diff --git a/notebook/fink_fat_experiments/kbo_neo_issue.conf b/notebook/fink_fat_experiments/kbo_neo_issue.conf
new file mode 100644
index 00000000..68b36e50
--- /dev/null
+++ b/notebook/fink_fat_experiments/kbo_neo_issue.conf
@@ -0,0 +1,49 @@
+[TW_PARAMS]
+trajectory_keep_limit=15
+old_observation_keep_limit=2
+trajectory_2_points_keep_limit=8
+
+
+[ASSOC_PARAMS]
+intra_night_separation=145
+intra_night_magdiff_limit_same_fid=0.2
+intra_night_magdiff_limit_diff_fid=0.8
+inter_night_separation=0.3
+inter_night_magdiff_limit_same_fid=0.1
+inter_night_magdiff_limit_diff_fid=0.5
+maximum_angle=1
+use_dbscan=false
+
+
+[ASSOC_PERF]
+store_kd_tree=false
+
+[SOLVE_ORBIT_PARAMS]
+n_triplets=30
+noise_ntrials=20
+prop_epoch=None
+orbfit_verbose=3
+
+orbfit_limit=6
+cpu_count=8
+ram_dir=/media/virtuelram
+manager=
+principal=
+secret=
+role=
+exec_env='/home/roman.le-montagner'
+driver_memory=6
+executor_memory=8
+max_core=100
+executor_core=4
+orbfit_path=/opt/OrbitFit
+
+
+[ASSOC_SYSTEM]
+tracklets_with_trajectories=true
+trajectories_with_new_observations=true
+tracklets_with_old_observations=true
+new_observations_with_old_observations=true
+
+[OUTPUT]
+association_output_file=kbo_neo_issue_ff_output
diff --git a/notebook/parameters_selection/kbo_neo_issue.ipynb b/notebook/parameters_selection/kbo_neo_issue.ipynb
new file mode 100644
index 00000000..b6cc96f4
--- /dev/null
+++ b/notebook/parameters_selection/kbo_neo_issue.ipynb
@@ -0,0 +1,3053 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "%reload_ext autoreload\n",
+    "%autoreload 2"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 40,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import exploring_script as es\n",
+    "import importlib\n",
+    "importlib.reload(es)\n",
+    "import pandas as pd\n",
+    "import numpy as np\n",
+    "import glob\n",
+    "import matplotlib.pyplot as plt\n",
+    "\n",
+    "\n",
+    "from astropy.time import Time\n",
+    "from astropy.coordinates import SkyCoord"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "confirmed_sso = es.load_data(columns=[\"ssnamenr\", \"jd\", \"nid\", \"ra\", \"dec\", \"magpsf\", \"sigmapsf\"])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "rocks_names = pd.read_parquet(\"data/rocks_fink.parquet\")\n",
+    "mpc_database = pd.read_parquet(\n",
+    "    \"../data/MPC_Database/mpcorb_extended.parquet\",\n",
+    "    columns=[\"Number\", \"Name\", \"Principal_desig\", \"Other_desigs\", \"a\", \"e\", \"i\", \"Node\", \"Peri\", \"M\", \"Epoch\", \"Orbit_type\"]\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "start_jd = Time(\"2020-09-01\").jd\n",
+    "end_jd = Time(\"2020-10-01\").jd"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "exp_paper_data = confirmed_sso[(confirmed_sso[\"jd\"] > start_jd) & (confirmed_sso[\"jd\"] < end_jd)]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "mpc_in_fink, fink_not_in_mpc = es.mpc_crossmatch(mpc_database, pd.Series(exp_paper_data[\"ssnamenr\"].unique()))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "orbfit_limit_point=6\n",
+    "tw=15\n",
+    "\n",
+    "\n",
+    "is_detectable = (\n",
+    "        exp_paper_data.sort_values(\"jd\")\n",
+    "        .groupby(\"ssnamenr\")\n",
+    "        .agg(nb_det=(\"ra\", len), is_in_tw=(\"jd\", lambda x: np.all(np.diff(x) <= tw)))\n",
+    "        .reset_index()\n",
+    "    )"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "exp_paper_data = exp_paper_data.merge(is_detectable, on=\"ssnamenr\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "exp_paper_data_detectable = exp_paper_data[(exp_paper_data[\"nb_det\"] >= orbfit_limit_point) & (exp_paper_data[\"is_in_tw\"])]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "mpc_in_detectable, detectable_not_in_mpc = es.mpc_crossmatch(mpc_database, pd.Series(exp_paper_data_detectable[\"ssnamenr\"].unique()))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "MBA                                           80594\n",
+       "Jupiter Trojan                                 2065\n",
+       "Hungaria                                       1596\n",
+       "Phocaea                                        1127\n",
+       "Object with perihelion distance < 1.665 AU      695\n",
+       "Hilda                                           349\n",
+       "Amor                                            111\n",
+       "Apollo                                           87\n",
+       "Distant Object                                   29\n",
+       "Aten                                             13\n",
+       "Name: Orbit_type, dtype: int64"
+      ]
+     },
+     "execution_count": 12,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "mpc_in_fink[\"Orbit_type\"].value_counts()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "MBA                                           42237\n",
+       "Jupiter Trojan                                 1058\n",
+       "Hungaria                                        788\n",
+       "Phocaea                                         635\n",
+       "Object with perihelion distance < 1.665 AU      407\n",
+       "Hilda                                           189\n",
+       "Amor                                             53\n",
+       "Apollo                                           49\n",
+       "Distant Object                                   12\n",
+       "Aten                                              5\n",
+       "Name: Orbit_type, dtype: int64"
+      ]
+     },
+     "execution_count": 13,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "mpc_in_detectable[\"Orbit_type\"].value_counts()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Number</th>\n",
+       "      <th>Name</th>\n",
+       "      <th>Principal_desig</th>\n",
+       "      <th>Other_desigs</th>\n",
+       "      <th>a</th>\n",
+       "      <th>e</th>\n",
+       "      <th>i</th>\n",
+       "      <th>Node</th>\n",
+       "      <th>Peri</th>\n",
+       "      <th>M</th>\n",
+       "      <th>Epoch</th>\n",
+       "      <th>Orbit_type</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>33</th>\n",
+       "      <td>(34)</td>\n",
+       "      <td>Circe</td>\n",
+       "      <td>A855 GA</td>\n",
+       "      <td>1965 JL</td>\n",
+       "      <td>2.686888</td>\n",
+       "      <td>0.106587</td>\n",
+       "      <td>5.49740</td>\n",
+       "      <td>184.33198</td>\n",
+       "      <td>330.04966</td>\n",
+       "      <td>80.66508</td>\n",
+       "      <td>2460000.5</td>\n",
+       "      <td>MBA</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>44</th>\n",
+       "      <td>(45)</td>\n",
+       "      <td>Eugenia</td>\n",
+       "      <td>A857 MA</td>\n",
+       "      <td>1941 BN</td>\n",
+       "      <td>2.720880</td>\n",
+       "      <td>0.083354</td>\n",
+       "      <td>6.60508</td>\n",
+       "      <td>147.59158</td>\n",
+       "      <td>87.54349</td>\n",
+       "      <td>346.55692</td>\n",
+       "      <td>2460000.5</td>\n",
+       "      <td>MBA</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>50</th>\n",
+       "      <td>(51)</td>\n",
+       "      <td>Nemausa</td>\n",
+       "      <td>A858 BA</td>\n",
+       "      <td>1949 HC1</td>\n",
+       "      <td>2.364919</td>\n",
+       "      <td>0.067404</td>\n",
+       "      <td>9.97939</td>\n",
+       "      <td>175.95499</td>\n",
+       "      <td>1.69084</td>\n",
+       "      <td>116.27059</td>\n",
+       "      <td>2460000.5</td>\n",
+       "      <td>MBA</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>61</th>\n",
+       "      <td>(62)</td>\n",
+       "      <td>Erato</td>\n",
+       "      <td>A860 RD</td>\n",
+       "      <td>A906 BE</td>\n",
+       "      <td>3.130603</td>\n",
+       "      <td>0.168109</td>\n",
+       "      <td>2.23647</td>\n",
+       "      <td>125.12030</td>\n",
+       "      <td>277.48090</td>\n",
+       "      <td>127.94379</td>\n",
+       "      <td>2460000.5</td>\n",
+       "      <td>MBA</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>66</th>\n",
+       "      <td>(67)</td>\n",
+       "      <td>Asia</td>\n",
+       "      <td>A861 HA</td>\n",
+       "      <td>None</td>\n",
+       "      <td>2.422194</td>\n",
+       "      <td>0.184575</td>\n",
+       "      <td>6.02929</td>\n",
+       "      <td>202.38775</td>\n",
+       "      <td>107.06734</td>\n",
+       "      <td>284.59770</td>\n",
+       "      <td>2460000.5</td>\n",
+       "      <td>MBA</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",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1088217</th>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>2017 YG13</td>\n",
+       "      <td>2015 EU4</td>\n",
+       "      <td>2.289755</td>\n",
+       "      <td>0.234933</td>\n",
+       "      <td>4.04789</td>\n",
+       "      <td>53.75587</td>\n",
+       "      <td>330.70343</td>\n",
+       "      <td>232.09054</td>\n",
+       "      <td>2460000.5</td>\n",
+       "      <td>MBA</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1091374</th>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>2018 BA18</td>\n",
+       "      <td>None</td>\n",
+       "      <td>2.732153</td>\n",
+       "      <td>0.236757</td>\n",
+       "      <td>8.51407</td>\n",
+       "      <td>93.65058</td>\n",
+       "      <td>250.96625</td>\n",
+       "      <td>205.93107</td>\n",
+       "      <td>2460000.5</td>\n",
+       "      <td>MBA</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1111028</th>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>2019 AS55</td>\n",
+       "      <td>None</td>\n",
+       "      <td>1.932107</td>\n",
+       "      <td>0.113588</td>\n",
+       "      <td>17.87981</td>\n",
+       "      <td>303.87141</td>\n",
+       "      <td>56.44723</td>\n",
+       "      <td>318.19537</td>\n",
+       "      <td>2460000.5</td>\n",
+       "      <td>Hungaria</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1115074</th>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>2019 GP45</td>\n",
+       "      <td>None</td>\n",
+       "      <td>2.583391</td>\n",
+       "      <td>0.288735</td>\n",
+       "      <td>10.49456</td>\n",
+       "      <td>16.31149</td>\n",
+       "      <td>329.24792</td>\n",
+       "      <td>223.04968</td>\n",
+       "      <td>2460000.5</td>\n",
+       "      <td>MBA</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1118834</th>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>2019 JM61</td>\n",
+       "      <td>None</td>\n",
+       "      <td>3.149978</td>\n",
+       "      <td>0.327884</td>\n",
+       "      <td>20.94676</td>\n",
+       "      <td>57.29304</td>\n",
+       "      <td>274.48483</td>\n",
+       "      <td>176.19916</td>\n",
+       "      <td>2460000.5</td>\n",
+       "      <td>MBA</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>45433 rows × 12 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "        Number     Name Principal_desig Other_desigs         a         e  \\\n",
+       "33        (34)    Circe         A855 GA      1965 JL  2.686888  0.106587   \n",
+       "44        (45)  Eugenia         A857 MA      1941 BN  2.720880  0.083354   \n",
+       "50        (51)  Nemausa         A858 BA     1949 HC1  2.364919  0.067404   \n",
+       "61        (62)    Erato         A860 RD      A906 BE  3.130603  0.168109   \n",
+       "66        (67)     Asia         A861 HA         None  2.422194  0.184575   \n",
+       "...        ...      ...             ...          ...       ...       ...   \n",
+       "1088217   None     None       2017 YG13     2015 EU4  2.289755  0.234933   \n",
+       "1091374   None     None       2018 BA18         None  2.732153  0.236757   \n",
+       "1111028   None     None       2019 AS55         None  1.932107  0.113588   \n",
+       "1115074   None     None       2019 GP45         None  2.583391  0.288735   \n",
+       "1118834   None     None       2019 JM61         None  3.149978  0.327884   \n",
+       "\n",
+       "                i       Node       Peri          M      Epoch Orbit_type  \n",
+       "33        5.49740  184.33198  330.04966   80.66508  2460000.5        MBA  \n",
+       "44        6.60508  147.59158   87.54349  346.55692  2460000.5        MBA  \n",
+       "50        9.97939  175.95499    1.69084  116.27059  2460000.5        MBA  \n",
+       "61        2.23647  125.12030  277.48090  127.94379  2460000.5        MBA  \n",
+       "66        6.02929  202.38775  107.06734  284.59770  2460000.5        MBA  \n",
+       "...           ...        ...        ...        ...        ...        ...  \n",
+       "1088217   4.04789   53.75587  330.70343  232.09054  2460000.5        MBA  \n",
+       "1091374   8.51407   93.65058  250.96625  205.93107  2460000.5        MBA  \n",
+       "1111028  17.87981  303.87141   56.44723  318.19537  2460000.5   Hungaria  \n",
+       "1115074  10.49456   16.31149  329.24792  223.04968  2460000.5        MBA  \n",
+       "1118834  20.94676   57.29304  274.48483  176.19916  2460000.5        MBA  \n",
+       "\n",
+       "[45433 rows x 12 columns]"
+      ]
+     },
+     "execution_count": 14,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "mpc_in_detectable"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "bft_data = pd.read_parquet(\"../data/BFT_Miriade/ssoBFT-latest.parquet\", \n",
+    "                columns=[\"sso_id\", \"sso_number\", \"sso_name\", \"sso_type\", \"sso_class\"])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "rocks_names[\"ast_number\"] = rocks_names[\"ast_number\"].fillna(-1).astype(int).astype(str)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 17,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def get_label(x):\n",
+    "        if x[0] == \"MB\":\n",
+    "            if x[1] in [\"Middle\", \"Outer\", \"Inner\"]:\n",
+    "                return x[0]\n",
+    "            else:\n",
+    "                return x[1]\n",
+    "        elif x[0] == \"NEA\":\n",
+    "            return x[1]\n",
+    "        else:\n",
+    "            return x[0]\n",
+    "\n",
+    "def merge_bft(data):\n",
+    "    merge = (data\n",
+    "            .merge(rocks_names, left_on=\"ssnamenr\", right_on=\"ast_number\")\n",
+    "            .merge(bft_data, left_on=\"ast_name\", right_on=\"sso_name\")\n",
+    "            )\n",
+    "    merge[\"class_alt\"] = (\n",
+    "        merge[\"sso_class\"].str.split(\">\").map(lambda x: get_label(x))\n",
+    "    )\n",
+    "\n",
+    "    return merge"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 75,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "exp_with_bft = merge_bft(exp_paper_data_detectable)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 76,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "MB              618812\n",
+       "Trojan           14382\n",
+       "Hungaria         10869\n",
+       "Phocaea           7546\n",
+       "Mars-Crosser      7061\n",
+       "Hilda             2794\n",
+       "Cybele            2772\n",
+       "Apollo             707\n",
+       "Amor               600\n",
+       "KBO                 90\n",
+       "Aten                66\n",
+       "Centaur             39\n",
+       "Name: class_alt, dtype: int64"
+      ]
+     },
+     "execution_count": 76,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "exp_with_bft[\"class_alt\"].value_counts()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# KBO analysis"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 77,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/home/roman/anaconda3/envs/fink_fat_env/lib/python3.7/site-packages/ipykernel_launcher.py:2: SettingWithCopyWarning: \n",
+      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
+      "Try using .loc[row_indexer,col_indexer] = value instead\n",
+      "\n",
+      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
+      "  \n"
+     ]
+    }
+   ],
+   "source": [
+    "kbo_class = exp_with_bft[exp_with_bft[\"class_alt\"] == \"KBO\"]\n",
+    "kbo_class[\"iso_time\"] = Time(kbo_class[\"jd\"], format=\"jd\").iso"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 78,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "kbo_diff_time = kbo_class.sort_values(\"jd\").groupby(\"sso_name\").agg(\n",
+    "    time=(\"iso_time\", list),\n",
+    "    diff_time=(\"jd\", lambda x: list(np.diff(x))),\n",
+    "    diff_time_start=(\"jd\", lambda x: list(x)[1] - list(x)[0] if len(list(x)) > 1 else np.nan)\n",
+    ").explode(\"diff_time\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 79,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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eTZs26f7771dcXJwkyc/PT/Xr11dISIiCgoJMeZOSkjRo0CAdPnxYkjRlyhRNnDjRMjVp8eLF1bhxYzVt2tRm6qPz58+rb9++SkpKcqpfM2fOVJ8+fRQREWFaXqRIEdWvX1+hoaGqVauWzVQ1M2fOVL9+/XJkutTr16+rR48e+vfffy3LypYtqxYtWqhOnTry9vY25T937pzuvPNO7du3z6n6t23bprZt22rPnj2m5V5eXqpVq5ZCQ0MVHBwsPz8/0/Nbt25VmzZtdPHixUyuWca6dOliSq9Zsybd/GvXrrVZduLECdPw6hmVq1ChgurVq+cwb05tr3Hjxumxxx7T1atXTcsDAgLUoEEDhYaGmt7zpBtTEE+YMEGjRo1yqo20du3apbvuukuXL1+WdGMY+po1ayo0NFS1a9e2mUJxx44dGjp0qMvtuGLevHnq3LmzTp48afNc+fLl1axZMzVv3lxVqlRxqd6EhATdfffdmjt3rt16Q0JC7B5bhw8fVrt27fTXX3+5tiKSfv31Vw0cONDyHujt7a06derYfR1v5n/ppZcyrPexxx7T4sWLbZbfnCa0devWatCggc37rDMiIiLUsWNHLViwwOa5SpUqqUWLFmratKnNdFTnz59Xp06dtHHjRqfacdfrnJ/4+vpq4MCBlnRsbKwWLlzoUh0bN240vRfecccdKl++vMP8Of0e5C5vvvmmJkyYoNTUVNPywMBAy3R8hQsXtiz/8MMPNXny5Jzupsvy4nt2dnL3+uWX/TsjQ4cONU0HU6xYMTVo0EDNmjVT6dKl7ZaJj4+3WVayZEnVr19frVq1UtOmTe2+d2zcuFFdunSxfM5lt8OHD6t169YKCwszLU/7XbBRo0Y23w0OHTqkNm3a6NChQ0618+6776pv3766dOmSTTuVK1e2fPZVqFAhS+uTGePGjdPo0aOVmJhoWl6iRAk1adLE7nTaMTExuv/++zVr1iyX2/vrr7/Uu3dvXblyxbKsatWqCgkJUc2aNW3OkzLL3efW48eP10cffWSzPDAwUE2aNFHr1q3VqFGjdD8TAQAAcGuwng7z3nvvdfjdJz9YsmSJmjdvrgULFth8T7jpr7/+UseOHW1+P5w0aZK6du2qrVu32i1nGIaWLl2qVq1a6eDBg9ne95xUvXp1DRkyRIsXL1ZUVFS6eRMSEvTTTz8pJCREb775Zg710Dk9e/Y0/Q67ePFiXbt2zaU6DMPQN998Y0l7eXnpoYceSrfMV199pZo1a2rGjBk6d+6cw3yJiYlaunSpmjVrptdee82lfgEAkKNyN+4Nue2JJ56wuePi6aeftrnj4tixY6a8aafqUzbcLREXF2esWrXK8rAeMeedd94xPX/zcfbsWePs2bOmZY0bNzaVtVdu1apVTo16Y8/ly5dd7ufNh7Ws3nVy83WoUKGCMXv2bNP0aKmpqcbvv/9uVKlSxVSmX79+xsaNGy2jlLRs2dJYvXq1kZycbCkbHx9vfPLJJzbTv33wwQcZbp/Vq1fbjIDSs2dPIywszGY0s8jISGPq1Kk2I2NMmTIlw3ZcZX13S9pRgLp162YzmllkZKQxZcoUw8/Pz1SuUaNGGU7Xd+7cOZvR3ho3bmz88MMPNqPpxMXFGfPnzzdq1qxpyt+jRw8jNTXVpu6b+9I777xjyv/www+nu+9dvnzZUsfZs2dNZR966KF016dOnTp277ZJb7QC6zbSu1PIndsrra+//trm/W7w4MHGjh07bKYVCg8PN8aMGWN4e3ubysyfPz/dNqyP0ZsjIQUGBhrvvvuucenSJZt2hg4darNtly9fnm47mbV9+3abO/UCAgKM119/3e4okJcvXzZ+/vln48EHHzR8fHzSvcPwueees1mPPn362NyNFRkZabz99ts2o5TVrFkzw9Gm0h63JUqUsNxNV6lSJePrr7+2mY7y0KFDxt13321qx9PT09i3b1+62yht/kKFChljxoxxODLg+fPnjQULFhiDBw82ChcunO6IZykpKUbnzp1N9QcFBRnTpk0zzp07Z5N348aNRpcuXUz5K1WqZLMf2VsHd7zO7r7L8ujRoy5/lq9atcruaJTO3h27detWU74uXbo4vU6GYRiPPfaYqfy8efMc5s2J96DMcHWUpE2bNtmMltq8eXPjjz/+ML0Px8bGGl999ZVRqlQpy7FUsWJFU7nsltXzqrzwnr1z507Lvm39uZjecXD06NFcXb+8tH+n/V7x4osvmtp48cUX092O1t8PrPepsmXLWv4PCQkxfv/9d5vz2y1bttiMGDVixAijWLFixiOPPGL89NNPDkdGPHPmjDFlyhSb6RefeeaZDNfb1WM5NjbWqF+/vqlM9erVjc8//9x03mgYhpGUlGT89ttvRvPmzU35mzZtmuGUKYsXL7bZp8qWLWt88MEHNp99hnFjBLbvv//e6NWrl+Hp6WnzWZMd58I3LV261KZvDRs2NFasWGH6bpSQkGD8+OOPRuXKlU15fXx8Mrzr3HrEs5v7kJ+fnzF27FibqXaioqKMdevWmZa5OuKDu8+tz5w5Y3P8PvHEE8b+/fvt5r98+bKxbNky48knnzSKFy/OiGcAAAC3kGvXrhmFChUynft9//33bm0zN0c827hxo+k3NT8/P6N+/fpGSEiIERQUZPP9oUiRIsahQ4cMwzCMt956y/Rc8eLFjcaNGxtNmza1mapUkhEcHJzhdYa8POKZv7+/ze8AlStXNho3bmy0bt3aaNCggVGkSBGb9ZaU7sjnOT3imWEYxlNPPWXKN3v27AzXP63169ebyt91113p5h87dqzddQgICDAaNGhghIaG2lyDdeX3AQAAcgOBZwXYli1bTBcOPTw8jLlz56ZbZubMmXZPdrL7pDUrJ9Q5Oe97VvppGFk/+Zdk1K1b1wgPD3dY5uDBg6YAMi8vL6N27dqGdCMILb0vN9Yn5k2aNEm3f1FRUUa5cuUs+T09PY2vvvoq3TKGYRj//POP6Yubj4+P3QtRWeFoStbHH3883YClzZs323xBevvtt9Ntq3v37qb8w4cPz/BLZFRUlNG2bVtTOeupUdPK7HRKN6W90Fi+fHmH+c6cOWNqp1mzZpb/Bw4c6LDct99+ayr39ddfO8ybE9vr6NGjptexcOHCTl1IX7dunSlAqkyZMukGrdo7RqtVq5bhdFSPP/64qUyfPn0y7Jur4uPjbb6wBgcHG6dOnXKq/JkzZxxOubt9+3abQJTx48enW9/OnTuNgIAAU5lRo0alW8betJHNmzdPd0qo5ORkm33s2WefdZjfOkghvX3X2qVLl9Lti/XUBK1atcpwCrWUlBSbqazS+4HBna9zXv6xy5orP1LWrVvXdC7k7LaKi4szTZVWvHhxh+8POfUelBmufJ6kpKQYDRo0MOXv0aNHuu/ZJ06csAk4c9c5WnacV+WV92zDcO3Hcntyav3y8v6d1QsWjqbt7N+/v0vTw+/cudO4cuWK0/lPnDhhVK9e3bRNM5r21NVzwyeffNKUv2fPnhkGgNubivrdd991mP/8+fM2QXTt27c3oqKi0m3npoMHDxqnT5+2+1xWz4VjY2NNgYSSjNtvvz3dQLrLly8bjRo1MpVp2rRpuu1YB55JMooWLWps2LDB6b66uh+7+9z6448/dumcL62rV686/TkLAACA3Ld69Wqb89mbgVbukpuBZ3ntRv+8/Fucv7+/Ua9ePWPcuHHG5s2bTdvqppSUFGPLli3GwIEDTXV7eXkZ27dvt1svN6b+T07emAoAQFYReFaAWZ/sPf30006Vsz6JcsdJK4Fn9lmvm7e3t1Nzu1tfWJJk1KpVy+6XgbRSU1NNF+QlORyhwTBs7+p56623MuzbTb/++qup7H//+1+nyzrDXuBZkyZNTF8AHfnss89M5SpXruyw3JYtW0x577rrrgxH4rrp3LlzptHfbrvtNod5s3qxbcSIEaby//zzj91833zzjSVP6dKljdmzZ1vSZcqUcVj/sGHDTPU7Gi0qp7aX9eiOP/zwg1NtGIbtxbX0RmmwPka9vLyMHTt2ZNjG5cuXTaPrFSlSxOaLZlZ9/vnnpr6VKlUq3ePZFQ888ICp7nvuucepcvPmzTOV8/f3N6Kjox3mtw48CwgIcLhvpXXgwAFTubp16zrM27t3b0u+okWLOvUe4YzY2FgjMDDQUnf58uUzDCK4KTk52WjdurWpX44u2rvzdc7LP3ZZc+VHyjfffNOUd/LkyU618cMPP5jKDR8+3GHenHoPygxXPk9WrFhhylu+fHmbkQbt2bBhg81nsDvO0bK6n+Wl92zDyP7AM3etX17ev90ReFajRg3j+vXr2dpPe6wv8Hz88cfp5nflWD516pRp1ILGjRtnOHLZTbGxsaYA56pVqzr8rBwzZoypT7Vr1zauXbvmVDsZyeq5sPXnZYUKFZwKDjx+/LjNqK2rV692mN9e4Nlnn33mUl9d2Y9z4tx61KhRpjbOnz/v0voAAADg1vHRRx+Zzv2KFi3q9PllZuVm4NnN3w3zyo3+efm3OFevhc2ZM8dU//33359hGW5MvSEnbtwDACCrPIUCKTo62jT/vJ+fnyZNmuRU2TfffFM+Pj7u6hpc0L9/fzVu3DjDfL169bJZ9sorr6hIkSLplvPw8LAp+9dff9nNm5KSog8//NCSrlKlip5//vkM+3ZTjx491KxZM0t64cKFTpfNrDfffFNeXl4Z5nv88cdVu3ZtS/r06dNatWqV3bzvvfeeKT1jxgx5eHg41Z9y5crpscces6Q3bdqkCxcuOFXWVV26dDGl165dazffmjVrTGW6detmSUdERGjfvn12y6Wtr0aNGqpatardfDmxvS5fvqxvvvnGkm7Tpo0GDhzoVBvSjde/TJkylrQr++Z9992nkJCQDPOVLFlSd9xxhyV9/fp1/fvvv0634wzrbf3222+rfPnyWa43OjratE08PDw0ffp0p8oOGDBArVu3tqRjY2P1/fffO932k08+6XDfSqtevXqm98rDhw/r2rVrdvPGxcVZ/vf09JSnZ/acKn3zzTe6fPmyJT1x4kQFBgY6VdbLy0tjxoyxpK9du6bff//dbl53vc752cMPP2x6ndO+X6Rnzpw5pvSQIUPs5svN96Ds9vXXX5vSY8eOVbFixTIs165dO/Xp08dNvco+eek92x3csX75af921quvvqrChQu7vZ2uXbua3r83b96cbXV//PHHSk5OtqSnTZsmX19fp8oWKVJEo0ePtqRPnjypnTt32uRLTEzUp59+alr22Wefyd/fP5O9zl5ffvmlKT1p0iQFBARkWK5atWoaNWqUadnMmTOdbrdKlSp6/PHHnc7vqpw4t057riRJ3t7erncUAAAAt4S0v2VJUlBQkNPnl7cib29v/fjjj6pQoYLDPHXq1NEjjzxiSaekpOjw4cOqVauW5syZk+758ZAhQ1S3bl1Les+ePTp37lz2dD6HderUyaX8gwcP1qBBgyzpRYsW6cqVK9ncq8xL+7ueYRiaO3euU+V+/vln03oMGDBAfn5+dvO+/fbbun79uiX99ddf66677sqwjQ4dOuidd96xpCMiIvTtt9861T8AAHIKgWcF1JYtW5SQkGBJ33333U5fAA8KClKPHj3c1TW4oH///k7la9iwoSnt4eGhvn37OlW2UaNGpvSpU6fs5tuzZ4/Onj1rSQ8cONDlixBpL3L++++/unTpkkvlXVG2bFndeeedTuX19PQ0fSmSpLCwMJt8qampWrFihSUdGhpq+iLpjLTbQJI2bNjgUnlnde7c2RRokTbALK20AWRdunRRxYoVTetkr9yxY8d04sQJS7pr1652686p7RUWFma6QPbwww+71Ia3t7c6d+5sSW/evFmpqalOlR0wYIDT7TRt2tSUPn36tNNlM3LmzBkdOHDAki5VqpQeeuihbKl7y5YtSkxMtKTbtWunOnXqOF1+2LBhpvT69eudLpvZ7Zuamqrw8HC7+dL+sBQTE6NffvnF6TbSs3z5csv/hQoVcikwQ7pxHKU9Zu3t6+58nfOzSpUqmYJxDx48qG3btqVb5vz586YA5Nq1a6tt27Z28+bme1B2S/vZ5+3t7dJ+PHTo0OzvUDbLK+/Z7uKO9ctP+7czvLy8dP/99+dYe9WqVbP87+jmj8xI+5lUrlw5040FznDm/Gv79u2Kjo62pBs2bGhz40NuuXbtmv78809LukiRIi69n1mfu7hyvj5gwIBsC2q3llPn1tYX4bjgAQAAkH9ZB56VKFEidzqSQ/LSjf75UdprLMnJydqxY0cu9saMG1MBAMgaAs8KqO3bt5vSrt6d4Gp+uEeLFi2cyleqVClTunr16ipZsmSmysbExNjNZ31RwpkRNaxVqVLFlE4bQJHd2rVr59RoZzdZ7/PWx5Ak7d2713R3S17eBiVLljRdVF63bp3Nhd7Dhw+bLjTfDCBLe9HQ3khp1sFoji4y5tT2yu59MyYmxmHQkjVX2kr7xVFStt7xZb0NunTp4vTIJhmxDtBx9aKydWDi1q1bnSrn7e2tJk2aON2Os9v39ttvN6UfeughTZ8+3XTx3FWGYWjTpk2WdJ06dZwaVSUtf39/0/uxM/t6dr7O+Z11UFRGPy59++23SklJsaQHDx7sMG9uvgdlp5MnTyoiIsKSbty4sdM3LUhSx44d3dGtbJVX3rPdxR3rl1/2b2fVq1fPqVH+0nPixAm9/fbb6t+/v+rXr6+goCD5+vrKw8PD5rFlyxZLuey6ISMqKso0Ym3z5s1dDoTKzPmXM3dx55SdO3ea3sNbtmypokWLOl2+du3aqly5siV97tw5nTx50qmyoaGhznfURTl1bm19rvT8889r7NixOn/+vMvtAQAAIG+7evWqKZ1XRjB2l7x0o39+VL16dVM6LwXdcWMqAABZQ+BZAXX8+HFT2vpEOSPWJ8fIHUFBQU7ls77Txtly9spaT61yk/VFifvvv9/uBbT0HiNGjDDVYX1HVXZydZ+3zm99DEm22+CTTz5xeRs0aNDAVIc7t0HaL1JRUVGmkR8kc1BZlSpVVKtWLUnmQKF169aZLtxZl7NuJ62c2l7W7YSGhrrczrRp0zJsxx7rC/fpsf7hxtGxlhlHjx41pTNzIdIR6wutztwVmFaNGjVMF/FPnz4twzAyLBcYGOhS8Kiz27d///4KDg62pK9du6YXXnhBZcuW1R133KEpU6Zo48aNio+Pd7rtCxcumPaZ/fv3u7wPenh46OLFi5Y67O2D7nyd87t7773XtB/OmzfPNJKftbSBaR4eHun+WJSb70HZKavnjiVKlDAFauRFeeU9213csX75Zf92lvWP5K44efKk+vTpoxo1aujll1/WTz/9ZBnhN733m5uyEgCd1sGDB02fs8uXL3f5NbPeP261z6SsnrtIsgl+d/ZiUVb2oYzk1Ll127ZtTcFnycnJmjx5sipWrKj27dtr4sSJWrNmjc1FSgAAANx6rG+8iY2NzaWe5Iy8dKP/rSI1NVVr167V888/r27duqlq1aoqUaKEvLy8bL5vWI/I7M4ZbzKDG1MBAMg8As8KKOsLF9YnuxlxNT/cw9Fc8e4qJ8lhQEhkZGSm63TEnaOHuLoPlyxZ0jQahL2Lf7faNrAOCLMeqSxtAFnaYLPOnTvLw8PD0r+dO3eayv3xxx+W/xs0aODwQndOba/cfF3ccaxlhvVFQ1eCDzISFRVlSpcuXdrlOtIejykpKU5dqMzKtpUcb19vb2/98ssvNj+EJCYmatWqVRozZozat2+vEiVKqHPnznrvvfd04cKFdNvKqX3Qna9zflekSBHTXa2XL1/WsmXL7Ob966+/tHfvXku6U6dOqlq1qsO6b7XPBkeyeu6Y2TI5Ka+8Z7sL539Z5+polTdt375dTZo00ZIlSzK9rzgTnOYMPpOy59zFuox1nY5kdh9yRk4ej99//71at25tWpaamqqNGzdq0qRJ6tatmwIDA9WmTRtNnjxZJ06cyPa+AQAAwP2sRzrPy9/XskNeutH/VrBkyRLVqlVLXbt21bvvvqs1a9bo1KlTunLlilOjcWXXDVbZhRtTAQDIPALPCqhr166Z0hnNPW8tvw+pDNe540uCO4cKdnWf9/DwUOHChS1p62NIuvW2QYcOHeTt7W1Jpw00MwzDFECWNvAsMDDQNE1n2nL79u0zBeFYT6OYVk5tr1vtdXEH60AuV6aTyoj1sZCZzwfrMrk9QkaNGjX0559/WkbvsCchIUFhYWEaPXq0qlSpomeeecZhv3NqH3Tn61wQDBkyxJR2dFej9XLrctbyy3tQVs8dJc4f86P8sn87K+15k7MiIyPVo0cPmws0jRs31ogRIzRjxgzNnz9fS5cu1cqVK7Vq1SrLIzMjcWWEz6TcPXfJzD7krJw8HkuXLq3169frk08+sYyKbC05OVlbt27V2LFjVbNmTT388MMZBusDAAAgb7EOPEs7Gn9+lJdu9M/rXn31VfXp08fuzDDOSkhIyMYeZR03pgIAkHmFcrsDyB3WP5Rfv37dpfL5fUhluM76AvSUKVOcHpraEeupXrKTq/u8YRimu4/sXTyz3gYPPPCAhg0blrkO/r8KFSpkqXx6/P39FRoaqk2bNkmSNm7cqMTERPn4+Gjv3r2mHxKsR0fr2rWr/vrrL0k3RkobM2aMJOen2ZRybntZtzNr1ixVqlQpS+1YT6+U11kPi28vcDKzrI+FzHw+WJex7m9uKFKkiF599VW98sor2rRpk9auXauwsDBt27bN5k7ExMREffjhh1q5cqXWr19vM6qL9T4YHBys999/P0v9SxsIe5M7X+eCoH379qpevbrlB7Ply5fr0qVLplFtkpOT9f3331vS/v7+uu+++9KtN7+8B2X13FHi/DE/yi/7tztNnjzZ9ANz7dq19e233yo0NDTDspkJ8HS1zs6dO+vVV1/NUp32ppTJy59J+fncJS13fxfx9vbWU089paeeeko7d+7UmjVrFBYWps2bN9tMF5Samqpvv/1Wq1evVlhYmM3IsgAAAMib6tWrZ0pfvXpVR44ccXjzAQqGOXPm6K233jItK1y4sNq3b6/Q0FBVqVJFpUuXlq+vr3x8fCx5Lly4oEGDBuV0d10yZMgQff3115b0N998o759+9rkK6g3pgIA4AiBZwVUiRIlTGlX51J3R3Q+bm3W081Ur15d3bp1y6XeZMzVfT4qKsp0Im99DEm226BEiRJ5ehtINwLDbgaeXb9+XVu2bFHHjh1N027Wr19f5cuXtyn3zjvvSJI2bdqkhIQE+fr6msp5eXmpY8eODtvOqe1l3U5wcLBTF3vzE+u7EyMiIrKtbuuLzZn5fEhbxsvLK09cvL3J09NT7du3V/v27TVhwgQlJSVp586dWrFihb7//nsdOXLEkvfgwYMaOnSoli9fbqrDeh80DMMt+7o7X2dJlil2MyMzQUo5zcPDQ4MHD9akSZMkSUlJSfrhhx80cuRIS54VK1aYtut9992X4Sg++eU9KKvnjhLnj/lRftm/3Wn+/PmW//38/LRixQrVqFHDqbLumDbD+jXz8/O7JT+TsiI7zl2s3wPtBd/ltNz8LhISEqKQkBC9/PLLSk1N1Z49e7RixQrNnz9fe/bsseQ7f/68+vXrpz179sjTkwH4AQAA8rrWrVurUKFCSk5OtizbuXMngWcFWGJiol5++WXTsmHDhuntt99WqVKl0i178OBBd3YtW3BjKgAAmcMvfQWU9cWOffv2uVT+77//zs7uIB+oXr26KZ02GCMvcnWfTztssmS7vvaW5fVtINmOSHZzxLK0I5fZmy4z7TSd8fHx2rx5s1JSUrR+/XpLnmbNmtkN0Lspp7bXrfi6ZLfatWub0jt37sy2uq2HEE97cdEZx44dM01PVaVKlSwFOLmbt7e32rRpo0mTJunQoUP6+OOPTRdOf/vtNx04cMBUply5cqYRyk6ePKmkpKRs75s7X2fJdtoA65Hf0nOrTMUwePBg0/5nfffinDlzTOmM7maU8s97UFbPHaOjo3X69Ons7BLygPyyf7vLqVOndPbsWUu6e/fuTgedxcXFZWnKEkdy6jVz92dSVmT13MVemfSmVMkpeeV49PT0VLNmzTRmzBjt3r1bCxcuNJ0H7du3T7///nuu9A0AAACu8ff3V/PmzU3Lli5d6tY28/uNj67Ii9siLCxMFy5csKTvuOMOffXVVxkGnUnuubkqu928MfWmmzemppVdN6Z269YtS4+8cAMUAAA3EXhWQLVs2dKUXrdunUvlXc2fX1nfpW0YRi71JPd17tzZlLaecjGv2bhxo1JSUpzOb73P2xvNIzQ01HTnyubNmxUfH5/5TqYju/a9Nm3amC4ErVmzxiaAzF7g2c1pOtOW+/PPP01DRtsrl1ZOba9bbd90h/bt25vSa9euVUJCQrbU3bp1a5u6XWGd37q+vMzDw0P/+c9/9OCDD5qWb9y40ZT29vbWbbfdZklfv35d27Zty/b+uPN1lqSAgABTOu2PTBnZsWOHS23l1udrjRo11K5dO0t6586dlkDCqKgo/fLLL5bnqlSpYvP+Yk9+eQ+qWrWqaRrZvXv3uvSDIeeOrkv7A3NePcfM6/t3bp+rW79PujK94IYNG9wSpFypUiXT6ASHDx92S1Co9WfSb7/9lq31Z+W1DQkJkZeXlyW9Y8cOl6YCPXLkiGmblS9fXlWqVHG6vLvk5HcRV/Tt21fPP/+8aZn1uRIAAADyrnvvvdeUXrRokVtHNC8INz46Ky9ui61bt5rS//nPf5wu+88//2R3d9yCG1MBAHAdgWcFVNu2bU1zq//6669OXzyMiIiwmUasoPL39zel89sdNa4IDQ013WGxdu1a7d+/Pxd7lL6IiAin77RPTU3Vt99+a1pmbwpJHx8f0whisbGxmjVrVtY66kB27Xu+vr6mgJjt27crLCxMMTExkm5c1OvUqZPdsmkDy9auXWuaZlOyHU3NWk5tr27duqlQof/NLD1v3rwCN91bhQoV1KhRI0s6MjJS3333XbbU3bp1a9PnycaNG1364vz111+b0ulNz5pXpT2GJPtTEHbv3t2U/vDDD7O9H+58nSXb0Vz++usvp8umnWrOGbn5+Tp06FBT+uaPSfPnzzcF8j388MNO3Xman96D0h6fSUlJmjdvntNlZ8+e7YYe5W9pj4O8eo6Z1/fv3D5Xtw6GSkxMdLrsJ598kt3dsbD+TProo4+yvY2WLVuaptvct29ftgYmZuW1LVq0qFq0aGEq++OPPzpdPq+eu+TkdxFXOXOuBAAAgLzpiSeeMI3mlJCQoKlTp7qtvZy88TGvy4vbIis3WLn6nZAbUwEAuHUQeFZAlShRwnSnSnx8vCZMmOBU2f/+978uXTTJz9JeTJHklulwbhXe3t569tlnLWnDMPTEE0+4ZaSG7PLqq686NerZF198ocOHD1vSlSpV0h133GE374svvmhKT5gwQadOncpaR+3Izn0v7QWqpKQkTZw40ZJu3ry5w+ky0wae7dixQ0uWLLGkfXx8TF/OHMmJ7VW2bFk9/PDDlnRsbKxGjBiRrW3cCkaNGmVKv/TSSzp37lyW6y1RooT69etnSRuGoRdeeMGpsj/99JO2bNliSRctWlQPPPBAlvuU06wvntob5vyxxx4zHUs//fSTfv3112zvi7teZ0k2UyssXrxYycnJGZZbtGiRy1Os5ebna//+/U0jxnz33XdKTU21ubsx7bD76clP70HDhg0zpd944w3TVLmObNy4UT///LObepV/pT0OTpw4kXsdSUde379z+1y9XLlyprSzozwtX77cdF6V3UaPHm0KGPzwww/1559/Zmsb3t7eNne+P/nkk4qNjc2W+rP62j722GOm9Pjx450a9ezkyZN6//33Tcsef/xxl9p2p5z6LuIqZ86VAAAAkDeVLFlSjz76qGnZu+++my2j+dsb4CAnb3zM6/LitsjsDVYXLlzQokWLXGqLG1MBALh1EHhWgI0aNcp0QvTxxx9nODLKl19+qS+//NLdXbtlNGjQwJReuHBhLvUkbxg1apTKli1rSW/cuFH9+vXTlStXnK4jNjZWH3zwgb766it3dNFkz549GQ4FvXXrVj333HOmZU8//bRpep60OnTooDvvvNOSvnjxou644w79+++/TvcrNTVVP//8s15++WWHeapWrWq602zNmjWKiopyuo20rEcmS3tRNL3pMlu3bm0JzkhOTjYNs92qVStT4IYjObW9xo4da+rP/Pnz9cQTT7gURHv58mW98cYbpjuabiUPP/ywatasaUlHRkaqW7duOnPmjFPlw8PDdfDgQbvPjR492nQH2pIlS/TGG2+kW9/u3bttLvo+9thjNnfy5bSHHnrIpSkBo6KibD4X046iclPx4sVN+2hqaqoeeOABLV261KX+7dq1SwMGDHD4vDtf53LlyqlZs2aW9OnTp/X222+nW9+OHTtsXmdnWH++/vTTTy7XkVnFihUzBeefOXNGn3/+uSlIsk2bNqpTp47TdeaX96A77rhD9evXt6TPnTungQMHphtkfvLkSQ0cODAnupfvpD0OLl26pLCwsNzrTDry8v5t/V6ydOnSHL0pokqVKqpYsaIlvWPHjgx//N++fbsGDRrk1n7VqFHDdOEoLi5O99xzj+l9zhlr167V8OHDHT7/zDPPmALEDh8+rB49epimZk/PwYMHHX5+ZfVc+KGHHjJ9bwkPD9f999+f7n4bHR2t3r17my52NGvWLMNRfnNSTpxbjxgxQr/88ovTow0kJCTogw8+MC2zd64EAACAvGvixImqVq2aJZ2SkqI+ffpo7969maovKSlJL7zwgt0bl+rWrWv6jrlq1SqnvkPs2LFDixcvzlR/8qqcvAnUWZm9wWrkyJGmgC1ncGMqAAC3DgLPCrA2bdqYLjgYhqGHH35YzzzzjE6fPm3Ke+LECT311FOWCwtpv2QUZM2aNVPp0qUt6bCwMHXp0kWfffaZli9frtWrV5se+V3x4sW1YMECeXt7W5YtXbpUDRo00PTp0x3ebX/69Gn99NNPGjRokCpUqKBRo0bZ7IPZ7ebdQjNnztQdd9xhM8pDVFSU3n77bXXu3Nl0calhw4Y2gWjWvvnmG1WuXNmSPnjwoFq0aKFnn31We/bssXuRJioqSqtXr9bo0aNVrVo13XvvveneNebp6WkKCouOjlbr1q01depULVmyxGbfS+9CXEhIiIoXL273ufQCz9Ib1Sy9ctZyYnvVqFHDJphx5syZatSokb744gu7w5QbhqGjR49q7ty56tu3rypVqqRx48bdsnci+fj4aP78+fL19bUs279/vxo2bKjJkyfr5MmTNmWio6O1ZMkSPfjgg6pRo4bDC9IhISEaPXq0adm4cePUr18/7du3z7Q8KipK77zzjm677TZTUGrNmjUzDFbLCb/++qs6deqk4OBgTZgwQVu2bLF7N11cXJwWLFigVq1ambZdkyZN1LJlS7t1v/TSS+rRo4clffXqVfXp00d9+/bV2rVr7f74Eh8fr+3bt+vNN99UixYtFBISku50YO58nSXbUV3Gjh2rMWPG2LzHnD17VhMmTFDHjh0VFRVlCoZzxu23325Kv/7663rkkUc0d+5crVixwvT+tmvXLpfqdsaQIUNMaev3fevnM5Jf3oM8PT31+eefm25cWL58udq0aaOwsDDT+/X169c1a9YshYSEKDw8XIUKFTIF4CBj1qOr3nvvvXrllVe0YMECrVy50nQcHDt2LJd6mbf37zJlyqhJkyaW9OHDh9WmTRu9//77WrZsmc35Unx8fLa2L9n+CD148GC99dZblmnNbzpz5ozGjh2rDh06KCoqSn5+fm79zjVjxgxTMPG5c+fUoUMHPfLII9q6davdixnXrl3Txo0b9d///lf16tVT165dtXLlSodtBAUFafbs2ab3jPXr16t+/fr66KOP7O4bERER+uGHH9SrVy8FBwc7nL47q+fCRYoU0RdffGFa9ttvvyk0NFSrVq1SamqqZXliYqIWLlyopk2bas+ePZblPj4+eXIaYXefW2/atEm9evVS9erV9cILLygsLMxmf5ZuXExcsWKFbrvtNtM0P+XKldM999yTDWsKAACAnFKiRAnNnz/f9Lv/+fPn1bFjR/3www8uTYG4bt06hYSEaPr06XbLeXl5mW6miIuL00svvZRunUePHtX999/v1Owmt5KcvAnUWW3btjWlp0yZYjPCsbWxY8dqwYIFLrfFjam28sKNqQAA2GWgQLty5YrRrFkzQ5Lp4eHhYdSoUcNo2bKlUb16ddNzxYoVM5YvX25aNmTIkHTb6dixoyl/RiZMmGDK/8cffzi9Tq62lVWvvfaazfZz9LB2/Phxt27HtNKW69ixo9Pl/vjjD1PZCRMmZFjmhx9+MPz8/Oxug/LlyxtNmjQxQkNDjbp16xolS5a0m8+Zdlwxa9YsU/0ff/yx0ahRI9OycuXKGSEhIUbdunUNb29vmz6VLFnS2LNnj1Pt/f3330blypXtrlvx4sWN4OBgo1WrVkaDBg2M8uXL282X0esUFhZmeHh4OLXvZXQM9ezZ06aMr6+vcf369XTLTZkyxW5769evd2o75eT2MgzDmD59uuHp6Wm3fOXKlY1mzZoZLVu2NGrXrm0UK1bMbr5Zs2Y5rD8rx6j1PppeO1kxf/58w9fX1+66VaxY0WjevLnRokULo0qVKjb7V3p9io+PN7p162a33goVKqR7bJUqVcrYtWtXhn2vWrWqpUzVqlVdWm9nP1eKFy9u0z8vLy+jatWqRrNmzYxWrVo5XI8iRYpkuB7R0dFGp06d7G4nX19fo06dOkarVq2MJk2aGFWrVjW8vLyc+jyx5q7XOSkpye55Q6FChYzg4GAjNDTU5ryhXLlyRlhYmGlZRp93hmEYXbp0cer9zd6xn9XjKSUlxahYsaLD1ykqKsql+m5y93tQZmTmc97RuU+pUqWM5s2bGw0aNDAKFy5seu6NN95w+zlaTp5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AAAAAAAAAkBKFZwAAAAAAAAAAAKRE4RkAAAAAAAAAAAApUXgGAAAAAAAAAABAShSeAQAAAAAAAAAAkBKFZwAAAAAAAAAAAKRE4RkAAAAAAAAAAAApUXgGAAAAAAAAAABAShSeAQAAAAAAAAAAkJL/DzmxJ7LGXTL/AAAAAElFTkSuQmCC",
+      "text/plain": [
+       "<Figure size 3000x1000 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "es.plot_hist_and_cdf(\n",
+    "    kbo_diff_time[\"diff_time\"],\n",
+    "    None,\n",
+    "    \"diff time between consecutive jd in the trajectories\",\n",
+    "    \"diff time\",\n",
+    "    \"distribution\",\n",
+    "    None,\n",
+    "    \"Cumulative\",\n",
+    "    \"diff time\",\n",
+    "    \"cumulative\"\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 80,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 3000x1000 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "es.plot_hist_and_cdf(\n",
+    "    kbo_diff_time[\"diff_time_start\"],\n",
+    "    None,\n",
+    "    \"diff time between the two first points of the trajectories\",\n",
+    "    \"diff time\",\n",
+    "    \"distribution\",\n",
+    "    None,\n",
+    "    \"Cumulative\",\n",
+    "    \"diff time\",\n",
+    "    \"cumulative\"\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 81,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "kbo_name = kbo_class[(kbo_class[\"jd\"] >= Time(\"2020-09-04\").jd) & (kbo_class[\"jd\"] < Time(\"2020-09-05\").jd)][\"ssnamenr\"]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 82,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "array(['2020-09-04 09:36:18.999', '2020-09-04 08:52:21.000',\n",
+       "       '2020-09-16 11:39:19.996', '2020-09-16 11:38:40.001',\n",
+       "       '2020-09-15 09:29:32.997', '2020-09-04 09:04:47.004',\n",
+       "       '2020-09-15 10:08:14.004', '2020-09-04 08:09:17.001',\n",
+       "       '2020-09-16 11:48:47.998'], dtype='<U23')"
+      ]
+     },
+     "execution_count": 82,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "Time(kbo_class.sort_values(\"jd\").groupby(\"ssnamenr\").agg(\n",
+    "    first_jd=(\"jd\", lambda x: list(x)[0])\n",
+    ")[\"first_jd\"], format=\"jd\").iso"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 83,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "first_night = pd.read_parquet(\"../../save_ff_output_kbo_neo_issue/2020-09-04/trajectory_df.parquet\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 84,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "kbo_first_night_assoc = first_night[first_night[\"trajectory_id\"].isin(first_night[first_night[\"ssnamenr\"].isin(kbo_name)][\"trajectory_id\"])]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 85,
+   "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>ra</th>\n",
+       "      <th>dec</th>\n",
+       "      <th>jd</th>\n",
+       "      <th>nid</th>\n",
+       "      <th>fid</th>\n",
+       "      <th>magpsf</th>\n",
+       "      <th>sigmapsf</th>\n",
+       "      <th>candid</th>\n",
+       "      <th>not_updated</th>\n",
+       "      <th>last_assoc_date</th>\n",
+       "      <th>...</th>\n",
+       "      <th>ssnamenr</th>\n",
+       "      <th>assoc_tag</th>\n",
+       "      <th>ast_name</th>\n",
+       "      <th>ast_number</th>\n",
+       "      <th>sso_id</th>\n",
+       "      <th>sso_number</th>\n",
+       "      <th>sso_name</th>\n",
+       "      <th>sso_type</th>\n",
+       "      <th>sso_class</th>\n",
+       "      <th>class_alt</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>26.744931</td>\n",
+       "      <td>-1.229936</td>\n",
+       "      <td>2.459095e+06</td>\n",
+       "      <td>1340</td>\n",
+       "      <td>1</td>\n",
+       "      <td>18.094423</td>\n",
+       "      <td>0.094016</td>\n",
+       "      <td>1340498484515015021</td>\n",
+       "      <td>True</td>\n",
+       "      <td>2020-09-02</td>\n",
+       "      <td>...</td>\n",
+       "      <td>10546</td>\n",
+       "      <td>N</td>\n",
+       "      <td>Nakanomakoto</td>\n",
+       "      <td>10546</td>\n",
+       "      <td>Nakanomakoto</td>\n",
+       "      <td>10546.0</td>\n",
+       "      <td>Nakanomakoto</td>\n",
+       "      <td>Asteroid</td>\n",
+       "      <td>MB&gt;Inner</td>\n",
+       "      <td>MB</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>23.507748</td>\n",
+       "      <td>12.372524</td>\n",
+       "      <td>2.459095e+06</td>\n",
+       "      <td>1340</td>\n",
+       "      <td>1</td>\n",
+       "      <td>18.908697</td>\n",
+       "      <td>0.194976</td>\n",
+       "      <td>1340495193815015001</td>\n",
+       "      <td>True</td>\n",
+       "      <td>2020-09-02</td>\n",
+       "      <td>...</td>\n",
+       "      <td>60351</td>\n",
+       "      <td>N</td>\n",
+       "      <td>2000 AG87</td>\n",
+       "      <td>60351</td>\n",
+       "      <td>2000_AG87</td>\n",
+       "      <td>60351.0</td>\n",
+       "      <td>2000 AG87</td>\n",
+       "      <td>Asteroid</td>\n",
+       "      <td>MB&gt;Inner</td>\n",
+       "      <td>MB</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>26.591834</td>\n",
+       "      <td>-1.549407</td>\n",
+       "      <td>2.459097e+06</td>\n",
+       "      <td>1342</td>\n",
+       "      <td>2</td>\n",
+       "      <td>18.594046</td>\n",
+       "      <td>0.088013</td>\n",
+       "      <td>1342400214515015018</td>\n",
+       "      <td>True</td>\n",
+       "      <td>2020-09-04</td>\n",
+       "      <td>...</td>\n",
+       "      <td>136199</td>\n",
+       "      <td>N</td>\n",
+       "      <td>Eris</td>\n",
+       "      <td>136199</td>\n",
+       "      <td>Eris</td>\n",
+       "      <td>136199.0</td>\n",
+       "      <td>Eris</td>\n",
+       "      <td>Dwarf Planet</td>\n",
+       "      <td>KBO&gt;Detached</td>\n",
+       "      <td>KBO</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>23.113685</td>\n",
+       "      <td>12.083184</td>\n",
+       "      <td>2.459097e+06</td>\n",
+       "      <td>1342</td>\n",
+       "      <td>2</td>\n",
+       "      <td>19.411676</td>\n",
+       "      <td>0.196562</td>\n",
+       "      <td>1342378323815015009</td>\n",
+       "      <td>True</td>\n",
+       "      <td>2020-09-04</td>\n",
+       "      <td>...</td>\n",
+       "      <td>44594</td>\n",
+       "      <td>N</td>\n",
+       "      <td>1999 OX3</td>\n",
+       "      <td>44594</td>\n",
+       "      <td>1999_OX3</td>\n",
+       "      <td>44594.0</td>\n",
+       "      <td>1999 OX3</td>\n",
+       "      <td>Asteroid</td>\n",
+       "      <td>KBO&gt;SDO</td>\n",
+       "      <td>KBO</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>4 rows × 22 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "          ra        dec            jd   nid  fid     magpsf  sigmapsf  \\\n",
+       "0  26.744931  -1.229936  2.459095e+06  1340    1  18.094423  0.094016   \n",
+       "1  23.507748  12.372524  2.459095e+06  1340    1  18.908697  0.194976   \n",
+       "2  26.591834  -1.549407  2.459097e+06  1342    2  18.594046  0.088013   \n",
+       "3  23.113685  12.083184  2.459097e+06  1342    2  19.411676  0.196562   \n",
+       "\n",
+       "                candid  not_updated last_assoc_date  ...  ssnamenr assoc_tag  \\\n",
+       "0  1340498484515015021         True      2020-09-02  ...     10546         N   \n",
+       "1  1340495193815015001         True      2020-09-02  ...     60351         N   \n",
+       "2  1342400214515015018         True      2020-09-04  ...    136199         N   \n",
+       "3  1342378323815015009         True      2020-09-04  ...     44594         N   \n",
+       "\n",
+       "       ast_name ast_number        sso_id sso_number      sso_name  \\\n",
+       "0  Nakanomakoto      10546  Nakanomakoto    10546.0  Nakanomakoto   \n",
+       "1     2000 AG87      60351     2000_AG87    60351.0     2000 AG87   \n",
+       "2          Eris     136199          Eris   136199.0          Eris   \n",
+       "3      1999 OX3      44594      1999_OX3    44594.0      1999 OX3   \n",
+       "\n",
+       "       sso_type     sso_class class_alt  \n",
+       "0      Asteroid      MB>Inner        MB  \n",
+       "1      Asteroid      MB>Inner        MB  \n",
+       "2  Dwarf Planet  KBO>Detached       KBO  \n",
+       "3      Asteroid       KBO>SDO       KBO  \n",
+       "\n",
+       "[4 rows x 22 columns]"
+      ]
+     },
+     "execution_count": 85,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "merge_bft(kbo_first_night_assoc)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 86,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "MB              45803\n",
+       "Phocaea           717\n",
+       "Mars-Crosser      658\n",
+       "Hungaria          620\n",
+       "Trojan            520\n",
+       "Cybele            239\n",
+       "Hilda             179\n",
+       "Apollo             74\n",
+       "Amor               53\n",
+       "Aten                4\n",
+       "KBO                 2\n",
+       "Name: class_alt, dtype: int64"
+      ]
+     },
+     "execution_count": 86,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "bft_first_night = merge_bft(first_night)\n",
+    "bft_first_night[\"class_alt\"].value_counts()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 87,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "48758    24532\n",
+       "48769    24638\n",
+       "Name: trajectory_id, dtype: int64"
+      ]
+     },
+     "execution_count": 87,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "bft_first_night[bft_first_night[\"class_alt\"] == \"KBO\"][\"trajectory_id\"]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 88,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "first_kbo_assoc = bft_first_night[bft_first_night[\"trajectory_id\"] == 24532]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 89,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "coord_first_kbo = SkyCoord(first_kbo_assoc[\"ra\"].values, first_kbo_assoc[\"dec\"].values, unit=\"deg\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 90,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/latex": [
+       "$0^\\circ21{}^\\prime15.2665{}^{\\prime\\prime}$"
+      ],
+      "text/plain": [
+       "<Angle 0.3542407 deg>"
+      ]
+     },
+     "execution_count": 90,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "coord_first_kbo[0].separation(coord_first_kbo[1])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 91,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "path_save_ff = \"../../save_ff_output_kbo_neo_issue/*\""
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 92,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "../../save_ff_output_kbo_neo_issue/2020-09-01\n",
+      "Empty DataFrame\n",
+      "Columns: [sso_id, trajectory_id, assoc_tag, class_alt]\n",
+      "Index: []\n",
+      "\n",
+      "\n",
+      "../../save_ff_output_kbo_neo_issue/2020-09-02\n",
+      "Empty DataFrame\n",
+      "Columns: [sso_id, trajectory_id, assoc_tag, class_alt]\n",
+      "Index: []\n",
+      "\n",
+      "\n",
+      "../../save_ff_output_kbo_neo_issue/2020-09-03\n",
+      "Empty DataFrame\n",
+      "Columns: [sso_id, trajectory_id, assoc_tag, class_alt]\n",
+      "Index: []\n",
+      "\n",
+      "\n",
+      "../../save_ff_output_kbo_neo_issue/2020-09-04\n",
+      "         sso_id  trajectory_id assoc_tag class_alt\n",
+      "0  Nakanomakoto          24532         N        MB\n",
+      "2          Eris          24532         N       KBO\n",
+      "1     2000_AG87          24638         N        MB\n",
+      "3      1999_OX3          24638         N       KBO\n",
+      "\n",
+      "\n",
+      "../../save_ff_output_kbo_neo_issue/2020-09-05\n",
+      "         sso_id  trajectory_id assoc_tag class_alt\n",
+      "0  Nakanomakoto          24532         N        MB\n",
+      "1          Eris          24532         N       KBO\n",
+      "2     2000_AG87          24638         N        MB\n",
+      "3      1999_OX3          24638         N       KBO\n",
+      "\n",
+      "\n",
+      "../../save_ff_output_kbo_neo_issue/2020-09-06\n",
+      "         sso_id  trajectory_id assoc_tag class_alt\n",
+      "0  Nakanomakoto          24532         N        MB\n",
+      "1          Eris          24532         N       KBO\n",
+      "2     2000_AG87          24638         N        MB\n",
+      "3      1999_OX3          24638         N       KBO\n",
+      "\n",
+      "\n",
+      "../../save_ff_output_kbo_neo_issue/2020-09-07\n",
+      "         sso_id  trajectory_id assoc_tag class_alt\n",
+      "0  Nakanomakoto          24532         N        MB\n",
+      "1          Eris          24532         N       KBO\n",
+      "2     2000_AG87          24638         N        MB\n",
+      "3      1999_OX3          24638         N       KBO\n",
+      "\n",
+      "\n",
