{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "作业一：基于Sesame，获取所有NGC天体的位置"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "想法是循环NGC的各个是否存在，存在就保存到list里"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "from astropy import units as u\n",
    "import astropy\n",
    "from astropy.coordinates import SkyCoord\n",
    "from tqdm import tqdm\n",
    "import time\n",
    "import astropy.coordinates as coord\n",
    "# Pos=SkyCoord.from_name('NGC 7')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "NGC = []\n",
    "for i in range(10000):\n",
    "    try:\n",
    "        Pos=SkyCoord.from_name('NGC '+str(i))\n",
    "        NGC.append([i,Pos.to_string('decimal')])\n",
    "    except:\n",
    "        continue"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 看看其他同学怎么跑出来的？"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "跑了三个小时没出来，发现这种循环应该不是做作业的方法"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(10.684708333333331, 41.26875)\n"
     ]
    }
   ],
   "source": [
    "from astroquery.simbad import Simbad\n",
    "from astropy.coordinates import SkyCoord\n",
    "import astropy.units as u\n",
    "from tqdm import tqdm\n",
    "def get_ngc_coordinates(ngc_number):\n",
    "    custom_simbad = Simbad()\n",
    "    custom_simbad.add_votable_fields('ra', 'dec')  # 添加赤经和赤纬\n",
    "    \n",
    "    # NGC 对象名称，如 NGC 224 是仙女座星系\n",
    "    object_name = f\"NGC {ngc_number}\"\n",
    "    \n",
    "    try:\n",
    "        result = custom_simbad.query_object(object_name)\n",
    "        if result:\n",
    "            ra_str = result['RA'][0]\n",
    "            dec_str = result['DEC'][0]\n",
    "            \n",
    "            # 将赤经和赤纬转换为度\n",
    "            coord = SkyCoord(ra=ra_str, dec=dec_str, unit=(u.hourangle, u.deg))\n",
    "            ra_deg = coord.ra.deg\n",
    "            dec_deg = coord.dec.deg\n",
    "            \n",
    "            # return f\"NGC {ngc_number} coordinates: RA = {ra_deg} degrees, Dec = {dec_deg} degrees\"\n",
    "            return ra_deg, dec_deg\n",
    "        else:\n",
    "            return f\"NGC {ngc_number} not found.\"\n",
    "    except Exception as e:\n",
    "        # return f\"Error occurred: {e}\"\n",
    "        return None\n",
    "\n",
    "# 查询 NGC 224（仙女座星系）的坐标\n",
    "ngc_number = 224\n",
    "coordinates = get_ngc_coordinates(ngc_number)\n",
    "\n",
    "print(coordinates)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "  0%|          | 5/7999 [00:00<15:01,  8.86it/s]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC     6 [astroquery.simbad.core]\n",
      "  0%|          | 17/7999 [00:01<15:03,  8.84it/s]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC    18 [astroquery.simbad.core]\n",
      "  0%|          | 20/7999 [00:02<15:07,  8.79it/s]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC    21 [astroquery.simbad.core]\n",
      "  0%|          | 29/7999 [00:08<2:01:53,  1.09it/s]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC    30 [astroquery.simbad.core]\n",
      "  0%|          | 31/7999 [00:10<2:11:43,  1.01it/s]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC    32 [astroquery.simbad.core]\n",
      "  0%|          | 32/7999 [00:11<2:13:51,  1.01s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC    33 [astroquery.simbad.core]\n",
      "  1%|          | 81/7999 [01:03<2:20:39,  1.07s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC    82 [astroquery.simbad.core]\n",
      "  2%|▏         | 121/7999 [01:46<2:18:34,  1.06s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC   122 [astroquery.simbad.core]\n",
      "  2%|▏         | 122/7999 [01:47<2:19:14,  1.06s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC   123 [astroquery.simbad.core]\n",
      "  2%|▏         | 155/7999 [02:22<2:18:31,  1.06s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC   156 [astroquery.simbad.core]\n",
      "  2%|▏         | 157/7999 [02:24<2:18:47,  1.06s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC   158 [astroquery.simbad.core]\n",
      "  3%|▎         | 210/7999 [03:20<2:16:01,  1.05s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC   211 [astroquery.simbad.core]\n",
      "  4%|▍         | 301/7999 [04:55<2:16:30,  1.06s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC   302 [astroquery.simbad.core]\n",
      "  4%|▍         | 309/7999 [05:04<2:26:53,  1.15s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC   310 [astroquery.simbad.core]\n",
      "  4%|▍         | 312/7999 [05:07<2:23:19,  1.12s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC   313 [astroquery.simbad.core]\n",
      "  4%|▍         | 315/7999 [05:10<2:19:07,  1.09s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC   316 [astroquery.simbad.core]\n",
      "  4%|▍         | 342/7999 [05:39<2:14:23,  1.05s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC   343 [astroquery.simbad.core]\n",
      "  5%|▍         | 369/7999 [06:07<2:14:14,  1.06s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC   370 [astroquery.simbad.core]\n",
      "  5%|▍         | 371/7999 [06:10<2:14:28,  1.06s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC   372 [astroquery.simbad.core]\n",
      "  5%|▍         | 376/7999 [06:15<2:24:45,  1.14s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC   377 [astroquery.simbad.core]\n",
      "  5%|▍         | 399/7999 [06:40<2:13:22,  1.05s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC   400 [astroquery.simbad.core]\n",
      "  5%|▌         | 400/7999 [06:41<2:12:58,  1.05s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC   401 [astroquery.simbad.core]\n",
      "  5%|▌         | 401/7999 [06:42<2:12:44,  1.05s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC   402 [astroquery.simbad.core]\n",
      "  5%|▌         | 404/7999 [06:45<2:13:37,  1.06s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC   405 [astroquery.simbad.core]\n",
      "  5%|▌         | 420/7999 [07:02<2:13:27,  1.06s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC   421 [astroquery.simbad.core]\n",
      "  6%|▌         | 452/7999 [07:36<2:14:39,  1.07s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC   453 [astroquery.simbad.core]\n",
      "  6%|▋         | 505/7999 [08:32<2:11:22,  1.05s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC   506 [astroquery.simbad.core]\n",
      "  6%|▋         | 509/7999 [08:36<2:11:49,  1.06s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC   510 [astroquery.simbad.core]\n",
      "  7%|▋         | 536/7999 [09:05<2:11:13,  1.05s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC   537 [astroquery.simbad.core]\n",
      "  7%|▋         | 551/7999 [09:22<2:31:43,  1.22s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC   552 [astroquery.simbad.core]\n",
      "  7%|▋         | 552/7999 [09:23<2:25:01,  1.17s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC   553 [astroquery.simbad.core]\n",
      "  8%|▊         | 606/7999 [10:21<2:10:06,  1.06s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC   607 [astroquery.simbad.core]\n",
      "  8%|▊         | 609/7999 [10:24<2:09:56,  1.05s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC   610 [astroquery.simbad.core]\n",
      "  8%|▊         | 615/7999 [10:30<2:10:10,  1.06s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC   616 [astroquery.simbad.core]\n",
      "  8%|▊         | 617/7999 [10:32<2:09:21,  1.05s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC   618 [astroquery.simbad.core]\n",
      "  8%|▊         | 628/7999 [10:44<2:09:43,  1.06s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC   629 [astroquery.simbad.core]\n",
      "  8%|▊         | 634/7999 [10:50<2:09:31,  1.06s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC   635 [astroquery.simbad.core]\n",
      "  9%|▉         | 727/7999 [12:29<2:07:00,  1.05s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC   728 [astroquery.simbad.core]\n",
      "  9%|▉         | 729/7999 [12:31<2:06:32,  1.04s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC   730 [astroquery.simbad.core]\n",
      "  9%|▉         | 736/7999 [12:38<2:07:17,  1.05s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC   737 [astroquery.simbad.core]\n",
      "  9%|▉         | 756/7999 [12:59<2:07:28,  1.06s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC   757 [astroquery.simbad.core]\n",
      " 10%|▉         | 763/7999 [13:07<2:06:14,  1.05s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC   764 [astroquery.simbad.core]\n",
      " 10%|▉         | 770/7999 [13:14<2:06:53,  1.05s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC   771 [astroquery.simbad.core]\n",
      " 10%|▉         | 792/7999 [13:37<2:06:42,  1.05s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC   793 [astroquery.simbad.core]\n",
      " 11%|█         | 865/7999 [14:54<2:05:29,  1.06s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC   866 [astroquery.simbad.core]\n",
      " 11%|█▏        | 900/7999 [15:33<2:04:02,  1.05s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC   901 [astroquery.simbad.core]\n",
      " 12%|█▏        | 951/7999 [16:27<2:02:55,  1.05s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC   952 [astroquery.simbad.core]\n",
      " 13%|█▎        | 1013/7999 [17:32<2:01:47,  1.05s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  1014 [astroquery.simbad.core]\n",
      " 13%|█▎        | 1039/7999 [18:00<2:03:10,  1.06s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  1040 [astroquery.simbad.core]\n",
      " 13%|█▎        | 1058/7999 [18:20<2:02:44,  1.06s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  1059 [astroquery.simbad.core]\n",
      " 14%|█▍        | 1112/7999 [19:17<2:04:17,  1.08s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  1113 [astroquery.simbad.core]\n",
      " 14%|█▍        | 1145/7999 [19:52<2:06:53,  1.11s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  1146 [astroquery.simbad.core]\n",
      " 14%|█▍        | 1146/7999 [19:54<2:04:21,  1.09s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  1147 [astroquery.simbad.core]\n",
      " 15%|█▍        | 1169/7999 [20:18<1:59:23,  1.05s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  1170 [astroquery.simbad.core]\n",
      " 15%|█▍        | 1172/7999 [20:22<1:59:49,  1.05s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  1173 [astroquery.simbad.core]\n",
      " 15%|█▍        | 1175/7999 [20:25<1:59:14,  1.05s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  1176 [astroquery.simbad.core]\n",
      " 15%|█▍        | 1177/7999 [20:27<1:58:20,  1.04s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  1178 [astroquery.simbad.core]\n",
      " 15%|█▍        | 1182/7999 [20:32<1:58:38,  1.04s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  1183 [astroquery.simbad.core]\n",
      " 15%|█▍        | 1196/7999 [20:47<1:59:52,  1.06s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  1197 [astroquery.simbad.core]\n",
      " 15%|█▌        | 1234/7999 [21:27<1:58:57,  1.06s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  1235 [astroquery.simbad.core]\n",
      " 15%|█▌        | 1236/7999 [21:29<1:58:39,  1.05s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  1237 [astroquery.simbad.core]\n",
      " 15%|█▌        | 1239/7999 [21:32<1:57:53,  1.05s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  1240 [astroquery.simbad.core]\n",
      " 16%|█▌        | 1242/7999 [21:35<1:58:07,  1.05s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  1243 [astroquery.simbad.core]\n",
      " 16%|█▌        | 1250/7999 [21:44<1:58:16,  1.05s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  1251 [astroquery.simbad.core]\n",
      " 16%|█▌        | 1275/7999 [22:10<2:01:57,  1.09s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  1276 [astroquery.simbad.core]\n",
      " 17%|█▋        | 1377/7999 [23:59<1:58:23,  1.07s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  1378 [astroquery.simbad.core]\n",
      " 18%|█▊        | 1407/7999 [24:41<3:08:02,  1.71s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  1408 [astroquery.simbad.core]\n",
      " 18%|█▊        | 1419/7999 [24:59<3:13:48,  1.77s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  1420 [astroquery.simbad.core]\n",
      " 18%|█▊        | 1428/7999 [25:10<2:14:13,  1.23s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  1429 [astroquery.simbad.core]\n",
      " 18%|█▊        | 1442/7999 [25:29<2:25:11,  1.33s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  1443 [astroquery.simbad.core]\n",
      " 18%|█▊        | 1457/7999 [25:47<2:12:16,  1.21s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  1458 [astroquery.simbad.core]\n",
      " 18%|█▊        | 1474/7999 [26:07<2:06:47,  1.17s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  1475 [astroquery.simbad.core]\n",
      " 18%|█▊        | 1478/7999 [26:11<2:02:15,  1.12s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  1479 [astroquery.simbad.core]\n",
      " 18%|█▊        | 1479/7999 [26:13<2:01:20,  1.12s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  1480 [astroquery.simbad.core]\n",
      " 19%|█▉        | 1522/7999 [27:07<2:25:29,  1.35s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  1523 [astroquery.simbad.core]\n",
      " 19%|█▉        | 1523/7999 [27:09<2:18:28,  1.28s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  1524 [astroquery.simbad.core]\n",
      " 19%|█▉        | 1524/7999 [27:10<2:28:55,  1.38s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  1525 [astroquery.simbad.core]\n",
      " 20%|██        | 1618/7999 [29:04<1:52:00,  1.05s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  1619 [astroquery.simbad.core]\n",
      " 20%|██        | 1638/7999 [29:25<1:51:28,  1.05s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  1639 [astroquery.simbad.core]\n",
      " 21%|██        | 1654/7999 [29:42<1:51:35,  1.06s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  1655 [astroquery.simbad.core]\n",
      " 21%|██        | 1673/7999 [31:01<33:04:40, 18.82s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  1674 [astroquery.simbad.core]\n",
      " 21%|██        | 1674/7999 [31:02<23:42:36, 13.50s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  1675 [astroquery.simbad.core]\n",
      " 21%|██▏       | 1706/7999 [31:36<1:51:07,  1.06s/it] WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  1707 [astroquery.simbad.core]\n",
      " 22%|██▏       | 1741/7999 [32:15<1:52:42,  1.08s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  1742 [astroquery.simbad.core]\n",
      " 22%|██▏       | 1756/7999 [32:31<1:52:42,  1.08s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  1757 [astroquery.simbad.core]\n",
      " 24%|██▎       | 1883/7999 [34:46<1:46:51,  1.05s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  1884 [astroquery.simbad.core]\n",
      " 24%|██▍       | 1907/7999 [35:13<1:49:34,  1.08s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  1908 [astroquery.simbad.core]\n",
      " 24%|██▍       | 1926/7999 [35:33<1:45:00,  1.04s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  1927 [astroquery.simbad.core]\n",
      " 25%|██▍       | 1987/7999 [36:37<1:45:09,  1.05s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  1988 [astroquery.simbad.core]\n",
      " 26%|██▌       | 2051/7999 [37:45<1:48:10,  1.09s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  2052 [astroquery.simbad.core]\n",
      " 26%|██▌       | 2053/7999 [37:47<1:45:19,  1.06s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  2054 [astroquery.simbad.core]\n",
      " 27%|██▋       | 2141/7999 [39:19<1:43:13,  1.06s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  2142 [astroquery.simbad.core]\n",
      " 27%|██▋       | 2166/7999 [39:46<1:44:41,  1.08s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  2167 [astroquery.simbad.core]\n",
      " 27%|██▋       | 2197/7999 [40:19<1:42:51,  1.06s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  2198 [astroquery.simbad.core]\n",
