -32.453742  0.000000            1   \n",
+       "28   31500343398           -1  55.890708 -32.457614  0.000000            1   \n",
+       "29   31411438984           -1  55.896820 -32.445671  0.000000            1   \n",
+       "30   31405691981           -1  55.838388 -32.416365  0.000000            1   \n",
+       "31   31500341979           -1  55.822515 -32.439874  0.000000            1   \n",
+       "32   31405677272           -1  55.728531 -32.302963  0.000000            1   \n",
+       "33   31411422848           -1  55.755820 -32.298574  0.000000            1   \n",
+       "34   31405684392           -1  55.739303 -32.360498  0.000000            1   \n",
+       "35   31411429222           -1  55.712634 -32.363318  0.000000            1   \n",
+       "36   31411427628           -1  55.742855 -32.346595  0.000000            1   \n",
+       "37   31411417626           -1  55.729487 -32.249257  0.000000            1   \n",
+       "38   31411419490           -1  55.723111 -32.267330  0.000000            1   \n",
+       "39   31411420922           -1  55.701453 -32.282580  0.000000            1   \n",
+       "40   31500333496           -1  55.861193 -32.306093  0.000000            1   \n",
+       "41   31411427874           -1  55.943414 -32.338642  0.000000            1   \n",
+       "42   31411422491           -1  55.882983 -32.288284  0.000000            1   \n",
+       "43   31500331386           -1  55.888395 -32.271442  0.000000            1   \n",
+       "44   31411423360           -1  55.919947 -32.295270  0.000000            1   \n",
+       "45   31411425201           -1  55.917385 -32.313623  0.000000            1   \n",
+       "46   31102012493           -1  55.911107 -32.306644  0.000000            1   \n",
+       "47   31411426910           -1  55.900401 -32.331192  0.000000            1   \n",
+       "48   31411425954           -1  55.917176 -32.321103  0.000000            1   \n",
+       "49   31405680808           -1  55.906242 -32.323183  0.000000            1   \n",
+       "50   31411419091           -1  55.952314 -32.251002  0.000000            1   \n",
+       "51   31500330101           -1  55.964263 -32.247593  0.000000            1   \n",
+       "52   31411420881           -1  55.962893 -32.268407  0.000000            1   \n",
+       "53   31405682947           -1  55.820947 -32.345129  0.000000            1   \n",
+       "54   31500334199           -1  55.797823 -32.320015  0.000000            1   \n",
+       "55   31102012281           -1  55.808410 -32.302038  0.000000            1   \n",
+       "56   31411417475           -1  55.813107 -32.243519  0.000000            1   \n",
+       "57   31411418748           -1  55.758807 -32.257996  0.000000            1   \n",
+       "58   31411420609           -1  55.776831 -32.275624  0.000000            1   \n",
+       "59   31411420975           -1  55.775825 -32.279179  0.000000            1   \n",
+       "60   30321355767           -1  55.790356 -32.270034  0.000000            1   \n",
+       "61   31405673531           -1  55.762365 -32.269246  0.000000            1   \n",
+       "62   31411419399           -1  55.816679 -32.261316  0.000000            1   \n",
+       "63   30830343259           -1  55.792213 -32.292349  0.000000            1   \n",
+       "64   30830343259           -1  55.792213 -32.292349  0.000000            1   \n",
+       "65   30830343259           -1  55.792213 -32.292349  0.000000            1   \n",
+       "66   31411422664           -1  55.795710 -32.294633  0.000000            1   \n",
+       "67   31411420662           -1  55.834413 -32.273100  0.000000            1   \n",
+       "68   31411420425           -1  55.818703 -32.271713  0.000000            1   \n",
+       "69   31411420361           -1  55.823281 -32.270895  0.000000            1   \n",
+       "70   31411421139           -1  55.816579 -32.278785  0.000000            1   \n",
+       "71   31500328834           -1  55.745089 -32.239291  0.000000            1   \n",
+       "72   31411416803           -1  55.806357 -32.237593  0.000000            1   \n",
+       "\n",
+       "    is_pointsource        flux_u        flux_g        flux_r        flux_i  \\\n",
+       "0                1  0.000000e+00  0.000000e+00  0.000000e+00  0.000000e+00   \n",
+       "1                1  0.000000e+00  0.000000e+00  0.000000e+00  0.000000e+00   \n",
+       "0                1  2.310072e+00  2.011389e+01  5.605774e+01  8.733038e+01   \n",
+       "1                1  3.636094e+03  3.067184e+04  9.339306e+04  1.561495e+05   \n",
+       "2                1  1.360501e+01  1.065173e+02  2.913469e+02  4.534999e+02   \n",
+       "3                1  3.210847e+02  1.358971e+03  2.467448e+03  3.095575e+03   \n",
+       "4                1  1.526092e+04  3.580282e+04  4.894275e+04  5.485975e+04   \n",
+       "5                1  2.837938e+01  2.265870e+02  6.782509e+02  1.134425e+03   \n",
+       "6                1  4.323857e+00  3.425957e+01  1.015408e+02  1.682722e+02   \n",
+       "7                1  1.610343e+03  1.000218e+04  2.158472e+04  2.929542e+04   \n",
+       "8                1  2.008788e+01  1.596345e+02  4.868940e+02  8.298591e+02   \n",
+       "9                1  1.493161e+03  1.155809e+04  2.736206e+04  3.862286e+04   \n",
+       "10               1  2.855799e+00  2.280097e+01  6.333499e+01  9.960946e+01   \n",
+       "11               1  7.660849e+00  5.974038e+01  1.744193e+02  2.862502e+02   \n",
+       "12               1  2.180379e+05  1.098919e+06  2.033413e+06  2.547453e+06   \n",
+       "13               1  3.100957e+03  2.090839e+04  4.672550e+04  6.436393e+04   \n",
+       "14               1  3.199408e+01  2.428855e+02  6.534235e+02  1.008914e+03   \n",
+       "15               1  8.630159e+03  1.793067e+04  2.237049e+04  2.396540e+04   \n",
+       "16               1  1.117214e+01  8.742661e+01  2.390473e+02  3.719982e+02   \n",
+       "17               1  1.855468e+01  1.427604e+02  3.577603e+02  5.246328e+02   \n",
+       "18               1  1.958104e+02  7.874763e+02  1.401214e+03  1.757307e+03   \n",
+       "19               1  4.983582e+03  1.444491e+04  2.249491e+04  2.642928e+04   \n",
+       "20               1  2.109138e+02  1.630708e+03  3.857261e+03  5.441409e+03   \n",
+       "21               1  3.969585e+01  3.286050e+02  9.834387e+02  1.626886e+03   \n",
+       "22               1  1.514854e+03  3.560597e+03  4.907237e+03  5.493993e+03   \n",
+       "23               1  5.132287e+00  3.951911e+01  9.909064e+01  1.453693e+02   \n",
+       "24               1  2.256825e+01  1.478972e+02  3.264514e+02  4.472291e+02   \n",
+       "25               1  4.196752e+04  8.952342e+04  1.182905e+05  1.307665e+05   \n",
+       "26               1  1.486485e+01  9.816481e+01  2.289893e+02  3.254244e+02   \n",
+       "27               1  1.196796e+02  4.369773e+02  7.243543e+02  8.718572e+02   \n",
+       "28               1  1.143811e+01  9.094086e+01  2.176070e+02  3.084898e+02   \n",
+       "29               1  6.125968e+01  4.941989e+02  1.373331e+03  2.153890e+03   \n",
+       "30               1  3.551341e+04  9.952873e+04  1.514150e+05  1.798811e+05   \n",
+       "31               1  4.163986e+00  3.577196e+01  1.027893e+02  1.638835e+02   \n",
+       "32               1  1.615539e+03  5.026175e+03  7.790952e+03  9.121348e+03   \n",
+       "33               1  1.502293e+02  1.151415e+03  3.012745e+03  4.556335e+03   \n",
+       "34               1  2.067061e+02  7.876459e+02  1.357689e+03  1.678637e+03   \n",
+       "35               1  2.518996e+00  2.061658e+01  6.219110e+01  1.039812e+02   \n",
+       "36               1  2.871198e+00  2.365984e+01  7.197016e+01  1.213275e+02   \n",
+       "37               1  1.004497e+03  2.052994e+03  2.660634e+03  2.907241e+03   \n",
+       "38               1  1.610350e+00  1.294560e+01  3.920560e+01  6.640604e+01   \n",
+       "39               1  2.837632e+02  5.407520e+02  6.665936e+02  7.060361e+02   \n",
+       "40               1  3.886513e+02  1.812883e+03  3.376096e+03  4.269892e+03   \n",
+       "41               1  3.762596e+02  3.163965e+03  7.746769e+03  1.109013e+04   \n",
+       "42               1  5.446069e+00  4.326986e+01  1.319566e+02  2.248824e+02   \n",
+       "43               1  4.943869e+00  4.042256e+01  1.208520e+02  2.001543e+02   \n",
+       "44               1  9.690533e+00  8.066305e+01  2.279294e+02  3.604174e+02   \n",
+       "45               1  5.842709e+00  4.620183e+01  1.227773e+02  1.870214e+02   \n",
+       "46               1  5.850730e+03  3.363810e+04  6.612409e+04  8.493040e+04   \n",
+       "47               1  1.367132e+01  1.089989e+02  3.259483e+02  5.447780e+02   \n",
+       "48               1  3.923478e+05  8.033379e+05  9.855239e+05  1.042120e+06   \n",
+       "49               1  3.921883e+01  3.366847e+02  9.669809e+02  1.541168e+03   \n",
+       "50               1  3.341661e+00  2.682051e+01  7.920931e+01  1.294146e+02   \n",
+       "51               1  5.702467e+01  4.674644e+02  1.437125e+03  2.450701e+03   \n",
+       "52               1  7.199081e+01  4.880677e+02  1.153164e+03  1.647874e+03   \n",
+       "53               1  7.043227e+01  3.774267e+02  7.588021e+02  9.987484e+02   \n",
+       "54               1  2.738221e+01  2.309472e+02  6.337051e+02  9.800634e+02   \n",
+       "55               1  6.944726e+03  3.649625e+04  7.022406e+04  8.974331e+04   \n",
+       "56               1  2.152327e+01  1.435742e+02  3.214370e+02  4.448448e+02   \n",
+       "57               1  2.792992e+00  2.074873e+01  5.345086e+01  8.025360e+01   \n",
+       "58               1  1.394515e+03  4.652577e+03  7.543739e+03  9.009576e+03   \n",
+       "59               1  4.581004e+01  3.528557e+02  8.849554e+02  1.298476e+03   \n",
+       "60               1  2.871828e+05  1.214024e+06  2.041236e+06  2.452630e+06   \n",
+       "61               1  1.941181e+01  1.426362e+02  3.504183e+02  5.093890e+02   \n",
+       "62               1  9.874977e+03  2.521870e+04  3.648549e+04  4.184838e+04   \n",
+       "63               1  1.102547e+06  3.529844e+06  5.414399e+06  6.344195e+06   \n",
+       "64               1  1.102547e+06  3.529844e+06  5.414399e+06  6.344195e+06   \n",
+       "65               1  1.102547e+06  3.529844e+06  5.414399e+06  6.344195e+06   \n",
+       "66               1  2.133050e+03  5.315282e+03  7.431651e+03  8.422142e+03   \n",
+       "67               1  3.760663e+03  2.007589e+04  4.114686e+04  5.482920e+04   \n",
+       "68               1  7.864586e+01  6.255455e+02  1.591177e+03  2.349913e+03   \n",
+       "69               1  1.573056e+02  7.339337e+02  1.367035e+03  1.729166e+03   \n",
+       "70               1  7.111902e+01  3.604402e+02  7.211092e+02  9.509966e+02   \n",
+       "71               1  7.432840e+00  6.114426e+01  1.809431e+02  2.960505e+02   \n",
+       "72               1  3.902041e+01  2.603418e+02  6.353231e+02  9.304046e+02   \n",
+       "\n",
+       "          flux_z        flux_y   flux_u_noMW   flux_g_noMW   flux_r_noMW  \\\n",
+       "0   0.000000e+00  0.000000e+00  0.000000e+00  0.000000e+00  0.000000e+00   \n",
+       "1   0.000000e+00  0.000000e+00  0.000000e+00  0.000000e+00  0.000000e+00   \n",
+       "0   1.068484e+02  1.197150e+02  2.390107e+00  2.062942e+01  5.714767e+01   \n",
+       "1   1.994355e+05  2.274639e+05  3.763048e+03  3.146307e+04  9.522001e+04   \n",
+       "2   5.554426e+02  6.201711e+02  1.408956e+01  1.093290e+02  2.971701e+02   \n",
+       "3   3.397009e+03  3.610074e+03  3.327238e+02  1.395918e+03  2.517652e+03   \n",
+       "4   5.661934e+04  5.711891e+04  1.581094e+04  3.678880e+04  4.993746e+04   \n",
+       "5   1.456302e+03  1.671033e+03  2.947191e+01  2.330310e+02  6.928635e+02   \n",
+       "6   2.144816e+02  2.447493e+02  4.486736e+00  3.521356e+01  1.036824e+02   \n",
+       "7   3.327904e+04  3.600256e+04  1.670990e+03  1.028320e+04  2.204137e+04   \n",
+       "8   1.079333e+03  1.247763e+03  2.085628e+01  1.641416e+02  4.973089e+02   \n",
+       "9   4.483291e+04  4.926749e+04  1.549979e+03  1.188451e+04  2.794624e+04   \n",
+       "10  1.231738e+02  1.384741e+02  2.962494e+00  2.343136e+01  6.466182e+01   \n",
+       "11  3.629403e+02  4.130834e+02  7.939463e+00  6.134725e+01  1.779727e+02   \n",
+       "12  2.770577e+06  2.931952e+06  2.266201e+05  1.131411e+06  2.078436e+06   \n",
+       "13  7.371798e+04  8.022395e+04  3.223948e+03  2.152570e+04  4.776568e+04   \n",
+       "14  1.230678e+03  1.370760e+03  3.310245e+01  2.491270e+02  6.661313e+02   \n",
+       "15  2.412536e+04  2.397641e+04  8.922797e+03  1.839731e+04  2.279894e+04   \n",
+       "16  4.555325e+02  5.085623e+02  1.154775e+01  8.960567e+01  2.435595e+02   \n",
+       "17  6.218842e+02  6.865504e+02  1.913816e+01  1.460931e+02  3.640820e+02   \n",
+       "18  1.922564e+03  2.024145e+03  2.019792e+02  8.061896e+02  1.426088e+03   \n",
+       "19  2.787818e+04  2.869732e+04  5.150278e+03  1.481043e+04  2.291796e+04   \n",
+       "20  6.313410e+03  6.936081e+03  2.179345e+02  1.671019e+03  3.929375e+03   \n",
+       "21  2.065896e+03  2.349544e+03  4.097235e+01  3.364189e+02  1.001172e+03   \n",
+       "22  5.646328e+03  5.690145e+03  1.567217e+03  3.654480e+03  5.002811e+03   \n",
+       "23  1.723696e+02  1.903268e+02  5.310069e+00  4.053497e+01  1.010181e+02   \n",
+       "24  5.106219e+02  5.544650e+02  2.335676e+01  1.517486e+02  3.328605e+02   \n",
+       "25  1.338773e+05  1.341264e+05  4.348167e+04  9.199313e+04  1.206956e+05   \n",
+       "26  3.794148e+02  4.143253e+02  1.541031e+01  1.008469e+02  2.337093e+02   \n",
+       "27  9.313407e+02  9.702585e+02  1.234979e+02  4.475133e+02  7.373729e+02   \n",
+       "28  3.588933e+02  3.950652e+02  1.181322e+01  9.315443e+01  2.216149e+02   \n",
+       "29  2.647792e+03  2.962875e+03  6.323672e+01  5.060165e+02  1.398218e+03   \n",
+       "30  1.930506e+05  1.986065e+05  3.674895e+04  1.021687e+05  1.543901e+05   \n",
+       "31  2.031530e+02  2.284623e+02  4.311286e+00  3.670789e+01  1.048291e+02   \n",
+       "32  9.601045e+03  9.886889e+03  1.669845e+03  5.154297e+03  7.938493e+03   \n",
+       "33  5.492216e+03  6.095685e+03  1.553787e+02  1.180696e+03  3.070735e+03   \n",
+       "34  1.823917e+03  1.910985e+03  2.142133e+02  8.092559e+02  1.385463e+03   \n",
+       "35  1.331367e+02  1.523226e+02  2.612644e+00  2.118282e+01  6.348559e+01   \n",
+       "36  1.563542e+02  1.798251e+02  2.972296e+00  2.427516e+01  7.338927e+01   \n",
+       "37  2.950957e+03  2.940347e+03  1.036130e+03  2.102447e+03  2.707870e+03   \n",
+       "38  8.612878e+01  9.954173e+01  1.660884e+00  1.324574e+01  3.989482e+01   \n",
+       "39  7.006859e+02  6.885002e+02  2.927447e+02  5.538500e+02  6.784819e+02   \n",
+       "40  4.694878e+03  5.002917e+03  4.033418e+02  1.864231e+03  3.447735e+03   \n",
+       "41  1.297131e+04  1.433456e+04  3.879048e+02  3.236573e+03  7.881440e+03   \n",
+       "42  2.924638e+02  3.380874e+02  5.649847e+00  4.446504e+01  1.347182e+02   \n",
+       "43  2.544263e+02  2.894038e+02  5.130087e+00  4.154788e+01  1.234013e+02   \n",
+       "44  4.449094e+02  4.990877e+02  1.001718e+01  8.267590e+01  2.322415e+02   \n",
+       "45  2.262397e+02  2.516679e+02  6.034833e+00  4.732835e+01  1.250447e+02   \n",
+       "46  9.348997e+04  9.994627e+04  6.048012e+03  3.448730e+04  6.737831e+04   \n",
+       "47  6.989665e+02  8.017766e+02  1.411914e+01  1.116384e+02  3.319308e+02   \n",
+       "48  1.037414e+06  1.025661e+06  4.055089e+05  8.240146e+05  1.004190e+06   \n",
+       "49  1.909941e+03  2.147553e+03  4.049551e+01  3.447938e+02  9.846497e+02   \n",
+       "50  1.630296e+02  1.841278e+02  3.461406e+00  2.753140e+01  8.080021e+01   \n",
+       "51  3.185864e+03  3.683083e+03  5.909653e+01  4.800020e+02  1.466344e+03   \n",
+       "52  1.926922e+03  2.108108e+03  7.455105e+01  5.009849e+02  1.176202e+03   \n",
+       "53  1.117240e+03  1.195281e+03  7.298188e+01  3.876635e+02  7.742535e+02   \n",
+       "54  1.194772e+03  1.335562e+03  2.836490e+01  2.370819e+02  6.464662e+02   \n",
+       "55  9.892876e+04  1.057880e+05  7.208150e+03  3.753248e+04  7.172007e+04   \n",
+       "56  5.140989e+02  5.635848e+02  2.235751e+01  1.477124e+02  3.284254e+02   \n",
+       "57  9.638987e+01  1.067362e+02  2.890879e+00  2.128856e+01  5.450277e+01   \n",
+       "58  9.589650e+03  9.955562e+03  1.444989e+03  4.779845e+03  7.697320e+03   \n",
+       "59  1.539845e+03  1.700385e+03  4.745699e+01  3.622679e+02  9.028160e+02   \n",
+       "60  2.620004e+06  2.732899e+06  2.977700e+05  1.247871e+06  2.083680e+06   \n",
+       "61  6.011580e+02  6.614888e+02  2.010053e+01  1.463948e+02  3.573996e+02   \n",
+       "62  4.365382e+04  4.443381e+04  1.025637e+04  2.595999e+04  3.727873e+04   \n",
+       "63  6.723090e+06  6.918612e+06  1.143250e+06  3.629019e+06  5.527254e+06   \n",
+       "64  6.723090e+06  6.918612e+06  1.143250e+06  3.629019e+06  5.527254e+06   \n",
+       "65  6.723090e+06  6.918612e+06  1.143250e+06  3.629019e+06  5.527254e+06   \n",
+       "66  8.762410e+03  8.885188e+03  2.212364e+03  5.466271e+03  7.587556e+03   \n",
+       "67  6.196086e+04  6.678671e+04  3.908117e+03  2.066410e+04  4.205259e+04   \n",
+       "68  2.796326e+03  3.095531e+03  8.165385e+01  6.432803e+02  1.625321e+03   \n",
+       "69  1.901454e+03  2.026322e+03  1.634080e+02  7.552659e+02  1.396799e+03   \n",
+       "70  1.068605e+03  1.147035e+03  7.383799e+01  3.707531e+02  7.365945e+02   \n",
+       "71  3.726910e+02  4.211813e+02  7.665252e+00  6.255918e+01  1.841178e+02   \n",
+       "72  1.103758e+03  1.212674e+03  4.055155e+01  2.679405e+02  6.493159e+02   \n",
+       "\n",
+       "     flux_i_noMW   flux_z_noMW   flux_y_noMW  tract  patch  truth_type  \\\n",
+       "0   0.000000e+00  0.000000e+00  0.000000e+00   4431      9           3   \n",
+       "1   0.000000e+00  0.000000e+00  0.000000e+00   4431     16           3   \n",
+       "0   8.863153e+01  1.080729e+02  1.208527e+02   4431      9           2   \n",
+       "1   1.584920e+05  2.017389e+05  2.296427e+05   4431      9           2   \n",
+       "2   4.604453e+02  5.619857e+02  6.262289e+02   4431      9           2   \n",
+       "3   3.143679e+03  3.437509e+03  3.645750e+03   4431     10           2   \n",
+       "4   5.571016e+04  5.729187e+04  5.768116e+04   4431      9           2   \n",
+       "5   1.153159e+03  1.474815e+03  1.688649e+03   4431     10           2   \n",
+       "6   1.709927e+02  2.171506e+02  2.472750e+02   4431     10           2   \n",
+       "7   2.976937e+04  3.369241e+04  3.637329e+04   4431     10           2   \n",
+       "8   8.434660e+02  1.092960e+03  1.260828e+03   4431     10           2   \n",
+       "9   3.925377e+04  4.539539e+04  4.977998e+04   4431     10           2   \n",
+       "10  1.012082e+02  1.246945e+02  1.398916e+02   4431     10           2   \n",
+       "11  2.907202e+02  3.673026e+02  4.172007e+02   4431     10           2   \n",
+       "12  2.590536e+06  2.806513e+06  2.963476e+06   4431     10           2   \n",
+       "13  6.545972e+04  7.468162e+04  8.109330e+04   4431     10           2   \n",
+       "14  1.023948e+03  1.244783e+03  1.383787e+03   4431      9           2   \n",
+       "15  2.431535e+04  2.439516e+04  2.419864e+04   4431      9           2   \n",
+       "16  3.773792e+02  4.606014e+02  5.132549e+02   4431      9           2   \n",
+       "17  5.317321e+02  6.283535e+02  6.924729e+02   4431      9           2   \n",
+       "18  1.781142e+03  1.942575e+03  2.041610e+03   4431      9           2   \n",
+       "19  2.680867e+04  2.818507e+04  2.895912e+04   4431      9           2   \n",
+       "20  5.519267e+03  6.382808e+03  6.999302e+03   4431      9           2   \n",
+       "21  1.649384e+03  2.087891e+03  2.370291e+03   4431      9           2   \n",
+       "22  5.575616e+03  5.710615e+03  5.743831e+03   4431      9           2   \n",
+       "23  1.475343e+02  1.743428e+02  1.921334e+02   4431      9           2   \n",
+       "24  4.539456e+02  5.165110e+02  5.597668e+02   4431      9           2   \n",
+       "25  1.327940e+05  1.354678e+05  1.354467e+05   4431      9           2   \n",
+       "26  3.305572e+02  3.840125e+02  4.184878e+02   4431      9           2   \n",
+       "27  8.838237e+02  9.411454e+02  9.787255e+02   4431      9           2   \n",
+       "28  3.128388e+02  3.627805e+02  3.986135e+02   4431      9           2   \n",
+       "29  2.183808e+03  2.676088e+03  2.989133e+03   4431      9           2   \n",
+       "30  1.825789e+05  1.952705e+05  2.004996e+05   4431      9           2   \n",
+       "31  1.663763e+02  2.055306e+02  2.306795e+02   4431      9           2   \n",
+       "32  9.253201e+03  9.707457e+03  9.977709e+03   4431     17           2   \n",
+       "33  4.623513e+03  5.554483e+03  6.152989e+03   4431     17           2   \n",
+       "34  1.704860e+03  1.845774e+03  1.929966e+03   4431     10           2   \n",
+       "35  1.056405e+02  1.347722e+02  1.538744e+02   4431     10           2   \n",
+       "36  1.231618e+02  1.581743e+02  1.815612e+02   4431     10           2   \n",
+       "37  2.946607e+03  2.981578e+03  2.965630e+03   4431     17           2   \n",
+       "38  6.730120e+01  8.702299e+01  1.003990e+02   4431     17           2   \n",
+       "39  7.156362e+02  7.079850e+02  6.944423e+02   4431     17           2   \n",
+       "40  4.339098e+03  4.753256e+03  5.054481e+03   4431     16           2   \n",
+       "41  1.123774e+04  1.310397e+04  1.445614e+04   4431      9           2   \n",
+       "42  2.284902e+02  2.960767e+02  3.415512e+02   4431     16           2   \n",
+       "43  2.033912e+02  2.575934e+02  2.923912e+02   4431     16           2   \n",
+       "44  3.656440e+02  4.498733e+02  5.037054e+02   4431     16           2   \n",
+       "45  1.896676e+02  2.287015e+02  2.539388e+02   4431     16           2   \n",
+       "46  8.616176e+04  9.453010e+04  1.008682e+05   4431     16           2   \n",
+       "47  5.524448e+02  7.065409e+02  8.089828e+02   4431      9           2   \n",
+       "48  1.057168e+06  1.048885e+06  1.035059e+06   4431      9           2   \n",
+       "49  1.562757e+03  1.930529e+03  2.166751e+03   4431      9           2   \n",
+       "50  1.314077e+02  1.649620e+02  1.859376e+02   4431     16           2   \n",
+       "51  2.488902e+03  3.224106e+03  3.719750e+03   4431     16           2   \n",
+       "52  1.673069e+03  1.949560e+03  2.128642e+03   4431     16           2   \n",
+       "53  1.014295e+03  1.130589e+03  1.207120e+03   4431      9           2   \n",
+       "54  9.951842e+02  1.208948e+03  1.348703e+03   4431      9           2   \n",
+       "55  9.120397e+04  1.001641e+05  1.068830e+05   4431     16           2   \n",
+       "56  4.522407e+02  5.206620e+02  5.695498e+02   4431     16           2   \n",
+       "57  8.146323e+01  9.750690e+01  1.077618e+02   4431     17           2   \n",
+       "58  9.149597e+03  9.703936e+03  1.005389e+04   4431     17           2   \n",
+       "59  1.318539e+03  1.558131e+03  1.717129e+03   4431     17           2   \n",
+       "60  2.491568e+06  2.651890e+06  2.760472e+06   4431     16           2   \n",
+       "61  5.171577e+02  6.082042e+02  6.679174e+02   4431     17           2   \n",
+       "62  4.254241e+04  4.420869e+04  4.490180e+04   4431     16           2   \n",
+       "63  6.445110e+06  6.805056e+06  6.988530e+06   4431     16           2   \n",
+       "64  6.445110e+06  6.805056e+06  6.988530e+06   4431     16           2   \n",
+       "65  6.445110e+06  6.805056e+06  6.988530e+06   4431     16           2   \n",
+       "66  8.556910e+03  8.869850e+03  8.975478e+03   4431     16           2   \n",
+       "67  5.575162e+04  6.276104e+04  6.750162e+04   4431     16           2   \n",
+       "68  2.388516e+03  2.831630e+03  3.127934e+03   4431     16           2   \n",
+       "69  1.757922e+03  1.925712e+03  2.047748e+03   4431     16           2   \n",
+       "70  9.666037e+02  1.082066e+03  1.159011e+03   4431     16           2   \n",
+       "71  3.000344e+02  3.765519e+02  4.248000e+02   4431     17           2   \n",
+       "72  9.460889e+02  1.118057e+03  1.225698e+03   4431     16           2   \n",
+       "\n",
+       "    cosmodc2_hp  cosmodc2_id      mag_r     match_objectId  match_sep  \\\n",
+       "0            -1           -1        inf                 -1  -1.000000   \n",
+       "1            -1           -1        inf                 -1  -1.000000   \n",
+       "0            -1           -1  27.028410                 -1  -1.000000   \n",
+       "1            -1           -1  18.974213  19488023263616405   0.005030   \n",
+       "2            -1           -1  25.238974  19488023263584596   0.017922   \n",
+       "3            -1           -1  22.919380  19488160702569925   0.012625   \n",
+       "4            -1           -1  19.675779  19488023263616515   0.003004   \n",
+       "5            -1           -1  24.321526  19488160702569673   0.054073   \n",
+       "6            -1           -1  26.383398  19488160702537820   0.065193   \n",
+       "7            -1           -1  20.564634  19488160702570912   0.001382   \n",
+       "8            -1           -1  24.681414  19488160702564714   0.011670   \n",
+       "9            -1           -1  20.307129  19488160702536196   0.000902   \n",
+       "10           -1           -1  26.895889                 -1  -1.000000   \n",
+       "11           -1           -1  25.796013  19488160702536733   0.027959   \n",
+       "12           -1           -1  15.629436  19488160702564816   0.000737   \n",
+       "13           -1           -1  19.726116  19488160702566987   0.002003   \n",
+       "14           -1           -1  24.362013                 -1  -1.000000   \n",
+       "15           -1           -1  20.525810  19488023263614092   0.001680   \n",
+       "16           -1           -1  25.453789  19488023263614853   0.015480   \n",
+       "17           -1           -1  25.016020  19488023263582519   0.081374   \n",
+       "18           -1           -1  23.533737  19488023263614318   0.019977   \n",
+       "19           -1           -1  20.519789  19488023263612775   0.001563   \n",
+       "20           -1           -1  22.434301  19488023263614214   0.004244   \n",
+       "21           -1           -1  23.918133  19488023263614717   0.027648   \n",
+       "22           -1           -1  22.172907  19488023263615824   0.001346   \n",
+       "23           -1           -1  26.409920  19488023263614736   0.038123   \n",
+       "24           -1           -1  25.115454  19488023263614621   0.075458   \n",
+       "25           -1           -1  18.717625  19488023263610338   0.001792   \n",
+       "26           -1           -1  25.500462  19488023263610223   0.064217   \n",
+       "27           -1           -1  24.250124  19488023263609197   0.022966   \n",
+       "28           -1           -1  25.555819  19488023263608961   0.130993   \n",
+       "29           -1           -1  23.555563  19488023263609726   0.003967   \n",
+       "30           -1           -1  18.449577  19488023263612141   0.000878   \n",
+       "31           -1           -1  26.370129                 -1  -1.000000   \n",
+       "32           -1           -1  21.671024  19488164997524412   0.003816   \n",
+       "33           -1           -1  22.702595  19488164997525140   0.174717   \n",
+       "34           -1           -1  23.567999  19488160702538132   0.013724   \n",
+       "35           -1           -1  26.915680  19488160702571558   0.044845   \n",
+       "36           -1           -1  26.757118                 -1  -1.000000   \n",
+       "37           -1           -1  22.837536  19488164997528069   0.002562   \n",
+       "38           -1           -1  27.416630                 -1  -1.000000   \n",
+       "39           -1           -1  24.340347  19488164997525888   0.104272   \n",
+       "40           -1           -1  22.578962  19488027558569691   0.009181   \n",
+       "41           -1           -1  21.677198  19488023263619444   0.002587   \n",
+       "42           -1           -1  26.098921  19488027558571325   0.117320   \n",
+       "43           -1           -1  26.194365  19488027558572982   0.099590   \n",
+       "44           -1           -1  25.505501  19488027558544640   0.050721   \n",
+       "45           -1           -1  26.177206  19488027558543772   0.111726   \n",
+       "46           -1           -1  19.349100  19488027558569589   0.003833   \n",
+       "47           -1           -1  25.117128  19488023263620184   0.034914   \n",
+       "48           -1           -1  16.415833  19488023263620946   0.001923   \n",
+       "49           -1           -1  23.936455  19488023263620703   0.002079   \n",
+       "50           -1           -1  26.653059                 -1  -1.000000   \n",
+       "51           -1           -1  23.506264  19488027558575286   0.005336   \n",
+       "52           -1           -1  23.745272  19488027558573200   0.012206   \n",
+       "53           -1           -1  24.199678  19488023263585542   0.012895   \n",
+       "54           -1           -1  24.395283  19488023263621129   0.009996   \n",
+       "55           -1           -1  19.283785  19488027558569966   0.000290   \n",
+       "56           -1           -1  25.132259  19488027558575564   0.040441   \n",
+       "57           -1           -1  27.080114                 -1  -1.000000   \n",
+       "58           -1           -1  21.706032  19488164997523097   0.002863   \n",
+       "59           -1           -1  24.032698                 -1  -1.000000   \n",
+       "60           -1           -1  15.625267  19488027558572839   0.000794   \n",
+       "61           -1           -1  25.038532  19488164997523193   0.033138   \n",
+       "62           -1           -1  19.994699  19488027558573963   0.001080   \n",
+       "63           -1           -1  14.566125  19488027558570141   0.178786   \n",
+       "64           -1           -1  14.566125  19488027558570142   0.261833   \n",
+       "65           -1           -1  14.566125  19488027558570143   0.494081   \n",
+       "66           -1           -1  21.722286  19488027558570146   0.002090   \n",
+       "67           -1           -1  19.864159  19488027558572789   0.001372   \n",
+       "68           -1           -1  23.395702  19488027558572942   0.006915   \n",
+       "69           -1           -1  23.560551  19488027558573063   0.012575   \n",
+       "70           -1           -1  24.254997  19488027558572341   0.004401   \n",
+       "71           -1           -1  25.756145  19488164997528248   0.135303   \n",
+       "72           -1           -1  24.392513  19488027558576244   0.018091   \n",
+       "\n",
+       "    is_good_match  is_nearest_neighbor  is_unique_truth_entry  obsHistID  \\\n",
+       "0           False                False                   True     982985   \n",
+       "1           False                False                   True     982985   \n",
+       "0           False                False                   True     982985   \n",
+       "1            True                 True                   True     982985   \n",
+       "2            True                 True                   True     982985   \n",
+       "3            True                 True                   True     982985   \n",
+       "4            True                 True                   True     982985   \n",
+       "5            True                 True                   True     982985   \n",
+       "6            True                 True                   True     982985   \n",
+       "7            True                 True                   True     982985   \n",
+       "8            True                 True                   True     982985   \n",
+       "9            True                 True                   True     982985   \n",
+       "10          False                False                   True     982985   \n",
+       "11           True                 True                   True     982985   \n",
+       "12          False                 True                   True     982985   \n",
+       "13           True                 True                   True     982985   \n",
+       "14          False                False                   True     982985   \n",
+       "15           True                 True                   True     982985   \n",
+       "16           True                 True                   True     982985   \n",
+       "17           True                 True                   True     982985   \n",
+       "18           True                 True                   True     982985   \n",
+       "19           True                 True                   True     982985   \n",
+       "20           True                 True                   True     982985   \n",
+       "21           True                 True                   True     982985   \n",
+       "22           True                 True                   True     982985   \n",
+       "23           True                 True                   True     982985   \n",
+       "24           True                 True                   True     982985   \n",
+       "25           True                 True                   True     982985   \n",
+       "26           True                 True                   True     982985   \n",
+       "27           True                 True                   True     982985   \n",
+       "28           True                 True                   True     982985   \n",
+       "29           True                 True                   True     982985   \n",
+       "30           True                 True                   True     982985   \n",
+       "31          False                False                   True     982985   \n",
+       "32           True                 True                   True     982985   \n",
+       "33          False                 True                   True     982985   \n",
+       "34           True                 True                   True     982985   \n",
+       "35           True                 True                   True     982985   \n",
+       "36          False                False                   True     982985   \n",
+       "37           True                 True                   True     982985   \n",
+       "38          False                False                   True     982985   \n",
+       "39           True                 True                   True     982985   \n",
+       "40           True                 True                   True     982985   \n",
+       "41           True                 True                   True     982985   \n",
+       "42           True                 True                   True     982985   \n",
+       "43           True                 True                   True     982985   \n",
+       "44           True                 True                   True     982985   \n",
+       "45           True                 True                   True     982985   \n",
+       "46           True                 True                   True     982985   \n",
+       "47           True                 True                   True     982985   \n",
+       "48           True                 True                   True     982985   \n",
+       "49           True                 True                   True     982985   \n",
+       "50          False                False                   True     982985   \n",
+       "51           True                 True                   True     982985   \n",
+       "52           True                 True                   True     982985   \n",
+       "53           True                 True                   True     982985   \n",
+       "54           True                 True                   True     982985   \n",
+       "55           True                 True                   True     982985   \n",
+       "56           True                 True                   True     982985   \n",
+       "57          False                False                   True     982985   \n",
+       "58           True                 True                   True     982985   \n",
+       "59          False                False                   True     982985   \n",
+       "60          False                 True                   True     982985   \n",
+       "61          False                 True                   True     982985   \n",
+       "62           True                 True                   True     982985   \n",
+       "63          False                 True                   True     982985   \n",
+       "64          False                 True                  False     982985   \n",
+       "65          False                 True                  False     982985   \n",
+       "66           True                 True                   True     982985   \n",
+       "67           True                 True                   True     982985   \n",
+       "68           True                 True                   True     982985   \n",
+       "69           True                 True                   True     982985   \n",
+       "70           True                 True                   True     982985   \n",
+       "71           True                 True                   True     982985   \n",
+       "72           True                 True                   True     982985   \n",
+       "\n",
+       "             MJD bandpass   delta_flux  \n",
+       "0   61028.122882        r     7.922391  \n",
+       "1   61028.122882        r    17.903126  \n",
+       "0   61028.122882        r    -0.417352  \n",
+       "1   61028.122882        r  -529.692749  \n",
+       "2   61028.122882        r    17.688076  \n",
+       "3   61028.122882        r     1.449948  \n",
+       "4   61028.122882        r   -72.041725  \n",
+       "5   61028.122882        r     0.474110  \n",
+       "6   61028.122882        r    -0.202717  \n",
+       "7   61028.122882        r    15.859311  \n",
+       "8   61028.122882        r    -0.444933  \n",
+       "9   61028.122882        r  -132.988541  \n",
+       "10  61028.122882        r     0.130878  \n",
+       "11  61028.122882        r    -0.648288  \n",
+       "12  61028.122882        r  -143.654373  \n",
+       "13  61028.122882        r   -10.301233  \n",
+       "14  61028.122882        r    -2.156009  \n",
+       "15  61028.122882        r    17.939392  \n",
+       "16  61028.122882        r    -1.392454  \n",
+       "17  61028.122882        r     0.462488  \n",
+       "18  61028.122882        r     1.024173  \n",
+       "19  61028.122882        r    19.051943  \n",
+       "20  61028.122882        r    -1.381235  \n",
+       "21  61028.122882        r    21.603462  \n",
+       "22  61028.122882        r    22.786961  \n",
+       "23  61028.122882        r    -0.230734  \n",
+       "24  61028.122882        r     0.271971  \n",
+       "25  61028.122882        r   -71.276268  \n",
+       "26  61028.122882        r    -0.190598  \n",
+       "27  61028.122882        r     1.054785  \n",
+       "28  61028.122882        r    -0.249895  \n",
+       "29  61028.122882        r     1.244017  \n",
+       "30  61028.122882        r   304.331726  \n",
+       "31  61028.122882        r     0.031564  \n",
+       "32  61028.122882        r    21.249020  \n",
+       "33  61028.122882        r   -14.479010  \n",
+       "34  61028.122882        r   -22.874243  \n",
+       "35  61028.122882        r    -0.074621  \n",
+       "36  61028.122882        r     0.107577  \n",
+       "37  61028.122882        r     1.996145  \n",
+       "38  61028.122882        r     0.431967  \n",
+       "39  61028.122882        r    -3.985256  \n",
+       "40  61028.122882        r    -5.970113  \n",
+       "41  61028.122882        r    37.739635  \n",
+       "42  61028.122882        r    -0.470866  \n",
+       "43  61028.122882        r    -0.079125  \n",
+       "44  61028.122882        r     1.144773  \n",
+       "45  61028.122882        r    -0.154823  \n",
+       "46  61028.122882        r  -673.622375  \n",
+       "47  61028.122882        r     0.325892  \n",
+       "48  61028.122882        r  1217.174316  \n",
+       "49  61028.122882        r    -3.761985  \n",
+       "50  61028.122882        r    -0.067355  \n",
+       "51  61028.122882        r    55.154003  \n",
+       "52  61028.122882        r    -0.007502  \n",
+       "53  61028.122882        r    -1.853721  \n",
+       "54  61028.122882        r    -5.463296  \n",
+       "55  61028.122882        r    24.183588  \n",
+       "56  61028.122882        r    -0.027428  \n",
+       "57  61028.122882        r     0.026276  \n",
+       "58  61028.122882        r   -10.549919  \n",
+       "59  61028.122882        r     7.746586  \n",
+       "60  61028.122882        r -7207.912109  \n",
+       "61  61028.122882        r    -1.962186  \n",
+       "62  61028.122882        r   183.368652  \n",
+       "63  61028.122882        r -1869.438232  \n",
+       "64  61028.122882        r -1869.438232  \n",
+       "65  61028.122882        r -1869.438232  \n",
+       "66  61028.122882        r    11.366923  \n",
+       "67  61028.122882        r  -115.410141  \n",
+       "68  61028.122882        r   166.295044  \n",
+       "69  61028.122882        r     6.967145  \n",
+       "70  61028.122882        r    -0.209456  \n",
+       "71  61028.122882        r    -0.008144  \n",
+       "72  61028.122882        r     0.418374  "
+      ]
+     },
+     "execution_count": 113,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "collection = sys.argv[1] if len(sys.argv)>1 else 'latest' #pick the latest collection in the butler registry by default\n",
+    "\n",
+    "# Create a lsst butler object\n",
+    "butler = Butler('/repo/apv')\n",
+    "\n",
+    "# The dimensions of the specific image we want to look at\n",
+    "visit = 982985\n",
+    "detector = 164\n",
+    "\n",
+    "\n",
+    "#--- Get the truth file URI (which is right next to the calexp file)\n",
+    "sciFile = butler.getURI('calexp',\n",
+    "                        collections='ap_verify-output',\n",
+    "                        dataId={'instrument': 'LSSTCam-imSim', 'visit': visit, 'detector': detector}).ospath\n",
+    "truthfile = sciFile + '.SNVAR.parq'\n",
+    "print(truthfile)\n",
+    "\n",
+    "truth_all = pd.read_parquet(truthfile, engine='pyarrow')\n",
+    "\n",
+    "truth_all"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 163,
+   "id": "826a4090",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>id</th>\n",
+       "      <th>host_galaxy</th>\n",
+       "      <th>ra</th>\n",
+       "      <th>dec</th>\n",
+       "      <th>redshift</th>\n",
+       "      <th>is_variable</th>\n",
+       "      <th>is_pointsource</th>\n",
+       "      <th>flux_u</th>\n",
+       "      <th>flux_g</th>\n",
+       "      <th>flux_r</th>\n",
+       "      <th>flux_i</th>\n",
+       "      <th>flux_z</th>\n",
+       "      <th>flux_y</th>\n",
+       "      <th>flux_u_noMW</th>\n",
+       "      <th>flux_g_noMW</th>\n",
+       "      <th>flux_r_noMW</th>\n",
+       "      <th>flux_i_noMW</th>\n",
+       "      <th>flux_z_noMW</th>\n",
+       "      <th>flux_y_noMW</th>\n",
+       "      <th>tract</th>\n",
+       "      <th>patch</th>\n",
+       "      <th>truth_type</th>\n",
+       "      <th>cosmodc2_hp</th>\n",
+       "      <th>cosmodc2_id</th>\n",
+       "      <th>mag_r</th>\n",
+       "      <th>match_objectId</th>\n",
+       "      <th>match_sep</th>\n",
+       "      <th>is_good_match</th>\n",
+       "      <th>is_nearest_neighbor</th>\n",
+       "      <th>is_unique_truth_entry</th>\n",
+       "      <th>obsHistID</th>\n",
+       "      <th>MJD</th>\n",
+       "      <th>bandpass</th>\n",
+       "      <th>delta_flux</th>\n",
+       "      <th>x</th>\n",
+       "      <th>y</th>\n",
+       "      <th>mask</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>MS_9300_3652</td>\n",
+       "      <td>4126946327</td>\n",
+       "      <td>55.809744</td>\n",
+       "      <td>-32.332801</td>\n",
+       "      <td>0.945324</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000e+00</td>\n",
+       "      <td>0.000000e+00</td>\n",
+       "      <td>0.000000e+00</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000e+00</td>\n",
+       "      <td>0.000000e+00</td>\n",
+       "      <td>0.000000e+00</td>\n",
+       "      <td>0.000000e+00</td>\n",
+       "      <td>4431</td>\n",
+       "      <td>9</td>\n",
+       "      <td>3</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>inf</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>-1.000000</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>61028.122882</td>\n",
+       "      <td>r</td>\n",
+       "      <td>7.922391</td>\n",
+       "      <td>1836.168943</td>\n",
+       "      <td>1786.292517</td>\n",
+       "      <td>32</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>MS_9300_4184</td>\n",
+       "      <td>4127142911</td>\n",
+       "      <td>55.933019</td>\n",
+       "      <td>-32.284723</td>\n",
+       "      <td>0.973225</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000e+00</td>\n",
+       "      <td>0.000000e+00</td>\n",
+       "      <td>0.000000e+00</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000e+00</td>\n",
+       "      <td>0.000000e+00</td>\n",
+       "      <td>0.000000e+00</td>\n",
+       "      <td>0.000000e+00</td>\n",
+       "      <td>4431</td>\n",
+       "      <td>16</td>\n",
+       "      <td>3</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>inf</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>-1.000000</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>61028.122882</td>\n",
+       "      <td>r</td>\n",
+       "      <td>17.903126</td>\n",
+       "      <td>3608.015876</td>\n",
+       "      <td>721.816330</td>\n",
+       "      <td>32</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>31411429981</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>55.820381</td>\n",
+       "      <td>-32.364658</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2.310072</td>\n",
+       "      <td>20.113888</td>\n",
+       "      <td>56.057739</td>\n",
+       "      <td>8.733038e+01</td>\n",
+       "      <td>1.068484e+02</td>\n",
+       "      <td>1.197150e+02</td>\n",
+       "      <td>2.390107</td>\n",
+       "      <td>20.629416</td>\n",
+       "      <td>5.714767e+01</td>\n",
+       "      <td>8.863153e+01</td>\n",
+       "      <td>1.080729e+02</td>\n",
+       "      <td>1.208527e+02</td>\n",
+       "      <td>4431</td>\n",
+       "      <td>9</td>\n",
+       "      <td>2</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>27.028410</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>-1.000000</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>61028.122882</td>\n",
+       "      <td>r</td>\n",
+       "      <td>-0.417352</td>\n",
+       "      <td>2059.019139</td>\n",
+       "      <td>2339.377328</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>31107745011</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>55.815901</td>\n",
+       "      <td>-32.372821</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>3636.093994</td>\n",
+       "      <td>30671.835938</td>\n",
+       "      <td>93393.062500</td>\n",
+       "      <td>1.561495e+05</td>\n",
+       "      <td>1.994355e+05</td>\n",
+       "      <td>2.274639e+05</td>\n",
+       "      <td>3763.048096</td>\n",
+       "      <td>31463.066406</td>\n",
+       "      <td>9.522001e+04</td>\n",
+       "      <td>1.584920e+05</td>\n",
+       "      <td>2.017389e+05</td>\n",
+       "      <td>2.296427e+05</td>\n",
+       "      <td>4431</td>\n",
+       "      <td>9</td>\n",
+       "      <td>2</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>18.974213</td>\n",
+       "      <td>19488023263616405</td>\n",
+       "      <td>0.005030</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>61028.122882</td>\n",
+       "      <td>r</td>\n",
+       "      <td>-529.692749</td>\n",
+       "      <td>2007.168215</td>\n",
+       "      <td>2493.043168</td>\n",
+       "      <td>32</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>31411429992</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>55.808551</td>\n",
+       "      <td>-32.365349</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>13.605010</td>\n",
+       "      <td>106.517334</td>\n",
+       "      <td>291.346863</td>\n",
+       "      <td>4.534999e+02</td>\n",
+       "      <td>5.554426e+02</td>\n",
+       "      <td>6.201711e+02</td>\n",
+       "      <td>14.089564</td>\n",
+       "      <td>109.329041</td>\n",
+       "      <td>2.971701e+02</td>\n",
+       "      <td>4.604453e+02</td>\n",
+       "      <td>5.619857e+02</td>\n",
+       "      <td>6.262289e+02</td>\n",
+       "      <td>4431</td>\n",
+       "      <td>9</td>\n",
+       "      <td>2</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>25.238974</td>\n",
+       "      <td>19488023263584596</td>\n",
+       "      <td>0.017922</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>61028.122882</td>\n",
+       "      <td>r</td>\n",
+       "      <td>17.688076</td>\n",
+       "      <td>1881.492080</td>\n",
+       "      <td>2371.355936</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>31405687653</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>55.769400</td>\n",
+       "      <td>-32.385121</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>321.084656</td>\n",
+       "      <td>1358.970947</td>\n",
+       "      <td>2467.447998</td>\n",
+       "      <td>3.095575e+03</td>\n",
+       "      <td>3.397009e+03</td>\n",