+      "../../save_ff_output_kbo_neo_issue/2020-09-08\n",
+      "         sso_id  trajectory_id assoc_tag class_alt\n",
+      "0  Nakanomakoto          24532         N        MB\n",
+      "1          Eris          24532         N       KBO\n",
+      "2     2000_AG87          24638         N        MB\n",
+      "3      1999_OX3          24638         N       KBO\n",
+      "\n",
+      "\n",
+      "../../save_ff_output_kbo_neo_issue/2020-09-09\n",
+      "         sso_id  trajectory_id assoc_tag class_alt\n",
+      "0  Nakanomakoto          24532         N        MB\n",
+      "1          Eris          24532         N       KBO\n",
+      "2     2000_AG87          24638         N        MB\n",
+      "3      1999_OX3          24638         N       KBO\n",
+      "\n",
+      "\n",
+      "../../save_ff_output_kbo_neo_issue/2020-09-10\n",
+      "          sso_id  trajectory_id assoc_tag class_alt\n",
+      "0   Nakanomakoto          22715         N        MB\n",
+      "1   Nakanomakoto          22715         N        MB\n",
+      "6           Eris          22715         A       KBO\n",
+      "2   Nakanomakoto          24532         N        MB\n",
+      "5           Eris          24532         N       KBO\n",
+      "7           Eris          24532         A       KBO\n",
+      "3   Nakanomakoto          24533         N        MB\n",
+      "4   Nakanomakoto          24533         N        MB\n",
+      "8           Eris          24533         A       KBO\n",
+      "9      2000_AG87          24638         N        MB\n",
+      "18       Charton          24638         A        MB\n",
+      "13      1999_OX3          24638         N       KBO\n",
+      "17       Charton          29285         A        MB\n",
+      "14      1999_OX3          29285         N       KBO\n",
+      "10     2000_AG87          29285         N        MB\n",
+      "15      1999_OX3          29286         N       KBO\n",
+      "11     2000_AG87          29286         N        MB\n",
+      "19     1999_TS63          29286         A        MB\n",
+      "16      1999_OX3          29287         N       KBO\n",
+      "12     2000_AG87          29287         N        MB\n",
+      "20     2001_OO58          29287         A        MB\n",
+      "\n",
+      "\n",
+      "../../save_ff_output_kbo_neo_issue/2020-09-11\n",
+      "          sso_id  trajectory_id assoc_tag class_alt\n",
+      "0   Nakanomakoto          22715         N        MB\n",
+      "1   Nakanomakoto          22715         N        MB\n",
+      "6           Eris          22715         A       KBO\n",
+      "2   Nakanomakoto          24532         N        MB\n",
+      "5           Eris          24532         N       KBO\n",
+      "7           Eris          24532         A       KBO\n",
+      "3   Nakanomakoto          24533         N        MB\n",
+      "4   Nakanomakoto          24533         N        MB\n",
+      "8           Eris          24533         A       KBO\n",
+      "9      2000_AG87          24638         N        MB\n",
+      "18       Charton          24638         A        MB\n",
+      "13      1999_OX3          24638         N       KBO\n",
+      "17       Charton          29285         A        MB\n",
+      "14      1999_OX3          29285         N       KBO\n",
+      "10     2000_AG87          29285         N        MB\n",
+      "15      1999_OX3          29286         N       KBO\n",
+      "11     2000_AG87          29286         N        MB\n",
+      "19     1999_TS63          29286         A        MB\n",
+      "16      1999_OX3          29287         N       KBO\n",
+      "12     2000_AG87          29287         N        MB\n",
+      "20     2001_OO58          29287         A        MB\n",
+      "\n",
+      "\n",
+      "../../save_ff_output_kbo_neo_issue/2020-09-12\n",
+      "          sso_id  trajectory_id assoc_tag class_alt\n",
+      "0   Nakanomakoto          22715         N        MB\n",
+      "1   Nakanomakoto          22715         N        MB\n",
+      "5           Eris          22715         A       KBO\n",
+      "2   Nakanomakoto          24532         N        MB\n",
+      "6           Eris          24532         N       KBO\n",
+      "7           Eris          24532         A       KBO\n",
+      "9           Eris          24532         A       KBO\n",
+      "3   Nakanomakoto          24533         N        MB\n",
+      "4   Nakanomakoto          24533         N        MB\n",
+      "8           Eris          24533         A       KBO\n",
+      "10     2000_AG87          24638         N        MB\n",
+      "18       Charton          24638         A        MB\n",
+      "14      1999_OX3          24638         N       KBO\n",
+      "19       Charton          29285         A        MB\n",
+      "15      1999_OX3          29285         N       KBO\n",
+      "11     2000_AG87          29285         N        MB\n",
+      "16      1999_OX3          29286         N       KBO\n",
+      "12     2000_AG87          29286         N        MB\n",
+      "21     1999_TS63          29286         A        MB\n",
+      "20     1999_TS63          29286         A        MB\n",
+      "17      1999_OX3          29287         N       KBO\n",
+      "13     2000_AG87          29287         N        MB\n",
+      "22     2001_OO58          29287         A        MB\n",
+      "\n",
+      "\n",
+      "../../save_ff_output_kbo_neo_issue/2020-09-13\n",
+      "          sso_id  trajectory_id assoc_tag class_alt\n",
+      "0   Nakanomakoto          22715         N        MB\n",
+      "1   Nakanomakoto          22715         N        MB\n",
+      "5           Eris          22715         A       KBO\n",
+      "2   Nakanomakoto          24532         N        MB\n",
+      "6           Eris          24532         N       KBO\n",
+      "7           Eris          24532         A       KBO\n",
+      "9           Eris          24532         A       KBO\n",
+      "3   Nakanomakoto          24533         N        MB\n",
+      "4   Nakanomakoto          24533         N        MB\n",
+      "8           Eris          24533         A       KBO\n",
+      "10     2000_AG87          24638         N        MB\n",
+      "18       Charton          24638         A        MB\n",
+      "14      1999_OX3          24638         N       KBO\n",
+      "19       Charton          29285         A        MB\n",
+      "15      1999_OX3          29285         N       KBO\n",
+      "11     2000_AG87          29285         N        MB\n",
+      "16      1999_OX3          29286         N       KBO\n",
+      "12     2000_AG87          29286         N        MB\n",
+      "21     1999_TS63          29286         A        MB\n",
+      "20     1999_TS63          29286         A        MB\n",
+      "17      1999_OX3          29287         N       KBO\n",
+      "13     2000_AG87          29287         N        MB\n",
+      "22     2001_OO58          29287         A        MB\n",
+      "\n",
+      "\n",
+      "../../save_ff_output_kbo_neo_issue/2020-09-14\n",
+      "          sso_id  trajectory_id assoc_tag class_alt\n",
+      "0   Nakanomakoto          22715         N        MB\n",
+      "1   Nakanomakoto          22715         N        MB\n",
+      "5           Eris          22715         A       KBO\n",
+      "2   Nakanomakoto          24532         N        MB\n",
+      "6           Eris          24532         N       KBO\n",
+      "7           Eris          24532         A       KBO\n",
+      "8           Eris          24532         A       KBO\n",
+      "3   Nakanomakoto          24533         N        MB\n",
+      "4   Nakanomakoto          24533         N        MB\n",
+      "9           Eris          24533         A       KBO\n",
+      "10     2000_AG87          24638         N        MB\n",
+      "32       Charton          24638         A        MB\n",
+      "26       Charton          24638         A        MB\n",
+      "17      1999_OX3          24638         N       KBO\n",
+      "27       Charton          29285         A        MB\n",
+      "18      1999_OX3          29285         N       KBO\n",
+      "44    1999_VK108          29285         A        MB\n",
+      "11     2000_AG87          29285         N        MB\n",
+      "12     2000_AG87          29286         N        MB\n",
+      "19      1999_OX3          29286         N       KBO\n",
+      "34     1999_TS63          29286         A        MB\n",
+      "33     1999_TS63          29286         A        MB\n",
+      "20      1999_OX3          29287         N       KBO\n",
+      "35     2001_OO58          29287         A        MB\n",
+      "13     2000_AG87          29287         N        MB\n",
+      "14     2000_AG87          48190         N        MB\n",
+      "21      1999_OX3          48190         N       KBO\n",
+      "36     2001_OO58          48190         A        MB\n",
+      "28       Charton          48190         A        MB\n",
+      "39      4066_P-L          48353         N        MB\n",
+      "38      4066_P-L          48353         N        MB\n",
+      "24      1999_OX3          48353         A       KBO\n",
+      "42     2002_PN38          48353         A        MB\n",
+      "41      4066_P-L          48356         N        MB\n",
+      "25      1999_OX3          48356         A       KBO\n",
+      "43     2002_OU20          48356         A        MB\n",
+      "40      4066_P-L          48356         N        MB\n",
+      "15     2000_AG87          48396         N        MB\n",
+      "22      1999_OX3          48396         N       KBO\n",
+      "31       Charton          48396         A        MB\n",
+      "29       Charton          48396         A        MB\n",
+      "16     2000_AG87          48397         N        MB\n",
+      "23      1999_OX3          48397         N       KBO\n",
+      "37     2001_OO58          48397         A        MB\n",
+      "30       Charton          48397         A        MB\n",
+      "\n",
+      "\n",
+      "../../save_ff_output_kbo_neo_issue/2020-09-15\n",
+      "          sso_id  trajectory_id assoc_tag class_alt\n",
+      "0   Nakanomakoto          22715         N        MB\n",
+      "1   Nakanomakoto          22715         N        MB\n",
+      "4           Eris          22715         A       KBO\n",
+      "43      1999_GE6          22715         T        MB\n",
+      "42      1999_GE6          22715         T        MB\n",
+      "2   Nakanomakoto          24533         N        MB\n",
+      "3   Nakanomakoto          24533         N        MB\n",
+      "5           Eris          24533         A       KBO\n",
+      "45      1999_GE6          24533         T        MB\n",
+      "44      1999_GE6          24533         T        MB\n",
+      "22       Charton          24638         A        MB\n",
+      "13      1999_OX3          24638         N       KBO\n",
+      "23       Charton          24638         A        MB\n",
+      "6      2000_AG87          24638         N        MB\n",
+      "14      1999_OX3          29285         N       KBO\n",
+      "7      2000_AG87          29285         N        MB\n",
+      "24       Charton          29285         A        MB\n",
+      "29    1999_VK108          29285         A        MB\n",
+      "30     1999_TS63          29286         A        MB\n",
+      "15      1999_OX3          29286         N       KBO\n",
+      "8      2000_AG87          29286         N        MB\n",
+      "31     1999_TS63          29286         A        MB\n",
+      "16      1999_OX3          29287         N       KBO\n",
+      "33     2001_OO58          29287         A        MB\n",
+      "32     1999_TS63          29287         A        MB\n",
+      "9      2000_AG87          29287         N        MB\n",
+      "34     2001_OO58          48190         A        MB\n",
+      "25       Charton          48190         A        MB\n",
+      "10     2000_AG87          48190         N        MB\n",
+      "17      1999_OX3          48190         N       KBO\n",
+      "40     2002_PN38          48353         A        MB\n",
+      "36      4066_P-L          48353         N        MB\n",
+      "46    2001_QU244          48353         A        MB\n",
+      "18      1999_OX3          48353         A       KBO\n",
+      "37      4066_P-L          48353         N        MB\n",
+      "39      4066_P-L          48356         N        MB\n",
+      "38      4066_P-L          48356         N        MB\n",
+      "41     2002_OU20          48356         A        MB\n",
+      "47    2001_QU244          48356         A        MB\n",
+      "19      1999_OX3          48356         A       KBO\n",
+      "27       Charton          48396         A        MB\n",
+      "26       Charton          48396         A        MB\n",
+      "20      1999_OX3          48396         N       KBO\n",
+      "11     2000_AG87          48396         N        MB\n",
+      "12     2000_AG87          48397         N        MB\n",
+      "28       Charton          48397         A        MB\n",
+      "21      1999_OX3          48397         N       KBO\n",
+      "35     2001_OO58          48397         A        MB\n",
+      "\n",
+      "\n",
+      "../../save_ff_output_kbo_neo_issue/2020-09-16\n",
+      "          sso_id  trajectory_id assoc_tag class_alt\n",
+      "0   Nakanomakoto          22715         N        MB\n",
+      "1   Nakanomakoto          22715         N        MB\n",
+      "4           Eris          22715         A       KBO\n",
+      "43      1999_GE6          22715         T        MB\n",
+      "42      1999_GE6          22715         T        MB\n",
+      "2   Nakanomakoto          24533         N        MB\n",
+      "3   Nakanomakoto          24533         N        MB\n",
+      "5           Eris          24533         A       KBO\n",
+      "45      1999_GE6          24533         T        MB\n",
+      "44      1999_GE6          24533         T        MB\n",
+      "22       Charton          24638         A        MB\n",
+      "13      1999_OX3          24638         N       KBO\n",
+      "23       Charton          24638         A        MB\n",
+      "6      2000_AG87          24638         N        MB\n",
+      "14      1999_OX3          29285         N       KBO\n",
+      "7      2000_AG87          29285         N        MB\n",
+      "24       Charton          29285         A        MB\n",
+      "29    1999_VK108          29285         A        MB\n",
+      "30     1999_TS63          29286         A        MB\n",
+      "15      1999_OX3          29286         N       KBO\n",
+      "8      2000_AG87          29286         N        MB\n",
+      "31     1999_TS63          29286         A        MB\n",
+      "16      1999_OX3          29287         N       KBO\n",
+      "33     2001_OO58          29287         A        MB\n",
+      "32     1999_TS63          29287         A        MB\n",
+      "9      2000_AG87          29287         N        MB\n",
+      "34     2001_OO58          48190         A        MB\n",
+      "25       Charton          48190         A        MB\n",
+      "10     2000_AG87          48190         N        MB\n",
+      "17      1999_OX3          48190         N       KBO\n",
+      "40     2002_PN38          48353         A        MB\n",
+      "36      4066_P-L          48353         N        MB\n",
+      "46    2001_QU244          48353         A        MB\n",
+      "18      1999_OX3          48353         A       KBO\n",
+      "37      4066_P-L          48353         N        MB\n",
+      "39      4066_P-L          48356         N        MB\n",
+      "38      4066_P-L          48356         N        MB\n",
+      "41     2002_OU20          48356         A        MB\n",
+      "47    2001_QU244          48356         A        MB\n",
+      "19      1999_OX3          48356         A       KBO\n",
+      "27       Charton          48396         A        MB\n",
+      "26       Charton          48396         A        MB\n",
+      "20      1999_OX3          48396         N       KBO\n",
+      "11     2000_AG87          48396         N        MB\n",
+      "12     2000_AG87          48397         N        MB\n",
+      "28       Charton          48397         A        MB\n",
+      "21      1999_OX3          48397         N       KBO\n",
+      "35     2001_OO58          48397         A        MB\n",
+      "\n",
+      "\n",
+      "../../save_ff_output_kbo_neo_issue/2020-09-17\n",
+      "          sso_id  trajectory_id assoc_tag class_alt\n",
+      "0   Nakanomakoto          22715         N        MB\n",
+      "1   Nakanomakoto          22715         N        MB\n",
+      "4           Eris          22715         A       KBO\n",
+      "6       1999_GE6          22715         T        MB\n",
+      "7       1999_GE6          22715         T        MB\n",
+      "2   Nakanomakoto          24533         N        MB\n",
+      "3   Nakanomakoto          24533         N        MB\n",
+      "5           Eris          24533         A       KBO\n",
+      "8       1999_GE6          24533         T        MB\n",
+      "9       1999_GE6          24533         T        MB\n",
+      "23    1999_VK108          29285         A        MB\n",
+      "20    1999_VK108          29285         A        MB\n",
+      "13      1999_OX3          29285         N       KBO\n",
+      "18       Charton          29285         A        MB\n",
+      "10     2000_AG87          29285         N        MB\n",
+      "14      1999_OX3          29286         N       KBO\n",
+      "34     2000_GZ39          29286         A        MB\n",
+      "24     1999_TS63          29286         A        MB\n",
+      "11     2000_AG87          29286         N        MB\n",
+      "25     1999_TS63          29286         A        MB\n",
+      "26      4066_P-L          48353         N        MB\n",
+      "27      4066_P-L          48353         N        MB\n",
+      "30     2002_PN38          48353         A        MB\n",
+      "31    2001_QU244          48353         A        MB\n",
+      "15      1999_OX3          48353         A       KBO\n",
+      "28      4066_P-L          48356         N        MB\n",
+      "16      1999_OX3          48356         A       KBO\n",
+      "29      4066_P-L          48356         N        MB\n",
+      "32    2001_QU244          48356         A        MB\n",
+      "33     2002_OU20          48356         A        MB\n",
+      "21    1999_VK108          86980         A        MB\n",
+      "22    1999_VK108          86980         A        MB\n",
+      "17      1999_OX3          86980         N       KBO\n",
+      "12     2000_AG87          86980         N        MB\n",
+      "19       Charton          86980         A        MB\n",
+      "35    2002_TX300          95725         N       KBO\n",
+      "36    2002_TX300          95725         N       KBO\n",
+      "\n",
+      "\n"
+     ]
+    }
+   ],
+   "source": [
+    "for path in np.sort(glob.glob(path_save_ff)):\n",
+    "    print(path)\n",
+    "    pdf_night = pd.read_parquet(f\"{path}/trajectory_df.parquet\")\n",
+    "    kbo_first_night_assoc = pdf_night[pdf_night[\"trajectory_id\"].isin(pdf_night[pdf_night[\"ssnamenr\"].isin(kbo_name)][\"trajectory_id\"])]\n",
+    "    print(merge_bft(kbo_first_night_assoc).sort_values(\"trajectory_id\")[[\"sso_id\", \"trajectory_id\", \"assoc_tag\", \"class_alt\"]])\n",
+    "    print()\n",
+    "    print()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# NEO analysis"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 93,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/home/roman/anaconda3/envs/fink_fat_env/lib/python3.7/site-packages/ipykernel_launcher.py:4: SettingWithCopyWarning: \n",
+      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
+      "Try using .loc[row_indexer,col_indexer] = value instead\n",
+      "\n",
+      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
+      "  after removing the cwd from sys.path.\n"
+     ]
+    }
+   ],
+   "source": [
+    "neo_class = [\"Apollo\", \"Amor\", \"Aten\"]\n",
+    "\n",
+    "neo_class = exp_with_bft[exp_with_bft[\"class_alt\"].isin(neo_class)]\n",
+    "neo_class[\"iso_time\"] = Time(neo_class[\"jd\"], format=\"jd\").iso"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 94,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "neo_names = neo_class[\"ssnamenr\"].unique()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 95,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "array(['2020-09-01 10:40:07.003', '2020-09-01 04:09:45.000',\n",
+       "       '2020-09-17 12:03:25.001', '2020-09-02 05:29:10.003',\n",
+       "       '2020-09-20 09:03:37.002', '2020-09-16 09:23:20.000',\n",
+       "       '2020-09-15 10:10:57.999', '2020-09-01 09:16:10.998',\n",
+       "       '2020-09-20 09:58:17.999', '2020-09-02 09:20:20.003',\n",
+       "       '2020-09-02 09:27:08.001', '2020-09-01 09:20:59.997',\n",
+       "       '2020-09-17 09:16:56.004', '2020-09-15 10:28:05.002',\n",
+       "       '2020-09-18 11:40:40.996', '2020-09-15 07:04:30.996',\n",
+       "       '2020-09-19 09:07:05.002', '2020-09-01 08:59:11.996',\n",
+       "       '2020-09-15 10:19:49.999', '2020-09-18 08:04:10.998',\n",
+       "       '2020-09-03 03:26:37.000', '2020-09-01 09:16:10.998',\n",
+       "       '2020-09-03 10:06:06.002', '2020-09-17 07:40:58.999',\n",
+       "       '2020-09-15 10:14:25.999', '2020-09-03 10:15:02.002',\n",
+       "       '2020-09-16 11:07:38.004', '2020-09-12 09:28:30.003',\n",
+       "       '2020-09-01 08:38:38.999', '2020-09-12 09:29:09.997',\n",
+       "       '2020-09-04 03:51:05.999', '2020-09-01 11:06:39.001',\n",
+       "       '2020-09-05 06:32:51.000', '2020-09-02 10:48:55.002',\n",
+       "       '2020-09-04 09:36:18.999', '2020-09-16 11:50:49.001',\n",
+       "       '2020-09-01 08:46:55.004', '2020-09-16 11:44:43.996',\n",
+       "       '2020-09-16 09:17:46.003', '2020-09-21 08:08:44.998',\n",
+       "       '2020-09-16 11:20:26.998', '2020-09-19 12:02:13.004',\n",
+       "       '2020-09-02 08:17:09.004', '2020-09-10 09:42:51.998',\n",
+       "       '2020-09-16 11:24:29.998', '2020-09-14 08:54:23.999',\n",
+       "       '2020-09-15 07:12:04.000', '2020-09-02 03:46:29.001',\n",
