Untitled.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import main"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 79,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<module 'main' from '/home/peter/PycharmProjects/GoogleMapsRoute/main.py'>"
      ]
     },
     "execution_count": 79,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import imp\n",
    "imp.reload(main)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "from mpl_toolkits.basemap import Basemap, cm"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "def create_basemap( llcrnrlat=20,urcrnrlat=50,llcrnrlon=-130,urcrnrlon=-60, figsize=(16,9) ):\n",
    "    fig=plt.figure( figsize = figsize )\n",
    "    Bm = Basemap( projection='merc', \n",
    "                llcrnrlat=llcrnrlat,urcrnrlat=urcrnrlat,\n",
    "                llcrnrlon=llcrnrlon,urcrnrlon=urcrnrlon,\n",
    "                lat_ts=20,resolution='i' )\n",
    "    # draw coastlines, state and country boundaries, edge of map.\n",
    "    Bm.drawcoastlines(); \n",
    "    Bm.drawstates();\n",
    "    Bm.drawcounties()\n",
    "    Bm.drawcountries() \n",
    "    return Bm, fig"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_full = main.fetch_coords(\"State College, PA\", \"New York\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "route = main.fetch_route(\"State College, PA\", \"New York\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'geocoded_waypoints': [{'geocoder_status': 'OK',\n",
       "   'place_id': 'ChIJc9s7wZmozokRkYA8g8LG4Zw',\n",
       "   'types': ['locality', 'political']},\n",
       "  {'geocoder_status': 'OK',\n",
       "   'place_id': 'ChIJOwg_06VPwokRYv534QaPC8g',\n",
       "   'types': ['locality', 'political']}],\n",
       " 'routes': [{'bounds': {'northeast': {'lat': 41.0831729, 'lng': -74.0048448},\n",
       "    'southwest': {'lat': 40.6858967, 'lng': -77.8601425}},\n",
       "   'copyrights': 'Map data ©2017 Google',\n",
       "   'legs': [{'distance': {'text': '244 mi', 'value': 392343},\n",
       "     'duration': {'text': '3 hours 58 mins', 'value': 14303},\n",
       "     'end_address': 'New York, NY, USA',\n",
       "     'end_location': {'lat': 40.712477, 'lng': -74.0062258},\n",
       "     'start_address': 'State College, PA, USA',\n",
       "     'start_location': {'lat': 40.7932909, 'lng': -77.8601425},\n",
       "     'steps': [{'distance': {'text': '69 ft', 'value': 21},\n",
       "       'duration': {'text': '1 min', 'value': 7},\n",
       "       'end_location': {'lat': 40.7934259, 'lng': -77.860316},\n",
       "       'html_instructions': 'Head <b>northwest</b> on <b>S Allen St</b> toward <b>W Beaver Ave</b>',\n",
       "       'polyline': {'points': 'am~wFz`fzM[b@'},\n",
       "       'start_location': {'lat': 40.7932909, 'lng': -77.8601425},\n",
       "       'travel_mode': 'DRIVING'},\n",
       "      {'distance': {'text': '0.6 mi', 'value': 928},\n",
       "       'duration': {'text': '3 mins', 'value': 180},\n",
       "       'end_location': {'lat': 40.7992999, 'lng': -77.85248729999999},\n",
       "       'html_instructions': 'Turn <b>right</b> at the 1st cross street onto <b>E Beaver Ave</b>',\n",
       "       'maneuver': 'turn-right',\n",
       "       'polyline': {'points': '}m~wF~afzMyAsBuAuB}A}B{AwBoAoBwCgEmAgBoCcEMOaD{EaDwESU'},\n",
       "       'start_location': {'lat': 40.7934259, 'lng': -77.860316},\n",
       "       'travel_mode': 'DRIVING'},\n",
       "      {'distance': {'text': '479 ft', 'value': 146},\n",
       "       'duration': {'text': '1 min', 'value': 18},\n",
       "       'end_location': {'lat': 40.8002871, 'lng': -77.85352929999999},\n",
       "       'html_instructions': 'Turn <b>left</b> onto <b>High St</b>',\n",
       "       'maneuver': 'turn-left',\n",
       "       'polyline': {'points': 'sr_xF`qdzMOAGAE@KBg@r@}@nAYb@[d@'},\n",
       "       'start_location': {'lat': 40.7992999, 'lng': -77.85248729999999},\n",
       "       'travel_mode': 'DRIVING'},\n",
       "      {'distance': {'text': '1.6 mi', 'value': 2577},\n",
       "       'duration': {'text': '3 mins', 'value': 186},\n",
       "       'end_location': {'lat': 40.8124292, 'lng': -77.8278115},\n",
       "       'html_instructions': 'Turn <b>right</b> onto <b>PA-26 N</b>/<b>E College Ave</b>',\n",
       "       'maneuver': 'turn-right',\n",
       "       'polyline': {'points': 'yx_xFpwdzMEBC@E?C@AAC?EACCEEY_@m@{@{@qA_AuAQYS[Ua@a@u@Q_@Wi@EIGOGKGKg@cBWiASo@ESeBsGGSK]YkA}H}Ya@_BGSQo@a@_BcBkGcAyDSs@Ma@m@mB}@eC[{@cCaHm@cB]aAa@kAEKi@{A]}@u@qBy@qBi@sACKkAsCKSGQc@eAO_@c@y@Oq@_AiBm@iAu@wAIQKQQ]u@uAMSKSOYMWk@iA'},\n",
       "       'start_location': {'lat': 40.8002871, 'lng': -77.85352929999999},\n",
       "       'travel_mode': 'DRIVING'},\n",
       "      {'distance': {'text': '0.8 mi', 'value': 1331},\n",
       "       'duration': {'text': '1 min', 'value': 65},\n",
       "       'end_location': {'lat': 40.8217051, 'lng': -77.83768049999999},\n",
       "       'html_instructions': 'Turn <b>left</b> to merge onto <b>US-322 W</b>',\n",
       "       'polyline': {'points': 'udbxFxv_zMONq@~@wCjEaAxAoCfE]b@UZQXc@h@WXWXQR[Z[\\\\UROLMLGDQPGJENeCnBu@l@g@`@]X_@XaAt@a@Z}BjB_BlAWTaAx@{AvAs@t@cAfASV_BhBmAdB'},\n",
       "       'start_location': {'lat': 40.8124292, 'lng': -77.8278115},\n",
       "       'travel_mode': 'DRIVING'},\n",
       "      {'distance': {'text': '0.7 mi', 'value': 1172},\n",
       "       'duration': {'text': '1 min', 'value': 48},\n",
       "       'end_location': {'lat': 40.8308772, 'lng': -77.838839},\n",
       "       'html_instructions': 'Take the <b>I-99 N</b>/<b>US-220 N</b> exit toward <b>I-80</b>/<b>Bellefonte</b>',\n",
       "       'maneuver': 'ramp-right',\n",
       "       'polyline': {'points': 'u~cxFntazMWRKJSZSZ_DvEu@dAQTY^YZ]^YVURm@b@k@^m@Z]Nc@NYHYHYHg@J]DYBi@D[Be@?c@?k@A_@Ce@Gc@Ga@IWG}@W]MWMQI_@SWOs@a@eBeAg@[}@o@s@m@m@c@USUQQQ[UGCGCQC'},\n",
       "       'start_location': {'lat': 40.8217051, 'lng': -77.83768049999999},\n",
       "       'travel_mode': 'DRIVING'},\n",
       "      {'distance': {'text': '10.7 mi', 'value': 17285},\n",
       "       'duration': {'text': '10 mins', 'value': 606},\n",
       "       'end_location': {'lat': 40.9384412, 'lng': -77.7306337},\n",
       "       'html_instructions': 'Merge onto <b>I-99 N</b>',\n",
       "       'maneuver': 'merge',\n",
       "       'polyline': {'points': '_xexFv{azMsD{CqAkAIGe@a@mCwBoC}BaA{@IIw@o@OKyE_EiB{A}@u@mB_BgA_AoBaBsCwBMMMKKIIGUYy@u@c@]eA{@USm@m@USaAcAa@g@GIg@q@W_@a@m@CE]k@MUGKS_@o@uA[s@c@kAIU_@kA]mA_@}AY}AOw@Mu@QsAGw@MwAK{AEoAEmACwAA]CiBCgAC}@Aw@Ac@AKAg@CYCk@AOC]KsAIw@E[Ga@QkAOaAWqAWmASu@K[GYUs@]kAi@eB}@yC_AyCq@_CaA}Cg@aB}@yCgAsDk@cBcAuC{@yBq@_BgB_EaCyEOWsByDe@}@y@_BqAeC]m@g@aAi@cAw@yA{BiEw@yAi@cA[k@e@}@eBcDoBuDiDoGcAgBaAaBu@kA}@qAeAyAy@iAOQ}@gAmBwB_@c@e@c@u@{@OOOM{@w@cC}BwHkHm@m@}AsAo@m@EEiBiBo@m@}ByBs@q@gBcBaNmMu@s@eAcAmCgC_DyCcIwH_@a@uAwAy@_A}AkBm@w@]e@_AqAOQ_BcCgAgBy@wA_AcBkA_Cs@{Ag@kAq@}A{@yBUk@aAmCmBmFeAsCyKqZoAkD_@cAq@uBW{@c@}Ag@wBWcAWqAUkAMy@[sBWuBOkBMwAE{@KsBM_DGwBSuGKcCGwAIqAQmCMaB]sDg@cEgAcJo@gFGa@o@oFcAaI[kCwAeLy@{GU{AIm@O_AQcAI]Ou@Qo@Os@i@iBk@eBm@aBO_@Se@Se@CG]s@Ua@]q@[i@o@aAa@o@Ya@aAoAo@q@u@u@w@o@c@[u@e@i@]k@W[OSIc@O}@U]Gg@IWCSAQASAU?i@Aq@BYBO@k@FUDWDUFSFODUHMDSHSHUJWLe@VyA|@{AbAwBrAIFoAv@kAr@u@`@WNm@Z{@`@a@PsAj@c@Pk@R}@Zg@Ng@Nk@Ne@JmA\\\\mFrA_Cl@iBd@sA\\\\i@LgAXmNnDyBj@cAV}Bj@sA\\\\k@N}@T{@RA@wCn@g@Hi@JUBeAN_AJe@Ds@FsAHmAFaADaAFyIb@gBHcERkDPW@q@@c@Bs@F]BoCLeKf@}@D}@Dg@@m@@cA@i@?o@?]A_@Ak@AeCMk@Ek@G]C_@G[Ce@GYGq@Ie@K]Gm@Kk@Os@Qc@Kc@Mc@Mu@Ui@Sg@Qk@Sg@Ui@Ug@So@[a@Si@Y[Q[Qy@g@oAw@oDyBuBqA{@i@y@g@w@g@uFiDyGcEqAy@{@i@o@a@uBoAe@[oBsASMQOe@]c@]iAaA_@]e@c@c@a@_@a@uAwAsBcCsAyAs@{@OQMO'},\n",
       "       'start_location': {'lat': 40.8308772, 'lng': -77.838839},\n",
       "       'travel_mode': 'DRIVING'},\n",
       "      {'distance': {'text': '0.4 mi', 'value': 586},\n",
       "       'duration': {'text': '1 min', 'value': 36},\n",
       "       'end_location': {'lat': 40.9421031, 'lng': -77.7256747},\n",
       "       'html_instructions': 'Continue onto <b>US Hwy 220 N</b>',\n",
       "       'polyline': {'points': 'gxzxFlwlyMq@u@q@y@sEiFg@m@SS[a@_@e@IK[a@W_@MSOUQ]]o@ACMWq@yAs@eBi@yA'},\n",
       "       'start_location': {'lat': 40.9384412, 'lng': -77.7306337},\n",
       "       'travel_mode': 'DRIVING'},\n",
       "      {'distance': {'text': '0.2 mi', 'value': 377},\n",
       "       'duration': {'text': '1 min', 'value': 33},\n",
       "       'end_location': {'lat': 40.9440991, 'lng': -77.7235606},\n",
       "       'html_instructions': 'Turn <b>left</b> onto the <b>I-80 E</b>/<b>US-220 N</b> ramp to <b>Williamsport</b>',\n",
       "       'polyline': {'points': 'co{xFlxkyMGMMJw@j@WPIFKDMBM@M?Q?UEWIIEKGMKIGKMEIIKISEMGUEUEWGm@Io@QqBG_ACQ?CCEACEI'},\n",
       "       'start_location': {'lat': 40.9421031, 'lng': -77.7256747},\n",
       "       'travel_mode': 'DRIVING'},\n",
       "      {'distance': {'text': '194 mi', 'value': 311898},\n",
       "       'duration': {'text': '2 hours 52 mins', 'value': 10323},\n",
       "       'end_location': {'lat': 40.8648633, 'lng': -74.4233823},\n",
       "       'html_instructions': 'Merge onto <b>I-80 E</b><div style=\"font-size:0.9em\">Partial toll road</div><div style=\"font-size:0.9em\">Entering New Jersey</div>',\n",
       "       'maneuver': 'merge',\n",
       "       'polyline': {'points': 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       "       'start_location': {'lat': 40.9440991, 'lng': -77.7235606},\n",
       "       'travel_mode': 'DRIVING'},\n",
       "      {'distance': {'text': '0.4 mi', 'value': 709},\n",
       "       'duration': {'text': '1 min', 'value': 38},\n",
       "       'end_location': {'lat': 40.8604026, 'lng': -74.4194153},\n",
       "       'html_instructions': 'Take exit <b>43</b> for <b>I-287 S</b>/<b>Morristown S</b>',\n",
       "       'maneuver': 'ramp-right',\n",
       "       'polyline': {'points': 'kllxFbyfeMPoATmEBU@ODSBODSFSFSDOFQHQHQFOVk@PULQPSRSRUPMPOf@[JIj@g@^[LMNILILGRINGPGPEPCPCRARANAP@P?N@PDRBRBRFPDPFVJpA^'},\n",
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       "       'travel_mode': 'DRIVING'},\n",
       "      {'distance': {'text': '3.4 mi', 'value': 5468},\n",
       "       'duration': {'text': '3 mins', 'value': 188},\n",
       "       'end_location': {'lat': 40.81552, 'lng': -74.445},\n",
       "       'html_instructions': 'Merge onto <b>I-287 S</b>',\n",
       "       'maneuver': 'merge',\n",
       "       'polyline': {'points': 'opkxFj`feMz@^|@`@|@b@f@T|@d@x@b@|@d@z@f@x@d@z@f@z@f@bMvH~BxAlBhAtD|B`CxA~AbAn@b@vA|@\\\\TLFvBrAdDrBt@d@~AbAtAt@~AbA|CpBrBnAtCbB`Bz@|CnBTNd@ZXPLFd@Xf@Zz@f@h@\\\\vA|@`_@dUhAv@PJfAp@|A|@xFnDh@Z|AbANJrCbBl@^zA~@nAv@|EvCxAx@bBx@`Bt@fBr@|@Z|@Z`AXTHfDz@LDPFXFzBj@`AXJBhBb@lBd@jBf@ZHdB`@dFnAtAZvD`An@LJ@b@J^HRF~Cx@dAXJ@l@J@?r@N`ANpATrARvBX|ATnAPJ@bAJF@D?H@F@'},\n",
       "       'start_location': {'lat': 40.8604026, 'lng': -74.4194153},\n",
       "       'travel_mode': 'DRIVING'},\n",
       "      {'distance': {'text': '0.6 mi', 'value': 985},\n",
       "       'duration': {'text': '1 min', 'value': 45},\n",
       "       'end_location': {'lat': 40.8081207, 'lng': -74.44585529999999},\n",
       "       'html_instructions': 'Take exit <b>37</b> for <b>NJ-24 E</b> toward <b>I-78 E</b>/<b>Springfield</b>',\n",
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       "       'start_location': {'lat': 40.81552, 'lng': -74.445},\n",
       "       'travel_mode': 'DRIVING'},\n",
       "      {'distance': {'text': '9.4 mi', 'value': 15089},\n",
       "       'duration': {'text': '9 mins', 'value': 531},\n",
       "       'end_location': {'lat': 40.7143282, 'lng': -74.3260805},\n",
       "       'html_instructions': 'Continue onto <b>NJ-24 E</b>',\n",
       "       'polyline': {'points': 'wiaxFrekeMb@]d@YTMh@U|@Y~@YdBg@jA[xC}@^KdC{@xB{@HC|As@jCqApAs@XQ^SfAq@x@k@lBsAv@k@`@[|@s@`Ay@t@q@p@o@^a@`@c@`@e@\\\\e@^g@\\\\i@Zg@NWVi@Xk@LULYVq@JSHW`@gA\\\\kAZoAXoAX}A`@yB\\\\kBP}@r@_E^gBH]DSf@gBl@_Bx@eBR_@^i@\\\\i@Ze@lA_BtAiBhBaC\\\\_@BCBAzAkBd@o@d@q@pBoCjAcBlBgCjCmDvH}JXa@pAgBdIqKvEkG~DkFtMgQd@m@xDgFzCaElBeCvFsHx@iAbBwBdBwBd@i@V[j@m@b@g@~@cA^_@b@c@tBsBrAmAdA}@bAy@r@i@t@k@v@i@jAu@r@c@jAm@b@Sx@[h@Ql@Ob@K`@Gd@IbAIj@E^AhAGrAGvAKrAIh@GTAj@IHCt@Md@MTG`@OVIl@Wn@]f@Yj@]r@i@ZYLMd@c@NQh@m@Zc@x@oAXg@v@sAt@uAt@wAh@cAl@mAh@iA^s@Re@Xi@Ti@Xo@^y@d@eAf@kAXs@d@iAf@kAn@aBd@oAb@kAVu@lCmH`BsEvC_IpEcMTm@p@iBjBeFv@uBn@gBhDiJdEeLrC}Hl@_BxCiIHU`@cAXm@Vk@d@}@^u@z@qAl@{@V]`@e@TWr@w@x@u@x@s@ZUz@m@v@e@l@[h@Wp@Yj@Wp@SbAW`@KpCa@rAOxC]HAnHw@tC[l@Gv@GXE\\\\CpASz@Qr@SrAi@n@]^Sn@_@t@m@l@c@ZY\\\\c@x@iAn@gAv@yA`@cAn@oB\\\\sA^qBVcBh@gEf@cERyAr@aFLq@FUd@eCNs@DUr@wCd@eBh@_BFUPe@Ri@Tq@d@mA\\\\aAf@kA\\\\w@f@cAxAwChA}Bf@aAl@oAj@gA|@oBt@eBxAoD~@yBd@kAx@cBt@wAfAiBZe@NUZa@x@eAlEuFrBgChCcDt@_AfByBbC{ChA}At@cAdA_Bl@aAFId@y@f@y@r@oApAeCxCiGv@_B^w@fCkF~@kBnB_Ep@_BnAgCZi@Zk@Zg@f@u@t@eA`@g@bAkApGkIT[~@_BZm@Xm@Rg@zB}Fj@}AVq@n@_BXk@LWZk@\\\\g@`@g@`@c@t@o@RQb@['},\n",
       "       'start_location': {'lat': 40.8081207, 'lng': -74.44585529999999},\n",
       "       'travel_mode': 'DRIVING'},\n",
       "      {'distance': {'text': '0.6 mi', 'value': 935},\n",
       "       'duration': {'text': '1 min', 'value': 40},\n",
       "       'end_location': {'lat': 40.7125031, 'lng': -74.3168677},\n",
       "       'html_instructions': 'Take the <b>I-78 E</b> exit on the <b>left</b> toward <b>I-95</b>/<b>Holland Tunnel</b>/<b>New York City</b>',\n",
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       "       'polyline': {'points': 'q_owF~xsdMd@[h@[d@Wf@Wx@g@|@k@XSTOTSNQNSNSLSNUJSN_@N]FU?A@CPs@DWBIF_@BYB_@BY@[?[@[Ai@Cm@Cs@G_AESAMCSWgC_@{DUeCOgBIkAGy@Cs@Ek@AOAGAGGS'},\n",
       "       'start_location': {'lat': 40.7143282, 'lng': -74.3260805},\n",
       "       'travel_mode': 'DRIVING'},\n",
       "      {'distance': {'text': '1.1 mi', 'value': 1797},\n",
       "       'duration': {'text': '1 min', 'value': 59},\n",
       "       'end_location': {'lat': 40.71408280000001, 'lng': -74.29565149999999},\n",
       "       'html_instructions': 'Merge onto <b>I-78 Express E</b>/<b>Phillipsburg–Newark Expy</b>',\n",
       "       'maneuver': 'merge',\n",
       "       'polyline': {'points': 'ctnwFl_rdMImDG{AUgH[cKY{ICkAUqGOkE[kJ}Aid@Ai@CYEuAIsBKoDWcK'},\n",
       "       'start_location': {'lat': 40.7125031, 'lng': -74.3168677},\n",
       "       'travel_mode': 'DRIVING'},\n",
       "      {'distance': {'text': '7.8 mi', 'value': 12528},\n",
       "       'duration': {'text': '7 mins', 'value': 433},\n",
       "       'end_location': {'lat': 40.7085904, 'lng': -74.15809840000001},\n",
       "       'html_instructions': 'Keep <b>left</b> to stay on <b>I-78 Express E</b>/<b>Phillipsburg–Newark Expy</b><div style=\"font-size:0.9em\">Partial toll road</div>',\n",
       "       'maneuver': 'keep-left',\n",
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       "       'start_location': {'lat': 40.71408280000001, 'lng': -74.29565149999999},\n",
       "       'travel_mode': 'DRIVING'},\n",
       "      {'distance': {'text': '0.1 mi', 'value': 220},\n",
       "       'duration': {'text': '1 min', 'value': 21},\n",
       "       'end_location': {'lat': 40.7077749, 'lng': -74.1557198},\n",
       "       'html_instructions': '<b>I-78 Express E</b>/<b>Phillipsburg–Newark Expy</b> turns <b>left</b> and becomes <b>I-78 E</b>/<b>Phillipsburg–Newark Expy</b><div style=\"font-size:0.9em\">Toll road</div>',\n",
       "       'polyline': {'points': 'u{mwFb_scMLc@|AoGZsAFWDQDSFU'},\n",
       "       'start_location': {'lat': 40.7085904, 'lng': -74.15809840000001},\n",
       "       'travel_mode': 'DRIVING'},\n",
       "      {'distance': {'text': '3.2 mi', 'value': 5204},\n",
       "       'duration': {'text': '4 mins', 'value': 222},\n",
       "       'end_location': {'lat': 40.6880313, 'lng': -74.1001816},\n",
       "       'html_instructions': 'Keep <b>left</b> to stay on <b>I-78 E</b><div style=\"font-size:0.9em\">Toll road</div>',\n",
       "       'maneuver': 'keep-left',\n",
       "       'polyline': {'points': 'qvmwFfprcMBYBUDYBQBSLe@VgANu@^aBH]\\\\}AViAPw@Le@Ps@VgAJe@T}@TaANk@Py@FSBMBKPq@@I@E@EBKHUBGFIf@oB`@_BJ[r@cCDMBIRo@Rq@L]`@kAf@uA~@gCv@wB`BsE|@{C`@uAr@yCBOpAiF?AxAiG~@gEXsADORaA@CP{@f@{Bf@eCnAeG`@sBd@sBZ}ARaAf@cCf@_Cf@}BLo@VkA^eBVmAp@aDl@sCXsA\\\\aBZ{Ad@wBVkAb@qBP}@R_AtCeNrByJTqAXoA|Nys@Lo@?A@A?CF[@A?C?ABKR_A|@mE^eBHe@@ENm@@GNs@XyA~@}Ej@cCl@yB?A@?FQ?AXy@DMd@iAXq@Xm@`@w@b@s@`@q@FGFG^g@fB{BLSv@eA^i@JOj@w@BCd@m@'},\n",
       "       'start_location': {'lat': 40.7077749, 'lng': -74.1557198},\n",
       "       'travel_mode': 'DRIVING'},\n",
       "      {'distance': {'text': '7.1 mi', 'value': 11384},\n",
       "       'duration': {'text': '12 mins', 'value': 746},\n",
       "       'end_location': {'lat': 40.7216566, 'lng': -74.0069291},\n",
       "       'html_instructions': 'Keep <b>left</b> to stay on <b>I-78 E</b><div style=\"font-size:0.9em\">Partial toll road</div><div style=\"font-size:0.9em\">Entering New York</div>',\n",
       "       'maneuver': 'keep-left',\n",
       "       'polyline': {'points': 'e{iwFbugcM\\\\e@jAyAbAsAJQ\\\\i@@A@Ad@{@Rc@Zu@\\\\cAXgAP}@F_@PqABSHcADs@@Y@U@G?O?K@o@?m@?eAGuA?G?CAOAYACAQEc@WaCCK?EEQSkAI_@Ga@Kc@Ka@I_@I]I]CIMk@e@yASk@Qi@a@eAUk@IOw@eB}@iBy@{A{A}BoAgBq@w@o@w@Y[kAiAc@e@aA_AgAkAsAsAaAaAwByBkAkAg@g@kAkASSKMg@g@ACSQ}@}@_AaAi@i@[[o@q@qAwAy@cAY_@a@k@w@oAS]k@aAg@eA]o@i@gAa@cASi@]}@[_Ae@yAkAwEwAgHsAuGi@yBCI{@oCQk@c@eAWw@g@_AaAqBo@gAAAMSoBoCUYSWm@o@o@o@SSUUc@a@SS[[q@o@e@g@eBcBe@e@c@e@g@g@k@o@}@wAS[CEGKMWOYYo@gAeC_A_CWi@k@uAYk@Ug@o@sAeAkBsBgFm@wAm@uA{CaIMYQ]M[Q]Q]S[SYSYSWSUYWUS[UUQWQYMYM]OUIa@OYI[G[IYE]E[EYC[C[AY?S?O?S@]@YD[D]HYHYHYJ[LYLyAz@YLw@`@eAd@[NYLWJYNYHc@NWFYFYFYD[D[DW@[@[@[?YA_@?WAYA[A[Ca@EQC]EWC[Ge@IOC[G_@Ic@MYGUGi@Oo@Om@Og@Ms@Qs@QgFqAoBi@WG[I[IWGs@QcCm@qDy@{Aa@qA]mA[mA[}Bk@o@Oe@KiA[k@Oi@OoAc@q@Wq@]iAw@IGIGIKIKEECCIMIOIMGMEMM_@IYGc@E[Ge@Ce@Aw@@w@@m@BkCBaA@]@W?Q?EPaEPyD?Q@M@OB[@UDg@?y@@YBSHwA@_@FkA?AJwB?K@WLoDHyA@U@Q@KBW@MD[Da@BWDk@BY@YDs@Be@?OFkAHqBFoA@w@BgA?M?MA{@?m@?[?SBa@@YD_@BWBQjBoLDWh@sC\\\\mBL{@Fs@BUBqC`A{XbJgeAHy@FkAp@_ODk@Hi@He@Ro@Tw@L[@CDMVg@\\\\g@tCoET_@\\\\k@h@u@v@kAj@}@n@eAJSJUtCsEFGDIDEFCFEHCJAHAL?J@L@H@HBJBHDFFFFFHFHDJBN'},\n",
       "       'start_location': {'lat': 40.6880313, 'lng': -74.1001816},\n",
       "       'travel_mode': 'DRIVING'},\n",
       "      {'distance': {'text': '0.1 mi', 'value': 211},\n",
       "       'duration': {'text': '1 min', 'value': 28},\n",
       "       'end_location': {'lat': 40.7208699, 'lng': -74.00720799999999},\n",
       "       'html_instructions': 'Continue onto <b>Holland Tunnel</b>',\n",
       "       'polyline': {'points': 'kmpwFhnubMBL@J@@?J?L?l@?L@H?HBJBJBJFJFFFFDDHBFBF@F@HAF?HCDCDCFEFGDEDIBG@GBG@M@K@KAK?IAGCKCK'},\n",
       "       'start_location': {'lat': 40.7216566, 'lng': -74.0069291},\n",
       "       'travel_mode': 'DRIVING'},\n",
       "      {'distance': {'text': '226 ft', 'value': 69},\n",
       "       'duration': {'text': '1 min', 'value': 16},\n",
       "       'end_location': {'lat': 40.7211067, 'lng': -74.00656699999999},\n",
       "       'html_instructions': 'Keep <b>right</b> at the fork to continue on <b>Exit 4</b>, follow signs for <b>Downtown</b>',\n",
       "       'maneuver': 'fork-right',\n",
       "       'polyline': {'points': 'mhpwF`pubM?UAGAGCGGEGGIEECCECECEAC?G?G?E@E@C@C'},\n",
       "       'start_location': {'lat': 40.7208699, 'lng': -74.00720799999999},\n",
       "       'travel_mode': 'DRIVING'},\n",
       "      {'distance': {'text': '0.2 mi', 'value': 316},\n",
       "       'duration': {'text': '1 min', 'value': 76},\n",
       "       'end_location': {'lat': 40.718295, 'lng': -74.00711489999999},\n",
       "       'html_instructions': 'Turn <b>right</b> onto <b>Varick St</b>',\n",
       "       'maneuver': 'turn-right',\n",
       "       'polyline': {'points': '}ipwF`lubMpBPPDNDfALVBT?xBTHBbD`@'},\n",
       "       'start_location': {'lat': 40.7211067, 'lng': -74.00656699999999},\n",
       "       'travel_mode': 'DRIVING'},\n",
       "      {'distance': {'text': '0.2 mi', 'value': 358},\n",
       "       'duration': {'text': '1 min', 'value': 86},\n",
       "       'end_location': {'lat': 40.7155081, 'lng': -74.0092162},\n",
       "       'html_instructions': 'Slight <b>right</b> onto <b>W Broadway</b>',\n",
       "       'maneuver': 'turn-slight-right',\n",
       "       'polyline': {'points': 'kxowFloubMLApBxAhBpAhBrAvAbAZRn@d@t@h@'},\n",
       "       'start_location': {'lat': 40.718295, 'lng': -74.00711489999999},\n",
       "       'travel_mode': 'DRIVING'},\n",
       "      {'distance': {'text': '0.3 mi', 'value': 507},\n",
       "       'duration': {'text': '3 mins', 'value': 184},\n",
       "       'end_location': {'lat': 40.7131383, 'lng': -74.0040745},\n",
       "       'html_instructions': 'Turn <b>left</b> onto <b>Chambers St</b>',\n",
       "       'maneuver': 'turn-left',\n",
       "       'polyline': {'points': '}fowFr|ubMpB{FvCkIn@_BzAgE^cAb@qA'},\n",
       "       'start_location': {'lat': 40.7155081, 'lng': -74.0092162},\n",
       "       'travel_mode': 'DRIVING'},\n",
       "      {'distance': {'text': '0.1 mi', 'value': 181},\n",
       "       'duration': {'text': '1 min', 'value': 57},\n",
       "       'end_location': {'lat': 40.7121262, 'lng': -74.0056991},\n",
       "       'html_instructions': 'Turn <b>right</b> onto <b>Centre St</b>',\n",
       "       'maneuver': 'turn-right',\n",
       "       'polyline': {'points': 'cxnwFl|tbMb@b@NXDDHJ\\\\XHJDFDDBDFLB@FLJXFLHXFVFZJf@'},\n",
       "       'start_location': {'lat': 40.7131383, 'lng': -74.0040745},\n",
       "       'travel_mode': 'DRIVING'},\n",
       "      {'distance': {'text': '200 ft', 'value': 61},\n",
       "       'duration': {'text': '1 min', 'value': 31},\n",
       "       'end_location': {'lat': 40.712477, 'lng': -74.0062258},\n",
       "       'html_instructions': 'Turn <b>right</b> onto <b>Steve Flanders Square</b><div style=\"font-size:0.9em\">Restricted usage road</div>',\n",
       "       'maneuver': 'turn-right',\n",
       "       'polyline': {'points': 'yqnwFrfubMMFA?C@A@A@A??@?@k@vA'},\n",
       "       'start_location': {'lat': 40.7121262, 'lng': -74.0056991},\n",
       "       'travel_mode': 'DRIVING'}],\n",
       "     'traffic_speed_entry': [],\n",
       "     'via_waypoint': []}],\n",
       "   'overview_polyline': {'points': 'am~wFz`fzMin@kk@}f@c~Ama@a{@wn@tp@of@~^_n@u`@so@sn@kJkz@}o@sfBciAezAew@kw@}h@soAc[{mC}^}x@eb@pI{rA~_@mtAtFsn@kUkeAa|@{RgP{IafAaKobAcfAsaDcmAa_GixA{oBupA{_A}oBc|C{`AmfEi^ipFuk@eyChJs}@aLmx@ea@cxAuzAupC{t@yuBzBe|@jj@as@sDqtCpu@ulBn^q{A{F{vCoiAshO_MsjAbMiYjg@o[hGqd@lIauAdDuwBpAirBrO__@~f@w]zD{g@gl@waDsZszAym@csAac@i~@g]ojCu\\\\saFnDg|F{O}tFxr@qnCz`AizBda@cgAfF_aE`l@_oDh\\\\kk@t`BclA|{@uqA~lAaoEvu@}_AlUioA~Qm~AgQw}DuOetDoa@yjAsM{cBsOq{EdG{sAmV_aBkKizB`B{sAeVkvDujAkhEic@_`EnRykCusAg_I`M{~Bzg@mtAruBisEqNmyA~Xo_BT}dCck@gmFuTuxD~I}\\\\blA_f@rH_`@_KakBwz@cqBwKa`Awn@grA}To~Cuv@izCmq@qxEcXgrAsHqkAmJ_aDef@scEc@qqF_RojCti@_vAlN_lAaZidEvBkyB`HygBgT_fBiKoaAnYecCuCyy@ev@}yAimA_jFq]qzFhZasAaHg~@zOev@`GyyGqJ}uChGikBh[uwAoKywB|SqoEnHswFz_@edCvBumAeEy_BxQilB`]y~@rVqa@xx@kTvaCuu@dhA{u@zrBmkGhp@cbFxc@wwBkf@_y@_oAshE~@yaAdu@{b@nnBes@w@o|@lb@{VnnAaRjh@sb@nz@s`@dh@ci@dR_fA}Ou`Ahl@olA}UkoBaf@_mByNurBpQugBfSiuBvW}gARkqEk`@ooDvO}`BdZyaA`GefBtOweB`IgwAzCy}Awd@yhA}I_iA|o@}`AlGsmApRof@S}_AvUcqBvu@cz@hr@}q@tHmxDkLmoDov@_eEok@avChAwwAwSgzLhKcw@r|@yvA~r@qq@j_@e_A`x@_Vxj@sl@dVwtCrJ}`BnReHdjErfCfgA~Vf]hUj|Am`Aji@skApqBkcC~k@oOvq@__Bb{@wzAri@uI|R_j@lh@ouAbdAqaBdk@uv@Icl@_KyuDza@}nDfTovAsD}aAgr@cmAuKa`A~n@o}BoKsvAbLk{B|rBuxInYik@}Ci]io@{z@gg@cnAmeAwyAqeAD{l@gVnB{v@tEko@rSgkChSe\\\\lEzE~B_Dhd@bEnNoRCtG'},\n",
       "   'summary': 'I-80 E',\n",
       "   'warnings': [],\n",
       "   'waypoint_order': []}],\n",
       " 'status': 'OK'}"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "route"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "14303"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "main.parse(route)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {},
   "outputs": [],
   "source": [
    "series = pd.Series([np.nan for x in range(len(df_full))])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "series[0] = 0\n",
    "series[len(series)-1] = 14303"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [],
   "source": [
    "series = series.interpolate()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "series = series/3600"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0      0\n",
       "1      0\n",
       "2      0\n",
       "3      0\n",
       "4      0\n",
       "5      0\n",
       "6      0\n",
       "7      0\n",
       "8      0\n",
       "9      0\n",
       "10     0\n",
       "11     0\n",
       "12     0\n",
       "13     0\n",
       "14     0\n",
       "15     0\n",
       "16     0\n",
       "17     0\n",
       "18     0\n",
       "19     0\n",
       "20     0\n",
       "21     0\n",
       "22     0\n",
       "23     0\n",
       "24     0\n",
       "25     0\n",
       "26     0\n",
       "27     0\n",
       "28     0\n",
       "29     0\n",
       "      ..\n",
       "208    3\n",
       "209    3\n",
       "210    3\n",
       "211    3\n",
       "212    3\n",
       "213    3\n",
       "214    3\n",
       "215    3\n",
       "216    3\n",
       "217    3\n",
       "218    3\n",
       "219    3\n",
       "220    3\n",
       "221    3\n",
       "222    3\n",
       "223    3\n",
       "224    3\n",
       "225    3\n",
       "226    3\n",
       "227    3\n",
       "228    3\n",
       "229    3\n",
       "230    3\n",
       "231    3\n",
       "232    3\n",
       "233    3\n",
       "234    3\n",
       "235    3\n",
       "236    3\n",
       "237    3\n",
       "Length: 238, dtype: int64"
      ]
     },
     "execution_count": 53,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "series.apply(int)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "14303"
      ]
     },
     "execution_count": 55,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "main.parse(route)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_full = main.fetch_coords(\"State College, PA\", \"New York\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>lat</th>\n",
       "      <th>lon</th>\n",
       "      <th>Key</th>\n",
       "      <th>EnglishName</th>\n",
       "      <th>time_offset</th>\n",
       "    </tr>\n",
       "  </thead>\n",
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       "      <th>0</th>\n",
       "      <td>40.79329</td>\n",
       "      <td>-77.86014</td>\n",
       "      <td>335315</td>\n",
       "      <td>State College</td>\n",
       "      <td>0</td>\n",
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       "      <td>40.80086</td>\n",
       "      <td>-77.85304</td>\n",
       "      <td>335315</td>\n",
       "      <td>State College</td>\n",
       "      <td>0</td>\n",
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       "      <td>40.80725</td>\n",
       "      <td>-77.83782</td>\n",
       "      <td>335315</td>\n",
       "      <td>State College</td>\n",
       "      <td>0</td>\n",
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       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>40.81276</td>\n",
       "      <td>-77.82821</td>\n",
       "      <td>2155957</td>\n",
       "      <td>Lemont</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>40.82040</td>\n",
       "      <td>-77.83616</td>\n",
       "      <td>2242273</td>\n",
       "      <td>Houserville</td>\n",
       "      <td>0</td>\n",
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       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>40.82672</td>\n",
       "      <td>-77.84128</td>\n",
       "      <td>2242273</td>\n",
       "      <td>Houserville</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>40.83424</td>\n",
       "      <td>-77.83589</td>\n",
       "      <td>2242273</td>\n",
       "      <td>Houserville</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>40.84202</td>\n",
       "      <td>-77.82827</td>\n",
       "      <td>2242273</td>\n",
       "      <td>Houserville</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>40.84384</td>\n",
       "      <td>-77.81877</td>\n",
       "      <td>2242273</td>\n",
       "      <td>Houserville</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>40.85167</td>\n",
       "      <td>-77.80219</td>\n",
       "      <td>2242273</td>\n",
       "      <td>Houserville</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>40.86353</td>\n",
       "      <td>-77.78760</td>\n",
       "      <td>2097870</td>\n",
       "      <td>Pleasant Gap</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>40.87252</td>\n",
       "      <td>-77.77858</td>\n",
       "      <td>2097870</td>\n",
       "      <td>Pleasant Gap</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>40.87923</td>\n",
       "      <td>-77.76568</td>\n",
       "      <td>2097870</td>\n",
       "      <td>Pleasant Gap</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>40.88373</td>\n",
       "      <td>-77.74282</td>\n",
       "      <td>2097870</td>\n",
       "      <td>Pleasant Gap</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>40.88884</td>\n",
       "      <td>-77.73355</td>\n",
       "      <td>2097870</td>\n",
       "      <td>Pleasant Gap</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>40.89447</td>\n",
       "      <td>-77.73524</td>\n",
       "      <td>2097870</td>\n",
       "      <td>Pleasant Gap</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>40.90789</td>\n",
       "      <td>-77.74052</td>\n",
       "      <td>335318</td>\n",
       "      <td>Bellefonte</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>40.92156</td>\n",
       "      <td>-77.74175</td>\n",
       "      <td>335318</td>\n",
       "      <td>Bellefonte</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>40.92918</td>\n",
       "      <td>-77.73817</td>\n",
       "      <td>335318</td>\n",
       "      <td>Bellefonte</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>40.94044</td>\n",
       "      <td>-77.72840</td>\n",
       "      <td>335318</td>\n",
       "      <td>Bellefonte</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>40.94362</td>\n",
       "      <td>-77.72564</td>\n",
       "      <td>335318</td>\n",
       "      <td>Bellefonte</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>40.94536</td>\n",
       "      <td>-77.71427</td>\n",
       "      <td>2129086</td>\n",
       "      <td>Zion</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>40.94729</td>\n",
       "      <td>-77.70347</td>\n",
       "      <td>2097228</td>\n",
       "      <td>Mingoville</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>40.95867</td>\n",
       "      <td>-77.67745</td>\n",
       "      <td>2097228</td>\n",
       "      <td>Mingoville</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>40.97117</td>\n",
       "      <td>-77.63648</td>\n",
       "      <td>2242382</td>\n",
       "      <td>Jacksonville</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>40.98546</td>\n",
       "      <td>-77.61842</td>\n",
       "      <td>2098506</td>\n",
       "      <td>Snydertown</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>40.99853</td>\n",
       "      <td>-77.60804</td>\n",
       "      <td>2098506</td>\n",
       "      <td>Snydertown</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>41.01660</td>\n",
       "      <td>-77.58290</td>\n",
       "      <td>2098506</td>\n",
       "      <td>Snydertown</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>41.02714</td>\n",
       "      <td>-77.55099</td>\n",
