{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Final Processing of COSMOS Blind source catalogue\n",
    "\n",
    "![HELP LOGO](https://avatars1.githubusercontent.com/u/7880370?s=100&v=4>)\n",
    "\n",
    "\n",
    "The final processing stage requires:\n",
    "1. Quick validation of blind catalogues and Bayesian Pvalue maps\n",
    "2. Skewness level\n",
    "3. Adding flag to catalogue\n",
    "4. Merging MF catalogue with XID+ flux densities"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import seaborn as sns\n",
    "from astropy.table import Table,hstack\n",
    "%matplotlib inline\n",
    "import numpy as np\n",
    "import pylab as plt\n",
    "\n",
    "from astropy import units as u\n",
    "from astropy.table import Column\n",
    "\n",
    "import herschelhelp_internal\n",
    "from herschelhelp_internal.utils import gen_help_id\n",
    "import numpy.core.defchararray as np_f\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Read tables"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "cat=Table.read('./data/dmu22_XID+SPIRE_COSMOS_BLIND.fits')\n",
    "cat['RA'].unit=u.deg\n",
    "cat['Dec'].unit=u.deg"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<i>Table length=10</i>\n",
       "<table id=\"table4384526464\" class=\"table-striped table-bordered table-condensed\">\n",
       "<thead><tr><th>HELP_ID</th><th>RA</th><th>Dec</th><th>F_SPIRE_250</th><th>FErr_SPIRE_250_u</th><th>FErr_SPIRE_250_l</th><th>F_SPIRE_350</th><th>FErr_SPIRE_350_u</th><th>FErr_SPIRE_350_l</th><th>F_SPIRE_500</th><th>FErr_SPIRE_500_u</th><th>FErr_SPIRE_500_l</th><th>Bkg_SPIRE_250</th><th>Bkg_SPIRE_350</th><th>Bkg_SPIRE_500</th><th>Sig_conf_SPIRE_250</th><th>Sig_conf_SPIRE_350</th><th>Sig_conf_SPIRE_500</th><th>Rhat_SPIRE_250</th><th>Rhat_SPIRE_350</th><th>Rhat_SPIRE_500</th><th>n_eff_SPIRE_250</th><th>n_eff_SPIRE_500</th><th>n_eff_SPIRE_350</th><th>Pval_res_250</th><th>Pval_res_350</th><th>Pval_res_500</th></tr></thead>\n",
       "<thead><tr><th></th><th>deg</th><th>deg</th><th>mJy</th><th>mJy</th><th>mJy</th><th>mJy</th><th>mJy</th><th>mJy</th><th>mJy</th><th>mJy</th><th>mJy</th><th>mJy/Beam</th><th>mJy/Beam</th><th>mJy/Beam</th><th>mJy/Beam</th><th>mJy/Beam</th><th>mJy/Beam</th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th></tr></thead>\n",
       "<thead><tr><th>bytes27</th><th>float64</th><th>float64</th><th>float32</th><th>float32</th><th>float32</th><th>float32</th><th>float32</th><th>float32</th><th>float32</th><th>float32</th><th>float32</th><th>float32</th><th>float32</th><th>float32</th><th>float32</th><th>float32</th><th>float32</th><th>float32</th><th>float32</th><th>float32</th><th>float32</th><th>float32</th><th>float32</th><th>float32</th><th>float32</th><th>float32</th></tr></thead>\n",
       "<tr><td>5</td><td>149.658970659</td><td>1.05802312047</td><td>259.166</td><td>259.189</td><td>259.119</td><td>151.13</td><td>151.188</td><td>151.01</td><td>73.615</td><td>74.0035</td><td>72.7432</td><td>-0.122337</td><td>-0.17928</td><td>-0.129139</td><td>0.00390573</td><td>0.00594661</td><td>0.00752737</td><td>nan</td><td>nan</td><td>1.00093</td><td>2000.0</td><td>2000.0</td><td>2000.0</td><td>1.0</td><td>1.0</td><td>0.032</td></tr>\n",