+       "      <td>3.610074e+03</td>\n",
+       "      <td>332.723846</td>\n",
+       "      <td>1395.917969</td>\n",
+       "      <td>2.517652e+03</td>\n",
+       "      <td>3.143679e+03</td>\n",
+       "      <td>3.437509e+03</td>\n",
+       "      <td>3.645750e+03</td>\n",
+       "      <td>4431</td>\n",
+       "      <td>10</td>\n",
+       "      <td>2</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>22.919380</td>\n",
+       "      <td>19488160702569925</td>\n",
+       "      <td>0.012625</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>61028.122882</td>\n",
+       "      <td>r</td>\n",
+       "      <td>1.449948</td>\n",
+       "      <td>1328.094816</td>\n",
+       "      <td>2790.628694</td>\n",
+       "      <td>32</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>31411430598</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>55.784715</td>\n",
+       "      <td>-32.371861</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>15260.922852</td>\n",
+       "      <td>35802.816406</td>\n",
+       "      <td>48942.753906</td>\n",
+       "      <td>5.485975e+04</td>\n",
+       "      <td>5.661934e+04</td>\n",
+       "      <td>5.711891e+04</td>\n",
+       "      <td>15810.935547</td>\n",
+       "      <td>36788.800781</td>\n",
+       "      <td>4.993746e+04</td>\n",
+       "      <td>5.571016e+04</td>\n",
+       "      <td>5.729187e+04</td>\n",
+       "      <td>5.768116e+04</td>\n",
+       "      <td>4431</td>\n",
+       "      <td>9</td>\n",
+       "      <td>2</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>19.675779</td>\n",
+       "      <td>19488023263616515</td>\n",
+       "      <td>0.003004</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>61028.122882</td>\n",
+       "      <td>r</td>\n",
+       "      <td>-72.041725</td>\n",
+       "      <td>1533.766505</td>\n",
+       "      <td>2527.586751</td>\n",
+       "      <td>32</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5</th>\n",
+       "      <td>31411431584</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>55.694891</td>\n",
+       "      <td>-32.385083</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>28.379381</td>\n",
+       "      <td>226.587006</td>\n",
+       "      <td>678.250854</td>\n",
+       "      <td>1.134425e+03</td>\n",
+       "      <td>1.456302e+03</td>\n",
+       "      <td>1.671033e+03</td>\n",
+       "      <td>29.471909</td>\n",
+       "      <td>233.031006</td>\n",
+       "      <td>6.928635e+02</td>\n",
+       "      <td>1.153159e+03</td>\n",
+       "      <td>1.474815e+03</td>\n",
+       "      <td>1.688649e+03</td>\n",
+       "      <td>4431</td>\n",
+       "      <td>10</td>\n",
+       "      <td>2</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>24.321526</td>\n",
+       "      <td>19488160702569673</td>\n",
+       "      <td>0.054073</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>61028.122882</td>\n",
+       "      <td>r</td>\n",
+       "      <td>0.474110</td>\n",
+       "      <td>201.592933</td>\n",
+       "      <td>2914.339264</td>\n",
+       "      <td>32</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>6</th>\n",
+       "      <td>31405685097</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>55.698054</td>\n",
+       "      <td>-32.367778</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>4.323857</td>\n",
+       "      <td>34.259571</td>\n",
+       "      <td>101.540794</td>\n",
+       "      <td>1.682722e+02</td>\n",
+       "      <td>2.144816e+02</td>\n",
+       "      <td>2.447493e+02</td>\n",
+       "      <td>4.486736</td>\n",
+       "      <td>35.213562</td>\n",
+       "      <td>1.036824e+02</td>\n",
+       "      <td>1.709927e+02</td>\n",
+       "      <td>2.171506e+02</td>\n",
+       "      <td>2.472750e+02</td>\n",
+       "      <td>4431</td>\n",
+       "      <td>10</td>\n",
+       "      <td>2</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>26.383398</td>\n",
+       "      <td>19488160702537820</td>\n",
+       "      <td>0.065193</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>61028.122882</td>\n",
+       "      <td>r</td>\n",
+       "      <td>-0.202717</td>\n",
+       "      <td>215.423998</td>\n",
+       "      <td>2599.018975</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>7</th>\n",
+       "      <td>31411429963</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>55.709906</td>\n",
+       "      <td>-32.370149</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1610.342896</td>\n",
+       "      <td>10002.177734</td>\n",
+       "      <td>21584.724609</td>\n",
+       "      <td>2.929542e+04</td>\n",
+       "      <td>3.327904e+04</td>\n",
+       "      <td>3.600256e+04</td>\n",
+       "      <td>1670.990479</td>\n",
+       "      <td>10283.201172</td>\n",
+       "      <td>2.204137e+04</td>\n",
+       "      <td>2.976937e+04</td>\n",
+       "      <td>3.369241e+04</td>\n",
+       "      <td>3.637329e+04</td>\n",
+       "      <td>4431</td>\n",
+       "      <td>10</td>\n",
+       "      <td>2</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>20.564634</td>\n",
+       "      <td>19488160702570912</td>\n",
+       "      <td>0.001382</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>61028.122882</td>\n",
+       "      <td>r</td>\n",
+       "      <td>15.859311</td>\n",
+       "      <td>399.300981</td>\n",
+       "      <td>2621.664320</td>\n",
+       "      <td>32</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8</th>\n",
+       "      <td>31405695056</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>55.752186</td>\n",
+       "      <td>-32.444417</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>20.087885</td>\n",
+       "      <td>159.634460</td>\n",
+       "      <td>486.893951</td>\n",
+       "      <td>8.298591e+02</td>\n",
+       "      <td>1.079333e+03</td>\n",
+       "      <td>1.247763e+03</td>\n",
+       "      <td>20.856276</td>\n",
+       "      <td>164.141632</td>\n",
+       "      <td>4.973089e+02</td>\n",
+       "      <td>8.434660e+02</td>\n",
+       "      <td>1.092960e+03</td>\n",
+       "      <td>1.260828e+03</td>\n",
+       "      <td>4431</td>\n",
+       "      <td>10</td>\n",
+       "      <td>2</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>24.681414</td>\n",
+       "      <td>19488160702564714</td>\n",
+       "      <td>0.011670</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>61028.122882</td>\n",
+       "      <td>r</td>\n",
+       "      <td>-0.444933</td>\n",
+       "      <td>1183.747340</td>\n",
+       "      <td>3881.727116</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>9</th>\n",
+       "      <td>31303591512</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>55.734631</td>\n",
+       "      <td>-32.405041</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1493.161377</td>\n",
+       "      <td>11558.089844</td>\n",
+       "      <td>27362.058594</td>\n",
+       "      <td>3.862286e+04</td>\n",
+       "      <td>4.483291e+04</td>\n",
+       "      <td>4.926749e+04</td>\n",
+       "      <td>1549.979370</td>\n",
+       "      <td>11884.512695</td>\n",
+       "      <td>2.794624e+04</td>\n",
+       "      <td>3.925377e+04</td>\n",
+       "      <td>4.539539e+04</td>\n",
+       "      <td>4.977998e+04</td>\n",
+       "      <td>4431</td>\n",
+       "      <td>10</td>\n",
+       "      <td>2</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>20.307129</td>\n",
+       "      <td>19488160702536196</td>\n",
+       "      <td>0.000902</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>61028.122882</td>\n",
+       "      <td>r</td>\n",
+       "      <td>-132.988541</td>\n",
+       "      <td>841.449452</td>\n",
+       "      <td>3205.470441</td>\n",
+       "      <td>32</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>10</th>\n",
+       "      <td>31405688188</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>55.737764</td>\n",
+       "      <td>-32.390812</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2.855799</td>\n",
+       "      <td>22.800966</td>\n",
+       "      <td>63.334991</td>\n",
+       "      <td>9.960946e+01</td>\n",
+       "      <td>1.231738e+02</td>\n",
+       "      <td>1.384741e+02</td>\n",
+       "      <td>2.962494</td>\n",
+       "      <td>23.431360</td>\n",
+       "      <td>6.466182e+01</td>\n",
+       "      <td>1.012082e+02</td>\n",
+       "      <td>1.246945e+02</td>\n",
+       "      <td>1.398916e+02</td>\n",
+       "      <td>4431</td>\n",
+       "      <td>10</td>\n",
+       "      <td>2</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>26.895889</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>-1.000000</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>61028.122882</td>\n",
+       "      <td>r</td>\n",
+       "      <td>0.130878</td>\n",
+       "      <td>860.960608</td>\n",
+       "      <td>2945.298546</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>11</th>\n",
+       "      <td>31500338795</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>55.766827</td>\n",
+       "      <td>-32.392674</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>7.660849</td>\n",
+       "      <td>59.740383</td>\n",
+       "      <td>174.419342</td>\n",
+       "      <td>2.862502e+02</td>\n",
+       "      <td>3.629403e+02</td>\n",
+       "      <td>4.130834e+02</td>\n",
+       "      <td>7.939463</td>\n",
+       "      <td>61.347252</td>\n",
+       "      <td>1.779727e+02</td>\n",
+       "      <td>2.907202e+02</td>\n",
+       "      <td>3.673026e+02</td>\n",
+       "      <td>4.172007e+02</td>\n",
+       "      <td>4431</td>\n",
+       "      <td>10</td>\n",
+       "      <td>2</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>25.796013</td>\n",
+       "      <td>19488160702536733</td>\n",
+       "      <td>0.027959</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>61028.122882</td>\n",
+       "      <td>r</td>\n",
+       "      <td>-0.648288</td>\n",
+       "      <td>1303.953075</td>\n",
+       "      <td>2930.229952</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>13</th>\n",
+       "      <td>31107745884</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>55.685606</td>\n",
+       "      <td>-32.420192</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>3100.957031</td>\n",
+       "      <td>20908.390625</td>\n",
+       "      <td>46725.500000</td>\n",
+       "      <td>6.436393e+04</td>\n",
+       "      <td>7.371798e+04</td>\n",
+       "      <td>8.022395e+04</td>\n",
+       "      <td>3223.948486</td>\n",
+       "      <td>21525.703125</td>\n",
+       "      <td>4.776568e+04</td>\n",
+       "      <td>6.545972e+04</td>\n",
+       "      <td>7.468162e+04</td>\n",
+       "      <td>8.109330e+04</td>\n",
+       "      <td>4431</td>\n",
+       "      <td>10</td>\n",
+       "      <td>2</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>19.726116</td>\n",
+       "      <td>19488160702566987</td>\n",
+       "      <td>0.002003</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>61028.122882</td>\n",
+       "      <td>r</td>\n",
+       "      <td>-10.301233</td>\n",
+       "      <td>130.185811</td>\n",
+       "      <td>3558.946164</td>\n",
+       "      <td>32</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>14</th>\n",
+       "      <td>31411431456</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>55.846529</td>\n",
+       "      <td>-32.376424</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>31.994078</td>\n",
+       "      <td>242.885544</td>\n",
+       "      <td>653.423462</td>\n",
+       "      <td>1.008914e+03</td>\n",
+       "      <td>1.230678e+03</td>\n",
+       "      <td>1.370760e+03</td>\n",
+       "      <td>33.102448</td>\n",
+       "      <td>249.126968</td>\n",
+       "      <td>6.661313e+02</td>\n",
+       "      <td>1.023948e+03</td>\n",
+       "      <td>1.244783e+03</td>\n",
+       "      <td>1.383787e+03</td>\n",
+       "      <td>4431</td>\n",
+       "      <td>9</td>\n",
+       "      <td>2</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>24.362013</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>-1.000000</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>61028.122882</td>\n",
+       "      <td>r</td>\n",
+       "      <td>-2.156009</td>\n",
+       "      <td>2477.230728</td>\n",
+       "      <td>2506.907568</td>\n",
+       "      <td>32</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>15</th>\n",
+       "      <td>31405689453</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>55.861416</td>\n",
+       "      <td>-32.394664</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>8630.159180</td>\n",
+       "      <td>17930.673828</td>\n",
+       "      <td>22370.490234</td>\n",
+       "      <td>2.396540e+04</td>\n",
+       "      <td>2.412536e+04</td>\n",
+       "      <td>2.397641e+04</td>\n",
+       "      <td>8922.796875</td>\n",
+       "      <td>18397.306641</td>\n",
+       "      <td>2.279894e+04</td>\n",
+       "      <td>2.431535e+04</td>\n",
+       "      <td>2.439516e+04</td>\n",
+       "      <td>2.419864e+04</td>\n",
+       "      <td>4431</td>\n",
+       "      <td>9</td>\n",
+       "      <td>2</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>20.525810</td>\n",
+       "      <td>19488023263614092</td>\n",
+       "      <td>0.001680</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>61028.122882</td>\n",
+       "      <td>r</td>\n",
+       "      <td>17.939392</td>\n",
+       "      <td>2737.667328</td>\n",
+       "      <td>2809.136227</td>\n",
+       "      <td>32</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>16</th>\n",
+       "      <td>31411433079</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>55.862970</td>\n",
+       "      <td>-32.390615</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>11.172137</td>\n",
+       "      <td>87.426613</td>\n",
+       "      <td>239.047318</td>\n",
+       "      <td>3.719982e+02</td>\n",
+       "      <td>4.555325e+02</td>\n",
+       "      <td>5.085623e+02</td>\n",
+       "      <td>11.547754</td>\n",
+       "      <td>89.605675</td>\n",
+       "      <td>2.435595e+02</td>\n",
+       "      <td>3.773792e+02</td>\n",
+       "      <td>4.606014e+02</td>\n",
+       "      <td>5.132549e+02</td>\n",
+       "      <td>4431</td>\n",
+       "      <td>9</td>\n",
+       "      <td>2</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>25.453789</td>\n",
+       "      <td>19488023263614853</td>\n",
+       "      <td>0.015480</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>61028.122882</td>\n",
+       "      <td>r</td>\n",
+       "      <td>-1.392454</td>\n",
+       "      <td>2753.302497</td>\n",
+       "      <td>2734.020014</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>17</th>\n",
+       "      <td>31411435238</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>55.927944</td>\n",
+       "      <td>-32.409212</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>18.554678</td>\n",
+       "      <td>142.760376</td>\n",
+       "      <td>357.760254</td>\n",
+       "      <td>5.246328e+02</td>\n",
+       "      <td>6.218842e+02</td>\n",
+       "      <td>6.865504e+02</td>\n",
+       "      <td>19.138159</td>\n",
+       "      <td>146.093140</td>\n",
+       "      <td>3.640820e+02</td>\n",
+       "      <td>5.317321e+02</td>\n",
+       "      <td>6.283535e+02</td>\n",
+       "      <td>6.924729e+02</td>\n",
+       "      <td>4431</td>\n",
+       "      <td>9</td>\n",
+       "      <td>2</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>25.016020</td>\n",
+       "      <td>19488023263582519</td>\n",
+       "      <td>0.081374</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>61028.122882</td>\n",
+       "      <td>r</td>\n",
+       "      <td>0.462488</td>\n",
+       "      <td>3771.350815</td>\n",
+       "      <td>2960.366859</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>18</th>\n",
+       "      <td>31405690039</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>55.932181</td>\n",
+       "      <td>-32.396247</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>195.810364</td>\n",
+       "      <td>787.476257</td>\n",
+       "      <td>1401.214355</td>\n",
+       "      <td>1.757307e+03</td>\n",
+       "      <td>1.922564e+03</td>\n",
+       "      <td>2.024145e+03</td>\n",
+       "      <td>201.979218</td>\n",
+       "      <td>806.189575</td>\n",
+       "      <td>1.426088e+03</td>\n",
+       "      <td>1.781142e+03</td>\n",
+       "      <td>1.942575e+03</td>\n",
+       "      <td>2.041610e+03</td>\n",
+       "      <td>4431</td>\n",
+       "      <td>9</td>\n",
+       "      <td>2</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>23.533737</td>\n",
+       "      <td>19488023263614318</td>\n",
+       "      <td>0.019977</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>61028.122882</td>\n",
+       "      <td>r</td>\n",
+       "      <td>1.024173</td>\n",
+       "      <td>3810.391631</td>\n",
+       "      <td>2721.115737</td>\n",
+       "      <td>32</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>19</th>\n",
+       "      <td>31411435379</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>55.879466</td>\n",
+       "      <td>-32.412980</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>4983.581543</td>\n",
+       "      <td>14444.914062</td>\n",
+       "      <td>22494.914062</td>\n",
+       "      <td>2.642928e+04</td>\n",
+       "      <td>2.787818e+04</td>\n",
+       "      <td>2.869732e+04</td>\n",
+       "      <td>5150.277832</td>\n",
+       "      <td>14810.434570</td>\n",
+       "      <td>2.291796e+04</td>\n",
+       "      <td>2.680867e+04</td>\n",
+       "      <td>2.818507e+04</td>\n",
+       "      <td>2.895912e+04</td>\n",
+       "      <td>4431</td>\n",
+       "      <td>9</td>\n",
+       "      <td>2</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>20.519789</td>\n",
+       "      <td>19488023263612775</td>\n",
+       "      <td>0.001563</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>61028.122882</td>\n",
+       "      <td>r</td>\n",
+       "      <td>19.051943</td>\n",
+       "      <td>3045.962144</td>\n",
+       "      <td>3107.555202</td>\n",
+       "      <td>32</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>20</th>\n",
+       "      <td>31405689834</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>55.890474</td>\n",
+       "      <td>-32.396386</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>210.913818</td>\n",
+       "      <td>1630.707642</td>\n",
+       "      <td>3857.261475</td>\n",
+       "      <td>5.441409e+03</td>\n",
+       "      <td>6.313410e+03</td>\n",
+       "      <td>6.936081e+03</td>\n",
+       "      <td>217.934464</td>\n",
+       "      <td>1671.018921</td>\n",
+       "      <td>3.929375e+03</td>\n",
+       "      <td>5.519267e+03</td>\n",
+       "      <td>6.382808e+03</td>\n",
+       "      <td>6.999302e+03</td>\n",
+       "      <td>4431</td>\n",
+       "      <td>9</td>\n",
+       "      <td>2</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>22.434301</td>\n",
+       "      <td>19488023263614214</td>\n",
+       "      <td>0.004244</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>61028.122882</td>\n",
+       "      <td>r</td>\n",
+       "      <td>-1.381235</td>\n",
+       "      <td>3180.235622</td>\n",
+       "      <td>2792.104254</td>\n",
+       "      <td>32</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>21</th>\n",
+       "      <td>31405689317</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>55.915417</td>\n",
+       "      <td>-32.390858</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>39.695847</td>\n",
+       "      <td>328.605011</td>\n",
+       "      <td>983.438721</td>\n",
+       "      <td>1.626886e+03</td>\n",
+       "      <td>2.065896e+03</td>\n",
+       "      <td>2.349544e+03</td>\n",
+       "      <td>40.972355</td>\n",
+       "      <td>336.418915</td>\n",
+       "      <td>1.001172e+03</td>\n",
+       "      <td>1.649384e+03</td>\n",
+       "      <td>2.087891e+03</td>\n",
+       "      <td>2.370291e+03</td>\n",
+       "      <td>4431</td>\n",
+       "      <td>9</td>\n",
+       "      <td>2</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>23.918133</td>\n",
+       "      <td>19488023263614717</td>\n",
+       "      <td>0.027648</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>61028.122882</td>\n",
+       "      <td>r</td>\n",
+       "      <td>21.603462</td>\n",
+       "      <td>3546.592972</td>\n",
+       "      <td>2652.067336</td>\n",
+       "      <td>32</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>22</th>\n",
+       "      <td>31405687067</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>55.843104</td>\n",
+       "      <td>-32.376660</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1514.853516</td>\n",
+       "      <td>3560.597168</td>\n",
+       "      <td>4907.236816</td>\n",
+       "      <td>5.493993e+03</td>\n",
+       "      <td>5.646328e+03</td>\n",
+       "      <td>5.690145e+03</td>\n",
+       "      <td>1567.217407</td>\n",
+       "      <td>3654.480225</td>\n",
+       "      <td>5.002811e+03</td>\n",
+       "      <td>5.575616e+03</td>\n",
+       "      <td>5.710615e+03</td>\n",
+       "      <td>5.743831e+03</td>\n",
+       "      <td>4431</td>\n",
+       "      <td>9</td>\n",
+       "      <td>2</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>22.172907</td>\n",
+       "      <td>19488023263615824</td>\n",
+       "      <td>0.001346</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>61028.122882</td>\n",
+       "      <td>r</td>\n",
+       "      <td>22.786961</td>\n",
+       "      <td>2425.904769</td>\n",
+       "      <td>2516.792436</td>\n",
+       "      <td>32</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>23</th>\n",
+       "      <td>31411433059</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>55.845564</td>\n",
+       "      <td>-32.391282</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>5.132287</td>\n",
+       "      <td>39.519112</td>\n",
+       "      <td>99.090645</td>\n",
+       "      <td>1.453693e+02</td>\n",
+       "      <td>1.723696e+02</td>\n",
+       "      <td>1.903268e+02</td>\n",
+       "      <td>5.310069</td>\n",
+       "      <td>40.534969</td>\n",
+       "      <td>1.010181e+02</td>\n",
+       "      <td>1.475343e+02</td>\n",
+       "      <td>1.743428e+02</td>\n",
+       "      <td>1.921334e+02</td>\n",
+       "      <td>4431</td>\n",
+       "      <td>9</td>\n",
+       "      <td>2</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>26.409920</td>\n",
+       "      <td>19488023263614736</td>\n",
+       "      <td>0.038123</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>61028.122882</td>\n",
+       "      <td>r</td>\n",
+       "      <td>-0.230734</td>\n",
+       "      <td>2491.486404</td>\n",
+       "      <td>2774.709680</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>24</th>\n",
+       "      <td>31411433171</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>55.837128</td>\n",
+       "      <td>-32.392919</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>22.568253</td>\n",
+       "      <td>147.897232</td>\n",
+       "      <td>326.451355</td>\n",
+       "      <td>4.472291e+02</td>\n",
+       "      <td>5.106219e+02</td>\n",
+       "      <td>5.544650e+02</td>\n",
+       "      <td>23.356764</td>\n",
+       "      <td>151.748581</td>\n",
+       "      <td>3.328605e+02</td>\n",
+       "      <td>4.539456e+02</td>\n",
+       "      <td>5.165110e+02</td>\n",
+       "      <td>5.597668e+02</td>\n",
+       "      <td>4431</td>\n",
+       "      <td>9</td>\n",
+       "      <td>2</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>25.115454</td>\n",
+       "      <td>19488023263614621</td>\n",
+       "      <td>0.075458</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>61028.122882</td>\n",
+       "      <td>r</td>\n",
+       "      <td>0.271971</td>\n",
+       "      <td>2367.139060</td>\n",
+       "      <td>2817.979317</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>25</th>\n",
+       "      <td>31411437889</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>55.810828</td>\n",
+       "      <td>-32.439987</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>41967.523438</td>\n",
+       "      <td>89523.421875</td>\n",
+       "      <td>118290.523438</td>\n",
+       "      <td>1.307665e+05</td>\n",
+       "      <td>1.338773e+05</td>\n",
+       "      <td>1.341264e+05</td>\n",
+       "      <td>43481.671875</td>\n",
+       "      <td>91993.132812</td>\n",
+       "      <td>1.206956e+05</td>\n",
+       "      <td>1.327940e+05</td>\n",
+       "      <td>1.354678e+05</td>\n",
+       "      <td>1.354467e+05</td>\n",
+       "      <td>4431</td>\n",
+       "      <td>9</td>\n",
+       "      <td>2</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>18.717625</td>\n",
+       "      <td>19488023263610338</td>\n",
+       "      <td>0.001792</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>61028.122882</td>\n",
+       "      <td>r</td>\n",
+       "      <td>-71.276268</td>\n",
+       "      <td>2061.147788</td>\n",
+       "      <td>3704.881138</td>\n",
+       "      <td>32</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>26</th>\n",
+       "      <td>31411437836</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>55.802368</td>\n",
+       "      <td>-32.439891</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>14.864845</td>\n",
+       "      <td>98.164810</td>\n",
+       "      <td>228.989349</td>\n",
+       "      <td>3.254244e+02</td>\n",
+       "      <td>3.794148e+02</td>\n",
+       "      <td>4.143253e+02</td>\n",
+       "      <td>15.410313</td>\n",
+       "      <td>100.846901</td>\n",
+       "      <td>2.337093e+02</td>\n",
+       "      <td>3.305572e+02</td>\n",
+       "      <td>3.840125e+02</td>\n",
+       "      <td>4.184878e+02</td>\n",
+       "      <td>4431</td>\n",
+       "      <td>9</td>\n",
+       "      <td>2</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>25.500462</td>\n",
+       "      <td>19488023263610223</td>\n",
+       "      <td>0.064217</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>61028.122882</td>\n",
+       "      <td>r</td>\n",
+       "      <td>-0.190598</td>\n",
+       "      <td>1933.132354</td>\n",
+       "      <td>3717.192009</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>27</th>\n",
+       "      <td>31411439894</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>55.908861</td>\n",
+       "      <td>-32.453742</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>119.679604</td>\n",
+       "      <td>436.977325</td>\n",
+       "      <td>724.354309</td>\n",
+       "      <td>8.718572e+02</td>\n",
+       "      <td>9.313407e+02</td>\n",
+       "      <td>9.702585e+02</td>\n",
+       "      <td>123.497902</td>\n",
+       "      <td>447.513275</td>\n",
+       "      <td>7.373729e+02</td>\n",
+       "      <td>8.838237e+02</td>\n",
+       "      <td>9.411454e+02</td>\n",
+       "      <td>9.787255e+02</td>\n",
+       "      <td>4431</td>\n",
+       "      <td>9</td>\n",
+       "      <td>2</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>24.250124</td>\n",
+       "      <td>19488023263609197</td>\n",
+       "      <td>0.022966</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>61028.122882</td>\n",
+       "      <td>r</td>\n",
+       "      <td>1.054785</td>\n",
+       "      <td>3568.892027</td>\n",
+       "      <td>3789.630046</td>\n",
+       "      <td>32</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>28</th>\n",
+       "      <td>31500343398</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>55.890708</td>\n",
+       "      <td>-32.457614</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>11.438114</td>\n",
+       "      <td>90.940865</td>\n",
+       "      <td>217.606979</td>\n",
+       "      <td>3.084898e+02</td>\n",
+       "      <td>3.588933e+02</td>\n",
+       "      <td>3.950652e+02</td>\n",
+       "      <td>11.813221</td>\n",
+       "      <td>93.154434</td>\n",
+       "      <td>2.216149e+02</td>\n",
+       "      <td>3.128388e+02</td>\n",
+       "      <td>3.627805e+02</td>\n",
+       "      <td>3.986135e+02</td>\n",
+       "      <td>4431</td>\n",
+       "      <td>9</td>\n",
+       "      <td>2</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>25.555819</td>\n",
+       "      <td>19488023263608961</td>\n",
+       "      <td>0.130993</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>61028.122882</td>\n",
+       "      <td>r</td>\n",
+       "      <td>-0.249895</td>\n",
+       "      <td>3302.135334</td>\n",
+       "      <td>3888.867216</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>29</th>\n",
+       "      <td>31411438984</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>55.896820</td>\n",
+       "      <td>-32.445671</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>61.259678</td>\n",
+       "      <td>494.198883</td>\n",
+       "      <td>1373.330688</td>\n",
+       "      <td>2.153890e+03</td>\n",
+       "      <td>2.647792e+03</td>\n",
+       "      <td>2.962875e+03</td>\n",
+       "      <td>63.236725</td>\n",
+       "      <td>506.016541</td>\n",
+       "      <td>1.398218e+03</td>\n",
+       "      <td>2.183808e+03</td>\n",
+       "      <td>2.676088e+03</td>\n",
+       "      <td>2.989133e+03</td>\n",
+       "      <td>4431</td>\n",
+       "      <td>9</td>\n",
+       "      <td>2</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>23.555563</td>\n",
+       "      <td>19488023263609726</td>\n",
+       "      <td>0.003967</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>61028.122882</td>\n",
+       "      <td>r</td>\n",
+       "      <td>1.244017</td>\n",
+       "      <td>3371.402442</td>\n",
+       "      <td>3664.789396</td>\n",
+       "      <td>32</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>30</th>\n",
+       "      <td>31405691981</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>55.838388</td>\n",
+       "      <td>-32.416365</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>35513.410156</td>\n",
+       "      <td>99528.734375</td>\n",
+       "      <td>151415.000000</td>\n",
+       "      <td>1.798811e+05</td>\n",
+       "      <td>1.930506e+05</td>\n",
+       "      <td>1.986065e+05</td>\n",
+       "      <td>36748.953125</td>\n",
+       "      <td>102168.703125</td>\n",
+       "      <td>1.543901e+05</td>\n",
+       "      <td>1.825789e+05</td>\n",
+       "      <td>1.952705e+05</td>\n",
+       "      <td>2.004996e+05</td>\n",
+       "      <td>4431</td>\n",
+       "      <td>9</td>\n",
+       "      <td>2</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>18.449577</td>\n",
+       "      <td>19488023263612141</td>\n",
+       "      <td>0.000878</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>61028.122882</td>\n",
+       "      <td>r</td>\n",
+       "      <td>304.331726</td>\n",
+       "      <td>2431.705570</td>\n",
+       "      <td>3236.002133</td>\n",
+       "      <td>32</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>31</th>\n",
+       "      <td>31500341979</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>55.822515</td>\n",
+       "      <td>-32.439874</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>4.163986</td>\n",
+       "      <td>35.771961</td>\n",
+       "      <td>102.789299</td>\n",
+       "      <td>1.638835e+02</td>\n",
+       "      <td>2.031530e+02</td>\n",
+       "      <td>2.284623e+02</td>\n",
+       "      <td>4.311286</td>\n",
+       "      <td>36.707893</td>\n",
+       "      <td>1.048291e+02</td>\n",
+       "      <td>1.663763e+02</td>\n",
+       "      <td>2.055306e+02</td>\n",
+       "      <td>2.306795e+02</td>\n",
+       "      <td>4431</td>\n",
+       "      <td>9</td>\n",
+       "      <td>2</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>26.370129</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>-1.000000</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>61028.122882</td>\n",
+       "      <td>r</td>\n",
+       "      <td>0.031564</td>\n",
+       "      <td>2237.510325</td>\n",
+       "      <td>3683.511102</td>\n",
+       "      <td>32</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>32</th>\n",
+       "      <td>31405677272</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>55.728531</td>\n",
+       "      <td>-32.302963</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1615.538940</td>\n",
+       "      <td>5026.174805</td>\n",
+       "      <td>7790.952148</td>\n",
+       "      <td>9.121348e+03</td>\n",
+       "      <td>9.601045e+03</td>\n",
+       "      <td>9.886889e+03</td>\n",
+       "      <td>1669.845337</td>\n",
+       "      <td>5154.297363</td>\n",
+       "      <td>7.938493e+03</td>\n",
+       "      <td>9.253201e+03</td>\n",
+       "      <td>9.707457e+03</td>\n",
+       "      <td>9.977709e+03</td>\n",
+       "      <td>4431</td>\n",
+       "      <td>17</td>\n",
+       "      <td>2</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>21.671024</td>\n",
+       "      <td>19488164997524412</td>\n",
+       "      <td>0.003816</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>61028.122882</td>\n",
+       "      <td>r</td>\n",
+       "      <td>21.249020</td>\n",
+       "      <td>549.276467</td>\n",
+       "      <td>1386.985556</td>\n",
+       "      <td>32</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>33</th>\n",
+       "      <td>31411422848</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>55.755820</td>\n",
+       "      <td>-32.298574</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>150.229324</td>\n",
+       "      <td>1151.415039</td>\n",
+       "      <td>3012.745361</td>\n",
+       "      <td>4.556335e+03</td>\n",
+       "      <td>5.492216e+03</td>\n",
+       "      <td>6.095685e+03</td>\n",
+       "      <td>155.378738</td>\n",
+       "      <td>1180.695557</td>\n",
+       "      <td>3.070735e+03</td>\n",
+       "      <td>4.623513e+03</td>\n",
+       "      <td>5.554483e+03</td>\n",
+       "      <td>6.152989e+03</td>\n",
+       "      <td>4431</td>\n",
+       "      <td>17</td>\n",
+       "      <td>2</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>22.702595</td>\n",
+       "      <td>19488164997525140</td>\n",
+       "      <td>0.174717</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>61028.122882</td>\n",
+       "      <td>r</td>\n",
+       "      <td>-14.479010</td>\n",
+       "      <td>953.581708</td>\n",
+       "      <td>1262.827125</td>\n",
+       "      <td>1056</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>34</th>\n",
+       "      <td>31405684392</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>55.739303</td>\n",
+       "      <td>-32.360498</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>206.706100</td>\n",
+       "      <td>787.645874</td>\n",
+       "      <td>1357.689331</td>\n",
+       "      <td>1.678637e+03</td>\n",
+       "      <td>1.823917e+03</td>\n",
+       "      <td>1.910985e+03</td>\n",
+       "      <td>214.213287</td>\n",
+       "      <td>809.255859</td>\n",
+       "      <td>1.385463e+03</td>\n",
+       "      <td>1.704860e+03</td>\n",
+       "      <td>1.845774e+03</td>\n",
+       "      <td>1.929966e+03</td>\n",
+       "      <td>4431</td>\n",
+       "      <td>10</td>\n",
+       "      <td>2</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>23.567999</td>\n",
+       "      <td>19488160702538132</td>\n",
+       "      <td>0.013724</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>61028.122882</td>\n",
+       "      <td>r</td>\n",
+       "      <td>-22.874243</td>\n",
+       "      <td>824.900363</td>\n",
+       "      <td>2399.635596</td>\n",
+       "      <td>32</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>35</th>\n",
+       "      <td>31411429222</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>55.712634</td>\n",
+       "      <td>-32.363318</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2.518996</td>\n",
+       "      <td>20.616583</td>\n",
+       "      <td>62.191097</td>\n",
+       "      <td>1.039812e+02</td>\n",
+       "      <td>1.331367e+02</td>\n",
+       "      <td>1.523226e+02</td>\n",
+       "      <td>2.612644</td>\n",
+       "      <td>21.182823</td>\n",
+       "      <td>6.348559e+01</td>\n",
+       "      <td>1.056405e+02</td>\n",
+       "      <td>1.347722e+02</td>\n",
+       "      <td>1.538744e+02</td>\n",
+       "      <td>4431</td>\n",
+       "      <td>10</td>\n",
+       "      <td>2</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>26.915680</td>\n",
+       "      <td>19488160702571558</td>\n",
+       "      <td>0.044845</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>61028.122882</td>\n",
+       "      <td>r</td>\n",
+       "      <td>-0.074621</td>\n",
+       "      <td>427.139317</td>\n",
+       "      <td>2494.710566</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>36</th>\n",
+       "      <td>31411427628</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>55.742855</td>\n",
+       "      <td>-32.346595</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2.871198</td>\n",
+       "      <td>23.659836</td>\n",
+       "      <td>71.970161</td>\n",
+       "      <td>1.213275e+02</td>\n",
+       "      <td>1.563542e+02</td>\n",
+       "      <td>1.798251e+02</td>\n",
+       "      <td>2.972296</td>\n",
+       "      <td>24.275164</td>\n",
+       "      <td>7.338927e+01</td>\n",
+       "      <td>1.231618e+02</td>\n",
+       "      <td>1.581743e+02</td>\n",
+       "      <td>1.815612e+02</td>\n",
+       "      <td>4431</td>\n",
+       "      <td>10</td>\n",
+       "      <td>2</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>26.757118</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>-1.000000</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>61028.122882</td>\n",
+       "      <td>r</td>\n",
+       "      <td>0.107577</td>\n",
+       "      <td>851.407384</td>\n",
+       "      <td>2144.659294</td>\n",
+       "      <td>32</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>37</th>\n",
+       "      <td>31411417626</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>55.729487</td>\n",
+       "      <td>-32.249257</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1004.497498</td>\n",
+       "      <td>2052.993652</td>\n",
+       "      <td>2660.633789</td>\n",
+       "      <td>2.907241e+03</td>\n",
+       "      <td>2.950957e+03</td>\n",
+       "      <td>2.940347e+03</td>\n",
+       "      <td>1036.130371</td>\n",
+       "      <td>2102.446777</td>\n",
+       "      <td>2.707870e+03</td>\n",
+       "      <td>2.946607e+03</td>\n",
+       "      <td>2.981578e+03</td>\n",
+       "      <td>2.965630e+03</td>\n",
+       "      <td>4431</td>\n",
+       "      <td>17</td>\n",
+       "      <td>2</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>22.837536</td>\n",
+       "      <td>19488164997528069</td>\n",
+       "      <td>0.002562</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>61028.122882</td>\n",
+       "      <td>r</td>\n",
+       "      <td>1.996145</td>\n",
+       "      <td>458.466632</td>\n",
+       "      <td>423.491478</td>\n",
+       "      <td>32</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>38</th>\n",
+       "      <td>31411419490</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>55.723111</td>\n",
+       "      <td>-32.267330</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1.610350</td>\n",
+       "      <td>12.945601</td>\n",
+       "      <td>39.205601</td>\n",
+       "      <td>6.640604e+01</td>\n",
+       "      <td>8.612878e+01</td>\n",
+       "      <td>9.954173e+01</td>\n",
+       "      <td>1.660884</td>\n",
+       "      <td>13.245744</td>\n",
+       "      <td>3.989482e+01</td>\n",
+       "      <td>6.730120e+01</td>\n",
+       "      <td>8.702299e+01</td>\n",
+       "      <td>1.003990e+02</td>\n",
+       "      <td>4431</td>\n",
+       "      <td>17</td>\n",
+       "      <td>2</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>27.416630</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>-1.000000</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>61028.122882</td>\n",
+       "      <td>r</td>\n",
+       "      <td>0.431967</td>\n",
+       "      <td>397.398906</td>\n",
+       "      <td>757.823971</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>39</th>\n",
+       "      <td>31411420922</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>55.701453</td>\n",
+       "      <td>-32.282580</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>283.763214</td>\n",
+       "      <td>540.751953</td>\n",
+       "      <td>666.593628</td>\n",
+       "      <td>7.060361e+02</td>\n",
+       "      <td>7.006859e+02</td>\n",
+       "      <td>6.885002e+02</td>\n",
+       "      <td>292.744659</td>\n",
+       "      <td>553.850037</td>\n",
+       "      <td>6.784819e+02</td>\n",
+       "      <td>7.156362e+02</td>\n",
+       "      <td>7.079850e+02</td>\n",
+       "      <td>6.944423e+02</td>\n",
+       "      <td>4431</td>\n",
+       "      <td>17</td>\n",
+       "      <td>2</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>24.340347</td>\n",
+       "      <td>19488164997525888</td>\n",
+       "      <td>0.104272</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>61028.122882</td>\n",
+       "      <td>r</td>\n",
+       "      <td>-3.985256</td>\n",
+       "      <td>99.531017</td>\n",
+       "      <td>1067.197546</td>\n",
+       "      <td>32</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>40</th>\n",
+       "      <td>31500333496</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>55.861193</td>\n",
+       "      <td>-32.306093</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>388.651306</td>\n",
+       "      <td>1812.883179</td>\n",
+       "      <td>3376.096191</td>\n",
+       "      <td>4.269892e+03</td>\n",
+       "      <td>4.694878e+03</td>\n",
+       "      <td>5.002917e+03</td>\n",
+       "      <td>403.341766</td>\n",
+       "      <td>1864.231323</td>\n",
+       "      <td>3.447735e+03</td>\n",
+       "      <td>4.339098e+03</td>\n",
+       "      <td>4.753256e+03</td>\n",
+       "      <td>5.054481e+03</td>\n",
+       "      <td>4431</td>\n",
+       "      <td>16</td>\n",
+       "      <td>2</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>22.578962</td>\n",
+       "      <td>19488027558569691</td>\n",
+       "      <td>0.009181</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>61028.122882</td>\n",
+       "      <td>r</td>\n",
+       "      <td>-5.970113</td>\n",
+       "      <td>2562.550273</td>\n",
+       "      <td>1222.760970</td>\n",
+       "      <td>32</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>41</th>\n",
+       "      <td>31411427874</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>55.943414</td>\n",
+       "      <td>-32.338642</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>376.259613</td>\n",
+       "      <td>3163.965332</td>\n",
+       "      <td>7746.768555</td>\n",
+       "      <td>1.109013e+04</td>\n",
+       "      <td>1.297131e+04</td>\n",
+       "      <td>1.433456e+04</td>\n",
+       "      <td>387.904785</td>\n",
+       "      <td>3236.573242</td>\n",
+       "      <td>7.881440e+03</td>\n",
+       "      <td>1.123774e+04</td>\n",
+       "      <td>1.310397e+04</td>\n",
+       "      <td>1.445614e+04</td>\n",
+       "      <td>4431</td>\n",
+       "      <td>9</td>\n",
+       "      <td>2</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>21.677198</td>\n",
+       "      <td>19488023263619444</td>\n",
+       "      <td>0.002587</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>61028.122882</td>\n",
+       "      <td>r</td>\n",
+       "      <td>37.739635</td>\n",
+       "      <td>3869.220264</td>\n",
+       "      <td>1670.653798</td>\n",
+       "      <td>32</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>42</th>\n",
+       "      <td>31411422491</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>55.882983</td>\n",
+       "      <td>-32.288284</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>5.446069</td>\n",
+       "      <td>43.269855</td>\n",
+       "      <td>131.956589</td>\n",
+       "      <td>2.248824e+02</td>\n",
+       "      <td>2.924638e+02</td>\n",
+       "      <td>3.380874e+02</td>\n",
+       "      <td>5.649847</td>\n",
+       "      <td>44.465038</td>\n",
+       "      <td>1.347182e+02</td>\n",
+       "      <td>2.284902e+02</td>\n",
+       "      <td>2.960767e+02</td>\n",
+       "      <td>3.415512e+02</td>\n",
+       "      <td>4431</td>\n",
+       "      <td>16</td>\n",
+       "      <td>2</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>26.098921</td>\n",
+       "      <td>19488027558571325</td>\n",
+       "      <td>0.117320</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>61028.122882</td>\n",
+       "      <td>r</td>\n",
+       "      <td>-0.470866</td>\n",
+       "      <td>2857.742406</td>\n",
+       "      <td>867.823367</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>43</th>\n",
+       "      <td>31500331386</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>55.888395</td>\n",
+       "      <td>-32.271442</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>4.943869</td>\n",
+       "      <td>40.422558</td>\n",
+       "      <td>120.851974</td>\n",
+       "      <td>2.001543e+02</td>\n",
+       "      <td>2.544263e+02</td>\n",
+       "      <td>2.894038e+02</td>\n",
+       "      <td>5.130087</td>\n",
+       "      <td>41.547882</td>\n",
+       "      <td>1.234013e+02</td>\n",
+       "      <td>2.033912e+02</td>\n",
+       "      <td>2.575934e+02</td>\n",
+       "      <td>2.923912e+02</td>\n",
+       "      <td>4431</td>\n",
+       "      <td>16</td>\n",
+       "      <td>2</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>26.194365</td>\n",
+       "      <td>19488027558572982</td>\n",
+       "      <td>0.099590</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>61028.122882</td>\n",
+       "      <td>r</td>\n",
+       "      <td>-0.079125</td>\n",
+       "      <td>2907.030621</td>\n",
+       "      <td>557.254963</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>44</th>\n",
+       "      <td>31411423360</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>55.919947</td>\n",
+       "      <td>-32.295270</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>9.690533</td>\n",
+       "      <td>80.663048</td>\n",
+       "      <td>227.929352</td>\n",
+       "      <td>3.604174e+02</td>\n",
+       "      <td>4.449094e+02</td>\n",
+       "      <td>4.990877e+02</td>\n",
+       "      <td>10.017183</td>\n",
+       "      <td>82.675903</td>\n",
+       "      <td>2.322415e+02</td>\n",
+       "      <td>3.656440e+02</td>\n",
+       "      <td>4.498733e+02</td>\n",
+       "      <td>5.037054e+02</td>\n",
+       "      <td>4431</td>\n",
+       "      <td>16</td>\n",
+       "      <td>2</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>25.505501</td>\n",
+       "      <td>19488027558544640</td>\n",
+       "      <td>0.050721</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>61028.122882</td>\n",
+       "      <td>r</td>\n",
+       "      <td>1.144773</td>\n",
+       "      <td>3430.571098</td>\n",
+       "      <td>932.186128</td>\n",
+       "      <td>512</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>45</th>\n",
+       "      <td>31411425201</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>55.917385</td>\n",
+       "      <td>-32.313623</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>5.842709</td>\n",
+       "      <td>46.201828</td>\n",
+       "      <td>122.777290</td>\n",
+       "      <td>1.870214e+02</td>\n",
+       "      <td>2.262397e+02</td>\n",
+       "      <td>2.516679e+02</td>\n",
+       "      <td>6.034833</td>\n",
+       "      <td>47.328354</td>\n",
+       "      <td>1.250447e+02</td>\n",
+       "      <td>1.896676e+02</td>\n",
+       "      <td>2.287015e+02</td>\n",
+       "      <td>2.539388e+02</td>\n",
+       "      <td>4431</td>\n",
+       "      <td>16</td>\n",
+       "      <td>2</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>26.177206</td>\n",
+       "      <td>19488027558543772</td>\n",
+       "      <td>0.111726</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>61028.122882</td>\n",
+       "      <td>r</td>\n",
+       "      <td>-0.154823</td>\n",
+       "      <td>3427.241600</td>\n",
+       "      <td>1265.136559</td>\n",
+       "      <td>512</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>46</th>\n",
+       "      <td>31102012493</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>55.911107</td>\n",
+       "      <td>-32.306644</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>5850.729980</td>\n",
+       "      <td>33638.097656</td>\n",
+       "      <td>66124.085938</td>\n",
+       "      <td>8.493040e+04</td>\n",
+       "      <td>9.348997e+04</td>\n",
+       "      <td>9.994627e+04</td>\n",
+       "      <td>6048.012207</td>\n",
+       "      <td>34487.304688</td>\n",
+       "      <td>6.737831e+04</td>\n",
+       "      <td>8.616176e+04</td>\n",
+       "      <td>9.453010e+04</td>\n",
+       "      <td>1.008682e+05</td>\n",
+       "      <td>4431</td>\n",
+       "      <td>16</td>\n",
