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   "cell_type": "markdown",
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   "source": [
    "# Is this Sean Marks last chance to build a good team in Brooklyn? #\n",
    "*July 9. 2024*"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "I'm a Brooklyn Nets fan, and with the [2nd worst loss in Nets Franchise history against the Celtics](https://www.nydailynews.com/2024/02/14/nets-embarrassed-celtics-mikal-bridges-jayson-tatum-jacque-vaughn/) this past season, I wanted to assess whether Nets GM Sean Mark, who is approaching 10 years of being the Nets GM, knows what he is doing and whether or not we're headed in the right direction. \n",
    "\n",
    "**Objective:** Explore various metrics that encapsulate whether or not an NBA team's GM is doing a good job or not:\n",
    "- Win Loss Record\n",
    "- Playoff Appearances\n",
    "- Fan Sentiment Analysis\n",
    "- Salary Cap Management\n",
    "- Draft Success Rate\n",
    "- Trade Impact Analysis\n",
    "\n",
    "### 1. Win-Loss Record since taking the GM role ###"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [],
   "source": [
    "# import the necessary libraries\n",
    "# It'd be interesting to see how many all-stars have been involved in those wins since that GM has been there\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "import requests\n",
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt\n",
    "import plotly.express as px\n",
    "import plotly.io as pio\n",
    "\n",
    "# This ensures Plotly output works in multiple places:\n",
    "# plotly_mimetype: VS Code notebook UI\n",
    "# notebook: \"Jupyter: Export to HTML\" command in VS Code\n",
    "# See https://plotly.com/python/renderers/#multiple-renderers\n",
    "pio.renderers.default = \"plotly_mimetype+notebook\"\n",
    "import plotly.graph_objs as go\n",
    "from nba_api.stats.static import players, teams\n",
    "from nba_api.stats.endpoints import leaguegamefinder, playbyplay, playbyplayv2, playercareerstats\n",
    "from nba_api.stats.library.parameters import Season, SeasonType\n",
    "\n",
    "import os\n",
    "os.add_dll_directory(r\"C:\\Program Files\\GTK3-Runtime Win64\\bin\")\n",
    "from matplotlib.patches import Arc\n",
    "import itertools\n",
    "from PIL import Image\n",
    "import time\n",
    "from py_ball import synergy, image"
   ]
  },
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   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [],
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    "\n",
    "nba_general_managers = {\n",
    "    'Landry Fields (Atlanta Hawks)': '2022-06-13', #done\n",
    "    'Brad Stevens (Boston Celtics)': '2021-07-04', #done\n",
    "    'Sean Marks (Brooklyn Nets)': '2016-02-18', #done\n",
    "    'Mitch Kupchak (Charlotte Hornets)': '2018-04-08', #done\n",
    "    'Marc Eversley (Chicago Bulls)': '2020-04-01', #done\n",
    "    'Mike Gansey (Cleveland Cavaliers)': '2022-02-23', #done\n",
    "    'Nico Harrison (Dallas Mavericks)': '2021-06-28', #done\n",
    "    'Calvin Booth (Denver Nuggets)': '2020-07-07', #done\n",
    "    'Troy Weaver (Detroit Pistons)': '2020-06-18', #done\n",
    "    'Mike Dunleavy Jr. (Golden State Warriors)': '2023-06-16', #done\n",
    "    'Rafael Stone (Houston Rockets)': '2020-10-15', #done\n",
    "    'Kevin Pritchard (Indiana Pacers)': '2017-06-29',#done\n",
    "    'Trent Redden (Los Angeles Clippers)': '2023-06-01', #done\n",
    "    'Rob Pelinka (Los Angeles Lakers)': '2017-03-07', #done\n",
    "    'Zach Kleiman (Memphis Grizzlies)': '2019-04-11', \n",
    "    'Andy Elisburg (Miami Heat)': '2013-09-28',\n",
    "    'Jon Horst (Milwaukee Bucks)': '2017-06-16',\n",
    "    'Gersson Rosas (Minnesota Timberwolves)': '2019-05-01',\n",
    "    'David Griffin (New Orleans Pelicans)': '2019-04-17',\n",
    "    'Leon Rose (New York Knicks)': '2020-03-02',\n",
    "    'Sam Presti (Oklahoma City Thunder)': '2007-06-07',\n",
    "    'Jeff Weltman (Orlando Magic)': '2017-05-23',\n",
    "    'Daryl Morey (Philadelphia 76ers)': '2020-11-02',\n",
    "    'James Jones (Phoenix Suns)': '2019-04-11',\n",
    "    'Neil Olshey (Portland Trail Blazers)': '2012-06-04',\n",
    "    'Monte McNair (Sacramento Kings)': '2020-09-17',\n",
    "    'Brian Wright (San Antonio Spurs)': '2019-07-24',\n",
    "    'Bobby Webster (Toronto Raptors)': '2017-06-28',\n",
    "    'Justin Zanik (Utah Jazz)': '2019-07-22',\n",
    "    'Tommy Sheppard (Washington Wizards)': '2019-07-22'\n",
    "}\n",
    "\n",
    "nba_team_colors = {\n",
    "    \"Atlanta Hawks\": \"Red\",\n",
    "    \"Boston Celtics\": \"Green\",\n",
    "    \"Brooklyn Nets\": \"Black\",\n",
    "    \"Charlotte Hornets\": \"Teal\",\n",
    "    \"Chicago Bulls\": \"Red\",\n",
    "    \"Cleveland Cavaliers\": \"Wine\",\n",
    "    \"Dallas Mavericks\": \"Blue\",\n",
    "    \"Denver Nuggets\": \"Navy\",\n",
    "    \"Detroit Pistons\": \"Red\",\n",
    "    \"Golden State Warriors\": \"Royal Blue\",\n",
    "    \"Houston Rockets\": \"Red\",\n",
    "    \"Indiana Pacers\": \"Navy\",\n",
    "    \"Los Angeles Clippers\": \"Red\",\n",
    "    \"Los Angeles Lakers\": \"Purple\",\n",
    "    \"Memphis Grizzlies\": \"Navy\",\n",
    "    \"Miami Heat\": \"Red\",\n",
    "    \"Milwaukee Bucks\": \"Green\",\n",
    "    \"Minnesota Timberwolves\": \"Blue\",\n",
    "    \"New Orleans Pelicans\": \"Navy\",\n",
    "    \"New York Knicks\": \"Blue\",\n",
    "    \"Oklahoma City Thunder\": \"Blue\",\n",
    "    \"Orlando Magic\": \"Blue\",\n",
    "    \"Philadelphia 76ers\": \"Blue\",\n",
    "    \"Phoenix Suns\": \"Purple\",\n",
    "    \"Portland Trail Blazers\": \"Red\",\n",
    "    \"Sacramento Kings\": \"Purple\",\n",
    "    \"San Antonio Spurs\": \"Black\",\n",
    "    \"Toronto Raptors\": \"Red\",\n",
    "    \"Utah Jazz\": \"Navy\",\n",
    "    \"Washington Wizards\": \"Red\"\n",
    "}"
   ]
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  {
   "cell_type": "code",
   "execution_count": 40,
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    "# Splitting keys into owner name and team name, and creating lists for each\n",
    "owner_names = []\n",
    "team_names = []\n",
    "dates = []\n",
    "for key, value in nba_general_managers.items():\n",
    "    owner_name, team_name = key.split(\" (\")\n",
    "    team_name = team_name[:-1]  # Removing the closing parenthesis\n",
    "    owner_names.append(owner_name)\n",
    "    team_names.append(team_name)\n",
    "    dates.append(value)\n",
    "\n",
    "# Creating DataFrame\n",
    "df = pd.DataFrame({\n",
    "    'full_name': team_names,\n",
    "    'general_manager': owner_names,\n",
    "    'gm_start_date': dates\n",
    "})\n",
    "\n",
    "# get_teams returns a list of 30 dictionaries, each an NBA team.\n",
    "nba_teams = pd.DataFrame(teams.get_teams())\n",
    "\n",
    "merged_nba_teams = pd.merge(df, nba_teams, on ='full_name', how='right')\n",
    "\n",
    "wins = []\n",
    "losses = []\n",
    "win_perc = []\n",
    "\n",
    "for index, row in merged_nba_teams.iterrows():\n",
    "    gamefinder = leaguegamefinder.LeagueGameFinder(team_id_nullable=row['id'])\n",
    "    historical_games = gamefinder.get_data_frames()[0]\n",
    "    # historical_games['OPP_TEAM_ABBREVIATION'] = historical_games['MATCHUP'].str.extract(r'[@vs\\.] ?(\\w+)$')\n",
    "    # historical_games['LOCATION'] = np.where(historical_games['MATCHUP'].str.contains('@'), 'Home', 'Away')\n",
    "    gm_wl = historical_games[historical_games['GAME_DATE'] >= row['gm_start_date']]\n",
    "    win_loss_counts = gm_wl.groupby('WL').size()\n",
    "    total_wins = win_loss_counts.get('W', 0)\n",
    "    total_losses = win_loss_counts.get('L', 0)\n",
    "    winning_percentage = round(total_wins / (total_wins + total_losses) * 100, 2)\n",
    "\n",
    "    wins.append(total_wins)\n",
    "    losses.append(total_losses)\n",
    "    win_perc.append(winning_percentage)\n",
    "\n",
    "merged_nba_teams['wins_since'] = wins\n",
    "merged_nba_teams['losses_since'] = losses\n",
    "merged_nba_teams['winning_percentage'] = win_perc\n",
    "merged_nba_teams['days_of_ownership'] = (pd.Timestamp.today() - pd.to_datetime(merged_nba_teams['gm_start_date'])).dt.days\n",
    "\n",
    "\n",
    "# Gather team logos using pyball image and append it to df\n",
    "list_of_logos = []\n",
    "for team_id in merged_nba_teams['id']:\n",
    "    logo = image.Logo(league='NBA', team_id=team_id).image\n",
    "    logo = logo.convert('RGBA')\n",
    "    logo.thumbnail((250, 250), Image.LANCZOS)\n",
    "    list_of_logos.append(logo)\n",
    "merged_nba_teams['logo'] = list_of_logos"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
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n=r(92605),i=r(44317);t.exports={moduleType:\"component\",name:\"annotations\",layoutAttributes:r(50215),supplyLayoutDefaults:r(84046),includeBasePlot:r(76325)(\"annotations\"),calcAutorange:r(3749),draw:n.draw,drawOne:n.drawOne,drawRaw:n.drawRaw,hasClickToShow:i.hasClickToShow,onClick:i.onClick,convertCoords:r(94128)}},26997:function(t,e,r){\"use strict\";var 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strict\";t.exports={cn:{colorbar:\"colorbar\",cbbg:\"cbbg\",cbfill:\"cbfill\",cbfills:\"cbfills\",cbline:\"cbline\",cblines:\"cblines\",cbaxis:\"cbaxis\",cbtitleunshift:\"cbtitleunshift\",cbtitle:\"cbtitle\",cboutline:\"cboutline\",crisp:\"crisp\",jsPlaceholder:\"js-placeholder\"}}},62499:function(t,e,r){\"use strict\";var n=r(71828),i=r(44467),a=r(26218),o=r(38701),s=r(96115),l=r(89426),u=r(63583);t.exports=function(t,e,r){var c=i.newContainer(e,\"colorbar\"),f=t.colorbar||{};function h(t,e){return n.coerce(f,c,u,t,e)}var p=r.margin||{t:0,b:0,l:0,r:0},d=r.width-p.l-p.r,v=r.height-p.t-p.b,g=\"v\"===h(\"orientation\"),y=h(\"thicknessmode\");h(\"thickness\",\"fraction\"===y?30/(g?d:v):30);var m=h(\"lenmode\");h(\"len\",\"fraction\"===m?1:g?v:d);var x,b,_,w=\"paper\"===h(\"yref\"),T=\"paper\"===h(\"xref\"),k=\"left\";g?(_=\"middle\",k=T?\"left\":\"right\",x=T?1.02:1,b=.5):(_=w?\"bottom\":\"top\",k=\"center\",x=.5,b=w?1.02:1),n.coerce(f,c,{x:{valType:\"number\",min:T?-2:0,max:T?3:1,dflt:x}},\"x\"),n.coerce(f,c,{y:{valType:\"number\",min:w?-2:0,max:w?3:1,dflt:b}},\"y\"),h(\"xanchor\",k),h(\"xpad\"),h(\"yanchor\",_),h(\"ypad\"),n.noneOrAll(f,c,[\"x\",\"y\"]),h(\"outlinecolor\"),h(\"outlinewidth\"),h(\"bordercolor\"),h(\"borderwidth\"),h(\"bgcolor\");var A=n.coerce(f,c,{ticklabelposition:{valType:\"enumerated\",dflt:\"outside\",values:g?[\"outside\",\"inside\",\"outside top\",\"inside top\",\"outside bottom\",\"inside bottom\"]:[\"outside\",\"inside\",\"outside left\",\"inside left\",\"outside right\",\"inside right\"]}},\"ticklabelposition\");h(\"ticklabeloverflow\",-1!==A.indexOf(\"inside\")?\"hide past domain\":\"hide past div\"),a(f,c,h,\"linear\");var M=r.font,S={outerTicks:!1,font:M};-1!==A.indexOf(\"inside\")&&(S.bgColor=\"black\"),l(f,c,h,\"linear\",S),s(f,c,h,\"linear\",S),o(f,c,h,\"linear\",S),h(\"title.text\",r._dfltTitle.colorbar);var E=c.showticklabels?c.tickfont:M,L=n.extendFlat({},E,{color:M.color,size:n.bigFont(E.size)});n.coerceFont(h,\"title.font\",L),h(\"title.side\",g?\"top\":\"right\")}},98981:function(t,e,r){\"use strict\";var n=r(39898),i=r(84267),a=r(74875),o=r(73972),s=r(89298),l=r(28569),u=r(71828),c=u.strTranslate,f=r(1426).extendFlat,h=r(6964),p=r(91424),d=r(7901),v=r(92998),g=r(63893),y=r(52075).flipScale,m=r(71453),x=r(52830),b=r(13838),_=r(18783),w=_.LINE_SPACING,T=_.FROM_TL,k=_.FROM_BR,A=r(30939).cn;t.exports={draw:function(t){var e=t._fullLayout._infolayer.selectAll(\"g.\"+A.colorbar).data(function(t){var e,r,n,i,a=t._fullLayout,o=t.calcdata,s=[];function l(t){return f(t,{_fillcolor:null,_line:{color:null,width:null,dash:null},_levels:{start:null,end:null,size:null},_filllevels:null,_fillgradient:null,_zrange:null})}function u(){\"function\"==typeof i.calc?i.calc(t,n,e):(e._fillgradient=r.reversescale?y(r.colorscale):r.colorscale,e._zrange=[r[i.min],r[i.max]])}for(var c=0;c<o.length;c++){var h=o[c];if((n=h[0].trace)._module){var p=n._module.colorbar;if(!0===n.visible&&p)for(var d=Array.isArray(p),v=d?p:[p],g=0;g<v.length;g++){var m=(i=v[g]).container;(r=m?n[m]:n)&&r.showscale&&((e=l(r.colorbar))._id=\"cb\"+n.uid+(d&&m?\"-\"+m:\"\"),e._traceIndex=n.index,e._propPrefix=(m?m+\".\":\"\")+\"colorbar.\",e._meta=n._meta,u(),s.push(e))}}}for(var x in a._colorAxes)if((r=a[x]).showscale){var b=a._colorAxes[x];(e=l(r.colorbar))._id=\"cb\"+x,e._propPrefix=x+\".colorbar.\",e._meta=a._meta,i={min:\"cmin\",max:\"cmax\"},\"heatmap\"!==b[0]&&(n=b[1],i.calc=n._module.colorbar.calc),u(),s.push(e)}return s}(t),(function(t){return t._id}));e.enter().append(\"g\").attr(\"class\",(function(t){return t._id})).classed(A.colorbar,!0),e.each((function(e){var r=n.select(this);u.ensureSingle(r,\"rect\",A.cbbg),u.ensureSingle(r,\"g\",A.cbfills),u.ensureSingle(r,\"g\",A.cblines),u.ensureSingle(r,\"g\",A.cbaxis,(function(t){t.classed(A.crisp,!0)})),u.ensureSingle(r,\"g\",A.cbtitleunshift,(function(t){t.append(\"g\").classed(A.cbtitle,!0)})),u.ensureSingle(r,\"rect\",A.cboutline);var y=function(t,e,r){var o=\"v\"===e.orientation,l=e.len,h=e.lenmode,y=e.thickness,_=e.thicknessmode,M=e.outlinewidth,S=e.borderwidth,E=e.bgcolor,L=e.xanchor,C=e.yanchor,P=e.xpad,O=e.ypad,I=e.x,D=o?e.y:1-e.y,z=\"paper\"===e.yref,R=\"paper\"===e.xref,F=r._fullLayout,B=F._size,N=e._fillcolor,j=e._line,U=e.title,V=U.side,H=e._zrange||n.extent((\"function\"==typeof N?N:j.color).domain()),q=\"function\"==typeof j.color?j.color:function(){return j.color},G=\"function\"==typeof N?N:function(){return N},Z=e._levels,Y=function(t,e,r){var n,i,a=e._levels,o=[],s=[],l=a.end+a.size/100,u=a.size,c=1.001*r[0]-.001*r[1],f=1.001*r[1]-.001*r[0];for(i=0;i<1e5&&(n=a.start+i*u,!(u>0?n>=l:n<=l));i++)n>c&&n<f&&o.push(n);if(e._fillgradient)s=[0];else if(\"function\"==typeof e._fillcolor){var h=e._filllevels;if(h)for(l=h.end+h.size/100,u=h.size,i=0;i<1e5&&(n=h.start+i*u,!(u>0?n>=l:n<=l));i++)n>r[0]&&n<r[1]&&s.push(n);else(s=o.map((function(t){return t-a.size/2}))).push(s[s.length-1]+a.size)}else e._fillcolor&&\"string\"==typeof e._fillcolor&&(s=[0]);return a.size<0&&(o.reverse(),s.reverse()),{line:o,fill:s}}(0,e,H),W=Y.fill,X=Y.line,J=Math.round(y*(\"fraction\"===_?o?B.w:B.h:1)),K=J/(o?B.w:B.h),$=Math.round(l*(\"fraction\"===h?o?B.h:B.w:1)),Q=$/(o?B.h:B.w),tt=R?B.w:r._fullLayout.width,et=z?B.h:r._fullLayout.height,rt=Math.round(o?I*tt+P:D*et+O),nt={center:.5,right:1}[L]||0,it={top:1,middle:.5}[C]||0,at=o?I-nt*K:D-it*K,ot=o?D-it*Q:I-nt*Q,st=Math.round(o?et*(1-ot):tt*ot);e._lenFrac=Q,e._thickFrac=K,e._uFrac=at,e._vFrac=ot;var lt=e._axis=function(t,e,r){var n=t._fullLayout,i=\"v\"===e.orientation,a={type:\"linear\",range:r,tickmode:e.tickmode,nticks:e.nticks,tick0:e.tick0,dtick:e.dtick,tickvals:e.tickvals,ticktext:e.ticktext,ticks:e.ticks,ticklen:e.ticklen,tickwidth:e.tickwidth,tickcolor:e.tickcolor,showticklabels:e.showticklabels,labelalias:e.labelalias,ticklabelposition:e.ticklabelposition,ticklabeloverflow:e.ticklabeloverflow,ticklabelstep:e.ticklabelstep,tickfont:e.tickfont,tickangle:e.tickangle,tickformat:e.tickformat,exponentformat:e.exponentformat,minexponent:e.minexponent,separatethousands:e.separatethousands,showexponent:e.showexponent,showtickprefix:e.showtickprefix,tickprefix:e.tickprefix,showticksuffix:e.showticksuffix,ticksuffix:e.ticksuffix,title:e.title,showline:!0,anchor:\"free\",side:i?\"right\":\"bottom\",position:1},o=i?\"y\":\"x\",s={type:\"linear\",_id:o+e._id},l={letter:o,font:n.font,noHover:!0,noTickson:!0,noTicklabelmode:!0,noInsideRange:!0,calendar:n.calendar};function c(t,e){return u.coerce(a,s,b,t,e)}return m(a,s,c,l,n),x(a,s,c,l),s}(r,e,H);lt.position=K+(o?I+P/B.w:D+O/B.h);var ut=-1!==[\"top\",\"bottom\"].indexOf(V);if(o&&ut&&(lt.title.side=V,lt.titlex=I+P/B.w,lt.titley=ot+(\"top\"===U.side?Q-O/B.h:O/B.h)),o||ut||(lt.title.side=V,lt.titley=D+O/B.h,lt.titlex=ot+P/B.w),j.color&&\"auto\"===e.tickmode){lt.tickmode=\"linear\",lt.tick0=Z.start;var ct=Z.size,ft=u.constrain($/50,4,15)+1,ht=(H[1]-H[0])/((e.nticks||ft)*ct);if(ht>1){var pt=Math.pow(10,Math.floor(Math.log(ht)/Math.LN10));ct*=pt*u.roundUp(ht/pt,[2,5,10]),(Math.abs(Z.start)/Z.size+1e-6)%1<2e-6&&(lt.tick0=0)}lt.dtick=ct}lt.domain=o?[ot+O/B.h,ot+Q-O/B.h]:[ot+P/B.w,ot+Q-P/B.w],lt.setScale(),t.attr(\"transform\",c(Math.round(B.l),Math.round(B.t)));var dt,vt=t.select(\".\"+A.cbtitleunshift).attr(\"transform\",c(-Math.round(B.l),-Math.round(B.t))),gt=lt.ticklabelposition,yt=lt.title.font.size,mt=t.select(\".\"+A.cbaxis),xt=0,bt=0;function _t(n,i){var a={propContainer:lt,propName:e._propPrefix+\"title\",traceIndex:e._traceIndex,_meta:e._meta,placeholder:F._dfltTitle.colorbar,containerGroup:t.select(\".\"+A.cbtitle)},o=\"h\"===n.charAt(0)?n.substr(1):\"h\"+n;t.selectAll(\".\"+o+\",.\"+o+\"-math-group\").remove(),v.draw(r,n,f(a,i||{}))}return u.syncOrAsync([a.previousPromises,function(){var t,e;(o&&ut||!o&&!ut)&&(\"top\"===V&&(t=P+B.l+tt*I,e=O+B.t+et*(1-ot-Q)+3+.75*yt),\"bottom\"===V&&(t=P+B.l+tt*I,e=O+B.t+et*(1-ot)-3-.25*yt),\"right\"===V&&(e=O+B.t+et*D+3+.75*yt,t=P+B.l+tt*ot),_t(lt._id+\"title\",{attributes:{x:t,y:e,\"text-anchor\":o?\"start\":\"middle\"}}))},function(){if(!o&&!ut||o&&ut){var a,l=t.select(\".\"+A.cbtitle),f=l.select(\"text\"),h=[-M/2,M/2],d=l.select(\".h\"+lt._id+\"title-math-group\").node(),v=15.6;if(f.node()&&(v=parseInt(f.node().style.fontSize,10)*w),d?(a=p.bBox(d),bt=a.width,(xt=a.height)>v&&(h[1]-=(xt-v)/2)):f.node()&&!f.classed(A.jsPlaceholder)&&(a=p.bBox(f.node()),bt=a.width,xt=a.height),o){if(xt){if(xt+=5,\"top\"===V)lt.domain[1]-=xt/B.h,h[1]*=-1;else{lt.domain[0]+=xt/B.h;var y=g.lineCount(f);h[1]+=(1-y)*v}l.attr(\"transform\",c(h[0],h[1])),lt.setScale()}}else bt&&(\"right\"===V&&(lt.domain[0]+=(bt+yt/2)/B.w),l.attr(\"transform\",c(h[0],h[1])),lt.setScale())}t.selectAll(\".\"+A.cbfills+\",.\"+A.cblines).attr(\"transform\",o?c(0,Math.round(B.h*(1-lt.domain[1]))):c(Math.round(B.w*lt.domain[0]),0)),mt.attr(\"transform\",o?c(0,Math.round(-B.t)):c(Math.round(-B.l),0));var m=t.select(\".\"+A.cbfills).selectAll(\"rect.\"+A.cbfill).attr(\"style\",\"\").data(W);m.enter().append(\"rect\").classed(A.cbfill,!0).attr(\"style\",\"\"),m.exit().remove();var x=H.map(lt.c2p).map(Math.round).sort((function(t,e){return t-e}));m.each((function(t,a){var s=[0===a?H[0]:(W[a]+W[a-1])/2,a===W.length-1?H[1]:(W[a]+W[a+1])/2].map(lt.c2p).map(Math.round);o&&(s[1]=u.constrain(s[1]+(s[1]>s[0])?1:-1,x[0],x[1]));var l=n.select(this).attr(o?\"x\":\"y\",rt).attr(o?\"y\":\"x\",n.min(s)).attr(o?\"width\":\"height\",Math.max(J,2)).attr(o?\"height\":\"width\",Math.max(n.max(s)-n.min(s),2));if(e._fillgradient)p.gradient(l,r,e._id,o?\"vertical\":\"horizontalreversed\",e._fillgradient,\"fill\");else{var c=G(t).replace(\"e-\",\"\");l.attr(\"fill\",i(c).toHexString())}}));var b=t.select(\".\"+A.cblines).selectAll(\"path.\"+A.cbline).data(j.color&&j.width?X:[]);b.enter().append(\"path\").classed(A.cbline,!0),b.exit().remove(),b.each((function(t){var e=rt,r=Math.round(lt.c2p(t))+j.width/2%1;n.select(this).attr(\"d\",\"M\"+(o?e+\",\"+r:r+\",\"+e)+(o?\"h\":\"v\")+J).call(p.lineGroupStyle,j.width,q(t),j.dash)})),mt.selectAll(\"g.\"+lt._id+\"tick,path\").remove();var _=rt+J+(M||0)/2-(\"outside\"===e.ticks?1:0),T=s.calcTicks(lt),k=s.getTickSigns(lt)[2];return s.drawTicks(r,lt,{vals:\"inside\"===lt.ticks?s.clipEnds(lt,T):T,layer:mt,path:s.makeTickPath(lt,_,k),transFn:s.makeTransTickFn(lt)}),s.drawLabels(r,lt,{vals:T,layer:mt,transFn:s.makeTransTickLabelFn(lt),labelFns:s.makeLabelFns(lt,_)})},function(){if(o&&!ut||!o&&ut){var t,i,a=lt.position||0,s=lt._offset+lt._length/2;if(\"right\"===V)i=s,t=B.l+tt*a+10+yt*(lt.showticklabels?1:.5);else if(t=s,\"bottom\"===V&&(i=B.t+et*a+10+(-1===gt.indexOf(\"inside\")?lt.tickfont.size:0)+(\"intside\"!==lt.ticks&&e.ticklen||0)),\"top\"===V){var l=U.text.split(\"<br>\").length;i=B.t+et*a+10-J-w*yt*l}_t((o?\"h\":\"v\")+lt._id+\"title\",{avoid:{selection:n.select(r).selectAll(\"g.\"+lt._id+\"tick\"),side:V,offsetTop:o?0:B.t,offsetLeft:o?B.l:0,maxShift:o?F.width:F.height},attributes:{x:t,y:i,\"text-anchor\":\"middle\"},transform:{rotate:o?-90:0,offset:0}})}},a.previousPromises,function(){var n,s=J+M/2;-1===gt.indexOf(\"inside\")&&(n=p.bBox(mt.node()),s+=o?n.width:n.height),dt=vt.select(\"text\");var u=0,f=o&&\"top\"===V,v=!o&&\"right\"===V,g=0;if(dt.node()&&!dt.classed(A.jsPlaceholder)){var m,x=vt.select(\".h\"+lt._id+\"title-math-group\").node();x&&(o&&ut||!o&&!ut)?(u=(n=p.bBox(x)).width,m=n.height):(u=(n=p.bBox(vt.node())).right-B.l-(o?rt:st),m=n.bottom-B.t-(o?st:rt),o||\"top\"!==V||(s+=n.height,g=n.height)),v&&(dt.attr(\"transform\",c(u/2+yt/2,0)),u*=2),s=Math.max(s,o?u:m)}var b=2*(o?P:O)+s+S+M/2,w=0;!o&&U.text&&\"bottom\"===C&&D<=0&&(b+=w=b/2,g+=w),F._hColorbarMoveTitle=w,F._hColorbarMoveCBTitle=g;var N=S+M,j=(o?rt:st)-N/2-(o?P:0),H=(o?st:rt)-(o?$:O+g-w);t.select(\".\"+A.cbbg).attr(\"x\",j).attr(\"y\",H).attr(o?\"width\":\"height\",Math.max(b-w,2)).attr(o?\"height\":\"width\",Math.max($+N,2)).call(d.fill,E).call(d.stroke,e.bordercolor).style(\"stroke-width\",S);var 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y=n.select(this).selectAll(\"g.errorbar\").data(e,h);if(y.exit().remove(),e.length){d.visible||y.selectAll(\"path.xerror\").remove(),v.visible||y.selectAll(\"path.yerror\").remove(),y.style(\"opacity\",1);var m=y.enter().append(\"g\").classed(\"errorbar\",!0);c&&m.style(\"opacity\",0).transition().duration(s.duration).style(\"opacity\",1),a.setClipUrl(y,r.layerClipId,t),y.each((function(t){var e=n.select(this),r=function(t,e,r){var n={x:e.c2p(t.x),y:r.c2p(t.y)};return void 0!==t.yh&&(n.yh=r.c2p(t.yh),n.ys=r.c2p(t.ys),i(n.ys)||(n.noYS=!0,n.ys=r.c2p(t.ys,!0))),void 0!==t.xh&&(n.xh=e.c2p(t.xh),n.xs=e.c2p(t.xs),i(n.xs)||(n.noXS=!0,n.xs=e.c2p(t.xs,!0))),n}(t,l,u);if(!g||t.vis){var a,o=e.select(\"path.yerror\");if(v.visible&&i(r.x)&&i(r.yh)&&i(r.ys)){var h=v.width;a=\"M\"+(r.x-h)+\",\"+r.yh+\"h\"+2*h+\"m-\"+h+\",0V\"+r.ys,r.noYS||(a+=\"m-\"+h+\",0h\"+2*h),o.size()?c&&(o=o.transition().duration(s.duration).ease(s.easing)):o=e.append(\"path\").style(\"vector-effect\",f?\"none\":\"non-scaling-stroke\").classed(\"yerror\",!0),o.attr(\"d\",a)}else o.remove();var p=e.select(\"path.xerror\");if(d.visible&&i(r.y)&&i(r.xh)&&i(r.xs)){var y=(d.copy_ystyle?v:d).width;a=\"M\"+r.xh+\",\"+(r.y-y)+\"v\"+2*y+\"m0,-\"+y+\"H\"+r.xs,r.noXS||(a+=\"m0,-\"+y+\"v\"+2*y),p.size()?c&&(p=p.transition().duration(s.duration).ease(s.easing)):p=e.append(\"path\").style(\"vector-effect\",f?\"none\":\"non-scaling-stroke\").classed(\"xerror\",!0),p.attr(\"d\",a)}else p.remove()}}))}}))}},62662:function(t,e,r){\"use strict\";var n=r(39898),i=r(7901);t.exports=function(t){t.each((function(t){var e=t[0].trace,r=e.error_y||{},a=e.error_x||{},o=n.select(this);o.selectAll(\"path.yerror\").style(\"stroke-width\",r.thickness+\"px\").call(i.stroke,r.color),a.copy_ystyle&&(a=r),o.selectAll(\"path.xerror\").style(\"stroke-width\",a.thickness+\"px\").call(i.stroke,a.color)}))}},77914:function(t,e,r){\"use strict\";var n=r(41940),i=r(528).hoverlabel,a=r(1426).extendFlat;t.exports={hoverlabel:{bgcolor:a({},i.bgcolor,{arrayOk:!0}),bordercolor:a({},i.bordercolor,{arrayOk:!0}),font:n({arrayOk:!0,editType:\"none\"}),align:a({},i.align,{arrayOk:!0}),namelength:a({},i.namelength,{arrayOk:!0}),editType:\"none\"}}},30732:function(t,e,r){\"use strict\";var n=r(71828),i=r(73972);function a(t,e,r,i){i=i||n.identity,Array.isArray(t)&&(e[0][r]=i(t))}t.exports=function(t){var e=t.calcdata,r=t._fullLayout;function o(t){return function(e){return n.coerceHoverinfo({hoverinfo:e},{_module:t._module},r)}}for(var s=0;s<e.length;s++){var l=e[s],u=l[0].trace;if(!i.traceIs(u,\"pie-like\")){var c=i.traceIs(u,\"2dMap\")?a:n.fillArray;c(u.hoverinfo,l,\"hi\",o(u)),u.hovertemplate&&c(u.hovertemplate,l,\"ht\"),u.hoverlabel&&(c(u.hoverlabel.bgcolor,l,\"hbg\"),c(u.hoverlabel.bordercolor,l,\"hbc\"),c(u.hoverlabel.font.size,l,\"hts\"),c(u.hoverlabel.font.color,l,\"htc\"),c(u.hoverlabel.font.family,l,\"htf\"),c(u.hoverlabel.namelength,l,\"hnl\"),c(u.hoverlabel.align,l,\"hta\"))}}}},75914:function(t,e,r){\"use strict\";var n=r(73972),i=r(88335).hover;t.exports=function(t,e,r){var a=n.getComponentMethod(\"annotations\",\"onClick\")(t,t._hoverdata);function o(){t.emit(\"plotly_click\",{points:t._hoverdata,event:e})}void 0!==r&&i(t,e,r,!0),t._hoverdata&&e&&e.target&&(a&&a.then?a.then(o):o(),e.stopImmediatePropagation&&e.stopImmediatePropagation())}},26675:function(t){\"use strict\";t.exports={YANGLE:60,HOVERARROWSIZE:6,HOVERTEXTPAD:3,HOVERFONTSIZE:13,HOVERFONT:\"Arial, sans-serif\",HOVERMINTIME:50,HOVERID:\"-hover\"}},54268:function(t,e,r){\"use strict\";var n=r(71828),i=r(77914),a=r(38048);t.exports=function(t,e,r,o){var s=n.extendFlat({},o.hoverlabel);e.hovertemplate&&(s.namelength=-1),a(t,e,(function(r,a){return n.coerce(t,e,i,r,a)}),s)}},23469:function(t,e,r){\"use strict\";var n=r(71828);e.getSubplot=function(t){return t.subplot||t.xaxis+t.yaxis||t.geo},e.isTraceInSubplots=function(t,r){if(\"splom\"===t.type){for(var n=t.xaxes||[],i=t.yaxes||[],a=0;a<n.length;a++)for(var o=0;o<i.length;o++)if(-1!==r.indexOf(n[a]+i[o]))return!0;return!1}return-1!==r.indexOf(e.getSubplot(t))},e.flat=function(t,e){for(var r=new Array(t.length),n=0;n<t.length;n++)r[n]=e;return r},e.p2c=function(t,e){for(var r=new Array(t.length),n=0;n<t.length;n++)r[n]=t[n].p2c(e);return r},e.getDistanceFunction=function(t,r,n,i){return\"closest\"===t?i||e.quadrature(r,n):\"x\"===t.charAt(0)?r:n},e.getClosest=function(t,e,r){if(!1!==r.index)r.index>=0&&r.index<t.length?r.distance=0:r.index=!1;else for(var n=0;n<t.length;n++){var 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n=r(39898),i=r(92770),a=r(84267),o=r(71828),s=o.strTranslate,l=o.strRotate,u=r(11086),c=r(63893),f=r(39918),h=r(91424),p=r(7901),d=r(28569),v=r(89298),g=r(73972),y=r(23469),m=r(26675),x=r(99017),b=r(43969),_=m.YANGLE,w=Math.PI*_/180,T=1/Math.sin(w),k=Math.cos(w),A=Math.sin(w),M=m.HOVERARROWSIZE,S=m.HOVERTEXTPAD,E={box:!0,ohlc:!0,violin:!0,candlestick:!0},L={scatter:!0,scattergl:!0,splom:!0};function C(t){return[t.trace.index,t.index,t.x0,t.y0,t.name,t.attr,t.xa?t.xa._id:\"\",t.ya?t.ya._id:\"\"].join(\",\")}e.hover=function(t,e,r,a){t=o.getGraphDiv(t);var s=e.target;o.throttle(t._fullLayout._uid+m.HOVERID,m.HOVERMINTIME,(function(){!function(t,e,r,a,s){r||(r=\"xy\");var l=Array.isArray(r)?r:[r],c=t._fullLayout,h=c._plots||[],v=h[r],m=c._has(\"cartesian\");if(v){var x=v.overlays.map((function(t){return t.id}));l=l.concat(x)}for(var b=l.length,_=new Array(b),w=new Array(b),k=!1,A=0;A<b;A++){var S=l[A];if(h[S])k=!0,_[A]=h[S].xaxis,w[A]=h[S].yaxis;else{if(!c[S]||!c[S]._subplot)return void 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t.distance-e.distance})),nt=function(t,e){for(var r=e.charAt(0),n=[],i=[],a=[],o=0;o<t.length;o++){var s=t[o];g.traceIs(s.trace,\"bar-like\")||g.traceIs(s.trace,\"box-violin\")?a.push(s):s.trace[r+\"period\"]?i.push(s):n.push(s)}return n.concat(i).concat(a)}(nt,I)};mt();var xt=I.charAt(0),bt=(\"x\"===xt||\"y\"===xt)&&nt[0]&&L[nt[0].trace.type];if(m&&0!==H&&0!==nt.length){var _t=pt(nt.filter((function(t){return t.ya.showspikes})),H,bt);at.hLinePoint=dt(_t);var wt=pt(nt.filter((function(t){return t.xa.showspikes})),H,bt);at.vLinePoint=dt(wt)}if(0===nt.length){var Tt=d.unhoverRaw(t,e);return!m||null===at.hLinePoint&&null===at.vLinePoint||B(gt)&&F(t,at,vt),Tt}if(m&&B(gt)&&F(t,at,vt),y.isXYhover($)&&0!==nt[0].length&&\"splom\"!==nt[0].trace.type){var kt=nt[0],At=(nt=E[kt.trace.type]?nt.filter((function(t){return t.trace.index===kt.trace.index})):[kt]).length;ht(j(\"x\",kt,c),j(\"y\",kt,c));var Mt,St=[],Et={},Lt=0,Ct=function(t){var e=E[t.trace.type]?C(t):t.trace.index;if(Et[e]){var r=Et[e]-1,n=St[r];r>0&&Math.abs(t.distance)<Math.abs(n.distance)&&(St[r]=t)}else Lt++,Et[e]=Lt,St.push(t)};for(Mt=0;Mt<At;Mt++)Ct(nt[Mt]);for(Mt=nt.length-1;Mt>At-1;Mt--)Ct(nt[Mt]);nt=St,mt()}var Pt=t._hoverdata,Ot=[],It=U(t),Dt=V(t);for(Z=0;Z<nt.length;Z++){var zt=nt[Z],Rt=y.makeEventData(zt,zt.trace,zt.cd);if(!1!==zt.hovertemplate){var Ft=!1;zt.cd[zt.index]&&zt.cd[zt.index].ht&&(Ft=zt.cd[zt.index].ht),zt.hovertemplate=Ft||zt.trace.hovertemplate||!1}if(zt.xa&&zt.ya){var Bt=zt.x0+zt.xa._offset,Nt=zt.x1+zt.xa._offset,jt=zt.y0+zt.ya._offset,Ut=zt.y1+zt.ya._offset,Vt=Math.min(Bt,Nt),Ht=Math.max(Bt,Nt),qt=Math.min(jt,Ut),Gt=Math.max(jt,Ut);Rt.bbox={x0:Vt+Dt,x1:Ht+Dt,y0:qt+It,y1:Gt+It}}zt.eventData=[Rt],Ot.push(Rt)}t._hoverdata=Ot;var 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r=n.select(this);if(this._imgSrc!==e.source)if(r.attr(\"xmlns\",s.svg),e.source&&\"data:\"===e.source.slice(0,5))r.attr(\"xlink:href\",e.source),this._imgSrc=e.source;else{var i=new Promise(function(t){var n=new Image;function i(){r.remove(),t()}this.img=n,n.setAttribute(\"crossOrigin\",\"anonymous\"),n.onerror=i,n.onload=function(){var e=document.createElement(\"canvas\");e.width=this.width,e.height=this.height,e.getContext(\"2d\",{willReadFrequently:!0}).drawImage(this,0,0);var n=e.toDataURL(\"image/png\");r.attr(\"xlink:href\",n),t()},r.on(\"error\",i),n.src=e.source,this._imgSrc=e.source}.bind(this));t._promises.push(i)}}function y(e){var r,o,s=n.select(this),u=a.getFromId(t,e.xref),c=a.getFromId(t,e.yref),f=\"domain\"===a.getRefType(e.xref),h=\"domain\"===a.getRefType(e.yref),p=l._size;r=void 0!==u?\"string\"==typeof e.xref&&f?u._length*e.sizex:Math.abs(u.l2p(e.sizex)-u.l2p(0)):e.sizex*p.w,o=void 0!==c?\"string\"==typeof 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b=Object.keys(l._plots);for(r=0;r<b.length;r++){e=b[r];var _=l._plots[e];if(_.imagelayer){var w=_.imagelayer.selectAll(\"image\").data(c[e]||[]);w.enter().append(\"image\"),w.exit().remove(),w.each((function(t){g.bind(this)(t),y.bind(this)(t)}))}}}},68804:function(t,e,r){\"use strict\";t.exports={moduleType:\"component\",name:\"images\",layoutAttributes:r(69819),supplyLayoutDefaults:r(81603),includeBasePlot:r(76325)(\"images\"),draw:r(80750),convertCoords:r(75378)}},33030:function(t,e,r){\"use strict\";var n=r(41940),i=r(22399);t.exports={_isSubplotObj:!0,visible:{valType:\"boolean\",dflt:!0,editType:\"legend\"},bgcolor:{valType:\"color\",editType:\"legend\"},bordercolor:{valType:\"color\",dflt:i.defaultLine,editType:\"legend\"},borderwidth:{valType:\"number\",min:0,dflt:0,editType:\"legend\"},font:n({editType:\"legend\"}),grouptitlefont:n({editType:\"legend\"}),orientation:{valType:\"enumerated\",values:[\"v\",\"h\"],dflt:\"v\",editType:\"legend\"},traceorder:{valType:\"flaglist\",flags:[\"reversed\",\"grouped\"],extras:[\"normal\"],editType:\"legend\"},tracegroupgap:{valType:\"number\",min:0,dflt:10,editType:\"legend\"},entrywidth:{valType:\"number\",min:0,editType:\"legend\"},entrywidthmode:{valType:\"enumerated\",values:[\"fraction\",\"pixels\"],dflt:\"pixels\",editType:\"legend\"},itemsizing:{valType:\"enumerated\",values:[\"trace\",\"constant\"],dflt:\"trace\",editType:\"legend\"},itemwidth:{valType:\"number\",min:30,dflt:30,editType:\"legend\"},itemclick:{valType:\"enumerated\",values:[\"toggle\",\"toggleothers\",!1],dflt:\"toggle\",editType:\"legend\"},itemdoubleclick:{valType:\"enumerated\",values:[\"toggle\",\"toggleothers\",!1],dflt:\"toggleothers\",editType:\"legend\"},groupclick:{valType:\"enumerated\",values:[\"toggleitem\",\"togglegroup\"],dflt:\"togglegroup\",editType:\"legend\"},x:{valType:\"number\",editType:\"legend\"},xref:{valType:\"enumerated\",dflt:\"paper\",values:[\"container\",\"paper\"],editType:\"layoutstyle\"},xanchor:{valType:\"enumerated\",values:[\"auto\",\"left\",\"center\",\"right\"],dflt:\"left\",editType:\"legend\"},y:{valType:\"number\",editType:\"legend\"},yref:{valType:\"enumerated\",dflt:\"paper\",values:[\"container\",\"paper\"],editType:\"layoutstyle\"},yanchor:{valType:\"enumerated\",values:[\"auto\",\"top\",\"middle\",\"bottom\"],editType:\"legend\"},uirevision:{valType:\"any\",editType:\"none\"},valign:{valType:\"enumerated\",values:[\"top\",\"middle\",\"bottom\"],dflt:\"middle\",editType:\"legend\"},title:{text:{valType:\"string\",dflt:\"\",editType:\"legend\"},font:n({editType:\"legend\"}),side:{valType:\"enumerated\",values:[\"top\",\"left\",\"top 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A=v._isShape;(v.showlegend||v._dfltShowLegend&&!(v._module&&v._module.attributes&&v._module.attributes.showlegend&&!1===v._module.attributes.showlegend.dflt))&&(x++,v.showlegend&&(b=!0,(!A&&n.traceIs(v,\"pie-like\")||!0===v._input.showlegend)&&x++),i.coerceFont(g,\"legendgrouptitle.font\",m)),(!A&&n.traceIs(v,\"bar\")&&\"stack\"===r.barmode||-1!==[\"tonextx\",\"tonexty\"].indexOf(v.fill))&&(_=u.isGrouped({traceorder:_})?\"grouped+reversed\":\"reversed\"),void 0!==v.legendgroup&&\"\"!==v.legendgroup&&(_=u.isReversed({traceorder:_})?\"reversed+grouped\":\"grouped\")}var M=i.coerce(e,r,l,\"showlegend\",b&&x>(\"legend\"===t?1:0));if(!1===M&&(r[t]=void 0),(!1!==M||f.uirevision)&&(p(\"uirevision\",r.uirevision),!1!==M)){p(\"borderwidth\");var S,E,L,C=\"h\"===p(\"orientation\"),P=\"paper\"===p(\"yref\"),O=\"paper\"===p(\"xref\"),I=\"left\";if(C?(S=0,n.getComponentMethod(\"rangeslider\",\"isVisible\")(e.xaxis)?P?(E=1.1,L=\"bottom\"):(E=1,L=\"top\"):P?(E=-.1,L=\"top\"):(E=0,L=\"bottom\")):(E=1,L=\"auto\",O?S=1.02:(S=1,I=\"right\")),i.coerce(f,h,{x:{valType:\"number\",editType:\"legend\",min:O?-2:0,max:O?3:1,dflt:S}},\"x\"),i.coerce(f,h,{y:{valType:\"number\",editType:\"legend\",min:P?-2:0,max:P?3:1,dflt:E}},\"y\"),p(\"traceorder\",_),u.isGrouped(r[t])&&p(\"tracegroupgap\"),p(\"entrywidth\"),p(\"entrywidthmode\"),p(\"itemsizing\"),p(\"itemwidth\"),p(\"itemclick\"),p(\"itemdoubleclick\"),p(\"groupclick\"),p(\"xanchor\",I),p(\"yanchor\",L),p(\"valign\"),i.noneOrAll(f,h,[\"x\",\"y\"]),p(\"title.text\")){p(\"title.side\",C?\"left\":\"top\");var D=i.extendFlat({},d,{size:i.bigFont(d.size)});i.coerceFont(p,\"title.font\",D)}}}}t.exports=function(t,e,r){var n,a=r.slice(),o=e.shapes;if(o)for(n=0;n<o.length;n++){var s=o[n];if(s.showlegend){var l={_input:s._input,visible:s.visible,showlegend:s.showlegend,legend:s.legend};a.push(l)}}var u=[\"legend\"];for(n=0;n<a.length;n++)i.pushUnique(u,a[n].legend);for(e._legends=[],n=0;n<u.length;n++){var f=u[n];c(f,t,e,a),e[f]&&e[f].visible&&(e[f]._id=f),e._legends.push(f)}}},43969:function(t,e,r){\"use strict\";var n=r(39898),i=r(71828),a=r(74875),o=r(73972),s=r(11086),l=r(28569),u=r(91424),c=r(7901),f=r(63893),h=r(85167),p=r(14928),d=r(18783),v=d.LINE_SPACING,g=d.FROM_TL,y=d.FROM_BR,m=r(82424),x=r(53630),b=r(10130),_=1,w=/^legend[0-9]*$/;function T(t,e){var r,s,h=e||{},d=t._fullLayout,w=O(h),T=h._inHover;if(T?(s=h.layer,r=\"hover\"):(s=d._infolayer,r=w),s){var S;if(r+=d._uid,t._legendMouseDownTime||(t._legendMouseDownTime=0),T){if(!h.entries)return;S=m(h.entries,h)}else{for(var I=(t.calcdata||[]).slice(),D=d.shapes,z=0;z<D.length;z++){var R=D[z];if(R.showlegend){var F={_isShape:!0,_fullInput:R,index:R._index,name:R.name||R.label.text||\"shape 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V,H=i.ensureSingle(N,\"g\",\"scrollbox\"),q=h.title;h._titleWidth=0,h._titleHeight=0,q.text?((V=i.ensureSingle(H,\"text\",w+\"titletext\")).attr(\"text-anchor\",\"start\").call(u.font,q.font).text(q.text),L(V,H,t,h,_)):H.selectAll(\".\"+w+\"titletext\").remove();var G=i.ensureSingle(N,\"rect\",\"scrollbar\",(function(t){t.attr(p.scrollBarEnterAttrs).call(c.fill,p.scrollBarColor)})),Z=H.selectAll(\"g.groups\").data(S);Z.enter().append(\"g\").attr(\"class\",\"groups\"),Z.exit().remove();var Y=Z.selectAll(\"g.traces\").data(i.identity);Y.enter().append(\"g\").attr(\"class\",\"traces\"),Y.exit().remove(),Y.style(\"opacity\",(function(t){var e=t[0].trace;return o.traceIs(e,\"pie-like\")?-1!==B.indexOf(t[0].label)?.5:1:\"legendonly\"===e.visible?.5:1})).each((function(){n.select(this).call(M,t,h)})).call(x,t,h).each((function(){T||n.select(this).call(E,t,w)})),i.syncOrAsync([a.previousPromises,function(){return function(t,e,r,i){var a=t._fullLayout,o=O(i);i||(i=a[o]);var 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n,a,s=O(r),l=t.data()[0][0],c=l.trace,h=o.traceIs(c,\"pie-like\"),d=!r._inHover&&e._context.edits.legendText&&!h,v=r._maxNameLength;l.groupTitle?(n=l.groupTitle.text,a=l.groupTitle.font):(a=r.font,r.entries?n=l.text:(n=h?l.label:c.name,c._meta&&(n=i.templateString(n,c._meta))));var g=i.ensureSingle(t,\"text\",s+\"text\");g.attr(\"text-anchor\",\"start\").call(u.font,a).text(d?S(n,v):n);var y=r.itemwidth+2*p.itemGap;f.positionText(g,y,0),d?g.call(f.makeEditable,{gd:e,text:n}).call(L,t,e,r).on(\"edit\",(function(n){this.text(S(n,v)).call(L,t,e,r);var a=l.trace._fullInput||{},s={};if(o.hasTransform(a,\"groupby\")){var u=o.getTransformIndices(a,\"groupby\"),f=u[u.length-1],h=i.keyedContainer(a,\"transforms[\"+f+\"].styles\",\"target\",\"value.name\");h.set(l.trace._group,n),s=h.constructUpdate()}else s.name=n;return a._isShape?o.call(\"_guiRelayout\",e,\"shapes[\"+c.index+\"].name\",s.name):o.call(\"_guiRestyle\",e,s,c.index)})):L(g,t,e,r)}function S(t,e){var 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t=n.select(this),e=t.attr(\"class\").split(\" \")[0];e.match(w)&&-1===i.indexOf(e)&&t.remove()}));for(var a=0;a<i.length;a++){var o=i[a];T(t,t._fullLayout[o])}}}},82424:function(t,e,r){\"use strict\";var n=r(73972),i=r(10130);t.exports=function(t,e,r){var a,o,s=e._inHover,l=i.isGrouped(e),u=i.isReversed(e),c={},f=[],h=!1,p={},d=0,v=0;function g(t,n,a){if(!1!==e.visible&&(!r||t===e._id))if(\"\"!==n&&i.isGrouped(e))-1===f.indexOf(n)?(f.push(n),h=!0,c[n]=[a]):c[n].push(a);else{var o=\"~~i\"+d;f.push(o),c[o]=[a],d++}}for(a=0;a<t.length;a++){var y=t[a],m=y[0],x=m.trace,b=x.legend,_=x.legendgroup;if(s||x.visible&&x.showlegend)if(n.traceIs(x,\"pie-like\"))for(p[_]||(p[_]={}),o=0;o<y.length;o++){var w=y[o].label;p[_][w]||(g(b,_,{label:w,color:y[o].color,i:y[o].i,trace:x,pts:y[o].pts}),p[_][w]=!0,v=Math.max(v,(w||\"\").length))}else g(b,_,m),v=Math.max(v,(x.name||\"\").length)}if(!f.length)return[];var T=!h||!l,k=[];for(a=0;a<f.length;a++){var A=c[f[a]];T?k.push(A[0]):k.push(A)}for(T&&(k=[k]),a=0;a<k.length;a++){var M=1/0;for(o=0;o<k[a].length;o++){var S=k[a][o].trace.legendrank;M>S&&(M=S)}k[a][0]._groupMinRank=M,k[a][0]._preGroupSort=a}var E=function(t,e){return t.trace.legendrank-e.trace.legendrank||t._preSort-e._preSort};for(k.forEach((function(t,e){t[0]._preGroupSort=e})),k.sort((function(t,e){return t[0]._groupMinRank-e[0]._groupMinRank||t[0]._preGroupSort-e[0]._preGroupSort})),a=0;a<k.length;a++){k[a].forEach((function(t,e){t._preSort=e})),k[a].sort(E);var L=k[a][0].trace,C=null;for(o=0;o<k[a].length;o++){var P=k[a][o].trace.legendgrouptitle;if(P&&P.text){C=P,s&&(P.font=e._groupTitleFont);break}}if(u&&k[a].reverse(),C){var O=!1;for(o=0;o<k[a].length;o++)if(n.traceIs(k[a][o].trace,\"pie-like\")){O=!0;break}k[a].unshift({i:-1,groupTitle:C,noClick:O,trace:{showlegend:L.showlegend,legendgroup:L.legendgroup,visible:\"toggleitem\"===e.groupclick||L.visible}})}for(o=0;o<k[a].length;o++)k[a][o]=[k[a][o]]}return e._lgroupsLength=k.length,e._maxNameLength=v,k}},85167:function(t,e,r){\"use strict\";var n=r(73972),i=r(71828),a=i.pushUnique,o=!0;t.exports=function(t,e,r){var s=e._fullLayout;if(!e._dragged&&!e._editing){var l,u=s.legend.itemclick,c=s.legend.itemdoubleclick,f=s.legend.groupclick;if(1===r&&\"toggle\"===u&&\"toggleothers\"===c&&o&&e.data&&e._context.showTips?(i.notifier(i._(e,\"Double-click on legend to isolate one trace\"),\"long\"),o=!1):o=!1,1===r?l=u:2===r&&(l=c),l){var h=\"togglegroup\"===f,p=s.hiddenlabels?s.hiddenlabels.slice():[],d=t.data()[0][0];if(!d.groupTitle||!d.noClick){var v=e._fullData,g=(s.shapes||[]).filter((function(t){return t.showlegend})),y=v.concat(g),m=d.trace;m._isShape&&(m=m._fullInput);var x,b,_,w,T,k=m.legendgroup,A={},M=[],S=[],E=[],L=(s.shapes||[]).map((function(t){return t._input})),C=!1,P=m.legend,O=m._fullInput;if(O&&O._isShape||!n.traceIs(m,\"pie-like\")){var I,D=k&&k.length,z=[];if(D)for(x=0;x<y.length;x++)(I=y[x]).visible&&I.legendgroup===k&&z.push(x);if(\"toggle\"===l){var R;switch(m.visible){case!0:R=\"legendonly\";break;case!1:R=!1;break;case\"legendonly\":R=!0}if(D)if(h)for(x=0;x<y.length;x++){var F=y[x];!1!==F.visible&&F.legendgroup===k&&tt(F,R)}else tt(m,R);else tt(m,R)}else if(\"toggleothers\"===l){var B,N,j,U,V=!0;for(x=0;x<y.length;x++)if(B=(U=y[x])===m,N=!0!==U.showlegend,!(B||N||D&&U.legendgroup===k||U.legend!==P||!0!==U.visible||n.traceIs(U,\"notLegendIsolatable\"))){V=!1;break}for(x=0;x<y.length;x++)if(!1!==(U=y[x]).visible&&U.legend===P&&!n.traceIs(U,\"notLegendIsolatable\"))switch(m.visible){case\"legendonly\":tt(U,!0);break;case!0:j=!!V||\"legendonly\",B=U===m,N=!0!==U.showlegend&&!U.legendgroup,tt(U,!!(B||D&&U.legendgroup===k||N)||j)}}for(x=0;x<S.length;x++)if(_=S[x]){var 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rotation\")},attr:\"scene.dragmode\",val:\"orbit\",icon:o[\"3d_rotate\"],click:h},c.tableRotation={name:\"tableRotation\",title:function(t){return u(t,\"Turntable rotation\")},attr:\"scene.dragmode\",val:\"turntable\",icon:o[\"z-axis\"],click:h},c.resetCameraDefault3d={name:\"resetCameraDefault3d\",_cat:\"resetCameraDefault\",title:function(t){return u(t,\"Reset camera to default\")},attr:\"resetDefault\",icon:o.home,click:p},c.resetCameraLastSave3d={name:\"resetCameraLastSave3d\",_cat:\"resetCameraLastSave\",title:function(t){return u(t,\"Reset camera to last save\")},attr:\"resetLastSave\",icon:o.movie,click:p},c.hoverClosest3d={name:\"hoverClosest3d\",_cat:\"hoverclosest\",title:function(t){return u(t,\"Toggle show closest data on hover\")},attr:\"hovermode\",val:null,toggle:!0,icon:o.tooltip_basic,gravity:\"ne\",click:function(t,e){var r=d(t,e);n.call(\"_guiRelayout\",t,r)}},c.zoomInGeo={name:\"zoomInGeo\",_cat:\"zoomin\",title:function(t){return u(t,\"Zoom in\")},attr:\"zoom\",val:\"in\",icon:o.zoom_plus,click:v},c.zoomOutGeo={name:\"zoomOutGeo\",_cat:\"zoomout\",title:function(t){return u(t,\"Zoom out\")},attr:\"zoom\",val:\"out\",icon:o.zoom_minus,click:v},c.resetGeo={name:\"resetGeo\",_cat:\"reset\",title:function(t){return u(t,\"Reset\")},attr:\"reset\",val:null,icon:o.autoscale,click:v},c.hoverClosestGeo={name:\"hoverClosestGeo\",_cat:\"hoverclosest\",title:function(t){return u(t,\"Toggle show closest data on hover\")},attr:\"hovermode\",val:null,toggle:!0,icon:o.tooltip_basic,gravity:\"ne\",click:y},c.hoverClosestGl2d={name:\"hoverClosestGl2d\",_cat:\"hoverclosest\",title:function(t){return u(t,\"Toggle show closest data on hover\")},attr:\"hovermode\",val:null,toggle:!0,icon:o.tooltip_basic,gravity:\"ne\",click:y},c.hoverClosestPie={name:\"hoverClosestPie\",_cat:\"hoverclosest\",title:function(t){return u(t,\"Toggle show closest data on hover\")},attr:\"hovermode\",val:\"closest\",icon:o.tooltip_basic,gravity:\"ne\",click:y},c.resetViewSankey={name:\"resetSankeyGroup\",title:function(t){return u(t,\"Reset view\")},icon:o.home,click:function(t){for(var e={\"node.groups\":[],\"node.x\":[],\"node.y\":[]},r=0;r<t._fullData.length;r++){var i=t._fullData[r]._viewInitial;e[\"node.groups\"].push(i.node.groups.slice()),e[\"node.x\"].push(i.node.x.slice()),e[\"node.y\"].push(i.node.y.slice())}n.call(\"restyle\",t,e)}},c.toggleHover={name:\"toggleHover\",title:function(t){return u(t,\"Toggle show closest data on hover\")},attr:\"hovermode\",val:null,toggle:!0,icon:o.tooltip_basic,gravity:\"ne\",click:function(t,e){var r=d(t,e);r.hovermode=g(t),n.call(\"_guiRelayout\",t,r)}},c.resetViews={name:\"resetViews\",title:function(t){return u(t,\"Reset views\")},icon:o.home,click:function(t,e){var r=e.currentTarget;r.setAttribute(\"data-attr\",\"zoom\"),r.setAttribute(\"data-val\",\"reset\"),f(t,e),r.setAttribute(\"data-attr\",\"resetLastSave\"),p(t,e),x(t,\"geo\"),x(t,\"mapbox\")}},c.toggleSpikelines={name:\"toggleSpikelines\",title:function(t){return u(t,\"Toggle Spike Lines\")},icon:o.spikeline,attr:\"_cartesianSpikesEnabled\",val:\"on\",click:function(t){var e=t._fullLayout,r=e._cartesianSpikesEnabled;e._cartesianSpikesEnabled=\"on\"===r?\"off\":\"on\",n.call(\"_guiRelayout\",t,function(t){for(var e=\"on\"===t._fullLayout._cartesianSpikesEnabled,r=a.list(t,null,!0),n={},i=0;i<r.length;i++){var o=r[i];n[o._name+\".showspikes\"]=!!e||o._showSpikeInitial}return n}(t))}},c.resetViewMapbox={name:\"resetViewMapbox\",_cat:\"resetView\",title:function(t){return u(t,\"Reset view\")},attr:\"reset\",icon:o.home,click:function(t){x(t,\"mapbox\")}},c.zoomInMapbox={name:\"zoomInMapbox\",_cat:\"zoomin\",title:function(t){return u(t,\"Zoom in\")},attr:\"zoom\",val:\"in\",icon:o.zoom_plus,click:m},c.zoomOutMapbox={name:\"zoomOutMapbox\",_cat:\"zoomout\",title:function(t){return u(t,\"Zoom out\")},attr:\"zoom\",val:\"out\",icon:o.zoom_minus,click:m}},93348:function(t,e,r){\"use strict\";var n=r(26023),i=Object.keys(n),a=[\"drawline\",\"drawopenpath\",\"drawclosedpath\",\"drawcircle\",\"drawrect\",\"eraseshape\"],o=[\"v1hovermode\",\"hoverclosest\",\"hovercompare\",\"togglehover\",\"togglespikelines\"].concat(a),s=[];i.forEach((function(t){!function(t){if(-1===o.indexOf(t._cat||t.name)){var e=t.name,r=(t._cat||t.name).toLowerCase();-1===s.indexOf(e)&&s.push(e),-1===s.indexOf(r)&&s.push(r)}}(n[t])})),s.sort(),t.exports={DRAW_MODES:a,backButtons:o,foreButtons:s}},35750:function(t,e,r){\"use strict\";var n=r(71828),i=r(7901),a=r(44467),o=r(42068);t.exports=function(t,e){var r=t.modebar||{},s=a.newContainer(e,\"modebar\");function l(t,e){return n.coerce(r,s,o,t,e)}l(\"orientation\"),l(\"bgcolor\",i.addOpacity(e.paper_bgcolor,.5));var u=i.contrast(i.rgb(e.modebar.bgcolor));l(\"color\",i.addOpacity(u,.3)),l(\"activecolor\",i.addOpacity(u,.7)),l(\"uirevision\",e.uirevision),l(\"add\"),l(\"remove\")}},64168:function(t,e,r){\"use strict\";t.exports={moduleType:\"component\",name:\"modebar\",layoutAttributes:r(42068),supplyLayoutDefaults:r(35750),manage:r(14192)}},14192:function(t,e,r){\"use strict\";var n=r(41675),i=r(34098),a=r(73972),o=r(23469).isUnifiedHover,s=r(37676),l=r(26023),u=r(93348).DRAW_MODES,c=r(71828).extendDeep;t.exports=function(t){var e=t._fullLayout,r=t._context,f=e._modeBar;if(r.displayModeBar||r.watermark){if(!Array.isArray(r.modeBarButtonsToRemove))throw new Error([\"*modeBarButtonsToRemove* configuration options\",\"must be an array.\"].join(\" \"));if(!Array.isArray(r.modeBarButtonsToAdd))throw new Error([\"*modeBarButtonsToAdd* configuration options\",\"must be an array.\"].join(\" \"));var h,p=r.modeBarButtons;h=Array.isArray(p)&&p.length?function(t){for(var e=c([],t),r=0;r<e.length;r++)for(var n=e[r],i=0;i<n.length;i++){var a=n[i];if(\"string\"==typeof a){if(void 0===l[a])throw new Error([\"*modeBarButtons* configuration options\",\"invalid button name\"].join(\" \"));e[r][i]=l[a]}}return e}(p):!r.displayModeBar&&r.watermark?[]:function(t){var e=t._fullLayout,r=t._fullData,s=t._context;function c(t,e){if(\"string\"==typeof e){if(e.toLowerCase()===t.toLowerCase())return!0}else{var r=e.name,n=e._cat||e.name;if(r===t||n===t.toLowerCase())return!0}return!1}var f=e.modebar.add;\"string\"==typeof f&&(f=[f]);var h=e.modebar.remove;\"string\"==typeof h&&(h=[h]);var p=s.modeBarButtonsToAdd.concat(f.filter((function(t){for(var e=0;e<s.modeBarButtonsToRemove.length;e++)if(c(t,s.modeBarButtonsToRemove[e]))return!1;return!0}))),d=s.modeBarButtonsToRemove.concat(h.filter((function(t){for(var e=0;e<s.modeBarButtonsToAdd.length;e++)if(c(t,s.modeBarButtonsToAdd[e]))return!1;return!0}))),v=e._has(\"cartesian\"),g=e._has(\"gl3d\"),y=e._has(\"geo\"),m=e._has(\"pie\"),x=e._has(\"funnelarea\"),b=e._has(\"gl2d\"),_=e._has(\"ternary\"),w=e._has(\"mapbox\"),T=e._has(\"polar\"),k=e._has(\"smith\"),A=e._has(\"sankey\"),M=function(t){for(var e=n.list({_fullLayout:t},null,!0),r=0;r<e.length;r++)if(!e[r].fixedrange)return!1;return!0}(e),S=o(e.hovermode),E=[];function L(t){if(t.length){for(var e=[],r=0;r<t.length;r++){for(var n=t[r],i=l[n],a=i.name.toLowerCase(),o=(i._cat||i.name).toLowerCase(),s=!1,u=0;u<d.length;u++){var c=d[u].toLowerCase();if(c===a||c===o){s=!0;break}}s||e.push(l[n])}E.push(e)}}var C=[\"toImage\"];s.showEditInChartStudio?C.push(\"editInChartStudio\"):s.showSendToCloud&&C.push(\"sendDataToCloud\"),L(C);var P=[],O=[],I=[],D=[];(v||b||m||x||_)+y+g+w+T+k>1?(O=[\"toggleHover\"],I=[\"resetViews\"]):y?(P=[\"zoomInGeo\",\"zoomOutGeo\"],O=[\"hoverClosestGeo\"],I=[\"resetGeo\"]):g?(O=[\"hoverClosest3d\"],I=[\"resetCameraDefault3d\",\"resetCameraLastSave3d\"]):w?(P=[\"zoomInMapbox\",\"zoomOutMapbox\"],O=[\"toggleHover\"],I=[\"resetViewMapbox\"]):b?O=[\"hoverClosestGl2d\"]:m?O=[\"hoverClosestPie\"]:A?(O=[\"hoverClosestCartesian\",\"hoverCompareCartesian\"],I=[\"resetViewSankey\"]):O=[\"toggleHover\"],v&&(O=[\"toggleSpikelines\",\"hoverClosestCartesian\",\"hoverCompareCartesian\"]),(function(t){for(var e=0;e<t.length;e++)if(!a.traceIs(t[e],\"noHover\"))return!1;return!0}(r)||S)&&(O=[]),!v&&!b||M||(P=[\"zoomIn2d\",\"zoomOut2d\",\"autoScale2d\"],\"resetViews\"!==I[0]&&(I=[\"resetScale2d\"])),g?D=[\"zoom3d\",\"pan3d\",\"orbitRotation\",\"tableRotation\"]:(v||b)&&!M||_?D=[\"zoom2d\",\"pan2d\"]:w||y?D=[\"pan2d\"]:T&&(D=[\"zoom2d\"]),function(t){for(var e=!1,r=0;r<t.length&&!e;r++){var n=t[r];n._module&&n._module.selectPoints&&(a.traceIs(n,\"scatter-like\")?(i.hasMarkers(n)||i.hasText(n))&&(e=!0):a.traceIs(n,\"box-violin\")&&\"all\"!==n.boxpoints&&\"all\"!==n.points||(e=!0))}return e}(r)&&D.push(\"select2d\",\"lasso2d\");var z=[],R=function(t){-1===z.indexOf(t)&&-1!==O.indexOf(t)&&z.push(t)};if(Array.isArray(p)){for(var F=[],B=0;B<p.length;B++){var N=p[B];\"string\"==typeof N?(N=N.toLowerCase(),-1!==u.indexOf(N)?(e._has(\"mapbox\")||e._has(\"cartesian\"))&&D.push(N):\"togglespikelines\"===N?R(\"toggleSpikelines\"):\"togglehover\"===N?R(\"toggleHover\"):\"hovercompare\"===N?R(\"hoverCompareCartesian\"):\"hoverclosest\"===N?(R(\"hoverClosestCartesian\"),R(\"hoverClosestGeo\"),R(\"hoverClosest3d\"),R(\"hoverClosestGl2d\"),R(\"hoverClosestPie\")):\"v1hovermode\"===N&&(R(\"toggleHover\"),R(\"hoverClosestCartesian\"),R(\"hoverCompareCartesian\"),R(\"hoverClosestGeo\"),R(\"hoverClosest3d\"),R(\"hoverClosestGl2d\"),R(\"hoverClosestPie\"))):F.push(N)}p=F}return L(D),L(P.concat(I)),L(z),function(t,e){if(e.length)if(Array.isArray(e[0]))for(var r=0;r<e.length;r++)t.push(e[r]);else t.push(e);return t}(E,p)}(t),f?f.update(t,h):e._modeBar=s(t,h)}else f&&(f.destroy(),delete e._modeBar)}},37676:function(t,e,r){\"use strict\";var n=r(39898),i=r(92770),a=r(71828),o=r(24255),s=r(11506).version,l=new DOMParser;function u(t){this.container=t.container,this.element=document.createElement(\"div\"),this.update(t.graphInfo,t.buttons),this.container.appendChild(this.element)}var c=u.prototype;c.update=function(t,e){this.graphInfo=t;var r=this.graphInfo._context,n=this.graphInfo._fullLayout,i=\"modebar-\"+n._uid;this.element.setAttribute(\"id\",i),this._uid=i,this.element.className=\"modebar\",\"hover\"===r.displayModeBar&&(this.element.className+=\" modebar--hover ease-bg\"),\"v\"===n.modebar.orientation&&(this.element.className+=\" vertical\",e=e.reverse());var o=n.modebar,s=\"hover\"===r.displayModeBar?\".js-plotly-plot .plotly:hover 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n=t.name;if(!n)throw new Error(\"must provide button 'name' in button config\");if(-1!==e.buttonsNames.indexOf(n))throw new Error(\"button name '\"+n+\"' is taken\");e.buttonsNames.push(n);var i=e.createButton(t);e.buttonElements.push(i),r.appendChild(i)})),e.element.appendChild(r)}))},c.createGroup=function(){var t=document.createElement(\"div\");return t.className=\"modebar-group\",t},c.createButton=function(t){var e=this,r=document.createElement(\"a\");r.setAttribute(\"rel\",\"tooltip\"),r.className=\"modebar-btn\";var i=t.title;void 0===i?i=t.name:\"function\"==typeof i&&(i=i(this.graphInfo)),(i||0===i)&&r.setAttribute(\"data-title\",i),void 0!==t.attr&&r.setAttribute(\"data-attr\",t.attr);var a=t.val;if(void 0!==a&&(\"function\"==typeof a&&(a=a(this.graphInfo)),r.setAttribute(\"data-val\",a)),\"function\"!=typeof t.click)throw new Error(\"must provide button 'click' function in button 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t.svg&&(e=l.parseFromString(t.svg,\"application/xml\").childNodes[0]),e.setAttribute(\"height\",\"1em\"),e.setAttribute(\"width\",\"1em\"),e},c.updateActiveButton=function(t){var e=this.graphInfo._fullLayout,r=void 0!==t?t.getAttribute(\"data-attr\"):null;this.buttonElements.forEach((function(t){var i=t.getAttribute(\"data-val\")||!0,o=t.getAttribute(\"data-attr\"),s=\"true\"===t.getAttribute(\"data-toggle\"),l=n.select(t);if(s)o===r&&l.classed(\"active\",!l.classed(\"active\"));else{var u=null===o?o:a.nestedProperty(e,o).get();l.classed(\"active\",u===i)}}))},c.hasButtons=function(t){var e=this.buttons;if(!e)return!1;if(t.length!==e.length)return!1;for(var r=0;r<t.length;++r){if(t[r].length!==e[r].length)return!1;for(var n=0;n<t[r].length;n++)if(t[r][n].name!==e[r][n].name)return!1}return!0},c.getLogo=function(){var t=this.createGroup(),e=document.createElement(\"a\");return e.href=\"https://plotly.com/\",e.target=\"_blank\",e.setAttribute(\"data-title\",a._(this.graphInfo,\"Produced 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n=r(41940),i=r(22399),a=(0,r(44467).templatedArray)(\"button\",{visible:{valType:\"boolean\",dflt:!0,editType:\"plot\"},step:{valType:\"enumerated\",values:[\"month\",\"year\",\"day\",\"hour\",\"minute\",\"second\",\"all\"],dflt:\"month\",editType:\"plot\"},stepmode:{valType:\"enumerated\",values:[\"backward\",\"todate\"],dflt:\"backward\",editType:\"plot\"},count:{valType:\"number\",min:0,dflt:1,editType:\"plot\"},label:{valType:\"string\",editType:\"plot\"},editType:\"plot\"});t.exports={visible:{valType:\"boolean\",editType:\"plot\"},buttons:a,x:{valType:\"number\",min:-2,max:3,editType:\"plot\"},xanchor:{valType:\"enumerated\",values:[\"auto\",\"left\",\"center\",\"right\"],dflt:\"left\",editType:\"plot\"},y:{valType:\"number\",min:-2,max:3,editType:\"plot\"},yanchor:{valType:\"enumerated\",values:[\"auto\",\"top\",\"middle\",\"bottom\"],dflt:\"bottom\",editType:\"plot\"},font:n({editType:\"plot\"}),bgcolor:{valType:\"color\",dflt:i.lightLine,editType:\"plot\"},activecolor:{valType:\"color\",editType:\"plot\"},bordercolor:{valType:\"color\",dflt:i.defaultLine,editType:\"plot\"},borderwidth:{valType:\"number\",min:0,dflt:0,editType:\"plot\"},editType:\"plot\"}},89573:function(t){\"use 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d=n._height-c(n.d2pOppAxis(i._rl[1])),g=n._height-c(n.d2pOppAxis(i._rl[0]));t.select(\"rect.\"+v.maskMinOppAxisClassName).attr(\"x\",h).attr(\"height\",d).attr(\"width\",p-h),t.select(\"rect.\"+v.maskMaxOppAxisClassName).attr(\"x\",h).attr(\"y\",g).attr(\"height\",n._height-g).attr(\"width\",p-h),t.select(\"rect.\"+v.slideBoxClassName).attr(\"y\",d).attr(\"height\",g-d)}var y=.5,m=Math.round(f(h-l))-y,x=Math.round(f(p-l))+y;t.select(\"g.\"+v.grabberMinClassName).attr(\"transform\",s(m,y)),t.select(\"g.\"+v.grabberMaxClassName).attr(\"transform\",s(x,y))}(a,0,r,l,u,f),\"bottom\"===r.side&&c.draw(t,r._id+\"title\",{propContainer:r,propName:r._name+\".title\",placeholder:e._dfltTitle.x,attributes:{x:r._offset+r._length/2,y:E+l._height+l._offsetShift+10+1.5*r.title.font.size,\"text-anchor\":\"middle\"}})})))}},549:function(t,e,r){\"use strict\";var n=r(41675),i=r(63893),a=r(73251),o=r(18783).LINE_SPACING,s=a.name;function l(t){var e=t&&t[s];return 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n=r(71828),i=r(75148),a=r(47850),o=r(549);t.exports={moduleType:\"component\",name:\"rangeslider\",schema:{subplots:{xaxis:{rangeslider:n.extendFlat({},i,{yaxis:a})}}},layoutAttributes:r(75148),handleDefaults:r(26377),calcAutorange:r(88443),draw:r(72413),isVisible:o.isVisible,makeData:o.makeData,autoMarginOpts:o.autoMarginOpts}},47850:function(t){\"use strict\";t.exports={_isSubplotObj:!0,rangemode:{valType:\"enumerated\",values:[\"auto\",\"fixed\",\"match\"],dflt:\"match\",editType:\"calc\"},range:{valType:\"info_array\",items:[{valType:\"any\",editType:\"plot\"},{valType:\"any\",editType:\"plot\"}],editType:\"plot\"},editType:\"calc\"}},8389:function(t,e,r){\"use strict\";var n=r(50215),i=r(82196).line,a=r(79952).P,o=r(1426).extendFlat,s=r(30962).overrideAll,l=r(44467).templatedArray;r(24695),t.exports=s(l(\"selection\",{type:{valType:\"enumerated\",values:[\"rect\",\"path\"]},xref:o({},n.xref,{}),yref:o({},n.yref,{}),x0:{valType:\"any\"},x1:{valType:\"any\"},y0:{valType:\"any\"},y1:{valType:\"any\"},path:{valType:\"string\",editType:\"arraydraw\"},opacity:{valType:\"number\",min:0,max:1,dflt:.7,editType:\"arraydraw\"},line:{color:i.color,width:o({},i.width,{min:1,dflt:1}),dash:o({},a,{dflt:\"dot\"})}}),\"arraydraw\",\"from-root\")},34122:function(t){\"use strict\";t.exports={BENDPX:1.5,MINSELECT:12,SELECTDELAY:100,SELECTID:\"-select\"}},59402:function(t,e,r){\"use strict\";var n=r(71828),i=r(89298),a=r(85501),o=r(8389),s=r(30477);function l(t,e,r){function a(r,i){return n.coerce(t,e,o,r,i)}var l=a(\"path\"),u=\"path\"!==a(\"type\",l?\"path\":\"rect\");u&&delete e.path,a(\"opacity\"),a(\"line.color\"),a(\"line.width\"),a(\"line.dash\");for(var c=[\"x\",\"y\"],f=0;f<2;f++){var h,p,d,v=c[f],g={_fullLayout:r},y=i.coerceRef(t,e,g,v);if((h=i.getFromId(g,y))._selectionIndices.push(e._index),d=s.rangeToShapePosition(h),p=s.shapePositionToRange(h),u){var m=v+\"0\",x=v+\"1\",b=t[m],_=t[x];t[m]=p(t[m],!0),t[x]=p(t[x],!0),i.coercePosition(e,g,a,y,m),i.coercePosition(e,g,a,y,x);var w=e[m],T=e[x];void 0!==w&&void 0!==T&&(e[m]=d(w),e[x]=d(T),t[m]=b,t[x]=_)}}u&&n.noneOrAll(t,e,[\"x0\",\"x1\",\"y0\",\"y1\"])}t.exports=function(t,e){a(t,e,{name:\"selections\",handleItemDefaults:l});for(var r=e.selections,n=0;n<r.length;n++){var i=r[n];i&&void 0===i.path&&(void 0!==i.x0&&void 0!==i.x1&&void 0!==i.y0&&void 0!==i.y1||(e.selections[n]=null))}}},32485:function(t,e,r){\"use strict\";var n=r(60165).readPaths,i=r(42359),a=r(51873).clearOutlineControllers,o=r(7901),s=r(91424),l=r(44467).arrayEditor,u=r(30477),c=u.getPathString;function f(t){var e=t._fullLayout;for(var r in a(t),e._selectionLayer.selectAll(\"path\").remove(),e._plots){var 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n=r(79952).P,i=r(1426).extendFlat;t.exports={newselection:{mode:{valType:\"enumerated\",values:[\"immediate\",\"gradual\"],dflt:\"immediate\",editType:\"none\"},line:{color:{valType:\"color\",editType:\"none\"},width:{valType:\"number\",min:1,dflt:1,editType:\"none\"},dash:i({},n,{dflt:\"dot\",editType:\"none\"}),editType:\"none\"},editType:\"none\"},activeselection:{fillcolor:{valType:\"color\",dflt:\"rgba(0,0,0,0)\",editType:\"none\"},opacity:{valType:\"number\",min:0,max:1,dflt:.5,editType:\"none\"},editType:\"none\"}}},90849:function(t){\"use strict\";t.exports=function(t,e,r){r(\"newselection.mode\"),r(\"newselection.line.width\")&&(r(\"newselection.line.color\"),r(\"newselection.line.dash\")),r(\"activeselection.fillcolor\"),r(\"activeselection.opacity\")}},35855:function(t,e,r){\"use strict\";var n=r(64505).selectMode,i=r(51873).clearOutline,a=r(60165),o=a.readPaths,s=a.writePaths,l=a.fixDatesForPaths;t.exports=function(t,e){if(t.length){var r=t[0][0];if(r){var 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0===d?(T.push(b),T):_?_.getUpdateObj():{}}}}},75549:function(t,e,r){\"use strict\";var n=r(71828).strTranslate;function i(t,e){switch(t.type){case\"log\":return t.p2d(e);case\"date\":return t.p2r(e,0,t.calendar);default:return t.p2r(e)}}t.exports={p2r:i,r2p:function(t,e){switch(t.type){case\"log\":return t.d2p(e);case\"date\":return t.r2p(e,0,t.calendar);default:return t.r2p(e)}},axValue:function(t){var e=\"y\"===t._id.charAt(0)?1:0;return function(r){return i(t,r[e])}},getTransform:function(t){return n(t.xaxis._offset,t.yaxis._offset)}}},47322:function(t,e,r){\"use strict\";var n=r(32485),i=r(3937);t.exports={moduleType:\"component\",name:\"selections\",layoutAttributes:r(8389),supplyLayoutDefaults:r(59402),supplyDrawNewSelectionDefaults:r(90849),includeBasePlot:r(76325)(\"selections\"),draw:n.draw,drawOne:n.drawOne,reselect:i.reselect,prepSelect:i.prepSelect,clearOutline:i.clearOutline,clearSelectionsCache:i.clearSelectionsCache,selectOnClick:i.selectOnClick}},3937:function(t,e,r){\"use strict\";var n=r(52142),i=r(38258),a=r(73972),o=r(91424).dashStyle,s=r(7901),l=r(30211),u=r(23469).makeEventData,c=r(64505),f=c.freeMode,h=c.rectMode,p=c.drawMode,d=c.openMode,v=c.selectMode,g=r(30477),y=r(21459),m=r(42359),x=r(51873).clearOutline,b=r(60165),_=b.handleEllipse,w=b.readPaths,T=r(90551).newShapes,k=r(35855),A=r(32485).activateLastSelection,M=r(71828),S=M.sorterAsc,E=r(61082),L=r(79990),C=r(41675).getFromId,P=r(33306),O=r(61549).redrawReglTraces,I=r(34122),D=I.MINSELECT,z=E.filter,R=E.tester,F=r(75549),B=F.p2r,N=F.axValue,j=F.getTransform;function U(t){return void 0!==t.subplot}function V(t,e,r,n,i,a,o){var s,l,u,c,f,h,p,v,g,y=e._hoverdata,x=e._fullLayout.clickmode.indexOf(\"event\")>-1,b=[];if(function(t){return t&&Array.isArray(t)&&!0!==t[0].hoverOnBox}(y)){Z(t,e,a);var _=function(t,e){var r,n,i=t[0],a=-1,o=[];for(n=0;n<e.length;n++)if(r=e[n],i.fullData._expandedIndex===r.cd[0].trace._expandedIndex){if(!0===i.hoverOnBox)break;void 0!==i.pointNumber?a=i.pointNumber:void 0!==i.binNumber&&(a=i.binNumber,o=i.pointNumbers);break}return{pointNumber:a,pointNumbers:o,searchInfo:r}}(y,s=X(e,r,n,i));if(_.pointNumbers.length>0?function(t,e){var r,n,i,a=[];for(i=0;i<t.length;i++)(r=t[i]).cd[0].trace.selectedpoints&&r.cd[0].trace.selectedpoints.length>0&&a.push(r);if(1===a.length&&a[0]===e.searchInfo&&(n=e.searchInfo.cd[0].trace).selectedpoints.length===e.pointNumbers.length){for(i=0;i<e.pointNumbers.length;i++)if(n.selectedpoints.indexOf(e.pointNumbers[i])<0)return!1;return!0}return!1}(s,_):function(t){var e,r,n=0;for(r=0;r<t.length;r++)if((e=t[r].cd[0].trace).selectedpoints){if(e.selectedpoints.length>1)return!1;if((n+=e.selectedpoints.length)>1)return!1}return 1===n}(s)&&(h=K(_))){for(o&&o.remove(),g=0;g<s.length;g++)(l=s[g])._module.selectPoints(l,!1);$(e,s),Y(a),x&&ht(e)}else{for(p=t.shiftKey&&(void 0!==h?h:K(_)),u=function(t,e,r){return{pointNumber:t,searchInfo:e,subtract:!!r}}(_.pointNumber,_.searchInfo,p),c=G(a.selectionDefs.concat([u])),g=0;g<s.length;g++)if(f=tt(s[g]._module.selectPoints(s[g],c),s[g]),b.length)for(var w=0;w<f.length;w++)b.push(f[w]);else b=f;if($(e,s,v={points:b}),u&&a&&a.selectionDefs.push(u),o){var T=a.mergedPolygons,k=d(a.dragmode);m(et(T,k),o,a)}x&&ft(e,v)}}}function H(t){return\"pointNumber\"in t&&\"searchInfo\"in t}function q(t){return{xmin:0,xmax:0,ymin:0,ymax:0,pts:[],contains:function(e,r,n,i){var a=t.searchInfo.cd[0].trace._expandedIndex;return i.cd[0].trace._expandedIndex===a&&n===t.pointNumber},isRect:!1,degenerate:!1,subtract:!!t.subtract}}function G(t){if(t.length){for(var e=[],r=H(t[0])?0:t[0][0][0],n=r,i=H(t[0])?0:t[0][0][1],a=i,o=0;o<t.length;o++)if(H(t[o]))e.push(q(t[o]));else{var s=R(t[o]);s.subtract=!!t[o].subtract,e.push(s),r=Math.min(r,s.xmin),n=Math.max(n,s.xmax),i=Math.min(i,s.ymin),a=Math.max(a,s.ymax)}return{xmin:r,xmax:n,ymin:i,ymax:a,pts:[],contains:function(t,r,n,i){for(var a=!1,o=0;o<e.length;o++)e[o].contains(t,r,n,i)&&(a=!e[o].subtract);return a},isRect:!1,degenerate:!1}}}function Z(t,e,r){var n=e._fullLayout,i=r.plotinfo,a=r.dragmode,o=n._lastSelectedSubplot&&n._lastSelectedSubplot===i.id,s=(t.shiftKey||t.altKey)&&!(p(a)&&d(a));o&&s&&i.selection&&i.selection.selectionDefs&&!r.selectionDefs?(r.selectionDefs=i.selection.selectionDefs,r.mergedPolygons=i.selection.mergedPolygons):s&&i.selection||Y(r),o||(x(e),n._lastSelectedSubplot=i.id)}function Y(t,e){var r=t.dragmode,n=t.plotinfo,i=t.gd;(function(t){return t._fullLayout._activeShapeIndex>=0})(i)&&i._fullLayout._deactivateShape(i),function(t){return t._fullLayout._activeSelectionIndex>=0}(i)&&i._fullLayout._deactivateSelection(i);var o=i._fullLayout._zoomlayer,s=p(r),l=v(r);if(s||l){var u,c,f=o.selectAll(\".select-outline-\"+n.id);f&&i._fullLayout._outlining&&(s&&(u=T(f,t)),u&&a.call(\"_guiRelayout\",i,{shapes:u}),l&&!U(t)&&(c=k(f,t)),c&&(i._fullLayout._noEmitSelectedAtStart=!0,a.call(\"_guiRelayout\",i,{selections:c}).then((function(){e&&A(i)}))),i._fullLayout._outlining=!1)}n.selection={},n.selection.selectionDefs=t.selectionDefs=[],n.selection.mergedPolygons=t.mergedPolygons=[]}function W(t){return t._id}function X(t,e,r,n){if(!t.calcdata)return[];var i,a,o,s=[],l=e.map(W),u=r.map(W);for(o=0;o<t.calcdata.length;o++)if(!0===(a=(i=t.calcdata[o])[0].trace).visible&&a._module&&a._module.selectPoints)if(!U({subplot:n})||a.subplot!==n&&a.geo!==n)if(\"splom\"===a.type){if(a._xaxes[l[0]]&&a._yaxes[u[0]]){var c=J(a._module,i,e[0],r[0]);c.scene=t._fullLayout._splomScenes[a.uid],s.push(c)}}else if(\"sankey\"===a.type){var f=J(a._module,i,e[0],r[0]);s.push(f)}else{if(-1===l.indexOf(a.xaxis))continue;if(-1===u.indexOf(a.yaxis))continue;s.push(J(a._module,i,C(t,a.xaxis),C(t,a.yaxis)))}else s.push(J(a._module,i,e[0],r[0]));return s}function J(t,e,r,n){return{_module:t,cd:e,xaxis:r,yaxis:n}}function K(t){var e=t.searchInfo.cd[0].trace,r=t.pointNumber,n=t.pointNumbers,i=n.length>0?n[0]:r;return!!e.selectedpoints&&e.selectedpoints.indexOf(i)>-1}function $(t,e,r){var n,i;for(n=0;n<e.length;n++){var o=e[n].cd[0].trace._fullInput,s=t._fullLayout._tracePreGUI[o.uid]||{};void 0===s.selectedpoints&&(s.selectedpoints=o._input.selectedpoints||null)}if(r){var l=r.points||[];for(n=0;n<e.length;n++)(i=e[n].cd[0].trace)._input.selectedpoints=i._fullInput.selectedpoints=[],i._fullInput!==i&&(i.selectedpoints=[]);for(var u=0;u<l.length;u++){var 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n=r(7901),i=r(71828);t.exports=function(t,e,r){if(r(\"newshape.visible\"),r(\"newshape.name\"),r(\"newshape.showlegend\"),r(\"newshape.legend\"),r(\"newshape.legendwidth\"),r(\"newshape.legendgroup\"),r(\"newshape.legendgrouptitle.text\"),i.coerceFont(r,\"newshape.legendgrouptitle.font\"),r(\"newshape.legendrank\"),r(\"newshape.drawdirection\"),r(\"newshape.layer\"),r(\"newshape.fillcolor\"),r(\"newshape.fillrule\"),r(\"newshape.opacity\"),r(\"newshape.line.width\")){var a=(t||{}).plot_bgcolor||\"#FFF\";r(\"newshape.line.color\",n.contrast(a)),r(\"newshape.line.dash\")}var o=\"drawline\"===t.dragmode,s=r(\"newshape.label.text\"),l=r(\"newshape.label.texttemplate\");if(s||l){r(\"newshape.label.textangle\");var u=r(\"newshape.label.textposition\",o?\"middle\":\"middle center\");r(\"newshape.label.xanchor\"),r(\"newshape.label.yanchor\",function(t,e){return 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p=2*h*Math.PI/a;f.push([s+u*Math.cos(p),l+c*Math.sin(p)])}return f},e.ellipseOver=function(t){var e=t.x0,r=t.y0,n=t.x1,i=t.y1,a=n-e,s=i-r,l=((e-=a)+n)/2,u=((r-=s)+i)/2;return{x0:l-(a*=o),y0:u-(s*=o),x1:l+a,y1:u+s}},e.fixDatesForPaths=function(t,e,r){var n=\"date\"===e.type,i=\"date\"===r.type;if(!n&&!i)return t;for(var a=0;a<t.length;a++)for(var o=0;o<t[a].length;o++)for(var s=0;s+2<t[a][o].length;s+=2)n&&(t[a][o][s+1]=t[a][o][s+1].replace(\" \",\"_\")),i&&(t[a][o][s+2]=t[a][o][s+2].replace(\" \",\"_\"));return t}},90551:function(t,e,r){\"use strict\";var n=r(64505),i=n.drawMode,a=n.openMode,o=r(89995),s=o.i000,l=o.i090,u=o.i180,c=o.i270,f=o.cos45,h=o.sin45,p=r(75549),d=p.p2r,v=p.r2p,g=r(51873).clearOutline,y=r(60165),m=y.readPaths,x=y.writePaths,b=y.ellipseOver,_=y.fixDatesForPaths;function w(t,e,r){var n,i=t[0][0],o=e.gd,p=i.getAttribute(\"d\"),g=o._fullLayout.newshape,y=e.plotinfo,w=e.isActiveShape,T=y.xaxis,k=y.yaxis,A=!!y.domain||!y.xaxis,M=!!y.domain||!y.yaxis,S=a(r),E=m(p,o,y,w),L={editable:!0,visible:g.visible,name:g.name,showlegend:g.showlegend,legend:g.legend,legendwidth:g.legendwidth,legendgroup:g.legendgroup,legendgrouptitle:{text:g.legendgrouptitle.text,font:g.legendgrouptitle.font},legendrank:g.legendrank,label:g.label,xref:A?\"paper\":T._id,yref:M?\"paper\":k._id,layer:g.layer,opacity:g.opacity,line:{color:g.line.color,width:g.line.width,dash:g.line.dash}};if(S||(L.fillcolor=g.fillcolor,L.fillrule=g.fillrule),1===E.length&&(n=E[0]),n&&5===n.length&&\"drawrect\"===r)L.type=\"rect\",L.x0=n[0][1],L.y0=n[0][2],L.x1=n[2][1],L.y1=n[2][2];else if(n&&\"drawline\"===r)L.type=\"line\",L.x0=n[0][1],L.y0=n[0][2],L.x1=n[1][1],L.y1=n[1][2];else if(n&&\"drawcircle\"===r){L.type=\"circle\";var C=n[s][1],P=n[l][1],O=n[u][1],I=n[c][1],D=n[s][2],z=n[l][2],R=n[u][2],F=n[c][2],B=y.xaxis&&(\"date\"===y.xaxis.type||\"log\"===y.xaxis.type),N=y.yaxis&&(\"date\"===y.yaxis.type||\"log\"===y.yaxis.type);B&&(C=v(y.xaxis,C),P=v(y.xaxis,P),O=v(y.xaxis,O),I=v(y.xaxis,I)),N&&(D=v(y.yaxis,D),z=v(y.yaxis,z),R=v(y.yaxis,R),F=v(y.yaxis,F));var j=(P+I)/2,U=(D+R)/2,V=b({x0:j,y0:U,x1:j+(I-P+O-C)/2*f,y1:U+(F-z+R-D)/2*h});B&&(V.x0=d(y.xaxis,V.x0),V.x1=d(y.xaxis,V.x1)),N&&(V.y0=d(y.yaxis,V.y0),V.y1=d(y.yaxis,V.y1)),L.x0=V.x0,L.y0=V.y0,L.x1=V.x1,L.y1=V.y1}else L.type=\"path\",T&&k&&_(E,T,k),L.path=x(E),n=null;return L}t.exports={newShapes:function(t,e){if(t.length&&t[0][0]){var r=e.gd,n=e.isActiveShape,a=e.dragmode,o=(r.layout||{}).shapes||[];if(!i(a)&&void 0!==n){var s=r._fullLayout._activeShapeIndex;if(s<o.length)switch(r._fullLayout.shapes[s].type){case\"rect\":a=\"drawrect\";break;case\"circle\":a=\"drawcircle\";break;case\"line\":a=\"drawline\";break;case\"path\":var l=o[s].path||\"\";a=\"Z\"===l[l.length-1]?\"drawclosedpath\":\"drawopenpath\"}}var u=w(t,e,a);g(r);for(var c=e.editHelpers,f=(c||{}).modifyItem,h=[],p=0;p<o.length;p++){var d=r._fullLayout.shapes[p];if(h[p]=d._input,void 0!==n&&p===r._fullLayout._activeShapeIndex){var v=u;switch(d.type){case\"line\":case\"rect\":case\"circle\":f(\"x0\",v.x0),f(\"x1\",v.x1),f(\"y0\",v.y0),f(\"y1\",v.y1);break;case\"path\":f(\"path\",v.path)}}}return void 0===n?(h.push(u),h):c?c.getUpdateObj():{}}},createShapeObj:w}},51873:function(t){\"use strict\";t.exports={clearOutlineControllers:function(t){var e=t._fullLayout._zoomlayer;e&&e.selectAll(\".outline-controllers\").remove()},clearOutline:function(t){var e=t._fullLayout._zoomlayer;e&&e.selectAll(\".select-outline\").remove(),t._fullLayout._outlining=!1}}},30477:function(t,e,r){\"use strict\";var n=r(21459),i=r(71828),a=r(89298);e.rangeToShapePosition=function(t){return\"log\"===t.type?t.r2d:function(t){return 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n=r._dims;o.setTranslate(e,n.lx+r.pad.l,n.ly+r.pad.t),e.call(S,r,!1),e.call(x,r)}(t,n.select(this),e)}))}}},23243:function(t,e,r){\"use strict\";var n=r(98292);t.exports={moduleType:\"component\",name:n.name,layoutAttributes:r(75067),supplyLayoutDefaults:r(12343),draw:r(44504)}},92998:function(t,e,r){\"use strict\";var n=r(39898),i=r(92770),a=r(74875),o=r(73972),s=r(71828),l=s.strTranslate,u=r(91424),c=r(7901),f=r(63893),h=r(37822),p=r(18783).OPPOSITE_SIDE,d=/ [XY][0-9]* /;t.exports={draw:function(t,e,r){var v,g=r.propContainer,y=r.propName,m=r.placeholder,x=r.traceIndex,b=r.avoid||{},_=r.attributes,w=r.transform,T=r.containerGroup,k=t._fullLayout,A=1,M=!1,S=g.title,E=(S&&S.text?S.text:\"\").trim(),L=S&&S.font?S.font:{},C=L.family,P=L.size,O=L.color;\"title.text\"===y?v=\"titleText\":-1!==y.indexOf(\"axis\")?v=\"axisTitleText\":y.indexOf(!0)&&(v=\"colorbarTitleText\");var I=t._context.edits[v];\"\"===E?A=0:E.replace(d,\" % \")===m.replace(d,\" % 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n=r(41940),i=r(22399),a=r(1426).extendFlat,o=r(30962).overrideAll,s=r(35025),l=r(44467).templatedArray,u=l(\"button\",{visible:{valType:\"boolean\"},method:{valType:\"enumerated\",values:[\"restyle\",\"relayout\",\"animate\",\"update\",\"skip\"],dflt:\"restyle\"},args:{valType:\"info_array\",freeLength:!0,items:[{valType:\"any\"},{valType:\"any\"},{valType:\"any\"}]},args2:{valType:\"info_array\",freeLength:!0,items:[{valType:\"any\"},{valType:\"any\"},{valType:\"any\"}]},label:{valType:\"string\",dflt:\"\"},execute:{valType:\"boolean\",dflt:!0}});t.exports=o(l(\"updatemenu\",{_arrayAttrRegexps:[/^updatemenus\\[(0|[1-9][0-9]+)\\]\\.buttons/],visible:{valType:\"boolean\"},type:{valType:\"enumerated\",values:[\"dropdown\",\"buttons\"],dflt:\"dropdown\"},direction:{valType:\"enumerated\",values:[\"left\",\"right\",\"up\",\"down\"],dflt:\"down\"},active:{valType:\"integer\",min:-1,dflt:0},showactive:{valType:\"boolean\",dflt:!0},buttons:u,x:{valType:\"number\",min:-2,max:3,dflt:-.05},xanchor:{valType:\"enumerated\",values:[\"auto\",\"left\",\"center\",\"right\"],dflt:\"right\"},y:{valType:\"number\",min:-2,max:3,dflt:1},yanchor:{valType:\"enumerated\",values:[\"auto\",\"top\",\"middle\",\"bottom\"],dflt:\"top\"},pad:a(s({editType:\"arraydraw\"}),{}),font:n({}),bgcolor:{valType:\"color\"},bordercolor:{valType:\"color\",dflt:i.borderLine},borderwidth:{valType:\"number\",min:0,dflt:1,editType:\"arraydraw\"}}),\"arraydraw\",\"from-root\")},75909:function(t){\"use strict\";t.exports={name:\"updatemenus\",containerClassName:\"updatemenu-container\",headerGroupClassName:\"updatemenu-header-group\",headerClassName:\"updatemenu-header\",headerArrowClassName:\"updatemenu-header-arrow\",dropdownButtonGroupClassName:\"updatemenu-dropdown-button-group\",dropdownButtonClassName:\"updatemenu-dropdown-button\",buttonClassName:\"updatemenu-button\",itemRectClassName:\"updatemenu-item-rect\",itemTextClassName:\"updatemenu-item-text\",menuIndexAttrName:\"updatemenu-active-index\",autoMarginIdRoot:\"updatemenu-\",blankHeaderOpts:{label:\"  \"},minWidth:30,minHeight:30,textPadX:24,arrowPadX:16,rx:2,ry:2,textOffsetX:12,textOffsetY:3,arrowOffsetX:4,gapButtonHeader:5,gapButton:2,activeColor:\"#F4FAFF\",hoverColor:\"#F4FAFF\",arrowSymbol:{left:\"◄\",right:\"►\",up:\"▲\",down:\"▼\"}}},64897:function(t,e,r){\"use strict\";var n=r(71828),i=r(85501),a=r(7163),o=r(75909).name,s=a.buttons;function l(t,e,r){function o(r,i){return n.coerce(t,e,a,r,i)}o(\"visible\",i(t,e,{name:\"buttons\",handleItemDefaults:u}).length>0)&&(o(\"active\"),o(\"direction\"),o(\"type\"),o(\"showactive\"),o(\"x\"),o(\"y\"),n.noneOrAll(t,e,[\"x\",\"y\"]),o(\"xanchor\"),o(\"yanchor\"),o(\"pad.t\"),o(\"pad.r\"),o(\"pad.b\"),o(\"pad.l\"),n.coerceFont(o,\"font\",r.font),o(\"bgcolor\",r.paper_bgcolor),o(\"bordercolor\"),o(\"borderwidth\"))}function u(t,e){function r(r,i){return n.coerce(t,e,s,r,i)}r(\"visible\",\"skip\"===t.method||Array.isArray(t.args))&&(r(\"method\"),r(\"args\"),r(\"args2\"),r(\"label\"),r(\"execute\"))}t.exports=function(t,e){i(t,e,{name:o,handleItemDefaults:l})}},13689:function(t,e,r){\"use strict\";var n=r(39898),i=r(74875),a=r(7901),o=r(91424),s=r(71828),l=r(63893),u=r(44467).arrayEditor,c=r(18783).LINE_SPACING,f=r(75909),h=r(25849);function p(t){return t._index}function d(t,e){return+t.attr(f.menuIndexAttrName)===e._index}function 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y(t,e,r,a,o){r||(r=e).attr(\"pointer-events\",\"all\");var l=function(t){return-1==+t.attr(f.menuIndexAttrName)}(r)&&\"buttons\"!==o.type?[]:o.buttons,u=\"dropdown\"===o.type?f.dropdownButtonClassName:f.buttonClassName,c=r.selectAll(\"g.\"+u).data(s.filterVisible(l)),h=c.enter().append(\"g\").classed(u,!0),p=c.exit();\"dropdown\"===o.type?(h.attr(\"opacity\",\"0\").transition().attr(\"opacity\",\"1\"),p.transition().attr(\"opacity\",\"0\").remove()):p.remove();var d=0,g=0,y=o._dims,x=-1!==[\"up\",\"down\"].indexOf(o.direction);\"dropdown\"===o.type&&(x?g=y.headerHeight+f.gapButtonHeader:d=y.headerWidth+f.gapButtonHeader),\"dropdown\"===o.type&&\"up\"===o.direction&&(g=-f.gapButtonHeader+f.gapButton-y.openHeight),\"dropdown\"===o.type&&\"left\"===o.direction&&(d=-f.gapButtonHeader+f.gapButton-y.openWidth);var b={x:y.lx+d+o.pad.l,y:y.ly+g+o.pad.t,yPad:f.gapButton,xPad:f.gapButton,index:0},k={l:b.x+o.borderwidth,t:b.y+o.borderwidth};c.each((function(s,l){var 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e=!!t.hbar,r=!!t.vbar;e&&t.hbar.transition().attr(\"opacity\",\"0\").each(\"end\",(function(){e=!1,r||t.disable()})),r&&t.vbar.transition().attr(\"opacity\",\"0\").each(\"end\",(function(){r=!1,e||t.disable()}))}(a))}function m(t,e,r,n){t.call(x,e).call(b,e,r,n)}function x(t,e){s.ensureSingle(t,\"rect\",f.itemRectClassName,(function(t){t.attr({rx:f.rx,ry:f.ry,\"shape-rendering\":\"crispEdges\"})})).call(a.stroke,e.bordercolor).call(a.fill,e.bgcolor).style(\"stroke-width\",e.borderwidth+\"px\")}function b(t,e,r,n){var i=s.ensureSingle(t,\"text\",f.itemTextClassName,(function(t){t.attr({\"text-anchor\":\"start\",\"data-notex\":1})})),a=r.label,u=n._fullLayout._meta;u&&(a=s.templateString(a,u)),i.call(o.font,e.font).text(a).call(l.convertToTspans,n)}function _(t,e){var r=e.active;t.each((function(t,i){var o=n.select(this);i===r&&e.showactive&&o.select(\"rect.\"+f.itemRectClassName).call(a.fill,f.activeColor)}))}function w(t){t.select(\"rect.\"+f.itemRectClassName).call(a.fill,f.hoverColor)}function T(t,e){t.select(\"rect.\"+f.itemRectClassName).call(a.fill,e.bgcolor)}function k(t,e){var r=e._dims={width1:0,height1:0,heights:[],widths:[],totalWidth:0,totalHeight:0,openWidth:0,openHeight:0,lx:0,ly:0},a=o.tester.selectAll(\"g.\"+f.dropdownButtonClassName).data(s.filterVisible(e.buttons));a.enter().append(\"g\").classed(f.dropdownButtonClassName,!0);var u=-1!==[\"up\",\"down\"].indexOf(e.direction);a.each((function(i,a){var s=n.select(this);s.call(m,e,i,t);var h=s.select(\".\"+f.itemTextClassName),p=h.node()&&o.bBox(h.node()).width,d=Math.max(p+f.textPadX,f.minWidth),v=e.font.size*c,g=l.lineCount(h),y=Math.max(v*g,f.minHeight)+f.textOffsetY;y=Math.ceil(y),d=Math.ceil(d),r.widths[a]=d,r.heights[a]=y,r.height1=Math.max(r.height1,y),r.width1=Math.max(r.width1,d),u?(r.totalWidth=Math.max(r.totalWidth,d),r.openWidth=r.totalWidth,r.totalHeight+=y+f.gapButton,r.openHeight+=y+f.gapButton):(r.totalWidth+=d+f.gapButton,r.openWidth+=d+f.gapButton,r.totalHeight=Math.max(r.totalHeight,y),r.openHeight=r.totalHeight)})),u?r.totalHeight-=f.gapButton:r.totalWidth-=f.gapButton,r.headerWidth=r.width1+f.arrowPadX,r.headerHeight=r.height1,\"dropdown\"===e.type&&(u?(r.width1+=f.arrowPadX,r.totalHeight=r.height1):r.totalWidth=r.width1,r.totalWidth+=f.arrowPadX),a.remove();var h=r.totalWidth+e.pad.l+e.pad.r,p=r.totalHeight+e.pad.t+e.pad.b,d=t._fullLayout._size;r.lx=d.l+d.w*e.x,r.ly=d.t+d.h*(1-e.y);var 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k=v>w,A=s.barLength+2*s.barPad,M=s.barWidth+2*s.barPad,S=d,E=g+y;E+M>u&&(E=u-M);var L=this.container.selectAll(\"rect.scrollbar-horizontal\").data(k?[0]:[]);L.exit().on(\".drag\",null).remove(),L.enter().append(\"rect\").classed(\"scrollbar-horizontal\",!0).call(i.fill,s.barColor),k?(this.hbar=L.attr({rx:s.barRadius,ry:s.barRadius,x:S,y:E,width:A,height:M}),this._hbarXMin=S+A/2,this._hbarTranslateMax=w-A):(delete this.hbar,delete this._hbarXMin,delete this._hbarTranslateMax);var C=y>T,P=s.barWidth+2*s.barPad,O=s.barLength+2*s.barPad,I=d+v,D=g;I+P>l&&(I=l-P);var z=this.container.selectAll(\"rect.scrollbar-vertical\").data(C?[0]:[]);z.exit().on(\".drag\",null).remove(),z.enter().append(\"rect\").classed(\"scrollbar-vertical\",!0).call(i.fill,s.barColor),C?(this.vbar=z.attr({rx:s.barRadius,ry:s.barRadius,x:I,y:D,width:P,height:O}),this._vbarYMin=D+O/2,this._vbarTranslateMax=T-O):(delete this.vbar,delete this._vbarYMin,delete this._vbarTranslateMax);var R=this.id,F=c-.5,B=C?f+P+.5:f+.5,N=h-.5,j=k?p+M+.5:p+.5,U=o._topdefs.selectAll(\"#\"+R).data(k||C?[0]:[]);if(U.exit().remove(),U.enter().append(\"clipPath\").attr(\"id\",R).append(\"rect\"),k||C?(this._clipRect=U.select(\"rect\").attr({x:Math.floor(F),y:Math.floor(N),width:Math.ceil(B)-Math.floor(F),height:Math.ceil(j)-Math.floor(N)}),this.container.call(a.setClipUrl,R,this.gd),this.bg.attr({x:d,y:g,width:v,height:y})):(this.bg.attr({width:0,height:0}),this.container.on(\"wheel\",null).on(\".drag\",null).call(a.setClipUrl,null),delete this._clipRect),k||C){var V=n.behavior.drag().on(\"dragstart\",(function(){n.event.sourceEvent.preventDefault()})).on(\"drag\",this._onBoxDrag.bind(this));this.container.on(\"wheel\",null).on(\"wheel\",this._onBoxWheel.bind(this)).on(\".drag\",null).call(V);var H=n.behavior.drag().on(\"dragstart\",(function(){n.event.sourceEvent.preventDefault(),n.event.sourceEvent.stopPropagation()})).on(\"drag\",this._onBarDrag.bind(this));k&&this.hbar.on(\".drag\",null).call(H),C&&this.vbar.on(\".drag\",null).call(H)}this.setTranslate(e,r)},s.prototype.disable=function(){(this.hbar||this.vbar)&&(this.bg.attr({width:0,height:0}),this.container.on(\"wheel\",null).on(\".drag\",null).call(a.setClipUrl,null),delete this._clipRect),this.hbar&&(this.hbar.on(\".drag\",null),this.hbar.remove(),delete this.hbar,delete this._hbarXMin,delete this._hbarTranslateMax),this.vbar&&(this.vbar.on(\".drag\",null),this.vbar.remove(),delete this.vbar,delete this._vbarYMin,delete this._vbarTranslateMax)},s.prototype._onBoxDrag=function(){var t=this.translateX,e=this.translateY;this.hbar&&(t-=n.event.dx),this.vbar&&(e-=n.event.dy),this.setTranslate(t,e)},s.prototype._onBoxWheel=function(){var 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i=\"title.automargin\",s=t._fullLayout.title,l=s.y>.5?\"t\":\"b\",u={x:s.x,y:s.y,t:0,b:0},c={};\"paper\"===s.yref&&function(t,e,r,n,i){var a=\"paper\"===e.yref?t._fullLayout._size.h:t._fullLayout.height,s=o.isTopAnchor(e)?n:n-i,l=\"b\"===r?a-s:s;return!(o.isTopAnchor(e)&&\"t\"===r||o.isBottomAnchor(e)&&\"b\"===r)&&l<i}(t,s,l,e,n)?u[l]=r:\"container\"===s.yref&&(c[l]=r,t._fullLayout._reservedMargin[i]=c),a.allowAutoMargin(t,i),a.autoMargin(t,i,u)}(t,h,y,g),v.attr({x:p,y:h,\"text-anchor\":l,dy:(e=r.yanchor,\"top\"===e?d.CAP_SHIFT+.3+\"em\":\"bottom\"===e?\"-0.3em\":d.MID_SHIFT+\"em\")}).call(s.positionText,p,h))}},e.doTraceStyle=function(t){var r,n=t.calcdata,o=[];for(r=0;r<n.length;r++){var s=n[r],u=s[0]||{},c=u.trace||{},f=c._module||{},h=f.arraysToCalcdata;h&&h(s,c);var p=f.editStyle;p&&o.push({fn:p,cd0:u})}if(o.length){for(r=0;r<o.length;r++){var d=o[r];d.fn(t,d.cd0)}l(t),e.redrawReglTraces(t)}return 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w=e._offset-r.top;w>0&&(n.yt=1,n.t=w)}n[y]=\"free\"===e.anchor?e.position:e._anchorAxis.domain[v[0]],e.title.text!==d._dfltTitle[g]&&(n[l]+=At(e)+(e.title.standoff||0)),e.mirror&&\"free\"!==e.anchor&&((i={x:0,y:0,r:0,l:0,t:0,b:0})[u]=e.linewidth,e.mirror&&!0!==e.mirror&&(i[u]+=f),!0===e.mirror||\"ticks\"===e.mirror?i[y]=e._anchorAxis.domain[v[1]]:\"all\"!==e.mirror&&\"allticks\"!==e.mirror||(i[y]=[e._counterDomainMin,e._counterDomainMax][v[1]]))}lt&&(s=o.getComponentMethod(\"rangeslider\",\"autoMarginOpts\")(t,e)),\"string\"==typeof e.automargin&&(_t(n,e.automargin),_t(i,e.automargin)),a.autoMargin(t,Et(e),n),a.autoMargin(t,Lt(e),i),a.autoMargin(t,Ct(e),s)})),s.syncOrAsync(ot)}}function ut(t){var r=v+(t||\"tick\");return M[r]||(M[r]=function(t,e){var r,n,i,a;return t._selections[e].size()?(r=1/0,n=-1/0,i=1/0,a=-1/0,t._selections[e].each((function(){var 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b,_=n.letter,w=n.font||{},T=n.splomStash||{},k=r(\"visible\",!n.visibleDflt),A=e._template||{},M=e.type||A.type||\"-\";\"date\"===M&&(i.getComponentMethod(\"calendars\",\"handleDefaults\")(t,e,\"calendar\",n.calendar),n.noTicklabelmode||(b=r(\"ticklabelmode\")));var S=\"\";n.noTicklabelposition&&\"multicategory\"!==M||(S=a.coerce(t,e,{ticklabelposition:{valType:\"enumerated\",dflt:\"outside\",values:\"period\"===b?[\"outside\",\"inside\"]:\"x\"===_?[\"outside\",\"inside\",\"outside left\",\"inside left\",\"outside right\",\"inside right\"]:[\"outside\",\"inside\",\"outside top\",\"inside top\",\"outside bottom\",\"inside bottom\"]}},\"ticklabelposition\")),n.noTicklabeloverflow||r(\"ticklabeloverflow\",-1!==S.indexOf(\"inside\")?\"hide past domain\":\"category\"===M||\"multicategory\"===M?\"allow\":\"hide past div\"),g(e,m),v(t,e,r,n),p(t,e,r,n),\"category\"===M||n.noHover||r(\"hoverformat\");var E=r(\"color\"),L=E!==l.color.dflt?E:w.color,C=T.label||m._dfltTitle[_];if(h(t,e,r,M,n),!k)return e;r(\"title.text\",C),a.coerceFont(r,\"title.font\",{family:w.family,size:a.bigFont(w.size),color:L}),u(t,e,r,M);var P=n.hasMinor;if(P&&(o.newContainer(e,\"minor\"),u(t,e,r,M,{isMinor:!0})),f(t,e,r,M,n),c(t,e,r,n),P){var O=n.isMinor;n.isMinor=!0,c(t,e,r,n),n.isMinor=O}d(t,e,r,{dfltColor:E,bgColor:n.bgColor,showGrid:n.showGrid,hasMinor:P,attributes:l}),!P||e.minor.ticks||e.minor.showgrid||delete e.minor,(e.showline||e.ticks)&&r(\"mirror\");var I,D=\"multicategory\"===M;if(n.noTickson||\"category\"!==M&&!D||!e.ticks&&!e.showgrid||(D&&(I=\"boundaries\"),\"boundaries\"===r(\"tickson\",I)&&delete e.ticklabelposition),D&&r(\"showdividers\")&&(r(\"dividercolor\"),r(\"dividerwidth\")),\"date\"===M)if(s(t,e,{name:\"rangebreaks\",inclusionAttr:\"enabled\",handleItemDefaults:x}),e.rangebreaks.length){for(var z=0;z<e.rangebreaks.length;z++)if(e.rangebreaks[z].pattern===y){e._hasDayOfWeekBreaks=!0;break}if(g(e,m),m._has(\"scattergl\")||m._has(\"splom\"))for(var R=0;R<n.data.length;R++){var F=n.data[R];\"scattergl\"!==F.type&&\"splom\"!==F.type||(F.visible=!1,a.warn(F.type+\" traces do not work on axes with rangebreaks. Setting trace \"+F.index+\" to `visible: false`.\"))}}else delete e.rangebreaks;return e};var b={sun:1,mon:2,tue:3,wed:4,thu:5,fri:6,sat:7};function _(t){if(\"string\"==typeof t)return b[t.substr(0,3).toLowerCase()]}},12663:function(t,e,r){\"use strict\";var n=r(31562),i=n.FORMAT_LINK,a=n.DATE_FORMAT_LINK;function o(t,e){return[\"Sets the \"+t+\" formatting rule\"+(e?\"for `\"+e+\"` \":\"\"),\"using d3 formatting mini-languages\",\"which are very similar to those in Python. For numbers, see: \"+i+\".\"].join(\" \")}function s(t,e){return o(t,e)+[\" And for dates see: \"+a+\".\",\"We add two items to d3's date formatter:\",\"*%h* for half of the year as a decimal number as well as\",\"*%{n}f* for fractional seconds\",\"with n digits. 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a=Pt.dragmode,s=t._fullLayout.dragmode;s!==a&&(Pt.dragmode=s),mt(),pt=t._fullLayout._invScaleX,dt=t._fullLayout._invScaleY,ot||(gt?e.shiftKey?\"pan\"===s?s=\"zoom\":m(s)||(s=\"pan\"):e.ctrlKey&&(s=\"pan\"):s=\"pan\"),x(s)?Pt.minDrag=1:Pt.minDrag=void 0,m(s)?(Pt.xaxes=J,Pt.yaxes=K,A(e,r,n,Pt,s)):(Pt.clickFn=It,m(a)&&Ot(),ot||(\"zoom\"===s?(Pt.moveFn=Dt,Pt.doneFn=Rt,Pt.minDrag=1,function(e,r,n){var a=bt.getBoundingClientRect();_t=r-a.left,wt=n-a.top,t._fullLayout._calcInverseTransform(t);var s=i.apply3DTransform(t._fullLayout._invTransform)(_t,wt);_t=s[0],wt=s[1],Tt={l:_t,r:_t,w:0,t:wt,b:wt,h:0},kt=t._hmpixcount?t._hmlumcount/t._hmpixcount:o(t._fullLayout.plot_bgcolor).getLuminance(),Mt=!1,St=\"xy\",Ct=!1,Et=N(vt,kt,$,Q,At=\"M0,0H\"+tt+\"V\"+et+\"H0V0\"),Lt=j(vt,$,Q)}(0,r,n)):\"pan\"===s&&(Pt.moveFn=Ut,Pt.doneFn=Gt))),t._fullLayout._redrag=function(){var e=t._dragdata;if(e&&e.element===bt){var r=t._fullLayout.dragmode;m(r)||(mt(),Zt([0,0,tt,et]),Pt.moveFn(e.dx,e.dy))}}},g.init(Pt);var 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a=r[i],o=a._id,s=nt.xLinks[o]||nt.yLinks[o],l=n[0]||V[s]||X[s];l&&(e?(e[a._name+\".range[0]\"]=e[l._name+\".range[0]\"],e[a._name+\".range[1]\"]=e[l._name+\".range[1]\"]):a.range=l.range.slice())}}function Ht(){var r,n=[];function i(t){for(r=0;r<t.length;r++)t[r].fixedrange||n.push(t[r]._id)}function a(t,e){for(r=0;r<t.length;r++){var i=t[r],a=i[e];i.fixedrange||\"sync\"!==a.tickmode||n.push(a._id)}}for(st&&(i(J),i(rt.xaxes),i(nt.xaxes),a(e.overlays,\"xaxis\")),lt&&(i(K),i(rt.yaxes),i(nt.yaxes),a(e.overlays,\"yaxis\")),ht={},r=0;r<n.length;r++){var o=n[r],s=k(t,o);d.drawOne(t,s,{skipTitle:!0}),ht[s._name+\".range[0]\"]=s.range[0],ht[s._name+\".range[1]\"]=s.range[1]}d.redrawComponents(t,n)}function qt(){if(!t._transitioningWithDuration){var e=t._context.doubleClick,r=[];it&&(r=r.concat(J)),at&&(r=r.concat(K)),nt.xaxes&&(r=r.concat(nt.xaxes)),nt.yaxes&&(r=r.concat(nt.yaxes));var n,i,a={};if(\"reset+autosize\"===e)for(e=\"autosize\",i=0;i<r.length;i++){var 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Gt(){Zt([0,0,tt,et]),i.syncOrAsync([T.previousPromises,function(){t._fullLayout._replotting=!1,l.call(\"_guiRelayout\",t,ht)}],t)}function Zt(e){var r,n,a,o,s=t._fullLayout,u=s._plots,c=s._subplots.cartesian;if(ct&&l.subplotsRegistry.splom.drag(t),ut)for(r=0;r<c.length;r++)if(a=(n=u[c[r]]).xaxis,o=n.yaxis,n._scene){var f=i.simpleMap(a.range,a.r2l),p=i.simpleMap(o.range,o.r2l);a.limitRange&&a.limitRange(),o.limitRange&&o.limitRange(),f=a.range,p=o.range,n._scene.update({range:[f[0],p[0],f[1],p[1]]})}if((ct||ut)&&(_(t),w(t)),ft){var d=e[2]/O._length,g=e[3]/I._length;for(r=0;r<c.length;r++){a=(n=u[c[r]]).xaxis,o=n.yaxis;var m,x,b,T,k=(st||nt.isSubplotConstrained)&&!a.fixedrange&&V[a._id],A=(lt||nt.isSubplotConstrained)&&!o.fixedrange&&X[o._id];if(k?(m=d,b=y||nt.isSubplotConstrained?e[0]:Xt(a,m)):nt.xaHash[a._id]?(m=d,b=e[0]*a._length/O._length):nt.yaHash[a._id]?(m=g,b=\"ns\"===at?-e[1]*a._length/I._length:Xt(a,m,{n:\"top\",s:\"bottom\"}[at])):b=Wt(a,m=Yt(a,d,g)),m>1&&(void 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t.fixedrange?0:st&&rt.xaHash[t._id]?e:lt&&(rt.isSubplotConstrained?rt.xaHash:rt.yaHash)[t._id]?r:0}function Wt(t,e){return e?(t.range=t._r.slice(),E(t,e),Xt(t,e)):0}function Xt(t,e,r){return t._length*(1-e)*b[r||t.constraintoward||\"middle\"]}return v.length*y.length!=1&&Y(bt,(function(e){if(t._context._scrollZoom.cartesian||t._fullLayout._enablescrollzoom){if(Ot(),t._transitioningWithDuration)return e.preventDefault(),void e.stopPropagation();mt(),clearTimeout(Bt);var r=-e.deltaY;if(isFinite(r)||(r=e.wheelDelta/10),isFinite(r)){var n,a=Math.exp(-Math.min(Math.max(r,-20),20)/200),o=jt.draglayer.select(\".nsewdrag\").node().getBoundingClientRect(),s=(e.clientX-o.left)/o.width,l=(o.bottom-e.clientY)/o.height;if(st){for(y||(s=.5),n=0;n<J.length;n++)u(J[n],s,a);Vt(\"x\"),Ft[2]*=a,Ft[0]+=Ft[2]*s*(1/a-1)}if(lt){for(v||(l=.5),n=0;n<K.length;n++)u(K[n],l,a);Vt(\"y\"),Ft[3]*=a,Ft[1]+=Ft[3]*(1-l)*(1/a-1)}Zt(Ft),Ht(),t.emit(\"plotly_relayouting\",ht),Bt=setTimeout((function(){t._fullLayout&&(Ft=[0,0,tt,et],Gt())}),Nt),e.preventDefault()}else i.log(\"Did not find wheel motion attributes: \",e)}function u(t,e,r){if(!t.fixedrange){var n=i.simpleMap(t.range,t.r2l),a=n[0]+(n[1]-n[0])*e;t.range=n.map((function(e){return t.l2r(a+(e-a)*r)}))}}})),bt},makeDragger:I,makeRectDragger:D,makeZoombox:N,makeCorners:j,updateZoombox:U,xyCorners:G,transitionZoombox:V,removeZoombox:H,showDoubleClickNotifier:q,attachWheelEventHandler:Y}},4305:function(t,e,r){\"use strict\";var n=r(39898),i=r(30211),a=r(28569),o=r(6964),s=r(29323).makeDragBox,l=r(85555).DRAGGERSIZE;e.initInteractions=function(t){var r=t._fullLayout;if(t._context.staticPlot)n.select(t).selectAll(\".drag\").remove();else if(r._has(\"cartesian\")||r._has(\"splom\")){Object.keys(r._plots||{}).sort((function(t,e){if((r._plots[t].mainplot&&!0)===(r._plots[e].mainplot&&!0)){var n=t.split(\"y\"),i=e.split(\"y\");return n[0]===i[0]?Number(n[1]||1)-Number(i[1]||1):Number(n[0]||1)-Number(i[0]||1)}return r._plots[t].mainplot?1:-1})).forEach((function(e){var n=r._plots[e],o=n.xaxis,u=n.yaxis;if(!n.mainplot){var 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_=(l[3]-l[1])/(l[2]-l[0]);Math.abs(a*_)>Math.abs(s)?(u.boxEnd[1]=u.boxStart[1]+Math.abs(a)*_*(s>=0?1:-1),u.boxEnd[1]<l[1]?(u.boxEnd[1]=l[1],u.boxEnd[0]=u.boxStart[0]+(l[1]-u.boxStart[1])/Math.abs(_)):u.boxEnd[1]>l[3]&&(u.boxEnd[1]=l[3],u.boxEnd[0]=u.boxStart[0]+(l[3]-u.boxStart[1])/Math.abs(_))):(u.boxEnd[0]=u.boxStart[0]+Math.abs(s)/_*(a>=0?1:-1),u.boxEnd[0]<l[0]?(u.boxEnd[0]=l[0],u.boxEnd[1]=u.boxStart[1]+(l[0]-u.boxStart[0])*Math.abs(_)):u.boxEnd[0]>l[2]&&(u.boxEnd[0]=l[2],u.boxEnd[1]=u.boxStart[1]+(l[2]-u.boxStart[0])*Math.abs(_)))}}else u.boxEnabled?(a=u.boxStart[0]!==u.boxEnd[0],s=u.boxStart[1]!==u.boxEnd[1],a||s?(a&&(g(0,u.boxStart[0],u.boxEnd[0]),t.xaxis.autorange=!1),s&&(g(1,u.boxStart[1],u.boxEnd[1]),t.yaxis.autorange=!1),t.relayoutCallback()):t.glplot.setDirty(),u.boxEnabled=!1,u.boxInited=!1):u.boxInited&&(u.boxInited=!1);break;case\"pan\":u.boxEnabled=!1,u.boxInited=!1,e?(u.panning||(u.dragStart[0]=n,u.dragStart[1]=i),Math.abs(u.dragStart[0]-n)<d&&(n=u.dragStart[0]),Math.abs(u.dragStart[1]-i)<d&&(i=u.dragStart[1]),a=(h-n)*(l[2]-l[0])/(r.viewBox[2]-r.viewBox[0]),s=(p-i)*(l[3]-l[1])/(r.viewBox[3]-r.viewBox[1]),l[0]+=a,l[2]+=a,l[1]+=s,l[3]+=s,t.setRanges(l),u.panning=!0,u.lastInputTime=Date.now(),c(),t.cameraChanged(),t.handleAnnotations()):u.panning&&(u.panning=!1,t.relayoutCallback())}u.lastPos[0]=n,u.lastPos[1]=i}return u.mouseListener=n(e,f),e.addEventListener(\"touchstart\",(function(t){var r=a(t.changedTouches[0],e);f(0,r[0],r[1]),f(1,r[0],r[1]),t.preventDefault()}),!!s&&{passive:!1}),e.addEventListener(\"touchmove\",(function(t){t.preventDefault();var r=a(t.changedTouches[0],e);f(1,r[0],r[1]),t.preventDefault()}),!!s&&{passive:!1}),e.addEventListener(\"touchend\",(function(t){f(0,u.lastPos[0],u.lastPos[1]),t.preventDefault()}),!!s&&{passive:!1}),u.wheelListener=i(e,(function(e,n){if(!t.scrollZoom)return!1;var i=t.calcDataBox(),a=r.viewBox,o=u.lastPos[0],s=u.lastPos[1],l=Math.exp(5*n/(a[3]-a[1])),f=o/(a[2]-a[0])*(i[2]-i[0])+i[0],h=s/(a[3]-a[1])*(i[3]-i[1])+i[1];return i[0]=(i[0]-f)*l+f,i[2]=(i[2]-f)*l+f,i[1]=(i[1]-h)*l+h,i[3]=(i[3]-h)*l+h,t.setRanges(i),u.lastInputTime=Date.now(),c(),t.cameraChanged(),t.handleAnnotations(),t.relayoutCallback(),!0}),!0),u}},82961:function(t,e,r){\"use strict\";var n=r(89298),i=r(78614);function a(t){this.scene=t,this.gl=t.gl,this.pixelRatio=t.pixelRatio,this.screenBox=[0,0,1,1],this.viewBox=[0,0,1,1],this.dataBox=[-1,-1,1,1],this.borderLineEnable=[!1,!1,!1,!1],this.borderLineWidth=[1,1,1,1],this.borderLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.ticks=[[],[]],this.tickEnable=[!0,!0,!1,!1],this.tickPad=[15,15,15,15],this.tickAngle=[0,0,0,0],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickMarkLength=[0,0,0,0],this.tickMarkWidth=[0,0,0,0],this.tickMarkColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labels=[\"x\",\"y\"],this.labelEnable=[!0,!0,!1,!1],this.labelAngle=[0,Math.PI/2,0,3*Math.PI/2],this.labelPad=[15,15,15,15],this.labelSize=[12,12],this.labelFont=[\"sans-serif\",\"sans-serif\"],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.title=\"\",this.titleEnable=!0,this.titleCenter=[0,0,0,0],this.titleAngle=0,this.titleColor=[0,0,0,1],this.titleFont=\"sans-serif\",this.titleSize=18,this.gridLineEnable=[!0,!0],this.gridLineColor=[[0,0,0,.5],[0,0,0,.5]],this.gridLineWidth=[1,1],this.zeroLineEnable=[!0,!0],this.zeroLineWidth=[1,1],this.zeroLineColor=[[0,0,0,1],[0,0,0,1]],this.borderColor=[0,0,0,0],this.backgroundColor=[0,0,0,0],this.static=this.scene.staticPlot}var o=a.prototype,s=[\"xaxis\",\"yaxis\"];o.merge=function(t){var e,r,n,a,o,l,u,c,f,h,p;for(this.titleEnable=!1,this.backgroundColor=i(t.plot_bgcolor),h=0;h<2;++h){var d=(e=s[h]).charAt(0);for(n=(r=t[this.scene[e]._name]).title.text===this.scene.fullLayout._dfltTitle[d]?\"\":r.title.text,p=0;p<=2;p+=2)this.labelEnable[h+p]=!1,this.labels[h+p]=n,this.labelColor[h+p]=i(r.title.font.color),this.labelFont[h+p]=r.title.font.family,this.labelSize[h+p]=r.title.font.size,this.labelPad[h+p]=this.getLabelPad(e,r),this.tickEnable[h+p]=!1,this.tickColor[h+p]=i((r.tickfont||{}).color),this.tickAngle[h+p]=\"auto\"===r.tickangle?0:Math.PI*-r.tickangle/180,this.tickPad[h+p]=this.getTickPad(r),this.tickMarkLength[h+p]=0,this.tickMarkWidth[h+p]=r.tickwidth||0,this.tickMarkColor[h+p]=i(r.tickcolor),this.borderLineEnable[h+p]=!1,this.borderLineColor[h+p]=i(r.linecolor),this.borderLineWidth[h+p]=r.linewidth||0;u=this.hasSharedAxis(r),o=this.hasAxisInDfltPos(e,r)&&!u,l=this.hasAxisInAltrPos(e,r)&&!u,a=r.mirror||!1,c=u?-1!==String(a).indexOf(\"all\"):!!a,f=u?\"allticks\"===a:-1!==String(a).indexOf(\"ticks\"),o?this.labelEnable[h]=!0:l&&(this.labelEnable[h+2]=!0),o?this.tickEnable[h]=r.showticklabels:l&&(this.tickEnable[h+2]=r.showticklabels),(o||c)&&(this.borderLineEnable[h]=r.showline),(l||c)&&(this.borderLineEnable[h+2]=r.showline),(o||f)&&(this.tickMarkLength[h]=this.getTickMarkLength(r)),(l||f)&&(this.tickMarkLength[h+2]=this.getTickMarkLength(r)),this.gridLineEnable[h]=r.showgrid,this.gridLineColor[h]=i(r.gridcolor),this.gridLineWidth[h]=r.gridwidth,this.zeroLineEnable[h]=r.zeroline,this.zeroLineColor[h]=i(r.zerolinecolor),this.zeroLineWidth[h]=r.zerolinewidth}},o.hasSharedAxis=function(t){var e=this.scene,r=e.fullLayout._subplots.gl2d;return 0!==n.findSubplotsWithAxis(r,t).indexOf(e.id)},o.hasAxisInDfltPos=function(t,e){var r=e.side;return\"xaxis\"===t?\"bottom\"===r:\"yaxis\"===t?\"left\"===r:void 0},o.hasAxisInAltrPos=function(t,e){var r=e.side;return\"xaxis\"===t?\"top\"===r:\"yaxis\"===t?\"right\"===r:void 0},o.getLabelPad=function(t,e){var r=1.5,n=e.title.font.size,i=e.showticklabels;return\"xaxis\"===t?\"top\"===e.side?n*(r+(i?1:0))-10:n*(r+(i?.5:0))-10:\"yaxis\"===t?\"right\"===e.side?10+n*(r+(i?1:.5)):10+n*(r+(i?.5:0)):void 0},o.getTickPad=function(t){return\"outside\"===t.ticks?10+t.ticklen:15},o.getTickMarkLength=function(t){if(!t.ticks)return 0;var e=t.ticklen;return\"inside\"===t.ticks?-e:e},t.exports=function(t){return new a(t)}},4796:function(t,e,r){\"use strict\";var n=r(30962).overrideAll,i=r(92918),a=r(10820),o=r(77922),s=r(85555),l=r(93612),u=r(528),c=r(27659).NG;e.name=\"gl2d\",e.attr=[\"xaxis\",\"yaxis\"],e.idRoot=[\"x\",\"y\"],e.idRegex=s.idRegex,e.attrRegex=s.attrRegex,e.attributes=r(89502),e.supplyLayoutDefaults=function(t,e,r){e._has(\"cartesian\")||l.supplyLayoutDefaults(t,e,r)},e.layoutAttrOverrides=n(l.layoutAttributes,\"plot\",\"from-root\"),e.baseLayoutAttrOverrides=n({plot_bgcolor:a.plot_bgcolor,hoverlabel:u.hoverlabel},\"plot\",\"nested\"),e.plot=function(t){for(var e=t._fullLayout,r=t._fullData,n=e._subplots.gl2d,a=0;a<n.length;a++){var o=n[a],s=e._plots[o],l=c(r,\"gl2d\",o),u=s._scene2d;void 0===u&&(u=new i({id:o,graphDiv:t,container:t.querySelector(\".gl-container\"),staticPlot:t._context.staticPlot,plotGlPixelRatio:t._context.plotGlPixelRatio},e),s._scene2d=u),u.plot(l,t.calcdata,e,t.layout)}},e.clean=function(t,e,r,n){for(var i=n._subplots.gl2d||[],a=0;a<i.length;a++){var o=i[a],s=n._plots[o];s._scene2d&&0===c(t,\"gl2d\",o).length&&(s._scene2d.destroy(),delete n._plots[o])}l.clean.apply(this,arguments)},e.drawFramework=function(t){t._context.staticPlot||l.drawFramework(t)},e.toSVG=function(t){for(var e=t._fullLayout,r=e._subplots.gl2d,n=0;n<r.length;n++){var i=e._plots[r[n]]._scene2d,a=i.toImage(\"png\");e._glimages.append(\"svg:image\").attr({xmlns:o.svg,\"xlink:href\":a,x:0,y:0,width:\"100%\",height:\"100%\",preserveAspectRatio:\"none\"}),i.destroy()}},e.updateFx=function(t){for(var e=t._fullLayout,r=e._subplots.gl2d,n=0;n<r.length;n++)e._plots[r[n]]._scene2d.updateFx(e.dragmode)}},92918:function(t,e,r){\"use strict\";var n,i,a=r(73972),o=r(89298),s=r(30211),l=r(9330).gl_plot2d,u=r(9330).gl_spikes2d,c=r(9330).gl_select_box,f=r(40372),h=r(82961),p=r(75071),d=r(58617),v=r(99082),g=v.enforce,y=v.clean,m=r(71739).doAutoRange,x=r(64505),b=x.drawMode,_=x.selectMode,w=[\"xaxis\",\"yaxis\"],T=r(85555).SUBPLOT_PATTERN;function k(t,e){this.container=t.container,this.graphDiv=t.graphDiv,this.pixelRatio=t.plotGlPixelRatio||window.devicePixelRatio,this.id=t.id,this.staticPlot=!!t.staticPlot,this.scrollZoom=this.graphDiv._context._scrollZoom.cartesian,this.fullData=null,this.updateRefs(e),this.makeFramework(),this.stopped||(this.glplotOptions=h(this),this.glplotOptions.merge(e),this.glplot=l(this.glplotOptions),this.camera=p(this),this.traces={},this.spikes=u(this.glplot),this.selectBox=c(this.glplot,{innerFill:!1,outerFill:!0}),this.lastButtonState=0,this.pickResult=null,this.isMouseOver=!0,this.stopped=!1,this.redraw=this.draw.bind(this),this.redraw())}t.exports=k;var A=k.prototype;A.makeFramework=function(){if(this.staticPlot){if(!(i||(n=document.createElement(\"canvas\"),i=f({canvas:n,preserveDrawingBuffer:!1,premultipliedAlpha:!0,antialias:!0}))))throw new Error(\"Error creating static canvas/context for image server\");this.canvas=n,this.gl=i}else{var t=this.container.querySelector(\".gl-canvas-focus\"),e=f({canvas:t,preserveDrawingBuffer:!0,premultipliedAlpha:!0});if(!e)return d(this),void(this.stopped=!0);this.canvas=t,this.gl=e}var r=this.canvas;r.style.width=\"100%\",r.style.height=\"100%\",r.style.position=\"absolute\",r.style.top=\"0px\",r.style.left=\"0px\",r.style[\"pointer-events\"]=\"none\",this.updateSize(r);var a=this.svgContainer=document.createElementNS(\"http://www.w3.org/2000/svg\",\"svg\");a.style.position=\"absolute\",a.style.top=a.style.left=\"0px\",a.style.width=a.style.height=\"100%\",a.style[\"z-index\"]=20,a.style[\"pointer-events\"]=\"none\";var o=this.mouseContainer=document.createElement(\"div\");o.style.position=\"absolute\",o.style[\"pointer-events\"]=\"auto\",this.pickCanvas=this.container.querySelector(\".gl-canvas-pick\");var s=this.container;s.appendChild(a),s.appendChild(o);var l=this;o.addEventListener(\"mouseout\",(function(){l.isMouseOver=!1,l.unhover()})),o.addEventListener(\"mouseover\",(function(){l.isMouseOver=!0}))},A.toImage=function(t){t||(t=\"png\"),this.stopped=!0,this.staticPlot&&this.container.appendChild(n),this.updateSize(this.canvas);var e=this.glplot.gl,r=e.drawingBufferWidth,i=e.drawingBufferHeight;e.clearColor(1,1,1,0),e.clear(e.COLOR_BUFFER_BIT|e.DEPTH_BUFFER_BIT),this.glplot.setDirty(),this.glplot.draw(),e.bindFramebuffer(e.FRAMEBUFFER,null);var a=new Uint8Array(r*i*4);e.readPixels(0,0,r,i,e.RGBA,e.UNSIGNED_BYTE,a);for(var o=0,s=i-1;o<s;++o,--s)for(var l=0;l<r;++l)for(var u=0;u<4;++u){var c=a[4*(r*o+l)+u];a[4*(r*o+l)+u]=a[4*(r*s+l)+u],a[4*(r*s+l)+u]=c}var f=document.createElement(\"canvas\");f.width=r,f.height=i;var h,p=f.getContext(\"2d\",{willReadFrequently:!0}),d=p.createImageData(r,i);switch(d.data.set(a),p.putImageData(d,0,0),t){case\"jpeg\":h=f.toDataURL(\"image/jpeg\");break;case\"webp\":h=f.toDataURL(\"image/webp\");break;default:h=f.toDataURL(\"image/png\")}return this.staticPlot&&this.container.removeChild(n),h},A.updateSize=function(t){t||(t=this.canvas);var e=this.pixelRatio,r=this.fullLayout,n=r.width,i=r.height,a=0|Math.ceil(e*n),o=0|Math.ceil(e*i);return t.width===a&&t.height===o||(t.width=a,t.height=o),t},A.computeTickMarks=function(){this.xaxis.setScale(),this.yaxis.setScale();for(var t=[o.calcTicks(this.xaxis),o.calcTicks(this.yaxis)],e=0;e<2;++e)for(var r=0;r<t[e].length;++r)t[e][r].text=t[e][r].text+\"\";return t},A.updateRefs=function(t){this.fullLayout=t;var e=this.id.match(T),r=\"xaxis\"+e[1],n=\"yaxis\"+e[2];this.xaxis=this.fullLayout[r],this.yaxis=this.fullLayout[n]},A.relayoutCallback=function(){var t=this.graphDiv,e=this.xaxis,r=this.yaxis,n=t.layout,i={},o=i[e._name+\".range\"]=e.range.slice(),s=i[r._name+\".range\"]=r.range.slice();i[e._name+\".autorange\"]=e.autorange,i[r._name+\".autorange\"]=r.autorange,a.call(\"_storeDirectGUIEdit\",t.layout,t._fullLayout._preGUI,i);var l=n[e._name];l.range=o,l.autorange=e.autorange;var u=n[r._name];u.range=s,u.autorange=r.autorange,i.lastInputTime=this.camera.lastInputTime,t.emit(\"plotly_relayout\",i)},A.cameraChanged=function(){var t=this.camera;this.glplot.setDataBox(this.calcDataBox());var e=this.computeTickMarks();(function(t,e){for(var r=0;r<2;++r){var n=t[r],i=e[r];if(n.length!==i.length)return!0;for(var a=0;a<n.length;++a)if(n[a].x!==i[a].x)return!0}return!1})(e,this.glplotOptions.ticks)&&(this.glplotOptions.ticks=e,this.glplotOptions.dataBox=t.dataBox,this.glplot.update(this.glplotOptions),this.handleAnnotations())},A.handleAnnotations=function(){for(var t=this.graphDiv,e=this.fullLayout.annotations,r=0;r<e.length;r++){var n=e[r];n.xref===this.xaxis._id&&n.yref===this.yaxis._id&&a.getComponentMethod(\"annotations\",\"drawOne\")(t,r)}},A.destroy=function(){if(this.glplot){var t=this.traces;t&&Object.keys(t).map((function(e){t[e].dispose(),delete t[e]})),this.glplot.dispose(),this.container.removeChild(this.svgContainer),this.container.removeChild(this.mouseContainer),this.fullData=null,this.glplot=null,this.stopped=!0,this.camera.mouseListener.enabled=!1,this.mouseContainer.removeEventListener(\"wheel\",this.camera.wheelListener),this.camera=null}},A.plot=function(t,e,r){var n=this.glplot;this.updateRefs(r),this.xaxis.clearCalc(),this.yaxis.clearCalc(),this.updateTraces(t,e),this.updateFx(r.dragmode);var i=r.width,a=r.height;this.updateSize(this.canvas);var o=this.glplotOptions;o.merge(r),o.screenBox=[0,0,i,a];var s={_fullLayout:{_axisConstraintGroups:r._axisConstraintGroups,xaxis:this.xaxis,yaxis:this.yaxis,_size:r._size}};y(s,this.xaxis),y(s,this.yaxis);var l,u,c=r._size,f=this.xaxis.domain,h=this.yaxis.domain;for(o.viewBox=[c.l+f[0]*c.w,c.b+h[0]*c.h,i-c.r-(1-f[1])*c.w,a-c.t-(1-h[1])*c.h],this.mouseContainer.style.width=c.w*(f[1]-f[0])+\"px\",this.mouseContainer.style.height=c.h*(h[1]-h[0])+\"px\",this.mouseContainer.height=c.h*(h[1]-h[0]),this.mouseContainer.style.left=c.l+f[0]*c.w+\"px\",this.mouseContainer.style.top=c.t+(1-h[1])*c.h+\"px\",u=0;u<2;++u)(l=this[w[u]])._length=o.viewBox[u+2]-o.viewBox[u],m(this.graphDiv,l),l.setScale();g(s),o.ticks=this.computeTickMarks(),o.dataBox=this.calcDataBox(),o.merge(r),n.update(o),this.glplot.draw()},A.calcDataBox=function(){var t=this.xaxis,e=this.yaxis,r=t.range,n=e.range,i=t.r2l,a=e.r2l;return[i(r[0]),a(n[0]),i(r[1]),a(n[1])]},A.setRanges=function(t){var e=this.xaxis,r=this.yaxis,n=e.l2r,i=r.l2r;e.range=[n(t[0]),n(t[2])],r.range=[i(t[1]),i(t[3])]},A.updateTraces=function(t,e){var r,n,i,a=Object.keys(this.traces);this.fullData=t;t:for(r=0;r<a.length;r++){var o=a[r],s=this.traces[o];for(n=0;n<t.length;n++)if((i=t[n]).uid===o&&i.type===s.type)continue t;s.dispose(),delete this.traces[o]}for(r=0;r<t.length;r++){i=t[r];var l=e[r],u=this.traces[i.uid];u?u.update(i,l):(u=i._module.plot(this,i,l),this.traces[i.uid]=u)}this.glplot.objects.sort((function(t,e){return t._trace.index-e._trace.index}))},A.updateFx=function(t){_(t)||b(t)?(this.pickCanvas.style[\"pointer-events\"]=\"none\",this.mouseContainer.style[\"pointer-events\"]=\"none\"):(this.pickCanvas.style[\"pointer-events\"]=\"auto\",this.mouseContainer.style[\"pointer-events\"]=\"auto\"),this.mouseContainer.style.cursor=\"pan\"===t?\"move\":\"zoom\"===t?\"crosshair\":null},A.emitPointAction=function(t,e){for(var r,n=t.trace.uid,i=t.pointIndex,a=0;a<this.fullData.length;a++)this.fullData[a].uid===n&&(r=this.fullData[a]);var o={x:t.traceCoord[0],y:t.traceCoord[1],curveNumber:r.index,pointNumber:i,data:r._input,fullData:this.fullData,xaxis:this.xaxis,yaxis:this.yaxis};s.appendArrayPointValue(o,r,i),this.graphDiv.emit(e,{points:[o]})},A.draw=function(){if(!this.stopped){requestAnimationFrame(this.redraw);var t=this.glplot,e=this.camera,r=e.mouseListener,n=1===this.lastButtonState&&0===r.buttons,i=this.fullLayout;this.lastButtonState=r.buttons,this.cameraChanged();var a,o=r.x*t.pixelRatio,l=this.canvas.height-t.pixelRatio*r.y;if(e.boxEnabled&&\"zoom\"===i.dragmode){this.selectBox.enabled=!0;for(var u=this.selectBox.selectBox=[Math.min(e.boxStart[0],e.boxEnd[0]),Math.min(e.boxStart[1],e.boxEnd[1]),Math.max(e.boxStart[0],e.boxEnd[0]),Math.max(e.boxStart[1],e.boxEnd[1])],c=0;c<2;c++)e.boxStart[c]===e.boxEnd[c]&&(u[c]=t.dataBox[c],u[c+2]=t.dataBox[c+2]);t.setDirty()}else if(!e.panning&&this.isMouseOver){this.selectBox.enabled=!1;var f=i._size,h=this.xaxis.domain,p=this.yaxis.domain,d=(a=t.pick(o/t.pixelRatio+f.l+h[0]*f.w,l/t.pixelRatio-(f.t+(1-p[1])*f.h)))&&a.object._trace.handlePick(a);if(d&&n&&this.emitPointAction(d,\"plotly_click\"),a&&\"skip\"!==a.object._trace.hoverinfo&&i.hovermode&&d&&(!this.lastPickResult||this.lastPickResult.traceUid!==d.trace.uid||this.lastPickResult.dataCoord[0]!==d.dataCoord[0]||this.lastPickResult.dataCoord[1]!==d.dataCoord[1])){var v=d;this.lastPickResult={traceUid:d.trace?d.trace.uid:null,dataCoord:d.dataCoord.slice()},this.spikes.update({center:a.dataCoord}),v.screenCoord=[((t.viewBox[2]-t.viewBox[0])*(a.dataCoord[0]-t.dataBox[0])/(t.dataBox[2]-t.dataBox[0])+t.viewBox[0])/t.pixelRatio,(this.canvas.height-(t.viewBox[3]-t.viewBox[1])*(a.dataCoord[1]-t.dataBox[1])/(t.dataBox[3]-t.dataBox[1])-t.viewBox[1])/t.pixelRatio],this.emitPointAction(d,\"plotly_hover\");var g=this.fullData[v.trace.index]||{},y=v.pointIndex,m=s.castHoverinfo(g,i,y);if(m&&\"all\"!==m){var x=m.split(\"+\");-1===x.indexOf(\"x\")&&(v.traceCoord[0]=void 0),-1===x.indexOf(\"y\")&&(v.traceCoord[1]=void 0),-1===x.indexOf(\"z\")&&(v.traceCoord[2]=void 0),-1===x.indexOf(\"text\")&&(v.textLabel=void 0),-1===x.indexOf(\"name\")&&(v.name=void 0)}s.loneHover({x:v.screenCoord[0],y:v.screenCoord[1],xLabel:this.hoverFormatter(\"xaxis\",v.traceCoord[0]),yLabel:this.hoverFormatter(\"yaxis\",v.traceCoord[1]),zLabel:v.traceCoord[2],text:v.textLabel,name:v.name,color:s.castHoverOption(g,y,\"bgcolor\")||v.color,borderColor:s.castHoverOption(g,y,\"bordercolor\"),fontFamily:s.castHoverOption(g,y,\"font.family\"),fontSize:s.castHoverOption(g,y,\"font.size\"),fontColor:s.castHoverOption(g,y,\"font.color\"),nameLength:s.castHoverOption(g,y,\"namelength\"),textAlign:s.castHoverOption(g,y,\"align\")},{container:this.svgContainer,gd:this.graphDiv})}}a||this.unhover(),t.draw()}},A.unhover=function(){this.lastPickResult&&(this.spikes.update({}),this.lastPickResult=null,this.graphDiv.emit(\"plotly_unhover\"),s.loneUnhover(this.svgContainer))},A.hoverFormatter=function(t,e){if(void 0!==e){var r=this[t];return o.tickText(r,r.c2l(e),\"hover\").text}}},58547:function(t,e,r){\"use strict\";var n=r(30962).overrideAll,i=r(528),a=r(33539),o=r(27659).NG,s=r(71828),l=r(77922),u=\"gl3d\",c=\"scene\";e.name=u,e.attr=c,e.idRoot=c,e.idRegex=e.attrRegex=s.counterRegex(\"scene\"),e.attributes=r(59084),e.layoutAttributes=r(65500),e.baseLayoutAttrOverrides=n({hoverlabel:i.hoverlabel},\"plot\",\"nested\"),e.supplyLayoutDefaults=r(24682),e.plot=function(t){for(var e=t._fullLayout,r=t._fullData,n=e._subplots[u],i=0;i<n.length;i++){var s=n[i],l=o(r,u,s),c=e[s],f=c.camera,h=c._scene;h||(h=new a({id:s,graphDiv:t,container:t.querySelector(\".gl-container\"),staticPlot:t._context.staticPlot,plotGlPixelRatio:t._context.plotGlPixelRatio,camera:f},e),c._scene=h),h.viewInitial||(h.viewInitial={up:{x:f.up.x,y:f.up.y,z:f.up.z},eye:{x:f.eye.x,y:f.eye.y,z:f.eye.z},center:{x:f.center.x,y:f.center.y,z:f.center.z}}),h.plot(l,e,t.layout)}},e.clean=function(t,e,r,n){for(var i=n._subplots[u]||[],a=0;a<i.length;a++){var o=i[a];!e[o]&&n[o]._scene&&(n[o]._scene.destroy(),n._infolayer&&n._infolayer.selectAll(\".annotation-\"+o).remove())}},e.toSVG=function(t){for(var e=t._fullLayout,r=e._subplots[u],n=e._size,i=0;i<r.length;i++){var a=e[r[i]],o=a.domain,s=a._scene,c=s.toImage(\"png\");e._glimages.append(\"svg:image\").attr({xmlns:l.svg,\"xlink:href\":c,x:n.l+n.w*o.x[0],y:n.t+n.h*(1-o.y[1]),width:n.w*(o.x[1]-o.x[0]),height:n.h*(o.y[1]-o.y[0]),preserveAspectRatio:\"none\"}),s.destroy()}},e.cleanId=function(t){if(t.match(/^scene[0-9]*$/)){var e=t.substr(5);return\"1\"===e&&(e=\"\"),c+e}},e.updateFx=function(t){for(var e=t._fullLayout,r=e._subplots[u],n=0;n<r.length;n++)e[r[n]]._scene.updateFx(e.dragmode,e.hovermode)}},59084:function(t){\"use strict\";t.exports={scene:{valType:\"subplotid\",dflt:\"scene\",editType:\"calc+clearAxisTypes\"}}},77894:function(t,e,r){\"use strict\";var n=r(7901),i=r(13838),a=r(1426).extendFlat,o=r(30962).overrideAll;t.exports=o({visible:i.visible,showspikes:{valType:\"boolean\",dflt:!0},spikesides:{valType:\"boolean\",dflt:!0},spikethickness:{valType:\"number\",min:0,dflt:2},spikecolor:{valType:\"color\",dflt:n.defaultLine},showbackground:{valType:\"boolean\",dflt:!1},backgroundcolor:{valType:\"color\",dflt:\"rgba(204, 204, 204, 0.5)\"},showaxeslabels:{valType:\"boolean\",dflt:!0},color:i.color,categoryorder:i.categoryorder,categoryarray:i.categoryarray,title:{text:i.title.text,font:i.title.font},type:a({},i.type,{values:[\"-\",\"linear\",\"log\",\"date\",\"category\"]}),autotypenumbers:i.autotypenumbers,autorange:i.autorange,autorangeoptions:{minallowed:i.autorangeoptions.minallowed,maxallowed:i.autorangeoptions.maxallowed,clipmin:i.autorangeoptions.clipmin,clipmax:i.autorangeoptions.clipmax,include:i.autorangeoptions.include,editType:\"plot\"},rangemode:i.rangemode,minallowed:i.minallowed,maxallowed:i.maxallowed,range:a({},i.range,{items:[{valType:\"any\",editType:\"plot\",impliedEdits:{\"^autorange\":!1}},{valType:\"any\",editType:\"plot\",impliedEdits:{\"^autorange\":!1}}],anim:!1}),tickmode:i.minor.tickmode,nticks:i.nticks,tick0:i.tick0,dtick:i.dtick,tickvals:i.tickvals,ticktext:i.ticktext,ticks:i.ticks,mirror:i.mirror,ticklen:i.ticklen,tickwidth:i.tickwidth,tickcolor:i.tickcolor,showticklabels:i.showticklabels,labelalias:i.labelalias,tickfont:i.tickfont,tickangle:i.tickangle,tickprefix:i.tickprefix,showtickprefix:i.showtickprefix,ticksuffix:i.ticksuffix,showticksuffix:i.showticksuffix,showexponent:i.showexponent,exponentformat:i.exponentformat,minexponent:i.minexponent,separatethousands:i.separatethousands,tickformat:i.tickformat,tickformatstops:i.tickformatstops,hoverformat:i.hoverformat,showline:i.showline,linecolor:i.linecolor,linewidth:i.linewidth,showgrid:i.showgrid,gridcolor:a({},i.gridcolor,{dflt:\"rgb(204, 204, 204)\"}),gridwidth:i.gridwidth,zeroline:i.zeroline,zerolinecolor:i.zerolinecolor,zerolinewidth:i.zerolinewidth,_deprecated:{title:i._deprecated.title,titlefont:i._deprecated.titlefont}},\"plot\",\"from-root\")},3277:function(t,e,r){\"use strict\";var n=r(84267).mix,i=r(71828),a=r(44467),o=r(77894),s=r(951),l=r(71453),u=[\"xaxis\",\"yaxis\",\"zaxis\"];t.exports=function(t,e,r){var c,f;function h(t,e){return i.coerce(c,f,o,t,e)}for(var p=0;p<u.length;p++){var d=u[p];c=t[d]||{},(f=a.newContainer(e,d))._id=d[0]+r.scene,f._name=d,s(c,f,h,r),l(c,f,h,{font:r.font,letter:d[0],data:r.data,showGrid:!0,noTickson:!0,noTicklabelmode:!0,noTicklabelstep:!0,noTicklabelposition:!0,noTicklabeloverflow:!0,noInsiderange:!0,bgColor:r.bgColor,calendar:r.calendar},r.fullLayout),h(\"gridcolor\",n(f.color,r.bgColor,72.72727272727273).toRgbString()),h(\"title.text\",d[0]),f.setScale=i.noop,h(\"showspikes\")&&(h(\"spikesides\"),h(\"spikethickness\"),h(\"spikecolor\",f.color)),h(\"showaxeslabels\"),h(\"showbackground\")&&h(\"backgroundcolor\")}}},30422:function(t,e,r){\"use strict\";var n=r(78614),i=r(71828),a=[\"xaxis\",\"yaxis\",\"zaxis\"];function o(){this.bounds=[[-10,-10,-10],[10,10,10]],this.ticks=[[],[],[]],this.tickEnable=[!0,!0,!0],this.tickFont=[\"sans-serif\",\"sans-serif\",\"sans-serif\"],this.tickSize=[12,12,12],this.tickAngle=[0,0,0],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickPad=[18,18,18],this.labels=[\"x\",\"y\",\"z\"],this.labelEnable=[!0,!0,!0],this.labelFont=[\"Open Sans\",\"Open Sans\",\"Open Sans\"],this.labelSize=[20,20,20],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labelPad=[30,30,30],this.lineEnable=[!0,!0,!0],this.lineMirror=[!1,!1,!1],this.lineWidth=[1,1,1],this.lineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.lineTickEnable=[!0,!0,!0],this.lineTickMirror=[!1,!1,!1],this.lineTickLength=[10,10,10],this.lineTickWidth=[1,1,1],this.lineTickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.gridEnable=[!0,!0,!0],this.gridWidth=[1,1,1],this.gridColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroEnable=[!0,!0,!0],this.zeroLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroLineWidth=[2,2,2],this.backgroundEnable=[!0,!0,!0],this.backgroundColor=[[.8,.8,.8,.5],[.8,.8,.8,.5],[.8,.8,.8,.5]],this._defaultTickPad=this.tickPad.slice(),this._defaultLabelPad=this.labelPad.slice(),this._defaultLineTickLength=this.lineTickLength.slice()}o.prototype.merge=function(t,e){for(var r=this,o=0;o<3;++o){var s=e[a[o]];s.visible?(r.labels[o]=t._meta?i.templateString(s.title.text,t._meta):s.title.text,\"font\"in s.title&&(s.title.font.color&&(r.labelColor[o]=n(s.title.font.color)),s.title.font.family&&(r.labelFont[o]=s.title.font.family),s.title.font.size&&(r.labelSize[o]=s.title.font.size)),\"showline\"in s&&(r.lineEnable[o]=s.showline),\"linecolor\"in s&&(r.lineColor[o]=n(s.linecolor)),\"linewidth\"in s&&(r.lineWidth[o]=s.linewidth),\"showgrid\"in s&&(r.gridEnable[o]=s.showgrid),\"gridcolor\"in s&&(r.gridColor[o]=n(s.gridcolor)),\"gridwidth\"in s&&(r.gridWidth[o]=s.gridwidth),\"log\"===s.type?r.zeroEnable[o]=!1:\"zeroline\"in s&&(r.zeroEnable[o]=s.zeroline),\"zerolinecolor\"in s&&(r.zeroLineColor[o]=n(s.zerolinecolor)),\"zerolinewidth\"in s&&(r.zeroLineWidth[o]=s.zerolinewidth),\"ticks\"in s&&s.ticks?r.lineTickEnable[o]=!0:r.lineTickEnable[o]=!1,\"ticklen\"in s&&(r.lineTickLength[o]=r._defaultLineTickLength[o]=s.ticklen),\"tickcolor\"in s&&(r.lineTickColor[o]=n(s.tickcolor)),\"tickwidth\"in s&&(r.lineTickWidth[o]=s.tickwidth),\"tickangle\"in s&&(r.tickAngle[o]=\"auto\"===s.tickangle?-3600:Math.PI*-s.tickangle/180),\"showticklabels\"in s&&(r.tickEnable[o]=s.showticklabels),\"tickfont\"in s&&(s.tickfont.color&&(r.tickColor[o]=n(s.tickfont.color)),s.tickfont.family&&(r.tickFont[o]=s.tickfont.family),s.tickfont.size&&(r.tickSize[o]=s.tickfont.size)),\"mirror\"in s?-1!==[\"ticks\",\"all\",\"allticks\"].indexOf(s.mirror)?(r.lineTickMirror[o]=!0,r.lineMirror[o]=!0):!0===s.mirror?(r.lineTickMirror[o]=!1,r.lineMirror[o]=!0):(r.lineTickMirror[o]=!1,r.lineMirror[o]=!1):r.lineMirror[o]=!1,\"showbackground\"in s&&!1!==s.showbackground?(r.backgroundEnable[o]=!0,r.backgroundColor[o]=n(s.backgroundcolor)):r.backgroundEnable[o]=!1):(r.tickEnable[o]=!1,r.labelEnable[o]=!1,r.lineEnable[o]=!1,r.lineTickEnable[o]=!1,r.gridEnable[o]=!1,r.zeroEnable[o]=!1,r.backgroundEnable[o]=!1)}},t.exports=function(t,e){var r=new o;return r.merge(t,e),r}},24682:function(t,e,r){\"use strict\";var n=r(71828),i=r(7901),a=r(73972),o=r(49119),s=r(3277),l=r(65500),u=r(27659).NG,c=\"gl3d\";function f(t,e,r,n){for(var o=r(\"bgcolor\"),l=i.combine(o,n.paper_bgcolor),f=[\"up\",\"center\",\"eye\"],h=0;h<f.length;h++)r(\"camera.\"+f[h]+\".x\"),r(\"camera.\"+f[h]+\".y\"),r(\"camera.\"+f[h]+\".z\");r(\"camera.projection.type\");var p=!!r(\"aspectratio.x\")&&!!r(\"aspectratio.y\")&&!!r(\"aspectratio.z\"),d=r(\"aspectmode\",p?\"manual\":\"auto\");p||(t.aspectratio=e.aspectratio={x:1,y:1,z:1},\"manual\"===d&&(e.aspectmode=\"auto\"),t.aspectmode=e.aspectmode);var v=u(n.fullData,c,n.id);s(t,e,{font:n.font,scene:n.id,data:v,bgColor:l,calendar:n.calendar,autotypenumbersDflt:n.autotypenumbersDflt,fullLayout:n.fullLayout}),a.getComponentMethod(\"annotations3d\",\"handleDefaults\")(t,e,n);var g=n.getDfltFromLayout(\"dragmode\");if(!1!==g&&!g)if(g=\"orbit\",t.camera&&t.camera.up){var y=t.camera.up.x,m=t.camera.up.y,x=t.camera.up.z;0!==x&&(y&&m&&x?x/Math.sqrt(y*y+m*m+x*x)>.999&&(g=\"turntable\"):g=\"turntable\")}else g=\"turntable\";r(\"dragmode\",g),r(\"hovermode\",n.getDfltFromLayout(\"hovermode\"))}t.exports=function(t,e,r){var i=e._basePlotModules.length>1;o(t,e,r,{type:c,attributes:l,handleDefaults:f,fullLayout:e,font:e.font,fullData:r,getDfltFromLayout:function(e){if(!i)return n.validate(t[e],l[e])?t[e]:void 0},autotypenumbersDflt:e.autotypenumbers,paper_bgcolor:e.paper_bgcolor,calendar:e.calendar})}},65500:function(t,e,r){\"use strict\";var n=r(77894),i=r(27670).Y,a=r(1426).extendFlat,o=r(71828).counterRegex;function s(t,e,r){return{x:{valType:\"number\",dflt:t,editType:\"camera\"},y:{valType:\"number\",dflt:e,editType:\"camera\"},z:{valType:\"number\",dflt:r,editType:\"camera\"},editType:\"camera\"}}t.exports={_arrayAttrRegexps:[o(\"scene\",\".annotations\",!0)],bgcolor:{valType:\"color\",dflt:\"rgba(0,0,0,0)\",editType:\"plot\"},camera:{up:a(s(0,0,1),{}),center:a(s(0,0,0),{}),eye:a(s(1.25,1.25,1.25),{}),projection:{type:{valType:\"enumerated\",values:[\"perspective\",\"orthographic\"],dflt:\"perspective\",editType:\"calc\"},editType:\"calc\"},editType:\"camera\"},domain:i({name:\"scene\",editType:\"plot\"}),aspectmode:{valType:\"enumerated\",values:[\"auto\",\"cube\",\"data\",\"manual\"],dflt:\"auto\",editType:\"plot\",impliedEdits:{\"aspectratio.x\":void 0,\"aspectratio.y\":void 0,\"aspectratio.z\":void 0}},aspectratio:{x:{valType:\"number\",min:0,editType:\"plot\",impliedEdits:{\"^aspectmode\":\"manual\"}},y:{valType:\"number\",min:0,editType:\"plot\",impliedEdits:{\"^aspectmode\":\"manual\"}},z:{valType:\"number\",min:0,editType:\"plot\",impliedEdits:{\"^aspectmode\":\"manual\"}},editType:\"plot\",impliedEdits:{aspectmode:\"manual\"}},xaxis:n,yaxis:n,zaxis:n,dragmode:{valType:\"enumerated\",values:[\"orbit\",\"turntable\",\"zoom\",\"pan\",!1],editType:\"plot\"},hovermode:{valType:\"enumerated\",values:[\"closest\",!1],dflt:\"closest\",editType:\"modebar\"},uirevision:{valType:\"any\",editType:\"none\"},editType:\"plot\",_deprecated:{cameraposition:{valType:\"info_array\",editType:\"camera\"}}}},13133:function(t,e,r){\"use strict\";var n=r(78614),i=[\"xaxis\",\"yaxis\",\"zaxis\"];function a(){this.enabled=[!0,!0,!0],this.colors=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.drawSides=[!0,!0,!0],this.lineWidth=[1,1,1]}a.prototype.merge=function(t){for(var e=0;e<3;++e){var r=t[i[e]];r.visible?(this.enabled[e]=r.showspikes,this.colors[e]=n(r.spikecolor),this.drawSides[e]=r.spikesides,this.lineWidth[e]=r.spikethickness):(this.enabled[e]=!1,this.drawSides[e]=!1)}},t.exports=function(t){var e=new a;return e.merge(t),e}},96085:function(t,e,r){\"use strict\";t.exports=function(t){for(var e=t.axesOptions,r=t.glplot.axesPixels,s=t.fullSceneLayout,l=[[],[],[]],u=0;u<3;++u){var c=s[a[u]];if(c._length=(r[u].hi-r[u].lo)*r[u].pixelsPerDataUnit/t.dataScale[u],Math.abs(c._length)===1/0||isNaN(c._length))l[u]=[];else{c._input_range=c.range.slice(),c.range[0]=r[u].lo/t.dataScale[u],c.range[1]=r[u].hi/t.dataScale[u],c._m=1/(t.dataScale[u]*r[u].pixelsPerDataUnit),c.range[0]===c.range[1]&&(c.range[0]-=1,c.range[1]+=1);var f=c.tickmode;if(\"auto\"===c.tickmode){c.tickmode=\"linear\";var h=c.nticks||i.constrain(c._length/40,4,9);n.autoTicks(c,Math.abs(c.range[1]-c.range[0])/h)}for(var p=n.calcTicks(c,{msUTC:!0}),d=0;d<p.length;++d)p[d].x=p[d].x*t.dataScale[u],\"date\"===c.type&&(p[d].text=p[d].text.replace(/\\<br\\>/g,\" \"));l[u]=p,c.tickmode=f}}for(e.ticks=l,u=0;u<3;++u)for(o[u]=.5*(t.glplot.bounds[0][u]+t.glplot.bounds[1][u]),d=0;d<2;++d)e.bounds[d][u]=t.glplot.bounds[d][u];t.contourLevels=function(t){for(var e=new Array(3),r=0;r<3;++r){for(var n=t[r],i=new Array(n.length),a=0;a<n.length;++a)i[a]=n[a].x;e[r]=i}return e}(l)};var n=r(89298),i=r(71828),a=[\"xaxis\",\"yaxis\",\"zaxis\"],o=[0,0,0]},63538:function(t){\"use strict\";function e(t,e){var r,n,i=[0,0,0,0];for(r=0;r<4;++r)for(n=0;n<4;++n)i[n]+=t[4*r+n]*e[r];return i}t.exports=function(t,r){return e(t.projection,e(t.view,e(t.model,[r[0],r[1],r[2],1])))}},33539:function(t,e,r){\"use strict\";var n,i,a=r(9330).gl_plot3d,o=a.createCamera,s=a.createScene,l=r(40372),u=r(38520),c=r(73972),f=r(71828),h=f.preserveDrawingBuffer(),p=r(89298),d=r(30211),v=r(78614),g=r(58617),y=r(63538),m=r(30422),x=r(13133),b=r(96085),_=r(71739).applyAutorangeOptions,w=!1;function T(t,e){var r=document.createElement(\"div\"),n=t.container;this.graphDiv=t.graphDiv;var i=document.createElementNS(\"http://www.w3.org/2000/svg\",\"svg\");i.style.position=\"absolute\",i.style.top=i.style.left=\"0px\",i.style.width=i.style.height=\"100%\",i.style[\"z-index\"]=20,i.style[\"pointer-events\"]=\"none\",r.appendChild(i),this.svgContainer=i,r.id=t.id,r.style.position=\"absolute\",r.style.top=r.style.left=\"0px\",r.style.width=r.style.height=\"100%\",n.appendChild(r),this.fullLayout=e,this.id=t.id||\"scene\",this.fullSceneLayout=e[this.id],this.plotArgs=[[],{},{}],this.axesOptions=m(e,e[this.id]),this.spikeOptions=x(e[this.id]),this.container=r,this.staticMode=!!t.staticPlot,this.pixelRatio=this.pixelRatio||t.plotGlPixelRatio||2,this.dataScale=[1,1,1],this.contourLevels=[[],[],[]],this.convertAnnotations=c.getComponentMethod(\"annotations3d\",\"convert\"),this.drawAnnotations=c.getComponentMethod(\"annotations3d\",\"draw\"),this.initializeGLPlot()}var k=T.prototype;k.prepareOptions=function(){var t=this,e={canvas:t.canvas,gl:t.gl,glOptions:{preserveDrawingBuffer:h,premultipliedAlpha:!0,antialias:!0},container:t.container,axes:t.axesOptions,spikes:t.spikeOptions,pickRadius:10,snapToData:!0,autoScale:!0,autoBounds:!1,cameraObject:t.camera,pixelRatio:t.pixelRatio};if(t.staticMode){if(!(i||(n=document.createElement(\"canvas\"),i=l({canvas:n,preserveDrawingBuffer:!0,premultipliedAlpha:!0,antialias:!0}))))throw new Error(\"error creating static canvas/context for image server\");e.gl=i,e.canvas=n}return e};var A=!0;k.tryCreatePlot=function(){var t=this,e=t.prepareOptions(),r=!0;try{t.glplot=s(e)}catch(n){if(t.staticMode||!A||h)r=!1;else{f.warn([\"webgl setup failed possibly due to\",\"false preserveDrawingBuffer config.\",\"The mobile/tablet device may not be detected by is-mobile module.\",\"Enabling preserveDrawingBuffer in second attempt to create webgl scene...\"].join(\" \"));try{h=e.glOptions.preserveDrawingBuffer=!0,t.glplot=s(e)}catch(t){h=e.glOptions.preserveDrawingBuffer=!1,r=!1}}}return A=!1,r},k.initializeGLCamera=function(){var t=this,e=t.fullSceneLayout.camera,r=\"orthographic\"===e.projection.type;t.camera=o(t.container,{center:[e.center.x,e.center.y,e.center.z],eye:[e.eye.x,e.eye.y,e.eye.z],up:[e.up.x,e.up.y,e.up.z],_ortho:r,zoomMin:.01,zoomMax:100,mode:\"orbit\"})},k.initializeGLPlot=function(){var t=this;if(t.initializeGLCamera(),!t.tryCreatePlot())return g(t);t.traces={},t.make4thDimension();var e=t.graphDiv,r=e.layout,n=function(){var e={};return t.isCameraChanged(r)&&(e[t.id+\".camera\"]=t.getCamera()),t.isAspectChanged(r)&&(e[t.id+\".aspectratio\"]=t.glplot.getAspectratio(),\"manual\"!==r[t.id].aspectmode&&(t.fullSceneLayout.aspectmode=r[t.id].aspectmode=e[t.id+\".aspectmode\"]=\"manual\")),e},i=function(t){if(!1!==t.fullSceneLayout.dragmode){var e=n();t.saveLayout(r),t.graphDiv.emit(\"plotly_relayout\",e)}};return t.glplot.canvas&&(t.glplot.canvas.addEventListener(\"mouseup\",(function(){i(t)})),t.glplot.canvas.addEventListener(\"touchstart\",(function(){w=!0})),t.glplot.canvas.addEventListener(\"wheel\",(function(r){if(e._context._scrollZoom.gl3d){if(t.camera._ortho){var n=r.deltaX>r.deltaY?1.1:1/1.1,a=t.glplot.getAspectratio();t.glplot.setAspectratio({x:n*a.x,y:n*a.y,z:n*a.z})}i(t)}}),!!u&&{passive:!1}),t.glplot.canvas.addEventListener(\"mousemove\",(function(){if(!1!==t.fullSceneLayout.dragmode&&0!==t.camera.mouseListener.buttons){var e=n();t.graphDiv.emit(\"plotly_relayouting\",e)}})),t.staticMode||t.glplot.canvas.addEventListener(\"webglcontextlost\",(function(r){e&&e.emit&&e.emit(\"plotly_webglcontextlost\",{event:r,layer:t.id})}),!1)),t.glplot.oncontextloss=function(){t.recoverContext()},t.glplot.onrender=function(){t.render()},!0},k.render=function(){var t,e=this,r=e.graphDiv,n=e.svgContainer,i=e.container.getBoundingClientRect();r._fullLayout._calcInverseTransform(r);var a=r._fullLayout._invScaleX,o=r._fullLayout._invScaleY,s=i.width*a,l=i.height*o;n.setAttributeNS(null,\"viewBox\",\"0 0 \"+s+\" \"+l),n.setAttributeNS(null,\"width\",s),n.setAttributeNS(null,\"height\",l),b(e),e.glplot.axes.update(e.axesOptions);for(var u=Object.keys(e.traces),c=null,h=e.glplot.selection,v=0;v<u.length;++v)\"skip\"!==(t=e.traces[u[v]]).data.hoverinfo&&t.handlePick(h)&&(c=t),t.setContourLevels&&t.setContourLevels();function g(t,r,n){var i=e.fullSceneLayout[t+\"axis\"];return\"log\"!==i.type&&(r=i.d2l(r)),p.hoverLabelText(i,r,n)}if(null!==c){var m=y(e.glplot.cameraParams,h.dataCoordinate);t=c.data;var x,_=r._fullData[t.index],T=h.index,k={xLabel:g(\"x\",h.traceCoordinate[0],t.xhoverformat),yLabel:g(\"y\",h.traceCoordinate[1],t.yhoverformat),zLabel:g(\"z\",h.traceCoordinate[2],t.zhoverformat)},A=d.castHoverinfo(_,e.fullLayout,T),M=(A||\"\").split(\"+\"),S=A&&\"all\"===A;_.hovertemplate||S||(-1===M.indexOf(\"x\")&&(k.xLabel=void 0),-1===M.indexOf(\"y\")&&(k.yLabel=void 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P=[];d.loneHover({trace:_,x:(.5+.5*m[0]/m[3])*s,y:(.5-.5*m[1]/m[3])*l,xLabel:k.xLabel,yLabel:k.yLabel,zLabel:k.zLabel,text:x,name:c.name,color:d.castHoverOption(_,T,\"bgcolor\")||c.color,borderColor:d.castHoverOption(_,T,\"bordercolor\"),fontFamily:d.castHoverOption(_,T,\"font.family\"),fontSize:d.castHoverOption(_,T,\"font.size\"),fontColor:d.castHoverOption(_,T,\"font.color\"),nameLength:d.castHoverOption(_,T,\"namelength\"),textAlign:d.castHoverOption(_,T,\"align\"),hovertemplate:f.castOption(_,T,\"hovertemplate\"),hovertemplateLabels:f.extendFlat({},L,k),eventData:[L]},{container:n,gd:r,inOut_bbox:P}),L.bbox=P[0]}h.distance<5&&(h.buttons||w)?r.emit(\"plotly_click\",C):r.emit(\"plotly_hover\",C),this.oldEventData=C}else d.loneUnhover(n),this.oldEventData&&r.emit(\"plotly_unhover\",this.oldEventData),this.oldEventData=void 0;e.drawAnnotations(e)},k.recoverContext=function(){var t=this;t.glplot.dispose();var e=function(){t.glplot.gl.isContextLost()?requestAnimationFrame(e):t.initializeGLPlot()?t.plot.apply(t,t.plotArgs):f.error(\"Catastrophic and unrecoverable WebGL error. 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i,a,o,s,l,u,c=e[n.id],f=r[n.id];n.fullLayout=e,n.fullSceneLayout=c,n.axesOptions.merge(e,c),n.spikeOptions.merge(c),n.setViewport(c),n.updateFx(c.dragmode,c.hovermode),n.camera.enableWheel=n.graphDiv._context._scrollZoom.gl3d,n.glplot.setClearColor(v(c.bgcolor)),n.setConvert(l),t?Array.isArray(t)||(t=[t]):t=[];var h=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]];for(o=0;o<t.length;++o)!0===(i=t[o]).visible&&0!==i._length&&S(this,i,h);!function(t,e){for(var r=t.fullSceneLayout,n=r.annotations||[],i=0;i<3;i++)for(var a=M[i],o=a.charAt(0),s=r[a],l=0;l<n.length;l++){var u=n[l];if(u.visible){var c=s.r2l(u[o]);!isNaN(c)&&isFinite(c)&&(e[0][i]=Math.min(e[0][i],c),e[1][i]=Math.max(e[1][i],c))}}}(this,h);var 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A=w[s],E=A.bounds,L=A._trace.data._pad||0;\"ErrorBars\"===A.constructor.name&&l._lowerLogErrorBound?y[0][o]=Math.min(y[0][o],l._lowerLogErrorBound):y[0][o]=Math.min(y[0][o],E[0][o]/p[o]-L),y[1][o]=Math.max(y[1][o],E[1][o]/p[o]+L)}for(s=0;s<T.length;s++){var C=T[s];if(C.visible){var P=l.r2l(C[k]);y[0][o]=Math.min(y[0][o],P),y[1][o]=Math.max(y[1][o],P)}}if(\"rangemode\"in l&&\"tozero\"===l.rangemode&&(y[0][o]=Math.min(y[0][o],0),y[1][o]=Math.max(y[1][o],0)),y[0][o]>y[1][o])y[0][o]=-1,y[1][o]=1;else{var O=y[1][o]-y[0][o];y[0][o]-=O/32,y[1][o]+=O/32}if(b=[y[0][o],y[1][o]],b=_(b,l),y[0][o]=b[0],y[1][o]=b[1],l.isReversed()){var I=y[0][o];y[0][o]=y[1][o],y[1][o]=I}}else b=l.range,y[0][o]=l.r2l(b[0]),y[1][o]=l.r2l(b[1]);y[0][o]===y[1][o]&&(y[0][o]-=1,y[1][o]+=1),m[o]=y[1][o]-y[0][o],l.range=[y[0][o],y[1][o]],l.limitRange(),n.glplot.setBounds(o,{min:l.range[0]*p[o],max:l.range[1]*p[o]})}var D=c.aspectmode;if(\"cube\"===D)g=[1,1,1];else if(\"manual\"===D){var z=c.aspectratio;g=[z.x,z.y,z.z]}else{if(\"auto\"!==D&&\"data\"!==D)throw new Error(\"scene.js aspectRatio was not one of the enumerated types\");var R=[1,1,1];for(o=0;o<3;++o){var F=x[u=(l=c[M[o]]).type];R[o]=Math.pow(F.acc,1/F.count)/p[o]}g=\"data\"===D||Math.max.apply(null,R)/Math.min.apply(null,R)<=4?R:[1,1,1]}c.aspectratio.x=f.aspectratio.x=g[0],c.aspectratio.y=f.aspectratio.y=g[1],c.aspectratio.z=f.aspectratio.z=g[2],n.glplot.setAspectratio(c.aspectratio),n.viewInitial.aspectratio||(n.viewInitial.aspectratio={x:c.aspectratio.x,y:c.aspectratio.y,z:c.aspectratio.z}),n.viewInitial.aspectmode||(n.viewInitial.aspectmode=c.aspectmode);var B=c.domain||null,N=e._size||null;if(B&&N){var j=n.container.style;j.position=\"absolute\",j.left=N.l+B.x[0]*N.w+\"px\",j.top=N.t+(1-B.y[1])*N.h+\"px\",j.width=N.w*(B.x[1]-B.x[0])+\"px\",j.height=N.h*(B.y[1]-B.y[0])+\"px\"}n.glplot.redraw()}},k.destroy=function(){var t=this;t.glplot&&(t.camera.mouseListener.enabled=!1,t.container.removeEventListener(\"wheel\",t.camera.wheelListener),t.camera=null,t.glplot.dispose(),t.container.parentNode.removeChild(t.container),t.glplot=null)},k.getCamera=function(){var t,e=this;return e.camera.view.recalcMatrix(e.camera.view.lastT()),{up:{x:(t=e.camera).up[0],y:t.up[1],z:t.up[2]},center:{x:t.center[0],y:t.center[1],z:t.center[2]},eye:{x:t.eye[0],y:t.eye[1],z:t.eye[2]},projection:{type:!0===t._ortho?\"orthographic\":\"perspective\"}}},k.setViewport=function(t){var e,r=this,n=t.camera;r.camera.lookAt.apply(this,[[(e=n).eye.x,e.eye.y,e.eye.z],[e.center.x,e.center.y,e.center.z],[e.up.x,e.up.y,e.up.z]]),r.glplot.setAspectratio(t.aspectratio),\"orthographic\"===n.projection.type!==r.camera._ortho&&(r.glplot.redraw(),r.glplot.clearRGBA(),r.glplot.dispose(),r.initializeGLPlot())},k.isCameraChanged=function(t){var e=this.getCamera(),r=f.nestedProperty(t,this.id+\".camera\").get();function n(t,e,r,n){var 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B(t,e,r)},N.plot=function(t,e){for(var r=this,n=e[r.id],i=!1,a=0;a<t.length;a++)if(!1===t[a][0].trace.cliponaxis){i=!0;break}r._hasClipOnAxisFalse=i,r.updateLayers(e,n),r.updateLayout(e,n),f.generalUpdatePerTraceModule(r.gd,r,t,n),r.updateFx(e,n),r.isSmith&&(delete n.realaxis.range,delete n.imaginaryaxis.range)},N.updateLayers=function(t,e){var r=this,i=r.isSmith,a=r.layers,o=r.getRadial(e),s=r.getAngular(e),l=S.layerNames,u=l.indexOf(\"frontplot\"),c=l.slice(0,u),f=\"below traces\"===s.layer,h=\"below traces\"===o.layer;f&&c.push(\"angular-line\"),h&&c.push(\"radial-line\"),f&&c.push(\"angular-axis\"),h&&c.push(\"radial-axis\"),c.push(\"frontplot\"),f||c.push(\"angular-line\"),h||c.push(\"radial-line\"),f||c.push(\"angular-axis\"),h||c.push(\"radial-axis\");var p=(i?\"smith\":\"polar\")+\"sublayer\",d=r.framework.selectAll(\".\"+p).data(c,String);d.enter().append(\"g\").attr(\"class\",(function(t){return p+\" \"+t})).each((function(t){var e=a[t]=n.select(this);switch(t){case\"frontplot\":i||e.append(\"g\").classed(\"barlayer\",!0),e.append(\"g\").classed(\"scatterlayer\",!0);break;case\"backplot\":e.append(\"g\").classed(\"maplayer\",!0);break;case\"plotbg\":a.bg=e.append(\"path\");break;case\"radial-grid\":case\"angular-grid\":e.style(\"fill\",\"none\");break;case\"radial-line\":e.append(\"line\").style(\"fill\",\"none\");break;case\"angular-line\":e.append(\"path\").style(\"fill\",\"none\")}})),d.order()},N.updateLayout=function(t,e){var r=this,n=r.layers,i=t._size,a=r.getRadial(e),o=r.getAngular(e),s=e.domain.x,f=e.domain.y;r.xOffset=i.l+i.w*s[0],r.yOffset=i.t+i.h*(1-f[1]);var h=r.xLength=i.w*(s[1]-s[0]),p=r.yLength=i.h*(f[1]-f[0]),d=r.getSector(e);r.sectorInRad=d.map(R);var v,g,y,m,x,b=r.sectorBBox=function(t){var e,r=t[0],n=t[1]-r,i=z(r,360),a=i+n,o=Math.cos(R(i)),s=Math.sin(R(i)),l=Math.cos(R(a)),u=Math.sin(R(a));return 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A,M=r.xOffset2=i.l+i.w*y[0],S=r.yOffset2=i.t+i.h*(1-m[1]),E=r.radius=v/_,L=r.innerRadius=r.getHole(e)*E,C=r.cx=M-E*b[0],P=r.cy=S+E*b[3],O=r.cxx=C-M,I=r.cyy=P-S,D=a.side;\"counterclockwise\"===D?(A=D,D=\"top\"):\"clockwise\"===D&&(A=D,D=\"bottom\"),r.radialAxis=r.mockAxis(t,e,a,{_id:\"x\",side:D,_trueSide:A,domain:[L/i.w,E/i.w]}),r.angularAxis=r.mockAxis(t,e,o,{side:\"right\",domain:[0,Math.PI],autorange:!1}),r.doAutoRange(t,e),r.updateAngularAxis(t,e),r.updateRadialAxis(t,e),r.updateRadialAxisTitle(t,e),r.xaxis=r.mockCartesianAxis(t,e,{_id:\"x\",domain:y}),r.yaxis=r.mockCartesianAxis(t,e,{_id:\"y\",domain:m});var F=r.pathSubplot();r.clipPaths.forTraces.select(\"path\").attr(\"d\",F).attr(\"transform\",l(O,I)),n.frontplot.attr(\"transform\",l(M,S)).call(c.setClipUrl,r._hasClipOnAxisFalse?null:r.clipIds.forTraces,r.gd),n.bg.attr(\"d\",F).attr(\"transform\",l(C,P)).call(u.fill,e.bgcolor)},N.mockAxis=function(t,e,r,n){var i=o.extendFlat({},r,n);return d(i,e,t),i},N.mockCartesianAxis=function(t,e,r){var n=this,i=n.isSmith,a=r._id,s=o.extendFlat({type:\"linear\"},r);p(s,t);var l={x:[0,2],y:[1,3]};return s.setRange=function(){var t=n.sectorBBox,r=l[a],i=n.radialAxis._rl,o=(i[1]-i[0])/(1-n.getHole(e));s.range=[t[r[0]]*o,t[r[1]]*o]},s.isPtWithinRange=\"x\"!==a||i?function(){return!0}:function(t){return n.isPtInside(t)},s.setRange(),s.setScale(),s},N.doAutoRange=function(t,e){var r=this,n=r.gd,i=r.radialAxis,a=r.getRadial(e);v(n,i);var o=i.range;a.range=o.slice(),a._input.range=o.slice(),i._rl=[i.r2l(o[0],null,\"gregorian\"),i.r2l(o[1],null,\"gregorian\")]},N.updateRadialAxis=function(t,e){var r=this,n=r.gd,i=r.layers,a=r.radius,c=r.innerRadius,f=r.cx,p=r.cy,d=r.getRadial(e),v=z(r.getSector(e)[0],360),g=r.radialAxis,y=c<a,m=r.isSmith;m||(r.fillViewInitialKey(\"radialaxis.angle\",d.angle),r.fillViewInitialKey(\"radialaxis.range\",g.range.slice()),g.setGeometry()),\"auto\"===g.tickangle&&v>90&&v<=270&&(g.tickangle=180);var x=m?function(t){var e=I(r,C([t.x,0]));return l(e[0]-f,e[1]-p)}:function(t){return l(g.l2p(t.x)+c,0)},b=m?function(t){return O(r,t.x,-1/0,1/0)}:function(t){return r.pathArc(g.r2p(t.x)+c)},_=j(d);if(r.radialTickLayout!==_&&(i[\"radial-axis\"].selectAll(\".xtick\").remove(),r.radialTickLayout=_),y){g.setScale();var w=0,T=m?(g.tickvals||[]).filter((function(t){return t>=0})).map((function(t){return h.tickText(g,t,!0,!1)})):h.calcTicks(g),k=m?T:h.clipEnds(g,T),A=h.getTickSigns(g)[2];m&&((\"top\"===g.ticks&&\"bottom\"===g.side||\"bottom\"===g.ticks&&\"top\"===g.side)&&(A=-A),\"top\"===g.ticks&&\"top\"===g.side&&(w=-g.ticklen),\"bottom\"===g.ticks&&\"bottom\"===g.side&&(w=g.ticklen)),h.drawTicks(n,g,{vals:T,layer:i[\"radial-axis\"],path:h.makeTickPath(g,0,A),transFn:x,crisp:!1}),h.drawGrid(n,g,{vals:k,layer:i[\"radial-grid\"],path:b,transFn:o.noop,crisp:!1}),h.drawLabels(n,g,{vals:T,layer:i[\"radial-axis\"],transFn:x,labelFns:h.makeLabelFns(g,w)})}var M=r.radialAxisAngle=r.vangles?F(U(R(d.angle),r.vangles)):d.angle,S=l(f,p),E=S+s(-M);V(i[\"radial-axis\"],y&&(d.showticklabels||d.ticks),{transform:E}),V(i[\"radial-grid\"],y&&d.showgrid,{transform:m?\"\":S}),V(i[\"radial-line\"].select(\"line\"),y&&d.showline,{x1:m?-a:c,y1:0,x2:a,y2:0,transform:E}).attr(\"stroke-width\",d.linewidth).call(u.stroke,d.linecolor)},N.updateRadialAxisTitle=function(t,e,r){if(!this.isSmith){var n=this,i=n.gd,a=n.radius,o=n.cx,s=n.cy,l=n.getRadial(e),u=n.id+\"title\",f=0;if(l.title){var h=c.bBox(n.layers[\"radial-axis\"].node()).height,p=l.title.font.size,d=l.side;f=\"top\"===d?p:\"counterclockwise\"===d?-(h+.4*p):h+.8*p}var v=void 0!==r?r:n.radialAxisAngle,g=R(v),y=Math.cos(g),m=Math.sin(g),b=o+a/2*y+f*m,_=s-a/2*m+f*y;n.layers[\"radial-axis-title\"]=x.draw(i,u,{propContainer:l,propName:n.id+\".radialaxis.title\",placeholder:D(i,\"Click to enter radial axis 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e=y(t),r=Math.cos(e),n=Math.sin(e);return\"M\"+[f+c*r,p-c*n]+\"L\"+[f+a*r,p-a*n]},w=h.makeLabelFns(v,0).labelStandoff,T={xFn:function(t){var e=y(t);return Math.cos(e)*w},yFn:function(t){var e=y(t),r=Math.sin(e)>0?.2:1;return-Math.sin(e)*(w+t.fontSize*r)+Math.abs(Math.cos(e))*(t.fontSize*M)},anchorFn:function(t){var e=y(t),r=Math.cos(e);return Math.abs(r)<.1?\"middle\":r>0?\"start\":\"end\"},heightFn:function(t,e,r){var n=y(t);return-.5*(1+Math.sin(n))*r}},k=j(d);r.angularTickLayout!==k&&(i[\"angular-axis\"].selectAll(\".\"+v._id+\"tick\").remove(),r.angularTickLayout=k);var A,S=g?[1/0].concat(v.tickvals||[]).map((function(t){return h.tickText(v,t,!0,!1)})):h.calcTicks(v);if(g&&(S[0].text=\"∞\",S[0].fontSize*=1.75),\"linear\"===e.gridshape?(A=S.map(y),o.angleDelta(A[0],A[1])<0&&(A=A.slice().reverse())):A=null,r.vangles=A,\"category\"===v.type&&(S=S.filter((function(t){return o.isAngleInsideSector(y(t),r.sectorInRad)}))),v.visible){var E=\"inside\"===v.ticks?-1:1,L=(v.linewidth||1)/2;h.drawTicks(n,v,{vals:S,layer:i[\"angular-axis\"],path:\"M\"+E*L+\",0h\"+E*v.ticklen,transFn:b,crisp:!1}),h.drawGrid(n,v,{vals:S,layer:i[\"angular-grid\"],path:_,transFn:o.noop,crisp:!1}),h.drawLabels(n,v,{vals:S,layer:i[\"angular-axis\"],repositionOnUpdate:!0,transFn:x,labelFns:T})}V(i[\"angular-line\"].select(\"path\"),d.showline,{d:r.pathSubplot(),transform:l(f,p)}).attr(\"stroke-width\",d.linewidth).call(u.stroke,d.linecolor)},N.updateFx=function(t,e){this.gd._context.staticPlot||(!this.isSmith&&(this.updateAngularDrag(t),this.updateRadialDrag(t,e,0),this.updateRadialDrag(t,e,1)),this.updateHoverAndMainDrag(t))},N.updateHoverAndMainDrag=function(t){var e,r,s=this,u=s.isSmith,c=s.gd,f=s.layers,h=t._zoomlayer,p=S.MINZOOM,d=S.OFFEDGE,v=s.radius,x=s.innerRadius,T=s.cx,k=s.cy,A=s.cxx,M=s.cyy,L=s.sectorInRad,C=s.vangles,P=s.radialAxis,O=E.clampTiny,I=E.findXYatLength,D=E.findEnclosingVertexAngles,z=S.cornerHalfWidth,R=S.cornerLen/2,F=g.makeDragger(f,\"path\",\"maindrag\",!1===t.dragmode?\"none\":\"crosshair\");n.select(F).attr(\"d\",s.pathSubplot()).attr(\"transform\",l(T,k)),F.onmousemove=function(t){m.hover(c,t,s.id),c._fullLayout._lasthover=F,c._fullLayout._hoversubplot=s.id},F.onmouseout=function(t){c._dragging||y.unhover(c,t)};var B,N,j,U,V,H,q,G,Z,Y={element:F,gd:c,subplot:s.id,plotinfo:{id:s.id,xaxis:s.xaxis,yaxis:s.yaxis},xaxes:[s.xaxis],yaxes:[s.yaxis]};function W(t,e){return Math.sqrt(t*t+e*e)}function X(t,e){return W(t-A,e-M)}function J(t,e){return Math.atan2(M-e,t-A)}function K(t,e){return[t*Math.cos(e),t*Math.sin(-e)]}function $(t,e){if(0===t)return s.pathSector(2*z);var r=R/t,n=e-r,i=e+r,a=Math.max(0,Math.min(t,v)),o=a-z,l=a+z;return\"M\"+K(o,n)+\"A\"+[o,o]+\" 0,0,0 \"+K(o,i)+\"L\"+K(l,i)+\"A\"+[l,l]+\" 0,0,1 \"+K(l,n)+\"Z\"}function Q(t,e,r){if(0===t)return s.pathSector(2*z);var n,i,a=K(t,e),o=K(t,r),l=O((a[0]+o[0])/2),u=O((a[1]+o[1])/2);if(l&&u){var c=u/l,f=-1/c,h=I(z,c,l,u);n=I(R,f,h[0][0],h[0][1]),i=I(R,f,h[1][0],h[1][1])}else{var p,d;u?(p=R,d=z):(p=z,d=R),n=[[l-p,u-d],[l+p,u-d]],i=[[l-p,u+d],[l+p,u+d]]}return\"M\"+n.join(\"L\")+\"L\"+i.reverse().join(\"L\")+\"Z\"}function tt(t,e){return e=Math.max(Math.min(e,v),x),t<d?t=0:v-t<d?t=v:e<d?e=0:v-e<d&&(e=v),Math.abs(e-t)>p?(t<e?(j=t,U=e):(j=e,U=t),!0):(j=null,U=null,!1)}function et(t,e){t=t||V,e=e||\"M0,0Z\",G.attr(\"d\",t),Z.attr(\"d\",e),g.transitionZoombox(G,Z,H,q),H=!0;var r={};ot(r),c.emit(\"plotly_relayouting\",r)}function rt(t,n){var i,a,o=B+(t*=e),l=N+(n*=r),u=X(B,N),c=Math.min(X(o,l),v),f=J(B,N);tt(u,c)&&(i=V+s.pathSector(U),j&&(i+=s.pathSector(j)),a=$(j,f)+$(U,f)),et(i,a)}function 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n=r(39898),i=r(84267),a=r(73972),o=r(71828),s=o.strTranslate,l=o._,u=r(7901),c=r(91424),f=r(21994),h=r(1426).extendFlat,p=r(74875),d=r(89298),v=r(28569),g=r(30211),y=r(64505),m=y.freeMode,x=y.rectMode,b=r(92998),_=r(47322).prepSelect,w=r(47322).selectOnClick,T=r(47322).clearOutline,k=r(47322).clearSelectionsCache,A=r(85555);function M(t,e){this.id=t.id,this.graphDiv=t.graphDiv,this.init(e),this.makeFramework(e),this.aTickLayout=null,this.bTickLayout=null,this.cTickLayout=null}t.exports=M;var S=M.prototype;S.init=function(t){this.container=t._ternarylayer,this.defs=t._defs,this.layoutId=t._uid,this.traceHash={},this.layers={}},S.plot=function(t,e){var r=this,n=e[r.id],i=e._size;r._hasClipOnAxisFalse=!1;for(var a=0;a<t.length;a++)if(!1===t[a][0].trace.cliponaxis){r._hasClipOnAxisFalse=!0;break}r.updateLayers(n),r.adjustLayout(n,i),p.generalUpdatePerTraceModule(r.graphDiv,r,t,n),r.layers.plotbg.select(\"path\").call(u.fill,n.bgcolor)},S.makeFramework=function(t){var e=this,r=e.graphDiv,n=t[e.id],i=e.clipId=\"clip\"+e.layoutId+e.id,a=e.clipIdRelative=\"clip-relative\"+e.layoutId+e.id;e.clipDef=o.ensureSingleById(t._clips,\"clipPath\",i,(function(t){t.append(\"path\").attr(\"d\",\"M0,0Z\")})),e.clipDefRelative=o.ensureSingleById(t._clips,\"clipPath\",a,(function(t){t.append(\"path\").attr(\"d\",\"M0,0Z\")})),e.plotContainer=o.ensureSingle(e.container,\"g\",e.id),e.updateLayers(n),c.setClipUrl(e.layers.backplot,i,r),c.setClipUrl(e.layers.grids,i,r)},S.updateLayers=function(t){var e=this.layers,r=[\"draglayer\",\"plotbg\",\"backplot\",\"grids\"];\"below traces\"===t.aaxis.layer&&r.push(\"aaxis\",\"aline\"),\"below traces\"===t.baxis.layer&&r.push(\"baxis\",\"bline\"),\"below traces\"===t.caxis.layer&&r.push(\"caxis\",\"cline\"),r.push(\"frontplot\"),\"above traces\"===t.aaxis.layer&&r.push(\"aaxis\",\"aline\"),\"above traces\"===t.baxis.layer&&r.push(\"baxis\",\"bline\"),\"above traces\"===t.caxis.layer&&r.push(\"caxis\",\"cline\");var i=this.plotContainer.selectAll(\"g.toplevel\").data(r,String),a=[\"agrid\",\"bgrid\",\"cgrid\"];i.enter().append(\"g\").attr(\"class\",(function(t){return\"toplevel \"+t})).each((function(t){var r=n.select(this);e[t]=r,\"frontplot\"===t?r.append(\"g\").classed(\"scatterlayer\",!0):\"backplot\"===t?r.append(\"g\").classed(\"maplayer\",!0):\"plotbg\"===t?r.append(\"path\").attr(\"d\",\"M0,0Z\"):\"aline\"===t||\"bline\"===t||\"cline\"===t?r.append(\"path\"):\"grids\"===t&&a.forEach((function(t){e[t]=r.append(\"g\").classed(\"grid \"+t,!0)}))})),i.order()};var E=Math.sqrt(4/3);S.adjustLayout=function(t,e){var r,n,i,a,o,l,p=this,d=t.domain,v=(d.x[0]+d.x[1])/2,g=(d.y[0]+d.y[1])/2,y=d.x[1]-d.x[0],m=d.y[1]-d.y[0],x=y*e.w,b=m*e.h,_=t.sum,w=t.aaxis.min,T=t.baxis.min,k=t.caxis.min;x>E*b?i=(a=b)*E:a=(i=x)/E,o=y*i/x,l=m*a/b,r=e.l+e.w*v-i/2,n=e.t+e.h*(1-g)-a/2,p.x0=r,p.y0=n,p.w=i,p.h=a,p.sum=_,p.xaxis={type:\"linear\",range:[w+2*k-_,_-w-2*T],domain:[v-o/2,v+o/2],_id:\"x\"},f(p.xaxis,p.graphDiv._fullLayout),p.xaxis.setScale(),p.xaxis.isPtWithinRange=function(t){return t.a>=p.aaxis.range[0]&&t.a<=p.aaxis.range[1]&&t.b>=p.baxis.range[1]&&t.b<=p.baxis.range[0]&&t.c>=p.caxis.range[1]&&t.c<=p.caxis.range[0]},p.yaxis={type:\"linear\",range:[w,_-T-k],domain:[g-l/2,g+l/2],_id:\"y\"},f(p.yaxis,p.graphDiv._fullLayout),p.yaxis.setScale(),p.yaxis.isPtWithinRange=function(){return!0};var A=p.yaxis.domain[0],M=p.aaxis=h({},t.aaxis,{range:[w,_-T-k],side:\"left\",tickangle:(+t.aaxis.tickangle||0)-30,domain:[A,A+l*E],anchor:\"free\",position:0,_id:\"y\",_length:i});f(M,p.graphDiv._fullLayout),M.setScale();var S=p.baxis=h({},t.baxis,{range:[_-w-k,T],side:\"bottom\",domain:p.xaxis.domain,anchor:\"free\",position:0,_id:\"x\",_length:i});f(S,p.graphDiv._fullLayout),S.setScale();var L=p.caxis=h({},t.caxis,{range:[_-w-T,k],side:\"right\",tickangle:(+t.caxis.tickangle||0)+30,domain:[A,A+l*E],anchor:\"free\",position:0,_id:\"y\",_length:i});f(L,p.graphDiv._fullLayout),L.setScale();var C=\"M\"+r+\",\"+(n+a)+\"h\"+i+\"l-\"+i/2+\",-\"+a+\"Z\";p.clipDef.select(\"path\").attr(\"d\",C),p.layers.plotbg.select(\"path\").attr(\"d\",C);var P=\"M0,\"+a+\"h\"+i+\"l-\"+i/2+\",-\"+a+\"Z\";p.clipDefRelative.select(\"path\").attr(\"d\",P);var O=s(r,n);p.plotContainer.selectAll(\".scatterlayer,.maplayer\").attr(\"transform\",O),p.clipDefRelative.select(\"path\").attr(\"transform\",null);var I=s(r-S._offset,n+a);p.layers.baxis.attr(\"transform\",I),p.layers.bgrid.attr(\"transform\",I);var D=s(r+i/2,n)+\"rotate(30)\"+s(0,-M._offset);p.layers.aaxis.attr(\"transform\",D),p.layers.agrid.attr(\"transform\",D);var z=s(r+i/2,n)+\"rotate(-30)\"+s(0,-L._offset);p.layers.caxis.attr(\"transform\",z),p.layers.cgrid.attr(\"transform\",z),p.drawAxes(!0),p.layers.aline.select(\"path\").attr(\"d\",M.showline?\"M\"+r+\",\"+(n+a)+\"l\"+i/2+\",-\"+a:\"M0,0\").call(u.stroke,M.linecolor||\"#000\").style(\"stroke-width\",(M.linewidth||0)+\"px\"),p.layers.bline.select(\"path\").attr(\"d\",S.showline?\"M\"+r+\",\"+(n+a)+\"h\"+i:\"M0,0\").call(u.stroke,S.linecolor||\"#000\").style(\"stroke-width\",(S.linewidth||0)+\"px\"),p.layers.cline.select(\"path\").attr(\"d\",L.showline?\"M\"+(r+i/2)+\",\"+n+\"l\"+i/2+\",\"+a:\"M0,0\").call(u.stroke,L.linecolor||\"#000\").style(\"stroke-width\",(L.linewidth||0)+\"px\"),p.graphDiv._context.staticPlot||p.initInteractions(),c.setClipUrl(p.layers.frontplot,p._hasClipOnAxisFalse?null:p.clipId,p.graphDiv)},S.drawAxes=function(t){var e=this,r=e.graphDiv,n=e.id.substr(7)+\"title\",i=e.layers,a=e.aaxis,o=e.baxis,s=e.caxis;if(e.drawAx(a),e.drawAx(o),e.drawAx(s),t){var u=Math.max(a.showticklabels?a.tickfont.size/2:0,(s.showticklabels?.75*s.tickfont.size:0)+(\"outside\"===s.ticks?.87*s.ticklen:0)),c=(o.showticklabels?o.tickfont.size:0)+(\"outside\"===o.ticks?o.ticklen:0)+3;i[\"a-title\"]=b.draw(r,\"a\"+n,{propContainer:a,propName:e.id+\".aaxis.title\",placeholder:l(r,\"Click to enter Component A title\"),attributes:{x:e.x0+e.w/2,y:e.y0-a.title.font.size/3-u,\"text-anchor\":\"middle\"}}),i[\"b-title\"]=b.draw(r,\"b\"+n,{propContainer:o,propName:e.id+\".baxis.title\",placeholder:l(r,\"Click to enter Component B title\"),attributes:{x:e.x0-c,y:e.y0+e.h+.83*o.title.font.size+c,\"text-anchor\":\"middle\"}}),i[\"c-title\"]=b.draw(r,\"c\"+n,{propContainer:s,propName:e.id+\".caxis.title\",placeholder:l(r,\"Click to enter Component C title\"),attributes:{x:e.x0+e.w+c,y:e.y0+e.h+.83*s.title.font.size+c,\"text-anchor\":\"middle\"}})}},S.drawAx=function(t){var e,r=this,n=r.graphDiv,i=t._name,a=i.charAt(0),s=t._id,l=r.layers[i],u=a+\"tickLayout\",c=(e=t).ticks+String(e.ticklen)+String(e.showticklabels);r[u]!==c&&(l.selectAll(\".\"+s+\"tick\").remove(),r[u]=c),t.setScale();var f=d.calcTicks(t),h=d.clipEnds(t,f),p=d.makeTransTickFn(t),v=d.getTickSigns(t)[2],g=o.deg2rad(30),y=v*(t.linewidth||1)/2,m=v*t.ticklen,x=r.w,b=r.h,_=\"b\"===a?\"M0,\"+y+\"l\"+Math.sin(g)*m+\",\"+Math.cos(g)*m:\"M\"+y+\",0l\"+Math.cos(g)*m+\",\"+-Math.sin(g)*m,w={a:\"M0,0l\"+b+\",-\"+x/2,b:\"M0,0l-\"+x/2+\",-\"+b,c:\"M0,0l-\"+b+\",\"+x/2}[a];d.drawTicks(n,t,{vals:\"inside\"===t.ticks?h:f,layer:l,path:_,transFn:p,crisp:!1}),d.drawGrid(n,t,{vals:h,layer:r.layers[a+\"grid\"],path:w,transFn:p,crisp:!1}),d.drawLabels(n,t,{vals:f,layer:l,transFn:p,labelFns:d.makeLabelFns(t,0,30)})};var L=A.MINZOOM/2+.87,C=\"m-0.87,.5h\"+L+\"v3h-\"+(L+5.2)+\"l\"+(L/2+2.6)+\",-\"+(.87*L+4.5)+\"l2.6,1.5l-\"+L/2+\",\"+.87*L+\"Z\",P=\"m0.87,.5h-\"+L+\"v3h\"+(L+5.2)+\"l-\"+(L/2+2.6)+\",-\"+(.87*L+4.5)+\"l-2.6,1.5l\"+L/2+\",\"+.87*L+\"Z\",O=\"m0,1l\"+L/2+\",\"+.87*L+\"l2.6,-1.5l-\"+(L/2+2.6)+\",-\"+(.87*L+4.5)+\"l-\"+(L/2+2.6)+\",\"+(.87*L+4.5)+\"l2.6,1.5l\"+L/2+\",-\"+.87*L+\"Z\",I=!0;function D(t){n.select(t).selectAll(\".zoombox,.js-zoombox-backdrop,.js-zoombox-menu,.zoombox-corners\").remove()}S.clearOutline=function(){k(this.dragOptions),T(this.dragOptions.gd)},S.initInteractions=function(){var t,e,r,n,f,h,p,d,y,b,T,k,M=this,S=M.layers.plotbg.select(\"path\").node(),L=M.graphDiv,z=L._fullLayout._zoomlayer;function R(t){var e={};return e[M.id+\".aaxis.min\"]=t.a,e[M.id+\".baxis.min\"]=t.b,e[M.id+\".caxis.min\"]=t.c,e}function F(t,e){var r=L._fullLayout.clickmode;D(L),2===t&&(L.emit(\"plotly_doubleclick\",null),a.call(\"_guiRelayout\",L,R({a:0,b:0,c:0}))),r.indexOf(\"select\")>-1&&1===t&&w(e,L,[M.xaxis],[M.yaxis],M.id,M.dragOptions),r.indexOf(\"event\")>-1&&g.click(L,e,M.id)}function B(t,e){return 1-e/M.h}function N(t,e){return 1-(t+(M.h-e)/Math.sqrt(3))/M.w}function j(t,e){return(t-(M.h-e)/Math.sqrt(3))/M.w}function U(i,a){var o=r+i*t,s=n+a*e,l=Math.max(0,Math.min(1,B(0,n),B(0,s))),u=Math.max(0,Math.min(1,N(r,n),N(o,s))),c=Math.max(0,Math.min(1,j(r,n),j(o,s))),v=(l/2+c)*M.w,g=(1-l/2-u)*M.w,m=(v+g)/2,x=g-v,_=(1-l)*M.h,w=_-x/E;x<A.MINZOOM?(p=f,T.attr(\"d\",y),k.attr(\"d\",\"M0,0Z\")):(p={a:f.a+l*h,b:f.b+u*h,c:f.c+c*h},T.attr(\"d\",y+\"M\"+v+\",\"+_+\"H\"+g+\"L\"+m+\",\"+w+\"L\"+v+\",\"+_+\"Z\"),k.attr(\"d\",\"M\"+r+\",\"+n+\"m0.5,0.5h5v-2h-5v-5h-2v5h-5v2h5v5h2ZM\"+v+\",\"+_+C+\"M\"+g+\",\"+_+P+\"M\"+m+\",\"+w+O)),b||(T.transition().style(\"fill\",d>.2?\"rgba(0,0,0,0.4)\":\"rgba(255,255,255,0.3)\").duration(200),k.transition().style(\"opacity\",1).duration(200),b=!0),L.emit(\"plotly_relayouting\",R(p))}function V(){D(L),p!==f&&(a.call(\"_guiRelayout\",L,R(p)),I&&L.data&&L._context.showTips&&(o.notifier(l(L,\"Double-click to zoom back out\"),\"long\"),I=!1))}function H(t,e){var r=t/M.xaxis._m,n=e/M.yaxis._m,i=[(p={a:f.a-n,b:f.b+(r+n)/2,c:f.c-(r-n)/2}).a,p.b,p.c].sort(o.sorterAsc),a=i.indexOf(p.a),l=i.indexOf(p.b),u=i.indexOf(p.c);i[0]<0&&(i[1]+i[0]/2<0?(i[2]+=i[0]+i[1],i[0]=i[1]=0):(i[2]+=i[0]/2,i[1]+=i[0]/2,i[0]=0),p={a:i[a],b:i[l],c:i[u]},e=(f.a-p.a)*M.yaxis._m,t=(f.c-p.c-f.b+p.b)*M.xaxis._m);var h=s(M.x0+t,M.y0+e);M.plotContainer.selectAll(\".scatterlayer,.maplayer\").attr(\"transform\",h);var d=s(-t,-e);M.clipDefRelative.select(\"path\").attr(\"transform\",d),M.aaxis.range=[p.a,M.sum-p.b-p.c],M.baxis.range=[M.sum-p.a-p.c,p.b],M.caxis.range=[M.sum-p.a-p.b,p.c],M.drawAxes(!1),M._hasClipOnAxisFalse&&M.plotContainer.select(\".scatterlayer\").selectAll(\".trace\").call(c.hideOutsideRangePoints,M),L.emit(\"plotly_relayouting\",R(p))}function q(){a.call(\"_guiRelayout\",L,R(p))}this.dragOptions={element:S,gd:L,plotinfo:{id:M.id,domain:L._fullLayout[M.id].domain,xaxis:M.xaxis,yaxis:M.yaxis},subplot:M.id,prepFn:function(a,l,c){M.dragOptions.xaxes=[M.xaxis],M.dragOptions.yaxes=[M.yaxis],t=L._fullLayout._invScaleX,e=L._fullLayout._invScaleY;var v=M.dragOptions.dragmode=L._fullLayout.dragmode;m(v)?M.dragOptions.minDrag=1:M.dragOptions.minDrag=void 0,\"zoom\"===v?(M.dragOptions.moveFn=U,M.dragOptions.clickFn=F,M.dragOptions.doneFn=V,function(t,e,a){var l=S.getBoundingClientRect();r=e-l.left,n=a-l.top,L._fullLayout._calcInverseTransform(L);var c=L._fullLayout._invTransform,v=o.apply3DTransform(c)(r,n);r=v[0],n=v[1],f={a:M.aaxis.range[0],b:M.baxis.range[1],c:M.caxis.range[1]},p=f,h=M.aaxis.range[1]-f.a,d=i(M.graphDiv._fullLayout[M.id].bgcolor).getLuminance(),y=\"M0,\"+M.h+\"L\"+M.w/2+\", 0L\"+M.w+\",\"+M.h+\"Z\",b=!1,T=z.append(\"path\").attr(\"class\",\"zoombox\").attr(\"transform\",s(M.x0,M.y0)).style({fill:d>.2?\"rgba(0,0,0,0)\":\"rgba(255,255,255,0)\",\"stroke-width\":0}).attr(\"d\",y),k=z.append(\"path\").attr(\"class\",\"zoombox-corners\").attr(\"transform\",s(M.x0,M.y0)).style({fill:u.background,stroke:u.defaultLine,\"stroke-width\":1,opacity:0}).attr(\"d\",\"M0,0Z\"),M.clearOutline(L)}(0,l,c)):\"pan\"===v?(M.dragOptions.moveFn=H,M.dragOptions.clickFn=F,M.dragOptions.doneFn=q,f={a:M.aaxis.range[0],b:M.baxis.range[1],c:M.caxis.range[1]},p=f,M.clearOutline(L)):(x(v)||m(v))&&_(a,l,c,M.dragOptions,v)}},S.onmousemove=function(t){g.hover(L,t,M.id),L._fullLayout._lasthover=S,L._fullLayout._hoversubplot=M.id},S.onmouseout=function(t){L._dragging||v.unhover(L,t)},v.init(this.dragOptions)}},73972:function(t,e,r){\"use strict\";var n=r(47769),i=r(64213),a=r(75138),o=r(41965),s=r(24401).addStyleRule,l=r(1426),u=r(9012),c=r(10820),f=l.extendFlat,h=l.extendDeepAll;function 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f=n(a);this.distinctPositions=f.vals,1===f.vals.length&&r!==1/0?this.minDiff=r:this.minDiff=Math.min(f.minDiff,r);var h=(e.posAxis||{}).type;\"category\"!==h&&\"multicategory\"!==h||(this.minDiff=1),this.binWidth=this.minDiff,this.bins={}}i.prototype.put=function(t,e){var r=this.getLabel(t,e),n=this.bins[r]||0;return this.bins[r]=n+e,n},i.prototype.get=function(t,e){var r=this.getLabel(t,e);return this.bins[r]||0},i.prototype.getLabel=function(t,e){return(e<0&&this.sepNegVal?\"v\":\"^\")+(this.overlapNoMerge?t:Math.round(t/this.binWidth))}},16688:function(t,e,r){\"use strict\";var n=r(39898),i=r(7901),a=r(91424),o=r(71828),s=r(73972),l=r(72597).resizeText,u=r(1486),c=u.textfont,f=u.insidetextfont,h=u.outsidetextfont,p=r(69383);function d(t,e,r){a.pointStyle(t.selectAll(\"path\"),e,r),v(t,e,r)}function v(t,e,r){t.selectAll(\"text\").each((function(t){var i=n.select(this),s=o.ensureUniformFontSize(r,g(i,t,e,r));a.font(i,s)}))}function g(t,e,r,n){var 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n=r(7901),i=r(52075).hasColorscale,a=r(1586),o=r(71828).coercePattern;t.exports=function(t,e,r,s,l){var u=r(\"marker.color\",s),c=i(t,\"marker\");c&&a(t,e,l,r,{prefix:\"marker.\",cLetter:\"c\"}),r(\"marker.line.color\",n.defaultLine),i(t,\"marker.line\")&&a(t,e,l,r,{prefix:\"marker.line.\",cLetter:\"c\"}),r(\"marker.line.width\"),r(\"marker.opacity\"),o(r,\"marker.pattern\",u,c),r(\"selected.marker.color\"),r(\"unselected.marker.color\")}},72597:function(t,e,r){\"use strict\";var n=r(39898),i=r(71828);function a(t){return\"_\"+t+\"Text_minsize\"}t.exports={recordMinTextSize:function(t,e,r){if(r.uniformtext.mode){var n=a(t),i=r.uniformtext.minsize,o=e.scale*e.fontSize;e.hide=o<i,r[n]=r[n]||1/0,e.hide||(r[n]=Math.min(r[n],Math.max(o,i)))}},clearMinTextSize:function(t,e){e[a(t)]=void 0},resizeText:function(t,e,r){var a=t._fullLayout,o=a[\"_\"+r+\"Text_minsize\"];if(o){var 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i,a=t.cd[0].trace.hoveron,o=[];return-1!==a.indexOf(\"boxes\")&&(o=o.concat(l(t,e,r,n))),-1!==a.indexOf(\"points\")&&(i=u(t,e,r)),\"closest\"===n?i?[i]:o:i?(o.push(i),o):o},hoverOnBoxes:l,hoverOnPoints:u}},83832:function(t,e,r){\"use strict\";t.exports={attributes:r(53522),layoutAttributes:r(40094),supplyDefaults:r(36411).supplyDefaults,crossTraceDefaults:r(36411).crossTraceDefaults,supplyLayoutDefaults:r(4199).supplyLayoutDefaults,calc:r(48518),crossTraceCalc:r(37188).crossTraceCalc,plot:r(86047).plot,style:r(58063).style,styleOnSelect:r(58063).styleOnSelect,hoverPoints:r(41868).hoverPoints,eventData:r(74907),selectPoints:r(24626),moduleType:\"trace\",name:\"box\",basePlotModule:r(93612),categories:[\"cartesian\",\"svg\",\"symbols\",\"oriented\",\"box-violin\",\"showLegend\",\"boxLayout\",\"zoomScale\"],meta:{}}},40094:function(t){\"use 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b=t.selectAll(\"path.box\").data(\"violin\"!==r.type||r.box.visible?i.identity:[]);b.enter().append(\"path\").style(\"vector-effect\",o?\"none\":\"non-scaling-stroke\").attr(\"class\",\"box\"),b.exit().remove(),b.each((function(t){if(t.empty)return n.select(this).attr(\"d\",\"M0,0Z\");var e=f.c2l(t.pos+p,!0),a=f.l2p(e-s)+v,o=f.l2p(e+l)+v,b=h?(a+o)/2:f.l2p(e)+v,_=r.whiskerwidth,w=h?a*_+(1-_)*b:f.l2p(e-d)+v,T=h?o*_+(1-_)*b:f.l2p(e+d)+v,k=f.l2p(e-s*x)+v,A=f.l2p(e+l*x)+v,M=\"sd\"===r.sizemode,S=c.c2p(M?t.mean-t.sd:t.q1,!0),E=M?c.c2p(t.mean+t.sd,!0):c.c2p(t.q3,!0),L=i.constrain(M?c.c2p(t.mean,!0):c.c2p(t.med,!0),Math.min(S,E)+1,Math.max(S,E)-1),C=void 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t.forEach((function(t){t.t=n,t.trace=r})),t}:[]);f.enter().append(\"g\").attr(\"class\",\"points\"),f.exit().remove();var h=f.selectAll(\"path\").data((function(t){var e,n,a=t.pts2,o=Math.max((t.max-t.min)/10,t.q3-t.q1),s=1e-9*o,f=.01*o,h=[],p=0;if(r.jitter){if(0===o)for(p=1,h=new Array(a.length),e=0;e<a.length;e++)h[e]=1;else for(e=0;e<a.length;e++){var d=Math.max(0,e-5),v=a[d].v,g=Math.min(a.length-1,e+5),y=a[g].v;\"all\"!==c&&(a[e].v<t.lf?y=Math.min(y,t.lf):v=Math.max(v,t.uf));var m=Math.sqrt(f*(g-d)/(y-v+s))||0;m=i.constrain(Math.abs(m),0,1),h.push(m),p=Math.max(m,p)}n=2*r.jitter/(p||1)}for(e=0;e<a.length;e++){var x=a[e],b=x.v,_=r.jitter?n*h[e]*(i.pseudoRandom()-.5):0,w=t.pos+u+l*(r.pointpos+_);\"h\"===r.orientation?(x.y=w,x.x=b):(x.x=w,x.y=b),\"suspectedoutliers\"===c&&b<t.uo&&b>t.lo&&(x.so=!0)}return a}));h.enter().append(\"path\").classed(\"point\",!0),h.exit().remove(),h.call(a.translatePoints,o,s)}function l(t,e,r,a){var o,s,l=e.val,u=e.pos,c=!!u.rangebreaks,f=a.bPos,h=a.bPosPxOffset||0,p=r.boxmean||(r.meanline||{}).visible;Array.isArray(a.bdPos)?(o=a.bdPos[0],s=a.bdPos[1]):(o=a.bdPos,s=a.bdPos);var d=t.selectAll(\"path.mean\").data(\"box\"===r.type&&r.boxmean||\"violin\"===r.type&&r.box.visible&&r.meanline.visible?i.identity:[]);d.enter().append(\"path\").attr(\"class\",\"mean\").style({fill:\"none\",\"vector-effect\":\"non-scaling-stroke\"}),d.exit().remove(),d.each((function(t){var e=u.c2l(t.pos+f,!0),i=u.l2p(e-o)+h,a=u.l2p(e+s)+h,d=c?(i+a)/2:u.l2p(e)+h,v=l.c2p(t.mean,!0),g=l.c2p(t.mean-t.sd,!0),y=l.c2p(t.mean+t.sd,!0);\"h\"===r.orientation?n.select(this).attr(\"d\",\"M\"+v+\",\"+i+\"V\"+a+(\"sd\"===p?\"m0,0L\"+g+\",\"+d+\"L\"+v+\",\"+i+\"L\"+y+\",\"+d+\"Z\":\"\")):n.select(this).attr(\"d\",\"M\"+i+\",\"+v+\"H\"+a+(\"sd\"===p?\"m0,0L\"+d+\",\"+g+\"L\"+i+\",\"+v+\"L\"+d+\",\"+y+\"Z\":\"\"))}))}t.exports={plot:function(t,e,r,a){var u=t._context.staticPlot,c=e.xaxis,f=e.yaxis;i.makeTraceGroups(a,r,\"trace boxes\").each((function(t){var e,r,i=n.select(this),a=t[0],h=a.t,p=a.trace;h.wdPos=h.bdPos*p.whiskerwidth,!0!==p.visible||h.empty?i.remove():(\"h\"===p.orientation?(e=f,r=c):(e=c,r=f),o(i,{pos:e,val:r},p,h,u),s(i,{x:c,y:f},p,h),l(i,{pos:e,val:r},p,h))}))},plotBoxAndWhiskers:o,plotPoints:s,plotBoxMean:l}},24626:function(t){\"use strict\";t.exports=function(t,e){var r,n,i=t.cd,a=t.xaxis,o=t.yaxis,s=[];if(!1===e)for(r=0;r<i.length;r++)for(n=0;n<(i[r].pts||[]).length;n++)i[r].pts[n].selected=0;else for(r=0;r<i.length;r++)for(n=0;n<(i[r].pts||[]).length;n++){var l=i[r].pts[n],u=a.c2p(l.x),c=o.c2p(l.y);e.contains([u,c],null,l.i,t)?