       "<tr><td>25</td><td>149.812275168</td><td>1.13801045033</td><td>143.443</td><td>143.756</td><td>142.819</td><td>62.7002</td><td>64.0466</td><td>61.3446</td><td>22.0542</td><td>23.5786</td><td>20.4324</td><td>-0.122337</td><td>-0.17928</td><td>-0.129139</td><td>0.00390573</td><td>0.00594661</td><td>0.00752737</td><td>0.998921</td><td>0.999773</td><td>1.00097</td><td>2000.0</td><td>2000.0</td><td>2000.0</td><td>1.0</td><td>0.701</td><td>0.0</td></tr>\n",
       "<tr><td>26</td><td>149.765329292</td><td>1.14661297938</td><td>123.013</td><td>124.321</td><td>121.757</td><td>44.7309</td><td>45.8261</td><td>43.5345</td><td>10.9704</td><td>12.3793</td><td>9.43496</td><td>-0.122337</td><td>-0.17928</td><td>-0.129139</td><td>0.00390573</td><td>0.00594661</td><td>0.00752737</td><td>0.999289</td><td>0.998595</td><td>0.998897</td><td>2000.0</td><td>2000.0</td><td>2000.0</td><td>0.75</td><td>0.23</td><td>0.039</td></tr>\n",
       "<tr><td>562</td><td>149.709792168</td><td>1.08385259686</td><td>43.1135</td><td>44.684</td><td>41.4908</td><td>38.9773</td><td>40.8604</td><td>37.1154</td><td>26.8404</td><td>29.0301</td><td>24.7407</td><td>-0.122337</td><td>-0.17928</td><td>-0.129139</td><td>0.00390573</td><td>0.00594661</td><td>0.00752737</td><td>0.999405</td><td>1.001</td><td>1.00057</td><td>2000.0</td><td>2000.0</td><td>2000.0</td><td>0.017</td><td>0.191</td><td>0.0</td></tr>\n",
       "<tr><td>922</td><td>149.704237773</td><td>1.08107522335</td><td>24.3697</td><td>26.0254</td><td>22.7322</td><td>11.9316</td><td>13.5645</td><td>10.2902</td><td>3.56167</td><td>5.80706</td><td>1.62889</td><td>-0.122337</td><td>-0.17928</td><td>-0.129139</td><td>0.00390573</td><td>0.00594661</td><td>0.00752737</td><td>0.999105</td><td>0.999709</td><td>1.0</td><td>2000.0</td><td>2000.0</td><td>2000.0</td><td>0.001</td><td>0.038</td><td>0.0</td></tr>\n",
       "<tr><td>938</td><td>149.688671059</td><td>1.12327810237</td><td>35.8519</td><td>37.292</td><td>34.4345</td><td>17.9123</td><td>19.2489</td><td>16.5195</td><td>8.59254</td><td>10.1694</td><td>7.01141</td><td>-0.122337</td><td>-0.17928</td><td>-0.129139</td><td>0.00390573</td><td>0.00594661</td><td>0.00752737</td><td>1.00123</td><td>1.00047</td><td>0.999038</td><td>2000.0</td><td>2000.0</td><td>2000.0</td><td>0.0</td><td>0.0</td><td>0.0</td></tr>\n",
       "<tr><td>1248</td><td>149.833113039</td><td>1.11385499237</td><td>25.0491</td><td>26.534</td><td>23.5729</td><td>20.2647</td><td>21.723</td><td>18.8516</td><td>11.5884</td><td>13.5266</td><td>9.70492</td><td>-0.122337</td><td>-0.17928</td><td>-0.129139</td><td>0.00390573</td><td>0.00594661</td><td>0.00752737</td><td>0.998811</td><td>0.999032</td><td>0.999033</td><td>2000.0</td><td>2000.0</td><td>2000.0</td><td>0.0</td><td>0.0</td><td>0.0</td></tr>\n",
       "<tr><td>1260</td><td>149.784224911</td><td>1.1160711909</td><td>34.7668</td><td>36.2485</td><td>33.2672</td><td>26.4369</td><td>28.0608</td><td>24.8438</td><td>16.188</td><td>18.0324</td><td>14.3158</td><td>-0.122337</td><td>-0.17928</td><td>-0.129139</td><td>0.00390573</td><td>0.00594661</td><td>0.00752737</td><td>0.998908</td><td>0.999263</td><td>0.998835</td><td>2000.0</td><td>2000.0</td><td>2000.0</td><td>0.004</td><td>0.002</td><td>0.04</td></tr>\n",
       "<tr><td>1492</td><td>149.80699421</td><td>1.15328209363</td><td>32.1274</td><td>33.3191</td><td>31.0016</td><td>15.7765</td><td>16.8629</td><td>14.6318</td><td>5.03799</td><td>6.57929</td><td>3.51363</td><td>-0.122337</td><td>-0.17928</td><td>-0.129139</td><td>0.00390573</td><td>0.00594661</td><td>0.00752737</td><td>0.999063</td><td>0.998313</td><td>1.00197</td><td>2000.0</td><td>2000.0</td><td>2000.0</td><td>0.077</td><td>0.16</td><td>0.0</td></tr>\n",