      " 28%|██▊       | 2217/7999 [40:40<1:41:40,  1.06s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  2218 [astroquery.simbad.core]\n",
      " 28%|██▊       | 2225/7999 [40:49<1:44:28,  1.09s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  2226 [astroquery.simbad.core]\n",
      " 28%|██▊       | 2276/7999 [41:43<1:41:02,  1.06s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  2277 [astroquery.simbad.core]\n",
      " 28%|██▊       | 2277/7999 [41:44<1:40:36,  1.06s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  2278 [astroquery.simbad.core]\n",
      " 28%|██▊       | 2278/7999 [41:45<1:40:13,  1.05s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  2279 [astroquery.simbad.core]\n",
      " 29%|██▊       | 2283/7999 [41:50<1:40:36,  1.06s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  2284 [astroquery.simbad.core]\n",
      " 29%|██▊       | 2284/7999 [41:51<1:40:25,  1.05s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  2285 [astroquery.simbad.core]\n",
      " 29%|██▊       | 2298/7999 [42:06<1:40:02,  1.05s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  2299 [astroquery.simbad.core]\n",
      " 29%|██▉       | 2316/7999 [42:25<1:39:43,  1.05s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  2317 [astroquery.simbad.core]\n",
      " 29%|██▉       | 2333/7999 [42:43<1:39:24,  1.05s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  2334 [astroquery.simbad.core]\n",
      " 29%|██▉       | 2355/7999 [43:06<1:39:12,  1.05s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  2356 [astroquery.simbad.core]\n",
      " 30%|██▉       | 2360/7999 [43:11<1:39:08,  1.05s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  2361 [astroquery.simbad.core]\n",
      " 30%|██▉       | 2385/7999 [43:38<1:38:44,  1.06s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  2386 [astroquery.simbad.core]\n",
      " 30%|██▉       | 2389/7999 [43:42<1:38:34,  1.05s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  2390 [astroquery.simbad.core]\n",
      " 30%|██▉       | 2398/7999 [43:51<1:38:06,  1.05s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  2399 [astroquery.simbad.core]\n",
      " 30%|██▉       | 2399/7999 [43:52<1:37:48,  1.05s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  2400 [astroquery.simbad.core]\n",
      " 30%|███       | 2403/7999 [43:57<1:38:36,  1.06s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  2404 [astroquery.simbad.core]\n",
      " 30%|███       | 2411/7999 [44:05<1:37:57,  1.05s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  2412 [astroquery.simbad.core]\n",
      " 30%|███       | 2435/7999 [44:30<1:37:54,  1.06s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  2436 [astroquery.simbad.core]\n",
      " 31%|███       | 2463/7999 [45:01<1:49:24,  1.19s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  2464 [astroquery.simbad.core]\n",
      " 31%|███       | 2464/7999 [45:02<1:52:25,  1.22s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  2465 [astroquery.simbad.core]\n",
      " 31%|███       | 2470/7999 [45:09<1:46:09,  1.15s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  2471 [astroquery.simbad.core]\n",
      " 31%|███       | 2477/7999 [45:16<1:38:14,  1.07s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  2478 [astroquery.simbad.core]\n",
      " 31%|███▏      | 2514/7999 [45:56<1:36:41,  1.06s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  2515 [astroquery.simbad.core]\n",
      " 31%|███▏      | 2519/7999 [46:01<1:36:41,  1.06s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  2520 [astroquery.simbad.core]\n",
      " 32%|███▏      | 2541/7999 [46:24<1:36:38,  1.06s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  2542 [astroquery.simbad.core]\n",
      " 32%|███▏      | 2567/7999 [46:52<1:35:30,  1.05s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  2568 [astroquery.simbad.core]\n",
      " 32%|███▏      | 2588/7999 [47:14<1:34:30,  1.05s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  2589 [astroquery.simbad.core]\n",
      " 33%|███▎      | 2651/7999 [48:21<1:34:03,  1.06s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  2652 [astroquery.simbad.core]\n",
      " 33%|███▎      | 2652/7999 [48:22<1:33:26,  1.05s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  2653 [astroquery.simbad.core]\n",
      " 34%|███▎      | 2695/7999 [49:07<1:33:51,  1.06s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  2696 [astroquery.simbad.core]\n",
      " 34%|███▎      | 2699/7999 [49:11<1:32:49,  1.05s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  2700 [astroquery.simbad.core]\n",
      " 34%|███▍      | 2701/7999 [49:13<1:32:38,  1.05s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  2702 [astroquery.simbad.core]\n",
      " 34%|███▍      | 2702/7999 [49:14<1:32:22,  1.05s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  2703 [astroquery.simbad.core]\n",
      " 34%|███▍      | 2704/7999 [49:17<1:32:27,  1.05s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  2705 [astroquery.simbad.core]\n",
      " 34%|███▍      | 2706/7999 [49:19<1:32:28,  1.05s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  2707 [astroquery.simbad.core]\n",
      " 34%|███▍      | 2756/7999 [50:12<1:32:23,  1.06s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  2757 [astroquery.simbad.core]\n",
      " 35%|███▌      | 2836/7999 [51:37<1:30:46,  1.06s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  2837 [astroquery.simbad.core]\n",
      " 36%|███▌      | 2845/7999 [51:46<1:30:37,  1.06s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  2846 [astroquery.simbad.core]\n",
      " 36%|███▌      | 2846/7999 [51:47<1:30:25,  1.05s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  2847 [astroquery.simbad.core]\n",
      " 36%|███▌      | 2870/7999 [52:12<1:30:06,  1.05s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  2871 [astroquery.simbad.core]\n",
      " 36%|███▌      | 2878/7999 [52:21<1:29:59,  1.05s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  2879 [astroquery.simbad.core]\n",
      " 36%|███▌      | 2885/7999 [52:28<1:30:24,  1.06s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  2886 [astroquery.simbad.core]\n",
      " 36%|███▋      | 2900/7999 [52:44<1:29:40,  1.06s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  2901 [astroquery.simbad.core]\n",
      " 37%|███▋      | 2931/7999 [53:17<1:29:08,  1.06s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  2932 [astroquery.simbad.core]\n",
      " 37%|███▋      | 2994/7999 [54:23<1:28:30,  1.06s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  2995 [astroquery.simbad.core]\n",
      " 37%|███▋      | 2998/7999 [54:27<1:28:43,  1.06s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  2999 [astroquery.simbad.core]\n",
      " 37%|███▋      | 2999/7999 [54:29<1:28:10,  1.06s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  3000 [astroquery.simbad.core]\n",
      " 38%|███▊      | 3003/7999 [54:33<1:29:56,  1.08s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  3004 [astroquery.simbad.core]\n",
      " 38%|███▊      | 3045/7999 [55:18<1:27:27,  1.06s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  3046 [astroquery.simbad.core]\n",
      " 38%|███▊      | 3062/7999 [55:36<1:26:48,  1.05s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  3063 [astroquery.simbad.core]\n",
      " 39%|███▊      | 3096/7999 [56:12<1:26:47,  1.06s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  3097 [astroquery.simbad.core]\n",
      " 39%|███▉      | 3122/7999 [56:40<1:26:04,  1.06s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  3123 [astroquery.simbad.core]\n",
      " 39%|███▉      | 3128/7999 [56:46<1:25:57,  1.06s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  3129 [astroquery.simbad.core]\n",
      " 40%|███▉      | 3166/7999 [57:26<1:24:58,  1.06s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  3167 [astroquery.simbad.core]\n",
      " 40%|███▉      | 3169/7999 [57:29<1:25:09,  1.06s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  3170 [astroquery.simbad.core]\n",
      " 40%|███▉      | 3175/7999 [57:36<1:25:08,  1.06s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  3176 [astroquery.simbad.core]\n",
      " 40%|███▉      | 3180/7999 [57:41<1:25:08,  1.06s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  3181 [astroquery.simbad.core]\n",
      " 41%|████      | 3290/7999 [59:38<1:22:54,  1.06s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  3291 [astroquery.simbad.core]\n",
      " 41%|████      | 3294/7999 [59:43<1:22:59,  1.06s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  3295 [astroquery.simbad.core]\n",
      " 41%|████▏     | 3316/7999 [1:00:07<1:28:48,  1.14s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  3317 [astroquery.simbad.core]\n",
      " 42%|████▏     | 3327/7999 [1:00:18<1:22:30,  1.06s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  3328 [astroquery.simbad.core]\n",
      " 42%|████▏     | 3341/7999 [1:00:33<1:21:55,  1.06s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  3342 [astroquery.simbad.core]\n",
      " 42%|████▏     | 3344/7999 [1:00:36<1:21:55,  1.06s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  3345 [astroquery.simbad.core]\n",
      " 42%|████▏     | 3381/7999 [1:01:16<1:21:57,  1.06s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  3382 [astroquery.simbad.core]\n",
      " 43%|████▎     | 3400/7999 [1:01:36<1:21:39,  1.07s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  3401 [astroquery.simbad.core]\n",
      " 43%|████▎     | 3459/7999 [1:02:38<1:20:02,  1.06s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  3460 [astroquery.simbad.core]\n",
      " 43%|████▎     | 3460/7999 [1:02:39<1:19:45,  1.05s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  3461 [astroquery.simbad.core]\n",
      " 43%|████▎     | 3471/7999 [1:02:51<1:19:26,  1.05s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  3472 [astroquery.simbad.core]\n",
      " 43%|████▎     | 3479/7999 [1:02:59<1:19:50,  1.06s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  3480 [astroquery.simbad.core]\n",
      " 44%|████▎     | 3483/7999 [1:03:03<1:19:05,  1.05s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  3484 [astroquery.simbad.core]\n",
      " 44%|████▎     | 3493/7999 [1:03:14<1:18:57,  1.05s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  3494 [astroquery.simbad.core]\n",
      " 44%|████▎     | 3497/7999 [1:03:18<1:19:03,  1.05s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  3498 [astroquery.simbad.core]\n",
      " 44%|████▍     | 3504/7999 [1:03:25<1:19:21,  1.06s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  3505 [astroquery.simbad.core]\n",
      " 44%|████▍     | 3537/7999 [1:04:00<1:18:17,  1.05s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  3538 [astroquery.simbad.core]\n",
      " 44%|████▍     | 3547/7999 [1:04:11<1:18:09,  1.05s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  3548 [astroquery.simbad.core]\n",
      " 44%|████▍     | 3559/7999 [1:04:24<1:18:17,  1.06s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  3560 [astroquery.simbad.core]\n",
      " 45%|████▍     | 3574/7999 [1:04:39<1:17:30,  1.05s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  3575 [astroquery.simbad.core]\n",
      " 45%|████▍     | 3577/7999 [1:04:43<1:17:19,  1.05s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  3578 [astroquery.simbad.core]\n",
      " 46%|████▌     | 3697/7999 [1:06:50<1:15:08,  1.05s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  3698 [astroquery.simbad.core]\n",
      " 46%|████▋     | 3707/7999 [1:07:01<1:14:45,  1.05s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  3708 [astroquery.simbad.core]\n",
      " 46%|████▋     | 3708/7999 [1:07:02<1:14:24,  1.04s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  3709 [astroquery.simbad.core]\n",
      " 47%|████▋     | 3746/7999 [1:07:42<1:15:02,  1.06s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  3747 [astroquery.simbad.core]\n",
      " 47%|████▋     | 3791/7999 [1:08:30<1:16:02,  1.08s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  3792 [astroquery.simbad.core]\n",
      " 47%|████▋     | 3796/7999 [1:08:35<1:15:47,  1.08s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  3797 [astroquery.simbad.core]\n",
      " 48%|████▊     | 3851/7999 [1:09:34<1:15:07,  1.09s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  3852 [astroquery.simbad.core]\n",
      " 48%|████▊     | 3873/7999 [1:09:58<1:14:19,  1.08s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  3874 [astroquery.simbad.core]\n",
      " 49%|████▊     | 3888/7999 [1:10:15<1:13:05,  1.07s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  3889 [astroquery.simbad.core]\n",
      " 49%|████▉     | 3926/7999 [1:10:56<1:12:08,  1.06s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  3927 [astroquery.simbad.core]\n",
      " 49%|████▉     | 3938/7999 [1:11:08<1:11:47,  1.06s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  3939 [astroquery.simbad.core]\n",
      " 49%|████▉     | 3947/7999 [1:11:18<1:10:57,  1.05s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  3948 [astroquery.simbad.core]\n",
      " 50%|████▉     | 3964/7999 [1:11:36<1:10:59,  1.06s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  3965 [astroquery.simbad.core]\n",
      " 51%|█████     | 4098/7999 [1:13:58<1:08:55,  1.06s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  4099 [astroquery.simbad.core]\n",
      " 51%|█████▏    | 4106/7999 [1:14:06<1:08:27,  1.06s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  4107 [astroquery.simbad.core]\n",
      " 52%|█████▏    | 4129/7999 [1:14:31<1:08:25,  1.06s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  4130 [astroquery.simbad.core]\n",
      " 52%|█████▏    | 4152/7999 [1:14:55<1:11:01,  1.11s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  4153 [astroquery.simbad.core]\n",
      " 52%|█████▏    | 4153/7999 [1:14:56<1:09:33,  1.09s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  4154 [astroquery.simbad.core]\n",
      " 52%|█████▏    | 4159/7999 [1:15:03<1:12:21,  1.13s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  4160 [astroquery.simbad.core]\n",
      " 53%|█████▎    | 4208/7999 [1:15:55<1:07:05,  1.06s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  4209 [astroquery.simbad.core]\n",
      " 53%|█████▎    | 4279/7999 [1:17:11<1:05:36,  1.06s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  4280 [astroquery.simbad.core]\n",
      " 54%|█████▍    | 4314/7999 [1:17:48<1:05:07,  1.06s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  4315 [astroquery.simbad.core]\n",
      " 54%|█████▍    | 4316/7999 [1:17:50<1:04:31,  1.05s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  4317 [astroquery.simbad.core]\n",
      " 54%|█████▍    | 4326/7999 [1:18:00<1:04:51,  1.06s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  4327 [astroquery.simbad.core]\n",
      " 54%|█████▍    | 4346/7999 [1:18:21<1:04:35,  1.06s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  4347 [astroquery.simbad.core]\n",
      " 55%|█████▍    | 4366/7999 [1:18:43<1:04:05,  1.06s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  4367 [astroquery.simbad.core]\n",
      " 55%|█████▍    | 4367/7999 [1:18:44<1:03:41,  1.05s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  4368 [astroquery.simbad.core]\n",
      " 55%|█████▍    | 4380/7999 [1:18:57<1:03:43,  1.06s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  4381 [astroquery.simbad.core]\n",
      " 55%|█████▍    | 4397/7999 [1:19:15<1:03:29,  1.06s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  4398 [astroquery.simbad.core]\n",
      " 56%|█████▋    | 4507/7999 [1:21:16<1:09:28,  1.19s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  4508 [astroquery.simbad.core]\n",
      " 57%|█████▋    | 4529/7999 [1:21:39<1:00:43,  1.05s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  4530 [astroquery.simbad.core]\n",