       "      <td>2181632</td>\n",
       "      <td>Lamar</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>41.03215</td>\n",
       "      <td>-77.51238</td>\n",
       "      <td>2181632</td>\n",
       "      <td>Lamar</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>208</th>\n",
       "      <td>40.73048</td>\n",
       "      <td>-74.34925</td>\n",
       "      <td>2195668</td>\n",
       "      <td>Summit</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>209</th>\n",
       "      <td>40.71942</td>\n",
       "      <td>-74.33348</td>\n",
       "      <td>2195668</td>\n",
       "      <td>Summit</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>210</th>\n",
       "      <td>40.71235</td>\n",
       "      <td>-74.32457</td>\n",
       "      <td>2195571</td>\n",
       "      <td>Short Hills</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>211</th>\n",
       "      <td>40.71240</td>\n",
       "      <td>-74.31735</td>\n",
       "      <td>2195571</td>\n",
       "      <td>Short Hills</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>212</th>\n",
       "      <td>40.71432</td>\n",
       "      <td>-74.28810</td>\n",
       "      <td>344428</td>\n",
       "      <td>Kenilworth</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>213</th>\n",
       "      <td>40.70874</td>\n",
       "      <td>-74.25995</td>\n",
       "      <td>344428</td>\n",
       "      <td>Kenilworth</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>214</th>\n",
       "      <td>40.70534</td>\n",
       "      <td>-74.24595</td>\n",
       "      <td>349530</td>\n",
       "      <td>Newark</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>215</th>\n",
       "      <td>40.70624</td>\n",
       "      <td>-74.23524</td>\n",
       "      <td>349530</td>\n",
       "      <td>Newark</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>216</th>\n",
       "      <td>40.71444</td>\n",
       "      <td>-74.22274</td>\n",
       "      <td>349530</td>\n",
       "      <td>Newark</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>217</th>\n",
       "      <td>40.71647</td>\n",
       "      <td>-74.21233</td>\n",
       "      <td>349530</td>\n",
       "      <td>Newark</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>218</th>\n",
       "      <td>40.70879</td>\n",
       "      <td>-74.19209</td>\n",
       "      <td>349530</td>\n",
       "      <td>Newark</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>219</th>\n",
       "      <td>40.71079</td>\n",
       "      <td>-74.17807</td>\n",
       "      <td>349530</td>\n",
       "      <td>Newark</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>220</th>\n",
       "      <td>40.70869</td>\n",
       "      <td>-74.15817</td>\n",
       "      <td>349530</td>\n",
       "      <td>Newark</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>221</th>\n",
       "      <td>40.69014</td>\n",
       "      <td>-74.10286</td>\n",
       "      <td>334508</td>\n",
       "      <td>Bayonne</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>222</th>\n",
       "      <td>40.68590</td>\n",
       "      <td>-74.09577</td>\n",
       "      <td>329548</td>\n",
       "      <td>Jersey City</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>223</th>\n",
       "      <td>40.68669</td>\n",
       "      <td>-74.09092</td>\n",
       "      <td>329548</td>\n",
       "      <td>Jersey City</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>224</th>\n",
       "      <td>40.69442</td>\n",
       "      <td>-74.08134</td>\n",
       "      <td>329548</td>\n",
       "      <td>Jersey City</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>225</th>\n",
       "      <td>40.70086</td>\n",
       "      <td>-74.06868</td>\n",
       "      <td>329548</td>\n",
       "      <td>Jersey City</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>226</th>\n",
       "      <td>40.71213</td>\n",
       "      <td>-74.05416</td>\n",
       "      <td>329548</td>\n",
       "      <td>Jersey City</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>227</th>\n",
       "      <td>40.72342</td>\n",
       "      <td>-74.05419</td>\n",
       "      <td>329548</td>\n",
       "      <td>Jersey City</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>228</th>\n",
       "      <td>40.73076</td>\n",
       "      <td>-74.05047</td>\n",
       "      <td>329548</td>\n",
       "      <td>Jersey City</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>229</th>\n",
       "      <td>40.73020</td>\n",
       "      <td>-74.04153</td>\n",
       "      <td>329548</td>\n",
       "      <td>Jersey City</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>230</th>\n",
       "      <td>40.72913</td>\n",
       "      <td>-74.03379</td>\n",
       "      <td>329548</td>\n",
       "      <td>Jersey City</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>231</th>\n",
       "      <td>40.72583</td>\n",
       "      <td>-74.01135</td>\n",
       "      <td>2171831</td>\n",
       "      <td>Tribeca</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>232</th>\n",
       "      <td>40.72258</td>\n",
       "      <td>-74.00668</td>\n",
       "      <td>2171831</td>\n",
       "      <td>Tribeca</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>233</th>\n",
       "      <td>40.72155</td>\n",
       "      <td>-74.00778</td>\n",
       "      <td>2171831</td>\n",
       "      <td>Tribeca</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>234</th>\n",
       "      <td>40.72091</td>\n",
       "      <td>-74.00698</td>\n",
       "      <td>2171831</td>\n",
       "      <td>Tribeca</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>235</th>\n",
       "      <td>40.71494</td>\n",
       "      <td>-74.00796</td>\n",
       "      <td>2171831</td>\n",
       "      <td>Tribeca</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>236</th>\n",
       "      <td>40.71246</td>\n",
       "      <td>-74.00484</td>\n",
       "      <td>2627449</td>\n",
       "      <td>Civic Center</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>237</th>\n",
       "      <td>40.71248</td>\n",
       "      <td>-74.00623</td>\n",
       "      <td>2627449</td>\n",
       "      <td>Civic Center</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>238 rows × 5 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "          lat       lon      Key    EnglishName  time_offset\n",
       "0    40.79329 -77.86014   335315  State College            0\n",
       "1    40.80086 -77.85304   335315  State College            0\n",
       "2    40.80725 -77.83782   335315  State College            0\n",
       "3    40.81276 -77.82821  2155957         Lemont            0\n",
       "4    40.82040 -77.83616  2242273    Houserville            0\n",
       "5    40.82672 -77.84128  2242273    Houserville            0\n",
       "6    40.83424 -77.83589  2242273    Houserville            0\n",
       "7    40.84202 -77.82827  2242273    Houserville            0\n",
       "8    40.84384 -77.81877  2242273    Houserville            0\n",
       "9    40.85167 -77.80219  2242273    Houserville            0\n",
       "10   40.86353 -77.78760  2097870   Pleasant Gap            0\n",
       "11   40.87252 -77.77858  2097870   Pleasant Gap            0\n",
       "12   40.87923 -77.76568  2097870   Pleasant Gap            0\n",
       "13   40.88373 -77.74282  2097870   Pleasant Gap            0\n",
       "14   40.88884 -77.73355  2097870   Pleasant Gap            0\n",
       "15   40.89447 -77.73524  2097870   Pleasant Gap            0\n",
       "16   40.90789 -77.74052   335318     Bellefonte            0\n",
       "17   40.92156 -77.74175   335318     Bellefonte            0\n",
       "18   40.92918 -77.73817   335318     Bellefonte            0\n",
       "19   40.94044 -77.72840   335318     Bellefonte            0\n",
       "20   40.94362 -77.72564   335318     Bellefonte            0\n",
       "21   40.94536 -77.71427  2129086           Zion            0\n",
       "22   40.94729 -77.70347  2097228     Mingoville            0\n",
       "23   40.95867 -77.67745  2097228     Mingoville            0\n",
       "24   40.97117 -77.63648  2242382   Jacksonville            0\n",
       "25   40.98546 -77.61842  2098506     Snydertown            0\n",
       "26   40.99853 -77.60804  2098506     Snydertown            0\n",
       "27   41.01660 -77.58290  2098506     Snydertown            0\n",
       "28   41.02714 -77.55099  2181632          Lamar            0\n",
       "29   41.03215 -77.51238  2181632          Lamar            0\n",
       "..        ...       ...      ...            ...          ...\n",
       "208  40.73048 -74.34925  2195668         Summit            3\n",
       "209  40.71942 -74.33348  2195668         Summit            3\n",
       "210  40.71235 -74.32457  2195571    Short Hills            3\n",
       "211  40.71240 -74.31735  2195571    Short Hills            3\n",
       "212  40.71432 -74.28810   344428     Kenilworth            3\n",
       "213  40.70874 -74.25995   344428     Kenilworth            3\n",
       "214  40.70534 -74.24595   349530         Newark            3\n",
       "215  40.70624 -74.23524   349530         Newark            3\n",
       "216  40.71444 -74.22274   349530         Newark            3\n",
       "217  40.71647 -74.21233   349530         Newark            3\n",
       "218  40.70879 -74.19209   349530         Newark            3\n",
       "219  40.71079 -74.17807   349530         Newark            3\n",
       "220  40.70869 -74.15817   349530         Newark            3\n",
       "221  40.69014 -74.10286   334508        Bayonne            3\n",
       "222  40.68590 -74.09577   329548    Jersey City            3\n",
       "223  40.68669 -74.09092   329548    Jersey City            3\n",
       "224  40.69442 -74.08134   329548    Jersey City            3\n",
       "225  40.70086 -74.06868   329548    Jersey City            3\n",
       "226  40.71213 -74.05416   329548    Jersey City            3\n",
       "227  40.72342 -74.05419   329548    Jersey City            3\n",
       "228  40.73076 -74.05047   329548    Jersey City            3\n",
       "229  40.73020 -74.04153   329548    Jersey City            3\n",
       "230  40.72913 -74.03379   329548    Jersey City            3\n",
       "231  40.72583 -74.01135  2171831        Tribeca            3\n",
       "232  40.72258 -74.00668  2171831        Tribeca            3\n",
       "233  40.72155 -74.00778  2171831        Tribeca            3\n",
       "234  40.72091 -74.00698  2171831        Tribeca            3\n",
       "235  40.71494 -74.00796  2171831        Tribeca            3\n",
       "236  40.71246 -74.00484  2627449   Civic Center            3\n",
       "237  40.71248 -74.00623  2627449   Civic Center            3\n",
       "\n",
       "[238 rows x 5 columns]"
      ]
     },
     "execution_count": 65,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_full"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "metadata": {
    "scrolled": false
   },
   "outputs": [],
   "source": [
    "weather = main.fetch_weather(335315)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'DateTime': '2017-11-05T12:00:00-05:00',\n",
       " 'EpochDateTime': 1509901200,\n",
       " 'IconPhrase': 'Rain',\n",
       " 'IsDaylight': True,\n",
       " 'Link': 'http://www.accuweather.com/en/us/state-college-pa/16801/hourly-weather-forecast/335315?day=1&hbhhour=12&lang=en-us',\n",
       " 'MobileLink': 'http://m.accuweather.com/en/us/state-college-pa/16801/hourly-weather-forecast/335315?day=1&lang=en-us',\n",
       " 'PrecipitationProbability': 54,\n",
       " 'Temperature': {'Unit': 'F', 'UnitType': 18, 'Value': 56.0},\n",
       " 'WeatherIcon': 18}"
      ]
     },
     "execution_count": 69,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "weather[1]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 74,
   "metadata": {},
   "outputs": [
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     "execution_count": 74,
     "metadata": {},
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   ],
   "source": [
    "list(df_full['time_offset'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 78,
   "metadata": {},
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    {
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      "                     DateTime  EpochDateTime     IconPhrase  IsDaylight  \\\n",
      "0   2017-11-05T11:00:00-05:00     1509897600         Cloudy        True   \n",
      "1   2017-11-05T11:00:00-05:00     1509897600           Rain        True   \n",
      "2   2017-11-05T11:00:00-05:00     1509897600           Rain        True   \n",
      "3   2017-11-05T11:00:00-05:00     1509897600         Cloudy        True   \n",
      "4   2017-11-05T11:00:00-05:00     1509897600  Thunderstorms        True   \n",
      "5   2017-11-05T11:00:00-05:00     1509897600         Cloudy        True   \n",
      "6   2017-11-05T11:00:00-05:00     1509897600         Cloudy        True   \n",
      "7   2017-11-05T11:00:00-05:00     1509897600         Cloudy        True   \n",
      "8   2017-11-05T11:00:00-05:00     1509897600         Cloudy        True   \n",
      "9   2017-11-05T11:00:00-05:00     1509897600         Cloudy        True   \n",
      "10  2017-11-05T11:00:00-05:00     1509897600         Cloudy        True   \n",
      "11  2017-11-05T11:00:00-05:00     1509897600           Rain        True   \n",
      "12  2017-11-05T11:00:00-05:00     1509897600           Rain        True   \n",
      "13  2017-11-05T11:00:00-05:00     1509897600           Rain        True   \n",
      "14  2017-11-05T11:00:00-05:00     1509897600         Cloudy        True   \n",
      "15  2017-11-05T11:00:00-05:00     1509897600         Cloudy        True   \n",
      "16  2017-11-05T11:00:00-05:00     1509897600         Cloudy        True   \n",
      "17  2017-11-05T11:00:00-05:00     1509897600         Cloudy        True   \n",
      "18  2017-11-05T11:00:00-05:00     1509897600         Cloudy        True   \n",
      "19  2017-11-05T11:00:00-05:00     1509897600         Cloudy        True   \n",
      "20  2017-11-05T11:00:00-05:00     1509897600         Cloudy        True   \n",
      "21  2017-11-05T11:00:00-05:00     1509897600         Cloudy        True   \n",
      "22  2017-11-05T11:00:00-05:00     1509897600         Cloudy        True   \n",
      "23  2017-11-05T11:00:00-05:00     1509897600         Cloudy        True   \n",
      "24  2017-11-05T11:00:00-05:00     1509897600         Cloudy        True   \n",
      "25  2017-11-05T11:00:00-05:00     1509897600         Cloudy        True   \n",
      "26  2017-11-05T11:00:00-05:00     1509897600         Cloudy        True   \n",
      "27  2017-11-05T11:00:00-05:00     1509897600         Cloudy        True   \n",
      "28  2017-11-05T11:00:00-05:00     1509897600         Cloudy        True   \n",
      "29  2017-11-05T11:00:00-05:00     1509897600         Cloudy        True   \n",
      "..                        ...            ...            ...         ...   \n",
      "41  2017-11-05T11:00:00-05:00     1509897600         Cloudy        True   \n",
      "42  2017-11-05T11:00:00-05:00     1509897600           Rain        True   \n",
      "43  2017-11-05T11:00:00-05:00     1509897600           Rain        True   \n",
      "44  2017-11-05T11:00:00-05:00     1509897600         Cloudy        True   \n",
      "45  2017-11-05T11:00:00-05:00     1509897600         Cloudy        True   \n",
      "46  2017-11-05T11:00:00-05:00     1509897600         Cloudy        True   \n",
      "47  2017-11-05T11:00:00-05:00     1509897600         Cloudy        True   \n",
      "48  2017-11-05T11:00:00-05:00     1509897600        Showers        True   \n",
      "49  2017-11-05T11:00:00-05:00     1509897600        Showers        True   \n",
      "50  2017-11-05T11:00:00-05:00     1509897600        Showers        True   \n",
      "51  2017-11-05T11:00:00-05:00     1509897600        Showers        True   \n",
      "52  2017-11-05T11:00:00-05:00     1509897600        Showers        True   \n",
      "53  2017-11-05T11:00:00-05:00     1509897600        Showers        True   \n",
      "54  2017-11-05T11:00:00-05:00     1509897600         Cloudy        True   \n",
      "55  2017-11-05T11:00:00-05:00     1509897600         Cloudy        True   \n",
      "56  2017-11-05T11:00:00-05:00     1509897600         Cloudy        True   \n",
      "57  2017-11-05T11:00:00-05:00     1509897600        Showers        True   \n",
      "58  2017-11-05T11:00:00-05:00     1509897600        Showers        True   \n",
      "59  2017-11-05T11:00:00-05:00     1509897600        Showers        True   \n",
      "60  2017-11-05T12:00:00-05:00     1509901200         Cloudy        True   \n",
      "61  2017-11-05T12:00:00-05:00     1509901200         Cloudy        True   \n",
      "62  2017-11-05T12:00:00-05:00     1509901200         Cloudy        True   \n",
      "63  2017-11-05T12:00:00-05:00     1509901200         Cloudy        True   \n",
      "64  2017-11-05T12:00:00-05:00     1509901200         Cloudy        True   \n",
      "65  2017-11-05T12:00:00-05:00     1509901200         Cloudy        True   \n",
      "66  2017-11-05T12:00:00-05:00     1509901200         Cloudy        True   \n",
      "67  2017-11-05T12:00:00-05:00     1509901200        Showers        True   \n",
      "68  2017-11-05T12:00:00-05:00     1509901200        Showers        True   \n",
      "69  2017-11-05T12:00:00-05:00     1509901200        Showers        True   \n",
      "70  2017-11-05T12:00:00-05:00     1509901200        Showers        True   \n",
      "\n",
      "                                                 Link  \\\n",
      "0   http://www.accuweather.com/en/us/state-college...   \n",
      "1   http://www.accuweather.com/en/us/lemont-pa/168...   \n",
      "2   http://www.accuweather.com/en/us/houserville-p...   \n",
      "3   http://www.accuweather.com/en/us/pleasant-gap-...   \n",
      "4   http://www.accuweather.com/en/us/bellefonte-pa...   \n",
      "5   http://www.accuweather.com/en/us/zion-pa/16823...   \n",
      "6   http://www.accuweather.com/en/us/mingoville-pa...   \n",
      "7   http://www.accuweather.com/en/us/jacksonville-...   \n",
      "8   http://www.accuweather.com/en/us/snydertown-pa...   \n",
      "9   http://www.accuweather.com/en/us/lamar-pa/1775...   \n",
      "10  http://www.accuweather.com/en/us/rote-pa/17751...   \n",
      "11  http://www.accuweather.com/en/us/loganton-pa/1...   \n",
      "12  http://www.accuweather.com/en/us/rauchtown-pa/...   \n",
      "13  http://www.accuweather.com/en/us/oval-pa/17740...   \n",
      "14  http://www.accuweather.com/en/us/allenwood-pa/...   \n",
      "15  http://www.accuweather.com/en/us/new-columbia-...   \n",
      "16  http://www.accuweather.com/en/us/milton-pa/178...   \n",
      "17  http://www.accuweather.com/en/us/riverside-pa/...   \n",
      "18  http://www.accuweather.com/en/us/danville-pa/1...   \n",
      "19  http://www.accuweather.com/en/us/buckhorn-pa/1...   \n",
      "20  http://www.accuweather.com/en/us/bloomsburg-pa...   \n",
      "21  http://www.accuweather.com/en/us/lightstreet-p...   \n",
      "22  http://www.accuweather.com/en/us/espy-pa/17815...   \n",
      "23  http://www.accuweather.com/en/us/lime-ridge-pa...   \n",
      "24  http://www.accuweather.com/en/us/mifflinville-...   \n",
      "25  http://www.accuweather.com/en/us/berwick-pa/18...   \n",
      "26  http://www.accuweather.com/en/us/nescopeck-pa/...   \n",
      "27  http://www.accuweather.com/en/us/weston-pa/182...   \n",
      "28  http://www.accuweather.com/en/us/conyngham-pa/...   \n",
      "29  http://www.accuweather.com/en/us/beech-mountai...   \n",
      "..                                                ...   \n",
      "41  http://www.accuweather.com/en/us/delaware-wate...   \n",
      "42  http://www.accuweather.com/en/us/portland-pa/1...   \n",
      "43  http://www.accuweather.com/en/us/columbia-nj/0...   \n",
      "44  http://www.accuweather.com/en/us/hainesburg-nj...   \n",
      "45  http://www.accuweather.com/en/us/mount-hermon-...   \n",
      "46  http://www.accuweather.com/en/us/silver-lake-n...   \n",
      "47  http://www.accuweather.com/en/us/hope-nj/07825...   \n",
      "48  http://www.accuweather.com/en/us/panther-valle...   \n",
      "49  http://www.accuweather.com/en/us/allamuchy-nj/...   \n",
      "50  http://www.accuweather.com/en/us/stanhope-nj/0...   \n",
      "51  http://www.accuweather.com/en/us/budd-lake-nj/...   \n",
      "52  http://www.accuweather.com/en/us/netcong-nj/07...   \n",
      "53  http://www.accuweather.com/en/us/mount-arlingt...   \n",
      "54  http://www.accuweather.com/en/us/wharton-nj/07...   \n",
      "55  http://www.accuweather.com/en/us/white-meadow-...   \n",
      "56  http://www.accuweather.com/en/us/rockaway-nj/0...   \n",
      "57  http://www.accuweather.com/en/us/mountain-lake...   \n",
      "58  http://www.accuweather.com/en/us/morris-plains...   \n",
      "59  http://www.accuweather.com/en/us/morristown-nj...   \n",
      "60  http://www.accuweather.com/en/us/florham-park-...   \n",
      "61  http://www.accuweather.com/en/us/madison-nj/07...   \n",
      "62  http://www.accuweather.com/en/us/chatham-nj/07...   \n",
      "63  http://www.accuweather.com/en/us/short-hills-n...   \n",
      "64  http://www.accuweather.com/en/us/summit-nj/079...   \n",
      "65  http://www.accuweather.com/en/us/kenilworth-nj...   \n",
      "66  http://www.accuweather.com/en/us/newark-nj/071...   \n",
      "67  http://www.accuweather.com/en/us/bayonne-nj/07...   \n",
      "68  http://www.accuweather.com/en/us/jersey-city-n...   \n",
      "69  http://www.accuweather.com/en/us/tribeca-ny/10...   \n",
      "70  http://www.accuweather.com/en/us/civic-center-...   \n",
      "\n",
      "                                           MobileLink  \\\n",
      "0   http://m.accuweather.com/en/us/state-college-p...   \n",
      "1   http://m.accuweather.com/en/us/lemont-pa/16851...   \n",
      "2   http://m.accuweather.com/en/us/houserville-pa/...   \n",
      "3   http://m.accuweather.com/en/us/pleasant-gap-pa...   \n",
      "4   http://m.accuweather.com/en/us/bellefonte-pa/1...   \n",
      "5   http://m.accuweather.com/en/us/zion-pa/16823/h...   \n",
      "6   http://m.accuweather.com/en/us/mingoville-pa/1...   \n",
      "7   http://m.accuweather.com/en/us/jacksonville-pa...   \n",
      "8   http://m.accuweather.com/en/us/snydertown-pa/1...   \n",
      "9   http://m.accuweather.com/en/us/lamar-pa/17751/...   \n",
      "10  http://m.accuweather.com/en/us/rote-pa/17751/h...   \n",
      "11  http://m.accuweather.com/en/us/loganton-pa/177...   \n",
      "12  http://m.accuweather.com/en/us/rauchtown-pa/17...   \n",
      "13  http://m.accuweather.com/en/us/oval-pa/17740/h...   \n",
      "14  http://m.accuweather.com/en/us/allenwood-pa/17...   \n",
      "15  http://m.accuweather.com/en/us/new-columbia-pa...   \n",
      "16  http://m.accuweather.com/en/us/milton-pa/17847...   \n",
      "17  http://m.accuweather.com/en/us/riverside-pa/17...   \n",
      "18  http://m.accuweather.com/en/us/danville-pa/178...   \n",
      "19  http://m.accuweather.com/en/us/buckhorn-pa/178...   \n",
      "20  http://m.accuweather.com/en/us/bloomsburg-pa/1...   \n",
      "21  http://m.accuweather.com/en/us/lightstreet-pa/...   \n",
      "22  http://m.accuweather.com/en/us/espy-pa/17815/h...   \n",
      "23  http://m.accuweather.com/en/us/lime-ridge-pa/1...   \n",
      "24  http://m.accuweather.com/en/us/mifflinville-pa...   \n",
      "25  http://m.accuweather.com/en/us/berwick-pa/1860...   \n",
      "26  http://m.accuweather.com/en/us/nescopeck-pa/18...   \n",
      "27  http://m.accuweather.com/en/us/weston-pa/18249...   \n",
      "28  http://m.accuweather.com/en/us/conyngham-pa/18...   \n",
      "29  http://m.accuweather.com/en/us/beech-mountain-...   \n",
      "..                                                ...   \n",
      "41  http://m.accuweather.com/en/us/delaware-water-...   \n",
      "42  http://m.accuweather.com/en/us/portland-pa/183...   \n",
      "43  http://m.accuweather.com/en/us/columbia-nj/078...   \n",
      "44  http://m.accuweather.com/en/us/hainesburg-nj/0...   \n",
      "45  http://m.accuweather.com/en/us/mount-hermon-nj...   \n",
      "46  http://m.accuweather.com/en/us/silver-lake-nj/...   \n",
      "47  http://m.accuweather.com/en/us/hope-nj/07825/h...   \n",
      "48  http://m.accuweather.com/en/us/panther-valley-...   \n",
      "49  http://m.accuweather.com/en/us/allamuchy-nj/07...   \n",
      "50  http://m.accuweather.com/en/us/stanhope-nj/078...   \n",
      "51  http://m.accuweather.com/en/us/budd-lake-nj/07...   \n",
      "52  http://m.accuweather.com/en/us/netcong-nj/0785...   \n",
      "53  http://m.accuweather.com/en/us/mount-arlington...   \n",
      "54  http://m.accuweather.com/en/us/wharton-nj/0788...   \n",
      "55  http://m.accuweather.com/en/us/white-meadow-la...   \n",
      "56  http://m.accuweather.com/en/us/rockaway-nj/078...   \n",
      "57  http://m.accuweather.com/en/us/mountain-lakes-...   \n",
      "58  http://m.accuweather.com/en/us/morris-plains-n...   \n",
      "59  http://m.accuweather.com/en/us/morristown-nj/0...   \n",
      "60  http://m.accuweather.com/en/us/florham-park-nj...   \n",
      "61  http://m.accuweather.com/en/us/madison-nj/0794...   \n",
      "62  http://m.accuweather.com/en/us/chatham-nj/0792...   \n",
      "63  http://m.accuweather.com/en/us/short-hills-nj/...   \n",
      "64  http://m.accuweather.com/en/us/summit-nj/07901...   \n",
      "65  http://m.accuweather.com/en/us/kenilworth-nj/0...   \n",
      "66  http://m.accuweather.com/en/us/newark-nj/07102...   \n",
      "67  http://m.accuweather.com/en/us/bayonne-nj/0700...   \n",
      "68  http://m.accuweather.com/en/us/jersey-city-nj/...   \n",
      "69  http://m.accuweather.com/en/us/tribeca-ny/1000...   \n",
      "70  http://m.accuweather.com/en/us/civic-center-ny...   \n",
      "\n",
      "    PrecipitationProbability                                   Temperature  \\\n",
      "0                         49  {'Value': 54.0, 'Unit': 'F', 'UnitType': 18}   \n",
      "1                         68  {'Value': 53.0, 'Unit': 'F', 'UnitType': 18}   \n",
      "2                         67  {'Value': 53.0, 'Unit': 'F', 'UnitType': 18}   \n",
      "3                         49  {'Value': 54.0, 'Unit': 'F', 'UnitType': 18}   \n",
      "4                         51  {'Value': 55.0, 'Unit': 'F', 'UnitType': 18}   \n",
      "5                         49  {'Value': 53.0, 'Unit': 'F', 'UnitType': 18}   \n",
      "6                         49  {'Value': 53.0, 'Unit': 'F', 'UnitType': 18}   \n",
      "7                         49  {'Value': 56.0, 'Unit': 'F', 'UnitType': 18}   \n",
      "8                         49  {'Value': 56.0, 'Unit': 'F', 'UnitType': 18}   \n",
      "9                         49  {'Value': 56.0, 'Unit': 'F', 'UnitType': 18}   \n",
      "10                        49  {'Value': 55.0, 'Unit': 'F', 'UnitType': 18}   \n",
      "11                        68  {'Value': 55.0, 'Unit': 'F', 'UnitType': 18}   \n",
      "12                        68  {'Value': 55.0, 'Unit': 'F', 'UnitType': 18}   \n",
      "13                        68  {'Value': 55.0, 'Unit': 'F', 'UnitType': 18}   \n",
      "14                        47  {'Value': 57.0, 'Unit': 'F', 'UnitType': 18}   \n",
      "15                        47  {'Value': 57.0, 'Unit': 'F', 'UnitType': 18}   \n",
      "16                        47  {'Value': 57.0, 'Unit': 'F', 'UnitType': 18}   \n",
      "17                        47  {'Value': 57.0, 'Unit': 'F', 'UnitType': 18}   \n",
      "18                        47  {'Value': 57.0, 'Unit': 'F', 'UnitType': 18}   \n",
      "19                        47  {'Value': 57.0, 'Unit': 'F', 'UnitType': 18}   \n",
      "20                        47  {'Value': 57.0, 'Unit': 'F', 'UnitType': 18}   \n",
      "21                        47  {'Value': 57.0, 'Unit': 'F', 'UnitType': 18}   \n",
      "22                        47  {'Value': 57.0, 'Unit': 'F', 'UnitType': 18}   \n",
      "23                        37  {'Value': 57.0, 'Unit': 'F', 'UnitType': 18}   \n",
      "24                        37  {'Value': 57.0, 'Unit': 'F', 'UnitType': 18}   \n",
      "25                        37  {'Value': 57.0, 'Unit': 'F', 'UnitType': 18}   \n",
      "26                        37  {'Value': 57.0, 'Unit': 'F', 'UnitType': 18}   \n",
      "27                        37  {'Value': 55.0, 'Unit': 'F', 'UnitType': 18}   \n",
      "28                        34  {'Value': 53.0, 'Unit': 'F', 'UnitType': 18}   \n",
      "29                        34  {'Value': 53.0, 'Unit': 'F', 'UnitType': 18}   \n",
      "..                       ...                                           ...   \n",
      "41                        47  {'Value': 54.0, 'Unit': 'F', 'UnitType': 18}   \n",
      "42                        52  {'Value': 57.0, 'Unit': 'F', 'UnitType': 18}   \n",
      "43                        52  {'Value': 57.0, 'Unit': 'F', 'UnitType': 18}   \n",
      "44                        37  {'Value': 56.0, 'Unit': 'F', 'UnitType': 18}   \n",
      "45                        37  {'Value': 56.0, 'Unit': 'F', 'UnitType': 18}   \n",
      "46                        37  {'Value': 56.0, 'Unit': 'F', 'UnitType': 18}   \n",
      "47                        37  {'Value': 56.0, 'Unit': 'F', 'UnitType': 18}   \n",
      "48                        46  {'Value': 57.0, 'Unit': 'F', 'UnitType': 18}   \n",
      "49                        46  {'Value': 57.0, 'Unit': 'F', 'UnitType': 18}   \n",
      "50                        40  {'Value': 55.0, 'Unit': 'F', 'UnitType': 18}   \n",
      "51                        40  {'Value': 55.0, 'Unit': 'F', 'UnitType': 18}   \n",
      "52                        40  {'Value': 55.0, 'Unit': 'F', 'UnitType': 18}   \n",
      "53                        40  {'Value': 55.0, 'Unit': 'F', 'UnitType': 18}   \n",
      "54                        37  {'Value': 56.0, 'Unit': 'F', 'UnitType': 18}   \n",
      "55                        37  {'Value': 56.0, 'Unit': 'F', 'UnitType': 18}   \n",
      "56                        37  {'Value': 56.0, 'Unit': 'F', 'UnitType': 18}   \n",
      "57                        40  {'Value': 57.0, 'Unit': 'F', 'UnitType': 18}   \n",
      "58                        40  {'Value': 57.0, 'Unit': 'F', 'UnitType': 18}   \n",
      "59                        40  {'Value': 57.0, 'Unit': 'F', 'UnitType': 18}   \n",
      "60                        33  {'Value': 59.0, 'Unit': 'F', 'UnitType': 18}   \n",
      "61                        33  {'Value': 59.0, 'Unit': 'F', 'UnitType': 18}   \n",
      "62                        33  {'Value': 60.0, 'Unit': 'F', 'UnitType': 18}   \n",
      "63                        33  {'Value': 59.0, 'Unit': 'F', 'UnitType': 18}   \n",
      "64                        33  {'Value': 60.0, 'Unit': 'F', 'UnitType': 18}   \n",
      "65                        37  {'Value': 59.0, 'Unit': 'F', 'UnitType': 18}   \n",
      "66                        34  {'Value': 60.0, 'Unit': 'F', 'UnitType': 18}   \n",
      "67                        40  {'Value': 61.0, 'Unit': 'F', 'UnitType': 18}   \n",
      "68                        40  {'Value': 61.0, 'Unit': 'F', 'UnitType': 18}   \n",
      "69                        40  {'Value': 60.0, 'Unit': 'F', 'UnitType': 18}   \n",
      "70                        40  {'Value': 60.0, 'Unit': 'F', 'UnitType': 18}   \n",