(s.push({pointNumber:l.i,x:a.c2d(l.x),y:o.c2d(l.y)}),l.selected=1):l.selected=0}return s}},58063:function(t,e,r){\"use strict\";var n=r(39898),i=r(7901),a=r(91424);t.exports={style:function(t,e,r){var o=r||n.select(t).selectAll(\"g.trace.boxes\");o.style(\"opacity\",(function(t){return 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n=r(82196),i=r(9012),a=r(41940),o=r(12663).axisHoverFormat,s=r(5386).fF,l=r(5386).si,u=r(50693),c=r(1426).extendFlat;t.exports=c({z:{valType:\"data_array\",editType:\"calc\"},x:c({},n.x,{impliedEdits:{xtype:\"array\"}}),x0:c({},n.x0,{impliedEdits:{xtype:\"scaled\"}}),dx:c({},n.dx,{impliedEdits:{xtype:\"scaled\"}}),y:c({},n.y,{impliedEdits:{ytype:\"array\"}}),y0:c({},n.y0,{impliedEdits:{ytype:\"scaled\"}}),dy:c({},n.dy,{impliedEdits:{ytype:\"scaled\"}}),xperiod:c({},n.xperiod,{impliedEdits:{xtype:\"scaled\"}}),yperiod:c({},n.yperiod,{impliedEdits:{ytype:\"scaled\"}}),xperiod0:c({},n.xperiod0,{impliedEdits:{xtype:\"scaled\"}}),yperiod0:c({},n.yperiod0,{impliedEdits:{ytype:\"scaled\"}}),xperiodalignment:c({},n.xperiodalignment,{impliedEdits:{xtype:\"scaled\"}}),yperiodalignment:c({},n.yperiodalignment,{impliedEdits:{ytype:\"scaled\"}}),text:{valType:\"data_array\",editType:\"calc\"},hovertext:{valType:\"data_array\",editType:\"calc\"},transpose:{valType:\"boolean\",dflt:!1,editType:\"calc\"},xtype:{valType:\"enumerated\",values:[\"array\",\"scaled\"],editType:\"calc+clearAxisTypes\"},ytype:{valType:\"enumerated\",values:[\"array\",\"scaled\"],editType:\"calc+clearAxisTypes\"},zsmooth:{valType:\"enumerated\",values:[\"fast\",\"best\",!1],dflt:!1,editType:\"calc\"},hoverongaps:{valType:\"boolean\",dflt:!0,editType:\"none\"},connectgaps:{valType:\"boolean\",editType:\"calc\"},xgap:{valType:\"number\",dflt:0,min:0,editType:\"plot\"},ygap:{valType:\"number\",dflt:0,min:0,editType:\"plot\"},xhoverformat:o(\"x\"),yhoverformat:o(\"y\"),zhoverformat:o(\"z\",1),hovertemplate:s(),texttemplate:l({arrayOk:!1,editType:\"plot\"},{keys:[\"x\",\"y\",\"z\",\"text\"]}),textfont:a({editType:\"plot\",autoSize:!0,autoColor:!0,colorEditType:\"style\"}),showlegend:c({},i.showlegend,{dflt:!1})},{transforms:void 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t.width})).attr(\"height\",(function(t){return t.height})).attr(\"y\",(function(t){return t.y})).attr(\"cursor\",(function(t){return\"fixed\"===t.parcatsViewModel.arrangement?\"default\":\"perpendicular\"===t.parcatsViewModel.arrangement?\"ns-resize\":\"move\"})),k(D),E.exit().remove(),S.append(\"text\").attr(\"class\",\"catlabel\").attr(\"pointer-events\",\"none\");var z=e._fullLayout.paper_bgcolor;M.select(\"text.catlabel\").attr(\"text-anchor\",(function(t){return d(t)?\"start\":\"end\"})).attr(\"alignment-baseline\",\"middle\").style(\"text-shadow\",f.makeTextShadow(z)).style(\"fill\",\"rgb(0, 0, 0)\").attr(\"x\",(function(t){return d(t)?t.width+5:-5})).attr(\"y\",(function(t){return t.height/2})).text((function(t){return t.model.categoryLabel})).each((function(t){u.font(n.select(this),t.parcatsViewModel.categorylabelfont),f.convertToTspans(n.select(this),e)})),S.append(\"text\").attr(\"class\",\"dimlabel\"),M.select(\"text.dimlabel\").attr(\"text-anchor\",\"middle\").attr(\"alignment-baseline\",\"baseline\").attr(\"cursor\",(function(t){return\"fixed\"===t.parcatsViewModel.arrangement?\"default\":\"ew-resize\"})).attr(\"x\",(function(t){return t.width/2})).attr(\"y\",-5).text((function(t,e){return 0===e?t.parcatsViewModel.model.dimensions[t.model.dimensionInd].dimensionLabel:null})).each((function(t){u.font(n.select(this),t.parcatsViewModel.labelfont)})),M.selectAll(\"rect.bandrect\").on(\"mouseover\",L).on(\"mouseout\",C),M.exit().remove(),A.call(n.behavior.drag().origin((function(t){return{x:t.x,y:0}})).on(\"dragstart\",P).on(\"drag\",O).on(\"dragend\",I)),h.each((function(t){t.traceSelection=n.select(this),t.pathSelection=n.select(this).selectAll(\"g.paths\").selectAll(\"path.path\"),t.dimensionSelection=n.select(this).selectAll(\"g.dimensions\").selectAll(\"g.dimension\")})),h.exit().remove()}function p(t){return t.key}function d(t){var e=t.parcatsViewModel.dimensions.length,r=t.parcatsViewModel.dimensions[e-1].model.dimensionInd;return t.model.dimensionInd===r}function v(t,e){return t.model.rawColor>e.model.rawColor?1:t.model.rawColor<e.model.rawColor?-1:0}function g(t){if(!t.parcatsViewModel.dragDimension&&-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"skip\")){s.raiseToTop(this),w(n.select(this));var e=m(t),r=x(t);if(t.parcatsViewModel.graphDiv.emit(\"plotly_hover\",{points:e,event:n.event,constraints:r}),-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"none\")){var i,a,l,u=n.mouse(this)[0],f=t.parcatsViewModel.graphDiv,h=t.parcatsViewModel.trace,p=f._fullLayout,d=p._paperdiv.node().getBoundingClientRect(),v=t.parcatsViewModel.graphDiv.getBoundingClientRect();for(l=0;l<t.leftXs.length-1;l++)if(t.leftXs[l]+t.dimWidths[l]-2<=u&&u<=t.leftXs[l+1]+2){var g=t.parcatsViewModel.dimensions[l],y=t.parcatsViewModel.dimensions[l+1];i=(g.x+g.width+y.x)/2,a=(t.topYs[l]+t.topYs[l+1]+t.height)/2;break}var b=t.parcatsViewModel.x+i,_=t.parcatsViewModel.y+a,T=c.mostReadable(t.model.color,[\"black\",\"white\"]),k=t.model.count,A=k/t.parcatsViewModel.model.count,M={countLabel:k,probabilityLabel:A.toFixed(3)},S=[];-1!==t.parcatsViewModel.hoverinfoItems.indexOf(\"count\")&&S.push([\"Count:\",M.countLabel].join(\" \")),-1!==t.parcatsViewModel.hoverinfoItems.indexOf(\"probability\")&&S.push([\"P:\",M.probabilityLabel].join(\" \"));var E=S.join(\"<br>\"),L=n.mouse(f)[0];o.loneHover({trace:h,x:b-d.left+v.left,y:_-d.top+v.top,text:E,color:t.model.color,borderColor:\"black\",fontFamily:'Monaco, \"Courier New\", monospace',fontSize:10,fontColor:T,idealAlign:L<b?\"right\":\"left\",hovertemplate:(h.line||{}).hovertemplate,hovertemplateLabels:M,eventData:[{data:h._input,fullData:h,count:k,probability:A}]},{container:p._hoverlayer.node(),outerContainer:p._paper.node(),gd:f})}}}function y(t){if(!t.parcatsViewModel.dragDimension&&(_(n.select(this)),o.loneUnhover(t.parcatsViewModel.graphDiv._fullLayout._hoverlayer.node()),t.parcatsViewModel.pathSelection.sort(v),-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"skip\"))){var e=m(t),r=x(t);t.parcatsViewModel.graphDiv.emit(\"plotly_unhover\",{points:e,event:n.event,constraints:r})}}function m(t){for(var e=[],r=D(t.parcatsViewModel),n=0;n<t.model.valueInds.length;n++){var i=t.model.valueInds[n];e.push({curveNumber:r,pointNumber:i})}return e}function x(t){for(var e={},r=t.parcatsViewModel.model.dimensions,n=0;n<r.length;n++){var i=r[n],a=i.categories[t.model.categoryInds[n]];e[i.containerInd]=a.categoryValue}return void 0!==t.model.rawColor&&(e.color=t.model.rawColor),e}function b(t){if(-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"skip\")){var e=m(t),r=x(t);t.parcatsViewModel.graphDiv.emit(\"plotly_click\",{points:e,event:n.event,constraints:r})}}function _(t){t.attr(\"fill\",(function(t){return t.model.color})).attr(\"fill-opacity\",.6).attr(\"stroke\",\"lightgray\").attr(\"stroke-width\",.2).attr(\"stroke-opacity\",1)}function w(t){t.attr(\"fill-opacity\",.8).attr(\"stroke\",(function(t){return c.mostReadable(t.model.color,[\"black\",\"white\"])})).attr(\"stroke-width\",.3)}function T(t){t.select(\"rect.catrect\").attr(\"stroke\",\"black\").attr(\"stroke-width\",1).attr(\"stroke-opacity\",1)}function k(t){t.attr(\"stroke\",\"black\").attr(\"stroke-width\",.2).attr(\"stroke-opacity\",1).attr(\"fill-opacity\",1)}function A(t){var e=t.parcatsViewModel.pathSelection,r=t.categoryViewModel.model.dimensionInd,n=t.categoryViewModel.model.categoryInd;return e.filter((function(e){return e.model.categoryInds[r]===n&&e.model.color===t.color}))}function M(t,e,r){var i=n.select(t).datum(),a=i.categoryViewModel.model,o=i.parcatsViewModel.graphDiv,s=n.select(t.parentNode).selectAll(\"rect.bandrect\"),l=[];s.each((function(t){A(t).each((function(t){Array.prototype.push.apply(l,m(t))}))}));var u={};u[a.dimensionInd]=a.categoryValue,o.emit(e,{points:l,event:r,constraints:u})}function S(t,e,r){var i=n.select(t).datum(),a=i.categoryViewModel.model,o=i.parcatsViewModel.graphDiv,s=A(i),l=[];s.each((function(t){Array.prototype.push.apply(l,m(t))}));var u={};u[a.dimensionInd]=a.categoryValue,void 0!==i.rawColor&&(u.color=i.rawColor),o.emit(e,{points:l,event:r,constraints:u})}function E(t,e,r){t._fullLayout._calcInverseTransform(t);var i,a,o=t._fullLayout._invScaleX,s=t._fullLayout._invScaleY,l=n.select(r.parentNode).select(\"rect.catrect\"),u=l.node().getBoundingClientRect(),c=l.datum(),f=c.parcatsViewModel,h=f.model.dimensions[c.model.dimensionInd],p=f.trace,d=u.top+u.height/2;f.dimensions.length>1&&h.displayInd===f.dimensions.length-1?(i=u.left,a=\"left\"):(i=u.left+u.width,a=\"right\");var v=c.model.count,g=c.model.categoryLabel,y=v/c.parcatsViewModel.model.count,m={countLabel:v,categoryLabel:g,probabilityLabel:y.toFixed(3)},x=[];-1!==c.parcatsViewModel.hoverinfoItems.indexOf(\"count\")&&x.push([\"Count:\",m.countLabel].join(\" \")),-1!==c.parcatsViewModel.hoverinfoItems.indexOf(\"probability\")&&x.push([\"P(\"+m.categoryLabel+\"):\",m.probabilityLabel].join(\" \"));var b=x.join(\"<br>\");return{trace:p,x:o*(i-e.left),y:s*(d-e.top),text:b,color:\"lightgray\",borderColor:\"black\",fontFamily:'Monaco, \"Courier New\", monospace',fontSize:12,fontColor:\"black\",idealAlign:a,hovertemplate:p.hovertemplate,hovertemplateLabels:m,eventData:[{data:p._input,fullData:p,count:v,category:g,probability:y}]}}function L(t){if(!t.parcatsViewModel.dragDimension&&-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"skip\")){if(n.mouse(this)[1]<-1)return;var e,r=t.parcatsViewModel.graphDiv,i=r._fullLayout,a=i._paperdiv.node().getBoundingClientRect(),l=t.parcatsViewModel.hoveron,u=this;\"color\"===l?(function(t){var e=n.select(t).datum(),r=A(e);w(r),r.each((function(){s.raiseToTop(this)})),n.select(t.parentNode).selectAll(\"rect.bandrect\").filter((function(t){return t.color===e.color})).each((function(){s.raiseToTop(this),n.select(this).attr(\"stroke\",\"black\").attr(\"stroke-width\",1.5)}))}(u),S(u,\"plotly_hover\",n.event)):(function(t){n.select(t.parentNode).selectAll(\"rect.bandrect\").each((function(t){var e=A(t);w(e),e.each((function(){s.raiseToTop(this)}))})),n.select(t.parentNode).select(\"rect.catrect\").attr(\"stroke\",\"black\").attr(\"stroke-width\",2.5)}(u),M(u,\"plotly_hover\",n.event)),-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"none\")&&(\"category\"===l?e=E(r,a,u):\"color\"===l?e=function(t,e,r){t._fullLayout._calcInverseTransform(t);var i,a,o=t._fullLayout._invScaleX,s=t._fullLayout._invScaleY,l=r.getBoundingClientRect(),u=n.select(r).datum(),f=u.categoryViewModel,h=f.parcatsViewModel,p=h.model.dimensions[f.model.dimensionInd],d=h.trace,v=l.y+l.height/2;h.dimensions.length>1&&p.displayInd===h.dimensions.length-1?(i=l.left,a=\"left\"):(i=l.left+l.width,a=\"right\");var g=f.model.categoryLabel,y=u.parcatsViewModel.model.count,m=0;u.categoryViewModel.bands.forEach((function(t){t.color===u.color&&(m+=t.count)}));var x=f.model.count,b=0;h.pathSelection.each((function(t){t.model.color===u.color&&(b+=t.model.count)}));var _=m/y,w=m/b,T=m/x,k={countLabel:y,categoryLabel:g,probabilityLabel:_.toFixed(3)},A=[];-1!==f.parcatsViewModel.hoverinfoItems.indexOf(\"count\")&&A.push([\"Count:\",k.countLabel].join(\" \")),-1!==f.parcatsViewModel.hoverinfoItems.indexOf(\"probability\")&&(A.push(\"P(color ∩ \"+g+\"): \"+k.probabilityLabel),A.push(\"P(\"+g+\" | color): \"+w.toFixed(3)),A.push(\"P(color | \"+g+\"): \"+T.toFixed(3)));var M=A.join(\"<br>\"),S=c.mostReadable(u.color,[\"black\",\"white\"]);return{trace:d,x:o*(i-e.left),y:s*(v-e.top),text:M,color:u.color,borderColor:\"black\",fontFamily:'Monaco, \"Courier New\", monospace',fontColor:S,fontSize:10,idealAlign:a,hovertemplate:d.hovertemplate,hovertemplateLabels:k,eventData:[{data:d._input,fullData:d,category:g,count:y,probability:_,categorycount:x,colorcount:b,bandcolorcount:m}]}}(r,a,u):\"dimension\"===l&&(e=function(t,e,r){var i=[];return n.select(r.parentNode.parentNode).selectAll(\"g.category\").select(\"rect.catrect\").each((function(){i.push(E(t,e,this))})),i}(r,a,u)),e&&o.loneHover(e,{container:i._hoverlayer.node(),outerContainer:i._paper.node(),gd:r}))}}function C(t){var e=t.parcatsViewModel;e.dragDimension||(_(e.pathSelection),T(e.dimensionSelection.selectAll(\"g.category\")),k(e.dimensionSelection.selectAll(\"g.category\").selectAll(\"rect.bandrect\")),o.loneUnhover(e.graphDiv._fullLayout._hoverlayer.node()),e.pathSelection.sort(v),-1!==e.hoverinfoItems.indexOf(\"skip\"))||(\"color\"===t.parcatsViewModel.hoveron?S(this,\"plotly_unhover\",n.event):M(this,\"plotly_unhover\",n.event))}function P(t){\"fixed\"!==t.parcatsViewModel.arrangement&&(t.dragDimensionDisplayInd=t.model.displayInd,t.initialDragDimensionDisplayInds=t.parcatsViewModel.model.dimensions.map((function(t){return t.displayInd})),t.dragHasMoved=!1,t.dragCategoryDisplayInd=null,n.select(this).selectAll(\"g.category\").select(\"rect.catrect\").each((function(e){var r=n.mouse(this)[0],i=n.mouse(this)[1];-2<=r&&r<=e.width+2&&-2<=i&&i<=e.height+2&&(t.dragCategoryDisplayInd=e.model.displayInd,t.initialDragCategoryDisplayInds=t.model.categories.map((function(t){return t.displayInd})),e.model.dragY=e.y,s.raiseToTop(this.parentNode),n.select(this.parentNode).selectAll(\"rect.bandrect\").each((function(e){e.y<i&&i<=e.y+e.height&&(t.potentialClickBand=this)})))})),t.parcatsViewModel.dragDimension=t,o.loneUnhover(t.parcatsViewModel.graphDiv._fullLayout._hoverlayer.node()))}function O(t){if(\"fixed\"!==t.parcatsViewModel.arrangement&&(t.dragHasMoved=!0,null!==t.dragDimensionDisplayInd)){var e=t.dragDimensionDisplayInd,r=e-1,i=e+1,a=t.parcatsViewModel.dimensions[e];if(null!==t.dragCategoryDisplayInd){var o=a.categories[t.dragCategoryDisplayInd];o.model.dragY+=n.event.dy;var s=o.model.dragY,l=o.model.displayInd,u=a.categories,c=u[l-1],f=u[l+1];void 0!==c&&s<c.y+c.height/2&&(o.model.displayInd=c.model.displayInd,c.model.displayInd=l),void 0!==f&&s+o.height>f.y+f.height/2&&(o.model.displayInd=f.model.displayInd,f.model.displayInd=l),t.dragCategoryDisplayInd=o.model.displayInd}if(null===t.dragCategoryDisplayInd||\"freeform\"===t.parcatsViewModel.arrangement){a.model.dragX=n.event.x;var h=t.parcatsViewModel.dimensions[r],p=t.parcatsViewModel.dimensions[i];void 0!==h&&a.model.dragX<h.x+h.width&&(a.model.displayInd=h.model.displayInd,h.model.displayInd=e),void 0!==p&&a.model.dragX+a.width>p.x&&(a.model.displayInd=p.model.displayInd,p.model.displayInd=t.dragDimensionDisplayInd),t.dragDimensionDisplayInd=a.model.displayInd}j(t.parcatsViewModel),N(t.parcatsViewModel),R(t.parcatsViewModel),z(t.parcatsViewModel)}}function I(t){if(\"fixed\"!==t.parcatsViewModel.arrangement&&null!==t.dragDimensionDisplayInd){n.select(this).selectAll(\"text\").attr(\"font-weight\",\"normal\");var e={},r=D(t.parcatsViewModel),i=t.parcatsViewModel.model.dimensions.map((function(t){return t.displayInd})),o=t.initialDragDimensionDisplayInds.some((function(t,e){return t!==i[e]}));o&&i.forEach((function(r,n){var i=t.parcatsViewModel.model.dimensions[n].containerInd;e[\"dimensions[\"+i+\"].displayindex\"]=r}));var s=!1;if(null!==t.dragCategoryDisplayInd){var l=t.model.categories.map((function(t){return t.displayInd}));if(s=t.initialDragCategoryDisplayInds.some((function(t,e){return t!==l[e]}))){var u=t.model.categories.slice().sort((function(t,e){return t.displayInd-e.displayInd})),c=u.map((function(t){return t.categoryValue})),f=u.map((function(t){return t.categoryLabel}));e[\"dimensions[\"+t.model.containerInd+\"].categoryarray\"]=[c],e[\"dimensions[\"+t.model.containerInd+\"].ticktext\"]=[f],e[\"dimensions[\"+t.model.containerInd+\"].categoryorder\"]=\"array\"}}-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"skip\")&&!t.dragHasMoved&&t.potentialClickBand&&(\"color\"===t.parcatsViewModel.hoveron?S(t.potentialClickBand,\"plotly_click\",n.event.sourceEvent):M(t.potentialClickBand,\"plotly_click\",n.event.sourceEvent)),t.model.dragX=null,null!==t.dragCategoryDisplayInd&&(t.parcatsViewModel.dimensions[t.dragDimensionDisplayInd].categories[t.dragCategoryDisplayInd].model.dragY=null,t.dragCategoryDisplayInd=null),t.dragDimensionDisplayInd=null,t.parcatsViewModel.dragDimension=null,t.dragHasMoved=null,t.potentialClickBand=null,j(t.parcatsViewModel),N(t.parcatsViewModel),n.transition().duration(300).ease(\"cubic-in-out\").each((function(){R(t.parcatsViewModel,!0),z(t.parcatsViewModel,!0)})).each(\"end\",(function(){(o||s)&&a.restyle(t.parcatsViewModel.graphDiv,e,[r])}))}}function D(t){for(var e,r=t.graphDiv._fullData,n=0;n<r.length;n++)if(t.key===r[n].uid){e=n;break}return e}function z(t,e){var r;void 0===e&&(e=!1),t.pathSelection.data((function(t){return t.paths}),p),(r=t.pathSelection,e?r.transition():r).attr(\"d\",(function(t){return t.svgD}))}function R(t,e){function r(t){return e?t.transition():t}void 0===e&&(e=!1),t.dimensionSelection.data((function(t){return t.dimensions}),p);var i=t.dimensionSelection.selectAll(\"g.category\").data((function(t){return t.categories}),p);r(t.dimensionSelection).attr(\"transform\",(function(t){return l(t.x,0)})),r(i).attr(\"transform\",(function(t){return l(0,t.y)})),i.select(\".dimlabel\").text((function(t,e){return 0===e?t.parcatsViewModel.model.dimensions[t.model.dimensionInd].dimensionLabel:null})),i.select(\".catlabel\").attr(\"text-anchor\",(function(t){return d(t)?\"start\":\"end\"})).attr(\"x\",(function(t){return d(t)?t.width+5:-5})).each((function(t){var e,r;d(t)?(e=t.width+5,r=\"start\"):(e=-5,r=\"end\"),n.select(this).selectAll(\"tspan\").attr(\"x\",e).attr(\"text-anchor\",r)}));var a=i.selectAll(\"rect.bandrect\").data((function(t){return t.bands}),p),o=a.enter().append(\"rect\").attr(\"class\",\"bandrect\").attr(\"cursor\",\"move\").attr(\"stroke-opacity\",0).attr(\"fill\",(function(t){return t.color})).attr(\"fill-opacity\",0);a.attr(\"fill\",(function(t){return t.color})).attr(\"width\",(function(t){return t.width})).attr(\"height\",(function(t){return t.height})).attr(\"y\",(function(t){return t.y})),k(o),a.each((function(){s.raiseToTop(this)})),a.exit().remove()}function F(t,e,r){var n,i=r[0],a=e.margin||{l:80,r:80,t:100,b:80},o=i.trace,s=o.domain,l=e.width,u=e.height,c=Math.floor(l*(s.x[1]-s.x[0])),f=Math.floor(u*(s.y[1]-s.y[0])),h=s.x[0]*l+a.l,p=e.height-s.y[1]*e.height+a.t,d=o.line.shape;n=\"all\"===o.hoverinfo?[\"count\",\"probability\"]:(o.hoverinfo||\"\").split(\"+\");var v={trace:o,key:o.uid,model:i,x:h,y:p,width:c,height:f,hoveron:o.hoveron,hoverinfoItems:n,arrangement:o.arrangement,bundlecolors:o.bundlecolors,sortpaths:o.sortpaths,labelfont:o.labelfont,categorylabelfont:o.tickfont,pathShape:d,dragDimension:null,margin:a,paths:[],dimensions:[],graphDiv:t,traceSelection:null,pathSelection:null,dimensionSelection:null};return i.dimensions&&(j(v),N(v)),v}function B(t,e,r,n,a){var o,s,l=[],u=[];for(s=0;s<r.length-1;s++)o=i(r[s]+t[s],t[s+1]),l.push(o(a)),u.push(o(1-a));var c=\"M \"+t[0]+\",\"+e[0];for(c+=\"l\"+r[0]+\",0 \",s=1;s<r.length;s++)c+=\"C\"+l[s-1]+\",\"+e[s-1]+\" \"+u[s-1]+\",\"+e[s]+\" \"+t[s]+\",\"+e[s],c+=\"l\"+r[s]+\",0 \";for(c+=\"l0,\"+n+\" \",c+=\"l -\"+r[r.length-1]+\",0 \",s=r.length-2;s>=0;s--)c+=\"C\"+u[s]+\",\"+(e[s+1]+n)+\" \"+l[s]+\",\"+(e[s]+n)+\" \"+(t[s]+r[s])+\",\"+(e[s]+n),c+=\"l-\"+r[s]+\",0 \";return c+\"Z\"}function N(t){var e=t.dimensions,r=t.model,n=e.map((function(t){return t.categories.map((function(t){return t.y}))})),i=t.model.dimensions.map((function(t){return t.categories.map((function(t){return t.displayInd}))})),a=t.model.dimensions.map((function(t){return t.displayInd})),o=t.dimensions.map((function(t){return t.model.dimensionInd})),s=e.map((function(t){return t.x})),l=e.map((function(t){return t.width})),u=[];for(var c in r.paths)r.paths.hasOwnProperty(c)&&u.push(r.paths[c]);function f(t){var e=t.categoryInds.map((function(t,e){return i[e][t]}));return o.map((function(t){return e[t]}))}u.sort((function(e,r){var n=f(e),i=f(r);return\"backward\"===t.sortpaths&&(n.reverse(),i.reverse()),n.push(e.valueInds[0]),i.push(r.valueInds[0]),t.bundlecolors&&(n.unshift(e.rawColor),i.unshift(r.rawColor)),n<i?-1:n>i?1:0}));for(var h=new Array(u.length),p=e[0].model.count,d=e[0].categories.map((function(t){return t.height})).reduce((function(t,e){return t+e})),v=0;v<u.length;v++){var g,y=u[v];g=p>0?d*(y.count/p):0;for(var m,x=new Array(n.length),b=0;b<y.categoryInds.length;b++){var 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n=r(50693),i=r(13838),a=r(41940),o=r(27670).Y,s=r(1426).extendFlat,l=r(44467).templatedArray;t.exports={domain:o({name:\"parcoords\",trace:!0,editType:\"plot\"}),labelangle:{valType:\"angle\",dflt:0,editType:\"plot\"},labelside:{valType:\"enumerated\",values:[\"top\",\"bottom\"],dflt:\"top\",editType:\"plot\"},labelfont:a({editType:\"plot\"}),tickfont:a({editType:\"plot\"}),rangefont:a({editType:\"plot\"}),dimensions:l(\"dimension\",{label:{valType:\"string\",editType:\"plot\"},tickvals:s({},i.tickvals,{editType:\"plot\"}),ticktext:s({},i.ticktext,{editType:\"plot\"}),tickformat:s({},i.tickformat,{editType:\"plot\"}),visible:{valType:\"boolean\",dflt:!0,editType:\"plot\"},range:{valType:\"info_array\",items:[{valType:\"number\",editType:\"plot\"},{valType:\"number\",editType:\"plot\"}],editType:\"plot\"},constraintrange:{valType:\"info_array\",freeLength:!0,dimensions:\"1-2\",items:[{valType:\"any\",editType:\"plot\"},{valType:\"any\",editType:\"plot\"}],editType:\"plot\"},multiselect:{valType:\"boolean\",dflt:!0,editType:\"plot\"},values:{valType:\"data_array\",editType:\"calc\"},editType:\"calc\"}),line:s({editType:\"calc\"},n(\"line\",{colorscaleDflt:\"Viridis\",autoColorDflt:!1,editTypeOverride:\"calc\"})),unselected:{line:{color:{valType:\"color\",dflt:\"#7f7f7f\",editType:\"plot\"},opacity:{valType:\"number\",min:0,max:1,dflt:\"auto\",editType:\"plot\"},editType:\"plot\"},editType:\"plot\"}}},57920:function(t,e,r){\"use 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s(\"line.colorscale\"),a(t,e,o,s,{prefix:\"line.\",cLetter:\"c\"}),l.length;e.line.color=r}return 1/0}(t,e,r,l,c);o(e,l,c),Array.isArray(v)&&v.length||(e.visible=!1),h(e,v,\"values\",g);var y={family:l.font.family,size:Math.round(l.font.size/1.2),color:l.font.color};n.coerceFont(c,\"labelfont\",y),n.coerceFont(c,\"tickfont\",y),n.coerceFont(c,\"rangefont\",y),c(\"labelangle\"),c(\"labelside\"),c(\"unselected.line.color\"),c(\"unselected.line.opacity\")}},1602:function(t,e,r){\"use strict\";var n=r(71828).isTypedArray;e.convertTypedArray=function(t){return n(t)?Array.prototype.slice.call(t):t},e.isOrdinal=function(t){return!!t.tickvals},e.isVisible=function(t){return t.visible||!(\"visible\"in t)}},67618:function(t,e,r){\"use strict\";var n=r(71791);n.plot=r(21341),t.exports=n},83398:function(t,e,r){\"use strict\";var n=r(56068),i=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragColor;\\n\\nattribute vec4 p01_04, p05_08, p09_12, p13_16,\\n               p17_20, p21_24, p25_28, p29_32,\\n               p33_36, p37_40, p41_44, p45_48,\\n               p49_52, p53_56, p57_60, colors;\\n\\nuniform mat4 dim0A, dim1A, dim0B, dim1B, dim0C, dim1C, dim0D, dim1D,\\n             loA, hiA, loB, hiB, loC, hiC, loD, hiD;\\n\\nuniform vec2 resolution, viewBoxPos, viewBoxSize;\\nuniform float maskHeight;\\nuniform float drwLayer; // 0: context, 1: focus, 2: pick\\nuniform vec4 contextColor;\\nuniform sampler2D maskTexture, palette;\\n\\nbool isPick    = (drwLayer > 1.5);\\nbool isContext = (drwLayer < 0.5);\\n\\nconst vec4 ZEROS = vec4(0.0, 0.0, 0.0, 0.0);\\nconst vec4 UNITS = vec4(1.0, 1.0, 1.0, 1.0);\\n\\nfloat val(mat4 p, mat4 v) {\\n    return dot(matrixCompMult(p, v) * UNITS, UNITS);\\n}\\n\\nfloat axisY(float ratio, mat4 A, mat4 B, mat4 C, mat4 D) {\\n    float y1 = val(A, dim0A) + val(B, dim0B) + val(C, dim0C) + val(D, dim0D);\\n    float y2 = val(A, dim1A) + val(B, dim1B) + val(C, dim1C) + val(D, dim1D);\\n    return y1 * (1.0 - ratio) + y2 * ratio;\\n}\\n\\nint iMod(int a, int b) {\\n    return a - b * (a / b);\\n}\\n\\nbool fOutside(float p, float lo, float hi) {\\n    return (lo < hi) && (lo > p || p > hi);\\n}\\n\\nbool vOutside(vec4 p, vec4 lo, vec4 hi) {\\n    return (\\n        fOutside(p[0], lo[0], hi[0]) ||\\n        fOutside(p[1], lo[1], hi[1]) ||\\n        fOutside(p[2], lo[2], hi[2]) ||\\n        fOutside(p[3], lo[3], hi[3])\\n    );\\n}\\n\\nbool mOutside(mat4 p, mat4 lo, mat4 hi) {\\n    return (\\n        vOutside(p[0], lo[0], hi[0]) ||\\n        vOutside(p[1], lo[1], hi[1]) ||\\n        vOutside(p[2], lo[2], hi[2]) ||\\n        vOutside(p[3], lo[3], hi[3])\\n    );\\n}\\n\\nbool outsideBoundingBox(mat4 A, mat4 B, mat4 C, mat4 D) {\\n    return mOutside(A, loA, hiA) ||\\n           mOutside(B, loB, hiB) ||\\n           mOutside(C, loC, hiC) ||\\n           mOutside(D, loD, hiD);\\n}\\n\\nbool outsideRasterMask(mat4 A, mat4 B, mat4 C, mat4 D) {\\n    mat4 pnts[4];\\n    pnts[0] = A;\\n    pnts[1] = B;\\n    pnts[2] = C;\\n    pnts[3] = D;\\n\\n    for(int i = 0; i < 4; ++i) {\\n        for(int j = 0; j < 4; ++j) {\\n            for(int k = 0; k < 4; ++k) {\\n                if(0 == iMod(\\n                    int(255.0 * texture2D(maskTexture,\\n                        vec2(\\n                            (float(i * 2 + j / 2) + 0.5) / 8.0,\\n                            (pnts[i][j][k] * (maskHeight - 1.0) + 1.0) / maskHeight\\n                        ))[3]\\n                    ) / int(pow(2.0, float(iMod(j * 4 + k, 8)))),\\n                    2\\n                )) return true;\\n            }\\n        }\\n    }\\n    return false;\\n}\\n\\nvec4 position(bool isContext, float v, mat4 A, mat4 B, mat4 C, mat4 D) {\\n    float x = 0.5 * sign(v) + 0.5;\\n    float y = axisY(x, A, B, C, D);\\n    float z = 1.0 - abs(v);\\n\\n    z += isContext ? 0.0 : 2.0 * float(\\n        outsideBoundingBox(A, B, C, D) ||\\n        outsideRasterMask(A, B, C, D)\\n    );\\n\\n    return vec4(\\n        2.0 * (vec2(x, y) * viewBoxSize + viewBoxPos) / resolution - 1.0,\\n        z,\\n        1.0\\n    );\\n}\\n\\nvoid main() {\\n    mat4 A = mat4(p01_04, p05_08, p09_12, p13_16);\\n    mat4 B = mat4(p17_20, p21_24, p25_28, p29_32);\\n    mat4 C = mat4(p33_36, p37_40, p41_44, p45_48);\\n    mat4 D = mat4(p49_52, p53_56, p57_60, ZEROS);\\n\\n    float v = colors[3];\\n\\n    gl_Position = position(isContext, v, A, B, C, D);\\n\\n    fragColor =\\n        isContext ? vec4(contextColor) :\\n        isPick ? vec4(colors.rgb, 1.0) : texture2D(palette, vec2(abs(v), 0.5));\\n}\\n\"]),a=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n    gl_FragColor = fragColor;\\n}\\n\"]),o=r(25706).maxDimensionCount,s=r(71828),l=1e-6,u=new Uint8Array(4),c=new Uint8Array(4),f={shape:[256,1],format:\"rgba\",type:\"uint8\",mag:\"nearest\",min:\"nearest\"};function h(t,e,r,n,i){var a=t._gl;a.enable(a.SCISSOR_TEST),a.scissor(e,r,n,i),t.clear({color:[0,0,0,0],depth:1})}function p(t,e,r,n,i,a){var o=a.key;r.drawCompleted||(function(t){t.read({x:0,y:0,width:1,height:1,data:u})}(t),r.drawCompleted=!0),function s(l){var u=Math.min(n,i-l*n);0===l&&(window.cancelAnimationFrame(r.currentRafs[o]),delete r.currentRafs[o],h(t,a.scissorX,a.scissorY,a.scissorWidth,a.viewBoxSize[1])),r.clearOnly||(a.count=2*u,a.offset=2*l*n,e(a),l*n+u<i&&(r.currentRafs[o]=window.requestAnimationFrame((function(){s(l+1)}))),r.drawCompleted=!1)}(0)}function d(t,e){for(var r=new Array(256),n=0;n<256;n++)r[n]=t(n/255).concat(e);return r}function v(t,e){return(t>>>8*e)%256/255}function g(t,e,r){for(var n=new Array(8*e),i=0,a=0;a<e;a++)for(var o=0;o<2;o++)for(var s=0;s<4;s++){var l=4*t+s,u=r[64*a+l];63===l&&0===o&&(u*=-1),n[i++]=u}return n}function y(t){var e=\"0\"+t;return e.substr(e.length-2)}function m(t){return t<o?\"p\"+y(t+1)+\"_\"+y(t+4):\"colors\"}function x(t,e,r,n,i,a,o,l,u,c,f,h,p,d){for(var v=[[],[]],g=0;g<64;g++)v[0][g]=g===i?1:0,v[1][g]=g===a?1:0;o*=d,l*=d,u*=d,c*=d;var y=t.lines.canvasOverdrag*d,m=t.domain,x=t.canvasWidth*d,b=t.canvasHeight*d,_=t.pad.l*d,w=t.pad.b*d,T=t.layoutHeight*d,k=t.layoutWidth*d,A=t.deselectedLines.color,M=t.deselectedLines.opacity;return s.extendFlat({key:f,resolution:[x,b],viewBoxPos:[o+y,l],viewBoxSize:[u,c],i0:i,i1:a,dim0A:v[0].slice(0,16),dim0B:v[0].slice(16,32),dim0C:v[0].slice(32,48),dim0D:v[0].slice(48,64),dim1A:v[1].slice(0,16),dim1B:v[1].slice(16,32),dim1C:v[1].slice(32,48),dim1D:v[1].slice(48,64),drwLayer:h,contextColor:[A[0]/255,A[1]/255,A[2]/255,\"auto\"!==M?A[3]*M:Math.max(1/255,Math.pow(1/t.lines.color.length,1/3))],scissorX:(n===e?0:o+y)+(_-y)+k*m.x[0],scissorWidth:(n===r?x-o+y:u+.5)+(n===e?o+y:0),scissorY:l+w+T*m.y[0],scissorHeight:c,viewportX:_-y+k*m.x[0],viewportY:w+T*m.y[0],viewportWidth:x,viewportHeight:b},p)}function b(t){var e=2047,r=Math.max(0,Math.floor(t[0]*e),0),n=Math.min(e,Math.ceil(t[1]*e),e);return[Math.min(r,n),Math.max(r,n)]}t.exports=function(t,e){var r,n,u,y,_,w=e.context,T=e.pick,k=e.regl,A=k._gl,M=A.getParameter(A.ALIASED_LINE_WIDTH_RANGE),S=Math.max(M[0],Math.min(M[1],e.viewModel.plotGlPixelRatio)),E={currentRafs:{},drawCompleted:!0,clearOnly:!1},L=function(t){for(var e={},r=0;r<=o;r+=4)e[m(r)]=t.buffer({usage:\"dynamic\",type:\"float\",data:new Uint8Array(0)});return e}(k),C=k.texture(f),P=[];I(e);var O=k({profile:!1,blend:{enable:w,func:{srcRGB:\"src alpha\",dstRGB:\"one minus src 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I(t){r=t.model,n=t.viewModel,u=n.dimensions.slice(),y=u[0]?u[0].values.length:0;var e=r.lines,i=T?e.color.map((function(t,r){return r/e.color.length})):e.color,a=function(t,e,r){for(var n,i=new Array(t*(o+4)),a=0,s=0;s<t;s++){for(var u=0;u<o;u++)i[a++]=u<e.length?e[u].paddedUnitValues[s]:.5;i[a++]=v(s,2),i[a++]=v(s,1),i[a++]=v(s,0),i[a++]=(n=r[s],Math.max(l,Math.min(.999999,n)))}return i}(y,u,i);!function(t,e,r){for(var n=0;n<=o;n+=4)t[m(n)](g(n/4,e,r))}(L,y,a),w||T||(C=k.texture(s.extendFlat({data:d(r.unitToColor,255)},f)))}return{render:function(t,e,n){var i,a,o,s=t.length,l=1/0,c=-1/0;for(i=0;i<s;i++)t[i].dim0.canvasX<l&&(l=t[i].dim0.canvasX,a=i),t[i].dim1.canvasX>c&&(c=t[i].dim1.canvasX,o=i);0===s&&h(k,0,0,r.canvasWidth,r.canvasHeight);var f=function(t){var e,r,n,i=[[],[]];for(n=0;n<64;n++){var a=!t&&n<u.length?u[n].brush.filter.getBounds():[-1/0,1/0];i[0][n]=a[0],i[1][n]=a[1]}var o=new Array(16384);for(e=0;e<16384;e++)o[e]=255;if(!t)for(e=0;e<u.length;e++){var s=e%8,l=(e-s)/8,c=Math.pow(2,s),f=u[e].brush.filter.get();if(!(f.length<2)){var h=b(f[0])[1];for(r=1;r<f.length;r++){var p=b(f[r]);for(n=h+1;n<p[0];n++)o[8*n+l]&=~c;h=Math.max(h,p[1])}}}var d={shape:[8,2048],format:\"alpha\",type:\"uint8\",mag:\"nearest\",min:\"nearest\",data:o};return _?_(d):_=k.texture(d),{maskTexture:_,maskHeight:2048,loA:i[0].slice(0,16),loB:i[0].slice(16,32),loC:i[0].slice(32,48),loD:i[0].slice(48,64),hiA:i[1].slice(0,16),hiB:i[1].slice(16,32),hiC:i[1].slice(32,48),hiD:i[1].slice(48,64)}}(w);for(i=0;i<s;i++){var d=t[i],v=d.dim0.crossfilterDimensionIndex,g=d.dim1.crossfilterDimensionIndex,m=d.canvasX,A=d.canvasY,M=m+d.panelSizeX,S=d.plotGlPixelRatio;if(e||!P[v]||P[v][0]!==m||P[v][1]!==M){P[v]=[m,M];var L=x(r,a,o,i,v,g,m,A,d.panelSizeX,d.panelSizeY,d.dim0.crossfilterDimensionIndex,w?0:T?2:1,f,S);E.clearOnly=n;var C=e?r.lines.blockLineCount:y;p(k,O,E,C,y,L)}}},readPixel:function(t,e){return k.read({x:t,y:e,width:1,height:1,data:c}),c},readPixels:function(t,e,r,n){var i=new Uint8Array(4*r*n);return k.read({x:t,y:e,width:r,height:n,data:i}),i},destroy:function(){for(var e in t.style[\"pointer-events\"]=\"none\",C.destroy(),_&&_.destroy(),L)L[e].destroy()},update:I}}},94397:function(t){\"use strict\";t.exports=function(t,e,r,n){var i,a;for(n||(n=1/0),i=0;i<e.length;i++)(a=e[i]).visible&&(n=Math.min(n,a[r].length));for(n===1/0&&(n=0),t._length=n,i=0;i<e.length;i++)(a=e[i]).visible&&(a._length=n);return n}},17171:function(t,e,r){\"use strict\";var n=r(39898),i=r(71828),a=i.numberFormat,o=r(36652),s=r(89298),l=i.strRotate,u=i.strTranslate,c=r(63893),f=r(91424),h=r(21081),p=r(28984),d=p.keyFun,v=p.repeat,g=p.unwrap,y=r(1602),m=r(25706),x=r(57920),b=r(83398);function _(t,e,r){return i.aggNums(t,null,e,r)}function w(t,e){return k(_(Math.min,t,e),_(Math.max,t,e))}function T(t){var e=t.range;return e?k(e[0],e[1]):w(t.values,t._length)}function k(t,e){return!isNaN(t)&&isFinite(t)||(t=0),!isNaN(e)&&isFinite(e)||(e=0),t===e&&(0===t?(t-=1,e+=1):(t*=.9,e*=1.1)),[t,e]}function A(t,e,r,i,o){var s,l,u=T(r);return i?n.scale.ordinal().domain(i.map((s=a(r.tickformat),l=o,l?function(t,e){var r=l[e];return null==r?s(t):r}:s))).range(i.map((function(r){var n=(r-u[0])/(u[1]-u[0]);return t-e+n*(2*e-t)}))):n.scale.linear().domain(u).range([t-e,e])}function M(t){if(t.tickvals){var e=T(t);return n.scale.ordinal().domain(t.tickvals).range(t.tickvals.map((function(t){return(t-e[0])/(e[1]-e[0])})))}}function S(t){var e=t.map((function(t){return t[0]})),r=t.map((function(t){var e=o(t[1]);return n.rgb(\"rgb(\"+e[0]+\",\"+e[1]+\",\"+e[2]+\")\")})),i=\"rgb\".split(\"\").map((function(t){return n.scale.linear().clamp(!0).domain(e).range(r.map((i=t,function(t){return t[i]})));var i}));return function(t){return i.map((function(e){return e(t)}))}}function E(t){return t.dimensions.some((function(t){return t.brush.filterSpecified}))}function L(t,e,r){var a=g(e),s=a.trace,l=y.convertTypedArray(a.lineColor),u=s.line,c={color:o(s.unselected.line.color),opacity:s.unselected.line.opacity},f=h.extractOpts(u),p=f.reversescale?h.flipScale(a.cscale):a.cscale,d=s.domain,v=s.dimensions,x=t.width,b=s.labelangle,_=s.labelside,w=s.labelfont,k=s.tickfont,A=s.rangefont,M=i.extendDeepNoArrays({},u,{color:l.map(n.scale.linear().domain(T({values:l,range:[f.min,f.max],_length:s._length}))),blockLineCount:m.blockLineCount,canvasOverdrag:m.overdrag*m.canvasPixelRatio}),E=Math.floor(x*(d.x[1]-d.x[0])),L=Math.floor(t.height*(d.y[1]-d.y[0])),C=t.margin||{l:80,r:80,t:100,b:80},P=E,O=L;return{key:r,colCount:v.filter(y.isVisible).length,dimensions:v,tickDistance:m.tickDistance,unitToColor:S(p),lines:M,deselectedLines:c,labelAngle:b,labelSide:_,labelFont:w,tickFont:k,rangeFont:A,layoutWidth:x,layoutHeight:t.height,domain:d,translateX:d.x[0]*x,translateY:t.height-d.y[1]*t.height,pad:C,canvasWidth:P*m.canvasPixelRatio+2*M.canvasOverdrag,canvasHeight:O*m.canvasPixelRatio,width:P,height:O,canvasPixelRatio:m.canvasPixelRatio}}function C(t,e,r){var o=r.width,s=r.height,l=r.dimensions,u=r.canvasPixelRatio,c=function(t){return o*t/Math.max(1,r.colCount-1)},f=m.verticalPadding/s,h=function(t,e){return n.scale.linear().range([e,t-e])}(s,m.verticalPadding),p={key:r.key,xScale:c,model:r,inBrushDrag:!1},d={};return p.dimensions=l.filter(y.isVisible).map((function(o,l){var v=function(t,e){return n.scale.linear().domain(T(t)).range([e,1-e])}(o,f),g=d[o.label];d[o.label]=(g||0)+1;var b=o.label+(g?\"__\"+g:\"\"),_=o.constraintrange,w=_&&_.length;w&&!Array.isArray(_[0])&&(_=[_]);var k=w?_.map((function(t){return t.map(v)})):[[-1/0,1/0]],S=o.values;S.length>o._length&&(S=S.slice(0,o._length));var L,C=o.tickvals;function P(t,e){return{val:t,text:L[e]}}function O(t,e){return t.val-e.val}if(Array.isArray(C)&&C.length){L=o.ticktext,Array.isArray(L)&&L.length?L.length>C.length?L=L.slice(0,C.length):C.length>L.length&&(C=C.slice(0,L.length)):L=C.map(a(o.tickformat));for(var I=1;I<C.length;I++)if(C[I]<C[I-1]){for(var D=C.map(P).sort(O),z=0;z<C.length;z++)C[z]=D[z].val,L[z]=D[z].text;break}}else C=void 0;return S=y.convertTypedArray(S),{key:b,label:o.label,tickFormat:o.tickformat,tickvals:C,ticktext:L,ordinal:y.isOrdinal(o),multiselect:o.multiselect,xIndex:l,crossfilterDimensionIndex:l,visibleIndex:o._index,height:s,values:S,paddedUnitValues:S.map(v),unitTickvals:C&&C.map(v),xScale:c,x:c(l),canvasX:c(l)*u,unitToPaddedPx:h,domainScale:A(s,m.verticalPadding,o,C,L),ordinalScale:M(o),parent:p,model:r,brush:x.makeBrush(t,w,k,(function(){t.linePickActive(!1)}),(function(){var e=p;e.focusLayer&&e.focusLayer.render(e.panels,!0);var r=E(e);!t.contextShown()&&r?(e.contextLayer&&e.contextLayer.render(e.panels,!0),t.contextShown(!0)):t.contextShown()&&!r&&(e.contextLayer&&e.contextLayer.render(e.panels,!0,!0),t.contextShown(!1))}),(function(r){if(p.focusLayer.render(p.panels,!0),p.pickLayer&&p.pickLayer.render(p.panels,!0),t.linePickActive(!0),e&&e.filterChanged){var n=v.invert,a=r.map((function(t){return t.map(n).sort(i.sorterAsc)})).sort((function(t,e){return t[0]-e[0]}));e.filterChanged(p.key,o._index,a)}}))}})),p}function P(t){t.classed(m.cn.axisExtentText,!0).attr(\"text-anchor\",\"middle\").style(\"cursor\",\"default\")}function O(t,e){var r=\"top\"===e?1:-1,n=t*Math.PI/180;return{dir:r,dx:Math.sin(n),dy:Math.cos(n),degrees:t}}function I(t,e,r){for(var n=e.panels||(e.panels=[]),i=t.data(),a=0;a<i.length-1;a++){var o=n[a]||(n[a]={}),s=i[a],l=i[a+1];o.dim0=s,o.dim1=l,o.canvasX=s.canvasX,o.panelSizeX=l.canvasX-s.canvasX,o.panelSizeY=e.model.canvasHeight,o.y=0,o.canvasY=0,o.plotGlPixelRatio=r}}function D(t,e){return s.tickText(t._ax,e,!1).text}function z(t,e){if(t.ordinal)return\"\";var r=t.domainScale.domain(),n=r[e?r.length-1:0];return D(t.model.dimensions[t.visibleIndex],n)}t.exports=function(t,e,r,a){var o=t._context.staticPlot,h=t._fullLayout,p=h._toppaper,_=h._glcontainer,T=t._context.plotGlPixelRatio,A=t._fullLayout.paper_bgcolor;!function(t){for(var e=0;e<t.length;e++)for(var r=0;r<t[e].length;r++)for(var n=t[e][r].trace,i=n.dimensions,a=0;a<i.length;a++){var o=i[a].values,l=i[a]._ax;l&&(l.range?l.range=k(l.range[0],l.range[1]):l.range=w(o,n._length),l.dtick||(l.dtick=.01*(Math.abs(l.range[1]-l.range[0])||1)),l.tickformat=i[a].tickformat,s.calcTicks(l),l.cleanRange())}}(e);var M,S,R=(M=!0,S=!1,{linePickActive:function(t){return arguments.length?M=!!t:M},contextShown:function(t){return arguments.length?S=!!t:S}}),F=e.filter((function(t){return g(t).trace.visible})).map(L.bind(0,r)).map(C.bind(0,R,a));_.each((function(t,e){return i.extendFlat(t,F[e])}));var B=_.selectAll(\".gl-canvas\").each((function(t){t.viewModel=F[0],t.viewModel.plotGlPixelRatio=T,t.viewModel.paperColor=A,t.model=t.viewModel?t.viewModel.model:null})),N=null;B.filter((function(t){return t.pick})).style(\"pointer-events\",o?\"none\":\"auto\").on(\"mousemove\",(function(t){if(R.linePickActive()&&t.lineLayer&&a&&a.hover){var e=n.event,r=this.width,i=this.height,o=n.mouse(this),s=o[0],l=o[1];if(s<0||l<0||s>=r||l>=i)return;var u=t.lineLayer.readPixel(s,i-1-l),c=0!==u[3],f=c?u[2]+256*(u[1]+256*u[0]):null,h={x:s,y:l,clientX:e.clientX,clientY:e.clientY,dataIndex:t.model.key,curveNumber:f};f!==N&&(c?a.hover(h):a.unhover&&a.unhover(h),N=f)}})),B.style(\"opacity\",(function(t){return t.pick?0:1})),p.style(\"background\",\"rgba(255, 255, 255, 0)\");var j=p.selectAll(\".\"+m.cn.parcoords).data(F,d);j.exit().remove(),j.enter().append(\"g\").classed(m.cn.parcoords,!0).style(\"shape-rendering\",\"crispEdges\").style(\"pointer-events\",\"none\"),j.attr(\"transform\",(function(t){return u(t.model.translateX,t.model.translateY)}));var U=j.selectAll(\".\"+m.cn.parcoordsControlView).data(v,d);U.enter().append(\"g\").classed(m.cn.parcoordsControlView,!0),U.attr(\"transform\",(function(t){return u(t.model.pad.l,t.model.pad.t)}));var V=U.selectAll(\".\"+m.cn.yAxis).data((function(t){return 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e=t.model.height/t.model.tickDistance,r=t.domainScale,i=r.domain();n.select(this).call(n.svg.axis().orient(\"left\").tickSize(4).outerTickSize(2).ticks(e,t.tickFormat).tickValues(t.ordinal?i:null).tickFormat((function(e){return y.isOrdinal(t)?e:D(t.model.dimensions[t.visibleIndex],e)})).scale(r)),f.font(q.selectAll(\"text\"),t.model.tickFont)})),q.selectAll(\".domain, .tick>line\").attr(\"fill\",\"none\").attr(\"stroke\",\"black\").attr(\"stroke-opacity\",.25).attr(\"stroke-width\",\"1px\"),q.selectAll(\"text\").style(\"text-shadow\",c.makeTextShadow(A)).style(\"cursor\",\"default\");var G=H.selectAll(\".\"+m.cn.axisHeading).data(v,d);G.enter().append(\"g\").classed(m.cn.axisHeading,!0);var Z=G.selectAll(\".\"+m.cn.axisTitle).data(v,d);Z.enter().append(\"text\").classed(m.cn.axisTitle,!0).attr(\"text-anchor\",\"middle\").style(\"cursor\",\"ew-resize\").style(\"pointer-events\",o?\"none\":\"auto\"),Z.text((function(t){return t.label})).each((function(e){var 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J=Y.selectAll(\".\"+m.cn.axisExtentBottom).data(v,d);J.enter().append(\"g\").classed(m.cn.axisExtentBottom,!0),J.attr(\"transform\",(function(t){return u(0,t.model.height+m.axisExtentOffset)}));var K=J.selectAll(\".\"+m.cn.axisExtentBottomText).data(v,d);K.enter().append(\"text\").classed(m.cn.axisExtentBottomText,!0).attr(\"dy\",\"0.75em\").call(P),K.text((function(t){return z(t,!1)})).each((function(t){f.font(n.select(this),t.model.rangeFont)})),x.ensureAxisBrush(H,A,t)}},21341:function(t,e,r){\"use strict\";var n=r(17171),i=r(79749),a=r(1602).isVisible,o={};function s(t,e,r){var n=e.indexOf(r),i=t.indexOf(n);return-1===i&&(i+=e.length),i}(t.exports=function(t,e){var r=t._fullLayout;if(i(t,[],o)){var l={},u={},c={},f={},h=r._size;e.forEach((function(e,r){var n=e[0].trace;c[r]=n.index;var i=f[r]=n._fullInput.index;l[r]=t.data[i].dimensions,u[r]=t.data[i].dimensions.slice()})),n(t,e,{width:h.w,height:h.h,margin:{t:h.t,r:h.r,b:h.b,l:h.l}},{filterChanged:function(e,n,i){var a=u[e][n],o=i.map((function(t){return t.slice()})),s=\"dimensions[\"+n+\"].constraintrange\",l=r._tracePreGUI[t._fullData[c[e]]._fullInput.uid];if(void 0===l[s]){var h=a.constraintrange;l[s]=h||null}var p=t._fullData[c[e]].dimensions[n];o.length?(1===o.length&&(o=o[0]),a.constraintrange=o,p.constraintrange=o.slice(),o=[o]):(delete a.constraintrange,delete p.constraintrange,o=null);var d={};d[s]=o,t.emit(\"plotly_restyle\",[d,[f[e]]])},hover:function(e){t.emit(\"plotly_hover\",e)},unhover:function(e){t.emit(\"plotly_unhover\",e)},axesMoved:function(e,r){var n=function(t,e){return function(r,n){return s(t,e,r)-s(t,e,n)}}(r,u[e].filter(a));l[e].sort(n),u[e].filter((function(t){return!a(t)})).sort((function(t){return u[e].indexOf(t)})).forEach((function(t){l[e].splice(l[e].indexOf(t),1),l[e].splice(u[e].indexOf(t),0,t)})),t.emit(\"plotly_restyle\",[{dimensions:[l[e]]},[f[e]]])}})}}).reglPrecompiled=o},34e3:function(t,e,r){\"use strict\";var n=r(9012),i=r(27670).Y,a=r(41940),o=r(22399),s=r(5386).fF,l=r(5386).si,u=r(1426).extendFlat,c=r(79952).u,f=a({editType:\"plot\",arrayOk:!0,colorEditType:\"plot\"});t.exports={labels:{valType:\"data_array\",editType:\"calc\"},label0:{valType:\"number\",dflt:0,editType:\"calc\"},dlabel:{valType:\"number\",dflt:1,editType:\"calc\"},values:{valType:\"data_array\",editType:\"calc\"},marker:{colors:{valType:\"data_array\",editType:\"calc\"},line:{color:{valType:\"color\",dflt:o.defaultLine,arrayOk:!0,editType:\"style\"},width:{valType:\"number\",min:0,dflt:0,arrayOk:!0,editType:\"style\"},editType:\"calc\"},pattern:c,editType:\"calc\"},text:{valType:\"data_array\",editType:\"plot\"},hovertext:{valType:\"string\",dflt:\"\",arrayOk:!0,editType:\"style\"},scalegroup:{valType:\"string\",dflt:\"\",editType:\"calc\"},textinfo:{valType:\"flaglist\",flags:[\"label\",\"text\",\"value\",\"percent\"],extras:[\"none\"],editType:\"calc\"},hoverinfo:u({},n.hoverinfo,{flags:[\"label\",\"text\",\"value\",\"percent\",\"name\"]}),hovertemplate:s({},{keys:[\"label\",\"color\",\"value\",\"percent\",\"text\"]}),texttemplate:l({editType:\"plot\"},{keys:[\"label\",\"color\",\"value\",\"percent\",\"text\"]}),textposition:{valType:\"enumerated\",values:[\"inside\",\"outside\",\"auto\",\"none\"],dflt:\"auto\",arrayOk:!0,editType:\"plot\"},textfont:u({},f,{}),insidetextorientation:{valType:\"enumerated\",values:[\"horizontal\",\"radial\",\"tangential\",\"auto\"],dflt:\"auto\",editType:\"plot\"},insidetextfont:u({},f,{}),outsidetextfont:u({},f,{}),automargin:{valType:\"boolean\",dflt:!1,editType:\"plot\"},title:{text:{valType:\"string\",dflt:\"\",editType:\"plot\"},font:u({},f,{}),position:{valType:\"enumerated\",values:[\"top 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n=r(74875);e.name=\"pie\",e.plot=function(t,r,i,a){n.plotBasePlot(e.name,t,r,i,a)},e.clean=function(t,r,i,a){n.cleanBasePlot(e.name,t,r,i,a)}},32354:function(t,e,r){\"use strict\";var n=r(92770),i=r(84267),a=r(7901),o={};function s(t){return function(e,r){return!!e&&!!(e=i(e)).isValid()&&(e=a.addOpacity(e,e.getAlpha()),t[r]||(t[r]=e),e)}}function l(t,e){var r,n=JSON.stringify(t),a=e[n];if(!a){for(a=t.slice(),r=0;r<t.length;r++)a.push(i(t[r]).lighten(20).toHexString());for(r=0;r<t.length;r++)a.push(i(t[r]).darken(20).toHexString());e[n]=a}return a}t.exports={calc:function(t,e){var r,i,a=[],o=t._fullLayout,l=o.hiddenlabels||[],u=e.labels,c=e.marker.colors||[],f=e.values,h=e._length,p=e._hasValues&&h;if(e.dlabel)for(u=new Array(h),r=0;r<h;r++)u[r]=String(e.label0+r*e.dlabel);var d={},v=s(o[\"_\"+e.type+\"colormap\"]),g=0,y=!1;for(r=0;r<h;r++){var m,x,b;if(p){if(m=f[r],!n(m))continue;m=+m}else m=1;void 0!==(x=u[r])&&\"\"!==x||(x=r);var _=d[x=String(x)];void 0===_?(d[x]=a.length,(b=-1!==l.indexOf(x))||(g+=m),a.push({v:m,label:x,color:v(c[r],x),i:r,pts:[r],hidden:b})):(y=!0,(i=a[_]).v+=m,i.pts.push(r),i.hidden||(g+=m),!1===i.color&&c[r]&&(i.color=v(c[r],x)))}return a=a.filter((function(t){return t.v>=0})),(\"funnelarea\"===e.type?y:e.sort)&&a.sort((function(t,e){return e.v-t.v})),a[0]&&(a[0].vTotal=g),a},crossTraceCalc:function(t,e){var r=(e||{}).type;r||(r=\"pie\");var n=t._fullLayout,i=t.calcdata,a=n[r+\"colorway\"],s=n[\"_\"+r+\"colormap\"];n[\"extend\"+r+\"colors\"]&&(a=l(a,o));for(var u=0,c=0;c<i.length;c++){var f=i[c];if(f[0].trace.type===r)for(var h=0;h<f.length;h++){var p=f[h];!1===p.color&&(s[p.label]?p.color=s[p.label]:(s[p.label]=p.color=a[u%a.length],u++))}}},makePullColorFn:s,generateExtendedColors:l}},37434:function(t,e,r){\"use strict\";var n=r(92770),i=r(71828),a=r(34e3),o=r(27670).c,s=r(90769).handleText,l=r(71828).coercePattern;function u(t,e){var r=Array.isArray(t),a=i.isArrayOrTypedArray(e),o=Math.min(r?t.length:1/0,a?e.length:1/0);if(isFinite(o)||(o=0),o&&a){for(var s,l=0;l<o;l++){var u=e[l];if(n(u)&&u>0){s=!0;break}}s||(o=0)}return{hasLabels:r,hasValues:a,len:o}}function c(t,e,r,n,i){n(\"marker.line.width\")&&n(\"marker.line.color\",i?void 0:r.paper_bgcolor);var a=n(\"marker.colors\");l(n,\"marker.pattern\",a),t.marker&&!e.marker.pattern.fgcolor&&(e.marker.pattern.fgcolor=t.marker.colors),e.marker.pattern.bgcolor||(e.marker.pattern.bgcolor=r.paper_bgcolor)}t.exports={handleLabelsAndValues:u,handleMarkerDefaults:c,supplyDefaults:function(t,e,r,n){function l(r,n){return i.coerce(t,e,a,r,n)}var f=u(l(\"labels\"),l(\"values\")),h=f.len;if(e._hasLabels=f.hasLabels,e._hasValues=f.hasValues,!e._hasLabels&&e._hasValues&&(l(\"label0\"),l(\"dlabel\")),h){e._length=h,c(t,e,n,l,!0),l(\"scalegroup\");var p,d=l(\"text\"),v=l(\"texttemplate\");if(v||(p=l(\"textinfo\",Array.isArray(d)?\"text+percent\":\"percent\")),l(\"hovertext\"),l(\"hovertemplate\"),v||p&&\"none\"!==p){var g=l(\"textposition\");s(t,e,n,l,g,{moduleHasSelected:!1,moduleHasUnselected:!1,moduleHasConstrain:!1,moduleHasCliponaxis:!1,moduleHasTextangle:!1,moduleHasInsideanchor:!1}),(Array.isArray(g)||\"auto\"===g||\"outside\"===g)&&l(\"automargin\"),(\"inside\"===g||\"auto\"===g||Array.isArray(g))&&l(\"insidetextorientation\")}o(e,n,l);var y=l(\"hole\");if(l(\"title.text\")){var m=l(\"title.position\",y?\"middle center\":\"top center\");y||\"middle center\"!==m||(e.title.position=\"top center\"),i.coerceFont(l,\"title.font\",n.font)}l(\"sort\"),l(\"direction\"),l(\"rotation\"),l(\"pull\")}else e.visible=!1}}},20007:function(t,e,r){\"use strict\";var n=r(23469).appendArrayMultiPointValues;t.exports=function(t,e){var r={curveNumber:e.index,pointNumbers:t.pts,data:e._input,fullData:e,label:t.label,color:t.color,value:t.v,percent:t.percent,text:t.text,bbox:t.bbox,v:t.v};return 1===t.pts.length&&(r.pointNumber=r.i=t.pts[0]),n(r,e,t.pts),\"funnelarea\"===e.type&&(delete r.v,delete r.i),r}},22209:function(t,e,r){\"use strict\";var n=r(91424),i=r(7901);t.exports=function(t,e,r,a){var o=r.marker.pattern;o&&o.shape?n.pointStyle(t,r,a,e):i.fill(t,e.color)}},53581:function(t,e,r){\"use strict\";var n=r(71828);function i(t){return-1!==t.indexOf(\"e\")?t.replace(/[.]?0+e/,\"e\"):-1!==t.indexOf(\".\")?t.replace(/[.]?0+$/,\"\"):t}e.formatPiePercent=function(t,e){var r=i((100*t).toPrecision(3));return n.numSeparate(r,e)+\"%\"},e.formatPieValue=function(t,e){var r=i(t.toPrecision(10));return n.numSeparate(r,e)},e.getFirstFilled=function(t,e){if(Array.isArray(t))for(var r=0;r<e.length;r++){var n=t[e[r]];if(n||0===n||\"\"===n)return n}},e.castOption=function(t,r){return Array.isArray(t)?e.getFirstFilled(t,r):t||void 0},e.getRotationAngle=function(t){return(\"auto\"===t?0:t)*Math.PI/180}},58810:function(t,e,r){\"use strict\";t.exports={attributes:r(34e3),supplyDefaults:r(37434).supplyDefaults,supplyLayoutDefaults:r(92097),layoutAttributes:r(92774),calc:r(32354).calc,crossTraceCalc:r(32354).crossTraceCalc,plot:r(14575).plot,style:r(68357),styleOne:r(63463),moduleType:\"trace\",name:\"pie\",basePlotModule:r(13584),categories:[\"pie-like\",\"pie\",\"showLegend\"],meta:{}}},92774:function(t){\"use strict\";t.exports={hiddenlabels:{valType:\"data_array\",editType:\"calc\"},piecolorway:{valType:\"colorlist\",editType:\"calc\"},extendpiecolors:{valType:\"boolean\",dflt:!0,editType:\"calc\"}}},92097:function(t,e,r){\"use strict\";var n=r(71828),i=r(92774);t.exports=function(t,e){function r(r,a){return n.coerce(t,e,i,r,a)}r(\"hiddenlabels\"),r(\"piecolorway\",e.colorway),r(\"extendpiecolors\")}},14575:function(t,e,r){\"use strict\";var n=r(39898),i=r(74875),a=r(30211),o=r(7901),s=r(91424),l=r(71828),u=l.strScale,c=l.strTranslate,f=r(63893),h=r(72597),p=h.recordMinTextSize,d=h.clearMinTextSize,v=r(97313).TEXTPAD,g=r(53581),y=r(20007),m=r(71828).isValidTextValue;function x(t,e,r){var i=r[0],o=i.cx,s=i.cy,u=i.trace,c=\"funnelarea\"===u.type;\"_hasHoverLabel\"in u||(u._hasHoverLabel=!1),\"_hasHoverEvent\"in u||(u._hasHoverEvent=!1),t.on(\"mouseover\",(function(t){var r=e._fullLayout,f=e._fullData[u.index];if(!e._dragging&&!1!==r.hovermode){var h=f.hoverinfo;if(Array.isArray(h)&&(h=a.castHoverinfo({hoverinfo:[g.castOption(h,t.pts)],_module:u._module},r,0)),\"all\"===h&&(h=\"label+text+value+percent+name\"),f.hovertemplate||\"none\"!==h&&\"skip\"!==h&&h){var p=t.rInscribed||0,d=o+t.pxmid[0]*(1-p),v=s+t.pxmid[1]*(1-p),m=r.separators,x=[];if(h&&-1!==h.indexOf(\"label\")&&x.push(t.label),t.text=g.castOption(f.hovertext||f.text,t.pts),h&&-1!==h.indexOf(\"text\")){var b=t.text;l.isValidTextValue(b)&&x.push(b)}t.value=t.v,t.valueLabel=g.formatPieValue(t.v,m),h&&-1!==h.indexOf(\"value\")&&x.push(t.valueLabel),t.percent=t.v/i.vTotal,t.percentLabel=g.formatPiePercent(t.percent,m),h&&-1!==h.indexOf(\"percent\")&&x.push(t.percentLabel);var _=f.hoverlabel,w=_.font,T=[];a.loneHover({trace:u,x0:d-p*i.r,x1:d+p*i.r,y:v,_x0:c?o+t.TL[0]:d-p*i.r,_x1:c?o+t.TR[0]:d+p*i.r,_y0:c?s+t.TL[1]:v-p*i.r,_y1:c?s+t.BL[1]:v+p*i.r,text:x.join(\"<br>\"),name:f.hovertemplate||-1!==h.indexOf(\"name\")?f.name:void 0,idealAlign:t.pxmid[0]<0?\"left\":\"right\",color:g.castOption(_.bgcolor,t.pts)||t.color,borderColor:g.castOption(_.bordercolor,t.pts),fontFamily:g.castOption(w.family,t.pts),fontSize:g.castOption(w.size,t.pts),fontColor:g.castOption(w.color,t.pts),nameLength:g.castOption(_.namelength,t.pts),textAlign:g.castOption(_.align,t.pts),hovertemplate:g.castOption(f.hovertemplate,t.pts),hovertemplateLabels:t,eventData:[y(t,f)]},{container:r._hoverlayer.node(),outerContainer:r._paper.node(),gd:e,inOut_bbox:T}),t.bbox=T[0],u._hasHoverLabel=!0}u._hasHoverEvent=!0,e.emit(\"plotly_hover\",{points:[y(t,f)],event:n.event})}})),t.on(\"mouseout\",(function(t){var r=e._fullLayout,i=e._fullData[u.index],o=n.select(this).datum();u._hasHoverEvent&&(t.originalEvent=n.event,e.emit(\"plotly_unhover\",{points:[y(o,i)],event:n.event}),u._hasHoverEvent=!1),u._hasHoverLabel&&(a.loneUnhover(r._hoverlayer.node()),u._hasHoverLabel=!1)})),t.on(\"click\",(function(t){var r=e._fullLayout,i=e._fullData[u.index];e._dragging||!1===r.hovermode||(e._hoverdata=[y(t,i)],a.click(e,n.event))}))}function b(t,e,r){var n=g.castOption(t.insidetextfont.color,e.pts);!n&&t._input.textfont&&(n=g.castOption(t._input.textfont.color,e.pts));var i=g.castOption(t.insidetextfont.family,e.pts)||g.castOption(t.textfont.family,e.pts)||r.family,a=g.castOption(t.insidetextfont.size,e.pts)||g.castOption(t.textfont.size,e.pts)||r.size;return{color:n||o.contrast(e.color),family:i,size:a}}function _(t,e){for(var r,n,i=0;i<t.length;i++)if((n=(r=t[i][0]).trace).title.text){var a=n.title.text;n._meta&&(a=l.templateString(a,n._meta));var o=s.tester.append(\"text\").attr(\"data-notex\",1).text(a).call(s.font,n.title.font).call(f.convertToTspans,e),u=s.bBox(o.node(),!0);r.titleBox={width:u.width,height:u.height},o.remove()}}function w(t,e,r){var n=r.r||e.rpx1,i=e.rInscribed;if(e.startangle===e.stopangle)return{rCenter:1-i,scale:0,rotate:0,textPosAngle:0};var a,o=e.ring,s=1===o&&Math.abs(e.startangle-e.stopangle)===2*Math.PI,l=e.halfangle,u=e.midangle,c=r.trace.insidetextorientation,f=\"horizontal\"===c,h=\"tangential\"===c,p=\"radial\"===c,d=\"auto\"===c,v=[];if(!d){var g,y=function(r,i){if(function(t,e){var r=t.startangle,n=t.stopangle;return r>e&&e>n||r<e&&e<n}(e,r)){var s=Math.abs(r-e.startangle),l=Math.abs(r-e.stopangle),u=s<l?s:l;(a=\"tan\"===i?k(t,n,o,u,0):T(t,n,o,u,Math.PI/2)).textPosAngle=r,v.push(a)}};if(f||h){for(g=4;g>=-4;g-=2)y(Math.PI*g,\"tan\");for(g=4;g>=-4;g-=2)y(Math.PI*(g+1),\"tan\")}if(f||p){for(g=4;g>=-4;g-=2)y(Math.PI*(g+1.5),\"rad\");for(g=4;g>=-4;g-=2)y(Math.PI*(g+.5),\"rad\")}}if(s||d||f){var m=Math.sqrt(t.width*t.width+t.height*t.height);if((a={scale:i*n*2/m,rCenter:1-i,rotate:0}).textPosAngle=(e.startangle+e.stopangle)/2,a.scale>=1)return a;v.push(a)}(d||p)&&((a=T(t,n,o,l,u)).textPosAngle=(e.startangle+e.stopangle)/2,v.push(a)),(d||h)&&((a=k(t,n,o,l,u)).textPosAngle=(e.startangle+e.stopangle)/2,v.push(a));for(var x=0,b=0,_=0;_<v.length;_++){var w=v[_].scale;if(b<w&&(b=w,x=_),!d&&b>=1)break}return v[x]}function T(t,e,r,n,i){e=Math.max(0,e-2*v);var a=t.width/t.height,o=S(a,n,e,r);return{scale:2*o/t.height,rCenter:A(a,o/e),rotate:M(i)}}function k(t,e,r,n,i){e=Math.max(0,e-2*v);var a=t.height/t.width,o=S(a,n,e,r);return{scale:2*o/t.width,rCenter:A(a,o/e),rotate:M(i+Math.PI/2)}}function A(t,e){return Math.cos(e)-t*e}function M(t){return(180/Math.PI*t+720)%180-90}function S(t,e,r,n){var i=t+1/(2*Math.tan(e));return r*Math.min(1/(Math.sqrt(i*i+.5)+i),n/(Math.sqrt(t*t+n/2)+t))}function E(t,e){return t.v!==e.vTotal||e.trace.hole?Math.min(1/(1+1/Math.sin(t.halfangle)),t.ring/2):1}function L(t,e){var r=e.pxmid[0],n=e.pxmid[1],i=t.width/2,a=t.height/2;return r<0&&(i*=-1),n<0&&(a*=-1),{scale:1,rCenter:1,rotate:0,x:i+Math.abs(a)*(i>0?1:-1)/2,y:a/(1+r*r/(n*n)),outside:!0}}function C(t,e){var r,n,i,a=t.trace,o={x:t.cx,y:t.cy},s={tx:0,ty:0};s.ty+=a.title.font.size,i=O(a),-1!==a.title.position.indexOf(\"top\")?(o.y-=(1+i)*t.r,s.ty-=t.titleBox.height):-1!==a.title.position.indexOf(\"bottom\")&&(o.y+=(1+i)*t.r);var l,u=t.r/(void 0===(l=t.trace.aspectratio)?1:l),c=e.w*(a.domain.x[1]-a.domain.x[0])/2;return-1!==a.title.position.indexOf(\"left\")?(c+=u,o.x-=(1+i)*u,s.tx+=t.titleBox.width/2):-1!==a.title.position.indexOf(\"center\")?c*=2:-1!==a.title.position.indexOf(\"right\")&&(c+=u,o.x+=(1+i)*u,s.tx-=t.titleBox.width/2),r=c/t.titleBox.width,n=P(t,e)/t.titleBox.height,{x:o.x,y:o.y,scale:Math.min(r,n),tx:s.tx,ty:s.ty}}function P(t,e){var r=t.trace,n=e.h*(r.domain.y[1]-r.domain.y[0]);return Math.min(t.titleBox.height,n/2)}function O(t){var e,r=t.pull;if(!r)return 0;if(Array.isArray(r))for(r=0,e=0;e<t.pull.length;e++)t.pull[e]>r&&(r=t.pull[e]);return r}function I(t,e){for(var r=[],n=0;n<t.length;n++){var i=t[n][0],a=i.trace,o=a.domain,s=e.w*(o.x[1]-o.x[0]),l=e.h*(o.y[1]-o.y[0]);a.title.text&&\"middle center\"!==a.title.position&&(l-=P(i,e));var u=s/2,c=l/2;\"funnelarea\"!==a.type||a.scalegroup||(c/=a.aspectratio),i.r=Math.min(u,c)/(1+O(a)),i.cx=e.l+e.w*(a.domain.x[1]+a.domain.x[0])/2,i.cy=e.t+e.h*(1-a.domain.y[0])-l/2,a.title.text&&-1!==a.title.position.indexOf(\"bottom\")&&(i.cy-=P(i,e)),a.scalegroup&&-1===r.indexOf(a.scalegroup)&&r.push(a.scalegroup)}!function(t,e){for(var r,n,i,a=0;a<e.length;a++){var o=1/0,s=e[a];for(n=0;n<t.length;n++)if((i=(r=t[n][0]).trace).scalegroup===s){var l;if(\"pie\"===i.type)l=r.r*r.r;else if(\"funnelarea\"===i.type){var u,c;i.aspectratio>1?c=(u=r.r)/i.aspectratio:u=(c=r.r)*i.aspectratio,l=(u*=(1+i.baseratio)/2)*c}o=Math.min(o,l/r.vTotal)}for(n=0;n<t.length;n++)if((i=(r=t[n][0]).trace).scalegroup===s){var f=o*r.vTotal;\"funnelarea\"===i.type&&(f/=(1+i.baseratio)/2,f/=i.aspectratio),r.r=Math.sqrt(f)}}}(t,r)}function D(t,e){return[t*Math.sin(e),-t*Math.cos(e)]}function z(t,e,r){var n=t._fullLayout,i=r.trace,a=i.texttemplate,o=i.textinfo;if(!a&&o&&\"none\"!==o){var s,u=o.split(\"+\"),c=function(t){return-1!==u.indexOf(t)},f=c(\"label\"),h=c(\"text\"),p=c(\"value\"),d=c(\"percent\"),v=n.separators;if(s=f?[e.label]:[],h){var y=g.getFirstFilled(i.text,e.pts);m(y)&&s.push(y)}p&&s.push(g.formatPieValue(e.v,v)),d&&s.push(g.formatPiePercent(e.v/r.vTotal,v)),e.text=s.join(\"<br>\")}if(a){var x=l.castOption(i,e.i,\"texttemplate\");if(x){var b=function(t){return{label:t.label,value:t.v,valueLabel:g.formatPieValue(t.v,n.separators),percent:t.v/r.vTotal,percentLabel:g.formatPiePercent(t.v/r.vTotal,n.separators),color:t.color,text:t.text,customdata:l.castOption(i,t.i,\"customdata\")}}(e),_=g.getFirstFilled(i.text,e.pts);(m(_)||\"\"===_)&&(b.text=_),e.text=l.texttemplateString(x,b,t._fullLayout._d3locale,b,i._meta||{})}else e.text=\"\"}}function R(t,e){var r=t.rotate*Math.PI/180,n=Math.cos(r),i=Math.sin(r),a=(e.left+e.right)/2,o=(e.top+e.bottom)/2;t.textX=a*n-o*i,t.textY=a*i+o*n,t.noCenter=!0}t.exports={plot:function(t,e){var r=t._context.staticPlot,a=t._fullLayout,h=a._size;d(\"pie\",a),_(e,t),I(e,h);var v=l.makeTraceGroups(a._pielayer,e,\"trace\").each((function(e){var d=n.select(this),v=e[0],y=v.trace;!function(t){var e,r,n,i=t[0],a=i.r,o=i.trace,s=g.getRotationAngle(o.rotation),l=2*Math.PI/i.vTotal,u=\"px0\",c=\"px1\";if(\"counterclockwise\"===o.direction){for(e=0;e<t.length&&t[e].hidden;e++);if(e===t.length)return;s+=l*t[e].v,l*=-1,u=\"px1\",c=\"px0\"}for(n=D(a,s),e=0;e<t.length;e++)(r=t[e]).hidden||(r[u]=n,r.startangle=s,s+=l*r.v/2,r.pxmid=D(a,s),r.midangle=s,n=D(a,s+=l*r.v/2),r.stopangle=s,r[c]=n,r.largeArc=r.v>i.vTotal/2?1:0,r.halfangle=Math.PI*Math.min(r.v/i.vTotal,.5),r.ring=1-o.hole,r.rInscribed=E(r,i))}(e),d.attr(\"stroke-linejoin\",\"round\"),d.each((function(){var m=n.select(this).selectAll(\"g.slice\").data(e);m.enter().append(\"g\").classed(\"slice\",!0),m.exit().remove();var _=[[[],[]],[[],[]]],T=!1;m.each((function(i,o){if(i.hidden)n.select(this).selectAll(\"path,g\").remove();else{i.pointNumber=i.i,i.curveNumber=y.index,_[i.pxmid[1]<0?0:1][i.pxmid[0]<0?0:1].push(i);var u=v.cx,c=v.cy,h=n.select(this),d=h.selectAll(\"path.surface\").data([i]);if(d.enter().append(\"path\").classed(\"surface\",!0).style({\"pointer-events\":r?\"none\":\"all\"}),h.call(x,t,e),y.pull){var m=+g.castOption(y.pull,i.pts)||0;m>0&&(u+=m*i.pxmid[0],c+=m*i.pxmid[1])}i.cxFinal=u,i.cyFinal=c;var k=y.hole;if(i.v===v.vTotal){var A=\"M\"+(u+i.px0[0])+\",\"+(c+i.px0[1])+P(i.px0,i.pxmid,!0,1)+P(i.pxmid,i.px0,!0,1)+\"Z\";k?d.attr(\"d\",\"M\"+(u+k*i.px0[0])+\",\"+(c+k*i.px0[1])+P(i.px0,i.pxmid,!1,k)+P(i.pxmid,i.px0,!1,k)+\"Z\"+A):d.attr(\"d\",A)}else{var M=P(i.px0,i.px1,!0,1);if(k){var S=1-k;d.attr(\"d\",\"M\"+(u+k*i.px1[0])+\",\"+(c+k*i.px1[1])+P(i.px1,i.px0,!1,k)+\"l\"+S*i.px0[0]+\",\"+S*i.px0[1]+M+\"Z\")}else d.attr(\"d\",\"M\"+u+\",\"+c+\"l\"+i.px0[0]+\",\"+i.px0[1]+M+\"Z\")}z(t,i,v);var E=g.castOption(y.textposition,i.pts),C=h.selectAll(\"g.slicetext\").data(i.text&&\"none\"!==E?[0]:[]);C.enter().append(\"g\").classed(\"slicetext\",!0),C.exit().remove(),C.each((function(){var r=l.ensureSingle(n.select(this),\"text\",\"\",(function(t){t.attr(\"data-notex\",1)})),h=l.ensureUniformFontSize(t,\"outside\"===E?function(t,e,r){return{color:g.castOption(t.outsidetextfont.color,e.pts)||g.castOption(t.textfont.color,e.pts)||r.color,family:g.castOption(t.outsidetextfont.family,e.pts)||g.castOption(t.textfont.family,e.pts)||r.family,size:g.castOption(t.outsidetextfont.size,e.pts)||g.castOption(t.textfont.size,e.pts)||r.size}}(y,i,a.font):b(y,i,a.font));r.text(i.text).attr({class:\"slicetext\",transform:\"\",\"text-anchor\":\"middle\"}).call(s.font,h).call(f.convertToTspans,t);var d,m=s.bBox(r.node());if(\"outside\"===E)d=L(m,i);else if(d=w(m,i,v),\"auto\"===E&&d.scale<1){var x=l.ensureUniformFontSize(t,y.outsidetextfont);r.call(s.font,x),d=L(m=s.bBox(r.node()),i)}var _=d.textPosAngle,k=void 0===_?i.pxmid:D(v.r,_);if(d.targetX=u+k[0]*d.rCenter+(d.x||0),d.targetY=c+k[1]*d.rCenter+(d.y||0),R(d,m),d.outside){var A=d.targetY;i.yLabelMin=A-m.height/2,i.yLabelMid=A,i.yLabelMax=A+m.height/2,i.labelExtraX=0,i.labelExtraY=0,T=!0}d.fontSize=h.size,p(y.type,d,a),e[o].transform=d,l.setTransormAndDisplay(r,d)}))}function P(t,e,r,n){var a=n*(e[0]-t[0]),o=n*(e[1]-t[1]);return\"a\"+n*v.r+\",\"+n*v.r+\" 0 \"+i.largeArc+(r?\" 1 \":\" 0 \")+a+\",\"+o}}));var k=n.select(this).selectAll(\"g.titletext\").data(y.title.text?[0]:[]);if(k.enter().append(\"g\").classed(\"titletext\",!0),k.exit().remove(),k.each((function(){var e,r=l.ensureSingle(n.select(this),\"text\",\"\",(function(t){t.attr(\"data-notex\",1)})),i=y.title.text;y._meta&&(i=l.templateString(i,y._meta)),r.text(i).attr({class:\"titletext\",transform:\"\",\"text-anchor\":\"middle\"}).call(s.font,y.title.font).call(f.convertToTspans,t),e=\"middle center\"===y.title.position?function(t){var 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t.link.label===i})).style(\"fill-opacity\",(function(t){return t.tinyColorAlpha})),r&&h(e,t).selectAll(u.sankeyNode).filter(g(t)).call(m)}function _(t,e){var r=t.hoverlabel||{},n=i.nestedProperty(r,e).get();return!Array.isArray(n)&&n}t.exports=function(t,e){for(var r=t._fullLayout,i=r._paper,h=r._size,v=0;v<t._fullData.length;v++)if(t._fullData[v].visible&&t._fullData[v].type===u.sankey&&!t._fullData[v]._viewInitial){var g=t._fullData[v].node;t._fullData[v]._viewInitial={node:{groups:g.groups.slice(),x:g.x.slice(),y:g.y.slice()}}}var w=c(t,\"source:\")+\" \",T=c(t,\"target:\")+\" \",k=c(t,\"concentration:\")+\" \",A=c(t,\"incoming flow count:\")+\" \",M=c(t,\"outgoing flow count:\")+\" \";o(t,i,e,{width:h.w,height:h.h,margin:{t:h.t,r:h.r,b:h.b,l:h.l}},{linkEvents:{hover:function(e,r,i){!1!==t._fullLayout.hovermode&&(n.select(e).call(x.bind(0,r,i,!0)),\"skip\"!==r.link.trace.link.hoverinfo&&(r.link.fullData=r.link.trace,t.emit(\"plotly_hover\",{event:n.event,points:[r.link]})))},follow:function(e,i){if(!1!==t._fullLayout.hovermode){var o=i.link.trace.link;if(\"none\"!==o.hoverinfo&&\"skip\"!==o.hoverinfo){for(var u=[],c=0,h=0;h<i.flow.links.length;h++){var v=i.flow.links[h];if(\"closest\"!==t._fullLayout.hovermode||i.link.pointNumber===v.pointNumber){i.link.pointNumber===v.pointNumber&&(c=h),v.fullData=v.trace,o=i.link.trace.link;var g=m(v),y={valueLabel:a(i.valueFormat)(v.value)+i.valueSuffix};u.push({x:g[0],y:g[1],name:y.valueLabel,text:[v.label||\"\",w+v.source.label,T+v.target.label,v.concentrationscale?k+a(\"%0.2f\")(v.flow.labelConcentration):\"\"].filter(f).join(\"<br>\"),color:_(o,\"bgcolor\")||l.addOpacity(v.color,1),borderColor:_(o,\"bordercolor\"),fontFamily:_(o,\"font.family\"),fontSize:_(o,\"font.size\"),fontColor:_(o,\"font.color\"),nameLength:_(o,\"namelength\"),textAlign:_(o,\"align\"),idealAlign:n.event.x<g[0]?\"right\":\"left\",hovertemplate:o.hovertemplate,hovertemplateLabels:y,eventData:[v]})}}s.loneHover(u,{container:r._hoverlayer.node(),outerContainer:r._paper.node(),gd:t,anchorIndex:c}).each((function(){i.link.concentrationscale||p(this,.65),d(this)}))}}function m(t){var e,r;t.circular?(e=(t.circularPathData.leftInnerExtent+t.circularPathData.rightInnerExtent)/2,r=t.circularPathData.verticalFullExtent):(e=(t.source.x1+t.target.x0)/2,r=(t.y0+t.y1)/2);var n=[e,r];return\"v\"===t.trace.orientation&&n.reverse(),n[0]+=i.parent.translateX,n[1]+=i.parent.translateY,n}},unhover:function(e,i,a){!1!==t._fullLayout.hovermode&&(n.select(e).call(b.bind(0,i,a,!0)),\"skip\"!==i.link.trace.link.hoverinfo&&(i.link.fullData=i.link.trace,t.emit(\"plotly_unhover\",{event:n.event,points:[i.link]})),s.loneUnhover(r._hoverlayer.node()))},select:function(e,r){var i=r.link;i.originalEvent=n.event,t._hoverdata=[i],s.click(t,{target:!0})}},nodeEvents:{hover:function(e,r,i){!1!==t._fullLayout.hovermode&&(n.select(e).call(y,r,i),\"skip\"!==r.node.trace.node.hoverinfo&&(r.node.fullData=r.node.trace,t.emit(\"plotly_hover\",{event:n.event,points:[r.node]})))},follow:function(e,i){if(!1!==t._fullLayout.hovermode){var o=i.node.trace.node;if(\"none\"!==o.hoverinfo&&\"skip\"!==o.hoverinfo){var l=n.select(e).select(\".\"+u.nodeRect),c=t._fullLayout._paperdiv.node().getBoundingClientRect(),h=l.node().getBoundingClientRect(),v=h.left-2-c.left,g=h.right+2-c.left,y=h.top+h.height/4-c.top,m={valueLabel:a(i.valueFormat)(i.node.value)+i.valueSuffix};i.node.fullData=i.node.trace,t._fullLayout._calcInverseTransform(t);var x=t._fullLayout._invScaleX,b=t._fullLayout._invScaleY,w=s.loneHover({x0:x*v,x1:x*g,y:b*y,name:a(i.valueFormat)(i.node.value)+i.valueSuffix,text:[i.node.label,A+i.node.targetLinks.length,M+i.node.sourceLinks.length].filter(f).join(\"<br>\"),color:_(o,\"bgcolor\")||i.tinyColorHue,borderColor:_(o,\"bordercolor\"),fontFamily:_(o,\"font.family\"),fontSize:_(o,\"font.size\"),fontColor:_(o,\"font.color\"),nameLength:_(o,\"namelength\"),textAlign:_(o,\"align\"),idealAlign:\"left\",hovertemplate:o.hovertemplate,hovertemplateLabels:m,eventData:[i.node]},{container:r._hoverlayer.node(),outerContainer:r._paper.node(),gd:t});p(w,.85),d(w)}}},unhover:function(e,i,a){!1!==t._fullLayout.hovermode&&(n.select(e).call(m,i,a),\"skip\"!==i.node.trace.node.hoverinfo&&(i.node.fullData=i.node.trace,t.emit(\"plotly_unhover\",{event:n.event,points:[i.node]})),s.loneUnhover(r._hoverlayer.node()))},select:function(e,r,i){var a=r.node;a.originalEvent=n.event,t._hoverdata=[a],n.select(e).call(m,r,i),s.click(t,{target:!0})}}})}},3393:function(t,e,r){\"use strict\";var n=r(49887),i=r(81684).k4,a=r(39898),o=r(30838),s=r(86781),l=r(85247),u=r(84267),c=r(7901),f=r(91424),h=r(71828),p=h.strTranslate,d=h.strRotate,v=r(28984),g=v.keyFun,y=v.repeat,m=v.unwrap,x=r(63893),b=r(73972),_=r(18783),w=_.CAP_SHIFT,T=_.LINE_SPACING;function k(t,e,r){var n,i=m(e),a=i.trace,c=a.domain,f=\"h\"===a.orientation,p=a.node.pad,d=a.node.thickness,v=t.width*(c.x[1]-c.x[0]),g=t.height*(c.y[1]-c.y[0]),y=i._nodes,x=i._links,b=i.circular;(n=b?s.sankeyCircular().circularLinkGap(0):o.sankey()).iterations(l.sankeyIterations).size(f?[v,g]:[g,v]).nodeWidth(d).nodePadding(p).nodeId((function(t){return t.pointNumber})).nodes(y).links(x);var _,w,T,k=n();for(var A in n.nodePadding()<p&&h.warn(\"node.pad was reduced to \",n.nodePadding(),\" to fit within the figure.\"),i._groupLookup){var M,S=parseInt(i._groupLookup[A]);for(_=0;_<k.nodes.length;_++)if(k.nodes[_].pointNumber===S){M=k.nodes[_];break}if(M){var E={pointNumber:parseInt(A),x0:M.x0,x1:M.x1,y0:M.y0,y1:M.y1,partOfGroup:!0,sourceLinks:[],targetLinks:[]};k.nodes.unshift(E),M.childrenNodes.unshift(E)}}if(function(){for(_=0;_<k.nodes.length;_++){var t,e,r=k.nodes[_],n={};for(w=0;w<r.targetLinks.length;w++)t=(e=r.targetLinks[w]).source.pointNumber+\":\"+e.target.pointNumber,n.hasOwnProperty(t)||(n[t]=[]),n[t].push(e);var i=Object.keys(n);for(w=0;w<i.length;w++){var a=n[t=i[w]],o=0,s={};for(T=0;T<a.length;T++)s[(e=a[T]).label]||(s[e.label]=0),s[e.label]+=e.value,o+=e.value;for(T=0;T<a.length;T++)(e=a[T]).flow={value:o,labelConcentration:s[e.label]/o,concentration:e.value/o,links:a},e.concentrationscale&&(e.color=u(e.concentrationscale(e.flow.labelConcentration)))}var l=0;for(w=0;w<r.sourceLinks.length;w++)l+=r.sourceLinks[w].value;for(w=0;w<r.sourceLinks.length;w++)(e=r.sourceLinks[w]).concentrationOut=e.value/l;var c=0;for(w=0;w<r.targetLinks.length;w++)c+=r.targetLinks[w].value;for(w=0;w<r.targetLinks.length;w++)(e=r.targetLinks[w]).concenrationIn=e.value/c}}(),a.node.x.length&&a.node.y.length){for(_=0;_<Math.min(a.node.x.length,a.node.y.length,k.nodes.length);_++)if(a.node.x[_]&&a.node.y[_]){var L=[a.node.x[_]*v,a.node.y[_]*g];k.nodes[_].x0=L[0]-d/2,k.nodes[_].x1=L[0]+d/2;var C=k.nodes[_].y1-k.nodes[_].y0;k.nodes[_].y0=L[1]-C/2,k.nodes[_].y1=L[1]+C/2}\"snap\"===a.arrangement&&function(t){var e,r,n=t.map((function(t,e){return{x0:t.x0,index:e}})).sort((function(t,e){return t.x0-e.x0})),i=[],a=-1,o=-1/0;for(_=0;_<n.length;_++){var s=t[n[_].index];s.x0>o+d&&(a+=1,e=s.x0),o=s.x0,i[a]||(i[a]=[]),i[a].push(s),r=e-s.x0,s.x0+=r,s.x1+=r}return i}(y=k.nodes).forEach((function(t){var e,r,n,i=0,a=t.length;for(t.sort((function(t,e){return t.y0-e.y0})),n=0;n<a;++n)(e=t[n]).y0>=i||(r=i-e.y0)>1e-6&&(e.y0+=r,e.y1+=r),i=e.y1+p})),n.update(k)}return{circular:b,key:r,trace:a,guid:h.randstr(),horizontal:f,width:v,height:g,nodePad:a.node.pad,nodeLineColor:a.node.line.color,nodeLineWidth:a.node.line.width,linkLineColor:a.link.line.color,linkLineWidth:a.link.line.width,linkArrowLength:a.link.arrowlen,valueFormat:a.valueformat,valueSuffix:a.valuesuffix,textFont:a.textfont,translateX:c.x[0]*t.width+t.margin.l,translateY:t.height-c.y[1]*t.height+t.margin.t,dragParallel:f?g:v,dragPerpendicular:f?v:g,arrangement:a.arrangement,sankey:n,graph:k,forceLayouts:{},interactionState:{dragInProgress:!1,hovered:!1}}}function A(t,e,r){var n=u(e.color),i=e.source.label+\"|\"+e.target.label+\"__\"+r;return e.trace=t.trace,e.curveNumber=t.trace.index,{circular:t.circular,key:i,traceId:t.key,pointNumber:e.pointNumber,link:e,tinyColorHue:c.tinyRGB(n),tinyColorAlpha:n.getAlpha(),linkPath:M,linkLineColor:t.linkLineColor,linkLineWidth:t.linkLineWidth,linkArrowLength:t.linkArrowLength,valueFormat:t.valueFormat,valueSuffix:t.valueSuffix,sankey:t.sankey,parent:t,interactionState:t.interactionState,flow:e.flow}}function M(){return function(t){var e=t.linkArrowLength;if(t.link.circular)return function(t,e){var r=t.width/2,n=t.circularPathData;return\"top\"===t.circularLinkType?\"M \"+(n.targetX-e)+\" \"+(n.targetY+r)+\" L\"+(n.rightInnerExtent-e)+\" \"+(n.targetY+r)+\"A\"+(n.rightLargeArcRadius+r)+\" \"+(n.rightSmallArcRadius+r)+\" 0 0 1 \"+(n.rightFullExtent-r-e)+\" \"+(n.targetY-n.rightSmallArcRadius)+\"L\"+(n.rightFullExtent-r-e)+\" \"+n.verticalRightInnerExtent+\"A\"+(n.rightLargeArcRadius+r)+\" \"+(n.rightLargeArcRadius+r)+\" 0 0 1 \"+(n.rightInnerExtent-e)+\" \"+(n.verticalFullExtent-r)+\"L\"+n.leftInnerExtent+\" \"+(n.verticalFullExtent-r)+\"A\"+(n.leftLargeArcRadius+r)+\" \"+(n.leftLargeArcRadius+r)+\" 0 0 1 \"+(n.leftFullExtent+r)+\" \"+n.verticalLeftInnerExtent+\"L\"+(n.leftFullExtent+r)+\" \"+(n.sourceY-n.leftSmallArcRadius)+\"A\"+(n.leftLargeArcRadius+r)+\" \"+(n.leftSmallArcRadius+r)+\" 0 0 1 \"+n.leftInnerExtent+\" \"+(n.sourceY+r)+\"L\"+n.sourceX+\" \"+(n.sourceY+r)+\"L\"+n.sourceX+\" \"+(n.sourceY-r)+\"L\"+n.leftInnerExtent+\" \"+(n.sourceY-r)+\"A\"+(n.leftLargeArcRadius-r)+\" \"+(n.leftSmallArcRadius-r)+\" 0 0 0 \"+(n.leftFullExtent-r)+\" \"+(n.sourceY-n.leftSmallArcRadius)+\"L\"+(n.leftFullExtent-r)+\" \"+n.verticalLeftInnerExtent+\"A\"+(n.leftLargeArcRadius-r)+\" \"+(n.leftLargeArcRadius-r)+\" 0 0 0 \"+n.leftInnerExtent+\" \"+(n.verticalFullExtent+r)+\"L\"+(n.rightInnerExtent-e)+\" \"+(n.verticalFullExtent+r)+\"A\"+(n.rightLargeArcRadius-r)+\" \"+(n.rightLargeArcRadius-r)+\" 0 0 0 \"+(n.rightFullExtent+r-e)+\" \"+n.verticalRightInnerExtent+\"L\"+(n.rightFullExtent+r-e)+\" \"+(n.targetY-n.rightSmallArcRadius)+\"A\"+(n.rightLargeArcRadius-r)+\" \"+(n.rightSmallArcRadius-r)+\" 0 0 0 \"+(n.rightInnerExtent-e)+\" \"+(n.targetY-r)+\"L\"+(n.targetX-e)+\" \"+(n.targetY-r)+(e>0?\"L\"+n.targetX+\" \"+n.targetY:\"\")+\"Z\":\"M \"+(n.targetX-e)+\" \"+(n.targetY-r)+\" L\"+(n.rightInnerExtent-e)+\" \"+(n.targetY-r)+\"A\"+(n.rightLargeArcRadius+r)+\" \"+(n.rightSmallArcRadius+r)+\" 0 0 0 \"+(n.rightFullExtent-r-e)+\" \"+(n.targetY+n.rightSmallArcRadius)+\"L\"+(n.rightFullExtent-r-e)+\" \"+n.verticalRightInnerExtent+\"A\"+(n.rightLargeArcRadius+r)+\" \"+(n.rightLargeArcRadius+r)+\" 0 0 0 \"+(n.rightInnerExtent-e)+\" \"+(n.verticalFullExtent+r)+\"L\"+n.leftInnerExtent+\" \"+(n.verticalFullExtent+r)+\"A\"+(n.leftLargeArcRadius+r)+\" \"+(n.leftLargeArcRadius+r)+\" 0 0 0 \"+(n.leftFullExtent+r)+\" \"+n.verticalLeftInnerExtent+\"L\"+(n.leftFullExtent+r)+\" \"+(n.sourceY+n.leftSmallArcRadius)+\"A\"+(n.leftLargeArcRadius+r)+\" \"+(n.leftSmallArcRadius+r)+\" 0 0 0 \"+n.leftInnerExtent+\" \"+(n.sourceY-r)+\"L\"+n.sourceX+\" \"+(n.sourceY-r)+\"L\"+n.sourceX+\" \"+(n.sourceY+r)+\"L\"+n.leftInnerExtent+\" \"+(n.sourceY+r)+\"A\"+(n.leftLargeArcRadius-r)+\" \"+(n.leftSmallArcRadius-r)+\" 0 0 1 \"+(n.leftFullExtent-r)+\" \"+(n.sourceY+n.leftSmallArcRadius)+\"L\"+(n.leftFullExtent-r)+\" \"+n.verticalLeftInnerExtent+\"A\"+(n.leftLargeArcRadius-r)+\" \"+(n.leftLargeArcRadius-r)+\" 0 0 1 \"+n.leftInnerExtent+\" \"+(n.verticalFullExtent-r)+\"L\"+(n.rightInnerExtent-e)+\" \"+(n.verticalFullExtent-r)+\"A\"+(n.rightLargeArcRadius-r)+\" \"+(n.rightLargeArcRadius-r)+\" 0 0 1 \"+(n.rightFullExtent+r-e)+\" \"+n.verticalRightInnerExtent+\"L\"+(n.rightFullExtent+r-e)+\" \"+(n.targetY+n.rightSmallArcRadius)+\"A\"+(n.rightLargeArcRadius-r)+\" \"+(n.rightSmallArcRadius-r)+\" 0 0 1 \"+(n.rightInnerExtent-e)+\" \"+(n.targetY+r)+\"L\"+(n.targetX-e)+\" \"+(n.targetY+r)+(e>0?\"L\"+n.targetX+\" \"+n.targetY:\"\")+\"Z\"}(t.link,e);var r=Math.abs((t.link.target.x0-t.link.source.x1)/2);e>r&&(e=r);var n=t.link.source.x1,a=t.link.target.x0-e,o=i(n,a),s=o(.5),l=o(.5),u=t.link.y0-t.link.width/2,c=t.link.y0+t.link.width/2,f=t.link.y1-t.link.width/2,h=t.link.y1+t.link.width/2,p=\"M\"+n+\",\"+u,d=\"C\"+s+\",\"+u+\" \"+l+\",\"+f+\" \"+a+\",\"+f,v=\"C\"+l+\",\"+h+\" \"+s+\",\"+c+\" \"+n+\",\"+c,g=e>0?\"L\"+(a+e)+\",\"+(f+t.link.width/2):\"\";return p+d+(g+=\"L\"+a+\",\"+h)+v+\"Z\"}}function S(t,e){var r=u(e.color),n=l.nodePadAcross,i=t.nodePad/2;e.dx=e.x1-e.x0,e.dy=e.y1-e.y0;var a=e.dx,o=Math.max(.5,e.dy),s=\"node_\"+e.pointNumber;return e.group&&(s=h.randstr()),e.trace=t.trace,e.curveNumber=t.trace.index,{index:e.pointNumber,key:s,partOfGroup:e.partOfGroup||!1,group:e.group,traceId:t.key,trace:t.trace,node:e,nodePad:t.nodePad,nodeLineColor:t.nodeLineColor,nodeLineWidth:t.nodeLineWidth,textFont:t.textFont,size:t.horizontal?t.height:t.width,visibleWidth:Math.ceil(a),visibleHeight:o,zoneX:-n,zoneY:-i,zoneWidth:a+2*n,zoneHeight:o+2*i,labelY:t.horizontal?e.dy/2+1:e.dx/2+1,left:1===e.originalLayer,sizeAcross:t.width,forceLayouts:t.forceLayouts,horizontal:t.horizontal,darkBackground:r.getBrightness()<=128,tinyColorHue:c.tinyRGB(r),tinyColorAlpha:r.getAlpha(),valueFormat:t.valueFormat,valueSuffix:t.valueSuffix,sankey:t.sankey,graph:t.graph,arrangement:t.arrangement,uniqueNodeLabelPathId:[t.guid,t.key,s].join(\"_\"),interactionState:t.interactionState,figure:t}}function E(t){t.attr(\"transform\",(function(t){return p(t.node.x0.toFixed(3),t.node.y0.toFixed(3))}))}function L(t){t.call(E)}function 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b=u<2||i[0]!==i[u-1]||o[0]!==o[u-1];b&&(\"tozerox\"===y||\"tonextx\"===y&&(p||\"h\"===d))?m.tozero=!0:(e.error_y||{}).visible||\"tonexty\"!==y&&\"tozeroy\"!==y&&(l.hasMarkers(e)||l.hasText(e))||(m.padded=!1,m.ppad=0),b&&(\"tozeroy\"===y||\"tonexty\"===y&&(p||\"v\"===d))?x.tozero=!0:\"tonextx\"!==y&&\"tozerox\"!==y||(x.padded=!1),f&&(e._extremes[f]=a.findExtremes(r,i,m)),h&&(e._extremes[h]=a.findExtremes(n,o,x))}function p(t,e){if(l.hasMarkers(t)){var r,n=t.marker,o=1.6*(t.marker.sizeref||1);if(r=\"area\"===t.marker.sizemode?function(t){return Math.max(Math.sqrt((t||0)/o),3)}:function(t){return Math.max((t||0)/o,3)},i.isArrayOrTypedArray(n.size)){var s={type:\"linear\"};a.setConvert(s);for(var u=s.makeCalcdata(t.marker,\"size\"),c=new Array(e),f=0;f<e;f++)c[f]=r(u[f]);return c}return r(n.size)}}function d(t,e){var r=v(e),n=t._firstScatter;n[r]||(n[r]=e.uid)}function v(t){var e=t.stackgroup;return t.xaxis+t.yaxis+t.type+(e?\"-\"+e:\"\")}function g(t,e,r,n){var i=t.stackgroup;if(i){var 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n=r(52075).hasColorscale,i=r(78803),a=r(34098);t.exports=function(t,e){a.hasLines(e)&&n(e,\"line\")&&i(t,e,{vals:e.line.color,containerStr:\"line\",cLetter:\"c\"}),a.hasMarkers(e)&&(n(e,\"marker\")&&i(t,e,{vals:e.marker.color,containerStr:\"marker\",cLetter:\"c\"}),n(e,\"marker.line\")&&i(t,e,{vals:e.marker.line.color,containerStr:\"marker.line\",cLetter:\"c\"}))}},47581:function(t){\"use strict\";t.exports={PTS_LINESONLY:20,minTolerance:.2,toleranceGrowth:10,maxScreensAway:20,eventDataKeys:[]}},72626:function(t,e,r){\"use strict\";var n=r(47761),i=r(11661).setGroupPositions;function a(t,e,r,n,i,a,o){i[n]=!0;var s={i:null,gap:!0,s:0};if(s[o]=r,t.splice(e,0,s),e&&r===t[e-1][o]){var l=t[e-1];s.s=l.s,s.i=l.i,s.gap=l.gap}else a&&(s.s=function(t,e,r,n){var i=t[e-1],a=t[e+1];return a?i?i.s+(a.s-i.s)*(r-i[n])/(a[n]-i[n]):a.s:i.s}(t,e,r,o));e||(t[0].t=t[1].t,t[0].trace=t[1].trace,delete t[1].t,delete 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n=r(82196),i=r(9012),a=r(5386).fF,o=r(5386).si,s=r(50693),l=r(1426).extendFlat,u=n.marker,c=n.line,f=u.line;t.exports={carpet:{valType:\"string\",editType:\"calc\"},a:{valType:\"data_array\",editType:\"calc\"},b:{valType:\"data_array\",editType:\"calc\"},mode:l({},n.mode,{dflt:\"markers\"}),text:l({},n.text,{}),texttemplate:o({editType:\"plot\"},{keys:[\"a\",\"b\",\"text\"]}),hovertext:l({},n.hovertext,{}),line:{color:c.color,width:c.width,dash:c.dash,backoff:c.backoff,shape:l({},c.shape,{values:[\"linear\",\"spline\"]}),smoothing:c.smoothing,editType:\"calc\"},connectgaps:n.connectgaps,fill:l({},n.fill,{values:[\"none\",\"toself\",\"tonext\"],dflt:\"none\"}),fillcolor:n.fillcolor,marker:l({symbol:u.symbol,opacity:u.opacity,maxdisplayed:u.maxdisplayed,angle:u.angle,angleref:u.angleref,standoff:u.standoff,size:u.size,sizeref:u.sizeref,sizemin:u.sizemin,sizemode:u.sizemode,line:l({width:f.width,editType:\"calc\"},s(\"marker.line\")),gradient:u.gradient,editType:\"calc\"},s(\"marker\")),textfont:n.textfont,textposition:n.textposition,selected:n.selected,unselected:n.unselected,hoverinfo:l({},i.hoverinfo,{flags:[\"a\",\"b\",\"text\",\"name\"]}),hoveron:n.hoveron,hovertemplate:a()}},34618:function(t,e,r){\"use 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r,n,i=e._length,o=e.marker,l={},u=s.isArrayOrTypedArray(o.symbol),f=s.isArrayOrTypedArray(o.angle),d=s.isArrayOrTypedArray(o.color),v=s.isArrayOrTypedArray(o.line.color),g=s.isArrayOrTypedArray(o.opacity),y=s.isArrayOrTypedArray(o.size),m=s.isArrayOrTypedArray(o.line.width);if(u||(n=p.isOpenSymbol(o.symbol)),u||d||v||g||f){l.symbols=new Array(i),l.angles=new Array(i),l.colors=new Array(i),l.borderColors=new Array(i);var x=o.symbol,b=o.angle,_=c(o,o.opacity,i),w=c(o.line,o.opacity,i);if(!Array.isArray(w[0])){var T=w;for(w=Array(i),r=0;r<i;r++)w[r]=T}if(!Array.isArray(_[0])){var k=_;for(_=Array(i),r=0;r<i;r++)_[r]=k}if(!Array.isArray(x)){var A=x;for(x=Array(i),r=0;r<i;r++)x[r]=A}if(!Array.isArray(b)){var M=b;for(b=Array(i),r=0;r<i;r++)b[r]=M}for(l.symbols=x,l.angles=b,l.colors=_,l.borderColors=w,r=0;r<i;r++)u&&(n=p.isOpenSymbol(o.symbol[r])),n&&(w[r]=_[r].slice(),_[r]=_[r].slice(),_[r][3]=0);for(l.opacity=e.opacity,l.markers=new Array(i),r=0;r<i;r++)l.markers[r]=E({mx:l.symbols[r],ma:l.angles[r]},e)}else n?(l.color=a(o.color,\"uint8\"),l.color[3]=0,l.borderColor=a(o.color,\"uint8\")):(l.color=a(o.color,\"uint8\"),l.borderColor=a(o.line.color,\"uint8\")),l.opacity=e.opacity*o.opacity,l.marker=E({mx:o.symbol,ma:o.angle},e);var S,L=h(e,1);if(y||m){var C,P=l.sizes=new Array(i),O=l.borderSizes=new Array(i),I=0;if(y){for(r=0;r<i;r++)P[r]=L(o.size[r]),I+=P[r];C=I/i}else for(S=L(o.size),r=0;r<i;r++)P[r]=S;if(m)for(r=0;r<i;r++)O[r]=o.line.width[r];else for(S=o.line.width,r=0;r<i;r++)O[r]=S;l.sizeAvg=C}else l.size=L(o&&o.size||10),l.borderSizes=L(o.line.width);return l}function b(t,e,r){var n=e.marker,i={};return r?(r.marker&&r.marker.symbol?i=x(0,s.extendFlat({},n,r.marker)):r.marker&&(r.marker.size&&(i.size=r.marker.size),r.marker.color&&(i.colors=r.marker.color),void 0!==r.marker.opacity&&(i.opacity=r.marker.opacity)),i):i}function _(t,e,r){var n={};if(!r)return n;if(r.textfont){var i={opacity:1,text:e.text,texttemplate:e.texttemplate,textposition:e.textposition,textfont:s.extendFlat({},e.textfont)};r.textfont&&s.extendFlat(i.textfont,r.textfont),n=m(t,i)}return n}function w(t,e,r){var n={capSize:2*e.width*r,lineWidth:e.thickness*r,color:e.color};return e.copy_ystyle&&(n=t.error_y),n}var T=d.SYMBOL_SDF_SIZE,k=d.SYMBOL_SIZE,A=d.SYMBOL_STROKE,M={},S=l.symbolFuncs[0](.05*k);function E(t,e){var r,n,a=t.mx;if(\"circle\"===a)return null;var o=l.symbolNumber(a),s=l.symbolFuncs[o%100],u=!!l.symbolNoDot[o%100],c=!!l.symbolNoFill[o%100],f=p.isDotSymbol(a);if(t.ma&&(a+=\"_\"+t.ma),M[a])return M[a];var h=l.getMarkerAngle(t,e);return r=f&&!u?s(1.1*k,h)+S:s(k,h),n=i(r,{w:T,h:T,viewBox:[-k,-k,k,k],stroke:c?A:-A}),M[a]=n,n||null}t.exports={style:function(t,e){var r,n={marker:void 0,markerSel:void 0,markerUnsel:void 0,line:void 0,fill:void 0,errorX:void 0,errorY:void 0,text:void 0,textSel:void 0,textUnsel:void 0},i=t._context.plotGlPixelRatio;if(!0!==e.visible)return n;if(f.hasText(e)&&(n.text=m(t,e),n.textSel=_(t,e,e.selected),n.textUnsel=_(t,e,e.unselected)),f.hasMarkers(e)&&(n.marker=x(0,e),n.markerSel=b(0,e,e.selected),n.markerUnsel=b(0,e,e.unselected),!e.unselected&&s.isArrayOrTypedArray(e.marker.opacity))){var a=e.marker.opacity;for(n.markerUnsel.opacity=new Array(a.length),r=0;r<a.length;r++)n.markerUnsel.opacity[r]=v*a[r]}if(f.hasLines(e)){n.line={overlay:!0,thickness:e.line.width*i,color:e.line.color,opacity:e.opacity};var o=(d.DASHES[e.line.dash]||[1]).slice();for(r=0;r<o.length;++r)o[r]*=e.line.width*i;n.line.dashes=o}return e.error_x&&e.error_x.visible&&(n.errorX=w(e,e.error_x,i)),e.error_y&&e.error_y.visible&&(n.errorY=w(e,e.error_y,i)),e.fill&&\"none\"!==e.fill&&(n.fill={closed:!0,fill:e.fillcolor,thickness:0}),n},markerStyle:x,markerSelection:b,linePositions:function(t,e,r){var n,i,a=r.length,o=a/2;if(f.hasLines(e)&&o)if(\"hv\"===e.line.shape){for(n=[],i=0;i<o-1;i++)isNaN(r[2*i])||isNaN(r[2*i+1])?n.push(NaN,NaN,NaN,NaN):(n.push(r[2*i],r[2*i+1]),isNaN(r[2*i+2])||isNaN(r[2*i+3])?n.push(NaN,NaN):n.push(r[2*i+2],r[2*i+1]));n.push(r[a-2],r[a-1])}else if(\"hvh\"===e.line.shape){for(n=[],i=0;i<o-1;i++)if(isNaN(r[2*i])||isNaN(r[2*i+1])||isNaN(r[2*i+2])||isNaN(r[2*i+3]))isNaN(r[2*i])||isNaN(r[2*i+1])?n.push(NaN,NaN):n.push(r[2*i],r[2*i+1]),n.push(NaN,NaN);else{var s=(r[2*i]+r[2*i+2])/2;n.push(r[2*i],r[2*i+1],s,r[2*i+1],s,r[2*i+3])}n.push(r[a-2],r[a-1])}else if(\"vhv\"===e.line.shape){for(n=[],i=0;i<o-1;i++)if(isNaN(r[2*i])||isNaN(r[2*i+1])||isNaN(r[2*i+2])||isNaN(r[2*i+3]))isNaN(r[2*i])||isNaN(r[2*i+1])?n.push(NaN,NaN):n.push(r[2*i],r[2*i+1]),n.push(NaN,NaN);else{var l=(r[2*i+1]+r[2*i+3])/2;n.push(r[2*i],r[2*i+1],r[2*i],l,r[2*i+2],l)}n.push(r[a-2],r[a-1])}else if(\"vh\"===e.line.shape){for(n=[],i=0;i<o-1;i++)isNaN(r[2*i])||isNaN(r[2*i+1])?n.push(NaN,NaN,NaN,NaN):(n.push(r[2*i],r[2*i+1]),isNaN(r[2*i+2])||isNaN(r[2*i+3])?n.push(NaN,NaN):n.push(r[2*i],r[2*i+3]));n.push(r[a-2],r[a-1])}else n=r;var u=!1;for(i=0;i<n.length;i++)if(isNaN(n[i])){u=!0;break}var c=u||n.length>d.TOO_MANY_POINTS||f.hasMarkers(e)?\"rect\":\"round\";if(u&&e.connectgaps){var h=n[0],p=n[1];for(i=0;i<n.length;i+=2)isNaN(n[i])||isNaN(n[i+1])?(n[i]=h,n[i+1]=p):(h=n[i],p=n[i+1])}return{join:c,positions:n}},errorBarPositions:function(t,e,r,i,a){var s=o.getComponentMethod(\"errorbars\",\"makeComputeError\"),l=u.getFromId(t,e.xaxis,\"x\"),c=u.getFromId(t,e.yaxis,\"y\"),f=r.length/2,h={};function p(t,i){var a=i._id.charAt(0),o=e[\"error_\"+a];if(o&&o.visible&&(\"linear\"===i.type||\"log\"===i.type)){for(var l=s(o),u={x:0,y:1}[a],c={x:[0,1,2,3],y:[2,3,0,1]}[a],p=new Float64Array(4*f),d=1/0,v=-1/0,g=0,y=0;g<f;g++,y+=4){var m=t[g];if(n(m)){var x=r[2*g+u],b=l(m,g),_=b[0],w=b[1];if(n(_)&&n(w)){var T=m-_,k=m+w;p[y+c[0]]=x-i.c2l(T),p[y+c[1]]=i.c2l(k)-x,p[y+c[2]]=0,p[y+c[3]]=0,d=Math.min(d,m-_),v=Math.max(v,m+w)}}}h[a]={positions:r,errors:p,_bnds:[d,v]}}}return p(i,l),p(a,c),h},textPosition:function(t,e,r,n){var i,a=e._length,o={};if(f.hasMarkers(e)){var s=r.font,l=r.align,u=r.baseline;for(o.offset=new Array(a),i=0;i<a;i++){var c=n.sizes?n.sizes[i]:n.size,h=Array.isArray(s)?s[i].size:s.size,p=Array.isArray(l)?l.length>1?l[i]:l[0]:l,d=Array.isArray(u)?u.length>1?u[i]:u[0]:u,v=g[p],y=g[d],m=c?c/.8+1:0,x=-y*m-.5*y;o.offset[i]=[v*m/h,x/h]}}return o}}},47148:function(t,e,r){\"use strict\";var n=r(71828),i=r(73972),a=r(68645),o=r(42341),s=r(47581),l=r(34098),u=r(67513),c=r(73927),f=r(49508),h=r(11058),p=r(28908),d=r(82410);t.exports=function(t,e,r,v){function g(r,i){return n.coerce(t,e,o,r,i)}var y=!!t.marker&&a.isOpenSymbol(t.marker.symbol),m=l.isBubble(t),x=u(t,e,v,g);if(x){c(t,e,v,g),g(\"xhoverformat\"),g(\"yhoverformat\");var b=x<s.PTS_LINESONLY?\"lines+markers\":\"lines\";g(\"text\"),g(\"hovertext\"),g(\"hovertemplate\"),g(\"mode\",b),l.hasLines(e)&&(g(\"connectgaps\"),h(t,e,r,v,g),g(\"line.shape\")),l.hasMarkers(e)&&(f(t,e,r,v,g,{noAngleRef:!0,noStandOff:!0}),g(\"marker.line.width\",y||m?1:0)),l.hasText(e)&&(g(\"texttemplate\"),d(t,e,v,g));var _=(e.line||{}).color,w=(e.marker||{}).color;g(\"fill\"),\"none\"!==e.fill&&p(t,e,r,g);var T=i.getComponentMethod(\"errorbars\",\"supplyDefaults\");T(t,e,_||w||r,{axis:\"y\"}),T(t,e,_||w||r,{axis:\"x\",inherit:\"y\"}),n.coerceSelectionMarkerOpacity(e,g)}else e.visible=!1}},5345:function(t,e,r){\"use strict\";var n=r(71828),i=r(7901),a=r(37822).DESELECTDIM;t.exports={styleTextSelection:function(t){var e,r,o=t[0],s=o.trace,l=o.t,u=l._scene,c=l.index,f=u.selectBatch[c],h=u.unselectBatch[c],p=u.textOptions[c],d=u.textSelectedOptions[c]||{},v=u.textUnselectedOptions[c]||{},g=n.extendFlat({},p);if(f.length||h.length){var y=d.color,m=v.color,x=p.color,b=Array.isArray(x);for(g.color=new Array(s._length),e=0;e<f.length;e++)r=f[e],g.color[r]=y||(b?x[r]:x);for(e=0;e<h.length;e++){r=h[e];var _=b?x[r]:x;g.color[r]=m||(y?_:i.addOpacity(_,a))}}u.glText[c].update(g)}}},68101:function(t,e,r){\"use strict\";var n=r(8225);t.exports=function(t,e,r){var i=t.i;return\"x\"in t||(t.x=e._x[i]),\"y\"in t||(t.y=e._y[i]),n(t,e,r)}},68645:function(t,e,r){\"use strict\";var n=r(78232);e.isOpenSymbol=function(t){return\"string\"==typeof t?n.OPEN_RE.test(t):t%200>100},e.isDotSymbol=function(t){return\"string\"==typeof t?n.DOT_RE.test(t):t>200}},20794:function(t,e,r){\"use strict\";var n=r(73972),i=r(71828),a=r(34603);function o(t,e,r,o){var s=t.xa,l=t.ya,u=t.distance,c=t.dxy,f=t.index,h={pointNumber:f,x:e[f],y:r[f]};h.tx=Array.isArray(o.text)?o.text[f]:o.text,h.htx=Array.isArray(o.hovertext)?o.hovertext[f]:o.hovertext,h.data=Array.isArray(o.customdata)?o.customdata[f]:o.customdata,h.tp=Array.isArray(o.textposition)?o.textposition[f]:o.textposition;var p=o.textfont;p&&(h.ts=i.isArrayOrTypedArray(p.size)?p.size[f]:p.size,h.tc=Array.isArray(p.color)?p.color[f]:p.color,h.tf=Array.isArray(p.family)?p.family[f]:p.family);var d=o.marker;d&&(h.ms=i.isArrayOrTypedArray(d.size)?d.size[f]:d.size,h.mo=i.isArrayOrTypedArray(d.opacity)?d.opacity[f]:d.opacity,h.mx=i.isArrayOrTypedArray(d.symbol)?d.symbol[f]:d.symbol,h.ma=i.isArrayOrTypedArray(d.angle)?d.angle[f]:d.angle,h.mc=i.isArrayOrTypedArray(d.color)?d.color[f]:d.color);var v=d&&d.line;v&&(h.mlc=Array.isArray(v.color)?v.color[f]:v.color,h.mlw=i.isArrayOrTypedArray(v.width)?v.width[f]:v.width);var g=d&&d.gradient;g&&\"none\"!==g.type&&(h.mgt=Array.isArray(g.type)?g.type[f]:g.type,h.mgc=Array.isArray(g.color)?g.color[f]:g.color);var y=s.c2p(h.x,!0),m=l.c2p(h.y,!0),x=h.mrc||1,b=o.hoverlabel;b&&(h.hbg=Array.isArray(b.bgcolor)?b.bgcolor[f]:b.bgcolor,h.hbc=Array.isArray(b.bordercolor)?b.bordercolor[f]:b.bordercolor,h.hts=i.isArrayOrTypedArray(b.font.size)?b.font.size[f]:b.font.size,h.htc=Array.isArray(b.font.color)?b.font.color[f]:b.font.color,h.htf=Array.isArray(b.font.family)?b.font.family[f]:b.font.family,h.hnl=i.isArrayOrTypedArray(b.namelength)?b.namelength[f]:b.namelength);var _=o.hoverinfo;_&&(h.hi=Array.isArray(_)?_[f]:_);var w=o.hovertemplate;w&&(h.ht=Array.isArray(w)?w[f]:w);var T={};T[t.index]=h;var k=o._origX,A=o._origY,M=i.extendFlat({},t,{color:a(o,h),x0:y-x,x1:y+x,xLabelVal:k?k[f]:h.x,y0:m-x,y1:m+x,yLabelVal:A?A[f]:h.y,cd:T,distance:u,spikeDistance:c,hovertemplate:h.ht});return h.htx?M.text=h.htx:h.tx?M.text=h.tx:o.text&&(M.text=o.text),i.fillText(h,o,M),n.getComponentMethod(\"errorbars\",\"hoverInfo\")(h,o,M),M}t.exports={hoverPoints:function(t,e,r,n){var i,a,s,l,u,c,f,h,p,d,v=t.cd,g=v[0].t,y=v[0].trace,m=t.xa,x=t.ya,b=g.x,_=g.y,w=m.c2p(e),T=x.c2p(r),k=t.distance;if(g.tree){var A=m.p2c(w-k),M=m.p2c(w+k),S=x.p2c(T-k),E=x.p2c(T+k);i=\"x\"===n?g.tree.range(Math.min(A,M),Math.min(x._rl[0],x._rl[1]),Math.max(A,M),Math.max(x._rl[0],x._rl[1])):g.tree.range(Math.min(A,M),Math.min(S,E),Math.max(A,M),Math.max(S,E))}else i=g.ids;var L=k;if(\"x\"===n){var C=!!y.xperiodalignment,P=!!y.yperiodalignment;for(c=0;c<i.length;c++){if(l=b[a=i[c]],f=Math.abs(m.c2p(l)-w),C){var O=m.c2p(y._xStarts[a]),I=m.c2p(y._xEnds[a]);f=w>=Math.min(O,I)&&w<=Math.max(O,I)?0:1/0}if(f<L){if(L=f,u=_[a],h=x.c2p(u)-T,P){var D=x.c2p(y._yStarts[a]),z=x.c2p(y._yEnds[a]);h=T>=Math.min(D,z)&&T<=Math.max(D,z)?0:1/0}d=Math.sqrt(f*f+h*h),s=i[c]}}}else for(c=i.length-1;c>-1;c--)l=b[a=i[c]],u=_[a],f=m.c2p(l)-w,h=x.c2p(u)-T,(p=Math.sqrt(f*f+h*h))<L&&(L=d=p,s=a);return t.index=s,t.distance=L,t.dxy=d,void 0===s?[t]:[o(t,b,_,y)]},calcHover:o}},68868:function(t,e,r){\"use strict\";var n=r(72156);n.plot=r(26787),t.exports=n},26787:function(t,e,r){\"use strict\";var n=r(11870),i=r(46075),a=r(3593),o=r(42505),s=r(71828),l=r(64505).selectMode,u=r(79749),c=r(34098),f=r(68687),h=r(5345).styleTextSelection,p={};function d(t,e,r,n){var i=t._size,a=t.width*n,o=t.height*n,s=i.l*n,l=i.b*n,u=i.r*n,c=i.t*n,f=i.w*n,h=i.h*n;return[s+e.domain[0]*f,l+r.domain[0]*h,a-u-(1-e.domain[1])*f,o-c-(1-r.domain[1])*h]}(t.exports=function(t,e,r){if(r.length){var v,g,y=t._fullLayout,m=e._scene,x=e.xaxis,b=e.yaxis;if(m)if(u(t,[\"ANGLE_instanced_arrays\",\"OES_element_index_uint\"],p)){var 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n=r(5386).fF,i=r(5386).si,a=r(19316),o=r(82196),s=r(23585),l=r(9012),u=r(50693),c=r(1426).extendFlat,f=r(30962).overrideAll,h=r(23585),p=a.line,d=a.marker;t.exports=f({lon:a.lon,lat:a.lat,cluster:{enabled:{valType:\"boolean\"},maxzoom:c({},h.layers.maxzoom,{}),step:{valType:\"number\",arrayOk:!0,dflt:-1,min:-1},size:{valType:\"number\",arrayOk:!0,dflt:20,min:0},color:{valType:\"color\",arrayOk:!0},opacity:c({},d.opacity,{dflt:1})},mode:c({},o.mode,{dflt:\"markers\"}),text:c({},o.text,{}),texttemplate:i({editType:\"plot\"},{keys:[\"lat\",\"lon\",\"text\"]}),hovertext:c({},o.hovertext,{}),line:{color:p.color,width:p.width},connectgaps:o.connectgaps,marker:c({symbol:{valType:\"string\",dflt:\"circle\",arrayOk:!0},angle:{valType:\"number\",dflt:\"auto\",arrayOk:!0},allowoverlap:{valType:\"boolean\",dflt:!1},opacity:d.opacity,size:d.size,sizeref:d.sizeref,sizemin:d.sizemin,sizemode:d.sizemode},u(\"marker\")),fill:a.fill,fillcolor:o.fillcolor,textfont:s.layers.symbol.textfont,textposition:s.layers.symbol.textposition,below:{valType:\"string\"},selected:{marker:o.selected.marker},unselected:{marker:o.unselected.marker},hoverinfo:c({},l.hoverinfo,{flags:[\"lon\",\"lat\",\"text\",\"name\"]}),hovertemplate:n()},\"calc\",\"nested\")},15790:function(t,e,r){\"use 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r,a=e[0].trace,b=!0===a.visible&&0!==a._length,_=\"none\"!==a.fill,w=c.hasLines(a),T=c.hasMarkers(a),k=c.hasText(a),A=T&&\"circle\"===a.marker.symbol,M=T&&\"circle\"!==a.marker.symbol,S=a.cluster&&a.cluster.enabled,E=v(\"fill\"),L=v(\"line\"),C=v(\"circle\"),P=v(\"symbol\"),O={fill:E,line:L,circle:C,symbol:P};if(!b)return O;if((_||w)&&(r=o.calcTraceToLineCoords(e)),_&&(E.geojson=o.makePolygon(r),E.layout.visibility=\"visible\",i.extendFlat(E.paint,{\"fill-color\":a.fillcolor})),w&&(L.geojson=o.makeLine(r),L.layout.visibility=\"visible\",i.extendFlat(L.paint,{\"line-width\":a.line.width,\"line-color\":a.line.color,\"line-opacity\":a.opacity})),A){var I=function(t){var e,r,a,o,c=t[0].trace,f=c.marker,h=c.selectedpoints,p=i.isArrayOrTypedArray(f.color),d=i.isArrayOrTypedArray(f.size),v=i.isArrayOrTypedArray(f.opacity);function g(t){return c.opacity*t}p&&(r=s.hasColorscale(c,\"marker\")?s.makeColorScaleFuncFromTrace(f):i.identity),d&&(a=u(c)),v&&(o=function(t){return 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a.marker&&\"auto\"!==a.marker.angle&&i.extendFlat(P.layout,{\"icon-rotate\":{type:\"identity\",property:\"angle\"},\"icon-rotation-alignment\":\"map\"}),P.layout[\"icon-allow-overlap\"]=a.marker.allowoverlap,i.extendFlat(P.paint,{\"icon-opacity\":a.opacity*a.marker.opacity,\"icon-color\":a.marker.color})),k)){var D=(a.marker||{}).size,z=f(a.textposition,D);i.extendFlat(P.layout,{\"text-size\":a.textfont.size,\"text-anchor\":z.anchor,\"text-offset\":z.offset,\"text-font\":a.textfont.family.split(\", \")}),i.extendFlat(P.paint,{\"text-color\":a.textfont.color,\"text-opacity\":a.opacity})}return O}},76645:function(t,e,r){\"use strict\";var n=r(71828),i=r(34098),a=r(49508),o=r(11058),s=r(82410),l=r(28908),u=r(99181),c=[\"Metropolis Black Italic\",\"Metropolis Black\",\"Metropolis Bold Italic\",\"Metropolis Bold\",\"Metropolis Extra Bold Italic\",\"Metropolis Extra Bold\",\"Metropolis Extra Light Italic\",\"Metropolis Extra Light\",\"Metropolis Light Italic\",\"Metropolis Light\",\"Metropolis Medium Italic\",\"Metropolis Medium\",\"Metropolis Regular Italic\",\"Metropolis Regular\",\"Metropolis Semi Bold Italic\",\"Metropolis Semi Bold\",\"Metropolis Thin Italic\",\"Metropolis Thin\",\"Open Sans Bold Italic\",\"Open Sans Bold\",\"Open Sans Extra Bold Italic\",\"Open Sans Extra Bold\",\"Open Sans Italic\",\"Open Sans Light Italic\",\"Open Sans Light\",\"Open Sans Regular\",\"Open Sans Semibold Italic\",\"Open Sans Semibold\",\"Klokantech Noto Sans Bold\",\"Klokantech Noto Sans CJK Bold\",\"Klokantech Noto Sans CJK Regular\",\"Klokantech Noto Sans Italic\",\"Klokantech Noto Sans Regular\"];t.exports=function(t,e,r,f){function h(r,i){return n.coerce(t,e,u,r,i)}function p(r,i){return n.coerce2(t,e,u,r,i)}var d=function(t,e,r){var n=r(\"lon\")||[],i=r(\"lat\")||[],a=Math.min(n.length,i.length);return 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n=r(35948),i=r(20794).calcHover;t.exports={hoverPoints:function(t,e,r){var a=t.cd[0].trace,o=t.scene.matrixOptions.cdata,s=t.xa,l=t.ya,u=s.c2p(e),c=l.c2p(r),f=t.distance,h=n.getDimIndex(a,s),p=n.getDimIndex(a,l);if(!1===h||!1===p)return[t];for(var d,v,g=o[h],y=o[p],m=f,x=0;x<g.length;x++){var b=g[x],_=y[x],w=s.c2p(b)-u,T=l.c2p(_)-c,k=Math.sqrt(w*w+T*T);k<m&&(m=v=k,d=x)}return t.index=d,t.distance=m,t.dxy=v,void 0===d?[t]:[i(t,g,y,a)]}}},6419:function(t,e,r){\"use strict\";var n=r(65017);n.basePlotModule=r(16947),t.exports=n},79410:function(t,e,r){\"use strict\";var n=r(60487),i=r(71828),a=r(41675),o=r(64505).selectMode;function s(t,e){var r,s,l,u,c,f=t._fullLayout,h=f._size,p=e.trace,d=e.t,v=f._splomScenes[p.uid],g=v.matrixOptions,y=g.cdata,m=f._glcanvas.data()[0].regl,x=f.dragmode;if(0!==y.length){g.lower=p.showupperhalf,g.upper=p.showlowerhalf,g.diagonal=p.diagonal.visible;var b=p._visibleDims,_=y.length,w=v.viewOpts={};for(w.ranges=new Array(_),w.domains=new 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B=i.extendFlat({},g,v.unselectedOptions,w),N=i.extendFlat({},g,v.selectedOptions,w);v.matrix.update(B,N),P=!1}}else d.xpx=d.ypx=null;if(P){var j=i.extendFlat({},g,w);v.matrix.update(j,null)}}}t.exports=function(t,e,r){if(r.length)for(var n=0;n<r.length;n++)s(t,r[n][0])}},10164:function(t,e,r){\"use strict\";var n=r(71828);t.exports=function(t,e){var r=t._fullLayout,i=e.uid,a=r._splomScenes;a||(a=r._splomScenes={});var o={dirty:!0,selectBatch:[],unselectBatch:[]},s=a[e.uid];return s||((s=a[i]=n.extendFlat({},o,{matrix:!1,selectBatch:[],unselectBatch:[]})).draw=function(){s.matrix&&s.matrix.draw&&(s.selectBatch.length||s.unselectBatch.length?s.matrix.draw(s.unselectBatch,s.selectBatch):s.matrix.draw()),s.dirty=!1},s.destroy=function(){s.matrix&&s.matrix.destroy&&s.matrix.destroy(),s.matrixOptions=null,s.selectBatch=null,s.unselectBatch=null,s=null}),s.dirty||n.extendFlat(s,o),s}},8689:function(t,e,r){\"use strict\";var n=r(71828),i=n.pushUnique,a=r(34098),o=r(35948);t.exports=function(t,e){var r=t.cd,s=r[0].trace,l=r[0].t,u=t.scene,c=u.matrixOptions.cdata,f=t.xaxis,h=t.yaxis,p=[];if(!u)return p;var d=!a.hasMarkers(s)&&!a.hasText(s);if(!0!==s.visible||d)return p;var v=o.getDimIndex(s,f),g=o.getDimIndex(s,h);if(!1===v||!1===g)return p;var y=l.xpx[v],m=l.ypx[g],x=c[v],b=c[g],_=(t.scene.selectBatch||[]).slice(),w=[];if(!1!==e&&!e.degenerate)for(var T=0;T<x.length;T++)e.contains([y[T],m[T]],null,T,t)?(p.push({pointNumber:T,x:x[T],y:b[T]}),i(_,T)):-1!==_.indexOf(T)?i(_,T):w.push(T);var k=u.matrixOptions;return _.length||w.length?u.selectBatch.length||u.unselectBatch.length||u.matrix.update(u.unselectedOptions,n.extendFlat({},k,u.selectedOptions,u.viewOpts)):u.matrix.update(k,null),u.selectBatch=_,u.unselectBatch=w,p}},21850:function(t,e,r){\"use strict\";var n=r(50693),i=r(12663).axisHoverFormat,a=r(5386).fF,o=r(2418),s=r(9012),l=r(1426).extendFlat,u={x:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},y:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},z:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},u:{valType:\"data_array\",editType:\"calc\"},v:{valType:\"data_array\",editType:\"calc\"},w:{valType:\"data_array\",editType:\"calc\"},starts:{x:{valType:\"data_array\",editType:\"calc\"},y:{valType:\"data_array\",editType:\"calc\"},z:{valType:\"data_array\",editType:\"calc\"},editType:\"calc\"},maxdisplayed:{valType:\"integer\",min:0,dflt:1e3,editType:\"calc\"},sizeref:{valType:\"number\",editType:\"calc\",min:0,dflt:1},text:{valType:\"string\",dflt:\"\",editType:\"calc\"},hovertext:{valType:\"string\",dflt:\"\",editType:\"calc\"},hovertemplate:a({editType:\"calc\"},{keys:[\"tubex\",\"tubey\",\"tubez\",\"tubeu\",\"tubev\",\"tubew\",\"norm\",\"divergence\"]}),uhoverformat:i(\"u\",1),vhoverformat:i(\"v\",1),whoverformat:i(\"w\",1),xhoverformat:i(\"x\"),yhoverformat:i(\"y\"),zhoverformat:i(\"z\"),showlegend:l({},s.showlegend,{dflt:!1})};l(u,n(\"\",{colorAttr:\"u/v/w 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L=function(){m=0,M=[],S=[],E=[]};(!m||m<M.length*S.length*E.length)&&L();var C=function(t){return\"x\"===t?v:\"y\"===t?g:y},P=function(t){return\"x\"===t?M:\"y\"===t?S:E},O=function(t){return t[m-1]<t[0]?-1:1},I=C(A[1]),D=C(A[3]),z=C(A[5]),R=P(A[1]).length,F=P(A[3]).length,B=P(A[5]).length,N=!1,j=function(t,e,r){return R*(F*t+e)+r},U=O(C(A[1])),V=O(C(A[3])),H=O(C(A[5]));for(e=0;e<B-1;e++){for(r=0;r<F-1;r++){for(i=0;i<R-1;i++){var q=j(e,r,i),G=j(e,r,i+1),Z=j(e,r+1,i),Y=j(e+1,r,i);if(I[q]*U<I[G]*U&&D[q]*V<D[Z]*V&&z[q]*H<z[Y]*H||(N=!0),N)break}if(N)break}if(N)break}return N&&(n.warn(\"Encountered arbitrary coordinates! 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y=n[c];r.xMax=Math.max(r.xMax,y),r.xMin=Math.min(r.xMin,y);var m=o[c];r.yMax=Math.max(r.yMax,m),r.yMin=Math.min(r.yMin,m);var x=l[c];r.zMax=Math.max(r.zMax,x),r.zMin=Math.min(r.zMin,x)}e._slen=u,e._normMax=f,e._xbnds=[r.xMin,r.xMax],e._ybnds=[r.yMin,r.yMax],e._zbnds=[r.zMin,r.zMax]},filter:s,processGrid:a}},90154:function(t,e,r){\"use strict\";var n=r(9330).gl_streamtube3d,i=n.createTubeMesh,a=r(71828),o=r(81697).parseColorScale,s=r(21081).extractOpts,l=r(90060),u={xaxis:0,yaxis:1,zaxis:2};function c(t,e){this.scene=t,this.uid=e,this.mesh=null,this.data=null}var f=c.prototype;function h(t){var e=t.length;return e>2?t.slice(1,e-1):2===e?[(t[0]+t[1])/2]:t}function p(t){var e=t.length;return 1===e?[.5,.5]:[t[1]-t[0],t[e-1]-t[e-2]]}function d(t,e){var r=t.fullSceneLayout,i=t.dataScale,c=e._len,f={};function d(t,e){var n=r[e],o=i[u[e]];return a.simpleMap(t,(function(t){return 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e.listPath(t,\"label\").join(\"/\")+\"/\"},e.formatValue=o.formatPieValue,e.formatPercent=function(t,e){var r=n.formatPercent(t,0);return\"0%\"===r&&(r=o.formatPiePercent(t,e)),r}},87619:function(t,e,r){\"use strict\";t.exports={moduleType:\"trace\",name:\"sunburst\",basePlotModule:r(66888),categories:[],animatable:!0,attributes:r(57564),layoutAttributes:r(2654),supplyDefaults:r(17094),supplyLayoutDefaults:r(57034),calc:r(52147).calc,crossTraceCalc:r(52147).crossTraceCalc,plot:r(24714).plot,style:r(29969).style,colorbar:r(4898),meta:{}}},2654:function(t){\"use strict\";t.exports={sunburstcolorway:{valType:\"colorlist\",editType:\"calc\"},extendsunburstcolors:{valType:\"boolean\",dflt:!0,editType:\"calc\"}}},57034:function(t,e,r){\"use strict\";var n=r(71828),i=r(2654);t.exports=function(t,e){function r(r,a){return n.coerce(t,e,i,r,a)}r(\"sunburstcolorway\",e.colorway),r(\"extendsunburstcolors\")}},24714:function(t,e,r){\"use strict\";var 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s,l=b.getPtId(t.parent);T.each((function(t){if(b.getPtId(t)===l)return s=t}));var u,c=s.children;c.forEach((function(t,e){if(b.getPtId(t)===r)return u=e}));var f=c.length,h=a(s.x0,s.x1);e={rpx0:I,rpx1:I,x0:h(u/f),x1:h((u+1)/f)}}return a(n,e)}(t);return function(t){return Z(e(t))}})),t.select(\"g.slicetext\").attr(\"opacity\",0)})).remove():T.exit().remove(),T.order();var X=null;if(_&&R){var J=b.getPtId(R);T.each((function(t){null===X&&b.getPtId(t)===J&&(X=t.x1)}))}var K=T;function $(t){var e=t.parent,r=F[b.getPtId(e)],n={};if(r){var i=e.children,o=i.indexOf(t),s=i.length,l=a(r.x0,r.x1);n.x0=l(o/s),n.x1=l(o/s)}else n.x0=n.x1=0;return n}_&&(K=K.transition().each(\"end\",(function(){var e=n.select(this);b.setSliceCursor(e,t,{hideOnRoot:!0,hideOnLeaves:!0,isTransitioning:!1})}))),K.each((function(i){var u=n.select(this),f=s.ensureSingle(u,\"path\",\"surface\",(function(t){t.style(\"pointer-events\",h?\"none\":\"all\")}));i.rpx0=q(i.y0),i.rpx1=q(i.y1),i.xmid=(i.x0+i.x1)/2,i.pxmid=G(i.rpx1,i.xmid),i.midangle=-(i.xmid-Math.PI/2),i.startangle=-(i.x0-Math.PI/2),i.stopangle=-(i.x1-Math.PI/2),i.halfangle=.5*Math.min(s.angleDelta(i.x0,i.x1)||Math.PI,Math.PI),i.ring=1-i.rpx0/i.rpx1,i.rInscribed=function(t){return 0===t.rpx0&&s.isFullCircle([t.x0,t.x1])?1:Math.max(0,Math.min(1/(1+1/Math.sin(t.halfangle)),t.ring/2))}(i),_?f.transition().attrTween(\"d\",(function(t){var e=function(t){var e,r=F[b.getPtId(t)],n={x0:t.x0,x1:t.x1,rpx0:t.rpx0,rpx1:t.rpx1};if(r)e=r;else if(R)if(t.parent)if(X){var i=(t.x1>X?2*Math.PI:0)+V;e={x0:i,x1:i}}else e={rpx0:I,rpx1:I},s.extendFlat(e,$(t));else e={rpx0:0,rpx1:0};else e={x0:V,x1:V};return a(e,n)}(t);return function(t){return Z(e(t))}})):f.attr(\"d\",Z),u.call(m,S,t,r,{eventDataKeys:x.eventDataKeys,transitionTime:x.CLICK_TRANSITION_TIME,transitionEasing:x.CLICK_TRANSITION_EASING}).call(b.setSliceCursor,t,{hideOnRoot:!0,hideOnLeaves:!0,isTransitioning:t._transitioning}),f.call(g,i,A,t);var p=s.ensureSingle(u,\"g\",\"slicetext\"),w=s.ensureSingle(p,\"text\",\"\",(function(t){t.attr(\"data-notex\",1)})),T=s.ensureUniformFontSize(t,b.determineTextFont(A,i,y.font));w.text(e.formatSliceLabel(i,S,A,r,y)).classed(\"slicetext\",!0).attr(\"text-anchor\",\"middle\").call(o.font,T).call(l.convertToTspans,t);var M=o.bBox(w.node());i.transform=v(M,i,k),i.transform.targetX=Y(i),i.transform.targetY=W(i);var E=function(t,e){var r=t.transform;return d(r,e),r.fontSize=T.size,c(A.type,r,y),s.getTextTransform(r)};_?w.transition().attrTween(\"transform\",(function(t){var e=function(t){var e,r=F[b.getPtId(t)],n=t.transform;if(r)e=r;else if(e={rpx1:t.rpx1,transform:{textPosAngle:n.textPosAngle,scale:0,rotate:n.rotate,rCenter:n.rCenter,x:n.x,y:n.y}},R)if(t.parent)if(X){var i=t.x1>X?2*Math.PI:0;e.x0=e.x1=i}else s.extendFlat(e,$(t));else e.x0=e.x1=V;else e.x0=e.x1=V;var o=a(e.transform.textPosAngle,t.transform.textPosAngle),l=a(e.rpx1,t.rpx1),u=a(e.x0,t.x0),f=a(e.x1,t.x1),h=a(e.transform.scale,n.scale),p=a(e.transform.rotate,n.rotate),d=0===n.rCenter?3:0===e.transform.rCenter?1/3:1,v=a(e.transform.rCenter,n.rCenter);return function(t){var e=l(t),r=u(t),i=f(t),a=function(t){return v(Math.pow(t,d))}(t),s={pxmid:G(e,(r+i)/2),rpx1:e,transform:{textPosAngle:o(t),rCenter:a,x:n.x,y:n.y}};return c(A.type,n,y),{transform:{targetX:Y(s),targetY:W(s),scale:h(t),rotate:p(t),rCenter:a}}}}(t);return function(t){return E(e(t),M)}})):w.attr(\"transform\",E(i,M))}))}function w(t){return e=t.rpx1,r=t.transform.textPosAngle,[e*Math.sin(r),-e*Math.cos(r)];var e,r}e.plot=function(t,e,r,i){var a,o,s=t._fullLayout,l=s._sunburstlayer,u=!r,c=!s.uniformtext.mode&&b.hasTransition(r);f(\"sunburst\",s),(a=l.selectAll(\"g.trace.sunburst\").data(e,(function(t){return t[0].trace.uid}))).enter().append(\"g\").classed(\"trace\",!0).classed(\"sunburst\",!0).attr(\"stroke-linejoin\",\"round\"),a.order(),c?(i&&(o=i()),n.transition().duration(r.duration).ease(r.easing).each(\"end\",(function(){o&&o()})).each(\"interrupt\",(function(){o&&o()})).each((function(){l.selectAll(\"g.trace\").each((function(e){_(t,e,this,r)}))}))):(a.each((function(e){_(t,e,this,r)})),s.uniformtext.mode&&y(t,s._sunburstlayer.selectAll(\".trace\"),\"sunburst\")),u&&a.exit().remove()},e.formatSliceLabel=function(t,e,r,n,i){var a=r.texttemplate,o=r.textinfo;if(!(a||o&&\"none\"!==o))return\"\";var l=i.separators,u=n[0],c=t.data.data,f=u.hierarchy,h=b.isHierarchyRoot(t),p=b.getParent(f,t),d=b.getValue(t);if(!a){var v,g=o.split(\"+\"),y=function(t){return-1!==g.indexOf(t)},m=[];if(y(\"label\")&&c.label&&m.push(c.label),c.hasOwnProperty(\"v\")&&y(\"value\")&&m.push(b.formatValue(c.v,l)),!h){y(\"current path\")&&m.push(b.getPath(t.data));var x=0;y(\"percent parent\")&&x++,y(\"percent entry\")&&x++,y(\"percent root\")&&x++;var _=x>1;if(x){var w,T=function(t){v=b.formatPercent(w,l),_&&(v+=\" of \"+t),m.push(v)};y(\"percent parent\")&&!h&&(w=d/b.getValue(p),T(\"parent\")),y(\"percent entry\")&&(w=d/b.getValue(e),T(\"entry\")),y(\"percent root\")&&(w=d/b.getValue(f),T(\"root\"))}}return y(\"text\")&&(v=s.castOption(r,c.i,\"text\"),s.isValidTextValue(v)&&m.push(v)),m.join(\"<br>\")}var k=s.castOption(r,c.i,\"texttemplate\");if(!k)return\"\";var A={};c.label&&(A.label=c.label),c.hasOwnProperty(\"v\")&&(A.value=c.v,A.valueLabel=b.formatValue(c.v,l)),A.currentPath=b.getPath(t.data),h||(A.percentParent=d/b.getValue(p),A.percentParentLabel=b.formatPercent(A.percentParent,l),A.parent=b.getPtLabel(p)),A.percentEntry=d/b.getValue(e),A.percentEntryLabel=b.formatPercent(A.percentEntry,l),A.entry=b.getPtLabel(e),A.percentRoot=d/b.getValue(f),A.percentRootLabel=b.formatPercent(A.percentRoot,l),A.root=b.getPtLabel(f),c.hasOwnProperty(\"color\")&&(A.color=c.color);var M=s.castOption(r,c.i,\"text\");return(s.isValidTextValue(M)||\"\"===M)&&(A.text=M),A.customdata=s.castOption(r,c.i,\"customdata\"),s.texttemplateString(k,A,i._d3locale,A,r._meta||{})}},29969:function(t,e,r){\"use strict\";var n=r(39898),i=r(7901),a=r(71828),o=r(72597).resizeText,s=r(43467);function l(t,e,r,n){var 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f=t.exports=u(l({z:{valType:\"data_array\"},x:{valType:\"data_array\"},y:{valType:\"data_array\"},text:{valType:\"string\",dflt:\"\",arrayOk:!0},hovertext:{valType:\"string\",dflt:\"\",arrayOk:!0},hovertemplate:o(),xhoverformat:a(\"x\"),yhoverformat:a(\"y\"),zhoverformat:a(\"z\"),connectgaps:{valType:\"boolean\",dflt:!1,editType:\"calc\"},surfacecolor:{valType:\"data_array\"}},i(\"\",{colorAttr:\"z or 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n=r(78803);t.exports=function(t,e){e.surfacecolor?n(t,e,{vals:e.surfacecolor,containerStr:\"\",cLetter:\"c\"}):n(t,e,{vals:e.z,containerStr:\"\",cLetter:\"c\"})}},43768:function(t,e,r){\"use strict\";var n=r(9330).gl_surface3d,i=r(9330).ndarray,a=r(9330).ndarray_linear_interpolate.d2,o=r(824),s=r(43907),l=r(71828).isArrayOrTypedArray,u=r(81697).parseColorScale,c=r(78614),f=r(21081).extractOpts;function h(t,e,r){this.scene=t,this.uid=r,this.surface=e,this.data=null,this.showContour=[!1,!1,!1],this.contourStart=[null,null,null],this.contourEnd=[null,null,null],this.contourSize=[0,0,0],this.minValues=[1/0,1/0,1/0],this.maxValues=[-1/0,-1/0,-1/0],this.dataScaleX=1,this.dataScaleY=1,this.refineData=!0,this.objectOffset=[0,0,0]}var p=h.prototype;p.getXat=function(t,e,r,n){var i=l(this.data.x)?l(this.data.x[0])?this.data.x[e][t]:this.data.x[t]:t;return void 0===r?i:n.d2l(i,0,r)},p.getYat=function(t,e,r,n){var i=l(this.data.y)?l(this.data.y[0])?this.data.y[e][t]:this.data.y[e]:e;return void 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A=[!0,!0,!0],M=[\"x\",\"y\",\"z\"];for(e=0;e<3;++e){var S=t.contours[M[e]];A[e]=S.highlight,w.showContour[e]=S.show||S.highlight,w.showContour[e]&&(w.contourProject[e]=[S.project.x,S.project.y,S.project.z],S.show?(this.showContour[e]=!0,w.levels[e]=m[e],p.highlightColor[e]=w.contourColor[e]=c(S.color),S.usecolormap?p.highlightTint[e]=w.contourTint[e]=0:p.highlightTint[e]=w.contourTint[e]=1,w.contourWidth[e]=S.width,this.contourStart[e]=S.start,this.contourEnd[e]=S.end,this.contourSize[e]=S.size):(this.showContour[e]=!1,this.contourStart[e]=null,this.contourEnd[e]=null,this.contourSize[e]=0),S.highlight&&(w.dynamicColor[e]=c(S.highlightcolor),w.dynamicWidth[e]=S.highlightwidth))}(function(t){var e=t[0].rgb,r=t[t.length-1].rgb;return e[0]===r[0]&&e[1]===r[1]&&e[2]===r[2]&&e[3]===r[3]})(d)&&(w.vertexColor=!0),w.objectOffset=this.objectOffset,w.coords=b,p.update(w),p.visible=t.visible,p.enableDynamic=A,p.enableHighlight=A,p.snapToData=!0,\"lighting\"in 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n=r(50215),i=r(1426).extendFlat,a=r(30962).overrideAll,o=r(41940),s=r(27670).Y,l=r(12663).descriptionOnlyNumbers;(t.exports=a({domain:s({name:\"table\",trace:!0}),columnwidth:{valType:\"number\",arrayOk:!0,dflt:null},columnorder:{valType:\"data_array\"},header:{values:{valType:\"data_array\",dflt:[]},format:{valType:\"data_array\",dflt:[],description:l(\"cell value\")},prefix:{valType:\"string\",arrayOk:!0,dflt:null},suffix:{valType:\"string\",arrayOk:!0,dflt:null},height:{valType:\"number\",dflt:28},align:i({},n.align,{arrayOk:!0}),line:{width:{valType:\"number\",arrayOk:!0,dflt:1},color:{valType:\"color\",arrayOk:!0,dflt:\"grey\"}},fill:{color:{valType:\"color\",arrayOk:!0,dflt:\"white\"}},font:i({},o({arrayOk:!0}))},cells:{values:{valType:\"data_array\",dflt:[]},format:{valType:\"data_array\",dflt:[],description:l(\"cell 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L=Math.max(o(e.header.line.width),o(e.cells.line.width)),C={key:e.uid+t._context.staticPlot,translateX:g.x[0]*t._fullLayout._size.w,translateY:t._fullLayout._size.h*(1-g.y[1]),size:t._fullLayout._size,width:y,maxLineWidth:L,height:m,columnOrder:M,groupHeight:m,rowBlocks:k,headerRowBlocks:T,scrollY:0,cells:i({},e.cells,{values:r}),headerCells:i({},e.header,{values:v}),gdColumns:v.map((function(t){return t[0]})),gdColumnsOriginalOrder:v.map((function(t){return t[0]})),prevPages:[0,0],scrollbarState:{scrollbarScrollInProgress:!1},columns:v.map((function(t,e){var r=A[t];return A[t]=(r||0)+1,{key:t+\"__\"+A[t],label:t,specIndex:e,xIndex:M[e],xScale:c,x:void 0,calcdata:void 0,columnWidth:S[e]}}))};return C.columns.forEach((function(t){t.calcdata=C,t.x=c(t)})),C}},56269:function(t,e,r){\"use strict\";var n=r(1426).extendFlat;e.splitToPanels=function(t){var e=[0,0],r=n({},t,{key:\"header\",type:\"header\",page:0,prevPages:e,currentRepaint:[null,null],dragHandle:!0,values:t.calcdata.headerCells.values[t.specIndex],rowBlocks:t.calcdata.headerRowBlocks,calcdata:n({},t.calcdata,{cells:t.calcdata.headerCells})});return[n({},t,{key:\"cells1\",type:\"cells\",page:0,prevPages:e,currentRepaint:[null,null],dragHandle:!1,values:t.calcdata.cells.values[t.specIndex],rowBlocks:t.calcdata.rowBlocks}),n({},t,{key:\"cells2\",type:\"cells\",page:1,prevPages:e,currentRepaint:[null,null],dragHandle:!1,values:t.calcdata.cells.values[t.specIndex],rowBlocks:t.calcdata.rowBlocks}),r]},e.splitToCells=function(t){var e=function(t){var e=t.rowBlocks[t.page],r=e?e.rows[0].rowIndex:0;return[r,e?r+e.rows.length:0]}(t);return(t.values||[]).slice(e[0],e[1]).map((function(r,n){return{keyWithinBlock:n+(\"string\"==typeof r&&r.match(/[<$&> 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a.indexOf(t)})),s=o.length;s<n;s++)o.push(s);e(\"columnorder\",o)}(e,s),s(\"cells.values\"),s(\"cells.format\"),s(\"cells.align\"),s(\"cells.prefix\"),s(\"cells.suffix\"),s(\"cells.height\"),s(\"cells.line.width\"),s(\"cells.line.color\"),s(\"cells.fill.color\"),n.coerceFont(s,\"cells.font\",n.extendFlat({},o.font)),e._length=null}},96595:function(t,e,r){\"use strict\";t.exports={attributes:r(44464),supplyDefaults:r(39754),calc:r(76333),plot:r(36736),moduleType:\"trace\",name:\"table\",basePlotModule:r(99469),categories:[\"noOpacity\"],meta:{}}},36736:function(t,e,r){\"use strict\";var n=r(49850),i=r(39898),a=r(71828).numberFormat,o=r(28984),s=r(91424),l=r(63893),u=r(71828).raiseToTop,c=r(71828).strTranslate,f=r(71828).cancelTransition,h=r(51018),p=r(56269),d=r(7901);function v(t){return Math.ceil(t.calcdata.maxLineWidth/2)}function g(t,e){return\"clip\"+t._fullLayout._uid+\"_scrollAreaBottomClip_\"+e.key}function y(t,e){return\"clip\"+t._fullLayout._uid+\"_columnBoundaryClippath_\"+e.calcdata.key+\"_\"+e.specIndex}function m(t){return[].concat.apply([],t.map((function(t){return t}))).map((function(t){return t.__data__}))}function x(t,e,r){var a=t.selectAll(\".\"+n.cn.scrollbarKit).data(o.repeat,o.keyFun);a.enter().append(\"g\").classed(n.cn.scrollbarKit,!0).style(\"shape-rendering\",\"geometricPrecision\"),a.each((function(t){var e=t.scrollbarState;e.totalHeight=function(t){var e=t.rowBlocks;return z(e,e.length-1)+(e.length?R(e[e.length-1],1/0):1)}(t),e.scrollableAreaHeight=t.groupHeight-S(t),e.currentlyVisibleHeight=Math.min(e.totalHeight,e.scrollableAreaHeight),e.ratio=e.currentlyVisibleHeight/e.totalHeight,e.barLength=Math.max(e.ratio*e.currentlyVisibleHeight,n.goldenRatio*n.scrollbarWidth),e.barWiggleRoom=e.currentlyVisibleHeight-e.barLength,e.wiggleRoom=Math.max(0,e.totalHeight-e.scrollableAreaHeight),e.topY=0===e.barWiggleRoom?0:t.scrollY/e.wiggleRoom*e.barWiggleRoom,e.bottomY=e.topY+e.barLength,e.dragMultiplier=e.wiggleRoom/e.barWiggleRoom})).attr(\"transform\",(function(t){var e=t.width+n.scrollbarWidth/2+n.scrollbarOffset;return c(e,S(t))}));var s=a.selectAll(\".\"+n.cn.scrollbar).data(o.repeat,o.keyFun);s.enter().append(\"g\").classed(n.cn.scrollbar,!0);var l=s.selectAll(\".\"+n.cn.scrollbarSlider).data(o.repeat,o.keyFun);l.enter().append(\"g\").classed(n.cn.scrollbarSlider,!0),l.attr(\"transform\",(function(t){return c(0,t.scrollbarState.topY||0)}));var u=l.selectAll(\".\"+n.cn.scrollbarGlyph).data(o.repeat,o.keyFun);u.enter().append(\"line\").classed(n.cn.scrollbarGlyph,!0).attr(\"stroke\",\"black\").attr(\"stroke-width\",n.scrollbarWidth).attr(\"stroke-linecap\",\"round\").attr(\"y1\",n.scrollbarWidth/2),u.attr(\"y2\",(function(t){return t.scrollbarState.barLength-n.scrollbarWidth/2})).attr(\"stroke-opacity\",(function(t){return t.columnDragInProgress||!t.scrollbarState.barWiggleRoom||r?0:.4})),u.transition().delay(0).duration(0),u.transition().delay(n.scrollbarHideDelay).duration(n.scrollbarHideDuration).attr(\"stroke-opacity\",0);var f=s.selectAll(\".\"+n.cn.scrollbarCaptureZone).data(o.repeat,o.keyFun);f.enter().append(\"line\").classed(n.cn.scrollbarCaptureZone,!0).attr(\"stroke\",\"white\").attr(\"stroke-opacity\",.01).attr(\"stroke-width\",n.scrollbarCaptureWidth).attr(\"stroke-linecap\",\"butt\").attr(\"y1\",0).on(\"mousedown\",(function(r){var n=i.event.y,a=this.getBoundingClientRect(),o=r.scrollbarState,s=n-a.top,l=i.scale.linear().domain([0,o.scrollableAreaHeight]).range([0,o.totalHeight]).clamp(!0);o.topY<=s&&s<=o.bottomY||L(e,t,null,l(s-o.barLength/2))(r)})).call(i.behavior.drag().origin((function(t){return i.event.stopPropagation(),t.scrollbarState.scrollbarScrollInProgress=!0,t})).on(\"drag\",L(e,t)).on(\"dragend\",(function(){}))),f.attr(\"y2\",(function(t){return t.scrollbarState.scrollableAreaHeight})),e._context.staticPlot&&(u.remove(),f.remove())}function b(t,e,r,a){var l=function(t){var e=t.selectAll(\".\"+n.cn.columnCells).data(o.repeat,o.keyFun);return e.enter().append(\"g\").classed(n.cn.columnCells,!0),e.exit().remove(),e}(r),u=function(t){var e=t.selectAll(\".\"+n.cn.columnCell).data(p.splitToCells,(function(t){return t.keyWithinBlock}));return e.enter().append(\"g\").classed(n.cn.columnCell,!0),e.exit().remove(),e}(l);!function(t){t.each((function(t,e){var r=t.calcdata.cells.font,n=t.column.specIndex,i={size:T(r.size,n,e),color:T(r.color,n,e),family:T(r.family,n,e)};t.rowNumber=t.key,t.align=T(t.calcdata.cells.align,n,e),t.cellBorderWidth=T(t.calcdata.cells.line.width,n,e),t.font=i}))}(u);var c=function(t){var e=t.selectAll(\".\"+n.cn.cellRect).data(o.repeat,(function(t){return t.keyWithinBlock}));return e.enter().append(\"rect\").classed(n.cn.cellRect,!0),e}(u);!function(t){t.attr(\"width\",(function(t){return t.column.columnWidth})).attr(\"stroke-width\",(function(t){return t.cellBorderWidth})).each((function(t){var e=i.select(this);d.stroke(e,T(t.calcdata.cells.line.color,t.column.specIndex,t.rowNumber)),d.fill(e,T(t.calcdata.cells.fill.color,t.column.specIndex,t.rowNumber))}))}(c);var f=function(t){var e=t.selectAll(\".\"+n.cn.cellTextHolder).data(o.repeat,(function(t){return t.keyWithinBlock}));return e.enter().append(\"g\").classed(n.cn.cellTextHolder,!0).style(\"shape-rendering\",\"geometricPrecision\"),e}(u),h=function(t){var e=t.selectAll(\".\"+n.cn.cellText).data(o.repeat,(function(t){return t.keyWithinBlock}));return e.enter().append(\"text\").classed(n.cn.cellText,!0).style(\"cursor\",(function(){return\"auto\"})).on(\"mousedown\",(function(){i.event.stopPropagation()})),e}(f);!function(t){t.each((function(t){s.font(i.select(this),t.font)}))}(h),_(h,e,a,t),D(u)}function _(t,e,r,o){t.text((function(t){var e=t.column.specIndex,r=t.rowNumber,i=t.value,o=\"string\"==typeof i,s=o&&i.match(/<br>/i),l=!o||s;t.mayHaveMarkup=o&&i.match(/[<&>]/);var u,c=\"string\"==typeof(u=i)&&u.match(n.latexCheck);t.latex=c;var f,h,p=c?\"\":T(t.calcdata.cells.prefix,e,r)||\"\",d=c?\"\":T(t.calcdata.cells.suffix,e,r)||\"\",v=c?null:T(t.calcdata.cells.format,e,r)||null,g=p+(v?a(v)(t.value):t.value)+d;if(t.wrappingNeeded=!t.wrapped&&!l&&!c&&(f=w(g)),t.cellHeightMayIncrease=s||c||t.mayHaveMarkup||(void 0===f?w(g):f),t.needsConvertToTspans=t.mayHaveMarkup||t.wrappingNeeded||t.latex,t.wrappingNeeded){var y=(\" 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k(t,e,r){t.transition().ease(n.releaseTransitionEase).duration(n.releaseTransitionDuration).attr(\"transform\",c(e.x,r))}function A(t){return\"cells\"===t.type}function M(t){return\"header\"===t.type}function S(t){return(t.rowBlocks.length?t.rowBlocks[0].auxiliaryBlocks:[]).reduce((function(t,e){return t+R(e,1/0)}),0)}function E(t,e,r){var n=m(e)[0];if(void 0!==n){var i=n.rowBlocks,a=n.calcdata,o=z(i,i.length),s=n.calcdata.groupHeight-S(n),l=a.scrollY=Math.max(0,Math.min(o-s,a.scrollY)),u=function(t,e,r){for(var n=[],i=0,a=0;a<t.length;a++){for(var o=t[a],s=o.rows,l=0,u=0;u<s.length;u++)l+=s[u].rowHeight;o.allRowsHeight=l,e<i+l&&e+r>i&&n.push(a),i+=l}return n}(i,l,s);1===u.length&&(u[0]===i.length-1?u.unshift(u[0]-1):u.push(u[0]+1)),u[0]%2&&u.reverse(),e.each((function(t,e){t.page=u[e],t.scrollY=l})),e.attr(\"transform\",(function(t){var e=z(t.rowBlocks,t.page)-t.scrollY;return c(0,e)})),t&&(C(t,r,e,u,n.prevPages,n,0),C(t,r,e,u,n.prevPages,n,1),x(r,t))}}function L(t,e,r,a){return function(o){var s=o.calcdata?o.calcdata:o,l=e.filter((function(t){return s.key===t.key})),u=r||s.scrollbarState.dragMultiplier,c=s.scrollY;s.scrollY=void 0===a?s.scrollY+u*i.event.dy:a;var f=l.selectAll(\".\"+n.cn.yColumn).selectAll(\".\"+n.cn.columnBlock).filter(A);return E(t,f,l),s.scrollY===c}}function C(t,e,r,n,i,a,o){n[o]!==i[o]&&(clearTimeout(a.currentRepaint[o]),a.currentRepaint[o]=setTimeout((function(){var a=r.filter((function(t,e){return e===o&&n[e]!==i[e]}));b(t,e,a,r),i[o]=n[o]})))}function P(t,e,r,a){return function(){var o=i.select(e.parentNode);o.each((function(t){var e=t.fragments;o.selectAll(\"tspan.line\").each((function(t,r){e[r].width=this.getComputedTextLength()}));var 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r=!t._context.staticPlot,a=t._fullLayout._paper.selectAll(\".\"+n.cn.table).data(e.map((function(e){var r=o.unwrap(e).trace;return h(t,r)})),o.keyFun);a.exit().remove(),a.enter().append(\"g\").classed(n.cn.table,!0).attr(\"overflow\",\"visible\").style(\"box-sizing\",\"content-box\").style(\"position\",\"absolute\").style(\"left\",0).style(\"overflow\",\"visible\").style(\"shape-rendering\",\"crispEdges\").style(\"pointer-events\",\"all\"),a.attr(\"width\",(function(t){return t.width+t.size.l+t.size.r})).attr(\"height\",(function(t){return t.height+t.size.t+t.size.b})).attr(\"transform\",(function(t){return c(t.translateX,t.translateY)}));var l=a.selectAll(\".\"+n.cn.tableControlView).data(o.repeat,o.keyFun),d=l.enter().append(\"g\").classed(n.cn.tableControlView,!0).style(\"box-sizing\",\"content-box\");if(r){var _=\"onwheel\"in document?\"wheel\":\"mousewheel\";d.on(\"mousemove\",(function(e){l.filter((function(t){return 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c=[\"\",\"0\",\"00\",\"000\",\"0000\",\"00000\",\"000000\",\"0000000\",\"00000000\",\"000000000\",\"0000000000\",\"00000000000\",\"000000000000\",\"0000000000000\",\"00000000000000\",\"000000000000000\",\"0000000000000000\",\"00000000000000000\",\"000000000000000000\",\"0000000000000000000\",\"00000000000000000000\",\"000000000000000000000\",\"0000000000000000000000\",\"00000000000000000000000\",\"000000000000000000000000\",\"0000000000000000000000000\"],f=[0,0,25,16,12,11,10,9,8,8,7,7,7,7,6,6,6,6,6,6,6,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5],h=[0,0,33554432,43046721,16777216,48828125,60466176,40353607,16777216,43046721,1e7,19487171,35831808,62748517,7529536,11390625,16777216,24137569,34012224,47045881,64e6,4084101,5153632,6436343,7962624,9765625,11881376,14348907,17210368,20511149,243e5,28629151,33554432,39135393,45435424,52521875,60466176];function p(t,e,r){r.negative=e.negative^t.negative;var n=t.length+e.length|0;r.length=n,n=n-1|0;var i=0|t.words[0],a=0|e.words[0],o=i*a,s=67108863&o,l=o/67108864|0;r.words[0]=s;for(var u=1;u<n;u++){for(var c=l>>>26,f=67108863&l,h=Math.min(u,e.length-1),p=Math.max(0,u-t.length+1);p<=h;p++){var d=u-p|0;c+=(o=(i=0|t.words[d])*(a=0|e.words[p])+f)/67108864|0,f=67108863&o}r.words[u]=0|f,l=0|c}return 0!==l?r.words[u]=0|l:r.length--,r.strip()}a.prototype.toString=function(t,e){var r;if(e=0|e||1,16===(t=t||10)||\"hex\"===t){r=\"\";for(var i=0,a=0,o=0;o<this.length;o++){var s=this.words[o],l=(16777215&(s<<i|a)).toString(16);r=0!=(a=s>>>24-i&16777215)||o!==this.length-1?c[6-l.length]+l+r:l+r,(i+=2)>=26&&(i-=26,o--)}for(0!==a&&(r=a.toString(16)+r);r.length%e!=0;)r=\"0\"+r;return 0!==this.negative&&(r=\"-\"+r),r}if(t===(0|t)&&t>=2&&t<=36){var u=f[t],p=h[t];r=\"\";var d=this.clone();for(d.negative=0;!d.isZero();){var v=d.modn(p).toString(t);r=(d=d.idivn(p)).isZero()?v+r:c[u-v.length]+v+r}for(this.isZero()&&(r=\"0\"+r);r.length%e!=0;)r=\"0\"+r;return 0!==this.negative&&(r=\"-\"+r),r}n(!1,\"Base 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32-Math.clz32(t)}:a.prototype._countBits=function(t){var e=t,r=0;return e>=4096&&(r+=13,e>>>=13),e>=64&&(r+=7,e>>>=7),e>=8&&(r+=4,e>>>=4),e>=2&&(r+=2,e>>>=2),r+e},a.prototype._zeroBits=function(t){if(0===t)return 26;var e=t,r=0;return 0==(8191&e)&&(r+=13,e>>>=13),0==(127&e)&&(r+=7,e>>>=7),0==(15&e)&&(r+=4,e>>>=4),0==(3&e)&&(r+=2,e>>>=2),0==(1&e)&&r++,r},a.prototype.bitLength=function(){var t=this.words[this.length-1],e=this._countBits(t);return 26*(this.length-1)+e},a.prototype.zeroBits=function(){if(this.isZero())return 0;for(var t=0,e=0;e<this.length;e++){var r=this._zeroBits(this.words[e]);if(t+=r,26!==r)break}return t},a.prototype.byteLength=function(){return Math.ceil(this.bitLength()/8)},a.prototype.toTwos=function(t){return 0!==this.negative?this.abs().inotn(t).iaddn(1):this.clone()},a.prototype.fromTwos=function(t){return this.testn(t-1)?this.notn(t).iaddn(1).ineg():this.clone()},a.prototype.isNeg=function(){return 0!==this.negative},a.prototype.neg=function(){return this.clone().ineg()},a.prototype.ineg=function(){return this.isZero()||(this.negative^=1),this},a.prototype.iuor=function(t){for(;this.length<t.length;)this.words[this.length++]=0;for(var e=0;e<t.length;e++)this.words[e]=this.words[e]|t.words[e];return this.strip()},a.prototype.ior=function(t){return n(0==(this.negative|t.negative)),this.iuor(t)},a.prototype.or=function(t){return this.length>t.length?this.clone().ior(t):t.clone().ior(this)},a.prototype.uor=function(t){return this.length>t.length?this.clone().iuor(t):t.clone().iuor(this)},a.prototype.iuand=function(t){var e;e=this.length>t.length?t:this;for(var r=0;r<e.length;r++)this.words[r]=this.words[r]&t.words[r];return this.length=e.length,this.strip()},a.prototype.iand=function(t){return n(0==(this.negative|t.negative)),this.iuand(t)},a.prototype.and=function(t){return this.length>t.length?this.clone().iand(t):t.clone().iand(this)},a.prototype.uand=function(t){return this.length>t.length?this.clone().iuand(t):t.clone().iuand(this)},a.prototype.iuxor=function(t){var e,r;this.length>t.length?(e=this,r=t):(e=t,r=this);for(var n=0;n<r.length;n++)this.words[n]=e.words[n]^r.words[n];if(this!==e)for(;n<e.length;n++)this.words[n]=e.words[n];return this.length=e.length,this.strip()},a.prototype.ixor=function(t){return n(0==(this.negative|t.negative)),this.iuxor(t)},a.prototype.xor=function(t){return this.length>t.length?this.clone().ixor(t):t.clone().ixor(this)},a.prototype.uxor=function(t){return this.length>t.length?this.clone().iuxor(t):t.clone().iuxor(this)},a.prototype.inotn=function(t){n(\"number\"==typeof t&&t>=0);var e=0|Math.ceil(t/26),r=t%26;this._expand(e),r>0&&e--;for(var i=0;i<e;i++)this.words[i]=67108863&~this.words[i];return r>0&&(this.words[i]=~this.words[i]&67108863>>26-r),this.strip()},a.prototype.notn=function(t){return this.clone().inotn(t)},a.prototype.setn=function(t,e){n(\"number\"==typeof t&&t>=0);var r=t/26|0,i=t%26;return this._expand(r+1),this.words[r]=e?this.words[r]|1<<i:this.words[r]&~(1<<i),this.strip()},a.prototype.iadd=function(t){var e,r,n;if(0!==this.negative&&0===t.negative)return this.negative=0,e=this.isub(t),this.negative^=1,this._normSign();if(0===this.negative&&0!==t.negative)return t.negative=0,e=this.isub(t),t.negative=1,e._normSign();this.length>t.length?(r=this,n=t):(r=t,n=this);for(var i=0,a=0;a<n.length;a++)e=(0|r.words[a])+(0|n.words[a])+i,this.words[a]=67108863&e,i=e>>>26;for(;0!==i&&a<r.length;a++)e=(0|r.words[a])+i,this.words[a]=67108863&e,i=e>>>26;if(this.length=r.length,0!==i)this.words[this.length]=i,this.length++;else if(r!==this)for(;a<r.length;a++)this.words[a]=r.words[a];return this},a.prototype.add=function(t){var e;return 0!==t.negative&&0===this.negative?(t.negative=0,e=this.sub(t),t.negative^=1,e):0===t.negative&&0!==this.negative?(this.negative=0,e=t.sub(this),this.negative=1,e):this.length>t.length?this.clone().iadd(t):t.clone().iadd(this)},a.prototype.isub=function(t){if(0!==t.negative){t.negative=0;var e=this.iadd(t);return t.negative=1,e._normSign()}if(0!==this.negative)return this.negative=0,this.iadd(t),this.negative=1,this._normSign();var r,n,i=this.cmp(t);if(0===i)return this.negative=0,this.length=1,this.words[0]=0,this;i>0?(r=this,n=t):(r=t,n=this);for(var a=0,o=0;o<n.length;o++)a=(e=(0|r.words[o])-(0|n.words[o])+a)>>26,this.words[o]=67108863&e;for(;0!==a&&o<r.length;o++)a=(e=(0|r.words[o])+a)>>26,this.words[o]=67108863&e;if(0===a&&o<r.length&&r!==this)for(;o<r.length;o++)this.words[o]=r.words[o];return this.length=Math.max(this.length,o),r!==this&&(this.negative=1),this.strip()},a.prototype.sub=function(t){return this.clone().isub(t)};var d=function(t,e,r){var n,i,a,o=t.words,s=e.words,l=r.words,u=0,c=0|o[0],f=8191&c,h=c>>>13,p=0|o[1],d=8191&p,v=p>>>13,g=0|o[2],y=8191&g,m=g>>>13,x=0|o[3],b=8191&x,_=x>>>13,w=0|o[4],T=8191&w,k=w>>>13,A=0|o[5],M=8191&A,S=A>>>13,E=0|o[6],L=8191&E,C=E>>>13,P=0|o[7],O=8191&P,I=P>>>13,D=0|o[8],z=8191&D,R=D>>>13,F=0|o[9],B=8191&F,N=F>>>13,j=0|s[0],U=8191&j,V=j>>>13,H=0|s[1],q=8191&H,G=H>>>13,Z=0|s[2],Y=8191&Z,W=Z>>>13,X=0|s[3],J=8191&X,K=X>>>13,$=0|s[4],Q=8191&$,tt=$>>>13,et=0|s[5],rt=8191&et,nt=et>>>13,it=0|s[6],at=8191&it,ot=it>>>13,st=0|s[7],lt=8191&st,ut=st>>>13,ct=0|s[8],ft=8191&ct,ht=ct>>>13,pt=0|s[9],dt=8191&pt,vt=pt>>>13;r.negative=t.negative^e.negative,r.length=19;var gt=(u+(n=Math.imul(f,U))|0)+((8191&(i=(i=Math.imul(f,V))+Math.imul(h,U)|0))<<13)|0;u=((a=Math.imul(h,V))+(i>>>13)|0)+(gt>>>26)|0,gt&=67108863,n=Math.imul(d,U),i=(i=Math.imul(d,V))+Math.imul(v,U)|0,a=Math.imul(v,V);var yt=(u+(n=n+Math.imul(f,q)|0)|0)+((8191&(i=(i=i+Math.imul(f,G)|0)+Math.imul(h,q)|0))<<13)|0;u=((a=a+Math.imul(h,G)|0)+(i>>>13)|0)+(yt>>>26)|0,yt&=67108863,n=Math.imul(y,U),i=(i=Math.imul(y,V))+Math.imul(m,U)|0,a=Math.imul(m,V),n=n+Math.imul(d,q)|0,i=(i=i+Math.imul(d,G)|0)+Math.imul(v,q)|0,a=a+Math.imul(v,G)|0;var mt=(u+(n=n+Math.imul(f,Y)|0)|0)+((8191&(i=(i=i+Math.imul(f,W)|0)+Math.imul(h,Y)|0))<<13)|0;u=((a=a+Math.imul(h,W)|0)+(i>>>13)|0)+(mt>>>26)|0,mt&=67108863,n=Math.imul(b,U),i=(i=Math.imul(b,V))+Math.imul(_,U)|0,a=Math.imul(_,V),n=n+Math.imul(y,q)|0,i=(i=i+Math.imul(y,G)|0)+Math.imul(m,q)|0,a=a+Math.imul(m,G)|0,n=n+Math.imul(d,Y)|0,i=(i=i+Math.imul(d,W)|0)+Math.imul(v,Y)|0,a=a+Math.imul(v,W)|0;var xt=(u+(n=n+Math.imul(f,J)|0)|0)+((8191&(i=(i=i+Math.imul(f,K)|0)+Math.imul(h,J)|0))<<13)|0;u=((a=a+Math.imul(h,K)|0)+(i>>>13)|0)+(xt>>>26)|0,xt&=67108863,n=Math.imul(T,U),i=(i=Math.imul(T,V))+Math.imul(k,U)|0,a=Math.imul(k,V),n=n+Math.imul(b,q)|0,i=(i=i+Math.imul(b,G)|0)+Math.imul(_,q)|0,a=a+Math.imul(_,G)|0,n=n+Math.imul(y,Y)|0,i=(i=i+Math.imul(y,W)|0)+Math.imul(m,Y)|0,a=a+Math.imul(m,W)|0,n=n+Math.imul(d,J)|0,i=(i=i+Math.imul(d,K)|0)+Math.imul(v,J)|0,a=a+Math.imul(v,K)|0;var bt=(u+(n=n+Math.imul(f,Q)|0)|0)+((8191&(i=(i=i+Math.imul(f,tt)|0)+Math.imul(h,Q)|0))<<13)|0;u=((a=a+Math.imul(h,tt)|0)+(i>>>13)|0)+(bt>>>26)|0,bt&=67108863,n=Math.imul(M,U),i=(i=Math.imul(M,V))+Math.imul(S,U)|0,a=Math.imul(S,V),n=n+Math.imul(T,q)|0,i=(i=i+Math.imul(T,G)|0)+Math.imul(k,q)|0,a=a+Math.imul(k,G)|0,n=n+Math.imul(b,Y)|0,i=(i=i+Math.imul(b,W)|0)+Math.imul(_,Y)|0,a=a+Math.imul(_,W)|0,n=n+Math.imul(y,J)|0,i=(i=i+Math.imul(y,K)|0)+Math.imul(m,J)|0,a=a+Math.imul(m,K)|0,n=n+Math.imul(d,Q)|0,i=(i=i+Math.imul(d,tt)|0)+Math.imul(v,Q)|0,a=a+Math.imul(v,tt)|0;var _t=(u+(n=n+Math.imul(f,rt)|0)|0)+((8191&(i=(i=i+Math.imul(f,nt)|0)+Math.imul(h,rt)|0))<<13)|0;u=((a=a+Math.imul(h,nt)|0)+(i>>>13)|0)+(_t>>>26)|0,_t&=67108863,n=Math.imul(L,U),i=(i=Math.imul(L,V))+Math.imul(C,U)|0,a=Math.imul(C,V),n=n+Math.imul(M,q)|0,i=(i=i+Math.imul(M,G)|0)+Math.imul(S,q)|0,a=a+Math.imul(S,G)|0,n=n+Math.imul(T,Y)|0,i=(i=i+Math.imul(T,W)|0)+Math.imul(k,Y)|0,a=a+Math.imul(k,W)|0,n=n+Math.imul(b,J)|0,i=(i=i+Math.imul(b,K)|0)+Math.imul(_,J)|0,a=a+Math.imul(_,K)|0,n=n+Math.imul(y,Q)|0,i=(i=i+Math.imul(y,tt)|0)+Math.imul(m,Q)|0,a=a+Math.imul(m,tt)|0,n=n+Math.imul(d,rt)|0,i=(i=i+Math.imul(d,nt)|0)+Math.imul(v,rt)|0,a=a+Math.imul(v,nt)|0;var wt=(u+(n=n+Math.imul(f,at)|0)|0)+((8191&(i=(i=i+Math.imul(f,ot)|0)+Math.imul(h,at)|0))<<13)|0;u=((a=a+Math.imul(h,ot)|0)+(i>>>13)|0)+(wt>>>26)|0,wt&=67108863,n=Math.imul(O,U),i=(i=Math.imul(O,V))+Math.imul(I,U)|0,a=Math.imul(I,V),n=n+Math.imul(L,q)|0,i=(i=i+Math.imul(L,G)|0)+Math.imul(C,q)|0,a=a+Math.imul(C,G)|0,n=n+Math.imul(M,Y)|0,i=(i=i+Math.imul(M,W)|0)+Math.imul(S,Y)|0,a=a+Math.imul(S,W)|0,n=n+Math.imul(T,J)|0,i=(i=i+Math.imul(T,K)|0)+Math.imul(k,J)|0,a=a+Math.imul(k,K)|0,n=n+Math.imul(b,Q)|0,i=(i=i+Math.imul(b,tt)|0)+Math.imul(_,Q)|0,a=a+Math.imul(_,tt)|0,n=n+Math.imul(y,rt)|0,i=(i=i+Math.imul(y,nt)|0)+Math.imul(m,rt)|0,a=a+Math.imul(m,nt)|0,n=n+Math.imul(d,at)|0,i=(i=i+Math.imul(d,ot)|0)+Math.imul(v,at)|0,a=a+Math.imul(v,ot)|0;var Tt=(u+(n=n+Math.imul(f,lt)|0)|0)+((8191&(i=(i=i+Math.imul(f,ut)|0)+Math.imul(h,lt)|0))<<13)|0;u=((a=a+Math.imul(h,ut)|0)+(i>>>13)|0)+(Tt>>>26)|0,Tt&=67108863,n=Math.imul(z,U),i=(i=Math.imul(z,V))+Math.imul(R,U)|0,a=Math.imul(R,V),n=n+Math.imul(O,q)|0,i=(i=i+Math.imul(O,G)|0)+Math.imul(I,q)|0,a=a+Math.imul(I,G)|0,n=n+Math.imul(L,Y)|0,i=(i=i+Math.imul(L,W)|0)+Math.imul(C,Y)|0,a=a+Math.imul(C,W)|0,n=n+Math.imul(M,J)|0,i=(i=i+Math.imul(M,K)|0)+Math.imul(S,J)|0,a=a+Math.imul(S,K)|0,n=n+Math.imul(T,Q)|0,i=(i=i+Math.imul(T,tt)|0)+Math.imul(k,Q)|0,a=a+Math.imul(k,tt)|0,n=n+Math.imul(b,rt)|0,i=(i=i+Math.imul(b,nt)|0)+Math.imul(_,rt)|0,a=a+Math.imul(_,nt)|0,n=n+Math.imul(y,at)|0,i=(i=i+Math.imul(y,ot)|0)+Math.imul(m,at)|0,a=a+Math.imul(m,ot)|0,n=n+Math.imul(d,lt)|0,i=(i=i+Math.imul(d,ut)|0)+Math.imul(v,lt)|0,a=a+Math.imul(v,ut)|0;var kt=(u+(n=n+Math.imul(f,ft)|0)|0)+((8191&(i=(i=i+Math.imul(f,ht)|0)+Math.imul(h,ft)|0))<<13)|0;u=((a=a+Math.imul(h,ht)|0)+(i>>>13)|0)+(kt>>>26)|0,kt&=67108863,n=Math.imul(B,U),i=(i=Math.imul(B,V))+Math.imul(N,U)|0,a=Math.imul(N,V),n=n+Math.imul(z,q)|0,i=(i=i+Math.imul(z,G)|0)+Math.imul(R,q)|0,a=a+Math.imul(R,G)|0,n=n+Math.imul(O,Y)|0,i=(i=i+Math.imul(O,W)|0)+Math.imul(I,Y)|0,a=a+Math.imul(I,W)|0,n=n+Math.imul(L,J)|0,i=(i=i+Math.imul(L,K)|0)+Math.imul(C,J)|0,a=a+Math.imul(C,K)|0,n=n+Math.imul(M,Q)|0,i=(i=i+Math.imul(M,tt)|0)+Math.imul(S,Q)|0,a=a+Math.imul(S,tt)|0,n=n+Math.imul(T,rt)|0,i=(i=i+Math.imul(T,nt)|0)+Math.imul(k,rt)|0,a=a+Math.imul(k,nt)|0,n=n+Math.imul(b,at)|0,i=(i=i+Math.imul(b,ot)|0)+Math.imul(_,at)|0,a=a+Math.imul(_,ot)|0,n=n+Math.imul(y,lt)|0,i=(i=i+Math.imul(y,ut)|0)+Math.imul(m,lt)|0,a=a+Math.imul(m,ut)|0,n=n+Math.imul(d,ft)|0,i=(i=i+Math.imul(d,ht)|0)+Math.imul(v,ft)|0,a=a+Math.imul(v,ht)|0;var At=(u+(n=n+Math.imul(f,dt)|0)|0)+((8191&(i=(i=i+Math.imul(f,vt)|0)+Math.imul(h,dt)|0))<<13)|0;u=((a=a+Math.imul(h,vt)|0)+(i>>>13)|0)+(At>>>26)|0,At&=67108863,n=Math.imul(B,q),i=(i=Math.imul(B,G))+Math.imul(N,q)|0,a=Math.imul(N,G),n=n+Math.imul(z,Y)|0,i=(i=i+Math.imul(z,W)|0)+Math.imul(R,Y)|0,a=a+Math.imul(R,W)|0,n=n+Math.imul(O,J)|0,i=(i=i+Math.imul(O,K)|0)+Math.imul(I,J)|0,a=a+Math.imul(I,K)|0,n=n+Math.imul(L,Q)|0,i=(i=i+Math.imul(L,tt)|0)+Math.imul(C,Q)|0,a=a+Math.imul(C,tt)|0,n=n+Math.imul(M,rt)|0,i=(i=i+Math.imul(M,nt)|0)+Math.imul(S,rt)|0,a=a+Math.imul(S,nt)|0,n=n+Math.imul(T,at)|0,i=(i=i+Math.imul(T,ot)|0)+Math.imul(k,at)|0,a=a+Math.imul(k,ot)|0,n=n+Math.imul(b,lt)|0,i=(i=i+Math.imul(b,ut)|0)+Math.imul(_,lt)|0,a=a+Math.imul(_,ut)|0,n=n+Math.imul(y,ft)|0,i=(i=i+Math.imul(y,ht)|0)+Math.imul(m,ft)|0,a=a+Math.imul(m,ht)|0;var Mt=(u+(n=n+Math.imul(d,dt)|0)|0)+((8191&(i=(i=i+Math.imul(d,vt)|0)+Math.imul(v,dt)|0))<<13)|0;u=((a=a+Math.imul(v,vt)|0)+(i>>>13)|0)+(Mt>>>26)|0,Mt&=67108863,n=Math.imul(B,Y),i=(i=Math.imul(B,W))+Math.imul(N,Y)|0,a=Math.imul(N,W),n=n+Math.imul(z,J)|0,i=(i=i+Math.imul(z,K)|0)+Math.imul(R,J)|0,a=a+Math.imul(R,K)|0,n=n+Math.imul(O,Q)|0,i=(i=i+Math.imul(O,tt)|0)+Math.imul(I,Q)|0,a=a+Math.imul(I,tt)|0,n=n+Math.imul(L,rt)|0,i=(i=i+Math.imul(L,nt)|0)+Math.imul(C,rt)|0,a=a+Math.imul(C,nt)|0,n=n+Math.imul(M,at)|0,i=(i=i+Math.imul(M,ot)|0)+Math.imul(S,at)|0,a=a+Math.imul(S,ot)|0,n=n+Math.imul(T,lt)|0,i=(i=i+Math.imul(T,ut)|0)+Math.imul(k,lt)|0,a=a+Math.imul(k,ut)|0,n=n+Math.imul(b,ft)|0,i=(i=i+Math.imul(b,ht)|0)+Math.imul(_,ft)|0,a=a+Math.imul(_,ht)|0;var St=(u+(n=n+Math.imul(y,dt)|0)|0)+((8191&(i=(i=i+Math.imul(y,vt)|0)+Math.imul(m,dt)|0))<<13)|0;u=((a=a+Math.imul(m,vt)|0)+(i>>>13)|0)+(St>>>26)|0,St&=67108863,n=Math.imul(B,J),i=(i=Math.imul(B,K))+Math.imul(N,J)|0,a=Math.imul(N,K),n=n+Math.imul(z,Q)|0,i=(i=i+Math.imul(z,tt)|0)+Math.imul(R,Q)|0,a=a+Math.imul(R,tt)|0,n=n+Math.imul(O,rt)|0,i=(i=i+Math.imul(O,nt)|0)+Math.imul(I,rt)|0,a=a+Math.imul(I,nt)|0,n=n+Math.imul(L,at)|0,i=(i=i+Math.imul(L,ot)|0)+Math.imul(C,at)|0,a=a+Math.imul(C,ot)|0,n=n+Math.imul(M,lt)|0,i=(i=i+Math.imul(M,ut)|0)+Math.imul(S,lt)|0,a=a+Math.imul(S,ut)|0,n=n+Math.imul(T,ft)|0,i=(i=i+Math.imul(T,ht)|0)+Math.imul(k,ft)|0,a=a+Math.imul(k,ht)|0;var Et=(u+(n=n+Math.imul(b,dt)|0)|0)+((8191&(i=(i=i+Math.imul(b,vt)|0)+Math.imul(_,dt)|0))<<13)|0;u=((a=a+Math.imul(_,vt)|0)+(i>>>13)|0)+(Et>>>26)|0,Et&=67108863,n=Math.imul(B,Q),i=(i=Math.imul(B,tt))+Math.imul(N,Q)|0,a=Math.imul(N,tt),n=n+Math.imul(z,rt)|0,i=(i=i+Math.imul(z,nt)|0)+Math.imul(R,rt)|0,a=a+Math.imul(R,nt)|0,n=n+Math.imul(O,at)|0,i=(i=i+Math.imul(O,ot)|0)+Math.imul(I,at)|0,a=a+Math.imul(I,ot)|0,n=n+Math.imul(L,lt)|0,i=(i=i+Math.imul(L,ut)|0)+Math.imul(C,lt)|0,a=a+Math.imul(C,ut)|0,n=n+Math.imul(M,ft)|0,i=(i=i+Math.imul(M,ht)|0)+Math.imul(S,ft)|0,a=a+Math.imul(S,ht)|0;var Lt=(u+(n=n+Math.imul(T,dt)|0)|0)+((8191&(i=(i=i+Math.imul(T,vt)|0)+Math.imul(k,dt)|0))<<13)|0;u=((a=a+Math.imul(k,vt)|0)+(i>>>13)|0)+(Lt>>>26)|0,Lt&=67108863,n=Math.imul(B,rt),i=(i=Math.imul(B,nt))+Math.imul(N,rt)|0,a=Math.imul(N,nt),n=n+Math.imul(z,at)|0,i=(i=i+Math.imul(z,ot)|0)+Math.imul(R,at)|0,a=a+Math.imul(R,ot)|0,n=n+Math.imul(O,lt)|0,i=(i=i+Math.imul(O,ut)|0)+Math.imul(I,lt)|0,a=a+Math.imul(I,ut)|0,n=n+Math.imul(L,ft)|0,i=(i=i+Math.imul(L,ht)|0)+Math.imul(C,ft)|0,a=a+Math.imul(C,ht)|0;var Ct=(u+(n=n+Math.imul(M,dt)|0)|0)+((8191&(i=(i=i+Math.imul(M,vt)|0)+Math.imul(S,dt)|0))<<13)|0;u=((a=a+Math.imul(S,vt)|0)+(i>>>13)|0)+(Ct>>>26)|0,Ct&=67108863,n=Math.imul(B,at),i=(i=Math.imul(B,ot))+Math.imul(N,at)|0,a=Math.imul(N,ot),n=n+Math.imul(z,lt)|0,i=(i=i+Math.imul(z,ut)|0)+Math.imul(R,lt)|0,a=a+Math.imul(R,ut)|0,n=n+Math.imul(O,ft)|0,i=(i=i+Math.imul(O,ht)|0)+Math.imul(I,ft)|0,a=a+Math.imul(I,ht)|0;var Pt=(u+(n=n+Math.imul(L,dt)|0)|0)+((8191&(i=(i=i+Math.imul(L,vt)|0)+Math.imul(C,dt)|0))<<13)|0;u=((a=a+Math.imul(C,vt)|0)+(i>>>13)|0)+(Pt>>>26)|0,Pt&=67108863,n=Math.imul(B,lt),i=(i=Math.imul(B,ut))+Math.imul(N,lt)|0,a=Math.imul(N,ut),n=n+Math.imul(z,ft)|0,i=(i=i+Math.imul(z,ht)|0)+Math.imul(R,ft)|0,a=a+Math.imul(R,ht)|0;var Ot=(u+(n=n+Math.imul(O,dt)|0)|0)+((8191&(i=(i=i+Math.imul(O,vt)|0)+Math.imul(I,dt)|0))<<13)|0;u=((a=a+Math.imul(I,vt)|0)+(i>>>13)|0)+(Ot>>>26)|0,Ot&=67108863,n=Math.imul(B,ft),i=(i=Math.imul(B,ht))+Math.imul(N,ft)|0,a=Math.imul(N,ht);var It=(u+(n=n+Math.imul(z,dt)|0)|0)+((8191&(i=(i=i+Math.imul(z,vt)|0)+Math.imul(R,dt)|0))<<13)|0;u=((a=a+Math.imul(R,vt)|0)+(i>>>13)|0)+(It>>>26)|0,It&=67108863;var Dt=(u+(n=Math.imul(B,dt))|0)+((8191&(i=(i=Math.imul(B,vt))+Math.imul(N,dt)|0))<<13)|0;return u=((a=Math.imul(N,vt))+(i>>>13)|0)+(Dt>>>26)|0,Dt&=67108863,l[0]=gt,l[1]=yt,l[2]=mt,l[3]=xt,l[4]=bt,l[5]=_t,l[6]=wt,l[7]=Tt,l[8]=kt,l[9]=At,l[10]=Mt,l[11]=St,l[12]=Et,l[13]=Lt,l[14]=Ct,l[15]=Pt,l[16]=Ot,l[17]=It,l[18]=Dt,0!==u&&(l[19]=u,r.length++),r};function v(t,e,r){return(new g).mulp(t,e,r)}function g(t,e){this.x=t,this.y=e}Math.imul||(d=p),a.prototype.mulTo=function(t,e){var r,n=this.length+t.length;return r=10===this.length&&10===t.length?d(this,t,e):n<63?p(this,t,e):n<1024?function(t,e,r){r.negative=e.negative^t.negative,r.length=t.length+e.length;for(var n=0,i=0,a=0;a<r.length-1;a++){var o=i;i=0;for(var s=67108863&n,l=Math.min(a,e.length-1),u=Math.max(0,a-t.length+1);u<=l;u++){var c=a-u,f=(0|t.words[c])*(0|e.words[u]),h=67108863&f;s=67108863&(h=h+s|0),i+=(o=(o=o+(f/67108864|0)|0)+(h>>>26)|0)>>>26,o&=67108863}r.words[a]=s,n=o,o=i}return 0!==n?r.words[a]=n:r.length--,r.strip()}(this,t,e):v(this,t,e),r},g.prototype.makeRBT=function(t){for(var e=new Array(t),r=a.prototype._countBits(t)-1,n=0;n<t;n++)e[n]=this.revBin(n,r,t);return e},g.prototype.revBin=function(t,e,r){if(0===t||t===r-1)return t;for(var n=0,i=0;i<e;i++)n|=(1&t)<<e-i-1,t>>=1;return n},g.prototype.permute=function(t,e,r,n,i,a){for(var o=0;o<a;o++)n[o]=e[t[o]],i[o]=r[t[o]]},g.prototype.transform=function(t,e,r,n,i,a){this.permute(a,t,e,r,n,i);for(var o=1;o<i;o<<=1)for(var s=o<<1,l=Math.cos(2*Math.PI/s),u=Math.sin(2*Math.PI/s),c=0;c<i;c+=s)for(var f=l,h=u,p=0;p<o;p++){var d=r[c+p],v=n[c+p],g=r[c+p+o],y=n[c+p+o],m=f*g-h*y;y=f*y+h*g,g=m,r[c+p]=d+g,n[c+p]=v+y,r[c+p+o]=d-g,n[c+p+o]=v-y,p!==s&&(m=l*f-u*h,h=l*h+u*f,f=m)}},g.prototype.guessLen13b=function(t,e){var r=1|Math.max(e,t),n=1&r,i=0;for(r=r/2|0;r;r>>>=1)i++;return 1<<i+1+n},g.prototype.conjugate=function(t,e,r){if(!(r<=1))for(var n=0;n<r/2;n++){var i=t[n];t[n]=t[r-n-1],t[r-n-1]=i,i=e[n],e[n]=-e[r-n-1],e[r-n-1]=-i}},g.prototype.normalize13b=function(t,e){for(var r=0,n=0;n<e/2;n++){var i=8192*Math.round(t[2*n+1]/e)+Math.round(t[2*n]/e)+r;t[n]=67108863&i,r=i<67108864?0:i/67108864|0}return t},g.prototype.convert13b=function(t,e,r,i){for(var a=0,o=0;o<e;o++)a+=0|t[o],r[2*o]=8191&a,a>>>=13,r[2*o+1]=8191&a,a>>>=13;for(o=2*e;o<i;++o)r[o]=0;n(0===a),n(0==(-8192&a))},g.prototype.stub=function(t){for(var e=new Array(t),r=0;r<t;r++)e[r]=0;return e},g.prototype.mulp=function(t,e,r){var n=2*this.guessLen13b(t.length,e.length),i=this.makeRBT(n),a=this.stub(n),o=new Array(n),s=new Array(n),l=new Array(n),u=new Array(n),c=new Array(n),f=new Array(n),h=r.words;h.length=n,this.convert13b(t.words,t.length,o,n),this.convert13b(e.words,e.length,u,n),this.transform(o,a,s,l,n,i),this.transform(u,a,c,f,n,i);for(var p=0;p<n;p++){var d=s[p]*c[p]-l[p]*f[p];l[p]=s[p]*f[p]+l[p]*c[p],s[p]=d}return this.conjugate(s,l,n),this.transform(s,l,h,a,n,i),this.conjugate(h,a,n),this.normalize13b(h,n),r.negative=t.negative^e.negative,r.length=t.length+e.length,r.strip()},a.prototype.mul=function(t){var e=new a(null);return e.words=new Array(this.length+t.length),this.mulTo(t,e)},a.prototype.mulf=function(t){var e=new a(null);return e.words=new Array(this.length+t.length),v(this,t,e)},a.prototype.imul=function(t){return this.clone().mulTo(t,this)},a.prototype.imuln=function(t){n(\"number\"==typeof t),n(t<67108864);for(var e=0,r=0;r<this.length;r++){var i=(0|this.words[r])*t,a=(67108863&i)+(67108863&e);e>>=26,e+=i/67108864|0,e+=a>>>26,this.words[r]=67108863&a}return 0!==e&&(this.words[r]=e,this.length++),this},a.prototype.muln=function(t){return this.clone().imuln(t)},a.prototype.sqr=function(){return this.mul(this)},a.prototype.isqr=function(){return this.imul(this.clone())},a.prototype.pow=function(t){var e=function(t){for(var e=new Array(t.bitLength()),r=0;r<e.length;r++){var n=r/26|0,i=r%26;e[r]=(t.words[n]&1<<i)>>>i}return e}(t);if(0===e.length)return new a(1);for(var r=this,n=0;n<e.length&&0===e[n];n++,r=r.sqr());if(++n<e.length)for(var i=r.sqr();n<e.length;n++,i=i.sqr())0!==e[n]&&(r=r.mul(i));return r},a.prototype.iushln=function(t){n(\"number\"==typeof t&&t>=0);var e,r=t%26,i=(t-r)/26,a=67108863>>>26-r<<26-r;if(0!==r){var o=0;for(e=0;e<this.length;e++){var s=this.words[e]&a,l=(0|this.words[e])-s<<r;this.words[e]=l|o,o=s>>>26-r}o&&(this.words[e]=o,this.length++)}if(0!==i){for(e=this.length-1;e>=0;e--)this.words[e+i]=this.words[e];for(e=0;e<i;e++)this.words[e]=0;this.length+=i}return this.strip()},a.prototype.ishln=function(t){return n(0===this.negative),this.iushln(t)},a.prototype.iushrn=function(t,e,r){var i;n(\"number\"==typeof t&&t>=0),i=e?(e-e%26)/26:0;var a=t%26,o=Math.min((t-a)/26,this.length),s=67108863^67108863>>>a<<a,l=r;if(i-=o,i=Math.max(0,i),l){for(var u=0;u<o;u++)l.words[u]=this.words[u];l.length=o}if(0===o);else if(this.length>o)for(this.length-=o,u=0;u<this.length;u++)this.words[u]=this.words[u+o];else this.words[0]=0,this.length=1;var c=0;for(u=this.length-1;u>=0&&(0!==c||u>=i);u--){var f=0|this.words[u];this.words[u]=c<<26-a|f>>>a,c=f&s}return l&&0!==c&&(l.words[l.length++]=c),0===this.length&&(this.words[0]=0,this.length=1),this.strip()},a.prototype.ishrn=function(t,e,r){return n(0===this.negative),this.iushrn(t,e,r)},a.prototype.shln=function(t){return this.clone().ishln(t)},a.prototype.ushln=function(t){return this.clone().iushln(t)},a.prototype.shrn=function(t){return this.clone().ishrn(t)},a.prototype.ushrn=function(t){return this.clone().iushrn(t)},a.prototype.testn=function(t){n(\"number\"==typeof t&&t>=0);var e=t%26,r=(t-e)/26,i=1<<e;return!(this.length<=r||!(this.words[r]&i))},a.prototype.imaskn=function(t){n(\"number\"==typeof t&&t>=0);var e=t%26,r=(t-e)/26;if(n(0===this.negative,\"imaskn works only with positive numbers\"),this.length<=r)return this;if(0!==e&&r++,this.length=Math.min(r,this.length),0!==e){var i=67108863^67108863>>>e<<e;this.words[this.length-1]&=i}return this.strip()},a.prototype.maskn=function(t){return this.clone().imaskn(t)},a.prototype.iaddn=function(t){return n(\"number\"==typeof t),n(t<67108864),t<0?this.isubn(-t):0!==this.negative?1===this.length&&(0|this.words[0])<t?(this.words[0]=t-(0|this.words[0]),this.negative=0,this):(this.negative=0,this.isubn(t),this.negative=1,this):this._iaddn(t)},a.prototype._iaddn=function(t){this.words[0]+=t;for(var e=0;e<this.length&&this.words[e]>=67108864;e++)this.words[e]-=67108864,e===this.length-1?this.words[e+1]=1:this.words[e+1]++;return this.length=Math.max(this.length,e+1),this},a.prototype.isubn=function(t){if(n(\"number\"==typeof t),n(t<67108864),t<0)return this.iaddn(-t);if(0!==this.negative)return this.negative=0,this.iaddn(t),this.negative=1,this;if(this.words[0]-=t,1===this.length&&this.words[0]<0)this.words[0]=-this.words[0],this.negative=1;else for(var e=0;e<this.length&&this.words[e]<0;e++)this.words[e]+=67108864,this.words[e+1]-=1;return this.strip()},a.prototype.addn=function(t){return this.clone().iaddn(t)},a.prototype.subn=function(t){return this.clone().isubn(t)},a.prototype.iabs=function(){return this.negative=0,this},a.prototype.abs=function(){return this.clone().iabs()},a.prototype._ishlnsubmul=function(t,e,r){var i,a,o=t.length+r;this._expand(o);var s=0;for(i=0;i<t.length;i++){a=(0|this.words[i+r])+s;var l=(0|t.words[i])*e;s=((a-=67108863&l)>>26)-(l/67108864|0),this.words[i+r]=67108863&a}for(;i<this.length-r;i++)s=(a=(0|this.words[i+r])+s)>>26,this.words[i+r]=67108863&a;if(0===s)return this.strip();for(n(-1===s),s=0,i=0;i<this.length;i++)s=(a=-(0|this.words[i])+s)>>26,this.words[i]=67108863&a;return this.negative=1,this.strip()},a.prototype._wordDiv=function(t,e){var r=(this.length,t.length),n=this.clone(),i=t,o=0|i.words[i.length-1];0!=(r=26-this._countBits(o))&&(i=i.ushln(r),n.iushln(r),o=0|i.words[i.length-1]);var s,l=n.length-i.length;if(\"mod\"!==e){(s=new a(null)).length=l+1,s.words=new Array(s.length);for(var u=0;u<s.length;u++)s.words[u]=0}var c=n.clone()._ishlnsubmul(i,1,l);0===c.negative&&(n=c,s&&(s.words[l]=1));for(var f=l-1;f>=0;f--){var h=67108864*(0|n.words[i.length+f])+(0|n.words[i.length+f-1]);for(h=Math.min(h/o|0,67108863),n._ishlnsubmul(i,h,f);0!==n.negative;)h--,n.negative=0,n._ishlnsubmul(i,1,f),n.isZero()||(n.negative^=1);s&&(s.words[f]=h)}return s&&s.strip(),n.strip(),\"div\"!==e&&0!==r&&n.iushrn(r),{div:s||null,mod:n}},a.prototype.divmod=function(t,e,r){return n(!t.isZero()),this.isZero()?{div:new a(0),mod:new a(0)}:0!==this.negative&&0===t.negative?(s=this.neg().divmod(t,e),\"mod\"!==e&&(i=s.div.neg()),\"div\"!==e&&(o=s.mod.neg(),r&&0!==o.negative&&o.iadd(t)),{div:i,mod:o}):0===this.negative&&0!==t.negative?(s=this.divmod(t.neg(),e),\"mod\"!==e&&(i=s.div.neg()),{div:i,mod:s.mod}):0!=(this.negative&t.negative)?(s=this.neg().divmod(t.neg(),e),\"div\"!==e&&(o=s.mod.neg(),r&&0!==o.negative&&o.isub(t)),{div:s.div,mod:o}):t.length>this.length||this.cmp(t)<0?{div:new a(0),mod:this}:1===t.length?\"div\"===e?{div:this.divn(t.words[0]),mod:null}:\"mod\"===e?{div:null,mod:new a(this.modn(t.words[0]))}:{div:this.divn(t.words[0]),mod:new a(this.modn(t.words[0]))}:this._wordDiv(t,e);var i,o,s},a.prototype.div=function(t){return this.divmod(t,\"div\",!1).div},a.prototype.mod=function(t){return this.divmod(t,\"mod\",!1).mod},a.prototype.umod=function(t){return this.divmod(t,\"mod\",!0).mod},a.prototype.divRound=function(t){var e=this.divmod(t);if(e.mod.isZero())return e.div;var r=0!==e.div.negative?e.mod.isub(t):e.mod,n=t.ushrn(1),i=t.andln(1),a=r.cmp(n);return a<0||1===i&&0===a?e.div:0!==e.div.negative?e.div.isubn(1):e.div.iaddn(1)},a.prototype.modn=function(t){n(t<=67108863);for(var e=(1<<26)%t,r=0,i=this.length-1;i>=0;i--)r=(e*r+(0|this.words[i]))%t;return r},a.prototype.idivn=function(t){n(t<=67108863);for(var e=0,r=this.length-1;r>=0;r--){var i=(0|this.words[r])+67108864*e;this.words[r]=i/t|0,e=i%t}return this.strip()},a.prototype.divn=function(t){return this.clone().idivn(t)},a.prototype.egcd=function(t){n(0===t.negative),n(!t.isZero());var e=this,r=t.clone();e=0!==e.negative?e.umod(t):e.clone();for(var i=new a(1),o=new a(0),s=new a(0),l=new a(1),u=0;e.isEven()&&r.isEven();)e.iushrn(1),r.iushrn(1),++u;for(var c=r.clone(),f=e.clone();!e.isZero();){for(var h=0,p=1;0==(e.words[0]&p)&&h<26;++h,p<<=1);if(h>0)for(e.iushrn(h);h-- >0;)(i.isOdd()||o.isOdd())&&(i.iadd(c),o.isub(f)),i.iushrn(1),o.iushrn(1);for(var d=0,v=1;0==(r.words[0]&v)&&d<26;++d,v<<=1);if(d>0)for(r.iushrn(d);d-- >0;)(s.isOdd()||l.isOdd())&&(s.iadd(c),l.isub(f)),s.iushrn(1),l.iushrn(1);e.cmp(r)>=0?(e.isub(r),i.isub(s),o.isub(l)):(r.isub(e),s.isub(i),l.isub(o))}return{a:s,b:l,gcd:r.iushln(u)}},a.prototype._invmp=function(t){n(0===t.negative),n(!t.isZero());var e=this,r=t.clone();e=0!==e.negative?e.umod(t):e.clone();for(var i,o=new a(1),s=new a(0),l=r.clone();e.cmpn(1)>0&&r.cmpn(1)>0;){for(var u=0,c=1;0==(e.words[0]&c)&&u<26;++u,c<<=1);if(u>0)for(e.iushrn(u);u-- >0;)o.isOdd()&&o.iadd(l),o.iushrn(1);for(var f=0,h=1;0==(r.words[0]&h)&&f<26;++f,h<<=1);if(f>0)for(r.iushrn(f);f-- >0;)s.isOdd()&&s.iadd(l),s.iushrn(1);e.cmp(r)>=0?(e.isub(r),o.isub(s)):(r.isub(e),s.isub(o))}return(i=0===e.cmpn(1)?o:s).cmpn(0)<0&&i.iadd(t),i},a.prototype.gcd=function(t){if(this.isZero())return t.abs();if(t.isZero())return this.abs();var e=this.clone(),r=t.clone();e.negative=0,r.negative=0;for(var n=0;e.isEven()&&r.isEven();n++)e.iushrn(1),r.iushrn(1);for(;;){for(;e.isEven();)e.iushrn(1);for(;r.isEven();)r.iushrn(1);var i=e.cmp(r);if(i<0){var a=e;e=r,r=a}else if(0===i||0===r.cmpn(1))break;e.isub(r)}return r.iushln(n)},a.prototype.invm=function(t){return this.egcd(t).a.umod(t)},a.prototype.isEven=function(){return 0==(1&this.words[0])},a.prototype.isOdd=function(){return 1==(1&this.words[0])},a.prototype.andln=function(t){return this.words[0]&t},a.prototype.bincn=function(t){n(\"number\"==typeof t);var e=t%26,r=(t-e)/26,i=1<<e;if(this.length<=r)return this._expand(r+1),this.words[r]|=i,this;for(var a=i,o=r;0!==a&&o<this.length;o++){var s=0|this.words[o];a=(s+=a)>>>26,s&=67108863,this.words[o]=s}return 0!==a&&(this.words[o]=a,this.length++),this},a.prototype.isZero=function(){return 1===this.length&&0===this.words[0]},a.prototype.cmpn=function(t){var e,r=t<0;if(0!==this.negative&&!r)return-1;if(0===this.negative&&r)return 1;if(this.strip(),this.length>1)e=1;else{r&&(t=-t),n(t<=67108863,\"Number is too big\");var i=0|this.words[0];e=i===t?0:i<t?-1:1}return 0!==this.negative?0|-e:e},a.prototype.cmp=function(t){if(0!==this.negative&&0===t.negative)return-1;if(0===this.negative&&0!==t.negative)return 1;var e=this.ucmp(t);return 0!==this.negative?0|-e:e},a.prototype.ucmp=function(t){if(this.length>t.length)return 1;if(this.length<t.length)return-1;for(var e=0,r=this.length-1;r>=0;r--){var n=0|this.words[r],i=0|t.words[r];if(n!==i){n<i?e=-1:n>i&&(e=1);break}}return e},a.prototype.gtn=function(t){return 1===this.cmpn(t)},a.prototype.gt=function(t){return 1===this.cmp(t)},a.prototype.gten=function(t){return this.cmpn(t)>=0},a.prototype.gte=function(t){return this.cmp(t)>=0},a.prototype.ltn=function(t){return-1===this.cmpn(t)},a.prototype.lt=function(t){return-1===this.cmp(t)},a.prototype.lten=function(t){return this.cmpn(t)<=0},a.prototype.lte=function(t){return this.cmp(t)<=0},a.prototype.eqn=function(t){return 0===this.cmpn(t)},a.prototype.eq=function(t){return 0===this.cmp(t)},a.red=function(t){return new T(t)},a.prototype.toRed=function(t){return n(!this.red,\"Already a number in reduction context\"),n(0===this.negative,\"red works only with positives\"),t.convertTo(this)._forceRed(t)},a.prototype.fromRed=function(){return n(this.red,\"fromRed works only with numbers in reduction context\"),this.red.convertFrom(this)},a.prototype._forceRed=function(t){return this.red=t,this},a.prototype.forceRed=function(t){return n(!this.red,\"Already a number in reduction context\"),this._forceRed(t)},a.prototype.redAdd=function(t){return n(this.red,\"redAdd works only with red numbers\"),this.red.add(this,t)},a.prototype.redIAdd=function(t){return n(this.red,\"redIAdd works only with red numbers\"),this.red.iadd(this,t)},a.prototype.redSub=function(t){return n(this.red,\"redSub works only with red numbers\"),this.red.sub(this,t)},a.prototype.redISub=function(t){return n(this.red,\"redISub works only with red numbers\"),this.red.isub(this,t)},a.prototype.redShl=function(t){return n(this.red,\"redShl works only with red numbers\"),this.red.shl(this,t)},a.prototype.redMul=function(t){return n(this.red,\"redMul works only with red numbers\"),this.red._verify2(this,t),this.red.mul(this,t)},a.prototype.redIMul=function(t){return n(this.red,\"redMul works only with red numbers\"),this.red._verify2(this,t),this.red.imul(this,t)},a.prototype.redSqr=function(){return n(this.red,\"redSqr works only with red numbers\"),this.red._verify1(this),this.red.sqr(this)},a.prototype.redISqr=function(){return n(this.red,\"redISqr works only with red numbers\"),this.red._verify1(this),this.red.isqr(this)},a.prototype.redSqrt=function(){return n(this.red,\"redSqrt works only with red numbers\"),this.red._verify1(this),this.red.sqrt(this)},a.prototype.redInvm=function(){return n(this.red,\"redInvm works only with red numbers\"),this.red._verify1(this),this.red.invm(this)},a.prototype.redNeg=function(){return n(this.red,\"redNeg works only with red numbers\"),this.red._verify1(this),this.red.neg(this)},a.prototype.redPow=function(t){return n(this.red&&!t.red,\"redPow(normalNum)\"),this.red._verify1(this),this.red.pow(this,t)};var y={k256:null,p224:null,p192:null,p25519:null};function m(t,e){this.name=t,this.p=new a(e,16),this.n=this.p.bitLength(),this.k=new a(1).iushln(this.n).isub(this.p),this.tmp=this._tmp()}function x(){m.call(this,\"k256\",\"ffffffff ffffffff ffffffff ffffffff ffffffff ffffffff fffffffe fffffc2f\")}function b(){m.call(this,\"p224\",\"ffffffff ffffffff ffffffff ffffffff 00000000 00000000 00000001\")}function _(){m.call(this,\"p192\",\"ffffffff ffffffff ffffffff fffffffe ffffffff ffffffff\")}function w(){m.call(this,\"25519\",\"7fffffffffffffff ffffffffffffffff ffffffffffffffff ffffffffffffffed\")}function T(t){if(\"string\"==typeof t){var e=a._prime(t);this.m=e.p,this.prime=e}else n(t.gtn(1),\"modulus must be greater than 1\"),this.m=t,this.prime=null}function k(t){T.call(this,t),this.shift=this.m.bitLength(),this.shift%26!=0&&(this.shift+=26-this.shift%26),this.r=new a(1).iushln(this.shift),this.r2=this.imod(this.r.sqr()),this.rinv=this.r._invmp(this.m),this.minv=this.rinv.mul(this.r).isubn(1).div(this.m),this.minv=this.minv.umod(this.r),this.minv=this.r.sub(this.minv)}m.prototype._tmp=function(){var t=new a(null);return t.words=new Array(Math.ceil(this.n/13)),t},m.prototype.ireduce=function(t){var e,r=t;do{this.split(r,this.tmp),e=(r=(r=this.imulK(r)).iadd(this.tmp)).bitLength()}while(e>this.n);var n=e<this.n?-1:r.ucmp(this.p);return 0===n?(r.words[0]=0,r.length=1):n>0?r.isub(this.p):void 0!==r.strip?r.strip():r._strip(),r},m.prototype.split=function(t,e){t.iushrn(this.n,0,e)},m.prototype.imulK=function(t){return t.imul(this.k)},i(x,m),x.prototype.split=function(t,e){for(var r=4194303,n=Math.min(t.length,9),i=0;i<n;i++)e.words[i]=t.words[i];if(e.length=n,t.length<=9)return t.words[0]=0,void(t.length=1);var a=t.words[9];for(e.words[e.length++]=a&r,i=10;i<t.length;i++){var o=0|t.words[i];t.words[i-10]=(o&r)<<4|a>>>22,a=o}a>>>=22,t.words[i-10]=a,0===a&&t.length>10?t.length-=10:t.length-=9},x.prototype.imulK=function(t){t.words[t.length]=0,t.words[t.length+1]=0,t.length+=2;for(var e=0,r=0;r<t.length;r++){var n=0|t.words[r];e+=977*n,t.words[r]=67108863&e,e=64*n+(e/67108864|0)}return 0===t.words[t.length-1]&&(t.length--,0===t.words[t.length-1]&&t.length--),t},i(b,m),i(_,m),i(w,m),w.prototype.imulK=function(t){for(var e=0,r=0;r<t.length;r++){var n=19*(0|t.words[r])+e,i=67108863&n;n>>>=26,t.words[r]=i,e=n}return 0!==e&&(t.words[t.length++]=e),t},a._prime=function(t){if(y[t])return y[t];var e;if(\"k256\"===t)e=new x;else if(\"p224\"===t)e=new b;else if(\"p192\"===t)e=new _;else{if(\"p25519\"!==t)throw new Error(\"Unknown prime \"+t);e=new w}return y[t]=e,e},T.prototype._verify1=function(t){n(0===t.negative,\"red works only with positives\"),n(t.red,\"red works only with red numbers\")},T.prototype._verify2=function(t,e){n(0==(t.negative|e.negative),\"red works only with positives\"),n(t.red&&t.red===e.red,\"red works only with red numbers\")},T.prototype.imod=function(t){return this.prime?this.prime.ireduce(t)._forceRed(this):t.umod(this.m)._forceRed(this)},T.prototype.neg=function(t){return t.isZero()?t.clone():this.m.sub(t)._forceRed(this)},T.prototype.add=function(t,e){this._verify2(t,e);var r=t.add(e);return r.cmp(this.m)>=0&&r.isub(this.m),r._forceRed(this)},T.prototype.iadd=function(t,e){this._verify2(t,e);var r=t.iadd(e);return r.cmp(this.m)>=0&&r.isub(this.m),r},T.prototype.sub=function(t,e){this._verify2(t,e);var r=t.sub(e);return r.cmpn(0)<0&&r.iadd(this.m),r._forceRed(this)},T.prototype.isub=function(t,e){this._verify2(t,e);var r=t.isub(e);return r.cmpn(0)<0&&r.iadd(this.m),r},T.prototype.shl=function(t,e){return this._verify1(t),this.imod(t.ushln(e))},T.prototype.imul=function(t,e){return this._verify2(t,e),this.imod(t.imul(e))},T.prototype.mul=function(t,e){return this._verify2(t,e),this.imod(t.mul(e))},T.prototype.isqr=function(t){return this.imul(t,t.clone())},T.prototype.sqr=function(t){return this.mul(t,t)},T.prototype.sqrt=function(t){if(t.isZero())return t.clone();var e=this.m.andln(3);if(n(e%2==1),3===e){var r=this.m.add(new a(1)).iushrn(2);return this.pow(t,r)}for(var i=this.m.subn(1),o=0;!i.isZero()&&0===i.andln(1);)o++,i.iushrn(1);n(!i.isZero());var s=new a(1).toRed(this),l=s.redNeg(),u=this.m.subn(1).iushrn(1),c=this.m.bitLength();for(c=new a(2*c*c).toRed(this);0!==this.pow(c,u).cmp(l);)c.redIAdd(l);for(var f=this.pow(c,i),h=this.pow(t,i.addn(1).iushrn(1)),p=this.pow(t,i),d=o;0!==p.cmp(s);){for(var v=p,g=0;0!==v.cmp(s);g++)v=v.redSqr();n(g<d);var y=this.pow(f,new a(1).iushln(d-g-1));h=h.redMul(y),f=y.redSqr(),p=p.redMul(f),d=g}return h},T.prototype.invm=function(t){var e=t._invmp(this.m);return 0!==e.negative?(e.negative=0,this.imod(e).redNeg()):this.imod(e)},T.prototype.pow=function(t,e){if(e.isZero())return new a(1).toRed(this);if(0===e.cmpn(1))return t.clone();var r=new Array(16);r[0]=new a(1).toRed(this),r[1]=t;for(var n=2;n<r.length;n++)r[n]=this.mul(r[n-1],t);var i=r[0],o=0,s=0,l=e.bitLength()%26;for(0===l&&(l=26),n=e.length-1;n>=0;n--){for(var u=e.words[n],c=l-1;c>=0;c--){var 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s=(o=a.left=r(o)).right=r(o.right),a.left=s.right,o.right=s.left,s.right=a,s.left=o,s._color=a._color,a._color=1,o._color=1,e._color=1,i(a),i(o),i(s),l>1&&((u=t[l-2]).right===a?u.right=s:u.left=s),void(t[l-1]=s);if(1===o._color){if(0===a._color)return a._color=1,void(a.left=n(0,o));a.left=n(0,o);continue}var u;o=r(o),a.left=o.right,o.right=a,o._color=a._color,a._color=0,i(a),i(o),l>1&&((u=t[l-2]).right===a?u.right=o:u.left=o),t[l-1]=o,t[l]=a,l+1<t.length?t[l+1]=e:t.push(e),l+=2}}}(o),p.left===s?p.left=null:p.right=null,new a(this.tree._compare,o[0])},Object.defineProperty(f,\"key\",{get:function(){if(this._stack.length>0)return this._stack[this._stack.length-1].key},enumerable:!0}),Object.defineProperty(f,\"value\",{get:function(){if(this._stack.length>0)return this._stack[this._stack.length-1].value},enumerable:!0}),Object.defineProperty(f,\"index\",{get:function(){var t=0,e=this._stack;if(0===e.length){var r=this.tree.root;return r?r._count:0}e[e.length-1].left&&(t=e[e.length-1].left._count);for(var n=e.length-2;n>=0;--n)e[n+1]===e[n].right&&(++t,e[n].left&&(t+=e[n].left._count));return t},enumerable:!0}),f.next=function(){var t=this._stack;if(0!