+       "      <td>2</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>19.349100</td>\n",
+       "      <td>19488027558569589</td>\n",
+       "      <td>0.003833</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>61028.122882</td>\n",
+       "      <td>r</td>\n",
+       "      <td>-673.622375</td>\n",
+       "      <td>3318.787202</td>\n",
+       "      <td>1150.439993</td>\n",
+       "      <td>32</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>47</th>\n",
+       "      <td>31411426910</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>55.900401</td>\n",
+       "      <td>-32.331192</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>13.671319</td>\n",
+       "      <td>108.998871</td>\n",
+       "      <td>325.948334</td>\n",
+       "      <td>5.447780e+02</td>\n",
+       "      <td>6.989665e+02</td>\n",
+       "      <td>8.017766e+02</td>\n",
+       "      <td>14.119137</td>\n",
+       "      <td>111.638397</td>\n",
+       "      <td>3.319308e+02</td>\n",
+       "      <td>5.524448e+02</td>\n",
+       "      <td>7.065409e+02</td>\n",
+       "      <td>8.089828e+02</td>\n",
+       "      <td>4431</td>\n",
+       "      <td>9</td>\n",
+       "      <td>2</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>25.117128</td>\n",
+       "      <td>19488023263620184</td>\n",
+       "      <td>0.034914</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>61028.122882</td>\n",
+       "      <td>r</td>\n",
+       "      <td>0.325892</td>\n",
+       "      <td>3204.287935</td>\n",
+       "      <td>1607.781877</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>48</th>\n",
+       "      <td>31411425954</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>55.917176</td>\n",
+       "      <td>-32.321103</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>392347.781250</td>\n",
+       "      <td>803337.875000</td>\n",
+       "      <td>985523.937500</td>\n",
+       "      <td>1.042120e+06</td>\n",
+       "      <td>1.037414e+06</td>\n",
+       "      <td>1.025661e+06</td>\n",
+       "      <td>405508.875000</td>\n",
+       "      <td>824014.625000</td>\n",
+       "      <td>1.004190e+06</td>\n",
+       "      <td>1.057168e+06</td>\n",
+       "      <td>1.048885e+06</td>\n",
+       "      <td>1.035059e+06</td>\n",
+       "      <td>4431</td>\n",
+       "      <td>9</td>\n",
+       "      <td>2</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>16.415833</td>\n",
+       "      <td>19488023263620946</td>\n",
+       "      <td>0.001923</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>61028.122882</td>\n",
+       "      <td>r</td>\n",
+       "      <td>1217.174316</td>\n",
+       "      <td>3438.526779</td>\n",
+       "      <td>1399.481927</td>\n",
+       "      <td>32</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>49</th>\n",
+       "      <td>31405680808</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>55.906242</td>\n",
+       "      <td>-32.323183</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>39.218830</td>\n",
+       "      <td>336.684662</td>\n",
+       "      <td>966.980896</td>\n",
+       "      <td>1.541168e+03</td>\n",
+       "      <td>1.909941e+03</td>\n",
+       "      <td>2.147553e+03</td>\n",
+       "      <td>40.495506</td>\n",
+       "      <td>344.793793</td>\n",
+       "      <td>9.846497e+02</td>\n",
+       "      <td>1.562757e+03</td>\n",
+       "      <td>1.930529e+03</td>\n",
+       "      <td>2.166751e+03</td>\n",
+       "      <td>4431</td>\n",
+       "      <td>9</td>\n",
+       "      <td>2</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>23.936455</td>\n",
+       "      <td>19488023263620703</td>\n",
+       "      <td>0.002079</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>61028.122882</td>\n",
+       "      <td>r</td>\n",
+       "      <td>-3.761985</td>\n",
+       "      <td>3277.145257</td>\n",
+       "      <td>1454.702489</td>\n",
+       "      <td>32</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>50</th>\n",
+       "      <td>31411419091</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>55.952314</td>\n",
+       "      <td>-32.251002</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>3.341661</td>\n",
+       "      <td>26.820513</td>\n",
+       "      <td>79.209312</td>\n",
+       "      <td>1.294146e+02</td>\n",
+       "      <td>1.630296e+02</td>\n",
+       "      <td>1.841278e+02</td>\n",
+       "      <td>3.461406</td>\n",
+       "      <td>27.531399</td>\n",
+       "      <td>8.080021e+01</td>\n",
+       "      <td>1.314077e+02</td>\n",
+       "      <td>1.649620e+02</td>\n",
+       "      <td>1.859376e+02</td>\n",
+       "      <td>4431</td>\n",
+       "      <td>16</td>\n",
+       "      <td>2</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>26.653059</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>-1.000000</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>61028.122882</td>\n",
+       "      <td>r</td>\n",
+       "      <td>-0.067355</td>\n",
+       "      <td>3835.026492</td>\n",
+       "      <td>86.223692</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>51</th>\n",
+       "      <td>31500330101</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>55.964263</td>\n",
+       "      <td>-32.247593</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>57.024666</td>\n",
+       "      <td>467.464417</td>\n",
+       "      <td>1437.125122</td>\n",
+       "      <td>2.450701e+03</td>\n",
+       "      <td>3.185864e+03</td>\n",
+       "      <td>3.683083e+03</td>\n",
+       "      <td>59.096527</td>\n",
+       "      <td>480.001984</td>\n",
+       "      <td>1.466344e+03</td>\n",
+       "      <td>2.488902e+03</td>\n",
+       "      <td>3.224106e+03</td>\n",
+       "      <td>3.719750e+03</td>\n",
+       "      <td>4431</td>\n",
+       "      <td>16</td>\n",
+       "      <td>2</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>23.506264</td>\n",
+       "      <td>19488027558575286</td>\n",
+       "      <td>0.005336</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>61028.122882</td>\n",
+       "      <td>r</td>\n",
+       "      <td>55.154003</td>\n",
+       "      <td>4009.339917</td>\n",
+       "      <td>5.601601</td>\n",
+       "      <td>48</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>52</th>\n",
+       "      <td>31411420881</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>55.962893</td>\n",
+       "      <td>-32.268407</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>71.990807</td>\n",
+       "      <td>488.067749</td>\n",
+       "      <td>1153.164062</td>\n",
+       "      <td>1.647874e+03</td>\n",
+       "      <td>1.926922e+03</td>\n",
+       "      <td>2.108108e+03</td>\n",
+       "      <td>74.551048</td>\n",
+       "      <td>500.984894</td>\n",
+       "      <td>1.176202e+03</td>\n",
+       "      <td>1.673069e+03</td>\n",
+       "      <td>1.949560e+03</td>\n",
+       "      <td>2.128642e+03</td>\n",
+       "      <td>4431</td>\n",
+       "      <td>16</td>\n",
+       "      <td>2</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>23.745272</td>\n",
+       "      <td>19488027558573200</td>\n",
+       "      <td>0.012206</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>61028.122882</td>\n",
+       "      <td>r</td>\n",
+       "      <td>-0.007502</td>\n",
+       "      <td>4028.669525</td>\n",
+       "      <td>380.643164</td>\n",
+       "      <td>32</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>53</th>\n",
+       "      <td>31405682947</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>55.820947</td>\n",
+       "      <td>-32.345129</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>70.432274</td>\n",
+       "      <td>377.426727</td>\n",
+       "      <td>758.802124</td>\n",
+       "      <td>9.987484e+02</td>\n",
+       "      <td>1.117240e+03</td>\n",
+       "      <td>1.195281e+03</td>\n",
+       "      <td>72.981880</td>\n",
+       "      <td>387.663452</td>\n",
+       "      <td>7.742535e+02</td>\n",
+       "      <td>1.014295e+03</td>\n",
+       "      <td>1.130589e+03</td>\n",
+       "      <td>1.207120e+03</td>\n",
+       "      <td>4431</td>\n",
+       "      <td>9</td>\n",
+       "      <td>2</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>24.199678</td>\n",
+       "      <td>19488023263585542</td>\n",
+       "      <td>0.012895</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>61028.122882</td>\n",
+       "      <td>r</td>\n",
+       "      <td>-1.853721</td>\n",
+       "      <td>2029.601122</td>\n",
+       "      <td>1988.575157</td>\n",
+       "      <td>32</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>54</th>\n",
+       "      <td>31500334199</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>55.797823</td>\n",
+       "      <td>-32.320015</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>27.382212</td>\n",
+       "      <td>230.947189</td>\n",
+       "      <td>633.705139</td>\n",
+       "      <td>9.800634e+02</td>\n",
+       "      <td>1.194772e+03</td>\n",
+       "      <td>1.335562e+03</td>\n",
+       "      <td>28.364899</td>\n",
+       "      <td>237.081909</td>\n",
+       "      <td>6.464662e+02</td>\n",
+       "      <td>9.951842e+02</td>\n",
+       "      <td>1.208948e+03</td>\n",
+       "      <td>1.348703e+03</td>\n",
+       "      <td>4431</td>\n",
+       "      <td>9</td>\n",
+       "      <td>2</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>24.395283</td>\n",
+       "      <td>19488023263621129</td>\n",
+       "      <td>0.009996</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>61028.122882</td>\n",
+       "      <td>r</td>\n",
+       "      <td>-5.463296</td>\n",
+       "      <td>1630.925465</td>\n",
+       "      <td>1577.032672</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>55</th>\n",
+       "      <td>31102012281</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>55.808410</td>\n",
+       "      <td>-32.302038</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>6944.725586</td>\n",
+       "      <td>36496.246094</td>\n",
+       "      <td>70224.062500</td>\n",
+       "      <td>8.974331e+04</td>\n",
+       "      <td>9.892876e+04</td>\n",
+       "      <td>1.057880e+05</td>\n",
+       "      <td>7208.149902</td>\n",
+       "      <td>37532.480469</td>\n",
+       "      <td>7.172007e+04</td>\n",
+       "      <td>9.120397e+04</td>\n",
+       "      <td>1.001641e+05</td>\n",
+       "      <td>1.068830e+05</td>\n",
+       "      <td>4431</td>\n",
+       "      <td>16</td>\n",
+       "      <td>2</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>19.283785</td>\n",
+       "      <td>19488027558569966</td>\n",
+       "      <td>0.000290</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>61028.122882</td>\n",
+       "      <td>r</td>\n",
+       "      <td>24.183588</td>\n",
+       "      <td>1756.077328</td>\n",
+       "      <td>1237.444206</td>\n",
+       "      <td>32</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>56</th>\n",
+       "      <td>31411417475</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>55.813107</td>\n",
+       "      <td>-32.243519</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>21.523272</td>\n",
+       "      <td>143.574219</td>\n",
+       "      <td>321.436951</td>\n",
+       "      <td>4.448448e+02</td>\n",
+       "      <td>5.140989e+02</td>\n",
+       "      <td>5.635848e+02</td>\n",
+       "      <td>22.357506</td>\n",
+       "      <td>147.712448</td>\n",
+       "      <td>3.284254e+02</td>\n",
+       "      <td>4.522407e+02</td>\n",
+       "      <td>5.206620e+02</td>\n",
+       "      <td>5.695498e+02</td>\n",
+       "      <td>4431</td>\n",
+       "      <td>16</td>\n",
+       "      <td>2</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>25.132259</td>\n",
+       "      <td>19488027558575564</td>\n",
+       "      <td>0.040441</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>61028.122882</td>\n",
+       "      <td>r</td>\n",
+       "      <td>-0.027428</td>\n",
+       "      <td>1713.168431</td>\n",
+       "      <td>181.533360</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>57</th>\n",
+       "      <td>31411418748</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>55.758807</td>\n",
+       "      <td>-32.257996</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2.792992</td>\n",
+       "      <td>20.748726</td>\n",
+       "      <td>53.450855</td>\n",
+       "      <td>8.025360e+01</td>\n",
+       "      <td>9.638987e+01</td>\n",
+       "      <td>1.067362e+02</td>\n",
+       "      <td>2.890879</td>\n",
+       "      <td>21.288557</td>\n",
+       "      <td>5.450277e+01</td>\n",
+       "      <td>8.146323e+01</td>\n",
+       "      <td>9.750690e+01</td>\n",
+       "      <td>1.077618e+02</td>\n",
+       "      <td>4431</td>\n",
+       "      <td>17</td>\n",
+       "      <td>2</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>27.080114</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>-1.000000</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>61028.122882</td>\n",
+       "      <td>r</td>\n",
+       "      <td>0.026276</td>\n",
+       "      <td>919.427616</td>\n",
+       "      <td>531.071505</td>\n",
+       "      <td>1056</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>58</th>\n",
+       "      <td>31411420609</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>55.776831</td>\n",
+       "      <td>-32.275624</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1394.514893</td>\n",
+       "      <td>4652.577148</td>\n",
+       "      <td>7543.738770</td>\n",
+       "      <td>9.009576e+03</td>\n",
+       "      <td>9.589650e+03</td>\n",
+       "      <td>9.955562e+03</td>\n",
+       "      <td>1444.989258</td>\n",
+       "      <td>4779.845215</td>\n",
+       "      <td>7.697320e+03</td>\n",
+       "      <td>9.149597e+03</td>\n",
+       "      <td>9.703936e+03</td>\n",
+       "      <td>1.005389e+04</td>\n",
+       "      <td>4431</td>\n",
+       "      <td>17</td>\n",
+       "      <td>2</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>21.706032</td>\n",
+       "      <td>19488164997523097</td>\n",
+       "      <td>0.002863</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>61028.122882</td>\n",
+       "      <td>r</td>\n",
+       "      <td>-10.549919</td>\n",
+       "      <td>1226.695247</td>\n",
+       "      <td>816.784827</td>\n",
+       "      <td>32</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>59</th>\n",
+       "      <td>31411420975</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>55.775825</td>\n",
+       "      <td>-32.279179</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>45.810040</td>\n",
+       "      <td>352.855713</td>\n",
+       "      <td>884.955444</td>\n",
+       "      <td>1.298476e+03</td>\n",
+       "      <td>1.539845e+03</td>\n",
+       "      <td>1.700385e+03</td>\n",
+       "      <td>47.456989</td>\n",
+       "      <td>362.267914</td>\n",
+       "      <td>9.028160e+02</td>\n",
+       "      <td>1.318539e+03</td>\n",
+       "      <td>1.558131e+03</td>\n",
+       "      <td>1.717129e+03</td>\n",
+       "      <td>4431</td>\n",
+       "      <td>17</td>\n",
+       "      <td>2</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>24.032698</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>-1.000000</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>61028.122882</td>\n",
+       "      <td>r</td>\n",
+       "      <td>7.746586</td>\n",
+       "      <td>1218.408560</td>\n",
+       "      <td>882.142795</td>\n",
+       "      <td>32</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>61</th>\n",
+       "      <td>31405673531</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>55.762365</td>\n",
+       "      <td>-32.269246</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>19.411808</td>\n",
+       "      <td>142.636169</td>\n",
+       "      <td>350.418304</td>\n",
+       "      <td>5.093890e+02</td>\n",
+       "      <td>6.011580e+02</td>\n",
+       "      <td>6.614888e+02</td>\n",
+       "      <td>20.100529</td>\n",
+       "      <td>146.394806</td>\n",
+       "      <td>3.573996e+02</td>\n",
+       "      <td>5.171577e+02</td>\n",
+       "      <td>6.082042e+02</td>\n",
+       "      <td>6.679174e+02</td>\n",
+       "      <td>4431</td>\n",
+       "      <td>17</td>\n",
+       "      <td>2</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>25.038532</td>\n",
+       "      <td>19488164997523193</td>\n",
+       "      <td>0.033138</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>61028.122882</td>\n",
+       "      <td>r</td>\n",
+       "      <td>-1.962186</td>\n",
+       "      <td>995.284829</td>\n",
+       "      <td>726.636260</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>62</th>\n",
+       "      <td>31411419399</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>55.816679</td>\n",
+       "      <td>-32.261316</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>9874.976562</td>\n",
+       "      <td>25218.703125</td>\n",
+       "      <td>36485.492188</td>\n",
+       "      <td>4.184838e+04</td>\n",
+       "      <td>4.365382e+04</td>\n",
+       "      <td>4.443381e+04</td>\n",
+       "      <td>10256.374023</td>\n",
+       "      <td>25959.986328</td>\n",
+       "      <td>3.727873e+04</td>\n",
+       "      <td>4.254241e+04</td>\n",
+       "      <td>4.420869e+04</td>\n",
+       "      <td>4.490180e+04</td>\n",
+       "      <td>4431</td>\n",
+       "      <td>16</td>\n",
+       "      <td>2</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>19.994699</td>\n",
+       "      <td>19488027558573963</td>\n",
+       "      <td>0.001080</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>61028.122882</td>\n",
+       "      <td>r</td>\n",
+       "      <td>183.368652</td>\n",
+       "      <td>1801.902219</td>\n",
+       "      <td>494.369515</td>\n",
+       "      <td>32</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>66</th>\n",
+       "      <td>31411422664</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>55.795710</td>\n",
+       "      <td>-32.294633</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2133.050049</td>\n",
+       "      <td>5315.281738</td>\n",
+       "      <td>7431.650879</td>\n",
+       "      <td>8.422142e+03</td>\n",
+       "      <td>8.762410e+03</td>\n",
+       "      <td>8.885188e+03</td>\n",
+       "      <td>2212.363525</td>\n",
+       "      <td>5466.271484</td>\n",
+       "      <td>7.587556e+03</td>\n",
+       "      <td>8.556910e+03</td>\n",
+       "      <td>8.869850e+03</td>\n",
+       "      <td>8.975478e+03</td>\n",
+       "      <td>4431</td>\n",
+       "      <td>16</td>\n",
+       "      <td>2</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>21.722286</td>\n",
+       "      <td>19488027558570146</td>\n",
+       "      <td>0.002090</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>61028.122882</td>\n",
+       "      <td>r</td>\n",
+       "      <td>11.366923</td>\n",
+       "      <td>1549.484983</td>\n",
+       "      <td>1125.891893</td>\n",
+       "      <td>32</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>67</th>\n",
+       "      <td>31411420662</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>55.834413</td>\n",
+       "      <td>-32.273100</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>3760.662842</td>\n",
+       "      <td>20075.894531</td>\n",
+       "      <td>41146.863281</td>\n",
+       "      <td>5.482920e+04</td>\n",
+       "      <td>6.196086e+04</td>\n",
+       "      <td>6.678671e+04</td>\n",
+       "      <td>3908.117432</td>\n",
+       "      <td>20664.103516</td>\n",
+       "      <td>4.205259e+04</td>\n",
+       "      <td>5.575162e+04</td>\n",
+       "      <td>6.276104e+04</td>\n",
+       "      <td>6.750162e+04</td>\n",
+       "      <td>4431</td>\n",
+       "      <td>16</td>\n",
+       "      <td>2</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>19.864159</td>\n",
+       "      <td>19488027558572789</td>\n",
+       "      <td>0.001372</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>61028.122882</td>\n",
+       "      <td>r</td>\n",
+       "      <td>-115.410141</td>\n",
+       "      <td>2093.246144</td>\n",
+       "      <td>676.059095</td>\n",
+       "      <td>32</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>68</th>\n",
+       "      <td>31411420425</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>55.818703</td>\n",
+       "      <td>-32.271713</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>78.645859</td>\n",
+       "      <td>625.545532</td>\n",
+       "      <td>1591.176880</td>\n",
+       "      <td>2.349913e+03</td>\n",
+       "      <td>2.796326e+03</td>\n",
+       "      <td>3.095531e+03</td>\n",
+       "      <td>81.653854</td>\n",
+       "      <td>643.280273</td>\n",
+       "      <td>1.625321e+03</td>\n",
+       "      <td>2.388516e+03</td>\n",
+       "      <td>2.831630e+03</td>\n",
+       "      <td>3.127934e+03</td>\n",
+       "      <td>4431</td>\n",
+       "      <td>16</td>\n",
+       "      <td>2</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>23.395702</td>\n",
+       "      <td>19488027558572942</td>\n",
+       "      <td>0.006915</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>61028.122882</td>\n",
+       "      <td>r</td>\n",
+       "      <td>166.295044</td>\n",
+       "      <td>1852.781897</td>\n",
+       "      <td>677.221716</td>\n",
+       "      <td>32</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>69</th>\n",
+       "      <td>31411420361</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>55.823281</td>\n",
+       "      <td>-32.270895</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>157.305634</td>\n",
+       "      <td>733.933716</td>\n",
+       "      <td>1367.034668</td>\n",
+       "      <td>1.729166e+03</td>\n",
+       "      <td>1.901454e+03</td>\n",
+       "      <td>2.026322e+03</td>\n",
+       "      <td>163.407974</td>\n",
+       "      <td>755.265869</td>\n",
+       "      <td>1.396799e+03</td>\n",
+       "      <td>1.757922e+03</td>\n",
+       "      <td>1.925712e+03</td>\n",
+       "      <td>2.047748e+03</td>\n",
+       "      <td>4431</td>\n",
+       "      <td>16</td>\n",
+       "      <td>2</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>23.560551</td>\n",
+       "      <td>19488027558573063</td>\n",
+       "      <td>0.012575</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>61028.122882</td>\n",
+       "      <td>r</td>\n",
+       "      <td>6.967145</td>\n",
+       "      <td>1920.474664</td>\n",
+       "      <td>654.990029</td>\n",
+       "      <td>32</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>70</th>\n",
+       "      <td>31411421139</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>55.816579</td>\n",
+       "      <td>-32.278785</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>71.119019</td>\n",
+       "      <td>360.440216</td>\n",
+       "      <td>721.109192</td>\n",
+       "      <td>9.509966e+02</td>\n",
+       "      <td>1.068605e+03</td>\n",
+       "      <td>1.147035e+03</td>\n",
+       "      <td>73.837990</td>\n",
+       "      <td>370.753113</td>\n",
+       "      <td>7.365945e+02</td>\n",
+       "      <td>9.666037e+02</td>\n",
+       "      <td>1.082066e+03</td>\n",
+       "      <td>1.159011e+03</td>\n",
+       "      <td>4431</td>\n",
+       "      <td>16</td>\n",
+       "      <td>2</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>24.254997</td>\n",
+       "      <td>19488027558572341</td>\n",
+       "      <td>0.004401</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>61028.122882</td>\n",
+       "      <td>r</td>\n",
+       "      <td>-0.209456</td>\n",
+       "      <td>1834.409383</td>\n",
+       "      <td>807.407486</td>\n",
+       "      <td>32</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>71</th>\n",
+       "      <td>31500328834</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>55.745089</td>\n",
+       "      <td>-32.239291</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>7.432840</td>\n",
+       "      <td>61.144257</td>\n",
+       "      <td>180.943069</td>\n",
+       "      <td>2.960505e+02</td>\n",
+       "      <td>3.726910e+02</td>\n",
+       "      <td>4.211813e+02</td>\n",
+       "      <td>7.665252</td>\n",
+       "      <td>62.559177</td>\n",
+       "      <td>1.841178e+02</td>\n",
+       "      <td>3.000344e+02</td>\n",
+       "      <td>3.765519e+02</td>\n",
+       "      <td>4.248000e+02</td>\n",
+       "      <td>4431</td>\n",
+       "      <td>17</td>\n",
+       "      <td>2</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>25.756145</td>\n",
+       "      <td>19488164997528248</td>\n",
+       "      <td>0.135303</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>61028.122882</td>\n",
+       "      <td>r</td>\n",
+       "      <td>-0.008144</td>\n",
+       "      <td>675.142659</td>\n",
+       "      <td>218.946644</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>72</th>\n",
+       "      <td>31411416803</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>55.806357</td>\n",
+       "      <td>-32.237593</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>39.020409</td>\n",
+       "      <td>260.341827</td>\n",
+       "      <td>635.323059</td>\n",
+       "      <td>9.304046e+02</td>\n",
+       "      <td>1.103758e+03</td>\n",
+       "      <td>1.212674e+03</td>\n",
+       "      <td>40.551552</td>\n",
+       "      <td>267.940491</td>\n",
+       "      <td>6.493159e+02</td>\n",
+       "      <td>9.460889e+02</td>\n",
+       "      <td>1.118057e+03</td>\n",
+       "      <td>1.225698e+03</td>\n",
+       "      <td>4431</td>\n",
+       "      <td>16</td>\n",
+       "      <td>2</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>24.392513</td>\n",
+       "      <td>19488027558576244</td>\n",
+       "      <td>0.018091</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>61028.122882</td>\n",
+       "      <td>r</td>\n",
+       "      <td>0.418374</td>\n",
+       "      <td>1599.434172</td>\n",
+       "      <td>86.610950</td>\n",
+       "      <td>32</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "              id  host_galaxy         ra        dec  redshift  is_variable  \\\n",
+       "0   MS_9300_3652   4126946327  55.809744 -32.332801  0.945324            1   \n",
+       "1   MS_9300_4184   4127142911  55.933019 -32.284723  0.973225            1   \n",
+       "0    31411429981           -1  55.820381 -32.364658  0.000000            1   \n",
+       "1    31107745011           -1  55.815901 -32.372821  0.000000            1   \n",
+       "2    31411429992           -1  55.808551 -32.365349  0.000000            1   \n",
+       "3    31405687653           -1  55.769400 -32.385121  0.000000            1   \n",
+       "4    31411430598           -1  55.784715 -32.371861  0.000000            1   \n",
+       "5    31411431584           -1  55.694891 -32.385083  0.000000            1   \n",
+       "6    31405685097           -1  55.698054 -32.367778  0.000000            1   \n",
+       "7    31411429963           -1  55.709906 -32.370149  0.000000            1   \n",
+       "8    31405695056           -1  55.752186 -32.444417  0.000000            1   \n",
+       "9    31303591512           -1  55.734631 -32.405041  0.000000            1   \n",
+       "10   31405688188           -1  55.737764 -32.390812  0.000000            1   \n",
+       "11   31500338795           -1  55.766827 -32.392674  0.000000            1   \n",
+       "13   31107745884           -1  55.685606 -32.420192  0.000000            1   \n",
+       "14   31411431456           -1  55.846529 -32.376424  0.000000            1   \n",
+       "15   31405689453           -1  55.861416 -32.394664  0.000000            1   \n",
+       "16   31411433079           -1  55.862970 -32.390615  0.000000            1   \n",
+       "17   31411435238           -1  55.927944 -32.409212  0.000000            1   \n",
+       "18   31405690039           -1  55.932181 -32.396247  0.000000            1   \n",
+       "19   31411435379           -1  55.879466 -32.412980  0.000000            1   \n",
+       "20   31405689834           -1  55.890474 -32.396386  0.000000            1   \n",
+       "21   31405689317           -1  55.915417 -32.390858  0.000000            1   \n",
+       "22   31405687067           -1  55.843104 -32.376660  0.000000            1   \n",
+       "23   31411433059           -1  55.845564 -32.391282  0.000000            1   \n",
+       "24   31411433171           -1  55.837128 -32.392919  0.000000            1   \n",
+       "25   31411437889           -1  55.810828 -32.439987  0.000000            1   \n",
+       "26   31411437836           -1  55.802368 -32.439891  0.000000            1   \n",
+       "27   31411439894           -1  55.908861 -32.453742  0.000000            1   \n",
+       "28   31500343398           -1  55.890708 -32.457614  0.000000            1   \n",
+       "29   31411438984           -1  55.896820 -32.445671  0.000000            1   \n",
+       "30   31405691981           -1  55.838388 -32.416365  0.000000            1   \n",
+       "31   31500341979           -1  55.822515 -32.439874  0.000000            1   \n",
+       "32   31405677272           -1  55.728531 -32.302963  0.000000            1   \n",
+       "33   31411422848           -1  55.755820 -32.298574  0.000000            1   \n",
+       "34   31405684392           -1  55.739303 -32.360498  0.000000            1   \n",
+       "35   31411429222           -1  55.712634 -32.363318  0.000000            1   \n",
+       "36   31411427628           -1  55.742855 -32.346595  0.000000            1   \n",
+       "37   31411417626           -1  55.729487 -32.249257  0.000000            1   \n",
+       "38   31411419490           -1  55.723111 -32.267330  0.000000            1   \n",
+       "39   31411420922           -1  55.701453 -32.282580  0.000000            1   \n",
+       "40   31500333496           -1  55.861193 -32.306093  0.000000            1   \n",
+       "41   31411427874           -1  55.943414 -32.338642  0.000000            1   \n",
+       "42   31411422491           -1  55.882983 -32.288284  0.000000            1   \n",
+       "43   31500331386           -1  55.888395 -32.271442  0.000000            1   \n",
+       "44   31411423360           -1  55.919947 -32.295270  0.000000            1   \n",
+       "45   31411425201           -1  55.917385 -32.313623  0.000000            1   \n",
+       "46   31102012493           -1  55.911107 -32.306644  0.000000            1   \n",
+       "47   31411426910           -1  55.900401 -32.331192  0.000000            1   \n",
+       "48   31411425954           -1  55.917176 -32.321103  0.000000            1   \n",
+       "49   31405680808           -1  55.906242 -32.323183  0.000000            1   \n",
+       "50   31411419091           -1  55.952314 -32.251002  0.000000            1   \n",
+       "51   31500330101           -1  55.964263 -32.247593  0.000000            1   \n",
+       "52   31411420881           -1  55.962893 -32.268407  0.000000            1   \n",
+       "53   31405682947           -1  55.820947 -32.345129  0.000000            1   \n",
+       "54   31500334199           -1  55.797823 -32.320015  0.000000            1   \n",
+       "55   31102012281           -1  55.808410 -32.302038  0.000000            1   \n",
+       "56   31411417475           -1  55.813107 -32.243519  0.000000            1   \n",
+       "57   31411418748           -1  55.758807 -32.257996  0.000000            1   \n",
+       "58   31411420609           -1  55.776831 -32.275624  0.000000            1   \n",
+       "59   31411420975           -1  55.775825 -32.279179  0.000000            1   \n",
+       "61   31405673531           -1  55.762365 -32.269246  0.000000            1   \n",
+       "62   31411419399           -1  55.816679 -32.261316  0.000000            1   \n",
+       "66   31411422664           -1  55.795710 -32.294633  0.000000            1   \n",
+       "67   31411420662           -1  55.834413 -32.273100  0.000000            1   \n",
+       "68   31411420425           -1  55.818703 -32.271713  0.000000            1   \n",
+       "69   31411420361           -1  55.823281 -32.270895  0.000000            1   \n",
+       "70   31411421139           -1  55.816579 -32.278785  0.000000            1   \n",
+       "71   31500328834           -1  55.745089 -32.239291  0.000000            1   \n",
+       "72   31411416803           -1  55.806357 -32.237593  0.000000            1   \n",
+       "\n",
+       "    is_pointsource         flux_u         flux_g         flux_r        flux_i  \\\n",
+       "0                1       0.000000       0.000000       0.000000  0.000000e+00   \n",
+       "1                1       0.000000       0.000000       0.000000  0.000000e+00   \n",
+       "0                1       2.310072      20.113888      56.057739  8.733038e+01   \n",
+       "1                1    3636.093994   30671.835938   93393.062500  1.561495e+05   \n",
+       "2                1      13.605010     106.517334     291.346863  4.534999e+02   \n",
+       "3                1     321.084656    1358.970947    2467.447998  3.095575e+03   \n",
+       "4                1   15260.922852   35802.816406   48942.753906  5.485975e+04   \n",
+       "5                1      28.379381     226.587006     678.250854  1.134425e+03   \n",
+       "6                1       4.323857      34.259571     101.540794  1.682722e+02   \n",
+       "7                1    1610.342896   10002.177734   21584.724609  2.929542e+04   \n",
+       "8                1      20.087885     159.634460     486.893951  8.298591e+02   \n",
+       "9                1    1493.161377   11558.089844   27362.058594  3.862286e+04   \n",
+       "10               1       2.855799      22.800966      63.334991  9.960946e+01   \n",
+       "11               1       7.660849      59.740383     174.419342  2.862502e+02   \n",
+       "13               1    3100.957031   20908.390625   46725.500000  6.436393e+04   \n",
+       "14               1      31.994078     242.885544     653.423462  1.008914e+03   \n",
+       "15               1    8630.159180   17930.673828   22370.490234  2.396540e+04   \n",
+       "16               1      11.172137      87.426613     239.047318  3.719982e+02   \n",
+       "17               1      18.554678     142.760376     357.760254  5.246328e+02   \n",
+       "18               1     195.810364     787.476257    1401.214355  1.757307e+03   \n",
+       "19               1    4983.581543   14444.914062   22494.914062  2.642928e+04   \n",
+       "20               1     210.913818    1630.707642    3857.261475  5.441409e+03   \n",
+       "21               1      39.695847     328.605011     983.438721  1.626886e+03   \n",
+       "22               1    1514.853516    3560.597168    4907.236816  5.493993e+03   \n",
+       "23               1       5.132287      39.519112      99.090645  1.453693e+02   \n",
+       "24               1      22.568253     147.897232     326.451355  4.472291e+02   \n",
+       "25               1   41967.523438   89523.421875  118290.523438  1.307665e+05   \n",
+       "26               1      14.864845      98.164810     228.989349  3.254244e+02   \n",
+       "27               1     119.679604     436.977325     724.354309  8.718572e+02   \n",
+       "28               1      11.438114      90.940865     217.606979  3.084898e+02   \n",
+       "29               1      61.259678     494.198883    1373.330688  2.153890e+03   \n",
+       "30               1   35513.410156   99528.734375  151415.000000  1.798811e+05   \n",
+       "31               1       4.163986      35.771961     102.789299  1.638835e+02   \n",
+       "32               1    1615.538940    5026.174805    7790.952148  9.121348e+03   \n",
+       "33               1     150.229324    1151.415039    3012.745361  4.556335e+03   \n",
+       "34               1     206.706100     787.645874    1357.689331  1.678637e+03   \n",
+       "35               1       2.518996      20.616583      62.191097  1.039812e+02   \n",
+       "36               1       2.871198      23.659836      71.970161  1.213275e+02   \n",
+       "37               1    1004.497498    2052.993652    2660.633789  2.907241e+03   \n",
+       "38               1       1.610350      12.945601      39.205601  6.640604e+01   \n",
+       "39               1     283.763214     540.751953     666.593628  7.060361e+02   \n",
+       "40               1     388.651306    1812.883179    3376.096191  4.269892e+03   \n",
+       "41               1     376.259613    3163.965332    7746.768555  1.109013e+04   \n",
+       "42               1       5.446069      43.269855     131.956589  2.248824e+02   \n",
+       "43               1       4.943869      40.422558     120.851974  2.001543e+02   \n",
+       "44               1       9.690533      80.663048     227.929352  3.604174e+02   \n",
+       "45               1       5.842709      46.201828     122.777290  1.870214e+02   \n",
+       "46               1    5850.729980   33638.097656   66124.085938  8.493040e+04   \n",
+       "47               1      13.671319     108.998871     325.948334  5.447780e+02   \n",
+       "48               1  392347.781250  803337.875000  985523.937500  1.042120e+06   \n",
+       "49               1      39.218830     336.684662     966.980896  1.541168e+03   \n",
+       "50               1       3.341661      26.820513      79.209312  1.294146e+02   \n",
+       "51               1      57.024666     467.464417    1437.125122  2.450701e+03   \n",
+       "52               1      71.990807     488.067749    1153.164062  1.647874e+03   \n",
+       "53               1      70.432274     377.426727     758.802124  9.987484e+02   \n",
+       "54               1      27.382212     230.947189     633.705139  9.800634e+02   \n",
+       "55               1    6944.725586   36496.246094   70224.062500  8.974331e+04   \n",
+       "56               1      21.523272     143.574219     321.436951  4.448448e+02   \n",
+       "57               1       2.792992      20.748726      53.450855  8.025360e+01   \n",
+       "58               1    1394.514893    4652.577148    7543.738770  9.009576e+03   \n",
+       "59               1      45.810040     352.855713     884.955444  1.298476e+03   \n",
+       "61               1      19.411808     142.636169     350.418304  5.093890e+02   \n",
+       "62               1    9874.976562   25218.703125   36485.492188  4.184838e+04   \n",
+       "66               1    2133.050049    5315.281738    7431.650879  8.422142e+03   \n",
+       "67               1    3760.662842   20075.894531   41146.863281  5.482920e+04   \n",
+       "68               1      78.645859     625.545532    1591.176880  2.349913e+03   \n",
+       "69               1     157.305634     733.933716    1367.034668  1.729166e+03   \n",
+       "70               1      71.119019     360.440216     721.109192  9.509966e+02   \n",
+       "71               1       7.432840      61.144257     180.943069  2.960505e+02   \n",
+       "72               1      39.020409     260.341827     635.323059  9.304046e+02   \n",
+       "\n",
+       "          flux_z        flux_y    flux_u_noMW    flux_g_noMW   flux_r_noMW  \\\n",
+       "0   0.000000e+00  0.000000e+00       0.000000       0.000000  0.000000e+00   \n",
+       "1   0.000000e+00  0.000000e+00       0.000000       0.000000  0.000000e+00   \n",
+       "0   1.068484e+02  1.197150e+02       2.390107      20.629416  5.714767e+01   \n",
+       "1   1.994355e+05  2.274639e+05    3763.048096   31463.066406  9.522001e+04   \n",
+       "2   5.554426e+02  6.201711e+02      14.089564     109.329041  2.971701e+02   \n",
+       "3   3.397009e+03  3.610074e+03     332.723846    1395.917969  2.517652e+03   \n",
+       "4   5.661934e+04  5.711891e+04   15810.935547   36788.800781  4.993746e+04   \n",
+       "5   1.456302e+03  1.671033e+03      29.471909     233.031006  6.928635e+02   \n",
+       "6   2.144816e+02  2.447493e+02       4.486736      35.213562  1.036824e+02   \n",
+       "7   3.327904e+04  3.600256e+04    1670.990479   10283.201172  2.204137e+04   \n",
+       "8   1.079333e+03  1.247763e+03      20.856276     164.141632  4.973089e+02   \n",
+       "9   4.483291e+04  4.926749e+04    1549.979370   11884.512695  2.794624e+04   \n",
+       "10  1.231738e+02  1.384741e+02       2.962494      23.431360  6.466182e+01   \n",
+       "11  3.629403e+02  4.130834e+02       7.939463      61.347252  1.779727e+02   \n",
+       "13  7.371798e+04  8.022395e+04    3223.948486   21525.703125  4.776568e+04   \n",
+       "14  1.230678e+03  1.370760e+03      33.102448     249.126968  6.661313e+02   \n",
+       "15  2.412536e+04  2.397641e+04    8922.796875   18397.306641  2.279894e+04   \n",
+       "16  4.555325e+02  5.085623e+02      11.547754      89.605675  2.435595e+02   \n",
+       "17  6.218842e+02  6.865504e+02      19.138159     146.093140  3.640820e+02   \n",
+       "18  1.922564e+03  2.024145e+03     201.979218     806.189575  1.426088e+03   \n",
+       "19  2.787818e+04  2.869732e+04    5150.277832   14810.434570  2.291796e+04   \n",
+       "20  6.313410e+03  6.936081e+03     217.934464    1671.018921  3.929375e+03   \n",
+       "21  2.065896e+03  2.349544e+03      40.972355     336.418915  1.001172e+03   \n",
+       "22  5.646328e+03  5.690145e+03    1567.217407    3654.480225  5.002811e+03   \n",
+       "23  1.723696e+02  1.903268e+02       5.310069      40.534969  1.010181e+02   \n",
+       "24  5.106219e+02  5.544650e+02      23.356764     151.748581  3.328605e+02   \n",
+       "25  1.338773e+05  1.341264e+05   43481.671875   91993.132812  1.206956e+05   \n",
+       "26  3.794148e+02  4.143253e+02      15.410313     100.846901  2.337093e+02   \n",
+       "27  9.313407e+02  9.702585e+02     123.497902     447.513275  7.373729e+02   \n",
+       "28  3.588933e+02  3.950652e+02      11.813221      93.154434  2.216149e+02   \n",
+       "29  2.647792e+03  2.962875e+03      63.236725     506.016541  1.398218e+03   \n",
+       "30  1.930506e+05  1.986065e+05   36748.953125  102168.703125  1.543901e+05   \n",
+       "31  2.031530e+02  2.284623e+02       4.311286      36.707893  1.048291e+02   \n",
+       "32  9.601045e+03  9.886889e+03    1669.845337    5154.297363  7.938493e+03   \n",
+       "33  5.492216e+03  6.095685e+03     155.378738    1180.695557  3.070735e+03   \n",
+       "34  1.823917e+03  1.910985e+03     214.213287     809.255859  1.385463e+03   \n",
+       "35  1.331367e+02  1.523226e+02       2.612644      21.182823  6.348559e+01   \n",
+       "36  1.563542e+02  1.798251e+02       2.972296      24.275164  7.338927e+01   \n",
+       "37  2.950957e+03  2.940347e+03    1036.130371    2102.446777  2.707870e+03   \n",
+       "38  8.612878e+01  9.954173e+01       1.660884      13.245744  3.989482e+01   \n",
+       "39  7.006859e+02  6.885002e+02     292.744659     553.850037  6.784819e+02   \n",
+       "40  4.694878e+03  5.002917e+03     403.341766    1864.231323  3.447735e+03   \n",
+       "41  1.297131e+04  1.433456e+04     387.904785    3236.573242  7.881440e+03   \n",
+       "42  2.924638e+02  3.380874e+02       5.649847      44.465038  1.347182e+02   \n",
+       "43  2.544263e+02  2.894038e+02       5.130087      41.547882  1.234013e+02   \n",
+       "44  4.449094e+02  4.990877e+02      10.017183      82.675903  2.322415e+02   \n",
+       "45  2.262397e+02  2.516679e+02       6.034833      47.328354  1.250447e+02   \n",
+       "46  9.348997e+04  9.994627e+04    6048.012207   34487.304688  6.737831e+04   \n",
+       "47  6.989665e+02  8.017766e+02      14.119137     111.638397  3.319308e+02   \n",
+       "48  1.037414e+06  1.025661e+06  405508.875000  824014.625000  1.004190e+06   \n",
+       "49  1.909941e+03  2.147553e+03      40.495506     344.793793  9.846497e+02   \n",
+       "50  1.630296e+02  1.841278e+02       3.461406      27.531399  8.080021e+01   \n",
+       "51  3.185864e+03  3.683083e+03      59.096527     480.001984  1.466344e+03   \n",
+       "52  1.926922e+03  2.108108e+03      74.551048     500.984894  1.176202e+03   \n",
+       "53  1.117240e+03  1.195281e+03      72.981880     387.663452  7.742535e+02   \n",
+       "54  1.194772e+03  1.335562e+03      28.364899     237.081909  6.464662e+02   \n",
+       "55  9.892876e+04  1.057880e+05    7208.149902   37532.480469  7.172007e+04   \n",
+       "56  5.140989e+02  5.635848e+02      22.357506     147.712448  3.284254e+02   \n",
+       "57  9.638987e+01  1.067362e+02       2.890879      21.288557  5.450277e+01   \n",
+       "58  9.589650e+03  9.955562e+03    1444.989258    4779.845215  7.697320e+03   \n",
+       "59  1.539845e+03  1.700385e+03      47.456989     362.267914  9.028160e+02   \n",
+       "61  6.011580e+02  6.614888e+02      20.100529     146.394806  3.573996e+02   \n",
+       "62  4.365382e+04  4.443381e+04   10256.374023   25959.986328  3.727873e+04   \n",
+       "66  8.762410e+03  8.885188e+03    2212.363525    5466.271484  7.587556e+03   \n",
+       "67  6.196086e+04  6.678671e+04    3908.117432   20664.103516  4.205259e+04   \n",
+       "68  2.796326e+03  3.095531e+03      81.653854     643.280273  1.625321e+03   \n",
+       "69  1.901454e+03  2.026322e+03     163.407974     755.265869  1.396799e+03   \n",
+       "70  1.068605e+03  1.147035e+03      73.837990     370.753113  7.365945e+02   \n",
+       "71  3.726910e+02  4.211813e+02       7.665252      62.559177  1.841178e+02   \n",
+       "72  1.103758e+03  1.212674e+03      40.551552     267.940491  6.493159e+02   \n",
+       "\n",
+       "     flux_i_noMW   flux_z_noMW   flux_y_noMW  tract  patch  truth_type  \\\n",
+       "0   0.000000e+00  0.000000e+00  0.000000e+00   4431      9           3   \n",
+       "1   0.000000e+00  0.000000e+00  0.000000e+00   4431     16           3   \n",
+       "0   8.863153e+01  1.080729e+02  1.208527e+02   4431      9           2   \n",
+       "1   1.584920e+05  2.017389e+05  2.296427e+05   4431      9           2   \n",
+       "2   4.604453e+02  5.619857e+02  6.262289e+02   4431      9           2   \n",
+       "3   3.143679e+03  3.437509e+03  3.645750e+03   4431     10           2   \n",
+       "4   5.571016e+04  5.729187e+04  5.768116e+04   4431      9           2   \n",
+       "5   1.153159e+03  1.474815e+03  1.688649e+03   4431     10           2   \n",
+       "6   1.709927e+02  2.171506e+02  2.472750e+02   4431     10           2   \n",
+       "7   2.976937e+04  3.369241e+04  3.637329e+04   4431     10           2   \n",
+       "8   8.434660e+02  1.092960e+03  1.260828e+03   4431     10           2   \n",
+       "9   3.925377e+04  4.539539e+04  4.977998e+04   4431     10           2   \n",
+       "10  1.012082e+02  1.246945e+02  1.398916e+02   4431     10           2   \n",
+       "11  2.907202e+02  3.673026e+02  4.172007e+02   4431     10           2   \n",
+       "13  6.545972e+04  7.468162e+04  8.109330e+04   4431     10           2   \n",
+       "14  1.023948e+03  1.244783e+03  1.383787e+03   4431      9           2   \n",
+       "15  2.431535e+04  2.439516e+04  2.419864e+04   4431      9           2   \n",
+       "16  3.773792e+02  4.606014e+02  5.132549e+02   4431      9           2   \n",
+       "17  5.317321e+02  6.283535e+02  6.924729e+02   4431      9           2   \n",
+       "18  1.781142e+03  1.942575e+03  2.041610e+03   4431      9           2   \n",
+       "19  2.680867e+04  2.818507e+04  2.895912e+04   4431      9           2   \n",
+       "20  5.519267e+03  6.382808e+03  6.999302e+03   4431      9           2   \n",
+       "21  1.649384e+03  2.087891e+03  2.370291e+03   4431      9           2   \n",
+       "22  5.575616e+03  5.710615e+03  5.743831e+03   4431      9           2   \n",
+       "23  1.475343e+02  1.743428e+02  1.921334e+02   4431      9           2   \n",
+       "24  4.539456e+02  5.165110e+02  5.597668e+02   4431      9           2   \n",
+       "25  1.327940e+05  1.354678e+05  1.354467e+05   4431      9           2   \n",
+       "26  3.305572e+02  3.840125e+02  4.184878e+02   4431      9           2   \n",
+       "27  8.838237e+02  9.411454e+02  9.787255e+02   4431      9           2   \n",
+       "28  3.128388e+02  3.627805e+02  3.986135e+02   4431      9           2   \n",
+       "29  2.183808e+03  2.676088e+03  2.989133e+03   4431      9           2   \n",
+       "30  1.825789e+05  1.952705e+05  2.004996e+05   4431      9           2   \n",
+       "31  1.663763e+02  2.055306e+02  2.306795e+02   4431      9           2   \n",
+       "32  9.253201e+03  9.707457e+03  9.977709e+03   4431     17           2   \n",
+       "33  4.623513e+03  5.554483e+03  6.152989e+03   4431     17           2   \n",
+       "34  1.704860e+03  1.845774e+03  1.929966e+03   4431     10           2   \n",
+       "35  1.056405e+02  1.347722e+02  1.538744e+02   4431     10           2   \n",
+       "36  1.231618e+02  1.581743e+02  1.815612e+02   4431     10           2   \n",
+       "37  2.946607e+03  2.981578e+03  2.965630e+03   4431     17           2   \n",
+       "38  6.730120e+01  8.702299e+01  1.003990e+02   4431     17           2   \n",
+       "39  7.156362e+02  7.079850e+02  6.944423e+02   4431     17           2   \n",
+       "40  4.339098e+03  4.753256e+03  5.054481e+03   4431     16           2   \n",
+       "41  1.123774e+04  1.310397e+04  1.445614e+04   4431      9           2   \n",
+       "42  2.284902e+02  2.960767e+02  3.415512e+02   4431     16           2   \n",
+       "43  2.033912e+02  2.575934e+02  2.923912e+02   4431     16           2   \n",