      " 57%|█████▋    | 4553/7999 [1:22:04<1:01:26,  1.07s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  4554 [astroquery.simbad.core]\n",
      " 57%|█████▋    | 4581/7999 [1:22:34<1:00:32,  1.06s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  4582 [astroquery.simbad.core]\n",
      " 58%|█████▊    | 4609/7999 [1:23:04<59:31,  1.05s/it]  WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  4610 [astroquery.simbad.core]\n",
      " 58%|█████▊    | 4666/7999 [1:24:05<58:57,  1.06s/it]  WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  4667 [astroquery.simbad.core]\n",
      " 60%|█████▉    | 4767/7999 [1:25:52<56:30,  1.05s/it]  WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  4768 [astroquery.simbad.core]\n",
      " 60%|█████▉    | 4768/7999 [1:25:53<56:20,  1.05s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  4769 [astroquery.simbad.core]\n",
      " 60%|██████    | 4804/7999 [1:26:31<56:03,  1.05s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  4805 [astroquery.simbad.core]\n",
      " 61%|██████    | 4843/7999 [1:27:12<55:51,  1.06s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  4844 [astroquery.simbad.core]\n",
      " 61%|██████    | 4846/7999 [1:27:15<55:46,  1.06s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  4847 [astroquery.simbad.core]\n",
      " 61%|██████▏   | 4912/7999 [1:28:25<55:27,  1.08s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  4913 [astroquery.simbad.core]\n",
      " 62%|██████▏   | 4936/7999 [1:28:50<54:23,  1.07s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  4937 [astroquery.simbad.core]\n",
      " 62%|██████▏   | 4961/7999 [1:29:17<53:12,  1.05s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  4962 [astroquery.simbad.core]\n",
      " 62%|██████▏   | 4981/7999 [1:29:38<52:33,  1.04s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  4982 [astroquery.simbad.core]\n",
      " 63%|██████▎   | 5066/7999 [1:31:09<51:45,  1.06s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  5067 [astroquery.simbad.core]\n",
      " 64%|██████▍   | 5105/7999 [1:31:50<50:52,  1.05s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  5106 [astroquery.simbad.core]\n",
      " 64%|██████▍   | 5159/7999 [1:32:47<49:55,  1.05s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  5160 [astroquery.simbad.core]\n",
      " 65%|██████▍   | 5199/7999 [1:33:30<50:50,  1.09s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  5200 [astroquery.simbad.core]\n",
      " 66%|██████▌   | 5241/7999 [1:34:14<48:33,  1.06s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  5242 [astroquery.simbad.core]\n",
      " 66%|██████▌   | 5267/7999 [1:34:42<48:05,  1.06s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  5268 [astroquery.simbad.core]\n",
      " 66%|██████▋   | 5308/7999 [1:35:26<47:31,  1.06s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  5309 [astroquery.simbad.core]\n",
      " 67%|██████▋   | 5387/7999 [1:36:49<45:55,  1.06s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  5388 [astroquery.simbad.core]\n",
      " 68%|██████▊   | 5403/7999 [1:37:06<46:19,  1.07s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  5404 [astroquery.simbad.core]\n",
      " 68%|██████▊   | 5427/7999 [1:37:32<45:44,  1.07s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  5428 [astroquery.simbad.core]\n",
      " 68%|██████▊   | 5428/7999 [1:37:33<45:22,  1.06s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  5429 [astroquery.simbad.core]\n",
      " 68%|██████▊   | 5431/7999 [1:37:36<45:08,  1.05s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  5432 [astroquery.simbad.core]\n",
      " 68%|██████▊   | 5434/7999 [1:37:39<44:57,  1.05s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  5435 [astroquery.simbad.core]\n",
      " 68%|██████▊   | 5464/7999 [1:38:11<44:09,  1.05s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  5465 [astroquery.simbad.core]\n",
      " 68%|██████▊   | 5466/7999 [1:38:13<44:56,  1.06s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  5467 [astroquery.simbad.core]\n",
      " 69%|██████▉   | 5557/7999 [1:39:49<43:06,  1.06s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  5558 [astroquery.simbad.core]\n",
      " 70%|██████▉   | 5564/7999 [1:39:56<41:37,  1.03s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  5565 [astroquery.simbad.core]\n",
      " 70%|██████▉   | 5577/7999 [1:40:11<42:55,  1.06s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  5578 [astroquery.simbad.core]\n",
      " 70%|██████▉   | 5585/7999 [1:40:19<42:26,  1.05s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  5586 [astroquery.simbad.core]\n",
      " 70%|███████   | 5620/7999 [1:40:56<41:28,  1.05s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  5621 [astroquery.simbad.core]\n",
      " 71%|███████   | 5650/7999 [1:41:27<41:54,  1.07s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  5651 [astroquery.simbad.core]\n",
      " 71%|███████   | 5654/7999 [1:41:32<42:03,  1.08s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  5655 [astroquery.simbad.core]\n",
      " 71%|███████   | 5698/7999 [1:42:18<40:12,  1.05s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  5699 [astroquery.simbad.core]\n",
      " 73%|███████▎  | 5807/7999 [1:44:14<38:36,  1.06s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  5808 [astroquery.simbad.core]\n",
      " 73%|███████▎  | 5815/7999 [1:44:22<38:13,  1.05s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  5816 [astroquery.simbad.core]\n",
      " 73%|███████▎  | 5833/7999 [1:44:41<38:24,  1.06s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  5834 [astroquery.simbad.core]\n",
      " 73%|███████▎  | 5855/7999 [1:45:05<42:44,  1.20s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  5856 [astroquery.simbad.core]\n",
      " 73%|███████▎  | 5866/7999 [1:45:17<37:57,  1.07s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  5867 [astroquery.simbad.core]\n",
      " 73%|███████▎  | 5870/7999 [1:45:22<37:29,  1.06s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  5871 [astroquery.simbad.core]\n",
      " 73%|███████▎  | 5876/7999 [1:45:28<37:15,  1.05s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  5877 [astroquery.simbad.core]\n",
      " 74%|███████▎  | 5883/7999 [1:45:35<37:07,  1.05s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  5884 [astroquery.simbad.core]\n",
      " 74%|███████▍  | 5900/7999 [1:45:53<36:57,  1.06s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  5901 [astroquery.simbad.core]\n",
      " 74%|███████▍  | 5921/7999 [1:46:16<36:42,  1.06s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  5922 [astroquery.simbad.core]\n",
      " 74%|███████▍  | 5947/7999 [1:46:43<36:14,  1.06s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  5948 [astroquery.simbad.core]\n",
      " 76%|███████▌  | 6045/7999 [1:48:27<34:15,  1.05s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  6046 [astroquery.simbad.core]\n",
      " 76%|███████▌  | 6048/7999 [1:48:30<34:41,  1.07s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  6049 [astroquery.simbad.core]\n",
      " 76%|███████▌  | 6058/7999 [1:48:40<34:21,  1.06s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  6059 [astroquery.simbad.core]\n",
      " 76%|███████▌  | 6081/7999 [1:49:05<33:42,  1.05s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  6082 [astroquery.simbad.core]\n",
      " 77%|███████▋  | 6132/7999 [1:49:59<33:44,  1.08s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  6133 [astroquery.simbad.core]\n",
      " 77%|███████▋  | 6169/7999 [1:50:39<32:29,  1.07s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  6170 [astroquery.simbad.core]\n",
      " 77%|███████▋  | 6190/7999 [1:51:01<31:52,  1.06s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  6191 [astroquery.simbad.core]\n",
      " 78%|███████▊  | 6226/7999 [1:51:39<30:54,  1.05s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  6227 [astroquery.simbad.core]\n",
      " 79%|███████▊  | 6293/7999 [1:52:50<30:00,  1.06s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  6294 [astroquery.simbad.core]\n",
      " 79%|███████▊  | 6297/7999 [1:52:54<30:05,  1.06s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  6298 [astroquery.simbad.core]\n",
      " 79%|███████▉  | 6343/7999 [1:53:43<29:28,  1.07s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  6344 [astroquery.simbad.core]\n",
      " 79%|███████▉  | 6353/7999 [1:53:54<28:00,  1.02s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  6354 [astroquery.simbad.core]\n",
      " 80%|████████  | 6409/7999 [1:54:53<27:33,  1.04s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  6410 [astroquery.simbad.core]\n",
      " 80%|████████  | 6412/7999 [1:54:56<27:42,  1.05s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  6413 [astroquery.simbad.core]\n",
      " 80%|████████  | 6427/7999 [1:55:12<27:49,  1.06s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  6428 [astroquery.simbad.core]\n",
      " 80%|████████  | 6430/7999 [1:55:16<27:30,  1.05s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  6431 [astroquery.simbad.core]\n",
      " 80%|████████  | 6436/7999 [1:55:22<27:19,  1.05s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  6437 [astroquery.simbad.core]\n",
      " 81%|████████  | 6447/7999 [1:55:33<27:13,  1.05s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  6448 [astroquery.simbad.core]\n",
      " 81%|████████  | 6449/7999 [1:55:36<27:04,  1.05s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  6450 [astroquery.simbad.core]\n",
      " 81%|████████  | 6454/7999 [1:55:41<27:16,  1.06s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  6455 [astroquery.simbad.core]\n",
      " 81%|████████  | 6479/7999 [1:56:07<26:35,  1.05s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  6480 [astroquery.simbad.core]\n",
      " 81%|████████  | 6497/7999 [1:56:26<26:16,  1.05s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  6498 [astroquery.simbad.core]\n",
      " 81%|████████  | 6498/7999 [1:56:27<26:07,  1.04s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  6499 [astroquery.simbad.core]\n",
      " 81%|████████▏ | 6505/7999 [1:56:34<26:05,  1.05s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  6506 [astroquery.simbad.core]\n",
      " 81%|████████▏ | 6518/7999 [1:56:48<25:56,  1.05s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  6519 [astroquery.simbad.core]\n",
      " 82%|████████▏ | 6532/7999 [1:57:03<26:31,  1.09s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  6533 [astroquery.simbad.core]\n",
      " 82%|████████▏ | 6550/7999 [1:57:22<25:31,  1.06s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  6551 [astroquery.simbad.core]\n",
      " 82%|████████▏ | 6555/7999 [1:57:27<25:32,  1.06s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  6556 [astroquery.simbad.core]\n",
      " 82%|████████▏ | 6563/7999 [1:57:36<25:15,  1.06s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  6564 [astroquery.simbad.core]\n",
      " 82%|████████▏ | 6599/7999 [1:58:14<24:29,  1.05s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  6600 [astroquery.simbad.core]\n",
      " 83%|████████▎ | 6609/7999 [1:58:24<24:14,  1.05s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  6610 [astroquery.simbad.core]\n",
      " 83%|████████▎ | 6647/7999 [1:59:04<23:40,  1.05s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  6648 [astroquery.simbad.core]\n",
      " 83%|████████▎ | 6654/7999 [1:59:12<24:15,  1.08s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  6655 [astroquery.simbad.core]\n",
      " 83%|████████▎ | 6665/7999 [1:59:24<23:25,  1.05s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  6666 [astroquery.simbad.core]\n",
      " 83%|████████▎ | 6667/7999 [1:59:26<23:19,  1.05s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  6668 [astroquery.simbad.core]\n",
      " 83%|████████▎ | 6677/7999 [1:59:36<23:19,  1.06s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  6678 [astroquery.simbad.core]\n",
      " 84%|████████▎ | 6692/7999 [1:59:52<22:50,  1.05s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  6693 [astroquery.simbad.core]\n",
      " 84%|████████▍ | 6713/7999 [2:00:15<22:47,  1.06s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  6714 [astroquery.simbad.core]\n",
      " 84%|████████▍ | 6730/7999 [2:00:33<22:11,  1.05s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  6731 [astroquery.simbad.core]\n",
      " 84%|████████▍ | 6747/7999 [2:00:51<21:46,  1.04s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  6748 [astroquery.simbad.core]\n",
      " 85%|████████▍ | 6766/7999 [2:01:11<21:38,  1.05s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  6767 [astroquery.simbad.core]\n",
      " 85%|████████▍ | 6776/7999 [2:01:23<27:41,  1.36s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  6777 [astroquery.simbad.core]\n",
      " 85%|████████▍ | 6784/7999 [2:01:31<21:30,  1.06s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  6785 [astroquery.simbad.core]\n",
      " 85%|████████▍ | 6794/7999 [2:01:42<21:53,  1.09s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  6795 [astroquery.simbad.core]\n",
      " 85%|████████▌ | 6814/7999 [2:02:03<21:08,  1.07s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  6815 [astroquery.simbad.core]\n",
      " 86%|████████▌ | 6858/7999 [2:02:50<20:02,  1.05s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  6859 [astroquery.simbad.core]\n",
      " 86%|████████▌ | 6891/7999 [2:03:24<19:26,  1.05s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  6892 [astroquery.simbad.core]\n",
      " 86%|████████▌ | 6895/7999 [2:03:28<19:19,  1.05s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  6896 [astroquery.simbad.core]\n",
      " 87%|████████▋ | 6932/7999 [2:04:07<18:48,  1.06s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  6933 [astroquery.simbad.core]\n",
      " 87%|████████▋ | 6952/7999 [2:04:29<18:31,  1.06s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  6953 [astroquery.simbad.core]\n",
      " 87%|████████▋ | 6965/7999 [2:04:42<18:08,  1.05s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  6966 [astroquery.simbad.core]\n",
      " 87%|████████▋ | 6972/7999 [2:04:50<17:58,  1.05s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  6973 [astroquery.simbad.core]\n",
      " 87%|████████▋ | 6979/7999 [2:04:57<17:15,  1.01s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  6980 [astroquery.simbad.core]\n",
      " 88%|████████▊ | 7004/7999 [2:05:24<17:29,  1.05s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  7005 [astroquery.simbad.core]\n",
      " 88%|████████▊ | 7027/7999 [2:05:48<17:27,  1.08s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  7028 [astroquery.simbad.core]\n",
      " 88%|████████▊ | 7044/7999 [2:06:06<16:43,  1.05s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  7045 [astroquery.simbad.core]\n",
      " 88%|████████▊ | 7053/7999 [2:06:15<16:41,  1.06s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  7054 [astroquery.simbad.core]\n",
      " 89%|████████▊ | 7087/7999 [2:06:51<15:56,  1.05s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  7088 [astroquery.simbad.core]\n",
      " 89%|████████▉ | 7104/7999 [2:07:09<15:40,  1.05s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  7105 [astroquery.simbad.core]\n",
      " 89%|████████▉ | 7121/7999 [2:07:27<15:18,  1.05s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  7122 [astroquery.simbad.core]\n",
      " 89%|████████▉ | 7135/7999 [2:07:42<15:07,  1.05s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  7136 [astroquery.simbad.core]\n",
      " 89%|████████▉ | 7142/7999 [2:07:49<15:09,  1.06s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  7143 [astroquery.simbad.core]\n",
      " 89%|████████▉ | 7149/7999 [2:07:56<14:51,  1.05s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  7150 [astroquery.simbad.core]\n",
      " 90%|████████▉ | 7160/7999 [2:08:08<14:44,  1.05s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  7161 [astroquery.simbad.core]\n",