       "<tr><td>2160</td><td>149.739501708</td><td>1.12578419822</td><td>21.5863</td><td>23.0476</td><td>20.1153</td><td>10.3827</td><td>11.6989</td><td>8.98211</td><td>1.12543</td><td>2.35239</td><td>0.292657</td><td>-0.122337</td><td>-0.17928</td><td>-0.129139</td><td>0.00390573</td><td>0.00594661</td><td>0.00752737</td><td>0.998913</td><td>0.99899</td><td>0.999897</td><td>2000.0</td><td>2000.0</td><td>2000.0</td><td>0.0</td><td>0.0</td><td>0.005</td></tr>\n",
       "</table>"
      ],
      "text/plain": [
       "<Table length=10>\n",
       "          HELP_ID                 RA      ... Pval_res_350 Pval_res_500\n",
       "                                 deg      ...                          \n",
       "          bytes27              float64    ...   float32      float32   \n",
       "--------------------------- ------------- ... ------------ ------------\n",
       "5                           149.658970659 ...          1.0        0.032\n",
       "25                          149.812275168 ...        0.701          0.0\n",
       "26                          149.765329292 ...         0.23        0.039\n",
       "562                         149.709792168 ...        0.191          0.0\n",
       "922                         149.704237773 ...        0.038          0.0\n",
       "938                         149.688671059 ...          0.0          0.0\n",
       "1248                        149.833113039 ...          0.0          0.0\n",
       "1260                        149.784224911 ...        0.002         0.04\n",
       "1492                         149.80699421 ...         0.16          0.0\n",
       "2160                        149.739501708 ...          0.0        0.005"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cat[0:10]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Look at Symmetry of PDFs to determine depth level of catalogue"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/Steven/anaconda/envs/herschelhelp_internal/lib/python3.6/site-packages/matplotlib/axes/_axes.py:6462: UserWarning: The 'normed' kwarg is deprecated, and has been replaced by the 'density' kwarg.\n",
      "  warnings.warn(\"The 'normed' kwarg is deprecated, and has been \"\n",
      "/Users/Steven/anaconda/envs/herschelhelp_internal/lib/python3.6/site-packages/matplotlib/axes/_axes.py:6462: UserWarning: The 'normed' kwarg is deprecated, and has been replaced by the 'density' kwarg.\n",
      "  warnings.warn(\"The 'normed' kwarg is deprecated, and has been \"\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x432 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "skew=(cat['FErr_SPIRE_250_u']-cat['F_SPIRE_250'])/(cat['F_SPIRE_250']-cat['FErr_SPIRE_250_l'])\n",
    "skew.name='(84th-50th)/(50th-16th) percentile'\n",
    "g=sns.jointplot(x=np.log10(cat['F_SPIRE_250']),y=skew, kind='hex')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "For 250 $\\mathrm{\\mu m}$ depth is ~ 6mJy"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/Steven/anaconda/envs/herschelhelp_internal/lib/python3.6/site-packages/matplotlib/axes/_axes.py:6462: UserWarning: The 'normed' kwarg is deprecated, and has been replaced by the 'density' kwarg.\n",
      "  warnings.warn(\"The 'normed' kwarg is deprecated, and has been \"\n",