+       "44  3.656440e+02  4.498733e+02  5.037054e+02   4431     16           2   \n",
+       "45  1.896676e+02  2.287015e+02  2.539388e+02   4431     16           2   \n",
+       "46  8.616176e+04  9.453010e+04  1.008682e+05   4431     16           2   \n",
+       "47  5.524448e+02  7.065409e+02  8.089828e+02   4431      9           2   \n",
+       "48  1.057168e+06  1.048885e+06  1.035059e+06   4431      9           2   \n",
+       "49  1.562757e+03  1.930529e+03  2.166751e+03   4431      9           2   \n",
+       "50  1.314077e+02  1.649620e+02  1.859376e+02   4431     16           2   \n",
+       "51  2.488902e+03  3.224106e+03  3.719750e+03   4431     16           2   \n",
+       "52  1.673069e+03  1.949560e+03  2.128642e+03   4431     16           2   \n",
+       "53  1.014295e+03  1.130589e+03  1.207120e+03   4431      9           2   \n",
+       "54  9.951842e+02  1.208948e+03  1.348703e+03   4431      9           2   \n",
+       "55  9.120397e+04  1.001641e+05  1.068830e+05   4431     16           2   \n",
+       "56  4.522407e+02  5.206620e+02  5.695498e+02   4431     16           2   \n",
+       "57  8.146323e+01  9.750690e+01  1.077618e+02   4431     17           2   \n",
+       "58  9.149597e+03  9.703936e+03  1.005389e+04   4431     17           2   \n",
+       "59  1.318539e+03  1.558131e+03  1.717129e+03   4431     17           2   \n",
+       "61  5.171577e+02  6.082042e+02  6.679174e+02   4431     17           2   \n",
+       "62  4.254241e+04  4.420869e+04  4.490180e+04   4431     16           2   \n",
+       "66  8.556910e+03  8.869850e+03  8.975478e+03   4431     16           2   \n",
+       "67  5.575162e+04  6.276104e+04  6.750162e+04   4431     16           2   \n",
+       "68  2.388516e+03  2.831630e+03  3.127934e+03   4431     16           2   \n",
+       "69  1.757922e+03  1.925712e+03  2.047748e+03   4431     16           2   \n",
+       "70  9.666037e+02  1.082066e+03  1.159011e+03   4431     16           2   \n",
+       "71  3.000344e+02  3.765519e+02  4.248000e+02   4431     17           2   \n",
+       "72  9.460889e+02  1.118057e+03  1.225698e+03   4431     16           2   \n",
+       "\n",
+       "    cosmodc2_hp  cosmodc2_id      mag_r     match_objectId  match_sep  \\\n",
+       "0            -1           -1        inf                 -1  -1.000000   \n",
+       "1            -1           -1        inf                 -1  -1.000000   \n",
+       "0            -1           -1  27.028410                 -1  -1.000000   \n",
+       "1            -1           -1  18.974213  19488023263616405   0.005030   \n",
+       "2            -1           -1  25.238974  19488023263584596   0.017922   \n",
+       "3            -1           -1  22.919380  19488160702569925   0.012625   \n",
+       "4            -1           -1  19.675779  19488023263616515   0.003004   \n",
+       "5            -1           -1  24.321526  19488160702569673   0.054073   \n",
+       "6            -1           -1  26.383398  19488160702537820   0.065193   \n",
+       "7            -1           -1  20.564634  19488160702570912   0.001382   \n",
+       "8            -1           -1  24.681414  19488160702564714   0.011670   \n",
+       "9            -1           -1  20.307129  19488160702536196   0.000902   \n",
+       "10           -1           -1  26.895889                 -1  -1.000000   \n",
+       "11           -1           -1  25.796013  19488160702536733   0.027959   \n",
+       "13           -1           -1  19.726116  19488160702566987   0.002003   \n",
+       "14           -1           -1  24.362013                 -1  -1.000000   \n",
+       "15           -1           -1  20.525810  19488023263614092   0.001680   \n",
+       "16           -1           -1  25.453789  19488023263614853   0.015480   \n",
+       "17           -1           -1  25.016020  19488023263582519   0.081374   \n",
+       "18           -1           -1  23.533737  19488023263614318   0.019977   \n",
+       "19           -1           -1  20.519789  19488023263612775   0.001563   \n",
+       "20           -1           -1  22.434301  19488023263614214   0.004244   \n",
+       "21           -1           -1  23.918133  19488023263614717   0.027648   \n",
+       "22           -1           -1  22.172907  19488023263615824   0.001346   \n",
+       "23           -1           -1  26.409920  19488023263614736   0.038123   \n",
+       "24           -1           -1  25.115454  19488023263614621   0.075458   \n",
+       "25           -1           -1  18.717625  19488023263610338   0.001792   \n",
+       "26           -1           -1  25.500462  19488023263610223   0.064217   \n",
+       "27           -1           -1  24.250124  19488023263609197   0.022966   \n",
+       "28           -1           -1  25.555819  19488023263608961   0.130993   \n",
+       "29           -1           -1  23.555563  19488023263609726   0.003967   \n",
+       "30           -1           -1  18.449577  19488023263612141   0.000878   \n",
+       "31           -1           -1  26.370129                 -1  -1.000000   \n",
+       "32           -1           -1  21.671024  19488164997524412   0.003816   \n",
+       "33           -1           -1  22.702595  19488164997525140   0.174717   \n",
+       "34           -1           -1  23.567999  19488160702538132   0.013724   \n",
+       "35           -1           -1  26.915680  19488160702571558   0.044845   \n",
+       "36           -1           -1  26.757118                 -1  -1.000000   \n",
+       "37           -1           -1  22.837536  19488164997528069   0.002562   \n",
+       "38           -1           -1  27.416630                 -1  -1.000000   \n",
+       "39           -1           -1  24.340347  19488164997525888   0.104272   \n",
+       "40           -1           -1  22.578962  19488027558569691   0.009181   \n",
+       "41           -1           -1  21.677198  19488023263619444   0.002587   \n",
+       "42           -1           -1  26.098921  19488027558571325   0.117320   \n",
+       "43           -1           -1  26.194365  19488027558572982   0.099590   \n",
+       "44           -1           -1  25.505501  19488027558544640   0.050721   \n",
+       "45           -1           -1  26.177206  19488027558543772   0.111726   \n",
+       "46           -1           -1  19.349100  19488027558569589   0.003833   \n",
+       "47           -1           -1  25.117128  19488023263620184   0.034914   \n",
+       "48           -1           -1  16.415833  19488023263620946   0.001923   \n",
+       "49           -1           -1  23.936455  19488023263620703   0.002079   \n",
+       "50           -1           -1  26.653059                 -1  -1.000000   \n",
+       "51           -1           -1  23.506264  19488027558575286   0.005336   \n",
+       "52           -1           -1  23.745272  19488027558573200   0.012206   \n",
+       "53           -1           -1  24.199678  19488023263585542   0.012895   \n",
+       "54           -1           -1  24.395283  19488023263621129   0.009996   \n",
+       "55           -1           -1  19.283785  19488027558569966   0.000290   \n",
+       "56           -1           -1  25.132259  19488027558575564   0.040441   \n",
+       "57           -1           -1  27.080114                 -1  -1.000000   \n",
+       "58           -1           -1  21.706032  19488164997523097   0.002863   \n",
+       "59           -1           -1  24.032698                 -1  -1.000000   \n",
+       "61           -1           -1  25.038532  19488164997523193   0.033138   \n",
+       "62           -1           -1  19.994699  19488027558573963   0.001080   \n",
+       "66           -1           -1  21.722286  19488027558570146   0.002090   \n",
+       "67           -1           -1  19.864159  19488027558572789   0.001372   \n",
+       "68           -1           -1  23.395702  19488027558572942   0.006915   \n",
+       "69           -1           -1  23.560551  19488027558573063   0.012575   \n",
+       "70           -1           -1  24.254997  19488027558572341   0.004401   \n",
+       "71           -1           -1  25.756145  19488164997528248   0.135303   \n",
+       "72           -1           -1  24.392513  19488027558576244   0.018091   \n",
+       "\n",
+       "    is_good_match  is_nearest_neighbor  is_unique_truth_entry  obsHistID  \\\n",
+       "0           False                False                   True     982985   \n",
+       "1           False                False                   True     982985   \n",
+       "0           False                False                   True     982985   \n",
+       "1            True                 True                   True     982985   \n",
+       "2            True                 True                   True     982985   \n",
+       "3            True                 True                   True     982985   \n",
+       "4            True                 True                   True     982985   \n",
+       "5            True                 True                   True     982985   \n",
+       "6            True                 True                   True     982985   \n",
+       "7            True                 True                   True     982985   \n",
+       "8            True                 True                   True     982985   \n",
+       "9            True                 True                   True     982985   \n",
+       "10          False                False                   True     982985   \n",
+       "11           True                 True                   True     982985   \n",
+       "13           True                 True                   True     982985   \n",
+       "14          False                False                   True     982985   \n",
+       "15           True                 True                   True     982985   \n",
+       "16           True                 True                   True     982985   \n",
+       "17           True                 True                   True     982985   \n",
+       "18           True                 True                   True     982985   \n",
+       "19           True                 True                   True     982985   \n",
+       "20           True                 True                   True     982985   \n",
+       "21           True                 True                   True     982985   \n",
+       "22           True                 True                   True     982985   \n",
+       "23           True                 True                   True     982985   \n",
+       "24           True                 True                   True     982985   \n",
+       "25           True                 True                   True     982985   \n",
+       "26           True                 True                   True     982985   \n",
+       "27           True                 True                   True     982985   \n",
+       "28           True                 True                   True     982985   \n",
+       "29           True                 True                   True     982985   \n",
+       "30           True                 True                   True     982985   \n",
+       "31          False                False                   True     982985   \n",
+       "32           True                 True                   True     982985   \n",
+       "33          False                 True                   True     982985   \n",
+       "34           True                 True                   True     982985   \n",
+       "35           True                 True                   True     982985   \n",
+       "36          False                False                   True     982985   \n",
+       "37           True                 True                   True     982985   \n",
+       "38          False                False                   True     982985   \n",
+       "39           True                 True                   True     982985   \n",
+       "40           True                 True                   True     982985   \n",
+       "41           True                 True                   True     982985   \n",
+       "42           True                 True                   True     982985   \n",
+       "43           True                 True                   True     982985   \n",
+       "44           True                 True                   True     982985   \n",
+       "45           True                 True                   True     982985   \n",
+       "46           True                 True                   True     982985   \n",
+       "47           True                 True                   True     982985   \n",
+       "48           True                 True                   True     982985   \n",
+       "49           True                 True                   True     982985   \n",
+       "50          False                False                   True     982985   \n",
+       "51           True                 True                   True     982985   \n",
+       "52           True                 True                   True     982985   \n",
+       "53           True                 True                   True     982985   \n",
+       "54           True                 True                   True     982985   \n",
+       "55           True                 True                   True     982985   \n",
+       "56           True                 True                   True     982985   \n",
+       "57          False                False                   True     982985   \n",
+       "58           True                 True                   True     982985   \n",
+       "59          False                False                   True     982985   \n",
+       "61          False                 True                   True     982985   \n",
+       "62           True                 True                   True     982985   \n",
+       "66           True                 True                   True     982985   \n",
+       "67           True                 True                   True     982985   \n",
+       "68           True                 True                   True     982985   \n",
+       "69           True                 True                   True     982985   \n",
+       "70           True                 True                   True     982985   \n",
+       "71           True                 True                   True     982985   \n",
+       "72           True                 True                   True     982985   \n",
+       "\n",
+       "             MJD bandpass   delta_flux            x            y  mask  \n",
+       "0   61028.122882        r     7.922391  1836.168943  1786.292517    32  \n",
+       "1   61028.122882        r    17.903126  3608.015876   721.816330    32  \n",
+       "0   61028.122882        r    -0.417352  2059.019139  2339.377328     0  \n",
+       "1   61028.122882        r  -529.692749  2007.168215  2493.043168    32  \n",
+       "2   61028.122882        r    17.688076  1881.492080  2371.355936     0  \n",
+       "3   61028.122882        r     1.449948  1328.094816  2790.628694    32  \n",
+       "4   61028.122882        r   -72.041725  1533.766505  2527.586751    32  \n",
+       "5   61028.122882        r     0.474110   201.592933  2914.339264    32  \n",
+       "6   61028.122882        r    -0.202717   215.423998  2599.018975     0  \n",
+       "7   61028.122882        r    15.859311   399.300981  2621.664320    32  \n",
+       "8   61028.122882        r    -0.444933  1183.747340  3881.727116     0  \n",
+       "9   61028.122882        r  -132.988541   841.449452  3205.470441    32  \n",
+       "10  61028.122882        r     0.130878   860.960608  2945.298546     0  \n",
+       "11  61028.122882        r    -0.648288  1303.953075  2930.229952     0  \n",
+       "13  61028.122882        r   -10.301233   130.185811  3558.946164    32  \n",
+       "14  61028.122882        r    -2.156009  2477.230728  2506.907568    32  \n",
+       "15  61028.122882        r    17.939392  2737.667328  2809.136227    32  \n",
+       "16  61028.122882        r    -1.392454  2753.302497  2734.020014     0  \n",
+       "17  61028.122882        r     0.462488  3771.350815  2960.366859     0  \n",
+       "18  61028.122882        r     1.024173  3810.391631  2721.115737    32  \n",
+       "19  61028.122882        r    19.051943  3045.962144  3107.555202    32  \n",
+       "20  61028.122882        r    -1.381235  3180.235622  2792.104254    32  \n",
+       "21  61028.122882        r    21.603462  3546.592972  2652.067336    32  \n",
+       "22  61028.122882        r    22.786961  2425.904769  2516.792436    32  \n",
+       "23  61028.122882        r    -0.230734  2491.486404  2774.709680     0  \n",
+       "24  61028.122882        r     0.271971  2367.139060  2817.979317     0  \n",
+       "25  61028.122882        r   -71.276268  2061.147788  3704.881138    32  \n",
+       "26  61028.122882        r    -0.190598  1933.132354  3717.192009     0  \n",
+       "27  61028.122882        r     1.054785  3568.892027  3789.630046    32  \n",
+       "28  61028.122882        r    -0.249895  3302.135334  3888.867216     0  \n",
+       "29  61028.122882        r     1.244017  3371.402442  3664.789396    32  \n",
+       "30  61028.122882        r   304.331726  2431.705570  3236.002133    32  \n",
+       "31  61028.122882        r     0.031564  2237.510325  3683.511102    32  \n",
+       "32  61028.122882        r    21.249020   549.276467  1386.985556    32  \n",
+       "33  61028.122882        r   -14.479010   953.581708  1262.827125  1056  \n",
+       "34  61028.122882        r   -22.874243   824.900363  2399.635596    32  \n",
+       "35  61028.122882        r    -0.074621   427.139317  2494.710566     0  \n",
+       "36  61028.122882        r     0.107577   851.407384  2144.659294    32  \n",
+       "37  61028.122882        r     1.996145   458.466632   423.491478    32  \n",
+       "38  61028.122882        r     0.431967   397.398906   757.823971     0  \n",
+       "39  61028.122882        r    -3.985256    99.531017  1067.197546    32  \n",
+       "40  61028.122882        r    -5.970113  2562.550273  1222.760970    32  \n",
+       "41  61028.122882        r    37.739635  3869.220264  1670.653798    32  \n",
+       "42  61028.122882        r    -0.470866  2857.742406   867.823367     0  \n",
+       "43  61028.122882        r    -0.079125  2907.030621   557.254963     0  \n",
+       "44  61028.122882        r     1.144773  3430.571098   932.186128   512  \n",
+       "45  61028.122882        r    -0.154823  3427.241600  1265.136559   512  \n",
+       "46  61028.122882        r  -673.622375  3318.787202  1150.439993    32  \n",
+       "47  61028.122882        r     0.325892  3204.287935  1607.781877     0  \n",
+       "48  61028.122882        r  1217.174316  3438.526779  1399.481927    32  \n",
+       "49  61028.122882        r    -3.761985  3277.145257  1454.702489    32  \n",
+       "50  61028.122882        r    -0.067355  3835.026492    86.223692     0  \n",
+       "51  61028.122882        r    55.154003  4009.339917     5.601601    48  \n",
+       "52  61028.122882        r    -0.007502  4028.669525   380.643164    32  \n",
+       "53  61028.122882        r    -1.853721  2029.601122  1988.575157    32  \n",
+       "54  61028.122882        r    -5.463296  1630.925465  1577.032672     0  \n",
+       "55  61028.122882        r    24.183588  1756.077328  1237.444206    32  \n",
+       "56  61028.122882        r    -0.027428  1713.168431   181.533360     0  \n",
+       "57  61028.122882        r     0.026276   919.427616   531.071505  1056  \n",
+       "58  61028.122882        r   -10.549919  1226.695247   816.784827    32  \n",
+       "59  61028.122882        r     7.746586  1218.408560   882.142795    32  \n",
+       "61  61028.122882        r    -1.962186   995.284829   726.636260     0  \n",
+       "62  61028.122882        r   183.368652  1801.902219   494.369515    32  \n",
+       "66  61028.122882        r    11.366923  1549.484983  1125.891893    32  \n",
+       "67  61028.122882        r  -115.410141  2093.246144   676.059095    32  \n",
+       "68  61028.122882        r   166.295044  1852.781897   677.221716    32  \n",
+       "69  61028.122882        r     6.967145  1920.474664   654.990029    32  \n",
+       "70  61028.122882        r    -0.209456  1834.409383   807.407486    32  \n",
+       "71  61028.122882        r    -0.008144   675.142659   218.946644     0  \n",
+       "72  61028.122882        r     0.418374  1599.434172    86.610950    32  "
+      ]
+     },
+     "execution_count": 163,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "#--- Obtain mask info for truth rows\n",
+    "sci = butler.get('calexp',\n",
+    "                 collections='ap_verify-output',\n",
+    "                 dataId={'instrument': 'LSSTCam-imSim', 'visit': visit, 'detector': detector})\n",
+    "\n",
+    "X,Y = sci.getWcs().skyToPixelArray(ra=truth_all['ra'],dec=truth_all['dec'],degrees=True)\n",
+    "truth_all = truth_all.assign(x=X,y=Y) # add x,y columns to truth\n",
+    "mask = sci.getMaskedImage().getMask()\n",
+    "truth_all['mask'] = mask.getArray()[truth_all['y'].astype(int),truth_all['x'].astype(int)]\n",
+    "truth = truth_all[~truth_all.apply(lambda row: should_ignore(row['mask']), axis=1)]\n",
+    "\n",
+    "truth"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "37876466",
+   "metadata": {},
+   "source": [
+    "#### Now Bruno's version"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 57,
+   "id": "681aa794",
+   "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",
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+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>id</th>\n",
+       "      <th>host_galaxy</th>\n",
+       "      <th>ra</th>\n",
+       "      <th>dec</th>\n",
+       "      <th>redshift</th>\n",
+       "      <th>obshistid</th>\n",
+       "      <th>mjd</th>\n",
+       "      <th>bandpass</th>\n",
+       "      <th>delta_flux</th>\n",
+       "      <th>visit</th>\n",
+       "      <th>detector</th>\n",
+       "      <th>x_image</th>\n",
+       "      <th>y_image</th>\n",
+       "      <th>in_ccd</th>\n",
+       "      <th>flux</th>\n",
+       "      <th>transient_type</th>\n",
+       "      <th>flux_u</th>\n",
+       "      <th>flux_g</th>\n",
+       "      <th>flux_r</th>\n",
+       "      <th>flux_i</th>\n",
+       "      <th>flux_z</th>\n",
+       "      <th>flux_y</th>\n",
+       "      <th>is_pointsource</th>\n",
+       "      <th>is_variable</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>MS_9300_3652</td>\n",
+       "      <td>4.126946e+09</td>\n",
+       "      <td>55.809744</td>\n",
+       "      <td>-32.332801</td>\n",
+       "      <td>0.945324</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>61028.122882</td>\n",
+       "      <td>r</td>\n",
+       "      <td>7.922390</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>164</td>\n",
+       "      <td>1843.514576</td>\n",
+       "      <td>1777.764571</td>\n",
+       "      <td>True</td>\n",
+       "      <td>7.922390e+00</td>\n",
+       "      <td>SNIa</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>MS_9300_4184</td>\n",
+       "      <td>4.127143e+09</td>\n",
+       "      <td>55.933019</td>\n",
+       "      <td>-32.284723</td>\n",
+       "      <td>0.973225</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>61028.122882</td>\n",
+       "      <td>r</td>\n",
+       "      <td>17.903100</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>164</td>\n",
+       "      <td>3612.689623</td>\n",
+       "      <td>710.427492</td>\n",
+       "      <td>True</td>\n",
+       "      <td>1.790310e+01</td>\n",
+       "      <td>SNIa</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>31411429981</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>55.820381</td>\n",
+       "      <td>-32.364658</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>r</td>\n",
+       "      <td>-0.417352</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>164</td>\n",
+       "      <td>2067.755518</td>\n",
+       "      <td>2330.004105</td>\n",
+       "      <td>True</td>\n",
+       "      <td>5.564035e+01</td>\n",
+       "      <td>VariableStar</td>\n",
+       "      <td>2.310070e+00</td>\n",
+       "      <td>2.011390e+01</td>\n",
+       "      <td>5.605770e+01</td>\n",
+       "      <td>8.733040e+01</td>\n",
+       "      <td>1.068480e+02</td>\n",
+       "      <td>1.197150e+02</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>31107745011</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>55.815901</td>\n",
+       "      <td>-32.372821</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>r</td>\n",
+       "      <td>-529.692743</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>164</td>\n",
+       "      <td>2016.305992</td>\n",
+       "      <td>2483.649238</td>\n",
+       "      <td>True</td>\n",
+       "      <td>9.286341e+04</td>\n",
+       "      <td>VariableStar</td>\n",
+       "      <td>3.636090e+03</td>\n",
+       "      <td>3.067180e+04</td>\n",
+       "      <td>9.339310e+04</td>\n",
+       "      <td>1.561490e+05</td>\n",
+       "      <td>1.994350e+05</td>\n",
+       "      <td>2.274640e+05</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>31411429992</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>55.808551</td>\n",
+       "      <td>-32.365349</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>r</td>\n",
+       "      <td>17.688076</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>164</td>\n",
+       "      <td>1890.330502</td>\n",
+       "      <td>2362.300951</td>\n",
+       "      <td>True</td>\n",
+       "      <td>3.090351e+02</td>\n",
+       "      <td>VariableStar</td>\n",
+       "      <td>1.360500e+01</td>\n",
+       "      <td>1.065170e+02</td>\n",
+       "      <td>2.913470e+02</td>\n",
+       "      <td>4.535000e+02</td>\n",
+       "      <td>5.554430e+02</td>\n",
+       "      <td>6.201710e+02</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>31405687653</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>55.769400</td>\n",
+       "      <td>-32.385121</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>r</td>\n",
+       "      <td>1.449948</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>164</td>\n",
+       "      <td>1338.102880</td>\n",
+       "      <td>2782.289372</td>\n",
+       "      <td>True</td>\n",
+       "      <td>2.468900e+03</td>\n",
+       "      <td>VariableStar</td>\n",
+       "      <td>3.210850e+02</td>\n",
+       "      <td>1.358970e+03</td>\n",
+       "      <td>2.467450e+03</td>\n",
+       "      <td>3.095570e+03</td>\n",
+       "      <td>3.397010e+03</td>\n",
+       "      <td>3.610070e+03</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>31411430598</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>55.784715</td>\n",
+       "      <td>-32.371861</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>r</td>\n",
+       "      <td>-72.041725</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>164</td>\n",
+       "      <td>1543.054872</td>\n",
+       "      <td>2519.074789</td>\n",
+       "      <td>True</td>\n",
+       "      <td>4.887076e+04</td>\n",
+       "      <td>VariableStar</td>\n",
+       "      <td>1.526090e+04</td>\n",
+       "      <td>3.580280e+04</td>\n",
+       "      <td>4.894280e+04</td>\n",
+       "      <td>5.485980e+04</td>\n",
+       "      <td>5.661930e+04</td>\n",
+       "      <td>5.711890e+04</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5</th>\n",
+       "      <td>31411431584</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>55.694891</td>\n",
+       "      <td>-32.385083</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>r</td>\n",
+       "      <td>0.474110</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>164</td>\n",
+       "      <td>212.155645</td>\n",
+       "      <td>2908.004547</td>\n",
+       "      <td>True</td>\n",
+       "      <td>6.787251e+02</td>\n",
+       "      <td>VariableStar</td>\n",
+       "      <td>2.837940e+01</td>\n",
+       "      <td>2.265870e+02</td>\n",
+       "      <td>6.782510e+02</td>\n",
+       "      <td>1.134430e+03</td>\n",
+       "      <td>1.456300e+03</td>\n",
+       "      <td>1.671030e+03</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>6</th>\n",
+       "      <td>31405685097</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>55.698054</td>\n",
+       "      <td>-32.367778</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>r</td>\n",
+       "      <td>-0.202717</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>164</td>\n",
+       "      <td>225.141427</td>\n",
+       "      <td>2592.935608</td>\n",
+       "      <td>True</td>\n",
+       "      <td>1.013383e+02</td>\n",
+       "      <td>VariableStar</td>\n",
+       "      <td>4.323860e+00</td>\n",
+       "      <td>3.425960e+01</td>\n",
+       "      <td>1.015410e+02</td>\n",
+       "      <td>1.682720e+02</td>\n",
+       "      <td>2.144820e+02</td>\n",
+       "      <td>2.447490e+02</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>7</th>\n",
+       "      <td>31411429963</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>55.709906</td>\n",
+       "      <td>-32.370149</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>r</td>\n",
+       "      <td>15.859311</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>164</td>\n",
+       "      <td>409.038575</td>\n",
+       "      <td>2615.218523</td>\n",
+       "      <td>True</td>\n",
+       "      <td>2.160056e+04</td>\n",
+       "      <td>VariableStar</td>\n",
+       "      <td>1.610340e+03</td>\n",
+       "      <td>1.000220e+04</td>\n",
+       "      <td>2.158470e+04</td>\n",
+       "      <td>2.929540e+04</td>\n",
+       "      <td>3.327900e+04</td>\n",
+       "      <td>3.600260e+04</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8</th>\n",
+       "      <td>31405695056</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>55.752186</td>\n",
+       "      <td>-32.444417</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>r</td>\n",
+       "      <td>-0.444933</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>164</td>\n",
+       "      <td>1196.692918</td>\n",
+       "      <td>3872.654195</td>\n",
+       "      <td>True</td>\n",
+       "      <td>4.864491e+02</td>\n",
+       "      <td>VariableStar</td>\n",
+       "      <td>2.008790e+01</td>\n",
+       "      <td>1.596340e+02</td>\n",
+       "      <td>4.868940e+02</td>\n",
+       "      <td>8.298590e+02</td>\n",
+       "      <td>1.079330e+03</td>\n",
+       "      <td>1.247760e+03</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>9</th>\n",
+       "      <td>31303591512</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>55.734631</td>\n",
+       "      <td>-32.405041</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>r</td>\n",
+       "      <td>-132.988546</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>164</td>\n",
+       "      <td>852.649018</td>\n",
+       "      <td>3197.680800</td>\n",
+       "      <td>True</td>\n",
+       "      <td>2.722911e+04</td>\n",
+       "      <td>VariableStar</td>\n",
+       "      <td>1.493160e+03</td>\n",
+       "      <td>1.155810e+04</td>\n",
+       "      <td>2.736210e+04</td>\n",
+       "      <td>3.862290e+04</td>\n",
+       "      <td>4.483290e+04</td>\n",
+       "      <td>4.926750e+04</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>10</th>\n",
+       "      <td>31405688188</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>55.737764</td>\n",
+       "      <td>-32.390812</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>r</td>\n",
+       "      <td>0.130878</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>164</td>\n",
+       "      <td>871.462585</td>\n",
+       "      <td>2937.706570</td>\n",
+       "      <td>True</td>\n",
+       "      <td>6.346588e+01</td>\n",
+       "      <td>VariableStar</td>\n",
+       "      <td>2.855800e+00</td>\n",
+       "      <td>2.280100e+01</td>\n",
+       "      <td>6.333500e+01</td>\n",
+       "      <td>9.960950e+01</td>\n",
+       "      <td>1.231740e+02</td>\n",
+       "      <td>1.384740e+02</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>11</th>\n",
+       "      <td>31500338795</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>55.766827</td>\n",
+       "      <td>-32.392674</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>r</td>\n",
+       "      <td>-0.648288</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>164</td>\n",
+       "      <td>1314.332807</td>\n",
+       "      <td>2921.816165</td>\n",
+       "      <td>True</td>\n",
+       "      <td>1.737707e+02</td>\n",
+       "      <td>VariableStar</td>\n",
+       "      <td>7.660850e+00</td>\n",
+       "      <td>5.974040e+01</td>\n",
+       "      <td>1.744190e+02</td>\n",
+       "      <td>2.862500e+02</td>\n",
+       "      <td>3.629400e+02</td>\n",
+       "      <td>4.130830e+02</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>12</th>\n",
+       "      <td>30830343662</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>55.732586</td>\n",
+       "      <td>-32.444870</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>r</td>\n",
+       "      <td>-143.654370</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>164</td>\n",
+       "      <td>901.616919</td>\n",
+       "      <td>3913.964822</td>\n",
+       "      <td>True</td>\n",
+       "      <td>2.033266e+06</td>\n",
+       "      <td>VariableStar</td>\n",
+       "      <td>2.180380e+05</td>\n",
+       "      <td>1.098920e+06</td>\n",
+       "      <td>2.033410e+06</td>\n",
+       "      <td>2.547450e+06</td>\n",
+       "      <td>2.770580e+06</td>\n",
+       "      <td>2.931950e+06</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>13</th>\n",
+       "      <td>31107745884</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>55.685606</td>\n",
+       "      <td>-32.420192</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>r</td>\n",
+       "      <td>-10.301233</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>164</td>\n",
+       "      <td>142.509477</td>\n",
+       "      <td>3552.138066</td>\n",
+       "      <td>True</td>\n",
+       "      <td>4.671520e+04</td>\n",
+       "      <td>VariableStar</td>\n",
+       "      <td>3.100960e+03</td>\n",
+       "      <td>2.090840e+04</td>\n",
+       "      <td>4.672550e+04</td>\n",
+       "      <td>6.436390e+04</td>\n",
+       "      <td>7.371800e+04</td>\n",
+       "      <td>8.022390e+04</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>14</th>\n",
+       "      <td>31411431456</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>55.846529</td>\n",
+       "      <td>-32.376424</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>r</td>\n",
+       "      <td>-2.156009</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>164</td>\n",
+       "      <td>2486.356546</td>\n",
+       "      <td>2496.590982</td>\n",
+       "      <td>True</td>\n",
+       "      <td>6.512670e+02</td>\n",
+       "      <td>VariableStar</td>\n",
+       "      <td>3.199410e+01</td>\n",
+       "      <td>2.428860e+02</td>\n",
+       "      <td>6.534230e+02</td>\n",
+       "      <td>1.008910e+03</td>\n",
+       "      <td>1.230680e+03</td>\n",
+       "      <td>1.370760e+03</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>15</th>\n",
+       "      <td>31405689453</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>55.861416</td>\n",
+       "      <td>-32.394664</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>r</td>\n",
+       "      <td>17.939392</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>164</td>\n",
+       "      <td>2747.546711</td>\n",
+       "      <td>2798.069955</td>\n",
+       "      <td>True</td>\n",
+       "      <td>2.238844e+04</td>\n",
+       "      <td>VariableStar</td>\n",
+       "      <td>8.630160e+03</td>\n",
+       "      <td>1.793070e+04</td>\n",
+       "      <td>2.237050e+04</td>\n",
+       "      <td>2.396540e+04</td>\n",
+       "      <td>2.412540e+04</td>\n",
+       "      <td>2.397640e+04</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>16</th>\n",
+       "      <td>31411433079</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>55.862970</td>\n",
+       "      <td>-32.390615</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>r</td>\n",
+       "      <td>-1.392454</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>164</td>\n",
+       "      <td>2762.987540</td>\n",
+       "      <td>2722.984203</td>\n",
+       "      <td>True</td>\n",
+       "      <td>2.376545e+02</td>\n",
+       "      <td>VariableStar</td>\n",
+       "      <td>1.117210e+01</td>\n",
+       "      <td>8.742660e+01</td>\n",
+       "      <td>2.390470e+02</td>\n",
+       "      <td>3.719980e+02</td>\n",
+       "      <td>4.555330e+02</td>\n",
+       "      <td>5.085620e+02</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>17</th>\n",
+       "      <td>31411434476</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>55.956987</td>\n",
+       "      <td>-32.399872</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>r</td>\n",
+       "      <td>-7.284593</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>164</td>\n",
+       "      <td>4201.976965</td>\n",
+       "      <td>2731.557380</td>\n",
+       "      <td>True</td>\n",
+       "      <td>2.068405e+03</td>\n",
+       "      <td>VariableStar</td>\n",
+       "      <td>6.202800e+02</td>\n",
+       "      <td>1.479880e+03</td>\n",
+       "      <td>2.075690e+03</td>\n",
+       "      <td>2.357660e+03</td>\n",
+       "      <td>2.450470e+03</td>\n",
+       "      <td>2.482340e+03</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>18</th>\n",
+       "      <td>31411435238</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>55.927944</td>\n",
+       "      <td>-32.409212</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>r</td>\n",
+       "      <td>0.462488</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>164</td>\n",
+       "      <td>3781.556686</td>\n",
+       "      <td>2947.145398</td>\n",
+       "      <td>True</td>\n",
+       "      <td>3.582225e+02</td>\n",
+       "      <td>VariableStar</td>\n",
+       "      <td>1.855470e+01</td>\n",
+       "      <td>1.427600e+02</td>\n",
+       "      <td>3.577600e+02</td>\n",
+       "      <td>5.246330e+02</td>\n",
+       "      <td>6.218840e+02</td>\n",
+       "      <td>6.865500e+02</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>19</th>\n",
+       "      <td>31405690039</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>55.932181</td>\n",
+       "      <td>-32.396247</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>r</td>\n",
+       "      <td>1.024173</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>164</td>\n",
+       "      <td>3819.990599</td>\n",
+       "      <td>2708.006091</td>\n",
+       "      <td>True</td>\n",
+       "      <td>1.402234e+03</td>\n",
+       "      <td>VariableStar</td>\n",
+       "      <td>1.958100e+02</td>\n",
+       "      <td>7.874760e+02</td>\n",
+       "      <td>1.401210e+03</td>\n",
+       "      <td>1.757310e+03</td>\n",
+       "      <td>1.922560e+03</td>\n",
+       "      <td>2.024140e+03</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>20</th>\n",
+       "      <td>31411435379</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>55.879466</td>\n",
+       "      <td>-32.412980</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>r</td>\n",
+       "      <td>19.051943</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>164</td>\n",
+       "      <td>3056.585028</td>\n",
+       "      <td>3095.639662</td>\n",
+       "      <td>True</td>\n",
+       "      <td>2.251395e+04</td>\n",
+       "      <td>VariableStar</td>\n",
+       "      <td>4.983580e+03</td>\n",
+       "      <td>1.444490e+04</td>\n",
+       "      <td>2.249490e+04</td>\n",
+       "      <td>2.642930e+04</td>\n",
+       "      <td>2.787820e+04</td>\n",
+       "      <td>2.869730e+04</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>21</th>\n",
+       "      <td>31405689834</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>55.890474</td>\n",
+       "      <td>-32.396386</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>r</td>\n",
+       "      <td>-1.381235</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>164</td>\n",
+       "      <td>3190.039508</td>\n",
+       "      <td>2780.185372</td>\n",
+       "      <td>True</td>\n",
+       "      <td>3.855879e+03</td>\n",
+       "      <td>VariableStar</td>\n",
+       "      <td>2.109140e+02</td>\n",
+       "      <td>1.630710e+03</td>\n",
+       "      <td>3.857260e+03</td>\n",
+       "      <td>5.441410e+03</td>\n",
+       "      <td>6.313410e+03</td>\n",
+       "      <td>6.936080e+03</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>22</th>\n",
+       "      <td>31405689317</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>55.915417</td>\n",
+       "      <td>-32.390858</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>r</td>\n",
+       "      <td>21.603462</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>164</td>\n",
+       "      <td>3556.024267</td>\n",
+       "      <td>2639.535475</td>\n",
+       "      <td>True</td>\n",
+       "      <td>1.005042e+03</td>\n",
+       "      <td>VariableStar</td>\n",
+       "      <td>3.969580e+01</td>\n",
+       "      <td>3.286050e+02</td>\n",
+       "      <td>9.834390e+02</td>\n",
+       "      <td>1.626890e+03</td>\n",
+       "      <td>2.065900e+03</td>\n",
+       "      <td>2.349540e+03</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>23</th>\n",
+       "      <td>31500344305</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>55.926018</td>\n",
+       "      <td>-32.469472</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>r</td>\n",
+       "      <td>-7.292544</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>164</td>\n",
+       "      <td>3871.392014</td>\n",
+       "      <td>4029.025066</td>\n",
+       "      <td>True</td>\n",
+       "      <td>2.378437e+03</td>\n",
+       "      <td>VariableStar</td>\n",
+       "      <td>1.183150e+02</td>\n",
+       "      <td>9.392150e+02</td>\n",
+       "      <td>2.385730e+03</td>\n",
+       "      <td>3.519760e+03</td>\n",
+       "      <td>4.185160e+03</td>\n",
+       "      <td>4.630940e+03</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>24</th>\n",
+       "      <td>31405699573</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>55.933211</td>\n",
+       "      <td>-32.471492</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>r</td>\n",
+       "      <td>2.612661</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>164</td>\n",
+       "      <td>3983.971936</td>\n",
+       "      <td>4053.199098</td>\n",
+       "      <td>True</td>\n",
+       "      <td>1.739297e+02</td>\n",
+       "      <td>VariableStar</td>\n",
+       "      <td>7.133320e+00</td>\n",
+       "      <td>5.839960e+01</td>\n",
+       "      <td>1.713170e+02</td>\n",
+       "      <td>2.787110e+02</td>\n",
+       "      <td>3.498140e+02</td>\n",
+       "      <td>3.946370e+02</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>25</th>\n",
+       "      <td>31411441806</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>55.953729</td>\n",
+       "      <td>-32.468884</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>r</td>\n",
+       "      <td>-0.412228</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>164</td>\n",
+       "      <td>4288.636806</td>\n",
+       "      <td>3972.338240</td>\n",
+       "      <td>True</td>\n",
+       "      <td>1.438908e+02</td>\n",
+       "      <td>VariableStar</td>\n",
+       "      <td>5.926580e+00</td>\n",
+       "      <td>4.834450e+01</td>\n",
+       "      <td>1.443030e+02</td>\n",
+       "      <td>2.387110e+02</td>\n",
+       "      <td>3.031650e+02</td>\n",
+       "      <td>3.446650e+02</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>26</th>\n",
+       "      <td>31411440060</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>55.946981</td>\n",
+       "      <td>-32.453107</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>r</td>\n",
+       "      <td>-5.231881</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>164</td>\n",
+       "      <td>4155.664179</td>\n",
+       "      <td>3701.145919</td>\n",
+       "      <td>True</td>\n",
+       "      <td>3.086328e+03</td>\n",
+       "      <td>VariableStar</td>\n",
+       "      <td>2.877930e+02</td>\n",
+       "      <td>1.539650e+03</td>\n",
+       "      <td>3.091560e+03</td>\n",
+       "      <td>4.065550e+03</td>\n",
+       "      <td>4.544830e+03</td>\n",
+       "      <td>4.860450e+03</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>27</th>\n",
+       "      <td>31411436869</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>55.959573</td>\n",
+       "      <td>-32.423007</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>r</td>\n",
+       "      <td>-0.677646</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>164</td>\n",
+       "      <td>4286.583273</td>\n",
+       "      <td>3141.380969</td>\n",
+       "      <td>True</td>\n",
+       "      <td>3.125744e+02</td>\n",
+       "      <td>VariableStar</td>\n",
+       "      <td>3.523660e+01</td>\n",
+       "      <td>1.671760e+02</td>\n",
+       "      <td>3.132520e+02</td>\n",
+       "      <td>3.970430e+02</td>\n",
+       "      <td>4.371350e+02</td>\n",
+       "      <td>4.664090e+02</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>28</th>\n",
+       "      <td>31405687067</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>55.843104</td>\n",
+       "      <td>-32.376660</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>r</td>\n",
+       "      <td>22.786960</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>164</td>\n",
+       "      <td>2435.060539</td>\n",
+       "      <td>2506.567988</td>\n",
+       "      <td>True</td>\n",
+       "      <td>4.930027e+03</td>\n",
+       "      <td>VariableStar</td>\n",
+       "      <td>1.514850e+03</td>\n",
+       "      <td>3.560600e+03</td>\n",
+       "      <td>4.907240e+03</td>\n",
+       "      <td>5.493990e+03</td>\n",
+       "      <td>5.646330e+03</td>\n",
+       "      <td>5.690150e+03</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>29</th>\n",
+       "      <td>31411433059</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>55.845564</td>\n",
+       "      <td>-32.391282</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>r</td>\n",
+       "      <td>-0.230734</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>164</td>\n",
+       "      <td>2501.299612</td>\n",
+       "      <td>2764.150433</td>\n",
+       "      <td>True</td>\n",
+       "      <td>9.885987e+01</td>\n",
+       "      <td>VariableStar</td>\n",
+       "      <td>5.132290e+00</td>\n",
+       "      <td>3.951910e+01</td>\n",
+       "      <td>9.909060e+01</td>\n",
+       "      <td>1.453690e+02</td>\n",
+       "      <td>1.723700e+02</td>\n",
+       "      <td>1.903270e+02</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>30</th>\n",
+       "      <td>31411433171</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>55.837128</td>\n",
+       "      <td>-32.392919</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>r</td>\n",
+       "      <td>0.271971</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>164</td>\n",
+       "      <td>2377.076816</td>\n",
+       "      <td>2807.625475</td>\n",
+       "      <td>True</td>\n",
+       "      <td>3.267230e+02</td>\n",
+       "      <td>VariableStar</td>\n",
+       "      <td>2.256830e+01</td>\n",
+       "      <td>1.478970e+02</td>\n",
+       "      <td>3.264510e+02</td>\n",
+       "      <td>4.472290e+02</td>\n",
+       "      <td>5.106220e+02</td>\n",
+       "      <td>5.544650e+02</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>31</th>\n",
+       "      <td>31411439873</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>55.787669</td>\n",
+       "      <td>-32.459461</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>r</td>\n",
+       "      <td>-1.428530</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>164</td>\n",
+       "      <td>1762.565429</td>\n",
+       "      <td>4081.936329</td>\n",
+       "      <td>True</td>\n",
+       "      <td>3.420925e+02</td>\n",
+       "      <td>VariableStar</td>\n",
+       "      <td>1.859570e+01</td>\n",
+       "      <td>1.388400e+02</td>\n",
+       "      <td>3.435210e+02</td>\n",
+       "      <td>5.009940e+02</td>\n",
+       "      <td>5.922740e+02</td>\n",
+       "      <td>6.525260e+02</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>32</th>\n",
+       "      <td>31411437889</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>55.810828</td>\n",
+       "      <td>-32.439987</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>r</td>\n",
+       "      <td>-71.276272</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>164</td>\n",
+       "      <td>2073.453176</td>\n",
+       "      <td>3694.328363</td>\n",
+       "      <td>True</td>\n",
+       "      <td>1.182197e+05</td>\n",
+       "      <td>VariableStar</td>\n",
+       "      <td>4.196750e+04</td>\n",
+       "      <td>8.952340e+04</td>\n",
+       "      <td>1.182910e+05</td>\n",
+       "      <td>1.307660e+05</td>\n",
+       "      <td>1.338770e+05</td>\n",
+       "      <td>1.341260e+05</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>33</th>\n",