==t.length){var e=t[t.length-1];if(e.right)for(e=e.right;e;)t.push(e),e=e.left;else for(t.pop();t.length>0&&t[t.length-1].right===e;)e=t[t.length-1],t.pop()}},Object.defineProperty(f,\"hasNext\",{get:function(){var t=this._stack;if(0===t.length)return!1;if(t[t.length-1].right)return!0;for(var e=t.length-1;e>0;--e)if(t[e-1].left===t[e])return!0;return!1}}),f.update=function(t){var r=this._stack;if(0===r.length)throw new Error(\"Can't update empty node!\");var n=new Array(r.length),i=r[r.length-1];n[n.length-1]=new e(i._color,i.key,t,i.left,i.right,i._count);for(var o=r.length-2;o>=0;--o)(i=r[o]).left===r[o+1]?n[o]=new e(i._color,i.key,i.value,n[o+1],i.right,i._count):n[o]=new e(i._color,i.key,i.value,i.left,n[o+1],i._count);return new a(this.tree._compare,n[0])},f.prev=function(){var t=this._stack;if(0!==t.length){var e=t[t.length-1];if(e.left)for(e=e.left;e;)t.push(e),e=e.right;else for(t.pop();t.length>0&&t[t.length-1].left===e;)e=t[t.length-1],t.pop()}},Object.defineProperty(f,\"hasPrev\",{get:function(){var t=this._stack;if(0===t.length)return!1;if(t[t.length-1].left)return!0;for(var e=t.length-1;e>0;--e)if(t[e-1].right===t[e])return!0;return!1}})},7453:function(t,e,r){\"use strict\";t.exports=function(t,e){var r=new c(t);return r.update(e),r};var n=r(9557),i=r(1681),a=r(1011),o=r(2864),s=r(8468),l=new Float32Array([1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1]);function u(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t}function c(t){this.gl=t,this.pixelRatio=1,this.bounds=[[-10,-10,-10],[10,10,10]],this.ticks=[[],[],[]],this.autoTicks=!0,this.tickSpacing=[1,1,1],this.tickEnable=[!0,!0,!0],this.tickFont=[\"sans-serif\",\"sans-serif\",\"sans-serif\"],this.tickSize=[12,12,12],this.tickAngle=[0,0,0],this.tickAlign=[\"auto\",\"auto\",\"auto\"],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickPad=[10,10,10],this.lastCubeProps={cubeEdges:[0,0,0],axis:[0,0,0]},this.labels=[\"x\",\"y\",\"z\"],this.labelEnable=[!0,!0,!0],this.labelFont=\"sans-serif\",this.labelSize=[20,20,20],this.labelAngle=[0,0,0],this.labelAlign=[\"auto\",\"auto\",\"auto\"],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labelPad=[10,10,10],this.lineEnable=[!0,!0,!0],this.lineMirror=[!1,!1,!1],this.lineWidth=[1,1,1],this.lineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.lineTickEnable=[!0,!0,!0],this.lineTickMirror=[!1,!1,!1],this.lineTickLength=[0,0,0],this.lineTickWidth=[1,1,1],this.lineTickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.gridEnable=[!0,!0,!0],this.gridWidth=[1,1,1],this.gridColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroEnable=[!0,!0,!0],this.zeroLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroLineWidth=[2,2,2],this.backgroundEnable=[!1,!1,!1],this.backgroundColor=[[.8,.8,.8,.5],[.8,.8,.8,.5],[.8,.8,.8,.5]],this._firstInit=!0,this._text=null,this._lines=null,this._background=a(t)}var f=c.prototype;function h(){this.primalOffset=[0,0,0],this.primalMinor=[0,0,0],this.mirrorOffset=[0,0,0],this.mirrorMinor=[0,0,0]}f.update=function(t){function e(e,r,n){if(n in t){var i,a=t[n],o=this[n];(e?Array.isArray(a)&&Array.isArray(a[0]):Array.isArray(a))?this[n]=i=[r(a[0]),r(a[1]),r(a[2])]:this[n]=i=[r(a),r(a),r(a)];for(var s=0;s<3;++s)if(i[s]!==o[s])return!0}return!1}t=t||{};var r,a=e.bind(this,!1,Number),o=e.bind(this,!1,Boolean),l=e.bind(this,!1,String),u=e.bind(this,!0,(function(t){if(Array.isArray(t)){if(3===t.length)return[+t[0],+t[1],+t[2],1];if(4===t.length)return[+t[0],+t[1],+t[2],+t[3]]}return[0,0,0,1]})),c=!1,f=!1;if(\"bounds\"in t)for(var h=t.bounds,p=0;p<2;++p)for(var d=0;d<3;++d)h[p][d]!==this.bounds[p][d]&&(f=!0),this.bounds[p][d]=h[p][d];if(\"ticks\"in t)for(r=t.ticks,c=!0,this.autoTicks=!1,p=0;p<3;++p)this.tickSpacing[p]=0;else a(\"tickSpacing\")&&(this.autoTicks=!0,f=!0);if(this._firstInit&&(\"ticks\"in t||\"tickSpacing\"in t||(this.autoTicks=!0),f=!0,c=!0,this._firstInit=!1),f&&this.autoTicks&&(r=s.create(this.bounds,this.tickSpacing),c=!0),c){for(p=0;p<3;++p)r[p].sort((function(t,e){return t.x-e.x}));s.equal(r,this.ticks)?c=!1:this.ticks=r}o(\"tickEnable\"),l(\"tickFont\")&&(c=!0),a(\"tickSize\"),a(\"tickAngle\"),a(\"tickPad\"),u(\"tickColor\");var v=l(\"labels\");l(\"labelFont\")&&(v=!0),o(\"labelEnable\"),a(\"labelSize\"),a(\"labelPad\"),u(\"labelColor\"),o(\"lineEnable\"),o(\"lineMirror\"),a(\"lineWidth\"),u(\"lineColor\"),o(\"lineTickEnable\"),o(\"lineTickMirror\"),a(\"lineTickLength\"),a(\"lineTickWidth\"),u(\"lineTickColor\"),o(\"gridEnable\"),a(\"gridWidth\"),u(\"gridColor\"),o(\"zeroEnable\"),u(\"zeroLineColor\"),a(\"zeroLineWidth\"),o(\"backgroundEnable\"),u(\"backgroundColor\"),this._text?this._text&&(v||c)&&this._text.update(this.bounds,this.labels,this.labelFont,this.ticks,this.tickFont):this._text=n(this.gl,this.bounds,this.labels,this.labelFont,this.ticks,this.tickFont),this._lines&&c&&(this._lines.dispose(),this._lines=null),this._lines||(this._lines=i(this.gl,this.bounds,this.ticks))};var p=[new h,new h,new h];function d(t,e,r,n,i){for(var a=t.primalOffset,o=t.primalMinor,s=t.mirrorOffset,l=t.mirrorMinor,u=n[e],c=0;c<3;++c)if(e!==c){var f=a,h=s,p=o,d=l;u&1<<c&&(f=s,h=a,p=l,d=o),f[c]=r[0][c],h[c]=r[1][c],i[c]>0?(p[c]=-1,d[c]=0):(p[c]=0,d[c]=1)}}var v=[0,0,0],g={model:l,view:l,projection:l,_ortho:!1};f.isOpaque=function(){return!0},f.isTransparent=function(){return!1},f.drawTransparent=function(t){};var y=[0,0,0],m=[0,0,0],x=[0,0,0];f.draw=function(t){t=t||g;for(var e=this.gl,r=t.model||l,n=t.view||l,i=t.projection||l,a=this.bounds,s=t._ortho||!1,c=o(r,n,i,a,s),f=c.cubeEdges,h=c.axis,b=n[12],_=n[13],w=n[14],T=n[15],k=(s?2:1)*this.pixelRatio*(i[3]*b+i[7]*_+i[11]*w+i[15]*T)/e.drawingBufferHeight,A=0;A<3;++A)this.lastCubeProps.cubeEdges[A]=f[A],this.lastCubeProps.axis[A]=h[A];var M=p;for(A=0;A<3;++A)d(p[A],A,this.bounds,f,h);e=this.gl;var S,E,L,C=v;for(A=0;A<3;++A)this.backgroundEnable[A]?C[A]=h[A]:C[A]=0;for(this._background.draw(r,n,i,a,C,this.backgroundColor),this._lines.bind(r,n,i,this),A=0;A<3;++A){var P=[0,0,0];h[A]>0?P[A]=a[1][A]:P[A]=a[0][A];for(var O=0;O<2;++O){var I=(A+1+O)%3,D=(A+1+(1^O))%3;this.gridEnable[I]&&this._lines.drawGrid(I,D,this.bounds,P,this.gridColor[I],this.gridWidth[I]*this.pixelRatio)}for(O=0;O<2;++O)I=(A+1+O)%3,D=(A+1+(1^O))%3,this.zeroEnable[D]&&Math.min(a[0][D],a[1][D])<=0&&Math.max(a[0][D],a[1][D])>=0&&this._lines.drawZero(I,D,this.bounds,P,this.zeroLineColor[D],this.zeroLineWidth[D]*this.pixelRatio)}for(A=0;A<3;++A){this.lineEnable[A]&&this._lines.drawAxisLine(A,this.bounds,M[A].primalOffset,this.lineColor[A],this.lineWidth[A]*this.pixelRatio),this.lineMirror[A]&&this._lines.drawAxisLine(A,this.bounds,M[A].mirrorOffset,this.lineColor[A],this.lineWidth[A]*this.pixelRatio);var z=u(y,M[A].primalMinor),R=u(m,M[A].mirrorMinor),F=this.lineTickLength;for(O=0;O<3;++O){var B=k/r[5*O];z[O]*=F[O]*B,R[O]*=F[O]*B}this.lineTickEnable[A]&&this._lines.drawAxisTicks(A,M[A].primalOffset,z,this.lineTickColor[A],this.lineTickWidth[A]*this.pixelRatio),this.lineTickMirror[A]&&this._lines.drawAxisTicks(A,M[A].mirrorOffset,R,this.lineTickColor[A],this.lineTickWidth[A]*this.pixelRatio)}function N(t){(L=[0,0,0])[t]=1}function j(t,e,r){var n=(t+1)%3,i=(t+2)%3,a=e[n],o=e[i],s=r[n],l=r[i];a>0&&l>0||a>0&&l<0||a<0&&l>0||a<0&&l<0?N(n):(o>0&&s>0||o>0&&s<0||o<0&&s>0||o<0&&s<0)&&N(i)}for(this._lines.unbind(),this._text.bind(r,n,i,this.pixelRatio),A=0;A<3;++A){var U=M[A].primalMinor,V=M[A].mirrorMinor,H=u(x,M[A].primalOffset);for(O=0;O<3;++O)this.lineTickEnable[A]&&(H[O]+=k*U[O]*Math.max(this.lineTickLength[O],0)/r[5*O]);var q=[0,0,0];if(q[A]=1,this.tickEnable[A]){for(-3600===this.tickAngle[A]?(this.tickAngle[A]=0,this.tickAlign[A]=\"auto\"):this.tickAlign[A]=-1,E=1,\"auto\"===(S=[this.tickAlign[A],.5,E])[0]?S[0]=0:S[0]=parseInt(\"\"+S[0]),L=[0,0,0],j(A,U,V),O=0;O<3;++O)H[O]+=k*U[O]*this.tickPad[O]/r[5*O];this._text.drawTicks(A,this.tickSize[A],this.tickAngle[A],H,this.tickColor[A],q,L,S)}if(this.labelEnable[A]){for(E=0,L=[0,0,0],this.labels[A].length>4&&(N(A),E=1),\"auto\"===(S=[this.labelAlign[A],.5,E])[0]?S[0]=0:S[0]=parseInt(\"\"+S[0]),O=0;O<3;++O)H[O]+=k*U[O]*this.labelPad[O]/r[5*O];H[A]+=.5*(a[0][A]+a[1][A]),this._text.drawLabel(A,this.labelSize[A],this.labelAngle[A],H,this.labelColor[A],[0,0,0],L,S)}}this._text.unbind()},f.dispose=function(){this._text.dispose(),this._lines.dispose(),this._background.dispose(),this._lines=null,this._text=null,this._background=null,this.gl=null}},1011:function(t,e,r){\"use strict\";t.exports=function(t){for(var e=[],r=[],s=0,l=0;l<3;++l)for(var u=(l+1)%3,c=(l+2)%3,f=[0,0,0],h=[0,0,0],p=-1;p<=1;p+=2){r.push(s,s+2,s+1,s+1,s+2,s+3),f[l]=p,h[l]=p;for(var d=-1;d<=1;d+=2){f[u]=d;for(var v=-1;v<=1;v+=2)f[c]=v,e.push(f[0],f[1],f[2],h[0],h[1],h[2]),s+=1}var g=u;u=c,c=g}var y=n(t,new Float32Array(e)),m=n(t,new Uint16Array(r),t.ELEMENT_ARRAY_BUFFER),x=i(t,[{buffer:y,type:t.FLOAT,size:3,offset:0,stride:24},{buffer:y,type:t.FLOAT,size:3,offset:12,stride:24}],m),b=a(t);return b.attributes.position.location=0,b.attributes.normal.location=1,new o(t,y,x,b)};var n=r(5827),i=r(2944),a=r(1943).bg;function o(t,e,r,n){this.gl=t,this.buffer=e,this.vao=r,this.shader=n}var s=o.prototype;s.draw=function(t,e,r,n,i,a){for(var o=!1,s=0;s<3;++s)o=o||i[s];if(o){var l=this.gl;l.enable(l.POLYGON_OFFSET_FILL),l.polygonOffset(1,2),this.shader.bind(),this.shader.uniforms={model:t,view:e,projection:r,bounds:n,enable:i,colors:a},this.vao.bind(),this.vao.draw(this.gl.TRIANGLES,36),this.vao.unbind(),l.disable(l.POLYGON_OFFSET_FILL)}},s.dispose=function(){this.vao.dispose(),this.buffer.dispose(),this.shader.dispose()}},2864:function(t,e,r){\"use strict\";t.exports=function(t,e,r,a,p){i(s,e,t),i(s,r,s);for(var m=0,x=0;x<2;++x){c[2]=a[x][2];for(var b=0;b<2;++b){c[1]=a[b][1];for(var _=0;_<2;++_)c[0]=a[_][0],h(l[m],c,s),m+=1}}var w=-1;for(x=0;x<8;++x){for(var T=l[x][3],k=0;k<3;++k)u[x][k]=l[x][k]/T;p&&(u[x][2]*=-1),T<0&&(w<0||u[x][2]<u[w][2])&&(w=x)}if(w<0){w=0;for(var A=0;A<3;++A){for(var M=(A+2)%3,S=(A+1)%3,E=-1,L=-1,C=0;C<2;++C){var P=(I=C<<A)+(C<<M)+(1-C<<S),O=I+(1-C<<M)+(C<<S);o(u[I],u[P],u[O],f)<0||(C?E=1:L=1)}if(E<0||L<0)L>E&&(w|=1<<A);else{for(C=0;C<2;++C){P=(I=C<<A)+(C<<M)+(1-C<<S),O=I+(1-C<<M)+(C<<S);var I,D=d([l[I],l[P],l[O],l[I+(1<<M)+(1<<S)]]);C?E=D:L=D}L>E&&(w|=1<<A)}}}var z=7^w,R=-1;for(x=0;x<8;++x)x!==w&&x!==z&&(R<0||u[R][1]>u[x][1])&&(R=x);var F=-1;for(x=0;x<3;++x)(N=R^1<<x)!==w&&N!==z&&(F<0&&(F=N),(S=u[N])[0]<u[F][0]&&(F=N));var B=-1;for(x=0;x<3;++x){var N;(N=R^1<<x)!==w&&N!==z&&N!==F&&(B<0&&(B=N),(S=u[N])[0]>u[B][0]&&(B=N))}var j=v;j[0]=j[1]=j[2]=0,j[n.log2(F^R)]=R&F,j[n.log2(R^B)]=R&B;var U=7^B;U===w||U===z?(U=7^F,j[n.log2(B^U)]=U&B):j[n.log2(F^U)]=U&F;var V=g,H=w;for(A=0;A<3;++A)V[A]=H&1<<A?-1:1;return y};var n=r(2288),i=r(104),a=r(4670),o=r(417),s=new Array(16),l=new Array(8),u=new Array(8),c=new Array(3),f=[0,0,0];function h(t,e,r){for(var n=0;n<4;++n){t[n]=r[12+n];for(var i=0;i<3;++i)t[n]+=e[i]*r[4*i+n]}}!function(){for(var t=0;t<8;++t)l[t]=[1,1,1,1],u[t]=[1,1,1]}();var p=[[0,0,1,0,0],[0,0,-1,1,0],[0,-1,0,1,0],[0,1,0,1,0],[-1,0,0,1,0],[1,0,0,1,0]];function d(t){for(var e=0;e<p.length;++e)if((t=a.positive(t,p[e])).length<3)return 0;var r=t[0],n=r[0]/r[3],i=r[1]/r[3],o=0;for(e=1;e+1<t.length;++e){var s=t[e],l=t[e+1],u=s[0]/s[3]-n,c=s[1]/s[3]-i,f=l[0]/l[3]-n,h=l[1]/l[3]-i;o+=Math.abs(u*h-c*f)}return o}var v=[1,1,1],g=[0,0,0],y={cubeEdges:v,axis:g}},1681:function(t,e,r){\"use strict\";t.exports=function(t,e,r){var o=[],s=[0,0,0],l=[0,0,0],u=[0,0,0],c=[0,0,0];o.push(0,0,1,0,1,1,0,0,-1,0,0,-1,0,1,1,0,1,-1);for(var f=0;f<3;++f){for(var h=o.length/3|0,d=0;d<r[f].length;++d){var v=+r[f][d].x;o.push(v,0,1,v,1,1,v,0,-1,v,0,-1,v,1,1,v,1,-1)}var g=o.length/3|0;s[f]=h,l[f]=g-h,h=o.length/3|0;for(var y=0;y<r[f].length;++y)v=+r[f][y].x,o.push(v,0,1,v,1,1,v,0,-1,v,0,-1,v,1,1,v,1,-1);g=o.length/3|0,u[f]=h,c[f]=g-h}var m=n(t,new Float32Array(o)),x=i(t,[{buffer:m,type:t.FLOAT,size:3,stride:0,offset:0}]),b=a(t);return b.attributes.position.location=0,new p(t,m,x,b,l,s,c,u)};var n=r(5827),i=r(2944),a=r(1943).j,o=[0,0,0],s=[0,0,0],l=[0,0,0],u=[0,0,0],c=[1,1];function f(t){return t[0]=t[1]=t[2]=0,t}function h(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t}function p(t,e,r,n,i,a,o,s){this.gl=t,this.vertBuffer=e,this.vao=r,this.shader=n,this.tickCount=i,this.tickOffset=a,this.gridCount=o,this.gridOffset=s}var d=p.prototype;d.bind=function(t,e,r){this.shader.bind(),this.shader.uniforms.model=t,this.shader.uniforms.view=e,this.shader.uniforms.projection=r,c[0]=this.gl.drawingBufferWidth,c[1]=this.gl.drawingBufferHeight,this.shader.uniforms.screenShape=c,this.vao.bind()},d.unbind=function(){this.vao.unbind()},d.drawAxisLine=function(t,e,r,n,i){var a=f(s);this.shader.uniforms.majorAxis=s,a[t]=e[1][t]-e[0][t],this.shader.uniforms.minorAxis=a;var o,c=h(u,r);c[t]+=e[0][t],this.shader.uniforms.offset=c,this.shader.uniforms.lineWidth=i,this.shader.uniforms.color=n,(o=f(l))[(t+2)%3]=1,this.shader.uniforms.screenAxis=o,this.vao.draw(this.gl.TRIANGLES,6),(o=f(l))[(t+1)%3]=1,this.shader.uniforms.screenAxis=o,this.vao.draw(this.gl.TRIANGLES,6)},d.drawAxisTicks=function(t,e,r,n,i){if(this.tickCount[t]){var a=f(o);a[t]=1,this.shader.uniforms.majorAxis=a,this.shader.uniforms.offset=e,this.shader.uniforms.minorAxis=r,this.shader.uniforms.color=n,this.shader.uniforms.lineWidth=i;var s=f(l);s[t]=1,this.shader.uniforms.screenAxis=s,this.vao.draw(this.gl.TRIANGLES,this.tickCount[t],this.tickOffset[t])}},d.drawGrid=function(t,e,r,n,i,a){if(this.gridCount[t]){var c=f(s);c[e]=r[1][e]-r[0][e],this.shader.uniforms.minorAxis=c;var p=h(u,n);p[e]+=r[0][e],this.shader.uniforms.offset=p;var d=f(o);d[t]=1,this.shader.uniforms.majorAxis=d;var v=f(l);v[t]=1,this.shader.uniforms.screenAxis=v,this.shader.uniforms.lineWidth=a,this.shader.uniforms.color=i,this.vao.draw(this.gl.TRIANGLES,this.gridCount[t],this.gridOffset[t])}},d.drawZero=function(t,e,r,n,i,a){var o=f(s);this.shader.uniforms.majorAxis=o,o[t]=r[1][t]-r[0][t],this.shader.uniforms.minorAxis=o;var c=h(u,n);c[t]+=r[0][t],this.shader.uniforms.offset=c;var p=f(l);p[e]=1,this.shader.uniforms.screenAxis=p,this.shader.uniforms.lineWidth=a,this.shader.uniforms.color=i,this.vao.draw(this.gl.TRIANGLES,6)},d.dispose=function(){this.vao.dispose(),this.vertBuffer.dispose(),this.shader.dispose()}},1943:function(t,e,r){\"use strict\";var n=r(6832),i=r(5158),a=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 offset, majorAxis, minorAxis, screenAxis;\\nuniform float lineWidth;\\nuniform vec2 screenShape;\\n\\nvec3 project(vec3 p) {\\n  vec4 pp = projection * view * model * vec4(p, 1.0);\\n  return pp.xyz / max(pp.w, 0.0001);\\n}\\n\\nvoid main() {\\n  vec3 major = position.x * majorAxis;\\n  vec3 minor = position.y * minorAxis;\\n\\n  vec3 vPosition = major + minor + offset;\\n  vec3 pPosition = project(vPosition);\\n  vec3 offset = project(vPosition + screenAxis * position.z);\\n\\n  vec2 screen = normalize((offset - pPosition).xy * screenShape) / screenShape;\\n\\n  gl_Position = vec4(pPosition + vec3(0.5 * screen * lineWidth, 0), 1.0);\\n}\\n\"]),o=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color;\\nvoid main() {\\n  gl_FragColor = color;\\n}\"]);e.j=function(t){return i(t,a,o,null,[{name:\"position\",type:\"vec3\"}])};var s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 offset, axis, alignDir, alignOpt;\\nuniform float scale, angle, pixelScale;\\nuniform vec2 resolution;\\n\\nvec3 project(vec3 p) {\\n  vec4 pp = projection * view * model * vec4(p, 1.0);\\n  return pp.xyz / max(pp.w, 0.0001);\\n}\\n\\nfloat computeViewAngle(vec3 a, vec3 b) {\\n  vec3 A = project(a);\\n  vec3 B = project(b);\\n\\n  return atan(\\n    (B.y - A.y) * resolution.y,\\n    (B.x - A.x) * resolution.x\\n  );\\n}\\n\\nconst float PI = 3.141592;\\nconst float TWO_PI = 2.0 * PI;\\nconst float HALF_PI = 0.5 * PI;\\nconst float ONE_AND_HALF_PI = 1.5 * PI;\\n\\nint option = int(floor(alignOpt.x + 0.001));\\nfloat hv_ratio =       alignOpt.y;\\nbool enableAlign =    (alignOpt.z != 0.0);\\n\\nfloat mod_angle(float a) {\\n  return mod(a, PI);\\n}\\n\\nfloat positive_angle(float a) {\\n  return mod_angle((a < 0.0) ?\\n    a + TWO_PI :\\n    a\\n  );\\n}\\n\\nfloat look_upwards(float a) {\\n  float b = positive_angle(a);\\n  return ((b > HALF_PI) && (b <= ONE_AND_HALF_PI)) ?\\n    b - PI :\\n    b;\\n}\\n\\nfloat look_horizontal_or_vertical(float a, float ratio) {\\n  // ratio controls the ratio between being horizontal to (vertical + horizontal)\\n  // if ratio is set to 0.5 then it is 50%, 50%.\\n  // when using a higher ratio e.g. 0.75 the result would\\n  // likely be more horizontal than vertical.\\n\\n  float b = positive_angle(a);\\n\\n  return\\n    (b < (      ratio) * HALF_PI) ? 0.0 :\\n    (b < (2.0 - ratio) * HALF_PI) ? -HALF_PI :\\n    (b < (2.0 + ratio) * HALF_PI) ? 0.0 :\\n    (b < (4.0 - ratio) * HALF_PI) ? HALF_PI :\\n                                    0.0;\\n}\\n\\nfloat roundTo(float a, float b) {\\n  return float(b * floor((a + 0.5 * b) / b));\\n}\\n\\nfloat look_round_n_directions(float a, int n) {\\n  float b = positive_angle(a);\\n  float div = TWO_PI / float(n);\\n  float c = roundTo(b, div);\\n  return look_upwards(c);\\n}\\n\\nfloat applyAlignOption(float rawAngle, float delta) {\\n  return\\n    (option >  2) ? look_round_n_directions(rawAngle + delta, option) :       // option 3-n: round to n directions\\n    (option == 2) ? look_horizontal_or_vertical(rawAngle + delta, hv_ratio) : // horizontal or vertical\\n    (option == 1) ? rawAngle + delta :       // use free angle, and flip to align with one direction of the axis\\n    (option == 0) ? look_upwards(rawAngle) : // use free angle, and stay upwards\\n    (option ==-1) ? 0.0 :                    // useful for backward compatibility, all texts remains horizontal\\n                    rawAngle;                // otherwise return back raw input angle\\n}\\n\\nbool isAxisTitle = (axis.x == 0.0) &&\\n                   (axis.y == 0.0) &&\\n                   (axis.z == 0.0);\\n\\nvoid main() {\\n  //Compute world offset\\n  float axisDistance = position.z;\\n  vec3 dataPosition = axisDistance * axis + offset;\\n\\n  float beta = angle; // i.e. user defined attributes for each tick\\n\\n  float axisAngle;\\n  float clipAngle;\\n  float flip;\\n\\n  if (enableAlign) {\\n    axisAngle = (isAxisTitle) ? HALF_PI :\\n                      computeViewAngle(dataPosition, dataPosition + axis);\\n    clipAngle = computeViewAngle(dataPosition, dataPosition + alignDir);\\n\\n    axisAngle += (sin(axisAngle) < 0.0) ? PI : 0.0;\\n    clipAngle += (sin(clipAngle) < 0.0) ? PI : 0.0;\\n\\n    flip = (dot(vec2(cos(axisAngle), sin(axisAngle)),\\n                vec2(sin(clipAngle),-cos(clipAngle))) > 0.0) ? 1.0 : 0.0;\\n\\n    beta += applyAlignOption(clipAngle, flip * PI);\\n  }\\n\\n  //Compute plane offset\\n  vec2 planeCoord = position.xy * pixelScale;\\n\\n  mat2 planeXform = scale * mat2(\\n     cos(beta), sin(beta),\\n    -sin(beta), cos(beta)\\n  );\\n\\n  vec2 viewOffset = 2.0 * planeXform * planeCoord / resolution;\\n\\n  //Compute clip position\\n  vec3 clipPosition = project(dataPosition);\\n\\n  //Apply text offset in clip coordinates\\n  clipPosition += vec3(viewOffset, 0.0);\\n\\n  //Done\\n  gl_Position = vec4(clipPosition, 1.0);\\n}\"]),l=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color;\\nvoid main() {\\n  gl_FragColor = color;\\n}\"]);e.f=function(t){return i(t,s,l,null,[{name:\"position\",type:\"vec3\"}])};var u=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\nattribute vec3 normal;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 enable;\\nuniform vec3 bounds[2];\\n\\nvarying vec3 colorChannel;\\n\\nvoid main() {\\n\\n  vec3 signAxis = sign(bounds[1] - bounds[0]);\\n\\n  vec3 realNormal = signAxis * normal;\\n\\n  if(dot(realNormal, enable) > 0.0) {\\n    vec3 minRange = min(bounds[0], bounds[1]);\\n    vec3 maxRange = max(bounds[0], bounds[1]);\\n    vec3 nPosition = mix(minRange, maxRange, 0.5 * (position + 1.0));\\n    gl_Position = projection * view * model * vec4(nPosition, 1.0);\\n  } else {\\n    gl_Position = vec4(0,0,0,0);\\n  }\\n\\n  colorChannel = abs(realNormal);\\n}\"]),c=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform vec4 colors[3];\\n\\nvarying vec3 colorChannel;\\n\\nvoid main() {\\n  gl_FragColor = colorChannel.x * colors[0] +\\n                 colorChannel.y * colors[1] +\\n                 colorChannel.z * colors[2];\\n}\"]);e.bg=function(t){return i(t,u,c,null,[{name:\"position\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"}])}},9557:function(t,e,r){\"use strict\";t.exports=function(t,e,r,i,o,l){var u=n(t),f=a(t,[{buffer:u,size:3}]),h=s(t);h.attributes.position.location=0;var p=new c(t,h,u,f);return p.update(e,r,i,o,l),p};var n=r(5827),a=r(2944),o=r(875),s=r(1943).f,l=window||i.global||{},u=l.__TEXT_CACHE||{};function c(t,e,r,n){this.gl=t,this.shader=e,this.buffer=r,this.vao=n,this.tickOffset=this.tickCount=this.labelOffset=this.labelCount=null}l.__TEXT_CACHE={};var f=c.prototype,h=[0,0];f.bind=function(t,e,r,n){this.vao.bind(),this.shader.bind();var i=this.shader.uniforms;i.model=t,i.view=e,i.projection=r,i.pixelScale=n,h[0]=this.gl.drawingBufferWidth,h[1]=this.gl.drawingBufferHeight,this.shader.uniforms.resolution=h},f.unbind=function(){this.vao.unbind()},f.update=function(t,e,r,n,i){var a=[];function s(t,e,r,n,i,s){var l=u[r];l||(l=u[r]={});var c=l[e];c||(c=l[e]=function(t,e){try{return o(t,e)}catch(e){return console.warn('error vectorizing text:\"'+t+'\" error:',e),{cells:[],positions:[]}}}(e,{triangles:!0,font:r,textAlign:\"center\",textBaseline:\"middle\",lineSpacing:i,styletags:s}));for(var f=(n||12)/12,h=c.positions,p=c.cells,d=0,v=p.length;d<v;++d)for(var g=p[d],y=2;y>=0;--y){var m=h[g[y]];a.push(f*m[0],-f*m[1],t)}}for(var l=[0,0,0],c=[0,0,0],f=[0,0,0],h=[0,0,0],p={breaklines:!0,bolds:!0,italics:!0,subscripts:!0,superscripts:!0},d=0;d<3;++d){f[d]=a.length/3|0,s(.5*(t[0][d]+t[1][d]),e[d],r[d],12,1.25,p),h[d]=(a.length/3|0)-f[d],l[d]=a.length/3|0;for(var v=0;v<n[d].length;++v)n[d][v].text&&s(n[d][v].x,n[d][v].text,n[d][v].font||i,n[d][v].fontSize||12,1.25,p);c[d]=(a.length/3|0)-l[d]}this.buffer.update(a),this.tickOffset=l,this.tickCount=c,this.labelOffset=f,this.labelCount=h},f.drawTicks=function(t,e,r,n,i,a,o,s){this.tickCount[t]&&(this.shader.uniforms.axis=a,this.shader.uniforms.color=i,this.shader.uniforms.angle=r,this.shader.uniforms.scale=e,this.shader.uniforms.offset=n,this.shader.uniforms.alignDir=o,this.shader.uniforms.alignOpt=s,this.vao.draw(this.gl.TRIANGLES,this.tickCount[t],this.tickOffset[t]))},f.drawLabel=function(t,e,r,n,i,a,o,s){this.labelCount[t]&&(this.shader.uniforms.axis=a,this.shader.uniforms.color=i,this.shader.uniforms.angle=r,this.shader.uniforms.scale=e,this.shader.uniforms.offset=n,this.shader.uniforms.alignDir=o,this.shader.uniforms.alignOpt=s,this.vao.draw(this.gl.TRIANGLES,this.labelCount[t],this.labelOffset[t]))},f.dispose=function(){this.shader.dispose(),this.vao.dispose(),this.buffer.dispose()}},8468:function(t,e){\"use strict\";function r(t,e){var r=t+\"\",n=r.indexOf(\".\"),i=0;n>=0&&(i=r.length-n-1);var a=Math.pow(10,i),o=Math.round(t*e*a),s=o+\"\";if(s.indexOf(\"e\")>=0)return s;var l=o/a,u=o%a;o<0?(l=0|-Math.ceil(l),u=0|-u):(l=0|Math.floor(l),u|=0);var c=\"\"+l;if(o<0&&(c=\"-\"+c),i){for(var f=\"\"+u;f.length<i;)f=\"0\"+f;return c+\".\"+f}return c}e.create=function(t,e){for(var n=[],i=0;i<3;++i){for(var a=[],o=(t[0][i],t[1][i],0);o*e[i]<=t[1][i];++o)a.push({x:o*e[i],text:r(e[i],o)});for(o=-1;o*e[i]>=t[0][i];--o)a.push({x:o*e[i],text:r(e[i],o)});n.push(a)}return n},e.equal=function(t,e){for(var r=0;r<3;++r){if(t[r].length!==e[r].length)return!1;for(var n=0;n<t[r].length;++n){var i=t[r][n],a=e[r][n];if(i.x!==a.x||i.text!==a.text||i.font!==a.font||i.fontColor!==a.fontColor||i.fontSize!==a.fontSize||i.dx!==a.dx||i.dy!==a.dy)return!1}}return!0}},2771:function(t,e,r){\"use strict\";t.exports=function(t,e,r,l,f){var h=e.model||u,p=e.view||u,y=e.projection||u,m=e._ortho||!1,x=t.bounds,b=(f=f||a(h,p,y,x,m)).axis;o(c,p,h),o(c,y,c);for(var _=v,w=0;w<3;++w)_[w].lo=1/0,_[w].hi=-1/0,_[w].pixelsPerDataUnit=1/0;var T=n(s(c,c));s(c,c);for(var k=0;k<3;++k){var A=(k+1)%3,M=(k+2)%3,S=g;t:for(w=0;w<2;++w){var E=[];if(b[k]<0!=!!w){S[k]=x[w][k];for(var L=0;L<2;++L){S[A]=x[L^w][A];for(var C=0;C<2;++C)S[M]=x[C^L^w][M],E.push(S.slice())}var P=m?5:4;for(L=P;L===P;++L){if(0===E.length)continue t;E=i.positive(E,T[L])}for(L=0;L<E.length;++L){M=E[L];var O=d(g,c,M,r,l);for(C=0;C<3;++C)_[C].lo=Math.min(_[C].lo,M[C]),_[C].hi=Math.max(_[C].hi,M[C]),C!==k&&(_[C].pixelsPerDataUnit=Math.min(_[C].pixelsPerDataUnit,Math.abs(O[C])))}}}}return _};var n=r(5795),i=r(4670),a=r(2864),o=r(104),s=r(2142),l=r(6342),u=new Float32Array([1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1]),c=new Float32Array(16);function f(t,e,r){this.lo=t,this.hi=e,this.pixelsPerDataUnit=r}var h=[0,0,0,1],p=[0,0,0,1];function d(t,e,r,n,i){for(var a=0;a<3;++a){for(var o=h,s=p,u=0;u<3;++u)s[u]=o[u]=r[u];s[3]=o[3]=1,s[a]+=1,l(s,s,e),s[3]<0&&(t[a]=1/0),o[a]-=1,l(o,o,e),o[3]<0&&(t[a]=1/0);var c=(o[0]/o[3]-s[0]/s[3])*n,f=(o[1]/o[3]-s[1]/s[3])*i;t[a]=.25*Math.sqrt(c*c+f*f)}return t}var v=[new f(1/0,-1/0,1/0),new f(1/0,-1/0,1/0),new f(1/0,-1/0,1/0)],g=[0,0,0]},5827:function(t,e,r){\"use strict\";var n=r(5306),i=r(7498),a=r(5050),o=[\"uint8\",\"uint8_clamped\",\"uint16\",\"uint32\",\"int8\",\"int16\",\"int32\",\"float32\"];function s(t,e,r,n,i){this.gl=t,this.type=e,this.handle=r,this.length=n,this.usage=i}var l=s.prototype;function u(t,e,r,n,i,a){var o=i.length*i.BYTES_PER_ELEMENT;if(a<0)return t.bufferData(e,i,n),o;if(o+a>r)throw new Error(\"gl-buffer: If resizing buffer, must not specify offset\");return t.bufferSubData(e,a,i),r}function c(t,e){for(var r=n.malloc(t.length,e),i=t.length,a=0;a<i;++a)r[a]=t[a];return r}l.bind=function(){this.gl.bindBuffer(this.type,this.handle)},l.unbind=function(){this.gl.bindBuffer(this.type,null)},l.dispose=function(){this.gl.deleteBuffer(this.handle)},l.update=function(t,e){if(\"number\"!=typeof e&&(e=-1),this.bind(),\"object\"==typeof t&&void 0!==t.shape){var r=t.dtype;if(o.indexOf(r)<0&&(r=\"float32\"),this.type===this.gl.ELEMENT_ARRAY_BUFFER&&(r=gl.getExtension(\"OES_element_index_uint\")&&\"uint16\"!==r?\"uint32\":\"uint16\"),r===t.dtype&&function(t,e){for(var r=1,n=e.length-1;n>=0;--n){if(e[n]!==r)return!1;r*=t[n]}return!0}(t.shape,t.stride))0===t.offset&&t.data.length===t.shape[0]?this.length=u(this.gl,this.type,this.length,this.usage,t.data,e):this.length=u(this.gl,this.type,this.length,this.usage,t.data.subarray(t.offset,t.shape[0]),e);else{var s=n.malloc(t.size,r),l=a(s,t.shape);i.assign(l,t),this.length=u(this.gl,this.type,this.length,this.usage,e<0?s:s.subarray(0,t.size),e),n.free(s)}}else if(Array.isArray(t)){var f;f=this.type===this.gl.ELEMENT_ARRAY_BUFFER?c(t,\"uint16\"):c(t,\"float32\"),this.length=u(this.gl,this.type,this.length,this.usage,e<0?f:f.subarray(0,t.length),e),n.free(f)}else if(\"object\"==typeof t&&\"number\"==typeof t.length)this.length=u(this.gl,this.type,this.length,this.usage,t,e);else{if(\"number\"!=typeof t&&void 0!==t)throw new Error(\"gl-buffer: Invalid data type\");if(e>=0)throw new Error(\"gl-buffer: Cannot specify offset when resizing buffer\");(t|=0)<=0&&(t=1),this.gl.bufferData(this.type,0|t,this.usage),this.length=t}},t.exports=function(t,e,r,n){if(r=r||t.ARRAY_BUFFER,n=n||t.DYNAMIC_DRAW,r!==t.ARRAY_BUFFER&&r!==t.ELEMENT_ARRAY_BUFFER)throw new Error(\"gl-buffer: Invalid type for webgl buffer, must be either gl.ARRAY_BUFFER or gl.ELEMENT_ARRAY_BUFFER\");if(n!==t.DYNAMIC_DRAW&&n!==t.STATIC_DRAW&&n!==t.STREAM_DRAW)throw new Error(\"gl-buffer: Invalid usage for buffer, must be either gl.DYNAMIC_DRAW, gl.STATIC_DRAW or gl.STREAM_DRAW\");var i=t.createBuffer(),a=new s(t,r,i,0,n);return a.update(e),a}},1140:function(t,e,r){\"use strict\";var n=r(2858);t.exports=function(t,e){var r=t.positions,i=t.vectors,a={positions:[],vertexIntensity:[],vertexIntensityBounds:t.vertexIntensityBounds,vectors:[],cells:[],coneOffset:t.coneOffset,colormap:t.colormap};if(0===t.positions.length)return e&&(e[0]=[0,0,0],e[1]=[0,0,0]),a;for(var o=0,s=1/0,l=-1/0,u=1/0,c=-1/0,f=1/0,h=-1/0,p=null,d=null,v=[],g=1/0,y=!1,m=0;m<r.length;m++){var x=r[m];s=Math.min(x[0],s),l=Math.max(x[0],l),u=Math.min(x[1],u),c=Math.max(x[1],c),f=Math.min(x[2],f),h=Math.max(x[2],h);var b=i[m];if(n.length(b)>o&&(o=n.length(b)),m){var _=2*n.distance(p,x)/(n.length(d)+n.length(b));_?(g=Math.min(g,_),y=!1):y=!0}y||(p=x,d=b),v.push(b)}var w=[s,u,f],T=[l,c,h];e&&(e[0]=w,e[1]=T),0===o&&(o=1);var k=1/o;isFinite(g)||(g=1),a.vectorScale=g;var A=t.coneSize||.5;t.absoluteConeSize&&(A=t.absoluteConeSize*k),a.coneScale=A,m=0;for(var M=0;m<r.length;m++)for(var S=(x=r[m])[0],E=x[1],L=x[2],C=v[m],P=n.length(C)*k,O=0;O<8;O++){a.positions.push([S,E,L,M++]),a.positions.push([S,E,L,M++]),a.positions.push([S,E,L,M++]),a.positions.push([S,E,L,M++]),a.positions.push([S,E,L,M++]),a.positions.push([S,E,L,M++]),a.vectors.push(C),a.vectors.push(C),a.vectors.push(C),a.vectors.push(C),a.vectors.push(C),a.vectors.push(C),a.vertexIntensity.push(P,P,P),a.vertexIntensity.push(P,P,P);var I=a.positions.length;a.cells.push([I-6,I-5,I-4],[I-3,I-2,I-1])}return a};var i=r(7234);t.exports.createMesh=r(5028),t.exports.createConeMesh=function(e,r){return t.exports.createMesh(e,r,{shaders:i,traceType:\"cone\"})}},5028:function(t,e,r){\"use strict\";var n=r(5158),i=r(5827),a=r(2944),o=r(8931),s=r(104),l=r(7437),u=r(5050),c=r(9156),f=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function h(t,e,r,n,i,a,o,s,l,u,c){this.gl=t,this.pixelRatio=1,this.cells=[],this.positions=[],this.intensity=[],this.texture=e,this.dirty=!0,this.triShader=r,this.pickShader=n,this.trianglePositions=i,this.triangleVectors=a,this.triangleColors=s,this.triangleUVs=l,this.triangleIds=o,this.triangleVAO=u,this.triangleCount=0,this.pickId=1,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.lightPosition=[1e5,1e5,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.opacity=1,this.traceType=c,this.tubeScale=1,this.coneScale=2,this.vectorScale=1,this.coneOffset=.25,this._model=f,this._view=f,this._projection=f,this._resolution=[1,1]}var p=h.prototype;p.isOpaque=function(){return this.opacity>=1},p.isTransparent=function(){return this.opacity<1},p.pickSlots=1,p.setPickBase=function(t){this.pickId=t},p.update=function(t){t=t||{};var e=this.gl;this.dirty=!0,\"lightPosition\"in t&&(this.lightPosition=t.lightPosition),\"opacity\"in t&&(this.opacity=t.opacity),\"ambient\"in t&&(this.ambientLight=t.ambient),\"diffuse\"in t&&(this.diffuseLight=t.diffuse),\"specular\"in t&&(this.specularLight=t.specular),\"roughness\"in t&&(this.roughness=t.roughness),\"fresnel\"in t&&(this.fresnel=t.fresnel),void 0!==t.tubeScale&&(this.tubeScale=t.tubeScale),void 0!==t.vectorScale&&(this.vectorScale=t.vectorScale),void 0!==t.coneScale&&(this.coneScale=t.coneScale),void 0!==t.coneOffset&&(this.coneOffset=t.coneOffset),t.colormap&&(this.texture.shape=[256,256],this.texture.minFilter=e.LINEAR_MIPMAP_LINEAR,this.texture.magFilter=e.LINEAR,this.texture.setPixels(function(t){for(var e=c({colormap:t,nshades:256,format:\"rgba\"}),r=new Uint8Array(1024),n=0;n<256;++n){for(var i=e[n],a=0;a<3;++a)r[4*n+a]=i[a];r[4*n+3]=255*i[3]}return u(r,[256,256,4],[4,0,1])}(t.colormap)),this.texture.generateMipmap());var r=t.cells,n=t.positions,i=t.vectors;if(n&&r&&i){var a=[],o=[],s=[],l=[],f=[];this.cells=r,this.positions=n,this.vectors=i;var h=t.meshColor||[1,1,1,1],p=t.vertexIntensity,d=1/0,v=-1/0;if(p)if(t.vertexIntensityBounds)d=+t.vertexIntensityBounds[0],v=+t.vertexIntensityBounds[1];else for(var g=0;g<p.length;++g){var y=p[g];d=Math.min(d,y),v=Math.max(v,y)}else for(g=0;g<n.length;++g)y=n[g][2],d=Math.min(d,y),v=Math.max(v,y);for(this.intensity=p||function(t){for(var e=t.length,r=new Array(e),n=0;n<e;++n)r[n]=t[n][2];return r}(n),this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],g=0;g<n.length;++g)for(var m=n[g],x=0;x<3;++x)!isNaN(m[x])&&isFinite(m[x])&&(this.bounds[0][x]=Math.min(this.bounds[0][x],m[x]),this.bounds[1][x]=Math.max(this.bounds[1][x],m[x]));var b=0;t:for(g=0;g<r.length;++g){var _=r[g];if(3===_.length){for(x=0;x<3;++x){m=n[T=_[x]];for(var w=0;w<3;++w)if(isNaN(m[w])||!isFinite(m[w]))continue t}for(x=0;x<3;++x){var T;m=n[T=_[2-x]],a.push(m[0],m[1],m[2],m[3]);var k=i[T];o.push(k[0],k[1],k[2],k[3]||0);var A,M=h;3===M.length?s.push(M[0],M[1],M[2],1):s.push(M[0],M[1],M[2],M[3]),A=p?[(p[T]-d)/(v-d),0]:[(m[2]-d)/(v-d),0],l.push(A[0],A[1]),f.push(g)}b+=1}}this.triangleCount=b,this.trianglePositions.update(a),this.triangleVectors.update(o),this.triangleColors.update(s),this.triangleUVs.update(l),this.triangleIds.update(new Uint32Array(f))}},p.drawTransparent=p.draw=function(t){t=t||{};for(var e=this.gl,r=t.model||f,n=t.view||f,i=t.projection||f,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);var u={model:r,view:n,projection:i,inverseModel:f.slice(),clipBounds:a,kambient:this.ambientLight,kdiffuse:this.diffuseLight,kspecular:this.specularLight,roughness:this.roughness,fresnel:this.fresnel,eyePosition:[0,0,0],lightPosition:[0,0,0],opacity:this.opacity,tubeScale:this.tubeScale,vectorScale:this.vectorScale,coneScale:this.coneScale,coneOffset:this.coneOffset,texture:0};u.inverseModel=l(u.inverseModel,u.model),e.disable(e.CULL_FACE),this.texture.bind(0);var c=new Array(16);for(s(c,u.view,u.model),s(c,u.projection,c),l(c,c),o=0;o<3;++o)u.eyePosition[o]=c[12+o]/c[15];var h=c[15];for(o=0;o<3;++o)h+=this.lightPosition[o]*c[4*o+3];for(o=0;o<3;++o){for(var p=c[12+o],d=0;d<3;++d)p+=c[4*d+o]*this.lightPosition[d];u.lightPosition[o]=p/h}if(this.triangleCount>0){var v=this.triShader;v.bind(),v.uniforms=u,this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind()}},p.drawPick=function(t){t=t||{};for(var e=this.gl,r=t.model||f,n=t.view||f,i=t.projection||f,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);this._model=[].slice.call(r),this._view=[].slice.call(n),this._projection=[].slice.call(i),this._resolution=[e.drawingBufferWidth,e.drawingBufferHeight];var s={model:r,view:n,projection:i,clipBounds:a,tubeScale:this.tubeScale,vectorScale:this.vectorScale,coneScale:this.coneScale,coneOffset:this.coneOffset,pickId:this.pickId/255},l=this.pickShader;l.bind(),l.uniforms=s,this.triangleCount>0&&(this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind())},p.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=t.value[0]+256*t.value[1]+65536*t.value[2],r=this.cells[e],n=this.positions[r[1]].slice(0,3),i={position:n,dataCoordinate:n,index:Math.floor(r[1]/48)};return\"cone\"===this.traceType?i.index=Math.floor(r[1]/48):\"streamtube\"===this.traceType&&(i.intensity=this.intensity[r[1]],i.velocity=this.vectors[r[1]].slice(0,3),i.divergence=this.vectors[r[1]][3],i.index=e),i},p.dispose=function(){this.texture.dispose(),this.triShader.dispose(),this.pickShader.dispose(),this.triangleVAO.dispose(),this.trianglePositions.dispose(),this.triangleVectors.dispose(),this.triangleColors.dispose(),this.triangleUVs.dispose(),this.triangleIds.dispose()},t.exports=function(t,e,r){var s=r.shaders;1===arguments.length&&(t=(e=t).gl);var l=function(t,e){var r=n(t,e.meshShader.vertex,e.meshShader.fragment,null,e.meshShader.attributes);return r.attributes.position.location=0,r.attributes.color.location=2,r.attributes.uv.location=3,r.attributes.vector.location=4,r}(t,s),c=function(t,e){var r=n(t,e.pickShader.vertex,e.pickShader.fragment,null,e.pickShader.attributes);return r.attributes.position.location=0,r.attributes.id.location=1,r.attributes.vector.location=4,r}(t,s),f=o(t,u(new Uint8Array([255,255,255,255]),[1,1,4]));f.generateMipmap(),f.minFilter=t.LINEAR_MIPMAP_LINEAR,f.magFilter=t.LINEAR;var p=i(t),d=i(t),v=i(t),g=i(t),y=i(t),m=new h(t,f,l,c,p,d,y,v,g,a(t,[{buffer:p,type:t.FLOAT,size:4},{buffer:y,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:v,type:t.FLOAT,size:4},{buffer:g,type:t.FLOAT,size:2},{buffer:d,type:t.FLOAT,size:4}]),r.traceType||\"cone\");return m.update(e),m}},7234:function(t,e,r){var n=r(6832),i=n([\"precision highp float;\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nvec3 getOrthogonalVector(vec3 v) {\\n  // Return up-vector for only-z vector.\\n  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\\n  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\\n  // Assign z = 0, x = -b, y = a:\\n  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\\n  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\\n    return normalize(vec3(-v.y, v.x, 0.0));\\n  } else {\\n    return normalize(vec3(0.0, v.z, -v.y));\\n  }\\n}\\n\\n// Calculate the cone vertex and normal at the given index.\\n//\\n// The returned vertex is for a cone with its top at origin and height of 1.0,\\n// pointing in the direction of the vector attribute.\\n//\\n// Each cone is made up of a top vertex, a center base vertex and base perimeter vertices.\\n// These vertices are used to make up the triangles of the cone by the following:\\n//   segment + 0 top vertex\\n//   segment + 1 perimeter vertex a+1\\n//   segment + 2 perimeter vertex a\\n//   segment + 3 center base vertex\\n//   segment + 4 perimeter vertex a\\n//   segment + 5 perimeter vertex a+1\\n// Where segment is the number of the radial segment * 6 and a is the angle at that radial segment.\\n// To go from index to segment, floor(index / 6)\\n// To go from segment to angle, 2*pi * (segment/segmentCount)\\n// To go from index to segment index, index - (segment*6)\\n//\\nvec3 getConePosition(vec3 d, float rawIndex, float coneOffset, out vec3 normal) {\\n\\n  const float segmentCount = 8.0;\\n\\n  float index = rawIndex - floor(rawIndex /\\n    (segmentCount * 6.0)) *\\n    (segmentCount * 6.0);\\n\\n  float segment = floor(0.001 + index/6.0);\\n  float segmentIndex = index - (segment*6.0);\\n\\n  normal = -normalize(d);\\n\\n  if (segmentIndex > 2.99 && segmentIndex < 3.01) {\\n    return mix(vec3(0.0), -d, coneOffset);\\n  }\\n\\n  float nextAngle = (\\n    (segmentIndex > 0.99 &&  segmentIndex < 1.01) ||\\n    (segmentIndex > 4.99 &&  segmentIndex < 5.01)\\n  ) ? 1.0 : 0.0;\\n  float angle = 2.0 * 3.14159 * ((segment + nextAngle) / segmentCount);\\n\\n  vec3 v1 = mix(d, vec3(0.0), coneOffset);\\n  vec3 v2 = v1 - d;\\n\\n  vec3 u = getOrthogonalVector(d);\\n  vec3 v = normalize(cross(u, d));\\n\\n  vec3 x = u * cos(angle) * length(d)*0.25;\\n  vec3 y = v * sin(angle) * length(d)*0.25;\\n  vec3 v3 = v2 + x + y;\\n  if (segmentIndex < 3.0) {\\n    vec3 tx = u * sin(angle);\\n    vec3 ty = v * -cos(angle);\\n    vec3 tangent = tx + ty;\\n    normal = normalize(cross(v3 - v1, tangent));\\n  }\\n\\n  if (segmentIndex == 0.0) {\\n    return mix(d, vec3(0.0), coneOffset);\\n  }\\n  return v3;\\n}\\n\\nattribute vec3 vector;\\nattribute vec4 color, position;\\nattribute vec2 uv;\\n\\nuniform float vectorScale, coneScale, coneOffset;\\nuniform mat4 model, view, projection, inverseModel;\\nuniform vec3 eyePosition, lightPosition;\\n\\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  // Scale the vector magnitude to stay constant with\\n  // model & view changes.\\n  vec3 normal;\\n  vec3 XYZ = getConePosition(mat3(model) * ((vectorScale * coneScale) * vector), position.w, coneOffset, normal);\\n  vec4 conePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\\n\\n  //Lighting geometry parameters\\n  vec4 cameraCoordinate = view * conePosition;\\n  cameraCoordinate.xyz /= cameraCoordinate.w;\\n  f_lightDirection = lightPosition - cameraCoordinate.xyz;\\n  f_eyeDirection   = eyePosition - cameraCoordinate.xyz;\\n  f_normal = normalize((vec4(normal, 0.0) * inverseModel).xyz);\\n\\n  // vec4 m_position  = model * vec4(conePosition, 1.0);\\n  vec4 t_position  = view * conePosition;\\n  gl_Position      = projection * t_position;\\n\\n  f_color          = color;\\n  f_data           = conePosition.xyz;\\n  f_position       = position.xyz;\\n  f_uv             = uv;\\n}\\n\"]),a=n([\"#extension GL_OES_standard_derivatives : enable\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nfloat beckmannDistribution(float x, float roughness) {\\n  float NdotH = max(x, 0.0001);\\n  float cos2Alpha = NdotH * NdotH;\\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\\n  float roughness2 = roughness * roughness;\\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\\n  return exp(tan2Alpha / roughness2) / denom;\\n}\\n\\nfloat cookTorranceSpecular(\\n  vec3 lightDirection,\\n  vec3 viewDirection,\\n  vec3 surfaceNormal,\\n  float roughness,\\n  float fresnel) {\\n\\n  float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\\n  float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\\n\\n  //Half angle vector\\n  vec3 H = normalize(lightDirection + viewDirection);\\n\\n  //Geometric term\\n  float NdotH = max(dot(surfaceNormal, H), 0.0);\\n  float VdotH = max(dot(viewDirection, H), 0.000001);\\n  float LdotH = max(dot(lightDirection, H), 0.000001);\\n  float G1 = (2.0 * NdotH * VdotN) / VdotH;\\n  float G2 = (2.0 * NdotH * LdotN) / LdotH;\\n  float G = min(1.0, min(G1, G2));\\n  \\n  //Distribution term\\n  float D = beckmannDistribution(NdotH, roughness);\\n\\n  //Fresnel term\\n  float F = pow(1.0 - VdotN, fresnel);\\n\\n  //Multiply terms and done\\n  return  G * F * D / max(3.14159265 * VdotN, 0.000001);\\n}\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\\nuniform sampler2D texture;\\n\\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n  vec3 N = normalize(f_normal);\\n  vec3 L = normalize(f_lightDirection);\\n  vec3 V = normalize(f_eyeDirection);\\n\\n  if(gl_FrontFacing) {\\n    N = -N;\\n  }\\n\\n  float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\\n\\n  vec4 surfaceColor = f_color * texture2D(texture, f_uv);\\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\\n\\n  gl_FragColor = litColor * opacity;\\n}\\n\"]),o=n([\"precision highp float;\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nvec3 getOrthogonalVector(vec3 v) {\\n  // Return up-vector for only-z vector.\\n  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\\n  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\\n  // Assign z = 0, x = -b, y = a:\\n  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\\n  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\\n    return normalize(vec3(-v.y, v.x, 0.0));\\n  } else {\\n    return normalize(vec3(0.0, v.z, -v.y));\\n  }\\n}\\n\\n// Calculate the cone vertex and normal at the given index.\\n//\\n// The returned vertex is for a cone with its top at origin and height of 1.0,\\n// pointing in the direction of the vector attribute.\\n//\\n// Each cone is made up of a top vertex, a center base vertex and base perimeter vertices.\\n// These vertices are used to make up the triangles of the cone by the following:\\n//   segment + 0 top vertex\\n//   segment + 1 perimeter vertex a+1\\n//   segment + 2 perimeter vertex a\\n//   segment + 3 center base vertex\\n//   segment + 4 perimeter vertex a\\n//   segment + 5 perimeter vertex a+1\\n// Where segment is the number of the radial segment * 6 and a is the angle at that radial segment.\\n// To go from index to segment, floor(index / 6)\\n// To go from segment to angle, 2*pi * (segment/segmentCount)\\n// To go from index to segment index, index - (segment*6)\\n//\\nvec3 getConePosition(vec3 d, float rawIndex, float coneOffset, out vec3 normal) {\\n\\n  const float segmentCount = 8.0;\\n\\n  float index = rawIndex - floor(rawIndex /\\n    (segmentCount * 6.0)) *\\n    (segmentCount * 6.0);\\n\\n  float segment = floor(0.001 + index/6.0);\\n  float segmentIndex = index - (segment*6.0);\\n\\n  normal = -normalize(d);\\n\\n  if (segmentIndex > 2.99 && segmentIndex < 3.01) {\\n    return mix(vec3(0.0), -d, coneOffset);\\n  }\\n\\n  float nextAngle = (\\n    (segmentIndex > 0.99 &&  segmentIndex < 1.01) ||\\n    (segmentIndex > 4.99 &&  segmentIndex < 5.01)\\n  ) ? 1.0 : 0.0;\\n  float angle = 2.0 * 3.14159 * ((segment + nextAngle) / segmentCount);\\n\\n  vec3 v1 = mix(d, vec3(0.0), coneOffset);\\n  vec3 v2 = v1 - d;\\n\\n  vec3 u = getOrthogonalVector(d);\\n  vec3 v = normalize(cross(u, d));\\n\\n  vec3 x = u * cos(angle) * length(d)*0.25;\\n  vec3 y = v * sin(angle) * length(d)*0.25;\\n  vec3 v3 = v2 + x + y;\\n  if (segmentIndex < 3.0) {\\n    vec3 tx = u * sin(angle);\\n    vec3 ty = v * -cos(angle);\\n    vec3 tangent = tx + ty;\\n    normal = normalize(cross(v3 - v1, tangent));\\n  }\\n\\n  if (segmentIndex == 0.0) {\\n    return mix(d, vec3(0.0), coneOffset);\\n  }\\n  return v3;\\n}\\n\\nattribute vec4 vector;\\nattribute vec4 position;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\nuniform float vectorScale, coneScale, coneOffset;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  vec3 normal;\\n  vec3 XYZ = getConePosition(mat3(model) * ((vectorScale * coneScale) * vector.xyz), position.w, coneOffset, normal);\\n  vec4 conePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\\n  gl_Position = projection * view * conePosition;\\n  f_id        = id;\\n  f_position  = position.xyz;\\n}\\n\"]),s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3  clipBounds[2];\\nuniform float pickId;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n\\n  gl_FragColor = vec4(pickId, f_id.xyz);\\n}\"]);e.meshShader={vertex:i,fragment:a,attributes:[{name:\"position\",type:\"vec4\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"},{name:\"vector\",type:\"vec3\"}]},e.pickShader={vertex:o,fragment:s,attributes:[{name:\"position\",type:\"vec4\"},{name:\"id\",type:\"vec4\"},{name:\"vector\",type:\"vec3\"}]}},1950:function(t){t.exports={0:\"NONE\",1:\"ONE\",2:\"LINE_LOOP\",3:\"LINE_STRIP\",4:\"TRIANGLES\",5:\"TRIANGLE_STRIP\",6:\"TRIANGLE_FAN\",256:\"DEPTH_BUFFER_BIT\",512:\"NEVER\",513:\"LESS\",514:\"EQUAL\",515:\"LEQUAL\",516:\"GREATER\",517:\"NOTEQUAL\",518:\"GEQUAL\",519:\"ALWAYS\",768:\"SRC_COLOR\",769:\"ONE_MINUS_SRC_COLOR\",770:\"SRC_ALPHA\",771:\"ONE_MINUS_SRC_ALPHA\",772:\"DST_ALPHA\",773:\"ONE_MINUS_DST_ALPHA\",774:\"DST_COLOR\",775:\"ONE_MINUS_DST_COLOR\",776:\"SRC_ALPHA_SATURATE\",1024:\"STENCIL_BUFFER_BIT\",1028:\"FRONT\",1029:\"BACK\",1032:\"FRONT_AND_BACK\",1280:\"INVALID_ENUM\",1281:\"INVALID_VALUE\",1282:\"INVALID_OPERATION\",1285:\"OUT_OF_MEMORY\",1286:\"INVALID_FRAMEBUFFER_OPERATION\",2304:\"CW\",2305:\"CCW\",2849:\"LINE_WIDTH\",2884:\"CULL_FACE\",2885:\"CULL_FACE_MODE\",2886:\"FRONT_FACE\",2928:\"DEPTH_RANGE\",2929:\"DEPTH_TEST\",2930:\"DEPTH_WRITEMASK\",2931:\"DEPTH_CLEAR_VALUE\",2932:\"DEPTH_FUNC\",2960:\"STENCIL_TEST\",2961:\"STENCIL_CLEAR_VALUE\",2962:\"STENCIL_FUNC\",2963:\"STENCIL_VALUE_MASK\",2964:\"STENCIL_FAIL\",2965:\"STENCIL_PASS_DEPTH_FAIL\",2966:\"STENCIL_PASS_DEPTH_PASS\",2967:\"STENCIL_REF\",2968:\"STENCIL_WRITEMASK\",2978:\"VIEWPORT\",3024:\"DITHER\",3042:\"BLEND\",3088:\"SCISSOR_BOX\",3089:\"SCISSOR_TEST\",3106:\"COLOR_CLEAR_VALUE\",3107:\"COLOR_WRITEMASK\",3317:\"UNPACK_ALIGNMENT\",3333:\"PACK_ALIGNMENT\",3379:\"MAX_TEXTURE_SIZE\",3386:\"MAX_VIEWPORT_DIMS\",3408:\"SUBPIXEL_BITS\",3410:\"RED_BITS\",3411:\"GREEN_BITS\",3412:\"BLUE_BITS\",3413:\"ALPHA_BITS\",3414:\"DEPTH_BITS\",3415:\"STENCIL_BITS\",3553:\"TEXTURE_2D\",4352:\"DONT_CARE\",4353:\"FASTEST\",4354:\"NICEST\",5120:\"BYTE\",5121:\"UNSIGNED_BYTE\",5122:\"SHORT\",5123:\"UNSIGNED_SHORT\",5124:\"INT\",5125:\"UNSIGNED_INT\",5126:\"FLOAT\",5386:\"INVERT\",5890:\"TEXTURE\",6401:\"STENCIL_INDEX\",6402:\"DEPTH_COMPONENT\",6406:\"ALPHA\",6407:\"RGB\",6408:\"RGBA\",6409:\"LUMINANCE\",6410:\"LUMINANCE_ALPHA\",7680:\"KEEP\",7681:\"REPLACE\",7682:\"INCR\",7683:\"DECR\",7936:\"VENDOR\",7937:\"RENDERER\",7938:\"VERSION\",9728:\"NEAREST\",9729:\"LINEAR\",9984:\"NEAREST_MIPMAP_NEAREST\",9985:\"LINEAR_MIPMAP_NEAREST\",9986:\"NEAREST_MIPMAP_LINEAR\",9987:\"LINEAR_MIPMAP_LINEAR\",10240:\"TEXTURE_MAG_FILTER\",10241:\"TEXTURE_MIN_FILTER\",10242:\"TEXTURE_WRAP_S\",10243:\"TEXTURE_WRAP_T\",10497:\"REPEAT\",10752:\"POLYGON_OFFSET_UNITS\",16384:\"COLOR_BUFFER_BIT\",32769:\"CONSTANT_COLOR\",32770:\"ONE_MINUS_CONSTANT_COLOR\",32771:\"CONSTANT_ALPHA\",32772:\"ONE_MINUS_CONSTANT_ALPHA\",32773:\"BLEND_COLOR\",32774:\"FUNC_ADD\",32777:\"BLEND_EQUATION_RGB\",32778:\"FUNC_SUBTRACT\",32779:\"FUNC_REVERSE_SUBTRACT\",32819:\"UNSIGNED_SHORT_4_4_4_4\",32820:\"UNSIGNED_SHORT_5_5_5_1\",32823:\"POLYGON_OFFSET_FILL\",32824:\"POLYGON_OFFSET_FACTOR\",32854:\"RGBA4\",32855:\"RGB5_A1\",32873:\"TEXTURE_BINDING_2D\",32926:\"SAMPLE_ALPHA_TO_COVERAGE\",32928:\"SAMPLE_COVERAGE\",32936:\"SAMPLE_BUFFERS\",32937:\"SAMPLES\",32938:\"SAMPLE_COVERAGE_VALUE\",32939:\"SAMPLE_COVERAGE_INVERT\",32968:\"BLEND_DST_RGB\",32969:\"BLEND_SRC_RGB\",32970:\"BLEND_DST_ALPHA\",32971:\"BLEND_SRC_ALPHA\",33071:\"CLAMP_TO_EDGE\",33170:\"GENERATE_MIPMAP_HINT\",33189:\"DEPTH_COMPONENT16\",33306:\"DEPTH_STENCIL_ATTACHMENT\",33635:\"UNSIGNED_SHORT_5_6_5\",33648:\"MIRRORED_REPEAT\",33901:\"ALIASED_POINT_SIZE_RANGE\",33902:\"ALIASED_LINE_WIDTH_RANGE\",33984:\"TEXTURE0\",33985:\"TEXTURE1\",33986:\"TEXTURE2\",33987:\"TEXTURE3\",33988:\"TEXTURE4\",33989:\"TEXTURE5\",33990:\"TEXTURE6\",33991:\"TEXTURE7\",33992:\"TEXTURE8\",33993:\"TEXTURE9\",33994:\"TEXTURE10\",33995:\"TEXTURE11\",33996:\"TEXTURE12\",33997:\"TEXTURE13\",33998:\"TEXTURE14\",33999:\"TEXTURE15\",34e3:\"TEXTURE16\",34001:\"TEXTURE17\",34002:\"TEXTURE18\",34003:\"TEXTURE19\",34004:\"TEXTURE20\",34005:\"TEXTURE21\",34006:\"TEXTURE22\",34007:\"TEXTURE23\",34008:\"TEXTURE24\",34009:\"TEXTURE25\",34010:\"TEXTURE26\",34011:\"TEXTURE27\",34012:\"TEXTURE28\",34013:\"TEXTURE29\",34014:\"TEXTURE30\",34015:\"TEXTURE31\",34016:\"ACTIVE_TEXTURE\",34024:\"MAX_RENDERBUFFER_SIZE\",34041:\"DEPTH_STENCIL\",34055:\"INCR_WRAP\",34056:\"DECR_WRAP\",34067:\"TEXTURE_CUBE_MAP\",34068:\"TEXTURE_BINDING_CUBE_MAP\",34069:\"TEXTURE_CUBE_MAP_POSITIVE_X\",34070:\"TEXTURE_CUBE_MAP_NEGATIVE_X\",34071:\"TEXTURE_CUBE_MAP_POSITIVE_Y\",34072:\"TEXTURE_CUBE_MAP_NEGATIVE_Y\",34073:\"TEXTURE_CUBE_MAP_POSITIVE_Z\",34074:\"TEXTURE_CUBE_MAP_NEGATIVE_Z\",34076:\"MAX_CUBE_MAP_TEXTURE_SIZE\",34338:\"VERTEX_ATTRIB_ARRAY_ENABLED\",34339:\"VERTEX_ATTRIB_ARRAY_SIZE\",34340:\"VERTEX_ATTRIB_ARRAY_STRIDE\",34341:\"VERTEX_ATTRIB_ARRAY_TYPE\",34342:\"CURRENT_VERTEX_ATTRIB\",34373:\"VERTEX_ATTRIB_ARRAY_POINTER\",34466:\"NUM_COMPRESSED_TEXTURE_FORMATS\",34467:\"COMPRESSED_TEXTURE_FORMATS\",34660:\"BUFFER_SIZE\",34661:\"BUFFER_USAGE\",34816:\"STENCIL_BACK_FUNC\",34817:\"STENCIL_BACK_FAIL\",34818:\"STENCIL_BACK_PASS_DEPTH_FAIL\",34819:\"STENCIL_BACK_PASS_DEPTH_PASS\",34877:\"BLEND_EQUATION_ALPHA\",34921:\"MAX_VERTEX_ATTRIBS\",34922:\"VERTEX_ATTRIB_ARRAY_NORMALIZED\",34930:\"MAX_TEXTURE_IMAGE_UNITS\",34962:\"ARRAY_BUFFER\",34963:\"ELEMENT_ARRAY_BUFFER\",34964:\"ARRAY_BUFFER_BINDING\",34965:\"ELEMENT_ARRAY_BUFFER_BINDING\",34975:\"VERTEX_ATTRIB_ARRAY_BUFFER_BINDING\",35040:\"STREAM_DRAW\",35044:\"STATIC_DRAW\",35048:\"DYNAMIC_DRAW\",35632:\"FRAGMENT_SHADER\",35633:\"VERTEX_SHADER\",35660:\"MAX_VERTEX_TEXTURE_IMAGE_UNITS\",35661:\"MAX_COMBINED_TEXTURE_IMAGE_UNITS\",35663:\"SHADER_TYPE\",35664:\"FLOAT_VEC2\",35665:\"FLOAT_VEC3\",35666:\"FLOAT_VEC4\",35667:\"INT_VEC2\",35668:\"INT_VEC3\",35669:\"INT_VEC4\",35670:\"BOOL\",35671:\"BOOL_VEC2\",35672:\"BOOL_VEC3\",35673:\"BOOL_VEC4\",35674:\"FLOAT_MAT2\",35675:\"FLOAT_MAT3\",35676:\"FLOAT_MAT4\",35678:\"SAMPLER_2D\",35680:\"SAMPLER_CUBE\",35712:\"DELETE_STATUS\",35713:\"COMPILE_STATUS\",35714:\"LINK_STATUS\",35715:\"VALIDATE_STATUS\",35716:\"INFO_LOG_LENGTH\",35717:\"ATTACHED_SHADERS\",35718:\"ACTIVE_UNIFORMS\",35719:\"ACTIVE_UNIFORM_MAX_LENGTH\",35720:\"SHADER_SOURCE_LENGTH\",35721:\"ACTIVE_ATTRIBUTES\",35722:\"ACTIVE_ATTRIBUTE_MAX_LENGTH\",35724:\"SHADING_LANGUAGE_VERSION\",35725:\"CURRENT_PROGRAM\",36003:\"STENCIL_BACK_REF\",36004:\"STENCIL_BACK_VALUE_MASK\",36005:\"STENCIL_BACK_WRITEMASK\",36006:\"FRAMEBUFFER_BINDING\",36007:\"RENDERBUFFER_BINDING\",36048:\"FRAMEBUFFER_ATTACHMENT_OBJECT_TYPE\",36049:\"FRAMEBUFFER_ATTACHMENT_OBJECT_NAME\",36050:\"FRAMEBUFFER_ATTACHMENT_TEXTURE_LEVEL\",36051:\"FRAMEBUFFER_ATTACHMENT_TEXTURE_CUBE_MAP_FACE\",36053:\"FRAMEBUFFER_COMPLETE\",36054:\"FRAMEBUFFER_INCOMPLETE_ATTACHMENT\",36055:\"FRAMEBUFFER_INCOMPLETE_MISSING_ATTACHMENT\",36057:\"FRAMEBUFFER_INCOMPLETE_DIMENSIONS\",36061:\"FRAMEBUFFER_UNSUPPORTED\",36064:\"COLOR_ATTACHMENT0\",36096:\"DEPTH_ATTACHMENT\",36128:\"STENCIL_ATTACHMENT\",36160:\"FRAMEBUFFER\",36161:\"RENDERBUFFER\",36162:\"RENDERBUFFER_WIDTH\",36163:\"RENDERBUFFER_HEIGHT\",36164:\"RENDERBUFFER_INTERNAL_FORMAT\",36168:\"STENCIL_INDEX8\",36176:\"RENDERBUFFER_RED_SIZE\",36177:\"RENDERBUFFER_GREEN_SIZE\",36178:\"RENDERBUFFER_BLUE_SIZE\",36179:\"RENDERBUFFER_ALPHA_SIZE\",36180:\"RENDERBUFFER_DEPTH_SIZE\",36181:\"RENDERBUFFER_STENCIL_SIZE\",36194:\"RGB565\",36336:\"LOW_FLOAT\",36337:\"MEDIUM_FLOAT\",36338:\"HIGH_FLOAT\",36339:\"LOW_INT\",36340:\"MEDIUM_INT\",36341:\"HIGH_INT\",36346:\"SHADER_COMPILER\",36347:\"MAX_VERTEX_UNIFORM_VECTORS\",36348:\"MAX_VARYING_VECTORS\",36349:\"MAX_FRAGMENT_UNIFORM_VECTORS\",37440:\"UNPACK_FLIP_Y_WEBGL\",37441:\"UNPACK_PREMULTIPLY_ALPHA_WEBGL\",37442:\"CONTEXT_LOST_WEBGL\",37443:\"UNPACK_COLORSPACE_CONVERSION_WEBGL\",37444:\"BROWSER_DEFAULT_WEBGL\"}},6603:function(t,e,r){var n=r(1950);t.exports=function(t){return n[t]}},3110:function(t,e,r){\"use strict\";t.exports=function(t){var e=t.gl,r=n(e),o=i(e,[{buffer:r,type:e.FLOAT,size:3,offset:0,stride:40},{buffer:r,type:e.FLOAT,size:4,offset:12,stride:40},{buffer:r,type:e.FLOAT,size:3,offset:28,stride:40}]),l=a(e);l.attributes.position.location=0,l.attributes.color.location=1,l.attributes.offset.location=2;var u=new s(e,r,o,l);return u.update(t),u};var n=r(5827),i=r(2944),a=r(7667),o=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function s(t,e,r,n){this.gl=t,this.shader=n,this.buffer=e,this.vao=r,this.pixelRatio=1,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.lineWidth=[1,1,1],this.capSize=[10,10,10],this.lineCount=[0,0,0],this.lineOffset=[0,0,0],this.opacity=1,this.hasAlpha=!1}var l=s.prototype;function u(t,e){for(var r=0;r<3;++r)t[0][r]=Math.min(t[0][r],e[r]),t[1][r]=Math.max(t[1][r],e[r])}l.isOpaque=function(){return!this.hasAlpha},l.isTransparent=function(){return this.hasAlpha},l.drawTransparent=l.draw=function(t){var e=this.gl,r=this.shader.uniforms;this.shader.bind();var n=r.view=t.view||o,i=r.projection=t.projection||o;r.model=t.model||o,r.clipBounds=this.clipBounds,r.opacity=this.opacity;var a=n[12],s=n[13],l=n[14],u=n[15],c=(t._ortho?2:1)*this.pixelRatio*(i[3]*a+i[7]*s+i[11]*l+i[15]*u)/e.drawingBufferHeight;this.vao.bind();for(var f=0;f<3;++f)e.lineWidth(this.lineWidth[f]*this.pixelRatio),r.capSize=this.capSize[f]*c,this.lineCount[f]&&e.drawArrays(e.LINES,this.lineOffset[f],this.lineCount[f]);this.vao.unbind()};var c=function(){for(var t=new Array(3),e=0;e<3;++e){for(var r=[],n=1;n<=2;++n)for(var i=-1;i<=1;i+=2){var a=[0,0,0];a[(n+e)%3]=i,r.push(a)}t[e]=r}return t}();function f(t,e,r,n){for(var i=c[n],a=0;a<i.length;++a){var o=i[a];t.push(e[0],e[1],e[2],r[0],r[1],r[2],r[3],o[0],o[1],o[2])}return i.length}l.update=function(t){\"lineWidth\"in(t=t||{})&&(this.lineWidth=t.lineWidth,Array.isArray(this.lineWidth)||(this.lineWidth=[this.lineWidth,this.lineWidth,this.lineWidth])),\"capSize\"in t&&(this.capSize=t.capSize,Array.isArray(this.capSize)||(this.capSize=[this.capSize,this.capSize,this.capSize])),this.hasAlpha=!1,\"opacity\"in t&&(this.opacity=+t.opacity,this.opacity<1&&(this.hasAlpha=!0));var e=t.color||[[0,0,0],[0,0,0],[0,0,0]],r=t.position,n=t.error;if(Array.isArray(e[0])||(e=[e,e,e]),r&&n){var i=[],a=r.length,o=0;this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.lineCount=[0,0,0];for(var s=0;s<3;++s){this.lineOffset[s]=o;t:for(var l=0;l<a;++l){for(var c=r[l],h=0;h<3;++h)if(isNaN(c[h])||!isFinite(c[h]))continue t;var p,d=n[l],v=e[s];Array.isArray(v[0])&&(v=e[l]),3===v.length?v=[v[0],v[1],v[2],1]:4===v.length&&(v=[v[0],v[1],v[2],v[3]],!this.hasAlpha&&v[3]<1&&(this.hasAlpha=!0)),isNaN(d[0][s])||isNaN(d[1][s])||(d[0][s]<0&&((p=c.slice())[s]+=d[0][s],i.push(c[0],c[1],c[2],v[0],v[1],v[2],v[3],0,0,0,p[0],p[1],p[2],v[0],v[1],v[2],v[3],0,0,0),u(this.bounds,p),o+=2+f(i,p,v,s)),d[1][s]>0&&((p=c.slice())[s]+=d[1][s],i.push(c[0],c[1],c[2],v[0],v[1],v[2],v[3],0,0,0,p[0],p[1],p[2],v[0],v[1],v[2],v[3],0,0,0),u(this.bounds,p),o+=2+f(i,p,v,s)))}this.lineCount[s]=o-this.lineOffset[s]}this.buffer.update(i)}},l.dispose=function(){this.shader.dispose(),this.buffer.dispose(),this.vao.dispose()}},7667:function(t,e,r){\"use strict\";var n=r(6832),i=r(5158),a=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position, offset;\\nattribute vec4 color;\\nuniform mat4 model, view, projection;\\nuniform float capSize;\\nvarying vec4 fragColor;\\nvarying vec3 fragPosition;\\n\\nvoid main() {\\n  vec4 worldPosition  = model * vec4(position, 1.0);\\n  worldPosition       = (worldPosition / worldPosition.w) + vec4(capSize * offset, 0.0);\\n  gl_Position         = projection * view * worldPosition;\\n  fragColor           = color;\\n  fragPosition        = position;\\n}\"]),o=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform float opacity;\\nvarying vec3 fragPosition;\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n  if (\\n    outOfRange(clipBounds[0], clipBounds[1], fragPosition) ||\\n    fragColor.a * opacity == 0.\\n  ) discard;\\n\\n  gl_FragColor = opacity * fragColor;\\n}\"]);t.exports=function(t){return i(t,a,o,null,[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"offset\",type:\"vec3\"}])}},4234:function(t,e,r){\"use strict\";var n=r(8931);t.exports=function(t,e,r,n){i||(i=t.FRAMEBUFFER_UNSUPPORTED,a=t.FRAMEBUFFER_INCOMPLETE_ATTACHMENT,o=t.FRAMEBUFFER_INCOMPLETE_DIMENSIONS,s=t.FRAMEBUFFER_INCOMPLETE_MISSING_ATTACHMENT);var u=t.getExtension(\"WEBGL_draw_buffers\");if(!l&&u&&function(t,e){var r=t.getParameter(e.MAX_COLOR_ATTACHMENTS_WEBGL);l=new Array(r+1);for(var n=0;n<=r;++n){for(var i=new Array(r),a=0;a<n;++a)i[a]=t.COLOR_ATTACHMENT0+a;for(a=n;a<r;++a)i[a]=t.NONE;l[n]=i}}(t,u),Array.isArray(e)&&(n=r,r=0|e[1],e=0|e[0]),\"number\"!=typeof e)throw new Error(\"gl-fbo: Missing shape parameter\");var c=t.getParameter(t.MAX_RENDERBUFFER_SIZE);if(e<0||e>c||r<0||r>c)throw new Error(\"gl-fbo: Parameters are too large for FBO\");var f=1;if(\"color\"in(n=n||{})){if((f=Math.max(0|n.color,0))<0)throw new Error(\"gl-fbo: Must specify a nonnegative number of colors\");if(f>1){if(!u)throw new Error(\"gl-fbo: Multiple draw buffer extension not supported\");if(f>t.getParameter(u.MAX_COLOR_ATTACHMENTS_WEBGL))throw new Error(\"gl-fbo: Context does not support \"+f+\" draw buffers\")}}var h=t.UNSIGNED_BYTE,p=t.getExtension(\"OES_texture_float\");if(n.float&&f>0){if(!p)throw new Error(\"gl-fbo: Context does not support floating point textures\");h=t.FLOAT}else n.preferFloat&&f>0&&p&&(h=t.FLOAT);var v=!0;\"depth\"in n&&(v=!!n.depth);var g=!1;return\"stencil\"in n&&(g=!!n.stencil),new d(t,e,r,h,f,v,g,u)};var i,a,o,s,l=null;function u(t){return[t.getParameter(t.FRAMEBUFFER_BINDING),t.getParameter(t.RENDERBUFFER_BINDING),t.getParameter(t.TEXTURE_BINDING_2D)]}function c(t,e){t.bindFramebuffer(t.FRAMEBUFFER,e[0]),t.bindRenderbuffer(t.RENDERBUFFER,e[1]),t.bindTexture(t.TEXTURE_2D,e[2])}function f(t){switch(t){case i:throw new Error(\"gl-fbo: Framebuffer unsupported\");case a:throw new Error(\"gl-fbo: Framebuffer incomplete attachment\");case o:throw new Error(\"gl-fbo: Framebuffer incomplete dimensions\");case s:throw new Error(\"gl-fbo: Framebuffer incomplete missing attachment\");default:throw new Error(\"gl-fbo: Framebuffer failed for unspecified reason\")}}function h(t,e,r,i,a,o){if(!i)return null;var s=n(t,e,r,a,i);return s.magFilter=t.NEAREST,s.minFilter=t.NEAREST,s.mipSamples=1,s.bind(),t.framebufferTexture2D(t.FRAMEBUFFER,o,t.TEXTURE_2D,s.handle,0),s}function p(t,e,r,n,i){var a=t.createRenderbuffer();return t.bindRenderbuffer(t.RENDERBUFFER,a),t.renderbufferStorage(t.RENDERBUFFER,n,e,r),t.framebufferRenderbuffer(t.FRAMEBUFFER,i,t.RENDERBUFFER,a),a}function d(t,e,r,n,i,a,o,s){this.gl=t,this._shape=[0|e,0|r],this._destroyed=!1,this._ext=s,this.color=new Array(i);for(var d=0;d<i;++d)this.color[d]=null;this._color_rb=null,this.depth=null,this._depth_rb=null,this._colorType=n,this._useDepth=a,this._useStencil=o;var v=this,g=[0|e,0|r];Object.defineProperties(g,{0:{get:function(){return v._shape[0]},set:function(t){return v.width=t}},1:{get:function(){return v._shape[1]},set:function(t){return v.height=t}}}),this._shapeVector=g,function(t){var e=u(t.gl),r=t.gl,n=t.handle=r.createFramebuffer(),i=t._shape[0],a=t._shape[1],o=t.color.length,s=t._ext,d=t._useStencil,v=t._useDepth,g=t._colorType;r.bindFramebuffer(r.FRAMEBUFFER,n);for(var y=0;y<o;++y)t.color[y]=h(r,i,a,g,r.RGBA,r.COLOR_ATTACHMENT0+y);0===o?(t._color_rb=p(r,i,a,r.RGBA4,r.COLOR_ATTACHMENT0),s&&s.drawBuffersWEBGL(l[0])):o>1&&s.drawBuffersWEBGL(l[o]);var m=r.getExtension(\"WEBGL_depth_texture\");m?d?t.depth=h(r,i,a,m.UNSIGNED_INT_24_8_WEBGL,r.DEPTH_STENCIL,r.DEPTH_STENCIL_ATTACHMENT):v&&(t.depth=h(r,i,a,r.UNSIGNED_SHORT,r.DEPTH_COMPONENT,r.DEPTH_ATTACHMENT)):v&&d?t._depth_rb=p(r,i,a,r.DEPTH_STENCIL,r.DEPTH_STENCIL_ATTACHMENT):v?t._depth_rb=p(r,i,a,r.DEPTH_COMPONENT16,r.DEPTH_ATTACHMENT):d&&(t._depth_rb=p(r,i,a,r.STENCIL_INDEX,r.STENCIL_ATTACHMENT));var x=r.checkFramebufferStatus(r.FRAMEBUFFER);if(x!==r.FRAMEBUFFER_COMPLETE){for(t._destroyed=!0,r.bindFramebuffer(r.FRAMEBUFFER,null),r.deleteFramebuffer(t.handle),t.handle=null,t.depth&&(t.depth.dispose(),t.depth=null),t._depth_rb&&(r.deleteRenderbuffer(t._depth_rb),t._depth_rb=null),y=0;y<t.color.length;++y)t.color[y].dispose(),t.color[y]=null;t._color_rb&&(r.deleteRenderbuffer(t._color_rb),t._color_rb=null),c(r,e),f(x)}c(r,e)}(this)}var v=d.prototype;function g(t,e,r){if(t._destroyed)throw new Error(\"gl-fbo: Can't resize destroyed FBO\");if(t._shape[0]!==e||t._shape[1]!==r){var n=t.gl,i=n.getParameter(n.MAX_RENDERBUFFER_SIZE);if(e<0||e>i||r<0||r>i)throw new Error(\"gl-fbo: Can't resize FBO, invalid dimensions\");t._shape[0]=e,t._shape[1]=r;for(var a=u(n),o=0;o<t.color.length;++o)t.color[o].shape=t._shape;t._color_rb&&(n.bindRenderbuffer(n.RENDERBUFFER,t._color_rb),n.renderbufferStorage(n.RENDERBUFFER,n.RGBA4,t._shape[0],t._shape[1])),t.depth&&(t.depth.shape=t._shape),t._depth_rb&&(n.bindRenderbuffer(n.RENDERBUFFER,t._depth_rb),t._useDepth&&t._useStencil?n.renderbufferStorage(n.RENDERBUFFER,n.DEPTH_STENCIL,t._shape[0],t._shape[1]):t._useDepth?n.renderbufferStorage(n.RENDERBUFFER,n.DEPTH_COMPONENT16,t._shape[0],t._shape[1]):t._useStencil&&n.renderbufferStorage(n.RENDERBUFFER,n.STENCIL_INDEX,t._shape[0],t._shape[1])),n.bindFramebuffer(n.FRAMEBUFFER,t.handle);var s=n.checkFramebufferStatus(n.FRAMEBUFFER);s!==n.FRAMEBUFFER_COMPLETE&&(t.dispose(),c(n,a),f(s)),c(n,a)}}Object.defineProperties(v,{shape:{get:function(){return this._destroyed?[0,0]:this._shapeVector},set:function(t){if(Array.isArray(t)||(t=[0|t,0|t]),2!==t.length)throw new Error(\"gl-fbo: Shape vector must be length 2\");var e=0|t[0],r=0|t[1];return g(this,e,r),[e,r]},enumerable:!1},width:{get:function(){return this._destroyed?0:this._shape[0]},set:function(t){return g(this,t|=0,this._shape[1]),t},enumerable:!1},height:{get:function(){return this._destroyed?0:this._shape[1]},set:function(t){return t|=0,g(this,this._shape[0],t),t},enumerable:!1}}),v.bind=function(){if(!this._destroyed){var t=this.gl;t.bindFramebuffer(t.FRAMEBUFFER,this.handle),t.viewport(0,0,this._shape[0],this._shape[1])}},v.dispose=function(){if(!this._destroyed){this._destroyed=!0;var t=this.gl;t.deleteFramebuffer(this.handle),this.handle=null,this.depth&&(this.depth.dispose(),this.depth=null),this._depth_rb&&(t.deleteRenderbuffer(this._depth_rb),this._depth_rb=null);for(var e=0;e<this.color.length;++e)this.color[e].dispose(),this.color[e]=null;this._color_rb&&(t.deleteRenderbuffer(this._color_rb),this._color_rb=null)}}},3530:function(t,e,r){var n=r(8974).sprintf,i=r(6603),a=r(9365),o=r(8008);t.exports=function(t,e,r){\"use strict\";var s=a(e)||\"of unknown name (see npm glsl-shader-name)\",l=\"unknown type\";void 0!==r&&(l=r===i.FRAGMENT_SHADER?\"fragment\":\"vertex\");for(var u=n(\"Error compiling %s shader %s:\\n\",l,s),c=n(\"%s%s\",u,t),f=t.split(\"\\n\"),h={},p=0;p<f.length;p++){var d=f[p];if(\"\"!==d&&\"\\0\"!==d){var v=parseInt(d.split(\":\")[2]);if(isNaN(v))throw new Error(n(\"Could not parse error: %s\",d));h[v]=d}}var g=o(e).split(\"\\n\");for(p=0;p<g.length;p++)if((h[p+3]||h[p+2]||h[p+1])&&(u+=g[p]+\"\\n\",h[p+1])){var y=h[p+1];y=y.substr(y.split(\":\",3).join(\":\").length+1).trim(),u+=n(\"^^^ %s\\n\\n\",y)}return{long:u.trim(),short:c.trim()}}},6386:function(t,e,r){\"use strict\";t.exports=function(t,e){var r=t.gl,n=new u(t,o(r,l.vertex,l.fragment),o(r,l.pickVertex,l.pickFragment),s(r),s(r),s(r),s(r));return n.update(e),t.addObject(n),n};var n=r(5070),i=r(9560),a=r(5306),o=r(5158),s=r(5827),l=r(1292);function u(t,e,r,n,i,a,o){this.plot=t,this.shader=e,this.pickShader=r,this.positionBuffer=n,this.weightBuffer=i,this.colorBuffer=a,this.idBuffer=o,this.xData=[],this.yData=[],this.shape=[0,0],this.bounds=[1/0,1/0,-1/0,-1/0],this.pickOffset=0}var c,f=u.prototype,h=[0,0,1,0,0,1,1,0,1,1,0,1];f.draw=(c=[1,0,0,0,1,0,0,0,1],function(){var t=this.plot,e=this.shader,r=this.bounds,n=this.numVertices;if(!(n<=0)){var i=t.gl,a=t.dataBox,o=r[2]-r[0],s=r[3]-r[1],l=a[2]-a[0],u=a[3]-a[1];c[0]=2*o/l,c[4]=2*s/u,c[6]=2*(r[0]-a[0])/l-1,c[7]=2*(r[1]-a[1])/u-1,e.bind();var f=e.uniforms;f.viewTransform=c,f.shape=this.shape;var h=e.attributes;this.positionBuffer.bind(),h.position.pointer(),this.weightBuffer.bind(),h.weight.pointer(i.UNSIGNED_BYTE,!1),this.colorBuffer.bind(),h.color.pointer(i.UNSIGNED_BYTE,!0),i.drawArrays(i.TRIANGLES,0,n)}}),f.drawPick=function(){var t=[1,0,0,0,1,0,0,0,1],e=[0,0,0,0];return function(r){var n=this.plot,i=this.pickShader,a=this.bounds,o=this.numVertices;if(!(o<=0)){var s=n.gl,l=n.dataBox,u=a[2]-a[0],c=a[3]-a[1],f=l[2]-l[0],h=l[3]-l[1];t[0]=2*u/f,t[4]=2*c/h,t[6]=2*(a[0]-l[0])/f-1,t[7]=2*(a[1]-l[1])/h-1;for(var p=0;p<4;++p)e[p]=r>>8*p&255;this.pickOffset=r,i.bind();var d=i.uniforms;d.viewTransform=t,d.pickOffset=e,d.shape=this.shape;var v=i.attributes;return this.positionBuffer.bind(),v.position.pointer(),this.weightBuffer.bind(),v.weight.pointer(s.UNSIGNED_BYTE,!1),this.idBuffer.bind(),v.pickId.pointer(s.UNSIGNED_BYTE,!1),s.drawArrays(s.TRIANGLES,0,o),r+this.shape[0]*this.shape[1]}}}(),f.pick=function(t,e,r){var n=this.pickOffset,i=this.shape[0]*this.shape[1];if(r<n||r>=n+i)return null;var a=r-n,o=this.xData,s=this.yData;return{object:this,pointId:a,dataCoord:[o[a%this.shape[0]],s[a/this.shape[0]|0]]}},f.update=function(t){var e=(t=t||{}).shape||[0,0],r=t.x||i(e[0]),o=t.y||i(e[1]),s=t.z||new Float32Array(e[0]*e[1]),l=!1!==t.zsmooth;this.xData=r,this.yData=o;var u,c,f,p,d=t.colorLevels||[0],v=t.colorValues||[0,0,0,1],g=d.length,y=this.bounds;l?(u=y[0]=r[0],c=y[1]=o[0],f=y[2]=r[r.length-1],p=y[3]=o[o.length-1]):(u=y[0]=r[0]+(r[1]-r[0])/2,c=y[1]=o[0]+(o[1]-o[0])/2,f=y[2]=r[r.length-1]+(r[r.length-1]-r[r.length-2])/2,p=y[3]=o[o.length-1]+(o[o.length-1]-o[o.length-2])/2);var m=1/(f-u),x=1/(p-c),b=e[0],_=e[1];this.shape=[b,_];var w=(l?(b-1)*(_-1):b*_)*(h.length>>>1);this.numVertices=w;for(var T=a.mallocUint8(4*w),k=a.mallocFloat32(2*w),A=a.mallocUint8(2*w),M=a.mallocUint32(w),S=0,E=l?b-1:b,L=l?_-1:_,C=0;C<L;++C){var P,O;l?(P=x*(o[C]-c),O=x*(o[C+1]-c)):(P=C<_-1?x*(o[C]-(o[C+1]-o[C])/2-c):x*(o[C]-(o[C]-o[C-1])/2-c),O=C<_-1?x*(o[C]+(o[C+1]-o[C])/2-c):x*(o[C]+(o[C]-o[C-1])/2-c));for(var I=0;I<E;++I){var D,z;l?(D=m*(r[I]-u),z=m*(r[I+1]-u)):(D=I<b-1?m*(r[I]-(r[I+1]-r[I])/2-u):m*(r[I]-(r[I]-r[I-1])/2-u),z=I<b-1?m*(r[I]+(r[I+1]-r[I])/2-u):m*(r[I]+(r[I]-r[I-1])/2-u));for(var R=0;R<h.length;R+=2){var F,B,N,j,U=h[R],V=h[R+1],H=s[l?(C+V)*b+(I+U):C*b+I],q=n.le(d,H);if(q<0)F=v[0],B=v[1],N=v[2],j=v[3];else if(q===g-1)F=v[4*g-4],B=v[4*g-3],N=v[4*g-2],j=v[4*g-1];else{var G=(H-d[q])/(d[q+1]-d[q]),Z=1-G,Y=4*q,W=4*(q+1);F=Z*v[Y]+G*v[W],B=Z*v[Y+1]+G*v[W+1],N=Z*v[Y+2]+G*v[W+2],j=Z*v[Y+3]+G*v[W+3]}T[4*S]=255*F,T[4*S+1]=255*B,T[4*S+2]=255*N,T[4*S+3]=255*j,k[2*S]=.5*D+.5*z,k[2*S+1]=.5*P+.5*O,A[2*S]=U,A[2*S+1]=V,M[S]=C*b+I,S+=1}}}this.positionBuffer.update(k),this.weightBuffer.update(A),this.colorBuffer.update(T),this.idBuffer.update(M),a.free(k),a.free(T),a.free(A),a.free(M)},f.dispose=function(){this.shader.dispose(),this.pickShader.dispose(),this.positionBuffer.dispose(),this.weightBuffer.dispose(),this.colorBuffer.dispose(),this.idBuffer.dispose(),this.plot.removeObject(this)}},1292:function(t,e,r){\"use strict\";var n=r(6832);t.exports={fragment:n([\"precision lowp float;\\n#define GLSLIFY 1\\nvarying vec4 fragColor;\\nvoid main() {\\n  gl_FragColor = vec4(fragColor.rgb * fragColor.a, fragColor.a);\\n}\\n\"]),vertex:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position;\\nattribute vec4 color;\\nattribute vec2 weight;\\n\\nuniform vec2 shape;\\nuniform mat3 viewTransform;\\n\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n  vec3 vPosition = viewTransform * vec3( position + (weight-.5)/(shape-1.) , 1.0);\\n  fragColor = color;\\n  gl_Position = vec4(vPosition.xy, 0, vPosition.z);\\n}\\n\"]),pickFragment:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragId;\\nvarying vec2 vWeight;\\n\\nuniform vec2 shape;\\nuniform vec4 pickOffset;\\n\\nvoid main() {\\n  vec2 d = step(.5, vWeight);\\n  vec4 id = fragId + pickOffset;\\n  id.x += d.x + d.y*shape.x;\\n\\n  id.y += floor(id.x / 256.0);\\n  id.x -= floor(id.x / 256.0) * 256.0;\\n\\n  id.z += floor(id.y / 256.0);\\n  id.y -= floor(id.y / 256.0) * 256.0;\\n\\n  id.w += floor(id.z / 256.0);\\n  id.z -= floor(id.z / 256.0) * 256.0;\\n\\n  gl_FragColor = id/255.;\\n}\\n\"]),pickVertex:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position;\\nattribute vec4 pickId;\\nattribute vec2 weight;\\n\\nuniform vec2 shape;\\nuniform mat3 viewTransform;\\n\\nvarying vec4 fragId;\\nvarying vec2 vWeight;\\n\\nvoid main() {\\n  vWeight = weight;\\n\\n  fragId = pickId;\\n\\n  vec3 vPosition = viewTransform * vec3( position + (weight-.5)/(shape-1.) , 1.0);\\n  gl_Position = vec4(vPosition.xy, 0, vPosition.z);\\n}\\n\"])}},248:function(t,e,r){var n=r(6832),i=r(5158),a=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position, nextPosition;\\nattribute float arcLength, lineWidth;\\nattribute vec4 color;\\n\\nuniform vec2 screenShape;\\nuniform float pixelRatio;\\nuniform mat4 model, view, projection;\\n\\nvarying vec4 fragColor;\\nvarying vec3 worldPosition;\\nvarying float pixelArcLength;\\n\\nvec4 project(vec3 p) {\\n  return projection * view * model * vec4(p, 1.0);\\n}\\n\\nvoid main() {\\n  vec4 startPoint = project(position);\\n  vec4 endPoint   = project(nextPosition);\\n\\n  vec2 A = startPoint.xy / startPoint.w;\\n  vec2 B =   endPoint.xy /   endPoint.w;\\n\\n  float clipAngle = atan(\\n    (B.y - A.y) * screenShape.y,\\n    (B.x - A.x) * screenShape.x\\n  );\\n\\n  vec2 offset = 0.5 * pixelRatio * lineWidth * vec2(\\n    sin(clipAngle),\\n    -cos(clipAngle)\\n  ) / screenShape;\\n\\n  gl_Position = vec4(startPoint.xy + startPoint.w * offset, startPoint.zw);\\n\\n  worldPosition = position;\\n  pixelArcLength = arcLength;\\n  fragColor = color;\\n}\\n\"]),o=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3      clipBounds[2];\\nuniform sampler2D dashTexture;\\nuniform float     dashScale;\\nuniform float     opacity;\\n\\nvarying vec3    worldPosition;\\nvarying float   pixelArcLength;\\nvarying vec4    fragColor;\\n\\nvoid main() {\\n  if (\\n    outOfRange(clipBounds[0], clipBounds[1], worldPosition) ||\\n    fragColor.a * opacity == 0.\\n  ) discard;\\n\\n  float dashWeight = texture2D(dashTexture, vec2(dashScale * pixelArcLength, 0)).r;\\n  if(dashWeight < 0.5) {\\n    discard;\\n  }\\n  gl_FragColor = fragColor * opacity;\\n}\\n\"]),s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\n#define FLOAT_MAX  1.70141184e38\\n#define FLOAT_MIN  1.17549435e-38\\n\\n// https://github.com/mikolalysenko/glsl-read-float/blob/master/index.glsl\\nvec4 packFloat(float v) {\\n  float av = abs(v);\\n\\n  //Handle special cases\\n  if(av < FLOAT_MIN) {\\n    return vec4(0.0, 0.0, 0.0, 0.0);\\n  } else if(v > FLOAT_MAX) {\\n    return vec4(127.0, 128.0, 0.0, 0.0) / 255.0;\\n  } else if(v < -FLOAT_MAX) {\\n    return vec4(255.0, 128.0, 0.0, 0.0) / 255.0;\\n  }\\n\\n  vec4 c = vec4(0,0,0,0);\\n\\n  //Compute exponent and mantissa\\n  float e = floor(log2(av));\\n  float m = av * pow(2.0, -e) - 1.0;\\n\\n  //Unpack mantissa\\n  c[1] = floor(128.0 * m);\\n  m -= c[1] / 128.0;\\n  c[2] = floor(32768.0 * m);\\n  m -= c[2] / 32768.0;\\n  c[3] = floor(8388608.0 * m);\\n\\n  //Unpack exponent\\n  float ebias = e + 127.0;\\n  c[0] = floor(ebias / 2.0);\\n  ebias -= c[0] * 2.0;\\n  c[1] += floor(ebias) * 128.0;\\n\\n  //Unpack sign bit\\n  c[0] += 128.0 * step(0.0, -v);\\n\\n  //Scale back to range\\n  return c / 255.0;\\n}\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform float pickId;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec3 worldPosition;\\nvarying float pixelArcLength;\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], worldPosition)) discard;\\n\\n  gl_FragColor = vec4(pickId/255.0, packFloat(pixelArcLength).xyz);\\n}\"]),l=[{name:\"position\",type:\"vec3\"},{name:\"nextPosition\",type:\"vec3\"},{name:\"arcLength\",type:\"float\"},{name:\"lineWidth\",type:\"float\"},{name:\"color\",type:\"vec4\"}];e.createShader=function(t){return i(t,a,o,null,l)},e.createPickShader=function(t){return i(t,a,s,null,l)}},6086:function(t,e,r){\"use strict\";t.exports=function(t){var e=t.gl||t.scene&&t.scene.gl,r=f(e);r.attributes.position.location=0,r.attributes.nextPosition.location=1,r.attributes.arcLength.location=2,r.attributes.lineWidth.location=3,r.attributes.color.location=4;var o=h(e);o.attributes.position.location=0,o.attributes.nextPosition.location=1,o.attributes.arcLength.location=2,o.attributes.lineWidth.location=3,o.attributes.color.location=4;for(var s=n(e),l=i(e,[{buffer:s,size:3,offset:0,stride:48},{buffer:s,size:3,offset:12,stride:48},{buffer:s,size:1,offset:24,stride:48},{buffer:s,size:1,offset:28,stride:48},{buffer:s,size:4,offset:32,stride:48}]),c=u(new Array(1024),[256,1,4]),p=0;p<1024;++p)c.data[p]=255;var d=a(e,c);d.wrap=e.REPEAT;var v=new y(e,r,o,s,l,d);return v.update(t),v};var n=r(5827),i=r(2944),a=r(8931),o=new Uint8Array(4),s=new Float32Array(o.buffer),l=r(5070),u=r(5050),c=r(248),f=c.createShader,h=c.createPickShader,p=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function d(t,e){for(var r=0,n=0;n<3;++n){var i=t[n]-e[n];r+=i*i}return Math.sqrt(r)}function v(t){for(var e=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],r=0;r<3;++r)e[0][r]=Math.max(t[0][r],e[0][r]),e[1][r]=Math.min(t[1][r],e[1][r]);return e}function g(t,e,r,n){this.arcLength=t,this.position=e,this.index=r,this.dataCoordinate=n}function y(t,e,r,n,i,a){this.gl=t,this.shader=e,this.pickShader=r,this.buffer=n,this.vao=i,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.points=[],this.arcLength=[],this.vertexCount=0,this.bounds=[[0,0,0],[0,0,0]],this.pickId=0,this.lineWidth=1,this.texture=a,this.dashScale=1,this.opacity=1,this.hasAlpha=!1,this.dirty=!0,this.pixelRatio=1}var m=y.prototype;m.isTransparent=function(){return this.hasAlpha},m.isOpaque=function(){return!this.hasAlpha},m.pickSlots=1,m.setPickBase=function(t){this.pickId=t},m.drawTransparent=m.draw=function(t){if(this.vertexCount){var e=this.gl,r=this.shader,n=this.vao;r.bind(),r.uniforms={model:t.model||p,view:t.view||p,projection:t.projection||p,clipBounds:v(this.clipBounds),dashTexture:this.texture.bind(),dashScale:this.dashScale/this.arcLength[this.arcLength.length-1],opacity:this.opacity,screenShape:[e.drawingBufferWidth,e.drawingBufferHeight],pixelRatio:this.pixelRatio},n.bind(),n.draw(e.TRIANGLE_STRIP,this.vertexCount),n.unbind()}},m.drawPick=function(t){if(this.vertexCount){var e=this.gl,r=this.pickShader,n=this.vao;r.bind(),r.uniforms={model:t.model||p,view:t.view||p,projection:t.projection||p,pickId:this.pickId,clipBounds:v(this.clipBounds),screenShape:[e.drawingBufferWidth,e.drawingBufferHeight],pixelRatio:this.pixelRatio},n.bind(),n.draw(e.TRIANGLE_STRIP,this.vertexCount),n.unbind()}},m.update=function(t){var e,r;this.dirty=!0;var n=!!t.connectGaps;\"dashScale\"in t&&(this.dashScale=t.dashScale),this.hasAlpha=!1,\"opacity\"in t&&(this.opacity=+t.opacity,this.opacity<1&&(this.hasAlpha=!0));var i=[],a=[],o=[],s=0,c=0,f=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],h=t.position||t.positions;if(h){var p=t.color||t.colors||[0,0,0,1],v=t.lineWidth||1,g=!1;t:for(e=1;e<h.length;++e){var y,m,x,b=h[e-1],_=h[e];for(a.push(s),o.push(b.slice()),r=0;r<3;++r){if(isNaN(b[r])||isNaN(_[r])||!isFinite(b[r])||!isFinite(_[r])){if(!n&&i.length>0){for(var w=0;w<24;++w)i.push(i[i.length-12]);c+=2,g=!0}continue t}f[0][r]=Math.min(f[0][r],b[r],_[r]),f[1][r]=Math.max(f[1][r],b[r],_[r])}Array.isArray(p[0])?(y=p.length>e-1?p[e-1]:p.length>0?p[p.length-1]:[0,0,0,1],m=p.length>e?p[e]:p.length>0?p[p.length-1]:[0,0,0,1]):y=m=p,3===y.length&&(y=[y[0],y[1],y[2],1]),3===m.length&&(m=[m[0],m[1],m[2],1]),!this.hasAlpha&&y[3]<1&&(this.hasAlpha=!0),x=Array.isArray(v)?v.length>e-1?v[e-1]:v.length>0?v[v.length-1]:[0,0,0,1]:v;var T=s;if(s+=d(b,_),g){for(r=0;r<2;++r)i.push(b[0],b[1],b[2],_[0],_[1],_[2],T,x,y[0],y[1],y[2],y[3]);c+=2,g=!1}i.push(b[0],b[1],b[2],_[0],_[1],_[2],T,x,y[0],y[1],y[2],y[3],b[0],b[1],b[2],_[0],_[1],_[2],T,-x,y[0],y[1],y[2],y[3],_[0],_[1],_[2],b[0],b[1],b[2],s,-x,m[0],m[1],m[2],m[3],_[0],_[1],_[2],b[0],b[1],b[2],s,x,m[0],m[1],m[2],m[3]),c+=4}}if(this.buffer.update(i),a.push(s),o.push(h[h.length-1].slice()),this.bounds=f,this.vertexCount=c,this.points=o,this.arcLength=a,\"dashes\"in t){var k=t.dashes.slice();for(k.unshift(0),e=1;e<k.length;++e)k[e]=k[e-1]+k[e];var A=u(new Array(1024),[256,1,4]);for(e=0;e<256;++e){for(r=0;r<4;++r)A.set(e,0,r,0);1&l.le(k,k[k.length-1]*e/255)?A.set(e,0,0,0):A.set(e,0,0,255)}this.texture.setPixels(A)}},m.dispose=function(){this.shader.dispose(),this.vao.dispose(),this.buffer.dispose()},m.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=function(t,e,r,n){return o[0]=0,o[1]=r,o[2]=e,o[3]=t,s[0]}(t.value[0],t.value[1],t.value[2]),r=l.le(this.arcLength,e);if(r<0)return null;if(r===this.arcLength.length-1)return new g(this.arcLength[this.arcLength.length-1],this.points[this.points.length-1].slice(),r);for(var n=this.points[r],i=this.points[Math.min(r+1,this.points.length-1)],a=(e-this.arcLength[r])/(this.arcLength[r+1]-this.arcLength[r]),u=1-a,c=[0,0,0],f=0;f<3;++f)c[f]=u*n[f]+a*i[f];var h=Math.min(a<.5?r:r+1,this.points.length-1);return new g(e,c,h,this.points[h])}},7332:function(t){t.exports=function(t){var e=new Float32Array(16);return e[0]=t[0],e[1]=t[1],e[2]=t[2],e[3]=t[3],e[4]=t[4],e[5]=t[5],e[6]=t[6],e[7]=t[7],e[8]=t[8],e[9]=t[9],e[10]=t[10],e[11]=t[11],e[12]=t[12],e[13]=t[13],e[14]=t[14],e[15]=t[15],e}},9823:function(t){t.exports=function(){var t=new Float32Array(16);return t[0]=1,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=1,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=1,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t}},7787:function(t){t.exports=function(t){var e=t[0],r=t[1],n=t[2],i=t[3],a=t[4],o=t[5],s=t[6],l=t[7],u=t[8],c=t[9],f=t[10],h=t[11],p=t[12],d=t[13],v=t[14],g=t[15];return(e*o-r*a)*(f*g-h*v)-(e*s-n*a)*(c*g-h*d)+(e*l-i*a)*(c*v-f*d)+(r*s-n*o)*(u*g-h*p)-(r*l-i*o)*(u*v-f*p)+(n*l-i*s)*(u*d-c*p)}},5950:function(t){t.exports=function(t,e){var r=e[0],n=e[1],i=e[2],a=e[3],o=r+r,s=n+n,l=i+i,u=r*o,c=n*o,f=n*s,h=i*o,p=i*s,d=i*l,v=a*o,g=a*s,y=a*l;return t[0]=1-f-d,t[1]=c+y,t[2]=h-g,t[3]=0,t[4]=c-y,t[5]=1-u-d,t[6]=p+v,t[7]=0,t[8]=h+g,t[9]=p-v,t[10]=1-u-f,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t}},7280:function(t){t.exports=function(t,e,r){var n=e[0],i=e[1],a=e[2],o=e[3],s=n+n,l=i+i,u=a+a,c=n*s,f=n*l,h=n*u,p=i*l,d=i*u,v=a*u,g=o*s,y=o*l,m=o*u;return t[0]=1-(p+v),t[1]=f+m,t[2]=h-y,t[3]=0,t[4]=f-m,t[5]=1-(c+v),t[6]=d+g,t[7]=0,t[8]=h+y,t[9]=d-g,t[10]=1-(c+p),t[11]=0,t[12]=r[0],t[13]=r[1],t[14]=r[2],t[15]=1,t}},9947:function(t){t.exports=function(t){return t[0]=1,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=1,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=1,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t}},7437:function(t){t.exports=function(t,e){var r=e[0],n=e[1],i=e[2],a=e[3],o=e[4],s=e[5],l=e[6],u=e[7],c=e[8],f=e[9],h=e[10],p=e[11],d=e[12],v=e[13],g=e[14],y=e[15],m=r*s-n*o,x=r*l-i*o,b=r*u-a*o,_=n*l-i*s,w=n*u-a*s,T=i*u-a*l,k=c*v-f*d,A=c*g-h*d,M=c*y-p*d,S=f*g-h*v,E=f*y-p*v,L=h*y-p*g,C=m*L-x*E+b*S+_*M-w*A+T*k;return C?(C=1/C,t[0]=(s*L-l*E+u*S)*C,t[1]=(i*E-n*L-a*S)*C,t[2]=(v*T-g*w+y*_)*C,t[3]=(h*w-f*T-p*_)*C,t[4]=(l*M-o*L-u*A)*C,t[5]=(r*L-i*M+a*A)*C,t[6]=(g*b-d*T-y*x)*C,t[7]=(c*T-h*b+p*x)*C,t[8]=(o*E-s*M+u*k)*C,t[9]=(n*M-r*E-a*k)*C,t[10]=(d*w-v*b+y*m)*C,t[11]=(f*b-c*w-p*m)*C,t[12]=(s*A-o*S-l*k)*C,t[13]=(r*S-n*A+i*k)*C,t[14]=(v*x-d*_-g*m)*C,t[15]=(c*_-f*x+h*m)*C,t):null}},3012:function(t,e,r){var n=r(9947);t.exports=function(t,e,r,i){var a,o,s,l,u,c,f,h,p,d,v=e[0],g=e[1],y=e[2],m=i[0],x=i[1],b=i[2],_=r[0],w=r[1],T=r[2];return Math.abs(v-_)<1e-6&&Math.abs(g-w)<1e-6&&Math.abs(y-T)<1e-6?n(t):(f=v-_,h=g-w,p=y-T,a=x*(p*=d=1/Math.sqrt(f*f+h*h+p*p))-b*(h*=d),o=b*(f*=d)-m*p,s=m*h-x*f,(d=Math.sqrt(a*a+o*o+s*s))?(a*=d=1/d,o*=d,s*=d):(a=0,o=0,s=0),l=h*s-p*o,u=p*a-f*s,c=f*o-h*a,(d=Math.sqrt(l*l+u*u+c*c))?(l*=d=1/d,u*=d,c*=d):(l=0,u=0,c=0),t[0]=a,t[1]=l,t[2]=f,t[3]=0,t[4]=o,t[5]=u,t[6]=h,t[7]=0,t[8]=s,t[9]=c,t[10]=p,t[11]=0,t[12]=-(a*v+o*g+s*y),t[13]=-(l*v+u*g+c*y),t[14]=-(f*v+h*g+p*y),t[15]=1,t)}},104:function(t){t.exports=function(t,e,r){var n=e[0],i=e[1],a=e[2],o=e[3],s=e[4],l=e[5],u=e[6],c=e[7],f=e[8],h=e[9],p=e[10],d=e[11],v=e[12],g=e[13],y=e[14],m=e[15],x=r[0],b=r[1],_=r[2],w=r[3];return t[0]=x*n+b*s+_*f+w*v,t[1]=x*i+b*l+_*h+w*g,t[2]=x*a+b*u+_*p+w*y,t[3]=x*o+b*c+_*d+w*m,x=r[4],b=r[5],_=r[6],w=r[7],t[4]=x*n+b*s+_*f+w*v,t[5]=x*i+b*l+_*h+w*g,t[6]=x*a+b*u+_*p+w*y,t[7]=x*o+b*c+_*d+w*m,x=r[8],b=r[9],_=r[10],w=r[11],t[8]=x*n+b*s+_*f+w*v,t[9]=x*i+b*l+_*h+w*g,t[10]=x*a+b*u+_*p+w*y,t[11]=x*o+b*c+_*d+w*m,x=r[12],b=r[13],_=r[14],w=r[15],t[12]=x*n+b*s+_*f+w*v,t[13]=x*i+b*l+_*h+w*g,t[14]=x*a+b*u+_*p+w*y,t[15]=x*o+b*c+_*d+w*m,t}},5268:function(t){t.exports=function(t,e,r,n,i,a,o){var s=1/(e-r),l=1/(n-i),u=1/(a-o);return t[0]=-2*s,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=-2*l,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=2*u,t[11]=0,t[12]=(e+r)*s,t[13]=(i+n)*l,t[14]=(o+a)*u,t[15]=1,t}},1120:function(t){t.exports=function(t,e,r,n,i){var a=1/Math.tan(e/2),o=1/(n-i);return t[0]=a/r,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=a,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=(i+n)*o,t[11]=-1,t[12]=0,t[13]=0,t[14]=2*i*n*o,t[15]=0,t}},4422:function(t){t.exports=function(t,e,r,n){var i,a,o,s,l,u,c,f,h,p,d,v,g,y,m,x,b,_,w,T,k,A,M,S,E=n[0],L=n[1],C=n[2],P=Math.sqrt(E*E+L*L+C*C);return Math.abs(P)<1e-6?null:(E*=P=1/P,L*=P,C*=P,i=Math.sin(r),o=1-(a=Math.cos(r)),s=e[0],l=e[1],u=e[2],c=e[3],f=e[4],h=e[5],p=e[6],d=e[7],v=e[8],g=e[9],y=e[10],m=e[11],x=E*E*o+a,b=L*E*o+C*i,_=C*E*o-L*i,w=E*L*o-C*i,T=L*L*o+a,k=C*L*o+E*i,A=E*C*o+L*i,M=L*C*o-E*i,S=C*C*o+a,t[0]=s*x+f*b+v*_,t[1]=l*x+h*b+g*_,t[2]=u*x+p*b+y*_,t[3]=c*x+d*b+m*_,t[4]=s*w+f*T+v*k,t[5]=l*w+h*T+g*k,t[6]=u*w+p*T+y*k,t[7]=c*w+d*T+m*k,t[8]=s*A+f*M+v*S,t[9]=l*A+h*M+g*S,t[10]=u*A+p*M+y*S,t[11]=c*A+d*M+m*S,e!==t&&(t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]),t)}},6109:function(t){t.exports=function(t,e,r){var n=Math.sin(r),i=Math.cos(r),a=e[4],o=e[5],s=e[6],l=e[7],u=e[8],c=e[9],f=e[10],h=e[11];return e!==t&&(t[0]=e[0],t[1]=e[1],t[2]=e[2],t[3]=e[3],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]),t[4]=a*i+u*n,t[5]=o*i+c*n,t[6]=s*i+f*n,t[7]=l*i+h*n,t[8]=u*i-a*n,t[9]=c*i-o*n,t[10]=f*i-s*n,t[11]=h*i-l*n,t}},7115:function(t){t.exports=function(t,e,r){var n=Math.sin(r),i=Math.cos(r),a=e[0],o=e[1],s=e[2],l=e[3],u=e[8],c=e[9],f=e[10],h=e[11];return e!==t&&(t[4]=e[4],t[5]=e[5],t[6]=e[6],t[7]=e[7],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]),t[0]=a*i-u*n,t[1]=o*i-c*n,t[2]=s*i-f*n,t[3]=l*i-h*n,t[8]=a*n+u*i,t[9]=o*n+c*i,t[10]=s*n+f*i,t[11]=l*n+h*i,t}},5240:function(t){t.exports=function(t,e,r){var n=Math.sin(r),i=Math.cos(r),a=e[0],o=e[1],s=e[2],l=e[3],u=e[4],c=e[5],f=e[6],h=e[7];return e!==t&&(t[8]=e[8],t[9]=e[9],t[10]=e[10],t[11]=e[11],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]),t[0]=a*i+u*n,t[1]=o*i+c*n,t[2]=s*i+f*n,t[3]=l*i+h*n,t[4]=u*i-a*n,t[5]=c*i-o*n,t[6]=f*i-s*n,t[7]=h*i-l*n,t}},3668:function(t){t.exports=function(t,e,r){var n=r[0],i=r[1],a=r[2];return t[0]=e[0]*n,t[1]=e[1]*n,t[2]=e[2]*n,t[3]=e[3]*n,t[4]=e[4]*i,t[5]=e[5]*i,t[6]=e[6]*i,t[7]=e[7]*i,t[8]=e[8]*a,t[9]=e[9]*a,t[10]=e[10]*a,t[11]=e[11]*a,t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15],t}},998:function(t){t.exports=function(t,e,r){var n,i,a,o,s,l,u,c,f,h,p,d,v=r[0],g=r[1],y=r[2];return e===t?(t[12]=e[0]*v+e[4]*g+e[8]*y+e[12],t[13]=e[1]*v+e[5]*g+e[9]*y+e[13],t[14]=e[2]*v+e[6]*g+e[10]*y+e[14],t[15]=e[3]*v+e[7]*g+e[11]*y+e[15]):(n=e[0],i=e[1],a=e[2],o=e[3],s=e[4],l=e[5],u=e[6],c=e[7],f=e[8],h=e[9],p=e[10],d=e[11],t[0]=n,t[1]=i,t[2]=a,t[3]=o,t[4]=s,t[5]=l,t[6]=u,t[7]=c,t[8]=f,t[9]=h,t[10]=p,t[11]=d,t[12]=n*v+s*g+f*y+e[12],t[13]=i*v+l*g+h*y+e[13],t[14]=a*v+u*g+p*y+e[14],t[15]=o*v+c*g+d*y+e[15]),t}},2142:function(t){t.exports=function(t,e){if(t===e){var r=e[1],n=e[2],i=e[3],a=e[6],o=e[7],s=e[11];t[1]=e[4],t[2]=e[8],t[3]=e[12],t[4]=r,t[6]=e[9],t[7]=e[13],t[8]=n,t[9]=a,t[11]=e[14],t[12]=i,t[13]=o,t[14]=s}else t[0]=e[0],t[1]=e[4],t[2]=e[8],t[3]=e[12],t[4]=e[1],t[5]=e[5],t[6]=e[9],t[7]=e[13],t[8]=e[2],t[9]=e[6],t[10]=e[10],t[11]=e[14],t[12]=e[3],t[13]=e[7],t[14]=e[11],t[15]=e[15];return t}},4340:function(t,e,r){\"use strict\";var n=r(957),i=r(7309);function a(t,e){for(var r=[0,0,0,0],n=0;n<4;++n)for(var i=0;i<4;++i)r[i]+=t[4*n+i]*e[n];return r}function o(t,e,r,n,i){for(var o=a(n,a(r,a(e,[t[0],t[1],t[2],1]))),s=0;s<3;++s)o[s]/=o[3];return[.5*i[0]*(1+o[0]),.5*i[1]*(1-o[1])]}function s(t,e){for(var r=[0,0,0],n=0;n<t.length;++n)for(var i=t[n],a=e[n],o=0;o<3;++o)r[o]+=a*i[o];return r}t.exports=function(t,e,r,a,l,u){if(1===t.length)return[0,t[0].slice()];for(var c=new Array(t.length),f=0;f<t.length;++f)c[f]=o(t[f],r,a,l,u);var h=0,p=1/0;for(f=0;f<c.length;++f){for(var d=0,v=0;v<2;++v)d+=Math.pow(c[f][v]-e[v],2);d<p&&(p=d,h=f)}var g=function(t,e){if(2===t.length){for(var r=0,a=0,o=0;o<2;++o)r+=Math.pow(e[o]-t[0][o],2),a+=Math.pow(e[o]-t[1][o],2);return(r=Math.sqrt(r))+(a=Math.sqrt(a))<1e-6?[1,0]:[a/(r+a),r/(a+r)]}if(3===t.length){var s=[0,0];return i(t[0],t[1],t[2],e,s),n(t,s)}return[]}(c,e),y=0;for(f=0;f<3;++f){if(g[f]<-.001||g[f]>1.0001)return null;y+=g[f]}return Math.abs(y-1)>.001?null:[h,s(t,g),g]}},2056:function(t,e,r){var n=r(6832),i=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position, normal;\\nattribute vec4 color;\\nattribute vec2 uv;\\n\\nuniform mat4 model\\n           , view\\n           , projection\\n           , inverseModel;\\nuniform vec3 eyePosition\\n           , lightPosition;\\n\\nvarying vec3 f_normal\\n           , f_lightDirection\\n           , f_eyeDirection\\n           , f_data;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvec4 project(vec3 p) {\\n  return projection * view * model * vec4(p, 1.0);\\n}\\n\\nvoid main() {\\n  gl_Position      = project(position);\\n\\n  //Lighting geometry parameters\\n  vec4 cameraCoordinate = view * vec4(position , 1.0);\\n  cameraCoordinate.xyz /= cameraCoordinate.w;\\n  f_lightDirection = lightPosition - cameraCoordinate.xyz;\\n  f_eyeDirection   = eyePosition - cameraCoordinate.xyz;\\n  f_normal  = normalize((vec4(normal, 0.0) * inverseModel).xyz);\\n\\n  f_color          = color;\\n  f_data           = position;\\n  f_uv             = uv;\\n}\\n\"]),a=n([\"#extension GL_OES_standard_derivatives : enable\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nfloat beckmannDistribution(float x, float roughness) {\\n  float NdotH = max(x, 0.0001);\\n  float cos2Alpha = NdotH * NdotH;\\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\\n  float roughness2 = roughness * roughness;\\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\\n  return exp(tan2Alpha / roughness2) / denom;\\n}\\n\\nfloat cookTorranceSpecular(\\n  vec3 lightDirection,\\n  vec3 viewDirection,\\n  vec3 surfaceNormal,\\n  float roughness,\\n  float fresnel) {\\n\\n  float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\\n  float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\\n\\n  //Half angle vector\\n  vec3 H = normalize(lightDirection + viewDirection);\\n\\n  //Geometric term\\n  float NdotH = max(dot(surfaceNormal, H), 0.0);\\n  float VdotH = max(dot(viewDirection, H), 0.000001);\\n  float LdotH = max(dot(lightDirection, H), 0.000001);\\n  float G1 = (2.0 * NdotH * VdotN) / VdotH;\\n  float G2 = (2.0 * NdotH * LdotN) / LdotH;\\n  float G = min(1.0, min(G1, G2));\\n  \\n  //Distribution term\\n  float D = beckmannDistribution(NdotH, roughness);\\n\\n  //Fresnel term\\n  float F = pow(1.0 - VdotN, fresnel);\\n\\n  //Multiply terms and done\\n  return  G * F * D / max(3.14159265 * VdotN, 0.000001);\\n}\\n\\n//#pragma glslify: beckmann = require(glsl-specular-beckmann) // used in gl-surface3d\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform float roughness\\n            , fresnel\\n            , kambient\\n            , kdiffuse\\n            , kspecular;\\nuniform sampler2D texture;\\n\\nvarying vec3 f_normal\\n           , f_lightDirection\\n           , f_eyeDirection\\n           , f_data;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (f_color.a == 0.0 ||\\n    outOfRange(clipBounds[0], clipBounds[1], f_data)\\n  ) discard;\\n\\n  vec3 N = normalize(f_normal);\\n  vec3 L = normalize(f_lightDirection);\\n  vec3 V = normalize(f_eyeDirection);\\n\\n  if(gl_FrontFacing) {\\n    N = -N;\\n  }\\n\\n  float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\\n  //float specular = max(0.0, beckmann(L, V, N, roughness)); // used in gl-surface3d\\n\\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\\n\\n  vec4 surfaceColor = vec4(f_color.rgb, 1.0) * texture2D(texture, f_uv);\\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\\n\\n  gl_FragColor = litColor * f_color.a;\\n}\\n\"]),o=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 uv;\\n\\nuniform mat4 model, view, projection;\\n\\nvarying vec4 f_color;\\nvarying vec3 f_data;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  gl_Position = projection * view * model * vec4(position, 1.0);\\n  f_color = color;\\n  f_data  = position;\\n  f_uv    = uv;\\n}\"]),s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform sampler2D texture;\\nuniform float opacity;\\n\\nvarying vec4 f_color;\\nvarying vec3 f_data;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_data)) discard;\\n\\n  gl_FragColor = f_color * texture2D(texture, f_uv) * opacity;\\n}\"]),l=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 uv;\\nattribute float pointSize;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0.0, 0.0 ,0.0 ,0.0);\\n  } else {\\n    gl_Position = projection * view * model * vec4(position, 1.0);\\n  }\\n  gl_PointSize = pointSize;\\n  f_color = color;\\n  f_uv = uv;\\n}\"]),u=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform sampler2D texture;\\nuniform float opacity;\\n\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  vec2 pointR = gl_PointCoord.xy - vec2(0.5, 0.5);\\n  if(dot(pointR, pointR) > 0.25) {\\n    discard;\\n  }\\n  gl_FragColor = f_color * texture2D(texture, f_uv) * opacity;\\n}\"]),c=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  gl_Position = projection * view * model * vec4(position, 1.0);\\n  f_id        = id;\\n  f_position  = position;\\n}\"]),f=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3  clipBounds[2];\\nuniform float pickId;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n\\n  gl_FragColor = vec4(pickId, f_id.xyz);\\n}\"]),h=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3  position;\\nattribute float pointSize;\\nattribute vec4  id;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0.0, 0.0, 0.0, 0.0);\\n  } else {\\n    gl_Position  = projection * view * model * vec4(position, 1.0);\\n    gl_PointSize = pointSize;\\n  }\\n  f_id         = id;\\n  f_position   = position;\\n}\"]),p=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\n\\nuniform mat4 model, view, projection;\\n\\nvoid main() {\\n  gl_Position = projection * view * model * vec4(position, 1.0);\\n}\"]),d=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform vec3 contourColor;\\n\\nvoid main() {\\n  gl_FragColor = vec4(contourColor, 1.0);\\n}\\n\"]);e.meshShader={vertex:i,fragment:a,attributes:[{name:\"position\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"}]},e.wireShader={vertex:o,fragment:s,attributes:[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"}]},e.pointShader={vertex:l,fragment:u,attributes:[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"},{name:\"pointSize\",type:\"float\"}]},e.pickShader={vertex:c,fragment:f,attributes:[{name:\"position\",type:\"vec3\"},{name:\"id\",type:\"vec4\"}]},e.pointPickShader={vertex:h,fragment:f,attributes:[{name:\"position\",type:\"vec3\"},{name:\"pointSize\",type:\"float\"},{name:\"id\",type:\"vec4\"}]},e.contourShader={vertex:p,fragment:d,attributes:[{name:\"position\",type:\"vec3\"}]}},8116:function(t,e,r){\"use strict\";var n=r(5158),i=r(5827),a=r(2944),o=r(8931),s=r(115),l=r(104),u=r(7437),c=r(5050),f=r(9156),h=r(7212),p=r(5306),d=r(2056),v=r(4340),g=d.meshShader,y=d.wireShader,m=d.pointShader,x=d.pickShader,b=d.pointPickShader,_=d.contourShader,w=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function T(t,e,r,n,i,a,o,s,l,u,c,f,h,p,d,v,g,y,m,x,b,_,T,k,A,M,S){this.gl=t,this.pixelRatio=1,this.cells=[],this.positions=[],this.intensity=[],this.texture=e,this.dirty=!0,this.triShader=r,this.lineShader=n,this.pointShader=i,this.pickShader=a,this.pointPickShader=o,this.contourShader=s,this.trianglePositions=l,this.triangleColors=c,this.triangleNormals=h,this.triangleUVs=f,this.triangleIds=u,this.triangleVAO=p,this.triangleCount=0,this.lineWidth=1,this.edgePositions=d,this.edgeColors=g,this.edgeUVs=y,this.edgeIds=v,this.edgeVAO=m,this.edgeCount=0,this.pointPositions=x,this.pointColors=_,this.pointUVs=T,this.pointSizes=k,this.pointIds=b,this.pointVAO=A,this.pointCount=0,this.contourLineWidth=1,this.contourPositions=M,this.contourVAO=S,this.contourCount=0,this.contourColor=[0,0,0],this.contourEnable=!0,this.pickVertex=!0,this.pickId=1,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.lightPosition=[1e5,1e5,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.opacity=1,this.hasAlpha=!1,this.opacityscale=!1,this._model=w,this._view=w,this._projection=w,this._resolution=[1,1]}var k=T.prototype;function A(t,e){if(!e)return 1;if(!e.length)return 1;for(var r=0;r<e.length;++r){if(e.length<2)return 1;if(e[r][0]===t)return e[r][1];if(e[r][0]>t&&r>0){var n=(e[r][0]-t)/(e[r][0]-e[r-1][0]);return e[r][1]*(1-n)+n*e[r-1][1]}}return 1}function M(t){var e=n(t,m.vertex,m.fragment);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e.attributes.pointSize.location=4,e}function S(t){var e=n(t,x.vertex,x.fragment);return e.attributes.position.location=0,e.attributes.id.location=1,e}function E(t){var e=n(t,b.vertex,b.fragment);return e.attributes.position.location=0,e.attributes.id.location=1,e.attributes.pointSize.location=4,e}function L(t){var e=n(t,_.vertex,_.fragment);return e.attributes.position.location=0,e}k.isOpaque=function(){return!this.hasAlpha},k.isTransparent=function(){return this.hasAlpha},k.pickSlots=1,k.setPickBase=function(t){this.pickId=t},k.highlight=function(t){if(t&&this.contourEnable){for(var e=h(this.cells,this.intensity,t.intensity),r=e.cells,n=e.vertexIds,i=e.vertexWeights,a=r.length,o=p.mallocFloat32(6*a),s=0,l=0;l<a;++l)for(var u=r[l],c=0;c<2;++c){var f=u[0];2===u.length&&(f=u[c]);for(var d=n[f][0],v=n[f][1],g=i[f],y=1-g,m=this.positions[d],x=this.positions[v],b=0;b<3;++b)o[s++]=g*m[b]+y*x[b]}this.contourCount=s/3|0,this.contourPositions.update(o.subarray(0,s)),p.free(o)}else this.contourCount=0},k.update=function(t){t=t||{};var e=this.gl;this.dirty=!0,\"contourEnable\"in t&&(this.contourEnable=t.contourEnable),\"contourColor\"in t&&(this.contourColor=t.contourColor),\"lineWidth\"in t&&(this.lineWidth=t.lineWidth),\"lightPosition\"in t&&(this.lightPosition=t.lightPosition),this.hasAlpha=!1,\"opacity\"in t&&(this.opacity=t.opacity,this.opacity<1&&(this.hasAlpha=!0)),\"opacityscale\"in t&&(this.opacityscale=t.opacityscale,this.hasAlpha=!0),\"ambient\"in t&&(this.ambientLight=t.ambient),\"diffuse\"in t&&(this.diffuseLight=t.diffuse),\"specular\"in t&&(this.specularLight=t.specular),\"roughness\"in t&&(this.roughness=t.roughness),\"fresnel\"in t&&(this.fresnel=t.fresnel),t.texture?(this.texture.dispose(),this.texture=o(e,t.texture)):t.colormap&&(this.texture.shape=[256,256],this.texture.minFilter=e.LINEAR_MIPMAP_LINEAR,this.texture.magFilter=e.LINEAR,this.texture.setPixels(function(t,e){for(var r=f({colormap:t,nshades:256,format:\"rgba\"}),n=new Uint8Array(1024),i=0;i<256;++i){for(var a=r[i],o=0;o<3;++o)n[4*i+o]=a[o];n[4*i+3]=e?255*A(i/255,e):255*a[3]}return c(n,[256,256,4],[4,0,1])}(t.colormap,this.opacityscale)),this.texture.generateMipmap());var r=t.cells,n=t.positions;if(n&&r){var i=[],a=[],l=[],u=[],h=[],p=[],d=[],v=[],g=[],y=[],m=[],x=[],b=[],_=[];this.cells=r,this.positions=n;var w=t.vertexNormals,T=t.cellNormals,k=void 0===t.vertexNormalsEpsilon?1e-6:t.vertexNormalsEpsilon,M=void 0===t.faceNormalsEpsilon?1e-6:t.faceNormalsEpsilon;t.useFacetNormals&&!T&&(T=s.faceNormals(r,n,M)),T||w||(w=s.vertexNormals(r,n,k));var S=t.vertexColors,E=t.cellColors,L=t.meshColor||[1,1,1,1],C=t.vertexUVs,P=t.vertexIntensity,O=t.cellUVs,I=t.cellIntensity,D=1/0,z=-1/0;if(!C&&!O)if(P)if(t.vertexIntensityBounds)D=+t.vertexIntensityBounds[0],z=+t.vertexIntensityBounds[1];else for(var R=0;R<P.length;++R){var F=P[R];D=Math.min(D,F),z=Math.max(z,F)}else if(I)if(t.cellIntensityBounds)D=+t.cellIntensityBounds[0],z=+t.cellIntensityBounds[1];else for(R=0;R<I.length;++R)F=I[R],D=Math.min(D,F),z=Math.max(z,F);else for(R=0;R<n.length;++R)F=n[R][2],D=Math.min(D,F),z=Math.max(z,F);this.intensity=P||I||function(t){for(var e=t.length,r=new Array(e),n=0;n<e;++n)r[n]=t[n][2];return r}(n),this.pickVertex=!(I||E);var B=t.pointSizes,N=t.pointSize||1;for(this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],R=0;R<n.length;++R)for(var j=n[R],U=0;U<3;++U)!isNaN(j[U])&&isFinite(j[U])&&(this.bounds[0][U]=Math.min(this.bounds[0][U],j[U]),this.bounds[1][U]=Math.max(this.bounds[1][U],j[U]));var V=0,H=0,q=0;t:for(R=0;R<r.length;++R){var G=r[R];switch(G.length){case 1:for(j=n[Y=G[0]],U=0;U<3;++U)if(isNaN(j[U])||!isFinite(j[U]))continue t;y.push(j[0],j[1],j[2]),W=S?S[Y]:E?E[R]:L,this.opacityscale&&P?a.push(W[0],W[1],W[2],this.opacity*A((P[Y]-D)/(z-D),this.opacityscale)):3===W.length?m.push(W[0],W[1],W[2],this.opacity):(m.push(W[0],W[1],W[2],W[3]*this.opacity),W[3]<1&&(this.hasAlpha=!0)),X=C?C[Y]:P?[(P[Y]-D)/(z-D),0]:O?O[R]:I?[(I[R]-D)/(z-D),0]:[(j[2]-D)/(z-D),0],x.push(X[0],X[1]),B?b.push(B[Y]):b.push(N),_.push(R),q+=1;break;case 2:for(U=0;U<2;++U){j=n[Y=G[U]];for(var Z=0;Z<3;++Z)if(isNaN(j[Z])||!isFinite(j[Z]))continue t}for(U=0;U<2;++U)j=n[Y=G[U]],p.push(j[0],j[1],j[2]),W=S?S[Y]:E?E[R]:L,this.opacityscale&&P?a.push(W[0],W[1],W[2],this.opacity*A((P[Y]-D)/(z-D),this.opacityscale)):3===W.length?d.push(W[0],W[1],W[2],this.opacity):(d.push(W[0],W[1],W[2],W[3]*this.opacity),W[3]<1&&(this.hasAlpha=!0)),X=C?C[Y]:P?[(P[Y]-D)/(z-D),0]:O?O[R]:I?[(I[R]-D)/(z-D),0]:[(j[2]-D)/(z-D),0],v.push(X[0],X[1]),g.push(R);H+=1;break;case 3:for(U=0;U<3;++U)for(j=n[Y=G[U]],Z=0;Z<3;++Z)if(isNaN(j[Z])||!isFinite(j[Z]))continue t;for(U=0;U<3;++U){var Y,W,X,J;j=n[Y=G[2-U]],i.push(j[0],j[1],j[2]),(W=S?S[Y]:E?E[R]:L)?this.opacityscale&&P?a.push(W[0],W[1],W[2],this.opacity*A((P[Y]-D)/(z-D),this.opacityscale)):3===W.length?a.push(W[0],W[1],W[2],this.opacity):(a.push(W[0],W[1],W[2],W[3]*this.opacity),W[3]<1&&(this.hasAlpha=!0)):a.push(.5,.5,.5,1),X=C?C[Y]:P?[(P[Y]-D)/(z-D),0]:O?O[R]:I?[(I[R]-D)/(z-D),0]:[(j[2]-D)/(z-D),0],u.push(X[0],X[1]),J=w?w[Y]:T[R],l.push(J[0],J[1],J[2]),h.push(R)}V+=1}}this.pointCount=q,this.edgeCount=H,this.triangleCount=V,this.pointPositions.update(y),this.pointColors.update(m),this.pointUVs.update(x),this.pointSizes.update(b),this.pointIds.update(new Uint32Array(_)),this.edgePositions.update(p),this.edgeColors.update(d),this.edgeUVs.update(v),this.edgeIds.update(new Uint32Array(g)),this.trianglePositions.update(i),this.triangleColors.update(a),this.triangleUVs.update(u),this.triangleNormals.update(l),this.triangleIds.update(new Uint32Array(h))}},k.drawTransparent=k.draw=function(t){t=t||{};for(var e=this.gl,r=t.model||w,n=t.view||w,i=t.projection||w,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);var s={model:r,view:n,projection:i,inverseModel:w.slice(),clipBounds:a,kambient:this.ambientLight,kdiffuse:this.diffuseLight,kspecular:this.specularLight,roughness:this.roughness,fresnel:this.fresnel,eyePosition:[0,0,0],lightPosition:[0,0,0],contourColor:this.contourColor,texture:0};s.inverseModel=u(s.inverseModel,s.model),e.disable(e.CULL_FACE),this.texture.bind(0);var c=new Array(16);for(l(c,s.view,s.model),l(c,s.projection,c),u(c,c),o=0;o<3;++o)s.eyePosition[o]=c[12+o]/c[15];var f,h=c[15];for(o=0;o<3;++o)h+=this.lightPosition[o]*c[4*o+3];for(o=0;o<3;++o){for(var p=c[12+o],d=0;d<3;++d)p+=c[4*d+o]*this.lightPosition[d];s.lightPosition[o]=p/h}this.triangleCount>0&&((f=this.triShader).bind(),f.uniforms=s,this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind()),this.edgeCount>0&&this.lineWidth>0&&((f=this.lineShader).bind(),f.uniforms=s,this.edgeVAO.bind(),e.lineWidth(this.lineWidth*this.pixelRatio),e.drawArrays(e.LINES,0,2*this.edgeCount),this.edgeVAO.unbind()),this.pointCount>0&&((f=this.pointShader).bind(),f.uniforms=s,this.pointVAO.bind(),e.drawArrays(e.POINTS,0,this.pointCount),this.pointVAO.unbind()),this.contourEnable&&this.contourCount>0&&this.contourLineWidth>0&&((f=this.contourShader).bind(),f.uniforms=s,this.contourVAO.bind(),e.drawArrays(e.LINES,0,this.contourCount),this.contourVAO.unbind())},k.drawPick=function(t){t=t||{};for(var e=this.gl,r=t.model||w,n=t.view||w,i=t.projection||w,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);this._model=[].slice.call(r),this._view=[].slice.call(n),this._projection=[].slice.call(i),this._resolution=[e.drawingBufferWidth,e.drawingBufferHeight];var s,l={model:r,view:n,projection:i,clipBounds:a,pickId:this.pickId/255};(s=this.pickShader).bind(),s.uniforms=l,this.triangleCount>0&&(this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind()),this.edgeCount>0&&(this.edgeVAO.bind(),e.lineWidth(this.lineWidth*this.pixelRatio),e.drawArrays(e.LINES,0,2*this.edgeCount),this.edgeVAO.unbind()),this.pointCount>0&&((s=this.pointPickShader).bind(),s.uniforms=l,this.pointVAO.bind(),e.drawArrays(e.POINTS,0,this.pointCount),this.pointVAO.unbind())},k.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;for(var e=t.value[0]+256*t.value[1]+65536*t.value[2],r=this.cells[e],n=this.positions,i=new Array(r.length),a=0;a<r.length;++a)i[a]=n[r[a]];var o=t.coord[0],s=t.coord[1];if(!this.pickVertex){var l=this.positions[r[0]],u=this.positions[r[1]],c=this.positions[r[2]],f=[(l[0]+u[0]+c[0])/3,(l[1]+u[1]+c[1])/3,(l[2]+u[2]+c[2])/3];return{_cellCenter:!0,position:[o,s],index:e,cell:r,cellId:e,intensity:this.intensity[e],dataCoordinate:f}}var h=v(i,[o*this.pixelRatio,this._resolution[1]-s*this.pixelRatio],this._model,this._view,this._projection,this._resolution);if(!h)return null;var p=h[2],d=0;for(a=0;a<r.length;++a)d+=p[a]*this.intensity[r[a]];return{position:h[1],index:r[h[0]],cell:r,cellId:e,intensity:d,dataCoordinate:this.positions[r[h[0]]]}},k.dispose=function(){this.texture.dispose(),this.triShader.dispose(),this.lineShader.dispose(),this.pointShader.dispose(),this.pickShader.dispose(),this.pointPickShader.dispose(),this.triangleVAO.dispose(),this.trianglePositions.dispose(),this.triangleColors.dispose(),this.triangleUVs.dispose(),this.triangleNormals.dispose(),this.triangleIds.dispose(),this.edgeVAO.dispose(),this.edgePositions.dispose(),this.edgeColors.dispose(),this.edgeUVs.dispose(),this.edgeIds.dispose(),this.pointVAO.dispose(),this.pointPositions.dispose(),this.pointColors.dispose(),this.pointUVs.dispose(),this.pointSizes.dispose(),this.pointIds.dispose(),this.contourVAO.dispose(),this.contourPositions.dispose(),this.contourShader.dispose()},t.exports=function(t,e){if(1===arguments.length&&(t=(e=t).gl),!(t.getExtension(\"OES_standard_derivatives\")||t.getExtension(\"MOZ_OES_standard_derivatives\")||t.getExtension(\"WEBKIT_OES_standard_derivatives\")))throw new Error(\"derivatives not supported\");var r=function(t){var e=n(t,g.vertex,g.fragment);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e.attributes.normal.location=4,e}(t),s=function(t){var e=n(t,y.vertex,y.fragment);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e}(t),l=M(t),u=S(t),f=E(t),h=L(t),p=o(t,c(new Uint8Array([255,255,255,255]),[1,1,4]));p.generateMipmap(),p.minFilter=t.LINEAR_MIPMAP_LINEAR,p.magFilter=t.LINEAR;var d=i(t),v=i(t),m=i(t),x=i(t),b=i(t),_=a(t,[{buffer:d,type:t.FLOAT,size:3},{buffer:b,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:v,type:t.FLOAT,size:4},{buffer:m,type:t.FLOAT,size:2},{buffer:x,type:t.FLOAT,size:3}]),w=i(t),k=i(t),A=i(t),C=i(t),P=a(t,[{buffer:w,type:t.FLOAT,size:3},{buffer:C,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:k,type:t.FLOAT,size:4},{buffer:A,type:t.FLOAT,size:2}]),O=i(t),I=i(t),D=i(t),z=i(t),R=i(t),F=a(t,[{buffer:O,type:t.FLOAT,size:3},{buffer:R,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:I,type:t.FLOAT,size:4},{buffer:D,type:t.FLOAT,size:2},{buffer:z,type:t.FLOAT,size:1}]),B=i(t),N=new T(t,p,r,s,l,u,f,h,d,b,v,m,x,_,w,C,k,A,P,O,R,I,D,z,F,B,a(t,[{buffer:B,type:t.FLOAT,size:3}]));return N.update(e),N}},4554:function(t,e,r){\"use strict\";t.exports=function(t){var e=t.gl;return new o(t,n(e,[0,0,0,1,1,0,1,1]),i(e,a.boxVert,a.lineFrag))};var n=r(5827),i=r(5158),a=r(2709);function o(t,e,r){this.plot=t,this.vbo=e,this.shader=r}var s,l,u=o.prototype;u.bind=function(){var t=this.shader;this.vbo.bind(),this.shader.bind(),t.attributes.coord.pointer(),t.uniforms.screenBox=this.plot.screenBox},u.drawBox=(s=[0,0],l=[0,0],function(t,e,r,n,i){var a=this.plot,o=this.shader,u=a.gl;s[0]=t,s[1]=e,l[0]=r,l[1]=n,o.uniforms.lo=s,o.uniforms.hi=l,o.uniforms.color=i,u.drawArrays(u.TRIANGLE_STRIP,0,4)}),u.dispose=function(){this.vbo.dispose(),this.shader.dispose()}},3016:function(t,e,r){\"use strict\";t.exports=function(t){var e=t.gl;return new s(t,n(e),i(e,o.gridVert,o.gridFrag),i(e,o.tickVert,o.gridFrag))};var n=r(5827),i=r(5158),a=r(5070),o=r(2709);function s(t,e,r,n){this.plot=t,this.vbo=e,this.shader=r,this.tickShader=n,this.ticks=[[],[]]}function l(t,e){return t-e}var u,c,f,h,p,d=s.prototype;d.draw=(u=[0,0],c=[0,0],f=[0,0],function(){for(var t=this.plot,e=this.vbo,r=this.shader,n=this.ticks,i=t.gl,a=t._tickBounds,o=t.dataBox,s=t.viewBox,l=t.gridLineWidth,h=t.gridLineColor,p=t.gridLineEnable,d=t.pixelRatio,v=0;v<2;++v){var g=a[v],y=a[v+2]-g,m=.5*(o[v+2]+o[v]),x=o[v+2]-o[v];c[v]=2*y/x,u[v]=2*(g-m)/x}r.bind(),e.bind(),r.attributes.dataCoord.pointer(),r.uniforms.dataShift=u,r.uniforms.dataScale=c;var b=0;for(v=0;v<2;++v){f[0]=f[1]=0,f[v]=1,r.uniforms.dataAxis=f,r.uniforms.lineWidth=l[v]/(s[v+2]-s[v])*d,r.uniforms.color=h[v];var _=6*n[v].length;p[v]&&_&&i.drawArrays(i.TRIANGLES,b,_),b+=_}}),d.drawTickMarks=function(){var t=[0,0],e=[0,0],r=[1,0],n=[0,1],i=[0,0],o=[0,0];return function(){for(var s=this.plot,u=this.vbo,c=this.tickShader,f=this.ticks,h=s.gl,p=s._tickBounds,d=s.dataBox,v=s.viewBox,g=s.pixelRatio,y=s.screenBox,m=y[2]-y[0],x=y[3]-y[1],b=v[2]-v[0],_=v[3]-v[1],w=0;w<2;++w){var T=p[w],k=p[w+2]-T,A=.5*(d[w+2]+d[w]),M=d[w+2]-d[w];e[w]=2*k/M,t[w]=2*(T-A)/M}e[0]*=b/m,t[0]*=b/m,e[1]*=_/x,t[1]*=_/x,c.bind(),u.bind(),c.attributes.dataCoord.pointer();var S=c.uniforms;S.dataShift=t,S.dataScale=e;var E=s.tickMarkLength,L=s.tickMarkWidth,C=s.tickMarkColor,P=6*f[0].length,O=Math.min(a.ge(f[0],(d[0]-p[0])/(p[2]-p[0]),l),f[0].length),I=Math.min(a.gt(f[0],(d[2]-p[0])/(p[2]-p[0]),l),f[0].length),D=0+6*O,z=6*Math.max(0,I-O),R=Math.min(a.ge(f[1],(d[1]-p[1])/(p[3]-p[1]),l),f[1].length),F=Math.min(a.gt(f[1],(d[3]-p[1])/(p[3]-p[1]),l),f[1].length),B=P+6*R,N=6*Math.max(0,F-R);i[0]=2*(v[0]-E[1])/m-1,i[1]=(v[3]+v[1])/x-1,o[0]=E[1]*g/m,o[1]=L[1]*g/x,N&&(S.color=C[1],S.tickScale=o,S.dataAxis=n,S.screenOffset=i,h.drawArrays(h.TRIANGLES,B,N)),i[0]=(v[2]+v[0])/m-1,i[1]=2*(v[1]-E[0])/x-1,o[0]=L[0]*g/m,o[1]=E[0]*g/x,z&&(S.color=C[0],S.tickScale=o,S.dataAxis=r,S.screenOffset=i,h.drawArrays(h.TRIANGLES,D,z)),i[0]=2*(v[2]+E[3])/m-1,i[1]=(v[3]+v[1])/x-1,o[0]=E[3]*g/m,o[1]=L[3]*g/x,N&&(S.color=C[3],S.tickScale=o,S.dataAxis=n,S.screenOffset=i,h.drawArrays(h.TRIANGLES,B,N)),i[0]=(v[2]+v[0])/m-1,i[1]=2*(v[3]+E[2])/x-1,o[0]=L[2]*g/m,o[1]=E[2]*g/x,z&&(S.color=C[2],S.tickScale=o,S.dataAxis=r,S.screenOffset=i,h.drawArrays(h.TRIANGLES,D,z))}}(),d.update=(h=[1,1,-1,-1,1,-1],p=[1,-1,1,1,-1,-1],function(t){for(var e=t.ticks,r=t.bounds,n=new Float32Array(18*(e[0].length+e[1].length)),i=(this.plot.zeroLineEnable,0),a=[[],[]],o=0;o<2;++o)for(var s=a[o],l=e[o],u=r[o],c=r[o+2],f=0;f<l.length;++f){var d=(l[f].x-u)/(c-u);s.push(d);for(var v=0;v<6;++v)n[i++]=d,n[i++]=h[v],n[i++]=p[v]}this.ticks=a,this.vbo.update(n)}),d.dispose=function(){this.vbo.dispose(),this.shader.dispose(),this.tickShader.dispose()}},1154:function(t,e,r){\"use strict\";t.exports=function(t){var e=t.gl;return new o(t,n(e,[-1,-1,-1,1,1,-1,1,1]),i(e,a.lineVert,a.lineFrag))};var n=r(5827),i=r(5158),a=r(2709);function o(t,e,r){this.plot=t,this.vbo=e,this.shader=r}var s,l,u=o.prototype;u.bind=function(){var t=this.shader;this.vbo.bind(),this.shader.bind(),t.attributes.coord.pointer(),t.uniforms.screenBox=this.plot.screenBox},u.drawLine=(s=[0,0],l=[0,0],function(t,e,r,n,i,a){var o=this.plot,u=this.shader,c=o.gl;s[0]=t,s[1]=e,l[0]=r,l[1]=n,u.uniforms.start=s,u.uniforms.end=l,u.uniforms.width=i*o.pixelRatio,u.uniforms.color=a,c.drawArrays(c.TRIANGLE_STRIP,0,4)}),u.dispose=function(){this.vbo.dispose(),this.shader.dispose()}},2709:function(t,e,r){\"use strict\";var n=r(6832),i=n([\"precision lowp float;\\n#define GLSLIFY 1\\nuniform vec4 color;\\nvoid main() {\\n  gl_FragColor = vec4(color.xyz * color.w, color.w);\\n}\\n\"]);t.exports={lineVert:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 coord;\\n\\nuniform vec4 screenBox;\\nuniform vec2 start, end;\\nuniform float width;\\n\\nvec2 perp(vec2 v) {\\n  return vec2(v.y, -v.x);\\n}\\n\\nvec2 screen(vec2 v) {\\n  return 2.0 * (v - screenBox.xy) / (screenBox.zw - screenBox.xy) - 1.0;\\n}\\n\\nvoid main() {\\n  vec2 delta = normalize(perp(start - end));\\n  vec2 offset = mix(start, end, 0.5 * (coord.y+1.0));\\n  gl_Position = vec4(screen(offset + 0.5 * width * delta * coord.x), 0, 1);\\n}\\n\"]),lineFrag:i,textVert:n([\"#define GLSLIFY 1\\nattribute vec3 textCoordinate;\\n\\nuniform vec2 dataScale, dataShift, dataAxis, screenOffset, textScale;\\nuniform float angle;\\n\\nvoid main() {\\n  float dataOffset  = textCoordinate.z;\\n  vec2 glyphOffset  = textCoordinate.xy;\\n  mat2 glyphMatrix = mat2(cos(angle), sin(angle), -sin(angle), cos(angle));\\n  vec2 screenCoordinate = dataAxis * (dataScale * dataOffset + dataShift) +\\n    glyphMatrix * glyphOffset * textScale + screenOffset;\\n  gl_Position = vec4(screenCoordinate, 0, 1);\\n}\\n\"]),textFrag:i,gridVert:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec3 dataCoord;\\n\\nuniform vec2 dataAxis, dataShift, dataScale;\\nuniform float lineWidth;\\n\\nvoid main() {\\n  vec2 pos = dataAxis * (dataScale * dataCoord.x + dataShift);\\n  pos += 10.0 * dataCoord.y * vec2(dataAxis.y, -dataAxis.x) + dataCoord.z * lineWidth;\\n  gl_Position = vec4(pos, 0, 1);\\n}\\n\"]),gridFrag:i,boxVert:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 coord;\\n\\nuniform vec4 screenBox;\\nuniform vec2 lo, hi;\\n\\nvec2 screen(vec2 v) {\\n  return 2.0 * (v - screenBox.xy) / (screenBox.zw - screenBox.xy) - 1.0;\\n}\\n\\nvoid main() {\\n  gl_Position = vec4(screen(mix(lo, hi, coord)), 0, 1);\\n}\\n\"]),tickVert:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec3 dataCoord;\\n\\nuniform vec2 dataAxis, dataShift, dataScale, screenOffset, tickScale;\\n\\nvoid main() {\\n  vec2 pos = dataAxis * (dataScale * dataCoord.x + dataShift);\\n  gl_Position = vec4(pos + tickScale*dataCoord.yz + screenOffset, 0, 1);\\n}\\n\"])}},5613:function(t,e,r){\"use strict\";t.exports=function(t){var e=t.gl;return new l(t,n(e),i(e,s.textVert,s.textFrag))};var n=r(5827),i=r(5158),a=r(6946),o=r(5070),s=r(2709);function l(t,e,r){this.plot=t,this.vbo=e,this.shader=r,this.tickOffset=[[],[]],this.tickX=[[],[]],this.labelOffset=[0,0],this.labelCount=[0,0]}var u,c,f,h,p,d,v=l.prototype;v.drawTicks=(u=[0,0],c=[0,0],f=[0,0],function(t){var e=this.plot,r=this.shader,n=this.tickX[t],i=this.tickOffset[t],a=e.gl,s=e.viewBox,l=e.dataBox,h=e.screenBox,p=e.pixelRatio,d=e.tickEnable,v=e.tickPad,g=e.tickColor,y=e.tickAngle,m=e.labelEnable,x=e.labelPad,b=e.labelColor,_=e.labelAngle,w=this.labelOffset[t],T=this.labelCount[t],k=o.lt(n,l[t]),A=o.le(n,l[t+2]);u[0]=u[1]=0,u[t]=1,c[t]=(s[2+t]+s[t])/(h[2+t]-h[t])-1;var M=2/h[2+(1^t)]-h[1^t];c[1^t]=M*s[1^t]-1,d[t]&&(c[1^t]-=M*p*v[t],k<A&&i[A]>i[k]&&(r.uniforms.dataAxis=u,r.uniforms.screenOffset=c,r.uniforms.color=g[t],r.uniforms.angle=y[t],a.drawArrays(a.TRIANGLES,i[k],i[A]-i[k]))),m[t]&&T&&(c[1^t]-=M*p*x[t],r.uniforms.dataAxis=f,r.uniforms.screenOffset=c,r.uniforms.color=b[t],r.uniforms.angle=_[t],a.drawArrays(a.TRIANGLES,w,T)),c[1^t]=M*s[2+(1^t)]-1,d[t+2]&&(c[1^t]+=M*p*v[t+2],k<A&&i[A]>i[k]&&(r.uniforms.dataAxis=u,r.uniforms.screenOffset=c,r.uniforms.color=g[t+2],r.uniforms.angle=y[t+2],a.drawArrays(a.TRIANGLES,i[k],i[A]-i[k]))),m[t+2]&&T&&(c[1^t]+=M*p*x[t+2],r.uniforms.dataAxis=f,r.uniforms.screenOffset=c,r.uniforms.color=b[t+2],r.uniforms.angle=_[t+2],a.drawArrays(a.TRIANGLES,w,T))}),v.drawTitle=function(){var t=[0,0],e=[0,0];return function(){var r=this.plot,n=this.shader,i=r.gl,a=r.screenBox,o=r.titleCenter,s=r.titleAngle,l=r.titleColor,u=r.pixelRatio;if(this.titleCount){for(var c=0;c<2;++c)e[c]=2*(o[c]*u-a[c])/(a[2+c]-a[c])-1;n.bind(),n.uniforms.dataAxis=t,n.uniforms.screenOffset=e,n.uniforms.angle=s,n.uniforms.color=l,i.drawArrays(i.TRIANGLES,this.titleOffset,this.titleCount)}}}(),v.bind=(h=[0,0],p=[0,0],d=[0,0],function(){var t=this.plot,e=this.shader,r=t._tickBounds,n=t.dataBox,i=t.screenBox,a=t.viewBox;e.bind();for(var o=0;o<2;++o){var s=r[o],l=r[o+2]-s,u=.5*(n[o+2]+n[o]),c=n[o+2]-n[o],f=a[o],v=a[o+2]-f,g=i[o],y=i[o+2]-g;p[o]=2*l/c*v/y,h[o]=2*(s-u)/c*v/y}d[1]=2*t.pixelRatio/(i[3]-i[1]),d[0]=d[1]*(i[3]-i[1])/(i[2]-i[0]),e.uniforms.dataScale=p,e.uniforms.dataShift=h,e.uniforms.textScale=d,this.vbo.bind(),e.attributes.textCoordinate.pointer()}),v.update=function(t){var e,r,n,i,o,s=[],l=t.ticks,u=t.bounds;for(o=0;o<2;++o){var c=[Math.floor(s.length/3)],f=[-1/0],h=l[o];for(e=0;e<h.length;++e){var p=h[e],d=p.x,v=p.text,g=p.font||\"sans-serif\";i=p.fontSize||12;for(var y=1/(u[o+2]-u[o]),m=u[o],x=v.split(\"\\n\"),b=0;b<x.length;b++)for(n=a(g,x[b]).data,r=0;r<n.length;r+=2)s.push(n[r]*i,-n[r+1]*i-b*i*1.2,(d-m)*y);c.push(Math.floor(s.length/3)),f.push(d)}this.tickOffset[o]=c,this.tickX[o]=f}for(o=0;o<2;++o){for(this.labelOffset[o]=Math.floor(s.length/3),n=a(t.labelFont[o],t.labels[o],{textAlign:\"center\"}).data,i=t.labelSize[o],e=0;e<n.length;e+=2)s.push(n[e]*i,-n[e+1]*i,0);this.labelCount[o]=Math.floor(s.length/3)-this.labelOffset[o]}for(this.titleOffset=Math.floor(s.length/3),n=a(t.titleFont,t.title).data,i=t.titleSize,e=0;e<n.length;e+=2)s.push(n[e]*i,-n[e+1]*i,0);this.titleCount=Math.floor(s.length/3)-this.titleOffset,this.vbo.update(s)},v.dispose=function(){this.vbo.dispose(),this.shader.dispose()}},2117:function(t,e,r){\"use strict\";t.exports=function(t){var e=t.gl,r=new l(e,n(e,[e.drawingBufferWidth,e.drawingBufferHeight]));return r.grid=i(r),r.text=a(r),r.line=o(r),r.box=s(r),r.update(t),r};var n=r(2611),i=r(3016),a=r(5613),o=r(1154),s=r(4554);function l(t,e){this.gl=t,this.pickBuffer=e,this.screenBox=[0,0,t.drawingBufferWidth,t.drawingBufferHeight],this.viewBox=[0,0,0,0],this.dataBox=[-10,-10,10,10],this.gridLineEnable=[!0,!0],this.gridLineWidth=[1,1],this.gridLineColor=[[0,0,0,1],[0,0,0,1]],this.pixelRatio=1,this.tickMarkLength=[0,0,0,0],this.tickMarkWidth=[0,0,0,0],this.tickMarkColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickPad=[15,15,15,15],this.tickAngle=[0,0,0,0],this.tickEnable=[!0,!0,!0,!0],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labelPad=[15,15,15,15],this.labelAngle=[0,Math.PI/2,0,3*Math.PI/2],this.labelEnable=[!0,!0,!0,!0],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.titleCenter=[0,0],this.titleEnable=!0,this.titleAngle=0,this.titleColor=[0,0,0,1],this.borderColor=[0,0,0,0],this.backgroundColor=[0,0,0,0],this.zeroLineEnable=[!0,!0],this.zeroLineWidth=[4,4],this.zeroLineColor=[[0,0,0,1],[0,0,0,1]],this.borderLineEnable=[!0,!0,!0,!0],this.borderLineWidth=[2,2,2,2],this.borderLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.grid=null,this.text=null,this.line=null,this.box=null,this.objects=[],this.overlays=[],this._tickBounds=[1/0,1/0,-1/0,-1/0],this.static=!1,this.dirty=!1,this.pickDirty=!1,this.pickDelay=120,this.pickRadius=10,this._pickTimeout=null,this._drawPick=this.drawPick.bind(this),this._depthCounter=0}var u=l.prototype;function c(t){for(var e=t.slice(),r=0;r<e.length;++r)e[r]=e[r].slice();return e}function f(t,e){return t.x-e.x}u.setDirty=function(){this.dirty=this.pickDirty=!0},u.setOverlayDirty=function(){this.dirty=!0},u.nextDepthValue=function(){return this._depthCounter++/65536},u.draw=function(){var t=this.gl,e=this.screenBox,r=this.viewBox,n=this.dataBox,i=this.pixelRatio,a=this.grid,o=this.line,s=this.text,l=this.objects;if(this._depthCounter=0,this.pickDirty&&(this._pickTimeout&&clearTimeout(this._pickTimeout),this.pickDirty=!1,this._pickTimeout=setTimeout(this._drawPick,this.pickDelay)),this.dirty){if(this.dirty=!1,t.bindFramebuffer(t.FRAMEBUFFER,null),t.enable(t.SCISSOR_TEST),t.disable(t.DEPTH_TEST),t.depthFunc(t.LESS),t.depthMask(!1),t.enable(t.BLEND),t.blendEquation(t.FUNC_ADD,t.FUNC_ADD),t.blendFunc(t.ONE,t.ONE_MINUS_SRC_ALPHA),this.borderColor){t.scissor(e[0],e[1],e[2]-e[0],e[3]-e[1]);var u=this.borderColor;t.clearColor(u[0]*u[3],u[1]*u[3],u[2]*u[3],u[3]),t.clear(t.COLOR_BUFFER_BIT|t.DEPTH_BUFFER_BIT)}t.scissor(r[0],r[1],r[2]-r[0],r[3]-r[1]),t.viewport(r[0],r[1],r[2]-r[0],r[3]-r[1]);var c=this.backgroundColor;t.clearColor(c[0]*c[3],c[1]*c[3],c[2]*c[3],c[3]),t.clear(t.COLOR_BUFFER_BIT),a.draw();var f=this.zeroLineEnable,h=this.zeroLineColor,p=this.zeroLineWidth;if(f[0]||f[1]){o.bind();for(var d=0;d<2;++d)if(f[d]&&n[d]<=0&&n[d+2]>=0){var v=e[d]-n[d]*(e[d+2]-e[d])/(n[d+2]-n[d]);0===d?o.drawLine(v,e[1],v,e[3],p[d],h[d]):o.drawLine(e[0],v,e[2],v,p[d],h[d])}}for(d=0;d<l.length;++d)l[d].draw();t.viewport(e[0],e[1],e[2]-e[0],e[3]-e[1]),t.scissor(e[0],e[1],e[2]-e[0],e[3]-e[1]),this.grid.drawTickMarks(),o.bind();var g=this.borderLineEnable,y=this.borderLineWidth,m=this.borderLineColor;for(g[1]&&o.drawLine(r[0],r[1]-.5*y[1]*i,r[0],r[3]+.5*y[3]*i,y[1],m[1]),g[0]&&o.drawLine(r[0]-.5*y[0]*i,r[1],r[2]+.5*y[2]*i,r[1],y[0],m[0]),g[3]&&o.drawLine(r[2],r[1]-.5*y[1]*i,r[2],r[3]+.5*y[3]*i,y[3],m[3]),g[2]&&o.drawLine(r[0]-.5*y[0]*i,r[3],r[2]+.5*y[2]*i,r[3],y[2],m[2]),s.bind(),d=0;d<2;++d)s.drawTicks(d);this.titleEnable&&s.drawTitle();var x=this.overlays;for(d=0;d<x.length;++d)x[d].draw();t.disable(t.SCISSOR_TEST),t.disable(t.BLEND),t.depthMask(!0)}},u.drawPick=function(){if(!this.static){var t=this.pickBuffer;this.gl,this._pickTimeout=null,t.begin();for(var e=1,r=this.objects,n=0;n<r.length;++n)e=r[n].drawPick(e);t.end()}},u.pick=function(t,e){if(!this.static){var r=this.pixelRatio,n=this.pickPixelRatio,i=this.viewBox,a=0|Math.round((t-i[0]/r)*n),o=0|Math.round((e-i[1]/r)*n),s=this.pickBuffer.query(a,o,this.pickRadius);if(!s)return null;for(var l=s.id+(s.value[0]<<8)+(s.value[1]<<16)+(s.value[2]<<24),u=this.objects,c=0;c<u.length;++c){var f=u[c].pick(a,o,l);if(f)return f}return null}},u.setScreenBox=function(t){var e=this.screenBox,r=this.pixelRatio;e[0]=0|Math.round(t[0]*r),e[1]=0|Math.round(t[1]*r),e[2]=0|Math.round(t[2]*r),e[3]=0|Math.round(t[3]*r),this.setDirty()},u.setDataBox=function(t){var e=this.dataBox;(e[0]!==t[0]||e[1]!==t[1]||e[2]!==t[2]||e[3]!==t[3])&&(e[0]=t[0],e[1]=t[1],e[2]=t[2],e[3]=t[3],this.setDirty())},u.setViewBox=function(t){var e=this.pixelRatio,r=this.viewBox;r[0]=0|Math.round(t[0]*e),r[1]=0|Math.round(t[1]*e),r[2]=0|Math.round(t[2]*e),r[3]=0|Math.round(t[3]*e);var n=this.pickPixelRatio;this.pickBuffer.shape=[0|Math.round((t[2]-t[0])*n),0|Math.round((t[3]-t[1])*n)],this.setDirty()},u.update=function(t){t=t||{};var e=this.gl;this.pixelRatio=t.pixelRatio||1;var r=this.pixelRatio;this.pickPixelRatio=Math.max(r,1),this.setScreenBox(t.screenBox||[0,0,e.drawingBufferWidth/r,e.drawingBufferHeight/r]),this.screenBox,this.setViewBox(t.viewBox||[.125*(this.screenBox[2]-this.screenBox[0])/r,.125*(this.screenBox[3]-this.screenBox[1])/r,.875*(this.screenBox[2]-this.screenBox[0])/r,.875*(this.screenBox[3]-this.screenBox[1])/r]);var n=this.viewBox,i=(n[2]-n[0])/(n[3]-n[1]);this.setDataBox(t.dataBox||[-10,-10/i,10,10/i]),this.borderColor=!1!==t.borderColor&&(t.borderColor||[0,0,0,0]).slice(),this.backgroundColor=(t.backgroundColor||[0,0,0,0]).slice(),this.gridLineEnable=(t.gridLineEnable||[!0,!0]).slice(),this.gridLineWidth=(t.gridLineWidth||[1,1]).slice(),this.gridLineColor=c(t.gridLineColor||[[.5,.5,.5,1],[.5,.5,.5,1]]),this.zeroLineEnable=(t.zeroLineEnable||[!0,!0]).slice(),this.zeroLineWidth=(t.zeroLineWidth||[4,4]).slice(),this.zeroLineColor=c(t.zeroLineColor||[[0,0,0,1],[0,0,0,1]]),this.tickMarkLength=(t.tickMarkLength||[0,0,0,0]).slice(),this.tickMarkWidth=(t.tickMarkWidth||[0,0,0,0]).slice(),this.tickMarkColor=c(t.tickMarkColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]),this.titleCenter=(t.titleCenter||[.5*(n[0]+n[2])/r,(n[3]+120)/r]).slice(),this.titleEnable=!(\"titleEnable\"in t)||!!t.titleEnable,this.titleAngle=t.titleAngle||0,this.titleColor=(t.titleColor||[0,0,0,1]).slice(),this.labelPad=(t.labelPad||[15,15,15,15]).slice(),this.labelAngle=(t.labelAngle||[0,Math.PI/2,0,3*Math.PI/2]).slice(),this.labelEnable=(t.labelEnable||[!0,!0,!0,!0]).slice(),this.labelColor=c(t.labelColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]),this.tickPad=(t.tickPad||[15,15,15,15]).slice(),this.tickAngle=(t.tickAngle||[0,0,0,0]).slice(),this.tickEnable=(t.tickEnable||[!0,!0,!0,!0]).slice(),this.tickColor=c(t.tickColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]),this.borderLineEnable=(t.borderLineEnable||[!0,!0,!0,!0]).slice(),this.borderLineWidth=(t.borderLineWidth||[2,2,2,2]).slice(),this.borderLineColor=c(t.borderLineColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]);var a=t.ticks||[[],[]],o=this._tickBounds;o[0]=o[1]=1/0,o[2]=o[3]=-1/0;for(var s=0;s<2;++s){var l=a[s].slice(0);0!==l.length&&(l.sort(f),o[s]=Math.min(o[s],l[0].x),o[s+2]=Math.max(o[s+2],l[l.length-1].x))}this.grid.update({bounds:o,ticks:a}),this.text.update({bounds:o,ticks:a,labels:t.labels||[\"x\",\"y\"],labelSize:t.labelSize||[12,12],labelFont:t.labelFont||[\"sans-serif\",\"sans-serif\"],title:t.title||\"\",titleSize:t.titleSize||18,titleFont:t.titleFont||\"sans-serif\"}),this.static=!!t.static,this.setDirty()},u.dispose=function(){this.box.dispose(),this.grid.dispose(),this.text.dispose(),this.line.dispose();for(var t=this.objects.length-1;t>=0;--t)this.objects[t].dispose();for(this.objects.length=0,t=this.overlays.length-1;t>=0;--t)this.overlays[t].dispose();this.overlays.length=0,this.gl=null},u.addObject=function(t){this.objects.indexOf(t)<0&&(this.objects.push(t),this.setDirty())},u.removeObject=function(t){for(var e=this.objects,r=0;r<e.length;++r)if(e[r]===t){e.splice(r,1),this.setDirty();break}},u.addOverlay=function(t){this.overlays.indexOf(t)<0&&(this.overlays.push(t),this.setOverlayDirty())},u.removeOverlay=function(t){for(var e=this.overlays,r=0;r<e.length;++r)if(e[r]===t){e.splice(r,1),this.setOverlayDirty();break}}},4296:function(t,e,r){\"use strict\";t.exports=function(t,e){t=t||document.body;var r=[.01,1/0];\"distanceLimits\"in(e=e||{})&&(r[0]=e.distanceLimits[0],r[1]=e.distanceLimits[1]),\"zoomMin\"in e&&(r[0]=e.zoomMin),\"zoomMax\"in e&&(r[1]=e.zoomMax);var u=i({center:e.center||[0,0,0],up:e.up||[0,1,0],eye:e.eye||[0,0,10],mode:e.mode||\"orbit\",distanceLimits:r}),c=[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0],f=0,h=t.clientWidth,p=t.clientHeight,d={keyBindingMode:\"rotate\",enableWheel:!0,view:u,element:t,delay:e.delay||16,rotateSpeed:e.rotateSpeed||1,zoomSpeed:e.zoomSpeed||1,translateSpeed:e.translateSpeed||1,flipX:!!e.flipX,flipY:!!e.flipY,modes:u.modes,_ortho:e._ortho||e.projection&&\"orthographic\"===e.projection.type||!1,tick:function(){var e=n(),r=this.delay,i=e-2*r;u.idle(e-r),u.recalcMatrix(i),u.flush(e-(100+2*r));for(var a=!0,o=u.computedMatrix,s=0;s<16;++s)a=a&&c[s]===o[s],c[s]=o[s];var l=t.clientWidth===h&&t.clientHeight===p;return h=t.clientWidth,p=t.clientHeight,a?!l:(f=Math.exp(u.computedRadius[0]),!0)},lookAt:function(t,e,r){u.lookAt(u.lastT(),t,e,r)},rotate:function(t,e,r){u.rotate(u.lastT(),t,e,r)},pan:function(t,e,r){u.pan(u.lastT(),t,e,r)},translate:function(t,e,r){u.translate(u.lastT(),t,e,r)}};return Object.defineProperties(d,{matrix:{get:function(){return u.computedMatrix},set:function(t){return u.setMatrix(u.lastT(),t),u.computedMatrix},enumerable:!0},mode:{get:function(){return u.getMode()},set:function(t){var e=u.computedUp.slice(),r=u.computedEye.slice(),i=u.computedCenter.slice();if(u.setMode(t),\"turntable\"===t){var a=n();u._active.lookAt(a,r,i,e),u._active.lookAt(a+500,r,i,[0,0,1]),u._active.flush(a)}return u.getMode()},enumerable:!0},center:{get:function(){return u.computedCenter},set:function(t){return u.lookAt(u.lastT(),null,t),u.computedCenter},enumerable:!0},eye:{get:function(){return u.computedEye},set:function(t){return u.lookAt(u.lastT(),t),u.computedEye},enumerable:!0},up:{get:function(){return u.computedUp},set:function(t){return u.lookAt(u.lastT(),null,null,t),u.computedUp},enumerable:!0},distance:{get:function(){return f},set:function(t){return u.setDistance(u.lastT(),t),t},enumerable:!0},distanceLimits:{get:function(){return u.getDistanceLimits(r)},set:function(t){return u.setDistanceLimits(t),t},enumerable:!0}}),t.addEventListener(\"contextmenu\",(function(t){return t.preventDefault(),!1})),d._lastX=-1,d._lastY=-1,d._lastMods={shift:!1,control:!1,alt:!1,meta:!1},d.enableMouseListeners=function(){function e(e,r,i,a){var o=d.keyBindingMode;if(!1!==o){var s=\"rotate\"===o,l=\"pan\"===o,c=\"zoom\"===o,h=!!a.control,p=!!a.alt,v=!!a.shift,g=!!(1&e),y=!!(2&e),m=!!(4&e),x=1/t.clientHeight,b=x*(r-d._lastX),_=x*(i-d._lastY),w=d.flipX?1:-1,T=d.flipY?1:-1,k=Math.PI*d.rotateSpeed,A=n();if(-1!==d._lastX&&-1!==d._lastY&&((s&&g&&!h&&!p&&!v||g&&!h&&!p&&v)&&u.rotate(A,w*k*b,-T*k*_,0),(l&&g&&!h&&!p&&!v||y||g&&h&&!p&&!v)&&u.pan(A,-d.translateSpeed*b*f,d.translateSpeed*_*f,0),c&&g&&!h&&!p&&!v||m||g&&!h&&p&&!v)){var M=-d.zoomSpeed*_/window.innerHeight*(A-u.lastT())*100;u.pan(A,0,0,f*(Math.exp(M)-1))}return d._lastX=r,d._lastY=i,d._lastMods=a,!0}}d.mouseListener=a(t,e),t.addEventListener(\"touchstart\",(function(r){var n=s(r.changedTouches[0],t);e(0,n[0],n[1],d._lastMods),e(1,n[0],n[1],d._lastMods)}),!!l&&{passive:!0}),t.addEventListener(\"touchmove\",(function(r){var n=s(r.changedTouches[0],t);e(1,n[0],n[1],d._lastMods),r.preventDefault()}),!!l&&{passive:!1}),t.addEventListener(\"touchend\",(function(t){e(0,d._lastX,d._lastY,d._lastMods)}),!!l&&{passive:!0}),d.wheelListener=o(t,(function(t,e){if(!1!==d.keyBindingMode&&d.enableWheel){var r=d.flipX?1:-1,i=d.flipY?1:-1,a=n();if(Math.abs(t)>Math.abs(e))u.rotate(a,0,0,-t*r*Math.PI*d.rotateSpeed/window.innerWidth);else if(!d._ortho){var o=-d.zoomSpeed*i*e/window.innerHeight*(a-u.lastT())/20;u.pan(a,0,0,f*(Math.exp(o)-1))}}}),!0)},d.enableMouseListeners(),d};var n=r(8161),i=r(1152),a=r(6145),o=r(6475),s=r(2565),l=r(5233)},8245:function(t,e,r){var n=r(6832),i=r(5158),a=n([\"precision mediump float;\\n#define GLSLIFY 1\\nattribute vec2 position;\\nvarying vec2 uv;\\nvoid main() {\\n  uv = position;\\n  gl_Position = vec4(position, 0, 1);\\n}\"]),o=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nuniform sampler2D accumBuffer;\\nvarying vec2 uv;\\n\\nvoid main() {\\n  vec4 accum = texture2D(accumBuffer, 0.5 * (uv + 1.0));\\n  gl_FragColor = min(vec4(1,1,1,1), accum);\\n}\"]);t.exports=function(t){return i(t,a,o,null,[{name:\"position\",type:\"vec2\"}])}},1059:function(t,e,r){\"use strict\";var n=r(4296),i=r(7453),a=r(2771),o=r(6496),s=r(2611),l=r(4234),u=r(8126),c=r(6145),f=r(1120),h=r(5268),p=r(8245),d=r(2321)({tablet:!0,featureDetect:!0});function v(){this.mouse=[-1,-1],this.screen=null,this.distance=1/0,this.index=null,this.dataCoordinate=null,this.dataPosition=null,this.object=null,this.data=null}function g(t){var e=Math.round(Math.log(Math.abs(t))/Math.log(10));if(e<0){var r=Math.round(Math.pow(10,-e));return Math.ceil(t*r)/r}return e>0?(r=Math.round(Math.pow(10,e)),Math.ceil(t/r)*r):Math.ceil(t)}function y(t){return\"boolean\"!=typeof t||t}t.exports={createScene:function(t){(t=t||{}).camera=t.camera||{};var e=t.canvas;e||(e=document.createElement(\"canvas\"),t.container?t.container.appendChild(e):document.body.appendChild(e));var r=t.gl;if(r||(t.glOptions&&(d=!!t.glOptions.preserveDrawingBuffer),r=function(t,e){var r=null;try{(r=t.getContext(\"webgl\",e))||(r=t.getContext(\"experimental-webgl\",e))}catch(t){return null}return r}(e,t.glOptions||{premultipliedAlpha:!0,antialias:!0,preserveDrawingBuffer:d})),!r)throw new Error(\"webgl not supported\");var m=t.bounds||[[-10,-10,-10],[10,10,10]],x=new v,b=l(r,r.drawingBufferWidth,r.drawingBufferHeight,{preferFloat:!d}),_=p(r),w=t.cameraObject&&!0===t.cameraObject._ortho||t.camera.projection&&\"orthographic\"===t.camera.projection.type||!1,T={eye:t.camera.eye||[2,0,0],center:t.camera.center||[0,0,0],up:t.camera.up||[0,1,0],zoomMin:t.camera.zoomMax||.1,zoomMax:t.camera.zoomMin||100,mode:t.camera.mode||\"turntable\",_ortho:w},k=t.axes||{},A=i(r,k);A.enable=!k.disable;var M=t.spikes||{},S=o(r,M),E=[],L=[],C=[],P=[],O=!0,I=!0,D={view:null,projection:new Array(16),model:new Array(16),_ortho:!1},z=(I=!0,[r.drawingBufferWidth,r.drawingBufferHeight]),R=t.cameraObject||n(e,T),F={gl:r,contextLost:!1,pixelRatio:t.pixelRatio||1,canvas:e,selection:x,camera:R,axes:A,axesPixels:null,spikes:S,bounds:m,objects:E,shape:z,aspect:t.aspectRatio||[1,1,1],pickRadius:t.pickRadius||10,zNear:t.zNear||.01,zFar:t.zFar||1e3,fovy:t.fovy||Math.PI/4,clearColor:t.clearColor||[0,0,0,0],autoResize:y(t.autoResize),autoBounds:y(t.autoBounds),autoScale:!!t.autoScale,autoCenter:y(t.autoCenter),clipToBounds:y(t.clipToBounds),snapToData:!!t.snapToData,onselect:t.onselect||null,onrender:t.onrender||null,onclick:t.onclick||null,cameraParams:D,oncontextloss:null,mouseListener:null,_stopped:!1,getAspectratio:function(){return{x:this.aspect[0],y:this.aspect[1],z:this.aspect[2]}},setAspectratio:function(t){this.aspect[0]=t.x,this.aspect[1]=t.y,this.aspect[2]=t.z,I=!0},setBounds:function(t,e){this.bounds[0][t]=e.min,this.bounds[1][t]=e.max},setClearColor:function(t){this.clearColor=t},clearRGBA:function(){this.gl.clearColor(this.clearColor[0],this.clearColor[1],this.clearColor[2],this.clearColor[3]),this.gl.clear(this.gl.COLOR_BUFFER_BIT|this.gl.DEPTH_BUFFER_BIT)}},B=[r.drawingBufferWidth/F.pixelRatio|0,r.drawingBufferHeight/F.pixelRatio|0];function N(){if(!F._stopped&&F.autoResize){var t=e.parentNode,r=1,n=1;t&&t!==document.body?(r=t.clientWidth,n=t.clientHeight):(r=window.innerWidth,n=window.innerHeight);var i=0|Math.ceil(r*F.pixelRatio),a=0|Math.ceil(n*F.pixelRatio);if(i!==e.width||a!==e.height){e.width=i,e.height=a;var o=e.style;o.position=o.position||\"absolute\",o.left=\"0px\",o.top=\"0px\",o.width=r+\"px\",o.height=n+\"px\",O=!0}}}function j(){for(var t=E.length,e=P.length,n=0;n<e;++n)C[n]=0;t:for(n=0;n<t;++n){var i=E[n],a=i.pickSlots;if(a){for(var o=0;o<e;++o)if(C[o]+a<255){L[n]=o,i.setPickBase(C[o]+1),C[o]+=a;continue t}var l=s(r,z);L[n]=e,P.push(l),C.push(a),i.setPickBase(1),e+=1}else L[n]=-1}for(;e>0&&0===C[e-1];)C.pop(),P.pop().dispose()}function U(){if(F.contextLost)return!0;r.isContextLost()&&(F.contextLost=!0,F.mouseListener.enabled=!1,F.selection.object=null,F.oncontextloss&&F.oncontextloss())}F.autoResize&&N(),window.addEventListener(\"resize\",N),F.update=function(t){F._stopped||(t=t||{},O=!0,I=!0)},F.add=function(t){F._stopped||(t.axes=A,E.push(t),L.push(-1),O=!0,I=!0,j())},F.remove=function(t){if(!F._stopped){var e=E.indexOf(t);e<0||(E.splice(e,1),L.pop(),O=!0,I=!0,j())}},F.dispose=function(){if(!F._stopped&&(F._stopped=!0,window.removeEventListener(\"resize\",N),e.removeEventListener(\"webglcontextlost\",U),F.mouseListener.enabled=!1,!F.contextLost)){A.dispose(),S.dispose();for(var t=0;t<E.length;++t)E[t].dispose();for(b.dispose(),t=0;t<P.length;++t)P[t].dispose();_.dispose(),r=null,A=null,S=null,E=[]}},F._mouseRotating=!1,F._prevButtons=0,F.enableMouseListeners=function(){F.mouseListener=c(e,(function(t,e,r){if(!F._stopped){var n=P.length,i=E.length,a=x.object;x.distance=1/0,x.mouse[0]=e,x.mouse[1]=r,x.object=null,x.screen=null,x.dataCoordinate=x.dataPosition=null;var o=!1;if(t&&F._prevButtons)F._mouseRotating=!0;else{F._mouseRotating&&(I=!0),F._mouseRotating=!1;for(var s=0;s<n;++s){var l=P[s].query(e,B[1]-r-1,F.pickRadius);if(l){if(l.distance>x.distance)continue;for(var u=0;u<i;++u){var c=E[u];if(L[u]===s){var f=c.pick(l);f&&(x.buttons=t,x.screen=l.coord,x.distance=l.distance,x.object=c,x.index=f.distance,x.dataPosition=f.position,x.dataCoordinate=f.dataCoordinate,x.data=f,o=!0)}}}}}a&&a!==x.object&&(a.highlight&&a.highlight(null),O=!0),x.object&&(x.object.highlight&&x.object.highlight(x.data),O=!0),(o=o||x.object!==a)&&F.onselect&&F.onselect(x),1&t&&!(1&F._prevButtons)&&F.onclick&&F.onclick(x),F._prevButtons=t}}))},e.addEventListener(\"webglcontextlost\",U);var V=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],H=[V[0].slice(),V[1].slice()];function q(){if(!U()){N();var t=F.camera.tick();D.view=F.camera.matrix,O=O||t,I=I||t,A.pixelRatio=F.pixelRatio,S.pixelRatio=F.pixelRatio;var e=E.length,n=V[0],i=V[1];n[0]=n[1]=n[2]=1/0,i[0]=i[1]=i[2]=-1/0;for(var o=0;o<e;++o){(C=E[o]).pixelRatio=F.pixelRatio,C.axes=F.axes,O=O||!!C.dirty,I=I||!!C.dirty;var s=C.bounds;if(s)for(var l=s[0],c=s[1],p=0;p<3;++p)n[p]=Math.min(n[p],l[p]),i[p]=Math.max(i[p],c[p])}var d=F.bounds;if(F.autoBounds)for(p=0;p<3;++p){if(i[p]<n[p])n[p]=-1,i[p]=1;else{n[p]===i[p]&&(n[p]-=1,i[p]+=1);var v=.05*(i[p]-n[p]);n[p]=n[p]-v,i[p]=i[p]+v}d[0][p]=n[p],d[1][p]=i[p]}var y=!1;for(p=0;p<3;++p)y=y||H[0][p]!==d[0][p]||H[1][p]!==d[1][p],H[0][p]=d[0][p],H[1][p]=d[1][p];if(I=I||y,O=O||y){if(y){var m=[0,0,0];for(o=0;o<3;++o)m[o]=g((d[1][o]-d[0][o])/10);A.autoTicks?A.update({bounds:d,tickSpacing:m}):A.update({bounds:d})}var T=r.drawingBufferWidth,k=r.drawingBufferHeight;for(z[0]=T,z[1]=k,B[0]=0|Math.max(T/F.pixelRatio,1),B[1]=0|Math.max(k/F.pixelRatio,1),function(t,e){var r=t.bounds,n=t.cameraParams,i=n.projection,a=n.model,o=t.gl.drawingBufferWidth,s=t.gl.drawingBufferHeight,l=t.zNear,u=t.zFar,c=t.fovy,p=o/s;e?(h(i,-p,p,-1,1,l,u),n._ortho=!0):(f(i,c,p,l,u),n._ortho=!1);for(var d=0;d<16;++d)a[d]=0;a[15]=1;var v=0;for(d=0;d<3;++d)v=Math.max(v,r[1][d]-r[0][d]);for(d=0;d<3;++d)t.autoScale?a[5*d]=t.aspect[d]/(r[1][d]-r[0][d]):a[5*d]=1/v,t.autoCenter&&(a[12+d]=.5*-a[5*d]*(r[0][d]+r[1][d]))}(F,w),o=0;o<e;++o)(C=E[o]).axesBounds=d,F.clipToBounds&&(C.clipBounds=d);x.object&&(F.snapToData?S.position=x.dataCoordinate:S.position=x.dataPosition,S.bounds=d),I&&(I=!1,function(){if(!U()){r.colorMask(!0,!0,!0,!0),r.depthMask(!0),r.disable(r.BLEND),r.enable(r.DEPTH_TEST),r.depthFunc(r.LEQUAL);for(var t=E.length,e=P.length,n=0;n<e;++n){var i=P[n];i.shape=B,i.begin();for(var a=0;a<t;++a)if(L[a]===n){var o=E[a];o.drawPick&&(o.pixelRatio=1,o.drawPick(D))}i.end()}}}()),F.axesPixels=a(F.axes,D,T,k),F.onrender&&F.onrender(),r.bindFramebuffer(r.FRAMEBUFFER,null),r.viewport(0,0,T,k),F.clearRGBA(),r.depthMask(!0),r.colorMask(!0,!0,!0,!0),r.enable(r.DEPTH_TEST),r.depthFunc(r.LEQUAL),r.disable(r.BLEND),r.disable(r.CULL_FACE);var M=!1;for(A.enable&&(M=M||A.isTransparent(),A.draw(D)),S.axes=A,x.object&&S.draw(D),r.disable(r.CULL_FACE),o=0;o<e;++o)(C=E[o]).axes=A,C.pixelRatio=F.pixelRatio,C.isOpaque&&C.isOpaque()&&C.draw(D),C.isTransparent&&C.isTransparent()&&(M=!0);if(M){for(b.shape=z,b.bind(),r.clear(r.DEPTH_BUFFER_BIT),r.colorMask(!1,!1,!1,!1),r.depthMask(!0),r.depthFunc(r.LESS),A.enable&&A.isTransparent()&&A.drawTransparent(D),o=0;o<e;++o)(C=E[o]).isOpaque&&C.isOpaque()&&C.draw(D);for(r.enable(r.BLEND),r.blendEquation(r.FUNC_ADD),r.blendFunc(r.ONE,r.ONE_MINUS_SRC_ALPHA),r.colorMask(!0,!0,!0,!0),r.depthMask(!1),r.clearColor(0,0,0,0),r.clear(r.COLOR_BUFFER_BIT),A.isTransparent()&&A.drawTransparent(D),o=0;o<e;++o){var C;(C=E[o]).isTransparent&&C.isTransparent()&&C.drawTransparent(D)}r.bindFramebuffer(r.FRAMEBUFFER,null),r.blendFunc(r.ONE,r.ONE_MINUS_SRC_ALPHA),r.disable(r.DEPTH_TEST),_.bind(),b.color[0].bind(0),_.uniforms.accumBuffer=0,u(r),r.disable(r.BLEND)}for(O=!1,o=0;o<e;++o)E[o].dirty=!1}}}return F.enableMouseListeners(),function t(){F._stopped||F.contextLost||(q(),requestAnimationFrame(t))}(),F.redraw=function(){F._stopped||(O=!0,q())},F},createCamera:n}},8023:function(t,e,r){var n=r(6832);e.pointVertex=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position;\\n\\nuniform mat3 matrix;\\nuniform float pointSize;\\nuniform float pointCloud;\\n\\nhighp float rand(vec2 co) {\\n  highp float a = 12.9898;\\n  highp float b = 78.233;\\n  highp float c = 43758.5453;\\n  highp float d = dot(co.xy, vec2(a, b));\\n  highp float e = mod(d, 3.14);\\n  return fract(sin(e) * c);\\n}\\n\\nvoid main() {\\n  vec3 hgPosition = matrix * vec3(position, 1);\\n  gl_Position  = vec4(hgPosition.xy, 0, hgPosition.z);\\n    // if we don't jitter the point size a bit, overall point cloud\\n    // saturation 'jumps' on zooming, which is disturbing and confusing\\n  gl_PointSize = pointSize * ((19.5 + rand(position)) / 20.0);\\n  if(pointCloud != 0.0) { // pointCloud is truthy\\n    // get the same square surface as circle would be\\n    gl_PointSize *= 0.886;\\n  }\\n}\"]),e.pointFragment=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color, borderColor;\\nuniform float centerFraction;\\nuniform float pointCloud;\\n\\nvoid main() {\\n  float radius;\\n  vec4 baseColor;\\n  if(pointCloud != 0.0) { // pointCloud is truthy\\n    if(centerFraction == 1.0) {\\n      gl_FragColor = color;\\n    } else {\\n      gl_FragColor = mix(borderColor, color, centerFraction);\\n    }\\n  } else {\\n    radius = length(2.0 * gl_PointCoord.xy - 1.0);\\n    if(radius > 1.0) {\\n      discard;\\n    }\\n    baseColor = mix(borderColor, color, step(radius, centerFraction));\\n    gl_FragColor = vec4(baseColor.rgb * baseColor.a, baseColor.a);\\n  }\\n}\\n\"]),e.pickVertex=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position;\\nattribute vec4 pickId;\\n\\nuniform mat3 matrix;\\nuniform float pointSize;\\nuniform vec4 pickOffset;\\n\\nvarying vec4 fragId;\\n\\nvoid main() {\\n  vec3 hgPosition = matrix * vec3(position, 1);\\n  gl_Position  = vec4(hgPosition.xy, 0, hgPosition.z);\\n  gl_PointSize = pointSize;\\n\\n  vec4 id = pickId + pickOffset;\\n  id.y += floor(id.x / 256.0);\\n  id.x -= floor(id.x / 256.0) * 256.0;\\n\\n  id.z += floor(id.y / 256.0);\\n  id.y -= floor(id.y / 256.0) * 256.0;\\n\\n  id.w += floor(id.z / 256.0);\\n  id.z -= floor(id.z / 256.0) * 256.0;\\n\\n  fragId = id;\\n}\\n\"]),e.pickFragment=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragId;\\n\\nvoid main() {\\n  float radius = length(2.0 * gl_PointCoord.xy - 1.0);\\n  if(radius > 1.0) {\\n    discard;\\n  }\\n  gl_FragColor = fragId / 255.0;\\n}\\n\"])},8271:function(t,e,r){\"use strict\";var n=r(5158),i=r(5827),a=r(5306),o=r(8023);function s(t,e,r,n,i){this.plot=t,this.offsetBuffer=e,this.pickBuffer=r,this.shader=n,this.pickShader=i,this.sizeMin=.5,this.sizeMinCap=2,this.sizeMax=20,this.areaRatio=1,this.pointCount=0,this.color=[1,0,0,1],this.borderColor=[0,0,0,1],this.blend=!1,this.pickOffset=0,this.points=null}t.exports=function(t,e){var r=t.gl,a=new s(t,i(r),i(r),n(r,o.pointVertex,o.pointFragment),n(r,o.pickVertex,o.pickFragment));return a.update(e),t.addObject(a),a};var l,u,c=s.prototype;c.dispose=function(){this.shader.dispose(),this.pickShader.dispose(),this.offsetBuffer.dispose(),this.pickBuffer.dispose(),this.plot.removeObject(this)},c.update=function(t){var e;function r(e,r){return e in t?t[e]:r}t=t||{},this.sizeMin=r(\"sizeMin\",.5),this.sizeMax=r(\"sizeMax\",20),this.color=r(\"color\",[1,0,0,1]).slice(),this.areaRatio=r(\"areaRatio\",1),this.borderColor=r(\"borderColor\",[0,0,0,1]).slice(),this.blend=r(\"blend\",!1);var n=t.positions.length>>>1,i=t.positions instanceof Float32Array,o=t.idToIndex instanceof Int32Array&&t.idToIndex.length>=n,s=t.positions,l=i?s:a.mallocFloat32(s.length),u=o?t.idToIndex:a.mallocInt32(n);if(i||l.set(s),!o)for(l.set(s),e=0;e<n;e++)u[e]=e;this.points=s,this.offsetBuffer.update(l),this.pickBuffer.update(u),i||a.free(l),o||a.free(u),this.pointCount=n,this.pickOffset=0},c.unifiedDraw=(l=[1,0,0,0,1,0,0,0,1],u=[0,0,0,0],function(t){var e=void 0!==t,r=e?this.pickShader:this.shader,n=this.plot.gl,i=this.plot.dataBox;if(0===this.pointCount)return t;var a=i[2]-i[0],o=i[3]-i[1],s=function(t,e){var r,n=0,i=t.length>>>1;for(r=0;r<i;r++){var a=t[2*r],o=t[2*r+1];a>=e[0]&&a<=e[2]&&o>=e[1]&&o<=e[3]&&n++}return n}(this.points,i),c=this.plot.pickPixelRatio*Math.max(Math.min(this.sizeMinCap,this.sizeMin),Math.min(this.sizeMax,this.sizeMax/Math.pow(s,.33333)));l[0]=2/a,l[4]=2/o,l[6]=-2*i[0]/a-1,l[7]=-2*i[1]/o-1,this.offsetBuffer.bind(),r.bind(),r.attributes.position.pointer(),r.uniforms.matrix=l,r.uniforms.color=this.color,r.uniforms.borderColor=this.borderColor,r.uniforms.pointCloud=c<5,r.uniforms.pointSize=c,r.uniforms.centerFraction=Math.min(1,Math.max(0,Math.sqrt(1-this.areaRatio))),e&&(u[0]=255&t,u[1]=t>>8&255,u[2]=t>>16&255,u[3]=t>>24&255,this.pickBuffer.bind(),r.attributes.pickId.pointer(n.UNSIGNED_BYTE),r.uniforms.pickOffset=u,this.pickOffset=t);var f=n.getParameter(n.BLEND),h=n.getParameter(n.DITHER);return f&&!this.blend&&n.disable(n.BLEND),h&&n.disable(n.DITHER),n.drawArrays(n.POINTS,0,this.pointCount),f&&!this.blend&&n.enable(n.BLEND),h&&n.enable(n.DITHER),t+this.pointCount}),c.draw=c.unifiedDraw,c.drawPick=c.unifiedDraw,c.pick=function(t,e,r){var n=this.pickOffset,i=this.pointCount;if(r<n||r>=n+i)return null;var a=r-n,o=this.points;return{object:this,pointId:a,dataCoord:[o[2*a],o[2*a+1]]}}},6093:function(t){t.exports=function(t,e,r,n){var i,a,o,s,l,u=e[0],c=e[1],f=e[2],h=e[3],p=r[0],d=r[1],v=r[2],g=r[3];return(a=u*p+c*d+f*v+h*g)<0&&(a=-a,p=-p,d=-d,v=-v,g=-g),1-a>1e-6?(i=Math.acos(a),o=Math.sin(i),s=Math.sin((1-n)*i)/o,l=Math.sin(n*i)/o):(s=1-n,l=n),t[0]=s*u+l*p,t[1]=s*c+l*d,t[2]=s*f+l*v,t[3]=s*h+l*g,t}},8240:function(t){\"use strict\";t.exports=function(t){return t||0===t?t.toString():\"\"}},4123:function(t,e,r){\"use strict\";var n=r(875);t.exports=function(t,e,r){var a=i[e];if(a||(a=i[e]={}),t in a)return a[t];var o={textAlign:\"center\",textBaseline:\"middle\",lineHeight:1,font:e,lineSpacing:1.25,styletags:{breaklines:!0,bolds:!0,italics:!0,subscripts:!0,superscripts:!0},triangles:!0},s=n(t,o);o.triangles=!1;var l,u,c=n(t,o);if(r&&1!==r){for(l=0;l<s.positions.length;++l)for(u=0;u<s.positions[l].length;++u)s.positions[l][u]/=r;for(l=0;l<c.positions.length;++l)for(u=0;u<c.positions[l].length;++u)c.positions[l][u]/=r}var f=[[1/0,1/0],[-1/0,-1/0]],h=c.positions.length;for(l=0;l<h;++l){var p=c.positions[l];for(u=0;u<2;++u)f[0][u]=Math.min(f[0][u],p[u]),f[1][u]=Math.max(f[1][u],p[u])}return a[t]=[s,c,f]};var i={}},9282:function(t,e,r){var n=r(5158),i=r(6832),a=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 glyph;\\nattribute vec4 id;\\n\\nuniform vec4 highlightId;\\nuniform float highlightScale;\\nuniform mat4 model, view, projection;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec4 interpColor;\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0,0,0,0);\\n  } else {\\n    float scale = 1.0;\\n    if(distance(highlightId, id) < 0.0001) {\\n      scale = highlightScale;\\n    }\\n\\n    vec4 worldPosition = model * vec4(position, 1);\\n    vec4 viewPosition = view * worldPosition;\\n    viewPosition = viewPosition / viewPosition.w;\\n    vec4 clipPosition = projection * (viewPosition + scale * vec4(glyph.x, -glyph.y, 0, 0));\\n\\n    gl_Position = clipPosition;\\n    interpColor = color;\\n    pickId = id;\\n    dataCoordinate = position;\\n  }\\n}\"]),o=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 glyph;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\nuniform vec2 screenSize;\\nuniform vec3 clipBounds[2];\\nuniform float highlightScale, pixelRatio;\\nuniform vec4 highlightId;\\n\\nvarying vec4 interpColor;\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0,0,0,0);\\n  } else {\\n    float scale = pixelRatio;\\n    if(distance(highlightId.bgr, id.bgr) < 0.001) {\\n      scale *= highlightScale;\\n    }\\n\\n    vec4 worldPosition = model * vec4(position, 1.0);\\n    vec4 viewPosition = view * worldPosition;\\n    vec4 clipPosition = projection * viewPosition;\\n    clipPosition /= clipPosition.w;\\n\\n    gl_Position = clipPosition + vec4(screenSize * scale * vec2(glyph.x, -glyph.y), 0.0, 0.0);\\n    interpColor = color;\\n    pickId = id;\\n    dataCoordinate = position;\\n  }\\n}\"]),s=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 glyph;\\nattribute vec4 id;\\n\\nuniform float highlightScale;\\nuniform vec4 highlightId;\\nuniform vec3 axes[2];\\nuniform mat4 model, view, projection;\\nuniform vec2 screenSize;\\nuniform vec3 clipBounds[2];\\nuniform float scale, pixelRatio;\\n\\nvarying vec4 interpColor;\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0,0,0,0);\\n  } else {\\n    float lscale = pixelRatio * scale;\\n    if(distance(highlightId, id) < 0.0001) {\\n      lscale *= highlightScale;\\n    }\\n\\n    vec4 clipCenter   = projection * view * model * vec4(position, 1);\\n    vec3 dataPosition = position + 0.5*lscale*(axes[0] * glyph.x + axes[1] * glyph.y) * clipCenter.w * screenSize.y;\\n    vec4 clipPosition = projection * view * model * vec4(dataPosition, 1);\\n\\n    gl_Position = clipPosition;\\n    interpColor = color;\\n    pickId = id;\\n    dataCoordinate = dataPosition;\\n  }\\n}\\n\"]),l=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 fragClipBounds[2];\\nuniform float opacity;\\n\\nvarying vec4 interpColor;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (\\n    outOfRange(fragClipBounds[0], fragClipBounds[1], dataCoordinate) ||\\n    interpColor.a * opacity == 0.\\n  ) discard;\\n  gl_FragColor = interpColor * opacity;\\n}\\n\"]),u=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 fragClipBounds[2];\\nuniform float pickGroup;\\n\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (outOfRange(fragClipBounds[0], fragClipBounds[1], dataCoordinate)) discard;\\n\\n  gl_FragColor = vec4(pickGroup, pickId.bgr);\\n}\"]),c=[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"glyph\",type:\"vec2\"},{name:\"id\",type:\"vec4\"}],f={vertex:a,fragment:l,attributes:c},h={vertex:o,fragment:l,attributes:c},p={vertex:s,fragment:l,attributes:c},d={vertex:a,fragment:u,attributes:c},v={vertex:o,fragment:u,attributes:c},g={vertex:s,fragment:u,attributes:c};function y(t,e){var r=n(t,e),i=r.attributes;return i.position.location=0,i.color.location=1,i.glyph.location=2,i.id.location=3,r}e.createPerspective=function(t){return y(t,f)},e.createOrtho=function(t){return y(t,h)},e.createProject=function(t){return y(t,p)},e.createPickPerspective=function(t){return y(t,d)},e.createPickOrtho=function(t){return y(t,v)},e.createPickProject=function(t){return y(t,g)}},2182:function(t,e,r){\"use strict\";var n=r(3596),i=r(5827),a=r(2944),o=r(5306),s=r(104),l=r(9282),u=r(4123),c=r(8240),f=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function h(t,e){var r=t[0],n=t[1],i=t[2],a=t[3];return t[0]=e[0]*r+e[4]*n+e[8]*i+e[12]*a,t[1]=e[1]*r+e[5]*n+e[9]*i+e[13]*a,t[2]=e[2]*r+e[6]*n+e[10]*i+e[14]*a,t[3]=e[3]*r+e[7]*n+e[11]*i+e[15]*a,t}function p(t,e,r,n){return h(n,n),h(n,n),h(n,n)}function d(t,e){this.index=t,this.dataCoordinate=this.position=e}function v(t){return!0===t||t>1?1:t}function g(t,e,r,n,i,a,o,s,l,u,c,f){this.gl=t,this.pixelRatio=1,this.shader=e,this.orthoShader=r,this.projectShader=n,this.pointBuffer=i,this.colorBuffer=a,this.glyphBuffer=o,this.idBuffer=s,this.vao=l,this.vertexCount=0,this.lineVertexCount=0,this.opacity=1,this.hasAlpha=!1,this.lineWidth=0,this.projectScale=[2/3,2/3,2/3],this.projectOpacity=[1,1,1],this.projectHasAlpha=!1,this.pickId=0,this.pickPerspectiveShader=u,this.pickOrthoShader=c,this.pickProjectShader=f,this.points=[],this._selectResult=new d(0,[0,0,0]),this.useOrtho=!0,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.axesProject=[!0,!0,!0],this.axesBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.highlightId=[1,1,1,1],this.highlightScale=2,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.dirty=!0}t.exports=function(t){var e=t.gl,r=l.createPerspective(e),n=l.createOrtho(e),o=l.createProject(e),s=l.createPickPerspective(e),u=l.createPickOrtho(e),c=l.createPickProject(e),f=i(e),h=i(e),p=i(e),d=i(e),v=new g(e,r,n,o,f,h,p,d,a(e,[{buffer:f,size:3,type:e.FLOAT},{buffer:h,size:4,type:e.FLOAT},{buffer:p,size:2,type:e.FLOAT},{buffer:d,size:4,type:e.UNSIGNED_BYTE,normalized:!0}]),s,u,c);return v.update(t),v};var y=g.prototype;y.pickSlots=1,y.setPickBase=function(t){this.pickId=t},y.isTransparent=function(){if(this.hasAlpha)return!0;for(var t=0;t<3;++t)if(this.axesProject[t]&&this.projectHasAlpha)return!0;return!1},y.isOpaque=function(){if(!this.hasAlpha)return!0;for(var t=0;t<3;++t)if(this.axesProject[t]&&!this.projectHasAlpha)return!0;return!1};var m=[0,0],x=[0,0,0],b=[0,0,0],_=[0,0,0,1],w=[0,0,0,1],T=f.slice(),k=[0,0,0],A=[[0,0,0],[0,0,0]];function M(t){return t[0]=t[1]=t[2]=0,t}function S(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t[3]=1,t}function E(t,e,r,n){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t[r]=n,t}var L=[[-1e8,-1e8,-1e8],[1e8,1e8,1e8]];function C(t,e,r,n,i,a,o){var l=r.gl;if((a===r.projectHasAlpha||o)&&function(t,e,r,n){var i,a=e.axesProject,o=e.gl,l=t.uniforms,u=r.model||f,c=r.view||f,h=r.projection||f,d=e.axesBounds,v=function(t){for(var e=A,r=0;r<2;++r)for(var n=0;n<3;++n)e[r][n]=Math.max(Math.min(t[r][n],1e8),-1e8);return e}(e.clipBounds);i=e.axes&&e.axes.lastCubeProps?e.axes.lastCubeProps.axis:[1,1,1],m[0]=2/o.drawingBufferWidth,m[1]=2/o.drawingBufferHeight,t.bind(),l.view=c,l.projection=h,l.screenSize=m,l.highlightId=e.highlightId,l.highlightScale=e.highlightScale,l.clipBounds=v,l.pickGroup=e.pickId/255,l.pixelRatio=n;for(var g=0;g<3;++g)if(a[g]){l.scale=e.projectScale[g],l.opacity=e.projectOpacity[g];for(var y=T,L=0;L<16;++L)y[L]=0;for(L=0;L<4;++L)y[5*L]=1;y[5*g]=0,i[g]<0?y[12+g]=d[0][g]:y[12+g]=d[1][g],s(y,u,y),l.model=y;var C=(g+1)%3,P=(g+2)%3,O=M(x),I=M(b);O[C]=1,I[P]=1;var D=p(0,0,0,S(_,O)),z=p(0,0,0,S(w,I));if(Math.abs(D[1])>Math.abs(z[1])){var R=D;D=z,z=R,R=O,O=I,I=R;var F=C;C=P,P=F}D[0]<0&&(O[C]=-1),z[1]>0&&(I[P]=-1);var B=0,N=0;for(L=0;L<4;++L)B+=Math.pow(u[4*C+L],2),N+=Math.pow(u[4*P+L],2);O[C]/=Math.sqrt(B),I[P]/=Math.sqrt(N),l.axes[0]=O,l.axes[1]=I,l.fragClipBounds[0]=E(k,v[0],g,-1e8),l.fragClipBounds[1]=E(k,v[1],g,1e8),e.vao.bind(),e.vao.draw(o.TRIANGLES,e.vertexCount),e.lineWidth>0&&(o.lineWidth(e.lineWidth*n),e.vao.draw(o.LINES,e.lineVertexCount,e.vertexCount)),e.vao.unbind()}}(e,r,n,i),a===r.hasAlpha||o){t.bind();var u=t.uniforms;u.model=n.model||f,u.view=n.view||f,u.projection=n.projection||f,m[0]=2/l.drawingBufferWidth,m[1]=2/l.drawingBufferHeight,u.screenSize=m,u.highlightId=r.highlightId,u.highlightScale=r.highlightScale,u.fragClipBounds=L,u.clipBounds=r.axes.bounds,u.opacity=r.opacity,u.pickGroup=r.pickId/255,u.pixelRatio=i,r.vao.bind(),r.vao.draw(l.TRIANGLES,r.vertexCount),r.lineWidth>0&&(l.lineWidth(r.lineWidth*i),r.vao.draw(l.LINES,r.lineVertexCount,r.vertexCount)),r.vao.unbind()}}function P(t,e,r,i){var a;a=Array.isArray(t)?e<t.length?t[e]:void 0:t,a=c(a);var o=!0;n(a)&&(a=\"▼\",o=!1);var s=u(a,r,i);return{mesh:s[0],lines:s[1],bounds:s[2],visible:o}}y.draw=function(t){C(this.useOrtho?this.orthoShader:this.shader,this.projectShader,this,t,this.pixelRatio,!1,!1)},y.drawTransparent=function(t){C(this.useOrtho?this.orthoShader:this.shader,this.projectShader,this,t,this.pixelRatio,!0,!1)},y.drawPick=function(t){C(this.useOrtho?this.pickOrthoShader:this.pickPerspectiveShader,this.pickProjectShader,this,t,1,!0,!0)},y.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=t.value[2]+(t.value[1]<<8)+(t.value[0]<<16);if(e>=this.pointCount||e<0)return null;var r=this.points[e],n=this._selectResult;n.index=e;for(var i=0;i<3;++i)n.position[i]=n.dataCoordinate[i]=r[i];return n},y.highlight=function(t){if(t){var e=t.index,r=255&e,n=e>>8&255,i=e>>16&255;this.highlightId=[r/255,n/255,i/255,0]}else this.highlightId=[1,1,1,1]},y.update=function(t){if(\"perspective\"in(t=t||{})&&(this.useOrtho=!t.perspective),\"orthographic\"in t&&(this.useOrtho=!!t.orthographic),\"lineWidth\"in t&&(this.lineWidth=t.lineWidth),\"project\"in t)if(Array.isArray(t.project))this.axesProject=t.project;else{var e=!!t.project;this.axesProject=[e,e,e]}if(\"projectScale\"in t)if(Array.isArray(t.projectScale))this.projectScale=t.projectScale.slice();else{var r=+t.projectScale;this.projectScale=[r,r,r]}if(this.projectHasAlpha=!1,\"projectOpacity\"in t){Array.isArray(t.projectOpacity)?this.projectOpacity=t.projectOpacity.slice():(r=+t.projectOpacity,this.projectOpacity=[r,r,r]);for(var n=0;n<3;++n)this.projectOpacity[n]=v(this.projectOpacity[n]),this.projectOpacity[n]<1&&(this.projectHasAlpha=!0)}this.hasAlpha=!1,\"opacity\"in t&&(this.opacity=v(t.opacity),this.opacity<1&&(this.hasAlpha=!0)),this.dirty=!0;var i,a,s=t.position,l=t.font||\"normal\",u=t.alignment||[0,0];if(2===u.length)i=u[0],a=u[1];else for(i=[],a=[],n=0;n<u.length;++n)i[n]=u[n][0],a[n]=u[n][1];var c=[1/0,1/0,1/0],f=[-1/0,-1/0,-1/0],h=t.glyph,p=t.color,d=t.size,g=t.angle,y=t.lineColor,m=-1,x=0,b=0,_=0;if(s.length){_=s.length;t:for(n=0;n<_;++n){for(var w=s[n],T=0;T<3;++T)if(isNaN(w[T])||!isFinite(w[T]))continue t;var k=(N=P(h,n,l,this.pixelRatio)).mesh,A=N.lines,M=N.bounds;x+=3*k.cells.length,b+=2*A.edges.length}}var S=x+b,E=o.mallocFloat(3*S),L=o.mallocFloat(4*S),C=o.mallocFloat(2*S),O=o.mallocUint32(S);if(S>0){var I=0,D=x,z=[0,0,0,1],R=[0,0,0,1],F=Array.isArray(p)&&Array.isArray(p[0]),B=Array.isArray(y)&&Array.isArray(y[0]);t:for(n=0;n<_;++n){for(m+=1,w=s[n],T=0;T<3;++T){if(isNaN(w[T])||!isFinite(w[T]))continue t;f[T]=Math.max(f[T],w[T]),c[T]=Math.min(c[T],w[T])}k=(N=P(h,n,l,this.pixelRatio)).mesh,A=N.lines,M=N.bounds;var N,j=N.visible;if(j)if(Array.isArray(p)){if(3===(U=F?n<p.length?p[n]:[0,0,0,0]:p).length){for(T=0;T<3;++T)z[T]=U[T];z[3]=1}else if(4===U.length){for(T=0;T<4;++T)z[T]=U[T];!this.hasAlpha&&U[3]<1&&(this.hasAlpha=!0)}}else z[0]=z[1]=z[2]=0,z[3]=1;else z=[1,1,1,0];if(j)if(Array.isArray(y)){var U;if(3===(U=B?n<y.length?y[n]:[0,0,0,0]:y).length){for(T=0;T<3;++T)R[T]=U[T];R[T]=1}else if(4===U.length){for(T=0;T<4;++T)R[T]=U[T];!this.hasAlpha&&U[3]<1&&(this.hasAlpha=!0)}}else R[0]=R[1]=R[2]=0,R[3]=1;else R=[1,1,1,0];var V=.5;j?Array.isArray(d)?V=n<d.length?+d[n]:12:d?V=+d:this.useOrtho&&(V=12):V=0;var H=0;Array.isArray(g)?H=n<g.length?+g[n]:0:g&&(H=+g);var q=Math.cos(H),G=Math.sin(H);for(w=s[n],T=0;T<3;++T)f[T]=Math.max(f[T],w[T]),c[T]=Math.min(c[T],w[T]);var Z=i,Y=a;Z=0,Array.isArray(i)?Z=n<i.length?i[n]:0:i&&(Z=i),Y=0,Array.isArray(a)?Y=n<a.length?a[n]:0:a&&(Y=a);var W=[Z*=Z>0?1-M[0][0]:Z<0?1+M[1][0]:1,Y*=Y>0?1-M[0][1]:Y<0?1+M[1][1]:1],X=k.cells||[],J=k.positions||[];for(T=0;T<X.length;++T)for(var K=X[T],$=0;$<3;++$){for(var Q=0;Q<3;++Q)E[3*I+Q]=w[Q];for(Q=0;Q<4;++Q)L[4*I+Q]=z[Q];O[I]=m;var tt=J[K[$]];C[2*I]=V*(q*tt[0]-G*tt[1]+W[0]),C[2*I+1]=V*(G*tt[0]+q*tt[1]+W[1]),I+=1}for(X=A.edges,J=A.positions,T=0;T<X.length;++T)for(K=X[T],$=0;$<2;++$){for(Q=0;Q<3;++Q)E[3*D+Q]=w[Q];for(Q=0;Q<4;++Q)L[4*D+Q]=R[Q];O[D]=m,tt=J[K[$]],C[2*D]=V*(q*tt[0]-G*tt[1]+W[0]),C[2*D+1]=V*(G*tt[0]+q*tt[1]+W[1]),D+=1}}}this.bounds=[c,f],this.points=s,this.pointCount=s.length,this.vertexCount=x,this.lineVertexCount=b,this.pointBuffer.update(E),this.colorBuffer.update(L),this.glyphBuffer.update(C),this.idBuffer.update(O),o.free(E),o.free(L),o.free(C),o.free(O)},y.dispose=function(){this.shader.dispose(),this.orthoShader.dispose(),this.pickPerspectiveShader.dispose(),this.pickOrthoShader.dispose(),this.vao.dispose(),this.pointBuffer.dispose(),this.colorBuffer.dispose(),this.glyphBuffer.dispose(),this.idBuffer.dispose()}},1884:function(t,e,r){\"use strict\";var n=r(6832);e.boxVertex=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 vertex;\\n\\nuniform vec2 cornerA, cornerB;\\n\\nvoid main() {\\n  gl_Position = vec4(mix(cornerA, cornerB, vertex), 0, 1);\\n}\\n\"]),e.boxFragment=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color;\\n\\nvoid main() {\\n  gl_FragColor = color;\\n}\\n\"])},6623:function(t,e,r){\"use strict\";var n=r(5158),i=r(5827),a=r(1884);function o(t,e,r){this.plot=t,this.boxBuffer=e,this.boxShader=r,this.enabled=!0,this.selectBox=[1/0,1/0,-1/0,-1/0],this.borderColor=[0,0,0,1],this.innerFill=!1,this.innerColor=[0,0,0,.25],this.outerFill=!0,this.outerColor=[0,0,0,.5],this.borderWidth=10}t.exports=function(t,e){var r=t.gl,s=new o(t,i(r,[0,0,0,1,1,0,1,1]),n(r,a.boxVertex,a.boxFragment));return s.update(e),t.addOverlay(s),s};var s=o.prototype;s.draw=function(){if(this.enabled){var t=this.plot,e=this.selectBox,r=this.borderWidth,n=(this.innerFill,this.innerColor),i=(this.outerFill,this.outerColor),a=this.borderColor,o=t.box,s=t.screenBox,l=t.dataBox,u=t.viewBox,c=t.pixelRatio,f=(e[0]-l[0])*(u[2]-u[0])/(l[2]-l[0])+u[0],h=(e[1]-l[1])*(u[3]-u[1])/(l[3]-l[1])+u[1],p=(e[2]-l[0])*(u[2]-u[0])/(l[2]-l[0])+u[0],d=(e[3]-l[1])*(u[3]-u[1])/(l[3]-l[1])+u[1];if(f=Math.max(f,u[0]),h=Math.max(h,u[1]),p=Math.min(p,u[2]),d=Math.min(d,u[3]),!(p<f||d<h)){o.bind();var v=s[2]-s[0],g=s[3]-s[1];if(this.outerFill&&(o.drawBox(0,0,v,h,i),o.drawBox(0,h,f,d,i),o.drawBox(0,d,v,g,i),o.drawBox(p,h,v,d,i)),this.innerFill&&o.drawBox(f,h,p,d,n),r>0){var y=r*c;o.drawBox(f-y,h-y,p+y,h+y,a),o.drawBox(f-y,d-y,p+y,d+y,a),o.drawBox(f-y,h-y,f+y,d+y,a),o.drawBox(p-y,h-y,p+y,d+y,a)}}}},s.update=function(t){t=t||{},this.innerFill=!!t.innerFill,this.outerFill=!!t.outerFill,this.innerColor=(t.innerColor||[0,0,0,.5]).slice(),this.outerColor=(t.outerColor||[0,0,0,.5]).slice(),this.borderColor=(t.borderColor||[0,0,0,1]).slice(),this.borderWidth=t.borderWidth||0,this.selectBox=(t.selectBox||this.selectBox).slice()},s.dispose=function(){this.boxBuffer.dispose(),this.boxShader.dispose(),this.plot.removeOverlay(this)}},2611:function(t,e,r){\"use strict\";t.exports=function(t,e){var r=e[0],a=e[1];return new l(t,n(t,r,a,{}),i.mallocUint8(r*a*4))};var n=r(4234),i=r(5306),a=r(5050),o=r(2288).nextPow2;function s(t,e,r,n,i){this.coord=[t,e],this.id=r,this.value=n,this.distance=i}function l(t,e,r){this.gl=t,this.fbo=e,this.buffer=r,this._readTimeout=null;var 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h=u,p=c,d=0;d<3;++d)i&&i[d]<0?