      "/Users/Steven/anaconda/envs/herschelhelp_internal/lib/python3.6/site-packages/matplotlib/axes/_axes.py:6462: UserWarning: The 'normed' kwarg is deprecated, and has been replaced by the 'density' kwarg.\n",
      "  warnings.warn(\"The 'normed' kwarg is deprecated, and has been \"\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x432 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "skew=(cat['FErr_SPIRE_350_u']-cat['F_SPIRE_350'])/(cat['F_SPIRE_350']-cat['FErr_SPIRE_350_l'])\n",
    "skew.name='(84th-50th)/(50th-16th) percentile'\n",
    "g=sns.jointplot(x=np.log10(cat['F_SPIRE_350']),y=skew, kind='hex')\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "For 350 $\\mathrm{\\mu m}$ depth is ~ 6mJy"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/Steven/anaconda/envs/herschelhelp_internal/lib/python3.6/site-packages/matplotlib/axes/_axes.py:6462: UserWarning: The 'normed' kwarg is deprecated, and has been replaced by the 'density' kwarg.\n",
      "  warnings.warn(\"The 'normed' kwarg is deprecated, and has been \"\n",
      "/Users/Steven/anaconda/envs/herschelhelp_internal/lib/python3.6/site-packages/matplotlib/axes/_axes.py:6462: UserWarning: The 'normed' kwarg is deprecated, and has been replaced by the 'density' kwarg.\n",
      "  warnings.warn(\"The 'normed' kwarg is deprecated, and has been \"\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x432 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "skew=(cat['FErr_SPIRE_500_u']-cat['F_SPIRE_500'])/(cat['F_SPIRE_500']-cat['FErr_SPIRE_500_l'])\n",
    "skew.name='(84th-50th)/(50th-16th) percentile'\n",
    "g=sns.jointplot(x=np.log10(cat['F_SPIRE_500']),y=skew, kind='hex')\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "For 500 $\\mathrm{\\mu m}$ depth is ~ 6mJy"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Add flag to catalogue"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "cat.add_column(Column(np.zeros(len(cat), dtype=bool),name='flag_spire_250'))\n",
    "cat.add_column(Column(np.zeros(len(cat), dtype=bool),name='flag_spire_350'))\n",
    "cat.add_column(Column(np.zeros(len(cat), dtype=bool),name='flag_spire_500'))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "ind_250=(cat['Pval_res_250']>0.5) | (cat['F_SPIRE_250'] < 6)\n",
    "ind_350=(cat['Pval_res_350']>0.5) | (cat['F_SPIRE_350'] < 6)\n",
    "ind_500=(cat['Pval_res_500']>0.5) | (cat['F_SPIRE_500'] < 6)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "10204 10732 10509 12135\n"
     ]
    }
   ],
   "source": [
    "print(ind_250.sum(),ind_350.sum(),ind_500.sum(),len(cat))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "cat['flag_spire_250'][ind_250]=True\n",
    "cat['flag_spire_350'][ind_350]=True\n",
    "cat['flag_spire_500'][ind_500]=True"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "# set XID+ cahtalogue back to orignal order of objects, as used in MF detection files\n",
    "use = cat['HELP_ID'].astype(int) -1\n",
    "use = np.argsort(use)\n",
    "cat = cat[use]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Reads MF table, removes duplicate RA and DEC\n",
    "cat2=Table.read('./data/COSMOS_SPIRE_all.fits')\n",
    "del cat2['RA']\n",
    "del cat2['Dec']\n",
    "cat_all = hstack([cat,cat2])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Created HELP_ID, and changes HELP to HELP_BLIND to avoid confusion with HELP-Masterlist objects\n",