      " 90%|████████▉ | 7185/7999 [2:08:34<14:22,  1.06s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  7186 [astroquery.simbad.core]\n",
      " 90%|█████████ | 7209/7999 [2:09:00<13:50,  1.05s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  7210 [astroquery.simbad.core]\n",
      " 90%|█████████ | 7237/7999 [2:09:29<13:21,  1.05s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  7238 [astroquery.simbad.core]\n",
      " 91%|█████████ | 7294/7999 [2:10:32<12:28,  1.06s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  7295 [astroquery.simbad.core]\n",
      " 92%|█████████▏| 7326/7999 [2:11:06<11:55,  1.06s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  7327 [astroquery.simbad.core]\n",
      " 92%|█████████▏| 7332/7999 [2:11:12<11:55,  1.07s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  7333 [astroquery.simbad.core]\n",
      " 92%|█████████▏| 7337/7999 [2:11:18<11:40,  1.06s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  7338 [astroquery.simbad.core]\n",
      " 92%|█████████▏| 7349/7999 [2:11:30<11:24,  1.05s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  7350 [astroquery.simbad.core]\n",
      " 93%|█████████▎| 7402/7999 [2:12:27<10:28,  1.05s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  7403 [astroquery.simbad.core]\n",
      " 93%|█████████▎| 7452/7999 [2:13:20<09:30,  1.04s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  7453 [astroquery.simbad.core]\n",
      " 93%|█████████▎| 7458/7999 [2:13:26<09:31,  1.06s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  7459 [astroquery.simbad.core]\n",
      " 93%|█████████▎| 7470/7999 [2:13:39<09:22,  1.06s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  7471 [astroquery.simbad.core]\n",
      " 93%|█████████▎| 7476/7999 [2:13:45<09:09,  1.05s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  7477 [astroquery.simbad.core]\n",
      " 94%|█████████▎| 7492/7999 [2:14:02<08:58,  1.06s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  7493 [astroquery.simbad.core]\n",
      " 94%|█████████▍| 7501/7999 [2:14:11<08:44,  1.05s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  7502 [astroquery.simbad.core]\n",
      " 94%|█████████▍| 7503/7999 [2:14:13<08:41,  1.05s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  7504 [astroquery.simbad.core]\n",
      " 94%|█████████▍| 7519/7999 [2:14:30<08:25,  1.05s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  7520 [astroquery.simbad.core]\n",
      " 94%|█████████▍| 7525/7999 [2:14:37<08:21,  1.06s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  7526 [astroquery.simbad.core]\n",
      " 94%|█████████▍| 7554/7999 [2:15:09<08:04,  1.09s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  7555 [astroquery.simbad.core]\n",
      " 94%|█████████▍| 7559/7999 [2:15:16<09:01,  1.23s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  7560 [astroquery.simbad.core]\n",
      " 95%|█████████▍| 7560/7999 [2:15:17<08:34,  1.17s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  7561 [astroquery.simbad.core]\n",
      " 95%|█████████▍| 7564/7999 [2:15:22<07:53,  1.09s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  7565 [astroquery.simbad.core]\n",
      " 95%|█████████▍| 7570/7999 [2:15:28<07:35,  1.06s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  7571 [astroquery.simbad.core]\n",
      " 95%|█████████▍| 7573/7999 [2:15:32<08:39,  1.22s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  7574 [astroquery.simbad.core]\n",
      " 95%|█████████▍| 7574/7999 [2:15:33<08:16,  1.17s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  7575 [astroquery.simbad.core]\n",
      " 95%|█████████▍| 7580/7999 [2:15:41<08:30,  1.22s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  7581 [astroquery.simbad.core]\n",
      " 95%|█████████▌| 7604/7999 [2:16:06<06:58,  1.06s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  7605 [astroquery.simbad.core]\n",
      " 95%|█████████▌| 7606/7999 [2:16:08<06:54,  1.05s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  7607 [astroquery.simbad.core]\n",
      " 95%|█████████▌| 7613/7999 [2:16:16<06:49,  1.06s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  7614 [astroquery.simbad.core]\n",
      " 95%|█████████▌| 7626/7999 [2:16:29<06:36,  1.06s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  7627 [astroquery.simbad.core]\n",
      " 95%|█████████▌| 7638/7999 [2:16:42<06:18,  1.05s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  7639 [astroquery.simbad.core]\n",
      " 96%|█████████▌| 7665/7999 [2:17:10<05:52,  1.05s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  7666 [astroquery.simbad.core]\n",
      " 96%|█████████▌| 7667/7999 [2:17:12<05:48,  1.05s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  7668 [astroquery.simbad.core]\n",
      " 96%|█████████▌| 7668/7999 [2:17:13<05:45,  1.05s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  7669 [astroquery.simbad.core]\n",
      " 96%|█████████▌| 7669/7999 [2:17:14<05:44,  1.04s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  7670 [astroquery.simbad.core]\n",
      " 97%|█████████▋| 7747/7999 [2:18:37<04:25,  1.05s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  7748 [astroquery.simbad.core]\n",
      " 97%|█████████▋| 7762/7999 [2:18:53<04:09,  1.05s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  7763 [astroquery.simbad.core]\n",
      " 97%|█████████▋| 7790/7999 [2:19:22<03:42,  1.07s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  7791 [astroquery.simbad.core]\n",
      " 98%|█████████▊| 7803/7999 [2:19:36<03:26,  1.05s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  7804 [astroquery.simbad.core]\n",
      " 98%|█████████▊| 7814/7999 [2:19:48<03:14,  1.05s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  7815 [astroquery.simbad.core]\n",
      " 98%|█████████▊| 7829/7999 [2:20:04<03:08,  1.11s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  7830 [astroquery.simbad.core]\n",
      " 98%|█████████▊| 7832/7999 [2:20:07<03:03,  1.10s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  7833 [astroquery.simbad.core]\n",
      " 98%|█████████▊| 7839/7999 [2:20:15<02:48,  1.06s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  7840 [astroquery.simbad.core]\n",
      " 98%|█████████▊| 7840/7999 [2:20:16<02:47,  1.05s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  7841 [astroquery.simbad.core]\n",
      " 98%|█████████▊| 7841/7999 [2:20:17<02:45,  1.05s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  7842 [astroquery.simbad.core]\n",
      " 98%|█████████▊| 7842/7999 [2:20:18<02:44,  1.05s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  7843 [astroquery.simbad.core]\n",
      " 98%|█████████▊| 7843/7999 [2:20:19<02:42,  1.04s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  7844 [astroquery.simbad.core]\n",
      " 98%|█████████▊| 7844/7999 [2:20:20<02:41,  1.04s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  7845 [astroquery.simbad.core]\n",
      " 98%|█████████▊| 7845/7999 [2:20:21<02:40,  1.04s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  7846 [astroquery.simbad.core]\n",
      " 98%|█████████▊| 7846/7999 [2:20:22<02:39,  1.04s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  7847 [astroquery.simbad.core]\n",
      " 98%|█████████▊| 7847/7999 [2:20:23<02:38,  1.04s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  7848 [astroquery.simbad.core]\n",
      " 98%|█████████▊| 7848/7999 [2:20:24<02:38,  1.05s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  7849 [astroquery.simbad.core]\n",
      " 98%|█████████▊| 7849/7999 [2:20:25<02:36,  1.05s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  7850 [astroquery.simbad.core]\n",
      " 98%|█████████▊| 7850/7999 [2:20:26<02:35,  1.04s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  7851 [astroquery.simbad.core]\n",
      " 98%|█████████▊| 7851/7999 [2:20:27<02:34,  1.04s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  7852 [astroquery.simbad.core]\n",
      " 98%|█████████▊| 7852/7999 [2:20:28<02:33,  1.04s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  7853 [astroquery.simbad.core]\n",
      " 98%|█████████▊| 7853/7999 [2:20:29<02:31,  1.04s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  7854 [astroquery.simbad.core]\n",
      " 98%|█████████▊| 7854/7999 [2:20:30<02:30,  1.04s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  7855 [astroquery.simbad.core]\n",
      " 98%|█████████▊| 7855/7999 [2:20:31<02:30,  1.04s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  7856 [astroquery.simbad.core]\n",
      " 98%|█████████▊| 7856/7999 [2:20:32<02:28,  1.04s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  7857 [astroquery.simbad.core]\n",
      " 98%|█████████▊| 7857/7999 [2:20:33<02:27,  1.04s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  7858 [astroquery.simbad.core]\n",
      " 98%|█████████▊| 7858/7999 [2:20:34<02:26,  1.04s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  7859 [astroquery.simbad.core]\n",
      " 98%|█████████▊| 7859/7999 [2:20:35<02:25,  1.04s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  7860 [astroquery.simbad.core]\n",
      " 98%|█████████▊| 7860/7999 [2:20:36<02:25,  1.05s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  7861 [astroquery.simbad.core]\n",
      " 98%|█████████▊| 7861/7999 [2:20:37<02:24,  1.05s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  7862 [astroquery.simbad.core]\n",
      " 98%|█████████▊| 7862/7999 [2:20:39<02:23,  1.05s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  7863 [astroquery.simbad.core]\n",
      " 98%|█████████▊| 7863/7999 [2:20:40<02:21,  1.04s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  7864 [astroquery.simbad.core]\n",
      " 98%|█████████▊| 7864/7999 [2:20:41<02:21,  1.05s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  7865 [astroquery.simbad.core]\n",
      " 98%|█████████▊| 7865/7999 [2:20:42<02:19,  1.04s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  7866 [astroquery.simbad.core]\n",
      " 98%|█████████▊| 7866/7999 [2:20:43<02:18,  1.04s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  7867 [astroquery.simbad.core]\n",
      " 98%|█████████▊| 7867/7999 [2:20:44<02:17,  1.04s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  7868 [astroquery.simbad.core]\n",
      " 98%|█████████▊| 7868/7999 [2:20:45<02:16,  1.04s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  7869 [astroquery.simbad.core]\n",
      " 98%|█████████▊| 7869/7999 [2:20:46<02:14,  1.04s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  7870 [astroquery.simbad.core]\n",
      " 98%|█████████▊| 7870/7999 [2:20:47<02:13,  1.04s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  7871 [astroquery.simbad.core]\n",
      " 98%|█████████▊| 7871/7999 [2:20:48<02:13,  1.04s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  7872 [astroquery.simbad.core]\n",
      " 98%|█████████▊| 7872/7999 [2:20:49<02:12,  1.04s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  7873 [astroquery.simbad.core]\n",
      " 98%|█████████▊| 7873/7999 [2:20:50<02:11,  1.04s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  7874 [astroquery.simbad.core]\n",
      " 98%|█████████▊| 7874/7999 [2:20:51<02:09,  1.04s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  7875 [astroquery.simbad.core]\n",
      " 98%|█████████▊| 7875/7999 [2:20:52<02:08,  1.04s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  7876 [astroquery.simbad.core]\n",
      " 98%|█████████▊| 7876/7999 [2:20:53<02:07,  1.04s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  7877 [astroquery.simbad.core]\n",
      " 98%|█████████▊| 7877/7999 [2:20:54<02:07,  1.04s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  7878 [astroquery.simbad.core]\n",
      " 98%|█████████▊| 7878/7999 [2:20:55<02:05,  1.04s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  7879 [astroquery.simbad.core]\n",
      " 98%|█████████▊| 7879/7999 [2:20:56<02:04,  1.04s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  7880 [astroquery.simbad.core]\n",
      " 99%|█████████▊| 7880/7999 [2:20:57<02:03,  1.04s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  7881 [astroquery.simbad.core]\n",
      " 99%|█████████▊| 7881/7999 [2:20:58<02:03,  1.04s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  7882 [astroquery.simbad.core]\n",
      " 99%|█████████▊| 7882/7999 [2:20:59<02:02,  1.04s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  7883 [astroquery.simbad.core]\n",
      " 99%|█████████▊| 7883/7999 [2:21:00<02:00,  1.04s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  7884 [astroquery.simbad.core]\n",
      " 99%|█████████▊| 7884/7999 [2:21:01<01:59,  1.04s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  7885 [astroquery.simbad.core]\n",
      " 99%|█████████▊| 7885/7999 [2:21:02<01:58,  1.04s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  7886 [astroquery.simbad.core]\n",
      " 99%|█████████▊| 7886/7999 [2:21:03<01:57,  1.04s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  7887 [astroquery.simbad.core]\n",
      " 99%|█████████▊| 7887/7999 [2:21:05<01:56,  1.04s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  7888 [astroquery.simbad.core]\n",
      " 99%|█████████▊| 7888/7999 [2:21:06<01:55,  1.04s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  7889 [astroquery.simbad.core]\n",
      " 99%|█████████▊| 7889/7999 [2:21:07<01:54,  1.04s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  7890 [astroquery.simbad.core]\n",
      " 99%|█████████▊| 7890/7999 [2:21:08<01:53,  1.04s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  7891 [astroquery.simbad.core]\n",
      " 99%|█████████▊| 7891/7999 [2:21:09<01:52,  1.04s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  7892 [astroquery.simbad.core]\n",
      " 99%|█████████▊| 7892/7999 [2:21:10<01:51,  1.04s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  7893 [astroquery.simbad.core]\n",
      " 99%|█████████▊| 7893/7999 [2:21:11<01:50,  1.04s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  7894 [astroquery.simbad.core]\n",
      " 99%|█████████▊| 7894/7999 [2:21:12<01:49,  1.04s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  7895 [astroquery.simbad.core]\n",
      " 99%|█████████▊| 7895/7999 [2:21:13<01:48,  1.04s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  7896 [astroquery.simbad.core]\n",
      " 99%|█████████▊| 7896/7999 [2:21:14<01:48,  1.05s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  7897 [astroquery.simbad.core]\n",
      " 99%|█████████▊| 7897/7999 [2:21:15<01:47,  1.05s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  7898 [astroquery.simbad.core]\n",
      " 99%|█████████▊| 7898/7999 [2:21:16<01:46,  1.05s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  7899 [astroquery.simbad.core]\n",
      " 99%|█████████▊| 7899/7999 [2:21:17<01:44,  1.05s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  7900 [astroquery.simbad.core]\n",
      " 99%|█████████▉| 7900/7999 [2:21:18<01:43,  1.04s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  7901 [astroquery.simbad.core]\n",
      " 99%|█████████▉| 7901/7999 [2:21:19<01:41,  1.04s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  7902 [astroquery.simbad.core]\n",
      " 99%|█████████▉| 7902/7999 [2:21:20<01:40,  1.04s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  7903 [astroquery.simbad.core]\n",
      " 99%|█████████▉| 7903/7999 [2:21:21<01:39,  1.04s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  7904 [astroquery.simbad.core]\n",
      " 99%|█████████▉| 7904/7999 [2:21:22<01:38,  1.04s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  7905 [astroquery.simbad.core]\n",
      " 99%|█████████▉| 7905/7999 [2:21:23<01:37,  1.04s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  7906 [astroquery.simbad.core]\n",
      " 99%|█████████▉| 7906/7999 [2:21:24<01:36,  1.04s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  7907 [astroquery.simbad.core]\n",
      " 99%|█████████▉| 7907/7999 [2:21:25<01:35,  1.04s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  7908 [astroquery.simbad.core]\n",