(h[d]=this.bounds[0][d],p[d]=this.bounds[1][d]):(h[d]=this.bounds[1][d],p[d]=this.bounds[0][d]);for(f[0]=e.drawingBufferWidth,f[1]=e.drawingBufferHeight,n.uniforms.model=a,n.uniforms.view=s,n.uniforms.projection=l,n.uniforms.coordinates=[this.position,h,p],n.uniforms.colors=this.colors,n.uniforms.screenShape=f,d=0;d<3;++d)n.uniforms.lineWidth=this.lineWidth[d]*this.pixelRatio,this.enabled[d]&&(r.draw(e.TRIANGLES,6,6*d),this.drawSides[d]&&r.draw(e.TRIANGLES,12,18+12*d));r.unbind()},l.update=function(t){t&&(\"bounds\"in t&&(this.bounds=t.bounds),\"position\"in t&&(this.position=t.position),\"lineWidth\"in t&&(this.lineWidth=t.lineWidth),\"colors\"in t&&(this.colors=t.colors),\"enabled\"in t&&(this.enabled=t.enabled),\"drawSides\"in t&&(this.drawSides=t.drawSides))},l.dispose=function(){this.vao.dispose(),this.buffer.dispose(),this.shader.dispose()}},9578:function(t,e,r){var n=r(6832),i=n([\"precision highp float;\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nvec3 getOrthogonalVector(vec3 v) {\\n  // Return up-vector for only-z vector.\\n  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\\n  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\\n  // Assign z = 0, x = -b, y = a:\\n  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\\n  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\\n    return normalize(vec3(-v.y, v.x, 0.0));\\n  } else {\\n    return normalize(vec3(0.0, v.z, -v.y));\\n  }\\n}\\n\\n// Calculate the tube vertex and normal at the given index.\\n//\\n// The returned vertex is for a tube ring with its center at origin, radius of length(d), pointing in the direction of d.\\n//\\n// Each tube segment is made up of a ring of vertices.\\n// These vertices are used to make up the triangles of the tube by connecting them together in the vertex array.\\n// The indexes of tube segments run from 0 to 8.\\n//\\nvec3 getTubePosition(vec3 d, float index, out vec3 normal) {\\n  float segmentCount = 8.0;\\n\\n  float angle = 2.0 * 3.14159 * (index / segmentCount);\\n\\n  vec3 u = getOrthogonalVector(d);\\n  vec3 v = normalize(cross(u, d));\\n\\n  vec3 x = u * cos(angle) * length(d);\\n  vec3 y = v * sin(angle) * length(d);\\n  vec3 v3 = x + y;\\n\\n  normal = normalize(v3);\\n\\n  return v3;\\n}\\n\\nattribute vec4 vector;\\nattribute vec4 color, position;\\nattribute vec2 uv;\\n\\nuniform float vectorScale, tubeScale;\\nuniform mat4 model, view, projection, inverseModel;\\nuniform vec3 eyePosition, lightPosition;\\n\\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  // Scale the vector magnitude to stay constant with\\n  // model & view changes.\\n  vec3 normal;\\n  vec3 XYZ = getTubePosition(mat3(model) * (tubeScale * vector.w * normalize(vector.xyz)), position.w, normal);\\n  vec4 tubePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\\n\\n  //Lighting geometry parameters\\n  vec4 cameraCoordinate = view * tubePosition;\\n  cameraCoordinate.xyz /= cameraCoordinate.w;\\n  f_lightDirection = lightPosition - cameraCoordinate.xyz;\\n  f_eyeDirection   = eyePosition - cameraCoordinate.xyz;\\n  f_normal = normalize((vec4(normal, 0.0) * inverseModel).xyz);\\n\\n  // vec4 m_position  = model * vec4(tubePosition, 1.0);\\n  vec4 t_position  = view * tubePosition;\\n  gl_Position      = projection * t_position;\\n\\n  f_color          = color;\\n  f_data           = tubePosition.xyz;\\n  f_position       = position.xyz;\\n  f_uv             = uv;\\n}\\n\"]),a=n([\"#extension GL_OES_standard_derivatives : enable\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nfloat beckmannDistribution(float x, float roughness) {\\n  float NdotH = max(x, 0.0001);\\n  float cos2Alpha = NdotH * NdotH;\\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\\n  float roughness2 = roughness * roughness;\\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\\n  return exp(tan2Alpha / roughness2) / denom;\\n}\\n\\nfloat cookTorranceSpecular(\\n  vec3 lightDirection,\\n  vec3 viewDirection,\\n  vec3 surfaceNormal,\\n  float roughness,\\n  float fresnel) {\\n\\n  float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\\n  float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\\n\\n  //Half angle vector\\n  vec3 H = normalize(lightDirection + viewDirection);\\n\\n  //Geometric term\\n  float NdotH = max(dot(surfaceNormal, H), 0.0);\\n  float VdotH = max(dot(viewDirection, H), 0.000001);\\n  float LdotH = max(dot(lightDirection, H), 0.000001);\\n  float G1 = (2.0 * NdotH * VdotN) / VdotH;\\n  float G2 = (2.0 * NdotH * LdotN) / LdotH;\\n  float G = min(1.0, min(G1, G2));\\n  \\n  //Distribution term\\n  float D = beckmannDistribution(NdotH, roughness);\\n\\n  //Fresnel term\\n  float F = pow(1.0 - VdotN, fresnel);\\n\\n  //Multiply terms and done\\n  return  G * F * D / max(3.14159265 * VdotN, 0.000001);\\n}\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\\nuniform sampler2D texture;\\n\\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n  vec3 N = normalize(f_normal);\\n  vec3 L = normalize(f_lightDirection);\\n  vec3 V = normalize(f_eyeDirection);\\n\\n  if(gl_FrontFacing) {\\n    N = -N;\\n  }\\n\\n  float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\\n\\n  vec4 surfaceColor = f_color * texture2D(texture, f_uv);\\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\\n\\n  gl_FragColor = litColor * opacity;\\n}\\n\"]),o=n([\"precision highp float;\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nvec3 getOrthogonalVector(vec3 v) {\\n  // Return up-vector for only-z vector.\\n  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\\n  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\\n  // Assign z = 0, x = -b, y = a:\\n  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\\n  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\\n    return normalize(vec3(-v.y, v.x, 0.0));\\n  } else {\\n    return normalize(vec3(0.0, v.z, -v.y));\\n  }\\n}\\n\\n// Calculate the tube vertex and normal at the given index.\\n//\\n// The returned vertex is for a tube ring with its center at origin, radius of length(d), pointing in the direction of d.\\n//\\n// Each tube segment is made up of a ring of vertices.\\n// These vertices are used to make up the triangles of the tube by connecting them together in the vertex array.\\n// The indexes of tube segments run from 0 to 8.\\n//\\nvec3 getTubePosition(vec3 d, float index, out vec3 normal) {\\n  float segmentCount = 8.0;\\n\\n  float angle = 2.0 * 3.14159 * (index / segmentCount);\\n\\n  vec3 u = getOrthogonalVector(d);\\n  vec3 v = normalize(cross(u, d));\\n\\n  vec3 x = u * cos(angle) * length(d);\\n  vec3 y = v * sin(angle) * length(d);\\n  vec3 v3 = x + y;\\n\\n  normal = normalize(v3);\\n\\n  return v3;\\n}\\n\\nattribute vec4 vector;\\nattribute vec4 position;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\nuniform float tubeScale;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  vec3 normal;\\n  vec3 XYZ = getTubePosition(mat3(model) * (tubeScale * vector.w * normalize(vector.xyz)), position.w, normal);\\n  vec4 tubePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\\n\\n  gl_Position = projection * view * tubePosition;\\n  f_id        = id;\\n  f_position  = position.xyz;\\n}\\n\"]),s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3  clipBounds[2];\\nuniform float pickId;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n\\n  gl_FragColor = vec4(pickId, f_id.xyz);\\n}\"]);e.meshShader={vertex:i,fragment:a,attributes:[{name:\"position\",type:\"vec4\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"},{name:\"vector\",type:\"vec4\"}]},e.pickShader={vertex:o,fragment:s,attributes:[{name:\"position\",type:\"vec4\"},{name:\"id\",type:\"vec4\"},{name:\"vector\",type:\"vec4\"}]}},7307:function(t,e,r){\"use strict\";var n=r(2858),i=r(4020),a=[\"xyz\",\"xzy\",\"yxz\",\"yzx\",\"zxy\",\"zyx\"],o=function(t,e){var r,n=t.length;for(r=0;r<n;r++){var i=t[r];if(i===e)return r;if(i>e)return r-1}return r},s=function(t,e,r){return t<e?e:t>r?r:t},l=function(t){var e=1/0;t.sort((function(t,e){return t-e}));for(var r=t.length,n=1;n<r;n++){var i=Math.abs(t[n]-t[n-1]);i<e&&(e=i)}return e};t.exports=function(t,e){var r=t.startingPositions,u=t.maxLength||1e3,c=t.tubeSize||1,f=t.absoluteTubeSize,h=t.gridFill||\"+x+y+z\",p={};-1!==h.indexOf(\"-x\")&&(p.reversedX=!0),-1!==h.indexOf(\"-y\")&&(p.reversedY=!0),-1!==h.indexOf(\"-z\")&&(p.reversedZ=!0),p.filled=a.indexOf(h.replace(/-/g,\"\").replace(/\\+/g,\"\"));var d=t.getVelocity||function(e){return function(t,e,r){var i=e.vectors,a=e.meshgrid,l=t[0],u=t[1],c=t[2],f=a[0].length,h=a[1].length,p=a[2].length,d=o(a[0],l),v=o(a[1],u),g=o(a[2],c),y=d+1,m=v+1,x=g+1;if(d=s(d,0,f-1),y=s(y,0,f-1),v=s(v,0,h-1),m=s(m,0,h-1),g=s(g,0,p-1),x=s(x,0,p-1),d<0||v<0||g<0||y>f-1||m>h-1||x>p-1)return n.create();var b,_,w,T,k,A,M=a[0][d],S=a[0][y],E=a[1][v],L=a[1][m],C=a[2][g],P=(l-M)/(S-M),O=(u-E)/(L-E),I=(c-C)/(a[2][x]-C);switch(isFinite(P)||(P=.5),isFinite(O)||(O=.5),isFinite(I)||(I=.5),r.reversedX&&(d=f-1-d,y=f-1-y),r.reversedY&&(v=h-1-v,m=h-1-m),r.reversedZ&&(g=p-1-g,x=p-1-x),r.filled){case 5:k=g,A=x,w=v*p,T=m*p,b=d*p*h,_=y*p*h;break;case 4:k=g,A=x,b=d*p,_=y*p,w=v*p*f,T=m*p*f;break;case 3:w=v,T=m,k=g*h,A=x*h,b=d*h*p,_=y*h*p;break;case 2:w=v,T=m,b=d*h,_=y*h,k=g*h*f,A=x*h*f;break;case 1:b=d,_=y,k=g*f,A=x*f,w=v*f*p,T=m*f*p;break;default:b=d,_=y,w=v*f,T=m*f,k=g*f*h,A=x*f*h}var D=i[b+w+k],z=i[b+w+A],R=i[b+T+k],F=i[b+T+A],B=i[_+w+k],N=i[_+w+A],j=i[_+T+k],U=i[_+T+A],V=n.create(),H=n.create(),q=n.create(),G=n.create();n.lerp(V,D,B,P),n.lerp(H,z,N,P),n.lerp(q,R,j,P),n.lerp(G,F,U,P);var Z=n.create(),Y=n.create();n.lerp(Z,V,q,O),n.lerp(Y,H,G,O);var W=n.create();return n.lerp(W,Z,Y,I),W}(e,t,p)},v=t.getDivergence||function(t,e){var r=n.create(),i=1e-4;n.add(r,t,[i,0,0]);var a=d(r);n.subtract(a,a,e),n.scale(a,a,1/i),n.add(r,t,[0,i,0]);var o=d(r);n.subtract(o,o,e),n.scale(o,o,1/i),n.add(r,t,[0,0,i]);var s=d(r);return n.subtract(s,s,e),n.scale(s,s,1/i),n.add(r,a,o),n.add(r,r,s),r},g=[],y=e[0][0],m=e[0][1],x=e[0][2],b=e[1][0],_=e[1][1],w=e[1][2],T=function(t){var e=t[0],r=t[1],n=t[2];return!(e<y||e>b||r<m||r>_||n<x||n>w)},k=10*n.distance(e[0],e[1])/u,A=k*k,M=1,S=0,E=r.length;E>1&&(M=function(t){for(var e=[],r=[],n=[],i={},a={},o={},s=t.length,u=0;u<s;u++){var c=t[u],f=c[0],h=c[1],p=c[2];i[f]||(e.push(f),i[f]=!0),a[h]||(r.push(h),a[h]=!0),o[p]||(n.push(p),o[p]=!0)}var d=l(e),v=l(r),g=l(n),y=Math.min(d,v,g);return isFinite(y)?y:1}(r));for(var L=0;L<E;L++){var C=n.create();n.copy(C,r[L]);var P=[C],O=[],I=d(C),D=C;O.push(I);var z=[],R=v(C,I),F=n.length(R);isFinite(F)&&F>S&&(S=F),z.push(F),g.push({points:P,velocities:O,divergences:z});for(var B=0;B<100*u&&P.length<u&&T(C);){B++;var N=n.clone(I),j=n.squaredLength(N);if(0===j)break;j>A&&n.scale(N,N,k/Math.sqrt(j)),n.add(N,N,C),I=d(N),n.squaredDistance(D,N)-A>-1e-4*A&&(P.push(N),D=N,O.push(I),R=v(N,I),F=n.length(R),isFinite(F)&&F>S&&(S=F),z.push(F)),C=N}}var U=function(t,e,r,a){for(var o=0,s=0;s<t.length;s++)for(var l=t[s].velocities,u=0;u<l.length;u++)o=Math.max(o,n.length(l[u]));var c=t.map((function(t){return function(t,e,r,a){for(var o=t.points,s=t.velocities,l=t.divergences,u=[],c=[],f=[],h=[],p=[],d=[],v=0,g=0,y=i.create(),m=i.create(),x=0;x<o.length;x++){var b=o[x],_=s[x],w=l[x];0===e&&(w=.05*r),g=n.length(_)/a,y=i.create(),n.copy(y,_),y[3]=w;for(var T=0;T<8;T++)p[T]=[b[0],b[1],b[2],T];if(h.length>0)for(T=0;T<8;T++){var k=(T+1)%8;u.push(h[T],p[T],p[k],p[k],h[k],h[T]),f.push(m,y,y,y,m,m),d.push(v,g,g,g,v,v);var A=u.length;c.push([A-6,A-5,A-4],[A-3,A-2,A-1])}var M=h;h=p,p=M;var S=m;m=y,y=S;var E=v;v=g,g=E}return{positions:u,cells:c,vectors:f,vertexIntensity:d}}(t,r,a,o)})),f=[],h=[],p=[],d=[];for(s=0;s<c.length;s++){var v=c[s],g=f.length;for(f=f.concat(v.positions),p=p.concat(v.vectors),d=d.concat(v.vertexIntensity),u=0;u<v.cells.length;u++){var y=v.cells[u],m=[];h.push(m);for(var x=0;x<y.length;x++)m.push(y[x]+g)}}return{positions:f,cells:h,vectors:p,vertexIntensity:d,colormap:e}}(g,t.colormap,S,M);return f?U.tubeScale=f:(0===S&&(S=1),U.tubeScale=.5*c*M/S),U};var u=r(9578),c=r(1140).createMesh;t.exports.createTubeMesh=function(t,e){return c(t,e,{shaders:u,traceType:\"streamtube\"})}},9054:function(t,e,r){var n=r(5158),i=r(6832),a=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec4 uv;\\nattribute vec3 f;\\nattribute vec3 normal;\\n\\nuniform vec3 objectOffset;\\nuniform mat4 model, view, projection, inverseModel;\\nuniform vec3 lightPosition, eyePosition;\\nuniform sampler2D colormap;\\n\\nvarying float value, kill;\\nvarying vec3 worldCoordinate;\\nvarying vec2 planeCoordinate;\\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\\nvarying vec4 vColor;\\n\\nvoid main() {\\n  vec3 localCoordinate = vec3(uv.zw, f.x);\\n  worldCoordinate = objectOffset + localCoordinate;\\n  vec4 worldPosition = model * vec4(worldCoordinate, 1.0);\\n  vec4 clipPosition = projection * view * worldPosition;\\n  gl_Position = clipPosition;\\n  kill = f.y;\\n  value = f.z;\\n  planeCoordinate = uv.xy;\\n\\n  vColor = texture2D(colormap, vec2(value, value));\\n\\n  //Lighting geometry parameters\\n  vec4 cameraCoordinate = view * worldPosition;\\n  cameraCoordinate.xyz /= cameraCoordinate.w;\\n  lightDirection = lightPosition - cameraCoordinate.xyz;\\n  eyeDirection   = eyePosition - cameraCoordinate.xyz;\\n  surfaceNormal  = normalize((vec4(normal,0) * inverseModel).xyz);\\n}\\n\"]),o=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nfloat beckmannDistribution(float x, float roughness) {\\n  float NdotH = max(x, 0.0001);\\n  float cos2Alpha = NdotH * NdotH;\\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\\n  float roughness2 = roughness * roughness;\\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\\n  return exp(tan2Alpha / roughness2) / denom;\\n}\\n\\nfloat beckmannSpecular(\\n  vec3 lightDirection,\\n  vec3 viewDirection,\\n  vec3 surfaceNormal,\\n  float roughness) {\\n  return beckmannDistribution(dot(surfaceNormal, normalize(lightDirection + viewDirection)), roughness);\\n}\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 lowerBound, upperBound;\\nuniform float contourTint;\\nuniform vec4 contourColor;\\nuniform sampler2D colormap;\\nuniform vec3 clipBounds[2];\\nuniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\\nuniform float vertexColor;\\n\\nvarying float value, kill;\\nvarying vec3 worldCoordinate;\\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\\nvarying vec4 vColor;\\n\\nvoid main() {\\n  if (\\n    kill > 0.0 ||\\n    vColor.a == 0.0 ||\\n    outOfRange(clipBounds[0], clipBounds[1], worldCoordinate)\\n  ) discard;\\n\\n  vec3 N = normalize(surfaceNormal);\\n  vec3 V = normalize(eyeDirection);\\n  vec3 L = normalize(lightDirection);\\n\\n  if(gl_FrontFacing) {\\n    N = -N;\\n  }\\n\\n  float specular = max(beckmannSpecular(L, V, N, roughness), 0.);\\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\\n\\n  //decide how to interpolate color — in vertex or in fragment\\n  vec4 surfaceColor =\\n    step(vertexColor, .5) * texture2D(colormap, vec2(value, value)) +\\n    step(.5, vertexColor) * vColor;\\n\\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\\n\\n  gl_FragColor = mix(litColor, contourColor, contourTint) * opacity;\\n}\\n\"]),s=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec4 uv;\\nattribute float f;\\n\\nuniform vec3 objectOffset;\\nuniform mat3 permutation;\\nuniform mat4 model, view, projection;\\nuniform float height, zOffset;\\nuniform sampler2D colormap;\\n\\nvarying float value, kill;\\nvarying vec3 worldCoordinate;\\nvarying vec2 planeCoordinate;\\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\\nvarying vec4 vColor;\\n\\nvoid main() {\\n  vec3 dataCoordinate = permutation * vec3(uv.xy, height);\\n  worldCoordinate = objectOffset + dataCoordinate;\\n  vec4 worldPosition = model * vec4(worldCoordinate, 1.0);\\n\\n  vec4 clipPosition = projection * view * worldPosition;\\n  clipPosition.z += zOffset;\\n\\n  gl_Position = clipPosition;\\n  value = f + objectOffset.z;\\n  kill = -1.0;\\n  planeCoordinate = uv.zw;\\n\\n  vColor = texture2D(colormap, vec2(value, value));\\n\\n  //Don't do lighting for contours\\n  surfaceNormal   = vec3(1,0,0);\\n  eyeDirection    = vec3(0,1,0);\\n  lightDirection  = vec3(0,0,1);\\n}\\n\"]),l=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec2 shape;\\nuniform vec3 clipBounds[2];\\nuniform float pickId;\\n\\nvarying float value, kill;\\nvarying vec3 worldCoordinate;\\nvarying vec2 planeCoordinate;\\nvarying vec3 surfaceNormal;\\n\\nvec2 splitFloat(float v) {\\n  float vh = 255.0 * v;\\n  float upper = floor(vh);\\n  float lower = fract(vh);\\n  return vec2(upper / 255.0, floor(lower * 16.0) / 16.0);\\n}\\n\\nvoid main() {\\n  if ((kill > 0.0) ||\\n      (outOfRange(clipBounds[0], clipBounds[1], worldCoordinate))) discard;\\n\\n  vec2 ux = splitFloat(planeCoordinate.x / shape.x);\\n  vec2 uy = splitFloat(planeCoordinate.y / shape.y);\\n  gl_FragColor = vec4(pickId, ux.x, uy.x, ux.y + (uy.y/16.0));\\n}\\n\"]);e.createShader=function(t){var e=n(t,a,o,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e.attributes.normal.location=2,e},e.createPickShader=function(t){var e=n(t,a,l,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e.attributes.normal.location=2,e},e.createContourShader=function(t){var e=n(t,s,o,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"float\"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e},e.createPickContourShader=function(t){var e=n(t,s,l,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"float\"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e}},3754:function(t,e,r){\"use strict\";t.exports=function(t){var e=t.gl,r=m(e),n=b(e),s=x(e),l=_(e),u=i(e),c=a(e,[{buffer:u,size:4,stride:w,offset:0},{buffer:u,size:3,stride:w,offset:16},{buffer:u,size:3,stride:w,offset:28}]),f=i(e),h=a(e,[{buffer:f,size:4,stride:20,offset:0},{buffer:f,size:1,stride:20,offset:16}]),p=i(e),d=a(e,[{buffer:p,size:2,type:e.FLOAT}]),v=o(e,1,S,e.RGBA,e.UNSIGNED_BYTE);v.minFilter=e.LINEAR,v.magFilter=e.LINEAR;var g=new E(e,[0,0],[[0,0,0],[0,0,0]],r,n,u,c,v,s,l,f,h,p,d,[0,0,0]),y={levels:[[],[],[]]};for(var T in t)y[T]=t[T];return y.colormap=y.colormap||\"jet\",g.update(y),g};var n=r(2288),i=r(5827),a=r(2944),o=r(8931),s=r(5306),l=r(9156),u=r(7498),c=r(7382),f=r(5050),h=r(4162),p=r(104),d=r(7437),v=r(5070),g=r(9144),y=r(9054),m=y.createShader,x=y.createContourShader,b=y.createPickShader,_=y.createPickContourShader,w=40,T=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1],k=[[0,0],[0,1],[1,0],[1,1],[1,0],[0,1]],A=[[0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0]];function M(t,e,r,n,i){this.position=t,this.index=e,this.uv=r,this.level=n,this.dataCoordinate=i}!function(){for(var t=0;t<3;++t){var e=A[t],r=(t+2)%3;e[(t+1)%3+0]=1,e[r+3]=1,e[t+6]=1}}();var S=256;function E(t,e,r,n,i,a,o,l,u,c,h,p,d,v,g){this.gl=t,this.shape=e,this.bounds=r,this.objectOffset=g,this.intensityBounds=[],this._shader=n,this._pickShader=i,this._coordinateBuffer=a,this._vao=o,this._colorMap=l,this._contourShader=u,this._contourPickShader=c,this._contourBuffer=h,this._contourVAO=p,this._contourOffsets=[[],[],[]],this._contourCounts=[[],[],[]],this._vertexCount=0,this._pickResult=new M([0,0,0],[0,0],[0,0],[0,0,0],[0,0,0]),this._dynamicBuffer=d,this._dynamicVAO=v,this._dynamicOffsets=[0,0,0],this._dynamicCounts=[0,0,0],this.contourWidth=[1,1,1],this.contourLevels=[[1],[1],[1]],this.contourTint=[0,0,0],this.contourColor=[[.5,.5,.5,1],[.5,.5,.5,1],[.5,.5,.5,1]],this.showContour=!0,this.showSurface=!0,this.enableHighlight=[!0,!0,!0],this.highlightColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.highlightTint=[1,1,1],this.highlightLevel=[-1,-1,-1],this.enableDynamic=[!0,!0,!0],this.dynamicLevel=[NaN,NaN,NaN],this.dynamicColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.dynamicTint=[1,1,1],this.dynamicWidth=[1,1,1],this.axesBounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.surfaceProject=[!1,!1,!1],this.contourProject=[[!1,!1,!1],[!1,!1,!1],[!1,!1,!1]],this.colorBounds=[!1,!1],this._field=[f(s.mallocFloat(1024),[0,0]),f(s.mallocFloat(1024),[0,0]),f(s.mallocFloat(1024),[0,0])],this.pickId=1,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.snapToData=!1,this.pixelRatio=1,this.opacity=1,this.lightPosition=[10,1e4,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.vertexColor=0,this.dirty=!0}var L=E.prototype;L.genColormap=function(t,e){var r=!1,n=c([l({colormap:t,nshades:S,format:\"rgba\"}).map((function(t,n){var i=e?function(t,e){if(!e)return 1;if(!e.length)return 1;for(var r=0;r<e.length;++r){if(e.length<2)return 1;if(e[r][0]===t)return e[r][1];if(e[r][0]>t&&r>0){var n=(e[r][0]-t)/(e[r][0]-e[r-1][0]);return e[r][1]*(1-n)+n*e[r-1][1]}}return 1}(n/255,e):t[3];return i<1&&(r=!0),[t[0],t[1],t[2],255*i]}))]);return u.divseq(n,255),this.hasAlphaScale=r,n},L.isTransparent=function(){return this.opacity<1||this.hasAlphaScale},L.isOpaque=function(){return!this.isTransparent()},L.pickSlots=1,L.setPickBase=function(t){this.pickId=t};var C=[0,0,0],P={showSurface:!1,showContour:!1,projections:[T.slice(),T.slice(),T.slice()],clipBounds:[[[0,0,0],[0,0,0]],[[0,0,0],[0,0,0]],[[0,0,0],[0,0,0]]]};function O(t,e){var r,n,i,a=e.axes&&e.axes.lastCubeProps.axis||C,o=e.showSurface,s=e.showContour;for(r=0;r<3;++r)for(o=o||e.surfaceProject[r],n=0;n<3;++n)s=s||e.contourProject[r][n];for(r=0;r<3;++r){var l=P.projections[r];for(n=0;n<16;++n)l[n]=0;for(n=0;n<4;++n)l[5*n]=1;l[5*r]=0,l[12+r]=e.axesBounds[+(a[r]>0)][r],p(l,t.model,l);var u=P.clipBounds[r];for(i=0;i<2;++i)for(n=0;n<3;++n)u[i][n]=t.clipBounds[i][n];u[0][r]=-1e8,u[1][r]=1e8}return P.showSurface=o,P.showContour=s,P}var I={model:T,view:T,projection:T,inverseModel:T.slice(),lowerBound:[0,0,0],upperBound:[0,0,0],colorMap:0,clipBounds:[[0,0,0],[0,0,0]],height:0,contourTint:0,contourColor:[0,0,0,1],permutation:[1,0,0,0,1,0,0,0,1],zOffset:-1e-4,objectOffset:[0,0,0],kambient:1,kdiffuse:1,kspecular:1,lightPosition:[1e3,1e3,1e3],eyePosition:[0,0,0],roughness:1,fresnel:1,opacity:1,vertexColor:0},D=T.slice(),z=[1,0,0,0,1,0,0,0,1];function R(t,e){t=t||{};var r=this.gl;r.disable(r.CULL_FACE),this._colorMap.bind(0);var n=I;n.model=t.model||T,n.view=t.view||T,n.projection=t.projection||T,n.lowerBound=[this.bounds[0][0],this.bounds[0][1],this.colorBounds[0]||this.bounds[0][2]],n.upperBound=[this.bounds[1][0],this.bounds[1][1],this.colorBounds[1]||this.bounds[1][2]],n.objectOffset=this.objectOffset,n.contourColor=this.contourColor[0],n.inverseModel=d(n.inverseModel,n.model);for(var i=0;i<2;++i)for(var a=n.clipBounds[i],o=0;o<3;++o)a[o]=Math.min(Math.max(this.clipBounds[i][o],-1e8),1e8);n.kambient=this.ambientLight,n.kdiffuse=this.diffuseLight,n.kspecular=this.specularLight,n.roughness=this.roughness,n.fresnel=this.fresnel,n.opacity=this.opacity,n.height=0,n.permutation=z,n.vertexColor=this.vertexColor;var s=D;for(p(s,n.view,n.model),p(s,n.projection,s),d(s,s),i=0;i<3;++i)n.eyePosition[i]=s[12+i]/s[15];var l=s[15];for(i=0;i<3;++i)l+=this.lightPosition[i]*s[4*i+3];for(i=0;i<3;++i){var u=s[12+i];for(o=0;o<3;++o)u+=s[4*o+i]*this.lightPosition[o];n.lightPosition[i]=u/l}var c=O(n,this);if(c.showSurface){for(this._shader.bind(),this._shader.uniforms=n,this._vao.bind(),this.showSurface&&this._vertexCount&&this._vao.draw(r.TRIANGLES,this._vertexCount),i=0;i<3;++i)this.surfaceProject[i]&&this.vertexCount&&(this._shader.uniforms.model=c.projections[i],this._shader.uniforms.clipBounds=c.clipBounds[i],this._vao.draw(r.TRIANGLES,this._vertexCount));this._vao.unbind()}if(c.showContour){var f=this._contourShader;n.kambient=1,n.kdiffuse=0,n.kspecular=0,n.opacity=1,f.bind(),f.uniforms=n;var h=this._contourVAO;for(h.bind(),i=0;i<3;++i)for(f.uniforms.permutation=A[i],r.lineWidth(this.contourWidth[i]*this.pixelRatio),o=0;o<this.contourLevels[i].length;++o)o===this.highlightLevel[i]?(f.uniforms.contourColor=this.highlightColor[i],f.uniforms.contourTint=this.highlightTint[i]):0!==o&&o-1!==this.highlightLevel[i]||(f.uniforms.contourColor=this.contourColor[i],f.uniforms.contourTint=this.contourTint[i]),this._contourCounts[i][o]&&(f.uniforms.height=this.contourLevels[i][o],h.draw(r.LINES,this._contourCounts[i][o],this._contourOffsets[i][o]));for(i=0;i<3;++i)for(f.uniforms.model=c.projections[i],f.uniforms.clipBounds=c.clipBounds[i],o=0;o<3;++o)if(this.contourProject[i][o]){f.uniforms.permutation=A[o],r.lineWidth(this.contourWidth[o]*this.pixelRatio);for(var v=0;v<this.contourLevels[o].length;++v)v===this.highlightLevel[o]?(f.uniforms.contourColor=this.highlightColor[o],f.uniforms.contourTint=this.highlightTint[o]):0!==v&&v-1!==this.highlightLevel[o]||(f.uniforms.contourColor=this.contourColor[o],f.uniforms.contourTint=this.contourTint[o]),this._contourCounts[o][v]&&(f.uniforms.height=this.contourLevels[o][v],h.draw(r.LINES,this._contourCounts[o][v],this._contourOffsets[o][v]))}for(h.unbind(),(h=this._dynamicVAO).bind(),i=0;i<3;++i)if(0!==this._dynamicCounts[i])for(f.uniforms.model=n.model,f.uniforms.clipBounds=n.clipBounds,f.uniforms.permutation=A[i],r.lineWidth(this.dynamicWidth[i]*this.pixelRatio),f.uniforms.contourColor=this.dynamicColor[i],f.uniforms.contourTint=this.dynamicTint[i],f.uniforms.height=this.dynamicLevel[i],h.draw(r.LINES,this._dynamicCounts[i],this._dynamicOffsets[i]),o=0;o<3;++o)this.contourProject[o][i]&&(f.uniforms.model=c.projections[o],f.uniforms.clipBounds=c.clipBounds[o],h.draw(r.LINES,this._dynamicCounts[i],this._dynamicOffsets[i]));h.unbind()}}L.draw=function(t){return R.call(this,t,!1)},L.drawTransparent=function(t){return R.call(this,t,!0)};var F={model:T,view:T,projection:T,inverseModel:T,clipBounds:[[0,0,0],[0,0,0]],height:0,shape:[0,0],pickId:0,lowerBound:[0,0,0],upperBound:[0,0,0],zOffset:0,objectOffset:[0,0,0],permutation:[1,0,0,0,1,0,0,0,1],lightPosition:[0,0,0],eyePosition:[0,0,0]};function B(t,e){return Array.isArray(t)?[e(t[0]),e(t[1]),e(t[2])]:[e(t),e(t),e(t)]}function N(t){return Array.isArray(t)?3===t.length?[t[0],t[1],t[2],1]:[t[0],t[1],t[2],t[3]]:[0,0,0,1]}function j(t){if(Array.isArray(t)){if(Array.isArray(t))return[N(t[0]),N(t[1]),N(t[2])];var e=N(t);return[e.slice(),e.slice(),e.slice()]}}L.drawPick=function(t){t=t||{};var e=this.gl;e.disable(e.CULL_FACE);var r=F;r.model=t.model||T,r.view=t.view||T,r.projection=t.projection||T,r.shape=this._field[2].shape,r.pickId=this.pickId/255,r.lowerBound=this.bounds[0],r.upperBound=this.bounds[1],r.objectOffset=this.objectOffset,r.permutation=z;for(var n=0;n<2;++n)for(var i=r.clipBounds[n],a=0;a<3;++a)i[a]=Math.min(Math.max(this.clipBounds[n][a],-1e8),1e8);var o=O(r,this);if(o.showSurface){for(this._pickShader.bind(),this._pickShader.uniforms=r,this._vao.bind(),this._vao.draw(e.TRIANGLES,this._vertexCount),n=0;n<3;++n)this.surfaceProject[n]&&(this._pickShader.uniforms.model=o.projections[n],this._pickShader.uniforms.clipBounds=o.clipBounds[n],this._vao.draw(e.TRIANGLES,this._vertexCount));this._vao.unbind()}if(o.showContour){var s=this._contourPickShader;s.bind(),s.uniforms=r;var l=this._contourVAO;for(l.bind(),a=0;a<3;++a)for(e.lineWidth(this.contourWidth[a]*this.pixelRatio),s.uniforms.permutation=A[a],n=0;n<this.contourLevels[a].length;++n)this._contourCounts[a][n]&&(s.uniforms.height=this.contourLevels[a][n],l.draw(e.LINES,this._contourCounts[a][n],this._contourOffsets[a][n]));for(n=0;n<3;++n)for(s.uniforms.model=o.projections[n],s.uniforms.clipBounds=o.clipBounds[n],a=0;a<3;++a)if(this.contourProject[n][a]){s.uniforms.permutation=A[a],e.lineWidth(this.contourWidth[a]*this.pixelRatio);for(var u=0;u<this.contourLevels[a].length;++u)this._contourCounts[a][u]&&(s.uniforms.height=this.contourLevels[a][u],l.draw(e.LINES,this._contourCounts[a][u],this._contourOffsets[a][u]))}l.unbind()}},L.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=this._field[2].shape,r=this._pickResult,n=e[0]*(t.value[0]+(t.value[2]>>4)/16)/255,i=Math.floor(n),a=n-i,o=e[1]*(t.value[1]+(15&t.value[2])/16)/255,s=Math.floor(o),l=o-s;i+=1,s+=1;var u=r.position;u[0]=u[1]=u[2]=0;for(var c=0;c<2;++c)for(var f=c?a:1-a,h=0;h<2;++h)for(var p=i+c,d=s+h,g=f*(h?l:1-l),y=0;y<3;++y)u[y]+=this._field[y].get(p,d)*g;for(var m=this._pickResult.level,x=0;x<3;++x)if(m[x]=v.le(this.contourLevels[x],u[x]),m[x]<0)this.contourLevels[x].length>0&&(m[x]=0);else if(m[x]<this.contourLevels[x].length-1){var b=this.contourLevels[x][m[x]],_=this.contourLevels[x][m[x]+1];Math.abs(b-u[x])>Math.abs(_-u[x])&&(m[x]+=1)}for(r.index[0]=a<.5?i:i+1,r.index[1]=l<.5?s:s+1,r.uv[0]=n/e[0],r.uv[1]=o/e[1],y=0;y<3;++y)r.dataCoordinate[y]=this._field[y].get(r.index[0],r.index[1]);return r},L.padField=function(t,e){var r=e.shape.slice(),n=t.shape.slice();u.assign(t.lo(1,1).hi(r[0],r[1]),e),u.assign(t.lo(1).hi(r[0],1),e.hi(r[0],1)),u.assign(t.lo(1,n[1]-1).hi(r[0],1),e.lo(0,r[1]-1).hi(r[0],1)),u.assign(t.lo(0,1).hi(1,r[1]),e.hi(1)),u.assign(t.lo(n[0]-1,1).hi(1,r[1]),e.lo(r[0]-1)),t.set(0,0,e.get(0,0)),t.set(0,n[1]-1,e.get(0,r[1]-1)),t.set(n[0]-1,0,e.get(r[0]-1,0)),t.set(n[0]-1,n[1]-1,e.get(r[0]-1,r[1]-1))},L.update=function(t){t=t||{},this.objectOffset=t.objectOffset||this.objectOffset,this.dirty=!0,\"contourWidth\"in t&&(this.contourWidth=B(t.contourWidth,Number)),\"showContour\"in t&&(this.showContour=B(t.showContour,Boolean)),\"showSurface\"in t&&(this.showSurface=!!t.showSurface),\"contourTint\"in t&&(this.contourTint=B(t.contourTint,Boolean)),\"contourColor\"in t&&(this.contourColor=j(t.contourColor)),\"contourProject\"in t&&(this.contourProject=B(t.contourProject,(function(t){return B(t,Boolean)}))),\"surfaceProject\"in t&&(this.surfaceProject=t.surfaceProject),\"dynamicColor\"in t&&(this.dynamicColor=j(t.dynamicColor)),\"dynamicTint\"in t&&(this.dynamicTint=B(t.dynamicTint,Number)),\"dynamicWidth\"in t&&(this.dynamicWidth=B(t.dynamicWidth,Number)),\"opacity\"in t&&(this.opacity=t.opacity),\"opacityscale\"in t&&(this.opacityscale=t.opacityscale),\"colorBounds\"in t&&(this.colorBounds=t.colorBounds),\"vertexColor\"in t&&(this.vertexColor=t.vertexColor?1:0),\"colormap\"in t&&this._colorMap.setPixels(this.genColormap(t.colormap,this.opacityscale));var e=t.field||t.coords&&t.coords[2]||null,r=!1;if(e||(e=this._field[2].shape[0]||this._field[2].shape[2]?this._field[2].lo(1,1).hi(this._field[2].shape[0]-2,this._field[2].shape[1]-2):this._field[2].hi(0,0)),\"field\"in t||\"coords\"in t){var i=(e.shape[0]+2)*(e.shape[1]+2);i>this._field[2].data.length&&(s.freeFloat(this._field[2].data),this._field[2].data=s.mallocFloat(n.nextPow2(i))),this._field[2]=f(this._field[2].data,[e.shape[0]+2,e.shape[1]+2]),this.padField(this._field[2],e),this.shape=e.shape.slice();for(var a=this.shape,o=0;o<2;++o)this._field[2].size>this._field[o].data.length&&(s.freeFloat(this._field[o].data),this._field[o].data=s.mallocFloat(this._field[2].size)),this._field[o]=f(this._field[o].data,[a[0]+2,a[1]+2]);if(t.coords){var l=t.coords;if(!Array.isArray(l)||3!==l.length)throw new Error(\"gl-surface: invalid coordinates for x/y\");for(o=0;o<2;++o){var u=l[o];for(y=0;y<2;++y)if(u.shape[y]!==a[y])throw new Error(\"gl-surface: coords have incorrect shape\");this.padField(this._field[o],u)}}else if(t.ticks){var c=t.ticks;if(!Array.isArray(c)||2!==c.length)throw new Error(\"gl-surface: invalid ticks\");for(o=0;o<2;++o){var p=c[o];if((Array.isArray(p)||p.length)&&(p=f(p)),p.shape[0]!==a[o])throw new Error(\"gl-surface: invalid tick length\");var d=f(p.data,a);d.stride[o]=p.stride[0],d.stride[1^o]=0,this.padField(this._field[o],d)}}else{for(o=0;o<2;++o){var v=[0,0];v[o]=1,this._field[o]=f(this._field[o].data,[a[0]+2,a[1]+2],v,0)}this._field[0].set(0,0,0);for(var y=0;y<a[0];++y)this._field[0].set(y+1,0,y);for(this._field[0].set(a[0]+1,0,a[0]-1),this._field[1].set(0,0,0),y=0;y<a[1];++y)this._field[1].set(0,y+1,y);this._field[1].set(0,a[1]+1,a[1]-1)}var m=this._field,x=f(s.mallocFloat(3*m[2].size*2),[3,a[0]+2,a[1]+2,2]);for(o=0;o<3;++o)g(x.pick(o),m[o],\"mirror\");var b=f(s.mallocFloat(3*m[2].size),[a[0]+2,a[1]+2,3]);for(o=0;o<a[0]+2;++o)for(y=0;y<a[1]+2;++y){var _=x.get(0,o,y,0),w=x.get(0,o,y,1),T=x.get(1,o,y,0),A=x.get(1,o,y,1),M=x.get(2,o,y,0),S=x.get(2,o,y,1),E=T*S-A*M,L=M*w-S*_,C=_*A-w*T,P=Math.sqrt(E*E+L*L+C*C);P<1e-8?(P=Math.max(Math.abs(E),Math.abs(L),Math.abs(C)))<1e-8?(C=1,L=E=0,P=1):P=1/P:P=1/Math.sqrt(P),b.set(o,y,0,E*P),b.set(o,y,1,L*P),b.set(o,y,2,C*P)}s.free(x.data);var O=[1/0,1/0,1/0],I=[-1/0,-1/0,-1/0],D=1/0,z=-1/0,R=(a[0]-1)*(a[1]-1)*6,F=s.mallocFloat(n.nextPow2(10*R)),N=0,U=0;for(o=0;o<a[0]-1;++o)t:for(y=0;y<a[1]-1;++y){for(var V=0;V<2;++V)for(var H=0;H<2;++H)for(var q=0;q<3;++q){var G=this._field[q].get(1+o+V,1+y+H);if(isNaN(G)||!isFinite(G))continue t}for(q=0;q<6;++q){var Z=o+k[q][0],Y=y+k[q][1],W=this._field[0].get(Z+1,Y+1),X=this._field[1].get(Z+1,Y+1);G=this._field[2].get(Z+1,Y+1),E=b.get(Z+1,Y+1,0),L=b.get(Z+1,Y+1,1),C=b.get(Z+1,Y+1,2),t.intensity&&(J=t.intensity.get(Z,Y));var J=t.intensity?t.intensity.get(Z,Y):G+this.objectOffset[2];F[N++]=Z,F[N++]=Y,F[N++]=W,F[N++]=X,F[N++]=G,F[N++]=0,F[N++]=J,F[N++]=E,F[N++]=L,F[N++]=C,O[0]=Math.min(O[0],W+this.objectOffset[0]),O[1]=Math.min(O[1],X+this.objectOffset[1]),O[2]=Math.min(O[2],G+this.objectOffset[2]),D=Math.min(D,J),I[0]=Math.max(I[0],W+this.objectOffset[0]),I[1]=Math.max(I[1],X+this.objectOffset[1]),I[2]=Math.max(I[2],G+this.objectOffset[2]),z=Math.max(z,J),U+=1}}for(t.intensityBounds&&(D=+t.intensityBounds[0],z=+t.intensityBounds[1]),o=6;o<N;o+=10)F[o]=(F[o]-D)/(z-D);this._vertexCount=U,this._coordinateBuffer.update(F.subarray(0,N)),s.freeFloat(F),s.free(b.data),this.bounds=[O,I],this.intensity=t.intensity||this._field[2],this.intensityBounds[0]===D&&this.intensityBounds[1]===z||(r=!0),this.intensityBounds=[D,z]}if(\"levels\"in t){var K=t.levels;for(K=Array.isArray(K[0])?K.slice():[[],[],K],o=0;o<3;++o)K[o]=K[o].slice(),K[o].sort((function(t,e){return t-e}));for(o=0;o<3;++o)for(y=0;y<K[o].length;++y)K[o][y]-=this.objectOffset[o];t:for(o=0;o<3;++o){if(K[o].length!==this.contourLevels[o].length){r=!0;break}for(y=0;y<K[o].length;++y)if(K[o][y]!==this.contourLevels[o][y]){r=!0;break t}}this.contourLevels=K}if(r){m=this._field,a=this.shape;for(var $=[],Q=0;Q<3;++Q){var tt=this.contourLevels[Q],et=[],rt=[],nt=[0,0,0];for(o=0;o<tt.length;++o){var it=h(this._field[Q],tt[o]);et.push($.length/5|0),U=0;t:for(y=0;y<it.cells.length;++y){var at=it.cells[y];for(q=0;q<2;++q){var ot=it.positions[at[q]],st=ot[0],lt=0|Math.floor(st),ut=st-lt,ct=ot[1],ft=0|Math.floor(ct),ht=ct-ft,pt=!1;e:for(var dt=0;dt<3;++dt){nt[dt]=0;var vt=(Q+dt+1)%3;for(V=0;V<2;++V){var gt=V?ut:1-ut;for(Z=0|Math.min(Math.max(lt+V,0),a[0]),H=0;H<2;++H){var yt=H?ht:1-ht;if(Y=0|Math.min(Math.max(ft+H,0),a[1]),G=dt<2?this._field[vt].get(Z,Y):(this.intensity.get(Z,Y)-this.intensityBounds[0])/(this.intensityBounds[1]-this.intensityBounds[0]),!isFinite(G)||isNaN(G)){pt=!0;break e}var mt=gt*yt;nt[dt]+=mt*G}}}if(pt){if(q>0){for(var xt=0;xt<5;++xt)$.pop();U-=1}continue t}$.push(nt[0],nt[1],ot[0],ot[1],nt[2]),U+=1}}rt.push(U)}this._contourOffsets[Q]=et,this._contourCounts[Q]=rt}var bt=s.mallocFloat($.length);for(o=0;o<$.length;++o)bt[o]=$[o];this._contourBuffer.update(bt),s.freeFloat(bt)}},L.dispose=function(){this._shader.dispose(),this._vao.dispose(),this._coordinateBuffer.dispose(),this._colorMap.dispose(),this._contourBuffer.dispose(),this._contourVAO.dispose(),this._contourShader.dispose(),this._contourPickShader.dispose(),this._dynamicBuffer.dispose(),this._dynamicVAO.dispose();for(var t=0;t<3;++t)s.freeFloat(this._field[t].data)},L.highlight=function(t){var e,r;if(!t)return this._dynamicCounts=[0,0,0],this.dyanamicLevel=[NaN,NaN,NaN],void(this.highlightLevel=[-1,-1,-1]);for(e=0;e<3;++e)this.enableHighlight[e]?this.highlightLevel[e]=t.level[e]:this.highlightLevel[e]=-1;for(r=this.snapToData?t.dataCoordinate:t.position,e=0;e<3;++e)r[e]-=this.objectOffset[e];if(this.enableDynamic[0]&&r[0]!==this.dynamicLevel[0]||this.enableDynamic[1]&&r[1]!==this.dynamicLevel[1]||this.enableDynamic[2]&&r[2]!==this.dynamicLevel[2]){for(var n=0,i=this.shape,a=s.mallocFloat(12*i[0]*i[1]),o=0;o<3;++o)if(this.enableDynamic[o]){this.dynamicLevel[o]=r[o];var l=(o+1)%3,u=(o+2)%3,c=this._field[o],f=this._field[l],p=this._field[u],d=h(c,r[o]),v=d.cells,g=d.positions;for(this._dynamicOffsets[o]=n,e=0;e<v.length;++e)for(var y=v[e],m=0;m<2;++m){var x=g[y[m]],b=+x[0],_=0|b,w=0|Math.min(_+1,i[0]),T=b-_,k=1-T,A=+x[1],M=0|A,S=0|Math.min(M+1,i[1]),E=A-M,L=1-E,C=k*L,P=k*E,O=T*L,I=T*E,D=C*f.get(_,M)+P*f.get(_,S)+O*f.get(w,M)+I*f.get(w,S),z=C*p.get(_,M)+P*p.get(_,S)+O*p.get(w,M)+I*p.get(w,S);if(isNaN(D)||isNaN(z)){m&&(n-=1);break}a[2*n+0]=D,a[2*n+1]=z,n+=1}this._dynamicCounts[o]=n-this._dynamicOffsets[o]}else this.dynamicLevel[o]=NaN,this._dynamicCounts[o]=0;this._dynamicBuffer.update(a.subarray(0,2*n)),s.freeFloat(a)}}},8931:function(t,e,r){\"use strict\";var n=r(5050),i=r(7498),a=r(5306);t.exports=function(t){if(arguments.length<=1)throw new Error(\"gl-texture2d: Missing arguments for texture2d constructor\");if(o||function(t){o=[t.LINEAR,t.NEAREST_MIPMAP_LINEAR,t.LINEAR_MIPMAP_NEAREST,t.LINEAR_MIPMAP_NEAREST],s=[t.NEAREST,t.LINEAR,t.NEAREST_MIPMAP_NEAREST,t.NEAREST_MIPMAP_LINEAR,t.LINEAR_MIPMAP_NEAREST,t.LINEAR_MIPMAP_LINEAR],l=[t.REPEAT,t.CLAMP_TO_EDGE,t.MIRRORED_REPEAT]}(t),\"number\"==typeof arguments[1])return g(t,arguments[1],arguments[2],arguments[3]||t.RGBA,arguments[4]||t.UNSIGNED_BYTE);if(Array.isArray(arguments[1]))return g(t,0|arguments[1][0],0|arguments[1][1],arguments[2]||t.RGBA,arguments[3]||t.UNSIGNED_BYTE);if(\"object\"==typeof arguments[1]){var e=arguments[1],r=u(e)?e:e.raw;if(r)return function(t,e,r,n,i,a){var o=v(t);return t.texImage2D(t.TEXTURE_2D,0,i,i,a,e),new h(t,o,r,n,i,a)}(t,r,0|e.width,0|e.height,arguments[2]||t.RGBA,arguments[3]||t.UNSIGNED_BYTE);if(e.shape&&e.data&&e.stride)return function(t,e){var r=e.dtype,o=e.shape.slice(),s=t.getParameter(t.MAX_TEXTURE_SIZE);if(o[0]<0||o[0]>s||o[1]<0||o[1]>s)throw new Error(\"gl-texture2d: Invalid texture size\");var l=d(o,e.stride.slice()),u=0;\"float32\"===r?u=t.FLOAT:\"float64\"===r?(u=t.FLOAT,l=!1,r=\"float32\"):\"uint8\"===r?u=t.UNSIGNED_BYTE:(u=t.UNSIGNED_BYTE,l=!1,r=\"uint8\");var f,p,g=0;if(2===o.length)g=t.LUMINANCE,o=[o[0],o[1],1],e=n(e.data,o,[e.stride[0],e.stride[1],1],e.offset);else{if(3!==o.length)throw new Error(\"gl-texture2d: Invalid shape for texture\");if(1===o[2])g=t.ALPHA;else if(2===o[2])g=t.LUMINANCE_ALPHA;else if(3===o[2])g=t.RGB;else{if(4!==o[2])throw new Error(\"gl-texture2d: Invalid shape for pixel coords\");g=t.RGBA}}u!==t.FLOAT||t.getExtension(\"OES_texture_float\")||(u=t.UNSIGNED_BYTE,l=!1);var y=e.size;if(l)f=0===e.offset&&e.data.length===y?e.data:e.data.subarray(e.offset,e.offset+y);else{var m=[o[2],o[2]*o[0],1];p=a.malloc(y,r);var x=n(p,o,m,0);\"float32\"!==r&&\"float64\"!==r||u!==t.UNSIGNED_BYTE?i.assign(x,e):c(x,e),f=p.subarray(0,y)}var b=v(t);return t.texImage2D(t.TEXTURE_2D,0,g,o[0],o[1],0,g,u,f),l||a.free(p),new h(t,b,o[0],o[1],g,u)}(t,e)}throw new Error(\"gl-texture2d: Invalid arguments for texture2d constructor\")};var o=null,s=null,l=null;function u(t){return\"undefined\"!=typeof HTMLCanvasElement&&t instanceof HTMLCanvasElement||\"undefined\"!=typeof HTMLImageElement&&t instanceof HTMLImageElement||\"undefined\"!=typeof HTMLVideoElement&&t instanceof HTMLVideoElement||\"undefined\"!=typeof ImageData&&t instanceof ImageData}var c=function(t,e){i.muls(t,e,255)};function f(t,e,r){var n=t.gl,i=n.getParameter(n.MAX_TEXTURE_SIZE);if(e<0||e>i||r<0||r>i)throw new Error(\"gl-texture2d: Invalid texture size\");return t._shape=[e,r],t.bind(),n.texImage2D(n.TEXTURE_2D,0,t.format,e,r,0,t.format,t.type,null),t._mipLevels=[0],t}function h(t,e,r,n,i,a){this.gl=t,this.handle=e,this.format=i,this.type=a,this._shape=[r,n],this._mipLevels=[0],this._magFilter=t.NEAREST,this._minFilter=t.NEAREST,this._wrapS=t.CLAMP_TO_EDGE,this._wrapT=t.CLAMP_TO_EDGE,this._anisoSamples=1;var o=this,s=[this._wrapS,this._wrapT];Object.defineProperties(s,[{get:function(){return o._wrapS},set:function(t){return o.wrapS=t}},{get:function(){return o._wrapT},set:function(t){return o.wrapT=t}}]),this._wrapVector=s;var l=[this._shape[0],this._shape[1]];Object.defineProperties(l,[{get:function(){return o._shape[0]},set:function(t){return o.width=t}},{get:function(){return o._shape[1]},set:function(t){return o.height=t}}]),this._shapeVector=l}var p=h.prototype;function d(t,e){return 3===t.length?1===e[2]&&e[1]===t[0]*t[2]&&e[0]===t[2]:1===e[0]&&e[1]===t[0]}function v(t){var e=t.createTexture();return t.bindTexture(t.TEXTURE_2D,e),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MIN_FILTER,t.NEAREST),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MAG_FILTER,t.NEAREST),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_WRAP_S,t.CLAMP_TO_EDGE),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_WRAP_T,t.CLAMP_TO_EDGE),e}function g(t,e,r,n,i){var a=t.getParameter(t.MAX_TEXTURE_SIZE);if(e<0||e>a||r<0||r>a)throw new Error(\"gl-texture2d: Invalid texture shape\");if(i===t.FLOAT&&!t.getExtension(\"OES_texture_float\"))throw new Error(\"gl-texture2d: Floating point textures not supported on this platform\");var o=v(t);return t.texImage2D(t.TEXTURE_2D,0,n,e,r,0,n,i,null),new h(t,o,e,r,n,i)}Object.defineProperties(p,{minFilter:{get:function(){return this._minFilter},set:function(t){this.bind();var 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n=Math.sin(r),i=Math.cos(r),a=e[0],o=e[1],s=e[2],l=e[3],u=e[8],c=e[9],f=e[10],h=e[11];return e!==t&&(t[4]=e[4],t[5]=e[5],t[6]=e[6],t[7]=e[7],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]),t[0]=a*i-u*n,t[1]=o*i-c*n,t[2]=s*i-f*n,t[3]=l*i-h*n,t[8]=a*n+u*i,t[9]=o*n+c*i,t[10]=s*n+f*i,t[11]=l*n+h*i,t}},15692:function(t){t.exports=function(t,e,r){var n=Math.sin(r),i=Math.cos(r),a=e[0],o=e[1],s=e[2],l=e[3],u=e[4],c=e[5],f=e[6],h=e[7];return e!==t&&(t[8]=e[8],t[9]=e[9],t[10]=e[10],t[11]=e[11],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]),t[0]=a*i+u*n,t[1]=o*i+c*n,t[2]=s*i+f*n,t[3]=l*i+h*n,t[4]=u*i-a*n,t[5]=c*i-o*n,t[6]=f*i-s*n,t[7]=h*i-l*n,t}},10789:function(t){t.exports=function(t,e,r){var n=r[0],i=r[1],a=r[2];return t[0]=e[0]*n,t[1]=e[1]*n,t[2]=e[2]*n,t[3]=e[3]*n,t[4]=e[4]*i,t[5]=e[5]*i,t[6]=e[6]*i,t[7]=e[7]*i,t[8]=e[8]*a,t[9]=e[9]*a,t[10]=e[10]*a,t[11]=e[11]*a,t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15],t}},6726:function(t){t.exports=function(t){return\"mat4(\"+t[0]+\", \"+t[1]+\", \"+t[2]+\", \"+t[3]+\", \"+t[4]+\", \"+t[5]+\", \"+t[6]+\", \"+t[7]+\", \"+t[8]+\", \"+t[9]+\", \"+t[10]+\", \"+t[11]+\", \"+t[12]+\", \"+t[13]+\", \"+t[14]+\", \"+t[15]+\")\"}},31283:function(t){t.exports=function(t,e,r){var n,i,a,o,s,l,u,c,f,h,p,d,v=r[0],g=r[1],y=r[2];return e===t?(t[12]=e[0]*v+e[4]*g+e[8]*y+e[12],t[13]=e[1]*v+e[5]*g+e[9]*y+e[13],t[14]=e[2]*v+e[6]*g+e[10]*y+e[14],t[15]=e[3]*v+e[7]*g+e[11]*y+e[15]):(n=e[0],i=e[1],a=e[2],o=e[3],s=e[4],l=e[5],u=e[6],c=e[7],f=e[8],h=e[9],p=e[10],d=e[11],t[0]=n,t[1]=i,t[2]=a,t[3]=o,t[4]=s,t[5]=l,t[6]=u,t[7]=c,t[8]=f,t[9]=h,t[10]=p,t[11]=d,t[12]=n*v+s*g+f*y+e[12],t[13]=i*v+l*g+h*y+e[13],t[14]=a*v+u*g+p*y+e[14],t[15]=o*v+c*g+d*y+e[15]),t}},88654:function(t){t.exports=function(t,e){if(t===e){var r=e[1],n=e[2],i=e[3],a=e[6],o=e[7],s=e[11];t[1]=e[4],t[2]=e[8],t[3]=e[12],t[4]=r,t[6]=e[9],t[7]=e[13],t[8]=n,t[9]=a,t[11]=e[14],t[12]=i,t[13]=o,t[14]=s}else t[0]=e[0],t[1]=e[4],t[2]=e[8],t[3]=e[12],t[4]=e[1],t[5]=e[5],t[6]=e[9],t[7]=e[13],t[8]=e[2],t[9]=e[6],t[10]=e[10],t[11]=e[14],t[12]=e[3],t[13]=e[7],t[14]=e[11],t[15]=e[15];return t}},42505:function(t,e,r){\"use strict\";var n=r(72791),i=r(71299),a=r(98580),o=r(12018),s=r(83522),l=r(25075),u=r(68016),c=r(58404),f=r(18863),h=r(10973),p=r(25677),d=r(75686),v=r(53545),g=r(56131),y=r(32879),m=r(30120),x=r(13547).nextPow2,b=new s,_=!1;if(document.body){var w=document.body.appendChild(document.createElement(\"div\"));w.style.font=\"italic small-caps bold condensed 16px/2 cursive\",getComputedStyle(w).fontStretch&&(_=!0),document.body.removeChild(w)}var T=function(t){!function(t){return\"function\"==typeof t&&t._gl&&t.prop&&t.texture&&t.buffer}(t)?this.gl=o(t):(t={regl:t},this.gl=t.regl._gl),this.shader=b.get(this.gl),this.shader?this.regl=this.shader.regl:this.regl=t.regl||a({gl:this.gl}),this.charBuffer=this.regl.buffer({type:\"uint8\",usage:\"stream\"}),this.sizeBuffer=this.regl.buffer({type:\"float\",usage:\"stream\"}),this.shader||(this.shader=this.createShader(),b.set(this.gl,this.shader)),this.batch=[],this.fontSize=[],this.font=[],this.fontAtlas=[],this.draw=this.shader.draw.bind(this),this.render=function(){this.regl._refresh(),this.draw(this.batch)},this.canvas=this.gl.canvas,this.update(h(t)?t:{})};T.prototype.createShader=function(){var t=this.regl,e=t({blend:{enable:!0,color:[0,0,0,1],func:{srcRGB:\"src alpha\",dstRGB:\"one minus src alpha\",srcAlpha:\"one minus dst 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float fontSize, charStep, em, align, baseline;\\n\\t\\t\\tuniform vec4 viewport;\\n\\t\\t\\tuniform vec4 color;\\n\\t\\t\\tuniform vec2 atlasSize, atlasDim, scale, translate, positionOffset;\\n\\t\\t\\tvarying vec2 charCoord, charId;\\n\\t\\t\\tvarying float charWidth;\\n\\t\\t\\tvarying vec4 fontColor;\\n\\t\\t\\tvoid main () {\\n\\t\\t\\t\\tvec2 offset = floor(em * (vec2(align + charOffset, baseline)\\n\\t\\t\\t\\t\\t+ vec2(positionOffset.x, -positionOffset.y)))\\n\\t\\t\\t\\t\\t/ (viewport.zw * scale.xy);\\n\\n\\t\\t\\t\\tvec2 position = (position + translate) * scale;\\n\\t\\t\\t\\tposition += offset * scale;\\n\\n\\t\\t\\t\\tcharCoord = position * viewport.zw + viewport.xy;\\n\\n\\t\\t\\t\\tgl_Position = vec4(position * 2. - 1., 0, 1);\\n\\n\\t\\t\\t\\tgl_PointSize = charStep;\\n\\n\\t\\t\\t\\tcharId.x = mod(char, atlasDim.x);\\n\\t\\t\\t\\tcharId.y = floor(char / atlasDim.x);\\n\\n\\t\\t\\t\\tcharWidth = width * em;\\n\\n\\t\\t\\t\\tfontColor = color / 255.;\\n\\t\\t\\t}\",frag:\"\\n\\t\\t\\tprecision highp float;\\n\\t\\t\\tuniform float fontSize, charStep, opacity;\\n\\t\\t\\tuniform vec2 atlasSize;\\n\\t\\t\\tuniform vec4 viewport;\\n\\t\\t\\tuniform sampler2D atlas;\\n\\t\\t\\tvarying vec4 fontColor;\\n\\t\\t\\tvarying vec2 charCoord, charId;\\n\\t\\t\\tvarying float charWidth;\\n\\n\\t\\t\\tfloat lightness(vec4 color) {\\n\\t\\t\\t\\treturn color.r * 0.299 + color.g * 0.587 + color.b * 0.114;\\n\\t\\t\\t}\\n\\n\\t\\t\\tvoid main () {\\n\\t\\t\\t\\tvec2 uv = gl_FragCoord.xy - charCoord + charStep * .5;\\n\\t\\t\\t\\tfloat halfCharStep = floor(charStep * .5 + .5);\\n\\n\\t\\t\\t\\t// invert y and shift by 1px (FF expecially needs that)\\n\\t\\t\\t\\tuv.y = charStep - uv.y;\\n\\n\\t\\t\\t\\t// ignore points outside of character bounding box\\n\\t\\t\\t\\tfloat halfCharWidth = ceil(charWidth * .5);\\n\\t\\t\\t\\tif (floor(uv.x) > halfCharStep + halfCharWidth ||\\n\\t\\t\\t\\t\\tfloor(uv.x) < halfCharStep - halfCharWidth) return;\\n\\n\\t\\t\\t\\tuv += charId * charStep;\\n\\t\\t\\t\\tuv = uv / atlasSize;\\n\\n\\t\\t\\t\\tvec4 color = fontColor;\\n\\t\\t\\t\\tvec4 mask = texture2D(atlas, uv);\\n\\n\\t\\t\\t\\tfloat maskY = lightness(mask);\\n\\t\\t\\t\\t// float colorY = lightness(color);\\n\\t\\t\\t\\tcolor.a *= maskY;\\n\\t\\t\\t\\tcolor.a *= opacity;\\n\\n\\t\\t\\t\\t// color.a += .1;\\n\\n\\t\\t\\t\\t// antialiasing, see yiq color space y-channel formula\\n\\t\\t\\t\\t// color.rgb += (1. - color.rgb) * (1. - mask.rgb);\\n\\n\\t\\t\\t\\tgl_FragColor = color;\\n\\t\\t\\t}\"});return{regl:t,draw:e,atlas:{}}},T.prototype.update=function(t){var e=this;if(\"string\"==typeof t)t={text:t};else if(!t)return;null!=(t=i(t,{position:\"position positions coord coords coordinates\",font:\"font fontFace fontface typeface cssFont css-font family fontFamily\",fontSize:\"fontSize fontsize size font-size\",text:\"text texts chars characters value values symbols\",align:\"align alignment textAlign textbaseline\",baseline:\"baseline textBaseline textbaseline\",direction:\"dir direction textDirection\",color:\"color colour fill fill-color fillColor textColor textcolor\",kerning:\"kerning kern\",range:\"range dataBox\",viewport:\"vp viewport viewBox viewbox viewPort\",opacity:\"opacity alpha transparency visible visibility opaque\",offset:\"offset positionOffset padding shift indent indentation\"},!0)).opacity&&(Array.isArray(t.opacity)?this.opacity=t.opacity.map((function(t){return parseFloat(t)})):this.opacity=parseFloat(t.opacity)),null!=t.viewport&&(this.viewport=f(t.viewport),this.viewportArray=[this.viewport.x,this.viewport.y,this.viewport.width,this.viewport.height]),null==this.viewport&&(this.viewport={x:0,y:0,width:this.gl.drawingBufferWidth,height:this.gl.drawingBufferHeight},this.viewportArray=[this.viewport.x,this.viewport.y,this.viewport.width,this.viewport.height]),null!=t.kerning&&(this.kerning=t.kerning),null!=t.offset&&(\"number\"==typeof t.offset&&(t.offset=[t.offset,0]),this.positionOffset=m(t.offset)),t.direction&&(this.direction=t.direction),t.range&&(this.range=t.range,this.scale=[1/(t.range[2]-t.range[0]),1/(t.range[3]-t.range[1])],this.translate=[-t.range[0],-t.range[1]]),t.scale&&(this.scale=t.scale),t.translate&&(this.translate=t.translate),this.scale||(this.scale=[1/this.viewport.width,1/this.viewport.height]),this.translate||(this.translate=[0,0]),this.font.length||t.font||(t.font=T.baseFontSize+\"px sans-serif\");var r,a=!1,o=!1;if(t.font&&(Array.isArray(t.font)?t.font:[t.font]).forEach((function(t,r){if(\"string\"==typeof t)try{t=n.parse(t)}catch(e){t=n.parse(T.baseFontSize+\"px \"+t)}else t=n.parse(n.stringify(t));var i=n.stringify({size:T.baseFontSize,family:t.family,stretch:_?t.stretch:void 0,variant:t.variant,weight:t.weight,style:t.style}),s=p(t.size),l=Math.round(s[0]*d(s[1]));if(l!==e.fontSize[r]&&(o=!0,e.fontSize[r]=l),!(e.font[r]&&i==e.font[r].baseString||(a=!0,e.font[r]=T.fonts[i],e.font[r]))){var u=t.family.join(\", \"),c=[t.style];t.style!=t.variant&&c.push(t.variant),t.variant!=t.weight&&c.push(t.weight),_&&t.weight!=t.stretch&&c.push(t.stretch),e.font[r]={baseString:i,family:u,weight:t.weight,stretch:t.stretch,style:t.style,variant:t.variant,width:{},kerning:{},metrics:y(u,{origin:\"top\",fontSize:T.baseFontSize,fontStyle:c.join(\" \")})},T.fonts[i]=e.font[r]}})),(a||o)&&this.font.forEach((function(r,i){var a=n.stringify({size:e.fontSize[i],family:r.family,stretch:_?r.stretch:void 0,variant:r.variant,weight:r.weight,style:r.style});if(e.fontAtlas[i]=e.shader.atlas[a],!e.fontAtlas[i]){var o=r.metrics;e.shader.atlas[a]=e.fontAtlas[i]={fontString:a,step:2*Math.ceil(e.fontSize[i]*o.bottom*.5),em:e.fontSize[i],cols:0,rows:0,height:0,width:0,chars:[],ids:{},texture:e.regl.texture()}}null==t.text&&(t.text=e.text)})),\"string\"==typeof t.text&&t.position&&t.position.length>2){for(var 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Math.atan2(this.y-t.y,this.x-t.x)},angleWith:function(t){return this.angleWithSep(t.x,t.y)},angleWithSep:function(t,e){return Math.atan2(this.x*e-this.y*t,this.x*t+this.y*e)},_matMult:function(t){var e=t[0]*this.x+t[1]*this.y,r=t[2]*this.x+t[3]*this.y;return this.x=e,this.y=r,this},_add:function(t){return this.x+=t.x,this.y+=t.y,this},_sub:function(t){return this.x-=t.x,this.y-=t.y,this},_mult:function(t){return this.x*=t,this.y*=t,this},_div:function(t){return this.x/=t,this.y/=t,this},_multByPoint:function(t){return this.x*=t.x,this.y*=t.y,this},_divByPoint:function(t){return this.x/=t.x,this.y/=t.y,this},_unit:function(){return this._div(this.mag()),this},_perp:function(){var t=this.y;return this.y=this.x,this.x=-t,this},_rotate:function(t){var e=Math.cos(t),r=Math.sin(t),n=e*this.x-r*this.y,i=r*this.x+e*this.y;return this.x=n,this.y=i,this},_rotateAround:function(t,e){var r=Math.cos(t),n=Math.sin(t),i=e.x+r*(this.x-e.x)-n*(this.y-e.y),a=e.y+n*(this.x-e.x)+r*(this.y-e.y);return 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r.width=t.width,r.height=t.height,n.drawImage(t,0,0,t.width,t.height),n.getImageData(-e,-e,t.width+2*e,t.height+2*e)},resolveURL:function(t){return C||(C=self.document.createElement(\"a\")),C.href=t,C.href},hardwareConcurrency:self.navigator.hardwareConcurrency||4,get devicePixelRatio(){return self.devicePixelRatio},get prefersReducedMotion(){return!!self.matchMedia&&(null==P&&(P=self.matchMedia(\"(prefers-reduced-motion: reduce)\")),P.matches)}},B={API_URL:\"https://api.mapbox.com\",get EVENTS_URL(){return this.API_URL?0===this.API_URL.indexOf(\"https://api.mapbox.cn\")?\"https://events.mapbox.cn/events/v2\":0===this.API_URL.indexOf(\"https://api.mapbox.com\")?\"https://events.mapbox.com/events/v2\":null:null},FEEDBACK_URL:\"https://apps.mapbox.com/feedback\",REQUIRE_ACCESS_TOKEN:!0,ACCESS_TOKEN:null,MAX_PARALLEL_IMAGE_REQUESTS:16},N={supported:!1,testSupport:function(t){!j&&I&&(U?V(t):O=t)}},j=!1,U=!1;function V(t){var 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Date.now()>this._skuTokenExpiresAt},q.prototype.transformRequest=function(t,e){return this._transformRequestFn&&this._transformRequestFn(t,e)||{url:t}},q.prototype.normalizeStyleURL=function(t,e){if(!G(t))return t;var r=X(t);return r.path=\"/styles/v1\"+r.path,this._makeAPIURL(r,this._customAccessToken||e)},q.prototype.normalizeGlyphsURL=function(t,e){if(!G(t))return t;var r=X(t);return r.path=\"/fonts/v1\"+r.path,this._makeAPIURL(r,this._customAccessToken||e)},q.prototype.normalizeSourceURL=function(t,e){if(!G(t))return t;var r=X(t);return r.path=\"/v4/\"+r.authority+\".json\",r.params.push(\"secure\"),this._makeAPIURL(r,this._customAccessToken||e)},q.prototype.normalizeSpriteURL=function(t,e,r,n){var i=X(t);return G(t)?(i.path=\"/styles/v1\"+i.path+\"/sprite\"+e+r,this._makeAPIURL(i,this._customAccessToken||n)):(i.path+=\"\"+e+r,J(i))},q.prototype.normalizeTileURL=function(t,e){if(this._isSkuTokenExpired()&&this._createSkuToken(),t&&!G(t))return t;var r=X(t),n=F.devicePixelRatio>=2||512===e?\"@2x\":\"\",i=N.supported?\".webp\":\"$1\";r.path=r.path.replace(/(\\.(png|jpg)\\d*)(?=$)/,\"\"+n+i),r.path=r.path.replace(/^.+\\/v4\\//,\"/\"),r.path=\"/v4\"+r.path;var a=this._customAccessToken||function(t){for(var e=0,r=t;e<r.length;e+=1){var n=r[e].match(/^access_token=(.*)$/);if(n)return n[1]}return null}(r.params)||B.ACCESS_TOKEN;return B.REQUIRE_ACCESS_TOKEN&&a&&this._skuToken&&r.params.push(\"sku=\"+this._skuToken),this._makeAPIURL(r,a)},q.prototype.canonicalizeTileURL=function(t,e){var r=X(t);if(!r.path.match(/(^\\/v4\\/)/)||!r.path.match(/\\.[\\w]+$/))return t;var n=\"mapbox://tiles/\";n+=r.path.replace(\"/v4/\",\"\");var i=r.params;return e&&(i=i.filter((function(t){return!t.match(/^access_token=/)}))),i.length&&(n+=\"?\"+i.join(\"&\")),n},q.prototype.canonicalizeTileset=function(t,e){for(var r=!!e&&G(e),n=[],i=0,a=t.tiles||[];i<a.length;i+=1){var o=a[i];Y(o)?n.push(this.canonicalizeTileURL(o,r)):n.push(o)}return n},q.prototype._makeAPIURL=function(t,e){var r=\"See https://www.mapbox.com/api-documentation/#access-tokens-and-token-scopes\",n=X(B.API_URL);if(t.protocol=n.protocol,t.authority=n.authority,\"/\"!==n.path&&(t.path=\"\"+n.path+t.path),!B.REQUIRE_ACCESS_TOKEN)return J(t);if(!(e=e||B.ACCESS_TOKEN))throw new Error(\"An API access token is required to use Mapbox GL. \"+r);if(\"s\"===e[0])throw new Error(\"Use a public access token (pk.*) with Mapbox GL, not a secret access token (sk.*). \"+r);return t.params=t.params.filter((function(t){return-1===t.indexOf(\"access_token\")})),t.params.push(\"access_token=\"+e),J(t)};var Z=/^((https?:)?\\/\\/)?([^\\/]+\\.)?mapbox\\.c(n|om)(\\/|\\?|$)/i;function Y(t){return Z.test(t)}var W=/^(\\w+):\\/\\/([^/?]*)(\\/[^?]+)?\\??(.+)?/;function X(t){var e=t.match(W);if(!e)throw new Error(\"Unable to parse URL object\");return{protocol:e[1],authority:e[2],path:e[3]||\"/\",params:e[4]?e[4].split(\"&\"):[]}}function J(t){var e=t.params.length?\"?\"+t.params.join(\"&\"):\"\";return t.protocol+\"://\"+t.authority+t.path+e}var K=\"mapbox.eventData\";function $(t){if(!t)return null;var e,r=t.split(\".\");if(!r||3!==r.length)return null;try{return JSON.parse((e=r[1],decodeURIComponent(self.atob(e).split(\"\").map((function(t){return\"%\"+(\"00\"+t.charCodeAt(0).toString(16)).slice(-2)})).join(\"\"))))}catch(t){return null}}var Q=function(t){this.type=t,this.anonId=null,this.eventData={},this.queue=[],this.pendingRequest=null};Q.prototype.getStorageKey=function(t){var e,r,n=$(B.ACCESS_TOKEN);return e=n&&n.u?(r=n.u,self.btoa(encodeURIComponent(r).replace(/%([0-9A-F]{2})/g,(function(t,e){return String.fromCharCode(Number(\"0x\"+e))})))):B.ACCESS_TOKEN||\"\",t?K+\".\"+t+\":\"+e:K+\":\"+e},Q.prototype.fetchEventData=function(){var t=L(\"localStorage\"),e=this.getStorageKey(),r=this.getStorageKey(\"uuid\");if(t)try{var n=self.localStorage.getItem(e);n&&(this.eventData=JSON.parse(n));var 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r=this.queue.shift(),n=r.id,i=r.timestamp;n&&this.success[n]||(this.anonId||this.fetchEventData(),v(this.anonId)||(this.anonId=d()),this.postEvent(i,{skuToken:this.skuToken},(function(t){t||n&&(e.success[n]=!0)}),t))}},e}(Q),nt=function(t){function e(e){t.call(this,\"appUserTurnstile\"),this._customAccessToken=e}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.postTurnstileEvent=function(t,e){B.EVENTS_URL&&B.ACCESS_TOKEN&&Array.isArray(t)&&t.some((function(t){return G(t)||Y(t)}))&&this.queueRequest(Date.now(),e)},e.prototype.processRequests=function(t){var e=this;if(!this.pendingRequest&&0!==this.queue.length){this.anonId&&this.eventData.lastSuccess&&this.eventData.tokenU||this.fetchEventData();var r=$(B.ACCESS_TOKEN),n=r?r.u:B.ACCESS_TOKEN,i=n!==this.eventData.tokenU;v(this.anonId)||(this.anonId=d(),i=!0);var a=this.queue.shift();if(this.eventData.lastSuccess){var o=new Date(this.eventData.lastSuccess),s=new 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n(t){return(t=Math.round(t))<0?0:t>255?255:t}function i(t){return t<0?0:t>1?1:t}function a(t){return\"%\"===t[t.length-1]?n(parseFloat(t)/100*255):n(parseInt(t))}function o(t){return\"%\"===t[t.length-1]?i(parseFloat(t)/100):i(parseFloat(t))}function s(t,e,r){return r<0?r+=1:r>1&&(r-=1),6*r<1?t+(e-t)*r*6:2*r<1?e:3*r<2?t+(e-t)*(2/3-r)*6:t}try{e.parseCSSColor=function(t){var e,i=t.replace(/ /g,\"\").toLowerCase();if(i in r)return r[i].slice();if(\"#\"===i[0])return 4===i.length?(e=parseInt(i.substr(1),16))>=0&&e<=4095?[(3840&e)>>4|(3840&e)>>8,240&e|(240&e)>>4,15&e|(15&e)<<4,1]:null:7===i.length&&(e=parseInt(i.substr(1),16))>=0&&e<=16777215?[(16711680&e)>>16,(65280&e)>>8,255&e,1]:null;var l=i.indexOf(\"(\"),u=i.indexOf(\")\");if(-1!==l&&u+1===i.length){var c=i.substr(0,l),f=i.substr(l+1,u-(l+1)).split(\",\"),h=1;switch(c){case\"rgba\":if(4!==f.length)return null;h=o(f.pop());case\"rgb\":return 3!==f.length?null:[a(f[0]),a(f[1]),a(f[2]),h];case\"hsla\":if(4!==f.length)return 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se=function(t,e,r){this.sensitivity=t?e?\"variant\":\"case\":e?\"accent\":\"base\",this.locale=r,this.collator=new Intl.Collator(this.locale?this.locale:[],{sensitivity:this.sensitivity,usage:\"search\"})};se.prototype.compare=function(t,e){return this.collator.compare(t,e)},se.prototype.resolvedLocale=function(){return new Intl.Collator(this.locale?this.locale:[]).resolvedOptions().locale};var le=function(t,e,r,n,i){this.text=t,this.image=e,this.scale=r,this.fontStack=n,this.textColor=i},ue=function(t){this.sections=t};ue.fromString=function(t){return new ue([new le(t,null,null,null,null)])},ue.prototype.isEmpty=function(){return 0===this.sections.length||!this.sections.some((function(t){return 0!==t.text.length||t.image&&0!==t.image.name.length}))},ue.factory=function(t){return t instanceof ue?t:ue.fromString(t)},ue.prototype.toString=function(){return 0===this.sections.length?\"\":this.sections.map((function(t){return t.text})).join(\"\")},ue.prototype.serialize=function(){for(var t=[\"format\"],e=0,r=this.sections;e<r.length;e+=1){var n=r[e];if(n.image)t.push([\"image\",n.image.name]);else{t.push(n.text);var i={};n.fontStack&&(i[\"text-font\"]=[\"literal\",n.fontStack.split(\",\")]),n.scale&&(i[\"font-scale\"]=n.scale),n.textColor&&(i[\"text-color\"]=[\"rgba\"].concat(n.textColor.toArray())),t.push(i)}}return t};var ce=function(t){this.name=t.name,this.available=t.available};function fe(t,e,r,n){return\"number\"==typeof t&&t>=0&&t<=255&&\"number\"==typeof e&&e>=0&&e<=255&&\"number\"==typeof r&&r>=0&&r<=255?void 0===n||\"number\"==typeof n&&n>=0&&n<=1?null:\"Invalid rgba value [\"+[t,e,r,n].join(\", \")+\"]: 'a' must be between 0 and 1.\":\"Invalid rgba value [\"+(\"number\"==typeof n?[t,e,r,n]:[t,e,r]).join(\", \")+\"]: 'r', 'g', and 'b' must be between 0 and 255.\"}function he(t){if(null===t)return!0;if(\"string\"==typeof t)return!0;if(\"boolean\"==typeof t)return!0;if(\"number\"==typeof t)return!0;if(t instanceof oe)return!0;if(t instanceof se)return!0;if(t 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ve=function(t,e){this.type=t,this.value=e};ve.parse=function(t,e){if(2!==t.length)return e.error(\"'literal' expression requires exactly one argument, but found \"+(t.length-1)+\" instead.\");if(!he(t[1]))return e.error(\"invalid value\");var r=t[1],n=pe(r),i=e.expectedType;return\"array\"!==n.kind||0!==n.N||!i||\"array\"!==i.kind||\"number\"==typeof i.N&&0!==i.N||(n=i),new ve(n,r)},ve.prototype.evaluate=function(){return this.value},ve.prototype.eachChild=function(){},ve.prototype.outputDefined=function(){return!0},ve.prototype.serialize=function(){return\"array\"===this.type.kind||\"object\"===this.type.kind?[\"literal\",this.value]:this.value instanceof oe?[\"rgba\"].concat(this.value.toArray()):this.value instanceof ue?this.value.serialize():this.value};var ge=function(t){this.name=\"ExpressionEvaluationError\",this.message=t};ge.prototype.toJSON=function(){return this.message};var ye={string:qt,number:Ht,boolean:Gt,object:Yt},me=function(t,e){this.type=t,this.args=e};me.parse=function(t,e){if(t.length<2)return e.error(\"Expected at least one argument.\");var r,n=1,i=t[0];if(\"array\"===i){var a,o;if(t.length>2){var s=t[1];if(\"string\"!=typeof s||!(s in ye)||\"object\"===s)return e.error('The item type argument of \"array\" must be one of string, number, boolean',1);a=ye[s],n++}else a=Wt;if(t.length>3){if(null!==t[2]&&(\"number\"!=typeof t[2]||t[2]<0||t[2]!==Math.floor(t[2])))return e.error('The length argument to \"array\" must be a positive integer literal',2);o=t[2],n++}r=$t(a,o)}else r=ye[i];for(var l=[];n<t.length;n++){var u=e.parse(t[n],n,Wt);if(!u)return null;l.push(u)}return new me(r,l)},me.prototype.evaluate=function(t){for(var e=0;e<this.args.length;e++){var r=this.args[e].evaluate(t);if(!ee(this.type,pe(r)))return r;if(e===this.args.length-1)throw new ge(\"Expected value to be of type \"+Qt(this.type)+\", but found \"+Qt(pe(r))+\" instead.\")}return null},me.prototype.eachChild=function(t){this.args.forEach(t)},me.prototype.outputDefined=function(){return this.args.every((function(t){return t.outputDefined()}))},me.prototype.serialize=function(){var t=this.type,e=[t.kind];if(\"array\"===t.kind){var r=t.itemType;if(\"string\"===r.kind||\"number\"===r.kind||\"boolean\"===r.kind){e.push(r.kind);var n=t.N;(\"number\"==typeof n||this.args.length>1)&&e.push(n)}}return e.concat(this.args.map((function(t){return t.serialize()})))};var xe=function(t){this.type=Jt,this.sections=t};xe.parse=function(t,e){if(t.length<2)return e.error(\"Expected at least one argument.\");var r=t[1];if(!Array.isArray(r)&&\"object\"==typeof r)return e.error(\"First argument must be an image or text section.\");for(var n=[],i=!1,a=1;a<=t.length-1;++a){var o=t[a];if(i&&\"object\"==typeof o&&!Array.isArray(o)){i=!1;var s=null;if(o[\"font-scale\"]&&!(s=e.parse(o[\"font-scale\"],1,Ht)))return null;var l=null;if(o[\"text-font\"]&&!(l=e.parse(o[\"text-font\"],1,$t(qt))))return null;var u=null;if(o[\"text-color\"]&&!(u=e.parse(o[\"text-color\"],1,Zt)))return null;var c=n[n.length-1];c.scale=s,c.font=l,c.textColor=u}else{var f=e.parse(t[a],1,Wt);if(!f)return null;var h=f.type.kind;if(\"string\"!==h&&\"value\"!==h&&\"null\"!==h&&\"resolvedImage\"!==h)return e.error(\"Formatted text type must be 'string', 'value', 'image' or 'null'.\");i=!0,n.push({content:f,scale:null,font:null,textColor:null})}}return new xe(n)},xe.prototype.evaluate=function(t){return new ue(this.sections.map((function(e){var r=e.content.evaluate(t);return pe(r)===Kt?new le(\"\",r,null,null,null):new le(de(r),null,e.scale?e.scale.evaluate(t):null,e.font?e.font.evaluate(t).join(\",\"):null,e.textColor?e.textColor.evaluate(t):null)})))},xe.prototype.eachChild=function(t){for(var e=0,r=this.sections;e<r.length;e+=1){var n=r[e];t(n.content),n.scale&&t(n.scale),n.font&&t(n.font),n.textColor&&t(n.textColor)}},xe.prototype.outputDefined=function(){return!1},xe.prototype.serialize=function(){for(var t=[\"format\"],e=0,r=this.sections;e<r.length;e+=1){var n=r[e];t.push(n.content.serialize());var i={};n.scale&&(i[\"font-scale\"]=n.scale.serialize()),n.font&&(i[\"text-font\"]=n.font.serialize()),n.textColor&&(i[\"text-color\"]=n.textColor.serialize()),t.push(i)}return t};var be=function(t){this.type=Kt,this.input=t};be.parse=function(t,e){if(2!==t.length)return e.error(\"Expected two arguments.\");var r=e.parse(t[1],1,qt);return r?new be(r):e.error(\"No image name provided.\")},be.prototype.evaluate=function(t){var e=this.input.evaluate(t),r=ce.fromString(e);return r&&t.availableImages&&(r.available=t.availableImages.indexOf(e)>-1),r},be.prototype.eachChild=function(t){t(this.input)},be.prototype.outputDefined=function(){return!1},be.prototype.serialize=function(){return[\"image\",this.input.serialize()]};var 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a=Je(e,n),o=e[a],s=e[a+1],l=xr.interpolationFactor(this.interpolation,n,o,s),u=r[a].evaluate(t),c=r[a+1].evaluate(t);return\"interpolate\"===this.operator?Qe[this.type.kind.toLowerCase()](u,c,l):\"interpolate-hcl\"===this.operator?yr.reverse(yr.interpolate(yr.forward(u),yr.forward(c),l)):gr.reverse(gr.interpolate(gr.forward(u),gr.forward(c),l))},xr.prototype.eachChild=function(t){t(this.input);for(var e=0,r=this.outputs;e<r.length;e+=1)t(r[e])},xr.prototype.outputDefined=function(){return this.outputs.every((function(t){return t.outputDefined()}))},xr.prototype.serialize=function(){var t;t=\"linear\"===this.interpolation.name?[\"linear\"]:\"exponential\"===this.interpolation.name?1===this.interpolation.base?[\"linear\"]:[\"exponential\",this.interpolation.base]:[\"cubic-bezier\"].concat(this.interpolation.controlPoints);for(var e=[this.operator,t,this.input.serialize()],r=0;r<this.labels.length;r++)e.push(this.labels[r],this.outputs[r].serialize());return e};var _r=function(t,e){this.type=t,this.args=e};_r.parse=function(t,e){if(t.length<2)return e.error(\"Expectected at least one argument.\");var r=null,n=e.expectedType;n&&\"value\"!==n.kind&&(r=n);for(var i=[],a=0,o=t.slice(1);a<o.length;a+=1){var s=o[a],l=e.parse(s,1+i.length,r,void 0,{typeAnnotation:\"omit\"});if(!l)return null;r=r||l.type,i.push(l)}var u=n&&i.some((function(t){return ee(n,t.type)}));return new _r(u?Wt:r,i)},_r.prototype.evaluate=function(t){for(var e,r=null,n=0,i=0,a=this.args;i<a.length&&(n++,(r=a[i].evaluate(t))&&r instanceof ce&&!r.available&&(e||(e=r.name),r=null,n===this.args.length&&(r=e)),null===r);i+=1);return r},_r.prototype.eachChild=function(t){this.args.forEach(t)},_r.prototype.outputDefined=function(){return this.args.every((function(t){return t.outputDefined()}))},_r.prototype.serialize=function(){var t=[\"coalesce\"];return this.eachChild((function(e){t.push(e.serialize())})),t};var wr=function(t,e){this.type=e.type,this.bindings=[].concat(t),this.result=e};wr.prototype.evaluate=function(t){return this.result.evaluate(t)},wr.prototype.eachChild=function(t){for(var e=0,r=this.bindings;e<r.length;e+=1)t(r[e][1]);t(this.result)},wr.parse=function(t,e){if(t.length<4)return e.error(\"Expected at least 3 arguments, but found \"+(t.length-1)+\" instead.\");for(var r=[],n=1;n<t.length-1;n+=2){var i=t[n];if(\"string\"!=typeof i)return e.error(\"Expected string, but found \"+typeof i+\" instead.\",n);if(/[^a-zA-Z0-9_]/.test(i))return e.error(\"Variable names must contain only alphanumeric characters or '_'.\",n);var a=e.parse(t[n+1],n+1);if(!a)return null;r.push([i,a])}var o=e.parse(t[t.length-1],t.length-1,e.expectedType,r);return o?new wr(r,o):null},wr.prototype.outputDefined=function(){return this.result.outputDefined()},wr.prototype.serialize=function(){for(var t=[\"let\"],e=0,r=this.bindings;e<r.length;e+=1){var n=r[e],i=n[0],a=n[1];t.push(i,a.serialize())}return 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kr=function(t,e){this.type=Gt,this.needle=t,this.haystack=e};kr.parse=function(t,e){if(3!==t.length)return e.error(\"Expected 2 arguments, but found \"+(t.length-1)+\" instead.\");var r=e.parse(t[1],1,Wt),n=e.parse(t[2],2,Wt);return r&&n?re(r.type,[Gt,qt,Ht,Vt,Wt])?new kr(r,n):e.error(\"Expected first argument to be of type boolean, string, number or null, but found \"+Qt(r.type)+\" instead\"):null},kr.prototype.evaluate=function(t){var e=this.needle.evaluate(t),r=this.haystack.evaluate(t);if(!r)return!1;if(!ne(e,[\"boolean\",\"string\",\"number\",\"null\"]))throw new ge(\"Expected first argument to be of type boolean, string, number or null, but found \"+Qt(pe(e))+\" instead.\");if(!ne(r,[\"string\",\"array\"]))throw new ge(\"Expected second argument to be of type array or string, but found \"+Qt(pe(r))+\" instead.\");return r.indexOf(e)>=0},kr.prototype.eachChild=function(t){t(this.needle),t(this.haystack)},kr.prototype.outputDefined=function(){return!0},kr.prototype.serialize=function(){return[\"in\",this.needle.serialize(),this.haystack.serialize()]};var Ar=function(t,e,r){this.type=Ht,this.needle=t,this.haystack=e,this.fromIndex=r};Ar.parse=function(t,e){if(t.length<=2||t.length>=5)return e.error(\"Expected 3 or 4 arguments, but found \"+(t.length-1)+\" instead.\");var r=e.parse(t[1],1,Wt),n=e.parse(t[2],2,Wt);if(!r||!n)return null;if(!re(r.type,[Gt,qt,Ht,Vt,Wt]))return e.error(\"Expected first argument to be of type boolean, string, number or null, but found \"+Qt(r.type)+\" instead\");if(4===t.length){var i=e.parse(t[3],3,Ht);return i?new Ar(r,n,i):null}return new Ar(r,n)},Ar.prototype.evaluate=function(t){var e=this.needle.evaluate(t),r=this.haystack.evaluate(t);if(!ne(e,[\"boolean\",\"string\",\"number\",\"null\"]))throw new ge(\"Expected first argument to be of type boolean, string, number or 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Er(r.type,r,n)},Er.prototype.evaluate=function(t){var e=this.input.evaluate(t),r=this.beginIndex.evaluate(t);if(!ne(e,[\"string\",\"array\"]))throw new ge(\"Expected first argument to be of type array or string, but found \"+Qt(pe(e))+\" instead.\");if(this.endIndex){var n=this.endIndex.evaluate(t);return e.slice(r,n)}return e.slice(r)},Er.prototype.eachChild=function(t){t(this.input),t(this.beginIndex),this.endIndex&&t(this.endIndex)},Er.prototype.outputDefined=function(){return!1},Er.prototype.serialize=function(){if(null!=this.endIndex&&void 0!==this.endIndex){var t=this.endIndex.serialize();return[\"slice\",this.input.serialize(),this.beginIndex.serialize(),t]}return[\"slice\",this.input.serialize(),this.beginIndex.serialize()]};var Or=Pr(\"==\",(function(t,e,r){return e===r}),Cr),Ir=Pr(\"!=\",(function(t,e,r){return e!==r}),(function(t,e,r,n){return!Cr(0,e,r,n)})),Dr=Pr(\"<\",(function(t,e,r){return e<r}),(function(t,e,r,n){return 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e=[],a=t.value,s=t.key;if(\"array\"!==Jr(a))return[new zt(s,a,\"array expected, \"+Jr(a)+\" found\")];if(2!==a.length)return[new zt(s,a,\"array length 2 expected, length \"+a.length+\" found\")];if(u){if(\"object\"!==Jr(a[0]))return[new zt(s,a,\"object expected, \"+Jr(a[0])+\" found\")];if(void 0===a[0].zoom)return[new zt(s,a,\"object stop key must have zoom\")];if(void 0===a[0].value)return[new zt(s,a,\"object stop key must have value\")];if(n&&n>Bt(a[0].zoom))return[new zt(s,a[0].zoom,\"stop zoom values must appear in ascending order\")];Bt(a[0].zoom)!==n&&(n=Bt(a[0].zoom),r=void 0,o={}),e=e.concat(dn({key:s+\"[0]\",value:a[0],valueSpec:{zoom:{}},style:t.style,styleSpec:t.styleSpec,objectElementValidators:{zoom:gn,value:h}}))}else e=e.concat(h({key:s+\"[0]\",value:a[0],valueSpec:{},style:t.style,styleSpec:t.styleSpec},a));return sn(Nt(a[1]))?e.concat([new zt(s+\"[1]\",a[1],\"expressions are not allowed in function 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t.length<=1?\"any\"!==r:\"==\"===r?Mn(t[1],t[2],\"==\"):\"!=\"===r?Ln(Mn(t[1],t[2],\"==\")):\"<\"===r||\">\"===r||\"<=\"===r||\">=\"===r?Mn(t[1],t[2],r):\"any\"===r?(e=t.slice(1),[\"any\"].concat(e.map(An))):\"all\"===r?[\"all\"].concat(t.slice(1).map(An)):\"none\"===r?[\"all\"].concat(t.slice(1).map(An).map(Ln)):\"in\"===r?Sn(t[1],t.slice(2)):\"!in\"===r?Ln(Sn(t[1],t.slice(2))):\"has\"===r?En(t[1]):\"!has\"===r?Ln(En(t[1])):\"within\"!==r||t}function Mn(t,e,r){switch(t){case\"$type\":return[\"filter-type-\"+r,e];case\"$id\":return[\"filter-id-\"+r,e];default:return[\"filter-\"+r,t,e]}}function Sn(t,e){if(0===e.length)return!1;switch(t){case\"$type\":return[\"filter-type-in\",[\"literal\",e]];case\"$id\":return[\"filter-id-in\",[\"literal\",e]];default:return e.length>200&&!e.some((function(t){return typeof t!=typeof e[0]}))?[\"filter-in-large\",t,[\"literal\",e.sort(Tn)]]:[\"filter-in-small\",t,[\"literal\",e]]}}function 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r=t.key,n=t.style,i=t.styleSpec,a=t.value,o=t.objectKey,s=i[e+\"_\"+t.layerType];if(!s)return[];var l=o.match(/^(.*)-transition$/);if(\"paint\"===e&&l&&s[l[1]]&&s[l[1]].transition)return Un({key:r,value:a,valueSpec:i.transition,style:n,styleSpec:i});var u,c=t.valueSpec||s[o];if(!c)return[new zt(r,a,'unknown property \"'+o+'\"')];if(\"string\"===Jr(a)&&Yr(c)&&!c.tokens&&(u=/^{([^}]+)}$/.exec(a)))return[new zt(r,a,'\"'+o+'\" does not support interpolation syntax\\nUse an identity property function instead: `{ \"type\": \"identity\", \"property\": '+JSON.stringify(u[1])+\" }`.\")];var f=[];return\"symbol\"===t.layerType&&(\"text-field\"===o&&n&&!n.glyphs&&f.push(new zt(r,a,'use of \"text-field\" requires a style \"glyphs\" property')),\"text-font\"===o&&Kr(Nt(a))&&\"identity\"===Bt(a.type)&&f.push(new zt(r,a,'\"text-font\" does not support identity 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h=i.sources&&i.sources[r.source],p=h&&Bt(h.type);h?\"vector\"===p&&\"raster\"===s?e.push(new zt(n,r.source,'layer \"'+r.id+'\" requires a raster source')):\"raster\"===p&&\"raster\"!==s?e.push(new zt(n,r.source,'layer \"'+r.id+'\" requires a vector source')):\"vector\"!==p||r[\"source-layer\"]?\"raster-dem\"===p&&\"hillshade\"!==s?e.push(new zt(n,r.source,\"raster-dem source can only be used with layer type 'hillshade'.\")):\"line\"!==s||!r.paint||!r.paint[\"line-gradient\"]||\"geojson\"===p&&h.lineMetrics||e.push(new zt(n,r,'layer \"'+r.id+'\" specifies a line-gradient, which requires a GeoJSON source with `lineMetrics` enabled.')):e.push(new zt(n,r,'layer \"'+r.id+'\" must specify a \"source-layer\"')):e.push(new zt(n,r.source,'source \"'+r.source+'\" not found'))}else e.push(new zt(n,r,'missing required property \"source\"'));return e=e.concat(dn({key:n,value:r,valueSpec:a.layer,style:t.style,styleSpec:t.styleSpec,objectElementValidators:{\"*\":function(){return[]},type:function(){return Un({key:n+\".type\",value:r.type,valueSpec:a.layer.type,style:t.style,styleSpec:t.styleSpec,object:r,objectKey:\"type\"})},filter:Cn,layout:function(t){return dn({layer:r,key:t.key,value:t.value,style:t.style,styleSpec:t.styleSpec,objectElementValidators:{\"*\":function(t){return Dn(Ft({layerType:s},t))}}})},paint:function(t){return dn({layer:r,key:t.key,value:t.value,style:t.style,styleSpec:t.styleSpec,objectElementValidators:{\"*\":function(t){return In(Ft({layerType:s},t))}}})}}})),e}function Rn(t){var e=t.value,r=t.key,n=Jr(e);return\"string\"!==n?[new zt(r,e,\"string expected, \"+n+\" found\")]:[]}var Fn={promoteId:function(t){var e=t.key,r=t.value;if(\"string\"===Jr(r))return Rn({key:e,value:r});var n=[];for(var i in r)n.push.apply(n,Rn({key:e+\".\"+i,value:r[i]}));return n}};function Bn(t){var e=t.value,r=t.key,n=t.styleSpec,i=t.style;if(!e.type)return[new zt(r,e,'\"type\" is required')];var a,o=Bt(e.type);switch(o){case\"vector\":case\"raster\":case\"raster-dem\":return dn({key:r,value:e,valueSpec:n[\"source_\"+o.replace(\"-\",\"_\")],style:t.style,styleSpec:n,objectElementValidators:Fn});case\"geojson\":if(a=dn({key:r,value:e,valueSpec:n.source_geojson,style:i,styleSpec:n,objectElementValidators:Fn}),e.cluster)for(var s in e.clusterProperties){var l=e.clusterProperties[s],u=l[0],c=l[1],f=\"string\"==typeof u?[u,[\"accumulated\"],[\"get\",s]]:u;a.push.apply(a,mn({key:r+\".\"+s+\".map\",value:c,expressionContext:\"cluster-map\"})),a.push.apply(a,mn({key:r+\".\"+s+\".reduce\",value:f,expressionContext:\"cluster-reduce\"}))}return a;case\"video\":return dn({key:r,value:e,valueSpec:n.source_video,style:i,styleSpec:n});case\"image\":return dn({key:r,value:e,valueSpec:n.source_image,style:i,styleSpec:n});case\"canvas\":return[new zt(r,null,\"Please use runtime APIs to add canvas sources, rather than including them in stylesheets.\",\"source.canvas\")];default:return xn({key:r+\".type\",value:e.type,valueSpec:{values:[\"vector\",\"raster\",\"raster-dem\",\"geojson\",\"video\",\"image\"]},style:i,styleSpec:n})}}function Nn(t){var e=t.value,r=t.styleSpec,n=r.light,i=t.style,a=[],o=Jr(e);if(void 0===e)return a;if(\"object\"!==o)return a.concat([new zt(\"light\",e,\"object expected, \"+o+\" found\")]);for(var s in e){var l=s.match(/^(.*)-transition$/);a=l&&n[l[1]]&&n[l[1]].transition?a.concat(Un({key:s,value:e[s],valueSpec:r.transition,style:i,styleSpec:r})):n[s]?a.concat(Un({key:s,value:e[s],valueSpec:n[s],style:i,styleSpec:r})):a.concat([new zt(s,e[s],'unknown property \"'+s+'\"')])}return a}var jn={\"*\":function(){return[]},array:vn,boolean:function(t){var e=t.value,r=t.key,n=Jr(e);return\"boolean\"!==n?[new zt(r,e,\"boolean expected, \"+n+\" found\")]:[]},number:gn,color:function(t){var e=t.key,r=t.value,n=Jr(r);return\"string\"!==n?[new zt(e,r,\"color 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o=i[$n+a],s=i[$n+a+1];n.push(o===s?null:i.subarray(o,s))}var l=i[$n+n.length],u=i[$n+n.length+1];this.keys=i.subarray(l,u),this.bboxes=i.subarray(u),this.insert=this._insertReadonly}else{this.d=e+2*r;for(var c=0;c<this.d*this.d;c++)n.push([]);this.keys=[],this.bboxes=[]}this.n=e,this.extent=t,this.padding=r,this.scale=e/t,this.uid=0;var f=r/e*t;this.min=-f,this.max=t+f}Qn.prototype.insert=function(t,e,r,n,i){this._forEachCell(e,r,n,i,this._insertCell,this.uid++),this.keys.push(t),this.bboxes.push(e),this.bboxes.push(r),this.bboxes.push(n),this.bboxes.push(i)},Qn.prototype._insertReadonly=function(){throw\"Cannot insert into a GridIndex created from an ArrayBuffer.\"},Qn.prototype._insertCell=function(t,e,r,n,i,a){this.cells[i].push(a)},Qn.prototype.query=function(t,e,r,n,i){var a=this.min,o=this.max;if(t<=a&&e<=a&&o<=r&&o<=n&&!i)return Array.prototype.slice.call(this.keys);var s=[];return this._forEachCell(t,e,r,n,this._queryCell,s,{},i),s},Qn.prototype._queryCell=function(t,e,r,n,i,a,o,s){var l=this.cells[i];if(null!==l)for(var u=this.keys,c=this.bboxes,f=0;f<l.length;f++){var h=l[f];if(void 0===o[h]){var p=4*h;(s?s(c[p+0],c[p+1],c[p+2],c[p+3]):t<=c[p+2]&&e<=c[p+3]&&r>=c[p+0]&&n>=c[p+1])?(o[h]=!0,a.push(u[h])):o[h]=!1}}},Qn.prototype._forEachCell=function(t,e,r,n,i,a,o,s){for(var l=this._convertToCellCoord(t),u=this._convertToCellCoord(e),c=this._convertToCellCoord(r),f=this._convertToCellCoord(n),h=l;h<=c;h++)for(var p=u;p<=f;p++){var d=this.d*p+h;if((!s||s(this._convertFromCellCoord(h),this._convertFromCellCoord(p),this._convertFromCellCoord(h+1),this._convertFromCellCoord(p+1)))&&i.call(this,t,e,r,n,d,a,o,s))return}},Qn.prototype._convertFromCellCoord=function(t){return(t-this.padding)/this.scale},Qn.prototype._convertToCellCoord=function(t){return Math.max(0,Math.min(this.d-1,Math.floor(t*this.scale)+this.padding))},Qn.prototype.toArrayBuffer=function(){if(this.arrayBuffer)return this.arrayBuffer;for(var t=this.cells,e=$n+this.cells.length+1+1,r=0,n=0;n<this.cells.length;n++)r+=this.cells[n].length;var i=new Int32Array(e+r+this.keys.length+this.bboxes.length);i[0]=this.extent,i[1]=this.n,i[2]=this.padding;for(var a=e,o=0;o<t.length;o++){var s=t[o];i[$n+o]=a,i.set(s,a),a+=s.length}return i[$n+t.length]=a,i.set(this.keys,a),a+=this.keys.length,i[$n+t.length+1]=a,i.set(this.bboxes,a),a+=this.bboxes.length,i.buffer};var ti=self.ImageData,ei=self.ImageBitmap,ri={};function ni(t,e,r){void 0===r&&(r={}),Object.defineProperty(e,\"_classRegistryKey\",{value:t,writeable:!1}),ri[t]={klass:e,omit:r.omit||[],shallow:r.shallow||[]}}for(var ii in ni(\"Object\",Object),Kn.serialize=function(t,e){var r=t.toArrayBuffer();return e&&e.push(r),{buffer:r}},Kn.deserialize=function(t){return new Kn(t.buffer)},ni(\"Grid\",Kn),ni(\"Color\",oe),ni(\"Error\",Error),ni(\"ResolvedImage\",ce),ni(\"StylePropertyFunction\",hn),ni(\"StyleExpression\",on,{omit:[\"_evaluator\"]}),ni(\"ZoomDependentExpression\",cn),ni(\"ZoomConstantExpression\",un),ni(\"CompoundExpression\",Ae,{omit:[\"_evaluate\"]}),jr)jr[ii]._classRegistryKey||ni(\"Expression_\"+ii,jr[ii]);function ai(t){return t&&\"undefined\"!=typeof ArrayBuffer&&(t instanceof ArrayBuffer||t.constructor&&\"ArrayBuffer\"===t.constructor.name)}function oi(t){return ei&&t instanceof ei}function si(t,e){if(null==t||\"boolean\"==typeof t||\"number\"==typeof t||\"string\"==typeof t||t instanceof Boolean||t instanceof Number||t instanceof String||t instanceof Date||t instanceof RegExp)return t;if(ai(t)||oi(t))return e&&e.push(t),t;if(ArrayBuffer.isView(t)){var r=t;return e&&e.push(r.buffer),r}if(t instanceof ti)return e&&e.push(t.data.buffer),t;if(Array.isArray(t)){for(var n=[],i=0,a=t;i<a.length;i+=1){var o=a[i];n.push(si(o,e))}return n}if(\"object\"==typeof t){var s=t.constructor,l=s._classRegistryKey;if(!l)throw new Error(\"can't serialize object of unregistered class\");var u=s.serialize?s.serialize(t,e):{};if(!s.serialize){for(var c in t)if(t.hasOwnProperty(c)&&!(ri[l].omit.indexOf(c)>=0)){var f=t[c];u[c]=ri[l].shallow.indexOf(c)>=0?f:si(f,e)}t instanceof Error&&(u.message=t.message)}if(u.$name)throw new Error(\"$name property is reserved for worker serialization logic.\");return\"Object\"!==l&&(u.$name=l),u}throw new Error(\"can't serialize object of type \"+typeof t)}function li(t){if(null==t||\"boolean\"==typeof t||\"number\"==typeof t||\"string\"==typeof t||t instanceof Boolean||t instanceof Number||t instanceof String||t instanceof Date||t instanceof RegExp||ai(t)||oi(t)||ArrayBuffer.isView(t)||t instanceof ti)return t;if(Array.isArray(t))return t.map(li);if(\"object\"==typeof t){var e=t.$name||\"Object\",r=ri[e].klass;if(!r)throw new Error(\"can't deserialize unregistered class 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Aboriginal Syllabics\":function(t){return t>=5120&&t<=5759},Khmer:function(t){return t>=6016&&t<=6143},\"Unified Canadian Aboriginal Syllabics Extended\":function(t){return t>=6320&&t<=6399},\"General Punctuation\":function(t){return t>=8192&&t<=8303},\"Letterlike Symbols\":function(t){return t>=8448&&t<=8527},\"Number Forms\":function(t){return t>=8528&&t<=8591},\"Miscellaneous Technical\":function(t){return t>=8960&&t<=9215},\"Control Pictures\":function(t){return t>=9216&&t<=9279},\"Optical Character Recognition\":function(t){return t>=9280&&t<=9311},\"Enclosed Alphanumerics\":function(t){return t>=9312&&t<=9471},\"Geometric Shapes\":function(t){return t>=9632&&t<=9727},\"Miscellaneous Symbols\":function(t){return t>=9728&&t<=9983},\"Miscellaneous Symbols and Arrows\":function(t){return t>=11008&&t<=11263},\"CJK Radicals Supplement\":function(t){return t>=11904&&t<=12031},\"Kangxi Radicals\":function(t){return t>=12032&&t<=12255},\"Ideographic Description 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t&&t.indexOf(\"NetworkError\")>-1&&(Ti=_i),wi&&wi(t)};function Mi(){Si.fire(new Pt(\"pluginStateChange\",{pluginStatus:Ti,pluginURL:ki}))}var Si=new It,Ei=function(){return Ti},Li=function(){if(Ti!==mi||!ki)throw new Error(\"rtl-text-plugin cannot be downloaded unless a pluginURL is specified\");Ti=xi,Mi(),ki&&kt({url:ki},(function(t){t?Ai(t):(Ti=bi,Mi())}))},Ci={applyArabicShaping:null,processBidirectionalText:null,processStyledBidirectionalText:null,isLoaded:function(){return Ti===bi||null!=Ci.applyArabicShaping},isLoading:function(){return Ti===xi},setState:function(t){Ti=t.pluginStatus,ki=t.pluginURL},isParsed:function(){return null!=Ci.applyArabicShaping&&null!=Ci.processBidirectionalText&&null!=Ci.processStyledBidirectionalText},getPluginURL:function(){return ki}},Pi=function(t,e){this.zoom=t,e?(this.now=e.now,this.fadeDuration=e.fadeDuration,this.zoomHistory=e.zoomHistory,this.transition=e.transition):(this.now=0,this.fadeDuration=0,this.zoomHistory=new 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b(this._values[t].transition)},Di.prototype.setTransition=function(t,e){this._values.hasOwnProperty(t)||(this._values[t]=new Ii(this._values[t].property)),this._values[t].transition=b(e)||void 0},Di.prototype.serialize=function(){for(var t={},e=0,r=Object.keys(this._values);e<r.length;e+=1){var n=r[e],i=this.getValue(n);void 0!==i&&(t[n]=i);var a=this.getTransition(n);void 0!==a&&(t[n+\"-transition\"]=a)}return t},Di.prototype.transitioned=function(t,e){for(var r=new Ri(this._properties),n=0,i=Object.keys(this._values);n<i.length;n+=1){var a=i[n];r._values[a]=this._values[a].transitioned(t,e._values[a])}return r},Di.prototype.untransitioned=function(){for(var t=new Ri(this._properties),e=0,r=Object.keys(this._values);e<r.length;e+=1){var n=r[e];t._values[n]=this._values[n].untransitioned()}return t};var zi=function(t,e,r,n,i){this.property=t,this.value=e,this.begin=i+n.delay||0,this.end=this.begin+n.duration||0,t.specification.transition&&(n.delay||n.duration)&&(this.prior=r)};zi.prototype.possiblyEvaluate=function(t,e,r){var n=t.now||0,i=this.value.possiblyEvaluate(t,e,r),a=this.prior;if(a){if(n>this.end)return this.prior=null,i;if(this.value.isDataDriven())return this.prior=null,i;if(n<this.begin)return a.possiblyEvaluate(t,e,r);var o=(n-this.begin)/(this.end-this.begin);return this.property.interpolate(a.possiblyEvaluate(t,e,r),i,function(t){if(t<=0)return 0;if(t>=1)return 1;var e=t*t,r=e*t;return 4*(t<.5?r:3*(t-e)+r-.75)}(o))}return i};var Ri=function(t){this._properties=t,this._values=Object.create(t.defaultTransitioningPropertyValues)};Ri.prototype.possiblyEvaluate=function(t,e,r){for(var n=new Ni(this._properties),i=0,a=Object.keys(this._values);i<a.length;i+=1){var o=a[i];n._values[o]=this._values[o].possiblyEvaluate(t,e,r)}return n},Ri.prototype.hasTransition=function(){for(var t=0,e=Object.keys(this._values);t<e.length;t+=1){var r=e[t];if(this._values[r].prior)return!0}return!1};var Fi=function(t){this._properties=t,this._values=Object.create(t.defaultPropertyValues)};Fi.prototype.getValue=function(t){return b(this._values[t].value)},Fi.prototype.setValue=function(t,e){this._values[t]=new Oi(this._values[t].property,null===e?void 0:b(e))},Fi.prototype.serialize=function(){for(var t={},e=0,r=Object.keys(this._values);e<r.length;e+=1){var n=r[e],i=this.getValue(n);void 0!==i&&(t[n]=i)}return t},Fi.prototype.possiblyEvaluate=function(t,e,r){for(var n=new Ni(this._properties),i=0,a=Object.keys(this._values);i<a.length;i+=1){var o=a[i];n._values[o]=this._values[o].possiblyEvaluate(t,e,r)}return n};var Bi=function(t,e,r){this.property=t,this.value=e,this.parameters=r};Bi.prototype.isConstant=function(){return\"constant\"===this.value.kind},Bi.prototype.constantOr=function(t){return\"constant\"===this.value.kind?this.value.value:t},Bi.prototype.evaluate=function(t,e,r,n){return this.property.evaluate(this.value,this.parameters,t,e,r,n)};var Ni=function(t){this._properties=t,this._values=Object.create(t.defaultPossiblyEvaluatedValues)};Ni.prototype.get=function(t){return this._values[t]};var ji=function(t){this.specification=t};ji.prototype.possiblyEvaluate=function(t,e){return t.expression.evaluate(e)},ji.prototype.interpolate=function(t,e,r){var n=Qe[this.specification.type];return n?n(t,e,r):t};var Ui=function(t,e){this.specification=t,this.overrides=e};Ui.prototype.possiblyEvaluate=function(t,e,r,n){return\"constant\"===t.expression.kind||\"camera\"===t.expression.kind?new Bi(this,{kind:\"constant\",value:t.expression.evaluate(e,null,{},r,n)},e):new Bi(this,t.expression,e)},Ui.prototype.interpolate=function(t,e,r){if(\"constant\"!==t.value.kind||\"constant\"!==e.value.kind)return t;if(void 0===t.value.value||void 0===e.value.value)return new Bi(this,{kind:\"constant\",value:void 0},t.parameters);var n=Qe[this.specification.type];return n?new Bi(this,{kind:\"constant\",value:n(t.value.value,e.value.value,r)},t.parameters):t},Ui.prototype.evaluate=function(t,e,r,n,i,a){return\"constant\"===t.kind?t.value:t.evaluate(e,r,n,i,a)};var Vi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.possiblyEvaluate=function(t,e,r,n){if(void 0===t.value)return new Bi(this,{kind:\"constant\",value:void 0},e);if(\"constant\"===t.expression.kind){var i=t.expression.evaluate(e,null,{},r,n),a=\"resolvedImage\"===t.property.specification.type&&\"string\"!=typeof i?i.name:i,o=this._calculate(a,a,a,e);return new Bi(this,{kind:\"constant\",value:o},e)}if(\"camera\"===t.expression.kind){var s=this._calculate(t.expression.evaluate({zoom:e.zoom-1}),t.expression.evaluate({zoom:e.zoom}),t.expression.evaluate({zoom:e.zoom+1}),e);return new Bi(this,{kind:\"constant\",value:s},e)}return new Bi(this,t.expression,e)},e.prototype.evaluate=function(t,e,r,n,i,a){if(\"source\"===t.kind){var o=t.evaluate(e,r,n,i,a);return this._calculate(o,o,o,e)}return\"composite\"===t.kind?this._calculate(t.evaluate({zoom:Math.floor(e.zoom)-1},r,n),t.evaluate({zoom:Math.floor(e.zoom)},r,n),t.evaluate({zoom:Math.floor(e.zoom)+1},r,n),e):t.value},e.prototype._calculate=function(t,e,r,n){return n.zoom>n.zoomHistory.lastIntegerZoom?{from:t,to:e}:{from:r,to:e}},e.prototype.interpolate=function(t){return t},e}(Ui),Hi=function(t){this.specification=t};Hi.prototype.possiblyEvaluate=function(t,e,r,n){if(void 0!==t.value){if(\"constant\"===t.expression.kind){var i=t.expression.evaluate(e,null,{},r,n);return this._calculate(i,i,i,e)}return this._calculate(t.expression.evaluate(new Pi(Math.floor(e.zoom-1),e)),t.expression.evaluate(new Pi(Math.floor(e.zoom),e)),t.expression.evaluate(new Pi(Math.floor(e.zoom+1),e)),e)}},Hi.prototype._calculate=function(t,e,r,n){return n.zoom>n.zoomHistory.lastIntegerZoom?{from:t,to:e}:{from:r,to:e}},Hi.prototype.interpolate=function(t){return t};var qi=function(t){this.specification=t};qi.prototype.possiblyEvaluate=function(t,e,r,n){return!!t.expression.evaluate(e,null,{},r,n)},qi.prototype.interpolate=function(){return!1};var Gi=function(t){for(var e in this.properties=t,this.defaultPropertyValues={},this.defaultTransitionablePropertyValues={},this.defaultTransitioningPropertyValues={},this.defaultPossiblyEvaluatedValues={},this.overridableProperties=[],t){var r=t[e];r.specification.overridable&&this.overridableProperties.push(e);var n=this.defaultPropertyValues[e]=new Oi(r,void 0),i=this.defaultTransitionablePropertyValues[e]=new Ii(r);this.defaultTransitioningPropertyValues[e]=i.untransitioned(),this.defaultPossiblyEvaluatedValues[e]=n.possiblyEvaluate({})}};ni(\"DataDrivenProperty\",Ui),ni(\"DataConstantProperty\",ji),ni(\"CrossFadedDataDrivenProperty\",Vi),ni(\"CrossFadedProperty\",Hi),ni(\"ColorRampProperty\",qi);var Zi=\"-transition\",Yi=function(t){function e(e,r){if(t.call(this),this.id=e.id,this.type=e.type,this._featureFilter={filter:function(){return!0},needGeometry:!1},\"custom\"!==e.type&&(this.metadata=e.metadata,this.minzoom=e.minzoom,this.maxzoom=e.maxzoom,\"background\"!==e.type&&(this.source=e.source,this.sourceLayer=e[\"source-layer\"],this.filter=e.filter),r.layout&&(this._unevaluatedLayout=new Fi(r.layout)),r.paint)){for(var n in this._transitionablePaint=new Di(r.paint),e.paint)this.setPaintProperty(n,e.paint[n],{validate:!1});for(var i in e.layout)this.setLayoutProperty(i,e.layout[i],{validate:!1});this._transitioningPaint=this._transitionablePaint.untransitioned(),this.paint=new Ni(r.paint)}}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getCrossfadeParameters=function(){return this._crossfadeParameters},e.prototype.getLayoutProperty=function(t){return\"visibility\"===t?this.visibility:this._unevaluatedLayout.getValue(t)},e.prototype.setLayoutProperty=function(t,e,r){if(void 0===r&&(r={}),null!=e){var n=\"layers.\"+this.id+\".layout.\"+t;if(this._validate(Xn,n,t,e,r))return}\"visibility\"!==t?this._unevaluatedLayout.setValue(t,e):this.visibility=e},e.prototype.getPaintProperty=function(t){return y(t,Zi)?this._transitionablePaint.getTransition(t.slice(0,-11)):this._transitionablePaint.getValue(t)},e.prototype.setPaintProperty=function(t,e,r){if(void 0===r&&(r={}),null!=e){var n=\"layers.\"+this.id+\".paint.\"+t;if(this._validate(Wn,n,t,e,r))return!1}if(y(t,Zi))return this._transitionablePaint.setTransition(t.slice(0,-11),e||void 0),!1;var i=this._transitionablePaint._values[t],a=\"cross-faded-data-driven\"===i.property.specification[\"property-type\"],o=i.value.isDataDriven(),s=i.value;this._transitionablePaint.setValue(t,e),this._handleSpecialPaintPropertyUpdate(t);var l=this._transitionablePaint._values[t].value;return l.isDataDriven()||o||a||this._handleOverridablePaintPropertyUpdate(t,s,l)},e.prototype._handleSpecialPaintPropertyUpdate=function(t){},e.prototype._handleOverridablePaintPropertyUpdate=function(t,e,r){return!1},e.prototype.isHidden=function(t){return!!(this.minzoom&&t<this.minzoom)||!!(this.maxzoom&&t>=this.maxzoom)||\"none\"===this.visibility},e.prototype.updateTransitions=function(t){this._transitioningPaint=this._transitionablePaint.transitioned(t,this._transitioningPaint)},e.prototype.hasTransition=function(){return this._transitioningPaint.hasTransition()},e.prototype.recalculate=function(t,e){t.getCrossfadeParameters&&(this._crossfadeParameters=t.getCrossfadeParameters()),this._unevaluatedLayout&&(this.layout=this._unevaluatedLayout.possiblyEvaluate(t,void 0,e)),this.paint=this._transitioningPaint.possiblyEvaluate(t,void 0,e)},e.prototype.serialize=function(){var t={id:this.id,type:this.type,source:this.source,\"source-layer\":this.sourceLayer,metadata:this.metadata,minzoom:this.minzoom,maxzoom:this.maxzoom,filter:this.filter,layout:this._unevaluatedLayout&&this._unevaluatedLayout.serialize(),paint:this._transitionablePaint&&this._transitionablePaint.serialize()};return this.visibility&&(t.layout=t.layout||{},t.layout.visibility=this.visibility),x(t,(function(t,e){return!(void 0===t||\"layout\"===e&&!Object.keys(t).length||\"paint\"===e&&!Object.keys(t).length)}))},e.prototype._validate=function(t,e,r,n,i){return void 0===i&&(i={}),(!i||!1!==i.validate)&&Jn(this,t.call(Zn,{key:e,layerType:this.type,objectKey:r,value:n,styleSpec:Dt,style:{glyphs:!0,sprite:!0}}))},e.prototype.is3D=function(){return!1},e.prototype.isTileClipped=function(){return!1},e.prototype.hasOffscreenPass=function(){return!1},e.prototype.resize=function(){},e.prototype.isStateDependent=function(){for(var t in this.paint._values){var e=this.paint.get(t);if(e instanceof Bi&&Yr(e.property.specification)&&(\"source\"===e.value.kind||\"composite\"===e.value.kind)&&e.value.isStateDependent)return!0}return!1},e}(It),Wi={Int8:Int8Array,Uint8:Uint8Array,Int16:Int16Array,Uint16:Uint16Array,Int32:Int32Array,Uint32:Uint32Array,Float32:Float32Array},Xi=function(t,e){this._structArray=t,this._pos1=e*this.size,this._pos2=this._pos1/2,this._pos4=this._pos1/4,this._pos8=this._pos1/8},Ji=function(){this.isTransferred=!1,this.capacity=-1,this.resize(0)};function Ki(t,e){void 0===e&&(e=1);var r=0,n=0;return{members:t.map((function(t){var i,a=(i=t.type,Wi[i].BYTES_PER_ELEMENT),o=r=$i(r,Math.max(e,a)),s=t.components||1;return n=Math.max(n,a),r+=a*s,{name:t.name,type:t.type,components:s,offset:o}})),size:$i(r,Math.max(n,e)),alignment:e}}function $i(t,e){return Math.ceil(t/e)*e}Ji.serialize=function(t,e){return t._trim(),e&&(t.isTransferred=!0,e.push(t.arrayBuffer)),{length:t.length,arrayBuffer:t.arrayBuffer}},Ji.deserialize=function(t){var e=Object.create(this.prototype);return e.arrayBuffer=t.arrayBuffer,e.length=t.length,e.capacity=t.arrayBuffer.byteLength/e.bytesPerElement,e._refreshViews(),e},Ji.prototype._trim=function(){this.length!==this.capacity&&(this.capacity=this.length,this.arrayBuffer=this.arrayBuffer.slice(0,this.length*this.bytesPerElement),this._refreshViews())},Ji.prototype.clear=function(){this.length=0},Ji.prototype.resize=function(t){this.reserve(t),this.length=t},Ji.prototype.reserve=function(t){if(t>this.capacity){this.capacity=Math.max(t,Math.floor(5*this.capacity),128),this.arrayBuffer=new ArrayBuffer(this.capacity*this.bytesPerElement);var e=this.uint8;this._refreshViews(),e&&this.uint8.set(e)}},Ji.prototype._refreshViews=function(){throw new Error(\"_refreshViews() must be implemented by each concrete StructArray layout\")};var Qi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e){var r=this.length;return this.resize(r+1),this.emplace(r,t,e)},e.prototype.emplace=function(t,e,r){var n=2*t;return this.int16[n+0]=e,this.int16[n+1]=r,t},e}(Ji);Qi.prototype.bytesPerElement=4,ni(\"StructArrayLayout2i4\",Qi);var ta=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new 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this.int16[s+0]=e,this.int16[s+1]=r,this.int16[s+2]=n,this.int16[s+3]=i,this.int16[s+4]=a,this.int16[s+5]=o,t},e}(Ji);ea.prototype.bytesPerElement=12,ni(\"StructArrayLayout2i4i12\",ea);var ra=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a){var o=this.length;return this.resize(o+1),this.emplace(o,t,e,r,n,i,a)},e.prototype.emplace=function(t,e,r,n,i,a,o){var s=4*t,l=8*t;return this.int16[s+0]=e,this.int16[s+1]=r,this.uint8[l+4]=n,this.uint8[l+5]=i,this.uint8[l+6]=a,this.uint8[l+7]=o,t},e}(Ji);ra.prototype.bytesPerElement=8,ni(\"StructArrayLayout2i4ub8\",ra);var na=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l,u){var c=this.length;return this.resize(c+1),this.emplace(c,t,e,r,n,i,a,o,s,l,u)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,u,c){var f=9*t,h=18*t;return this.uint16[f+0]=e,this.uint16[f+1]=r,this.uint16[f+2]=n,this.uint16[f+3]=i,this.uint16[f+4]=a,this.uint16[f+5]=o,this.uint16[f+6]=s,this.uint16[f+7]=l,this.uint8[h+16]=u,this.uint8[h+17]=c,t},e}(Ji);na.prototype.bytesPerElement=18,ni(\"StructArrayLayout8ui2ub18\",na);var ia=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l,u,c,f){var h=this.length;return this.resize(h+1),this.emplace(h,t,e,r,n,i,a,o,s,l,u,c,f)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,u,c,f,h){var p=12*t;return this.int16[p+0]=e,this.int16[p+1]=r,this.int16[p+2]=n,this.int16[p+3]=i,this.uint16[p+4]=a,this.uint16[p+5]=o,this.uint16[p+6]=s,this.uint16[p+7]=l,this.int16[p+8]=u,this.int16[p+9]=c,this.int16[p+10]=f,this.int16[p+11]=h,t},e}(Ji);ia.prototype.bytesPerElement=24,ni(\"StructArrayLayout4i4ui4i24\",ia);var aa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r){var n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)},e.prototype.emplace=function(t,e,r,n){var i=3*t;return this.float32[i+0]=e,this.float32[i+1]=r,this.float32[i+2]=n,t},e}(Ji);aa.prototype.bytesPerElement=12,ni(\"StructArrayLayout3f12\",aa);var oa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t){var e=this.length;return this.resize(e+1),this.emplace(e,t)},e.prototype.emplace=function(t,e){var r=1*t;return this.uint32[r+0]=e,t},e}(Ji);oa.prototype.bytesPerElement=4,ni(\"StructArrayLayout1ul4\",oa);var sa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l){var u=this.length;return this.resize(u+1),this.emplace(u,t,e,r,n,i,a,o,s,l)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,u){var c=10*t,f=5*t;return this.int16[c+0]=e,this.int16[c+1]=r,this.int16[c+2]=n,this.int16[c+3]=i,this.int16[c+4]=a,this.int16[c+5]=o,this.uint32[f+3]=s,this.uint16[c+8]=l,this.uint16[c+9]=u,t},e}(Ji);sa.prototype.bytesPerElement=20,ni(\"StructArrayLayout6i1ul2ui20\",sa);var la=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a){var o=this.length;return this.resize(o+1),this.emplace(o,t,e,r,n,i,a)},e.prototype.emplace=function(t,e,r,n,i,a,o){var s=6*t;return this.int16[s+0]=e,this.int16[s+1]=r,this.int16[s+2]=n,this.int16[s+3]=i,this.int16[s+4]=a,this.int16[s+5]=o,t},e}(Ji);la.prototype.bytesPerElement=12,ni(\"StructArrayLayout2i2i2i12\",la);var ua=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i){var a=this.length;return this.resize(a+1),this.emplace(a,t,e,r,n,i)},e.prototype.emplace=function(t,e,r,n,i,a){var o=4*t,s=8*t;return this.float32[o+0]=e,this.float32[o+1]=r,this.float32[o+2]=n,this.int16[s+6]=i,this.int16[s+7]=a,t},e}(Ji);ua.prototype.bytesPerElement=16,ni(\"StructArrayLayout2f1f2i16\",ua);var ca=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n){var i=this.length;return this.resize(i+1),this.emplace(i,t,e,r,n)},e.prototype.emplace=function(t,e,r,n,i){var a=12*t,o=3*t;return this.uint8[a+0]=e,this.uint8[a+1]=r,this.float32[o+1]=n,this.float32[o+2]=i,t},e}(Ji);ca.prototype.bytesPerElement=12,ni(\"StructArrayLayout2ub2f12\",ca);var fa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r){var n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)},e.prototype.emplace=function(t,e,r,n){var i=3*t;return 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this.int16[m+0]=e,this.int16[m+1]=r,this.uint16[m+2]=n,this.uint16[m+3]=i,this.uint32[x+2]=a,this.uint32[x+3]=o,this.uint32[x+4]=s,this.uint16[m+10]=l,this.uint16[m+11]=u,this.uint16[m+12]=c,this.float32[x+7]=f,this.float32[x+8]=h,this.uint8[b+36]=p,this.uint8[b+37]=d,this.uint8[b+38]=v,this.uint32[x+10]=g,this.int16[m+22]=y,t},e}(Ji);ha.prototype.bytesPerElement=48,ni(\"StructArrayLayout2i2ui3ul3ui2f3ub1ul1i48\",ha);var pa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l,u,c,f,h,p,d,v,g,y,m,x,b,_,w,T,k,A,M,S){var E=this.length;return this.resize(E+1),this.emplace(E,t,e,r,n,i,a,o,s,l,u,c,f,h,p,d,v,g,y,m,x,b,_,w,T,k,A,M,S)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,u,c,f,h,p,d,v,g,y,m,x,b,_,w,T,k,A,M,S,E){var L=34*t,C=17*t;return this.int16[L+0]=e,this.int16[L+1]=r,this.int16[L+2]=n,this.int16[L+3]=i,this.int16[L+4]=a,this.int16[L+5]=o,this.int16[L+6]=s,this.int16[L+7]=l,this.uint16[L+8]=u,this.uint16[L+9]=c,this.uint16[L+10]=f,this.uint16[L+11]=h,this.uint16[L+12]=p,this.uint16[L+13]=d,this.uint16[L+14]=v,this.uint16[L+15]=g,this.uint16[L+16]=y,this.uint16[L+17]=m,this.uint16[L+18]=x,this.uint16[L+19]=b,this.uint16[L+20]=_,this.uint16[L+21]=w,this.uint16[L+22]=T,this.uint32[C+12]=k,this.float32[C+13]=A,this.float32[C+14]=M,this.float32[C+15]=S,this.float32[C+16]=E,t},e}(Ji);pa.prototype.bytesPerElement=68,ni(\"StructArrayLayout8i15ui1ul4f68\",pa);var da=function(t){function e(){t.apply(this,arguments)}return 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this.float32[a+0]=e,this.float32[a+1]=r,this.float32[a+2]=n,this.float32[a+3]=i,t},e}(Ji);ba.prototype.bytesPerElement=16,ni(\"StructArrayLayout4f16\",ba);var _a=function(t){function e(){t.apply(this,arguments)}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var r={anchorPointX:{configurable:!0},anchorPointY:{configurable:!0},x1:{configurable:!0},y1:{configurable:!0},x2:{configurable:!0},y2:{configurable:!0},featureIndex:{configurable:!0},sourceLayerIndex:{configurable:!0},bucketIndex:{configurable:!0},anchorPoint:{configurable:!0}};return r.anchorPointX.get=function(){return this._structArray.int16[this._pos2+0]},r.anchorPointY.get=function(){return this._structArray.int16[this._pos2+1]},r.x1.get=function(){return this._structArray.int16[this._pos2+2]},r.y1.get=function(){return this._structArray.int16[this._pos2+3]},r.x2.get=function(){return this._structArray.int16[this._pos2+4]},r.y2.get=function(){return 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this._structArray.uint32[this._pos4+10]},r.crossTileID.set=function(t){this._structArray.uint32[this._pos4+10]=t},r.associatedIconIndex.get=function(){return this._structArray.int16[this._pos2+22]},Object.defineProperties(e.prototype,r),e}(Xi);Ta.prototype.size=48;var ka=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.get=function(t){return new Ta(this,t)},e}(ha);ni(\"PlacedSymbolArray\",ka);var Aa=function(t){function e(){t.apply(this,arguments)}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var r={anchorX:{configurable:!0},anchorY:{configurable:!0},rightJustifiedTextSymbolIndex:{configurable:!0},centerJustifiedTextSymbolIndex:{configurable:!0},leftJustifiedTextSymbolIndex:{configurable:!0},verticalPlacedTextSymbolIndex:{configurable:!0},placedIconSymbolIndex:{configurable:!0},verticalPlacedIconSymbolIndex:{configurable:!0},key:{configurable:!0},textBoxStartIndex:{configurable:!0},textBoxEndIndex:{configurable:!0},verticalTextBoxStartIndex:{configurable:!0},verticalTextBoxEndIndex:{configurable:!0},iconBoxStartIndex:{configurable:!0},iconBoxEndIndex:{configurable:!0},verticalIconBoxStartIndex:{configurable:!0},verticalIconBoxEndIndex:{configurable:!0},featureIndex:{configurable:!0},numHorizontalGlyphVertices:{configurable:!0},numVerticalGlyphVertices:{configurable:!0},numIconVertices:{configurable:!0},numVerticalIconVertices:{configurable:!0},useRuntimeCollisionCircles:{configurable:!0},crossTileID:{configurable:!0},textBoxScale:{configurable:!0},textOffset0:{configurable:!0},textOffset1:{configurable:!0},collisionCircleDiameter:{configurable:!0}};return r.anchorX.get=function(){return this._structArray.int16[this._pos2+0]},r.anchorY.get=function(){return this._structArray.int16[this._pos2+1]},r.rightJustifiedTextSymbolIndex.get=function(){return this._structArray.int16[this._pos2+2]},r.centerJustifiedTextSymbolIndex.get=function(){return this._structArray.int16[this._pos2+3]},r.leftJustifiedTextSymbolIndex.get=function(){return this._structArray.int16[this._pos2+4]},r.verticalPlacedTextSymbolIndex.get=function(){return this._structArray.int16[this._pos2+5]},r.placedIconSymbolIndex.get=function(){return this._structArray.int16[this._pos2+6]},r.verticalPlacedIconSymbolIndex.get=function(){return this._structArray.int16[this._pos2+7]},r.key.get=function(){return this._structArray.uint16[this._pos2+8]},r.textBoxStartIndex.get=function(){return this._structArray.uint16[this._pos2+9]},r.textBoxEndIndex.get=function(){return this._structArray.uint16[this._pos2+10]},r.verticalTextBoxStartIndex.get=function(){return this._structArray.uint16[this._pos2+11]},r.verticalTextBoxEndIndex.get=function(){return this._structArray.uint16[this._pos2+12]},r.iconBoxStartIndex.get=function(){return this._structArray.uint16[this._pos2+13]},r.iconBoxEndIndex.get=function(){return this._structArray.uint16[this._pos2+14]},r.verticalIconBoxStartIndex.get=function(){return this._structArray.uint16[this._pos2+15]},r.verticalIconBoxEndIndex.get=function(){return this._structArray.uint16[this._pos2+16]},r.featureIndex.get=function(){return this._structArray.uint16[this._pos2+17]},r.numHorizontalGlyphVertices.get=function(){return this._structArray.uint16[this._pos2+18]},r.numVerticalGlyphVertices.get=function(){return this._structArray.uint16[this._pos2+19]},r.numIconVertices.get=function(){return this._structArray.uint16[this._pos2+20]},r.numVerticalIconVertices.get=function(){return this._structArray.uint16[this._pos2+21]},r.useRuntimeCollisionCircles.get=function(){return 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t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.set=function(t){this.current!==t&&(this.current=t,this.gl.uniform1i(this.location,t))},e}(Ga),Ya=function(t){function e(e,r){t.call(this,e,r),this.current=0}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.set=function(t){this.current!==t&&(this.current=t,this.gl.uniform1f(this.location,t))},e}(Ga),Wa=function(t){function e(e,r){t.call(this,e,r),this.current=[0,0]}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.set=function(t){t[0]===this.current[0]&&t[1]===this.current[1]||(this.current=t,this.gl.uniform2f(this.location,t[0],t[1]))},e}(Ga),Xa=function(t){function e(e,r){t.call(this,e,r),this.current=[0,0,0]}return 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Float32Array(16),Qa=function(t){function e(e,r){t.call(this,e,r),this.current=$a}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.set=function(t){if(t[12]!==this.current[12]||t[0]!==this.current[0])return this.current=t,void this.gl.uniformMatrix4fv(this.location,!1,t);for(var e=1;e<16;e++)if(t[e]!==this.current[e]){this.current=t,this.gl.uniformMatrix4fv(this.location,!1,t);break}},e}(Ga);function to(t){return[Ia(255*t.r,255*t.g),Ia(255*t.b,255*t.a)]}var eo=function(t,e,r){this.value=t,this.uniformNames=e.map((function(t){return\"u_\"+t})),this.type=r};eo.prototype.setUniform=function(t,e,r){t.set(r.constantOr(this.value))},eo.prototype.getBinding=function(t,e,r){return\"color\"===this.type?new Ka(t,e):new Ya(t,e)};var ro=function(t,e){this.uniformNames=e.map((function(t){return\"u_\"+t})),this.patternFrom=null,this.patternTo=null,this.pixelRatioFrom=1,this.pixelRatioTo=1};ro.prototype.setConstantPatternPositions=function(t,e){this.pixelRatioFrom=e.pixelRatio,this.pixelRatioTo=t.pixelRatio,this.patternFrom=e.tlbr,this.patternTo=t.tlbr},ro.prototype.setUniform=function(t,e,r,n){var i=\"u_pattern_to\"===n?this.patternTo:\"u_pattern_from\"===n?this.patternFrom:\"u_pixel_ratio_to\"===n?this.pixelRatioTo:\"u_pixel_ratio_from\"===n?this.pixelRatioFrom:null;i&&t.set(i)},ro.prototype.getBinding=function(t,e,r){return\"u_pattern\"===r.substr(0,9)?new Ja(t,e):new Ya(t,e)};var no=function(t,e,r,n){this.expression=t,this.type=r,this.maxValue=0,this.paintVertexAttributes=e.map((function(t){return{name:\"a_\"+t,type:\"Float32\",components:\"color\"===r?2:1,offset:0}})),this.paintVertexArray=new n};no.prototype.populatePaintArray=function(t,e,r,n,i){var a=this.paintVertexArray.length,o=this.expression.evaluate(new Pi(0),e,{},n,[],i);this.paintVertexArray.resize(t),this._setPaintValue(a,t,o)},no.prototype.updatePaintArray=function(t,e,r,n){var i=this.expression.evaluate({zoom:0},r,n);this._setPaintValue(t,e,i)},no.prototype._setPaintValue=function(t,e,r){if(\"color\"===this.type)for(var n=to(r),i=t;i<e;i++)this.paintVertexArray.emplace(i,n[0],n[1]);else{for(var a=t;a<e;a++)this.paintVertexArray.emplace(a,r);this.maxValue=Math.max(this.maxValue,Math.abs(r))}},no.prototype.upload=function(t){this.paintVertexArray&&this.paintVertexArray.arrayBuffer&&(this.paintVertexBuffer&&this.paintVertexBuffer.buffer?this.paintVertexBuffer.updateData(this.paintVertexArray):this.paintVertexBuffer=t.createVertexBuffer(this.paintVertexArray,this.paintVertexAttributes,this.expression.isStateDependent))},no.prototype.destroy=function(){this.paintVertexBuffer&&this.paintVertexBuffer.destroy()};var io=function(t,e,r,n,i,a){this.expression=t,this.uniformNames=e.map((function(t){return\"u_\"+t+\"_t\"})),this.type=r,this.useIntegerZoom=n,this.zoom=i,this.maxValue=0,this.paintVertexAttributes=e.map((function(t){return{name:\"a_\"+t,type:\"Float32\",components:\"color\"===r?4:2,offset:0}})),this.paintVertexArray=new a};io.prototype.populatePaintArray=function(t,e,r,n,i){var a=this.expression.evaluate(new Pi(this.zoom),e,{},n,[],i),o=this.expression.evaluate(new Pi(this.zoom+1),e,{},n,[],i),s=this.paintVertexArray.length;this.paintVertexArray.resize(t),this._setPaintValue(s,t,a,o)},io.prototype.updatePaintArray=function(t,e,r,n){var i=this.expression.evaluate({zoom:this.zoom},r,n),a=this.expression.evaluate({zoom:this.zoom+1},r,n);this._setPaintValue(t,e,i,a)},io.prototype._setPaintValue=function(t,e,r,n){if(\"color\"===this.type)for(var i=to(r),a=to(n),o=t;o<e;o++)this.paintVertexArray.emplace(o,i[0],i[1],a[0],a[1]);else{for(var s=t;s<e;s++)this.paintVertexArray.emplace(s,r,n);this.maxValue=Math.max(this.maxValue,Math.abs(r),Math.abs(n))}},io.prototype.upload=function(t){this.paintVertexArray&&this.paintVertexArray.arrayBuffer&&(this.paintVertexBuffer&&this.paintVertexBuffer.buffer?this.paintVertexBuffer.updateData(this.paintVertexArray):this.paintVertexBuffer=t.createVertexBuffer(this.paintVertexArray,this.paintVertexAttributes,this.expression.isStateDependent))},io.prototype.destroy=function(){this.paintVertexBuffer&&this.paintVertexBuffer.destroy()},io.prototype.setUniform=function(t,e){var r=this.useIntegerZoom?Math.floor(e.zoom):e.zoom,n=u(this.expression.interpolationFactor(r,this.zoom,this.zoom+1),0,1);t.set(n)},io.prototype.getBinding=function(t,e,r){return new Ya(t,e)};var ao=function(t,e,r,n,i,a){this.expression=t,this.type=e,this.useIntegerZoom=r,this.zoom=n,this.layerId=a,this.zoomInPaintVertexArray=new i,this.zoomOutPaintVertexArray=new i};ao.prototype.populatePaintArray=function(t,e,r){var n=this.zoomInPaintVertexArray.length;this.zoomInPaintVertexArray.resize(t),this.zoomOutPaintVertexArray.resize(t),this._setPaintValues(n,t,e.patterns&&e.patterns[this.layerId],r)},ao.prototype.updatePaintArray=function(t,e,r,n,i){this._setPaintValues(t,e,r.patterns&&r.patterns[this.layerId],i)},ao.prototype._setPaintValues=function(t,e,r,n){if(n&&r){var i=r.min,a=r.mid,o=r.max,s=n[i],l=n[a],u=n[o];if(s&&l&&u)for(var c=t;c<e;c++)this.zoomInPaintVertexArray.emplace(c,l.tl[0],l.tl[1],l.br[0],l.br[1],s.tl[0],s.tl[1],s.br[0],s.br[1],l.pixelRatio,s.pixelRatio),this.zoomOutPaintVertexArray.emplace(c,l.tl[0],l.tl[1],l.br[0],l.br[1],u.tl[0],u.tl[1],u.br[0],u.br[1],l.pixelRatio,u.pixelRatio)}},ao.prototype.upload=function(t){this.zoomInPaintVertexArray&&this.zoomInPaintVertexArray.arrayBuffer&&this.zoomOutPaintVertexArray&&this.zoomOutPaintVertexArray.arrayBuffer&&(this.zoomInPaintVertexBuffer=t.createVertexBuffer(this.zoomInPaintVertexArray,Da.members,this.expression.isStateDependent),this.zoomOutPaintVertexBuffer=t.createVertexBuffer(this.zoomOutPaintVertexArray,Da.members,this.expression.isStateDependent))},ao.prototype.destroy=function(){this.zoomOutPaintVertexBuffer&&this.zoomOutPaintVertexBuffer.destroy(),this.zoomInPaintVertexBuffer&&this.zoomInPaintVertexBuffer.destroy()};var oo=function(t,e,r,n){this.binders={},this.layoutAttributes=n,this._buffers=[];var i=[];for(var a in t.paint._values)if(r(a)){var o=t.paint.get(a);if(o instanceof Bi&&Yr(o.property.specification)){var s=lo(a,t.type),l=o.value,u=o.property.specification.type,c=o.property.useIntegerZoom,f=o.property.specification[\"property-type\"],h=\"cross-faded\"===f||\"cross-faded-data-driven\"===f;if(\"constant\"===l.kind)this.binders[a]=h?new ro(l.value,s):new eo(l.value,s,u),i.push(\"/u_\"+a);else if(\"source\"===l.kind||h){var p=uo(a,u,\"source\");this.binders[a]=h?new ao(l,u,c,e,p,t.id):new no(l,s,u,p),i.push(\"/a_\"+a)}else{var d=uo(a,u,\"composite\");this.binders[a]=new io(l,s,u,c,e,d),i.push(\"/z_\"+a)}}}this.cacheKey=i.sort().join(\"\")};oo.prototype.getMaxValue=function(t){var e=this.binders[t];return e instanceof no||e instanceof io?e.maxValue:0},oo.prototype.populatePaintArrays=function(t,e,r,n,i){for(var a in this.binders){var o=this.binders[a];(o instanceof no||o instanceof io||o instanceof ao)&&o.populatePaintArray(t,e,r,n,i)}},oo.prototype.setConstantPatternPositions=function(t,e){for(var r in this.binders){var n=this.binders[r];n instanceof ro&&n.setConstantPatternPositions(t,e)}},oo.prototype.updatePaintArrays=function(t,e,r,n,i){var a=!1;for(var o in t)for(var s=0,l=e.getPositions(o);s<l.length;s+=1){var u=l[s],c=r.feature(u.index);for(var f in this.binders){var h=this.binders[f];if((h instanceof no||h instanceof io||h instanceof ao)&&!0===h.expression.isStateDependent){var p=n.paint.get(f);h.expression=p.value,h.updatePaintArray(u.start,u.end,c,t[o],i),a=!0}}}return a},oo.prototype.defines=function(){var t=[];for(var e in this.binders){var r=this.binders[e];(r instanceof eo||r instanceof ro)&&t.push.apply(t,r.uniformNames.map((function(t){return\"#define HAS_UNIFORM_\"+t})))}return t},oo.prototype.getPaintVertexBuffers=function(){return this._buffers},oo.prototype.getUniforms=function(t,e){var r=[];for(var n in this.binders){var i=this.binders[n];if(i instanceof eo||i instanceof ro||i instanceof io)for(var a=0,o=i.uniformNames;a<o.length;a+=1){var s=o[a];if(e[s]){var l=i.getBinding(t,e[s],s);r.push({name:s,property:n,binding:l})}}}return r},oo.prototype.setUniforms=function(t,e,r,n){for(var i=0,a=e;i<a.length;i+=1){var o=a[i],s=o.name,l=o.property,u=o.binding;this.binders[l].setUniform(u,n,r.get(l),s)}},oo.prototype.updatePaintBuffers=function(t){for(var e in this._buffers=[],this.binders){var r=this.binders[e];if(t&&r instanceof ao){var n=2===t.fromScale?r.zoomInPaintVertexBuffer:r.zoomOutPaintVertexBuffer;n&&this._buffers.push(n)}else(r instanceof no||r instanceof io)&&r.paintVertexBuffer&&this._buffers.push(r.paintVertexBuffer)}},oo.prototype.upload=function(t){for(var e in this.binders){var r=this.binders[e];(r instanceof no||r instanceof io||r instanceof ao)&&r.upload(t)}this.updatePaintBuffers()},oo.prototype.destroy=function(){for(var t in this.binders){var e=this.binders[t];(e instanceof no||e instanceof io||e instanceof ao)&&e.destroy()}};var so=function(t,e,r,n){void 0===n&&(n=function(){return!0}),this.programConfigurations={};for(var i=0,a=e;i<a.length;i+=1){var o=a[i];this.programConfigurations[o.id]=new oo(o,r,n,t)}this.needsUpload=!1,this._featureMap=new ja,this._bufferOffset=0};function lo(t,e){return{\"text-opacity\":[\"opacity\"],\"icon-opacity\":[\"opacity\"],\"text-color\":[\"fill_color\"],\"icon-color\":[\"fill_color\"],\"text-halo-color\":[\"halo_color\"],\"icon-halo-color\":[\"halo_color\"],\"text-halo-blur\":[\"halo_blur\"],\"icon-halo-blur\":[\"halo_blur\"],\"text-halo-width\":[\"halo_width\"],\"icon-halo-width\":[\"halo_width\"],\"line-gap-width\":[\"gapwidth\"],\"line-pattern\":[\"pattern_to\",\"pattern_from\",\"pixel_ratio_to\",\"pixel_ratio_from\"],\"fill-pattern\":[\"pattern_to\",\"pattern_from\",\"pixel_ratio_to\",\"pixel_ratio_from\"],\"fill-extrusion-pattern\":[\"pattern_to\",\"pattern_from\",\"pixel_ratio_to\",\"pixel_ratio_from\"]}[t]||[t.replace(e+\"-\",\"\").replace(/-/g,\"_\")]}function uo(t,e,r){var n={color:{source:xa,composite:ba},number:{source:da,composite:xa}},i=function(t){return{\"line-pattern\":{source:na,composite:na},\"fill-pattern\":{source:na,composite:na},\"fill-extrusion-pattern\":{source:na,composite:na}}[t]}(t);return i&&i[r]||n[e][r]}so.prototype.populatePaintArrays=function(t,e,r,n,i,a){for(var o in this.programConfigurations)this.programConfigurations[o].populatePaintArrays(t,e,n,i,a);void 0!==e.id&&this._featureMap.add(e.id,r,this._bufferOffset,t),this._bufferOffset=t,this.needsUpload=!0},so.prototype.updatePaintArrays=function(t,e,r,n){for(var i=0,a=r;i<a.length;i+=1){var o=a[i];this.needsUpload=this.programConfigurations[o.id].updatePaintArrays(t,this._featureMap,e,o,n)||this.needsUpload}},so.prototype.get=function(t){return this.programConfigurations[t]},so.prototype.upload=function(t){if(this.needsUpload){for(var e in this.programConfigurations)this.programConfigurations[e].upload(t);this.needsUpload=!1}},so.prototype.destroy=function(){for(var t in this.programConfigurations)this.programConfigurations[t].destroy()},ni(\"ConstantBinder\",eo),ni(\"CrossFadedConstantBinder\",ro),ni(\"SourceExpressionBinder\",no),ni(\"CrossFadedCompositeBinder\",ao),ni(\"CompositeExpressionBinder\",io),ni(\"ProgramConfiguration\",oo,{omit:[\"_buffers\"]}),ni(\"ProgramConfigurationSet\",so);var co=8192;var fo,ho=(fo=15,{min:-1*Math.pow(2,fo-1),max:Math.pow(2,fo-1)-1});function po(t){for(var e=co/t.extent,r=t.loadGeometry(),n=0;n<r.length;n++)for(var i=r[n],a=0;a<i.length;a++){var o=i[a];o.x=Math.round(o.x*e),o.y=Math.round(o.y*e),(o.x<ho.min||o.x>ho.max||o.y<ho.min||o.y>ho.max)&&(w(\"Geometry exceeds allowed extent, reduce your vector tile buffer size\"),o.x=u(o.x,ho.min,ho.max),o.y=u(o.y,ho.min,ho.max))}return r}function vo(t,e,r,n,i){t.emplaceBack(2*e+(n+1)/2,2*r+(i+1)/2)}var go=function(t){this.zoom=t.zoom,this.overscaling=t.overscaling,this.layers=t.layers,this.layerIds=this.layers.map((function(t){return t.id})),this.index=t.index,this.hasPattern=!1,this.layoutVertexArray=new Qi,this.indexArray=new fa,this.segments=new Oa,this.programConfigurations=new so(Pa,t.layers,t.zoom),this.stateDependentLayerIds=this.layers.filter((function(t){return t.isStateDependent()})).map((function(t){return t.id}))};function yo(t,e){for(var r=0;r<t.length;r++)if(Mo(e,t[r]))return!0;for(var n=0;n<e.length;n++)if(Mo(t,e[n]))return!0;return!!_o(t,e)}function mo(t,e,r){return!!Mo(t,e)||!!To(e,t,r)}function xo(t,e){if(1===t.length)return Ao(e,t[0]);for(var r=0;r<e.length;r++)for(var n=e[r],i=0;i<n.length;i++)if(Mo(t,n[i]))return!0;for(var a=0;a<t.length;a++)if(Ao(e,t[a]))return!0;for(var o=0;o<e.length;o++)if(_o(t,e[o]))return!0;return!1}function bo(t,e,r){if(t.length>1){if(_o(t,e))return!0;for(var n=0;n<e.length;n++)if(To(e[n],t,r))return!0}for(var i=0;i<t.length;i++)if(To(t[i],e,r))return!0;return!1}function _o(t,e){if(0===t.length||0===e.length)return!1;for(var r=0;r<t.length-1;r++)for(var 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n=t.readVarint()>>3;e=1===n?t.readString():2===n?t.readFloat():3===n?t.readDouble():4===n?t.readVarint64():5===n?t.readVarint():6===n?t.readSVarint():7===n?t.readBoolean():null}return e}(r))}function Xs(t,e,r){if(3===t){var n=new Zs(r,r.readVarint()+r.pos);n.length&&(e[n.name]=n)}}Ys.prototype.feature=function(t){if(t<0||t>=this._features.length)throw new Error(\"feature index out of bounds\");this._pbf.pos=this._features[t];var e=this._pbf.readVarint()+this._pbf.pos;return new Vs(this._pbf,e,this.extent,this._keys,this._values)};var Js={VectorTile:function(t,e){this.layers=t.readFields(Xs,{},e)},VectorTileFeature:Vs,VectorTileLayer:Zs},Ks=Js.VectorTileFeature.types,$s=Math.pow(2,13);function Qs(t,e,r,n,i,a,o,s){t.emplaceBack(e,r,2*Math.floor(n*$s)+o,i*$s*2,a*$s*2,Math.round(s))}var tl=function(t){this.zoom=t.zoom,this.overscaling=t.overscaling,this.layers=t.layers,this.layerIds=this.layers.map((function(t){return t.id})),this.index=t.index,this.hasPattern=!1,this.layoutVertexArray=new ea,this.indexArray=new fa,this.programConfigurations=new so(Us,t.layers,t.zoom),this.segments=new Oa,this.stateDependentLayerIds=this.layers.filter((function(t){return t.isStateDependent()})).map((function(t){return t.id}))};function el(t,e){return t.x===e.x&&(t.x<0||t.x>co)||t.y===e.y&&(t.y<0||t.y>co)}tl.prototype.populate=function(t,e,r){this.features=[],this.hasPattern=zs(\"fill-extrusion\",this.layers,e);for(var n=0,i=t;n<i.length;n+=1){var a=i[n],o=a.feature,s=a.id,l=a.index,u=a.sourceLayerIndex,c=this.layers[0]._featureFilter.needGeometry,f={type:o.type,id:s,properties:o.properties,geometry:c?po(o):[]};if(this.layers[0]._featureFilter.filter(new Pi(this.zoom),f,r)){var h={id:s,sourceLayerIndex:u,index:l,geometry:c?f.geometry:po(o),properties:o.properties,type:o.type,patterns:{}};void 0!==o.id&&(h.id=o.id),this.hasPattern?this.features.push(Rs(\"fill-extrusion\",this.layers,h,this.zoom,e)):this.addFeature(h,h.geometry,l,r,{}),e.featureIndex.insert(o,h.geometry,l,u,this.index,!0)}}},tl.prototype.addFeatures=function(t,e,r){for(var n=0,i=this.features;n<i.length;n+=1){var a=i[n],o=a.geometry;this.addFeature(a,o,a.index,e,r)}},tl.prototype.update=function(t,e,r){this.stateDependentLayers.length&&this.programConfigurations.updatePaintArrays(t,e,this.stateDependentLayers,r)},tl.prototype.isEmpty=function(){return 0===this.layoutVertexArray.length},tl.prototype.uploadPending=function(){return!this.uploaded||this.programConfigurations.needsUpload},tl.prototype.upload=function(t){this.uploaded||(this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,Us),this.indexBuffer=t.createIndexBuffer(this.indexArray)),this.programConfigurations.upload(t),this.uploaded=!0},tl.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy())},tl.prototype.addFeature=function(t,e,r,n,i){for(var a=0,o=Is(e,500);a<o.length;a+=1){for(var s=o[a],l=0,u=0,c=s;u<c.length;u+=1)l+=c[u].length;for(var f=this.segments.prepareSegment(4,this.layoutVertexArray,this.indexArray),h=0,p=s;h<p.length;h+=1){var d=p[h];if(0!==d.length&&!((O=d).every((function(t){return t.x<0}))||O.every((function(t){return t.x>co}))||O.every((function(t){return t.y<0}))||O.every((function(t){return t.y>co}))))for(var v=0,g=0;g<d.length;g++){var y=d[g];if(g>=1){var m=d[g-1];if(!el(y,m)){f.vertexLength+4>Oa.MAX_VERTEX_ARRAY_LENGTH&&(f=this.segments.prepareSegment(4,this.layoutVertexArray,this.indexArray));var x=y.sub(m)._perp()._unit(),b=m.dist(y);v+b>32768&&(v=0),Qs(this.layoutVertexArray,y.x,y.y,x.x,x.y,0,0,v),Qs(this.layoutVertexArray,y.x,y.y,x.x,x.y,0,1,v),v+=b,Qs(this.layoutVertexArray,m.x,m.y,x.x,x.y,0,0,v),Qs(this.layoutVertexArray,m.x,m.y,x.x,x.y,0,1,v);var _=f.vertexLength;this.indexArray.emplaceBack(_,_+2,_+1),this.indexArray.emplaceBack(_+1,_+2,_+3),f.vertexLength+=4,f.primitiveLength+=2}}}}if(f.vertexLength+l>Oa.MAX_VERTEX_ARRAY_LENGTH&&(f=this.segments.prepareSegment(l,this.layoutVertexArray,this.indexArray)),\"Polygon\"===Ks[t.type]){for(var w=[],T=[],k=f.vertexLength,A=0,M=s;A<M.length;A+=1){var S=M[A];if(0!==S.length){S!==s[0]&&T.push(w.length/2);for(var E=0;E<S.length;E++){var L=S[E];Qs(this.layoutVertexArray,L.x,L.y,0,0,1,1,0),w.push(L.x),w.push(L.y)}}}for(var C=es(w,T),P=0;P<C.length;P+=3)this.indexArray.emplaceBack(k+C[P],k+C[P+2],k+C[P+1]);f.primitiveLength+=C.length/3,f.vertexLength+=l}}var O;this.programConfigurations.populatePaintArrays(this.layoutVertexArray.length,t,r,i,n)},ni(\"FillExtrusionBucket\",tl,{omit:[\"layers\",\"features\"]});var rl={paint:new Gi({\"fill-extrusion-opacity\":new ji(Dt[\"paint_fill-extrusion\"][\"fill-extrusion-opacity\"]),\"fill-extrusion-color\":new Ui(Dt[\"paint_fill-extrusion\"][\"fill-extrusion-color\"]),\"fill-extrusion-translate\":new ji(Dt[\"paint_fill-extrusion\"][\"fill-extrusion-translate\"]),\"fill-extrusion-translate-anchor\":new ji(Dt[\"paint_fill-extrusion\"][\"fill-extrusion-translate-anchor\"]),\"fill-extrusion-pattern\":new Vi(Dt[\"paint_fill-extrusion\"][\"fill-extrusion-pattern\"]),\"fill-extrusion-height\":new Ui(Dt[\"paint_fill-extrusion\"][\"fill-extrusion-height\"]),\"fill-extrusion-base\":new Ui(Dt[\"paint_fill-extrusion\"][\"fill-extrusion-base\"]),\"fill-extrusion-vertical-gradient\":new ji(Dt[\"paint_fill-extrusion\"][\"fill-extrusion-vertical-gradient\"])})},nl=function(t){function e(e){t.call(this,e,rl)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.createBucket=function(t){return new tl(t)},e.prototype.queryRadius=function(){return Lo(this.paint.get(\"fill-extrusion-translate\"))},e.prototype.is3D=function(){return!0},e.prototype.queryIntersectsFeature=function(t,e,r,n,i,o,s,l){var u=Co(t,this.paint.get(\"fill-extrusion-translate\"),this.paint.get(\"fill-extrusion-translate-anchor\"),o.angle,s),c=this.paint.get(\"fill-extrusion-height\").evaluate(e,r),f=this.paint.get(\"fill-extrusion-base\").evaluate(e,r),h=function(t,e,r,n){for(var i=[],o=0,s=t;o<s.length;o+=1){var l=s[o],u=[l.x,l.y,n,1];No(u,u,e),i.push(new a(u[0]/u[3],u[1]/u[3]))}return i}(u,l,0,0),p=function(t,e,r,n){for(var i=[],o=[],s=n[8]*e,l=n[9]*e,u=n[10]*e,c=n[11]*e,f=n[8]*r,h=n[9]*r,p=n[10]*r,d=n[11]*r,v=0,g=t;v<g.length;v+=1){for(var y=[],m=[],x=0,b=g[v];x<b.length;x+=1){var _=b[x],w=_.x,T=_.y,k=n[0]*w+n[4]*T+n[12],A=n[1]*w+n[5]*T+n[13],M=n[2]*w+n[6]*T+n[14],S=n[3]*w+n[7]*T+n[15],E=M+u,L=S+c,C=k+f,P=A+h,O=M+p,I=S+d,D=new a((k+s)/L,(A+l)/L);D.z=E/L,y.push(D);var z=new a(C/I,P/I);z.z=O/I,m.push(z)}i.push(y),o.push(m)}return[i,o]}(n,f,c,l);return function(t,e,r){var n=1/0;xo(r,e)&&(n=al(r,e[0]));for(var i=0;i<e.length;i++)for(var a=e[i],o=t[i],s=0;s<a.length-1;s++){var l=a[s],u=a[s+1],c=o[s],f=[l,u,o[s+1],c,l];yo(r,f)&&(n=Math.min(n,al(r,f)))}return n!==1/0&&n}(p[0],p[1],h)},e}(Yi);function il(t,e){return t.x*e.x+t.y*e.y}function al(t,e){if(1===t.length){for(var r,n=0,i=e[n++];!r||i.equals(r);)if(!(r=e[n++]))return 1/0;for(;n<e.length;n++){var a=e[n],o=t[0],s=r.sub(i),l=a.sub(i),u=o.sub(i),c=il(s,s),f=il(s,l),h=il(l,l),p=il(u,s),d=il(u,l),v=c*h-f*f,g=(h*p-f*d)/v,y=(c*d-f*p)/v,m=1-g-y,x=i.z*m+r.z*g+a.z*y;if(isFinite(x))return x}return 1/0}for(var b=1/0,_=0,w=e;_<w.length;_+=1){var T=w[_];b=Math.min(b,T.z)}return b}var ol=Ki([{name:\"a_pos_normal\",components:2,type:\"Int16\"},{name:\"a_data\",components:4,type:\"Uint8\"}],4).members,sl=Js.VectorTileFeature.types,ll=Math.cos(Math.PI/180*37.5),ul=Math.pow(2,14)/.5,cl=function(t){this.zoom=t.zoom,this.overscaling=t.overscaling,this.layers=t.layers,this.layerIds=this.layers.map((function(t){return t.id})),this.index=t.index,this.hasPattern=!1,this.patternFeatures=[],this.layoutVertexArray=new ra,this.indexArray=new fa,this.programConfigurations=new so(ol,t.layers,t.zoom),this.segments=new Oa,this.stateDependentLayerIds=this.layers.filter((function(t){return t.isStateDependent()})).map((function(t){return t.id}))};cl.prototype.populate=function(t,e,r){this.hasPattern=zs(\"line\",this.layers,e);for(var n=this.layers[0].layout.get(\"line-sort-key\"),i=[],a=0,o=t;a<o.length;a+=1){var s=o[a],l=s.feature,u=s.id,c=s.index,f=s.sourceLayerIndex,h=this.layers[0]._featureFilter.needGeometry,p={type:l.type,id:u,properties:l.properties,geometry:h?po(l):[]};if(this.layers[0]._featureFilter.filter(new Pi(this.zoom),p,r)){h||(p.geometry=po(l));var d=n?n.evaluate(p,{},r):void 0,v={id:u,properties:l.properties,type:l.type,sourceLayerIndex:f,index:c,geometry:p.geometry,patterns:{},sortKey:d};i.push(v)}}n&&i.sort((function(t,e){return t.sortKey-e.sortKey}));for(var g=0,y=i;g<y.length;g+=1){var m=y[g],x=m,b=x.geometry,_=x.index,w=x.sourceLayerIndex;if(this.hasPattern){var T=Rs(\"line\",this.layers,m,this.zoom,e);this.patternFeatures.push(T)}else this.addFeature(m,b,_,r,{});var k=t[_].feature;e.featureIndex.insert(k,b,_,w,this.index)}},cl.prototype.update=function(t,e,r){this.stateDependentLayers.length&&this.programConfigurations.updatePaintArrays(t,e,this.stateDependentLayers,r)},cl.prototype.addFeatures=function(t,e,r){for(var n=0,i=this.patternFeatures;n<i.length;n+=1){var a=i[n];this.addFeature(a,a.geometry,a.index,e,r)}},cl.prototype.isEmpty=function(){return 0===this.layoutVertexArray.length},cl.prototype.uploadPending=function(){return!this.uploaded||this.programConfigurations.needsUpload},cl.prototype.upload=function(t){this.uploaded||(this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,ol),this.indexBuffer=t.createIndexBuffer(this.indexArray)),this.programConfigurations.upload(t),this.uploaded=!0},cl.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy())},cl.prototype.addFeature=function(t,e,r,n,i){for(var a=this.layers[0].layout,o=a.get(\"line-join\").evaluate(t,{}),s=a.get(\"line-cap\"),l=a.get(\"line-miter-limit\"),u=a.get(\"line-round-limit\"),c=0,f=e;c<f.length;c+=1){var h=f[c];this.addLine(h,t,o,s,l,u)}this.programConfigurations.populatePaintArrays(this.layoutVertexArray.length,t,r,i,n)},cl.prototype.addLine=function(t,e,r,n,i,a){if(this.distance=0,this.scaledDistance=0,this.totalDistance=0,e.properties&&e.properties.hasOwnProperty(\"mapbox_clip_start\")&&e.properties.hasOwnProperty(\"mapbox_clip_end\")){this.clipStart=+e.properties.mapbox_clip_start,this.clipEnd=+e.properties.mapbox_clip_end;for(var o=0;o<t.length-1;o++)this.totalDistance+=t[o].dist(t[o+1]);this.updateScaledDistance()}for(var s=\"Polygon\"===sl[e.type],l=t.length;l>=2&&t[l-1].equals(t[l-2]);)l--;for(var u=0;u<l-1&&t[u].equals(t[u+1]);)u++;if(!(l<(s?3:2))){\"bevel\"===r&&(i=1.05);var c,f=this.overscaling<=16?15*co/(512*this.overscaling):0,h=this.segments.prepareSegment(10*l,this.layoutVertexArray,this.indexArray),p=void 0,d=void 0,v=void 0,g=void 0;this.e1=this.e2=-1,s&&(c=t[l-2],g=t[u].sub(c)._unit()._perp());for(var y=u;y<l;y++)if(!(d=y===l-1?s?t[u+1]:void 0:t[y+1])||!t[y].equals(d)){g&&(v=g),c&&(p=c),c=t[y],g=d?d.sub(c)._unit()._perp():v;var m=(v=v||g).add(g);0===m.x&&0===m.y||m._unit();var x=v.x*g.x+v.y*g.y,b=m.x*g.x+m.y*g.y,_=0!==b?1/b:1/0,w=2*Math.sqrt(2-2*b),T=b<ll&&p&&d,k=v.x*g.y-v.y*g.x>0;if(T&&y>u){var A=c.dist(p);if(A>2*f){var M=c.sub(c.sub(p)._mult(f/A)._round());this.updateDistance(p,M),this.addCurrentVertex(M,v,0,0,h),p=M}}var S=p&&d,E=S?r:s?\"butt\":n;if(S&&\"round\"===E&&(_<a?E=\"miter\":_<=2&&(E=\"fakeround\")),\"miter\"===E&&_>i&&(E=\"bevel\"),\"bevel\"===E&&(_>2&&(E=\"flipbevel\"),_<i&&(E=\"miter\")),p&&this.updateDistance(p,c),\"miter\"===E)m._mult(_),this.addCurrentVertex(c,m,0,0,h);else if(\"flipbevel\"===E){if(_>100)m=g.mult(-1);else{var L=_*v.add(g).mag()/v.sub(g).mag();m._perp()._mult(L*(k?-1:1))}this.addCurrentVertex(c,m,0,0,h),this.addCurrentVertex(c,m.mult(-1),0,0,h)}else if(\"bevel\"===E||\"fakeround\"===E){var C=-Math.sqrt(_*_-1),P=k?C:0,O=k?0:C;if(p&&this.addCurrentVertex(c,v,P,O,h),\"fakeround\"===E)for(var I=Math.round(180*w/Math.PI/20),D=1;D<I;D++){var z=D/I;if(.5!==z){var R=z-.5;z+=z*R*(z-1)*((1.0904+x*(x*(3.55645-1.43519*x)-3.2452))*R*R+(.848013+x*(.215638*x-1.06021)))}var F=g.sub(v)._mult(z)._add(v)._unit()._mult(k?-1:1);this.addHalfVertex(c,F.x,F.y,!1,k,0,h)}d&&this.addCurrentVertex(c,g,-P,-O,h)}else if(\"butt\"===E)this.addCurrentVertex(c,m,0,0,h);else if(\"square\"===E){var B=p?1:-1;this.addCurrentVertex(c,m,B,B,h)}else\"round\"===E&&(p&&(this.addCurrentVertex(c,v,0,0,h),this.addCurrentVertex(c,v,1,1,h,!0)),d&&(this.addCurrentVertex(c,g,-1,-1,h,!0),this.addCurrentVertex(c,g,0,0,h)));if(T&&y<l-1){var N=c.dist(d);if(N>2*f){var j=c.add(d.sub(c)._mult(f/N)._round());this.updateDistance(c,j),this.addCurrentVertex(j,g,0,0,h),c=j}}}}},cl.prototype.addCurrentVertex=function(t,e,r,n,i,a){void 0===a&&(a=!1);var o=e.x+e.y*r,s=e.y-e.x*r,l=-e.x+e.y*n,u=-e.y-e.x*n;this.addHalfVertex(t,o,s,a,!1,r,i),this.addHalfVertex(t,l,u,a,!0,-n,i),this.distance>ul/2&&0===this.totalDistance&&(this.distance=0,this.addCurrentVertex(t,e,r,n,i,a))},cl.prototype.addHalfVertex=function(t,e,r,n,i,a,o){var s=t.x,l=t.y,u=.5*this.scaledDistance;this.layoutVertexArray.emplaceBack((s<<1)+(n?1:0),(l<<1)+(i?1:0),Math.round(63*e)+128,Math.round(63*r)+128,1+(0===a?0:a<0?-1:1)|(63&u)<<2,u>>6);var c=o.vertexLength++;this.e1>=0&&this.e2>=0&&(this.indexArray.emplaceBack(this.e1,this.e2,c),o.primitiveLength++),i?this.e2=c:this.e1=c},cl.prototype.updateScaledDistance=function(){this.scaledDistance=this.totalDistance>0?(this.clipStart+(this.clipEnd-this.clipStart)*this.distance/this.totalDistance)*(ul-1):this.distance},cl.prototype.updateDistance=function(t,e){this.distance+=t.dist(e),this.updateScaledDistance()},ni(\"LineBucket\",cl,{omit:[\"layers\",\"patternFeatures\"]});var fl=new Gi({\"line-cap\":new ji(Dt.layout_line[\"line-cap\"]),\"line-join\":new Ui(Dt.layout_line[\"line-join\"]),\"line-miter-limit\":new ji(Dt.layout_line[\"line-miter-limit\"]),\"line-round-limit\":new ji(Dt.layout_line[\"line-round-limit\"]),\"line-sort-key\":new Ui(Dt.layout_line[\"line-sort-key\"])}),hl={paint:new Gi({\"line-opacity\":new Ui(Dt.paint_line[\"line-opacity\"]),\"line-color\":new Ui(Dt.paint_line[\"line-color\"]),\"line-translate\":new ji(Dt.paint_line[\"line-translate\"]),\"line-translate-anchor\":new ji(Dt.paint_line[\"line-translate-anchor\"]),\"line-width\":new Ui(Dt.paint_line[\"line-width\"]),\"line-gap-width\":new Ui(Dt.paint_line[\"line-gap-width\"]),\"line-offset\":new Ui(Dt.paint_line[\"line-offset\"]),\"line-blur\":new Ui(Dt.paint_line[\"line-blur\"]),\"line-dasharray\":new Hi(Dt.paint_line[\"line-dasharray\"]),\"line-pattern\":new Vi(Dt.paint_line[\"line-pattern\"]),\"line-gradient\":new qi(Dt.paint_line[\"line-gradient\"])}),layout:fl},pl=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.possiblyEvaluate=function(e,r){return r=new Pi(Math.floor(r.zoom),{now:r.now,fadeDuration:r.fadeDuration,zoomHistory:r.zoomHistory,transition:r.transition}),t.prototype.possiblyEvaluate.call(this,e,r)},e.prototype.evaluate=function(e,r,n,i){return r=f({},r,{zoom:Math.floor(r.zoom)}),t.prototype.evaluate.call(this,e,r,n,i)},e}(Ui),dl=new pl(hl.paint.properties[\"line-width\"].specification);dl.useIntegerZoom=!0;var vl=function(t){function e(e){t.call(this,e,hl)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._handleSpecialPaintPropertyUpdate=function(t){\"line-gradient\"===t&&this._updateGradient()},e.prototype._updateGradient=function(){var t=this._transitionablePaint._values[\"line-gradient\"].value.expression;this.gradient=Jo(t,\"lineProgress\"),this.gradientTexture=null},e.prototype.recalculate=function(e,r){t.prototype.recalculate.call(this,e,r),this.paint._values[\"line-floorwidth\"]=dl.possiblyEvaluate(this._transitioningPaint._values[\"line-width\"].value,e)},e.prototype.createBucket=function(t){return new cl(t)},e.prototype.queryRadius=function(t){var e=t,r=gl(Eo(\"line-width\",this,e),Eo(\"line-gap-width\",this,e)),n=Eo(\"line-offset\",this,e);return r/2+Math.abs(n)+Lo(this.paint.get(\"line-translate\"))},e.prototype.queryIntersectsFeature=function(t,e,r,n,i,o,s){var l=Co(t,this.paint.get(\"line-translate\"),this.paint.get(\"line-translate-anchor\"),o.angle,s),u=s/2*gl(this.paint.get(\"line-width\").evaluate(e,r),this.paint.get(\"line-gap-width\").evaluate(e,r)),c=this.paint.get(\"line-offset\").evaluate(e,r);return c&&(n=function(t,e){for(var r=[],n=new a(0,0),i=0;i<t.length;i++){for(var o=t[i],s=[],l=0;l<o.length;l++){var u=o[l-1],c=o[l],f=o[l+1],h=0===l?n:c.sub(u)._unit()._perp(),p=l===o.length-1?n:f.sub(c)._unit()._perp(),d=h._add(p)._unit(),v=d.x*p.x+d.y*p.y;d._mult(1/v),s.push(d._mult(e)._add(c))}r.push(s)}return r}(n,c*s)),function(t,e,r){for(var n=0;n<e.length;n++){var i=e[n];if(t.length>=3)for(var a=0;a<i.length;a++)if(Mo(t,i[a]))return!0;if(bo(t,i,r))return!0}return!1}(l,n,u)},e.prototype.isTileClipped=function(){return!0},e}(Yi);function gl(t,e){return e>0?e+2*t:t}var 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Yl=3;function Wl(t,e,r){1===t&&r.readMessage(Xl,e)}function Xl(t,e,r){if(3===t){var n=r.readMessage(Jl,{}),i=n.id,a=n.bitmap,o=n.width,s=n.height,l=n.left,u=n.top,c=n.advance;e.push({id:i,bitmap:new Yo({width:o+2*Yl,height:s+2*Yl},a),metrics:{width:o,height:s,left:l,top:u,advance:c}})}}function Jl(t,e,r){1===t?e.id=r.readVarint():2===t?e.bitmap=r.readBytes():3===t?e.width=r.readVarint():4===t?e.height=r.readVarint():5===t?e.left=r.readSVarint():6===t?e.top=r.readSVarint():7===t&&(e.advance=r.readVarint())}var Kl=Yl;function $l(t){for(var e=0,r=0,n=0,i=t;n<i.length;n+=1){var a=i[n];e+=a.w*a.h,r=Math.max(r,a.w)}t.sort((function(t,e){return e.h-t.h}));for(var o=[{x:0,y:0,w:Math.max(Math.ceil(Math.sqrt(e/.95)),r),h:1/0}],s=0,l=0,u=0,c=t;u<c.length;u+=1)for(var f=c[u],h=o.length-1;h>=0;h--){var p=o[h];if(!(f.w>p.w||f.h>p.h)){if(f.x=p.x,f.y=p.y,l=Math.max(l,f.y+f.h),s=Math.max(s,f.x+f.w),f.w===p.w&&f.h===p.h){var d=o.pop();h<o.length&&(o[h]=d)}else 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t.dispatchRenderCallbacks(this.haveRenderCallbacks),t.updatedImages)this.patchUpdatedImage(this.iconPositions[r],t.getImage(r),e),this.patchUpdatedImage(this.patternPositions[r],t.getImage(r),e)},ru.prototype.patchUpdatedImage=function(t,e,r){if(t&&e&&t.version!==e.version){t.version=e.version;var n=t.tl,i=n[0],a=n[1];r.update(e.data,void 0,{x:i,y:a})}},ni(\"ImagePosition\",tu),ni(\"ImageAtlas\",ru);var nu={horizontal:1,vertical:2,horizontalOnly:3},iu=-17;var au=function(){this.scale=1,this.fontStack=\"\",this.imageName=null};au.forText=function(t,e){var r=new au;return r.scale=t||1,r.fontStack=e,r},au.forImage=function(t){var e=new au;return e.imageName=t,e};var ou=function(){this.text=\"\",this.sectionIndex=[],this.sections=[],this.imageSectionID=null};function su(t,e,r,n,i,a,o,s,l,u,c,f,h,p,d,v){var g,y=ou.fromFeature(t,i);f===nu.vertical&&y.verticalizePunctuation();var m=Ci.processBidirectionalText,x=Ci.processStyledBidirectionalText;if(m&&1===y.sections.length){g=[];for(var b=0,_=m(y.toString(),vu(y,u,a,e,n,p,d));b<_.length;b+=1){var w=_[b],T=new ou;T.text=w,T.sections=y.sections;for(var k=0;k<w.length;k++)T.sectionIndex.push(0);g.push(T)}}else if(x){g=[];for(var A=0,M=x(y.text,y.sectionIndex,vu(y,u,a,e,n,p,d));A<M.length;A+=1){var S=M[A],E=new ou;E.text=S[0],E.sectionIndex=S[1],E.sections=y.sections,g.push(E)}}else g=function(t,e){for(var r=[],n=t.text,i=0,a=0,o=e;a<o.length;a+=1){var s=o[a];r.push(t.substring(i,s)),i=s}return i<n.length&&r.push(t.substring(i,n.length)),r}(y,vu(y,u,a,e,n,p,d));var L=[],C={positionedLines:L,text:y.toString(),top:c[1],bottom:c[1],left:c[0],right:c[0],writingMode:f,iconsInText:!1,verticalizable:!1};return function(t,e,r,n,i,a,o,s,l,u,c,f){for(var h=0,p=iu,d=0,v=0,g=\"right\"===s?1:\"left\"===s?0:.5,y=0,m=0,x=i;m<x.length;m+=1){var b=x[m];b.trim();var _=b.getMaxScale(),w=(_-1)*kl,T={positionedGlyphs:[],lineOffset:0};t.positionedLines[y]=T;var k=T.positionedGlyphs,A=0;if(b.length()){for(var M=0;M<b.length();M++){var S=b.getSection(M),E=b.getSectionIndex(M),L=b.getCharCode(M),C=0,P=null,O=null,I=null,D=kl,z=!(l===nu.horizontal||!c&&!hi(L)||c&&(lu[L]||di(L)));if(S.imageName){var R=n[S.imageName];if(!R)continue;I=S.imageName,t.iconsInText=t.iconsInText||!0,O=R.paddedRect;var F=R.displaySize;S.scale=S.scale*kl/f,P={width:F[0],height:F[1],left:Ql,top:-Kl,advance:z?F[1]:F[0]},C=w+(kl-F[1]*S.scale),D=P.advance;var B=z?F[0]*S.scale-kl*_:F[1]*S.scale-kl*_;B>0&&B>A&&(A=B)}else{var N=r[S.fontStack],j=N&&N[L];if(j&&j.rect)O=j.rect,P=j.metrics;else{var U=e[S.fontStack],V=U&&U[L];if(!V)continue;P=V.metrics}C=(_-S.scale)*kl}z?(t.verticalizable=!0,k.push({glyph:L,imageName:I,x:h,y:p+C,vertical:z,scale:S.scale,fontStack:S.fontStack,sectionIndex:E,metrics:P,rect:O}),h+=D*S.scale+u):(k.push({glyph:L,imageName:I,x:h,y:p+C,vertical:z,scale:S.scale,fontStack:S.fontStack,sectionIndex:E,metrics:P,rect:O}),h+=P.advance*S.scale+u)}if(0!==k.length){var H=h-u;d=Math.max(H,d),yu(k,0,k.length-1,g,A)}h=0;var q=a*_+A;T.lineOffset=Math.max(A,w),p+=q,v=Math.max(q,v),++y}else p+=a,++y}var G=p-iu,Z=gu(o),Y=Z.horizontalAlign,W=Z.verticalAlign;(function(t,e,r,n,i,a,o,s,l){var u=(e-r)*i,c=0;c=a!==o?-s*n-iu:(-n*l+.5)*o;for(var f=0,h=t;f<h.length;f+=1)for(var p=0,d=h[f].positionedGlyphs;p<d.length;p+=1){var v=d[p];v.x+=u,v.y+=c}})(t.positionedLines,g,Y,W,d,v,a,G,i.length),t.top+=-W*G,t.bottom=t.top+G,t.left+=-Y*d,t.right=t.left+d}(C,e,r,n,g,o,s,l,f,u,h,v),!function(t){for(var e=0,r=t;e<r.length;e+=1)if(0!==r[e].positionedGlyphs.length)return!1;return!0}(L)&&C}ou.fromFeature=function(t,e){for(var r=new ou,n=0;n<t.sections.length;n++){var i=t.sections[n];i.image?r.addImageSection(i):r.addTextSection(i,e)}return r},ou.prototype.length=function(){return this.text.length},ou.prototype.getSection=function(t){return this.sections[this.sectionIndex[t]]},ou.prototype.getSectionIndex=function(t){return this.sectionIndex[t]},ou.prototype.getCharCode=function(t){return this.text.charCodeAt(t)},ou.prototype.verticalizePunctuation=function(){this.text=function(t){for(var e=\"\",r=0;r<t.length;r++){var n=t.charCodeAt(r+1)||null,i=t.charCodeAt(r-1)||null;n&&pi(n)&&!Tl[t[r+1]]||i&&pi(i)&&!Tl[t[r-1]]||!Tl[t[r]]?e+=t[r]:e+=Tl[t[r]]}return e}(this.text)},ou.prototype.trim=function(){for(var t=0,e=0;e<this.text.length&&lu[this.text.charCodeAt(e)];e++)t++;for(var r=this.text.length,n=this.text.length-1;n>=0&&n>=t&&lu[this.text.charCodeAt(n)];n--)r--;this.text=this.text.substring(t,r),this.sectionIndex=this.sectionIndex.slice(t,r)},ou.prototype.substring=function(t,e){var r=new ou;return r.text=this.text.substring(t,e),r.sectionIndex=this.sectionIndex.slice(t,e),r.sections=this.sections,r},ou.prototype.toString=function(){return this.text},ou.prototype.getMaxScale=function(){var t=this;return this.sectionIndex.reduce((function(e,r){return Math.max(e,t.sections[r].scale)}),0)},ou.prototype.addTextSection=function(t,e){this.text+=t.text,this.sections.push(au.forText(t.scale,t.fontStack||e));for(var r=this.sections.length-1,n=0;n<t.text.length;++n)this.sectionIndex.push(r)},ou.prototype.addImageSection=function(t){var e=t.image?t.image.name:\"\";if(0!==e.length){var r=this.getNextImageSectionCharCode();r?(this.text+=String.fromCharCode(r),this.sections.push(au.forImage(e)),this.sectionIndex.push(this.sections.length-1)):w(\"Reached maximum number of images 6401\")}else w(\"Can't add FormattedSection with an empty image.\")},ou.prototype.getNextImageSectionCharCode=function(){return this.imageSectionID?this.imageSectionID>=63743?null:++this.imageSectionID:(this.imageSectionID=57344,this.imageSectionID)};var lu={9:!0,10:!0,11:!0,12:!0,13:!0,32:!0},uu={};function cu(t,e,r,n,i,a){if(e.imageName){var o=n[e.imageName];return o?o.displaySize[0]*e.scale*kl/a+i:0}var s=r[e.fontStack],l=s&&s[t];return l?l.metrics.advance*e.scale+i:0}function fu(t,e,r,n){var i=Math.pow(t-e,2);return n?t<e?i/2:2*i:i+Math.abs(r)*r}function hu(t,e,r){var n=0;return 10===t&&(n-=1e4),r&&(n+=150),40!==t&&65288!==t||(n+=50),41!==e&&65289!==e||(n+=50),n}function pu(t,e,r,n,i,a){for(var o=null,s=fu(e,r,i,a),l=0,u=n;l<u.length;l+=1){var c=u[l],f=fu(e-c.x,r,i,a)+c.badness;f<=s&&(o=c,s=f)}return{index:t,x:e,priorBreak:o,badness:s}}function du(t){return t?du(t.priorBreak).concat(t.index):[]}function vu(t,e,r,n,i,a,o){if(\"point\"!==a)return[];if(!t)return[];for(var s=[],l=function(t,e,r,n,i,a){for(var o=0,s=0;s<t.length();s++){var l=t.getSection(s);o+=cu(t.getCharCode(s),l,n,i,e,a)}return o/Math.max(1,Math.ceil(o/r))}(t,e,r,n,i,o),u=t.text.indexOf(\"​\")>=0,c=0,f=0;f<t.length();f++){var h=t.getSection(f),p=t.getCharCode(f);if(lu[p]||(c+=cu(p,h,n,i,e,o)),f<t.length()-1){var d=!((v=p)<11904||!(ci[\"Bopomofo Extended\"](v)||ci.Bopomofo(v)||ci[\"CJK Compatibility Forms\"](v)||ci[\"CJK Compatibility 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yu(t,e,r,n,i){if(n||i)for(var a=t[r],o=a.metrics.advance*a.scale,s=(t[r].x+o)*n,l=e;l<=r;l++)t[l].x-=s,t[l].y+=i}function mu(t,e,r,n,i,a){var o,s=t.image;if(s.content){var l=s.content,u=s.pixelRatio||1;o=[l[0]/u,l[1]/u,s.displaySize[0]-l[2]/u,s.displaySize[1]-l[3]/u]}var c,f,h,p,d=e.left*a,v=e.right*a;\"width\"===r||\"both\"===r?(p=i[0]+d-n[3],f=i[0]+v+n[1]):f=(p=i[0]+(d+v-s.displaySize[0])/2)+s.displaySize[0];var g=e.top*a,y=e.bottom*a;return\"height\"===r||\"both\"===r?(c=i[1]+g-n[0],h=i[1]+y+n[2]):h=(c=i[1]+(g+y-s.displaySize[1])/2)+s.displaySize[1],{image:s,top:c,right:f,bottom:h,left:p,collisionPadding:o}}uu[10]=!0,uu[32]=!0,uu[38]=!0,uu[40]=!0,uu[41]=!0,uu[43]=!0,uu[45]=!0,uu[47]=!0,uu[173]=!0,uu[183]=!0,uu[8203]=!0,uu[8208]=!0,uu[8211]=!0,uu[8231]=!0;var xu=function(t){function e(e,r,n,i){t.call(this,e,r),this.angle=n,void 0!==i&&(this.segment=i)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.clone=function(){return new 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Oa,this.collisionVertexArray=new ca};oc.prototype.upload=function(t){this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,this.layoutAttributes),this.indexBuffer=t.createIndexBuffer(this.indexArray),this.collisionVertexBuffer=t.createVertexBuffer(this.collisionVertexArray,xl.members,!0)},oc.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.segments.destroy(),this.collisionVertexBuffer.destroy())},ni(\"CollisionBuffers\",oc);var sc=function(t){this.collisionBoxArray=t.collisionBoxArray,this.zoom=t.zoom,this.overscaling=t.overscaling,this.layers=t.layers,this.layerIds=this.layers.map((function(t){return t.id})),this.index=t.index,this.pixelRatio=t.pixelRatio,this.sourceLayerIndex=t.sourceLayerIndex,this.hasPattern=!1,this.hasRTLText=!1,this.sortKeyRanges=[],this.collisionCircleArray=[],this.placementInvProjMatrix=Do([]),this.placementViewportMatrix=Do([]);var e=this.layers[0]._unevaluatedLayout._values;this.textSizeData=_u(this.zoom,e[\"text-size\"]),this.iconSizeData=_u(this.zoom,e[\"icon-size\"]);var r=this.layers[0].layout,n=r.get(\"symbol-sort-key\"),i=r.get(\"symbol-z-order\");this.sortFeaturesByKey=\"viewport-y\"!==i&&void 0!==n.constantOr(1);var a=\"viewport-y\"===i||\"auto\"===i&&!this.sortFeaturesByKey;this.sortFeaturesByY=a&&(r.get(\"text-allow-overlap\")||r.get(\"icon-allow-overlap\")||r.get(\"text-ignore-placement\")||r.get(\"icon-ignore-placement\")),\"point\"===r.get(\"symbol-placement\")&&(this.writingModes=r.get(\"text-writing-mode\").map((function(t){return nu[t]}))),this.stateDependentLayerIds=this.layers.filter((function(t){return t.isStateDependent()})).map((function(t){return t.id})),this.sourceID=t.sourceID};sc.prototype.createArrays=function(){this.text=new ac(new so(yl.members,this.layers,this.zoom,(function(t){return/^text/.test(t)}))),this.icon=new ac(new so(yl.members,this.layers,this.zoom,(function(t){return/^icon/.test(t)}))),this.glyphOffsetArray=new Sa,this.lineVertexArray=new Ea,this.symbolInstances=new Ma},sc.prototype.calculateGlyphDependencies=function(t,e,r,n,i){for(var a=0;a<t.length;a++)if(e[t.charCodeAt(a)]=!0,(r||n)&&i){var o=Tl[t.charAt(a)];o&&(e[o.charCodeAt(0)]=!0)}},sc.prototype.populate=function(t,e,r){var n=this.layers[0],i=n.layout,a=i.get(\"text-font\"),o=i.get(\"text-field\"),s=i.get(\"icon-image\"),l=(\"constant\"!==o.value.kind||o.value.value instanceof ue&&!o.value.value.isEmpty()||o.value.value.toString().length>0)&&(\"constant\"!==a.value.kind||a.value.value.length>0),u=\"constant\"!==s.value.kind||!!s.value.value||Object.keys(s.parameters).length>0,c=i.get(\"symbol-sort-key\");if(this.features=[],l||u){for(var f=e.iconDependencies,h=e.glyphDependencies,p=e.availableImages,d=new Pi(this.zoom),v=0,g=t;v<g.length;v+=1){var y=g[v],m=y.feature,x=y.id,b=y.index,_=y.sourceLayerIndex,w=n._featureFilter.needGeometry,T={type:m.type,id:x,properties:m.properties,geometry:w?po(m):[]};if(n._featureFilter.filter(d,T,r)){w||(T.geometry=po(m));var k=void 0;if(l){var A=n.getValueAndResolveTokens(\"text-field\",T,r,p),M=ue.factory(A);ic(M)&&(this.hasRTLText=!0),(!this.hasRTLText||\"unavailable\"===Ei()||this.hasRTLText&&Ci.isParsed())&&(k=wl(M,n,T))}var S=void 0;if(u){var E=n.getValueAndResolveTokens(\"icon-image\",T,r,p);S=E instanceof ce?E:ce.fromString(E)}if(k||S){var L=this.sortFeaturesByKey?c.evaluate(T,{},r):void 0,C={id:x,text:k,icon:S,index:b,sourceLayerIndex:_,geometry:po(m),properties:m.properties,type:tc[m.type],sortKey:L};if(this.features.push(C),S&&(f[S.name]=!0),k){var P=a.evaluate(T,{},r).join(\",\"),O=\"map\"===i.get(\"text-rotation-alignment\")&&\"point\"!==i.get(\"symbol-placement\");this.allowVerticalPlacement=this.writingModes&&this.writingModes.indexOf(nu.vertical)>=0;for(var I=0,D=k.sections;I<D.length;I+=1){var z=D[I];if(z.image)f[z.image.name]=!0;else{var R=fi(k.toString()),F=z.fontStack||P,B=h[F]=h[F]||{};this.calculateGlyphDependencies(z.text,B,O,this.allowVerticalPlacement,R)}}}}}}\"line\"===i.get(\"symbol-placement\")&&(this.features=function(t){var e={},r={},n=[],i=0;function a(e){n.push(t[e]),i++}function o(t,e,i){var a=r[t];return delete r[t],r[e]=a,n[a].geometry[0].pop(),n[a].geometry[0]=n[a].geometry[0].concat(i[0]),a}function s(t,r,i){var a=e[r];return delete e[r],e[t]=a,n[a].geometry[0].shift(),n[a].geometry[0]=i[0].concat(n[a].geometry[0]),a}function l(t,e,r){var n=r?e[0][e[0].length-1]:e[0][0];return t+\":\"+n.x+\":\"+n.y}for(var u=0;u<t.length;u++){var c=t[u],f=c.geometry,h=c.text?c.text.toString():null;if(h){var p=l(h,f),d=l(h,f,!0);if(p in r&&d in e&&r[p]!==e[d]){var v=s(p,d,f),g=o(p,d,n[v].geometry);delete e[p],delete r[d],r[l(h,n[g].geometry,!0)]=g,n[v].geometry=null}else p in r?o(p,d,f):d in e?s(p,d,f):(a(u),e[p]=i-1,r[d]=i-1)}else a(u)}return n.filter((function(t){return t.geometry}))}(this.features)),this.sortFeaturesByKey&&this.features.sort((function(t,e){return t.sortKey-e.sortKey}))}},sc.prototype.update=function(t,e,r){this.stateDependentLayers.length&&(this.text.programConfigurations.updatePaintArrays(t,e,this.layers,r),this.icon.programConfigurations.updatePaintArrays(t,e,this.layers,r))},sc.prototype.isEmpty=function(){return 0===this.symbolInstances.length&&!this.hasRTLText},sc.prototype.uploadPending=function(){return!this.uploaded||this.text.programConfigurations.needsUpload||this.icon.programConfigurations.needsUpload},sc.prototype.upload=function(t){!this.uploaded&&this.hasDebugData()&&(this.textCollisionBox.upload(t),this.iconCollisionBox.upload(t)),this.text.upload(t,this.sortFeaturesByY,!this.uploaded,this.text.programConfigurations.needsUpload),this.icon.upload(t,this.sortFeaturesByY,!this.uploaded,this.icon.programConfigurations.needsUpload),this.uploaded=!0},sc.prototype.destroyDebugData=function(){this.textCollisionBox.destroy(),this.iconCollisionBox.destroy()},sc.prototype.destroy=function(){this.text.destroy(),this.icon.destroy(),this.hasDebugData()&&this.destroyDebugData()},sc.prototype.addToLineVertexArray=function(t,e){var r=this.lineVertexArray.length;if(void 0!==t.segment){for(var n=t.dist(e[t.segment+1]),i=t.dist(e[t.segment]),a={},o=t.segment+1;o<e.length;o++)a[o]={x:e[o].x,y:e[o].y,tileUnitDistanceFromAnchor:n},o<e.length-1&&(n+=e[o+1].dist(e[o]));for(var s=t.segment||0;s>=0;s--)a[s]={x:e[s].x,y:e[s].y,tileUnitDistanceFromAnchor:i},s>0&&(i+=e[s-1].dist(e[s]));for(var l=0;l<e.length;l++){var u=a[l];this.lineVertexArray.emplaceBack(u.x,u.y,u.tileUnitDistanceFromAnchor)}}return{lineStartIndex:r,lineLength:this.lineVertexArray.length-r}},sc.prototype.addSymbols=function(t,e,r,n,i,a,o,s,l,u,c,f){for(var h=t.indexArray,p=t.layoutVertexArray,d=t.segments.prepareSegment(4*e.length,p,h,a.sortKey),v=this.glyphOffsetArray.length,g=d.vertexLength,y=this.allowVerticalPlacement&&o===nu.vertical?Math.PI/2:0,m=a.text&&a.text.sections,x=0;x<e.length;x++){var b=e[x],_=b.tl,w=b.tr,T=b.bl,k=b.br,A=b.tex,M=b.pixelOffsetTL,S=b.pixelOffsetBR,E=b.minFontScaleX,L=b.minFontScaleY,C=b.glyphOffset,P=b.isSDF,O=b.sectionIndex,I=d.vertexLength,D=C[1];rc(p,s.x,s.y,_.x,D+_.y,A.x,A.y,r,P,M.x,M.y,E,L),rc(p,s.x,s.y,w.x,D+w.y,A.x+A.w,A.y,r,P,S.x,M.y,E,L),rc(p,s.x,s.y,T.x,D+T.y,A.x,A.y+A.h,r,P,M.x,S.y,E,L),rc(p,s.x,s.y,k.x,D+k.y,A.x+A.w,A.y+A.h,r,P,S.x,S.y,E,L),nc(t.dynamicLayoutVertexArray,s,y),h.emplaceBack(I,I+1,I+2),h.emplaceBack(I+1,I+2,I+3),d.vertexLength+=4,d.primitiveLength+=2,this.glyphOffsetArray.emplaceBack(C[0]),x!==e.length-1&&O===e[x+1].sectionIndex||t.programConfigurations.populatePaintArrays(p.length,a,a.index,{},f,m&&m[O])}t.placedSymbolArray.emplaceBack(s.x,s.y,v,this.glyphOffsetArray.length-v,g,l,u,s.segment,r?r[0]:0,r?r[1]:0,n[0],n[1],o,0,!1,0,c)},sc.prototype._addCollisionDebugVertex=function(t,e,r,n,i,a){return e.emplaceBack(0,0),t.emplaceBack(r.x,r.y,n,i,Math.round(a.x),Math.round(a.y))},sc.prototype.addCollisionDebugVertices=function(t,e,r,n,i,o,s){var l=i.segments.prepareSegment(4,i.layoutVertexArray,i.indexArray),u=l.vertexLength,c=i.layoutVertexArray,f=i.collisionVertexArray,h=s.anchorX,p=s.anchorY;this._addCollisionDebugVertex(c,f,o,h,p,new a(t,e)),this._addCollisionDebugVertex(c,f,o,h,p,new a(r,e)),this._addCollisionDebugVertex(c,f,o,h,p,new a(r,n)),this._addCollisionDebugVertex(c,f,o,h,p,new a(t,n)),l.vertexLength+=4;var d=i.indexArray;d.emplaceBack(u,u+1),d.emplaceBack(u+1,u+2),d.emplaceBack(u+2,u+3),d.emplaceBack(u+3,u),l.primitiveLength+=4},sc.prototype.addDebugCollisionBoxes=function(t,e,r,n){for(var i=t;i<e;i++){var a=this.collisionBoxArray.get(i),o=a.x1,s=a.y1,l=a.x2,u=a.y2;this.addCollisionDebugVertices(o,s,l,u,n?this.textCollisionBox:this.iconCollisionBox,a.anchorPoint,r)}},sc.prototype.generateCollisionDebugBuffers=function(){this.hasDebugData()&&this.destroyDebugData(),this.textCollisionBox=new oc(la,bl.members,ya),this.iconCollisionBox=new oc(la,bl.members,ya);for(var t=0;t<this.symbolInstances.length;t++){var e=this.symbolInstances.get(t);this.addDebugCollisionBoxes(e.textBoxStartIndex,e.textBoxEndIndex,e,!0),this.addDebugCollisionBoxes(e.verticalTextBoxStartIndex,e.verticalTextBoxEndIndex,e,!0),this.addDebugCollisionBoxes(e.iconBoxStartIndex,e.iconBoxEndIndex,e,!1),this.addDebugCollisionBoxes(e.verticalIconBoxStartIndex,e.verticalIconBoxEndIndex,e,!1)}},sc.prototype._deserializeCollisionBoxesForSymbol=function(t,e,r,n,i,a,o,s,l){for(var u={},c=e;c<r;c++){var f=t.get(c);u.textBox={x1:f.x1,y1:f.y1,x2:f.x2,y2:f.y2,anchorPointX:f.anchorPointX,anchorPointY:f.anchorPointY},u.textFeatureIndex=f.featureIndex;break}for(var h=n;h<i;h++){var p=t.get(h);u.verticalTextBox={x1:p.x1,y1:p.y1,x2:p.x2,y2:p.y2,anchorPointX:p.anchorPointX,anchorPointY:p.anchorPointY},u.verticalTextFeatureIndex=p.featureIndex;break}for(var d=a;d<o;d++){var v=t.get(d);u.iconBox={x1:v.x1,y1:v.y1,x2:v.x2,y2:v.y2,anchorPointX:v.anchorPointX,anchorPointY:v.anchorPointY},u.iconFeatureIndex=v.featureIndex;break}for(var g=s;g<l;g++){var y=t.get(g);u.verticalIconBox={x1:y.x1,y1:y.y1,x2:y.x2,y2:y.y2,anchorPointX:y.anchorPointX,anchorPointY:y.anchorPointY},u.verticalIconFeatureIndex=y.featureIndex;break}return u},sc.prototype.deserializeCollisionBoxes=function(t){this.collisionArrays=[];for(var e=0;e<this.symbolInstances.length;e++){var r=this.symbolInstances.get(e);this.collisionArrays.push(this._deserializeCollisionBoxesForSymbol(t,r.textBoxStartIndex,r.textBoxEndIndex,r.verticalTextBoxStartIndex,r.verticalTextBoxEndIndex,r.iconBoxStartIndex,r.iconBoxEndIndex,r.verticalIconBoxStartIndex,r.verticalIconBoxEndIndex))}},sc.prototype.hasTextData=function(){return this.text.segments.get().length>0},sc.prototype.hasIconData=function(){return this.icon.segments.get().length>0},sc.prototype.hasDebugData=function(){return this.textCollisionBox&&this.iconCollisionBox},sc.prototype.hasTextCollisionBoxData=function(){return this.hasDebugData()&&this.textCollisionBox.segments.get().length>0},sc.prototype.hasIconCollisionBoxData=function(){return this.hasDebugData()&&this.iconCollisionBox.segments.get().length>0},sc.prototype.addIndicesForPlacedSymbol=function(t,e){for(var r=t.placedSymbolArray.get(e),n=r.vertexStartIndex+4*r.numGlyphs,i=r.vertexStartIndex;i<n;i+=4)t.indexArray.emplaceBack(i,i+1,i+2),t.indexArray.emplaceBack(i+1,i+2,i+3)},sc.prototype.getSortedSymbolIndexes=function(t){if(this.sortedAngle===t&&void 0!==this.symbolInstanceIndexes)return this.symbolInstanceIndexes;for(var e=Math.sin(t),r=Math.cos(t),n=[],i=[],a=[],o=0;o<this.symbolInstances.length;++o){a.push(o);var s=this.symbolInstances.get(o);n.push(0|Math.round(e*s.anchorX+r*s.anchorY)),i.push(s.featureIndex)}return a.sort((function(t,e){return n[t]-n[e]||i[e]-i[t]})),a},sc.prototype.addToSortKeyRanges=function(t,e){var r=this.sortKeyRanges[this.sortKeyRanges.length-1];r&&r.sortKey===e?r.symbolInstanceEnd=t+1:this.sortKeyRanges.push({sortKey:e,symbolInstanceStart:t,symbolInstanceEnd:t+1})},sc.prototype.sortFeatures=function(t){var e=this;if(this.sortFeaturesByY&&this.sortedAngle!==t&&!