      "\n",
      "    WeatherIcon  \n",
      "0             7  \n",
      "1            18  \n",
      "2            18  \n",
      "3             7  \n",
      "4            15  \n",
      "5             7  \n",
      "6             7  \n",
      "7             7  \n",
      "8             7  \n",
      "9             7  \n",
      "10            7  \n",
      "11           18  \n",
      "12           18  \n",
      "13           18  \n",
      "14            7  \n",
      "15            7  \n",
      "16            7  \n",
      "17            7  \n",
      "18            7  \n",
      "19            7  \n",
      "20            7  \n",
      "21            7  \n",
      "22            7  \n",
      "23            7  \n",
      "24            7  \n",
      "25            7  \n",
      "26            7  \n",
      "27            7  \n",
      "28            7  \n",
      "29            7  \n",
      "..          ...  \n",
      "41            7  \n",
      "42           18  \n",
      "43           18  \n",
      "44            7  \n",
      "45            7  \n",
      "46            7  \n",
      "47            7  \n",
      "48           12  \n",
      "49           12  \n",
      "50           12  \n",
      "51           12  \n",
      "52           12  \n",
      "53           12  \n",
      "54            7  \n",
      "55            7  \n",
      "56            7  \n",
      "57           12  \n",
      "58           12  \n",
      "59           12  \n",
      "60            7  \n",
      "61            7  \n",
      "62            7  \n",
      "63            7  \n",
      "64            7  \n",
      "65            7  \n",
      "66            7  \n",
      "67           12  \n",
      "68           12  \n",
      "69           12  \n",
      "70           12  \n",
      "\n",
      "[71 rows x 9 columns]\n"
     ]
    },
    {
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       "      <th></th>\n",
       "      <th>index</th>\n",
       "      <th>lat</th>\n",
       "      <th>lon</th>\n",
       "      <th>Key</th>\n",
       "      <th>EnglishName</th>\n",
       "      <th>time_offset</th>\n",
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       "      <th>PrecipitationProbability</th>\n",
       "      <th>Temperature</th>\n",
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       "      <th>Precipitation</th>\n",
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       "      <td>0</td>\n",
       "      <td>40.79329</td>\n",
       "      <td>-77.86014</td>\n",
       "      <td>335315</td>\n",
       "      <td>State College</td>\n",
       "      <td>0</td>\n",
       "      <td>2017-11-05T11:00:00-05:00</td>\n",
       "      <td>1509897600</td>\n",
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       "      <td>40.81276</td>\n",
       "      <td>-77.82821</td>\n",
       "      <td>2155957</td>\n",
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       "      <td>2017-11-05T11:00:00-05:00</td>\n",
       "      <td>1509897600</td>\n",
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       "      <td>68</td>\n",
       "      <td>53.0</td>\n",
       "      <td>18</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>4</td>\n",
       "      <td>40.82040</td>\n",
       "      <td>-77.83616</td>\n",
       "      <td>2242273</td>\n",
       "      <td>Houserville</td>\n",
       "      <td>0</td>\n",
       "      <td>2017-11-05T11:00:00-05:00</td>\n",
       "      <td>1509897600</td>\n",
       "      <td>Rain</td>\n",
       "      <td>67</td>\n",
       "      <td>53.0</td>\n",
       "      <td>18</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>10</td>\n",
       "      <td>40.86353</td>\n",
       "      <td>-77.78760</td>\n",
       "      <td>2097870</td>\n",
       "      <td>Pleasant Gap</td>\n",
       "      <td>0</td>\n",
       "      <td>2017-11-05T11:00:00-05:00</td>\n",
       "      <td>1509897600</td>\n",
       "      <td>Cloudy</td>\n",
       "      <td>49</td>\n",
       "      <td>54.0</td>\n",
       "      <td>7</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>16</td>\n",
       "      <td>40.90789</td>\n",
       "      <td>-77.74052</td>\n",
       "      <td>335318</td>\n",
       "      <td>Bellefonte</td>\n",
       "      <td>0</td>\n",
       "      <td>2017-11-05T11:00:00-05:00</td>\n",
       "      <td>1509897600</td>\n",
       "      <td>Thunderstorms</td>\n",
       "      <td>51</td>\n",
       "      <td>55.0</td>\n",
       "      <td>15</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>21</td>\n",
       "      <td>40.94536</td>\n",
       "      <td>-77.71427</td>\n",
       "      <td>2129086</td>\n",
       "      <td>Zion</td>\n",
       "      <td>0</td>\n",
       "      <td>2017-11-05T11:00:00-05:00</td>\n",
       "      <td>1509897600</td>\n",
       "      <td>Cloudy</td>\n",
       "      <td>49</td>\n",
       "      <td>53.0</td>\n",
       "      <td>7</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>22</td>\n",
       "      <td>40.94729</td>\n",
       "      <td>-77.70347</td>\n",
       "      <td>2097228</td>\n",
       "      <td>Mingoville</td>\n",
       "      <td>0</td>\n",
       "      <td>2017-11-05T11:00:00-05:00</td>\n",
       "      <td>1509897600</td>\n",
       "      <td>Cloudy</td>\n",
       "      <td>49</td>\n",
       "      <td>53.0</td>\n",
       "      <td>7</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>24</td>\n",
       "      <td>40.97117</td>\n",
       "      <td>-77.63648</td>\n",
       "      <td>2242382</td>\n",
       "      <td>Jacksonville</td>\n",
       "      <td>0</td>\n",
       "      <td>2017-11-05T11:00:00-05:00</td>\n",
       "      <td>1509897600</td>\n",
       "      <td>Cloudy</td>\n",
       "      <td>49</td>\n",
       "      <td>56.0</td>\n",
       "      <td>7</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>25</td>\n",
       "      <td>40.98546</td>\n",
       "      <td>-77.61842</td>\n",
       "      <td>2098506</td>\n",
       "      <td>Snydertown</td>\n",
       "      <td>0</td>\n",
       "      <td>2017-11-05T11:00:00-05:00</td>\n",
       "      <td>1509897600</td>\n",
       "      <td>Cloudy</td>\n",
       "      <td>49</td>\n",
       "      <td>56.0</td>\n",
       "      <td>7</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>28</td>\n",
       "      <td>41.02714</td>\n",
       "      <td>-77.55099</td>\n",
       "      <td>2181632</td>\n",
       "      <td>Lamar</td>\n",
       "      <td>0</td>\n",
       "      <td>2017-11-05T11:00:00-05:00</td>\n",
       "      <td>1509897600</td>\n",
       "      <td>Cloudy</td>\n",
       "      <td>49</td>\n",
       "      <td>56.0</td>\n",
       "      <td>7</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>33</td>\n",
       "      <td>41.04505</td>\n",
       "      <td>-77.45424</td>\n",
       "      <td>2098214</td>\n",
       "      <td>Rote</td>\n",
       "      <td>0</td>\n",
       "      <td>2017-11-05T11:00:00-05:00</td>\n",
       "      <td>1509897600</td>\n",
       "      <td>Cloudy</td>\n",
       "      <td>49</td>\n",
       "      <td>55.0</td>\n",
       "      <td>7</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>39</td>\n",
       "      <td>41.05295</td>\n",
       "      <td>-77.35232</td>\n",
       "      <td>2242807</td>\n",
       "      <td>Loganton</td>\n",
       "      <td>0</td>\n",
       "      <td>2017-11-05T11:00:00-05:00</td>\n",
       "      <td>1509897600</td>\n",
       "      <td>Rain</td>\n",
       "      <td>68</td>\n",
       "      <td>55.0</td>\n",
       "      <td>18</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>44</td>\n",
       "      <td>41.06107</td>\n",
       "      <td>-77.21344</td>\n",
       "      <td>2098028</td>\n",
       "      <td>Rauchtown</td>\n",
       "      <td>0</td>\n",
       "      <td>2017-11-05T11:00:00-05:00</td>\n",
       "      <td>1509897600</td>\n",
       "      <td>Rain</td>\n",
       "      <td>68</td>\n",
       "      <td>55.0</td>\n",
       "      <td>18</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>53</td>\n",
       "      <td>41.04761</td>\n",
       "      <td>-77.10872</td>\n",
       "      <td>2097679</td>\n",
       "      <td>Oval</td>\n",
       "      <td>0</td>\n",
       "      <td>2017-11-05T11:00:00-05:00</td>\n",
       "      <td>1509897600</td>\n",
       "      <td>Rain</td>\n",
       "      <td>68</td>\n",
       "      <td>55.0</td>\n",
       "      <td>18</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>57</td>\n",
       "      <td>41.07013</td>\n",
       "      <td>-77.04815</td>\n",
       "      <td>2215114</td>\n",
       "      <td>Allenwood</td>\n",
       "      <td>0</td>\n",
       "      <td>2017-11-05T11:00:00-05:00</td>\n",
       "      <td>1509897600</td>\n",
       "      <td>Cloudy</td>\n",
       "      <td>47</td>\n",
       "      <td>57.0</td>\n",
       "      <td>7</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>61</td>\n",
       "      <td>41.06841</td>\n",
       "      <td>-76.90905</td>\n",
       "      <td>2097432</td>\n",
       "      <td>New Columbia</td>\n",
       "      <td>1</td>\n",
       "      <td>2017-11-05T11:00:00-05:00</td>\n",
       "      <td>1509897600</td>\n",
       "      <td>Cloudy</td>\n",
       "      <td>47</td>\n",
       "      <td>57.0</td>\n",
       "      <td>7</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>65</td>\n",
       "      <td>41.04403</td>\n",
       "      <td>-76.81858</td>\n",
       "      <td>340445</td>\n",
       "      <td>Milton</td>\n",
       "      <td>1</td>\n",
       "      <td>2017-11-05T11:00:00-05:00</td>\n",
       "      <td>1509897600</td>\n",
       "      <td>Cloudy</td>\n",
       "      <td>47</td>\n",
       "      <td>57.0</td>\n",
       "      <td>7</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>70</td>\n",
       "      <td>40.99272</td>\n",
       "      <td>-76.74223</td>\n",
       "      <td>340489</td>\n",
       "      <td>Riverside</td>\n",
       "      <td>1</td>\n",
       "      <td>2017-11-05T11:00:00-05:00</td>\n",
       "      <td>1509897600</td>\n",
       "      <td>Cloudy</td>\n",
       "      <td>47</td>\n",
       "      <td>57.0</td>\n",
       "      <td>7</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>74</td>\n",
       "      <td>40.99168</td>\n",
       "      <td>-76.65460</td>\n",
       "      <td>335323</td>\n",
       "      <td>Danville</td>\n",
       "      <td>1</td>\n",
       "      <td>2017-11-05T11:00:00-05:00</td>\n",
       "      <td>1509897600</td>\n",
       "      <td>Cloudy</td>\n",
       "      <td>47</td>\n",
       "      <td>57.0</td>\n",
       "      <td>7</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>79</td>\n",
       "      <td>41.00464</td>\n",
       "      <td>-76.56178</td>\n",
       "      <td>2129126</td>\n",
       "      <td>Buckhorn</td>\n",
       "      <td>1</td>\n",
       "      <td>2017-11-05T11:00:00-05:00</td>\n",
       "      <td>1509897600</td>\n",
       "      <td>Cloudy</td>\n",
       "      <td>47</td>\n",
       "      <td>57.0</td>\n",
       "      <td>7</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>83</td>\n",
       "      <td>41.02195</td>\n",
       "      <td>-76.46691</td>\n",
       "      <td>335344</td>\n",
       "      <td>Bloomsburg</td>\n",
       "      <td>1</td>\n",
       "      <td>2017-11-05T11:00:00-05:00</td>\n",
       "      <td>1509897600</td>\n",
       "      <td>Cloudy</td>\n",
       "      <td>47</td>\n",
       "      <td>57.0</td>\n",
       "      <td>7</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>84</td>\n",
       "      <td>41.02776</td>\n",
       "      <td>-76.43603</td>\n",
       "      <td>2242731</td>\n",
       "      <td>Lightstreet</td>\n",
       "      <td>1</td>\n",
       "      <td>2017-11-05T11:00:00-05:00</td>\n",
       "      <td>1509897600</td>\n",
       "      <td>Cloudy</td>\n",
       "      <td>47</td>\n",
       "      <td>57.0</td>\n",
       "      <td>7</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>85</td>\n",
       "      <td>41.02464</td>\n",
       "      <td>-76.41350</td>\n",
       "      <td>2216428</td>\n",
       "      <td>Espy</td>\n",
       "      <td>1</td>\n",
       "      <td>2017-11-05T11:00:00-05:00</td>\n",
       "      <td>1509897600</td>\n",
       "      <td>Cloudy</td>\n",
       "      <td>47</td>\n",
       "      <td>57.0</td>\n",
       "      <td>7</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>86</td>\n",
       "      <td>41.03819</td>\n",
       "      <td>-76.36226</td>\n",
       "      <td>2242735</td>\n",
       "      <td>Lime Ridge</td>\n",
       "      <td>1</td>\n",
       "      <td>2017-11-05T11:00:00-05:00</td>\n",
       "      <td>1509897600</td>\n",
       "      <td>Cloudy</td>\n",
       "      <td>37</td>\n",
       "      <td>57.0</td>\n",
       "      <td>7</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>89</td>\n",
       "      <td>41.01042</td>\n",
       "      <td>-76.29416</td>\n",
       "      <td>2206499</td>\n",
       "      <td>Mifflinville</td>\n",
       "      <td>1</td>\n",
       "      <td>2017-11-05T11:00:00-05:00</td>\n",
       "      <td>1509897600</td>\n",
       "      <td>Cloudy</td>\n",
       "      <td>37</td>\n",
       "      <td>57.0</td>\n",
       "      <td>7</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>92</td>\n",
       "      <td>41.00864</td>\n",
       "      <td>-76.24282</td>\n",
       "      <td>335380</td>\n",
       "      <td>Berwick</td>\n",
       "      <td>1</td>\n",
       "      <td>2017-11-05T11:00:00-05:00</td>\n",
       "      <td>1509897600</td>\n",
       "      <td>Cloudy</td>\n",
       "      <td>37</td>\n",
       "      <td>57.0</td>\n",
       "      <td>7</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>93</td>\n",
       "      <td>41.01570</td>\n",
       "      <td>-76.20470</td>\n",
       "      <td>340458</td>\n",
       "      <td>Nescopeck</td>\n",
       "      <td>1</td>\n",
       "      <td>2017-11-05T11:00:00-05:00</td>\n",
       "      <td>1509897600</td>\n",
       "      <td>Cloudy</td>\n",
       "      <td>37</td>\n",
       "      <td>57.0</td>\n",
       "      <td>7</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>97</td>\n",
       "      <td>41.00353</td>\n",
       "      <td>-76.15868</td>\n",
       "      <td>2128906</td>\n",
       "      <td>Weston</td>\n",
       "      <td>1</td>\n",
       "      <td>2017-11-05T11:00:00-05:00</td>\n",
       "      <td>1509897600</td>\n",
       "      <td>Cloudy</td>\n",
       "      <td>37</td>\n",
       "      <td>55.0</td>\n",
       "      <td>7</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>98</td>\n",
       "      <td>41.00545</td>\n",
       "      <td>-76.14139</td>\n",
       "      <td>2129144</td>\n",
       "      <td>Conyngham</td>\n",
       "      <td>1</td>\n",
       "      <td>2017-11-05T11:00:00-05:00</td>\n",
       "      <td>1509897600</td>\n",
       "      <td>Cloudy</td>\n",
       "      <td>34</td>\n",
       "      <td>53.0</td>\n",
       "      <td>7</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>104</td>\n",
       "      <td>41.04518</td>\n",
       "      <td>-76.01422</td>\n",
       "      <td>2274538</td>\n",
       "      <td>Beech Mountain Lakes</td>\n",
       "      <td>1</td>\n",
       "      <td>2017-11-05T11:00:00-05:00</td>\n",
       "      <td>1509897600</td>\n",
       "      <td>Cloudy</td>\n",
       "      <td>34</td>\n",
       "      <td>53.0</td>\n",
       "      <td>7</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td>147</td>\n",
       "      <td>40.99749</td>\n",
       "      <td>-75.14569</td>\n",
       "      <td>2155958</td>\n",
       "      <td>Delaware Water Gap</td>\n",
       "      <td>2</td>\n",
       "      <td>2017-11-05T11:00:00-05:00</td>\n",
       "      <td>1509897600</td>\n",
       "      <td>Cloudy</td>\n",
       "      <td>47</td>\n",
       "      <td>54.0</td>\n",
       "      <td>7</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td>154</td>\n",
       "      <td>40.93673</td>\n",
       "      <td>-75.10381</td>\n",
       "      <td>2097945</td>\n",
       "      <td>Portland</td>\n",
       "      <td>2</td>\n",
       "      <td>2017-11-05T11:00:00-05:00</td>\n",
       "      <td>1509897600</td>\n",
       "      <td>Rain</td>\n",
       "      <td>52</td>\n",
       "      <td>57.0</td>\n",
       "      <td>18</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>156</td>\n",
       "      <td>40.92707</td>\n",
       "      <td>-75.08571</td>\n",
       "      <td>2191486</td>\n",
       "      <td>Columbia</td>\n",
       "      <td>2</td>\n",
       "      <td>2017-11-05T11:00:00-05:00</td>\n",
       "      <td>1509897600</td>\n",
       "      <td>Rain</td>\n",
       "      <td>52</td>\n",
       "      <td>57.0</td>\n",
       "      <td>18</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44</th>\n",
       "      <td>159</td>\n",
       "      <td>40.92620</td>\n",
       "      <td>-75.04482</td>\n",
       "      <td>2191787</td>\n",
       "      <td>Hainesburg</td>\n",
       "      <td>2</td>\n",
       "      <td>2017-11-05T11:00:00-05:00</td>\n",
       "      <td>1509897600</td>\n",
       "      <td>Cloudy</td>\n",
       "      <td>37</td>\n",
       "      <td>56.0</td>\n",
       "      <td>7</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45</th>\n",
       "      <td>160</td>\n",
       "      <td>40.93245</td>\n",
       "      <td>-75.02722</td>\n",
       "      <td>2192202</td>\n",
       "      <td>Mount Hermon</td>\n",
       "      <td>2</td>\n",
       "      <td>2017-11-05T11:00:00-05:00</td>\n",
       "      <td>1509897600</td>\n",
       "      <td>Cloudy</td>\n",
       "      <td>37</td>\n",
       "      <td>56.0</td>\n",
       "      <td>7</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46</th>\n",
       "      <td>163</td>\n",
       "      <td>40.92877</td>\n",
       "      <td>-74.97303</td>\n",
       "      <td>2274407</td>\n",
       "      <td>Silver Lake</td>\n",
       "      <td>2</td>\n",
       "      <td>2017-11-05T11:00:00-05:00</td>\n",
       "      <td>1509897600</td>\n",
       "      <td>Cloudy</td>\n",
       "      <td>37</td>\n",
       "      <td>56.0</td>\n",
       "      <td>7</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47</th>\n",
       "      <td>164</td>\n",
       "      <td>40.92481</td>\n",
       "      <td>-74.96136</td>\n",
       "      <td>2191882</td>\n",
       "      <td>Hope</td>\n",
       "      <td>2</td>\n",
       "      <td>2017-11-05T11:00:00-05:00</td>\n",
       "      <td>1509897600</td>\n",
       "      <td>Cloudy</td>\n",
       "      <td>37</td>\n",
       "      <td>56.0</td>\n",
       "      <td>7</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>48</th>\n",
       "      <td>167</td>\n",
       "      <td>40.92737</td>\n",
       "      <td>-74.88379</td>\n",
       "      <td>2274404</td>\n",
       "      <td>Panther Valley</td>\n",
       "      <td>2</td>\n",
       "      <td>2017-11-05T11:00:00-05:00</td>\n",
       "      <td>1509897600</td>\n",
       "      <td>Showers</td>\n",
       "      <td>46</td>\n",
       "      <td>57.0</td>\n",
       "      <td>12</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49</th>\n",
       "      <td>172</td>\n",
       "      <td>40.91667</td>\n",
       "      <td>-74.81086</td>\n",
       "      <td>2174753</td>\n",
       "      <td>Allamuchy</td>\n",
       "      <td>2</td>\n",
       "      <td>2017-11-05T11:00:00-05:00</td>\n",
       "      <td>1509897600</td>\n",
       "      <td>Showers</td>\n",
       "      <td>46</td>\n",
       "      <td>57.0</td>\n",
       "      <td>12</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50</th>\n",
       "      <td>176</td>\n",
       "      <td>40.91528</td>\n",
       "      <td>-74.76408</td>\n",
       "      <td>339545</td>\n",
       "      <td>Stanhope</td>\n",
       "      <td>2</td>\n",
       "      <td>2017-11-05T11:00:00-05:00</td>\n",
       "      <td>1509897600</td>\n",
       "      <td>Showers</td>\n",
       "      <td>40</td>\n",
       "      <td>55.0</td>\n",
       "      <td>12</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>51</th>\n",
       "      <td>177</td>\n",
       "      <td>40.91215</td>\n",
       "      <td>-74.75776</td>\n",
       "      <td>334516</td>\n",
       "      <td>Budd Lake</td>\n",
       "      <td>2</td>\n",
       "      <td>2017-11-05T11:00:00-05:00</td>\n",
       "      <td>1509897600</td>\n",
       "      <td>Showers</td>\n",
       "      <td>40</td>\n",
       "      <td>55.0</td>\n",
       "      <td>12</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>52</th>\n",
       "      <td>180</td>\n",
       "      <td>40.89985</td>\n",
       "      <td>-74.71965</td>\n",
       "      <td>339507</td>\n",
       "      <td>Netcong</td>\n",
       "      <td>3</td>\n",
       "      <td>2017-11-05T11:00:00-05:00</td>\n",
       "      <td>1509897600</td>\n",
       "      <td>Showers</td>\n",
       "      <td>40</td>\n",
       "      <td>55.0</td>\n",
       "      <td>12</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>53</th>\n",
       "      <td>183</td>\n",
       "      <td>40.89223</td>\n",
       "      <td>-74.65360</td>\n",
       "      <td>1009</td>\n",
       "      <td>Mount Arlington</td>\n",
       "      <td>3</td>\n",
       "      <td>2017-11-05T11:00:00-05:00</td>\n",
       "      <td>1509897600</td>\n",
       "      <td>Showers</td>\n",
       "      <td>40</td>\n",
       "      <td>55.0</td>\n",
       "      <td>12</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>54</th>\n",
       "      <td>185</td>\n",
       "      <td>40.90823</td>\n",
       "      <td>-74.59775</td>\n",
       "      <td>2208763</td>\n",
       "      <td>Wharton</td>\n",
       "      <td>3</td>\n",
       "      <td>2017-11-05T11:00:00-05:00</td>\n",
       "      <td>1509897600</td>\n",
       "      <td>Cloudy</td>\n",
       "      <td>37</td>\n",
       "      <td>56.0</td>\n",
       "      <td>7</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55</th>\n",
       "      <td>187</td>\n",
       "      <td>40.91118</td>\n",
       "      <td>-74.51263</td>\n",
       "      <td>2209324</td>\n",
       "      <td>White Meadow Lake</td>\n",
       "      <td>3</td>\n",
       "      <td>2017-11-05T11:00:00-05:00</td>\n",
       "      <td>1509897600</td>\n",
       "      <td>Cloudy</td>\n",
       "      <td>37</td>\n",
       "      <td>56.0</td>\n",
       "      <td>7</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>56</th>\n",
       "      <td>189</td>\n",
       "      <td>40.89935</td>\n",
       "      <td>-74.48960</td>\n",
       "      <td>339531</td>\n",
       "      <td>Rockaway</td>\n",
       "      <td>3</td>\n",
       "      <td>2017-11-05T11:00:00-05:00</td>\n",
       "      <td>1509897600</td>\n",
       "      <td>Cloudy</td>\n",
       "      <td>37</td>\n",
       "      <td>56.0</td>\n",
       "      <td>7</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57</th>\n",
       "      <td>190</td>\n",
       "      <td>40.89103</td>\n",
       "      <td>-74.48151</td>\n",
       "      <td>339506</td>\n",
       "      <td>Mountain Lakes</td>\n",
       "      <td>3</td>\n",
       "      <td>2017-11-05T11:00:00-05:00</td>\n",
       "      <td>1509897600</td>\n",
       "      <td>Showers</td>\n",
       "      <td>40</td>\n",
       "      <td>57.0</td>\n",
       "      <td>12</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>58</th>\n",
       "      <td>197</td>\n",
       "      <td>40.82851</td>\n",
       "      <td>-74.44086</td>\n",
       "      <td>2192193</td>\n",
       "      <td>Morris Plains</td>\n",
       "      <td>3</td>\n",
       "      <td>2017-11-05T11:00:00-05:00</td>\n",
       "      <td>1509897600</td>\n",
       "      <td>Showers</td>\n",
       "      <td>40</td>\n",
       "      <td>57.0</td>\n",
       "      <td>12</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>59</th>\n",
       "      <td>199</td>\n",
       "      <td>40.81211</td>\n",
       "      <td>-74.44827</td>\n",
       "      <td>334499</td>\n",
       "      <td>Morristown</td>\n",
       "      <td>3</td>\n",
       "      <td>2017-11-05T11:00:00-05:00</td>\n",
       "      <td>1509897600</td>\n",
       "      <td>Showers</td>\n",
       "      <td>40</td>\n",
       "      <td>57.0</td>\n",
       "      <td>12</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>60</th>\n",
       "      <td>200</td>\n",
       "      <td>40.79717</td>\n",
       "      <td>-74.43780</td>\n",
       "      <td>2191669</td>\n",
       "      <td>Florham Park</td>\n",
       "      <td>3</td>\n",
       "      <td>2017-11-05T12:00:00-05:00</td>\n",
       "      <td>1509901200</td>\n",
       "      <td>Cloudy</td>\n",
       "      <td>33</td>\n",
       "      <td>59.0</td>\n",
       "      <td>7</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>61</th>\n",
       "      <td>203</td>\n",
       "      <td>40.76486</td>\n",
       "      <td>-74.40172</td>\n",
       "      <td>2192055</td>\n",
       "      <td>Madison</td>\n",
       "      <td>3</td>\n",
       "      <td>2017-11-05T12:00:00-05:00</td>\n",
       "      <td>1509901200</td>\n",
       "      <td>Cloudy</td>\n",
       "      <td>33</td>\n",
       "      <td>59.0</td>\n",
       "      <td>7</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>62</th>\n",
       "      <td>205</td>\n",
       "      <td>40.74712</td>\n",
       "      <td>-74.37168</td>\n",
       "      <td>2175007</td>\n",
       "      <td>Chatham</td>\n",
       "      <td>3</td>\n",
       "      <td>2017-11-05T12:00:00-05:00</td>\n",
       "      <td>1509901200</td>\n",
       "      <td>Cloudy</td>\n",
       "      <td>33</td>\n",
       "      <td>60.0</td>\n",
       "      <td>7</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>63</th>\n",
       "      <td>206</td>\n",
       "      <td>40.74030</td>\n",
       "      <td>-74.36997</td>\n",
       "      <td>2195571</td>\n",
       "      <td>Short Hills</td>\n",
       "      <td>3</td>\n",
       "      <td>2017-11-05T12:00:00-05:00</td>\n",
       "      <td>1509901200</td>\n",
       "      <td>Cloudy</td>\n",
       "      <td>33</td>\n",
       "      <td>59.0</td>\n",
       "      <td>7</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>64</th>\n",
       "      <td>207</td>\n",
       "      <td>40.73711</td>\n",
       "      <td>-74.36309</td>\n",
       "      <td>2195668</td>\n",
       "      <td>Summit</td>\n",
       "      <td>3</td>\n",
       "      <td>2017-11-05T12:00:00-05:00</td>\n",
       "      <td>1509901200</td>\n",
       "      <td>Cloudy</td>\n",
       "      <td>33</td>\n",
       "      <td>60.0</td>\n",
       "      <td>7</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>65</th>\n",
       "      <td>212</td>\n",
       "      <td>40.71432</td>\n",
       "      <td>-74.28810</td>\n",
       "      <td>344428</td>\n",
       "      <td>Kenilworth</td>\n",
       "      <td>3</td>\n",
       "      <td>2017-11-05T12:00:00-05:00</td>\n",
       "      <td>1509901200</td>\n",
       "      <td>Cloudy</td>\n",
       "      <td>37</td>\n",
       "      <td>59.0</td>\n",
       "      <td>7</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>66</th>\n",
       "      <td>214</td>\n",
       "      <td>40.70534</td>\n",
       "      <td>-74.24595</td>\n",
       "      <td>349530</td>\n",
       "      <td>Newark</td>\n",
       "      <td>3</td>\n",
       "      <td>2017-11-05T12:00:00-05:00</td>\n",
       "      <td>1509901200</td>\n",
       "      <td>Cloudy</td>\n",
       "      <td>34</td>\n",
       "      <td>60.0</td>\n",
       "      <td>7</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>67</th>\n",
       "      <td>221</td>\n",
       "      <td>40.69014</td>\n",
       "      <td>-74.10286</td>\n",
       "      <td>334508</td>\n",
       "      <td>Bayonne</td>\n",
       "      <td>3</td>\n",
       "      <td>2017-11-05T12:00:00-05:00</td>\n",
       "      <td>1509901200</td>\n",
       "      <td>Showers</td>\n",
       "      <td>40</td>\n",
       "      <td>61.0</td>\n",
       "      <td>12</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>68</th>\n",
       "      <td>222</td>\n",
       "      <td>40.68590</td>\n",
       "      <td>-74.09577</td>\n",
       "      <td>329548</td>\n",
       "      <td>Jersey City</td>\n",
       "      <td>3</td>\n",
       "      <td>2017-11-05T12:00:00-05:00</td>\n",
       "      <td>1509901200</td>\n",
       "      <td>Showers</td>\n",
       "      <td>40</td>\n",
       "      <td>61.0</td>\n",
       "      <td>12</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>69</th>\n",
       "      <td>231</td>\n",
       "      <td>40.72583</td>\n",
       "      <td>-74.01135</td>\n",
       "      <td>2171831</td>\n",
       "      <td>Tribeca</td>\n",
       "      <td>3</td>\n",
       "      <td>2017-11-05T12:00:00-05:00</td>\n",
       "      <td>1509901200</td>\n",
       "      <td>Showers</td>\n",
       "      <td>40</td>\n",
       "      <td>60.0</td>\n",
       "      <td>12</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>70</th>\n",
       "      <td>236</td>\n",
       "      <td>40.71246</td>\n",
       "      <td>-74.00484</td>\n",
       "      <td>2627449</td>\n",
       "      <td>Civic Center</td>\n",
       "      <td>3</td>\n",
       "      <td>2017-11-05T12:00:00-05:00</td>\n",
       "      <td>1509901200</td>\n",
       "      <td>Showers</td>\n",
       "      <td>40</td>\n",
       "      <td>60.0</td>\n",
       "      <td>12</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>71 rows × 13 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "    index       lat       lon      Key           EnglishName  time_offset  \\\n",
       "0       0  40.79329 -77.86014   335315         State College            0   \n",
       "1       3  40.81276 -77.82821  2155957                Lemont            0   \n",
       "2       4  40.82040 -77.83616  2242273           Houserville            0   \n",
       "3      10  40.86353 -77.78760  2097870          Pleasant Gap            0   \n",
       "4      16  40.90789 -77.74052   335318            Bellefonte            0   \n",
       "5      21  40.94536 -77.71427  2129086                  Zion            0   \n",
       "6      22  40.94729 -77.70347  2097228            Mingoville            0   \n",
       "7      24  40.97117 -77.63648  2242382          Jacksonville            0   \n",
       "8      25  40.98546 -77.61842  2098506            Snydertown            0   \n",
       "9      28  41.02714 -77.55099  2181632                 Lamar            0   \n",
       "10     33  41.04505 -77.45424  2098214                  Rote            0   \n",
       "11     39  41.05295 -77.35232  2242807              Loganton            0   \n",
       "12     44  41.06107 -77.21344  2098028             Rauchtown            0   \n",
       "13     53  41.04761 -77.10872  2097679                  Oval            0   \n",
       "14     57  41.07013 -77.04815  2215114             Allenwood            0   \n",
       "15     61  41.06841 -76.90905  2097432          New Columbia            1   \n",
       "16     65  41.04403 -76.81858   340445                Milton            1   \n",
       "17     70  40.99272 -76.74223   340489             Riverside            1   \n",