+       "      <td>31411437836</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>55.802368</td>\n",
+       "      <td>-32.439891</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>r</td>\n",
+       "      <td>-0.190598</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>164</td>\n",
+       "      <td>1945.491513</td>\n",
+       "      <td>3706.870496</td>\n",
+       "      <td>True</td>\n",
+       "      <td>2.287984e+02</td>\n",
+       "      <td>VariableStar</td>\n",
+       "      <td>1.486480e+01</td>\n",
+       "      <td>9.816480e+01</td>\n",
+       "      <td>2.289890e+02</td>\n",
+       "      <td>3.254240e+02</td>\n",
+       "      <td>3.794150e+02</td>\n",
+       "      <td>4.143250e+02</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>34</th>\n",
+       "      <td>31411439894</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>55.908861</td>\n",
+       "      <td>-32.453742</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>r</td>\n",
+       "      <td>1.054786</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>164</td>\n",
+       "      <td>3581.242170</td>\n",
+       "      <td>3776.093632</td>\n",
+       "      <td>True</td>\n",
+       "      <td>7.254088e+02</td>\n",
+       "      <td>VariableStar</td>\n",
+       "      <td>1.196800e+02</td>\n",
+       "      <td>4.369770e+02</td>\n",
+       "      <td>7.243540e+02</td>\n",
+       "      <td>8.718570e+02</td>\n",
+       "      <td>9.313410e+02</td>\n",
+       "      <td>9.702590e+02</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>35</th>\n",
+       "      <td>31500343398</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>55.890708</td>\n",
+       "      <td>-32.457614</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>r</td>\n",
+       "      <td>-0.249895</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>164</td>\n",
+       "      <td>3314.767703</td>\n",
+       "      <td>3875.758516</td>\n",
+       "      <td>True</td>\n",
+       "      <td>2.173571e+02</td>\n",
+       "      <td>VariableStar</td>\n",
+       "      <td>1.143810e+01</td>\n",
+       "      <td>9.094090e+01</td>\n",
+       "      <td>2.176070e+02</td>\n",
+       "      <td>3.084900e+02</td>\n",
+       "      <td>3.588930e+02</td>\n",
+       "      <td>3.950650e+02</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>36</th>\n",
+       "      <td>31411438984</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>55.896820</td>\n",
+       "      <td>-32.445671</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>r</td>\n",
+       "      <td>1.244017</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>164</td>\n",
+       "      <td>3383.443232</td>\n",
+       "      <td>3651.751804</td>\n",
+       "      <td>True</td>\n",
+       "      <td>1.374574e+03</td>\n",
+       "      <td>VariableStar</td>\n",
+       "      <td>6.125970e+01</td>\n",
+       "      <td>4.941990e+02</td>\n",
+       "      <td>1.373330e+03</td>\n",
+       "      <td>2.153890e+03</td>\n",
+       "      <td>2.647790e+03</td>\n",
+       "      <td>2.962870e+03</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>37</th>\n",
+       "      <td>31405691981</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>55.838388</td>\n",
+       "      <td>-32.416365</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>r</td>\n",
+       "      <td>304.331736</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>164</td>\n",
+       "      <td>2442.723122</td>\n",
+       "      <td>3225.167375</td>\n",
+       "      <td>True</td>\n",
+       "      <td>1.517193e+05</td>\n",
+       "      <td>VariableStar</td>\n",
+       "      <td>3.551340e+04</td>\n",
+       "      <td>9.952870e+04</td>\n",
+       "      <td>1.514150e+05</td>\n",
+       "      <td>1.798810e+05</td>\n",
+       "      <td>1.930510e+05</td>\n",
+       "      <td>1.986060e+05</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>38</th>\n",
+       "      <td>31500341979</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>55.822515</td>\n",
+       "      <td>-32.439874</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>r</td>\n",
+       "      <td>0.031564</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>164</td>\n",
+       "      <td>2249.731723</td>\n",
+       "      <td>3672.642701</td>\n",
+       "      <td>True</td>\n",
+       "      <td>1.028206e+02</td>\n",
+       "      <td>VariableStar</td>\n",
+       "      <td>4.163990e+00</td>\n",
+       "      <td>3.577200e+01</td>\n",
+       "      <td>1.027890e+02</td>\n",
+       "      <td>1.638840e+02</td>\n",
+       "      <td>2.031530e+02</td>\n",
+       "      <td>2.284620e+02</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>39</th>\n",
+       "      <td>31405677272</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>55.728531</td>\n",
+       "      <td>-32.302963</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>r</td>\n",
+       "      <td>21.249020</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>164</td>\n",
+       "      <td>555.763554</td>\n",
+       "      <td>1381.218751</td>\n",
+       "      <td>True</td>\n",
+       "      <td>7.812199e+03</td>\n",
+       "      <td>VariableStar</td>\n",
+       "      <td>1.615540e+03</td>\n",
+       "      <td>5.026170e+03</td>\n",
+       "      <td>7.790950e+03</td>\n",
+       "      <td>9.121350e+03</td>\n",
+       "      <td>9.601040e+03</td>\n",
+       "      <td>9.886890e+03</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>40</th>\n",
+       "      <td>31411422848</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>55.755820</td>\n",
+       "      <td>-32.298574</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>r</td>\n",
+       "      <td>-14.479009</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>164</td>\n",
+       "      <td>959.694901</td>\n",
+       "      <td>1256.370914</td>\n",
+       "      <td>True</td>\n",
+       "      <td>2.998271e+03</td>\n",
+       "      <td>VariableStar</td>\n",
+       "      <td>1.502290e+02</td>\n",
+       "      <td>1.151420e+03</td>\n",
+       "      <td>3.012750e+03</td>\n",
+       "      <td>4.556330e+03</td>\n",
+       "      <td>5.492220e+03</td>\n",
+       "      <td>6.095690e+03</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>41</th>\n",
+       "      <td>31405684392</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>55.739303</td>\n",
+       "      <td>-32.360498</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>r</td>\n",
+       "      <td>-22.874243</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>164</td>\n",
+       "      <td>833.968796</td>\n",
+       "      <td>2392.575931</td>\n",
+       "      <td>True</td>\n",
+       "      <td>1.334816e+03</td>\n",
+       "      <td>VariableStar</td>\n",
+       "      <td>2.067060e+02</td>\n",
+       "      <td>7.876460e+02</td>\n",
+       "      <td>1.357690e+03</td>\n",
+       "      <td>1.678640e+03</td>\n",
+       "      <td>1.823920e+03</td>\n",
+       "      <td>1.910990e+03</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>42</th>\n",
+       "      <td>31411429222</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>55.712634</td>\n",
+       "      <td>-32.363318</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>r</td>\n",
+       "      <td>-0.074621</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>164</td>\n",
+       "      <td>436.534738</td>\n",
+       "      <td>2488.320444</td>\n",
+       "      <td>True</td>\n",
+       "      <td>6.211648e+01</td>\n",
+       "      <td>VariableStar</td>\n",
+       "      <td>2.519000e+00</td>\n",
+       "      <td>2.061660e+01</td>\n",
+       "      <td>6.219110e+01</td>\n",
+       "      <td>1.039810e+02</td>\n",
+       "      <td>1.331370e+02</td>\n",
+       "      <td>1.523230e+02</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>43</th>\n",
+       "      <td>31411427628</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>55.742855</td>\n",
+       "      <td>-32.346595</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>r</td>\n",
+       "      <td>0.107577</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>164</td>\n",
+       "      <td>859.804856</td>\n",
+       "      <td>2137.753959</td>\n",
+       "      <td>True</td>\n",
+       "      <td>7.207778e+01</td>\n",
+       "      <td>VariableStar</td>\n",
+       "      <td>2.871200e+00</td>\n",
+       "      <td>2.365980e+01</td>\n",
+       "      <td>7.197020e+01</td>\n",
+       "      <td>1.213270e+02</td>\n",
+       "      <td>1.563540e+02</td>\n",
+       "      <td>1.798250e+02</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>44</th>\n",
+       "      <td>31411417626</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>55.729487</td>\n",
+       "      <td>-32.249257</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>r</td>\n",
+       "      <td>1.996145</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>164</td>\n",
+       "      <td>462.522152</td>\n",
+       "      <td>418.519310</td>\n",
+       "      <td>True</td>\n",
+       "      <td>2.662626e+03</td>\n",
+       "      <td>VariableStar</td>\n",
+       "      <td>1.004500e+03</td>\n",
+       "      <td>2.052990e+03</td>\n",
+       "      <td>2.660630e+03</td>\n",
+       "      <td>2.907240e+03</td>\n",
+       "      <td>2.950960e+03</td>\n",
+       "      <td>2.940350e+03</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>45</th>\n",
+       "      <td>31411419490</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>55.723111</td>\n",
+       "      <td>-32.267330</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>r</td>\n",
+       "      <td>0.431967</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>164</td>\n",
+       "      <td>402.304517</td>\n",
+       "      <td>752.766253</td>\n",
+       "      <td>True</td>\n",
+       "      <td>3.963757e+01</td>\n",
+       "      <td>VariableStar</td>\n",
+       "      <td>1.610350e+00</td>\n",
+       "      <td>1.294560e+01</td>\n",
+       "      <td>3.920560e+01</td>\n",
+       "      <td>6.640600e+01</td>\n",
+       "      <td>8.612880e+01</td>\n",
+       "      <td>9.954170e+01</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>46</th>\n",
+       "      <td>31411420922</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>55.701453</td>\n",
+       "      <td>-32.282580</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>r</td>\n",
+       "      <td>-3.985256</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>164</td>\n",
+       "      <td>105.270264</td>\n",
+       "      <td>1062.506932</td>\n",
+       "      <td>True</td>\n",
+       "      <td>6.626087e+02</td>\n",
+       "      <td>VariableStar</td>\n",
+       "      <td>2.837630e+02</td>\n",
+       "      <td>5.407520e+02</td>\n",
+       "      <td>6.665940e+02</td>\n",
+       "      <td>7.060360e+02</td>\n",
+       "      <td>7.006860e+02</td>\n",
+       "      <td>6.885000e+02</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>47</th>\n",
+       "      <td>31500333496</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>55.861193</td>\n",
+       "      <td>-32.306093</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>r</td>\n",
+       "      <td>-5.970113</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>164</td>\n",
+       "      <td>2568.436056</td>\n",
+       "      <td>1213.183987</td>\n",
+       "      <td>True</td>\n",
+       "      <td>3.370130e+03</td>\n",
+       "      <td>VariableStar</td>\n",
+       "      <td>3.886510e+02</td>\n",
+       "      <td>1.812880e+03</td>\n",
+       "      <td>3.376100e+03</td>\n",
+       "      <td>4.269890e+03</td>\n",
+       "      <td>4.694880e+03</td>\n",
+       "      <td>5.002920e+03</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>48</th>\n",
+       "      <td>31411427874</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>55.943414</td>\n",
+       "      <td>-32.338642</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>r</td>\n",
+       "      <td>37.739635</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>164</td>\n",
+       "      <td>3876.205833</td>\n",
+       "      <td>1658.173338</td>\n",
+       "      <td>True</td>\n",
+       "      <td>7.784510e+03</td>\n",
+       "      <td>VariableStar</td>\n",
+       "      <td>3.762600e+02</td>\n",
+       "      <td>3.163970e+03</td>\n",
+       "      <td>7.746770e+03</td>\n",
+       "      <td>1.109010e+04</td>\n",
+       "      <td>1.297130e+04</td>\n",
+       "      <td>1.433460e+04</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>49</th>\n",
+       "      <td>31411422491</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>55.882983</td>\n",
+       "      <td>-32.288284</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>r</td>\n",
+       "      <td>-0.470866</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>164</td>\n",
+       "      <td>2862.751243</td>\n",
+       "      <td>857.870493</td>\n",
+       "      <td>True</td>\n",
+       "      <td>1.314861e+02</td>\n",
+       "      <td>VariableStar</td>\n",
+       "      <td>5.446070e+00</td>\n",
+       "      <td>4.326990e+01</td>\n",
+       "      <td>1.319570e+02</td>\n",
+       "      <td>2.248820e+02</td>\n",
+       "      <td>2.924640e+02</td>\n",
+       "      <td>3.380870e+02</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>50</th>\n",
+       "      <td>31500331386</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>55.888395</td>\n",
+       "      <td>-32.271442</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>r</td>\n",
+       "      <td>-0.079125</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>164</td>\n",
+       "      <td>2911.285574</td>\n",
+       "      <td>547.375533</td>\n",
+       "      <td>True</td>\n",
+       "      <td>1.207729e+02</td>\n",
+       "      <td>VariableStar</td>\n",
+       "      <td>4.943870e+00</td>\n",
+       "      <td>4.042260e+01</td>\n",
+       "      <td>1.208520e+02</td>\n",
+       "      <td>2.001540e+02</td>\n",
+       "      <td>2.544260e+02</td>\n",
+       "      <td>2.894040e+02</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>51</th>\n",
+       "      <td>31411423360</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>55.919947</td>\n",
+       "      <td>-32.295270</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>r</td>\n",
+       "      <td>1.144773</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>164</td>\n",
+       "      <td>3435.744943</td>\n",
+       "      <td>921.041610</td>\n",
+       "      <td>True</td>\n",
+       "      <td>2.290738e+02</td>\n",
+       "      <td>VariableStar</td>\n",
+       "      <td>9.690530e+00</td>\n",
+       "      <td>8.066300e+01</td>\n",
+       "      <td>2.279290e+02</td>\n",
+       "      <td>3.604170e+02</td>\n",
+       "      <td>4.449090e+02</td>\n",
+       "      <td>4.990880e+02</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>52</th>\n",
+       "      <td>31411425201</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>55.917385</td>\n",
+       "      <td>-32.313623</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>r</td>\n",
+       "      <td>-0.154823</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>164</td>\n",
+       "      <td>3433.225154</td>\n",
+       "      <td>1253.802946</td>\n",
+       "      <td>True</td>\n",
+       "      <td>1.226222e+02</td>\n",
+       "      <td>VariableStar</td>\n",
+       "      <td>5.842710e+00</td>\n",
+       "      <td>4.620180e+01</td>\n",
+       "      <td>1.227770e+02</td>\n",
+       "      <td>1.870210e+02</td>\n",
+       "      <td>2.262400e+02</td>\n",
+       "      <td>2.516680e+02</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>53</th>\n",
+       "      <td>31102012493</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>55.911107</td>\n",
+       "      <td>-32.306644</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>r</td>\n",
+       "      <td>-673.622399</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>164</td>\n",
+       "      <td>3324.488995</td>\n",
+       "      <td>1139.394202</td>\n",
+       "      <td>True</td>\n",
+       "      <td>6.545048e+04</td>\n",
+       "      <td>VariableStar</td>\n",
+       "      <td>5.850730e+03</td>\n",
+       "      <td>3.363810e+04</td>\n",
+       "      <td>6.612410e+04</td>\n",
+       "      <td>8.493040e+04</td>\n",
+       "      <td>9.349000e+04</td>\n",
+       "      <td>9.994630e+04</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>54</th>\n",
+       "      <td>31411426910</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>55.900401</td>\n",
+       "      <td>-32.331192</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>r</td>\n",
+       "      <td>0.325892</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>164</td>\n",
+       "      <td>3211.113289</td>\n",
+       "      <td>1596.679162</td>\n",
+       "      <td>True</td>\n",
+       "      <td>3.262739e+02</td>\n",
+       "      <td>VariableStar</td>\n",
+       "      <td>1.367130e+01</td>\n",
+       "      <td>1.089990e+02</td>\n",
+       "      <td>3.259480e+02</td>\n",
+       "      <td>5.447780e+02</td>\n",
+       "      <td>6.989660e+02</td>\n",
+       "      <td>8.017770e+02</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>55</th>\n",
+       "      <td>31411425954</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>55.917176</td>\n",
+       "      <td>-32.321103</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>r</td>\n",
+       "      <td>1217.174376</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>164</td>\n",
+       "      <td>3444.839292</td>\n",
+       "      <td>1388.042732</td>\n",
+       "      <td>True</td>\n",
+       "      <td>9.867412e+05</td>\n",
+       "      <td>VariableStar</td>\n",
+       "      <td>3.923480e+05</td>\n",
+       "      <td>8.033380e+05</td>\n",
+       "      <td>9.855240e+05</td>\n",
+       "      <td>1.042120e+06</td>\n",
+       "      <td>1.037410e+06</td>\n",
+       "      <td>1.025660e+06</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>56</th>\n",
+       "      <td>31405680808</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>55.906242</td>\n",
+       "      <td>-32.323183</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>r</td>\n",
+       "      <td>-3.761985</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>164</td>\n",
+       "      <td>3283.592431</td>\n",
+       "      <td>1443.552802</td>\n",
+       "      <td>True</td>\n",
+       "      <td>9.632190e+02</td>\n",
+       "      <td>VariableStar</td>\n",
+       "      <td>3.921880e+01</td>\n",
+       "      <td>3.366850e+02</td>\n",
+       "      <td>9.669810e+02</td>\n",
+       "      <td>1.541170e+03</td>\n",
+       "      <td>1.909940e+03</td>\n",
+       "      <td>2.147550e+03</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>57</th>\n",
+       "      <td>31411419091</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>55.952314</td>\n",
+       "      <td>-32.251002</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>r</td>\n",
+       "      <td>-0.067355</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>164</td>\n",
+       "      <td>3838.206434</td>\n",
+       "      <td>74.684042</td>\n",
+       "      <td>True</td>\n",
+       "      <td>7.914194e+01</td>\n",
+       "      <td>VariableStar</td>\n",
+       "      <td>3.341660e+00</td>\n",
+       "      <td>2.682050e+01</td>\n",
+       "      <td>7.920930e+01</td>\n",
+       "      <td>1.294150e+02</td>\n",
+       "      <td>1.630300e+02</td>\n",
+       "      <td>1.841280e+02</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>58</th>\n",
+       "      <td>31411420881</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>55.962893</td>\n",
+       "      <td>-32.268407</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>r</td>\n",
+       "      <td>-0.007502</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>164</td>\n",
+       "      <td>4032.559693</td>\n",
+       "      <td>368.566051</td>\n",
+       "      <td>True</td>\n",
+       "      <td>1.153152e+03</td>\n",
+       "      <td>VariableStar</td>\n",
+       "      <td>7.199080e+01</td>\n",
+       "      <td>4.880680e+02</td>\n",
+       "      <td>1.153160e+03</td>\n",
+       "      <td>1.647870e+03</td>\n",
+       "      <td>1.926920e+03</td>\n",
+       "      <td>2.108110e+03</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>59</th>\n",
+       "      <td>31405682947</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>55.820947</td>\n",
+       "      <td>-32.345129</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>r</td>\n",
+       "      <td>-1.853721</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>164</td>\n",
+       "      <td>2037.443093</td>\n",
+       "      <td>1979.524312</td>\n",
+       "      <td>True</td>\n",
+       "      <td>7.569483e+02</td>\n",
+       "      <td>VariableStar</td>\n",
+       "      <td>7.043230e+01</td>\n",
+       "      <td>3.774270e+02</td>\n",
+       "      <td>7.588020e+02</td>\n",
+       "      <td>9.987480e+02</td>\n",
+       "      <td>1.117240e+03</td>\n",
+       "      <td>1.195280e+03</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>60</th>\n",
+       "      <td>31500334199</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>55.797823</td>\n",
+       "      <td>-32.320015</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>r</td>\n",
+       "      <td>-5.463296</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>164</td>\n",
+       "      <td>1637.759965</td>\n",
+       "      <td>1569.051160</td>\n",
+       "      <td>True</td>\n",
+       "      <td>6.282417e+02</td>\n",
+       "      <td>VariableStar</td>\n",
+       "      <td>2.738220e+01</td>\n",
+       "      <td>2.309470e+02</td>\n",
+       "      <td>6.337050e+02</td>\n",
+       "      <td>9.800630e+02</td>\n",
+       "      <td>1.194770e+03</td>\n",
+       "      <td>1.335560e+03</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>61</th>\n",
+       "      <td>31102012281</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>55.808410</td>\n",
+       "      <td>-32.302038</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>r</td>\n",
+       "      <td>24.183589</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>164</td>\n",
+       "      <td>1762.044192</td>\n",
+       "      <td>1229.447333</td>\n",
+       "      <td>True</td>\n",
+       "      <td>7.024828e+04</td>\n",
+       "      <td>VariableStar</td>\n",
+       "      <td>6.944730e+03</td>\n",
+       "      <td>3.649620e+04</td>\n",
+       "      <td>7.022410e+04</td>\n",
+       "      <td>8.974330e+04</td>\n",
+       "      <td>9.892880e+04</td>\n",
+       "      <td>1.057880e+05</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>62</th>\n",
+       "      <td>31411417475</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>55.813107</td>\n",
+       "      <td>-32.243519</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>r</td>\n",
+       "      <td>-0.027428</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>164</td>\n",
+       "      <td>1716.525051</td>\n",
+       "      <td>174.240290</td>\n",
+       "      <td>True</td>\n",
+       "      <td>3.214096e+02</td>\n",
+       "      <td>VariableStar</td>\n",
+       "      <td>2.152330e+01</td>\n",
+       "      <td>1.435740e+02</td>\n",
+       "      <td>3.214370e+02</td>\n",
+       "      <td>4.448450e+02</td>\n",
+       "      <td>5.140990e+02</td>\n",
+       "      <td>5.635850e+02</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>63</th>\n",
+       "      <td>31411418748</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>55.758807</td>\n",
+       "      <td>-32.257996</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>r</td>\n",
+       "      <td>0.026276</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>164</td>\n",
+       "      <td>923.701512</td>\n",
+       "      <td>525.143212</td>\n",
+       "      <td>True</td>\n",
+       "      <td>5.347718e+01</td>\n",
+       "      <td>VariableStar</td>\n",
+       "      <td>2.792990e+00</td>\n",
+       "      <td>2.074870e+01</td>\n",
+       "      <td>5.345090e+01</td>\n",
+       "      <td>8.025360e+01</td>\n",
+       "      <td>9.638990e+01</td>\n",
+       "      <td>1.067360e+02</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>64</th>\n",
+       "      <td>31411420609</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>55.776831</td>\n",
+       "      <td>-32.275624</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>r</td>\n",
+       "      <td>-10.549919</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>164</td>\n",
+       "      <td>1231.653640</td>\n",
+       "      <td>810.087100</td>\n",
+       "      <td>True</td>\n",
+       "      <td>7.533190e+03</td>\n",
+       "      <td>VariableStar</td>\n",
+       "      <td>1.394510e+03</td>\n",
+       "      <td>4.652580e+03</td>\n",
+       "      <td>7.543740e+03</td>\n",
+       "      <td>9.009580e+03</td>\n",
+       "      <td>9.589650e+03</td>\n",
+       "      <td>9.955560e+03</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>65</th>\n",
+       "      <td>31411420975</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>55.775825</td>\n",
+       "      <td>-32.279179</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>r</td>\n",
+       "      <td>7.746586</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>164</td>\n",
+       "      <td>1223.531400</td>\n",
+       "      <td>875.420839</td>\n",
+       "      <td>True</td>\n",
+       "      <td>8.927016e+02</td>\n",
+       "      <td>VariableStar</td>\n",
+       "      <td>4.581000e+01</td>\n",
+       "      <td>3.528560e+02</td>\n",
+       "      <td>8.849550e+02</td>\n",
+       "      <td>1.298480e+03</td>\n",
+       "      <td>1.539840e+03</td>\n",
+       "      <td>1.700390e+03</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>66</th>\n",
+       "      <td>30321355767</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>55.790356</td>\n",
+       "      <td>-32.270034</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>r</td>\n",
+       "      <td>-7207.912209</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>164</td>\n",
+       "      <td>1425.112941</td>\n",
+       "      <td>687.183875</td>\n",
+       "      <td>True</td>\n",
+       "      <td>2.034032e+06</td>\n",
+       "      <td>VariableStar</td>\n",
+       "      <td>2.871830e+05</td>\n",
+       "      <td>1.214020e+06</td>\n",
+       "      <td>2.041240e+06</td>\n",
+       "      <td>2.452630e+06</td>\n",
+       "      <td>2.620000e+06</td>\n",
+       "      <td>2.732900e+06</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>67</th>\n",
+       "      <td>31405673531</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>55.762365</td>\n",
+       "      <td>-32.269246</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>r</td>\n",
+       "      <td>-1.962186</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>164</td>\n",
+       "      <td>1000.040064</td>\n",
+       "      <td>720.443675</td>\n",
+       "      <td>True</td>\n",
+       "      <td>3.484558e+02</td>\n",
+       "      <td>VariableStar</td>\n",
+       "      <td>1.941180e+01</td>\n",
+       "      <td>1.426360e+02</td>\n",
+       "      <td>3.504180e+02</td>\n",
+       "      <td>5.093890e+02</td>\n",
+       "      <td>6.011580e+02</td>\n",
+       "      <td>6.614890e+02</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>68</th>\n",
+       "      <td>31411419399</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>55.816679</td>\n",
+       "      <td>-32.261316</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>r</td>\n",
+       "      <td>183.368650</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>164</td>\n",
+       "      <td>1806.021193</td>\n",
+       "      <td>486.731664</td>\n",
+       "      <td>True</td>\n",
+       "      <td>3.666887e+04</td>\n",
+       "      <td>VariableStar</td>\n",
+       "      <td>9.874980e+03</td>\n",
+       "      <td>2.521870e+04</td>\n",
+       "      <td>3.648550e+04</td>\n",
+       "      <td>4.184840e+04</td>\n",
+       "      <td>4.365380e+04</td>\n",
+       "      <td>4.443380e+04</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>69</th>\n",
+       "      <td>30830343259</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>55.792213</td>\n",
+       "      <td>-32.292349</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>r</td>\n",
+       "      <td>-1869.438283</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>164</td>\n",
+       "      <td>1497.736883</td>\n",
+       "      <td>1083.393236</td>\n",
+       "      <td>True</td>\n",
+       "      <td>5.412531e+06</td>\n",
+       "      <td>VariableStar</td>\n",
+       "      <td>1.102550e+06</td>\n",
+       "      <td>3.529840e+06</td>\n",
+       "      <td>5.414400e+06</td>\n",
+       "      <td>6.344200e+06</td>\n",
+       "      <td>6.723090e+06</td>\n",
+       "      <td>6.918610e+06</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>70</th>\n",
+       "      <td>31411422664</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>55.795710</td>\n",
+       "      <td>-32.294633</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>r</td>\n",
+       "      <td>11.366924</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>164</td>\n",
+       "      <td>1555.189024</td>\n",
+       "      <td>1118.370744</td>\n",
+       "      <td>True</td>\n",
+       "      <td>7.443017e+03</td>\n",
+       "      <td>VariableStar</td>\n",
+       "      <td>2.133050e+03</td>\n",
+       "      <td>5.315280e+03</td>\n",
+       "      <td>7.431650e+03</td>\n",
+       "      <td>8.422140e+03</td>\n",
+       "      <td>8.762410e+03</td>\n",
+       "      <td>8.885190e+03</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>71</th>\n",
+       "      <td>31411420662</td>\n",
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+       "      <td>55.834413</td>\n",
+       "      <td>-32.273100</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>982985</td>\n",
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+       "      <td>r</td>\n",
+       "      <td>-115.410143</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>164</td>\n",
+       "      <td>2097.799549</td>\n",
+       "      <td>667.741448</td>\n",
+       "      <td>True</td>\n",
+       "      <td>4.103149e+04</td>\n",
+       "      <td>VariableStar</td>\n",
+       "      <td>3.760660e+03</td>\n",
+       "      <td>2.007590e+04</td>\n",
+       "      <td>4.114690e+04</td>\n",
+       "      <td>5.482920e+04</td>\n",
+       "      <td>6.196090e+04</td>\n",
+       "      <td>6.678670e+04</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>72</th>\n",
+       "      <td>31411420425</td>\n",
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+       "      <td>-32.271713</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>982985</td>\n",
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+       "      <td>r</td>\n",
+       "      <td>166.295041</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>164</td>\n",
+       "      <td>1857.348685</td>\n",
+       "      <td>669.379301</td>\n",
+       "      <td>True</td>\n",
+       "      <td>1.757475e+03</td>\n",
+       "      <td>VariableStar</td>\n",
+       "      <td>7.864590e+01</td>\n",
+       "      <td>6.255460e+02</td>\n",
+       "      <td>1.591180e+03</td>\n",
+       "      <td>2.349910e+03</td>\n",
+       "      <td>2.796330e+03</td>\n",
+       "      <td>3.095530e+03</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>73</th>\n",
+       "      <td>31411420361</td>\n",
+       "      <td>NaN</td>\n",
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+       "      <td>-32.270895</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>982985</td>\n",
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+       "      <td>r</td>\n",
+       "      <td>6.967145</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>164</td>\n",
+       "      <td>1924.983370</td>\n",
+       "      <td>647.026668</td>\n",
+       "      <td>True</td>\n",
+       "      <td>1.373997e+03</td>\n",
+       "      <td>VariableStar</td>\n",
+       "      <td>1.573060e+02</td>\n",
+       "      <td>7.339340e+02</td>\n",
+       "      <td>1.367030e+03</td>\n",
+       "      <td>1.729170e+03</td>\n",
+       "      <td>1.901450e+03</td>\n",
+       "      <td>2.026320e+03</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>74</th>\n",
+       "      <td>31411421139</td>\n",
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+       "      <td>55.816579</td>\n",
+       "      <td>-32.278785</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>982985</td>\n",
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+       "      <td>r</td>\n",
+       "      <td>-0.209456</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>164</td>\n",
+       "      <td>1839.299007</td>\n",
+       "      <td>799.524819</td>\n",
+       "      <td>True</td>\n",
+       "      <td>7.208995e+02</td>\n",
+       "      <td>VariableStar</td>\n",
+       "      <td>7.111900e+01</td>\n",
+       "      <td>3.604400e+02</td>\n",
+       "      <td>7.211090e+02</td>\n",
+       "      <td>9.509970e+02</td>\n",
+       "      <td>1.068600e+03</td>\n",
+       "      <td>1.147030e+03</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>75</th>\n",
+       "      <td>31500328834</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>55.745089</td>\n",
+       "      <td>-32.239291</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>r</td>\n",
+       "      <td>-0.008144</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>164</td>\n",
+       "      <td>678.663710</td>\n",
+       "      <td>213.671488</td>\n",
+       "      <td>True</td>\n",
+       "      <td>1.809349e+02</td>\n",
+       "      <td>VariableStar</td>\n",
+       "      <td>7.432840e+00</td>\n",
+       "      <td>6.114430e+01</td>\n",
+       "      <td>1.809430e+02</td>\n",
+       "      <td>2.960500e+02</td>\n",
+       "      <td>3.726910e+02</td>\n",
+       "      <td>4.211810e+02</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>76</th>\n",
+       "      <td>31411416803</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>55.806357</td>\n",
+       "      <td>-32.237593</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>r</td>\n",
+       "      <td>0.418374</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>164</td>\n",
+       "      <td>1602.563801</td>\n",
+       "      <td>79.592512</td>\n",
+       "      <td>True</td>\n",
+       "      <td>6.357414e+02</td>\n",
+       "      <td>VariableStar</td>\n",
+       "      <td>3.902040e+01</td>\n",
+       "      <td>2.603420e+02</td>\n",
+       "      <td>6.353230e+02</td>\n",
+       "      <td>9.304050e+02</td>\n",
+       "      <td>1.103760e+03</td>\n",
+       "      <td>1.212670e+03</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "              id   host_galaxy         ra        dec  redshift  obshistid  \\\n",
+       "0   MS_9300_3652  4.126946e+09  55.809744 -32.332801  0.945324     982985   \n",
+       "1   MS_9300_4184  4.127143e+09  55.933019 -32.284723  0.973225     982985   \n",
+       "0    31411429981           NaN  55.820381 -32.364658  0.000000     982985   \n",
+       "1    31107745011           NaN  55.815901 -32.372821  0.000000     982985   \n",
+       "2    31411429992           NaN  55.808551 -32.365349  0.000000     982985   \n",
+       "3    31405687653           NaN  55.769400 -32.385121  0.000000     982985   \n",
+       "4    31411430598           NaN  55.784715 -32.371861  0.000000     982985   \n",
+       "5    31411431584           NaN  55.694891 -32.385083  0.000000     982985   \n",
+       "6    31405685097           NaN  55.698054 -32.367778  0.000000     982985   \n",
+       "7    31411429963           NaN  55.709906 -32.370149  0.000000     982985   \n",
+       "8    31405695056           NaN  55.752186 -32.444417  0.000000     982985   \n",
+       "9    31303591512           NaN  55.734631 -32.405041  0.000000     982985   \n",
+       "10   31405688188           NaN  55.737764 -32.390812  0.000000     982985   \n",
+       "11   31500338795           NaN  55.766827 -32.392674  0.000000     982985   \n",
+       "12   30830343662           NaN  55.732586 -32.444870  0.000000     982985   \n",
+       "13   31107745884           NaN  55.685606 -32.420192  0.000000     982985   \n",
+       "14   31411431456           NaN  55.846529 -32.376424  0.000000     982985   \n",
+       "15   31405689453           NaN  55.861416 -32.394664  0.000000     982985   \n",
+       "16   31411433079           NaN  55.862970 -32.390615  0.000000     982985   \n",
+       "17   31411434476           NaN  55.956987 -32.399872  0.000000     982985   \n",
+       "18   31411435238           NaN  55.927944 -32.409212  0.000000     982985   \n",
+       "19   31405690039           NaN  55.932181 -32.396247  0.000000     982985   \n",
+       "20   31411435379           NaN  55.879466 -32.412980  0.000000     982985   \n",
+       "21   31405689834           NaN  55.890474 -32.396386  0.000000     982985   \n",
+       "22   31405689317           NaN  55.915417 -32.390858  0.000000     982985   \n",
+       "23   31500344305           NaN  55.926018 -32.469472  0.000000     982985   \n",
+       "24   31405699573           NaN  55.933211 -32.471492  0.000000     982985   \n",
+       "25   31411441806           NaN  55.953729 -32.468884  0.000000     982985   \n",
+       "26   31411440060           NaN  55.946981 -32.453107  0.000000     982985   \n",
+       "27   31411436869           NaN  55.959573 -32.423007  0.000000     982985   \n",
+       "28   31405687067           NaN  55.843104 -32.376660  0.000000     982985   \n",
+       "29   31411433059           NaN  55.845564 -32.391282  0.000000     982985   \n",
+       "30   31411433171           NaN  55.837128 -32.392919  0.000000     982985   \n",
+       "31   31411439873           NaN  55.787669 -32.459461  0.000000     982985   \n",
+       "32   31411437889           NaN  55.810828 -32.439987  0.000000     982985   \n",
+       "33   31411437836           NaN  55.802368 -32.439891  0.000000     982985   \n",
+       "34   31411439894           NaN  55.908861 -32.453742  0.000000     982985   \n",
+       "35   31500343398           NaN  55.890708 -32.457614  0.000000     982985   \n",
+       "36   31411438984           NaN  55.896820 -32.445671  0.000000     982985   \n",
+       "37   31405691981           NaN  55.838388 -32.416365  0.000000     982985   \n",
+       "38   31500341979           NaN  55.822515 -32.439874  0.000000     982985   \n",
+       "39   31405677272           NaN  55.728531 -32.302963  0.000000     982985   \n",
+       "40   31411422848           NaN  55.755820 -32.298574  0.000000     982985   \n",
+       "41   31405684392           NaN  55.739303 -32.360498  0.000000     982985   \n",
+       "42   31411429222           NaN  55.712634 -32.363318  0.000000     982985   \n",
+       "43   31411427628           NaN  55.742855 -32.346595  0.000000     982985   \n",
+       "44   31411417626           NaN  55.729487 -32.249257  0.000000     982985   \n",
+       "45   31411419490           NaN  55.723111 -32.267330  0.000000     982985   \n",
+       "46   31411420922           NaN  55.701453 -32.282580  0.000000     982985   \n",
+       "47   31500333496           NaN  55.861193 -32.306093  0.000000     982985   \n",
+       "48   31411427874           NaN  55.943414 -32.338642  0.000000     982985   \n",
+       "49   31411422491           NaN  55.882983 -32.288284  0.000000     982985   \n",
+       "50   31500331386           NaN  55.888395 -32.271442  0.000000     982985   \n",
+       "51   31411423360           NaN  55.919947 -32.295270  0.000000     982985   \n",
+       "52   31411425201           NaN  55.917385 -32.313623  0.000000     982985   \n",
+       "53   31102012493           NaN  55.911107 -32.306644  0.000000     982985   \n",
+       "54   31411426910           NaN  55.900401 -32.331192  0.000000     982985   \n",
+       "55   31411425954           NaN  55.917176 -32.321103  0.000000     982985   \n",
+       "56   31405680808           NaN  55.906242 -32.323183  0.000000     982985   \n",
+       "57   31411419091           NaN  55.952314 -32.251002  0.000000     982985   \n",
+       "58   31411420881           NaN  55.962893 -32.268407  0.000000     982985   \n",
+       "59   31405682947           NaN  55.820947 -32.345129  0.000000     982985   \n",
+       "60   31500334199           NaN  55.797823 -32.320015  0.000000     982985   \n",
+       "61   31102012281           NaN  55.808410 -32.302038  0.000000     982985   \n",
+       "62   31411417475           NaN  55.813107 -32.243519  0.000000     982985   \n",
+       "63   31411418748           NaN  55.758807 -32.257996  0.000000     982985   \n",
+       "64   31411420609           NaN  55.776831 -32.275624  0.000000     982985   \n",
+       "65   31411420975           NaN  55.775825 -32.279179  0.000000     982985   \n",
+       "66   30321355767           NaN  55.790356 -32.270034  0.000000     982985   \n",
+       "67   31405673531           NaN  55.762365 -32.269246  0.000000     982985   \n",
+       "68   31411419399           NaN  55.816679 -32.261316  0.000000     982985   \n",
+       "69   30830343259           NaN  55.792213 -32.292349  0.000000     982985   \n",
+       "70   31411422664           NaN  55.795710 -32.294633  0.000000     982985   \n",
+       "71   31411420662           NaN  55.834413 -32.273100  0.000000     982985   \n",
+       "72   31411420425           NaN  55.818703 -32.271713  0.000000     982985   \n",
+       "73   31411420361           NaN  55.823281 -32.270895  0.000000     982985   \n",
+       "74   31411421139           NaN  55.816579 -32.278785  0.000000     982985   \n",
+       "75   31500328834           NaN  55.745089 -32.239291  0.000000     982985   \n",
+       "76   31411416803           NaN  55.806357 -32.237593  0.000000     982985   \n",
+       "\n",
+       "             mjd bandpass   delta_flux   visit  detector      x_image  \\\n",
+       "0   61028.122882        r     7.922390  982985       164  1843.514576   \n",
+       "1   61028.122882        r    17.903100  982985       164  3612.689623   \n",
+       "0            NaN        r    -0.417352  982985       164  2067.755518   \n",
+       "1            NaN        r  -529.692743  982985       164  2016.305992   \n",
+       "2            NaN        r    17.688076  982985       164  1890.330502   \n",
+       "3            NaN        r     1.449948  982985       164  1338.102880   \n",
+       "4            NaN        r   -72.041725  982985       164  1543.054872   \n",
+       "5            NaN        r     0.474110  982985       164   212.155645   \n",
+       "6            NaN        r    -0.202717  982985       164   225.141427   \n",
+       "7            NaN        r    15.859311  982985       164   409.038575   \n",
+       "8            NaN        r    -0.444933  982985       164  1196.692918   \n",
+       "9            NaN        r  -132.988546  982985       164   852.649018   \n",
+       "10           NaN        r     0.130878  982985       164   871.462585   \n",
+       "11           NaN        r    -0.648288  982985       164  1314.332807   \n",
+       "12           NaN        r  -143.654370  982985       164   901.616919   \n",
+       "13           NaN        r   -10.301233  982985       164   142.509477   \n",
+       "14           NaN        r    -2.156009  982985       164  2486.356546   \n",
+       "15           NaN        r    17.939392  982985       164  2747.546711   \n",
+       "16           NaN        r    -1.392454  982985       164  2762.987540   \n",
+       "17           NaN        r    -7.284593  982985       164  4201.976965   \n",
+       "18           NaN        r     0.462488  982985       164  3781.556686   \n",
+       "19           NaN        r     1.024173  982985       164  3819.990599   \n",
+       "20           NaN        r    19.051943  982985       164  3056.585028   \n",
+       "21           NaN        r    -1.381235  982985       164  3190.039508   \n",
+       "22           NaN        r    21.603462  982985       164  3556.024267   \n",
+       "23           NaN        r    -7.292544  982985       164  3871.392014   \n",
+       "24           NaN        r     2.612661  982985       164  3983.971936   \n",
+       "25           NaN        r    -0.412228  982985       164  4288.636806   \n",
+       "26           NaN        r    -5.231881  982985       164  4155.664179   \n",
+       "27           NaN        r    -0.677646  982985       164  4286.583273   \n",
+       "28           NaN        r    22.786960  982985       164  2435.060539   \n",
+       "29           NaN        r    -0.230734  982985       164  2501.299612   \n",
+       "30           NaN        r     0.271971  982985       164  2377.076816   \n",
+       "31           NaN        r    -1.428530  982985       164  1762.565429   \n",
+       "32           NaN        r   -71.276272  982985       164  2073.453176   \n",
+       "33           NaN        r    -0.190598  982985       164  1945.491513   \n",
+       "34           NaN        r     1.054786  982985       164  3581.242170   \n",
+       "35           NaN        r    -0.249895  982985       164  3314.767703   \n",
+       "36           NaN        r     1.244017  982985       164  3383.443232   \n",
+       "37           NaN        r   304.331736  982985       164  2442.723122   \n",
+       "38           NaN        r     0.031564  982985       164  2249.731723   \n",
+       "39           NaN        r    21.249020  982985       164   555.763554   \n",
+       "40           NaN        r   -14.479009  982985       164   959.694901   \n",
+       "41           NaN        r   -22.874243  982985       164   833.968796   \n",
+       "42           NaN        r    -0.074621  982985       164   436.534738   \n",
+       "43           NaN        r     0.107577  982985       164   859.804856   \n",
+       "44           NaN        r     1.996145  982985       164   462.522152   \n",
+       "45           NaN        r     0.431967  982985       164   402.304517   \n",
+       "46           NaN        r    -3.985256  982985       164   105.270264   \n",
+       "47           NaN        r    -5.970113  982985       164  2568.436056   \n",
+       "48           NaN        r    37.739635  982985       164  3876.205833   \n",
+       "49           NaN        r    -0.470866  982985       164  2862.751243   \n",
+       "50           NaN        r    -0.079125  982985       164  2911.285574   \n",
+       "51           NaN        r     1.144773  982985       164  3435.744943   \n",
+       "52           NaN        r    -0.154823  982985       164  3433.225154   \n",
+       "53           NaN        r  -673.622399  982985       164  3324.488995   \n",
+       "54           NaN        r     0.325892  982985       164  3211.113289   \n",
+       "55           NaN        r  1217.174376  982985       164  3444.839292   \n",
+       "56           NaN        r    -3.761985  982985       164  3283.592431   \n",
+       "57           NaN        r    -0.067355  982985       164  3838.206434   \n",
+       "58           NaN        r    -0.007502  982985       164  4032.559693   \n",
+       "59           NaN        r    -1.853721  982985       164  2037.443093   \n",
+       "60           NaN        r    -5.463296  982985       164  1637.759965   \n",
+       "61           NaN        r    24.183589  982985       164  1762.044192   \n",
+       "62           NaN        r    -0.027428  982985       164  1716.525051   \n",
+       "63           NaN        r     0.026276  982985       164   923.701512   \n",
+       "64           NaN        r   -10.549919  982985       164  1231.653640   \n",
+       "65           NaN        r     7.746586  982985       164  1223.531400   \n",
+       "66           NaN        r -7207.912209  982985       164  1425.112941   \n",
+       "67           NaN        r    -1.962186  982985       164  1000.040064   \n",
+       "68           NaN        r   183.368650  982985       164  1806.021193   \n",
+       "69           NaN        r -1869.438283  982985       164  1497.736883   \n",
+       "70           NaN        r    11.366924  982985       164  1555.189024   \n",
+       "71           NaN        r  -115.410143  982985       164  2097.799549   \n",
+       "72           NaN        r   166.295041  982985       164  1857.348685   \n",
+       "73           NaN        r     6.967145  982985       164  1924.983370   \n",
+       "74           NaN        r    -0.209456  982985       164  1839.299007   \n",
+       "75           NaN        r    -0.008144  982985       164   678.663710   \n",
+       "76           NaN        r     0.418374  982985       164  1602.563801   \n",
+       "\n",
+       "        y_image  in_ccd          flux transient_type        flux_u  \\\n",
+       "0   1777.764571    True  7.922390e+00           SNIa           NaN   \n",
+       "1    710.427492    True  1.790310e+01           SNIa           NaN   \n",
+       "0   2330.004105    True  5.564035e+01   VariableStar  2.310070e+00   \n",
+       "1   2483.649238    True  9.286341e+04   VariableStar  3.636090e+03   \n",
+       "2   2362.300951    True  3.090351e+02   VariableStar  1.360500e+01   \n",
+       "3   2782.289372    True  2.468900e+03   VariableStar  3.210850e+02   \n",
+       "4   2519.074789    True  4.887076e+04   VariableStar  1.526090e+04   \n",