(this.text.segments.get().length>1||this.icon.segments.get().length>1)){this.symbolInstanceIndexes=this.getSortedSymbolIndexes(t),this.sortedAngle=t,this.text.indexArray.clear(),this.icon.indexArray.clear(),this.featureSortOrder=[];for(var r=0,n=this.symbolInstanceIndexes;r<n.length;r+=1){var i=n[r],a=this.symbolInstances.get(i);this.featureSortOrder.push(a.featureIndex),[a.rightJustifiedTextSymbolIndex,a.centerJustifiedTextSymbolIndex,a.leftJustifiedTextSymbolIndex].forEach((function(t,r,n){t>=0&&n.indexOf(t)===r&&e.addIndicesForPlacedSymbol(e.text,t)})),a.verticalPlacedTextSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.text,a.verticalPlacedTextSymbolIndex),a.placedIconSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.icon,a.placedIconSymbolIndex),a.verticalPlacedIconSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.icon,a.verticalPlacedIconSymbolIndex)}this.text.indexBuffer&&this.text.indexBuffer.updateData(this.text.indexArray),this.icon.indexBuffer&&this.icon.indexBuffer.updateData(this.icon.indexArray)}},ni(\"SymbolBucket\",sc,{omit:[\"layers\",\"collisionBoxArray\",\"features\",\"compareText\"]}),sc.MAX_GLYPHS=65535,sc.addDynamicAttributes=nc;var lc=new Gi({\"symbol-placement\":new ji(Dt.layout_symbol[\"symbol-placement\"]),\"symbol-spacing\":new ji(Dt.layout_symbol[\"symbol-spacing\"]),\"symbol-avoid-edges\":new ji(Dt.layout_symbol[\"symbol-avoid-edges\"]),\"symbol-sort-key\":new Ui(Dt.layout_symbol[\"symbol-sort-key\"]),\"symbol-z-order\":new ji(Dt.layout_symbol[\"symbol-z-order\"]),\"icon-allow-overlap\":new ji(Dt.layout_symbol[\"icon-allow-overlap\"]),\"icon-ignore-placement\":new ji(Dt.layout_symbol[\"icon-ignore-placement\"]),\"icon-optional\":new ji(Dt.layout_symbol[\"icon-optional\"]),\"icon-rotation-alignment\":new ji(Dt.layout_symbol[\"icon-rotation-alignment\"]),\"icon-size\":new Ui(Dt.layout_symbol[\"icon-size\"]),\"icon-text-fit\":new ji(Dt.layout_symbol[\"icon-text-fit\"]),\"icon-text-fit-padding\":new ji(Dt.layout_symbol[\"icon-text-fit-padding\"]),\"icon-image\":new Ui(Dt.layout_symbol[\"icon-image\"]),\"icon-rotate\":new Ui(Dt.layout_symbol[\"icon-rotate\"]),\"icon-padding\":new ji(Dt.layout_symbol[\"icon-padding\"]),\"icon-keep-upright\":new ji(Dt.layout_symbol[\"icon-keep-upright\"]),\"icon-offset\":new Ui(Dt.layout_symbol[\"icon-offset\"]),\"icon-anchor\":new Ui(Dt.layout_symbol[\"icon-anchor\"]),\"icon-pitch-alignment\":new ji(Dt.layout_symbol[\"icon-pitch-alignment\"]),\"text-pitch-alignment\":new ji(Dt.layout_symbol[\"text-pitch-alignment\"]),\"text-rotation-alignment\":new ji(Dt.layout_symbol[\"text-rotation-alignment\"]),\"text-field\":new Ui(Dt.layout_symbol[\"text-field\"]),\"text-font\":new Ui(Dt.layout_symbol[\"text-font\"]),\"text-size\":new Ui(Dt.layout_symbol[\"text-size\"]),\"text-max-width\":new Ui(Dt.layout_symbol[\"text-max-width\"]),\"text-line-height\":new ji(Dt.layout_symbol[\"text-line-height\"]),\"text-letter-spacing\":new Ui(Dt.layout_symbol[\"text-letter-spacing\"]),\"text-justify\":new Ui(Dt.layout_symbol[\"text-justify\"]),\"text-radial-offset\":new Ui(Dt.layout_symbol[\"text-radial-offset\"]),\"text-variable-anchor\":new ji(Dt.layout_symbol[\"text-variable-anchor\"]),\"text-anchor\":new Ui(Dt.layout_symbol[\"text-anchor\"]),\"text-max-angle\":new ji(Dt.layout_symbol[\"text-max-angle\"]),\"text-writing-mode\":new ji(Dt.layout_symbol[\"text-writing-mode\"]),\"text-rotate\":new Ui(Dt.layout_symbol[\"text-rotate\"]),\"text-padding\":new ji(Dt.layout_symbol[\"text-padding\"]),\"text-keep-upright\":new ji(Dt.layout_symbol[\"text-keep-upright\"]),\"text-transform\":new Ui(Dt.layout_symbol[\"text-transform\"]),\"text-offset\":new Ui(Dt.layout_symbol[\"text-offset\"]),\"text-allow-overlap\":new ji(Dt.layout_symbol[\"text-allow-overlap\"]),\"text-ignore-placement\":new ji(Dt.layout_symbol[\"text-ignore-placement\"]),\"text-optional\":new ji(Dt.layout_symbol[\"text-optional\"])}),uc={paint:new Gi({\"icon-opacity\":new Ui(Dt.paint_symbol[\"icon-opacity\"]),\"icon-color\":new Ui(Dt.paint_symbol[\"icon-color\"]),\"icon-halo-color\":new Ui(Dt.paint_symbol[\"icon-halo-color\"]),\"icon-halo-width\":new Ui(Dt.paint_symbol[\"icon-halo-width\"]),\"icon-halo-blur\":new Ui(Dt.paint_symbol[\"icon-halo-blur\"]),\"icon-translate\":new ji(Dt.paint_symbol[\"icon-translate\"]),\"icon-translate-anchor\":new ji(Dt.paint_symbol[\"icon-translate-anchor\"]),\"text-opacity\":new Ui(Dt.paint_symbol[\"text-opacity\"]),\"text-color\":new Ui(Dt.paint_symbol[\"text-color\"],{runtimeType:Zt,getOverride:function(t){return t.textColor},hasOverride:function(t){return!!t.textColor}}),\"text-halo-color\":new Ui(Dt.paint_symbol[\"text-halo-color\"]),\"text-halo-width\":new Ui(Dt.paint_symbol[\"text-halo-width\"]),\"text-halo-blur\":new Ui(Dt.paint_symbol[\"text-halo-blur\"]),\"text-translate\":new ji(Dt.paint_symbol[\"text-translate\"]),\"text-translate-anchor\":new ji(Dt.paint_symbol[\"text-translate-anchor\"])}),layout:lc},cc=function(t){this.type=t.property.overrides?t.property.overrides.runtimeType:Vt,this.defaultValue=t};cc.prototype.evaluate=function(t){if(t.formattedSection){var e=this.defaultValue.property.overrides;if(e&&e.hasOverride(t.formattedSection))return e.getOverride(t.formattedSection)}return t.feature&&t.featureState?this.defaultValue.evaluate(t.feature,t.featureState):this.defaultValue.property.specification.default},cc.prototype.eachChild=function(t){this.defaultValue.isConstant()||t(this.defaultValue.value._styleExpression.expression)},cc.prototype.outputDefined=function(){return!1},cc.prototype.serialize=function(){return null},ni(\"FormatSectionOverride\",cc,{omit:[\"defaultValue\"]});var fc=function(t){function e(e){t.call(this,e,uc)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.recalculate=function(e,r){if(t.prototype.recalculate.call(this,e,r),\"auto\"===this.layout.get(\"icon-rotation-alignment\")&&(\"point\"!==this.layout.get(\"symbol-placement\")?this.layout._values[\"icon-rotation-alignment\"]=\"map\":this.layout._values[\"icon-rotation-alignment\"]=\"viewport\"),\"auto\"===this.layout.get(\"text-rotation-alignment\")&&(\"point\"!==this.layout.get(\"symbol-placement\")?this.layout._values[\"text-rotation-alignment\"]=\"map\":this.layout._values[\"text-rotation-alignment\"]=\"viewport\"),\"auto\"===this.layout.get(\"text-pitch-alignment\")&&(this.layout._values[\"text-pitch-alignment\"]=this.layout.get(\"text-rotation-alignment\")),\"auto\"===this.layout.get(\"icon-pitch-alignment\")&&(this.layout._values[\"icon-pitch-alignment\"]=this.layout.get(\"icon-rotation-alignment\")),\"point\"===this.layout.get(\"symbol-placement\")){var n=this.layout.get(\"text-writing-mode\");if(n){for(var i=[],a=0,o=n;a<o.length;a+=1){var s=o[a];i.indexOf(s)<0&&i.push(s)}this.layout._values[\"text-writing-mode\"]=i}else this.layout._values[\"text-writing-mode\"]=[\"horizontal\"]}this._setPaintOverrides()},e.prototype.getValueAndResolveTokens=function(t,e,r,n){var i=this.layout.get(t).evaluate(e,{},r,n),a=this._unevaluatedLayout._values[t];return a.isDataDriven()||sn(a.value)||!i?i:function(t,e){return e.replace(/{([^{}]+)}/g,(function(e,r){return r in t?String(t[r]):\"\"}))}(e.properties,i)},e.prototype.createBucket=function(t){return new sc(t)},e.prototype.queryRadius=function(){return 0},e.prototype.queryIntersectsFeature=function(){return!1},e.prototype._setPaintOverrides=function(){for(var t=0,r=uc.paint.overridableProperties;t<r.length;t+=1){var n=r[t];if(e.hasPaintOverride(this.layout,n)){var i,a=this.paint.get(n),o=new cc(a),s=new on(o,a.property.specification);i=\"constant\"===a.value.kind||\"source\"===a.value.kind?new un(\"source\",s):new cn(\"composite\",s,a.value.zoomStops,a.value._interpolationType),this.paint._values[n]=new Bi(a.property,i,a.parameters)}}},e.prototype._handleOverridablePaintPropertyUpdate=function(t,r,n){return!(!this.layout||r.isDataDriven()||n.isDataDriven())&&e.hasPaintOverride(this.layout,t)},e.hasPaintOverride=function(t,e){var r=t.get(\"text-field\"),n=uc.paint.properties[e],i=!1,a=function(t){for(var e=0,r=t;e<r.length;e+=1){var a=r[e];if(n.overrides&&n.overrides.hasOverride(a))return void(i=!0)}};if(\"constant\"===r.value.kind&&r.value.value instanceof ue)a(r.value.value.sections);else if(\"source\"===r.value.kind){var o=function(t){if(!i)if(t instanceof ve&&pe(t.value)===Jt){var e=t.value;a(e.sections)}else t instanceof xe?a(t.sections):t.eachChild(o)},s=r.value;s._styleExpression&&o(s._styleExpression.expression)}return i},e}(Yi),hc={paint:new Gi({\"background-color\":new ji(Dt.paint_background[\"background-color\"]),\"background-pattern\":new Hi(Dt.paint_background[\"background-pattern\"]),\"background-opacity\":new ji(Dt.paint_background[\"background-opacity\"])})},pc=function(t){function e(e){t.call(this,e,hc)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e}(Yi),dc={paint:new Gi({\"raster-opacity\":new ji(Dt.paint_raster[\"raster-opacity\"]),\"raster-hue-rotate\":new ji(Dt.paint_raster[\"raster-hue-rotate\"]),\"raster-brightness-min\":new ji(Dt.paint_raster[\"raster-brightness-min\"]),\"raster-brightness-max\":new ji(Dt.paint_raster[\"raster-brightness-max\"]),\"raster-saturation\":new ji(Dt.paint_raster[\"raster-saturation\"]),\"raster-contrast\":new ji(Dt.paint_raster[\"raster-contrast\"]),\"raster-resampling\":new ji(Dt.paint_raster[\"raster-resampling\"]),\"raster-fade-duration\":new ji(Dt.paint_raster[\"raster-fade-duration\"])})},vc=function(t){function e(e){t.call(this,e,dc)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e}(Yi);var gc=function(t){function e(e){t.call(this,e,{}),this.implementation=e}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.is3D=function(){return\"3d\"===this.implementation.renderingMode},e.prototype.hasOffscreenPass=function(){return void 0!==this.implementation.prerender},e.prototype.recalculate=function(){},e.prototype.updateTransitions=function(){},e.prototype.hasTransition=function(){},e.prototype.serialize=function(){},e.prototype.onAdd=function(t){this.implementation.onAdd&&this.implementation.onAdd(t,t.painter.context.gl)},e.prototype.onRemove=function(t){this.implementation.onRemove&&this.implementation.onRemove(t,t.painter.context.gl)},e}(Yi),yc={circle:Uo,heatmap:Ko,hillshade:Qo,fill:js,\"fill-extrusion\":nl,line:vl,symbol:fc,background:pc,raster:vc};var mc=self.HTMLImageElement,xc=self.HTMLCanvasElement,bc=self.HTMLVideoElement,_c=self.ImageData,wc=self.ImageBitmap,Tc=function(t,e,r,n){this.context=t,this.format=r,this.texture=t.gl.createTexture(),this.update(e,n)};Tc.prototype.update=function(t,e,r){var n=t.width,i=t.height,a=!(this.size&&this.size[0]===n&&this.size[1]===i||r),o=this.context,s=o.gl;if(this.useMipmap=Boolean(e&&e.useMipmap),s.bindTexture(s.TEXTURE_2D,this.texture),o.pixelStoreUnpackFlipY.set(!1),o.pixelStoreUnpack.set(1),o.pixelStoreUnpackPremultiplyAlpha.set(this.format===s.RGBA&&(!e||!1!==e.premultiply)),a)this.size=[n,i],t instanceof mc||t instanceof xc||t instanceof bc||t instanceof _c||wc&&t instanceof wc?s.texImage2D(s.TEXTURE_2D,0,this.format,this.format,s.UNSIGNED_BYTE,t):s.texImage2D(s.TEXTURE_2D,0,this.format,n,i,0,this.format,s.UNSIGNED_BYTE,t.data);else{var l=r||{x:0,y:0},u=l.x,c=l.y;t instanceof mc||t instanceof xc||t instanceof bc||t instanceof _c||wc&&t instanceof wc?s.texSubImage2D(s.TEXTURE_2D,0,u,c,s.RGBA,s.UNSIGNED_BYTE,t):s.texSubImage2D(s.TEXTURE_2D,0,u,c,n,i,s.RGBA,s.UNSIGNED_BYTE,t.data)}this.useMipmap&&this.isSizePowerOfTwo()&&s.generateMipmap(s.TEXTURE_2D)},Tc.prototype.bind=function(t,e,r){var n=this.context.gl;n.bindTexture(n.TEXTURE_2D,this.texture),r!==n.LINEAR_MIPMAP_NEAREST||this.isSizePowerOfTwo()||(r=n.LINEAR),t!==this.filter&&(n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MAG_FILTER,t),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MIN_FILTER,r||t),this.filter=t),e!==this.wrap&&(n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_S,e),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_T,e),this.wrap=e)},Tc.prototype.isSizePowerOfTwo=function(){return this.size[0]===this.size[1]&&Math.log(this.size[0])/Math.LN2%1==0},Tc.prototype.destroy=function(){this.context.gl.deleteTexture(this.texture),this.texture=null};var kc=function(t){var e=this;this._callback=t,this._triggered=!1,\"undefined\"!=typeof MessageChannel&&(this._channel=new MessageChannel,this._channel.port2.onmessage=function(){e._triggered=!1,e._callback()})};kc.prototype.trigger=function(){var t=this;this._triggered||(this._triggered=!0,this._channel?this._channel.port1.postMessage(!0):setTimeout((function(){t._triggered=!1,t._callback()}),0))},kc.prototype.remove=function(){delete this._channel,this._callback=function(){}};var Ac=function(t,e,r){this.target=t,this.parent=e,this.mapId=r,this.callbacks={},this.tasks={},this.taskQueue=[],this.cancelCallbacks={},g([\"receive\",\"process\"],this),this.invoker=new kc(this.process),this.target.addEventListener(\"message\",this.receive,!1),this.globalScope=A()?t:self};function Mc(t,e,r){var n=2*Math.PI*6378137/256/Math.pow(2,r);return[t*n-2*Math.PI*6378137/2,e*n-2*Math.PI*6378137/2]}Ac.prototype.send=function(t,e,r,n,i){var a=this;void 0===i&&(i=!1);var o=Math.round(1e18*Math.random()).toString(36).substring(0,10);r&&(this.callbacks[o]=r);var s=E(this.globalScope)?void 0:[];return this.target.postMessage({id:o,type:t,hasCallback:!!r,targetMapId:n,mustQueue:i,sourceMapId:this.mapId,data:si(e,s)},s),{cancel:function(){r&&delete a.callbacks[o],a.target.postMessage({id:o,type:\"<cancel>\",targetMapId:n,sourceMapId:a.mapId})}}},Ac.prototype.receive=function(t){var e=t.data,r=e.id;if(r&&(!e.targetMapId||this.mapId===e.targetMapId))if(\"<cancel>\"===e.type){delete this.tasks[r];var n=this.cancelCallbacks[r];delete this.cancelCallbacks[r],n&&n()}else A()||e.mustQueue?(this.tasks[r]=e,this.taskQueue.push(r),this.invoker.trigger()):this.processTask(r,e)},Ac.prototype.process=function(){if(this.taskQueue.length){var t=this.taskQueue.shift(),e=this.tasks[t];delete this.tasks[t],this.taskQueue.length&&this.invoker.trigger(),e&&this.processTask(t,e)}},Ac.prototype.processTask=function(t,e){var r=this;if(\"<response>\"===e.type){var n=this.callbacks[t];delete this.callbacks[t],n&&(e.error?n(li(e.error)):n(null,li(e.data)))}else{var i=!1,a=E(this.globalScope)?void 0:[],o=e.hasCallback?function(e,n){i=!0,delete r.cancelCallbacks[t],r.target.postMessage({id:t,type:\"<response>\",sourceMapId:r.mapId,error:e?si(e):null,data:si(n,a)},a)}:function(t){i=!0},s=null,l=li(e.data);if(this.parent[e.type])s=this.parent[e.type](e.sourceMapId,l,o);else if(this.parent.getWorkerSource){var u=e.type.split(\".\");s=this.parent.getWorkerSource(e.sourceMapId,u[0],l.source)[u[1]](l,o)}else o(new Error(\"Could not find function \"+e.type));!i&&s&&s.cancel&&(this.cancelCallbacks[t]=s.cancel)}},Ac.prototype.remove=function(){this.invoker.remove(),this.target.removeEventListener(\"message\",this.receive,!1)};var Sc=function(t,e){t&&(e?this.setSouthWest(t).setNorthEast(e):4===t.length?this.setSouthWest([t[0],t[1]]).setNorthEast([t[2],t[3]]):this.setSouthWest(t[0]).setNorthEast(t[1]))};Sc.prototype.setNorthEast=function(t){return this._ne=t instanceof Lc?new Lc(t.lng,t.lat):Lc.convert(t),this},Sc.prototype.setSouthWest=function(t){return this._sw=t instanceof Lc?new Lc(t.lng,t.lat):Lc.convert(t),this},Sc.prototype.extend=function(t){var e,r,n=this._sw,i=this._ne;if(t instanceof Lc)e=t,r=t;else{if(!(t instanceof Sc)){if(Array.isArray(t)){if(4===t.length||t.every(Array.isArray)){var a=t;return this.extend(Sc.convert(a))}var o=t;return this.extend(Lc.convert(o))}return this}if(e=t._sw,r=t._ne,!e||!r)return this}return n||i?(n.lng=Math.min(e.lng,n.lng),n.lat=Math.min(e.lat,n.lat),i.lng=Math.max(r.lng,i.lng),i.lat=Math.max(r.lat,i.lat)):(this._sw=new Lc(e.lng,e.lat),this._ne=new Lc(r.lng,r.lat)),this},Sc.prototype.getCenter=function(){return new Lc((this._sw.lng+this._ne.lng)/2,(this._sw.lat+this._ne.lat)/2)},Sc.prototype.getSouthWest=function(){return this._sw},Sc.prototype.getNorthEast=function(){return this._ne},Sc.prototype.getNorthWest=function(){return new Lc(this.getWest(),this.getNorth())},Sc.prototype.getSouthEast=function(){return new Lc(this.getEast(),this.getSouth())},Sc.prototype.getWest=function(){return this._sw.lng},Sc.prototype.getSouth=function(){return this._sw.lat},Sc.prototype.getEast=function(){return this._ne.lng},Sc.prototype.getNorth=function(){return this._ne.lat},Sc.prototype.toArray=function(){return[this._sw.toArray(),this._ne.toArray()]},Sc.prototype.toString=function(){return\"LngLatBounds(\"+this._sw.toString()+\", \"+this._ne.toString()+\")\"},Sc.prototype.isEmpty=function(){return!(this._sw&&this._ne)},Sc.prototype.contains=function(t){var e=Lc.convert(t),r=e.lng,n=e.lat,i=this._sw.lat<=n&&n<=this._ne.lat,a=this._sw.lng<=r&&r<=this._ne.lng;return this._sw.lng>this._ne.lng&&(a=this._sw.lng>=r&&r>=this._ne.lng),i&&a},Sc.convert=function(t){return!t||t instanceof Sc?t:new Sc(t)};var Ec=6371008.8,Lc=function(t,e){if(isNaN(t)||isNaN(e))throw new Error(\"Invalid LngLat object: (\"+t+\", \"+e+\")\");if(this.lng=+t,this.lat=+e,this.lat>90||this.lat<-90)throw new Error(\"Invalid LngLat latitude value: must be between -90 and 90\")};Lc.prototype.wrap=function(){return new Lc(c(this.lng,-180,180),this.lat)},Lc.prototype.toArray=function(){return[this.lng,this.lat]},Lc.prototype.toString=function(){return\"LngLat(\"+this.lng+\", \"+this.lat+\")\"},Lc.prototype.distanceTo=function(t){var e=Math.PI/180,r=this.lat*e,n=t.lat*e,i=Math.sin(r)*Math.sin(n)+Math.cos(r)*Math.cos(n)*Math.cos((t.lng-this.lng)*e);return Ec*Math.acos(Math.min(i,1))},Lc.prototype.toBounds=function(t){void 0===t&&(t=0);var e=360*t/40075017,r=e/Math.cos(Math.PI/180*this.lat);return new Sc(new Lc(this.lng-r,this.lat-e),new Lc(this.lng+r,this.lat+e))},Lc.convert=function(t){if(t instanceof Lc)return t;if(Array.isArray(t)&&(2===t.length||3===t.length))return new Lc(Number(t[0]),Number(t[1]));if(!Array.isArray(t)&&\"object\"==typeof t&&null!==t)return new Lc(Number(\"lng\"in t?t.lng:t.lon),Number(t.lat));throw new Error(\"`LngLatLike` argument must be specified as a LngLat instance, an object {lng: <lng>, lat: <lat>}, an object {lon: <lng>, lat: <lat>}, or an array of [<lng>, <lat>]\")};var Cc=2*Math.PI*Ec;function Pc(t){return Cc*Math.cos(t*Math.PI/180)}function Oc(t){return(180+t)/360}function Ic(t){return(180-180/Math.PI*Math.log(Math.tan(Math.PI/4+t*Math.PI/360)))/360}function Dc(t,e){return t/Pc(e)}function zc(t){var e=180-360*t;return 360/Math.PI*Math.atan(Math.exp(e*Math.PI/180))-90}var Rc=function(t,e,r){void 0===r&&(r=0),this.x=+t,this.y=+e,this.z=+r};Rc.fromLngLat=function(t,e){void 0===e&&(e=0);var r=Lc.convert(t);return new Rc(Oc(r.lng),Ic(r.lat),Dc(e,r.lat))},Rc.prototype.toLngLat=function(){return new Lc(360*this.x-180,zc(this.y))},Rc.prototype.toAltitude=function(){return t=this.z,e=this.y,t*Pc(zc(e));var t,e},Rc.prototype.meterInMercatorCoordinateUnits=function(){return 1/Cc*(t=zc(this.y),1/Math.cos(t*Math.PI/180));var t};var Fc=function(t,e,r){this.z=t,this.x=e,this.y=r,this.key=jc(0,t,t,e,r)};Fc.prototype.equals=function(t){return this.z===t.z&&this.x===t.x&&this.y===t.y},Fc.prototype.url=function(t,e){var r,n,i,a,o,s=(r=this.x,n=this.y,i=this.z,a=Mc(256*r,256*(n=Math.pow(2,i)-n-1),i),o=Mc(256*(r+1),256*(n+1),i),a[0]+\",\"+a[1]+\",\"+o[0]+\",\"+o[1]),l=function(t,e,r){for(var n,i=\"\",a=t;a>0;a--)i+=(e&(n=1<<a-1)?1:0)+(r&n?2:0);return i}(this.z,this.x,this.y);return t[(this.x+this.y)%t.length].replace(\"{prefix}\",(this.x%16).toString(16)+(this.y%16).toString(16)).replace(\"{z}\",String(this.z)).replace(\"{x}\",String(this.x)).replace(\"{y}\",String(\"tms\"===e?Math.pow(2,this.z)-this.y-1:this.y)).replace(\"{quadkey}\",l).replace(\"{bbox-epsg-3857}\",s)},Fc.prototype.getTilePoint=function(t){var e=Math.pow(2,this.z);return new a((t.x*e-this.x)*co,(t.y*e-this.y)*co)},Fc.prototype.toString=function(){return this.z+\"/\"+this.x+\"/\"+this.y};var Bc=function(t,e){this.wrap=t,this.canonical=e,this.key=jc(t,e.z,e.z,e.x,e.y)},Nc=function(t,e,r,n,i){this.overscaledZ=t,this.wrap=e,this.canonical=new Fc(r,+n,+i),this.key=jc(e,t,r,n,i)};function jc(t,e,r,n,i){(t*=2)<0&&(t=-1*t-1);var a=1<<r;return(a*a*t+a*i+n).toString(36)+r.toString(36)+e.toString(36)}Nc.prototype.equals=function(t){return this.overscaledZ===t.overscaledZ&&this.wrap===t.wrap&&this.canonical.equals(t.canonical)},Nc.prototype.scaledTo=function(t){var e=this.canonical.z-t;return t>this.canonical.z?new Nc(t,this.wrap,this.canonical.z,this.canonical.x,this.canonical.y):new Nc(t,this.wrap,t,this.canonical.x>>e,this.canonical.y>>e)},Nc.prototype.calculateScaledKey=function(t,e){var r=this.canonical.z-t;return t>this.canonical.z?jc(this.wrap*+e,t,this.canonical.z,this.canonical.x,this.canonical.y):jc(this.wrap*+e,t,t,this.canonical.x>>r,this.canonical.y>>r)},Nc.prototype.isChildOf=function(t){if(t.wrap!==this.wrap)return!1;var e=this.canonical.z-t.canonical.z;return 0===t.overscaledZ||t.overscaledZ<this.overscaledZ&&t.canonical.x===this.canonical.x>>e&&t.canonical.y===this.canonical.y>>e},Nc.prototype.children=function(t){if(this.overscaledZ>=t)return[new Nc(this.overscaledZ+1,this.wrap,this.canonical.z,this.canonical.x,this.canonical.y)];var e=this.canonical.z+1,r=2*this.canonical.x,n=2*this.canonical.y;return[new Nc(e,this.wrap,e,r,n),new Nc(e,this.wrap,e,r+1,n),new Nc(e,this.wrap,e,r,n+1),new Nc(e,this.wrap,e,r+1,n+1)]},Nc.prototype.isLessThan=function(t){return this.wrap<t.wrap||!(this.wrap>t.wrap)&&(this.overscaledZ<t.overscaledZ||!(this.overscaledZ>t.overscaledZ)&&(this.canonical.x<t.canonical.x||!(this.canonical.x>t.canonical.x)&&this.canonical.y<t.canonical.y))},Nc.prototype.wrapped=function(){return new Nc(this.overscaledZ,0,this.canonical.z,this.canonical.x,this.canonical.y)},Nc.prototype.unwrapTo=function(t){return new Nc(this.overscaledZ,t,this.canonical.z,this.canonical.x,this.canonical.y)},Nc.prototype.overscaleFactor=function(){return Math.pow(2,this.overscaledZ-this.canonical.z)},Nc.prototype.toUnwrapped=function(){return new Bc(this.wrap,this.canonical)},Nc.prototype.toString=function(){return this.overscaledZ+\"/\"+this.canonical.x+\"/\"+this.canonical.y},Nc.prototype.getTilePoint=function(t){return this.canonical.getTilePoint(new Rc(t.x-this.wrap,t.y))},ni(\"CanonicalTileID\",Fc),ni(\"OverscaledTileID\",Nc,{omit:[\"posMatrix\"]});var Uc=function(t,e,r){if(this.uid=t,e.height!==e.width)throw new RangeError(\"DEM tiles must be square\");if(r&&\"mapbox\"!==r&&\"terrarium\"!==r)return w('\"'+r+'\" is not a valid encoding type. Valid types include \"mapbox\" and \"terrarium\".');this.stride=e.height;var n=this.dim=e.height-2;this.data=new Uint32Array(e.data.buffer),this.encoding=r||\"mapbox\";for(var i=0;i<n;i++)this.data[this._idx(-1,i)]=this.data[this._idx(0,i)],this.data[this._idx(n,i)]=this.data[this._idx(n-1,i)],this.data[this._idx(i,-1)]=this.data[this._idx(i,0)],this.data[this._idx(i,n)]=this.data[this._idx(i,n-1)];this.data[this._idx(-1,-1)]=this.data[this._idx(0,0)],this.data[this._idx(n,-1)]=this.data[this._idx(n-1,0)],this.data[this._idx(-1,n)]=this.data[this._idx(0,n-1)],this.data[this._idx(n,n)]=this.data[this._idx(n-1,n-1)]};Uc.prototype.get=function(t,e){var r=new Uint8Array(this.data.buffer),n=4*this._idx(t,e);return(\"terrarium\"===this.encoding?this._unpackTerrarium:this._unpackMapbox)(r[n],r[n+1],r[n+2])},Uc.prototype.getUnpackVector=function(){return\"terrarium\"===this.encoding?[256,1,1/256,32768]:[6553.6,25.6,.1,1e4]},Uc.prototype._idx=function(t,e){if(t<-1||t>=this.dim+1||e<-1||e>=this.dim+1)throw new RangeError(\"out of range source coordinates for DEM data\");return(e+1)*this.stride+(t+1)},Uc.prototype._unpackMapbox=function(t,e,r){return(256*t*256+256*e+r)/10-1e4},Uc.prototype._unpackTerrarium=function(t,e,r){return 256*t+e+r/256-32768},Uc.prototype.getPixels=function(){return new Wo({width:this.stride,height:this.stride},new Uint8Array(this.data.buffer))},Uc.prototype.backfillBorder=function(t,e,r){if(this.dim!==t.dim)throw new Error(\"dem dimension mismatch\");var n=e*this.dim,i=e*this.dim+this.dim,a=r*this.dim,o=r*this.dim+this.dim;switch(e){case-1:n=i-1;break;case 1:i=n+1}switch(r){case-1:a=o-1;break;case 1:o=a+1}for(var s=-e*this.dim,l=-r*this.dim,u=a;u<o;u++)for(var c=n;c<i;c++)this.data[this._idx(c,u)]=t.data[this._idx(c+s,u+l)]},ni(\"DEMData\",Uc);var Vc=function(t){this._stringToNumber={},this._numberToString=[];for(var e=0;e<t.length;e++){var r=t[e];this._stringToNumber[r]=e,this._numberToString[e]=r}};Vc.prototype.encode=function(t){return this._stringToNumber[t]},Vc.prototype.decode=function(t){return this._numberToString[t]};var Hc=function(t,e,r,n,i){this.type=\"Feature\",this._vectorTileFeature=t,t._z=e,t._x=r,t._y=n,this.properties=t.properties,this.id=i},qc={geometry:{configurable:!0}};qc.geometry.get=function(){return void 0===this._geometry&&(this._geometry=this._vectorTileFeature.toGeoJSON(this._vectorTileFeature._x,this._vectorTileFeature._y,this._vectorTileFeature._z).geometry),this._geometry},qc.geometry.set=function(t){this._geometry=t},Hc.prototype.toJSON=function(){var t={geometry:this.geometry};for(var e in this)\"_geometry\"!==e&&\"_vectorTileFeature\"!==e&&(t[e]=this[e]);return t},Object.defineProperties(Hc.prototype,qc);var Gc=function(){this.state={},this.stateChanges={},this.deletedStates={}};Gc.prototype.updateState=function(t,e,r){var n=String(e);if(this.stateChanges[t]=this.stateChanges[t]||{},this.stateChanges[t][n]=this.stateChanges[t][n]||{},f(this.stateChanges[t][n],r),null===this.deletedStates[t])for(var i in this.deletedStates[t]={},this.state[t])i!==n&&(this.deletedStates[t][i]=null);else if(this.deletedStates[t]&&null===this.deletedStates[t][n])for(var a in this.deletedStates[t][n]={},this.state[t][n])r[a]||(this.deletedStates[t][n][a]=null);else for(var o in r)this.deletedStates[t]&&this.deletedStates[t][n]&&null===this.deletedStates[t][n][o]&&delete this.deletedStates[t][n][o]},Gc.prototype.removeFeatureState=function(t,e,r){if(null!==this.deletedStates[t]){var n=String(e);if(this.deletedStates[t]=this.deletedStates[t]||{},r&&void 0!==e)null!==this.deletedStates[t][n]&&(this.deletedStates[t][n]=this.deletedStates[t][n]||{},this.deletedStates[t][n][r]=null);else if(void 0!==e)if(this.stateChanges[t]&&this.stateChanges[t][n])for(r in this.deletedStates[t][n]={},this.stateChanges[t][n])this.deletedStates[t][n][r]=null;else this.deletedStates[t][n]=null;else this.deletedStates[t]=null}},Gc.prototype.getState=function(t,e){var r=String(e),n=this.state[t]||{},i=this.stateChanges[t]||{},a=f({},n[r],i[r]);if(null===this.deletedStates[t])return{};if(this.deletedStates[t]){var o=this.deletedStates[t][e];if(null===o)return{};for(var s in o)delete a[s]}return a},Gc.prototype.initializeTileState=function(t,e){t.setFeatureState(this.state,e)},Gc.prototype.coalesceChanges=function(t,e){var r={};for(var n in this.stateChanges){this.state[n]=this.state[n]||{};var i={};for(var a in this.stateChanges[n])this.state[n][a]||(this.state[n][a]={}),f(this.state[n][a],this.stateChanges[n][a]),i[a]=this.state[n][a];r[n]=i}for(var o in this.deletedStates){this.state[o]=this.state[o]||{};var s={};if(null===this.deletedStates[o])for(var l in this.state[o])s[l]={},this.state[o][l]={};else for(var u in this.deletedStates[o]){if(null===this.deletedStates[o][u])this.state[o][u]={};else for(var c=0,h=Object.keys(this.deletedStates[o][u]);c<h.length;c+=1){var p=h[c];delete this.state[o][u][p]}s[u]=this.state[o][u]}r[o]=r[o]||{},f(r[o],s)}if(this.stateChanges={},this.deletedStates={},0!==Object.keys(r).length)for(var d in t)t[d].setFeatureState(r,e)};var Zc=function(t,e){this.tileID=t,this.x=t.canonical.x,this.y=t.canonical.y,this.z=t.canonical.z,this.grid=new Kn(co,16,0),this.grid3D=new Kn(co,16,0),this.featureIndexArray=new Ca,this.promoteId=e};function Yc(t,e,r,n,i){return m(t,(function(t,a){var o=e instanceof Ni?e.get(a):null;return o&&o.evaluate?o.evaluate(r,n,i):o}))}function Wc(t){for(var e=1/0,r=1/0,n=-1/0,i=-1/0,a=0,o=t;a<o.length;a+=1){var s=o[a];e=Math.min(e,s.x),r=Math.min(r,s.y),n=Math.max(n,s.x),i=Math.max(i,s.y)}return{minX:e,minY:r,maxX:n,maxY:i}}function Xc(t,e){return e-t}Zc.prototype.insert=function(t,e,r,n,i,a){var o=this.featureIndexArray.length;this.featureIndexArray.emplaceBack(r,n,i);for(var s=a?this.grid3D:this.grid,l=0;l<e.length;l++){for(var u=e[l],c=[1/0,1/0,-1/0,-1/0],f=0;f<u.length;f++){var h=u[f];c[0]=Math.min(c[0],h.x),c[1]=Math.min(c[1],h.y),c[2]=Math.max(c[2],h.x),c[3]=Math.max(c[3],h.y)}c[0]<co&&c[1]<co&&c[2]>=0&&c[3]>=0&&s.insert(o,c[0],c[1],c[2],c[3])}},Zc.prototype.loadVTLayers=function(){return this.vtLayers||(this.vtLayers=new Js.VectorTile(new Sl(this.rawTileData)).layers,this.sourceLayerCoder=new Vc(this.vtLayers?Object.keys(this.vtLayers).sort():[\"_geojsonTileLayer\"])),this.vtLayers},Zc.prototype.query=function(t,e,r,n){var i=this;this.loadVTLayers();for(var o=t.params||{},s=co/t.tileSize/t.scale,l=wn(o.filter),u=t.queryGeometry,c=t.queryPadding*s,f=Wc(u),h=this.grid.query(f.minX-c,f.minY-c,f.maxX+c,f.maxY+c),p=Wc(t.cameraQueryGeometry),d=0,v=this.grid3D.query(p.minX-c,p.minY-c,p.maxX+c,p.maxY+c,(function(e,r,n,i){return function(t,e,r,n,i){for(var o=0,s=t;o<s.length;o+=1){var l=s[o];if(e<=l.x&&r<=l.y&&n>=l.x&&i>=l.y)return!0}var u=[new a(e,r),new a(e,i),new a(n,i),new a(n,r)];if(t.length>2)for(var c=0,f=u;c<f.length;c+=1)if(Mo(t,f[c]))return!0;for(var h=0;h<t.length-1;h++)if(So(t[h],t[h+1],u))return!0;return!1}(t.cameraQueryGeometry,e-c,r-c,n+c,i+c)}));d<v.length;d+=1){var g=v[d];h.push(g)}h.sort(Xc);for(var y,m={},x=function(a){var c=h[a];if(c!==y){y=c;var f=i.featureIndexArray.get(c),p=null;i.loadMatchingFeature(m,f.bucketIndex,f.sourceLayerIndex,f.featureIndex,l,o.layers,o.availableImages,e,r,n,(function(e,r,n){return p||(p=po(e)),r.queryIntersectsFeature(u,e,n,p,i.z,t.transform,s,t.pixelPosMatrix)}))}},b=0;b<h.length;b++)x(b);return m},Zc.prototype.loadMatchingFeature=function(t,e,r,n,i,a,o,s,l,u,c){var f=this.bucketLayerIDs[e];if(!a||function(t,e){for(var r=0;r<t.length;r++)if(e.indexOf(t[r])>=0)return!0;return!1}(a,f)){var h=this.sourceLayerCoder.decode(r),p=this.vtLayers[h].feature(n);if(i.filter(new Pi(this.tileID.overscaledZ),p))for(var d=this.getId(p,h),v=0;v<f.length;v++){var g=f[v];if(!(a&&a.indexOf(g)<0)){var y=s[g];if(y){var m={};void 0!==d&&u&&(m=u.getState(y.sourceLayer||\"_geojsonTileLayer\",d));var x=l[g];x.paint=Yc(x.paint,y.paint,p,m,o),x.layout=Yc(x.layout,y.layout,p,m,o);var b=!c||c(p,y,m);if(b){var _=new Hc(p,this.z,this.x,this.y,d);_.layer=x;var w=t[g];void 0===w&&(w=t[g]=[]),w.push({featureIndex:n,feature:_,intersectionZ:b})}}}}}},Zc.prototype.lookupSymbolFeatures=function(t,e,r,n,i,a,o,s){var l={};this.loadVTLayers();for(var u=wn(i),c=0,f=t;c<f.length;c+=1){var h=f[c];this.loadMatchingFeature(l,r,n,h,u,a,o,s,e)}return l},Zc.prototype.hasLayer=function(t){for(var e=0,r=this.bucketLayerIDs;e<r.length;e+=1)for(var n=0,i=r[e];n<i.length;n+=1)if(t===i[n])return!0;return!1},Zc.prototype.getId=function(t,e){var r=t.id;if(this.promoteId){var n=\"string\"==typeof this.promoteId?this.promoteId:this.promoteId[e];\"boolean\"==typeof(r=t.properties[n])&&(r=Number(r))}return r},ni(\"FeatureIndex\",Zc,{omit:[\"rawTileData\",\"sourceLayerCoder\"]});var Jc=function(t,e){this.tileID=t,this.uid=p(),this.uses=0,this.tileSize=e,this.buckets={},this.expirationTime=null,this.queryPadding=0,this.hasSymbolBuckets=!1,this.hasRTLText=!1,this.dependencies={},this.expiredRequestCount=0,this.state=\"loading\"};Jc.prototype.registerFadeDuration=function(t){var e=t+this.timeAdded;e<F.now()||this.fadeEndTime&&e<this.fadeEndTime||(this.fadeEndTime=e)},Jc.prototype.wasRequested=function(){return\"errored\"===this.state||\"loaded\"===this.state||\"reloading\"===this.state},Jc.prototype.loadVectorData=function(t,e,r){if(this.hasData()&&this.unloadVectorData(),this.state=\"loaded\",t){for(var n in t.featureIndex&&(this.latestFeatureIndex=t.featureIndex,t.rawTileData?(this.latestRawTileData=t.rawTileData,this.latestFeatureIndex.rawTileData=t.rawTileData):this.latestRawTileData&&(this.latestFeatureIndex.rawTileData=this.latestRawTileData)),this.collisionBoxArray=t.collisionBoxArray,this.buckets=function(t,e){var r={};if(!e)return r;for(var n=function(){var t=a[i],n=t.layerIds.map((function(t){return e.getLayer(t)})).filter(Boolean);if(0!==n.length){t.layers=n,t.stateDependentLayerIds&&(t.stateDependentLayers=t.stateDependentLayerIds.map((function(t){return n.filter((function(e){return e.id===t}))[0]})));for(var o=0,s=n;o<s.length;o+=1){var l=s[o];r[l.id]=t}}},i=0,a=t;i<a.length;i+=1)n();return r}(t.buckets,e.style),this.hasSymbolBuckets=!1,this.buckets){var i=this.buckets[n];if(i instanceof sc){if(this.hasSymbolBuckets=!0,!r)break;i.justReloaded=!0}}if(this.hasRTLText=!1,this.hasSymbolBuckets)for(var a in this.buckets){var o=this.buckets[a];if(o instanceof sc&&o.hasRTLText){this.hasRTLText=!0,Ci.isLoading()||Ci.isLoaded()||\"deferred\"!==Ei()||Li();break}}for(var s in this.queryPadding=0,this.buckets){var l=this.buckets[s];this.queryPadding=Math.max(this.queryPadding,e.style.getLayer(s).queryRadius(l))}t.imageAtlas&&(this.imageAtlas=t.imageAtlas),t.glyphAtlasImage&&(this.glyphAtlasImage=t.glyphAtlasImage)}else this.collisionBoxArray=new wa},Jc.prototype.unloadVectorData=function(){for(var t in this.buckets)this.buckets[t].destroy();this.buckets={},this.imageAtlasTexture&&this.imageAtlasTexture.destroy(),this.imageAtlas&&(this.imageAtlas=null),this.glyphAtlasTexture&&this.glyphAtlasTexture.destroy(),this.latestFeatureIndex=null,this.state=\"unloaded\"},Jc.prototype.getBucket=function(t){return this.buckets[t.id]},Jc.prototype.upload=function(t){for(var e in this.buckets){var r=this.buckets[e];r.uploadPending()&&r.upload(t)}var n=t.gl;this.imageAtlas&&!this.imageAtlas.uploaded&&(this.imageAtlasTexture=new Tc(t,this.imageAtlas.image,n.RGBA),this.imageAtlas.uploaded=!0),this.glyphAtlasImage&&(this.glyphAtlasTexture=new Tc(t,this.glyphAtlasImage,n.ALPHA),this.glyphAtlasImage=null)},Jc.prototype.prepare=function(t){this.imageAtlas&&this.imageAtlas.patchUpdatedImages(t,this.imageAtlasTexture)},Jc.prototype.queryRenderedFeatures=function(t,e,r,n,i,a,o,s,l,u){return this.latestFeatureIndex&&this.latestFeatureIndex.rawTileData?this.latestFeatureIndex.query({queryGeometry:n,cameraQueryGeometry:i,scale:a,tileSize:this.tileSize,pixelPosMatrix:u,transform:s,params:o,queryPadding:this.queryPadding*l},t,e,r):{}},Jc.prototype.querySourceFeatures=function(t,e){var r=this.latestFeatureIndex;if(r&&r.rawTileData){var n=r.loadVTLayers(),i=e?e.sourceLayer:\"\",a=n._geojsonTileLayer||n[i];if(a)for(var o=wn(e&&e.filter),s=this.tileID.canonical,l=s.z,u=s.x,c=s.y,f={z:l,x:u,y:c},h=0;h<a.length;h++){var p=a.feature(h);if(o.filter(new Pi(this.tileID.overscaledZ),p)){var d=r.getId(p,i),v=new Hc(p,l,u,c,d);v.tile=f,t.push(v)}}}},Jc.prototype.hasData=function(){return\"loaded\"===this.state||\"reloading\"===this.state||\"expired\"===this.state},Jc.prototype.patternsLoaded=function(){return this.imageAtlas&&!!Object.keys(this.imageAtlas.patternPositions).length},Jc.prototype.setExpiryData=function(t){var e=this.expirationTime;if(t.cacheControl){var r=M(t.cacheControl);r[\"max-age\"]&&(this.expirationTime=Date.now()+1e3*r[\"max-age\"])}else t.expires&&(this.expirationTime=new Date(t.expires).getTime());if(this.expirationTime){var n=Date.now(),i=!1;if(this.expirationTime>n)i=!1;else if(e)if(this.expirationTime<e)i=!0;else{var a=this.expirationTime-e;a?this.expirationTime=n+Math.max(a,3e4):i=!0}else i=!0;i?(this.expiredRequestCount++,this.state=\"expired\"):this.expiredRequestCount=0}},Jc.prototype.getExpiryTimeout=function(){if(this.expirationTime)return this.expiredRequestCount?1e3*(1<<Math.min(this.expiredRequestCount-1,31)):Math.min(this.expirationTime-(new Date).getTime(),Math.pow(2,31)-1)},Jc.prototype.setFeatureState=function(t,e){if(this.latestFeatureIndex&&this.latestFeatureIndex.rawTileData&&0!==Object.keys(t).length){var r=this.latestFeatureIndex.loadVTLayers();for(var n in this.buckets)if(e.style.hasLayer(n)){var i=this.buckets[n],a=i.layers[0].sourceLayer||\"_geojsonTileLayer\",o=r[a],s=t[a];if(o&&s&&0!==Object.keys(s).length){i.update(s,o,this.imageAtlas&&this.imageAtlas.patternPositions||{});var l=e&&e.style&&e.style.getLayer(n);l&&(this.queryPadding=Math.max(this.queryPadding,l.queryRadius(i)))}}}},Jc.prototype.holdingForFade=function(){return void 0!==this.symbolFadeHoldUntil},Jc.prototype.symbolFadeFinished=function(){return!this.symbolFadeHoldUntil||this.symbolFadeHoldUntil<F.now()},Jc.prototype.clearFadeHold=function(){this.symbolFadeHoldUntil=void 0},Jc.prototype.setHoldDuration=function(t){this.symbolFadeHoldUntil=F.now()+t},Jc.prototype.setDependencies=function(t,e){for(var r={},n=0,i=e;n<i.length;n+=1)r[i[n]]=!0;this.dependencies[t]=r},Jc.prototype.hasDependency=function(t,e){for(var r=0,n=t;r<n.length;r+=1){var i=n[r],a=this.dependencies[i];if(a)for(var o=0,s=e;o<s.length;o+=1)if(a[s[o]])return!0}return!1};var Kc=self.performance,$c=function(t){this._marks={start:[t.url,\"start\"].join(\"#\"),end:[t.url,\"end\"].join(\"#\"),measure:t.url.toString()},Kc.mark(this._marks.start)};$c.prototype.finish=function(){Kc.mark(this._marks.end);var t=Kc.getEntriesByName(this._marks.measure);return 0===t.length&&(Kc.measure(this._marks.measure,this._marks.start,this._marks.end),t=Kc.getEntriesByName(this._marks.measure),Kc.clearMarks(this._marks.start),Kc.clearMarks(this._marks.end),Kc.clearMeasures(this._marks.measure)),t},t.Actor=Ac,t.AlphaImage=Yo,t.CanonicalTileID=Fc,t.CollisionBoxArray=wa,t.Color=oe,t.DEMData=Uc,t.DataConstantProperty=ji,t.DictionaryCoder=Vc,t.EXTENT=co,t.ErrorEvent=Ot,t.EvaluationParameters=Pi,t.Event=Pt,t.Evented=It,t.FeatureIndex=Zc,t.FillBucket=Fs,t.FillExtrusionBucket=tl,t.ImageAtlas=ru,t.ImagePosition=tu,t.LineBucket=cl,t.LngLat=Lc,t.LngLatBounds=Sc,t.MercatorCoordinate=Rc,t.ONE_EM=kl,t.OverscaledTileID=Nc,t.Point=a,t.Point$1=a,t.Properties=Gi,t.Protobuf=Sl,t.RGBAImage=Wo,t.RequestManager=q,t.RequestPerformance=$c,t.ResourceType=xt,t.SegmentVector=Oa,t.SourceFeatureState=Gc,t.StructArrayLayout1ui2=ma,t.StructArrayLayout2f1f2i16=ua,t.StructArrayLayout2i4=Qi,t.StructArrayLayout3ui6=fa,t.StructArrayLayout4i8=ta,t.SymbolBucket=sc,t.Texture=Tc,t.Tile=Jc,t.Transitionable=Di,t.Uniform1f=Ya,t.Uniform1i=Za,t.Uniform2f=Wa,t.Uniform3f=Xa,t.Uniform4f=Ja,t.UniformColor=Ka,t.UniformMatrix4f=Qa,t.UnwrappedTileID=Bc,t.ValidationError=zt,t.WritingMode=nu,t.ZoomHistory=ui,t.add=function(t,e,r){return t[0]=e[0]+r[0],t[1]=e[1]+r[1],t[2]=e[2]+r[2],t},t.addDynamicAttributes=nc,t.asyncAll=function(t,e,r){if(!t.length)return r(null,[]);var n=t.length,i=new Array(t.length),a=null;t.forEach((function(t,o){e(t,(function(t,e){t&&(a=t),i[o]=e,0==--n&&r(a,i)}))}))},t.bezier=s,t.bindAll=g,t.browser=F,t.cacheEntryPossiblyAdded=function(t){++yt>ct&&(t.getActor().send(\"enforceCacheSizeLimit\",ut),yt=0)},t.clamp=u,t.clearTileCache=function(t){var e=self.caches.delete(lt);t&&e.catch(t).then((function(){return t()}))},t.clipLine=Ou,t.clone=function(t){var e=new Io(16);return e[0]=t[0],e[1]=t[1],e[2]=t[2],e[3]=t[3],e[4]=t[4],e[5]=t[5],e[6]=t[6],e[7]=t[7],e[8]=t[8],e[9]=t[9],e[10]=t[10],e[11]=t[11],e[12]=t[12],e[13]=t[13],e[14]=t[14],e[15]=t[15],e},t.clone$1=b,t.clone$2=function(t){var e=new Io(3);return e[0]=t[0],e[1]=t[1],e[2]=t[2],e},t.collisionCircleLayout=_l,t.config=B,t.create=function(){var t=new Io(16);return Io!=Float32Array&&(t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[11]=0,t[12]=0,t[13]=0,t[14]=0),t[0]=1,t[5]=1,t[10]=1,t[15]=1,t},t.create$1=function(){var t=new Io(9);return Io!=Float32Array&&(t[1]=0,t[2]=0,t[3]=0,t[5]=0,t[6]=0,t[7]=0),t[0]=1,t[4]=1,t[8]=1,t},t.create$2=function(){var t=new Io(4);return Io!=Float32Array&&(t[1]=0,t[2]=0),t[0]=1,t[3]=1,t},t.createCommonjsModule=e,t.createExpression=ln,t.createLayout=Ki,t.createStyleLayer=function(t){return\"custom\"===t.type?new gc(t):new yc[t.type](t)},t.cross=function(t,e,r){var n=e[0],i=e[1],a=e[2],o=r[0],s=r[1],l=r[2];return t[0]=i*l-a*s,t[1]=a*o-n*l,t[2]=n*s-i*o,t},t.deepEqual=function t(e,r){if(Array.isArray(e)){if(!Array.isArray(r)||e.length!==r.length)return!1;for(var n=0;n<e.length;n++)if(!t(e[n],r[n]))return!1;return!0}if(\"object\"==typeof e&&null!==e&&null!==r){if(\"object\"!=typeof r)return!1;if(Object.keys(e).length!==Object.keys(r).length)return!1;for(var i in e)if(!t(e[i],r[i]))return!1;return!0}return e===r},t.dot=function(t,e){return t[0]*e[0]+t[1]*e[1]+t[2]*e[2]},t.dot$1=function(t,e){return t[0]*e[0]+t[1]*e[1]+t[2]*e[2]+t[3]*e[3]},t.ease=l,t.emitValidationErrors=Jn,t.endsWith=y,t.enforceCacheSizeLimit=function(t){ht(),tt&&tt.then((function(e){e.keys().then((function(r){for(var n=0;n<r.length-t;n++)e.delete(r[n])}))}))},t.evaluateSizeForFeature=wu,t.evaluateSizeForZoom=Tu,t.evaluateVariableOffset=Yu,t.evented=Si,t.extend=f,t.featureFilter=wn,t.filterObject=x,t.fromRotation=function(t,e){var r=Math.sin(e),n=Math.cos(e);return t[0]=n,t[1]=r,t[2]=0,t[3]=-r,t[4]=n,t[5]=0,t[6]=0,t[7]=0,t[8]=1,t},t.getAnchorAlignment=gu,t.getAnchorJustification=Wu,t.getArrayBuffer=kt,t.getImage=Et,t.getJSON=function(t,e){return Tt(f(t,{type:\"json\"}),e)},t.getRTLTextPluginStatus=Ei,t.getReferrer=_t,t.getVideo=function(t,e){var r,n,i=self.document.createElement(\"video\");i.muted=!0,i.onloadstart=function(){e(null,i)};for(var a=0;a<t.length;a++){var 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c={},e.tags)c[f]=e.tags[f];c.mapbox_clip_start=i.start/i.size,c.mapbox_clip_end=i.end/i.size}var h={geometry:o,type:\"Polygon\"===a||\"MultiPolygon\"===a?3:\"LineString\"===a||\"MultiLineString\"===a?2:1,tags:c};null!==e.id&&(h.id=e.id),t.features.push(h)}}function wt(t,e,r,n,i,a){var o=n*n;if(n>0&&e.size<(i?o:n))r.numPoints+=e.length/3;else{for(var s=[],l=0;l<e.length;l+=3)(0===n||e[l+2]>o)&&(r.numSimplified++,s.push(e[l]),s.push(e[l+1])),r.numPoints++;i&&function(t,e){for(var r=0,n=0,i=t.length,a=i-2;n<i;a=n,n+=2)r+=(t[n]-t[a])*(t[n+1]+t[a+1]);if(r>0===e)for(n=0,i=t.length;n<i/2;n+=2){var o=t[n],s=t[n+1];t[n]=t[i-2-n],t[n+1]=t[i-1-n],t[i-2-n]=o,t[i-1-n]=s}}(s,a),t.push(s)}}function Tt(t,e){var r=(e=this.options=function(t,e){for(var r in e)t[r]=e[r];return t}(Object.create(this.options),e)).debug;if(r&&console.time(\"preprocess data\"),e.maxZoom<0||e.maxZoom>24)throw new Error(\"maxZoom should be in the 0-24 range\");if(e.promoteId&&e.generateId)throw new Error(\"promoteId and generateId cannot be used together.\");var n=function(t,e){var r=[];if(\"FeatureCollection\"===t.type)for(var n=0;n<t.features.length;n++)rt(r,t.features[n],e,n);else\"Feature\"===t.type?rt(r,t,e):rt(r,{geometry:t},e);return r}(t,e);this.tiles={},this.tileCoords=[],r&&(console.timeEnd(\"preprocess data\"),console.log(\"index: maxZoom: %d, maxPoints: %d\",e.indexMaxZoom,e.indexMaxPoints),console.time(\"generate tiles\"),this.stats={},this.total=0),(n=function(t,e){var r=e.buffer/e.extent,n=t,i=lt(t,1,-1-r,r,0,-1,2,e),a=lt(t,1,1-r,2+r,0,-1,2,e);return(i||a)&&(n=lt(t,1,-r,1+r,0,-1,2,e)||[],i&&(n=gt(i,1).concat(n)),a&&(n=n.concat(gt(a,-1)))),n}(n,e)).length&&this.splitTile(n,0,0,0),r&&(n.length&&console.log(\"features: %d, points: %d\",this.tiles[0].numFeatures,this.tiles[0].numPoints),console.timeEnd(\"generate tiles\"),console.log(\"tiles generated:\",this.total,JSON.stringify(this.stats)))}function kt(t,e,r){return 32*((1<<t)*r+e)+t}function At(t,e){var r=t.tileID.canonical;if(!this._geoJSONIndex)return e(null,null);var n=this._geoJSONIndex.getTile(r.z,r.x,r.y);if(!n)return e(null,null);var i=new g(n.features),a=_(i);0===a.byteOffset&&a.byteLength===a.buffer.byteLength||(a=new Uint8Array(a)),e(null,{vectorTile:i,rawData:a.buffer})}V.prototype.load=function(t){var e=this.options,r=e.log,n=e.minZoom,i=e.maxZoom,a=e.nodeSize;r&&console.time(\"total time\");var o=\"prepare \"+t.length+\" points\";r&&console.time(o),this.points=t;for(var s=[],l=0;l<t.length;l++)t[l].geometry&&s.push(q(t[l],l));this.trees[i+1]=new j(s,J,K,a,Float32Array),r&&console.timeEnd(o);for(var u=i;u>=n;u--){var c=+Date.now();s=this._cluster(s,u),this.trees[u]=new j(s,J,K,a,Float32Array),r&&console.log(\"z%d: %d clusters in %dms\",u,s.length,+Date.now()-c)}return r&&console.timeEnd(\"total time\"),this},V.prototype.getClusters=function(t,e){var r=((t[0]+180)%360+360)%360-180,n=Math.max(-90,Math.min(90,t[1])),i=180===t[2]?180:((t[2]+180)%360+360)%360-180,a=Math.max(-90,Math.min(90,t[3]));if(t[2]-t[0]>=360)r=-180,i=180;else if(r>i){var o=this.getClusters([r,n,180,a],e),s=this.getClusters([-180,n,i,a],e);return o.concat(s)}for(var l=this.trees[this._limitZoom(e)],u=[],c=0,f=l.range(Y(r),W(a),Y(i),W(n));c<f.length;c+=1){var h=f[c],p=l.points[h];u.push(p.numPoints?G(p):this.points[p.index])}return u},V.prototype.getChildren=function(t){var e=this._getOriginId(t),r=this._getOriginZoom(t),n=\"No cluster with the specified id.\",i=this.trees[r];if(!i)throw new Error(n);var a=i.points[e];if(!a)throw new Error(n);for(var o=this.options.radius/(this.options.extent*Math.pow(2,r-1)),s=[],l=0,u=i.within(a.x,a.y,o);l<u.length;l+=1){var c=u[l],f=i.points[c];f.parentId===t&&s.push(f.numPoints?G(f):this.points[f.index])}if(0===s.length)throw new Error(n);return s},V.prototype.getLeaves=function(t,e,r){e=e||10,r=r||0;var n=[];return this._appendLeaves(n,t,e,r,0),n},V.prototype.getTile=function(t,e,r){var n=this.trees[this._limitZoom(t)],i=Math.pow(2,t),a=this.options,o=a.extent,s=a.radius/o,l=(r-s)/i,u=(r+1+s)/i,c={features:[]};return this._addTileFeatures(n.range((e-s)/i,l,(e+1+s)/i,u),n.points,e,r,i,c),0===e&&this._addTileFeatures(n.range(1-s/i,l,1,u),n.points,i,r,i,c),e===i-1&&this._addTileFeatures(n.range(0,l,s/i,u),n.points,-1,r,i,c),c.features.length?c:null},V.prototype.getClusterExpansionZoom=function(t){for(var e=this._getOriginZoom(t)-1;e<=this.options.maxZoom;){var r=this.getChildren(t);if(e++,1!==r.length)break;t=r[0].properties.cluster_id}return e},V.prototype._appendLeaves=function(t,e,r,n,i){for(var a=0,o=this.getChildren(e);a<o.length;a+=1){var s=o[a],l=s.properties;if(l&&l.cluster?i+l.point_count<=n?i+=l.point_count:i=this._appendLeaves(t,l.cluster_id,r,n,i):i<n?i++:t.push(s),t.length===r)break}return i},V.prototype._addTileFeatures=function(t,e,r,n,i,a){for(var o=0,s=t;o<s.length;o+=1){var l=e[s[o]],u=l.numPoints,c={type:1,geometry:[[Math.round(this.options.extent*(l.x*i-r)),Math.round(this.options.extent*(l.y*i-n))]],tags:u?Z(l):this.points[l.index].properties},f=void 0;u?f=l.id:this.options.generateId?f=l.index:this.points[l.index].id&&(f=this.points[l.index].id),void 0!==f&&(c.id=f),a.features.push(c)}},V.prototype._limitZoom=function(t){return Math.max(this.options.minZoom,Math.min(t,this.options.maxZoom+1))},V.prototype._cluster=function(t,e){for(var r=[],n=this.options,i=n.radius,a=n.extent,o=n.reduce,s=i/(a*Math.pow(2,e)),l=0;l<t.length;l++){var u=t[l];if(!(u.zoom<=e)){u.zoom=e;for(var c=this.trees[e+1],f=c.within(u.x,u.y,s),h=u.numPoints||1,p=u.x*h,d=u.y*h,v=o&&h>1?this._map(u,!0):null,g=(l<<5)+(e+1)+this.points.length,y=0,m=f;y<m.length;y+=1){var x=m[y],b=c.points[x];if(!(b.zoom<=e)){b.zoom=e;var _=b.numPoints||1;p+=b.x*_,d+=b.y*_,h+=_,b.parentId=g,o&&(v||(v=this._map(u,!0)),o(v,this._map(b)))}}1===h?r.push(u):(u.parentId=g,r.push(H(p/h,d/h,g,h,v)))}}return r},V.prototype._getOriginId=function(t){return t-this.points.length>>5},V.prototype._getOriginZoom=function(t){return(t-this.points.length)%32},V.prototype._map=function(t,e){if(t.numPoints)return e?X({},t.properties):t.properties;var r=this.points[t.index].properties,n=this.options.map(r);return e&&n===r?X({},n):n},Tt.prototype.options={maxZoom:14,indexMaxZoom:5,indexMaxPoints:1e5,tolerance:3,extent:4096,buffer:64,lineMetrics:!1,promoteId:null,generateId:!1,debug:0},Tt.prototype.splitTile=function(t,e,r,n,i,a,o){for(var s=[t,e,r,n],l=this.options,u=l.debug;s.length;){n=s.pop(),r=s.pop(),e=s.pop(),t=s.pop();var c=1<<e,f=kt(e,r,n),h=this.tiles[f];if(!h&&(u>1&&console.time(\"creation\"),h=this.tiles[f]=bt(t,e,r,n,l),this.tileCoords.push({z:e,x:r,y:n}),u)){u>1&&(console.log(\"tile z%d-%d-%d (features: %d, points: %d, simplified: %d)\",e,r,n,h.numFeatures,h.numPoints,h.numSimplified),console.timeEnd(\"creation\"));var p=\"z\"+e;this.stats[p]=(this.stats[p]||0)+1,this.total++}if(h.source=t,i){if(e===l.maxZoom||e===i)continue;var d=1<<i-e;if(r!==Math.floor(a/d)||n!==Math.floor(o/d))continue}else if(e===l.indexMaxZoom||h.numPoints<=l.indexMaxPoints)continue;if(h.source=null,0!==t.length){u>1&&console.time(\"clipping\");var v,g,y,m,x,b,_=.5*l.buffer/l.extent,w=.5-_,T=.5+_,k=1+_;v=g=y=m=null,x=lt(t,c,r-_,r+T,0,h.minX,h.maxX,l),b=lt(t,c,r+w,r+k,0,h.minX,h.maxX,l),t=null,x&&(v=lt(x,c,n-_,n+T,1,h.minY,h.maxY,l),g=lt(x,c,n+w,n+k,1,h.minY,h.maxY,l),x=null),b&&(y=lt(b,c,n-_,n+T,1,h.minY,h.maxY,l),m=lt(b,c,n+w,n+k,1,h.minY,h.maxY,l),b=null),u>1&&console.timeEnd(\"clipping\"),s.push(v||[],e+1,2*r,2*n),s.push(g||[],e+1,2*r,2*n+1),s.push(y||[],e+1,2*r+1,2*n),s.push(m||[],e+1,2*r+1,2*n+1)}}},Tt.prototype.getTile=function(t,e,r){var n=this.options,i=n.extent,a=n.debug;if(t<0||t>24)return null;var o=1<<t,s=kt(t,e=(e%o+o)%o,r);if(this.tiles[s])return mt(this.tiles[s],i);a>1&&console.log(\"drilling down to z%d-%d-%d\",t,e,r);for(var l,u=t,c=e,f=r;!l&&u>0;)u--,c=Math.floor(c/2),f=Math.floor(f/2),l=this.tiles[kt(u,c,f)];return l&&l.source?(a>1&&console.log(\"found parent tile z%d-%d-%d\",u,c,f),a>1&&console.time(\"drilling down\"),this.splitTile(l.source,u,c,f,t,e,r),a>1&&console.timeEnd(\"drilling down\"),this.tiles[s]?mt(this.tiles[s],i):null):null};var Mt=function(e){function r(t,r,n,i){e.call(this,t,r,n,At),i&&(this.loadGeoJSON=i)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.loadData=function(t,e){this._pendingCallback&&this._pendingCallback(null,{abandoned:!0}),this._pendingCallback=e,this._pendingLoadDataParams=t,this._state&&\"Idle\"!==this._state?this._state=\"NeedsLoadData\":(this._state=\"Coalescing\",this._loadData())},r.prototype._loadData=function(){var e=this;if(this._pendingCallback&&this._pendingLoadDataParams){var r=this._pendingCallback,n=this._pendingLoadDataParams;delete this._pendingCallback,delete this._pendingLoadDataParams;var i=!!(n&&n.request&&n.request.collectResourceTiming)&&new t.RequestPerformance(n.request);this.loadGeoJSON(n,(function(a,o){if(a||!o)return r(a);if(\"object\"!=typeof o)return r(new Error(\"Input data given to '\"+n.source+\"' is not a valid GeoJSON object.\"));f(o,!0);try{e._geoJSONIndex=n.cluster?new V(function(e){var r=e.superclusterOptions,n=e.clusterProperties;if(!n||!r)return r;for(var i={},a={},o={accumulated:null,zoom:0},s={properties:null},l=Object.keys(n),u=0,c=l;u<c.length;u+=1){var f=c[u],h=n[f],p=h[0],d=h[1],v=t.createExpression(d),g=t.createExpression(\"string\"==typeof p?[p,[\"accumulated\"],[\"get\",f]]:p);i[f]=v.value,a[f]=g.value}return r.map=function(t){s.properties=t;for(var e={},r=0,n=l;r<n.length;r+=1){var a=n[r];e[a]=i[a].evaluate(o,s)}return e},r.reduce=function(t,e){s.properties=e;for(var r=0,n=l;r<n.length;r+=1){var i=n[r];o.accumulated=t[i],t[i]=a[i].evaluate(o,s)}},r}(n)).load(o.features):function(t,e){return new Tt(t,e)}(o,n.geojsonVtOptions)}catch(a){return r(a)}e.loaded={};var s={};if(i){var l=i.finish();l&&(s.resourceTiming={},s.resourceTiming[n.source]=JSON.parse(JSON.stringify(l)))}r(null,s)}))}},r.prototype.coalesce=function(){\"Coalescing\"===this._state?this._state=\"Idle\":\"NeedsLoadData\"===this._state&&(this._state=\"Coalescing\",this._loadData())},r.prototype.reloadTile=function(t,r){var n=this.loaded,i=t.uid;return n&&n[i]?e.prototype.reloadTile.call(this,t,r):this.loadTile(t,r)},r.prototype.loadGeoJSON=function(e,r){if(e.request)t.getJSON(e.request,r);else{if(\"string\"!=typeof e.data)return r(new Error(\"Input data given to '\"+e.source+\"' is not a valid GeoJSON object.\"));try{return r(null,JSON.parse(e.data))}catch(t){return r(new Error(\"Input data given to '\"+e.source+\"' is not a valid GeoJSON object.\"))}}},r.prototype.removeSource=function(t,e){this._pendingCallback&&this._pendingCallback(null,{abandoned:!0}),e()},r.prototype.getClusterExpansionZoom=function(t,e){try{e(null,this._geoJSONIndex.getClusterExpansionZoom(t.clusterId))}catch(t){e(t)}},r.prototype.getClusterChildren=function(t,e){try{e(null,this._geoJSONIndex.getChildren(t.clusterId))}catch(t){e(t)}},r.prototype.getClusterLeaves=function(t,e){try{e(null,this._geoJSONIndex.getLeaves(t.clusterId,t.limit,t.offset))}catch(t){e(t)}},r}(l);var St=function(e){var r=this;this.self=e,this.actor=new t.Actor(e,this),this.layerIndexes={},this.availableImages={},this.workerSourceTypes={vector:l,geojson:Mt},this.workerSources={},this.demWorkerSources={},this.self.registerWorkerSource=function(t,e){if(r.workerSourceTypes[t])throw new Error('Worker source with name \"'+t+'\" already registered.');r.workerSourceTypes[t]=e},this.self.registerRTLTextPlugin=function(e){if(t.plugin.isParsed())throw new Error(\"RTL text plugin already registered.\");t.plugin.applyArabicShaping=e.applyArabicShaping,t.plugin.processBidirectionalText=e.processBidirectionalText,t.plugin.processStyledBidirectionalText=e.processStyledBidirectionalText}};return St.prototype.setReferrer=function(t,e){this.referrer=e},St.prototype.setImages=function(t,e,r){for(var n in this.availableImages[t]=e,this.workerSources[t]){var i=this.workerSources[t][n];for(var a in i)i[a].availableImages=e}r()},St.prototype.setLayers=function(t,e,r){this.getLayerIndex(t).replace(e),r()},St.prototype.updateLayers=function(t,e,r){this.getLayerIndex(t).update(e.layers,e.removedIds),r()},St.prototype.loadTile=function(t,e,r){this.getWorkerSource(t,e.type,e.source).loadTile(e,r)},St.prototype.loadDEMTile=function(t,e,r){this.getDEMWorkerSource(t,e.source).loadTile(e,r)},St.prototype.reloadTile=function(t,e,r){this.getWorkerSource(t,e.type,e.source).reloadTile(e,r)},St.prototype.abortTile=function(t,e,r){this.getWorkerSource(t,e.type,e.source).abortTile(e,r)},St.prototype.removeTile=function(t,e,r){this.getWorkerSource(t,e.type,e.source).removeTile(e,r)},St.prototype.removeDEMTile=function(t,e){this.getDEMWorkerSource(t,e.source).removeTile(e)},St.prototype.removeSource=function(t,e,r){if(this.workerSources[t]&&this.workerSources[t][e.type]&&this.workerSources[t][e.type][e.source]){var n=this.workerSources[t][e.type][e.source];delete this.workerSources[t][e.type][e.source],void 0!==n.removeSource?n.removeSource(e,r):r()}},St.prototype.loadWorkerSource=function(t,e,r){try{this.self.importScripts(e.url),r()}catch(t){r(t.toString())}},St.prototype.syncRTLPluginState=function(e,r,n){try{t.plugin.setState(r);var i=t.plugin.getPluginURL();if(t.plugin.isLoaded()&&!t.plugin.isParsed()&&null!=i){this.self.importScripts(i);var a=t.plugin.isParsed();n(a?void 0:new Error(\"RTL Text Plugin failed to import scripts from \"+i),a)}}catch(t){n(t.toString())}},St.prototype.getAvailableImages=function(t){var e=this.availableImages[t];return e||(e=[]),e},St.prototype.getLayerIndex=function(t){var e=this.layerIndexes[t];return e||(e=this.layerIndexes[t]=new n),e},St.prototype.getWorkerSource=function(t,e,r){var n=this;if(this.workerSources[t]||(this.workerSources[t]={}),this.workerSources[t][e]||(this.workerSources[t][e]={}),!this.workerSources[t][e][r]){var i={send:function(e,r,i){n.actor.send(e,r,i,t)}};this.workerSources[t][e][r]=new this.workerSourceTypes[e](i,this.getLayerIndex(t),this.getAvailableImages(t))}return this.workerSources[t][e][r]},St.prototype.getDEMWorkerSource=function(t,e){return this.demWorkerSources[t]||(this.demWorkerSources[t]={}),this.demWorkerSources[t][e]||(this.demWorkerSources[t][e]=new c),this.demWorkerSources[t][e]},St.prototype.enforceCacheSizeLimit=function(e,r){t.enforceCacheSizeLimit(r)},\"undefined\"!=typeof WorkerGlobalScope&&void 0!==t.window&&t.window instanceof WorkerGlobalScope&&(t.window.worker=new St(t.window)),St})),n(0,(function(t){var e=t.createCommonjsModule((function(t){function e(t){return!r(t)}function r(t){return\"undefined\"!=typeof window&&\"undefined\"!=typeof 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t=document.createElement(\"canvas\");t.width=t.height=1;var e=t.getContext(\"2d\");if(!e)return!1;var r=e.getImageData(0,0,1,1);return r&&r.width===t.width}()?(r=t&&t.failIfMajorPerformanceCaveat,void 0===n[r]&&(n[r]=function(t){var r=function(t){var r=document.createElement(\"canvas\"),n=Object.create(e.webGLContextAttributes);return n.failIfMajorPerformanceCaveat=t,r.probablySupportsContext?r.probablySupportsContext(\"webgl\",n)||r.probablySupportsContext(\"experimental-webgl\",n):r.supportsContext?r.supportsContext(\"webgl\",n)||r.supportsContext(\"experimental-webgl\",n):r.getContext(\"webgl\",n)||r.getContext(\"experimental-webgl\",n)}(t);if(!r)return!1;var n=r.createShader(r.VERTEX_SHADER);return!(!n||r.isContextLost())&&(r.shaderSource(n,\"void main() {}\"),r.compileShader(n),!0===r.getShaderParameter(n,r.COMPILE_STATUS))}(r)),n[r]?void 0:\"insufficient WebGL support\"):\"insufficient Canvas/getImageData support\":\"insufficient ArrayBuffer support\":\"insufficient 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s=i([\"transform\",\"WebkitTransform\"]);r.setTransform=function(t,e){t.style[s]=e};var l=!1;try{var u=Object.defineProperty({},\"passive\",{get:function(){l=!0}});t.window.addEventListener(\"test\",u,u),t.window.removeEventListener(\"test\",u,u)}catch(t){l=!1}r.addEventListener=function(t,e,r,n){void 0===n&&(n={}),\"passive\"in n&&l?t.addEventListener(e,r,n):t.addEventListener(e,r,n.capture)},r.removeEventListener=function(t,e,r,n){void 0===n&&(n={}),\"passive\"in n&&l?t.removeEventListener(e,r,n):t.removeEventListener(e,r,n.capture)};var c=function(e){e.preventDefault(),e.stopPropagation(),t.window.removeEventListener(\"click\",c,!0)};function f(t){var e=t.userImage;return!!(e&&e.render&&e.render())&&(t.data.replace(new Uint8Array(e.data.buffer)),!0)}r.suppressClick=function(){t.window.addEventListener(\"click\",c,!0),t.window.setTimeout((function(){t.window.removeEventListener(\"click\",c,!0)}),0)},r.mousePos=function(e,r){var n=e.getBoundingClientRect();return new 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n=r[e],i=n.ids,a=n.callback;this._notify(i,a)}this.requestors=[]}},r.prototype.getImage=function(t){return this.images[t]},r.prototype.addImage=function(t,e){this._validate(t,e)&&(this.images[t]=e)},r.prototype._validate=function(e,r){var n=!0;return this._validateStretch(r.stretchX,r.data&&r.data.width)||(this.fire(new t.ErrorEvent(new Error('Image \"'+e+'\" has invalid \"stretchX\" value'))),n=!1),this._validateStretch(r.stretchY,r.data&&r.data.height)||(this.fire(new t.ErrorEvent(new Error('Image \"'+e+'\" has invalid \"stretchY\" value'))),n=!1),this._validateContent(r.content,r)||(this.fire(new t.ErrorEvent(new Error('Image \"'+e+'\" has invalid \"content\" value'))),n=!1),n},r.prototype._validateStretch=function(t,e){if(!t)return!0;for(var r=0,n=0,i=t;n<i.length;n+=1){var 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s=this.images[o];s?n[o]={data:s.data.clone(),pixelRatio:s.pixelRatio,sdf:s.sdf,version:s.version,stretchX:s.stretchX,stretchY:s.stretchY,content:s.content,hasRenderCallback:Boolean(s.userImage&&s.userImage.render)}:t.warnOnce('Image \"'+o+'\" could not be loaded. Please make sure you have added the image with map.addImage() or a \"sprite\" property in your style. You can provide missing images by listening for the \"styleimagemissing\" map event.')}r(null,n)},r.prototype.getPixelSize=function(){var t=this.atlasImage;return{width:t.width,height:t.height}},r.prototype.getPattern=function(e){var r=this.patterns[e],n=this.getImage(e);if(!n)return null;if(r&&r.position.version===n.version)return r.position;if(r)r.position.version=n.version;else{var i={w:n.data.width+2,h:n.data.height+2,x:0,y:0},a=new t.ImagePosition(i,n);this.patterns[e]={bin:i,position:a}}return this._updatePatternAtlas(),this.patterns[e].position},r.prototype.bind=function(e){var r=e.gl;this.atlasTexture?this.dirty&&(this.atlasTexture.update(this.atlasImage),this.dirty=!1):this.atlasTexture=new t.Texture(e,this.atlasImage,r.RGBA),this.atlasTexture.bind(r.LINEAR,r.CLAMP_TO_EDGE)},r.prototype._updatePatternAtlas=function(){var e=[];for(var r in this.patterns)e.push(this.patterns[r].bin);var n=t.potpack(e),i=n.w,a=n.h,o=this.atlasImage;for(var s in o.resize({width:i||1,height:a||1}),this.patterns){var l=this.patterns[s].bin,u=l.x+1,c=l.y+1,f=this.images[s].data,h=f.width,p=f.height;t.RGBAImage.copy(f,o,{x:0,y:0},{x:u,y:c},{width:h,height:p}),t.RGBAImage.copy(f,o,{x:0,y:p-1},{x:u,y:c-1},{width:h,height:1}),t.RGBAImage.copy(f,o,{x:0,y:0},{x:u,y:c+p},{width:h,height:1}),t.RGBAImage.copy(f,o,{x:h-1,y:0},{x:u-1,y:c},{width:1,height:p}),t.RGBAImage.copy(f,o,{x:0,y:0},{x:u+h,y:c},{width:1,height:p})}this.dirty=!0},r.prototype.beginFrame=function(){this.callbackDispatchedThisFrame={}},r.prototype.dispatchRenderCallbacks=function(t){for(var e=0,r=t;e<r.length;e+=1){var n=r[e];if(!this.callbackDispatchedThisFrame[n]){this.callbackDispatchedThisFrame[n]=!0;var i=this.images[n];f(i)&&this.updateImage(n,i)}}},r}(t.Evented);var p=g,d=g,v=1e20;function g(t,e,r,n,i,a){this.fontSize=t||24,this.buffer=void 0===e?3:e,this.cutoff=n||.25,this.fontFamily=i||\"sans-serif\",this.fontWeight=a||\"normal\",this.radius=r||8;var o=this.size=this.fontSize+2*this.buffer;this.canvas=document.createElement(\"canvas\"),this.canvas.width=this.canvas.height=o,this.ctx=this.canvas.getContext(\"2d\"),this.ctx.font=this.fontWeight+\" \"+this.fontSize+\"px \"+this.fontFamily,this.ctx.textBaseline=\"middle\",this.ctx.fillStyle=\"black\",this.gridOuter=new Float64Array(o*o),this.gridInner=new Float64Array(o*o),this.f=new Float64Array(o),this.d=new Float64Array(o),this.z=new Float64Array(o+1),this.v=new Int16Array(o),this.middle=Math.round(o/2*(navigator.userAgent.indexOf(\"Gecko/\")>=0?1.2:1))}function y(t,e,r,n,i,a,o){for(var s=0;s<e;s++){for(var l=0;l<r;l++)n[l]=t[l*e+s];for(m(n,i,a,o,r),l=0;l<r;l++)t[l*e+s]=i[l]}for(l=0;l<r;l++){for(s=0;s<e;s++)n[s]=t[l*e+s];for(m(n,i,a,o,e),s=0;s<e;s++)t[l*e+s]=Math.sqrt(i[s])}}function m(t,e,r,n,i){r[0]=0,n[0]=-v,n[1]=+v;for(var a=1,o=0;a<i;a++){for(var s=(t[a]+a*a-(t[r[o]]+r[o]*r[o]))/(2*a-2*r[o]);s<=n[o];)o--,s=(t[a]+a*a-(t[r[o]]+r[o]*r[o]))/(2*a-2*r[o]);r[++o]=a,n[o]=s,n[o+1]=+v}for(a=0,o=0;a<i;a++){for(;n[o+1]<a;)o++;e[a]=(a-r[o])*(a-r[o])+t[r[o]]}}g.prototype.draw=function(t){this.ctx.clearRect(0,0,this.size,this.size),this.ctx.fillText(t,this.buffer,this.middle);for(var e=this.ctx.getImageData(0,0,this.size,this.size),r=new Uint8ClampedArray(this.size*this.size),n=0;n<this.size*this.size;n++){var i=e.data[4*n+3]/255;this.gridOuter[n]=1===i?0:0===i?v:Math.pow(Math.max(0,.5-i),2),this.gridInner[n]=1===i?v:0===i?0:Math.pow(Math.max(0,i-.5),2)}for(y(this.gridOuter,this.size,this.size,this.f,this.d,this.v,this.z),y(this.gridInner,this.size,this.size,this.f,this.d,this.v,this.z),n=0;n<this.size*this.size;n++){var a=this.gridOuter[n]-this.gridInner[n];r[n]=Math.max(0,Math.min(255,Math.round(255-255*(a/this.radius+this.cutoff))))}return r},p.default=d;var x=function(t,e){this.requestManager=t,this.localIdeographFontFamily=e,this.entries={}};x.prototype.setURL=function(t){this.url=t},x.prototype.getGlyphs=function(e,r){var n=this,i=[];for(var a in e)for(var o=0,s=e[a];o<s.length;o+=1){var l=s[o];i.push({stack:a,id:l})}t.asyncAll(i,(function(t,e){var r=t.stack,i=t.id,a=n.entries[r];a||(a=n.entries[r]={glyphs:{},requests:{},ranges:{}});var o=a.glyphs[i];if(void 0===o){if(o=n._tinySDF(a,r,i))return a.glyphs[i]=o,void e(null,{stack:r,id:i,glyph:o});var s=Math.floor(i/256);if(256*s>65535)e(new Error(\"glyphs > 65535 not supported\"));else if(a.ranges[s])e(null,{stack:r,id:i,glyph:o});else{var l=a.requests[s];l||(l=a.requests[s]=[],x.loadGlyphRange(r,s,n.url,n.requestManager,(function(t,e){if(e){for(var r in e)n._doesCharSupportLocalGlyph(+r)||(a.glyphs[+r]=e[+r]);a.ranges[s]=!0}for(var i=0,o=l;i<o.length;i+=1)(0,o[i])(t,e);delete a.requests[s]}))),l.push((function(t,n){t?e(t):n&&e(null,{stack:r,id:i,glyph:n[i]||null})}))}}else e(null,{stack:r,id:i,glyph:o})}),(function(t,e){if(t)r(t);else if(e){for(var n={},i=0,a=e;i<a.length;i+=1){var o=a[i],s=o.stack,l=o.id,u=o.glyph;(n[s]||(n[s]={}))[l]=u&&{id:u.id,bitmap:u.bitmap.clone(),metrics:u.metrics}}r(null,n)}}))},x.prototype._doesCharSupportLocalGlyph=function(e){return!!this.localIdeographFontFamily&&(t.isChar[\"CJK Unified Ideographs\"](e)||t.isChar[\"Hangul Syllables\"](e)||t.isChar.Hiragana(e)||t.isChar.Katakana(e))},x.prototype._tinySDF=function(e,r,n){var i=this.localIdeographFontFamily;if(i&&this._doesCharSupportLocalGlyph(n)){var a=e.tinySDF;if(!a){var o=\"400\";/bold/i.test(r)?o=\"900\":/medium/i.test(r)?o=\"500\":/light/i.test(r)&&(o=\"200\"),a=e.tinySDF=new x.TinySDF(24,3,8,.25,i,o)}return{id:n,bitmap:new t.AlphaImage({width:30,height:30},a.draw(String.fromCharCode(n))),metrics:{width:24,height:24,left:0,top:-8,advance:24}}}},x.loadGlyphRange=function(e,r,n,i,a){var o=256*r,s=o+255,l=i.transformRequest(i.normalizeGlyphsURL(n).replace(\"{fontstack}\",e).replace(\"{range}\",o+\"-\"+s),t.ResourceType.Glyphs);t.getArrayBuffer(l,(function(e,r){if(e)a(e);else if(r){for(var n={},i=0,o=t.parseGlyphPBF(r);i<o.length;i+=1){var s=o[i];n[s.id]=s}a(null,n)}}))},x.TinySDF=p;var b=function(){this.specification=t.styleSpec.light.position};b.prototype.possiblyEvaluate=function(e,r){return t.sphericalToCartesian(e.expression.evaluate(r))},b.prototype.interpolate=function(e,r,n){return{x:t.number(e.x,r.x,n),y:t.number(e.y,r.y,n),z:t.number(e.z,r.z,n)}};var _=new t.Properties({anchor:new t.DataConstantProperty(t.styleSpec.light.anchor),position:new b,color:new t.DataConstantProperty(t.styleSpec.light.color),intensity:new t.DataConstantProperty(t.styleSpec.light.intensity)}),w=\"-transition\",T=function(e){function r(r){e.call(this),this._transitionable=new t.Transitionable(_),this.setLight(r),this._transitioning=this._transitionable.untransitioned()}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.getLight=function(){return this._transitionable.serialize()},r.prototype.setLight=function(e,r){if(void 0===r&&(r={}),!this._validate(t.validateLight,e,r))for(var n in e){var i=e[n];t.endsWith(n,w)?this._transitionable.setTransition(n.slice(0,-11),i):this._transitionable.setValue(n,i)}},r.prototype.updateTransitions=function(t){this._transitioning=this._transitionable.transitioned(t,this._transitioning)},r.prototype.hasTransition=function(){return this._transitioning.hasTransition()},r.prototype.recalculate=function(t){this.properties=this._transitioning.possiblyEvaluate(t)},r.prototype._validate=function(e,r,n){return(!n||!1!==n.validate)&&t.emitValidationErrors(this,e.call(t.validateStyle,t.extend({value:r,style:{glyphs:!0,sprite:!0},styleSpec:t.styleSpec})))},r}(t.Evented),k=function(t,e){this.width=t,this.height=e,this.nextRow=0,this.data=new Uint8Array(this.width*this.height),this.dashEntry={}};k.prototype.getDash=function(t,e){var r=t.join(\",\")+String(e);return this.dashEntry[r]||(this.dashEntry[r]=this.addDash(t,e)),this.dashEntry[r]},k.prototype.getDashRanges=function(t,e,r){var n=[],i=t.length%2==1?-t[t.length-1]*r:0,a=t[0]*r,o=!0;n.push({left:i,right:a,isDash:o,zeroLength:0===t[0]});for(var s=t[0],l=1;l<t.length;l++){o=!o;var u=t[l];i=s*r,a=(s+=u)*r,n.push({left:i,right:a,isDash:o,zeroLength:0===u})}return n},k.prototype.addRoundDash=function(t,e,r){for(var n=e/2,i=-r;i<=r;i++)for(var a=this.nextRow+r+i,o=this.width*a,s=0,l=t[s],u=0;u<this.width;u++){u/l.right>1&&(l=t[++s]);var c=Math.abs(u-l.left),f=Math.abs(u-l.right),h=Math.min(c,f),p=void 0,d=i/r*(n+1);if(l.isDash){var v=n-Math.abs(d);p=Math.sqrt(h*h+v*v)}else p=n-Math.sqrt(h*h+d*d);this.data[o+u]=Math.max(0,Math.min(255,p+128))}},k.prototype.addRegularDash=function(t){for(var e=t.length-1;e>=0;--e){var r=t[e],n=t[e+1];r.zeroLength?t.splice(e,1):n&&n.isDash===r.isDash&&(n.left=r.left,t.splice(e,1))}var i=t[0],a=t[t.length-1];i.isDash===a.isDash&&(i.left=a.left-this.width,a.right=i.right+this.width);for(var o=this.width*this.nextRow,s=0,l=t[s],u=0;u<this.width;u++){u/l.right>1&&(l=t[++s]);var c=Math.abs(u-l.left),f=Math.abs(u-l.right),h=Math.min(c,f),p=l.isDash?h:-h;this.data[o+u]=Math.max(0,Math.min(255,p+128))}},k.prototype.addDash=function(e,r){var n=r?7:0,i=2*n+1;if(this.nextRow+i>this.height)return t.warnOnce(\"LineAtlas out of space\"),null;for(var a=0,o=0;o<e.length;o++)a+=e[o];if(0!==a){var s=this.width/a,l=this.getDashRanges(e,this.width,s);r?this.addRoundDash(l,s,n):this.addRegularDash(l)}var u={y:(this.nextRow+n+.5)/this.height,height:2*n/this.height,width:a};return this.nextRow+=i,this.dirty=!0,u},k.prototype.bind=function(t){var e=t.gl;this.texture?(e.bindTexture(e.TEXTURE_2D,this.texture),this.dirty&&(this.dirty=!1,e.texSubImage2D(e.TEXTURE_2D,0,0,0,this.width,this.height,e.ALPHA,e.UNSIGNED_BYTE,this.data))):(this.texture=e.createTexture(),e.bindTexture(e.TEXTURE_2D,this.texture),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_WRAP_S,e.REPEAT),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_WRAP_T,e.REPEAT),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MIN_FILTER,e.LINEAR),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MAG_FILTER,e.LINEAR),e.texImage2D(e.TEXTURE_2D,0,e.ALPHA,this.width,this.height,0,e.ALPHA,e.UNSIGNED_BYTE,this.data))};var A=function e(r,n){this.workerPool=r,this.actors=[],this.currentActor=0,this.id=t.uniqueId();for(var i=this.workerPool.acquire(this.id),a=0;a<i.length;a++){var o=i[a],s=new e.Actor(o,n,this.id);s.name=\"Worker \"+a,this.actors.push(s)}};function M(e,r,n){var i=function(i,a){if(i)return n(i);if(a){var o=t.pick(t.extend(a,e),[\"tiles\",\"minzoom\",\"maxzoom\",\"attribution\",\"mapbox_logo\",\"bounds\",\"scheme\",\"tileSize\",\"encoding\"]);a.vector_layers&&(o.vectorLayers=a.vector_layers,o.vectorLayerIds=o.vectorLayers.map((function(t){return t.id}))),o.tiles=r.canonicalizeTileset(o,e.url),n(null,o)}};return e.url?t.getJSON(r.transformRequest(r.normalizeSourceURL(e.url),t.ResourceType.Source),i):t.browser.frame((function(){return i(null,e)}))}A.prototype.broadcast=function(e,r,n){n=n||function(){},t.asyncAll(this.actors,(function(t,n){t.send(e,r,n)}),n)},A.prototype.getActor=function(){return this.currentActor=(this.currentActor+1)%this.actors.length,this.actors[this.currentActor]},A.prototype.remove=function(){this.actors.forEach((function(t){t.remove()})),this.actors=[],this.workerPool.release(this.id)},A.Actor=t.Actor;var S=function(e,r,n){this.bounds=t.LngLatBounds.convert(this.validateBounds(e)),this.minzoom=r||0,this.maxzoom=n||24};S.prototype.validateBounds=function(t){return Array.isArray(t)&&4===t.length?[Math.max(-180,t[0]),Math.max(-90,t[1]),Math.min(180,t[2]),Math.min(90,t[3])]:[-180,-90,180,90]},S.prototype.contains=function(e){var r=Math.pow(2,e.z),n=Math.floor(t.mercatorXfromLng(this.bounds.getWest())*r),i=Math.floor(t.mercatorYfromLat(this.bounds.getNorth())*r),a=Math.ceil(t.mercatorXfromLng(this.bounds.getEast())*r),o=Math.ceil(t.mercatorYfromLat(this.bounds.getSouth())*r);return e.x>=n&&e.x<a&&e.y>=i&&e.y<o};var E=function(e){function r(r,n,i,a){if(e.call(this),this.id=r,this.dispatcher=i,this.type=\"vector\",this.minzoom=0,this.maxzoom=22,this.scheme=\"xyz\",this.tileSize=512,this.reparseOverscaled=!0,this.isTileClipped=!0,this._loaded=!1,t.extend(this,t.pick(n,[\"url\",\"scheme\",\"tileSize\",\"promoteId\"])),this._options=t.extend({type:\"vector\"},n),this._collectResourceTiming=n.collectResourceTiming,512!==this.tileSize)throw new Error(\"vector tile sources must have a tileSize of 512\");this.setEventedParent(a)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){var e=this;this._loaded=!1,this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this._tileJSONRequest=M(this._options,this.map._requestManager,(function(r,n){e._tileJSONRequest=null,e._loaded=!0,r?e.fire(new t.ErrorEvent(r)):n&&(t.extend(e,n),n.bounds&&(e.tileBounds=new S(n.bounds,e.minzoom,e.maxzoom)),t.postTurnstileEvent(n.tiles,e.map._requestManager._customAccessToken),t.postMapLoadEvent(n.tiles,e.map._getMapId(),e.map._requestManager._skuToken,e.map._requestManager._customAccessToken),e.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"metadata\"})),e.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"content\"})))}))},r.prototype.loaded=function(){return this._loaded},r.prototype.hasTile=function(t){return!this.tileBounds||this.tileBounds.contains(t.canonical)},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.onRemove=function(){this._tileJSONRequest&&(this._tileJSONRequest.cancel(),this._tileJSONRequest=null)},r.prototype.serialize=function(){return t.extend({},this._options)},r.prototype.loadTile=function(e,r){var n=this.map._requestManager.normalizeTileURL(e.tileID.canonical.url(this.tiles,this.scheme)),i={request:this.map._requestManager.transformRequest(n,t.ResourceType.Tile),uid:e.uid,tileID:e.tileID,zoom:e.tileID.overscaledZ,tileSize:this.tileSize*e.tileID.overscaleFactor(),type:this.type,source:this.id,pixelRatio:t.browser.devicePixelRatio,showCollisionBoxes:this.map.showCollisionBoxes,promoteId:this.promoteId};function a(n,i){return delete e.request,e.aborted?r(null):n&&404!==n.status?r(n):(i&&i.resourceTiming&&(e.resourceTiming=i.resourceTiming),this.map._refreshExpiredTiles&&i&&e.setExpiryData(i),e.loadVectorData(i,this.map.painter),t.cacheEntryPossiblyAdded(this.dispatcher),r(null),void(e.reloadCallback&&(this.loadTile(e,e.reloadCallback),e.reloadCallback=null)))}i.request.collectResourceTiming=this._collectResourceTiming,e.actor&&\"expired\"!==e.state?\"loading\"===e.state?e.reloadCallback=r:e.request=e.actor.send(\"reloadTile\",i,a.bind(this)):(e.actor=this.dispatcher.getActor(),e.request=e.actor.send(\"loadTile\",i,a.bind(this)))},r.prototype.abortTile=function(t){t.request&&(t.request.cancel(),delete t.request),t.actor&&t.actor.send(\"abortTile\",{uid:t.uid,type:this.type,source:this.id},void 0)},r.prototype.unloadTile=function(t){t.unloadVectorData(),t.actor&&t.actor.send(\"removeTile\",{uid:t.uid,type:this.type,source:this.id},void 0)},r.prototype.hasTransition=function(){return!1},r}(t.Evented),L=function(e){function r(r,n,i,a){e.call(this),this.id=r,this.dispatcher=i,this.setEventedParent(a),this.type=\"raster\",this.minzoom=0,this.maxzoom=22,this.roundZoom=!0,this.scheme=\"xyz\",this.tileSize=512,this._loaded=!1,this._options=t.extend({type:\"raster\"},n),t.extend(this,t.pick(n,[\"url\",\"scheme\",\"tileSize\"]))}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){var e=this;this._loaded=!1,this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this._tileJSONRequest=M(this._options,this.map._requestManager,(function(r,n){e._tileJSONRequest=null,e._loaded=!0,r?e.fire(new t.ErrorEvent(r)):n&&(t.extend(e,n),n.bounds&&(e.tileBounds=new S(n.bounds,e.minzoom,e.maxzoom)),t.postTurnstileEvent(n.tiles),t.postMapLoadEvent(n.tiles,e.map._getMapId(),e.map._requestManager._skuToken),e.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"metadata\"})),e.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"content\"})))}))},r.prototype.loaded=function(){return this._loaded},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.onRemove=function(){this._tileJSONRequest&&(this._tileJSONRequest.cancel(),this._tileJSONRequest=null)},r.prototype.serialize=function(){return t.extend({},this._options)},r.prototype.hasTile=function(t){return!this.tileBounds||this.tileBounds.contains(t.canonical)},r.prototype.loadTile=function(e,r){var n=this,i=this.map._requestManager.normalizeTileURL(e.tileID.canonical.url(this.tiles,this.scheme),this.tileSize);e.request=t.getImage(this.map._requestManager.transformRequest(i,t.ResourceType.Tile),(function(i,a){if(delete e.request,e.aborted)e.state=\"unloaded\",r(null);else if(i)e.state=\"errored\",r(i);else if(a){n.map._refreshExpiredTiles&&e.setExpiryData(a),delete a.cacheControl,delete a.expires;var o=n.map.painter.context,s=o.gl;e.texture=n.map.painter.getTileTexture(a.width),e.texture?e.texture.update(a,{useMipmap:!0}):(e.texture=new t.Texture(o,a,s.RGBA,{useMipmap:!0}),e.texture.bind(s.LINEAR,s.CLAMP_TO_EDGE,s.LINEAR_MIPMAP_NEAREST),o.extTextureFilterAnisotropic&&s.texParameterf(s.TEXTURE_2D,o.extTextureFilterAnisotropic.TEXTURE_MAX_ANISOTROPY_EXT,o.extTextureFilterAnisotropicMax)),e.state=\"loaded\",t.cacheEntryPossiblyAdded(n.dispatcher),r(null)}}))},r.prototype.abortTile=function(t,e){t.request&&(t.request.cancel(),delete t.request),e()},r.prototype.unloadTile=function(t,e){t.texture&&this.map.painter.saveTileTexture(t.texture),e()},r.prototype.hasTransition=function(){return!1},r}(t.Evented),C=function(e){function r(r,n,i,a){e.call(this,r,n,i,a),this.type=\"raster-dem\",this.maxzoom=22,this._options=t.extend({type:\"raster-dem\"},n),this.encoding=n.encoding||\"mapbox\"}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.serialize=function(){return{type:\"raster-dem\",url:this.url,tileSize:this.tileSize,tiles:this.tiles,bounds:this.bounds,encoding:this.encoding}},r.prototype.loadTile=function(e,r){var n=this.map._requestManager.normalizeTileURL(e.tileID.canonical.url(this.tiles,this.scheme),this.tileSize);function i(t,n){t&&(e.state=\"errored\",r(t)),n&&(e.dem=n,e.needsHillshadePrepare=!0,e.state=\"loaded\",r(null))}e.request=t.getImage(this.map._requestManager.transformRequest(n,t.ResourceType.Tile),function(n,a){if(delete e.request,e.aborted)e.state=\"unloaded\",r(null);else if(n)e.state=\"errored\",r(n);else if(a){this.map._refreshExpiredTiles&&e.setExpiryData(a),delete a.cacheControl,delete a.expires;var o=t.window.ImageBitmap&&a instanceof t.window.ImageBitmap&&t.offscreenCanvasSupported()?a:t.browser.getImageData(a,1),s={uid:e.uid,coord:e.tileID,source:this.id,rawImageData:o,encoding:this.encoding};e.actor&&\"expired\"!==e.state||(e.actor=this.dispatcher.getActor(),e.actor.send(\"loadDEMTile\",s,i.bind(this)))}}.bind(this)),e.neighboringTiles=this._getNeighboringTiles(e.tileID)},r.prototype._getNeighboringTiles=function(e){var r=e.canonical,n=Math.pow(2,r.z),i=(r.x-1+n)%n,a=0===r.x?e.wrap-1:e.wrap,o=(r.x+1+n)%n,s=r.x+1===n?e.wrap+1:e.wrap,l={};return l[new t.OverscaledTileID(e.overscaledZ,a,r.z,i,r.y).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,s,r.z,o,r.y).key]={backfilled:!1},r.y>0&&(l[new t.OverscaledTileID(e.overscaledZ,a,r.z,i,r.y-1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,e.wrap,r.z,r.x,r.y-1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,s,r.z,o,r.y-1).key]={backfilled:!1}),r.y+1<n&&(l[new t.OverscaledTileID(e.overscaledZ,a,r.z,i,r.y+1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,e.wrap,r.z,r.x,r.y+1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,s,r.z,o,r.y+1).key]={backfilled:!1}),l},r.prototype.unloadTile=function(t){t.demTexture&&this.map.painter.saveTileTexture(t.demTexture),t.fbo&&(t.fbo.destroy(),delete t.fbo),t.dem&&delete t.dem,delete t.neighboringTiles,t.state=\"unloaded\",t.actor&&t.actor.send(\"removeDEMTile\",{uid:t.uid,source:this.id})},r}(L),P=function(e){function r(r,n,i,a){e.call(this),this.id=r,this.type=\"geojson\",this.minzoom=0,this.maxzoom=18,this.tileSize=512,this.isTileClipped=!0,this.reparseOverscaled=!0,this._removed=!1,this._loaded=!1,this.actor=i.getActor(),this.setEventedParent(a),this._data=n.data,this._options=t.extend({},n),this._collectResourceTiming=n.collectResourceTiming,this._resourceTiming=[],void 0!==n.maxzoom&&(this.maxzoom=n.maxzoom),n.type&&(this.type=n.type),n.attribution&&(this.attribution=n.attribution),this.promoteId=n.promoteId;var o=t.EXTENT/this.tileSize;this.workerOptions=t.extend({source:this.id,cluster:n.cluster||!1,geojsonVtOptions:{buffer:(void 0!==n.buffer?n.buffer:128)*o,tolerance:(void 0!==n.tolerance?n.tolerance:.375)*o,extent:t.EXTENT,maxZoom:this.maxzoom,lineMetrics:n.lineMetrics||!1,generateId:n.generateId||!1},superclusterOptions:{maxZoom:void 0!==n.clusterMaxZoom?Math.min(n.clusterMaxZoom,this.maxzoom-1):this.maxzoom-1,extent:t.EXTENT,radius:(n.clusterRadius||50)*o,log:!1,generateId:n.generateId||!1},clusterProperties:n.clusterProperties},n.workerOptions)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){var e=this;this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this._updateWorkerData((function(r){if(r)e.fire(new t.ErrorEvent(r));else{var n={dataType:\"source\",sourceDataType:\"metadata\"};e._collectResourceTiming&&e._resourceTiming&&e._resourceTiming.length>0&&(n.resourceTiming=e._resourceTiming,e._resourceTiming=[]),e.fire(new t.Event(\"data\",n))}}))},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.setData=function(e){var r=this;return this._data=e,this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this._updateWorkerData((function(e){if(e)r.fire(new t.ErrorEvent(e));else{var n={dataType:\"source\",sourceDataType:\"content\"};r._collectResourceTiming&&r._resourceTiming&&r._resourceTiming.length>0&&(n.resourceTiming=r._resourceTiming,r._resourceTiming=[]),r.fire(new t.Event(\"data\",n))}})),this},r.prototype.getClusterExpansionZoom=function(t,e){return this.actor.send(\"geojson.getClusterExpansionZoom\",{clusterId:t,source:this.id},e),this},r.prototype.getClusterChildren=function(t,e){return this.actor.send(\"geojson.getClusterChildren\",{clusterId:t,source:this.id},e),this},r.prototype.getClusterLeaves=function(t,e,r,n){return this.actor.send(\"geojson.getClusterLeaves\",{source:this.id,clusterId:t,limit:e,offset:r},n),this},r.prototype._updateWorkerData=function(e){var r=this;this._loaded=!1;var n=t.extend({},this.workerOptions),i=this._data;\"string\"==typeof i?(n.request=this.map._requestManager.transformRequest(t.browser.resolveURL(i),t.ResourceType.Source),n.request.collectResourceTiming=this._collectResourceTiming):n.data=JSON.stringify(i),this.actor.send(this.type+\".loadData\",n,(function(t,i){r._removed||i&&i.abandoned||(r._loaded=!0,i&&i.resourceTiming&&i.resourceTiming[r.id]&&(r._resourceTiming=i.resourceTiming[r.id].slice(0)),r.actor.send(r.type+\".coalesce\",{source:n.source},null),e(t))}))},r.prototype.loaded=function(){return this._loaded},r.prototype.loadTile=function(e,r){var n=this,i=e.actor?\"reloadTile\":\"loadTile\";e.actor=this.actor;var a={type:this.type,uid:e.uid,tileID:e.tileID,zoom:e.tileID.overscaledZ,maxZoom:this.maxzoom,tileSize:this.tileSize,source:this.id,pixelRatio:t.browser.devicePixelRatio,showCollisionBoxes:this.map.showCollisionBoxes,promoteId:this.promoteId};e.request=this.actor.send(i,a,(function(t,a){return delete e.request,e.unloadVectorData(),e.aborted?r(null):t?r(t):(e.loadVectorData(a,n.map.painter,\"reloadTile\"===i),r(null))}))},r.prototype.abortTile=function(t){t.request&&(t.request.cancel(),delete t.request),t.aborted=!0},r.prototype.unloadTile=function(t){t.unloadVectorData(),this.actor.send(\"removeTile\",{uid:t.uid,type:this.type,source:this.id})},r.prototype.onRemove=function(){this._removed=!0,this.actor.send(\"removeSource\",{type:this.type,source:this.id})},r.prototype.serialize=function(){return t.extend({},this._options,{type:this.type,data:this._data})},r.prototype.hasTransition=function(){return!1},r}(t.Evented),O=t.createLayout([{name:\"a_pos\",type:\"Int16\",components:2},{name:\"a_texture_pos\",type:\"Int16\",components:2}]),I=function(e){function r(t,r,n,i){e.call(this),this.id=t,this.dispatcher=n,this.coordinates=r.coordinates,this.type=\"image\",this.minzoom=0,this.maxzoom=22,this.tileSize=512,this.tiles={},this._loaded=!1,this.setEventedParent(i),this.options=r}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(e,r){var n=this;this._loaded=!1,this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this.url=this.options.url,t.getImage(this.map._requestManager.transformRequest(this.url,t.ResourceType.Image),(function(i,a){n._loaded=!0,i?n.fire(new t.ErrorEvent(i)):a&&(n.image=a,e&&(n.coordinates=e),r&&r(),n._finishLoading())}))},r.prototype.loaded=function(){return this._loaded},r.prototype.updateImage=function(t){var e=this;return this.image&&t.url?(this.options.url=t.url,this.load(t.coordinates,(function(){e.texture=null})),this):this},r.prototype._finishLoading=function(){this.map&&(this.setCoordinates(this.coordinates),this.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"metadata\"})))},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.setCoordinates=function(e){var r=this;this.coordinates=e;var n=e.map(t.MercatorCoordinate.fromLngLat);this.tileID=function(e){for(var r=1/0,n=1/0,i=-1/0,a=-1/0,o=0,s=e;o<s.length;o+=1){var l=s[o];r=Math.min(r,l.x),n=Math.min(n,l.y),i=Math.max(i,l.x),a=Math.max(a,l.y)}var u=i-r,c=a-n,f=Math.max(u,c),h=Math.max(0,Math.floor(-Math.log(f)/Math.LN2)),p=Math.pow(2,h);return new t.CanonicalTileID(h,Math.floor((r+i)/2*p),Math.floor((n+a)/2*p))}(n),this.minzoom=this.maxzoom=this.tileID.z;var i=n.map((function(t){return r.tileID.getTilePoint(t)._round()}));return this._boundsArray=new t.StructArrayLayout4i8,this._boundsArray.emplaceBack(i[0].x,i[0].y,0,0),this._boundsArray.emplaceBack(i[1].x,i[1].y,t.EXTENT,0),this._boundsArray.emplaceBack(i[3].x,i[3].y,0,t.EXTENT),this._boundsArray.emplaceBack(i[2].x,i[2].y,t.EXTENT,t.EXTENT),this.boundsBuffer&&(this.boundsBuffer.destroy(),delete this.boundsBuffer),this.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"content\"})),this},r.prototype.prepare=function(){if(0!==Object.keys(this.tiles).length&&this.image){var e=this.map.painter.context,r=e.gl;for(var n in this.boundsBuffer||(this.boundsBuffer=e.createVertexBuffer(this._boundsArray,O.members)),this.boundsSegments||(this.boundsSegments=t.SegmentVector.simpleSegment(0,0,4,2)),this.texture||(this.texture=new t.Texture(e,this.image,r.RGBA),this.texture.bind(r.LINEAR,r.CLAMP_TO_EDGE)),this.tiles){var i=this.tiles[n];\"loaded\"!==i.state&&(i.state=\"loaded\",i.texture=this.texture)}}},r.prototype.loadTile=function(t,e){this.tileID&&this.tileID.equals(t.tileID.canonical)?(this.tiles[String(t.tileID.wrap)]=t,t.buckets={},e(null)):(t.state=\"errored\",e(null))},r.prototype.serialize=function(){return{type:\"image\",url:this.options.url,coordinates:this.coordinates}},r.prototype.hasTransition=function(){return!1},r}(t.Evented);var D=function(e){function r(t,r,n,i){e.call(this,t,r,n,i),this.roundZoom=!0,this.type=\"video\",this.options=r}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){var e=this;this._loaded=!1;var r=this.options;this.urls=[];for(var n=0,i=r.urls;n<i.length;n+=1){var a=i[n];this.urls.push(this.map._requestManager.transformRequest(a,t.ResourceType.Source).url)}t.getVideo(this.urls,(function(r,n){e._loaded=!0,r?e.fire(new t.ErrorEvent(r)):n&&(e.video=n,e.video.loop=!0,e.video.addEventListener(\"playing\",(function(){e.map.triggerRepaint()})),e.map&&e.video.play(),e._finishLoading())}))},r.prototype.pause=function(){this.video&&this.video.pause()},r.prototype.play=function(){this.video&&this.video.play()},r.prototype.seek=function(e){if(this.video){var r=this.video.seekable;e<r.start(0)||e>r.end(0)?this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+this.id,null,\"Playback for this video can be set only between the \"+r.start(0)+\" and \"+r.end(0)+\"-second mark.\"))):this.video.currentTime=e}},r.prototype.getVideo=function(){return this.video},r.prototype.onAdd=function(t){this.map||(this.map=t,this.load(),this.video&&(this.video.play(),this.setCoordinates(this.coordinates)))},r.prototype.prepare=function(){if(!(0===Object.keys(this.tiles).length||this.video.readyState<2)){var e=this.map.painter.context,r=e.gl;for(var n in this.boundsBuffer||(this.boundsBuffer=e.createVertexBuffer(this._boundsArray,O.members)),this.boundsSegments||(this.boundsSegments=t.SegmentVector.simpleSegment(0,0,4,2)),this.texture?this.video.paused||(this.texture.bind(r.LINEAR,r.CLAMP_TO_EDGE),r.texSubImage2D(r.TEXTURE_2D,0,0,0,r.RGBA,r.UNSIGNED_BYTE,this.video)):(this.texture=new t.Texture(e,this.video,r.RGBA),this.texture.bind(r.LINEAR,r.CLAMP_TO_EDGE)),this.tiles){var i=this.tiles[n];\"loaded\"!==i.state&&(i.state=\"loaded\",i.texture=this.texture)}}},r.prototype.serialize=function(){return{type:\"video\",urls:this.urls,coordinates:this.coordinates}},r.prototype.hasTransition=function(){return this.video&&!this.video.paused},r}(I),z=function(e){function r(r,n,i,a){e.call(this,r,n,i,a),n.coordinates?Array.isArray(n.coordinates)&&4===n.coordinates.length&&!n.coordinates.some((function(t){return!Array.isArray(t)||2!==t.length||t.some((function(t){return\"number\"!=typeof t}))}))||this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'\"coordinates\" property must be an array of 4 longitude/latitude array pairs'))):this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'missing required property \"coordinates\"'))),n.animate&&\"boolean\"!=typeof n.animate&&this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'optional \"animate\" property must be a boolean value'))),n.canvas?\"string\"==typeof n.canvas||n.canvas instanceof t.window.HTMLCanvasElement||this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'\"canvas\" must be either a string representing the ID of the canvas element from which to read, or an HTMLCanvasElement instance'))):this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'missing required property \"canvas\"'))),this.options=n,this.animate=void 0===n.animate||n.animate}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){this._loaded=!0,this.canvas||(this.canvas=this.options.canvas instanceof t.window.HTMLCanvasElement?this.options.canvas:t.window.document.getElementById(this.options.canvas)),this.width=this.canvas.width,this.height=this.canvas.height,this._hasInvalidDimensions()?this.fire(new t.ErrorEvent(new Error(\"Canvas dimensions cannot be less than or equal to zero.\"))):(this.play=function(){this._playing=!0,this.map.triggerRepaint()},this.pause=function(){this._playing&&(this.prepare(),this._playing=!1)},this._finishLoading())},r.prototype.getCanvas=function(){return this.canvas},r.prototype.onAdd=function(t){this.map=t,this.load(),this.canvas&&this.animate&&this.play()},r.prototype.onRemove=function(){this.pause()},r.prototype.prepare=function(){var e=!1;if(this.canvas.width!==this.width&&(this.width=this.canvas.width,e=!0),this.canvas.height!==this.height&&(this.height=this.canvas.height,e=!0),!this._hasInvalidDimensions()&&0!==Object.keys(this.tiles).length){var r=this.map.painter.context,n=r.gl;for(var i in this.boundsBuffer||(this.boundsBuffer=r.createVertexBuffer(this._boundsArray,O.members)),this.boundsSegments||(this.boundsSegments=t.SegmentVector.simpleSegment(0,0,4,2)),this.texture?(e||this._playing)&&this.texture.update(this.canvas,{premultiply:!0}):this.texture=new t.Texture(r,this.canvas,n.RGBA,{premultiply:!0}),this.tiles){var a=this.tiles[i];\"loaded\"!==a.state&&(a.state=\"loaded\",a.texture=this.texture)}}},r.prototype.serialize=function(){return{type:\"canvas\",coordinates:this.coordinates}},r.prototype.hasTransition=function(){return this._playing},r.prototype._hasInvalidDimensions=function(){for(var t=0,e=[this.canvas.width,this.canvas.height];t<e.length;t+=1){var r=e[t];if(isNaN(r)||r<=0)return!0}return!1},r}(I),R={vector:E,raster:L,\"raster-dem\":C,geojson:P,video:D,image:I,canvas:z};function F(e,r){var n=t.identity([]);return t.translate(n,n,[1,1,0]),t.scale(n,n,[.5*e.width,.5*e.height,1]),t.multiply(n,n,e.calculatePosMatrix(r.toUnwrapped()))}function B(t,e,r,n,i,a){var o=function(t,e,r){if(t)for(var n=0,i=t;n<i.length;n+=1){var a=e[i[n]];if(a&&a.source===r&&\"fill-extrusion\"===a.type)return!0}else for(var o in e){var s=e[o];if(s.source===r&&\"fill-extrusion\"===s.type)return!0}return!1}(i&&i.layers,e,t.id),s=a.maxPitchScaleFactor(),l=t.tilesIn(n,s,o);l.sort(N);for(var u=[],c=0,f=l;c<f.length;c+=1){var h=f[c];u.push({wrappedTileID:h.tileID.wrapped().key,queryResults:h.tile.queryRenderedFeatures(e,r,t._state,h.queryGeometry,h.cameraQueryGeometry,h.scale,i,a,s,F(t.transform,h.tileID))})}var p=function(t){for(var e={},r={},n=0,i=t;n<i.length;n+=1){var a=i[n],o=a.queryResults,s=a.wrappedTileID,l=r[s]=r[s]||{};for(var u in o)for(var c=o[u],f=l[u]=l[u]||{},h=e[u]=e[u]||[],p=0,d=c;p<d.length;p+=1){var v=d[p];f[v.featureIndex]||(f[v.featureIndex]=!0,h.push(v))}}return e}(u);for(var d in p)p[d].forEach((function(e){var r=e.feature,n=t.getFeatureState(r.layer[\"source-layer\"],r.id);r.source=r.layer.source,r.layer[\"source-layer\"]&&(r.sourceLayer=r.layer[\"source-layer\"]),r.state=n}));return p}function N(t,e){var r=t.tileID,n=e.tileID;return r.overscaledZ-n.overscaledZ||r.canonical.y-n.canonical.y||r.wrap-n.wrap||r.canonical.x-n.canonical.x}var j=function(t,e){this.max=t,this.onRemove=e,this.reset()};j.prototype.reset=function(){for(var t in this.data)for(var e=0,r=this.data[t];e<r.length;e+=1){var n=r[e];n.timeout&&clearTimeout(n.timeout),this.onRemove(n.value)}return this.data={},this.order=[],this},j.prototype.add=function(t,e,r){var n=this,i=t.wrapped().key;void 0===this.data[i]&&(this.data[i]=[]);var a={value:e,timeout:void 0};if(void 0!==r&&(a.timeout=setTimeout((function(){n.remove(t,a)}),r)),this.data[i].push(a),this.order.push(i),this.order.length>this.max){var o=this._getAndRemoveByKey(this.order[0]);o&&this.onRemove(o)}return this},j.prototype.has=function(t){return t.wrapped().key in this.data},j.prototype.getAndRemove=function(t){return this.has(t)?this._getAndRemoveByKey(t.wrapped().key):null},j.prototype._getAndRemoveByKey=function(t){var e=this.data[t].shift();return e.timeout&&clearTimeout(e.timeout),0===this.data[t].length&&delete this.data[t],this.order.splice(this.order.indexOf(t),1),e.value},j.prototype.getByKey=function(t){var e=this.data[t];return e?e[0].value:null},j.prototype.get=function(t){return this.has(t)?this.data[t.wrapped().key][0].value:null},j.prototype.remove=function(t,e){if(!this.has(t))return this;var r=t.wrapped().key,n=void 0===e?0:this.data[r].indexOf(e),i=this.data[r][n];return this.data[r].splice(n,1),i.timeout&&clearTimeout(i.timeout),0===this.data[r].length&&delete this.data[r],this.onRemove(i.value),this.order.splice(this.order.indexOf(r),1),this},j.prototype.setMaxSize=function(t){for(this.max=t;this.order.length>this.max;){var e=this._getAndRemoveByKey(this.order[0]);e&&this.onRemove(e)}return this},j.prototype.filter=function(t){var e=[];for(var r in this.data)for(var n=0,i=this.data[r];n<i.length;n+=1){var a=i[n];t(a.value)||e.push(a)}for(var o=0,s=e;o<s.length;o+=1){var l=s[o];this.remove(l.value.tileID,l)}};var U=function(t,e,r){this.context=t;var n=t.gl;this.buffer=n.createBuffer(),this.dynamicDraw=Boolean(r),this.context.unbindVAO(),t.bindElementBuffer.set(this.buffer),n.bufferData(n.ELEMENT_ARRAY_BUFFER,e.arrayBuffer,this.dynamicDraw?n.DYNAMIC_DRAW:n.STATIC_DRAW),this.dynamicDraw||delete e.arrayBuffer};U.prototype.bind=function(){this.context.bindElementBuffer.set(this.buffer)},U.prototype.updateData=function(t){var e=this.context.gl;this.context.unbindVAO(),this.bind(),e.bufferSubData(e.ELEMENT_ARRAY_BUFFER,0,t.arrayBuffer)},U.prototype.destroy=function(){var t=this.context.gl;this.buffer&&(t.deleteBuffer(this.buffer),delete this.buffer)};var V={Int8:\"BYTE\",Uint8:\"UNSIGNED_BYTE\",Int16:\"SHORT\",Uint16:\"UNSIGNED_SHORT\",Int32:\"INT\",Uint32:\"UNSIGNED_INT\",Float32:\"FLOAT\"},H=function(t,e,r,n){this.length=e.length,this.attributes=r,this.itemSize=e.bytesPerElement,this.dynamicDraw=n,this.context=t;var i=t.gl;this.buffer=i.createBuffer(),t.bindVertexBuffer.set(this.buffer),i.bufferData(i.ARRAY_BUFFER,e.arrayBuffer,this.dynamicDraw?i.DYNAMIC_DRAW:i.STATIC_DRAW),this.dynamicDraw||delete e.arrayBuffer};H.prototype.bind=function(){this.context.bindVertexBuffer.set(this.buffer)},H.prototype.updateData=function(t){var e=this.context.gl;this.bind(),e.bufferSubData(e.ARRAY_BUFFER,0,t.arrayBuffer)},H.prototype.enableAttributes=function(t,e){for(var r=0;r<this.attributes.length;r++){var n=this.attributes[r],i=e.attributes[n.name];void 0!==i&&t.enableVertexAttribArray(i)}},H.prototype.setVertexAttribPointers=function(t,e,r){for(var n=0;n<this.attributes.length;n++){var i=this.attributes[n],a=e.attributes[i.name];void 0!==a&&t.vertexAttribPointer(a,i.components,t[V[i.type]],!1,this.itemSize,i.offset+this.itemSize*(r||0))}},H.prototype.destroy=function(){var t=this.context.gl;this.buffer&&(t.deleteBuffer(this.buffer),delete this.buffer)};var q=function(t){this.gl=t.gl,this.default=this.getDefault(),this.current=this.default,this.dirty=!1};q.prototype.get=function(){return this.current},q.prototype.set=function(t){},q.prototype.getDefault=function(){return this.default},q.prototype.setDefault=function(){this.set(this.default)};var G=function(e){function r(){e.apply(this,arguments)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.getDefault=function(){return t.Color.transparent},r.prototype.set=function(t){var e=this.current;(t.r!==e.r||t.g!==e.g||t.b!==e.b||t.a!==e.a||this.dirty)&&(this.gl.clearColor(t.r,t.g,t.b,t.a),this.current=t,this.dirty=!1)},r}(q),Z=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return 1},e.prototype.set=function(t){(t!==this.current||this.dirty)&&(this.gl.clearDepth(t),this.current=t,this.dirty=!1)},e}(q),Y=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return 0},e.prototype.set=function(t){(t!==this.current||this.dirty)&&(this.gl.clearStencil(t),this.current=t,this.dirty=!1)},e}(q),W=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return[!0,!0,!0,!0]},e.prototype.set=function(t){var e=this.current;(t[0]!==e[0]||t[1]!==e[1]||t[2]!==e[2]||t[3]!==e[3]||this.dirty)&&(this.gl.colorMask(t[0],t[1],t[2],t[3]),this.current=t,this.dirty=!1)},e}(q),X=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return!0},e.prototype.set=function(t){(t!==this.current||this.dirty)&&(this.gl.depthMask(t),this.current=t,this.dirty=!1)},e}(q),J=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return 255},e.prototype.set=function(t){(t!==this.current||this.dirty)&&(this.gl.stencilMask(t),this.current=t,this.dirty=!1)},e}(q),K=function(t){function e(){t.apply(this,arguments)}return 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t=this.gl;return[t.ONE,t.ZERO]},e.prototype.set=function(t){var e=this.current;(t[0]!==e[0]||t[1]!==e[1]||this.dirty)&&(this.gl.blendFunc(t[0],t[1]),this.current=t,this.dirty=!1)},e}(q),at=function(e){function r(){e.apply(this,arguments)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.getDefault=function(){return t.Color.transparent},r.prototype.set=function(t){var e=this.current;(t.r!==e.r||t.g!==e.g||t.b!==e.b||t.a!==e.a||this.dirty)&&(this.gl.blendColor(t.r,t.g,t.b,t.a),this.current=t,this.dirty=!1)},r}(q),ot=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return this.gl.FUNC_ADD},e.prototype.set=function(t){(t!==this.current||this.dirty)&&(this.gl.blendEquation(t),this.current=t,this.dirty=!1)},e}(q),st=function(t){function e(){t.apply(this,arguments)}return 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e=this.current;(t[0]!==e[0]||t[1]!==e[1]||t[2]!==e[2]||t[3]!==e[3]||this.dirty)&&(this.gl.viewport(t[0],t[1],t[2],t[3]),this.current=t,this.dirty=!1)},e}(q),pt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return null},e.prototype.set=function(t){if(t!==this.current||this.dirty){var e=this.gl;e.bindFramebuffer(e.FRAMEBUFFER,t),this.current=t,this.dirty=!1}},e}(q),dt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return null},e.prototype.set=function(t){if(t!==this.current||this.dirty){var e=this.gl;e.bindRenderbuffer(e.RENDERBUFFER,t),this.current=t,this.dirty=!1}},e}(q),vt=function(t){function e(){t.apply(this,arguments)}return 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e(e){t.call(this,e),this.vao=e.extVertexArrayObject}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return null},e.prototype.set=function(t){this.vao&&(t!==this.current||this.dirty)&&(this.vao.bindVertexArrayOES(t),this.current=t,this.dirty=!1)},e}(q),xt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return 4},e.prototype.set=function(t){if(t!==this.current||this.dirty){var e=this.gl;e.pixelStorei(e.UNPACK_ALIGNMENT,t),this.current=t,this.dirty=!1}},e}(q),bt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return!1},e.prototype.set=function(t){if(t!==this.current||this.dirty){var e=this.gl;e.pixelStorei(e.UNPACK_PREMULTIPLY_ALPHA_WEBGL,t),this.current=t,this.dirty=!1}},e}(q),_t=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return!1},e.prototype.set=function(t){if(t!==this.current||this.dirty){var e=this.gl;e.pixelStorei(e.UNPACK_FLIP_Y_WEBGL,t),this.current=t,this.dirty=!1}},e}(q),wt=function(t){function e(e,r){t.call(this,e),this.context=e,this.parent=r}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return null},e}(q),Tt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.setDirty=function(){this.dirty=!0},e.prototype.set=function(t){if(t!==this.current||this.dirty){this.context.bindFramebuffer.set(this.parent);var e=this.gl;e.framebufferTexture2D(e.FRAMEBUFFER,e.COLOR_ATTACHMENT0,e.TEXTURE_2D,t,0),this.current=t,this.dirty=!1}},e}(wt),kt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.set=function(t){if(t!==this.current||this.dirty){this.context.bindFramebuffer.set(this.parent);var e=this.gl;e.framebufferRenderbuffer(e.FRAMEBUFFER,e.DEPTH_ATTACHMENT,e.RENDERBUFFER,t),this.current=t,this.dirty=!1}},e}(wt),At=function(t,e,r,n){this.context=t,this.width=e,this.height=r;var i=t.gl,a=this.framebuffer=i.createFramebuffer();this.colorAttachment=new Tt(t,a),n&&(this.depthAttachment=new kt(t,a))};At.prototype.destroy=function(){var t=this.context.gl,e=this.colorAttachment.get();if(e&&t.deleteTexture(e),this.depthAttachment){var r=this.depthAttachment.get();r&&t.deleteRenderbuffer(r)}t.deleteFramebuffer(this.framebuffer)};var Mt=function(t,e,r){this.func=t,this.mask=e,this.range=r};Mt.ReadOnly=!1,Mt.ReadWrite=!0,Mt.disabled=new Mt(519,Mt.ReadOnly,[0,1]);var St=7680,Et=function(t,e,r,n,i,a){this.test=t,this.ref=e,this.mask=r,this.fail=n,this.depthFail=i,this.pass=a};Et.disabled=new Et({func:519,mask:0},0,0,St,St,St);var Lt=function(t,e,r){this.blendFunction=t,this.blendColor=e,this.mask=r};Lt.Replace=[1,0],Lt.disabled=new Lt(Lt.Replace,t.Color.transparent,[!1,!1,!1,!1]),Lt.unblended=new Lt(Lt.Replace,t.Color.transparent,[!0,!0,!0,!0]),Lt.alphaBlended=new Lt([1,771],t.Color.transparent,[!0,!0,!0,!0]);var Ct=function(t,e,r){this.enable=t,this.mode=e,this.frontFace=r};Ct.disabled=new Ct(!1,1029,2305),Ct.backCCW=new Ct(!0,1029,2305);var Pt=function(t){this.gl=t,this.extVertexArrayObject=this.gl.getExtension(\"OES_vertex_array_object\"),this.clearColor=new G(this),this.clearDepth=new Z(this),this.clearStencil=new Y(this),this.colorMask=new W(this),this.depthMask=new X(this),this.stencilMask=new J(this),this.stencilFunc=new K(this),this.stencilOp=new $(this),this.stencilTest=new Q(this),this.depthRange=new tt(this),this.depthTest=new et(this),this.depthFunc=new rt(this),this.blend=new nt(this),this.blendFunc=new it(this),this.blendColor=new at(this),this.blendEquation=new ot(this),this.cullFace=new st(this),this.cullFaceSide=new lt(this),this.frontFace=new ut(this),this.program=new ct(this),this.activeTexture=new ft(this),this.viewport=new ht(this),this.bindFramebuffer=new pt(this),this.bindRenderbuffer=new dt(this),this.bindTexture=new vt(this),this.bindVertexBuffer=new gt(this),this.bindElementBuffer=new yt(this),this.bindVertexArrayOES=this.extVertexArrayObject&&new mt(this),this.pixelStoreUnpack=new xt(this),this.pixelStoreUnpackPremultiplyAlpha=new bt(this),this.pixelStoreUnpackFlipY=new _t(this),this.extTextureFilterAnisotropic=t.getExtension(\"EXT_texture_filter_anisotropic\")||t.getExtension(\"MOZ_EXT_texture_filter_anisotropic\")||t.getExtension(\"WEBKIT_EXT_texture_filter_anisotropic\"),this.extTextureFilterAnisotropic&&(this.extTextureFilterAnisotropicMax=t.getParameter(this.extTextureFilterAnisotropic.MAX_TEXTURE_MAX_ANISOTROPY_EXT)),this.extTextureHalfFloat=t.getExtension(\"OES_texture_half_float\"),this.extTextureHalfFloat&&(t.getExtension(\"OES_texture_half_float_linear\"),this.extRenderToTextureHalfFloat=t.getExtension(\"EXT_color_buffer_half_float\")),this.extTimerQuery=t.getExtension(\"EXT_disjoint_timer_query\")};Pt.prototype.setDefault=function(){this.unbindVAO(),this.clearColor.setDefault(),this.clearDepth.setDefault(),this.clearStencil.setDefault(),this.colorMask.setDefault(),this.depthMask.setDefault(),this.stencilMask.setDefault(),this.stencilFunc.setDefault(),this.stencilOp.setDefault(),this.stencilTest.setDefault(),this.depthRange.setDefault(),this.depthTest.setDefault(),this.depthFunc.setDefault(),this.blend.setDefault(),this.blendFunc.setDefault(),this.blendColor.setDefault(),this.blendEquation.setDefault(),this.cullFace.setDefault(),this.cullFaceSide.setDefault(),this.frontFace.setDefault(),this.program.setDefault(),this.activeTexture.setDefault(),this.bindFramebuffer.setDefault(),this.pixelStoreUnpack.setDefault(),this.pixelStoreUnpackPremultiplyAlpha.setDefault(),this.pixelStoreUnpackFlipY.setDefault()},Pt.prototype.setDirty=function(){this.clearColor.dirty=!0,this.clearDepth.dirty=!0,this.clearStencil.dirty=!0,this.colorMask.dirty=!0,this.depthMask.dirty=!0,this.stencilMask.dirty=!0,this.stencilFunc.dirty=!0,this.stencilOp.dirty=!0,this.stencilTest.dirty=!0,this.depthRange.dirty=!0,this.depthTest.dirty=!0,this.depthFunc.dirty=!0,this.blend.dirty=!0,this.blendFunc.dirty=!0,this.blendColor.dirty=!0,this.blendEquation.dirty=!0,this.cullFace.dirty=!0,this.cullFaceSide.dirty=!0,this.frontFace.dirty=!0,this.program.dirty=!0,this.activeTexture.dirty=!0,this.viewport.dirty=!0,this.bindFramebuffer.dirty=!0,this.bindRenderbuffer.dirty=!0,this.bindTexture.dirty=!0,this.bindVertexBuffer.dirty=!0,this.bindElementBuffer.dirty=!0,this.extVertexArrayObject&&(this.bindVertexArrayOES.dirty=!0),this.pixelStoreUnpack.dirty=!0,this.pixelStoreUnpackPremultiplyAlpha.dirty=!0,this.pixelStoreUnpackFlipY.dirty=!0},Pt.prototype.createIndexBuffer=function(t,e){return new U(this,t,e)},Pt.prototype.createVertexBuffer=function(t,e,r){return new H(this,t,e,r)},Pt.prototype.createRenderbuffer=function(t,e,r){var n=this.gl,i=n.createRenderbuffer();return this.bindRenderbuffer.set(i),n.renderbufferStorage(n.RENDERBUFFER,t,e,r),this.bindRenderbuffer.set(null),i},Pt.prototype.createFramebuffer=function(t,e,r){return new At(this,t,e,r)},Pt.prototype.clear=function(t){var e=t.color,r=t.depth,n=this.gl,i=0;e&&(i|=n.COLOR_BUFFER_BIT,this.clearColor.set(e),this.colorMask.set([!0,!0,!0,!0])),void 0!==r&&(i|=n.DEPTH_BUFFER_BIT,this.depthRange.set([0,1]),this.clearDepth.set(r),this.depthMask.set(!0)),n.clear(i)},Pt.prototype.setCullFace=function(t){!1===t.enable?this.cullFace.set(!1):(this.cullFace.set(!0),this.cullFaceSide.set(t.mode),this.frontFace.set(t.frontFace))},Pt.prototype.setDepthMode=function(t){t.func!==this.gl.ALWAYS||t.mask?(this.depthTest.set(!0),this.depthFunc.set(t.func),this.depthMask.set(t.mask),this.depthRange.set(t.range)):this.depthTest.set(!1)},Pt.prototype.setStencilMode=function(t){t.test.func!==this.gl.ALWAYS||t.mask?(this.stencilTest.set(!0),this.stencilMask.set(t.mask),this.stencilOp.set([t.fail,t.depthFail,t.pass]),this.stencilFunc.set({func:t.test.func,ref:t.ref,mask:t.test.mask})):this.stencilTest.set(!1)},Pt.prototype.setColorMode=function(e){t.deepEqual(e.blendFunction,Lt.Replace)?this.blend.set(!1):(this.blend.set(!0),this.blendFunc.set(e.blendFunction),this.blendColor.set(e.blendColor)),this.colorMask.set(e.mask)},Pt.prototype.unbindVAO=function(){this.extVertexArrayObject&&this.bindVertexArrayOES.set(null)};var Ot=function(e){function r(r,n,i){var a=this;e.call(this),this.id=r,this.dispatcher=i,this.on(\"data\",(function(t){\"source\"===t.dataType&&\"metadata\"===t.sourceDataType&&(a._sourceLoaded=!0),a._sourceLoaded&&!a._paused&&\"source\"===t.dataType&&\"content\"===t.sourceDataType&&(a.reload(),a.transform&&a.update(a.transform))})),this.on(\"error\",(function(){a._sourceErrored=!0})),this._source=function(e,r,n,i){var a=new R[r.type](e,r,n,i);if(a.id!==e)throw new Error(\"Expected Source id to be \"+e+\" instead of \"+a.id);return t.bindAll([\"load\",\"abort\",\"unload\",\"serialize\",\"prepare\"],a),a}(r,n,i,this),this._tiles={},this._cache=new j(0,this._unloadTile.bind(this)),this._timers={},this._cacheTimers={},this._maxTileCacheSize=null,this._loadedParentTiles={},this._coveredTiles={},this._state=new t.SourceFeatureState}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.onAdd=function(t){this.map=t,this._maxTileCacheSize=t?t._maxTileCacheSize:null,this._source&&this._source.onAdd&&this._source.onAdd(t)},r.prototype.onRemove=function(t){this._source&&this._source.onRemove&&this._source.onRemove(t)},r.prototype.loaded=function(){if(this._sourceErrored)return!0;if(!this._sourceLoaded)return!1;if(!this._source.loaded())return!1;for(var t in this._tiles){var e=this._tiles[t];if(\"loaded\"!==e.state&&\"errored\"!==e.state)return!1}return!0},r.prototype.getSource=function(){return this._source},r.prototype.pause=function(){this._paused=!0},r.prototype.resume=function(){if(this._paused){var t=this._shouldReloadOnResume;this._paused=!1,this._shouldReloadOnResume=!1,t&&this.reload(),this.transform&&this.update(this.transform)}},r.prototype._loadTile=function(t,e){return this._source.loadTile(t,e)},r.prototype._unloadTile=function(t){if(this._source.unloadTile)return this._source.unloadTile(t,(function(){}))},r.prototype._abortTile=function(t){if(this._source.abortTile)return this._source.abortTile(t,(function(){}))},r.prototype.serialize=function(){return this._source.serialize()},r.prototype.prepare=function(t){for(var e in this._source.prepare&&this._source.prepare(),this._state.coalesceChanges(this._tiles,this.map?this.map.painter:null),this._tiles){var r=this._tiles[e];r.upload(t),r.prepare(this.map.style.imageManager)}},r.prototype.getIds=function(){return t.values(this._tiles).map((function(t){return t.tileID})).sort(It).map((function(t){return t.key}))},r.prototype.getRenderableIds=function(e){var r=this,n=[];for(var i in this._tiles)this._isIdRenderable(i,e)&&n.push(this._tiles[i]);return e?n.sort((function(e,n){var i=e.tileID,a=n.tileID,o=new t.Point(i.canonical.x,i.canonical.y)._rotate(r.transform.angle),s=new t.Point(a.canonical.x,a.canonical.y)._rotate(r.transform.angle);return i.overscaledZ-a.overscaledZ||s.y-o.y||s.x-o.x})).map((function(t){return t.tileID.key})):n.map((function(t){return t.tileID})).sort(It).map((function(t){return t.key}))},r.prototype.hasRenderableParent=function(t){var e=this.findLoadedParent(t,0);return!!e&&this._isIdRenderable(e.tileID.key)},r.prototype._isIdRenderable=function(t,e){return this._tiles[t]&&this._tiles[t].hasData()&&!this._coveredTiles[t]&&(e||!this._tiles[t].holdingForFade())},r.prototype.reload=function(){if(this._paused)this._shouldReloadOnResume=!0;else for(var t in this._cache.reset(),this._tiles)\"errored\"!==this._tiles[t].state&&this._reloadTile(t,\"reloading\")},r.prototype._reloadTile=function(t,e){var r=this._tiles[t];r&&(\"loading\"!==r.state&&(r.state=e),this._loadTile(r,this._tileLoaded.bind(this,r,t,e)))},r.prototype._tileLoaded=function(e,r,n,i){if(i)return e.state=\"errored\",void(404!==i.status?this._source.fire(new t.ErrorEvent(i,{tile:e})):this.update(this.transform));e.timeAdded=t.browser.now(),\"expired\"===n&&(e.refreshedUponExpiration=!0),this._setTileReloadTimer(r,e),\"raster-dem\"===this.getSource().type&&e.dem&&this._backfillDEM(e),this._state.initializeTileState(e,this.map?this.map.painter:null),this._source.fire(new t.Event(\"data\",{dataType:\"source\",tile:e,coord:e.tileID}))},r.prototype._backfillDEM=function(t){for(var e=this.getRenderableIds(),r=0;r<e.length;r++){var n=e[r];if(t.neighboringTiles&&t.neighboringTiles[n]){var i=this.getTileByID(n);a(t,i),a(i,t)}}function a(t,e){t.needsHillshadePrepare=!0;var r=e.tileID.canonical.x-t.tileID.canonical.x,n=e.tileID.canonical.y-t.tileID.canonical.y,i=Math.pow(2,t.tileID.canonical.z),a=e.tileID.key;0===r&&0===n||Math.abs(n)>1||(Math.abs(r)>1&&(1===Math.abs(r+i)?r+=i:1===Math.abs(r-i)&&(r-=i)),e.dem&&t.dem&&(t.dem.backfillBorder(e.dem,r,n),t.neighboringTiles&&t.neighboringTiles[a]&&(t.neighboringTiles[a].backfilled=!0)))}},r.prototype.getTile=function(t){return this.getTileByID(t.key)},r.prototype.getTileByID=function(t){return this._tiles[t]},r.prototype._retainLoadedChildren=function(t,e,r,n){for(var i in this._tiles){var a=this._tiles[i];if(!(n[i]||!a.hasData()||a.tileID.overscaledZ<=e||a.tileID.overscaledZ>r)){for(var o=a.tileID;a&&a.tileID.overscaledZ>e+1;){var s=a.tileID.scaledTo(a.tileID.overscaledZ-1);(a=this._tiles[s.key])&&a.hasData()&&(o=s)}for(var l=o;l.overscaledZ>e;)if(t[(l=l.scaledTo(l.overscaledZ-1)).key]){n[o.key]=o;break}}}},r.prototype.findLoadedParent=function(t,e){if(t.key in this._loadedParentTiles){var r=this._loadedParentTiles[t.key];return r&&r.tileID.overscaledZ>=e?r:null}for(var n=t.overscaledZ-1;n>=e;n--){var i=t.scaledTo(n),a=this._getLoadedTile(i);if(a)return a}},r.prototype._getLoadedTile=function(t){var e=this._tiles[t.key];return e&&e.hasData()?e:this._cache.getByKey(t.wrapped().key)},r.prototype.updateCacheSize=function(t){var e=(Math.ceil(t.width/this._source.tileSize)+1)*(Math.ceil(t.height/this._source.tileSize)+1),r=Math.floor(5*e),n=\"number\"==typeof this._maxTileCacheSize?Math.min(this._maxTileCacheSize,r):r;this._cache.setMaxSize(n)},r.prototype.handleWrapJump=function(t){var e=(t-(void 0===this._prevLng?t:this._prevLng))/360,r=Math.round(e);if(this._prevLng=t,r){var n={};for(var i in this._tiles){var a=this._tiles[i];a.tileID=a.tileID.unwrapTo(a.tileID.wrap+r),n[a.tileID.key]=a}for(var o in this._tiles=n,this._timers)clearTimeout(this._timers[o]),delete this._timers[o];for(var s in this._tiles){var l=this._tiles[s];this._setTileReloadTimer(s,l)}}},r.prototype.update=function(e){var n=this;if(this.transform=e,this._sourceLoaded&&!this._paused){var i;this.updateCacheSize(e),this.handleWrapJump(this.transform.center.lng),this._coveredTiles={},this.used?this._source.tileID?i=e.getVisibleUnwrappedCoordinates(this._source.tileID).map((function(e){return new t.OverscaledTileID(e.canonical.z,e.wrap,e.canonical.z,e.canonical.x,e.canonical.y)})):(i=e.coveringTiles({tileSize:this._source.tileSize,minzoom:this._source.minzoom,maxzoom:this._source.maxzoom,roundZoom:this._source.roundZoom,reparseOverscaled:this._source.reparseOverscaled}),this._source.hasTile&&(i=i.filter((function(t){return n._source.hasTile(t)})))):i=[];var a=e.coveringZoomLevel(this._source),o=Math.max(a-r.maxOverzooming,this._source.minzoom),s=Math.max(a+r.maxUnderzooming,this._source.minzoom),l=this._updateRetainedTiles(i,a);if(Dt(this._source.type)){for(var u={},c={},f=0,h=Object.keys(l);f<h.length;f+=1){var p=h[f],d=l[p],v=this._tiles[p];if(v&&!(v.fadeEndTime&&v.fadeEndTime<=t.browser.now())){var g=this.findLoadedParent(d,o);g&&(this._addTile(g.tileID),u[g.tileID.key]=g.tileID),c[p]=d}}for(var y in this._retainLoadedChildren(c,a,s,l),u)l[y]||(this._coveredTiles[y]=!0,l[y]=u[y])}for(var m in l)this._tiles[m].clearFadeHold();for(var x=0,b=t.keysDifference(this._tiles,l);x<b.length;x+=1){var _=b[x],w=this._tiles[_];w.hasSymbolBuckets&&!w.holdingForFade()?w.setHoldDuration(this.map._fadeDuration):w.hasSymbolBuckets&&!w.symbolFadeFinished()||this._removeTile(_)}this._updateLoadedParentTileCache()}},r.prototype.releaseSymbolFadeTiles=function(){for(var t in this._tiles)this._tiles[t].holdingForFade()&&this._removeTile(t)},r.prototype._updateRetainedTiles=function(t,e){for(var n={},i={},a=Math.max(e-r.maxOverzooming,this._source.minzoom),o=Math.max(e+r.maxUnderzooming,this._source.minzoom),s={},l=0,u=t;l<u.length;l+=1){var c=u[l],f=this._addTile(c);n[c.key]=c,f.hasData()||e<this._source.maxzoom&&(s[c.key]=c)}this._retainLoadedChildren(s,e,o,n);for(var h=0,p=t;h<p.length;h+=1){var d=p[h],v=this._tiles[d.key];if(!v.hasData()){if(e+1>this._source.maxzoom){var g=d.children(this._source.maxzoom)[0],y=this.getTile(g);if(y&&y.hasData()){n[g.key]=g;continue}}else{var m=d.children(this._source.maxzoom);if(n[m[0].key]&&n[m[1].key]&&n[m[2].key]&&n[m[3].key])continue}for(var x=v.wasRequested(),b=d.overscaledZ-1;b>=a;--b){var _=d.scaledTo(b);if(i[_.key])break;if(i[_.key]=!0,!(v=this.getTile(_))&&x&&(v=this._addTile(_)),v&&(n[_.key]=_,x=v.wasRequested(),v.hasData()))break}}}return n},r.prototype._updateLoadedParentTileCache=function(){for(var t in this._loadedParentTiles={},this._tiles){for(var e=[],r=void 0,n=this._tiles[t].tileID;n.overscaledZ>0;){if(n.key in this._loadedParentTiles){r=this._loadedParentTiles[n.key];break}e.push(n.key);var i=n.scaledTo(n.overscaledZ-1);if(r=this._getLoadedTile(i))break;n=i}for(var a=0,o=e;a<o.length;a+=1){var s=o[a];this._loadedParentTiles[s]=r}}},r.prototype._addTile=function(e){var r=this._tiles[e.key];if(r)return r;(r=this._cache.getAndRemove(e))&&(this._setTileReloadTimer(e.key,r),r.tileID=e,this._state.initializeTileState(r,this.map?this.map.painter:null),this._cacheTimers[e.key]&&(clearTimeout(this._cacheTimers[e.key]),delete this._cacheTimers[e.key],this._setTileReloadTimer(e.key,r)));var n=Boolean(r);return n||(r=new t.Tile(e,this._source.tileSize*e.overscaleFactor()),this._loadTile(r,this._tileLoaded.bind(this,r,e.key,r.state))),r?(r.uses++,this._tiles[e.key]=r,n||this._source.fire(new t.Event(\"dataloading\",{tile:r,coord:r.tileID,dataType:\"source\"})),r):null},r.prototype._setTileReloadTimer=function(t,e){var r=this;t in this._timers&&(clearTimeout(this._timers[t]),delete this._timers[t]);var n=e.getExpiryTimeout();n&&(this._timers[t]=setTimeout((function(){r._reloadTile(t,\"expired\"),delete r._timers[t]}),n))},r.prototype._removeTile=function(t){var e=this._tiles[t];e&&(e.uses--,delete this._tiles[t],this._timers[t]&&(clearTimeout(this._timers[t]),delete this._timers[t]),e.uses>0||(e.hasData()&&\"reloading\"!==e.state?this._cache.add(e.tileID,e,e.getExpiryTimeout()):(e.aborted=!0,this._abortTile(e),this._unloadTile(e))))},r.prototype.clearTiles=function(){for(var t in this._shouldReloadOnResume=!1,this._paused=!1,this._tiles)this._removeTile(t);this._cache.reset()},r.prototype.tilesIn=function(e,r,n){var i=this,a=[],o=this.transform;if(!o)return a;for(var s=n?o.getCameraQueryGeometry(e):e,l=e.map((function(t){return o.pointCoordinate(t)})),u=s.map((function(t){return o.pointCoordinate(t)})),c=this.getIds(),f=1/0,h=1/0,p=-1/0,d=-1/0,v=0,g=u;v<g.length;v+=1){var y=g[v];f=Math.min(f,y.x),h=Math.min(h,y.y),p=Math.max(p,y.x),d=Math.max(d,y.y)}for(var m=function(e){var n=i._tiles[c[e]];if(!n.holdingForFade()){var s=n.tileID,v=Math.pow(2,o.zoom-n.tileID.overscaledZ),g=r*n.queryPadding*t.EXTENT/n.tileSize/v,y=[s.getTilePoint(new t.MercatorCoordinate(f,h)),s.getTilePoint(new t.MercatorCoordinate(p,d))];if(y[0].x-g<t.EXTENT&&y[0].y-g<t.EXTENT&&y[1].x+g>=0&&y[1].y+g>=0){var m=l.map((function(t){return s.getTilePoint(t)})),x=u.map((function(t){return s.getTilePoint(t)}));a.push({tile:n,tileID:s,queryGeometry:m,cameraQueryGeometry:x,scale:v})}}},x=0;x<c.length;x++)m(x);return a},r.prototype.getVisibleCoordinates=function(t){for(var e=this,r=this.getRenderableIds(t).map((function(t){return e._tiles[t].tileID})),n=0,i=r;n<i.length;n+=1){var a=i[n];a.posMatrix=this.transform.calculatePosMatrix(a.toUnwrapped())}return r},r.prototype.hasTransition=function(){if(this._source.hasTransition())return!0;if(Dt(this._source.type))for(var e in this._tiles){var r=this._tiles[e];if(void 0!==r.fadeEndTime&&r.fadeEndTime>=t.browser.now())return!0}return!1},r.prototype.setFeatureState=function(t,e,r){t=t||\"_geojsonTileLayer\",this._state.updateState(t,e,r)},r.prototype.removeFeatureState=function(t,e,r){t=t||\"_geojsonTileLayer\",this._state.removeFeatureState(t,e,r)},r.prototype.getFeatureState=function(t,e){return t=t||\"_geojsonTileLayer\",this._state.getState(t,e)},r.prototype.setDependencies=function(t,e,r){var n=this._tiles[t];n&&n.setDependencies(e,r)},r.prototype.reloadTilesForDependencies=function(t,e){for(var r in this._tiles)this._tiles[r].hasDependency(t,e)&&this._reloadTile(r,\"reloading\");this._cache.filter((function(r){return!r.hasDependency(t,e)}))},r}(t.Evented);function It(t,e){var r=Math.abs(2*t.wrap)-+(t.wrap<0),n=Math.abs(2*e.wrap)-+(e.wrap<0);return t.overscaledZ-e.overscaledZ||n-r||e.canonical.y-t.canonical.y||e.canonical.x-t.canonical.x}function Dt(t){return\"raster\"===t||\"image\"===t||\"video\"===t}function zt(){return new t.window.Worker(na.workerUrl)}Ot.maxOverzooming=10,Ot.maxUnderzooming=3;var Rt=\"mapboxgl_preloaded_worker_pool\",Ft=function(){this.active={}};Ft.prototype.acquire=function(t){if(!this.workers)for(this.workers=[];this.workers.length<Ft.workerCount;)this.workers.push(new zt);return this.active[t]=!0,this.workers.slice()},Ft.prototype.release=function(t){delete this.active[t],0===this.numActive()&&(this.workers.forEach((function(t){t.terminate()})),this.workers=null)},Ft.prototype.isPreloaded=function(){return!!this.active[Rt]},Ft.prototype.numActive=function(){return Object.keys(this.active).length};var Bt,Nt=Math.floor(t.browser.hardwareConcurrency/2);function jt(){return Bt||(Bt=new Ft),Bt}function Ut(e,r){var n={};for(var i in e)\"ref\"!==i&&(n[i]=e[i]);return t.refProperties.forEach((function(t){t in r&&(n[t]=r[t])})),n}function Vt(t){t=t.slice();for(var e=Object.create(null),r=0;r<t.length;r++)e[t[r].id]=t[r];for(var n=0;n<t.length;n++)\"ref\"in t[n]&&(t[n]=Ut(t[n],e[t[n].ref]));return t}Ft.workerCount=Math.max(Math.min(Nt,6),1);var Ht={setStyle:\"setStyle\",addLayer:\"addLayer\",removeLayer:\"removeLayer\",setPaintProperty:\"setPaintProperty\",setLayoutProperty:\"setLayoutProperty\",setFilter:\"setFilter\",addSource:\"addSource\",removeSource:\"removeSource\",setGeoJSONSourceData:\"setGeoJSONSourceData\",setLayerZoomRange:\"setLayerZoomRange\",setLayerProperty:\"setLayerProperty\",setCenter:\"setCenter\",setZoom:\"setZoom\",setBearing:\"setBearing\",setPitch:\"setPitch\",setSprite:\"setSprite\",setGlyphs:\"setGlyphs\",setTransition:\"setTransition\",setLight:\"setLight\"};function qt(t,e,r){r.push({command:Ht.addSource,args:[t,e[t]]})}function Gt(t,e,r){e.push({command:Ht.removeSource,args:[t]}),r[t]=!0}function Zt(t,e,r,n){Gt(t,r,n),qt(t,e,r)}function Yt(e,r,n){var i;for(i in e[n])if(e[n].hasOwnProperty(i)&&\"data\"!==i&&!t.deepEqual(e[n][i],r[n][i]))return!1;for(i in r[n])if(r[n].hasOwnProperty(i)&&\"data\"!==i&&!t.deepEqual(e[n][i],r[n][i]))return!1;return!0}function Wt(e,r,n,i,a,o){var s;for(s in r=r||{},e=e||{})e.hasOwnProperty(s)&&(t.deepEqual(e[s],r[s])||n.push({command:o,args:[i,s,r[s],a]}));for(s in r)r.hasOwnProperty(s)&&!e.hasOwnProperty(s)&&(t.deepEqual(e[s],r[s])||n.push({command:o,args:[i,s,r[s],a]}))}function Xt(t){return t.id}function Jt(t,e){return t[e.id]=e,t}function Kt(e,r){if(!e)return[{command:Ht.setStyle,args:[r]}];var n=[];try{if(!t.deepEqual(e.version,r.version))return[{command:Ht.setStyle,args:[r]}];t.deepEqual(e.center,r.center)||n.push({command:Ht.setCenter,args:[r.center]}),t.deepEqual(e.zoom,r.zoom)||n.push({command:Ht.setZoom,args:[r.zoom]}),t.deepEqual(e.bearing,r.bearing)||n.push({command:Ht.setBearing,args:[r.bearing]}),t.deepEqual(e.pitch,r.pitch)||n.push({command:Ht.setPitch,args:[r.pitch]}),t.deepEqual(e.sprite,r.sprite)||n.push({command:Ht.setSprite,args:[r.sprite]}),t.deepEqual(e.glyphs,r.glyphs)||n.push({command:Ht.setGlyphs,args:[r.glyphs]}),t.deepEqual(e.transition,r.transition)||n.push({command:Ht.setTransition,args:[r.transition]}),t.deepEqual(e.light,r.light)||n.push({command:Ht.setLight,args:[r.light]});var i={},a=[];!function(e,r,n,i){var a;for(a in r=r||{},e=e||{})e.hasOwnProperty(a)&&(r.hasOwnProperty(a)||Gt(a,n,i));for(a in r)r.hasOwnProperty(a)&&(e.hasOwnProperty(a)?t.deepEqual(e[a],r[a])||(\"geojson\"===e[a].type&&\"geojson\"===r[a].type&&Yt(e,r,a)?n.push({command:Ht.setGeoJSONSourceData,args:[a,r[a].data]}):Zt(a,r,n,i)):qt(a,r,n))}(e.sources,r.sources,a,i);var o=[];e.layers&&e.layers.forEach((function(t){i[t.source]?n.push({command:Ht.removeLayer,args:[t.id]}):o.push(t)})),n=n.concat(a),function(e,r,n){r=r||[];var i,a,o,s,l,u,c,f=(e=e||[]).map(Xt),h=r.map(Xt),p=e.reduce(Jt,{}),d=r.reduce(Jt,{}),v=f.slice(),g=Object.create(null);for(i=0,a=0;i<f.length;i++)o=f[i],d.hasOwnProperty(o)?a++:(n.push({command:Ht.removeLayer,args:[o]}),v.splice(v.indexOf(o,a),1));for(i=0,a=0;i<h.length;i++)o=h[h.length-1-i],v[v.length-1-i]!==o&&(p.hasOwnProperty(o)?(n.push({command:Ht.removeLayer,args:[o]}),v.splice(v.lastIndexOf(o,v.length-a),1)):a++,u=v[v.length-i],n.push({command:Ht.addLayer,args:[d[o],u]}),v.splice(v.length-i,0,o),g[o]=!0);for(i=0;i<h.length;i++)if(s=p[o=h[i]],l=d[o],!g[o]&&!t.deepEqual(s,l))if(t.deepEqual(s.source,l.source)&&t.deepEqual(s[\"source-layer\"],l[\"source-layer\"])&&t.deepEqual(s.type,l.type)){for(c in Wt(s.layout,l.layout,n,o,null,Ht.setLayoutProperty),Wt(s.paint,l.paint,n,o,null,Ht.setPaintProperty),t.deepEqual(s.filter,l.filter)||n.push({command:Ht.setFilter,args:[o,l.filter]}),t.deepEqual(s.minzoom,l.minzoom)&&t.deepEqual(s.maxzoom,l.maxzoom)||n.push({command:Ht.setLayerZoomRange,args:[o,l.minzoom,l.maxzoom]}),s)s.hasOwnProperty(c)&&\"layout\"!==c&&\"paint\"!==c&&\"filter\"!==c&&\"metadata\"!==c&&\"minzoom\"!==c&&\"maxzoom\"!==c&&(0===c.indexOf(\"paint.\")?Wt(s[c],l[c],n,o,c.slice(6),Ht.setPaintProperty):t.deepEqual(s[c],l[c])||n.push({command:Ht.setLayerProperty,args:[o,c,l[c]]}));for(c in l)l.hasOwnProperty(c)&&!s.hasOwnProperty(c)&&\"layout\"!==c&&\"paint\"!==c&&\"filter\"!==c&&\"metadata\"!==c&&\"minzoom\"!==c&&\"maxzoom\"!==c&&(0===c.indexOf(\"paint.\")?Wt(s[c],l[c],n,o,c.slice(6),Ht.setPaintProperty):t.deepEqual(s[c],l[c])||n.push({command:Ht.setLayerProperty,args:[o,c,l[c]]}))}else n.push({command:Ht.removeLayer,args:[o]}),u=v[v.lastIndexOf(o)+1],n.push({command:Ht.addLayer,args:[l,u]})}(o,r.layers,n)}catch(t){console.warn(\"Unable to compute style diff:\",t),n=[{command:Ht.setStyle,args:[r]}]}return n}var $t=function(t,e){this.reset(t,e)};$t.prototype.reset=function(t,e){this.points=t||[],this._distances=[0];for(var r=1;r<this.points.length;r++)this._distances[r]=this._distances[r-1]+this.points[r].dist(this.points[r-1]);this.length=this._distances[this._distances.length-1],this.padding=Math.min(e||0,.5*this.length),this.paddedLength=this.length-2*this.padding},$t.prototype.lerp=function(e){if(1===this.points.length)return this.points[0];e=t.clamp(e,0,1);for(var r=1,n=this._distances[r],i=e*this.paddedLength+this.padding;n<i&&r<this._distances.length;)n=this._distances[++r];var a=r-1,o=this._distances[a],s=n-o,l=s>0?(i-o)/s:0;return this.points[a].mult(1-l).add(this.points[r].mult(l))};var Qt=function(t,e,r){var n=this.boxCells=[],i=this.circleCells=[];this.xCellCount=Math.ceil(t/r),this.yCellCount=Math.ceil(e/r);for(var a=0;a<this.xCellCount*this.yCellCount;a++)n.push([]),i.push([]);this.circleKeys=[],this.boxKeys=[],this.bboxes=[],this.circles=[],this.width=t,this.height=e,this.xScale=this.xCellCount/t,this.yScale=this.yCellCount/e,this.boxUid=0,this.circleUid=0};function te(e,r,n,i,a){var o=t.create();return r?(t.scale(o,o,[1/a,1/a,1]),n||t.rotateZ(o,o,i.angle)):t.multiply(o,i.labelPlaneMatrix,e),o}function ee(e,r,n,i,a){if(r){var o=t.clone(e);return t.scale(o,o,[a,a,1]),n||t.rotateZ(o,o,-i.angle),o}return i.glCoordMatrix}function re(e,r){var n=[e.x,e.y,0,1];pe(n,n,r);var i=n[3];return{point:new t.Point(n[0]/i,n[1]/i),signedDistanceFromCamera:i}}function ne(t,e){return.5+t/e*.5}function ie(t,e){var r=t[0]/t[3],n=t[1]/t[3];return r>=-e[0]&&r<=e[0]&&n>=-e[1]&&n<=e[1]}function ae(e,r,n,i,a,o,s,l){var u=i?e.textSizeData:e.iconSizeData,c=t.evaluateSizeForZoom(u,n.transform.zoom),f=[256/n.width*2+1,256/n.height*2+1],h=i?e.text.dynamicLayoutVertexArray:e.icon.dynamicLayoutVertexArray;h.clear();for(var p=e.lineVertexArray,d=i?e.text.placedSymbolArray:e.icon.placedSymbolArray,v=n.transform.width/n.transform.height,g=!1,y=0;y<d.length;y++){var m=d.get(y);if(m.hidden||m.writingMode===t.WritingMode.vertical&&!g)he(m.numGlyphs,h);else{g=!1;var x=[m.anchorX,m.anchorY,0,1];if(t.transformMat4(x,x,r),ie(x,f)){var b=x[3],_=ne(n.transform.cameraToCenterDistance,b),w=t.evaluateSizeForFeature(u,c,m),T=s?w/_:w*_,k=new t.Point(m.anchorX,m.anchorY),A=re(k,a).point,M={},S=le(m,T,!1,l,r,a,o,e.glyphOffsetArray,p,h,A,k,M,v);g=S.useVertical,(S.notEnoughRoom||g||S.needsFlipping&&le(m,T,!0,l,r,a,o,e.glyphOffsetArray,p,h,A,k,M,v).notEnoughRoom)&&he(m.numGlyphs,h)}else he(m.numGlyphs,h)}}i?e.text.dynamicLayoutVertexBuffer.updateData(h):e.icon.dynamicLayoutVertexBuffer.updateData(h)}function oe(t,e,r,n,i,a,o,s,l,u,c){var f=s.glyphStartIndex+s.numGlyphs,h=s.lineStartIndex,p=s.lineStartIndex+s.lineLength,d=e.getoffsetX(s.glyphStartIndex),v=e.getoffsetX(f-1),g=ce(t*d,r,n,i,a,o,s.segment,h,p,l,u,c);if(!g)return null;var y=ce(t*v,r,n,i,a,o,s.segment,h,p,l,u,c);return y?{first:g,last:y}:null}function se(e,r,n,i){return e===t.WritingMode.horizontal&&Math.abs(n.y-r.y)>Math.abs(n.x-r.x)*i?{useVertical:!0}:(e===t.WritingMode.vertical?r.y<n.y:r.x>n.x)?{needsFlipping:!0}:null}function le(e,r,n,i,a,o,s,l,u,c,f,h,p,d){var v,g=r/24,y=e.lineOffsetX*g,m=e.lineOffsetY*g;if(e.numGlyphs>1){var x=e.glyphStartIndex+e.numGlyphs,b=e.lineStartIndex,_=e.lineStartIndex+e.lineLength,w=oe(g,l,y,m,n,f,h,e,u,o,p);if(!w)return{notEnoughRoom:!0};var T=re(w.first.point,s).point,k=re(w.last.point,s).point;if(i&&!n){var A=se(e.writingMode,T,k,d);if(A)return A}v=[w.first];for(var M=e.glyphStartIndex+1;M<x-1;M++)v.push(ce(g*l.getoffsetX(M),y,m,n,f,h,e.segment,b,_,u,o,p));v.push(w.last)}else{if(i&&!n){var S=re(h,a).point,E=e.lineStartIndex+e.segment+1,L=new t.Point(u.getx(E),u.gety(E)),C=re(L,a),P=C.signedDistanceFromCamera>0?C.point:ue(h,L,S,1,a),O=se(e.writingMode,S,P,d);if(O)return O}var I=ce(g*l.getoffsetX(e.glyphStartIndex),y,m,n,f,h,e.segment,e.lineStartIndex,e.lineStartIndex+e.lineLength,u,o,p);if(!I)return{notEnoughRoom:!0};v=[I]}for(var D=0,z=v;D<z.length;D+=1){var R=z[D];t.addDynamicAttributes(c,R.point,R.angle)}return{}}function ue(t,e,r,n,i){var a=re(t.add(t.sub(e)._unit()),i).point,o=r.sub(a);return r.add(o._mult(n/o.mag()))}function ce(e,r,n,i,a,o,s,l,u,c,f,h){var p=i?e-r:e+r,d=p>0?1:-1,v=0;i&&(d*=-1,v=Math.PI),d<0&&(v+=Math.PI);for(var g=d>0?l+s:l+s+1,y=a,m=a,x=0,b=0,_=Math.abs(p),w=[];x+b<=_;){if((g+=d)<l||g>=u)return null;if(m=y,w.push(y),void 0===(y=h[g])){var T=new t.Point(c.getx(g),c.gety(g)),k=re(T,f);if(k.signedDistanceFromCamera>0)y=h[g]=k.point;else{var A=g-d;y=ue(0===x?o:new t.Point(c.getx(A),c.gety(A)),T,m,_-x+1,f)}}x+=b,b=m.dist(y)}var M=(_-x)/b,S=y.sub(m),E=S.mult(M)._add(m);E._add(S._unit()._perp()._mult(n*d));var L=v+Math.atan2(y.y-m.y,y.x-m.x);return w.push(E),{point:E,angle:L,path:w}}Qt.prototype.keysLength=function(){return this.boxKeys.length+this.circleKeys.length},Qt.prototype.insert=function(t,e,r,n,i){this._forEachCell(e,r,n,i,this._insertBoxCell,this.boxUid++),this.boxKeys.push(t),this.bboxes.push(e),this.bboxes.push(r),this.bboxes.push(n),this.bboxes.push(i)},Qt.prototype.insertCircle=function(t,e,r,n){this._forEachCell(e-n,r-n,e+n,r+n,this._insertCircleCell,this.circleUid++),this.circleKeys.push(t),this.circles.push(e),this.circles.push(r),this.circles.push(n)},Qt.prototype._insertBoxCell=function(t,e,r,n,i,a){this.boxCells[i].push(a)},Qt.prototype._insertCircleCell=function(t,e,r,n,i,a){this.circleCells[i].push(a)},Qt.prototype._query=function(t,e,r,n,i,a){if(r<0||t>this.width||n<0||e>this.height)return!i&&[];var o=[];if(t<=0&&e<=0&&this.width<=r&&this.height<=n){if(i)return!0;for(var s=0;s<this.boxKeys.length;s++)o.push({key:this.boxKeys[s],x1:this.bboxes[4*s],y1:this.bboxes[4*s+1],x2:this.bboxes[4*s+2],y2:this.bboxes[4*s+3]});for(var l=0;l<this.circleKeys.length;l++){var u=this.circles[3*l],c=this.circles[3*l+1],f=this.circles[3*l+2];o.push({key:this.circleKeys[l],x1:u-f,y1:c-f,x2:u+f,y2:c+f})}return a?o.filter(a):o}var h={hitTest:i,seenUids:{box:{},circle:{}}};return this._forEachCell(t,e,r,n,this._queryCell,o,h,a),i?o.length>0:o},Qt.prototype._queryCircle=function(t,e,r,n,i){var a=t-r,o=t+r,s=e-r,l=e+r;if(o<0||a>this.width||l<0||s>this.height)return!n&&[];var u=[],c={hitTest:n,circle:{x:t,y:e,radius:r},seenUids:{box:{},circle:{}}};return this._forEachCell(a,s,o,l,this._queryCellCircle,u,c,i),n?u.length>0:u},Qt.prototype.query=function(t,e,r,n,i){return this._query(t,e,r,n,!1,i)},Qt.prototype.hitTest=function(t,e,r,n,i){return this._query(t,e,r,n,!0,i)},Qt.prototype.hitTestCircle=function(t,e,r,n){return this._queryCircle(t,e,r,!0,n)},Qt.prototype._queryCell=function(t,e,r,n,i,a,o,s){var l=o.seenUids,u=this.boxCells[i];if(null!==u)for(var c=this.bboxes,f=0,h=u;f<h.length;f+=1){var p=h[f];if(!l.box[p]){l.box[p]=!0;var d=4*p;if(t<=c[d+2]&&e<=c[d+3]&&r>=c[d+0]&&n>=c[d+1]&&(!s||s(this.boxKeys[p]))){if(o.hitTest)return a.push(!0),!0;a.push({key:this.boxKeys[p],x1:c[d],y1:c[d+1],x2:c[d+2],y2:c[d+3]})}}}var v=this.circleCells[i];if(null!==v)for(var g=this.circles,y=0,m=v;y<m.length;y+=1){var x=m[y];if(!l.circle[x]){l.circle[x]=!0;var b=3*x;if(this._circleAndRectCollide(g[b],g[b+1],g[b+2],t,e,r,n)&&(!s||s(this.circleKeys[x]))){if(o.hitTest)return a.push(!0),!0;var _=g[b],w=g[b+1],T=g[b+2];a.push({key:this.circleKeys[x],x1:_-T,y1:w-T,x2:_+T,y2:w+T})}}}},Qt.prototype._queryCellCircle=function(t,e,r,n,i,a,o,s){var l=o.circle,u=o.seenUids,c=this.boxCells[i];if(null!==c)for(var f=this.bboxes,h=0,p=c;h<p.length;h+=1){var d=p[h];if(!u.box[d]){u.box[d]=!0;var v=4*d;if(this._circleAndRectCollide(l.x,l.y,l.radius,f[v+0],f[v+1],f[v+2],f[v+3])&&(!s||s(this.boxKeys[d])))return a.push(!0),!0}}var g=this.circleCells[i];if(null!==g)for(var y=this.circles,m=0,x=g;m<x.length;m+=1){var b=x[m];if(!u.circle[b]){u.circle[b]=!0;var _=3*b;if(this._circlesCollide(y[_],y[_+1],y[_+2],l.x,l.y,l.radius)&&(!s||s(this.circleKeys[b])))return a.push(!0),!0}}},Qt.prototype._forEachCell=function(t,e,r,n,i,a,o,s){for(var l=this._convertToXCellCoord(t),u=this._convertToYCellCoord(e),c=this._convertToXCellCoord(r),f=this._convertToYCellCoord(n),h=l;h<=c;h++)for(var p=u;p<=f;p++){var d=this.xCellCount*p+h;if(i.call(this,t,e,r,n,d,a,o,s))return}},Qt.prototype._convertToXCellCoord=function(t){return Math.max(0,Math.min(this.xCellCount-1,Math.floor(t*this.xScale)))},Qt.prototype._convertToYCellCoord=function(t){return Math.max(0,Math.min(this.yCellCount-1,Math.floor(t*this.yScale)))},Qt.prototype._circlesCollide=function(t,e,r,n,i,a){var o=n-t,s=i-e,l=r+a;return l*l>o*o+s*s},Qt.prototype._circleAndRectCollide=function(t,e,r,n,i,a,o){var s=(a-n)/2,l=Math.abs(t-(n+s));if(l>s+r)return!1;var u=(o-i)/2,c=Math.abs(e-(i+u));if(c>u+r)return!1;if(l<=s||c<=u)return!0;var f=l-s,h=c-u;return f*f+h*h<=r*r};var fe=new Float32Array([-1/0,-1/0,0,-1/0,-1/0,0,-1/0,-1/0,0,-1/0,-1/0,0]);function he(t,e){for(var r=0;r<t;r++){var n=e.length;e.resize(n+4),e.float32.set(fe,3*n)}}function pe(t,e,r){var n=e[0],i=e[1];return t[0]=r[0]*n+r[4]*i+r[12],t[1]=r[1]*n+r[5]*i+r[13],t[3]=r[3]*n+r[7]*i+r[15],t}var de=100,ve=function(t,e,r){void 0===e&&(e=new Qt(t.width+200,t.height+200,25)),void 0===r&&(r=new Qt(t.width+200,t.height+200,25)),this.transform=t,this.grid=e,this.ignoredGrid=r,this.pitchfactor=Math.cos(t._pitch)*t.cameraToCenterDistance,this.screenRightBoundary=t.width+de,this.screenBottomBoundary=t.height+de,this.gridRightBoundary=t.width+200,this.gridBottomBoundary=t.height+200};function ge(e,r,n){return r*(t.EXTENT/(e.tileSize*Math.pow(2,n-e.tileID.overscaledZ)))}ve.prototype.placeCollisionBox=function(t,e,r,n,i){var a=this.projectAndGetPerspectiveRatio(n,t.anchorPointX,t.anchorPointY),o=r*a.perspectiveRatio,s=t.x1*o+a.point.x,l=t.y1*o+a.point.y,u=t.x2*o+a.point.x,c=t.y2*o+a.point.y;return!this.isInsideGrid(s,l,u,c)||!e&&this.grid.hitTest(s,l,u,c,i)?{box:[],offscreen:!1}:{box:[s,l,u,c],offscreen:this.isOffscreen(s,l,u,c)}},ve.prototype.placeCollisionCircles=function(e,r,n,i,a,o,s,l,u,c,f,h,p){var d=[],v=new t.Point(r.anchorX,r.anchorY),g=re(v,o),y=ne(this.transform.cameraToCenterDistance,g.signedDistanceFromCamera),m=(c?a/y:a*y)/t.ONE_EM,x=re(v,s).point,b=oe(m,i,r.lineOffsetX*m,r.lineOffsetY*m,!1,x,v,r,n,s,{}),_=!1,w=!1,T=!0;if(b){for(var k=.5*h*y+p,A=new t.Point(-100,-100),M=new t.Point(this.screenRightBoundary,this.screenBottomBoundary),S=new $t,E=b.first,L=b.last,C=[],P=E.path.length-1;P>=1;P--)C.push(E.path[P]);for(var O=1;O<L.path.length;O++)C.push(L.path[O]);var I=2.5*k;if(l){var D=C.map((function(t){return re(t,l)}));C=D.some((function(t){return t.signedDistanceFromCamera<=0}))?[]:D.map((function(t){return t.point}))}var z=[];if(C.length>0){for(var R=C[0].clone(),F=C[0].clone(),B=1;B<C.length;B++)R.x=Math.min(R.x,C[B].x),R.y=Math.min(R.y,C[B].y),F.x=Math.max(F.x,C[B].x),F.y=Math.max(F.y,C[B].y);z=R.x>=A.x&&F.x<=M.x&&R.y>=A.y&&F.y<=M.y?[C]:F.x<A.x||R.x>M.x||F.y<A.y||R.y>M.y?[]:t.clipLine([C],A.x,A.y,M.x,M.y)}for(var N=0,j=z;N<j.length;N+=1){var U=j[N];S.reset(U,.25*k);var V;V=S.length<=.5*k?1:Math.ceil(S.paddedLength/I)+1;for(var H=0;H<V;H++){var q=H/Math.max(V-1,1),G=S.lerp(q),Z=G.x+de,Y=G.y+de;d.push(Z,Y,k,0);var W=Z-k,X=Y-k,J=Z+k,K=Y+k;if(T=T&&this.isOffscreen(W,X,J,K),w=w||this.isInsideGrid(W,X,J,K),!e&&this.grid.hitTestCircle(Z,Y,k,f)&&(_=!0,!u))return{circles:[],offscreen:!1,collisionDetected:_}}}}return{circles:!u&&_||!w?[]:d,offscreen:T,collisionDetected:_}},ve.prototype.queryRenderedSymbols=function(e){if(0===e.length||0===this.grid.keysLength()&&0===this.ignoredGrid.keysLength())return{};for(var r=[],n=1/0,i=1/0,a=-1/0,o=-1/0,s=0,l=e;s<l.length;s+=1){var u=l[s],c=new t.Point(u.x+de,u.y+de);n=Math.min(n,c.x),i=Math.min(i,c.y),a=Math.max(a,c.x),o=Math.max(o,c.y),r.push(c)}for(var f={},h={},p=0,d=this.grid.query(n,i,a,o).concat(this.ignoredGrid.query(n,i,a,o));p<d.length;p+=1){var v=d[p],g=v.key;if(void 0===f[g.bucketInstanceId]&&(f[g.bucketInstanceId]={}),!f[g.bucketInstanceId][g.featureIndex]){var y=[new t.Point(v.x1,v.y1),new t.Point(v.x2,v.y1),new t.Point(v.x2,v.y2),new t.Point(v.x1,v.y2)];t.polygonIntersectsPolygon(r,y)&&(f[g.bucketInstanceId][g.featureIndex]=!0,void 0===h[g.bucketInstanceId]&&(h[g.bucketInstanceId]=[]),h[g.bucketInstanceId].push(g.featureIndex))}}return h},ve.prototype.insertCollisionBox=function(t,e,r,n,i){var a={bucketInstanceId:r,featureIndex:n,collisionGroupID:i};(e?this.ignoredGrid:this.grid).insert(a,t[0],t[1],t[2],t[3])},ve.prototype.insertCollisionCircles=function(t,e,r,n,i){for(var a=e?this.ignoredGrid:this.grid,o={bucketInstanceId:r,featureIndex:n,collisionGroupID:i},s=0;s<t.length;s+=4)a.insertCircle(o,t[s],t[s+1],t[s+2])},ve.prototype.projectAndGetPerspectiveRatio=function(e,r,n){var i=[r,n,0,1];return pe(i,i,e),{point:new t.Point((i[0]/i[3]+1)/2*this.transform.width+de,(-i[1]/i[3]+1)/2*this.transform.height+de),perspectiveRatio:.5+this.transform.cameraToCenterDistance/i[3]*.5}},ve.prototype.isOffscreen=function(t,e,r,n){return r<de||t>=this.screenRightBoundary||n<de||e>this.screenBottomBoundary},ve.prototype.isInsideGrid=function(t,e,r,n){return r>=0&&t<this.gridRightBoundary&&n>=0&&e<this.gridBottomBoundary},ve.prototype.getViewportMatrix=function(){var e=t.identity([]);return t.translate(e,e,[-100,-100,0]),e};var ye=function(t,e,r,n){this.opacity=t?Math.max(0,Math.min(1,t.opacity+(t.placed?e:-e))):n&&r?1:0,this.placed=r};ye.prototype.isHidden=function(){return 0===this.opacity&&!this.placed};var me=function(t,e,r,n,i){this.text=new ye(t?t.text:null,e,r,i),this.icon=new ye(t?t.icon:null,e,n,i)};me.prototype.isHidden=function(){return this.text.isHidden()&&this.icon.isHidden()};var xe=function(t,e,r){this.text=t,this.icon=e,this.skipFade=r},be=function(){this.invProjMatrix=t.create(),this.viewportMatrix=t.create(),this.circles=[]},_e=function(t,e,r,n,i){this.bucketInstanceId=t,this.featureIndex=e,this.sourceLayerIndex=r,this.bucketIndex=n,this.tileID=i},we=function(t){this.crossSourceCollisions=t,this.maxGroupID=0,this.collisionGroups={}};function Te(e,r,n,i,a){var o=t.getAnchorAlignment(e),s=-(o.horizontalAlign-.5)*r,l=-(o.verticalAlign-.5)*n,u=t.evaluateVariableOffset(e,i);return new t.Point(s+u[0]*a,l+u[1]*a)}function ke(e,r,n,i,a,o){var s=e.x1,l=e.x2,u=e.y1,c=e.y2,f=e.anchorPointX,h=e.anchorPointY,p=new t.Point(r,n);return i&&p._rotate(a?o:-o),{x1:s+p.x,y1:u+p.y,x2:l+p.x,y2:c+p.y,anchorPointX:f,anchorPointY:h}}we.prototype.get=function(t){if(this.crossSourceCollisions)return{ID:0,predicate:null};if(!this.collisionGroups[t]){var e=++this.maxGroupID;this.collisionGroups[t]={ID:e,predicate:function(t){return t.collisionGroupID===e}}}return this.collisionGroups[t]};var Ae=function(t,e,r,n){this.transform=t.clone(),this.collisionIndex=new ve(this.transform),this.placements={},this.opacities={},this.variableOffsets={},this.stale=!1,this.commitTime=0,this.fadeDuration=e,this.retainedQueryData={},this.collisionGroups=new we(r),this.collisionCircleArrays={},this.prevPlacement=n,n&&(n.prevPlacement=void 0),this.placedOrientations={}};function Me(t,e,r,n,i){t.emplaceBack(e?1:0,r?1:0,n||0,i||0),t.emplaceBack(e?1:0,r?1:0,n||0,i||0),t.emplaceBack(e?1:0,r?1:0,n||0,i||0),t.emplaceBack(e?1:0,r?1:0,n||0,i||0)}Ae.prototype.getBucketParts=function(e,r,n,i){var a=n.getBucket(r),o=n.latestFeatureIndex;if(a&&o&&r.id===a.layerIds[0]){var s=n.collisionBoxArray,l=a.layers[0].layout,u=Math.pow(2,this.transform.zoom-n.tileID.overscaledZ),c=n.tileSize/t.EXTENT,f=this.transform.calculatePosMatrix(n.tileID.toUnwrapped()),h=\"map\"===l.get(\"text-pitch-alignment\"),p=\"map\"===l.get(\"text-rotation-alignment\"),d=ge(n,1,this.transform.zoom),v=te(f,h,p,this.transform,d),g=null;if(h){var y=ee(f,h,p,this.transform,d);g=t.multiply([],this.transform.labelPlaneMatrix,y)}this.retainedQueryData[a.bucketInstanceId]=new _e(a.bucketInstanceId,o,a.sourceLayerIndex,a.index,n.tileID);var m={bucket:a,layout:l,posMatrix:f,textLabelPlaneMatrix:v,labelToScreenMatrix:g,scale:u,textPixelRatio:c,holdingForFade:n.holdingForFade(),collisionBoxArray:s,partiallyEvaluatedTextSize:t.evaluateSizeForZoom(a.textSizeData,this.transform.zoom),collisionGroup:this.collisionGroups.get(a.sourceID)};if(i)for(var x=0,b=a.sortKeyRanges;x<b.length;x+=1){var _=b[x],w=_.sortKey,T=_.symbolInstanceStart,k=_.symbolInstanceEnd;e.push({sortKey:w,symbolInstanceStart:T,symbolInstanceEnd:k,parameters:m})}else e.push({symbolInstanceStart:0,symbolInstanceEnd:a.symbolInstances.length,parameters:m})}},Ae.prototype.attemptAnchorPlacement=function(t,e,r,n,i,a,o,s,l,u,c,f,h,p,d){var v,g=[f.textOffset0,f.textOffset1],y=Te(t,r,n,g,i),m=this.collisionIndex.placeCollisionBox(ke(e,y.x,y.y,a,o,this.transform.angle),c,s,l,u.predicate);if(!d||0!==this.collisionIndex.placeCollisionBox(ke(d,y.x,y.y,a,o,this.transform.angle),c,s,l,u.predicate).box.length)return m.box.length>0?(this.prevPlacement&&this.prevPlacement.variableOffsets[f.crossTileID]&&this.prevPlacement.placements[f.crossTileID]&&this.prevPlacement.placements[f.crossTileID].text&&(v=this.prevPlacement.variableOffsets[f.crossTileID].anchor),this.variableOffsets[f.crossTileID]={textOffset:g,width:r,height:n,anchor:t,textBoxScale:i,prevAnchor:v},this.markUsedJustification(h,t,f,p),h.allowVerticalPlacement&&(this.markUsedOrientation(h,p,f),this.placedOrientations[f.crossTileID]=p),{shift:y,placedGlyphBoxes:m}):void 0},Ae.prototype.placeLayerBucketPart=function(e,r,n){var i=this,a=e.parameters,o=a.bucket,s=a.layout,l=a.posMatrix,u=a.textLabelPlaneMatrix,c=a.labelToScreenMatrix,f=a.textPixelRatio,h=a.holdingForFade,p=a.collisionBoxArray,d=a.partiallyEvaluatedTextSize,v=a.collisionGroup,g=s.get(\"text-optional\"),y=s.get(\"icon-optional\"),m=s.get(\"text-allow-overlap\"),x=s.get(\"icon-allow-overlap\"),b=\"map\"===s.get(\"text-rotation-alignment\"),_=\"map\"===s.get(\"text-pitch-alignment\"),w=\"none\"!==s.get(\"icon-text-fit\"),T=\"viewport-y\"===s.get(\"symbol-z-order\"),k=m&&(x||!o.hasIconData()||y),A=x&&(m||!o.hasTextData()||g);!o.collisionArrays&&p&&o.deserializeCollisionBoxes(p);var M=function(e,a){if(!r[e.crossTileID])if(h)i.placements[e.crossTileID]=new xe(!1,!1,!1);else{var p,T=!1,M=!1,S=!0,E=null,L={box:null,offscreen:null},C={box:null,offscreen:null},P=null,O=null,I=0,D=0,z=0;a.textFeatureIndex?I=a.textFeatureIndex:e.useRuntimeCollisionCircles&&(I=e.featureIndex),a.verticalTextFeatureIndex&&(D=a.verticalTextFeatureIndex);var R=a.textBox;if(R){var F=function(r){var n=t.WritingMode.horizontal;if(o.allowVerticalPlacement&&!r&&i.prevPlacement){var a=i.prevPlacement.placedOrientations[e.crossTileID];a&&(i.placedOrientations[e.crossTileID]=a,n=a,i.markUsedOrientation(o,n,e))}return n},B=function(r,n){if(o.allowVerticalPlacement&&e.numVerticalGlyphVertices>0&&a.verticalTextBox)for(var i=0,s=o.writingModes;i<s.length&&(s[i]===t.WritingMode.vertical?(L=n(),C=L):L=r(),!(L&&L.box&&L.box.length));i+=1);else L=r()};if(s.get(\"text-variable-anchor\")){var N=s.get(\"text-variable-anchor\");if(i.prevPlacement&&i.prevPlacement.variableOffsets[e.crossTileID]){var j=i.prevPlacement.variableOffsets[e.crossTileID];N.indexOf(j.anchor)>0&&(N=N.filter((function(t){return t!==j.anchor}))).unshift(j.anchor)}var U=function(t,r,n){for(var a=t.x2-t.x1,s=t.y2-t.y1,u=e.textBoxScale,c=w&&!x?r:null,h={box:[],offscreen:!1},p=m?2*N.length:N.length,d=0;d<p;++d){var g=N[d%N.length],y=d>=N.length,k=i.attemptAnchorPlacement(g,t,a,s,u,b,_,f,l,v,y,e,o,n,c);if(k&&(h=k.placedGlyphBoxes)&&h.box&&h.box.length){T=!0,E=k.shift;break}}return h};B((function(){return U(R,a.iconBox,t.WritingMode.horizontal)}),(function(){var r=a.verticalTextBox,n=L&&L.box&&L.box.length;return o.allowVerticalPlacement&&!n&&e.numVerticalGlyphVertices>0&&r?U(r,a.verticalIconBox,t.WritingMode.vertical):{box:null,offscreen:null}})),L&&(T=L.box,S=L.offscreen);var V=F(L&&L.box);if(!T&&i.prevPlacement){var H=i.prevPlacement.variableOffsets[e.crossTileID];H&&(i.variableOffsets[e.crossTileID]=H,i.markUsedJustification(o,H.anchor,e,V))}}else{var q=function(t,r){var n=i.collisionIndex.placeCollisionBox(t,m,f,l,v.predicate);return n&&n.box&&n.box.length&&(i.markUsedOrientation(o,r,e),i.placedOrientations[e.crossTileID]=r),n};B((function(){return q(R,t.WritingMode.horizontal)}),(function(){var r=a.verticalTextBox;return o.allowVerticalPlacement&&e.numVerticalGlyphVertices>0&&r?q(r,t.WritingMode.vertical):{box:null,offscreen:null}})),F(L&&L.box&&L.box.length)}}if(T=(p=L)&&p.box&&p.box.length>0,S=p&&p.offscreen,e.useRuntimeCollisionCircles){var G=o.text.placedSymbolArray.get(e.centerJustifiedTextSymbolIndex),Z=t.evaluateSizeForFeature(o.textSizeData,d,G),Y=s.get(\"text-padding\"),W=e.collisionCircleDiameter;P=i.collisionIndex.placeCollisionCircles(m,G,o.lineVertexArray,o.glyphOffsetArray,Z,l,u,c,n,_,v.predicate,W,Y),T=m||P.circles.length>0&&!P.collisionDetected,S=S&&P.offscreen}if(a.iconFeatureIndex&&(z=a.iconFeatureIndex),a.iconBox){var X=function(t){var e=w&&E?ke(t,E.x,E.y,b,_,i.transform.angle):t;return i.collisionIndex.placeCollisionBox(e,x,f,l,v.predicate)};M=C&&C.box&&C.box.length&&a.verticalIconBox?(O=X(a.verticalIconBox)).box.length>0:(O=X(a.iconBox)).box.length>0,S=S&&O.offscreen}var J=g||0===e.numHorizontalGlyphVertices&&0===e.numVerticalGlyphVertices,K=y||0===e.numIconVertices;if(J||K?K?J||(M=M&&T):T=M&&T:M=T=M&&T,T&&p&&p.box&&(C&&C.box&&D?i.collisionIndex.insertCollisionBox(p.box,s.get(\"text-ignore-placement\"),o.bucketInstanceId,D,v.ID):i.collisionIndex.insertCollisionBox(p.box,s.get(\"text-ignore-placement\"),o.bucketInstanceId,I,v.ID)),M&&O&&i.collisionIndex.insertCollisionBox(O.box,s.get(\"icon-ignore-placement\"),o.bucketInstanceId,z,v.ID),P&&(T&&i.collisionIndex.insertCollisionCircles(P.circles,s.get(\"text-ignore-placement\"),o.bucketInstanceId,I,v.ID),n)){var $=o.bucketInstanceId,Q=i.collisionCircleArrays[$];void 0===Q&&(Q=i.collisionCircleArrays[$]=new be);for(var tt=0;tt<P.circles.length;tt+=4)Q.circles.push(P.circles[tt+0]),Q.circles.push(P.circles[tt+1]),Q.circles.push(P.circles[tt+2]),Q.circles.push(P.collisionDetected?1:0)}i.placements[e.crossTileID]=new xe(T||k,M||A,S||o.justReloaded),r[e.crossTileID]=!0}};if(T)for(var S=o.getSortedSymbolIndexes(this.transform.angle),E=S.length-1;E>=0;--E){var L=S[E];M(o.symbolInstances.get(L),o.collisionArrays[L])}else for(var C=e.symbolInstanceStart;C<e.symbolInstanceEnd;C++)M(o.symbolInstances.get(C),o.collisionArrays[C]);if(n&&o.bucketInstanceId in this.collisionCircleArrays){var P=this.collisionCircleArrays[o.bucketInstanceId];t.invert(P.invProjMatrix,l),P.viewportMatrix=this.collisionIndex.getViewportMatrix()}o.justReloaded=!1},Ae.prototype.markUsedJustification=function(e,r,n,i){var a,o={left:n.leftJustifiedTextSymbolIndex,center:n.centerJustifiedTextSymbolIndex,right:n.rightJustifiedTextSymbolIndex};a=i===t.WritingMode.vertical?n.verticalPlacedTextSymbolIndex:o[t.getAnchorJustification(r)];for(var s=0,l=[n.leftJustifiedTextSymbolIndex,n.centerJustifiedTextSymbolIndex,n.rightJustifiedTextSymbolIndex,n.verticalPlacedTextSymbolIndex];s<l.length;s+=1){var u=l[s];u>=0&&(e.text.placedSymbolArray.get(u).crossTileID=a>=0&&u!==a?0:n.crossTileID)}},Ae.prototype.markUsedOrientation=function(e,r,n){for(var i=r===t.WritingMode.horizontal||r===t.WritingMode.horizontalOnly?r:0,a=r===t.WritingMode.vertical?r:0,o=0,s=[n.leftJustifiedTextSymbolIndex,n.centerJustifiedTextSymbolIndex,n.rightJustifiedTextSymbolIndex];o<s.length;o+=1){var l=s[o];e.text.placedSymbolArray.get(l).placedOrientation=i}n.verticalPlacedTextSymbolIndex&&(e.text.placedSymbolArray.get(n.verticalPlacedTextSymbolIndex).placedOrientation=a)},Ae.prototype.commit=function(t){this.commitTime=t,this.zoomAtLastRecencyCheck=this.transform.zoom;var e=this.prevPlacement,r=!1;this.prevZoomAdjustment=e?e.zoomAdjustment(this.transform.zoom):0;var n=e?e.symbolFadeChange(t):1,i=e?e.opacities:{},a=e?e.variableOffsets:{},o=e?e.placedOrientations:{};for(var s in this.placements){var l=this.placements[s],u=i[s];u?(this.opacities[s]=new me(u,n,l.text,l.icon),r=r||l.text!==u.text.placed||l.icon!==u.icon.placed):(this.opacities[s]=new me(null,n,l.text,l.icon,l.skipFade),r=r||l.text||l.icon)}for(var c in i){var f=i[c];if(!this.opacities[c]){var h=new me(f,n,!1,!1);h.isHidden()||(this.opacities[c]=h,r=r||f.text.placed||f.icon.placed)}}for(var p in a)this.variableOffsets[p]||!this.opacities[p]||this.opacities[p].isHidden()||(this.variableOffsets[p]=a[p]);for(var d in o)this.placedOrientations[d]||!this.opacities[d]||this.opacities[d].isHidden()||(this.placedOrientations[d]=o[d]);r?this.lastPlacementChangeTime=t:\"number\"!=typeof this.lastPlacementChangeTime&&(this.lastPlacementChangeTime=e?e.lastPlacementChangeTime:t)},Ae.prototype.updateLayerOpacities=function(t,e){for(var r={},n=0,i=e;n<i.length;n+=1){var a=i[n],o=a.getBucket(t);o&&a.latestFeatureIndex&&t.id===o.layerIds[0]&&this.updateBucketOpacities(o,r,a.collisionBoxArray)}},Ae.prototype.updateBucketOpacities=function(e,r,n){var i=this;e.hasTextData()&&e.text.opacityVertexArray.clear(),e.hasIconData()&&e.icon.opacityVertexArray.clear(),e.hasIconCollisionBoxData()&&e.iconCollisionBox.collisionVertexArray.clear(),e.hasTextCollisionBoxData()&&e.textCollisionBox.collisionVertexArray.clear();var a=e.layers[0].layout,o=new me(null,0,!1,!1,!0),s=a.get(\"text-allow-overlap\"),l=a.get(\"icon-allow-overlap\"),u=a.get(\"text-variable-anchor\"),c=\"map\"===a.get(\"text-rotation-alignment\"),f=\"map\"===a.get(\"text-pitch-alignment\"),h=\"none\"!==a.get(\"icon-text-fit\"),p=new me(null,0,s&&(l||!e.hasIconData()||a.get(\"icon-optional\")),l&&(s||!e.hasTextData()||a.get(\"text-optional\")),!0);!e.collisionArrays&&n&&(e.hasIconCollisionBoxData()||e.hasTextCollisionBoxData())&&e.deserializeCollisionBoxes(n);for(var d=function(t,e,r){for(var n=0;n<e/4;n++)t.opacityVertexArray.emplaceBack(r)},v=function(n){var a=e.symbolInstances.get(n),s=a.numHorizontalGlyphVertices,l=a.numVerticalGlyphVertices,v=a.crossTileID,g=r[v],y=i.opacities[v];g?y=o:y||(y=p,i.opacities[v]=y),r[v]=!0;var m=s>0||l>0,x=a.numIconVertices>0,b=i.placedOrientations[a.crossTileID],_=b===t.WritingMode.vertical,w=b===t.WritingMode.horizontal||b===t.WritingMode.horizontalOnly;if(m){var T=De(y.text),k=_?ze:T;d(e.text,s,k);var A=w?ze:T;d(e.text,l,A);var M=y.text.isHidden();[a.rightJustifiedTextSymbolIndex,a.centerJustifiedTextSymbolIndex,a.leftJustifiedTextSymbolIndex].forEach((function(t){t>=0&&(e.text.placedSymbolArray.get(t).hidden=M||_?1:0)})),a.verticalPlacedTextSymbolIndex>=0&&(e.text.placedSymbolArray.get(a.verticalPlacedTextSymbolIndex).hidden=M||w?1:0);var S=i.variableOffsets[a.crossTileID];S&&i.markUsedJustification(e,S.anchor,a,b);var E=i.placedOrientations[a.crossTileID];E&&(i.markUsedJustification(e,\"left\",a,E),i.markUsedOrientation(e,E,a))}if(x){var L=De(y.icon),C=!(h&&a.verticalPlacedIconSymbolIndex&&_);if(a.placedIconSymbolIndex>=0){var P=C?L:ze;d(e.icon,a.numIconVertices,P),e.icon.placedSymbolArray.get(a.placedIconSymbolIndex).hidden=y.icon.isHidden()}if(a.verticalPlacedIconSymbolIndex>=0){var O=C?ze:L;d(e.icon,a.numVerticalIconVertices,O),e.icon.placedSymbolArray.get(a.verticalPlacedIconSymbolIndex).hidden=y.icon.isHidden()}}if(e.hasIconCollisionBoxData()||e.hasTextCollisionBoxData()){var I=e.collisionArrays[n];if(I){var D=new t.Point(0,0);if(I.textBox||I.verticalTextBox){var z=!0;if(u){var R=i.variableOffsets[v];R?(D=Te(R.anchor,R.width,R.height,R.textOffset,R.textBoxScale),c&&D._rotate(f?i.transform.angle:-i.transform.angle)):z=!1}I.textBox&&Me(e.textCollisionBox.collisionVertexArray,y.text.placed,!z||_,D.x,D.y),I.verticalTextBox&&Me(e.textCollisionBox.collisionVertexArray,y.text.placed,!z||w,D.x,D.y)}var F=Boolean(!w&&I.verticalIconBox);I.iconBox&&Me(e.iconCollisionBox.collisionVertexArray,y.icon.placed,F,h?D.x:0,h?D.y:0),I.verticalIconBox&&Me(e.iconCollisionBox.collisionVertexArray,y.icon.placed,!F,h?D.x:0,h?D.y:0)}}},g=0;g<e.symbolInstances.length;g++)v(g);if(e.sortFeatures(this.transform.angle),this.retainedQueryData[e.bucketInstanceId]&&(this.retainedQueryData[e.bucketInstanceId].featureSortOrder=e.featureSortOrder),e.hasTextData()&&e.text.opacityVertexBuffer&&e.text.opacityVertexBuffer.updateData(e.text.opacityVertexArray),e.hasIconData()&&e.icon.opacityVertexBuffer&&e.icon.opacityVertexBuffer.updateData(e.icon.opacityVertexArray),e.hasIconCollisionBoxData()&&e.iconCollisionBox.collisionVertexBuffer&&e.iconCollisionBox.collisionVertexBuffer.updateData(e.iconCollisionBox.collisionVertexArray),e.hasTextCollisionBoxData()&&e.textCollisionBox.collisionVertexBuffer&&e.textCollisionBox.collisionVertexBuffer.updateData(e.textCollisionBox.collisionVertexArray),e.bucketInstanceId in this.collisionCircleArrays){var y=this.collisionCircleArrays[e.bucketInstanceId];e.placementInvProjMatrix=y.invProjMatrix,e.placementViewportMatrix=y.viewportMatrix,e.collisionCircleArray=y.circles,delete this.collisionCircleArrays[e.bucketInstanceId]}},Ae.prototype.symbolFadeChange=function(t){return 0===this.fadeDuration?1:(t-this.commitTime)/this.fadeDuration+this.prevZoomAdjustment},Ae.prototype.zoomAdjustment=function(t){return Math.max(0,(this.transform.zoom-t)/1.5)},Ae.prototype.hasTransitions=function(t){return this.stale||t-this.lastPlacementChangeTime<this.fadeDuration},Ae.prototype.stillRecent=function(t,e){var r=this.zoomAtLastRecencyCheck===e?1-this.zoomAdjustment(e):1;return this.zoomAtLastRecencyCheck=e,this.commitTime+this.fadeDuration*r>t},Ae.prototype.setStale=function(){this.stale=!0};var Se=Math.pow(2,25),Ee=Math.pow(2,24),Le=Math.pow(2,17),Ce=Math.pow(2,16),Pe=Math.pow(2,9),Oe=Math.pow(2,8),Ie=Math.pow(2,1);function De(t){if(0===t.opacity&&!t.placed)return 0;if(1===t.opacity&&t.placed)return 4294967295;var e=t.placed?1:0,r=Math.floor(127*t.opacity);return r*Se+e*Ee+r*Le+e*Ce+r*Pe+e*Oe+r*Ie+e}var ze=0,Re=function(t){this._sortAcrossTiles=\"viewport-y\"!==t.layout.get(\"symbol-z-order\")&&void 0!==t.layout.get(\"symbol-sort-key\").constantOr(1),this._currentTileIndex=0,this._currentPartIndex=0,this._seenCrossTileIDs={},this._bucketParts=[]};Re.prototype.continuePlacement=function(t,e,r,n,i){for(var a=this._bucketParts;this._currentTileIndex<t.length;){var o=t[this._currentTileIndex];if(e.getBucketParts(a,n,o,this._sortAcrossTiles),this._currentTileIndex++,i())return!0}for(this._sortAcrossTiles&&(this._sortAcrossTiles=!1,a.sort((function(t,e){return t.sortKey-e.sortKey})));this._currentPartIndex<a.length;){var s=a[this._currentPartIndex];if(e.placeLayerBucketPart(s,this._seenCrossTileIDs,r),this._currentPartIndex++,i())return!0}return!1};var Fe=function(t,e,r,n,i,a,o){this.placement=new Ae(t,i,a,o),this._currentPlacementIndex=e.length-1,this._forceFullPlacement=r,this._showCollisionBoxes=n,this._done=!1};Fe.prototype.isDone=function(){return this._done},Fe.prototype.continuePlacement=function(e,r,n){for(var i=this,a=t.browser.now(),o=function(){var e=t.browser.now()-a;return!i._forceFullPlacement&&e>2};this._currentPlacementIndex>=0;){var s=r[e[this._currentPlacementIndex]],l=this.placement.collisionIndex.transform.zoom;if(\"symbol\"===s.type&&(!s.minzoom||s.minzoom<=l)&&(!s.maxzoom||s.maxzoom>l)){if(this._inProgressLayer||(this._inProgressLayer=new Re(s)),this._inProgressLayer.continuePlacement(n[s.source],this.placement,this._showCollisionBoxes,s,o))return;delete this._inProgressLayer}this._currentPlacementIndex--}this._done=!0},Fe.prototype.commit=function(t){return this.placement.commit(t),this.placement};var Be=512/t.EXTENT/2,Ne=function(t,e,r){this.tileID=t,this.indexedSymbolInstances={},this.bucketInstanceId=r;for(var n=0;n<e.length;n++){var i=e.get(n),a=i.key;this.indexedSymbolInstances[a]||(this.indexedSymbolInstances[a]=[]),this.indexedSymbolInstances[a].push({crossTileID:i.crossTileID,coord:this.getScaledCoordinates(i,t)})}};Ne.prototype.getScaledCoordinates=function(e,r){var n=r.canonical.z-this.tileID.canonical.z,i=Be/Math.pow(2,n);return{x:Math.floor((r.canonical.x*t.EXTENT+e.anchorX)*i),y:Math.floor((r.canonical.y*t.EXTENT+e.anchorY)*i)}},Ne.prototype.findMatches=function(t,e,r){for(var n=this.tileID.canonical.z<e.canonical.z?1:Math.pow(2,this.tileID.canonical.z-e.canonical.z),i=0;i<t.length;i++){var a=t.get(i);if(!a.crossTileID){var o=this.indexedSymbolInstances[a.key];if(o)for(var s=this.getScaledCoordinates(a,e),l=0,u=o;l<u.length;l+=1){var c=u[l];if(Math.abs(c.coord.x-s.x)<=n&&Math.abs(c.coord.y-s.y)<=n&&!r[c.crossTileID]){r[c.crossTileID]=!0,a.crossTileID=c.crossTileID;break}}}}};var je=function(){this.maxCrossTileID=0};je.prototype.generate=function(){return++this.maxCrossTileID};var Ue=function(){this.indexes={},this.usedCrossTileIDs={},this.lng=0};Ue.prototype.handleWrapJump=function(t){var e=Math.round((t-this.lng)/360);if(0!==e)for(var r in this.indexes){var n=this.indexes[r],i={};for(var a in n){var o=n[a];o.tileID=o.tileID.unwrapTo(o.tileID.wrap+e),i[o.tileID.key]=o}this.indexes[r]=i}this.lng=t},Ue.prototype.addBucket=function(t,e,r){if(this.indexes[t.overscaledZ]&&this.indexes[t.overscaledZ][t.key]){if(this.indexes[t.overscaledZ][t.key].bucketInstanceId===e.bucketInstanceId)return!1;this.removeBucketCrossTileIDs(t.overscaledZ,this.indexes[t.overscaledZ][t.key])}for(var n=0;n<e.symbolInstances.length;n++)e.symbolInstances.get(n).crossTileID=0;this.usedCrossTileIDs[t.overscaledZ]||(this.usedCrossTileIDs[t.overscaledZ]={});var i=this.usedCrossTileIDs[t.overscaledZ];for(var a in this.indexes){var o=this.indexes[a];if(Number(a)>t.overscaledZ)for(var s in o){var l=o[s];l.tileID.isChildOf(t)&&l.findMatches(e.symbolInstances,t,i)}else{var u=o[t.scaledTo(Number(a)).key];u&&u.findMatches(e.symbolInstances,t,i)}}for(var c=0;c<e.symbolInstances.length;c++){var f=e.symbolInstances.get(c);f.crossTileID||(f.crossTileID=r.generate(),i[f.crossTileID]=!0)}return void 0===this.indexes[t.overscaledZ]&&(this.indexes[t.overscaledZ]={}),this.indexes[t.overscaledZ][t.key]=new Ne(t,e.symbolInstances,e.bucketInstanceId),!0},Ue.prototype.removeBucketCrossTileIDs=function(t,e){for(var r in e.indexedSymbolInstances)for(var n=0,i=e.indexedSymbolInstances[r];n<i.length;n+=1){var a=i[n];delete this.usedCrossTileIDs[t][a.crossTileID]}},Ue.prototype.removeStaleBuckets=function(t){var e=!1;for(var r in this.indexes){var n=this.indexes[r];for(var i in n)t[n[i].bucketInstanceId]||(this.removeBucketCrossTileIDs(r,n[i]),delete n[i],e=!0)}return e};var Ve=function(){this.layerIndexes={},this.crossTileIDs=new je,this.maxBucketInstanceId=0,this.bucketsInCurrentPlacement={}};Ve.prototype.addLayer=function(t,e,r){var n=this.layerIndexes[t.id];void 0===n&&(n=this.layerIndexes[t.id]=new Ue);var i=!1,a={};n.handleWrapJump(r);for(var o=0,s=e;o<s.length;o+=1){var l=s[o],u=l.getBucket(t);u&&t.id===u.layerIds[0]&&(u.bucketInstanceId||(u.bucketInstanceId=++this.maxBucketInstanceId),n.addBucket(l.tileID,u,this.crossTileIDs)&&(i=!0),a[u.bucketInstanceId]=!0)}return n.removeStaleBuckets(a)&&(i=!0),i},Ve.prototype.pruneUnusedLayers=function(t){var e={};for(var r in t.forEach((function(t){e[t]=!0})),this.layerIndexes)e[r]||delete this.layerIndexes[r]};var He=function(e,r){return t.emitValidationErrors(e,r&&r.filter((function(t){return\"source.canvas\"!==t.identifier})))},qe=t.pick(Ht,[\"addLayer\",\"removeLayer\",\"setPaintProperty\",\"setLayoutProperty\",\"setFilter\",\"addSource\",\"removeSource\",\"setLayerZoomRange\",\"setLight\",\"setTransition\",\"setGeoJSONSourceData\"]),Ge=t.pick(Ht,[\"setCenter\",\"setZoom\",\"setBearing\",\"setPitch\"]),Ze=function(){var e={},r=t.styleSpec.$version;for(var n in t.styleSpec.$root){var i=t.styleSpec.$root[n];if(i.required){var a;null!=(a=\"version\"===n?r:\"array\"===i.type?