+       "       '2020-09-14 09:07:10.998', '2020-09-02 10:40:08.999',\n",
+       "       '2020-09-16 11:09:38.998', '2020-09-16 11:10:59.998',\n",
+       "       '2020-09-01 09:40:43.003', '2020-09-14 08:55:47.997',\n",
+       "       '2020-09-01 11:42:36.996', '2020-09-15 07:03:51.002',\n",
+       "       '2020-09-02 09:13:35.996', '2020-09-01 11:15:28.002',\n",
+       "       '2020-09-16 11:38:40.001', '2020-09-01 09:21:41.996',\n",
+       "       '2020-09-01 11:07:19.998', '2020-09-01 11:39:11.002',\n",
+       "       '2020-09-01 09:12:07.998', '2020-09-14 08:57:55.999',\n",
+       "       '2020-09-03 10:15:41.996', '2020-09-15 07:04:30.996',\n",
+       "       '2020-09-16 11:43:22.996', '2020-09-01 10:31:53.996',\n",
+       "       '2020-09-18 06:35:07.996', '2020-09-04 09:56:01.997',\n",
+       "       '2020-09-01 11:24:59.003', '2020-09-01 09:09:27.000',\n",
+       "       '2020-09-03 10:20:26.002', '2020-09-01 11:37:08.996',\n",
+       "       '2020-09-02 09:11:16.002', '2020-09-02 05:19:01.004',\n",
+       "       '2020-09-12 09:31:16.003', '2020-09-14 08:04:21.996',\n",
+       "       '2020-09-02 10:48:55.002', '2020-09-12 10:21:44.997',\n",
+       "       '2020-09-16 11:47:25.996', '2020-09-03 06:57:37.996',\n",
+       "       '2020-09-02 10:40:08.999', '2020-09-17 11:57:00.996',\n",
+       "       '2020-09-02 10:34:43.997', '2020-09-12 09:23:06.003',\n",
+       "       '2020-09-20 12:04:47.997', '2020-09-02 09:09:09.996'], dtype='<U23')"
+      ]
+     },
+     "execution_count": 95,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "Time(neo_class.sort_values(\"jd\").groupby(\"ssnamenr\").agg(\n",
+    "    first_jd=(\"jd\", lambda x: list(x)[0])\n",
+    ")[\"first_jd\"], format=\"jd\").iso"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 96,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "../../save_ff_output_kbo_neo_issue/2020-09-01\n",
+      "../../save_ff_output_kbo_neo_issue/2020-09-02\n",
+      "../../save_ff_output_kbo_neo_issue/2020-09-03\n",
+      "../../save_ff_output_kbo_neo_issue/2020-09-04\n",
+      "../../save_ff_output_kbo_neo_issue/2020-09-05\n",
+      "../../save_ff_output_kbo_neo_issue/2020-09-06\n",
+      "../../save_ff_output_kbo_neo_issue/2020-09-07\n",
+      "../../save_ff_output_kbo_neo_issue/2020-09-08\n",
+      "../../save_ff_output_kbo_neo_issue/2020-09-09\n",
+      "../../save_ff_output_kbo_neo_issue/2020-09-10\n",
+      "../../save_ff_output_kbo_neo_issue/2020-09-11\n",
+      "../../save_ff_output_kbo_neo_issue/2020-09-12\n",
+      "../../save_ff_output_kbo_neo_issue/2020-09-13\n",
+      "../../save_ff_output_kbo_neo_issue/2020-09-14\n",
+      "../../save_ff_output_kbo_neo_issue/2020-09-15\n",
+      "../../save_ff_output_kbo_neo_issue/2020-09-16\n",
+      "../../save_ff_output_kbo_neo_issue/2020-09-17\n"
+     ]
+    }
+   ],
+   "source": [
+    "for path in np.sort(glob.glob(path_save_ff)):\n",
+    "    print(path)\n",
+    "    pdf_night = pd.read_parquet(f\"{path}/trajectory_df.parquet\")\n",
+    "    neo_first_night_assoc = pdf_night[pdf_night[\"trajectory_id\"].isin(pdf_night[pdf_night[\"ssnamenr\"].isin(neo_names)][\"trajectory_id\"])]\n",
+    "    m = merge_bft(neo_first_night_assoc).sort_values(\"trajectory_id\")[[\"sso_id\", \"trajectory_id\", \"assoc_tag\", \"class_alt\", \"jd\"]]\n",
+    "    m.sort_values(\"jd\").groupby(\"sso_id\").agg(\n",
+    "        traj_ids=(\"trajectory_id\", \"unique\"),\n",
+    "        diff_jd=(\"jd\", lambda x: list(np.diff(x))),\n",
+    "        tags=(\"assoc_tag\", list),\n",
+    "        nb_point=(\"trajectory_id\", len)\n",
+    "    ).style.format(precision=2)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 97,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<style type=\"text/css\">\n",
+       "</style>\n",
+       "<table id=\"T_e3d98_\">\n",
+       "  <thead>\n",
+       "    <tr>\n",
+       "      <th class=\"blank level0\" >&nbsp;</th>\n",
+       "      <th class=\"col_heading level0 col0\" >traj_ids</th>\n",
+       "      <th class=\"col_heading level0 col1\" >diff_jd</th>\n",
+       "      <th class=\"col_heading level0 col2\" >tags</th>\n",
+       "      <th class=\"col_heading level0 col3\" >nb_point</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th class=\"index_name level0\" >sso_id</th>\n",
+       "      <th class=\"blank col0\" >&nbsp;</th>\n",
+       "      <th class=\"blank col1\" >&nbsp;</th>\n",
+       "      <th class=\"blank col2\" >&nbsp;</th>\n",
+       "      <th class=\"blank col3\" >&nbsp;</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th id=\"T_e3d98_level0_row0\" class=\"row_heading level0 row0\" >1978_UW4</th>\n",
+       "      <td id=\"T_e3d98_row0_col0\" class=\"data row0 col0\" >[19575 67276]</td>\n",
+       "      <td id=\"T_e3d98_row0_col1\" class=\"data row0 col1\" >[0.0, 0.1192013998515904, 0.0]</td>\n",
+       "      <td id=\"T_e3d98_row0_col2\" class=\"data row0 col2\" >['I', 'I', 'I', 'I']</td>\n",
+       "      <td id=\"T_e3d98_row0_col3\" class=\"data row0 col3\" >4</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_e3d98_level0_row1\" class=\"row_heading level0 row1\" >1981_EA5</th>\n",
+       "      <td id=\"T_e3d98_row1_col0\" class=\"data row1 col0\" >[93100]</td>\n",
+       "      <td id=\"T_e3d98_row1_col1\" class=\"data row1 col1\" >[]</td>\n",
+       "      <td id=\"T_e3d98_row1_col2\" class=\"data row1 col2\" >['N']</td>\n",
+       "      <td id=\"T_e3d98_row1_col3\" class=\"data row1 col3\" >1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_e3d98_level0_row2\" class=\"row_heading level0 row2\" >1981_ED43</th>\n",
+       "      <td id=\"T_e3d98_row2_col0\" class=\"data row2 col0\" >[12998]</td>\n",
+       "      <td id=\"T_e3d98_row2_col1\" class=\"data row2 col1\" >[]</td>\n",
+       "      <td id=\"T_e3d98_row2_col2\" class=\"data row2 col2\" >['A']</td>\n",
+       "      <td id=\"T_e3d98_row2_col3\" class=\"data row2 col3\" >1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_e3d98_level0_row3\" class=\"row_heading level0 row3\" >1990_MF</th>\n",
+       "      <td id=\"T_e3d98_row3_col0\" class=\"data row3 col0\" >[22411 42220 93100 90149 90151]</td>\n",
+       "      <td id=\"T_e3d98_row3_col1\" class=\"data row3 col1\" >[9.90163189964369, 0.08888890035450459, 0.9283912000246346, 0.0, 1.9438310000114143, 0.0]</td>\n",
+       "      <td id=\"T_e3d98_row3_col2\" class=\"data row3 col2\" >['N', 'I', 'I', 'N', 'N', 'N', 'N']</td>\n",
+       "      <td id=\"T_e3d98_row3_col3\" class=\"data row3 col3\" >7</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_e3d98_level0_row4\" class=\"row_heading level0 row4\" >1990_MU</th>\n",
+       "      <td id=\"T_e3d98_row4_col0\" class=\"data row4 col0\" >[1577]</td>\n",
+       "      <td id=\"T_e3d98_row4_col1\" class=\"data row4 col1\" >[0.0424885000102222, 1.9832406998611987, 0.029374999925494194]</td>\n",
+       "      <td id=\"T_e3d98_row4_col2\" class=\"data row4 col2\" >['I', 'I', 'T', 'T']</td>\n",
+       "      <td id=\"T_e3d98_row4_col3\" class=\"data row4 col3\" >4</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_e3d98_level0_row5\" class=\"row_heading level0 row5\" >1990_SB</th>\n",
+       "      <td id=\"T_e3d98_row5_col0\" class=\"data row5 col0\" >[2651]</td>\n",
+       "      <td id=\"T_e3d98_row5_col1\" class=\"data row5 col1\" >[0.011307800188660622, 2.903113500215113, 0.10226849978789687]</td>\n",
+       "      <td id=\"T_e3d98_row5_col2\" class=\"data row5 col2\" >['I', 'I', 'T', 'T']</td>\n",
+       "      <td id=\"T_e3d98_row5_col3\" class=\"data row5 col3\" >4</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_e3d98_level0_row6\" class=\"row_heading level0 row6\" >1990_SL11</th>\n",
+       "      <td id=\"T_e3d98_row6_col0\" class=\"data row6 col0\" >[88064 26059 48907]</td>\n",
+       "      <td id=\"T_e3d98_row6_col1\" class=\"data row6 col1\" >[0.0, 1.96835649991408]</td>\n",
+       "      <td id=\"T_e3d98_row6_col2\" class=\"data row6 col2\" >['A', 'A', 'A']</td>\n",
+       "      <td id=\"T_e3d98_row6_col3\" class=\"data row6 col3\" >3</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_e3d98_level0_row7\" class=\"row_heading level0 row7\" >1991_EA1</th>\n",
+       "      <td id=\"T_e3d98_row7_col0\" class=\"data row7 col0\" >[66324]</td>\n",
+       "      <td id=\"T_e3d98_row7_col1\" class=\"data row7 col1\" >[0.04236110020428896]</td>\n",
+       "      <td id=\"T_e3d98_row7_col2\" class=\"data row7 col2\" >['T', 'T']</td>\n",
+       "      <td id=\"T_e3d98_row7_col3\" class=\"data row7 col3\" >2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_e3d98_level0_row8\" class=\"row_heading level0 row8\" >1992_PK1</th>\n",
+       "      <td id=\"T_e3d98_row8_col0\" class=\"data row8 col0\" >[26646]</td>\n",
+       "      <td id=\"T_e3d98_row8_col1\" class=\"data row8 col1\" >[]</td>\n",
+       "      <td id=\"T_e3d98_row8_col2\" class=\"data row8 col2\" >['N']</td>\n",
+       "      <td id=\"T_e3d98_row8_col3\" class=\"data row8 col3\" >1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_e3d98_level0_row9\" class=\"row_heading level0 row9\" >1992_PM2</th>\n",
+       "      <td id=\"T_e3d98_row9_col0\" class=\"data row9 col0\" >[23901]</td>\n",
+       "      <td id=\"T_e3d98_row9_col1\" class=\"data row9 col1\" >[]</td>\n",
+       "      <td id=\"T_e3d98_row9_col2\" class=\"data row9 col2\" >['N']</td>\n",
+       "      <td id=\"T_e3d98_row9_col3\" class=\"data row9 col3\" >1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_e3d98_level0_row10\" class=\"row_heading level0 row10\" >1992_PZ5</th>\n",
+       "      <td id=\"T_e3d98_row10_col0\" class=\"data row10 col0\" >[29023]</td>\n",
+       "      <td id=\"T_e3d98_row10_col1\" class=\"data row10 col1\" >[]</td>\n",
+       "      <td id=\"T_e3d98_row10_col2\" class=\"data row10 col2\" >['N']</td>\n",
+       "      <td id=\"T_e3d98_row10_col3\" class=\"data row10 col3\" >1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_e3d98_level0_row11\" class=\"row_heading level0 row11\" >1992_SK</th>\n",
+       "      <td id=\"T_e3d98_row11_col0\" class=\"data row11 col0\" >[48907 48904 88064 12998 48906 26059 48905 23901 23916 33571 26671]</td>\n",
+       "      <td id=\"T_e3d98_row11_col1\" class=\"data row11 col1\" >[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.9331017998047173, 0.0, 1.0625694999471307, 0.0]</td>\n",
+       "      <td id=\"T_e3d98_row11_col2\" class=\"data row11 col2\" >['N', 'N', 'N', 'N', 'N', 'N', 'N', 'N', 'N', 'N', 'N']</td>\n",
+       "      <td id=\"T_e3d98_row11_col3\" class=\"data row11 col3\" >11</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_e3d98_level0_row12\" class=\"row_heading level0 row12\" >1992_TB</th>\n",
+       "      <td id=\"T_e3d98_row12_col0\" class=\"data row12 col0\" >[50144 51546 51547 38737 96135 96134 96137 96136]</td>\n",
+       "      <td id=\"T_e3d98_row12_col1\" class=\"data row12 col1\" >[0.0, 0.0, 1.8914467999711633, 0.047893499955534935, 0.9772916999645531, 0.0, 0.0, 0.0]</td>\n",
+       "      <td id=\"T_e3d98_row12_col2\" class=\"data row12 col2\" >['N', 'N', 'N', 'I', 'I', 'N', 'N', 'N', 'N']</td>\n",
+       "      <td id=\"T_e3d98_row12_col3\" class=\"data row12 col3\" >9</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_e3d98_level0_row13\" class=\"row_heading level0 row13\" >1992_WO3</th>\n",
+       "      <td id=\"T_e3d98_row13_col0\" class=\"data row13 col0\" >[68698 26677]</td>\n",
+       "      <td id=\"T_e3d98_row13_col1\" class=\"data row13 col1\" >[0.0]</td>\n",
+       "      <td id=\"T_e3d98_row13_col2\" class=\"data row13 col2\" >['A', 'A']</td>\n",
+       "      <td id=\"T_e3d98_row13_col3\" class=\"data row13 col3\" >2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_e3d98_level0_row14\" class=\"row_heading level0 row14\" >1993_FL26</th>\n",
+       "      <td id=\"T_e3d98_row14_col0\" class=\"data row14 col0\" >[26059]</td>\n",
+       "      <td id=\"T_e3d98_row14_col1\" class=\"data row14 col1\" >[]</td>\n",
+       "      <td id=\"T_e3d98_row14_col2\" class=\"data row14 col2\" >['A']</td>\n",
+       "      <td id=\"T_e3d98_row14_col3\" class=\"data row14 col3\" >1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_e3d98_level0_row15\" class=\"row_heading level0 row15\" >1993_MF</th>\n",
+       "      <td id=\"T_e3d98_row15_col0\" class=\"data row15 col0\" >[36501 24817 88021 88022 24484 24490 20597 35154 20596 93147 93146 93140]</td>\n",
+       "      <td id=\"T_e3d98_row15_col1\" class=\"data row15 col1\" >[0.0, 0.0, 0.0, 8.01796289999038, 0.0, 0.0, 0.0, 0.0, 2.9009491000324488, 0.0, 2.0896642999723554, 0.0]</td>\n",
+       "      <td id=\"T_e3d98_row15_col2\" class=\"data row15 col2\" >['N', 'N', 'N', 'N', 'A', 'A', 'A', 'A', 'A', 'N', 'N', 'N', 'N']</td>\n",
+       "      <td id=\"T_e3d98_row15_col3\" class=\"data row15 col3\" >13</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_e3d98_level0_row16\" class=\"row_heading level0 row16\" >1993_MG1</th>\n",
+       "      <td id=\"T_e3d98_row16_col0\" class=\"data row16 col0\" >[ 2775 12073]</td>\n",
+       "      <td id=\"T_e3d98_row16_col1\" class=\"data row16 col1\" >[0.01284720003604889, 0.0121760000474751, 0.8992707999423146, 1.0313078998588026, 0.959340300410986, 0.0926966997794807]</td>\n",
+       "      <td id=\"T_e3d98_row16_col2\" class=\"data row16 col2\" >['I', 'I', 'I', 'N', 'N', 'A', 'A']</td>\n",
+       "      <td id=\"T_e3d98_row16_col3\" class=\"data row16 col3\" >7</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_e3d98_level0_row17\" class=\"row_heading level0 row17\" >1995_FY</th>\n",
+       "      <td id=\"T_e3d98_row17_col0\" class=\"data row17 col0\" >[23901]</td>\n",
+       "      <td id=\"T_e3d98_row17_col1\" class=\"data row17 col1\" >[]</td>\n",
+       "      <td id=\"T_e3d98_row17_col2\" class=\"data row17 col2\" >['A']</td>\n",
+       "      <td id=\"T_e3d98_row17_col3\" class=\"data row17 col3\" >1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_e3d98_level0_row18\" class=\"row_heading level0 row18\" >1995_YR1</th>\n",
+       "      <td id=\"T_e3d98_row18_col0\" class=\"data row18 col0\" >[51040 51021 97063 97069 90516]</td>\n",
+       "      <td id=\"T_e3d98_row18_col1\" class=\"data row18 col1\" >[0.0, 2.945057900156826, 0.0, 0.0738425999879837]</td>\n",
+       "      <td id=\"T_e3d98_row18_col2\" class=\"data row18 col2\" >['N', 'N', 'N', 'N', 'N']</td>\n",
+       "      <td id=\"T_e3d98_row18_col3\" class=\"data row18 col3\" >5</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_e3d98_level0_row19\" class=\"row_heading level0 row19\" >1997_UR9</th>\n",
+       "      <td id=\"T_e3d98_row19_col0\" class=\"data row19 col0\" >[24490]</td>\n",
+       "      <td id=\"T_e3d98_row19_col1\" class=\"data row19 col1\" >[]</td>\n",
+       "      <td id=\"T_e3d98_row19_col2\" class=\"data row19 col2\" >['A']</td>\n",
+       "      <td id=\"T_e3d98_row19_col3\" class=\"data row19 col3\" >1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_e3d98_level0_row20\" class=\"row_heading level0 row20\" >1997_WU22</th>\n",
+       "      <td id=\"T_e3d98_row20_col0\" class=\"data row20 col0\" >[ 2775 12073 62034]</td>\n",
+       "      <td id=\"T_e3d98_row20_col1\" class=\"data row20 col1\" >[0.0, 0.917060200124979, 0.023888899944722652]</td>\n",
+       "      <td id=\"T_e3d98_row20_col2\" class=\"data row20 col2\" >['A', 'A', 'I', 'I']</td>\n",
+       "      <td id=\"T_e3d98_row20_col3\" class=\"data row20 col3\" >4</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_e3d98_level0_row21\" class=\"row_heading level0 row21\" >1997_YC14</th>\n",
+       "      <td id=\"T_e3d98_row21_col0\" class=\"data row21 col0\" >[26627]</td>\n",
+       "      <td id=\"T_e3d98_row21_col1\" class=\"data row21 col1\" >[]</td>\n",
+       "      <td id=\"T_e3d98_row21_col2\" class=\"data row21 col2\" >['N']</td>\n",
+       "      <td id=\"T_e3d98_row21_col3\" class=\"data row21 col3\" >1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_e3d98_level0_row22\" class=\"row_heading level0 row22\" >1998_EP13</th>\n",
+       "      <td id=\"T_e3d98_row22_col0\" class=\"data row22 col0\" >[35154]</td>\n",
+       "      <td id=\"T_e3d98_row22_col1\" class=\"data row22 col1\" >[]</td>\n",
+       "      <td id=\"T_e3d98_row22_col2\" class=\"data row22 col2\" >['N']</td>\n",
+       "      <td id=\"T_e3d98_row22_col3\" class=\"data row22 col3\" >1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_e3d98_level0_row23\" class=\"row_heading level0 row23\" >1998_FC104</th>\n",
+       "      <td id=\"T_e3d98_row23_col0\" class=\"data row23 col0\" >[47249]</td>\n",
+       "      <td id=\"T_e3d98_row23_col1\" class=\"data row23 col1\" >[]</td>\n",
+       "      <td id=\"T_e3d98_row23_col2\" class=\"data row23 col2\" >['A']</td>\n",
+       "      <td id=\"T_e3d98_row23_col3\" class=\"data row23 col3\" >1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_e3d98_level0_row24\" class=\"row_heading level0 row24\" >1998_FH115</th>\n",
+       "      <td id=\"T_e3d98_row24_col0\" class=\"data row24 col0\" >[24817 88022]</td>\n",
+       "      <td id=\"T_e3d98_row24_col1\" class=\"data row24 col1\" >[0.07836810033768415]</td>\n",
+       "      <td id=\"T_e3d98_row24_col2\" class=\"data row24 col2\" >['A', 'A']</td>\n",
+       "      <td id=\"T_e3d98_row24_col3\" class=\"data row24 col3\" >2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_e3d98_level0_row25\" class=\"row_heading level0 row25\" >1998_OH</th>\n",
+       "      <td id=\"T_e3d98_row25_col0\" class=\"data row25 col0\" >[92876]</td>\n",
+       "      <td id=\"T_e3d98_row25_col1\" class=\"data row25 col1\" >[]</td>\n",
+       "      <td id=\"T_e3d98_row25_col2\" class=\"data row25 col2\" >['N']</td>\n",
+       "      <td id=\"T_e3d98_row25_col3\" class=\"data row25 col3\" >1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_e3d98_level0_row26\" class=\"row_heading level0 row26\" >1998_QG96</th>\n",
+       "      <td id=\"T_e3d98_row26_col0\" class=\"data row26 col0\" >[15913]</td>\n",
+       "      <td id=\"T_e3d98_row26_col1\" class=\"data row26 col1\" >[]</td>\n",
+       "      <td id=\"T_e3d98_row26_col2\" class=\"data row26 col2\" >['A']</td>\n",
+       "      <td id=\"T_e3d98_row26_col3\" class=\"data row26 col3\" >1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_e3d98_level0_row27\" class=\"row_heading level0 row27\" >1998_QH2</th>\n",
+       "      <td id=\"T_e3d98_row27_col0\" class=\"data row27 col0\" >[72052]</td>\n",
+       "      <td id=\"T_e3d98_row27_col1\" class=\"data row27 col1\" >[0.042199100367724895]</td>\n",
+       "      <td id=\"T_e3d98_row27_col2\" class=\"data row27 col2\" >['I', 'I']</td>\n",
+       "      <td id=\"T_e3d98_row27_col3\" class=\"data row27 col3\" >2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_e3d98_level0_row28\" class=\"row_heading level0 row28\" >1998_SB168</th>\n",
+       "      <td id=\"T_e3d98_row28_col0\" class=\"data row28 col0\" >[21741]</td>\n",
+       "      <td id=\"T_e3d98_row28_col1\" class=\"data row28 col1\" >[]</td>\n",
+       "      <td id=\"T_e3d98_row28_col2\" class=\"data row28 col2\" >['A']</td>\n",
+       "      <td id=\"T_e3d98_row28_col3\" class=\"data row28 col3\" >1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_e3d98_level0_row29\" class=\"row_heading level0 row29\" >1998_SY122</th>\n",
+       "      <td id=\"T_e3d98_row29_col0\" class=\"data row29 col0\" >[25098]</td>\n",
+       "      <td id=\"T_e3d98_row29_col1\" class=\"data row29 col1\" >[]</td>\n",
+       "      <td id=\"T_e3d98_row29_col2\" class=\"data row29 col2\" >['A']</td>\n",
+       "      <td id=\"T_e3d98_row29_col3\" class=\"data row29 col3\" >1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_e3d98_level0_row30\" class=\"row_heading level0 row30\" >1998_VG16</th>\n",
+       "      <td id=\"T_e3d98_row30_col0\" class=\"data row30 col0\" >[36824]</td>\n",
+       "      <td id=\"T_e3d98_row30_col1\" class=\"data row30 col1\" >[0.058703700080513954, 1.9428587998263538]</td>\n",
+       "      <td id=\"T_e3d98_row30_col2\" class=\"data row30 col2\" >['I', 'I', 'A']</td>\n",
+       "      <td id=\"T_e3d98_row30_col3\" class=\"data row30 col3\" >3</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_e3d98_level0_row31\" class=\"row_heading level0 row31\" >1998_VR12</th>\n",
+       "      <td id=\"T_e3d98_row31_col0\" class=\"data row31 col0\" >[23558]</td>\n",
+       "      <td id=\"T_e3d98_row31_col1\" class=\"data row31 col1\" >[]</td>\n",
+       "      <td id=\"T_e3d98_row31_col2\" class=\"data row31 col2\" >['N']</td>\n",
+       "      <td id=\"T_e3d98_row31_col3\" class=\"data row31 col3\" >1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_e3d98_level0_row32\" class=\"row_heading level0 row32\" >1998_VZ6</th>\n",
+       "      <td id=\"T_e3d98_row32_col0\" class=\"data row32 col0\" >[67528]</td>\n",
+       "      <td id=\"T_e3d98_row32_col1\" class=\"data row32 col1\" >[0.04236110020428896]</td>\n",
+       "      <td id=\"T_e3d98_row32_col2\" class=\"data row32 col2\" >['T', 'T']</td>\n",
+       "      <td id=\"T_e3d98_row32_col3\" class=\"data row32 col3\" >2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_e3d98_level0_row33\" class=\"row_heading level0 row33\" >1998_WB21</th>\n",
+       "      <td id=\"T_e3d98_row33_col0\" class=\"data row33 col0\" >[67810]</td>\n",
+       "      <td id=\"T_e3d98_row33_col1\" class=\"data row33 col1\" >[0.9578704000450671]</td>\n",
+       "      <td id=\"T_e3d98_row33_col2\" class=\"data row33 col2\" >['N', 'N']</td>\n",
+       "      <td id=\"T_e3d98_row33_col3\" class=\"data row33 col3\" >2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_e3d98_level0_row34\" class=\"row_heading level0 row34\" >1998_WL18</th>\n",
+       "      <td id=\"T_e3d98_row34_col0\" class=\"data row34 col0\" >[23567 22881]</td>\n",
+       "      <td id=\"T_e3d98_row34_col1\" class=\"data row34 col1\" >[0.0, 0.022673700004816055, 0.0, 1.974282399751246, 0.0]</td>\n",
+       "      <td id=\"T_e3d98_row34_col2\" class=\"data row34 col2\" >['T', 'T', 'T', 'T', 'A', 'A']</td>\n",
+       "      <td id=\"T_e3d98_row34_col3\" class=\"data row34 col3\" >6</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_e3d98_level0_row35\" class=\"row_heading level0 row35\" >1998_WQ5</th>\n",