      " 99%|█████████▉| 7908/7999 [2:21:26<01:34,  1.04s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  7909 [astroquery.simbad.core]\n",
      " 99%|█████████▉| 7909/7999 [2:21:27<01:33,  1.04s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  7910 [astroquery.simbad.core]\n",
      " 99%|█████████▉| 7910/7999 [2:21:29<01:32,  1.04s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  7911 [astroquery.simbad.core]\n",
      " 99%|█████████▉| 7911/7999 [2:21:30<01:31,  1.04s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  7912 [astroquery.simbad.core]\n",
      " 99%|█████████▉| 7912/7999 [2:21:31<01:30,  1.04s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  7913 [astroquery.simbad.core]\n",
      " 99%|█████████▉| 7913/7999 [2:21:32<01:29,  1.04s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  7914 [astroquery.simbad.core]\n",
      " 99%|█████████▉| 7914/7999 [2:21:33<01:28,  1.04s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  7915 [astroquery.simbad.core]\n",
      " 99%|█████████▉| 7915/7999 [2:21:34<01:27,  1.04s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  7916 [astroquery.simbad.core]\n",
      " 99%|█████████▉| 7916/7999 [2:21:35<01:26,  1.04s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  7917 [astroquery.simbad.core]\n",
      " 99%|█████████▉| 7917/7999 [2:21:36<01:25,  1.04s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  7918 [astroquery.simbad.core]\n",
      " 99%|█████████▉| 7918/7999 [2:21:37<01:24,  1.04s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  7919 [astroquery.simbad.core]\n",
      " 99%|█████████▉| 7919/7999 [2:21:38<01:23,  1.04s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  7920 [astroquery.simbad.core]\n",
      " 99%|█████████▉| 7920/7999 [2:21:39<01:22,  1.04s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  7921 [astroquery.simbad.core]\n",
      " 99%|█████████▉| 7921/7999 [2:21:40<01:21,  1.04s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  7922 [astroquery.simbad.core]\n",
      " 99%|█████████▉| 7922/7999 [2:21:41<01:23,  1.08s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  7923 [astroquery.simbad.core]\n",
      " 99%|█████████▉| 7923/7999 [2:21:42<01:21,  1.07s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  7924 [astroquery.simbad.core]\n",
      " 99%|█████████▉| 7924/7999 [2:21:43<01:19,  1.06s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  7925 [astroquery.simbad.core]\n",
      " 99%|█████████▉| 7925/7999 [2:21:44<01:18,  1.06s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  7926 [astroquery.simbad.core]\n",
      " 99%|█████████▉| 7926/7999 [2:21:45<01:16,  1.05s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  7927 [astroquery.simbad.core]\n",
      " 99%|█████████▉| 7927/7999 [2:21:46<01:15,  1.05s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  7928 [astroquery.simbad.core]\n",
      " 99%|█████████▉| 7928/7999 [2:21:47<01:14,  1.05s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  7929 [astroquery.simbad.core]\n",
      " 99%|█████████▉| 7929/7999 [2:21:48<01:13,  1.05s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  7930 [astroquery.simbad.core]\n",
      " 99%|█████████▉| 7930/7999 [2:21:49<01:12,  1.05s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  7931 [astroquery.simbad.core]\n",
      " 99%|█████████▉| 7931/7999 [2:21:51<01:11,  1.05s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  7932 [astroquery.simbad.core]\n",
      " 99%|█████████▉| 7932/7999 [2:21:52<01:09,  1.04s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  7933 [astroquery.simbad.core]\n",
      " 99%|█████████▉| 7933/7999 [2:21:53<01:08,  1.05s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  7934 [astroquery.simbad.core]\n",
      " 99%|█████████▉| 7934/7999 [2:21:54<01:07,  1.04s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  7935 [astroquery.simbad.core]\n",
      " 99%|█████████▉| 7935/7999 [2:21:55<01:06,  1.04s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  7936 [astroquery.simbad.core]\n",
      " 99%|█████████▉| 7936/7999 [2:21:56<01:05,  1.04s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  7937 [astroquery.simbad.core]\n",
      " 99%|█████████▉| 7937/7999 [2:21:57<01:08,  1.10s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  7938 [astroquery.simbad.core]\n",
      " 99%|█████████▉| 7938/7999 [2:21:58<01:05,  1.08s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  7939 [astroquery.simbad.core]\n",
      " 99%|█████████▉| 7939/7999 [2:21:59<01:04,  1.07s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  7940 [astroquery.simbad.core]\n",
      " 99%|█████████▉| 7940/7999 [2:22:00<01:02,  1.06s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  7941 [astroquery.simbad.core]\n",
      " 99%|█████████▉| 7941/7999 [2:22:01<01:01,  1.06s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  7942 [astroquery.simbad.core]\n",
      " 99%|█████████▉| 7942/7999 [2:22:02<01:00,  1.05s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  7943 [astroquery.simbad.core]\n",
      " 99%|█████████▉| 7943/7999 [2:22:03<00:58,  1.05s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  7944 [astroquery.simbad.core]\n",
      " 99%|█████████▉| 7944/7999 [2:22:04<00:57,  1.05s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  7945 [astroquery.simbad.core]\n",
      " 99%|█████████▉| 7945/7999 [2:22:05<00:56,  1.04s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  7946 [astroquery.simbad.core]\n",
      " 99%|█████████▉| 7946/7999 [2:22:06<00:55,  1.04s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  7947 [astroquery.simbad.core]\n",
      " 99%|█████████▉| 7947/7999 [2:22:07<00:54,  1.04s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  7948 [astroquery.simbad.core]\n",
      " 99%|█████████▉| 7948/7999 [2:22:08<00:53,  1.04s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  7949 [astroquery.simbad.core]\n",
      " 99%|█████████▉| 7949/7999 [2:22:09<00:52,  1.04s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  7950 [astroquery.simbad.core]\n",
      " 99%|█████████▉| 7950/7999 [2:22:10<00:51,  1.04s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  7951 [astroquery.simbad.core]\n",
      " 99%|█████████▉| 7951/7999 [2:22:12<00:50,  1.04s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  7952 [astroquery.simbad.core]\n",
      " 99%|█████████▉| 7952/7999 [2:22:13<00:48,  1.04s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  7953 [astroquery.simbad.core]\n",
      " 99%|█████████▉| 7953/7999 [2:22:14<00:47,  1.04s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  7954 [astroquery.simbad.core]\n",
      " 99%|█████████▉| 7954/7999 [2:22:15<00:46,  1.04s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  7955 [astroquery.simbad.core]\n",
      " 99%|█████████▉| 7955/7999 [2:22:16<00:46,  1.05s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  7956 [astroquery.simbad.core]\n",
      " 99%|█████████▉| 7956/7999 [2:22:17<00:44,  1.04s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  7957 [astroquery.simbad.core]\n",
      " 99%|█████████▉| 7957/7999 [2:22:18<00:43,  1.04s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  7958 [astroquery.simbad.core]\n",
      " 99%|█████████▉| 7958/7999 [2:22:19<00:42,  1.04s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  7959 [astroquery.simbad.core]\n",
      " 99%|█████████▉| 7959/7999 [2:22:20<00:41,  1.04s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  7960 [astroquery.simbad.core]\n",
      "100%|█████████▉| 7960/7999 [2:22:21<00:40,  1.04s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  7961 [astroquery.simbad.core]\n",
      "100%|█████████▉| 7961/7999 [2:22:22<00:39,  1.04s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  7962 [astroquery.simbad.core]\n",
      "100%|█████████▉| 7962/7999 [2:22:23<00:38,  1.04s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  7963 [astroquery.simbad.core]\n",
      "100%|█████████▉| 7963/7999 [2:22:24<00:37,  1.04s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  7964 [astroquery.simbad.core]\n",
      "100%|█████████▉| 7964/7999 [2:22:25<00:36,  1.04s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  7965 [astroquery.simbad.core]\n",
      "100%|█████████▉| 7965/7999 [2:22:26<00:35,  1.04s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  7966 [astroquery.simbad.core]\n",
      "100%|█████████▉| 7966/7999 [2:22:27<00:34,  1.04s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  7967 [astroquery.simbad.core]\n",
      "100%|█████████▉| 7967/7999 [2:22:28<00:33,  1.04s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  7968 [astroquery.simbad.core]\n",
      "100%|█████████▉| 7968/7999 [2:22:29<00:32,  1.04s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  7969 [astroquery.simbad.core]\n",
      "100%|█████████▉| 7969/7999 [2:22:30<00:31,  1.04s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  7970 [astroquery.simbad.core]\n",
      "100%|█████████▉| 7970/7999 [2:22:31<00:30,  1.04s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  7971 [astroquery.simbad.core]\n",
      "100%|█████████▉| 7971/7999 [2:22:32<00:29,  1.04s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  7972 [astroquery.simbad.core]\n",
      "100%|█████████▉| 7972/7999 [2:22:33<00:28,  1.05s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  7973 [astroquery.simbad.core]\n",
      "100%|█████████▉| 7973/7999 [2:22:34<00:27,  1.05s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  7974 [astroquery.simbad.core]\n",
      "100%|█████████▉| 7974/7999 [2:22:35<00:26,  1.04s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  7975 [astroquery.simbad.core]\n",
      "100%|█████████▉| 7975/7999 [2:22:37<00:24,  1.04s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  7976 [astroquery.simbad.core]\n",
      "100%|█████████▉| 7976/7999 [2:22:38<00:23,  1.04s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  7977 [astroquery.simbad.core]\n",
      "100%|█████████▉| 7977/7999 [2:22:39<00:22,  1.04s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  7978 [astroquery.simbad.core]\n",
      "100%|█████████▉| 7978/7999 [2:22:40<00:21,  1.04s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  7979 [astroquery.simbad.core]\n",
      "100%|█████████▉| 7979/7999 [2:22:41<00:20,  1.04s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  7980 [astroquery.simbad.core]\n",
      "100%|█████████▉| 7980/7999 [2:22:42<00:19,  1.04s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  7981 [astroquery.simbad.core]\n",
      "100%|█████████▉| 7981/7999 [2:22:43<00:18,  1.04s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  7982 [astroquery.simbad.core]\n",
      "100%|█████████▉| 7982/7999 [2:22:44<00:17,  1.04s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  7983 [astroquery.simbad.core]\n",
      "100%|█████████▉| 7983/7999 [2:22:45<00:17,  1.07s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  7984 [astroquery.simbad.core]\n",
      "100%|█████████▉| 7984/7999 [2:22:46<00:15,  1.06s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  7985 [astroquery.simbad.core]\n",
      "100%|█████████▉| 7985/7999 [2:22:47<00:14,  1.05s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  7986 [astroquery.simbad.core]\n",
      "100%|█████████▉| 7986/7999 [2:22:48<00:13,  1.05s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  7987 [astroquery.simbad.core]\n",
      "100%|█████████▉| 7987/7999 [2:22:49<00:12,  1.05s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  7988 [astroquery.simbad.core]\n",
      "100%|█████████▉| 7988/7999 [2:22:50<00:11,  1.05s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  7989 [astroquery.simbad.core]\n",
      "100%|█████████▉| 7989/7999 [2:22:51<00:10,  1.05s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  7990 [astroquery.simbad.core]\n",
      "100%|█████████▉| 7990/7999 [2:22:52<00:09,  1.05s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  7991 [astroquery.simbad.core]\n",
      "100%|█████████▉| 7991/7999 [2:22:53<00:08,  1.04s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  7992 [astroquery.simbad.core]\n",
      "100%|█████████▉| 7992/7999 [2:22:54<00:07,  1.05s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  7993 [astroquery.simbad.core]\n",
      "100%|█████████▉| 7993/7999 [2:22:55<00:06,  1.05s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  7994 [astroquery.simbad.core]\n",
      "100%|█████████▉| 7994/7999 [2:22:56<00:05,  1.05s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  7995 [astroquery.simbad.core]\n",
      "100%|█████████▉| 7995/7999 [2:22:57<00:04,  1.04s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  7996 [astroquery.simbad.core]\n",
      "100%|█████████▉| 7996/7999 [2:22:58<00:03,  1.04s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  7997 [astroquery.simbad.core]\n",
      "100%|█████████▉| 7997/7999 [2:23:00<00:02,  1.04s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  7998 [astroquery.simbad.core]\n",
      "100%|█████████▉| 7998/7999 [2:23:01<00:01,  1.04s/it]WARNING: BlankResponseWarning: Warning: The script line number 3 raised an error (recorded in the `errors` attribute of the result table): Identifier not found in the database : NGC  7999 [astroquery.simbad.core]\n",
      "100%|██████████| 7999/7999 [2:23:02<00:00,  1.07s/it]\n"
     ]
    }
   ],
   "source": [
    "NGC = []\n",
    "for ngc_number in tqdm(range(1, 8000)):  # 假设查询 NGC 1 到 NGC 9\n",
    "    coordinates = get_ngc_coordinates(ngc_number)\n",
    "    if coordinates is not None:\n",
    "        NGC.append([ngc_number,coordinates[0],coordinates[1]])\n",
    "        time.sleep(0.1)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
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       " [951, 37.236963749999994, -22.349541944444443],\n",
       " [952, 'N', 'G'],\n",
       " [953, 37.79082416666666, 29.58878222222222],\n",
       " [954, 37.21505666666667, -41.40266527777778],\n",
       " [955, 37.63808749999999, -1.1084186111111112],\n",
       " [956, 38.0625, 44.56333333333333],\n",
       " [957, 38.34291666666666, 57.55305555555555],\n",
       " [958, 37.678411249999996, -2.939035],\n",
       " [959, 38.09968375, 35.494570833333334],\n",
       " [960, 37.92209166666666, -9.300280555555556],\n",
       " [961, 40.260401249999994, -6.935865555555556],\n",
       " [962, 38.165936249999994, 28.070008055555554],\n",
       " [963, 37.630374999999994, -4.215425],\n",
       " [964, 37.77419791666666, -36.03469],\n",
       " [965, 38.104474999999994, -18.639680555555554],\n",
       " [966, 37.946582916666664, -19.881721666666667],\n",
       " [967, 38.05300166666666, -17.216839722222222],\n",
       " [968, 38.52589166666666, 34.47986277777778],\n",
       " [969, 38.53299541666666, 32.94728416666666],\n",
       " [970, 38.54874666666665, 32.977309444444444],\n",
       " [971, 38.566637083333326, 32.97970611111111],\n",
       " [972, 38.555655833333326, 29.31127888888889],\n",
       " [973, 38.58375416666666, 32.50555833333333],\n",
       " [974, 38.607478333333326, 32.95445277777778],\n",
       " [975, 38.34477583333333, 9.601680555555555],\n",
       " [976, 38.500158333333324, 20.9767475],\n",
       " [977, 38.26427916666666, -10.759885277777778],\n",
       " [978, 38.695693333333324, 32.84619333333334],\n",
       " [979, 37.91171249999999, -44.524316388888884],\n",
       " [980, 38.82735666666667, 40.92648805555555],\n",
       " [981, 38.249558333333326, -10.973936111111112],\n",
       " [982, 38.853562499999995, 40.86969722222222],\n",
       " [983, 39.73179833333333, 34.62227055555556],\n",
       " [984, 38.67956749999999, 23.41299638888889],\n",
       " [985, 38.657841666666656, -8.78806111111111],\n",
       " [986, 38.39295291666666, -39.04503555555555],\n",
       " [987, 39.20670916666666, 33.32725555555556],\n",
       " [988, 38.865687083333334, -9.356092499999999],\n",
       " [989, 38.44188166666666, -16.511151666666667],\n",
       " [990, 39.07585833333333, 11.642102777777778],\n",
       " [991, 38.88618375, -7.154406111111111],\n",