       "18     74  40.99168 -76.65460   335323              Danville            1   \n",
       "19     79  41.00464 -76.56178  2129126              Buckhorn            1   \n",
       "20     83  41.02195 -76.46691   335344            Bloomsburg            1   \n",
       "21     84  41.02776 -76.43603  2242731           Lightstreet            1   \n",
       "22     85  41.02464 -76.41350  2216428                  Espy            1   \n",
       "23     86  41.03819 -76.36226  2242735            Lime Ridge            1   \n",
       "24     89  41.01042 -76.29416  2206499          Mifflinville            1   \n",
       "25     92  41.00864 -76.24282   335380               Berwick            1   \n",
       "26     93  41.01570 -76.20470   340458             Nescopeck            1   \n",
       "27     97  41.00353 -76.15868  2128906                Weston            1   \n",
       "28     98  41.00545 -76.14139  2129144             Conyngham            1   \n",
       "29    104  41.04518 -76.01422  2274538  Beech Mountain Lakes            1   \n",
       "..    ...       ...       ...      ...                   ...          ...   \n",
       "41    147  40.99749 -75.14569  2155958    Delaware Water Gap            2   \n",
       "42    154  40.93673 -75.10381  2097945              Portland            2   \n",
       "43    156  40.92707 -75.08571  2191486              Columbia            2   \n",
       "44    159  40.92620 -75.04482  2191787            Hainesburg            2   \n",
       "45    160  40.93245 -75.02722  2192202          Mount Hermon            2   \n",
       "46    163  40.92877 -74.97303  2274407           Silver Lake            2   \n",
       "47    164  40.92481 -74.96136  2191882                  Hope            2   \n",
       "48    167  40.92737 -74.88379  2274404        Panther Valley            2   \n",
       "49    172  40.91667 -74.81086  2174753             Allamuchy            2   \n",
       "50    176  40.91528 -74.76408   339545              Stanhope            2   \n",
       "51    177  40.91215 -74.75776   334516             Budd Lake            2   \n",
       "52    180  40.89985 -74.71965   339507               Netcong            3   \n",
       "53    183  40.89223 -74.65360     1009       Mount Arlington            3   \n",
       "54    185  40.90823 -74.59775  2208763               Wharton            3   \n",
       "55    187  40.91118 -74.51263  2209324     White Meadow Lake            3   \n",
       "56    189  40.89935 -74.48960   339531              Rockaway            3   \n",
       "57    190  40.89103 -74.48151   339506        Mountain Lakes            3   \n",
       "58    197  40.82851 -74.44086  2192193         Morris Plains            3   \n",
       "59    199  40.81211 -74.44827   334499            Morristown            3   \n",
       "60    200  40.79717 -74.43780  2191669          Florham Park            3   \n",
       "61    203  40.76486 -74.40172  2192055               Madison            3   \n",
       "62    205  40.74712 -74.37168  2175007               Chatham            3   \n",
       "63    206  40.74030 -74.36997  2195571           Short Hills            3   \n",
       "64    207  40.73711 -74.36309  2195668                Summit            3   \n",
       "65    212  40.71432 -74.28810   344428            Kenilworth            3   \n",
       "66    214  40.70534 -74.24595   349530                Newark            3   \n",
       "67    221  40.69014 -74.10286   334508               Bayonne            3   \n",
       "68    222  40.68590 -74.09577   329548           Jersey City            3   \n",
       "69    231  40.72583 -74.01135  2171831               Tribeca            3   \n",
       "70    236  40.71246 -74.00484  2627449          Civic Center            3   \n",
       "\n",
       "                     DateTime  EpochDateTime     IconPhrase  \\\n",
       "0   2017-11-05T11:00:00-05:00     1509897600         Cloudy   \n",
       "1   2017-11-05T11:00:00-05:00     1509897600           Rain   \n",
       "2   2017-11-05T11:00:00-05:00     1509897600           Rain   \n",
       "3   2017-11-05T11:00:00-05:00     1509897600         Cloudy   \n",
       "4   2017-11-05T11:00:00-05:00     1509897600  Thunderstorms   \n",
       "5   2017-11-05T11:00:00-05:00     1509897600         Cloudy   \n",
       "6   2017-11-05T11:00:00-05:00     1509897600         Cloudy   \n",
       "7   2017-11-05T11:00:00-05:00     1509897600         Cloudy   \n",
       "8   2017-11-05T11:00:00-05:00     1509897600         Cloudy   \n",
       "9   2017-11-05T11:00:00-05:00     1509897600         Cloudy   \n",
       "10  2017-11-05T11:00:00-05:00     1509897600         Cloudy   \n",
       "11  2017-11-05T11:00:00-05:00     1509897600           Rain   \n",
       "12  2017-11-05T11:00:00-05:00     1509897600           Rain   \n",
       "13  2017-11-05T11:00:00-05:00     1509897600           Rain   \n",
       "14  2017-11-05T11:00:00-05:00     1509897600         Cloudy   \n",
       "15  2017-11-05T11:00:00-05:00     1509897600         Cloudy   \n",
       "16  2017-11-05T11:00:00-05:00     1509897600         Cloudy   \n",
       "17  2017-11-05T11:00:00-05:00     1509897600         Cloudy   \n",
       "18  2017-11-05T11:00:00-05:00     1509897600         Cloudy   \n",
       "19  2017-11-05T11:00:00-05:00     1509897600         Cloudy   \n",
       "20  2017-11-05T11:00:00-05:00     1509897600         Cloudy   \n",
       "21  2017-11-05T11:00:00-05:00     1509897600         Cloudy   \n",
       "22  2017-11-05T11:00:00-05:00     1509897600         Cloudy   \n",
       "23  2017-11-05T11:00:00-05:00     1509897600         Cloudy   \n",
       "24  2017-11-05T11:00:00-05:00     1509897600         Cloudy   \n",
       "25  2017-11-05T11:00:00-05:00     1509897600         Cloudy   \n",
       "26  2017-11-05T11:00:00-05:00     1509897600         Cloudy   \n",
       "27  2017-11-05T11:00:00-05:00     1509897600         Cloudy   \n",
       "28  2017-11-05T11:00:00-05:00     1509897600         Cloudy   \n",
       "29  2017-11-05T11:00:00-05:00     1509897600         Cloudy   \n",
       "..                        ...            ...            ...   \n",
       "41  2017-11-05T11:00:00-05:00     1509897600         Cloudy   \n",
       "42  2017-11-05T11:00:00-05:00     1509897600           Rain   \n",
       "43  2017-11-05T11:00:00-05:00     1509897600           Rain   \n",
       "44  2017-11-05T11:00:00-05:00     1509897600         Cloudy   \n",
       "45  2017-11-05T11:00:00-05:00     1509897600         Cloudy   \n",
       "46  2017-11-05T11:00:00-05:00     1509897600         Cloudy   \n",
       "47  2017-11-05T11:00:00-05:00     1509897600         Cloudy   \n",
       "48  2017-11-05T11:00:00-05:00     1509897600        Showers   \n",
       "49  2017-11-05T11:00:00-05:00     1509897600        Showers   \n",
       "50  2017-11-05T11:00:00-05:00     1509897600        Showers   \n",
       "51  2017-11-05T11:00:00-05:00     1509897600        Showers   \n",
       "52  2017-11-05T11:00:00-05:00     1509897600        Showers   \n",
       "53  2017-11-05T11:00:00-05:00     1509897600        Showers   \n",
       "54  2017-11-05T11:00:00-05:00     1509897600         Cloudy   \n",
       "55  2017-11-05T11:00:00-05:00     1509897600         Cloudy   \n",
       "56  2017-11-05T11:00:00-05:00     1509897600         Cloudy   \n",
       "57  2017-11-05T11:00:00-05:00     1509897600        Showers   \n",
       "58  2017-11-05T11:00:00-05:00     1509897600        Showers   \n",
       "59  2017-11-05T11:00:00-05:00     1509897600        Showers   \n",
       "60  2017-11-05T12:00:00-05:00     1509901200         Cloudy   \n",
       "61  2017-11-05T12:00:00-05:00     1509901200         Cloudy   \n",
       "62  2017-11-05T12:00:00-05:00     1509901200         Cloudy   \n",
       "63  2017-11-05T12:00:00-05:00     1509901200         Cloudy   \n",
       "64  2017-11-05T12:00:00-05:00     1509901200         Cloudy   \n",
       "65  2017-11-05T12:00:00-05:00     1509901200         Cloudy   \n",
       "66  2017-11-05T12:00:00-05:00     1509901200         Cloudy   \n",
       "67  2017-11-05T12:00:00-05:00     1509901200        Showers   \n",
       "68  2017-11-05T12:00:00-05:00     1509901200        Showers   \n",
       "69  2017-11-05T12:00:00-05:00     1509901200        Showers   \n",
       "70  2017-11-05T12:00:00-05:00     1509901200        Showers   \n",
       "\n",
       "    PrecipitationProbability  Temperature  WeatherIcon  Precipitation  \n",
       "0                         49         54.0            7          False  \n",
       "1                         68         53.0           18           True  \n",
       "2                         67         53.0           18           True  \n",
       "3                         49         54.0            7          False  \n",
       "4                         51         55.0           15           True  \n",
       "5                         49         53.0            7          False  \n",
       "6                         49         53.0            7          False  \n",
       "7                         49         56.0            7          False  \n",
       "8                         49         56.0            7          False  \n",
       "9                         49         56.0            7          False  \n",
       "10                        49         55.0            7          False  \n",
       "11                        68         55.0           18           True  \n",
       "12                        68         55.0           18           True  \n",
       "13                        68         55.0           18           True  \n",
       "14                        47         57.0            7          False  \n",
       "15                        47         57.0            7          False  \n",
       "16                        47         57.0            7          False  \n",
       "17                        47         57.0            7          False  \n",
       "18                        47         57.0            7          False  \n",
       "19                        47         57.0            7          False  \n",
       "20                        47         57.0            7          False  \n",
       "21                        47         57.0            7          False  \n",
       "22                        47         57.0            7          False  \n",
       "23                        37         57.0            7          False  \n",
       "24                        37         57.0            7          False  \n",
       "25                        37         57.0            7          False  \n",
       "26                        37         57.0            7          False  \n",
       "27                        37         55.0            7          False  \n",
       "28                        34         53.0            7          False  \n",
       "29                        34         53.0            7          False  \n",
       "..                       ...          ...          ...            ...  \n",
       "41                        47         54.0            7          False  \n",
       "42                        52         57.0           18           True  \n",
       "43                        52         57.0           18           True  \n",
       "44                        37         56.0            7          False  \n",
       "45                        37         56.0            7          False  \n",
       "46                        37         56.0            7          False  \n",
       "47                        37         56.0            7          False  \n",
       "48                        46         57.0           12           True  \n",
       "49                        46         57.0           12           True  \n",
       "50                        40         55.0           12           True  \n",
       "51                        40         55.0           12           True  \n",
       "52                        40         55.0           12           True  \n",
       "53                        40         55.0           12           True  \n",
       "54                        37         56.0            7          False  \n",
       "55                        37         56.0            7          False  \n",
       "56                        37         56.0            7          False  \n",
       "57                        40         57.0           12           True  \n",
       "58                        40         57.0           12           True  \n",
       "59                        40         57.0           12           True  \n",
       "60                        33         59.0            7          False  \n",
       "61                        33         59.0            7          False  \n",
       "62                        33         60.0            7          False  \n",
       "63                        33         59.0            7          False  \n",
       "64                        33         60.0            7          False  \n",
       "65                        37         59.0            7          False  \n",
       "66                        34         60.0            7          False  \n",
       "67                        40         61.0           12           True  \n",
       "68                        40         61.0           12           True  \n",
       "69                        40         60.0           12           True  \n",
       "70                        40         60.0           12           True  \n",
       "\n",
       "[71 rows x 13 columns]"
      ]
     },
     "execution_count": 78,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "main.fetch_city_weather(df_full)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 115,
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "df_full, df_nondup = main.main(\"State College, PA\", \"New York, NY\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 116,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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JCX1GV68Chw75/hWCH//4x/jkJz+Jn/70p/j0pz+NBx54AGazgOubexQUFODIkSMYHx8X\n/FzJjk6nQ1VVVdTRSGazGU6nk5MXurm5GWNjY/B4PFGdKx6wLAsSZdShlCksLMQvfvEL/PEf/zHa\n2trw9ttvo6WlBWmRzFFc1Kb/keoeSUJ88eKdnZ0xlx4P29NLKMLY7ZgUvqn9Dls45rUMDAyQnp4e\nMjIyQgjx7aLc/pPbUedISmVXmA82NjbClkCPxTuzOyfgvfd87RB4LLzHO6Ojo2R1dVVsMxKOZPJI\n+hFyTo3FM6lQbLuGoqk+yrJk9dlnfZEYCTyfdXV1JVzEw76wLCHd3T7vZLxbkkTA9u/sju8gT7z0\n0kvk6aefJm63m2xubpKuri4yODgY1/zFgYGBiPrlUXYyMTFBJiYmIn7frVu3iNfrJd3d3RG3ZfEX\n4pJqsbyBgQFOLTMSGa/XS15++WXS1NRE+vv7OXskqZCMgonxcWL/3Odi7scoWj9DMUqmR8H8/Hyg\nZ+D2hcb2CmJ7FokiNqoWi4GBAU4LsWjCqBcWFnbcUIRehPBJMoahCE0yCkmhiUZM7nvtRJMmwbJk\n+L33En4+C/SXTAYkfH/d77vK1zzudDrJE088QS5fvkwIEb9FWmdnZ3JsUMSZhYWFqMWc3W4nP//5\nz2OqairVe1AqrSdmZ2fJ9773PSokBePeTWJPfkoMYjIuOZK7EaNkOge2trYCvQH36w21tbVFrl+/\nHnoQsRpVi4TJZOKcfxKpd2a7N1LIRYgQSOmGlCh9SqX0N0skIhGTIa+ZKKqPTk1NBebM3t5eye7o\nh8JutyfXQm3X/TWukT5BCPUdjXUeHxkZIWfOnCHvv/8+IcS3CSyFKqph1wqUHdjtdtLV1SXa+efn\n58nw8LBo5w/G4uJiVB7aRIcKSSGIsB9jJGGuoiBGyfQg+JvL9/b2hrz5XLt2jdvNScK7wnwzMTEh\nWPls/01FyEWIUEhFFIm2WRQFNCQ4eriIyXhcK729vQkZgmUymfYWs0tk7t1fTV+bEv36F/K7+b3v\nfY80NDSQ6elp4nQ6SVdXl2QW3f7CIZTwRNrmQwh++ctfEkJ8Bf4YhiE9PT2S6F+dVJtcEcBVSNJi\nO5HAMMCbb4ZvL+HH4fAdzzAhD1NU8lxLnitilEzfxvr6OjQaDTQaDQ4cOAClUonGxkbIZPt/LTs7\nO9HW1hb05zvYp6CPFIocCMHS0hIKCwsFGdvr9eIf/9GL558HnEFq8zidwPPPC1e4IZGJa0EtHqit\nrcXExETE7wsUbiKEcyskwdsexZlwBXgUCt/Pn3lGWDvq6+sxPDws7EkEoLy8HE6nEzabTWxT+CEt\nDebrJZj6nyYA4l3/V68i5PztJ5p5/Atf+AJ+9KMfQaPRwGazYXh4GC0tLaipqYnNaJ7IyclBRUVF\noHUbJTg3btzg3OZDKPztpzweD5RKJZqamjA5OQmdTieqXYTD/SyVoUIyEiLsx5hslUH5YmhoCAzD\nYGpqCkqlEkqlMmxvHrVajfr6emRmZnI/kV9MdncnrYgEEFl1rQjQ6XTo76/HCy+kC7IIEZKlpSUc\nPHhQVBuE6mUYjR1c4bRJs4tAf1J/L9fz58NWr462p6nUCSYm4yUiAcBoNAZ6tCUa9fX1GB0dlXT1\nRq5I4frnKiL9cJ3H19fX8eijj+Lo0aP4u7/7O2g0Ghw/fhyNjY2xG80zpaWlkMlkmJmZEdsUydLZ\n2YkLFy5ENf/zidfr3fNaY2Mjjh49Cr1eL4JFwNjYGGpra0U5d6JAhWQkcGihEUBCpb6lgM1mg0aj\nAcMwKCsrQ1NTE06fPs3pvX19faipqUF+fn7kJxbZ65qoGI1G/OpXpbh0KZ/3RUg8MJvNou+KKyoV\nqL5SDVmOb5qV5chQfaU6rhEIQgu2+x5XAtmX/zvYt94J2wop0by0kbJbTMZTRAJATU0Npqam4nMy\nAbhw4QK6u7vFNiNmxL7+IxWRfsLN41qtFo2Njfi93/s9fPjDH0Z6ejqam5ujbhMRD+rq6jA/P4/1\n9XWxTZEc/k363S2+xCArKwsMw+zZCCssLITH44Fer7/ffi9O3L17N7q1ZyrBJf7V/0j5HEk/KVgZ\nNBq8Xi/p7e0lDMNEnTOh1+vJ9PQ0z5YlD0LlR375yxP8tDUQiWD5kWLkI4uVIxltVWiuuaX3Wxh9\nQMz4LeJBdth5ULS2RyIgZpucW7duxf+kPLK8vCyZHOdYifj656F2QSxtaULN45cuXSJ1dXUJm8t6\n/fp10QsASYne3l5y9+5dsc3gzMbGBmEYhgwPD5PNzU3CMMyO9aH/53zmVfqrD8dSiTZRAc2RFJBQ\nnknqiYTZbAbDMOjr60N9fT2USmVU3qHx8XHk5OTg6NGjAliZHKyurvKeH/nNb67jr/+6KuKdbD8R\neyYjyKuLBbHCKcsvlaPZ2IzyS/ELN4xHWJ2iUoHqr1XhmPybKMX7SIdr5wEOxx7PpNhemnjyzDPA\n8nL8PJHbqaysTOhQvoKCAhw+fBgGg0FsU2ImouufEM7h4cGI1hO5m+3zOCEEH//4x3Hnzh3o9fqE\nDfVra2tDV1eX2GZIgqGhIZSUlKCoqEhsUziTk5MDpVKJra0t9Pf3Q6lUgmVZqNVq9PX1QaPRQKlU\nYmpqCiaTiZdzymQyPP744/R7EwIqJKNlHzHJKhQpKyJdLhcYhgHDMEhPT0dTUxOUSiXkcnlU45nN\nZng8HlRVVfFsKSUUV68CX/yiApubsU0NnMUkDwsnLogdThlvoRSLYJPL5XC73eFPQgjKF/4WpWn7\niEg/+4jJ8kvlqHy1EgBQ+WplXAV2vMnLE+e8+fn5URVNkhIVFRWw2+1YWloS25SY4XT9++fCd98N\nGx4eDL5EpB+nE3juuSWUlT2MpqYm/OQnPxE9jy4W5HI5Tp48Ca1WK7YpouLfpC8tLRXblKior69H\nc3MzAF+RrubmZjQ2NqK9vR0A0NDQgMXFRQAAy7Lc7mchkMlk+NCHPoSxsbHYDE9SolvlJyOE+Kqr\nNjVxF4F+MQkAb74Jy6//Okq+/nXIUkhEjo+PY3V1FXK5HOfOnePlJmO1WrGysoL6+noeLKRwxb8I\n2dxM52U8v5gEgnhl9ls4AXD+v/8Liir+8m383jk/fu/ckd85kpSeMD9+gTZ5eTIiwXby5EkMDw+H\nvv62fXayrTCrVr+YBAKbbOWXypP+7y8GNpsNRqMRubm5oldg5IOGhgZ0dHRwr9adqGyfC/1V4fe5\nbkLBt4j0ocLm5h/h7t1voarqPJ8Di0ZhYSHsdjsMBoPoefRiMDMzA4/Hk7BeZa4sLCxArVbD6XSi\noKAAMpkspjVlcXExDAYDWJZN7rkoGrjEv/ofSZsjuat5cMS5CfdyGrweT0r0LFpeXg40wOY7P88/\nNoUb/f39vIzDR05NRDmTQfKMvRkKYsZvEdPXpmL6fXZ/h6LNF0wGosk/DJufplb75stIvghpab73\nUXhndnaWdHd3J2zuWii8Xm/C53yGhIeaC8LM339DgPMEWJJM7jufDAwMJFR+IB/cvXs3aXKPI2Vw\ncJB0dnYG6nZ0d3cTu91OCCFkfn6e/OpXvwo7xtbWFunu7hbaVMkAjjmS1CMZxCsSUXjqvcqgMgAl\nJSUwm80JW349FDqdDm63G3l5eVAqlbyP73K5MDQ0hNbWVt7HTlb4qGAmzE72ffZ4Jvfbfb+HbMuJ\nUryP+S+nwYyvo/xyRVTnVCgUO67DaL1zyYAgXj9/K6R9PsN98eeO01ZIvGIymWCxWFBSUhII9Uo2\nZDIZjh8/Dr1ez7nSd8IQYi4MEMYz6Zu/CZxOviKhWAD/BUAOgC4AvnHDRpgkGPX19bh9+zby8/Mj\nayuWoLhcLoyPj6OlpUVsU0Rhv7mDYRikpaVhc3OTU7swuVyO3NxcQXt3JyRc1Kb/kXQeyWA7gTFW\nXe3s7EyaymCzs7MB76PT6RTsPF6vl1y/fl2w8ZOVWL23Qnoi9/dMhtl9v/fwIJuY8VvEMbkR9e82\nMDBATKadnsdkrA4qBJy+V+E8KTzNp5S9jI6Okp6eHjI7Oyu2KXFjYmKCTE5Oim0Gf3C9fkJcR2tr\nhKTLWB7n6QUCnCPA3wc9Jj3dd95kIVXWHTdv3hTbBEkzOTnJuUNAKkQeEsLdI5lwgb52Ow+DEAKo\n1cDLL++/E7hPgYhIaGpqQm9vLw+GioPH4wn0fPR4PFAqlVAqlYL2Gerq6gokSlO4YTKZYkqWt9uB\nP/xD4TyRu3E6gT/8LIH9nR+G9WKlw4WHMn4Oxd/9j6iuQcC347y2trajehvNyeMRLn11aRVrXhka\nGoJarcbhw4fR1NSUsMUyoqGmpgarq6uw2Wxim8IPDAO8+SY3jz7gO+7NN33vu0deLsG3/58fQgGO\nY4TkAwBPAvgWgOf2PUKhAL79bfGKSAnBI488ArVaLbYZgsIwDBobG8U2Q9JUVVXBYrFwOrampibp\nvzORkFBC8upV4NChGBueE+ITkOfPA2+9FT6cJAoxmZmZiYKCAs5fSqlgNBqh0Wig0+nQ2NiIpqam\nuIToDg0N4fjx4zSBOULm5uZiWkjm5fkWBYo4aStFlhffJp9FntPK6XjZlnPPwilSTp8+jfX1dd5K\ngacKpaWl3NpH0FZIcUGn00GtVqOsrAzNzc0JVbKfTxoaGjA+Pg4HV/ElZfzh4cE2YXaTk+M73h8e\nfi8s9pnOz+NtfCFGMfmvAP4HgG4ADfseoVAAb7+dHGGt28nJyUFFRQWGhobENkUQxsfH8cADDyA3\nN1dsUySPyxWk+vguiouLcfbsWahUKhiNRoGtkj4JkyPpz+PyemOI0/eLyLfe8j33eEIfH2HVtO3U\n1tZCpVKhpKQkQiPjg8fjgU6nCzxnWRbl5eVxb7extrYGr9eL4uLiuJ430RkbG+Ol4pz/GhIyRxLw\nL0JkeEZbCLybE9e8ulOnTmFsbAxGo5G2k+FIaWkpNBoNtx6u26tX+yM8qIjkBZ1OB6fTiTNnziCH\nq+BIYvzeSLfbnfh/j/2um2Dsvp525VY+g+8BAJ7H38OJaP4uK/B5Iw/s+9NkFZF+SkpKYLfbk66+\nhc1mw+bmZtJXaOUDl8uFtAjuVdnZ2WhpacHMzAxUKhVOnTqF/Px8AS2UMFziX/0PsXIk98vjiriC\nmD8fISsr8sSBKKsN2u123qpqxsrk5CTp7e0NPAYGBsjW1pbYZpHOzk6xTUhIenp6eB0vblVbRcyr\nu3PnDpmYmOBtvGQn4vzbWKtfpzAmk4kwDLNjju7p6SEbG9HnCCcTW1tbpKuri4yOjoptCv9EWrU1\nxPHv4Q+IAhtRzNNWAjwVfv5Ocnp7e8ny8rLYZvDC1tYWXV9FQKxrqoGBAdLT0xPx2vr73/8+790P\n+ALJUrU1WEXJiCqIbd+929yMzIAYvCK5ubnIyMiIa4Unl8uFO3fuwLPL2yqGtzEcOp0Op06dEtuM\nhGNpaYn3nS//NfTcc17e+kgC++xkc9mFF8ibVVtbi/HxcYyPj9MdWiHwf7af+Uxk/XhTmLGxMayt\nreHBBx8UpBJ2MqDX62G329Hc3Jyc6Q+h5sQwnsjdRO+ZPALsExqb7J7I3TQ2NqKzsxMXLlxI+O9a\nd3c3Lly4ILYZCUNxcXGgiisAbG5uRtRBwN+j0u12Y3h4GB6PJ/Ad8lfX9/+bnZ2NY8eOITMzE3V1\ndTCbzVhdXZXcGp0raSSC/D+lUkk0Go2A5uyES1uCsBNdmIk3JDwtaFUqFS8ll10uF4aHh0M2RM3K\nykJtba3ky1nbbDYsLCxQIRkFDMOgSaA2Cn/xF5P467+u5iXMNeS1Gey6jENIpMFggMfjwYkTJwQZ\nP1nQaDRU3AiETqfD5uYmampqaBn5IJjNZszOzqKurg4FBQVimyM8u+fE/ebCnh5ffYcw67ar+IMo\nxOSjAG4FnqWaiPTDsiy6urrQ1tYmtilRo9VqUVlZmRrXjUD4UzuESE9zuVyYmJiAy+XCyZMnkZOT\nA5PJhMXFRUkVRUpLS+slhIRdBEjWI8m1t11Iz6QERCQA1NXVRdUDy2g0YnFxMfA8MzMT9fX1kMsl\n+7FxZnR0NKEn6mSEZVn82q8toaqqOuacybCLEBHz6mpqamA0GmEwGHjJM01W8vLysLKyQhcjPKLX\n63csHih+2icWAAAgAElEQVR7cTgcGBgYQGlpaWr1vNs+J7755v5zIcf+rdF5JvMAzAEoRRa8+Oqv\nLeOZZ1KvqJNMJkN9fT36+voktajnytzcHBQKBZ23Y+TQoUOYmJgQREhmZ2fv0QMVFRU4dOgQOjs7\n8cgjj0jeGbQdSSqSSBukBxWT/vLakbYPyM7mdUFbUFCAqakprK+vB62c5XK5oNfrA89lMhmOHj2a\nsK7uUPT19aGhYf/KcJTwRJIQHglarRb19fXwO6GiFZNcd7JZQuB47TXkAsEXTgJRVVUFtVpNhWQI\nTpw4Qb2SPON2u+nfMwQ6nQ4ejye1BOR2woWHR1Cg55mcHwNtT+P5W78Lp5PLnNoC4GfIwufwMu6g\n8UcLcE41p2TLpPz8fBQXF2NsbCyhIldWVlZgsVgSUgBLjeXl5bg7O/Lz89HW1ga1Wo2KigrJFuvc\njeSEZKQi0s++YpLj7t0O5HLgued4X9A2NDTg9u3bgZhrk8mEu3fvBn6emZmJxsbGhI/LD4fFYsGB\nAwdoKeoYiCQcPRI2NzcDu2DRVnMNJSLHx8dht9sDeQIymQwsy6L4pZdQfm/hNDc/j83NTVRUVAh+\nLZw5cwbXrl3Dk08+Keh5KBTAF6rpjFfT1gRjbm4OJpMptSsf+klLAx55JPTPOeaZP/PG7wLfTeM4\nj/860vA1vIx2fDTnLipfrU5JEenn6NGjGBkZwczMDLfq1RJgZGQkdTdheMbr9cLlcgnaPz0Yzc3N\nuHHjBoqLixNCE0hKSEYrIv3sEZORlNeWy33tQF54AfjGNwTxitTW1kKtViMjIwOlpaUpuTM9MTFB\nQ1pjpKCgQJACTllZWTueRyomd4tIh8OB0dFRAMDW1hZqamr2LXIzMjKCDpcLCo0GDz74IPLy8tDX\n14etrS2cOHFCsByynJwc1NXV0eI7IRDK+51KDA0NweFw4MEHH4yoeEMq4PF4wDAMSkpK6AI4EiIo\n0MN1Hs/KOoMHcqbw9PICKl+tRvml5GmDES11dXVgGAb5+fkJscGx+x5OiZ6MjAxRw0tzc3MTQkQC\nEhKSsYpIP1GJyZwc4I/+yBdO8sgjgoXWFRcXp3S/RLVajUdC7bRSOFFbWwuNRsO7wNqvyTfXRYhC\nAbz1lhdnzgygr8/3WmZmJhoaGsJOhnV1dairq9vxmr/hularhd1uR0VFBfdfJAJKS0sxNDSUULvO\n8YQKyehgWRZ9fX0ghODEiRMJsQiNN/6KtUlbjVVoIsgzDzePZ2cTXLpkwgcfZCH3S7ko/zUqIv00\nNTXhxo0baG9vl/z31Ov1im1CUiHm5y3179p2JCEk+RKRfiISk7RxdlyYmZlBcXFxQiUQSxm+J5kb\nN24E9ZCHW4RkZbG4fNmMs2eXOAnHSGhoaMDY2JighXFOnToVqNBG2UlWVhYcDgctDMOR7QLy4Ycf\nTorCaHyztLSEsbEx1NbWJlT+mSThUqDnHsHm8awsL7785Xm88ko1btyQwV3ovv9DQny1JlK8nU97\nezs6Ojpw8eJFsU0JCcuy8Hg8dN7hAbFzZP0pQImA6JKXbxHpxy8mr16994J/wv38533iEaAiMk6w\nLIupqamkLBwkFnzvPMpksqB5qx6PB2fO9OFLX5pEVtbO8yoUwDvvyPDqq5WC5fieOHECLMvCZDLx\nPjbgy89K5UiBUNTV1QXCkynB8Ydo9vb2oqGhAU1NTXQxtw99fX1YWFhAS0tLIOqAEiP+tU13d9i1\nzDPP+NIPFPdSH7OyvPjmNwleecW3iVZXVwetVou1tbX7Ve/Pn/f9G0tuPiG+1iUC5fcLjUwmQ2Nj\nI+LZ/i4ampqa0NvbK7YZScHRo0dht9tFObfZbE6ojW1RhaRQItJPSDGZlkZFZJxQqVS0Ma6E0ev1\nqKysBODzHGs0GvT19UGj0UCj0UCn06G+vh5/8RfVeOed9MAiJJ59xmpra7G8vIylpSXex87Pz/ct\nnCh78Hg8mJqagtFoFNsUSeJwOMAwDLRaLc6dO0cFZAg8Hg+2trb2hLFTeMBfoCfIWsbtdsNgMKCv\nrw+nTmnwpS9NQiYjeOeddDz77P3v61NPPYU7d+5gUKfD1p/+qS+CixDfv9GKyWgEqRDCM8Yx8/Pz\nUVJSgpGREf5s4hmZTIb09HSxzaDEiM1mS5iKrQB8FSC5Ps6dO0f44r33CFEoCPFd1cI+FArf+QKw\nLCFqte9fiqBMTk4Sk8kkthlJx/LyMhkeHuZlrImJCdLb20t6e3vJ9PR02OPfe4+Q9PRd11Sc6Orq\nIqurq7yP+/777/M+ZqLj9XrJr371K0IIIQsLC4RhGNLT08PpO5LsLC8vk56eHjIwMCC2KQnF8PAw\nWVxcFNuMlKGrq4t0d3eTwcFBsry8vONna2t7j3c4HOTxixcJeekl4snO3rmQyskh5MUXCenuDr92\n8q+xvF5CXnrJ917/GC+9FPr9LOs7Ji3N96/XG/t6bfeYMYw1Ojoq6Tmwt7dXbBOSgq2tLdLf3y/K\nuaXyGQLQEA7aMI1EsDujVCoJH659ux04dAiIZ15wejqwvAzk5cXvnKmO2+1Gb28vrcYnELdv30ZL\nS4soSdl2u3jXkkqlQnFxMS85k1qtFpubmzhz5gzNA9zF9evX8dhjj+35fpnNZiwsLADwNVFOpbBg\ni8WC6elp5ObmUs9alKjVajQ3N4ttRtJjNBqRl5cXWQgxIWgpLcV3V1ZQ63Lt/bm/uv2LLwavbu/3\nQP7t3wIPPwyMjXGvS+F/r7+WhUIBfOhDgFbrO2c0EWS7x+Qhpamvrw/V1dUoKCiI6v1CwjAMmpqa\nxDYj4RkaGkJFRYUoreqk0r85LS2tlxAS1hBRhCQgfFjrduIZgke5j5hCJxVgWRYMw6Tkosxms8Fs\nNoNlWchkskBPyu2wLIuSkpJ9cw2sViuGh4dx/vx5UfpESZ1bt26hubk5bHEsg8GA5eVlAMCxY8ck\nubDiA5PJBKvViqKiIprrHSNWqxWrq6u05Y6AzM3NYXR0FE888QT3N90TXKa//3t8yuUCgxC5T3L5\n/q3S/KLtnXdCL+72E3O7BR+X93D8nYQostjR0YG2tjZJrW90Oh0qKytplWgeEFOQj4+PY3V1VXQx\nyVVIipbMEW3D80ihIlIcxsfHUVVVJalJNtnYLqBS7e9cVFTEaae9r69vXyFZXFwMk8lEReQ+qFQq\nPPzww5wqLG/3Co+NjWFiYgIAcPLkyaTw8I6Pj2NpaQllZWV0l58niouLA1WYU23eEgqWZaHVagP/\nP3z4cFQiEu++iwqXC58F8HkA3wp2vMcDvPWW7/9+MclVRAI+Uffuu77/+6vOhhKR+70nnAAMJUwj\nHWv7mPeq2La1taGzsxPt7e3c3iswJpMJGRkZVETyhJhVU2trazE+Pg6r1ZoQET+ieST9COmZpCJS\nHBwOB4aHh0XfTUkF3G43hoeH0dDQILYpksO/uGpsbNz35zMzM1haWkJ9fX2cLZMuDMOgtrY2Zs+i\nXq+H615oXH19fcK1/RkaGoLD4UBVVRWtLioAHo8H/f39VJzHCMuy6O3tBcuynDd/9qWnx1cMZ9t6\n8GkA/x3Ah0O9Lzsb+MIXgL/5G+C//TduInI7/h7eAPAP/xBcRO5+zy5vonPKCUWl4v4x4bybIcYK\nin/MN98MhNmu2e24c+eO6Gudvr4+HDp0iEZL8ITBYEBeXp7oIk7sMGXJeyT9COWZpCJSPPr7+9Ha\n2iq2GSlBZmYmtra2xDZDklgsFhw+fDjoz48ePQqLxRJHi6SNVqtFRUUFL+Gpp0+fBuBb6Op0Ong8\nHshkMt77jPJNX19foLIo3dkXDrlcjpycHCwtLaGwsFBscxIOf1oDAJw7dy72SsFNTT5xtE14/RTA\neQDdAILGFrhcPvF486YvFzLSRZzD4RNm2dm+sbi+Z5s30fzX05i8PInqK9Uov1TOXUTuM1ZQMbl9\nTH8VWwD5b7yB0tJSUfsNajSapE4riDcWiwVLS0uC9a3mytDQUMKE/4suJAH+xSQVkeIxNDREm0zH\nmcLCwoQJgYgnFoslqDfST2ZmJlwuV8qHuOr1ehw5coT375BfPAI+L1RfXx8AIDs7OyA2xcbv1QGA\nM2fOpPx3IV6cOnUKKpWKFmOLgo6ODrS3t/O3KeNvjQYEBFgOgP8PwKcA/CLUe51OoL8/uvNmZQGb\nm9xFpJ97AnCNWcNU338FAEy9NgUAKH/c4hOnXKPt/GL2M5/xtVDBLg/nfsJ0mwAtfeMNjNntmJmZ\nEa33HxWR/DE9PS2JSAmn05kwn6tktoZ3N8qNFioixWNtbQ1bW1s0FCzO1NTU0D5/u7DZbMjKygp7\n3NraWsoLh7GxMeTl5eGhhx4S9DxyuRxKpRJKpRLV1dXQaDRgGAbj4+OCnjcYDocDKpUKvb29gR6Q\nqf5diDcVFRUwGAxim5FQOBwOHDlyhH/P/vY+2/fmzqcBlAL4P/yeyUdOji8s9sUXff+PFIcDebe/\ngwPOYQAA62AxeXkSziOnIxszJ8d3/D3xYH7dDHWVGubXzdzyLL/4RZw4fhwWiwVra2twTsWhguQ2\naEQSv5SVlYHvFL5oOH36NDo6OqDRaODxeMQ2JySS8Ej6idUzSUWkuAwODtKQVpEoKiqCxWJJrCa2\nAjI+Ph7W09HR0ZHy+ZFGoxFyuRwVFRVxPW9OTk4gr2hlZSVw4z5y5IjgtiwtLWFsbAxZWVnUGyYy\npaWlUKlUooeRJRKCpo74xSQhvmI6Hg++BaAJwCcAlPN1nu25if7zRpFfaX/4v2Cj7yTgJJDlyFD5\naiUUVTl7vKuc7EhLg/l1c8CzOfWXRhT87C+R3//PnAoAKd94Azef7wB5h9wPs92GP8Qf8Im//Pz8\nmFoIzczMYH5+nt7zeaakpCRQNE5MsrOz0d7eDpZloVKpJL22loxH0k+0nkkqIsVFp9Ph1KlTYpuR\nslCv5H1sNhunEE2ZTJYwoSNCMDMzA5fLJfoivqCgIOCpzMrKgkajgUajgc1m4/U8a2trUKlUWFhY\nQEtLS9iwZ0p8ePjhhwMhz5TgeDwe3L59W/iCKmlpvkqsL7wAyOWQAfghgE8HO16h8PWLjMQDuL3A\njV+8Pvcc94XfvTHyb30LlV/x/T0qX628L962e1eD2bXLDueUE5OXJ8E6WAAEVc7/jQO3f8g5z3Lt\n0c8h7bu+l6Zem/J5NO/BMAyOHTuGxsZGNDY2orm5GRsbG5ibm+P2+26DZVl0dHSAZVk0NTVF9X2I\nt9c00XjooYeg0Wjw05/+FDMzM6LaIpPJYs+BFhjRq7YGI5JqrlREiovNZsPCwgIVkiJjs9kwMzOT\n8hVcuTbi7uvrk3zxF6FYWVnB5OSkpMWUwWDA0tISAODs2bNRV6RcWVlBf38/iouL6RwlUbRaLY4f\nP54ULWOEwGw2Y3Z2Fs3NzfGbrwgBXn7Zlz8ol+OKx4NZAP97+zF+Meav2hpLldQYelDuqdq6e0yO\nfST9HskDjiE04o8RSYdJAqAP34Qd972Min9VIP2hdOTl5e1bO8JkMmF6ehqNjY2cvvsrKyvQ6XS4\ncOFC1OLC/Lp5Z3EiSlBYloXBYEBmZmbco3b8DA0NoaKiArm5uXE/N9eqrZJdQXH1TFIRKS4sy2J0\ndJQu0CRAUVERFAqF6DtoYlNVVcXZO5uKItLj8UCn00laRAI+L3tTUxPOnTuH4eFhMAwDrVbLub/X\nwsICenp6MD8/j4yMDFoETMI0NDRgYGBAbDMkiUajASEELS0t8Z2v/J7J7m7ghRdwOScHegCd937M\nKhT3xZhMFtwD6PdYpqWFbrXBxTMZRADuKyK3j7ndrhBitvxSOSpfrYQdH4K99dmIvKz21mexoTgJ\nACBZBIcvH0bto7VQKpVB556Kigq0tbWhv78/sGm2G6vVCo1GA5VKBbPZjPb29phEZCB0d5fXlLIX\nvzcwGs8xXzidTulvsBFCOD/OnTtH4s177xGiUBDi21ra+VAofD+niIPX6yXXrl0jW1tbYptC2YZe\nryeTk5NimyEqDMOEPaa3tzcOlkiPmzdvEq/XK7YZUeF0OklPTw/p6ekhExMT+x5jMpmIWq0mBoMh\n8JrX6yUffPBBvMykRMHk5CSZnp4W2wzJcevWLbFNIIRlCXnpJbKcnU3OAGQzO5vMf+Yzvtf3OY7k\n5PgWaTk5vudeLyFq9d7jQ5yLAIQ8/PDesbiMEWzMtDROYziMjr2/S7DHNrvG/mKMXMd1YvyaMSLz\nHEYH6e7u3vHa1NQUIeT+5x/rOsthdJDruL7n4TA6Yho3UZidnSXf+c53yFtvvUV+/vOfB173er2k\nv7+fOJ1Osrq6uud9XV1d5Nq1a/E0dQebm5tkYGBAlHMD0BAO2lCyoa3b2S/MlXoixYVlWVy/fh2P\nPfaY5OO3UxGdToeSkpKUbQmiVqvR3Nwc8pi+vj7Je+X4hmEYnDhxIil6JFqtVphMJgC+nX273Y7F\nxUWUlpbuW4bf4XCgr68PbW1t8TaVwhHaDmQvLpcLg4OD4rckuBcm+tO//Vu8V12Nr/zf/4vGc+eC\nHoc33/RVQw3VnzHUuRgGUCp9IbOxjLV7zKYm7mOE60m5zbs5NDyM9fV1nDp8CrnHuIch+kNNM17I\nQOv/aYXD4YBGo0FFRQUsFgtOnDjBWy6/3yPJOthAcaJUCG/1eDzo7u7GsWPHkJ2dDbPZDKfTCZZl\nkZGRAcDXCsxut6OsrAzl5ff/JlzWEkIyPj6OBx54QJR7NtfQVskLSX/s+3YxSUWkuLAsixs3buDi\nxYspGRqYKDAMg9ra2pQsKONyuaDX6wOVQfcj1YTk2NgYFArFjptksmAwGJCXlxd242RpaQmTk5Mh\nvxcU8VhZWcHMzIxkeoxKBYPBgKysLNH6FAa4J8Y+88Yb+FBdHb7yla+EPC4i0RbmnLyMFe35w+RZ\nOpxODAwMRLwJsl3YIQuQfVaG/OfyBa1zkIo5kgzDcMqzX1paQmdnJzIyMnDkyBEolUrRN7c0Go1o\n96uEz5EEdvbz8edMpqdTESkmHo+HisgEoampCUNDQ3CEqzqXhGRnZyPcJlkqfX/n5ubg8XiSUkQC\nvnxKLt73wsJClJaWYmhoKA5WUSKloKAAGxsbku+bFk8MBgMsFgtKS0vFNsUn5B55BD/44Q/xgx/8\nABaLJeRxvAg/PseK9vwh8ixNZjOGh4cjFhs7q8QC2ATYv2dxokDYXO7yS+VoNjbHTURKoULsxsYG\np7oJhYWF+NjHPoatrS3I5XL09fXBYDBgZWUlDlbuz4EDB4Lmz0oFya6k9ksKfuYZYHmZikixcLvd\n6OzspCIygWhtbUVPTw/nAiXJRFZWVkqK6N04HA5MT0/Tglj3KC0tRXZ2Nm2XI1GamprAMIzYZoiO\ny+VCZ2cnsrKy0NraKql7rkwmw1e+8hV86lOfEtuU+LBdTO4qGrS4uBiVx0hRqUD1lWrIcnyfqyxH\nhuor1cELB/FIPM4B7HQGicny8jLnYmtyuRwNDQ0oLS1FY2Mjfv/3f39HD9B4U1dXh+HhYVHOzRXp\nzEzb2L1TwzpYTF6ehHPKibw8kY1LUVwuF7q7u9He3i6pGxolNB6PB21tbbhx40bK7fLX19eHnIBT\nRVxrNBpRczykSE1NDTY2NoJ7VCii4e/vyncf0URifHwcg4ODaGtrEz+cNQgf/ehHUVdXh0uXLolt\nSnzwi8nu7oCI9Hg82NzcjHpIf5VYAEmXryiVCrEejyfi/MLy8vIdES4XLlyAXq/n2zTOSL1qqySr\npPh3anYnBcdrF4WyE5fLhZ6eHrS3t4ttStIwPj6O1dXVgChnWRaHDx/et7mwyWQKLHgzMjICvQ8d\nDgeGhoaQdi/kRy6XY21tDbm5uWBZFl6vN5BMnp2dDa1WGxiztLRUGqFSAkMIwfr6uig9mKSASqXC\n+fPnxTZDkpw+fRoMwyAnJycpig8lE3V1dVCpVGF7wSYbbrcbDMOgqqoKtbW1YpsTksLCQnzta1/D\nhz/8YfzO7/xOauSb3wuzXV9fx9DQEGQyWcybdOWXynHkd44k1frW7wzy43cGifF7yuVyHDx4MOYx\nYtkwSHYkXWwnFZOCpYbD4UBvby8effRRsU1JaFiW3dED7+jRoygpKdlxjMViwfT0NNLT03e8fvTo\n0cDumNvtDvRby8jIQH19/Q4PMcuy+3qMWZZFb28vCgoKUFtbC6PRCKvVmhKeqs7Ozn0rdWq1WkGL\nGojN0NAQHnjggZRbjEdKR0dHTA2+KcJgNvs8GMma17sbg8EAm82GpqamhIr60el0+O3f/m3o9fqU\nuIbcbncgOosSHKlUiPV4PNDr9THf62dmZmAymVBSUoKamhqerOPG2NgYWJZFXV1dXM+bdFVbKfFn\nfX0dWq2WlsuPgZmZGVitVgC+UEuxb7Rzc3MwmUxoaWnB+vo61Go1nnzySVFtEpq1tTVMTEzseE0m\nk8HpdEKhUOwIcV1fX0+aBUKqVaWNFpZl0dHRgYsXL4ptCmUXYpfejxcmkwkejyfuC1S++OpXv4r+\n/n78+Mc/FtsUwWEYBufOnUsosS8WUnAGabVanD59mre1l9lsDqzpAODkyZNxCT31Oxri2QaIq5CU\n/PYRFZHisLa2FsjRoESOx+PB6OgoVldX0draKrY5AUpLS1FUVAS1Wo309HSsrq6KbZLg5OfncxZU\nnZ2dAltDkRoymQznz58P6rmmiEdNTQ1GRkbivhMfb+bm5hK6f+af//mf48KFC7h27VrSb0ymp6dT\nEckRKYTtVldX4/3338fHP/5xXsRkeXn5jigJjUaDgwcPCh6K7o9gGxsb41w4KF5IXkhS4s/KygpG\nRkYkJYCkzsrKCsbHxwM3GZlMhuPHjyM7O1ts0/aQmZmZErv8kaLT6VBfXy+2GbwwMzOzJ3SaEpzs\n7Gw0NDSAYRjxG79TAhQVFcFgMMDj8YgezSEURqMRZWVlYpsRMwqFAmtra2KbITjFxcWYmZmRbBEk\nqSG2Myg/Px+HDh3CysqKIGkeSqUSc3NzuH37NlpaWgTdZCgpKYHVasXKyoqk+oPHdVtFCv1kKKFZ\nWlrC2NhYQu+OxgubzQa1Wo2+vj6MjY2hqakJjY2NaGhoQH19vSRF5HbGxsZQXV0tthmSwe12J03R\nFavVmhLFlPgkNzcXDz30EO0xKTGSuR3IzMwMlpeXE16UeDwebGxs4OTJk5LveRcrs7OzdG6NA3zq\nheXlZUHv7aWlpWhpaUFXV9eOsFchqK+v35OqIzZx2+KTQqw0JTQ2mw0GgyFlvFXj4+NYWVlBRkYG\nWJYNFKrxer3weDxobm4Oubs0NjaW0F7btbU1yYVIiEkk+eKU5KS0tBROpxMGgyFh89WSje3tQJKp\ncJTBYIDL5UqKPOY33ngDn/jEJ3DixAloNBoUFhaKbZKguN1uyW8UJzJ864Xs7Gz84he/QHt7u2Ce\nPJlMhra2NoyMjMBqteL06dOCnAcAvF6vYGNHQ1yE5O5+MgComJQYNpsNRqMx6UWkyWTC3bt3Afhi\n54PFtbvdbly7dg2tra0YHBxEQUHBDtHlT7hPVGw2W9Lf7CPFv6FA819Sm5qaGgwNDWFubo56HiRC\nXV0d1Gp1UgjJubk5TE9Po7i4GKdOnRLbHF746U9/io6OjpTozdvc3JwSuaBiIYReeOyxx5CZmQmD\nwYChoSGsr6/j7NmzgqR/1NXVYWlpCZ2dnVAqlYJsONTU1EiqmJ7gKyZ/PxnW4Ztg/P1kaJirdLBa\nrZiamkra3KC5uTloNBpoNBpkZWVBqVRCqVSGFFKZmZl48sknMTk5iTNnzuDgwYM7GtKyLJvQO5JT\nU1PU47KL+vp6qFQqGAwGsU2hiMypU6cwNzeX9GF6iURZWRmMRqPYZkTNysoKVCoVNjc30dzcvG/P\n4ERkamoK+fn5yMjISKo882Do9fqEvvdLGaH0QnZ2NmQyGWprawNRZP6WakJQWFiItrY2DAwMQKVS\ngWEYXjdZioqKJLVpI7hHUlGpQPWV6j39ZMROwKX4sFgsmJ2dhVIZtsJvQmGz2WA2m8GyLIqLi6P6\n/WQyWSA8IScnB8vLy1Cr1dja2kq6vxfF93m3traCYZiEFtljY2M4duyY2GYkPEqlUtBdZUpklJaW\nQq1WJ5QAGx8fh91uB+ArRpOMtQdeeeUV/Nmf/Rk8Hg/W19eRmZkptkmC4nK5EjqlRcrEQy/09fUh\nKysrLpFHzc3NmJubg91uh8ViiTnCxWazQafTISsrC1lZWTxZGTtxCW31u6UnL0+K1pSUspf5+XlY\nLJaEDtHczsrKSiAJ+dChQ7y7/ZOlBL3ZbKYVPUPgrz6YqIV3NjY2EtZ2qdHW1oYPPvgAFy9epCHP\nEuDUqVPQarUxNxcXkvX1dQwNDSEjIwPHjh0TvC2A2BgMBly8eBEdHR1J3z7HarXi0KFDYpuR1Ait\nF7a2tuLaM7i0tBQejwfd3d2QyWQxrb2mpqbwxBNPwGQySap1W9yK7UihnwzlPjMzM1hcXMTDDz8s\ntilRs7a2hjt37gSeHzx4kHoKOWC1WunfKQSrq6vUA0UJ0N7ejo6OjrguPij7k5ubC6fTKdl2ICMj\nI3A6nUlfa8DPv/zLv6CxsRF6vR719fVJu9nCsiy0Wi1YlqX3zjgglF7Q6/WiFBiUy+WBQjzLy8tR\nOyUUCgUcDgcqKip4tjA24joTUxEpDWZmZrCysoKzZ8+KbUpErK+vY3R0NPD8wIEDdFKPgmS92ceK\nw+HAwMAAysrKkj48i8IduVyOxsZGqNXqlBEIUqa5uRkMw0jqs3A4HOjv70dtba2guVdi4XK50N/f\nH1jIdnV1oaurC2q1GlevXgXLspLqa8c3fm+rFDcvkhUh9MLKyoqg1VTDUVdXB4vFgs7OTly4cCHi\ntZjD4UBOTo5A1kUPvSpSgO27aYCvzYHH44HVapX0Tc/hcGBoaAhpaWkAfLsxVDjGhkqloi0/gjA6\nOpMeQvMAACAASURBVJrwOUxSSsBPJvLz81FRUQG9Xi/qQoTi2wjLz8/H0tKS6JWn3W43+vv7kZGR\nkdR5c88991yg0FFGRgbOnj2L559/Hv/0T/8kqVwtIVhaWsJDDz1ERWQSwLKs6GKspKQExcXFUKlU\nqKqqiihvMj09XUDLoodeGUmM1WqFyWRCWloaGhoa9kyEWq1WUkLS5XLtqIyqUChw7tw56kHjCa1W\ni7q6uqTeOY4FmUwGl8uV0GGtVOgIR0lJCZxOJ4xGY0IVfElG/O1AxPJKrqysYGxsDBkZGWhqakr6\ne5ROp0N/f7/YZohCZmYmrd6cJPg96mJ79fyF/cbHxznnfPt7nUsRKiSTEL1eD6fTiaKiopAtPcT+\nUu4WjtnZ2WhsbEz6m7IYWCwWZGVlUREZgoaGhoQPX/R4PDQsV0Cqqqqg1+slH82RChQXF8e91+fc\n3BxmZ2eRm5ub0PNEJDgcDqSnp6dsj93c3FwUFhbCZrMlRR/TVCY9PV1Sn2FtbS3W1tbQ2dmJhoYG\n5ObmBj3WaDSisrIyfsZFQExC0jnlpHmPEmFtbQ1jY2MAfLu1ob6QYuF2u6HT6QLPMzMzqXCMAyzL\nYmJiIukr6vGBVENHKNLh9OnTUKlUyM/PT2jvdaJTVVUFtVodFyFpMBiwtLSE4uLipO23HIwPPvgA\nTU1NuH79Oh5//PGUu1+vrKxgYWEBDzzwgNimUJKQ/Px8tLW1oa+vDwcOHAiaelRTUwOGYSQlhP1E\nLSTNr5sxeXkS1VeqaTsPEbFYLDCZTDhw4EDENzihbwgejwc6nS7g+fQXrUi1G5HYdHV14fz582Kb\nkRBE6uXweDwYHx+H0+mE1+sNCFH/d14mk4FlWVitVnzkIx8R/LsvdpRBqtDS0kLbgkgAIT1F/ogZ\nQgiqqqoSurdsLHR0dKC9vR2PP/54yolJs9mMpaUlugmbBLAsi/X1dbHNCEpjYyPm5uZw+/ZttLS0\n7HuNSXWjOyohaX7djKnXpgAg8C8Vk/Flbm4O09PTKCoqijrEhu9F5+6iPjKZDPX19TRJXUQ0Gg0+\n9KEP0c+AI+Xl5ejr69tXSPorF2ZlZcHr9QaKQB0/fhy5ubkhF1culws6nU7Q/ncOh4N6yOJIe3s7\nOjs70d7eLrYpKUttbS3UanXMQnJ3KymZTEYjZu4xMDCAL33pS5DJZHj88cehUqmSurCQH5ZlMT09\nnRK/aypw48YNyW8IlJaWBgrx1NTU7Ok5KdWN4ohXl84pJyYvTwaesw4Wk5cnaY/IOGE2mzE/P4+S\nkhLRczRYloVOp4PH4wFAhaPU0Ov1OHr0qCRDIaTM+vp6YFNku2CUy+VRV3XNzs7G1tYWn2buYXh4\nGI2NjYKeg3IfuVyOhoYGMAyTcuGOUiI9PT2qvpJutxsMw0ChUODAgQNUNAbBX28B8N3jFYrUWOdJ\nddFOiY78/PyEqB8gl8vR2tqKkZER2Gy2QPE8KecoR7ziV1QqUH2lGlOvTYF1sJDlyFD5aiUVkQJj\ntVphNBrx4IMPiiYgWZaFXq+H2+0G4LupnD59OiEuzlTDYrEgIyNjz44WJTwNDQ3QarW8f7eLi4sx\nMzODo0eP8jbmdmQymWRvNMlKfn4+ysrKaLVcEWlsbERvby9nMT8yMgKn0wmWZam3KQqE3hCTCt3d\n3bhw4YLYZlB4ghAitgkRUVdXh5WVFXR2dkKpVKK/vx/nzp0T7HwejwcdHR3IzMyMuMdlVK4jfxjr\n5OVJVL5aScNaBWR9fR2Dg4MxhbBGC8uyGB4ehsvlCrx2+vRpGj6XABiNxoTviSgW+fn5gnj2Kioq\noFarBROSFHHwtwUxGAwpm0cnJqEWPCzLYnx8HBsbG4HX/KHolPB4PJ5ARAbgS5U4e/asiBbFB5vN\nhoKCAroxlyRIuXVGKHJycpCRkYEPPvgASqVSUKfNL3/5S3zkIx+BTqfD+vo68vPzOb836hjE8kvl\nNJxVQFiWhVqthkKhiLsgGB4exsbGBtLS0nDy5EnRe+5QIkOv16Ourk5sMyj7EG0YHkXaVFVVYWRk\nBOPj46itrRXbnJSjvLwc77//fqCy5nYBcOzYsYgWRZT7qNXqQMsBs9mMvLy8pN9IttlsmJqaglKp\nFNsUCk8wDIOHH35YbDMiRqfTCd6n1mw2Q6fTob6+PhDVtLa2Fh8hCYCKSIHQarXY3NxEc3Nz3HbE\nZmZmMD8/DwA4ceIEvfEmKCzLwm63036REiXSMDyu2Gw2HDx4kNcxKZFRV1cHk8mEvr4+mqsqMBaL\nBXNzc4HnXq8XTz/9NN2g4Znr16+jpaUFBoMBHo8naGuCZMHj8WB0dFTyRVko4TEYDFheXgYAPPjg\ngwmZgiV0usra2hr0ej2eeuqpwN+nvr4e4+Pj0Gg0nMehs66EGBsbw8rKCs6cORMXL6DD4Qh8WUpK\nSmjBiCRAq9XSz1HCCHVToDvo0qCiogIHDx7EjRs30N7eTkPjYsDfd9j/N9xeDbyoqIiK9Tig0Wjw\nl3/5l9jY2EB9fb3Y5gjOzZs3aUpIkrC8vEzviUFgWRZra2vQ6XT42Mc+tufntbW1cDgcnMejQlIC\n+Cux1tTUxHXHb2Njg+68JRler5fuykscGt6a3BQUFARagzQ0NNDojjCYzWbYbLYdVQlZlqXtNyTA\n0tIStra2UmJBbrPZUFpaSlN5RMI55eQtytFoNOLAgQO8jCUmXq+Xl3G0Wi08Hs8OD+fBgwfxyCOP\nBH1PJNdBRCsZ1p14yapSxmazwWAwiFaJ1Z9PQqFQ4kd9fT10Oh1vHhWWZbG5ucnLWBR+kMlkaG9v\nB8MwKCsro9WT94FlWahUKpSVlVHvooRJZiGvVqvhdDqhUCigUChSwusqRcyvmzF5eRLVV6pjLt5p\nMpng8XiSok5Eenp6zGP4NzSFLDAWkZDcGNyA+XUzrdIaIw6HAwMDAygsLBS9FyQlebBYLCguLhbb\nDEoY+PJEejwe9Pb2AgCdRyRKU1MT9Ho9nE4nqqqqxDZHNIxGIxYXFwMl+NPT08GyLFpaWpJaqCQy\nLMuCEJK07T6sViuKi4tx5MgRWsVXRMyvmzH12hQABP6NVmP09fVBLpcnzYZArJVmdTodTp48Kfj3\nO+IVTawfdCrDsiwYhkFGRgaNw6fwzszMTEqEICUDsdwgHA4HBgcHIZPJBK/oRomd06dPw2AwBCrj\npRJ+Ef3QQw/RuSnBGBkZQV5eXlJ60/2tzS5evCi2KSmNc8qJycuTgeesg8Xk5cmoOkKsra0hMzMz\nafr5ut3uqO/tBoMBq6urKCoqQmFhIc+W7SViIRnLB53K+Cuxnjt3juZGUQSBCorE4fjx4xgaGsKp\nU6c4v2dlZQVjY2PIysqiHsgEo6amBlarFSqVKiU2Ea1WK8bHx3H27Fnq7UlQ/vM//xNVVVWoqKgQ\n2xReUavVSE9PD5kfRokPikoFqq9UY+q1KbAOFrIcGSpfrYxKW/T3T+Cxx5InRJ5hmKjvFUtLS3Et\nuhixoonlg05F9Ho9NjY2cPbs2aTvv0ShULiRn5/PuSqa1WqF0WhEfn4+FZAJTHFxMfLz83Hjxg1c\nuHAhIcvRc8FiscBkMqG1tVVsUygRsLa2htu3b+MXv/gFhoeHodfr8f7774ttFi/MzMxgenoacrkc\np06dopsbEsIf3Th5eRKVr1ZGFe149Srw7LMP4zvfAZ55hm8L44/JZEJZWVlUzoG5ubm4t3+LWEhG\n+0GnGv5WHnV1dbRqH0VwDAZDoHE0JTEoLi6GxWIJGjo2MzOD2dlZFBUVUQGZJGRnZ+PixYu4ffs2\nTpw4gaKiIrFNigmXywW9Xg/AFy44PT2NxsZG+n2VKEajEbdu3UJ/fz9GRkbgdDoDeatZWVnIzc1F\nS0sLPv/5z6Ouri4polyMRiMmJydRVlaG48ePi20OZR/KL5VHHeV49Srw/PMAy6bh+ed9ryW6mOzv\n78dTTz0V8ftYlsXk5GTcuzGk+ScRLjTWN5I+XZ+A5iQ+BoMBS0tLqKmpiUtscixotVo0NDSIbQaF\nB2gT9MSEYZg9IShGoxFWqxUlJSVJF1ZGuY9Op0NeXl5CFeFZX1/H6Oho4Hl2djZOnjwZEBz7fZ8p\n0uDpp59GdnY2Tp8+DaVSiUcffXTHRoZWq8WxY8eSxltns9lgNBpRWFiImpoamM1mLC8v4+zZs2Kb\nRuEJv4h0Ou+/plAAb7+d2GLS39/90KFDqKmp4fw+lUqFpqYm3tLn0tLSegkhYZPbIzqbLDPxd6eE\nwmQywWKxoKKiIqIPnkKhpC4ZGRlwu93IzMzEyMgI1tbWUFZWRj06KUB9fT0MBgP0er1kC0SsrKxg\nYmICMpkMLMviwIEDIYvmpKWlxdE6ChfcbjfeeustlJaW4h//8R/3PYZlWWxtbSWNiAR8GzVPPPFE\n4Hl5eTkOHDiArq4uXLhwQUTLKHywn4gEfM8T3TNJCEFTUxPMZjNu376N5ubmsOLQbDbjoYceEqUG\nC636EiNWqxUGg4Eu/igUSsTU19fjxz/+McrLy1FbW5sUva8o3KmpqYHNZkNnZycuXLggeijh0tIS\nJifvV1E8ePBgRNVW8/LysLa2RtM5JML8/Dy0Wi3+4R/+Ad/97ncDno6GhoYdC85k9CTn5eXtee3w\n4cNobGzEjRs30NbWRgsfJijBRKSfRBaTGo0mUISvvLwcR48ehUql2pFzPjIygvX1dbAsi4qKCpSU\nlMBqtYpWGZteRVHicrnQ39+PwsLClKjCR6FQ+INlWWi1WmxtbeHDH/5w3JPjKdKhqKgI58+fDzSO\njrcIs1gsmJmZARC5cNyN3W5HbW0tX6ZRYsRsNuPKlSv4/ve/H0h9YFkWOp0u0IKIZVkUFxeLvonB\nN8G849nZ2Whvb4dKpUJdXZ3kU5AoOwknIv0kopicmZnB4cOHkZOTE3hNJpNBLpdjZWUFBQUFcDgc\n2NzcDGz8qFQqQVr0rK2tcT6WCskIYVk20PSUCkiKVIi1cS0lPng8HvT29gIAreRMCSCXy9He3g6G\nYVBWVhaX3n1LS0sYGxtDaWkprzvZbrebfq8lwg9+8AOcPXt2R/68TCZL+toIer0eBw8eDPpzmUyG\n1tZWaLVarK+vo7ycFpD8/9u716C2zjMP4H8dcUfGGGRF5n6xuNoYZGRMaJlMGrepp9NOMslsPb14\nYrfZpE2XbTNtnH7I7GSyuUy2dRKnkzh1dtrZnU7ifsk4HSczyWZcG4wVGVmIi5CFuAghC0xByELo\ncjjaD8pRwQZbAt31/L4kltE5LxhJ53/e533eRBBsiOQlWpi8cePGupUBCoUCer0eBoMBHo9nzewk\nP6teU1MDvV6P2traTZ9/cXEx8LoZHh4O+nkUJIPEB0ifz4eWlhYqiSBxJdnuJicbp9OJgYEBMAwD\nhUJB/15kXQqFIrBlVCTX2ns8HgwPD4e9u19ra2tSlkkmoqGhIXzxxRfQarWxHkrUcByHixcvoqGh\nARKJ5J5f39zcDIPBEPKeviT6Qg2RvEQJkyzLbjiLzjDMhsteMjMz4XA4kJOTg+VQfzircByHqqoq\nGAwGsCyLwsLCoJ9LaegeKEASQjbLZrNBr9cjOzub1lCToOzZswfj4+PQarVoamqKyDm+/PLLiDUc\nEQqFETkuCc33v/99fPDBByl100qlUqGzszOk71kmk8FqtUKpVNJ7dJzabIjkJUKYvHLlyqbek5ua\nmnD+/HmwLIvvfOc7mz4/v+OEw+HAjRs3QnotUCragMlkwszMDAAkbYCkcsjkwrJsUv6eJiK+9XxO\nTg5dnJCQVVZWYnZ2Fr29vWFbQuHxeHDt2jUwDLNmyw6SfJ5++mkcPHgwbrsBR8L8/DzS09M39Xst\nlUohEonwxRdfoLOzkz5H48hWQyQvnsOk0WjE7t27N/2efPjwYbAsu6X39P7+fgD+HShCLfWmV8sq\nNpsNBoMBAoEAUqk06ctz6EIieTQ0NGBkZCSlLhzikdVqxdTUFPLy8pL+/YNElkQigUgkwsWLF3H/\n/fdv+uLWYrFgenoaQqGQyqqT3PT0NKamptDd3Y2BgYFYDydqjEYjFhcXt7SXskgkwgMPPACVSpXS\nN/8GBwfhcrngdruxffv2mF5ThCtE8uI1TC4sLGx5KcNWb35oNBoAwNTUFL7+9a+Hdu4tnTkJsCyL\na9euAfC/kdDFH0lEdHEYW2azGdPT0xCLxfQeQsImJycHX/va19Db24vGxsaQuvuubqZDv5PJb2Zm\nBgsLC9i5c2dKdc41GAzIzMzcUojkMQwDiUQCo9GYMvuBOxwOjIyMAPDvX9jY2BjoGspvFxML4Q6R\nvHgNk7HGz0h6vd6Qn5uyQXJoaAgOhwNCoRD79++nC3GS0EZGRlBXVxfrYaScyclJzM7OQiKRpPRd\nbBI5fIdJfrup8vLyoJ4XiWY6wVhZWYn6OYl/OY5CocC5c+dQUlIS6+FExdzcHJaWlsIanCsrK2E0\nGpM6TJpMJszOzoJhGGRmZm7Ytdnn88HpdK7ZjiIaIhUiefEWJuMhf/T390MqlcLn84X83JQKkqvX\nPcpkMtq7jSQNoVAIlmWRkZER66GkBKPRiLm5ORQXF9NsD4mKlpYWGI1GDA4O3rPcrLe3NywzNJsh\nk8moC2YM8B0fR0dHUVVVFePRRMfw8DA6OzvDftzq6moYDIakCZP83qEsywIASkpKgtryp7S0FGNj\nY1Etb410iOTFW5iMpfn5edhsNtTV1WHXrl0hPz9sQXJoaAhZWVlx+aLjOA4XLlzA7t276aKPJKXy\n8nJMTk5u2CKahIder4fNZkNlZWVcvteR5FZdXX3XJjxWqxWTk5Oorq6O+iwCLz8/HzqdDhzHxcWd\n9lRRVlYGrVaLiYkJfPOb34z1cCJOqVTiwIEDETu+TCaDXq+HVqtFVVUVbt68icrKyoidL9z4klWf\nzweBQICmpqaQbzRLpVKYzeYIjfBOt24Bx48D0SpqWF72n+/RR4Ft26Jzznik1Wqxd+9eCASC2JS2\narVaLC8vo76+Hg6HA729vZDJZBCLxVs9dFjwIZI6cZFkJhKJtrSHELm7oaEhOJ1OVFdXb2nDX0K2\nSiKRIC8vDxcvXoRCoUB2djYAwO12Y3h4GA8++GCMRwjs378fGo0mZrOiqUgikWB5eRkjIyPo6uqK\n9XAiSqfTobq6GllZWRE9T21tLWw2G6anp1FYWIju7m7k5OSA47hACXd6ejr27NkTF9VAZrMZVqsV\nPp8P2dnZQc063ks0bwZt2wa8/350ZiQBIDsbeOed+AyRFosFU1NTSE9PDzzm9XohlUqDXt4QLI1G\ng3379kGv18PlcoX8/E0nK41GA7fbjcbGRohEIgBAXl4eioqKoNPpoNfroVAoYvrislqtGB0dpRBJ\nCNkUrVYLt9uN2tpa5OXlxXo4hAAAsrKy0NnZiStXrqCoqAg3btxAeno6HnjggVgPDQCQkZER8p1t\nlmWhVCqRmZmJkpISSKXSCI0ueZWXl2NhYQGZmZmxHkrE2O122O32qFXf5OfnB5ZBrbfmmOM4DA8P\nr7kAb2hoiEpFAMdxGBwchMfjAeCfQQxHeIwlvsw00mGSD5HxUNaanZ0Nm80W+D3jOA6Tk5PrVp1c\nvXo1rEFyeWIZ/f39OHjwIMbHx+F2uwH4+z8EK+R0pVarsbKygr179254N6i+vh4cx6Gvrw/p6elo\nbm4O9TRbYrfbMTQ0BIlEEpNmA4SQxMVxHNRq9R0d7AiJN4WFhRgbGwt5E/Zo2LdvH3p6egIzpoC/\nEc9Gy0s0Gg3a29vBMAzUajWysrKoj8Em5OTkwGw2J23DHY1GE5F1kZvFMMyaNYR8sFxeXoZAIIBc\nLg/ra5OfdeTt2bMnojOzy8vL6O3tDVtn3GBEOkzeNUT6fIBKBSgUwFfrjiOtvr4eKpUKQqEQgL+6\nJBrL8EyvmTB2YgyqIhWefPJJfPLJJ3C5XJifn8fREBJ2SEFyaWkp6Cl8hmGgUCgC5a5SqTTi9eUs\ny6K3txc7duwI2ybOhJDUwN/84jgOLS0tcVGqRMhqHMfBYDBgaWkJLMuiuLg4bmYhb5eVlYWOjo41\nj/FNqtZb+sIwTOCCWy6X4+rVqwk/uxIryVqBdfXq1YiuiwyH1cGSZVmo1Wp4vV4oFIpN/7sYDAYs\nLi4CiP6sI/8adjgcUCqVyM7ORlNTU8TPG6kwec8Q+atfAW++CXR1Ab//fdTCZLT7t5heM2HixQmw\nYDFqGYX3L17s3LkTLpcLr776Ko4ePYq///3vQR0rpN/q3NzckC+uRCIR2tvbYbFYNr1+cn5+HhMT\nE8jIyNiwe9Tk5CQsFguysrJoU3aSkjiOi/UQEhLLsujr6wPDMGhpaUnaizCS+Pr6+hK6zLq6uhoq\nlWrda4DbS2HjbYY1kSTjFixarRa5ubkRXxcZTmlpaWhtbQXHcVAqlZBIJEE3adPr9bDb7QD8r5tY\n7w0qEonQ1tYGq9UKg8EQlfGEO0wGFSLfe8///++95388imHyXvR6PWpqagJ/ZlkW3d3daGxsxM6d\nO4M+zvLEMsZOjAEApjAFCSTg3uaQfTwbbrcbly5dwiuvvIJjx44FdbyoXTEVFRUFtX7S5XJheHh4\nzWPbtm2DXC6HXq/H/Pw8CgoKAn/HcRx6e3tRUlKC9vb2mG6gSghJHB6PB319fUhLS4NCoaALVxLX\nrFYrhEJhwoZIXn5+PvR6faBpldPphFqtvuMGML0eN8flcqG0tDTWwwir7u5uNDc3B/pxJBqGYdDe\n3g61Wh3Yd/h2Ho8nsCk8gLht7GaxWKK6XC1cYTLoEOl0+h9zOuMuTN66dQsymQw9PT344IMP8Ne/\n/hUzMzP49NNP8a1vfSvo42RXZKPq1SpMvDiBUecoqoXVyHg6A6JtIszOziI3NxeeKU/Qx4v6rffV\n6yeFQiEyMjICC4UB/yL95ubmdT9EamtroVKpAkFyaGgIDocDbW1tNItAUprZbKbmFEFyuVzo7+9H\neno62tra6IKVxDWPxxOYxUuGLqgymQwWiwUqlQoCgQAZGRkbNjEhoeE4Dl6vF0VFRbEeStio1Wo0\nNDQkbIhcTS6XB/anFIvFqKiogFqtBsMwSE9Px/79++P+88jr9UZ9jFsNk1lZHJ591ogf/agayxNu\nZFf8c932uiGSF0dh0m6349SpU7hw4QJEIhGOHDmCkydP4vnnn8dDDz0U8vHKnisDABhPGNH6jVZk\nPZGFrL9l4eOPP8axmmNQViohhvi+YI4Vk/TFr590Op1gGCakUoW8vDzMz89jeHgYNTU1d2x6XFdX\nR5shk5RjtVppPdE9OJ1ODAwMBAIkIfGOL2/jm9AkC75C6W6SsTwz0i5fvozCwsJYDyOsOI5bU4WW\n6GQyGWQyGWw2Gy5cuICqqqqE2pO4vr4e3d3dUW9kWVenxIkT9+Hll0vhdguDfp5/JpLBD35QiZ5n\nerDyzgoynskA+ziLPY2NKHjppfVDJM/pxMq774Lx+SA4eTKiYXJ5YnltyF3l3Llz6Ovrw8cffxzY\n8/Ho0aP42c9+FmjSE6qy58ow97c5/PAXPwQAZGZmwqQ3oWGoAT74sAM7grojFdNPppycnJDr3Wtr\na6HRaHDgwIE7ygPm5+eh0WgSatNYQkhk2e12KJVKXL9+HW1tbUkxq0OSn16vR1ZWVsqWXYtEIths\ntlgPI2HY7Xb09fVFbVuMaNBqtairq4v1MCIiPz8fhw4dWtOBNRHk5eWhpqYGarU6audUKpWora3F\nCy9U4PRpIbLXz1p3WF3OavmdBb4/+wAA7H+zqLhcjpWuLqy8++7GIfIrQpcL3OnTuHHkCIyjo3f8\n/fLE1hdwml4zQVmphOk107p/z7IsampqUFRUBIFAgJs3b+LcuXM4fvz4ls47cH0A+/btg8/nw4J5\nAYJbAviW/T8nAQRBffAkZD3o7RsuO51OXLt2DQUFBbTdB0k5ZrN53TUXqc5ut0On0yE3N5dmIElC\n4ffwCvfG04mEb4kf7W6GiUqv12NlZQUVFRWxHsqWWCwWWK3WQJluMpS03k12sKkojlgsFuzevTsq\n59JoNMjMzAxsBRRsmevqELm6uQwAcE4ON58/D7ngLxD4fEGNQ+hyYdfZs7AdO4arq25wCc8Ksfj6\nIqperQqUi4aK76AKIPDf24/Fsix27NiB8fFxiMVinDlzBo8+8ggKjUagoCDkmdKFhQVMTk7C6/UG\nfr4X+y6ioaYBjJkB5+Tggy+o9QUJf5tzcHAQIyMj6OjoSKo7cdFAa1CSw/T0NMrKNvcGlozm5uag\nUqlgMpnQ1tZGXZxJQjEajVhcXIzLRhvRJhAIwLJsrIeRMCYmJqJ2gR8pFosFcrkccrk8JbZxS0tL\ng8vlivUwQlJWVoahoSGYzeaInketVqOuru6O5j5Hj/pD4kYZ/PbGOnxzGSbHH3mYHAY7XzkMQVcX\nEOw+0Tk5QFcX8g8dQmtrK1pbWyH5Pwnsb/s76479xxgu/+JyyDPMfMjlnP7rcc7JYezE2B2znCsr\nK0hLS4NQKITT6cQ777yDZ9xu4OBB/xrPDQLxerOlbrcbbrcbExMT2LdvH9xuN4RCIWZmZlDSVoKK\nFyoAAAtYsATzPSR0kFQqlSgrK6NStU1KxXKpZDM5OYldu3bFehhxQafTQaVSYWFhAQqFggIkSSgm\nkwm9vb3Izc2Nyj5tiUAul+PatWuxHkbcM5lMKC4uhtlsTtgb6gaDASqVKlBdkyrXJ7t370ZPT0+s\nhxGSgoICtLe3Y2pqKiLHdzqd6Onpwfbt2zdc/rZRmNyoO2vZc2WBgFTxQgXKTpT7G+g8+eS9w2RO\njv/rVjXc4QMgXwYKF+B524Mb126EFLDXC7lVr1bdsVaSZVkIhUI0Nzfj7VOnULaygpaPPvrnViXr\nhMmNymVnZmZgsVjw1FNP4Ze//CVKS0tx69Ytf7dWjwfbn9qO4svFmMPcTDDfQ0KWtvLS09MTUufE\n4gAABfdJREFUvhV6LBUUFODq1auBjaAbGhpoE/YEMzs7m9KlXzabDQaDAYC/iQFf/kJIorBarRgf\nH0dxcXFKzMCEgg8THMelTLDYjLm5OcjlcszPzydkj4ju7m7U1dXFfK/EWNhMr5B4IZPJwl5+rtPp\nsLy8jI6Ojnt+7e1lrnfd4gP+MLnzX3b+M6QJBP5wCGzccGedEAms3UKDc3Jgchh/QP12GXQ6Hcxm\nM0pKSoL6nvky1rETY/5jrFMiu7Ky4p+NXFrCuZMn8czCAsDveLFOd9mNymX/8Y9/YGJiAo899hhO\nnz6N7373uwCAl19+GYcPH8aZM2dQXl6OF198MaixAwkeJL1eL33AbEFZWVmgJJJlWYyMjMDj8YBh\nmDVlrzU1NUm/TiERmUymlF0bqdPp4HA4IBKJUjpIk8Q1NzcX2AaAAuTG9u/fj76+Pnqd34Xvq5kI\nn8+XcFuhXbhwAQcPHkzYMLVVdrs98O+XaMRiMUym9ZvDbJbD4Qjptc6HxuPH7x4ieXd0Rb1bmNwg\nRPI2CoD8+u5ggyR/rDUhd5XFxUV89tln2LtnD758/HGMzc7i0dt/Z1aFyeV/+0+MnRiDAw5ooUW7\nsx1jJ8ZQ+FghLg9fxhNPPIGXXnoJjzzyCAD/EkG9Xo/nnnsOpaWlePzxxyGRSNDV1RXU2BPrHec2\nFCLDJy0tbd1SQI7jYDAYsLS0FHhMIBCA4ziIxeKUbgYRSxzHYWpqKqi7dslEp9PBbrdDJpMlbAkX\nSW12ux16vR55eXnUBCoIDMNAJBLBYrEk1f6I4cKXvCUCj8eD8fFx2O12FBcXY3x8HPfff39KV0Jd\nv349YZtEWiwWuN3usByL3y93M1uhHD0KPPoosG3bJk++Xpi8R4jkbRQABZvYJmS9EPnZZ5/hJz/5\nCb798MN4ymTCy59/jn/1+bDuK+arMJkNoOqVf8d/vfA7/MH7B3xD+A288cIb+Hzwc/z0pz/F66+/\njkOHDgEAPvnkEzz//PM4e/Ys8vPz8fOf/xxerxcWS1DLIwEkaJC0Wq0wm80pWQYRbQzDrGn6MDk5\nidnZ2cCf12sBLZVK4+ID32azQa/XQyaTJdU+VIB/v7ADBw7EehhRQwGSJKrx8XFYrVakp6eDYRjk\n5ubS7FqI6uvrodVq4fV66eblbbRa7R3NSOKRRqOB2+3Grl27UF5ejunpaezduzelQySAhJ2NBPyf\ny+GopnA4HFCr1ZDL5Zuuftt0iOStDpNvvhlUiOStFwALCwtDKm+93a1bt/DrX/8a58+fx5k//hEP\nnT+PhT//GR+urGD4bk/8KkyWPQmoy9T4rfG3GJWP4nv/8z0svLWAt956Cx0dHbjvvvtw6tQpfPjh\nh7hy5Qrm5uYCFW7PPvssZmaCWh4JIEGDZFpaGnbs2AGxWBzroaQEjuOgVqvh8/lQXFy85iJovQ91\ns9kcCJh8iSzDMBCLxVHpLjo+Po6FhQWkpaWhra0Ng4ODMBqNSXPxptPpUFNTkxIfwBQgSaKan5+H\nXq9HaWkpla6GQVNTE5RKJQXJ2+zduxf9/f1oaWmJ9VA2pNFoIJVKIZVKA49tZuYp2XAcl5Bdifm9\nmbOzs5ETbNfTDfDLVDo7O8M0ui3gw+SRI4BCEfKWGqtVVlZCp9NBrVajpKQEZrN5TQUlf23sdruR\nmZmJlZWVwDXqpUuX8OMf/xgPPvggBgYGsF2vh++tt/C/AB4GcM/2ik4nFt94A/05Ofho6COIG8T4\n05/+BKlUio6ODjgcDvzmN7+ByWTCpUuX4HQ6kZubCwB4//338emnn+LkyZM4e/ZsUN+rIJS7IQKB\n4CaAyaCfQAghhBBCCCFkU8qB0gJAzASx2wYHcPPA3CSwlba6cwDg8/kevtcXhhQkCSGEEEIIIYQQ\n6lRDCCGEEEIIISQkFCQJIYQQQgghhISEgiQhhBBCCCGEkJBQkCSEEEIIIYQQEhIKkoQQQgghhBBC\nQkJBkhBCCCGEEEJISChIEkIIIYQQQggJCQVJQgghhBBCCCEhoSBJCCGEEEIIISQk/w8FAalSsSQO\nswAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f6af43cbac8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "Bm, fig = create_basemap(df_full['lat'].min(),df_full['lat'].max(), df_full['lon'].min(), df_full['lon'].max() )\n",
    "x,y = Bm( df_full['lon'].values, df_full['lat'].values)                           \n",
    "Bm.scatter( x[::5], y[::5], marker = 'D',color = 'm', s = 10 )\n",
    "\n",
    "rain = df_nondup[df_nondup['Precipitation']==True]\n",
    "x2, y2 = Bm(rain['lon'].values, rain['lat'].values)\n",
    "Bm.scatter( x2, y2, marker = 'D',color = 'R', s = 80 )\n",
    "\n",
    "rain = df_nondup[df_nondup['RainAlert']==True]\n",
    "x2, y2 = Bm(rain['lon'].values, rain['lat'].values)\n",
    "Bm.scatter( x2, y2, marker = 'D',color = 'B', s = 400 )\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 82,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>index</th>\n",
       "      <th>lat</th>\n",
       "      <th>lon</th>\n",
       "      <th>Key</th>\n",
       "      <th>EnglishName</th>\n",
       "      <th>time_offset</th>\n",
       "      <th>DateTime</th>\n",
       "      <th>EpochDateTime</th>\n",
       "      <th>IconPhrase</th>\n",
       "      <th>PrecipitationProbability</th>\n",
       "      <th>Temperature</th>\n",
       "      <th>WeatherIcon</th>\n",
       "      <th>Precipitation</th>\n",
       "      <th>RainAlert</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>40.79329</td>\n",
       "      <td>-77.86014</td>\n",
       "      <td>335315</td>\n",
       "      <td>State College</td>\n",
       "      <td>0</td>\n",
       "      <td>2017-11-05T11:00:00-05:00</td>\n",
       "      <td>1509897600</td>\n",
       "      <td>Cloudy</td>\n",
       "      <td>49</td>\n",
       "      <td>54.0</td>\n",
       "      <td>7</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>3</td>\n",
       "      <td>40.81276</td>\n",
       "      <td>-77.82821</td>\n",
       "      <td>2155957</td>\n",
       "      <td>Lemont</td>\n",
       "      <td>0</td>\n",
       "      <td>2017-11-05T11:00:00-05:00</td>\n",
       "      <td>1509897600</td>\n",
       "      <td>Rain</td>\n",
       "      <td>65</td>\n",
       "      <td>54.0</td>\n",
       "      <td>18</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>4</td>\n",
       "      <td>40.82040</td>\n",
       "      <td>-77.83616</td>\n",
       "      <td>2242273</td>\n",
       "      <td>Houserville</td>\n",
       "      <td>0</td>\n",
       "      <td>2017-11-05T11:00:00-05:00</td>\n",
       "      <td>1509897600</td>\n",
       "      <td>Cloudy</td>\n",
       "      <td>49</td>\n",
       "      <td>53.0</td>\n",
       "      <td>7</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>10</td>\n",
       "      <td>40.86353</td>\n",
       "      <td>-77.78760</td>\n",
       "      <td>2097870</td>\n",
       "      <td>Pleasant Gap</td>\n",
       "      <td>0</td>\n",
       "      <td>2017-11-05T11:00:00-05:00</td>\n",
       "      <td>1509897600</td>\n",
       "      <td>Cloudy</td>\n",
       "      <td>49</td>\n",
       "      <td>54.0</td>\n",
       "      <td>7</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>16</td>\n",
       "      <td>40.90789</td>\n",
       "      <td>-77.74052</td>\n",
       "      <td>335318</td>\n",
       "      <td>Bellefonte</td>\n",
       "      <td>0</td>\n",
       "      <td>2017-11-05T11:00:00-05:00</td>\n",
       "      <td>1509897600</td>\n",
       "      <td>Thunderstorms</td>\n",
       "      <td>51</td>\n",
       "      <td>55.0</td>\n",
       "      <td>15</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>21</td>\n",
       "      <td>40.94536</td>\n",
       "      <td>-77.71427</td>\n",
       "      <td>2129086</td>\n",
       "      <td>Zion</td>\n",
       "      <td>0</td>\n",
       "      <td>2017-11-05T11:00:00-05:00</td>\n",
       "      <td>1509897600</td>\n",
       "      <td>Cloudy</td>\n",
       "      <td>49</td>\n",
       "      <td>53.0</td>\n",
       "      <td>7</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>22</td>\n",
       "      <td>40.94729</td>\n",
       "      <td>-77.70347</td>\n",
       "      <td>2097228</td>\n",
       "      <td>Mingoville</td>\n",
       "      <td>0</td>\n",
       "      <td>2017-11-05T11:00:00-05:00</td>\n",
       "      <td>1509897600</td>\n",
       "      <td>Cloudy</td>\n",
       "      <td>49</td>\n",
       "      <td>53.0</td>\n",
       "      <td>7</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>24</td>\n",
       "      <td>40.97117</td>\n",
       "      <td>-77.63648</td>\n",
       "      <td>2242382</td>\n",
       "      <td>Jacksonville</td>\n",
       "      <td>0</td>\n",
       "      <td>2017-11-05T11:00:00-05:00</td>\n",
       "      <td>1509897600</td>\n",
       "      <td>Cloudy</td>\n",
       "      <td>49</td>\n",
       "      <td>56.0</td>\n",
       "      <td>7</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>25</td>\n",
       "      <td>40.98546</td>\n",
       "      <td>-77.61842</td>\n",
       "      <td>2098506</td>\n",
       "      <td>Snydertown</td>\n",
       "      <td>0</td>\n",
       "      <td>2017-11-05T11:00:00-05:00</td>\n",
       "      <td>1509897600</td>\n",
       "      <td>Cloudy</td>\n",
       "      <td>49</td>\n",
       "      <td>56.0</td>\n",
       "      <td>7</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>28</td>\n",
       "      <td>41.02714</td>\n",
       "      <td>-77.55099</td>\n",
       "      <td>2181632</td>\n",
       "      <td>Lamar</td>\n",
       "      <td>0</td>\n",
       "      <td>2017-11-05T11:00:00-05:00</td>\n",
       "      <td>1509897600</td>\n",
       "      <td>Cloudy</td>\n",
       "      <td>49</td>\n",
       "      <td>56.0</td>\n",
       "      <td>7</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>33</td>\n",
       "      <td>41.04505</td>\n",
       "      <td>-77.45424</td>\n",
       "      <td>2098214</td>\n",
       "      <td>Rote</td>\n",
       "      <td>0</td>\n",
       "      <td>2017-11-05T11:00:00-05:00</td>\n",
       "      <td>1509897600</td>\n",
       "      <td>Cloudy</td>\n",
       "      <td>49</td>\n",
       "      <td>55.0</td>\n",
       "      <td>7</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>39</td>\n",
       "      <td>41.05295</td>\n",
       "      <td>-77.35232</td>\n",
       "      <td>2242807</td>\n",
       "      <td>Loganton</td>\n",
       "      <td>0</td>\n",
       "      <td>2017-11-05T11:00:00-05:00</td>\n",
       "      <td>1509897600</td>\n",
       "      <td>Rain</td>\n",
       "      <td>68</td>\n",
       "      <td>55.0</td>\n",
       "      <td>18</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>44</td>\n",
       "      <td>41.06107</td>\n",
       "      <td>-77.21344</td>\n",
       "      <td>2098028</td>\n",
       "      <td>Rauchtown</td>\n",
       "      <td>0</td>\n",
       "      <td>2017-11-05T11:00:00-05:00</td>\n",
       "      <td>1509897600</td>\n",
       "      <td>Rain</td>\n",
       "      <td>68</td>\n",
       "      <td>55.0</td>\n",
       "      <td>18</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>53</td>\n",
       "      <td>41.04761</td>\n",
       "      <td>-77.10872</td>\n",
       "      <td>2097679</td>\n",
       "      <td>Oval</td>\n",
       "      <td>0</td>\n",
       "      <td>2017-11-05T11:00:00-05:00</td>\n",
       "      <td>1509897600</td>\n",
       "      <td>Rain</td>\n",
       "      <td>68</td>\n",
       "      <td>55.0</td>\n",
       "      <td>18</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>57</td>\n",
       "      <td>41.07013</td>\n",
       "      <td>-77.04815</td>\n",
       "      <td>2215114</td>\n",
       "      <td>Allenwood</td>\n",
       "      <td>0</td>\n",
       "      <td>2017-11-05T11:00:00-05:00</td>\n",
       "      <td>1509897600</td>\n",
       "      <td>Cloudy</td>\n",
       "      <td>47</td>\n",
       "      <td>57.0</td>\n",
       "      <td>7</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>61</td>\n",
       "      <td>41.06841</td>\n",
       "      <td>-76.90905</td>\n",
       "      <td>2097432</td>\n",
       "      <td>New Columbia</td>\n",
       "      <td>1</td>\n",
       "      <td>2017-11-05T12:00:00-05:00</td>\n",
       "      <td>1509901200</td>\n",
       "      <td>Cloudy</td>\n",
       "      <td>49</td>\n",
       "      <td>58.0</td>\n",
       "      <td>7</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>65</td>\n",
       "      <td>41.04403</td>\n",
       "      <td>-76.81858</td>\n",
       "      <td>340445</td>\n",
       "      <td>Milton</td>\n",
       "      <td>1</td>\n",
       "      <td>2017-11-05T12:00:00-05:00</td>\n",
       "      <td>1509901200</td>\n",
       "      <td>Cloudy</td>\n",
       "      <td>49</td>\n",
       "      <td>58.0</td>\n",
       "      <td>7</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>70</td>\n",
       "      <td>40.99272</td>\n",
       "      <td>-76.74223</td>\n",
       "      <td>340489</td>\n",
       "      <td>Riverside</td>\n",
       "      <td>1</td>\n",
       "      <td>2017-11-05T12:00:00-05:00</td>\n",
       "      <td>1509901200</td>\n",
       "      <td>Rain</td>\n",
       "      <td>51</td>\n",
       "      <td>58.0</td>\n",
       "      <td>18</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>74</td>\n",
       "      <td>40.99168</td>\n",
       "      <td>-76.65460</td>\n",
       "      <td>335323</td>\n",
       "      <td>Danville</td>\n",
       "      <td>1</td>\n",
       "      <td>2017-11-05T12:00:00-05:00</td>\n",
       "      <td>1509901200</td>\n",
       "      <td>Rain</td>\n",
       "      <td>51</td>\n",
       "      <td>58.0</td>\n",
       "      <td>18</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>79</td>\n",
       "      <td>41.00464</td>\n",
       "      <td>-76.56178</td>\n",
       "      <td>2129126</td>\n",
       "      <td>Buckhorn</td>\n",
       "      <td>1</td>\n",
       "      <td>2017-11-05T12:00:00-05:00</td>\n",
       "      <td>1509901200</td>\n",
       "      <td>Rain</td>\n",
       "      <td>51</td>\n",
       "      <td>58.0</td>\n",
       "      <td>18</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>83</td>\n",
       "      <td>41.02195</td>\n",
       "      <td>-76.46691</td>\n",
       "      <td>335344</td>\n",
       "      <td>Bloomsburg</td>\n",
       "      <td>1</td>\n",
       "      <td>2017-11-05T12:00:00-05:00</td>\n",
       "      <td>1509901200</td>\n",
       "      <td>Rain</td>\n",
       "      <td>51</td>\n",
       "      <td>58.0</td>\n",
       "      <td>18</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>84</td>\n",
       "      <td>41.02776</td>\n",
       "      <td>-76.43603</td>\n",
       "      <td>2242731</td>\n",
       "      <td>Lightstreet</td>\n",
       "      <td>1</td>\n",
       "      <td>2017-11-05T12:00:00-05:00</td>\n",
       "      <td>1509901200</td>\n",
       "      <td>Rain</td>\n",
       "      <td>51</td>\n",
       "      <td>58.0</td>\n",
       "      <td>18</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>85</td>\n",
       "      <td>41.02464</td>\n",
       "      <td>-76.41350</td>\n",
       "      <td>2216428</td>\n",
       "      <td>Espy</td>\n",
       "      <td>1</td>\n",
       "      <td>2017-11-05T12:00:00-05:00</td>\n",
       "      <td>1509901200</td>\n",
       "      <td>Rain</td>\n",
       "      <td>51</td>\n",
       "      <td>58.0</td>\n",
       "      <td>18</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>86</td>\n",
       "      <td>41.03819</td>\n",
       "      <td>-76.36226</td>\n",
       "      <td>2242735</td>\n",
       "      <td>Lime Ridge</td>\n",
       "      <td>1</td>\n",
       "      <td>2017-11-05T12:00:00-05:00</td>\n",
       "      <td>1509901200</td>\n",
       "      <td>Showers</td>\n",
       "      <td>40</td>\n",
       "      <td>58.0</td>\n",
       "      <td>12</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>89</td>\n",
       "      <td>41.01042</td>\n",
       "      <td>-76.29416</td>\n",
       "      <td>2206499</td>\n",
       "      <td>Mifflinville</td>\n",
       "      <td>1</td>\n",
       "      <td>2017-11-05T12:00:00-05:00</td>\n",
       "      <td>1509901200</td>\n",
       "      <td>Showers</td>\n",
       "      <td>40</td>\n",
       "      <td>58.0</td>\n",
       "      <td>12</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>92</td>\n",
       "      <td>41.00864</td>\n",
       "      <td>-76.24282</td>\n",
       "      <td>335380</td>\n",
       "      <td>Berwick</td>\n",
       "      <td>1</td>\n",
       "      <td>2017-11-05T12:00:00-05:00</td>\n",
       "      <td>1509901200</td>\n",
       "      <td>Showers</td>\n",
       "      <td>40</td>\n",
       "      <td>58.0</td>\n",
       "      <td>12</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>93</td>\n",
       "      <td>41.01570</td>\n",
       "      <td>-76.20470</td>\n",
       "      <td>340458</td>\n",
       "      <td>Nescopeck</td>\n",
       "      <td>1</td>\n",
       "      <td>2017-11-05T12:00:00-05:00</td>\n",
       "      <td>1509901200</td>\n",
       "      <td>Showers</td>\n",
       "      <td>40</td>\n",
       "      <td>58.0</td>\n",
       "      <td>12</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>97</td>\n",
       "      <td>41.00353</td>\n",
       "      <td>-76.15868</td>\n",
       "      <td>2128906</td>\n",
       "      <td>Weston</td>\n",
       "      <td>1</td>\n",
       "      <td>2017-11-05T12:00:00-05:00</td>\n",
       "      <td>1509901200</td>\n",
       "      <td>Cloudy</td>\n",
       "      <td>37</td>\n",
       "      <td>56.0</td>\n",
       "      <td>7</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>98</td>\n",
       "      <td>41.00545</td>\n",
       "      <td>-76.14139</td>\n",
       "      <td>2129144</td>\n",
       "      <td>Conyngham</td>\n",
       "      <td>1</td>\n",
       "      <td>2017-11-05T12:00:00-05:00</td>\n",
       "      <td>1509901200</td>\n",
       "      <td>Cloudy</td>\n",
       "      <td>37</td>\n",
       "      <td>54.0</td>\n",
       "      <td>7</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>104</td>\n",
       "      <td>41.04518</td>\n",
       "      <td>-76.01422</td>\n",
       "      <td>2274538</td>\n",
       "      <td>Beech Mountain Lakes</td>\n",
       "      <td>1</td>\n",
       "      <td>2017-11-05T12:00:00-05:00</td>\n",
       "      <td>1509901200</td>\n",
       "      <td>Cloudy</td>\n",
       "      <td>37</td>\n",
       "      <td>54.0</td>\n",
       "      <td>7</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td>147</td>\n",
       "      <td>40.99749</td>\n",
       "      <td>-75.14569</td>\n",
       "      <td>2155958</td>\n",
       "      <td>Delaware Water Gap</td>\n",
       "      <td>2</td>\n",
       "      <td>2017-11-05T13:00:00-05:00</td>\n",
       "      <td>1509904800</td>\n",
       "      <td>Showers</td>\n",
       "      <td>45</td>\n",
       "      <td>57.0</td>\n",
       "      <td>12</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td>154</td>\n",
       "      <td>40.93673</td>\n",
       "      <td>-75.10381</td>\n",
       "      <td>2097945</td>\n",
       "      <td>Portland</td>\n",
       "      <td>2</td>\n",
       "      <td>2017-11-05T13:00:00-05:00</td>\n",
       "      <td>1509904800</td>\n",
       "      <td>Cloudy</td>\n",
       "      <td>44</td>\n",
       "      <td>60.0</td>\n",
       "      <td>7</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>156</td>\n",
       "      <td>40.92707</td>\n",
       "      <td>-75.08571</td>\n",
       "      <td>2191486</td>\n",
       "      <td>Columbia</td>\n",
       "      <td>2</td>\n",
       "      <td>2017-11-05T13:00:00-05:00</td>\n",
       "      <td>1509904800</td>\n",
       "      <td>Cloudy</td>\n",
       "      <td>34</td>\n",
       "      <td>60.0</td>\n",
       "      <td>7</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44</th>\n",
       "      <td>159</td>\n",
       "      <td>40.92620</td>\n",
       "      <td>-75.04482</td>\n",
       "      <td>2191787</td>\n",
       "      <td>Hainesburg</td>\n",
       "      <td>2</td>\n",
       "      <td>2017-11-05T13:00:00-05:00</td>\n",
       "      <td>1509904800</td>\n",
       "      <td>Cloudy</td>\n",
       "      <td>36</td>\n",
       "      <td>59.0</td>\n",
       "      <td>7</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45</th>\n",
       "      <td>160</td>\n",
       "      <td>40.93245</td>\n",
       "      <td>-75.02722</td>\n",
       "      <td>2192202</td>\n",
       "      <td>Mount Hermon</td>\n",
       "      <td>2</td>\n",
       "      <td>2017-11-05T13:00:00-05:00</td>\n",
       "      <td>1509904800</td>\n",
       "      <td>Cloudy</td>\n",
       "      <td>36</td>\n",
       "      <td>59.0</td>\n",
       "      <td>7</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46</th>\n",
       "      <td>163</td>\n",
       "      <td>40.92877</td>\n",
       "      <td>-74.97303</td>\n",
       "      <td>2274407</td>\n",
       "      <td>Silver Lake</td>\n",
       "      <td>2</td>\n",
       "      <td>2017-11-05T13:00:00-05:00</td>\n",
       "      <td>1509904800</td>\n",
       "      <td>Cloudy</td>\n",
       "      <td>36</td>\n",
       "      <td>59.0</td>\n",
       "      <td>7</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47</th>\n",
       "      <td>164</td>\n",
       "      <td>40.92481</td>\n",
       "      <td>-74.96136</td>\n",
       "      <td>2191882</td>\n",
       "      <td>Hope</td>\n",
       "      <td>2</td>\n",
       "      <td>2017-11-05T13:00:00-05:00</td>\n",
       "      <td>1509904800</td>\n",
       "      <td>Cloudy</td>\n",
       "      <td>36</td>\n",
       "      <td>59.0</td>\n",
       "      <td>7</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>48</th>\n",
       "      <td>167</td>\n",
       "      <td>40.92737</td>\n",
       "      <td>-74.88379</td>\n",
       "      <td>2274404</td>\n",
       "      <td>Panther Valley</td>\n",
       "      <td>2</td>\n",
       "      <td>2017-11-05T13:00:00-05:00</td>\n",
       "      <td>1509904800</td>\n",
       "      <td>Cloudy</td>\n",
       "      <td>34</td>\n",
       "      <td>60.0</td>\n",