+       "      <td id=\"T_e3d98_row35_col0\" class=\"data row35 col0\" >[39848]</td>\n",
+       "      <td id=\"T_e3d98_row35_col1\" class=\"data row35 col1\" >[0.024606399703770876, 0.011608800385147333]</td>\n",
+       "      <td id=\"T_e3d98_row35_col2\" class=\"data row35 col2\" >['I', 'I', 'I']</td>\n",
+       "      <td id=\"T_e3d98_row35_col3\" class=\"data row35 col3\" >3</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_e3d98_level0_row36\" class=\"row_heading level0 row36\" >1999_AP10</th>\n",
+       "      <td id=\"T_e3d98_row36_col0\" class=\"data row36 col0\" >[53037]</td>\n",
+       "      <td id=\"T_e3d98_row36_col1\" class=\"data row36 col1\" >[0.020555600058287382]</td>\n",
+       "      <td id=\"T_e3d98_row36_col2\" class=\"data row36 col2\" >['I', 'I']</td>\n",
+       "      <td id=\"T_e3d98_row36_col3\" class=\"data row36 col3\" >2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_e3d98_level0_row37\" class=\"row_heading level0 row37\" >1999_CJ19</th>\n",
+       "      <td id=\"T_e3d98_row37_col0\" class=\"data row37 col0\" >[90151]</td>\n",
+       "      <td id=\"T_e3d98_row37_col1\" class=\"data row37 col1\" >[]</td>\n",
+       "      <td id=\"T_e3d98_row37_col2\" class=\"data row37 col2\" >['N']</td>\n",
+       "      <td id=\"T_e3d98_row37_col3\" class=\"data row37 col3\" >1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_e3d98_level0_row38\" class=\"row_heading level0 row38\" >1999_GE7</th>\n",
+       "      <td id=\"T_e3d98_row38_col0\" class=\"data row38 col0\" >[24490]</td>\n",
+       "      <td id=\"T_e3d98_row38_col1\" class=\"data row38 col1\" >[]</td>\n",
+       "      <td id=\"T_e3d98_row38_col2\" class=\"data row38 col2\" >['N']</td>\n",
+       "      <td id=\"T_e3d98_row38_col3\" class=\"data row38 col3\" >1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_e3d98_level0_row39\" class=\"row_heading level0 row39\" >1999_GZ35</th>\n",
+       "      <td id=\"T_e3d98_row39_col0\" class=\"data row39 col0\" >[84198]</td>\n",
+       "      <td id=\"T_e3d98_row39_col1\" class=\"data row39 col1\" >[0.026238500140607357, 0.975509200245142]</td>\n",
+       "      <td id=\"T_e3d98_row39_col2\" class=\"data row39 col2\" >['I', 'I', 'A']</td>\n",
+       "      <td id=\"T_e3d98_row39_col3\" class=\"data row39 col3\" >3</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_e3d98_level0_row40\" class=\"row_heading level0 row40\" >1999_JJ134</th>\n",
+       "      <td id=\"T_e3d98_row40_col0\" class=\"data row40 col0\" >[19943]</td>\n",
+       "      <td id=\"T_e3d98_row40_col1\" class=\"data row40 col1\" >[0.115393599960953]</td>\n",
+       "      <td id=\"T_e3d98_row40_col2\" class=\"data row40 col2\" >['I', 'I']</td>\n",
+       "      <td id=\"T_e3d98_row40_col3\" class=\"data row40 col3\" >2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_e3d98_level0_row41\" class=\"row_heading level0 row41\" >1999_JJ20</th>\n",
+       "      <td id=\"T_e3d98_row41_col0\" class=\"data row41 col0\" >[46805]</td>\n",
+       "      <td id=\"T_e3d98_row41_col1\" class=\"data row41 col1\" >[0.1192013998515904]</td>\n",
+       "      <td id=\"T_e3d98_row41_col2\" class=\"data row41 col2\" >['I', 'I']</td>\n",
+       "      <td id=\"T_e3d98_row41_col3\" class=\"data row41 col3\" >2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_e3d98_level0_row42\" class=\"row_heading level0 row42\" >1999_JK60</th>\n",
+       "      <td id=\"T_e3d98_row42_col0\" class=\"data row42 col0\" >[23901]</td>\n",
+       "      <td id=\"T_e3d98_row42_col1\" class=\"data row42 col1\" >[]</td>\n",
+       "      <td id=\"T_e3d98_row42_col2\" class=\"data row42 col2\" >['A']</td>\n",
+       "      <td id=\"T_e3d98_row42_col3\" class=\"data row42 col3\" >1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_e3d98_level0_row43\" class=\"row_heading level0 row43\" >1999_JP22</th>\n",
+       "      <td id=\"T_e3d98_row43_col0\" class=\"data row43 col0\" >[23760]</td>\n",
+       "      <td id=\"T_e3d98_row43_col1\" class=\"data row43 col1\" >[]</td>\n",
+       "      <td id=\"T_e3d98_row43_col2\" class=\"data row43 col2\" >['A']</td>\n",
+       "      <td id=\"T_e3d98_row43_col3\" class=\"data row43 col3\" >1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_e3d98_level0_row44\" class=\"row_heading level0 row44\" >1999_OW3</th>\n",
+       "      <td id=\"T_e3d98_row44_col0\" class=\"data row44 col0\" >[35822 35821 35819 23568 47317 23567 47263 22881 35301 35303 35302 22882\n",
+       " 23571 23558 84197 84198]</td>\n",
+       "      <td id=\"T_e3d98_row44_col1\" class=\"data row44 col1\" >[0.0, 0.0, 0.0, 0.0, 0.0, 0.04171299980953336, 0.0, 0.0, 0.0, 0.0, 0.0, 1.9557407000102103, 0.0, 0.0, 11.011076400056481, 1.9832407999783754, 0.0, 0.03340280009433627, 0.0]</td>\n",
+       "      <td id=\"T_e3d98_row44_col2\" class=\"data row44 col2\" >['N', 'N', 'N', 'N', 'N', 'N', 'N', 'N', 'N', 'N', 'N', 'N', 'N', 'N', 'N', 'A', 'T', 'T', 'T', 'T']</td>\n",
+       "      <td id=\"T_e3d98_row44_col3\" class=\"data row44 col3\" >20</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_e3d98_level0_row45\" class=\"row_heading level0 row45\" >1999_RL22</th>\n",
+       "      <td id=\"T_e3d98_row45_col0\" class=\"data row45 col0\" >[48904]</td>\n",
+       "      <td id=\"T_e3d98_row45_col1\" class=\"data row45 col1\" >[]</td>\n",
+       "      <td id=\"T_e3d98_row45_col2\" class=\"data row45 col2\" >['A']</td>\n",
+       "      <td id=\"T_e3d98_row45_col3\" class=\"data row45 col3\" >1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_e3d98_level0_row46\" class=\"row_heading level0 row46\" >1999_RO88</th>\n",
+       "      <td id=\"T_e3d98_row46_col0\" class=\"data row46 col0\" >[29008]</td>\n",
+       "      <td id=\"T_e3d98_row46_col1\" class=\"data row46 col1\" >[]</td>\n",
+       "      <td id=\"T_e3d98_row46_col2\" class=\"data row46 col2\" >['A']</td>\n",
+       "      <td id=\"T_e3d98_row46_col3\" class=\"data row46 col3\" >1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_e3d98_level0_row47\" class=\"row_heading level0 row47\" >1999_RP225</th>\n",
+       "      <td id=\"T_e3d98_row47_col0\" class=\"data row47 col0\" >[67529]</td>\n",
+       "      <td id=\"T_e3d98_row47_col1\" class=\"data row47 col1\" >[0.04236110020428896]</td>\n",
+       "      <td id=\"T_e3d98_row47_col2\" class=\"data row47 col2\" >['T', 'T']</td>\n",
+       "      <td id=\"T_e3d98_row47_col3\" class=\"data row47 col3\" >2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_e3d98_level0_row48\" class=\"row_heading level0 row48\" >1999_RV156</th>\n",
+       "      <td id=\"T_e3d98_row48_col0\" class=\"data row48 col0\" >[88064]</td>\n",
+       "      <td id=\"T_e3d98_row48_col1\" class=\"data row48 col1\" >[]</td>\n",
+       "      <td id=\"T_e3d98_row48_col2\" class=\"data row48 col2\" >['A']</td>\n",
+       "      <td id=\"T_e3d98_row48_col3\" class=\"data row48 col3\" >1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_e3d98_level0_row49\" class=\"row_heading level0 row49\" >1999_RW191</th>\n",
+       "      <td id=\"T_e3d98_row49_col0\" class=\"data row49 col0\" >[19271]</td>\n",
+       "      <td id=\"T_e3d98_row49_col1\" class=\"data row49 col1\" >[]</td>\n",
+       "      <td id=\"T_e3d98_row49_col2\" class=\"data row49 col2\" >['I']</td>\n",
+       "      <td id=\"T_e3d98_row49_col3\" class=\"data row49 col3\" >1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_e3d98_level0_row50\" class=\"row_heading level0 row50\" >1999_RZ195</th>\n",
+       "      <td id=\"T_e3d98_row50_col0\" class=\"data row50 col0\" >[23916]</td>\n",
+       "      <td id=\"T_e3d98_row50_col1\" class=\"data row50 col1\" >[]</td>\n",
+       "      <td id=\"T_e3d98_row50_col2\" class=\"data row50 col2\" >['N']</td>\n",
+       "      <td id=\"T_e3d98_row50_col3\" class=\"data row50 col3\" >1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_e3d98_level0_row51\" class=\"row_heading level0 row51\" >1999_SP19</th>\n",
+       "      <td id=\"T_e3d98_row51_col0\" class=\"data row51 col0\" >[33571]</td>\n",
+       "      <td id=\"T_e3d98_row51_col1\" class=\"data row51 col1\" >[0.023831000085920095]</td>\n",
+       "      <td id=\"T_e3d98_row51_col2\" class=\"data row51 col2\" >['T', 'T']</td>\n",
+       "      <td id=\"T_e3d98_row51_col3\" class=\"data row51 col3\" >2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_e3d98_level0_row52\" class=\"row_heading level0 row52\" >1999_SW2</th>\n",
+       "      <td id=\"T_e3d98_row52_col0\" class=\"data row52 col0\" >[93146]</td>\n",
+       "      <td id=\"T_e3d98_row52_col1\" class=\"data row52 col1\" >[]</td>\n",
+       "      <td id=\"T_e3d98_row52_col2\" class=\"data row52 col2\" >['N']</td>\n",
+       "      <td id=\"T_e3d98_row52_col3\" class=\"data row52 col3\" >1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_e3d98_level0_row53\" class=\"row_heading level0 row53\" >1999_TA175</th>\n",
+       "      <td id=\"T_e3d98_row53_col0\" class=\"data row53 col0\" >[26677]</td>\n",
+       "      <td id=\"T_e3d98_row53_col1\" class=\"data row53 col1\" >[]</td>\n",
+       "      <td id=\"T_e3d98_row53_col2\" class=\"data row53 col2\" >['A']</td>\n",
+       "      <td id=\"T_e3d98_row53_col3\" class=\"data row53 col3\" >1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_e3d98_level0_row54\" class=\"row_heading level0 row54\" >1999_TM25</th>\n",
+       "      <td id=\"T_e3d98_row54_col0\" class=\"data row54 col0\" >[94439]</td>\n",
+       "      <td id=\"T_e3d98_row54_col1\" class=\"data row54 col1\" >[]</td>\n",
+       "      <td id=\"T_e3d98_row54_col2\" class=\"data row54 col2\" >['N']</td>\n",
+       "      <td id=\"T_e3d98_row54_col3\" class=\"data row54 col3\" >1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_e3d98_level0_row55\" class=\"row_heading level0 row55\" >1999_UH38</th>\n",
+       "      <td id=\"T_e3d98_row55_col0\" class=\"data row55 col0\" >[48906]</td>\n",
+       "      <td id=\"T_e3d98_row55_col1\" class=\"data row55 col1\" >[]</td>\n",
+       "      <td id=\"T_e3d98_row55_col2\" class=\"data row55 col2\" >['A']</td>\n",
+       "      <td id=\"T_e3d98_row55_col3\" class=\"data row55 col3\" >1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_e3d98_level0_row56\" class=\"row_heading level0 row56\" >1999_UO4</th>\n",
+       "      <td id=\"T_e3d98_row56_col0\" class=\"data row56 col0\" >[47250 35217 47249]</td>\n",
+       "      <td id=\"T_e3d98_row56_col1\" class=\"data row56 col1\" >[0.0, 0.0]</td>\n",
+       "      <td id=\"T_e3d98_row56_col2\" class=\"data row56 col2\" >['N', 'N', 'N']</td>\n",
+       "      <td id=\"T_e3d98_row56_col3\" class=\"data row56 col3\" >3</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_e3d98_level0_row57\" class=\"row_heading level0 row57\" >1999_VF7</th>\n",
+       "      <td id=\"T_e3d98_row57_col0\" class=\"data row57 col0\" >[23558]</td>\n",
+       "      <td id=\"T_e3d98_row57_col1\" class=\"data row57 col1\" >[]</td>\n",
+       "      <td id=\"T_e3d98_row57_col2\" class=\"data row57 col2\" >['N']</td>\n",
+       "      <td id=\"T_e3d98_row57_col3\" class=\"data row57 col3\" >1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_e3d98_level0_row58\" class=\"row_heading level0 row58\" >1999_VG83</th>\n",
+       "      <td id=\"T_e3d98_row58_col0\" class=\"data row58 col0\" >[36031 23913]</td>\n",
+       "      <td id=\"T_e3d98_row58_col1\" class=\"data row58 col1\" >[2.0298494999296963]</td>\n",
+       "      <td id=\"T_e3d98_row58_col2\" class=\"data row58 col2\" >['A', 'A']</td>\n",
+       "      <td id=\"T_e3d98_row58_col3\" class=\"data row58 col3\" >2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_e3d98_level0_row59\" class=\"row_heading level0 row59\" >1999_VW18</th>\n",
+       "      <td id=\"T_e3d98_row59_col0\" class=\"data row59 col0\" >[94435]</td>\n",
+       "      <td id=\"T_e3d98_row59_col1\" class=\"data row59 col1\" >[]</td>\n",
+       "      <td id=\"T_e3d98_row59_col2\" class=\"data row59 col2\" >['N']</td>\n",
+       "      <td id=\"T_e3d98_row59_col3\" class=\"data row59 col3\" >1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_e3d98_level0_row60\" class=\"row_heading level0 row60\" >1999_VX24</th>\n",
+       "      <td id=\"T_e3d98_row60_col0\" class=\"data row60 col0\" >[35154]</td>\n",
+       "      <td id=\"T_e3d98_row60_col1\" class=\"data row60 col1\" >[]</td>\n",
+       "      <td id=\"T_e3d98_row60_col2\" class=\"data row60 col2\" >['N']</td>\n",
+       "      <td id=\"T_e3d98_row60_col3\" class=\"data row60 col3\" >1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_e3d98_level0_row61\" class=\"row_heading level0 row61\" >1999_XG19</th>\n",
+       "      <td id=\"T_e3d98_row61_col0\" class=\"data row61 col0\" >[24484]</td>\n",
+       "      <td id=\"T_e3d98_row61_col1\" class=\"data row61 col1\" >[]</td>\n",
+       "      <td id=\"T_e3d98_row61_col2\" class=\"data row61 col2\" >['N']</td>\n",
+       "      <td id=\"T_e3d98_row61_col3\" class=\"data row61 col3\" >1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_e3d98_level0_row62\" class=\"row_heading level0 row62\" >1999_XU116</th>\n",
+       "      <td id=\"T_e3d98_row62_col0\" class=\"data row62 col0\" >[36501]</td>\n",
+       "      <td id=\"T_e3d98_row62_col1\" class=\"data row62 col1\" >[]</td>\n",
+       "      <td id=\"T_e3d98_row62_col2\" class=\"data row62 col2\" >['A']</td>\n",
+       "      <td id=\"T_e3d98_row62_col3\" class=\"data row62 col3\" >1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_e3d98_level0_row63\" class=\"row_heading level0 row63\" >1999_XU39</th>\n",
+       "      <td id=\"T_e3d98_row63_col0\" class=\"data row63 col0\" >[35301 35819]</td>\n",
+       "      <td id=\"T_e3d98_row63_col1\" class=\"data row63 col1\" >[0.0]</td>\n",
+       "      <td id=\"T_e3d98_row63_col2\" class=\"data row63 col2\" >['A', 'A']</td>\n",
+       "      <td id=\"T_e3d98_row63_col3\" class=\"data row63 col3\" >2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_e3d98_level0_row64\" class=\"row_heading level0 row64\" >1999_XZ41</th>\n",
+       "      <td id=\"T_e3d98_row64_col0\" class=\"data row64 col0\" >[21741 26646]</td>\n",
+       "      <td id=\"T_e3d98_row64_col1\" class=\"data row64 col1\" >[5.955995399970561]</td>\n",
+       "      <td id=\"T_e3d98_row64_col2\" class=\"data row64 col2\" >['A', 'A']</td>\n",
+       "      <td id=\"T_e3d98_row64_col3\" class=\"data row64 col3\" >2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_e3d98_level0_row65\" class=\"row_heading level0 row65\" >2000_AB190</th>\n",
+       "      <td id=\"T_e3d98_row65_col0\" class=\"data row65 col0\" >[33410 23776 28603]</td>\n",
+       "      <td id=\"T_e3d98_row65_col1\" class=\"data row65 col1\" >[0.0, 4.999536999966949]</td>\n",
+       "      <td id=\"T_e3d98_row65_col2\" class=\"data row65 col2\" >['A', 'A', 'A']</td>\n",
+       "      <td id=\"T_e3d98_row65_col3\" class=\"data row65 col3\" >3</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_e3d98_level0_row66\" class=\"row_heading level0 row66\" >2000_BM3</th>\n",
+       "      <td id=\"T_e3d98_row66_col0\" class=\"data row66 col0\" >[66324 69582]</td>\n",
+       "      <td id=\"T_e3d98_row66_col1\" class=\"data row66 col1\" >[2.970775400288403]</td>\n",
+       "      <td id=\"T_e3d98_row66_col2\" class=\"data row66 col2\" >['A', 'A']</td>\n",
+       "      <td id=\"T_e3d98_row66_col3\" class=\"data row66 col3\" >2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_e3d98_level0_row67\" class=\"row_heading level0 row67\" >2000_CB57</th>\n",
+       "      <td id=\"T_e3d98_row67_col0\" class=\"data row67 col0\" >[68698 26677]</td>\n",
+       "      <td id=\"T_e3d98_row67_col1\" class=\"data row67 col1\" >[0.0]</td>\n",
+       "      <td id=\"T_e3d98_row67_col2\" class=\"data row67 col2\" >['N', 'N']</td>\n",
+       "      <td id=\"T_e3d98_row67_col3\" class=\"data row67 col3\" >2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_e3d98_level0_row68\" class=\"row_heading level0 row68\" >2000_DN52</th>\n",
+       "      <td id=\"T_e3d98_row68_col0\" class=\"data row68 col0\" >[68698]</td>\n",
+       "      <td id=\"T_e3d98_row68_col1\" class=\"data row68 col1\" >[]</td>\n",
+       "      <td id=\"T_e3d98_row68_col2\" class=\"data row68 col2\" >['A']</td>\n",
+       "      <td id=\"T_e3d98_row68_col3\" class=\"data row68 col3\" >1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_e3d98_level0_row69\" class=\"row_heading level0 row69\" >2000_DO66</th>\n",
+       "      <td id=\"T_e3d98_row69_col0\" class=\"data row69 col0\" >[48907]</td>\n",
+       "      <td id=\"T_e3d98_row69_col1\" class=\"data row69 col1\" >[]</td>\n",
+       "      <td id=\"T_e3d98_row69_col2\" class=\"data row69 col2\" >['A']</td>\n",
+       "      <td id=\"T_e3d98_row69_col3\" class=\"data row69 col3\" >1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_e3d98_level0_row70\" class=\"row_heading level0 row70\" >2000_EF28</th>\n",
+       "      <td id=\"T_e3d98_row70_col0\" class=\"data row70 col0\" >[36824]</td>\n",
+       "      <td id=\"T_e3d98_row70_col1\" class=\"data row70 col1\" >[]</td>\n",
+       "      <td id=\"T_e3d98_row70_col2\" class=\"data row70 col2\" >['A']</td>\n",
+       "      <td id=\"T_e3d98_row70_col3\" class=\"data row70 col3\" >1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_e3d98_level0_row71\" class=\"row_heading level0 row71\" >2000_EQ87</th>\n",
+       "      <td id=\"T_e3d98_row71_col0\" class=\"data row71 col0\" >[25109]</td>\n",
+       "      <td id=\"T_e3d98_row71_col1\" class=\"data row71 col1\" >[]</td>\n",
+       "      <td id=\"T_e3d98_row71_col2\" class=\"data row71 col2\" >['N']</td>\n",
+       "      <td id=\"T_e3d98_row71_col3\" class=\"data row71 col3\" >1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_e3d98_level0_row72\" class=\"row_heading level0 row72\" >2000_ER32</th>\n",
+       "      <td id=\"T_e3d98_row72_col0\" class=\"data row72 col0\" >[23913 36032 36031]</td>\n",
+       "      <td id=\"T_e3d98_row72_col1\" class=\"data row72 col1\" >[0.0, 0.0]</td>\n",
+       "      <td id=\"T_e3d98_row72_col2\" class=\"data row72 col2\" >['N', 'N', 'N']</td>\n",
+       "      <td id=\"T_e3d98_row72_col3\" class=\"data row72 col3\" >3</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_e3d98_level0_row73\" class=\"row_heading level0 row73\" >2000_GT66</th>\n",
+       "      <td id=\"T_e3d98_row73_col0\" class=\"data row73 col0\" >[29008]</td>\n",
+       "      <td id=\"T_e3d98_row73_col1\" class=\"data row73 col1\" >[]</td>\n",
+       "      <td id=\"T_e3d98_row73_col2\" class=\"data row73 col2\" >['A']</td>\n",
+       "      <td id=\"T_e3d98_row73_col3\" class=\"data row73 col3\" >1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_e3d98_level0_row74\" class=\"row_heading level0 row74\" >2000_GW78</th>\n",
+       "      <td id=\"T_e3d98_row74_col0\" class=\"data row74 col0\" >[23568 22882]</td>\n",
+       "      <td id=\"T_e3d98_row74_col1\" class=\"data row74 col1\" >[0.0]</td>\n",
+       "      <td id=\"T_e3d98_row74_col2\" class=\"data row74 col2\" >['A', 'A']</td>\n",
+       "      <td id=\"T_e3d98_row74_col3\" class=\"data row74 col3\" >2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_e3d98_level0_row75\" class=\"row_heading level0 row75\" >2000_JB63</th>\n",
+       "      <td id=\"T_e3d98_row75_col0\" class=\"data row75 col0\" >[29023]</td>\n",
+       "      <td id=\"T_e3d98_row75_col1\" class=\"data row75 col1\" >[6.0584259000606835]</td>\n",
+       "      <td id=\"T_e3d98_row75_col2\" class=\"data row75 col2\" >['N', 'A']</td>\n",
+       "      <td id=\"T_e3d98_row75_col3\" class=\"data row75 col3\" >2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_e3d98_level0_row76\" class=\"row_heading level0 row76\" >2000_JP27</th>\n",
+       "      <td id=\"T_e3d98_row76_col0\" class=\"data row76 col0\" >[95222]</td>\n",
+       "      <td id=\"T_e3d98_row76_col1\" class=\"data row76 col1\" >[]</td>\n",
+       "      <td id=\"T_e3d98_row76_col2\" class=\"data row76 col2\" >['N']</td>\n",
+       "      <td id=\"T_e3d98_row76_col3\" class=\"data row76 col3\" >1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_e3d98_level0_row77\" class=\"row_heading level0 row77\" >2000_JZ26</th>\n",
+       "      <td id=\"T_e3d98_row77_col0\" class=\"data row77 col0\" >[95250]</td>\n",
+       "      <td id=\"T_e3d98_row77_col1\" class=\"data row77 col1\" >[]</td>\n",
+       "      <td id=\"T_e3d98_row77_col2\" class=\"data row77 col2\" >['N']</td>\n",
+       "      <td id=\"T_e3d98_row77_col3\" class=\"data row77 col3\" >1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_e3d98_level0_row78\" class=\"row_heading level0 row78\" >2000_NF5</th>\n",
+       "      <td id=\"T_e3d98_row78_col0\" class=\"data row78 col0\" >[30361]</td>\n",
+       "      <td id=\"T_e3d98_row78_col1\" class=\"data row78 col1\" >[0.0365046001970768, 2.8793286997824907, 0.0452199000865221, 0.029374999925494194]</td>\n",
+       "      <td id=\"T_e3d98_row78_col2\" class=\"data row78 col2\" >['I', 'I', 'T', 'T', 'T']</td>\n",
+       "      <td id=\"T_e3d98_row78_col3\" class=\"data row78 col3\" >5</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_e3d98_level0_row79\" class=\"row_heading level0 row79\" >2000_OJ6</th>\n",
+       "      <td id=\"T_e3d98_row79_col0\" class=\"data row79 col0\" >[48905]</td>\n",
+       "      <td id=\"T_e3d98_row79_col1\" class=\"data row79 col1\" >[]</td>\n",
+       "      <td id=\"T_e3d98_row79_col2\" class=\"data row79 col2\" >['A']</td>\n",
+       "      <td id=\"T_e3d98_row79_col3\" class=\"data row79 col3\" >1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_e3d98_level0_row80\" class=\"row_heading level0 row80\" >2000_OR4</th>\n",
+       "      <td id=\"T_e3d98_row80_col0\" class=\"data row80 col0\" >[22411]</td>\n",
+       "      <td id=\"T_e3d98_row80_col1\" class=\"data row80 col1\" >[]</td>\n",
+       "      <td id=\"T_e3d98_row80_col2\" class=\"data row80 col2\" >['N']</td>\n",
+       "      <td id=\"T_e3d98_row80_col3\" class=\"data row80 col3\" >1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_e3d98_level0_row81\" class=\"row_heading level0 row81\" >2000_QE132</th>\n",