+       "5   2908.004547    True  6.787251e+02   VariableStar  2.837940e+01   \n",
+       "6   2592.935608    True  1.013383e+02   VariableStar  4.323860e+00   \n",
+       "7   2615.218523    True  2.160056e+04   VariableStar  1.610340e+03   \n",
+       "8   3872.654195    True  4.864491e+02   VariableStar  2.008790e+01   \n",
+       "9   3197.680800    True  2.722911e+04   VariableStar  1.493160e+03   \n",
+       "10  2937.706570    True  6.346588e+01   VariableStar  2.855800e+00   \n",
+       "11  2921.816165    True  1.737707e+02   VariableStar  7.660850e+00   \n",
+       "12  3913.964822    True  2.033266e+06   VariableStar  2.180380e+05   \n",
+       "13  3552.138066    True  4.671520e+04   VariableStar  3.100960e+03   \n",
+       "14  2496.590982    True  6.512670e+02   VariableStar  3.199410e+01   \n",
+       "15  2798.069955    True  2.238844e+04   VariableStar  8.630160e+03   \n",
+       "16  2722.984203    True  2.376545e+02   VariableStar  1.117210e+01   \n",
+       "17  2731.557380    True  2.068405e+03   VariableStar  6.202800e+02   \n",
+       "18  2947.145398    True  3.582225e+02   VariableStar  1.855470e+01   \n",
+       "19  2708.006091    True  1.402234e+03   VariableStar  1.958100e+02   \n",
+       "20  3095.639662    True  2.251395e+04   VariableStar  4.983580e+03   \n",
+       "21  2780.185372    True  3.855879e+03   VariableStar  2.109140e+02   \n",
+       "22  2639.535475    True  1.005042e+03   VariableStar  3.969580e+01   \n",
+       "23  4029.025066    True  2.378437e+03   VariableStar  1.183150e+02   \n",
+       "24  4053.199098    True  1.739297e+02   VariableStar  7.133320e+00   \n",
+       "25  3972.338240    True  1.438908e+02   VariableStar  5.926580e+00   \n",
+       "26  3701.145919    True  3.086328e+03   VariableStar  2.877930e+02   \n",
+       "27  3141.380969    True  3.125744e+02   VariableStar  3.523660e+01   \n",
+       "28  2506.567988    True  4.930027e+03   VariableStar  1.514850e+03   \n",
+       "29  2764.150433    True  9.885987e+01   VariableStar  5.132290e+00   \n",
+       "30  2807.625475    True  3.267230e+02   VariableStar  2.256830e+01   \n",
+       "31  4081.936329    True  3.420925e+02   VariableStar  1.859570e+01   \n",
+       "32  3694.328363    True  1.182197e+05   VariableStar  4.196750e+04   \n",
+       "33  3706.870496    True  2.287984e+02   VariableStar  1.486480e+01   \n",
+       "34  3776.093632    True  7.254088e+02   VariableStar  1.196800e+02   \n",
+       "35  3875.758516    True  2.173571e+02   VariableStar  1.143810e+01   \n",
+       "36  3651.751804    True  1.374574e+03   VariableStar  6.125970e+01   \n",
+       "37  3225.167375    True  1.517193e+05   VariableStar  3.551340e+04   \n",
+       "38  3672.642701    True  1.028206e+02   VariableStar  4.163990e+00   \n",
+       "39  1381.218751    True  7.812199e+03   VariableStar  1.615540e+03   \n",
+       "40  1256.370914    True  2.998271e+03   VariableStar  1.502290e+02   \n",
+       "41  2392.575931    True  1.334816e+03   VariableStar  2.067060e+02   \n",
+       "42  2488.320444    True  6.211648e+01   VariableStar  2.519000e+00   \n",
+       "43  2137.753959    True  7.207778e+01   VariableStar  2.871200e+00   \n",
+       "44   418.519310    True  2.662626e+03   VariableStar  1.004500e+03   \n",
+       "45   752.766253    True  3.963757e+01   VariableStar  1.610350e+00   \n",
+       "46  1062.506932    True  6.626087e+02   VariableStar  2.837630e+02   \n",
+       "47  1213.183987    True  3.370130e+03   VariableStar  3.886510e+02   \n",
+       "48  1658.173338    True  7.784510e+03   VariableStar  3.762600e+02   \n",
+       "49   857.870493    True  1.314861e+02   VariableStar  5.446070e+00   \n",
+       "50   547.375533    True  1.207729e+02   VariableStar  4.943870e+00   \n",
+       "51   921.041610    True  2.290738e+02   VariableStar  9.690530e+00   \n",
+       "52  1253.802946    True  1.226222e+02   VariableStar  5.842710e+00   \n",
+       "53  1139.394202    True  6.545048e+04   VariableStar  5.850730e+03   \n",
+       "54  1596.679162    True  3.262739e+02   VariableStar  1.367130e+01   \n",
+       "55  1388.042732    True  9.867412e+05   VariableStar  3.923480e+05   \n",
+       "56  1443.552802    True  9.632190e+02   VariableStar  3.921880e+01   \n",
+       "57    74.684042    True  7.914194e+01   VariableStar  3.341660e+00   \n",
+       "58   368.566051    True  1.153152e+03   VariableStar  7.199080e+01   \n",
+       "59  1979.524312    True  7.569483e+02   VariableStar  7.043230e+01   \n",
+       "60  1569.051160    True  6.282417e+02   VariableStar  2.738220e+01   \n",
+       "61  1229.447333    True  7.024828e+04   VariableStar  6.944730e+03   \n",
+       "62   174.240290    True  3.214096e+02   VariableStar  2.152330e+01   \n",
+       "63   525.143212    True  5.347718e+01   VariableStar  2.792990e+00   \n",
+       "64   810.087100    True  7.533190e+03   VariableStar  1.394510e+03   \n",
+       "65   875.420839    True  8.927016e+02   VariableStar  4.581000e+01   \n",
+       "66   687.183875    True  2.034032e+06   VariableStar  2.871830e+05   \n",
+       "67   720.443675    True  3.484558e+02   VariableStar  1.941180e+01   \n",
+       "68   486.731664    True  3.666887e+04   VariableStar  9.874980e+03   \n",
+       "69  1083.393236    True  5.412531e+06   VariableStar  1.102550e+06   \n",
+       "70  1118.370744    True  7.443017e+03   VariableStar  2.133050e+03   \n",
+       "71   667.741448    True  4.103149e+04   VariableStar  3.760660e+03   \n",
+       "72   669.379301    True  1.757475e+03   VariableStar  7.864590e+01   \n",
+       "73   647.026668    True  1.373997e+03   VariableStar  1.573060e+02   \n",
+       "74   799.524819    True  7.208995e+02   VariableStar  7.111900e+01   \n",
+       "75   213.671488    True  1.809349e+02   VariableStar  7.432840e+00   \n",
+       "76    79.592512    True  6.357414e+02   VariableStar  3.902040e+01   \n",
+       "\n",
+       "          flux_g        flux_r        flux_i        flux_z        flux_y  \\\n",
+       "0            NaN           NaN           NaN           NaN           NaN   \n",
+       "1            NaN           NaN           NaN           NaN           NaN   \n",
+       "0   2.011390e+01  5.605770e+01  8.733040e+01  1.068480e+02  1.197150e+02   \n",
+       "1   3.067180e+04  9.339310e+04  1.561490e+05  1.994350e+05  2.274640e+05   \n",
+       "2   1.065170e+02  2.913470e+02  4.535000e+02  5.554430e+02  6.201710e+02   \n",
+       "3   1.358970e+03  2.467450e+03  3.095570e+03  3.397010e+03  3.610070e+03   \n",
+       "4   3.580280e+04  4.894280e+04  5.485980e+04  5.661930e+04  5.711890e+04   \n",
+       "5   2.265870e+02  6.782510e+02  1.134430e+03  1.456300e+03  1.671030e+03   \n",
+       "6   3.425960e+01  1.015410e+02  1.682720e+02  2.144820e+02  2.447490e+02   \n",
+       "7   1.000220e+04  2.158470e+04  2.929540e+04  3.327900e+04  3.600260e+04   \n",
+       "8   1.596340e+02  4.868940e+02  8.298590e+02  1.079330e+03  1.247760e+03   \n",
+       "9   1.155810e+04  2.736210e+04  3.862290e+04  4.483290e+04  4.926750e+04   \n",
+       "10  2.280100e+01  6.333500e+01  9.960950e+01  1.231740e+02  1.384740e+02   \n",
+       "11  5.974040e+01  1.744190e+02  2.862500e+02  3.629400e+02  4.130830e+02   \n",
+       "12  1.098920e+06  2.033410e+06  2.547450e+06  2.770580e+06  2.931950e+06   \n",
+       "13  2.090840e+04  4.672550e+04  6.436390e+04  7.371800e+04  8.022390e+04   \n",
+       "14  2.428860e+02  6.534230e+02  1.008910e+03  1.230680e+03  1.370760e+03   \n",
+       "15  1.793070e+04  2.237050e+04  2.396540e+04  2.412540e+04  2.397640e+04   \n",
+       "16  8.742660e+01  2.390470e+02  3.719980e+02  4.555330e+02  5.085620e+02   \n",
+       "17  1.479880e+03  2.075690e+03  2.357660e+03  2.450470e+03  2.482340e+03   \n",
+       "18  1.427600e+02  3.577600e+02  5.246330e+02  6.218840e+02  6.865500e+02   \n",
+       "19  7.874760e+02  1.401210e+03  1.757310e+03  1.922560e+03  2.024140e+03   \n",
+       "20  1.444490e+04  2.249490e+04  2.642930e+04  2.787820e+04  2.869730e+04   \n",
+       "21  1.630710e+03  3.857260e+03  5.441410e+03  6.313410e+03  6.936080e+03   \n",
+       "22  3.286050e+02  9.834390e+02  1.626890e+03  2.065900e+03  2.349540e+03   \n",
+       "23  9.392150e+02  2.385730e+03  3.519760e+03  4.185160e+03  4.630940e+03   \n",
+       "24  5.839960e+01  1.713170e+02  2.787110e+02  3.498140e+02  3.946370e+02   \n",
+       "25  4.834450e+01  1.443030e+02  2.387110e+02  3.031650e+02  3.446650e+02   \n",
+       "26  1.539650e+03  3.091560e+03  4.065550e+03  4.544830e+03  4.860450e+03   \n",
+       "27  1.671760e+02  3.132520e+02  3.970430e+02  4.371350e+02  4.664090e+02   \n",
+       "28  3.560600e+03  4.907240e+03  5.493990e+03  5.646330e+03  5.690150e+03   \n",
+       "29  3.951910e+01  9.909060e+01  1.453690e+02  1.723700e+02  1.903270e+02   \n",
+       "30  1.478970e+02  3.264510e+02  4.472290e+02  5.106220e+02  5.544650e+02   \n",
+       "31  1.388400e+02  3.435210e+02  5.009940e+02  5.922740e+02  6.525260e+02   \n",
+       "32  8.952340e+04  1.182910e+05  1.307660e+05  1.338770e+05  1.341260e+05   \n",
+       "33  9.816480e+01  2.289890e+02  3.254240e+02  3.794150e+02  4.143250e+02   \n",
+       "34  4.369770e+02  7.243540e+02  8.718570e+02  9.313410e+02  9.702590e+02   \n",
+       "35  9.094090e+01  2.176070e+02  3.084900e+02  3.588930e+02  3.950650e+02   \n",
+       "36  4.941990e+02  1.373330e+03  2.153890e+03  2.647790e+03  2.962870e+03   \n",
+       "37  9.952870e+04  1.514150e+05  1.798810e+05  1.930510e+05  1.986060e+05   \n",
+       "38  3.577200e+01  1.027890e+02  1.638840e+02  2.031530e+02  2.284620e+02   \n",
+       "39  5.026170e+03  7.790950e+03  9.121350e+03  9.601040e+03  9.886890e+03   \n",
+       "40  1.151420e+03  3.012750e+03  4.556330e+03  5.492220e+03  6.095690e+03   \n",
+       "41  7.876460e+02  1.357690e+03  1.678640e+03  1.823920e+03  1.910990e+03   \n",
+       "42  2.061660e+01  6.219110e+01  1.039810e+02  1.331370e+02  1.523230e+02   \n",
+       "43  2.365980e+01  7.197020e+01  1.213270e+02  1.563540e+02  1.798250e+02   \n",
+       "44  2.052990e+03  2.660630e+03  2.907240e+03  2.950960e+03  2.940350e+03   \n",
+       "45  1.294560e+01  3.920560e+01  6.640600e+01  8.612880e+01  9.954170e+01   \n",
+       "46  5.407520e+02  6.665940e+02  7.060360e+02  7.006860e+02  6.885000e+02   \n",
+       "47  1.812880e+03  3.376100e+03  4.269890e+03  4.694880e+03  5.002920e+03   \n",
+       "48  3.163970e+03  7.746770e+03  1.109010e+04  1.297130e+04  1.433460e+04   \n",
+       "49  4.326990e+01  1.319570e+02  2.248820e+02  2.924640e+02  3.380870e+02   \n",
+       "50  4.042260e+01  1.208520e+02  2.001540e+02  2.544260e+02  2.894040e+02   \n",
+       "51  8.066300e+01  2.279290e+02  3.604170e+02  4.449090e+02  4.990880e+02   \n",
+       "52  4.620180e+01  1.227770e+02  1.870210e+02  2.262400e+02  2.516680e+02   \n",
+       "53  3.363810e+04  6.612410e+04  8.493040e+04  9.349000e+04  9.994630e+04   \n",
+       "54  1.089990e+02  3.259480e+02  5.447780e+02  6.989660e+02  8.017770e+02   \n",
+       "55  8.033380e+05  9.855240e+05  1.042120e+06  1.037410e+06  1.025660e+06   \n",
+       "56  3.366850e+02  9.669810e+02  1.541170e+03  1.909940e+03  2.147550e+03   \n",
+       "57  2.682050e+01  7.920930e+01  1.294150e+02  1.630300e+02  1.841280e+02   \n",
+       "58  4.880680e+02  1.153160e+03  1.647870e+03  1.926920e+03  2.108110e+03   \n",
+       "59  3.774270e+02  7.588020e+02  9.987480e+02  1.117240e+03  1.195280e+03   \n",
+       "60  2.309470e+02  6.337050e+02  9.800630e+02  1.194770e+03  1.335560e+03   \n",
+       "61  3.649620e+04  7.022410e+04  8.974330e+04  9.892880e+04  1.057880e+05   \n",
+       "62  1.435740e+02  3.214370e+02  4.448450e+02  5.140990e+02  5.635850e+02   \n",
+       "63  2.074870e+01  5.345090e+01  8.025360e+01  9.638990e+01  1.067360e+02   \n",
+       "64  4.652580e+03  7.543740e+03  9.009580e+03  9.589650e+03  9.955560e+03   \n",
+       "65  3.528560e+02  8.849550e+02  1.298480e+03  1.539840e+03  1.700390e+03   \n",
+       "66  1.214020e+06  2.041240e+06  2.452630e+06  2.620000e+06  2.732900e+06   \n",
+       "67  1.426360e+02  3.504180e+02  5.093890e+02  6.011580e+02  6.614890e+02   \n",
+       "68  2.521870e+04  3.648550e+04  4.184840e+04  4.365380e+04  4.443380e+04   \n",
+       "69  3.529840e+06  5.414400e+06  6.344200e+06  6.723090e+06  6.918610e+06   \n",
+       "70  5.315280e+03  7.431650e+03  8.422140e+03  8.762410e+03  8.885190e+03   \n",
+       "71  2.007590e+04  4.114690e+04  5.482920e+04  6.196090e+04  6.678670e+04   \n",
+       "72  6.255460e+02  1.591180e+03  2.349910e+03  2.796330e+03  3.095530e+03   \n",
+       "73  7.339340e+02  1.367030e+03  1.729170e+03  1.901450e+03  2.026320e+03   \n",
+       "74  3.604400e+02  7.211090e+02  9.509970e+02  1.068600e+03  1.147030e+03   \n",
+       "75  6.114430e+01  1.809430e+02  2.960500e+02  3.726910e+02  4.211810e+02   \n",
+       "76  2.603420e+02  6.353230e+02  9.304050e+02  1.103760e+03  1.212670e+03   \n",
+       "\n",
+       "    is_pointsource  is_variable  \n",
+       "0              NaN          NaN  \n",
+       "1              NaN          NaN  \n",
+       "0              1.0          1.0  \n",
+       "1              1.0          1.0  \n",
+       "2              1.0          1.0  \n",
+       "3              1.0          1.0  \n",
+       "4              1.0          1.0  \n",
+       "5              1.0          1.0  \n",
+       "6              1.0          1.0  \n",
+       "7              1.0          1.0  \n",
+       "8              1.0          1.0  \n",
+       "9              1.0          1.0  \n",
+       "10             1.0          1.0  \n",
+       "11             1.0          1.0  \n",
+       "12             1.0          1.0  \n",
+       "13             1.0          1.0  \n",
+       "14             1.0          1.0  \n",
+       "15             1.0          1.0  \n",
+       "16             1.0          1.0  \n",
+       "17             1.0          1.0  \n",
+       "18             1.0          1.0  \n",
+       "19             1.0          1.0  \n",
+       "20             1.0          1.0  \n",
+       "21             1.0          1.0  \n",
+       "22             1.0          1.0  \n",
+       "23             1.0          1.0  \n",
+       "24             1.0          1.0  \n",
+       "25             1.0          1.0  \n",
+       "26             1.0          1.0  \n",
+       "27             1.0          1.0  \n",
+       "28             1.0          1.0  \n",
+       "29             1.0          1.0  \n",
+       "30             1.0          1.0  \n",
+       "31             1.0          1.0  \n",
+       "32             1.0          1.0  \n",
+       "33             1.0          1.0  \n",
+       "34             1.0          1.0  \n",
+       "35             1.0          1.0  \n",
+       "36             1.0          1.0  \n",
+       "37             1.0          1.0  \n",
+       "38             1.0          1.0  \n",
+       "39             1.0          1.0  \n",
+       "40             1.0          1.0  \n",
+       "41             1.0          1.0  \n",
+       "42             1.0          1.0  \n",
+       "43             1.0          1.0  \n",
+       "44             1.0          1.0  \n",
+       "45             1.0          1.0  \n",
+       "46             1.0          1.0  \n",
+       "47             1.0          1.0  \n",
+       "48             1.0          1.0  \n",
+       "49             1.0          1.0  \n",
+       "50             1.0          1.0  \n",
+       "51             1.0          1.0  \n",
+       "52             1.0          1.0  \n",
+       "53             1.0          1.0  \n",
+       "54             1.0          1.0  \n",
+       "55             1.0          1.0  \n",
+       "56             1.0          1.0  \n",
+       "57             1.0          1.0  \n",
+       "58             1.0          1.0  \n",
+       "59             1.0          1.0  \n",
+       "60             1.0          1.0  \n",
+       "61             1.0          1.0  \n",
+       "62             1.0          1.0  \n",
+       "63             1.0          1.0  \n",
+       "64             1.0          1.0  \n",
+       "65             1.0          1.0  \n",
+       "66             1.0          1.0  \n",
+       "67             1.0          1.0  \n",
+       "68             1.0          1.0  \n",
+       "69             1.0          1.0  \n",
+       "70             1.0          1.0  \n",
+       "71             1.0          1.0  \n",
+       "72             1.0          1.0  \n",
+       "73             1.0          1.0  \n",
+       "74             1.0          1.0  \n",
+       "75             1.0          1.0  \n",
+       "76             1.0          1.0  "
+      ]
+     },
+     "execution_count": 57,
+     "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
     "# Download the truth catalog\n",
-    "Brunos = pd.read_csv('https://jira.lsstcorp.org/secure/attachment/70798/varstar_truth_cat_DC2_visit_982985_det_164.csv')\n",
+    "Brunos_SN = pd.read_csv('https://jira.lsstcorp.org/secure/attachment/70797/sn_truth_cat_DC2_visit_982985_det_164.csv')\n",
+    "Brunos_var = pd.read_csv('https://jira.lsstcorp.org/secure/attachment/70798/varstar_truth_cat_DC2_visit_982985_det_164.csv')\n",
     "\n",
+    "Brunos = pd.concat([Brunos_SN, Brunos_var])\n",
     "Brunos"
    ]
   },
@@ -855,7 +9476,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": 46,
    "id": "83e63ccd",
    "metadata": {},
    "outputs": [
@@ -1847,7 +10468,7 @@
     {
      "data": {
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YGABO07NkFIIjB8/PjZt2hT77LNPKfqrkwQIECBAgAABAgQIECBAgEDxBZ588skYM2ZMrF+/vvid1cOGCwhOG07uhsMRGDt2bGzZsiX23Xff4VzuGgIECBAgQIAAAQIECBAgQIDALgIrVqyItra26OnpoUNgFwHBqUlRCoEXv/jFWT8ff/zxUvRXJwkQIECAAAECBAgQIECAAIHiC8gbil+jZvZQcNpMfffOLWAhy03lRAIECBAgQIAAAQIECBAgQCCngLwhJ1RFTxOcVrTwZRu2haxsFdNfAgQIECBAgAABAgQIECBQfAF5Q/Fr1MweCk6bqe/euQUsZLmpnEiAAAECBAgQIECAAAECBAjkFJA35ISq6GmC04oWvmzDtpCVrWL6S4AAAQIECBAgQIAAAQIEii8gbyh+jZrZQ8FpM/XdO7eAhSw3lRMJECBAgAABAgQIECBAgACBnALyhpxQFT1NcFrRwpdt2BayslVMfwkQIECAAAECBAgQIECAQPEF5A3Fr1Ezeyg4baa+e+cWsJDlpnIiAQIECBAgQIAAAQIECBAgkFNA3pATqqKnCU4rWviyDXu4C9nWrVtj8+bNsWXLlrINWX9LLtDW1hajR4+O3kW25CPRfQIECBAgQIAAAQIECLSuwHDzhtYVMbIdBQSn5kMpBIa6kKWwdPXq1bFmzZrYtGlTKcaok60nkELTiRMnxqRJk6Kzs7P1BmhEBAgQIECAAAECBAgQKLnAUPOGkg9X94coIDgdIpjTmyMwlIUs7TJ95JFH4plnnmlOZ92VwG4EXvSiF8WUKVPYECBAgAABAgQIECBAgECBBIaSNxSo27rSIAHBaYOg3WZkAkNZyNJO0yeeeCK7YQqq0m6/9Ni0g0AjBVKAv379+njqqadiw4YN2a1f8pKX2HnayCK4FwECBAgQIECAAAECBAYRGEreALN6AoLT6tW8lCMeykL28MMPx7PPPhtdXV1xwAEHlHK8Ot06Aun9umlOpvA0Pa6fwlMHAQIECBAgQIAAAQIECBRDYCh5QzF6rBeNFBCcNlLbvYYtkHchSyHV73//+0i7/ezuGza3C2sskN61+/jjj2cfijr00EN9MKrGvpojQIAAAQIECBAgQIDAcAXy5g3Dbd915RYQnJa7fpXpfd6FrKenJx588MHMZcaMGdHR0VEZIwMtrsDGjRtj6dKlWQcPPvjgGDNmTHE7q2cECBAgQIAAAQIECBCokEDevKFCJIa6g4Dg1HQohUDehey5556LJUuWZGM66KCDor29vRTj08nWFjAvW7u+RkeAAAECBAgQIECAQHkF8uYN5R2hno9EQHA6Ej3XNkwg70ImoGpYSdxoCALm5RCwnEqAAAECBAgQIECAAIEGCuTNGxrYJbcqkIDgtEDF0JU9C+RdyARUZlERBczLIlZFnwgQIECAAAECBAgQIBCRN29gVU0BwWk16166UeddyARUpSttJTpsXlaizAZJgAABAgQIECBAgEAJBfLmDSUcmi7XQEBwWgNETdRfIO9CJqCqfy3cYegC5uXQzVxBgAABAgQIECBAgACBRgjkzRsa0Rf3KJ6A4LR4NdGj3QjkXcgEVI2dPr0LSHbDrVu3NvbGJbubeVmygukuAQIECBAgQIAAAQKVEcibN1QGxEB3EhCcmhClEMi7kAmohlbOt771rfHDH/4wu+izn/1sXHDBBbtt4G//9m/jU5/6VJx66qlx9dVXbz+nDMHpQw89FC9/+cvjLW95S9x1111DA6rR2eZljSA1Q4AAAQIECBAgQIAAgRoL5M0banxbzZVEQHBakkJVvZt5FzIB1dBmyo7B6ZQpU+K//uu/oqura5dG9hSczpw5Mzt38eLFQ7txA88WnDYQ260IECBAgAABAgQIECBQMoG8eUPJhqW7NRIQnNYIUjP1Fci7kAlOh1aHvuB09OjRsXnz5kgB6UUXXZQ7OB3a3ZpztuC0Oe7uSoAAAQIECBAgQIAAgTII5M0byjAWfay9gOC09qZarINA3oVMcDo0/L7g9H3ve1987Wtfi0mTJmW7Tvfee++dGtrTjtOh3a05ZwtOm+PurgQIECBAgAABAgQIECiDQN68oQxj0cfaCwhOa2+qxToI5F3IBKdDw+8LTv/5n/85rr322li4cGF84hOfiIsvvjhXcLqnd5y+7GUvi4cffjgLYR955JH4zGc+Ez//+c+zj0i94Q1viEsvvTSOPPLI7B4/+clPsp//7Gc/i/Xr18frX//6+NznPhezZs3aZTD33ntv/Ou//mv84Ac/iBSIrly5MiZPnhx/+Id/GB/5yEfiHe94xy7XDBSc3n///Vlf0nteH3/88Rg3blxMmzYtjjjiiDjxxBPjve9979BA93C2eVkTRo0QIECAAAECBAgQIECg5gJ584aa31iDpRAQnJaiTDqZdyETUA1truwYnL7qVa+KN77xjTFx4sQs8Nxnn322NzbUj0P1Baef//zn4/zzz892sB544IHxwAMPRHd3d7az9ac//Wncd999ccopp2TvVU3X/P73v4+1a9dmfUhB62GHHbbTgN7+9rfH7bffnl2f5sSECRPi0UcfjeXLl2fnXXbZZfFXf/VXO12zp+B00aJF2Qejnn322dhrr71ixowZMWbMmCzoXbVqVbzyla+MFNTW4jAva6GoDQIECBAgQIAAAQIECNReIG/eUPs7a7EMAoLTMlRJH7OQLB1pV+BAR7MDqlXrNsbK3n+mTeyIqb3/FP3YMTj98z//83jXu94Vt956axZ2zps3b3v3hxucjh07Nj796U9n7aX3qKYdpXPmzInvfOc7MXv27PjlL38ZF1xwwU4/Tzs9Ux9OPvnkuOaaa3YiTLtNDznkkHjNa16z05+nHaPvec974sknn4zf/e53WQg62HHcccfFt7/97Tj99NPjyiuvzMLaviO1cdddd8WHPvShwZrJ9fNmz8tcnXQSAQIECBAgQIAAAQIEKiiQN2+oII0h9woITk2DUgjkXciaFVA9uGJdXHLrb+OO363ofRw9/cWKeNvMfePj7zwsXrHvC4Fc0bD7B6e/+tWv4nWve12MHz8+li5dGvvtt1/W5eEGp3/6p38at9xyy07DXrx48fadpLv7+W9/+9s4/PDDs12la9asyU32xS9+MVL4m14zkF43MNgxc+bMLGT9zW9+s0sQO9i1Q/15s+blUPvpfAIECBAgQIAAAQIECFRNIG/eUDUX431eQHBqJpRCIO9C1oyAKoWmJ1x1Tzy9vmcXy0njx8YNZ72psOFp/+A0DeDd73533Hjjjdk7Q//3//7f2ZiGG5zefPPNkXZ29j/So/Fp9+lgP087SKdOnbrT5Y899lh84xvfiPSofXrH6caNG7OfP/3009mj9WlHa3pf62DHMccck73T9ZOf/GR86lOfSovhYJcM++fNmJfD7qwLCRAgQIAAAQIECBAgUCGBvHlDhUgMdQcBwanpUAqBvAtZMwKqD375F3H74hV7dHz7YfvGv5z+h4V03l1w+p//+Z/Zx5Ha29vjwQcfjJe85CXDDk5TkJneFdr/SO87XbZsWRZ0DvTz9H7SdG7f8c1vfjPbVZreS7qnI70HNX08arDje9/7XvZqgvTBqnSPY489Nt785jfH0UcfHQcccMBglw/p582Yl0PqoJMJECBAgAABAgQIECBQUYG8eUNFeSo/bMFp5adAOQDyLmSNDqjSO01nXbwwezx/T0fayPjLC4+JKRPaC4e9u+A0dTK9LzTt2kzv+FywYMGwg9P0kan00af+R9/Ho4by83Ruerw+1fjcc8+N973vfXHQQQdFZ2dntLW1xR133BFve9vbsg8+pfeT5jm+//3vx2c+85n48Y9/HFu2bMkuSTtPUztXXHHFbkPdPO32P6fR83I4fXQNAQIECBAgQIAAAQIEqiiQN2+ooo0xe1TfHCiJQN6FrNEB1eLl3XHsFXcPqnjbuUfFoft1Dnpeo0/YU3Ca3kP6qle9Kgsk05fuv/zlL2ePs5966qlx9dVXb+9m3+PtadfmjsdwgtHBrr/00kuzD0nt6VH89OGok046aUjBad8902P+P/rRj7LANe1qffTRR7MPkt13332x9957j7gsjZ6XI+6wBggQIECAAAECBAgQIFARgbx5Q0U4DLOfgB2npkQpBPIuZI0OqFp1x2maFO9///vja1/7Wpxxxhkxffr0pgenaffrF77whfjHf/zHOOecc3aZt3Pnzo3LLrtsWMHpjo2tW7cue1VB+jjWV7/61Wxn60iPRs/LkfbX9QQIECBAgAABAgQIEKiKQN68oSoexrmzgODUjCiFQN6FrBkBVau947RvQixZsiR7ND7tJj355JOzDzI1c8dpejw/fazqE5/4RFx88cU7zdunnnoqDjnkkEgfkxrKo/p7mvzHH3989uGqtMv1Yx/72Ij/jjRjXo640xogQKCcAum1I8+tjVWbxsXK3tfJTJvYEVPHbIho733qofcpAgcBAgQIECBAgMDOAnnzBm7VFBCcVrPupRt13oWsGQHVgyvWxQlX3RNPr+/ZxXXS+LFxw1lvilfsO7GQ5nt6VL+vs+lDTF/84hdj9OjRsXnz5qYGpzfccEOceOKJMXny5Lj99tvjta99bdbNRx55JN773vfGokWLYsOGDbmD0xQGpyD4He94R3R0dGyvT2o7Badp52n6yFT62NRIj2bMy5H22fUECJRQoDc07b7uzFizZFEcv25urN7aFVNGdcdNnfNi8oxZ0TVngfC0hGXVZQIECBAgQKC+Annzhvr2QutFFRCcFrUy+rWTQN6FrFkBVQpPL/3eb+P2xSuyD0W19X4QavbMfePj7zyssKFpAh4sOH344YeznZzJNR3N3HGagtujjjoq7rnnnuzdq6lfKfC89957Y6+99opPf/rT2Uej8u44TQFserdpe3t7HHzwwTFhwoR4/PHHsyB2d2MdyV/JZs3LkfTZtQQIlExgW2jatfjarOP3bzkwzu45J64cOz8Ob3s4+7PumScLT0tWVt0lQIAAAQIE6i+QN2+of0/coYgCgtMiVkWfdhHIu5A1O6Ba/cxzsXJt76ORnR0xZUJ74Ss5WHCaBvDhD384rrrqqt2GiY38OFTqQNoF+jd/8zdx/fXXxxNPPBH77LNPHH300XHRRRfFY489lv173uA0PYr/b//2b1kQm65ds2ZNTJo0KY488sj4wAc+kIXEfeMbaSGbPS9H2n/XEyBQAoENT8eyy4+O6T1L9tjZZe0HxfTz7owYN6kEA9JFAgQIECBAgEBjBPLmDY3pjbsUTUBwWrSK6M9uBfIuZAIqE6iIAuZlEauiTwRaSyB9rPCYi78VV4+9ZPsO0x1HmHagntZzQSy88IRS/GKvtapjNAQIECBAgECRBfLmDUUeg77VT0BwWj9bLddQIO9CJqCqIbqmaiZgXuak9FGbnFBOI7CrwOLl3XHsFXfHjFGPxR0d5+9ywuyNl8XSrfvHbeceFYfu1/uhKAcBAgQIECBAgEAmkDdvwFVNAcFpNeteulHnXcgEVKUrbSU6bF7mKLOP2uRAcgqBPQvYcWp2ECBAgAABAgSGJ5A3bxhe664qu4DgtOwVrEj/8y5kAqqKTIiSDdO8HKRgPmpTshmtu4UU8I7TQpZFpwgQIECAAIHiC+TNG4o/Ej2sh4DgtB6q2qy5QN6FTEBVc3oN1kDAvBwEUeBTg1mmicoL+AVE5acAAAIECBAgQGB4AnnzhuG17qqyCwhOy17BivQ/70ImoKrIhCjZMM3LgQvmEeOSTWjdLa5A3ysvli6K49fOjdVbu2LqqO64sXNeTJ4xK7rmLIhoaytu//WMAAECBAgQINAEgbx5QxO65pYFEBCcFqAIujC4QN6FTEA1uKUzGi9gXg5s7qM2jZ+T7tjCAts+srZ68/hYuXZjTOvsiCmj10e0934QSmjawoU3NAIECBAgQGC4AnnzhuG277pyCwhOy12/yvQ+70ImoKrMlCjVQM3Lgctlx2mpprPOEoveUiwAACAASURBVCBAgAABAgQIEGgpgbx5Q0sN2mByCwhOc1M5sZkCeRcyAVUzq+TeexIwLweZG95x6i8PAQIECBAgQIAAAQJNEsibNzSpe27bZAHBaZML4Pb5BPIuZAKqfJ7OaqyAeTmIt4/aNHZCuhsBAgQIECBAgAABAtsF8uYNyKopIDitZt1LN+q8C5mAqnSlrUSHzcscZfZRmxxITiFAgAABAgQIECBAoNYCefOGWt9Xe+UQEJyWo06V72XehUxAVfmpUkgA8zJnWXzUJieU0wgQIECAAAECBAgQqJVA3ryhVvfTTrkEBKflqldle5t3IRNQVXaKFHrg5mWhy6NzBAgQIECAAAECBAhUWCBv3lBhokoPXXBa6fKXZ/B5FzIBVXlqWqWempdVqraxEiBAgAABAgQIECBQJoG8eUOZxqSvtRMQnNbOUkt1FMi7kAmo6lgETQ9bwLwcNp0LCRAgQIAAAQIECBAgUFeBvHlDXTuh8cIKCE4LWxod21Eg70ImoDJviihgXhaxKvpEgAABAgQIECBAgACBiLx5A6tqCghOq1n30o0670ImoCpdaSvRYfOyEmU2SAKtL7DtA26rNo2Lles2xrSJHTF1zIaI9s6ItrbWH78REiBAgAABAi0pkDdvaMnBG9SgAoLTQYmcUASBvAuZgGpo1XrrW98aP/zhD3e5aNy4cfGSl7wk0s/PO++8OOyww4bWcInOfuihh+LlL395vOUtb4m77rqrLj03L+vCqlECBBop0Buadl93ZqxZsiiOXzc3Vm/tiimjuuOmznkxecas6JqzQHjayHq4FwECBAgQIFAzgbx5Q81uqKFSCQhOS1Wu6nY270ImoBraHOkLTl/60pfG9OnTt1+8YsWKSIFiT09PtLe3x0033RTvfOc7h9Z4Sc4WnJakULpJgEDzBLaFpl2Lr836cP+WA+PsnnPiyrHz4/C2h7M/6555svC0eRVyZwIECBAgQGAEAnnzhhHcwqUlFhCclrh4Vep63oVMcDq0WdEXnF500UXxt3/7tztd/Oijj8app56a7UhN/o888kiMHj16aDcowdmC0xIUSRcJEGiuwIanY9nlR8f0niV77Mey9oNi+nl3Royb1Ny+ujsBAgQIECBAYIgCefOGITbr9BYREJy2SCFbfRh5FzLB6dBmwkDBaWrpvvvui1e96lVZo7/5zW/iNa95zdBuUIKzBaclKJIuEiDQVIFVve8zPebib8XVYy/ZvsN0xw6lHain9VwQCy88IaZMaG9qX92cAAECBAgQIDBUgbx5w1DbdX5rCAhOW6OOLT+KvAuZ4HRoU2Gw4PSZZ56JiRMnZo0uWrQoXve612X/nnanfupTn4q0U/Wcc87J/v3b3/52pF2qf/Inf5I92v/lL385zjjjjDj99NOzf+9/9AWWBx54YPZagL6j/59fc8018fnPfz4LcceMGRNvfvOb47Of/eweQ9ynnnoq5s2bl/Xhv/7rv7JXDRx++OHx/ve/P/7iL/4ia2PHY6Dg9P77749LL70023X7+OOPR3r367Rp0+KII46IE088Md773vfmAjcvczE5iQCBggosXt4dx15xd8wY9Vjc0XH+Lr2cvfGyWLp1/7jt3KPi0P16PxTlIECAAAECBAiUSCBv3lCiIelqDQUEpzXE1FT9BPIuZAKqodVgsOA0BYbpnLFjx0Z67+nkyZOzG/QFpx/+8Ifju9/9bvYYfwon06P8r3jFK+Jf//VfaxKcplcFpJA0fagqBZa/+93v4tlnn42urq74xS9+EYcccshOA166dGnMnj07Hn744SwgTbtl0/m///3vs/P++I//OG6++eYsAO079hScpqA4fTAqXb/XXnvFjBkzsjbTWFetWhWvfOUr4957780Fbl7mYnISAQIFFbDjtKCF0S0CBAgQIECgJgJ584aa3EwjpRMQnJauZNXscN6FrGkBVe+HM+K5tTu/2633nXDR3rvzpq2tsEXbU3D65JNPxo9//OP46Ec/mu3aTP/3H/7hH7aPoy84TUFp2oV63XXXRdo5mo7169fH+PHjRxycprC2o6Mjvv71r8dxxx2Xtf3000/H8ccfH3fddVeccsop8Y1vfGN7n7Zu3RpveMMb4uc//3m8/vWvz8LbFLim46c//WnWxsqVK2Pu3Lnxuc99btCapPPTLtq0Y/bKK6/cvvM2XZgC3NSHD33oQ4O2k05o2rzM1TsnESBAYBAB7zg1RQgQIECAAIEWFsibN7QwgaENICA4NT1KIZB3IWtKQJVC01vOiXj8NxHvvzliwtSIZ1ZFfPXPIl58RMRx8wsbnvYFp3uaBPvvv3988pOfzALC3sVi+2l9wWkKNh988MHtAeWO7Yz0Uf3UVgo4U9C545HetXrkkUfGpEmTYs2aNdt/dMcdd8Tb3va2bFfoAw88EC972ct2uu6b3/xm9mh92j362GOPZdcPdMycOTMLSGvxbtemzMtS/M3WSQIESiHQ+59z3dedGV2Lr826m95penbPOXHl2Pnb33naPfPk6JqzoLD/eVcKZ50kQIAAAQIEmiKQN29oSufctOkCgtOml0AH8gjkXcgaHlD1haa/vvr5Ybzo1REnfSni+jMinvjP5//syNMKG572BacvfelLY/r06dtLkXZ2pp2m6R2nKaT82te+tv0jUemkvuD0Xe96V3znO9/ZbQlrEZymYHR3AWfa0bphw4ZIO2OnTu0NqnuPv/7rv87ebXrCCSdku037H5s3b84C3uXLl2c7Sf/7f//vA069Y445JhYuXJgFx+kdrjsGx3nm7I7nNHxeDrWDzidAgMBgAtvC0zVLF8Xxa+fG6q1dMXVUd9zYOS8mz5glNB3Mz88JECBAgACBwgrkzRsKOwAdq6uA4LSuvBqvlUDehazhAVV6HP9L73ohJN3dgFOYesZ3d36Mv1YwI2xnoHecpkfuU2D493//99m7TdOHkvrq0Becnn/++VlYubtjpMHpPvvskz1av7sjhbzpXaPp/aR9rwhIj/Cn95emoPPv/u7vdnvd0UcfnT1if/nll8d55503oN73vve9SMFwegVAusexxx6bfZgqtXHAAQcMSb7h83JIvXMyAQIEcgpsey3N6s3jY+XajTGtsyOmjF5f+NfS5Byd0wgQIECAAIGKCuTNGyrKU/lhC04rPwXKAZB3IWtKQNX3WH7fDtMdSVNo2vf4fgGpB/s4VOryH/3RH2UfYtrxPad9welFF12U7T6tR3CawsoUjO7uSI/hpw9ApV2xfY/kv/3tb4/bb789ex/pX/7lX+72uve85z1x7bXXZn1OfR/s+P73vx+f+cxnsve9bkmBQe+Rdp6mVwJcccUV2Qei8hxNmZd5OuYcAgQIECBAgAABAgQIVFwgb95QcabKDl9wWtnSl2vgeReypgVUTz4QceWsXVHPXhSxz8GFxc4TnH7kIx+J+fPnx5ve9KYsQExHnuD0K1/5SnzgAx+I97///ZH+vf9x3333ZY//9w9I+75yP9TgtG/H6d/8zd9kO2V3dwxlx+mO16dXF/zoRz/Kdqumd6U++uij2e7bNIa999570Po2bV4O2jMnECBAgAABAgQIECBAoNoCefOGaitVd/SC0+rWvlQjz7uQNSWgavEdp2effXb80z/9Uxx66KGxePHi3MFpes/oSSedlD3inh5773+kx+pT2Fmr4LTvHacnnnhiXH/99bvcL73jNL3L9fHHH8/1jtM9/QVZt25dHHHEEbF06dL46le/Gu973/sG/bvUlHk5aK+cQIAAAQIECBAgQIAAgZELrFq3MVb2/jNtYkdM7f2nbEfevKFs49Lf2ggITmvjqJU6C+RdyBoeULXwO05TSdP7PWfNmhW/+tWv4k/+5E/iu9/tfVdr75Fnx+m///u/x2tf+9rYb7/9YtmyZTF27NidZklqLwWqtQpO77jjjuwR+nSfJUuWZCHpjsc111wTp5xySuy1117x2GOP7fajU3mncd/u1ksvvTQ+9rGPDXpZw+floD1yAgECBAgQIECAAAECBEYm8OCKdXHJrb+NO363ovd/O6bXmkW8bea+8fF3Hhav2HfiyBpv4NV584YGdsmtCiQgOC1QMXRlzwJ5F7KGB1TpvZe3nBPx66uf73x6p+lJX4q4/owXPhh15GkRx82PaGsrXIkH+zhUeuz9sssuy/qdHlFP7whNR57gNL0TNH3EKT3WnnaDppAxvR9006ZNcckll8SnP/3p6OnpqVlwmkLeN77xjfGzn/0se61A2nW6//77Z/39+c9/Hscdd1w88cQTMXfu3Pjc5z43aC1OPvnkOPXUU+Md73hHdHS88FvT9B7VFJymnac/+MEPIr1bdbCj4fNysA75OQECBAgQIECAAAECBEYgkELTE666J55e37NLK5PGj40bznpTacLTvHnDCLhcWmIBwWmJi1elruddyJoSUPWFp4//5oUPQfU9vv/iIwobmqb50xecpt2ZKeTsO9I7PdOj6M8++2z2R2eeeWZcddVV23+eJzhNJ6ew9b3vfW923dSpU+PlL395ths0hY7p40rpI0612nGa7pH6PHv27OzDUWnnaXqH6vr167e/YuCYY46JW265JcaNGzfoX5/JkydHcmhvb4+DDz44JkyYkD3m/8gjj2TXplD16qu3BeaDtNaUeTnoCJ1AgAABAgQIECBAgACB4Ql88Mu/iNsXr9jjxW8/bN/4l9P/cHiNN/iqvHlDg7vldgUREJwWpBC6MbBA3oWsaQFVCk+fWxsxbtILA0mP8bd3FnKnaV8n+4LT/vopdJw2bVr80R/9UfzFX/xF9pj+jkfe4DRdc+ONN2a7Tf/jP/4jCyzf8IY3ZDtWX/SiF2VBai2D03S/1atXx7x587L7pg9NpbG88pWvzD5S9T//5/+MMWPG5Prrlt7B+m//9m9xzz33ZI/2r1mzJnu8/8gjj8w+epWC07SDNs/RtHmZp3POIUCAAAECBAgQIECAwBAE0jtNZ128MHs8f09H+p9Kv7zwmJgyoX0ILTfn1Lx5Q3N6567NFhCcNrsC7p9LIO9CJqDKxemkBguYlw0GdzsCBAgQIECAAAECBOomsHh5dxx7xd2Dtn/buUfFofv1biYq+JE3byj4MHSvTgKC0zrB7qnZL3zhC/HjH/840odzli9fHk899VR0dnZmO+LmzJkTH/rQh7JHg/sfDzzwQNxwww1x5513Zjv3nnzyyezR4XRdeu/knq4baHgbN26MW2+9NftAz09/+tPsMef0zsn0Xsi3vOUt8dGPfjT7evjujr4dhwO1n9pNX1SvxZF3IRNQ1UJbG7UWqPm83LbDedWmcS98vXLMhsLvcK61q/YIECBAgAABAgQIEGi8gB2njTd3x+YJCE4bbN/33sQUeh5wwAFZaJrembhixfPvBklfIV+4cGHsvffe23u2efPmnR4vTiFiujZ9dCe9czEdr3vd6+L73/9+TJkyJfeIPvnJT8ZnPvOZ7PwU1h5yyCHZo8cppN2wYUN2zwULFsQHP/jBXdrsC077vxtzxxMvv/zyeP3rX5+7PwOdKDitCaNGmiRQ0+C0NzTtvu7MWLNkURy/bm6s3toVU0Z1x02d82LyjFnRNWdBoV8P0aQSuC0BAgQIECBAgAABAjUU8I7TGmJqqtACgtMGlyd9EOfNb35zFnTu+H7EtPPzlFNOie7u7mz3aAos+470FfJ99tknzjrrrDjjjDOygLPvSGFpetdi2oF60kknxXXXXZd7RBdeeGHcfffd8ZGPfCR7h+X48eOza9MHcdKfffWrX43Ro0dnu2Nf/erer8XvcAzlHZe5OzTAiYLTWihqo1kCNQtOt4WmXYuvzYZy/5YD4+yec+LKsfPj8LaHsz/rnnmy8LRZhXZfAgQIECBAgAABAhUReHDFujjhqnvi6fU9u4x40vixccNZb4pX7DuxFBp584ZSDEYnay4gOK056fAbvOyyy2Lu3Lmx7777xhNPPLG9oa29b1xOj/TvaTfpNddck4WubW1t2c7V9PXyPMeqVav2eG4Ka//gD/4g7r333vhf/+t/ZV9A3/EQnOYRdg6B5wVqFpz2fnBs2eVHx/SeJXukXdZ+UEw/786dP1SmEAQIECBAgAABAgQIEKixQApPL/3eb+P2xSuyD0W19X4QavbMfePj7zysNKFpIhGc1nhitFhzgtMCFfTb3/52HHfccTFx4sRYu7b3C+05jx1D1fSu0lo9Hp8C03/8x3/M3lOa3lcqOM1ZEKcR6CdQq+A0vUvomIu/FVePvWT7DtMdb5V2oJ7Wc0EsvPCEUny90kQhQIAAAQIECBAgQKD8AqufeS5Wrt0Y0zo7Svm/QwSn5Z+D9RyB4LSeukNs++Mf/3j8/d//fRx11FHxwx/+MPfV6T2n6YNO6Ugfjur/WH3uhvqdmF4ZkD5m9e53vzv7MNXugtPU17RDNu1eTe9vTa8gOO200+LAAw8c7m13e13ehaxWAVVNO6+xygvUal72fb1yxqjH4o6O83dxnb3xsli6df8oy9crKz8xABAgQIAAAQIECBAg0HSBvHlD0zuqA00REJw2hf2Fm6av2P+///f/4utf/3qkx9/HjRsXP/jBD+KNb3xj7p6lx+g/+tGPZo/dp0f803tJR3qsX78+ZsyYEcuXL4/Pf/7zce655+42ON3dfcaOHZt9dOqv//qvR9qN7dfnXchqFVDVrOMaItArUKt5acep6USAAAECBAgQIECgIgK93zeI59bGqk3jYmXvk2fTJnbE1DEber/s3OljsDWeAnnzhhrfVnMlERCcNqlQf/7nfx5f/OIXd7p72tmZwtOh7Bh99NFHs/PT4/qf/exn44ILLqjJiFLoOW/evOyjVEuWLImurq6d2k0fr3r44Yez3agpYJ0wYULcd999cfnll8c3v/nN7Nx/+qd/ig9/+MO5+9O3WO3ugvTu1rSzNe2uHeioVUCVu9NOJJBDoGbz0jtOc2g7hQABAgQIECBAgEDJBbZ9FHbNkkVx/Lq5sXprV0wZ1R03dc6LyTNm+RhsjcsrOK0xaIs1JzhtUkHTI/npnaYbNmyIhx56aPuj7n/5l38Zf/d3f5d96GmwI1371re+NX72s59lj8j/5Cc/ibTbc6THt771rTjxxBN7X+68NXtEP4WjQzk+8pGPxPz587NH9x955JHsna15jloEp2kH74MPPpjdLgW6HR0deW7tHAJ1Fdi4cWMsXbo0u8fBBx8cY8aMGd79tv0XqK7F12bXp3eant1zTlw5dv72d552zzzZf5Eanq6rCBAgQIAAAQIECDRfwH/nb3gNBKcNJy/VDQWnOcv1gQ98IL7yla/kPPuF0y655JJI7y4d7Lj11lvjrLPOimXLlsWZZ54ZV1111YCXbN68OU444YS4+eabY/r06fGjH/0oXvrSlw52m0F/fvfdd8c73vGOSI/qp92vF1100aDX9D+hu7s72x2awqLUv/TBq5EeeReyLb3/IfP73/8+C31f8pKXRGdn72MMDgJNFlizZk22W7p3wY1DDz00+7/DPvp++7y097fPa5//7fPU3t8+3+i3z8MmdSEBAgQIECBAgACBwgh4yqzhpcibNzS8Y25YCAHBac4yfOxjH9vlA0l5Lp07d26kjyzlOdLO0Te84Q3ZbtO0O21PH1hKoeDpp58eX/va1+JFL3pR/N//+3/jkEMOyXOLAc/55S9/GbNnz44UfKZ3pv7DP/zDsNtMO2B/9atfxWWXXRZ/9Vd/Nex2+i4cykKWXiHw7LPPZq8XOOCAA0Z8bw0QGIlACvPTnEw7xFOQnwL9ER/b3ne0evP4F75eOXq99x2NGFYDBAgQIECAAAECBJor4LsGjfcfSt7Q+N65Y7MFBKfNrkC/+6d3iqYv1N90003xZ3/2Z7vtXdqR+n/+z/+JvffeO+666654zWteM+JR3Hvvvdlj/+neH/zgB+Nf/uVfRtRmCoBTEHzppZdGCp1HegxlIVu9enX2kax0JKP0yoA8rz4YaR9dT2BHgfQLjrRzO71/OIWm6bAL2hwhQIAAAQIECBAgQGAggcXLu+PYK+6OGaMeizs6zt/l1NkbL4ulW/eP2849Kg7dzxOWtZhNQ8kbanE/bZRLQHBasHqloC891rund4uef/752QeY0ntDFy5cGK9//etHPIIHHnggjjrqqFi+fHmcfPLJ8Y1vfGNEQeOmTZti2rRp2TiuvvrqOPXUU0fcx6EsZCmwSu9WfeaZZ0Z8Xw0QqJVA2h0+ZcqUWjWnHQIECBAgQIAAAQIEWlDAjtPGF3UoeUPje+eOzRYQnDa7Ajvc/84778welU9H+pJ9+rjRjkd65+inPvWpGD9+fKR3oqYdoiM90jtV/9t/+2/Zu1X/9E//NNKHoYb94ZptnVmwYEH2vtbRo0dn7e6///4j7WYMdSFL74BNO09TeJuCXAeBZgikd5mmX3JMmjTJ+3abUQD3JECAAAECBAgQIFA2Ae84bXjFhpo3NLyDbthUAcFpA/mvv/767BHyOXPmZB9P6jtSyHfNNdfEeeedFytWrMgCzFtuuWWnnl1xxRXZe0fb29uzx/jf+c535u75y172suzc9L7RE088cft16V4pNE0fU3r7298e3/nOd3J9hf6+++6LK6+8Mj784Q/Hq1/96u3tpYDyn//5n7N+pg9D5fnIVd5BDHchS7tPk296z6SDQCMF0ush0i8PRvQhqEZ22L0IECBAgAABAgQIEGi+wLaPwXYtvjbry/1bDoyze86JK8fOj8PbHs7+rHvmydE1Z0H0Pira/P62QA+Gmze0wNANIYeA4DQHUq1O6Qs/U3vpw0/p0d21a9dmuzL7Hit/05velAWY6ZH9vuOxxx7L3o2YQsCpU6fGzJkz99il+fPnxx/8wR/s9PO+4OZLX/pSfOADH9j+s/TRqi984QvZ/5+u2WuvvXbbbvpZarfv+PWvf739Hqk/aSwpJEoBbPqwVDpS+JuC4o6OjprwWchqwqgRAgQIECBAgAABAgQIECi6wLbwdM3SRXH82rmxemtXTB3VHTd2zovJM2YJTWtcP3lDjUFbrDnBaQML+tBDD8U3v/nN7INOKWRMOz7Tbsj0PtAUTr7nPe/J/un/IaN03ctf/vJcPU2P+/d/hH9PwWkKUb/yla8M2u5b3vKWrM99R3r8Pe04/clPfhKLFy+OlStXZjtM04etZs2aFaeffnr8j//xP2q6085CNmiZnECAAAECBAgQIECAAAECrSKQnpp8bm2s3jw+Vq7dGNM6O2LK6PUR7b0fhLLTtKZVljfUlLPlGhOctlxJW3NAFrLWrKtRESBAgAABAgQIECBAgACBZgrIG5qpX/x7C06LXyM97BWwkJkGBAgQIECAAAECBAgQIECAQK0F5A21Fm2t9gSnrVXPlh2NhaxlS2tgBAgQIECAAAECBAgQIECgaQLyhqbRl+LGgtNSlEknLWTmAAECBAgQIECAAAECBAgQIFBrAXlDrUVbqz3BaWvVs2VHYyFr2dIaGAECBAgQIECAAAECBAgQaJqAvKFp9KW4seC0FGXSSQuZOUCAAAECBAgQIECAAAECBAjUWkDeUGvR1mpPcNpa9WzZ0VjIWra0BkaAAAECBAgQIECAAAECBJomIG9oGn0pbiw4LUWZdNJCZg4QIECAAAECBAgQIECAAAECtRaQN9RatLXaE5y2Vj1bdjQWspYtrYERIECAAAECBAgQIECAAIGmCcgbmkZfihsLTktRJp20kJkDBAgQIECAAAECBAgQIECAQK0F5A21Fm2t9gSnrVXPlh2NhaxlS2tgBAgQIECAAAECBAgQIECgaQLyhqbRl+LGgtNSlEknLWTmAAECBAgQIECAAAECBAgQIFBrAXlDrUVbqz3BaWvVs2VHYyFr2dIaGIHWENiyJeK5tbFq07hYuW5jTJvYEVPHbIho74xoa2uNMRoFAQIECBAgQIAAgRYUkDe0YFFrOCTBaQ0xNVU/AQtZ/Wy1TIDACAV6Q9Pu686MNUsWxfHr5sbqrV0xZVR33NQ5LybPmBVdcxYIT0dI7HICBAgQIECAAAEC9RKQN9RLtjXaFZy2Rh1bfhQWspYvsQESKKfAttC0a/G1Wf/v33JgnN1zTlw5dn4c3vZw9mfdM08WnpazunpNgAABAgQIECBQAQF5QwWKPIIhCk5HgOfSxglYyBpn7U4ECAxBYMPTsezyo2N6z5I9XrSs/aCYft6dEeMmDaFhpxIgQIAAAQIECBAg0AgBeUMjlMt7D8FpeWtXqZ5byCpVboMlUBqBVb3vMz3m4m/F1WMv2b7DdMfOpx2op/VcEAsvPCGmTGgvzbh0lAABAgQIECBAgEBVBOQNVan08MYpOB2em6saLGAhazC42xEgkEtg8fLuOPaKu2PGqMfijo7zd7lm9sbLYunW/eO2c4+KQ/fr/VCUgwABAgQIECBAgACBQgnIGwpVjsJ1RnBauJLo0O4ELGTmBQECRRSw47SIVdEnAgQIECBAgAABAvkF5A35rap4puC0ilUv4ZgtZCUsmi4TqIKAd5xWocrGSIAAAQIECBAg0MIC8oYWLm4NhiY4rQGiJuovYCGrv7E7ECAwDIEtW6L7ujOja/G12cXpnaZn95wTV46dv/2dp90zT46uOQsi2tqGcQOXECBAgAABAgQIECBQTwF5Qz11y9+24LT8NazECCxklSizQRIop8C28HTN0kVx/Nq5sXprV0wd1R03ds6LyTNmCU3LWVW9JkCAAAECBAgQqIiAvKEihR7mMAWnw4RzWWMFLGSN9XY3AgSGKNAbnsZza2P15vGxcu3GmNbZEVNGr49o7/0glJ2mQ8R0OgECBAgQIECAAIHGCcgbGmddxjsJTstYtQr22UJWwaIbMgECBAgQIECAAAECBAgQqLOAvKHOwCVvXnBa8gJWpfsWsqpU2jgJECBAoGUEtu3EXrVpi8qTAgAAIABJREFUXKxc17sTe2JHTB2zwU7slimwgRAgQIAAgdYQkDe0Rh3rNQrBab1ktVtTAQtZTTk1RoAAAQIE6ivQ9+7fJb3v/l33/Lt/p/S++/cm7/6tr7vWCRAgQIAAgSELyBuGTFapCwSnlSp3eQdrIStv7fScAAECBComsC007Vp8bTbw+7ccGGf3nBNXjp0fh7c9nP1Z98yTfTitYtPCcAkQIECAQFEF5A1FrUwx+iU4LUYd9GIQAQuZKUKAAAECBEoisOHpWHb50TG9Z8keO7ys/aCYft6dEeMmlWRQukmAAAECBAi0qoC8oVUrW5txCU5r46iVOgtYyOoMrHkCBAgQIFAjgVW97zM95uJvxdVjL9m+w3THptMO1NN6LoiFF54QUya01+iumiFAgAABAgQIDE9A3jA8t6pcJTitSqVLPk4LWckLqPsECBAgUBmBxcu749gr7o4Zox6LOzrO32XcszdeFku37h+3nXtUHLpfZ2VcDJQAAQIECBAopoC8oZh1KUqvBKdFqYR+DChgITNBCBAgQIBAOQTsOC1HnfSSAAECBAgQeF5A3mAmDCQgODU/SiFgIStFmXSSAAECBAhEeMepWUCAAAECBAiUSEDeUKJiNaGrgtMmoLvl0AUsZEM3cwUBAgQIEGiKwJYt0X3dmdG1+Nrs9umdpmf3nBNXjp2//Z2n3TNPjq45CyLa2prSRTclQIAAAQIECPQJyBvMhYEEBKfmRykELGSlKJNOEiBAgACB5wW2hadrli6K49fOjdVbu2LqqO64sXNeTJ4xS2hqnhAgQIAAAQKFEZA3FKYUheyI4LSQZdGp/gIWMnOCAAECBAiUTKA3PI3n1sbqzeNj5dqNMa2zI6aMXh/R3vtBKDtNS1ZM3SVAgAABAq0rIG9o3drWYmSC01ooaqPuAhayuhO7AQECBAgQIECAAAECBAgQqJyAvKFyJR/SgAWnQ+JycrMELGTNkndfAgQIECBAgAABAgQIECDQugLyhtatbS1GJjithaI26i5gIas7sRsQIECAAAECBAgQIECAAIHKCcgbKlfyIQ1YcDokLic3S8BC1ix59yVAgAABAgQIECBAgAABAq0rIG9o3drWYmSC01ooaqPuAhayuhO7AQECBAgQIECAAAECBAgQqJyAvKFyJR/SgAWnQ+JycrMELGTNkndfAgQIECBAgAABAgQIECDQugLyhtatbS1GJjithaI26i5gIas7sRsQIECAAAECBAgQIECAAIHKCcgbKlfyIQ1YcDokLic3S8BC1ix59yVAgAABAgQIECBAgAABAq0rIG9o3drWYmSC01ooaqPuAhayuhO7AQECBAgQIECAAAECBAgQqJyAvKFyJR/SgAWnQ+JycrMELGTNknffEQls2RLx3NpYtWlcrFy3MaZN7IipYzZEtHdGtLWNqGkXEyBAgAABAgQIECBAgMDIBeQNIzds5RYEp61c3RYam4WshYpZlaH0hqbd150Za5YsiuPXzY3VW7tiyqjuuKlzXkyeMSu65iwQnlZlLhgnAQIECBAgQIAAAQKFFZA3FLY0heiY4LQQZdCJwQQsZIMJ+XmhBLaFpl2Lr826df+WA+PsnnPiyrHz4/C2h7M/6555svC0UEXTGQIECBAgQIAAAQIEqiggb6hi1fOPWXCa38qZTRSwkDUR362HLrDh6Vh2+dExvWfJHq9d1n5QTD/vzohxk4bevisIECBAgAABAgQIECBAoCYC8oaaMLZsI4LTli1taw3MQtZa9Wz10azqfZ/pMRd/K64ee8n2HaY7jjntQD2t54JYeOEJMWVCe6tzGB8BAgQIECBAgAABAmUXaOHvN8gbyj4569t/wWl9fbVeIwELWY0gNdMQgcXLu+PYK+6OGaMeizs6zt/lnrM3XhZLt+4ft517VBy6X++HohwECBAgQIAAAQIECBAoqkCLf79B3lDUiVeMfglOi1EHvRhEwEJmipRJwI7TMlWrSX1t4d/YN0nUbQkQIECAAAECBOohUIHvN8gb6jFxWqdNwWnr1LKlR2Iha+nytt7gvOO09WpayxG1+G/sa0mlLQIECBAgQIAAgSYLVOB/28gbmjzHCn57wWnBC6R7zwtYyMyEUglU4LeypapHkTprbhSpGvpCgAABAgQIECAwiEAVnqaTN/hrMJCA4NT8KIWAhawUZdLJHQX6dhUuXRTHr50bq7d2xdRR3XFj57yYPGNWdM1ZENHWxqxqAhX4jX0pSrrtVQkxbtIL3e2tTbT3vnPY38tSlFAnCRAgQIAAgcYIVOH7DfKGxsylst5FcFrWylWs3xayihW8VYa7LZxZvXl8rFy7MaZ1dsSU0euFM61S32GMowq/sR8GS2MvSX8vbzkn4vHfRLz/5ogJUyOeWRXx1T/rfbzhiIjj5gtPG1sRdyNAgAABAgQKLFCF//4qbyjwBCxA1wSnBSiCLgwuYCEb3MgZBAgUX6AKv7EvdBX6QtNfX/18N1/06oiTvhRx/RkRT/zn83925GnC00IXUecIECBAgACBhgpU4IkpeUNDZ1TpbiY4LV3JqtlhC1k1627UBFpNoAq/sS90zdLj+F961wsh6e46m8LUM74bOz3GX+hBVbRz23b0r9o0Llau693RP7Ejpo7ZYEd/RaeDYRMgQIBAHQUq8I5+eUMd508LNC04bYEiVmEIFrIqVNkYCVRAoAK/sS98Ffsey+/bYbpjh1No2vf4fuEHUuEO9r1DeknvO6TXPf8O6Sm975C+yTukKzwpDJ0AAQIE6irQ4t9vkDfUdfaUvnHBaelLWI0BWMiqUWejJNDyAhX4jX0pavjkAxFXztq1q2cvitjn4FIMobKd9HeosqU38III2O1dkELoBoEmCLTw9xvkDU2YTyW6peC0RMWqclctZFWuvrETaDGBFv+NfeGrZcdpMUo03PDFru1i1E8vqilgt3c1627UBCogIG+oQJFHMETB6QjwXNo4AQtZ46zdiQCBBgi08G/sG6A3/Ft4x+nw7Wp55QjCF+8JrmUhtEVgCAJ2ew8By6kECJRNQN5Qtoo1tr+C08Z6u9swBSxkw4RzGQECBAi8IJAC61vOifj11c//WXqn6Ulfirj+jBc+GHXkaRHHzY9oayNXD4ERhi+Ll3fHsVfcHTNGPRZ3dJy/Sw9nb7wslm7dP24796g4dL/OeoxAmwSqKWC3dzXrbtQEKiIgb6hIoYc5TMHpMOFc1lgBC1ljvd2NAAECLSvQF54+/psXPgTV9/j+i48Qmta78CMMX+w4rXeBtE9g9wL+7pkZBAi0soC8oZWrO/KxCU5HbqiFBghYyBqA7BYECBCoisC2VyXEuEkvjDg9xt/eu0PRTtO6zoIRhy8jDF7rOrjU+HDf3Vr3jrkBgZEJ2O09Mj9XEyBQbAF5Q7Hr0+zeCU6bXQH3zyVgIcvF5CQCBAgQIFBogRGHLyN81L+uOCN4d2td+6VxAjUQGPEvPWrQB00QIECgXgLyhnrJtka7gtPWqGPLj8JC1vIlNkACBAgQqIBATcKXvoBy6aI4fu3cWL21K6aO6o4bO+fF5BmzomvOgsbvHC5yoFuBeWWIDRAo+m7vBhC4BQECrSsgb2jd2tZiZILTWihqo+4CFrK6E7sBAQIECBCov0Ctwpdtj8Sv3jw+Vq7dGNM6O2LK6PXNe91CrcZV/wq4A4HhCfjlwPDcXEWAQCkE5A2lKFPTOik4bRq9Gw9FwEI2FC3nEiBAgACBggq0aPhSk520BS2ZbhHYLlDE3d7KQ4AAgRoIyBtqgNjCTQhOW7i4rTQ0C1krVdNYCBAgQKDSAi0Yvoz43a2VnhAGXyqBou32LhWezhIgUFQBeUNRK1OMfglOi1EHvRhEwEJmihAgQIAAgRYSaLHwxY7TFpqbhkKAAAEClROQN1Su5EMasOB0SFxObpaAhaxZ8u5LgAABAgQIDCrgHaeDEjmBAAECBAgUVUDeUNTKFKNfgtNi1EEvBhGwkJkiBAgQIECAQGEFWvTdrYX11jECBAgQIFBDAXlDDTFbsCnBaQsWtRWHZCFrxaoaEwECpRfY9rj1qk3jYuW63i+bT+yIqWM2NO/L5qUHNYBSC7Tgu1tLXQ+dJ0CAAAECOQXkDTmhKnqa4LSihS/bsC1kZauY/hIg0PICfSHRkkVx/Lq5sXprV0wZ1R03dc6LyTNmRdecBRFtbS3PYIAEdhJosXe3qi4BAgQIEKiCgLyhClUe/hgFp8O3c2UDBSxkDcR2KwIECAwm4LHkwYT8nAABAgQIECBAoCQC8oaSFKpJ3RScNgnebYcmYCEbmpezCRAgUFcBH8KpK6/GCRAgQIAAAQIEGicgb2icdRnvJDgtY9Uq2GcLWQWLbsgECBRWYFXv+0yPufhbcfXYS+Lwtod36ef9Ww6M03ouiIUXnhBTJrQXdhw6RoAAAQIECBAgQEDeYA4MJCA4NT9KIWAhK0WZdJIAgYoILF7eHcdecXfMGPVY3NFx/i6jnr3xsli6df+47dyj4tD9OiuiYpgECBAgQIAAAQJlFJA3lLFqjeuz4LRx1u40AgEL2QjwXEqAAIEaC9hxWmNQzREgQIAAAQIECDRNQN7QNPpS3FhwWooy6aSFzBwgQIBAgQS847RAxdAVAgQIECBAgACBkQjIG0ai1/rXCk5bv8YtMUILWUuU0SAIEGgVgS1bovu6M6Nr8bXZiNI7Tc/uOSeuHDt/+ztPu2eeHF1zFkS0tbXKqI2DAAECBAgQIECgBQXkDS1Y1BoOSXBaQ0xN1U/AQlY/Wy0TIEBgWALbwtM1SxfF8WvnxuqtXTF1VHfc2DkvJs+YJTQdFqqLCBAgQIAAAQIEGi0gb2i0eLnuJzgtV70q21sLWWVLb+AECBRZoDc8jefWxurN42Pl2o0xrbMjpoxeH9He+0EoO02LXDl9I0CAAAECBAgQ2CYgbzAVBhIQnJofpRCwkJWiTDpJgAABAgReENgWrK/aNC5WrusN1id2xNQxGwTr5ggBAgQIECBQKAF5Q6HKUbjOCE4LVxId2p2Ahcy8IECAQAEEBGEFKEJJutD3Koclva9yWPf8qxym9L7K4SavcihJAXWTAAECBAhUR0DeUJ1aD2ekgtPhqLmm4QIWsoaTuyEBAgR2FhCEmRF5BXw8LK+U8wgQIECAAIECCMgbClCEAndBcFrg4ujaCwIWMrOBAAECTRQQhDURv4S33vB0LLv86Jjes2SPnV/WflBMP+/OiHGTSjhAXSZAgAABAgRaSUDe0ErVrP1YBKe1N9ViHQQsZHVA1SQBAgTyCgjC8ko5r1dgVe/7TI+5+Ftx9dhL4vC2h3cxuX/LgXFazwWx8MITYsqEdmYECBAgQIAAgaYKyBuayl/4mwtOC18iHUwCFjLzgAABAs0TEIQ1z76Md168vDuOveLumDHqsbij4/xdhjB742WxdOv+cdu5R8Wh+3WWcYj6TIAAAQIECLSQgLyhhYpZh6EITuuAqsnaC1jIam+qRQIECOQVEITllXJeEhC0mwcECBAgQIBAmQTkDWWqVuP7KjhtvLk7DkPAQjYMNJcQIECgRgKCsBpBVqUZr3aoSqWNkwABAgQItISAvKElyli3QQhO60ar4VoKWMhqqaktAgQIDFFAEDZEsIqf7mNiFZ8Ahk+AAAECBMolIG8oV70a3VvBaaPF3W9YAhayYbG5iAABArUREITVxrFKrWybM2uWLorj186N1Vu7Yuqo7rixc15MnjEruuYsiGhrq5KIsRIgQIAAAQIFFZA3FLQwBemW4LQghdCNgQUsZGYIAQIEmiwgCGtyAUp4+945E8+tjdWbx8fKtRtjWmdHTBm9PqK994NQQtMSFlSXCRAgQIBAawrIG1qzrrUaleC0VpLaqauAhayuvBonQIBAPgFBWD4nZxEgQIAAAQIECJRGQN5QmlI1paOC06awu+lQBSxkQxWr8/nbwpNVm8bFynW9u4gmdsTUMRvsIqozu+YJECBAgAABAgQIECBAoLYC8obaerZaa4LTVqtoi47HQlagwvY9rruk9711655/b92U3vfW3eS9dQUqkq4QIECAAAECBAgQIECAQB4BeUMepeqeIzitbu1LNXILWUHK5QMxBSmEbhAgQIAAAQIECBAgQIBALQTkDbVQbN02BKetW9uWGpmFrCDl3PB0LLv86Jjes2SPHVrWflBMP+/OiHGTCtJp3SBAgAABAgQIECBAgAABArsXkDeYGQMJCE7Nj1IIWMiKUaZVve8zPebib8XVYy+Jw9se3qVT9285ME7ruSAWXnhCTJnQXoxO6wUBAgQIECBAgAABAgQIENiDgLzB1BCcmgOlF7CQFaOEi5d3x7FX3B0zRj0Wd3Scv0unZm+8LJZu3T9uO/eoOHS/zmJ0Wi8IECBAgAABAgQIECBAgIDg1BwYhoAdp8NAc0njBQSnjTff3R3tOC1GHfSCAAECBAgQIECAAAECBGojIG+ojWOrtiI4bdXKtti4LGQFKah3nBakELpBgAABAgQIECBAgAABArUQkDfUQrF12xCctm5tW2pkFrKClHPLlui+7szoWnxt1qH0TtOze86JK8fO3/7O0+6ZJ0fXnAURbW0F6bRuECBAgAABAgQIECBQNoH0tNvK3n+mTeyIqb3/OAjUS0DeUC/Z1mhXcNoadWz5UVjIClTibeHpmqWL4vi1c2P11q6YOqo7buycF5NnzBKaFqhUukKAAAECBAgQIECgbAIPrlgXl9z627jjdyti69aIUaMi3jZz3/j4Ow+LV+w7sWzD0d8SCMgbSlCkJnZRcNpEfLfOL2Ahy2/VkDN7w9N4bm2s3jw+Vq7t/S1wZ0dMGb0+or33g1B2mjakBG5CgAABAgQIECBAoNUEUmh6wlX3xNPre3YZ2qTxY+OGs94kPG21ohdgPPKGAhShwF0QnBa4OLr2goCFzGwgQIAAAQIECBAgQIBAawt88Mu/iNsXr9jjIN9+2L7xL6f/YWsjGF3DBeQNDScv1Q0Fp6UqV3U7ayGrbu2NnAABAgQIECBAgACB1hdI7zSddfHC7PH8PR3psf1fXnhMTJnQ3vogRtgwAXlDw6hLeSPBaSnLVr1OW8iqV3MjJkCAAAECBAgQIECgOgKLl3fHsVfcPeiAbzv3qDh0v95XhDkI1EhA3lAjyBZtRnDaooVttWFZyFqtosZDgAABAgQIECBAgACBFwTsODUbmiUgb2iWfDnuKzgtR50q30sLWeWnAAACBAgQIECAAAECBFpcwDtOW7zABR2evKGghSlItwSnBSmEbgwsYCEzQwgQIECAAAECBAgQINDaAg+uWBcnXHVPPL2+Z5eBTho/Nm44603xin0ntjaC0TVcQN7QcPJS3VBwWqpyVbezFrLq1t7ICRAgQIAAAQIECBCojkAKTy/93m/j9sUrsg9FtfV+EGr2zH3j4+88TGhanWnQ0JHKGxrKXbqbCU5LV7JqdthCVs26GzUBAgQIECBAgAABAtUUWP3Mc7Fy7caY1tkRUya0VxPBqBsiIG9oCHNpbyI4LW3pqtVxC1m16m20BAgQIECAAAECBAgQIECgEQLyhkYol/cegtPy1q5SPbeQVarcBkuAAAECBAgQIFBLgS1bIp5bG6s2jYuV63p38E3siKljNkS0d/Y+B91WyztpiwABAqUTkDeUrmQN7bDgtKHcbjZcAQvZcOVcR4AAAQIECBAgUGmB3tC0+7ozY82SRXH8urmxemtXTBnVHTd1zovJM2ZF15wFwtNKTxCDJ0BA3mAODCQgODU/SiFgIStFmXSSAAECBAgQIECgSALbQtOuxddmvbp/y4Fxds85ceXY+XF428PZn3XPPFl4WqSa6QsBAg0XkDc0nLxUNxSclqpc1e2shay6tTdyAgQIECBAgACBYQpseDqWXX50TO9ZsscGlrUfFNPPuzNi3KRh3sRlBAgQKLeAvKHc9at37wWn9RbWfk0ELGQ1YdQIAQIECBAgQIBAhQRW9b7P9JiLvxVXj71k+w7THYefdqCe1nNBLLzwBF8tr9C8MFQCBHYWkDeYEQMJCE7Nj1IIWMhKUSadJECAAAECBAgQKJDA4uXdcewVd8eMUY/FHR3n79Kz2Rsvi6Vb94/bzj0qDt2v90NRDgIECFRQQN5QwaIPYciC0yFgObV5Ahay5tm7MwECBAgQIECAQDkF7DgtZ930mgCBxgrIGxrrXba7CU7LVrGK9tdCVtHCGzYBAgQIECBAgMDwBbzjdPh2riRAoDIC8obKlHpYAxWcDovNRY0WsJA1Wtz9CBAgQIAAAQIESi+wZUt0X3dmdC2+NhtKeqfp2T3nxJVj529/52n3zJOja86CiLa20g/XAAgQIDAcAXnDcNSqc43gtDq1LvVILWSlLp/OEyBAgAABAgQINEtgW3i6ZumiOH7t3Fi9tSumjuqOGzvnxeQZs4SmzaqL+xIgUBgBeUNhSlHIjghOC1kWneovYCEzJwgQIECAAAECBAgMU6A3PI3n1sbqzeNj5dqNMa2zI6aMXh/R3vtBKDtNh4nqMgIEWkVA3tAqlazPOASn9XHVao0FLGQ1BtUcAQIECBAgQIAAAQIECBAgEPIGk2AgAcGp+VEKAQtZKcqkkwQIECBAgAABAgQIECBAoFQC8oZSlavhnRWcNpzcDYcjYCEbjpprCBAgQGBIAtseZY1xk164rPeL1B5lHZKikwkQIECAAAECpRKQN5SqXA3vrOC04eRuOBwBC9lw1FxDgAABArkFUmh6yzkRj/8m4v03R0yYGvHMqoiv/lnEi4+IOG6+9wDmxnQiAQIECBAgQKA8AvKG8tSqGT0VnDZD3T2HLGAhGzKZCwgQIEAgr0BfaPrrq5+/4kWvjjjpSxHXnxHxxH8+/2dHniY8zevpPAIECBAgQIBAiQTkDSUqVhO6KjhtArpbDl3AQjZ0M1cQIECAQE6B9Dj+l971Qki6u8tSmHrGd2Onx/hzNu80AgQIECBAgACB4grIG4pbmyL0THBahCrow6ACFrJBiZxAgAABAiMR6Hssv2+H6Y5tpdC07/H9kdzDtQQIECBAgAABAoUTkDcUriSF6pDgtFDl0Jk9CVjIzA0CBAgQqLvAkw9EXDlr19ucvShin4Prfns3IECAAAECBAgQaLyAvKHx5mW6o+C0TNWqcF8tZBUuvqETIECgEQJ2nDZC2T0IECBAgAABAoUTkDcUriSF6pDgtFDl0Jk9CVjIzA0CBAgQqJuAd5zWjVbDBAgQIECAAIGiC8gbil6h5vZPcNpcf3fPKWAhywnlNAIECBAYusCWLRG3nBPx66ufvza90/SkL0Vcf8YLH4w68rSI4+ZHtLW90H667rm1sWrTuFi5bmNMm9gRU8dsiGjv3Pm8offIFQQIECBAgAABAg0SkDc0CLqktxGclrRwVeu2haxqFTdeAgQINFigLzx9/DcvfAiq7/H9Fx+x29C0+7ozY82SRXH8urmxemtXTBnVHTd1zovJM2ZF15wFwtMGl9DtCBAgQIAAAQLDEZA3DEetOtcITqtT61KP1EJW6vLpPAECBMohsG0HaYyb9EJ/02P8/XeQ9p6XQtOuxddm592/5cA4u+ecuHLs/Di87eHsz7pnniw8LUfV9ZIAAQKtLeDpiNaur9HVREDeUBPGlm1EcNqypW2tgVnIWqueRkOAAIFSC/SGqcsuPzqm9yzZ4zCWtR8U08+7M3YKYUs9aJ0nQIAAgdIJbPtFn6cjSlc5HW6wgLyhweAlu53gtGQFq2p3LWRVrbxxEyBAoHgCq3rfZ3rMxd+Kq8desn2H6Y69TDtQT+u5IBZeeEJMmdBevAHoEQECBAi0voCnI1q/xkZYMwF5Q80oW7IhwWlLlrX1BmUha72aGhEBAgTKKrB4eXcce8XdMWPUY3FHx/m7DGP2xsti6db947Zzj4pD9+v9UJSDAAECBAg0WsDTEY0Wd78SC8gbSly8BnRdcNoAZLcYuYCFbOSGWiBAgACB2gjYcVobR60QIECAQP0E/GdV/Wy13HoC8obWq2ktRyQ4raWmtuomYCGrG62GCRAgQGCoAnbxDFXM+QQIECDQYAFPRzQY3O1KLSBvKHX56t55wWndid2gFgIWslooaoMAAQIEaiLgvXE1YdQIAQIECNRPwI7T+tlqufUE5A2tV9NajkhwWktNbdVNwEJWN1oNEyBAgMBwBPq+VLx0URy/dm6s3toVU0d1x42d82LyjFnRNWdBRFvbcFp2DQECBAgQGLmApyNGbqiFygjIGypT6mENVHA6LDYXNVrAQtZocfcjQIAAgUEFesPTeG5trN48Plau3RjTOjtiyuj1Ee29H4QSmg7K5wQCBAgQqKOApyPqiKvpVhOQN7RaRWs7HsFpbT21VicBC1mdYDVLgAABAgQIECBAgEBrCng6ojXralQ1F5A31Jy0pRoUnLZUOVt3MBay1q2tkREgQIAAAQIECBAgUCcBT0fUCVazrSQgb2ilatZ+LILT2ptqsQ4CFrI6oGqSAIGBBbb9D41Vm8bFynW9j2FP7IipYzZ4DNu8IUCAAAECBAgQINBCAvKGFipmHYYiOK0DqiZrL2Ahq72pFgkQGECg79G2Jb0f/ln3/Id/pvR++OcmH/4xbQgQIECAAAECBAi0lIC8oaXKWfPBCE5rTjpwg1/4whfixz/+cfz7v/97LF++PJ566qno7OyMV77ylTFnzpz40Ic+FO3t7bs08sADD8QNN9wQd955Z/zHf/xHPPnkkzFhwoTsuve85z17vG6g3vT09MT8+fPj5z//edbmihUr4umnn47JkyfHkUceGe973/vitNNO6/2+xZ6/CvyLX/wiLr300vjRj36UXTt9+vR497vfHZ/4xCeiq6urZroWsppRaogAgcEEfExhMCE/J0CAAAECBAgQINAyAvKGlillXQYiOK0L654bTaFkChhT6HnAAQdkoekjjzzT06fvAAAgAElEQVSShZbpeO1rXxsLFy6Mvffee3sjmzdvjjFjxmz//9Nf6nTto48+Go8//nj256973evi+9//fkyZMiX3iNasWbP9PinkTG2OGzcuHnrooSzQTcexxx4bN998827D3GuvvTYLVjdt2hSpT+mf+++/PzZs2BAHH3xw3HPPPbHPPvvk7s9AJ1rIasKoEQIE8ghseDqWXX50TO9Zssezl7UfFNPPuzNi3KQ8LTqHAAECBAgQIECAAIGCCsgbClqYgnRLcNrgQlxxxRXx5je/OQs6e/G33/3WW2+NU045Jbq7u7PdowsWLNj+sxRMpgDyrLPOijPOOCMOOeSQ7T9LYempp56a7UA96aST4rrrrss9ovXr12f3+eM//uNs52rfkYLar3/96/HBD34wC0UvueSS+PjHP75TuynsPfTQQ/8/e/cC7WVd54v/w0b2xgV7ixsxDyoWHJXjpZuU1jScopxs5qSMFNbR1JrWSieYyCMV5WqsNOqAZyh0RZ1xGicnLy2VLmPH8pJ5KQudptJD9gcVlVCCcG88ggj7v58nIK57/36//bs8l9ezlmsZPJfv9/X58iXf+/t8n0jucdlll8W8efPSlalJAHz66afHAw88EGeccUYsXbq04vYITutC5SYECAxRYF3/fqanXn5zXDtifhzX9sRed3tk21FxzpZ5cfslM6J71N5vCAzx8S4nQIAAAQIECBAgQKCJAoLTJmLn8FGC0wwVbeHChTF37tw49NBD45lnntnZsr6+vnQF6P5Wk15//fVp6LojuBw7dmxdejVr1qy46qqr4vWvf30ahO56zJ49O6688sqYNm1a3HHHHbv93sqVK9NwNwlgky0Jktf+h3qYyIYq6HoCBCoVWL6mJ05bdE9MHLY67uy4eK/Lpm1eGCv7xsdtc6bGsYd1Vnpb5xEgQIAAAQIECBAgkEEBeUMGi5KhJglOM1SM7373u+lqzdGjR0dvb2/FLds1VP3pT38aJ598csXXDnRisv/p3/3d38UJJ5wQv/rVr3YLco844ohYvXp1XHfddekeq3seb3/729OtAz71qU+lK1KHepjIhiroegIEKhWw4rRSKecRIECAAAECBAgQyL+AvCH/NWxkDwSnjdSt8t7J6/Bf/OIXY+rUqXH33XdXfHWyz+n48ePT85OPPJ144okVXzvQiUkgmuxjeu6558Y111yz89RVq1bFUUcdlf7v5JX9JETd8/jc5z4Xn/70p+Otb31rumfrUA8T2VAFXU+AQMUC9jitmMqJBAgQIECAAAECBPIuIG/IewUb237BaWN9B7178mX7p556Kt1T9NJLL00/zvTDH/4w3vCGNwx67Y4Tkn1TP/rRj0byin7yiv/w4cMrvnbPEzdv3hyPPfZYuvfpl770pRg3blz85Cc/iUmTJu08NQlCTz311Ojo6Ej3ON11r9YdJ33zm99M91498sgjIwlah3qYyIYq6HoCBCoW2LYtem68ILqW35BekuxpOmtL//YkIxbv3PO0Z/JZ0TWzfy/q/r2dHQQIECBAgAABAgQI5FdA3pDf2jWj5YLTZijv4xkf/OAH4+qrr97td84888w0PK1mxejTTz+dnp+8rv/5z38+/UhTLcfb3va23fYqTcLQ5ENUyarRHatLd9z3W9/6VsycOTNe9rKXxZo1a/b5uO9///vxl3/5l1VtO7BjstrXDZOPTiV7vyarax0ECBBouMD28HTDymUxvXdurO/rirHDeuKWzgUxZuIUoWnDC+ABBAgQIECAAAECBJojIDhtjnNenyI4bVHlklfykz1NN23aFI8//nisW7cuxowZEx/+8Ifjs5/9bPqhp8GO5No3v/nN6YebTjrppHRl6IgRIwa7bJ+/n6xY/fnPfx7PP/98JB936unpicMOOyyS7QM+8pGP7HbNN77xjfT1/YFWk955553pa/rJ6teXXnqpojYJTitichIBAs0S6A9P48XeWL/1wFjbuznGdXZE9/AXItr7PwhVwRzdrGZ6DgECBAgQIECAAAECtQsITmu3K8OVgtMKq3z++efvts9nhZfF/Pnz0/BxsOPWW2+NCy+8MH2t/YILLoivfOUrA16SfLF+xowZ8e1vfzsmTJgQ9957bxpk1uPY1h8WJB99mj17drqS9Qtf+EJ8/OMf33nrRq04HajtJrJ6VNY9CBAgQIAAAQIECBAgQIAAgV0F5A3Gw0ACgtMKx0cSHN50000Vnv2n0+bOnRsf+tCHKrouWTl6yimnpKtNk1Wfe74iv+MmfX19cd5550Wy8jN5Xf7HP/5xHHPMMRU9o5qTkg9DJR+IGj16dCSvyh944IHp5fY4rUbRuQQIECBAICMC21dRr3tpZKzd2L+KenRHjD1gk1XUGSmPZhAgQIAAAQKtERCctsY9L08VnGasUoccckj62v7SpUvjjDPO2GfrkhWpX/3qV+Pggw+OH/3oR/HKV76yIb3YuHFjdHb2v5Laf/ziF7+IV73qVem/J6tid4S6Tz75ZBxxxBF7Pf9zn/tcuj9q8rp+ErQO9TCRDVXQ9QQIECBQaoEd+/au6N+3d+Mf9+3t7t+3d6l9e0s9LHSeAAECBAgQiJA3GAUDCQhOMzY+kjB0w4YN6erW5GNRex4XX3xxXHHFFekq0CSQPPnkkxvWg6QdSXuS48EHH4zXvva16b8nK14PP/zw9ENNySv9yarUPY+3v/3t8YMf/CA++clPxuWXXz7kNprIhkzoBgQIECBQVoHtoWnX8htSgUe2HRWztsyOK0csjuPankh/rWfyWT56Vtbxod8ECBAgQKDkAvKGkg+AQbovOM3Q+Ljrrrti2rRpaYtWrFgREydO3K11l156aXzmM59JX5lP9kRNPgzVyOPrX/96fOADH4iRI0fG73//+xg1atTOx82aNSuuuuqqtL133HHHbs147LHH4uijj45kH9aHHnooXvOa1wy5mSayIRO6Qd4FvGKb9wpqP4HWCWx6LlZd8ZaYsGXFftuwqn1STLjoroiRB7WunZ5MgAABAgQIEGiBgLyhBeg5eqTgtInFSj6q9Mwzz8TMmTPj0EMP3fnkJGC8/vrr46KLLkr3En3nO98Z3/nOd3Zr2aJFiyL58n17e3v6Gv873vGOilv+8pe/PD134cKF8a53vWvndckHqJIQ9q//+q/joIP+9B9KmzZtin/6p3+Kj33sY/H888+nH4n68pe/vNvznnjiiZg8eXIk51522WUxb968dG/WpP2nn356JPu17qsfFTd6jxNNZLXKua4QAl6xLUQZdYJAqwTW9e9neurlN8e1I+bvXGG6a1uSFajnbJkXt18yI7pHtbeqmZ5LgAABAgQIEGiJgLyhJey5eajgtIml2hF+Jo9M9ghNPuzU29ub7hmaBJTJ8cY3vjG+973v7XxFPvm11atXp/uIJq/Ijx07Ng0s93csXrx4rxWe/UVOT09WkJ5//vk7L50zZ0586UtfSgPPV7ziFem9k9fzk/YkgWhyJPusJh+J6ujo2OuRyWv673vf+9KVpclEk/zzyCOPpNdOmjQp7r///t0C4qFQm8iGoufaXAt4xTbX5dN4AlkQWL6mJ05bdE9MHLY67uy4eK8mTdu8MFb2jY/b5kyNYw/7497mDgIECBAgQIBAWQTkDWWpdG39FJzW5lbTVY8//ni6J2jyQadHH300XZ2ZhI7jxo1Lw85kr9DknyTI3PVIrkuCzUqO5HX/PV/h319w+utf/zpuvPHGuPvuuyN5vT5pT3JuMmm87nWvi3PPPTf+6q/+asDH/uxnP4v58+fHfffdFz09PWnAO2PGjPjUpz4VXV1dlTS5onNMZBUxOamIAl6xLWJV9YlAUwWsOG0qt4cRIECAAAECOROQN+SsYE1uruC0yeAeV5uAiaw2N1flX0Dgkf8a6gGBlgv4AUzLS6ABBAgQIECAQHYF5A3ZrU0WWiY4zUIVtGFQARPZoEROKKiAV2wLWljdItBMAVt+NFPbswgQIECAAIGcCcgbclawJjdXcNpkcI+rTcBEVpubq/IvYMVp/muoBwQyIbDjI3Mrl8X03rmxvq8rxg7riVs6F8SYiVOia+aS6N8rKBNN1QgCBAgQIECAQDMF5A3N1M7fswSn+atZKVtsIitl2XU6EfCKrXFAgEC9BPrD03ixN9ZvPTDW9m6OcZ0d0T38hYj2/g9CCU3rpew+BAgQIECAQM4E5A05K1iTmys4bTK4x9UmYCKrzc1VBRDwim0BiqgLBAgQIECAAAECBAhkVUDekNXKZKNdgtNs1EErBhEwkRkipRbwim2py6/zBAgQIECAAAECBAg0TkDe0DjbItxZcFqEKpagDyayEhRZFwcW8IqtEUKAAAECBAgQIECAAIG6C8gb6k5aqBsKTgtVzuJ2xkRW3NrqGQECBAgQIECgJoHtP1Rc99LIWLuxf9/e0R0x9oBN9u2tCdNFBAgQKK+AvKG8ta+k54LTSpSc03IBE1nLS6ABBAgQIECAAIHsCOzYxmbFspi+cW6s7+uK7mE9sbRzQYyZOCW6Zi7x0bPsVEtLCBAgkGkBeUOmy9PyxglOW14CDahEwERWiZJzCBAgQIAAAQIlEPDhxBIUuWBdtDq6YAXVnaIJyBuKVtH69kdwWl9Pd2uQgImsQbBuS4AAAQIECBDIm8Cm52LVFW+JCVtW7Lflq9onxYSL7ooYeVDeeqe9RROwOrpoFdWfAgrIGwpY1Dp2SXBaR0y3apyAiaxxtu5MgAABAgQIEMiTwLr+/UxPvfzmuHbE/Diu7Ym9mv7ItqPinC3z4vZLZkT3qPY8dU1biyZgdXTRKqo/BRWQNxS0sHXqluC0TpBu01gBE1ljfd2dAAECBAgQIJAXgeVreuK0RffExGGr486Oi/dq9rTNC2Nl3/i4bc7UOPawzrx0SzuLKGB1dBGrqk8FFJA3FLCodeyS4LSOmG7VOAETWeNs3ZkAAQIECBAgkCcBK07zVK1yt9VYLXf99T4/AvKG/NSqFS0VnLZC3TOrFjCRVU3mAgIECBAgQIBAMQWs4itmXQvYK6ujC1hUXSqkgLyhkGWtW6cEp3WjdKNGCpjIGqnr3gQIECBAgACBHAnYNzJHxSp3U604LXf99T4/AvKG/NSqFS0VnLZC3TOrFjCRVU3mAgIECBAgQIBAcQV2fKl85bKY3js31vd1xdhhPXFL54IYM3FKdM1cEtHWVtz+61k+BKyOzkedtLL0AvKG0g+BAQEEp8ZHLgRMZLkok0YSIECAAAECBJon0B+exou9sX7rgbG2d3OM6+yI7uEvRLT3fxBKaNq8OnjS/gWsjjY6CORCQN6QizK1rJGC05bRe3A1AiayarScS4AAAQIECBAgQIBAJgSsjs5EGTSCwEAC8gbjYyABwanxkQsBE1kuyqSRBAgQIECAAAECBAjsKWB1tDFBINMC8oZMl6fljROctrwEGlCJgImsEiXnECBAgAABAgQIECBAgAABAtUIyBuq0SrfuYLT8tU8lz02keWybBpNgAABAgQIECBAgAABAgQyLSBvyHR5Wt44wWnLS6ABlQiYyCpRcg4BAgQIECBAgAABAgQIECBQjYC8oRqt8p0rOC1fzXPZYxNZLsum0QQIECBAgAABAgQIECBAINMC8oZMl6fljROctrwEGlCJgImsEiXnECBAgAABAgQIECBAgAABAtUIyBuq0SrfuYLT8tU8lz02keWybBpNgAABAgQIECBAgAABAgQyLSBvyHR5Wt44wWnLS6ABlQiYyCpRcg4BAgQIECBAgAABAgQIECBQjYC8oRqt8p0rOC1fzXPZYxNZLsum0QQIECBAgAABAgQIECBAINMC8oZMl6fljROctrwEGlCJgImsEiXnECBAgAABAgQIECBAgAABAtUIyBuq0SrfuYLT8tU8lz02keWybBpNgAABAgQIECBAgAABAgQyLSBvyHR5Wt44wWnLS6ABlQiYyCpRcg4BAgQIECBAgAABAgQIECBQjYC8oRqt8p0rOC1fzXPZYxNZLsum0QQIECBAgAABAgQIECBAINMC8oZMl6fljROctrwEGlCJgImsEiXnECBAgAABAgQIECBQGoFt2yJe7I11L42MtRs3x7jRHTH2gE0R7Z0RbW2lYdBRAkMVkDcMVbDY1wtOi13fwvTORFaYUuoIAQIECBAgQIAAAQJDFegPTXtuvCA2rFgW0zfOjfV9XdE9rCeWdi6IMROnRNfMJcLToRq7vjQC8obSlLqmjgpOa2JzUbMFTGTNFvc8AgQIECBAgAABAgQyKbA9NO1afkPavEe2HRWztsyOK0csjuPankh/rWfyWcLTTBZPo7IoIG/IYlWy0ybBaXZqoSUDCJjIDA8CBAgQIECAAAECBAj0C2x6LlZd8ZaYsGXFfjlWtU+KCRfdFTHyIGQECAwiIG8wRAYSEJwaH7kQMJHlokwaSYAAAQIECBAgQIBAgwXW9e9neurlN8e1I+bvXGG66yOTFajnbJkXt18yI7pHtTe4NW5PIP8C8ob817CRPRCcNlLXvesmYCKrG6UbESBAgAABAgQIECCQY4Hla3ritEX3xMRhq+POjov36sm0zQtjZd/4uG3O1Dj2sP4PRTkIEBhQQN5ggAwkIDg1PnIhYCLLRZk0kgABAgQIECBAgACBBgtYcdpgYLcvnYC8oXQlr6rDgtOquJzcKgETWavkPZcAAQIECBAgQIAAgUwJ2OM0U+XQmPwLyBvyX8NG9kBw2khd966bgImsbpRuRIAAAQIECBAgQIBAngW2bYueGy+IruU3pL1I9jSdtWV2XDli8c49T3smnxVdM5dEtLXluafaTqApAvKGpjDn9iGC09yWrlwNN5GVq956S4AAAQIECBAgQIDAAALbw9MNK5fF9N65sb6vK8YO64lbOhfEmIlThKYGD4EqBOQNVWCV8FTBaQmLnscum8jyWDVtJkCAAAECBAgQIECgYQL94Wm82Bvrtx4Ya3s3x7jOjuge/kJEe/8Hoaw0bRi7GxdPQN5QvJrWs0eC03pqulfDBExkDaN1YwIECBAgQIAAAQIECBAgUFoBeUNpS19RxwWnFTE5qdUCJrJWV8DzCRAgQIAAAQIECBAgQIBA8QTkDcWraT17JDitp6Z7NUzARNYwWjcmQIAAAQIECBAgQIAAAQKlFZA3lLb0FXVccFoRk5NaLWAia3UFPJ8AAQIECBAgQIAAAQIECBRPQN5QvJrWs0eC03pqulfDBExkDaN1YwIECBAgQIAAAQIECBAgUFoBeUNpS19RxwWnFTE5qdUCJrJWV8DzCRAgQIAAAQIECBAgQIBA8QTkDcWraT17JDitp6Z7NUzARNYwWjcmQIAAAQIECBAgQIAAAQKlFZA3lLb0FXVccFoRk5NaLWAia3UFPJ8AAQIECBAgQIAAAQIECBRPQN5QvJrWs0eC03pqulfDBExkDaN1YwIECBAgQIAAAQIECBAgUFoBeUNpS19RxwWnFTE5qdUCJrJWV8DzCRAgQIAAAQIECBAgQIBA8QTkDcWraT17JDitp6Z7NUzARNYwWjcmQIAAAQIECBAgQIAAAQKlFZA3lLb0FXVccFoRk5NaLWAia3UFPJ8AAQIEqhbYti3ixd5Y99LIWLtxc4wb3RFjD9gU0d4Z0dZW9e1cQIAAAQIECBAgUH8BeUP9TYt0R8FpkapZ4L6YyApcXF0jQIBAEQX6Q9OeGy+IDSuWxfSNc2N9X1d0D+uJpZ0LYszEKdE1c4nwtIh11ycCBAgQIEAgdwLyhtyVrKkNFpw2ldvDahUwkdUq5zoCBAgQaLrA9tC0a/kN6aMf2XZUzNoyO64csTiOa3si/bWeyWcJT5teGA8kQIAAAQIECOwtIG8wKgYSEJwaH7kQMJHlokwaSYAAAQKJwKbnYtUVb4kJW1bs12NV+6SYcNFdESMPYkaAAAECBKoXsB1M9WauILAfAXmDoSE4NQZyL2Aiy30JdYAAAQKlEVjXv5/pqZffHNeOmL9zhemunU9WoJ6zZV7cfsmM6B7VXhoXHSVAgACBOgnYDqZOkG5D4I8C8gYjQXBqDORewESW+xLqAAECBEojsHxNT5y26J6YOGx13Nlx8V79nrZ5YazsGx+3zZkaxx7W/6EoBwECBAgQqFTAdjCVSjmPQMUC8oaKqUp5olf1S1n2/HXaRJa/mmkxAQIEyipgxWlZK6/fBAgQaIKA7WCagOwRZROQN5St4tX1V3BanZezWyRgImsRvMcSIECAQPUC/qO2ejNXECBAgEBFAn44VxGTkwhUJSBvqIqrdCcLTktX8nx22ESWz7ppNQECBEop4DXKUpZdpwkQINAMAdvBNEPZM8omIG8oW8Wr66/gtDovZ7dIwETWIniPJUCAAIHaBHZ8uGPlspjeOzfW93XF2GE9cUvnghgzcUp0zVwS0dZW271dRYAAAQKlFbDitLSl1/EGCsgbGohbgFsLTgtQxDJ0wURWhirrIwECBAom0B+exou9sX7rgbG2d3OM6+yI7uEvRLT3fxBKaFqwYusOAQKFFtg+n697aWSs3dg/n4/uiLEHbGrNfG47mEIPNZ1rjYC8oTXueXmq4DQvlSp5O01kJR8Auk+AAAECBAgQIECgFQI73iBY0f8GwcY/vkHQ3f8GwdJWvUFgO5hWjALPLLiAvKHgBR5i9wSnQwR0eXMETGTNcfYUAgQIECBAgAABAgS2C2Q1pLQdjCFKoK4C8oa6chbuZoLTwpW0mB0ykRWzrnpFgAABAgQIECBAILMCWX4t3nYwmR02GpY/AXlD/mrWzBYLTpup7Vk1C5jIaqZzIQECBAgQIECAAAECNQj4EFMNaC4hkEMBeUMOi9bEJgtOm4jtUbULmMhqt3MlAQIECBAgQIAAAQLVCyxf0xOnLbonJg5bHXd2XLzXDaZtXhgr+8bHbXOmxrGH9X/4z0GAQC4F5A25LFvTGi04bRq1Bw1FwEQ2FD3XEiBAgAABAgQIECBQrYAVp9WKOZ9APgXkDfmsW7NaLThtlrTnDEnARDYkPhcTIECAAAECBAgQIFCtQJb3OK22L84nQGC/AvIGg2MgAcGp8ZELARNZLsqkkQQIECBAgAABAgSKI7D96/Vdy29I+/TItqNi1pbZceWIxXFc2xPpr/VMPiu6Zi6JaGsrTr/1hEDJBOQNJSt4ld0VnFYJ5vTWCJjIWuPuqQQIECBAgAABAgRKLbA9PN2wcllM750b6/u6Yuywnrilc0GMmThFaFrqwaHzRRGQNxSlko3ph+C0Ma7uWmcBE1mdQd2OAAECBAgQIECAAIHKBPrD03ixN9ZvPTDW9m6OcZ0d0T38hYj2/g9CWWlamaGzCGRYQN6Q4eJkoGmC0wwUQRMGFzCRDW7kDAIECBAgQIAAAQIECBAgQKA6AXlDdV5lO1twWraK57S/JrKcFk6zCRAgQIAAAQIECBAgQIBAhgXkDRkuTgaaJjjNQBE0YXABE9ngRs4gQIAAAQIECBAgQIAAAQIEqhOQN1TnVbazBadlq3hO+2siy2nhNJsAAQIECBAgQIAAAQIECGRYQN6Q4eJkoGmC0wwUQRMGFzCRDW7kDAIECBAgQIAAAQIECBAgQKA6AXlDdV5lO1twWraK57S/JrKcFk6zCRAgQIAAAQIECBAgQIBAhgXkDRkuTgaaJjjNQBE0YXABE9ngRs4gQIAAAQIECBAgQIAAAQIEqhOQN1TnVbazBadlq3hO+2siy2nhNJsAAQIECBAgQIAAAQIECGRYQN6Q4eJkoGmC0wwUQRMGFzCRDW7kDAIECBAgQIAAAQIECBAgQKA6AXlDdV5lO1twWraK57S/JrKcFk6zCRAgQIAAAQIECBAgQIBAhgXkDRkuTgaaJjjNQBE0YXABE9ngRs4gQIAAAQIECBAgQIAAAQIEqhOQN1TnVbazBadlq3hO+2siy2nhNJsAAQIECBAgQIAAAQIECGRYQN6Q4eJkoGmC0wwUQRMGFzCRDW7kDAIECBAgQIAAAQIECBAgQKA6AXlDdV5lO1twWraK57S/JrKcFk6zCRAgQIAAAQIECBAgQIBAhgXkDRkuTgaaJjjNQBE0YXABE9ngRs4gQIAAAQIECBAgQIAAAQIEqhOQN1TnVbazBadlq3hO+2siy2nhNJsAAQIECBAgQIAAAQIECGRYQN6Q4eJkoGmC0wwUQRMGFzCRDW7kDAIECBAgQIAAAQIE+gW2bYt4sTfWvTQy1m7cHONGd8TYAzZFtHdGtLUhIkCAwG4C8gYDYiABwanxkQsBE1kuyqSRBAgQIECAAAECBFor0B+a9tx4QWxYsSymb5wb6/u6ontYTyztXBBjJk6JrplLhKetrZCnE8icgLwhcyXJVIMEp5kqh8bsT8BEZmwQIECAAAECBAgQIDCgwPbQtGv5Delpj2w7KmZtmR1Xjlgcx7U9kf5az+SzhKeGEQECuwnIGwyIgQQEp8ZHLgRMZLkok0YSIECAAAECBAgQaJ3Apudi1RVviQlbVuy3DavaJ8WEi+6KGHlQ69rpyQQIZEpA3pCpcmSuMYLTzJVEg/YlYCIzLggQIECAAAECBAgQGEhgXf9+pqdefnNcO2L+zhWmu56frEA9Z8u8uP2SGdE9qh0mAQIEUgF5g4EwkIDg1PjIhYCJLBdl0kgCBAgQIECAAAECLRNYvqYnTlt0T0wctjru7Lh4r3ZM27wwVvaNj9vmTI1jD+v/UJSDAAECglNjYBABwakhkgsBwWkuyqSRBAgQIJBDgWSF1s6vTvd/edpBgACBvApYcZrXymk3gdYKyBta65/1pwtOs14h7UsFTGQGAgECBAgQqK/A//fsxph/6/+NO3/zbPT1RQwbFvHWyYfGJ97xX+I/Hzq6vg9zNwIECDRDwB6nzVD2DAKFE5A3FK6kde2Q4LSunG7WKAETWaNk3ZcAAQIEyiiQhKYzvnJ/PPfClgL4JukAACAASURBVL26f9CBI+KmC98oPC3jwNBnAnkX2LYtem68ILqW35D2JNnTdNaW2XHliMU79zztmXxWdM1cEtHWlvfeaj8BAnUSkDfUCbKgtxGcFrSwReuWiaxoFdUfAgQIEGilwN/888/jjuXP7rcJb/svh8Y/nve6VjbRswkQIFCbwPbwdMPKZTG9d26s7+uKscN64pbOBTFm4hShaW2qriJQaAF5Q6HLO+TOCU6HTOgGzRAwkTVD2TMIECBAoAwCyR6AUy6/PX09f39H8tr+g5ec6qvTZRgQ+kigiAL94Wm82Bvrtx4Ya3s3x7jOjuge/kJEe/8Hoaw0LWLF9YnAkATkDUPiK/zFgtPCl7gYHTSRFaOOekGAAAECrRfY8dXpwVriq9ODCfl9AgQIECBAoAgC8oYiVLFxfRCcNs7WnesoYCKrI6ZbESBAgECpBaw4LXX5dZ4AAQIECBDYQ0DeYEgMJCA4NT5yIWAiy0WZNJIAAQIEciJgj9OcFEozCRAgQIAAgYYLyBsaTpzrBwhOc12+8jTeRFaeWuspAQIECDRe4P97dmPM+Mr98dwLW/Z62EEHjoibLnxj/OdDRze+IZ5AgAABAgQIEGixgLyhxQXI+OMFpxkvkOb9UcBEZiQQIECAAIH6CiTh6Re+/3/jjuXPph+Kauv/INS0yYfGJ97xX4Sm9aV2NwIECBAgQCDDAvKGDBcnA00TnGagCJowuICJbHAjZxAgQIAAgVoE1j//4p++Oj2qvZZbuIYAAQIECBAgkFsBeUNuS9eUhgtOm8LsIUMVMJENVdD1BAgQIECAAAECBAgQIECAwJ4C8gZjYiABwanxkQsBE1kuyqSRBAgQIECAAAECBAgQIEAgVwLyhlyVq+mNFZw2ndwDaxEwkdWi5hoCBAgQIECAAAECBAgQIEBgIAF5g/ExkIDg1PjIhYCJLBdl0kgCBAgQIECAAAECBAgQIJArAXlDrsrV9MYKTptO7oG1CJjIalFzDQECBAgQIECAAAECBAgQIDCQgLzB+BhIQHBqfORCwESWizJpJAECBAgQIECAAAECBAgQyJWAvCFX5Wp6YwWnTSf3wFoETGS1qLmGAAECBAgQIECAAAECBAgQGEhA3mB8DCQgODU+ciFgIstFmTSSAAECBAgQIECAAAECBAjkSkDekKtyNb2xgtOmk3tgLQImslrUXEOAAAECBAgQIECAAAECNQts2xbxYm+se2lkrN24OcaN7oixB2yKaO+MaGur+bYuzJaAvCFb9chaawSnWauI9uxTwERmYBAgQIAAAQIECBAgQIBA0wT6Q9OeGy+IDSuWxfSNc2N9X1d0D+uJpZ0LYszEKdE1c4nwtGnFaOyD5A2N9c373QWnea9gSdpvIitJoXWTAAECBAgQIECAAAECrRbYHpp2Lb8hbckj246KWVtmx5UjFsdxbU+kv9Yz+SzhaavrVKfnyxvqBFnQ2whOC1rYonXLRFa0iuoPAQIECBAgQIAAAQIEMiqw6blYdcVbYsKWFftt4Kr2STHhorsiRh6U0U5oVqUC8oZKpcp5nuC0nHXPXa9NZLkrmQYTIECAAAECBAgQIEAglwLr+vczPfXym+PaEfN3rjDdtSPJCtRztsyL2y+ZEd2j2nPZR43+k4C8wWgYSEBwanzkQsBElosyaSQBAgQIECBAgAABAgRyL7B8TU+ctuiemDhsddzZcfFe/Zm2eWGs7Bsft82ZGsce1v+hKEeuBeQNuS5fwxsvOG04sQfUQ8BEVg9F9yBAgAABAgQIECBAgACBwQSsOB1MqFi/L28oVj3r3RvBab1F3a8hAiayhrC6KQECBAgQIECAAAECBAjsKWCP01KNCXlDqcpddWcFp1WTuaAVAiayVqh7JgECBAgQIECAAAECBEoosG1b9Nx4QXQtvyHtfLKn6awts+PKEYt37nnaM/ms6Jq5JKKtrYRAxeqyvKFY9ax3bwSn9RZ1v4YImMgawuqmBAgQIECAAAECBAgQILAvge3h6YaVy2J679xY39cVY4f1xC2dC2LMxClC0wKNGnlDgYrZgK4IThuA6pb1FzCR1d/UHQkQIECAAAECBAgQIEBgAIH+8DRe7I31Ww+Mtb2bY1xnR3QPfyGivf+DUFaaFmboyBsKU8qGdERw2hBWN623gIms3qLuR4AAAQIECBAgQIAAAQIECMgbjIGBBASnxkcuBExkuSiTRhIgQIAAAQIECBAgQIAAgVwJyBtyVa6mN1Zw2nRyD6xFwERWi5prCBAgQIAAAQIECBAgQIAAgYEE5A3Gx0ACglPjIxcCJrJclEkjCRAgQIAAAQIECBAgQIBArgTkDbkqV9MbKzhtOrkH1iJgIqtFzTUECBAgQIAAAQIECBAgQIDAQALyBuNjIAHBqfGRCwETWS7KpJEECBAgQIAAAQIECBAgQCBXAvKGXJWr6Y0VnDad3ANrETCR1aLmGgIECBAgQIAAAQIECBAgQGAgAXmD8TGQgODU+MiFgIksF2XSSAIECBAgQIAAAQIECBAgkCsBeUOuytX0xgpOm07ugbUImMhqUXMNAQIECBAgQIAAAQIECBAgMJCAvMH4GEhAcGp85ELARJaLMmkkAQIECBAgQIAAAQIECBDIlYC8IVflanpjBadNJ/fAWgRMZLWouYYAAQIECBAgQIAAAQIECBAYSEDeYHwMJCA4NT5yIWAiy0WZNJIAAQIECNRHYNu2iBd7Y91LI2Ptxs0xbnRHjD1gU0R7Z0RbW32e4S4ECBAgQIAAgX4BeYNhIDg1BnIvYCLLfQl1gAABAgQIVCbQH5r23HhBbFixLKZvnBvr+7qie1hPLO1cEGMmTomumUuEp5VJOosAAQIECBCoQEDeUAFSiU+x4rTExc9T101keaqWthIgQIAAgRoFtoemXctvSG/wyLajYtaW2XHliMVxXNsT6a/1TD5LeFojr8sIECBAgACBvQXkDUbFQAKCU+MjFwImslyUSSMJECBAgMDQBDY9F6uueEtM2LJiv/dZ1T4pJlx0V8TIg4b2LFcTIECAAAECBPoF5A2GgeDUGMi9gIks9yXUAQIECBAgMKjAuv79TE+9/Oa4dsT8nStMd70oWYF6zpZ5cfslM6J7VPug93MCAQIECBAgQGAwAXnDYELl/n0rTstd/9z03kSWm1JpKIH9C/jYi9FBgMAgAsvX9MRpi+6JicNWx50dF+919rTNC2Nl3/i4bc7UOPaw/g9FOQgQIECAAAECQxSQNwwRsOCXC04LXuCidM9EVpRK6kdpBXzspbSl13EC1QhYcVqNlnMJECBAgACBegjIG+qhWNx7CE6LW9tC9cxEVqhy6kzZBHzspWwV118CtQvY47R2O1cSIECAAAECNQnIG2piK81FgtPSlDrfHTWR5bt+Wl9yAUFIyQeA7hOoQsAPWqrAcioBAgQIECBQDwF5Qz0Ui3sPwWlxa1uonpnIClVOnSmZgFdvS1Zw3SUwVIEdW3usXBbTe+fG+r6uGDusJ27pXBBjJk6JrplLItrahvoU1xMgQIAAAQIEUgF5g4EwkIDg1PjIhYCJLBdl0kgC+xTwsRcDgwCBqgW2f0xu/dYDY23v5hjX2RHdw1+IaO//IJTQtGpOFxAgQIAAAQL7F5A3GB2CU2Mg9wImstyXUAdKLGDFaYmLr+sECBAgQIAAAQIEMi4gb8h4gVrcPCtOW1wAj69MwERWmZOzCGRSwB6nmSyLRhEgQIAAAQIECBAg4FV9Y2BgAcGpEZILAcFpLsqkkQT2LeBjL0YGAQIECBAgQIAAAQIZFZA3ZLQwGWmW4LTJhfja174W9913X/z7v/97rFmzJv7whz9EZ2dnHH/88TFz5sz40Ic+FO3t7Xu16re//W3cdNNNcdddd8Uvf/nL+P3vfx+jRo1Kr3vPe96z3+sG6t6WLVti8eLF8bOf/Sy957PPPhvPPfdcjBkzJl796lfH+973vjjnnHP6txLb+wMMl156aXzmM58ZUO/73/9+nHbaaXURNpHVhdFNCLROwMdeWmfvyQQIECBAgAABAgQI7FdA3mBwDCQgOG3y+EhCySScTELPww8/PA1Nn3zyyTS0TI7Xvva1cfvtt8fBBx+8s2Vbt26NAw44YOf/Tv5QJ9c+/fTT8bvf/S799ZNOOil+8IMfRHd3d8U92rBhw87ndHV1pfccOXJkPP7442mgmxxJ8Pntb397rzB3R3B65JFHxoQJE/b5zCuuuCJOPvnkitsz0IkmsrowugmB1gr42Etr/T2dAAECBAgQIECAAIG9BOQNBsVAAoLTJo+PRYsWxZve9KY06OzH3/n0W2+9Nd773vdGT09Punp0yZIlO3/vpZdeikMOOSQuvPDCeP/73x/HHHPMzt9LwtKzzz47XYH67ne/O2688caKe/TCCy+kz/mLv/iLdOXqjiMJav/1X/81/uZv/iaSZ8+fPz8+8YlP7HbfHcHp3//930fy740+TGSNFnZ/AgQIECBAgAABAgQIECBQPgF5Q/lqXk2PBafVaDX43IULF8bcuXPj0EMPjWeeeWbn0/r6+tIVoPtbTXr99denoWvySn2ycnXs2LF1aemsWbPiqquuite//vXxwAMPCE7rouomBAgQIECAAAECBAgQIECAQFYEBKdZqUQ22yE4zVBdvvvd78bpp58eo0ePjt7e3opbtmuo+tOf/rRur8cn+5/+3d/9XZxwwgnxq1/9SnBacUWcSIAAAQIECBAgQIAAAQIECORBQHCahyq1ro2C09bZ7/Xk5HX4L37xizF16tS4++67K25Zss/p+PHj0/OTjzydeOKJFV870InJR6duuOGGOPfcc+Oaa67ZZ3CatDVZIbtu3br0o1LJFgTJB6WOOuqourRhx01MZHXldDMCBAgQIECAAAECBAgQIECgX0DeYBgMJJDb4DRZkZl8mf5lL3tZHHvssfvt429+85v0tffko0vJSs6sHcmX7Z966ql0T9Fkr9Dk40w//OEP4w1veEPFTU32Tf3oRz+avqKf9HX48OEVX7vniZs3b47HHnss3fv0S1/6UowbNy5+8pOfxKRJk/YZnO7rQSNGjIjLLrssPvaxj9Xcjj0vNJHVjdKNCBAgQIAAAQIECBAgQIAAge0C8gZDoZDBabIf6Mc//vH46le/Gh/84Af328d//Md/TD+2lHzhfc6cOZkZDUmbr7766t3ac+aZZ6bhaTUrRp9++un0/OR1/c9//vMxb968mvr4tre9Le64446d1yYfrko+RPXpT396n6tHk2D1iSeeiKTNEydOjFGjRsXDDz+cOl933XXpfZL9Uf/2b/+24vbsmKz2dUGyd2uysjVZXesgQIAAAQIECBAgQIAAAQIECNRDQHBaD8Xi3iO3K06TL9P//Oc/jw0bNsSBBx643wr9v//3/+Lggw9O9/388Y9/nJlKJq/kJ3uabtq0KR5//PGdr7p/+MMfjs9+9rPph54GO5Jr3/zmN6cfbkpekU9WhiarPWs5khWriefzzz8fK1eujJ6enjjssMMi2T7gIx/5SFW3TPZFTfZHTV7df/LJJyte6Ss4rYrZyQQIECBAgAABAgQIECBAgMAQBQSnQwQs+OW5DU6TgZ28ev/b3/520BIdffTRkQSoyerMWo/zzz9/r30+K7nX/Pnz0/BxsOPWW2+NCy+8MFatWhUXXHBBfOUrXxnwkq1bt8aMGTPi29/+dkyYMCHuvffeOPLIIwd7TEW/v23btnTV6OzZs9OVrF/4whfS1b2VHknomqwOTV77T9qXfPBqqIeJbKiCridAgAABAgQIECBAgAABAgT2FJA3GBMDCeQ2OE32An3Vq16VrrYc7EhWm/7Hf/xHurqz1iMJDm+66aaqL587d266VUAlR9KXU045JV1tmqz63N8Hlvr6+uK8886Lb3zjG+ker8lK2mOOOaaSR1R1TvJhqOQDUUlAnbwqP9DK3j1vnKyAfeihhyLZUuF//I//UdVz93WyiWzIhG5AgAABAgQIECBAgAABAgQI7CEgbzAkChmcJqsrX3jhhVi7dm0k+3Hu70hWTyYfOOro6IjVq1dnfjQccsgh6Wv7S5cujTPOOGOf7U1WpCZ7uyZbEPzoRz+KV77ylQ3p18aNG6OzszO99y9+8Ys0qK70SALgJAiudrXq/u5vIqtU3nkECBAgQIAAAQIECBAgQIBApQLyhkqlynlebleczpw5M10BmnxgKXmNfn/HNddck37k6K//+q9rWjHa7GGRhKHJvq1J35IPL+15XHzxxekHmJJVoLfffnu6d2ujjqQdSXuS48EHH4zXvva1FT3qpZdeSsPq5Pprr702zj777IquG+gkE9mQCd2AAAECBAgQIECAAAECBAgQ2ENA3mBIDCSQ2+A0eT09+TBS8vp48iGiJDzd9YNKyUrTJDSdNWtW+op+EjK+5S1vyfRouOuuu2LatGlpG1esWJF+rX7X49JLL43PfOYzaZ+TPVGT/jfy+PrXvx4f+MAHItkW4fe//32MGjWqosctWbIk3a91+PDh6Z6t48ePr+g6wemQmdyAAAECBAgQIECAAAECBAgQqEJAcFoFVglPzW1wmtQqWX35v/7X/0pf1U9ecZ8yZUr6JfdkpWOyQjJ5jT/ZD/Siiy5K99ps9fGtb30rnnnmmUhWyyYfT9pxJB96uv7669N2JnuJvvOd74zvfOc7uzV30aJFkXz5vr29PX2N/x3veEfF3Xn5y1+enpsYvOtd79p5XfIBqiSETVbjHnTQQTt/PQma/+mf/ik+9rGPxfPPP59+JOrLX/7yzt9/+OGH48orr4y//du/jRNPPHHnrycrTf/3//7faTuTD0NV8pGrSjthIqtUynkECBAgQIAAAQIECBAgQIBApQLyhkqlynleroPTpGRXXXVVfPazn01D0j2PJJxMVmkmAV4Wjh3hZ9KW5MNPyYedent701WZSUCZHG984xvje9/73s5X5JNfS/ZmPeKII9IQeOzYsTF58uT9didZffua17xmt9/fsQdssoJ0120N5syZE1/60pfSlbqveMUr0nsnoXPSnh0f0kr2WU0+EpXsEbvjSPY73fGM5JqkL8k9Hn300ejp6UlPS8LfJCje9bqh1MBENhQ91xIgQIAAAQIECBAgQIAAAQL7EpA3GBcDCeQ+OE06l6xuvO++++KRRx5Jg7uurq44/vjj48/+7M/SFZpZOR5//PG47rrr0g86JSFjsro0WW2a7AeaBJHJF+yTf3bdciBpe3JdEmxWciSv++/5Cv/+gtNf//rXceONN8bdd98djz32WNqe5Nxk0njd614X5557bvzVX/3VXo9NwtVkxelPfvKTWL58eRpaJzXYser3vPPOS1exDvTRrkr6sus5JrJqxZxPgAABAgQIECBAgAABAgQIDCYgbxhMqNy/X4jgtNwlLEfvTWTlqLNeEiBAgAABAgQIECBAgACBZgrIG5qpnb9nCU7zV7NStthEVsqy6zQBAgQIECBAgAABAgQIEGiogLyhoby5v3nug9Pk9fzkw0XJK+pPPfVU+sp48pGiHcdXv/rVeOKJJ+ITn/hE+gq/I58CJrJ81k2rCRAgQIAAAQIECBAgQIBAlgXkDVmuTuvbluvgNPmCe/LF9xdffHGnZLKvZrJv6I4jCVWTr7z/y7/8S5x99tmtF9eCmgRMZDWxuYgAAQIECBAgQIAAAQIECBAYQEDeYHgMJJDb4DT5GNTUqVNj9OjRcdlll8X06dPjve99b/rBol2D09/97ndx+OGHx4wZM9KvvDvyKWAiy2fdtJoAAQIECBAgQIAAAQIECGRZQN6Q5eq0vm25DU7POOOM+N73vhc333xzJP+eHH/+538e999//27BafLrRx55ZPqa/sMPP9x6cS2oScBEVhObiwgQIECAAAECBAgQIECAAIEBBOQNhsdAArkNTseNGxcHHHBAJCtKdxz7C05PPvnk+M1vfhMbNmwwGnIqYCLLaeE0mwABAgQIECBAgAABAgQIZFhA3pDh4mSgabkNTkeOHBnHH398PPjgg4MGpyeddFIanG7cuDED5JpQi4CJrBY11xAgQIAAAQIECBAgQIAAAQIDCcgbjI+BBHIbnE6YMCENQtevXz9gcLply5bo7u5O9zldvny50ZBTARNZTgun2QQIECBAgAABAgQIECBAIMMC8oYMFycDTcttcHr22WfH9ddfH9/85jfjrLPOSin39ar+V77ylfjwhz8cF154YVx11VUZINeEWgRMZLWouYYAAQIECBAgQIAAAQIECBAYSEDeYHwMJJDb4PShhx6K17/+9elHn772ta/Fu971rt2C061bt8bVV18dc+bMiW3btsWvfvWrOProo42GnAqYyHJaOM0mQIAAAQIECBAgQIAAAQIZFpA3ZLg4GWhaboPTxG7x4sVpMJocBx10UCRhafL6/q57mvZ3MA1WP/CBD2SAWxNqFTCR1SrnOgIECBAgQIAAAQIECBAgQGB/AvIGY2MggVwHp0nHfvjDH8a8efMiWYG65/HKV74y/uf//J/xF3/xF0ZBzgVMZDkvoOYTIECAAAECBAgQIECAAIEMCsgbMliUDDUp98HpDsunnnoqfvnLX8aGDRti9OjRcfzxx8ekSZMyRK0pQxEwkQ1Fz7UECBAgQIAAAQIECBAgQIDAvgTkDcbFQAKFCU6VudgCJrJi11fvCBAgQIAAAQIECBAgQIBAKwTkDa1Qz88zcxmc9vX1xU033RT/9m//Fg888EA8++yz0dvbm34o6tBDD42TTz45/tt/+29x5pln5qcSWjqggInMACFAgAABAgQIECBAgAABAgTqLSBvqLdose6Xu+D04Ycfjne/+93xm9/8Jq1EEqLueSQfhEqOyZMnx7e+9a047rjjilW1EvbGRFbCousyAQIECBAgQIAAAQIECBBosIC8ocHAOb99roLT5cuXxymnnBI9PT0pe7Ky9E1velMceeSRMWrUqNi4cWOsWrUq7r333vj5z3+enpOsQv3Zz34WxxxzTM5LVe7mm8jKXX+9J0CAAAECBAgQIECAAAECjRCQNzRCtTj3zFVw+rrXvS4efPDBOPHEE+Oaa66JV7/61futxEMPPRTnnXdeJCtUX//618dPf/rT4lSthD0xkZWw6LpMgAABAgQIECBAgAABAgQaLCBvaDBwzm+fm+D0nnvuif/6X/9rvOIVr0jD0zFjxgxKv379+jjppJPSVag/+tGP4s///M8HvcYJ2RQwkWWzLlpFgAABAgQIECBAgAABAgTyLCBvyHP1Gt/23ASnc+bMicWLF8c///M/x/ve976KZf7lX/4lzj///PjIRz4S//AP/1DxdU7MloCJLFv10BoCBAgQIECAAAECBAgQIFAEAXlDEarYuD7kJjhN9jJ94IEH4g9/+EOMHj26YpFk39Nkdeob3vCGSFatOvIpYCLLZ920uuAC27ZFvNgb614aGWs3bo5xozti7AGbIto7I9raCt553SNAgAABAgQIECBAoAgC8oYiVLFxfchNcHr44YenH4B69NFHq9ZIPgz1/PPPx9NPP131tS7IhoCJLBt10AoCOwX6Q9OeGy+IDSuWxfSNc2N9X1d0D+uJpZ0LYszEKdE1c4nw1HAhQIAAAQIECBAgQCDzAvKGzJeopQ3MTXCarDI94YQTavrI0ymnnBK//vWvI1l96singIksn3XT6oIKbA9Nu5bfkHbwkW1Hxawts+PKEYvjuLYn0l/rmXyW8LSg5dctAgQIECBAgAABAkUSkDcUqZr170tugtO2/tc+k9f1f/zjH1etkHwU6v7774+tW7dWfa0LsiFgIstGHbSCQCqw6blYdcVbYsKWFfsFWdU+KSZcdFfEyIOgESBAgAABAgQIECBAILMC8obMliYTDROcZqIMGjGYgIlsMCG/T6B5Auv69zM99fKb49oR83euMN316ckK1HO2zIvbL5kR3aPam9cwTyJAgAABAgQIECBAgECVAvKGKsFKdnqugtMJEybEBz7wgapLdPXVV8dTTz1lxWnVctm5wESWnVpoCYHla3ritEX3xMRhq+POjov3Apm2eWGs7Bsft82ZGsce1v+hKAcBAgQIECBAgAABAgQyKiBvyGhhMtKsXAWn/Y2tia2vry+Sa72qXxNfJi4ykWWiDBpBIBWw4tRAIECAAAECBAgQIECgKALyhqJUsjH9yE1w+uY3vzkNP4dy3HVX/357jlwKmMhyWTaNLqqAPU6LWln9IkCAAAECBAgQIFA6AXlD6UpeVYdzE5xW1SsnF07ARFa4kupQngW2bYueGy+IruU3pL1I9jSdtWV2XDli8c49T3smnxVdM5dE9H/Yz0GAAAECBAgQIECAAIGsCsgbslqZbLRLcJqNOmjFIAImMkOEQMYEtoenG1Yui+m9c2N9X1eMHdYTt3QuiDETpwhNM1YuzSFAgAABAgQIECBAYN8C8gYjYyABwanxkQsBE1kuytT6RvaHefFib6x7aWSs7f/y+7jRHTH2gE0R7f0fKLLysf712e69fuuBsba337uzI7qHv8C7/tLuSIAAAQIECBAgQIBAgwTkDQ2CLchtBacFKWTRu2EiK3qF69C/HSsgV/SvgNz4xxWQ3f0rIJdaAVkHXLcgQIAAAQIECBAgQIBAMQXkDcWsa716JTitl6T7NFTARNZQ3vzf3J6b+a+hHhAgQIAAAQIECBAgQKAFAvKGFqDn6JGC0xwVq8xNNZGVufoV9N1X3itAcgoBAgQIECBAgAABAgQI7CkgbzAmBhIQnBofuRAwkeWiTC1r5Lr+/UxPvfzmuHbE/J1fdd+1MclX38/ZMi9uv2RGdI9qb1k7PZgAAQIEBhGwV7UhQoAAAQIECDRZQN7QZPCcPU5wmrOClbW5JrKyVr6yfi9f0xOnLbonJg5bHXd2XLzXRdM2L4yVfePjtjlT49jD+j8U5SBAeJRS5gAAIABJREFUgACB7AnYqzp7NdEiAgQIECBQAgF5QwmKPIQuCk6HgOfS5gmYyJpnnccnWXGax6ppMwECBHYRsFe14UCAAAECBAi0SEDe0CL4nDxWcJqTQpW9mSayso+AQfpvj1MDhAABAoMLZPk1ePP44PVzBgECBAgQINAQAXlDQ1gLc1PBaWFKWeyOmMiKXd8h985KpSETugEBAgUXyPhr8N4cKPj40z0CBAgQIJBhAXlDhouTgaYJTjNQBE0YXMBENrhR6c/YEQqsXBbTe+fG+r6uGDusJ27pXBBjJk6JrplLItraSs8EgACBEgrk4IdL9qou4bjUZQIECBAgkBEBeUNGCpHRZghOM1oYzdpdwERmRFQksP011PVbD4y1vZtjXGdHdA9/IaK9/4NQQtOKCJ1EgEABBXLwGrwVpwUcd7pEgAABAgRyIiBvyEmhWtRMwWmL4D22OgETWXVeziZAgAABAjsEchFK5iDcNaIIECBAgACBYgrIG4pZ13r1SnBaL0n3aaiAiayhvG5OgAABAgUWyMVr8DnYTqDAQ0TXCBAgQIBAqQXkDaUu/6CdF5wOSuSELAiYyLJQBW0gQIAAgTwK5GLFaQJrr+o8Di9tJkCAAAECuReQN+S+hA3tgOC0obxuXi8BE1m9JN2HAAECBEonkKfX4O1VXbrhqcMECBAgQKDVAvKGVlcg288XnGa7Plq3XcBE1uChsP0/VNe9NDLWbuz/qNLojhh7wCYfVWowu9sTIECgKQJeg28Ks4cQIECAAAEC+RSQN+Szbs1qteC0WdKeMyQBE9mQ+Aa+eMerkSuWxfSNc2N9X1d0D+uJpZ0LYszEKdE1c4kv0jeQ360JECDQFAGvwTeF2UMIECBAgACB/AnIG/JXs2a2WHDaTG3PqlnARFYzXUWhadfyG9LzHtl2VMzaMjuuHLE4jmt7Iv21nslnCU8bxO+2BAgQaKqA1+Cbyu1hBAgQIECAQD4E5A35qFOrWik4bZW851YlYCKriqvyk/O0713lvXImAQIECBAgQIAAAQIECBCoSEDeUBFTaU8SnJa29PnquImsMfXKzZeWG9N9dyVAgAABAgQIECBAgACBkgvIG0o+AAbpvuDU+MiFgImsMWVavqYnTlt0T0wctjru7Lh4r4dM27wwVvaNj9vmTI1jD+tsTCPclQABAgQIECBAgAABAgQItEhA3tAi+Jw8VnCak0KVvZkmssaMACtOG+PqrgQIECBAgAABAgQIECCQDwF5Qz7q1KpWCk5bJe+5VQmYyKriqvxke5xWbuVMAgQIECBAgAABAgQIECicgLyhcCWta4cEp3XldLNGCZjIGiTb/4XlnhsviK7lN6QPeGTbUTFry+y4csTiOK7tifTXeiafFV0zl0S0tTWoERXedvvXoNe9NDLWbtwc40Z3xNgDNkW0928h0Oq2VdgFpxEgQIAAAQIECBAgQIBAtgTkDdmqR9ZaIzjNWkW0Z58CJrIGDozt4emGlctieu/cWN/XFWOH9cQtnQtizMQpmQlNk4B3w4r+Nm78Yxu7+9u4NEttbGCJ3JoAAQIECBAgQIAAAQIEGiMgb2iMa1HuKjgtSiUL3g8TWYMLvH015/qtB8ba3v7VnJ0d0T38hWys5szTqtgGl8ntCRAgQIAAAQIECBAgQKC+AvKG+noW7W6C06JVtKD9MZEVtLCVdMs+rJUoOYcAAQIECBAgQIAAAQIEahCQN9SAVqJLBKclKnaeu2oiy3P1htb2df37mZ56+c1x7Yj5O/dd3fWOyb6s52yZF7dfMiO6R7UP7WGuJkCAAAECBAgQIECAAIFSCcgbSlXuqjsrOK2azAWtEDCRtUI9G89cvqYnTlt0T0wctjru7Lh4r0ZN27wwVvaNj9vmTI1jD+v/UJSDAAECBAgQIECAAAECBAhUKCBvqBCqpKcJTkta+Lx120SWt4rVr71WnNbP0p0I5Fpg+17M614aGWv7V6KPG90RYw/YlI29mHMNq/EECBAgQIAAgXILyBvKXf/Bei84HUzI72dCwESWiTK0phH2OG2Nu6cSyJLA9o/EbVixLKZvnBvr+7qie1hPLO1cEGMmTomumUsi2tqy1GJtIUCAAAECBAgQyImAvCEnhWpRMwWnLYL32OoETGTVeRXq7O2BSdfyG9JuJXuaztoyO64csXjnnqc9k88SnBSq6DpDYBcBc4DhQIAAAQIECBAg0EABeUMDcQtwa8FpAYpYhi6YyMpQ5QH6uGO12cr+1Wa9f1xtNrZ/tdktVpuVfGDofikErDrPX5ltq5C/mmkxAQIECBAosYC8ocTFr6DrgtMKkJzSegETWetr0PIWbP8P8fVbD4y1vf37G3Z2RPfwF+xv2PLCaACBxgrY57ixvnW/u20V6k7qhgQIECBAgEBjBeQNjfXN+90Fp3mvYEnabyIrSaF1kwABAnsILF/TE6ctuicmDlsdd3ZcvJfPtM0LY2Xf+LhtztQ49rBOfq0UsK1CK/U9mwABAgQIEKhRQN5QI1xJLhOclqTQee+miSzvFdR+AgQI1CZgxWltbi25yrYKLWH3UAIECBAgQGBoAvKGofkV/WrBadErXJD+mcgKUkjdIECAQLUCwrhqxVp2vpC7ZfQeTIAAAQIECAxBQN4wBLwSXCo4LUGRi9BFE1kRqqgPBAgQqEHA6981oLXmEtsqtMbdUwkQIECAAIGhCcgbhuZX9KsFp0WvcEH6ZyIrSCF1gwABArUI7Pjg0MplMb13bqzv64qxw3rils4FMWbilOiauSSira2WO7umjgJWnNYR060IECBAgACBpgnIG5pGncsHCU5zWbbyNdpEVr6a6zEBAgR2E+gPT+PF3li/9cBY27s5xnV2RPfwFyLa+z8IJTTNxmCxrUI26qAVBAgQIECAQFUC8oaquEp3suC0dCXPZ4dNZPmsm1YTIECAQIkEbKtQomLrKgECBAgQKI6AvKE4tWxETwSnjVB1z7oLmMjqTuqGBAgQIECg/gK2Vai/qTsSIECAAAECDRWQNzSUN/c3F5zmvoTl6ICJrBx11ksCBAgQKICAbRUKUERdIECAAAEC5RGQN5Sn1rX0VHBai5prmi5gIms6uQcSIECAAAECBAgQIECAAIHCC8gbCl/iIXVQcDokPhc3S8BE1ixpzyFAgAABAgQKL7B9VfC6l0bG2o39H1sb3RFjD9jkY2uFL7wOEiBAgMC+BOQNxsVAAoJT4yMXAiayXJRJIwkQIECAAIFWCFQThO7Yh3bFspi+cW6s7+uK7mE9sbRzQYyZOCW6Zi6JaGtrRS88kwABAgQItERA3tAS9tw8VHCam1KVu6EmsnLXX+8JECBAgACB/QhUE4RuP7dr+Q3pzR7ZdlTM2jI7rhyxOI5reyL9tZ7JZwlPDTYCBAgQKJWAvKFU5a66s4LTqslc0AoBE1kr1D2TAAECBAgQyLRAtUHopudi1RVviQlbVuy3W6vaJ8WEi+6KGHlQpruucQQIECBAoF4C8oZ6SRbzPoLTYta1cL0ykRWupDpEgAABAgQIDFWgyiB0Xf9+pqdefnNcO2L+zhWmuzYhWYF6zpZ5cfslM6J7VPtQW+d6AgQIECCQCwF5Qy7K1LJGCk5bRu/B1QiYyKrRci4BAgQIECBQBoFqg9Dla3ritEX3xMRhq+POjov3Ipq2eWGs7Bsft82ZGsce1lkGQn0kQIAAAQIhbzAIBhIQnBofuRAwkeWiTBpJgAABAgQINFGg2iC02qC1iV3xKAIECBAg0DIBeUPL6HPxYMFpLsqkkSYyY4AAAQIECBAgsLtA1UFola/28yZAgAABAmUQkDeUocq191FwWrudK5soYCJrIrZHESBAgAABAvkQqDYIrfZjUvlQ0EoCBAgQIDAkAXnDkPgKf7HgtPAlLkYHTWTFqKNeECBAgAABAnUUqCUI3X7NhpXLYnrv3Fjf1xVjh/XELZ0LYszEKdE1c0lEW1sdG+lWBAgQIEAg2wLyhmzXp9WtE5y2ugKeX5GAiawiJicRIECAAAECZROoJQjtvyZe7I31Ww+Mtb2bY1xnR3QPfyGivf+DUELTso0g/SVAgEDpBeQNpR8CAwIITo2PXAiYyHJRJo0kQIAAAQIEWiEgCG2FumcSIECAQEEE5A0FKWSDuiE4bRCs29ZXwERWX093I0CAAAECBAgQIECAAAECBCLkDUbBQAKCU+MjFwImslyUSSMJECBAgAABAgQIECBAgECuBOQNuSpX0xsrOG06uQfWImAiq0XNNQQIECBAgAABAgQIECBAgMBAAvIG42MgAcGp8ZELARNZLsqkkQQIECBAgAABAgQIECBAIFcC8oZclavpjRWcNp3cA2sRMJHVouYaAgQIECBAgAABAgQIECBAYCABeYPxMZCA4NT4yIWAiSwXZdJIAgQIECBAgAABAgQIECCQKwF5Q67K1fTGCk6bTu6BtQiYyGpRcw0BAgQIECBAgAABAgQIECAwkIC8wfgYSEBwanzkQsBElosyaSQBAgQIECBAgAABAgQIEMiVgLwhV+VqemMFp00n98BaBExktai5hgABAgQIECBAgAABAgQIEBhIQN5gfAwkIDg1PnIhYCLLRZk0kgABAgQIECBAgAABAgQI5EpA3pCrcjW9sYLTppN7YC0CJrJa1FxDgAABAgQIECBAgAABAgQIDCQgbzA+BhIQnBofuRAwkeWiTBpJgAABAgQIECBAgAABAgRyJSBvyFW5mt5YwWnTyT2wFgETWS1qriFAgAABAgQIECBAgAABAgQGEpA3GB8DCQhOjY9cCJjIclEmjSRAgAABAgQIECBAgAABArkSkDfkqlxNb6zgtOnkHliLgImsFjXXECBAgAABAgQIECBAgAABAgMJyBuMj4EEBKfGRy4ETGS5KJNGEiBAgAABAgQIECBAgACBXAnIG3JVrqY3VnDadHIPrEXARFaLmmsIECBAgAABAgQIECBAgACBgQTkDcbHQAKCU+MjFwImshrKtG1bxIu9se6lkbF24+YYN7ojxh6wKaK9M6KtrYYbuoQAgdwI+POfm1JpKAECBAgQIECAQGsF5A2t9c/60wWnWa+Q9qUCJrIqB0J/aNJz4wWxYcWymL5xbqzv64ruYT2xtHNBjJk4JbpmLhGeVknqdAK5EfDnPzel0lACBAgQIECAAIHWC8gbWl+DLLdAcJrl6mjbTgETWRWDYXto0rX8hvSiR7YdFbO2zI4rRyyO49qeSH+tZ/JZwtMqSJ1KIDcC/vznplQaSoAAAQIECBAgkA0BeUM26pDVVghOs1oZ7dpNwERWxYDY9FysuuItMWHLiv1etKp9Uky46K6IkQdVcWOnEiCQeQF//jNfIg0kQIAAAQIECBDIloC8IVv1yFprBKdZq4j27FPARFb5wFjXv5/pqZffHNeOmL9zhemuVycrUM/ZMi9uv2RGdI9qr/zGziRAIPMC/vxnvkQaSIAAAQIECBAgkDEBeUPGCpKx5ghOM1YQzdm3gIms8pGxfE1PnLbonpg4bHXc2XHxXhdO27wwVvaNj9vmTI1jD+v/UJSDAIHCCPjzX5hS6ggBAgQIECBAgECTBOQNTYLO6WMEpzktXNmabSKrvOJWnFVu5UwCRRPw579oFdUfAgQIECBAgACBRgvIGxotnO/7C07zXb/StN5EVkWp7XFYBZZTCRRMwJ//ghVUdwgQIECAAAECBBotIG9otHC+7y84zXf9StN6E1kVpfZV7SqwnEqgYAL+/BesoLpDgAABAgQIECDQaAF5Q6OF831/wWm+61ea1pvIqiz19vBkw8plMb13bqzv64qxw3rils4FMWbilOiauSSira3KmzqdAIFcCPjzn4syaSQBAgQIECBAgEA2BOQN2ahDVlshOM1qZbRrNwETWQ0Doj88iRd7Y/3WA2Nt7+YY19kR3cNfiGjv/yCU0LQGUJcQyJGAP/85KpamEiBAgAABAgQItFJA3tBK/ew/W3Ca/RppYb+AicwwIECAAAECBAgQIECAAAECBOotIG+ot2ix7ic4LVY9C9sbE1lhS6tjBAgQIECAAAECBAgQIECgZQLyhpbR5+LBgtNclEkjTWTGAAECBAgQIECAAAECBAgQIFBvAXlDvUWLdT/BabHqWdjemMgKW1odI0CAAAECBAgQIECAAAECLROQN7SMPhcPFpzmokwaaSIzBggQIECAAAECBAgQIECAAIF6C8gb6i1arPsJTotVz8L2xkRW2NLqGAECBAgQIECAAAECBAgQaJmAvKFl9Ll4sOA0F2XSSBOZMUCAAAECBAgQIECAAAECBAjUW0DeUG/RYt1PcFqseha2NyaywpZWxwgQIECAAAECBAgQIECAQMsE5A0to8/FgwWnuSiTRprIjAECLRTYti3ixd5Y99LIWLtxc4wb3RFjD9gU0d4Z0dbWwoZ5NAECBAgQ2IeAv7cMCwIECBCoQkDeUAVWCU8VnJaw6Hnssoksj1XT5kII9P/HZ8+NF8SGFcti+sa5sb6vK7qH9cTSzgUxZuKU6Jq5RHhaiELrBAECBAoi4O+tghRSN3YK+EGAwUCg4QLyhoYT5/oBgtNcl688jTeRlafWepohge3/8dm1/Ia0UY9sOypmbZkdV45YHMe1PZH+Ws/ks4SnGSqZphAgQGCfAmUJXvy95Q9A0QT8IKBoFdWfjArIGzJamIw0S3CakUJoxsACJjIjhEALBDY9F6uueEtM2LJivw9f1T4pJlx0V8TIg1rQQI8kQIAAgUEFyhS8+Htr0OHghBwJ+EFAjoqlqXkXkDfkvYKNbb/gtLG+7l4nARNZnSDdhkAVAuv69zM99fKb49oR83euMN318mQF6jlb5sXtl8yI7lHtVdzZqQQIECDQFIGSBS/+3mrKqPKQZgn4QUCzpD2HQMgbDIKBBASnxkcuBExkuSiTRhZMYPmanjht0T0xcdjquLPj4r16N23zwljZNz5umzM1jj2s/0NRDgIECBDIlkDJghd/b2Vr+GnN0AT8IGBofq4mUI2AvKEarfKdKzgtX81z2WMTWS7LptE5F/B/2HNeQM0nQKD0AmWbx8vW39IP8IID+EFAwQuse5kSkDdkqhyZa4zgNHMl0aB9CZjIjAsCLRAo2UqlFgjX9siyfOSlNh1XESCwi0Dpghd/bxn/BRLwg4ACFVNXMi8gb8h8iVraQMFpS/k9vFIBE1mlUs4jUEeBku2NV0e5xt2qTB95aZyiOxNorUATf/hRuuDF31utHdueXl8BPwior6e7ERhAQN5geAwkIDg1PnIhYCLLRZk0sogCO4K6lctieu/cWN/XFWOH9cQtnQtizMQp0TVzSURbWxF7nr0+CQSyVxMtIlCtQLN/+FHG4MXfW9WOSudnVcDf+1mtjHYVUEDeUMCi1rFLgtM6YrpV4wRMZI2zdWcCgwpsXx21fuuBsbZ3c4zr7Iju4S9EtPd/EEpoOihf3U4oYwBSNzw3IpABgVaEIK14Zgaow99bWaiCNtRDwA8C6qHoHgQGFZA3DEpU6hMEp6Uuf346byLLT620lACBxgiU7pXbxjC6K4HWCbTqhx+Cl9bV3JMJ1EPADwLqoegeBAYUkDcYIAMJCE6Nj1wImMhyUSaNJECggQKl+8hLAy3dmkArBFr6ww/BSytK7pkECBAgkBMBeUNOCtWiZgpOWwTvsdUJmMiq83I2AQLFE2hp6FI8Tj0i0HQBP/xoEHkTP7bVoB64LQECBAi0WEDe0OICZPzxgtOMF0jz/ihgIjMSCBAovUCrXvMtPTwAAvUR8MOP+jjudpdmf2yrAV1wSwIECBBovYC8ofU1yHILBKdZro627RQwkRkMBAiUXqCsH3kpfeEBFEbADz/qW0pzYn093Y0AAQIlFpA3lLj4FXRdcFoBklNaL2Aia30NtIAAgQwI+MhLBoqgCQRqFBD01Qi3n8sE0fX1dDcCBAiUWEDeUOLiV9B1wWkFSE5pvYCJrPU10AICBDIi4CMvGSmEZhCoQcAPP2pA2/cltj6oG6UbESBAoPQC8obSD4EBAQSnxkcuBExkuSiTRhIgQIAAAQKDCfjhx2BCFf2+j21VxOQkAgQIEKhAQN5QAVKJTxGclrj4eeq6iSxP1dJWAgQIECBAgEBjBaw4baxvzXff/oOBdS+NjLUbN8e40R0x9oBNEe2dEW1tNd/WhSUQMHZKUOTsdlHekN3aZKFlgtMsVEEbBhUwkQ1K5AQCBAgQIECAQHkE7HGavVrv2IpixbKYvnFurO/riu5hPbG0c0GMmTglumYuEZ5mr2rZaJGxk406lLgV8oYSF7+CrgtOK0BySusFTGStr4EWECBAgAABAgQyI+BjW5kpRdoQ9chWPfLUGmMnT9UqbFvlDYUtbV06JjitC6ObNFrARNZoYfcnQIAAAQIECORMwMe2slMwK4CzU4u8tcTYyVvFCtleeUMhy1q3TglO60bpRo0UMJE1Ute9CRAgQIAAAQI5FfCxrUwUzp6zmShDLhth7OSybIVrtLyhcCWta4cEp3XldLNGCZjIGiXrvgQIECBAgAABAgSGJrB8TU+ctuiemDhsddzZcfFeN5u2eWGs7Bsft82ZGsce1v+hKAeB7QLGjqGQBQF5QxaqkN02CE6zWxst20XARGY4ECBAgAABAgQIEMimgFWD2axLHlpl7OShSsVvo7yh+DUeSg8Fp0PRc23TBExkTaP2IAIECBAgQIAAAQLVCdinsjovZ/9JwNgxGjIgIG/IQBEy3ATBaYaLo2l/EjCRGQ0ECBAgQIAAAQIEMirgy+gZLUwOmmXs5KBIxW+ivKH4NR5KDwWnQ9Gr4dqvfe1rcd9998W///u/x5o1a+IPf/hDdHZ2xvHHHx8zZ86MD33oQ9He3r7XnX/729/GTTfdFHfddVf88pe/jN///vcxatSo9Lr3vOc9+72uhibGf//v/z2uu+669NK///u/j0svvXS/t/n5z38eX/jCF+Lee++N5557LiZMmBBnnnlmfPKTn4yurq5aHr/Pa0xkdaN0IwIECBAgQIAAAQL1F9gegG1YuSym986N9X1dMXZYT9zSuSDGTJwSXTOXRLS11f+57ph/AWMn/zXMeQ/kDTkvYIObLzhtMPCetx8zZkwaMCah5+GHH56Gpk8++WQ8++yz6amvfe1r4/bbb4+DDz5456Vbt26NAw44YOf/Tv5QJ9c+/fTT8bvf/S799ZNOOil+8IMfRHd395B69H/+z/+Jd7zjHTvvMVBwesMNN8Q555wTL730UiRtSv555JFHYtOmTXH00UfH/fffH4cccsiQ2rPjYhNZXRjdhAABAgQIECBAgEDjBPoDsHixN9ZvPTDW9m6OcZ0d0T38hYj2/g9CCU0b516EOxs7Rahibvsgb8ht6ZrScMFpU5j/9JBFixbFm970pjTo7Mff+Ru33nprvPe9742enp509eiSJf0/kd1+JMFkEkBeeOGF8f73vz+OOeaYnb+XhKVnn312ugL13e9+d9x444019+j555+PE044IQ1CX/ayl8WDDz643xWnSdh77LHHxgsvvBCXXXZZzJs3r///C7WlAfDpp58eDzzwQJxxxhmxdOnSmtuz64UmsrowugkBAgQIECBAgAABAgQIECCwi4C8wXAYSEBwmqHxsXDhwpg7d24ceuih8cwzz+xsWV9fX/pK//5Wk15//fVp6LojuBw7dmxNvbroooviH/7hH9ItAb785S/H3Xffvd/gdPbs2XHllVfGtGnT4o477tjteStXrkzD3WSlbLIlwatf/eqa2iM4HTKbGxAgQIAAAQIECBAgQIBAGQW2r+KNkQf9qff9H+OyAnzvwSA4LeMfkMr7LDit3KrhZ373u99NV2uOHj06ent7K37erqHqT3/60zj55JMrvnbHicuWLYtTTjklfU0/aceb3/zm/QanSZB7xBFHxOrVq9O9UJM9Vvc83v72t6dbB3zqU59KV6QO9TCRDVXQ9QQIECBAgAABAgQIECBQCoEkNP3O7Ijf/UfEud+OGNW/uOr5dRH/ckbEf3pVxOmLbZ+xy0CQN5TiT0XNnRSc1kxX/ws/8YlPxBe/+MWYOnVqGlpWeiT7nI4fPz49Pflw1Iknnljppel5yav5r3vd6+LRRx+Nhx9+OF7+8pcPGJyuWrUqjjrqqPTa5JX9JETd8/jc5z4Xn/70p+Otb31rumfrUA8T2VAFXU+AAAECBAgQIECAAAEChRfYEZr+4to/dvVl/fnAu78e8a33Rzzzqz/+2qvPEZ7uMhDkDYX/UzGkDgpOh8Q39Iu3bNkSTz31VPzrv/5r+vX6kSNHxg9/+MN4wxveUPHNk31TP/rRj0byin7yiv/w4cMrvjY5MQlrk9D2C1/4Qnz84x9Prx1oxWkShJ566qnR0dGR7nG6616tOx78zW9+M9179cgjj4wkaB3qYSIbqqDrCRAgQIAAAQIECBAgQKDwAsnr+F//qz+FpPvqcBKmvv/fYrfX+AsPs/8OyhtKXPwKui44rQCpEad88IMfjKuvvnq3W5955plpeFrNitGnn346PT95Xf/zn/98+pGmao4VK1ak10+aNCkeeuihGDFixKDB6be+9a2YOXNm+gGpNWvW7PNx3//+9+Mv//Ivq9p2YMdkta8bJh+dSvZ+TVbXOggQIECAAAECBAgQIECAAIH9COx4LX/HCtNdT0tC0x2v7wNMBQSnBsJAAoLTFo2PZJVnspfopk2b4vHHH49169bFmDFj4sMf/nB89rOfTT/0NNiRXJusDE2+YH/SSSfFT37yk53B52DX7vj9t73tbXHnnXfGPffcE3/2Z3+287KBVpx+4xvfiHPPPXfA1aTJPZPX9JPVr8lWAJUcgtNKlJxDgAABAgQIECBAgAABAgQGEfj9byOunLL3SbOWRRxyNL5dBASnhoPgtA5j4Pzzz49rrrmm6jvNnz8/fQ1+sOPWW28JtBvHAAAgAElEQVSNCy+8MH2t/YILLoivfOUrA16SfLF+xowZ8e1vfzsmTJgQ9957bxpkVnMk/Un69Td/8zfxj//4j7tdOlBw2qgVpwO13URWTWWdS4AAAQIECBAgQIAAAQKlFbDitKrSyxuq4irdyVacVljyZO/Pm266qcKz/3Ta3Llz40Mf+lBF1yUrR5Mv2yerTVeuXLnzA0x7Xpx81f68886LZOVn8rr8j3/84zjmmGMqesaOk5JX+48++uh0f9Lf/OY30d3dXXFwao/TqqidTIAAAQIECBAgQIAAAQIEmiNgj9OqnQWnVZOV6gLBacbKfcghh6Sv7S9dujTOOOOMfbYuWZH61a9+NQ4++OD40Y9+FK985Sur7sUvfvGLeM1rXpN+jOqggw7a6/r169dH8uGqUaNGpfuUnnDCCZEEpsmRrIo96qij0n9/8skn44gjjtjr+s997nPx6U9/On1df8d1VTdylwtMZEPRcy0BAgQIECBAgAABAgQIlEJg27aI78yO+MW1f+xusqfpu78e8a33/+mDUa8+J+L0xdG/aqsUJIN1Ut4wmFC5f19wmrH6J2Hohg0b0tWtycei9jwuvvjiuOKKK9IwMwkkTz755Jp6sCM4rfTiV73qVZFckxzJitfDDz88/VDTddddF+95z3v2us3b3/72+MEPfhCf/OQn4/LLL6/0Mfs9z0Q2ZEI3IECAAAECBAgQIECAAIEyCOwIT3/3H3/6ENSO1/f/06uEpnuMAXlDGf5Q1N5HwWntdnW/8q677opp06al902+dj9x4sTdnnHppZfGZz7zmTjwwAMj2RM12Ye0UcdAe5wmz5w1a1ZcddVVaXvvuOOO3Zrx2GOPpdsAJPuwPvTQQ+nK1qEeJrKhCrqeAAECBAgQIECAAAECBEojkISnL/ZGjNzlDdPkNf72TitNBael+WNQj44KTuuhWOE9ko8qPfPMMzFz5sw49NBDd16VBIzXX399XHTRRfHss8/GO9/5zvjOd76z210XLVoUH/3oR6O9vT19jf8d73hHhU+NePnLX56eu3DhwnjXu95V0XWDBadPPPFETJ48OTZt2hSXXXZZzJs3L92bNWn/6aefHsl+rfvqR0UP38dJgtNa5VxHgAABAgQIECBAgAABAgQI7E9A3mBsDCQgOG3i+NgRfiaPTPYITT7s1Nvbm+4Z+vzzz6cteeMb3xjf+9730v1LdxyrV69O9xFNXpEfO3ZsGlju71i8ePFeKzyTD0Alx9e//vU4//zzK+rxYMFpcpPkNf33ve996crSZKJJ/nnkkUfSMHXSpElx//337xYQV/Tg/ZxkIhuKnmsJECBAgAABAgQIECBAgACBfQnIG4yLgQQEp00cH48//ngaNiYfdHr00UfT1ZlJ6Dhu3Lg07Ez2Ck3+SVZu7nok173iFa+oqKXJ6/57vsLfqOA0adDPfvazmD9/ftx3333R09OTBrwzZsyIT33qU/H/t3cnUHZVZdqAPwIZEFJgAjIoiQaRiCKoOLtooaUbHBglOMQBtRtUooBExR/nAWygmzZRcaDTYhQIioiCoigqjt1RoZ0CmMigTCGRVIJJSEj+2iepDGSoe6ruvWd67lq9ll117tnffr7Nzs2bc8/p6elpqeZWDrKRtaLkGAIECBAgQIAAAQIECBAgQCCPgLwhj1bzjhWcNq/nlZyxjaySbVM0AQIECBAgQIAAAQIECBAotYC8odTtKbw4wWnhLVBAKwI2slaUHEOAAAECBAgQIECAAAECBAjkEZA35NFq3rGC0+b1vJIztpFVsm2KJkCAAAECBAgQIECAAAECpRaQN5S6PYUXJzgtvAUKaEXARtaKkmMI5BRYtSriocWxYOWomL9keey648gYu92yiBGjo+9myzlP5nACBAgQIECAAAECBAhUT0DeUL2edbNiwWk3tY01aAEb2aDpvJHA5gX6QtPeWSfHA3Nnx9FLpsbC1T0xZpveuHL0ubHzhIOiZ9KFwlNrhwABAgQIECBAgACB2gvIG2rf4iFNUHA6JD5v7paAjaxb0sZphMDa0LRnzmXZdP+wanycsmJKTB8+LfYbdnv2s96JJwhPG7EYTJIAAQIECBAgQIBAswXkDc3u/0CzF5wOJOT3pRCwkZWiDYqoi8CyRXHH+YfEuBVztzijO0bsHeNOvz5i1E51mbV5ECBAgAABAgQIECBAYBMBeYNFsTUBwan1UQkBG1kl2qTIiggs6Luf6WEfuyJmDj973RWmG5aerkCdvOLMuO6s42LMDiMqMitlEiBAgAABAgQIECBAIL+AvCG/WZPeIThtUrcrPFcbWYWbp/TSCcy5pzcOv+CGmLDNXfGDkWdsUt+hy8+Leav3jGtPPTj23b3vQVFeBAgQIECAAAECBAgQqKmAvKGmjW3TtASnbYJ0ms4K2Mg66+vszRJwxWmz+m22BAgQIECAAAECBAhsWUDeYHVsTUBwan1UQsBGVok2KbIqAu5xWpVOqZMAAQIECBAgQIAAgQ4LyBs6DFzx0wtOK97AppRvI2tKp82zKwKrVkXvrJOjZ85l2XDpnqanrJgS04dPW3fP096JJ0TPpAsjhg3rSkkGIUCAAAECBAgQIECAQBEC8oYi1KszpuC0Or1qdKU2ska33+Q7IbA2PH1g3uw4evHUWLi6J8Zu0xtfH31u7DzhIKFpJ8ydkwABAgQIECBAgACB0gnIG0rXklIVJDgtVTsUsyUBG5m1QaADAn3haTy0OBY+vH3MX7w8dh09MsZsuzRiRN8DoVxp2gFwpyRAgAABAgQIECBAoGwC8oaydaRc9QhOy9UP1WxBwEZmaRAgQIAAAQIECBAgQIAAAQLtFpA3tFu0XucTnNarn7WdjY2stq01MQIECBAgQIAAAQIECBAgUJiAvKEw+koMLDitRJsUaSOzBggQIECAAAECBAgQIECAAIF2C8gb2i1ar/MJTuvVz9rOxkZW29aaGAECBAgQIECAAAECBAgQKExA3lAYfSUGFpxWok2KtJFZAwQIECBAgAABAgQIECixwNoHjy5YOSrmL+l78OiOI2Psdss8eLTELVPaGgF5g5WwNQHBqfVRCQEbWSXapEgCBAgQIECAAAECBJoo0Bea9s46OR6YOzuOXjI1Fq7uiTHb9MaVo8+NnSccFD2TLowYNqyJMuZcAQF5QwWaVGCJgtMC8Q3duoCNrHUrRxIgQIAAAQIECBAgQKBrAmtD0545l2VD/mHV+DhlxZSYPnxa7Dfs9uxnvRNPEJ52rSEGyisgb8gr1qzjBafN6ndlZ2sjq2zrFE6AAAECBAgQIECAQJ0Fli2KO84/JMatmLvFWd4xYu8Yd/r1EaN2qrOEuVVUQN5Q0cZ1qWzBaZegDTM0ARvZ0Py8mwABAgQIECBAgAABAp0QWNB3P9PDPnZFzBx+9rorTDccJ12BOnnFmXHdWcfFmB1GdKIE5yQwJAF5w5D4av9mwWntW1yPCdrI6tFHsyBAgAABAgQIECBAoF4Cc+7pjcMvuCEmbHNX/GDkGZtM7tDl58W81XvGtaceHPvuPrpekzebWgjIG2rRxo5NQnDaMVonbqeAjaydms5FgAABAgQIECBAgACB9gi44rQ9js5SnIC8oTj7KowsOK1Cl9QYNjKLgAABAgQIECBAgAABAiUUcI/TEjZFSXkE5A15tJp3rOC0eT2v5IxtZJVsm6IJECBAgAABAgQIEKi7wKpV0Tvr5OiZc1k203RP01NWTInpw6etu+dp78QTomfShRHDhtVdw/wqKCBvqGDTuliy4LSL2IYavICNbPB23kmAAAECBAgQIECAAIGOCqwNTx+YNzuOXjw1Fq7uibHb9MbXR58bO084SGjaUXwnH6qAvGGogvV+v+C03v2tzexsZLVppYkQIECAAAECBAgQIFBHgb7wNB5aHAsf3j7mL14eu44eGWO2XRoxou+BUK40rWPHazMneUNtWtmRiQhOO8LqpO0WsJG1W9T5CBAgQIAAAQIECBAgQIAAAXmDNbA1AcGp9VEJARtZJdqkSAIECBAgQIAAgW4IrL2yb8HKUTF/Sd+VfTuOjLHbLXNlXzfsjUGAQO0E5A21a2lbJyQ4bSunk3VKwEbWKVnnJUCAAAECBAgQqJRA/70k5/bdS3LJmntJjum7l+SV7iVZqTYqlgCB8gjIG8rTizJWIjgtY1fUtImAjcyiIECAAAECBAgQaLyAp5c3fgkAIECg/QLyhvab1umMgtM6dbPGc7GR1bi5pkaAAAECBAgQINCawLJFccf5h8S4FXO3ePwdI/aOcadfHzFqp9bO6SgCBAg0XEDe0PAFMMD0BafWRyUEbGSVaJMiCRAgQIAAAQIEOiiwoO9+pod97IqYOfzs2G/Y7ZuM9IdV42PyijPjurOOizE7jOhgJU5NgACB+gjIG+rTy07MRHDaCVXnbLuAjaztpE5IgAABAgQIECBQMYE59/TG4RfcEBO2uSt+MPKMTao/dPl5MW/1nnHtqQfHvruPrtjslEuAAIFiBOQNxbhXZVTBaVU61fA6bWQNXwCmT4AAAQIECBAgEK44tQgIECDQfgF5Q/tN63RGwWmdulnjudjIatxcUyNAgAABAgQIEGhNwD1OW3NyFAECBHIIyBtyYDXwUMFpA5texSnbyKrYNTUTIECAAAECBAi0VWDVquiddXL0zLksO226p+kpK6bE9OHT1t3ztHfiCdEz6cKIYcPaOrSTESBAoK4C8oa6drY98xKctsfRWTosYCPrMLDTEyBAgAABAgQIVENgbXj6wLzZcfTiqbFwdU+M3aY3vj763Nh5wkFC02p0UZUECJRIQN5QomaUsBTBaQmboqRNBWxkVgUBAgQIECBAgACBtQJ94Wk8tDgWPrx9zF+8PHYdPTLGbLs0YkTfA6FcaWqZECBAIJeAvCEXV+MOFpw2ruXVnLCNrJp9UzUBAgQIECBAgAABAgQIECizgLyhzN0pvjbBafE9UEELAjayFpAcQoAAAQIECFRTYO3VgwtWjor5S/quHtxxZIzdbpmrB6vZTVUTIECAQMUE5A0Va1iXyxWcdhnccIMTsJENzs27CBAgQIAAgZIL9N+vcm7f/SqXrLlf5Zi++1Ve6X6VJW+c8ggQIECgLgLyhrp0sjPzEJx2xtVZ2yxgI2szqNMRIECAAAECxQt4QnrxPVABAQIECDReQN7Q+CWwVQDBqfVRCQEbWSXapEgCBAgQIEAgj8CyRXHH+YfEuBVzt/iuO0bsHeNOvz5i1E55zuxYAgQIECBAoEUBeUOLUA09THDa0MZXbdo2sqp1TL0ECBAgQIDAQAIL+u5netjHroiZw8+O/Ybdvsnhf1g1PiavODOuO+u4GLPDiIFO5/cECBAgQIDAIATkDYNAa9BbBKcNanaVp2ojq3L31E6AAAECBAhsTmDOPb1x+AU3xIRt7oofjDxjk0MOXX5ezFu9Z1x76sGx7+6jIRIgQIAAAQIdEJA3dAC1RqcUnNaomXWeio2szt01NwIECBAg0EwBV5w2s+9mTYAAAQLlEpA3lKsfZatGcFq2jqhnswI2MguDAAECBAgQqJ2Ae5zWrqUmRIAAAQLVE5A3VK9n3axYcNpNbWMNWsBGNmg6byRAgAABAgTKKrBqVfTOOjl65lyWVZjuaXrKiikxffi0dfc87Z14QvRMujBi2LCyzkJdBAgQIECg0gLyhkq3r+PFC047TmyAdgjYyNqh6BwECBAgQIBA6QTWhqcPzJsdRy+eGgtX98TYbXrj66PPjZ0nHCQ0LV3DFESAAAECdROQN9Sto+2dj+C0vZ7O1iEBG1mHYJ2WAAECBAgQKF6gLzyNhxbHwoe3j/mLl8euo0fGmG2XRozoeyCUK02L748KCBAgQKDWAvKGWrd3yJMTnA6Z0Am6IWAj64ayMQgQIECAAAECBAgQIECAQLME5A3N6nfe2QpO84o5vhABG1kh7AYlQIAAAQIECBAgQIAAAQK1FpA31Lq9Q56c4HTIhE7QDYFKbmRrv3a3YOWomL+k72t3O46Msdst87W7biwYYxAgQIAAAQIECBAgQIAAgRYEKpk3tDAvh7RHQHDaHkdn6bBA5Tay/gc9zO170MOSNQ96GNP3oIcrPeihwyvF6QkQIECAAAECBAgQIECAQOsClcsbWp+aI9sgIDhtA6JTdF6gUhvZ2tC0Z85lGcwfVo2PU1ZMienDp8V+w27PftY78QRPye38sjECAQIECBAgQIAAAQIECBDYqkCl8ga97LqA4LTr5AYcjEClNrJli+KO8w+JcSvmbnGqd4zYO8adfn3EqJ0Gw+E9BAgQIECAAAECBAgQIECAQBsEKpU3tGG+TpFPQHCaz8vRBQlUaSNb0Hc/08M+dkXMHH72uitMN2RLV6BOXnFmXHfWcTFmhxEFiRqWAAECBAgQIECAAAECBAgQqFLeoFvdFxCcdt/ciIMQqNJGNuee3jj8ghtiwjZ3xQ9GnrHJbA9dfl7MW71nXHvqwbHv7qMHoeEtBAgQIECAAAECBAgQIECAQDsEqpQ3tGO+zpFPQHCaz8vRBQlUaSNzxWlBi8SwBAgQIECAAAECBAgQIEAgp0CV8oacU3N4GwQEp21AdIrOC1RqI3OP084vCCMQIECAAAECBAgQIECAAIE2CFQqb2jDfJ0in4DgNJ+XowsSqNRGtmpV9M46OXrmXJZppXuanrJiSkwfPm3dPU97J54QPZMujBg2rCBRwxIgQIAAAQIECBAgQIAAAQKVyhu0q+sCgtOukxtwMAKV28jWhqcPzJsdRy+eGgtX98TYbXrj66PPjZ0nHCQ0Hcwi8B4CBAgQIECAAAECBAgQaJ9A399b46HFEaN2Wn/Ovm9Qxoi+Z3E06CKfyuUN7VsBztSCgOC0BSSHFC9QyY1s7R9CCx/ePuYvXh67jh4ZY7Zd2rg/hIpfPSogQIAAAQIECBAgQIAAgY0E0t9Xr5oScfdNEa/7RsQOYyMeXBBx8VERexwQceS0xoSnlcwbLOeuCQhOu0ZtoKEI2MiGoue9BAgQIECAAAECBAgQIEBgrUB/aHrjzDU/2G3/iONnRFx+YsS9v13zswMnNyY8lTf4L2NrAoJT66MSAjaySrRJkQQIECBAgAABAgQIECBQdoH0dfwZL10fkm6u3hSmnnj1xl/jL/u8BlmfvGGQcA15m+C0IY2u+jRtZFXvoPoJECBAgAABAgQIECBAoDQC/V/L77/CdMPCUmja//X90hTcuULkDZ2zrcOZBad16GID5mAja0CTTZEAAQIECBAgQIAAAQIEuidw/60R0w/adLxTZkfssk/36ih4JHlDwQ0o+fCC05I3SHlrBGxkVgIBAgQIECBAgAABAgQIEGiTgCtO10HKG9q0pmp6GsFpTRtbt2nZyOrWUfMhQIAAAQIECBAgQIAAgUIE3ON0I3Z5QyGrsDKDCk4r06pmF2oja3b/zZ4AAQIECBAgQIAAAQIE2iSwalXEVVMibpy55oTpnqbHz4i4/MT1D4w6cHLEkdMihg1r06DlPY28oby9KUNlgtMydEENAwrYyAYkcgABAgQIECBAgAABAgQIEGhNoD88vfum9Q+C6v/6/h4HNCY0TVjyhtaWTFOPEpw2tfMVm7eNrGINUy4BAgQIECBAgAABAgQIlFsghacPLY4YtdP6OtPX+EeMbsSVpv2TljeUe5kWXZ3gtOgOGL8lARtZS0wOIkCAAAECBAgQIECAAAECBHIIyBtyYDXwUMFpA5texSnbyKrYNTUTIECAAAECBAgQIECAAIFyC8gbyt2foqsTnBbdAeO3JGAja4nJQQQIECBAgAABAgQIECBAgEAOAXlDDqwGHio4bWDTqzhlG1kVu6ZmAgQIECBAgAABAgQIECBQbgF5Q7n7U3R1gtOiO2D8lgRsZC0xOYgAAQIECBAgQIAAAQIECBDIISBvyIHVwEMFpw1sehWnbCOrYtfUTIAAAQIECBAgQIAAAQIEyi0gbyh3f4quTnBadAeM35KAjawlJgcRIECAAAECBAgQIECAAAECOQTkDTmwGnio4LSBTa/ilG1kVeyamgkQIECAAAECBAgQIECAQLkF5A3l7k/R1QlOi+6A8VsSsJG1xOQgAgQIECBAgAABAgQIECBAIIeAvCEHVgMPFZw2sOlVnLKNrIpdUzMBAgQIECBAgAABAgQIECi3gLyh3P0pujrBadEdMH5LAjaylpgcRIAAAQIECBAgQIAAAQIECOQQkDfkwGrgoYLTBja9ilO2kVWxa2omQIAAAQIECBAgQIAAAQLlFpA3lLs/RVcnOC26A8ZvScBG1hKTgwgQIECAAAECBAgQIECAAIEcAvKGHFgNPFRw2sCmV3HKNrIqdk3NBAgQIECAAAECBAgQIECg3ALyhnL3p+jqBKdFd8D4LQnYyFpichABAgQIECBAgAABAgQIECCQQ0DekAOrgYcKThvY9CpO2UZWxa6pmQABAgQIECBAgAABAgQIlFtA3lDu/hRdneC06A4YvyUBG1lLTA4iQIAAAQIECBAgQIAAAQIEcgjIG3JgNfBQwWkDm17FKdvIqtg1NRMgQIAAAQIECBAgQIAAgXILyBvK3Z+iqxOcFt0B47ckYCNriclBBAgQIECAAAECBAgQIECAQA4BeUMOrAYeKjhtYNOrOGUbWRW7pmYCBAgQIECAAAECBAgQIFBuAXlDuftTdHWC06I7YPyWBGxkLTE5iAABAgQIECBAgAABAgQIEMghIG/IgdXAQwWnDWx6FadsI6ti19RMgAABAgQIECBAgAABAgTKLSBvKHd/iq5OcFp0B4zfkoCNrCUmBxEgQIAAAQIECBAgQIAAAQI5BOQNObAaeKjgtIFNr+KUbWRV7JqaCRAgQIAAAQIECBAgQIBAuQXkDeXuT9HVCU6L7oDxWxKwkbXE5CACBAgQIECAAAECBAgQIEAgh4C8IQdWAw8VnDaw6VWcso2sil1TMwECBAgQIECAAAECBAgQKLeAvKHc/Sm6OsFp0R0wfksCNrKWmBxEgAABAgQIECBAgAABAgQI5BCQN+TAauChgtMGNr2KU7aRVbFraiZAgAABAgQIECBAgAABAuUWkDeUuz9FVyc4LboDxm9JwEbWEpODCBAgQIAAAQIECBAgQIAAgRwC8oYcWA08VHDawKZXcco2sip2Tc0ECBAgQIAAAQIECBAgQKDcAvKGcven6OoEp0V3wPgtCdjIWmJyEAECBAgQIECAAAECBAgQIJBDQN6QA6uBhwpOG9j0Kk7ZRlbFrqmZAAECBAgQIECAAAECBAiUW0DeUO7+FF2d4LToDhi/JQEbWUtMDiJAgAABAgQIECBAgAABAgRyCMgbcmA18FDBaQObXsUp28iq2DU1EyBAgAABAgQIECBAgACBcgvIG8rdn6KrE5wW3QHjtyRgI2uJyUEECBAgQIAAAQIECBAgQIBADgF5Qw6sBh4qOG1g06s4ZRtZFbumZgIECBAgQIAAAQIECBAgUG4BeUO5+1N0dYLTojtg/JYEbGQtMTmIAAECBAgQIECAAAECBAgQyCEgb8iB1cBDBacNbHoVp2wjq2LX1EyAAAECBAgQIECAAAECBMotIG8od3+Krk5wWnQHjN+SgI2sJSYHESBAgAABAgQIECBAgAABAjkE5A05sBp4qOC0gU2v4pRtZFXsmpoJECBAgAABAgQIECBAgEC5BeQN5e5P0dUJTovugPFbErCRtcTkIAIECBAgQIAAAQIECBAgQCCHgLwhB1YDDxWcNrDpVZyyjayKXVMzAQIECBAgQIAAAQIECBAot4C8odz9Kbo6wWnRHTB+SwI2spaYHESAAAECBAgQIECAAAECBAjkEJA35MBq4KGC0wY2vYpTtpFVsWtqJkCAAAECBAgQIECAAAEC5RaQN5S7P0VXJzgtugPGb0nARtYSk4MIECBAgAABAgQIECBAgACBHALyhhxYDTxUcNrApldxyjayKnZNzQQIECBAgAABAgQIECBAoNwC8oZy96fo6gSnRXfA+C0J2MhaYnIQAQIECNRFYNWqiIcWx4KVo2L+kuWx644jY+x2yyJGjI4YNqwzsyxizDwzKXt9eebiWAIECBAgQKA0AvKG0rSilIUITkvZFkU9UsBGZk0QIECAQGME+gLC3lknxwNzZ8fRS6bGwtU9MWab3rhy9Lmx84SDomfShe0PT4sYM09Dy15fnrk4lgABAgQIECiVgLyhVO0oXTGC09K1REGbE7CRWRcECBAg0AiBtQFhz5zLsun+YdX4OGXFlJg+fFrsN+z27Ge9E09ob3haxJh5mln2+vLMxbEECBAgQIBA6QTkDaVrSakKEpyWqh2K2ZKAjczaIECAAIFGCCxbFHecf0iMWzF3i9O9Y8TeMe706yNG7dQekiLGzFN52evLMxfHEiBAgAABAqUTkDeUriWlKkhwWqp2KEZwag0QIECAQJMFFvTdz/Swj10RM4efve4K0w090hWok1ecGdeddVyM2WFEW6iKGDNP4WWvL89cHEuAAAECBAiUT0BwWr6elKkiwWmZuqGWLQrYyCwOAgQIEGiCwJx7euPwC26ICdvcFT8YecYmUz50+Xkxb/Wece2pB8e+u/c9KKoNryLGzFN22evLMxfHEiBAgAABAuUTkDeUrydlqkhwWqZuqEVwag0QIECAQKMFiri6sogx8zS57PXlmYtjCRAgQIAAgfIJCE7L15MyVSQ4LVM31CI4tQYIECBAoNkCRdzPs4gx83S57PXlmYtjCRAgQIAAgdIJCE5L15JSFSQ4LVU7FLMlARuZtUGAAAECjRAo4gnyRYyZp5llry/PXBxLgAABAgQIlE5A3lC6lpSqIMFpqdqhGMGpNUCAAAECjRdYGxQ+MG92HL14aixc3RNjt+mNr48+N3aecFD0TLowYtiw9jIVMWaeGZS9vjxzcSwBAgQIECBQKk8Y/1QAACAASURBVAHBaanaUbpiBKela4mCNidgI7MuCBAgQKBRAn1BYTy0OBY+vH3MX7w8dh09MsZsuzRiRN8DododmvbDFjFmnqaWvb48c3EsAQIECBAgUBoBeUNpWlHKQgSnpWyLoh4pYCOzJggQIECAAAECBAgQIECAAIF2C8gb2i1ar/MJTuvVz9rOxkZW29aaGAECBAgQIECAAAECBAgQKExA3lAYfSUGFpxWok2KtJFZAwQIECBAgAABAgQIECBAgEC7BeQN7Rat1/kEp/XqZ21nYyOrbWtNjAABAgQIECBAgAABAgQIFCYgbyiMvhIDC04r0SZF2sisAQIEhiyw9sEyC1aOivlL+h62s+PIGLvdss4+bGfIRTsBAQIECBAgQIAAAQKdFJA3dFK3+ucWnFa/h42YgY2sEW02SQKdE+gLTXtnnRwPzJ0dRy+ZGgtX98SYbXrjytHnxs4TDoqeSRd27knlnZuVMxMgQIAAAQIECBAgMEQBecMQAWv+dsFpzRtcl+nZyOrSSfPousDaqyxj1E7rh162qFlXWa4NTXvmXJYZ/GHV+DhlxZSYPnxa7Dfs9uxnvRNPEJ52fXEakAABAgQIECBAgEDxAvKG4ntQ5goEp2XujtrWCdjILAYCgxBIoelVUyLuvinidd+I2GFsxIMLIi4+KmKPAyKOnNaMqyz7guI7zj8kxq2Yu0XEO0bsHeNOvz42CpgHQe4tBAgQIECAAAECBAhUS0DeUK1+dbtawWm3xY03KAEb2aDYvKnJAv2h6Y0z1yjstn/E8TMiLj8x4t7frvnZgZMbEZ4u6Luf6WEfuyJmDj973RWmGy6NdAXq5BVnxnVnHRdjdhjR5FVj7gQIECBAoHwC7lFevp6oiEDNBOQNNWtom6cjOG0zqNN1RsBG1hlXZ62xQPo6/oyXrg9JNzfVFKaeeHXtr7Kcc09vHH7BDTFhm7viByPP2ETi0OXnxbzVe8a1px4c++4+usaLwtQIECBAgEDFBNyjvGINUy6BagrIG6rZt25VLTjtlrRxhiRgIxsSnzc3VaD/a/n9V5hu6JBC0/6v79fcxxWnNW+w6REgQIBAPQXco7yefTUrAiUUkDeUsCklKklwWqJmKGXLAjYyq4PAIAXuvzVi+kGbvvmU2RG77DPIk1bsbe5xWrGGKZcAAQIECPQJ+PPbMiBAoEsC8oYuQVd0GMFpRRvXtLJtZE3ruPm2RcAVp2sYXbHSluXkJAQIECBAoJsCvjHSTW1jEWi2gLyh2f0faPaC04GE/L4UAjayUrRBEVUScI/TjbvVf4+0ebPj6MVTY+Hqnhi7TW98ffS5sfOEg6Jn0oURw4ZVqcNqJUCAAAECtRZwj/Jat9fkCJRKQN5QqnaUrhjBaelaoqDNCdjIrAsCOQXSE2ivmhJx48w1b0z3ND1+RsTlJ65/YNSBkyOOnNacwHDtU3kXPrx9zF+8PHYdPTLGbLs0YkTfA6GEpjkXmMMJECBAgEBnBVxx2llfZydAYL2AvMFq2JqA4NT6qISAjawSbVJk2QT6w9O7b1r/IKj+r+/vcUCzQtOy9UY9BAgQIECAwNYF3OPUCiFAoEsC8oYuQVd0GMFpRRvXtLJtZE3ruPm2TWDtVZYxaqf1p0xf43eVZduInYgAAQIECBDogIB7lHcA1SkJENicgLzButiagODU+qiEgI2sEm1SJAECBAgQIECAAIH2CbhHefssnYkAgS0KyBssDsGpNVB5ARtZ5VtoAgQIECBAgAABAgTyC7hHeX4z7yBAIJeAvCEXV+MOdsVp41pezQnbyKrZN1UTIECAAAECBAgQIECAAIEyC8gbytyd4msTnHa5B5/73Ofipz/9afzmN7+Je+65J/72t7/F6NGj4ylPeUpMmjQpTjrppBgxYsQmVd16663xta99La6//vr4v//7v7j//vtjhx12yN73yle+covvG8z0Xv3qV8cll1ySvfUDH/hAfPCDH9zkNOlnH/rQh7Z6+m9/+9tx+OGHD6aETd5jI2sLo5MQIECAAAECBAgQIECAAAECGwjIGyyHrQkITru8PnbeeedYtGhRFno+9rGPzULTO++8M+67776skmc84xlx3XXXxaMf/eh1lT388MOx3Xbbrfv/03/U6b1//etf4+67785+/sxnPjO++93vxpgxY4Y0o+985ztxxBFHrDvHQMHpXnvtFePGjdvsmOeff3485znPGVI9/W+2kbWF0UkIECBAgAABAgQIECBAgACBDQTkDZbD1gQEp11eHxdccEG88IUvzILOPvx1o19zzTXxqle9Knp7e7OrRy+88MJ1v1u5cmXssssu8Za3vCVOPPHEeNKTnrTudyksfc1rXpNdgXr88cfHrFmzBj2jBx98MJ761KdGGm+33XaLX/3qVwNecbqlYHXQRWzhjTaydos6HwECBAgQIECAAAECBAgQICBvsAYEpxVZA+edd15MnTo1HvOYx8S99967rurVq1dnX+nf0tWkl156aRa6Dhs2LLtydezYsYOa8emnnx7/8R//kd0S4JOf/GT86Ec/EpwOStKbCBAgQIAAAQIECBAgQIAAgSoICE6r0KXianTFaXH2m4z8zW9+M4488sjYcccdY/HixS1XtmGo+otf/GJQX4+fPXt2PPe5z82+pp/qeNGLXiQ4bbkDDiRAgAABAgQIECBAgAABAgSqKCA4rWLXulez4LR71gOO9J73vCc+8YlPxMEHH5yFlq2+0n1O99xzz+zw9OCo/fffv9W3Zselr+Y/61nPiltuuSV+//vfx+Mf//iWg9NUa7pCdsGCBZHu35puQTB58uQYP358rhoGOthGNpCQ3xMgQIAAAQIECBAgQIAAAQJ5BeQNecWadbzgtOB+r1ixIv7yl7/El7/85ezp9aNGjYrvfe978bznPa/lytJ9U0877bTsK/rpK/7bbrtty+9NB6awNoW255xzTrz73e/O3tvqFaebG2j48OHx0Y9+NN71rnflqmNrB9vI2kbpRAQIECBAgAABAgQIECBAgMBaAXmDpbA1AcFpQevjzW9+c1x00UUbjX7sscdm4WmeK0b/+te/Zsenr+t//OMfjzPPPDPXjObOnZu9f++9945f//rXkULPVoLT9PCq22+/PVLNEyZMiB122CG7WvX888+PSy65JDvHpz71qXjrW9/acj39m9Xm3pDu3ZqubE1X13oRIECAAAECBAgQIECAAAECBNohIDhth2J9zyE4Lai36SrPdC/RZcuWxW233bbuq+5ve9vb4sMf/nD2oKeBXum96crQX/7yl9lX5H/+85+vCz4Hem//71/84hfHD37wg7jhhhviBS94wbq3DXTF6dbO//a3vz2mTZuWfXX/zjvvzO7Z2spLcNqKkmMIECBAgAABAgQIECBAgACBdgkITtslWc/zCE5b7Osb3vCG+OIXv9ji0esPO/vss7OvwQ/0uuaaa+Itb3lL3HHHHXHyySfHZz7zma2+5eGHH47jjjsuvvGNb8S4cePiJz/5Sey1114DDbPR79N80rze9KY3xRe+8IWNfjeU4LS3tze7OnT58uVZfemBV0N92ciGKuj9BAgQIECAAAECBAgQIECAwCMF5A3WxNYEBKctro9078+vfe1rLR69/rCpU6fGSSed1NL70pWj6cn26WrTefPmbfEBS6tXr47Xv/718aUvfSl22223+PGPfxxPetKTWhqj/6D01f599tkn+hZA3HzzzTFmzJi2BafpROkK2PTV//POOy/e+c535qptcwfbyIZM6AQECBAgQIAAAQIECBAgQIDAIwTkDZaE4LRCa2CXXXbJvrZ/5ZVXxlFHHbXZytMVqZ/97Gfj0Y9+dPzwhz+Mpz3tablneOONN8bTn/707GFUO+200ybvX7hwYaQHV6V7l6av2j/1qU+N6667ruVxUgCcguANHzjV8ps3c6CNbCh63kuAAAECBAgQIECAAAECBAhsTkDeYF0ITiu0BlIY+sADD2RXt6YHLz3ydcYZZ2QPYEphZgoyn/Oc5wxqdv3BaatvPuCAAyK9p5XXypUrY9ddd83mMXPmzHjNa17Tytu2eoyNbMiETkCAAAECBAgQIECAAAECBAg8QkDeYEkITiuyBq6//vo49NBDs2rT0+7T0+o3fH3wgx+MD33oQ7H99ttHuidqug9pp15DucfphRdemN2vddttt83u2brnnnsOuUwb2ZAJnYAAAQIECBAgQIAAAQIECBAQnFoDOQTc4zQH1lAPvfzyy+Pee++NSZMmZQ9P6n+lBz1deumlcfrpp8d9990XL3/5y+Oqq67aaLgLLrggTjvttBgxYkT2Nf4jjjii5XIe//jHZ8em+42+4hWvaOl9WwtOf//738f06dPjrW99a+y///7rzpeuNP385z+f1ZkeDNXKQ65aKqbvIMFpq1KOI0CAAAECBAgQIECAAIFCBFatinhoccSoDW6Ht2xRxIjR0fcwk0JKMujAAvKGgY2afITgtIvd7w8/05Djx4/PHuy0ePHi7KrMBx98MKvk+c9/fnzrW9/K7l/a/7rrrrvicY97XKSHQo0dOzYmTpy4xaqnTZuW3bt0w1d6AFR6zZgxI97whje0NOOtBacbfs0/1ZPmkh5odcstt0Rvb292/hT+pqB45MiRLY030EE2soGE/J4AAQIECBAgQIAAAQIEChNIoelVUyLuvinidd+I2GFsxIMLIi7ue3bJHgdEHDlNeFpYc7Y+sLyhpI0pSVmC0y424rbbbotLLrkke6BTChnT1aXpatN0P9AUdr7yla/M/i+FkBu+0vue8IQntFRp+rr/I7/C3+7gNN27NF1x+vOf/zzmzJkT8+fPz64wTQ+2Ouigg+L1r399HHPMMdE/bkuFD3CQjawdis5BgAABAgQIECBAgEBHBNZeabhg5aiYv2R57LrjyBi73TJXGnYEu4Qn7Q9Nb5y5prjd+r6ZefyMiMtPjLj3t2t+duBk4WkJW5dKkjeUtDElKUtwWpJGKGPrAjYyK4QAAQIECBAgQIAAgVIK9IVmvbNOjgfmzo6jl0yNhat7Ysw2vXHl6HNj5wkHRc+kC11pWMrGtbGo9HX8GS9dH5Ju7tQpTD3x6o2/xt/GEpxq8ALyhsHbNeGdgtMmdLkGc7SR1aCJpkCAAAECBAgQIECgbgJrQ9OeOZdlM/vDqvFxyoopMX34tNhv2O3Zz3onniA8rVvfNzef/q/l919huuExKTTt//p+EywqNkd5Q8Ua1uVyBaddBjfc4ARsZINz8y4CBAgQIECAAAECBDoo0Hel4R3nHxLjVszd4iB3jNg7xp1+vSsNO9iG0pz6/lsjph+0aTmnzI7YZZ/SlKmQjQXkDVbE1gQEp9ZHJQRsZJVokyIJECBAgAABAgQINEpgQd/9TA/72BUxc/jZ664w3RAgXYE6ecWZcd1Zx8WYHUY0yqZxk3XFaWVbLm+obOu6UrjgtCvMBhmqgI1sqILeT4AAAQIECBAgQIBAuwXm3NMbh19wQ0zY5q74wcgzNjn9ocvPi3mr94xrTz049t19dLuHd76yCLjHaVk6Mag65A2DYmvMmwSnjWl1tSdqI6t2/1RPgAABAgQIECBAoI4CrjitY1cHMae+e93GVVMibpy55s3pnqbHz4i4/MT1D4w6cHLEkdM8KGwQvJ1+i7yh08LVPr/gtNr9a0z1NrLGtNpECRAgQIAAAQIECFRHwD1Oq9OrTlfaH57efdP6B0H1f31/jwOEpp32H8L55Q1DwGvAWwWnDWhyHaZoI6tDF82BAAECBAgQIECAQM0E+sKy3lknR8+cy7KJpXuanrJiSkwfPm3dPU97J54QPZMudKVhzVq/2emk8PShxRs/CCx9jX9E320ahg1rgkAl5yhvqGTbula04LRr1AYaioCNbCh63kuAAAECBAgQIECAQMcE1oanD8ybHUcvnhoLV/fE2G164+ujz42dJxwkNO0YvBMTaI+AvKE9jnU9i+C0rp2t2bxsZDVrqOkQIECAAAECBAgQqJPA2isNFz68fcxfvDx2HT0yxmy71JWGdeqxudRWQN5Q29a2ZWKC07YwOkmnBWxknRZ2fgIECBAgQIAAAQIECBAg0DwBeUPzep5nxoLTPFqOLUzARlYYvYEJECBAgAABAgQIECBAgEBtBeQNtW1tWyYmOG0Lo5N0WsBG1mlh5ydAgAABAgQIECAwRIG1X1dfsHJUzF/S93X1HUfG2O2W+br6EFm9nQCBzgrIGzrrW/WzC06r3sGG1G8ja0ijTZMAAQIECBAgQKCaAv0PSJrb94CkJWsekDSm7wFJV3pAUjX7qWoCDRKQNzSo2YOYquB0EGje0n0BG1n3zY1IgAABAgQIECBAoCWBtaFpz5zLssP/sGp8nLJiSkwfPi32G3Z79rPeiSd4unxLmA4iQKDbAvKGbotXazzBabX61dhqbWSNbb2JEyBAgAABAgQIlF1g2aK44/xDYtyKuVus9I4Re8e406+PGLVT2WejPgIEGiYgb2hYw3NOV3CaE8zhxQjYyIpxNyoBAgQIECBAgACBgQQW9N3P9LCPXREzh5+97grTDd+TrkCdvOLMuO6s42LMDiMGOp3fEyBAoKsC8oauclduMMFp5VrWzIJtZM3su1kTIECAAAECBAiUX2DOPb1x+AU3xIRt7oofjDxjk4IPXX5ezFu9Z1x76sGx7+6jyz8hFRIg0CgBeUOj2p17soLT3GTeUISAjawIdWMSIECgggJrn+i80VdB+75CGiP6/qI+bFgFJ6RkAgQIlF/AFafl75EKCRDYsoC8werYmoDg1PqohICNrBJtUiQBAgSKFUih6VVTIu6+KeJ134jYYWzEgwsiLj4qYo8DIo6cJjwttkNGJ0CgrgLucVrXzpoXgUYIyBsa0eZBT1JwOmg6b+ymgI2sm9rGIkCAQAUF+kPTG2euKX63/SOOnxFx+YkR9/52zc8OnCw8rWBrlUyAQAUE+vbg3lknR8+cy7Ji0z1NT1kxJaYPn7bunqe9E0+InkkX+gesCrRTiQSaJiBvaFrH881XcJrPy9EFCdjICoI3LAECBKoikL6OP+Ol60PSzdWdwtQTr/ZE56r0VJ0ECFRLYG14+sC82XH04qmxcHVPjN2mN74++tzYecJBQtNqdVO1BBolIG9oVLtzT1ZwmpvMG4oQsJEVoW5MAgQIVEyg/2v5/VeYblh+Ck37v75fsWkplwABApURWHuf6YUPbx/zFy+PXUePjDHbLnWf6co0UKEEmikgb2hm31udteC0VSnHFSpgIyuU3+AECBCojsD9t0ZMP2jTek+ZHbHLPtWZh0oJECBAgAABAgS6IiBv6ApzZQcRnFa2dc0q3EbWrH6bLQECBAYl4IrTQbF5EwECBAgQIECgyQLyhiZ3f+C5C04HNnJECQRsZCVoghIIECBQZgH3OC1zd9RGgAABAgQIECitgLyhtK0pRWGC01K0QREDCdjIBhLyewIECDRcIN1X76opETfOXAOR7ml6/IyIy09c/8CoAydHHDnNE50bvlRMnwABAgQIECCwoYC8wXrYmoDg1PqohICNrBJtUiQBAgSKFegPT+++af2DoPq/vr/HAULTYrtjdAIECBAgQIBAKQXkDaVsS2mKEpyWphUK2ZqAjcz6IECAAIGWBNY+0TlG7bT+8PQ1/hGjXWnaEqCDCBAgQIAAAQLNEpA3NKvfeWcrOM0r5vhCBGxkhbAblAABAgQIECBAgAABAgQI1FpA3lDr9g55coLTIRM6QTcEbGTdUDYGAQIECBAgQIAAAQIECBBoloC8oVn9zjtbwWleMccXImAjK4TdoAQIECBAgAABAgQIECBAoNYC8oZat3fIkxOcDpnQCbohYCPrhrIxCBAgQIAAAQIECBAgQIBAswTkDc3qd97ZCk7zijm+EAEbWSHsBiVAgAABAgQIECBAgAABArUWkDfUur1DnpzgdMiETtANARtZN5SNQYAAAQIECBAgQIAAAQIEmiUgb2hWv/POVnCaV8zxhQjYyAphNygBAgQIECBAgAABAgQIEKi1gLyh1u0d8uQEp0MmdIJuCNjIuqFsDAIECBAgQIAAAQIECBAg0CwBeUOz+p13toLTvGKOL0TARlYIu0EJECBAgAABAgQIECBAgECtBeQNtW7vkCcnOB0yoRN0Q8BG1g1lYxAgQIAAAQIECBAgQIAAgWYJyBua1e+8sxWc5hVzfCECNrJC2A1KgAABAgQIECBAgAABAgRqLSBvqHV7hzw5wemQCZ2gGwI2sm4oG4MAAQIECBAgQIAAAQIECDRLQN7QrH7nna3gNK+Y4wsRsJEVwm5QAgQIECBAgAABAgQIECBQawF5Q63bO+TJCU6HTOgE3RCwkXVD2RgECBAgQIAAAQIECBAgQKBZAvKGZvU772wFp3nFHF+IgI2sEHaDEiBAgAABAgQIECBAgACBWgvIG2rd3iFPTnA6ZEIn6IaAjawbysYgQIAAAQIECBAgQIAAAQLNEpA3NKvfeWcrOM0r5vhCBGxkhbAblAABAgQIECBAgAABAgQI1FpA3lDr9g55coLTIRM6QTcEbGTdUDYGAQIECBAgQIAAAQIECBBoloC8oVn9zjtbwWleMccXImAjK4TdoAQIECBAgAABAgQIECBAoNYC8oZat3fIkxOcDpnQCbohYCPrhrIxCBAgQIAAAQIECBAgQIBAswTkDc3qd97ZCk7zijm+EAEbWSHsBiVAgAABAgQIECBAgAABArUWkDfUur1DnpzgdMiETtANARtZN5SNQYAAAQIECBAgQIAAAQKlFVi1KuKhxRGjdlpf4rJFESNGRwwbVtqyy16YvKHsHSq2PsFpsf5Gb1HARtYilMMIECBAgAABAgQIECBAoH4CKTS9akrE3TdFvO4bETuMjXhwQcTFR0XscUDEkdOEp4PsurxhkHANeZvgtCGNrvo0bWRV76D6CRAgQIAAAQIECBCohYCrHrvfxv7Q9MaZa8bebf+I42dEXH5ixL2/XfOzAycLTwfZGXnDIOEa8jbBaUMaXfVp2siq3kH1EyBAgAABAgQIECBQeQFXPRbTwvR1/BkvXR+Sbq6KFKaeePXGX+MvptrKjSpvqFzLulqw4LSr3AYbrICNbLBy3keAAAECBAgQIECAAIE2CLjqsQ2IQzhF/9fy+68w3fBUKTTt//r+EIZo6lvlDU3tfGvzFpy25uSoggVsZAU3wPAECBAgQIAAAQIECDRbwFWPxff//lsjph+0aR2nzI7YZZ/i66toBfKGijauS2ULTrsEbZihCdjIhubn3QQIECBAgAABAgQIEBiygKseh0w46BOwHzTdQG+UNwwk1OzfC06b3f/KzN5GVplWKZQAAQIECBAgQIAAgToLuOqx+911tW9HzeUNHeWt/MkFp5VvYTMmYCNrRp/NkgABAgQIECBAgACBEgu46rGY5ri/bEfd5Q0d5a38yQWnlW9hMyZgI2tGn82SAAECBAgQIECAAIGSCnTrqscUEj60eOOnw6exR4yOGDaspDhdKKs/PL37pvUPguoPsvc4IOLIac32GUIL5A1DwGvAWwWnDWhyHaZoI6tDF82BAAECBAgQIECAAIHKCnTjqkfh4NaXh1C5I//5yBs6wlqbkwpOa9PKek/ERlbv/podAQIECBAgQIAAAQIVEOhksNmNYLYCxErsvoC8ofvmVRpRcFqlbjW4VhtZg5tv6gQIECBAgAABAgQIlEegU1c9dutWAOWRVElJBOQNJWlEScsQnJa0McraWMBGZkUQIECAAAECBAgQIECg5gIePlXzBpdzevKGcvalLFUJTsvSCXVsVcBGZoEQIECAAAECBAgQIECgAQL33xox/aBNJ3rK7Ihd9mkAgCl2W0De0G3xao0nOK1WvxpbrY2ssa03cQIECBAgQIAAAQIEmiLgitOmdLpU85Q3lKodpStGcFq6lihocwI2MuuCAAECBAgQIECAAAECNRZwj9MaN7fcU5M3lLs/RVcnOC26A8ZvScBG1hKTgwgQIECAAAECBAgQIFBNgfTQqaumRNw4c039u+0fcfyMiMtPjLj3t2t+duDkiCOnRQwbVs05qrqUAvKGUralNEUJTkvTCoVsTcBGZn0QIECAAAECBAgQIECg5gL94endN0W87hsRO4yN6P/6/h4HCE1r3v6ipidvKEq+GuMKTqvRp8ZXaSNr/BIAQIAAAQIECBAgQIBAEwRSePrQ4ohRO62fbfoa/4jRrjRtQv8LmKO8oQD0Cg0pOK1Qs5pcqo2syd03dwIECBAgQIAAAQIECBAg0BkBeUNnXOtyVsFpXTpZ83nYyGreYNMjQIAAAQIECBAgQIAAAQIFCMgbCkCv0JCC0wo1q8ml2sia3H1zJ0CAAAECBAgQIECAAAECnRGQN3TGtS5nFZzWpZM1n4eNrOYNNj0CBAgQIECAAAECBAgQIFCAgLyhAPQKDSk4rVCzmlyqjazJ3Td3AgQIECBAgAABAgQIECDQGQF5Q2dc63JWwWldOlnzedjIat5g0yNAgAABAgQIECBAgAABAgUIyBsKQK/QkILTCjWryaXayJrcfXMnQIAAAQIECBAgQIAAAQKdEZA3dMa1LmcVnNalkzWfh42s5g02PQIECBAgQIAAAQIECBAgUICAvKEA9AoNKTitULOaXKqNrMndN3cCBAgQIECAAAECBAgQINAZAXlDZ1zrclbBaV06WfN52Mhq3mDTI0CAAAECBAgQIECAAAECBQjIGwpAr9CQgtMKNavJpdrImtx9cydAgAABAgQIECBAgAABAp0RkDd0xrUuZxWc1qWTNZ+HjazmDTY9AgQIECBAgAABAgQIECBQgIC8oQD0Cg0pOK1Qs5pcqo2syd03dwIECBAgQIAAAQIECBAg0BkBeUNnXOtyVsFpXTpZ83nYyGreYNMjQIAAAQIECBAgQIAAAQIFtY4GNgAAIABJREFUCMgbCkCv0JCC0wo1q8ml2sia3H1zJ0CAAAECBAgQIECAAAECnRGQN3TGtS5nFZzWpZM1n4eNrOYNNj0CBAgQIECAAAECBAgQIFCAgLyhAPQKDSk4rVCzmlyqjazJ3Td3AgQIECBAgAABAgQIECDQGQF5Q2dc63JWwWldOlnzedjIat5g0yNAgAABAgQIECBAgAABAgUIyBsKQK/QkILTCjWryaXayJrcfXMnQIAAAQIECBAgQIAAAQKdEZA3dMa1LmcVnNalkzWfh42s5g02PQIECBAgQIAAAQIECBAgUICAvKEA9AoNKTitULOaXKqNrMndN3cCBAgQIECAAAECBAgQINAZAXlDZ1zrclbBaV06WfN52Mhq3mDTI0CAAAECBAgQIECAAAECBQjIGwpAr9CQgtMKNavJpdrImtx9cydAgAABAgQIECBAgAABAp0RkDd0xrUuZxWc1qWTNZ+HjazmDTY9AgQIECBAgAABAgQIECBQgIC8oQD0Cg0pOK1Qs5pcqo2syd03dwIECBAgQIAAAQIECBAg0BkBeUNnXOtyVsFpXTpZ83nYyGreYNMjQIAAAQIECBAgQIAAAQIFCMgbCkCv0JCC0wo1q8ml2sia3H1zJ0CAAAECBAgQIECAAAECnRGQN3TGtS5nFZzWpZM1n4eNrOYNNj0CBAgQIECAAAECBAgQIFCAgLyhAPQKDSk4rVCzmlyqjazJ3Td3AgQIECBAgAABAgQIECDQGQF5Q2dc63JWwWldOlnzedjIat5g0yNAgAABAgQIECBAgAABAgUIyBsKQK/QkILTCjWryaXayJrcfXMnQIAAAQIECBAgQIAAAQKdEZA3dMa1LmcVnNalkzWfh42s5g02PQIECBAgQIAAAQIECBAgUICAvKEA9AoNKTitULOaXOrw4cNj1apV8ZjHPKbJDOZOgAABAgQIECBAgAABAgQItFHgvvvui2HDhsWKFSvaeFanqouA4LQunaz5PLbffvtYuXJl7LLLLjWfaXmnl/4wSS/hdXl7pLI1AtaqlVAlAeu1St1Sq/VqDVRFwFqtSqfU6bNrOdbA/fffH9ttt10sXbq0HAWpolQCgtNStUMxBMor4OsL5e2NyjYWsFatiCoJWK9V6pZarVdroCoC1mpVOqXOJGC9WgcEyi0gOC13f1RHoDQC/kAvTSsUMoCAtWqJVEnAeq1St9RqvVoDVRGwVqvSKXUKTq0BAuUXEJyWv0cqJFAKAR9AS9EGRbQgYK22gOSQ0ghYr6VphUJaELBeW0BySCkErNVStEERLQpYry1COYxAQQKC04LgDUugagL+QK9ax5pbr7Xa3N5XcebWaxW71tyardfm9r5qM7dWq9axZtdrvTa7/2ZffgHBafl7pEICpRDwB3op2qCIFgSs1RaQHFIaAeu1NK1QSAsC1msLSA4phYC1Woo2KKJFAeu1RSiHEShIQHBaELxhCVRNwB/oVetYc+u1Vpvb+yrO3HqtYteaW7P12tzeV23m1mrVOtbseq3XZvff7MsvIDgtf49USKAUAv5AL0UbFNGCgLXaApJDSiNgvZamFQppQcB6bQHJIaUQsFZL0QZFtChgvbYI5TACBQkITguCNywBAgQIECBAgAABAgQIECBAgAABAuUVEJyWtzcqI0CAAAECBAgQIECAAAECBAgQIECgIAHBaUHwhiVAgAABAgQIECBAgAABAgQIECBAoLwCgtPy9kZlBAgQIECAAAECBAgQIECAAAECBAgUJCA4LQjesAQIECBAgAABAgQIECBAgAABAgQIlFdAcFre3qiMAAECBAgQIECAAAECBAgQIECAAIGCBASnBcEblgABAgQIECBAgAABAgQIECBAgACB8goITsvbG5URIECAAAECBAgQIECAAAECBAgQIFCQgOC0IHjDEiBAgAABAgQIECBAgAABAgQIECBQXgHBaXl7ozICWxR4wxveEF/84he3KvTHP/4xJk6cuO6YH/7wh3HIIYds9T3vfve745xzzmlZvpVz9p8sHfsP//APm5z7lltuiY9+9KNx3XXXxcKFC2P33XePl770pfG+970v+99e1Reow3r97//+7zjxxBO32ozPfOYzcfLJJ1e/YQ2eQVnWan8LbrvttjjvvPPiu9/9btx5552xevXq2GuvveLFL35xTJ06NSZMmLDFbtlb67+Q67Be7a31X6f9Myzbev3zn/8cn/jEJ+Laa6+Nu+66K3p6euI5z3lOnH766XHooYdutTH213qv2zqsVXtrvdeo2XVfQHDafXMjEhiyQP8f6Pvss0885jGP2ez5vvKVr8S4ceM2CU7TB8P9999/s++ZPHlyruDnN7/5TUyZMmWL80kfRNMH01GjRsU999wTO+2000bH3nDDDXH44YfH3//+9xg7dmw8/vGPj/RhdPHixdm8fvKTn0Sao1e1BeqwXvs/gKZ1uaU1mYKso446qtrNanj1ZVmrqQ0//elPs/1xyZIlMXLkyNh7772z7sydOzeWL18eO+ywQ1xzzTVx8MEHb9I1e2szFnId1qu9tRlrNc2yTOs1/WP+kUcemX3efNSjHhX77bdf9o/38+bNi76/HMe5554b73znOzfbHPtr/ddsHdaqvbX+69QMuysgOO2ut9EItEWg/w/0GTNmZB9EW3n1Xx2arvpM/7sbr+OOOy6uuOKKOOGEE+LSSy/daMgUBjzxiU+Me++9NwtrL7jggiwcSB9iX/Oa18Q3v/nNePrTnx6/+tWvsg+xXtUVqMN67f8A+vrXvz7S//aqp0BZ1mq6sjQF9CkkTVfgp71+1113zdDvu+++eNOb3hTf+ta3Yvz48dlf9IcNG7auIfbWeq7Nzc2qDuvV3mq9bk2gE59dH3jggezz54IFCyJ9Tv2v//qv7GrT9EpXn77iFa+IBx98MFJA+oIXvMBn1+Ys0XUzLcveOpS1am9t4MI15Y4KCE47yuvkBDojUJY/0Lc2u7/97W+xxx57ZFdGXX311fGSl7xko8PPP//8OOOMM2LfffeN3/3ud7Hddtut+/2iRYviCU94QqRzXHnlla7i68wy6tpZ67BefQDt2nIpdKCyrNXf//738dSnPjX7R6P58+dnV+Rv+Ep7Y/pZClh/+9vfZsf2v+ythS6hrg5eh/Vqb+3qkil0sLKs1//8z/+MU089NXbZZZfsH6f6Q9N+nLPPPjve+973ZrdE+d73vueza6GrppjB67BW7a3FrB2j1ldAcFrf3ppZjQXK8gf61ojT/R7f+ta3xm677RZ//etfY9ttt93o8Oc///nx85//PNIH1Pe85z2bnOqkk06Kz33uc9nVpzNnzqxxN+s/tTqsVx9A679O0wzLslZnz54dz3rWs7Lbm6QrTjb3Sn/pT1dM/frXv86uzu9/2VubsVbrsl7trdbr1gQ6ccXppEmT4vLLL9/i58tbb701nvSkJ2WfW+++++51V/unOu2vzVivZfksMJS1am9txlo1y+4JCE67Z20kAm0T6P8DPX2FM12p2dvbm32wSze1f+1rX7vRh7z+Qfs/fKYrOdM98dKDRrbffvt48pOfnH1V6bnPfW7b6tvww+Vpp50W//7v/77RuVeuXJndn++hhx7Kvgr1whe+cJOxv/SlL8XrXve67L5+f/rTn9pam5N1V6Dq6zVp9X8APfDAA7P/ZtI9e0ePHh1Pe9rT4pWvfGU85SlP6S6q0ToiUJa12n+f52XLlmVX5D9yfaWH/6V78qUrpdJf7NM9+tLL3tqRZVHak1Z9vdpbS7u0OlJYWdbrYYcdlj2Q9F3velf2cKhHvpYuXbpuT023REmfte2vHVkSpT1p1deqvbW0S0thFRYQnFa4eUpvrkD/H+ibE0iB5IUXXhjpQU8bvvqD0y2ppfDnoosuWvdhcSi6Kejsf4BOeoBUCps2fG34+/QAqfSV/ke+fvazn2X3lkr37kvhwfDhw4dSkvcWKFD19brhB9DNMaavU7/jHe/Inn7+yCurC2Q39CAEyrRWP/KRj8T73//+7MqndA/o5z3vedmM0t6Y/kEqXRX16U9/eqMH+tlbB9H0Cr+l6uvV3lrhxTeI0suyXo8//vj46le/OuAVp2mK6dYnp59+ejZb++sgml7Rt1R9rdpbK7rwlF1qAcFpqdujOAKbF/jwhz+cBTQve9nLsifRp1AxPUQp/UU73Y8pBTnp4Ur9/0qezvLLX/4yC1TTV9/TFXPpCtV01Wm6svPjH/94rFixItKHyVmzZg2ZPf1lP9WSrsa76aabNjnf//7v/8azn/3s7OfpX/ZHjRq1yTH9V1SlX9x///2b3ONvyEU6QdcEqr5eE1S61+73v//97EFn6R8Fdt555+zeaOm/qenTp2f3mpw6dWr827/9W9dcDdR+gbKt1S984QtZIH/zzTdvNNn01fy0bx9++OEb/dze2v41UeYzVn292lvLvLraX1tZ1uu5556bXW2aPgenP8fTt0c2fJ1zzjlx5plnZj8666yzss+z6WV/bf+aKOsZq75W7a1lXVnqqrKA4LTK3VM7gUcIrFq1Ko499tj4xje+kT0x9JZbbmnpifTpyffp6/rptaWvzreKnQKk9PX6P//5z9lf+N/5zndu8tY0RrpdQHo9/PDDGz0Ruv/g9KTodJ70SgHv4x73uFZLcFxFBKqyXgfiTLeiSOs83TYjXQWY/jHDq14CRazV9I9ZH/zgB+Pzn/98dp/TCRMmZKhpb0z1HHPMMdl9oB/96Eevw7a31mvdDXY2VVmvA83P3jqQUD1+3+31et9992WfL5csWRJHHnlkdiue/n00fX5O39hKv0uv9Gd7+izb//nYZ9d6rLnBzqIqa3Wg+dlbBxLyewKbCghOrQoCNRNIVyZNnDgxm1W62jNd9dnKK30N9Be/+EX2FdBH3pO0lff3H9P/F/d0Rexf/vKX2H333Td5u3+1zyNa72OrsF4H6kAK/8ePH589BC09rfftb3/7QG/x+woKdHutpqtJr7322uybBenK0/SgvfRK99d94xvfGN/+9rezh0Kl/bT/FhH21gourA6VXIX1OtDU7a0DCdXn991er1//+tez+5One+2PGDEi9t1335g/f362v6Z//Bw3blz8+Mc/zv7x6gMf+EAGbX+tz3obykyqsFYHmp+9dSAhvyewqYDg1KogUEOBsWPHxsKFC7N7OPVfSTrQNNO/qqfANP0lPX3Nf7Cvf/mXf8n+kp/+0p/+Yr+5l/tEDVa3nu8r+3ptRT39d5au3D7llFNi2rRprbzFMRUU6NZaveqqq+Koo46KXXbZJfsqaXoI1IavRYsWZd8qSLcxueSSS7IAIL3srRVcVB0suezrtZWp21tbUarHMd1ar/1a6eKC9HCo9AyAtJemf5w6+uijs7D05S9/efz85z+Pz372s/Gv//qv9td6LLG2zaLsa7WVidpbW1FyDIH1AoJTq4FADQXSVZ733ntvXHrppdk9GVt5vec978k+QG4t8BzoPOkhTmns9Jf6r3zlK/GqV71qs2/x5OeBJJv1+7Kv11a6kYKryy67LHtQz2c+85lW3uKYCgp0a62m+++l+/C95CUviauvvnqzUuke1tdcc81GXyW1t1ZwUXWw5LKv11ambm9tRakex3RrvQ6klW6Tku5j/ve//z1mz54dz3zmM7O32F8HkmvO78u+VlvphL21FSXHEBCcWgMEaiuQvmqU/tU83Wv0Jz/5SfZk+lZe6V/Xv/Wtb8Wb3/zm7J56g3ml4Cj9QZyujkpfd9p+++23eJr+WwOcffbZkULbR75OOumk7P59r371q+PLX/7yYMrxngoIVGW9DkS5//77x+9+97v46Ec/Gv/v//2/gQ73+woKdHOtvuUtb8kePJbC0bQvb+6VQtV0Vf/b3va27AFl/S97awUXVwdKrsp6HWjq9taBhOrx+26u14HE0n1O05Wne+21V9x2220b3Yff/jqQXv1/X5W1OlAn7K0DCfk9gY0FXHFqRRComUD/laM77bRTpBvgp3s3DfRKgU+6V1761/QUfk6aNGmgt2z29+lr/unqqHT/vYsuumir50g3209PIU/3lUrjpwfr9L/SFatPeMIT4m9/+1uk+1ClD7Be9RSoynrdmv53vvOdOOKII7JDfvnLX8azn/3sejar4bPq5lrtf3DD1r6qnx5usmDBgk3uq2tvbfhCXTv9qqxXe6v1mgS6uV63Jr58+fJ4znOekz0jIF31f8YZZ2x0uP3Veq3KWrW3WqsE2isgOG2vp7MR6LjA9773vfj+978f6V6i/U+dT4OmrxSlD3Tp3kzpatNzzjkn3v3ud6+rJ31lP73nkEMOWfcgkfTLdK43vOEN2YOcnvrUp8aNN9640e/TMS984Quz35966qnZ/23ulULaxz72sVn4mu4X9Q//8A9btVi8eHF2j770vvT15vRQnRTypp+/5jWvye6zmh5s9Zvf/Gajf+3vOLAB2ipQh/Xa29ub3eMsrf30F6q+Pzgzo/TfWbqPcPpdeur5UG5z0VZ0JxuUQJnW6p133hn77LNPpL/Eb+3hUOmq/nRf0z333HPdnO2tg2p/5d5Uh/Vqb63csht0wWVar2kSs2bNiic/+cmRrrrrf/35z3+O9G2nVOsznvGM7IGpw4cP32jO9tdBL4HKvLEOa9XeWpnlptAKCQhOK9QspRJIAldeeWUcc8wxGcYee+yRhZWrVq2KP/7xj7F06dLs5ynISV/z7A940s/S/ZrSlZyPetSjssAy/YX7jjvuiLvvvjt7T7ryM33tM13p+chXesLo7bffnj1ZNAWzm3tdcMEFcdppp2VPI503b95GY2+pcz/60Y+yK/VS3elG6+m9t9xySxaepiut0q0GUl1e1RWow3pNoeijH/3orAnpSu7030gK+dNDe9IVf+n13Oc+N7vaesyYMdVtVsMrL9tanTFjRvaPXenpt+kv7/3/UJbWXboHX7pKPx0zefLkTTpnb63/Yq7DerW31n+d9s+wbOs1fZMpfSU/fdYcP358LFmyJPv8mf5BNH0D69prr41dd911sw2yv9Z73dZhrdpb671Gza4YAcFpMe5GJTBogXQlUrr3Z3raZ7rSKN1rJ/3FOt3XNN17Kf1F+x//8R83OX8KUn/84x9nV5SmB0elf41M9yJNV5kee+yx2ftSqLq5VyvBabp5/q9//es466yz4iMf+UjL87v55puz49OVrwsXLszmke7r9/73vz8Lhr2qLVCH9ZpCqnRF9M9+9rPsthLpKul0hXcKUw888MDsvr4pvHrklSnV7lzzqi/jWk1X3Ke1l/buu+66K2tKuro0XdGfroA+4IADttgoe2u913Ad1qu9td5rdMPZlW29XnHFFXHxxRdn32pKn4nT59/99tsve6hpuup0w9tHba5L9tf6rt06rFV7a33Xp5kVJyA4Lc7eyAQIECBAgAABAgQIECBAgAABAgQIlFRAcFrSxiiLAAECBAgQIECAAAECBAgQIECAAIHiBASnxdkbmQABAgQIECBAgAABAgQIECBAgACBkgoITkvaGGURIECAAAECBAgQIECAAAECBAgQIFCcgOC0OHsjEyBAgAABAgQIECBAgAABAgQIECBQUgHBaUkboywCBAgQIECAAAECBAgQIECAAAECBIoTEJwWZ29kAgQIECBAgAABAgQIECBAgAABAgRKKiA4LWljlEWAAAECBAgQIECAAAECBAgQIECAQHECgtPi7I1MgAABAgQIECBAgAABAgQIECBAgEBJBQSnJW2MsggQIECAAAECBAgQIECAAAECBAgQKE5AcFqcvZEJECBAgAABAgQIECBAgAABAgQIECipgOC0pI1RFgECBAgQIECAAAECBAgQIECAAAECxQkITouzNzIBAgQIECBAgAABAgQIECBAgAABAiUVEJyWtDHKIkCAAAECBAgQIECAAAECBAgQIECgOAHBaXH2RiZAgAABAgQIECBAgAABAgQIECBAoKQCgtOSNkZZBAgQIECAAAECawRe9KIXxY9+9KONOLbddtsYM2ZMHHDAATF58uR43eteF30fbJERIECAAAECBAgQaJuA4LRtlE5EgAABAgQIECDQCYH+4HSvvfaKcePGZUMsXbo05s6dG4sWLcr+/6OOOiq+9rWvRQpUvQgQIECAAAECBAi0Q0Bw2g5F5yBAgAABAgQIEOiYQH9w+oEPfCA++MEPrhtn5cqVcc4558T73ve+7GcXXXRRvPGNb+xYHU5MgAABAgQIECDQLAHBabP6bbYECBAgQIAAgcoJbCk47Z/IC1/4wvjpT38aRxxxRFxzzTWVm5+CCRAgQIAAAQIEyikgOC1nX1RFgAABAgQIECCwVmCg4PS0006LCy64ICZOnBh//OMf17ndc8898dWvfjWuvvrquPnmm+Ouu+6KkSNHxlOe8pTsvqgnnXSSr/ZbZQQIECBAgAABAlsUEJxaHAQIECBAgAABAqUWGCg4TQHo5z73uXjmM58Zs2fPXjeXj370o9nX+EeNGhV77rlnjB07Nu6///647bbbYvXq1XHkkUfGlVde6aFSpe6+4ggQIECAAAECxQkITouzNzIBAgQIECBAgEALAlsLTpcvX55dQZoeFJXub5ruc9r/+slPfhIPPfRQHHzwwbHddtut+/mf/vSnOPHEEyP9/uKLL47Xvva1LVThEAIECBAgQIAAgaYJCE6b1nHzJUCAAAECBAhUTGBzwenSpUuzr+W///3vz76Kn64q/Z//+Z/Yf//9W5pdClqf+MQnxmGHHRbf/e53W3qPgwgQIECAAAECBJolIDhtVr/NlgABAgQIECBQOYH+4HRLhaew9JOf/GSk4x75evDBB2PWrFlxww03xF//+tf4+9//nn1NP73SA6Ue85jHxL333ls5EwUTIECAAAECBAh0XkBw2nljIxAgQIAAAQIECAxBoD843WuvvWLcuHHZmRYuXBi33nprrFy5Mo444oi49NJLo6enZ6NRfvvb38ZLX/rSuPPOO7c4evoK/4oVK4ZQnbcSIECAAAECBAjUVUBwWtfOmhcBAgQIECBAoCYCW7rHaQpEX/nKV8bPfvaz+Od//uf49re/ve5BTw8//HB279Obb745+9273/3u7Gv8O++8c3a/01WrVsW2226bCfVfgVoTLtMgQIAAAQIECBBok4DgtE2QTkOAAAECBAgQINAZga09HOqee+6JiRMnxqJFi+LLX/5yvPrVr86K+MUvfhHPe97zsitUU3ia7oG64ev++++PXXfdVXDamZY5KwECBAgQIECgFgKC01q00SQIECBAgAABAvUV2Fpwmmb9sY99LM4666zYe++9s5A0XUl6ySWXZCHqscceG1/72tc2wUkPlHrZy14mOK3vsjEzAgQIECBAgMCQBQSnQyZ0AgIECBAgQIAAgU4KDBScpqtNx48fn111evHFF8drX/vauPLKK+OYY46J5z//+dlDoB75evGLXxzf//73BaedbJxzEyBAgAABAgQqLiA4rXgDlU+AAAECBAgQqLvAQMFpmv973/veOPvss+PJT35y/O53v4v58+fH4x73uOzhURdddFG88Y1vzJj+/ve/xxlnnBEzZsyIZcuWCU7rvnjMjwABAgQIECAwBAHB6RDwvJUAAQIECBAgQKDzAq0EpykoTVedLl26NGbNmhXHH398vOc974lPfOITWYEpRN19991jzpw58eCDD8bnP//5ePOb3yw47Xz7jECAAAECBAgQqKyA4LSyrVM4AQIECBAgQKAZAq0Ep0niHe94R3zyk5+MAw44IH7zm99E3wfd+NSnPhWf/vSn409/+lPsuOOO8YxnPCOmTp0a//RP/5T9Pr1Wr17dDEizJECAAAECBAgQyCUgOM3F5WACBAgQIECAAAECBAgQIECAAAECBJogIDhtQpfNkQABAgQIECBAgAABAgQIECBAgACBXAKC01xcDiZAgAABAgQIECBAgAABAgQIECBAoAkCgtMmdNkcCRAgQIAAAQIECBAgQIAAAQIECBDIJSA4zcXlYAIECBAgQIAAAQIECBAgQIAAAQIEmiAgOG1Cl82RAAECBAgQIECAAAECBAgQIECAAIFcAoLTXFwOJkCAAAECBAgQIECAAAECBAgQIECgCQKC0yZ02RwJECBAgAABAgQIECBAgAABAgQIEMglIDjNxeVgAgQIECBAgAABAgQIECBAgAABAgSaICA4bUKXzZEAAQIECBAgQIAAAQIECBAgQIAAgVwCgtNcXA4mQIAAAQIECBAgQIAAAQIECBAgQKAJAoLTJnTZHAkQIECAAAECBAgQIECAAAECBAgQyCUgOM3F5WACBAgQIECAAAECBAgQIECAAAECBJogIDhtQpfNkQABAgQIECBAgAABAgQIECBAgACBXAKC01xcDiZAgAABAgQIECBAgAABAgQIECBAoAkCgtMmdNkcCRAgQIAAAQIECBAgQIAAAQIECBDIJSA4zcXlYAIECBAgQIAAAQIECBAgQIAAAQIEmiAgOG1Cl82RAAECBAgQIECAAAECBAgQIECAAIFcAoLTXFwOJkCAAAECBAgQIECAAAECBAgQIECgCQKC0yZ02RwJECBAgAABAgQIECBAgAABAgQIEMglIDjNxeVgAgQIECBAgAABAgQIECBAgAABAgSaICA4bUKXzZEAAQIECBAgQIAAAQIECBAgQIAAgVwCgtNcXA4mQIAAAQIECBAgQIAAAQIECBAgQKAJAoLTJnTZHAkQIECAAAECBAgQIECAAAECBAgQyCUgOM3F5WACBAgQIECAAAECBAgQIECAAAECBJogIDhtQpfNkQABAgQIECBAgAABAgQIECBAgACBXAKC01xcDiZAgAABAgQIECBAgAABAgQIECBAoAkCgtMmdNkcCRAgQIAAAQIECBAgQIAAAQIECBDIJSA4zcXlYAKi7hbSAAADbUlEQVQECBAgQIAAAQIECBAgQIAAAQIEmiAgOG1Cl82RAAECBAgQIECAAAECBAgQIECAAIFcAoLTXFwOJkCAAAECBAgQIECAAAECBAgQIECgCQKC0yZ02RwJECBAgAABAgQIECBAgAABAgQIEMglIDjNxeVgAgQIECBAgAABAgQIECBAgAABAgSaICA4bUKXzZEAAQIECBAgQIAAAQIECBAgQIAAgVwCgtNcXA4mQIAAAQIECBAgQIAAAQIECBAgQKAJAoLTJnTZHAkQIECAAAECBAgQIECAAAECBAgQyCUgOM3F5WACBAgQIECAAAECBAgQIECAAAECBJogIDhtQpfNkQABAgQIECBAgAABAgQIECBAgACBXAKC01xcDiZAgAABAgQIECBAgAABAgQIECBAoAkCgtMmdNkcCRAgQIAAAQIECBAgQIAAAQIECBDIJSA4zcXlYAIECBAgQIAAAQIECBAgQIAAAQIEmiAgOG1Cl82RAAECBAgQIECAAAECBAgQIECAAIFcAoLTXFwOJkCAAAECBAgQIECAAAECBAgQIECgCQKC0yZ02RwJECBAgAABAgQIECBAgAABAgQIEMglIDjNxeVgAgQIECBAgAABAgQIECBAgAABAgSaICA4bUKXzZEAAQIECBAgQIAAAQIECBAgQIAAgVwCgtNcXA4mQIAAAQIECBAgQIAAAQIECBAgQKAJAoLTJnTZHAkQIECAAAECBAgQIECAAAECBAgQyCUgOM3F5WACBAgQIECAAAECBAgQIECAAAECBJogIDhtQpfNkQABAgQIECBAgAABAgQIECBAgACBXAKC01xcDiZAgAABAgQIECBAgAABAgQIECBAoAkCgtMmdNkcCRAgQIAAAQIECBAgQIAAAQIECBDIJSA4zcXlYAIECBAgQIAAAQIECBAgQIAAAQIEmiAgOG1Cl82RAAECBAgQIECAAAECBAgQIECAAIFcAoLTXFwOJkCAAAECBAgQIECAAAECBAgQIECgCQKC0yZ02RwJECBAgAABAgQIECBAgAABAgQIEMglIDjNxeVgAgQIECBAgAABAgQIECBAgAABAgSaICA4bUKXzZEAAQIECBAgQIAAAQIECBAgQIAAgVwCWXCa6x0OJkCAAAECBAgQIECAAAECBAgQIECAQAME/j+U3tGA1R+soQAAAABJRU5ErkJggg==\" 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\" width=\"897.6\">"
       ],
       "text/plain": [
        "<IPython.core.display.HTML object>"
@@ -1859,10 +10480,10 @@
     {
      "data": {
       "text/plain": [
-       "<matplotlib.legend.Legend at 0x7fc712ef9890>"
+       "<matplotlib.legend.Legend at 0x7f71ccebb350>"
       ]
      },
-     "execution_count": 11,
+     "execution_count": 46,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1884,11 +10505,83 @@
     "#### Let's test the hypothesis that the bounding box is being interpreted differently"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "id": "50dd581b",
+   "metadata": {},
+   "source": [
+    "Below cell is mainly copied from Bruno's notebook (https://gist.github.com/BrunoSanchez/79a4ec1d8bb5b4736a7381ad6c730b4a)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 160,
+   "id": "4bd253fb",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def get_ra_dec_corners(wcs, box):\n",
+    "    c1 = wcs.pixelToSky(x=box.beginX, y=box.beginY)\n",
+    "    c2 = wcs.pixelToSky(x=box.beginX, y=box.endY)\n",
+    "    c3 = wcs.pixelToSky(x=box.endX, y=box.beginY)\n",
+    "    c4 = wcs.pixelToSky(x=box.endX, y=box.endY)\n",
+    "    ra1 = c1.getRa().asDegrees()\n",
+    "    dec1 = c1.getDec().asDegrees()\n",
+    "    ra2 = c2.getRa().asDegrees()\n",
+    "    dec2 = c2.getDec().asDegrees()\n",
+    "    ra3 = c3.getRa().asDegrees()\n",
+    "    dec3 = c3.getDec().asDegrees()\n",
+    "    ra4 = c4.getRa().asDegrees()\n",
+    "    dec4 = c4.getDec().asDegrees()\n",
+    "    return np.array([[ra1, ra2, ra3, ra4], [dec1, dec2, dec3, dec4]])\n",
+    "\n",
+    "def get_maxmin_coords(coord):\n",
+    "    return np.min(coord), np.max(coord)\n",
+    "\n",
+    "box = sci.getBBox()\n",
+    "ras, decs = get_ra_dec_corners(wcs, box)\n",
+    "ramin, ramax = get_maxmin_coords(ras)\n",
+    "decmin, decmax = get_maxmin_coords(decs)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "3249d17d",
+   "metadata": {},
+   "source": [
+    "And this is Nima's bounding box extraction method"
+   ]
+  },
   {
    "cell_type": "code",
-   "execution_count": 12,
+   "execution_count": 159,
    "id": "57225bae",
    "metadata": {},
+   "outputs": [],
+   "source": [
+    "\n",
+    "# over-plot the calexp's bounding box.\n",
+    "sci = butler.get('calexp',\n",
+    "                 collections='ap_verify-output',\n",
+    "                 dataId={'instrument': 'LSSTCam-imSim', 'visit': visit, 'detector': detector})\n",
+    "\n",
+    "# Convert the corners of the bounding boxes to sky coordinates.\n",
+    "from lsst.geom import SpherePoint, degrees, Box2D, Extent2D\n",
+    "from lsst import sphgeom\n",
+    "BBox = sci.getBBox()\n",
+    "wcs = sci.getWcs()\n",
+    "LocalBBox = Box2D(BBox)\n",
+    "BoxCorners = LocalBBox.getCorners()\n",
+    "SphCorners = [wcs.pixelToSky(corner).getVector() for corner in BoxCorners]\n",
+    "SkyRegion = sphgeom.ConvexPolygon(SphCorners)\n",
+    "\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 162,
+   "id": "a731fb63",
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -2819,114 +11512,1011 @@
        "        // location in version 2\n",
        "        IPython.keyboard_manager.register_events(el);\n",
        "    }\n",
-       "};\n",
+       "};\n",
+       "\n",
+       "mpl.figure.prototype._key_event_extra = function (event, _name) {\n",
+       "    // Check for shift+enter\n",
+       "    if (event.shiftKey && event.which === 13) {\n",
+       "        this.canvas_div.blur();\n",
+       "        // select the cell after this one\n",
+       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
+       "        IPython.notebook.select(index + 1);\n",
+       "    }\n",
+       "};\n",
+       "\n",
+       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
+       "    fig.ondownload(fig, null);\n",
+       "};\n",
+       "\n",
+       "mpl.find_output_cell = function (html_output) {\n",
+       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
+       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
+       "    // IPython event is triggered only after the cells have been serialised, which for\n",
+       "    // our purposes (turning an active figure into a static one), is too late.\n",
+       "    var cells = IPython.notebook.get_cells();\n",
+       "    var ncells = cells.length;\n",
+       "    for (var i = 0; i < ncells; i++) {\n",
+       "        var cell = cells[i];\n",
+       "        if (cell.cell_type === 'code') {\n",
+       "            for (var j = 0; j < cell.output_area.outputs.length; j++) {\n",
+       "                var data = cell.output_area.outputs[j];\n",
+       "                if (data.data) {\n",
+       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
+       "                    data = data.data;\n",
+       "                }\n",
+       "                if (data['text/html'] === html_output) {\n",
+       "                    return [cell, data, j];\n",
+       "                }\n",
+       "            }\n",
+       "        }\n",
+       "    }\n",
+       "};\n",
+       "\n",
+       "// Register the function which deals with the matplotlib target/channel.\n",
+       "// The kernel may be null if the page has been refreshed.\n",
+       "if (IPython.notebook.kernel !== null) {\n",
+       "    IPython.notebook.kernel.comm_manager.register_target(\n",
+       "        'matplotlib',\n",
+       "        mpl.mpl_figure_comm\n",
+       "    );\n",
+       "}\n"
+      ],
+      "text/plain": [
+       "<IPython.core.display.Javascript object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<img 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\" width=\"754.8000000000001\">"
+      ],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.legend.Legend at 0x7f71cc386e90>"
+      ]
+     },
+     "execution_count": 162,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "plt.figure()\n",
+    "plt.scatter(truth['ra'],truth['dec'],marker='o',s=10, label='Nima\\'s')\n",
+    "plt.scatter(Brunos['ra'],Brunos['dec'],marker='x',s=10, label='Bruno\\'s')\n",
+    "plt.xlabel('Ra')\n",
+    "plt.ylabel('Dec')\n",
+    "\n",
+    "\n",
+    "## plot the sky region by connecting the corners (Nima's method)\n",
+    "for i in range(4):\n",
+    "    plt.plot([SpherePoint(SphCorners[i]).getRa().asDegrees(), SpherePoint(SphCorners[(i+1)%4]).getRa().asDegrees()],\n",
+    "             [SpherePoint(SphCorners[i]).getDec().asDegrees(), SpherePoint(SphCorners[(i+1)%4]).getDec().asDegrees()],\n",
+    "                color='black',\n",
+    "                linewidth=2,\n",
+    "             )\n",
+    "    \n",
+    "## Bruno's box\n",
+    "plt.plot([ramin, ramin, ramax, ramax, ramin],[decmin, decmax, decmax, decmin, decmin],'-.r')\n",
+    "\n",
+    "plt.legend()\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "3367589a",
+   "metadata": {},
+   "source": [
+    "So, the majority of those that are in Bruno's and not in Nima's are the ones that are contained by a straight-up bounding box. But the correct bounding box is tilted. So that explains a major part of the discrepencies."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "9c7ded8e",
+   "metadata": {},
+   "source": [
+    "#### But there are a few discrepancies which are not explained by the wrong bounding box issue. \n",
+    "Let's take a look at them."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "a9204fa6",
+   "metadata": {},
+   "source": [
+    "Some (undocumented) experiments showed that some coordinates, specifically those of the supernovae, in the two dataframes are off by values in the order of 1e-14. \n",
+    "This could be potentially an important matter worth investigating in other cases. But here since we know the two tables come from the same source, and since we are only interested in finding correspondences, it is safe to ignore the precision issue."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 80,
+   "id": "39bda146",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Round the floating point values in columns on which we want to run the matching.\n",
+    "\n",
+    "truth.loc[:,'ra'] = truth['ra'].round(10)\n",
+    "truth.loc[:,'dec'] = truth['dec'].round(10)\n",
+    "Brunos.loc[:,'ra'] = Brunos['ra'].round(10)\n",
+    "Brunos.loc[:,'dec'] = Brunos['dec'].round(10)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 136,
+   "id": "a217a685",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Let's also convert all ids to string\n",
+    "truth.loc[:,'id'] = truth['id'].astype(str)\n",
+    "Brunos.loc[:,'id'] = Brunos['id'].astype(str)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 137,
+   "id": "be704b32",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>id_x</th>\n",
+       "      <th>host_galaxy_x</th>\n",
+       "      <th>ra</th>\n",
+       "      <th>dec</th>\n",
+       "      <th>redshift_x</th>\n",
+       "      <th>is_variable_x</th>\n",
+       "      <th>is_pointsource_x</th>\n",
+       "      <th>flux_u_x</th>\n",
+       "      <th>flux_g_x</th>\n",
+       "      <th>flux_r_x</th>\n",
+       "      <th>flux_i_x</th>\n",
+       "      <th>flux_z_x</th>\n",
+       "      <th>flux_y_x</th>\n",
+       "      <th>flux_u_noMW</th>\n",
+       "      <th>flux_g_noMW</th>\n",
+       "      <th>flux_r_noMW</th>\n",
+       "      <th>flux_i_noMW</th>\n",
+       "      <th>flux_z_noMW</th>\n",
+       "      <th>flux_y_noMW</th>\n",
+       "      <th>tract</th>\n",
+       "      <th>patch</th>\n",
+       "      <th>truth_type</th>\n",
+       "      <th>cosmodc2_hp</th>\n",
+       "      <th>cosmodc2_id</th>\n",
+       "      <th>mag_r</th>\n",
+       "      <th>match_objectId</th>\n",
+       "      <th>match_sep</th>\n",
+       "      <th>is_good_match</th>\n",
+       "      <th>is_nearest_neighbor</th>\n",
+       "      <th>is_unique_truth_entry</th>\n",
+       "      <th>obsHistID</th>\n",
+       "      <th>MJD</th>\n",
+       "      <th>bandpass_x</th>\n",
+       "      <th>delta_flux_x</th>\n",
+       "      <th>x</th>\n",
+       "      <th>y</th>\n",
+       "      <th>mask</th>\n",
+       "      <th>id_y</th>\n",
+       "      <th>host_galaxy_y</th>\n",
+       "      <th>redshift_y</th>\n",
+       "      <th>obshistid</th>\n",
+       "      <th>mjd</th>\n",
+       "      <th>bandpass_y</th>\n",
+       "      <th>delta_flux_y</th>\n",
+       "      <th>visit</th>\n",
+       "      <th>detector</th>\n",
+       "      <th>x_image</th>\n",
+       "      <th>y_image</th>\n",
+       "      <th>in_ccd</th>\n",
+       "      <th>flux</th>\n",
+       "      <th>transient_type</th>\n",
+       "      <th>flux_u_y</th>\n",
+       "      <th>flux_g_y</th>\n",
+       "      <th>flux_r_y</th>\n",
+       "      <th>flux_i_y</th>\n",
+       "      <th>flux_z_y</th>\n",
+       "      <th>flux_y_y</th>\n",
+       "      <th>is_pointsource_y</th>\n",
+       "      <th>is_variable_y</th>\n",
+       "      <th>_merge</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>52</th>\n",
+       "      <td>31500330101</td>\n",
+       "      <td>-1.0</td>\n",
+       "      <td>55.964263</td>\n",
+       "      <td>-32.247593</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>57.024666</td>\n",
+       "      <td>467.464417</td>\n",
+       "      <td>1437.125122</td>\n",
+       "      <td>2450.700684</td>\n",
+       "      <td>3185.864258</td>\n",
+       "      <td>3683.08252</td>\n",
+       "      <td>59.096527</td>\n",
+       "      <td>480.001984</td>\n",
+       "      <td>1466.343628</td>\n",
+       "      <td>2488.901855</td>\n",
+       "      <td>3224.105957</td>\n",
+       "      <td>3719.749512</td>\n",
+       "      <td>4431.0</td>\n",
+       "      <td>16.0</td>\n",
+       "      <td>2.0</td>\n",
+       "      <td>-1.0</td>\n",
+       "      <td>-1.0</td>\n",
+       "      <td>23.506264</td>\n",
+       "      <td>1.948803e+16</td>\n",
+       "      <td>0.005336</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>982985.0</td>\n",
+       "      <td>61028.122882</td>\n",
+       "      <td>r</td>\n",
+       "      <td>55.154003</td>\n",
+       "      <td>4009.339917</td>\n",
+       "      <td>5.601601</td>\n",
+       "      <td>48.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>left_only</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>70</th>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>55.732586</td>\n",
+       "      <td>-32.444870</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>30830343662</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>982985.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>r</td>\n",
+       "      <td>-143.654370</td>\n",
+       "      <td>982985.0</td>\n",
+       "      <td>164.0</td>\n",
+       "      <td>901.616919</td>\n",
+       "      <td>3913.964822</td>\n",
+       "      <td>True</td>\n",
+       "      <td>2.033266e+06</td>\n",
+       "      <td>VariableStar</td>\n",
+       "      <td>218038.0</td>\n",
+       "      <td>1098920.0</td>\n",
+       "      <td>2033410.0</td>\n",
+       "      <td>2547450.0</td>\n",
+       "      <td>2770580.0</td>\n",
+       "      <td>2931950.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>right_only</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>78</th>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>55.790356</td>\n",
+       "      <td>-32.270034</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>30321355767</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>982985.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>r</td>\n",
+       "      <td>-7207.912209</td>\n",
+       "      <td>982985.0</td>\n",
+       "      <td>164.0</td>\n",
+       "      <td>1425.112941</td>\n",
+       "      <td>687.183875</td>\n",
+       "      <td>True</td>\n",
+       "      <td>2.034032e+06</td>\n",
+       "      <td>VariableStar</td>\n",
+       "      <td>287183.0</td>\n",
+       "      <td>1214020.0</td>\n",
+       "      <td>2041240.0</td>\n",
+       "      <td>2452630.0</td>\n",
+       "      <td>2620000.0</td>\n",
+       "      <td>2732900.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>right_only</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>79</th>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>55.792213</td>\n",
+       "      <td>-32.292349</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>30830343259</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>982985.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>r</td>\n",
+       "      <td>-1869.438283</td>\n",
+       "      <td>982985.0</td>\n",
+       "      <td>164.0</td>\n",
+       "      <td>1497.736883</td>\n",
+       "      <td>1083.393236</td>\n",
+       "      <td>True</td>\n",
+       "      <td>5.412531e+06</td>\n",
+       "      <td>VariableStar</td>\n",
+       "      <td>1102550.0</td>\n",
+       "      <td>3529840.0</td>\n",
+       "      <td>5414400.0</td>\n",
+       "      <td>6344200.0</td>\n",
+       "      <td>6723090.0</td>\n",
+       "      <td>6918610.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>right_only</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "           id_x  host_galaxy_x         ra        dec  redshift_x  \\\n",
+       "52  31500330101           -1.0  55.964263 -32.247593         0.0   \n",
+       "70          NaN            NaN  55.732586 -32.444870         NaN   \n",
+       "78          NaN            NaN  55.790356 -32.270034         NaN   \n",
+       "79          NaN            NaN  55.792213 -32.292349         NaN   \n",
+       "\n",
+       "    is_variable_x  is_pointsource_x   flux_u_x    flux_g_x     flux_r_x  \\\n",
+       "52            1.0               1.0  57.024666  467.464417  1437.125122   \n",
+       "70            NaN               NaN        NaN         NaN          NaN   \n",
+       "78            NaN               NaN        NaN         NaN          NaN   \n",
+       "79            NaN               NaN        NaN         NaN          NaN   \n",
+       "\n",
+       "       flux_i_x     flux_z_x    flux_y_x  flux_u_noMW  flux_g_noMW  \\\n",
+       "52  2450.700684  3185.864258  3683.08252    59.096527   480.001984   \n",
+       "70          NaN          NaN         NaN          NaN          NaN   \n",
+       "78          NaN          NaN         NaN          NaN          NaN   \n",
+       "79          NaN          NaN         NaN          NaN          NaN   \n",
+       "\n",
+       "    flux_r_noMW  flux_i_noMW  flux_z_noMW  flux_y_noMW   tract  patch  \\\n",
+       "52  1466.343628  2488.901855  3224.105957  3719.749512  4431.0   16.0   \n",
+       "70          NaN          NaN          NaN          NaN     NaN    NaN   \n",
+       "78          NaN          NaN          NaN          NaN     NaN    NaN   \n",
+       "79          NaN          NaN          NaN          NaN     NaN    NaN   \n",
+       "\n",
+       "    truth_type  cosmodc2_hp  cosmodc2_id      mag_r  match_objectId  \\\n",
+       "52         2.0         -1.0         -1.0  23.506264    1.948803e+16   \n",
+       "70         NaN          NaN          NaN        NaN             NaN   \n",
+       "78         NaN          NaN          NaN        NaN             NaN   \n",
+       "79         NaN          NaN          NaN        NaN             NaN   \n",
+       "\n",
+       "    match_sep is_good_match is_nearest_neighbor is_unique_truth_entry  \\\n",
+       "52   0.005336          True                True                  True   \n",
+       "70        NaN           NaN                 NaN                   NaN   \n",
+       "78        NaN           NaN                 NaN                   NaN   \n",
+       "79        NaN           NaN                 NaN                   NaN   \n",
+       "\n",
+       "    obsHistID           MJD bandpass_x  delta_flux_x            x         y  \\\n",
+       "52   982985.0  61028.122882          r     55.154003  4009.339917  5.601601   \n",
+       "70        NaN           NaN        NaN           NaN          NaN       NaN   \n",
+       "78        NaN           NaN        NaN           NaN          NaN       NaN   \n",
+       "79        NaN           NaN        NaN           NaN          NaN       NaN   \n",
+       "\n",
+       "    mask         id_y  host_galaxy_y  redshift_y  obshistid  mjd bandpass_y  \\\n",
+       "52  48.0          NaN            NaN         NaN        NaN  NaN        NaN   \n",
+       "70   NaN  30830343662            NaN         0.0   982985.0  NaN          r   \n",
+       "78   NaN  30321355767            NaN         0.0   982985.0  NaN          r   \n",
+       "79   NaN  30830343259            NaN         0.0   982985.0  NaN          r   \n",
+       "\n",
+       "    delta_flux_y     visit  detector      x_image      y_image in_ccd  \\\n",
+       "52           NaN       NaN       NaN          NaN          NaN    NaN   \n",
+       "70   -143.654370  982985.0     164.0   901.616919  3913.964822   True   \n",
+       "78  -7207.912209  982985.0     164.0  1425.112941   687.183875   True   \n",
+       "79  -1869.438283  982985.0     164.0  1497.736883  1083.393236   True   \n",
+       "\n",
+       "            flux transient_type   flux_u_y   flux_g_y   flux_r_y   flux_i_y  \\\n",
+       "52           NaN            NaN        NaN        NaN        NaN        NaN   \n",
+       "70  2.033266e+06   VariableStar   218038.0  1098920.0  2033410.0  2547450.0   \n",
+       "78  2.034032e+06   VariableStar   287183.0  1214020.0  2041240.0  2452630.0   \n",
+       "79  5.412531e+06   VariableStar  1102550.0  3529840.0  5414400.0  6344200.0   \n",
+       "\n",
+       "     flux_z_y   flux_y_y  is_pointsource_y  is_variable_y      _merge  \n",
+       "52        NaN        NaN               NaN            NaN   left_only  \n",
+       "70  2770580.0  2931950.0               1.0            1.0  right_only  \n",
+       "78  2620000.0  2732900.0               1.0            1.0  right_only  \n",
+       "79  6723090.0  6918610.0               1.0            1.0  right_only  "
+      ]
+     },
+     "execution_count": 137,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "r = truth.merge(Brunos, on=['ra','dec'],how='outer', indicator=True)\n",
+    "\n",
+    "mismatches = r[(r['_merge'] != 'both')]\n",
+    "mismatch_coords = sci.getWcs().skyToPixelArray(ra=mismatches['ra'],dec=mismatches['dec'],degrees=True)\n",
+    "\n",
+    "INdices = LocalBBox.contains(mismatch_coords[0], mismatch_coords[1])\n",
+    "in_mismatches = mismatches[INdices]\n",
+    "in_mismatches\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "9472e229",
+   "metadata": {},
+   "source": [
+    "The first row exists only in Nima's, while the last three are only in Bruno's.\n",
+    "Let's start with the latter. Let's see how many of them have been in Nima's before filtering based on masks:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 144,
+   "id": "bdb7f648",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
        "\n",
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-       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
-       "        IPython.notebook.select(index + 1);\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
        "    }\n",
-       "};\n",
-       "\n",
-       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
-       "    fig.ondownload(fig, null);\n",
-       "};\n",
        "\n",
-       "mpl.find_output_cell = function (html_output) {\n",
-       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
-       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
-       "    // IPython event is triggered only after the cells have been serialised, which for\n",
-       "    // our purposes (turning an active figure into a static one), is too late.\n",
-       "    var cells = IPython.notebook.get_cells();\n",
-       "    var ncells = cells.length;\n",
-       "    for (var i = 0; i < ncells; i++) {\n",
-       "        var cell = cells[i];\n",
-       "        if (cell.cell_type === 'code') {\n",
-       "            for (var j = 0; j < cell.output_area.outputs.length; j++) {\n",
-       "                var data = cell.output_area.outputs[j];\n",
-       "                if (data.data) {\n",
-       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
-       "                    data = data.data;\n",
-       "                }\n",
-       "                if (data['text/html'] === html_output) {\n",
-       "                    return [cell, data, j];\n",
-       "                }\n",
-       "            }\n",
-       "        }\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
        "    }\n",
-       "};\n",
-       "\n",
-       "// Register the function which deals with the matplotlib target/channel.\n",
-       "// The kernel may be null if the page has been refreshed.\n",
-       "if (IPython.notebook.kernel !== null) {\n",
-       "    IPython.notebook.kernel.comm_manager.register_target(\n",
-       "        'matplotlib',\n",
-       "        mpl.mpl_figure_comm\n",
-       "    );\n",
-       "}\n"
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>id</th>\n",
+       "      <th>host_galaxy</th>\n",
+       "      <th>ra</th>\n",
+       "      <th>dec</th>\n",
+       "      <th>redshift</th>\n",
+       "      <th>is_variable</th>\n",
+       "      <th>is_pointsource</th>\n",
+       "      <th>flux_u</th>\n",
+       "      <th>flux_g</th>\n",
+       "      <th>flux_r</th>\n",
+       "      <th>flux_i</th>\n",
+       "      <th>flux_z</th>\n",
+       "      <th>flux_y</th>\n",
+       "      <th>flux_u_noMW</th>\n",
+       "      <th>flux_g_noMW</th>\n",
+       "      <th>flux_r_noMW</th>\n",
+       "      <th>flux_i_noMW</th>\n",
+       "      <th>flux_z_noMW</th>\n",
+       "      <th>flux_y_noMW</th>\n",
+       "      <th>tract</th>\n",
+       "      <th>patch</th>\n",
+       "      <th>truth_type</th>\n",
+       "      <th>cosmodc2_hp</th>\n",
+       "      <th>cosmodc2_id</th>\n",
+       "      <th>mag_r</th>\n",
+       "      <th>match_objectId</th>\n",
+       "      <th>match_sep</th>\n",
+       "      <th>is_good_match</th>\n",
+       "      <th>is_nearest_neighbor</th>\n",
+       "      <th>is_unique_truth_entry</th>\n",
+       "      <th>obsHistID</th>\n",
+       "      <th>MJD</th>\n",
+       "      <th>bandpass</th>\n",
+       "      <th>delta_flux</th>\n",
+       "      <th>x</th>\n",
+       "      <th>y</th>\n",
+       "      <th>mask</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>12</th>\n",
+       "      <td>30830343662</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>55.732586</td>\n",
+       "      <td>-32.444870</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2.180379e+05</td>\n",
+       "      <td>1098918.875</td>\n",
+       "      <td>2033413.25</td>\n",
+       "      <td>2547453.25</td>\n",
+       "      <td>2770576.75</td>\n",
+       "      <td>2931952.00</td>\n",
+       "      <td>2.266201e+05</td>\n",
+       "      <td>1131411.125</td>\n",
+       "      <td>2078435.875</td>\n",
+       "      <td>2590536.5</td>\n",
+       "      <td>2806513.0</td>\n",
+       "      <td>2963476.25</td>\n",
+       "      <td>4431</td>\n",
+       "      <td>10</td>\n",
+       "      <td>2</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>15.629436</td>\n",
+       "      <td>19488160702564816</td>\n",
+       "      <td>0.000737</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>61028.122882</td>\n",
+       "      <td>r</td>\n",
+       "      <td>-143.654373</td>\n",
+       "      <td>888.493542</td>\n",
+       "      <td>3922.530093</td>\n",
+       "      <td>38</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>60</th>\n",
+       "      <td>30321355767</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>55.790356</td>\n",
+       "      <td>-32.270034</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2.871828e+05</td>\n",
+       "      <td>1214024.125</td>\n",
+       "      <td>2041236.25</td>\n",
+       "      <td>2452630.25</td>\n",
+       "      <td>2620003.75</td>\n",
+       "      <td>2732898.75</td>\n",
+       "      <td>2.977700e+05</td>\n",
+       "      <td>1247870.875</td>\n",
+       "      <td>2083679.875</td>\n",
+       "      <td>2491568.0</td>\n",
+       "      <td>2651890.0</td>\n",
+       "      <td>2760472.00</td>\n",
+       "      <td>4431</td>\n",
+       "      <td>16</td>\n",
+       "      <td>2</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>15.625267</td>\n",
+       "      <td>19488027558572839</td>\n",
+       "      <td>0.000794</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>61028.122882</td>\n",
+       "      <td>r</td>\n",
+       "      <td>-7207.912109</td>\n",
+       "      <td>1420.476664</td>\n",
+       "      <td>694.186112</td>\n",
+       "      <td>38</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>63</th>\n",
+       "      <td>30830343259</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>55.792213</td>\n",
+       "      <td>-32.292349</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1.102547e+06</td>\n",
+       "      <td>3529843.500</td>\n",
+       "      <td>5414399.00</td>\n",
+       "      <td>6344195.00</td>\n",
+       "      <td>6723090.00</td>\n",
+       "      <td>6918612.00</td>\n",
+       "      <td>1.143250e+06</td>\n",
+       "      <td>3629018.750</td>\n",
+       "      <td>5527253.500</td>\n",
+       "      <td>6445109.5</td>\n",
+       "      <td>6805055.5</td>\n",
+       "      <td>6988529.50</td>\n",
+       "      <td>4431</td>\n",
+       "      <td>16</td>\n",
+       "      <td>2</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>14.566125</td>\n",
+       "      <td>19488027558570141</td>\n",
+       "      <td>0.178786</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>61028.122882</td>\n",
+       "      <td>r</td>\n",
+       "      <td>-1869.438232</td>\n",
+       "      <td>1492.115946</td>\n",
+       "      <td>1090.779960</td>\n",
+       "      <td>38</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>64</th>\n",
+       "      <td>30830343259</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>55.792213</td>\n",
+       "      <td>-32.292349</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1.102547e+06</td>\n",
+       "      <td>3529843.500</td>\n",
+       "      <td>5414399.00</td>\n",
+       "      <td>6344195.00</td>\n",
+       "      <td>6723090.00</td>\n",
+       "      <td>6918612.00</td>\n",
+       "      <td>1.143250e+06</td>\n",
+       "      <td>3629018.750</td>\n",
+       "      <td>5527253.500</td>\n",
+       "      <td>6445109.5</td>\n",
+       "      <td>6805055.5</td>\n",
+       "      <td>6988529.50</td>\n",
+       "      <td>4431</td>\n",
+       "      <td>16</td>\n",
+       "      <td>2</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>14.566125</td>\n",
+       "      <td>19488027558570142</td>\n",
+       "      <td>0.261833</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>61028.122882</td>\n",
+       "      <td>r</td>\n",
+       "      <td>-1869.438232</td>\n",
+       "      <td>1492.115946</td>\n",
+       "      <td>1090.779960</td>\n",
+       "      <td>38</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>65</th>\n",
+       "      <td>30830343259</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>55.792213</td>\n",
+       "      <td>-32.292349</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1.102547e+06</td>\n",
+       "      <td>3529843.500</td>\n",
+       "      <td>5414399.00</td>\n",
+       "      <td>6344195.00</td>\n",
+       "      <td>6723090.00</td>\n",
+       "      <td>6918612.00</td>\n",
+       "      <td>1.143250e+06</td>\n",
+       "      <td>3629018.750</td>\n",
+       "      <td>5527253.500</td>\n",
+       "      <td>6445109.5</td>\n",
+       "      <td>6805055.5</td>\n",
+       "      <td>6988529.50</td>\n",
+       "      <td>4431</td>\n",
+       "      <td>16</td>\n",
+       "      <td>2</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>14.566125</td>\n",
+       "      <td>19488027558570143</td>\n",
+       "      <td>0.494081</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>982985</td>\n",
+       "      <td>61028.122882</td>\n",
+       "      <td>r</td>\n",
+       "      <td>-1869.438232</td>\n",
+       "      <td>1492.115946</td>\n",
+       "      <td>1090.779960</td>\n",
+       "      <td>38</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
       ],
       "text/plain": [
-       "<IPython.core.display.Javascript object>"
+       "             id  host_galaxy         ra        dec  redshift  is_variable  \\\n",
+       "12  30830343662           -1  55.732586 -32.444870       0.0            1   \n",
+       "60  30321355767           -1  55.790356 -32.270034       0.0            1   \n",
+       "63  30830343259           -1  55.792213 -32.292349       0.0            1   \n",
+       "64  30830343259           -1  55.792213 -32.292349       0.0            1   \n",
+       "65  30830343259           -1  55.792213 -32.292349       0.0            1   \n",
+       "\n",
+       "    is_pointsource        flux_u       flux_g      flux_r      flux_i  \\\n",
+       "12               1  2.180379e+05  1098918.875  2033413.25  2547453.25   \n",
+       "60               1  2.871828e+05  1214024.125  2041236.25  2452630.25   \n",
+       "63               1  1.102547e+06  3529843.500  5414399.00  6344195.00   \n",
+       "64               1  1.102547e+06  3529843.500  5414399.00  6344195.00   \n",
+       "65               1  1.102547e+06  3529843.500  5414399.00  6344195.00   \n",
+       "\n",
+       "        flux_z      flux_y   flux_u_noMW  flux_g_noMW  flux_r_noMW  \\\n",
+       "12  2770576.75  2931952.00  2.266201e+05  1131411.125  2078435.875   \n",
+       "60  2620003.75  2732898.75  2.977700e+05  1247870.875  2083679.875   \n",
+       "63  6723090.00  6918612.00  1.143250e+06  3629018.750  5527253.500   \n",
+       "64  6723090.00  6918612.00  1.143250e+06  3629018.750  5527253.500   \n",
+       "65  6723090.00  6918612.00  1.143250e+06  3629018.750  5527253.500   \n",
+       "\n",
+       "    flux_i_noMW  flux_z_noMW  flux_y_noMW  tract  patch  truth_type  \\\n",
+       "12    2590536.5    2806513.0   2963476.25   4431     10           2   \n",
+       "60    2491568.0    2651890.0   2760472.00   4431     16           2   \n",
+       "63    6445109.5    6805055.5   6988529.50   4431     16           2   \n",
+       "64    6445109.5    6805055.5   6988529.50   4431     16           2   \n",
+       "65    6445109.5    6805055.5   6988529.50   4431     16           2   \n",
+       "\n",
+       "    cosmodc2_hp  cosmodc2_id      mag_r     match_objectId  match_sep  \\\n",
+       "12           -1           -1  15.629436  19488160702564816   0.000737   \n",
+       "60           -1           -1  15.625267  19488027558572839   0.000794   \n",
+       "63           -1           -1  14.566125  19488027558570141   0.178786   \n",
+       "64           -1           -1  14.566125  19488027558570142   0.261833   \n",
+       "65           -1           -1  14.566125  19488027558570143   0.494081   \n",
+       "\n",
+       "    is_good_match  is_nearest_neighbor  is_unique_truth_entry  obsHistID  \\\n",
+       "12          False                 True                   True     982985   \n",
+       "60          False                 True                   True     982985   \n",
+       "63          False                 True                   True     982985   \n",
+       "64          False                 True                  False     982985   \n",
+       "65          False                 True                  False     982985   \n",
+       "\n",
+       "             MJD bandpass   delta_flux            x            y  mask  \n",
+       "12  61028.122882        r  -143.654373   888.493542  3922.530093    38  \n",
+       "60  61028.122882        r -7207.912109  1420.476664   694.186112    38  \n",
+       "63  61028.122882        r -1869.438232  1492.115946  1090.779960    38  \n",
+       "64  61028.122882        r -1869.438232  1492.115946  1090.779960    38  \n",
+       "65  61028.122882        r -1869.438232  1492.115946  1090.779960    38  "
       ]
      },
+     "execution_count": 144,
      "metadata": {},
-     "output_type": "display_data"
-    },
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "truth_all[truth_all.id.isin(in_mismatches.iloc[1:].id_y)]"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "cfc1a135",
+   "metadata": {},
+   "source": [
+    "Great! They all have been in the initial table, but are dropped for some reason. Let's find the reason:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 145,
+   "id": "7f6a71aa",
+   "metadata": {},
+   "outputs": [
     {
      "data": {
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\" width=\"879.3666666666667\">"
-      ],
       "text/plain": [
-       "<IPython.core.display.HTML object>"
+       "12    38\n",
+       "60    38\n",
+       "63    38\n",
+       "64    38\n",
+       "65    38\n",
+       "Name: mask, dtype: int32"
       ]
      },
+     "execution_count": 145,
      "metadata": {},
-     "output_type": "display_data"
+     "output_type": "execute_result"
     }
    ],
    "source": [
-    "plt.figure()\n",
-    "plt.scatter(truth['ra'],truth['dec'],marker='o',s=10, label='Nima\\'s')\n",
-    "plt.scatter(Brunos['ra'],Brunos['dec'],marker='x',s=10, label='Bruno\\'s')\n",
-    "plt.xlabel('Ra')\n",
-    "plt.ylabel('Dec')\n",
-    "plt.legend()\n",
-    "\n",
-    "# over-plot the calexp's bounding box.\n",
-    "sci = butler.get('calexp',\n",
-    "                 collections='ap_verify-output',\n",
-    "                 dataId={'instrument': 'LSSTCam-imSim', 'visit': visit, 'detector': detector})\n",
-    "\n",
-    "# Convert the corners of the bounding boxes to sky coordinates.\n",
-    "from lsst.geom import SpherePoint, degrees, Box2D, Extent2D\n",
-    "from lsst import sphgeom\n",
-    "BBox = sci.getBBox()\n",
-    "wcs = sci.getWcs()\n",
-    "LocalBBox = Box2D(BBox)\n",
-    "BoxCorners = LocalBBox.getCorners()\n",
-    "SphCorners = [wcs.pixelToSky(corner).getVector() for corner in BoxCorners]\n",
-    "SkyRegion = sphgeom.ConvexPolygon(SphCorners)\n",
-    "\n",
-    "## plot the sky region by connecting the corners\n",
-    "for i in range(4):\n",
-    "    plt.plot([SpherePoint(SphCorners[i]).getRa().asDegrees(), SpherePoint(SphCorners[(i+1)%4]).getRa().asDegrees()],\n",
-    "             [SpherePoint(SphCorners[i]).getDec().asDegrees(), SpherePoint(SphCorners[(i+1)%4]).getDec().asDegrees()],\n",
-    "                color='black',\n",
-    "                linewidth=2,\n",
-    "             )\n"
+    "truth_all[truth_all.id.isin(in_mismatches.iloc[1:].id_y)]['mask']"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "id": "eb500a15",
+   "execution_count": 147,
+   "id": "910bf799",
    "metadata": {},
-   "outputs": [],
-   "source": []
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "{'BAD': 0,\n",
+       " 'CR': 3,\n",
+       " 'CROSSTALK': 9,\n",
+       " 'DETECTED': 5,\n",
+       " 'DETECTED_NEGATIVE': 6,\n",
+       " 'EDGE': 4,\n",
+       " 'INTRP': 2,\n",
+       " 'NOT_DEBLENDED': 10,\n",
+       " 'NO_DATA': 8,\n",
+       " 'SAT': 1,\n",
+       " 'SUSPECT': 7,\n",
+       " 'UNMASKEDNAN': 11}"
+      ]
+     },
+     "execution_count": 147,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "sci.getMask().getMaskPlaneDict()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "cfe5dbde",
+   "metadata": {},
+   "source": [
+    "### So they are all marked as SAT | INTRP -- hence dropped in Nima's by definition."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "61addb0f",
+   "metadata": {},
+   "source": [
+    "The only one that remains is the first object."
+   ]
   }
  ],
  "metadata": {