[]:{})&&(e[n]=a)}}return e}(),Ye=function(e){function r(n,i){var a=this;void 0===i&&(i={}),e.call(this),this.map=n,this.dispatcher=new A(jt(),this),this.imageManager=new h,this.imageManager.setEventedParent(this),this.glyphManager=new x(n._requestManager,i.localIdeographFontFamily),this.lineAtlas=new k(256,512),this.crossTileSymbolIndex=new Ve,this._layers={},this._serializedLayers={},this._order=[],this.sourceCaches={},this.zoomHistory=new t.ZoomHistory,this._loaded=!1,this._availableImages=[],this._resetUpdates(),this.dispatcher.broadcast(\"setReferrer\",t.getReferrer());var o=this;this._rtlTextPluginCallback=r.registerForPluginStateChange((function(e){var r={pluginStatus:e.pluginStatus,pluginURL:e.pluginURL};o.dispatcher.broadcast(\"syncRTLPluginState\",r,(function(e,r){if(t.triggerPluginCompletionEvent(e),r&&r.every((function(t){return t})))for(var n in o.sourceCaches)o.sourceCaches[n].reload()}))})),this.on(\"data\",(function(t){if(\"source\"===t.dataType&&\"metadata\"===t.sourceDataType){var e=a.sourceCaches[t.sourceId];if(e){var r=e.getSource();if(r&&r.vectorLayerIds)for(var n in a._layers){var i=a._layers[n];i.source===r.id&&a._validateLayer(i)}}}}))}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.loadURL=function(e,r){var n=this;void 0===r&&(r={}),this.fire(new t.Event(\"dataloading\",{dataType:\"style\"}));var i=\"boolean\"==typeof r.validate?r.validate:!t.isMapboxURL(e);e=this.map._requestManager.normalizeStyleURL(e,r.accessToken);var a=this.map._requestManager.transformRequest(e,t.ResourceType.Style);this._request=t.getJSON(a,(function(e,r){n._request=null,e?n.fire(new t.ErrorEvent(e)):r&&n._load(r,i)}))},r.prototype.loadJSON=function(e,r){var n=this;void 0===r&&(r={}),this.fire(new t.Event(\"dataloading\",{dataType:\"style\"})),this._request=t.browser.frame((function(){n._request=null,n._load(e,!1!==r.validate)}))},r.prototype.loadEmpty=function(){this.fire(new t.Event(\"dataloading\",{dataType:\"style\"})),this._load(Ze,!1)},r.prototype._load=function(e,r){if(!r||!He(this,t.validateStyle(e))){for(var n in this._loaded=!0,this.stylesheet=e,e.sources)this.addSource(n,e.sources[n],{validate:!1});e.sprite?this._loadSprite(e.sprite):this.imageManager.setLoaded(!0),this.glyphManager.setURL(e.glyphs);var i=Vt(this.stylesheet.layers);this._order=i.map((function(t){return t.id})),this._layers={},this._serializedLayers={};for(var a=0,o=i;a<o.length;a+=1){var s=o[a];(s=t.createStyleLayer(s)).setEventedParent(this,{layer:{id:s.id}}),this._layers[s.id]=s,this._serializedLayers[s.id]=s.serialize()}this.dispatcher.broadcast(\"setLayers\",this._serializeLayers(this._order)),this.light=new T(this.stylesheet.light),this.fire(new t.Event(\"data\",{dataType:\"style\"})),this.fire(new t.Event(\"style.load\"))}},r.prototype._loadSprite=function(e){var r=this;this._spriteRequest=function(e,r,n){var i,a,o,s=t.browser.devicePixelRatio>1?\"@2x\":\"\",l=t.getJSON(r.transformRequest(r.normalizeSpriteURL(e,s,\".json\"),t.ResourceType.SpriteJSON),(function(t,e){l=null,o||(o=t,i=e,c())})),u=t.getImage(r.transformRequest(r.normalizeSpriteURL(e,s,\".png\"),t.ResourceType.SpriteImage),(function(t,e){u=null,o||(o=t,a=e,c())}));function c(){if(o)n(o);else if(i&&a){var e=t.browser.getImageData(a),r={};for(var s in i){var l=i[s],u=l.width,c=l.height,f=l.x,h=l.y,p=l.sdf,d=l.pixelRatio,v=l.stretchX,g=l.stretchY,y=l.content,m=new t.RGBAImage({width:u,height:c});t.RGBAImage.copy(e,m,{x:f,y:h},{x:0,y:0},{width:u,height:c}),r[s]={data:m,pixelRatio:d,sdf:p,stretchX:v,stretchY:g,content:y}}n(null,r)}}return{cancel:function(){l&&(l.cancel(),l=null),u&&(u.cancel(),u=null)}}}(e,this.map._requestManager,(function(e,n){if(r._spriteRequest=null,e)r.fire(new t.ErrorEvent(e));else if(n)for(var i in n)r.imageManager.addImage(i,n[i]);r.imageManager.setLoaded(!0),r._availableImages=r.imageManager.listImages(),r.dispatcher.broadcast(\"setImages\",r._availableImages),r.fire(new t.Event(\"data\",{dataType:\"style\"}))}))},r.prototype._validateLayer=function(e){var r=this.sourceCaches[e.source];if(r){var n=e.sourceLayer;if(n){var i=r.getSource();(\"geojson\"===i.type||i.vectorLayerIds&&-1===i.vectorLayerIds.indexOf(n))&&this.fire(new t.ErrorEvent(new Error('Source layer \"'+n+'\" does not exist on source \"'+i.id+'\" as specified by style layer \"'+e.id+'\"')))}}},r.prototype.loaded=function(){if(!this._loaded)return!1;if(Object.keys(this._updatedSources).length)return!1;for(var t in this.sourceCaches)if(!this.sourceCaches[t].loaded())return!1;return!!this.imageManager.isLoaded()},r.prototype._serializeLayers=function(t){for(var e=[],r=0,n=t;r<n.length;r+=1){var i=n[r],a=this._layers[i];\"custom\"!==a.type&&e.push(a.serialize())}return e},r.prototype.hasTransitions=function(){if(this.light&&this.light.hasTransition())return!0;for(var t in this.sourceCaches)if(this.sourceCaches[t].hasTransition())return!0;for(var e in this._layers)if(this._layers[e].hasTransition())return!0;return!1},r.prototype._checkLoaded=function(){if(!this._loaded)throw new Error(\"Style is not done loading\")},r.prototype.update=function(e){if(this._loaded){var r=this._changed;if(this._changed){var n=Object.keys(this._updatedLayers),i=Object.keys(this._removedLayers);for(var a in(n.length||i.length)&&this._updateWorkerLayers(n,i),this._updatedSources){var o=this._updatedSources[a];\"reload\"===o?this._reloadSource(a):\"clear\"===o&&this._clearSource(a)}for(var s in this._updateTilesForChangedImages(),this._updatedPaintProps)this._layers[s].updateTransitions(e);this.light.updateTransitions(e),this._resetUpdates()}for(var l in this.sourceCaches)this.sourceCaches[l].used=!1;for(var u=0,c=this._order;u<c.length;u+=1){var f=c[u],h=this._layers[f];h.recalculate(e,this._availableImages),!h.isHidden(e.zoom)&&h.source&&(this.sourceCaches[h.source].used=!0)}this.light.recalculate(e),this.z=e.zoom,r&&this.fire(new t.Event(\"data\",{dataType:\"style\"}))}},r.prototype._updateTilesForChangedImages=function(){var t=Object.keys(this._changedImages);if(t.length){for(var e in this.sourceCaches)this.sourceCaches[e].reloadTilesForDependencies([\"icons\",\"patterns\"],t);this._changedImages={}}},r.prototype._updateWorkerLayers=function(t,e){this.dispatcher.broadcast(\"updateLayers\",{layers:this._serializeLayers(t),removedIds:e})},r.prototype._resetUpdates=function(){this._changed=!1,this._updatedLayers={},this._removedLayers={},this._updatedSources={},this._updatedPaintProps={},this._changedImages={}},r.prototype.setState=function(e){var r=this;if(this._checkLoaded(),He(this,t.validateStyle(e)))return!1;(e=t.clone$1(e)).layers=Vt(e.layers);var n=Kt(this.serialize(),e).filter((function(t){return!(t.command in Ge)}));if(0===n.length)return!1;var i=n.filter((function(t){return!(t.command in qe)}));if(i.length>0)throw new Error(\"Unimplemented: \"+i.map((function(t){return t.command})).join(\", \")+\".\");return n.forEach((function(t){\"setTransition\"!==t.command&&r[t.command].apply(r,t.args)})),this.stylesheet=e,!0},r.prototype.addImage=function(e,r){if(this.getImage(e))return this.fire(new t.ErrorEvent(new Error(\"An image with this name already exists.\")));this.imageManager.addImage(e,r),this._availableImages=this.imageManager.listImages(),this._changedImages[e]=!0,this._changed=!0,this.fire(new t.Event(\"data\",{dataType:\"style\"}))},r.prototype.updateImage=function(t,e){this.imageManager.updateImage(t,e)},r.prototype.getImage=function(t){return this.imageManager.getImage(t)},r.prototype.removeImage=function(e){if(!this.getImage(e))return this.fire(new t.ErrorEvent(new Error(\"No image with this name exists.\")));this.imageManager.removeImage(e),this._availableImages=this.imageManager.listImages(),this._changedImages[e]=!0,this._changed=!0,this.fire(new t.Event(\"data\",{dataType:\"style\"}))},r.prototype.listImages=function(){return this._checkLoaded(),this.imageManager.listImages()},r.prototype.addSource=function(e,r,n){var i=this;if(void 0===n&&(n={}),this._checkLoaded(),void 0!==this.sourceCaches[e])throw new Error(\"There is already a source with this ID\");if(!r.type)throw new Error(\"The type property must be defined, but the only the following properties were given: \"+Object.keys(r).join(\", \")+\".\");if(!([\"vector\",\"raster\",\"geojson\",\"video\",\"image\"].indexOf(r.type)>=0&&this._validate(t.validateStyle.source,\"sources.\"+e,r,null,n))){this.map&&this.map._collectResourceTiming&&(r.collectResourceTiming=!0);var a=this.sourceCaches[e]=new Ot(e,r,this.dispatcher);a.style=this,a.setEventedParent(this,(function(){return{isSourceLoaded:i.loaded(),source:a.serialize(),sourceId:e}})),a.onAdd(this.map),this._changed=!0}},r.prototype.removeSource=function(e){if(this._checkLoaded(),void 0===this.sourceCaches[e])throw new Error(\"There is no source with this ID\");for(var r in this._layers)if(this._layers[r].source===e)return this.fire(new t.ErrorEvent(new Error('Source \"'+e+'\" cannot be removed while layer \"'+r+'\" is using it.')));var n=this.sourceCaches[e];delete this.sourceCaches[e],delete this._updatedSources[e],n.fire(new t.Event(\"data\",{sourceDataType:\"metadata\",dataType:\"source\",sourceId:e})),n.setEventedParent(null),n.clearTiles(),n.onRemove&&n.onRemove(this.map),this._changed=!0},r.prototype.setGeoJSONSourceData=function(t,e){this._checkLoaded(),this.sourceCaches[t].getSource().setData(e),this._changed=!0},r.prototype.getSource=function(t){return this.sourceCaches[t]&&this.sourceCaches[t].getSource()},r.prototype.addLayer=function(e,r,n){void 0===n&&(n={}),this._checkLoaded();var i=e.id;if(this.getLayer(i))this.fire(new t.ErrorEvent(new Error('Layer with id \"'+i+'\" already exists on this map')));else{var a;if(\"custom\"===e.type){if(He(this,t.validateCustomStyleLayer(e)))return;a=t.createStyleLayer(e)}else{if(\"object\"==typeof e.source&&(this.addSource(i,e.source),e=t.clone$1(e),e=t.extend(e,{source:i})),this._validate(t.validateStyle.layer,\"layers.\"+i,e,{arrayIndex:-1},n))return;a=t.createStyleLayer(e),this._validateLayer(a),a.setEventedParent(this,{layer:{id:i}}),this._serializedLayers[a.id]=a.serialize()}var o=r?this._order.indexOf(r):this._order.length;if(r&&-1===o)this.fire(new t.ErrorEvent(new Error('Layer with id \"'+r+'\" does not exist on this map.')));else{if(this._order.splice(o,0,i),this._layerOrderChanged=!0,this._layers[i]=a,this._removedLayers[i]&&a.source&&\"custom\"!==a.type){var s=this._removedLayers[i];delete this._removedLayers[i],s.type!==a.type?this._updatedSources[a.source]=\"clear\":(this._updatedSources[a.source]=\"reload\",this.sourceCaches[a.source].pause())}this._updateLayer(a),a.onAdd&&a.onAdd(this.map)}}},r.prototype.moveLayer=function(e,r){if(this._checkLoaded(),this._changed=!0,this._layers[e]){if(e!==r){var n=this._order.indexOf(e);this._order.splice(n,1);var i=r?this._order.indexOf(r):this._order.length;r&&-1===i?this.fire(new t.ErrorEvent(new Error('Layer with id \"'+r+'\" does not exist on this map.'))):(this._order.splice(i,0,e),this._layerOrderChanged=!0)}}else this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be moved.\")))},r.prototype.removeLayer=function(e){this._checkLoaded();var r=this._layers[e];if(r){r.setEventedParent(null);var n=this._order.indexOf(e);this._order.splice(n,1),this._layerOrderChanged=!0,this._changed=!0,this._removedLayers[e]=r,delete this._layers[e],delete this._serializedLayers[e],delete this._updatedLayers[e],delete this._updatedPaintProps[e],r.onRemove&&r.onRemove(this.map)}else this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be removed.\")))},r.prototype.getLayer=function(t){return this._layers[t]},r.prototype.hasLayer=function(t){return t in this._layers},r.prototype.setLayerZoomRange=function(e,r,n){this._checkLoaded();var i=this.getLayer(e);i?i.minzoom===r&&i.maxzoom===n||(null!=r&&(i.minzoom=r),null!=n&&(i.maxzoom=n),this._updateLayer(i)):this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot have zoom extent.\")))},r.prototype.setFilter=function(e,r,n){void 0===n&&(n={}),this._checkLoaded();var i=this.getLayer(e);if(i){if(!t.deepEqual(i.filter,r))return null==r?(i.filter=void 0,void this._updateLayer(i)):void(this._validate(t.validateStyle.filter,\"layers.\"+i.id+\".filter\",r,null,n)||(i.filter=t.clone$1(r),this._updateLayer(i)))}else this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be filtered.\")))},r.prototype.getFilter=function(e){return t.clone$1(this.getLayer(e).filter)},r.prototype.setLayoutProperty=function(e,r,n,i){void 0===i&&(i={}),this._checkLoaded();var a=this.getLayer(e);a?t.deepEqual(a.getLayoutProperty(r),n)||(a.setLayoutProperty(r,n,i),this._updateLayer(a)):this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be styled.\")))},r.prototype.getLayoutProperty=function(e,r){var n=this.getLayer(e);if(n)return n.getLayoutProperty(r);this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style.\")))},r.prototype.setPaintProperty=function(e,r,n,i){void 0===i&&(i={}),this._checkLoaded();var a=this.getLayer(e);a?t.deepEqual(a.getPaintProperty(r),n)||(a.setPaintProperty(r,n,i)&&this._updateLayer(a),this._changed=!0,this._updatedPaintProps[e]=!0):this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be styled.\")))},r.prototype.getPaintProperty=function(t,e){return this.getLayer(t).getPaintProperty(e)},r.prototype.setFeatureState=function(e,r){this._checkLoaded();var n=e.source,i=e.sourceLayer,a=this.sourceCaches[n];if(void 0!==a){var o=a.getSource().type;\"geojson\"===o&&i?this.fire(new t.ErrorEvent(new Error(\"GeoJSON sources cannot have a sourceLayer parameter.\"))):\"vector\"!==o||i?(void 0===e.id&&this.fire(new t.ErrorEvent(new Error(\"The feature id parameter must be provided.\"))),a.setFeatureState(i,e.id,r)):this.fire(new t.ErrorEvent(new Error(\"The sourceLayer parameter must be provided for vector source types.\")))}else this.fire(new t.ErrorEvent(new Error(\"The source '\"+n+\"' does not exist in the map's style.\")))},r.prototype.removeFeatureState=function(e,r){this._checkLoaded();var n=e.source,i=this.sourceCaches[n];if(void 0!==i){var a=i.getSource().type,o=\"vector\"===a?e.sourceLayer:void 0;\"vector\"!==a||o?r&&\"string\"!=typeof e.id&&\"number\"!=typeof e.id?this.fire(new t.ErrorEvent(new Error(\"A feature id is requred to remove its specific state property.\"))):i.removeFeatureState(o,e.id,r):this.fire(new t.ErrorEvent(new Error(\"The sourceLayer parameter must be provided for vector source types.\")))}else this.fire(new t.ErrorEvent(new Error(\"The source '\"+n+\"' does not exist in the map's style.\")))},r.prototype.getFeatureState=function(e){this._checkLoaded();var r=e.source,n=e.sourceLayer,i=this.sourceCaches[r];if(void 0!==i){if(\"vector\"!==i.getSource().type||n)return void 0===e.id&&this.fire(new t.ErrorEvent(new Error(\"The feature id parameter must be provided.\"))),i.getFeatureState(n,e.id);this.fire(new t.ErrorEvent(new Error(\"The sourceLayer parameter must be provided for vector source types.\")))}else this.fire(new t.ErrorEvent(new Error(\"The source '\"+r+\"' does not exist in the map's style.\")))},r.prototype.getTransition=function(){return t.extend({duration:300,delay:0},this.stylesheet&&this.stylesheet.transition)},r.prototype.serialize=function(){return t.filterObject({version:this.stylesheet.version,name:this.stylesheet.name,metadata:this.stylesheet.metadata,light:this.stylesheet.light,center:this.stylesheet.center,zoom:this.stylesheet.zoom,bearing:this.stylesheet.bearing,pitch:this.stylesheet.pitch,sprite:this.stylesheet.sprite,glyphs:this.stylesheet.glyphs,transition:this.stylesheet.transition,sources:t.mapObject(this.sourceCaches,(function(t){return t.serialize()})),layers:this._serializeLayers(this._order)},(function(t){return void 0!==t}))},r.prototype._updateLayer=function(t){this._updatedLayers[t.id]=!0,t.source&&!this._updatedSources[t.source]&&\"raster\"!==this.sourceCaches[t.source].getSource().type&&(this._updatedSources[t.source]=\"reload\",this.sourceCaches[t.source].pause()),this._changed=!0},r.prototype._flattenAndSortRenderedFeatures=function(t){for(var e=this,r=function(t){return\"fill-extrusion\"===e._layers[t].type},n={},i=[],a=this._order.length-1;a>=0;a--){var o=this._order[a];if(r(o)){n[o]=a;for(var s=0,l=t;s<l.length;s+=1){var u=l[s][o];if(u)for(var c=0,f=u;c<f.length;c+=1){var h=f[c];i.push(h)}}}}i.sort((function(t,e){return e.intersectionZ-t.intersectionZ}));for(var p=[],d=this._order.length-1;d>=0;d--){var v=this._order[d];if(r(v))for(var g=i.length-1;g>=0;g--){var y=i[g].feature;if(n[y.layer.id]<d)break;p.push(y),i.pop()}else for(var m=0,x=t;m<x.length;m+=1){var b=x[m][v];if(b)for(var _=0,w=b;_<w.length;_+=1){var T=w[_];p.push(T.feature)}}}return p},r.prototype.queryRenderedFeatures=function(e,r,n){r&&r.filter&&this._validate(t.validateStyle.filter,\"queryRenderedFeatures.filter\",r.filter,null,r);var i={};if(r&&r.layers){if(!Array.isArray(r.layers))return this.fire(new t.ErrorEvent(new Error(\"parameters.layers must be an Array.\"))),[];for(var a=0,o=r.layers;a<o.length;a+=1){var s=o[a],l=this._layers[s];if(!l)return this.fire(new t.ErrorEvent(new Error(\"The layer '\"+s+\"' does not exist in the map's style and cannot be queried for features.\"))),[];i[l.source]=!0}}var u=[];for(var c in r.availableImages=this._availableImages,this.sourceCaches)r.layers&&!i[c]||u.push(B(this.sourceCaches[c],this._layers,this._serializedLayers,e,r,n));return this.placement&&u.push(function(t,e,r,n,i,a,o){for(var s={},l=a.queryRenderedSymbols(n),u=[],c=0,f=Object.keys(l).map(Number);c<f.length;c+=1){var h=f[c];u.push(o[h])}u.sort(N);for(var p=function(){var r=v[d],n=r.featureIndex.lookupSymbolFeatures(l[r.bucketInstanceId],e,r.bucketIndex,r.sourceLayerIndex,i.filter,i.layers,i.availableImages,t);for(var a in n){var o=s[a]=s[a]||[],u=n[a];u.sort((function(t,e){var n=r.featureSortOrder;if(n){var i=n.indexOf(t.featureIndex);return n.indexOf(e.featureIndex)-i}return e.featureIndex-t.featureIndex}));for(var c=0,f=u;c<f.length;c+=1){var h=f[c];o.push(h)}}},d=0,v=u;d<v.length;d+=1)p();var g=function(e){s[e].forEach((function(n){var i=n.feature,a=t[e],o=r[a.source].getFeatureState(i.layer[\"source-layer\"],i.id);i.source=i.layer.source,i.layer[\"source-layer\"]&&(i.sourceLayer=i.layer[\"source-layer\"]),i.state=o}))};for(var y in s)g(y);return s}(this._layers,this._serializedLayers,this.sourceCaches,e,r,this.placement.collisionIndex,this.placement.retainedQueryData)),this._flattenAndSortRenderedFeatures(u)},r.prototype.querySourceFeatures=function(e,r){r&&r.filter&&this._validate(t.validateStyle.filter,\"querySourceFeatures.filter\",r.filter,null,r);var n=this.sourceCaches[e];return n?function(t,e){for(var r=t.getRenderableIds().map((function(e){return t.getTileByID(e)})),n=[],i={},a=0;a<r.length;a++){var o=r[a],s=o.tileID.canonical.key;i[s]||(i[s]=!0,o.querySourceFeatures(n,e))}return n}(n,r):[]},r.prototype.addSourceType=function(t,e,n){return r.getSourceType(t)?n(new Error('A source type called \"'+t+'\" already exists.')):(r.setSourceType(t,e),e.workerSourceURL?void this.dispatcher.broadcast(\"loadWorkerSource\",{name:t,url:e.workerSourceURL},n):n(null,null))},r.prototype.getLight=function(){return this.light.getLight()},r.prototype.setLight=function(e,r){void 0===r&&(r={}),this._checkLoaded();var n=this.light.getLight(),i=!1;for(var a in e)if(!t.deepEqual(e[a],n[a])){i=!0;break}if(i){var o={now:t.browser.now(),transition:t.extend({duration:300,delay:0},this.stylesheet.transition)};this.light.setLight(e,r),this.light.updateTransitions(o)}},r.prototype._validate=function(e,r,n,i,a){return void 0===a&&(a={}),(!a||!1!==a.validate)&&He(this,e.call(t.validateStyle,t.extend({key:r,style:this.serialize(),value:n,styleSpec:t.styleSpec},i)))},r.prototype._remove=function(){for(var e in this._request&&(this._request.cancel(),this._request=null),this._spriteRequest&&(this._spriteRequest.cancel(),this._spriteRequest=null),t.evented.off(\"pluginStateChange\",this._rtlTextPluginCallback),this._layers)this._layers[e].setEventedParent(null);for(var r in this.sourceCaches)this.sourceCaches[r].clearTiles(),this.sourceCaches[r].setEventedParent(null);this.imageManager.setEventedParent(null),this.setEventedParent(null),this.dispatcher.remove()},r.prototype._clearSource=function(t){this.sourceCaches[t].clearTiles()},r.prototype._reloadSource=function(t){this.sourceCaches[t].resume(),this.sourceCaches[t].reload()},r.prototype._updateSources=function(t){for(var e in this.sourceCaches)this.sourceCaches[e].update(t)},r.prototype._generateCollisionBoxes=function(){for(var t in this.sourceCaches)this._reloadSource(t)},r.prototype._updatePlacement=function(e,r,n,i,a){void 0===a&&(a=!1);for(var o=!1,s=!1,l={},u=0,c=this._order;u<c.length;u+=1){var f=c[u],h=this._layers[f];if(\"symbol\"===h.type){if(!l[h.source]){var p=this.sourceCaches[h.source];l[h.source]=p.getRenderableIds(!0).map((function(t){return p.getTileByID(t)})).sort((function(t,e){return e.tileID.overscaledZ-t.tileID.overscaledZ||(t.tileID.isLessThan(e.tileID)?-1:1)}))}var d=this.crossTileSymbolIndex.addLayer(h,l[h.source],e.center.lng);o=o||d}}if(this.crossTileSymbolIndex.pruneUnusedLayers(this._order),((a=a||this._layerOrderChanged||0===n)||!this.pauseablePlacement||this.pauseablePlacement.isDone()&&!this.placement.stillRecent(t.browser.now(),e.zoom))&&(this.pauseablePlacement=new Fe(e,this._order,a,r,n,i,this.placement),this._layerOrderChanged=!1),this.pauseablePlacement.isDone()?this.placement.setStale():(this.pauseablePlacement.continuePlacement(this._order,this._layers,l),this.pauseablePlacement.isDone()&&(this.placement=this.pauseablePlacement.commit(t.browser.now()),s=!0),o&&this.pauseablePlacement.placement.setStale()),s||o)for(var v=0,g=this._order;v<g.length;v+=1){var y=g[v],m=this._layers[y];\"symbol\"===m.type&&this.placement.updateLayerOpacities(m,l[m.source])}return!this.pauseablePlacement.isDone()||this.placement.hasTransitions(t.browser.now())},r.prototype._releaseSymbolFadeTiles=function(){for(var t in this.sourceCaches)this.sourceCaches[t].releaseSymbolFadeTiles()},r.prototype.getImages=function(t,e,r){this.imageManager.getImages(e.icons,r),this._updateTilesForChangedImages();var n=this.sourceCaches[e.source];n&&n.setDependencies(e.tileID.key,e.type,e.icons)},r.prototype.getGlyphs=function(t,e,r){this.glyphManager.getGlyphs(e.stacks,r)},r.prototype.getResource=function(e,r,n){return t.makeRequest(r,n)},r}(t.Evented);Ye.getSourceType=function(t){return R[t]},Ye.setSourceType=function(t,e){R[t]=e},Ye.registerForPluginStateChange=t.registerForPluginStateChange;var We=t.createLayout([{name:\"a_pos\",type:\"Int16\",components:2}]),Xe=_r(\"#ifdef GL_ES\\nprecision mediump float;\\n#else\\n#if !defined(lowp)\\n#define lowp\\n#endif\\n#if !defined(mediump)\\n#define mediump\\n#endif\\n#if !defined(highp)\\n#define highp\\n#endif\\n#endif\",\"#ifdef GL_ES\\nprecision highp float;\\n#else\\n#if !defined(lowp)\\n#define lowp\\n#endif\\n#if !defined(mediump)\\n#define mediump\\n#endif\\n#if !defined(highp)\\n#define highp\\n#endif\\n#endif\\nvec2 unpack_float(const float packedValue) {int packedIntValue=int(packedValue);int v0=packedIntValue/256;return vec2(v0,packedIntValue-v0*256);}vec2 unpack_opacity(const float packedOpacity) {int intOpacity=int(packedOpacity)/2;return vec2(float(intOpacity)/127.0,mod(packedOpacity,2.0));}vec4 decode_color(const vec2 encodedColor) {return vec4(unpack_float(encodedColor[0])/255.0,unpack_float(encodedColor[1])/255.0\\n);}float unpack_mix_vec2(const vec2 packedValue,const float t) {return mix(packedValue[0],packedValue[1],t);}vec4 unpack_mix_color(const vec4 packedColors,const float t) {vec4 minColor=decode_color(vec2(packedColors[0],packedColors[1]));vec4 maxColor=decode_color(vec2(packedColors[2],packedColors[3]));return mix(minColor,maxColor,t);}vec2 get_pattern_pos(const vec2 pixel_coord_upper,const vec2 pixel_coord_lower,const vec2 pattern_size,const float tile_units_to_pixels,const vec2 pos) {vec2 offset=mod(mod(mod(pixel_coord_upper,pattern_size)*256.0,pattern_size)*256.0+pixel_coord_lower,pattern_size);return (tile_units_to_pixels*pos+offset)/pattern_size;}\"),Je=_r(\"uniform vec4 u_color;uniform float u_opacity;void main() {gl_FragColor=u_color*u_opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"attribute vec2 a_pos;uniform mat4 u_matrix;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);}\"),Ke=_r(\"uniform vec2 u_pattern_tl_a;uniform vec2 u_pattern_br_a;uniform vec2 u_pattern_tl_b;uniform vec2 u_pattern_br_b;uniform vec2 u_texsize;uniform float u_mix;uniform float u_opacity;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;void main() {vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(u_pattern_tl_a/u_texsize,u_pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(u_pattern_tl_b/u_texsize,u_pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);gl_FragColor=mix(color1,color2,u_mix)*u_opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_pattern_size_a;uniform vec2 u_pattern_size_b;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform float u_scale_a;uniform float u_scale_b;uniform float u_tile_units_to_pixels;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,u_scale_a*u_pattern_size_a,u_tile_units_to_pixels,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,u_scale_b*u_pattern_size_b,u_tile_units_to_pixels,a_pos);}\"),$e=_r(\"varying vec3 v_data;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define mediump float radius\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define highp vec4 stroke_color\\n#pragma mapbox: define mediump float stroke_width\\n#pragma mapbox: define lowp float stroke_opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize mediump float radius\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize highp vec4 stroke_color\\n#pragma mapbox: initialize mediump float stroke_width\\n#pragma mapbox: initialize lowp float stroke_opacity\\nvec2 extrude=v_data.xy;float extrude_length=length(extrude);lowp float antialiasblur=v_data.z;float antialiased_blur=-max(blur,antialiasblur);float opacity_t=smoothstep(0.0,antialiased_blur,extrude_length-1.0);float color_t=stroke_width < 0.01 ? 0.0 : smoothstep(antialiased_blur,0.0,extrude_length-radius/(radius+stroke_width));gl_FragColor=opacity_t*mix(color*opacity,stroke_color*stroke_opacity,color_t);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform bool u_scale_with_map;uniform bool u_pitch_with_map;uniform vec2 u_extrude_scale;uniform lowp float u_device_pixel_ratio;uniform highp float u_camera_to_center_distance;attribute vec2 a_pos;varying vec3 v_data;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define mediump float radius\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define highp vec4 stroke_color\\n#pragma mapbox: define mediump float stroke_width\\n#pragma mapbox: define lowp float stroke_opacity\\nvoid main(void) {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize mediump float radius\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize highp vec4 stroke_color\\n#pragma mapbox: initialize mediump float stroke_width\\n#pragma mapbox: initialize lowp float stroke_opacity\\nvec2 extrude=vec2(mod(a_pos,2.0)*2.0-1.0);vec2 circle_center=floor(a_pos*0.5);if (u_pitch_with_map) {vec2 corner_position=circle_center;if (u_scale_with_map) {corner_position+=extrude*(radius+stroke_width)*u_extrude_scale;} else {vec4 projected_center=u_matrix*vec4(circle_center,0,1);corner_position+=extrude*(radius+stroke_width)*u_extrude_scale*(projected_center.w/u_camera_to_center_distance);}gl_Position=u_matrix*vec4(corner_position,0,1);} else {gl_Position=u_matrix*vec4(circle_center,0,1);if (u_scale_with_map) {gl_Position.xy+=extrude*(radius+stroke_width)*u_extrude_scale*u_camera_to_center_distance;} else {gl_Position.xy+=extrude*(radius+stroke_width)*u_extrude_scale*gl_Position.w;}}lowp float antialiasblur=1.0/u_device_pixel_ratio/(radius+stroke_width);v_data=vec3(extrude.x,extrude.y,antialiasblur);}\"),Qe=_r(\"void main() {gl_FragColor=vec4(1.0);}\",\"attribute vec2 a_pos;uniform mat4 u_matrix;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);}\"),tr=_r(\"uniform highp float u_intensity;varying vec2 v_extrude;\\n#pragma mapbox: define highp float weight\\n#define GAUSS_COEF 0.3989422804014327\\nvoid main() {\\n#pragma mapbox: initialize highp float weight\\nfloat d=-0.5*3.0*3.0*dot(v_extrude,v_extrude);float val=weight*u_intensity*GAUSS_COEF*exp(d);gl_FragColor=vec4(val,1.0,1.0,1.0);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform float u_extrude_scale;uniform float u_opacity;uniform float u_intensity;attribute vec2 a_pos;varying vec2 v_extrude;\\n#pragma mapbox: define highp float weight\\n#pragma mapbox: define mediump float radius\\nconst highp float ZERO=1.0/255.0/16.0;\\n#define GAUSS_COEF 0.3989422804014327\\nvoid main(void) {\\n#pragma mapbox: initialize highp float weight\\n#pragma mapbox: initialize mediump float radius\\nvec2 unscaled_extrude=vec2(mod(a_pos,2.0)*2.0-1.0);float S=sqrt(-2.0*log(ZERO/weight/u_intensity/GAUSS_COEF))/3.0;v_extrude=S*unscaled_extrude;vec2 extrude=v_extrude*radius*u_extrude_scale;vec4 pos=vec4(floor(a_pos*0.5)+extrude,0,1);gl_Position=u_matrix*pos;}\"),er=_r(\"uniform sampler2D u_image;uniform sampler2D u_color_ramp;uniform float u_opacity;varying vec2 v_pos;void main() {float t=texture2D(u_image,v_pos).r;vec4 color=texture2D(u_color_ramp,vec2(t,0.5));gl_FragColor=color*u_opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(0.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_world;attribute vec2 a_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos*u_world,0,1);v_pos.x=a_pos.x;v_pos.y=1.0-a_pos.y;}\"),rr=_r(\"varying float v_placed;varying float v_notUsed;void main() {float alpha=0.5;gl_FragColor=vec4(1.0,0.0,0.0,1.0)*alpha;if (v_placed > 0.5) {gl_FragColor=vec4(0.0,0.0,1.0,0.5)*alpha;}if (v_notUsed > 0.5) {gl_FragColor*=.1;}}\",\"attribute vec2 a_pos;attribute vec2 a_anchor_pos;attribute vec2 a_extrude;attribute vec2 a_placed;attribute vec2 a_shift;uniform mat4 u_matrix;uniform vec2 u_extrude_scale;uniform float u_camera_to_center_distance;varying float v_placed;varying float v_notUsed;void main() {vec4 projectedPoint=u_matrix*vec4(a_anchor_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float collision_perspective_ratio=clamp(0.5+0.5*(u_camera_to_center_distance/camera_to_anchor_distance),0.0,4.0);gl_Position=u_matrix*vec4(a_pos,0.0,1.0);gl_Position.xy+=(a_extrude+a_shift)*u_extrude_scale*gl_Position.w*collision_perspective_ratio;v_placed=a_placed.x;v_notUsed=a_placed.y;}\"),nr=_r(\"varying float v_radius;varying vec2 v_extrude;varying float v_perspective_ratio;varying float v_collision;void main() {float alpha=0.5*min(v_perspective_ratio,1.0);float stroke_radius=0.9*max(v_perspective_ratio,1.0);float distance_to_center=length(v_extrude);float distance_to_edge=abs(distance_to_center-v_radius);float opacity_t=smoothstep(-stroke_radius,0.0,-distance_to_edge);vec4 color=mix(vec4(0.0,0.0,1.0,0.5),vec4(1.0,0.0,0.0,1.0),v_collision);gl_FragColor=color*alpha*opacity_t;}\",\"attribute vec2 a_pos;attribute float a_radius;attribute vec2 a_flags;uniform mat4 u_matrix;uniform mat4 u_inv_matrix;uniform vec2 u_viewport_size;uniform float u_camera_to_center_distance;varying float v_radius;varying vec2 v_extrude;varying float v_perspective_ratio;varying float v_collision;vec3 toTilePosition(vec2 screenPos) {vec4 rayStart=u_inv_matrix*vec4(screenPos,-1.0,1.0);vec4 rayEnd  =u_inv_matrix*vec4(screenPos, 1.0,1.0);rayStart.xyz/=rayStart.w;rayEnd.xyz  /=rayEnd.w;highp float t=(0.0-rayStart.z)/(rayEnd.z-rayStart.z);return mix(rayStart.xyz,rayEnd.xyz,t);}void main() {vec2 quadCenterPos=a_pos;float radius=a_radius;float collision=a_flags.x;float vertexIdx=a_flags.y;vec2 quadVertexOffset=vec2(mix(-1.0,1.0,float(vertexIdx >=2.0)),mix(-1.0,1.0,float(vertexIdx >=1.0 && vertexIdx <=2.0)));vec2 quadVertexExtent=quadVertexOffset*radius;vec3 tilePos=toTilePosition(quadCenterPos);vec4 clipPos=u_matrix*vec4(tilePos,1.0);highp float camera_to_anchor_distance=clipPos.w;highp float collision_perspective_ratio=clamp(0.5+0.5*(u_camera_to_center_distance/camera_to_anchor_distance),0.0,4.0);float padding_factor=1.2;v_radius=radius;v_extrude=quadVertexExtent*padding_factor;v_perspective_ratio=collision_perspective_ratio;v_collision=collision;gl_Position=vec4(clipPos.xyz/clipPos.w,1.0)+vec4(quadVertexExtent*padding_factor/u_viewport_size*2.0,0.0,0.0);}\"),ir=_r(\"uniform highp vec4 u_color;uniform sampler2D u_overlay;varying vec2 v_uv;void main() {vec4 overlay_color=texture2D(u_overlay,v_uv);gl_FragColor=mix(u_color,overlay_color,overlay_color.a);}\",\"attribute vec2 a_pos;varying vec2 v_uv;uniform mat4 u_matrix;uniform float u_overlay_scale;void main() {v_uv=a_pos/8192.0;gl_Position=u_matrix*vec4(a_pos*u_overlay_scale,0,1);}\"),ar=_r(\"#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float opacity\\ngl_FragColor=color*opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"attribute vec2 a_pos;uniform mat4 u_matrix;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float opacity\\ngl_Position=u_matrix*vec4(a_pos,0,1);}\"),or=_r(\"varying vec2 v_pos;\\n#pragma mapbox: define highp vec4 outline_color\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 outline_color\\n#pragma mapbox: initialize lowp float opacity\\nfloat dist=length(v_pos-gl_FragCoord.xy);float alpha=1.0-smoothstep(0.0,1.0,dist);gl_FragColor=outline_color*(alpha*opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"attribute vec2 a_pos;uniform mat4 u_matrix;uniform vec2 u_world;varying vec2 v_pos;\\n#pragma mapbox: define highp vec4 outline_color\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 outline_color\\n#pragma mapbox: initialize lowp float opacity\\ngl_Position=u_matrix*vec4(a_pos,0,1);v_pos=(gl_Position.xy/gl_Position.w+1.0)/2.0*u_world;}\"),sr=_r(\"uniform vec2 u_texsize;uniform sampler2D u_image;uniform float u_fade;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec2 v_pos;\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);float dist=length(v_pos-gl_FragCoord.xy);float alpha=1.0-smoothstep(0.0,1.0,dist);gl_FragColor=mix(color1,color2,u_fade)*alpha*opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_world;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform vec3 u_scale;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec2 v_pos;\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;gl_Position=u_matrix*vec4(a_pos,0,1);vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileRatio,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileRatio,a_pos);v_pos=(gl_Position.xy/gl_Position.w+1.0)/2.0*u_world;}\"),lr=_r(\"uniform vec2 u_texsize;uniform float u_fade;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);gl_FragColor=mix(color1,color2,u_fade)*opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform vec3 u_scale;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileZoomRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;gl_Position=u_matrix*vec4(a_pos,0,1);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileZoomRatio,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileZoomRatio,a_pos);}\"),ur=_r(\"varying vec4 v_color;void main() {gl_FragColor=v_color;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec3 u_lightcolor;uniform lowp vec3 u_lightpos;uniform lowp float u_lightintensity;uniform float u_vertical_gradient;uniform lowp float u_opacity;attribute vec2 a_pos;attribute vec4 a_normal_ed;varying vec4 v_color;\\n#pragma mapbox: define highp float base\\n#pragma mapbox: define highp float height\\n#pragma mapbox: define highp vec4 color\\nvoid main() {\\n#pragma mapbox: initialize highp float base\\n#pragma mapbox: initialize highp float height\\n#pragma mapbox: initialize highp vec4 color\\nvec3 normal=a_normal_ed.xyz;base=max(0.0,base);height=max(0.0,height);float t=mod(normal.x,2.0);gl_Position=u_matrix*vec4(a_pos,t > 0.0 ? height : base,1);float colorvalue=color.r*0.2126+color.g*0.7152+color.b*0.0722;v_color=vec4(0.0,0.0,0.0,1.0);vec4 ambientlight=vec4(0.03,0.03,0.03,1.0);color+=ambientlight;float directional=clamp(dot(normal/16384.0,u_lightpos),0.0,1.0);directional=mix((1.0-u_lightintensity),max((1.0-colorvalue+u_lightintensity),1.0),directional);if (normal.y !=0.0) {directional*=((1.0-u_vertical_gradient)+(u_vertical_gradient*clamp((t+base)*pow(height/150.0,0.5),mix(0.7,0.98,1.0-u_lightintensity),1.0)));}v_color.r+=clamp(color.r*directional*u_lightcolor.r,mix(0.0,0.3,1.0-u_lightcolor.r),1.0);v_color.g+=clamp(color.g*directional*u_lightcolor.g,mix(0.0,0.3,1.0-u_lightcolor.g),1.0);v_color.b+=clamp(color.b*directional*u_lightcolor.b,mix(0.0,0.3,1.0-u_lightcolor.b),1.0);v_color*=u_opacity;}\"),cr=_r(\"uniform vec2 u_texsize;uniform float u_fade;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec4 v_lighting;\\n#pragma mapbox: define lowp float base\\n#pragma mapbox: define lowp float height\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float base\\n#pragma mapbox: initialize lowp float height\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);vec4 mixedColor=mix(color1,color2,u_fade);gl_FragColor=mixedColor*v_lighting;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform float u_height_factor;uniform vec3 u_scale;uniform float u_vertical_gradient;uniform lowp float u_opacity;uniform vec3 u_lightcolor;uniform lowp vec3 u_lightpos;uniform lowp float u_lightintensity;attribute vec2 a_pos;attribute vec4 a_normal_ed;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec4 v_lighting;\\n#pragma mapbox: define lowp float base\\n#pragma mapbox: define lowp float height\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float base\\n#pragma mapbox: initialize lowp float height\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec3 normal=a_normal_ed.xyz;float edgedistance=a_normal_ed.w;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;base=max(0.0,base);height=max(0.0,height);float t=mod(normal.x,2.0);float z=t > 0.0 ? height : base;gl_Position=u_matrix*vec4(a_pos,z,1);vec2 pos=normal.x==1.0 && normal.y==0.0 && normal.z==16384.0\\n? a_pos\\n: vec2(edgedistance,z*u_height_factor);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileRatio,pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileRatio,pos);v_lighting=vec4(0.0,0.0,0.0,1.0);float directional=clamp(dot(normal/16383.0,u_lightpos),0.0,1.0);directional=mix((1.0-u_lightintensity),max((0.5+u_lightintensity),1.0),directional);if (normal.y !=0.0) {directional*=((1.0-u_vertical_gradient)+(u_vertical_gradient*clamp((t+base)*pow(height/150.0,0.5),mix(0.7,0.98,1.0-u_lightintensity),1.0)));}v_lighting.rgb+=clamp(directional*u_lightcolor,mix(vec3(0.0),vec3(0.3),1.0-u_lightcolor),vec3(1.0));v_lighting*=u_opacity;}\"),fr=_r(\"#ifdef GL_ES\\nprecision highp float;\\n#endif\\nuniform sampler2D u_image;varying vec2 v_pos;uniform vec2 u_dimension;uniform float u_zoom;uniform float u_maxzoom;uniform vec4 u_unpack;float getElevation(vec2 coord,float bias) {vec4 data=texture2D(u_image,coord)*255.0;data.a=-1.0;return dot(data,u_unpack)/4.0;}void main() {vec2 epsilon=1.0/u_dimension;float a=getElevation(v_pos+vec2(-epsilon.x,-epsilon.y),0.0);float b=getElevation(v_pos+vec2(0,-epsilon.y),0.0);float c=getElevation(v_pos+vec2(epsilon.x,-epsilon.y),0.0);float d=getElevation(v_pos+vec2(-epsilon.x,0),0.0);float e=getElevation(v_pos,0.0);float f=getElevation(v_pos+vec2(epsilon.x,0),0.0);float g=getElevation(v_pos+vec2(-epsilon.x,epsilon.y),0.0);float h=getElevation(v_pos+vec2(0,epsilon.y),0.0);float i=getElevation(v_pos+vec2(epsilon.x,epsilon.y),0.0);float exaggeration=u_zoom < 2.0 ? 0.4 : u_zoom < 4.5 ? 0.35 : 0.3;vec2 deriv=vec2((c+f+f+i)-(a+d+d+g),(g+h+h+i)-(a+b+b+c))/ pow(2.0,(u_zoom-u_maxzoom)*exaggeration+19.2562-u_zoom);gl_FragColor=clamp(vec4(deriv.x/2.0+0.5,deriv.y/2.0+0.5,1.0,1.0),0.0,1.0);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_dimension;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);highp vec2 epsilon=1.0/u_dimension;float scale=(u_dimension.x-2.0)/u_dimension.x;v_pos=(a_texture_pos/8192.0)*scale+epsilon;}\"),hr=_r(\"uniform sampler2D u_image;varying vec2 v_pos;uniform vec2 u_latrange;uniform vec2 u_light;uniform vec4 u_shadow;uniform vec4 u_highlight;uniform vec4 u_accent;\\n#define PI 3.141592653589793\\nvoid main() {vec4 pixel=texture2D(u_image,v_pos);vec2 deriv=((pixel.rg*2.0)-1.0);float scaleFactor=cos(radians((u_latrange[0]-u_latrange[1])*(1.0-v_pos.y)+u_latrange[1]));float slope=atan(1.25*length(deriv)/scaleFactor);float aspect=deriv.x !=0.0 ? atan(deriv.y,-deriv.x) : PI/2.0*(deriv.y > 0.0 ? 1.0 :-1.0);float intensity=u_light.x;float azimuth=u_light.y+PI;float base=1.875-intensity*1.75;float maxValue=0.5*PI;float scaledSlope=intensity !=0.5 ? ((pow(base,slope)-1.0)/(pow(base,maxValue)-1.0))*maxValue : slope;float accent=cos(scaledSlope);vec4 accent_color=(1.0-accent)*u_accent*clamp(intensity*2.0,0.0,1.0);float shade=abs(mod((aspect+azimuth)/PI+0.5,2.0)-1.0);vec4 shade_color=mix(u_shadow,u_highlight,shade)*sin(scaledSlope)*clamp(intensity*2.0,0.0,1.0);gl_FragColor=accent_color*(1.0-shade_color.a)+shade_color;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos=a_texture_pos/8192.0;}\"),pr=_r(\"uniform lowp float u_device_pixel_ratio;varying vec2 v_width2;varying vec2 v_normal;varying float v_gamma_scale;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\nfloat dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);gl_FragColor=color*(alpha*opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"\\n#define scale 0.015873016\\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform vec2 u_units_to_pixels;uniform lowp float u_device_pixel_ratio;varying vec2 v_normal;varying vec2 v_width2;varying float v_gamma_scale;varying highp float v_linesofar;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define mediump float gapwidth\\n#pragma mapbox: define lowp float offset\\n#pragma mapbox: define mediump float width\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump float gapwidth\\n#pragma mapbox: initialize lowp float offset\\n#pragma mapbox: initialize mediump float width\\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;v_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*2.0;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_width2=vec2(outset,inset);}\"),dr=_r(\"uniform lowp float u_device_pixel_ratio;uniform sampler2D u_image;varying vec2 v_width2;varying vec2 v_normal;varying float v_gamma_scale;varying highp float v_lineprogress;\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\nfloat dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);vec4 color=texture2D(u_image,vec2(v_lineprogress,0.5));gl_FragColor=color*(alpha*opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"\\n#define MAX_LINE_DISTANCE 32767.0\\n#define scale 0.015873016\\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;uniform vec2 u_units_to_pixels;varying vec2 v_normal;varying vec2 v_width2;varying float v_gamma_scale;varying highp float v_lineprogress;\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define mediump float gapwidth\\n#pragma mapbox: define lowp float offset\\n#pragma mapbox: define mediump float width\\nvoid main() {\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump float gapwidth\\n#pragma mapbox: initialize lowp float offset\\n#pragma mapbox: initialize mediump float width\\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;v_lineprogress=(floor(a_data.z/4.0)+a_data.w*64.0)*2.0/MAX_LINE_DISTANCE;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_width2=vec2(outset,inset);}\"),vr=_r(\"uniform lowp float u_device_pixel_ratio;uniform vec2 u_texsize;uniform float u_fade;uniform mediump vec3 u_scale;uniform sampler2D u_image;varying vec2 v_normal;varying vec2 v_width2;varying float v_linesofar;varying float v_gamma_scale;varying float v_width;\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileZoomRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;vec2 pattern_size_a=vec2(display_size_a.x*fromScale/tileZoomRatio,display_size_a.y);vec2 pattern_size_b=vec2(display_size_b.x*toScale/tileZoomRatio,display_size_b.y);float aspect_a=display_size_a.y/v_width;float aspect_b=display_size_b.y/v_width;float dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);float x_a=mod(v_linesofar/pattern_size_a.x*aspect_a,1.0);float x_b=mod(v_linesofar/pattern_size_b.x*aspect_b,1.0);float y=0.5*v_normal.y+0.5;vec2 texel_size=1.0/u_texsize;vec2 pos_a=mix(pattern_tl_a*texel_size-texel_size,pattern_br_a*texel_size+texel_size,vec2(x_a,y));vec2 pos_b=mix(pattern_tl_b*texel_size-texel_size,pattern_br_b*texel_size+texel_size,vec2(x_b,y));vec4 color=mix(texture2D(u_image,pos_a),texture2D(u_image,pos_b),u_fade);gl_FragColor=color*alpha*opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"\\n#define scale 0.015873016\\n#define LINE_DISTANCE_SCALE 2.0\\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform vec2 u_units_to_pixels;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;varying vec2 v_normal;varying vec2 v_width2;varying float v_linesofar;varying float v_gamma_scale;varying float v_width;\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float offset\\n#pragma mapbox: define mediump float gapwidth\\n#pragma mapbox: define mediump float width\\n#pragma mapbox: define lowp float floorwidth\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float offset\\n#pragma mapbox: initialize mediump float gapwidth\\n#pragma mapbox: initialize mediump float width\\n#pragma mapbox: initialize lowp float floorwidth\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;float a_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*LINE_DISTANCE_SCALE;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_linesofar=a_linesofar;v_width2=vec2(outset,inset);v_width=floorwidth;}\"),gr=_r(\"uniform lowp float u_device_pixel_ratio;uniform sampler2D u_image;uniform float u_sdfgamma;uniform float u_mix;varying vec2 v_normal;varying vec2 v_width2;varying vec2 v_tex_a;varying vec2 v_tex_b;varying float v_gamma_scale;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define mediump float width\\n#pragma mapbox: define lowp float floorwidth\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump float width\\n#pragma mapbox: initialize lowp float floorwidth\\nfloat dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);float sdfdist_a=texture2D(u_image,v_tex_a).a;float sdfdist_b=texture2D(u_image,v_tex_b).a;float sdfdist=mix(sdfdist_a,sdfdist_b,u_mix);alpha*=smoothstep(0.5-u_sdfgamma/floorwidth,0.5+u_sdfgamma/floorwidth,sdfdist);gl_FragColor=color*(alpha*opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"\\n#define scale 0.015873016\\n#define LINE_DISTANCE_SCALE 2.0\\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;uniform vec2 u_patternscale_a;uniform float u_tex_y_a;uniform vec2 u_patternscale_b;uniform float u_tex_y_b;uniform vec2 u_units_to_pixels;varying vec2 v_normal;varying vec2 v_width2;varying vec2 v_tex_a;varying vec2 v_tex_b;varying float v_gamma_scale;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define mediump float gapwidth\\n#pragma mapbox: define lowp float offset\\n#pragma mapbox: define mediump float width\\n#pragma mapbox: define lowp float floorwidth\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump float gapwidth\\n#pragma mapbox: initialize lowp float offset\\n#pragma mapbox: initialize mediump float width\\n#pragma mapbox: initialize lowp float floorwidth\\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;float a_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*LINE_DISTANCE_SCALE;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_tex_a=vec2(a_linesofar*u_patternscale_a.x/floorwidth,normal.y*u_patternscale_a.y+u_tex_y_a);v_tex_b=vec2(a_linesofar*u_patternscale_b.x/floorwidth,normal.y*u_patternscale_b.y+u_tex_y_b);v_width2=vec2(outset,inset);}\"),yr=_r(\"uniform float u_fade_t;uniform float u_opacity;uniform sampler2D u_image0;uniform sampler2D u_image1;varying vec2 v_pos0;varying vec2 v_pos1;uniform float u_brightness_low;uniform float u_brightness_high;uniform float u_saturation_factor;uniform float u_contrast_factor;uniform vec3 u_spin_weights;void main() {vec4 color0=texture2D(u_image0,v_pos0);vec4 color1=texture2D(u_image1,v_pos1);if (color0.a > 0.0) {color0.rgb=color0.rgb/color0.a;}if (color1.a > 0.0) {color1.rgb=color1.rgb/color1.a;}vec4 color=mix(color0,color1,u_fade_t);color.a*=u_opacity;vec3 rgb=color.rgb;rgb=vec3(dot(rgb,u_spin_weights.xyz),dot(rgb,u_spin_weights.zxy),dot(rgb,u_spin_weights.yzx));float average=(color.r+color.g+color.b)/3.0;rgb+=(average-rgb)*u_saturation_factor;rgb=(rgb-0.5)*u_contrast_factor+0.5;vec3 u_high_vec=vec3(u_brightness_low,u_brightness_low,u_brightness_low);vec3 u_low_vec=vec3(u_brightness_high,u_brightness_high,u_brightness_high);gl_FragColor=vec4(mix(u_high_vec,u_low_vec,rgb)*color.a,color.a);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_tl_parent;uniform float u_scale_parent;uniform float u_buffer_scale;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos0;varying vec2 v_pos1;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos0=(((a_texture_pos/8192.0)-0.5)/u_buffer_scale )+0.5;v_pos1=(v_pos0*u_scale_parent)+u_tl_parent;}\"),mr=_r(\"uniform sampler2D u_texture;varying vec2 v_tex;varying float v_fade_opacity;\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\nlowp float alpha=opacity*v_fade_opacity;gl_FragColor=texture2D(u_texture,v_tex)*alpha;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"const float PI=3.141592653589793;attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec4 a_pixeloffset;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform highp float u_camera_to_center_distance;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform float u_fade_change;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform vec2 u_texsize;varying vec2 v_tex;varying float v_fade_opacity;\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\nvec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);vec2 a_pxoffset=a_pixeloffset.xy;vec2 a_minFontScale=a_pixeloffset.zw/256.0;highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec4 projectedPoint=u_matrix*vec4(a_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\\ncamera_to_anchor_distance/u_camera_to_center_distance :\\nu_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=u_is_text ? size/24.0 : size;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=u_matrix*vec4(a_pos+vec2(1,0),0,1);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy,0.0,1.0);gl_Position=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*max(a_minFontScale,fontScale)+a_pxoffset/16.0),0.0,1.0);v_tex=a_tex/u_texsize;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;v_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));}\"),xr=_r(\"#define SDF_PX 8.0\\nuniform bool u_is_halo;uniform sampler2D u_texture;uniform highp float u_gamma_scale;uniform lowp float u_device_pixel_ratio;uniform bool u_is_text;varying vec2 v_data0;varying vec3 v_data1;\\n#pragma mapbox: define highp vec4 fill_color\\n#pragma mapbox: define highp vec4 halo_color\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float halo_width\\n#pragma mapbox: define lowp float halo_blur\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 fill_color\\n#pragma mapbox: initialize highp vec4 halo_color\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float halo_width\\n#pragma mapbox: initialize lowp float halo_blur\\nfloat EDGE_GAMMA=0.105/u_device_pixel_ratio;vec2 tex=v_data0.xy;float gamma_scale=v_data1.x;float size=v_data1.y;float fade_opacity=v_data1[2];float fontScale=u_is_text ? size/24.0 : size;lowp vec4 color=fill_color;highp float gamma=EDGE_GAMMA/(fontScale*u_gamma_scale);lowp float buff=(256.0-64.0)/256.0;if (u_is_halo) {color=halo_color;gamma=(halo_blur*1.19/SDF_PX+EDGE_GAMMA)/(fontScale*u_gamma_scale);buff=(6.0-halo_width/fontScale)/SDF_PX;}lowp float dist=texture2D(u_texture,tex).a;highp float gamma_scaled=gamma*gamma_scale;highp float alpha=smoothstep(buff-gamma_scaled,buff+gamma_scaled,dist);gl_FragColor=color*(alpha*opacity*fade_opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"const float PI=3.141592653589793;attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec4 a_pixeloffset;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform highp float u_camera_to_center_distance;uniform float u_fade_change;uniform vec2 u_texsize;varying vec2 v_data0;varying vec3 v_data1;\\n#pragma mapbox: define highp vec4 fill_color\\n#pragma mapbox: define highp vec4 halo_color\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float halo_width\\n#pragma mapbox: define lowp float halo_blur\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 fill_color\\n#pragma mapbox: initialize highp vec4 halo_color\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float halo_width\\n#pragma mapbox: initialize lowp float halo_blur\\nvec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);vec2 a_pxoffset=a_pixeloffset.xy;highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec4 projectedPoint=u_matrix*vec4(a_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\\ncamera_to_anchor_distance/u_camera_to_center_distance :\\nu_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=u_is_text ? size/24.0 : size;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=u_matrix*vec4(a_pos+vec2(1,0),0,1);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy,0.0,1.0);gl_Position=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*fontScale+a_pxoffset),0.0,1.0);float gamma_scale=gl_Position.w;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;float interpolated_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));v_data0=a_tex/u_texsize;v_data1=vec3(gamma_scale,size,interpolated_fade_opacity);}\"),br=_r(\"#define SDF_PX 8.0\\n#define SDF 1.0\\n#define ICON 0.0\\nuniform bool u_is_halo;uniform sampler2D u_texture;uniform sampler2D u_texture_icon;uniform highp float u_gamma_scale;uniform lowp float u_device_pixel_ratio;varying vec4 v_data0;varying vec4 v_data1;\\n#pragma mapbox: define highp vec4 fill_color\\n#pragma mapbox: define highp vec4 halo_color\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float halo_width\\n#pragma mapbox: define lowp float halo_blur\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 fill_color\\n#pragma mapbox: initialize highp vec4 halo_color\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float halo_width\\n#pragma mapbox: initialize lowp float halo_blur\\nfloat fade_opacity=v_data1[2];if (v_data1.w==ICON) {vec2 tex_icon=v_data0.zw;lowp float alpha=opacity*fade_opacity;gl_FragColor=texture2D(u_texture_icon,tex_icon)*alpha;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\nreturn;}vec2 tex=v_data0.xy;float EDGE_GAMMA=0.105/u_device_pixel_ratio;float gamma_scale=v_data1.x;float size=v_data1.y;float fontScale=size/24.0;lowp vec4 color=fill_color;highp float gamma=EDGE_GAMMA/(fontScale*u_gamma_scale);lowp float buff=(256.0-64.0)/256.0;if (u_is_halo) {color=halo_color;gamma=(halo_blur*1.19/SDF_PX+EDGE_GAMMA)/(fontScale*u_gamma_scale);buff=(6.0-halo_width/fontScale)/SDF_PX;}lowp float dist=texture2D(u_texture,tex).a;highp float gamma_scaled=gamma*gamma_scale;highp float alpha=smoothstep(buff-gamma_scaled,buff+gamma_scaled,dist);gl_FragColor=color*(alpha*opacity*fade_opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"const float PI=3.141592653589793;attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform highp float u_camera_to_center_distance;uniform float u_fade_change;uniform vec2 u_texsize;uniform vec2 u_texsize_icon;varying vec4 v_data0;varying vec4 v_data1;\\n#pragma mapbox: define highp vec4 fill_color\\n#pragma mapbox: define highp vec4 halo_color\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float halo_width\\n#pragma mapbox: define lowp float halo_blur\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 fill_color\\n#pragma mapbox: initialize highp vec4 halo_color\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float halo_width\\n#pragma mapbox: initialize lowp float halo_blur\\nvec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);float is_sdf=a_size[0]-2.0*a_size_min;highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec4 projectedPoint=u_matrix*vec4(a_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\\ncamera_to_anchor_distance/u_camera_to_center_distance :\\nu_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=size/24.0;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=u_matrix*vec4(a_pos+vec2(1,0),0,1);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy,0.0,1.0);gl_Position=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*fontScale),0.0,1.0);float gamma_scale=gl_Position.w;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;float interpolated_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));v_data0.xy=a_tex/u_texsize;v_data0.zw=a_tex/u_texsize_icon;v_data1=vec4(gamma_scale,size,interpolated_fade_opacity,is_sdf);}\");function _r(t,e){var r=/#pragma mapbox: ([\\w]+) ([\\w]+) ([\\w]+) ([\\w]+)/g,n={};return{fragmentSource:t=t.replace(r,(function(t,e,r,i,a){return n[a]=!0,\"define\"===e?\"\\n#ifndef HAS_UNIFORM_u_\"+a+\"\\nvarying \"+r+\" \"+i+\" \"+a+\";\\n#else\\nuniform \"+r+\" \"+i+\" u_\"+a+\";\\n#endif\\n\":\"\\n#ifdef HAS_UNIFORM_u_\"+a+\"\\n    \"+r+\" \"+i+\" \"+a+\" = u_\"+a+\";\\n#endif\\n\"})),vertexSource:e=e.replace(r,(function(t,e,r,i,a){var o=\"float\"===i?\"vec2\":\"vec4\",s=a.match(/color/)?\"color\":o;return n[a]?\"define\"===e?\"\\n#ifndef HAS_UNIFORM_u_\"+a+\"\\nuniform lowp float u_\"+a+\"_t;\\nattribute \"+r+\" \"+o+\" a_\"+a+\";\\nvarying \"+r+\" \"+i+\" \"+a+\";\\n#else\\nuniform \"+r+\" \"+i+\" u_\"+a+\";\\n#endif\\n\":\"vec4\"===s?\"\\n#ifndef HAS_UNIFORM_u_\"+a+\"\\n    \"+a+\" = a_\"+a+\";\\n#else\\n    \"+r+\" \"+i+\" \"+a+\" = u_\"+a+\";\\n#endif\\n\":\"\\n#ifndef HAS_UNIFORM_u_\"+a+\"\\n    \"+a+\" = unpack_mix_\"+s+\"(a_\"+a+\", u_\"+a+\"_t);\\n#else\\n    \"+r+\" \"+i+\" \"+a+\" = u_\"+a+\";\\n#endif\\n\":\"define\"===e?\"\\n#ifndef HAS_UNIFORM_u_\"+a+\"\\nuniform lowp float u_\"+a+\"_t;\\nattribute \"+r+\" \"+o+\" a_\"+a+\";\\n#else\\nuniform \"+r+\" \"+i+\" u_\"+a+\";\\n#endif\\n\":\"vec4\"===s?\"\\n#ifndef HAS_UNIFORM_u_\"+a+\"\\n    \"+r+\" \"+i+\" \"+a+\" = a_\"+a+\";\\n#else\\n    \"+r+\" \"+i+\" \"+a+\" = u_\"+a+\";\\n#endif\\n\":\"\\n#ifndef HAS_UNIFORM_u_\"+a+\"\\n    \"+r+\" \"+i+\" \"+a+\" = unpack_mix_\"+s+\"(a_\"+a+\", u_\"+a+\"_t);\\n#else\\n    \"+r+\" \"+i+\" \"+a+\" = u_\"+a+\";\\n#endif\\n\"}))}}var wr=Object.freeze({__proto__:null,prelude:Xe,background:Je,backgroundPattern:Ke,circle:$e,clippingMask:Qe,heatmap:tr,heatmapTexture:er,collisionBox:rr,collisionCircle:nr,debug:ir,fill:ar,fillOutline:or,fillOutlinePattern:sr,fillPattern:lr,fillExtrusion:ur,fillExtrusionPattern:cr,hillshadePrepare:fr,hillshade:hr,line:pr,lineGradient:dr,linePattern:vr,lineSDF:gr,raster:yr,symbolIcon:mr,symbolSDF:xr,symbolTextAndIcon:br}),Tr=function(){this.boundProgram=null,this.boundLayoutVertexBuffer=null,this.boundPaintVertexBuffers=[],this.boundIndexBuffer=null,this.boundVertexOffset=null,this.boundDynamicVertexBuffer=null,this.vao=null};Tr.prototype.bind=function(t,e,r,n,i,a,o,s){this.context=t;for(var l=this.boundPaintVertexBuffers.length!==n.length,u=0;!l&&u<n.length;u++)this.boundPaintVertexBuffers[u]!==n[u]&&(l=!0);var c=!this.vao||this.boundProgram!==e||this.boundLayoutVertexBuffer!==r||l||this.boundIndexBuffer!==i||this.boundVertexOffset!==a||this.boundDynamicVertexBuffer!==o||this.boundDynamicVertexBuffer2!==s;!t.extVertexArrayObject||c?this.freshBind(e,r,n,i,a,o,s):(t.bindVertexArrayOES.set(this.vao),o&&o.bind(),i&&i.dynamicDraw&&i.bind(),s&&s.bind())},Tr.prototype.freshBind=function(t,e,r,n,i,a,o){var s,l=t.numAttributes,u=this.context,c=u.gl;if(u.extVertexArrayObject)this.vao&&this.destroy(),this.vao=u.extVertexArrayObject.createVertexArrayOES(),u.bindVertexArrayOES.set(this.vao),s=0,this.boundProgram=t,this.boundLayoutVertexBuffer=e,this.boundPaintVertexBuffers=r,this.boundIndexBuffer=n,this.boundVertexOffset=i,this.boundDynamicVertexBuffer=a,this.boundDynamicVertexBuffer2=o;else{s=u.currentNumAttributes||0;for(var f=l;f<s;f++)c.disableVertexAttribArray(f)}e.enableAttributes(c,t);for(var h=0,p=r;h<p.length;h+=1)p[h].enableAttributes(c,t);a&&a.enableAttributes(c,t),o&&o.enableAttributes(c,t),e.bind(),e.setVertexAttribPointers(c,t,i);for(var d=0,v=r;d<v.length;d+=1){var g=v[d];g.bind(),g.setVertexAttribPointers(c,t,i)}a&&(a.bind(),a.setVertexAttribPointers(c,t,i)),n&&n.bind(),o&&(o.bind(),o.setVertexAttribPointers(c,t,i)),u.currentNumAttributes=l},Tr.prototype.destroy=function(){this.vao&&(this.context.extVertexArrayObject.deleteVertexArrayOES(this.vao),this.vao=null)};var kr=function(t,e,r,n,i){var a=t.gl;this.program=a.createProgram();var o=r?r.defines():[];i&&o.push(\"#define OVERDRAW_INSPECTOR;\");var s=o.concat(Xe.fragmentSource,e.fragmentSource).join(\"\\n\"),l=o.concat(Xe.vertexSource,e.vertexSource).join(\"\\n\"),u=a.createShader(a.FRAGMENT_SHADER);if(a.isContextLost())this.failedToCreate=!0;else{a.shaderSource(u,s),a.compileShader(u),a.attachShader(this.program,u);var c=a.createShader(a.VERTEX_SHADER);if(a.isContextLost())this.failedToCreate=!0;else{a.shaderSource(c,l),a.compileShader(c),a.attachShader(this.program,c);for(var f=r?r.layoutAttributes:[],h=0;h<f.length;h++)a.bindAttribLocation(this.program,h,f[h].name);a.linkProgram(this.program),a.deleteShader(c),a.deleteShader(u),this.numAttributes=a.getProgramParameter(this.program,a.ACTIVE_ATTRIBUTES),this.attributes={};for(var p={},d=0;d<this.numAttributes;d++){var v=a.getActiveAttrib(this.program,d);v&&(this.attributes[v.name]=a.getAttribLocation(this.program,v.name))}for(var g=a.getProgramParameter(this.program,a.ACTIVE_UNIFORMS),y=0;y<g;y++){var m=a.getActiveUniform(this.program,y);m&&(p[m.name]=a.getUniformLocation(this.program,m.name))}this.fixedUniforms=n(t,p),this.binderUniforms=r?r.getUniforms(t,p):[]}}};function Ar(t,e,r){var n=1/ge(r,1,e.transform.tileZoom),i=Math.pow(2,r.tileID.overscaledZ),a=r.tileSize*Math.pow(2,e.transform.tileZoom)/i,o=a*(r.tileID.canonical.x+r.tileID.wrap*i),s=a*r.tileID.canonical.y;return{u_image:0,u_texsize:r.imageAtlasTexture.size,u_scale:[n,t.fromScale,t.toScale],u_fade:t.t,u_pixel_coord_upper:[o>>16,s>>16],u_pixel_coord_lower:[65535&o,65535&s]}}kr.prototype.draw=function(t,e,r,n,i,a,o,s,l,u,c,f,h,p,d,v){var g,y=t.gl;if(!this.failedToCreate){for(var m in t.program.set(this.program),t.setDepthMode(r),t.setStencilMode(n),t.setColorMode(i),t.setCullFace(a),this.fixedUniforms)this.fixedUniforms[m].set(o[m]);p&&p.setUniforms(t,this.binderUniforms,f,{zoom:h});for(var x=(g={},g[y.LINES]=2,g[y.TRIANGLES]=3,g[y.LINE_STRIP]=1,g)[e],b=0,_=c.get();b<_.length;b+=1){var w=_[b],T=w.vaos||(w.vaos={});(T[s]||(T[s]=new Tr)).bind(t,this,l,p?p.getPaintVertexBuffers():[],u,w.vertexOffset,d,v),y.drawElements(e,w.primitiveLength*x,y.UNSIGNED_SHORT,w.primitiveOffset*x*2)}}};var Mr=function(e,r,n,i){var a=r.style.light,o=a.properties.get(\"position\"),s=[o.x,o.y,o.z],l=t.create$1();\"viewport\"===a.properties.get(\"anchor\")&&t.fromRotation(l,-r.transform.angle),t.transformMat3(s,s,l);var u=a.properties.get(\"color\");return{u_matrix:e,u_lightpos:s,u_lightintensity:a.properties.get(\"intensity\"),u_lightcolor:[u.r,u.g,u.b],u_vertical_gradient:+n,u_opacity:i}},Sr=function(e,r,n,i,a,o,s){return t.extend(Mr(e,r,n,i),Ar(o,r,s),{u_height_factor:-Math.pow(2,a.overscaledZ)/s.tileSize/8})},Er=function(t){return{u_matrix:t}},Lr=function(e,r,n,i){return t.extend(Er(e),Ar(n,r,i))},Cr=function(t,e){return{u_matrix:t,u_world:e}},Pr=function(e,r,n,i,a){return t.extend(Lr(e,r,n,i),{u_world:a})},Or=function(e,r,n,i){var a,o,s=e.transform;if(\"map\"===i.paint.get(\"circle-pitch-alignment\")){var l=ge(n,1,s.zoom);a=!0,o=[l,l]}else a=!1,o=s.pixelsToGLUnits;return{u_camera_to_center_distance:s.cameraToCenterDistance,u_scale_with_map:+(\"map\"===i.paint.get(\"circle-pitch-scale\")),u_matrix:e.translatePosMatrix(r.posMatrix,n,i.paint.get(\"circle-translate\"),i.paint.get(\"circle-translate-anchor\")),u_pitch_with_map:+a,u_device_pixel_ratio:t.browser.devicePixelRatio,u_extrude_scale:o}},Ir=function(t,e,r){var n=ge(r,1,e.zoom),i=Math.pow(2,e.zoom-r.tileID.overscaledZ),a=r.tileID.overscaleFactor();return{u_matrix:t,u_camera_to_center_distance:e.cameraToCenterDistance,u_pixels_to_tile_units:n,u_extrude_scale:[e.pixelsToGLUnits[0]/(n*i),e.pixelsToGLUnits[1]/(n*i)],u_overscale_factor:a}},Dr=function(t,e,r){return{u_matrix:t,u_inv_matrix:e,u_camera_to_center_distance:r.cameraToCenterDistance,u_viewport_size:[r.width,r.height]}},zr=function(t,e,r){return void 0===r&&(r=1),{u_matrix:t,u_color:e,u_overlay:0,u_overlay_scale:r}},Rr=function(t){return{u_matrix:t}},Fr=function(t,e,r,n){return{u_matrix:t,u_extrude_scale:ge(e,1,r),u_intensity:n}},Br=function(e,r,n,i){var a=t.create();t.ortho(a,0,e.width,e.height,0,0,1);var o=e.context.gl;return{u_matrix:a,u_world:[o.drawingBufferWidth,o.drawingBufferHeight],u_image:n,u_color_ramp:i,u_opacity:r.paint.get(\"heatmap-opacity\")}},Nr=function(e,r,n){var i=n.paint.get(\"hillshade-shadow-color\"),a=n.paint.get(\"hillshade-highlight-color\"),o=n.paint.get(\"hillshade-accent-color\"),s=n.paint.get(\"hillshade-illumination-direction\")*(Math.PI/180);\"viewport\"===n.paint.get(\"hillshade-illumination-anchor\")&&(s-=e.transform.angle);var l,u,c,f=!e.options.moving;return{u_matrix:e.transform.calculatePosMatrix(r.tileID.toUnwrapped(),f),u_image:0,u_latrange:(l=r.tileID,u=Math.pow(2,l.canonical.z),c=l.canonical.y,[new t.MercatorCoordinate(0,c/u).toLngLat().lat,new t.MercatorCoordinate(0,(c+1)/u).toLngLat().lat]),u_light:[n.paint.get(\"hillshade-exaggeration\"),s],u_shadow:i,u_highlight:a,u_accent:o}},jr=function(e,r,n){var i=r.stride,a=t.create();return t.ortho(a,0,t.EXTENT,-t.EXTENT,0,0,1),t.translate(a,a,[0,-t.EXTENT,0]),{u_matrix:a,u_image:1,u_dimension:[i,i],u_zoom:e.overscaledZ,u_maxzoom:n,u_unpack:r.getUnpackVector()}};var Ur=function(e,r,n){var i=e.transform;return{u_matrix:Zr(e,r,n),u_ratio:1/ge(r,1,i.zoom),u_device_pixel_ratio:t.browser.devicePixelRatio,u_units_to_pixels:[1/i.pixelsToGLUnits[0],1/i.pixelsToGLUnits[1]]}},Vr=function(e,r,n){return t.extend(Ur(e,r,n),{u_image:0})},Hr=function(e,r,n,i){var a=e.transform,o=Gr(r,a);return{u_matrix:Zr(e,r,n),u_texsize:r.imageAtlasTexture.size,u_ratio:1/ge(r,1,a.zoom),u_device_pixel_ratio:t.browser.devicePixelRatio,u_image:0,u_scale:[o,i.fromScale,i.toScale],u_fade:i.t,u_units_to_pixels:[1/a.pixelsToGLUnits[0],1/a.pixelsToGLUnits[1]]}},qr=function(e,r,n,i,a){var o=e.transform,s=e.lineAtlas,l=Gr(r,o),u=\"round\"===n.layout.get(\"line-cap\"),c=s.getDash(i.from,u),f=s.getDash(i.to,u),h=c.width*a.fromScale,p=f.width*a.toScale;return t.extend(Ur(e,r,n),{u_patternscale_a:[l/h,-c.height/2],u_patternscale_b:[l/p,-f.height/2],u_sdfgamma:s.width/(256*Math.min(h,p)*t.browser.devicePixelRatio)/2,u_image:0,u_tex_y_a:c.y,u_tex_y_b:f.y,u_mix:a.t})};function Gr(t,e){return 1/ge(t,1,e.tileZoom)}function Zr(t,e,r){return t.translatePosMatrix(e.tileID.posMatrix,e,r.paint.get(\"line-translate\"),r.paint.get(\"line-translate-anchor\"))}var Yr=function(t,e,r,n,i){return{u_matrix:t,u_tl_parent:e,u_scale_parent:r,u_buffer_scale:1,u_fade_t:n.mix,u_opacity:n.opacity*i.paint.get(\"raster-opacity\"),u_image0:0,u_image1:1,u_brightness_low:i.paint.get(\"raster-brightness-min\"),u_brightness_high:i.paint.get(\"raster-brightness-max\"),u_saturation_factor:(o=i.paint.get(\"raster-saturation\"),o>0?1-1/(1.001-o):-o),u_contrast_factor:(a=i.paint.get(\"raster-contrast\"),a>0?1/(1-a):1+a),u_spin_weights:Wr(i.paint.get(\"raster-hue-rotate\"))};var a,o};function Wr(t){t*=Math.PI/180;var e=Math.sin(t),r=Math.cos(t);return[(2*r+1)/3,(-Math.sqrt(3)*e-r+1)/3,(Math.sqrt(3)*e-r+1)/3]}var Xr,Jr=function(t,e,r,n,i,a,o,s,l,u){var c=i.transform;return{u_is_size_zoom_constant:+(\"constant\"===t||\"source\"===t),u_is_size_feature_constant:+(\"constant\"===t||\"camera\"===t),u_size_t:e?e.uSizeT:0,u_size:e?e.uSize:0,u_camera_to_center_distance:c.cameraToCenterDistance,u_pitch:c.pitch/360*2*Math.PI,u_rotate_symbol:+r,u_aspect_ratio:c.width/c.height,u_fade_change:i.options.fadeDuration?i.symbolFadeChange:1,u_matrix:a,u_label_plane_matrix:o,u_coord_matrix:s,u_is_text:+l,u_pitch_with_map:+n,u_texsize:u,u_texture:0}},Kr=function(e,r,n,i,a,o,s,l,u,c,f){var h=a.transform;return t.extend(Jr(e,r,n,i,a,o,s,l,u,c),{u_gamma_scale:i?Math.cos(h._pitch)*h.cameraToCenterDistance:1,u_device_pixel_ratio:t.browser.devicePixelRatio,u_is_halo:+f})},$r=function(e,r,n,i,a,o,s,l,u,c){return t.extend(Kr(e,r,n,i,a,o,s,l,!0,u,!0),{u_texsize_icon:c,u_texture_icon:1})},Qr=function(t,e,r){return{u_matrix:t,u_opacity:e,u_color:r}},tn=function(e,r,n,i,a,o){return t.extend(function(t,e,r,n){var i=r.imageManager.getPattern(t.from.toString()),a=r.imageManager.getPattern(t.to.toString()),o=r.imageManager.getPixelSize(),s=o.width,l=o.height,u=Math.pow(2,n.tileID.overscaledZ),c=n.tileSize*Math.pow(2,r.transform.tileZoom)/u,f=c*(n.tileID.canonical.x+n.tileID.wrap*u),h=c*n.tileID.canonical.y;return{u_image:0,u_pattern_tl_a:i.tl,u_pattern_br_a:i.br,u_pattern_tl_b:a.tl,u_pattern_br_b:a.br,u_texsize:[s,l],u_mix:e.t,u_pattern_size_a:i.displaySize,u_pattern_size_b:a.displaySize,u_scale_a:e.fromScale,u_scale_b:e.toScale,u_tile_units_to_pixels:1/ge(n,1,r.transform.tileZoom),u_pixel_coord_upper:[f>>16,h>>16],u_pixel_coord_lower:[65535&f,65535&h]}}(i,o,n,a),{u_matrix:e,u_opacity:r})},en={fillExtrusion:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_lightpos:new t.Uniform3f(e,r.u_lightpos),u_lightintensity:new t.Uniform1f(e,r.u_lightintensity),u_lightcolor:new t.Uniform3f(e,r.u_lightcolor),u_vertical_gradient:new t.Uniform1f(e,r.u_vertical_gradient),u_opacity:new t.Uniform1f(e,r.u_opacity)}},fillExtrusionPattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_lightpos:new t.Uniform3f(e,r.u_lightpos),u_lightintensity:new t.Uniform1f(e,r.u_lightintensity),u_lightcolor:new t.Uniform3f(e,r.u_lightcolor),u_vertical_gradient:new t.Uniform1f(e,r.u_vertical_gradient),u_height_factor:new t.Uniform1f(e,r.u_height_factor),u_image:new t.Uniform1i(e,r.u_image),u_texsize:new t.Uniform2f(e,r.u_texsize),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade),u_opacity:new t.Uniform1f(e,r.u_opacity)}},fill:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},fillPattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_image:new t.Uniform1i(e,r.u_image),u_texsize:new t.Uniform2f(e,r.u_texsize),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade)}},fillOutline:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_world:new t.Uniform2f(e,r.u_world)}},fillOutlinePattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_world:new t.Uniform2f(e,r.u_world),u_image:new t.Uniform1i(e,r.u_image),u_texsize:new t.Uniform2f(e,r.u_texsize),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade)}},circle:function(e,r){return{u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_scale_with_map:new t.Uniform1i(e,r.u_scale_with_map),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_extrude_scale:new t.Uniform2f(e,r.u_extrude_scale),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},collisionBox:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pixels_to_tile_units:new t.Uniform1f(e,r.u_pixels_to_tile_units),u_extrude_scale:new t.Uniform2f(e,r.u_extrude_scale),u_overscale_factor:new t.Uniform1f(e,r.u_overscale_factor)}},collisionCircle:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_inv_matrix:new t.UniformMatrix4f(e,r.u_inv_matrix),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_viewport_size:new t.Uniform2f(e,r.u_viewport_size)}},debug:function(e,r){return{u_color:new t.UniformColor(e,r.u_color),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_overlay:new t.Uniform1i(e,r.u_overlay),u_overlay_scale:new t.Uniform1f(e,r.u_overlay_scale)}},clippingMask:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},heatmap:function(e,r){return{u_extrude_scale:new t.Uniform1f(e,r.u_extrude_scale),u_intensity:new t.Uniform1f(e,r.u_intensity),u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},heatmapTexture:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_world:new t.Uniform2f(e,r.u_world),u_image:new t.Uniform1i(e,r.u_image),u_color_ramp:new t.Uniform1i(e,r.u_color_ramp),u_opacity:new t.Uniform1f(e,r.u_opacity)}},hillshade:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_image:new t.Uniform1i(e,r.u_image),u_latrange:new t.Uniform2f(e,r.u_latrange),u_light:new t.Uniform2f(e,r.u_light),u_shadow:new t.UniformColor(e,r.u_shadow),u_highlight:new t.UniformColor(e,r.u_highlight),u_accent:new t.UniformColor(e,r.u_accent)}},hillshadePrepare:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_image:new t.Uniform1i(e,r.u_image),u_dimension:new t.Uniform2f(e,r.u_dimension),u_zoom:new t.Uniform1f(e,r.u_zoom),u_maxzoom:new t.Uniform1f(e,r.u_maxzoom),u_unpack:new t.Uniform4f(e,r.u_unpack)}},line:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels)}},lineGradient:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels),u_image:new t.Uniform1i(e,r.u_image)}},linePattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_texsize:new t.Uniform2f(e,r.u_texsize),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_image:new t.Uniform1i(e,r.u_image),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade)}},lineSDF:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels),u_patternscale_a:new t.Uniform2f(e,r.u_patternscale_a),u_patternscale_b:new t.Uniform2f(e,r.u_patternscale_b),u_sdfgamma:new t.Uniform1f(e,r.u_sdfgamma),u_image:new t.Uniform1i(e,r.u_image),u_tex_y_a:new t.Uniform1f(e,r.u_tex_y_a),u_tex_y_b:new t.Uniform1f(e,r.u_tex_y_b),u_mix:new t.Uniform1f(e,r.u_mix)}},raster:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_tl_parent:new t.Uniform2f(e,r.u_tl_parent),u_scale_parent:new t.Uniform1f(e,r.u_scale_parent),u_buffer_scale:new t.Uniform1f(e,r.u_buffer_scale),u_fade_t:new t.Uniform1f(e,r.u_fade_t),u_opacity:new t.Uniform1f(e,r.u_opacity),u_image0:new t.Uniform1i(e,r.u_image0),u_image1:new t.Uniform1i(e,r.u_image1),u_brightness_low:new t.Uniform1f(e,r.u_brightness_low),u_brightness_high:new t.Uniform1f(e,r.u_brightness_high),u_saturation_factor:new t.Uniform1f(e,r.u_saturation_factor),u_contrast_factor:new t.Uniform1f(e,r.u_contrast_factor),u_spin_weights:new t.Uniform3f(e,r.u_spin_weights)}},symbolIcon:function(e,r){return{u_is_size_zoom_constant:new t.Uniform1i(e,r.u_is_size_zoom_constant),u_is_size_feature_constant:new t.Uniform1i(e,r.u_is_size_feature_constant),u_size_t:new t.Uniform1f(e,r.u_size_t),u_size:new t.Uniform1f(e,r.u_size),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pitch:new t.Uniform1f(e,r.u_pitch),u_rotate_symbol:new t.Uniform1i(e,r.u_rotate_symbol),u_aspect_ratio:new t.Uniform1f(e,r.u_aspect_ratio),u_fade_change:new t.Uniform1f(e,r.u_fade_change),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_label_plane_matrix:new t.UniformMatrix4f(e,r.u_label_plane_matrix),u_coord_matrix:new t.UniformMatrix4f(e,r.u_coord_matrix),u_is_text:new t.Uniform1i(e,r.u_is_text),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_texsize:new t.Uniform2f(e,r.u_texsize),u_texture:new t.Uniform1i(e,r.u_texture)}},symbolSDF:function(e,r){return{u_is_size_zoom_constant:new t.Uniform1i(e,r.u_is_size_zoom_constant),u_is_size_feature_constant:new t.Uniform1i(e,r.u_is_size_feature_constant),u_size_t:new t.Uniform1f(e,r.u_size_t),u_size:new t.Uniform1f(e,r.u_size),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pitch:new t.Uniform1f(e,r.u_pitch),u_rotate_symbol:new t.Uniform1i(e,r.u_rotate_symbol),u_aspect_ratio:new t.Uniform1f(e,r.u_aspect_ratio),u_fade_change:new t.Uniform1f(e,r.u_fade_change),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_label_plane_matrix:new t.UniformMatrix4f(e,r.u_label_plane_matrix),u_coord_matrix:new t.UniformMatrix4f(e,r.u_coord_matrix),u_is_text:new t.Uniform1i(e,r.u_is_text),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_texsize:new t.Uniform2f(e,r.u_texsize),u_texture:new t.Uniform1i(e,r.u_texture),u_gamma_scale:new t.Uniform1f(e,r.u_gamma_scale),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_is_halo:new t.Uniform1i(e,r.u_is_halo)}},symbolTextAndIcon:function(e,r){return{u_is_size_zoom_constant:new t.Uniform1i(e,r.u_is_size_zoom_constant),u_is_size_feature_constant:new t.Uniform1i(e,r.u_is_size_feature_constant),u_size_t:new t.Uniform1f(e,r.u_size_t),u_size:new t.Uniform1f(e,r.u_size),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pitch:new t.Uniform1f(e,r.u_pitch),u_rotate_symbol:new t.Uniform1i(e,r.u_rotate_symbol),u_aspect_ratio:new t.Uniform1f(e,r.u_aspect_ratio),u_fade_change:new t.Uniform1f(e,r.u_fade_change),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_label_plane_matrix:new t.UniformMatrix4f(e,r.u_label_plane_matrix),u_coord_matrix:new t.UniformMatrix4f(e,r.u_coord_matrix),u_is_text:new t.Uniform1i(e,r.u_is_text),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_texsize:new t.Uniform2f(e,r.u_texsize),u_texsize_icon:new t.Uniform2f(e,r.u_texsize_icon),u_texture:new t.Uniform1i(e,r.u_texture),u_texture_icon:new t.Uniform1i(e,r.u_texture_icon),u_gamma_scale:new t.Uniform1f(e,r.u_gamma_scale),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_is_halo:new t.Uniform1i(e,r.u_is_halo)}},background:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_opacity:new t.Uniform1f(e,r.u_opacity),u_color:new t.UniformColor(e,r.u_color)}},backgroundPattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_opacity:new t.Uniform1f(e,r.u_opacity),u_image:new t.Uniform1i(e,r.u_image),u_pattern_tl_a:new t.Uniform2f(e,r.u_pattern_tl_a),u_pattern_br_a:new t.Uniform2f(e,r.u_pattern_br_a),u_pattern_tl_b:new t.Uniform2f(e,r.u_pattern_tl_b),u_pattern_br_b:new t.Uniform2f(e,r.u_pattern_br_b),u_texsize:new t.Uniform2f(e,r.u_texsize),u_mix:new t.Uniform1f(e,r.u_mix),u_pattern_size_a:new t.Uniform2f(e,r.u_pattern_size_a),u_pattern_size_b:new t.Uniform2f(e,r.u_pattern_size_b),u_scale_a:new t.Uniform1f(e,r.u_scale_a),u_scale_b:new t.Uniform1f(e,r.u_scale_b),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_tile_units_to_pixels:new t.Uniform1f(e,r.u_tile_units_to_pixels)}}};function rn(e,r,n,i,a,o,s){for(var l=e.context,u=l.gl,c=e.useProgram(\"collisionBox\"),f=[],h=0,p=0,d=0;d<i.length;d++){var v=i[d],g=r.getTile(v),y=g.getBucket(n);if(y){var m=v.posMatrix;0===a[0]&&0===a[1]||(m=e.translatePosMatrix(v.posMatrix,g,a,o));var x=s?y.textCollisionBox:y.iconCollisionBox,b=y.collisionCircleArray;if(b.length>0){var _=t.create(),w=m;t.mul(_,y.placementInvProjMatrix,e.transform.glCoordMatrix),t.mul(_,_,y.placementViewportMatrix),f.push({circleArray:b,circleOffset:p,transform:w,invTransform:_}),p=h+=b.length/4}x&&c.draw(l,u.LINES,Mt.disabled,Et.disabled,e.colorModeForRenderPass(),Ct.disabled,Ir(m,e.transform,g),n.id,x.layoutVertexBuffer,x.indexBuffer,x.segments,null,e.transform.zoom,null,null,x.collisionVertexBuffer)}}if(s&&f.length){var T=e.useProgram(\"collisionCircle\"),k=new t.StructArrayLayout2f1f2i16;k.resize(4*h),k._trim();for(var A=0,M=0,S=f;M<S.length;M+=1)for(var E=S[M],L=0;L<E.circleArray.length/4;L++){var C=4*L,P=E.circleArray[C+0],O=E.circleArray[C+1],I=E.circleArray[C+2],D=E.circleArray[C+3];k.emplace(A++,P,O,I,D,0),k.emplace(A++,P,O,I,D,1),k.emplace(A++,P,O,I,D,2),k.emplace(A++,P,O,I,D,3)}(!Xr||Xr.length<2*h)&&(Xr=function(e){var r=2*e,n=new t.StructArrayLayout3ui6;n.resize(r),n._trim();for(var i=0;i<r;i++){var a=6*i;n.uint16[a+0]=4*i+0,n.uint16[a+1]=4*i+1,n.uint16[a+2]=4*i+2,n.uint16[a+3]=4*i+2,n.uint16[a+4]=4*i+3,n.uint16[a+5]=4*i+0}return n}(h));for(var z=l.createIndexBuffer(Xr,!0),R=l.createVertexBuffer(k,t.collisionCircleLayout.members,!0),F=0,B=f;F<B.length;F+=1){var N=B[F],j=Dr(N.transform,N.invTransform,e.transform);T.draw(l,u.TRIANGLES,Mt.disabled,Et.disabled,e.colorModeForRenderPass(),Ct.disabled,j,n.id,R,z,t.SegmentVector.simpleSegment(0,2*N.circleOffset,N.circleArray.length,N.circleArray.length/2),null,e.transform.zoom,null,null,null)}R.destroy(),z.destroy()}}var nn=t.identity(new Float32Array(16));function an(e,r,n,i,a,o){var s=t.getAnchorAlignment(e),l=-(s.horizontalAlign-.5)*r,u=-(s.verticalAlign-.5)*n,c=t.evaluateVariableOffset(e,i);return new t.Point((l/a+c[0])*o,(u/a+c[1])*o)}function on(e,r,n,i,a,o,s,l,u,c,f){var h=e.text.placedSymbolArray,p=e.text.dynamicLayoutVertexArray,d=e.icon.dynamicLayoutVertexArray,v={};p.clear();for(var g=0;g<h.length;g++){var y=h.get(g),m=e.allowVerticalPlacement&&!y.placedOrientation,x=y.hidden||!y.crossTileID||m?null:i[y.crossTileID];if(x){var b=new t.Point(y.anchorX,y.anchorY),_=re(b,n?l:s),w=ne(o.cameraToCenterDistance,_.signedDistanceFromCamera),T=a.evaluateSizeForFeature(e.textSizeData,c,y)*w/t.ONE_EM;n&&(T*=e.tilePixelRatio/u);for(var k=x.width,A=x.height,M=an(x.anchor,k,A,x.textOffset,x.textBoxScale,T),S=n?re(b.add(M),s).point:_.point.add(r?M.rotate(-o.angle):M),E=e.allowVerticalPlacement&&y.placedOrientation===t.WritingMode.vertical?Math.PI/2:0,L=0;L<y.numGlyphs;L++)t.addDynamicAttributes(p,S,E);f&&y.associatedIconIndex>=0&&(v[y.associatedIconIndex]={shiftedAnchor:S,angle:E})}else he(y.numGlyphs,p)}if(f){d.clear();for(var C=e.icon.placedSymbolArray,P=0;P<C.length;P++){var O=C.get(P);if(O.hidden)he(O.numGlyphs,d);else{var I=v[P];if(I)for(var D=0;D<O.numGlyphs;D++)t.addDynamicAttributes(d,I.shiftedAnchor,I.angle);else he(O.numGlyphs,d)}}e.icon.dynamicLayoutVertexBuffer.updateData(d)}e.text.dynamicLayoutVertexBuffer.updateData(p)}function sn(t,e,r){return r.iconsInText&&e?\"symbolTextAndIcon\":t?\"symbolSDF\":\"symbolIcon\"}function ln(e,r,n,i,a,o,s,l,u,c,f,h){for(var p=e.context,d=p.gl,v=e.transform,g=\"map\"===l,y=\"map\"===u,m=g&&\"point\"!==n.layout.get(\"symbol-placement\"),x=g&&!y&&!m,b=void 0!==n.layout.get(\"symbol-sort-key\").constantOr(1),_=e.depthModeForSublayer(0,Mt.ReadOnly),w=n.layout.get(\"text-variable-anchor\"),T=[],k=0,A=i;k<A.length;k+=1){var M=A[k],S=r.getTile(M),E=S.getBucket(n);if(E){var L=a?E.text:E.icon;if(L&&L.segments.get().length){var C=L.programConfigurations.get(n.id),P=a||E.sdfIcons,O=a?E.textSizeData:E.iconSizeData,I=y||0!==v.pitch,D=e.useProgram(sn(P,a,E),C),z=t.evaluateSizeForZoom(O,v.zoom),R=void 0,F=[0,0],B=void 0,N=void 0,j=null,U=void 0;if(a){if(B=S.glyphAtlasTexture,N=d.LINEAR,R=S.glyphAtlasTexture.size,E.iconsInText){F=S.imageAtlasTexture.size,j=S.imageAtlasTexture;var V=\"composite\"===O.kind||\"camera\"===O.kind;U=I||e.options.rotating||e.options.zooming||V?d.LINEAR:d.NEAREST}}else{var H=1!==n.layout.get(\"icon-size\").constantOr(0)||E.iconsNeedLinear;B=S.imageAtlasTexture,N=P||e.options.rotating||e.options.zooming||H||I?d.LINEAR:d.NEAREST,R=S.imageAtlasTexture.size}var q=ge(S,1,e.transform.zoom),G=te(M.posMatrix,y,g,e.transform,q),Z=ee(M.posMatrix,y,g,e.transform,q),Y=w&&E.hasTextData(),W=\"none\"!==n.layout.get(\"icon-text-fit\")&&Y&&E.hasIconData();m&&ae(E,M.posMatrix,e,a,G,Z,y,c);var X=e.translatePosMatrix(M.posMatrix,S,o,s),J=m||a&&w||W?nn:G,K=e.translatePosMatrix(Z,S,o,s,!0),$=P&&0!==n.paint.get(a?\"text-halo-width\":\"icon-halo-width\").constantOr(1),Q={program:D,buffers:L,uniformValues:P?E.iconsInText?$r(O.kind,z,x,y,e,X,J,K,R,F):Kr(O.kind,z,x,y,e,X,J,K,a,R,!0):Jr(O.kind,z,x,y,e,X,J,K,a,R),atlasTexture:B,atlasTextureIcon:j,atlasInterpolation:N,atlasInterpolationIcon:U,isSDF:P,hasHalo:$};if(b)for(var tt=0,et=L.segments.get();tt<et.length;tt+=1){var rt=et[tt];T.push({segments:new t.SegmentVector([rt]),sortKey:rt.sortKey,state:Q})}else T.push({segments:L.segments,sortKey:0,state:Q})}}}b&&T.sort((function(t,e){return t.sortKey-e.sortKey}));for(var nt=0,it=T;nt<it.length;nt+=1){var at=it[nt],ot=at.state;if(p.activeTexture.set(d.TEXTURE0),ot.atlasTexture.bind(ot.atlasInterpolation,d.CLAMP_TO_EDGE),ot.atlasTextureIcon&&(p.activeTexture.set(d.TEXTURE1),ot.atlasTextureIcon&&ot.atlasTextureIcon.bind(ot.atlasInterpolationIcon,d.CLAMP_TO_EDGE)),ot.isSDF){var st=ot.uniformValues;ot.hasHalo&&(st.u_is_halo=1,un(ot.buffers,at.segments,n,e,ot.program,_,f,h,st)),st.u_is_halo=0}un(ot.buffers,at.segments,n,e,ot.program,_,f,h,ot.uniformValues)}}function un(t,e,r,n,i,a,o,s,l){var u=n.context,c=u.gl;i.draw(u,c.TRIANGLES,a,o,s,Ct.disabled,l,r.id,t.layoutVertexBuffer,t.indexBuffer,e,r.paint,n.transform.zoom,t.programConfigurations.get(r.id),t.dynamicLayoutVertexBuffer,t.opacityVertexBuffer)}function cn(t,e,r,n,i,a,o){var s,l,u,c,f,h=t.context.gl,p=r.paint.get(\"fill-pattern\"),d=p&&p.constantOr(1),v=r.getCrossfadeParameters();o?(l=d&&!r.getPaintProperty(\"fill-outline-color\")?\"fillOutlinePattern\":\"fillOutline\",s=h.LINES):(l=d?\"fillPattern\":\"fill\",s=h.TRIANGLES);for(var g=0,y=n;g<y.length;g+=1){var m=y[g],x=e.getTile(m);if(!d||x.patternsLoaded()){var b=x.getBucket(r);if(b){var _=b.programConfigurations.get(r.id),w=t.useProgram(l,_);d&&(t.context.activeTexture.set(h.TEXTURE0),x.imageAtlasTexture.bind(h.LINEAR,h.CLAMP_TO_EDGE),_.updatePaintBuffers(v));var T=p.constantOr(null);if(T&&x.imageAtlas){var k=x.imageAtlas,A=k.patternPositions[T.to.toString()],M=k.patternPositions[T.from.toString()];A&&M&&_.setConstantPatternPositions(A,M)}var S=t.translatePosMatrix(m.posMatrix,x,r.paint.get(\"fill-translate\"),r.paint.get(\"fill-translate-anchor\"));if(o){c=b.indexBuffer2,f=b.segments2;var E=[h.drawingBufferWidth,h.drawingBufferHeight];u=\"fillOutlinePattern\"===l&&d?Pr(S,t,v,x,E):Cr(S,E)}else c=b.indexBuffer,f=b.segments,u=d?Lr(S,t,v,x):Er(S);w.draw(t.context,s,i,t.stencilModeForClipping(m),a,Ct.disabled,u,r.id,b.layoutVertexBuffer,c,f,r.paint,t.transform.zoom,_)}}}}function fn(t,e,r,n,i,a,o){for(var s=t.context,l=s.gl,u=r.paint.get(\"fill-extrusion-pattern\"),c=u.constantOr(1),f=r.getCrossfadeParameters(),h=r.paint.get(\"fill-extrusion-opacity\"),p=0,d=n;p<d.length;p+=1){var v=d[p],g=e.getTile(v),y=g.getBucket(r);if(y){var m=y.programConfigurations.get(r.id),x=t.useProgram(c?\"fillExtrusionPattern\":\"fillExtrusion\",m);c&&(t.context.activeTexture.set(l.TEXTURE0),g.imageAtlasTexture.bind(l.LINEAR,l.CLAMP_TO_EDGE),m.updatePaintBuffers(f));var b=u.constantOr(null);if(b&&g.imageAtlas){var _=g.imageAtlas,w=_.patternPositions[b.to.toString()],T=_.patternPositions[b.from.toString()];w&&T&&m.setConstantPatternPositions(w,T)}var k=t.translatePosMatrix(v.posMatrix,g,r.paint.get(\"fill-extrusion-translate\"),r.paint.get(\"fill-extrusion-translate-anchor\")),A=r.paint.get(\"fill-extrusion-vertical-gradient\"),M=c?Sr(k,t,A,h,v,f,g):Mr(k,t,A,h);x.draw(s,s.gl.TRIANGLES,i,a,o,Ct.backCCW,M,r.id,y.layoutVertexBuffer,y.indexBuffer,y.segments,r.paint,t.transform.zoom,m)}}}function hn(t,e,r,n,i,a){var o=t.context,s=o.gl,l=e.fbo;if(l){var u=t.useProgram(\"hillshade\");o.activeTexture.set(s.TEXTURE0),s.bindTexture(s.TEXTURE_2D,l.colorAttachment.get());var c=Nr(t,e,r);u.draw(o,s.TRIANGLES,n,i,a,Ct.disabled,c,r.id,t.rasterBoundsBuffer,t.quadTriangleIndexBuffer,t.rasterBoundsSegments)}}function pn(e,r,n,i,a,o,s){var l=e.context,u=l.gl,c=r.dem;if(c&&c.data){var f=c.dim,h=c.stride,p=c.getPixels();if(l.activeTexture.set(u.TEXTURE1),l.pixelStoreUnpackPremultiplyAlpha.set(!1),r.demTexture=r.demTexture||e.getTileTexture(h),r.demTexture){var d=r.demTexture;d.update(p,{premultiply:!1}),d.bind(u.NEAREST,u.CLAMP_TO_EDGE)}else r.demTexture=new t.Texture(l,p,u.RGBA,{premultiply:!1}),r.demTexture.bind(u.NEAREST,u.CLAMP_TO_EDGE);l.activeTexture.set(u.TEXTURE0);var v=r.fbo;if(!v){var g=new t.Texture(l,{width:f,height:f,data:null},u.RGBA);g.bind(u.LINEAR,u.CLAMP_TO_EDGE),(v=r.fbo=l.createFramebuffer(f,f,!0)).colorAttachment.set(g.texture)}l.bindFramebuffer.set(v.framebuffer),l.viewport.set([0,0,f,f]),e.useProgram(\"hillshadePrepare\").draw(l,u.TRIANGLES,a,o,s,Ct.disabled,jr(r.tileID,c,i),n.id,e.rasterBoundsBuffer,e.quadTriangleIndexBuffer,e.rasterBoundsSegments),r.needsHillshadePrepare=!1}}function dn(e,r,n,i,a){var o=i.paint.get(\"raster-fade-duration\");if(o>0){var s=t.browser.now(),l=(s-e.timeAdded)/o,u=r?(s-r.timeAdded)/o:-1,c=n.getSource(),f=a.coveringZoomLevel({tileSize:c.tileSize,roundZoom:c.roundZoom}),h=!r||Math.abs(r.tileID.overscaledZ-f)>Math.abs(e.tileID.overscaledZ-f),p=h&&e.refreshedUponExpiration?1:t.clamp(h?l:1-u,0,1);return e.refreshedUponExpiration&&l>=1&&(e.refreshedUponExpiration=!1),r?{opacity:1,mix:1-p}:{opacity:p,mix:0}}return{opacity:1,mix:0}}var vn=new t.Color(1,0,0,1),gn=new t.Color(0,1,0,1),yn=new t.Color(0,0,1,1),mn=new t.Color(1,0,1,1),xn=new t.Color(0,1,1,1);function bn(t){var e=t.transform.padding;_n(t,t.transform.height-(e.top||0),3,vn),_n(t,e.bottom||0,3,gn),wn(t,e.left||0,3,yn),wn(t,t.transform.width-(e.right||0),3,mn);var r=t.transform.centerPoint;!function(t,e,r,n){var i=20,a=2;Tn(t,e-a/2,r-i/2,a,i,n),Tn(t,e-i/2,r-a/2,i,a,n)}(t,r.x,t.transform.height-r.y,xn)}function _n(t,e,r,n){Tn(t,0,e+r/2,t.transform.width,r,n)}function wn(t,e,r,n){Tn(t,e-r/2,0,r,t.transform.height,n)}function Tn(e,r,n,i,a,o){var s=e.context,l=s.gl;l.enable(l.SCISSOR_TEST),l.scissor(r*t.browser.devicePixelRatio,n*t.browser.devicePixelRatio,i*t.browser.devicePixelRatio,a*t.browser.devicePixelRatio),s.clear({color:o}),l.disable(l.SCISSOR_TEST)}function kn(e,r,n){var i=e.context,a=i.gl,o=n.posMatrix,s=e.useProgram(\"debug\"),l=Mt.disabled,u=Et.disabled,c=e.colorModeForRenderPass(),f=\"$debug\";i.activeTexture.set(a.TEXTURE0),e.emptyTexture.bind(a.LINEAR,a.CLAMP_TO_EDGE),s.draw(i,a.LINE_STRIP,l,u,c,Ct.disabled,zr(o,t.Color.red),f,e.debugBuffer,e.tileBorderIndexBuffer,e.debugSegments);var h=r.getTileByID(n.key).latestRawTileData,p=h&&h.byteLength||0,d=Math.floor(p/1024),v=r.getTile(n).tileSize,g=512/Math.min(v,512)*(n.overscaledZ/e.transform.zoom)*.5,y=n.canonical.toString();n.overscaledZ!==n.canonical.z&&(y+=\" => \"+n.overscaledZ),function(t,e){t.initDebugOverlayCanvas();var r=t.debugOverlayCanvas,n=t.context.gl,i=t.debugOverlayCanvas.getContext(\"2d\");i.clearRect(0,0,r.width,r.height),i.shadowColor=\"white\",i.shadowBlur=2,i.lineWidth=1.5,i.strokeStyle=\"white\",i.textBaseline=\"top\",i.font=\"bold 36px Open Sans, sans-serif\",i.fillText(e,5,5),i.strokeText(e,5,5),t.debugOverlayTexture.update(r),t.debugOverlayTexture.bind(n.LINEAR,n.CLAMP_TO_EDGE)}(e,y+\" \"+d+\"kb\"),s.draw(i,a.TRIANGLES,l,u,Lt.alphaBlended,Ct.disabled,zr(o,t.Color.transparent,g),f,e.debugBuffer,e.quadTriangleIndexBuffer,e.debugSegments)}var An={symbol:function(e,r,n,i,a){if(\"translucent\"===e.renderPass){var o=Et.disabled,s=e.colorModeForRenderPass();n.layout.get(\"text-variable-anchor\")&&function(e,r,n,i,a,o,s){for(var l=r.transform,u=\"map\"===a,c=\"map\"===o,f=0,h=e;f<h.length;f+=1){var p=h[f],d=i.getTile(p),v=d.getBucket(n);if(v&&v.text&&v.text.segments.get().length){var g=v.textSizeData,y=t.evaluateSizeForZoom(g,l.zoom),m=ge(d,1,r.transform.zoom),x=te(p.posMatrix,c,u,r.transform,m),b=\"none\"!==n.layout.get(\"icon-text-fit\")&&v.hasIconData();if(y){var _=Math.pow(2,l.zoom-d.tileID.overscaledZ);on(v,u,c,s,t.symbolSize,l,x,p.posMatrix,_,y,b)}}}}(i,e,n,r,n.layout.get(\"text-rotation-alignment\"),n.layout.get(\"text-pitch-alignment\"),a),0!==n.paint.get(\"icon-opacity\").constantOr(1)&&ln(e,r,n,i,!1,n.paint.get(\"icon-translate\"),n.paint.get(\"icon-translate-anchor\"),n.layout.get(\"icon-rotation-alignment\"),n.layout.get(\"icon-pitch-alignment\"),n.layout.get(\"icon-keep-upright\"),o,s),0!==n.paint.get(\"text-opacity\").constantOr(1)&&ln(e,r,n,i,!0,n.paint.get(\"text-translate\"),n.paint.get(\"text-translate-anchor\"),n.layout.get(\"text-rotation-alignment\"),n.layout.get(\"text-pitch-alignment\"),n.layout.get(\"text-keep-upright\"),o,s),r.map.showCollisionBoxes&&(rn(e,r,n,i,n.paint.get(\"text-translate\"),n.paint.get(\"text-translate-anchor\"),!0),rn(e,r,n,i,n.paint.get(\"icon-translate\"),n.paint.get(\"icon-translate-anchor\"),!1))}},circle:function(e,r,n,i){if(\"translucent\"===e.renderPass){var a=n.paint.get(\"circle-opacity\"),o=n.paint.get(\"circle-stroke-width\"),s=n.paint.get(\"circle-stroke-opacity\"),l=void 0!==n.layout.get(\"circle-sort-key\").constantOr(1);if(0!==a.constantOr(1)||0!==o.constantOr(1)&&0!==s.constantOr(1)){for(var u=e.context,c=u.gl,f=e.depthModeForSublayer(0,Mt.ReadOnly),h=Et.disabled,p=e.colorModeForRenderPass(),d=[],v=0;v<i.length;v++){var g=i[v],y=r.getTile(g),m=y.getBucket(n);if(m){var x=m.programConfigurations.get(n.id),b={programConfiguration:x,program:e.useProgram(\"circle\",x),layoutVertexBuffer:m.layoutVertexBuffer,indexBuffer:m.indexBuffer,uniformValues:Or(e,g,y,n)};if(l)for(var _=0,w=m.segments.get();_<w.length;_+=1){var T=w[_];d.push({segments:new t.SegmentVector([T]),sortKey:T.sortKey,state:b})}else d.push({segments:m.segments,sortKey:0,state:b})}}l&&d.sort((function(t,e){return t.sortKey-e.sortKey}));for(var k=0,A=d;k<A.length;k+=1){var M=A[k],S=M.state,E=S.programConfiguration,L=S.program,C=S.layoutVertexBuffer,P=S.indexBuffer,O=S.uniformValues,I=M.segments;L.draw(u,c.TRIANGLES,f,h,p,Ct.disabled,O,n.id,C,P,I,n.paint,e.transform.zoom,E)}}}},heatmap:function(e,r,n,i){if(0!==n.paint.get(\"heatmap-opacity\"))if(\"offscreen\"===e.renderPass){var a=e.context,o=a.gl,s=Et.disabled,l=new Lt([o.ONE,o.ONE],t.Color.transparent,[!0,!0,!0,!0]);(function(t,e,r){var n=t.gl;t.activeTexture.set(n.TEXTURE1),t.viewport.set([0,0,e.width/4,e.height/4]);var i=r.heatmapFbo;if(i)n.bindTexture(n.TEXTURE_2D,i.colorAttachment.get()),t.bindFramebuffer.set(i.framebuffer);else{var a=n.createTexture();n.bindTexture(n.TEXTURE_2D,a),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_S,n.CLAMP_TO_EDGE),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_T,n.CLAMP_TO_EDGE),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MIN_FILTER,n.LINEAR),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MAG_FILTER,n.LINEAR),i=r.heatmapFbo=t.createFramebuffer(e.width/4,e.height/4,!1),function(t,e,r,n){var i=t.gl,a=t.extRenderToTextureHalfFloat?t.extTextureHalfFloat.HALF_FLOAT_OES:i.UNSIGNED_BYTE;i.texImage2D(i.TEXTURE_2D,0,i.RGBA,e.width/4,e.height/4,0,i.RGBA,a,null),n.colorAttachment.set(r)}(t,e,a,i)}})(a,e,n),a.clear({color:t.Color.transparent});for(var u=0;u<i.length;u++){var c=i[u];if(!r.hasRenderableParent(c)){var f=r.getTile(c),h=f.getBucket(n);if(h){var p=h.programConfigurations.get(n.id),d=e.useProgram(\"heatmap\",p),v=e.transform.zoom;d.draw(a,o.TRIANGLES,Mt.disabled,s,l,Ct.disabled,Fr(c.posMatrix,f,v,n.paint.get(\"heatmap-intensity\")),n.id,h.layoutVertexBuffer,h.indexBuffer,h.segments,n.paint,e.transform.zoom,p)}}}a.viewport.set([0,0,e.width,e.height])}else\"translucent\"===e.renderPass&&(e.context.setColorMode(e.colorModeForRenderPass()),function(e,r){var n=e.context,i=n.gl,a=r.heatmapFbo;if(a){n.activeTexture.set(i.TEXTURE0),i.bindTexture(i.TEXTURE_2D,a.colorAttachment.get()),n.activeTexture.set(i.TEXTURE1);var o=r.colorRampTexture;o||(o=r.colorRampTexture=new t.Texture(n,r.colorRamp,i.RGBA)),o.bind(i.LINEAR,i.CLAMP_TO_EDGE),e.useProgram(\"heatmapTexture\").draw(n,i.TRIANGLES,Mt.disabled,Et.disabled,e.colorModeForRenderPass(),Ct.disabled,Br(e,r,0,1),r.id,e.viewportBuffer,e.quadTriangleIndexBuffer,e.viewportSegments,r.paint,e.transform.zoom)}}(e,n))},line:function(e,r,n,i){if(\"translucent\"===e.renderPass){var a=n.paint.get(\"line-opacity\"),o=n.paint.get(\"line-width\");if(0!==a.constantOr(1)&&0!==o.constantOr(1)){var s=e.depthModeForSublayer(0,Mt.ReadOnly),l=e.colorModeForRenderPass(),u=n.paint.get(\"line-dasharray\"),c=n.paint.get(\"line-pattern\"),f=c.constantOr(1),h=n.paint.get(\"line-gradient\"),p=n.getCrossfadeParameters(),d=f?\"linePattern\":u?\"lineSDF\":h?\"lineGradient\":\"line\",v=e.context,g=v.gl,y=!0;if(h){v.activeTexture.set(g.TEXTURE0);var m=n.gradientTexture;if(!n.gradient)return;m||(m=n.gradientTexture=new t.Texture(v,n.gradient,g.RGBA)),m.bind(g.LINEAR,g.CLAMP_TO_EDGE)}for(var x=0,b=i;x<b.length;x+=1){var _=b[x],w=r.getTile(_);if(!f||w.patternsLoaded()){var T=w.getBucket(n);if(T){var k=T.programConfigurations.get(n.id),A=e.context.program.get(),M=e.useProgram(d,k),S=y||M.program!==A,E=c.constantOr(null);if(E&&w.imageAtlas){var L=w.imageAtlas,C=L.patternPositions[E.to.toString()],P=L.patternPositions[E.from.toString()];C&&P&&k.setConstantPatternPositions(C,P)}var O=f?Hr(e,w,n,p):u?qr(e,w,n,u,p):h?Vr(e,w,n):Ur(e,w,n);f?(v.activeTexture.set(g.TEXTURE0),w.imageAtlasTexture.bind(g.LINEAR,g.CLAMP_TO_EDGE),k.updatePaintBuffers(p)):u&&(S||e.lineAtlas.dirty)&&(v.activeTexture.set(g.TEXTURE0),e.lineAtlas.bind(v)),M.draw(v,g.TRIANGLES,s,e.stencilModeForClipping(_),l,Ct.disabled,O,n.id,T.layoutVertexBuffer,T.indexBuffer,T.segments,n.paint,e.transform.zoom,k),y=!1}}}}}},fill:function(e,r,n,i){var a=n.paint.get(\"fill-color\"),o=n.paint.get(\"fill-opacity\");if(0!==o.constantOr(1)){var s=e.colorModeForRenderPass(),l=n.paint.get(\"fill-pattern\"),u=e.opaquePassEnabledForLayer()&&!l.constantOr(1)&&1===a.constantOr(t.Color.transparent).a&&1===o.constantOr(0)?\"opaque\":\"translucent\";if(e.renderPass===u){var c=e.depthModeForSublayer(1,\"opaque\"===e.renderPass?Mt.ReadWrite:Mt.ReadOnly);cn(e,r,n,i,c,s,!1)}if(\"translucent\"===e.renderPass&&n.paint.get(\"fill-antialias\")){var f=e.depthModeForSublayer(n.getPaintProperty(\"fill-outline-color\")?2:0,Mt.ReadOnly);cn(e,r,n,i,f,s,!0)}}},\"fill-extrusion\":function(t,e,r,n){var i=r.paint.get(\"fill-extrusion-opacity\");if(0!==i&&\"translucent\"===t.renderPass){var a=new Mt(t.context.gl.LEQUAL,Mt.ReadWrite,t.depthRangeFor3D);if(1!==i||r.paint.get(\"fill-extrusion-pattern\").constantOr(1))fn(t,e,r,n,a,Et.disabled,Lt.disabled),fn(t,e,r,n,a,t.stencilModeFor3D(),t.colorModeForRenderPass());else{var o=t.colorModeForRenderPass();fn(t,e,r,n,a,Et.disabled,o)}}},hillshade:function(t,e,r,n){if(\"offscreen\"===t.renderPass||\"translucent\"===t.renderPass){for(var i=t.context,a=e.getSource().maxzoom,o=t.depthModeForSublayer(0,Mt.ReadOnly),s=t.colorModeForRenderPass(),l=\"translucent\"===t.renderPass?t.stencilConfigForOverlap(n):[{},n],u=l[0],c=0,f=l[1];c<f.length;c+=1){var h=f[c],p=e.getTile(h);p.needsHillshadePrepare&&\"offscreen\"===t.renderPass?pn(t,p,r,a,o,Et.disabled,s):\"translucent\"===t.renderPass&&hn(t,p,r,o,u[h.overscaledZ],s)}i.viewport.set([0,0,t.width,t.height])}},raster:function(t,e,r,n){if(\"translucent\"===t.renderPass&&0!==r.paint.get(\"raster-opacity\")&&n.length)for(var i=t.context,a=i.gl,o=e.getSource(),s=t.useProgram(\"raster\"),l=t.colorModeForRenderPass(),u=o instanceof I?[{},n]:t.stencilConfigForOverlap(n),c=u[0],f=u[1],h=f[f.length-1].overscaledZ,p=!t.options.moving,d=0,v=f;d<v.length;d+=1){var g=v[d],y=t.depthModeForSublayer(g.overscaledZ-h,1===r.paint.get(\"raster-opacity\")?Mt.ReadWrite:Mt.ReadOnly,a.LESS),m=e.getTile(g),x=t.transform.calculatePosMatrix(g.toUnwrapped(),p);m.registerFadeDuration(r.paint.get(\"raster-fade-duration\"));var b=e.findLoadedParent(g,0),_=dn(m,b,e,r,t.transform),w=void 0,T=void 0,k=\"nearest\"===r.paint.get(\"raster-resampling\")?a.NEAREST:a.LINEAR;i.activeTexture.set(a.TEXTURE0),m.texture.bind(k,a.CLAMP_TO_EDGE,a.LINEAR_MIPMAP_NEAREST),i.activeTexture.set(a.TEXTURE1),b?(b.texture.bind(k,a.CLAMP_TO_EDGE,a.LINEAR_MIPMAP_NEAREST),w=Math.pow(2,b.tileID.overscaledZ-m.tileID.overscaledZ),T=[m.tileID.canonical.x*w%1,m.tileID.canonical.y*w%1]):m.texture.bind(k,a.CLAMP_TO_EDGE,a.LINEAR_MIPMAP_NEAREST);var A=Yr(x,T||[0,0],w||1,_,r);o instanceof I?s.draw(i,a.TRIANGLES,y,Et.disabled,l,Ct.disabled,A,r.id,o.boundsBuffer,t.quadTriangleIndexBuffer,o.boundsSegments):s.draw(i,a.TRIANGLES,y,c[g.overscaledZ],l,Ct.disabled,A,r.id,t.rasterBoundsBuffer,t.quadTriangleIndexBuffer,t.rasterBoundsSegments)}},background:function(t,e,r){var n=r.paint.get(\"background-color\"),i=r.paint.get(\"background-opacity\");if(0!==i){var a=t.context,o=a.gl,s=t.transform,l=s.tileSize,u=r.paint.get(\"background-pattern\");if(!t.isPatternMissing(u)){var c=!u&&1===n.a&&1===i&&t.opaquePassEnabledForLayer()?\"opaque\":\"translucent\";if(t.renderPass===c){var f=Et.disabled,h=t.depthModeForSublayer(0,\"opaque\"===c?Mt.ReadWrite:Mt.ReadOnly),p=t.colorModeForRenderPass(),d=t.useProgram(u?\"backgroundPattern\":\"background\"),v=s.coveringTiles({tileSize:l});u&&(a.activeTexture.set(o.TEXTURE0),t.imageManager.bind(t.context));for(var g=r.getCrossfadeParameters(),y=0,m=v;y<m.length;y+=1){var x=m[y],b=t.transform.calculatePosMatrix(x.toUnwrapped()),_=u?tn(b,i,t,u,{tileID:x,tileSize:l},g):Qr(b,i,n);d.draw(a,o.TRIANGLES,h,f,p,Ct.disabled,_,r.id,t.tileExtentBuffer,t.quadTriangleIndexBuffer,t.tileExtentSegments)}}}}},debug:function(t,e,r){for(var n=0;n<r.length;n++)kn(t,e,r[n])},custom:function(t,e,r){var n=t.context,i=r.implementation;if(\"offscreen\"===t.renderPass){var a=i.prerender;a&&(t.setCustomLayerDefaults(),n.setColorMode(t.colorModeForRenderPass()),a.call(i,n.gl,t.transform.customLayerMatrix()),n.setDirty(),t.setBaseState())}else if(\"translucent\"===t.renderPass){t.setCustomLayerDefaults(),n.setColorMode(t.colorModeForRenderPass()),n.setStencilMode(Et.disabled);var o=\"3d\"===i.renderingMode?new Mt(t.context.gl.LEQUAL,Mt.ReadWrite,t.depthRangeFor3D):t.depthModeForSublayer(0,Mt.ReadOnly);n.setDepthMode(o),i.render(n.gl,t.transform.customLayerMatrix()),n.setDirty(),t.setBaseState(),n.bindFramebuffer.set(null)}}},Mn=function(t,e){this.context=new Pt(t),this.transform=e,this._tileTextures={},this.setup(),this.numSublayers=Ot.maxUnderzooming+Ot.maxOverzooming+1,this.depthEpsilon=1/Math.pow(2,16),this.crossTileSymbolIndex=new Ve,this.gpuTimers={}};Mn.prototype.resize=function(e,r){if(this.width=e*t.browser.devicePixelRatio,this.height=r*t.browser.devicePixelRatio,this.context.viewport.set([0,0,this.width,this.height]),this.style)for(var n=0,i=this.style._order;n<i.length;n+=1){var a=i[n];this.style._layers[a].resize()}},Mn.prototype.setup=function(){var e=this.context,r=new t.StructArrayLayout2i4;r.emplaceBack(0,0),r.emplaceBack(t.EXTENT,0),r.emplaceBack(0,t.EXTENT),r.emplaceBack(t.EXTENT,t.EXTENT),this.tileExtentBuffer=e.createVertexBuffer(r,We.members),this.tileExtentSegments=t.SegmentVector.simpleSegment(0,0,4,2);var n=new t.StructArrayLayout2i4;n.emplaceBack(0,0),n.emplaceBack(t.EXTENT,0),n.emplaceBack(0,t.EXTENT),n.emplaceBack(t.EXTENT,t.EXTENT),this.debugBuffer=e.createVertexBuffer(n,We.members),this.debugSegments=t.SegmentVector.simpleSegment(0,0,4,5);var i=new t.StructArrayLayout4i8;i.emplaceBack(0,0,0,0),i.emplaceBack(t.EXTENT,0,t.EXTENT,0),i.emplaceBack(0,t.EXTENT,0,t.EXTENT),i.emplaceBack(t.EXTENT,t.EXTENT,t.EXTENT,t.EXTENT),this.rasterBoundsBuffer=e.createVertexBuffer(i,O.members),this.rasterBoundsSegments=t.SegmentVector.simpleSegment(0,0,4,2);var a=new t.StructArrayLayout2i4;a.emplaceBack(0,0),a.emplaceBack(1,0),a.emplaceBack(0,1),a.emplaceBack(1,1),this.viewportBuffer=e.createVertexBuffer(a,We.members),this.viewportSegments=t.SegmentVector.simpleSegment(0,0,4,2);var o=new t.StructArrayLayout1ui2;o.emplaceBack(0),o.emplaceBack(1),o.emplaceBack(3),o.emplaceBack(2),o.emplaceBack(0),this.tileBorderIndexBuffer=e.createIndexBuffer(o);var s=new t.StructArrayLayout3ui6;s.emplaceBack(0,1,2),s.emplaceBack(2,1,3),this.quadTriangleIndexBuffer=e.createIndexBuffer(s),this.emptyTexture=new t.Texture(e,{width:1,height:1,data:new Uint8Array([0,0,0,0])},e.gl.RGBA);var l=this.context.gl;this.stencilClearMode=new Et({func:l.ALWAYS,mask:0},0,255,l.ZERO,l.ZERO,l.ZERO)},Mn.prototype.clearStencil=function(){var e=this.context,r=e.gl;this.nextStencilID=1,this.currentStencilSource=void 0;var n=t.create();t.ortho(n,0,this.width,this.height,0,0,1),t.scale(n,n,[r.drawingBufferWidth,r.drawingBufferHeight,0]),this.useProgram(\"clippingMask\").draw(e,r.TRIANGLES,Mt.disabled,this.stencilClearMode,Lt.disabled,Ct.disabled,Rr(n),\"$clipping\",this.viewportBuffer,this.quadTriangleIndexBuffer,this.viewportSegments)},Mn.prototype._renderTileClippingMasks=function(t,e){if(this.currentStencilSource!==t.source&&t.isTileClipped()&&e&&e.length){this.currentStencilSource=t.source;var r=this.context,n=r.gl;this.nextStencilID+e.length>256&&this.clearStencil(),r.setColorMode(Lt.disabled),r.setDepthMode(Mt.disabled);var i=this.useProgram(\"clippingMask\");this._tileClippingMaskIDs={};for(var a=0,o=e;a<o.length;a+=1){var s=o[a],l=this._tileClippingMaskIDs[s.key]=this.nextStencilID++;i.draw(r,n.TRIANGLES,Mt.disabled,new Et({func:n.ALWAYS,mask:0},l,255,n.KEEP,n.KEEP,n.REPLACE),Lt.disabled,Ct.disabled,Rr(s.posMatrix),\"$clipping\",this.tileExtentBuffer,this.quadTriangleIndexBuffer,this.tileExtentSegments)}}},Mn.prototype.stencilModeFor3D=function(){this.currentStencilSource=void 0,this.nextStencilID+1>256&&this.clearStencil();var t=this.nextStencilID++,e=this.context.gl;return new Et({func:e.NOTEQUAL,mask:255},t,255,e.KEEP,e.KEEP,e.REPLACE)},Mn.prototype.stencilModeForClipping=function(t){var e=this.context.gl;return new Et({func:e.EQUAL,mask:255},this._tileClippingMaskIDs[t.key],0,e.KEEP,e.KEEP,e.REPLACE)},Mn.prototype.stencilConfigForOverlap=function(t){var e,r=this.context.gl,n=t.sort((function(t,e){return e.overscaledZ-t.overscaledZ})),i=n[n.length-1].overscaledZ,a=n[0].overscaledZ-i+1;if(a>1){this.currentStencilSource=void 0,this.nextStencilID+a>256&&this.clearStencil();for(var o={},s=0;s<a;s++)o[s+i]=new Et({func:r.GEQUAL,mask:255},s+this.nextStencilID,255,r.KEEP,r.KEEP,r.REPLACE);return this.nextStencilID+=a,[o,n]}return[(e={},e[i]=Et.disabled,e),n]},Mn.prototype.colorModeForRenderPass=function(){var e=this.context.gl;if(this._showOverdrawInspector){var r=1/8;return new Lt([e.CONSTANT_COLOR,e.ONE],new t.Color(r,r,r,0),[!0,!0,!0,!0])}return\"opaque\"===this.renderPass?Lt.unblended:Lt.alphaBlended},Mn.prototype.depthModeForSublayer=function(t,e,r){if(!this.opaquePassEnabledForLayer())return Mt.disabled;var n=1-((1+this.currentLayer)*this.numSublayers+t)*this.depthEpsilon;return new Mt(r||this.context.gl.LEQUAL,e,[n,n])},Mn.prototype.opaquePassEnabledForLayer=function(){return this.currentLayer<this.opaquePassCutoff},Mn.prototype.render=function(e,r){var n=this;this.style=e,this.options=r,this.lineAtlas=e.lineAtlas,this.imageManager=e.imageManager,this.glyphManager=e.glyphManager,this.symbolFadeChange=e.placement.symbolFadeChange(t.browser.now()),this.imageManager.beginFrame();var i=this.style._order,a=this.style.sourceCaches;for(var o in a){var s=a[o];s.used&&s.prepare(this.context)}var l,u,c={},f={},h={};for(var p in a){var d=a[p];c[p]=d.getVisibleCoordinates(),f[p]=c[p].slice().reverse(),h[p]=d.getVisibleCoordinates(!0).reverse()}this.opaquePassCutoff=1/0;for(var v=0;v<i.length;v++){var g=i[v];if(this.style._layers[g].is3D()){this.opaquePassCutoff=v;break}}this.renderPass=\"offscreen\";for(var y=0,m=i;y<m.length;y+=1){var x=m[y],b=this.style._layers[x];if(b.hasOffscreenPass()&&!b.isHidden(this.transform.zoom)){var _=f[b.source];(\"custom\"===b.type||_.length)&&this.renderLayer(this,a[b.source],b,_)}}for(this.context.bindFramebuffer.set(null),this.context.clear({color:r.showOverdrawInspector?t.Color.black:t.Color.transparent,depth:1}),this.clearStencil(),this._showOverdrawInspector=r.showOverdrawInspector,this.depthRangeFor3D=[0,1-(e._order.length+2)*this.numSublayers*this.depthEpsilon],this.renderPass=\"opaque\",this.currentLayer=i.length-1;this.currentLayer>=0;this.currentLayer--){var w=this.style._layers[i[this.currentLayer]],T=a[w.source],k=c[w.source];this._renderTileClippingMasks(w,k),this.renderLayer(this,T,w,k)}for(this.renderPass=\"translucent\",this.currentLayer=0;this.currentLayer<i.length;this.currentLayer++){var A=this.style._layers[i[this.currentLayer]],M=a[A.source],S=(\"symbol\"===A.type?h:f)[A.source];this._renderTileClippingMasks(A,c[A.source]),this.renderLayer(this,M,A,S)}this.options.showTileBoundaries&&(t.values(this.style._layers).forEach((function(t){t.source&&!t.isHidden(n.transform.zoom)&&(t.source!==(u&&u.id)&&(u=n.style.sourceCaches[t.source]),(!l||l.getSource().maxzoom<u.getSource().maxzoom)&&(l=u))})),l&&An.debug(this,l,l.getVisibleCoordinates())),this.options.showPadding&&bn(this),this.context.setDefault()},Mn.prototype.renderLayer=function(t,e,r,n){r.isHidden(this.transform.zoom)||(\"background\"===r.type||\"custom\"===r.type||n.length)&&(this.id=r.id,this.gpuTimingStart(r),An[r.type](t,e,r,n,this.style.placement.variableOffsets),this.gpuTimingEnd())},Mn.prototype.gpuTimingStart=function(t){if(this.options.gpuTiming){var e=this.context.extTimerQuery,r=this.gpuTimers[t.id];r||(r=this.gpuTimers[t.id]={calls:0,cpuTime:0,query:e.createQueryEXT()}),r.calls++,e.beginQueryEXT(e.TIME_ELAPSED_EXT,r.query)}},Mn.prototype.gpuTimingEnd=function(){if(this.options.gpuTiming){var t=this.context.extTimerQuery;t.endQueryEXT(t.TIME_ELAPSED_EXT)}},Mn.prototype.collectGpuTimers=function(){var t=this.gpuTimers;return this.gpuTimers={},t},Mn.prototype.queryGpuTimers=function(t){var e={};for(var r in t){var n=t[r],i=this.context.extTimerQuery,a=i.getQueryObjectEXT(n.query,i.QUERY_RESULT_EXT)/1e6;i.deleteQueryEXT(n.query),e[r]=a}return e},Mn.prototype.translatePosMatrix=function(e,r,n,i,a){if(!n[0]&&!n[1])return e;var o=a?\"map\"===i?this.transform.angle:0:\"viewport\"===i?-this.transform.angle:0;if(o){var s=Math.sin(o),l=Math.cos(o);n=[n[0]*l-n[1]*s,n[0]*s+n[1]*l]}var u=[a?n[0]:ge(r,n[0],this.transform.zoom),a?n[1]:ge(r,n[1],this.transform.zoom),0],c=new Float32Array(16);return t.translate(c,e,u),c},Mn.prototype.saveTileTexture=function(t){var e=this._tileTextures[t.size[0]];e?e.push(t):this._tileTextures[t.size[0]]=[t]},Mn.prototype.getTileTexture=function(t){var e=this._tileTextures[t];return e&&e.length>0?e.pop():null},Mn.prototype.isPatternMissing=function(t){if(!t)return!1;if(!t.from||!t.to)return!0;var e=this.imageManager.getPattern(t.from.toString()),r=this.imageManager.getPattern(t.to.toString());return!e||!r},Mn.prototype.useProgram=function(t,e){this.cache=this.cache||{};var r=\"\"+t+(e?e.cacheKey:\"\")+(this._showOverdrawInspector?\"/overdraw\":\"\");return this.cache[r]||(this.cache[r]=new kr(this.context,wr[t],e,en[t],this._showOverdrawInspector)),this.cache[r]},Mn.prototype.setCustomLayerDefaults=function(){this.context.unbindVAO(),this.context.cullFace.setDefault(),this.context.activeTexture.setDefault(),this.context.pixelStoreUnpack.setDefault(),this.context.pixelStoreUnpackPremultiplyAlpha.setDefault(),this.context.pixelStoreUnpackFlipY.setDefault()},Mn.prototype.setBaseState=function(){var t=this.context.gl;this.context.cullFace.set(!1),this.context.viewport.set([0,0,this.width,this.height]),this.context.blendEquation.set(t.FUNC_ADD)},Mn.prototype.initDebugOverlayCanvas=function(){if(null==this.debugOverlayCanvas){this.debugOverlayCanvas=t.window.document.createElement(\"canvas\"),this.debugOverlayCanvas.width=512,this.debugOverlayCanvas.height=512;var e=this.context.gl;this.debugOverlayTexture=new t.Texture(this.context,this.debugOverlayCanvas,e.RGBA)}},Mn.prototype.destroy=function(){this.emptyTexture.destroy(),this.debugOverlayTexture&&this.debugOverlayTexture.destroy()};var Sn=function(t,e){this.points=t,this.planes=e};Sn.fromInvProjectionMatrix=function(e,r,n){var i=Math.pow(2,n),a=[[-1,1,-1,1],[1,1,-1,1],[1,-1,-1,1],[-1,-1,-1,1],[-1,1,1,1],[1,1,1,1],[1,-1,1,1],[-1,-1,1,1]].map((function(r){return t.transformMat4([],r,e)})).map((function(e){return t.scale$1([],e,1/e[3]/r*i)})),o=[[0,1,2],[6,5,4],[0,3,7],[2,1,5],[3,2,6],[0,4,5]].map((function(e){var r=t.sub([],a[e[0]],a[e[1]]),n=t.sub([],a[e[2]],a[e[1]]),i=t.normalize([],t.cross([],r,n)),o=-t.dot(i,a[e[1]]);return i.concat(o)}));return new Sn(a,o)};var En=function(e,r){this.min=e,this.max=r,this.center=t.scale$2([],t.add([],this.min,this.max),.5)};En.prototype.quadrant=function(e){for(var r=[e%2==0,e<2],n=t.clone$2(this.min),i=t.clone$2(this.max),a=0;a<r.length;a++)n[a]=r[a]?this.min[a]:this.center[a],i[a]=r[a]?this.center[a]:this.max[a];return i[2]=this.max[2],new En(n,i)},En.prototype.distanceX=function(t){return Math.max(Math.min(this.max[0],t[0]),this.min[0])-t[0]},En.prototype.distanceY=function(t){return Math.max(Math.min(this.max[1],t[1]),this.min[1])-t[1]},En.prototype.intersects=function(e){for(var r=[[this.min[0],this.min[1],0,1],[this.max[0],this.min[1],0,1],[this.max[0],this.max[1],0,1],[this.min[0],this.max[1],0,1]],n=!0,i=0;i<e.planes.length;i++){for(var a=e.planes[i],o=0,s=0;s<r.length;s++)o+=t.dot$1(a,r[s])>=0;if(0===o)return 0;o!==r.length&&(n=!1)}if(n)return 2;for(var l=0;l<3;l++){for(var u=Number.MAX_VALUE,c=-Number.MAX_VALUE,f=0;f<e.points.length;f++){var h=e.points[f][l]-this.min[l];u=Math.min(u,h),c=Math.max(c,h)}if(c<0||u>this.max[l]-this.min[l])return 0}return 1};var Ln=function(t,e,r,n){if(void 0===t&&(t=0),void 0===e&&(e=0),void 0===r&&(r=0),void 0===n&&(n=0),isNaN(t)||t<0||isNaN(e)||e<0||isNaN(r)||r<0||isNaN(n)||n<0)throw new Error(\"Invalid value for edge-insets, top, bottom, left and right must all be numbers\");this.top=t,this.bottom=e,this.left=r,this.right=n};Ln.prototype.interpolate=function(e,r,n){return null!=r.top&&null!=e.top&&(this.top=t.number(e.top,r.top,n)),null!=r.bottom&&null!=e.bottom&&(this.bottom=t.number(e.bottom,r.bottom,n)),null!=r.left&&null!=e.left&&(this.left=t.number(e.left,r.left,n)),null!=r.right&&null!=e.right&&(this.right=t.number(e.right,r.right,n)),this},Ln.prototype.getCenter=function(e,r){var n=t.clamp((this.left+e-this.right)/2,0,e),i=t.clamp((this.top+r-this.bottom)/2,0,r);return new t.Point(n,i)},Ln.prototype.equals=function(t){return this.top===t.top&&this.bottom===t.bottom&&this.left===t.left&&this.right===t.right},Ln.prototype.clone=function(){return new Ln(this.top,this.bottom,this.left,this.right)},Ln.prototype.toJSON=function(){return{top:this.top,bottom:this.bottom,left:this.left,right:this.right}};var Cn=function(e,r,n,i,a){this.tileSize=512,this.maxValidLatitude=85.051129,this._renderWorldCopies=void 0===a||a,this._minZoom=e||0,this._maxZoom=r||22,this._minPitch=null==n?0:n,this._maxPitch=null==i?60:i,this.setMaxBounds(),this.width=0,this.height=0,this._center=new t.LngLat(0,0),this.zoom=0,this.angle=0,this._fov=.6435011087932844,this._pitch=0,this._unmodified=!0,this._edgeInsets=new Ln,this._posMatrixCache={},this._alignedPosMatrixCache={}},Pn={minZoom:{configurable:!0},maxZoom:{configurable:!0},minPitch:{configurable:!0},maxPitch:{configurable:!0},renderWorldCopies:{configurable:!0},worldSize:{configurable:!0},centerOffset:{configurable:!0},size:{configurable:!0},bearing:{configurable:!0},pitch:{configurable:!0},fov:{configurable:!0},zoom:{configurable:!0},center:{configurable:!0},padding:{configurable:!0},centerPoint:{configurable:!0},unmodified:{configurable:!0},point:{configurable:!0}};Cn.prototype.clone=function(){var t=new Cn(this._minZoom,this._maxZoom,this._minPitch,this.maxPitch,this._renderWorldCopies);return t.tileSize=this.tileSize,t.latRange=this.latRange,t.width=this.width,t.height=this.height,t._center=this._center,t.zoom=this.zoom,t.angle=this.angle,t._fov=this._fov,t._pitch=this._pitch,t._unmodified=this._unmodified,t._edgeInsets=this._edgeInsets.clone(),t._calcMatrices(),t},Pn.minZoom.get=function(){return this._minZoom},Pn.minZoom.set=function(t){this._minZoom!==t&&(this._minZoom=t,this.zoom=Math.max(this.zoom,t))},Pn.maxZoom.get=function(){return this._maxZoom},Pn.maxZoom.set=function(t){this._maxZoom!==t&&(this._maxZoom=t,this.zoom=Math.min(this.zoom,t))},Pn.minPitch.get=function(){return this._minPitch},Pn.minPitch.set=function(t){this._minPitch!==t&&(this._minPitch=t,this.pitch=Math.max(this.pitch,t))},Pn.maxPitch.get=function(){return this._maxPitch},Pn.maxPitch.set=function(t){this._maxPitch!==t&&(this._maxPitch=t,this.pitch=Math.min(this.pitch,t))},Pn.renderWorldCopies.get=function(){return this._renderWorldCopies},Pn.renderWorldCopies.set=function(t){void 0===t?t=!0:null===t&&(t=!1),this._renderWorldCopies=t},Pn.worldSize.get=function(){return this.tileSize*this.scale},Pn.centerOffset.get=function(){return this.centerPoint._sub(this.size._div(2))},Pn.size.get=function(){return new t.Point(this.width,this.height)},Pn.bearing.get=function(){return-this.angle/Math.PI*180},Pn.bearing.set=function(e){var r=-t.wrap(e,-180,180)*Math.PI/180;this.angle!==r&&(this._unmodified=!1,this.angle=r,this._calcMatrices(),this.rotationMatrix=t.create$2(),t.rotate(this.rotationMatrix,this.rotationMatrix,this.angle))},Pn.pitch.get=function(){return this._pitch/Math.PI*180},Pn.pitch.set=function(e){var r=t.clamp(e,this.minPitch,this.maxPitch)/180*Math.PI;this._pitch!==r&&(this._unmodified=!1,this._pitch=r,this._calcMatrices())},Pn.fov.get=function(){return this._fov/Math.PI*180},Pn.fov.set=function(t){t=Math.max(.01,Math.min(60,t)),this._fov!==t&&(this._unmodified=!1,this._fov=t/180*Math.PI,this._calcMatrices())},Pn.zoom.get=function(){return this._zoom},Pn.zoom.set=function(t){var e=Math.min(Math.max(t,this.minZoom),this.maxZoom);this._zoom!==e&&(this._unmodified=!1,this._zoom=e,this.scale=this.zoomScale(e),this.tileZoom=Math.floor(e),this.zoomFraction=e-this.tileZoom,this._constrain(),this._calcMatrices())},Pn.center.get=function(){return this._center},Pn.center.set=function(t){t.lat===this._center.lat&&t.lng===this._center.lng||(this._unmodified=!1,this._center=t,this._constrain(),this._calcMatrices())},Pn.padding.get=function(){return this._edgeInsets.toJSON()},Pn.padding.set=function(t){this._edgeInsets.equals(t)||(this._unmodified=!1,this._edgeInsets.interpolate(this._edgeInsets,t,1),this._calcMatrices())},Pn.centerPoint.get=function(){return this._edgeInsets.getCenter(this.width,this.height)},Cn.prototype.isPaddingEqual=function(t){return this._edgeInsets.equals(t)},Cn.prototype.interpolatePadding=function(t,e,r){this._unmodified=!1,this._edgeInsets.interpolate(t,e,r),this._constrain(),this._calcMatrices()},Cn.prototype.coveringZoomLevel=function(t){var e=(t.roundZoom?Math.round:Math.floor)(this.zoom+this.scaleZoom(this.tileSize/t.tileSize));return Math.max(0,e)},Cn.prototype.getVisibleUnwrappedCoordinates=function(e){var r=[new t.UnwrappedTileID(0,e)];if(this._renderWorldCopies)for(var n=this.pointCoordinate(new t.Point(0,0)),i=this.pointCoordinate(new t.Point(this.width,0)),a=this.pointCoordinate(new t.Point(this.width,this.height)),o=this.pointCoordinate(new t.Point(0,this.height)),s=Math.floor(Math.min(n.x,i.x,a.x,o.x)),l=Math.floor(Math.max(n.x,i.x,a.x,o.x)),u=s-1;u<=l+1;u++)0!==u&&r.push(new t.UnwrappedTileID(u,e));return r},Cn.prototype.coveringTiles=function(e){var r=this.coveringZoomLevel(e),n=r;if(void 0!==e.minzoom&&r<e.minzoom)return[];void 0!==e.maxzoom&&r>e.maxzoom&&(r=e.maxzoom);var i=t.MercatorCoordinate.fromLngLat(this.center),a=Math.pow(2,r),o=[a*i.x,a*i.y,0],s=Sn.fromInvProjectionMatrix(this.invProjMatrix,this.worldSize,r),l=e.minzoom||0;this.pitch<=60&&this._edgeInsets.top<.1&&(l=r);var u=function(t){return{aabb:new En([t*a,0,0],[(t+1)*a,a,0]),zoom:0,x:0,y:0,wrap:t,fullyVisible:!1}},c=[],f=[],h=r,p=e.reparseOverscaled?n:r;if(this._renderWorldCopies)for(var d=1;d<=3;d++)c.push(u(-d)),c.push(u(d));for(c.push(u(0));c.length>0;){var v=c.pop(),g=v.x,y=v.y,m=v.fullyVisible;if(!m){var x=v.aabb.intersects(s);if(0===x)continue;m=2===x}var b=v.aabb.distanceX(o),_=v.aabb.distanceY(o),w=Math.max(Math.abs(b),Math.abs(_)),T=3+(1<<h-v.zoom)-2;if(v.zoom===h||w>T&&v.zoom>=l)f.push({tileID:new t.OverscaledTileID(v.zoom===h?p:v.zoom,v.wrap,v.zoom,g,y),distanceSq:t.sqrLen([o[0]-.5-g,o[1]-.5-y])});else for(var k=0;k<4;k++){var A=(g<<1)+k%2,M=(y<<1)+(k>>1);c.push({aabb:v.aabb.quadrant(k),zoom:v.zoom+1,x:A,y:M,wrap:v.wrap,fullyVisible:m})}}return f.sort((function(t,e){return t.distanceSq-e.distanceSq})).map((function(t){return t.tileID}))},Cn.prototype.resize=function(t,e){this.width=t,this.height=e,this.pixelsToGLUnits=[2/t,-2/e],this._constrain(),this._calcMatrices()},Pn.unmodified.get=function(){return this._unmodified},Cn.prototype.zoomScale=function(t){return Math.pow(2,t)},Cn.prototype.scaleZoom=function(t){return Math.log(t)/Math.LN2},Cn.prototype.project=function(e){var r=t.clamp(e.lat,-this.maxValidLatitude,this.maxValidLatitude);return new t.Point(t.mercatorXfromLng(e.lng)*this.worldSize,t.mercatorYfromLat(r)*this.worldSize)},Cn.prototype.unproject=function(e){return new t.MercatorCoordinate(e.x/this.worldSize,e.y/this.worldSize).toLngLat()},Pn.point.get=function(){return this.project(this.center)},Cn.prototype.setLocationAtPoint=function(e,r){var n=this.pointCoordinate(r),i=this.pointCoordinate(this.centerPoint),a=this.locationCoordinate(e),o=new t.MercatorCoordinate(a.x-(n.x-i.x),a.y-(n.y-i.y));this.center=this.coordinateLocation(o),this._renderWorldCopies&&(this.center=this.center.wrap())},Cn.prototype.locationPoint=function(t){return this.coordinatePoint(this.locationCoordinate(t))},Cn.prototype.pointLocation=function(t){return this.coordinateLocation(this.pointCoordinate(t))},Cn.prototype.locationCoordinate=function(e){return t.MercatorCoordinate.fromLngLat(e)},Cn.prototype.coordinateLocation=function(t){return t.toLngLat()},Cn.prototype.pointCoordinate=function(e){var r=[e.x,e.y,0,1],n=[e.x,e.y,1,1];t.transformMat4(r,r,this.pixelMatrixInverse),t.transformMat4(n,n,this.pixelMatrixInverse);var i=r[3],a=n[3],o=r[0]/i,s=n[0]/a,l=r[1]/i,u=n[1]/a,c=r[2]/i,f=n[2]/a,h=c===f?0:(0-c)/(f-c);return new t.MercatorCoordinate(t.number(o,s,h)/this.worldSize,t.number(l,u,h)/this.worldSize)},Cn.prototype.coordinatePoint=function(e){var r=[e.x*this.worldSize,e.y*this.worldSize,0,1];return t.transformMat4(r,r,this.pixelMatrix),new t.Point(r[0]/r[3],r[1]/r[3])},Cn.prototype.getBounds=function(){return(new t.LngLatBounds).extend(this.pointLocation(new t.Point(0,0))).extend(this.pointLocation(new t.Point(this.width,0))).extend(this.pointLocation(new t.Point(this.width,this.height))).extend(this.pointLocation(new t.Point(0,this.height)))},Cn.prototype.getMaxBounds=function(){return this.latRange&&2===this.latRange.length&&this.lngRange&&2===this.lngRange.length?new t.LngLatBounds([this.lngRange[0],this.latRange[0]],[this.lngRange[1],this.latRange[1]]):null},Cn.prototype.setMaxBounds=function(t){t?(this.lngRange=[t.getWest(),t.getEast()],this.latRange=[t.getSouth(),t.getNorth()],this._constrain()):(this.lngRange=null,this.latRange=[-this.maxValidLatitude,this.maxValidLatitude])},Cn.prototype.calculatePosMatrix=function(e,r){void 0===r&&(r=!1);var n=e.key,i=r?this._alignedPosMatrixCache:this._posMatrixCache;if(i[n])return i[n];var a=e.canonical,o=this.worldSize/this.zoomScale(a.z),s=a.x+Math.pow(2,a.z)*e.wrap,l=t.identity(new Float64Array(16));return t.translate(l,l,[s*o,a.y*o,0]),t.scale(l,l,[o/t.EXTENT,o/t.EXTENT,1]),t.multiply(l,r?this.alignedProjMatrix:this.projMatrix,l),i[n]=new Float32Array(l),i[n]},Cn.prototype.customLayerMatrix=function(){return this.mercatorMatrix.slice()},Cn.prototype._constrain=function(){if(this.center&&this.width&&this.height&&!this._constraining){this._constraining=!0;var e,r,n,i,a=-90,o=90,s=-180,l=180,u=this.size,c=this._unmodified;if(this.latRange){var f=this.latRange;a=t.mercatorYfromLat(f[1])*this.worldSize,e=(o=t.mercatorYfromLat(f[0])*this.worldSize)-a<u.y?u.y/(o-a):0}if(this.lngRange){var h=this.lngRange;s=t.mercatorXfromLng(h[0])*this.worldSize,r=(l=t.mercatorXfromLng(h[1])*this.worldSize)-s<u.x?u.x/(l-s):0}var p=this.point,d=Math.max(r||0,e||0);if(d)return this.center=this.unproject(new t.Point(r?(l+s)/2:p.x,e?(o+a)/2:p.y)),this.zoom+=this.scaleZoom(d),this._unmodified=c,void(this._constraining=!1);if(this.latRange){var v=p.y,g=u.y/2;v-g<a&&(i=a+g),v+g>o&&(i=o-g)}if(this.lngRange){var y=p.x,m=u.x/2;y-m<s&&(n=s+m),y+m>l&&(n=l-m)}void 0===n&&void 0===i||(this.center=this.unproject(new t.Point(void 0!==n?n:p.x,void 0!==i?i:p.y))),this._unmodified=c,this._constraining=!1}},Cn.prototype._calcMatrices=function(){if(this.height){var e=this._fov/2,r=this.centerOffset;this.cameraToCenterDistance=.5/Math.tan(e)*this.height;var n=Math.PI/2+this._pitch,i=this._fov*(.5+r.y/this.height),a=Math.sin(i)*this.cameraToCenterDistance/Math.sin(t.clamp(Math.PI-n-i,.01,Math.PI-.01)),o=this.point,s=o.x,l=o.y,u=1.01*(Math.cos(Math.PI/2-this._pitch)*a+this.cameraToCenterDistance),c=this.height/50,f=new Float64Array(16);t.perspective(f,this._fov,this.width/this.height,c,u),f[8]=2*-r.x/this.width,f[9]=2*r.y/this.height,t.scale(f,f,[1,-1,1]),t.translate(f,f,[0,0,-this.cameraToCenterDistance]),t.rotateX(f,f,this._pitch),t.rotateZ(f,f,this.angle),t.translate(f,f,[-s,-l,0]),this.mercatorMatrix=t.scale([],f,[this.worldSize,this.worldSize,this.worldSize]),t.scale(f,f,[1,1,t.mercatorZfromAltitude(1,this.center.lat)*this.worldSize,1]),this.projMatrix=f,this.invProjMatrix=t.invert([],this.projMatrix);var h=this.width%2/2,p=this.height%2/2,d=Math.cos(this.angle),v=Math.sin(this.angle),g=s-Math.round(s)+d*h+v*p,y=l-Math.round(l)+d*p+v*h,m=new Float64Array(f);if(t.translate(m,m,[g>.5?g-1:g,y>.5?y-1:y,0]),this.alignedProjMatrix=m,f=t.create(),t.scale(f,f,[this.width/2,-this.height/2,1]),t.translate(f,f,[1,-1,0]),this.labelPlaneMatrix=f,f=t.create(),t.scale(f,f,[1,-1,1]),t.translate(f,f,[-1,-1,0]),t.scale(f,f,[2/this.width,2/this.height,1]),this.glCoordMatrix=f,this.pixelMatrix=t.multiply(new Float64Array(16),this.labelPlaneMatrix,this.projMatrix),!(f=t.invert(new Float64Array(16),this.pixelMatrix)))throw new Error(\"failed to invert matrix\");this.pixelMatrixInverse=f,this._posMatrixCache={},this._alignedPosMatrixCache={}}},Cn.prototype.maxPitchScaleFactor=function(){if(!this.pixelMatrixInverse)return 1;var e=this.pointCoordinate(new t.Point(0,0)),r=[e.x*this.worldSize,e.y*this.worldSize,0,1];return t.transformMat4(r,r,this.pixelMatrix)[3]/this.cameraToCenterDistance},Cn.prototype.getCameraPoint=function(){var e=this._pitch,r=Math.tan(e)*(this.cameraToCenterDistance||1);return this.centerPoint.add(new t.Point(0,r))},Cn.prototype.getCameraQueryGeometry=function(e){var r=this.getCameraPoint();if(1===e.length)return[e[0],r];for(var n=r.x,i=r.y,a=r.x,o=r.y,s=0,l=e;s<l.length;s+=1){var u=l[s];n=Math.min(n,u.x),i=Math.min(i,u.y),a=Math.max(a,u.x),o=Math.max(o,u.y)}return[new t.Point(n,i),new t.Point(a,i),new t.Point(a,o),new t.Point(n,o),new t.Point(n,i)]},Object.defineProperties(Cn.prototype,Pn);var On=function(e){var r,n,i,a,o;this._hashName=e&&encodeURIComponent(e),t.bindAll([\"_getCurrentHash\",\"_onHashChange\",\"_updateHash\"],this),this._updateHash=(r=this._updateHashUnthrottled.bind(this),n=300,i=!1,a=null,o=function(){a=null,i&&(r(),a=setTimeout(o,n),i=!1)},function(){return i=!0,a||o(),a})};On.prototype.addTo=function(e){return this._map=e,t.window.addEventListener(\"hashchange\",this._onHashChange,!1),this._map.on(\"moveend\",this._updateHash),this},On.prototype.remove=function(){return t.window.removeEventListener(\"hashchange\",this._onHashChange,!1),this._map.off(\"moveend\",this._updateHash),clearTimeout(this._updateHash()),delete this._map,this},On.prototype.getHashString=function(e){var r=this._map.getCenter(),n=Math.round(100*this._map.getZoom())/100,i=Math.ceil((n*Math.LN2+Math.log(512/360/.5))/Math.LN10),a=Math.pow(10,i),o=Math.round(r.lng*a)/a,s=Math.round(r.lat*a)/a,l=this._map.getBearing(),u=this._map.getPitch(),c=\"\";if(c+=e?\"/\"+o+\"/\"+s+\"/\"+n:n+\"/\"+s+\"/\"+o,(l||u)&&(c+=\"/\"+Math.round(10*l)/10),u&&(c+=\"/\"+Math.round(u)),this._hashName){var f=this._hashName,h=!1,p=t.window.location.hash.slice(1).split(\"&\").map((function(t){var e=t.split(\"=\")[0];return e===f?(h=!0,e+\"=\"+c):t})).filter((function(t){return t}));return h||p.push(f+\"=\"+c),\"#\"+p.join(\"&\")}return\"#\"+c},On.prototype._getCurrentHash=function(){var e,r=this,n=t.window.location.hash.replace(\"#\",\"\");return this._hashName?(n.split(\"&\").map((function(t){return t.split(\"=\")})).forEach((function(t){t[0]===r._hashName&&(e=t)})),(e&&e[1]||\"\").split(\"/\")):n.split(\"/\")},On.prototype._onHashChange=function(){var t=this._getCurrentHash();if(t.length>=3&&!t.some((function(t){return isNaN(t)}))){var e=this._map.dragRotate.isEnabled()&&this._map.touchZoomRotate.isEnabled()?+(t[3]||0):this._map.getBearing();return this._map.jumpTo({center:[+t[2],+t[1]],zoom:+t[0],bearing:e,pitch:+(t[4]||0)}),!0}return!1},On.prototype._updateHashUnthrottled=function(){var e=this.getHashString();try{t.window.history.replaceState(t.window.history.state,\"\",e)}catch(t){}};var In={linearity:.3,easing:t.bezier(0,0,.3,1)},Dn=t.extend({deceleration:2500,maxSpeed:1400},In),zn=t.extend({deceleration:20,maxSpeed:1400},In),Rn=t.extend({deceleration:1e3,maxSpeed:360},In),Fn=t.extend({deceleration:1e3,maxSpeed:90},In),Bn=function(t){this._map=t,this.clear()};function Nn(t,e){(!t.duration||t.duration<e.duration)&&(t.duration=e.duration,t.easing=e.easing)}function jn(e,r,n){var i=n.maxSpeed,a=n.linearity,o=n.deceleration,s=t.clamp(e*a/(r/1e3),-i,i),l=Math.abs(s)/(o*a);return{easing:n.easing,duration:1e3*l,amount:s*(l/2)}}Bn.prototype.clear=function(){this._inertiaBuffer=[]},Bn.prototype.record=function(e){this._drainInertiaBuffer(),this._inertiaBuffer.push({time:t.browser.now(),settings:e})},Bn.prototype._drainInertiaBuffer=function(){for(var e=this._inertiaBuffer,r=t.browser.now();e.length>0&&r-e[0].time>160;)e.shift()},Bn.prototype._onMoveEnd=function(e){if(this._drainInertiaBuffer(),!(this._inertiaBuffer.length<2)){for(var r={zoom:0,bearing:0,pitch:0,pan:new t.Point(0,0),pinchAround:void 0,around:void 0},n=0,i=this._inertiaBuffer;n<i.length;n+=1){var a=i[n].settings;r.zoom+=a.zoomDelta||0,r.bearing+=a.bearingDelta||0,r.pitch+=a.pitchDelta||0,a.panDelta&&r.pan._add(a.panDelta),a.around&&(r.around=a.around),a.pinchAround&&(r.pinchAround=a.pinchAround)}var o=this._inertiaBuffer[this._inertiaBuffer.length-1].time-this._inertiaBuffer[0].time,s={};if(r.pan.mag()){var l=jn(r.pan.mag(),o,t.extend({},Dn,e||{}));s.offset=r.pan.mult(l.amount/r.pan.mag()),s.center=this._map.transform.center,Nn(s,l)}if(r.zoom){var u=jn(r.zoom,o,zn);s.zoom=this._map.transform.zoom+u.amount,Nn(s,u)}if(r.bearing){var c=jn(r.bearing,o,Rn);s.bearing=this._map.transform.bearing+t.clamp(c.amount,-179,179),Nn(s,c)}if(r.pitch){var f=jn(r.pitch,o,Fn);s.pitch=this._map.transform.pitch+f.amount,Nn(s,f)}if(s.zoom||s.bearing){var h=void 0===r.pinchAround?r.around:r.pinchAround;s.around=h?this._map.unproject(h):this._map.getCenter()}return this.clear(),t.extend(s,{noMoveStart:!0})}};var Un=function(e){function n(n,i,a,o){void 0===o&&(o={});var s=r.mousePos(i.getCanvasContainer(),a),l=i.unproject(s);e.call(this,n,t.extend({point:s,lngLat:l,originalEvent:a},o)),this._defaultPrevented=!1,this.target=i}e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n;var i={defaultPrevented:{configurable:!0}};return n.prototype.preventDefault=function(){this._defaultPrevented=!0},i.defaultPrevented.get=function(){return this._defaultPrevented},Object.defineProperties(n.prototype,i),n}(t.Event),Vn=function(e){function n(n,i,a){var o=\"touchend\"===n?a.changedTouches:a.touches,s=r.touchPos(i.getCanvasContainer(),o),l=s.map((function(t){return i.unproject(t)})),u=s.reduce((function(t,e,r,n){return t.add(e.div(n.length))}),new t.Point(0,0)),c=i.unproject(u);e.call(this,n,{points:s,point:u,lngLats:l,lngLat:c,originalEvent:a}),this._defaultPrevented=!1}e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n;var i={defaultPrevented:{configurable:!0}};return n.prototype.preventDefault=function(){this._defaultPrevented=!0},i.defaultPrevented.get=function(){return this._defaultPrevented},Object.defineProperties(n.prototype,i),n}(t.Event),Hn=function(t){function e(e,r,n){t.call(this,e,{originalEvent:n}),this._defaultPrevented=!1}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var r={defaultPrevented:{configurable:!0}};return e.prototype.preventDefault=function(){this._defaultPrevented=!0},r.defaultPrevented.get=function(){return this._defaultPrevented},Object.defineProperties(e.prototype,r),e}(t.Event),qn=function(t,e){this._map=t,this._clickTolerance=e.clickTolerance};qn.prototype.reset=function(){delete this._mousedownPos},qn.prototype.wheel=function(t){return this._firePreventable(new Hn(t.type,this._map,t))},qn.prototype.mousedown=function(t,e){return this._mousedownPos=e,this._firePreventable(new Un(t.type,this._map,t))},qn.prototype.mouseup=function(t){this._map.fire(new Un(t.type,this._map,t))},qn.prototype.click=function(t,e){this._mousedownPos&&this._mousedownPos.dist(e)>=this._clickTolerance||this._map.fire(new Un(t.type,this._map,t))},qn.prototype.dblclick=function(t){return this._firePreventable(new Un(t.type,this._map,t))},qn.prototype.mouseover=function(t){this._map.fire(new Un(t.type,this._map,t))},qn.prototype.mouseout=function(t){this._map.fire(new Un(t.type,this._map,t))},qn.prototype.touchstart=function(t){return this._firePreventable(new Vn(t.type,this._map,t))},qn.prototype.touchmove=function(t){this._map.fire(new Vn(t.type,this._map,t))},qn.prototype.touchend=function(t){this._map.fire(new Vn(t.type,this._map,t))},qn.prototype.touchcancel=function(t){this._map.fire(new Vn(t.type,this._map,t))},qn.prototype._firePreventable=function(t){if(this._map.fire(t),t.defaultPrevented)return{}},qn.prototype.isEnabled=function(){return!0},qn.prototype.isActive=function(){return!1},qn.prototype.enable=function(){},qn.prototype.disable=function(){};var Gn=function(t){this._map=t};Gn.prototype.reset=function(){this._delayContextMenu=!1,delete this._contextMenuEvent},Gn.prototype.mousemove=function(t){this._map.fire(new Un(t.type,this._map,t))},Gn.prototype.mousedown=function(){this._delayContextMenu=!0},Gn.prototype.mouseup=function(){this._delayContextMenu=!1,this._contextMenuEvent&&(this._map.fire(new Un(\"contextmenu\",this._map,this._contextMenuEvent)),delete this._contextMenuEvent)},Gn.prototype.contextmenu=function(t){this._delayContextMenu?this._contextMenuEvent=t:this._map.fire(new Un(t.type,this._map,t)),this._map.listens(\"contextmenu\")&&t.preventDefault()},Gn.prototype.isEnabled=function(){return!0},Gn.prototype.isActive=function(){return!1},Gn.prototype.enable=function(){},Gn.prototype.disable=function(){};var Zn=function(t,e){this._map=t,this._el=t.getCanvasContainer(),this._container=t.getContainer(),this._clickTolerance=e.clickTolerance||1};function Yn(t,e){for(var r={},n=0;n<t.length;n++)r[t[n].identifier]=e[n];return r}Zn.prototype.isEnabled=function(){return!!this._enabled},Zn.prototype.isActive=function(){return!!this._active},Zn.prototype.enable=function(){this.isEnabled()||(this._enabled=!0)},Zn.prototype.disable=function(){this.isEnabled()&&(this._enabled=!1)},Zn.prototype.mousedown=function(t,e){this.isEnabled()&&t.shiftKey&&0===t.button&&(r.disableDrag(),this._startPos=this._lastPos=e,this._active=!0)},Zn.prototype.mousemoveWindow=function(t,e){if(this._active){var n=e;if(!(this._lastPos.equals(n)||!this._box&&n.dist(this._startPos)<this._clickTolerance)){var i=this._startPos;this._lastPos=n,this._box||(this._box=r.create(\"div\",\"mapboxgl-boxzoom\",this._container),this._container.classList.add(\"mapboxgl-crosshair\"),this._fireEvent(\"boxzoomstart\",t));var a=Math.min(i.x,n.x),o=Math.max(i.x,n.x),s=Math.min(i.y,n.y),l=Math.max(i.y,n.y);r.setTransform(this._box,\"translate(\"+a+\"px,\"+s+\"px)\"),this._box.style.width=o-a+\"px\",this._box.style.height=l-s+\"px\"}}},Zn.prototype.mouseupWindow=function(e,n){var i=this;if(this._active&&0===e.button){var a=this._startPos,o=n;if(this.reset(),r.suppressClick(),a.x!==o.x||a.y!==o.y)return this._map.fire(new t.Event(\"boxzoomend\",{originalEvent:e})),{cameraAnimation:function(t){return t.fitScreenCoordinates(a,o,i._map.getBearing(),{linear:!0})}};this._fireEvent(\"boxzoomcancel\",e)}},Zn.prototype.keydown=function(t){this._active&&27===t.keyCode&&(this.reset(),this._fireEvent(\"boxzoomcancel\",t))},Zn.prototype.reset=function(){this._active=!1,this._container.classList.remove(\"mapboxgl-crosshair\"),this._box&&(r.remove(this._box),this._box=null),r.enableDrag(),delete this._startPos,delete this._lastPos},Zn.prototype._fireEvent=function(e,r){return this._map.fire(new t.Event(e,{originalEvent:r}))};var Wn=function(t){this.reset(),this.numTouches=t.numTouches};Wn.prototype.reset=function(){delete this.centroid,delete this.startTime,delete this.touches,this.aborted=!1},Wn.prototype.touchstart=function(e,r,n){(this.centroid||n.length>this.numTouches)&&(this.aborted=!0),this.aborted||(void 0===this.startTime&&(this.startTime=e.timeStamp),n.length===this.numTouches&&(this.centroid=function(e){for(var r=new t.Point(0,0),n=0,i=e;n<i.length;n+=1){var a=i[n];r._add(a)}return r.div(e.length)}(r),this.touches=Yn(n,r)))},Wn.prototype.touchmove=function(t,e,r){if(!this.aborted&&this.centroid){var n=Yn(r,e);for(var i in this.touches){var a=this.touches[i],o=n[i];(!o||o.dist(a)>30)&&(this.aborted=!0)}}},Wn.prototype.touchend=function(t,e,r){if((!this.centroid||t.timeStamp-this.startTime>500)&&(this.aborted=!0),0===r.length){var n=!this.aborted&&this.centroid;if(this.reset(),n)return n}};var Xn=function(t){this.singleTap=new Wn(t),this.numTaps=t.numTaps,this.reset()};Xn.prototype.reset=function(){this.lastTime=1/0,delete this.lastTap,this.count=0,this.singleTap.reset()},Xn.prototype.touchstart=function(t,e,r){this.singleTap.touchstart(t,e,r)},Xn.prototype.touchmove=function(t,e,r){this.singleTap.touchmove(t,e,r)},Xn.prototype.touchend=function(t,e,r){var n=this.singleTap.touchend(t,e,r);if(n){var i=t.timeStamp-this.lastTime<500,a=!this.lastTap||this.lastTap.dist(n)<30;if(i&&a||this.reset(),this.count++,this.lastTime=t.timeStamp,this.lastTap=n,this.count===this.numTaps)return this.reset(),n}};var Jn=function(){this._zoomIn=new Xn({numTouches:1,numTaps:2}),this._zoomOut=new Xn({numTouches:2,numTaps:1}),this.reset()};Jn.prototype.reset=function(){this._active=!1,this._zoomIn.reset(),this._zoomOut.reset()},Jn.prototype.touchstart=function(t,e,r){this._zoomIn.touchstart(t,e,r),this._zoomOut.touchstart(t,e,r)},Jn.prototype.touchmove=function(t,e,r){this._zoomIn.touchmove(t,e,r),this._zoomOut.touchmove(t,e,r)},Jn.prototype.touchend=function(t,e,r){var n=this,i=this._zoomIn.touchend(t,e,r),a=this._zoomOut.touchend(t,e,r);return i?(this._active=!0,t.preventDefault(),setTimeout((function(){return n.reset()}),0),{cameraAnimation:function(e){return e.easeTo({duration:300,zoom:e.getZoom()+1,around:e.unproject(i)},{originalEvent:t})}}):a?(this._active=!0,t.preventDefault(),setTimeout((function(){return n.reset()}),0),{cameraAnimation:function(e){return e.easeTo({duration:300,zoom:e.getZoom()-1,around:e.unproject(a)},{originalEvent:t})}}):void 0},Jn.prototype.touchcancel=function(){this.reset()},Jn.prototype.enable=function(){this._enabled=!0},Jn.prototype.disable=function(){this._enabled=!1,this.reset()},Jn.prototype.isEnabled=function(){return this._enabled},Jn.prototype.isActive=function(){return this._active};var Kn=function(t){this.reset(),this._clickTolerance=t.clickTolerance||1};Kn.prototype.reset=function(){this._active=!1,this._moved=!1,delete this._lastPoint,delete this._eventButton},Kn.prototype._correctButton=function(t,e){return!1},Kn.prototype._move=function(t,e){return{}},Kn.prototype.mousedown=function(t,e){if(!this._lastPoint){var n=r.mouseButton(t);this._correctButton(t,n)&&(this._lastPoint=e,this._eventButton=n)}},Kn.prototype.mousemoveWindow=function(t,e){var r=this._lastPoint;if(r&&(t.preventDefault(),this._moved||!(e.dist(r)<this._clickTolerance)))return this._moved=!0,this._lastPoint=e,this._move(r,e)},Kn.prototype.mouseupWindow=function(t){r.mouseButton(t)===this._eventButton&&(this._moved&&r.suppressClick(),this.reset())},Kn.prototype.enable=function(){this._enabled=!0},Kn.prototype.disable=function(){this._enabled=!1,this.reset()},Kn.prototype.isEnabled=function(){return this._enabled},Kn.prototype.isActive=function(){return this._active};var $n=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.mousedown=function(e,r){t.prototype.mousedown.call(this,e,r),this._lastPoint&&(this._active=!0)},e.prototype._correctButton=function(t,e){return 0===e&&!t.ctrlKey},e.prototype._move=function(t,e){return{around:e,panDelta:e.sub(t)}},e}(Kn),Qn=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._correctButton=function(t,e){return 0===e&&t.ctrlKey||2===e},e.prototype._move=function(t,e){var r=.8*(e.x-t.x);if(r)return this._active=!0,{bearingDelta:r}},e.prototype.contextmenu=function(t){t.preventDefault()},e}(Kn),ti=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._correctButton=function(t,e){return 0===e&&t.ctrlKey||2===e},e.prototype._move=function(t,e){var r=-.5*(e.y-t.y);if(r)return this._active=!0,{pitchDelta:r}},e.prototype.contextmenu=function(t){t.preventDefault()},e}(Kn),ei=function(t){this._minTouches=1,this._clickTolerance=t.clickTolerance||1,this.reset()};ei.prototype.reset=function(){this._active=!1,this._touches={},this._sum=new t.Point(0,0)},ei.prototype.touchstart=function(t,e,r){return this._calculateTransform(t,e,r)},ei.prototype.touchmove=function(t,e,r){if(this._active)return t.preventDefault(),this._calculateTransform(t,e,r)},ei.prototype.touchend=function(t,e,r){this._calculateTransform(t,e,r),this._active&&r.length<this._minTouches&&this.reset()},ei.prototype.touchcancel=function(){this.reset()},ei.prototype._calculateTransform=function(e,r,n){n.length>0&&(this._active=!0);var i=Yn(n,r),a=new t.Point(0,0),o=new t.Point(0,0),s=0;for(var l in i){var u=i[l],c=this._touches[l];c&&(a._add(u),o._add(u.sub(c)),s++,i[l]=u)}if(this._touches=i,!(s<this._minTouches)&&o.mag()){var f=o.div(s);if(this._sum._add(f),!(this._sum.mag()<this._clickTolerance))return{around:a.div(s),panDelta:f}}},ei.prototype.enable=function(){this._enabled=!0},ei.prototype.disable=function(){this._enabled=!1,this.reset()},ei.prototype.isEnabled=function(){return this._enabled},ei.prototype.isActive=function(){return this._active};var ri=function(){this.reset()};function ni(t,e,r){for(var n=0;n<t.length;n++)if(t[n].identifier===r)return e[n]}ri.prototype.reset=function(){this._active=!1,delete this._firstTwoTouches},ri.prototype._start=function(t){},ri.prototype._move=function(t,e,r){return{}},ri.prototype.touchstart=function(t,e,r){this._firstTwoTouches||r.length<2||(this._firstTwoTouches=[r[0].identifier,r[1].identifier],this._start([e[0],e[1]]))},ri.prototype.touchmove=function(t,e,r){if(this._firstTwoTouches){t.preventDefault();var n=this._firstTwoTouches,i=n[0],a=n[1],o=ni(r,e,i),s=ni(r,e,a);if(o&&s){var l=this._aroundCenter?null:o.add(s).div(2);return this._move([o,s],l,t)}}},ri.prototype.touchend=function(t,e,n){if(this._firstTwoTouches){var i=this._firstTwoTouches,a=i[0],o=i[1],s=ni(n,e,a),l=ni(n,e,o);s&&l||(this._active&&r.suppressClick(),this.reset())}},ri.prototype.touchcancel=function(){this.reset()},ri.prototype.enable=function(t){this._enabled=!0,this._aroundCenter=!!t&&\"center\"===t.around},ri.prototype.disable=function(){this._enabled=!1,this.reset()},ri.prototype.isEnabled=function(){return this._enabled},ri.prototype.isActive=function(){return this._active};function ii(t,e){return Math.log(t/e)/Math.LN2}var ai=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.reset=function(){t.prototype.reset.call(this),delete this._distance,delete this._startDistance},e.prototype._start=function(t){this._startDistance=this._distance=t[0].dist(t[1])},e.prototype._move=function(t,e){var r=this._distance;if(this._distance=t[0].dist(t[1]),this._active||!(Math.abs(ii(this._distance,this._startDistance))<.1))return this._active=!0,{zoomDelta:ii(this._distance,r),pinchAround:e}},e}(ri);function oi(t,e){return 180*t.angleWith(e)/Math.PI}var si=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.reset=function(){t.prototype.reset.call(this),delete this._minDiameter,delete this._startVector,delete this._vector},e.prototype._start=function(t){this._startVector=this._vector=t[0].sub(t[1]),this._minDiameter=t[0].dist(t[1])},e.prototype._move=function(t,e){var r=this._vector;if(this._vector=t[0].sub(t[1]),this._active||!this._isBelowThreshold(this._vector))return this._active=!0,{bearingDelta:oi(this._vector,r),pinchAround:e}},e.prototype._isBelowThreshold=function(t){this._minDiameter=Math.min(this._minDiameter,t.mag());var e=25/(Math.PI*this._minDiameter)*360,r=oi(t,this._startVector);return Math.abs(r)<e},e}(ri);function li(t){return Math.abs(t.y)>Math.abs(t.x)}var ui=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.reset=function(){t.prototype.reset.call(this),this._valid=void 0,delete this._firstMove,delete this._lastPoints},e.prototype._start=function(t){this._lastPoints=t,li(t[0].sub(t[1]))&&(this._valid=!1)},e.prototype._move=function(t,e,r){var n=t[0].sub(this._lastPoints[0]),i=t[1].sub(this._lastPoints[1]);if(this._valid=this.gestureBeginsVertically(n,i,r.timeStamp),this._valid)return this._lastPoints=t,this._active=!0,{pitchDelta:(n.y+i.y)/2*-.5}},e.prototype.gestureBeginsVertically=function(t,e,r){if(void 0!==this._valid)return this._valid;var n=t.mag()>=2,i=e.mag()>=2;if(n||i){if(!n||!i)return void 0===this._firstMove&&(this._firstMove=r),r-this._firstMove<100&&void 0;var a=t.y>0==e.y>0;return li(t)&&li(e)&&a}},e}(ri),ci={panStep:100,bearingStep:15,pitchStep:10},fi=function(){var t=ci;this._panStep=t.panStep,this._bearingStep=t.bearingStep,this._pitchStep=t.pitchStep};function hi(t){return t*(2-t)}fi.prototype.reset=function(){this._active=!1},fi.prototype.keydown=function(t){var e=this;if(!(t.altKey||t.ctrlKey||t.metaKey)){var r=0,n=0,i=0,a=0,o=0;switch(t.keyCode){case 61:case 107:case 171:case 187:r=1;break;case 189:case 109:case 173:r=-1;break;case 37:t.shiftKey?n=-1:(t.preventDefault(),a=-1);break;case 39:t.shiftKey?n=1:(t.preventDefault(),a=1);break;case 38:t.shiftKey?i=1:(t.preventDefault(),o=-1);break;case 40:t.shiftKey?i=-1:(t.preventDefault(),o=1);break;default:return}return{cameraAnimation:function(s){var l=s.getZoom();s.easeTo({duration:300,easeId:\"keyboardHandler\",easing:hi,zoom:r?Math.round(l)+r*(t.shiftKey?2:1):l,bearing:s.getBearing()+n*e._bearingStep,pitch:s.getPitch()+i*e._pitchStep,offset:[-a*e._panStep,-o*e._panStep],center:s.getCenter()},{originalEvent:t})}}}},fi.prototype.enable=function(){this._enabled=!0},fi.prototype.disable=function(){this._enabled=!1,this.reset()},fi.prototype.isEnabled=function(){return this._enabled},fi.prototype.isActive=function(){return this._active};var pi=4.000244140625,di=function(e,r){this._map=e,this._el=e.getCanvasContainer(),this._handler=r,this._delta=0,this._defaultZoomRate=.01,this._wheelZoomRate=.0022222222222222222,t.bindAll([\"_onWheel\",\"_onTimeout\",\"_onScrollFrame\",\"_onScrollFinished\"],this)};di.prototype.setZoomRate=function(t){this._defaultZoomRate=t},di.prototype.setWheelZoomRate=function(t){this._wheelZoomRate=t},di.prototype.isEnabled=function(){return!!this._enabled},di.prototype.isActive=function(){return!!this._active||void 0!==this._finishTimeout},di.prototype.isZooming=function(){return!!this._zooming},di.prototype.enable=function(t){this.isEnabled()||(this._enabled=!0,this._aroundCenter=t&&\"center\"===t.around)},di.prototype.disable=function(){this.isEnabled()&&(this._enabled=!1)},di.prototype.wheel=function(e){if(this.isEnabled()){var r=e.deltaMode===t.window.WheelEvent.DOM_DELTA_LINE?40*e.deltaY:e.deltaY,n=t.browser.now(),i=n-(this._lastWheelEventTime||0);this._lastWheelEventTime=n,0!==r&&r%pi==0?this._type=\"wheel\":0!==r&&Math.abs(r)<4?this._type=\"trackpad\":i>400?(this._type=null,this._lastValue=r,this._timeout=setTimeout(this._onTimeout,40,e)):this._type||(this._type=Math.abs(i*r)<200?\"trackpad\":\"wheel\",this._timeout&&(clearTimeout(this._timeout),this._timeout=null,r+=this._lastValue)),e.shiftKey&&r&&(r/=4),this._type&&(this._lastWheelEvent=e,this._delta-=r,this._active||this._start(e)),e.preventDefault()}},di.prototype._onTimeout=function(t){this._type=\"wheel\",this._delta-=this._lastValue,this._active||this._start(t)},di.prototype._start=function(e){if(this._delta){this._frameId&&(this._frameId=null),this._active=!0,this.isZooming()||(this._zooming=!0),this._finishTimeout&&(clearTimeout(this._finishTimeout),delete this._finishTimeout);var n=r.mousePos(this._el,e);this._around=t.LngLat.convert(this._aroundCenter?this._map.getCenter():this._map.unproject(n)),this._aroundPoint=this._map.transform.locationPoint(this._around),this._frameId||(this._frameId=!0,this._handler._triggerRenderFrame())}},di.prototype.renderFrame=function(){return this._onScrollFrame()},di.prototype._onScrollFrame=function(){var e=this;if(this._frameId&&(this._frameId=null,this.isActive())){var r=this._map.transform;if(0!==this._delta){var n=\"wheel\"===this._type&&Math.abs(this._delta)>pi?this._wheelZoomRate:this._defaultZoomRate,i=2/(1+Math.exp(-Math.abs(this._delta*n)));this._delta<0&&0!==i&&(i=1/i);var a=\"number\"==typeof this._targetZoom?r.zoomScale(this._targetZoom):r.scale;this._targetZoom=Math.min(r.maxZoom,Math.max(r.minZoom,r.scaleZoom(a*i))),\"wheel\"===this._type&&(this._startZoom=r.zoom,this._easing=this._smoothOutEasing(200)),this._delta=0}var o,s=\"number\"==typeof this._targetZoom?this._targetZoom:r.zoom,l=this._startZoom,u=this._easing,c=!1;if(\"wheel\"===this._type&&l&&u){var f=Math.min((t.browser.now()-this._lastWheelEventTime)/200,1),h=u(f);o=t.number(l,s,h),f<1?this._frameId||(this._frameId=!0):c=!0}else o=s,c=!0;return this._active=!0,c&&(this._active=!1,this._finishTimeout=setTimeout((function(){e._zooming=!1,e._handler._triggerRenderFrame(),delete e._targetZoom,delete e._finishTimeout}),200)),{noInertia:!0,needsRenderFrame:!c,zoomDelta:o-r.zoom,around:this._aroundPoint,originalEvent:this._lastWheelEvent}}},di.prototype._smoothOutEasing=function(e){var r=t.ease;if(this._prevEase){var n=this._prevEase,i=(t.browser.now()-n.start)/n.duration,a=n.easing(i+.01)-n.easing(i),o=.27/Math.sqrt(a*a+1e-4)*.01,s=Math.sqrt(.0729-o*o);r=t.bezier(o,s,.25,1)}return this._prevEase={start:t.browser.now(),duration:e,easing:r},r},di.prototype.reset=function(){this._active=!1};var vi=function(t,e){this._clickZoom=t,this._tapZoom=e};vi.prototype.enable=function(){this._clickZoom.enable(),this._tapZoom.enable()},vi.prototype.disable=function(){this._clickZoom.disable(),this._tapZoom.disable()},vi.prototype.isEnabled=function(){return this._clickZoom.isEnabled()&&this._tapZoom.isEnabled()},vi.prototype.isActive=function(){return this._clickZoom.isActive()||this._tapZoom.isActive()};var gi=function(){this.reset()};gi.prototype.reset=function(){this._active=!1},gi.prototype.dblclick=function(t,e){return t.preventDefault(),{cameraAnimation:function(r){r.easeTo({duration:300,zoom:r.getZoom()+(t.shiftKey?-1:1),around:r.unproject(e)},{originalEvent:t})}}},gi.prototype.enable=function(){this._enabled=!0},gi.prototype.disable=function(){this._enabled=!1,this.reset()},gi.prototype.isEnabled=function(){return this._enabled},gi.prototype.isActive=function(){return this._active};var yi=function(){this._tap=new Xn({numTouches:1,numTaps:1}),this.reset()};yi.prototype.reset=function(){this._active=!1,delete this._swipePoint,delete this._swipeTouch,delete this._tapTime,this._tap.reset()},yi.prototype.touchstart=function(t,e,r){this._swipePoint||(this._tapTime&&t.timeStamp-this._tapTime>500&&this.reset(),this._tapTime?r.length>0&&(this._swipePoint=e[0],this._swipeTouch=r[0].identifier):this._tap.touchstart(t,e,r))},yi.prototype.touchmove=function(t,e,r){if(this._tapTime){if(this._swipePoint){if(r[0].identifier!==this._swipeTouch)return;var n=e[0],i=n.y-this._swipePoint.y;return this._swipePoint=n,t.preventDefault(),this._active=!0,{zoomDelta:i/128}}}else this._tap.touchmove(t,e,r)},yi.prototype.touchend=function(t,e,r){this._tapTime?this._swipePoint&&0===r.length&&this.reset():this._tap.touchend(t,e,r)&&(this._tapTime=t.timeStamp)},yi.prototype.touchcancel=function(){this.reset()},yi.prototype.enable=function(){this._enabled=!0},yi.prototype.disable=function(){this._enabled=!1,this.reset()},yi.prototype.isEnabled=function(){return this._enabled},yi.prototype.isActive=function(){return this._active};var mi=function(t,e,r){this._el=t,this._mousePan=e,this._touchPan=r};mi.prototype.enable=function(t){this._inertiaOptions=t||{},this._mousePan.enable(),this._touchPan.enable(),this._el.classList.add(\"mapboxgl-touch-drag-pan\")},mi.prototype.disable=function(){this._mousePan.disable(),this._touchPan.disable(),this._el.classList.remove(\"mapboxgl-touch-drag-pan\")},mi.prototype.isEnabled=function(){return this._mousePan.isEnabled()&&this._touchPan.isEnabled()},mi.prototype.isActive=function(){return this._mousePan.isActive()||this._touchPan.isActive()};var xi=function(t,e,r){this._pitchWithRotate=t.pitchWithRotate,this._mouseRotate=e,this._mousePitch=r};xi.prototype.enable=function(){this._mouseRotate.enable(),this._pitchWithRotate&&this._mousePitch.enable()},xi.prototype.disable=function(){this._mouseRotate.disable(),this._mousePitch.disable()},xi.prototype.isEnabled=function(){return this._mouseRotate.isEnabled()&&(!this._pitchWithRotate||this._mousePitch.isEnabled())},xi.prototype.isActive=function(){return this._mouseRotate.isActive()||this._mousePitch.isActive()};var bi=function(t,e,r,n){this._el=t,this._touchZoom=e,this._touchRotate=r,this._tapDragZoom=n,this._rotationDisabled=!1,this._enabled=!0};bi.prototype.enable=function(t){this._touchZoom.enable(t),this._rotationDisabled||this._touchRotate.enable(t),this._tapDragZoom.enable(),this._el.classList.add(\"mapboxgl-touch-zoom-rotate\")},bi.prototype.disable=function(){this._touchZoom.disable(),this._touchRotate.disable(),this._tapDragZoom.disable(),this._el.classList.remove(\"mapboxgl-touch-zoom-rotate\")},bi.prototype.isEnabled=function(){return this._touchZoom.isEnabled()&&(this._rotationDisabled||this._touchRotate.isEnabled())&&this._tapDragZoom.isEnabled()},bi.prototype.isActive=function(){return this._touchZoom.isActive()||this._touchRotate.isActive()||this._tapDragZoom.isActive()},bi.prototype.disableRotation=function(){this._rotationDisabled=!0,this._touchRotate.disable()},bi.prototype.enableRotation=function(){this._rotationDisabled=!1,this._touchZoom.isEnabled()&&this._touchRotate.enable()};var _i=function(t){return t.zoom||t.drag||t.pitch||t.rotate},wi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e}(t.Event);function Ti(t){return t.panDelta&&t.panDelta.mag()||t.zoomDelta||t.bearingDelta||t.pitchDelta}var ki=function(e,n){this._map=e,this._el=this._map.getCanvasContainer(),this._handlers=[],this._handlersById={},this._changes=[],this._inertia=new Bn(e),this._bearingSnap=n.bearingSnap,this._previousActiveHandlers={},this._eventsInProgress={},this._addDefaultHandlers(n),t.bindAll([\"handleEvent\",\"handleWindowEvent\"],this);var i=this._el;this._listeners=[[i,\"touchstart\",{passive:!1}],[i,\"touchmove\",{passive:!1}],[i,\"touchend\",void 0],[i,\"touchcancel\",void 0],[i,\"mousedown\",void 0],[i,\"mousemove\",void 0],[i,\"mouseup\",void 0],[t.window.document,\"mousemove\",{capture:!0}],[t.window.document,\"mouseup\",void 0],[i,\"mouseover\",void 0],[i,\"mouseout\",void 0],[i,\"dblclick\",void 0],[i,\"click\",void 0],[i,\"keydown\",{capture:!1}],[i,\"keyup\",void 0],[i,\"wheel\",{passive:!1}],[i,\"contextmenu\",void 0],[t.window,\"blur\",void 0]];for(var a=0,o=this._listeners;a<o.length;a+=1){var s=o[a],l=s[0],u=s[1],c=s[2];r.addEventListener(l,u,l===t.window.document?this.handleWindowEvent:this.handleEvent,c)}};ki.prototype.destroy=function(){for(var e=0,n=this._listeners;e<n.length;e+=1){var i=n[e],a=i[0],o=i[1],s=i[2];r.removeEventListener(a,o,a===t.window.document?this.handleWindowEvent:this.handleEvent,s)}},ki.prototype._addDefaultHandlers=function(t){var e=this._map,r=e.getCanvasContainer();this._add(\"mapEvent\",new qn(e,t));var n=e.boxZoom=new Zn(e,t);this._add(\"boxZoom\",n);var i=new Jn,a=new gi;e.doubleClickZoom=new vi(a,i),this._add(\"tapZoom\",i),this._add(\"clickZoom\",a);var o=new yi;this._add(\"tapDragZoom\",o);var s=e.touchPitch=new ui;this._add(\"touchPitch\",s);var l=new Qn(t),u=new ti(t);e.dragRotate=new xi(t,l,u),this._add(\"mouseRotate\",l,[\"mousePitch\"]),this._add(\"mousePitch\",u,[\"mouseRotate\"]);var c=new $n(t),f=new ei(t);e.dragPan=new mi(r,c,f),this._add(\"mousePan\",c),this._add(\"touchPan\",f,[\"touchZoom\",\"touchRotate\"]);var h=new si,p=new ai;e.touchZoomRotate=new bi(r,p,h,o),this._add(\"touchRotate\",h,[\"touchPan\",\"touchZoom\"]),this._add(\"touchZoom\",p,[\"touchPan\",\"touchRotate\"]);var d=e.scrollZoom=new di(e,this);this._add(\"scrollZoom\",d,[\"mousePan\"]);var v=e.keyboard=new fi;this._add(\"keyboard\",v),this._add(\"blockableMapEvent\",new Gn(e));for(var g=0,y=[\"boxZoom\",\"doubleClickZoom\",\"tapDragZoom\",\"touchPitch\",\"dragRotate\",\"dragPan\",\"touchZoomRotate\",\"scrollZoom\",\"keyboard\"];g<y.length;g+=1){var m=y[g];t.interactive&&t[m]&&e[m].enable(t[m])}},ki.prototype._add=function(t,e,r){this._handlers.push({handlerName:t,handler:e,allowed:r}),this._handlersById[t]=e},ki.prototype.stop=function(){if(!this._updatingCamera){for(var t=0,e=this._handlers;t<e.length;t+=1)e[t].handler.reset();this._inertia.clear(),this._fireEvents({},{}),this._changes=[]}},ki.prototype.isActive=function(){for(var t=0,e=this._handlers;t<e.length;t+=1)if(e[t].handler.isActive())return!0;return!1},ki.prototype.isZooming=function(){return!!this._eventsInProgress.zoom||this._map.scrollZoom.isZooming()},ki.prototype.isRotating=function(){return!!this._eventsInProgress.rotate},ki.prototype.isMoving=function(){return Boolean(_i(this._eventsInProgress))||this.isZooming()},ki.prototype._blockedByActive=function(t,e,r){for(var n in t)if(n!==r&&(!e||e.indexOf(n)<0))return!0;return!1},ki.prototype.handleWindowEvent=function(t){this.handleEvent(t,t.type+\"Window\")},ki.prototype._getMapTouches=function(t){for(var e=[],r=0,n=t;r<n.length;r+=1){var i=n[r],a=i.target;this._el.contains(a)&&e.push(i)}return e},ki.prototype.handleEvent=function(t,e){if(\"blur\"!==t.type){this._updatingCamera=!0;for(var n=\"renderFrame\"===t.type?void 0:t,i={needsRenderFrame:!1},a={},o={},s=t.touches?this._getMapTouches(t.touches):void 0,l=s?r.touchPos(this._el,s):r.mousePos(this._el,t),u=0,c=this._handlers;u<c.length;u+=1){var f=c[u],h=f.handlerName,p=f.handler,d=f.allowed;if(p.isEnabled()){var v=void 0;this._blockedByActive(o,d,h)?p.reset():p[e||t.type]&&(v=p[e||t.type](t,l,s),this.mergeHandlerResult(i,a,v,h,n),v&&v.needsRenderFrame&&this._triggerRenderFrame()),(v||p.isActive())&&(o[h]=p)}}var g={};for(var y in this._previousActiveHandlers)o[y]||(g[y]=n);this._previousActiveHandlers=o,(Object.keys(g).length||Ti(i))&&(this._changes.push([i,a,g]),this._triggerRenderFrame()),(Object.keys(o).length||Ti(i))&&this._map._stop(!0),this._updatingCamera=!1;var m=i.cameraAnimation;m&&(this._inertia.clear(),this._fireEvents({},{}),this._changes=[],m(this._map))}else this.stop()},ki.prototype.mergeHandlerResult=function(e,r,n,i,a){if(n){t.extend(e,n);var o={handlerName:i,originalEvent:n.originalEvent||a};void 0!==n.zoomDelta&&(r.zoom=o),void 0!==n.panDelta&&(r.drag=o),void 0!==n.pitchDelta&&(r.pitch=o),void 0!==n.bearingDelta&&(r.rotate=o)}},ki.prototype._applyChanges=function(){for(var e={},r={},n={},i=0,a=this._changes;i<a.length;i+=1){var o=a[i],s=o[0],l=o[1],u=o[2];s.panDelta&&(e.panDelta=(e.panDelta||new t.Point(0,0))._add(s.panDelta)),s.zoomDelta&&(e.zoomDelta=(e.zoomDelta||0)+s.zoomDelta),s.bearingDelta&&(e.bearingDelta=(e.bearingDelta||0)+s.bearingDelta),s.pitchDelta&&(e.pitchDelta=(e.pitchDelta||0)+s.pitchDelta),void 0!==s.around&&(e.around=s.around),void 0!==s.pinchAround&&(e.pinchAround=s.pinchAround),s.noInertia&&(e.noInertia=s.noInertia),t.extend(r,l),t.extend(n,u)}this._updateMapTransform(e,r,n),this._changes=[]},ki.prototype._updateMapTransform=function(t,e,r){var n=this._map,i=n.transform;if(!Ti(t))return this._fireEvents(e,r);var a=t.panDelta,o=t.zoomDelta,s=t.bearingDelta,l=t.pitchDelta,u=t.around,c=t.pinchAround;void 0!==c&&(u=c),n._stop(!0),u=u||n.transform.centerPoint;var f=i.pointLocation(a?u.sub(a):u);s&&(i.bearing+=s),l&&(i.pitch+=l),o&&(i.zoom+=o),i.setLocationAtPoint(f,u),this._map._update(),t.noInertia||this._inertia.record(t),this._fireEvents(e,r)},ki.prototype._fireEvents=function(e,r){var n=this,i=_i(this._eventsInProgress),a=_i(e),o={};for(var s in e){var l=e[s].originalEvent;this._eventsInProgress[s]||(o[s+\"start\"]=l),this._eventsInProgress[s]=e[s]}for(var u in!i&&a&&this._fireEvent(\"movestart\",a.originalEvent),o)this._fireEvent(u,o[u]);for(var c in e.rotate&&(this._bearingChanged=!0),a&&this._fireEvent(\"move\",a.originalEvent),e){var f=e[c].originalEvent;this._fireEvent(c,f)}var h,p={};for(var d in this._eventsInProgress){var v=this._eventsInProgress[d],g=v.handlerName,y=v.originalEvent;this._handlersById[g].isActive()||(delete this._eventsInProgress[d],h=r[g]||y,p[d+\"end\"]=h)}for(var m in p)this._fireEvent(m,p[m]);var x=_i(this._eventsInProgress);if((i||a)&&!x){this._updatingCamera=!0;var b=this._inertia._onMoveEnd(this._map.dragPan._inertiaOptions),_=function(t){return 0!==t&&-n._bearingSnap<t&&t<n._bearingSnap};b?(_(b.bearing||this._map.getBearing())&&(b.bearing=0),this._map.easeTo(b,{originalEvent:h})):(this._map.fire(new t.Event(\"moveend\",{originalEvent:h})),_(this._map.getBearing())&&this._map.resetNorth()),this._bearingChanged=!1,this._updatingCamera=!1}},ki.prototype._fireEvent=function(e,r){this._map.fire(new t.Event(e,r?