+       "      <td id=\"T_e3d98_row81_col0\" class=\"data row81 col0\" >[94580]</td>\n",
+       "      <td id=\"T_e3d98_row81_col1\" class=\"data row81 col1\" >[]</td>\n",
+       "      <td id=\"T_e3d98_row81_col2\" class=\"data row81 col2\" >['N']</td>\n",
+       "      <td id=\"T_e3d98_row81_col3\" class=\"data row81 col3\" >1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_e3d98_level0_row82\" class=\"row_heading level0 row82\" >2000_SC71</th>\n",
+       "      <td id=\"T_e3d98_row82_col0\" class=\"data row82 col0\" >[53267]</td>\n",
+       "      <td id=\"T_e3d98_row82_col1\" class=\"data row82 col1\" >[0.020555600058287382, 1.979548600036651]</td>\n",
+       "      <td id=\"T_e3d98_row82_col2\" class=\"data row82 col2\" >['I', 'I', 'T']</td>\n",
+       "      <td id=\"T_e3d98_row82_col3\" class=\"data row82 col3\" >3</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_e3d98_level0_row83\" class=\"row_heading level0 row83\" >2000_SJ273</th>\n",
+       "      <td id=\"T_e3d98_row83_col0\" class=\"data row83 col0\" >[87640 87638]</td>\n",
+       "      <td id=\"T_e3d98_row83_col1\" class=\"data row83 col1\" >[0.0, 1.9393402999266982, 0.0]</td>\n",
+       "      <td id=\"T_e3d98_row83_col2\" class=\"data row83 col2\" >['N', 'N', 'N', 'N']</td>\n",
+       "      <td id=\"T_e3d98_row83_col3\" class=\"data row83 col3\" >4</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_e3d98_level0_row84\" class=\"row_heading level0 row84\" >2000_TJ1</th>\n",
+       "      <td id=\"T_e3d98_row84_col0\" class=\"data row84 col0\" >[58820 79455]</td>\n",
+       "      <td id=\"T_e3d98_row84_col1\" class=\"data row84 col1\" >[0.0009490000084042549, 2.0493055996485054, 0.00047450000420212746, 0.00836810003966093]</td>\n",
+       "      <td id=\"T_e3d98_row84_col2\" class=\"data row84 col2\" >['I', 'I', 'I', 'I', 'I']</td>\n",
+       "      <td id=\"T_e3d98_row84_col3\" class=\"data row84 col3\" >5</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_e3d98_level0_row85\" class=\"row_heading level0 row85\" >2000_VU35</th>\n",
+       "      <td id=\"T_e3d98_row85_col0\" class=\"data row85 col0\" >[23760 23776 33410 25098]</td>\n",
+       "      <td id=\"T_e3d98_row85_col1\" class=\"data row85 col1\" >[0.0, 0.0, 0.1192013998515904]</td>\n",
+       "      <td id=\"T_e3d98_row85_col2\" class=\"data row85 col2\" >['N', 'N', 'N', 'N']</td>\n",
+       "      <td id=\"T_e3d98_row85_col3\" class=\"data row85 col3\" >4</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_e3d98_level0_row86\" class=\"row_heading level0 row86\" >2000_VY26</th>\n",
+       "      <td id=\"T_e3d98_row86_col0\" class=\"data row86 col0\" >[34619 35217]</td>\n",
+       "      <td id=\"T_e3d98_row86_col1\" class=\"data row86 col1\" >[0.0]</td>\n",
+       "      <td id=\"T_e3d98_row86_col2\" class=\"data row86 col2\" >['A', 'A']</td>\n",
+       "      <td id=\"T_e3d98_row86_col3\" class=\"data row86 col3\" >2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_e3d98_level0_row87\" class=\"row_heading level0 row87\" >2000_WZ38</th>\n",
+       "      <td id=\"T_e3d98_row87_col0\" class=\"data row87 col0\" >[23558]</td>\n",
+       "      <td id=\"T_e3d98_row87_col1\" class=\"data row87 col1\" >[]</td>\n",
+       "      <td id=\"T_e3d98_row87_col2\" class=\"data row87 col2\" >['A']</td>\n",
+       "      <td id=\"T_e3d98_row87_col3\" class=\"data row87 col3\" >1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_e3d98_level0_row88\" class=\"row_heading level0 row88\" >2000_XB18</th>\n",
+       "      <td id=\"T_e3d98_row88_col0\" class=\"data row88 col0\" >[26627]</td>\n",
+       "      <td id=\"T_e3d98_row88_col1\" class=\"data row88 col1\" >[]</td>\n",
+       "      <td id=\"T_e3d98_row88_col2\" class=\"data row88 col2\" >['A']</td>\n",
+       "      <td id=\"T_e3d98_row88_col3\" class=\"data row88 col3\" >1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_e3d98_level0_row89\" class=\"row_heading level0 row89\" >2000_XH44</th>\n",
+       "      <td id=\"T_e3d98_row89_col0\" class=\"data row89 col0\" >[88837]</td>\n",
+       "      <td id=\"T_e3d98_row89_col1\" class=\"data row89 col1\" >[]</td>\n",
+       "      <td id=\"T_e3d98_row89_col2\" class=\"data row89 col2\" >['A']</td>\n",
+       "      <td id=\"T_e3d98_row89_col3\" class=\"data row89 col3\" >1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_e3d98_level0_row90\" class=\"row_heading level0 row90\" >2000_XP18</th>\n",
+       "      <td id=\"T_e3d98_row90_col0\" class=\"data row90 col0\" >[28603]</td>\n",
+       "      <td id=\"T_e3d98_row90_col1\" class=\"data row90 col1\" >[]</td>\n",
+       "      <td id=\"T_e3d98_row90_col2\" class=\"data row90 col2\" >['N']</td>\n",
+       "      <td id=\"T_e3d98_row90_col3\" class=\"data row90 col3\" >1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_e3d98_level0_row91\" class=\"row_heading level0 row91\" >2000_XT27</th>\n",
+       "      <td id=\"T_e3d98_row91_col0\" class=\"data row91 col0\" >[26671]</td>\n",
+       "      <td id=\"T_e3d98_row91_col1\" class=\"data row91 col1\" >[2.0321990000084043]</td>\n",
+       "      <td id=\"T_e3d98_row91_col2\" class=\"data row91 col2\" >['A', 'A']</td>\n",
+       "      <td id=\"T_e3d98_row91_col3\" class=\"data row91 col3\" >2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_e3d98_level0_row92\" class=\"row_heading level0 row92\" >2000_YR21</th>\n",
+       "      <td id=\"T_e3d98_row92_col0\" class=\"data row92 col0\" >[88021]</td>\n",
+       "      <td id=\"T_e3d98_row92_col1\" class=\"data row92 col1\" >[]</td>\n",
+       "      <td id=\"T_e3d98_row92_col2\" class=\"data row92 col2\" >['A']</td>\n",
+       "      <td id=\"T_e3d98_row92_col3\" class=\"data row92 col3\" >1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_e3d98_level0_row93\" class=\"row_heading level0 row93\" >2000_YX51</th>\n",
+       "      <td id=\"T_e3d98_row93_col0\" class=\"data row93 col0\" >[28603]</td>\n",
+       "      <td id=\"T_e3d98_row93_col1\" class=\"data row93 col1\" >[]</td>\n",
+       "      <td id=\"T_e3d98_row93_col2\" class=\"data row93 col2\" >['N']</td>\n",
+       "      <td id=\"T_e3d98_row93_col3\" class=\"data row93 col3\" >1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_e3d98_level0_row94\" class=\"row_heading level0 row94\" >2001_DA41</th>\n",
+       "      <td id=\"T_e3d98_row94_col0\" class=\"data row94 col0\" >[67810]</td>\n",
+       "      <td id=\"T_e3d98_row94_col1\" class=\"data row94 col1\" >[]</td>\n",
+       "      <td id=\"T_e3d98_row94_col2\" class=\"data row94 col2\" >['A']</td>\n",
+       "      <td id=\"T_e3d98_row94_col3\" class=\"data row94 col3\" >1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_e3d98_level0_row95\" class=\"row_heading level0 row95\" >2001_DH52</th>\n",
+       "      <td id=\"T_e3d98_row95_col0\" class=\"data row95 col0\" >[35819 35301]</td>\n",
+       "      <td id=\"T_e3d98_row95_col1\" class=\"data row95 col1\" >[0.0]</td>\n",
+       "      <td id=\"T_e3d98_row95_col2\" class=\"data row95 col2\" >['A', 'A']</td>\n",
+       "      <td id=\"T_e3d98_row95_col3\" class=\"data row95 col3\" >2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_e3d98_level0_row96\" class=\"row_heading level0 row96\" >2001_DM64</th>\n",
+       "      <td id=\"T_e3d98_row96_col0\" class=\"data row96 col0\" >[23916]</td>\n",
+       "      <td id=\"T_e3d98_row96_col1\" class=\"data row96 col1\" >[]</td>\n",
+       "      <td id=\"T_e3d98_row96_col2\" class=\"data row96 col2\" >['A']</td>\n",
+       "      <td id=\"T_e3d98_row96_col3\" class=\"data row96 col3\" >1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_e3d98_level0_row97\" class=\"row_heading level0 row97\" >2001_EY10</th>\n",
+       "      <td id=\"T_e3d98_row97_col0\" class=\"data row97 col0\" >[69582 15913]</td>\n",
+       "      <td id=\"T_e3d98_row97_col1\" class=\"data row97 col1\" >[0.0]</td>\n",
+       "      <td id=\"T_e3d98_row97_col2\" class=\"data row97 col2\" >['N', 'N']</td>\n",
+       "      <td id=\"T_e3d98_row97_col3\" class=\"data row97 col3\" >2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_e3d98_level0_row98\" class=\"row_heading level0 row98\" >2001_FD42</th>\n",
+       "      <td id=\"T_e3d98_row98_col0\" class=\"data row98 col0\" >[23775]</td>\n",
+       "      <td id=\"T_e3d98_row98_col1\" class=\"data row98 col1\" >[]</td>\n",
+       "      <td id=\"T_e3d98_row98_col2\" class=\"data row98 col2\" >['N']</td>\n",
+       "      <td id=\"T_e3d98_row98_col3\" class=\"data row98 col3\" >1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_e3d98_level0_row99\" class=\"row_heading level0 row99\" >2001_FF29</th>\n",
+       "      <td id=\"T_e3d98_row99_col0\" class=\"data row99 col0\" >[23571]</td>\n",
+       "      <td id=\"T_e3d98_row99_col1\" class=\"data row99 col1\" >[]</td>\n",
+       "      <td id=\"T_e3d98_row99_col2\" class=\"data row99 col2\" >['A']</td>\n",
+       "      <td id=\"T_e3d98_row99_col3\" class=\"data row99 col3\" >1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_e3d98_level0_row100\" class=\"row_heading level0 row100\" >2001_HR18</th>\n",
+       "      <td id=\"T_e3d98_row100_col0\" class=\"data row100 col0\" >[24817 36501 88022 88021]</td>\n",
+       "      <td id=\"T_e3d98_row100_col1\" class=\"data row100 col1\" >[0.0, 0.0, 0.0]</td>\n",
+       "      <td id=\"T_e3d98_row100_col2\" class=\"data row100 col2\" >['N', 'N', 'N', 'N']</td>\n",
+       "      <td id=\"T_e3d98_row100_col3\" class=\"data row100 col3\" >4</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_e3d98_level0_row101\" class=\"row_heading level0 row101\" >2001_HZ63</th>\n",
+       "      <td id=\"T_e3d98_row101_col0\" class=\"data row101 col0\" >[47249 35217 47250]</td>\n",
+       "      <td id=\"T_e3d98_row101_col1\" class=\"data row101 col1\" >[0.0, 0.0]</td>\n",
+       "      <td id=\"T_e3d98_row101_col2\" class=\"data row101 col2\" >['N', 'N', 'N']</td>\n",
+       "      <td id=\"T_e3d98_row101_col3\" class=\"data row101 col3\" >3</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_e3d98_level0_row102\" class=\"row_heading level0 row102\" >2001_KY16</th>\n",
+       "      <td id=\"T_e3d98_row102_col0\" class=\"data row102 col0\" >[25109 23776 19575]</td>\n",
+       "      <td id=\"T_e3d98_row102_col1\" class=\"data row102 col1\" >[10.07782409992069, 2.9431364997290075, 0.023356500081717968]</td>\n",
+       "      <td id=\"T_e3d98_row102_col2\" class=\"data row102 col2\" >['N', 'A', 'T', 'T']</td>\n",
+       "      <td id=\"T_e3d98_row102_col3\" class=\"data row102 col3\" >4</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_e3d98_level0_row103\" class=\"row_heading level0 row103\" >2001_NG11</th>\n",
+       "      <td id=\"T_e3d98_row103_col0\" class=\"data row103 col0\" >[93140]</td>\n",
+       "      <td id=\"T_e3d98_row103_col1\" class=\"data row103 col1\" >[]</td>\n",
+       "      <td id=\"T_e3d98_row103_col2\" class=\"data row103 col2\" >['N']</td>\n",
+       "      <td id=\"T_e3d98_row103_col3\" class=\"data row103 col3\" >1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_e3d98_level0_row104\" class=\"row_heading level0 row104\" >2001_QB120</th>\n",
+       "      <td id=\"T_e3d98_row104_col0\" class=\"data row104 col0\" >[25109 19550]</td>\n",
+       "      <td id=\"T_e3d98_row104_col1\" class=\"data row104 col1\" >[0.0]</td>\n",
+       "      <td id=\"T_e3d98_row104_col2\" class=\"data row104 col2\" >['A', 'A']</td>\n",
+       "      <td id=\"T_e3d98_row104_col3\" class=\"data row104 col3\" >2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_e3d98_level0_row105\" class=\"row_heading level0 row105\" >2001_QB149</th>\n",
+       "      <td id=\"T_e3d98_row105_col0\" class=\"data row105 col0\" >[22901 29008]</td>\n",
+       "      <td id=\"T_e3d98_row105_col1\" class=\"data row105 col1\" >[0.0]</td>\n",
+       "      <td id=\"T_e3d98_row105_col2\" class=\"data row105 col2\" >['N', 'N']</td>\n",
+       "      <td id=\"T_e3d98_row105_col3\" class=\"data row105 col3\" >2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_e3d98_level0_row106\" class=\"row_heading level0 row106\" >2001_QO5</th>\n",
+       "      <td id=\"T_e3d98_row106_col0\" class=\"data row106 col0\" >[88612]</td>\n",
+       "      <td id=\"T_e3d98_row106_col1\" class=\"data row106 col1\" >[]</td>\n",
+       "      <td id=\"T_e3d98_row106_col2\" class=\"data row106 col2\" >['A']</td>\n",
+       "      <td id=\"T_e3d98_row106_col3\" class=\"data row106 col3\" >1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_e3d98_level0_row107\" class=\"row_heading level0 row107\" >2001_SK9</th>\n",
+       "      <td id=\"T_e3d98_row107_col0\" class=\"data row107 col0\" >[42292 74243 74386]</td>\n",
+       "      <td id=\"T_e3d98_row107_col1\" class=\"data row107 col1\" >[0.00047450000420212746, 2.91983800008893, 0.0018749996088445187, 0.01189810037612915, 0.0009259996004402637]</td>\n",
+       "      <td id=\"T_e3d98_row107_col2\" class=\"data row107 col2\" >['I', 'I', 'I', 'I', 'I', 'I']</td>\n",
+       "      <td id=\"T_e3d98_row107_col3\" class=\"data row107 col3\" >6</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_e3d98_level0_row108\" class=\"row_heading level0 row108\" >2001_SN289</th>\n",
+       "      <td id=\"T_e3d98_row108_col0\" class=\"data row108 col0\" >[87640 87638]</td>\n",
+       "      <td id=\"T_e3d98_row108_col1\" class=\"data row108 col1\" >[0.06900459993630648]</td>\n",
+       "      <td id=\"T_e3d98_row108_col2\" class=\"data row108 col2\" >['A', 'A']</td>\n",
+       "      <td id=\"T_e3d98_row108_col3\" class=\"data row108 col3\" >2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_e3d98_level0_row109\" class=\"row_heading level0 row109\" >2001_SW269</th>\n",
+       "      <td id=\"T_e3d98_row109_col0\" class=\"data row109 col0\" >[29023 36824 19271]</td>\n",
+       "      <td id=\"T_e3d98_row109_col1\" class=\"data row109 col1\" >[3.0389468003995717, 0.0]</td>\n",
+       "      <td id=\"T_e3d98_row109_col2\" class=\"data row109 col2\" >['A', 'A', 'A']</td>\n",
+       "      <td id=\"T_e3d98_row109_col3\" class=\"data row109 col3\" >3</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_e3d98_level0_row110\" class=\"row_heading level0 row110\" >2001_TT41</th>\n",
+       "      <td id=\"T_e3d98_row110_col0\" class=\"data row110 col0\" >[48906]</td>\n",
+       "      <td id=\"T_e3d98_row110_col1\" class=\"data row110 col1\" >[]</td>\n",
+       "      <td id=\"T_e3d98_row110_col2\" class=\"data row110 col2\" >['A']</td>\n",
+       "      <td id=\"T_e3d98_row110_col3\" class=\"data row110 col3\" >1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_e3d98_level0_row111\" class=\"row_heading level0 row111\" >2001_TY191</th>\n",
+       "      <td id=\"T_e3d98_row111_col0\" class=\"data row111 col0\" >[48065]</td>\n",
+       "      <td id=\"T_e3d98_row111_col1\" class=\"data row111 col1\" >[]</td>\n",
+       "      <td id=\"T_e3d98_row111_col2\" class=\"data row111 col2\" >['A']</td>\n",
+       "      <td id=\"T_e3d98_row111_col3\" class=\"data row111 col3\" >1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_e3d98_level0_row112\" class=\"row_heading level0 row112\" >2002_CQ15</th>\n",
+       "      <td id=\"T_e3d98_row112_col0\" class=\"data row112 col0\" >[51040]</td>\n",
+       "      <td id=\"T_e3d98_row112_col1\" class=\"data row112 col1\" >[]</td>\n",
+       "      <td id=\"T_e3d98_row112_col2\" class=\"data row112 col2\" >['N']</td>\n",
+       "      <td id=\"T_e3d98_row112_col3\" class=\"data row112 col3\" >1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_e3d98_level0_row113\" class=\"row_heading level0 row113\" >2002_GU18</th>\n",
+       "      <td id=\"T_e3d98_row113_col0\" class=\"data row113 col0\" >[71118]</td>\n",
+       "      <td id=\"T_e3d98_row113_col1\" class=\"data row113 col1\" >[]</td>\n",
+       "      <td id=\"T_e3d98_row113_col2\" class=\"data row113 col2\" >['N']</td>\n",
+       "      <td id=\"T_e3d98_row113_col3\" class=\"data row113 col3\" >1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_e3d98_level0_row114\" class=\"row_heading level0 row114\" >2002_JE18</th>\n",
+       "      <td id=\"T_e3d98_row114_col0\" class=\"data row114 col0\" >[96137]</td>\n",
+       "      <td id=\"T_e3d98_row114_col1\" class=\"data row114 col1\" >[]</td>\n",
+       "      <td id=\"T_e3d98_row114_col2\" class=\"data row114 col2\" >['N']</td>\n",
+       "      <td id=\"T_e3d98_row114_col3\" class=\"data row114 col3\" >1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_e3d98_level0_row115\" class=\"row_heading level0 row115\" >2002_JQ59</th>\n",
+       "      <td id=\"T_e3d98_row115_col0\" class=\"data row115 col0\" >[71190]</td>\n",
+       "      <td id=\"T_e3d98_row115_col1\" class=\"data row115 col1\" >[]</td>\n",
+       "      <td id=\"T_e3d98_row115_col2\" class=\"data row115 col2\" >['N']</td>\n",
+       "      <td id=\"T_e3d98_row115_col3\" class=\"data row115 col3\" >1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_e3d98_level0_row116\" class=\"row_heading level0 row116\" >2002_PC130</th>\n",
+       "      <td id=\"T_e3d98_row116_col0\" class=\"data row116 col0\" >[39854]</td>\n",
+       "      <td id=\"T_e3d98_row116_col1\" class=\"data row116 col1\" >[0.03302079997956753, 0.010659700259566307]</td>\n",
+       "      <td id=\"T_e3d98_row116_col2\" class=\"data row116 col2\" >['I', 'I', 'I']</td>\n",
+       "      <td id=\"T_e3d98_row116_col3\" class=\"data row116 col3\" >3</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_e3d98_level0_row117\" class=\"row_heading level0 row117\" >2002_RB105</th>\n",
+       "      <td id=\"T_e3d98_row117_col0\" class=\"data row117 col0\" >[22901]</td>\n",
+       "      <td id=\"T_e3d98_row117_col1\" class=\"data row117 col1\" >[1.974282399751246]</td>\n",
+       "      <td id=\"T_e3d98_row117_col2\" class=\"data row117 col2\" >['A', 'A']</td>\n",
+       "      <td id=\"T_e3d98_row117_col3\" class=\"data row117 col3\" >2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_e3d98_level0_row118\" class=\"row_heading level0 row118\" >2002_RV107</th>\n",
+       "      <td id=\"T_e3d98_row118_col0\" class=\"data row118 col0\" >[97351]</td>\n",
+       "      <td id=\"T_e3d98_row118_col1\" class=\"data row118 col1\" >[]</td>\n",
+       "      <td id=\"T_e3d98_row118_col2\" class=\"data row118 col2\" >['N']</td>\n",
+       "      <td id=\"T_e3d98_row118_col3\" class=\"data row118 col3\" >1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_e3d98_level0_row119\" class=\"row_heading level0 row119\" >2002_RW44</th>\n",
+       "      <td id=\"T_e3d98_row119_col0\" class=\"data row119 col0\" >[89220 89218]</td>\n",
+       "      <td id=\"T_e3d98_row119_col1\" class=\"data row119 col1\" >[0.0]</td>\n",
+       "      <td id=\"T_e3d98_row119_col2\" class=\"data row119 col2\" >['N', 'N']</td>\n",
+       "      <td id=\"T_e3d98_row119_col3\" class=\"data row119 col3\" >2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_e3d98_level0_row120\" class=\"row_heading level0 row120\" >2002_SR41</th>\n",
+       "      <td id=\"T_e3d98_row120_col0\" class=\"data row120 col0\" >[75477]</td>\n",
+       "      <td id=\"T_e3d98_row120_col1\" class=\"data row120 col1\" >[0.025949000380933285]</td>\n",
+       "      <td id=\"T_e3d98_row120_col2\" class=\"data row120 col2\" >['I', 'I']</td>\n",
+       "      <td id=\"T_e3d98_row120_col3\" class=\"data row120 col3\" >2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_e3d98_level0_row121\" class=\"row_heading level0 row121\" >2002_TN30</th>\n",
+       "      <td id=\"T_e3d98_row121_col0\" class=\"data row121 col0\" >[89220 89218]</td>\n",
+       "      <td id=\"T_e3d98_row121_col1\" class=\"data row121 col1\" >[0.00047450000420212746]</td>\n",
+       "      <td id=\"T_e3d98_row121_col2\" class=\"data row121 col2\" >['N', 'N']</td>\n",
+       "      <td id=\"T_e3d98_row121_col3\" class=\"data row121 col3\" >2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_e3d98_level0_row122\" class=\"row_heading level0 row122\" >2002_UJ32</th>\n",
+       "      <td id=\"T_e3d98_row122_col0\" class=\"data row122 col0\" >[51560 50182]</td>\n",
+       "      <td id=\"T_e3d98_row122_col1\" class=\"data row122 col1\" >[0.0]</td>\n",
+       "      <td id=\"T_e3d98_row122_col2\" class=\"data row122 col2\" >['N', 'N']</td>\n",
+       "      <td id=\"T_e3d98_row122_col3\" class=\"data row122 col3\" >2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_e3d98_level0_row123\" class=\"row_heading level0 row123\" >2002_UQ3</th>\n",
+       "      <td id=\"T_e3d98_row123_col0\" class=\"data row123 col0\" >[89123]</td>\n",
+       "      <td id=\"T_e3d98_row123_col1\" class=\"data row123 col1\" >[1.964236100204289]</td>\n",
+       "      <td id=\"T_e3d98_row123_col2\" class=\"data row123 col2\" >['N', 'N']</td>\n",
+       "      <td id=\"T_e3d98_row123_col3\" class=\"data row123 col3\" >2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_e3d98_level0_row124\" class=\"row_heading level0 row124\" >2002_YY</th>\n",
+       "      <td id=\"T_e3d98_row124_col0\" class=\"data row124 col0\" >[23571]</td>\n",
+       "      <td id=\"T_e3d98_row124_col1\" class=\"data row124 col1\" >[1.0094328001141548]</td>\n",
+       "      <td id=\"T_e3d98_row124_col2\" class=\"data row124 col2\" >['A', 'A']</td>\n",
+       "      <td id=\"T_e3d98_row124_col3\" class=\"data row124 col3\" >2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_e3d98_level0_row125\" class=\"row_heading level0 row125\" >2003_AP17</th>\n",
+       "      <td id=\"T_e3d98_row125_col0\" class=\"data row125 col0\" >[47249]</td>\n",
+       "      <td id=\"T_e3d98_row125_col1\" class=\"data row125 col1\" >[]</td>\n",
+       "      <td id=\"T_e3d98_row125_col2\" class=\"data row125 col2\" >['A']</td>\n",
+       "      <td id=\"T_e3d98_row125_col3\" class=\"data row125 col3\" >1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_e3d98_level0_row126\" class=\"row_heading level0 row126\" >2003_QQ69</th>\n",
+       "      <td id=\"T_e3d98_row126_col0\" class=\"data row126 col0\" >[51428]</td>\n",
+       "      <td id=\"T_e3d98_row126_col1\" class=\"data row126 col1\" >[]</td>\n",
+       "      <td id=\"T_e3d98_row126_col2\" class=\"data row126 col2\" >['N']</td>\n",