       " [992, 39.35621249999999, 21.100844444444444],\n",
       " [993, 39.19191708333333, 2.0503780555555555],\n",
       " [994, 39.19191708333333, 2.0503780555555555],\n",
       " [995, 39.633547083333326, 41.529269444444445],\n",
       " [996, 39.66618083333333, 41.64749194444445],\n",
       " [997, 39.31033958333333, 7.305683055555555],\n",
       " [998, 39.31878666666666, 7.3357544444444445],\n",
       " [999, 39.697764583333324, 41.670465],\n",
       " [1000, 39.70727916666666, 41.45967916666667],\n",
       " [1001, 39.80278958333332, 41.67169555555555],\n",
       " [1002, 39.73179833333333, 34.62227055555556],\n",
       " [1003, 39.820387499999995, 40.87229166666667],\n",
       " ...]"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "NGC\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "7977"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(NGC)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "ngc = np.array(NGC)\n",
    "np.save('NGC.npy',ngc)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "分别在赤道坐标系和银道坐标系画出天球位置分布（可以适当阐述分布特征：如是否有成团性）"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 576x302.4 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "ngc = np.load('NGC.npy')\n",
    "plt.figure(figsize=(8,4.2))\n",
    "plt.subplot(111, projection=\"aitoff\")\n",
    "# plt.title(\"Aitoff projection of our random data\")\n",
    "plt.grid(True)\n",
    "plt.plot(ngc[:,1], ngc[:,2], 'o', markersize=2, alpha=0.3)\n",
    "plt.subplots_adjust(top=0.95,bottom=0.0)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "应该是有字符串的问题"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 576x302.4 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "ngc1 = np.load('NGC.npy')\n",
    "ngc2 = [[eval(j) for j in i] for i in ngc1 if i[1]!='N']\n",
    "ngc = np.array(ngc2)\n",
    "plt.figure(figsize=(8,4.2))\n",
    "plt.subplot(111, projection=\"aitoff\")\n",
    "# plt.title(\"Aitoff projection of our random data\")\n",
    "plt.grid(True)\n",
    "plt.plot(ngc[:,1], ngc[:,2], 'o', markersize=2, alpha=0.3)\n",
    "plt.subplots_adjust(top=0.95,bottom=0.0)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "上图应该还不是，南北极太密集了。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 576x302.4 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(8,4.2))\n",
    "plt.subplot(111)\n",
    "# plt.title(\"Aitoff projection of our random data\")\n",
    "plt.grid(True)\n",
    "plt.plot(ngc[:,1], ngc[:,2], 'o', markersize=2, alpha=0.3)\n",
    "plt.subplots_adjust(top=0.95,bottom=0.0)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "coords = SkyCoord(ra=ngc[:,1], dec=ngc[:,2], unit=(u.deg, u.deg))\n",
    "ra_radian = np.deg2rad(coords.ra.wrap_at(180 * u.deg).value)\n",
    "dec_radian = np.deg2rad(coords.dec.value)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 576x302.4 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(8,4.2))\n",
    "plt.subplot(111, projection=\"aitoff\")\n",
    "# plt.title(\"Aitoff projection of our random data\")\n",
    "plt.grid(True)\n",
    "plt.plot(ra_radian, dec_radian, 'o', markersize=2, alpha=0.3)\n",
    "plt.subplots_adjust(top=0.95,bottom=0.0)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "赤道坐标系画到天球位置分布图上的效果"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 使用 SkyCoord 转换为天球上的赤道坐标\n",
    "coords = SkyCoord(ra=ngc[:,1], dec=ngc[:,2], unit=(u.deg, u.deg), frame='icrs')\n",
    "\n",
    "# 转换为银道坐标\n",
    "galactic_coords = coords.galactic\n",
    "\n",
    "# 提取银道坐标的经度和纬度\n",
    "l_rad = np.deg2rad(galactic_coords.l.wrap_at(180 * u.deg).value)  # 银道经度，映射到[-180, 180]区间\n",
    "b_rad = np.deg2rad(galactic_coords.b.value)  # 银道纬度"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 576x302.4 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(8,4.2))\n",
    "plt.subplot(111, projection=\"aitoff\")\n",
    "# plt.title(\"Aitoff projection of our random data\")\n",
    "plt.grid(True)\n",
    "plt.plot(l_rad, b_rad, 'o', markersize=2, alpha=0.3)\n",
    "plt.subplots_adjust(top=0.95,bottom=0.0)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "银道坐标系画到天球位置分布图上的效果"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Heapix分区NSIDE至少为多少时，保证每个pixel中只有一个星系？\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 612x388.8 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "import healpy as hp\n",
    "\n",
    "NSIDE = 1\n",
    "NPIX = hp.nside2npix(NSIDE)\n",
    "m = np.arange(NPIX)\n",
    "hp.mollview(m, title=\"Mollview image RING\")\n",
    "hp.graticule()\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[-7.07106781e-01  7.07106781e-01  6.12323400e-17]\n",
      "[1271 1272 1335 1336 1337 1398 1399 1400 1401 1463 1464 1465 1526 1527\n",
      " 1528 1529 1591 1592 1593 1654 1655 1656 1657 1719 1720 1721 1783 1784]\n"
     ]
    },
    {
     "data": {
      "image/png": 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4fVPRdZRQkaXY4SUP/wU+T4JotzBK8ewii/Ck6zxnfqvuZMlzcttGJHsd12G8MtpmFvv3HTG/Q2iWS5Yjzct5TxryslpJXo4vIv4aWrSPqPO4jjjX3/D+/5PnKQ4FKrKuK17y8F+4+iGSQyGZQzJG3kpIOJ0EfgolxCttl4/WfViaqyOdz9N5DliR5SL0MDXeT9/EHrgID/ZVkGcmnQMnmScXQu82IOOB8qKiq/f6F/ClouugERVZE467K2oRFFg+FgtMMKAcKV6ME8r74HydLDGBVdOuGLcEoXI1vvyypf7HmisAQg/dEAflifkKtN//zCwWxVuziP8aXzEexw1xYoKK9RXo65ig4sYEHbcx5jq0XisODhrJOjKwN6pd6CSSZKfqy4qnkLDyORLt4sD5OPT+7uwrFMlyYR/AqYep+5BGeLCvRLuRl9XmHiSQOmxQk3/X/boajd2U5jiRRrYODLpdeMx46Yf8Jbk8BuHcDokfaZb8sWezWNDA5GCZkyXEISKWB7cLqBPys5jTsAZ+CBfgSfpCANd3diqbHyPlZ7Eg4u6x5ZLn5PB6+bG+iHh/SH9JjY2kr8VCLjdPMs9vuaR/+ct/l/WlGBUqso4RL/2Qv3Tx79SNar/JJTlAsmvujx/X+srhwL4SQgYRTiYQHZPymeTYZG9AGHE8KU7v+i4iWEh+mcvrwXF5qYcmIlRQMSPlK4fjIsWX7ntJXwAHET4cT5pDRCq2pgsVWccGV2AR8UmfrRN1S18syfmSfHFnTMS4wgnh+AiV8fmo36Avb3ssJEQQjs9DOK3rK/HTLKleMtE/9tB0xQrCifGkOKW+EL+5fSt5IEPwMEbx2lpw8AJJ3lehNUmoyDp0+KLKBZKjgOSN5L4wsjXH5VX72YsXVCyleDVlOd4leyL3yIoRhJPiSfup5UBt6pE7I8Uhui9CYkLFfbAiYgYVPFz0qcZPCr3znDqOefZa25hDpKJrItDThYeMlMCygE7WJE7yuGKm5ORQC459IWa1H1BgmZPlxX+5sGWQsqk6curmEsAtB+FJ+ZHgVLUZOcnV+dQYi+USEzI5YifGza0rV2C5dSyXMtt3yHhyeVk5fhLIPcGYil5JnYREng+K8aCRrAlD7OZZzPkfQlVMB9vt2C2YNiSEjaIv0De6X0csF2Lrs0a1RoNuFx4KXvq8v3z/j1gSsP2Wn0pKdiMBNb9az/1afe6v1NdwctoryXHvkVCfu32NjAk6btwLVWOJ8mNwUicjpeuaC8/tFMflTW1ecj9ULHU/InVx9wiR/JqEcFr3AeJnpLn4L9/5t+N+FNJQkTV1XBJXFiUPdH+bBfnF+DE5od8EK+H4PKn2+vcH0uc+J7T1hfgpEVn+duPUOehb+F2e/9t1yDiGeFO6D0o4UvWEeL3uFYlrDPF0/C+gYqsLVGRNEUFhZWEXqFRuCsdxb0Lul+RTP4DaizOltqTuC4mxQTg5L1VtzXGFD8dp3ZbUDwT3nqsIZwrzuWdbYvcOck8cY39MaC6p4GoGTXyfGpICy4JL/l3Mec5ywf+CPPIL84gPKU4Mkose0pYYkH63vBoOkgSPJspL+eI4Uj4KDh8QUd/5XusD5Uj4kmxv7X2T2i5vsc0Xs7derybYlpd++JewHIUsNJLVGS/5qFeRYd7sPZwsec5yQeZAktmRtk7peoblgu3/qaBX305pfJKRrM7o1beT6n8GU7p/jrJvBa5nWC7oDf/lqyWbdt2h24Vj4yUf9SoioujiMzjf3KMc55tK7CbiOMfko0U9F9yJj4FEPb3aId4Wl3svMk6nyySHs8OcIxqnFvVccJl1T9dFOR+5HBVbItDtwjFhBVYMA7A1Elq4fHvqxvLtiI8W7ZD00fJ6S8ckt/9KfJTUU+JPqh3Sc+qS7XR5SQzFOJy91gdReR/m8EvHBJl3uT7QckS7+yl1T1m7z3GFVcyHe++XzjcJH769hCPdDoTDPZ8UddBIVkOEJq+/aIRwicMsCAinlQ+Xw9kl6kB81NQTrLvzWEy9j3rUw7Yj1jYn2hQSRTl2yMcBjcWYa0QI3DroR604To/1Zyr3RKkPhKNRrWLodmEvcN8KzPkq+Y3OnK/Yxcqs1kkOZ5+Sj1p0aQNzj9S2gVvED81HbX+zPrh5eW8FRZ5qfJh76ft0SuMh4aP1fcyBWzeJiL1P2TomsiZOxYcKriyoyOqBl3zsq+vf3Fv7ZuSTZfrFkBI+JOpYLur7qpeP1mNy3fqzFh0e+MNyTmaVOAVHRLRNz4vhdEHmXmVSfAcfEnWwbVh2OnzB3KvIoSK2HYyPHnV0wXJBb/jPrx23DYcDzclqjZd87KvThOWCP2LNPTyQo+/cjVnrA6mDuw7uQYz0BeKDK488rBFO6esGUNS80sACmX815Tv6GJZzGpbpE4aIvdrH6YKGUyZnJmFHynOQ8IHUwXLA3KCaHCMk+sLlfiERMc4O7UY0roOI6u834H5kn2sKFhrJqsCVCeg/9EMTmONwb8TOtUv44Oz+NYTEj8uptUv5SPkLcaX7TeJt6Fy/5NolfOTafQ5j98VPKOLkcjh7iJNt9yJBIWHCcWrtPeq4Yi/MH4pxfT5ycIb1EVgTuVOLqQT8HnaIM8K9r5GtKDSSJY0ihY9Mche1L34MRUD8N3fX1tH62xRqj3E4u8vLQUm/SbzI00XJNbmf9Ype1dQBtIGLSklFvpL2zKhWiFsTFSvhd2kDELlKcawd4UTt4MnGZDsF7ClhJ9GG7HuxYPtWI1v50EhWJpKTbLXG3jQew/mK/7mRWjtRvY+aa5SwE8U5nD0FpGyPMWrZ/whn4nZO8JjVJslpbr+3TooRzi7ho4sdiFCVJMyjp/mqkvkrt/wk7ERp4QT5GPE+1KjWJWjiey1e/ILX0Oy8cULv1FGbAF5b/cmCjI7B2C0YHZzIUnTCdtzqh9M5mXvM4YQjhxl5PdieLOiH3/KaUdswEeh2YQ04gbU9SX9b254skhzOjtaRQvPtEq5+AXtKYCHl7X8cp6qdR9DPU7eLjJPa6+zs9umchtPEFu7enuJYXgzm3qaq/EHYmX4e+9kzO1/Ti1/wmmT56w6NZCXgTp6QyHIn3xTtOcm/rD3k36mfs4c4OXaJ+qXaErRLJ1Jz9oZ9NYbd5XDlub7gfEm0d0y75H1VZL+S9O/N1dM8e4rr83PtuW2Rrl/EnrFOj/0cusZRLY1k5YJT560jTzX22kRg1l4QEXIX6hJ7qI4au6Sv5tGrzO0x6b7rFZ1q4X+MqFfPudujPtZeGa2R9OVHx0KiKsfO+e9uF4hstbRrVOsqVGQFkJooteHX1vbafJUW21W+gKq1xwQaupU0BUjmFbUUISHbpajSyA/4MdrB9UnI1kpE5uIg7g1vKzFXKFmOlD3Wxho7B05opdaPsZ9BKrQuQ7cLHbSaHLPzNbuvzX1D4JBKgKw9LVUDc75mt+3GWvhr22bO1webhC1y7YXjVuubPV044baPOd9rwc13LkcKyaFqhTHbVl135QGDHs+fGK7R9qGeLkzhRZ/0N5OnVMY+xZKqfzid0+xuIin/bJG2n8xpdj7NEzpc2yZhj/wcyXAy7klIrv6a9tX6ru2bze3TaL8j2J4ukuVZe8U9UzvnWiNVf2q+E0n064I9YFRjHxMi1xZZx7k1vjW45+NwOqc3vvmvdWzRKNCcrFK0DBuj+/MpgZXC9ozbX+cX/JStlZ0razmlbUd4SP0cxsozap0jVQOpbbst856pWnsp0LlbakfuqxrfHEr7FSpn+JNsNafpemyjxYC2PWmPrOezu2vani2S6z1nH3t79JhxbSNZL/qkv3np79SpkymdePFt/jcY/0a6YncW0pBI8Rdan5Oy15TNbRvnO1WPdF3+t3MuqT9my7VP6dRaz+vi+p/o8kPdt/sP/Bz7mHOcs3e9dxN9ljsevt1/2vgRnprTcL6QybHXlG3SNmdtZ9d9xt7zeXekUS2NZLnwBZaP1tGpHN8525Q5AutK2YLIU2qRDpVPlW0d9ar5G7URyZ8MS3ElT7X1TL6WrnusqBVR28hRzTzNrSuXn+pT35b799W2yEWnOOESKp8qKxn5ym3bpbKMqLpSNxPVknyG+eCev8eGaxXJSg1uKvnQCp2UvTSxsaasvbGSYWQmwlNqtyIpZW9RFrFLl7NliRJtvhdPaHZPP8bsNYnYpb5r21Vjr6k7OTfuraMPbRtBSdlTD/zZvfL7qeX9wqFZu5j+ZNvF9HfsqVOTyG2FTMreomzzdu+3DKO+E/bZ3XXV84uo/Nl4RFEtTXy/buqZiIi2Bz9sBwNzDbt6rJNypWKjFpzIUgjjGt5TY2HMn+c5EqF1vbcLP+PTv7K47JZ7+VvqfSUVZWuRbNfpIivcL4me2ys5aNmuTUVSKFc2Za9NkuawuX1a7Ltlu7Yn8WUtZePs6wdOittERLRNjdXpnLUnfU907le1i7vmmv5qmKg9JObQcDJj7a2QrNeY0fqz5vl8CDjqSJYdvFkgr8kVIbPATxVYe8rWsqyIXTA5tTqxVSihV7qsy6lNRJ5788wVQL4txx6yceXH6m9JO3Iw46p9ti979eVCroCqtofWlNN51J6y1ZbdtU1mDreaC9X3Xsf+RuyuYDHeXEnZWpaVtNf0WU3Zf/Vv/uoV24Hg+kWyYup4u5wnhYpvD5WPlfXtOTakbI6dOzF1pTwjktCyQftIR9IRtKrbjzDlRrNcfqgsF8HK+TsF6e2xnD7NbbcrgmoiViXI+Sbvc7m/OVuqz9i2CB76aHkf10a1ekZpXPHCRaZ8u1+2ZVQsZQ9dsyuOcvvbLxsrf4xRraMVWRaXBjdT5LgiKlfkcL5zyobgty2FmtNXtVuLLXNYahf93IdCzcPMR0ok1W4R5qJGdOX83VowX/WHCy2fy/5dIapqy9RsHUp+KeHukZCtSog13OKrEVotxY5vD0WfuLKlbUPEKRpNjJWPlT0mHNV2oa+CZ/c2SQEyW5XbubK1qGkbEX/Kij1FVWGnhkmUtScPW57i4jC/t0kKpBq73S5sdWKz5mQmh9rTpruy4YeF3faTjlxd+L+3ST5Mauz2wZOyH+uYsnamX1tidm+TFCfmfFtsrymL2GvBzVfpe+GAtg+v33YhUd32HGdny1ZO9GTdJ7Oq6NVU35a98125rVBhX98+aRp5WzGJ0zURrM1p223X1hHJuranE91bCSyi+q2mMZPhVw8sk/YabE/mtL4d9998+3DEMa+JXCFlN8t2ifMp30SVEdYRDyOMiaMRWVf2chNR1c1p+rJr7duTWTBx1tpqHgop39bOtW0se+vciDHztzg7UralSKoRcLVA5kzNicBNwr45mSXtXPla1NbN2hNr0eZ0VrWWIetcDUZdi2rnXOX9VGOfr7ZJMbRZpoVYys75tuVb2l0cQ47WwW8XuoPgDt783lUh4i4auXZ/wfHt/k3pC6Ece/OTURM+eVVk9wTGVE/L9bCnTji2sI8971a370dV5wG7K1Kk7b4Aamln2ya83iH2lmMruZ5y9tq215wcLra7z7pVYOwSdl/ktLTnti1ln/jW4XFvF7LKnflGh9hTkF4QOP897dWRt4lFr/JPrB2uvfW37att6TtPXYEVQusoUs/6aiJaPey5Y5cbBZvyGrc5nTc7yALZMyNHtaIqp/6aqBpiPwQcbCTr01781VHb/N42uShI2FM3HZdsewz25PU3TAa+sDdM+O1hJ4oLpFq7/eabSpKvTcDn5n9re0pgzc+3SVEyZbuNWBXb9xGn2PrF2S2ndv27rnbk3hOxJ7b7WtotZ0z7j/zwq6K2EXFcP6vzGZ/+laOq2+v4EypTwjGIrJZ2TiTVYsyf4CBqm0M1BVSLuAl8yRzTfi1wjX8ybb7aTnHr8Hi2Cz/lZV+TFFhjb72NHbY/9gcQEX8qamx76lRVDzvXvt4v6rxu2HIntBj76lZ6G5S1M9uox24/BmyX0Wf2zs5t345tb/ic3Sxn9Ckv+5pk+SnhoCJZn/Kyrxk9qXuMBFPIR8MEXwm7y6m1E40zDmMmAvsczt6qDaMn/LoRusDaNXYiviugZoGk3lq7y+Hsrdrg2qe61liRMluFH12oPcaZlD3yzHCFUIjT3N7hXvy3P/BlVz4fCYcfyYop1+vwrTxHYAXLj2zv0oYDT/xFEoPdzzi7RBtz7bkJvLV/k7m8rkn0sai9MqIVsrufcfaSv3PbOPbawtnZiBBjl/DRwu4KLy6qdAgovdcOIaJ1EKNjO7LFqby6UyX1pxar33Mz8UWOe09RrZ3o8ARWiX1sARWy5/y+YsscsRrkCNciYdtAaPn2HnWkMPU1Zrs0SSHD2S1n0vbTWVJsjW5vsIZZPTB1oTV5keV3oB2s0IDYhMhSu19HDGOKK/t5a/EiIn4idvt5qf2C16OfGXtsntjPWx89r2lDrd2iRkDZsjEfnN1Gs2qvIQV0jGJixH7eys7ZcuylbUDu6V7rTUyQ2M85ewy1Yk3SHr2GscUUKLa2J+GXaufYXUxZaE06J2vKHTcWtieGZvfiw7E9Tdt7YHtiaHaeaCNjP5Q21J4y3ZwamifGirNLYLs00bwUxN4DXBtWt2Y0bzyfOGxOJjCWE7jvOPS5L9PlN6ezaO4rYu+Bzcksmm+G2CeBEabaiDlah5eTdTWCxXzLaGyfShtqsT3lws71/VALibFo3YbtiaFNoq82p2m7BCS+GXP+e7Shpo0Wm8R4bU5MU/sFjxnvmvnSZT6dmOS85+yW0xKIf257vxaI/zF/ykmqDRJ5sr1TOaYYmJlkJMt2lH9D+d9wOLvPqbX3qCP2Le4SJ/CN2BVHtfYQR3osSnzk2nvV4Uco/IehtJ3oqvjwIz21dp/T2l7qY3Xr/iIbimb54ojjVNsDY9VlPhzpvVXrI/fn0RAOa/fEx9inuXu0IcS5Yq880R3ixOwjRLQOJ5IVE1g+EHvrb2VSPri/WR+Z0Snubwlw19Wijlp+yJ5bR000A7ET1UegWpyoyv0bAefDFVhE6WhWDH6Z3L+v+APGr8sc6RxVL7l3pO/fEvgP6RZRMF9scH9z5UP2MerI9iFx0Au0TymiNalI1u95+euqys/Oh+SNiNiJ0jfzJOrYf5NNiaPZvaHaXt1Oxi4BiTbU+pjfG5IPPht54DiIj5RYma2GanuPOkoEl+/DF1i5mJ8PScFUbRcac2hOjL0edVgHeqwlEm/CJ0qLDYmfZJKoo0c7OdFV298I3vRPv6SqfAaik3MyIuuFr3j99BP5BLBZGpqPnEiMYLM0oycTKy7DVN4ePZKve6AkYjVFSBwq0J/4mhYOZd2cwoGWHtguDf3Yd/3lHlVNf7uQO0nR44WZHDbMN3DOLlVHisPZ0To4sNsmAsnEnL3HiwQRSGzf1fpAEqc5SCRf145pL7QeM2RMuXoQH7X3IeqjFiJrjsC61nrtJKrvzx5rJ4IppiWE7Eh0fkyMHsl64SteT0RCiXWtEgidQQxFoXLsIQ5nH81HQSJxj0RjovZJ17lJ2b18cInVJYnXuT6CduF5gfgIYYxxGyvp/8rc6NDnRT4y16YSu4SPJmvsRMfkUOd4zb3aOKI1/UiWj0kk6hV8s+H+RjCGj5A9O+kXOV6d6SPEr03KLkGuz5BdwocPX0Bxf5f44PhBToe54qNXZLPF/JM4OCBxb0n4yIXIWiXgI5eD1NmjPyV81M4/iWi8lI+pYVSRZaNYPrps/QV8uJ/Vhp4RH2g9PXywdTR6aLqflUQq/M9KH5K5PlC/0nAFTul7k3J9hDiXfBQ+aHPHvgTS44qI57HaIQ2RcQUEUdDHcno+SuwIxvjyGsKhiKDSOmJ6ozVG2y4c64JZYP2hEASShKkJvhPFRMZlit9gFTSJ+bFdEs1WY7diOrjua2mjbcPoAjRKJMsXWJtlmr9ZYpxaID5aJzUSySTV9vjGgHCktmcOIXkX4UhFSLscbpDw0eF+Wd2adZkfrA+dH9noMT+IdkKrpR3l1PrYLtMczk5EtDnZ/cdxauwoh/XRQBv0DvB0j2S5F+hf/Nz7tsHZfU7IjnAu2QXeGh3iID56JCPm+ghxJJKLS+qpTaIv5UgcKkA40gnCvXwQtUnO9Tkhu/Qb30McyMeBjN1oc7nwgEvt/e0LjlBES4KT6yMWWeM4OXaUMz+//Lcvjnx7CSdoF352hzgpu3BEa1qRLInIFOojtx6JxEPE7n/WYj+8JH+kJAJWUq9I0neDpFGoDJDw6ttbRA56HarIvl6hpHZufEve+N7kcMYBjV3ILpHgzbZDYI2UGDtfYISiPgiHQ0lkLLdeJGqF+JSIWnFl2DoaPc9LfEijq8h64Stej23Jddj6gwZsIu8jkfARE2lIMq10wm0LgRWylybac4m70ojVwSXuIn4QH7n1lCC73xsm0/dIuJfod4nkbtRPLaB2MP0utd7mCq0SuD5i/jhOiUgqgYQPRIiJcHql/Sz7bRt22y78hD8x0UT3EXHdExAnDWZsNieH8WbnY8Skktyv2RQ4pCRyo4eYpo2JDM9PfJvItuH424VIsneNHfVxSPX0SAqFOL2SYCeS9CsBsb4XOnot4eNQjngTdUxH6JAgLOEDjZpIRD04SG2D8QneAmuS0PYyssZO4bBCz1cTTeHVFa0i2S66iKwXvPLvRG09hQ/qgzvZJ1VPCujkqJmIUFnBGzfFs7aa+kTbmugbib5HICmwkDldI3Ak79Ga+4/ovjiSOJFcs31hhU9KACEcxI5yYsg5PYecbmt5Wi+nLHcf99qiTHFy1q1ep0Jr6slayzsJrRQnpU8k0Hy70L0Ad3sltFhyp8tacWrtNRzkp0NcTmyycJwcO1H4BuFOEJVwWtUj1laB8cn1gXJyT2f6nJhg6TX3pdprERJE3GkjUY5zgiomeDhO7kkvxEdIlHCn43yOhI9SjlQ9Y92n7JpRsEYinBbrdWl7WftYfe/Y3/JNX3yFm4Ho4jTK6cJD2r5AyvWOXtVyuHI1CdLSSdSl4W2ptvZKxo7xY5A4xFBSR0k9vQ5UhOCKoVhUSoyTEUmKcd3PQxypiBaSuC3h45ASxKUOTYisGY2jTaWc0jUdOZHcK72ixxahi6YiKxSGkxIkEj5aizRk+wMJWSOTy/IkOKwPwW25VFkkJF1aRw6HqH3fIluQ1tZ6y1rqHkXuH8n6YkC3BaW2D5HtwdLyrh2pp0Z8SL2AE831quVw25lTekhLpmpw66REqka3XK4R8+habRs22y70G7xdhl9I5mJzkubYhaOWg5yQ4Tj2RpbgtPaRVU+q304wTsqOcHr1rRSn51yovYcQDnSf7a8n9hJBy0nZEQ5Sz+rm7v+73SMHNC97rKfInOvZtwhnUnOhdr0UWJePtm8L2lK4bdh3uzAksFKQeM0/wpE6tdLjW1muj5pveJe4kT6MfR7ipLgI54Ir8C0c6ZdWbUB95My52iRqNNE6hZyIT4qLJqinOFZgpSB+j3SalxLtlVpbOeRuUdZwJPy3ngtZbZFaL7nnX6cxmtJztqQe6YhW0+1C/wKRHIPQ3yWcUFtSf0txSiZYz7bktnd7cvXmDP0twuHasuT7ruSaY2VSHMm25JZB74mSMn5O0BWO35Zl+DOJMhzHF1il873FfTSlthDVzw9rT82PkI8W/RK693xI9n/1Gor4ANfQK74zOaF6itrb6JlV2pba9iLP7VI0EVlIg3tFr2x7OHsLRXzobUEg8Q1LrC1C13xobWkdibiIfiFtiXCko1+pCJbts5r+zSnLPWBr0XOeHEtUS7qebm0BolFSHLYtB/as6tXeXIiLLC7UJvX6fcvjbLULINrpSD1TaAvCydn2S9YB3OxsWw6t7wTrqH1w5mwfsvVUCKxDheTDd0pzXGptra3j2NZWsbZIrq3IVuQx9Z2QkJLcMhRNfP+4L/zaK+++cWFPCElwUnbLSf3siXu6gPsFeMRPDcc9dRH6xXuXE7O7vFoOUhfKgdrSuH8th/sZHIRjb85YQiVn78lxF5Ka9lqeRPItwkESgbkVaXtiaJYYy+1+zkhwUnYifk1zT05ynF7ra21bLK/2nut5/3PPld7PL4STqitrXjW+V7bO81bifuo1Tm/9+v8t2RYH/RLfa97PI/1W9tZv257SOzlyX1cg9S6sVF0cd5MxTlVvrc94PUKKM9Xti9btuviWWfHNWfrgRHxJu7+gb4G5EePklE1xpV9HM4VXYiA+kDW4269WQPc29nqUFCfn3XBS73mUQs29ksvhyiL3U+v7QLLfu7yMtNfCgExK9J1Tfhnus2JOg5fBcS/nzCnXgiP5biqOLzVOLYQPl4yJclDfEnUhybdsvYVi7cpngenR4kEQ4vufBTneHG+5DiJ15fqWagtyz4Ugcf+HOByvp5Cd0jgVz/OC+4krA3Em9IUjBbHtwo/7wq+9+LcNwaUa35Njw8TcT9JwN9/8fKjmXNSVau+qDyfnpxs4UTRfDdUcZBx6cS7/BFTYh91i4wTNbJXmIH5QDtKW2rrc7byYYLIcTlDNztMcyM9gOYl14nxgF227TRHjudsYHKd2zbK8Xmso0paUH+Tnj6Z0f1tO7RhYDlFd30ztmYneL9w9Z8HeL4CfsfoG3DKMOm0Wyer5xvXa6JXklp7km3w5ey1H6s3qKE/qB0MlOFxd99+uHi8vkfSMciRP6UzlYATCgxJ8Df9tGv22ndyqQLYzkEgauA3U+hcpcjgcD9nGkYo09Xxze6++kXrWiUV3BJ6J6P0iFdXqeS/kQERkuVEsIqL1Tb6hCEf6KGWqHj6ETLS6VT8AiA+Ek7tFE/SxJFoB44BwJABdt9BWmdQ49JoTPRcI6P4F2oxwOOAPueqqxK5J4rqJsHsc4SDjKeED4UztHpcAuk5IvB4DuW6psWJ93DL8F78TniMF6F4ouH99fZOL6u1CtwF+Z4ZOLOVyJE5OteYUXXfgBJU/SThO7BQW5EfHAa4rdCop53Qq6ifGyTklNAWOL4xKOUhd7sMCGcsYr8n9ANyfLTmt7geJvqlpT4v1JPazQK4wKuX44irEaTEOPTkt59YVTun9kPl89TnMtmH77cJWybgIpySBWGLbBEWwfcCbekvKtPrpBKkk7ZaJ3BJ1o/PCRcvE3pKE5l6J0ZJlSttzmV/2mdT9cKWMwBu6azhXyggdxkB8SK0NSF0lHP+zkl8jQTlcmRB6zttWz7