    "ID = gen_help_id(cat_all['RA'], cat_all['Dec'])\n",
    "ID_new = [IDs.replace('HELP','HELP_BLIND') for IDs in ID]\n",
    "ID_new = Column(ID_new,name=\"HELP_ID\")\n",
    "cat_all['HELP_ID'] = ID_new"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "# all flux denisties are in mJy in the final BLIND catalogues\n",
    "cat_all['F_BLIND_MF_SPIRE_250'].unit = 'mJy'\n",
    "cat_all['F_BLIND_MF_SPIRE_250'] = 1000*cat_all['F_BLIND_MF_SPIRE_250']\n",
    "cat_all['FErr_BLIND_MF_SPIRE_250'].unit = 'mJy'\n",
    "cat_all['FErr_BLIND_MF_SPIRE_250'] = 1000*cat_all['FErr_BLIND_MF_SPIRE_250']\n",
    "\n",
    "cat_all['F_BLIND_MF_SPIRE_350'].unit = 'mJy'\n",
    "cat_all['F_BLIND_MF_SPIRE_350'] = 1000*cat_all['F_BLIND_MF_SPIRE_350']\n",
    "cat_all['FErr_BLIND_MF_SPIRE_350'].unit = 'mJy'\n",
    "cat_all['FErr_BLIND_MF_SPIRE_350'] = 1000*cat_all['FErr_BLIND_MF_SPIRE_350']\n",
    "\n",
    "cat_all['F_BLIND_MF_SPIRE_500'].unit = 'mJy'\n",
    "cat_all['F_BLIND_MF_SPIRE_500'] = 1000*cat_all['F_BLIND_MF_SPIRE_500']\n",
    "cat_all['FErr_BLIND_MF_SPIRE_500'].unit = 'mJy'\n",
    "cat_all['FErr_BLIND_MF_SPIRE_500'] = 1000*cat_all['FErr_BLIND_MF_SPIRE_500']\n",
    "\n",
    "cat_all['F_BLIND_pix_SPIRE'].unit = 'mJy'\n",
    "cat_all['F_BLIND_pix_SPIRE'] = 1000*cat_all['F_BLIND_pix_SPIRE']\n",
    "cat_all['FErr_BLIND_pix_SPIRE'].unit = 'mJy'\n",
    "cat_all['FErr_BLIND_pix_SPIRE'] = 1000*cat_all['FErr_BLIND_pix_SPIRE']\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# XID+ flux density vs. MF flux densities\n",
    "plt.hexbin(cat_all['F_SPIRE_250'],cat_all['F_BLIND_MF_SPIRE_250'], cmap=plt.cm.Blues,gridsize=(300,300))\n",
    "plt.plot([0,100],[0,100], color = 'red')\n",
    "plt.xlim(0,100)\n",
    "plt.ylim(0,100)\n",
    "plt.xlabel('F_SPIRE_250')\n",
    "plt.ylabel('F_BLIND_MF_SPIRE_250')\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Add field name\n",
    "cat_all.add_column(Column(['COSMOS']*len(cat_all),name='field'))\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "WARNING: UnitsWarning: 'mJy/Beam' did not parse as fits unit: At col 4, Unit 'Beam' not supported by the FITS standard. Did you mean beam? [astropy.units.core]\n"
     ]
    }
   ],
   "source": [
    "cat_all.write('./data/dmu22_XID+SPIRE_COSMOS_BLIND_Matched_MF.fits', format='fits',overwrite=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": true
   },
   "source": [
    "*This is a default HELP jupyter notebook *\n",
    "\n",
    " ![HELP LOGO](https://avatars1.githubusercontent.com/u/7880370?s=75&v=4)\n",
    "\n",
    "**Authors**: S. Duivenvoorden\n",
    "\n",
    " \n",
    "For a full description of the database and how it is organised in to `dmu_products` please the top level [readme](../readme.md).\n",
    " \n",
    "The Herschel Extragalactic Legacy Project, ([HELP](http://herschel.sussex.ac.uk/)), is a [European Commission Research Executive Agency](https://ec.europa.eu/info/departments/research-executive-agency_en)\n",
    "funded project under the SP1-Cooperation, Collaborative project, Small or medium-scale focused research project, FP7-SPACE-2013-1 scheme, Grant Agreement\n",
    "Number 607254.\n",
    "\n",
    "[Acknowledgements](http://herschel.sussex.ac.uk/acknowledgements)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
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