+       "      <td id=\"T_e3d98_row126_col3\" class=\"data row126 col3\" >1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_e3d98_level0_row127\" class=\"row_heading level0 row127\" >2003_RB10</th>\n",
+       "      <td id=\"T_e3d98_row127_col0\" class=\"data row127 col0\" >[33410]</td>\n",
+       "      <td id=\"T_e3d98_row127_col1\" class=\"data row127 col1\" >[]</td>\n",
+       "      <td id=\"T_e3d98_row127_col2\" class=\"data row127 col2\" >['A']</td>\n",
+       "      <td id=\"T_e3d98_row127_col3\" class=\"data row127 col3\" >1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_e3d98_level0_row128\" class=\"row_heading level0 row128\" >2003_RN10</th>\n",
+       "      <td id=\"T_e3d98_row128_col0\" class=\"data row128 col0\" >[893]</td>\n",
+       "      <td id=\"T_e3d98_row128_col1\" class=\"data row128 col1\" >[0.021793899592012167, 0.05927090020850301]</td>\n",
+       "      <td id=\"T_e3d98_row128_col2\" class=\"data row128 col2\" >['I', 'I', 'I']</td>\n",
+       "      <td id=\"T_e3d98_row128_col3\" class=\"data row128 col3\" >3</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_e3d98_level0_row129\" class=\"row_heading level0 row129\" >2003_SF145</th>\n",
+       "      <td id=\"T_e3d98_row129_col0\" class=\"data row129 col0\" >[89616]</td>\n",
+       "      <td id=\"T_e3d98_row129_col1\" class=\"data row129 col1\" >[]</td>\n",
+       "      <td id=\"T_e3d98_row129_col2\" class=\"data row129 col2\" >['N']</td>\n",
+       "      <td id=\"T_e3d98_row129_col3\" class=\"data row129 col3\" >1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_e3d98_level0_row130\" class=\"row_heading level0 row130\" >2003_SH95</th>\n",
+       "      <td id=\"T_e3d98_row130_col0\" class=\"data row130 col0\" >[51546]</td>\n",
+       "      <td id=\"T_e3d98_row130_col1\" class=\"data row130 col1\" >[]</td>\n",
+       "      <td id=\"T_e3d98_row130_col2\" class=\"data row130 col2\" >['N']</td>\n",
+       "      <td id=\"T_e3d98_row130_col3\" class=\"data row130 col3\" >1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_e3d98_level0_row131\" class=\"row_heading level0 row131\" >2003_SL171</th>\n",
+       "      <td id=\"T_e3d98_row131_col0\" class=\"data row131 col0\" >[23916]</td>\n",
+       "      <td id=\"T_e3d98_row131_col1\" class=\"data row131 col1\" >[]</td>\n",
+       "      <td id=\"T_e3d98_row131_col2\" class=\"data row131 col2\" >['A']</td>\n",
+       "      <td id=\"T_e3d98_row131_col3\" class=\"data row131 col3\" >1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_e3d98_level0_row132\" class=\"row_heading level0 row132\" >2003_SM213</th>\n",
+       "      <td id=\"T_e3d98_row132_col0\" class=\"data row132 col0\" >[36031]</td>\n",
+       "      <td id=\"T_e3d98_row132_col1\" class=\"data row132 col1\" >[]</td>\n",
+       "      <td id=\"T_e3d98_row132_col2\" class=\"data row132 col2\" >['A']</td>\n",
+       "      <td id=\"T_e3d98_row132_col3\" class=\"data row132 col3\" >1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_e3d98_level0_row133\" class=\"row_heading level0 row133\" >2003_WA118</th>\n",
+       "      <td id=\"T_e3d98_row133_col0\" class=\"data row133 col0\" >[46805]</td>\n",
+       "      <td id=\"T_e3d98_row133_col1\" class=\"data row133 col1\" >[]</td>\n",
+       "      <td id=\"T_e3d98_row133_col2\" class=\"data row133 col2\" >['A']</td>\n",
+       "      <td id=\"T_e3d98_row133_col3\" class=\"data row133 col3\" >1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_e3d98_level0_row134\" class=\"row_heading level0 row134\" >2003_WH67</th>\n",
+       "      <td id=\"T_e3d98_row134_col0\" class=\"data row134 col0\" >[67527]</td>\n",
+       "      <td id=\"T_e3d98_row134_col1\" class=\"data row134 col1\" >[0.04236110020428896]</td>\n",
+       "      <td id=\"T_e3d98_row134_col2\" class=\"data row134 col2\" >['T', 'T']</td>\n",
+       "      <td id=\"T_e3d98_row134_col3\" class=\"data row134 col3\" >2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_e3d98_level0_row135\" class=\"row_heading level0 row135\" >2004_EW9</th>\n",
+       "      <td id=\"T_e3d98_row135_col0\" class=\"data row135 col0\" >[25610 62121]</td>\n",
+       "      <td id=\"T_e3d98_row135_col1\" class=\"data row135 col1\" >[0.053518600296229124, 4.961886500008404, 0.052372700069099665, 4.911770899780095, 0.026712900027632713]</td>\n",
+       "      <td id=\"T_e3d98_row135_col2\" class=\"data row135 col2\" >['I', 'I', 'T', 'T', 'I', 'I']</td>\n",
+       "      <td id=\"T_e3d98_row135_col3\" class=\"data row135 col3\" >6</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_e3d98_level0_row136\" class=\"row_heading level0 row136\" >2004_RJ84</th>\n",
+       "      <td id=\"T_e3d98_row136_col0\" class=\"data row136 col0\" >[95739 94410 97121]</td>\n",
+       "      <td id=\"T_e3d98_row136_col1\" class=\"data row136 col1\" >[0.01843750011175871, 1.9472453999333084]</td>\n",
+       "      <td id=\"T_e3d98_row136_col2\" class=\"data row136 col2\" >['N', 'N', 'N']</td>\n",
+       "      <td id=\"T_e3d98_row136_col3\" class=\"data row136 col3\" >3</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_e3d98_level0_row137\" class=\"row_heading level0 row137\" >2004_VP61</th>\n",
+       "      <td id=\"T_e3d98_row137_col0\" class=\"data row137 col0\" >[67276]</td>\n",
+       "      <td id=\"T_e3d98_row137_col1\" class=\"data row137 col1\" >[0.029814799781888723]</td>\n",
+       "      <td id=\"T_e3d98_row137_col2\" class=\"data row137 col2\" >['T', 'T']</td>\n",
+       "      <td id=\"T_e3d98_row137_col3\" class=\"data row137 col3\" >2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_e3d98_level0_row138\" class=\"row_heading level0 row138\" >2005_AH</th>\n",
+       "      <td id=\"T_e3d98_row138_col0\" class=\"data row138 col0\" >[92197]</td>\n",
+       "      <td id=\"T_e3d98_row138_col1\" class=\"data row138 col1\" >[]</td>\n",
+       "      <td id=\"T_e3d98_row138_col2\" class=\"data row138 col2\" >['N']</td>\n",
+       "      <td id=\"T_e3d98_row138_col3\" class=\"data row138 col3\" >1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_e3d98_level0_row139\" class=\"row_heading level0 row139\" >2005_AU7</th>\n",
+       "      <td id=\"T_e3d98_row139_col0\" class=\"data row139 col0\" >[51021]</td>\n",
+       "      <td id=\"T_e3d98_row139_col1\" class=\"data row139 col1\" >[]</td>\n",
+       "      <td id=\"T_e3d98_row139_col2\" class=\"data row139 col2\" >['N']</td>\n",
+       "      <td id=\"T_e3d98_row139_col3\" class=\"data row139 col3\" >1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_e3d98_level0_row140\" class=\"row_heading level0 row140\" >2005_EY51</th>\n",
+       "      <td id=\"T_e3d98_row140_col0\" class=\"data row140 col0\" >[19271]</td>\n",
+       "      <td id=\"T_e3d98_row140_col1\" class=\"data row140 col1\" >[]</td>\n",
+       "      <td id=\"T_e3d98_row140_col2\" class=\"data row140 col2\" >['I']</td>\n",
+       "      <td id=\"T_e3d98_row140_col3\" class=\"data row140 col3\" >1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_e3d98_level0_row141\" class=\"row_heading level0 row141\" >2005_SC206</th>\n",
+       "      <td id=\"T_e3d98_row141_col0\" class=\"data row141 col0\" >[19943]</td>\n",
+       "      <td id=\"T_e3d98_row141_col1\" class=\"data row141 col1\" >[]</td>\n",
+       "      <td id=\"T_e3d98_row141_col2\" class=\"data row141 col2\" >['A']</td>\n",
+       "      <td id=\"T_e3d98_row141_col3\" class=\"data row141 col3\" >1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_e3d98_level0_row142\" class=\"row_heading level0 row142\" >2005_SN25</th>\n",
+       "      <td id=\"T_e3d98_row142_col0\" class=\"data row142 col0\" >[56178]</td>\n",
+       "      <td id=\"T_e3d98_row142_col1\" class=\"data row142 col1\" >[0.03627320006489754]</td>\n",
+       "      <td id=\"T_e3d98_row142_col2\" class=\"data row142 col2\" >['I', 'I']</td>\n",
+       "      <td id=\"T_e3d98_row142_col3\" class=\"data row142 col3\" >2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_e3d98_level0_row143\" class=\"row_heading level0 row143\" >2005_TW91</th>\n",
+       "      <td id=\"T_e3d98_row143_col0\" class=\"data row143 col0\" >[51546]</td>\n",
+       "      <td id=\"T_e3d98_row143_col1\" class=\"data row143 col1\" >[0.06900459993630648]</td>\n",
+       "      <td id=\"T_e3d98_row143_col2\" class=\"data row143 col2\" >['T', 'T']</td>\n",
+       "      <td id=\"T_e3d98_row143_col3\" class=\"data row143 col3\" >2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_e3d98_level0_row144\" class=\"row_heading level0 row144\" >2006_AQ</th>\n",
+       "      <td id=\"T_e3d98_row144_col0\" class=\"data row144 col0\" >[68698 26677 51428]</td>\n",
+       "      <td id=\"T_e3d98_row144_col1\" class=\"data row144 col1\" >[0.0, 14.008263899944723]</td>\n",
+       "      <td id=\"T_e3d98_row144_col2\" class=\"data row144 col2\" >['N', 'N', 'A']</td>\n",
+       "      <td id=\"T_e3d98_row144_col3\" class=\"data row144 col3\" >3</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_e3d98_level0_row145\" class=\"row_heading level0 row145\" >2006_BA280</th>\n",
+       "      <td id=\"T_e3d98_row145_col0\" class=\"data row145 col0\" >[92187 92195]</td>\n",
+       "      <td id=\"T_e3d98_row145_col1\" class=\"data row145 col1\" >[1.936932799872011]</td>\n",
+       "      <td id=\"T_e3d98_row145_col2\" class=\"data row145 col2\" >['N', 'N']</td>\n",
+       "      <td id=\"T_e3d98_row145_col3\" class=\"data row145 col3\" >2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_e3d98_level0_row146\" class=\"row_heading level0 row146\" >2006_BE68</th>\n",
+       "      <td id=\"T_e3d98_row146_col0\" class=\"data row146 col0\" >[96136]</td>\n",
+       "      <td id=\"T_e3d98_row146_col1\" class=\"data row146 col1\" >[]</td>\n",
+       "      <td id=\"T_e3d98_row146_col2\" class=\"data row146 col2\" >['N']</td>\n",
+       "      <td id=\"T_e3d98_row146_col3\" class=\"data row146 col3\" >1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_e3d98_level0_row147\" class=\"row_heading level0 row147\" >2006_KK47</th>\n",
+       "      <td id=\"T_e3d98_row147_col0\" class=\"data row147 col0\" >[50144]</td>\n",
+       "      <td id=\"T_e3d98_row147_col1\" class=\"data row147 col1\" >[]</td>\n",
+       "      <td id=\"T_e3d98_row147_col2\" class=\"data row147 col2\" >['N']</td>\n",
+       "      <td id=\"T_e3d98_row147_col3\" class=\"data row147 col3\" >1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_e3d98_level0_row148\" class=\"row_heading level0 row148\" >2006_KZ18</th>\n",
+       "      <td id=\"T_e3d98_row148_col0\" class=\"data row148 col0\" >[97069 90516]</td>\n",
+       "      <td id=\"T_e3d98_row148_col1\" class=\"data row148 col1\" >[0.0]</td>\n",
+       "      <td id=\"T_e3d98_row148_col2\" class=\"data row148 col2\" >['N', 'N']</td>\n",
+       "      <td id=\"T_e3d98_row148_col3\" class=\"data row148 col3\" >2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_e3d98_level0_row149\" class=\"row_heading level0 row149\" >2006_NM</th>\n",
+       "      <td id=\"T_e3d98_row149_col0\" class=\"data row149 col0\" >[2824]</td>\n",
+       "      <td id=\"T_e3d98_row149_col1\" class=\"data row149 col1\" >[0.010474500246345997, 0.014537000097334385]</td>\n",
+       "      <td id=\"T_e3d98_row149_col2\" class=\"data row149 col2\" >['I', 'I', 'I']</td>\n",
+       "      <td id=\"T_e3d98_row149_col3\" class=\"data row149 col3\" >3</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_e3d98_level0_row150\" class=\"row_heading level0 row150\" >2006_QB168</th>\n",
+       "      <td id=\"T_e3d98_row150_col0\" class=\"data row150 col0\" >[84197]</td>\n",
+       "      <td id=\"T_e3d98_row150_col1\" class=\"data row150 col1\" >[0.01262729987502098, 0.9983101999387145]</td>\n",
+       "      <td id=\"T_e3d98_row150_col2\" class=\"data row150 col2\" >['I', 'I', 'A']</td>\n",
+       "      <td id=\"T_e3d98_row150_col3\" class=\"data row150 col3\" >3</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_e3d98_level0_row151\" class=\"row_heading level0 row151\" >2006_SG33</th>\n",
+       "      <td id=\"T_e3d98_row151_col0\" class=\"data row151 col0\" >[51560 50182]</td>\n",
+       "      <td id=\"T_e3d98_row151_col1\" class=\"data row151 col1\" >[0.047893499955534935]</td>\n",
+       "      <td id=\"T_e3d98_row151_col2\" class=\"data row151 col2\" >['N', 'N']</td>\n",
+       "      <td id=\"T_e3d98_row151_col3\" class=\"data row151 col3\" >2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_e3d98_level0_row152\" class=\"row_heading level0 row152\" >2006_TR101</th>\n",
+       "      <td id=\"T_e3d98_row152_col0\" class=\"data row152 col0\" >[47250 47095]</td>\n",
+       "      <td id=\"T_e3d98_row152_col1\" class=\"data row152 col1\" >[0.0]</td>\n",
+       "      <td id=\"T_e3d98_row152_col2\" class=\"data row152 col2\" >['A', 'A']</td>\n",
+       "      <td id=\"T_e3d98_row152_col3\" class=\"data row152 col3\" >2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_e3d98_level0_row153\" class=\"row_heading level0 row153\" >2006_UA190</th>\n",
+       "      <td id=\"T_e3d98_row153_col0\" class=\"data row153 col0\" >[21740]</td>\n",
+       "      <td id=\"T_e3d98_row153_col1\" class=\"data row153 col1\" >[]</td>\n",
+       "      <td id=\"T_e3d98_row153_col2\" class=\"data row153 col2\" >['A']</td>\n",
+       "      <td id=\"T_e3d98_row153_col3\" class=\"data row153 col3\" >1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_e3d98_level0_row154\" class=\"row_heading level0 row154\" >2006_UJ268</th>\n",
+       "      <td id=\"T_e3d98_row154_col0\" class=\"data row154 col0\" >[96135]</td>\n",
+       "      <td id=\"T_e3d98_row154_col1\" class=\"data row154 col1\" >[]</td>\n",
+       "      <td id=\"T_e3d98_row154_col2\" class=\"data row154 col2\" >['N']</td>\n",
+       "      <td id=\"T_e3d98_row154_col3\" class=\"data row154 col3\" >1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_e3d98_level0_row155\" class=\"row_heading level0 row155\" >2007_BG49</th>\n",
+       "      <td id=\"T_e3d98_row155_col0\" class=\"data row155 col0\" >[71190 51560 50182]</td>\n",
+       "      <td id=\"T_e3d98_row155_col1\" class=\"data row155 col1\" >[3.0189582998864353, 0.0]</td>\n",
+       "      <td id=\"T_e3d98_row155_col2\" class=\"data row155 col2\" >['N', 'A', 'A']</td>\n",
+       "      <td id=\"T_e3d98_row155_col3\" class=\"data row155 col3\" >3</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_e3d98_level0_row156\" class=\"row_heading level0 row156\" >2007_SM11</th>\n",
+       "      <td id=\"T_e3d98_row156_col0\" class=\"data row156 col0\" >[2824]</td>\n",
+       "      <td id=\"T_e3d98_row156_col1\" class=\"data row156 col1\" >[]</td>\n",
+       "      <td id=\"T_e3d98_row156_col2\" class=\"data row156 col2\" >['A']</td>\n",
+       "      <td id=\"T_e3d98_row156_col3\" class=\"data row156 col3\" >1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_e3d98_level0_row157\" class=\"row_heading level0 row157\" >2007_VA238</th>\n",
+       "      <td id=\"T_e3d98_row157_col0\" class=\"data row157 col0\" >[97063]</td>\n",
+       "      <td id=\"T_e3d98_row157_col1\" class=\"data row157 col1\" >[]</td>\n",
+       "      <td id=\"T_e3d98_row157_col2\" class=\"data row157 col2\" >['N']</td>\n",
+       "      <td id=\"T_e3d98_row157_col3\" class=\"data row157 col3\" >1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_e3d98_level0_row158\" class=\"row_heading level0 row158\" >2008_GD133</th>\n",
+       "      <td id=\"T_e3d98_row158_col0\" class=\"data row158 col0\" >[51547]</td>\n",
+       "      <td id=\"T_e3d98_row158_col1\" class=\"data row158 col1\" >[]</td>\n",
+       "      <td id=\"T_e3d98_row158_col2\" class=\"data row158 col2\" >['N']</td>\n",
+       "      <td id=\"T_e3d98_row158_col3\" class=\"data row158 col3\" >1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_e3d98_level0_row159\" class=\"row_heading level0 row159\" >2008_PV2</th>\n",
+       "      <td id=\"T_e3d98_row159_col0\" class=\"data row159 col0\" >[47095 47250]</td>\n",
+       "      <td id=\"T_e3d98_row159_col1\" class=\"data row159 col1\" >[0.0]</td>\n",
+       "      <td id=\"T_e3d98_row159_col2\" class=\"data row159 col2\" >['A', 'A']</td>\n",
+       "      <td id=\"T_e3d98_row159_col3\" class=\"data row159 col3\" >2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_e3d98_level0_row160\" class=\"row_heading level0 row160\" >2008_SS251</th>\n",
+       "      <td id=\"T_e3d98_row160_col0\" class=\"data row160 col0\" >[53295 53267]</td>\n",
+       "      <td id=\"T_e3d98_row160_col1\" class=\"data row160 col1\" >[0.020555600058287382, 1.9163772999309003]</td>\n",
+       "      <td id=\"T_e3d98_row160_col2\" class=\"data row160 col2\" >['I', 'I', 'T']</td>\n",
+       "      <td id=\"T_e3d98_row160_col3\" class=\"data row160 col3\" >3</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_e3d98_level0_row161\" class=\"row_heading level0 row161\" >2008_WR58</th>\n",
+       "      <td id=\"T_e3d98_row161_col0\" class=\"data row161 col0\" >[92196]</td>\n",
+       "      <td id=\"T_e3d98_row161_col1\" class=\"data row161 col1\" >[]</td>\n",
+       "      <td id=\"T_e3d98_row161_col2\" class=\"data row161 col2\" >['N']</td>\n",
+       "      <td id=\"T_e3d98_row161_col3\" class=\"data row161 col3\" >1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_e3d98_level0_row162\" class=\"row_heading level0 row162\" >2010_KX104</th>\n",
+       "      <td id=\"T_e3d98_row162_col0\" class=\"data row162 col0\" >[22901]</td>\n",
+       "      <td id=\"T_e3d98_row162_col1\" class=\"data row162 col1\" >[]</td>\n",
+       "      <td id=\"T_e3d98_row162_col2\" class=\"data row162 col2\" >['A']</td>\n",
+       "      <td id=\"T_e3d98_row162_col3\" class=\"data row162 col3\" >1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_e3d98_level0_row163\" class=\"row_heading level0 row163\" >2010_XL33</th>\n",
+       "      <td id=\"T_e3d98_row163_col0\" class=\"data row163 col0\" >[95776]</td>\n",
+       "      <td id=\"T_e3d98_row163_col1\" class=\"data row163 col1\" >[]</td>\n",
+       "      <td id=\"T_e3d98_row163_col2\" class=\"data row163 col2\" >['N']</td>\n",
+       "      <td id=\"T_e3d98_row163_col3\" class=\"data row163 col3\" >1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_e3d98_level0_row164\" class=\"row_heading level0 row164\" >2010_XT45</th>\n",
+       "      <td id=\"T_e3d98_row164_col0\" class=\"data row164 col0\" >[88064 48907 48906 48904 12998 26059 48905 23913 36031 36032]</td>\n",
+       "      <td id=\"T_e3d98_row164_col1\" class=\"data row164 col1\" >[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 2.8951620999723673, 0.0, 0.0]</td>\n",
+       "      <td id=\"T_e3d98_row164_col2\" class=\"data row164 col2\" >['N', 'N', 'N', 'N', 'N', 'N', 'N', 'N', 'N', 'N']</td>\n",
+       "      <td id=\"T_e3d98_row164_col3\" class=\"data row164 col3\" >10</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_e3d98_level0_row165\" class=\"row_heading level0 row165\" >2011_BK146</th>\n",
+       "      <td id=\"T_e3d98_row165_col0\" class=\"data row165 col0\" >[97121]</td>\n",
+       "      <td id=\"T_e3d98_row165_col1\" class=\"data row165 col1\" >[]</td>\n",
+       "      <td id=\"T_e3d98_row165_col2\" class=\"data row165 col2\" >['N']</td>\n",
+       "      <td id=\"T_e3d98_row165_col3\" class=\"data row165 col3\" >1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_e3d98_level0_row166\" class=\"row_heading level0 row166\" >2011_XZ1</th>\n",
+       "      <td id=\"T_e3d98_row166_col0\" class=\"data row166 col0\" >[25397]</td>\n",
+       "      <td id=\"T_e3d98_row166_col1\" class=\"data row166 col1\" >[0.03936340007930994, 7.0764120002277195]</td>\n",
+       "      <td id=\"T_e3d98_row166_col2\" class=\"data row166 col2\" >['I', 'I', 'A']</td>\n",
+       "      <td id=\"T_e3d98_row166_col3\" class=\"data row166 col3\" >3</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_e3d98_level0_row167\" class=\"row_heading level0 row167\" >2012_SF51</th>\n",
+       "      <td id=\"T_e3d98_row167_col0\" class=\"data row167 col0\" >[71118 94439 94580 94435]</td>\n",
+       "      <td id=\"T_e3d98_row167_col1\" class=\"data row167 col1\" >[3.0372917000204325, 0.0, 0.0]</td>\n",
+       "      <td id=\"T_e3d98_row167_col2\" class=\"data row167 col2\" >['N', 'N', 'N', 'N']</td>\n",
+       "      <td id=\"T_e3d98_row167_col3\" class=\"data row167 col3\" >4</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_e3d98_level0_row168\" class=\"row_heading level0 row168\" >2012_TV311</th>\n",
+       "      <td id=\"T_e3d98_row168_col0\" class=\"data row168 col0\" >[31004]</td>\n",
+       "      <td id=\"T_e3d98_row168_col1\" class=\"data row168 col1\" >[]</td>\n",
+       "      <td id=\"T_e3d98_row168_col2\" class=\"data row168 col2\" >['A']</td>\n",
+       "      <td id=\"T_e3d98_row168_col3\" class=\"data row168 col3\" >1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_e3d98_level0_row169\" class=\"row_heading level0 row169\" >3500_T-3</th>\n",
+       "      <td id=\"T_e3d98_row169_col0\" class=\"data row169 col0\" >[23571 22882 47317 35301 35302 35303 35819 35821 47263 35822 23568]</td>\n",
+       "      <td id=\"T_e3d98_row169_col1\" class=\"data row169 col1\" >[1.9974536998197436, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]</td>\n",
+       "      <td id=\"T_e3d98_row169_col2\" class=\"data row169 col2\" >['N', 'N', 'N', 'N', 'N', 'N', 'N', 'N', 'N', 'N', 'N']</td>\n",
+       "      <td id=\"T_e3d98_row169_col3\" class=\"data row169 col3\" >11</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_e3d98_level0_row170\" class=\"row_heading level0 row170\" >4056_P-L</th>\n",
+       "      <td id=\"T_e3d98_row170_col0\" class=\"data row170 col0\" >[23913]</td>\n",
+       "      <td id=\"T_e3d98_row170_col1\" class=\"data row170 col1\" >[]</td>\n",
+       "      <td id=\"T_e3d98_row170_col2\" class=\"data row170 col2\" >['A']</td>\n",
+       "      <td id=\"T_e3d98_row170_col3\" class=\"data row170 col3\" >1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_e3d98_level0_row171\" class=\"row_heading level0 row171\" >4206_P-L</th>\n",
+       "      <td id=\"T_e3d98_row171_col0\" class=\"data row171 col0\" >[66324]</td>\n",
+       "      <td id=\"T_e3d98_row171_col1\" class=\"data row171 col1\" >[]</td>\n",