{originalEvent:r}:{}))},ki.prototype._triggerRenderFrame=function(){var t=this;void 0===this._frameId&&(this._frameId=this._map._requestRenderFrame((function(e){delete t._frameId,t.handleEvent(new wi(\"renderFrame\",{timeStamp:e})),t._applyChanges()})))};var Ai=function(e){function r(r,n){e.call(this),this._moving=!1,this._zooming=!1,this.transform=r,this._bearingSnap=n.bearingSnap,t.bindAll([\"_renderFrameCallback\"],this)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.getCenter=function(){return new t.LngLat(this.transform.center.lng,this.transform.center.lat)},r.prototype.setCenter=function(t,e){return this.jumpTo({center:t},e)},r.prototype.panBy=function(e,r,n){return e=t.Point.convert(e).mult(-1),this.panTo(this.transform.center,t.extend({offset:e},r),n)},r.prototype.panTo=function(e,r,n){return this.easeTo(t.extend({center:e},r),n)},r.prototype.getZoom=function(){return this.transform.zoom},r.prototype.setZoom=function(t,e){return this.jumpTo({zoom:t},e),this},r.prototype.zoomTo=function(e,r,n){return this.easeTo(t.extend({zoom:e},r),n)},r.prototype.zoomIn=function(t,e){return this.zoomTo(this.getZoom()+1,t,e),this},r.prototype.zoomOut=function(t,e){return this.zoomTo(this.getZoom()-1,t,e),this},r.prototype.getBearing=function(){return this.transform.bearing},r.prototype.setBearing=function(t,e){return this.jumpTo({bearing:t},e),this},r.prototype.getPadding=function(){return this.transform.padding},r.prototype.setPadding=function(t,e){return this.jumpTo({padding:t},e),this},r.prototype.rotateTo=function(e,r,n){return this.easeTo(t.extend({bearing:e},r),n)},r.prototype.resetNorth=function(e,r){return this.rotateTo(0,t.extend({duration:1e3},e),r),this},r.prototype.resetNorthPitch=function(e,r){return this.easeTo(t.extend({bearing:0,pitch:0,duration:1e3},e),r),this},r.prototype.snapToNorth=function(t,e){return Math.abs(this.getBearing())<this._bearingSnap?this.resetNorth(t,e):this},r.prototype.getPitch=function(){return this.transform.pitch},r.prototype.setPitch=function(t,e){return this.jumpTo({pitch:t},e),this},r.prototype.cameraForBounds=function(e,r){return e=t.LngLatBounds.convert(e),this._cameraForBoxAndBearing(e.getNorthWest(),e.getSouthEast(),0,r)},r.prototype._cameraForBoxAndBearing=function(e,r,n,i){var a={top:0,bottom:0,right:0,left:0};if(\"number\"==typeof(i=t.extend({padding:a,offset:[0,0],maxZoom:this.transform.maxZoom},i)).padding){var o=i.padding;i.padding={top:o,bottom:o,right:o,left:o}}i.padding=t.extend(a,i.padding);var s=this.transform,l=s.padding,u=s.project(t.LngLat.convert(e)),c=s.project(t.LngLat.convert(r)),f=u.rotate(-n*Math.PI/180),h=c.rotate(-n*Math.PI/180),p=new t.Point(Math.max(f.x,h.x),Math.max(f.y,h.y)),d=new t.Point(Math.min(f.x,h.x),Math.min(f.y,h.y)),v=p.sub(d),g=(s.width-(l.left+l.right+i.padding.left+i.padding.right))/v.x,y=(s.height-(l.top+l.bottom+i.padding.top+i.padding.bottom))/v.y;if(!(y<0||g<0)){var m=Math.min(s.scaleZoom(s.scale*Math.min(g,y)),i.maxZoom),x=t.Point.convert(i.offset),b=(i.padding.left-i.padding.right)/2,_=(i.padding.top-i.padding.bottom)/2,w=new t.Point(x.x+b,x.y+_).mult(s.scale/s.zoomScale(m));return{center:s.unproject(u.add(c).div(2).sub(w)),zoom:m,bearing:n}}t.warnOnce(\"Map cannot fit within canvas with the given bounds, padding, and/or offset.\")},r.prototype.fitBounds=function(t,e,r){return this._fitInternal(this.cameraForBounds(t,e),e,r)},r.prototype.fitScreenCoordinates=function(e,r,n,i,a){return this._fitInternal(this._cameraForBoxAndBearing(this.transform.pointLocation(t.Point.convert(e)),this.transform.pointLocation(t.Point.convert(r)),n,i),i,a)},r.prototype._fitInternal=function(e,r,n){return e?(delete(r=t.extend(e,r)).padding,r.linear?this.easeTo(r,n):this.flyTo(r,n)):this},r.prototype.jumpTo=function(e,r){this.stop();var n=this.transform,i=!1,a=!1,o=!1;return\"zoom\"in e&&n.zoom!==+e.zoom&&(i=!0,n.zoom=+e.zoom),void 0!==e.center&&(n.center=t.LngLat.convert(e.center)),\"bearing\"in e&&n.bearing!==+e.bearing&&(a=!0,n.bearing=+e.bearing),\"pitch\"in e&&n.pitch!==+e.pitch&&(o=!0,n.pitch=+e.pitch),null==e.padding||n.isPaddingEqual(e.padding)||(n.padding=e.padding),this.fire(new t.Event(\"movestart\",r)).fire(new t.Event(\"move\",r)),i&&this.fire(new t.Event(\"zoomstart\",r)).fire(new t.Event(\"zoom\",r)).fire(new t.Event(\"zoomend\",r)),a&&this.fire(new t.Event(\"rotatestart\",r)).fire(new t.Event(\"rotate\",r)).fire(new t.Event(\"rotateend\",r)),o&&this.fire(new t.Event(\"pitchstart\",r)).fire(new t.Event(\"pitch\",r)).fire(new t.Event(\"pitchend\",r)),this.fire(new t.Event(\"moveend\",r))},r.prototype.easeTo=function(e,r){var n=this;this._stop(!1,e.easeId),(!1===(e=t.extend({offset:[0,0],duration:500,easing:t.ease},e)).animate||!e.essential&&t.browser.prefersReducedMotion)&&(e.duration=0);var i=this.transform,a=this.getZoom(),o=this.getBearing(),s=this.getPitch(),l=this.getPadding(),u=\"zoom\"in e?+e.zoom:a,c=\"bearing\"in e?this._normalizeBearing(e.bearing,o):o,f=\"pitch\"in e?+e.pitch:s,h=\"padding\"in e?e.padding:i.padding,p=t.Point.convert(e.offset),d=i.centerPoint.add(p),v=i.pointLocation(d),g=t.LngLat.convert(e.center||v);this._normalizeCenter(g);var y,m,x=i.project(v),b=i.project(g).sub(x),_=i.zoomScale(u-a);e.around&&(y=t.LngLat.convert(e.around),m=i.locationPoint(y));var w={moving:this._moving,zooming:this._zooming,rotating:this._rotating,pitching:this._pitching};return this._zooming=this._zooming||u!==a,this._rotating=this._rotating||o!==c,this._pitching=this._pitching||f!==s,this._padding=!i.isPaddingEqual(h),this._easeId=e.easeId,this._prepareEase(r,e.noMoveStart,w),clearTimeout(this._easeEndTimeoutID),this._ease((function(e){if(n._zooming&&(i.zoom=t.number(a,u,e)),n._rotating&&(i.bearing=t.number(o,c,e)),n._pitching&&(i.pitch=t.number(s,f,e)),n._padding&&(i.interpolatePadding(l,h,e),d=i.centerPoint.add(p)),y)i.setLocationAtPoint(y,m);else{var v=i.zoomScale(i.zoom-a),g=u>a?Math.min(2,_):Math.max(.5,_),w=Math.pow(g,1-e),T=i.unproject(x.add(b.mult(e*w)).mult(v));i.setLocationAtPoint(i.renderWorldCopies?T.wrap():T,d)}n._fireMoveEvents(r)}),(function(t){n._afterEase(r,t)}),e),this},r.prototype._prepareEase=function(e,r,n){void 0===n&&(n={}),this._moving=!0,r||n.moving||this.fire(new t.Event(\"movestart\",e)),this._zooming&&!n.zooming&&this.fire(new t.Event(\"zoomstart\",e)),this._rotating&&!n.rotating&&this.fire(new t.Event(\"rotatestart\",e)),this._pitching&&!n.pitching&&this.fire(new t.Event(\"pitchstart\",e))},r.prototype._fireMoveEvents=function(e){this.fire(new t.Event(\"move\",e)),this._zooming&&this.fire(new t.Event(\"zoom\",e)),this._rotating&&this.fire(new t.Event(\"rotate\",e)),this._pitching&&this.fire(new t.Event(\"pitch\",e))},r.prototype._afterEase=function(e,r){if(!this._easeId||!r||this._easeId!==r){delete this._easeId;var n=this._zooming,i=this._rotating,a=this._pitching;this._moving=!1,this._zooming=!1,this._rotating=!1,this._pitching=!1,this._padding=!1,n&&this.fire(new t.Event(\"zoomend\",e)),i&&this.fire(new t.Event(\"rotateend\",e)),a&&this.fire(new t.Event(\"pitchend\",e)),this.fire(new t.Event(\"moveend\",e))}},r.prototype.flyTo=function(e,r){var n=this;if(!e.essential&&t.browser.prefersReducedMotion){var i=t.pick(e,[\"center\",\"zoom\",\"bearing\",\"pitch\",\"around\"]);return this.jumpTo(i,r)}this.stop(),e=t.extend({offset:[0,0],speed:1.2,curve:1.42,easing:t.ease},e);var a=this.transform,o=this.getZoom(),s=this.getBearing(),l=this.getPitch(),u=this.getPadding(),c=\"zoom\"in e?t.clamp(+e.zoom,a.minZoom,a.maxZoom):o,f=\"bearing\"in e?this._normalizeBearing(e.bearing,s):s,h=\"pitch\"in e?+e.pitch:l,p=\"padding\"in e?e.padding:a.padding,d=a.zoomScale(c-o),v=t.Point.convert(e.offset),g=a.centerPoint.add(v),y=a.pointLocation(g),m=t.LngLat.convert(e.center||y);this._normalizeCenter(m);var x=a.project(y),b=a.project(m).sub(x),_=e.curve,w=Math.max(a.width,a.height),T=w/d,k=b.mag();if(\"minZoom\"in e){var A=t.clamp(Math.min(e.minZoom,o,c),a.minZoom,a.maxZoom),M=w/a.zoomScale(A-o);_=Math.sqrt(M/k*2)}var S=_*_;function E(t){var e=(T*T-w*w+(t?-1:1)*S*S*k*k)/(2*(t?T:w)*S*k);return Math.log(Math.sqrt(e*e+1)-e)}function L(t){return(Math.exp(t)-Math.exp(-t))/2}function C(t){return(Math.exp(t)+Math.exp(-t))/2}var P=E(0),O=function(t){return C(P)/C(P+_*t)},I=function(t){return w*((C(P)*(L(e=P+_*t)/C(e))-L(P))/S)/k;var e},D=(E(1)-P)/_;if(Math.abs(k)<1e-6||!isFinite(D)){if(Math.abs(w-T)<1e-6)return this.easeTo(e,r);var z=T<w?-1:1;D=Math.abs(Math.log(T/w))/_,I=function(){return 0},O=function(t){return Math.exp(z*_*t)}}if(\"duration\"in e)e.duration=+e.duration;else{var R=\"screenSpeed\"in e?+e.screenSpeed/_:+e.speed;e.duration=1e3*D/R}return e.maxDuration&&e.duration>e.maxDuration&&(e.duration=0),this._zooming=!0,this._rotating=s!==f,this._pitching=h!==l,this._padding=!a.isPaddingEqual(p),this._prepareEase(r,!1),this._ease((function(e){var i=e*D,d=1/O(i);a.zoom=1===e?c:o+a.scaleZoom(d),n._rotating&&(a.bearing=t.number(s,f,e)),n._pitching&&(a.pitch=t.number(l,h,e)),n._padding&&(a.interpolatePadding(u,p,e),g=a.centerPoint.add(v));var y=1===e?m:a.unproject(x.add(b.mult(I(i))).mult(d));a.setLocationAtPoint(a.renderWorldCopies?y.wrap():y,g),n._fireMoveEvents(r)}),(function(){return n._afterEase(r)}),e),this},r.prototype.isEasing=function(){return!!this._easeFrameId},r.prototype.stop=function(){return this._stop()},r.prototype._stop=function(t,e){if(this._easeFrameId&&(this._cancelRenderFrame(this._easeFrameId),delete this._easeFrameId,delete this._onEaseFrame),this._onEaseEnd){var r=this._onEaseEnd;delete this._onEaseEnd,r.call(this,e)}if(!t){var n=this.handlers;n&&n.stop()}return this},r.prototype._ease=function(e,r,n){!1===n.animate||0===n.duration?(e(1),r()):(this._easeStart=t.browser.now(),this._easeOptions=n,this._onEaseFrame=e,this._onEaseEnd=r,this._easeFrameId=this._requestRenderFrame(this._renderFrameCallback))},r.prototype._renderFrameCallback=function(){var e=Math.min((t.browser.now()-this._easeStart)/this._easeOptions.duration,1);this._onEaseFrame(this._easeOptions.easing(e)),e<1?this._easeFrameId=this._requestRenderFrame(this._renderFrameCallback):this.stop()},r.prototype._normalizeBearing=function(e,r){e=t.wrap(e,-180,180);var n=Math.abs(e-r);return Math.abs(e-360-r)<n&&(e-=360),Math.abs(e+360-r)<n&&(e+=360),e},r.prototype._normalizeCenter=function(t){var e=this.transform;if(e.renderWorldCopies&&!e.lngRange){var r=t.lng-e.center.lng;t.lng+=r>180?-360:r<-180?360:0}},r}(t.Evented),Mi=function(e){void 0===e&&(e={}),this.options=e,t.bindAll([\"_updateEditLink\",\"_updateData\",\"_updateCompact\"],this)};Mi.prototype.getDefaultPosition=function(){return\"bottom-right\"},Mi.prototype.onAdd=function(t){var e=this.options&&this.options.compact;return this._map=t,this._container=r.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-attrib\"),this._innerContainer=r.create(\"div\",\"mapboxgl-ctrl-attrib-inner\",this._container),e&&this._container.classList.add(\"mapboxgl-compact\"),this._updateAttributions(),this._updateEditLink(),this._map.on(\"styledata\",this._updateData),this._map.on(\"sourcedata\",this._updateData),this._map.on(\"moveend\",this._updateEditLink),void 0===e&&(this._map.on(\"resize\",this._updateCompact),this._updateCompact()),this._container},Mi.prototype.onRemove=function(){r.remove(this._container),this._map.off(\"styledata\",this._updateData),this._map.off(\"sourcedata\",this._updateData),this._map.off(\"moveend\",this._updateEditLink),this._map.off(\"resize\",this._updateCompact),this._map=void 0,this._attribHTML=void 0},Mi.prototype._updateEditLink=function(){var e=this._editLink;e||(e=this._editLink=this._container.querySelector(\".mapbox-improve-map\"));var r=[{key:\"owner\",value:this.styleOwner},{key:\"id\",value:this.styleId},{key:\"access_token\",value:this._map._requestManager._customAccessToken||t.config.ACCESS_TOKEN}];if(e){var n=r.reduce((function(t,e,n){return e.value&&(t+=e.key+\"=\"+e.value+(n<r.length-1?\"&\":\"\")),t}),\"?\");e.href=t.config.FEEDBACK_URL+\"/\"+n+(this._map._hash?this._map._hash.getHashString(!0):\"\"),e.rel=\"noopener nofollow\"}},Mi.prototype._updateData=function(t){!t||\"metadata\"!==t.sourceDataType&&\"style\"!==t.dataType||(this._updateAttributions(),this._updateEditLink())},Mi.prototype._updateAttributions=function(){if(this._map.style){var t=[];if(this.options.customAttribution&&(Array.isArray(this.options.customAttribution)?t=t.concat(this.options.customAttribution.map((function(t){return\"string\"!=typeof t?\"\":t}))):\"string\"==typeof this.options.customAttribution&&t.push(this.options.customAttribution)),this._map.style.stylesheet){var e=this._map.style.stylesheet;this.styleOwner=e.owner,this.styleId=e.id}var r=this._map.style.sourceCaches;for(var n in r){var i=r[n];if(i.used){var a=i.getSource();a.attribution&&t.indexOf(a.attribution)<0&&t.push(a.attribution)}}t.sort((function(t,e){return t.length-e.length}));var o=(t=t.filter((function(e,r){for(var n=r+1;n<t.length;n++)if(t[n].indexOf(e)>=0)return!1;return!0}))).join(\" | \");o!==this._attribHTML&&(this._attribHTML=o,t.length?(this._innerContainer.innerHTML=o,this._container.classList.remove(\"mapboxgl-attrib-empty\")):this._container.classList.add(\"mapboxgl-attrib-empty\"),this._editLink=null)}},Mi.prototype._updateCompact=function(){this._map.getCanvasContainer().offsetWidth<=640?this._container.classList.add(\"mapboxgl-compact\"):this._container.classList.remove(\"mapboxgl-compact\")};var Si=function(){t.bindAll([\"_updateLogo\"],this),t.bindAll([\"_updateCompact\"],this)};Si.prototype.onAdd=function(t){this._map=t,this._container=r.create(\"div\",\"mapboxgl-ctrl\");var e=r.create(\"a\",\"mapboxgl-ctrl-logo\");return e.target=\"_blank\",e.rel=\"noopener nofollow\",e.href=\"https://www.mapbox.com/\",e.setAttribute(\"aria-label\",this._map._getUIString(\"LogoControl.Title\")),e.setAttribute(\"rel\",\"noopener nofollow\"),this._container.appendChild(e),this._container.style.display=\"none\",this._map.on(\"sourcedata\",this._updateLogo),this._updateLogo(),this._map.on(\"resize\",this._updateCompact),this._updateCompact(),this._container},Si.prototype.onRemove=function(){r.remove(this._container),this._map.off(\"sourcedata\",this._updateLogo),this._map.off(\"resize\",this._updateCompact)},Si.prototype.getDefaultPosition=function(){return\"bottom-left\"},Si.prototype._updateLogo=function(t){t&&\"metadata\"!==t.sourceDataType||(this._container.style.display=this._logoRequired()?\"block\":\"none\")},Si.prototype._logoRequired=function(){if(this._map.style){var t=this._map.style.sourceCaches;for(var e in t)if(t[e].getSource().mapbox_logo)return!0;return!1}},Si.prototype._updateCompact=function(){var t=this._container.children;if(t.length){var e=t[0];this._map.getCanvasContainer().offsetWidth<250?e.classList.add(\"mapboxgl-compact\"):e.classList.remove(\"mapboxgl-compact\")}};var Ei=function(){this._queue=[],this._id=0,this._cleared=!1,this._currentlyRunning=!1};Ei.prototype.add=function(t){var e=++this._id;return this._queue.push({callback:t,id:e,cancelled:!1}),e},Ei.prototype.remove=function(t){for(var e=this._currentlyRunning,r=0,n=e?this._queue.concat(e):this._queue;r<n.length;r+=1){var i=n[r];if(i.id===t)return void(i.cancelled=!0)}},Ei.prototype.run=function(t){void 0===t&&(t=0);var e=this._currentlyRunning=this._queue;this._queue=[];for(var r=0,n=e;r<n.length;r+=1){var i=n[r];if(!i.cancelled&&(i.callback(t),this._cleared))break}this._cleared=!1,this._currentlyRunning=!1},Ei.prototype.clear=function(){this._currentlyRunning&&(this._cleared=!0),this._queue=[]};var Li={\"FullscreenControl.Enter\":\"Enter fullscreen\",\"FullscreenControl.Exit\":\"Exit fullscreen\",\"GeolocateControl.FindMyLocation\":\"Find my location\",\"GeolocateControl.LocationNotAvailable\":\"Location not available\",\"LogoControl.Title\":\"Mapbox logo\",\"NavigationControl.ResetBearing\":\"Reset bearing to north\",\"NavigationControl.ZoomIn\":\"Zoom in\",\"NavigationControl.ZoomOut\":\"Zoom out\",\"ScaleControl.Feet\":\"ft\",\"ScaleControl.Meters\":\"m\",\"ScaleControl.Kilometers\":\"km\",\"ScaleControl.Miles\":\"mi\",\"ScaleControl.NauticalMiles\":\"nm\"},Ci=t.window.HTMLImageElement,Pi=t.window.HTMLElement,Oi=t.window.ImageBitmap,Ii=60,Di={center:[0,0],zoom:0,bearing:0,pitch:0,minZoom:-2,maxZoom:22,minPitch:0,maxPitch:Ii,interactive:!0,scrollZoom:!0,boxZoom:!0,dragRotate:!0,dragPan:!0,keyboard:!0,doubleClickZoom:!0,touchZoomRotate:!0,touchPitch:!0,bearingSnap:7,clickTolerance:3,pitchWithRotate:!0,hash:!1,attributionControl:!0,failIfMajorPerformanceCaveat:!1,preserveDrawingBuffer:!1,trackResize:!0,renderWorldCopies:!0,refreshExpiredTiles:!0,maxTileCacheSize:null,localIdeographFontFamily:\"sans-serif\",transformRequest:null,accessToken:null,fadeDuration:300,crossSourceCollisions:!0},zi=function(n){function i(e){var r=this;if(null!=(e=t.extend({},Di,e)).minZoom&&null!=e.maxZoom&&e.minZoom>e.maxZoom)throw new Error(\"maxZoom must be greater than or equal to minZoom\");if(null!=e.minPitch&&null!=e.maxPitch&&e.minPitch>e.maxPitch)throw new Error(\"maxPitch must be greater than or equal to minPitch\");if(null!=e.minPitch&&e.minPitch<0)throw new Error(\"minPitch must be greater than or equal to 0\");if(null!=e.maxPitch&&e.maxPitch>Ii)throw new Error(\"maxPitch must be less than or equal to 60\");var i=new Cn(e.minZoom,e.maxZoom,e.minPitch,e.maxPitch,e.renderWorldCopies);if(n.call(this,i,e),this._interactive=e.interactive,this._maxTileCacheSize=e.maxTileCacheSize,this._failIfMajorPerformanceCaveat=e.failIfMajorPerformanceCaveat,this._preserveDrawingBuffer=e.preserveDrawingBuffer,this._antialias=e.antialias,this._trackResize=e.trackResize,this._bearingSnap=e.bearingSnap,this._refreshExpiredTiles=e.refreshExpiredTiles,this._fadeDuration=e.fadeDuration,this._crossSourceCollisions=e.crossSourceCollisions,this._crossFadingFactor=1,this._collectResourceTiming=e.collectResourceTiming,this._renderTaskQueue=new Ei,this._controls=[],this._mapId=t.uniqueId(),this._locale=t.extend({},Li,e.locale),this._requestManager=new t.RequestManager(e.transformRequest,e.accessToken),\"string\"==typeof e.container){if(this._container=t.window.document.getElementById(e.container),!this._container)throw new Error(\"Container '\"+e.container+\"' not found.\")}else{if(!(e.container instanceof Pi))throw new Error(\"Invalid type: 'container' must be a String or HTMLElement.\");this._container=e.container}if(e.maxBounds&&this.setMaxBounds(e.maxBounds),t.bindAll([\"_onWindowOnline\",\"_onWindowResize\",\"_contextLost\",\"_contextRestored\"],this),this._setupContainer(),this._setupPainter(),void 0===this.painter)throw new Error(\"Failed to initialize WebGL.\");this.on(\"move\",(function(){return r._update(!1)})),this.on(\"moveend\",(function(){return r._update(!1)})),this.on(\"zoom\",(function(){return r._update(!0)})),void 0!==t.window&&(t.window.addEventListener(\"online\",this._onWindowOnline,!1),t.window.addEventListener(\"resize\",this._onWindowResize,!1)),this.handlers=new ki(this,e);var a=\"string\"==typeof e.hash&&e.hash||void 0;this._hash=e.hash&&new On(a).addTo(this),this._hash&&this._hash._onHashChange()||(this.jumpTo({center:e.center,zoom:e.zoom,bearing:e.bearing,pitch:e.pitch}),e.bounds&&(this.resize(),this.fitBounds(e.bounds,t.extend({},e.fitBoundsOptions,{duration:0})))),this.resize(),this._localIdeographFontFamily=e.localIdeographFontFamily,e.style&&this.setStyle(e.style,{localIdeographFontFamily:e.localIdeographFontFamily}),e.attributionControl&&this.addControl(new Mi({customAttribution:e.customAttribution})),this.addControl(new Si,e.logoPosition),this.on(\"style.load\",(function(){r.transform.unmodified&&r.jumpTo(r.style.stylesheet)})),this.on(\"data\",(function(e){r._update(\"style\"===e.dataType),r.fire(new t.Event(e.dataType+\"data\",e))})),this.on(\"dataloading\",(function(e){r.fire(new t.Event(e.dataType+\"dataloading\",e))}))}n&&(i.__proto__=n),i.prototype=Object.create(n&&n.prototype),i.prototype.constructor=i;var a={showTileBoundaries:{configurable:!0},showPadding:{configurable:!0},showCollisionBoxes:{configurable:!0},showOverdrawInspector:{configurable:!0},repaint:{configurable:!0},vertices:{configurable:!0},version:{configurable:!0}};return i.prototype._getMapId=function(){return this._mapId},i.prototype.addControl=function(e,r){if(void 0===r&&e.getDefaultPosition&&(r=e.getDefaultPosition()),void 0===r&&(r=\"top-right\"),!e||!e.onAdd)return this.fire(new t.ErrorEvent(new Error(\"Invalid argument to map.addControl(). Argument must be a control with onAdd and onRemove methods.\")));var n=e.onAdd(this);this._controls.push(e);var i=this._controlPositions[r];return-1!==r.indexOf(\"bottom\")?i.insertBefore(n,i.firstChild):i.appendChild(n),this},i.prototype.removeControl=function(e){if(!e||!e.onRemove)return this.fire(new t.ErrorEvent(new Error(\"Invalid argument to map.removeControl(). Argument must be a control with onAdd and onRemove methods.\")));var r=this._controls.indexOf(e);return r>-1&&this._controls.splice(r,1),e.onRemove(this),this},i.prototype.resize=function(e){var r=this._containerDimensions(),n=r[0],i=r[1];this._resizeCanvas(n,i),this.transform.resize(n,i),this.painter.resize(n,i);var a=!this._moving;return a&&(this.stop(),this.fire(new t.Event(\"movestart\",e)).fire(new t.Event(\"move\",e))),this.fire(new t.Event(\"resize\",e)),a&&this.fire(new t.Event(\"moveend\",e)),this},i.prototype.getBounds=function(){return this.transform.getBounds()},i.prototype.getMaxBounds=function(){return this.transform.getMaxBounds()},i.prototype.setMaxBounds=function(e){return this.transform.setMaxBounds(t.LngLatBounds.convert(e)),this._update()},i.prototype.setMinZoom=function(t){if((t=null==t?-2:t)>=-2&&t<=this.transform.maxZoom)return this.transform.minZoom=t,this._update(),this.getZoom()<t&&this.setZoom(t),this;throw new Error(\"minZoom must be between -2 and the current maxZoom, inclusive\")},i.prototype.getMinZoom=function(){return this.transform.minZoom},i.prototype.setMaxZoom=function(t){if((t=null==t?22:t)>=this.transform.minZoom)return this.transform.maxZoom=t,this._update(),this.getZoom()>t&&this.setZoom(t),this;throw new Error(\"maxZoom must be greater than the current minZoom\")},i.prototype.getMaxZoom=function(){return this.transform.maxZoom},i.prototype.setMinPitch=function(t){if((t=null==t?0:t)<0)throw new Error(\"minPitch must be greater than or equal to 0\");if(t>=0&&t<=this.transform.maxPitch)return this.transform.minPitch=t,this._update(),this.getPitch()<t&&this.setPitch(t),this;throw new Error(\"minPitch must be between 0 and the current maxPitch, inclusive\")},i.prototype.getMinPitch=function(){return this.transform.minPitch},i.prototype.setMaxPitch=function(t){if((t=null==t?Ii:t)>Ii)throw new Error(\"maxPitch must be less than or equal to 60\");if(t>=this.transform.minPitch)return this.transform.maxPitch=t,this._update(),this.getPitch()>t&&this.setPitch(t),this;throw new Error(\"maxPitch must be greater than the current minPitch\")},i.prototype.getMaxPitch=function(){return this.transform.maxPitch},i.prototype.getRenderWorldCopies=function(){return this.transform.renderWorldCopies},i.prototype.setRenderWorldCopies=function(t){return this.transform.renderWorldCopies=t,this._update()},i.prototype.project=function(e){return this.transform.locationPoint(t.LngLat.convert(e))},i.prototype.unproject=function(e){return this.transform.pointLocation(t.Point.convert(e))},i.prototype.isMoving=function(){return this._moving||this.handlers.isMoving()},i.prototype.isZooming=function(){return this._zooming||this.handlers.isZooming()},i.prototype.isRotating=function(){return this._rotating||this.handlers.isRotating()},i.prototype._createDelegatedListener=function(t,e,r){var n,i=this;if(\"mouseenter\"===t||\"mouseover\"===t){var a=!1;return{layer:e,listener:r,delegates:{mousemove:function(n){var o=i.getLayer(e)?i.queryRenderedFeatures(n.point,{layers:[e]}):[];o.length?a||(a=!0,r.call(i,new Un(t,i,n.originalEvent,{features:o}))):a=!1},mouseout:function(){a=!1}}}}if(\"mouseleave\"===t||\"mouseout\"===t){var o=!1;return{layer:e,listener:r,delegates:{mousemove:function(n){(i.getLayer(e)?i.queryRenderedFeatures(n.point,{layers:[e]}):[]).length?o=!0:o&&(o=!1,r.call(i,new Un(t,i,n.originalEvent)))},mouseout:function(e){o&&(o=!1,r.call(i,new Un(t,i,e.originalEvent)))}}}}return{layer:e,listener:r,delegates:(n={},n[t]=function(t){var n=i.getLayer(e)?i.queryRenderedFeatures(t.point,{layers:[e]}):[];n.length&&(t.features=n,r.call(i,t),delete t.features)},n)}},i.prototype.on=function(t,e,r){if(void 0===r)return n.prototype.on.call(this,t,e);var i=this._createDelegatedListener(t,e,r);for(var a in this._delegatedListeners=this._delegatedListeners||{},this._delegatedListeners[t]=this._delegatedListeners[t]||[],this._delegatedListeners[t].push(i),i.delegates)this.on(a,i.delegates[a]);return this},i.prototype.once=function(t,e,r){if(void 0===r)return n.prototype.once.call(this,t,e);var i=this._createDelegatedListener(t,e,r);for(var a in i.delegates)this.once(a,i.delegates[a]);return this},i.prototype.off=function(t,e,r){var i=this;if(void 0===r)return n.prototype.off.call(this,t,e);return this._delegatedListeners&&this._delegatedListeners[t]&&function(n){for(var a=n[t],o=0;o<a.length;o++){var s=a[o];if(s.layer===e&&s.listener===r){for(var l in s.delegates)i.off(l,s.delegates[l]);return a.splice(o,1),i}}}(this._delegatedListeners),this},i.prototype.queryRenderedFeatures=function(e,r){if(!this.style)return[];var n;if(void 0!==r||void 0===e||e instanceof t.Point||Array.isArray(e)||(r=e,e=void 0),r=r||{},(e=e||[[0,0],[this.transform.width,this.transform.height]])instanceof t.Point||\"number\"==typeof e[0])n=[t.Point.convert(e)];else{var i=t.Point.convert(e[0]),a=t.Point.convert(e[1]);n=[i,new t.Point(a.x,i.y),a,new t.Point(i.x,a.y),i]}return this.style.queryRenderedFeatures(n,r,this.transform)},i.prototype.querySourceFeatures=function(t,e){return this.style.querySourceFeatures(t,e)},i.prototype.setStyle=function(e,r){return!1!==(r=t.extend({},{localIdeographFontFamily:this._localIdeographFontFamily},r)).diff&&r.localIdeographFontFamily===this._localIdeographFontFamily&&this.style&&e?(this._diffStyle(e,r),this):(this._localIdeographFontFamily=r.localIdeographFontFamily,this._updateStyle(e,r))},i.prototype._getUIString=function(t){var e=this._locale[t];if(null==e)throw new Error(\"Missing UI string '\"+t+\"'\");return e},i.prototype._updateStyle=function(t,e){return this.style&&(this.style.setEventedParent(null),this.style._remove()),t?(this.style=new Ye(this,e||{}),this.style.setEventedParent(this,{style:this.style}),\"string\"==typeof t?this.style.loadURL(t):this.style.loadJSON(t),this):(delete this.style,this)},i.prototype._lazyInitEmptyStyle=function(){this.style||(this.style=new Ye(this,{}),this.style.setEventedParent(this,{style:this.style}),this.style.loadEmpty())},i.prototype._diffStyle=function(e,r){var n=this;if(\"string\"==typeof e){var i=this._requestManager.normalizeStyleURL(e),a=this._requestManager.transformRequest(i,t.ResourceType.Style);t.getJSON(a,(function(e,i){e?n.fire(new t.ErrorEvent(e)):i&&n._updateDiff(i,r)}))}else\"object\"==typeof e&&this._updateDiff(e,r)},i.prototype._updateDiff=function(e,r){try{this.style.setState(e)&&this._update(!0)}catch(n){t.warnOnce(\"Unable to perform style diff: \"+(n.message||n.error||n)+\".  Rebuilding the style from scratch.\"),this._updateStyle(e,r)}},i.prototype.getStyle=function(){if(this.style)return this.style.serialize()},i.prototype.isStyleLoaded=function(){return this.style?this.style.loaded():t.warnOnce(\"There is no style added to the map.\")},i.prototype.addSource=function(t,e){return this._lazyInitEmptyStyle(),this.style.addSource(t,e),this._update(!0)},i.prototype.isSourceLoaded=function(e){var r=this.style&&this.style.sourceCaches[e];if(void 0!==r)return r.loaded();this.fire(new t.ErrorEvent(new Error(\"There is no source with ID '\"+e+\"'\")))},i.prototype.areTilesLoaded=function(){var t=this.style&&this.style.sourceCaches;for(var e in t){var r=t[e]._tiles;for(var n in r){var i=r[n];if(\"loaded\"!==i.state&&\"errored\"!==i.state)return!1}}return!0},i.prototype.addSourceType=function(t,e,r){return this._lazyInitEmptyStyle(),this.style.addSourceType(t,e,r)},i.prototype.removeSource=function(t){return this.style.removeSource(t),this._update(!0)},i.prototype.getSource=function(t){return this.style.getSource(t)},i.prototype.addImage=function(e,r,n){void 0===n&&(n={});var i=n.pixelRatio;void 0===i&&(i=1);var a=n.sdf;void 0===a&&(a=!1);var o=n.stretchX,s=n.stretchY,l=n.content;this._lazyInitEmptyStyle();if(r instanceof Ci||Oi&&r instanceof Oi){var u=t.browser.getImageData(r),c=u.width,f=u.height,h=u.data;this.style.addImage(e,{data:new t.RGBAImage({width:c,height:f},h),pixelRatio:i,stretchX:o,stretchY:s,content:l,sdf:a,version:0})}else{if(void 0===r.width||void 0===r.height)return this.fire(new t.ErrorEvent(new Error(\"Invalid arguments to map.addImage(). The second argument must be an `HTMLImageElement`, `ImageData`, `ImageBitmap`, or object with `width`, `height`, and `data` properties with the same format as `ImageData`\")));var p=r.width,d=r.height,v=r.data,g=r;this.style.addImage(e,{data:new t.RGBAImage({width:p,height:d},new Uint8Array(v)),pixelRatio:i,stretchX:o,stretchY:s,content:l,sdf:a,version:0,userImage:g}),g.onAdd&&g.onAdd(this,e)}},i.prototype.updateImage=function(e,r){var n=this.style.getImage(e);if(!n)return this.fire(new t.ErrorEvent(new Error(\"The map has no image with that id. If you are adding a new image use `map.addImage(...)` instead.\")));var i=r instanceof Ci||Oi&&r instanceof Oi?t.browser.getImageData(r):r,a=i.width,o=i.height,s=i.data;if(void 0===a||void 0===o)return this.fire(new t.ErrorEvent(new Error(\"Invalid arguments to map.updateImage(). The second argument must be an `HTMLImageElement`, `ImageData`, `ImageBitmap`, or object with `width`, `height`, and `data` properties with the same format as `ImageData`\")));if(a!==n.data.width||o!==n.data.height)return this.fire(new t.ErrorEvent(new Error(\"The width and height of the updated image must be that same as the previous version of the image\")));var l=!(r instanceof Ci||Oi&&r instanceof Oi);n.data.replace(s,l),this.style.updateImage(e,n)},i.prototype.hasImage=function(e){return e?!!this.style.getImage(e):(this.fire(new t.ErrorEvent(new Error(\"Missing required image id\"))),!1)},i.prototype.removeImage=function(t){this.style.removeImage(t)},i.prototype.loadImage=function(e,r){t.getImage(this._requestManager.transformRequest(e,t.ResourceType.Image),r)},i.prototype.listImages=function(){return this.style.listImages()},i.prototype.addLayer=function(t,e){return this._lazyInitEmptyStyle(),this.style.addLayer(t,e),this._update(!0)},i.prototype.moveLayer=function(t,e){return this.style.moveLayer(t,e),this._update(!0)},i.prototype.removeLayer=function(t){return this.style.removeLayer(t),this._update(!0)},i.prototype.getLayer=function(t){return this.style.getLayer(t)},i.prototype.setLayerZoomRange=function(t,e,r){return this.style.setLayerZoomRange(t,e,r),this._update(!0)},i.prototype.setFilter=function(t,e,r){return void 0===r&&(r={}),this.style.setFilter(t,e,r),this._update(!0)},i.prototype.getFilter=function(t){return this.style.getFilter(t)},i.prototype.setPaintProperty=function(t,e,r,n){return void 0===n&&(n={}),this.style.setPaintProperty(t,e,r,n),this._update(!0)},i.prototype.getPaintProperty=function(t,e){return this.style.getPaintProperty(t,e)},i.prototype.setLayoutProperty=function(t,e,r,n){return void 0===n&&(n={}),this.style.setLayoutProperty(t,e,r,n),this._update(!0)},i.prototype.getLayoutProperty=function(t,e){return this.style.getLayoutProperty(t,e)},i.prototype.setLight=function(t,e){return void 0===e&&(e={}),this._lazyInitEmptyStyle(),this.style.setLight(t,e),this._update(!0)},i.prototype.getLight=function(){return this.style.getLight()},i.prototype.setFeatureState=function(t,e){return this.style.setFeatureState(t,e),this._update()},i.prototype.removeFeatureState=function(t,e){return this.style.removeFeatureState(t,e),this._update()},i.prototype.getFeatureState=function(t){return this.style.getFeatureState(t)},i.prototype.getContainer=function(){return this._container},i.prototype.getCanvasContainer=function(){return this._canvasContainer},i.prototype.getCanvas=function(){return this._canvas},i.prototype._containerDimensions=function(){var t=0,e=0;return this._container&&(t=this._container.clientWidth||400,e=this._container.clientHeight||300),[t,e]},i.prototype._detectMissingCSS=function(){\"rgb(250, 128, 114)\"!==t.window.getComputedStyle(this._missingCSSCanary).getPropertyValue(\"background-color\")&&t.warnOnce(\"This page appears to be missing CSS declarations for Mapbox GL JS, which may cause the map to display incorrectly. Please ensure your page includes mapbox-gl.css, as described in https://www.mapbox.com/mapbox-gl-js/api/.\")},i.prototype._setupContainer=function(){var t=this._container;t.classList.add(\"mapboxgl-map\"),(this._missingCSSCanary=r.create(\"div\",\"mapboxgl-canary\",t)).style.visibility=\"hidden\",this._detectMissingCSS();var e=this._canvasContainer=r.create(\"div\",\"mapboxgl-canvas-container\",t);this._interactive&&e.classList.add(\"mapboxgl-interactive\"),this._canvas=r.create(\"canvas\",\"mapboxgl-canvas\",e),this._canvas.addEventListener(\"webglcontextlost\",this._contextLost,!1),this._canvas.addEventListener(\"webglcontextrestored\",this._contextRestored,!1),this._canvas.setAttribute(\"tabindex\",\"0\"),this._canvas.setAttribute(\"aria-label\",\"Map\");var n=this._containerDimensions();this._resizeCanvas(n[0],n[1]);var i=this._controlContainer=r.create(\"div\",\"mapboxgl-control-container\",t),a=this._controlPositions={};[\"top-left\",\"top-right\",\"bottom-left\",\"bottom-right\"].forEach((function(t){a[t]=r.create(\"div\",\"mapboxgl-ctrl-\"+t,i)}))},i.prototype._resizeCanvas=function(e,r){var n=t.browser.devicePixelRatio||1;this._canvas.width=n*e,this._canvas.height=n*r,this._canvas.style.width=e+\"px\",this._canvas.style.height=r+\"px\"},i.prototype._setupPainter=function(){var r=t.extend({},e.webGLContextAttributes,{failIfMajorPerformanceCaveat:this._failIfMajorPerformanceCaveat,preserveDrawingBuffer:this._preserveDrawingBuffer,antialias:this._antialias||!1}),n=this._canvas.getContext(\"webgl\",r)||this._canvas.getContext(\"experimental-webgl\",r);n?(this.painter=new Mn(n,this.transform),t.webpSupported.testSupport(n)):this.fire(new t.ErrorEvent(new Error(\"Failed to initialize WebGL\")))},i.prototype._contextLost=function(e){e.preventDefault(),this._frame&&(this._frame.cancel(),this._frame=null),this.fire(new t.Event(\"webglcontextlost\",{originalEvent:e}))},i.prototype._contextRestored=function(e){this._setupPainter(),this.resize(),this._update(),this.fire(new t.Event(\"webglcontextrestored\",{originalEvent:e}))},i.prototype.loaded=function(){return!this._styleDirty&&!this._sourcesDirty&&!!this.style&&this.style.loaded()},i.prototype._update=function(t){return this.style?(this._styleDirty=this._styleDirty||t,this._sourcesDirty=!0,this.triggerRepaint(),this):this},i.prototype._requestRenderFrame=function(t){return this._update(),this._renderTaskQueue.add(t)},i.prototype._cancelRenderFrame=function(t){this._renderTaskQueue.remove(t)},i.prototype._render=function(e){var r,n=this,i=0,a=this.painter.context.extTimerQuery;if(this.listens(\"gpu-timing-frame\")&&(r=a.createQueryEXT(),a.beginQueryEXT(a.TIME_ELAPSED_EXT,r),i=t.browser.now()),this.painter.context.setDirty(),this.painter.setBaseState(),this._renderTaskQueue.run(e),!this._removed){var o=!1;if(this.style&&this._styleDirty){this._styleDirty=!1;var s=this.transform.zoom,l=t.browser.now();this.style.zoomHistory.update(s,l);var u=new t.EvaluationParameters(s,{now:l,fadeDuration:this._fadeDuration,zoomHistory:this.style.zoomHistory,transition:this.style.getTransition()}),c=u.crossFadingFactor();1===c&&c===this._crossFadingFactor||(o=!0,this._crossFadingFactor=c),this.style.update(u)}if(this.style&&this._sourcesDirty&&(this._sourcesDirty=!1,this.style._updateSources(this.transform)),this._placementDirty=this.style&&this.style._updatePlacement(this.painter.transform,this.showCollisionBoxes,this._fadeDuration,this._crossSourceCollisions),this.painter.render(this.style,{showTileBoundaries:this.showTileBoundaries,showOverdrawInspector:this._showOverdrawInspector,rotating:this.isRotating(),zooming:this.isZooming(),moving:this.isMoving(),fadeDuration:this._fadeDuration,showPadding:this.showPadding,gpuTiming:!!this.listens(\"gpu-timing-layer\")}),this.fire(new t.Event(\"render\")),this.loaded()&&!this._loaded&&(this._loaded=!0,this.fire(new t.Event(\"load\"))),this.style&&(this.style.hasTransitions()||o)&&(this._styleDirty=!0),this.style&&!this._placementDirty&&this.style._releaseSymbolFadeTiles(),this.listens(\"gpu-timing-frame\")){var f=t.browser.now()-i;a.endQueryEXT(a.TIME_ELAPSED_EXT,r),setTimeout((function(){var e=a.getQueryObjectEXT(r,a.QUERY_RESULT_EXT)/1e6;a.deleteQueryEXT(r),n.fire(new t.Event(\"gpu-timing-frame\",{cpuTime:f,gpuTime:e}))}),50)}if(this.listens(\"gpu-timing-layer\")){var h=this.painter.collectGpuTimers();setTimeout((function(){var e=n.painter.queryGpuTimers(h);n.fire(new t.Event(\"gpu-timing-layer\",{layerTimes:e}))}),50)}return this._sourcesDirty||this._styleDirty||this._placementDirty||this._repaint?this.triggerRepaint():!this.isMoving()&&this.loaded()&&(this._fullyLoaded||(this._fullyLoaded=!0),this.fire(new t.Event(\"idle\"))),this}},i.prototype.remove=function(){this._hash&&this._hash.remove();for(var e=0,r=this._controls;e<r.length;e+=1)r[e].onRemove(this);this._controls=[],this._frame&&(this._frame.cancel(),this._frame=null),this._renderTaskQueue.clear(),this.painter.destroy(),this.handlers.destroy(),delete this.handlers,this.setStyle(null),void 0!==t.window&&(t.window.removeEventListener(\"resize\",this._onWindowResize,!1),t.window.removeEventListener(\"online\",this._onWindowOnline,!1));var n=this.painter.context.gl.getExtension(\"WEBGL_lose_context\");n&&n.loseContext(),Ri(this._canvasContainer),Ri(this._controlContainer),Ri(this._missingCSSCanary),this._container.classList.remove(\"mapboxgl-map\"),this._removed=!0,this.fire(new t.Event(\"remove\"))},i.prototype.triggerRepaint=function(){var e=this;this.style&&!this._frame&&(this._frame=t.browser.frame((function(t){e._frame=null,e._render(t)})))},i.prototype._onWindowOnline=function(){this._update()},i.prototype._onWindowResize=function(t){this._trackResize&&this.resize({originalEvent:t})._update()},a.showTileBoundaries.get=function(){return!!this._showTileBoundaries},a.showTileBoundaries.set=function(t){this._showTileBoundaries!==t&&(this._showTileBoundaries=t,this._update())},a.showPadding.get=function(){return!!this._showPadding},a.showPadding.set=function(t){this._showPadding!==t&&(this._showPadding=t,this._update())},a.showCollisionBoxes.get=function(){return!!this._showCollisionBoxes},a.showCollisionBoxes.set=function(t){this._showCollisionBoxes!==t&&(this._showCollisionBoxes=t,t?this.style._generateCollisionBoxes():this._update())},a.showOverdrawInspector.get=function(){return!!this._showOverdrawInspector},a.showOverdrawInspector.set=function(t){this._showOverdrawInspector!==t&&(this._showOverdrawInspector=t,this._update())},a.repaint.get=function(){return!!this._repaint},a.repaint.set=function(t){this._repaint!==t&&(this._repaint=t,this.triggerRepaint())},a.vertices.get=function(){return!!this._vertices},a.vertices.set=function(t){this._vertices=t,this._update()},i.prototype._setCacheLimits=function(e,r){t.setCacheLimits(e,r)},a.version.get=function(){return t.version},Object.defineProperties(i.prototype,a),i}(Ai);function Ri(t){t.parentNode&&t.parentNode.removeChild(t)}var Fi={showCompass:!0,showZoom:!0,visualizePitch:!1},Bi=function(e){var n=this;this.options=t.extend({},Fi,e),this._container=r.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-group\"),this._container.addEventListener(\"contextmenu\",(function(t){return t.preventDefault()})),this.options.showZoom&&(t.bindAll([\"_setButtonTitle\",\"_updateZoomButtons\"],this),this._zoomInButton=this._createButton(\"mapboxgl-ctrl-zoom-in\",(function(t){return n._map.zoomIn({},{originalEvent:t})})),r.create(\"span\",\"mapboxgl-ctrl-icon\",this._zoomInButton).setAttribute(\"aria-hidden\",!0),this._zoomOutButton=this._createButton(\"mapboxgl-ctrl-zoom-out\",(function(t){return n._map.zoomOut({},{originalEvent:t})})),r.create(\"span\",\"mapboxgl-ctrl-icon\",this._zoomOutButton).setAttribute(\"aria-hidden\",!0)),this.options.showCompass&&(t.bindAll([\"_rotateCompassArrow\"],this),this._compass=this._createButton(\"mapboxgl-ctrl-compass\",(function(t){n.options.visualizePitch?n._map.resetNorthPitch({},{originalEvent:t}):n._map.resetNorth({},{originalEvent:t})})),this._compassIcon=r.create(\"span\",\"mapboxgl-ctrl-icon\",this._compass),this._compassIcon.setAttribute(\"aria-hidden\",!0))};Bi.prototype._updateZoomButtons=function(){var t=this._map.getZoom();this._zoomInButton.disabled=t===this._map.getMaxZoom(),this._zoomOutButton.disabled=t===this._map.getMinZoom()},Bi.prototype._rotateCompassArrow=function(){var t=this.options.visualizePitch?\"scale(\"+1/Math.pow(Math.cos(this._map.transform.pitch*(Math.PI/180)),.5)+\") rotateX(\"+this._map.transform.pitch+\"deg) rotateZ(\"+this._map.transform.angle*(180/Math.PI)+\"deg)\":\"rotate(\"+this._map.transform.angle*(180/Math.PI)+\"deg)\";this._compassIcon.style.transform=t},Bi.prototype.onAdd=function(t){return this._map=t,this.options.showZoom&&(this._setButtonTitle(this._zoomInButton,\"ZoomIn\"),this._setButtonTitle(this._zoomOutButton,\"ZoomOut\"),this._map.on(\"zoom\",this._updateZoomButtons),this._updateZoomButtons()),this.options.showCompass&&(this._setButtonTitle(this._compass,\"ResetBearing\"),this.options.visualizePitch&&this._map.on(\"pitch\",this._rotateCompassArrow),this._map.on(\"rotate\",this._rotateCompassArrow),this._rotateCompassArrow(),this._handler=new Ni(this._map,this._compass,this.options.visualizePitch)),this._container},Bi.prototype.onRemove=function(){r.remove(this._container),this.options.showZoom&&this._map.off(\"zoom\",this._updateZoomButtons),this.options.showCompass&&(this.options.visualizePitch&&this._map.off(\"pitch\",this._rotateCompassArrow),this._map.off(\"rotate\",this._rotateCompassArrow),this._handler.off(),delete this._handler),delete this._map},Bi.prototype._createButton=function(t,e){var n=r.create(\"button\",t,this._container);return n.type=\"button\",n.addEventListener(\"click\",e),n},Bi.prototype._setButtonTitle=function(t,e){var r=this._map._getUIString(\"NavigationControl.\"+e);t.title=r,t.setAttribute(\"aria-label\",r)};var Ni=function(e,n,i){void 0===i&&(i=!1),this._clickTolerance=10,this.element=n,this.mouseRotate=new Qn({clickTolerance:e.dragRotate._mouseRotate._clickTolerance}),this.map=e,i&&(this.mousePitch=new ti({clickTolerance:e.dragRotate._mousePitch._clickTolerance})),t.bindAll([\"mousedown\",\"mousemove\",\"mouseup\",\"touchstart\",\"touchmove\",\"touchend\",\"reset\"],this),r.addEventListener(n,\"mousedown\",this.mousedown),r.addEventListener(n,\"touchstart\",this.touchstart,{passive:!1}),r.addEventListener(n,\"touchmove\",this.touchmove),r.addEventListener(n,\"touchend\",this.touchend),r.addEventListener(n,\"touchcancel\",this.reset)};function ji(e,r,n){if(e=new t.LngLat(e.lng,e.lat),r){var i=new t.LngLat(e.lng-360,e.lat),a=new t.LngLat(e.lng+360,e.lat),o=n.locationPoint(e).distSqr(r);n.locationPoint(i).distSqr(r)<o?e=i:n.locationPoint(a).distSqr(r)<o&&(e=a)}for(;Math.abs(e.lng-n.center.lng)>180;){var s=n.locationPoint(e);if(s.x>=0&&s.y>=0&&s.x<=n.width&&s.y<=n.height)break;e.lng>n.center.lng?e.lng-=360:e.lng+=360}return e}Ni.prototype.down=function(t,e){this.mouseRotate.mousedown(t,e),this.mousePitch&&this.mousePitch.mousedown(t,e),r.disableDrag()},Ni.prototype.move=function(t,e){var r=this.map,n=this.mouseRotate.mousemoveWindow(t,e);if(n&&n.bearingDelta&&r.setBearing(r.getBearing()+n.bearingDelta),this.mousePitch){var i=this.mousePitch.mousemoveWindow(t,e);i&&i.pitchDelta&&r.setPitch(r.getPitch()+i.pitchDelta)}},Ni.prototype.off=function(){var t=this.element;r.removeEventListener(t,\"mousedown\",this.mousedown),r.removeEventListener(t,\"touchstart\",this.touchstart,{passive:!1}),r.removeEventListener(t,\"touchmove\",this.touchmove),r.removeEventListener(t,\"touchend\",this.touchend),r.removeEventListener(t,\"touchcancel\",this.reset),this.offTemp()},Ni.prototype.offTemp=function(){r.enableDrag(),r.removeEventListener(t.window,\"mousemove\",this.mousemove),r.removeEventListener(t.window,\"mouseup\",this.mouseup)},Ni.prototype.mousedown=function(e){this.down(t.extend({},e,{ctrlKey:!0,preventDefault:function(){return e.preventDefault()}}),r.mousePos(this.element,e)),r.addEventListener(t.window,\"mousemove\",this.mousemove),r.addEventListener(t.window,\"mouseup\",this.mouseup)},Ni.prototype.mousemove=function(t){this.move(t,r.mousePos(this.element,t))},Ni.prototype.mouseup=function(t){this.mouseRotate.mouseupWindow(t),this.mousePitch&&this.mousePitch.mouseupWindow(t),this.offTemp()},Ni.prototype.touchstart=function(t){1!==t.targetTouches.length?this.reset():(this._startPos=this._lastPos=r.touchPos(this.element,t.targetTouches)[0],this.down({type:\"mousedown\",button:0,ctrlKey:!0,preventDefault:function(){return t.preventDefault()}},this._startPos))},Ni.prototype.touchmove=function(t){1!==t.targetTouches.length?this.reset():(this._lastPos=r.touchPos(this.element,t.targetTouches)[0],this.move({preventDefault:function(){return t.preventDefault()}},this._lastPos))},Ni.prototype.touchend=function(t){0===t.targetTouches.length&&this._startPos&&this._lastPos&&this._startPos.dist(this._lastPos)<this._clickTolerance&&this.element.click(),this.reset()},Ni.prototype.reset=function(){this.mouseRotate.reset(),this.mousePitch&&this.mousePitch.reset(),delete this._startPos,delete this._lastPos,this.offTemp()};var Ui={center:\"translate(-50%,-50%)\",top:\"translate(-50%,0)\",\"top-left\":\"translate(0,0)\",\"top-right\":\"translate(-100%,0)\",bottom:\"translate(-50%,-100%)\",\"bottom-left\":\"translate(0,-100%)\",\"bottom-right\":\"translate(-100%,-100%)\",left:\"translate(0,-50%)\",right:\"translate(-100%,-50%)\"};function Vi(t,e,r){var n=t.classList;for(var i in Ui)n.remove(\"mapboxgl-\"+r+\"-anchor-\"+i);n.add(\"mapboxgl-\"+r+\"-anchor-\"+e)}var Hi,qi=function(e){function n(n,i){var a=this;if(e.call(this),(n instanceof t.window.HTMLElement||i)&&(n=t.extend({element:n},i)),t.bindAll([\"_update\",\"_onMove\",\"_onUp\",\"_addDragHandler\",\"_onMapClick\",\"_onKeyPress\"],this),this._anchor=n&&n.anchor||\"center\",this._color=n&&n.color||\"#3FB1CE\",this._draggable=n&&n.draggable||!1,this._state=\"inactive\",this._rotation=n&&n.rotation||0,this._rotationAlignment=n&&n.rotationAlignment||\"auto\",this._pitchAlignment=n&&n.pitchAlignment&&\"auto\"!==n.pitchAlignment?n.pitchAlignment:this._rotationAlignment,n&&n.element)this._element=n.element,this._offset=t.Point.convert(n&&n.offset||[0,0]);else{this._defaultMarker=!0,this._element=r.create(\"div\"),this._element.setAttribute(\"aria-label\",\"Map marker\");var o=r.createNS(\"http://www.w3.org/2000/svg\",\"svg\");o.setAttributeNS(null,\"display\",\"block\"),o.setAttributeNS(null,\"height\",\"41px\"),o.setAttributeNS(null,\"width\",\"27px\"),o.setAttributeNS(null,\"viewBox\",\"0 0 27 41\");var s=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");s.setAttributeNS(null,\"stroke\",\"none\"),s.setAttributeNS(null,\"stroke-width\",\"1\"),s.setAttributeNS(null,\"fill\",\"none\"),s.setAttributeNS(null,\"fill-rule\",\"evenodd\");var l=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");l.setAttributeNS(null,\"fill-rule\",\"nonzero\");var u=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");u.setAttributeNS(null,\"transform\",\"translate(3.0, 29.0)\"),u.setAttributeNS(null,\"fill\",\"#000000\");for(var c=0,f=[{rx:\"10.5\",ry:\"5.25002273\"},{rx:\"10.5\",ry:\"5.25002273\"},{rx:\"9.5\",ry:\"4.77275007\"},{rx:\"8.5\",ry:\"4.29549936\"},{rx:\"7.5\",ry:\"3.81822308\"},{rx:\"6.5\",ry:\"3.34094679\"},{rx:\"5.5\",ry:\"2.86367051\"},{rx:\"4.5\",ry:\"2.38636864\"}];c<f.length;c+=1){var h=f[c],p=r.createNS(\"http://www.w3.org/2000/svg\",\"ellipse\");p.setAttributeNS(null,\"opacity\",\"0.04\"),p.setAttributeNS(null,\"cx\",\"10.5\"),p.setAttributeNS(null,\"cy\",\"5.80029008\"),p.setAttributeNS(null,\"rx\",h.rx),p.setAttributeNS(null,\"ry\",h.ry),u.appendChild(p)}var d=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");d.setAttributeNS(null,\"fill\",this._color);var v=r.createNS(\"http://www.w3.org/2000/svg\",\"path\");v.setAttributeNS(null,\"d\",\"M27,13.5 C27,19.074644 20.250001,27.000002 14.75,34.500002 C14.016665,35.500004 12.983335,35.500004 12.25,34.500002 C6.7499993,27.000002 0,19.222562 0,13.5 C0,6.0441559 6.0441559,0 13.5,0 C20.955844,0 27,6.0441559 27,13.5 Z\"),d.appendChild(v);var g=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");g.setAttributeNS(null,\"opacity\",\"0.25\"),g.setAttributeNS(null,\"fill\",\"#000000\");var y=r.createNS(\"http://www.w3.org/2000/svg\",\"path\");y.setAttributeNS(null,\"d\",\"M13.5,0 C6.0441559,0 0,6.0441559 0,13.5 C0,19.222562 6.7499993,27 12.25,34.5 C13,35.522727 14.016664,35.500004 14.75,34.5 C20.250001,27 27,19.074644 27,13.5 C27,6.0441559 20.955844,0 13.5,0 Z M13.5,1 C20.415404,1 26,6.584596 26,13.5 C26,15.898657 24.495584,19.181431 22.220703,22.738281 C19.945823,26.295132 16.705119,30.142167 13.943359,33.908203 C13.743445,34.180814 13.612715,34.322738 13.5,34.441406 C13.387285,34.322738 13.256555,34.180814 13.056641,33.908203 C10.284481,30.127985 7.4148684,26.314159 5.015625,22.773438 C2.6163816,19.232715 1,15.953538 1,13.5 C1,6.584596 6.584596,1 13.5,1 Z\"),g.appendChild(y);var m=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");m.setAttributeNS(null,\"transform\",\"translate(6.0, 7.0)\"),m.setAttributeNS(null,\"fill\",\"#FFFFFF\");var x=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");x.setAttributeNS(null,\"transform\",\"translate(8.0, 8.0)\");var b=r.createNS(\"http://www.w3.org/2000/svg\",\"circle\");b.setAttributeNS(null,\"fill\",\"#000000\"),b.setAttributeNS(null,\"opacity\",\"0.25\"),b.setAttributeNS(null,\"cx\",\"5.5\"),b.setAttributeNS(null,\"cy\",\"5.5\"),b.setAttributeNS(null,\"r\",\"5.4999962\");var _=r.createNS(\"http://www.w3.org/2000/svg\",\"circle\");_.setAttributeNS(null,\"fill\",\"#FFFFFF\"),_.setAttributeNS(null,\"cx\",\"5.5\"),_.setAttributeNS(null,\"cy\",\"5.5\"),_.setAttributeNS(null,\"r\",\"5.4999962\"),x.appendChild(b),x.appendChild(_),l.appendChild(u),l.appendChild(d),l.appendChild(g),l.appendChild(m),l.appendChild(x),o.appendChild(l),this._element.appendChild(o),this._offset=t.Point.convert(n&&n.offset||[0,-14])}this._element.classList.add(\"mapboxgl-marker\"),this._element.addEventListener(\"dragstart\",(function(t){t.preventDefault()})),this._element.addEventListener(\"mousedown\",(function(t){t.preventDefault()})),this._element.addEventListener(\"focus\",(function(){var t=a._map.getContainer();t.scrollTop=0,t.scrollLeft=0})),Vi(this._element,this._anchor,\"marker\"),this._popup=null}return e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n,n.prototype.addTo=function(t){return this.remove(),this._map=t,t.getCanvasContainer().appendChild(this._element),t.on(\"move\",this._update),t.on(\"moveend\",this._update),this.setDraggable(this._draggable),this._update(),this._map.on(\"click\",this._onMapClick),this},n.prototype.remove=function(){return this._map&&(this._map.off(\"click\",this._onMapClick),this._map.off(\"move\",this._update),this._map.off(\"moveend\",this._update),this._map.off(\"mousedown\",this._addDragHandler),this._map.off(\"touchstart\",this._addDragHandler),this._map.off(\"mouseup\",this._onUp),this._map.off(\"touchend\",this._onUp),this._map.off(\"mousemove\",this._onMove),this._map.off(\"touchmove\",this._onMove),delete this._map),r.remove(this._element),this._popup&&this._popup.remove(),this},n.prototype.getLngLat=function(){return this._lngLat},n.prototype.setLngLat=function(e){return this._lngLat=t.LngLat.convert(e),this._pos=null,this._popup&&this._popup.setLngLat(this._lngLat),this._update(),this},n.prototype.getElement=function(){return this._element},n.prototype.setPopup=function(t){if(this._popup&&(this._popup.remove(),this._popup=null,this._element.removeEventListener(\"keypress\",this._onKeyPress),this._originalTabIndex||this._element.removeAttribute(\"tabindex\")),t){if(!(\"offset\"in t.options)){var e=13.5,r=Math.sqrt(Math.pow(e,2)/2);t.options.offset=this._defaultMarker?{top:[0,0],\"top-left\":[0,0],\"top-right\":[0,0],bottom:[0,-38.1],\"bottom-left\":[r,-1*(24.6+r)],\"bottom-right\":[-r,-1*(24.6+r)],left:[e,-24.6],right:[-13.5,-24.6]}:this._offset}this._popup=t,this._lngLat&&this._popup.setLngLat(this._lngLat),this._originalTabIndex=this._element.getAttribute(\"tabindex\"),this._originalTabIndex||this._element.setAttribute(\"tabindex\",\"0\"),this._element.addEventListener(\"keypress\",this._onKeyPress)}return this},n.prototype._onKeyPress=function(t){var e=t.code,r=t.charCode||t.keyCode;\"Space\"!==e&&\"Enter\"!==e&&32!==r&&13!==r||this.togglePopup()},n.prototype._onMapClick=function(t){var e=t.originalEvent.target,r=this._element;this._popup&&(e===r||r.contains(e))&&this.togglePopup()},n.prototype.getPopup=function(){return this._popup},n.prototype.togglePopup=function(){var t=this._popup;return t?(t.isOpen()?t.remove():t.addTo(this._map),this):this},n.prototype._update=function(t){if(this._map){this._map.transform.renderWorldCopies&&(this._lngLat=ji(this._lngLat,this._pos,this._map.transform)),this._pos=this._map.project(this._lngLat)._add(this._offset);var e=\"\";\"viewport\"===this._rotationAlignment||\"auto\"===this._rotationAlignment?e=\"rotateZ(\"+this._rotation+\"deg)\":\"map\"===this._rotationAlignment&&(e=\"rotateZ(\"+(this._rotation-this._map.getBearing())+\"deg)\");var n=\"\";\"viewport\"===this._pitchAlignment||\"auto\"===this._pitchAlignment?n=\"rotateX(0deg)\":\"map\"===this._pitchAlignment&&(n=\"rotateX(\"+this._map.getPitch()+\"deg)\"),t&&\"moveend\"!==t.type||(this._pos=this._pos.round()),r.setTransform(this._element,Ui[this._anchor]+\" translate(\"+this._pos.x+\"px, \"+this._pos.y+\"px) \"+n+\" \"+e)}},n.prototype.getOffset=function(){return this._offset},n.prototype.setOffset=function(e){return this._offset=t.Point.convert(e),this._update(),this},n.prototype._onMove=function(e){this._pos=e.point.sub(this._positionDelta),this._lngLat=this._map.unproject(this._pos),this.setLngLat(this._lngLat),this._element.style.pointerEvents=\"none\",\"pending\"===this._state&&(this._state=\"active\",this.fire(new t.Event(\"dragstart\"))),this.fire(new t.Event(\"drag\"))},n.prototype._onUp=function(){this._element.style.pointerEvents=\"auto\",this._positionDelta=null,this._map.off(\"mousemove\",this._onMove),this._map.off(\"touchmove\",this._onMove),\"active\"===this._state&&this.fire(new t.Event(\"dragend\")),this._state=\"inactive\"},n.prototype._addDragHandler=function(t){this._element.contains(t.originalEvent.target)&&(t.preventDefault(),this._positionDelta=t.point.sub(this._pos).add(this._offset),this._state=\"pending\",this._map.on(\"mousemove\",this._onMove),this._map.on(\"touchmove\",this._onMove),this._map.once(\"mouseup\",this._onUp),this._map.once(\"touchend\",this._onUp))},n.prototype.setDraggable=function(t){return this._draggable=!!t,this._map&&(t?(this._map.on(\"mousedown\",this._addDragHandler),this._map.on(\"touchstart\",this._addDragHandler)):(this._map.off(\"mousedown\",this._addDragHandler),this._map.off(\"touchstart\",this._addDragHandler))),this},n.prototype.isDraggable=function(){return this._draggable},n.prototype.setRotation=function(t){return this._rotation=t||0,this._update(),this},n.prototype.getRotation=function(){return this._rotation},n.prototype.setRotationAlignment=function(t){return this._rotationAlignment=t||\"auto\",this._update(),this},n.prototype.getRotationAlignment=function(){return this._rotationAlignment},n.prototype.setPitchAlignment=function(t){return this._pitchAlignment=t&&\"auto\"!==t?t:this._rotationAlignment,this._update(),this},n.prototype.getPitchAlignment=function(){return this._pitchAlignment},n}(t.Evented),Gi={positionOptions:{enableHighAccuracy:!1,maximumAge:0,timeout:6e3},fitBoundsOptions:{maxZoom:15},trackUserLocation:!1,showAccuracyCircle:!0,showUserLocation:!0};var Zi=0,Yi=!1,Wi=function(e){function n(r){e.call(this),this.options=t.extend({},Gi,r),t.bindAll([\"_onSuccess\",\"_onError\",\"_onZoom\",\"_finish\",\"_setupUI\",\"_updateCamera\",\"_updateMarker\"],this)}return e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n,n.prototype.onAdd=function(e){return this._map=e,this._container=r.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-group\"),n=this._setupUI,void 0!==Hi?n(Hi):void 0!==t.window.navigator.permissions?t.window.navigator.permissions.query({name:\"geolocation\"}).then((function(t){Hi=\"denied\"!==t.state,n(Hi)})):(Hi=!!t.window.navigator.geolocation,n(Hi)),this._container;var n},n.prototype.onRemove=function(){void 0!==this._geolocationWatchID&&(t.window.navigator.geolocation.clearWatch(this._geolocationWatchID),this._geolocationWatchID=void 0),this.options.showUserLocation&&this._userLocationDotMarker&&this._userLocationDotMarker.remove(),this.options.showAccuracyCircle&&this._accuracyCircleMarker&&this._accuracyCircleMarker.remove(),r.remove(this._container),this._map.off(\"zoom\",this._onZoom),this._map=void 0,Zi=0,Yi=!1},n.prototype._isOutOfMapMaxBounds=function(t){var e=this._map.getMaxBounds(),r=t.coords;return e&&(r.longitude<e.getWest()||r.longitude>e.getEast()||r.latitude<e.getSouth()||r.latitude>e.getNorth())},n.prototype._setErrorState=function(){switch(this._watchState){case\"WAITING_ACTIVE\":this._watchState=\"ACTIVE_ERROR\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active-error\");break;case\"ACTIVE_LOCK\":this._watchState=\"ACTIVE_ERROR\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\");break;case\"BACKGROUND\":this._watchState=\"BACKGROUND_ERROR\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background-error\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\")}},n.prototype._onSuccess=function(e){if(this._map){if(this._isOutOfMapMaxBounds(e))return this._setErrorState(),this.fire(new t.Event(\"outofmaxbounds\",e)),this._updateMarker(),void this._finish();if(this.options.trackUserLocation)switch(this._lastKnownPosition=e,this._watchState){case\"WAITING_ACTIVE\":case\"ACTIVE_LOCK\":case\"ACTIVE_ERROR\":this._watchState=\"ACTIVE_LOCK\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active\");break;case\"BACKGROUND\":case\"BACKGROUND_ERROR\":this._watchState=\"BACKGROUND\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background-error\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background\")}this.options.showUserLocation&&\"OFF\"!==this._watchState&&this._updateMarker(e),this.options.trackUserLocation&&\"ACTIVE_LOCK\"!==this._watchState||this._updateCamera(e),this.options.showUserLocation&&this._dotElement.classList.remove(\"mapboxgl-user-location-dot-stale\"),this.fire(new t.Event(\"geolocate\",e)),this._finish()}},n.prototype._updateCamera=function(e){var r=new t.LngLat(e.coords.longitude,e.coords.latitude),n=e.coords.accuracy,i=this._map.getBearing(),a=t.extend({bearing:i},this.options.fitBoundsOptions);this._map.fitBounds(r.toBounds(n),a,{geolocateSource:!0})},n.prototype._updateMarker=function(e){if(e){var r=new t.LngLat(e.coords.longitude,e.coords.latitude);this._accuracyCircleMarker.setLngLat(r).addTo(this._map),this._userLocationDotMarker.setLngLat(r).addTo(this._map),this._accuracy=e.coords.accuracy,this.options.showUserLocation&&this.options.showAccuracyCircle&&this._updateCircleRadius()}else this._userLocationDotMarker.remove(),this._accuracyCircleMarker.remove()},n.prototype._updateCircleRadius=function(){var t=this._map._container.clientHeight/2,e=this._map.unproject([0,t]),r=this._map.unproject([1,t]),n=e.distanceTo(r),i=Math.ceil(2*this._accuracy/n);this._circleElement.style.width=i+\"px\",this._circleElement.style.height=i+\"px\"},n.prototype._onZoom=function(){this.options.showUserLocation&&this.options.showAccuracyCircle&&this._updateCircleRadius()},n.prototype._onError=function(e){if(this._map){if(this.options.trackUserLocation)if(1===e.code){this._watchState=\"OFF\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background-error\"),this._geolocateButton.disabled=!0;var r=this._map._getUIString(\"GeolocateControl.LocationNotAvailable\");this._geolocateButton.title=r,this._geolocateButton.setAttribute(\"aria-label\",r),void 0!==this._geolocationWatchID&&this._clearWatch()}else{if(3===e.code&&Yi)return;this._setErrorState()}\"OFF\"!==this._watchState&&this.options.showUserLocation&&this._dotElement.classList.add(\"mapboxgl-user-location-dot-stale\"),this.fire(new t.Event(\"error\",e)),this._finish()}},n.prototype._finish=function(){this._timeoutId&&clearTimeout(this._timeoutId),this._timeoutId=void 0},n.prototype._setupUI=function(e){var n=this;if(this._container.addEventListener(\"contextmenu\",(function(t){return t.preventDefault()})),this._geolocateButton=r.create(\"button\",\"mapboxgl-ctrl-geolocate\",this._container),r.create(\"span\",\"mapboxgl-ctrl-icon\",this._geolocateButton).setAttribute(\"aria-hidden\",!0),this._geolocateButton.type=\"button\",!1===e){t.warnOnce(\"Geolocation support is not available so the GeolocateControl will be disabled.\");var i=this._map._getUIString(\"GeolocateControl.LocationNotAvailable\");this._geolocateButton.disabled=!0,this._geolocateButton.title=i,this._geolocateButton.setAttribute(\"aria-label\",i)}else{var a=this._map._getUIString(\"GeolocateControl.FindMyLocation\");this._geolocateButton.title=a,this._geolocateButton.setAttribute(\"aria-label\",a)}this.options.trackUserLocation&&(this._geolocateButton.setAttribute(\"aria-pressed\",\"false\"),this._watchState=\"OFF\"),this.options.showUserLocation&&(this._dotElement=r.create(\"div\",\"mapboxgl-user-location-dot\"),this._userLocationDotMarker=new qi(this._dotElement),this._circleElement=r.create(\"div\",\"mapboxgl-user-location-accuracy-circle\"),this._accuracyCircleMarker=new qi({element:this._circleElement,pitchAlignment:\"map\"}),this.options.trackUserLocation&&(this._watchState=\"OFF\"),this._map.on(\"zoom\",this._onZoom)),this._geolocateButton.addEventListener(\"click\",this.trigger.bind(this)),this._setup=!0,this.options.trackUserLocation&&this._map.on(\"movestart\",(function(e){var r=e.originalEvent&&\"resize\"===e.originalEvent.type;e.geolocateSource||\"ACTIVE_LOCK\"!==n._watchState||r||(n._watchState=\"BACKGROUND\",n._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background\"),n._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),n.fire(new t.Event(\"trackuserlocationend\")))}))},n.prototype.trigger=function(){if(!this._setup)return t.warnOnce(\"Geolocate control triggered before added to a map\"),!1;if(this.options.trackUserLocation){switch(this._watchState){case\"OFF\":this._watchState=\"WAITING_ACTIVE\",this.fire(new t.Event(\"trackuserlocationstart\"));break;case\"WAITING_ACTIVE\":case\"ACTIVE_LOCK\":case\"ACTIVE_ERROR\":case\"BACKGROUND_ERROR\":Zi--,Yi=!1,this._watchState=\"OFF\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background-error\"),this.fire(new t.Event(\"trackuserlocationend\"));break;case\"BACKGROUND\":this._watchState=\"ACTIVE_LOCK\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background\"),this._lastKnownPosition&&this._updateCamera(this._lastKnownPosition),this.fire(new t.Event(\"trackuserlocationstart\"))}switch(this._watchState){case\"WAITING_ACTIVE\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active\");break;case\"ACTIVE_LOCK\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active\");break;case\"ACTIVE_ERROR\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active-error\");break;case\"BACKGROUND\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background\");break;case\"BACKGROUND_ERROR\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background-error\")}if(\"OFF\"===this._watchState&&void 0!==this._geolocationWatchID)this._clearWatch();else if(void 0===this._geolocationWatchID){var e;this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.setAttribute(\"aria-pressed\",\"true\"),++Zi>1?(e={maximumAge:6e5,timeout:0},Yi=!0):(e=this.options.positionOptions,Yi=!1),this._geolocationWatchID=t.window.navigator.geolocation.watchPosition(this._onSuccess,this._onError,e)}}else t.window.navigator.geolocation.getCurrentPosition(this._onSuccess,this._onError,this.options.positionOptions),this._timeoutId=setTimeout(this._finish,1e4);return!0},n.prototype._clearWatch=function(){t.window.navigator.geolocation.clearWatch(this._geolocationWatchID),this._geolocationWatchID=void 0,this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.setAttribute(\"aria-pressed\",\"false\"),this.options.showUserLocation&&this._updateMarker(null)},n}(t.Evented),Xi={maxWidth:100,unit:\"metric\"},Ji=function(e){this.options=t.extend({},Xi,e),t.bindAll([\"_onMove\",\"setUnit\"],this)};function Ki(t,e,r){var n=r&&r.maxWidth||100,i=t._container.clientHeight/2,a=t.unproject([0,i]),o=t.unproject([n,i]),s=a.distanceTo(o);if(r&&\"imperial\"===r.unit){var l=3.2808*s;l>5280?$i(e,n,l/5280,t._getUIString(\"ScaleControl.Miles\")):$i(e,n,l,t._getUIString(\"ScaleControl.Feet\"))}else r&&\"nautical\"===r.unit?$i(e,n,s/1852,t._getUIString(\"ScaleControl.NauticalMiles\")):s>=1e3?$i(e,n,s/1e3,t._getUIString(\"ScaleControl.Kilometers\")):$i(e,n,s,t._getUIString(\"ScaleControl.Meters\"))}function $i(t,e,r,n){var i,a,o,s=(i=r,(a=Math.pow(10,(\"\"+Math.floor(i)).length-1))*((o=i/a)>=10?10:o>=5?5:o>=3?3:o>=2?2:o>=1?1:function(t){var e=Math.pow(10,Math.ceil(-Math.log(t)/Math.LN10));return Math.round(t*e)/e}(o))),l=s/r;t.style.width=e*l+\"px\",t.innerHTML=s+\"&nbsp;\"+n}Ji.prototype.getDefaultPosition=function(){return\"bottom-left\"},Ji.prototype._onMove=function(){Ki(this._map,this._container,this.options)},Ji.prototype.onAdd=function(t){return this._map=t,this._container=r.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-scale\",t.getContainer()),this._map.on(\"move\",this._onMove),this._onMove(),this._container},Ji.prototype.onRemove=function(){r.remove(this._container),this._map.off(\"move\",this._onMove),this._map=void 0},Ji.prototype.setUnit=function(t){this.options.unit=t,Ki(this._map,this._container,this.options)};var Qi=function(e){this._fullscreen=!1,e&&e.container&&(e.container instanceof t.window.HTMLElement?this._container=e.container:t.warnOnce(\"Full screen control 'container' must be a DOM element.\")),t.bindAll([\"_onClickFullscreen\",\"_changeIcon\"],this),\"onfullscreenchange\"in t.window.document?this._fullscreenchange=\"fullscreenchange\":\"onmozfullscreenchange\"in t.window.document?this._fullscreenchange=\"mozfullscreenchange\":\"onwebkitfullscreenchange\"in t.window.document?this._fullscreenchange=\"webkitfullscreenchange\":\"onmsfullscreenchange\"in t.window.document&&(this._fullscreenchange=\"MSFullscreenChange\")};Qi.prototype.onAdd=function(e){return this._map=e,this._container||(this._container=this._map.getContainer()),this._controlContainer=r.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-group\"),this._checkFullscreenSupport()?this._setupUI():(this._controlContainer.style.display=\"none\",t.warnOnce(\"This device does not support fullscreen mode.\")),this._controlContainer},Qi.prototype.onRemove=function(){r.remove(this._controlContainer),this._map=null,t.window.document.removeEventListener(this._fullscreenchange,this._changeIcon)},Qi.prototype._checkFullscreenSupport=function(){return!!(t.window.document.fullscreenEnabled||t.window.document.mozFullScreenEnabled||t.window.document.msFullscreenEnabled||t.window.document.webkitFullscreenEnabled)},Qi.prototype._setupUI=function(){var e=this._fullscreenButton=r.create(\"button\",\"mapboxgl-ctrl-fullscreen\",this._controlContainer);r.create(\"span\",\"mapboxgl-ctrl-icon\",e).setAttribute(\"aria-hidden\",!0),e.type=\"button\",this._updateTitle(),this._fullscreenButton.addEventListener(\"click\",this._onClickFullscreen),t.window.document.addEventListener(this._fullscreenchange,this._changeIcon)},Qi.prototype._updateTitle=function(){var t=this._getTitle();this._fullscreenButton.setAttribute(\"aria-label\",t),this._fullscreenButton.title=t},Qi.prototype._getTitle=function(){return this._map._getUIString(this._isFullscreen()?\"FullscreenControl.Exit\":\"FullscreenControl.Enter\")},Qi.prototype._isFullscreen=function(){return this._fullscreen},Qi.prototype._changeIcon=function(){(t.window.document.fullscreenElement||t.window.document.mozFullScreenElement||t.window.document.webkitFullscreenElement||t.window.document.msFullscreenElement)===this._container!==this._fullscreen&&(this._fullscreen=!this._fullscreen,this._fullscreenButton.classList.toggle(\"mapboxgl-ctrl-shrink\"),this._fullscreenButton.classList.toggle(\"mapboxgl-ctrl-fullscreen\"),this._updateTitle())},Qi.prototype._onClickFullscreen=function(){this._isFullscreen()?t.window.document.exitFullscreen?t.window.document.exitFullscreen():t.window.document.mozCancelFullScreen?t.window.document.mozCancelFullScreen():t.window.document.msExitFullscreen?t.window.document.msExitFullscreen():t.window.document.webkitCancelFullScreen&&t.window.document.webkitCancelFullScreen():this._container.requestFullscreen?this._container.requestFullscreen():this._container.mozRequestFullScreen?this._container.mozRequestFullScreen():this._container.msRequestFullscreen?this._container.msRequestFullscreen():this._container.webkitRequestFullscreen&&this._container.webkitRequestFullscreen()};var ta={closeButton:!0,closeOnClick:!0,className:\"\",maxWidth:\"240px\"},ea=function(e){function n(r){e.call(this),this.options=t.extend(Object.create(ta),r),t.bindAll([\"_update\",\"_onClose\",\"remove\",\"_onMouseMove\",\"_onMouseUp\",\"_onDrag\"],this)}return e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n,n.prototype.addTo=function(e){return this._map&&this.remove(),this._map=e,this.options.closeOnClick&&this._map.on(\"click\",this._onClose),this.options.closeOnMove&&this._map.on(\"move\",this._onClose),this._map.on(\"remove\",this.remove),this._update(),this._trackPointer?(this._map.on(\"mousemove\",this._onMouseMove),this._map.on(\"mouseup\",this._onMouseUp),this._container&&this._container.classList.add(\"mapboxgl-popup-track-pointer\"),this._map._canvasContainer.classList.add(\"mapboxgl-track-pointer\")):this._map.on(\"move\",this._update),this.fire(new t.Event(\"open\")),this},n.prototype.isOpen=function(){return!!this._map},n.prototype.remove=function(){return this._content&&r.remove(this._content),this._container&&(r.remove(this._container),delete this._container),this._map&&(this._map.off(\"move\",this._update),this._map.off(\"move\",this._onClose),this._map.off(\"click\",this._onClose),this._map.off(\"remove\",this.remove),this._map.off(\"mousemove\",this._onMouseMove),this._map.off(\"mouseup\",this._onMouseUp),this._map.off(\"drag\",this._onDrag),delete this._map),this.fire(new t.Event(\"close\")),this},n.prototype.getLngLat=function(){return this._lngLat},n.prototype.setLngLat=function(e){return this._lngLat=t.LngLat.convert(e),this._pos=null,this._trackPointer=!1,this._update(),this._map&&(this._map.on(\"move\",this._update),this._map.off(\"mousemove\",this._onMouseMove),this._container&&this._container.classList.remove(\"mapboxgl-popup-track-pointer\"),this._map._canvasContainer.classList.remove(\"mapboxgl-track-pointer\")),this},n.prototype.trackPointer=function(){return this._trackPointer=!0,this._pos=null,this._update(),this._map&&(this._map.off(\"move\",this._update),this._map.on(\"mousemove\",this._onMouseMove),this._map.on(\"drag\",this._onDrag),this._container&&this._container.classList.add(\"mapboxgl-popup-track-pointer\"),this._map._canvasContainer.classList.add(\"mapboxgl-track-pointer\")),this},n.prototype.getElement=function(){return this._container},n.prototype.setText=function(e){return this.setDOMContent(t.window.document.createTextNode(e))},n.prototype.setHTML=function(e){var r,n=t.window.document.createDocumentFragment(),i=t.window.document.createElement(\"body\");for(i.innerHTML=e;r=i.firstChild;)n.appendChild(r);return this.setDOMContent(n)},n.prototype.getMaxWidth=function(){return this._container&&this._container.style.maxWidth},n.prototype.setMaxWidth=function(t){return this.options.maxWidth=t,this._update(),this},n.prototype.setDOMContent=function(t){return this._createContent(),this._content.appendChild(t),this._update(),this},n.prototype.addClassName=function(t){this._container&&this._container.classList.add(t)},n.prototype.removeClassName=function(t){this._container&&this._container.classList.remove(t)},n.prototype.toggleClassName=function(t){if(this._container)return this._container.classList.toggle(t)},n.prototype._createContent=function(){this._content&&r.remove(this._content),this._content=r.create(\"div\",\"mapboxgl-popup-content\",this._container),this.options.closeButton&&(this._closeButton=r.create(\"button\",\"mapboxgl-popup-close-button\",this._content),this._closeButton.type=\"button\",this._closeButton.setAttribute(\"aria-label\",\"Close popup\"),this._closeButton.innerHTML=\"&#215;\",this._closeButton.addEventListener(\"click\",this._onClose))},n.prototype._onMouseUp=function(t){this._update(t.point)},n.prototype._onMouseMove=function(t){this._update(t.point)},n.prototype._onDrag=function(t){this._update(t.point)},n.prototype._update=function(t){var e=this,n=this._lngLat||this._trackPointer;if(this._map&&n&&this._content&&(this._container||(this._container=r.create(\"div\",\"mapboxgl-popup\",this._map.getContainer()),this._tip=r.create(\"div\",\"mapboxgl-popup-tip\",this._container),this._container.appendChild(this._content),this.options.className&&this.options.className.split(\" \").forEach((function(t){return e._container.classList.add(t)})),this._trackPointer&&this._container.classList.add(\"mapboxgl-popup-track-pointer\")),this.options.maxWidth&&this._container.style.maxWidth!==this.options.maxWidth&&(this._container.style.maxWidth=this.options.maxWidth),this._map.transform.renderWorldCopies&&!this._trackPointer&&(this._lngLat=ji(this._lngLat,this._pos,this._map.transform)),!this._trackPointer||t)){var i=this._pos=this._trackPointer&&t?t:this._map.project(this._lngLat),a=this.options.anchor,o=ra(this.options.offset);if(!a){var s,l=this._container.offsetWidth,u=this._container.offsetHeight;s=i.y+o.bottom.y<u?[\"top\"]:i.y>this._map.transform.height-u?[\"bottom\"]:[],i.x<l/2?s.push(\"left\"):i.x>this._map.transform.width-l/2&&s.push(\"right\"),a=0===s.length?\"bottom\":s.join(\"-\")}var c=i.add(o[a]).round();r.setTransform(this._container,Ui[a]+\" translate(\"+c.x+\"px,\"+c.y+\"px)\"),Vi(this._container,a,\"popup\")}},n.prototype._onClose=function(){this.remove()},n}(t.Evented);function ra(e){if(e){if(\"number\"==typeof e){var r=Math.round(Math.sqrt(.5*Math.pow(e,2)));return{center:new t.Point(0,0),top:new t.Point(0,e),\"top-left\":new t.Point(r,r),\"top-right\":new t.Point(-r,r),bottom:new t.Point(0,-e),\"bottom-left\":new t.Point(r,-r),\"bottom-right\":new t.Point(-r,-r),left:new t.Point(e,0),right:new t.Point(-e,0)}}if(e instanceof t.Point||Array.isArray(e)){var n=t.Point.convert(e);return{center:n,top:n,\"top-left\":n,\"top-right\":n,bottom:n,\"bottom-left\":n,\"bottom-right\":n,left:n,right:n}}return{center:t.Point.convert(e.center||[0,0]),top:t.Point.convert(e.top||[0,0]),\"top-left\":t.Point.convert(e[\"top-left\"]||[0,0]),\"top-right\":t.Point.convert(e[\"top-right\"]||[0,0]),bottom:t.Point.convert(e.bottom||[0,0]),\"bottom-left\":t.Point.convert(e[\"bottom-left\"]||[0,0]),\"bottom-right\":t.Point.convert(e[\"bottom-right\"]||[0,0]),left:t.Point.convert(e.left||[0,0]),right:t.Point.convert(e.right||[0,0])}}return ra(new t.Point(0,0))}var na={version:t.version,supported:e,setRTLTextPlugin:t.setRTLTextPlugin,getRTLTextPluginStatus:t.getRTLTextPluginStatus,Map:zi,NavigationControl:Bi,GeolocateControl:Wi,AttributionControl:Mi,ScaleControl:Ji,FullscreenControl:Qi,Popup:ea,Marker:qi,Style:Ye,LngLat:t.LngLat,LngLatBounds:t.LngLatBounds,Point:t.Point,MercatorCoordinate:t.MercatorCoordinate,Evented:t.Evented,config:t.config,prewarm:function(){jt().acquire(Rt)},clearPrewarmedResources:function(){var t=Bt;t&&(t.isPreloaded()&&1===t.numActive()?(t.release(Rt),Bt=null):console.warn(\"Could not clear WebWorkers since there are active Map instances that still reference it. 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e=[u(t.region,!1)];c.push(e);for(var r=0;r<t.children.length;r++)e.push(h(t.children[r]))}function h(t){for(var e=0;e<t.children.length;e++)f(t.children[e]);return u(t.region,!0)}for(s=0;s<a.children.length;s++)f(a.children[s]);return c.length<=0?{type:\"Polygon\",coordinates:[]}:1==c.length?{type:\"Polygon\",coordinates:c[0]}:{type:\"MultiPolygon\",coordinates:c}}};t.exports=e},87263:function(t,e,r){var n=r(26859);t.exports=function(t,e,r){function i(t,e,n){return{id:r?r.segmentId():-1,start:t,end:e,myFill:{above:n.myFill.above,below:n.myFill.below},otherFill:null}}var a=n.create();function o(t,r){a.insertBefore(t,(function(n){return i=t.isStart,a=t.pt,o=r,s=n.isStart,l=n.pt,u=n.other.pt,(0!==(c=e.pointsCompare(a,l))?c:e.pointsSame(o,u)?0:i!==s?i?1:-1:e.pointAboveOrOnLine(o,s?l:u,s?u:l)?1:-1)<0;var i,a,o,s,l,u,c}))}function s(t,e){var r=function(t,e){var r=n.node({isStart:!0,pt:t.start,seg:t,primary:e,other:null,status:null});return o(r,t.end),r}(t,e);return function(t,e,r){var i=n.node({isStart:!1,pt:e.end,seg:e,primary:r,other:t,status:null});t.other=i,o(i,t.pt)}(r,t,e),r}function l(t,e){var n=i(e,t.seg.end,t.seg);return function(t,e){r&&r.segmentChop(t.seg,e),t.other.remove(),t.seg.end=e,t.other.pt=e,o(t.other,t.pt)}(t,e),s(n,t.primary)}function u(i,o){var s=n.create();function u(t){return s.findTransition((function(r){var n,i,a,o,s,l;return n=t,i=r.ev,a=n.seg.start,o=n.seg.end,s=i.seg.start,l=i.seg.end,(e.pointsCollinear(a,s,l)?e.pointsCollinear(o,s,l)||e.pointAboveOrOnLine(o,s,l)?1:-1:e.pointAboveOrOnLine(a,s,l)?1:-1)>0}))}function c(t,n){var i=t.seg,a=n.seg,o=i.start,s=i.end,u=a.start,c=a.end;r&&r.checkIntersection(i,a);var f=e.linesIntersect(o,s,u,c);if(!1===f){if(!e.pointsCollinear(o,s,u))return!1;if(e.pointsSame(o,c)||e.pointsSame(s,u))return!1;var h=e.pointsSame(o,u),p=e.pointsSame(s,c);if(h&&p)return n;var d=!h&&e.pointBetween(o,u,c),v=!p&&e.pointBetween(s,u,c);if(h)return v?l(n,s):l(t,c),n;d&&(p||(v?l(n,s):l(t,c)),l(n,o))}else 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a=n[t],o=n[i],s=a[a.length-1],l=a[a.length-2],u=o[0],c=o[1];e.pointsCollinear(l,s,u)&&(r&&r.chainRemoveTail(t,s),a.pop(),s=l),e.pointsCollinear(s,u,c)&&(r&&r.chainRemoveHead(i,u),o.shift()),r&&r.chainJoin(t,i),n[t]=a.concat(o),n.splice(i,1)}})),i}},55968:function(t){function e(t,e,r){var n=[];return t.forEach((function(t){var i=(t.myFill.above?8:0)+(t.myFill.below?4:0)+(t.otherFill&&t.otherFill.above?2:0)+(t.otherFill&&t.otherFill.below?1:0);0!==e[i]&&n.push({id:r?r.segmentId():-1,start:t.start,end:t.end,myFill:{above:1===e[i],below:2===e[i]},otherFill:null})})),r&&r.selected(n),n}var r={union:function(t,r){return e(t,[0,2,1,0,2,2,0,0,1,0,1,0,0,0,0,0],r)},intersect:function(t,r){return e(t,[0,0,0,0,0,2,0,2,0,0,1,1,0,2,1,0],r)},difference:function(t,r){return e(t,[0,0,0,0,2,0,2,0,1,1,0,0,0,1,2,0],r)},differenceRev:function(t,r){return e(t,[0,2,1,0,0,0,1,1,0,2,0,2,0,0,0,0],r)},xor:function(t,r){return e(t,[0,2,1,0,2,0,0,1,1,0,0,2,0,1,2,0],r)}};t.exports=r},14847:function(t,e,r){\"use 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t&&(t=x[t]),null!=t&&t&&t.count&&t.color&&t.opacity&&t.positions&&t.positions.length>1&&(t.scaleRatio=[t.scale[0]*t.viewport.width,t.scale[1]*t.viewport.height],r(t),t.after&&t.after(t))}function T(t){if(t){null!=t.length?\"number\"==typeof t[0]&&(t=[{positions:t}]):Array.isArray(t)||(t=[t]);var e=0,r=0;if(b.groups=x=t.map((function(t,u){var c=x[u];return t?(\"function\"==typeof t?t={after:t}:\"number\"==typeof t[0]&&(t={positions:t}),t=o(t,{color:\"color colors fill\",capSize:\"capSize cap capsize cap-size\",lineWidth:\"lineWidth line-width width line thickness\",opacity:\"opacity alpha\",range:\"range dataBox\",viewport:\"viewport viewBox\",errors:\"errors error\",positions:\"positions position data points\"}),c||(x[u]=c={id:u,scale:null,translate:null,scaleFract:null,translateFract:null,draw:!0},t=s({},m,t)),a(c,t,[{lineWidth:function(t){return.5*+t},capSize:function(t){return.5*+t},opacity:parseFloat,errors:function(t){return t=l(t),r+=t.length,t},positions:function(t,r){return t=l(t,\"float64\"),r.count=Math.floor(t.length/2),r.bounds=n(t,2),r.offset=e,e+=r.count,t}},{color:function(t,e){var r=e.count;if(t||(t=\"transparent\"),!Array.isArray(t)||\"number\"==typeof t[0]){var n=t;t=Array(r);for(var a=0;a<r;a++)t[a]=n}if(t.length<r)throw Error(\"Not enough colors\");for(var o=new Uint8Array(4*r),s=0;s<r;s++){var l=i(t[s],\"uint8\");o.set(l,4*s)}return o},range:function(t,e,r){var n=e.bounds;return t||(t=n),e.scale=[1/(t[2]-t[0]),1/(t[3]-t[1])],e.translate=[-t[0],-t[1]],e.scaleFract=f(e.scale),e.translateFract=f(e.translate),t},viewport:function(t){var e;return Array.isArray(t)?e={x:t[0],y:t[1],width:t[2]-t[0],height:t[3]-t[1]}:t?(e={x:t.x||t.left||0,y:t.y||t.top||0},t.right?e.width=t.right-e.x:e.width=t.w||t.width||0,t.bottom?e.height=t.bottom-e.y:e.height=t.h||t.height||0):e={x:0,y:0,width:y.drawingBufferWidth,height:y.drawingBufferHeight},e}}]),c):c})),e||r){var h=x.reduce((function(t,e,r){return t+(e?e.count:0)}),0),g=new Float64Array(2*h),_=new Uint8Array(4*h),w=new Float32Array(4*h);x.forEach((function(t,e){if(t){var r=t.positions,n=t.count,i=t.offset,a=t.color,o=t.errors;n&&(_.set(a,4*i),w.set(o,4*i),g.set(r,2*i))}}));var T=c(g);u(T);var k=f(g,T);p(k),d(_),v(w)}}}function k(){u.destroy(),p.destroy(),d.destroy(),v.destroy(),g.destroy()}};var h=[[1,0,0,1,0,0],[1,0,0,-1,0,0],[-1,0,0,-1,0,0],[-1,0,0,-1,0,0],[-1,0,0,1,0,0],[1,0,0,1,0,0],[1,0,-1,0,0,1],[1,0,-1,0,0,-1],[1,0,1,0,0,-1],[1,0,1,0,0,-1],[1,0,1,0,0,1],[1,0,-1,0,0,1],[-1,0,-1,0,0,1],[-1,0,-1,0,0,-1],[-1,0,1,0,0,-1],[-1,0,1,0,0,-1],[-1,0,1,0,0,1],[-1,0,-1,0,0,1],[0,1,1,0,0,0],[0,1,-1,0,0,0],[0,-1,-1,0,0,0],[0,-1,-1,0,0,0],[0,1,1,0,0,0],[0,-1,1,0,0,0],[0,1,0,-1,1,0],[0,1,0,-1,-1,0],[0,1,0,1,-1,0],[0,1,0,1,1,0],[0,1,0,-1,1,0],[0,1,0,1,-1,0],[0,-1,0,-1,1,0],[0,-1,0,-1,-1,0],[0,-1,0,1,-1,0],[0,-1,0,1,1,0],[0,-1,0,-1,1,0],[0,-1,0,1,-1,0]]},46075:function(t,e,r){\"use strict\";var n=r(25075),i=r(21527),a=r(56131),o=r(56068),s=r(71299),l=r(30120),u=r(11474),c=r(54),f=r(57060),h=f.float32,p=f.fract32,d=r(83522),v=r(18863),g=r(6851);function y(t,e){if(!(this instanceof y))return new y(t,e);if(\"function\"==typeof t?(e||(e={}),e.regl=t):e=t,e.length&&(e.positions=e),!(t=e.regl).hasExtension(\"ANGLE_instanced_arrays\"))throw Error(\"regl-error2d: `ANGLE_instanced_arrays` extension should be enabled\");this.gl=t._gl,this.regl=t,this.passes=[],this.shaders=y.shaders.has(t)?y.shaders.get(t):y.shaders.set(t,y.createShaders(t)).get(t),this.update(e)}t.exports=y,y.dashMult=2,y.maxPatternLength=256,y.precisionThreshold=3e6,y.maxPoints=1e4,y.maxLines=2048,y.shaders=new d,y.createShaders=function(t){var e,r=t.buffer({usage:\"static\",type:\"float\",data:[0,1,0,0,1,1,1,0]}),n={primitive:\"triangle strip\",instances:t.prop(\"count\"),count:4,offset:0,uniforms:{miterMode:function(t,e){return\"round\"===e.join?2:1},miterLimit:t.prop(\"miterLimit\"),scale:t.prop(\"scale\"),scaleFract:t.prop(\"scaleFract\"),translateFract:t.prop(\"translateFract\"),translate:t.prop(\"translate\"),thickness:t.prop(\"thickness\"),dashTexture:t.prop(\"dashTexture\"),opacity:t.prop(\"opacity\"),pixelRatio:t.context(\"pixelRatio\"),id:t.prop(\"id\"),dashLength:t.prop(\"dashLength\"),viewport:function(t,e){return[e.viewport.x,e.viewport.y,t.viewportWidth,t.viewportHeight]},depth:t.prop(\"depth\")},blend:{enable:!0,color:[0,0,0,0],equation:{rgb:\"add\",alpha:\"add\"},func:{srcRGB:\"src alpha\",dstRGB:\"one minus src alpha\",srcAlpha:\"one minus dst alpha\",dstAlpha:\"one\"}},depth:{enable:function(t,e){return!e.overlay}},stencil:{enable:!1},scissor:{enable:!0,box:t.prop(\"viewport\")},viewport:t.prop(\"viewport\")},i=t(a({vert:o([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec2 aCoord, bCoord, aCoordFract, bCoordFract;\\nattribute vec4 color;\\nattribute float lineEnd, lineTop;\\n\\nuniform vec2 scale, scaleFract, translate, translateFract;\\nuniform float thickness, pixelRatio, id, depth;\\nuniform vec4 viewport;\\n\\nvarying vec4 fragColor;\\nvarying vec2 tangent;\\n\\nvec2 project(vec2 position, vec2 positionFract, vec2 scale, vec2 scaleFract, vec2 translate, vec2 translateFract) {\\n\\t// the order is important\\n\\treturn position * scale + translate\\n       + positionFract * scale + translateFract\\n       + position * scaleFract\\n       + positionFract * scaleFract;\\n}\\n\\nvoid main() {\\n\\tfloat lineStart = 1. - lineEnd;\\n\\tfloat lineOffset = lineTop * 2. - 1.;\\n\\n\\tvec2 diff = (bCoord + bCoordFract - aCoord - aCoordFract);\\n\\ttangent = normalize(diff * scale * viewport.zw);\\n\\tvec2 normal = vec2(-tangent.y, tangent.x);\\n\\n\\tvec2 position = project(aCoord, aCoordFract, scale, scaleFract, translate, translateFract) * lineStart\\n\\t\\t+ project(bCoord, bCoordFract, scale, scaleFract, translate, translateFract) * lineEnd\\n\\n\\t\\t+ thickness * normal * .5 * lineOffset / viewport.zw;\\n\\n\\tgl_Position = vec4(position * 2.0 - 1.0, depth, 1);\\n\\n\\tfragColor = color / 255.;\\n}\\n\"]),frag:o([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform float dashLength, pixelRatio, thickness, opacity, id;\\nuniform sampler2D dashTexture;\\n\\nvarying vec4 fragColor;\\nvarying vec2 tangent;\\n\\nvoid main() {\\n\\tfloat alpha = 1.;\\n\\n\\tfloat t = fract(dot(tangent, gl_FragCoord.xy) / dashLength) * .5 + .25;\\n\\tfloat dash = texture2D(dashTexture, vec2(t, .5)).r;\\n\\n\\tgl_FragColor = fragColor;\\n\\tgl_FragColor.a *= alpha * opacity * dash;\\n}\\n\"]),attributes:{lineEnd:{buffer:r,divisor:0,stride:8,offset:0},lineTop:{buffer:r,divisor:0,stride:8,offset:4},aCoord:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:8,divisor:1},bCoord:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:16,divisor:1},aCoordFract:{buffer:t.prop(\"positionFractBuffer\"),stride:8,offset:8,divisor:1},bCoordFract:{buffer:t.prop(\"positionFractBuffer\"),stride:8,offset:16,divisor:1},color:{buffer:t.prop(\"colorBuffer\"),stride:4,offset:0,divisor:1}}},n));try{e=t(a({cull:{enable:!0,face:\"back\"},vert:o([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec2 aCoord, bCoord, nextCoord, prevCoord;\\nattribute vec4 aColor, bColor;\\nattribute float lineEnd, lineTop;\\n\\nuniform vec2 scale, translate;\\nuniform float thickness, pixelRatio, id, depth;\\nuniform vec4 viewport;\\nuniform float miterLimit, miterMode;\\n\\nvarying vec4 fragColor;\\nvarying vec4 startCutoff, endCutoff;\\nvarying vec2 tangent;\\nvarying vec2 startCoord, endCoord;\\nvarying float enableStartMiter, enableEndMiter;\\n\\nconst float REVERSE_THRESHOLD = -.875;\\nconst float MIN_DIFF = 1e-6;\\n\\n// TODO: possible optimizations: avoid overcalculating all for vertices and calc just one instead\\n// TODO: precalculate dot products, normalize things beforehead etc.\\n// TODO: refactor to rectangular algorithm\\n\\nfloat distToLine(vec2 p, vec2 a, vec2 b) {\\n\\tvec2 diff = b - a;\\n\\tvec2 perp = normalize(vec2(-diff.y, diff.x));\\n\\treturn dot(p - a, perp);\\n}\\n\\nbool isNaN( float val ){\\n  return ( val < 0.0 || 0.0 < val || val == 0.0 ) ? false : true;\\n}\\n\\nvoid main() {\\n\\tvec2 aCoord = aCoord, bCoord = bCoord, prevCoord = prevCoord, nextCoord = nextCoord;\\n\\n  vec2 adjustedScale;\\n  adjustedScale.x = (abs(scale.x) < MIN_DIFF) ? MIN_DIFF : scale.x;\\n  adjustedScale.y = (abs(scale.y) < MIN_DIFF) ? MIN_DIFF : scale.y;\\n\\n  vec2 scaleRatio = adjustedScale * viewport.zw;\\n\\tvec2 normalWidth = thickness / scaleRatio;\\n\\n\\tfloat lineStart = 1. - lineEnd;\\n\\tfloat lineBot = 1. - lineTop;\\n\\n\\tfragColor = (lineStart * aColor + lineEnd * bColor) / 255.;\\n\\n\\tif (isNaN(aCoord.x) || isNaN(aCoord.y) || isNaN(bCoord.x) || isNaN(bCoord.y)) return;\\n\\n\\tif (aCoord == prevCoord) prevCoord = aCoord + normalize(bCoord - aCoord);\\n\\tif (bCoord == nextCoord) nextCoord = bCoord - normalize(bCoord - aCoord);\\n\\n\\tvec2 prevDiff = aCoord - prevCoord;\\n\\tvec2 currDiff = bCoord - aCoord;\\n\\tvec2 nextDiff = nextCoord - bCoord;\\n\\n\\tvec2 prevTangent = normalize(prevDiff * scaleRatio);\\n\\tvec2 currTangent = normalize(currDiff * scaleRatio);\\n\\tvec2 nextTangent = normalize(nextDiff * scaleRatio);\\n\\n\\tvec2 prevNormal = vec2(-prevTangent.y, prevTangent.x);\\n\\tvec2 currNormal = vec2(-currTangent.y, currTangent.x);\\n\\tvec2 nextNormal = vec2(-nextTangent.y, nextTangent.x);\\n\\n\\tvec2 startJoinDirection = normalize(prevTangent - currTangent);\\n\\tvec2 endJoinDirection = normalize(currTangent - nextTangent);\\n\\n\\t// collapsed/unidirectional segment cases\\n\\t// FIXME: there should be more elegant solution\\n\\tvec2 prevTanDiff = abs(prevTangent - currTangent);\\n\\tvec2 nextTanDiff = abs(nextTangent - currTangent);\\n\\tif (max(prevTanDiff.x, prevTanDiff.y) < MIN_DIFF) {\\n\\t\\tstartJoinDirection = currNormal;\\n\\t}\\n\\tif (max(nextTanDiff.x, nextTanDiff.y) < MIN_DIFF) {\\n\\t\\tendJoinDirection = currNormal;\\n\\t}\\n\\tif (aCoord == bCoord) {\\n\\t\\tendJoinDirection = startJoinDirection;\\n\\t\\tcurrNormal = prevNormal;\\n\\t\\tcurrTangent = prevTangent;\\n\\t}\\n\\n\\ttangent = currTangent;\\n\\n\\t//calculate join shifts relative to normals\\n\\tfloat startJoinShift = dot(currNormal, startJoinDirection);\\n\\tfloat endJoinShift = dot(currNormal, endJoinDirection);\\n\\n\\tfloat startMiterRatio = abs(1. / startJoinShift);\\n\\tfloat endMiterRatio = abs(1. / endJoinShift);\\n\\n\\tvec2 startJoin = startJoinDirection * startMiterRatio;\\n\\tvec2 endJoin = endJoinDirection * endMiterRatio;\\n\\n\\tvec2 startTopJoin, startBotJoin, endTopJoin, endBotJoin;\\n\\tstartTopJoin = sign(startJoinShift) * startJoin * .5;\\n\\tstartBotJoin = -startTopJoin;\\n\\n\\tendTopJoin = sign(endJoinShift) * endJoin * .5;\\n\\tendBotJoin = -endTopJoin;\\n\\n\\tvec2 aTopCoord = aCoord + normalWidth * startTopJoin;\\n\\tvec2 bTopCoord = bCoord + normalWidth * endTopJoin;\\n\\tvec2 aBotCoord = aCoord + normalWidth * startBotJoin;\\n\\tvec2 bBotCoord = bCoord + normalWidth * endBotJoin;\\n\\n\\t//miter anti-clipping\\n\\tfloat baClipping = distToLine(bCoord, aCoord, aBotCoord) / dot(normalize(normalWidth * endBotJoin), normalize(normalWidth.yx * vec2(-startBotJoin.y, startBotJoin.x)));\\n\\tfloat abClipping = distToLine(aCoord, bCoord, bTopCoord) / dot(normalize(normalWidth * startBotJoin), normalize(normalWidth.yx * vec2(-endBotJoin.y, endBotJoin.x)));\\n\\n\\t//prevent close to reverse direction switch\\n\\tbool prevReverse = dot(currTangent, prevTangent) <= REVERSE_THRESHOLD && abs(dot(currTangent, prevNormal)) * min(length(prevDiff), length(currDiff)) <  length(normalWidth * currNormal);\\n\\tbool nextReverse = dot(currTangent, nextTangent) <= REVERSE_THRESHOLD && abs(dot(currTangent, nextNormal)) * min(length(nextDiff), length(currDiff)) <  length(normalWidth * currNormal);\\n\\n\\tif (prevReverse) {\\n\\t\\t//make join rectangular\\n\\t\\tvec2 miterShift = normalWidth * startJoinDirection * miterLimit * .5;\\n\\t\\tfloat normalAdjust = 1. - min(miterLimit / startMiterRatio, 1.);\\n\\t\\taBotCoord = aCoord + miterShift - normalAdjust * normalWidth * currNormal * .5;\\n\\t\\taTopCoord = aCoord + miterShift + normalAdjust * normalWidth * currNormal * .5;\\n\\t}\\n\\telse if (!nextReverse && baClipping > 0. && baClipping < length(normalWidth * endBotJoin)) {\\n\\t\\t//handle miter clipping\\n\\t\\tbTopCoord -= normalWidth * endTopJoin;\\n\\t\\tbTopCoord += normalize(endTopJoin * normalWidth) * baClipping;\\n\\t}\\n\\n\\tif (nextReverse) {\\n\\t\\t//make join rectangular\\n\\t\\tvec2 miterShift = normalWidth * endJoinDirection * miterLimit * .5;\\n\\t\\tfloat normalAdjust = 1. - min(miterLimit / endMiterRatio, 1.);\\n\\t\\tbBotCoord = bCoord + miterShift - normalAdjust * normalWidth * currNormal * .5;\\n\\t\\tbTopCoord = bCoord + miterShift + normalAdjust * normalWidth * currNormal * .5;\\n\\t}\\n\\telse if (!prevReverse && abClipping > 0. && abClipping < length(normalWidth * startBotJoin)) {\\n\\t\\t//handle miter clipping\\n\\t\\taBotCoord -= normalWidth * startBotJoin;\\n\\t\\taBotCoord += normalize(startBotJoin * normalWidth) * abClipping;\\n\\t}\\n\\n\\tvec2 aTopPosition = (aTopCoord) * adjustedScale + translate;\\n\\tvec2 aBotPosition = (aBotCoord) * adjustedScale + translate;\\n\\n\\tvec2 bTopPosition = (bTopCoord) * adjustedScale + translate;\\n\\tvec2 bBotPosition = (bBotCoord) * adjustedScale + translate;\\n\\n\\t//position is normalized 0..1 coord on the screen\\n\\tvec2 position = (aTopPosition * lineTop + aBotPosition * lineBot) * lineStart + (bTopPosition * lineTop + bBotPosition * lineBot) * lineEnd;\\n\\n\\tstartCoord = aCoord * scaleRatio + translate * viewport.zw + viewport.xy;\\n\\tendCoord = bCoord * scaleRatio + translate * viewport.zw + viewport.xy;\\n\\n\\tgl_Position = vec4(position  * 2.0 - 1.0, depth, 1);\\n\\n\\tenableStartMiter = step(dot(currTangent, prevTangent), .5);\\n\\tenableEndMiter = step(dot(currTangent, nextTangent), .5);\\n\\n\\t//bevel miter cutoffs\\n\\tif (miterMode == 1.) {\\n\\t\\tif (enableStartMiter == 1.) {\\n\\t\\t\\tvec2 startMiterWidth = vec2(startJoinDirection) * thickness * miterLimit * .5;\\n\\t\\t\\tstartCutoff = vec4(aCoord, aCoord);\\n\\t\\t\\tstartCutoff.zw += vec2(-startJoinDirection.y, startJoinDirection.x) / scaleRatio;\\n\\t\\t\\tstartCutoff = startCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\\n\\t\\t\\tstartCutoff += viewport.xyxy;\\n\\t\\t\\tstartCutoff += startMiterWidth.xyxy;\\n\\t\\t}\\n\\n\\t\\tif (enableEndMiter == 1.) {\\n\\t\\t\\tvec2 endMiterWidth = vec2(endJoinDirection) * thickness * miterLimit * .5;\\n\\t\\t\\tendCutoff = vec4(bCoord, bCoord);\\n\\t\\t\\tendCutoff.zw += vec2(-endJoinDirection.y, endJoinDirection.x)  / scaleRatio;\\n\\t\\t\\tendCutoff = endCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\\n\\t\\t\\tendCutoff += viewport.xyxy;\\n\\t\\t\\tendCutoff += endMiterWidth.xyxy;\\n\\t\\t}\\n\\t}\\n\\n\\t//round miter cutoffs\\n\\telse if (miterMode == 2.) {\\n\\t\\tif (enableStartMiter == 1.) {\\n\\t\\t\\tvec2 startMiterWidth = vec2(startJoinDirection) * thickness * abs(dot(startJoinDirection, currNormal)) * .5;\\n\\t\\t\\tstartCutoff = vec4(aCoord, aCoord);\\n\\t\\t\\tstartCutoff.zw += vec2(-startJoinDirection.y, startJoinDirection.x) / scaleRatio;\\n\\t\\t\\tstartCutoff = startCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\\n\\t\\t\\tstartCutoff += viewport.xyxy;\\n\\t\\t\\tstartCutoff += startMiterWidth.xyxy;\\n\\t\\t}\\n\\n\\t\\tif (enableEndMiter == 1.) {\\n\\t\\t\\tvec2 endMiterWidth = vec2(endJoinDirection) * thickness * abs(dot(endJoinDirection, currNormal)) * .5;\\n\\t\\t\\tendCutoff = vec4(bCoord, bCoord);\\n\\t\\t\\tendCutoff.zw += vec2(-endJoinDirection.y, endJoinDirection.x)  / scaleRatio;\\n\\t\\t\\tendCutoff = endCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\\n\\t\\t\\tendCutoff += viewport.xyxy;\\n\\t\\t\\tendCutoff += endMiterWidth.xyxy;\\n\\t\\t}\\n\\t}\\n}\\n\"]),frag:o([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform float dashLength, pixelRatio, thickness, opacity, id, miterMode;\\nuniform sampler2D dashTexture;\\n\\nvarying vec4 fragColor;\\nvarying vec2 tangent;\\nvarying vec4 startCutoff, endCutoff;\\nvarying vec2 startCoord, endCoord;\\nvarying float enableStartMiter, enableEndMiter;\\n\\nfloat distToLine(vec2 p, vec2 a, vec2 b) {\\n\\tvec2 diff = b - a;\\n\\tvec2 perp = normalize(vec2(-diff.y, diff.x));\\n\\treturn dot(p - a, perp);\\n}\\n\\nvoid main() {\\n\\tfloat alpha = 1., distToStart, distToEnd;\\n\\tfloat cutoff = thickness * .5;\\n\\n\\t//bevel miter\\n\\tif (miterMode == 1.) {\\n\\t\\tif (enableStartMiter == 1.) {\\n\\t\\t\\tdistToStart = distToLine(gl_FragCoord.xy, startCutoff.xy, startCutoff.zw);\\n\\t\\t\\tif (distToStart < -1.) {\\n\\t\\t\\t\\tdiscard;\\n\\t\\t\\t\\treturn;\\n\\t\\t\\t}\\n\\t\\t\\talpha *= min(max(distToStart + 1., 0.), 1.);\\n\\t\\t}\\n\\n\\t\\tif (enableEndMiter == 1.) {\\n\\t\\t\\tdistToEnd = distToLine(gl_FragCoord.xy, endCutoff.xy, endCutoff.zw);\\n\\t\\t\\tif (distToEnd < -1.) {\\n\\t\\t\\t\\tdiscard;\\n\\t\\t\\t\\treturn;\\n\\t\\t\\t}\\n\\t\\t\\talpha *= min(max(distToEnd + 1., 0.), 1.);\\n\\t\\t}\\n\\t}\\n\\n\\t// round miter\\n\\telse if (miterMode == 2.) {\\n\\t\\tif (enableStartMiter == 1.) {\\n\\t\\t\\tdistToStart = distToLine(gl_FragCoord.xy, startCutoff.xy, startCutoff.zw);\\n\\t\\t\\tif (distToStart < 0.) {\\n\\t\\t\\t\\tfloat radius = length(gl_FragCoord.xy - startCoord);\\n\\n\\t\\t\\t\\tif(radius > cutoff + .5) {\\n\\t\\t\\t\\t\\tdiscard;\\n\\t\\t\\t\\t\\treturn;\\n\\t\\t\\t\\t}\\n\\n\\t\\t\\t\\talpha -= smoothstep(cutoff - .5, cutoff + .5, radius);\\n\\t\\t\\t}\\n\\t\\t}\\n\\n\\t\\tif (enableEndMiter == 1.) {\\n\\t\\t\\tdistToEnd = distToLine(gl_FragCoord.xy, endCutoff.xy, endCutoff.zw);\\n\\t\\t\\tif (distToEnd < 0.) {\\n\\t\\t\\t\\tfloat radius = length(gl_FragCoord.xy - endCoord);\\n\\n\\t\\t\\t\\tif(radius > cutoff + .5) {\\n\\t\\t\\t\\t\\tdiscard;\\n\\t\\t\\t\\t\\treturn;\\n\\t\\t\\t\\t}\\n\\n\\t\\t\\t\\talpha -= smoothstep(cutoff - .5, cutoff + .5, radius);\\n\\t\\t\\t}\\n\\t\\t}\\n\\t}\\n\\n\\tfloat t = fract(dot(tangent, gl_FragCoord.xy) / dashLength) * .5 + .25;\\n\\tfloat dash = texture2D(dashTexture, vec2(t, .5)).r;\\n\\n\\tgl_FragColor = fragColor;\\n\\tgl_FragColor.a *= alpha * opacity * 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main() {\\n\\tfloat depth = (MAX_LINES - 4. - id) / (MAX_LINES);\\n\\n\\tvec2 position = position * scale + translate\\n       + positionFract * scale + translateFract\\n       + position * scaleFract\\n       + positionFract * scaleFract;\\n\\n\\tgl_Position = vec4(position * 2.0 - 1.0, depth, 1);\\n\\n\\tfragColor = color / 255.;\\n\\tfragColor.a *= opacity;\\n}\\n\"]),frag:o([\"precision highp float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n\\tgl_FragColor = 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t=this,e=[],r=arguments.length;r--;)e[r]=arguments[r];return(e.length?e:this.passes).forEach((function(e,r){var n;if(e&&Array.isArray(e))return(n=t).draw.apply(n,e);\"number\"==typeof e&&(e=t.passes[e]),e&&e.count>1&&e.opacity&&(t.regl._refresh(),e.fill&&e.triangles&&e.triangles.length>2&&t.shaders.fill(e),e.thickness&&(e.scale[0]*e.viewport.width>y.precisionThreshold||e.scale[1]*e.viewport.height>y.precisionThreshold||\"rect\"===e.join||!e.join&&(e.thickness<=2||e.count>=y.maxPoints)?t.shaders.rect(e):t.shaders.miter(e)))})),this},y.prototype.update=function(t){var e=this;if(t){null!=t.length?\"number\"==typeof t[0]&&(t=[{positions:t}]):Array.isArray(t)||(t=[t]);var r=this.regl,o=this.gl;if(t.forEach((function(t,f){var d=e.passes[f];if(void 0!==t)if(null!==t){if(\"number\"==typeof t[0]&&(t={positions:t}),t=s(t,{positions:\"positions points data coords\",thickness:\"thickness lineWidth lineWidths line-width linewidth width stroke-width strokewidth strokeWidth\",join:\"lineJoin linejoin 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Uint8Array})},t=a({},y.defaults,t)),null!=t.thickness&&(d.thickness=parseFloat(t.thickness)),null!=t.opacity&&(d.opacity=parseFloat(t.opacity)),null!=t.miterLimit&&(d.miterLimit=parseFloat(t.miterLimit)),null!=t.overlay&&(d.overlay=!!t.overlay,f<y.maxLines&&(d.depth=2*(y.maxLines-1-f%y.maxLines)/y.maxLines-1)),null!=t.join&&(d.join=t.join),null!=t.hole&&(d.hole=t.hole),null!=t.fill&&(d.fill=t.fill?n(t.fill,\"uint8\"):null),null!=t.viewport&&(d.viewport=v(t.viewport)),d.viewport||(d.viewport=v([o.drawingBufferWidth,o.drawingBufferHeight])),null!=t.close&&(d.close=t.close),null===t.positions&&(t.positions=[]),t.positions){var m,x;if(t.positions.x&&t.positions.y){var b=t.positions.x,_=t.positions.y;x=d.count=Math.max(b.length,_.length),m=new Float64Array(2*x);for(var w=0;w<x;w++)m[2*w]=b[w],m[2*w+1]=_[w]}else m=l(t.positions,\"float64\"),x=d.count=Math.floor(m.length/2);var T=d.bounds=i(m,2);if(d.fill){for(var k=[],A={},M=0,S=0,E=0,L=d.count;S<L;S++){var C=m[2*S],P=m[2*S+1];isNaN(C)||isNaN(P)||null==C||null==P?(C=m[2*M],P=m[2*M+1],A[S]=M):M=S,k[E++]=C,k[E++]=P}if(t.splitNull){d.count-1 in A||(A[d.count]=d.count-1);var O=Object.keys(A).map(Number).sort((function(t,e){return t-e})),I=[],D=0,z=null!=d.hole?d.hole[0]:null;if(null!=z){var R=g(O,(function(t){return t>=z}));(O=O.slice(0,R)).push(z)}for(var F=function(t){var e=k.slice(2*D,2*O[t]).concat(z?k.slice(2*z):[]),r=(d.hole||[]).map((function(e){return e-z+(O[t]-D)})),n=u(e,r);n=n.map((function(e){return e+D+(e+D<O[t]?0:z-O[t])})),I.push.apply(I,n),D=O[t]+1},B=0;B<O.length;B++)F(B);for(var N=0,j=I.length;N<j;N++)null!=A[I[N]]&&(I[N]=A[I[N]]);d.triangles=I}else{for(var U=u(k,d.hole||[]),V=0,H=U.length;V<H;V++)null!=A[U[V]]&&(U[V]=A[U[V]]);d.triangles=U}}var q=new Float64Array(m);c(q,2,T);var G=new Float64Array(2*x+6);d.close?m[0]===m[2*x-2]&&m[1]===m[2*x-1]?(G[0]=q[2*x-4],G[1]=q[2*x-3]):(G[0]=q[2*x-2],G[1]=q[2*x-1]):(G[0]=q[0],G[1]=q[1]),G.set(q,2),d.close?m[0]===m[2*x-2]&&m[1]===m[2*x-1]?(G[2*x+2]=q[2],G[2*x+3]=q[3],d.count-=1):(G[2*x+2]=q[0],G[2*x+3]=q[1],G[2*x+4]=q[2],G[2*x+5]=q[3]):(G[2*x+2]=q[2*x-2],G[2*x+3]=q[2*x-1],G[2*x+4]=q[2*x-2],G[2*x+5]=q[2*x-1]);var Z=h(G);d.positionBuffer(Z);var Y=p(G,Z);d.positionFractBuffer(Y)}if(t.range?d.range=t.range:d.range||(d.range=d.bounds),(t.range||t.positions)&&d.count){var W=d.bounds,X=W[2]-W[0],J=W[3]-W[1],K=d.range[2]-d.range[0],$=d.range[3]-d.range[1];d.scale=[X/K,J/$],d.translate=[-d.range[0]/K+W[0]/K||0,-d.range[1]/$+W[1]/$||0],d.scaleFract=p(d.scale),d.translateFract=p(d.translate)}if(t.dashes){var Q,tt=0;if(!t.dashes||t.dashes.length<2)tt=1,Q=new Uint8Array([255,255,255,255,255,255,255,255]);else{tt=0;for(var et=0;et<t.dashes.length;++et)tt+=t.dashes[et];Q=new Uint8Array(tt*y.dashMult);for(var rt=0,nt=255,it=0;it<2;it++)for(var at=0;at<t.dashes.length;++at){for(var ot=0,st=t.dashes[at]*y.dashMult*.5;ot<st;++ot)Q[rt++]=nt;nt^=255}}d.dashLength=tt,d.dashTexture({channels:1,data:Q,width:Q.length,height:1,mag:\"linear\",min:\"linear\"},0,0)}if(t.color){var lt=d.count,ut=t.color;ut||(ut=\"transparent\");var ct=new Uint8Array(4*lt+4);if(Array.isArray(ut)&&\"number\"!=typeof ut[0]){for(var ft=0;ft<lt;ft++){var ht=n(ut[ft],\"uint8\");ct.set(ht,4*ft)}ct.set(n(ut[0],\"uint8\"),4*lt)}else for(var pt=n(ut,\"uint8\"),dt=0;dt<lt+1;dt++)ct.set(pt,4*dt);d.colorBuffer({usage:\"dynamic\",type:\"uint8\",data:ct})}}else e.passes[f]=null})),t.length<this.passes.length){for(var f=t.length;f<this.passes.length;f++){var d=this.passes[f];d&&(d.colorBuffer.destroy(),d.positionBuffer.destroy(),d.dashTexture.destroy())}this.passes.length=t.length}for(var m=[],x=0;x<this.passes.length;x++)null!==this.passes[x]&&m.push(this.passes[x]);return this.passes=m,this}},y.prototype.destroy=function(){return this.passes.forEach((function(t){t.colorBuffer.destroy(),t.positionBuffer.destroy(),t.dashTexture.destroy()})),this.passes.length=0,this}},11870:function(t,e,r){\"use strict\";function n(t,e){return function(t){if(Array.isArray(t))return t}(t)||function(t,e){var r=null==t?null:\"undefined\"!=typeof Symbol&&t[Symbol.iterator]||t[\"@@iterator\"];if(null!=r){var n,i,a,o,s=[],l=!0,u=!1;try{if(a=(r=r.call(t)).next,0===e){if(Object(r)!==r)return;l=!1}else for(;!(l=(n=a.call(r)).done)&&(s.push(n.value),s.length!==e);l=!0);}catch(t){u=!0,i=t}finally{try{if(!l&&null!=r.return&&(o=r.return(),Object(o)!==o))return}finally{if(u)throw i}}return s}}(t,e)||i(t,e)||function(){throw new TypeError(\"Invalid attempt to destructure non-iterable instance.\\nIn order to be iterable, non-array objects must have a [Symbol.iterator]() method.\")}()}function i(t,e){if(t){if(\"string\"==typeof t)return a(t,e);var r=Object.prototype.toString.call(t).slice(8,-1);return\"Object\"===r&&t.constructor&&(r=t.constructor.name),\"Map\"===r||\"Set\"===r?Array.from(t):\"Arguments\"===r||/^(?:Ui|I)nt(?:8|16|32)(?:Clamped)?Array$/.test(r)?a(t,e):void 0}}function a(t,e){(null==e||e>t.length)&&(e=t.length);for(var r=0,n=new Array(e);r<e;r++)n[r]=t[r];return n}var o=r(25075),s=r(21527),l=r(6475),u=r(88294),c=r(56131),f=r(56068),h=r(71299),p=r(93447),d=r(30120),v=r(62683),g=r(57060),y=r(18863),m=x;function x(t,e){var r=this;if(!(this instanceof x))return new x(t,e);\"function\"==typeof t?(e||(e={}),e.regl=t):(e=t,t=null),e&&e.length&&(e.positions=e);var n,i=(t=e.regl)._gl,a=[];this.tooManyColors=v,n=t.texture({data:new Uint8Array(1020),width:255,height:1,type:\"uint8\",format:\"rgba\",wrapS:\"clamp\",wrapT:\"clamp\",mag:\"nearest\",min:\"nearest\"}),c(this,{regl:t,gl:i,groups:[],markerCache:[null],markerTextures:[null],palette:a,paletteIds:{},paletteTexture:n,maxColors:255,maxSize:100,canvas:i.canvas}),this.update(e);var o={uniforms:{constPointSize:!!e.constPointSize,opacity:t.prop(\"opacity\"),paletteSize:function(t,e){return[r.tooManyColors?0:255,n.height]},pixelRatio:t.context(\"pixelRatio\"),scale:t.prop(\"scale\"),scaleFract:t.prop(\"scaleFract\"),translate:t.prop(\"translate\"),translateFract:t.prop(\"translateFract\"),markerTexture:t.prop(\"markerTexture\"),paletteTexture:n},attributes:{x:function(t,e){return e.xAttr||{buffer:e.positionBuffer,stride:8,offset:0}},y:function(t,e){return e.yAttr||{buffer:e.positionBuffer,stride:8,offset:4}},xFract:function(t,e){return e.xAttr?{constant:[0,0]}:{buffer:e.positionFractBuffer,stride:8,offset:0}},yFract:function(t,e){return e.yAttr?{constant:[0,0]}:{buffer:e.positionFractBuffer,stride:8,offset:4}},size:function(t,e){return e.size.length?{buffer:e.sizeBuffer,stride:2,offset:0}:{constant:[Math.round(255*e.size/r.maxSize)]}},borderSize:function(t,e){return e.borderSize.length?{buffer:e.sizeBuffer,stride:2,offset:1}:{constant:[Math.round(255*e.borderSize/r.maxSize)]}},colorId:function(t,e){return e.color.length?{buffer:e.colorBuffer,stride:r.tooManyColors?8:4,offset:0}:{constant:r.tooManyColors?a.slice(4*e.color,4*e.color+4):[e.color]}},borderColorId:function(t,e){return e.borderColor.length?{buffer:e.colorBuffer,stride:r.tooManyColors?8:4,offset:r.tooManyColors?4:2}:{constant:r.tooManyColors?a.slice(4*e.borderColor,4*e.borderColor+4):[e.borderColor]}},isActive:function(t,e){return!0===e.activation?{constant:[1]}:e.activation?e.activation:{constant:[0]}}},blend:{enable:!0,color:[0,0,0,1],func:{srcRGB:\"src alpha\",dstRGB:\"one minus src alpha\",srcAlpha:\"one minus dst alpha\",dstAlpha:\"one\"}},scissor:{enable:!0,box:t.prop(\"viewport\")},viewport:t.prop(\"viewport\"),stencil:{enable:!1},depth:{enable:!1},elements:t.prop(\"elements\"),count:t.prop(\"count\"),offset:t.prop(\"offset\"),primitive:\"points\"},s=c({},o);s.frag=f([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform float opacity;\\nuniform sampler2D markerTexture;\\n\\nvarying vec4 fragColor, fragBorderColor;\\nvarying float fragWidth, fragBorderColorLevel, fragColorLevel;\\n\\nfloat smoothStep(float x, float y) {\\n  return 1.0 / (1.0 + exp(50.0*(x - y)));\\n}\\n\\nvoid main() {\\n  float dist = texture2D(markerTexture, gl_PointCoord).r, delta = fragWidth;\\n\\n  // max-distance alpha\\n  if (dist < 0.003) discard;\\n\\n  // null-border case\\n  if (fragBorderColorLevel == fragColorLevel || fragBorderColor.a == 0.) {\\n    float colorAmt = smoothstep(.5 - delta, .5 + delta, dist);\\n    gl_FragColor = vec4(fragColor.rgb, colorAmt * fragColor.a * opacity);\\n  }\\n  else {\\n    float borderColorAmt = smoothstep(fragBorderColorLevel - delta, fragBorderColorLevel + delta, dist);\\n    float colorAmt = smoothstep(fragColorLevel - delta, fragColorLevel + delta, dist);\\n\\n    vec4 color = fragBorderColor;\\n    color.a *= borderColorAmt;\\n    color = mix(color, fragColor, colorAmt);\\n    color.a *= opacity;\\n\\n    gl_FragColor = color;\\n  }\\n\\n}\\n\"]),s.vert=f([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute float x, y, xFract, yFract;\\nattribute float size, borderSize;\\nattribute vec4 colorId, borderColorId;\\nattribute float isActive;\\n\\nuniform bool constPointSize;\\nuniform float pixelRatio;\\nuniform vec2 scale, scaleFract, translate, translateFract, paletteSize;\\nuniform sampler2D paletteTexture;\\n\\nconst float maxSize = 100.;\\nconst float borderLevel = .5;\\n\\nvarying vec4 fragColor, fragBorderColor;\\nvarying float fragPointSize, fragBorderRadius, fragWidth, fragBorderColorLevel, fragColorLevel;\\n\\nfloat pointSizeScale = (constPointSize) ? 2. : pixelRatio;\\n\\nbool isDirect = (paletteSize.x < 1.);\\n\\nvec4 getColor(vec4 id) {\\n  return isDirect ? id / 255. : texture2D(paletteTexture,\\n    vec2(\\n      (id.x + .5) / paletteSize.x,\\n      (id.y + .5) / paletteSize.y\\n    )\\n  );\\n}\\n\\nvoid main() {\\n  // ignore inactive points\\n  if (isActive == 0.) return;\\n\\n  vec2 position = vec2(x, y);\\n  vec2 positionFract = vec2(xFract, yFract);\\n\\n  vec4 color = getColor(colorId);\\n  vec4 borderColor = getColor(borderColorId);\\n\\n  float size = size * maxSize / 255.;\\n  float borderSize = borderSize * maxSize / 255.;\\n\\n  gl_PointSize = 2. * size * pointSizeScale;\\n  fragPointSize = size * pixelRatio;\\n\\n  vec2 pos = (position + translate) * scale\\n      + (positionFract + translateFract) * scale\\n      + (position + translate) * scaleFract\\n      + (positionFract + translateFract) * scaleFract;\\n\\n  gl_Position = vec4(pos * 2. - 1., 0., 1.);\\n\\n  fragColor = color;\\n  fragBorderColor = borderColor;\\n  fragWidth = 1. / gl_PointSize;\\n\\n  fragBorderColorLevel = clamp(borderLevel - borderLevel * borderSize / size, 0., 1.);\\n  fragColorLevel = clamp(borderLevel + (1. - borderLevel) * borderSize / size, 0., 1.);\\n}\"]),this.drawMarker=t(s);var l=c({},o);l.frag=f([\"precision highp float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragColor, fragBorderColor;\\nvarying float fragBorderRadius, fragWidth;\\n\\nuniform float opacity;\\n\\nfloat smoothStep(float edge0, float edge1, float x) {\\n\\tfloat t;\\n\\tt = clamp((x - edge0) / (edge1 - edge0), 0.0, 1.0);\\n\\treturn t * t * (3.0 - 2.0 * t);\\n}\\n\\nvoid main() {\\n\\tfloat radius, alpha = 1.0, delta = fragWidth;\\n\\n\\tradius = length(2.0 * gl_PointCoord.xy - 1.0);\\n\\n\\tif (radius > 1.0 + delta) {\\n\\t\\tdiscard;\\n\\t}\\n\\n\\talpha -= smoothstep(1.0 - delta, 1.0 + delta, radius);\\n\\n\\tfloat borderRadius = fragBorderRadius;\\n\\tfloat ratio = smoothstep(borderRadius - delta, borderRadius + delta, radius);\\n\\tvec4 color = mix(fragColor, fragBorderColor, ratio);\\n\\tcolor.a *= alpha * opacity;\\n\\tgl_FragColor = color;\\n}\\n\"]),l.vert=f([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute float x, y, xFract, yFract;\\nattribute float size, borderSize;\\nattribute vec4 colorId, borderColorId;\\nattribute float isActive;\\n\\nuniform bool constPointSize;\\nuniform float pixelRatio;\\nuniform vec2 paletteSize, scale, scaleFract, translate, translateFract;\\nuniform sampler2D paletteTexture;\\n\\nconst float maxSize = 100.;\\n\\nvarying vec4 fragColor, fragBorderColor;\\nvarying float fragBorderRadius, fragWidth;\\n\\nfloat pointSizeScale = (constPointSize) ? 2. : pixelRatio;\\n\\nbool isDirect = (paletteSize.x < 1.);\\n\\nvec4 getColor(vec4 id) {\\n  return isDirect ? id / 255. : texture2D(paletteTexture,\\n    vec2(\\n      (id.x + .5) / paletteSize.x,\\n      (id.y + .5) / paletteSize.y\\n    )\\n  );\\n}\\n\\nvoid main() {\\n  // ignore inactive points\\n  if (isActive == 0.) return;\\n\\n  vec2 position = vec2(x, y);\\n  vec2 positionFract = vec2(xFract, yFract);\\n\\n  vec4 color = getColor(colorId);\\n  vec4 borderColor = getColor(borderColorId);\\n\\n  float size = size * maxSize / 255.;\\n  float borderSize = borderSize * maxSize / 255.;\\n\\n  gl_PointSize = (size + borderSize) * pointSizeScale;\\n\\n  vec2 pos = (position + translate) * scale\\n      + (positionFract + translateFract) * scale\\n      + (position + translate) * scaleFract\\n      + (positionFract + translateFract) * scaleFract;\\n\\n  gl_Position = vec4(pos * 2. - 1., 0., 1.);\\n\\n  fragBorderRadius = 1. - 2. * borderSize / (size + borderSize);\\n  fragColor = color;\\n  fragBorderColor = borderColor.a == 0. || borderSize == 0. ? vec4(color.rgb, 0.) : borderColor;\\n  fragWidth = 1. / gl_PointSize;\\n}\\n\"]),v&&(l.frag=l.frag.replace(\"smoothstep\",\"smoothStep\"),s.frag=s.frag.replace(\"smoothstep\",\"smoothStep\")),this.drawCircle=t(l)}x.defaults={color:\"black\",borderColor:\"transparent\",borderSize:0,size:12,opacity:1,marker:void 0,viewport:null,range:null,pixelSize:null,count:0,offset:0,bounds:null,positions:[],snap:1e4},x.prototype.render=function(){return arguments.length&&this.update.apply(this,arguments),this.draw(),this},x.prototype.draw=function(){for(var t=this,e=arguments.length,r=new Array(e),n=0;n<e;n++)r[n]=arguments[n];var i=this.groups;if(1===r.length&&Array.isArray(r[0])&&(null===r[0][0]||Array.isArray(r[0][0]))&&(r=r[0]),this.regl._refresh(),r.length)for(var a=0;a<r.length;a++)this.drawItem(a,r[a]);else i.forEach((function(e,r){t.drawItem(r)}));return this},x.prototype.drawItem=function(t,e){var r,n=this.groups,o=n[t];if(\"number\"==typeof e&&(t=e,o=n[e],e=null),o&&o.count&&o.opacity){o.activation[0]&&this.drawCircle(this.getMarkerDrawOptions(0,o,e));for(var s=[],l=1;l<o.activation.length;l++)o.activation[l]&&(!0===o.activation[l]||o.activation[l].data.length)&&s.push.apply(s,function(t){if(Array.isArray(t))return a(t)}(r=this.getMarkerDrawOptions(l,o,e))||function(t){if(\"undefined\"!=typeof Symbol&&null!=t[Symbol.iterator]||null!=t[\"@@iterator\"])return Array.from(t)}(r)||i(r)||function(){throw new TypeError(\"Invalid attempt to spread non-iterable instance.\\nIn order to be iterable, non-array objects must have a [Symbol.iterator]() method.\")}());s.length&&this.drawMarker(s)}},x.prototype.getMarkerDrawOptions=function(t,e,r){var i=e.range,a=e.tree,o=e.viewport,s=e.activation,l=e.selectionBuffer,u=e.count;if(this.regl,!a)return r?[c({},e,{markerTexture:this.markerTextures[t],activation:s[t],count:r.length,elements:r,offset:0})]:[c({},e,{markerTexture:this.markerTextures[t],activation:s[t],offset:0})];var f=[],h=a.range(i,{lod:!0,px:[(i[2]-i[0])/o.width,(i[3]-i[1])/o.height]});if(r){for(var p=s[t].data,d=new Uint8Array(u),v=0;v<r.length;v++){var g=r[v];d[g]=p?p[g]:1}l.subdata(d)}for(var y=h.length;y--;){var m=n(h[y],2),x=m[0],b=m[1];f.push(c({},e,{markerTexture:this.markerTextures[t],activation:r?l:s[t],offset:x,count:b-x}))}return f},x.prototype.update=function(){for(var t=this,e=arguments.length,r=new Array(e),n=0;n<e;n++)r[n]=arguments[n];if(r.length){1===r.length&&Array.isArray(r[0])&&(r=r[0]);var i=this.groups,a=this.gl,o=this.regl,l=this.maxSize,f=this.maxColors,v=this.palette;this.groups=i=r.map((function(e,r){var n=i[r];if(void 0===e)return n;null===e?e={positions:null}:\"function\"==typeof e?e={ondraw:e}:\"number\"==typeof e[0]&&(e={positions:e}),null===(e=h(e,{positions:\"positions data points\",snap:\"snap cluster lod tree\",size:\"sizes size radius\",borderSize:\"borderSizes borderSize border-size bordersize borderWidth borderWidths border-width borderwidth stroke-width strokeWidth strokewidth outline\",color:\"colors color fill fill-color fillColor\",borderColor:\"borderColors borderColor stroke stroke-color strokeColor\",marker:\"markers marker shape\",range:\"range dataBox databox\",viewport:\"viewport viewPort viewBox viewbox\",opacity:\"opacity alpha transparency\",bounds:\"bound bounds boundaries limits\",tooManyColors:\"tooManyColors palette paletteMode optimizePalette enablePalette\"})).positions&&(e.positions=[]),null!=e.tooManyColors&&(t.tooManyColors=e.tooManyColors),n||(i[r]=n={id:r,scale:null,translate:null,scaleFract:null,translateFract:null,activation:[],selectionBuffer:o.buffer({data:new Uint8Array(0),usage:\"stream\",type:\"uint8\"}),sizeBuffer:o.buffer({data:new Uint8Array(0),usage:\"dynamic\",type:\"uint8\"}),colorBuffer:o.buffer({data:new Uint8Array(0),usage:\"dynamic\",type:\"uint8\"}),positionBuffer:o.buffer({data:new Uint8Array(0),usage:\"dynamic\",type:\"float\"}),positionFractBuffer:o.buffer({data:new Uint8Array(0),usage:\"dynamic\",type:\"float\"})},e=c({},x.defaults,e)),e.positions&&!(\"marker\"in e)&&(e.marker=n.marker,delete n.marker),e.marker&&!(\"positions\"in e)&&(e.positions=n.positions,delete n.positions);var m=0,b=0;if(p(n,e,[{snap:!0,size:function(t,e){return null==t&&(t=x.defaults.size),m+=t&&t.length?1:0,t},borderSize:function(t,e){return null==t&&(t=x.defaults.borderSize),m+=t&&t.length?1:0,t},opacity:parseFloat,color:function(e,r){return null==e&&(e=x.defaults.color),e=t.updateColor(e),b++,e},borderColor:function(e,r){return null==e&&(e=x.defaults.borderColor),e=t.updateColor(e),b++,e},bounds:function(t,e,r){return\"range\"in r||(r.range=null),t},positions:function(t,e,r){var n=e.snap,i=e.positionBuffer,a=e.positionFractBuffer,l=e.selectionBuffer;if(t.x||t.y)return t.x.length?e.xAttr={buffer:o.buffer(t.x),offset:0,stride:4,count:t.x.length}:e.xAttr={buffer:t.x.buffer,offset:4*t.x.offset||0,stride:4*(t.x.stride||1),count:t.x.count},t.y.length?e.yAttr={buffer:o.buffer(t.y),offset:0,stride:4,count:t.y.length}:e.yAttr={buffer:t.y.buffer,offset:4*t.y.offset||0,stride:4*(t.y.stride||1),count:t.y.count},e.count=Math.max(e.xAttr.count,e.yAttr.count),t;t=d(t,\"float64\");var c=e.count=Math.floor(t.length/2),f=e.bounds=c?s(t,2):null;if(r.range||e.range||(delete e.range,r.range=f),r.marker||e.marker||(delete e.marker,r.marker=null),n&&(!0===n||c>n)?e.tree=u(t,{bounds:f}):n&&n.length&&(e.tree=n),e.tree){var h={primitive:\"points\",usage:\"static\",data:e.tree,type:\"uint32\"};e.elements?e.elements(h):e.elements=o.elements(h)}var p=g.float32(t);return i({data:p,usage:\"dynamic\"}),a({data:g.fract32(t,p),usage:\"dynamic\"}),l({data:new Uint8Array(c),type:\"uint8\",usage:\"stream\"}),t}},{marker:function(e,r,n){var i=r.activation;if(i.forEach((function(t){return t&&t.destroy&&t.destroy()})),i.length=0,e&&\"number\"!=typeof e[0]){for(var a=[],s=0,l=Math.min(e.length,r.count);s<l;s++){var u=t.addMarker(e[s]);a[u]||(a[u]=new Uint8Array(r.count)),a[u][s]=1}for(var c=0;c<a.length;c++)if(a[c]){var f={data:a[c],type:\"uint8\",usage:\"static\"};i[c]?i[c](f):i[c]=o.buffer(f),i[c].data=a[c]}}else i[t.addMarker(e)]=!0;return e},range:function(t,e,r){var n=e.bounds;if(n)return t||(t=n),e.scale=[1/(t[2]-t[0]),1/(t[3]-t[1])],e.translate=[-t[0],-t[1]],e.scaleFract=g.fract(e.scale),e.translateFract=g.fract(e.translate),t},viewport:function(t){return y(t||[a.drawingBufferWidth,a.drawingBufferHeight])}}]),m){var _=n,w=_.count,T=_.size,k=_.borderSize,A=_.sizeBuffer,M=new Uint8Array(2*w);if(T.length||k.length)for(var S=0;S<w;S++)M[2*S]=Math.round(255*(null==T[S]?T:T[S])/l),M[2*S+1]=Math.round(255*(null==k[S]?k:k[S])/l);A({data:M,usage:\"dynamic\"})}if(b){var E,L=n,C=L.count,P=L.color,O=L.borderColor,I=L.colorBuffer;if(t.tooManyColors){if(P.length||O.length){E=new Uint8Array(8*C);for(var D=0;D<C;D++){var z=P[D];E[8*D]=v[4*z],E[8*D+1]=v[4*z+1],E[8*D+2]=v[4*z+2],E[8*D+3]=v[4*z+3];var R=O[D];E[8*D+4]=v[4*R],E[8*D+5]=v[4*R+1],E[8*D+6]=v[4*R+2],E[8*D+7]=v[4*R+3]}}}else if(P.length||O.length){E=new Uint8Array(4*C+2);for(var F=0;F<C;F++)null!=P[F]&&(E[4*F]=P[F]%f,E[4*F+1]=Math.floor(P[F]/f)),null!=O[F]&&(E[4*F+2]=O[F]%f,E[4*F+3]=Math.floor(O[F]/f))}I({data:E||new Uint8Array(0),type:\"uint8\",usage:\"dynamic\"})}return n}))}},x.prototype.addMarker=function(t){var e,r=this.markerTextures,n=this.regl,i=this.markerCache,a=null==t?0:i.indexOf(t);if(a>=0)return a;if(t instanceof Uint8Array||t instanceof Uint8ClampedArray)e=t;else{e=new Uint8Array(t.length);for(var o=0,s=t.length;o<s;o++)e[o]=255*t[o]}var l=Math.floor(Math.sqrt(e.length));return a=r.length,i.push(t),r.push(n.texture({channels:1,data:e,radius:l,mag:\"linear\",min:\"linear\"})),a},x.prototype.updateColor=function(t){var e=this.paletteIds,r=this.palette,n=this.maxColors;Array.isArray(t)||(t=[t]);var i=[];if(\"number\"==typeof t[0]){var a=[];if(Array.isArray(t))for(var s=0;s<t.length;s+=4)a.push(t.slice(s,s+4));else for(var u=0;u<t.length;u+=4)a.push(t.subarray(u,u+4));t=a}for(var c=0;c<t.length;c++){var f=t[c];f=o(f,\"uint8\");var h=l(f,!1);if(null==e[h]){var p=r.length;e[h]=Math.floor(p/4),r[p]=f[0],r[p+1]=f[1],r[p+2]=f[2],r[p+3]=f[3]}i[c]=e[h]}return!this.tooManyColors&&r.length>4*n&&(this.tooManyColors=!0),this.updatePalette(r),1===i.length?i[0]:i},x.prototype.updatePalette=function(t){if(!this.tooManyColors){var e=this.maxColors,r=this.paletteTexture,n=Math.ceil(.25*t.length/e);if(n>1)for(var i=.25*(t=t.slice()).length%e;i<n*e;i++)t.push(0,0,0,0);r.height<n&&r.resize(e,n),r.subimage({width:Math.min(.25*t.length,e),height:n,data:t},0,0)}},x.prototype.destroy=function(){return this.groups.forEach((function(t){t.sizeBuffer.destroy(),t.positionBuffer.destroy(),t.positionFractBuffer.destroy(),t.colorBuffer.destroy(),t.activation.forEach((function(t){return t&&t.destroy&&t.destroy()})),t.selectionBuffer.destroy(),t.elements&&t.elements.destroy()})),this.groups.length=0,this.paletteTexture.destroy(),this.markerTextures.forEach((function(t){return t&&t.destroy&&t.destroy()})),this};var b=r(56131);t.exports=function(t,e){var r=new m(t,e),n=r.render.bind(r);return b(n,{render:n,update:r.update.bind(r),draw:r.draw.bind(r),destroy:r.destroy.bind(r),regl:r.regl,gl:r.gl,canvas:r.gl.canvas,groups:r.groups,markers:r.markerCache,palette:r.palette}),n}},60487:function(t,e,r){\"use strict\";var n=r(11870),i=r(71299),a=r(21527),o=r(5877),s=r(57471),l=r(18863),u=r(30120);function c(t,e){if(!(this instanceof c))return new c(t,e);this.traces=[],this.passes={},this.regl=t,this.scatter=n(t),this.canvas=this.scatter.canvas}function f(t,e,r){return(null!=t.id?t.id:t)<<16|(255&e)<<8|255&r}function h(t,e,r){var n,i,a,o,s=t[e],l=t[r];return s.length>2?(s[0],s[2],n=s[1],i=s[3]):s.length?(n=s[0],i=s[1]):(s.x,n=s.y,s.x,s.width,i=s.y+s.height),l.length>2?(a=l[0],o=l[2],l[1],l[3]):l.length?(a=l[0],o=l[1]):(a=l.x,l.y,o=l.x+l.width,l.y,l.height),[a,n,o,i]}function p(t){if(\"number\"==typeof t)return[t,t,t,t];if(2===t.length)return[t[0],t[1],t[0],t[1]];var e=l(t);return[e.x,e.y,e.x+e.width,e.y+e.height]}t.exports=c,c.prototype.render=function(){for(var t,e=this,r=[],n=arguments.length;n--;)r[n]=arguments[n];return r.length&&(t=this).update.apply(t,r),this.regl.attributes.preserveDrawingBuffer?this.draw():(this.dirty?null==this.planned&&(this.planned=o((function(){e.draw(),e.dirty=!0,e.planned=null}))):(this.draw(),this.dirty=!0,o((function(){e.dirty=!1}))),this)},c.prototype.update=function(){for(var t,e=[],r=arguments.length;r--;)e[r]=arguments[r];if(e.length){for(var n=0;n<e.length;n++)this.updateItem(n,e[n]);this.traces=this.traces.filter(Boolean);for(var i=[],a=0,o=0;o<this.traces.length;o++){for(var s=this.traces[o],l=this.traces[o].passes,u=0;u<l.length;u++)i.push(this.passes[l[u]]);s.passOffset=a,a+=s.passes.length}return(t=this.scatter).update.apply(t,i),this}},c.prototype.updateItem=function(t,e){var r=this.regl;if(null===e)return this.traces[t]=null,this;if(!e)return this;var n,o=i(e,{data:\"data items columns rows values dimensions samples x\",snap:\"snap cluster\",size:\"sizes size radius\",color:\"colors color fill fill-color fillColor\",opacity:\"opacity alpha transparency 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Uint8Array}),color:\"black\",marker:null,size:12,borderColor:\"transparent\",borderSize:1,viewport:l([r._gl.drawingBufferWidth,r._gl.drawingBufferHeight]),padding:[0,0,0,0],opacity:1,diagonal:!0,upper:!0,lower:!0});if(null!=o.color&&(s.color=o.color),null!=o.size&&(s.size=o.size),null!=o.marker&&(s.marker=o.marker),null!=o.borderColor&&(s.borderColor=o.borderColor),null!=o.borderSize&&(s.borderSize=o.borderSize),null!=o.opacity&&(s.opacity=o.opacity),o.viewport&&(s.viewport=l(o.viewport)),null!=o.diagonal&&(s.diagonal=o.diagonal),null!=o.upper&&(s.upper=o.upper),null!=o.lower&&(s.lower=o.lower),o.data){s.buffer(u(o.data)),s.columns=o.data.length,s.count=o.data[0].length,s.bounds=[];for(var c=0;c<s.columns;c++)s.bounds[c]=a(o.data[c],1)}o.range&&(s.range=o.range,n=s.range&&\"number\"!=typeof s.range[0]),o.domain&&(s.domain=o.domain);var d=!1;null!=o.padding&&(Array.isArray(o.padding)&&o.padding.length===s.columns&&\"number\"==typeof o.padding[o.padding.length-1]?(s.padding=o.padding.map(p),d=!0):s.padding=p(o.padding));var v=s.columns,g=s.count,y=s.viewport.width,m=s.viewport.height,x=s.viewport.x,b=s.viewport.y,_=y/v,w=m/v;s.passes=[];for(var T=0;T<v;T++)for(var k=0;k<v;k++)if((s.diagonal||k!==T)&&(s.upper||!(T>k))&&(s.lower||!(T<k))){var A=f(s.id,T,k),M=this.passes[A]||(this.passes[A]={});if(o.data&&(o.transpose?M.positions={x:{buffer:s.buffer,offset:k,count:g,stride:v},y:{buffer:s.buffer,offset:T,count:g,stride:v}}:M.positions={x:{buffer:s.buffer,offset:k*g,count:g},y:{buffer:s.buffer,offset:T*g,count:g}},M.bounds=h(s.bounds,T,k)),o.domain||o.viewport||o.data){var S=d?h(s.padding,T,k):s.padding;if(s.domain){var E=h(s.domain,T,k),L=E[0],C=E[1],P=E[2],O=E[3];M.viewport=[x+L*y+S[0],b+C*m+S[1],x+P*y-S[2],b+O*m-S[3]]}else M.viewport=[x+k*_+_*S[0],b+T*w+w*S[1],x+(k+1)*_-_*S[2],b+(T+1)*w-w*S[3]]}o.color&&(M.color=s.color),o.size&&(M.size=s.size),o.marker&&(M.marker=s.marker),o.borderSize&&(M.borderSize=s.borderSize),o.borderColor&&(M.borderColor=s.borderColor),o.opacity&&(M.opacity=s.opacity),o.range&&(M.range=n?h(s.range,T,k):s.range||M.bounds),s.passes.push(A)}return this},c.prototype.draw=function(){for(var t,e=[],r=arguments.length;r--;)e[r]=arguments[r];if(e.length){for(var n=[],i=0;i<e.length;i++)if(\"number\"==typeof e[i]){var a=this.traces[e[i]],o=a.passes,l=a.passOffset;n.push.apply(n,s(l,l+o.length))}else if(e[i].length){var u=e[i],c=this.traces[i],f=c.passes,h=c.passOffset;f=f.map((function(t,e){n[h+e]=u}))}(t=this.scatter).draw.apply(t,n)}else this.scatter.draw();return this},c.prototype.destroy=function(){return this.traces.forEach((function(t){t.buffer&&t.buffer.destroy&&t.buffer.destroy()})),this.traces=null,this.passes=null,this.scatter.destroy(),this}},98580:function(t){t.exports=function(){function t(t,e){this.id=Z++,this.type=t,this.data=e}function e(t){if(0===t.length)return[];var r=t.charAt(0),n=t.charAt(t.length-1);if(1<t.length&&r===n&&('\"'===r||\"'\"===r))return['\"'+t.substr(1,t.length-2).replace(/\\\\/g,\"\\\\\\\\\").replace(/\"/g,'\\\\\"')+'\"'];if(r=/\\[(false|true|null|\\d+|'[^']*'|\"[^\"]*\")\\]/.exec(t))return e(t.substr(0,r.index)).concat(e(r[1])).concat(e(t.substr(r.index+r[0].length)));if(1===(r=t.split(\".\")).length)return['\"'+t.replace(/\\\\/g,\"\\\\\\\\\").replace(/\"/g,'\\\\\"')+'\"'];for(t=[],n=0;n<r.length;++n)t=t.concat(e(r[n]));return t}function r(t){return\"[\"+e(t).join(\"][\")+\"]\"}function n(t){return\"string\"==typeof t?t.split():t}function i(t){return\"string\"==typeof t?document.querySelector(t):t}function a(t){var e,r,a,o,s=t||{};t={};var 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e=Math.floor(t/400)+1;t-=400*(e-1),t+=t>15?16:0;var r=Math.floor(t/32)+1,n=t-32*(r-1)+1;return this.newDate(e<=0?e-1:e,r,n)}});var o={20:\"Fruitbat\",21:\"Anchovy\"};n.calendars.discworld=a},37715:function(t,e,r){var n=r(63489),i=r(56131);function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}a.prototype=new 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n=r(56131);function i(){this.regionalOptions=[],this.regionalOptions[\"\"]={invalidCalendar:\"Calendar {0} not found\",invalidDate:\"Invalid {0} date\",invalidMonth:\"Invalid {0} month\",invalidYear:\"Invalid {0} year\",differentCalendars:\"Cannot mix {0} and {1} dates\"},this.local=this.regionalOptions[\"\"],this.calendars={},this._localCals={}}function a(t,e,r,n){if(this._calendar=t,this._year=e,this._month=r,this._day=n,0===this._calendar._validateLevel&&!this._calendar.isValid(this._year,this._month,this._day))throw(u.local.invalidDate||u.regionalOptions[\"\"].invalidDate).replace(/\\{0\\}/,this._calendar.local.name)}function o(t,e){return\"000000\".substring(0,e-(t=\"\"+t).length)+t}function s(){this.shortYearCutoff=\"+10\"}function l(t){this.local=this.regionalOptions[t]||this.regionalOptions[\"\"]}n(i.prototype,{instance:function(t,e){t=(t||\"gregorian\").toLowerCase(),e=e||\"\";var r=this._localCals[t+\"-\"+e];if(!r&&this.calendars[t]&&(r=new this.calendars[t](e),this._localCals[t+\"-\"+e]=r),!r)throw(this.local.invalidCalendar||this.regionalOptions[\"\"].invalidCalendar).replace(/\\{0\\}/,t);return r},newDate:function(t,e,r,n,i){return(n=(null!=t&&t.year?t.calendar():\"string\"==typeof n?this.instance(n,i):n)||this.instance()).newDate(t,e,r)},substituteDigits:function(t){return function(e){return(e+\"\").replace(/[0-9]/g,(function(e){return t[e]}))}},substituteChineseDigits:function(t,e){return function(r){for(var n=\"\",i=0;r>0;){var a=r%10;n=(0===a?\"\":t[a]+e[i])+n,i++,r=Math.floor(r/10)}return 0===n.indexOf(t[1]+e[1])&&(n=n.substr(1)),n||t[0]}}}),n(a.prototype,{newDate:function(t,e,r){return this._calendar.newDate(null==t?this:t,e,r)},year:function(t){return 0===arguments.length?this._year:this.set(t,\"y\")},month:function(t){return 0===arguments.length?this._month:this.set(t,\"m\")},day:function(t){return 0===arguments.length?this._day:this.set(t,\"d\")},date:function(t,e,r){if(!this._calendar.isValid(t,e,r))throw(u.local.invalidDate||u.regionalOptions[\"\"].invalidDate).replace(/\\{0\\}/,this._calendar.local.name);return this._year=t,this._month=e,this._day=r,this},leapYear:function(){return this._calendar.leapYear(this)},epoch:function(){return this._calendar.epoch(this)},formatYear:function(){return this._calendar.formatYear(this)},monthOfYear:function(){return this._calendar.monthOfYear(this)},weekOfYear:function(){return this._calendar.weekOfYear(this)},daysInYear:function(){return this._calendar.daysInYear(this)},dayOfYear:function(){return this._calendar.dayOfYear(this)},daysInMonth:function(){return this._calendar.daysInMonth(this)},dayOfWeek:function(){return this._calendar.dayOfWeek(this)},weekDay:function(){return this._calendar.weekDay(this)},extraInfo:function(){return this._calendar.extraInfo(this)},add:function(t,e){return this._calendar.add(this,t,e)},set:function(t,e){return this._calendar.set(this,t,e)},compareTo:function(t){if(this._calendar.name!==t._calendar.name)throw(u.local.differentCalendars||u.regionalOptions[\"\"].differentCalendars).replace(/\\{0\\}/,this._calendar.local.name).replace(/\\{1\\}/,t._calendar.local.name);var e=this._year!==t._year?this._year-t._year:this._month!==t._month?this.monthOfYear()-t.monthOfYear():this._day-t._day;return 0===e?0:e<0?-1:1},calendar:function(){return this._calendar},toJD:function(){return this._calendar.toJD(this)},fromJD:function(t){return this._calendar.fromJD(t)},toJSDate:function(){return this._calendar.toJSDate(this)},fromJSDate:function(t){return this._calendar.fromJSDate(t)},toString:function(){return(this.year()<0?\"-\":\"\")+o(Math.abs(this.year()),4)+\"-\"+o(this.month(),2)+\"-\"+o(this.day(),2)}}),n(s.prototype,{_validateLevel:0,newDate:function(t,e,r){return null==t?this.today():(t.year&&(this._validate(t,e,r,u.local.invalidDate||u.regionalOptions[\"\"].invalidDate),r=t.day(),e=t.month(),t=t.year()),new a(this,t,e,r))},today:function(){return this.fromJSDate(new Date)},epoch:function(t){return this._validate(t,this.minMonth,this.minDay,u.local.invalidYear||u.regionalOptions[\"\"].invalidYear).year()<0?this.local.epochs[0]:this.local.epochs[1]},formatYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,u.local.invalidYear||u.regionalOptions[\"\"].invalidYear);return(e.year()<0?\"-\":\"\")+o(Math.abs(e.year()),4)},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,u.local.invalidYear||u.regionalOptions[\"\"].invalidYear),12},monthOfYear:function(t,e){var r=this._validate(t,e,this.minDay,u.local.invalidMonth||u.regionalOptions[\"\"].invalidMonth);return(r.month()+this.monthsInYear(r)-this.firstMonth)%this.monthsInYear(r)+this.minMonth},fromMonthOfYear:function(t,e){var r=(e+this.firstMonth-2*this.minMonth)%this.monthsInYear(t)+this.minMonth;return this._validate(t,r,this.minDay,u.local.invalidMonth||u.regionalOptions[\"\"].invalidMonth),r},daysInYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,u.local.invalidYear||u.regionalOptions[\"\"].invalidYear);return this.leapYear(e)?366:365},dayOfYear:function(t,e,r){var n=this._validate(t,e,r,u.local.invalidDate||u.regionalOptions[\"\"].invalidDate);return n.toJD()-this.newDate(n.year(),this.fromMonthOfYear(n.year(),this.minMonth),this.minDay).toJD()+1},daysInWeek:function(){return 7},dayOfWeek:function(t,e,r){var n=this._validate(t,e,r,u.local.invalidDate||u.regionalOptions[\"\"].invalidDate);return(Math.floor(this.toJD(n))+2)%this.daysInWeek()},extraInfo:function(t,e,r){return this._validate(t,e,r,u.local.invalidDate||u.regionalOptions[\"\"].invalidDate),{}},add:function(t,e,r){return this._validate(t,this.minMonth,this.minDay,u.local.invalidDate||u.regionalOptions[\"\"].invalidDate),this._correctAdd(t,this._add(t,e,r),e,r)},_add:function(t,e,r){if(this._validateLevel++,\"d\"===r||\"w\"===r){var n=t.toJD()+e*(\"w\"===r?this.daysInWeek():1),i=t.calendar().fromJD(n);return this._validateLevel--,[i.year(),i.month(),i.day()]}try{var a=t.year()+(\"y\"===r?e:0),o=t.monthOfYear()+(\"m\"===r?e:0);i=t.day(),\"y\"===r?(t.month()!==this.fromMonthOfYear(a,o)&&(o=this.newDate(a,t.month(),this.minDay).monthOfYear()),o=Math.min(o,this.monthsInYear(a)),i=Math.min(i,this.daysInMonth(a,this.fromMonthOfYear(a,o)))):\"m\"===r&&(function(t){for(;o<t.minMonth;)a--,o+=t.monthsInYear(a);for(var e=t.monthsInYear(a);o>e-1+t.minMonth;)a++,o-=e,e=t.monthsInYear(a)}(this),i=Math.min(i,this.daysInMonth(a,this.fromMonthOfYear(a,o))));var s=[a,this.fromMonthOfYear(a,o),i];return this._validateLevel--,s}catch(t){throw 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n=this.newDate(t,e,r);return n.add(4-(n.dayOfWeek()||7),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,u.local.invalidMonth||u.regionalOptions[\"\"].invalidMonth);return this.daysPerMonth[r.month()-1]+(2===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var n=this._validate(t,e,r,u.local.invalidDate||u.regionalOptions[\"\"].invalidDate);t=n.year(),e=n.month(),r=n.day(),t<0&&t++,e<3&&(e+=12,t--);var i=Math.floor(t/100),a=2-i+Math.floor(i/4);return Math.floor(365.25*(t+4716))+Math.floor(30.6001*(e+1))+r+a-1524.5},fromJD:function(t){var e=Math.floor(t+.5),r=Math.floor((e-1867216.25)/36524.25),n=1524+(r=e+1+r-Math.floor(r/4)),i=Math.floor((n-122.1)/365.25),a=Math.floor(365.25*i),o=Math.floor((n-a)/30.6001),s=n-a-Math.floor(30.6001*o),l=o-(o>13.5?13:1),u=i-(l>2.5?4716:4715);return u<=0&&u--,this.newDate(u,l,s)},toJSDate:function(t,e,r){var n=this._validate(t,e,r,u.local.invalidDate||u.regionalOptions[\"\"].invalidDate),i=new Date(n.year(),n.month()-1,n.day());return i.setHours(0),i.setMinutes(0),i.setSeconds(0),i.setMilliseconds(0),i.setHours(i.getHours()>12?i.getHours()+2:0),i},fromJSDate:function(t){return this.newDate(t.getFullYear(),t.getMonth()+1,t.getDate())}});var u=t.exports=new i;u.cdate=a,u.baseCalendar=s,u.calendars.gregorian=l},94338:function(t,e,r){var n=r(56131),i=r(63489);n(i.regionalOptions[\"\"],{invalidArguments:\"Invalid arguments\",invalidFormat:\"Cannot format a date from another calendar\",missingNumberAt:\"Missing number at position {0}\",unknownNameAt:\"Unknown name at position {0}\",unexpectedLiteralAt:\"Unexpected literal at position {0}\",unexpectedText:\"Additional text found at end\"}),i.local=i.regionalOptions[\"\"],n(i.cdate.prototype,{formatDate:function(t,e){return\"string\"!=typeof 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   "source": [
    "fig = px.bar(merged_nba_teams, x='general_manager', y='winning_percentage', hover_data=['nickname'], color='winning_percentage', text = 'nickname',\n",
    "             labels={'win%':'Win %'})\n",
    "\n",
    "# Updating layout\n",
    "fig.update_layout(xaxis={'categoryorder':'total descending'})\n",
    "fig.update_layout(title={\n",
    "                'text' : 'Win Percentage of Current NBA GMs',\n",
    "                'x':0.5,\n",
    "                 'xanchor': 'center'},\n",
    "                  xaxis_title='General Managers',\n",
    "                  yaxis_title='Win %')\n",
    "fig.update_traces(textfont_size = 14)\n",
    "\n",
    "fig.add_hline(y=np.mean(merged_nba_teams['winning_percentage']), line_dash=\"dash\", line_color=\"green\", annotation_text=\"avg win % \" + \n",
    "              str(round(np.mean(merged_nba_teams['winning_percentage']),2)))\n",
    "\n",
    "fig.show()"
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     "metadata": {},
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   ],
   "source": [
    "fig2 = px.bar(merged_nba_teams, x='general_manager', y='days_of_ownership',  color='days_of_ownership', text = 'nickname',\n",
    "             labels={'days of ownership':'Days of Ownership'})\n",
    "\n",
    "# Updating layout\n",
    "fig2.update_layout(xaxis={'categoryorder':'total descending'})\n",
    "fig2.update_layout(title={\n",
    "                'text' : 'NBA GM Ownership Duration',\n",
    "                'x':0.5,\n",
    "                 'xanchor': 'center'},\n",
    "                  xaxis_title='General Managers',\n",
    "                  yaxis_title='Days of Ownership')\n",
    "fig2.update_traces(textfont_size = 14)\n",
    "\n",
    "fig2.add_hline(y=np.mean(merged_nba_teams['days_of_ownership']), line_dash=\"dash\", line_color=\"green\", annotation_text=\"avg duration = \" + \n",
    "              str(round(np.mean(merged_nba_teams['days_of_ownership']),2)))\n",
    "\n",
    "fig2.show()"
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   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We see that the top 5 GMs doing the best so far in terms of Win Percentage belong to the ***Celtics, Bucks, 76ers, Nuggets, and Suns*** respectively. On the other hand we have the ***Spurs, Rockets, Trailblazers, Pistons, and Wizards***... and if you look two spots up, we have the Nets!\n",
    "\n",
    "It's important to note that this visualization does not show how long each GM has taken the role. So let's visualize this and also visualize their *wins to days of ownership* ratio, where ```x = amount of wins since taking the role``` and ```y = days of ownership```. It would be impressive to see data where a GM garners more wins and less days of ownership."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [
    {
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",
          "x": 90,
          "xanchor": "center",
          "xref": "x",
          "y": 106,
          "yanchor": "middle",
          "yref": "y"
         },
         {
          "layer": "above",
          "sizex": 150,
          "sizey": 150,
          "sizing": "contain",
          "source": 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",
          "x": 232,
          "xanchor": "center",
          "xref": "x",
          "y": 110,
          "yanchor": "middle",
          "yref": "y"
         },
         {
          "layer": "above",
          "sizex": 150,
          "sizey": 150,
          "sizing": "contain",
          "source": 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",
          "x": 127,
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          "xref": "x",
          "y": 104,
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          "yref": "y"
         },
         {
          "layer": "above",
          "sizex": 150,
          "sizey": 150,
          "sizing": "contain",
          "source": 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          "xanchor": "center",
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         {
          "layer": "above",
          "sizex": 150,
          "sizey": 150,
          "sizing": "contain",
          "source": 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",
          "x": 181,
          "xanchor": "center",
          "xref": "x",
          "y": 183,
          "yanchor": "middle",
          "yref": "y"
         },
         {
          "layer": "above",
          "sizex": 150,
          "sizey": 150,
          "sizing": "contain",
          "source": 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",
          "x": 175,
          "xanchor": "center",
          "xref": "x",
          "y": 142,
          "yanchor": "middle",
          "yref": "y"
         },
         {
          "layer": "above",
          "sizex": 150,
          "sizey": 150,
          "sizing": "contain",
          "source": 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",
          "x": 263,
          "xanchor": "center",
          "xref": "x",
          "y": 170,
          "yanchor": "middle",
          "yref": "y"
         },
         {
          "layer": "above",
          "sizex": 150,
          "sizey": 150,
          "sizing": "contain",
          "source": 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",
          "x": 58,
          "xanchor": "center",
          "xref": "x",
          "y": 45,
          "yanchor": "middle",
          "yref": "y"
         },
         {
          "layer": "above",
          "sizex": 150,
          "sizey": 150,
          "sizing": "contain",
          "source": 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KFNn0ACrCT+XgvGFzgPQehtQADUtCJRTACNMVSMqQB8/4xWTHOBQXYnOCbEy2w9DEWmnHAKxyHyk60dYeBMgtDbSIvixzVG6PJ2PhxaCmDgKEDSROVaBY0Qe1KzU/fa+jFoRSOpwFMRhN4uWlbdWTQSocsQA2xtzUHPi9ciU9cis153GHBVsVTFfO0Dx654VNluBkOq6pwRhN4mWrEtVUyblRihp3Dgzw+qJgK6yzj92VyxBJUM5UnJd8Gg28nOcC7OIeHDbRtFV5ZWTN0jhG618yJ0ARJx1T61dOqso+NUMOaU5vkpsX8ORROM1o0ycCZB6O2jVa2TMAoVd9GVqGZDEaEjunadxvRi1M3CFaeo7xIrxyX/P+849qVHtDhuiHOfQ4LQ20irCqWJwPzY80b7CXP1Rq2wVA3ZRTobSicck+rzMXG/B0W/ujkZbGCK8AG3gbI8k/cCvgV22KhQcbPMdb0ItlM0XIuR59/iOzFFp6qLPIr6TrH2kCafe+Pxe3eGenHzQygl1SasmNyr4rU593ujpltjb21r0yN7Ssx7wVfXrFm31leuv811MCYXFwygqFYwckyzyYMmfRfgtrEpGJt5IHzIbULU5J6yumOzxwJEZY6/yy1GgLpEW3/EL1q93ItzF2nOLZJHYsx+yX795058Y/c9bLNn9bQLzAnBorcJi3dlXaeWTLlTI1WAna042DnQojU012ddb32D66EuFz0TyXskivdq7c/vHvnqHyrbjTAQpuzzRLDo7cJo1mgY3uTUXQAy9R0tGde5sRaUVetf/Ta/5K4V3midi2o4kS+SKNpLfecH5PAvK9vNjhlV8ANzTxD6/KMA4sW5ok86zRp1BZxIBWArK1q9TSXKNvxqun4t73/vq3yPTuL9hazNi4Go65Uo2kv65S+4kz/22RN7RmFAQxum+SUIvV2IzymbMbaCVObGoitbrDDofi19/vvfqIs3Z5p7vYAovCKBXfJeie33qX3mT7qGX/+7p743sp3tJuyZzz9hjd4mYm8zjKMVxcwVUNWWJrU0esULg/kfLLv1P9ymXf8+Uu8SxJ7POhSxAeo7MaRGoq8w/j/fsvLet7ObdBvb7EBYl7eFIPQ2YYxmgHdgWjB7p5Uz4em97UH+ctntv75RK79TVXwC5xV5YcVx3UT2IUn5gozv+MCxbw/I8cKXEJJW2kcQepsQb1OMJ1tAS9VtbLP3cI8XxL19+ebVb9DuD6zTyk85dT6Bp9y/KypI4ntUZNKK/d8y9uj/Mqfe9ZWjD/69st3AgIbpensJQm8T1pKi+KzwkzRt0wU72yuG3MM2s41NKgw4QfjQslt/eqOvvn8dlfUT6ryCOVPkjfBdA36RCqkR82U76T9tJv78H7oP/waPHT1SbqEtnCvZs5gg9DZhbJSRZ+pakMImgF58arhsZ4t9L0N5IwT195bdunWTr/y71Rq/oUOFcXInyGnbaMWWoNKB+Eop8C/ZOp+141/7X9HJ93Jg32cM8ONgwz75wiEIff5RAFdLUmLVtGxN3DxPbzi3g9nKFvMyhnIPWnYvlQ8vefEdK4391TVqX7NM4nhCc1/DI4ht9G4qurbiu1TUirEHjDO7TI3PMPa9oWjyg5l97C/ZT6204gzSsjZtgRYQhN4mosinID6jETbTHOaMgyjIDpAdbGeQ3bINEAbdQNG1lH+/6La+a2J963Xa8ZpuzF1LsdTUM0bmBJlq8VpF6FAhFxgXNd+IMj4vY9wvyVe+JxMfQZ/4OznERIRwO3dGwkBofbwACUJvE5W8IyWuk7XoeAbYzpZoJ0cjZRtSTMd1YEYE2jv6brj+Ll1ys4Uf6yN6xXKNeqsYJjX3o+QIIlLukUdAirJHMh62KfebmrvXJt/aL/XPYI78JfuTPY3jKpCjDDGUf5Et0YdZocHDvrAIQm8TXRVSPD5v0dTdiEkGGMoHimaJLFu2sfdXfO+Sa+i4/KRxP3W1Rs+pqNy4VCrLOoCaejL1PsUpiDWlo0CBUfEcJeeEeE7hOCWea7QqP5r29lzu4+eNyeUvPNXn9bjRU+OaP67qd/rY7vntbM/xu04MjZbHMYNsk5CCujAIQm8Tfb2aMopmTe+fq3hVTuI3vGf55jfe5Ds3rFC7+pi6OzuQjaulUom1aBSRo2Tq8lFUQIyAObPtmwCL1NBLhasUKghVLxjFqMgNKnLDSgqHnPopa/6bh7KMe7j+AenTT30+nvicHPnOF2GQcs3eqhobgVkSOmPMPwLoD618bvfnzakDv5ovX/zz+WKdoLk8U4FckKhXIiIgUU8dT4Jv+NMQECkEfkGDhOlG6sVt6s+xHy5a9JCTTgxqDMd8mh2Q7KvflPrA7x3f9UUpjhHKRbWREOveJpbEXR4kzZo895XC6j5gEvtVM5nv1slkvybJKfLco74Hw1K1phdrKxijFO7whgvwqV595n2m/BHEFO3iTvsxApKjjJL7SZ9lPZj4Jjq3vI5FX/jQshf9vm4mNi2IFQjMnjB1bxNHbVVxZDnNmTmH0qWGv4nG5NPRRLRIbRQh9HvDeo25QiMu9xFrNMrX+UguIzYRIjlFQk2KNtqlNqXCIhxAjILJUR3VXBer6Mul91f+9LEXX/OzKx/9yXuO3Fm/m8HWbDMELoog9DbRGR9QUtJm1+gRkntjopflne//tIx8JaW6eVT85SeEjQ9J7QpgKZEsqkoUrfCWNWq53lf0JlfV67Wi/RqZpWqkJkpjT7/ZGJ5yiSAJaK5Zfrt0v+a/ZVd+4G4Gf0EhZK+1gSD0NnH54sWe8WNp2uQ5L6BOYKv2fIfD+z+bwWfL2/kE2+y/u/y+jbXMb6ypu/5JzV/wpHDr16P6aiJkCZabXIUX+I78Ja7LXq2xCFArrX2z6zoD4sEmmrvN0vn2gf4X/J0Mf/OfQkHI+ScIvV3sAlZLmhflkme9fhVAFQ74pBuw72aTHWB3rqB3M+h4gt3AbuDvBbhy5YYVw16udrH+0Jh3L9tpJm7eGdd7PupO8QLXoT/uevytvtN2YpjAt8S6Z6BLsPp8V/0l4J+bOFxglgRn3PyjAC9ng0dJc9GmvVRewFtxgNtKv4fTwu0MYGFLpMDeI3uPjg0/+tXJg3sH3OG9dy7HbunK+M1T6h78XDwp/6Zj2P5S5Yi710xqDwZD8wmwCjZVL7HKy36u7+Zr72bQ3cO2+WshFQhCbyuiWSsi4xSoP/XdHnCUce3lTyl+zLFDj3578sijv7PusL+515k3Vzzf+kpUt/+mckT+S3Tcl3XcmxK7AclQt9pUu37E9/Q3cajALAlCbxPbGPRIMXVvEvEonvxCtNjYNSvFj6cQvN3HvvrY4T1/kfjxrT3e/LoqtT+NT5l3xUd9DU9Mcx40j1IkxOiaJg4TmCVB6G3CFsFleTMeqcaU3wOZyGyNrmM608xy5MjE+KE9/zlSf1enyqNfiCbN++JjXjgzhm5W45VT6GVNHiYwC4LQ24mqcxTOtGbwQM6sW5XPxFFmpNaOPP713PP6Di8HPh1NyD+Zcd/V5BR+JtvYFLbY5pEg9HYikjmZRfuyM47iVMm8tkqDRfg6xNmRvQ9Ewr9FRP4+Gse1QJqRaAowyO4QJTePBKG3lcKiN30UlBTf6pJNOWDGDr35k3j/xQPGmyOSuwrNrdVFWpaZG7gIgtDbiUruUKTJTNXCs1as0Xe2YlwFCluMYcCD+VwiyoR4NUhTg7UqQehtIAi9PUj5/7w1Xnfw0nKLPo36g6oeV3joZ01RjsoGobeBIPR2ImRFcchZi12h2LrKROcgpHSo+GWKdbWZ8ZqzRn3a1PMDsyIIvZ0ozqk263UXhzLpmLtabWqsodhga9Z1WPUmCL0NBKG3lzxvvtSzOJRcNAe4ofVNFkHVlK/VNFVjEoBtLThW4MIJQm8TWvyvCJhpsnWDqvqG0FvLluKXKRo42Cam7VKuTyxzOPMIPCVB6O1ExDdrfgVQcM7kc+jkUjszMq6Z61KX16QVIwpcHEHobcUr6Kzt5Iyn5XUTZQCDrRjWWS+kpqwg05QnTgEjJrRoagNB6G1Fmo1+baSj5d7nc+jkMuUaffajLWce58uyC8whQejtYarIavNCF4DslJUUYBODrXfGSTF1N03G03uUvFyiz8nMI/CUBKG3FW1qjS7ldUIgr+XJXK7RTSOJvRm8BE9cuwhCbzOtmLobJXPOzN2sWI2RFjSaUKDWguEELp4g9HYiNO11BzAi6eFY5jIQxYiCmb3fEACvWkT2B+adIPR24psXuoggkB1OxhKAHS0tpTxexuSrFRFsk1IPU/f2EYTeZloxdbcq6b4lhUN7bpK8tWzjNPudscbWXB6k3hZCuedzIwDbQXazTeD0kM3Tq6MMwEXqVYqMMxFEfVEQalaWstEIQYSMffuSxhZWy1FTOuPMrI7feI7Xqe01+T5Hm0nnEdg+45+7ZaYX//vlzsPA+btOPat4tgt9StCwxQCsYVzezmudZcAXJ0pxCrV4O8gJEItkpkkb3NhHB9Sj0nxlt3OhVoSykNTsM1W9KBt8Z92Cvq+oSjvb0Soz+r4/FQb4BpvjXcBBenQ3K/QeBr1MHePZw7NJ6GYLW8wOYCtbvWXAl11/yyv/0NS89BfYBZvo4fj65bf7nsVXu2rntSaKLSwaE78Cr/2RMasilf7Ys0SNdkcq1UilUkHiqkhc9WIQNRFGKyoaI94C4+L0SZNzDKcPuGRlKlATjWazhmqcqXaqasuORq3I1qKYwhdgZiWOclDGeOWvqyc/9DPLb0quJK4sVxOt0Che4aMoFpEUFYeSUey5OyBFfSKap2imoqlXSZ3oeK56XOBorObgYjFPLPFy9GHJ3D6r9Sd1cvyrVk8+dvSBI7ewKztzLNNj2m52stMMs0Kf6T3hnqlCl+3ld3oD22QbYBh0Qwz5uwAYAkVYt7bjunrPkqtMfMNaH93Yr/aKtcRL+r3p4zCX5bAGdFmPRFGvWrowdHohQlBXlIUxQOyEGLAIDiXRoo9ZHeWwOJ6wOU+ajCcl5yg5RyVnmIwD5LpKLQ7FzjLuTIp0EQewk52t6LdwNqb5fXQFiYAv2doLHrAZ64hZopY+NfR5wwot+sKt8RHrNGYFERWVoj+7Fp+50+IikJUto4SiF7NBSI3SJTEbfE6mldE3KcNdS+583Av7nzDZ2AnjDo56//2eevy1byzVscH9X0uFgUbJawT4AluiYVbo9xnUHaDPpB5xzzShm4+w2f4iu7KBqS+pnHSvXLni9X7VTXfQsabqZGO2XF/cpWbjGrWLljvbWRFLBUMsQixlLWZVchSv6g2oUdVSjj4CNQgnxEUHxNkjJmdYfCFsKUT9hEkZ8+54Iv4gsB9x+1F5FMNeiO7H+bfGpvIbEZLTxHfh5vqEVLHS5HzXgPci5nofv+e7MjHyBP66ffhVwGqMrkJkFZiuCCFG6FZhtUas04h1PuJyH7nVRG6VRqzWSLq1CJovKuAqKqJdqtKBNRZZFKssioy5CoTVWiFzSqYeH2vtOZNu/MeWvnhvt5h/yby/78uV9Mgf6L6v3TU8NN4Y7wCgpcW/iyHXxFtfEFzyQt8OprDag17A/wK7PAIvXHPj2hfUzdVLJdp2la8+Z2UarRPhypVSYQkG7z05OvWjqj7H+ax0ixmKvuOdKgBySrycMs6M4GWvyXnUZjwqGYfIOKH55DHjTqXkR4CHQB4GHgR9HOuGGbfHzKknRs50lvlVV0xCuT89i8Vq43jZ3O9Nm8K7z6wW1eXnqQ7hl5Pln/7Eqe9+25S3/9LVV1c/fzLqO2KzvkxkeWb8lXXvr6vDxmOSXfM90eVY6QXp6pDI9qmhTw2rveVqH+s1PtYrNaZPLb1Y6VWDQzUVr5PqdNrfp8YgJhbTuU5t5wakP0JurRtlSR7zE37TD4aX+gP7Jb2vYuRvPimjB2V44DClxVeQQbaZ7zOoA3Mxa5pjLlmhbwezlS3mLobyhtXe1H/NTW/2S354jUa325p52TVUunrVTvUhytWrV5eP4ERR0zgLBKgg0qFiKOLPdVR89IjJeNRk7JGMRyVlj0k5RHbcq/4AeAT8XsQ/CuyhYh+x+544CdOu3tNEXTj8Sk/WkFHIRLQCxdTTNWEwMua6Mamaoip1c44+L/Co1LsBewdb4iGGsj/csycBDpU/UNavanxn16y+dvmo58pJdVfWya86aPSag8K1Dxi97vPWLgMkorD+V/uYa3zMtRrn1/iKXK6xqSBYRHy5lErwKkAdVFS8AfqxUcWY65fD9RupvnzS+3etwB5757KX/O+9mt7/D3Lyb+X4QwcpO8B+kS3RVobcpTS1v+SEvh3MjsIA+gGG/PXLr7/mZ3TRy/vUvG1DHl+73FR6ehESdSSo1shVCvEWbbshLloCCxXwXWq8Cma/5OYJm8tuk7HL1HlEa25U/L4R8U8g+QOo3A/c35XLgTuH45HPsWcqr7rxbbvTW4vLjLvLhww1NpGtKRutNNuttHzdOTrherTo1moMRmgyDFYURYvadu6XWMHQdMOIsz6zhhl++NDDx4BjwDcbD7hz/fqOxydZcjKSNYnqjSr6vP2kNz9pkiu+aFhvTBQtUcMyNVzvYl7oOvz1WvHrNLbL1Eq96AUvDkyxSFfNdPo8MYhspGN5FfvWNVS4yXe8+2eWLvtOIuaP/yA6+aW7jg4dgWJqv4MBLgULfykJXe5hm7mbQTcA/Piy59zycrrfscLHP3YdHUsiIMPjvMtHUAExptirLube0HDg6GIVn4Ectd58ykyYr5tJvk893WPShxB/L2q+BflD0PEDOfTYcGOaqcAkZQNyMLDZwq5GL7NzGfKnoniMSEuSRVzzSXDnx6gxZQisb0LsXpX07GXG031mMxpDbhZllxvat68OHC5/vt140Pr+9avGTXT9pLhNJ9TdckL1tkds/ap/jMfjbo3MdS7mJl9xW1yn3KBV6cVKgpKgYmacJwCTeK2pdxZkCVH/CyV+eQov/0De9+iTy170ySEz+mEZHngU4FLo936pCF0Moncz6F6z8rrnvMotfddGH79pHZVIVamRu/q0xY7O3JsuzyLfq0LNYL5gE/tZO869TD58xOa7IPsK+M9vOXjN3n9h6LRuhQrWnXaY6fgP2NXslXxK47Nc/gLg5tqiaHNlnhsUZakv2p/QuBD4oqk8cPYMQBR03/C+hvi/KMBPsKnyzyv9talkr0h9fucuyW7fVakv/wsd4zof8+q8O/8h3x1dpjGT+ClPPhQdYIGoaEznNVFVAb2cylXrqP7q+jz6xZcue/F//wdz6o/uHh58VKdjGBbkdH7BC307mPeB96j8/rLb/uNzsupvrKeytK6OGi53qDWIfSqRlI4gX8WYnVGdj5mRQ1+1tX9USf4W3/UdOThtsYc4CFNr6aGGpZ7DK7WaZpsXKjr3Fn1GmupsryjFjKrYy2jFgM743cAUL7VFlCE3yO6UIzwAPAB8YMWKazbUyO6oi7zlO5K8+DvVtPpxN6pvzBfpT7lFJkbI0NO+D5n6VVj8cXJvFF1B3LFOO35lXR6/8aX9t71fhuWPBHgP280AAwtuKr+ghb4dzHvB68rndn/Udf/lrb77dUaVMTJHIe6zrPdMSiupIsb8mT358P8TnfhDz/DfyKHxY5ZCwTMstp9+2tD8BGSrMU95hboI8jmz6EOFkMo01WIZpLO6MGmj0cTc7hCUn8NQ498zpv34o0cf2QvsBT7Ws3rDHd7JLx4w7o2/VzkhX81r/n3ZcrOc6Cyxz8QgBoq9/FzzfBXRyuUu+sM/73vRKz4ST7xt4MjA0e0LUOwLNqlFQXawnTvXr+/4eNZ7zxbteZ1Tl9fxXs5jwWciqOsUK9+Wyb//vTV7buXQY39kDo0fe0/hhLEU77/RNrgNcdENb3aTNFfK7QLQqc97ti/U8JEkFz91b4bGrCwvf5fFbDHjh/b+y+ThR9/U6Xl1t5p9X4lr5j/FJ/RCdz/KzyOq47xX5+6Q3h/5D9miz755zXXL3suAb8XX2koWqtCLoKfNA3bzxLKPv5CuV0/4PHMQyQWOWUEtxhzXXB+U2p/Id06dfAWvrHqQgekpeXuvuqrWAjqrXfR5RIqicWb2o9Tif0rSmqn7bJn5vRvATB7e+xkj/hUVL499KarxsKQX1R5aEOMRO+qz9Ga6bv6het8nFOIdhd9gwXyvC1To20XALz1w9cCd9PyEqssyiC/+U1ONRWQJ0aKfYJu9ldrCinAy2GjhnAvnQSzMPtWsQeGMm128/BxQBtZtqowdfOxh6+X3OxCpXITIG5TfYGVUU3cTXS/73WW3bRsAv4PtC+bLXYhCt8KAp/+y512u0X9c76ybRKOLdfsKiEN1CRHX++rrBhl0O6buajvl2pe4FUL3c3ftmooqK6ZYs18jyFTQSlst+jnY7ZQtUc2OP3aH6+AarZg6OitheKACusFHbwHYWuQeLAgWzEBmIgBx9MZeE8WNlOvZHEcRW9Pcr6P6xg8ve/E7hKFc2S7bF8D7LjZiJI5p/soz58qRYtberC32oHYBlZJSkI/wdiMM5Vtc312/nC9HdPbNKovvUWQtUUfLBtki2n7CnwNVQNRc8ziZJuisA7IEyEGqinu+Vj/8Z0te/FtSRjIpmHvY1pL94VkjGtkWLM/tXE9SVJtYnhcUz1efLoAGDtvZbpRtVkB/gT/OPrjs1p/+7bT/nWu91ZrM3hVRTtP0uOQnWjfa1rAgt9cU6FCz/4DN5J/tpP/JfBEj4mc1WAOSorZThc2m6/1/33f7S++Xyf9Ljt/3LRhE2WZhk8LA/KclisTx1IRl9i9tZjfTvKiXaCaCb/qdicvEeZj/uu6FY2y7FNloA/kA8Csrbtnwkrxz4HKNf7oDoYZv5j2qRajjZUL8/wuwc0aNg3azEIUuABHyd5nqOz8cndSbfIderbGMorMacGHZVY06v0k6X7pc43tvWvaSj39bkj+TY4NfbjyuiF3eaQbmPi2xcfGPW2GNo2aj0J+W0hnX9BpDNc/mdeou29lid7BChUEHAwr4dy+/5eZbfMebFmXmF9dKtWtSc1+Ewc52iQiC+h6p2Ie19sGfOvHVLypl0MECYSEK3QFm/PCeL3eu3PA/Dsb+59+lR7P/kq2IrtGKjJc+0Yu98krhNLYTmrtFmGgV8VuXefvmW5be8S9PmPxPnlT/JTkxsJ8ZaYmwXQbZLWVqYuv32YU4aib2lSKjzKBzZdHLmHyM0aIf6mxXGuWcxaVSRBhvOq3uXmvYPpWyPD1DG2AoHwBe3b9p1ev84ttWqf35Phe9ZKXEvXUc45o5RexsP0CP+irGV8RGD+nEx//Lov3/1z0j2ywLrGLNQhQ6lB9QzXf8aqdL1v4gyl/1Njnk3p0tMz/se6RIN9RGvONFIjZHGdXMLcFEK6Rj6wbVrQc0nXjp0jsGHyL7xr0m/aQcv+9gaQHKAW03f8ynoqVs8NtaVXdMJY45LZdiVkRlb7QWM2NMamb3WZ+Fb1Hx+amg8kG2mRH2mrfzWicM+JmLgrf23NR/c6XjR6+mcnPm3N1X0tFfQcjwjGueK0QXGnx11huhCK3uxZoRUfMNxv/rz4187dcYQXeyb0FZc1jYQjcM7x6vsen1XauTPxg2/h2/Wh3mjVndvcUtMWs1kkk8OafnOV4IpXfUZqjmmnsQuYy4u1PsW/qpvOWFvnPgx/ru2DdB/r8rar/wKTtxRI4NPMLpiRVltFdRhWQncENZhuiC0xZVo6gxT2hCRXPuUVWxMvvNj+nDgKrYi1q3alnwob+oGstWtnopw0uL0Qw6wP0Cu/jX/Tdc9aP50lWJ+i2xyOvXabwuxqxaSkSijjre56j6IrMxms27cYAF362CN2K+LLXJnTL+G39x7LsfLAKfZMGJHBau0GEqq3R3OnmIX+xaueEbmdH3fawytvaLrsZb8l73atdj+jSSRKYtPFz46SjFfxYgLXKSnQXpxfbfSNQfIbeMih9Y4s2JX+jbcu8h8if3Svrd1Oo/7bJ6+FOHdiUz64410NKb37At29ikO8qqpTtmnAQiEluVpk1lip8rp09jrMYgaBNJqlJ82q4mmQfYzcBU5NiOqd/bGWS3APRzVIan1tYzU0CHAKK3r95ceY7vWpnk6avWaXTjWo0vm8j9bctN3L9IDXmR7EOu3p8i876oAWBALvrC2LgWG/CLVTQ1Yu+zCZ8xo1/5uIz9Kkce+4aCkSKcf0GykIUO07bOTB7Z++dd/es/W7X2N/eb7GffVx3p/is3zra8J3+F7zFrNTIZRVHGHC3XrheOnJGWiKpSelKvpNJXEfOalVTYqFXyzCe35W7sTUtfvDc2fLVT7XceJhnfa/IjnzYjD8vRwSNP9ToDU29MJWZDtdkwdUWpzWmGHSBijGorzJRfrLE5R4UWBYqNzzN4c+8Lll3dybWrcrPmWt/VdUqy5yfoHUvr5oql2N5IuqsdWGKBRD2Z9260+DgaGWdGuPi1TSNI3gAdiosRmTSYnTbhn8zYI5+1Ex+cOPTofxNwn2CblQWej74QosQulEbCGUtXXnVDIvqOSeFNGFm61lte4jr9j+TdulErshhrGuv4xpl0sdP7BuXVXE1Zi53iym0iIMJQESETOKWOUTIXqzwpsP+guFPHTP7kBPpwh3L/Zbay7z4z4e5zSfL/+SMTHD8+zpq1X77LL7n9w8kKP8ls9qrVdUlkv8vkZzhx2Y/0MBaN0zuVeddoOjGbrazvc1R2sEIB4jXf+l8v8T2v+5N6vxuRIj7/okaJ+k6seZz0yKt5YCMjI6fYQrThuxu6Xxkt67wyi6o3qbUjMeuGyTZX1Gzq12jNarW9Hl2doOt6JKosJsKgZKrk5bJNUU8RF4GiBmRW++BneFq1AtqlhrqoOWAcO+0kX2TisW/Y+n/3/sifc2TiaJm2O3VeLmQuJaHDdMqhA1i09qqrfa5vGhd/NyI3xBg2uw5u91V3h+vkaq2aqHyPCUWpYGH2om+g06GhClJUiC2mtzZCMGJQtAymLi42E3hOkLsEf9LDwSry2OfN5K19Yle+Ie/VfFb+7ELoX5fJv/2Z41/d9vSPnyVr1v3di/ziN/xFfaU7IX4WQkcriAyTjY/Bn/RLpCfUPcfj1xmRlVWVxX1YWxVTfjdSOloFhydXRVHnC0FLKeiGF3PWX6VO/RTltjsQjVVcJhodFs/XbI2vyyRfN7V/PmyyvyLbN8gw44XAt1kWuBWfyaUm9AaNmZgHuLrv6kVHOv1LEsfPpOJvw5h1i9Wy0cdscZ3c7KruSo3p18jkgqTl+q3YLC+m+S0Qf/lLzwi8EVGKJGaLSIRgEawIVpUantrsc7x9RYx5hOR7NdUP9Qh5t8pEH+aUx3hRqQGcLPudjeLUiugooll5m8FKl6rMXMN1YSUCIks07rTrDyojA9dSff470yV+QnTWLn4DdJuISKVYQ6uf+h7ycq0k5Wc44z02puBNb+M39rsa1iICX1XjIzAnxZsnTM4PTMaXzTgPSPLAk5J/Fhn/Sw4Of8+UxuW3wQxMH+6S4VIVegNTtFKaLhSxdu01l404d+ek8loV/3JgRSwR12mFG1zM813V3aQdLFMjnRiJVchEJUGnPPic43craCwDGhcDV8wCpFmveQWhUvgUzxqvUtY9B3Ipf+u0W02A+IxnRaVFjRuTjHKqPDnLC9IZ5MUR1QCihZe6pRE/Z5afUcCCVhGtquBRnRSVEfFmt834ttT5ntTdQ6b+4CnNP4nhi5gnviL7qTWq6ihbIi7h+u6XutAbzJyRNzwxXLtsY+/hSF9QJ39NYvyLgJussZ1darjCR9ziO7jexXqlxm6dxtKn1nhBfDntblgbV9qBVkz754Ly4jFlYeSsxJGyOH1jY5Hp9/AUUUA6fZ+KL/wSTV+Q5gJl5ntQDIIFIkStohHiBZUxUfukyXnc5DwiGfebOj+gtv+kuPtyyb9B5D5D/6Hvml1Fe6vymPasl7hEWWjnbCtoWPnTrr6v5OrqfSv9NaesvyFTeamDO0DXILKkT2KWe8sGH3GDq+gmrepatfSq0R6M9KghFyRDJS8tP5z9zc/FLGAueKpxL0TOtM4NGmOOoNHbTi0wISpjeBkVL/uN40GT8n2T8qQm6THJjx2S/EHEfQExX0WzPRw8+KSZ8Ro6VXeOBRXZ1iwL+TtuBaXxOn1637hj9Zorrx135uZRozeCfy6izwNzOQi9GNZpzDqNudpHXO4i1mqUr9OIPmyjPLCUTiNx5QWgMQvwM9b+jdeb+TswzUwxT/9dOMgsRXZeBGrKKvPlIl5zUTki3h4wOYck54ny54Bk7JVk/JT674N/ANHvYv136Ji8T/acGJ1Z5FKnDYPnGWC5n4pn03k3c+bd2CY97Y5r11y3bL/PV+aqN2bib3aizwPWIbrCqO3vkYguhD41XOFjLvcR69SyWiOWqvWL1fjFWHq1qFSSg+TFUkAa4p85D5wRiPGsYOZWZ+N36RhTW0y1saARhaQn8OaUeDMqnlHxjIjjkHj2m5x9JuMJTTlFPjGOPzIuehjcw6D3A7uw+thaOHFg//7aGcuUpzwPnsk8m4R+Lkzxs4VzVX4V4CfW3tb5L7UT60cr2boJ79di7bV4vxHhatDLQboQiRdpxHIilmFYqpZlaugvu4Su8NatJGKZWqqllTKFB14MSL1JIzIfZ2ordiVi0EhFXVndodH3bgy1x4znqHEM4xg2jmFxjOA4Qc5x8vy4uHoN/yRo0QZL7V5Un0R0H2T75NChYzOn4DM+k4bFbtz8jLTYT8ezXegzeapZtjvzQQK8jc3x/X2nOvfF/vJJlQ0T1l3pVa9EWA0sL36kX2B5LFEcF9NPFquhD8sytSxSYYOP+df5oqYiLrrKHmJnnsHFnvM53uFTIDOC305/qEguKvVZet090InwPZPwD9E4EwLHcRw3hZgnvcty0eMZesKJHsdzHPFHgL0Y9qL5o0TR4x95on/8HWW/83O815l5N+daDTyrCUJ/emZM9bZIuZY7pxGdOSe8a+nmxQ9Ujy8Z87I4qURLVPMVzutqYCWwGnQlcPNy4jWfq6+bVVpLuW3Ex+MxjoqjRwWrRa/2KsXf1RmHjcvHT492Gg+k5WXBUwQYOZRcYBLHNb7CD7tuZlNPzaHaRyR/Y0YP/1Z1//9Bq4fAH0DNfoQjGE6R+9FFsRu9ef9Vo19mKG/MqznHb06fiT2rLfWFEoQ+e85calJcCOB8DSAaTzKAWX3F+9dI52/9bW1VHkF0sWeqUuyhv766//5HTW0CbzsRjVCpIEQoVWYKQKgCpvATSo7qzKxRQUhBctCEosRbAuJQv/EVftGyD2Ur9SReZlF/K++VKHrM1//mVSe//EYLxR4WT6nOsq9dj5ZCPt1PF7hoFnpSy0LmHCfeUOOPc1wEph6sgH03uAE0z1EylBg5rffXhY7Bg/yHfNnP/uOS4d2jI7Zy0lit53Wb93abPM9OM77OpbZoIQYiotZWT1sxRNGkFxHtGO9w1ljt75rIt6K8LzX3YORHRNWXLoZZkRr1Dsxfsym6m90z45Pg9M+zFX3tAjMIQp8bns76yHuL6Wbdo6R4uonO8/BzY4BMlGuMPfXZPXsSgWTqCCOzGfbZfBnwq9fXi/W50dnmb6iAKzumjND5rPF2LxSeLTs7CxRbd0DaRGhphnJMvQDyE8USXFr0YyhaVwlCmgrMdtZc7H5DMocF6APnJwi9LZRreXWJF8jl4lPXGt67FGXM5B7QTWdv0Tfz46HY1wbqRTDQ7J06Rcz9nBXICDwNYereJopgclvzCqnOzqILSIZyqsVjOwuV1KFk0oTQBbKL73YUaBHBorcTQ+pFSUVnNTEWhEzV15OLq8N2US8BoJo6KcJ7Zy304oIWhN4mgtDbiWrmtBD6LL4IFcAJbqQrmyMBbWkE3CRFLH/hsr/4C1IRu57jL5lCDc80gtDbiZjUo1N7yg0aETnnE1Rjje4gG5Vkjpxc44281npO4Q+YLQrkYp4yviAwtwSht4Viv92qpk6VtKgXN7Ul14X4rnLD+nzSKi1lVksqc2splbS06E0541KcA7iWnuB9n2eC0NtDcaIbzYp9dBVBysQPkT+NRs3vRMfJnibcVBA8mo1ITeH0UtItxUiaq5KX47xYtNxU0NKi72zt6AIXQPC6t5HYa5oLLkMtqHZg5ICkR//QnkgS49c9Tzt4jetm4pyCL6yrV9KDNp0ji97TKNySOIFs1p1tBUXJ8GHq3iaCRW8j4jV1qnkqilVxVTGsc/Fnkyh9jVGju01aZmaf47k06kNpciyqz/XUPXHqSaUQ+uyccZCpP9MdEZgngtDbSMVGmQp5VlhnVYFRcTn793/P4x6uiSKce0uqcMYJKlLf39Ext5bSaJoDZwanXwwKZHKW3zEwTwShtwcFME5TkCxjulj9sMmLADSV43njAnDmE0sEwFNjbGyqIGZrGWq8aFIGzMyqr5iWqe4qmrR6hIELIwi9jRgXZUgxdTdFPiinRGuAIpKnnJ3e1fDEC8WCWcRM0tubz1G+cblG13IfffZlmRVwSouaqQYuliD0NtJtNQV1RWip4FSZxI8CoJpmM+rDlLnnfhLVRuYKCFZ1kn+1Z26nxGrL7TU/21DdInheJIWi62xLxxd4WoLQ20gc+QwlK2PdxaHU0JMACGkjQEVRuhC+Y1LztupB+bSdoKLFV2dhgoEm2pw+DQpYo0lO4Uk7s2L8BR5DFCXTMHVvF0HobaQz70wRsqxcweYoNSg6sQrpTDOtCDtl/Bu7pTb6sWiUmni1CEaYBHCz6t12YYhGSY66rFw0zMYcK5Cr1GF2TR8DzRGE3h4UYEmHpKjmGeBBvCoef6h4RDF1F0QtoqPiuU27/m8r5q+PGE8NdREQY8aKQ959rvqQLRlnZDR1imvC6y4KqNF664YWuBiC0NvI6prLEPIUxYMxaNJj/ONAadG1UV5KcpS66EmH3KtADa8GoeophX50zix6VUm8qMtl1um0qCq5yWutHlvgwghCbyObhklRyTNp9Hoj7/bVowCopkX1B1WDoOoTJT8M1HwZd66ASNExdVcjAWUOMJ4EcM3Gurvc1AE2MRiccfNMEHob2cHuDDRPy2jwSdH8IY6X90pWNHhEi9ZEMv5jx1bux4vzQCZlWWaZ+xzvbk8C3jf6y89yheBTo8Git4kg9PYhUeGQzhpOtxq+/mljG61PU0dRE84IGGTiMj41acU4LW9XYBI/l9ZRARZFmiKSTwv9YhEM+BSdbOXgAhdOEHp7UMAUCpXCogMpjO2ORoqtMtXMiZKLIgrjUiSEWNW0MXX3KPUyRHbXHA7WOE1Q9enMVi5cWNcELWPyFfykJpMwh1l2gackCL19lMZRs0aHFAcjdB9y5b3l1F1VRBgTnwCIIUGKuHMF6mWO91yyrHNRAuLystJdY4utGyG64O028VqxYereJoLQ242QpFP1YnSYmynCWdWWlrv4kmqq4wCxt1nZMkk8SiJNtW27IDamUQq4mRY9Rrhf6jqCI74AsWeqWsm6QlJLmwhCbx+FNjy1hjOughxksBSuasOiF40a1BctGcQ5VSUTFQ/Uxc1l5poCfOTQhgTFJ0XxCToR7pM6/6p6SP5TfPzsdjRnIIDH66JkIuVpHhuYG4LQ242QNBxrvV6eKG6idMYV9eQEIRWGAcTYvCjiUIaVlqmfc1meKWLQIdJIvskrYqmLftSTf+FrNuEQmX+6KXwuaF+8JFj0NhGE3kZKYdRSKSx6n0b7oRR6adFzkLJ16EGAinPOq5LijQcSXySK7Jy7YTZ21NJS6JoIXOWjb1mb/Z4aOC5Oz9eQTYAMVR+Nh3LPbSIIvf3UnSo1lONRNt37WyQr2hYrBqEi9nEAMcYp5JlgPEpmZJ5SPzVpRPBlKIdx3vl8rwMmy6y281l0B3pkfgYaOAdB6O1GTVL0IPec8DI9tTVMbaMJsMLrYwDV3DhVsgwVVaXu/ZwLvbzw1BrbgA5lQnxKZDOvnkQ4Lc5+yrVY/ruoP68+CL19BKG3G+NrTpUJ9YwaV4NGuybNclUcSIJnzPoJgFycQzRr9ELLTJbAfOR4+3pajE0cnjGjdTLjvKomMl00UkBjiiqQDW+8IDhwJ0wc9s/bRBB625FaLlAj9+NkE9M3FyGwHpVJlIM4BbA2ylHJsmIh7yd1nsJKVZLCoqvkChPqJomi3Kum9UZFWpQYkb+Ix82bqwf4pqlRpcind6FNclsJQm8jCuCoOQGnTE6io1O354XX3YOZxHHYuwQgyn1WWHRFlDwrhT6HOd6FsTZSS0XxIuLwjOInSBLnRetJ2UmiA8MJ8mN/Zkf+8UGT6Ieik2X2neBQd8QeCRa9TQShtxtDkqM4dGzC6Imp28XnDsWJmFx9fX/k6wDGRA7IcgEDeU2jSZiHjDCvpUXHqJKNxTqKMd5TWHqLuLjoILdn+NCe10XOfOaAdYzgXAR4cPutDUJvE0Ho7afmEAQZWU3PEWiUb7JpjqqiCHLqAPk4QGSLXbcy2SUbj2ZM9+cSod4obWXRZNJxEmM8qklj6q7AKVGnIIh8yokwJuotQi6heUM7CUJvN1pM3UUYeefw0PjmzZsLj5X3mUOdF8GqjHzd1MYAOjKXgWa5QKSSnUhkHOY2UaRMvqk1ilUaJPlWXBu5PIo8QpLKtNBreCegXv0Jr54Ub8qOMhnd+8I6vU0EobeP0jxK3aOcpFiD12o1AYisTR3qADqE4fG+PacE6IyqOVDWgpfs4Y7x+bHoKkmixfaagfqDtz94sj/q90CSFGG6CpCgOUAkJvNAI7XVFXk4gTYRhN5mbE7dAwclP62eWuw1U8F5ERapPcxuUoOwrJ5noGmOYkWzIx1uFOYhftz4pGHRM0gZxG0YqzlEk2TG1D1pNGlQzbwqGSqm6CiT0TmHFSwD5yUIvd0oNVCGxZ2cebMYn6HqilZI5R467zEu7nJAngtYNSn79tWVpw1Ma8U469OVcLwHeHVXf45qUp8xdW+UdBZT9H7PpeykqqRsCFts7SIIvc2I0dSDDos7CtDZ2akAVR9lgK+L56TRMmJut7y2d01eVKVRkrmtLnMmtQRFFWpaTM/fsm9rCkX9eSmlnki5r+8096CNdlMqPmXT1MUoeN/nmSD0tmMmFeQJkx4B2FWWijEuSgGfqhbBKcBOjspz99QcFJFxdfx8WEiZdsYV5WLScnoeM+DRwhlXFqUgUyYAYuMzh8/TcuruIWUgCLxdBKG3GRFR9S7f47MvFbf0lBFwmgGaFOWixhqP38pOB5L5Ys4/f1NhmdpHJ5MZ0XgiSca0py0XPw4gxmZaVLgtWy1LAmGN3i6C0NtHkStidNST/5vh4Ue/ChgY8lBGwIEmeHLR41CkokaIgmZOIDE6f55sL7WGF93paUUek0ymk28cFM5Br5kXnSoRraEdU1uJ2j2AZzEKkB7Y+wjwCI1CLKUDvRJrCviaKKgcATg0Vbtd8hyYVJ3zMlJTGE0UJcWTG8an34WkuUBOkU6rwimAqnH5mJq8sUZHJAFwzK71cqA5gkVfGJzVTsnnnSlAop4elQMwo9Krap6jJPMZbaZRvbDoivpCzACIr6dlbTsALZtEGhdlWo5TEMx8Jd8EzkkQ+sLgrLV2Z91nKFrH6Uul8zGAHnq0zA1PPZAyn9NhVytKUitGZDomnyJPPRMVUVA1xwGsjTMEl5VTdxFKoQdj3g6C0BcoS2KXAUyopozccAxgfLrtUpaLUod5qi4DeJsUjjgwygyhU8tmWHSMOQYQOZ/BdGNGwZRC3xH8cW0gCH2BsmipS0H8iOR1OKEAuzbVGmv0LAfSstb7fBAZzXxhuekSMzzjrlqG4vDiULry/BRAJfIZonlWlsJS9WHq3kaC0BceCvCZPXtSEEbQU/CWwmCWwTTFPrqSaCH0HfNRQdn73KuSKSwtnYMlhUUXSMSzxEV1gP7cFw0kKQZnMKWnfnew6G0gCH2BYkAN6Ihxwx28tBD6rsaeHEnpGJs3KynG5qB+QpQVzp6ccVctxeNRSYHD1UwBemsdOajLpRB6rBL6rrWRIPSFiZTN2eIjJj+aNeTdQItiFfUpB9c84HwmSjomHqQoSFnUtpPGGt0kKCeLpDXWxq6Yupd+RivUoYjum7cxB6YIQl+YKGBE5fsnlP9cuuSlETWHaJoDicxLd9IysMfmCNkYjlNiZu4S1NKiJhw5Pj8k1gO8pGdVhpLnFEE2lI0mAu0hCH0Bk8X2X+WH9wyV/5whLpM4lAQdP+cT54DU+gwlGxdPvahbSTnrqGcoThCvpMeS1AO8Zd+KDHCN2vRW574sdeCpCUJfuHj2P3KAc31HqqlDSedR6NXMOkSyMTypma4/H9liH90pqEhy3HbkAHHZxskh5EV6ayg80UaC0Bc2jbDYktK4G5KiQ8r8CV0in6Gaj5JTy6en4VJ43dWLourr++3IdFiuqmvssQdz3l6C0Bc2Z4aRNRqpJzlKrSwPvXsettfqWZ6BuHH1eZq7KWdcl0oN1DtAkMkjcZpPDVQkz0XJUNJGtmugLQShX4qISXOUcXGnnv7BLSLuzBDyCdFabKOpQB0rZhKKSjgiMkF3bdrpNuWM0/nKnQ88BUHolxhlu6bECRwXnQ+hF5a4luai6iZwNSpmalsvVlMD8VmxXz5O/XimjRmGkLoyhTWXea2GEziDIPRLEUOaqtdhm9Sf/sEtomNpBuLHRcdvcp2TUFwBKl7qiPoUxagf5y2ksL0Quqeea5HC6kqLvnPeBhyYSRD6JYj1ktdROaAkMKftmKZZWstFNB/Dj15z4tap/XtLNoni66JEYk8ygN/JTlOG+KQNZ1wuZv5y5wNnEYR+aVGUmQKTeffR49qxm+I7nPv17+7dqYKMGJdYBvLydVmVxzXAZaJUMScBhhkuzivVpHDGeVIX1ujtJAj90qKoEGuSL6SH976dI9+doBD5fKx/DXB4HP/RQrHbBKCv0uOAel2EDl/4DA5dfXm5RjdJETEHLuyjt5VQSurSQgHGDh48Xv577uu5N46/aVMkJ2vvSA8+9nBx86AHGKsc86Raq4lHypDcE1kjnbbYBsxQsjB1bytB6JcmDYHPnyd79+40hYc54+LSGcdKltcmvGdUOF3MqmWFWMXLPNa3C5xFmLpfmrRrq+qs2naX71nsgdqEKBM4D/B440GGxKHkeHVlUssNrAjbbG0gCD1wMcx0qCnAR3itA2qTeJKpDLXHG49InCgeXOp8sOhtJAg90CQDipJMimdMfAawKC46P6MmyRQc6l1R+Xl+tgIDZxGEHmiKsl1ybQJPWjZpeGTqTk2cKA7yzIV89HYShB5oBbUJlHF1pxerVJJC3ZJlJg5CbyNB6IFmKLbRlGQST65MAvRWKlp63BKH4lCX2jQD2MRgcMa1gbC9FmiKUrX1CRypkYnT7hRNMxSPZuJCSno7CRY90AxTEXAT4hnDTwDs3d0oS029TE7PRq0EobeRIPRA0wi+NqneO/Vjp91RVqt1htxUo9BNtY0EoQeaxiC1uqg52OVPQNEjrrjDJg5QJRsdmUgBBto3zGc1QeiBZhAAIxJl6r+Z7L/6MUCGGCr30UkUyEXT4a5KI3c+OOPaQBB6oBk8gIr5ZCry44MMNqLfpoQOkKpm373uu0no3NA+gtc90AwKkB/Y87Uzbis0bTURhdRoxhC5Bwlibw/BogdagXCuSrRpMXWfRHOYagYZpu5tIAg90ArOnTIbaaLAhBYpqrvLYhWB+ScIPTB3uCL2fdw4B3A0NFhsG0HogbnDRk4VxkNN97YThB6YO4zxoEHoC4Ag9MDckaROVRkv89QD7SMIPTB3GOsV9aMU1WVWhDJSbSMIPTAXlCGwkUdJx0RTCNVl2kkQemDuiOvOC8mEuDL8NUi9XQShB+aOKPKg6UhZHTbQPoLQA3PHCCiST6h8r91DebYThB6YMxZ1d1i8vntyWeX3KcJfQ8nnQOAZSIiECwSeJYRZYyAQCAQCgUAgEAgEAoFAIBB49vD/A18GOeFa+oZkAAAAAElFTkSuQmCC",