gQB3kuc77FXoAtxOFQLbJSDyX7OZpPEutgxE9uXdznqfa4dqTNHJBj7xwnlbvivnQOvfYUZwpjjs4Lv10lHDcHJJYP4nNifkL/jnFqjoHnHCePcVz/SF1oe2Lg/Lifr2+a4JZH9r2XmMecH2ieZtzDHIfLhbvkp+F9nrsmpyDSx5mcGNyXYMeEEMoJ/Tvmp3YOhv4d48SA9l+qPegX1JznQvSavPsh9kUkJ+cTufdKULVd+LFfXLdXed3BnawSBTDMyOm0nphae3rCQLflYQE5qYVAak4c7fw6wrmDYGrjOT/Hola97vWp9c8h4j+/Prpl2Ga7UOT3kYR+QqDXL4xLcta3OrYH6D+oPQJjiv5I6Trx+3QoaiJquRzJ9vT6XU+p3xCF5nvHwy5Ye2T8SM0dsbokTmwCEPsdPaExX9+Uu9c5IJzVLZm6pO71FbC+9/zdyUO8t0pQHMn66FftolgtEszEOV7nTClhsDtn7LGY8Hj1TNhFOX6SbGgRLE22zU3YDfFCC0+rZGV0kWtVl8+TuvaSeYG0Z+z72OdN6V6fIkfiPm7NmXof9uC8/auD0ax2ie+tErbF3godKrdM/42UKS3XUnUjdUn1M8IZMzlXamym9K0tBonkW4nj5TGU9HNpX/SsS6o9EmWCfkZOEJa4/3vek2PXVZJoH0Kr+3/sZ2CrMW25NhMJv4xUKgyd8h/6d5QPhhJjZUP/Hquu3PZA9Qok3Kc4uW1ofe1S/dyTgyTRxvi5fnI5MfTsnxj/0OvKbUPUj2DivThnAvdyz7qk1m2pexmpR+p+R3xIzXkJ1DzPfRRtF9qtQmlsF0SztZAz5rK2y/hWgjSe/bo306986Sd1qUu0DwUAt0cg+bPnmB5qXVK+ppaY33LBbQHJ+7TnPS9WFzB/ut5jh7pudqpL6n7fLInmRzCmgS3DhtuFi/v/cTzUX7e6EguzVbLc4v3s170ZqivFk74uDmhdPcb0oi6mn9GHKOJH66r3gyTL9+JIJjyLcIB7x/Jq/Yjeg9f1fu/ch5LrOFIX90xFsGH6cLO8/1+pD5QneV0Sfcih2W8XurANlOgUuC5GQEnACqeUgEJFGIecPqzt5xwOWleMB9W1vPz/KU6KlxOOPqS6ELQIxddsKUptg+aeEJTaCoyWBeZ8jJ8LtC7kXuX8NKmrcpsPuX/Yujr2IcqRWutzgNSFiiQOiBCTqqtnH8ZQLLJC6i7096ic5dW/Q5/lcp79ujdfEU8hMcVxpK49Vm5KdYV8cOMV+swfn5K9/Fi5Es4U6uL6o1VdRHwCbSgShb45myvnCyz0ukrHhysTgsR9WBoZk7znm9XVaI6HPiuNQpauiVJr8pTqCkWrQn+34kxNYyDIFlkf/aqv7aLmEQ6k+AW+7bg2JGoVEmE5kIoS9awrZyyR8fL/nQt33GvHnuNIRUok6xL5lg/Wxb0BO8Qt5VhbKoIlPQZwpLH1vSF8H6Kc5nU1iNZC90ZF+9H1VyJa0rsuxI9UxAnxswHGq7cmyclLz058/22vrk963y75hEZ7I/RIfETreu5Xymz9ERG996+kE+G3J/F3z4hzwPE4Rg4C1I9EfehcHBZEpjKpc9gvKJwfpK7eHA7b5UCzVfrlp6Kcc4ZzsltCOR6H7UnHuiY470XXhl7rqxBnWBIZbl0Q4iBA6yKSqY9LvrcnVyX6GsHPvfZS8rtc4nvquL6NGkh9k+TKQ+FfsD0cJAUWEdFzvyqRCC/87hpuzFg/Gd/o0W/9aJ2lHDSSIzVfS7fbSoCIjGGB8Th/aF0op0ddFttlfFW2thQH8XPBOUnUlbD5PISL+kv6mOi8r10/staY1LqIrJ0AR6ouiwG4vhTH2jg/w7K+LhRIXcOSRF4RlfMLM8iYIcgSWb/1b8hEsUL/jnGmUJe0wEqh6zuqOo4F6nPK82MKHFdkxARHLicGqbpyUdNmIkwU5fqJ+bzEqRBI7ufNOROb07mQ2kqXROu12hUhMUGCcGL8FnW1aDOC1mNhgeqhomXRD7elkg5t2Lb0W4gf+m1dl+untbh67le9+dK2YeytyZf6muGkJpjEmKHjMdaYIRykvtRCzrU5t49QPyGR4W/5xTjuFlwNR6ouxI/LQRASQvYzu+WHcFK8lB8iurKdFxI6uZyUoEL8EN3fOmx5vyJbfr3rYv0Etphib6pvsg5H6nLrC4kPf6uuhkN0n9faj8sJAfFTOmacn9SvFnBjn0L56UIb4qwM4UptReXUhaBX9Oq5X/VmODRZG76UHjOkfK8xk9iS6FkXWp/l1G6lSW3pSdVleRJbmgi2ywGOcCHbjMnye2FTu/WXUx7i6n0W5whv/UnVVbv1Z7fiaqNEaPmcepBrS0FqS1d6zHzAIisUGpP6Lbr1rboFIpcjkWfQG11/hwwcM4l+XN/Exl5iTNCx71UXEXb9knlRHA/xs7mBtVli+xD1I7FFiAoxaM4yokcy/wrhoGvsdb7PuLVxewL2Y8e1WmqLDc2L2iDrFeBHKt8L6aOWY4ZsGZZtFzoLUeoEi3vzx3juNzGOk/TjtilyGgjhfMhX9Mu/cuv85b8eP22Yc23ItRPx44FwpMYsdYJLalwRXs+6fA7iZx7px81JP87Uxsx9eCJbRyleDsff9mpZVy3nglt5v6I8jtPqHuI4UnNWcu4jvJr7FeVZTspPz3t/amOfw/NR/7M6QAJmbtlsjjdpU3kXKYwhsLi6cx/ENd/o/b5O5XhU+wHGjCuT4ye3X2pOnUmNmf/5JtCPoc84IH5CnOmPGfZ5Kscnxz/ip7QupAxSl/+5VHJ+btkoHxz70jW9xE/reY3ALYvc4zFObtkYX2o8kDJS4yHJqRnL/Fc4hDql4OEsxhG6IaYAX2i1vNmRvubKoOV8nkRuTE65pv3YiIMAFV0lQqwUPR+GoS0gVHhwnJ4pA2j9YuJsxPU63EYZcVKyrtSsRT1FXonQKl0LStYLtH/G7scx1mv4ZaTP/6q/AztNYXZu2BsP5jAXOlvxHCKiD331j7Gcnvil176Q5aDXxvqRHA+BMesNsX4E/Ehx5udGRDihfuZC4yZ1/YjYmK14HsJBgPrpWR/EEbqvERzqvd+Tg0Dq3kfBvQCU6DDXUKk2ExG94698MZHky0hrgSQg9uRMDe/6al5gERGtgeRjyM+RjodkQiwCJCFUioMkciJA/fSsD6oLSIfoOR9RP+sbItVBfiDOxPpIKhkeBdIm5JCHFAcBOh5Sh056rqFizxmgr6WenwhgkcX9bpD7X4kP10+Ke4lT8doHe0Nvl0Tv+luYsGkNK7BS/ZjTR+h4SHK43/rixoxbaF1OzRFxt3yM7x5/rjlK7ZZH/XAv70OPbSN+kHan3vuT84ZksePWCaHlJrvWctz/OD9RTsd7Fv3tuax7tnLtd+99KG8MWLMl1pFUXe6pVuR1JRIc9z/OT4rD1YfU5YIbjxTH5SHjj45Z1A8wr31uzCahaYgyI1nIr3THypX8oDHyK+HBcgV5GWMLLTSC5aPkl9Rjn0n5Zv00zJMpGfsQL/UyvdRnpUeTS8q1bGMIpcecS8pBfgJCq1U+HloOgdQ9W/qDty3v/dI1+4qfia0RqRfmpjglfkp9I/WV1j+18QiWK9AViBiL+Ubry098z2wQ+gvuUjdjzTelsRATWFJ9xPnNqSu3DVE/Qqew0G/AuX4RTOEnJyTfk5PrV0p0IT+DgaD3STWorob3rP95T04NWq3ZUicwEaA//YSKmhKgQiy3vhg/d62V4qR4HEqea6WiKwY48f3DXyeT+H4IeN6X90uEL41gKdpgWMbfp6KYLraLieVfDtd7Dg3LgcwB3kdIordighhx3N75pQ0S31P5Bzkcy+vhB+X0FFhERM97FV+f1PtphuVAA9MHnD3HD+qrhx+Ug0ByPrLzHxQPHG+7GCBfkhykTRJ+1jf4Xx8g4r8No4nXEAe8Z5E3wyPgeFO8jyTbI7Wu9XpTP+yn51oj9Gqd3s/sLThurB/wfsw9bVt1urD2xV1I8iniUyrRtbfAQoD8NhnCyVnQ0EU0xqstn8uVurZBaB7lzOsUrLhAxUqtQEL85HCQdtSKSPSUEJJY63NL/VxwOv0uYc7vF6aQc4/04PjcXFspt+ZlrC6v+rcre641oJ+e9eVwknVl3h+14+8ja7swdkHcr9e34tT48v1MQWD5W4ehQXV/piI26P5PWYQWFz+UH1uAXF5LPyUcpE01flrNNXhuB4TFbG2S9hKOVF2SbUI4MYHl/rxMTAzlcmp8+fcjct+WcpB7n6jvfdST4/NqOMi4lazHyLh1X2sYX62f2aLPfoH7KIcjtl3YRXFmcmp8up9PQWARXd46rPlW6pZFok013yZRPy2iVjWRNMRP7lyLAfVziVeRY5Qb0YrxpfzU+IzZUhEssS0/gcRrosv3Y4ufpomVrb2PEOTej605nC2Hi4xb7ngifrqvNUL11dTV5NlfG0nM2EVKQexlpFL7uQhHMt9riqgdeGuXyolCfEhsEeb46HVtObkMtV8yLriV23XWLiF6eudfIcjdIqzhSOVpSedo1S78FhJbej3vx95rjWQOFlRX77WmMnhi7b2ex9B6LPhFRuLXDoQOkxINJwOZxC94ExFtbm2JiJI8hDPsLzzp5+beT+KEy7AcaDMxoXVx/ZF2u23mrm2gq2HoUF0pzvZkIDoZeA7jB6lvuxyIlvzpPnuTpXh2/NlfVWfqQ+pyb/zUL71vgWtb32T6yFn0a8eEq8utL8nZCwx/e83n7K6/joPi/v0f/x6JcIalnJ/Nsr4u6yfFs5zZefo79ObWhojivO3Jlmj/Go2Ur+3JluVwde3aPbCnEgdg7SMi2jLrP1IXWh+3Zls/G/TamGffhnn+WU7t8xip61K7gfVYrI8E/HAcy6s9JQtHsoaEorM2hFNaR4gD8YHQ8zu+/hNZPz3gtkMqhA+FpyuUP+on5xtBbZi7RQi7ewhfaMsI4VRthQhtqaEc6MWRe7EiyanxKeUHgVvWip8QXFuKxwHxg3CmuF3YMzXhEqfi3kefj7nP0aifBtdf46fGZ8xWO9fgxPcP/Ya/fb+Qo2pDA8TZc3jZnMhFI4mOz//CH4+2tSVSIq9FEmdNoh/Cy/WTEh45CZFSfnpwXF5NAifKa8IRSipPCSeUR5QWJ27UJ8Y7RA7KsxGklKByo0wxXgtO6kFl17aatQ/xg/jKrSvFgzhCz0eXJ+WHiL+2Ln0kxEF4MfsvfcGXELX6gejYYKDKGImAIT4v/FSq0qlEtFzkqGk0iZPj9Drq2iK6xXF6vJ5B7JhzgyP8UometdGmnFcq5PBisOKjNpKE+MnhIO3guDnXloIVREgETIojFW1AUJvLlVu++toydohqolE5fpBnLVSf0HMtp497jb+PokjWZFE37hfoGdGaorDrCqExk8JsZSZ7IGIymODbzGsFhkIWs/MZtA1pJjiXFAx0ebwELpJVlPg+OKeAzDrs23Ji9lw/MKciaW6M7cLnf+GPJ4WWq55TSZy9OAivyE8i+RLlIIclkn6W/KGC3GvryUnxZDm2vyOJ187DtYaD8Iabm/t/pBJUXeEc40lx3FOSsfVPiuPyenJSvMVA28WG5RARDTRUHQZwxXUNh4hoWDi8dWCuMfYcXk+OyxPzI3CAA+WkeFIawuXV+vGRvV04AMesXU6M73+O+IX8VCZNjoGYuPPbKdXukB+0rtw2oH5CYWqpgxD+57Wh9Qs/FXOtBacGJXNtACIVIY7/WcwP4v8SYm32Pw/xkH5EOP46JvWbijE/7uc9OTW4sma3OzDgfxata5E312J8//MQL7cutA1om3L9hj6vGbNcTorHAdUZiGZB/ISQJbJCjtEG5V5EiAeXK3hgjJX0Xls/cq3oZ1K+S/xcKSMgutAyoTaV9mNpHkbL8ZAS66XCq0SMQeLMjWJZIIKKK1NTDgEixJDPkPUQ9V1Sl1QbA5ASVUg5RIQgYknKT6lvpL6W9YuNByioivWBp0VKRRVaH5yT9cg/fB3kkK1wbdjGiXFWBnowfOSf+wmW0wvv+PpPhNqMXpuEn54cKXCnaVzede1H1I9YfeczVnDBnJDAcrEyvAhCOAhWBhMTa5An4acnBwHgx24J9cqvM6sZKx7Muh8HAepHoj67bche22omMmaIn92Y9dEPKN79Z76UqNXpwhIMN5jFUZLDLcQTBBrRkrq2ruMBcKQwnAxY5EuqHwE/YpwbQtsNoB+x+jr2kRHiIED99KwPqgu5H6XuWWR9WG67HmAYbq4nxUGArqESgm5YbLEI1iGuoR21AZ74br9dxpJU3ZsjlsxmOcvtpDg//02/k4iIPvKVPxXmdcSuLfu2h9rt9jNy/TE/RET2BlpsiWLJjrkcojgP9WMR4iEcn8f5qe3HFnM2Vp/99rUYsIRpojDP9cNxUvUhdfn1SXASMDapdrmlIdLXORyLEO/Cj30lQWB9NG7y/smW5cT8uDzET4xDRPJzlqhuXuf4SfEQTojnwx2Pk238uWd5UhyixDN2uPz/oYMXuYc3ED8op7Qul7cceM5UxgPMGc2PZIUc+xM2NIF7crgyaLnOsGLvAlLXFuL4YgX55hPioN+YXF5JmRyUXNvYc7ZkPpbmybRE7xwgD74w8v9GyqDlpOALrJzPSnxPbl6XrOmIH4SH9mmIh5T1OYif4JgVCJqeuYZoXVJtKu3HVpwE6rcLYxO7VCBIcApv9isipyOidedef83DAREnJWIM8SMl8mJ+cgVbzdyUGjP/cykBVZqw3CrxWug0W0wYIcKrRIwF/XiLb0uxhNR15fOe8xoBWldLAYc8VLkypX4Q/zXCKLds6xO6SJmSwyulY4ZyKsYST3z/lr8VsRTXfR+r2eQiSz23DruLO4kxW8/KI00t/BwqkLk/tRc2SiVDC6Jn5GlYzbrWJ4HhfHprbFdIPWPOZ3XiKRdTu/elDov0ROMxe/fnfzmRROL73tHlwks+eWx2AnBurXgO4Af9NsrxpriAlm57FHGQNzXfXLM8yM8NPiEUGTME6Nj3qoto148sB5n7IIfjQX6A5Nue/Ti/uaaZQF2z5RbyMwfGjPOD1iXFmd/i2zw/2dJc4GGE+EGvnwPcj1JjBvRjz3FFnosIZicb1tdsuQH7EfCDaAcpDqIvCusK6aIr5VgGUyEkohIca6vlWKQW5JxF/x3f+jtgbg3e8a2/g32QuEm6HCcFP0k3yU1wcspDXIExy3moo9tKLetC67s/ZnVCK6c8xJ3ImCGChyjvoZ7i5Twcax+k0nWlhA8qrnKEWIyXMw7Xfcwknp2IgGLbAYiQHB7HzRE9iJ8edcUAbxcSEdktw1hF2/P5/UZFBtXlxHi5fmILsH8aKMRzOTE/z/+8nw5+XouQkMttc4zj84J+vFMTIUGEcHwexGk8ZrkcpK5JcLz7JySImnEazkWEEzrdFxJZW4cXe5DlcmK8Q+RsvHs6JIZacaTGo/TapepC68vlROvKfG6KcgLP++2qH8fnlXJa1OVEsmTek4WExji4gxoTUFIhUHehrole9IpqEeW3uWZLxj/uzXGkgEZBaiNOOe2o6euuHOfeiEWccjkxXPLTeC7GfKY+j0WxJLahfD8xnwgnxm9RF8JxxVAs2tSC02JcYp/XRpt6t4n1n/ncrNlhuuQnIjLcz1tzctGrLlQPZW8XJsNuGaHJ6vDlvp5eOTbSQivlTzr/KilqhLb+cjgIavsAuXZrl+hvqXxABFL5V4i/2q1DnyO1fVqbFyW1PZRTF+JDqj0c0G0/joP66L3tJ1VXjzkktX2IcNDUm9mJXN4U4gPN46qtD70mrq6sbVGYucecOQk2X2xZzvLmCuIsb/IJawvgYjkOWtcvfufHVXPe9R0fT+/6jo9nr38BJIQvbqyTfuaLLcshIloAD6zFTcyPWF3MgoNyOMyXW9YPklg9W27ZBz/yEJ3fXEN+5lAyJ1PXrRXrB62L9XOyEeEgdRERndw8p8Uy3Y8oR6Ku5Y0VLW+k2z1f8GvZ8saK5aF1cX5ObvJ1zRcbOmHWzvliw67BJzdXrJ/Fkq8L4dj6UpgvNlAfchwigv2k+nq+2NASmIscx/pBxrW6ruWuLoTHAeFg834LcRCdgyJbZP3CH3s1VEEPjrWlbmBrqxVj1pYSUdb2i9/5cZAgi8FeF3LtHK9XXTljmRI1ro0TP8m6lvfrQvwgnNZbRpJ1SXzLvlSX0MEUqW/iZOK5pJzgyeWkuK4txkMeWJbDPWg5nzl1oZzWdbnrLrJO1/rJeSYg146MGdIPSBt61HXhJ9E/1oaIn2R9gB+I01mT/MIfezXLs8hKfLf4iO9+7cW/N85PlsQa2JOzdpLWYjeRFOfDPuetF/+OiSqX867v+PggZ2p92IIT422cpM+Y0MnlxHi5fqQSXlsn17q8LnUxB1OkDsBAvpz3CMVEznp1+dfDEF6Iw9lDdcUeeJv1HOYgPqTqinEk6+LW1rWXoNxyHffratmHB8tx+igmdEbjjPScC4iscX8gOjdaUgPkW0rNtyUXbuSK49Qipw9r+zkrKlUbAcuIMtVGwHLqQnNDkCgQ56e2LgS5Ea2a/JDcaFVVdCsR0bJAok0xPvJ5jCMV6UHKSkU4ekZuYutwi4gUUlfrPkQ5OVHNmvkDt0coauX761JX5fNSAvgPREeANlCCh/pARZSEEENFVCyKRSTfhxJ+pDgIT2o7D+GhdSHxXSRPq9aHdF1+tKrIT4dtwRwOmYEWzMNGeguR4wzAm7ol8mLmi82VKNPU60JFkR9lKvElWZdUH0qh65gy/YjmVW2QfkbqYu6v+WJ7ZSclxquxIyjaLiS6vGVoJ3JqorqTPcbL4SB1SbVHsq7VeVjXLk/WSXsuJ8WTvq4p9rNEXasEZ9mRYwXEOrEYjsFJ8Xq258aNXWJt67FYuvcx4Oc8cZ+e7O/THpyec3WMfpaq6/w87ufkZNOFM9a1H2RdzLO0luPyXE4kH6vPduFiyZ8iqfUf+neL9vSsyx1w99+5nFzUhOt7JquOVdcywll25LiChovWpDiIn1wO0obW7bECi6j9WMT4sc9PIvep+znCiQHx03OutujnGHrWdXKyCf67hlODXte+XG6y74WudQk9B4P1nKzF/FeLrJL98FAZhIPULdWeVnUhA1fK8T8LcaSuHeEcWl2hMjUP3BacEHwBUiLGkDKlQOqSao/fh6E+RThS8MVPrnhCy4Qw9twt6eeS8UPbw3FCIggRRiWcUJkxr11qjEevC3gGIhyuTA6KtwuJdluGqYfZejVnH3Yohyj94JSsqxdndb5gB0+Sw/UfES9OJK4dHU+kPRyk6rLh69oHMuLHclJCY72es0IE5fSsS4rjRrBCWK3m7Fj14titPE4snZ8vqjm2LmR+9ZzLHEdC6Eq15/x8zgonlEOUFmHn59OZp4fIsdt4PZ6jq/NF6tUN0e3CKpH1Ud//FUhZRQTLxYZWQNKhBJBE3JPlms5X1WchxLBcrmk1ofb0BHZbHhaWy00y1yLHjwROFms6Xx/f/ELu9WPE1MYTbU+ve/10uaZ713Q9lcLP/ZHXxExtcrL+y8v/Oss5ZU7jnC7XLAfxg3CWiw0tubclgxwECK9Xe06A/kN4iB/EB9oeDktuzJdrEQ5Sl2R7uIgGuu2E+JGoCxU+HE9SQNXYc3hIXRIctK7TZfqN1qfLFcThgHI4nsR1o0DHorY9kvNL4hkq9YwlIjphnjcni40Yp7YtknUlBFYSVZEsIqKP+3/+GhFRUCH7g1bCCQ18aV2uGAlFkEJixeeVcGLRqtz2SHFC0Spf9IzJCYkQP6KFcHxeLCrGcUrag/hBOKFTY77oacUJiauQH18YhaJVyOkizg8iwPyHViyS4PJCHMRP6AHp80r8SHHurZZXOL7gKeGERBPnJ2Qnyh+HEG/q44CNVZvnp8+JRbI4PyERcu49a3yObw/xQhzEj1R7cjhv/YN/84rNQfvThb2iUSFOqIz/mS80kAhRqFwJQj5C7cn1g/gNoSQaFSrTihMCEkXiyoR8hDi5dSF+0XI+kCToVhykPS2TmXOjWqGHLfJZSeSiNNqB+JHi+CiNTiHlfL5fJuSj5Bo4HyhnzHEojV4hz72SMmgEK4XSiBL3N8opbY8Eh0N1JIvofjTL4t5qwQ6cFAfBlslRWK3nrDixEaJa0YXWJcHhYCNInMg5Xy3Etve4ejjhsTpADgfEh0RSNAq0LonEVg45Pmq3lM7XC9aHFKdne+6tltlCqcQHyunVx1LjwAFtC1H9HO35bOVy+2zUhxMi5+u5iFjhgNRTymGiWEStEt9duEILSbDrmYTHiSwiohsnK3r6PBzSzuFwmFrfTKk9p8s13e103WdAXaeLDd1jDiYgHA4SPiSBXjfXf0gfS0HiYXpjuaanmfYinJ7XjUCiPYgPlFO7hqKQWK8RTGkNlWwPJ7LOTlZ0l+lfhNMTJX0DCCyiMX67UGJrEE3o4zg3TlZ04yT+DStlywXiayp9Y20Ih4PUVvAZwzlbrkU4XF2n+28yp4lvPSlbLo/jnC42EAepp7Y91pbqP6T/ER4ylg/duEs3uDUAbE+KZ20pDjrvaucn6keiHoRnbbVzglurczgcJJPBJdbZKSW4S+wgne3H4CwxFmcnq6TdtmVKfZMLsUgW0f1olkQyewkHSQwMfbMJ3ZA+z+cgfkKcKfdNq4MJJfUQ0ZVvxaFFmuOEvlkjHF9k+JGdkAiR4IQiSBIcpC2ldUmME8IJjdNDN+5e+tuPMoUEkQQnFM0qmXshntQc5jg9x8nncOtrSw7ReOtarzVWqr2hKJQvinxOSDSV+Am1p3ffgFEsojEiWS56qWuJqFasDPcZwilNOnQ5pf005sGEkF0iqoXw/c8QTkiQ5EZ/SqNF/mcSbUE5pe2RGCeE43/mCywiLGKFRrVSfP+z0rnHlUE5JfOc892yLcgaLLFO+5haNGhKz4QQxxdCIQHFRaJCfKnoFYexolcuxEVWrMHSHVIbnuUgtQhIbkWmkBtSRcZJYiylxim24Oc8CJCtDIntwRRaCKTW7UK2Ti16jVNIYFkg23o+F/08xJHYNk1BQviUcGp8IGNp18aadTSnrNRaJLF2Sm2BSQFag4G+zhVcobKtxwnhSPa76HYhEdGn/qsvoacj70SRxNliTXeZt+lKcaTa8hTTLzeXK5bDAfGBcKbWd73aws3dG8tVNw6H08Wa7jHXLMWRagsRJXk5flLg+vfG/hScxDhxi6PUPSmxPvS836a2PkxlbZVafzkc4jj2WDcR3Fiu6Ec/42/nFOm3Xcg17GyxpjNmkUQ4lsfZEE6vttxMHG9O2VwOyqvhTLHverXlBtB3KU5teZeD8FKCw9oQTk09ub4OBVJjSYTd+73WB6l7UqKOqawPEmur1DgeWt9JtkVibeV4CCdTYCXRJCcLuQhUbHGQ4EgJP/Rm5uxSnNq2IOg1Rj3bgj44a31IcSTETa1Y4/zklK0VhbbPavo3p2ztQ5WD1L18aPdhr7b0Wislxqjns2pKbZFYK6UEWC7EtwuJdluGLmx4L9aZbhixJadXPSjHhoxjN58bUu7JOYS+s5yWPojuz93Ujcdx3PB2iMPZfU5MaLjbbBKcXvXUcixK+1+Sc6z3dOoekeD0uud79b/E+BBNc71szel5v8bW7oJIVt/ThX4DpxLVmtK3ACIsqoX6qA1jW8TanXPNtSHqnDol2pJCj6gW+g2LSG57sCb6JR2Var0ViUS2JKJfCKTuV/SellrPOEwhepWz5kqtlzFOTtle6+Wh7Qz1jF65kNwqJGoUybLwI1o3Fit6anUS5d9cnhMRiXBSdiKis8WK7q7jCXScXZIjAeR6iAji1PYtx0F83Fis6Gmm3xCOBLh6buz7TYKDXPOdRN/dWp4n7ZIciSRUiQT133LjqR2nsm85SM1JCY7UXCEiEQ43VzgcYt9KrQmt+xbBsfZtblsqBNY478kKNdiKpBQQjoQPKypSdoTD2TgOVw/SDq6eHA4HiTG8uTyPcuwNciPR1pTN5XA8hJNTXylyrvkW07ecneMg5SWT92s4VmAlywrNlRxfrcq7dom5kkLtPHLb0rNvYxx0PahpAwrEB9r/3L3McSTW20Pr2xBHOoJl0eVlpD5aP6RzOKWiwy3XSwC1FFFuuVifuZ/XcHJQenO7n6UWXQkOh1wfpQuw+1lsUc156Ma4ruBBEsdrOLXoOQ9y5kdpPS3mT6kQQ3xI9K3UA5zDlNYMCYGLCuAcjsQaGLMfkpDLQdPtQgu7bRi6OHfbKPZQtpzUQ5vjuPXEhIi7lcZxWvqQrifGQXxI9z3Cid0Ebmg3xOHsLqe0jhacUjvR/a2G2ILqbjVIcFokmZb4IIpHsXrPg7HnCcLpPU9SbanttyndowiHq0e671Pi6uI+vibzHp1LAlGscX9WJ3UBaESKg4QPdHsP8dGag7SV84WUlYw6pnjWVvNNRGorhvvGhITXc9pUUxb9NotsD9ZsLUklqXI8a0ttE6Lj02v8JOZS67bmRE64udQ64pBTluv7ntGRGEeq71FfUuskZ2tdT46PFKfVNqFFl0gWEdFLfvSLal2IYDtEBadiAhgOZHyeXi+7h53Hxjb+Za0rrlu/Twl3Vifsg1zX2OlCx+Yq3vCpXyfhJtqx3UQWEdHL3/Tn6al14tTZYn9yMMKx9hiHs7ucJ1en0XbcXt5LcqxdihOzS15vTb8jHIm2WPudSH/ccvqU48TsUhz3QR86wcLZXU7NKZkx6rkTGL9bzviH7C4nZkc4bj0x0Xd7sb+v1ol7nOFYe4zD2Ymmc19J1NNrbUU4kmvr2P0u0RaJsen1TEM4PZ973//J3xi1Z2Lc7UKL7//kb7zUQTEgnFoft5f3Lk2aGk4tJHxw13tzcR7kuJ/FfCCcHHA+bgH9wXFuLe8FOe5nMR8IRxJSCbRconTLRF0Orji6FRl/hMPBFT/uv3M5tZC4r3LXSqSeVnDriK1n7uchjtR6y3Gk17Ca8UXW7VpI+JB6VvYemxRHUGAlMc7pQoHJhfpAxFbqbwQlC0NuvSV9VrJwl0zyknpbCK0SQVRSxhciY52KKRFEJT58DieAEIFUwvH/nnkBdkQwSXB8O+Izd/5L+ZBaR3Pr9dFjjUQ4LdYqpB7Enltvydgh/ZxrR8pIPd966AZpdN0utHj5m/78pb+fWp8kL9yG/DhObec9uTplJwPHQexE6UlnObHr6dUfiA9k7GrH1m7ZpQTRndVplR3BndUpK0q4XC3ETlR3okaiHQjnzvqEFUscB7ETpUWZ3TZMiZ0n16dVdtTHFO4XifVB4t5HMIX1lGg6/VE7/sjYo31WY0c5XI5YK23QIIo1jZwsF77QUlzGdUpQlFicemE7jBL8VTCYyvyZyuEAxX08ueLFr2IcjPGca7RNOD2RRXRZaEkks/VImOuRyOhyWiYhIj5u7iMZT0USolH7sflo1efYmLRP2j0UHx9w9uTFv0sT7iWS9l0fT0QS4R/YR8E4e42PW3PnWjaBAwqM3eVw9kPy0bLP2TERnl9j+sipB7pXAmvcA84aGLK7HM7ucxrmYU0j8d1H7ILHSgbMSfCWSlrMzRkr4cgk1qe3ljh7jON+dkg+QpDoZw4ShxByfdTeK1LtKIFEMj3nA/HrPswfKEy2l/CRA1fElJYL+UD8SvsI9RfShxxHYhx65DhK+aitp/QedPEAs87G7L0S3X1Mdu+jV2K8tI8WSZM9Eg9Ddl9stBJauXVK+MiF76NHIi8y7hLzryThNtdnCx8+pvIw8h+8JQ/zEh+c8PDtJeIF8ZGLXJ9IuzkfLQRWiJ8730pESA8fPQTYA8t7xQIKtY+BUbcLXXzuj78yauuVyMmhR3IkZ+eSFqWSGonS4uSp9ZK1p3xwdrQOTkBJ+ODQK3m3dUKslI8e96G7TViC1gn5duso9aDmOKiPlKCw22gcp8aOQKKOWh9S/Y2Macu5hRwGqZ3fEj6QOp5YnSaFEWInSourf/wJ35xsgxCmmZPl4uVv+vPXIjnxUJK8dw91fbP2lFCbJHooc4+DxJbDFMA9sBFcpwMyh4An1qcHMT8RAXQMeGJ12mubcJo5WS4kOuJBZsFC7BznNpdDxdg/8OzJah+3F+ciPlJ41o0n6MHl3SSn1i6BW8x4cXYJH4hdwscDTH9y9g+68ThbvraOHjkZEpjCmD/rLD0ePeaExJjzc0Iib6lDDprAmHNj+sCC6UvAXuvj1vycPvA0HQku2bLNsUv54DBWHpaLyUSyLL7gLZ9LRESPB05quAKotT3GccXJk4HTE7548Tmcfap1PL46u/S3L6B8u8/h7KV1uAvfncB41dp71JFjJyJ6ItAP7oOu1h7icPZdO+/PGe6nd0Iczh7iXLVf7iu/Pzm7z0HGo3UdU5gTJXa/nT36YQrj/cQ60FeO8OHsIQ5nR+rwRYt/IpOz+5za06ut6rD2b3jBtwfrb4TpR7IsbMe0jkohUSskqiUdUQr93aMOafgCqUVUK/fbbck31R515NbXOvJQ4qM2cTaE/OTb/GiHXyb375I2HMsc4fgS11HDL/HZog5fIHF/c+VDds6nRGSqtQ+pOoi6C6wkJhfJsrARLYvH16dJ0dPabjkpQfLk+qSpvUcdSBseX50lRVNru+WkFsQ769PmdqL4oszZJdpgowexB2Jru8spTdKVSPK1KB0LqbEcuw1PrM7YsULGsnY+jHlf9qgDacMT67OkOGptt5yWBx4QO1HbQxch+0gCa/qJ7yH4QmsKGPuNzhIiqTUkRBSHDZPwK7FQtsYU2lj7YCZq/xZ8JElXx1JmLGvBJeJPoZ+m0AYOEiLrOv46xYgRrMPZLnThd1iPMDvHkQjt1thvL87p1jzeRs5ORM3tD589luQ8uLxbXceDTD89fPZYlR2p4zbTRs7+QafpJFnOLtGG2n7i/D+4eJoeXDzNcmra8OyzR5P2hxj/Dy2ehjgp1I5l7TgStR/LKbRR4p5MrfG35/eajxViTz0HODtSR+09ydnH2Daf0hahi0mLLKKw0Iqd3LHfQErtfh0xcCc8Wtqt+Lg1v5cUImPb3bbGPi+1Wzy4uJtcdGvs9vOY3S5iscWMs/u8EnttG6SugVtwkbIxH5zdCqyYCLKfcyIpBa7sFMZBap7VtjF1P7W6V3PbyNlT/rkx6GVPXUPKB/elp9aOPltvLe5FDxmgdhdTFVhEByCyiO53IHeqw0ftMespi62LNo4ctULsrcUct/i2tvf4Ztujjly7+1lo4XU/qxFiLeEKqJCY4uxTGJcptCGFHvdfS3FjOVO3H4K4SiHXbvXAlAUW0YGILKJ4R0qfYJkiXKF1ZxNQ9xMQUhxa13FoQiv3b/8zzi7Rxlx77hZD7d/+NqEvgnL/9oFGsHrac+dAyTyTtE/tvsu196ijxP6k8xxArmHqKH2OT11gEU088T2EL3jL545+qix5wqfDqZKU4LizOYVEzyGDu8bH12fJxVnCnlrYntycHrV9bNyewBenTSKpeOzxGds+9v13DKgfgxvJLz0S9rGfwxMTWId5ujCG177tZfTY5sbYzRgN1/2nNG7P7136JjeG/fHAy/4sHlzcHdV+e3GPnoy8WPUYMHWRVYuHFk/RY+ubxfYH5nfpiU18fhyD/bH19V3/p4DNiJtgD82fpld/zA+MVn8Eh3m6MAaugx+YMyf4OthTnFo7dxqqhz2FHiH8Q0fzbZTUCSr2JbvTtnO4zdyfre0PLZ4qtteUJapfu44BtdvANfYpJce3sFtOCg/Nmf6rtE9QYCVxkJEsF7GolruYhL4VtbT7C1lru/+tzl8Eauyhb4yc3b0JQxGhKdv9BYSz+xElX/z0trsCJRTNkrSHOL3tl2zeffGkd99I20PRJFcESdt9geXbe687Nfbcsj6nZF1qbZdcV6ZsDz1vXWHUyj5xcXVckSwfD82fTqpfichSCtKLU279Lb+Z1Ua9kG9OKUjbpRN/x064T9l7R5SmFuFqHbHyURuFqolwTSF6n2PPjai1XAOPbY3j7LUCzEfq2cs9m2vth4CDj2RZvPZtL7v0d+rN7E9szpI3bUu7FVg19lTdj61vJBeEHvbYTWlv3hr7oSb82ohTjZ1NBk6IkCfXp1X2GiB1E8VFFNK2mCCy0aiUYHpyc5YtqFA8tr6ZFEgS9rHWmrHtqbXIRppq7KXrHNG4a1HrdfaxzY2k8Km1+5h4BMviuBLfY8gRWq3BLRBT9S2BmqTgMU+2ta6bE0q1GPsnn8ZCK4F0CKj56ZTW68iY6xQnkmrR8uADh5br1NROFh+IwCI69u3CGFom4HFlaxeX1IPjgfndqq2O3tsoOWBD0w23TR4+eazpQ+E5p48m7TVtf2B+t2q+1tprcJuZz9x8e2CW6JfZ3aS9FpzvGjvXds73Q/P0vfLck/8vaa/B7fldevjk0aSdK19jbymwxjz4sFv742tk/XMnvf5KptXk2g8VRxXJcmGjWpeSJTMT7mqT9dyb0U+ide0hG1ce9V1il/TdMvk3VBZNri057OByWh6WqPEde7VJzVxuOc9r59rDy0cv/v3ENtAvjhBJ2WvKhuw1ZXPb9tgmcA85Asu3p2yIvWbd4uxTWbek17XaAxE1a4fLGfMQGFr2gKJXLq5nJIvo8sDmflt3Hyi1CXrcN/Xc6JC7CLT8VlgbZeC+mdWgJqpVctjB/az2W1erb4QlEaecMj7XH//U370jpDlRJJ+b+3dNO3LL1ESwuOgWB248W64lbSPo5XU/tHiq22s5Uu8Pi5UtXWtyD4zVHOjKva5DwtGKrJga9sVQ6Fs7uu3CRQR8tBY76Lc8ru7YN1SkbAjcAtRygeLQSuxInqbiBJ8Pfw5yf6cgvU2YMw85AedGsYjSosmH9BZijejKEXAhmyucckWUz0+Vn3KKwpTEnRuJyl2/3LK9T8VzNlcI5bbLLxsrf6BRrCSOdrvQxWvf9rLiyEPNSYnHNjdGO9WU8s2duJrqaauak1Ycak+M1pySatUu+yUgNT9rRFRqfnNziJufXFlfYLl4YnsWFSopW21ZDpxvorjA4up+bHOzOErFlX1sc7PJOHNoPYfGWOOsiErZxzowNeYadwTi6nqcLkzh637u949W9+aanvoaAzWnrRR5uD2/O8rPW7VMZE/WO0//3MuxYsyfULluuI7r1xf9tv937CZI4PrmZFlwA/lA8mWmT7P2FJ6R+JaYsnH22tNHY518at3uGGryUR6aP1W8lVK7XZFCje+W7SKqf0lhCVpur4xVN1d2tHbNnqYHZuWR0NKyXLmUnWtzq7K19ofmd+ih+Z14Wfa0e/nzq+Wz8UgEVhLXJpLlIhTVcifDE963c3+ipOy+zbc/Gjit4wop3+6LLN+OnnDi7LUnnHqfvkq1i+jqN8KaE1XoaSuiaZ30zPmZmOrTVokTiZw9t2xIZKdyQHy75M/B1Npb1i3Z7tC65YqCJ7b+GMVtiD0EW6bEX8u2ptqVUzcR0WObW5f+doWVb5N8LuXaa+s+QnGlkSwXNVEtzs4p+9zIVWhxi9adIapCZXPtrv/c6JNftrRtyHuQuOTenORfLhqWG/3J4eec5Muta8yTXbXv6Brz/TvSycUpe81hipqDF0F7RkQn9++QvxgHiS7liJxQ+VRZychXSmBx4ETQlbobRqc0enUZ1zKS5ePrfu73RyeGnbwpe2pSpexWQMWEF2pvlUxbm6hbakfEG9L27TBjE3qJwsIpZXPtrQ4X1B5caG1PtZ07DEJUnoz/2ObGxbjXJPGmyo/9s1m19lZtv7/eRNbCvQgJ2VM2157iWF6pD7QNNfbStluBFRNW1l7znOLspc8xxPc1EFYaySpFrWrnolpcvtYz5k9Fo1lcVAyJLsW227jyNdEnzo5Ep5C2z8w26YMoLqK4iBWS39UqctT6SHrJe9tQSL15fqpvl0byp2qjXz2P7V/hFOYVoeVKRYrrRyrqVWKPAWk7F7niBNKY0SnOfp2hkSwH3/zzn9zELyIIUnYEqd/SemD+dHBfHLXXYMy6OdS27dbsHj0O5pNMDQ/Onk62vdbesu5bM+anP2ZPJ/N8OHtL3zV1j41bs3v0eOJ05YPzu1X2lhizbbdm53Rne1Js31bGQno8f2L40x/5piZ+Jwh9hUMOQmKLS7Rubb+5f7A8tT1N2mOiAE1y5MqX2FsmYCJtS7W3tE73QR8SBA8631pjgsFySspL2UvaNnbbYyJLKoGZs3MJziX22ra5fXInsEZYe8iWU56IgmLkQScKVmKPwZZrUSdqj7WXs9+anRMRBQWUtcXsLmesZ06N/RqJKwvdLsxBaoK03CZD7Ddn9y4EVbB8Zdi2RdjYFSkS9tjJFms7hND1g8zWgaSvlP3B2dOsPfVZTd0SdouWx+d9e4g75tH/HHBRwCngwfndi/+IrooY1xayW46UPdbGFFwRVYJU+bGfQZz9GgqsJFRkRcBNlJbvoELsnNCq3Z+XtqNCCfFvOTV2SV9TERqt6utxfblCz0WNwOHKl9hb1+eDE06t7bWCRNIXJ8By7Zx/H7dm50mBVGsf+7nD2VVgXYVuFwL45p//5OJTeNZOFJ+gnN1yUsLqqe1p0l5zeuRY7Balp2QsJ/XQeXx7IykK1F5vt/1fk2h8DPbUPLyzPW1qf3xzlhQbVrzEOK644fxM3Z4SRXe2J1X2mhPg1k5U/+zh7CquNCerGpzQ6oHr/vM8nJDqgev4sxdTQ+rLxHVCbUL0oYMTQD2QOnB0HaAC6wKak1WLP/2Rb6LP+oi3JDnNw/KMyEPsEj5a2lN98MD8abo1u5fkcHaubvbkWuNtzB7bpLU+OJHT2s5h7O2zWruEj95bpD5umnt005SNI1fW2lMCi6tbwp480V3xqokcHzX22jn2WR/xFhVYADSSVYjv/YUXXPnMn5T+KR3O7nPYUz6BUx2uiCmxS/iotXN94HJK7akysXKuveREIsJpbXc5pXZXBIVOu/a0u8gZvxZ2l1NrR9rQ4pSihA9XoDw1YPcfUsZyOHuMI2kfq28lT6ESlT2juGDDNYVGsqRRMtG4Ce1DIrLlc1xR0yuyleJwdjRyFeNwdpeXg5JokPQL/WrbgJTvEdVKcTg7ET5HOB+19hwfIa74HC2IdEgn5SMRISRqhXBa2S0nhdzIVe5P9KB1pIAIKA4qsPKhkSwh2MhWbCG0E7rUbjnppOszVvRwnFq7VB1EdX2B2C1q/BD1S9pv6QO1c4cvUhzObjmoXWL8a+/HGh8S9zz3Uy+W09JuOSkh4kaGOF6tvXUdRP36tLYOovr5qcIKgia+98D3/sILRn8PDSKCan30qIOIT/RHBBAHCR8cakWWRB1SPrhEX04kSaDHPTaVuSXhQ+KBz4GdF4Bw4TAVHz36U8JH7cGIO9tTFVg4dLuwB5AJKZH0m+I8OLvb3IcVRzXXgoi0OaPtb83uVb/XReKBfcukXzz4rMVjrJ3zgdTRwwc3bty1IqgV8Nw1IPjA+RNVddwy55Px8aw5M/8Yu0R/1gqbW7PyRHq0Heh2bUr87NaktJ2DlI8UEAGnAksGGslqiB9818dc+YxL6kU4vniRSB4u8eFyJK4F8RH6CQdfSHGcnN/pch8wd4bAz2N4DyCO08Leq50+hzvUgHBqD0bE2lbbz6U+plpPj/6IHaQJISfBH+FIHCTocVihtB25PkoT7z/zeW8LllOw0EjWGPjM570tOWmRpN4QxxcjJRElxIfLkUhQ5q4F8RH6SQdfNIWiVy6H+1kIC/8hU/KNPrcMEpmojVih9XCf1UacEB9oHRJ9klsH0kcl7eg1B2r4oTLIWPkHBEoEBXrIIFVPiY/cOizHBcLJ9QG9eoZJrOeeVYpyqMjqAG7y1m7vWXsqKlQqgqTbIeXDF0ohoYVsJcY4pQ/D3IdfiY+Sekr8IT56vZstxpEQHC2FawuRLdEOCZEdQnScQMGSEhQxHwjHr6uFD99ewpFuBxG/Najiqi10u7AzfvBdH8OKDCR5uEeCsRQO7Xqe2J6JRD564M5wwrYV4UjU0wtnZjV2Ey7Qq2+n1P8cHt+ejX4AyAI5ONDj8IsUoNPO4MlFFVei0NOFU8OP/NLzk/Zb5jyai4EC8SHFkQBXj33I1HLOzIruDstkW2p/Pufm7F40x6w3R8oHUTxvTqoeBBIi6+ZsRU9t03OA49yc7drBcSTqqfVBRHRm1nR3WFRzOHCngm+ZFd1J3H+39uMrwUnZpYDUI8XhgIzf7/3Qd1bVoQhCc7Kmhk/70HewHKltjinlidS0xQqnWs7dYUlnZlX8sEa2VS2vhiNVh6Sv1qdjrb00qnlztroQPykO4qe1D5Qj4evMrNnyKAfhhXDLrLoKLKQtEhwOEvUg/Y6Miwqs/tBI1kQQimyFhIIboeHsh8CRONUU4iFtCYksP8LlR7RKDhGgeWklhxFqfYzNKekbf9xC4iIU1fF5PgfxMyUO4iP04A1FOnyez0H8+BGskHDwhRHHQXyEeCUcifZKcrg+R8dWhVUX6HbhocAVW7FoTE5EB/FTUxfiA/EjVVcuJxbNcsWWK7RKhI/PQzg1dY3BqbmmXI47ZrHoDSdGUI7La12XBMe1pyIb9mGMcGI81+4KrFhUhhNPLTipCFEOp6au3GuqGTd3TFRcdYWKrEPET777ERE/h5Q0Owa4HBLFtHBmNmM3YfLYDjqnDwV3hmXxFqyP3/XIu0X8KLKhOVmHiN/1yLuhm+Ymc4PeMucs56ZZsxykLiLsIdibk+LNaaBbAosc4gPlcLyedUn0McrpBcn29vIjWdfNGXCvA5xaHzdna6ieU+CapsjheKdmwwosZM1FnxWK/lCRdQBAhVaNkHpqH2au9WMh8RC7O8zF/FheimMFR4ngsmVqhU1O3VIiCsEUhUJp2V7iHYVk31rEhAsqaiynRGjZOm7O1vTUNn7SzfpOcVChcmo2dG9/n9f6keTE2oT4Qb/4qriaNnS78EDhbyWGbsannP15Tlzl8Li6iOIPhLveohPiuZwaPyW+Ypw7iWPRIRHj82NCB+FJcXwe2iZujGIcn9fKzxTmWqv5WFOfL15iggnhIWIpVQbhxESHL1QQXohT4gfxVdvu3LVVRdUkoTlZxwhXaKW+8bhRqtYclycRXUI5veoLia1UpMjye3Ba1MdFT6THMZczVr2HUp8VMamIVA7HhZTPVEQHETMurwdH0lfOukukAmvCUJF1zPjJdz8CCR8k9IzwcnxJbKfYbUMJIL4QDip6UNwZFiK+UD8I7w44flLjk+Nniu2Smls5PA5PbRciuVXWFxG/hYjU+dR2AeU1Ibg3zEV8oX4QHuoLXW9VXE0eKrKuC97+y89J2s/MloiI7ibeaG45KA/19VQiZ+LmfkFCOBzPPpz8LZUQB+WlOBw4H5JtaeUL2S5Ft1RrffE5V7vl6m7ihJ3loLxj9YX44ZDbljvb+Hpxa7ZlOa3Wpyn5IiL66A95X9KumBRUZF1HxAQXshi4HJSH+ooJJERE3fQesDEeIjb8h3WtCCqto6QdY/iKCR8/IoZsqdb4ioks90FOxAuLFE998cgRcRYx8WTFVYrTck2aii8VVgcLfYXDdQRyw56Z7ZVFIsaT8nXTbK6IJZTjiyrEV+z0Vih5WPLkW80JOUlfSKI44h89qSh56hHdQvUf5jEOymvpy/8M9VXqv8ZXjMdxQ5yQeLo1214SWGFfV9eVkEhB1p+c9a73uqgC6zihkaxrhrf/8nOgG/7uMBPj2QWR4z01zFnBhPKsGOudI4MmLaM+W7RPIqGaSDb/C+W5eWLcg/7uYCDhIMmzEZ2ptg31RYSJLtTnne2MFVNWhCHrSe+1SbJOy1NRdVTQ7ULFZbzzPQ+L+TozRHc7z5ClIVoBdfLL3Q6nhuiezvILTLk/lhN+mfmZMXQXW1OvBZZEhPwE9gbssjHWGuk6P/yD3y/nTDEVqMhSpBETXWfe1IktNmPx3AduSnT5D+aYgDgt4JWIEbR8SXtQnnS9qL/aa0iJrDNz2RgTPC4vJYoQHlqntD/pelNwf7o4Jpr8n2RGeSkB464DU1t7UJ6KqmsBFVkKDCGx5S8mRFcXlBAnxEP9obzYAzckuELc0IPcf9iHeCFOzB/iv7YOpM0ob+r1hsbRFxwWvqAI8UKio4Y39XpjPn34YsjCF08hXkhghXjofR/iSq4jLepVcXWtoCJLkQdXbMUWH6LLi0uK53JRXorrclKRjRXII7r8MI898Et5LqR99+Sh3Jb1uuMYExEWrphIcREe6ku63tY8FzFhRXRZOEnwdu3Y/b/0mtBzLfJ5Kq6uJVRkKerwvvdiOVxLY2iFfEsW5hERoefv0LwZaV4LjNnGE2PoHPDZgodgSYZWwNIlzcvBmHVvwPlwZmZ0d0BO0cnycoD6bLHuPOe5KqoUKrIUguAE13L/EOQWqVY8In47JCdHxXKleBxy65NsmytgOMFjuWPxUlju1zxOmLTiTd0nJ7DOzO7UHSdccnmtuBxPeq1RYaXwoCJLIY+Y2Fp6D8HUgoVyS3loMnCKi+bJ5PhE2yRVFyrIfAETEzylvFY+LZbeWhcTGz4vh1vL87koL6fuFDcmsFxxQxQXLj4vh9vTZ4t1SMWVIgIVWYr2cEWXv2j5sIsYypPmtsivcbk5PqfSDi5CZEUPymvFdXkhceHCFRotuIfic3Np7qTfQW1FC8qbCrfFmqOiSgFCRZaiL9733ofZxYxot6AhvJbcFrg7DKzAmRJXNkMmH+fDAOdaEfHiwmJFA8wdGzltbcW9O2xZYdMSOfXfHbbi68FqGFRYKUqgIksxPn71fc9O2pf7xXUFJbBi3KWzYB8Cl0OPNt5juKcFXI6Xw0UEg84lHlNoY8k43R34Iy5nZg5xP/A5v8L6UigAqMhSTAcxsbUMfIONLb7HwE3xa33k1hfix8TO6cjcmMia6jhLzIne8yfGnwI3JpyssEK4Kq4UwlCRpZgmXMEVewhY+Atxit+K27MdU2iTL3JCQqiEW+PbF1mHOLYt2zzFNkn59kVTSFjF+CqsFA2hIktxOPjNX3luE79LmtMKfptWPr9lW1r4PdT+mGfkWC3NnFbA9lIJcn3n8Fu1e0r9MaMZbRtlAz747Pc08atQRKAiS3GYQATXknbfZnPEBcq33Fx+C98IcnxO6dpy+IjIWjoRDuTBX8qX9p3bDgRTuTainbAiIlhc5fBVWClGhIosxeEjJbjch7RF6mGdw2/pu4Q/Rr0hbi5fqi0pkbUMbB+lHv45/BA3ly/VlhRa15vDtyLJRUow5fJVWCkmAhVZiuOFFV8xIeDDPrxz+WiZUv8l7enRrlb+c8tYriuyYsLnUrm9AEC4JWVcgYHWUeq/ZT017QqJoxCsYMrlq5hSTBwqshTXA0/+yiNZ/JZ5NSVo7X+KmBsD/46e5eegZe7PVNH6mmc0a37f3H72u3ObpVCMBRVZiusJRHTV5O8gZXL5JW1C4QoURNjk8nvUgYosN1qCCI5cfq86WrcDKePzW8xhFVWKA4aKLIXCRUh8tdga8h8uvcr4QISJL3B6lJGqA9l+coVELr9nGR9Tamvt/CdSMaU4SqjIUihSePJXHsnK2SFqn+sjUcYiZ4ttMwzZW3JjlEHzeiy2tJ1kmRKx45dtXaZkDtpyKqoU1wAqshSKGtx7//NYzsy7z7bgbVNSrrQuZCtp4SWhr4GTjn6ZluUQceD3D1FZv5aWQ8cDQc/5UVLu9OF3Qb4ViiOGiiyFQhIx0RV6SLuIPbRS5VIPutJyMbEVEj0uYgKoZ7mYyGrR9y3KpdBzHpS2X0WVQnEFKrIUipZwRRf38PLhPsxyykqUc8UWJ3hcuOInp1xNWVvOFVk9+qumbKnAka675npVVCkULFRkKRRTwOr9Hw5z595vuG3AHwP2y+WUzcXU21hTT+m15WKsNi4ffifMVSgUSajIUiimipTwCj2AXaQeqlxZrnwKtb5rrouD9tlVqKBSKJpCRZZCcWiw4gt5OIfgPnRLfMQe2rW+JK5H0tcx9Y2KKYViFKjIUiiOHdv/9vyxm6AQxuxZ7xi7CQqFgoeKLIXiukNF2PSgIkqhOAqoyFIoFBhUjNVDxZNCca2gIkuhUCgUCoWiAaIia1HrQKFQKBQKhUJxFWVHWRQKhUKhUCgUSajIUigUCoVCoWgAFVkKhUKhUCgUDaAiS6FQKBQKhaIBVGQpFAqFQqFQNICKLIVCoVAoFIoGUJGlUCgUCoVC0QAqshQKhUKhUCgaQEWWQqFQKBQKRQOoyFIoFAqFQqFoABVZCoVCoVAoFA2gIkuhUCgUCoWiAVRkKRQKhUKhUDSAiiyFQqFQKBSKBlCRpVAoFAqFQtEAKrIUCoVCoVAoGkBFlkKhUCgUCkUDqMhSKBQKhUKhaIDF2A1QXA880zxrOKfz+x8YQ+bi3xf/c8lOSbv3mfH+YTyyVzztY4chVg7wPwT8xeohY3b8JCfgH6xjiHye/Iwyr8H7nK2Tqzu33qBtKG4/+SMSmgqXps5lvgm0xZ2ixrP5ZVx/7jS1n7vld/bLn18q71xTyn7Zt+fPXLZdrt+zedfh13nfPET9+9dy/9+ub8eHIXJWlCt8a3MZhoje8p/u/dAwDC8hhaIRVGQpuuCczukTZy8iM7Mr+mz3bzMjmpmd6JrN7q/49t8zQ8bhXLHb/y7s++Csy3ftRDQYs4vhOvaLz4iufmb/ff+JQMPF55a/90tENKMLvrXv/p8u2mb/vmSnwGeG9nXRvu2ezf1/8j8zl/6+ar9a9tLnzmf363b8Ab6v+Kd4+fufD5c4fpkL+xWfg8Nx/vbsxufuGHvb5f/fDzeRGciYYT81HI6tyrHPLv59XzzZz2Z0mbObDnvbhX3/b8dubbOQ7eLz7aW/d/YtzS8+29nn+3/b8ju7te3/39pp9++Z2V6Uc8vPnXJzs73g78ru6t5xtnvOri4iovn+M1tmTsO+jPU93Pd98e/df7u27zlENDdEczIXt/DcGJqR2X9m9n/PaLYf1LnZ/TV/+B3PJIWiIXS7UKFQKBQKhaIBVGQpFAqFQqFQNICKLIVCoVAoFIoGUJGlUCgUCoVC0QAqshQKhUKhUCgaQEWWQqFQKBQKRQOoyFIoFAqFQqFoABVZCoVCoVAoFA2gIkuhUCgUCoWiAVRkKRQKhUKhUDSAGYYrv5qmUIjDGPM2Iro7djsUCoXCwdkwDB8zdiMUxwv97UJFL9wdhuF3jt0IhUKhsDDG/NTYbVAcN3S7UKFQKBQKhaIBVGQpFAqFQqFQNICKLEUv/MOxG6BQKBQedF1SNIUmvisUCoVCoVA0gEayFAqFQqFQKBpARZZCoVAoFApFA6jIUjSHMeYlxpj/aoz5BWPMq8Zuj0KhOE4YY86MMT9hjHmrMebtxpiv2H/+YcaYH9+vQd9tjDnZf/61xpj/uP/v540xjzq+3mCMedQY8wMjXY7iCKA5WYqmMMbMiejniehFRPReIvpJIvqcYRh+dtSGKRSKo4MxxhDRrWEYnjTGLIno3xPRFxHRFxPR9w/D8F3GmL9PRG8dhuEbvbJfSES/fRiGP73/+zOI6CYR/dlhGF7W9UIURwONZCla4xOI6BeGYXjXMAznRPRdRPSHRm6TQqE4Qgw7PLn/c7n/byCi30dE37f//B8T0R8OFP8cIvpOx9e/IqInmjVWcS2gIkvRGs8hovc4f793/5lCoVCIwxgzN8b8RyL6VSJ6IxG9k4geHYZhvadcWYOMMY8Q0YcR0b/u2FTFNYCKLIVCoVAcDYZh2AzD8PFE9FzaRdI/Cij2CiL6vmEYNi3bprh+UJGlaI33EdEHO38/d/+ZQqFQNMMwDI8S0b8hohcS0TOMMfa3ekNr0CvI2SpUKKSgIkvRGj9JRM/fn+45od1i9n+P3CaFQnGEMMZ8gDHmGft/36DdgZufo53Y+qN72p8kon/ulPkoIvofiOjHujZWcS2w4CkKRTmGYVgbY/4iEf0QEc2J6JuHYXj7yM1SKBTHiYeJ6B/vTzXPiOh7hmH4AWPMzxLRdxljXktEP0NE3+SUeQURfdfgHbU3xvw72m013jbGvJeIXjkMww91uQrF0UBf4aBQKBQKhULRALpdqFAoFAqFQtEAKrIUCoVCoVAoGkBFlkKhUCgUCkUDqMhSKBQKhUKhaAAVWQqFQqFQKBQNoCJLoVAoFAqFogFUZCkUCoVCoVA0wP8PmDuUAEOYYOkAAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 612x388.8 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import numpy as np\n",
    "import healpy as hp\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "NSIDE = 16\n",
    "NPIX = hp.nside2npix(NSIDE) #以给出map中的像素数目NPIX\n",
    "vec = hp.ang2vec(np.pi / 2, np.pi * 3 / 4)\n",
    "print(vec)\n",
    "ipix_disc = hp.query_disc(nside=NSIDE, vec=vec, radius=np.radians(10))##查找对应的像素块\n",
    "print(ipix_disc)\n",
    "m = np.arange(NPIX)\n",
    "m[ipix_disc] = m.min()\n",
    "hp.mollview(m, title=\"Mollview image RING\")\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1528\n"
     ]
    }
   ],
   "source": [
    "ipix_disc = hp.ang2pix(nside=NSIDE, theta=np.pi / 2, phi=np.pi * 3 / 4)#查找对应的像素块\n",
    "print(ipix_disc)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1528"
      ]
     },
     "execution_count": 46,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "NSIDE = 1\n",
    "ipix_disc = hp.ang2pix(nside=NSIDE, theta=np.pi / 2, phi=np.pi * 3 / 4)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "HEALPix Pixel Len: 7460\n",
      "HEALPix Pixel Numbers: [12929 12929 20865 ... 20865 20865 12929]\n"
     ]
    }
   ],
   "source": [
    "# 使用 SkyCoord 转换为天球上的赤道坐标\n",
    "coords = SkyCoord(ra=ngc[:,1], dec=ngc[:,2], unit=(u.deg, u.deg), frame='icrs')\n",
    "# 提取赤道坐标中的RA和Dec\n",
    "ra_rad = np.deg2rad(coords.ra.value)   # 将RA转换为弧度\n",
    "dec_rad = np.deg2rad(coords.dec.value) # 将Dec转换为弧度\n",
    "\n",
    "# 在HEALPix中，θ是纬度 (π/2 - Dec)，φ是经度 (RA)\n",
    "theta = np.pi / 2 - dec_rad  # HEALPix 中的 θ 是从北天极开始的\n",
    "phi = ra_rad  # HEALPix 中的 φ 是赤经 (RA)\n",
    "\n",
    "# 设置 HEALPix 分辨率，Nside决定了HEALPix的分辨率，Nside越大，分辨率越高\n",
    "nside = 64  # 示例：Nside=64，分辨率相对较低，但足够可视化\n",
    "pix_nums = hp.ang2pix(nside, theta, phi)\n",
    "print(\"HEALPix Pixel Len:\", len(pix_nums))\n",
    "print(\"HEALPix Pixel Numbers:\", pix_nums)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "64\n"
     ]
    }
   ],
   "source": [
    "aaa = False\n",
    "while aaa:\n",
    "    nside = 1\n",
    "    pix_nums = hp.ang2pix(nside, theta, phi)\n",
    "    if len(pix_nums)==len(set(pix_nums)):\n",
    "        aaa=True\n",
    "    else:\n",
    "        nside+=1\n",
    "\n",
    "print(nside)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Heapix分区NSIDE至少为64时，保证每个pixel中只有一个星系(只针对我现在跑出来的7400多个星系时)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "LAMOST的视场半径2.5度，某次观测视场中心为（Ra，Dec) =（110，30），请在天球坐标中准确画出LAMOST的视场观测范围。（选做）"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1.9198621771937625 0.5235987755982988\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 612x388.8 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import numpy as np\n",
    "import healpy as hp\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "NSIDE = 64\n",
    "NPIX = hp.nside2npix(NSIDE) #以给出map中的像素数目NPIX\n",
    "\n",
    "# 使用 SkyCoord 转换为天球上的赤道坐标\n",
    "coords = SkyCoord(ra=110, dec=30, unit=(u.deg, u.deg), frame='icrs')\n",
    "# 提取赤道坐标中的RA和Dec\n",
    "ra_rad = np.deg2rad(coords.ra.value)   # 将RA转换为弧度\n",
    "dec_rad = np.deg2rad(coords.dec.value) # 将Dec转换为弧度\n",
    "print(ra_rad, dec_rad)\n",
    "\n",
    "# # 在HEALPix中，θ是纬度 (π/2 - Dec)，φ是经度 (RA)\n",
    "# theta = np.pi / 2 - dec_rad  # HEALPix 中的 θ 是从北天极开始的\n",
    "# phi = ra_rad  # HEALPix 中的 φ 是赤经 (RA)\n",
    "\n",
    "# pix_nums = hp.ang2pix(NSIDE, theta, phi)\n",
    "# print(pix_nums)\n",
    "vec = hp.ang2vec(ra_rad, dec_rad)\n",
    "# print(vec)\n",
    "ipix_disc = hp.query_disc(nside=NSIDE, vec=vec, radius=np.radians(2.5))##查找对应的像素块\n",
    "# print(ipix_disc)\n",
    "m = np.arange(NPIX)\n",
    "m[ipix_disc] = m.min()\n",
    "hp.mollview(m, title=\"Mollview image RING\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### SSY 视场中心在北天，这个投影是是什么？"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 2.2 银河系的光度大概是10<sup>11</sup>太阳光度，半光度半径Re大约是5Kpc。(太阳的V波段绝对星等是4.8等）。如果银河系距离观测者的距离是100kpc，其视星等和Re的视尺度（apparent size）各是多少？Re内的平均表面亮度是多少？如果距离是1Mpc呢？"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "银河系的Re=5kpc,M=4.8,银河系流量是太阳的10<sup>11</sup>倍。  \n",
    "d = 100kpc  \n",
    "M-M<sub>sun</sub>=-2.5lg(F/F<sub>sun</sub>)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "银河系的绝对星等： -22.7 mag\n"
     ]
    }
   ],
   "source": [
    "M=4.8-2.5*11\n",
    "print('银河系的绝对星等：',M,'mag')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "视星等： -2.6999999999999993 mag\n"
     ]
    }
   ],
   "source": [
    "m = M + 5*(np.log10(100*1000)-1)\n",
    "print('视星等：',m,'mag')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Re的视尺度： 2.8624052261117474 °\n"
     ]
    }
   ],
   "source": [
    "angle = np.arctan(5/100)\n",
    "print('Re的视尺度：',angle*180/np.pi,'°')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "r: 89.92511229949697 arcsec\n",
      "surface brightenss: 8.312279625949069 mag/arcsec/arcsec\n"
     ]
    }
   ],
   "source": [
    "r = angle*3600/2\n",
    "print('r:',r,'arcsec')\n",
    "surfaceb = m + 2.5 * np.log10(np.pi*r**2)\n",
    "print('surface brightenss:',surfaceb,'mag/arcsec/arcsec')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "视星等： 2.3000000000000007 mag\n"
     ]
    }
   ],
   "source": [
    "m = M + 5*(np.log10(1000*1000)-1)\n",
    "print('视星等：',m,'mag')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Re的视尺度： 0.2864765102770745 °\n"
     ]
    }
   ],
   "source": [
    "angle = np.arctan(5/1000)\n",
    "print('Re的视尺度：',angle*180/np.pi,'°')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "r: 8.99992500112498 arcsec\n",
      "surface brightenss: 8.31406913352458 mag/arcsec/arcsec\n"
     ]
    }
   ],
   "source": [
    "r = angle*3600/2\n",
    "print('r:',r,'arcsec')\n",
    "surfaceb = m + 2.5 * np.log10(np.pi*r**2)\n",
    "print('surface brightenss:',surfaceb,'mag/arcsec/arcsec')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## SSY: 星系的表面亮度没那么亮，18左右，哪里错了？"
   ]
  }
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