+       "      <td id=\"T_e3d98_row171_col2\" class=\"data row171 col2\" >['N']</td>\n",
+       "      <td id=\"T_e3d98_row171_col3\" class=\"data row171 col3\" >1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_e3d98_level0_row172\" class=\"row_heading level0 row172\" >4788_P-L</th>\n",
+       "      <td id=\"T_e3d98_row172_col0\" class=\"data row172 col0\" >[67528 67527 67529 58540]</td>\n",
+       "      <td id=\"T_e3d98_row172_col1\" class=\"data row172 col1\" >[0.0, 0.0, 4.873530100099742, 0.048044000286608934, 0.029814799781888723]</td>\n",
+       "      <td id=\"T_e3d98_row172_col2\" class=\"data row172 col2\" >['A', 'A', 'A', 'I', 'I', 'I']</td>\n",
+       "      <td id=\"T_e3d98_row172_col3\" class=\"data row172 col3\" >6</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_e3d98_level0_row173\" class=\"row_heading level0 row173\" >Alinda</th>\n",
+       "      <td id=\"T_e3d98_row173_col0\" class=\"data row173 col0\" >[39411 57135 79900]</td>\n",
+       "      <td id=\"T_e3d98_row173_col1\" class=\"data row173 col1\" >[0.04748849989846349, 0.9384606000967324, 0.03487269999459386, 1.9717244999483228, 0.01606479985639453, 0.04236110020428896, 0.015405099838972092]</td>\n",
+       "      <td id=\"T_e3d98_row173_col2\" class=\"data row173 col2\" >['I', 'I', 'I', 'I', 'I', 'I', 'I', 'I']</td>\n",
+       "      <td id=\"T_e3d98_row173_col3\" class=\"data row173 col3\" >8</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_e3d98_level0_row174\" class=\"row_heading level0 row174\" >Andrewleung</th>\n",
+       "      <td id=\"T_e3d98_row174_col0\" class=\"data row174 col0\" >[69582 15913]</td>\n",
+       "      <td id=\"T_e3d98_row174_col1\" class=\"data row174 col1\" >[0.0]</td>\n",
+       "      <td id=\"T_e3d98_row174_col2\" class=\"data row174 col2\" >['N', 'N']</td>\n",
+       "      <td id=\"T_e3d98_row174_col3\" class=\"data row174 col3\" >2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_e3d98_level0_row175\" class=\"row_heading level0 row175\" >Boynton</th>\n",
+       "      <td id=\"T_e3d98_row175_col0\" class=\"data row175 col0\" >[21740 21741 88612]</td>\n",
+       "      <td id=\"T_e3d98_row175_col1\" class=\"data row175 col1\" >[0.0, 0.0]</td>\n",
+       "      <td id=\"T_e3d98_row175_col2\" class=\"data row175 col2\" >['A', 'A', 'A']</td>\n",
+       "      <td id=\"T_e3d98_row175_col3\" class=\"data row175 col3\" >3</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_e3d98_level0_row176\" class=\"row_heading level0 row176\" >Bronislawa</th>\n",
+       "      <td id=\"T_e3d98_row176_col0\" class=\"data row176 col0\" >[36032]</td>\n",
+       "      <td id=\"T_e3d98_row176_col1\" class=\"data row176 col1\" >[]</td>\n",
+       "      <td id=\"T_e3d98_row176_col2\" class=\"data row176 col2\" >['A']</td>\n",
+       "      <td id=\"T_e3d98_row176_col3\" class=\"data row176 col3\" >1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_e3d98_level0_row177\" class=\"row_heading level0 row177\" >Chigorin</th>\n",
+       "      <td id=\"T_e3d98_row177_col0\" class=\"data row177 col0\" >[92876]</td>\n",
+       "      <td id=\"T_e3d98_row177_col1\" class=\"data row177 col1\" >[]</td>\n",
+       "      <td id=\"T_e3d98_row177_col2\" class=\"data row177 col2\" >['N']</td>\n",
+       "      <td id=\"T_e3d98_row177_col3\" class=\"data row177 col3\" >1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_e3d98_level0_row178\" class=\"row_heading level0 row178\" >Cleobulus</th>\n",
+       "      <td id=\"T_e3d98_row178_col0\" class=\"data row178 col0\" >[29008 22901]</td>\n",
+       "      <td id=\"T_e3d98_row178_col1\" class=\"data row178 col1\" >[0.0]</td>\n",
+       "      <td id=\"T_e3d98_row178_col2\" class=\"data row178 col2\" >['N', 'N']</td>\n",
+       "      <td id=\"T_e3d98_row178_col3\" class=\"data row178 col3\" >2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_e3d98_level0_row179\" class=\"row_heading level0 row179\" >Climenhaga</th>\n",
+       "      <td id=\"T_e3d98_row179_col0\" class=\"data row179 col0\" >[23775]</td>\n",
+       "      <td id=\"T_e3d98_row179_col1\" class=\"data row179 col1\" >[]</td>\n",
+       "      <td id=\"T_e3d98_row179_col2\" class=\"data row179 col2\" >['A']</td>\n",
+       "      <td id=\"T_e3d98_row179_col3\" class=\"data row179 col3\" >1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_e3d98_level0_row180\" class=\"row_heading level0 row180\" >Eyjafjallajokull</th>\n",
+       "      <td id=\"T_e3d98_row180_col0\" class=\"data row180 col0\" >[67529 67527 67528]</td>\n",
+       "      <td id=\"T_e3d98_row180_col1\" class=\"data row180 col1\" >[0.0, 0.0, 0.003865700215101242, 0.0, 0.0]</td>\n",
+       "      <td id=\"T_e3d98_row180_col2\" class=\"data row180 col2\" >['I', 'I', 'I', 'I', 'I', 'I']</td>\n",
+       "      <td id=\"T_e3d98_row180_col3\" class=\"data row180 col3\" >6</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_e3d98_level0_row181\" class=\"row_heading level0 row181\" >Fouchard</th>\n",
+       "      <td id=\"T_e3d98_row181_col0\" class=\"data row181 col0\" >[22882 23568]</td>\n",
+       "      <td id=\"T_e3d98_row181_col1\" class=\"data row181 col1\" >[0.0]</td>\n",
+       "      <td id=\"T_e3d98_row181_col2\" class=\"data row181 col2\" >['A', 'A']</td>\n",
+       "      <td id=\"T_e3d98_row181_col3\" class=\"data row181 col3\" >2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_e3d98_level0_row182\" class=\"row_heading level0 row182\" >Giannigalli</th>\n",
+       "      <td id=\"T_e3d98_row182_col0\" class=\"data row182 col0\" >[20596]</td>\n",
+       "      <td id=\"T_e3d98_row182_col1\" class=\"data row182 col1\" >[0.08501160005107522]</td>\n",
+       "      <td id=\"T_e3d98_row182_col2\" class=\"data row182 col2\" >['I', 'I']</td>\n",
+       "      <td id=\"T_e3d98_row182_col3\" class=\"data row182 col3\" >2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_e3d98_level0_row183\" class=\"row_heading level0 row183\" >Goodhue</th>\n",
+       "      <td id=\"T_e3d98_row183_col0\" class=\"data row183 col0\" >[47263 35822 47317 35303]</td>\n",
+       "      <td id=\"T_e3d98_row183_col1\" class=\"data row183 col1\" >[0.0, 0.0, 0.0, 1.9634374999441206, 0.0, 0.11280089989304543, 0.0]</td>\n",
+       "      <td id=\"T_e3d98_row183_col2\" class=\"data row183 col2\" >['A', 'A', 'A', 'A', 'A', 'A', 'A', 'A']</td>\n",
+       "      <td id=\"T_e3d98_row183_col3\" class=\"data row183 col3\" >8</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_e3d98_level0_row184\" class=\"row_heading level0 row184\" >Hephaistos</th>\n",
+       "      <td id=\"T_e3d98_row184_col0\" class=\"data row184 col0\" >[25098 33410 23776 23775 48065 19550 28603 19575 67276 23760 25109 46805\n",
+       " 61488]</td>\n",
+       "      <td id=\"T_e3d98_row184_col1\" class=\"data row184 col1\" >[0.0, 0.0, 0.0, 1.999780099838972, 0.0, 0.1192013998515904, 0.0, 0.9578819000162184, 4.999536999966949, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 4.034097299911082, 0.9104629000648856, 0.023356500081717968]</td>\n",
+       "      <td id=\"T_e3d98_row184_col2\" class=\"data row184 col2\" >['N', 'N', 'N', 'N', 'I', 'I', 'I', 'I', 'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A', 'I', 'I']</td>\n",
+       "      <td id=\"T_e3d98_row184_col3\" class=\"data row184 col3\" >19</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_e3d98_level0_row185\" class=\"row_heading level0 row185\" >Hermes</th>\n",
+       "      <td id=\"T_e3d98_row185_col0\" class=\"data row185 col0\" >[31004]</td>\n",
+       "      <td id=\"T_e3d98_row185_col1\" class=\"data row185 col1\" >[0.0322569003328681]</td>\n",
+       "      <td id=\"T_e3d98_row185_col2\" class=\"data row185 col2\" >['I', 'I']</td>\n",
+       "      <td id=\"T_e3d98_row185_col3\" class=\"data row185 col3\" >2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_e3d98_level0_row186\" class=\"row_heading level0 row186\" >Kamenka</th>\n",
+       "      <td id=\"T_e3d98_row186_col0\" class=\"data row186 col0\" >[36501 24817 88021 88022]</td>\n",
+       "      <td id=\"T_e3d98_row186_col1\" class=\"data row186 col1\" >[0.06523150019347668, 0.0, 0.0]</td>\n",
+       "      <td id=\"T_e3d98_row186_col2\" class=\"data row186 col2\" >['A', 'A', 'A', 'A']</td>\n",
+       "      <td id=\"T_e3d98_row186_col3\" class=\"data row186 col3\" >4</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_e3d98_level0_row187\" class=\"row_heading level0 row187\" >Kobayashi</th>\n",
+       "      <td id=\"T_e3d98_row187_col0\" class=\"data row187 col0\" >[22411]</td>\n",
+       "      <td id=\"T_e3d98_row187_col1\" class=\"data row187 col1\" >[0.06523150019347668, 1.9725579000078142]</td>\n",
+       "      <td id=\"T_e3d98_row187_col2\" class=\"data row187 col2\" >['T', 'T', 'A']</td>\n",
+       "      <td id=\"T_e3d98_row187_col3\" class=\"data row187 col3\" >3</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_e3d98_level0_row188\" class=\"row_heading level0 row188\" >Kristibutler</th>\n",
+       "      <td id=\"T_e3d98_row188_col0\" class=\"data row188 col0\" >[35821 35302]</td>\n",
+       "      <td id=\"T_e3d98_row188_col1\" class=\"data row188 col1\" >[0.0, 1.9634374999441206, 0.0, 0.11280089989304543, 0.0]</td>\n",
+       "      <td id=\"T_e3d98_row188_col2\" class=\"data row188 col2\" >['A', 'A', 'T', 'T', 'T', 'T']</td>\n",
+       "      <td id=\"T_e3d98_row188_col3\" class=\"data row188 col3\" >6</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_e3d98_level0_row189\" class=\"row_heading level0 row189\" >Licandro</th>\n",
+       "      <td id=\"T_e3d98_row189_col0\" class=\"data row189 col0\" >[47095 34619]</td>\n",
+       "      <td id=\"T_e3d98_row189_col1\" class=\"data row189 col1\" >[0.0, 0.14107639994472265, 0.0]</td>\n",
+       "      <td id=\"T_e3d98_row189_col2\" class=\"data row189 col2\" >['I', 'I', 'I', 'I']</td>\n",
+       "      <td id=\"T_e3d98_row189_col3\" class=\"data row189 col3\" >4</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_e3d98_level0_row190\" class=\"row_heading level0 row190\" >Mammuthus</th>\n",
+       "      <td id=\"T_e3d98_row190_col0\" class=\"data row190 col0\" >[33410]</td>\n",
+       "      <td id=\"T_e3d98_row190_col1\" class=\"data row190 col1\" >[]</td>\n",
+       "      <td id=\"T_e3d98_row190_col2\" class=\"data row190 col2\" >['A']</td>\n",
+       "      <td id=\"T_e3d98_row190_col3\" class=\"data row190 col3\" >1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_e3d98_level0_row191\" class=\"row_heading level0 row191\" >Martinuboh</th>\n",
+       "      <td id=\"T_e3d98_row191_col0\" class=\"data row191 col0\" >[20596 35154 20597 24484]</td>\n",
+       "      <td id=\"T_e3d98_row191_col1\" class=\"data row191 col1\" >[0.0, 0.0, 0.0, 0.08888890035450459, 0.0, 0.0, 0.0]</td>\n",
+       "      <td id=\"T_e3d98_row191_col2\" class=\"data row191 col2\" >['T', 'T', 'T', 'T', 'T', 'T', 'T', 'T']</td>\n",
+       "      <td id=\"T_e3d98_row191_col3\" class=\"data row191 col3\" >8</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_e3d98_level0_row192\" class=\"row_heading level0 row192\" >Minos</th>\n",
+       "      <td id=\"T_e3d98_row192_col0\" class=\"data row192 col0\" >[47249 47095 34619 35217 47250 95250 95222]</td>\n",
+       "      <td id=\"T_e3d98_row192_col1\" class=\"data row192 col1\" >[0.0, 0.0, 0.0, 0.0, 4.983669000212103, 0.0]</td>\n",
+       "      <td id=\"T_e3d98_row192_col2\" class=\"data row192 col2\" >['A', 'A', 'A', 'A', 'A', 'N', 'N']</td>\n",
+       "      <td id=\"T_e3d98_row192_col3\" class=\"data row192 col3\" >7</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_e3d98_level0_row193\" class=\"row_heading level0 row193\" >Mithra</th>\n",
+       "      <td id=\"T_e3d98_row193_col0\" class=\"data row193 col0\" >[19943 67810]</td>\n",
+       "      <td id=\"T_e3d98_row193_col1\" class=\"data row193 col1\" >[2.9421989996917546, 0.023819500114768744]</td>\n",
+       "      <td id=\"T_e3d98_row193_col2\" class=\"data row193 col2\" >['A', 'T', 'T']</td>\n",
+       "      <td id=\"T_e3d98_row193_col3\" class=\"data row193 col3\" >3</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_e3d98_level0_row194\" class=\"row_heading level0 row194\" >Morpheus</th>\n",
+       "      <td id=\"T_e3d98_row194_col0\" class=\"data row194 col0\" >[92195 92197 92196 97351 92187]</td>\n",
+       "      <td id=\"T_e3d98_row194_col1\" class=\"data row194 col1\" >[0.0, 0.0, 0.0, 1.936932799872011]</td>\n",
+       "      <td id=\"T_e3d98_row194_col2\" class=\"data row194 col2\" >['N', 'N', 'N', 'N', 'N']</td>\n",
+       "      <td id=\"T_e3d98_row194_col3\" class=\"data row194 col3\" >5</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_e3d98_level0_row195\" class=\"row_heading level0 row195\" >Olgapopova</th>\n",
+       "      <td id=\"T_e3d98_row195_col0\" class=\"data row195 col0\" >[24490]</td>\n",
+       "      <td id=\"T_e3d98_row195_col1\" class=\"data row195 col1\" >[]</td>\n",
+       "      <td id=\"T_e3d98_row195_col2\" class=\"data row195 col2\" >['N']</td>\n",
+       "      <td id=\"T_e3d98_row195_col3\" class=\"data row195 col3\" >1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_e3d98_level0_row196\" class=\"row_heading level0 row196\" >Pan_(Asteroid)</th>\n",
+       "      <td id=\"T_e3d98_row196_col0\" class=\"data row196 col0\" >[21741 21740 88612 26646 66324 15913 69582 26627 58869 89616]</td>\n",
+       "      <td id=\"T_e3d98_row196_col1\" class=\"data row196 col1\" >[0.0, 0.0, 0.02165509993210435, 0.0, 0.0, 1.9424884002655745, 0.0, 0.9268865999765694, 0.0, 6.101435199845582, 0.0, 1.9419444003142416, 0.023634299635887146, 2.9485880001448095, 0.006863399874418974, 2.0272568999789655]</td>\n",
+       "      <td id=\"T_e3d98_row196_col2\" class=\"data row196 col2\" >['I', 'I', 'I', 'I', 'I', 'I', 'N', 'N', 'A', 'A', 'A', 'A', 'T', 'T', 'I', 'I', 'N']</td>\n",
+       "      <td id=\"T_e3d98_row196_col3\" class=\"data row196 col3\" >17</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_e3d98_level0_row197\" class=\"row_heading level0 row197\" >Peixinho</th>\n",
+       "      <td id=\"T_e3d98_row197_col0\" class=\"data row197 col0\" >[51428]</td>\n",
+       "      <td id=\"T_e3d98_row197_col1\" class=\"data row197 col1\" >[]</td>\n",
+       "      <td id=\"T_e3d98_row197_col2\" class=\"data row197 col2\" >['N']</td>\n",
+       "      <td id=\"T_e3d98_row197_col3\" class=\"data row197 col3\" >1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_e3d98_level0_row198\" class=\"row_heading level0 row198\" >Petekirkland</th>\n",
+       "      <td id=\"T_e3d98_row198_col0\" class=\"data row198 col0\" >[19271]</td>\n",
+       "      <td id=\"T_e3d98_row198_col1\" class=\"data row198 col1\" >[0.10741900000721216]</td>\n",
+       "      <td id=\"T_e3d98_row198_col2\" class=\"data row198 col2\" >['T', 'T']</td>\n",
+       "      <td id=\"T_e3d98_row198_col3\" class=\"data row198 col3\" >2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_e3d98_level0_row199\" class=\"row_heading level0 row199\" >Petit</th>\n",
+       "      <td id=\"T_e3d98_row199_col0\" class=\"data row199 col0\" >[88064 26059 48907 48906 12998 48904 48905]</td>\n",
+       "      <td id=\"T_e3d98_row199_col1\" class=\"data row199 col1\" >[0.0, 0.03498840006068349, 0.0, 0.0, 0.0, 0.0]</td>\n",
+       "      <td id=\"T_e3d98_row199_col2\" class=\"data row199 col2\" >['A', 'A', 'A', 'A', 'A', 'A', 'A']</td>\n",
+       "      <td id=\"T_e3d98_row199_col3\" class=\"data row199 col3\" >7</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_e3d98_level0_row200\" class=\"row_heading level0 row200\" >Ponsen</th>\n",
+       "      <td id=\"T_e3d98_row200_col0\" class=\"data row200 col0\" >[23760]</td>\n",
+       "      <td id=\"T_e3d98_row200_col1\" class=\"data row200 col1\" >[]</td>\n",
+       "      <td id=\"T_e3d98_row200_col2\" class=\"data row200 col2\" >['N']</td>\n",
+       "      <td id=\"T_e3d98_row200_col3\" class=\"data row200 col3\" >1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_e3d98_level0_row201\" class=\"row_heading level0 row201\" >Rameau</th>\n",
+       "      <td id=\"T_e3d98_row201_col0\" class=\"data row201 col0\" >[24484]</td>\n",
+       "      <td id=\"T_e3d98_row201_col1\" class=\"data row201 col1\" >[]</td>\n",
+       "      <td id=\"T_e3d98_row201_col2\" class=\"data row201 col2\" >['N']</td>\n",
+       "      <td id=\"T_e3d98_row201_col3\" class=\"data row201 col3\" >1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_e3d98_level0_row202\" class=\"row_heading level0 row202\" >Ryugu</th>\n",
+       "      <td id=\"T_e3d98_row202_col0\" class=\"data row202 col0\" >[95776 80325]</td>\n",
+       "      <td id=\"T_e3d98_row202_col1\" class=\"data row202 col1\" >[1.9717361996881664, 0.019976800307631493, 0.04149309964850545, 0.025949000380933285]</td>\n",
+       "      <td id=\"T_e3d98_row202_col2\" class=\"data row202 col2\" >['N', 'I', 'I', 'I', 'I']</td>\n",
+       "      <td id=\"T_e3d98_row202_col3\" class=\"data row202 col3\" >5</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_e3d98_level0_row203\" class=\"row_heading level0 row203\" >Seleucus</th>\n",
+       "      <td id=\"T_e3d98_row203_col0\" class=\"data row203 col0\" >[55199]</td>\n",
+       "      <td id=\"T_e3d98_row203_col1\" class=\"data row203 col1\" >[0.0172453997656703]</td>\n",
+       "      <td id=\"T_e3d98_row203_col2\" class=\"data row203 col2\" >['I', 'I']</td>\n",
+       "      <td id=\"T_e3d98_row203_col3\" class=\"data row203 col3\" >2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_e3d98_level0_row204\" class=\"row_heading level0 row204\" >Shakhovskoj</th>\n",
+       "      <td id=\"T_e3d98_row204_col0\" class=\"data row204 col0\" >[88837]</td>\n",
+       "      <td id=\"T_e3d98_row204_col1\" class=\"data row204 col1\" >[0.013275399804115295, 0.06510420003905892]</td>\n",
+       "      <td id=\"T_e3d98_row204_col2\" class=\"data row204 col2\" >['I', 'I', 'I']</td>\n",
+       "      <td id=\"T_e3d98_row204_col3\" class=\"data row204 col3\" >3</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_e3d98_level0_row205\" class=\"row_heading level0 row205\" >Shaneludwig</th>\n",
+       "      <td id=\"T_e3d98_row205_col0\" class=\"data row205 col0\" >[33571]</td>\n",
+       "      <td id=\"T_e3d98_row205_col1\" class=\"data row205 col1\" >[]</td>\n",
+       "      <td id=\"T_e3d98_row205_col2\" class=\"data row205 col2\" >['A']</td>\n",
+       "      <td id=\"T_e3d98_row205_col3\" class=\"data row205 col3\" >1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_e3d98_level0_row206\" class=\"row_heading level0 row206\" >Smoluchowski</th>\n",
+       "      <td id=\"T_e3d98_row206_col0\" class=\"data row206 col0\" >[23558]</td>\n",
+       "      <td id=\"T_e3d98_row206_col1\" class=\"data row206 col1\" >[]</td>\n",
+       "      <td id=\"T_e3d98_row206_col2\" class=\"data row206 col2\" >['A']</td>\n",
+       "      <td id=\"T_e3d98_row206_col3\" class=\"data row206 col3\" >1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_e3d98_level0_row207\" class=\"row_heading level0 row207\" >Tensho-kan</th>\n",
+       "      <td id=\"T_e3d98_row207_col0\" class=\"data row207 col0\" >[20597]</td>\n",
+       "      <td id=\"T_e3d98_row207_col1\" class=\"data row207 col1\" >[0.08501160005107522]</td>\n",
+       "      <td id=\"T_e3d98_row207_col2\" class=\"data row207 col2\" >['I', 'I']</td>\n",
+       "      <td id=\"T_e3d98_row207_col3\" class=\"data row207 col3\" >2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_e3d98_level0_row208\" class=\"row_heading level0 row208\" >Viikinkoski</th>\n",
+       "      <td id=\"T_e3d98_row208_col0\" class=\"data row208 col0\" >[33571 26671]</td>\n",
+       "      <td id=\"T_e3d98_row208_col1\" class=\"data row208 col1\" >[0.0]</td>\n",
+       "      <td id=\"T_e3d98_row208_col2\" class=\"data row208 col2\" >['N', 'N']</td>\n",
+       "      <td id=\"T_e3d98_row208_col3\" class=\"data row208 col3\" >2</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n"
+      ],
+      "text/plain": [
+       "<pandas.io.formats.style.Styler at 0x7f287835b850>"
+      ]
+     },
+     "execution_count": 97,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "m.sort_values(\"jd\").groupby(\"sso_id\").agg(\n",
+    "        traj_ids=(\"trajectory_id\", \"unique\"),\n",
+    "        diff_jd=(\"jd\", lambda x: list(np.diff(x))),\n",
+    "        tags=(\"assoc_tag\", list),\n",
+    "        nb_point=(\"trajectory_id\", len)\n",
+    "    ).style.format(precision=2)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "fink_fat_env",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.7.6"
+  },
+  "orig_nbformat": 4
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
diff --git a/notebook/parameters_selection/run_ff_for_kbo_neo_issue.py b/notebook/parameters_selection/run_ff_for_kbo_neo_issue.py
new file mode 100644
index 00000000..071d1ff8
--- /dev/null
+++ b/notebook/parameters_selection/run_ff_for_kbo_neo_issue.py
@@ -0,0 +1,42 @@
+import subprocess
+import shutil
+
+
+if __name__ == "__main__":
+    from datetime import date, timedelta
+
+    start_date = date(2020, 9, 1)
+    end_date = date(2020, 10, 1)  # perhaps date.now()
+
+    delta = end_date - start_date  # returns timedelta
+
+    for i in range(delta.days + 1):
+        curr_date = start_date + timedelta(days=i)
+
+        print(curr_date)
+        ff_assoc_command = f"fink_fat associations mpc --night {curr_date} --config ../fink_fat_experiments/kbo_neo_issue.conf --verbose"
+        ff_orbit_command = "fink_fat solve_orbit mpc local --config ../fink_fat_experiments/kbo_neo_issue.conf --verbose"
+
+        results_assoc = subprocess.run(
+            ff_assoc_command, shell=True, universal_newlines=True, check=True
+        )
+
+        print()
+        print()
+
+        results_orbit = subprocess.run(
+            ff_orbit_command, shell=True, universal_newlines=True, check=True
+        )
+
+        print("move data")
+        shutil.copytree(
+            "kbo_neo_issue_ff_output/mpc", f"save_ff_output_kbo_neo_issue/{curr_date}"
+        )
+
+        print()
+        print("--- stdout ---")
+        print(results_assoc.stdout)
+        print()
+        print(results_orbit.stdout)
+        print()
+        print()