       "      <td>7</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49</th>\n",
       "      <td>172</td>\n",
       "      <td>40.91667</td>\n",
       "      <td>-74.81086</td>\n",
       "      <td>2174753</td>\n",
       "      <td>Allamuchy</td>\n",
       "      <td>2</td>\n",
       "      <td>2017-11-05T13:00:00-05:00</td>\n",
       "      <td>1509904800</td>\n",
       "      <td>Cloudy</td>\n",
       "      <td>34</td>\n",
       "      <td>60.0</td>\n",
       "      <td>7</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50</th>\n",
       "      <td>176</td>\n",
       "      <td>40.91528</td>\n",
       "      <td>-74.76408</td>\n",
       "      <td>339545</td>\n",
       "      <td>Stanhope</td>\n",
       "      <td>2</td>\n",
       "      <td>2017-11-05T13:00:00-05:00</td>\n",
       "      <td>1509904800</td>\n",
       "      <td>Cloudy</td>\n",
       "      <td>32</td>\n",
       "      <td>59.0</td>\n",
       "      <td>7</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>51</th>\n",
       "      <td>177</td>\n",
       "      <td>40.91215</td>\n",
       "      <td>-74.75776</td>\n",
       "      <td>334516</td>\n",
       "      <td>Budd Lake</td>\n",
       "      <td>2</td>\n",
       "      <td>2017-11-05T13:00:00-05:00</td>\n",
       "      <td>1509904800</td>\n",
       "      <td>Cloudy</td>\n",
       "      <td>32</td>\n",
       "      <td>59.0</td>\n",
       "      <td>7</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>52</th>\n",
       "      <td>180</td>\n",
       "      <td>40.89985</td>\n",
       "      <td>-74.71965</td>\n",
       "      <td>339507</td>\n",
       "      <td>Netcong</td>\n",
       "      <td>3</td>\n",
       "      <td>2017-11-05T14:00:00-05:00</td>\n",
       "      <td>1509908400</td>\n",
       "      <td>Cloudy</td>\n",
       "      <td>32</td>\n",
       "      <td>59.0</td>\n",
       "      <td>7</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>53</th>\n",
       "      <td>183</td>\n",
       "      <td>40.89223</td>\n",
       "      <td>-74.65360</td>\n",
       "      <td>1009</td>\n",
       "      <td>Mount Arlington</td>\n",
       "      <td>3</td>\n",
       "      <td>2017-11-05T14:00:00-05:00</td>\n",
       "      <td>1509908400</td>\n",
       "      <td>Cloudy</td>\n",
       "      <td>32</td>\n",
       "      <td>59.0</td>\n",
       "      <td>7</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>54</th>\n",
       "      <td>185</td>\n",
       "      <td>40.90823</td>\n",
       "      <td>-74.59775</td>\n",
       "      <td>2208763</td>\n",
       "      <td>Wharton</td>\n",
       "      <td>3</td>\n",
       "      <td>2017-11-05T14:00:00-05:00</td>\n",
       "      <td>1509908400</td>\n",
       "      <td>Cloudy</td>\n",
       "      <td>32</td>\n",
       "      <td>60.0</td>\n",
       "      <td>7</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55</th>\n",
       "      <td>187</td>\n",
       "      <td>40.91118</td>\n",
       "      <td>-74.51263</td>\n",
       "      <td>2209324</td>\n",
       "      <td>White Meadow Lake</td>\n",
       "      <td>3</td>\n",
       "      <td>2017-11-05T14:00:00-05:00</td>\n",
       "      <td>1509908400</td>\n",
       "      <td>Cloudy</td>\n",
       "      <td>32</td>\n",
       "      <td>60.0</td>\n",
       "      <td>7</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>56</th>\n",
       "      <td>189</td>\n",
       "      <td>40.89935</td>\n",
       "      <td>-74.48960</td>\n",
       "      <td>339531</td>\n",
       "      <td>Rockaway</td>\n",
       "      <td>3</td>\n",
       "      <td>2017-11-05T14:00:00-05:00</td>\n",
       "      <td>1509908400</td>\n",
       "      <td>Cloudy</td>\n",
       "      <td>32</td>\n",
       "      <td>60.0</td>\n",
       "      <td>7</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57</th>\n",
       "      <td>190</td>\n",
       "      <td>40.89103</td>\n",
       "      <td>-74.48151</td>\n",
       "      <td>339506</td>\n",
       "      <td>Mountain Lakes</td>\n",
       "      <td>3</td>\n",
       "      <td>2017-11-05T14:00:00-05:00</td>\n",
       "      <td>1509908400</td>\n",
       "      <td>Cloudy</td>\n",
       "      <td>32</td>\n",
       "      <td>60.0</td>\n",
       "      <td>7</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>58</th>\n",
       "      <td>197</td>\n",
       "      <td>40.82851</td>\n",
       "      <td>-74.44086</td>\n",
       "      <td>2192193</td>\n",
       "      <td>Morris Plains</td>\n",
       "      <td>3</td>\n",
       "      <td>2017-11-05T14:00:00-05:00</td>\n",
       "      <td>1509908400</td>\n",
       "      <td>Cloudy</td>\n",
       "      <td>32</td>\n",
       "      <td>61.0</td>\n",
       "      <td>7</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>59</th>\n",
       "      <td>199</td>\n",
       "      <td>40.81211</td>\n",
       "      <td>-74.44827</td>\n",
       "      <td>334499</td>\n",
       "      <td>Morristown</td>\n",
       "      <td>3</td>\n",
       "      <td>2017-11-05T14:00:00-05:00</td>\n",
       "      <td>1509908400</td>\n",
       "      <td>Cloudy</td>\n",
       "      <td>32</td>\n",
       "      <td>61.0</td>\n",
       "      <td>7</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>60</th>\n",
       "      <td>200</td>\n",
       "      <td>40.79717</td>\n",
       "      <td>-74.43780</td>\n",
       "      <td>2191669</td>\n",
       "      <td>Florham Park</td>\n",
       "      <td>3</td>\n",
       "      <td>2017-11-05T14:00:00-05:00</td>\n",
       "      <td>1509908400</td>\n",
       "      <td>Cloudy</td>\n",
       "      <td>32</td>\n",
       "      <td>61.0</td>\n",
       "      <td>7</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>61</th>\n",
       "      <td>203</td>\n",
       "      <td>40.76486</td>\n",
       "      <td>-74.40172</td>\n",
       "      <td>2192055</td>\n",
       "      <td>Madison</td>\n",
       "      <td>3</td>\n",
       "      <td>2017-11-05T14:00:00-05:00</td>\n",
       "      <td>1509908400</td>\n",
       "      <td>Cloudy</td>\n",
       "      <td>32</td>\n",
       "      <td>61.0</td>\n",
       "      <td>7</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>62</th>\n",
       "      <td>205</td>\n",
       "      <td>40.74712</td>\n",
       "      <td>-74.37168</td>\n",
       "      <td>2175007</td>\n",
       "      <td>Chatham</td>\n",
       "      <td>3</td>\n",
       "      <td>2017-11-05T14:00:00-05:00</td>\n",
       "      <td>1509908400</td>\n",
       "      <td>Cloudy</td>\n",
       "      <td>32</td>\n",
       "      <td>62.0</td>\n",
       "      <td>7</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>63</th>\n",
       "      <td>206</td>\n",
       "      <td>40.74030</td>\n",
       "      <td>-74.36997</td>\n",
       "      <td>2195571</td>\n",
       "      <td>Short Hills</td>\n",
       "      <td>3</td>\n",
       "      <td>2017-11-05T14:00:00-05:00</td>\n",
       "      <td>1509908400</td>\n",
       "      <td>Cloudy</td>\n",
       "      <td>32</td>\n",
       "      <td>61.0</td>\n",
       "      <td>7</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>64</th>\n",
       "      <td>207</td>\n",
       "      <td>40.73711</td>\n",
       "      <td>-74.36309</td>\n",
       "      <td>2195668</td>\n",
       "      <td>Summit</td>\n",
       "      <td>3</td>\n",
       "      <td>2017-11-05T14:00:00-05:00</td>\n",
       "      <td>1509908400</td>\n",
       "      <td>Cloudy</td>\n",
       "      <td>32</td>\n",
       "      <td>62.0</td>\n",
       "      <td>7</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>65</th>\n",
       "      <td>212</td>\n",
       "      <td>40.71432</td>\n",
       "      <td>-74.28810</td>\n",
       "      <td>344428</td>\n",
       "      <td>Kenilworth</td>\n",
       "      <td>3</td>\n",
       "      <td>2017-11-05T14:00:00-05:00</td>\n",
       "      <td>1509908400</td>\n",
       "      <td>Cloudy</td>\n",
       "      <td>32</td>\n",
       "      <td>61.0</td>\n",
       "      <td>7</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>66</th>\n",
       "      <td>214</td>\n",
       "      <td>40.70534</td>\n",
       "      <td>-74.24595</td>\n",
       "      <td>349530</td>\n",
       "      <td>Newark</td>\n",
       "      <td>3</td>\n",
       "      <td>2017-11-05T14:00:00-05:00</td>\n",
       "      <td>1509908400</td>\n",
       "      <td>Showers</td>\n",
       "      <td>40</td>\n",
       "      <td>62.0</td>\n",
       "      <td>12</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>67</th>\n",
       "      <td>221</td>\n",
       "      <td>40.69014</td>\n",
       "      <td>-74.10286</td>\n",
       "      <td>334508</td>\n",
       "      <td>Bayonne</td>\n",
       "      <td>3</td>\n",
       "      <td>2017-11-05T14:00:00-05:00</td>\n",
       "      <td>1509908400</td>\n",
       "      <td>Cloudy</td>\n",
       "      <td>37</td>\n",
       "      <td>63.0</td>\n",
       "      <td>7</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>68</th>\n",
       "      <td>222</td>\n",
       "      <td>40.68590</td>\n",
       "      <td>-74.09577</td>\n",
       "      <td>329548</td>\n",
       "      <td>Jersey City</td>\n",
       "      <td>3</td>\n",
       "      <td>2017-11-05T14:00:00-05:00</td>\n",
       "      <td>1509908400</td>\n",
       "      <td>Showers</td>\n",
       "      <td>40</td>\n",
       "      <td>63.0</td>\n",
       "      <td>12</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>69</th>\n",
       "      <td>231</td>\n",
       "      <td>40.72583</td>\n",
       "      <td>-74.01135</td>\n",
       "      <td>2171831</td>\n",
       "      <td>Tribeca</td>\n",
       "      <td>3</td>\n",
       "      <td>2017-11-05T14:00:00-05:00</td>\n",
       "      <td>1509908400</td>\n",
       "      <td>Cloudy</td>\n",
       "      <td>37</td>\n",
       "      <td>61.0</td>\n",
       "      <td>7</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>70</th>\n",
       "      <td>236</td>\n",
       "      <td>40.71246</td>\n",
       "      <td>-74.00484</td>\n",
       "      <td>2627449</td>\n",
       "      <td>Civic Center</td>\n",
       "      <td>3</td>\n",
       "      <td>2017-11-05T14:00:00-05:00</td>\n",
       "      <td>1509908400</td>\n",
       "      <td>Cloudy</td>\n",
       "      <td>37</td>\n",
       "      <td>61.0</td>\n",
       "      <td>7</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>71 rows × 14 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "    index       lat       lon      Key           EnglishName  time_offset  \\\n",
       "0       0  40.79329 -77.86014   335315         State College            0   \n",
       "1       3  40.81276 -77.82821  2155957                Lemont            0   \n",
       "2       4  40.82040 -77.83616  2242273           Houserville            0   \n",
       "3      10  40.86353 -77.78760  2097870          Pleasant Gap            0   \n",
       "4      16  40.90789 -77.74052   335318            Bellefonte            0   \n",
       "5      21  40.94536 -77.71427  2129086                  Zion            0   \n",
       "6      22  40.94729 -77.70347  2097228            Mingoville            0   \n",
       "7      24  40.97117 -77.63648  2242382          Jacksonville            0   \n",
       "8      25  40.98546 -77.61842  2098506            Snydertown            0   \n",
       "9      28  41.02714 -77.55099  2181632                 Lamar            0   \n",
       "10     33  41.04505 -77.45424  2098214                  Rote            0   \n",
       "11     39  41.05295 -77.35232  2242807              Loganton            0   \n",
       "12     44  41.06107 -77.21344  2098028             Rauchtown            0   \n",
       "13     53  41.04761 -77.10872  2097679                  Oval            0   \n",
       "14     57  41.07013 -77.04815  2215114             Allenwood            0   \n",
       "15     61  41.06841 -76.90905  2097432          New Columbia            1   \n",
       "16     65  41.04403 -76.81858   340445                Milton            1   \n",
       "17     70  40.99272 -76.74223   340489             Riverside            1   \n",
       "18     74  40.99168 -76.65460   335323              Danville            1   \n",
       "19     79  41.00464 -76.56178  2129126              Buckhorn            1   \n",
       "20     83  41.02195 -76.46691   335344            Bloomsburg            1   \n",
       "21     84  41.02776 -76.43603  2242731           Lightstreet            1   \n",
       "22     85  41.02464 -76.41350  2216428                  Espy            1   \n",
       "23     86  41.03819 -76.36226  2242735            Lime Ridge            1   \n",
       "24     89  41.01042 -76.29416  2206499          Mifflinville            1   \n",
       "25     92  41.00864 -76.24282   335380               Berwick            1   \n",
       "26     93  41.01570 -76.20470   340458             Nescopeck            1   \n",
       "27     97  41.00353 -76.15868  2128906                Weston            1   \n",
       "28     98  41.00545 -76.14139  2129144             Conyngham            1   \n",
       "29    104  41.04518 -76.01422  2274538  Beech Mountain Lakes            1   \n",
       "..    ...       ...       ...      ...                   ...          ...   \n",
       "41    147  40.99749 -75.14569  2155958    Delaware Water Gap            2   \n",
       "42    154  40.93673 -75.10381  2097945              Portland            2   \n",
       "43    156  40.92707 -75.08571  2191486              Columbia            2   \n",
       "44    159  40.92620 -75.04482  2191787            Hainesburg            2   \n",
       "45    160  40.93245 -75.02722  2192202          Mount Hermon            2   \n",
       "46    163  40.92877 -74.97303  2274407           Silver Lake            2   \n",
       "47    164  40.92481 -74.96136  2191882                  Hope            2   \n",
       "48    167  40.92737 -74.88379  2274404        Panther Valley            2   \n",
       "49    172  40.91667 -74.81086  2174753             Allamuchy            2   \n",
       "50    176  40.91528 -74.76408   339545              Stanhope            2   \n",
       "51    177  40.91215 -74.75776   334516             Budd Lake            2   \n",
       "52    180  40.89985 -74.71965   339507               Netcong            3   \n",
       "53    183  40.89223 -74.65360     1009       Mount Arlington            3   \n",
       "54    185  40.90823 -74.59775  2208763               Wharton            3   \n",
       "55    187  40.91118 -74.51263  2209324     White Meadow Lake            3   \n",
       "56    189  40.89935 -74.48960   339531              Rockaway            3   \n",
       "57    190  40.89103 -74.48151   339506        Mountain Lakes            3   \n",
       "58    197  40.82851 -74.44086  2192193         Morris Plains            3   \n",
       "59    199  40.81211 -74.44827   334499            Morristown            3   \n",
       "60    200  40.79717 -74.43780  2191669          Florham Park            3   \n",
       "61    203  40.76486 -74.40172  2192055               Madison            3   \n",
       "62    205  40.74712 -74.37168  2175007               Chatham            3   \n",
       "63    206  40.74030 -74.36997  2195571           Short Hills            3   \n",
       "64    207  40.73711 -74.36309  2195668                Summit            3   \n",
       "65    212  40.71432 -74.28810   344428            Kenilworth            3   \n",
       "66    214  40.70534 -74.24595   349530                Newark            3   \n",
       "67    221  40.69014 -74.10286   334508               Bayonne            3   \n",
       "68    222  40.68590 -74.09577   329548           Jersey City            3   \n",
       "69    231  40.72583 -74.01135  2171831               Tribeca            3   \n",
       "70    236  40.71246 -74.00484  2627449          Civic Center            3   \n",
       "\n",
       "                     DateTime  EpochDateTime     IconPhrase  \\\n",
       "0   2017-11-05T11:00:00-05:00     1509897600         Cloudy   \n",
       "1   2017-11-05T11:00:00-05:00     1509897600           Rain   \n",
       "2   2017-11-05T11:00:00-05:00     1509897600         Cloudy   \n",
       "3   2017-11-05T11:00:00-05:00     1509897600         Cloudy   \n",
       "4   2017-11-05T11:00:00-05:00     1509897600  Thunderstorms   \n",
       "5   2017-11-05T11:00:00-05:00     1509897600         Cloudy   \n",
       "6   2017-11-05T11:00:00-05:00     1509897600         Cloudy   \n",
       "7   2017-11-05T11:00:00-05:00     1509897600         Cloudy   \n",
       "8   2017-11-05T11:00:00-05:00     1509897600         Cloudy   \n",
       "9   2017-11-05T11:00:00-05:00     1509897600         Cloudy   \n",
       "10  2017-11-05T11:00:00-05:00     1509897600         Cloudy   \n",
       "11  2017-11-05T11:00:00-05:00     1509897600           Rain   \n",
       "12  2017-11-05T11:00:00-05:00     1509897600           Rain   \n",
       "13  2017-11-05T11:00:00-05:00     1509897600           Rain   \n",
       "14  2017-11-05T11:00:00-05:00     1509897600         Cloudy   \n",
       "15  2017-11-05T12:00:00-05:00     1509901200         Cloudy   \n",
       "16  2017-11-05T12:00:00-05:00     1509901200         Cloudy   \n",
       "17  2017-11-05T12:00:00-05:00     1509901200           Rain   \n",
       "18  2017-11-05T12:00:00-05:00     1509901200           Rain   \n",
       "19  2017-11-05T12:00:00-05:00     1509901200           Rain   \n",
       "20  2017-11-05T12:00:00-05:00     1509901200           Rain   \n",
       "21  2017-11-05T12:00:00-05:00     1509901200           Rain   \n",
       "22  2017-11-05T12:00:00-05:00     1509901200           Rain   \n",
       "23  2017-11-05T12:00:00-05:00     1509901200        Showers   \n",
       "24  2017-11-05T12:00:00-05:00     1509901200        Showers   \n",
       "25  2017-11-05T12:00:00-05:00     1509901200        Showers   \n",
       "26  2017-11-05T12:00:00-05:00     1509901200        Showers   \n",
       "27  2017-11-05T12:00:00-05:00     1509901200         Cloudy   \n",
       "28  2017-11-05T12:00:00-05:00     1509901200         Cloudy   \n",
       "29  2017-11-05T12:00:00-05:00     1509901200         Cloudy   \n",
       "..                        ...            ...            ...   \n",
       "41  2017-11-05T13:00:00-05:00     1509904800        Showers   \n",
       "42  2017-11-05T13:00:00-05:00     1509904800         Cloudy   \n",
       "43  2017-11-05T13:00:00-05:00     1509904800         Cloudy   \n",
       "44  2017-11-05T13:00:00-05:00     1509904800         Cloudy   \n",
       "45  2017-11-05T13:00:00-05:00     1509904800         Cloudy   \n",
       "46  2017-11-05T13:00:00-05:00     1509904800         Cloudy   \n",
       "47  2017-11-05T13:00:00-05:00     1509904800         Cloudy   \n",
       "48  2017-11-05T13:00:00-05:00     1509904800         Cloudy   \n",
       "49  2017-11-05T13:00:00-05:00     1509904800         Cloudy   \n",
       "50  2017-11-05T13:00:00-05:00     1509904800         Cloudy   \n",
       "51  2017-11-05T13:00:00-05:00     1509904800         Cloudy   \n",
       "52  2017-11-05T14:00:00-05:00     1509908400         Cloudy   \n",
       "53  2017-11-05T14:00:00-05:00     1509908400         Cloudy   \n",
       "54  2017-11-05T14:00:00-05:00     1509908400         Cloudy   \n",
       "55  2017-11-05T14:00:00-05:00     1509908400         Cloudy   \n",
       "56  2017-11-05T14:00:00-05:00     1509908400         Cloudy   \n",
       "57  2017-11-05T14:00:00-05:00     1509908400         Cloudy   \n",
       "58  2017-11-05T14:00:00-05:00     1509908400         Cloudy   \n",
       "59  2017-11-05T14:00:00-05:00     1509908400         Cloudy   \n",
       "60  2017-11-05T14:00:00-05:00     1509908400         Cloudy   \n",
       "61  2017-11-05T14:00:00-05:00     1509908400         Cloudy   \n",
       "62  2017-11-05T14:00:00-05:00     1509908400         Cloudy   \n",
       "63  2017-11-05T14:00:00-05:00     1509908400         Cloudy   \n",
       "64  2017-11-05T14:00:00-05:00     1509908400         Cloudy   \n",
       "65  2017-11-05T14:00:00-05:00     1509908400         Cloudy   \n",
       "66  2017-11-05T14:00:00-05:00     1509908400        Showers   \n",
       "67  2017-11-05T14:00:00-05:00     1509908400         Cloudy   \n",
       "68  2017-11-05T14:00:00-05:00     1509908400        Showers   \n",
       "69  2017-11-05T14:00:00-05:00     1509908400         Cloudy   \n",
       "70  2017-11-05T14:00:00-05:00     1509908400         Cloudy   \n",
       "\n",
       "    PrecipitationProbability  Temperature  WeatherIcon  Precipitation  \\\n",
       "0                         49         54.0            7          False   \n",
       "1                         65         54.0           18           True   \n",
       "2                         49         53.0            7          False   \n",
       "3                         49         54.0            7          False   \n",
       "4                         51         55.0           15           True   \n",
       "5                         49         53.0            7          False   \n",
       "6                         49         53.0            7          False   \n",
       "7                         49         56.0            7          False   \n",
       "8                         49         56.0            7          False   \n",
       "9                         49         56.0            7          False   \n",
       "10                        49         55.0            7          False   \n",
       "11                        68         55.0           18           True   \n",
       "12                        68         55.0           18           True   \n",
       "13                        68         55.0           18           True   \n",
       "14                        47         57.0            7          False   \n",
       "15                        49         58.0            7          False   \n",
       "16                        49         58.0            7          False   \n",
       "17                        51         58.0           18           True   \n",
       "18                        51         58.0           18           True   \n",
       "19                        51         58.0           18           True   \n",
       "20                        51         58.0           18           True   \n",
       "21                        51         58.0           18           True   \n",
       "22                        51         58.0           18           True   \n",
       "23                        40         58.0           12           True   \n",
       "24                        40         58.0           12           True   \n",
       "25                        40         58.0           12           True   \n",
       "26                        40         58.0           12           True   \n",
       "27                        37         56.0            7          False   \n",
       "28                        37         54.0            7          False   \n",
       "29                        37         54.0            7          False   \n",
       "..                       ...          ...          ...            ...   \n",
       "41                        45         57.0           12           True   \n",
       "42                        44         60.0            7          False   \n",
       "43                        34         60.0            7          False   \n",
       "44                        36         59.0            7          False   \n",
       "45                        36         59.0            7          False   \n",
       "46                        36         59.0            7          False   \n",
       "47                        36         59.0            7          False   \n",
       "48                        34         60.0            7          False   \n",
       "49                        34         60.0            7          False   \n",
       "50                        32         59.0            7          False   \n",
       "51                        32         59.0            7          False   \n",
       "52                        32         59.0            7          False   \n",
       "53                        32         59.0            7          False   \n",
       "54                        32         60.0            7          False   \n",
       "55                        32         60.0            7          False   \n",
       "56                        32         60.0            7          False   \n",
       "57                        32         60.0            7          False   \n",
       "58                        32         61.0            7          False   \n",
       "59                        32         61.0            7          False   \n",
       "60                        32         61.0            7          False   \n",
       "61                        32         61.0            7          False   \n",
       "62                        32         62.0            7          False   \n",
       "63                        32         61.0            7          False   \n",
       "64                        32         62.0            7          False   \n",
       "65                        32         61.0            7          False   \n",
       "66                        40         62.0           12           True   \n",
       "67                        37         63.0            7          False   \n",
       "68                        40         63.0           12           True   \n",
       "69                        37         61.0            7          False   \n",
       "70                        37         61.0            7          False   \n",
       "\n",
       "    RainAlert  \n",
       "0       False  \n",
       "1        True  \n",
       "2       False  \n",
       "3       False  \n",
       "4       False  \n",
       "5       False  \n",
       "6       False  \n",
       "7       False  \n",
       "8       False  \n",
       "9       False  \n",
       "10      False  \n",
       "11      False  \n",
       "12       True  \n",
       "13      False  \n",
       "14      False  \n",
       "15      False  \n",
       "16      False  \n",
       "17      False  \n",
       "18      False  \n",
       "19      False  \n",
       "20      False  \n",
       "21      False  \n",
       "22      False  \n",
       "23       True  \n",
       "24      False  \n",
       "25      False  \n",
       "26      False  \n",
       "27      False  \n",
       "28      False  \n",
       "29      False  \n",
       "..        ...  \n",
       "41      False  \n",
       "42      False  \n",
       "43      False  \n",
       "44      False  \n",
       "45      False  \n",
       "46      False  \n",
       "47      False  \n",
       "48      False  \n",
       "49      False  \n",
       "50      False  \n",
       "51      False  \n",
       "52      False  \n",
       "53      False  \n",
       "54      False  \n",
       "55      False  \n",
       "56      False  \n",
       "57      False  \n",
       "58      False  \n",
       "59      False  \n",
       "60      False  \n",
       "61      False  \n",
       "62      False  \n",
       "63      False  \n",
       "64      False  \n",
       "65      False  \n",
       "66       True  \n",
       "67      False  \n",
       "68      False  \n",
       "69      False  \n",
       "70      False  \n",
       "\n",
       "[71 rows x 14 columns]"
      ]
     },
     "execution_count": 82,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_nondup"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "precip = [12,13,14,15,16,17,18,19,20,21,22,23,25,26,29,39,40,41,42,43,44]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0      True\n",
       "1      True\n",
       "2      True\n",
       "3     False\n",
       "4     False\n",
       "5      True\n",
       "6      True\n",
       "7      True\n",
       "8      True\n",
       "9      True\n",
       "10     True\n",
       "11     True\n",
       "12    False\n",
       "13    False\n",
       "14    False\n",
       "15    False\n",
       "16    False\n",
       "17    False\n",
       "18     True\n",
       "19     True\n",
       "20     True\n",
       "21     True\n",
       "22     True\n",
       "23     True\n",
       "24     True\n",
       "25    False\n",
       "26    False\n",
       "27    False\n",
       "28    False\n",
       "29    False\n",
       "30    False\n",
       "31    False\n",
       "32    False\n",
       "33    False\n",
       "34    False\n",
       "35    False\n",
       "36    False\n",
       "37     True\n",
       "38     True\n",
       "39     True\n",
       "40     True\n",
       "41     True\n",
       "42    False\n",
       "43    False\n",
       "44    False\n",
       "45    False\n",
       "46     True\n",
       "Name: WeatherIcon, dtype: bool"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_nondup['WeatherIcon'].isin(precip)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "http://dataservice.accuweather.com/imagery/v1/maps/radsat/{resolution}/{locationKey}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 88,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import requests, json"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 106,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def fetch_images_url(key):\n",
    "    url = \"http://dataservice.accuweather.com/imagery/v1/maps/radsat/1024x1024/%s?apikey=HackPSU2017&detail=true\" % key\n",
    "    resp = requests.get(url=url)\n",
    "    data = json.loads(resp.text)\n",
    "    return data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 107,
   "metadata": {},
   "outputs": [],
   "source": [
    "data = fetch_images(335315)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 117,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'Link': 'http://www.accuweather.com/en/us/pennsylvania/weather-radar?lang=en-us',\n",
       " 'MobileLink': 'http://m.accuweather.com/en/us/pennsylvania/weather-radar?lang=en-us',\n",
       " 'Radar': {'Images': [{'Date': '2017-11-05T11:40:00-05:00',\n",
       "    'Url': 'http://vortex.accuweather.com/adc2004/mapspace/usradar/1024x1024/PA__1711051640.png'},\n",
       "   {'Date': '2017-11-05T11:45:00-05:00',\n",
       "    'Url': 'http://vortex.accuweather.com/adc2004/mapspace/usradar/1024x1024/PA__1711051645.png'},\n",
       "   {'Date': '2017-11-05T11:55:00-05:00',\n",
       "    'Url': 'http://vortex.accuweather.com/adc2004/mapspace/usradar/1024x1024/PA__1711051655.png'},\n",
       "   {'Date': '2017-11-05T12:00:00-05:00',\n",
       "    'Url': 'http://vortex.accuweather.com/adc2004/mapspace/usradar/1024x1024/PA__1711051700.png'},\n",
       "   {'Date': '2017-11-05T12:15:00-05:00',\n",
       "    'Url': 'http://vortex.accuweather.com/adc2004/mapspace/usradar/1024x1024/PA__1711051715.png'}],\n",
       "  'Size': '1024x1024'},\n",
       " 'Satellite': {'Images': [{'Date': '2017-11-05T09:15:00-05:00',\n",
       "    'Url': 'http://vortex.accuweather.com/adc2004/mapspace/world_ir/1024x1024/PA__1711051415.png'},\n",
       "   {'Date': '2017-11-05T09:45:00-05:00',\n",
       "    'Url': 'http://vortex.accuweather.com/adc2004/mapspace/world_ir/1024x1024/PA__1711051445.png'},\n",
       "   {'Date': '2017-11-05T10:15:00-05:00',\n",
       "    'Url': 'http://vortex.accuweather.com/adc2004/mapspace/world_ir/1024x1024/PA__1711051515.png'},\n",
       "   {'Date': '2017-11-05T10:45:00-05:00',\n",
       "    'Url': 'http://vortex.accuweather.com/adc2004/mapspace/world_ir/1024x1024/PA__1711051545.png'},\n",
       "   {'Date': '2017-11-05T11:45:00-05:00',\n",
       "    'Url': 'http://vortex.accuweather.com/adc2004/mapspace/world_ir/1024x1024/PA__1711051645.png'}],\n",
       "  'Size': '1024x1024'}}"
      ]
     },
     "execution_count": 117,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 112,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "imgs = data['Satellite']['Images']\n",
    "urls = []\n",
    "for image in imgs:\n",
    "    urls.append(image['Url'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 113,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['http://vortex.accuweather.com/adc2004/mapspace/world_ir/1024x1024/PA__1711051415.png',\n",
       " 'http://vortex.accuweather.com/adc2004/mapspace/world_ir/1024x1024/PA__1711051445.png',\n",
       " 'http://vortex.accuweather.com/adc2004/mapspace/world_ir/1024x1024/PA__1711051515.png',\n",
       " 'http://vortex.accuweather.com/adc2004/mapspace/world_ir/1024x1024/PA__1711051545.png',\n",
       " 'http://vortex.accuweather.com/adc2004/mapspace/world_ir/1024x1024/PA__1711051645.png']"
      ]
     },
     "execution_count": 113,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "urls"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 114,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.image.AxesImage at 0x7f6af43b5dd8>"
      ]
     },
     "execution_count": 114,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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4H4cm3vUhja9luJdeQaaEKM4Qp69VPYGhN33tCdHjc3uf3nDd715KUKjJKEDfz5lcqyjm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WWe/miC3oYJ5W7PJ7n09wQANRXFR850Zeic9+qyLm1/Sp/IbbRMUmNIUwXap6sP+vOmw+B7mAzB\nc4TaTzO/j2DC8LuhfGIAoPYJ/bFo/Q6d6E35zVB+NyZQ66D21eRYhEEY+zoSMDk/wzgWtD8QPQap\nigZfVzpy9PXiZLRS29+RKyfXQWEyhkkSy5xJF78dkxP6ewDlk2jiZ1PMPcJeR0R/LHoMtqOPMLGQ\nx3wf/PUCIOnt042FgsZzsgDTedQ5txquewctz+oNe/1ep/PkM+lPdyZ9vQFbfrzcGTcbjMe0xP1f\n3/Lj5QD6+5Rt8ByLnLWcZWrsrE9uR3sjaH10FeTLhtyO9dL+KjHCriPZQR+LZCcxTu8N7s/HaDOa\ndKV+P3K0HRMN4WsCAGXJ4j1vdL5SAJAh+invHvI5wQSj5xFrmbl/vxmb2t6z5zfVWOl7fpc9v3ly\nFI6Iypn8r5s9ffIyglNfc/dP+ql/n5ivzjv1tdX28ZKPW80jjii1+0dW1E39HVvsebV3b7HnA0DD\nmu329KGXHX/MWdd/iEMvX4ia6z7SBhQAQIrwxDlt8GyV6y3si1DSIg7DFIIaiZO+/LB7gTdmudtX\nHHKmNzbYk9XXtOCE1BbzhEGv+kuPLIqoFQbq1271bKe8jF8pSfXXJHn94v1NllERy6gXaz8hh0It\n9c0VpBiGYRhmZCH/GHYqhGgZhmFGJ+03r8aU5za72n7I6VVqqpVfWwgzQpQRqG1Tah5pRts9TjRR\n/R3N2P2jVS4xRxZw6u/Y4ivcyG1KwBkuWMRhSp5Tv63HpCZ3NI5Io1KjcQQeQScbs0QbIeTI0wCq\nr/AKN4ATSnxiYwNOHrWqCMkCijwd6Y65RBk/gUY33w+/8GBVsAlaRhV5ZPFGsKntvYKEnIZ/sipo\nsGjDMAzDMKVJPmkN7y/6cbBhf3nTPs+POgNNe2q4xR2Vo7Y9y39zmz1tRbdIfXK0MJEe1fDNbfbr\n5WmGYcJHFm6EoKNG24TljzMQAQeAS8AJg0MvX4gK0FWph4MwgrYYhmEYhmEYhmEYhmGYQYYjcZix\ng5pOJeEXhROE7pchOcLGNNqmUEQ6lcn2MAzDMAwzdlD9cEoNNWLGE02jRBEHjXE48oZhimf/D1aj\nqcbdNqH95tWI5AqvTiV74gwWsifOaIZFHGZEIFKn5P86Er+foffEeWNWoCeOjBB3gjxxVEElKH1q\nKFDTrEJdd38aVct3LSPKmeB0KoZhGIYZ7dRc95HvfFNTY8/rChBeWMBhmMHHRLiZ8tzmQB+cQpAF\nnxBqdnhQPXFGs6DDIg4zatF64gBGnjiCIE8cAIGeOIC//81giDomRsdCaXfnwC/V+uGo4g3DMAzD\nMKWLiR8OYP04Jv8CH+SHE1SdqhhkTxyZlh8vR8PNkl+OpkgDwzClRyGROTrz4oEaG8uMZgEHYBGH\nYQaNQgyMi0EXbiwjlpEHbZSAw+INwzAMw4wMCk2lckU1nwt/e/zwS6eSodKpWp67FMhFOBqHYYYQ\ntTqVwM/YOKjEuNwHuM2LT31tdWCJcbmCFUXbPY22eCNPy8gVqnb/aBXqr3fKj8uVqUodFnGYEYNp\nKhXgrU7lQY3KCUCuTuWHqYAioKJwTH5hopah+lueuxSI5fXrYAGHYRiGYUYUplE4pYIq4KieOAzD\nlA5qOlUk57+cLhJHl05FRd4E9asVqeS2XE7crw0ECzelLuiwiMOMSgr1xAkSaYrxxNm9YaVHtFHn\nqW0/02K/1CjdMn6vKQQWcBiGYRhmcLn3r27Cw79+fsCv/29fvBKAI9wMJy3PrkDDLe+YLfvj5bZ4\nI0/bbSKdSl0PR+MwDDMWieTz+l/kh5OqBeflVz57o90uj6fJ18ytbNf2T4oXHy+aitLbQXE2myKX\nSRCOT9R2VMZ6tP2dBtvwH+112v49x6q1/QCQSOj3ozxJH8/xZXojXerc6OjV72t75zhyG851EMcr\nHSXXQZGoMjMMnnfDDux7cYlvXzRKf6djMX/5fPYDWRx6gN6PmqoObf+iiUfIdVDnd1e2jFwHxV9M\n/IBcZnrsjLY/FckUtQ09ef0A+0h2ArmOcRH9eVEV1X/XAXo/EkE/qUg8cfTKwL7ftdaTry8VNv3Z\nU9r+nnys6PdIEef3w0eatP0j6Xj+ee3uotcx2PsbxjaGwb3TN5HL6M6/dJ6+Pnfk9dfOtvQkeh05\nvZBvMn6gxjnpEL5nk+Nd2v7FqU+0/SbjuSri+ut37bz72jUAzASWx/79J/g0U0Uut7tvOjZ+9bPk\nclVPHA7s239mcmDf6bP0jzfZw/RYiSJXRtxrih9KmaHbDJNtoMZamQi5irLj+vMj0UlvRqJTvx0m\n6yg/qR8fZFLBB6RrBv097p2o788lyFUgTxzvzDyDcVB5H/1GBNms/uTI5fSfO/UdinfS5w1FNE2v\nI6G/dKL8GP0sod6OwvCxkTE5L7pq9PvaM49+rpo6Tf9MMynVTa6Deg7ddyr42qvywed/sD2fz5Mh\nicMv3zMME4hOrGEYhmEYprS46y+/UZAvzV1/+Y2i3/Oan72Ft04GF2dgGMHEnwf7ivRePTxRTXPu\nt3xLDjzQaLf9ppnSJkwBh6FhEYdhSph9Ly7BvBt2+M5nGIZhGKY0CBJjHvv3nxT8Gh3X/Oytgl/D\nMDKnv+J+2BaROGW/3TYsQg6LNAxTOCziMEyJw4INwzAMw5Qe933+a74pUzrhxm8503QqhqGY+owT\naXP8Vo6MYJjRyogScbozdHLcztP6m1zGIJ98SkqfKFhTrvfQAGjvHcoPBKDzxcdH6PzPYrdhdsUp\nbf8e0J44FKk47TkSN/Dr0HGmW5+b39NtEPvcS+T9mmxivHgPKspjKB7gd+NeJmgdUVSV0+fVhDJ9\nfqjJuVUWLc5rxmQdPQYJtR0RwttB4zdTrF8OAEyO0QnrSdDHcyRQ+0Tx+9H6Hf33MAzvE8rPplQI\n43hSUMcbGHw/G5P9pLZzqDyGqPOP8kIC9L45JudmIq+/B1QlaY+AY9lKbf+5OO1Z1kF44vTk6ftu\nKqL3sEgW6R1ocm0N8gvzS5sKEm+ozy0Mr8WKOO33YTLe0hGGX0cmBNMbcihv4A0InXeJwetJSyeD\n3cxU6L+rsR56JbmEsx/nPdmMTW3v2e2mGm/UjR/ZZNR3etxvrMIbZQDO3uCu6jP+Rassc0V/+9jt\nTjTNtKeacez2Rkx7ykqT+vReq2/mw832tNw+/4fWcge/7/TJX5lIFshUWJ9J7d1OOejWR51tynXQ\n471zxDKRrMH5TXjeUJQf03+mMQPbHupyEeulz1/KIjaapdeRg/5YUN9T6jtk4onTN0n/HYom6Gei\nbJGfKQDUjNNrA1Q/ACT7n2loN0+LESXiMAwzeEz7uyiO/UMOtF0lwzAMw4xd1DSo/LvWsPvOudYD\n8+P7g31HGGa4CfLFOXedU2F13G+22u1sWQTjX9xiCznydHe19aQuhBuB3FbFm4FSe/cWl3Cjthlm\nLDHmRJz4lQeReX22th9vT8GZy9ox4e0pAOCaNmHnsgwa/1T0pjLMkCEEHIZhGIZhgpEFnMf+/Se4\nc+5qj2jDYg5TyqjROclOa/wnCzfFIgs6gk/vbbQFnbCEHYYZq4w5EUeHI/B0FSTajFQ2LXZysJs+\n0JdXY0Yv0/4uityOj1F9jXt+52vzC15XoYKnzLalMSx/L2tPL/mDNX/HJXks+UPxoY4MwzAMUwj3\nz19mT0cuXezqCxJwAEe8CepnmMHg6Lcb0VTjbpedKj6Nv5SQ06kYZizDIk4/aoSOeBg9c1m73QZg\nP6DuXObkFS/a7n8Ymy92kqUb/9QX2BfUv/y9LLYtdRIGxQOuQBZhAK8Q8+oFU3DtR+149QJrm6/9\nqN3V586bXcpCzihi+hd22tNHXlkUuJwQcE5sdEqTphLWuV151d4BCTkDRT2/GYZhGGa4uH/+Mo+/\niBByTI2LVW6bc5k9/fSBt+15f7fXeZ9/mL/U1RbzxBhOjOkA97gOANpWnQUA1GwZj7ZVZ1GzZbyr\nv7xpnz3dvWnegPaBKW2Ofnt0R7dw+hTDWJS0iBOJAIlAA1Z/Onr1jh7lAE50Vtht8bB75JVFQL+/\naDobQznacaSrCthUhfKmffbNrrvLEnTkG+POZc5N0+Ismi9OuoQZud18cRKfe99tnvzmRdY2OfOT\n2LY05hJWNi2ustubFlfh+p3HXOt4edE0AJDmV+HVC6b4LicPTABgU9t7aKpZ6hGTDnZNgo50H30K\nUUa82XzxURbprN4dK5PVu2uZGKJFe/XrMPDMBgijsKiBmR5lXDz9Czs9A89Tv3Wbek5KdSO6rhK5\nHR8Db8xCNRyHM9u0+O0pwGV7XZE1tqgprat2m/OdOwOguqzLZTgshEhVpJmRPA3ALTY6A9IpmJG0\n3mUHquxpQBUvrXWr3ydBO2HOCdCGklUINjbuydPnP2l+HMKPZGEYLI8aM98N9Dooc1mdsawpPaTr\n5cggDFPhsN6nmNeHsY0mhGGgrFtHGMbdZue33nC9J08b4FOm7SbG8+fytIFyMajXznv/6iap5bWX\nfPjXzwMA0kY3fDe3zbnMFm7U9pSou1iA2gaA+uQRPFZ3Ie7a86E9T26/umqKFM1qjUtnpk7by25b\nGnP9WFl+5T5X22T8QS0RTdPjubL24sd81KnTN7m460m0l97GfEy/TK7MwFC1Ur8MbUEOUA7KfkOc\ntDI0ikmfW7bMOx3pH7tGpDGsmI6fc+YFTVvLW//b7rFSqdruaYQ67JBvm+q0aMvz69ZtwZ71lqiT\nbKev8dT5WWQNFQD0s0BCXzvHc9z8II2N0/Q6qH0dwCWuYKj3yKZMrhX6fc110veZs3G9dlCRpI3n\nu7P691lYcYRcR2WssIJFQ/ARMQzDMAzDMAzDMAzDMMVS0pE4g830L+zUppqYooarAt70qIEQRnqT\nGoXDjG7UKBxARFm5o3Gi6yqRW98JXGG+btnvprrM+SmhdXmPKxpHRvjcyGmBxSBHowFAuv8nmTcv\nqgiMxmGGh9ob30Prr5YO/hu98z6w4qJBW738a3nQNMMwIxd39M3QIa4fTx94G7fNuQyP799se+jI\nXjpi+tNMlW51LsK87zKjj6nP+Ps0yWXEz96wyi4jDgCdf7XSNV35662u1578Ol3KvFj2rF+FunVb\nXG2GGauMWRFHCDiudKohRKRPFYNIn2KYQphyX8wScAqkUMNi2ahYDCjVlCp3ChXDlB4s1DDM6OSh\nL9yAfNI7DBYpUwDQVOM8uP7jvq2eZQtBiDVyeyA8VndhUdvBjG2O3+oVW1IB5sdC1In4WAEIUadv\nvDepQxV02u5p1LYPPBDcVvtYuGEYizEp4sgROOJ/WFE5poQRNTDQKJvrdx5DU81Sj7FxGNFDTOky\n5T7rV7n2h7LQOx3RtC7X5236CTZhoRp6MwzDMEwh/NcvfhmQ6kvIwo1MscKNSpAnTiHInjgMwzDM\n2KSkRZwochgXd4SFviy9uSYmufteXAI/r9LuHsuUKB7LohxAV5/VlqdFuzymNzka7zEnSkrzkkgY\nmIjWJE4pc6qkeVWYFqfSrYIjdYSQI6jdlsLRPm9KzCenJ2rfIddDh+umk8Qy5eQqSDKEO1ZPd1Lb\nH0nT9lBh+L7mEnoDLsoEGgDKEsEmtqd+W4+mGngEuuiSheh73DIvHg+gtuoEAKBVmhZMllzXtiGG\nhkpHLBTh2XLJ7x2X5FERc+z3Wpf34HPvd3lSnD73vjvtiYrCKZOc2+TpQiJ3xvuYQ6pQ5puDjYkp\ncSIMt71SQk2BktvvvG/9X3GRe7qf1u/EUHujdX63/mopam9UTGtXugVyOaVLpHjJr5fnCw6u7MLs\nrRWeaaBLMkV2v08Yv7CXIqVgWhwGpbANQPHH08Q4mTI/poy9Adr8OJGnr0lnc/r7rokrYwq0oaSO\nJLyf+//xxa+52y/9VGtSr7tG/+O+rb5lxO+ca0UiyPN1oo2aQiXa8jqEybNs9vxMfR1u3b3Hboux\npaiA6h5rxhBX7iVyO0YUTQCA3nKiOIOBsXEYZCr025qPGZjDZoK3NdFRvGVon5Lqj6cAACAASURB\nVMGvZWGYx1Ie+pQBMwBkCP9w3SOPgT85aaJrMr5OntIfrJjB79DU+5gMtaj9pR5DY736czNm4GZN\nGRf7RU4VSj46+N9l8tw1+H6E8WxmYupOQekCJkb+hVLSIs5Qsu/FJZh3ww5L4CkQEZUQ5Atigogu\nKMYH55n6OgBw3dB1FLO9TOmSeX02mmqctizgFIMcXdObC750CIHHT8hhGGNUYad/WhZchBgj8PPh\nUeeprw/Dt8ev6oz6UMcwzPChCjeAJd6EgSy4yPNUwkinunX3HnusJ9qCxj/12eKNPO3uP+TMeGNW\nwe/PMAxjwsSfb8apr/n7JE36qX9f9b9sxom/ob2VZjzWjMN3WWl2tXdvGbNl51nEkRBCzomNDZ6+\n6mtaAAAnNjagdlvKlU5SqBjS9EGHJyWkUPFmza4Drhs5YC7eMKMfuWxo8s7g5cS57HcOm6RE7bik\nMPVaCDtAYRE1FOytM8IQUTbyf79lCOSoGlP8RBuxHvHfibwZpQQdcwPhjGFGEn7iDRCegCMwFW11\nwo26jqB16sZ6ZFo8CzcMwwwjQsCZ9FMzwYYJZsyJOFSkzb4Xl2A8elxCjp+ooxNurD63KKOKNJRo\n49e/ZtcBV5sSbUZaZarKq/Z65nW+Nn9Q37Puy3/Enl98puDXUcpv3botJWG+lrxzHBmFo4qSrbDi\nG1UBx13twhJvlvwhohVywo7Gufajdrx6gddgmQUcZriRf2EfFWhENBZ1mJHAf/3il13tsIWbUqP5\n4iR7GzIMM2RM/LkjNJ/+iluQOf2V1YERN36YRuEwDiUt4sQieVRInjjnMkR+NYCedPG7FCNy4070\n0r/SVsQmaPvLorQPhuwD4kcip4+SOJXRb2drRzW5DcInKJCMPmGx4ZZ37OkgAS2djWHS1btdJbAF\nk67qn09sRnlcf6wmTggWESZO6EJfBZ2E2tvrnFv7XlyCKNziSLrbvZG5iYXn8leV6w2DAaAyoR+k\nTSizfGDO3jYV458+7rtMhZJ0K3vcVCeCPWI+129RIufZz/gAnmm3h417n9S2M7+dnFbblLfU9PgZ\nbb8JfQhO2vXzWyiU8cT3HDDzsCiWYr021L6DfstvkPpXArM37LX/y/MB7zzRPrjSvV75fQ6SezB4\nFJoaQR3vUvFwYcKl2M/VxFPH5LtMQXnimDA+qr9XpcMwBAngvs9/zTYuHgniTRjHQk2h8hN0ErHg\n8y9u4IlD2SBSvn8AEMnpvTbyBv4UpL2EweHU+d7EaTs9kqiB12JmXPFeHBRZwu8GoH1FckV6HVGn\nt8nxph6bTLxRKM8bk68htQx1pDyWqQrxHvp7GIZNYrGXnKpfbVH8N71CDuDveyPmqdsgt6c+4whE\nR7/trlAGAEFD59q7nRL0rY+uAuL0wSpL6k8u6hkTALqz+ovS0T66KIv6bEZR0iIOM7JpuOUdzxfc\nT8gJEnAAy6h30tW73SHAVxxyLyT1pS8/jMTvZyB9+WF7XuL3M+x0OMA/sqrmuo/s6bbfXOCZ3/ab\nCzDvhh0A/P2TRB8AtLywzHdfGtZsdy3TsGa7a1m5HyguCunsbVMH/FqGGQpmb61QTIOHFzmlajb0\nxrAUA606U1IEpFyJ9DU/ryGBZ75sUg0YpcoxzEC47/NW+pQoHT4SBJww4UgchmFGOlOf2Yzjt65G\nLmFJYuc92QzAX8yRUbMkau/egpbnLh28DR1mWMRhQkdE38gCjmgHCTk6Tv22HpPQL9Nfccib033F\nIeD3M+ymEHLkNuCIN9XXtLiEnOprWjzCjdwW84K2Wwg6IhJHFWNEWyfYCEGnZoZTkazyqr0DEnJ0\nETgMM5QcXOmNgCtWtBHiT1AfVrqvO0OR9hOGYemQI4sqBSCLXQKqra1GxjAhcd/nv2aLNwzDMMzw\ncvLrqzH5Xze7pk9+fbXdFmKN+B82lqBDZ76MVPhux4wsDEz5ZAFH4Bd94+ojvuNtv7kAMIxyE1E2\nxS4zEKLrKlnAYUqCgYo1fq9T5+nWHbl0Mfbc6X9rUwWd1l8tRd3jGXt5P8FHfi95WhVq1Pa3rr8l\ncBsBoK7/ohO0rYNOkLHxUL0Xw4SIn4Dz8K+f15YOZxiGYQZGx42rXJVw/VKpikFOpzKl9dFV3nSq\nUQzf3ZiRiZpSNQoYDFGHYUqdT741L/R11j1e2C8v6vKfgN6mb0Ev0gz0vYPIR51M+0gu72oHzWOY\nscrDv35+uDeBYRhmVBO2cCMjp1MVAqdTlQidfWXYfHCu3U730Zub6yTczgwM0zqIZc6kysl1nIhX\navsnJGgXr8N9E7X94wl3rBNp/TZ0ZyhnOCB9Wl8+PeJjdrZ7g+VM2lQDxRNnKQ68dBGiKNLITU2p\nuuIQ6sZb0Sc7AXtasBPA/3r+Tru9DTG7LaY7Jee3nQCumN1iT6O/vb/TqYrUDeCCGUdd0590uM2s\nJ1ef9bQzWbfDV9Ukxxz5yCuLsKDaXVFsArzGvNVl3lSSfTfNBQDMe34/kkam2cHLUGbBADC/TF/5\nrId0HQTas/rz04RURJ//nzIwDR5sEoQDXdP/vJ1cx1CY3NaamDRvCO76znmv+86/6y+/4ZmXf9dy\nwI5cutho20YqkT7re/bUxuc8fQ8faSpIwIrk8tp20Dy/SJ/aG/0NcuX5YvrPa3d7TKr92oNJrIv2\n+chW0IUPGHMoM/UwjI9TBveaHj9XTIW7r11jR+E89u8/UXpHbyi9isn9bnbFqcC+jl79eA8AOir0\n9+10lP68EvrirKEQ7aZdW3VDaINhFGmka2I+m48NvvBuMBxD3wT9dmjqXRgZJ1NfYxNT4jCgjkXO\n4KmY2hfqa0idFybnTSgGzSGce9Gs/nkuH43Y1akm/6tVqUr+rNtvtlKp2m9e7Tlu0bQzpqn+Fysq\nR65eFet13luYlM9+sBkHv6/45hAFeACgl9AXTpwbR66DwsQceVKZvpqwSkmLOMzIZveGla5QuwMv\nDSyk3mVs7OeJM8bZd9NczHt+/3BvBjNGEULEXfCKNUHI4k2hv5hT1bxMRLEw0FXqAswecs//533k\nMsVGKvlF+gx+PRSGGRpkAYdhmOFlxmPNvvM/vVdvSMswMu03r8aU55x0KtPS4we/34jZDza72qNZ\nyOc7HzOo7N6wEsnz9MqiqEDlW2K8f75tbKwSQlrVtqUxLAoxk0muhBXE9C/sJJc5c1k7Jrw9RbsM\nCzjMUDMQUUH8Oj6YJYVHKyZCTxC6z6pYcUeuLCbMjgVDYSbNjF3u+stvINKXscQbKQDLG4XDMMxQ\nc/gur2Az8+FmFnLGOCIiR6X95uD5QVFPsqijRt54InFGMSziMCWBXUrcZ76LN2a5hRu1PQCWv5fF\nNumZY9H2wr4W5W+dh+7PHkU1rPSqExsbfEuay/OOvLLIJeSItpw8pRNw5PQphgkDv1QclSBR4Px/\n3heYTjWU3DbnMtSCxQRBkGly3eP+aWyRSxc74k7/9CeYh8ilwCffkpez/ot5dcgAAYbSrb9a6k0H\nZKNjpgB8UzKV6JtSEnDunOt+KHl8f+EGnQxTakx7yolwOHb72HlQZphShX8WZRiGYRiGYRiGYRiG\nGQFE8vnSzY4vn3F+ft6aO337Zj7sn3cJAEe/7SjE5z3Z7GqnDarenmvQ15KeOo12ZZs74SQAd0qM\nOl27jTaR00EZ2LZ1T9D2t57Sp+oAwMlP9ebKkV5aB8xX6Ldz3CTa5HlihX6ZyoTe+LK26gT5HhRt\n5/TH08QoWl6mvGkfuje5Ixsmp2hTq961k7DghT2B/SbGxDpj48lxr3GySiVhqj1UTIvrv4vTY15j\naJVURH9+6oyJnzh6Jbn+37V60wRlGv6BPv8Hg1y5gdthAH5VkGZv2Eu+Lgwz1CBum3OZy0gdsMzU\n/aJxwjCK9jMGltn0Z09p+88SDothlEYeH6UNgYW5LFUSvRDUiByT421iXqyDjY0dqHMzDChPqDAw\nSd3855ef1fZTxshhpHjK94g75672vQ49feBt7TpMDJzbc/qiGvv7qsl17OudFvz6bnpM+D/21Gn7\ncx30fSXZrt/XqE/BDJUwjHITmqFOorP4ZyOTyjqUKXDW4LKWJR4l8gYFXSjm/v1mT6GSQ/dZz1YR\nafVBaVMzH27GJ99z5p//Q+cZ7pPvNbo+r1kPNePQfY2Y9ZC1jHgf0VbTtVQfHvX95edFdRs++V6j\nvS1ynw7K9Dqmf4TEuKN6V2LZsHegmJx71KXPxGC52PfIEebKJpfnrhr9Onqm0TuSK9cvE62kTYkn\nTtA/O80Yf1bbL/P/fnbD9nw+T5bVGtHpVH4Xivg5r3BjirhwCBrWbEfLC8uK2kbK04QZA4h0rxAM\nmSkBh2FUChVrREUluy1VH+AH5dFL0MMwVaUIsIRK2WNHTEf6Mth9b3E/VjBjE1XAOf+f9+HQN87H\nrJ98Yv9nGGbkIcQTuS0/ewHu5zFVvJnxWLPvtPhdRBaSVFHJ771FW+1jmFJnRIs4Y43W5U70Q7FR\nPMwQIlXWkn9HU6NwguhdO8meLtsQXB6UYYDCRJto9/CXYGdGByL6RhZz8sk46h7PINKXQS418Mgv\nZmzgF3kjjL1lAYdhmNLFL1OiUHFEFXUO3deImGGwZiEGyizaMCOZMSfiCEUXcF8kxPxZDzWj5YVl\naFhjlStSo3HEfMAx3RWGvLIJr0idMqkwBLgFGsAr0rQu7/GEMhZqwMsMM2/MMkq5kuldO4mFG0aL\niWgjomvkqJrRxtMH3kZTzWWueWPd2Hg4CBJzGCYInWG6YKRE4Dy+fzOaatjYmBldHLqvEU017nYQ\nsogSlF4lp1MVw+G7GgtKp2KY0cSYGlmd92SzR7gRbZF/abV7bSFHFXBaXlhme+IElcUulNblPb6i\nDUfbjG1YwGGCoISbsSDa+PH0gbfR9D9vH+7NGJUcXOnO9xblxYNQxZxILu9K1ePInLGDibeNjCze\nyJS6gCNg0YYZjeiEmyA+vbfR44cDeCNgTDyMgtClU4ltEOTG1FMvM9op6dM5kgFSJ5yHENVkKUhd\nPf2V1Sg75bxOTJ/+ymokFV8hv3b2oOM0VnbQ7TpWdrAMHRWWuNLx0kVAV/9/AHOufh8HXroIc774\nPsrfOg99/RelvqxzmOXpE71iENwjTcOe96d2R/auhNc09D/a5nvmyfRl9B9vOm1gfhjXmz1Fug1c\np7r173MuN45cRU+33otjXIXeSSwR098hxsXpOM2acXqTXMr4GKDNj+X+aMDyfcRdqDJBuKoRHOyd\nTC4zKa43YB5vYHxcTZgSVxmsY3KsU78dBsaun2++VduvM2U1MWNd0NmuXyBDj16yM/SfSezwSXId\nYRDD+MC+g2v11yMAaPqOXmAxMUuljKLDMC02gdpWyqj0WLZS238uTzhegj7/wzBtBSwBx8+slRJy\nAEvMEUKOiMjJRyOI9qRZyBkkqO9AmMbHn3xrXqDoUoh4E7QOJlx09+byGJ1eG4vrz618mr5uxXr1\nRqSUcSwA5AnfVpN16AxowzCGJbzrjTDZDxBDpWyK3pe+icRYPxe8DlWAMTFjljn/h95onYjy+5Pa\nFrg8caShcdD0+T9sxsHvO++lfoZh3DIpQWooDIOHCuqHQr8iGKVIhDBTz52j5ZIe4sfVY136MR8A\npOImX3iHkhZxKE5+fbVnXpS4B017auBhdQceaMSc+53XH+gXb8LgzGX6B73O1+a7Qhk7X5sPsJ0F\nw4w6KMFGMFTCDcMUSz4aQSQn/yCTRz4ZZyFnAERy+cCBsa4vbGSBxkSsEVFYIyWahmGYcDj4/UbM\nftCJxpErQom2kVjlg186lRzlo76XLOAwzEhnRIs4hTLx55tx7HbnCzwQQefAA43AIit8Z84X3w9N\nyPHzzelUfmTtfI3+pZsZPeTWdyK6rhK59fpf25mRS3YqHb0lYNGGGcmoQg6AUSnkDFRIUY/NQJf1\nHOMQRZ36h3sK9jeSjYlHCn87b2Vg3z/u20q+/s65qzmlihmTBIkkVDqVjBqVo7bVEuOinSmHL0Hv\npW4rCzzMSGNMiTgyAxFw5tzfbIk4AYhUqgMvXYSFOFbM5lmROa+ZP+AxoxMWckYPmQOfIHLpYs/8\n/LsfAICrjwUbppSYvbUCTTVLPfMKRRYUhNiQT8YLEjCGi7BElqFG3pZCBB1RVcx+bTLuEXAKSYEa\niZWlTAQbE+6cuxpPH3g7lHUxDMOMBSb+3BHCT33Nm3lTCHXrtmDP+lUDem392q1o+fHyot5/sBhT\nIs7pr6y2xZtjtzf6CjnTnnILNbJwM1jpVKKKlTpPjcRhGGbkYJsPl1tibGTqBOTf/cAl1uTf/QDx\nmf15kiUs3GQ+bXO2kxmTDES00aFG5qhm3ZG+zJAbcw+3+BJ2KpS6P6LtqhzWLyJ7uHRxYNTNnjvj\nWk+ogyu7Qj9fGIZhmLHBxJ9vxumvrLa9fyb91BJ0BirmFCLg1K/dit0bgqMxS4kRK+L4+eH4cfor\n7uXkdCp52q/tF3Ujp1P5oQo75W+d5zutpk+ZlCFnxiYiGkdMM6VHrjzhehjyi7gRxI47BtkDTANn\nmFGBEC38xJN8Mo48Bl/MKUS4GSkmjQK/yCdXvyIqU32i4thAGU1+OH87b6UrUicoherOudYY9LY5\nl7micW6bc5k9Lc8X6xGvA7jaFcMwYwch4MgI8WbSTzcXHZUzWMy6/kN7+tDLFw7Je45YEYdhxhJC\nvImuqwSePzHMW8NEeyxX8XzMekjKv/uBq3pPU40l5ES704h0SpW85pyPzIFPEJf++1WnynzaZk/L\nETBqRExQW7xejZ6R5/u9Vkb0ifmZT9sQm7jA7s9+uMuejl3YP/+d963/KyQx+533Xe3aG99D66+W\nuv4DQOuv3Ok6zNghH424Kr3JUTn5ZBzoT+spRswxFWtGmlCjRXwfAeSl76CoTlV7Y7Awo+sbK6je\nOANJrxKCjCrgqG1ZqFEFIfbYYRiG8UbiTPrpZkzqnz50nxN4MeuhZhy6rxGzHmrGnvWrPOlUol23\nbgsA2JE39Wu32v/VaJyGb26zp9X0qoZvbvM8AwyFkDO279AMM8LIre/EvpvmYt7z+4d7U8YE9Q/7\n1+4URqy6EuPR7oGVj6OEmkJer5vWvac8TxZ8xGNw9sNdjnDT33YJN4YIIUdMg1MwGDjfHSHm2Gk9\nkkeLqaBjIt6MKuFG8M77nkFlId9RVVQVYqtf38GVXfa0mkalplb5tYNeO9yE5YlTKCzYMAzD6BFR\nOV011v1bCDcCp+1f010WdurXbsHuDSuxe8PKQAFHFm7U9nBR0iJOJAckzjkDsGiaHoxF/D8rm8y4\nKL2OrH5AF0Zg95neABt1iSMn9MbGuQ59RQ9yPyqLT+aIeIMIvO8TwlmW64lp+zvTxPGcdErbXV3W\npe03oTtDV1g5dU6/neVV9IP/vOf3Y99Nc11tmd4cfcC7smWBfQe7JgX2CerGH9f2p6IDEzBkxkV6\ni15HyuAErX3Cu4yItMmlEoid6fb0x3r7IwPkKBuFyGn/tMv4zBorCmdmjRWFk/XZRnWe3Nb1AYhP\nPy94+f7p+PTzkDlyVLte3/XIUUNKBFGsqw/oF3ay77yP2IULbLFHtGtvtMQe+5jL0wAOrqUr8NXC\n4KIjI0UjuBiA6GSCeEhN5+l7jQ6T8z9Z6LHwgfqO/K61nlyH33coDKLdaW9UjkATnRMk3Aij3tFU\nDasY5Eg4eZ6KLLaKthBcdaIMRdBrCxFzHj7SpO2/d/om43WpJIgBJdUv05OPadvy9cLv2mFyPamK\n+f/o4H7fZGDf5AT92U2dqE/pPpLRj9UAoCcavA0AkDxJr4Pa1VjA5fO8J4OLmsiWCjmDS4RmGAUA\nyBtow1Rp7aD9KHQZCupU1g3pTJ4DqP00KTFOfQXCOA55+tQz2t+itsFg6CCiwIshR6wjlzLYDuIH\nEJPj6UdmnFi/2XJ+CEEn0RF1/RcceKARiQ6nnTgd9Z0GgNZHVyHW4ZqFWId+57oPjXe1z5XTJ07Z\nRPoaLlPSIg7DMP7Iwo0s6AgW/9suzzwGuP2am+3ppzY+5+mXxZtCiM+ssX7pltojCVvUUeaNGvwE\nGyXNayRy//xleGDv9uHejEFFjcoRCEFHyDW6iBsx0MyzeOMhKOJmoOmNs7dWFCTkqK9lmKHg6Lcb\nPcLFtKeaPd6YDMMwFK2PrnI9A+z+0cAqYRUKizgMM8JRI3EqYr344K+dVBcWdPQI4QYo7hf6+Mwa\nZGdMtholXGkqCFW0yRw5OrqEnDHE/fOX2dPDlRISNkFiThCjMkWqEFZc5BpUmgqWcnrjYPtUqYIP\nizjMWKbmESdKqO0eFpMYRmXqM5tx/NbSNDYeKuFGprh4b4ZhGIZhGIZhGIZhGGZI4EgchhmFyNE3\nclROEGPRKFmkVo1Ffww1dSrsqBvZD0dul2z6kkitklOsVC8dZdsLiSCQyxGL6cfqrMoFd+350LWs\nmB/Ud9eeD13LqClV989fphjarhw10ThAsGF4tkLvszEmIb5vQxFtQ1GsJ85woZYBp5ArTPmVEC/W\nQ4sJn+nrnciYI+saPfM/vbcRMx92pgF42oJZDznrks1XBTWPNHuMyDkahxmLnPib1aj+l8048TfO\nNXLqM9a1s1SjcIYLFnEYZpTjl06lGhsLX53RLOYI0Ub1wrntr24djs0JRPWnkcUVP++agazX7z0o\nT5zMkaOITbCM2mIL6pDdtcfuiy2oG9A2DRl+5sbqA64q4BD9uoo7AlGiWBVR/nbeSlugEcKMOu3X\n9lt+tHviMKOXoO/NcGNaHSpoOXW+33JBr/UTXEeTCDtSmL6+2SPcyG3AEmyCxJuZDzuVcoKr5jAM\n44cQcgR+4s3xW1fb4g7gL44OlLl/vxn7f1D6glFJiziRPBDrdcwKY310XahcXJ8Hb2Dej7i3GI2L\nzg7Ckh7A8ariBya5Tn2EQLJd74ydLdcfr2zMwDY8TqxjnEF1BmIdiSraUj4aLa4mWDqr39ekgTV+\nW7e+WphJdapkXP8+GYNf40yqR1F4jsd6q+LEvpvmou/x4IpLAupYJAzs+02WoaCqcUyJduPua9cA\nAB599QUA3qogFLoKVHL1puysqQCA2CF95S7AXfkpn/GeE7HqKfa02i/3qf2x6ilkW36N3KeLxLH7\nepzvanzO+c4CPb3Ip9zXxdiCOlcFq9iCOkAuyX7hAk87jKIPatn3LOAqhw70R22oQk0RUUJBAk7Q\nw9c/7tuKjrxzvORqbmJaVJ6qirrPcVW0SUXoa1chVXQGA/UzGY73GC2ROq3fGWC5D791+VSnkvuC\nlmv91VLMxm4AtJGxrr8UPHFMKhgWes8YLKhqdCYV7VKR4O/JjORp8vUXT2nTr58Y4wDAsYpKbX9n\nGX0epA4VF0HrV6WqUFPjtnsaXZWK1LYJulPL9LSjLu8xg8tvWbt+7Kmr/GRSFYraxjAC0RKd9HMC\nXe2I9lIzqVxWzDaYnEN+VRllMin6gFLV1Xon0cdiMC+Nn97bqK2KBgCH72q0j6f8GNd2T6PT7rEE\nHvlxwa8dP+dMA3C1Uye826bOo6rRmZxbvTAoCSZR0iIOwzBDS259J5Lr9AMsAMDTxZdkHyz+5fr/\nzdUW4s1gEzt0HNlZU5GdNdVIyBlqsifaPQIQMzgMtDpPGPzjvq1oqllpt02jCpixiWk6lW45SnzR\n9ZdiJA4z+pGrUw1FVSo5ncqPT+9tdBmRq+lYDMMwKiziMEyIlDft88zr3jTP1a6+pgUnNjYMaP3x\nKw9CFqYTv59R8DrSlx8G3pjlzLjikKttEolz9rap2v4PMBW5HR8jumShZhmH//Srd8j31CELN3/z\n8v9tT9cnSk9MGS5i1VOQPdHuajODw+ytFfjWtDcD06kGG/F+wx2BwzAMU+ocu71x0IUck1QPFm4Y\nhikEFnEYJiTKm/Z5BBsxH/CKOYUQv/IgACDz+myUxx0ZJ3354QEJOcUy/mm9ODJn3EkAEQDB5c1n\nJM/Y0//fjSvs6UIEHSHeyMINADxTLzxa6jgSQYKFm8GhUG+Pv523En+31z+NhTEn+2Hw9UVNoSsK\nP4+ksBmK92AYZthhTxyGYcKgpEWcSC7v8sGh/G4AINan/+UxQQcZINtB5Iaepg9bxxR9XhvljQIA\n0W79dkTT+uNB9ZvkdeaTxHaW07/0RhP6ZcpTRNIjgMqUPuk2FiHyQ4kk1D1n9ZElADA11antPwNg\ncsp7ggmLpcmpcyhvssxjq69psfoUYed0t/e8cUXudAOn5ZzJjeNRfbk7skesW9D52nwAQOVVe52Z\nVxyy378clp+PEJviPtulRhidAVD+luOh0v3Zoyh/6zx0f9bavxNbxqNt1VnUbLGMcMV026qz9mt2\noArL37OSf5f9zDJq3bY0hk2Lq/qXqPJE8uR2fOxqf+nj1wEAHVnnmPxy4SylysPqoh6Y85XjAvsC\n/XJkv6lsGE4vJUImeF8iPXRivOqbozJY3il+D/sxyZMnq7x3VlSqklH8cw6udPpbf7UUra3WdC3e\nw+9a63Hv9E14+sDbAIDb5lxmTwPA0wfexm1zLgPg9rh5YO923D9/md32i+BRPXD+dt7KQKHSxO/j\n4SNN2v7aJ4b+/JU/L0qMCeqXq6MBZufWSPDNMfk8wvTNGelQ5/e90zeR6zD5Hg0FPYTlR4oykADt\nI0cxOaFPFZ1deYpcB+VR2BkNvucKcgn9wYjk9OPfSM7tK3L81tWY9lSzbaB67PZGV3WqY7d7/TnU\nQEdPu3/1n97b6Eqn+vTeRhBDVhsTzxFqGRO/GcoWUud7Ez9H7wwVFGryPJJLEJ+pkZeMvt/gK0Tu\nC0UuRp+bQwF53hice7kSUBHIz5R+3CaPuclnQn3PqPMXAJAxWEaiBA4/E0Tdui2+8/esXzWk29Fw\n87sAgJbnLi1qPXVf/iP2/OIzYWzSiMIldmyaFxixM1BUAUeINoLKq/ai4jXwGAAAIABJREFU87X5\nLjHHT6SR58ltv+2dnDpnCzcCd9srbsiiDgDMTJ3GtqUxW8iRpwHLZPHVCz7GtR9ZKUCvXjDFnhb8\ncuEsfOnjQ662LOAAwKa299BUs3TQIx+yMyYDAGKHTw7q+zCFYRKR4bsMERUR5BHiN18WcARBVaXE\nfD/DYlXUGY1RZtkPd3lK7YYRVRMo5MnIwp3f519Iv98yQa8X88V/kzL3InKH2iaGYWx0KVNqBZyg\nZf3mH76rUdvmVCmGYcKGRZwSx0+wqVu3ZVCEnPo7tmD3j9zrbbj53aLFm7GCHIki2kPNiY0NSMFA\ndlbQiUqmghO1v7KAExaygDPcxA6fRHbGZGRnTGYhh2EGgCrgAEKELU7IUaNy/OZnP9zlL5Lo2kBB\nZekD1yfEGN37mWwTwzAMwzBjghEp4oz7zVacu24lvWAJUXPdR2j7zQX29ECNbUcbdV/+oz195JVF\nw7gl4aBGpgT1DTau1KmQkFOqujXLFcO2pXL8ptu/5dqP2vHqBe55pSTiMAwzilDFkbDFkjDWxwIO\nwzAMw4xJSlrEycUj6JnoPNTF0k7eZbYsKG9Mn5SWJ3IRATpvLR+j8z87T5dr5508QUclVANIBPjz\nJDqiiKYdgzTVKE3Ovz34fWf+7AebcfD7jZj9oNUvInpE6lb9HVvs+WJew83vouVZy3i24RbHdLbl\n2RUQQR8Nt7yDlmdX2P8FYvl9Ly4BAMTiTrrMvBt2eMLmT/223nd/J6WKkw26M/qEWypHGwDauiZo\n+z2+O6/PBuCYEp9NlyGbt84t8V+lL+P/lZTnR4lk6spr/n/23jxKjuq++/5WLzOjmZHQaLSMRstI\nGm0gwAoCSTPSycHEsXgfQmIOLw4Rh7CEYxsFEwzhAYJjHhw7hmAWywTZfgmEEBRiXr0idniOiW2i\nkyNmtCAeBSFAK9r30WiZkXqmt/ePnlt969ate293Va/z+5wzZ+ouVV3VXd1d9e3f7/vb6Xgem27Y\n5Tq+/sHs8zFCaIdDaYwAEOMes+mGXY5tjm/oQ/zao45j5pdHhOOO/+IyAEStJIDw0H8ACKPzv7O+\nFSOHcvcHuGTpZR+fc2zjjbmTHX3LPj6HZa3zhfNqPh7avR0xj6TrqT9WC16H/1RhHC343dhlxieO\nscuMpxOayKikQbJt2CCp3Sfa/UTGqtoPOt8cnWdOsTDxT2l/Qe2fsgz3yQdWA8ven493l7yYz645\n0Pl9mPCfe+SfuYx2+PcDMfGaydcPycvcOFBjY1PE9CeefFKfVNtTEISP0XDx1QniPRQED0z4jXaO\nLMXSgYHPSr3l/Rkcs/TGJGMiak+cvqj+MzwaVp+f0UaTzwL1vvJ+N16ofF7SIf366ZD6GzFpYLFl\n4jviFxOvGJ0XjMr3pvasfxOXeL3+Gkf3mpj4luieCxN/n0S9vyshE48iv5g8hm6Ox21KUTHx3Ilo\nzt0gzotiYcVzOznKWsQhgLYnulx9+5905tbKBJxDj3XaRmFMuGGw9mBTyk7NYqINn6bF+ngBRxRo\nTNrR0TFMv/WjPJ+ByiHypQNIDAk3xaTlK5/aUUwtX/nUUwjLF1HAKXeYkMN4aPf2Eu4NQRCmhOfN\nwbJWuERYlSDDj3mlTRUNnTCTayoURdoQBEEQBCGhKkSckW9uwPlbF2Pkm5nIETHVqn7tRrufzeXX\n5eHHxr/YhRP3ddr/Wd/4oXEvvxrGzlcXuMZzRRRsgIyww/eLpQp1pQt5QSdIeAFH5PM3rxwWQk4h\nOLL2MrTe9Im9zMMLODKabthVkH2KX3u0INsVeffyUXakDb+sg827vO5gwfaNIIjgYUIO385l3ZIL\nOQRBEFVK88vd6LmnQzrW+NZG9N0it7pQjREEkR95iziWZU0B8E8AWgCkAPwsnU7/yLKsMQD+FcA0\nAPsAfDWdTvdalmUB+BGA/4FM6Zo70+n0h/52PwsTZ8IDaYdnjrgsW0fsu8g5z4sCzon7OnGuPROb\nJUau8O3U6Dhm37UlECEnH/h0qnLl8zevdFysV1K0h4zEb6baqVNivwjzrOErRolVpXh4PyUeUcA5\n9valaLnhU7vd+84sqZDDypCbeDPJthFdNzFwIafzvwfR9QU+/rjGlSqVLT+e7SsnkpPlpeqTp3oQ\nHtss729qyrZ7ex3tciRx7Li0PzKpVdrvWn//QUTapriWCYLhR4QJTMgJwjRYZWxcqn0iCIIoMKJo\nQwIOQQSPn0icBICH0un0h5ZljQSwxbKsXwO4E8Bv0+n0U5ZlPQrgUQCPAPi/AMwa+lsEYNXQ/0AQ\nxRgZF25a5BJydKjKERa71LcpsnSqcuXzN6/E6JGFssktPibpVDKxRiXg8BxZe5nWE0cUw2TtZCqb\n7CoTcnTbGI8+RNdlvWL4ZUb75jrpMg/vgSO2mScOT7mJNgxRvGF+OI45HkKOY70yF3AYkZbiV14j\nCFNEIYe1ZfMc6/gp1y163ojbMPHE4Ste6bZHEAQRMBOfzd4viGXSCYIoL/IWcdLp9FEAR4eWz1uW\n9SmASQD+CMC1Q9NeA7AOGRHnjwD8UzqdTgPYYFnWaMuyJg5tR/4YYWCgiXdWyiyPBHBhfNb8h29H\nLqRRD+Bic6bNL7P2YGN2m2I6FQDw/qf88rFvdaLl+Ww61cFvuz/gansyj5Xsy0QU1BzKRhbwy+Ee\nvYGcjmSd879sjHnq8OZpbJkZOfGGTjJzp5qTYekyAFgDIemyqk9kZK3a7BQAxtX1Kcf7E2oHOZ2x\ncW/MbUQtwgsfMuqiemNYEwNlHSmN29jFQX/nVk1Efxz1EbXxYIPKMdCQ87ITuwDojF3n9J3wHGNm\nwOkPPrb7wmObnf6SQ8bF4aYmV+RNZqAILnfFIJmDM1wiKV3WGR8DRTI/TuiPRWfEm7fxcYCYGNwG\nYVysI1/TYu12Db1ydHNtvEQSWb9pn+l4rturYEHnwKKsOe7UjQ3ScVm/yXbzWY8wp1bjgBs1cAgd\noXEiDRmYCscbdXP0rqx+zUyDMCUOwlBVt42Q/pIOoXgm20AsNsJ+yI5yhr9RwfyX334okc16aHzL\nmQnRf3P2d/uGNdkf1PtvXuQoXAMAo1Zn783OLc/8YG71qV9TcRsydGa+luY6PzPHwEFcQfSCfyPo\nxrfcAQkmwQxBozv3gniPTPmePBCB3YPrTLlDkvNi3KpunLw3mxZoYn6sw7vgUg4YfPY5pvt/RMCy\nrGkAfgfARgATmDAz9J9pHpMA8AYVh4b6xG19zbKsDyzL+iBxUe2CTxAEQRAEQRAEQRAEMVzwbWxs\nWVYjgDUAHkin0+cy1jfyqZI+l+SUTqd/BuBnAFA/YYo/udMAL4MuL459qxPxoR96pnyvSxqNEyQm\n1alk42w9ftmE9r/MqN97fuhWdPf9TQem/XW3o62qabnrR4vtkuUEUY0kT/UAkFTT0aRNqbbHr8u2\nD8C1TTYWHtvsWNatyx6Dfyx+ruyx8oH3zjFNv0rsdxpRk18OQVQXYrQMRc8QRHXBrCvEIjOMhjXu\nqBwWbQNkonBU7eFO41sbpVE3Mp/XoBCrIBcL1X22n3twPgqnkvEl4liWFUVGwHkjnU7/f0Pdx1ma\nlGVZEwGwXIRDAPgr8skAjvh5/FxpfrnbaM6xb8lPipbnuzzHCoFOrFHN4fu9lgGnWOMl3KjajF0/\nkn9w7PrRYkQmXJCOEcRwI9zUZGxeLBN0eNHFS4DRravaltd8EdHcWBRpEseOO/rEtnSbh4+4RBsy\nPiaIyoBPkQLM06SmbmwgIYcghjG8oAOABBuiqpiwMhtIEXR1aD/VqSwA/wDg03Q6/Rw39AsAdwB4\nauj/v3H991mW9SYyhsZnVX44QdFzT4ct3vDLsjbr84J54jBEBfDgtzsduXteggdBEIQO02gYPhLH\ndF1+PJ+oG50gE5TxMQk4BFH+HFjU74hGBDIRiabCjGqeLnKHiUde29D57xAEkeHEfZ2OirGqwi6F\nhvfEIcwQo3CaXnPe3/be0eEYO3lvh8MbZtyq7HzWx1c6FqNx+DExSoeN8ffF/D0zf6+cbzQNv96E\nlV04fn+nLZgcvz87xo6RHZ/suE99vQNjf5oZP/V157073y+bw/rEx2X7JfpMBSnk+InEWQLgdgDb\nLMtie/hXyIg3P7cs688AHABwy9DY/0amvPhuZEqM36V7gLQFJDkPy3hj5r8YTeJoN1voE8b5djOA\nZF02s0v2IcVMkk7c1+kyTDpxX7bqU1Ri2cMidRJ1QIQLQDn0WKfdzpzsehelwTH+HM/SYXU2mpUM\nwITJgPhFtdHuqT7/F1axhPpU7oupzVB1ZsEAtFWhYGBsXGdgGuwXnQEzACQUBsuqMUZPTP2aDSb1\nHy2t9We1c3ToDJT3xeUlv3neXfKicvybjXd6jllXXw4AjgsfkwpUjmicpPBZwLWTvb3KbamQRegE\nMdcUaSlyZn7MmyAPLUdaJgSSTmVijqyjGObJJqbDlUKhjItzQmdGHdF/rhXjOJINasPrSoE3hG/H\nVsVM/zza8q69vAJL7faKtqV4af96e9k1lxuXtcuJmIEDaFTjvhkzMCCoU7iAjoG6gAQADGr2c2KN\n/ns9PlK9DV0hCgA4qLnOGTjRqN1GSvEwQRidmhgK6152E+NjXR2J8ID+xGDFQPkb/ej57Hq8OazM\nKNYE/jkVn9/Ixew2xVSs+rUbEbmYRiihflH8Gg6XC+mQ+tyO3bjQUZRHlrYmS61qeq3b0TduVTd6\n7ulAKJ7JQuGDGMat6saRhztx5OHMPW3rM1048nCnfU6zNjt/J/+gC4cfzcyd9FR2mRdr2LnMi0Hp\nsDotSgyOYH0ymJAjLrPjYcILO/f4c3DsT7PHzy+z58VKOcUa9jE65pVunL47MzcVzTyuKAKJqIyY\nQwO53Zf7qU61Ht72778nmZ8G8Of5Pl6+tD3RZZSWRBAEkS9MzAEy8mxon/8gQ4fQEw7lLMp4+ePo\n5urmmyBLpzKB0qkIguB5af96W3xRiTBsnAiWZ2fOk/bf9tmhIu8JUQ703bIIjW9tRN8tTpEFkIsJ\nJqj8c9i2CSeiyCX2mXjj8KJNrv6wphx6rNMRscP6ckEUbWSRPYA7CoZHJ6yYHP/puzsw5hW1LYvu\ncYLGt7FxuSMa+5YyPJAgiOqCiTWpaRMd/WIbH/Qi1T4JoT2HAWSjcUzRiTD5rhvEfB2mAk7i2HES\nbAiiAtmzer4jGpH1TcWu0uwQBwk7cr4/Y769/PheeSTVszPn4aHd2x19xxKXAADemDuZhJxhChNy\nGCoBRjbGjI+91ufHxbmEG76MO/9c8tE6Jpj4xgaFKOzkAhNvilFcSIco7Igizqmvdzi+G4M2h656\nEQdwpluNOFnCHSEIoirhI29cAo4HOiGHHxd9b8SKVDJPHNW411yT+SZEWibY4g2/rF2HqlMRREWy\nZ/V8/SQPCmlsXK7pU6Xk+zPmuyoqegk5OrzEnHcvH4VlH59z/GdcuiXz/9MFznyjS7c4b0kiXzpg\nLyd+M9UxNv3Wj/D5m1cq+1SeHYDTcBRQ/5JfbrQ+U9p95yNxZGljMmFG1Vatn2+ET7VS98tN2udE\nlk6lEnXEdKpCCjqydCovykGo0cGnU439abdUyAGA2JjgLUyGhYhDEARRLFypVMkU0NSEFOCIxgHg\nqlKlaospT/maF8vWy2XbpqbF/DyTZYBEG4KoZmSVqEwEHF0qlSnl7IlTLEQBBwDePbIVy1rnu6Ju\nVOQShcOEHMaBgTH4dEHCJdrwfZEvHXAIN2Jbh8yEVWzLTEgrQchpfaZLYiReWSIUUVxyicoJUsDR\nRdyoBJxcKfT7V5ZKxXvilILyFnEsIMXtYaJB7zQW6Q8px5Mav8qJz2ZPKK+TwchoTOOPWHNGvZ8A\ncLFV7YoWGqVwRwJQU6Nef+BMnXYfUtDvp5a4ehvneuu1mzh3SvMrnYGZr5KQ3hAtVKd+4U3MkWs0\nxsZ1BubIcQPjYR2qfU0ZPJfHzo5Ujp+p0Z9bOvPC1ga9QeKpAfV50ahz/ANwuFZvgFhyBPNj0zLl\nFYfOnBYGxsUG2/D9GNCbH+tMcivF4DYQs98AXpOy2AcDc+Thwhfb80uVYkIO384XnQ+OOP7cvm4j\nA+FKpc7yVzhhVCjmaD+5dwuemLHA0Xfvrt2u9qpZMx39zuicUS7BJ54OY+I29+N/igZMrDmLwUsi\n2ANgziUnsoOb6wBk23sAtDSdd22D77swJft87HxpIQDn8xOT/FbB+mrOucdEdObHJubIunuSXK7A\nvQyHwzFpd06ojiWUKI6hsM5QOTSof8KLYX6sMyZORzTjmhd98PprpClmsRsX2q9F/82LHMJN/82L\n0LBmo+M55C+Pz9yerdZ85vYOjH7dLVgwM2MAOPJwpyMajBkZs+VJT2XGvDxxWN+B73Ri6ne7PI+Z\njXuNAVmD8qMPddr38Ecfct6/J2vdzznfJ34tsDZfkUrmiSP2nb67w9O4WKcLAED4YpGMjauRic+6\nS4GRsk0QRLkhpmLlUyacIAiiFOiEm1yEHV1kzXP7iufzUI08uXeLo82LOqKgkw/vXVGYNLqdLy3E\n7BWbHG0R3i+TICqJ2I3u81mk/+ZFnm1xDMiIN7JlALZ4I/Z5aeK8qCODj4rTldzOpSS3KN4A8vt4\nvu/4/Z2OCm6ydChVRSmKxCEIgqhiUu2TAMCRSuWXqozEqWKS23fIBxZeUdwd2bSt+I9JEERZ8PTn\nG7GsdZHLE+fpzzciltbfEjDhZtWsmY4+Fo2Ti+Hxe1c04Lpt/Y52kPDCzewVm1xCTqVWrj38aKfL\nSPzkvaW7kSQIHr7EeKUj87gpJ0jEIQiCKCBMwCGI8Lw59rKdTpWLqBKEAEMCDlFBsHSo4e5lEyRM\nyOHbMp6YscAViRMUooBD5AZ/k1xztjjpTARhAp9OBQRfkamY8OlUQGmjbmSUtYiTtrK5bgAQPeff\nnyWpsCE49JhT3fZKpdLlZWbmqMctA9+Ri5rDbWxUJ7oODKpfXmtA/3yGBtT7mWzU56CG6tV52qmY\nPkc9fEZ9LLpzY7BJvZ+6HFQASA2qJ/X1qT1eAAC1al+GUU0X9JvQ+OaY+OqwOY3X70Xfr2a4xlX9\nAHBozTzl9sfeuNOeM/nm7dL5fVG1J8jOM+OU42x/Tv1ytvd+1AZwkajwwbBqNQntHKF9R4Gw5BxK\nGiTOy9YbrpSDv4pAckc2rSA8Z+gXatl+cn3MayYJc9+ZXOYWlTJ8TQqCyXGSb44xj7a8q5+0Xz1c\nzR43hcRLuNFRbw1Il/l2jWAcKbYbwzEADUP/M/zismZ7rGHIrKOBM+346Ko0rvzQeT06IsJdaP/e\nIUff7BWbsPNVp58PRjj3Y3C087t31l9swK4fZSr6hDRejoC8KhNPyuAOK6W5bNQ9BlAcbx719vX3\nRCZeon4fJ1Wjf810Hxcm93d+SdZqvFtrgq9iJCOsOdaIgT+L1/l77FtDfjUR9TlsBfR0y9KogkKX\nTsXQneMm78NQnDxxfHHosU5E6ccBYhjDBBwvIYcwJzlxDABJxSqiakju2O3yUrOFnHy2x6VdOSJ3\nhvqT23dI+/n5XnPC8+YYrV/JSAW1cqPY0VcEkQcyY2OGWMnqod3b8ezMebhrh0Z1G+IPP+mxhRtZ\n+8oPLXx0VdrRdvDbybZwI2vvfHUBZt+1xdHmyYw7K/YwAYcgCKISIBGHIIYxuYg1jnllLHSOvXFn\ntrFZXyWLIIoFLzAwREHFq+0lwKja2v3xuX65kdyx2yHciO2KhAQcooSI6VTnUrl9p6pEnT/8pEfZ\ndgk3Ir+drGy7InEESinaiKWVRX+etie67L5q8hghCCI4SMQhCCJvJt+c/TVOl2IlWweAQ0Dio4DE\nMTYu62eMvXGny7CxnYQcokxwCApDaTeiUJPT9jzm84KPSpipZMFGRCbYhOfMrA4hhyCIqmHK97pw\n8NvO8si8aCOSi4BT7kasBEEEBxktEARBEARBEARBEARBVABlHYljpYEw5+FoYiykMwlLG3gGaX3y\nDPZDh4nJl6UxOLoYUx9sMqE5EANz5SA8A8MR9cGmDExbU7Vq9yvdfuqMj9MhA2M2jUtdokHvWpXS\nvKZ9UX3USG1Tn3K8qe6idhvj6rLbOAJg9uiTjvYXmo9gz9B/Bt8+UNeE+LVHEV030R6ffO12ux0H\nMLohux9smU/JisUzz+fY63fa5sSNyJoVDyYiaL3+ExxZexkAoPUmbvn6T+xtnzmbLUs6VnKs/93T\nKunNMqHmMuX4d3652nPsiVvvVK7LjPhS0yYifPS0dE56YEDaX2ysSBl8HSSLZJAb1nxgGBjYWrHM\n6xZpm+IwxI+0TQFiA0jXaZwi+cfgll0pV+K+CG3tfA2u0uclMilmz2fQiFE44vMlS79ic1TrysbC\nc2Y6/Icc4+x59kqP2rQtu8zPET1x2LyFV8jHTNYFsGf1fPl+DPHF9l3KcROMjIsJAEDcpLpCAJiU\nEc+VZ2dmonAf2r0dp5ONgW9fRjSs/pyqH6Uu/AEAFwa8vweStSamruo5smvC9r/cgD0/XAzAObbn\nh4vR/pddQ2PZ9aN9+vNCvJ8Q27r7ItM5XoQvGji2FoGLLf7P7chF/b1AeFB9vEmNwfLAKP/v9ciA\nej+j/f5fk8gF/XOhM8QOhf2ZNBsVnfFx7ppidM+uMxgvwKVVGVy1EwRRSlo3jMSRxeft/yz9qH1z\nHfZcE3P894uJ946q2hSDF3bKmXTIsoUcZnLsJeYQlUukbUog25F5ugQ537X+9h2+1q80ZKlVKh8d\nr2XWBiQikMRc2rHMizUMnfgi65dtRwW37p4HwmhfvlUr5BCECaLJMZEfvIDD0/pMF4483OlYbn0m\n66nTc08mfar55W77P+sDgDGvyEskj3ml226PW5WZc/JeSsUiiEqBRByCIPImfm3uVZeYr00hfq/b\n/c+/44iKKIfqWuGjp20BB8iIOSTkEDpyFmQkESa5GBVXu4ADmFWr8prjZ10HLIJG7MsV2XZ08wmC\nqHh4UYe1e+7pQM89HS4Bp/nlbk/hhrWBrHgzblU3CTkEUSGQiEMQRN7w6VQmSNOp+GpSAbD7n3/H\nXm7B2UC3nS9MtGFiDkXlDE+k1am4G38xlUc2n48IMZmvghkf57t+JeLnGAv6/OQaWePjMdqXF/6h\nCIIoDLyA4xde0CEIorIgEYcgCEdKFW/6lEsqleiRY0LQAk65I4vK8SK0L/coJ6J8Ma2QJIo6um0o\n50uicMQ+1frVgColivXlup1c1jNC4V1TiMdg6VREbjw4rQPP7evWTwxoPYKodiLvbfEcS1ynLhGf\nL6NWb5D2n1vuTGerX7sRF25apN1e7TubMXDDNYHsG0HkAok4BEHkRXTdREc6lYmAw5cPb0TG/8ZU\nyDmy9rKy98AxQYzK8SI1bSIJOQRhiKycuK68eL5CTFlE5PgQekjAyR0mxJAgQxSKrOnx8CJosWbU\n6g0uQUZENj5q9QYj0UaEBByiVJCIQxAEAAxF4bhRReF4CTe8F43oSyOmU/FGxqKpMTMw9mpf6NdY\n45cxTMyRVadKTZto/ychhyDMEFPCZJFM4ripIOMndY1PW5PC+9uovG508wzX3bN6Pgk5yAgzDBJm\nypOPrspWyLnyQ3+VbsqBTBUqt1gzXAWc4UrTa9nPm947KKWNyA8ScQiCIMqM0L6jtpBDEIQ5upQw\nVYqaLn0tp7li2hqrTtVQI98xPp3Ka1nWVm1HMTbcK1M9OK0D7x7JClnLWvOPsBGjc7yidZhopJr7\nyPRFePrzjfYyADz9+Ua7n//PxqqVj65KC69R5pytdDGHCTliX1Dw5sbM7JhRqR44fNoVH7kTeW8L\nEtctQOS9LRjFzTeJxsmV+rXZ9xoffcOnU9W+s9mO5mHzxeiepte6hfOahBwiP0jEIQiCKEOYkEPR\nOARBAPAuPU4UFF5oyTelil8n1/V5YUdsi2NEZaATbfhx3shYZmrMV6Pilxlewo2svxSVqWS+ODKh\nRte+0BIFUDgBh4kx4cGU0gdHFG9MvXUIIlfKWsSxkkBtbzaUMhRXTB4iUa9W6AflGSMO0iH9nGJQ\nczqsHB+oVaeS1DdfUI5fGKU/0FBPVDMhrR4HENLMGTP2vHYbZ6INyvHEgPq5qDmjPlYrqf9lx9Ic\najimfz5TmqczFtVMAJC8RL2v9ZFB7TbG1vR5j0W9xxgzR5xQjp9OqF8vANjc06YcP3be4M2q4dip\nS7RzuqLqMuTTa72PdeqP92q3f+Srau8buLOpXAQh5FiRsv64Ly7JpHo8rP7sNcGKGbywPknXadIJ\nE5rjLBLFeC6GBWK6VJkLOk8dW6Ycf7Tl3SLtSenxk64lijReok0sXfjP+Avpwqcw14YSQ0vyz+Ha\nUALj6tTXKftDTfoHiqQ8h+IG18dWSn1RmI7or4+RUl/PJQ2ebt19T3hAvx/pcP7RTckRBvcSce99\niH/5au366Yjl2TZZn5EaOk6ZufGZ2zsQSjr3MzEiM58XhZK1YdQCGByZOT/F5fO3ugWkZK36+U3n\neMlhJQ3OLQ3hQfU2IjH9Y+jundJh//upI95Y+Mi8XF+ffAnrb98c0FU9MeyZ8r0uHHosuJKNk38Q\n7PaI4Uu+aVXJUz3S/kjLhJy3lTh23LGu2DZZP5/HJQhCQpkLN5XCc/u6saxV74nDUqB4/xzWJh+d\nwnLN1qSdQsXaBBEEZ27PPeLIq6pVrpy+uwPLWp1tgsgHEnEIImBIwCEKBS/OhMc2K+eK41YkkrOg\nIs4nQYYgiGrBVIRR+dsQhYWEG6Ic4FO0rBQw8k1/gg4JN0QQkIhDVB2FNIwjiFKRPNXjMnnUCTkq\nvAQZ1s8ibth/fhxwR+bwqIQecT6JQkQ1wlejEk2OK50Di/od7akb9emzlYgq2obKjRPE8MSvgEMQ\nQVHWIo6VAsKxbDtikNep881Jh/S5c6rcTZPHMMEkvy7R4J2vCwBKwURpAAAgAElEQVTRUT59Bi7q\nd6K2R53rerFW/5qkNDm/gwn9aZiKq/ej5mLmMab9tdP1Hcg4v8vM4Bzrc7Y841/sspdP3Odcb/yL\nXThxX6c9hx8f/2IXjj7UiYnPZv4zJj7b5diGMlKnVv+rU1jjMTSYLPzbupF/Y+ZJa8NZ5Xhf3KOK\nS8Do9iOW9t6PByb8Rrv9hxvvVI5bA/ok2PQHH7vO63ePbLWFHJnfTc4eOLwPTDiMyKRWJA4fQWRS\nNu5X1/bsH9q2bL7XNvJG53dTrG34JaL/fC4L352AtlFNvjnJ7Ttc1UeYkBPu17/fPStYFZH/3DNL\n2t++fCv2rJ6PL7bvsvsOLOqvWiHHBCboqPAqZ26yLoN53ojeN0F54Qx6eNAETdRSf76OifQrxwFg\noCaAY1b4daRr1dffAIC4fy+OdFT9ODovFUDviWNyzxK5oL6uVO2HldJ74qQ9rlujAJK1IaW/0MAN\n16D2nc12e/B6p6Ewu6/jvX9Grd6A/pvdZsLxpsxcL6+heNR5nANDHpQn7+3AuFWZ9y2r+DXIebHw\ny8mo+7ni+zSnv9H9YUryGA5M/Gw0nk4mXkqWwdtEub7G28fEq0l3/pv43OrmBOGVWwhvqrIWcQii\n2DCRhm8DbrGGF3JUiIJOsoY8cwhzUuObYA0mkI81XK4RMvkQqPhCEERJaV+eFZ5kJciZgCMydWOD\nHZ1TTWKOLspGFGP8bCcuuUuQGRg/uXeLsl1MVs2aaS/fu2t3yfbDL7Pv2oKdry7QTyQCJ3bjQqN5\nAzdcIxU/REEHgFS84ZFV8JIhVupi7VDcuyJYzz0dCAu/R+Tjv0MQJpCIU2bwwsB4YWzPDxej/S83\n2OlB02/9CJ+/eaVruZBUuwAhRt6o5jAhh/3nxRoV1fz8EcGQGp+prBE60Ztp57ENVapU0CQOHwl8\nmwRBFAcm3ojRQzLBxguZeMOnXfHjLHJnRdtSAMBL+9e71mVj/PiKtqWOuSvaljrKdvNQmlNhWTVr\npkO4EduVBAk4BEFUImVSTJsgCIIgCIIgCIIgCIJQQZE4ZYaYtiOa8pJJr5p9f+Ms3cf6as6Zb8Mk\nTcoU5pHDQ5E4haf1O5kEpCPf9Z+zXgj4vNf0UNQND4vAYYTHNmNZ6/xAjY2DwsvnhiCGK+F5cxzf\nQ9VmbGyC6JMja6sibFRtEZnBMJkOFw5Z1M29u3Zj1ayZuGvH/hLtFUEQxPCCRJwi0/xy9qLCJHWH\nyJ19f6POP219psvT6NjLE8cP5IkD/Hq5O++55WeHcexrk+xlE0b9T6fh5yjOLYYJNq3fSTuWeVSi\nDtsXfv/88Jd/eFdmIew0b0uHLUfb6jljtD0m5PDtUhO4KTFBVAnDQbgRq1QB5p44+XjnvLR/vS3o\nsP+xdJjEmjLh3l27EUtF7farc9rsZVHcWXOpaBgA3PzpCXv53ctH2cvLPnb+Cvfu5aNw5YfAR1dl\nvkev/ND5vf7RVWm04hMAwJG1lwEAWm/6xF5mMC8c0RNn9l1Zn6GdPzHzbCEIgig2ZS/i8M7XOhdr\nAIjonK7P6jPIuO8g7T55zpEYcDW91u3KOT/1dbXgEL7o/HKa9tfdDpEifrpOugwA01dsspd3/cgZ\nwTPrL7Il8g58JysoTP1ul93HlkWvl/BgtuLSwW9nx6Z8r8vRZn0seoj5+fC+Pqwc+M6XFmL2ik3Y\n+ZL8C9NK+ouoiFxUt2vOpl3Lo1/vdvSx84J38T99dwfGv9iF03d3OM/VoeWW57tw7FvZ5yRRn3b8\nF4mOCKD0mQFxhf19TPcGAFBnaSqscJtf+8e/i5v+9b9cU9b+8e9iwT9tBwBs+dN5AOBos0u42h9n\nolIGvtlkLzMSnBlk6/2X2MtTRmeEkciPnW/W1m+6o16OISPeXP6POxz9H9+ZuQmr+/mnkgPMIDOj\nBIDH/ugO/ODfXgMAPPLH9yAUy76uqTrn8xvp8dy8Das0FWmZgOTkcZm+Qyf1K/Kw6lNCFSqGI3qG\nr4wkVElKN9ZL21ZsAIn9B/XbkFVdMqjElN3RMqgcBfivYFVb+gpE5UQQVbB8k8t5mCflUHlKhHnf\n8NFDUzc2YCp2OeYdABxVqcTIGhGx79GWdwEAK7DUXvaC98QBgBj3ncWW+T7TCk/DHb8VqNj1gdd1\nwuDQa/LG3Mm47bNDdj8TdFgfL9isuXS8S8C5blu/ZxvICDWXbokMLSfs5U8XZJb/82CmulrrVz7B\nsbcvBQCELPd1V23DoON/21e3Yf/Pr8BAf+Z9OvuuTZ6eOelQ/o4Us7+WqbYkXpsDmetz1h8yqIAl\nGul6jY95pRun7+5wLWceR70N1X2PSeWeVER9HOHBfMo3CI+hq9gUELp7wLCmwrGselUu6wNA5KJ6\njq7yFKCvkmVyr2tScckPKYOyHjptQHecQEBVpzXvA5P9MJnDU/YiDpEfs1dscnw58F8KbJmVD5/6\n3S6HkMP3RfvdFZb4tky4USEKOHt+uBjJ+hRmc4JToRErS524r9MWbs7c3mGLN/xyvhz7VidanndG\n8+gihfzQ/FgYA8gIFaLgkQ8bbr8Si1//KO/1vQQcICvY8Mu8mPPx2cwdxcA3zY4nvFJdKtxrG7NG\nnpDMzIo6//LVLwEA/uTnznLi//LVL+FfPB6HCTgMUbgJguTkcQgrhBxpdSouaoaVELfbbVMy6/FC\njIbwnJlI7siG1eu2EWmb4hpj6xAEUVp4I2NRwMkHVQqU6boxg3q7XulUROngBZxCwEQbU469fSla\nvvKpLei0fOVT7P/5Fa55sr5qgRdtREa/3k1VlAiiwiARZ5ggU/tViKIOj2kVJhlenj4sEqdYqFLZ\n+C8y8UtN9iUo9vGRN2I7NiZ41br5sexFbs8PkmhtzIQeDwhRJ7mIOhtuz1Q6W/z6R45lBhM2eESR\nQyXgeMELO4zaH/e6jqWYsOPij5n1iWJNMQgfOmlH46TGN7n8cwCPUuJh982QLBWKF1VEgSU8Z6Y4\n3e6zYtmfA1XbINGGICoTVkpcTIWS9YnofG1U8CLNc/u6lX43JN6UD2/MnaydI0bhMN67onSl6tu+\nus33NlikDQDs/Jm7DDZBBEX92o2uvoEbzM+5ml9tlpZqr2TGrep2lYivRkjEKSK9dzhNd3WpVH7I\niCLZlKlcRRyifGj/WzF1KYyeH2Ri7pofyy6L8KINL4IMfLMJeFWew7PjrswNOS/YsGUm5jBkkSmy\n/iAIIqrILzIxp1QwISddQx/hBEEUDybkiH2yebIy4SYwzxuGzvOGCTv8XBJzis+rc9rsCBwxnUom\n6HgJOABc6VPFwp1OtUWzhpvZX9vssk7wI+QwawNAbn/AR3yzHw3FNuBOoWJ9DDEah49EP39r9h5i\n5JsbcP7WxRj5ZuYeo//mRXkeGeGX+rUbceEm9/Nfv3ZjTkJOueF1XISTsr8D4HPMjLxoNHNMtqHD\nJP/TK7+O/4CMXNBvJ9rvzp3k+xoORKTLABzmvbP+wmnm23AohBQ3Xdxf1k6McP4XlwGg9ox8mVF/\nNCRdZu1kDTd+UH5KJuuk3dl9alC/sLp8R6OcXk1GTNLA0iE5Qh2JUxvNCjJTn8wsH3jCGUHR3HgB\nzQ9nHqz/mQGIT83FhGRHn++zhZzU833YcddMR/pRcshPJrzyLOojg9h+fqJyP39/9SacSoxy9QFZ\nkeP3V29Cn+KF69M8YTXhhHIcAHTuEq0j9ClWE2v0c3j+5Oe/sY/xRLJRO//pf31ZOf74tf+3/kFV\nPjDhsH9/Fvj3JDFZn4/WyRudb0kAz0VRKIa3TwAeLyavWVn42VQI4X6NnxjK0zeHZ+rGBq2nDQDA\no1CRKOjIBB5VOpVM1BH7WLsuV5OBPDBJ+QqCOkv9nRhL6y/pa+D9fJj45dSF4nYlKr5CFWvzXjk1\nQ889b3BcYyURyzEg+b0rGlyiTlR4Xfl21EravnhxZD3ysG4iWq7NeNxF101Ecyy7zeZRzuXYiAGM\nvXEnAGDM2PPS/YoNmqdJR0fJP0d5f0oeds069bvOQhhiG3B6L8rEHP4HY/46NhXN/pg89qfd6Lkn\nO6/5ZXebv38Z+eYGu83EHl7ocR+PxiemRn8RHh5UX+eb+LNENQ+j86sBzDxrVERi6uOIGLxBwgPZ\nbUT75e9p3XPOI/PQiVz0f8Os+2g0ed11eHlCsX4jL5qUU7QUszCCuEc0+ZrIVaMoexGHyI9JT3lX\nYCpHJv8guLLelcisf3KrX6J4w9P/TO43w6nn++zl8MqztnDD2jpGvmRmpMvEnGqmENFGBFHJ8N5I\ngDz1jiCI6oAJOXyb564d+23xhl9msOpUfJUqFpVz3bZ+RzpVLlE5V35oDVWtOgogI9bkQt+vZqDx\n+r1oBHDql7NtIadQyCwGWMEPAEaVTFUp/IWC/HPKm/iXr3b1Rf/jA6Nx2VjNr7LpgXzqFUvFYuNi\nWlbtO5sdbTE6iE8FY5E3rK9+7Ub03eKMxml8KztfHGNRZWK0WdNr3ei9Q903+nV34aFKOMdJxKlS\nDj/aiUlPZYURXtA58nAnWp/JjuVa7nrK95ymwPxyLiW5jz7UaVe5OvRY57ARcmSCDQDs+tPRqJ0u\n/8WnEJgIN0R5kpw4ptS7QBA2yR27XaKNrI8giOpBFG5E+LLiYolxrzQqhkq4uW5bP07Fs1GwYonx\nKz+08Om5Fum6MlGn71czXO1YPHN7dOqXs5X7KePQmnkO64TP37zSe7IBw+XamMid+Jev1oozQEag\n4cdUbX5ZJs6IHjp8W1wWRZvad7J9te9sdqRMsRSqCzctcqVTMfGGF24a38qKPGLlteECiThlzOFH\n3eIK3+e1zFBF4hx5uNORTsWQCTp89SmxEpWYPqUyDJYZIh99qBPJ8o4cN2bK/z5tNG/Xn44u8J4Q\n1U746GkScoiCw1cS8zKkTuw/6Gl4TUIOQRDDkUNr5iEe959mN/kHzvQpEnQIEVGMEft065jMVxGU\nKbLKA0eMulFx+u4Oh5DTe0eHI/JGFplTqZCIQ5QMsXR5OdD8f7IGuj2/o66INL7bbbZ78H+ob6xj\nYwMwZSIIZIWc5MQxylLjBJEPif0HXeHFQG7VxWTROV7jTPBhc3JZVxzPZcw1Pm+O+0AIgiBKDAk4\nhA5ZNE0Q8OlUuSCmU/mFT6cKkjO3OwsPVUIqFVDuIk7av4GUa5MBmBMFYY5sgonxsQqdiZIsEkdE\nZwjlx+T5+P3ZdCogE5UT1ns+euyH2owsUa8eT9YCE9edxtFrsyLMxHXOyJpDy7Jjk9897WgDZs+n\n7jWpq9E4MANIptXH0hfXhzb1nfdnRHohoX4MqbmyQKQIbyQTY+PzGtds1fjOmD7ffmqtvBIYw8gQ\nuE/zYSApH06UlnRCbUKqt080oExed535cbqu1ijlim97Levm5jImbW/f4R09FIBRtAkq8+NimR4b\nGRf7JAhD4GIYFwexD7pjjRp8H8Y1F1w64+PMfpT+sr/OUl/oNRnsYmM45ns/9ke8f3TrielLnJ8P\nqe9Pzukqchhw8NudtoUBWxZPJbFGhNgeHGVpl4GMefHx+zM/rB6/vxMTVmavz0WfEdl9kokpsBe5\nmPB64WXw68T/Z04qrD7OENTH4mXEa69v8FxYicycyHtbkLhugXw7ghG02NbN5e+rxMfg54umyHw7\nqApZXulUQPYe06tAD9MRIpzxdURigs0bc4vag8m5rSugY3BblPP7oPSf5sSw5vj9nVrRrFC0/lad\n/sQLOkBWuJEJOARRSlLNmUphoZ5zJd4TYrjDp2AB/iJ38oVSuAiCKGf2//yKzMIB95hoduxlacCW\nQ5x2J1orHH600/4xVvTG5GHijVdftC97cykKOpUStUBkCa/7EMlrr8prXZVwpIP3xBHJpax4rhE5\n529djJFvbrCXqwUScYiKZuo7Zj40Mo78XlaIMfkxjwQcolwh8YYImkjbFEd4sakYw88TBR0xJSoX\nVOvyaVisHdTjEgRBEEQ5krhuASLvbXH1iwJN8tqrEF73oee4avsAHI9hKuDEv3y1sjrVwA3XSKtT\nMfjqVOw/H5HDCzlnbu9wlAgfLpCIQ5Q9k37tLdQcuCEjqCTq1SFodacDSV4gAYcoG8jYmCg0uUTR\nmOAnQka3ripFiiJzCIIgiGpEJqqIKU6At3AjE3xMHgPQGyTr0qm8Im+8+vl0KtHseDhGhJW1iGOl\nnflhZn426pt1k9Qd3TZMctZ0+2piB+I3RzSpyds02oYmpTdikJasyxNU5Ye2/NdpHPvdMZ6vG3t8\n3WsW16Q3m0TiWAHYM6VGqF/40SP0T2g8qc7p7R/Un+QDg95v/YF+vefCzpj6MZIJfd5xOKJ+0keP\nvKjdRjSs3sbu8+O02xhX16cc71f4/wwm9R+hAyPVc3Y+0agcB4DZTzrbqZHZN2bofKxoXh0675Ph\nhM7zxu/6VqSsv55tIm1TkNh/0CX4yPpE/FSv0nnm5PWY7H1UpPdTOfPUsWXK8SA8c4LwkqkWdH43\n5UJMcxE9WKTXK6o5d2pD+s/nhoi3N89Za0TO+ySSSumvwSP96tfd5NpUY5No5L+muydR7UcQp67J\nPZHuuVB5vjAiGv/MVER/MH7vzXTePczvRjlHItI4t+HfczJdU/j3ckhzrKmI/uzVeedaybSybULI\n4BxPas6tIM5xkcr41iAIgiAIgiAIgiAIghjmVMZPfcSwo+W/MilUx36XUkYIgsFH4ABDUTgEUWJY\nNI7YxyP61rA+E3TrqjxxdH45rnEqMU4QBEEQVYGsslW1QCIOUXYwAYcgiCwk4JSOxLHj0v7w2OYi\n70n5YuKfoxJtZOKK6bq5bttznNKoCIIgCKJqqEbxhkEiDlFWMA8cgiAyzHwu4fbAyRMvn5LE/oMF\nM3818UapBCItExztdCKB5KkeEnIIgiAIgiCIolLWIk7achrW+jWTMkVr8OXfL8rICMzv4+gMha1a\n/TbCRfixn5lMTXi/F8eXNMlNp7Rm0/72wcADDxGNz66JabY14N+GalSt+kUZEdE/GeGQ93spOqo/\n530S0ZkvA0BTnfoJNTkOHefj+pN8z9mxyvGkwjWwLqI/cXadH68c/+E1/6/n2E/+5CuO9pS//1w6\n78A3Z2j3I3w283yn6wze+JVMOIBoiqTeXY4ZD3sZEPs1PvaCjwoShaWCUC3RKRV0HMkGvbm8ij0P\nFP5YdcbHQDDmxzp0xscm5smF3odiEUvrL+kH4b2vOtNiADiX8m/4Wwx0xsdBkNQYF8cv6p/PEf4v\ncwJBd3+luh8Jwtg4bGBKHI6pX9NvvbzaXn7juLxS0fG/Vl8rRWJ6I91kjXpOtF99LCYGzDp0xsXj\nnt6v3cbJR9p870ehMbsPzv/cDXY/NNsowEdSWYs4xPCBCTgEMZz56c1/gHSN+2PZS7xxsWlbdnnh\nFQHtFWEKL7CIETosakf3n9+WKNIkjh3Hu0e22u1lrfOLI+QQBEEQRAXgJeAQRLVBIg5RckjAIYYr\nsYfG4Sfgom0kP8B/41/exjunv6De0JB447zBhy8hx8sMlqVHMSNblirFG9t6pWyJY2KqlVeb7+e3\nU06pWqLokjh23FPI8WoTBEEQBJE/t03oJiFnmMJMjIHq9sJhkIhDlITxL3bZyykA4z7Kjp28N/cP\n38k/6MKhxzoD2DM9/L7zHPuW+ePP+osN2PWjxUHtElFhxB4apxz/xr+8XbDHFqv8eM3hhRux7SWq\nyMZl83MRXrzWFashFRqZuXGuUTCiYMO3xagcirAhiPJlRdtSR/u5fd0l2hOikph91xZp/8FvF+f6\ntRwY+eYGnL9Vff1b+85mDNxwjWs5vO5DJK+9yp4XXvchADj68iHy3hYkrlvgaxtEaWl8a6Prh8xq\nF3JIxCkiTa91o/cOtUDB5jS91o1TX69OJbnlv04DV84FkCkhPv7FrryEm1Jy4j73F27L813GQo6p\ngBP50gEkfjM1p30jyhtRwCmkYCNDZmCca+lnUYTRiTJ+omW81pWVtS4kJqKKVxWrIPdhWet8R5sg\niOKyom0pXtq/3m7H0mE8OK3Dl5DzyPRFePrzjfqJRMUy+64t2PmqUygYsSfjUTfle10k5AxR+85m\nR5sJOCKioMPwisK5bUI3noPeP5AgKoWyFnGstNNsy8RYyEqpDY6iF/Tb0JnkmnjYee2r2TEAZ27v\n0Jog6belfi4iF/QGXrpjVe3jhJXZiJXj93di4rpM6fCj17qrT6XD6n0xMYSyfPhe15zTrxzhzp2a\ns/L5Xv2M2h61A5xo5huX9E1t6FVuY0xUb0w80qdjtc4AcWz0vHYbOuPBuMEbrS9Zpxz/593yL3/H\n48TVj1NbozCoVT88ACD66Cj54z51DgCwd0BtfAwAfzbuv5TjTyy8E8BQChVDTKVixq5eBq9Cf3L7\nDuW4i0TSu82Wi2Eua/IY4r6KyMyRxT6J+bFOVPEyQZbhZYycU/qVgUFzIEbQGqzYgHaOb8PtCjIu\nJioXUcBhPLevWynkxA3cX02MiYcDJt/9A5prkOOD8u9dnpOxRs+xiwm9KXFCKODQ8pVP7eVjb1+q\nXT8odNe+JoU7/Jiuhg2KzsiMk/k+3TiQNfPlTX11Br+ubQ56H2hoMIlQjf59qjOB1hkX57rPMkyM\ni4tBOqS+d9ON60yiU5qiNjrSYUurCwAGBY1kBXdc29DcxwZgjiwSgKc4wTPmlW6MeaUbo193f5Gf\nub1D2g8Ao1/PrHPm9sqKSJExYWUXJqzswrtHttp/TNCRCTgyxr/Y5Upb4kUhtsz38Ux6yt0/6aku\n+081d+xPgwmLZucC++OZ+t0u1/LU73Yhfu1Ru58t831E+TPy2/WOPxlMwAmchVdk/3yQ3L4D4Xlz\n7D8id/KJypEZHBNEIWlfvlX6d2CR/yqF+SKmKjEenFbe10e8gPPgtA57f/n9fmT6IvuP7wOAJ2Y4\nozSemLHA8SeO8XOI0tLylU8d17y8oGMCH4Uz5Xtd9v/JP8heK07+gbPNUF3TsuWW593/2bJI88vd\n9l+h6L95ERrWuCPPov/xAeJfvtrVJxJav9XxHwBWzpyLlTPnomdJL3qWOH/s7FnSizeOdzjmh9Zv\ndbQrGXbM4nEPJ87fuhjLWufbf7qUvWqAZP8AGfNKtysfL19RZvTr3ei5J7su/2HK9495pRun7+5w\niASn786Oj/1pJi2LCRNiipYYLVNITAUcUyas7JLu86SnunD40U5ln2xOkLDXRezr+478Mad+twsH\nvtOJ9us+R/zao4ium4jouon2MlEZFF20KQKuiJwyodieODoiLROKX/6bIAJgz+r5rr4vtu/CgUX9\nmLqxoej789L+9a6IF7/pSqWC7Xc8HXKlTLH2059vxCPTF+HJvVm/lCdmLHC0ZX18WzafKC92vrrA\n5YnjlULF0qusJGzhhvk+5uoBKab6820m5LD7iuaX3fcefLtcSC2dj9D6rUgtzXx2hdZvRfP7zgIp\nPUt6HX09S3od8/nlSqZnSa+raqX4XAwXhoNww0MiTpFh0Ti8uKOLwNF9qIqCgdhmQo64LIogXqJI\nuWIq4Og4/GgnJj3VZYtdJl5EsogqUbTJhQMe4g5RmZz/Xjb3ri5iEMtcZoTnzbHFG345XxKHj9jL\nvMdNrr42YlWsYgk5kUmt+klQCzfiGEXbEMWgfXn24l4m1hD+0BkcF1J4ItGm8hA9cWbflRFRRDFH\nbKtEG3YNy//nEb0aVd6NxRRsWDRO/82L7GgbMQonF26bkHmveXniNL/fhJOPuPuZIEQQlQaJOFWA\nTjzwEiUKJdiw7fL+HMUQh2QpVLmM50I1pL1VIr+4rBl/+ElPUR+z5SufGuW3sygca7B8RRuv1ChZ\nP9/HL5uYGvOih0MAkfiWqEyPpdsuk5LiBFHutC/f6ooO9iPk8ClWfIQOH7HD5vDjLKqGCR4yTxkR\nNl/lNcOnKYnjbJ1cHjMfXtq/HrEhD5dyT/ciCsexty91XPMee/tSwCCzhYk15WRsXMg0qkJCZcWz\nvDD13+3lBw78gXTsNvx5UfeJCB4ScQLk9N0djg9xrxt9PhrH1AenUB+qXp4yQcCEG2ZoXGjYrw9e\n0TiFTJ8iCg8TcEoh5Ojg06jO/d1gCfekusm1PHklkTyVOacpQocoR8TUKlkbgFPM4bw3+fQoL3Pg\nXBCFHZnQ8+C0jkAfkyBU6H7skVWnKjdkkf9EedP8fpOjauXrB993jPOCDuAWdUpF3S83of9mdwlw\nFp1F6CERJ2BYVIyuwlWuFCLEUZZONVwQhZ5cUqkIwgsWhdN4/V67j0rEB4eYQlVNgg6JN0Sp4FOu\nGAeAnPxwdHPzEVD4aBwRkzSlQqQyyfx6gMr17CGqA69UKj8UQ8BhKVV+0qhMuW1CN15AW8Efp9i8\nMPXfgaHLogcO/EHZiDQq6n65CbEbF2oFG1Up+lLT+NZG9N1SWrGprEWccCyJUTvOlno3HPT8TjBm\nUblE4YgUwmgsVwGn9bfy6BrRvHjiutN5GRqfuC/zRSRWqDJB9mXG+vh2IRHNpllfPpC5sRnvXdGA\n67b1470rMjcT121zVldpvekTAMCRtZeh9aZPcGTtZY7xtq9us5f3/9y7uhNfdaLvVzMcY+f+bhCN\n1+91pTCQkBMc1STcEEQh2bN6viM62CuVysvYWKSUFatklCp9iU8NY5gIOMzAmG/z8ObET+7d4qo6\nRR44lY3M2JhRLqlUPfd02OINv1zupJbOR88Spxgtmvvy6VbV4INTrhE2RPGgEuMEQRAEQRAEQRAE\nQRAVQFlH4iTrwjg35xK7baUC2GatpZ8T9Z7T/H+cTmWnri58GTdRDQ8qCuf4/Z12BA6/rKP1t6dx\n5Pcy0TVW0jkm87/RReOwqBvVWFqQG0WjZDGyppCeOKbRU6rIG74alViZio+6oQicDLwPDvPFAdzR\nNiwahy1jbaafj7xhETk8bV/d5oi+EdsM0eS45fqhqJyrL7CmoqYAACAASURBVM/zyAiCIApHkBWp\nSlFu3AuZJ04x4dOpmLExj1dkjhh9w5BF2agib8QxitKpDERPnBF7al1zdJWpcikvfvjRToQHsm2v\nSlXR82m7j7/HKISVg5g+03/zItScd95M8OlV/DIrCy4uA+7IGyBbsQq7M//4dCpx/Urihan/XvWR\nNw1rMp+VspSqkW9usJf5MTaXjbMxti3Aff7xYxduyo7Vr92ICzctQv3azDifOtX41kb7fylTqspa\nxAGcwo2JiBNKpPWTdNuIe2/j3JxLkA5nRZ6xH6jt589cPtp7W8sXI5SUP9a55Ysdvjq9d2Q/SFl/\nsk5eeYr1paKWSyDh26F4Gifv7XAsu45d8PaZ8H4vji9pQjiWmZeodwpeh3/fLdaIAkw+6F77xAj1\n+OBo9QbSVmYnY2MUIp8mKyw2Xn+C1k9TpwfOH31Iu42ptWpT3/GRc9ptjAn3aef4oTl0UTsnrjkx\nTiQb+S1iVs0xRxsAGsMxrq9BMDyW33CwdCpGKmU5/ov9AJBKW/a6GHqLTPp+COK7N550X8wXg6k/\n3qudc+CbM7RzdIQTSc8xKzbgOVZ2SKpkOVAcp03Y52ud8F/FLK3ZhhUx+IpPao5V91xVEcmGmlLv\nQiC0v6B+Tfc84P81FY2NZTx1bNnQUj+3nG0/2vKu7/0A1AIOL7DIxJYg0H2XmTCI4rzPYqmo59iF\ntFtQyJW4wXM8oNgH022cijcqx3ecHa/dxvkB7+NNpvQ/+OqIjjAxx1Q/5yGDrwl+TljyNRy5oL8v\nkq3n2EbM+/rWZB8jF9XXx+EL+o088I9vOtq6alS2gMMx7un9kpnZuc/fs1y7H+mQ+tywUu7nO7zu\nQ3v59YPvY/OA0wOPPxYxTer2KUtw/+7PcM3QtT/ve9OzpFcqXsm4bUK353MWWr/VJWqlI9njjP7H\nB7aYxi/X/GozYjcu9HzMZI37ueJ9cM4tX4xRqzfg3HKnSJOstewx8QfxMa90O/rGvNLtuEce+eYG\nu930WuZ15YUb/vHZMju/69duxMAN19hzWTsdstD41kb7WGM3LrR9fSJD98NWSnOfafA1kVIEkcgo\nexGn3Dl7mVykYS/W6I/PAFCLOZXAhPczYtXxJYWPPCo2s/4io9jm8usGUTyenTnP8Z+nFJWqmADE\nf02ffjJ7BdT7ziyHDwX54RAEUelM3djgWWK8FLDS4+IykT+rZs20l+/dtTvQbbPo2UJ8X390VRpX\nfuhfdKlUWp7PRNGLUTbVTD4CTqlKkIfXfYjktVfZ7dunAPfv/sxzn/gIGyboXFPbk3fkDf9c8Mu5\nmDwXw3jaFJ2/KC/oAO7Im1zgBZ1yhEScAsPEGybm8H2VAou+qVZ2/WgxRhwje6hy5qHd26X9MmGn\nkLTe9AksLnUq/cHH0nm978yyl0eigiJUCIIYVuSSbuUl3Mj6+T5xPBcBSGUYzI+J83RtwsmzM+c5\nhJtVs2b6EnJK8QPLcGW4iDdM8LhtQrcyqkS1rgyZ4BMUooADZASclTPnovn9Js/HZvubEW56qyZ1\niqUu8SlMAKTROCrEwjHDFRJxigQv3FSyoEMQxeTZmfM8BRwg64+Ty8WizBPHBDF9ykvAIQiCIIhy\n4PsznCKd7PuUfc/y6VT37trtW8ghiCBhws0bxzuMhBfdvEKKNyreON6B5vedfStnzrWXvdKjepb0\nKsdvm9Dt2A6L9vF6HCx1DduE1m9Fkou+4VOo/MJHxjCf2lGrN3hNdyFLpxqulLWIkw4B8fpshERN\nn39nYxNfHd2clMsJw00y6h3ZcfoLTWApwcxTR2aQrMuf041bHn479rjBczG+uxcnFzY5/HlyRedX\nk4oaPJ8j1HOSo9X5tK2T5SXRGfGZ+hzspjq1z8ulo48pxwFg1ojjyvEr6g5qt6Hzm3nh+Je02/jP\nPbO0c1ToPBeC4KW3VmUeK+rtO3U62QigGc3hPu4/oxk1kcx5ceqXs9F64yf28tgbd9pjfWdGZEp/\n3po1htz56gKAe5onfT/zZrOuvtwWb/b//ApHWXIvmuvUZXlrDd5c51J1yvEHJvxGu426t9SvmdOz\nQs7huyd7jqXr9H4KFeObUwQfGCup/vrV+d2YYLINI9+cIqA6N0zOLR3V4ndTSQTleaMiCD8av8TS\nub2H+NLhzJBY5VVjiuhps2rWTLx7xFlGeVnrfNy1w+0Lcjrp9pi5a8d+136tuTTrNcP/eMJ+TGFp\nU6xv2cdOj76BVBTnk5nvs64vZN+Tnf89aC93faEGl26J4NMFmc+vS7e4n1821rphJIDzODXo3P9T\nffpor4FB79ctHNZfIIdC6uvS+EX9axrVXEqZ+M0wj0rvcYNtKLxAAdi+HzJUPqLZfVAfqMyrho+2\nEQWXjBihFjVknHwkm0IkSydKSzxccsVKpJRtkZUz5+L+3Z/ZxyrzueH7epb02v41IfTax7Ryfa/D\n12blUHakPVfwvZH54PD9ovcP3+aXUxHv54z3eJEZFLNCQr13dKDptay3DV9gKCn5+md941Z1Dz0O\n/5jOubJ7XdFvlz+HZcvsa0Y81/m2zAspV5I1uX2flcfV2zCGiTeiQXIxql6Vmmlvn8a+r2jcgolh\nDV8BxAt2QSpemN61Yz+e2Tnbbp/65WyoEKtGMPb//ApM+7vMh/O+/2kByFat4tOmCIIgCELFEzMW\nOISVZa0LKqay1Ktz2qTCDd9mos27l49yCTg8XV+ocQk3fPvTBQlbvOGXWTsj3gBHFp/3eVREueIV\nSdOzpFd4D813iR5MECmVD44O2XGxvpWY6xrLRagyRSXglBPjVnXbRXgA4OS9HbZ4wy/nA199Csjd\n+6fmV5sxeH3pfHNIxCkTRNGGiTonF1a2mDPp126hZtrbpx3Le2+p7GMkyp+xN+7UijgEUS0kT2Vv\nrMJjmxUzy4fEfncUYqRtSgn2hGPTNmDhFeplgiAAZCJzdJWnGLxgI0MWfSOjdcNIEnKqFC+hQyZy\nyOZVkoCjmsMfr+74Q+u3eo6lls53jItijWrdIBCjcERYFA5vTMyLNzx8f8898mXWHtHjDMXhy4iz\ndrTfHSkmCjqiWFNK8YZBIk6ZcurqJqRDwLhN2QidUgs64r6M29QrLSnOmPTrjFjDIm548QaA3Tfj\nrV4ScoiCwlKo+LYJc/4+m+KRicIhiPImearH9StlpQg5omiT2H+wtEIOCTVEBXPvrt1Y1uq8UZOl\nUpUKPp2KIIKkXAUcBkuhMsXUv0cXRaNKp/JKuyLKl2En4oQS+pw1VX4fAKTD+ps5WQ6fY7xOvw0r\nmXZUhRLLfOs8bSxNrq2JJ86pqzNijRgpxPom/fo0jl47BhPXeXvOfH7zGFd7+prTDlFnxlu9+Oy+\nkZ7biI7y9kto/1vnLzonvu8+sC9PVH9YjjRIGh4b8Q4NBoCWyFntNsY7PFvc/P2J67Tb0GHid6Py\ntAn3q38hKxYrbrlXO+fpf31ZOd5Qk/Wbufju9Gw/sv2JpguKLWS8UU4/OYBRktHxDerXEwBaR+jP\nCx0yvwKeOgNfnVGW2o/GxFfnwYaveY6ZnDc6b5OK8cwJgrDad6dsJMOEf/+rxOEjjnZkUqvRepG2\nKcZCju7cMjk/yTfHnCD8bmLpwntPBUGunjcqnty7Bcta3Z44op+NdD/y8M0RRZtBj+dc1v/G3Mm4\n7bNDjj4x0oZv8343ABzLfF9fstZVFvyjq9Losy+c9dfpI8JxZbuxTv9dEgn7+2wbTGjOi6T+U1zn\neWPiR6mbo/O7AfQemsp1DbxAdL4wuXD/7s8c4mSQqUZB+JrwsOgXp1dNbgJOPqQjIYTXfQgAdnUs\nWaWsdCSkXdahuq9OaT86C3+lo98HIFmrPl6T80L0EBIx8Y4y0Sh4hp2IU8kw8YaJOQBwoqOwESws\nrUvl2TNxXUbI4ds809ectoUcUdDhmfvieaWQ48Wev6rByIaMCDP+8RDGPx6SCjkEQRBEcUkcPiIx\nVzUXclzbE9KueIEnuWM3wnNmIrkjU1EnPGemY25y+w5HOzxvjt3PlgFk06VySZvaxJmcUwQPoaDc\nPHBu++yQS7CRCTiF4qOrgr1xJqoDmScOi7ARqzuZcNuEbqmZcaER05hEAYeVHPcaB+Aaf+FOd6SM\n+DiiYJO89ipb2JGNi/OSZZAuRKghEacC4SNxxnd7V+4JAi+DZVHU4YUbmaDDCznT18ijdj67byTm\nvnjeXs6XE99PkZBD+Gbi9zK/TFqD/qsEEUSxiLRMcPxKWSmpVCbIonLEPibkuJZFocajLy9EsYc8\nc4gKgwk5fFs3R2VcDLjNinmu/NCyxRt+2YRM5SqDkksVROszXTjycKerf/yLXThxn7s/KFhp575b\nFmlmAnW/3ITYjQsLti8iXgJOENsqNs70JLdIo4rMUY2JaU+s7RVJoxJuVG3e/4VfLub5QLghEafC\nUUXiBJFO5QUTd+KN7vAxr9QqL/GGwQQccVnGnr+qcaRRnfh+JgoHgC3gsDaJOUQuMPGG0fODwpdT\nJ4ggibRMABBMmfJywiStSoy+Uc4dEnDC8+ZkonRyjb4hiCrCJPLGS7gR+0XxRibm8OlU/LJoaiwz\nOW7f7E7VqnS8hJxCcm55xmzWJNWDIIjygkQcInD4SBwAiEl+CFZF44jIBJ32vx3Enr+qsZd54YYX\ncBgbbr/StY3Fr3/keQxEdVP/eEN2WTHv6LeT0DsVEAThRWRSK5a1uvvyRVbFygRbqBH6AoNPpyII\nghhi9j0f2Ms7X/YuYXzk4c6SCDmVAIvCybXqVKkjcAiikJS1iGOlgOiFbBRFroY/MuINerOmRK3a\nnMjEW05nXJw28IzSRtKUQYCAzsAZAAZHuyNhdvzZaHu5ZmK/vTz3e+oInP5nsmZ1LRgY6gMuH3MU\n0wHgH4DpAD7HNHve+MdD+Pqaf8dPb/4Du09sMx57+03Px9YZw440cKBb9v59ynGV4bAp7dBvI3z2\noudYEOayOpNRAEBEbWq55wH/ppeLxu1z9W372jyjdWes2o0ZAGp0zoM+OTo4WjvnlKVOLzwS13tj\nNWrMu0eFvM8JxktvrfIcW3HLvd43skORDTpzWdl5w6fEmJDL+cun4ngt57KvQWJ0HBrTYUtjngwA\nSGo+L3TjBrDIIO02BzzOj6HjTBw+4hKAEoePAImk/XyJzxtrp+tqpR45fF+4fxBJZM9TcVkJRe/k\nTJ3BRYzO/DiqCSmOay62gjQt9oOJabGXKXFg+5DWG3ufTjQoxwdMXEQ1RA3Oi6YaVUECYPZo/fN5\nMuZdMODcgD7SR2tsnLIw+2ubhWqBwM6fZdNR+MsLtixecvBRMmN/mhUlTn09I2awt8CYV7px+u4O\njHklM+f03VmxY9TqDXbUDd+WpVM1vrXRXmb9zNjVSqVR+85mAMDADZnjsAK4NxPxK77IxJ5iVazK\nxRS4lOiMeI0Mq3UFdlLqx9CZbqfieuNj3UdnvF7/elgp9YHojgMIRqPINSKuPL69CGKIz78tfzeO\nvyRTBajhYfeNEy/sMKb/wz5HWxRschVwiMrj0Vv+TDl+xc+2AwD6TZRIQo8qDcVHikouAk6ulLR8\ntYLkjt2e+1aostuJY8fdYkuJ0e2TWPVKhU4MDM+ZWTiPHIIgCAOOfasTLc934di33NE4Y3/abQs3\nrA04xRpRyMmVxrc2ugQdvl37zmZbvOGXCw0TZfxE4ZTK2JggCkVlyIUEQRAEQRAEQRAEQRDDHIrE\nISoKWdRNw8O1jvQpGV9f8+/K8THhPj+7RZQZplE4hDmvzmnDq0O/Yr20f32J96b6KVTETTmTOHbc\n0RajcCKTWh3RN2JbBV96nO8LBGaIzLcJgiCKDIvKYdE4p+/ucKRO8f9NEKtWFSvyRsRvKlSxUqlM\n4PeFPHsIP5CIQ1Q8/c8M4PIxR0u9G0QZIIo3JNYEw6tz2oS8/qW5CTncTS1LWWEms3z6iqw8tFcf\n4L4JZ/2it40oiHj1q+ANdYshruS6f5WOaSqX6InDt8XnSmzrRBsxlYpvh+fNyfriyEQaEm4IghDY\n+bNrHMbuvB+OF6qUqmqHFzXyFV74bVxT25P5PzXzQ+5t+HMfexcM+Qo3bxzvINGHcFDWIo6VSKO2\nNzdT0eQIdYbYwCV6c6JEvcbY2OBZ05s96beR1hgpJTRmTiYGzH5JjNDPSTeoX0Pmd6NCZlDLM2vE\nceX4tEiPcrxYpsQ602Gd8SsAvZlpAIaoxSDZoDZRfHfJi9ptnEyOwP/66h1If/DxUM/H9ph19eXa\n88KEeDqMX1zWjD/8xH0OnYpnDIe7vlAjLaHKxlTlUHdevES7Dw0R9XkxIqw/fxvC6vNiYs1Z7TZ4\nzgsfMHtWz0f78q2uPp72FzKvuV3OGUBS8A+xBRr+hpozwU7u2G2P8R4m9nIiiQQXccEMiEUjYlm/\n17Lop5Lg9qFQeO033yfulyh4MSGIIYoabMwWQjgjZEfES6m9ckzMlTVG6cOJIEzhg0BnShwElWJc\nPAj1c2FiWqwzHo4bbGNAcWFosv7puNrY+GJSf+Gp+77SfVeZcElUb9TfO+BdmzKmMy0GcKFf7adn\nXcw8n7t+tJjrc87hLz3Fy1CDy1IAzkIp4tuBtRNDxVbE/4xEXUi6zOCLzBQCmTiRayUqESbgPHAg\n64E57un9ysd/4c5btdvVGRdbicI+VwDwwD+qPTxNjgM6A2aT2++o/p7aD6bvARU682TArNiQX0yM\nolM5Pp/l8e1GEARhyJ/f/A1pv3X15QCA//Xz1wAAT8wo2i55CjjDDZdoMyTqiP2qqAWdOGIinvBC\nBmvLInvKHVXUkQleEUiO5UTSlZLkqAKVTJal6fGwJA/z8PblW93vPwMOLOrH1I3yG/YDi/oB+b1Q\nYDw4zXnz9ty+bte42EcQ1cKJ+zox/sUuX9vouacDzS93S1OsTBn9ejfO3F4+qUimXFPb4xBvCKIa\nIRGHIIiyZkXbUnuZCTUymHjDeHLvFjwxYwFu/vREwfZtuLDs43NY1pq9EXz6842K2VnYzWO+N5Ll\nhOinUgmYpmLJvGaICoF58TBfnjzSujzFVg+8xJ2gkAk0JNoQww1RyDn19Q55ifEAA6vP3N6B0a93\nO9rFhEXesMgY9l8XkWOaZlTJ6UgsMsnrGKop3WrU6g2eY713VJ6oWChIxCEIomxZ0bZU8GLJCDl/\nv+YnADLpVADwxIwF2m2tuXS8Q9BZc+l4ALD72LjYL0NMr+LTqdiyV4rVnmtiyvSqcmXZx+dwXcOn\nnuPVINSoKFX0jugHVCxyKd9NFIkchZpKe0+y6BuZWPPcvm4Scoiq5cR9cv8bvqS4rM3Tc497rOee\nDod9gxiFw9p82oqXcCOaGhfT5Fgl5rAxlj4FQBqFUw0Ch07IqSbOLV+MpCS9qOm1bhJyhihrESeU\nSKHmdDaBND7a/41PstbAE0fzMCZp3jplPGSQa6jL0dP50cQmqHciXavP22Q5vZ7bGKH/CWDU2H7l\neEvDOe02dH4d4yPqbeg8b3R+N4CZ540OreeNgVeN1vOmGH43BfafsFLpobSpj11jTMABgDorIV3m\nyZ4b44XzZLxrfM2l43HvrkzExapZM3Hvrt2IpaIAmtE8VMHs1TltuGuHmEvQjLHR8/Zy1xdqOJGn\nGWOimffA5vlhXLM1CSD7njg1oP9VW5W7DwC92i0ATbUXlOMmfgifRVuU4/+8+B+k/U9gAf558T9g\n3FsXM5FVm7bZxsgr2pbipbdW2cs7H3d+sLUvh93XvtztpcS3kw01CPcP2qbJAOxzlZkpu9Kx+HPZ\na1loS7eTIzpPKOl7jPUZ7me60X3e8H3pxnrH5wUb4wUjq+9CRtAJK84PE8+aQhOAV5jMf4jHxLNM\n+7oaoPK0aV/uHG9fnl2HjX2xfRcA4ABgLwNDaVBDsGgavq99+dZsP4BHW961x1a0LXW8Z2P7MvvA\nhBU+/UkWReM1poP3vHn6842Odjwdsj1vRCH/yb1bAGS8aL4/Yz4e37sV35+REbQe3+v07tJRo/Gy\nKxa6z+i+pP4aOabwxOlLqs9/QP99dSGhP//jSfVxRMP657te4xNnsh+9Me+L6DPn9YaPqXNq/5/a\nM3qjDd11volHRlr/smkJaXxDavq8d1S3LgCkU/mZjqycOdfRbn7fOf7C1Gzl2c0DzQDUQo8OldeM\nuN1iCyn848sqXOUq8Oi8e9I1hfc0U/nDWilvPxu+39L4x5qge5+Z+NiyOfVrs5HqF25axI0bvJdD\n5IlDEASRF0zA8UIu4LiRmSBnBZzqhKWveY3xvLR/vZ0mF1i58qEohSTgMDsOAr6aFmsXG3EfigVF\n5FQHoscNa0/d2GALOV5pUryAI0OMkOHbqrGgeGLGAtdnjNjHhBxxmSCI8oE3M145cy6a32+y+1nf\n6wezSk4hfW+8Urhum9CdEZeKnGEtE2feON5hCzflVEa9mMjS/0Qvp1GrN+Dc8sWONkPsP7d8sT3O\njwHAyDedaV7nb3WO16/d6Moe4IWcoCERhyCIskF0b39p/3osa13qaJeKV+e05b3u5vnlUS2m0Ig3\nUipkr6Us9YPv27N6vjMiTkwrWXiFMlpCV0Laa55XX7GRiUn5CjuqdXlDZdEvhygtrAoc/18cw5Aw\nw4sy+frY6AQcILfomlwFnEemOy+ATf24RAot2siEJB4SjggiQ3jdh/Zy8tqrHGMyAYePtnn94Pu4\nfcoSe0xHLtEyQfnuFBNZmtlwEnNGrd7gEGtMjLhlgo5Xm18e+eYGl2gj6ysmJOIQBFFyZKX3WNpU\nKYUbHhaBYxqNw8MicKo9Gqek5GnqWpYsvALwEKNUQpSuX7quRxqS7b/Td4GMjqsEPnXKBN5UPl90\nqVY6eNFGFHR4THzRioVO0CGI4Up43YeuSIXktVd5pkCxKlPOSJNsAnnPkl40v9+EniXZvub3mxyC\nC5+Sdf/uzxyP5VzP+fiube92bm/lzLm4f/dn0sdhj1UsRIHpBeT/o2O5IEa9MHjBRYyUYTCD7jO3\nd7hEGh1ec0sp1nhBIg5BECVDJt7kmhPqxSPTF2nTo4gqgkunYpRD9AxBlAOydCodDt8qH2J6odOp\ngNyiAPOBF4lIoCGIwsOXCfcSeVZiLnqW9LrFFE5wYWNvHO8YivDJjDGRhuHaztC22RwWHXT/7m6p\ngMM/Dt8n868pFNUUhXP+1sW2Z5RXehPgTKcyRVX9SoWXsMS4cNMiLGt1tgtJ1Yk4uhtAhaeb8Rwj\nY2OtWZl+GwPNaielyAS1UenkpvPKcRPzOJ0B3Zg69T4AwLRGtz8Iz9Ta09ptzKhVl4keM2Q6W0pM\nTC+LQoFNhwG5YSqPytyTCTeigLP7wdw/jqKc25j4K+1z+7rRk8qaE/LGljz11oB0mbXrw5k+do49\ntHs7np05Dw/t3o462zC7GZOivZLlTHvqUNWEqZ+6q2R9fFYf5XAxYfCBod3GJcrxk+FG7TaaIt7v\n90GDD8bBmlN4fO9WHE7KH+vfOldpt/FC+5cUow048M0ZdivfmKcg3st+DW6DMMg1QXusQXyeFMP4\nOIDHsPo032cGz0VYY7CcvERvmKrii+27gI0NwKKMCfFU7HJOkKRSiTABhxkXr8BSR5vv86KOq95Q\nJ6nkwPpkAhAbiwmfGV4+OkDm8z2XVKogo2GemLFAiB5YIE2NYibKbB3AncblZa78xtzJ9rIs0pNP\n5xU9135xWbO9fN02tThnYmCvYjCp/p4+N6A3V+4fVH+fJTTXnSak0vofg+Jx78eJ9+k/f0MD6gt9\nTT0NAPr7CZOXS2eObIbm3knxsgfxwxufMgUAt2OJbVSso5ARL6ZpW7nswwt33prv7hiTjpiYaqtf\nt3QkmB9Ug0CW3uTVDiWz9xZsORV2Hosq5UqcmwpbCCEtjegZtXqD/f5j75G+W+TCTSihfz5TOT7n\nVSfiEARROViDCex61H/VOdNfdmUX3qxax0O7tzv6+bZqDHAaIovRP2KpclXpcoIgiELAGxjzxuI8\nXhE3bH4+0TjiY5lsQ0zBAtReODJT9VJFy7AfC2TfNV7myt+fMd8h3Igpu6zdMyR+/+KyZlvI4Zf7\nknV474oGrZBDEKUiee1VjkgF5onjNihW19zURbTwVZqyaU4mdTy9H2cl5trbFrf1xvEOLjXLOeY3\n+ia03v1Zklrq/kGykET/4wMAQPzLV/vaTsOajei/uTDRKWJ0DTMo1nnkmPjomDxeKSARhyCIosFH\n3wQl4BAEQQw3VJE2XmN8Py+meAk3Xm0/65rChPm4R5iBKOqoRBtRUCmVwbDX4z6+dyuOxM1+8Qec\nkTiySogEUc6IZsZeqFKDeH8c97xebk6vK5rGFncwVyrSmCJ664jROKJHTj6E1m+VCjZ8v9ecIAhK\nvAkKJsywiBixkpSJsML8cvh2Lo/t1S4FJOIQBFEUZP43BEEQBFHOPL53K5a1zne0g8ZP9UM+nYog\nqgFmKCwKMLK+XOhZ0uurNDgvAPF9fNtUvOEjbIodWVPuqEyExZQmldGxyvjYpF9sm26/WFSdiKPL\nJ0sGYDOQaFB71QBmnjc6Js89rhxfNG6fcrwxPKAcrzNI2I1Kct15xkbOabdRo9lGa1Qf4jjKUh8L\n742SD19s36WdcwAztHO0aPwSTEjX1frfD5/o/Dqm/nivo33wz6e75kz+fw5isqs3WGpMXFF85JNf\nSPp/LWrCCe2chCbpXeddBQTjq9OnON7zKb3Xx2kPLxyGyev1wITfKMcfxNe029BRLD8av+x5QP26\nO8qxe6A71ojOJ6ZSMPHMCRfeT6wY8N42pUT0vCnJPgRxMQZnCq24TZNrKdl6rP3szHm47bNDdv8b\ncye7PMa8PMdk6VQqVNd0Awa3BLrvIp3fDQD0X1R/b8YH/d+apGIG517C+1hCF/UXBjW9Gk8c/Ve7\n0msGMPTE0dhomOyHDp+X2HkhVp1ifX62wZsPN7/v9LhV7AAAIABJREFUrlyVC0xQErfF9lHcd57Q\n+q2uKl25CDl8FA77z6/Pl3EHgMR12XTTyHtbkLhuASLvZaIXWZSNGHXD2mx58PprAAA1v9ps9/PG\nvfVrN+LCTYvs/0AmfYrBvGL4j5Bk1L/vDu+Bk8+4CUGc/yZ+N7n6WwVih0UQBEEQBEEQBEEQBEEU\nlqqLxCEIonwQI3Cm/P3nJdoTgiAIgihv+CpVXvDRNzy6KByCKFd4bxrelFiV+pSJgMlG5vDrML+a\n2yZ029t443iHu9w3t33RW+f+3d1C+zPpso24rz7SthippfOVaVdsnO8Prd/qiLwBstE3fFsVgRP/\n8tUYvP4aO+qGj8JhywAcUTdiu37tRkelpsa3zKsLEmaQiEMQRODI0qdIwCEIgiCGA16lxGU8tHs7\nnp05DwBw22eHXEKO2CcaGzNPnOu29ZOQQ1Q8+VRzEtcx2YYo6PitIlUoRIFG7FPN90IUeYIyLuYF\nHZG+WxaRkBMwJOIQBBEYMvNiEm8IgiCqG7FkeT4VqSoZXqyRCTe8p46szXvi8Mt8n5fvGO+JQ+XF\nCaL8SS2d7yi1buqHY1qRivndENUNiTgEQQSCKOCQeEMQBFH9rGhb6jDpBIBlrUvtMuEEQRBBk2vk\nDJsvpk2VKgLHRLjJp3y4VzoVUX2QsTFBEL6wUmmHgJMOWSTgEARBEARBEGWFmDolijrVBgk41QtF\n4hAEkTdi9E065L9cIEEQBEEQBDG8YKbGDnPjAlGuHjg8orEx38/DR+ykls53CDd8OXG/8GbHgNoD\n58JN5IFTaEjEIQgiZ0i8IcqJB6fxv6Rtcw4uvCL4B9y0zXu7/Nimbf72QXwc17ZzC7MmiELw0v71\nWNbq9sSJpcMl2iOCICoJPhqGLZdL2lOp0aVTycbFdCq+rTM15tt8JSpVHyAXdPjqVETwkIhDEISW\n1Mg6zzEScIhygPlvPPjVr5V4Tzj8CkiFEKAqiMSx44i0TMh5rGD7s/8gIm1T7GUAdnu4M9yMjIcL\nH10lFis4iui6iSXZF6J6Ma0mNVyFHIKQMexEnEhMPyeu+fEoFdVvI12bUo6HGuPabfxeyw7l+MSa\nM/odUVBnDWrnjAqrn7CW8FmDx0kox0eG9M/FU8eWaef44T/3zNLOaUfS9+NYsQHf29CRrqsNbFui\neJP+4GMAgHX15W7xxiM64cCifkzdmHvZU5PX/MCibCUO6U1EyHmOPzitw2W2GU9nrcEemb4IT3/u\nDP+Mpb0/JseE+7T7GNN8YMwbeVS7jeODo5TjRy5cot1GNKw+fyOW+jMLAOKKX9ZPxUdq19fh9Vy9\nOqfNXharujAOJzLP0UtvrdI+ju7c0n0etC8H9jwgfy7YWPsL/j4vZNvnH7d9eX7bcG1Ts58mnyfa\nz7Wk/89OIjjKJUKG/+z1QvX5CwCD8HcsF9L+vy8vJIP7zvVD1NK/z2Lw/j6qDTmv1TbPD+Oarc5t\ndp+aDlx7AInfTJVvf1B/gTzQX6OZYPCaar6uQgP6cyt6znuOwWUpQupLW6NtJOQFx2xM7jd0WBf1\nc0Jxd2XRcqOSBRwWVXTbhG488I9v+t7eC3fe6nsbuh9gU1H9D7QpjYqQqFO/D4M4vwH1foaS+nNb\nd/kbxPvD4OsuZ4adiEMQhBmigBM6H7NlLE8BR5Vm4gNRCGLizXD89XfPNVlhtX2zd4RUtfDqnDZH\n5ZtlrfM9hRwVK9qW4qX967GibSmmDul0vAjIn1/ty7diz+r59jIAuy2Dn+9ATKfi3yeyfsd68723\n67EPDNN1Sk3i2HF7udhRNQRBeCMTcBiJ30xF5EveQk6pmb1ik728+/nFJdyT0tH2RJer7/Cjnfby\npKe6HG2Rcau6cfLe6jb8JYhKh0QcgiAAZEUbFm0DZCJuQuezokF4zkwAQNJQrMk3CoeQs+eamEvQ\nGA5CjgnPzpzn6hNFPibkPHVsmVQYFIUcAA4xRyaO5CK0AHD72gQgeor7kPM+lYDEseOuc9mPkOMl\nCLG0K/E/v474uInDR7LbmtSa9z4RRLXCCzhM0Il86QCwJvM5PPnmrNB+aI37s3n2XVmj1Z2vLnD0\n7/zJQsz+RkaI2fmThe51v5EVaXa+5ByfvWKT8Lky/ISctie6sP/JrEATGYrE4YUblYBDuNGlcpmk\nelVyJBFRnpCIQxDDHD7iJv3Bx64LIAwJN0HARz4AcAk8ssgI1sdusvk5fHQFf8O+oi1rsimmT4k8\nMj1jvCamURGVBYvOaY/2es7hzxGduGgiguQllshEGz6KrUDRbJUKL86o5siEG1UbgEPMsZcPH3EI\nN2KbIAg3dmTO2YyAwws3Ynv2XVvcwg3f/sYmW7wRl4EhYWco/WH2ik0uIaea4SNseKGGKBxBCTTk\n6UMETUWJONEzekObVI066ez/Z+/No+yq7jvf7x1qkEoqXCpNCFBJqtKAQbYaoaFKem2s+Lm8Honb\nXrQTt5QsgpvYkQxYiKQhD9s07vAaVgIIcCPjYBNeAouOw8Oxw1tWloNJP6TSgBQ5AqOhNCIJTaVC\nUo13fH+c2vfss88++7fvvefeurfq91mrVp09nOFO557zvb/f91d3iU5Ko/IEbfJc0xPM+XPNTbSX\nxsJ62ivDRILIe6f8bgDa8+ZHF/49uQ3SX6JI74gwsPG7ifWbPYQifQP0jlKlf6w2vjvZ+jqjWXEp\nUCMdHpq51SO+6ISY50+8A5xQxk64Is3snQ0j/ib9OZ8TdT+b5rRL7X5sPve53DwAnv0Dfo+mmmxw\nsqyNp0NtzUXjeE96ErmN+pFjOgK/8NBS34OGGP2a9xO+DYNpOjk5YUiA7k1NJNcvhC/+pgeds1yh\n5K6DJ3BJ85yJvsZo8HntQtoxIPjm9LcAuAKeINePFfiHDq+3zia05/o2oT0XqfPZ1sOeeSdH+n61\ncX7Ot0b2sZF9alSPmyMbY0a/HRNyOlWoxEPwT4lZbkMzL37dLK2njo24k9uGEmkz3lO36m28U0Lw\nzVHPj/Ln7YljO0m/G4D2vKE8x8LwvAkD6jiHsoRPjAUmzzKbOcOe83tWaTsmx3GczLUHt84F4NxI\nDG6di7xsA9ORwPbh51YgIn0NR5LeuZFkBMhEpLb5e7i2Vz9uupan/G5s5lh8zBAhXvaIdOizv7fd\n/yMbgJPf9Ys5un2b0qkyNRHMeNYRiM7d15HrA4AZz25H/x0r0PC680NX/x3e70255DTgrV5U+4vd\nSHxhWe6+Kv7WHl91JMDO4yUMLxkZ2aemmPVtGK/iDXWJTHni2HyGyH0QnjkAEMuY79ktLCMRTZm3\nkYnTx0FtQ6WqRByGYYonPc1vgitSpqyvwYIiB3J+Hw1Fp1KV2+9GRPRUMmv293sEjTX7+w2zxw5f\n/E1P6NtUTaxVQYdCjhSrhJTBSk+fUolfNyt3EyLalYKcTsWEw4NzVyg3oCvw6NE9hjWYSuNTeyPY\neWEOAGBC5zHjXDmdSseCu98t+Djm3xscNXv4mZWe84pO4BjrnPxuB2Z/z43YsUmdmvHs9px4I8Qc\nmYbXd+bEG3VZLTkthJtKxiYqRhVp8hFtgPEr3DDlg0UchhknmMQbQWxhm+cCKBZiKhXgTZfaAK9g\nooooxYg4atrWWGK8CDflJF8BpxQceTU/I2MT1eCJA1SWcCNTqcfFMNWCzgdH5tCLtxa87cPPrfBE\n4vjGn1mJup4SlIKpImTxSgg6tj445+7r8Ak5avSNLYkvLEPtL3YjtWZpYBROuXi2bZHU6sWzWIT7\nug9YrSsEnJ5VvWje1oR1M7rwbJt3fVUYUscZJmxYxGGYMY6NeCMTtnAjo6ZTqWjTqYrcD8PoeOLY\nTo8fUqFCjvBpGs33nBCA5DYTDuyJw4xHPrU3gn+7JYtP7fWLJRM6j+VSqWxQPXFUFtz9bsGizvxv\n7cDhZ8aHcfHJ73YUFGUkxBuqIlWhqOlUlcx93Qc8YosQWkRfULRNbj4WBUbYqP0s4DClZnxL1QzD\nMAzDMAzDMAzDMFUCR+IwzBhFF4EDALELl5GtD8HsMaiSzvLFOLliv1VkgsnYOCxGO0qCKT13HTxB\nztH5b8ieOPKyrqKZ3PfU8a6cQTbgjfySl9WImDDb1NzxhCgdLrcL3tZ1s7jEeAl44thOdM7K39iY\nGT1ENI7MBNBROKdev8lYYvzQi7d6PHFso3AOP+e8f2RPnPEShSOwib6Z/b3tZfUCqgT/G2+qlF0U\nzCvn2tG8zVm3eVuw502ledvk683DjF3G3DdoNGG2kI4P087PsWGzg3TNFTqAKd1sLmE155pL5Dbq\niTJYVLWDWsLWe0qMrpA1OWquyHTy3nnkNhb0D5JzqgGy+pRN5SlNlZUwSV8/Tdsf+8j7fjM+Fptq\nNNdMIKf4qpK9CmCFm/KxAaul6lLA7J3e0uDyGNCPDS2rPVWm5H20Yp+7P2U/R15dgiNHoJ8HYEOL\n9zDdfeqR/XZsRCdTdSsAaLb4HNYQn2VqHACups3VyGyqS11O0q+7iT6iQtZki4p5iaj5/Xk2rRcv\nZSZGzNW8TBWuBBtn/JKcY4Kq2meDWhmroOPYSFUPpKvmkGcMi3OjrqpevOWGkQVN1SoxJtoBYova\nr5tnM0fdp7r/asKm8hRVea+QylIPH3XPy1eydeQ1jA1U9SlqH1QVT4C+lrKB2o9NZak+4hx+MUlX\nOqSqFKq0Kpky71261jdHFnXSaed9c+LvpB931KcvFc2VDXfa7uKhHyxHdNC9Bu9+eiUiShWo7qdX\nIt7nzKm5oj/uuMVlp2lONJlflZhCycbM9xtpi8PIajZhU0XXfyzBbbU6j9xW16t7czeGb3eFneHb\nl6Huzd1Ifj5YrMtmCk8MebZtkcc0HQA6Zy0pKp2pZ1Wv2+im9w/4haNSeuJQlbqevnstuQ3qfjkb\ns6jmTMyhTvFUZSmLArC+95+KzWchGsKtWYSocGVT8S42bFEGS2LMiTgMM94IEm4Av3gTOmoUzghB\nUQFyv+4GNChiRu0XbSHO2EYl6PrzidJRo3qE6GQbQbRpTrsnomPTnHarKBKGYRiGYRiKU3/Wgev/\nu7/ClMkP5+z9HZj5tH8dioEvr8DEN7zVwmQBp1Jwold6c1EsajSL7JEDeAUZkxgjj5XDyHg8ReFM\n29KFC+v1j9c0RjHlx1249LWx8TyyiMMwVYpt1A0TDrq0rFKngjEMwzAMw+TDqT9zBZuIJkBAJ+ic\nvV8v8py9vwONx91QhYEve4sAVKJoI7BJkXoWi7RzbCi3ebHJfJkZf7CIwzBVRKBwc+qC1LBIh2JC\nRRVw5LQwEXmzaU577v9Tx7ty7ZcWOvlcckSO6FP7X79xOu744Hzuv+iT6XzPjS/fenOjp73907Xo\n+HXC0waAjl8n8MFSJ9bzxj3O18IHS1O5ZdGetcPdz5mVV3PLs3ZMBsMwYxO1cpvsHxXEI/OWetKn\nGIZhSsF93QfQOcsbZd28rUk719bfRvXYqRTUMuZMZVP3ppuPOvQ7yw0zC2PMiTg1H5u9DGJNdA52\nfMCc1xafYM5hBQAkzYl8AynaZ+AKkf88lDVvoz5i9rOxykePmhOLY/3mfVhh4yVTJDq/hdCPwcLv\nJpuySIqUyMzx55/LRI9/5GxX7sxzHyqRNH1aiJ/72Di+4FE67/50/HrjeLqB/oy0+pLt84fyBHH3\ntc/nY6LzNWldu8+TtrVpjpOyNXunG82z+dzncm31RuexeUs8fY/NW4IHuoVJ5HS8fuP0XPvJtpvw\nQPf7uJR2vRBeWtgiCT+NmFXj5Hb3RCcBaMbUGkd8+dknm/HF3/TklgWTYuKzEpOWnXbvsOObM/iZ\nc5jwL6557JmV53DNO82gqJ1Q3HsToM97Nm+JoUjxXhz1qlGDQrGeOZXCkY20KEz55th8TxRrtk6e\n40PA6hgJTzGb59PkdfTQzK3k+leJ7/Z8DIUfmbfUZwr+4NwVVgINdY1B+dnYbIPymiHPF1YUf51D\nHcewxfUY5Wt2MWHhiWO49kxYfPf3J8zHOdxPP9+RpPkaWvjdmCC9K/ts/C+Dx0KwQSK9OgDar8PK\nE4SYo/rZ6KDuewpF3MSa/HCK5ZVz7bivu8vXV0zESiWWB8/n8URSNi+6+Y2TjdKfw1SdeQ7piUN4\nQpnGxdi0Lds9qVVqqtWUHzvvjZ673T75M9P8ovveufpVr1H65NfcXy7VCLSJb+z0pBOqIk39z3d5\nvJo6Z4UftTbmRByGqWYo0QZwhRumMim2ShB1c+QKOt7lYvjib3o8Qk6+OIJO8QINwzCVg07AAZxK\nbxxpwzAMhbhpDdMoWo1GESlGpgiVdTO6tGlTNj425fC6MSGLN+MtCmf69/P3aZKZtqUrJ97IYo2g\n+UVnvHZE9J382o6ckCMvx4azOdFGRu6b+MbOkkTbmGARh2FGGZtoGxtxh6kcWtcWd3Pz2Dx7IejJ\ntpvoSSEz4V9mYPAz5zxthmHGL/I5SyfuyOcpVXzeMr/N015/2FsOJii9FABeWeRGdK47cCqPI2YY\nptoQYo0s2gSZFQN+0YMqRS6bFAfNKQdBxsvjjfP36H2aChF3TGKOQI3EoVBFnXLDIg7DjBJBwgxH\n2lQfcgqVmk6Vr6CjS6cKIiidqhzIws3gZ86h1iKdimGYsQd1zhLnKV17y/w2n2gj93nTQ73tlxa2\neISbVxZdz0IOwzBaZDGGitwJEm7k/iABiNoGUzn03N1uTKcqhqHfWY7OWW67FAbg407EqemnE10z\nxLOSmkgnukb7zXPO99O5yxdTjeQcE30w50/XWiT9To/1GcdtfEvCgPRUKIOvDuV5Y+N3EyTcRBIp\nRM5cANIWeaw2c4oga5EWQ2XKRoYtPAQIA+ZYaiK9DcJ/wspXZ7Ple2f5YkeQkcuq79rvjknbyS2P\njAvvHNVXpxX70BjxJ+aLPmEo2hh1vb7kZbUtfu2eIn1uxbLwjpgs+VyJZfnX7Mkxsb0Gadlp18ac\n98bl1T0eD5xB2PkpJIiTK+X5YAN13gOASTGzd1o9ZVQAYChr3kYN4UkWBpQ/yuNnO8ltmPxXAL3v\nU77YfA6N53iL83uxnjqMlwRinv86ZL8aefmB7vfxZNtNHs8b1f9mIFuXW0f1vbnr4AlP35XMhNzy\nHR+cz7Xv+OA8rkpjAHzti0mz6XrSwrhkMnG+oM4nAFBDXG/ZHMcwdXFqgek8nbIwYEmlS184IZKh\nvTjC8KwxH0Px24hZpBCRfjYWjzNTY36+bFKZLL7yKgJZeLHxiDFVp6rUaJdKOa5MnP4cUqct6r1J\neeaYxuUxdT9yW3eMct/Fb7Sj9qrzGWl8dQeurHWFHPH5VP+r47n9Ks+ZHKkTS4R/7zbuRByGKSe2\nxsRMlbB8sSvciLZpjjof/kgdIdSIii9PHNvp6VMrw8gIbwqBuHkKasusO3AqJ97Iy4I1+/vx1uIG\n3aq45p1mXF7d42knyqCjMgxTnagpU4K7Dp7wRQ/KkTeiGp/clinGy4thmOokDBGGmi+2XyniDhM+\nU1/owsVvVG/JdhZxGCZkWLgZ4+iEG8McWbBRTY+PvLoEf9/+gm91uYTvE8d25qrJBJmMXsm40Seq\n34Ron01d41uXSj1Ys7/f095z2b1hsqlGxTAMA/h9bmRUnxs1hUoWbl6/cXqu/fqN03MV9gAWdBhm\nvFIKoaVaxZvFtRdH+xDKyrn7OjDjWb1HjmkMcKJwpr7gvs5yFM6VtSvR+Kpbnar/jtH1v9HBIg7D\nhAR73DDVBPtHMAxj4uGj+3x+N4DjeVNMZTyT542KLNqYYAGHYcY3YyVyRo0yovx7VPYnppbisMrO\nRw90BKY1nr3fa3h87j69ATIAMtJGTqdSEaJObNg/roo6o2FyzCIOwxRJ+vppvr6cxw3DVChqCpUa\ndcMwDCOEHLVP54ETxPrD3Z50Kjkqp5h0Knnsi7/pYSGHYcYBOlEjX6GDYcYC407EiVoYC0UyZqem\nSJo2CaMYTtJP/f6+64zj19QMGseb4gPmHRCGUgBQQ7i7HdlIm9xtXfV9ekcEndvuMY5T5rTxIb95\nbLGMZ/GGMnGOxC1OLYRRdMTiNaPMTElDbJTenJt6b/6P1jXkNigD2/oIbUat44Huy7nl40n/+1ml\nIR78fA6k6OfxZH+TcXwwTZ+UqPPepFjxn/XGqHkfAJAgjLmThGMl9ZqGQTn2AQB4zjxsY47curm4\nz2HsMvGaESboAMpikG9lpG54PocsDHDDQBVpgsaC5gBeM2NdOpUwW1cjAhPSY+xL16PzvSuetsyy\nfc7z+VHiE1i2L42PEp/wjJ8e8rZV+i3OW7MmXDaOz66zeE1pz2CSumhh53kZk3lxsgymxWERIS7D\nszELU9ZocdfyNQPm62Mbc2RqTqqOfhyZmuLvSUptFE2RjdKPc/MfftVdhqYK5197S45Xq6hTLmNj\nm+ec3oZ5nKpPki3+EBAjLvNtTLtT9eYDsfks2xiIh824E3EYpljGs3jDMAzDMAzDMCp1b+7OLZei\npLKJahdvKDjaiFEJ4bcBhmEYhmEYhmEYhmEYptRwJA7DWBIUgRM93wsAKH8gHcMwDMMwDMOMLnVv\n7sbWM64Jeues8kfjMMx4gkUcZlyRnuaUWY5dMOe45+ZfO0XbL4s3DMMwzNglfdD1c4ktbDPMDIFd\n+wE0lHYfDMMwY4yxkmq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fqsSamhBravJE2QQJOXJEjlhW58eamoC08t5V2+p2JXFHtMXj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\n8/ftLwAAHsQK7fL/aF2DkyuA2c8dBQDPsuDkCiDd4L7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XW3WkXIRR4eok5pFzOjfeU/R+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p2ihQKdSkkbZjQBrwKvnF+NS48ucqVZXXp0FjcyR/XwT6dLsalTvD6RoCNaVrWe+prjaN65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\nEnVDp1MB4s82H8hrEee6o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7x1eOOkjxVHqh935j3xJP8B/vonmoTbottkP2s370Xr9lX2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R7EU5Kf3txh8I4HsMESIJ9UWoROHNE4baz0Pl4VLkVeegTgyK30vjAmqfown+Pul4uQuv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6JWo4oTVZUslUhj6ofDD95U5tDVFnbi/kyCehvVO6Lzqzvnouejnq69wECHR5DlDYsB5/wy42LW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\ntbC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WEQTBjQ17no2tF/mXbBQ+GqAQQQoURZwEnNgJTWgsrYycKycrpvKg3MFr5izcAIR5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\nN9ypI6JOvdHlgbjmhIR00oQKlDYKOv2ynLxKq1xdULHX2r+HtCw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OtT7dPZQmiTUhhJQB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\nQgghhJAa8P8BLMFO7FbURq0AAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f6addf719b0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from PIL import Image\n",
    "import requests\n",
    "from io import BytesIO\n",
    "from matplotlib.pyplot import imshow\n",
    "\n",
    "response = requests.get(urls[0])\n",
    "img = Image.open(BytesIO(response.content))\n",
    "plt.figure(figsize=(20,20))\n",
    "imshow(np.asarray(img))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.2"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}