          "x": 123,
          "xanchor": "center",
          "xref": "x",
          "y": 233,
          "yanchor": "middle",
          "yref": "y"
         },
         {
          "layer": "above",
          "sizex": 150,
          "sizey": 150,
          "sizing": "contain",
          "source": 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zZt22ZWOcb4467i2ym/kpTkt91PdSF6bVi3bjPr1m9h1aqNzP3jX+bMWcja9ZspLi6lrCyIz+fB43HZOenNJe1VVSU/v5BuXTvw0vO3csjg/Sq4R2uAjIR8UghxVYRGuMeQfU8junSh3Q/cxC4t62alk++n/sZFl97Hpk3bSUryN4uqrqqmSizrwOmGQY/uHRnQvw+DBvVl6JD+dOnSFqez4m5Lqtcg0DQdp1Plvgde5ba7XiAzI9W+lroS3ZTKFWvDywCVSASDIVav2cSsX/9i5qz5zJ23iGXL15pqvtOB2+2y/NxNfy8dDpXi4lISEnw89vDVnHLSGHvhqYHskZL9MSHEtXtaquses0ePIPkd7ILkco+pqgqvvzmJ6258glAoRGJi05Jc7rc1TScvrwBVVenYIZthQwdw9FGHss8+3e1qrRXHbhK73CBXTkQhBPv360VKcqIdrlsf6WrWr6t4yyKltIGBqii4XE567NWRHnt15Owzx7Fx03b+WbScr7+ZyU8z5rJmzSbKyoIkJvqs8RlNptqHwxo+n4eyQJALLr6XzZt3cO3Vp9vXUA3ZBSYXNOAawzDKhBC37kmFLHZ7iV5pT3498BC1qOvWdxBC8Ojjb3PH3S/gcrlwONQmc5vJvOzS0jKCwRBJSX5GDB/EEaMGc8SowWRmptmfNVVvY1eqJ4Bdbnn79hwGDz2LzZt3mJVjDKPRqnt154okb+Q+uLCwhCnfz2LS5OlM++l3cnLycbqc+Lweu9BkU0BRBLpuUFhYwpWXn8yD911u7+XroMbfLIR4YE8h+55AdIdlXT8beI2KTQkrf9Ymw533vMRDj7xBQoLXKhQR++coc9bLygKUlQXYa6+OHHH4YM44bSx9+3a3PyftA5UrxNYF8ntjx1/BtB/n4Pf7bD95NIleGTWNedXqDbz/4RQ++vg7lixdg9vtxOv1IKBJDJ1yPDm5BZxz5jE889QNuJxOe9tWDSKr11wkhHhRzrGYDzaG2K2JHqGujwa+AJzUaHgzQ56FgKuve4ynn/uA1JSkJirjZErwkpJSwppGr56dOfvMcRw7YaRddhlMlbOxbZWkm/CRx9/mltueISUl0QohjS3RIyG3F5Fbim3bcpj89QzefGsyf8xfggASErxNZvR0qCo7c/I55aQxvPT8LXg87l2R3cDc/h0rhPhyd9+z77ZEjyB5P8yWvBnUEAwjJ5IBXHv94zz93AekpSbFfJIJYUrxQCBESUkZfffuxvnnTeS0k8fg9/sA0+ovhGJ3OGkspDvpl1nzGTXmoiaT6NXBMMDAwLDsIQCBQIj3P/qWN96cxJzf/8blcuL1upuE8KqqkJNTwHHHjuTVF2/H7/fWdg/kXNoBHCGEmLc7k323JHpEumFb4EdgL2ohuQwoueb6x3n62fdJTU2ySw3HCqqqEA5rFBaW0LVLOy668HhOOXE0rVqlAuWJGvVVzSVqsidIKbVly04OP/Ii1q3bgtvttENHayJ6XTWbOjZgqIJIAyhAUXEpH348heee/4hF/67E7/fhdKoxzwJ0OFR27Mjj5BOP4PVX7sTpdFQpBRYBOadWAMOEEBuM3bQ01W4XAit9nIZhuIE3MUkuA2Iqf9Ym+fU3P8XTz5gkN6O+YjM+WZSisLAYh0PlystPZup3L3LFpSfRqlWq3aFUhpU2FGYkXNWXbMnUpk0GB/TrTUlJWZ3IKbcXu3o1FPK+gLnIJfi9nHvWeKZ+9xI333gOXo+L/PyimIfahsMa6ekpfPDRFC685D5CVrZeDYucgjm3ugHvGIbhgfI5uDthd3SvSQv7/cBhlFtJq0BKkAceeZ0nn3qPFEuSxwqqqhAMhiktDTBixEDuvPUCu5Sx7K1WnU+6vjAMg+Ur1lmZZlXnXDis4XSopKcn43SqlqGx9rmZl1dITm4BqqJgUM2kN0BRFdq3b91oNVC1mkXoukF6WjJ33nYhx44fwf0Pvc4Xk6fjcKh4PW7CMfLBa5pGenoyb73zJUlJCTzx6DURLsuqw8WcY0OBB4UQVxqG4cDcv+822K1Wpoh9+emY0lyqVlWuQ9Ysf/m1z7jy6ofx+bzyGFEfl1TBCwqKycpK54Zrz+S8cybgdDpsgkdDSklVOycnn4GDT6MgvxDV4aj2mqSUCofDtqehNtX9kssfYNLk6SQk+KoshqaF3MDrdTHlq+dp2zYzavv7yir9u+99zd33vczadZtJsuruxWrvrqoKubmF3H7r+dx283m1hctG9rQ/Wwjx5u62X99tJLq1N9IMs6nCM9bbNZDctPh+PulHrrvxCTwetzxG1MclY9Hz8ooYNfJgHrz/cvr07orpY65TqeJ6o7S0jOLiEoIhDXUXtobayCgXgOKSUn6Y9hu5eQUUFZdWuU8Cs+eby+WksKgkSldRPj5VFfbicuopRzJ48H7cfufzfPLZNDwel71gRhu6bpCcnMD9D75GdlY6554zoSayy3x2gKcNw1gohPhzd9qv7xZ7dBnDbhiGH3iR8qYKVWaxJNf8v5Zy6RUPgVGuKkYbqqpSWhrAMODuOy/mk48epU/vrtY+XDRqT1sdZBzAho3bIloS17yf3nWAjTlHFyxcxs6cfLxeD06n2SIq8uVwOuw665u37LAj5aIJOWZN0+ncqS3vvHkfTz5+HR6Pm6KiUhyO6BeDkdfg9bq54ZanmTptjlU1qFruCsw5lwi8aBhGArtRHvtuQXTK+6DdBQyihn25aXFW2LJlB+ecfye5uQW43c6YBMPI5IlOndrwyYePcON1Z9nnUtVdthRqEHTdjHCbNXsB+QXFdpRXTa+6HA9g5qy/KCoqtQOHqjuWoggKCouZM2ehle8dO3VaqvMXnDuRyZ8+Sd+9u5ObW1inxau+MKxSYcFgiPMvuoclS9fYpaWrGx7m3BuA2RGmWiNwS0SLH2SEyn4kcDW1WNjBTAq56NL7+efflSQm+qKu8sn9eF5eAaNHDWbKV88xfNgAO3+7MZb02iCPXVoa4ItJP9kFFhoDRVHQDYP585eghTWUXRzQoapM/moGRcWlKEr9YujrA5nBp2k6Awb04buvn+PUk8dQUFBkjjvKZNd1Ha/Xw+Yt2znvwrspKCyuiyX+CsMwxlpzs8XzqEUPUOYGG4aRCTxHedSbqPg5cw+pKAr33v8qX33zs53UEU3IyV1YWMIlF53Ah+8+SLu2mZbhL/rSJhJhK9Xy9TcnMWfuPyT6G7+IqarCtq05LPp3JT6fp9aQVE3TSUjwMe/Pxbz+5qSYZ6YJgV18MyUlkddevoNbbjqXkpJSu9RXNKFpGomJCcz5/W+uv/FJu39eNWSPnH/PW3PTaOlkb9GDw8wtN4B7gY7UEBSj6zqqojD5qxk8+cx7JCcnRn0SKooZABMIhnj4gSt54tFr7YiuaLjMaoIsJe10OJj+8x/cfd/L+Lxu9BqkaXk+e3l2W21axopV61mxar1tsKwNuq6T4Pdw3wOvMuPnP3A4HHZcQKwg03cBbr/lfF587lYUVSEYDKHGgOwpyYm88dYkXn71swrnrgRZjqodcL81R1v0Xr3FEj3ClTYSOIvyZJUKkMa3FSvXc+31j8ck4EJVzJa/iqLw0nO3cPmlJ0X0XYvt85WS7dvvZnH6WbcSCATtnPTKpDYwF4VwWCMUChMMhigrC1JaFqzx+L/M/JOy0gCaplmkNao9trynDoeDQCDAGefcxg9Tf4uZPaLiPTBPoGk6p596FO+/fT+JiT5KywJRX2QNw8Dn83L7Xc/z5/zFtVWXFZhz8iyjvKJsiy0f3SJXoQhLZgIwB+hFNdJcGoo0Xee4E6/n2ykzoy7NzVh1s4LK66/cxZjRg20ffSwhCZeTm8/Dj7zF089/gBbWcXtcZux6RHCHJKLb7cLlcuJ2OXBZv3usAhCrVm8gEAjh93mY99v7ZGebyTTnXXQP036cg6qqlAWCBAMhAsEgWsS2R6akWu1mURSFsrIgLpeTKy8/mauvPI201CR7LLFEOGxWBPp19gJOPfMWtm3LxedzR9UWo6oKRUUlHHBAb76Z9AwJCWZeQjXXJufkEuBAoMD6XItLaW2pRK9cKaZaK7sk3LPPf8jV1z9Gakoi4XB0H3ggEMTv9/Hma3dz+GEH2hMt1pABKStWrOPrKTNplZ6Kz+fB6XTg9bhxu114PE7cbjcejwuX02mG1apmDTdVVRCKgtOhEgppnHjqjfwy608y0lP5ffa7dsBMXn4RWjiMphvomo6m62iaqRGUBYIEyoKUBQLWzyBlZUECgQDBoEZpaSnbtuVy5JghHLB/r5gnyUjIZ/D73EWcftatbNi4FZ/PG9UF3uFQ2bkzn+uuOYMH7r3MKkdVrfYi5+aDQoibWmogTYsjujTAAT2B3wEf1RjgpB/5n39WMHLMRZRZaly0LMGKpa57PG7ee+s+Rgwf1CSSPFa49Y7nuO/+V+jQsQ2/zXy7SbLXYgn5LBYsXMaxJ1zLlq078XqjJ9nN+2JWmf3s48cYPmxgTckvMqW1BBgkhPi3JQbStMg9uqX63IOpulcxdJgRXYKysgA33PwUuXkFOJ3OKJJcEA6Hcagqb756NyOGD7JyxWNLcrm/rvgy99o1vkIhgqEwoRpeZWUBQqEw++6zFz6/KfUE5aWSa/peMBQ2j13bua1XKByuMu5YZ6Gpqoqmaey7z168+9Z9pKYkEQgEo2aNl8lQoVCYG299hvz8oppcbuaKYM7Ve6Jy8higRRHdKG+COBqYQC1WdkURvP7mJL6f9htJiQlRU9tk0IimG7z4/K2MHnWwXSk21lBVM/us4suMSqvx5TTrrVeOZpMvj8eN0+lgzOhDaNs2k2AgZF9nTd9xOh24nA7z2LWd23o5HY4q445F6G/V+2WSfdDAvrz+yl14PG7C4XDUyC5divPnL+GxJ98x50btVvjxhmEcYc3hFsWtFqW3WTfHCcwE+lPN3lyqT2vXbmbYyPPIyS2wmwo0FrL4Q2FhCU88di0XnX9cbXuzqEDGmwP8MG0O69Ztwu1y1eg+ayhUVeG+B15j+/YcFv/9GS6Xk08/n2bdu+idRwhTG2rVKpXRhx9seQhi630KaxoOVeWzL37kjLNvw+Vy1rsoZk2Q/nSHQ2XK18+z/349a1Lh5Vz9EzgYCLYko1yLSWqJKCZxAibJZd2uSp8z1ar7HnyV9Ru3kpaSFLV0RkVRyM8v4tqrz7BJHvs9uUmCsrIA997/Mj9Pn4c/oh57tCAEphXe48blcjLtp985+9w78Pm9UQ1nldF7vXp2YdCAvcnMTEPXIcou7wpwqCrhsMaEY4azdu0mbrzlaTvzrbEwDAOHQ6WgoJi77n6RTz561NJWqixeKuac3R84QQjxdkvaq7cIokcUk0gArqHcwFEB0gA3ddocPvz4O5KT/Gh6dEiuqip5eYVMGD+cO267AK3mqiMxQVjTcDgc+JP8JPh9US+cKASEQmEwTIvy9BnzcHvcJCZGd1FRFIHDoeLzeWIaSFMZphqvc+Xlp7By9QZefuVTUqMkBGRTx++nzuazL6ZxwnGjrLlYY725aw3D+AwoMVpIi6eWso+QK9/xwD7UsDeXRrKHHn3TqgyiRGUyqYpCUXEJfft24+nHrzd7l9E0TQXl+PPyiti0ebs5YXXN7toazZdhgOpQ2bYth4ULl4Mg6ueQKcKbt+ygoLBIXmXM76NZn898Xg/dfwXDhg4kv6AoarYCM/nFwaOPvU1BYbEVDl3lY3Kv3hdTqtfY0LOp0eyDsKS5bqWg3mC9XSXPXDb7+/iTH5g5608S/FULJDQEQghC4TBJiX5efO5WMjPT7GIRTQEZ9PPv4pWsXr0Rlys22XYgQ1i9LFu+jpWrN+C1KqFGE1LV3bp1J38tWGZttaJ6ihoh9+V+n5dnnrqB1tmtCARCUVmwdd3A53Pz18JlvPzKp/bevRpITt1gzWm9JaSyNjvRMaW5AZxIeZHHSiQ3/b35BcU8+fT7KFHcNwshKCkp485bL2TAAb131ZQv6pAGwDffmhxz06hZZUbji8nT2bkzD0cN1WkaC0M3cDpV3nx7sm1obCqyy2Sbvbp14OH7r7RV92goZ2Z4rJuXX/2MzZt3WA0iqpBd5q13B06y5naz86xZBxAhzT3A+dSwNweT6O+89xV/LViC3+eNijR3OFTyC4o44djDufCCY223XVMhHDYz0r7+5he+/nYmfp83ZqmfhmHGqefmFfLhx1OsuuaxsRMZGHi9Hn7+5Q8++WyqnYXWVJBut+OPHckF506koKAIRWm8cNB1A4/Hxeq1G3np1U9r0xTkPD7fKmLa7FK9WU8eEep6BPA15s2pEs8OkF9QxLDDzmPFyvW43a5GE0IIQTAYIjs7g5++f4k2bTJrK+gfdYTDOg6Hwuo1Gxkz9jI2bNyK2+PCaMbWw9GEEIJQKER6eipfffEUvXt1abLwYSifN4WFJYwYdQGLl6zC6/U0enEzrytMenoy0394hfbtszGMag23UjMdK4T4urlDY5tbpZB3/Qpq7Hhq7c3/+z3/Ll6F1+uOjtQTpqX7njsvok2bzCbblxuGYQXgKKxZu4kTT72Rtes2m9e1h5AczOt0u11s3bqTE0+9kUWLVtj97Zqi/ZUMfEpK8nP/PZfahSwau1+X17V+/RbefMfcmtQyHQVwufV7s7rZmo3o1gpnGIYxEBhGtaGuZhhiYWExr73xBU6nIzpWdlWloKCI4yeO5NgJh1n+8tiS3LAaKJjFEFW++/5Xxoy9jIV/ryAhwVsnF5fcz9f0krnn5qv6OnKqar1qrN1efozazlUXvmiajt/vYeWqDYydcCWffj7NPoemxZ7wsv7byMMO5MLzj6W0tCxKhjkdv9/Lex98y7btOTXVJJShscMMwzjQmuvNlijREvzoJwMuzDrZFcYjywBP+upnFixcRmKiPyqqVzAYpHVWBrfdfH5EvnGs88rNaqdbtu7giafe4/U3vyAU0khJTkDT9EoqrbAkhRFRiDHy97r8zUwrNQwDrL8ZGBUsIHaeucBOezX/L8wsIpvQosIiI79raqvlxDet3hB5EsOApEQ/eXmFnHvBXfz40+9ce/XpdO7UNkZ3uiLkfZw4/jBeeOmTqAXRuFxOVq/exDvvfc01V55mzdUKc0hgzmkncBLwW6NP3Ag0C9GtIALNMIw0YKL1dpXVTijmfuidd7+ssxTZFRRhRm7dfusFdO3aLubRb3JirVmzidfe+II33p7MprXrUb0+FCEoLCy287zlT4uhCCl9VTN2XHWo5u+KgtPpsDuzmBJaNf+uCBwOh52y6pDfVa3vqsJeFMzkEw1NN8xUVc30g4c1Db3ST7MwhVknXtd1QuEwWtj0nYet7xqabqkd2IuF/KlYnoznn3mHj/77PaeeNIYLzj+WXj07x+zey9upKIKvp8xsUL/42o7rdKp8/N/vOf+cCSQk+KvLBpQa8wTDMO4WQuxsrgCa5pLossDekZjleKoEFkgC/jJ7AXN+/xu/r/GGFEVRKC4pY/9+vbjg3In21iDWEELw04x5LFuxlgnjR5Dg96AoKi6XA6fDgdvjMpNXnA5cbicOhwO3y2kniDgdDlSHWYbZoVqJI04HDlXB6XSiWu85nSbBIz9nvmf9dKh2YUVJ9HA4TDisEwqH0MImgcMhjbCmEQ6FzZ+RnwuFCGsmucMhk+DBUAhN063MtxChsEagLGhm3oXCBAMhwuEwZYEQuq5TUlLKlq07+fqbn+nZo1PMApMiC2pOnzE3qvkKUn1f8Pdyvp86m4njD7ODhSIQWXLqSOBtyud+k6K5iC73K2dSg0tNEvDdD76hpKSMlJSkqLhodF3nmqtOx+/31tZcL2qQk/jsM8dx9pnjYnquukAKs8jstT0Vcks0f8FS/v13lRWWG11hKoC33/2KieMPq0kzlPP7TMMw3qUpwgSrQZM/5QiX2r7AQOvtKi41IQRr121mypRZVuvfxpFcVVUKCosYMXQgxxw91A7CiTUMq0Z55J7b+ksVw2LkJDQs02S1I7T21NW/b/1S+U81XGr1815uI2r4S7Xvm/9UOI+oOEq535eQYaSxaqwovSjTZ8wjL6+Q9PSUqPrzNU3H63Xz6+wFLFi4jH332as6F62c2/2BvYUQC5vD1dacy/lhmMn6VYxwciX+7Isf2b4jNypGOF3XcagOLr/0JNvNI0TTqO2xtujHUT1k55dvvv0ZbxS2ftXB4XCQl1fAx598x7777IXZ/aaCZJdGuUTMOb8w6oOoA5qc6BEr2QTrZxVprqoqgWCIKd/Nsr7TuHOqqkJhQQkjRgxk5GEHNtneHMy+ZkuXrm3SsNrdCZqm06VzW1JSEolm3rqUrPP/WsKSJWtwOWMU7msYOJ0Opv34O9dcVUBaalJtRrmJwOPNETjTpESPyDnvQw1qu3RTLFiwlN9+/4eEhMY1KpBWVsWhcOH5x9qx0LHOM5f7/0mTp3P6WbeRmpqIFsXClXsCVFUhr6CI++66hOuvPTOqkYnm/Vf5+ptfKCouJdlyY0YbsqlHQoIfj8dV48esnwMNw+gjhFjU1LnqTS3RpRVygnXuKhVk5EI4+asZlJaU4k5JRNMavhILISguLmHggL0ZMWxQk0pzgFWrN6I6VNPvHFfhK0IIHKrKuvWbLVtBdO6PzKDTNI1ffp1PIBAkGAxFvXMPlDfaHD6sPz6vp7YwXw1zzk8AFlHOhSZBkxHdCuqXfaqG1PQ5RVEIhzSmTp2Dy9X4go9CmL29TzvlKLtKaFOo0VJ1W7FifdR7he0pkEE2q1ZviqrrKzLcdfBB+7Fs6RoSY1C1BwAD2rbJ4KgxQwHqIkQOsTigNaVPvSklumyW2BnTAglVfOcmCefM/ZtVazY0muhCCAKBEN26tGf8McPNEzZR0ooQgrJAkH8WLY/oetokp652LPKnvXe0IuUiI+qaGqY9xmwusXNnPunpyRVq6DUGZudVs43TZZecGLO4RwMzCCstLdk6b41nirS+dxRCrLZczE2yX28Oq/v+QCo1NGUAmP7zH+zYmU9Gq5RGqVuqqpCbV8rYo/5DWmpSk/jNoXzBmj9/CevWb8XldjYJySNj0aG8eoyMdguHwvb9jKzYGhnnLpNBZBhtLGEY4HK52LxlB7PnLOSoMUMsj0vjn5FcLFRVoVV6SqOPFwUIzDmfBvQDVjflyZuS6HLWjKEaT6xc3QOBID//PA9PI/ua22mSaUlMsKR5Uwuu76fOJifHlFTR3h/a4aV2LLpA0zTKygIEAkEMwOtx4/G4SUhw065tJt26daBrl3aAYPXqDaxavZH167dQXFJq9mgrDZjZWR4XHrcroiFGbCS/9LDk55fww9TZHDVmiO1bj6Yq3xQaSz3jAI4APqMJg2eabPNo7dEdwL9ANyqFvUqXxKrVGxh0yOnomr6rFMBaoSiC4pIyDj5wX6ZOeTHqk6cmyElVVFTCkOFns3LlRtzuaDaXKM/+kgYmM95cIzU1ka5dO9CxfWu6dG1Hn15d6NWzC106tyUhwVclCi4c1igtLWPV6k0sXrKKxYtXsWLlelav2cjyFevJtUppK6qC0+GwQ2yjmWpqlofWSEtL4tcZb5KVlW6/vwdCzvnlQG9A26P26BFutd5AG+vtKimpQgh+m/M3RUWlJPg9jZToZmvdY8YNs47fNAEy0qr/+aSfWLJkDUmNNALJvaZhmPH/RcUllJUFSUr0kZmRSoeO2fTfvw8D+vehZ4+OtMnOJD09udpj6bphFonEQLUSYhIT/ey7T3f23ae7/bmcnAI2btrGypXrmfP73/z620LWrd/Mjh15FBeX4vN58HjcdqKRjP5rCKQfesPGbbz34bdWJljj88ZbKORFtQF6W1FyTeJmayrVXboS9sfspVYlL1QKvOkz5qFrmvWgGzZ5hIBwOExGq1QOGz6wwvFjCSm1CwqKee6FjyzVt/7HMaPpTMlZWlpGKGR2H0lJTuCgQfuw/wG96bfvXgzo34f27VpX+b7cl0fC3IuLKiWVzOw13U6eVhWVtLQk0tKS6Lt3N3uhXLV6A3Pn/cu8P/7l11//YtHilQSsJBWX24nX6q8u9/f1gVnMwclrr3/O6accRatWKU1mT2kG6IAfkwsLaSI3W1MRXV5Iv4j/2+eW+/Pi4lL+/mcFitq4Ms6KolBQUMiQQ/rRrWsHO4sp1jB7tau8/+E3zF+wlJQ6tnAWwnLLGGbVm2AwRElJGV6vh25dO9C3bzdGjTyIQwb3o012Bi6X0/6ulKayX7tMaa2OJLm5BezcmUdZIEhqahJpacl4Pe4qwUO6bti90mWxii6d29GlcztOOO5wCguLWb1mEz/+NJeff5nH4qVrWL16I5qu4/N67BRac2y7nsOGYeD1eFi+Yj0vvvIJt918XpNUoWkGyHBYBZMLb9JE+/SYE93yFepWkTxJ9Gqj4ZavWMf6DVvwRKkm3KCB++BwqE1Sq8y8BpW1azfzyGNvW6WUa57kkcUaNE23m/glJvro1bM7I4YPYvDB+7F/v55ktEqt8N1wOGzZHIQt/SNjAzRNY/uOXP5dvJolS1azdOka1m3YytatO9i0aTvFpWVkZaaR3boVrbMz6Nq5Lb16dqFP7y5069Iej9eNopRPDZnSKrdXiYl+9unbnX36dufKy09m3bot/Dl/Md9P/Y1pP81h8+YdlJSW4fW4rdJf5cUwaoKmaSQk+Hj+xf8ybuxQ9unbfU+V6nIi7m8YhlsIEWgKf3rMxZy8CMMwsjEbxidRKahZEvHTz6Zy4qk3kpqW1KhwUTkhv/3yWQYO2DvmE8YwQNfN7caZ59zBBx9PIbWGtFpJzFBIsyO2kpMTGNC/D4cOOYAjxxxCzx6dKxjOTOlKBQkbidy8ApYtW8fyFev4a8FS5v3xLytWrqOkpMzqZx608tSduFwOu0toyOqYqigKPq/Zcz0zM439+/XkgH696d2rK3vt1YGOHbIrXa9BKBS2qsxUHE9+fiE/zZjH91NnM3v2QhYvWQWYKbEetwuh1FwRVpb4GjF8EJ//93EcDqWi73/PgJz7BUAPIcSWPYXo0hB3IDCbajIXZIzznXe/yD0PvEJ6WsPTCWWpqC6d2zFn1jtWxdjYWtyl3/z9D7/l3Avuxp/gQY8I25X13AzDIBAIUVRcSmpKAr17d+WYscM4bMQg9u7TrYpUNgtWmkSKnOwFBUWsWr2Rn2bMY9avf7FmzUY2bNzGtu25qIqC2+3E4XRE1IUTVaRqZGmoSPU/HNYIhkIEAiES/F7at29Nu7ZZDOjfm5EjDqR37y5kZqRVuH5p+Zc+eYmtW3eyYOEyvpj8E9N//oO16zYTDIZITPDb12oYeoVtmqoq5BcU8+iDV3HZJSfu1j3pa4HkwCAhxO9NYZBrSqKfB7xMDe2WDMNg3MSrmDptjl0UoiEw/bKFnHnG0bz03K0xJ7nUFhYsXMaYoy+juLjEbowgpbeUqoqi0KNHR0YfPpjDRgxixNABFQYXDmtWSUEDh6PirmrJ0jXM/m0h8/9awu9z/+HfJasIBcM2wdxul1080yRPwyLxIgtNappOIBgiaI1dUQTt2mYxaODeHHTgvhw4aB/67dejwvdD4bCVly4qbJfy8oqY8v1MvvzqZ6ZN/53c3AJURcHn89p1++Q9k1b3z//7OP8Zsv+eSHZpjD5fCPHqnkJ0WWjiGeBSKkXESSIWF5ex34Dj2bYt15qwDdNkHA6V7dtzefWlOzj7zHExnSRyQubkFHDkuMtY+M9yEhN8yIqvgUCI0rIA7dpmMvjg/Tjp+NEcMng/UlOT7GOY1VDNUtOR4ywtC/Dv4lVMnz6Pb6bMYvmKtWzbnksoGMLn8+B2uyLcW7veAzcEFaV++V69uLgUISAjI5Uundoy+vDBjBx5IH36dMXv89rfl/v6ysbBVas28NmkH/nyq5+Zv2AJpSVl+P2mn19a/8vKAnTs0Jpvv3qe9u2y9rT9uhR2TwshrmiKQhRNKdGnAcOpRHSpti9espqhI861mic2bFhSGjgcKpM/f4oDB/aNWRKLlJhCwJln385Hn3xHWloKxcWllJSU4fd72LtPN46bOJLDRx5UoQiiGSVnIETF/W0gGOT33xcx5ftfbeldVFSCy+XA4XTgcjrtNkCNsUqbx2io61JYhDMIhsKEgmadOK/Xw3779eCQg/bjiNGDGThgb9s7IK3vum5mlcnnGwqFmfHLH3z+xY98M2UmW7bsBCAhwYfDoZKbW8Coww/m4/cfso+1h+zXJQd+FEKM2O2JHmGI8wHzgF5UIbq5Uk/+agann3Vbo0gpCwF269aB7795nsyMtJh1X5ELyG13PM9Dj72J1+OmpKSMDh2yOPywgzl2wmH8Z8j+tlHN9Gube+FIQ5thGMz+bSE//vQ7k76czoqV6ykuLkVVVfx+r723j1YIqmEYBIIh3C5no0kT6TnQdYPi4lLCmkaC30f3bu0Zd/QwDhs+iEED965wfrMVVUUNZvOWHXzy6Q98+sWP/D73H3TNLL5YUlLGOWcdw7NP3bgnSXXJgX+B/kKI0lgb5GJNdCnNOwOzgGwq7dGlxf3xJ9/h5tuebVTZKFVVyM8v4rARg/h60jMxmxhy8Xjk8be4/ppHSEpPpVevzpx03CjGjh1Kl87lNcurU18Nw2DZ8rVM/nIGU77/lQULl5GbV4Df57XDTIGop1Xquo7P5+GkE47gk8+nkpdbiMOhRk3ljxx3MBiipLSMVukp9Nu3J0cdOYSjjvwPnTq2sT+vaTqaruNQVXsxLi0NMHPWfN5650um/zyP7dtzCQZD3H7r+dx1+0XVVW/ZHSE5sAkYLIRYE+t9eqz96PKJZGJm7US+VwErV28kGApbamXjztizh6kmxyKZQRZ6vP+h17jvgVc55fSjOXbCSMYccYitXkqCygIIEjk5+Xz9zS9M+moGM37+g8LCYoQQeL0eWqWnmLXRrf19LCDdc4MP3o8fps5m5448nM6GRe9Vh8hxu90ufD4PoVCY6b/MY/rP83jgodcZMWIQY488lCOPOASfz2N3OZFJP16vm5GHHcjIww5k0b8r+fTzaXz2xY/cfecLhEMa995z6Z5Adjn4NExurCHGQrcpie6mUuirYZRLge3bc1CVxkXEGQaoisJe3TtaZ4/uvZMRdmvXbiIvr5CZ09+sYHXWdB3dUuml9A6HNf6cv5hPP5/Gl1//zOrVG80+5Qk+EhP99nFjUf2kMmQCicfjwu+XJboaHmpcG8pVdIXEBPM6S8sCfPDRFD77fBpdu7TjiNGHcPIJo9lnn73sBTFSA+rTuyt9enflsotP5LsfZvPm25OZO28RA/v32RPUeB3wYHIDdnOiS0h9TcNsUWPBXJlLy4Lk5BTgcFTbw6rOMFd6hb32Moke7TsnpUiHDtk8/MCV9vuyA4gQ2PvvHTvy+PiT75n81Qxm/7aQ0tIyK2XUZ1a9saztTQszlTU1Jcnq96bF3Bpb0XcvSE0x6wKsWr2Rx598h9ff/IL/DDmACccM5+ixQ0nwm1Z76dMHSE1N4sTjR3HCcYeTk1tgHWu3JnlkKGybXXw2Kog10SVrZWhVlUQWIaAgv5CdOflVfMf1PpmVHNG5Y7UJclGDtO5LI1mkev773H/45LOpfD7pJ9Zv2AqGQUKCD7c70Q5KaS7IBSY5OYHERJ85libWgGUglNvtskt7Tf5yOt9OmcVDj77FicePYszowey7z15IgR2ytnSqqpJuVXLZvTV3oPzOS27ENDKuqYiebv0UVf8syC8oJicnv8GGIRngEQ5rZGWl40/wWu83eNw1QgakALbVOL+giO9/mM37H3zLr78tYOfOfBISvCRGSO/GFLiMJqTdoFV62q4/HONxaJqp0aVYUn716g3cevuzPPv8h4wccSBnnjGWgwbtg9ttVleVngtFUfckossHsfsSPcKKmFrd3+WVFReXkJdXaAbK7PqYFQI5wFzxw2EzMaRrl/Z4ve7oXEC15y9XGzdt2s4HH0/hg4+m8M+ilWAY+Hwe0tOTm0k1rxt0XSczKw2hiKgZ4hoKk/CmlHe5nHi9boqLS/ng4yl8+vlUDjpwHyaOH8H4ccPJzEyzvyOTevYA7P5Ej0D1Et26NFnGyO122tU7y18RBRMM2RjQbPong2vSUpPJzm5F924dGD1qcIXorGhCbjUW/r2MN96azFdf/8LadZtwuZy29Nb1pjGsNRwmuVtnplXf1qkZIZ+vw6GSnOjHwOCXmfOZ/vMfPPn0+0wYP5xTThpD715dmnuo0UAFiR7rpJamSFNVKCd6tSgqLgEBquoAwoRCGqFQiGAwjKZpuFxO3G4XLreTtDQ/XTq1pUuXdnTr1p5OHdvQJjuDNm0yaNsms0IwSjRXfGnlvf6mp3jkodcASExNIj09xS700JwVVesKWREmKzPdjnBraTAMA81yoSUl+VGEwuatO7j/gdd49PG3OfKIITzy0FV07dIuZgFRTYj0poh1jxnRIyJ9VMy+UzVi+/ZcQsXF5AoFw9DJzEwju3V72rTJpGOH1nTt0p6uXdrRtWt72rfLwut11+haiZXbRR5z8MH7Er76DBYvXcVfC5axY0eu1Y/caoNsxek3pNJKU8EwDFN1b0RNvlghsrqOWYDD7M2uKAr9+vVk7z5d6dmjMz6fp7mHGi0kYXJEj2V0XFOo7goge9VUWHrlSty2bRY33HwB/fbrSYf2WaSlpZCelkyrVik1HjSSTJH79lj7VseNHcq4sUMpCwRZuXI98/9ayrQf5/DHn/+yZetOduzIw+FQ8fk8ljVe2ONtKcQ3DIPWWenQAlxUssS01IaCgSDFJWV4vW4yM9Pp3q0dw4YO5OAD96V7tw5kZ7eq8v3dFHLgLqrJ5ozVyaKOiDh3D2bVy3Y0oIue3O9G7tnl/5sDkckZkSgpLWPu3EX8Pm8R8+YtYs7v/7Bt+04zeUSYpZedTmedyyvFAjLgZ/rU18jKSqNHn/HWAtm0kl0Igaoo6IZBWVmAYNAsfuF0OtirewcOGdyPAwf25aCD9q1S9ELe/8o5+rshJBfWA91jXWmmKSS6oFyiV4vIsM9dSWg5IZtPOpbnakcWcfB5PRz6nwM49D8HoOs6W7bs5K+FS/jm21n8tWApq9dsYtPm7bhcDhL8vmYauzl+Tddxu1ykpSXZW4+m2qubhUFCFBYW43a76Nghm969u/CfQw5g6NAD6NihDWmV0njN+2zYi71iRVC2FA2pNsh5XAuaRKI3tepeLSoXKdg9UPPDUxSFNm1MA+GY0WabuSVLVjNv/mJ++GE2U77/1S7F1BzQdR2v1016WjJbt+7E6WwaiS6E2VSjd++uTBw/nP379aJvn26226w6/B+0m3azhxAdami9FNnD+p33vsbna1wt95aD8rRSAwOHquL1unG5XKSmJqOqKsFg2E5BbfLRWamyaWmyg0xs4t0rwyzDrZOSnIAQgrnzFjFz1nxKSwP232XXmd0diiIoKwswfOhAxhxxSG2JOE0i4ZqC6AYQqvYPhrlNWbZsLU88+iruhOoLKu7uMAzQrdpoToeDhARvs5EcsG0EaWnJZrx7E/FK1w28XjczZ83n+x9m2w0KhdLSPPqNh6qqBIrMyr67IHqIJlhlm4LoOhCs7QMJiT7cCUmkpibvMUSPjN6rmHYauzTUuo5Lak1paUlmgFIT0swwDDweN76IoKby5o46GC3Rs189hP0PCCKMxcK8ozswqrTBqgYB9qAGDrUS3elwENY0q/Lp7k10uWprmlnOWTcMEvy+FmQ4ErZET09LQdf0Js8QiQx7VRRBcXGQYCiEx+22S021nPtlonLotWEYaHp5iSxNMyM2Q+EwWlgjKSmBlJREu51yLQiwB0n0alV3CZfLGdVLlWRr6skihFkFNRzSSEryM+zQASQm+vj082l4ve4WZ39IT0tGcSh2kk5TQ1UUiktKGThgb7p17cBPM35n+/Y8NE3H42l8E4/6Qs4bESGq5e/mwh2y6+GrqoLH48btcuLzuWiTnUm3bu3p2rkdXbq0o127TLKzM2z3YC3xHXuU6l5q/V6tH93jcaFGKRxTNhdQVdXuNwblPcFiNXmEgFBIo337LG664WwOOagfHTq0priklLXrtjDn94UkJjau4WK00aqV2ZKpOaSnEIJgKExKShLPP3szvXp0ZmdOPnPn/csrr33KlO9m4fM1vOz3rs8fGZsh7Dh7M9NQs/MrdMPA0A1SUhLp2qU9bbJbkd0mg47ts01id2lP1y5tSUpKxOWqF50kF0rZnVX3CMe/BuRU/yHzh9fnxZ/gtRNaGjrxDMPA5XKSlpZMcXEJ+fnFlJaUoTrKu5Q4nQ5r5S4Pvon0yTZm0iuKQmFhCfvv14uOHbMJh81CiY8/eg1HHHWJnVfd3FqplFzpaSl4PG67UURTEl5apR97+Cp69ehMOKyRnpbM6MMP4pnnPiAasVyR6jZIF6LpEdF0nVAwaHercTmdJCX5SUlJJCnRT1ZWK7p1bUfPvTrTs1cnslu3Ij09hVbpKbXuu+UCUXkhqQW5mByJaWJLzCW6FR0niV7hQuTl+7xuEhP9FBQUo6oNL/UcCoXo3Lkt77xxL/kFRaxatYENG7aybv0W1q3fwuo1G9mwYRuhUCiihTA4HSoOq/+3mRMfGbJat0YIhmFWl9myZQcXXnwvX016Gp/PSzissf9+Pbn5xnO57obHSU1NJNyIdlPRgJx3aWnJeDwuiotLa/9ClKGqZinnE44fxTlnja9g+b/rnpeY8t0s0tPr160nMnJSCotQyMpyDIXtenmm4c/sTNu5d1fatc+ia+d2dO7Ulk6d2tCpYxs6dsiuNa5DtsiquJCYv1fXsbYGyFmVE+vMNYgx0SNC+qqX6BbVfR43iQk+cnNlOamGnU9VVbZtyyEjI5Xevbpw0KB97L+FQmEKCorZuTOPFSvXsXzFepYsW8O6dWbf7505+WzfkcvOnCJUVcXpMEnvcKhW++NdD0rTNFKSE/l1zkIef+o97rj1fKtdkcFlF5/Ir7P/4rMvfqyxL1uTQUr09BQ8HheFhcVN1glFVRVKSsro2aMTD9x7mb2gOhwOfpn5J089+z7JyQnoet3uj7TWmzUJyontdDpolZ5KWloGGRmpdOiQTY+9OtK9Wwf26t6RjIxUkhL9JCRUH6VY3ummvH6/JHOU79VO63wxLffcFMUhI4leUaLbqrsHvyxt1MDgDbOgoEpefhE7d+aTnpZMOKxbK6wZR52enkx6erJdU06ioKCYLVt2sGHTNtav38KKlevt16ZN2ykqKqlz9xhN00hK9PPkU+8y7ND+/GfI/oTDYRwOB08/fj3Llq9j+fK1eL2eZot5l/e9VXoKbrepujudtX8nOucVhMIaXo+L55+9mfbtsgiHzU46uXmFXHP94wQCwTrvzSXJFUWhQ/sMO8OxW9f2tGubRZs2GbRunU67tlm1HqeihBa2uy/SKBcDyMmUKy+HGBrlmqoK7A7rZ7UXkpjoJz0lySqy2LgTGrrOho1b6dmjEw5HubWzfA9uDkNyVghISvKTlOSvsgAEgiHy8ws557y7mPrjHBITfbs0phmY5wwEglxz/WN89/XzdgRaVlY6Lz13C2PHX0EwGKqzphBtSL95YqIPv99rBXPEPgxWCCgtCfDCszcxZHA/+3kLIbjj7heYv2ApqSmJdTJYmlu1MGlpyXz0/kPss3d3XC5njdlspgYlKkhmiWbq6ybvtuRGTH2csY6xlYPfWOn/5n+sFdnpdJCRkdqodkyRx1uxYj1QcVWJXK1lh1JZlllmlElfqHSDuV1OMjPSuP++y0hNTapzfLqu6/h9Xv5asIzrb3oS2XQwHNYYOGBvnnr8eoJB06vS3OGemRlp6Ea9kwrrDYdDJS+/kMsvOZGzzhhn78tVVeWDj6bw6mufk5KcUGevhKIISssCXHvVaQzs3wePx2VHG8rnaJbzMqyy4qr9vMsldrOG29bKjWijqTIGtmLyTqWSVJcqWlZWq6rfqieEVYhx+fK15ht1FFEyI6qySw7M2Oy+fbpx2SUnUlRcWud897CmkZKSyDvvf8Nrb3xeoYvJiceP4uYbzyG/oKTZ86mzstJiLskdDpW8vEJGjxzMnbdfYJUFM8m3ZOkabrj5KbsTbF2gqgoFBcUMO7Q/Z595jOUOM+eRWbhC2lYkqWN4cQ1DJBe2NsUJY010+ei2AYVUs2rJFbV9u0xcLmejg0oMA5ZbEj0aq7Wqmn3FLrvkRAb270NxPchuGAY+r5vb7n6BvxYutS25uq5z843ncurJY8i12iI1F7Iy0mK6fVBVlaKiEvbq3pEXn7sFn89rN+7Izy/ivAvvZseOPNxuZ53HoWlmA4x77rwYr9fdJAVHYgABFGByA2IcNBPruyP1sK2UGx0qGeRMMnZo3xq3y9koA5XpR3ewcdM2cnMLrL7bjbt/0lWT4Pdx1x0X4XCqdrvkuozH6XSQl1fIhRffy/btueXJLAY8+ei1jBg+kLy85iN7ZlY6htVmKtpQVYWyQIDU1CRef+VO2rbNrFBI5Lobn+C3OX/XyfZRfkyVgoJiLjr/OAYO2NuOAdjNEGmIkxI9ppbZmN8hwzDM+P4aLO9SyPfs0RmXq3Fhj6Yv28nmLdtZtXpD9adrAFRVQdN0Dhs+iNNPOcpyR9Xt1mmaTqLfx59/LeHaG56ws5h03SA5OYE3X72L/ffrSX5+cbOQPSszDSMGwsQ0lmk4HQ5effEOBvTvYwdEqarCM899yFvvfGnFFdTNlaaqCsXFpey7T3euvOLkOi+4LRCRRN9hcSSmiCnRLb+gIoQIYzaSq+4zgNnmKN2yTjf04UmJvm1bLitXmup7tOLLpSS+6fqz6dqlPaWlZXXeX4c1jZTkJD74aAqPPvG2JYHMyrGtW7fivbfvp1vX9hQVlTS5BTgr05To0bQFldfbD/Hko9cxetTBltXbLAE1ddpv3H7X8yQk+Or1fKQ/+87bLyI9LQXD2K1rxgGsEmZfdCXWQTNNqfMstH5WsrybPz0eFz16dIqKi00ImPvnYqDWZIJ6HtOUwm3aZHDzjecQCsmCDXWDruskJvq4+95X+GLydJvQmqbTpUs7PnjnfjIz0ygpKWvSqiopKQl4fR47bLOxkJbswqIS7rr9Ik479Uhb8qqqyspVG7jo0gfqHXZrxkgUcuIJozlqzBB0Xd+dq8/IO/13U52wKe6UfJL/1PgBS53t2aMjwVCoUeqYrut4PG5mz15gTaborfiyDPEpJ4/hyDFDrJDduklgGYKpqgpXXvMIf/+z3J6ouq7Tt2933n79XpKS/AQCoSbbd/r9PlKSpe+68fdKUQT5+YXccuPZXHPVaXYEoBCCkpJSzr/oHtZv2ILH466zPUYIQSAQpGP71tx607nWjNqtJbmEJHrMgymackmURK9yTmmI6bt3d8sw1BiiGzicDlasXM/atZvs96IJRQjuuO0C0tOTCdVjYdJ1HbfbxdatO7nwkvvIyS2wq5lqmsaQQ/rx6ou343Q6rASY2D+ehEQfKSmJUak0o6oKubkFXHXladx+ywV21JqMOrv62sf4+Zc/SE7y1ysEWCbA3HTDOXTq2AZNj+4C3gyQD/bfpj5hLCFZthVYV+k9oHxP16tHZ7Ky0gkGGxc441DNLLIfp88Fokt0RTENc337dOPyS0+iqKju7jawQmST/Mydt4grr3nYDtBRFIVwWGPMEYfw/DM32YEfSoyNTYl+HynJCRG14xoGVVXJyS3gwvOP5aH7LrdVclma+elnP+CNtyeTmppEuB6putJnPnLkQZx2ypF7AsnlZFxHucV9z5DollUxH5hvvVXhScsH1717B9q3yyIQCDaK6IowQ1B/mTXfMtg0+FDVQlVNw9xll5zEgYP6UlxcUi+yh8NmMM2HH3/Ho4+/ZW8JHA4VTdM5/tjDeeLRawgGw+gxjJ4zDAO/32up7g2X6A6HSk5OPqedfCRPPHpdhX23aXybw+13vYDfXz/jm7CKSSYm+rn79gtxuZyYlZp2a6LLuf8nkN8UFndoig4RVlsmq7eUJHoVia5p5gPt1rU94UaqkZpudjX9449/2bp1p+VPj6ab0jTM+X0ebr/1ggbFrOu6QWJCAvc+8KptnNM03XblnX3mMdx/9yV2CmksJrc8X0pKgu36qi8kySeMH8FzT99kuwilTcI0vt1nLWT1y3lXFJXCwiIuufA49u/XK2bttpoY8gbMtzihNkWaalPdNfviMFe0GjsGHDioL6rS8FRVAMMwSxEtW7GOufP+iUg5jB4kIUeOGMQpJ40hP7+oXq4x2TVFVVWuuPph/lm0wpbs5rE1Lr/sZG6/+XwKCopioq7KxS8lNalBC6HMOht1+MG8+uLtVrlu6ziW5f38C+9hw8ZtdoGLukJRFEpKStmnb3cuv/Rk9EbabloIDMy5r2NKdPlezNFURJdP+A/KI+QqQD7EoYcOwO12NVoCG4ZpNPvsix/tZJZoQx7z5hvPoVOnbAKBQL3OYxrnnGzblsOFF9/Lzp35dmKOqqpous7NN57DtVefQV5eYfTdSdY9z2iVahXcqPucU1WVgsJiDj5wH9567R6Skvw2GXXDQBGCG256kp9n/mmV0Kp//r1hGNx+6wWkpSXXVi55d0Qu5URvklzlJiG6VWVGCCE2Aiust6vNTe/WtR179+lquZga/mBlWamZv/7Flq07G1WiqiZIa3n7dllcf82ZlAWC9S6dLLcsv89bxLU3Pl7hb4o15vvvuZRzzhpPTk5BVANq5EgzM1LrmVRixq/36dWVt1+/h/T0ZNuVqes6qqLwzPMf8tobX9gW/fpAVRXyC4o4duJIxo0daqnsewTJ5R1eJoTYFOtiE5Foyg2PfFLfWj+r7NPNVkEeDj5wX0pKyxq1HzMMA7fbzfr1W/jyq58BorxPN6GqZuz7GaeNZdihAygsqnt4rISmaaSkJPHe+9/w0CNvWJZ9zVqczGt58vHrGD9ueFTj4uXimpGRhsPhqFM1WEVRKC0rIzs7g7dfv5sOHbIr2BZUVTWNb3e+QEKCt94VZmWeeWZGGjffcHaF9xsC2ddPs3rYx+RlZePVZTjWzynyshp0UQ1AcxD9x0r/tyEtsgceuA9+n6fRFVOFdV+/mPxTzP3SLpeTW248196L1ndi6rpOUpKf+x58jS+/mmEZ5zRbkrldTl549mYOHLR3vQJ1aod5bFOiq7ucrIpi1uVL8Pl454176NOnK5qmVbAtrFmziYsvf4BwOISi7PqYlaGqCkVFJVx84XH02KtTow1wMrZejahBEPWXotTVeCyryPwU8f8mQVM1cIDy1exfTPW9G+b+xH6KUhIeOuQA2rdrzYaNW3G56p6+WBmabqYzzvx1Pn8tWMqA/n3sfm/RhPStDzmkHyefcASvvP4ZKfWsCyet1EIIrrzmEXr27Ez3bh3s8WqaTqtWKbz64h0cdczlbN66A4+77tFl1aGyRA8EQzX67aV2EQ5rPP3kDRx80L4WyeXe3gxqufDS+1i3bjPJtm++7lAUmbTSgwvPPzaitFj9Ie/bihXrmDP3n3ptTeoDs96dypFjhuD1uGsdEuZcXw4skl+P/oiqR5MRXQihG4ahCiF2GoYxl2qILuPJ09OTGTK4H2+9+yVud+My2hRFUFYa4LU3vmBA/z40oEV7nSAl+I3Xn8W33/1KTl4+ToejXkQ0w3ddbNi8nUsuf4AvPnnCamRQbuXfa6+OvPT8bUw84RpL4jeiTLM0xllELysLImpwgSmKQl5eAbfdcj7HTTyMsKbhUFWrr5yBqijcdc9LTPvpd9JSk+pNcmkw1XWd6689k7TUZGsrUP9nJUtjhcMaN976DJ9+9A3uxAS0WFTfFaBrOpM/f4ojjzjE3sZUAznX5wohciwuNFmF0CZ3SloBAt9Z/62if0pX2LhxwyKqbzYcsrHfN1NmsWz5OtsWEG1Iqdu+fWuuufpU8nMLCIXCdouhukLTdFKSEvhpxjzuue+VCjn10u02bGh/Hr7/CkpLGxdYJL/p93lITvLXeF9UVSEvv5Djjh3JLTeeYxncyotoqIrCZ19M4+nnPiQ5qf6S3CSGwbYtOxh1+GCOm3CYHS3YGKiqgiIEnsQEUlOSSE1NjPqrVbrpsfhmysxdDsf6+V1TBclEoqmJrltWxq8wXQxVKl/K6psDDuhNjx4dKS0NNNoo53K52LR5G+9/+E1MXTRSIp179gSee+ZmMlqlkJNTYKu4dT13OKyRnJTAM89/wKSvZtgEN89hhsqee84Ezj5zHPn5hY3erzudKpmZadVmsCmKQklxGX37dOOpx6+3noX5jOS+fPmKdVx3wxOo9VjUhBDW3laQX1CMYcAll5zEKy/eZnZXFQ1f5E1viOmOG3X4wbaBLxaGuHA4hNPp4Pff/yEnJ9+yV1TRiKQamQN8bXGgSUsANynRI9xsOym3vlcJh9U0nYyMVIYPHdjocFgwrdoJfi/vvPs1GzdtQ4jGV56pDrKkkdvl5OILj2fady9z7dWn4/N5yMurn4QXwiTZdTc+wbr1W+29sBACRVVst9v++/eiqKh+IbiVoaoqmRlpVTLYZMSi2+Pi6Seup1V6iu3qkup9KBTmuhufNINi6hD/IITA4VDRdYP8wmKCwRDjxh7KpE+f4NmnbqRVeor9ucZAqvyjDz+43s0g6gMhzIU3IyPVKuFdrb9f3pRvra1rk7nVJJojnlC1VJfJ1GCMkPfppOMPJyHBF5WH5HI5Wb9hC6+8+hlCxL4Bo6bpdOjQmgfuvYyffniVyy45iYxWKezcmUcgGLTzs2syDOq6gdfjZs3qTVx34xMRFU3NYBRZoeaRB6+yGjg2LJ9c3odWGSlVjqEogqLiEi675CQGH7yfbROQ41MUhaefe5+vv/nFjpevDpHXGg6H2bnTlHzjjx7GF588wcfvP8whg/tZRSOj81wk2dq2zeSgA/eltCwYE6+LjHCccMwwvF43hlHjczCAydbcb/JSQs1BdKm+zwA2YV50JaluDmvgwL70P6B3o9V3MB+I1+vh7Xe/Yu26zbaaHSuoankZ6b26d+Cxh6/m+29e4IF7L6dXj84EAkFycvMpCwSrlCGWMCvJJjBp8k988PF39jHl8XVdZ8jgfpxx+lizvFUD7pE8npToMuBHURSKS8rot28Prr3qtAp7Zqmy/7NoJY889jYJCV60iHtZXlpbsd2EuXkFFBeXkpGRyhWXncSXXzzFh+89yPBhA+xjSq9DtCAXnjGjDyHcyDoH1UEIs4pOdnYG444eBlBdOyYdc45vBH5uDrUdmoHoEdb3LZQHDlRZxqUv+oTjRhEMNS5KDkwJ5PE42bBxK088/V6ThFPKya5pOmFNo0uXdlx3zRn8/OPrfPDOA5xz1jF07tiG/PwiCguLKSkpIxwOo1jqrZmrDi63k/seeIXNW3ZWsbIbhsFVl59Khw6tKWtANKE8VGZGGpquVXBIGLrB9dedabUtilRJzY4rt935PHl5hbhcLlsll/aEsrIgRUUl5OTkk5yUwIRxw3nqieuZ/fPbPPbwNRw4sC+6rhMOa1aGYfSnohzv4IP3o0OH7KhsAyNhRgiWMn7cMDJapVpqe5WPyYf1vRBiizX3m5zoTelHj4S8+NeBs6lmwZFdR8eMPoS9undk/fr6VSWpDppmkJDg4/0PvuWMU8fSb78eaJbVOJaQ7pZwOAyYZbOOOvI/HHXkf9i0eTsLFi7lx5/mMnPWX2zctI2cnHyKi0txuZy4XE68XjcrV67nuRc+5N67Linfq1uLSPt2WZx0whE89MgbuN2J1N09K+zItVatUmxprlr5/IMP2pejjvhPhX2ndB998tmPTPluFomJfkpLywiFwgQCQZxOB2lpyXRon8oB+/fisBEHMuCAPnTv3sE+q2xL7HQ6op5CHAmZtditazv26bsX306ZidvtRNMavz2QBr60tCROOmE0ILWjKkyX/cBft/7fpHtzieYm+jxgNnAwZutYW++RhqDs7FZMPGY4Dz36Fl5vrQEJuz6pFdyQn1/Evfe/wscfPEQsg5MkIVev2UiH9tk4HObtNqWYgVAEbbIzaJOdwRGjDgHg38WrWPj3chYtXsWK5etYs2Yja9ZtxuFQefnVTznlpDH06tk5QtU1z3P2GeN4/c1JlJTUvWhlJFJSEvH5veVGSgEnnjjaIoZmRbkZdiGIBx9+jVAoDBh07tyWzp3a0rVLO3r36szefbqzT99ueL0e+/i6rhPW9AhtxdyarFixjr26d4pZLLusbjN+3DC+/2G2VQiz8VCEoLCklKOOGGKl0BrV+c/lnP4VmCuHFJUB1BPNQnTL+u4QQgQNw/gYk+jVfQ6As84cx+tvTaK0NBAFC7xOcrKfb6bM5ONPfuCkE0bHLM9ZEn32bws57YxbOe/ciYwYNoB27cqb/mmaZktJVVXp3asLvXt1sf9eUFBMQWExO3bmsmLF+go12KBc5e3cuS1DBvdj0pfTreqqda/HBpCSnEhigo9AIIhhmBltRx0xpMI5JMrKyrj+2rPo3KktWVlpJCUlkJTorxKDX/naXNZx1q/fwrSf5vLCy//lxOMOp8denW0XZLQh3XTt2mWZ0X1ROq6BgUN1cO7ZE6yowVqj+P5rzXWHVRG5ydFsKUGGYSjWfr01ZoXYDCpFykG5keaSyx/gpVc+JT09ud4BGZVh1iAL0rFDNlOnvEhWVjoQu8olxcVlDDrkNBb9vZxefbpy+MgDOeqI/3DwQfvg83ntz2majmGUJ0g4nXVbh6U1/KVXPuXiy+4nIyO12nskO85+++Wz9D+gtyW9TSPb8uXrGDPuUnbsyCMYDHP4yAP5/L+PVz1ZLTDLYul2lFskcQsLi5n56198O2UWP0ydzZJla2nfLos/fnufjIzUmKShSi9FaUkZYydcwe9zF+HzuRvtWlVVhYKiEg4d3I+vJz9rp/hWGr+cyzuAfYQQm+Wcb9TJG4jmUt2lUU6xDBRvA9dQjVojJ/05Z43nv5/+YCenNMYNY0bLeVi2fC133/cKzz9zU4PDLXd9Lh2/38MlF53AVdc+wpbNO3juhY95860vad8+i5EjDmTEsIEMHLA3GRmpVDZXmOqx5XKMCDKJhFRPO3XMtnL563NvzGMlpyTg9/vYti2XcDhMH0urqImAstWwfA6yl3yk52jT5u3MnbeIaT/+ztRpv7Fx03ZKSspITPThcjo475yJZGSkxlCjMrPpnnr2fWbOmk9qalKjE6XM4xoowLlnj7fKf1WrjciH8E5zkxyakeiV8CpwPpBApWB0GWm0f7+ejB83nDfemmTlODduVdY0jeTkBN5+50sOH3kQxxw9tLY45QZD5sFPGDeM557/kPUbtpKelkwoFGbtus088+wHvPjyJ+zVvQM9e3Zi8MH7MWTw/rRv15r09KQ6SXVJRJ/fZ1d5qWv+veSwqbqbfcl13SApORGw4tirIXp1anZOTj7rN2xlxs9/8Mus+SxesoqVKzcQDofx+bw4HCrp6UkEAiHatMng5BNHxyyeQRbvmDtvEU8+8x5JSXXv1FobFEVQUlLGwAF7M27sMFtLqgQDc8UuBF5p9EmjgGYleoRUX2IYxpfAyVQyyoGMfxdcevGJTJr8E8FQ2LbKN3oMiuDGW55iQP/etG2TGXXpIo2KWVnpHDvhMO5/6HXcbicALqcTT5obwzBYsXI9i5esZtKXM3A4HHTs0Jq+e3ejV88udO7Uhi5d2tG5Y1vS0pPxuF0VziHJEg6HCYXCVsZf3cen6zoul5MEv88uIBEMhMy/V/OdcDhMYWEJ69ZvYemytaxcuZ5/F69iwcJlrFm7iVA4jK6Zx0xM8IF1DjOuwKCkpIxTTz6Srl3axWRxlVpIXl4hV17zCCUlZfj90Qm8kvUCr7jsFFxup+m1qT4STgW+EkIsbm5pDi1HogM8B5xINa42mbnVd+9uTJw4kpdf/ZTUeqaBVgepwq9evZErrn6UD999AGGFd0ZzvyiPdcrJY3jx5U/sJhWypDOA1+vB58NWhzds2MrKVRv47ydTbTebx+Pi7jsu4vxzJ1ZZkAzDYPWajRQVldS4R68JcqFIS0+2PBMOlq1Ya429/BzynJO/msE11z9OQYEZwlpaGsDpdOBym+N0u122N0CrZBTUdQO328UpJ42xs8yiDWkBv+3O55k7b1G9U4ZrgnQ7Hvqf/RlzxCFmEFH1FyBdas81+qRRQrOX1IyQ6r9ihsUKqokckmS56rKTaZ3Vql6NE2qDVOEnfzWdx596FzXqFWPL+7Z17dKe0aMOprCwxI55j6xnJ7P1ZESZqig4nQ7cbifdu7Xnofuv4Owzj7Fz18uPb+7bv/l2ZgP26CDldlZWOgYGbreTmTPns317rqVNGfZ5DMPgmHHDefrx69mnb3ecDgcul8M0vinl/cgNq5uKjPaTYbAlJWUMHLg3+/frab8fTchCGO++/zWvvv45yckJUYtzNwwDh1PlmitPx23VSaghrl0Ak4UQs1qCNIcWQHQL8m49BASs3yvMVhmy2q1bBy46/1grkSM6k0TTdBITfNz3wKt8/e0vdunlaEImg4wbOxSPx2VnP0mJWFxcSmFhMXn5ReTmFuD1uhk0sC8XXXAcH773EL/+/BZnnDa2SlJM2KpCM33GPKZOm4Pf72nwQpWVkYZA4HI52bh5Oy+89F8ryaicKEIIFCEYe9Sh/PTDK0z6/Ekuv/Rkhgzen6REP3l5heTlmZF+RcUllJSUEQgECYfDGIZOKBRm3FFDcbmcjWqoWR1kKat5f/zLDTc/bdUyiM6xzX7uxUw4ejgjDzuwJr+5PFsAcy5DC+kd1SJUdyGEZhiGAswBJgHHU81eHcxV9aILjuO/n/7AipXrGx0tJ2FKyDCXXvEQHTu0Ye8+XaO6f5QGm8MOO5COHduwatUG0lKT8Hjd+P1eWmem07lzW/baqyO9e3ahU6c2dOiQjS8iSChyPIZhSi+HQ2Xz5h1cd9NTaJqGy+Wot4FLci0zK93es/t9Hp5+7gMOPmg/DhsxkHBYs+PxI8cyZHA/hgzuRygUZs3aTaxdt5nFi1ezfMU61qzdxJYtOygsKqGsLEBBQTEd2rdm7FGHWvckenJGxt+v37CV8y68m/z8QnxRKEcGVhRcWKNVegrXXnOGdX+rjYKTe/Mvgd8sad5kxSVqQ4tYbaCCX31/zGg5B+b4KoxRTrAPP57CGWffbqlm0ZG+sl7Zvvv2ZNKnT5AZZf+uPNYvM+eTm5tPdnYGrbPSyW6TgaOGYBGTYMJW1aVBS6rE69Zv4ezz7mTWr3+RmOCrsieufP7KfnSpKSmKwjdTZnL8Sdfj8bgRAgKBEEmJfl59+Q5GH36wPR7ZL860J5hW+toKVubmFbB1aw7btu1ECIUhh/RrxF2s/rqEgJKSAMeddD0/TPut1my6+sJsUlHALTedw523XViTwVayPwwcLIT4o6Wo7dCCiA4VyP4ycB41WuDN1wmn3MBXX/9iuU6i91BzcwsYPWow//3gYbvGfLQs8TVVzSlvMmHYn5ELjAz8kAST7332xY/cde+LrFy5wcwg28WCtyui//nnYv5z2Dl43G7bDhAMhlBVhauvOJULLzjOzheH8uywcoOdEXF9otLPiuOI5uJpGAYGcNGl9/HGW5MbVMqqJpiNJMro3bszP3zzIklJCRWeTQTkXH1NCHFuSyI5tJw9emXcA+zEHF+FmyVvsKqq3HvnJbRqlRI1wxyYEis1NYlvpsziokvvt33S0SpUIYRZtDIc1giHNSvBQ7fVQal1S+KbRizF3psXFBTz309/YPxxV3PG2bexZs0m/P5dk3wXowIgPT0Zp7O8GKeu6zidDoQQ3H3fy4waczFPPP0eGzaYvQFVVbXzzCOLURiGGSJqXoOsxCKvt2Gtn6qDJLmiKNxw01O8+dZkUlOiR3IwrYpCCO645QJSUsyEoRoMcApmBZm7o3TyqKJFSXQAWTTPMIzrgIepYa8updBTz77PdTc8YQXRRG8BNdsNFXDBuRN5+okbbKnUFOmtkcjJKWDVmg0sX76O2b8t4Idpv7FhwzZCoTCJiT6g7t1ia5LoUsJu25bDQf85k507c6067+ZxTU+ASnFJKVpYp1WrZA4Z3I9hQwfQc69OdO3annZtM2N2D2q6Fknyu+99ifsefN3qFhO9OSBV9vPOGc/zz9xcW6ajnKM3CiEeaurCj3VBSyS63Jf7gN+A3pQbOSI/ZxqkwhpHjb+cn3/5w2r9E02yK+TlFXLZJSfx2MNXo5uiKirW/ry8Qv7+ZwVCmFpEYVEJ+XmF7MzNZ9vWHDZt3mGlrOaxafMOtm7diaoqeL0eK71T1Ptad0X0/PxiDh9zIf8uXoXHU9VNJ7cv4XCYsrIgZYEgKcmJtGubSav0FFq3bkXbNhlkZqWTlpqIx+PB5/OQ4PfhcKh06tSGLp3bNlp1l3YKVVV45LG3zE6tCWYQQrQi7RRFoawsQKeObfj+2xdonZVuhrtVr7IrmGXMDwaKAKOpS0XtCi3C6h4JK7NNEUIUGYZxE6ZvvbrPYRgGTpeDxx6+hlFHXkxxcWm9e4jVBjPTLZFnnvuAYDDEU49fZ/uSGzpRJbkKCoqZcMI1lJWa3kQ9wvZg6OUT1uFw4HI5adUqxZ7gZqBN9OeR1+uy6qvJSjMVzyGlpaoqJCT4SEryEw5rrFm7ieUr1lUwEgohQIDA3HoEgiGeffIGupwzwQ5PbQgiK+zcff8rPPjQa/j9nqiSXM4tXTfr8mW3brUrO40AbhVCFDRXYYldoUXu0S3VXRVCfAm8gynNq6hCUqrt3acrd99xEaVljU9jrQxd10lJSeSlVz7hwkvuIxgM2S6ohkBqA+3aZ9GtS3uKi0vxeFwk+L0kJfpJ8PtITPSTnJxAcnICPp8HVVXs/W2sYsPBrKuXnpZMWNNq1fUMA7s6jBACj8dFUpKflJQEEhP9JCT4SEz0kZTot7LFdByqalvbI6Pt6gN5zwVw863PcN8Dr1rZf9Htq2fm3Bdx8YXHM/aoQ2sjuVTZ3xNCfNGS3GmV0SKJbsGw1PgbMOttVRsxJ6usnHnG0Zx0/Kio9iaT0DST7G+8PZlTz7iF3NwC87wNJLthmKGT991zKUePHYrT4SA/v4i8vELbVWTohpVgEltyAxUWLrNhYt0DWaTkk8UrzeNBcXEpO3fmo2k6fXp35Z47L6Z7tw7Wvrr+i7EkWziscdlVD/Pok++QZNkoonl/HKpKQUExAwfuze23nFeb9iYd6ZuBG41mqNVeH7Q41V0iorbcZsMwbgHepNrQ2PJorQfvu4IFC5ezbPmaKFiiK0LTdNJSk/h80o/szCngzVfvpH371g0qmCAnzvChAxg+dADLV6zj80k/MW3ab8yZu4jiklLcLhdut9NKg4w92U21G9LTU9Dr3YDB3C4FAkGCwRAI2LtPN4Yd2p9xY4cyaGDfOufWVwd5j7dtz+WiS+5j8tczSE1JtBbBBh+2CoQQBIIh0lKTeO6pm0hM9NcmzWWG2q1CiA0t0QAXiRa9CoFphcck+H+BiezCCv/bbwsZd+xVBIPhClVTowVZiqpb1/Y8+9SNDD20v+0yqq+kqjyJQqEwfy1Yytff/sLX3/zCshXrKCoqITHBh9PpRIhyn3pDUJMxDkyDoMOh8vyLH3P5lQ+RVkst9MgYdU0zDYlOh4P27bI4+KB9OXbiYQwa2LeCz70hsQimtmDu5/9dvIpzL7ybeVFMUomEAITV++21l27npBOPqG0Rl3PwS2Cc9fUWZ4CLxO5AdBlE0xYzYq491VSigfKoudffmsTFl95PYqKvQnGEaEEmZ/j9Hh6+/wrOOP1ooGGTGcpb+0ZuOcoCAaZOm8MPU+cw5ftZrFu3Bd0w8LhdtkW8vnaC2oiuhTVUh8pH//2Oc86/y6xRrhsVzHHSpx8KhSkpLQMD0tKSGTa0P6NHHsyoUQeTmZFmf75yVF99EHkvP5/0E9dc/zhbtuwgIdEbkx5qqqqSk5PHddecyQP3Xlbbs5RzbzMw0JLmLSo4pjq0eKJDBd/6WOBz622zN1AlSLJfe/0TPPnMu6Snp0QxgKIcqqIQstxM550zgXvuuphkq7hB5frsdUXlTDGJbdtzmT5jHp99MY3f5/7DunVbcLuduD1uHKpiG8fqcvwaiW7dt6k/zuHEk28wN6ARdel0XSMYDFNUXEpmq1T2268HR44ZwlFjhtC5U1v7HLpuYFhBJTV1Zq11jJhNC1XVdG/d+8CrPPn0e6iqahWqjD6fzGjIQsYdPZT3377fjkCs5hkamNJcAMcJIT5v6Sq7xG5BdADDKqxnGMYTwJWYMcVVNn4yjDQYDHPGWbfx2aRppKYmEo6BFJATIb+giEED9ubRh6/mwIF9gYZL90hIo1jkcZYtW8tPM+by6efT+HP+EgoKinA4HPj9Zu05oxY3U21El+Od/9dSxo6/gpKSMpxOB4FAkOLiUrxeN927dWD8McM5/LADGThg7wrHjoyBbyhkFKIQgkWLVnL9zU/y/dQ5JCf57W1LtGHWZi9m33168NWkp0lPS67NACfn3NNCiCuMZiz2WF/sTkSXgTQe4AfM4IRqVXg5aXfsyGPiCdcyZ+4/JCf6TbdRDOBQVQqLiklK9HPVladxxaUn4fG4GyXdIxEZzy0js3Rd568FS/nsix/5acY85v+1BF3TcbtdNXodaiO6nNzr12/h0BHnsmHjVgygXdtMRgwbxPhxwxg+fKDdAzwyuaa6ePb6Xp8MgNF1g1de+5T7HnyNbdtzSEpMiJnnQVVVSkvLyMpKZ/JnT9K7V5e6uNLmACOAUlr4vjwSuw3RocJ+vRtmS6dsyq2fFSAf2MqV6xk7/krWrttsWeJjQ3bp6y4qKmH40IHcdfuFDBpkSvdoER6wLc2RKZ4FhcXMmfM3H348hZ9mzCMvr7Dac9WF6CUlpRwy7GySkxI447SxDDlkf7p2aVfr+RuKSIIDLF26mlvveJ7JX/2Mz+fG6XTERFUHc/zBYAivx8MnHz1i9Zartbe5ALYAw4QQS3eHfXkkdiuiQ4X9+lHAF5Snsta4X/9rwVImHHcN23fk4vW6YzZ5pOW9sLCEhAQv558zgSuvOJWMVqkVxhMtSINcpASf+etfjD7yYqvxYkVhUxvRy4+ps3TZWnr17FzhPYhu26RIyVlQUMRzL37M8y9+zLbtuSQl+mvdgjQWiqIQCocQCN57637GHHFIbRb2yOTz8UKISbvLvjwSLTlgplpERM19BdxGNRluErLW3H779uD9d+4nJSWJsrJgTBoFQLn1PDHRh64bPPL42wwfeT6vvPY5pWUBm+RmqeTGT2JFEXbIr1lT3WCv7h2s2vcNyxJTFMUmuQzYMQtORGeqmDEB5e2SJk2ezuFjLub2u16gsLCEZCsxJZYkD4c1dM3ghWdv2RXJoXx7eLtFcsfuRnLYDYkOFcj+AGapaBXTUFIFsunfgYP24Z037sHr9VAWQbpYwPSrm22O1qzdxKVXPsDYYy7ni8nTzfLJqmpXh43GhJZuL0UR+LxeOnTIblTqrtQEokVw6Q8vz6mHKd//yjHHXs3Jp9/EP4tWkJqSZAcHxQqyLFY4HOa5p2/ixONH2eWnakAYc269JYS415pzu4XxrTJ2S6JbkCGylwPfYVpDayC7SljTGHpofz54534S/D5KS4MxJbtZ6sk0jiUnJTDr1wWceuYtHDnuMr7+9pcKhSRk08FowO/30LFDNsFQuMEGsmjV4tMtTUN6DoQwa9tNPOFaTjj5Br7/YTY+n9faTkVHy6kJUpKHQxrPPnUjp51ypBk7UPMc0DDn1A/AxdZc2y0Mb9VhtyW6ZQgRQohS4FTgL8wHU61a5bAKPg4fNpAP33+QtLQkSkoDNZZwihYi1XmP28X06fM48ZQbOWz0Rbz1zpfk5xfZxRt03SyP3JCEGblgCCHo2D6bUDD6/cDrgvJrMOyGikVFJUyaPJ2xE67gmGOv5utvfsHpdNj547Fwm0VCVcwgH8MweOHZmznjtLGmJK85J0Ja2P8BThVClGDOtd3G+FYZLTbWvS6IiIffYRjGccBUoCM1hMlKy/h/DtmfTz96lBNPu5FNG7eTkBCt4v41Q6qkCQk+DMPg19l/MevX+Tzz/IdMOGYExxw91GquKCp8vj7WeikRO3TIRnU4ohoHvqvzyj5uphpsjnfV6o189fUMPvz4O+b/tRQAn89DUpLfqoIb+wHKwBu3280rL97GMUcP25VRVM6d9cAEIcS23dH4Vhm7ndW9OkRY4vsB3wJZ1EB2KE+SWLBwGWedewf/Ll5FcnJCTCLoqoOZiKMggNKyAKWlAVq3bsXgg/fjuIkjGTRwb9pHdFw1x6wjGyLWRHw5gad8/yunnHazmQ8uyvvX1cXqXhfIPTdWrnkktm3LYc7cf/jgoyn8OnsBmzZtw+l04vN57O/GOkFHQmoTGa1Sef2VOxg+bFBdDW85wGghxNw9geSwhxAdKkTODQC+poburBLygW/cuI1zL7ibqT/+RmpqUqOSRhoCRREoQiEQDBIIhNA0ja5d2zNkcD+GHtqf4cMG0DqrVYXvSF925eKLsrTS4iWrOOKoS8nLL6xQEqo+RJcRhpG/y9tSmdw7duTx4/S5TJ8+l99+/5t/F68CgZ2BV9cQ3WjC4VDJyy+iV4/OvPXa3ey77171IfnRwmy+sEeQHPYgokMFsg/BrEyTQi2SXbqOCouKufyqh3nn3a9ISUkyE9+bkOxQnhEmBJSVBSkpKcPrdZOamsSA/n34zyH96Nt3L/r06mK3ea4MqUIXFZdw0CFnsH7DFquJQd2IbtoTNLurSk3YsSOPRf+u5J9FK5g1+y9m//Y3O3fm2WP2et12MlFTLppQfh9zcws4fORBvPDszXTskF1Xkhdg+sp/3J3CW+uCPYroUEGNHw58Sh3Jrmka9z/4Og8//haKALfbHfN9e00w9+WKXcUlEAwSKAuSmOSnc8c2dGifTZ8+Xdm/X0/69OpKeqsUkpL8dngqwJFHX8aP0+eSkOCzpWl9VfeysiBFRSVs257Lv4tX8s8/K/jn35WsXLmetes2k5tXiMct8+YddpmtppbeEtIGU1xcynnnTODhB660mzjUYU9eAJwghJiyJ0lyiT2O6FBBsg8CPgPaUAvZI5MYvpj8E1dd8yibt+xo0n17TZASSpbNKisLEAqFbd+5qqhkZqbRuXMb2rXNIiMjlTbZGUz+agZz5y2qk0SX24Dt23N574Nv2Loth82bd7Bl6w7WrtvMxo3b0DQNTdcxdMPqB2fG1MutTlNL7spwOFSKikvxeT3cedsFXHLRCcAuk4vknNgOTBRC/LKnSXKJPZLoUEGy98ds89SGGjLerM/bcdf/Ll7FpVc8yC8z55OcnNCoGnHRRKR6H7lvDoc1gqEQ4VCYUDgMCJKT/FVU1ZqILsnwxeSfGD/uMhSXC9Wh4nA4cDodVm13kPaA5lLLq4O8J/kFRfTcqxNPPX4dw4YOsI2FtWgsci5sxVTXZ++Jklxit/Wj7woWyR1CiHnAcGAhtQTVSAmpaRq9e3Xhi08e57prTicYDBIIxC5stj6QarFZn023panDoeL3eUlJSSIzI43MjNR61c2TfF2xcj0JqclkZqWTkpKE3+/F6XTYi2DkuVsCyaWqXlBQxHETRjLlq+cYNnSAlUSk1EZyGQyzFBhhkXy3DG2tK/ZYogNY6rsqhFgKHIHpZ68xqAbMKDpd10lKSuD+ey7j3bfup127LHJzC6rkhrcUlC8Amt0RpX48ND+8fMU6gsEwWpUOMi0LclHOzy8mMdHH88/czHtv30ebNhl1SRyS6vps4AghxKLdObS1rmh5szbKiIiL3wSMBd7CfNA6NSTDRBqVjj7qUKZOeYHTTjmSskDQipNXa/Rl746Q5ZfXrt0MGC12QyewwpnDYfLzixgzejA/fPsi55x1TJWU12qgU07yT4BRQojVe7K6Hok9nuhQ3pZZCFEmhDgTuBfz2mvMfJPSW9N12mRn8vord/LeW/fRpXM7cvMKkG16d3cYVvnl3LxCduzIxeGsf9vlpoCiKCAEefkFpKYm8dTj1/HZfx+jZ49OEZV4alyhpPtMBR4BjhdCFBotuA57tLH7z9Q6wgqXVayHextwMmZwhNkYvQaoVjqlruuMGzuU6VNf5ZorTkVRFAoKiqOawtkckKTetGk7O3PyrbTXZh5UBBRFQVUVSkpKKQsEOOXEMfz43ctceP5xgOyLXqs9QrZMKgDOEUJcD4jdrXBEY7H7ztAGQAihR8THfwAcCvxB+b692ikuyaxpOqmpiTx4/xV88+WzjDr8IEpKSikpLd1t1XkZGLR5y3Z27MjD6WgZEl0IgUNVKSsLkJ9fRP8DevPJB4/wxqt30blz22rr6VWC7FWuAgswK8O8Lgn+/0Ry+D8jukTEvv0fYCTwBuaEENQm3dXyvfvA/n2Y9OmTvP7Knezduxu5uQUEAsFdWXtbHixOb9iwlaKikmbfjsiovFAoTE5uPp07teHJx67jhykvMXrUYMv6b9RFigvMBfwD4DAhxJ9GC+2L1hTYrbPXGoMIsucCZxuGMRNz/5ZGubpXhbHSbyutuyccN4pRIw/m40++56VXPuWfRStwuZx2GGhL8L/XDMOWiCtXbkBtRrXdTNbBqjpbRufObTj91NM5/9yJZGWateLrYFGXZZ9UoBC4QQjxApTHVcT4Mlos/m+JDjbZhfmreN0wjNnAs5h+d6glmq68LJTZl+38cydy8olH8OY7X/LyK5+wdPlaHKpqNQFsuYSX2seq1RuaRW2XBC8pKSMYCtO5U1tOOfEIzjrzaNq3aw1YCUiKuiuSS4ObAGYClwkh/rKeL//PJIf/c6KD2aYZs1qNKoRYbBjGKOA64HrMOHnJ0GpnWbk6b5CQ4OPSi07glBOP4JPPpvL2u1/xx5+LMQzD6oqqNmsseE0IhzVWrFgf1ZbTtUHG8muaRnFxidURtxvHHz+KM08ba0twWed9F2p65PMpAh4EHhVCBAyrnZfYTUoyxxK70WYy9oi0xBqG0Re4D9P3DrWo8xHfr+DLDQSCfDNlFm+8NYlfZ/9FQUExLpcTn89bXqu9CSVo5RBYqQrv2JnLfv1PoqioBIdDiYn6Xh6+KygrC1BaFiAxwceggX057eQxHHnEEJJTEoE6l8c2MEkuV4HvgZuEEH9a1/p/ZVXfFf7vJXokLIu8AFQhxN/A0YZhnAfcDsji5jWq86b0ETbh3W4X48cNY/y4Yfw5fzEff/ID3//wK/8sWoWqKnZyiIylb3prt3m+Vas2EggE7ASXaKHcKm4QCITMePywRtcu7Ths+CBOOn40Bx20b4W2UIpStZhFNZDPQMVsqf2QEOIZKG/KGSd5RcSJXgmWmheOcMO8YhjGd8A1wLmAj3JpUqPBrpzwpp93/3692L9fL66+8jR+/vkPPvlsKvP++JeNm7YRDmskJHit+PTyhgqxJr6pfcDKVRsIBEK4XM5GndOW2li+LSsOXQhBdnYr+u3Xi+OPHcmQwf1oF1FBR9M021++qyFbP1UgALwOPCiEWAdxg1ttiBO9BkSo8Ko1ka4wDON94GbgaMrDaKvtFGMdw95fyqSQzIxUjp14GMdOPIyNm7YzddpvTJ02h19mzWfrtp0Yupky6/G4cbnMum+GrmNEVHiJFiSpV67aQFlZ0GojVXeeCAECgbDU7GAwRFlZ0Ez7VQSZGWkcMepgDj20P4cNH1Sh44ssiW0SfJcJOJXtJFOBu4UQv1jXoQohtDjJa0ac6LuADJ+1fp8DjDMMYyKmhD/I+pgkfI0z1mwfrNrdRhUhaNsmgzNOG8sZp41l85Yd/PnnYr77YTZ/zF/M6tUb2Lo1B0VVcLucOJ0OO3DHVLGNxqeLWnvgNWs2EdZqLg8dmR5rbjPKM9lCoTDBYAhN08lu3YrevbrSt283Rh9+MAMH7E2b7Az7OJFjraO/XvrD5Yd/x3SBfmElLMnnEif4LhAneh0QId0VzMZ6nwKfGoZxPHAVcKD1USl5qm0RBdKdVa6ey77o2a1bceSYIRw5ZgiBQIiF/yxj2dK1/PHXYubOXcTKVRsoLS0z3VDBEA6HistlVnZxOGRUXnVSv/wNXaeCgcvpUAmFNLZs3YHH7Y6ov25fudUFJkwoZL7CYQ2Xy4nH48Ln89KlS1sO2K8X++/fi737dKVP72643c4KIzD7pCt1rWgrfeFQvnDOB54APpBZZnE1vX6IW90bgAjCG5bx5zTgLOA/ER+T4Ze7ntl2EQmTqJWlXTissXnLDhb9u5IlS1azbMU61q3bzMZN29m+LYcdO/MIW/tcuUeOlMJE7JsdqsrUKS8yoH8fADZv2cGwkeexYsU63G6X3T3GMAx0w8DpcJCZkUpmZhqtW7eiQ/vWdO/WgZ49O7PP3t3JzEyrkvsu1XJJ6jqGBsve45HCZzbwMvCeECJk3fu4y6wBiEv0BkBa5yOkypuGYbyDGU57GWZbXVnALXIfX+2ML6/eUi7pZVEJVVVwOFTat8uifbssRh9+MACarrNjey55eYXk5hWyadM21q3fwtZtOeTk5pObU0BOTj75BUWEwhqGrhPWNAQCl7Nc4hYXl5Cd1YoundqRkpJgFq/ITKN1VhpZWa3Izm5FemoyKamJpKelVBveaxhm0wZhVXSpRxitNGpK9dyBaWSbCTwNTBFCBK1zSILHpXgDEJfoUUBlNdIwjEMws+MmApkRHw1Tnh5b33NEvKhnBRmDUDhMOBgmGArblWMaArPFUkW/eANQnfTOAz4H3pBGNmvscRU9CogTPUqw/O9SpZd7+izgcOBs4BAqTmw5eWsNwqnlfFXqrUfurSP5tysyRhrzqtZzr1g/vhHElppN5XvwG/Ah8LkQYqM1HnlP4ip6lBAnegxgqZlUI+UPBY4F9qGiVJfWZfk8YvJcJKGbIJ3WiPhZnTdiMWZ13u8qSW/FHF5cgkcbcaLHEDJhBstwZ73nAPoDxwNDrN8rI0z5vnV3eUY1SW2JPzCl96fArIi9t7zOuPSOIXaXSbTbowYp7wN6YpL9aOtnVuWvRrygCSR/LagsqSPHU3ksW4FFwFfAL8BiIUSxfaC49G5SxInexIiQ8oqoVHnUMIxMzCCc/TDV+/5Ah5oORfk+vzby1/UZV5am1ZG6NnfhNkypPc/6OVsIsa3CAU1tRidCw4mjaRAnejMiQm2FCCNexN9bAZ2A/TGJ3xuzEUVrILnpRloB+cAWYBPmXnsh8CewDtgeeQ0Ri1rcsNbMiBO9BSGC+KKytI/4TBIm+dtgqvntMXvCd8B05aVj5tE7MffK0hBW07OW5NMwbQMhTDLvxFS/1wFrMfuFb8Uk+BohREEN43NYx4wTuwUhTvQWClkZhUr739r2tBbJHJgkT8EkfYL1nhtwWX8Dk9BBzACVMGbRhp2Y/uwQEK5psbHOFWlJt9X7OLlbJuJE380QKfXlW8RQejb1+eKIDeJE34MQoQVI7Or/NRngzA/HyRxHHHHEEUccccQRRxxxxBFHHHHEEUccccQRRxxxxBFHHHHEEUccccQRRxxxxBFHHHHEEUccccQRRxxxxBFHHHHEEUccccQRRxxxxBFHHHHEEUccccQRRxxxxBFHHHHEEUccccQRRxxxxBFHHHXA/wDwrW9MCR4roAAAAABJRU5ErkJggg==",
          "x": 62,
          "xanchor": "center",
          "xref": "x",
          "y": 40,
          "yanchor": "middle",
          "yref": "y"
         },
         {
          "layer": "above",
          "sizex": 150,
          "sizey": 150,
          "sizing": "contain",
          "source": 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",
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",
          "x": 640,
          "xanchor": "center",
          "xref": "x",
          "y": 517,
          "yanchor": "middle",
          "yref": "y"
         },
         {
          "layer": "above",
          "sizex": 150,
          "sizey": 150,
          "sizing": "contain",
          "source": 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",
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          "sizex": 150,
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          "sizing": "contain",
          "source": 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",
          "x": 232,
          "xanchor": "center",
          "xref": "x",
          "y": 229,
          "yanchor": "middle",
          "yref": "y"
         },
         {
          "layer": "above",
          "sizex": 150,
          "sizey": 150,
          "sizing": "contain",
          "source": 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",
          "x": 351,
          "xanchor": "center",
          "xref": "x",
          "y": 419,
          "yanchor": "middle",
          "yref": "y"
         },
         {
          "layer": "above",
          "sizex": 150,
          "sizey": 150,
          "sizing": "contain",
          "source": 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",
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          "sizing": "contain",
          "source": 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",
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          "xanchor": "center",
          "xref": "x",
          "y": 384,
          "yanchor": "middle",
          "yref": "y"
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         {
          "layer": "above",
          "sizex": 150,
          "sizey": 150,
          "sizing": "contain",
          "source": 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",
          "x": 325,
          "xanchor": "center",
          "xref": "x",
          "y": 330,
          "yanchor": "middle",
          "yref": "y"
         },
         {
          "layer": "above",
          "sizex": 150,
          "sizey": 150,
          "sizing": "contain",
          "source": 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",
          "x": 249,
          "xanchor": "center",
          "xref": "x",
          "y": 154,
          "yanchor": "middle",
          "yref": "y"
         },
         {
          "layer": "above",
          "sizex": 150,
          "sizey": 150,
          "sizing": "contain",
          "source": 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",
          "x": 294,
          "xanchor": "center",
          "xref": "x",
          "y": 195,
          "yanchor": "middle",
          "yref": "y"
         },
         {
          "layer": "above",
          "sizex": 150,
          "sizey": 150,
          "sizing": "contain",
          "source": 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",
          "x": 576,
          "xanchor": "center",
          "xref": "x",
          "y": 591,
          "yanchor": "middle",
          "yref": "y"
         },
         {
          "layer": "above",
          "sizex": 150,
          "sizey": 150,
          "sizing": "contain",
          "source": 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",
          "x": 188,
          "xanchor": "center",
          "xref": "x",
          "y": 183,
          "yanchor": "middle",
          "yref": "y"
         },
         {
          "layer": "above",
          "sizex": 150,
          "sizey": 150,
          "sizing": "contain",
          "source": 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",
          "x": 165,
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          "y": 280,
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          "yref": "y"
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         {
          "layer": "above",
          "sizex": 150,
          "sizey": 150,
          "sizing": "contain",
          "source": 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",
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          "sizex": 150,
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          "sizing": "contain",
          "source": 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",
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          "xanchor": "center",
          "xref": "x",
          "y": 229,
          "yanchor": "middle",
          "yref": "y"
         },
         {
          "layer": "above",
          "sizex": 150,
          "sizey": 150,
          "sizing": "contain",
          "source": 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",
          "x": 163,
          "xanchor": "center",
          "xref": "x",
          "y": 276,
          "yanchor": "middle",
          "yref": "y"
         },
         {
          "layer": "above",
          "sizex": 150,
          "sizey": 150,
          "sizing": "contain",
          "source": 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",
          "x": 92,
          "xanchor": "center",
          "xref": "x",
          "y": 262,
          "yanchor": "middle",
          "yref": "y"
         },
         {
          "layer": "above",
          "sizex": 150,
          "sizey": 150,
          "sizing": "contain",
          "source": 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rUqmWXINR0aTClvGCqhpWUz+ptfp+qM0\\u002fMtv7mj4PScfdhJ9mFFdBfJDwWeRFUZ7W5dFwKrqYlN3\\u002fkeyfkLEKUguWlCKo2diOOfOJGqUz6lMq3ssEP2XiwLIQxlLS9n9JLsMbNhA\\u002fE35xB9+mkSCxYh4\\u002fFs6qzBJLwQSNtGxhPUXX4Jted\\u002fKd\\u002fym1uNv1QI8Tt34pHhgDLvRdsPF8l3RpX+2Yk8JLfb2tl05TdJvF0Ckjsdy+7oxBxbT\\u002fVnP03VGZ\\u002fDrK1R2y1ru+bKZYuu5Tey\\u002fudSkpgzl47HHif+ymtYTc1OtJ9\\u002f8J69fu7RKKMuvZiaC87vjez683khxAPDaZ19CPamnnCVQqoAngAOx+0Mo73dYjE2fut7xF9\\u002fffDVdSGQqSTYkspPnUTNeefi33knutoH+UIvhy601HbN61OrVtP50CNEn\\u002f4vmS1bVNEHnV5roOEie93llyrJnl+NB4gBnxBCvDxcyD7kiZ7jEPMXVBmkLMl19ZFkks0\\u002fuobY\\u002f55BVA+y4U0IZDqDf9LOjLrya8oKDMhUunuVleGKnIEsvWYNbX+\\u002fj+iTTyGjUURFRdbBZSDhluyXXULNl8\\u002fLR3bdd9YBRwohVrnDmYcqhnzvcqnsV6DCTbOx5FIqTzBD0HT9jXTc\\u002fyCiVNZ128aoqSEy+0jCMw8lsMce+MbW99inK7nFcCR+DuGTy5bT\\u002fpe\\u002fEX3mWQCVQHOg5+86DXU0xqgffJfq0z+Tb+lNk30OqrR1giFuiR\\u002fSvclF8sOA5wEnE6NzX84LbPvzX2m+9XaMqsqSOsJIy1KFEA1BYPJkgjNmENx7L8IHH6QMcW7Dm7uMkft7OCBnfhx9\\u002fkVa7\\u002fw9qeXLVYTgQKvzQigPQStD\\u002ffU\\u002fpeKYo7dG9j8KIS4Y6pb4Idt7dLZWVHDKa8AM3Cq7k5Ag+vT\\u002f2HzVj1X0mXbkKCV0mGUyiUwkEYEARmUFgd13I3zwwQT22oPgbrth1NR0P244SnuXhLc7Omj7819pv+9+ZDyu1PmB1LwMQ7kAB\\u002f2M++UvCB1wQL51dq0dXimEuG0oz9eHbI9xSfPbgcvJY3xLLV9B4yWXI2Ox7LJOucAQWbdRy0KmM8hkAlFZiX\\u002fHHQnsMoXQIQcR2n8\\u002fzLFjlaVao5zW1osBlzRNLlpM8y9vI7FgoZLuAzl3NwxIJjHrxzDuN7dnk1hkya6t8BZwzFA2zg3JHuIi+WeB\\u002f8NdgldKEGoJq\\u002fGSy0ktW56d+5UzuhU3SCKtjCr8EAoRmLorwX32JjhjL0L77Ys5enT3Y4f6shxk1+NNEzsao+V3d9Jx\\u002fwMqGEcn3hwIGAYyGiW4796M+\\u002fWv1EqAK0cg2SXaFcBhQCtka\\u002fANFQy5XqEtoFLKXVEq+xi0G6Mr3LTpZzfQfv8DSgUudRRaXyBQkl7DtrP1yyIV+MaMwjd5EpFDDiF04AH4J05ERMLdzzGUie\\u002fO7vPMc7T88jYyjY2IygEMGfaZ2K1tVJ12CmOu\\u002flGW6D0t8X8SQpw\\u002fFKX6kOoFeikN1e4nyOZ66xaNFn3qaTb\\u002f+CcYoaCK1S71vLxQGAZCe3il046qn8aoqCAwbSqBPXYndOCBhPffF6OurvuxW69NXp5wDdiZD9ey+eprScxfoOIRBup9Ggays5O6b32Dmi98Pp8Kr8l+jhDib0ON7EPkzSu4VPZvAjeTmyEGtUa64fyvkFr8jkrF7Kh+wjCGB+ndktq2kfG4CmMNhTBragjuNZ3QIQcTnL6nyoNudNcOhpRBT8cldHbS9LMb6HzyaYzKCrWt2O\\u002fRGUiFEIz7za8I7bdvPrILYDNwgBBi7VBaXx8Cb1vBpbJPB95AWduzYad6v1SSzEfrSS5ZQuzFl0gtX0Fm82ZkLJ4tlaQ7ebkkTSgEmrS2BRkl6WUqhTl6NP7JkwjOmEH4yMMJTpuqEjFo2I6dqdwlvfZqtG1a7\\u002fw9bffcq5JfDMQKimEg43H8u+7K+Lt+l03p3VOFv18IccZQWnIr4zechUtlN4HHUCp7D2meD3ZzM\\u002fG580gueofE\\u002fPmk3nsfMipWQQSDCL8fWa4pkvoKnQtOCJWwwslGg2ninziR8KEHE9p\\u002ff8KHHKSWrzQsq7ylvMs41nH\\u002fgzTd\\u002fEsVMuvzFd9IZ5rYbe1Uf+6zjP7h93I959zBL58VQjw0VKR6mb7Z7nCp7OcC97ItkvcyL7WjUdLvv0\\u002fsxVdILFxIevUarE2blGofCKglHqccUNlb6bcF971LqSS9U7XUHN9AZOZhRD5+DMHpe\\u002fas+FqOPvcuq3znvx+j6fob1P0NBNmFQMbj1P\\u002f8Z1Qc9\\u002fFcFV7n\\u002f18DHAQ0MwSs8GVPdJ0IAKhHuSTuTHa+tD0nyI7KOR04tXwFiUWLib\\u002f2Bql33sFqa0Mmk0rSh0LZ493fQxVCKDuFY8gjnQafn+DeM4gcMYuK447FN2G82lcTvhzV+i6D63\\u002fZ8pOfqnYWm+xCQDqNOXYs4\\u002f\\u002f0B8wxo3OX3LSguU0IceVQSFZRZm+xJ1zS\\u002fGbgm2ynyt7LyZz4pJ6d2Nq8mfibb5GYN5\\u002fk0mWk33tfGWd8JsLnVw43w0HSQ7d7l9EYUkrM0aOoOPooKk48gdC++2b3zV\\u002fQsLRwHGxizzzH5quuVr3YNIs7GJsmdlsb1Z87Xanw3Us\\u002faUeaJHCoEGJRuVvhy5roLmk+HSXNg86m4rQ7TyglgNXaSnrlu8RefY3EnLlkNjRiNTcjTFM53+iOPxzm9fpeMhnseByjooLwwQdR9ZnTCB16CMLnK0+V3iF757\\u002f+zZaf\\u002fXxgXJyFQKbTjLv1ZsIzD8sd9LTAeRQ4DSeCsngXLy7KnuiOpf1+4HQKkebbvlj2k0P85JKlJObOJTFnHonFi5GdUSXt\\u002ff6sBXg4LN05xSTtRAJhGIQO2J+as79A+IhZanv+KiilgWvwafvzX2n51a\\u002fVcqreVgw4VvjAtKk0\\u002fP5OjArn\\u002fN1VeAmcKoR4vJylehm8sfxwqewzgRfI1kYb+Da7JbVLiknLwtrQSGLOXGKvvU7q3XfJrP2oax1b+HxDX9q7iGzHYgifj8gRh1N7wfkEdt9N7ZO\\u002fgungw2Wga7ntdtr+\\u002fNfiZw1yAm5GfePr1Jxzdj7DnIHSNmcBmXKdp5cz0YUQQkopnwROYCCl+bbQi4qf2bSJ1JKlJOa\\u002fTfz1N8msX6\\u002fIIQzllqrnjUOV9M4KhB2NYlRWUv25z1LzpXNUdp5yke46sUjGYvP3f0j0f88WN6OvEJDJYNTWMP7Pf8Q3dlz2dwVN9rOEEP8sV6lelkR3SfPjgKfpi5V9IJFrgXdL+2SS5JKlxF9\\u002fg+Tid0gtW47V2qoMeT4zO4cciip+VxWUTgLTdmPUFZcRPnym2lYOxrqupJ\\u002fNNF58GelVq9RAaxXJcGqayPZ2qj5\\u002fBqO\\u002f++18FngDmAsciTLQUW6SvfTkyYEr\\u002f5sEHgc+QSml+dbQSwZUaVmkV68hOX8BsZdfJvXue9kiB5GIUvGHmneezj8fjyMMg+qzzqT2koucMk9lQHanDcl3lrDx8q8jE0k1vSjGs9UDtGnScPedBHfbDWReFf6Mci3eWI5EN1EPTmeN8TFYc\\u002fNCYdtIKXsUOshsbCTx1jySCxYSnzePzLr1al9bYgQDoB1WhoK01+p8RwfhmYcx5uqr8DU0lBXZO\\u002f\\u002f9H7Zcc53y\\u002fivWcqhpYre3U3XKpxhz7dW9hbLOA2YCaU+ibwN5LO3uonhDA1tJDGG1tpL5cC3xt+aQmDef9Jo1ZDY0qqX9UFANEqZZ3mq+I93t9g6C0\\u002fdk3G03q1JRpSa7pEvSbvnRNXT85\\u002fGipw8TQtBw950E9tjdfb\\u002f6JQngNCHEv8pNqpcV0V1z8\\u002f2A18nNATdU0YuKD5Be8wGpFStJLFhA4q25ZBobsWNxlUwyEs466pSjh57Ph93WRmTWTOpvvhFDLzWWupoMAqu5icbzv0p6\\u002fQZEMFCc59Yl1U9mzLU\\u002fzjVI6unl48DJujXlItnLikAuov8GuBR3Rtfhgq1458lUitTyFcTfeJPU0mUkly8ns2Gjqlpqmmrd3udTQTjl4qHneJDVfOlcRl15RemlOnS1IfbCi2z6zveVIbRYc3Vn7X78H+4iMG1qriORDno5SAjxdjkFvJQN0V3LafXAIsBZxyifNg4IthIjnl67VhH\\u002f1ddILnqHzKZN2G1tXbXRy2bNXghkMkn9z65TQSA9M6oOPpw2bPnpz+l48CEVoluMJTdHqtecdSajvvOt3nzg7xZCfNUjeh64pPlFwB0Mxbl5MSBtJxd9jiU\\u002fkSCxcBGJBQtJvjWH5NLlKpOslBghJ9y2VHN6JyzWrKhg3O9+TWC3aaUnu15y27iJ9V\\u002f6MlZLS9adtxB0ravXMv4vf1K5+bNk1312E3BgOSWnKCei63jzl4BDyMb9jkxowxL0VPGTSTLrNxB75VXir71OauW7WJs2K0kf8GcJNpjqvWEgEwn8E3dm3K9vwzd+fOnJ7qjw7f\\u002f3AE033IRZWakGw0JhKkPkqCu\\u002fRs25X1Tu0D194C8SQtxVLka5siC6S5ofBfyX3FLHHhR68dBLrVhJYv58Ys+9QHL5CuzOToQQyvdbzysHQ9I79e0C06Yx5idXE5i6a2mTWuja7qkUjZdeQXLBQvVMCiW7IZCJJIFdd6HhnrtVKu6eUv1F4GjPGOeCa35+J3Ah5eogUy5wW+Dd0t62Sb33PrHnXyDx1hwSi99Rcec6sYazz4DCMJCxOOaY0Yz61jeoOPYY9XuppLsj1eNvvMXGK75ePMOc4zw07rZbCB8+K3epTaAMyQcKIRaWg\\u002fpecqK7SF4DrATGUi4ur4MJd+frq\\u002fTLU41VJpMkly4j+uRTxF59DWv9BpV8YjCkvGGo5BZSUnXaKdRddokqxlAq\\u002f3hnyW3TN75N9IUXilNJ1zCwo1EqTzie+uuv6y2E9RdCiO+Ug\\u002fpecjK51Pazgb8y0kieTx2XsisjaZ+J4Yro0rA2byH2wotEn3mWxIKFyFQaIxxSmVkGKle6joDr7CS4xx7UXXYx4Vml8Y\\u002fXc+j4nLlsvPxKtVxZKJxYdd\\u002fo0TT84U58Eya470sTfSEwSwgR1QKt8Av3s7mlurCGy+X1AeDTqIc0vNbO8yG3s0uJHY+r5BbBYPd9dVXYvnTQPOmgZDpNcvE7dDzwMLFXXsHu6Bj4GuWmiYzHwTCo\\u002fOQnqLv4QkxtqR7MZBZOBZ9N3\\u002fwu0edfUPdd6D2bqvDDmKt\\u002fSNVnPu2enmhCS2CmEOLNUkv1khLd5e66Iyqmt4GRsKymCWjbxF58idgrr2FtbMSOxhCmD6O6Et\\u002fOEwntszehAw9Qbpwa\\u002fVF\\u002f80j55DtLaL\\u002fvfmLPPtcVTz+gNc4c\\u002f3j\\u002fzjtTc8F5VJ3iOI8NljrvDKyJ+W+z8ZLLlTYDhU1fnCSS4ZmHMe7Xt+Vu1VL9GiHEtaWep5ea6Fqafxa4nxFkhEu8vYCW227vMpgJvx9VikkiM2rgN0JBjDFjiBw+i4rjPk7ogP2zJ+iPNTtPQo34a6\\u002fTdMutZFavGdiyR6CkezIJ6TThw2dRe\\u002fGFBPfYXW0baHVe37dlsfHKbxJ\\u002f5XVEVYH36wzWIhhkwj\\u002f+opYUe1rf3wYOpMTusKUmupbofwfOYrhLc0d6df7r3zTd\\u002fEukbWPW1kA6g9XZqcgOWfJaVldNdSMSIbjv3lSddiqRI2ap3HX6nNB3krgkaWbLFrb86BoSb7xZ\\u002fAwtuXCuqZNZ1Jx1JjXnfylbSHEgya6j2554ki0\\u002fulbFrBe81Kas76O\\u002f+22qTv9MrvougDhKfV9QSqleDnP0SmApsBMjwBAnMxaJN94EAUZdHUZFBXZnJ21\\u002fvIfYy6\\u002f2VKF1mmrLQiYSSCA4fU+qTj2ZiuOOVdZs6D\\u002fhnY5pd3Sw5eqfEHvueUSx3EW3Buee7GiU0AH7M+qKywjuu0\\u002f3qL8Bgh2Ps+Hsc8l8tC4bNNRfOL7+FSccx9gbrldhyj2t71cIIX4tpfQJITKF30HfUTJSuaztx6Oqr2iVfVgTvTe03nEXLXf9ofewSrdRLR4Hy8Y\\u002faSKRE46j8vjj8E+amN23rzXWdI2zaIzN3\\u002f0+sVdfK84S1Lagk1lEo4hwmLpLL6L682d2a1PR4Zy37Z57ab7tdoza2oLVd5nJ4BszmoY\\u002f\\u002fh7fuHHutuugrL8B50DpCj2Ug5p8BOphWIwUktt2j09yyZKtL\\u002ftog5ptqxpylRWk162j9Y672HD+V9hy3fUkFy5U5aYMIxvTLqXqyJbVu+RyrO5GRYT6668jfOghyI6OgXdwcdomKiJgWTT94pds+clPsaPRgV0JACJHHYk5tl6t9xeiPUiJCARIr1tP+v3VuVv1C50JVDvT1JL08ZIQ3VlTtKSUPpRfO4wUkoPqxPrjSDWrqSVLzG1BEz4QwKiuRsbjdDz8CI0XX86Gr1xI271\\u002fITF3HlZzszqnO5nF1tpk2xjV1Yy9\\u002fjqCB+yH7OgcHG82S60IGBUVdDz0CBu\\u002f9g0ymzYPDNkNA2yJf8oUgnvsAclk4dME553F3367x9VQ09EpwDTnt5L081KtV+uccGNR9augPLSLwYdWx1Mp+twHtLQ2zS7Ps+Q7y0jMnY9RVYVvwgTM0aNUqie\\u002fStscmX1k72qxJntdHWNvuoFNV36L5OJ3Bt4ar+9FSozaWhJz57Hpa1cy9pabch1RinUxQBA5ajaxV18rnHlO+rDkvPnq\\u002f90HDm13OhK1hDxyJDrZm90XqGEEGOF6hZbgAT9ZP4t+nMORfCIYwKirAyFIf\\u002fAB8bfm0PHY47T\\u002f\\u002fZ+kli3f9rkcspujRlF\\u002f0w0E9txjcNR4jUwGo6aa5PIVbPrWd7G2NGULXxYLDhHDh8\\u002fErKsrUpy6j8y69crA110z038c0suRg4JSS9EjnO+yiPApJfwNDeqPYqiRlqX82kMhjMpKjMoKJeF3mLB953DI7hs3lrG\\u002f\\u002fAWhAw7A1mQfDD\\u002f1jIVRXU1q6TI2X32tWnuH4pJdSnxjxxI6+EDsWKywghRSIvzK+p5asVL91nPKMU1K6XemrIMu1EpFdP3GDsz5\\u002f8iD03kDe01HZoq48uIy3un85v4pk52N29HPNNnHjmXsL28icvRs7NY25\\u002fDBIHsGUV1N\\u002fJVXab7pFsc5pUjdRCfeFILQfvsVJcWwME3sziip1cog52qp5tiOwC45vw0aBv2CjiHOllKOQRkpYKSq7S6EDz1EOcEUO6LMKQHs22EH\\u002fDvv7Py2nce6DXS\\u002fuJHar16ATKXUgDQYJZksJdnbH36E9n\\u002fcp65ZLOOcM1iFZuyFMaoOmc4UNIBJCfhM0qtWKwnf3aZgA6OBqfrq\\u002fb5QP1EKia6vORXYwfl75BLdmX8GdtuN8CEHq6WlIs6HhWFgx+OEDzukeymlPrZPGAZ1l11M\\u002fXXXYlZXITtjgzNvlxIjHKbld3eQXLCweJZ4h4iBaVPxjRuniF4InFWQ9PvvY8ei7nm6QBEdspb3QddgS0F03csmo8ogZxjJRAdFJJ9JzXnnYoQjai28SOqxzGQwamqoOvmk\\u002fp9EO+vYNhXHH8u439xOcO+9sNvaBj4gxQnhlYkkTTfchNXatv3LkNuCE+gT3G9fsK3C19P9ftJrP8Jubs3dqk+siT7oTjOlILp+Q7uX4NrlCUdKhfbZm9oLL1BSvRgE8vmwOzup+vSpBHbfvfCwUKedgWlTabjzt9R88WylyqfTAyvdbRsRiZBctpzWP\\u002fyxeER3ED5gf6RVINFBecmlUqQ\\u002fWqf+n22jPvGupYpLH3Siu2Jyp5eqDWUJh0Q155xNzXnnYre393\\u002f9WAjwmdgtrYQPO4zaC79SPGI47RShEKO+dSX1P\\u002f8p5qhR2J2dA2uVtyyMyko6HnyY+FtziupM499556zLbyHtd45Nf\\u002fhhjy3O9244RUkG2\\u002fJeKs84H+qmPbjhSPFRX7+CUd+6EsCR7mwfiYRQJZ1sG7uljfBhh1B\\u002f\\u002fXUYkUj2\\u002fMWAXte2LCqO+RgNd\\u002fyG8KGHKFUewBigPmwYkE7TesddyESicMnuPA+zfgz+HXd0nJYKhG2T\\u002fuCD3raOAcYXfpG+Y1CJ7hrFKgHHBDzC5+duuHK51XzxbBru\\u002fC2RQw9BpjPYbW3K2q1V+lw3Wie1kdXaivD7qTn\\u002fS4y79RbM0aPcMdLFbatpgmXhnzSRcbfeQu1XLkBmMshkamBUedtGVFSQXLCQzsefLA7RpcSoqcG34w6K6AV64EnbJr32ox5Xcr4DKNuU+7dBQalcYCcCkRJdu7zhyuga3HsG4373a+Ivv0rs+ReIz51HZsOGbAIJd6ooIfDvvBPhww6l8qQTCezuKEwDQXI3TFMZooIB6i67mOCMvWj+xc2k160fmAg42wa\\u002fn7a\\u002f\\u002fYOKY49RFVgKuEdp2wjTxD9pEsXgnjCU4wwZC3xmrs+nICvRhzXRDVSU2i6M8LDUbULPQYUgfMQswkfMwmppIbNuPelVq7GamrCTSYxAQKmeU6bg33FHjJpqdfxgZlx1aSKR2UcQmLoLTTf8gthLL2fj5YtlI5ASEQqRWb2ajkf\\u002fQ80Xv1AQ0YXT\\u002fXwTd1bFGAvOI6dy21ttbUqbyjJdJ1Vp6Lr0IGKwia5vTq+fD++MMoVCq5EOac26Osy6OoJ7Te\\u002f9mP4moCgUelCxLHwTJjD2lhtpvfP3tP35byp7jGM7KAqkBJ+Pzv88TtUpnypMqjuH+BvGqQw\\u002fffUzyGmXME3saBS7oz132qT7+vCfo7ugb3bkur72BXoe7nZrzffRy2elrGaqVXl\\u002fgLrLL2P0j69SySVS6eK1y4nJT61cSeylV9Rv\\u002fdUYHFL7JkxQtdkKhWEgozHstvbe9mjobcNAYrB7hB4q9c16RO8Lco1wuZ9SlD3KB9egVHXySYy98XrMqkoVnFJMrz+fj87HHs9es79tBczRozCqKgtbT3ece+xYDKu9I\\u002ftbd9Q434PqNDNoRHcs7toyM3qwruuhRHDlugvPmkn9rTdj1o1Sy2LFkOy2jfD7VR35d5ZkA1X629xAAHPcOBUAVMiAaQjsZBKZjAPdJJk+aRhgsLPNDKpEd91clf5pMK\\u002fvoQRwluBCM\\u002fai\\u002fqbrMWpqIF34MhaA8PuxWlqIv\\u002fJq4e00DNU2WZigFagBR8bive0SllL6C7pIP1CKyVwIqCjBdT2UCprs++xN\\u002fdVXgSiOYU46+dri8+ZlbQD9mas7x5hVVYWXVXYCgGyH6KKnLAujYjwGFaUgepgs0T2JPlLgkD18+CzqLr1YJXsoVKo7rripJctIf7S24CYalZUFLwOqowUyGsP5U0P\\u002fFSFL9GGpuuubCuJJ9JEJxzeg+vOfIzL7SGQxQnINA5lMkVy4SP2\\u002fAIluVFcWtrymIQR2MtHb1iAwIlR3HyW4UQ9lAE0g01SllJ0qNQUTy7ZILlys\\u002fi7EI7ZYiT8E2zrPiEg8YTISqqV6yA8d6rrrLlSecAJ2PF4UCZpevVq5nZqFJJIsIv96b0NJpqulJro3Rx+JcIhddcbpqvZcoWvXPh9WSyvW5k3Z3\\u002frTLMdmUJROWeyUYAWiVKq7J9FHMhyHGv\\u002fEnQkdeEA25LS\\u002fp\\u002fP5sNvayGzZUsRGDhiKkYuyzyhVhpmS1Yn2UCZwXHYjR81W9dkLkugmVns7VlNz9rf+oFiehZKtGRltRkgqKYush5yHkQonCCaw+zTMceMKqoEmhPKltzs6gf7b43T++IKVbikxQuHetiaBdKGX6CtKQXT3iFZeExkPgweH1P6JO+Mb36CSPhQSNWYIVWSC\\u002fuvFdmdnwWv76toSEerhE6P7ehxI5fw24PAkuofSwAlpFf4AvrFjC\\u002fJIk8757Jh2Uukj1Z39u4heUNYawFYx86pxPc6VIEv0QUMpiJ5G3ayHkQ4dItrQkM9VtN\\u002fn6+9xdjTaf1tB9mRIl0TPM2QkGeZEd6su0UG8rocyh1FTXRYhtnZHJ4jCc8YZgQBGRDl\\u002fuu5K9\\u002f+YEEKOhCywCcDRsbw5uge1PFawQJeoVFD9PTyTIbNxY2EONzpUNhxRpab1b92hM1KYg5nfvRRET5IlugcPKmtsAfNiIQTYlgozhb6dy9lXxuNYTc25NdP6DtvGiIQxqyp720Mv9g9Pie6oK4YziulRzZPoIxnO27daW5AFEF3aNvh8mJW9kmubyDRuzKZ7LrAtRjiEUdkjQFNzbbPetd8X6QcGW6JrL4KmQb6uh3KEw4HM+sbC1GWn6qpZV9v3453rZjZuhALW8ru1pbISo9ZpS8\\u002fTjQii65trdL5Lb4HxUBo4iSztjk6sTZsKSswoLUtlyB03Tv3QF4OaJvraj4pTwMGyMKqqMCoqckNe9YnX6V0LulAfUSqibyjR9T2UC5x18\\u002fQHa0ivX69SQvdnLd2pUGPW1mCOqXcGkO2XH7pDplatKsg7L3tCiTl2bNffOZexgNU5vw0KSkW0DdvexUNR4U4VbVnqo1NEb+\\u002fx\\u002fTluG0guXIzd0lpYqmUp8U+ciPD7+jZYOHnYSaex1n4Epq\\u002fg+xKGgW+HCc5\\u002fegwaMaDwVDj9wGBHkemnuBo1upnkFq0ZzsgtozRQ13B\\u002fa2xPOmjbBgnSlSBR6Bpr+tsNHV6qz9uXe3Li0qPPPo8IBvrvGefkaAvuu0\\u002ff2+C8i0xTkyohFfAXRnRnOuLfaaceW1B9\\u002fCOgs\\u002f8X6D9KRfRVqNGtaiv7Dg9oSarTHzsdUVqWWsopBuG1hNXXgB7nlckk1uYtWC0tWE3NWM3qYzc3Y7W3Y3dGlQuoLdVc1ZYg1Nq0OXo0\\u002fp12xLfDDvgaxuHbcQfVmXOJv71VYpxy0PE33iC5ZAkiGOw\\u002fwaSEQIDg3jP6dzyQ2bSJzIYNKsNMockhDYPA1F162\\u002fq+ECIDahWqsAv1DaWKC+9AqTB7Mhwleq7kdghhNTWRmDcfa0sTwb1nEJy+Z99LCelzQ\\u002fb8LmLJTAa7vZ3Mho2k3nuX9Ko1ZD5YQ2ZzE3Z7G3Z7B3Z7uyKzaYJhZAecfIOElGDZSCsDGQsRCWPW1+OrH4N\\u002fp53Ufey3L77x47NLSu725Ws\\u002fgG3T\\u002fvf\\u002fQ6Yz\\u002fZ+fGwYyHie4zwz8O+\\u002fU+zW3gdQ7S1WobN9bkIUQkMlgjhqFWV+f2xZdjmkJgLPMPKihqoNKdD2KCSEyUsr3yBJ9eEDKruqcbv\\u002fpxFtziD3\\u002fIskVK6g4+iiqPvtpzFGjtr9TOuSWek6ZQ8TU+6tILV1K6r1VpFetIrVqNdaWLV1zcmlLhGmAz4cwTURlJYZhOGvXMvsGepOqQiCcj7QspQ00NpJYtJjOJ59CBPz4p0whuPcMIjMPI3zE4dnz5d6jo952Pv1fYq+\\u002fjlER6b8UFQKZShE+8EBEMKi0pL4km3TaFn\\u002fzLee4QoJZBDKTwb\\u002fzztnCkj2xzPk2GOSY9EGX6K7RbIX+abDbUFQ481pMJRWFaWK3t5NcvITYCy8SnzuP1HvvEdpvX8ZcezVBXc54W9Aqv6v+uQDIZEh9+CHpZSuIz59Pcsky7C1KJZfJFCIQQAT8SkpC9jh9TqfNfZoTa+8x57\\u002fC5wO\\u002fP3teW5J69z2Si9+h48GHqTj244z+wXez6ZNdpaAxDKxNm2n9zR3qPIWsn2cyGDU1hGfNdH7q+\\u002fzcamkh\\u002ff4qp2Zc\\u002f5qi2yOTKfyTJ6pnn71vieJZhhJZ3KE0qrsezRaX4NrFgVt9dlU8TS5bTuyZ54i98Qbp995HplIIIai78CvUXXJRV4miXg1jXXXPUQOHI53saIzk4sUk3pqjShCtWInV3IwwfUr19pmISASjokJJaXf7BiJ3mfv8DkQgoEIzpaTz0X8j\\u002fH5GX32VIp9rX2lZNN30CzIffaT8wQuU5qGDDiQ4Y68uTWG7YdtgmiSXLFXP0l+YIU6gtKbA1Kndzk92aroRZZvSvw0qSkF0t0EuBQQYKvN0t7HJIWp6zRoSb80h+t9nSS5fjt3ZqYxLpolZX8\\u002fob3+DiuOPy0rofKplnvNazc0kFi0m8fobxN94E2vT5q6MqUY47JQPkt2l9EDf\\u002f9agl9+EwBg1is6nnqLqjNMJ7rlH1jpvGLT+9g5izz5fGMmhS1Wu\\u002fNSJ2WCSPkh06Wg6yYWLsDs6MOvqVIHF\\u002frYlbWHU1hKYNrXrN30p5\\u002ftDIcRHUkqDEUb091Dr6RMpZ6LrzugyVtltbSTmzKXz6f+RXLSYzIbGLnXZrKvDjkYxR9VR\\u002f7OfEtp\\u002f3+5W99zzusoc2+3tJN5eQOyZ50guWULqgw8hk0GEwwjTzNYB16QqRziSVSaSJN9ZSnCP3btsC+1\\u002f+zutf\\u002fyT8horRNNwjHCBaVOJzJrZL4OmcM4Rf\\u002f0NRDhUcCkmmcngG1ePf9ddutroQDdsrv7\\u002fYBvioARE14UWhRAbpZTryBK9vJBnqSixYAHxF14i+sJLZNauVUauYEAVInDmn3Z7B74dd2DszTcoNS6TAbczSL7zzptP7OVXib30MukPPlAZSnwmRiSSlVblTO5c6PLBrS3KRuDz0fqnP9P6m99hhMN0MwD29xKZDFWnnqI0G8vqW8UXZ5BJrlhJauW7iEABy3vgvCML\\u002f667qnfWfeDRfxShEmT\\u002fUarlNQPlMPM2MLNEbeiJPFI2s24d8TffovOJp0itWInd1qYkbCSi3qAmoGkiYzH8kycy9uab8E+aqM6nDU5abdfn\\u002fWgdsZdeIvr0M6RWreo6rxEJ09U3ilCIsGTIWPicpI\\u002fNt9xK+\\u002f0PKpLnzNn7DGduHpg8mcqTT+r73Nx1ntizz6mBuJB1fAcykyF86CHOf3oQPQPM17sWdKF+olRE1zf7InAppVTb8xjWZDpN\\u002fK25xJ55hvgbbyrV3OdDBAIqKkm7kmo4JPeNb8iSXBvdtOXcVBVEEwsWEn38SWKvvqrO61dWcrO2VqmPtrPkNZQhJcLvx47H2Py9HxJ95lmMqqqubQXB8W2v+dIXlVVfP98+tA0h1LLn3HmFF3p0NC6jslIZBbtDr58vRHnFwQgjusZcsga5wYVWh13r0ql33yP+6qtEn36G9OrV2PGEii3e2tzYMJCJBMaoOsbe9HNF8kym27KY3dZG7KWX6XzsCRKLFyNjcYxQSKmdzoDRb0NQOUJKRDhEy2\\u002fvRMbj6vkVQzsxDGQ0SviA\\u002fag44fi+z82hS7NKzJlL6t33ulYK+g0hlNPOjL3yOe1oor8ihIhLKU0hREledKkleiNqme0Asg9lAK\\u002fq8ljTBrCODpILFykSzplLZvNmRCiE8PtVLjMdBJIPhqHWciNh6q\\u002f7CYE99ug2J7e2NNHx+ONE\\u002f\\u002fM4qfdWKWeVUBBRvY3zDgc405WiuJVqOGWS6y652PGmk32KVAO65vKdjz2RXQ0o1PpvWQT2mo4Ih91OO5JsLMdreu\\u002f+X6gwlEyiO6NbXEo5B0V0i4EiunuOrKX3e+8RffY5Ys8+T3rV6mxSP62ab8v45cw1ZSbDmKt\\u002fRPiQg9TvPh\\u002fptWvpePQxoo8\\u002fQaZRqf1GdVW2HcOZ4G4USiI3TBO7rY3aL59HcL99+66yQ9fqR+r9VSTemlOcQciyEOEwkcNnAT2cdgQqycrLeu\\u002fCLtZ\\u002flIToOVkwXwMuJJt9pjjIJbdpYrW0kJg7n6ijQltNTYhgUBnX9DHbS0IhsNvbqbviMipOOA6A1MqVtP\\u002ffA8ReegVr82alnmt3yJFC7oGAYSCjMUL77E3Nl8\\u002frn8qOs4YrBJ2PPY7V3q6mFIW8F8de4NthAqH99nV+6xp8tNY6RwixwVlpKpnxpZRzdP2EXwBagToKXU\\u002fXvtu2M\\u002fd21LTU8pV0Pv008VdeJfXu+wjTQPgDmDU1jgGsj6O6aWK3tFB9xueo\\u002ffJ5pN99j\\u002fb7H6Tzv\\u002f\\u002fDbmtHhILZeelQtpyXAxzHGKOqklHf\\u002f042c0s\\u002fpLkQAmvzFmLPPKecmooQqSbjCcIzZ2Yj8Lo7yhjAQ45Q0ytNJUHJiK6luhBirZRyETCb\\u002fhK9m9eZABPsllZir79O9MmnSby9QHms+f1ZFVrK\\u002fhnAHONLaOahVJ3+GZpvuZXO\\u002fzyG1dqGEYlgVFeqgcaT4EWDTCap++63Ce6xR9\\u002fXzN0Qgo5\\u002fPUp67drs+nshsG1EJEzFEbO6\\u002fk\\u002f3+XkH8KLT1wu7VoEotdVdoB7KE2SJvn3oWhYTyiBjmkjLIr18JZ1PPEH89TdJrV6NMAxEKJRd3in05UqpAjpMP5u+8z3Sq1arHGHVVQ7BPQleNOh5+QXnU3Xqyb27EG8LOoBl82blhx8KFUeax2IE95qubAbObw50UpXXgFWO22tJO0Y5EB3geVSppm23R2rVvLtfePyFl+h85lmS8xcgUwkwfdn5cZFVaGEYJOYqj0ajrs5JseQRvKjwmditbVR96kRqL76wz77s3eA41XT861HSH61Tg3IR3pe0bcJHHK5WACxb9UkFA9W3HxdCWFJKn044USqUmui2M39ZAiwADiI7Gubs6fJaM5XFO\\u002fnOEqJPPEXslVfIrFuvJkWRCMJf2f2YYkPKbBhouajo+dI55SaQyP27xOpkrzBN7LZ2IkfNZvRVP8iGs\\u002faH6A7JMxs30vnIo440L8J9WxZmVRUVx35c\\u002fd\\u002foMTdvA+7Xexd+wcJQUqI7cxefECImpfwfiuj54Vr3jj33AtH\\u002f\\u002fo\\u002fE\\u002fLex4wlEMICoqFDqQRETF24VpSCJ6PqnO7Gd1QJp2SBtJV1sW+V+01YPJ3GE9tITPp8Tg51D+lKT34nnDx92KPXXXZN1aClEmgtB271\\u002fIb1+g5rCFSoAnIGo8qRP4N9px9z22ShB9W8nnqOk1naNUkt0yM5dHga+Tx5pLlMpUsuWEXvpVaL\\u002fe4bM+vVIy8aoiGBUVWaNccMR7qg3y0Jm0k4mVqmI7FigzZoazKpKRDiCEXF88UNBhDBA2shUGplKY8eiKj9cUxNWWxsIJ5WUaaiYbE3+UhDemZNHjp5N\\u002fU+uyXok9pfkzrNJLlxE538eLzxqTsOyMMJhKk\\u002f8ZNbNubtvuw084PzfRPm6lxQlJ7orZG+B89kP7SWnX9SSpTRefCkynlBr3qGQkk6DJb0HE+6sqlIi02lkIqH8qauqVKGCUaPwT56kEjbuuAO+CRMwa2oUuYNBRfBgsHtaJce5R8YT2Ik4dls7VnMz6fdXkVyylNTKlVibNmO1tyu\\u002f\\u002fiIEemw3nDJIdls7laeczJgffDdrMCvEF93pI613\\u002fxEZjSEqK4pghBPIRJLg9D0JHXxQblCNnnYuBZ51pqUlV9uhDIgOXV5ylpTyEdxEdzq8f\\u002fIk\\u002fOPHk9m4qSs4ZFgRXEttKZHJJDKddqSsiW+HHQjOmE5g113xT55EYMqUbN7wbcH9jIRA+P3ZJUanyED4kIPVruk0ySVLSa9aRccjj5JasTKbEmkg4bgRy1SK2gvOo+6yS7LTkUJI7gwSnf95nNhrr6vElcXQ+oSBTKep+vRpavqT30h4rzMdLZlvey7KItmDi+gHoyLags4moV9Yy22\\u002fpvWeP6kor3IxgBUCYSgDjmUhMxYymQAh8O+4I\\u002f5ddyG0776EDtwP\\u002f447ZquEutGbep3b6XoLC80ZBNzHJebOo\\u002fHiy4qzDLU1mCYyGsWormLUlV+j8uRPZdtVSBpsp8+k166l8asXYzW3FJwqCugKYArsuisNv\\u002f9ddlUnmxsOoBmY4XjDDXq2195QFhLdIbmBitmdh4pR10YNACLHHkPHI48g05mCK16WDC5CyWQSmUxihEL4GhoIH3Kwyn+21574xo\\u002fvfpzOLqt9BoToQc5tXnd7fstkkEJg1tdjVFcjY7HuBrtiQavqrW0E996L0T\\u002f4nko5Vaiq7oaUtNx6O5nGjdlw1mKcNpOh6rRTska97mq7D7jfIXnZSHMoE6I7EE4a6H8Cs9DahtMpgtP3JLj\\u002ffsRffBlRLKPKYMEJWZWpFKRSSCkJTJ5EcL99iRxxBKGDD1SZSTTc6auc7z6lMS6gncIwsDs7uzwJi\\u002fqcnSmKjMfBMKj+wpnUXXqxImIhHm9uOOfpuP9BYs+\\u002fWDySCwHJJIEpU6g48RPZ3xS0J1wCuKvwixUf5UR0\\u002fTYeAn4M1KMXhxzLa9WnTyP+0isla2CfoCWulMh4HJnO4BtbT3C\\u002ffaj8xCcIzpiOOWZMdn+9cpCbW26wISWp995HJhLFm6Pre8pksDs6CeyxG3WXXkxE53\\u002fvr8dbLix1ntTKd2m54y4IFdGgaBjY6TTVX\\u002fh8Pn97rX0+JIRY6KjsZSPNoYyI7qypG0KIRinlfcAVaCumI9XDBx9EaP\\u002f9Scybpyyo5eiNpjt1Oo2dSCB8PoLTp1PxsaMJH30k\\u002fp13zu7ryo6qI+xKCmdwij3\\u002ffGFFD91wlp\\u002fs9nbMmhpqL7yAmi+clY31L9bAJlVsutXSypZrr8Pu6CheLLxhYMdiBGfsReXxx+Ua4LSnQhy4zbG0l4Xty42yIXoO\\u002fgR8FWWU65LqIhik6ozTSbz9dvllW9KdNZ3GjsUx68dQeeSRVJ5yEqH99lWdDronvyg1sd1w2pR+732SCxcXprZr8to2dmcnRjhC5UknUnPO2dl0yMWcj+v2I2i++RaSS5YWHoKaAyElNed8EaEry2SJrufmj6PsS6LcpDmUGdFdGWIXSCn\\u002fA5xOjlSPHD2b4N4zSC5aXNzsJf1vdJc1lnQac3wD1Wd9nooTjst2auheVLEQi\\u002fJAwSF69LnnsZqbVQhvX4mi7822sds7EKEgFUcdRc25XyS4795qn4GYnjjz8tY\\u002f3EPnY08qbaFYJDdNZEcn4cNnUXH0bCerTbeYcxOVDu36nDwLZYWyIroDQ6q6vTcDJwN+tFR36prVnPV5Ni0qcaEXnUgymUSmUvh3mULVKSdTedInVV016GZUGxRjWn+ho7taWul8\\u002fElEqI95zg0DBMr7LpnEiISpOPZjVJ12KuGZh6l9Bsr+4JA8+t\\u002f\\u002f0nb3H4q3Xq6RyWBUVlB76YVZHw5XMSoU0e8VQrxdTstpuSg7ojtLbSZKDXoCOA0t1Z0HHT7qSMKHHUr81deUBX4wpbojtWQiCZk0\\u002fl12oerUk6n45Ak9CV5Ko1pf4DindP77P6TXfLBtiZjrvReLIS2V3jl8+CyqTjuV4F57Zvcvtpqu4Rjf4q+9TtNPbwDD7N1voD9w\\u002fO5rzzuX4O675zPACaAFuKVc5+YaZUd0B9JR428BTiEnl5zw+ai54DwS8+YNuuouUymVV3zaVKo\\u002f+xkqPvmJbLlgneJ5qBAcXNK8hY6HH8HYWuYVLZEtSy2RSQmBAKED9idy1GwiR83GN2F89rzau21ASK4keXLRYrb86BrsZLL\\u002f5Zfzwcke458yheovnZNv8NBq+x1CiJXltm6ei7Ikumuu\\u002fqpjgT8L91zdtgntsw8VJxxPx8OPOvHFA\\u002f2MBUgb3\\u002fjxVJ58EtVnnN493r3cjGvbC4eM7f+8n\\u002fQHH2aNWG6nHCehpcxkVGrrqioCu+9GaP\\u002f9qDj+OAK7TVPGO+iuzQyULaJrGe09Nn3\\u002fKuWfPxBefAJGff0yTJ2Wu7s0N1BlxW4ph8QS20JZEt2BnqtfD5wIVJGTaqr2vHOJvfQKdjSq5sAD6URjCOzOOKPOO1dlO4GhKcHd0K6iH32kpHlFBSCVCpxJI5MpZCaNCIYwKiIE9tid8KGHENp\\u002fP4J7z8jG5MPgPQstyZetYPP3foC1cWPxjbJOGGrV5z5L5Mgjc0nuJCbEAH4ohGh2pLlH9P5Az9WFEEuklH8EvkGOVPfttBM1555Nyy23QZGXU3pCVR9pv+9+IkfNxqypHlipNUiQmQwtt\\u002f+WzPr1quxyOgNIzNGjCUzfE\\u002f+kSQRn7EX4wAPwNYzrrrW4l5kGQ5txSJ5YuJDN37sKa\\u002fNmRCRS3PeuCzjuMoW6C7+SL0xWG+AeF0LcX47OMflQ1r3UtVTRgDLONaBHU0d6y3SaxosuJbFwkXIjHcg5u2Fgd3RS+akTqb\\u002fummxHH4pkd6RU\\u002fI032XLtdZj19finTCY4eTL+XXfFt8MEfA0NiFCw53F67j1Y9+1K\\u002fhl\\u002f\\u002fU02\\u002f+hqbK2uD8TgblmMvfVmwocd2ps0b0e5aS9DrZuXtTSHMic6dItsuwT4Le5UU85LSCxcxMZLLs92wAFV4Q1kRwd1l15MzVe+PHAW5UGCtXkzBIJKQ8m7Q858fbDhkqidTz5F8403Y8fjxTW8aRgGdkcHdZdcRO1XL8j3bvXc\\u002fGtCiNvL3QDnRtkTHcAxdgA8CxwFrvJNzstovetuWu64q+geUXkhBDKRYNQ3vk71WWcObcmukS+VVKnvSQe62Datd99D6x\\u002f+qFxzdRx4MWGayPZ2wrNmMe5Xt3SrnadbgxIwzwLHQbekKWWPIdEztSOClPIAVMEHXVvY0Ms4diLJxsuuUCp8RcXAkl0HqySTjPr6FVSffZZu6NAjezHiv4sNl6put7XTdONNdD7xlHqvxVwn1zAMZDKJb\\u002fx4Gu76Lb6Ghnx54EAVGjlCCLG0nJ1j8mFI6JwOyU0hxDzgV2SL13W9DCMSZvT3voNZXQXp9MB2XKcTiGCQ5l\\u002feRvNttyMzGXXNoZYUo9RSOxeuOIDkkqU0XnYFnU88reK\\u002fB4LkzjsTAT9jfnyVInnPrDHayv5Nh+Rlb2XPxZAgugOdGvoG4B0U2dXDdpw4AtOmUnf5ZcrvfKA7ryZ7RQVt9\\u002f6Fzd\\u002f7IVZT8\\u002fBMdTUYcIfp2jZtf\\u002fsHjRdfRmrZcqc4xgA80y4vxwSjvnkloQP2U2v03eflGVRf+5MQ4t6hNC93o4yG8m3DZZg7Enga5QevkuVLVKpjw2DLdT+j48GHi1N2Z3tgKmt8YJddGP397xA6YH\\u002f1+xA31A0aXM8pvWYNzb\\u002f8FbGXXsEIhwZmPq5hmsi2Nmq++hXqLr0on61F24IWoyoJtYIKqR6YBg0chhTRoRvZrwGuxm2Fd0Z8u7OTjVdcqSLcBnq+rmGaSMcaXH3WmdSc+0XlOed2BfXQHS5iyWSSjoceoe0vf8PatAmhM8MMlGbkpJau+vRpjLn6qt5ILlBLaUc7QStDUprD0CS6Dh7woaT6UeRZckuvXkPjRZdgtbYNzFJMPjhTCDsWIzRjL2ovuUitxYKjEpbZfLhUyBn84q+\\u002fQesf\\u002f0Ri3tsYwQAE\\u002fAObVERb2I86krE3XK9SW0NuMgntGHOG4xgzZEkOQ5Do0M0KvyvwKjAWt3usyxlk0ze+7YQfDFJCSS2h4gnwmVSecDw1534R\\u002f+RJdLWt3AxggwXb8TdxCJ569z3a\\u002f3Ef0aeeRiaT2VyAA\\u002fmeTBO7o4PwQQcx9qafY9T28GOHrOD4iRDi6qFOchiiRIduKvypwCOol6OL23WtwXY++m+2\\u002fORn3TO8DAZ0ptPOTnxj66k88ZNUn3kG5jiVT71bAsjhTHp3Rh3nPtMfraPjgQfp\\u002fPdjWC2tGBWRbMWTgYRpYnd2Etp7b8beejNmXa2TSKLb88+gtMV\\u002fAOeg+pM1FOflbgzZHqZVeEey\\u002fwT4EbnzdUc9bLnrblrv\\u002fL0TtMHgWsRNU4W2JhL4d5hAxcmfovKkT+LfYYfsPsPRaNetZr1C6r336XzscTr\\u002f8zhWU7Mytvn9g2dD6eggMGMGY2+5EV99fb7nrkn+LCrpSRyGpvEtF0OW6Bouyf4Q8Gl6IXvzzb+k\\u002fW\\u002f\\u002fQAyG51wudLqpVAoZj+NraKDi4x+j8lMnEdh9N\\u002ffNZDvfUJTytlQrHy5yy0yGxLy36fzXo8TfessheBj8Pmf\\u002fQeCQLtx44AHU3\\u002fAzlX23d5IvAI4TQmweak4xW8MQ7E3doatVSinrUHXW9yGPJV7aNk0\\u002fvZ6Oh\\u002f81eMtuuXARnkQCUVFB6OCDqDzuWMJHHqFUWA3LRldB7Tq23JDrNusiTqZxI7HnXyD6\\u002fAskFyyETEYZvfz+wfMzEEKFF7e1EznyCOqvu3Zbc\\u002fKVwAlCiNXDieQwDIgOPYxzzwM74vaHd+aIMpNhy09+Rue\\u002f\\u002f6M8rUpVNdSdRDEWQ\\u002fj9+MaPJzL7CMKzZhLaZ28VmeWCtCxEKYNLoOt5SSnpKsHsQqaxkcT8t4k9\\u002f6Iqad3airSlGsC0V9tgPW\\u002fnOdntHVSeeAKjr\\u002fpBNroxP8k\\u002fAj4phFg83EgOw4To0E2FPxR4Cqghl+wowjRdfwMdD\\u002f1LeVyViuzgeOsbqgRyJoOMxREVEQKTJxHYY08qZh9OYPp0zNGjuh\\u002fXWwBKvr\\u002f7gq3VSM8zwNjRKFZjI4n5C4i\\u002fNYfUihWkP1yLMAwlvXVu+MHO1KuXORMJas45m7rLL1WJSXon+XrgU0KI+cPBwp4Pw4boAFJKn1PW6RTgPtzFGtUOjm9zhi033EzHAw9l872V2mXVlQtdxuNKahoG5tixqhzV9D0J7L4bgV13xRwzeuvnclRjqd10e9lNAril8zYGCLu9ndSq1aTfX0X6\\u002ffdJLFpM+v1VyvZg26paayiUtTWUAqaJTCZBCOquuIyas85Uv\\u002fcMONIkXwuc6pDcJ4QoeS3zgcCwIjp0k+xnAX\\u002fBmeniJjuAELTccRdtf7hHdc7BWN7ZHghAOFJHSiWZ4gmwLIyaaszqasyGcQR2m0Zg0iR8EydijhmNUV2FEanIDlz9gHSSPtodHap+elMz6fXryaxdS2rFSjLr12N3dGK1tak5dziscsUZrvaWcsD0qRzsvoZxjPrut4nMPrI3vwVteHsf+IxTRmlYSnKNYUd06Eb2i4A79M\\u002fkIXv7P++j+dbbVYFBbSgqJzgGJRCq2qllKUOibavc61Ji1tRijKrFrK7BqKnGiEQQwSAiFEKEQxgVFYhgEJlOZQMuhcrOY7e3I6NR7FgcOx5DdkaxWlqwtjRhR2NgCIQu8WyaKh7cNBFCdF2\\u002f5HBIrBxhDlRRaDvv1FvhRk3yRcBpQohVw53kMHyJLgDTUeO\\u002fispMo0Nbs3N2Z+kt9vwLbPnZDditrcXPQVZMdFngu\\u002f5Rv7kGAOkMAlmHHANMQxEzl5SOxgCAYapKMqYBPp8idG62nq3N4UsFrarbNtWf\\u002fQx1V1yaTRbZ0zdBq+uvAp8XQqwdCSSHYUp0DZdkPw\\u002f4I46XE66667pDpFauZMs115Fcuqy0Fvn+wL0E5wwC+sXqeXjvh4qe+w2Fe9euxp2dmA0N1F1xGZWfOF5ty58CSudhfwA4XwjROVJIDsOc6NDNQPcF4G5UdpqsNR66VDyrqYnmX\\u002fyS6NP\\u002fVVKhqwSPh7KCaXSVf4rMPpJRV34N\\u002f8Sde5uPu9\\u002f1rcC3ncF\\u002f2C2hbQ3DnujQTbJ\\u002fEvgrMIpeJDtS0n7f\\u002fbTedbcqvatLPpW7hBsJ0PED0Si++jHUnPclqs84PWtI7amq6\\u002fl4FLhSCHG323V6sJtfSowIokM3su8L3A9MJdsR9E7qWwiSS5bSdP2NJJcsUT7y5WKVH4nQHoVOGajIx46m7pKL8E+aqLb3XDpzh5muQKnqrzlJRuVw8F3vK0YM0aEb2XcB\\u002fozKza0TDGQt8joxYTxB2z330P6P+5DJFCISHjz\\u002fbA8KrqCgwLRp1F5wHhXHHau25VfV3Zrav4DLhBDrhvMa+fZgRBEdupE9gko0eQHdJYCCSxVMvr2A5l\\u002f9msTbCxCRMMIf8NT5gYR24MlksGMxzPp6qk\\u002f\\u002fjKp3V1PTW9Ye9ztMAVcBt7gSi44Io1tvGHFEh6xvvPP3N4CfAwFy5+2uDiUTCToefJi2f\\u002fyTzPoNym\\u002fa5yvfpbihCtNUBI\\u002fHMauqqPjECVSfdaYytkFvc3G3wW0eaj7+sq70MxJV9VyMSKJDj3j2Y1Br7buRdSnJ9iZX58psaKTtnnvpfOJJ7FhMEd7L\\u002fFoYciS4UV1NZPYR1Jz9BQK7TVP75FfT3VI8CdyGygoTk1KagO2RXGHEEl3DpcqPQy2\\u002ffN7Z1FO6uxIpJBctpv2f\\u002f0f0xZeQsXg2S8pQWIMuF7jj9BMJzJoawrOPoPpzpxPca7raZ9sEB5cUh+w7HbwbKX+MeKJDD1X+fOBasqGu4JbuOfPDxNz5tD\\u002f4IPGXX1XSKBRC+P3l4x5abtDS27IUwVMpfBMmEPnY0VSfdjL+XXdV+\\u002fWeW8+tpjcBNwO3CSESnhTvHR7RHbiXXqSUO6IKRXzB2dw9Hx306IjJhQtpf+Ah4q+\\u002fibVli\\u002fIz1\\u002fXDR7qUdxM2Y2HHohjhCP5dp1B54olEjjwc3w4T1Pbe02O7B10bFZ14jRDiXXWYJ8W3Bo\\u002foOXAvw0gpzwR+DOzhbO6uzkMPwqdWrSb63\\u002f8R+98zpFavUWGggQBGMIiUtpMJdQTAnSQjlcJOpQAwx4wmcvgsIkcdRWTmodmYdcvqLVTW7b4K8ApwvRDiSVDvi2GQvHGg4RE9D3Kkew3wLeByVDIL6I3w0CWJ7LZ2Yq+9RuzZ50gtXU76o3WIgF9FyJlm1gFnuEh6N7FtWwXapFJIy8I3voHAbrsROepIIjNnZjPhQo\\u002fn5oKFk5rD+f87KBvK34UQSV1hd6R5uPUXHtG3ghzpvg\\u002fwQ+AzqM7nJCl3OduoHXtkP82sXUvstTeIPf88qeUrsWMxlcfcrd7rY93f5YrcKDodQZdIIq0MIhTCrKkhuM\\u002fehGcdRmiffbJ57cF5RlJFynWHdH30A1wG\\u002fBr4qxCiUx3uqel9hUf0bcBZhjN0x5JSzga+DZzo2k0X4utO+NykidIm07iJ+JtvkZgzh9TSZaTWfAjSVqmOcuO99TlKTXxHUne1SYfDWhZYNtK2MEeNwj9lMoFpUwntvx\\u002fhgw7EqK3NnmPreewlSoL7XL\\u002fNB+5BFTeMgSI4nrGtX\\u002fCIvp3I9ZOWUh6LIvxRqGKP0FPdVOhFPbU2bSa9Zg3JpUtJLlhEavUa7NbWrgwu+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3xp2gZf8j1en4w6JFABGl+HzbTobnZgO2ze63JN3SUkSvtFT5c1WF0jrnarJTtkF2MiQ4wbQgIsGqldMiopLT5YBp66AsYG8C8vddlbBPjpKKRF0wrFcjNnXJ5Zd6CeRkJpALbK4Ok6QJSoBvQiaaFvO6RyV\\u002ffqp9sG3lNYm1ArAkmteNLCrH\\u002fckK+ua0Yfr4n4gUVyKObYsKRkDToGEKNEmHvo0FOysNftmuWF0oKaoW2GHCsWhiDEp9ieJZYEats+yZ6VeHP4k\\u002fHYY5xCAApe66S7MsrmmTlKANzExXrZISxDUtmvBEp7YMa5DFr2UV3PLrCj7asj2W2baH2FBoQlBp2va8T9eJJdL8Hkil8Oo680rLKAiGyPd6CEcdebGVe2KDeppT13XZp5EQLbNs4laHbfUcaiRm7EOaAH8Yluz6Q8FQIYR9Tqmol59K4wt70OWcrmzITcZvSqqqQrxTHeLmsgAzwib5ukZflxHfQxTgAbxpXvuFskCU\\u002fbapoSd5kSXluCas4N2Hn2XKrOk89czTOGZvg12VCKdhvzds2fena\\u002famcXI7waW9dEZ21GiarhDCRKoEFKehiekIvgaOi15CLBfgcFmn\\u002f284XB6gAKRz3LjOwLCTGtRXCPSAZVFtmmS5XVzcOJ\\u002f727eisc\\u002fL+5u388iqdVRETFyatpuA1AWUhSMkGAY+hxEvU\\u002f1dFyGELc237qJzWjJOrebxakDAlDRPTaQzDpi5HhG2iDsN9rmZKHDqsK0MiqtimTm\\u002feR26ZqvquiZoeHQrIhf1ZGmTDG7cWcnOQASXJphvSh6rCrMiItlpKXQBo70OEjSBFSXzHYkuOkXsrVAL2JuRluhGOHSsGcvJ+HgNHz\\u002f4EqeeeRpSSk4dORxfYhKqIgC6Hnso9v0pZZsigQh4HNA9D84\\u002fQnBxT4POOQqHLpFKoTgaTUwGJmFn+sVCj7EMvDr8CRw2RNeEIALnNEvwirZJCTJs2QkxmhCELUmVadE6KYF727XkmPpZzCsp48GVaykMhnDrWtwDpAvBtkAQt67HJfrvgRWV5rOLS9jk99M7PQ1zr88qNAlH5tWHpTugKmTb3\\u002fuDwpaEBVW2zR71lu\\u002f3IQjQNIElFfUzfTxyZV9GnNSWEqWiqrRAaIIQ8H3IRAOynDpHug3KpSJbE4x0G6QLwRifkxN8Tiyh0DQN3QKtMoScuRr15HSOqWzI9E+\\u002f4YRTTgJsbeaaS66gzB1Ga5KFCkX23rxipLeUTXiloHEanNFJcGkvjV75ArdhRXfX4xHie+BDoAM1yUR1hP8TOByILgDZKiMjATi6e2oqSQ5jtySX2PoKmBaGpnFJ03xG5+eyrqqaB1auYVcwhDPqnQtYku2BACkOgwTDlui\\u002fZ1UZQhCwLN7ZtI1OKUk09noIWdburWqE7dFvmuQj29SR64vRHPr+bW4RdcoV+X\\u002f7IUSFppSKgd3yePaGI+nbOYeRAk72OFBCxE3sGCRQZEoWhEx0pZC6xiXpPj5ukMxFqV62VYapKgwgpSRSWIV8ZgZ9t6fy3oPP8dV3U2jToR0As3+exdEDB\\u002fPenK\\u002fQRh2BRB1Y8xDUhD7CJoRMyEmCU9rDpb11ejQUGJqFUgI4DSF+Bh4Fsqix2Q+Htftfw+HgjNMEWMsLCzs4NdG4dXKiCkuliX3QUxO2Wuo3LU7NrY+hCV7bsIUn1qznltbNSTIMCoIhtgVC9MtIw6GJ3VLY9gcrWgjz4ebt7AyGuKxpPgCK3a9CABEpyfK4aep0sWNVAaJr3v4PHPOKVYYP\\u002fAA0gZQKt9Pg4hHtOXVQcyJS8UBBFSulpDzqIIjltCogIbozOHRBgttBitfJuuIAC7cUsHjlLhas2MHaTeWYCrKzs+nTuzcXjrmQo44Zih41SWbPms0LTz\\u002fLR99OJNAyEe3y\\u002fkhd2I7F3xuPjL0vbIGyoF4CDO8ARzTUmbFe8esOiVI+hLgO1AgU47C99DHpXues+x04HIgeQ6cUp9PVzOcxw1IaBwqfIcBvWZyYU5+AZfH+5u28uG4Td7ZpTkE4hN+yaJ7oI\\u002fI7MuKkUnh0nfVVfj7euoNOKUm0TU6yS1r38eGYnGue5GNmYTXSH65Ryfd1MkvazrjaH659P1GS18\\u002fwcdN53endrj4iGGF2yOLzUDQRLUqmaA47SMWxCS5OS\\u002fFQFYiwfclOrluwlflLNlEeVR7SM+ox4oxhHHv0UIYMHUp2th1BKC4u5pOPPubTDz5myqzpqKZJMKoDesN0LH8IzD+RdBC7RgFELPsnJxnO7Czomqszba1ifYkF5CPEayh1CnATdoptLPW3Lhx3ABwORI8t\\u002fzY5Hg8eXSfwGwS1HdqCgGkyIrcB2wMhphcW88yajZSEI+hC0CopwS5k+Y1FqwsNU0leWr8ZqRQjcrNtqbmfzwoEppTkJfoQheWoyhCkuG2C7PNixX6VVKHZIbAezTO45rzuNM1JZkVFkIgQNHXo3JXkZlLIZGHYwiEgIhWNDJ0KTTBTCBrN3swnk35l\\u002fS6b3d2692BA\\u002f76ccsrJ9O7dGyHsExcXF\\u002fP+++8zadIkvv76a0pLS6F1ClzaC71hGtKysKqCUafiAR\\u002fXbyMu4aNhxpZZ0DhNMG+LwbR1koogwAkI+mBXJD5LTXntgcp4\\u002f6dxOBBdRhNCmuW4XajfabvFyG4qxQWN89gRDPLlTjtJq21SIplOJ6Y8sH0ulcJn6Ly9aSsrKioZUi+TNkmJBCzrAEUzdvFIfZ8Hx7oQ4eowpHvBNNknSwTg3PtrEtF4el7vxqSf3JZwkos1lUFurgohEDyT7OZEj5NWhsYF4QD+sEW+z8V\\u002fkt08uLGUuT+s4t9ztuJLTmHMmDO46MIL6Nmrd\\u002fz4mzdv5ocffuDTTz9l0aJFbNmypebcaV600X2ROliBaJXq70gv\\u002fkOIPb+oE5F+jaFFpsZ3q2HxdhNFGkI8jVJHAf8CNvLf7+rzj8E\\u002fnegCUHf072+Mmz69fqrTEZWmv097FIApFT7D4JKm+dy6ZCUhS9IvMw23rlN1gBp0S0GCofNTUSkTtu0kw+VkRG72b8bdY+Fxn8PAZUrCYTMe894LEjv1NcW9+4c1DSUlef2a4D+pLV\\u002f6wxRYkgEeB9sjEo8ukAIqlCRLE1yd4GSrYdDBH+G1t+Yx9+dNZKdncsGttzL2X1eTmZkFwMqVK5kwYQLff\\u002f8906dPJxyu8Q3o0XCZVBJV4seashKOaVkT6\\u002f+7EDu2P2JviGd2htb1DL5apSjzS4Q4CaU6A2OBCez+pOoQxT+d6ADM2bZNB3weXUMJDmDw7g2FQhNQFjYxpSLX46ZneipBKfdL2FgobX11gJfXb8JUirMa5lDP7aTa3L80r31WIQRuBJURq2ZZ7vWxaPprZkL8FVuSS3J7NKTqxDaU+iMIBEstxVZ\\u002fGE0ThBSMD0Q4x+3A5dA41e1l6uxNPPj2bEpCBmOvuorb7riDrMxMSktKePnll3nrrbf49ddfqaioiJ9L07R4+qxlxRJ6or+ctQk650a1Efn3B7w0YdvuAJ1zIC9F8PVKnV93WEBDNPE5Uj0M3IXdDKPOUVcLhwXRA5GIAJx\\u002fdK1ZCty6RmEozKsbNmEpxci8BqQ4HFTvR5pL7M8Uh8M8uWY9ZZEIg+plMDAznWpz380s9oRSRJvYRRfv\\u002fmRPNNWUeong1BFhCwVktsik+qR2lAZNe48QEFSKnVbN6n6vPEQrn5O+AYsb3pvDtDlbGHDkIJ58\\u002fFE6dupMRXkZ195wE++++y4FO7bFT+lwGFFiS6Tch39LYatLgQjM2wIntLbv4c844P4oYucIRCDFY0v3Juk6X61UhEyBJm5Cqq7ARdiqfJ3dHsVhEYvM8vkkEArEF+ZvLzpbKmtUmxbPrNnA9kCIY+pn0TcjFf\\u002f+SK4Ujmje+hNrNrCpOkBjn5dz8nOijrvfd71CgEThR4JDP8DlCjvslJOEyEpAAVnJbs4\\u002foxOWLsCSqD0+a0mFU8GJGV5Ca0o4954vmbu0nKeeepJpU7+nY6fO3Hv\\u002fA2Q3bMzkt17g0j5NWfDYlVx3Uj8AIhET07TiBTAHxLKdUB60k3r+m4gV\\u002fUQs6NsILjhCkJ2kkMpEcBTwDdADm+SHxRr\\u002fq\\u002finS3QF8NHIkaYYN640aFm2Lr5vJTi+eHVNkKQbrK\\u002f288K6TaysrOKItBRGRwm7L8ZKpXBoGhEpeWbNBpaVV5LqcHBV88YkGQ6Cezjgap+vtgmglB1dD1uSEAqcxv5zSwS2+Hc7EG3ro7aW06d7Huc2z6BXWZBrLcUGU2JEk81aOTSGuQ26JLn55Yf13P\\u002fOfLp2P4JJL71Ax06d+XHGDM67+FK2r1rBA+cezcXH9sKX6IGwScdGWWQleXl84k9UBsNIKQlG9iMMYypJqd+ubGtX37ah\\u002f05bfV\\u002fPBgHVEWiYChf1FExcarB4u4UQLYDvUOoy4B3qnHT\\u002feKIDoN9zjwS2lobNI+ze62q34gwBGJqGQ7d7HlabJhN27eT9TdvxWxYDMtO5uElDDE3YYeA9ji8VOKOdZp5as4G5JWV4dJ3LmjWiic9DlWnFO9fECO7QNJy6jkLtTmQBDk1jmz+A6TLAbdgnOJBUj0jo2ACmrmXdxlK+rwyzy5SEo782AZSioa5xaqKHlz9ZzOtfreKc0efy7DNPkZiYxH+eeIJrr7mOo9rl8f1LN9KofhpBf4Dq8mo7UU0T3DhyIGf268COkgoqAiFOfug9qkPhfbu2hO31Z3sFtK3\\u002fZ7+6Pw0hBLrQEBrIiER4nHBmV2S9JF1+u0qiVAKCt1HkAQ\\u002fGPsb\\u002fKNkPB6Jrym5kuGqLP0CCoUtDaprAXot6NBuuNBxhkz\\u002fM4tJyvt1VSFEoTIbLybmN8hiUlY7EjjPvKZSsaEJMpWny9JoNLCgtx6lpXNY0n+5pyVSbEj3qNY\\u002fVort0nYJQmO3BIFv8AbYHgoSkxKXpZLtdtE1JZF15FVaiC3xOkJL9Mj2aRKIyfNAtlw2zNvHEygLWZydCxEJogpaGRkApvjUMlr41h20\\u002fbuXJp59i7JVXAXDVVWN55pmnufv0Qdx15lFI0wTLwu3zoEJhhKGDJamq9NMgNZG8rBSUadGiQTqLNuxAQ9hprbUR++\\u002fOSluF\\u002fi9J83jzSjOMGQnZz85wQMACJWFAQ0SaRxOfLZMyGAYhHkCpTOD6Wk\\u002f0fy655vAguv3FLdnoD\\u002fDyhi0iwdARCIKWpDQSYVcwyPZAkIKQHS5q4vNyck59eqWnku50ErCsfUaJrGicfFcwxH9Wb2BVZRWOKMn7Z6ZTbVnR8nCFoWm4NMHG6gDfFRSxuLScrYHgvq9YQIqmQ7M0SLZV5wMa+AJUxEL0b0LlLztoMHcTCSM74g9bSCm5KtFDhdPBLe\\u002fNJrTUz5eTJ3DssccRDoc5Y9RoJn38Id\\u002fceR5DB3bCLCrHcDu5\\u002f4PvSXA72VRQRkFFNfecMZgmuRkEqoOoiInTYdAoM4XFG3faKbbW3gU6gN0\\u002fLlZw8zdDExrSiqDMCC2zm3Fqqz60Ss8j0ekmLE02lxUwcdVsZorlqARDEx8vU6rML9HENUiVBoyhJhP4f4rshwPRY1\\u002fY4qBllY3fuiOFWsEqp6aR5nTQ0Ovl2OwsOqYk0cDjwa1phKWMe9f3pa4nGAZrKqt4au1GtvgD+AydS5vk0y8zLRpGs9\\u002fnMXTKwxHe37aTyTsLiETths6pybRJSqSxz0Oqw4GlYEN1NV\\u002fvKmRDlR9yU+zwWYh9C\\u002fSYSq\\u002frYAhUihcaJLFx9mayuuRRlZ9KBwUtnA5ue\\u002fp72ssGvDftC9q1b8+2rVs47ezRbP51LmteuwWXBk+88y0\\u002fr9xMZrKPV6bMJ2zWRJ+mLlnHQ2cPZfSQbvj9QQynwYhe7fhs7gpMS+1f560O1Vy7VH8b4TWhISNB0nwp3HPkuZzf6Wi8hmuv913Xazjjl\\u002f3I1dNeZIfbEOLDpaiCyghCnBvtbnMeEOR\\u002fTI3\\u002fL3pP\\u002flZod911F+PGjZve1Oftc2bDHOnUNN2payQaOskOB8kOBwpFWEoiUtlVafsiOPZ279V1ZhaV8MK6TVSaJqlOB2ObNaZzahLVVk0zCZ+us6y8kufXb2SrP4hDEwytl8mAzHQa+7y4dJ2IlHG\\u002fQaLDYElZBbctXYV5cQ\\u002fIT0XVDk\\u002fFDHpNA5eBUArKgqht5XZTyFV29p4j1cNRl\\u002fTmgkYpPPbkVLJaDeH1114kNSWF6dOnceppZ3FEPSdf3X8Zt733LS9\\u002fOZvCipoqOF2zzQ1Zq3JOAPeceRS3nzGIcCCM0AQf\\u002frSEm976hh2llcQmYewGt4F+dX9UViJKSVTQjJoiHLSQm03yAM3SG\\u002fLhyDvoUr8pABFpxsN9sesyNB1NCGZvWcGxn9xJxc4i1HuLUVvLLDShI9Wn2PPoIvwPSfbDheh61PE81mfoTz7esa3M87q1oLR7GZhSxevK90XuGKLDF5AKPtu2k4+2bMdSikZeL1c2b0TTBF889Kao2QxejG4GvTPSOLlBPVok+rAUhKLnj3njpVJ4HQYTN2zjDbMc7cp+NassJg0dOmgCrTqCtrYYc9lWWFNse5ejiPWlz\\u002fAImjXN4ujTxnLHbTcD8MSTT3LN9TdyzdBO3HXmUB7+bAaPT\\u002fyJkGnh0DW7YWUtcrdokEGKz8224gq2ldjJMvefdRS3jBxItT9EQlYqNzzzKY9OmImha5jWPnihAy3TEZ3y0VpkIb2G3YaqdmONPwlNCLBMMrxJTBn9CB2yGhO2Ijh1x34\\u002fE7ZMnLrB03MmMPabp9AjBtbb82BTqYkmDKT6BDiLmhj7YS\\u002fZDwfVHaJy0Ofjw+pq644vduxKH9O4oao2LRHzhh8okUVGQ2qJhsG2QJC3Nm1hdnEZAL0zUrmwUT7JToNq0+4Lr5TCY+hM3r6LlzdsBqB9chI3tGiCBKrNaFeWqDMwBkMI\\u002fJbFt9sL4JhmKJdht1kyNPA40EyF2FqBtWgrcv4GZAgyfMmYmocyEQFsgiulsKTEU78ZN9z\\u002fNCcdfwwFBQVccvkVfPX5pzw6aihXnNCHQDDEZ7OXEzItDF2LN6hJTfBw3sDOnD2gI40yU9B1DX8wwmdzl3PPRz9Q7g+BtAVyuLSS9btKah7yHnA6nYw45VQWz13A8vcWYmlAz4ZoXfMRuSlYQtn15lLVVKj9IQikGeG2AaOjJDdx6g7KQ9U8N28SH62cSUWwikYp9Tmn\\u002fWDObDcQh2ZgScl5nYbw4sLJLCtaj3buEch35husLzYRYgRKRYBz2HsQxmGJw0WiQ1SqA\\u002f9OcBg3PNiulVXP7dIjB0hljYXC3LqOUoofi0p4f\\u002fN2CkJ215nT8xowLLseYDd8jOl5Pl1n8o4CXl6\\u002fiVSngwYeNysqqhidn8uJOfUI7CMN1q5Zd\\u002fDllh28WLwLcXkfVKoHdA0tZCFW7MKauRY2V6ADPXv04vyLLsDhcnL9tddRXFyMpmmYpi2ERo8ezWOPPUpGRiZTp07lyiuvoHrnZj688Rya1U\\u002fl8pe\\u002f4LlLT8LlcnDx0+P5YOaS+LXce+ZR3H7eMVAVQCrbjNGFQLidLF61mcaZqST63GgOg7KyKo4a9wYL1m2LD6YA4qmxSUlJlJeXUxXwM33qD3z+yXjGf\\u002fQJpf5KyEtAG9AKWmWiXAYqZNqZfr9TwmvCJnmTjDyWXvICLt2WS7uqyzj143uZvW4e1LbTw0FG9zyVl4+\\u002fGqFsNf62aW\\u002fy4PevoScmY1WF4I15sLXMQggdpV7BzqLbc578YYfDRaJDNI0j1e1+pjQYPPfz7Tszr2zWWIWl3IvmMYI7NQ2HrrO2uorPt+5iZpEtudomJTKqUS5tEhOojuZ4x4plvIbG3JJSXl2\\u002fiSyXi5tbNyPP4+beFat5Y+MW6rtd9EjfPbtOAQ4hKA5HmLhpOwxpArkpaAVVsHwXcvoqKA6Rk1GPky4fxdmjRtGzZw80odGzZ08KCwsBkFLSuHFj7rnnHkaNGoVSinvGjeOuu+\\u002fGBSx7\\u002fjqa5mYgTYskj4tJc5Zz\\u002fgl9ePvqETTOSiVsWuwsraRlTjpWIEQwFMEu3BeYSMzyajrmZyPcTkqLy1m1rYhWuZmEzX0nzmiaQNcEG9avp3GTJgwbNoxhw4Zx78MP8s5bb\\u002fPBG2+z4J35kO5EHNkavX0DLI+jRsL\\u002fBuE1IZDhIKe17ofHcGJKC0PTuWXq68xeOxdnQhqmtL8fgUBzenhr\\u002fkQu7Hw0\\u002ffLs7jcnt+zFwz9\\u002fiBUK2912z+kKb8zV2VFpookLkaoEu7b9sM6NP5zSAyWglQaDmzUY90NBsZhbXCp9ht33TWGr6BLbE59gGBSFwry+YTO3LVnFzKISUp0OLmicxx1tmtMywUeVaca7GijA0ARFoTDPr9tMstPBLa2bke\\u002f1IITggsb5+AydF9ZtYnsgiEvTanRCpXAZOuPXb2FHAy96r8aIGeuRT0xFfvorLZJyefjhh5m1aD7PPvssvXv1QhMaF1xwAXPmzAEgKSmJsWPH8tNPPzFq1CjWrFnDUUcdxbh77uHuu+6iZafOPPbZDML+EJrDwYC2jVm1vQgVMYmYkvvPGsKjV53KcV1bUi85AaKhQYQ9d81l6CQk+xC6YMq8lZzz1Hi2lVUhhKAysHeHG4HtyCstK6dn3358\\u002fdVXAFiWRf2selx\\u002f\\u002ffVMm\\u002fszn4wfT59mXVGf\\u002fIL1yDdoC7aiaZqdKKQO3HJKKUDTOSKnZbSfn0ZBdRlfrJmL5vIRkVZcI7FU1B+CYNLqOSzcuY6XF33NSwu\\u002fQiFs52bYhCQ3jOoKmT4dqSyEuBF7lrzF4SX4dsPhRHSIdgtt0qzZq5ZSX7+6YbNeFApbLk2zPemGgUfX2OoP8PrGLfzrl2VM2L4LhxAMz83mwfatODGnPgr2qimPaQAfbdlBaTjMRU0a0jTBS8CyCFoWjbwehmXXoywS4b3N20CAULYTMMFh8FNhCd8UF+HMS8N6bRbyk19om9OC5198gUXLlnDjjTeSl5tLKBRCSsmkSZN46623cDqdXHzxxSxevJgnn3yS7OxsXnvtNXr06MHUqVO57LLLuOvuu\\u002fll0UK2ubOZvWw9yuvC63Jg6BpCEygU\\u002fnAY0x9iY0EpmUk+9CQfHo8Lp2E7HzcXl\\u002fPulPmM+Pf7PDbhR647sQ\\u002fDB3ZiR2ml7XFnd7VdKkXr3CwuGtKdDBHipFOHM+vnn9F1HdM0MU2TBK+P4aeeyszZPzP+s08Z1Lkf8sPFyGemYawpQbgctvNxHz3zhBBY0sLpS6K+L9XecIVge1UxYSuyT1e5pSTS6eWRnz+m64uXcPHn\\u002f+bVeRNrIgVC2GTP8MGZXQQJTg2lJEI8DpyC7Zz7rc5h\\u002f0gcbjuYAtTatWvDHg8X7gqElz65dmPKba2bq4BliYVlFfxQUMS8kjIAGnjcDMpKp29GGvXdbiJSUhUx2XPaqgLcus6Gaj9TC4rom5FGn\\u002fQ0KqNDGxUQUpLB9TKYVlDMz0Ul9M1Io3taMk4F66r8vLZpm91EZs4mGtbP4bqn7ue8884lKdEelGpZFkIIDMNA0zTcbjeWZdG2bVvuv\\u002f9+3G43M2fO5KGHHmLy5Mnk5eUhhOCYY44BYMXyZSxZsYqiFh0RQjB3zVba5GZCrGoXgeE0WL+rlGe+nMPAzbso8weJWJKdpZUUVlSTkejj\\u002fCM7M6xbK3vwQyjC3DVbCEXMqH1uh+Usqbjy2B48et6xuLJSoCLAwBuf5ZIrrmTB3NkYhu0RV0ohpUTTNE49+RROOP4Exo\\u002f\\u002fhHtuv4sVr8yCDvXRj2uLleax1fm96gwUmtDQNT36P0VeUhZeh4vqYNV+DOpoPwDDWSu8X+udmoCgabeqGtlJ8M4CRcRyIngdxSbsYZCHXdjtcJPoENW0AwGOEwLvkrIKOW7JKnHvirX8e+Vafi2r4MisDG5p3YyH2rdiZG4D0p1Oqk3TdrjtJ\\u002fymC5heWIwCTstrsFvxi52lKqnvdtErPQUFfLZ1Jw6hsTMc5rE1GygOBvG43dx4443MWjiPsVddRVJiEqZp2j3Ydd1uq6zrSCkZMmQIt9xyC7\\u002f88gutWrWiefPm9OvXj8mTJzN27FimTJlC165d6devHxUVFYwefS4b1qwiNyudLeu2MmPZBo7u0hzLH0TXtPg9hU2TDYUlhCVkJvnomF+fK4\\u002ftyXMXncC9Fw5jWI+2zF2zlYqqAEKIuBOvdivp47u25OmrhvPrxh2cfddrfLVgJa+MHcmSxYtYuHBR3FEnhEDXdVs6WxYOw+CM089g1oJ53H\\u002f\\u002f\\u002faSs82P9+3u0OVvsNNxa0t3uS28QrC5nR2UxSikilkm6J5ERrfshg9U4hL7P7yvmg4mp9XtBE3bnmtZZiJPaagIkQiQDbwOZ0UMcVtw4rG6GmhE+\\u002fYAnlMKpGRorgtVsqarmpjbNeOOITlzWNJ+eaak4NY2q3yB47KDVpmRGYTG90lNp6HUTsuRuD09E+8cPzMrAIQSrq6r4aPsuHly6im3Vfo4eOpQZP\\u002f7Iww8\\u002fTIPsbCzLLgU1DGOvqIAQAikl9913H3fffTcNGzYkJyeHiy66iJ9\\u002f\\u002fpknn3ySVStXooDk5GRmzZrF\\u002fAULSPJ5SHAZXPTMZ5zcow31ow44IaKSOBDm8mN6EI5YzF+7hSEdmtKnRxuyMpMRXjcr1mzlqhcmUFoVIDElkbkrN\\u002fHjyk329UVjc0keF89efAITf\\u002fyVAXe8xnszfmXttiLyMpJJcuks\\u002fuXXfT5DPRrZsCyL5KQkbr31Vn6aP5sTjzsBOf4X1Guz0EsC9iDH6AAJIQRIk2mblkS1LDsP4O4BoziydV\\u002fC1aXISAi71OGPrhSBHrJQ3Rqg+jXWovZ6G+A5Dq9oFHB4ET0WIqkPvIYmvICUx7TU9At6Ir0Oftiyi3LLwqFpVJgm5m8QHGJOOI0N1X5KwhEGZ2VEVca9JUVISpom+BhcLxNN03h3w2bK3V6eefppJk3+gm7duiGl3dDBnk2+7zMLIeLdXe666y5mz57NnDlzeOmll+jVqxeWZXHnuHtISbLV\\u002fhUrVqAJQYLLyemPfojLMLjhlH6EqgJxTVgIgRmK0LN1Po+ffyy\\u002fbtxJ39te4eVPp\\u002fP9\\u002fFXc8PIk\\u002fvXKZE7p0Zqju7ZAmCbPfDWHqkDYNmOi6b7XntiH8uogZzz2AVIpXr3yFK46pR87SisJmMouLKGmRHfP+6pN+DatWjNh0kReevklMgvAeuQH9EXbEW4HaLY5g8vLu0u+Y0dVCYZmazsZniQmnn43T5x4HR1zWpHg9CD4ff33489XaFihanI96biP74BokaGjlIUmRgC3wO\\u002fq9P2PweFCdEHNvTyFEM2QyqJTjkafxlhN0pEX9GBuItw+fykzCorxGjoeXY974\\u002fcHqRRuTWNhWRnZbhdNE7yErZq+cAo7Ru4QggTDYGsgQEHQdqgdPWQIM6dP44orr8QRtVs1TYv\\u002f\\u002fB5YloXT6UTX9XgPtwcffIANyxYxb+EiNm7YgBkOI5Vie0k5bpeD1646FSklDkPH7XLGHdtCEwSDYTo0yub7+y7k2YtPoKi8mk\\u002fnLMeta7x2xSkM6tQMqRRTF6\\u002fl\\u002fZm\\u002fxmPnllRkJHk5sXtLRj89nkDYZGSvtow5rhdELBau30HEkjRraqenHrBvXpTwsU3vogsv4sd5szhywECs9xbCZ0sREpRDQ0OnsKKQiyc\\u002fSdCMYOg6Ycskwenh6h6nsPiiZxnZZgAqWB235Q8ETdj99mSwmuPaDmDWuf\\u002fhnoHnoIY1Q0tP0JBKIsTd2OOgYrPf\\u002fvE4LG4C+z5M4FIEI1HKIjtR58Q2thgKRFA5yWgX9aKoZy7\\u002f2bCRfy9ZzarKKlyGjtcwiGmnVtSui2VPCMBCsbqymnyflzSng5C04r0XnJpGosOgLGIyfvtObvxlOQurqrn\\u002f\\u002fvv5+ttv6dCxI\\u002fPnz+eCCy6gQYMGJCQk0LRpUx544AEikchvdnKpLQGdTieffD6Rtd+NZ9YjV1JVuIMOnbtw693jABg9oBPf3HEu6SkJ7Cip5IibXuTpL37G5XVhyVi2niAYjhAMhOjdJp9bRg3h2auGc++YYdRPTSQQDBMKRbjp7W8xozn9sXD38J5t+WbRWhZv2IGuCRrXS8MMhbGk4smJM8nIqk\\u002fXrl2BAxM9\\u002fqVFNzzLsmjZvAXffv8dd951F\\u002fqsTajX56BXhJFODc1w88XyGYz46B62VhThjCbOWEpiSovyUDUILdpz5ADPUtORYT8JDiePHHclX5wxjtzkTP7V5SQG9xqMPK6J0HUDUAa2Cp\\u002fKYWKvHw5e95hd3g4hHkagcGiCk9qBz2U7XXQ7rCIdOuKU9qj2DZjz3SoWLF1FV28CA3OyaJOWhE\\u002fXcWoallSYSmIqO4W1JBShLGzSOz0Vl6aT5LT1upBlsa6qmumFJcwrLqUwHMabmMhXH3zAMccdx4wZM3jjjTdYt24dHTp04NZbbwXg\\u002fvvv57bbbmP48OG0bNky7pk+4E1qGkUlZTz\\u002f6AO8dc4gdlaFCURM3FIysmdrRvbpwDGdmyOlIuAPkpuZwhl92jH21ck0SE1k+KAu+Muqoqq8ba74\\u002fSFUddAmZTRZwJvo5cEPvmf+um1x55vtzFMMaNuY3PQkctOT2VpcTv0UH0aSj3cn\\u002fcyMlZu57977SElN\\u002fV33Uxsx6W7oOuPuvptOnTtx8XkXUPTkD+jn98LKT0ELuZm8cia9CtZzefeTOKfDIHITM0BAob\\u002fcJvp+eK5Fd3HLX0G3\\u002fPY8N+xqujdoAShMaTsJnx90Kb12raNkS6Umpm2wlBCtUOox7NLWf7zN\\u002fo+\\u002fAWrG6k5FiH4oZTG0hS6GtEQPmJii1revon84DTSpkGuL4OcNsKGUzJCiU2oSzZITyfa6SXU5SXAYJDocbAn4uXPpai5t3JBUh4Od\\u002fgCbKv0sKa9gcyRsD1PUBEPbNqYYDz8vWIyuCW6++WZ++eUXvvjiC5xOZ\\u002fwyLr30Ul577TW2b99ORkbGfoc9KKVsb3MkgsPh4MlnnsP962QuO\\u002f8kTvjXkyS6nTxzyQmkJXhB06iuDhALSSml8CZ5GfP4R3w6ezmf3HAmR3VvGZv6YGs6UiFNk1C0ZZTH6+GnZes55t43CYWjsw4FWJZE1zRm3HcBvTs1Z+OmnXw2dwWn9m5HOGzS95aXSMpqwPx5c0lKTgZ+n0Tf1\\u002f1aloVhGCxYtIizRp7G6nVr0Ud1xeqYjRa0kFYYpIXPl0L\\u002fhu3pWr8Zr\\u002f\\u002fyLdvKdiEMx14akq7pWBG7KvXKHifzwKAxJDo9WNKuGNQQWEgMofPWku85d\\u002fz9GO8swVpXZCk7TfYM7EGP\\u002f+iQ2z9dosfSFv8VJ3nzDJ2BzVCBMGbYDy4futCwVKwlcVS6C4FomYlokYncWUnh+iKmrCxgyvadGKYiSYJHgRNB2JRUKZMX12zEr4OpKchIgFZpsGwXTqHx7EUncOGJvbj2lSlsLyiiUU59MjIyyM7Oxul0EonY1WeaprF06VK6dOlCRkZG\\u002fEaklHHCx6RhzGHnctn53K++8jL\\u002f6pLGN5N+IBwM8tzY4ST73FT5g2hC2P3fdB1irZl1nUaZKZT7g5z+2AfUT0mkZU4GzbPTaZ6dTpu8TFrlZJKWkoA0LXaVVHDJCxOo2iMTTtcEbfIyyUzyIf1BGqQlcc3pg9i8uYBT\\u002f\\u002f2+3bji4WtJTknBsqx4D\\u002fg\\u002filgegWVZdO3cmR\\u002fnzGLUGWcx5Z0p6IEOWD3z0QKAAdUhP1+t+JGvlv4ATi\\u002foxm4kj+VCWMFKGqTl8p+hl3JaG7sBpqXkbva8gY4pLc5pN4jvty7hrYIK9LerhFUdVAgeQjED2MU\\u002fmOz\\u002fZKLHVPY2CHEHSknchiaObwNKkuDwcGL7QXy4fAZmsArN5QNUvFINQIVM21dbPxHRIAnRuzEETcyiKkpK\\u002fXZlWdiypZ9Dp8LtgEQnWnYywu1AvLsQ05KMGzWUC4f1gpBJo1Qv5WUlkFOfrMxMZpWXAzWL2DRNli5dyk033YRpmliWhcvl2ksCBoNBdu3axcaNG9myZQtFRUU0aZTP6ozm+Bs0olmvBNZt3UnX7m1JcBgQthg\\u002f\\u002fRemLllPdTiCyzAoqqjmy4WrueeMwQzq0IRPfl5GUWU1a3YUMX\\u002fdNtbvLMHpMDirXwduHjmQ5Zt3UVIZoGOjbIRQhE2LRLeL24YPoFfLPLwuJ5HoOOqCHSWc\\u002ftiHLN20k969enHGmWf+YZV9f9B1HcuyyErPYPxnn3LuOaP5bPxnaBGF7NcIAmGE0BBOr03maL1\\u002ffGEIDWmZWGaIYW0G8PQxl9M4pT6WqhmlDbC0cBMPzXyfe488n8Yp9ZAo\\u002fjNgDLN2rGTNhnJN+3qtJYVoBOpu4BL+wV74fzLRY2noDyNIQSE5spnQclKwiou46bhzua3vGVzW9Xju+fEdvl05CzQd3em2p43UzsIKmzWlS4ZA5CRDw1R7WEKsH5xSiGghhqwOo70+B2t9CS1yM7j4qK6E\\u002fQEcTgfJLp3VK1bQoU1rGubnEwqFdlPNly5dSkpKCmeeeSaGYWAYBpFIhDVr1rBx40Z27dpFSUkJhYWF+Hw+8vLySEhIICcnh7FXX83OohISPW4kcPVzj3BjVZii8ipe\\u002fW4+63aWMvbE3iS7nBRX+mlWP5Vbhg+gW7Mc0DX6dGlhTzqNWASDYaQuuPf9qdz94VQq\\u002fUEeOO9Y5j9yGW6HER8d5TR0khI8WBETK9qwQ3c5ePS9mcxetZnGjfJ5++23SU5O3q8J8mcQs9sTExL4ePwnXHDBGN58401000Qe2QzlD6M0uY\\u002fsWYEM+\\u002fG5Erhn6CVc0\\u002fMUBMLW6ABLSgxNZ9721Qx591bKizYTsCw+Gn4LlpSkeZN4cfDlDN2+GbmqRBMbSqTSxAVI9THwHf\\u002fQ4pd\\u002fKtFjD\\u002ftUNDEMqSzyU3WtbxOsykqGtjuSa3uegilN+uS14ZuzHuCDZdO4Z8a7rNi+ChwedMOw1WXYPe1S2f3ZiA5LiEMqlKEhTIX21ly8m6tQKal0ya9HWkYK1eVVOD1u3Jpkwfz5jBwxnI4dO1JaWsrWrVvJyclBSsmGDRsoLi7mjTfeIC0tjSVLlhAMBsnKyooPTPB6vSQnJxMIBJg1axaaEDjdbr7+YhIdUxTfLN5ARXSpXfHiRHq2yMXQNV645AROHtodqqO91hVgWoRCYaQi7nhTSuL1edhaUMqKbQU0zExh\\u002fvodOIH6KQnxDlYi2g8vEIulYxO\\u002frLyaz2Yvxevz8cabb9GkadO\\u002fpLLvD5qm2VqCELz26ms4DQcvv\\u002fIKhtOB2ScfAuHdvjuBQJMWnXJa8+zxV9OjQcvoV6ei0QMtmg8gaZ6WQ9fsZkytLuXTpVN5Lr89V3U\\u002fkbA0OTK\\u002fA7cPHs3dm3YI\\u002fe1KZYVNHXgE6MM\\u002ftA3VP5HoAttOSgIeQClbFxvaEgwdgtC5fhM80TrliGWiaxpntB3Isc2O4PHZ43lm7ueUVBSBy1tjv+92hj0aJCgVH7SgfbIYa0Mp\\u002f3nlJZasXEfRTxPAYdjfuiVplZvFcxNnEAwG4zb6G2+8wR133AFA48aNiUQijBs3Ln741q1b07VrV5KSkkhOTiY9PT3+2fz8fNLT00lKSqK6soJrWjt4\\u002frps7nr7a96YupBAOMIpPdpw1uCuoBRVO0vRNBHvgiOE7XXWo\\u002f6JiCXx+Txs2F7MmGfGc+VxPXn50kZsKalAKghFrD2qR+1S1NhjiD2fqqpqLrv8X\\u002fTv3x\\u002fTNDGMv2cpxcguhOCFl18iGA7z9ltvoTs0rCNy4\\u002f3kYz3lWtZvxg\\u002fnPUai04MpLXRNi25Sgq\\u002fWzScnMZ0OWY1Jcft47YRr6P7K1RRVFnLb1Nfp37A9Hes1JiItbux6ClM2LeKnZbs0bdYOS2qiE1JdCDzFP1Cq\\u002fxO97rGHfBuauA+pJN3yNEZ2hFDEllhWhCHNjuD+I8+LhlEgZEVwRdsPrSndzrhpb\\u002fHh0mmYkRCay0vcft8fDA3j8+WYczZy40038fBDD\\u002fHpxEncO\\u002fZCfnzoUlzRFlS6rtPv5ue58bEXOeXE41m0aBFjxoxhyJAheDweNmzYgFKK5s2b07ZtWxo1ahQneEZGxgFt3LvuuZ\\u002fq2Z\\u002fz6LVnQVWA+Wu2cs9HPzBp\\u002fkqO7tych0cNpWPLPAhFCIQju2Xf2QUmCm+Sj1Ubd3DpCxO48rieDB\\u002fQCdMfxNB1QhHzgAtCKoXL6WDV1gL63PEGC3\\u002f5lYYNG6KUOii2+YEQ03YikQhnnHkGn3\\u002f2Ofp5R2C1yYJABBENAbqB10+9hdPa9LedbtH4+j0z3uOBqa\\u002fSIa8dM897DF1oGJrOR8tncPon94E06Z3fie9GPYRD19GExoaKXQx84Wq2PTRBUh4SCrENpXoCO2KX9bfe9EHEP43osTTXBgixGFQ6Xqfi8j4aqR7b\\u002fow6W2TIj9OdwLU9h3Nzn9NIdvniNcuOqMf1u\\u002fWLuGf62\\u002fy4YRHoOrqjJrEkjuikFOP7tZjfrOSiiy\\u002fipRdfwrIsIpEIzVq24p7jOjDmhH5UlVaQkJbIcx9N5ZXl5SyY9RNC09i+fTvz5s2jYcOGNG\\u002fenISEhD3vKw7TNOPkjBFVSomu6yxdvoKThh7J97edRW69dHQUQtP4av5Kbn5nCks37+KiId246ZR+NM7NAtMkFLJbULmcBrhdfDt7KQ98PJ1bRw5k6BGt8Ff40TX7sf6WfW1ZEk9KApc\\u002f\\u002fh4L\\u002fAn8NH0qejR55WDZ5gdCzNlXUVnJsUOG8vOC2eiX98dqkAghE03XkGaI9IQMFlz4FPnJ9bCi2sCI8ffx2S\\u002ffgaZz1+Ax3N1\\u002fFBHLxKEbXP7Vszw\\u002f6xMQcOOAc3h40BgAVhVt4dRJD7J84jS0z1dY0g63PQ5cxz\\u002fMA\\u002f9PJLoEHkeIa1DK4uiWOke1AH94t44luqbZsdJwgDYNWnLvwHM5tVUfAExpRb2vGiHL5LVFX\\u002fHwrE\\u002fYtGs9uHw1dp9U4HWgL96J9e58jj7mGCZ8\\u002fjkOh8NO8DAM3nrnXa69+Hx+eeoaslITkZaFEoJe1z7FcReM5f6779xrRlQsPl57ZFNtcu8LsUV+2VVX8+vk9\\u002fnx8WuQlkkwFCEhwUMoGOLl7xZw1\\u002fvfU+4Pct2JfbnwqK40z8kAqVizs4Tnv5nLL+t38Oj5x9C5RUMClX703zk3TUqF0+Vg9bZiOv\\u002frP3TveyQzpk0FbCm7r+KcvwOx57B1+1aO7DuAtWXb0S7vj\\u002fTpYEo0XUcGqxnaui9fnXFvvOf+zupSur1yFTvKduJwuJl6ziP0zmuNKS2qwkEGvHU9v25dge7yMX7k7RRWl3PNN89TFaxCGC7UK7MVm0pBiEB0TPNq\\u002fkG2+j+J6DFp3hwhFqKUlzQvXN5bCI8TLcqmWImKiqaxakJghu1EkpEdBnPPgNG0Ss+L5rjbqh3AjqoSnpo7gf\\u002fM\\u002fZxQJIRAoJw62rYK5As\\u002f0bJJc2b+9BMZ6elxm9FWWQXHnzISz9Zf+Pjui\\u002fBXVOH1uFm4bitDxr3Jc6+9xekjhhMOh+NlqH82mUQpRTAY5PiTT0Fu\\u002fIXxd1xIekYKgXI7483tc1NUXMGzX83hP5N+wpKKzo2z0TTBxoIyhnRoyiPnH0tKohd\\u002fdRDjd5I83lvP7WTEQ+8xfvYyErxuhp92Nv9+5N9kZaQBdl5+rBjn70TM8Td\\u002f4QKG9D+SihwnnN8TadqTaXVNwwpW8dBxV3JTr5HxrrDvLJ3KOeMfAKXoktuGaaMfxq27MHSNJQWbOPLN6ynxl+F2+QiGA6AUmmYg3YY9UPLtBRYKHdRLqHi47R9hq\\u002f+Tcnhju+e\\u002fAB8g6dtIkOJBhcNYwUosfyWmvwLTX44VrEJGgphmBMPpwetJYvzyHxn2wZ18tGwGSklsq04RkSbZCWlc2f1EEgwHQkq7aWPQRH3yC4lOL+++\\u002fx4Z6el7LWal4LUXnmVuQZipc5bgTfBS7Q\\u002fSpWUj3rt6OFdeNIbHn3wap9OJYRi7SfI\\u002fdPNRqe\\u002f1evnmi0nk9Tme7tc+zesTpqGhcCf6wFSkJ3q568zBrHvuWv5z\\u002fnG0z6\\u002fH4A5NmXTLKF6+egSJLidBf+h3k1xKu3mEO9HLkxN+YvzsZZx3QlveuW8ogS3fcdpJR\\u002fHK628TiVh\\u002fehP7o4jF2bt16coTzz2NXF0MU1aBy25PpVDoTg\\u002f3\\u002fvAmc7atxKkbRKTJqHaDGN72SFCShZuXcu+P7+PQ7ak+uqaR5klACJ2gGUboBsJwIAV2GnXLLGiSbocsEKcDbagZA3DI458i0WMqexOEWIBSyWQmoF3ZRyhl0jKrMbf3Owuv4cJlOHAbThy6gSE0dM12uhiajkt3xJsJtkzPtaUyNbXPx394N18vn47u9GE5NfTxS7HmbuKNN9\\u002fk3NGj9xlCir321bff8eztY\\u002fnilrMJREysiEVCso\\u002fZS9Zx5uMfkNasA\\u002f\\u002f594P072dnZ\\u002f3ZmHPta\\u002fh+2nTuvWccqmgr\\u002fZukMaxLCzo2y8eTlGDPVHMY4HTYAxVCEYLhSLwlU23YmcE11yNVbDCkwuVwoLkcvPrVbC57cRLH9Mnn1guOwB80SfS6WLe5kC9nrqdCNGTEmeczbNgwkpOT9yrDjXWbAQ6a1I95+8eOvZqnn34KfcwRWK1s55xm6MhQgE65rfnxvEfx6HZS0oaynfR6bSxFVaUI3cHXZz1Agb+MK754gvJQNcJw2iHW2hq5UvYmsrIQ3phngdJRvAxczD\\u002fEVv+nED2mIj2GENeilCVOaquLvk2RZWW8c\\u002fpdnN1+0F86wauLv+bCTx9Gc7iRbgN94XasDxZywYUX8MrLr2Ca5l4Sq7aN\\u002fcn4TznznNHcP7w3N549FFkdxLQsnF43JaWVXPPS57w1cxkXX3oZTzz+GB6P5w+TPfb+ktIyZsyYSbeuHcnNzWP56jV88823bFm7kvDWlXSu7+P0Ph1ISPIRrA4gpULX9l\\u002f\\u002frgmBYWgEQqZtAjgddq95JdhWWMpDn07nmS\\u002fnoGmCkwc2ZczJ7fC6DEIRC4\\u002fLgc\\u002fjYMGyrVz64HRuv\\u002f0O7r33nvjzAuLOxNo4GFl0Me0oEAoysHc\\u002f5q9dgnbNkUi3PTRS1w2sQCVX9T2Tp46+ND744b2l0zjn0\\u002fuRQsPr9OIPB0CaCMN5YG1L1+CNeYrVhaCJaqTqAqzhH0D2fwLRY9dYDyGWgMog3af0y\\u002foISzfp3agTU0c9ZCdL1JYiCjaU7yQQCeNzuLGUJGzZISfTskDYTjmlFIX+cs6b9DgFZYUItxPKQ8inptMqryk\\u002fzZpFakrKXiGkmITSdZ0bbr2Dlx9\\u002fiHOP6s7Hs5Zx+dHduXDoETg1gRCQ7PWgpSTw\\u002fc9LOfmeVxlwzPGM\\u002f\\u002fhjHE7nARtQ1IbdRUWwZes2zj17JOvWLKekUtK4aUsuuvB8Tj7pBBo2bMjsBYvo1a0L+ZkpXDC4K1cP64XHtf8Z7LquUVhexRs\\u002fLObm4QNAwJrthSzfXMgX81byyazllPkDu32mR7v63HNZbzRNYJqSpEQ3T783n+nLQsyc8QN+v5927drtda6lS5dSXl5Op06d8Pl8B4XsMQ1n4eJF9O3Rm1CrNDi7KzIUtvPdEUgrwqdnjOPklr0BeG7BF1z55bPRUU7Rvv9iH+OmotCEQCiwnBos3wVvzrewhc9D2E0qDnlb\\u002fZ+QMKNj15qPApWBwqJrrq6S3VBWwZBGneLxcStqd4PdZKGguoxbp77B\\u002fO0r0TTDrmRSkrAZidrmlk0gGR1LohsgBOLLFRh+i2eef460\\u002fZRdxkh+73338+ukt5n7n6swTcmXC1Zxx\\u002fvf88jnM0lP8pLksTuyHtu5BXdcMIxPbx\\u002fD0Ltf4+133uHCCy\\u002f8QxllQgiefeLfDG7l59rhg\\u002fh1zS4WrdjBvbddydVjr6R37z4kJadyXOfmnDe4C2u3lxCMmPjcjvhIqtowpcSZ4OGp979n8oJVtM7N4KUv5\\u002fLDso0ELLuirVnDFPo0rE+iz0lKkotVG0v5Yd4WPvthLaOPb0MoYrFifTEffLuG1157nSZNmnD11VeTlJTELbfcwrZt25g8eTJvv\\u002f02v\\u002fzyCxkZGeTl5fHSSy\\u002fRuXPnv5w2G7PXu3TqzLj77+XGG25Aa58NHbNRgQhSt+PoY795gQaJ6by48EtemzsR4XRFE4qidez7eD624NCwIiGwwqA80CwDGqYINpeBEKNR6lGgmENcqh\\u002fqEj3mgPMC84DWeJ2SsX10Et0IqXBqOsNb9eWO\\u002fmfTKiMPIJ4RJRBUhgM8O38ST8\\u002f5lO3FW8HpRdMdSGURu327N5lEuQ30Jbuw3p7P5ZdfzrPPPrtPT3KM+I89\\u002fhjXX3c9k28bzaQFq3jh6zm0yskkNz2JVJ+bBmlJNEhLwu3U6Zhfn96t8pEIcs67j+4Dh\\u002fLV5Em\\u002fa6HH3rN9RyHXX3wcV57amGAEUtwGmhBUBU127qpg8apt\\u002fLKhkM3bYO5Dl+JKSSBSURVPaa0NU0o8LiertxfR99aXKIoOYNRSXHRrlsnpXfPo0CoLw+NA6bZkzEhx8+E3q7j3lTncflEPju3VCEsJrn7oG5JyuzJt6hQsy6K4uJgzzjiDadOmxaVkr169uOqqqxg+fDivvfYajz32GLNmzSI9Pf0vJ9zEVHhLWvTv25\\u002fZyxegXTsI6dSiAx9tDjp1B+FgNcLhOmBMTNfsMl9phsEMUy81m9PbDuS4pt25cvrLrJs0HTFhtZQCDaXGAk9ziEv1Q53osZDaSWjiM6SS9MrXOLmd3R5YCHsnDgfISMrg8u4ncV3vESQ5vXa3mOhkD4BtVcU8\\u002fvMnvLhwMtX+CjSXN+5winZDRrNAPTmdRon1mLdwAWmpqQD7JPlLL7\\u002fM5ZdeQl5GKsWVfkzL4u2rhjOgfWMSPS5ciV6ilSH2LZh2IYnb5aTpRQ\\u002fjrt+IJb8s+l0LPO7w+3oKX711C8MHN8EMW\\u002fwcMtliKbq7DaaZil4+F0NTPVz7zHRaJeTw6OUnUF1WHU0viO2Z9t8Ow8Bw6Awb9yZfLlpNu0ZpDB7UjE8bp5GS7KYFgsKwyXluB411gd+SJPucPP\\u002fRL0yasZ6PHzmeBI+TmYu3cdOTPzJr1s\\u002f07Nkrfq2mafLTTz8RCoXIzc2lTZs2u93TiBEjkFLy6aefHlQVftbsWQzq1Z9w7xzUKR1Q0Xx4ga2ma5qO3Eczybiaj0KF\\u002fKBptKrfjAs7DmV4m340SrZHc9027U0emPwi+htLLauoUouGentSQ\\u002fJDMq7+TwgNKOA8lFI4dEXHBjWvAgiB7kmkKFDJPd+\\u002fSu9Xx\\u002fLB8ukI7NlbprSISIuchHQeG3oJU0c\\u002fyqkdBiMts6Z7qIx6VWesR5UEuO\\u002fBB0hPS4vHy+MXEpU827Zt5ZrrrueO4f346aGLiVgm5wzoxPBjupPidQPgL6vCX1pJoLKaQGWAYDAc31W9bifV\\u002fmpktG78t8Jtsd9v2rQJn1PiNgzSNI1ZpuTl6jBXlgZ4r8zPVyVVBEuqueLUjvywZjXvfTMfX4oPj9eNx+fCk+DB43Pj8bqpCkc45\\u002fGPmbJ0LWPP7MxDNwzkhL6NEQ6NJcV+xpf4mROIYCqFSwhcuoZlKbYWVNGrfQMSvU5CEckLH87nmONOoGfPnnFzJtbddsCAAQwdOpQ2bdrEm0rEut\\u002feddddfPbZZ3zyySfxdlJ\\u002fBTEVvlfPXlxw+SXInzehbauwaxSiITd78MTuJBdCYGg6yjKxQlUoaTGkRS\\u002fePPVWFl34DNf1GkGj5HqELZOwZXJJp2NJb9wEq026Hu0+1h7oyyHecupQttFjNk9LhOiPUoK8ZEF+KoSs3bLgLGkhdAPNcLBs10bO\\u002fHAc77buw50DRtM9uzlgF7doQnBEgxaMH3EHn6yYyaiJjxAKBRFOA63QjzVtDQP69eeM008\\u002foF0+dfpMGvh0bho5mOKKalJ9Hnq1zEMGI4RM0w7n7SNOHSOs22lQEAj+4Xh6ZVUlyU74PmRRFIjQwtD5RpiEAYeu0cFlcE1JgIZeg2vP7sxtL3zD5AWrGTWwI8keF9WhCJsLy1mwbhsT563EL0O8fOtRJOWnMmZHBTnlQaqkQjPsa883dN4JhFlXKbkvyUMTIVmzpYxzjm2N123w5U9r2LAzwPt33ErtJLFYMlEsnBZzONb2wrdv356TTz6Za6+9lmOOOQav1\\u002fuX7fXYeW+94zY++eBDCiYvQ7uwJzIqbGs\\u002f7fgoazOCaYZIS8riuBY9uLTLMHrmtoonUkUsOyU51qeuYUoWveo154u2qxA\\u002fb5HKtJzASGAah6g0h0Ob6LFv\\u002fHhQqYBFxwY6ugYRiz2tDhUdf6Q5XIDii+U\\u002fMmXdQi7uOoyb+55BgwQ7eytkRnAZDqSSyKAfTRgoXUNOW4NmKe5\\u002f6MG4hNmfOulL8OFwOHF7XcyZt5KiCj\\u002f92+QjwhEMTYtaFCqqMu4Nj8NBoKT6dxM99r5IOIRmwMeBCIsrgqTqmp3Qgb3CXqsOU2BKOkiLMTkpPDy2L4+8PZ\\u002fj7vsFoQl8Hh3D0HHo9tSVJ64fROu8ZDZUBCmVioJa61QAq02L1RHI0gQOQ1BYFqC0MkTj3CT8Qcnrn\\u002f7CoKOG0qNnz73s7NrE3t\\u002f93HTTTfTq1YvnnnuOG2+8cS8N6o8i9r01qJ\\u002fNjbfdwnXXXYdYUwQtMiAQqREOQiAjIVCSvPQ8xnQaymlt+tMmo2H8WOFo1aMjSvBifwXvL5vGx8umM2fHGsjJQDZL01lZCJoYiVS3A6UcommxhzLRY2w+HYXC6xS0yAJTEiN5LF89tjRirZuVUmguHyFl8fRPH\\u002fDpyp+4uc\\u002fpXNj5GNyGk5JAJTd+\\u002fyoRy0IkuNF2VGLN3cKIESPo07v3fm3GmNMnNTGB1duLeH7CTKYt30h+VjJNsjMIhe12UU5D5\\u002fFJPzNmUBcSPE5kbPpI9DgZyT6q1u0iGAzidLn2Os9+IQSpHgfNdI1fgVKl4rqiCRRYEiEg16FjhSKkpXh57uYhnHHzZHp3zOayER2wpGLu0p1sKaikSU4SlVUhJpmWPXkmeo7YtWqAIeC6BCftPU7emr2JJK+TRg2S+XLmOrYVB3nuqst3CzX+HmhRZ1fPnj3p27cvDz\\u002f8MJdffjkJCQl\\u002fWarHylovvPginn\\u002fqGdZ+uxzRrB9K1KwZZUZokdWIsT1O4ay2R5Li9gF2UwqpJA7diEvwWVtX8PnKn3hn6TS2l26zfUKGC7wuaFNfsLJQocgETgTepCZKdEjhULUpYtfVEU10AQStsuIValq0xliaYczqMiJVpUSqSjGrSpHhQC3zXUP3JLGtvICrJj5G3zevY9qmX3ls9qdsKtiA5nLbjQh+XIdLc3D9jTfGybyvxRbzvr\\u002f\\u002fwYc4NMGXi9bx0U9LOa5Li3gTRcPpYNW2IqYv24DX5YiTPA4hyEtPRplhdhUU\\u002fK6HEbuW1NRkvG43Rzg02zdBvMcjOpBt2BNcZwdNyoQg0e2g2u\\u002fHYUBKogunU0fTBD\\u002f\\u002fuoOC0iA+r5MEtwPTgkxNMDbRRYeoTZup2VI\\u002fjMILKF1j7pKdZKa48bqdvDFhMa1at4\\u002fPfvsjzrTYiCaA66+\\u002fnpKSEj744AOgphz1zyI+tz0hkWtvuhE2VyDWFoPLvi+BTfSGKfW5vOvxpLh9WNKy6x6iErwyHODTFTM59v07GPjWDfx72ptsryhAc3rQ3T57MmvItNNifU7b6SA4jkNUmsOhK9Fj9vmpKKUjhEWLDB1DoEe0aFdPaFWvKf3z25GTmIGhaRRWlzFn+2pmbVmODPvRXHa3T2E40AwnCzYt4ah3b7G\\u002fF6cXqQv0gmqsBVs58dQRHNG9O7E5aHsi5tWdNm0aL7\\u002f0It\\u002fecS7tGtWnwQUr6N4sFzTNzkBzOXhj2kK72azbSTAQqpmTblfZ0CovC4CCXbto3rz5b0qx2G\\u002fS0tJRu1y4lbQDtgraOu02x+tMyd0JLvyawPA4STItnnt\\u002fJmmNetC0dXc+nzaHNs0yad0ojR\\u002fmb6a0IkRZWQVnHdeef+WlcIkpMSIW88MWGnBNgosfQiYhpWjtcbC1uJrla4s4snsei1YVsLUwxH9uPR+n0\\u002fWnusvEWkUNHTqUpk2b8tJLL3H++ecflLr2GNnPHnUWTz7yGKunLENrPgCJ3V9Oc3uZsno2U9Yv5KjGnYGapKWn5k3glflfsGTnumjDEReGNzle4hyPt0sJKW5onKazdKcA0R9UDrCVQzCmfihKdIGttrsQDEYBCS5omoEWUlhhP63qN+WDkXcy6\\u002fz\\u002f8OJxY7mz31nc2ucM\\u002fjP0UqaOeohZY57g6FZ9kCG\\u002fraope3625vJF1bNoLreho2ZvxKEZXH3dv3ZzIO3rogDuvPd+jm2fz5ABnZi9ajOaELTKyURZFh63kw2bdvH0l7PJSU\\u002faZxIGQLv8+gBs3LQRqOkAu\\u002f8nYp89K7MeAeWgmQatnTrdnTqPJrrp4dQJaYL70QgHImz5egkX3\\u002fMtRUYn7nz4dTTDxdZdFdz42BQuvPMz\\u002fGGN9957D1d2Hy4Y9zV3vvgzO3dUUeLQWRKxkFIRQnFPkpubElx4HTrLN5RQXB6kc6t6vDlxCW63m1NPPTV6eX9c1Y6R0ePxcO211zJv3jyWLFkSfx5\\u002fBTH1PSkxiTGXXITaVAlbymypHgsxWhYvLvqqpuY\\u002f+vwX7FjLks1Lcbh86C4vQtPiGZT7uAtoWz+2XusDvanpZXhI4VAkek05KqILoGiarmnJHqS\\u002fkhPaDmDmuY9yetsBpLh9RKRJ0AwTNMOErQhuw0nPnFZ8dea93HzkuchICC1avLpbaMWhoZcHkfM3069PX47odsR+EzeUUmhRL\\u002fqunTs4rmtLpMvB7NVb6dKkAa1yM5GmhaUkV7\\u002f2JdXBCD63c6\\u002fjaAJk2KRlTiYZHgfzF\\u002f4SP+eByBK7psaNm7BhV4hEAQ8luLgv2U1OgotqpwNPmZ+CD2fz0LNz+MXfgide+pDJX0xkwmcf88UXX3DJJRdz7U13M+LcG5j6\\u002fXeceeaZfDb+Q1569S0Wro9w1h1f8voXK9A9TgYnuGiuCYJKoSmFFDB17mbSk924nAaLVxUy7PgTyMvL+0vJLrHPnXXWWaSnp\\u002fPCCy\\u002fEN4C\\u002fipgf4Lwx55ORkoacuS76jKPHd7r4cs1clhZuigsDgHH9R5GUWh\\u002fTitgx9f1ei51kRcMUWxDZzteToKbP6KGEQ5HoYO+IfRC4Aam1ridkJEjvJl1495SbSfckEYlWoTk0A7fhxG04cUZTYWMVag8eeT5X9hyBDFUjai9GpcDQkSt2QdDigssuweFw7FeFtm1Ke5No3aYNBWVVaEC9ZB9CEySkJKAbBle9NIlJ81cCUO4P7iXQhRCEIhGy6qXRt1UuS5YvQwhBZWVlfHzyPh9G9Jpyc3NZu0tQEQiRk+rDZeh89vM65r04nbQP13JFx+H8OGEqX3\\u002fxGccfdwyzZ8\\u002fm\\u002fPPHcP\\u002f99\\u002fPCCy8y7u67eOjB++jdu3c8nn3u6HP4deF8zh8zhs8\\u002fX0Lehwv5l9OgbYoHSxP4PA7KK0NMm7+FY\\u002fs2ZsnqAqSCU0850U4P\\u002fQvx75itnpKSwrnnnsv7779PaWlpXK3\\u002fK4htGFmZmYw+dzQs3oFeHoJoSqyhOwhUlfLa4m\\u002fi75dK0iilHsNb90dFtcH9nwCISEj3QV5KNMWSPmCv2b908X8DDkWi2zuiYBhSKTwOoeon4HJ4ePa4q+JN\\u002fxyaPWzvpQWTOfGjcRz93m3cO+MddlWX2VM3oz3gHhh0Hm1yWiLDwZovTgiEKVE\\u002fradhdg4nnXgCcGCHUoxs1\\u002f7rGj6et4aiDTu46JgeuA2d3v96mh43PMdLU+bznzHH8cDZQ9hSVM6+1okQAsIRxp7Qjw1rVrFt+w7OO+98Xn\\u002f99d2cVHvCsiwMHTr2OJpxz\\u002f\\u002fAh9\\u002f8yvl3TuSlL7ZzzslXMXPajzz67FO07dAOy7IoKyvjrLPO4rjjjuPWW2+NJ6vEfmrPLc9u0IBXX32Vzz79lIINJpfcO4XXv1pFaXmASn+E\\u002f7yzCLfL4JhejfhixlqSU9IYPPgogL\\u002fc+TVGyCuuuIKKigpeeOEF4LeTiH4PYo7V084+E7fmwFq8BeG2Z7BbUiKcbt5dOpWC6rJok1D7nJd1HYbDk4CU1oHNEqXssETDlFioogHQM\\u002frbQ6oH\\u002fKFIdAkkI0Q3QBg5qUL5FCOa96FT\\u002fSbRNlAapcEqjnv\\u002fDi757GEmLf2Bb1f+xJ3fvkSf165maeFGdGHbVolOD5d2HQbSshV4BTh09G2VsLOKs0aPwuf1YVkH\\u002flJjdl\\u002f\\u002fPr044uiTuPzpD0nMTOGdf40kM9mHx+Xgw+tO519nDWFEr7YUVlRTURWI502DHfqTUhH0BxnYuSV9cpIYNux4pk\\u002f7gYcffpjCwsJ4j7h9nV8pxaWXXESzrqfy0\\u002fpkLrv2AZYu\\u002fZVx995Fo8aNsSwrXh56yy23EAgEeOutt+Kf13U9\\u002fhNDLJMtGAxy8imn8K\\u002frr6Wisor1Wyu49ZmfGX37V\\u002fyypoCHr+7HrpIAxRVhBvTvR7169f9yKKz2fTVp0oTTTjuNCRMmxK\\u002frryJ2b926dqV7t26ouRvQghZEz6npDgpKd\\u002fDOUrsllhbt\\u002f969QQtOatUHFTX79gshIKKgWYZAYKKUAztLDg4xO\\u002f1QI3rs2z0CyASQeUmQ4OWYxl1QqPi0jXtmvMv3y2dgeJPRXT50lw+HL5l1u9ZxyeSnCVuReHbTkMZdSEpMx7KijRcMDWvpNtyGg5NHnPqHLlBKySMP3MfM7UHGPTeehs3zmHDPBUx74GJOO74XS5esoyIQokFqEvd\\u002fMg1HSgIiWq7qdjvxpiRgGBooxS3D+7F17XImf\\u002f01TZs04YorrohvKHsi5jRKTk7m3XfeYsa077nh+mtISUnFsqx4solhGEybNo2XXnqJ999\\u002fn\\u002fRoV5wDEdKyLNxuN0uXLePtN17hobH9GXdpT+68qAd3XtyT5289iiPa1mP6gq0AnHbaiAM6Lv8oYpJ3+PDhB2yc+WePrWs6Z405FwpDqF1VthSOmdGazquLv8UfCUXbYttr5uQWvezP7+OYAvt9mqYhLAVZCZDhi6nvPamZ7nvIkP1QI3rswXRDKkOAKXOThNvho2VGQwQCp2ZQFqxmwurZaE4PStlOMEtJTMtCcycyd9tK5m5fbfcOU5IW6TmkeRLBshC6hlYVQS3cTPt27enSqfPvdijF3pNVrx7vv\\u002fcuD3+7mBOveZxPvpvLj0s28Nib33Dmfz4mwe3kgVFH8dzXc3nknW+R0p56Mv3X9Zx5\\u002f9ssWLsN4XGzvbCEnv0G0KtHD5555hkmTpzIm2++GR\\u002fdtC\\u002fEtANdN+J2fe2GGKZpMnbsWC6\\u002f\\u002fHIGDhz4m6Gv2FDDZcuXcdSQY+jWWNK9fR4FJdU0zE6kS6t6ZKS42bqrmqVrC\\u002fF4vHQ\\u002f4ojfXUf\\u002feyGEYPPmzeTl2RWIB2sTiX1nw4YNI9HrQy7dhjB0UNEZbA4PK7ev5qu18xFCsKRgI5d\\u002f\\u002fSw3THnJbgq5VwGMQEnTblUWDqAiIbtJR35qbGBeVyAt\\u002fuZDBIdaHD2WDWcP2XY7oEESbqWR4PIA9oIoCpQTMENIIXbbqezCBQ0zHKCwutw+oJI4NQNvNDUWXYPt5VBpcuxJx+MwHH8oDhyTuAP69+enGTO46bY7uPqDWWzfZku7M\\u002ft1pGVuFgh475qRnPv0p\\u002fz78x\\u002fxOB1sKSqnf5vG5GenoyImj0+axbl3Po5SiuYtWvDKK68wevRoGjVqxIABA+JTVGujtle69tCEWGbaBx98QFVVFQ888MAB03ihphXT8uXLGTzkWDK9lVxwah8qqgIYukYoLJHSxOtxUFAaYP22cnr17k1+w\\u002fyDorbXvieAZcuW0ahRI+Dg2OgxKKXIyWnAoP4DmfDzN+hDWmNGH4sCpIBHZ4\\u002fn4xU\\u002fMn7lTMxAJRhO0B3UlukCe2ZAdkoWo9sNJtOXQqYniaATrpx\\u002fvYjM36qww2xNgaKDdgMHAYcS0WP6VApCdEIpaJCk4XMSiIQpD1YBNpnr+9JIcnopUDIaOKsppkBJXO4E8pIzATCEjiUl\\u002fkgIlABDQ64oQCA45ZRTaj73BxAje+fOnfn2yy\\u002fYunUrmzZu4KjjTqBb43pIh4G\\u002fvIoTerVlTk4mz341h8Ubd3LFMT0Ye1xPPPXSuO\\u002f5TwjVa8HwE4fF1eBRo0axceNGjj32WL744gsGDRqEaZp2JuAeeeS1ESOdaZo8+uijPPzwwyQmJh5QZY+PJ14wn2OPPp5MVzWPXDXE9sZLgbCT7+ycdU2wZWclAF07d8Llch3U6Syxa9y4cSP9avXUO1jHjl3r0OOPZcLXk5HbyyE3CUImEgkON7M3\\u002fcpsaYLDje5JiKdS14YmBJZlkpeYyUODx8RfD6O4NjuViIYSUgml0RPJHOok+j4RY2wWgsYoICdZ09wuQhUVrCjeQs\\u002fc1oQtkwSnm1HtB3HnV8+iO9x2mSH2FxGpLOGoDkfRuX5TLGmnNa4s2UpJoBJ0HWFJ5NKttG3ekuYt7Ckuf0Yy1balc3Nzyc3NJbtBDoVlldEcfAhUh2jeIIMnLj7BHi6ha+B28tonP\\u002fDglwv5edas+Ay4WEHG7bffjmmaDB48mCeffJKxY8cCxFX5WMx9zxp5Xdd5+umncTgcjBw58oC557GFv3DRQk46\\u002fkRKIqU0vWIgO90ajaXcrTLQLqlXLN9QDECXLl3\\u002f8LP6LcTupbi4mOzs7N1eOxiIbZIDBw\\u002fCZ7io3lCIaJSKCprRVafQHE4ELqSSew\\u002fxiEKhQNcpCVayvaqELK\\u002fdBNOUJql59ahOdCrKw6BEb1BPHrQbOAg41Gx0gI5EUwhVVgKaoYM0mbxmHgBGtPXPzX1O4\\u002fzeI7BCfru9c6CCSHUZvZofwbPHXrHbTLVv1y2koqII3eNCFFRDQYB+Rw7A5\\u002fH+pqPqQIhJ2tj447NPG8kb38+nrLQKr8+DEIJAKEIwEAJNI2xaPPTe91zw\\u002fAQe\\u002fve\\u002f6dihw24dbGJkv\\u002fvuu\\u002fnoo4+oqKhg+\\u002fbtVFRUxCevxt4bq++2Ca2xY8cObr\\u002f9DkaPPifu3NoXYiSfOesnjjlqKNsqCjHG9GK2x+COIj+Vas+4kEApWL+1FIBOnTvF7\\u002f1A+M1svyhi7yksLERKSYMGdr+Bg010pRStW7aiRYsWsGonIiLjGYdgR0QsJX8z00UIjUA4hGnZ5cia0HCikdmgPiS5iPb4aEZNGuwhIdUPNYkOgi5IBYamSPdiRiIIl49JK2cye9sKeua0jsbRDV47\\u002fhqGt+rLj5t+xW+G6ZLdjJGt++OLjlZyaDpV4QDPLfgChA6GhrWzAoDe\\u002feypLQcrC0vTNG68\\u002flo++vhjBt78HO\\u002fdPJpW2WkIFBHLYsbS9Tz0+Y98tWA1F110EVdeccVeNnSstNM0TUaOHElBQQEdOnTA4\\u002fHQokULevToweDBg+natSsJCQnxZgugcd21\\u002fyJcXcn8BYv36yiLkXzajOkMP\\u002fEUSrQg+qV9CddLQATDlOo6AQU+UdOLxn5IsLOoGofLQ5MmTeLXuj\\u002f8kWy5mNmxdu1aHA4HOTk5v3n8P4PYNR117NEsevIxRMi0ve97z122n5\\u002f9r5o\\u002fo2aMaQmKAhVURestlLLHMGf6kiHDI9hSCYosIAfYQk2m5\\u002f8rDkGJLloDdlphqgdMe75YOBLm0i+fpixYjaHpRCzb4zysWXceGnwBTx19Ged1GILP4bJj7dH2xjdNfZ1VO9agOT1IS6I2FJJguOnarRvwx6qu9oeYxEhMSuKz8R+zLeKg7ZWPM+j2lzj1wbfoeu3TDLrrdb5asJr+\\u002ffrxxH\\u002f+E1fX95+JZzF+\\u002fHj69+\\u002fPWWedRSgU4tVXX2XgwIFkZmYycuRIJkyYgK7r3H3vg1Rs\\u002fon7x\\u002fZl\\u002fPiP2bhx417x+JhN\\u002fu33Uzhl2AmUaAG0C3oi6\\u002flQAbuO\\u002fsZEF7m6IEwNyTUNKgMRyisDNG7U6HeFv4QQjB8\\u002fnh077FmEB\\u002fKgxzbadevW4XA4yMjIOKiOuD3P069\\u002ffzAVFFXbJso+TqXMCDISRIYDyJAfK1SFFajE9FeiGwbp3sRaxwWEINOTDJne2LeZBeRH31In0WtBUDP1wo6v+JyQ5AFLIgVoTje\\u002fbF3BqR+P452Tb6JBYjpgdwCJNXiIzdkyNB2pFLf98DrPzR6P7vQgkYgwqPVFNMjLoWVz2z4\\u002fWFNAY8Rq06YNi+bN4dbbbueLr7\\u002fGUS4xdB+WLCa\\u002fYUPeePNNvNFWx\\u002fuTWjHbesmSJTz++OPk5uYCtg27bNkyvv32W6ZMmcK4cXfzzrvvM3\\u002fWVB66vCuNctNJfW8Or7\\u002fxNuPuviOuPsdI\\u002funnn3HO6Wfhz3Cin9sHK9kNAZMsp87diS4a6hqbLUU9TWBiL2JdE4QjknBEUr9evQMOVYyRqaKiglGjRvHyyy8zatSoAxI39ruNGzeSmGgT6I\\u002fUtv9exK63ReuWJPkSqFhfiMhPRYVDu6nwABkJaWT4kmmQkEZOYgZNUuqTk5hGo9RssrzJJLt95CRm7HbcDE8iZCYIgbBAObGJPpM6ou+GGNGzEWSggGS3wKVDtT0hVSqJ7vTyw9q5DHrrem7rP4rT2vSPt3qujR82\\u002fsLDP33IN6tmIZxuLAQI0EwLCvx0HdE9njV1sG1BKSW5eXm89dabBAMBAoEAJ510EuUlxbz8yis0jmawHaj7ihCCrVu3Ul1dTXZ2NpFIBE3TSE9Pp3\\u002f\\u002f\\u002fvTv35\\u002f77ruPnTt3kp2dzW1jupObnYJpWZx0ZAs+\\u002fOgjbr3lRlwuV5zk737wHmPOPpdwAx\\u002f6ud2xEpyIkInQBae6DTZZklvLg0jggWQ37RwawVhFplJIaXfWORBiBH333XcJBoN8\\u002ffXXjBo16nelFteOof8diJ0nv2FDWjVpwdx1G9CGtIp3dIytAmWZPDb0Ika3P+p3HTfWSSjDkwQpLjB0he04bRJ7y0G8jT+NQ4noALlR+8bONNrDfoqVmq4q3Mzo8Q8ybsa79MlrS\\u002fO0BhiazrbKImZtWcEvu9ZhhvxoLp9dsaaUndSwyw8SOnXpBHDQiQ41ZFdKYTgcjD7tNH6cOZPbb7+dIUOGEA6HcTr3rmyL32OUmFOmTKFt27bxZJjax7UsC6fTyS233cXQHg0YNqA5FVVBnA6dgUc04bUJk5k2fQZDhxyFrus8\\u002f+KLXHHppYgWmehndcVyCghbqKh3\\u002fR1\\u002fhKpYb3upKLAUuqNW2BL7n65oLsO+nlvMBg6FQkydOpXGjRszbdo0gsEgbrd7n\\u002fcaS\\u002fZRSrFx40YGDx78l5\\u002f\\u002f\\u002fhAzh9wuN02bN2XuD4sRtXoPKqLDGUMhSvxVRCwTM5qDIYQdQ9+nFhN9RlmeZDAEIsktKKkCQcPorw6JApdDxUaPPcEM7OofRZrXdvfu8WyllGgON8LhZF3hJt6a\\u002fwV3fPMCt3z1LM\\u002f89BELtizDlBLd7aspS1XRRJlddiy4bXSKyN9hC0JNXnkkEmHEiBE0bdqUiRMnUlRUhNPp3K\\u002fNWtuJNXnyZAYN2n3MVMwX4HQ6eeudD1g44xOuO7cngWDYDi2aFtkZCXRplcZzL7yCEIJ77ruXyy+9FK1NfcQ5UZKbcrcFXhWVSgCnJzgZ6NLtElVhS\\u002fMErwOnA8rLbM\\u002f7vhZ87J6+\\u002ffZbevXqxdtvv822bduYP38+wAGr3Px+P5s2bYq3hD7Ym28Mse+7ZdvW4JeoioC9LqKvawiwTIoCFTh0A4\\u002fhRNc0NKEhlSJghtlaWcTMLctYtHPdbsdOcyWAx4VMdMYqp2LqSZ1E3wcyos\\u002fFIsm932uLEdhuBLl7A0aF3VRiz1io0G2Pu1MzaNgon\\u002f8GPB4P5557LkOHDuXEE0\\u002fk5JNPZurUqfGpqnsu6JjqO2nSJKqrq\\u002feaZBLzmi9Y9CuP3X8jt15wBB6Xg0AoYrfWkqBpgp4dcnj3+58555xzeOedd6BzDmpERzs5xNw9rBT7V7oGVye4GejSCama30kJHpdBRrqHwqJi7BFGe8uHmGNxypQpnHnmmbRo0cLusz5rFn379j3gplpeXs6WLVto1qzZ37b5Qs0G0q5jBwiDrAhCkive4U1GO8r8tHUZb\\u002f36PZvKd7GjqoRtlcVsryxma0UR5SE\\u002fwWAlx7fux8TT745fb5LTC74EpM9ph+Ztie4AIhwCLaYOFaLHHkKD+CtJrvireq2FJZWKq0t2V5Df9\\u002fyEJlBFFWSnZZKWZqci\\u002f12SozYikQjZ2dn8+OOPHHHEEfG6673HL6v433feeSeXXHJJPNRmGEZcpV\\u002f0y1IuOv8MLj+1CXnZqVRWhdB1+xiaEFQHwnRrl8uLny63Sd4xh8TTO1FtWnYoaZ\\u002fqJ5zldXKs26BQqt1apEjs\\u002f7dvmM7UZeuprq4mISFxtw2otkNt27ZtdOvWDcMwaNGiBbNnz7avbT8NPYQQbNy4EZfLRV5e3t\\u002f6ncSO3bx5c3QFVmXIXhexpjNKgtPDtHULmLb8RxAaaHr07+i\\u002fNbv33M6q0uhatNdhktOD2+cjmOCI3UEOtnYa+dtu6A\\u002fgUFHdY+I3GwUYmsDjsFUqpbBC1VjBKqxQNUr+iaIgIWx7rLSKjPpZpKakRF\\u002f++4nucDji1WHffvstP\\u002fzwA7fffnutGLiNmIPu3nvvpbCwkLPPPjtuw8ZKT5csWcb5p53MBQOS6doqh7JaJI\\u002feJkoqEr0ODF0nKz2Ba8\\u002foyAtJbnobOmA3lKxNZAAUSCUIRpNlEoSI\\u002fyQJMAVUN87AX1XBnDlz96pciyUdjR8\\u002fnnbt2uFwOBBCMGzYMJYvX04oFIqbHfvCr7\\u002f+SrNmzVi2bBkbNmywL+lvkOyx7zuvYR4ewwVl\\u002fj0SBrAbSBpOHAlpGL4UdE8CusuL5nAhNAPdzgumOFCBJux+75oQZHtTSfL4wBUvbHUCKQf9Jv4kDhWJbkOQak9ac4BuNwjwON10a9SBFJcPr9PNzM3L2Fa2056f9nukuQJ0gQiaUBYkq119vB7v36oi7okYqevXr8\\u002fEiRPp3bs3TZo0YcyYMUQi9obvcDiYPn06d911F6+99lo8Vx3s4pXFCxZxwpnDqT8wDdkhn43lAbIdOoFa9yGlItHrZN7CnZRUBLnh3O6MzklmU0WQHTGNAeISTCOWvqXYYElcAsokzA2b+JXdCbZQKiZVRljSLAt0+Pj9Dxk8eHDczIjl4vv9fj744ANeffXV+PX079+fp556ipKSErKzs\\u002fcyV2LfwebNm1m5ciX9+vXjzDPP5M033\\u002fxbv5+EhEQa5OayuqiSfQkNpRQRtW+fglQCNJ3iQCV3z3iH6nCQokAFW8sKKA9Xg9cVk1oGkIqdNFOnukcRswqTbfeuQ2iGjjQj5GfmMOXsB+JhtFM+vodthRvRHC6k\\u002fD1tjJSteoVNCBJX203T3Ksy7O9EjOxHHHEE77zzDqNHj6ZJkyYMHDgQgMWLF3PGGWeQnJzMscceG+8E43Q6mTrle846bxQlx+WwrXUu87eU0tClc6rHyQluo5ZbV6CA7+ZuISvNy5Be+ZT7I0wMWayLSNu5Bpzjc7IoYrI0bCERoBQeAW4EnwfCvFId2v3ipUJLdaN65fPh+x9w3c030rxZs90KW6688kpcLhft2rWLJwO53W7C4TCrVq2K57DvC0uXLqWqqorGjRuzefPmgzKLbV+IbTKGoZOTk8Pq8uV\\u002fmIEKBZpOebCKcd+9EjtytBwrATzOmJdTB9IP4uX\\u002fJRwqqjvYu14KYM9BizYHiEiLYn8FlowVG9iKZ+zPWLrnXj+1d2qBPd1FQXJqyn\\u002f5tmoQk4BnnHEGzz33HKeddhqTJ09m4sSJDB06lJ07d1JeXs6DDz6Irus4nU7efesdThh+IsXH5KBa56IqAxgOjc2m5NmqMCVSxfu7Ox0au0qqmbNkJ8MHNyfRY1BuSqaETGLL2QWc5jG4PsFFG4dBtiHo7XYw3O2gQEnmRkwMBA4h0IU9c17TNGQwAoNaUaYFGX32OSxfuQLDMFixYgVjxozh9ddf5\\u002fTTT0fTNCKRCEopNm3aBEBVVdU+n0eMeP369ePGG29k4sSJWJZFMBhLL\\u002f17hKBAkJ6eDlWh3VJd\\u002f9hBRLzhie7yojnd9iN2RWWnUgJbov\\u002fJExxcHAoSPbap6kASYLfl1TWwoiEnoaFHd3hD00FaWEqhlLV3rnJscQhbxQJAE6iQ7VpNy9g9o+m\\u002fjVhTiQsvvBCAU045hUgkQn5+Pt988w1Lly7l+uuvp3GTJlSUljHuvnswzu8KrRpgVgbt6IGyF+vFPgfpmoh6exQOQ2PhigLCEYt+XXIhItkkJVukJEHTqLIkWQ4NQwga64JHk91URlX02JeQqWmYyra5409WAJZEeQ3EWd2Y\\u002fdIs+vXoTbM2LVm\\u002fdh1FRUUkJiYydOhQgHjs\\u002f5tvviEjI4M+fey6gj2feUxq33DDDYCdBrtr1664OfN3IKYtZGRmQGXgLx3Lqt2UQimi\\u002fiWosfwPbrucv4BDgegxCASuuDMuuiaUUvGe2wDJLi+Gy0uCy4NSxEfnKMCtO2xPNoLqSJAif3n0yAJl2mp+UlIi\\u002f9+IedEvvPBCcnNzmTBhArfeeit5eXkMHTqU3LxcTj\\u002ftdAB8l\\u002fYi0CwTWR2EqONNKMXYRDdneR0ElcJS9n7nMDS+\\u002fnkjXVplkZuVQHXIJNvQuD7BRVuHxuSASZWyYz5BwCkgS9gbhcR2EV+dYCfzTA+Zu88BFgLCJqppOtolvSiZ+CtzZ88BbGJ36dKFli1bIqXEMAxKS0v59ttvGTVqFKmpqQfMBow587xeL4ZhsGXLFpKTk\\u002f+WZx\\u002fTElJTUyFg7hGctbGv5JjfEgtKRIdqaLu985Dh1yFzIdjPMpZIHQ0DiajDrSac9shRF3Jn\\u002f7Mxop0RakJvCl1oSBS60Pl81c9cOPExhIgurqjkdxwgK+2\\u002fiVhL42OOOSY+1ijWUSZUHcTwOvFd0JPKhsk2yaPSz66hEHwfivBlyGSAQ+c0jwPD0NhRXM2WnZWMPr4tuqERDiqSNMGJbgchpbg0wUlI1bRMk9SEOwwgKGFCMEIzQ6dCKeaFrN2jcUJAKIJsnIZ2cV9ERRDtx41E5m\\u002fi+BOORymFaZo4nU6+\\u002fvprKioquOSSS6If3T9VYpI9MzOT9PR0Vq5cSbt27f6WzMUYPB7PfiekKWmirD20igNaEVE\\u002fkIpqokLENMtDY7FxaBFdI\\u002fZgdC2+hcrYKJwoUt0JpLp\\u002fWyNKdnlr\\u002fhMNOwG4okMN\\u002f79U99qIpbXGpKDD4WDcbXdx96P34L20L5V5yUh\\u002fOE7yGCSwJGxTdE3Eor9Do7XXzawlO5BK0b9rDlowQqIuCCgok7azDWVnwW23FNmahkPYvbsU4BaCiaEIr1aGo24QEfcx7YaoZJe6QDRJQ\\u002f60EYDeffrEU3UB3n\\u002f\\u002ffbp160aHDh1+s2w1lp5qGAb16tVj9erVwN9no0OU6HtwWQiBskzqJ2XSuX6T3dadW3fYHX33PJBSGJrOrqpSfixYhdIATSgsJagj+n5hi19RE+mtnSDzR6DVkvQQ32EPWvujgwWlFIZhUFJWykXnXsCn07\\u002fAe\\u002fVAAlmJKH9oL5LHoEdJ2NjQSNY0TOCHeVvo1CKT9BQ300sDeHWNtoZGgibYbEneD0SYEowQVnCEU+fuJHe8XalS8HUwgiNK8hr33T4gBEKBqAojtxfRIr8JrVq2Auzn6\\u002ff7+e6773jiiSfiMfffqkaLkbpp06ZxJ97fWa7qdLn2ykLXhYYZCTIgvz0fnHLzHzrurC0rGPDhzUSwO\\u002f5GrzwW1vl\\u002flyqH0qpXxJQpKePErC3RNSF4fM5nTFgxkyRPAmHLJGRG4gvSjE7FdOgGO6tK7f7dErtVUNS5FDEPiUQloCZJZsuWzQw\\u002f9iTmlawg8V+DqPI6UFFJHq+q2uOzdkYWnOhy0MBj8MvGEqYv3MpzV\\u002fdnUnWEB8sCuA2NhrqGSwi2W5Jiqyb9dXFEElTgFeAQ9g7rFiI6PlnstTR3C0MpUJpAD1nIwmraDmlPWmpqPNw2e\\u002fZslFL07dt3v00w9kRM4nfo0CE+WTWWZHOwu82CbSYdKOak4gJG7H7ve8BSEl1oNVqLuZuDOBw73EG5+L+AQ43o9oOxajzntjOz5jnN276aGUungi8V9hVHj9lHumF38oz377a\\u002f4HDYPsV\\u002fM2FmX4iRfPXqVRx73AmsdxYjxg6hUloQjOxWdLIn7D5bitYOnWPcBiFN8NpnS2lUP4m2LTJ5r8yP0ARhBasj0j5KNFRG9LNNHDoFUvJ8VYg8Q+cyn5NrElxMceh8GzTZFh1BFXMf1+a\\u002fUorGLgfHBoI8F4K2ndrH78kwDJYtW0Z2djZZWVl\\u002f+Ll069aNp59+mvLycpKTk\\u002f+27ykUDO5XsY6HbWvtdvvbarSoD8ht2I5gLImdnADUEP3\\u002fHYcm0aVUdgpSVKJHyzMVkOjyoHsSMdwJmHtmL8XWhKjlrY898qjHOhzcIxnk\\u002fwExkv\\u002fyy2KOHHwczfNMOlx4JEWBEM2EwVfCYpcl46mqurCbotTO1tSF4EKvkzS3wayVhfz0y3ZuOLc7PpdBcrTPmxG3gGxtJtbZA2CgS+eJqhBLQxYLQhaJQnCVz0lLnxMDeKnKHmggsDeGYz0OyqRiVsgEpTjC46BHUTXPAS1btgRqJ6QYvzlPbk\\u002fE68Xz8zEMg61bt8aJ\\u002fnf4U8Kh8H5Xf0SaVEeCcU1SENMW936vjLaSKg9W29dpRTfW6KEO+oX\\u002fSRwKRI89FYmqkeixgn5LKfRY51PAodntm8UBunXuJQalspv2Y1dK\\u002fX8iZq+uXLGCo4YcQ\\u002fuGGvdcMQinZSF1FwmaRnllkM\\u002f8EoXiogQnEQSvV4ZwRGPmSsKoBAfdnDp+pXhn8nKyM3wMPCKXUDDC6AQXcyKSnaZlF21Ezx3TBAa6DdwCloYtnJqtrlcqiQVUSkVFtLBFw1auEjSNS7xOnq2OCShBA01QHrD\\u002f37ChXZEZU7979OhBUVERH374IVdfffXvInus4aXL5SIrK4v169fTtm3bgy7RY5tGZWUluPXdlool7aKWqRsWM+CtG5FK1Yhmy9x3ynV0fVaHggTNiL12IWbr1En0fUAC1YCdxSYl6DYxdlWXkeD0IpWkOmyHmv7Q168UwmnfanFRUfSl\\u002f77qHkvW2LZ1C0OPPYH2eYp7rhxAKBwhYCm7EYSyiQaKVF1jiMuBDnwdiLDDlLg0jZN8Bue6Hegug4UrdzF36U7+dVZn6ie4mFYWpFQpLvQ5+SIQYbFpxW3MGvkE7\\u002fvt8VQRbO1giMtBEIVD2GpVjcNEcVWCG5cQLDPtPvqGpmjv0NlcZWtHsbTimE3duXNn+vXrx7hx4zjjjDPIysr6XWmtsU2wY8eOzJs3jxNOOOFgfwVxohcWFkCCh9pSQUXDZKX+chZUFu\\u002f5wQMcVYESkOizVa8axavyIF76X8KhRHQFqgSAQESpiASHQXnIz4hP7selO5BKUuAvB6cX63fluUM8RuS0JXpFqS3R\\u002f9vhtViPOH91NUcfdxJZnlLuvnwooXAESyoMTRCzigulBAUpQuAUkKIJHkvxsNG0yNA0Wjg0ItExT29PXkFasodje+bzQmmANypCRJQi09Bo49AwzJpwcWwJTgtadlGLsJv4dHfptDE0wgq8QnCEU2dKUMMQMMrrYrjHYEIgwnYz2sde12nt0FgWsQfreDw1U3RiZL3\\u002f\\u002fvvp378\\u002fd9xxBy+99NIfGrHUoUMHPvzwQ+Dg9fSLoYboRZDkwTYQaxtFIDQDbY8WZb8pFqREasL2r9gnUqjoeq5zxsUREzr2gwmZtq0jNKSSbCndXpPaqht2csI+DgD7eaJKgUMHn4hL9IPdfPBAiIWYDEPn7HPHULFjOU\\u002fceyKmZWJJFXeSCYhnuQlsb7hbQEhBti7I1x1YKPxS4XUZLF5VyLxlu\\u002fjX6Z0o8Tl5eWs5aAJDCAotxXTL2qcXafc9TqGiISGhIKgUPRw6z6V6cAP1dUG1UswKW3bxiy443WPggPjGpGqROJYI1K9fP0499VRefvllLr74Yrp16\\u002fabUj32u9atW1NcXHxQp8EAcXvfUpKioiJI2k+LK1R8hPIfOLj9d9y8wQRK\\u002f+y1HmwcKkUtMRez\\u002fWD8EWV3QrF\\u002fqRlONMf\\u002ftXfe4VFV+Rv\\u002fnHPvlGTSSAi99yaCYkNFWXVFaa69rmtb167r2nZd6xZ77z9X3bV3FERRkQ6C9A6hBgjpyaRNu\\u002fee3x\\u002fn3kmCgBRR0LzPM4TczNxy5rznW863BHUJKdGYoML1JuumBXrCNSxU4XqTUEETslIoKSymuq42aRP+FPD2yh9+5HEmfPweD99yEqZPkLAcnd9MvWptCK1OK6VninR9v3E32CWi6uNZXvt0Ga2bpzHi2M5EolYyctiiQXDh9u7HfTno8Zsdt\\u002fgmapMq9LEE0E4KcqSgTumF5sJUH09np\\u002fJKs1ROCJjEFaS5CRxe0krD8VRK8Y9\\u002f\\u002fAO\\u002f389f\\u002fvKXHTaNbAjvO+nRowfBYJAlS5YAP17DRQ+xWIxNGzZCdho7mgJCCLdBQ73vXbrHjO0IGj3wtp67Gjae4NoPJPr+RXQo9RIoiNvuTNXec0c5LpEbjJkQKNvGScTwmz5S\\u002fFqFtOORBgEzaKL7DcgKUVxYRGWFXk9+CqJ7lWQWL1rM3+64g8svP4IerdLxxS1SDYGN3sP2i3oC9vcZdPUbdDBksuuk5xzDUYSCPuYsK2T+ymIuHN6LlLQAXYRgVIpP7+fS0CavzztviIbnVArej8SpUfWqVZx6l3GqEHQ1DXqbknaGTL4nK0OP9+YtW4D68fQi\\u002fnr37s1ll13GlClTGDt2bLITzc7gSd0uXbowZ86cZOTgjwHv\\u002frZu3Up5VSXkpOkn2WYaGFKibAurLowTj6IcG5SDk4jprkDxCIbYpia\\u002fEJBwoC4p0aNA1Y9y4z8C9ifVHaAgeaQyAm0yGrxBNNpPFwhwbFJ9fu4Z+kdG9TiSTH8qi0s28M\\u002fpbzMlb059FVjcCZSbQdGy9ZSVldG+bbufhOjSdRzectOfSWRL3unZmnVF1XTzSTbYitUJhxYS\\u002fhDy08mQRBRcFvJzaaieoA0tSCEEtqP476fL6dw2k2FHdaImEidFCIYHTSZEE9Q2ICx48RuqkYiv3+rQv9UqSChFthTY7ljrhUAwK24xLmKx3HLobQquCvnppBTpaVr1XbJkKSNGjGw0np50vu2223j99df529\\u002f+ximnnJIMQd4ZHMfhuOOOY+zYsVx55ZU\\u002f+ve0Nm8Nlk9AWkCHRjfgqxQCO1JNTlZrhvU\\u002fkUNad6Ndeg4+6aOwtpxlJflMz1\\u002fKos0rwDCRpl\\u002fPsaREd4mu2Az8\\u002fHu5LvYXonsocqeoQWVENYxYUI6VDI0VQurKxFaCx0fcxBUDhyVPcFJaM45t34+LPnmIDxZ9jQyk4ggbZdkYrTKxcNiwbj0D+h+8zx\\u002fG2y\\u002f\\u002fYsIXfDlpIuKSwyhJJPgsloCIF30mWKEUWYbOMrOUopkQxFDJIo3J87lloqYu2MLivFIeuuFYAn6DeMRBGoIqRxFv8BkDsJXivFQ\\u002fDvBeXRwhBIYAH4KIu32UIQXnpPhIF5IJUQuForvPQCn4JBpnTCThxiQISqIOKQjuDZjkZAUJ+WHGrNlA43h2T6p37NiRm266ifvvv5\\u002fXXnuNP\\u002f3pT9vNZGvYq80wDE4++WRuvvlmxo0bx4gRI36UYhTe+fNWrkL5FDItgOPUL6MSgROPctnhp3HHMefRtdn2i2WEY3V8tHI6d3zzKkXhYqQZwBHo3aLquKOHXm2kXin62VX3\\u002fYXo3kCUoLfYQoSjSrPZIS0lxEMnXE6rUDNKI2Fu+PJFIrUVHNf9CC4b8Fssx3Y5o72+QdPHqyNvZnlJPssL1+gvwlGQqxsQLF26lNNOO22fP5QQOvvuhSeegWw\\u002fRo+W2AkLIevVXwHYCPqZkhQBWx3FJ5EE\\u002fX0GPX0GsQZ7uV7XlFc\\u002fWcZRB7dh8IA21EYsDKnjDb6OWSSUtvN1kAcMSTG5Mc3PYsvh42iCuKM4I8XPqKCPjbaDAXQyJV0Myb+qY3xSF08mtDSMiJNCuHHxgg4+SVXCJrdZCv17tGDG9GkUbNlCmzZtv0dIpRQ33ngjL7\\u002f8Mg8++CAXXHABoQadajy1vCHxly5dygsvvMD69eu54YYbOPLII8nJydnr4BmP6IvnLYAgyMxUnETCjdFQOHac+0+8gjuPPQ+AhGPr8tpGPU1iVoLMQCqXHPxbjmrXm1Hv3kNe0XpkKIQTtbQmCqDY5E0D9gOi7y82ujcQxXgOjPI6pUMKLVqFsrnq0OH8rtdgeua0J27FQcFZvYckbXHDdZL4DBPLsUnzB7l18Fng6KARHIXKTgUJC+bNA\\u002fbtFps34detXceU6dMQx3TDNiXK1nnLnqVqKzjILxke9DEpZnNTZYRnqmM8Xxsn1sDedhxFatBkyrzNrNtcyZVnHIRtOQhXxbaBEkeBUjjo7dyefoOb0gIIIZgas0k4iqAUnBI06WZKjguYHB0waG8I5iVsxkcTGFIkU6oVOhLXm6mWUoxI9dHPJ7morI5Xa+P8bkgPKivKeffd99yQ5fo57Un17Oxs7rjjDjZs2MBbb73VqPWzYRgYhkFBQQFvvfUWJ5xwAldeeSXt2rXj2WefZd26dXzxxRfJDLc9hVdo03Zs8lbnQctM7aB19OLhxKNccuhw7jz2PGzHdht5GvgNk83VpeSVb6EsUk3A1NtucduiV057PjjzTpqFslC2hayM6agbPX753jDs8U3\\u002fiNgvboL69rJbAR2pUF6nSOjtobbp2cm+1d8VrMKORwiGmjGwpe56Y0jJvMI1jHr9Nt5cOsntl674TacBtM5uh52IIb299NYhFs6dTzwe32ll0r2Fd97Z335LVV0NvnY5ev\\u002fKlNpcRpPHFHBJaoBpcYs7wxG2WApDCrY6DjUu0UHXa4\\u002fFbV79ZCmjhnSlZ8dmROO2qzXoL\\u002fKykJ9efgM\\u002fMDhgcH9GgDaGZGHcZkwkgVIwLOijh2kQVoo6pahWWmXVTj+RTDPY9otRSnFs0OS8FD\\u002f\\u002fropR5CjGhCO069OCbm3SeeSJJ6kKh783pt7vV1xxBT169OCuu+5i\\u002ffr1OhCqqIgXX3yR4cOHc8wxx3D\\u002f\\u002ffczevRoxo0bx+23387VV19N7969+eqrr5Ln2pvvQwhBYWEReRvXQafmKMsdP8ciIz2H+4Zc5AbNaO\\u002f6moqtnPfxAwx+9SaOfPUmjn31Rm6c8DwV0Rr8hknctujfojNXHzYaZccRpbVQnxG0zr30TxuwsQPsL0QHbVJawHpA70dWRsCAzEAoWU6qJh5F2BYZ\\u002fhRap7v12RG8uvBLxi6cwJWfPcmGcDECQfuM5nTOagmWhVAC5ZPQOZfCwkKWr1oJ7HvPe0FBAY7jEH9pGup\\u002fcxB1Cc1uLXwJCMHXUYu\\u002fhqPE0H+ylWKw3yQ3GfKqu6V8MWsDpeEo5w7r6ZJcX0OijcHuhuSJrBQ+yAnxYGaQNoYg33J4qCZGtePQ1mdwUaqPuKsFGOjstQ22Q19T8mKzFLr55Perc6HNgSF+gydqYxTaDkIKorbetrz6zAEUbMrnlVdfbaSOQ30QTTAY5O6776a4uJhBgwbRtWtXWrVqxX333UdqaiovvPACK1as4Prrr6dZs2YkEgkcx2H48OHMmDFDP+deEh1g7Zo1bN5agOzSEidhaa0uEeOkzgNpl9EcR+kCJkW1FYx8+07e+e5TNlUWUV4XZkXJRp6c8jqj37+PmnhUCxSluHLgKYTSmmEXh5XQ5nAM2NBg+H527E9EdwdELQOgJiYIR8EwiNv1e7CpvoDel5aSrAYFKPKrijEzcqmN1PBdwark8TZpzbQkVTrEVHbIps6KM++774Aff4\\u002fWgzcpzznnHJ5++mlefOoFOhf6UB8sQEojGaVWqxTjo3F0l3OtcmdJydkpPi1dFRiGpDZi8eHEPI4\\u002ftD0dWmcQjdkoV5p7L8MNsKlyHFZY2pMeU7ghtXB5qp\\u002fWblabF5DzWm2CGysj3BCOAor\\u002fNEvhIH+91gHeVp3gudoE38VtDFdF7+o3aBG3OGxAWw7v04JHHt2xVHcchzPPPJPevXvj9\\u002fs544wz+Oyzz5g3bx7vv\\u002f9+st6cbdvJlE8pJUOGDGHt2rVs2qRN3j1dmL1dgBnTpoMPRMt0sF0Hop3g6PZ9dKCMOx+enP0JK7eswp\\u002feHGmYCGkgzQC+9BymrZzJ\\u002fxZ\\u002f7aY+K9pntWBIh4OgoFy5\\u002ftVCYGOD4fvZsT8RXUOxBCnAcgQVujfWpsqS5J9P73U0obRsMgP1lWYsx2ZjZbEOFEGxqHAdujWTom1GLiB1qGPcRrbJAmDmtL2XEjuDZ\\u002f936NCBa6+9lj9edSXvjv+Y9I0RmL0ekepL5i17kXHejMiUgtZSEHOfx++TLMkrZe2mMKef0I1o3CbVEISEICQgxX3lWQ73VUe5sCLCHyvquDkcobkheCwzhX9npnB0wKBW6S\\u002fdACptxZhIgmJbsSRu86fKKP9XmyDHkGw7Px2gwk120X8R9DclISGwbJtrzjuUrZs38PJ\\u002fXtmuVPd6xmVkZHDbbbfx6KOPcuqpp9KqVSts227klGvoO+nTpw8pKSl88cUX+j72cGH2fALfTPgaOmfquIqk6iJpnZZNw8TUT\\u002fNmIX1BLMfSxU\\u002fcWA7bcZCmn7F537r3o88xINgGSmqUWxqyBCjCDdfaoxv+kbE\\u002fEd0b9SW4g6MKq0BJttSWs7GyGAV0bdaaCRc9wAvDr01+MByrY11lIRgmyrHZVF3aIKdYQwgBlo2TmwqtQkz7ZjLVtTX71E4HLYFs2yaRSHDYoYO49obrccYuQ1YnkvZ6o5kgoNxRbHIUfrSzLuAz+GTKGnp3yaFTmwyUZbPSsvk4EuetugQv1cb5c2WUaysjfBOxkt785QmHakfR1RQM8BsEGl9Gl5FyI+gMATGleKM2xuSI3spUDd5rUL+n7z4Zyy2HCBCL2\\u002fTs2IwzTuzMY48\\u002fSbiycrvjqpQiFAqxdOlSbc7E48nY+G0XXO\\u002fznTp1okePHsnY9z39DoQQFBUXs2jhAujaQptxyftTyXgLIQThWC1lkWq9Zfb9s+EgKK2rSp4boFmNgDrc8Gy13B2q\\u002fYZf+82NUD+HtqBYAwi1qdKRjqSypozJ+Yt1tpVjcXS7PgzpcFCy+syyko3UxSOazELQIjWLqlgdq8s3M7tgVTKvBcCRAtGnDXn561m+fLm+8D4kuudZ9hor3nLH7XTIaYM9eQUy6EN40WTe+9GhrqsTDn70llpZOMqSNaUc0a8V2al+lkZtbgxHebQqxnM1Md6ojTM3bhNV9dtgSilGBk1SheCvVTGurKjjnUiCoEtgC2huCE4JmMlKxQKdyeburjVS3W3Xm+9JdCkEixM2U+M2aVJSHYlzyeiBVJVt5L0PPvqeVPfGonfv3syePTvZnGJHOx+el90wDIYNG8aMGTPYsGFDMpZ+d+B56yd+9RWl1WFE15a6KrDnNlOKkrowtptbnhkIkR3MALW96wgkipahZsnvSylFuKhU\\u002f2pIUMxsMHT7BfYnooMetypQCwHYWqVE1AIBL84br8tESZOYbWE5NgnHRgrBp6tn48TqtArsC\\u002fLi\\u002fM9o88QFHPTiVczatBx8wfoWyraD6NUSgI8\\u002f\\u002fBD4aUJhPfW1WVYW\\u002f3jg3\\u002fjnFiDK61Cumuw17AM9O0JS2+spKT6Wri2lujbBgN4tSCRsCpUi4uBuhXmvehI6QEgKhgRM7quOMimSID\\u002fhsNpyaBimEnej8Hq5DjhPyusxqRd4uVIwJOhL7qsLtMfJUYpv4zaOUFiWQ3ZmkJFDuvDGG28D2zeLBg8ezIoVK9i6dat7nR2PfUM\\u002fRzQaZe7cuW5Ow+59X955Jn35NSpNYHTIhpgOsdYlmk1WlG7CEJIN4WLeXjYFy7FAGtswVaCUg2PFOLvPsfqIGwo7Y\\u002f53AMItVjF7t27wJ8D+RHSFF8CjWAhAJKHsrWFkahqz1i3gtm9eASBgmJjSIGD4WFq6kdcWfoFwnXQA1bFaamN1xK1E48wOIcByEC3TINPHhLGfE0vs2222hvDIfuZ5Z9OzbXfkhKWcmp3KfzKC\\u002fC7Fj4Em0vCgj0FuXzWfEOTlVyIl9OmUTTxucWTApLNPN3LwiO1lAXhPYQjBczVxZsdspBSkG5ILG3jc9XugzFGEXXHu6ZpKQXef5NiAtmO7mpJ\\u002fZgS5Kz1AKylwHEXcDbY5xJTJRSFh2Rx+UHvmzZtDOBxulDjkSe6BAwdi2zbfuc7QncEj6MCBA+nevTuLFi3a5Rp0HjzHXmU4zFcTJ8Ih7bBl\\u002fUg5jg2+AJ+tmcNp793LMa\\u002feyPnv3M3qko1g+Bo7FQFTOVwz5ELO7Xs8lmNjGJI5BauY9vUkBxCO4+SznzniYP8iOtSbqwvQ+RwmG8qVMkH4Ajwy7W1Of\\u002f9+Plk9i0VF63hz6SROf\\u002fdeymrKwfDVl+cVEiENttfHG9vBCfmQ\\u002fduxYtVKvvvuu+2qmfsCnq24cf0G1m\\u002fJx7eijFEVEfqnBbgh5OffmUHuzAxwU5rfzVATJCyb\\u002fK1VdGqdQWrAZH7cJiTg9rQAQXe+b2\\u002faVzmKtZaDKbTkPS3FRy9T9z73JL8PQZmj2OqSVktpyDUED2cGOcJvgoJ8S7HVshke8vFa63TubpHGH3NCPJGbxoh0P8qUpPgNgn4DwxAk4lEiddvvgtK6dWuysrIYN25cckx2Bq8H3a233srbb7\\u002fNmjVrkn6PXYEXWjt50iQ2btmEOLgDKuGlCrlMNAw2h4v5ZOkktoSLMVJCCNPXwIZ3cy2UQ8AX5OpBI5LRcnFlc9v7z2BvrnAMBCg1Fwizn0TEedhfQmA9eGz7FkQxqNbkV+h2SkIgfQE+Xvw1H6+cQXogleqIdogIXzCZoqrVWJmsMWcI6UaWOW4wBCjLwejfjti09Xz03gccM\\u002fjon6QQhTepw+EwNbU6tfPN9xfR\\u002ferBWCiO8hsY6PxvCx2VZjuKknCUXq0zGB+zeLQyQgefQbYUWKLRXPwehKgf0Cwp8FE\\u002f8wQQUYrupuSYgMn0SAJbQEtDck96gFwEi+M2SCgQCivoo7Q6xqbSWoLF1ZBfyceF1TxbFUUAaak+MtOCrFxfQk7zFmRnN9vmXrR0z8zM5PDDD2fChAlEo1GCweAOQ1s9MhuGwZFHHsHatWuZPXs23bp1A+pJ7EXaNYyX9z7naQCv\\u002f+dVRHM\\u002fslUGtq2+tzoKYSADoUZbbI2+OxRSGtREazj7vXv55veP0CKUxbVT\\u002fo\\u002fJX3yOIRC2zoSbhR52kx22iPjpsb8R3dMeK1HqO2AUBdWKsjpB8xBOwsZIScN2HKqjNQjT76ab67hpicC2YjiJGF7zesd20139KW4IpE6BtdulQ+sQ77z5Fvfcfx8Z6en7rBDhtvD7\\u002fVotVQ7TFm7h44l5nH9KL8K1caTUA+Ddhe0oEjELmR5gQjRBTEFewp2IP3CrSVILwZu1cToYgiP8JpEGobU+Abem+WkrBVFHcVaKj+4pPixTEo5ZEEuQHo7y5JerqVhbxuot4e\\u002f3u9sGl112Hv5AoNF4CiGShSR+85vf8OWXXzJ\\u002f\\u002fnyOPPLIZPVYj6Qeeb349\\u002fHjx3PZH69kxOjTuOCCC\\u002fhuzhzatWtH6zZtktfcXqKMd70NGzcydep01JHtUSk+qI6CdE0AVyDsSrEJRzlIX5BlBau58JOH6ZzRgpcWjUVuqVO2wkCKGEpN896+82\\u002fnp8X+RnQPAsV4hBhFbUxRVA0t0zVBvVBiw0zGdRtCYtsJbCtO5xadOLJtbzpmtSTkC1BSF2ZFaT7T8pcRra1EuB1clCERR3Vh60dL+PCjD7nk4j8kJ9w+eyh30mdnZ5Obm0tRURFSCF75dBkH98ilZ8dmRGJWo\\u002f5dQoBpSPw+IxlU40nqHU3LxoEu+jPljsNzNXH6ZhnJ3HcBxB1FioIbMoOYpnbKrdgcZlFeCZsLqzFWFFNXWMVsq37eyobB8A0uKqXEtuxkwtC24+nZ3KNGjeKOO+5g\\u002fPjxDB48OHl820V2xvRpPPr4k3z80Yf8deTh\\u002fPO+P\\u002fH2e+9z\\u002fnnnY\\u002fr9XPz733POmWdwwm+GYhgGa9bk8eknn1BdU8uQIUMYOnQoAB+++x6lVeWYhx6CFY0nk3QcWzvcpFvJaFfgKAcRTOerVd+CATIicApcL4ciH1jQYPj3G+yPRPeCDL5FhxL6WVmiOKh1feNFSOqsUhrYsTqaZ+Ty9yHnc2bvY2mTlv29ky4p3sBj337IawsnAAJhK2TvVtjBZfznhf\\u002fjwgsuwDTMfSrVPfW1bdu29OzZk6KiIgzToC6S4PG35vP4n4\\u002fDMASO22dBuVFxqWl+QkpxYtDHwnBsm\\u002f3s7xuD9WEg9T8VghqliKIIILAcnRyY4jcxDEFBWR3zlhfx9Zx88jZWUFndOJXaI7dyVDJIpNGzIbAsm1AoRBtX0m6ve6pSit69e3P00Ufz8MMPM3z4cPr27UsikaCurpaCLQV8PfFrPh03njnfzqJFyMc7fzmXc4Ydzl\\u002fv+QePjp3FNScPIsVn8PGHr\\u002fOfl15g4KGD6NOrJx9\\u002fOo666nDyWo8\\u002f\\u002fjjXX389\\u002f\\u002ffcC9C7OXazFIjGEdLAsWI0CzWjoi6MY0UhkPI9O0h6jj\\u002fVuHOqUjpohhQfzsYinZeha8RNRtfskDRJ9B+Et127CtR84CjySmxq4wZ+o9GMlkLixOo4uE1P3vjdbfRr0QlwS\\u002fMqXYvNVg4Bw+SgFp14ddTNDOnYn6vHPk48FkdlpyAP68SsaTOZPm06Q4cO3WnXz71FQ\\u002fX1oIMOYurUqSilSbR8bRn\\u002fHbuca84dQHVtXIeZokN9m2cE2RqOcnnQx9wUk8kxGykaJpxQn1YKtJCSGIqw24TBQeegn5viJ0cIokAoxYdyFHn5FXw1O5+Jc\\u002fIpqah3oBlusUql9D\\u002fbI\\u002fe2z6aUIicnh9atWyePbQtvIX3mmWc4\\u002ffTTGTx4MK1atSIQ8JO\\u002faYuu5gLkpvq4++yhXDd8MDmts7nusfd4Zvy3jL\\u002fzIk45sh9YFg9fMpzxc1dyyRPvsmDeXP4ycjAtc7J46rNZbCqp4O933snq1atZs2kjXDoI5TjJOXNUl4G8PvoWVpTm84+pbzJ78wqkWe\\u002fQNaTEtuKQcDvm+FMa2f8O6ErFy4v0KioRKD71hmM3p8Y+x\\u002f5IdG+bLYria+AoqqKwrhz6t4aI7mIihUDZcdo3a8MHZ\\u002f2dbtltsBwLKWSj\\u002fGEPljuBLjn4JGoTMa4b9zgybiMO64g9Yx1PPv4EQ4cO3ec2unf+448\\u002fnmeffdZ1OOlF6d0vV3Fwr1yO7t+G2ohuNWWagta5IabMLyAg4OwUH1PjdlL1VgquSgvwbdxiQVw\\u002f4+gUk1FBk9fqEqy2bLoZBif4DQ7yG8iAiZmwmbFwC2OnrmPBymLqolby3jxNwv4BYu\\u002fouXJycmjRosUONSNPTT\\u002f44IOZN28eH330Ef\\u002f733+ZMnU6uelBLjphEL8b1JOje3VE+E2suMWVD7\\u002fN\\u002f309l\\u002fF3\\u002fp5TjuxLXVWtVr1RnHr8QB4I1\\u002fL3tyfy93NOICM3kzOO6MXVL43liwV5PPvss8g+raBzNjLh4FhxuuR25P3T\\u002f0rbjOb4DIOqeF2DQCCJ49jYkRpym7WmV057wrFaFm\\u002fNQxhmvZwR6MSrlcU6eVCpDWgtFPYztR32v+01D57a8xFS2CgM8krBTSHU0J0vHzzpcrpltyHhWJjSRArJ+8unct7HDzDqnbu4ccILLCvJTxb6sx2baweNYGSfY3FqqhGt0xED2vLZuM+YPnNmMgFjX8Gb6CeddFKSENq8U9iO4um3FlJaGcFnajXXcRStc9IoraijKpIgVQhMXPtbQUdTcnGqj54+V6EXMC9ukykFN6cFeD4zhZvT\\u002fByeEcSSgpmLCrjl8Wnc\\u002ftR0ZiwsoC6qC1doguvr7U1MQdeuXZPRaztbNB3HISsri0svvZTJk6dw4cV\\u002fIMsHj153JvGExT8\\u002fmISdsNhaWkleYTkf\\u002fOVcTjmyD5GqWkxDIqXrfK2q5eCOLYnE4sxauRGrNkrnltn89\\u002fozaJWdoT3yLdMQARPcGgEPn3QFbTOaE47VMurde1hRsBrh8wMCx4ojheSW4y9m+h8eZerFDzP38qf463EXoqyEDq12FARMWFMK4ajjfn1TgFJ0tPB+pbbD\\u002fk\\u002f0xW7wjGJlsUNlFAz9BTuJCId2OIjTex6dTC20HJsrxz\\u002fN2e\\u002fewzvzxzN22WSenPYWx7xyA5+u\\u002flav1u5ie8Nhp2EGUrFsC+O47ljC5pEHHtznS3HDbaZTTjkF8GxXrcJvLq7mw4lrCLgNJ2IJm46t0kEp5q8pY2DzVM5J1Xu8QSm4Js2PIaCrYYAQGMD8uM17dQnijkPMZ5AwDSYu2MxtT07jtienMX9lEUJ4NqiW3nsbL+QtDgMHDtyl93v2eiKRwLZtbrv5JspVgAvvfpmT7\\u002f8v789ciiEFuZkhvvz7xZx+VD+i1REMo3GFX0PoVs3lNRG2VtZgBv1U1UVpkZXOgI6tcBwH+7tNiJI6HBIMateHkT2ORKF4d\\u002flUFm1ahpGSrjXvWC0dm7Xiiwv+yUMnXEqP7LYkHBufNPnn8RczvNfRqHhEL9aOglUloJSXhfMp+6HK7mF\\u002fJTp4K6NS7+hMg4hibRmYUoe6JuIM63ooAdOXVNlfX\\u002fINL816H+kPYqZkYKZk4A9lUlkX5qrPn2ZTVQmmNHCU4tgO\\u002feiY3RpqIzit05ED2zFu3DgmTpq4z6W6tz88evToJPH1T62wfDlrA+VVUW0n24rcnBSUgifenMerY5dzniF5qXmIpzODHOY3qXIUB\\u002fslQaFLSplKMdNykKl+1m+s4K7nZ3LHU9OZu7wI0AuKUm5L6h9pZfOIfuihhwLbt8+3hRAC0zQxDIOOHTvSs2dP3py2mOy0VF66+rRkvXhHKaLxxPbLV0tBbTROTnoq3VplQ8LClFq7KQnX0KNtc07v2hG1shB8kt92HohPal\\u002fPG0u+QQqJKU2sSBWHtOvDxIse4qTO9YuVTxpYbkmpm488HSEkypS6VsLqElcdU\\u002fnAl9QHKu532J+J7mEcOtLIYP4WR3tAFfgC9Mxp1+iN\\u002f1v8tY49RmC55YDitoUZCFFQks\\u002fE9Qt1FRXHxm+Y9Mhui3apOoih3bFNxV1\\u002f\\u002fTuxWGyPYqp3FYahCxb85je\\u002foVu3bsmyU16j3pLKCItXl5CWqvfb3\\u002fhsBWXhKPmF1Tzx1gL++sIsutqKPgGDmKN7prWSgstTfXQ0DF5ok8GfpeCZtxdw3cOTmDZ\\u002fc1KCAz\\u002foWNsTeH3TevXSfdJ3heje+FZUlHP0sccyc9a3nHBQV76+9xKO6NmBWNxK3jMKNzBmu2eiRWaINtnpKMvCZ0jKq+pYkl\\u002fEWYP7cfWpR6LWl4GSHNamBwAbwsWsq9iKIw1iNeUc0+1wPjnv\\u002fmRByNK6MJ+u\\u002fpaaRDTZ+6938w50zGmPIyzEimKojunqH4q3gRq0cNrv7HPYv4nulTxfCWoyoMivUGJLWKcYSh\\u002fpbh13w5XS5ZEatjcTBAqpFIW1Fd4BlFJkp6Tr3xMOdos0jCHdmfXtLN5+5509ypLaVXhRXJmZmYwaNar+D8r1djuK5et16bx\\u002fvzKHt79YpSe6EBiGYOHKYv72f7OJKJJFICK24qw0Py\\u002fkhiidv4W\\u002fPTyZ9yasIhK1GknwfQHP79CvXz9yc3N3+XOeHf\\u002fqa\\u002f8lb8kinr58JJ\\u002fdeREHdWxJNBJPktx2FMH0VAorqrnt9S+prI3gc3dGHNuhQ\\u002fMsfIZBTTQBCnwpASYtXUfcsjm6Vwf6tM8lx5aQsOnUrBUAppS6tzmC6485jy\\u002fO\\u002fwft0nMAmJq\\u002flOP++xdG\\u002f+8W\\u002fjX9HQQCRzlkBdJold4MamPI+QUKPT+jwIc\\u002f2mDuI+zPRAdvdVS8hhSCmCXV0kKkIcGKUx3T20GWm8XWJr0ZbNfbK3CEpGNmy+RZhRCURar0wiCBhIUa3Amygvz9jr9SWFSUlLz7At49XnTRRY1MBeVK25kLt3Dtg98wYdYGV2joDDfb1jXlvl1cwDPvLCAUNJFCEErxUV4T56nX5nD78zPZWFStnWzsGwneEB7RBw0aRGpq6g864rbFN1Omcevoo7n2vBNQShGNJpL79o6jSEkNMHbmUk795+s8PnYmFTVRXfATsCybNtnpCAEl4VqEaaAch4++XU5GSoBDurQhKz2FVsIHkQTpAS0c2mfk8v4Zf+ObSx7nyWFXE\\u002fLpGvUvL\\u002fic4W\\u002fewfLiDaBgabHOT9FFKRwImrC2DAoqHdeD+R0wH7f57I8yoPsABwbR4WuUWgYI5m12ZFUMVIJVZZsBknVBrjzkVJSQWHYCn5vh5jdMEnVherbtyYmdB6CUbnMbteKsKt9SrwHYDk66H2N4XzZvLeDvd\\u002f5NH96LyqM7g2eb9+nTh+OPPx6vSqnHyfUFVcxfUey2m2r8WdtRSCkYM2ktL360BMOQzFhUwA0PTeLzmRuT8d22o34SPdJbpA455JBGv+8qlG3RJjsdOxrHcZ8NXEmeGuDlL+ZwxgNvsjS\\u002fCCEEyzYV6+hB9+EMKfGbJlWRGAT8FJaG+Xz+ak7o34WWzTNJCfrJTA1APEFppArbcUg4Nse078uQDv0A2FpTzh8+fYQrxjxMjRXH508Bw+CQVroAqRCCylgdpdWVsKgQZTteQZr\\u002fA+qzZPZTHAhEN4AaFK8hBFRFlbOoAFJT+XzNd8TsBKY0sJXDaT0Hc8+Jl+EXkkRNBVZtJfHaMF1aduaVkTeRm5qJpXTQxOSNS9hYsRVh+vF6sRNN4BzUCqNfG1575TU+n\\u002fAFpmnuE7J7hRV8Ph9nnnmmftiG2VJCO82cBkkbDeG4kW3\\u002fHbucy+79kr89M4P8wmpXTd93\\u002foXtPYfjOKSkpHD44YcDu1+ey7ZtLNtJFr3Qx7QkH\\u002fftcq75v7EkHCdpcs1fVwCuTwP0JEkJmBhSoAzJlOUbqKiNcv4x\\u002fXVxezdnH+Xw1boFGFJqhxwQtxO8sfQbjvnvX\\u002fjvd58i\\u002fSlIaZCw4shAiHP6HZe8RmEszIYVqxGry3T6vqNWA2Ooj+bcb7E\\u002fBsxsC28A\\u002f4fgFhS5ztx8JQa1E\\u002fO3LOfDFTM4v9\\u002fxWI6DEoq7j72AEzoNYHzed1TFauia3Zbz+w2lZShL1\\u002ftyI84en\\u002fMxTiyKkRJqlK2kHIU6tRf22mKuufIqvv1uNrnNc\\u002fdJaKwXgfe73\\u002f2Ou+66i9LS0qSk1zneXs50fZmjxo0M9QxbvyXs\\u002fn3fq+nbwrun7t27c9BBBwG7TnRvPKvCYYzWuv6fjg9Q+P0mW0squeqlscQtm5Na5VJt2cwuLWfxxqJG+QC4UZCpAZ\\u002fOVJu8kJz0FI7r1xnlOMQiMWr8AtJTeerbj2gbymZg624sLd7Iawsn8NWaOYDATEnHchzdVy0R45yBJ9Mzuz2WY2NKg+kFK7AmLcVIOMrWAfKvonug71eZatvDgUB0Ly+jGEe9jhA3U1Bli+VFhji4JXd8+RJHtutFl6xWJGwLISTHtO\\u002fLMe37NjqJV43GEJKHv\\u002f2QL1fORAYbkxwhIGHjNE\\u002fFGN2f9e\\u002fM58YbbuStt97aJ6GxnjRs1aoVJ598Mm+++eb3yNysWTOuvfZannrqKcLhMD6fj0Qikfy7ggZS\\u002fEe9vV1+BoBhw4YlHZi7QnQvQ62qqpraqkra5LQD23bzvkH6DB4ZM53NZWEObpbBVV074peSexetwBesn7aGEFRF4kTjNh2bZ1K8uYRJS9Zx2YmDaJ6dgQCmLt3AimYGIi1EUXU5fxjzIGkpGdREqsFOIAMhQGElu8fYhFLSuPaw0ToCzwELh\\u002f9O+BiWVyglhESpEuB\\u002fNC7Ms99if1fdG0IAL4GqAIQzba2DLckPFzL63XtYXLzetcslcdsiZif0TyuB7Tj43E4uz343lr999RLSU9ndEycLSbrN7O2BbZCHdeDtt9\\u002fm2eefxTCMXWr9u7vw1OwLL7zw+w8sBLFYjMMOO4wpU6bQoUMHEonE94opOj9CwMuewFuopJTJ3YNdNRk8LWXJsmVUlxVzRK+O2NE4AggEfKzaWMhLX8\\u002fFEILhrVqiFEQdHd0\\u002fsHMbcJNrjICPOXmbiSYSdG6XyxfzVxO1bK787SAAqsqquWPmPGJ9WyBsB2H4EKafmmgtwvRhBEPJ2oPJ+xeCGivOZZ8+wserZmIaBm+smsLcDz5DJpTj6A5Or6Kbgm6bU7Rf4kAhuteMZDWKNxFItlQpZ9EWZEYGSzev5MQ37uDJOWMoqq3Eb5gEDJ\\u002f+afowpOS7gtVc8NEDXPvZEyQQKNfG8ySSsnWxaN37Wkt2dUovjFbp3HbzbcyYOWOf2Oue4+yoo46iT58+yaqoHurq6hg1ahSff\\u002f45U6dO5eyzz06WR95e9dSfEt6uxDHHHMNhhx22W40QvQVh3oKFdMkwadkiB8t2Y\\u002fhNg1cmzqcmGqd\\u002fswwGZGWQcBzqLJvCWIy+bZsn88jx+5ixaiMpPh9mWgrvzlxKpxZZ9OvYCgE8MH4m8zsEkdlpOJaNVwZcGAaoHRWZAITByuL1nP7uvVw07lHufPdZ1PwCL669FHia\\u002fdwB1xAHguruwftGHgNxMag0Zm5QTr+WQqakUVJdzo3jnuCJ2R9zaJse9MppR8gXYGtNBYuL1vNdwSrqaisQwTRQ9Su3cptDNEvNpKK2EttV5ZTtoFJ9qHMGUvv8dP7w+4uZMm0qbVq3+VE6e3rweoZnZmbym9\\u002f8huXLl9cvPq5fQAjBHXfcwYwZM3j66af5\\u002fe9\\u002fz6233pqsYus56zzt4KdyxHlS+eKLL8bv9yd7we8KvGcsLimhW+scXSSE+gJPbbJ1jMPw1i0xhe5YE7dtamybTrlZ4OhtRqs2yvTl+Qzu1Z6qkkomLl7LyQO6QSjI1KmLeax8C\\u002fLknqhIvFGMxQ+PkUL6UnAcmzcWjoexqyGBcrTa\\u002fh9gM27D2l0esJ8RB4pEh3pbfT1KvYwQgi1hm\\u002flbcPwCIQyMYIgNZZv5cOGX\\u002fHPSa\\u002fz1yxd5esa7TFkzh7pEFCMl3S0x5Upy2yI3lMWbp\\u002f+VOZc+ydtn3snx3Q7DidXqK8VtnLbpGKcfzJq1aznnnHOorqn+nh39ozycUowcORKgkYmgE0209B43bhyHH344ZWVlzJo1izfeeIPBgwfreG5Xyiul8Pl8SWnfsKHh9l57Cm\\u002fvv127dpx11lkAu+XD8Mbv4IP6MX3VZuIRHYGma3rbnH5kX1KCPkoj9XnxEvC5W2kJy8JnGhSWh5m5Op9+HVrwl1c+J5awuObUI6kuCXP11NnEjuoI1p5tMzqODQETY2scsWirTkZFlQFPcYCo7B4OJKJ7kMCTQCECyZR1DhURlCmwbQfpC2AE05D+VKQ\\u002fFSMQwgiEENJopKYJQDo2D5x4Oef3O55u2W04t+9xfHXhA9xz4uVgW7qaS9TGPqQt5sm9mD5tOldc8ccfXXJ6ZDz22GPp0KGDvr9tSOg5A0tKSrj44os57rjjCIVCvPnmmyxYsIAbb7yR\\u002fv37YxhGMlHEcZwk+Xf02lN493fxxReTnp6+23vnXumo340aSc9jTubpjybiT0tFOYqE5dAyM41DurZleXkY05BYjiLN5yPbNJm5ehO+7EzMtFTGzV9NJJbg9te\\u002f4v++nsuoI\\u002frw20G9uOGtL1nWJwszMwXH3WLb\\u002fYcEHAd74ipUwtYnUTyGts33u+ISO8MBY2M0gKcu3YoUD+Iom+O6GIzoA3WJxtsuO4AUEicRpWuLTsy\\u002f7ClCvhQQOk1UCt1J87m547hm\\u002fFNIYaAEKL+J8fES7G83ct2N1\\u002fPU408mI8B+jG03T03\\u002f05\\u002f+xIsvvohpmtt1\\u002fnnX84jVo0cPRowYwUknnUSnTp0oLCxkw4YNzJ8\\u002fn\\u002fXr17N161a2bt1KVVUVlmUltQPTNElJSaGmpoa6urrdulfvedPT05k5c+Z2fQu788wFWws5a8TJvHHZ8XRs3YJINE4oM8Str3zG15\\u002fP4\\u002f5B\\u002faiIxcn0+fh4UwEflZdz5hF9CNdGmLhoLZUpElUVRSYcJt\\u002f1BxZuKeH66nzkYR1xIok9I7mjIMUHCwvgnQXaqnBUHjAIqPXetfsn\\u002fnlwIBJduK9UBLOBPvgMh6sGS1qlo1stb\\u002f+xBFp6+qSBFalhSPcjmHjhv3XM83ZKQz\\u002f67Uf8ZfzTGIGUpCFmfrAEa+Fmbrvjdh74179\\u002fNLJ7lWfef\\u002f99zj77bF3IcieOP08LaPietLQ0jjvuOB5\\u002f\\u002fHG6d+\\u002f+vc9EIhEqKysJh8OUlJRQUFDAI488wty5c3fLHPHubfTo0YwZM2avfBbec9\\u002fzj38TnT2GB646k+qKatJy0rn\\u002fja+YOn4uN\\u002fbrTlU8kSzt9ELeeiaX6lwAAiZcczSivBbjqzy6t8hmRc9MxMC2qJi95zNcCIhb8NK3UFjt6LQ1dS7wLgeQbe7hQHLGefBs9RoUdyPF+8Rt+Hyl4uJBYockFwLlONiRGl3\\u002fK1pLZVSXXFZu5MnDsz7guy0refDEy+mc1YqbjzydvPICXpz1LmYwA0so7NP7YSQcHvz3AwQCAe69+56kE2pvbV6AI444gpYtW+rCkTtJl\\u002fWOe3a4bdvU1NTw2WefMXv2bBYsWEDbtm25\\u002f\\u002f77mTx5MkKIZCviuro6wuEwmzdvJh6P14\\u002fBLsK79qWXXrrHz+vBy0sfOvR4\\u002fjXmdey6CEKAsBWF5VW0Cvjdd4pkrcCbenWjasVqFldWwRn9sVqno3JDWB2asSJmQbNUVHwvSO4oSDHh6zworLaRwsBR3wDvc4Cp7B4ORKIDyYKoH+CoMQhxGqtLbOZtNjiyY7LclAchBMpKkBoM8dteR9M5qyXReITiaA0bKgvplNUKpRSTNy5m\\u002fNxxzC5YxQdn\\u002fp3D2vTg0ZMuZ3X5Ziat\\u002fhYjEMI2wD6rHzJhcd899xKNRnnw3w8A9aronsAjdYcOHRgwYABffvnlLp3Ls8M9mKZJaWkpb731FrfeeitpaWlMmjRph5\\u002ffXceid5\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lSRG768veaGQTYNX97xjIwM+vXTXUeklDz88MM0a9aMCy64ANi9Mk+NH0VfZ\\u002fDgwTRv3px4PJ6U3N71DcOgtLyMDz\\u002f8kDNG\\u002f45jDzmCO\\u002f9+J2ucEsRFgzBuPhF7UDvdsjqSqB+jHUEKvRh0agbpARaVVhJ1dIMHb2vl99060HxeAfb4FQi\\u002f8cMkT\\u002fXDtxth7DKFwAIlgXvQRR5\\u002fkep6Q\\u002fySJboHzxO\\u002fCPgdjhqLEK34Zo2Dz5DOb7ojCFBZFwYhEb7g3pG8AbxySZs2bUrmfW\\u002f3Bht40RtWd93VLTFPle7RowdTp07FNE3Kysp47LHHOOuss3j99df3eHvNs7fPP\\u002f98gGQ4LUBhcRHTp01n8lcTGfvJJ+QXFkAAGNQRc9BA7NbpKAF2woI6WxN4FyoAAbrKa8CE9lmsXVFKzHYIuG2YYrZNx7RUrunVjQe\\u002fWUXcb8DQbqjtxb47aJLP2gBjluJGQZkoHgTu5QDNL99d\\u002fBqIDvVknwucjVJjESKTCatsErahftsTYekoK7UbTrcdwt2jjUajSCkJpac1+FNjie6p1gsXLqRz586NJG9Dp9auIDs7O\\u002fk5IQRPPvkk77\\u002f\\u002fPsAehcF693bIoYfw22EnU1C4lfVr1zFn9hw++2QsSxYuoriqXEvTfi2Qww5DdMxGZQSwErau0OLp1LtK8AZQAmiZTvmyIsoTCdoGAtjocl81CYtDsjM5tU0rPpqYh+jfFrKCbgsmvJYv2iaftg4+XaadtAJvr\\u002fx2NMl\\u002fEZFvP4RfC9GhnuzTgNEo9T5C5PLNGpu4bajhvfU7nL3MZ8ZtzNi6OV988zUjTx2OFYnt0E7WKjDcfPPNvP7663To0IGhQ4dy\\u002fPHHk5mZmTzfziq3eotHMBhsdCyRSLBx48Y9fg7vvNXlYc48dRSLFy9hY9EW\\u002fcdsH\\u002fRpCV07Y3Ztjp0RwLFtTbSamNcVg70KvhQCslJwgHA8QftgMLnPppvr2gxr24IpRaWUFYUROSkoS7lri9Akn7QWxq\\u002fYluQ38CsiOfy6iA6ayiYwBTgNpT5EilZMX28Rt0xG9tX7qwlnjyQQoAuFxi3o35bi3BDjNi6HzeU7DOrwyLR+\\u002fXrWr18PwJNPPknbtm0477zzOPfcczn00EHJ91uW1cjxpS\\u002fp9kiPRLa5FdHoGrsL73N5JRvJq8uH9s2Rxw9AdMpBpQdQfgMkWDELamPJsOE9HrtGF3d\\u002fpvpQQMxR210yTAQ+Q0KK37tpMA19D+NXwqQ1HpkNNxvtFupXn18FyeHXR3TQnlUTmAmcgqM+QojOzNlkUR03OeMgSAtoZ9CeTlgF+CSiSy5Gz9Yov4H9xlyYnU+DLR0AggETKaAu2li13rKlgEceeZRHH3ua0aNO5Zprr2HIkCH4fXpCe2q9R2YhBCtWrEj+DfZi79yTxo6C0\\u002foh+rfBSAvg+CROwpXatgNRu156\\u002fhjk3h4MiUAXndj2aQxD8taqfArbpSHaZ6GiFvhMXSD006Uwb4vj1qCSKO5FO99+VZLcw6+R6FBP9oXACJR6EykGsKLI4pWIyXkDoWX692rP7RYUqLiNFbXAJ+G4rrC0EGrjSfdPSsDkqrP6E\\u002fAb+HwmRaW11EYS1MUsYnGbeEJRWVXLmDFjGDNmDMceMZjzLr6Qs889h5xm2Y0ut379+mT5qL2OgvNIfkJ3OLqT+xxxiFAvtb3FYF+nRTkKCaSaRrJNsqMUqabB11uL+bq8AjnqcJQh9XdVHYN3F8LaMt0fWzdVuwl4ggbW+z6+6\\u002f0Ov\\u002fTttZ3Bwstjh5Nw1OdIYVJQZfPybMWKIm3jeU6dPYEADKElYG4I+rVyD2t2mIYkMy3Afz5eyntfLGXpmiJKK2sxULTM8nNY3+b06dIcM9WPOLYL0zbM5+qrr+bgbr257uprmDZ1GmVlZeTl5XHppZdSU1Ozd62iPMnsKDiqI5zYHSKWlt7e334KckP9NWI2AggZZvJrMIQgbFl8sLEAckOortkoKXRI7H9mw9oy2yV5BPg9muSeUPvVkRx+vRLdg+egKwXOxFEvIMVFhKOK1+c5nNRDclxXsBVY9l7Y7ehzDGgDs\\u002fOTKnUsblMXTVAVUWS27MiKLaWUl24CJOmZWVSHVwOOtjkPa49xWj9YWcKWJZt45rXneOb55+jdsxfFZaWUlZYmw1P37B5dYecAgzvByD5uPbadB7bsSwgFqiZKKoI008BBudLcZHpJJUVWAtG3AyrND1PXwxcrIZKwkMLEUZvRJPcqxPxig2F2Bb92okN96eg64Pc4aiVC3IvlmHy+0qaw2mB4b0gPQHRP7XahiZ6bBjmpUFYHAixHUVVTR+dOHZg9ewbpGRk4joWU+msZN+4zRo4coQkXSei48G7ZiO7NkSP742yuZMUrM3UaBvVbaLuVd97QHpcCTu4Jx3XRWohnf\\u002f9cUAoqIrT0+\\u002fFLkZToAphfUakbcrTPwv54KUxdp1VyIUwcNQu4FFjJLzisdXfQRHQNr5GnAP6FUkuAFxG0ZsEWm81hyei+gp65muweKXYVAr1tF\\u002fRBq3Qoq9N71LZD82YZVJYupt+Aw+ndqyeGaVBbU0dVTR1DB7XlvFP78MmXK6lLuBpFXRwlBTYCo1dL1IA2HBRuxqtvvc6WLVt47LHHmDRp0s4LVIrkP5pMSkF2KgzvDQe11plk\\u002fEQq+g6hDRy1NUzLlCCmkCTcIiAViQRbayO6Vdb4lVBWayMwAIFSL6Nt8hqaJHkSv2YbfVt4WW8mMBb4DYpZSGFQUgOvfqeYsFq\\u002fM2DuftaUUhAwIEPvdXuCMivdzxO3DOWgNrWE86dRsW4SMjyf7hkb6ZOzlVv\\u002fcCj9OmZDdQyZtJG1mq3q4jiHdaSwppxWLVoyYsQIxo0bx6GHHopt2wQCgWSIanI7zo0uSxI8PQBDu8Gfjqon+U9lh+8MUiCqY7C1mvZpKfilxEFhAHWWRbWtPf6qrNZCCANFNYrrgCvQJJf8wsNadwdNEv378Jx0K4GhOOoehPgLtmPy9WqbNSUGw3pB1xyI2Vqt3hXp7qnBpi5t7Lh66Ptf5XFI7xZ0bJdLx7a5GIZ20gX8JkvW1TBj2QLWFIQh2grVMFNLCJyEhdGpBUW+Rdz397t59j8vkpqayr\\u002f+9S\\u002fOOussqqqqvn8fnjbSNhMGtIW+LbU0b5gu+nNDKQiYqFXFELNplxZCNvChCSGQ3kAITJSaD1wFzEF\\u002fd96i3QQX+8G3ut+iYQz0KcAzCNEFpRz8BhzbRXJMZ50RFXVDPXdmzyrAFPD2AlhSqEsg2bsxF4\\u002frAqf01mGlol7tFkEfLN9K+geryVu3htzmuQghkgUrVq5ciWVZzPtuLivyViKGdEX1yIUOzXQppYSjHY37gxT3oBQixYf6aAmhWRu5Z0BfuqQGido6scVWivuWr1arqmsxhHjOVupOoJIme3yHaJLoO4Znt0vgc2AISv0DIf5A3IaJeRYriw2GdhP0bamJ4iVVbEsYl+SyJoGzupjDDh1E9149eevNNzENo76ohSe0vJCOZqkwpAuO7Wjb3vJuyYNAJWxEhxyq\\u002fHEmfDqeiy77A4lEggEDBjBgwIDkO99\\u002f423OvuWPMKovIuHoBBCvsOL+IMUbQkpEOIrKK6G5P0DroJ+4o4ODLKXI9PlUz\\u002fQ0VlXXJlJ9vqer4\\u002fFKmki+UzTZ6DuHon4LbgtwCUqdhmAlQphsCQvemGfzxjzYEtYtgkyp1WO1zWkMiVpfDjGHk089hdqamuQFHEfpl\\u002fJe7rGQH2dIZzi6M3TOdnO4G5xWAJaDkR1CtAjw9Vdf6cNu6yTbtkkkEiilqK2tBZ\\u002fQjQ8iblNCuR9JcXBHW+kAI1tBWR2pAR+Zpg\\u002fbbeTg1o0TJ7Ro7qQahr82Hj\\u002fl7l9JBtreoInouwYbN\\u002fwF+ATFsSj1JELEERgsK3J48VuHT5dBZUQH2piinvCufa4WbCLFF6BX715MnDhRn3h7nnFvkUhYUBXVDrLEDuaxAGXZqJ6tWbp6JXV1dZim2agxhBCCynAYDLcyzP4mwaHed5Dqg0gCZ+4mhBRqQ22dPa20zEkzTWx3nYs7Dp1DqYxu2xIHjr9fiCaS\\u002fwCaiL7raCjdS4EbUeoYFJ8hhSRuSaatd3hmhsPnK6EqpvOgDQGGQFZGYX0pAwYMoKa6etei2CylJdvOShoLgRO3EL3bsmLtatatWatvdpt99KqqKjB1f4L9JjbM8\\u002fwLoccqbsH0dfD0DMVXq21lKxFxHOPZNRvk0nC1SjV0RKsQgjrblsNbt6RzKHWQo1SmFGxr1zShAZqIvvtoKN2\\u002fA0bgqLOARUghqYtLJq2xeXGWw\\u002fgVum54egBZHoGYonf\\u002ffqxds3bXCkFYjpbkP\\u002fBWZTvIjBQiTi0r3PLOHtG969TW1mjn28\\u002fNcm9rz1G6SGNQS3Amr4GXvlV8utymrFYghAEkDCGeqLXsCc+v3SDCiYRjuoujpZTINE2nV3paW+B\\u002fx3bAy9FtIvt20ET0PYMn3aX7+gA4Akf9CcFipDCoiEgmrXF4ZobNp8sRy4sAaNuuLYWFhbsWueY49YUUfuh9QkC7TJYuXAJ8P0U1GExxOf4z8cAjtxQ6DiHog4KwTiV9errisxUWhdUCKQwEFkq9ARxuK3VTi1Do4i2R6IZPCopkUApHufa6DVJqtX3U3AK6sXuFn39VaPK67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sJkAI9g+AH19fUxEwDiKMbmJ9MHcGFAEevqLmujovwGkQk8ZTyifz9OC2NruXNDNvb1FdaBvWL\\u002f6oi5V5VkQso2J20CiDcRtxGgHUQsrZEnAZmiHiJiZCSwUGJ4Q7DGhQkzDGjxIjAEStB2R2J6NqltOu7ZY3d9z9vf3yOmbdtAGLNJHq+VPhZ4yZuTzebEIG0QsaI39COb7qy\\u002fItfntM6qMY6TEPIBPAHAcER0PYC4x2jRzE4EcEBzbErAtCUsKEAEcPyLz6IcmIhABBEKkNEKlEIYamrXPTBUilAFs1cyPCsJm1uoP2rKeEUP+c0v+V3Gw\\u002frE4nxcbsEEs6tuojhZrnwo95bBggMCMvr4+WrBgM\\u002fX0vNgF\\u002ftH1K1wHe06MQG8SkhcQ08kEHAfwcY5jdTuWhGYGM4PZiFcxgzVDx\\u002f\\u002fPDCZAA6zjBydz1e5z6TKjdh8gIgILgIQgAgmCIIIQBEEjN4VSNfAIeARMmxn8WxJyXbuV+eNbL785TB62v79Hbto0n\\u002fsKBaYpbOlToaccCtTf3yOmb5pPiwuFaN+\\u002fvOOG5fMk9Ks1YYGAOBWEtwGYLaWwXVtCCkIYaYSRhtJKMxMnmmUwERK9jros624fB6Mzqv9Q+wYicw9gAMRk7gcC0rElHEsiCBX8SEWs+TFL0I8Cpe9yRHj34iuLpeQx1ucXWosLG9VBvpBJRSr0lAOSz+fFggWbadOm+VwoFHT9361fdenMiKNXA7QEwEIhME8KMSuXsRFGKhY0g5kZDM0EJgaBmJhJAKhJhuqvRDJ\\u002fSBjLC2H+u\\u002f5qrX197M\\u002fXVMwAa5jPaYAVj5Il1z0fw3gLTGACCyISlhTIOBYqXgSG\\u002fqPS2EhafePu3Vt+VyhsjADj2vcB2PfnMZlJhZ7yIphBG\\u002foWykVYpKnuYu7\\u002fck92WjbzLqHVOwDxdg2c5tqyQxCBiJJzMQOsCEQMiMS+jgiRQZLiP7GAORYgc02oqqoQVTRUVSOqKqiKhvJ1LGKAIwYI0JF5PCEBsggyI8yfrIDVImG3WBB2fMMgAgnz\\u002fTpicGSOCRC10wAzM0CkwJAZV5IUBM+PQER3Kc23VXbm+t9buLkCTC0Lnwo9BYCxUliwmWifqPja1ZccqwN6i4B6LxEtAmNuS5MjlWZ4QQSlNIPAxMSxpSaY4zKIqGaNScKIWxBUVSEcUgiHFaKyQrAngrc7hL87gr8rRDgYQYcMHTJY8YgowXWK4tq\\u002fzUVMsSMQ30QsgrAJwiHYLRKZbhuZLgfZWS4yXRbsNgtuhwXhCuhQx6I3kQAyUT1mMBMTMyByGZs0Mzw\\u002ffEJKcRNpsWbxlbdsA8w5\\u002fuWyCRNNKvRXLsTMKPb2ip7++Uw0Yrl\\u002fsmr5SYLpAiK9kEBvy2XsWcwMpRihUtCMiBiJxTbJ71iBwgLIFhCSoEMNFTCikkJ1W4DqVvPH3xXC3x0iGIgQhiP6oBf9O\\u002fn8qHP36DdBMBY++QTXfxh9Y0j+W0LA7bKRneEgN8tGyyk5NB+fgdUsIBwBjhjKNx5DLe7HUCAm27KEYwl4QfSk0urGJ3YO3XR54X8q+TwEkJ+07nwq9FcetD6\\u002fUO6bOrrzq5e8hpgXEfB+Bs7I2DJjWxJeECGKtIrlTGzKWojZWL5RLjgBwd4I1W0BvO0hys96KD3tobo1hA40NBjamHsQCAKxK53AB\\u002fCBD8U53t8Noe7zrI3sdfygEgJWk0TLyVm0L8ih9aQscrNdMJkjgg45dv3NdzMTO7aQtiXg+fqhiNX\\u002fWXrlmn5g8lr3VOivAJhBxWKP6Nk0n+vP3Bu\\u002f+uG5mu2zQuYPW4JOzWWczkhp+KECs9YM0gQWYBIc+8hEgLDIuLyBRjis4O2KMPRIBcOPVeHtDBDsjhBEkXGja\\u002f8k32\\u002fMYy0NPlGn2\\u002frXEgs\\u002fORq4zTZa5mXQ8fYWtL8qB6fDAocMFXDtZ8BgTUzsOFICQBTqH1TC4K8u+Mx3\\u002fpjP5wUwuYJ1qdCPYhigDfmFcnEcLQaAO765vEkO4kIhcKHWuDDjWi1EhCBSiJSOADaxbkYtISUsAWEb88+hRuUFH6UnfJSe8TD8RBXVHWFNJiOWuk7Qkz5UhZqAAYLWuuZ5ZLscdJ3aiq53tCI3ywFr49YnFp7BmgDkMo4IArVLq6jvzBW3fxWYXNY9FfpRSFLkkViU\\u002fv4e2b7LOVVq8QGG7rEta55rS5S9EJq1TgJpieUmMoEzYRu33NsVwdseYPDRKvY+UEJ1e4DQU2AAMrHXiaWbaEs9FtS9F2bj4js5C52ntmDmwnY0HevWgoXJ0YMZypIkHduCH0b\\u002fSSVvxeLPFbf19\\u002fTI3uLEiz0V+lECM6jY2yPqmzTuuPED3VLlLiIhPgjg9JxrIYg0glAxCAqAJB4JppEEZMYEo8IhhaFHK9i7qYrhp6qobvVjK2f+EQKI81FTW9QvRyx6rRkKDCcr0X1aG2YtmQZ3ug1V1bXQPzMzCNyccYUXhk+GUXTF0hXfuqO\\u002fv0f29Bb1RFbWpUKf4uTzedG3T1rsp1+9ZCGIP6g1X5xx7E4iQsULTSkpMcV1YgQ2bjlZxoIHeyMMP+5h4IES9j5YRjCkoKGNsOOy0aPCYh8OdYLXYGTabcw+twPdZ7RBSDLufGLdNZTrShmFKlSar1ly1ZobGaYsZ6Jq51OhT0EYoGL\\u002f6ODaT\\u002f7tzzocL7hQQ19Ggt7dlHFE1Q8R6cQ1h0jO3USAcAkiEfeTHnb\\u002froTSU1VUtwXQYHPOTs7aXBc8e6VTJ3gGY9qrm3HsB7vQfEIGqqJrXwOGIkHCsSUFQfT3Z11529\\u002fG30dE1PCfZir0Kca+AZ71qy99tQ7VcoAudh05DwC8IAIzFOIeDo6vP+ka4eqIUX66ij1\\u002fqGDg\\u002fhLK2\\u002fyRQFpc5XbUu+RHShyM01rDyliY+95OHHNmO1jH1XrC3B+JwM1ZR5Srwb+LBSd+avHiQpTP50WjI\\u002fKp0KcASXqsXuDrblh2OgQ+Lki8L5ex2vxQIQiVJtO9ISix3gKQrgAYqGz1MfjHKnb9egjl532EgYJIxD3yXCmHAAlTTafA6H57G+Z9uBtWk6i58rHYVXPWsYbK\\u002fpq9u4PLevqKYVw52LCfttWoJ0o5dBKBExUVUFSrV3\\u002fSPiUqf1ix+JgUONN1LHhBhOFqGIFZEpFIGjuEQyCbEFU09vyhhF2\\u002fHMLgH6vwy2EtoGYLWbPcqb4PD+MtESQRdvxqEN6WACd+7Bg0zXWgPI34HmoNVwLV2uQuk1KEAF9mhmYY56kRrzO16JOQfS34d\\u002f\\u002f5vS1NmZYeKekKy7beYgmg7EVxKwgREYg1j6TEBKG6NcDAA2Xs+tUwSs9Wa+duIWhyBdSS\\u002fDXVxQJ4n78XL\\u002fF3kwwSQKQ1Mh0OTv7TmWg9JQsdcq1lloAol3Xs4bL3dbvF\\u002fvSiP\\u002f0Pf7zHZ9Ve23g\\u002fQcrBk8\\u002fnRV8fkNSd\\u002f8+qS2dmiT8G6I9mHPvVWmt4QcQE0iDIpOuLJGBlBKKqRulJDzt+MYjBhyvwBsNRBSwTfu5ORJ28DAZ0XU1a7bXWNZObUtU48g8BQSPfO+kgmABnFMHN2FjwubnIHuPUOu1iwrZm195b8v\\u002f3kitv+7tGFdWkrvskgBmEYo+g3oIqFID11398jhbep5jUZVnXnqkUoeqFiokpds8la0A6pksrLCls\\u002f\\u002fUgdv5qCIMPV6GhIUCw6l1zPXHKoFrgykyQAUytu7QFWo5x4U634XaYjjK7WUI4AiQArRiqouEPRPC2Bhh6rAq\\u002fFNbiCpMpnkDCvL8g0mg9Noc553cgM902\\u002ffB15pRNn4AWxCcCL55mO16kQp9A8vEAA2PBi+qOG5bPs218Moq8P2vO2dP9QKFcDXRcly2hTQWacEwzSXVLgN2\\u002fL2HnLwZR2RGAwZAkYJEwVV0TJe64jjwZEaVZQzOQydnIHGOjZV4Wra\\u002fKInuMAysnILMSMmPuBqxHex0kAAiCqigEgwoD95ew5c4BeAMBBIkJt+zxAAtEWsPOWphzdjtmnTkNVqs0xTT7gRmCGUEjX2cq9Alg5AxeUAWYnm+E+LQlcGnGsWb4iFCqhAqAqAXYAFhZAdaMyvM+tv9sELt\\u002fV4I\\u002fHI5Oi+kJjJwnAteMiJUJ+GUlmk\\u002fIYdrrmkxX2BwXZMWCjvu\\u002fOWKEwyMVZqNPlEb4JAlOu4VZS6eh403NePLWHdizaRgyvqlNyNsVgIpvpp1vaMHcCzrRfEIG2tOIynp0Z96Lvrmxx+ZU6A1k3yj6HTcsnyeEvgohX9aUsVv9UNUJ3LjnIEBkCNDA4MMV7Pj5IPbcV0IYqdg9F7Ug1URe8KwRD3rUsCyJzlc1Y9qbmtH+2iY4rcYdZ8XQAYMDftHoKKKXuu5HPs8RIwwYTruFk\\u002f\\u002f8GDx8ncLeJyqwSL5oKux4krzfUGs0zXAx5z2d6Dq1xQTjysq07x5I5BNAKvQGsK\\u002fAv3fdR2a0uvanwPhExnFnVYMIlWqoYM7gMilwsbICytcYuL+M7RsGsfePZSitTf+0SNzzCXpTdY0fkTYxgaaZLjpPbUb765vRNNeFsAnaN+Oaooqufc9LavpgnlMCymdYOcJxPdNR\\u002fsrzUMmNY7y1Hg+iiLSGZQnMWdSJWUunwe2woKoaGnGGYBKSCn2c6e\\u002fvkYnA13\\u002fj0nZVUpcLQVdmbGuOHyqUvDACII0FN91iVk5AB4zdvyth24YB7P1jxZy\\u002fIUyATfPECRwjgSfFDAGBjvnN6D6tDe2vb4KVM8cL7TOiQNcu\\u002fLG0cCSBqMpoOTGL9tc0Yef9QyOezThRe89gtJ\\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\\u002faPrz3Vt0XVpFOLzzTn7+IofxYE2CAIJ1qaSTVqE8jMetqwbwK5fD0MpDUnClHJO8BkcGHFXNTOaZmUw+\\u002fwOdL6lBSTJVHhNAgv+IgiIKho60ibwdxg\\u002fw\\u002frjSVN3BnPe14mutzYDAKJyNH45cW6s05YK\\u002fRBIJrtQcg5ftfxcKeh\\u002fu7Y8LVKMUiLwuNiFpOkF97YF2PrTvdhxzyBCT43kwSeDwOty4dkOB7POnoau01phNxt3tX4A4kTBpvMLqHMkGAAEIdgVjhTUHQo178UU+BxzpsmJO+1WrXR1XOIOzEyAAnFDtZcK\\u002fSDp7++R1FtU6C2qO6+76GTbtv+GwZc6lkTVjxRQV+wSp8rCYYUtd+zG1p\\u002fujZsx6gQ+GSZ+x22V0hKYdUYH5pw7DU6HDe3rkdzwBIg8XoCmAWaKPaNR8+oAc9cFUH7eP+THr\\u002fde2l\\u002fThGPf14WWk7Jx9kCNW2CRgUgKYTu2BJdpAACKmzc35BSUCv1lqDWe9BbU9\\u002fMX5JqnT\\u002fsUEX0u48rushfC8yNVH2iTGQEOGTt\\u002fPogXfjKA0jZvVKnqZBC4udDNGKRppzRh7vs60XpKDjrkCckNMzMTSLMZOU22Jcl1pJRCwA8ieIGK22P2kSAB5Wc8E4g7iG62+iBjtt3B7As60H1aK8iiuvc9HlbcjPVqztpW2Qt27xqs\\u002fEvV1zczM8WB2nFnMsRUJi35\\u002fEIrWZW7ftXyc8migiOttwVRhDBiRQQJmCIW6ZqI+eAjFTz\\u002fw93Y+3AFACCTQQ+TpKXSBJ00LFdi9nmdOObsdkiHoDyuzUFrFKa+j7QlyHJsC8yMSGmEkXpaEH6jQX8E6BnSaisLLM257jVVLzRjqi0g2Kuw6YvPw9sTQBzojB676ZFmSBC6T2\\u002fD7PM7kOk245qTgZlj\\u002fv7i8c851xZVP2ImfE1E4p\\u002fOuvqbT4z9sx2YVOj7oX4YwI+uXzYn51h5gC+TkoTvq6TghWrn8IxA5YUAW36yBzt\\u002fPQQV6VG58MlAzYpDo\\u002f2kHI7v6UbzSRlzoevGWfBklREJko4tYFsSpYq\\u002fl0EPMvM62xY\\u002f8svOk+de+7U99d+3btXy\\u002f2jK2JeWq6FiZmk1Sez+TQmP\\u002fOsLBwzEkRjZvNI2L4e57+tE+4Im6IjHLf4Qr2vXji2lFAQvCH9qCfQtumLN3YC5vnp6RubvN4LUda9j3xFO61Yt\\u002f1NL0hccR8ytVEOEEWsiksQmUm7lBMKSwra7dmPL2r3wh8PRgbaJfkMxSepIWgJzz59urHhG1lopx1vkzGbQNDFxxrGkJQXK1SD0A\\u002f6170f\\u002fyeC7lqxY8+C+L7s\\u002f32NPx3ytpz82WzN\\u002fqBpEiLMZYMUYerQCBW1m3+07o6WWE1dwm23MOqcDMxa2mUah8cuJMxjakiQzriWrfvR4FKkvnH3l7bcCI9mapKiqkaRCj+nvGWk+uWPVxW90hPX3tk3nRxGjXAkVkekNT\\u002fLhIMKe35fw3A\\u002f3YPjp8uQLtCWQOZM2z8xg3rJutM1vgvaUGVw47gJnBpGSkizHtogABKH+ox8GP4RQt96941UPJWOP8\\u002fm8WLBgM23aNJ\\u002f7+gpMBJ6OHXpxoRitW7n8I7mM3VTxAlOXIIBoWGHP70uQEC\\u002f6eSfHEwKh+61xTnyOi8jT45YTZ2ZNRKIpa0svVAOlanijL\\u002fSXL7jy9gFmEPryRBO4dPEV77ozg4A8ERV0f77H6erO\\u002fKWQ9DlbitaKH+qk9ypxb2VGoPy8jxd+uAe7fjsEZlPRNtnmmCVRagWNGe9sx\\u002fEf6oLdYpka7XE+iye9dbaUIuNYqHhhWTNvIKKva42NS1bcujv52v7+HrnvllfAZKH6+ogWTb8iF\\u002fHgL7Ku\\u002fXoviBRrSCsnsOuXQ3j037eOmt9QfzxpmZ3BnAs70fGmZoAx0so65u+bNTOQdW0RKsVg3F5R+MJ7Vtz6KACwydZoTPDV8YoWOufzIrnA7vrq8tOEEP\\u002fk2uJ0z1fQmlX9AEYrI6ACjW0bBvHCj3fDL0ewIPCitM8koD7gduwHujBzcbxYYJxz4slmUdexhCBCNYieYcZtEPT\\u002fllxx6++Tr1ufX2htwCJ9oCUGSZzkp1+9+MOO43y7GlcZMjOkI\\u002fDoTVvj9tR46EScE7cdiZlnT8OsJdNgt9SNcxr7K53B0LYtpCUlwlD9IozUPy65as0Pk9ff6HP4gXhFCr3+LP7L65e1Viz6PEDXOI7MeF40KtgmLIJwCIObK3j2e7sw+ERlZGzyZHLREwSgtELzrCxOuGQGWk\\u002fJjl4VNB4wFINFxrUJzPDD6LeC6F9LVfW99\\u002f7Ft3YBo13zg9lSwgza0LdQhh1zfpHN2qd6QchgEtIllJ72sPnLz0MH5sallElrdLyuBXPf24nmeRloX0OrcYo\\u002fmHVLMpexUfWCZ4jEPz+9nb7xscItHsfdixPppu+PV9wZvb4+\\u002fY5VHz2jxPr6pozzxooXwvNMTpzYRHGtnECwJ8QLPx7A9rsHEUUKMr5yJp3IYxErrTH9ja2Yt2wGnHbr5WeXHRGswcSua0lmRhBFv4Hmr8idzxeTnezc3yOxH9f8QCTDOu64ftZ5GVe+NQgjJiQrnQm7f1NC5CtIIRAqjaYux4xzevu+OfExfrdgTSDkspYsV6OgUg1uVBx9cemKb2+pve4JCLQdDK8oi564g99f\\u002fclcNiz9FUH8tetYVlz0UttTJm0CJGH3b4fx7Hd3obzDn7RuOgAzhCHO6cw5txNz39cJYPxcdWYwwbittpTwAvV71nrl7hn+N5OMxZG4rsxM6OujdZ1P\\u002fKgpa59TSXLnkhAOR3joH55DdTCAlAIzz2jHrPM6auOcwADGWuBxQY\\u002fjSMkMBGH0Ay2twjlX3HJf7b1O8Frkl+MVYdE5nxfo62MiUj9eedE7naj6lVwm8\\u002faKF8D3I1P4kkxazQl4O0I89z+7seOeQQCAPUnq0vcHEaCYYbkS8z4yHdPf3QYdaGC8cuMMJQXJbMaS5WrwtNL6H4dKzrfe\\u002f1dfHwbqLvrDXEpgPC7SG1ddfLojrbPLXsCmtJhhZQRe+OEgSoMeOk8xU1fbXpOFDlEr2R1L05Xkw21LSseWsuKH93NEfUuuXvO95LX2YWLSZYfKUS907u+X1Nur8iiIdas++nkh+G8dS2bL1UBxXQOKsM0wiO0\\u002fG8RzP9gNbyCYvG56TLICKNft4uSPzUTLyVmTPgLG3FdjU6\\u002fJuawjq340XKqEK0MdXHf+lcWdwOjRWUfyPH0w5\\u002fO1q\\u002fD5ZkvIUGkFhhSOQGVLgIEHyzi55xjMXNQG4RBUlcels84sWSCRy9qy6qut5WrwJWuXdePiwi0eM6hvgtNlh8pR67rn88aBKxSg7\\u002fzni062WuwbMo48t+pH4LqIOgDIrEB1W4Bn\\u002f3sXdt03DAImb7AtJhF5+4k5nHTZTLjdDlRFgeTY\\u002fko5ji47tpCCCGGkfqQhPn\\u002f2p7\\u002f5ADC20eXkZnHXjcvPFERrTeNJPH5OEKrbA4CB5uMziCpqXCr6GKzBoFzGpjDSvtL8H2E1+Ptz\\u002f+I7z9W9xglPlx0qR6XQR6XNbrzkYovoy7YtZ1aqoWIzM50SK06SsPOeITz7vV2jrPik\\u002fTUmI4dZY\\u002fqbW3HCJTPMUEl\\u002f7M\\u002fjcREI5TI2VYPwOa34fy9ZseYWYHzSR8xMRMR3rrz4juasu9SM3zL9BADiKj4yOfExf69J2aq5oUUad\\u002fpaFc799G33ALW+B4XJe2UckKPOdec48nn3jRdP8xVd50jxUaUZpWqgBZGkuMHEygn4O0M8+\\u002f3d2HHvIAioVbZNWpLIOmvMWdqJY9\\u002ffCRCNj8iBKONaVhhpXamGN5WHoi+872++vT1xW8f6XGoqE0nddf2ypdKSS5Oz+ajXpAFW4yJyJSXJrGvLqh8+rEj\\u002f3Zmfum0NYG5ocUowGttnbSxHjUXP1019+fENy053Ba3KZOzXl6ohk2ljHGlCcQi7f1fGM9\\u002fZicoef\\u002fJbccSjluNo4HEfnI7Z53ZA+fVrjMYGZtYkgOaMK8pecD9H+rNnX337emB0s89YYm4e5l28u\\u002fPiO3NZ96yqN9qajwumfVQ2ZW1UquGgAH8Ztr5p8eUm99+oTaeN4KgQOnOSGwfWrVx2jWWJv5NSNnlBGBHIAow1kFkBVVF47nu7sPWne81I5Ul+FgdQS58JizDvom7MWNQ+LkUwzFCOLaXWGor1DTKw8os\\u002fc8ve8a7y6u\\u002fpkb3Folq7avm5jiV+GEYaGPMk2QgmsEg641oyCBQUq9tCRf94\\u002ftVrNgNHl8ATprzrboorCuonX+7pyGQz1zu2tdwLI0R+pIjIqk+bDT5SxdP9OzD8THWkjfRgRR7P+W70jvGk88zOSJz0pzPRcWrzeBTBaGampqwjK374DBSuOfuqNd8FGnPRb5o\\u002fn7m\\u002fR67dhs9LKUQQKT0eOwhHzuGWtCTJqh\\u002f9ImIUzl1x+1qgPu5wdIkcmMIWnRlU7O0RvcWiWnfDRW8Dya835ewFpWqgzVQn1EpYIYBt6\\u002ffi2e\\u002fuhPI15MudxesHlMVFMswMBQ0BAdmg3dyJu261SJzyiVloX5CDKusxtXXMrC0phG1JeEF0e6D4r86\\u002fes3znM8LFAo83kUgyY1k3fXLL3Rc8d1AaYDH3JozGFqY\\u002fD+q1fDJCPqf7AUvfGPx4o1RsnTjYEpzpypTUuj5PEShAOOq37DscmGJL9mWaPZ8VTf1JQ647Y7w1Ld3YNfvh2FWbe9HpPEEEsQrf5Mqs2RUpwDB7bDRcnwGwhHY9bth6ECP6+bbpDHFbXNwyp8fg9aTsyNFIWMEM1TWtWSk9B7N\\u002fNkzr7jVRNRjV3rsnuklIQawIb9QRl1z12dd690VP9SCxu5dxmWrlMvY5AXRsGb+Kg\\u002fSl5b8temgq8\\u002fQHM1MOaHn83lRKBQ05\\u002fNiffcTX3Zs65og3KfbjMyShD33l\\u002fH0t3egsrMu4IbRlhqILTbMFBIJATsn4bRZyB2fQcuJGWRnOMge44BDxmNf34ahxyqHPV74YKgVwkx3cMonZ6Hp+AxURYPGKDTFDCaCbsrY0gui33me\\u002fsR5n13zu0ZbtkRk61Yu+4DjWP8VhNEYZsZN+6jrWCIeBPldpdT\\u002ft2TF7Q8CcQ3+JC9bHUumlNATka+\\u002fftkcJbC6OeeeX6r6mk1QvVanzgRsuWMAz31\\u002fF1hpCCljVRuLrcHxZg\\u002fz9p2sRO5YF03Humiam0FurovsDLtWfCKzEpXnPGy+7gWUd\\u002fqwafw2dyYiz3a5ePUVs5Cb60KN4bAEBmtJQjiOhOdFt3pSX33BFbcPrM\\u002fnrcUNTCElabpFeNoJOsP1TRnnHbVBm0f60AxtW0LalkQQqd8rrfNnf\\u002fq2HwCmRXZR30Y1WdpHG8WUETrnIdAHXnfzJXMpxJ25jPWqkUUJcTNKlhDuVXiqfwd2\\u002fWa4NjCQMSJu27LgdtnIznDQfEIGLSdk4HZasJolrGYJMKADBisGRwyZEyg\\u002f6+PR1VtQ2RmMa649cdczHQ5edcVsNB\\u002frjukyvySqzprLkYr+6uwVt38VmJgoczJ4c92qZR9ybavoj4U1ZygSkFnXhhdEzwP8xV3b\\u002fa\\u002f3Foql+vTrWLz+qcaUEHr9KJ61K5cXW5rcDw2XvZCI7ORrrJzA0KNVPP4f2zG8rWp6xkEQUsDtsNByUhbNx2eQm+UgM8uB024BOu76igsxkrljRCNn\\u002fPIzHh65cQuqe4KXD+IdAUngzW6z8OorZqPlBDO4cazCUgyOchnbCgP1hGL+6Fmfvu0eBghmAmrDrRsz04a+RTLonHNvLmO91fOVJjrcd8saIM66lqx6kSLCaousf1r46f+oL1s96iLph8KUSK8Viz2it1BQd6y86CMZR36oVPZN6ixGWISta\\u002ffiyW9tB4PROiuL3CwXrSdn0XJSBm6XDeEKCIcABahAIyrHAwKTW11dYwSrWOTP+nj4pq3w9oRmXNR42YJY5DIjcMrHjkHLiZmxDbwxVHPOtcqef2\\u002fE9NFzr7zt8fX5vEWFgsIEiLxWBXfDsp6sa73V8yOmwwjAJeky17GkIKDiR3dqll84Z8UtvwCO7nTZoTLpLXo+D9HXx3zPTZdM9xi\\u002fkULMjZTiejdvx92DGHigjPbX5dByQhbONAtup20EFBo3PLHeAB14dpgGREag8oJvLPlOf1wteRIUFJJw0ieOQdepzYhKYxN4Y2aWQuiMa0nPi75J8D69+MpiaSItXFIFd05rj1t2nLuzrv1mz4\\u002f0oZzNE4HHZauoVMPNSuu\\u002fW7Litm8TESfto0dzuuxQmfQWfcGCHiIivXblsn9ozjnHliqhSmqgSRCUpzHtDc2YeWa7WZ\\u002fLAEdm4wjiDR7JYgJ6mSn9rM3wR2+rj0dv2oLKTn98698JQLxb6ITlMzH9bS0IS2pMRK41syUFSUmy7IVfWHLlbXkgjnRPYP90sdgjCoWievfKzAdyrnxLxQ\\u002f1vjXtB6I2bTVjy0oQDVT84F+07a9cenlxEFetoVdKuuxQmdQWPbE8d6665HzXEv8TRVozePRFEa\\u002fR4YhrkfDDmvapAeEKeDtDPHzj8yhvGWeRA\\u002fF8N40TPjQDs86bNnYVbwxlWUIysx8F+vIl16y5hTkv+vom3soxQBvyl7pRZ\\u002fTrjGu91g8jPpggXDJZNuvaQkUqihRuqQbqHy747O1PAlNjystEMmktej6fFz094LUrL+kUhC8TgbTpmhz9hWwCabWil8NBA8Il+HtCPPqvWxoi8iSNNndpF2adM23MzuTMrFzbkkrrwVDpjy69Zs33zZl44qegxKOP1brp6iNZx35dNQj1yy0lrp3DbUsKQQgjvTHydN+Sz6zZkDwm0nP4yzJphb5gwWYiKqo7Vy77m6aM++rhahDVB+DGDAbIJoTDCo\\u002fdvAXDz1cbJvIZ72jD3D\\u002fphPLHZs+eqXSzZRiprdUg6j3\\u002fmm\\u002f9fH1+obW4MPEiYIDQU9T3fLknW9L8Fxr8sp13ZvsoWdmMJYNAPeoH+ktnXXnrvwOoncMn6zDGycakFHpyjrxj1cVnWEKsKHuBpvF4rRogC9CBxmNf24rBpxon8o75zTjh4hkmpTcGrabMrHIZW4aRflwF4QfPv+bbD\\u002fT398jFvcVJ0Udd7O8RvVRU61Y6y5oyzoLa1pX9kExbbc7aVsULhz0\\u002fujEo87+c85e37QAm97TVycqkO6MzMxWLvWL6DmQjcjdmbflmz1dj35vMgNniBTz6b1uw8\\u002f4h2HI\\u002fO7zGkKQgpumYDOZ\\u002fdjasFqs2m\\u002fxIYIbKZSzph9EDQRUfPPfa2x5P3OSxeeVHhtm60kdv73i82ZZ0b8aWr\\u002fED9aJIe1Kam3EsGSoFFfF3iPGPZ1112x+ANB9+JEzAmvuXoa+PenuLSsG9tsm1x0\\u002fkBAgJPPnN7dh1\\u002f\\u002fD+F\\u002fWNIUSA1gyn1cbJnzgGdtvYiTybsaUfqIcCDi8499rbHu+fRCIHgGJvrygUCtohXNSUsebvK3I2fUTKsgRlTf39b6NQX3D2its+ctZVt\\u002f2hv79HMjOlIj98JpXrno9TI+tXXfxGTfhfVT9iHHa11IERrsDT39qBbb\\u002faO77FMIDJ54MhbMJJfzoTTXPdMVn2l7jrQaQe9CJ9\\u002fvlXf+f5fH6h1TtJ3HXA5M2JivqOLy5vUsTXmkrXOk+SoYSAzLqOrPjBtkqV\\u002f2Eg8P+999piNWmyMWOrJp3zOaWYTEKnvj5gEfJWxE9cl3PtTMULa22nY0VS2vr8D\\u002fdgy08HGjInzpS3AvN6uzHt9U2mE+1Ib18MlXNtWfWjxwIlPpD0kNMkm21WLPYIoKhEhi\\u002fLZZyTK36gCSSSaatNGUd6YeiVPO\\u002ffbNj\\u002fsHjFLduAV077aKOYNLfJ2gCClZdck8tYXyl5wZj2JQMjIt\\u002f5i0E8dss2Y1jGW+Rx8G322Z2Y95HpxpKPQeAt49oyUuqRahC85\\u002fyrv\\u002fPEZDqTJyQW+Z2tm9vtjHuvbcmT\\u002fVApMCjjSKk1QzH\\u002fIFLhF5au+PZvgcm3nPBoYVJY9ETka7\\u002f04VOE5HwQRVoIjGnpAyvAahLY+2AZT9y+3TStjzOJyDtf24zj\\u002fqQLyuMjvrMys3YdSyqln69EeO97JqnIAZMi7e0tqrWrli\\u002fPZexTSpUgsCzhuLaFIIweiCLdd\\u002faKNf8NpHXp482kCMZt2jSfmUFsW9e5ttUeRczgMZwyohkyK1B6xsdjX98K7cezisbTZpCZ9dY8O4MTPzrT+E6aj8iHYma2LSkipYdCL+x9z4pbH51sgbcaDOrtLer\\u002f\\u002fsql7az5aj9QaMo4Dmve6QfR5\\u002fYO2e8+e8Wa\\u002f2Zm6u8xN\\u002frUio8fE27RjTUvqHd1Lf9YU846r+qNyfCBEdgsaggHQzz+71sRDKvxn\\u002fwaT221cxInfXQG7HYL6gj7ypmZLSkYQKA5Wr7kM9+6d7JacgBY37dQLsbGKGerj01vy52wa29FR1p\\u002fjTV9acmKWx8FksGepABMyvdwNDGhZ\\u002fR4YgyvXX3JXEvhXiEw04z6HSNrznFvOQGP3rgFuzeVGrOkQZi205MvPQbdp7cecQ07MyAEtG1JUfHDT5571e3\\u002ftn593lq8eHIF3hJMpB3849XLjrECPODY8qEoivJnXXn7z4D0HD4RTKhFX7BgMwHQOuB\\u002fymTtWcPVgw\\u002fAJat7kxVLL\\u002fV15BCeuX1nLHIJ1uN7bSXn8jlndWL6u1qhxqBRRRCU61iyWg0\\u002ff+5Vt\\u002f9bPr9w0oocAPr68gQU2IrEGQTV99M\\u002f\\u002f+ZNBUBzHJxLq9oaz4RZ9Fpn2spLejK2+E4YKc04oMvOzAwCaSawJLJcR0Jphh+oF0WyWZvg25afDODJ4vbGpNFikU97VRNevWJ2fC7HkZ3LwVFL1rGGquHKpVfedtVUWvK3evUn7csvvzkE0nTZRDMhQuc4+Hz3DR\\u002frCq3oV5ak44NIcX0nU81iExgMKQSRJQUcW4IIGC77HhgPgVCWUpyuFVNSiMEKkDmBvQ+V8chXXxipeBvn4Bszw223sOAv58LttKEDPqJwJzNUU9aRVS\\u002f8wZk7T3g\\u002fAPShgGTU9VTA7KYvcOqmTywTI\\u002fSeHknFolp7w7KbmpvcPy+VfQUiQcQMJmYAQkC6tgVLCvihQhjpAMCjgL4HoHsF8Mddvv9Ap+v+P8eR5\\u002flBPFwwDr55eyJs\\u002fuJz8AfC\\u002fc9yH0to5M8pnzwGnW9pMefyIwgpamaddW3hB+qhyHcWnnvt1\\u002fYkZ9+xetkprxwafkZP0kF3rrzoHMeWl1X80AfBtqQgSxKRIFhCYLgaeEEQbaoy3y+If0WCftYmm558a+wKAsCdNyxb3dLknjdY8kY6oQSgFePJW7ahOjC+U1sTiOLe8nM60fnWFtNbfgQiZ7B2bSmCINrDrC82Ih\\u002fZL5eScqg0VOgMEPUWVf+qnmZB8ssZx3KYgSBSCEO111N4gYl\\u002fIQStB+tNROFTS1YUS\\u002fWPsX79Qmvx4o3R2usv+lQ2Y39yyAyKHNnOkiU89a2dGHik3NBzefvJTZhzYaeZwX5EuXKwlAJK61CFdPHSz9z+YLJfbuxedcorjUYKncB5AhUwjZ1\\u002fzLr2gsGy\\u002f2sC7gPwKxfi3jPi\\u002fGo96\\u002fMLrZ0Lurmnp6iLxR6xeHExWr\\u002fq4jeSlP8cKaWZWRBRLfi2854hbP3pgBnoON5ObtyR5jbbmLesG8ImqIAPW+jMYCFI25aQlSC64pzP3HbHZM6Vp0wdGiZ0ZoCooH90\\u002fbJWAawd9sPrA6dpy3svv7lS92WUz+dpwYLNhCLQ01\\u002fURBsjwHgDm\\u002fLz+Y5vLm+KhvC1jJQtnhksSNCAcAiV5wM8078jfkKMe1ya4lL5Yz\\u002fQhea5LsIjn96qsq5llavBl89ZsWb1+nzeot7Jm0ZLmTpMeFNLf3+PnL5pB23AIn2AwYXEnCeigr7zhotvaGlyV5hpsGbXWhIIe3jlCxh4uAKrAdtOE5e9+21tOPnPZh6RJQcA1lDNOVuWvGDtMTuDCzZvhuoppsMOU8aGCSmYSbqa+voKPNLEsPElv76\\u002fp0cQFdS6G5a\\u002f37LFiko1UkmfOrNZqPjs\\u002f9uFgYcbdC6P69hznQ6O+2CX2RNyRI\\u002fI2nEsWfGjp0KFy15bKAb5fF70piJPGSMm3KK\\u002fHGaBA\\u002fiu6z\\u002fSLWzr11KKuUGomIiE2bcmMPhQGX9c+UJD3HUAtZz5qz41y6TSjqC\\u002fnBlsSWICAs0498xP37oxHZmUMtZMiu61A2EWOIBZyC9mM\\u002faxQag1EQlmQFhANBzh6f6d0JpfdkHDWEACUKwx47Q2dL75yEQOmHieY0sRRPyXqcgnF\\u002fl8XiTe51RnwrvXDkQyDXbtDRd\\u002f2HXtS8rVkYkzBFMY8\\u002fR3dqO01Ytd9vE+mI+47HPe3wkdHuG5HIiac7Y1XPG+tvSqb62qK29NmUDy+bxYsHkz9RZMStOMzN44pYOik1boyZ104+plx6iI\\u002fi+bCYJkUmkMKyew53dlbL97sDEdaWRGnRExjv1AF9wOC1Hl8Ic7ambd5NpWqRL8yqboGlPGPzVq2I9WmEHFYo\\u002fojZtu7lh18RsJeF9kh9cBGJzKlYmT1i1ZsGAzUaGgAx\\u002f\\u002fXzbjHBtEKiKKS1wtQrBX4Zn\\u002fNC57I370REDECl1vaUXX21qPSOQAa8eSohpEuwDx0cVXFkvFYo9II+wTB\\u002ff3SCJwb29R\\u002fej6ZXPWrbrkH3K2\\u002fRuCWLjk8uIQ5\\u002fOiASfDcWNSWvTEZb\\u002frhuVnkkWfrNQtcGAGpC3wwo93obyjAfvRgNpaY7fFxpz3dsbxgCN\\u002fWK315Uuvuv3R9Fw+cYw03RTVd\\u002f\\u002f5vS2tzS2XgcS1rm3NtSTBC9U9AHgDNkgAU9Z9n3QWnZmpuHkz3fHF5U1M+L+OLQVrY+lqUfaHK9j2s8HGVL\\u002fBuOyaGbPOnobcbMd0pR1+9ZtqzroiVNF1S6+6\\u002fb84FfmEkM\\u002fnRX9\\u002fj6RCQROB77rxkp72lva7Xce5TgqaW\\u002fWCsOyFIMZDALCob9GUjp1MOoteLPaK3mJRrT1j2WW5rPOWUQE4AShP47n\\u002f2gUdaghqgLNLgGKF1uNymHlmu6llP+xUGutsxpYlP7zHarI\\u002fz\\u002fm8QE\\u002faqNJI+vt7ZM+m+Zz0xq+7YdnpwqK\\u002ftaRYSgDiVVFMQthK60hI\\u002fB4A+vom8lUfOZNK6GaDakH\\u002f6Pplcwj010GoGLHXwZphN0ls+ckA9j5VaZjLDgBCCsx9XydkVhx2Oi2e+UZhqPYg1J9YfMWtXj4PUZiiwZ2pBDMIfXkCRqbb3HHj8teS4v9Fgi5ybVtUvIBBMPUZ5ncFjmirH057GgAKhcKU\\u002fj1NKqEv2LyZiKDXrsRfNeWcmaVKUCtzFbZAdXuIF9YONMaSY6T9tPsNbWh\\u002fbdMR5cyJSNuWlF4Yfe7sq9dsTs\\u002fl4w8zaEPfQmn6JYxQ13512amCxDLW\\u002fImmnJOrVEPULXw0t3aCuSlH6v7zr17pJw83QW9jTJg0Qs\\u002fn86K3UNB3rfroApD+eMULuLalJR4msXXtAKp7A9iNsOYwgT\\u002fbkZh1\\u002fjTgCAJwzKaOfbgUfGfp1Wu+lop8XKH+nh6xaf58Nv37G6M7vri8SWRxOoBPSaIlOdfOlr0Q5UqomCBevNWVtG0J4fl0P3B0LHecNEKPYc3R3zRl3EylGioQJGuGzAgMP17F9p8PwqIGBeDippVjTu9A8\\u002fEZRFV1mJV3rB3bkpVq+KzgzNUAqGfT\\u002fCltHSYr+y6BuOOLH+i2s00fgaCPWkK8RUoBP4gwXA0iAiQIcn+\\u002fUWImrRnMehMATN+0Ywon1gyTQujxbHe9\\u002fsZL30Gk\\u002f8QLIjPdFYjFZax5FKqGTHJN0mmZFhszzpxmKuAOM8xORNBaM2m+4qxrvrY93e09tuTzeZFshEms7vqVH3mrJudjmtUHMxl7hhkgGmqExPF1Za77\\u002fWwDYgZLIWTZC8pM+gkA2Lmge8rfmCeF0Ht6TEVYqKO\\u002faMk4bslE2k1xjGvSabvvL8VbT8f\\u002fZ550p3W\\u002fuw3ZGfYRBOCgmrK2LJeDm8++as0PjwYXcDLAAPXl89S3YDMlN82H8nlnx4wnLtQaH1Pg83IZKYIQqFRDxcRUGzzKDLIEyCaoqgKJfW7gxGxZknxfb7Vb3MeB2vU5pZlwoefzEETQP73x0reA9XvLXjhyNoeJtm+9YwBKaRNpb9DUmEyrje7T26Cjw8uZJzvSKtXwMYedv+V8XvRtmtoBnYmmFlwrbIxQKHABwF2rLj5OM31wGz3xp7YQr8s4EhUvNAI3M\\u002f8lNJkSZotguRL+nhBDj1aRm+0i02WNuqaIiS0pEBA9s\\u002fhjt+w1FXFTPwU64ULvQx59XKB1q9S1zVnbjq25ZM2wshIDD5ax94+l8d9hHkMAFBjd7zLWPCzv565\\u002fMI9DBM2sWeurz7j6Gzv7+3tkIbXmhwwDVOzpET11wbXVn\\u002fykPW9B+S1S4uNCiHNzrjU7jDT8QHEQag2CIMRDSQDIjAAI8HeG2H73XpSe8DDz7Glw9xE5ADAxaWaA8AcAKJolI1OeCRV6f3+PRG9B39Wx7DW2Iy6s+CFTPFCCBEErxvYNe6E0x9Z8\\u002fA0iM+BmbXS\\u002fq81MjTkMkbOGamly5HDF\\u002f7clV93+49RlP3QYoGJ\\u002fj6DeokLR\\u002fOzuvvHiaYHGh4iqF4PEooxjIYgUStUwIrCIeyEkawZZBGkLsGIMP1bFrt8MY8e9e+FOs3HSZTPRcmIOqqJe5K0RzKwBZn0fABwtgdMJFXrPpvlMAK+T9GeuI5vLFW0WLLKZATf8hIeBTRVINOhsHkfaZ5zajky3hcg79MYVZrBtC1H2wucZbh8zU18fHRUXSyMYVbkW3xzX3fTRt4Gx3NfqgxnHnkUEVLyIK9VQw5y\\u002fLdYEqrnnAsFehd33DWHHzwcx\\u002fKQHPwzR\\u002fYY2nHTpTNgtElFZ7f93y0RhpJm0Sa31NfC9jycTJvS45ZTX\\u002fdufzWDPu9gPFJJIOwOAALZvHIRSjYu0MzMsV6LrnS1mFN1hOG1E0JYlpPKDv1664tYt\\u002fTOGZaGQbgs9EEnlWh+ApEX07hs\\u002fNc3n0oeJ+IPQ+uxsxkYQANUg1GSia9JYbyNwK2viN962ADt\\u002fNYyBP5RQet4Dw2RM5r2nG3Mu6AQARC9ZxszasqQII\\u002f1MxuatgBl3Vig06AcxjkyY0Df0LTLdQJ7\\u002foVzGmVmrTmJAOoTqCwEGHirFW1YaE2mPNKPzpCxaT8xCefrQW34YKpuxpOdHP969Mby9v8fkdcflBR8F9Pf3mB4GKqqkcu2OGy5+l2VZf+Kp4YszrpwphTDBtUoSXCPBAKBNEZW0CTpi7N1cxq5fDWPP70oIvAgi9smdZgsnfLgbXe9sNb9TPsCuXia2bYkwVJu2rg+HAEyBYWsHx4QI3TTwb1T9+R6HgYsABlHs3rI5n++5v4ygHDWmph3xOGoQut7eCk5WLB3iQxCR8IPIg8bne4tFFfcwp257HZzPi+KCzdTTW9TJvPqfXf+x6YEdngWFj4NwRpNr2VU\\u002fgudHTCAdDwIdCa65AiQAf3eEgYfK2PXLIZSeqCLSGhIClpSIlELL3AxOvGQGmk\\u002fIQlXiG\\u002fcBf6+sHUvICrC5t1hUR9NM\\u002fYmx6Gatrp4+w3kzg06r+CFTMhFdAFFFYdcvhyAw\\u002fmObAcRuO5CZZqP11TlweOhPygzdnLPlUMW\\u002faelVa\\u002f6Qbg8dBfX397xoZfJdNyw\\u002fUxN\\u002fIKDwTzK2NQs2apVrYEgzTsgE14QtIC0ywbXHq9h93zD2\\u002fL6E6p4AAGoCZ8WIlML0N7Vi3rIZsFvlwdZBMAjSCyIISZsBYMP0+UeJPZ8goScpiyjC8qacpLKnNQBiDVg5gd2\\u002fGUZlW2Cq0RrSvEKIOELHm9rjEVGHWiDD2rakKPvhc7ms+lI+nxd94\\u002fNSpxSJa15ftXbX9R89kSx1jtb0pxB4U2vWtSp+hKpvzt5J5RrH8\\u002fqFQxCWgLcrxOCmCnbcO4TS0x7CMIKEgKTYSRcErTQggePeMx2zz+sAYNqaD+Z3yQxIIYQXRFUNI\\u002fRFG6bO1tqXo+FCZ2YCkV7\\u002flUvbI0RLVV2Gg8gMlxh4qAwF3ZjmFTJFOZaQaH11tva5Q8Kc7URYjb747o9\\u002fe8srOZ3GzFQs9oqeTfM5sd739PdkKzuc9zBTD5M+synjdgWRQhgpDFVq1juuXANgAZYjoANG6Skfu341hIGHSqjsNDd\\u002fAsEW1kjshgClFNwOBydcNAMdb2qCqpoL52Bv2ETMUkrSkR5w4G8CgKPJI2u40Df0LZKLgeinTvQuR1on+WGokxM6WYRgIMTgQ2XIRrntABgMt81Gy0lZaF8fks4Z0K4jZcULHrYo+IbZ\\u002fd5\\u002fxCsdphi0Pr9QbsAiTUQaMFmGtV9ddqoNcV5lBy+3LXGyY0t4foThSqCImOLfu8VmXxeEQ+Ya2Bth92+GseuXwxh6tIpIKRBoVGUk67hikYGINaa9uhnzLu5GbpZz2CXLQhCY6PHFny6WpvIgyP3ReKFjkQY2QjEtaXIkhVGkCLAYZujj8BMevMGocT3nMJVwrSdnYTdLaP\\u002fQSl4FwFIQiPHlxSuKpf7uHtnbS0e9NU8mpiY5bzMOeSM2rl52TBjivQx8GEzvyDY52aoXIog0gkhHYJYEkpyUpUrAyphzdOlpH7t+PYS9D5VR2e6DEZ+9Y4HXe3ckTD+CIMKx53Zh9gWdZs7\\u002f4c4MYGJhmhx+ByCJI6VCP1wKhYLu7+9xaDu\\u002fx\\u002fMjMMi0CrL5pe99oARQfDttUCAODLS+JgcQxXnXg0bbthQVP3yw6jTdnkzIGbfXOgkYPczBHE\\u002f68z3N07rt91iwzgsC\\u002fZ5cxuoCAD9QGCp7EZgkEQgcn72lcc0BwNsdYuDuIQz8YRiDf6xCsQaBIOKz974CB0YKmzIdNub1dqPz1BaoqoYODt5Vf9H7AiAFgUD3AUdP6WtCQ4Wez+dFoVDQ07ZbbwHRiZHWZlx6LPJwUKH0tN\\u002fQWR6sASkEcjOd+BM4aIvOzLCloDDEde+9\\u002fOaK2WN+9ARwEjifFxuwQSwubIyMO7sx+u3qT9qDUeVUgD6sNb\\u002fPFuK4rGuh7IWojAqsUS2wRjbBcgTCYYWBR8vYfV8Jex8owR8KR6z3SJPZiy8DYVx2pRmdr2vB8R+ejuxMB1E53kl\\u002fRNJkUQ1CLUk8fCSPMllpqNAXAaIAaJA8K+NYVDVrjwWzucMPP16BtzOEQIOGSxCgmNE03YXTYYEjfSjVcMq1LVmqBk81ZYLvMkB9m4pHjavHzIS+PiqOtIJqAPjJl5efJFzuHVLV9xBwWsa1EEYaQaQ4rAQKDDnSEgqQBUhHQIeM6tYAe347jIHNZQw\\u002fZarWBAiSRBwUxUv+3hNXXUqBYy\\u002fowKylHSB5BK56\\u002fXsFm7VYoXomCvECAGw6SmrcExoq9A2AzufzAvzEOywpABO4EYBpHqls8RGqCLa0wKoxB3RmhtNpw261wIfSksqAZQn4Ad162ieKe9bnF1qFKb62hwHaMDqoxgBw500XnSwVLWIWvSCcnnFtl0CoeGF9vXnsmjMgCcIaCawN3lfC7t8OY3BzBWFowheSRO14xgdajhn\\u002fPiKt0dTt4oTlM9C2oAmqqsDh4bvqo56CiW1LIgz1E+cOnrjdBFSPjtLXhIYJPXHb16+6dGbI\\u002fFoviEBgARCICCrQqDzrx7nzRt1MzZncbhaQGYFwKEoiBgeEAZaSZLkalKGbvgYAi\\u002fo2KkzBCyOZ0LIpaSSJg2rrV106Uwu9RCv+sNB0ai5rdyul4YeqlvPet95cOARhC4TDGkNPVo24H66gsj2IrbcJrAEHtt4JiRUHgJnvasfc93XBnWaZhpQjdtVHYAILAQ3wo1Qo6NWzPmlffvnN4dg8+uSgYUJfkBTJsJ7nWvLYIDKrjwGYYQ8ho\\u002fyM37hqOACIGx6cdvuQvovYpNSqnr7j7GtufpYx5VIx1N\\u002ffI6Zv2kGLC4WaF\\u002fLL65e1Dlt8ngCdq1hdkLGsLrIJYaRQqgYRwIJAgpDUmzOEIyCl2YdXfs7H3gfKGHiwjOGnqtDxz1eQuZmzfnFgbf+vznxIAm7Hvq8L09\\u002fZCo4O1JByBDBIKQgmehAATtnyyFT6XR4UjS+YAd7gOhaFkVaI65dJEsJSBG9XADSoGg5I6tsBmaWRvOzBfB9MXbwA\\u002fRdidxeT3G3P5\\u002fNiETaIRX0bFBFxUtCz7rqPzGAh3yqk+FCJ+WxbyDlJUC3pFAMxEZPFTPEaW8Byzbna2x5g6NEqdv16GMNPVRF6qiZuK8mc8ME7aSTMhB8NRtcbWnDch6YjO8uBKpvShLEWOQNRLmNbVT\\u002fcamm5ngHqi1PARxMNE3oS3BCs36S0RjzHC4CJuPs7w3gIY6OhQ+pH5Xiqa6nqbxWWtQEAb8DGyRhpp3zetH4WF2ym3t6CKgAaBcKP8stanS6cxYQLBegMx7FOJCJEav9BNdZGYFbWzAWIygqDm8rYfV8ZQ49UUN2bVKzBuOaxsA\\u002fJM4td8UhrOFkLc9\\u002fXhRkL20xXYXnsrXgc1FdNGdsKwug+Erxs8ZW3PMIAFY6iiriEhumq1n++cvm9Gdd6RzUINYFEUt++42eDePyb2xsr9Hja63Hvn445F3bEwwhe5hUwVC5ry7IX\\u002fnjJlbedP9maV4zlhlhUKKh63+iOG5d3I+B3WTadw4wLpRSzMo6FIFQIQ6UAgM2UFoBBzKbCIQmqRcMKw0962Lu5jIHfl+DtDqHjqLkQdcetw\\u002fDGRqw40PHaZhz3J11oOs41ZayHkO48WJiNzpuzDlX88Hvlqvr4e\\u002f\\u002fiW7uSONLYPtvkoCEW3Zxhib+\\u002f+oIcBzxX6XrLbaa4BHsjMDREg+a2A3FtPTNU5eDnwjElM7\\u002f5F8DEF1bU15abraAFXYhTYRtXLztGKes0pdQHJdM7rKyc51gS1SCCUnrk3E0kzc\\u002fc3BqSRpKwpFB61sfAA2UMPFBC5YUAETRkbL+T8V6H3Y9QdxZ3cjbmXNiBmYvaTUFMYsXHXOSshRDk2haVK+HKJ9zctZf\\u002fxc1hPHL8qK1obIzrns8TCgXORNOOI+hmzQxj4JMvIISVeGUqNTrqDvgD0cEPt2AywwOV+D0wMTPFkvLT6Zt2EBFFiGvLUQDu\\u002fMolrxGWOhNSnhEEemnWpXaybSit4YeR9gOzz44IcZ05AAFI1wTMdMQoPeNh8MEK9jxURukpDxzXAAkI2EKanxXjiKb+JFacAXS9vgXHfrALuTnGinM09mdxwIzfti0pGQiqUXTNkqtuuwkwk4iP9iakhgg9sXqk1Gwm0ax1Xc9HfKGpigI3PHDNEAC87SHCQQXhkLGFL2NFlGaAg6eAxswUY2ba0LdI7lzQzb29RWUi\\u002fObCXLv6k20iqiwA81ma6QIp+FWu47YJQah6Ibwg1GDiZLY5AzV3OBl\\u002fHFUVSs\\u002f4GH6kit2\\u002fG0blBR+hPxJUE6irVjvCkV7JfTzSGpk2B3Pf24Hpp7WNqxUHjMhzGVt6frBDa1y25Ko1P1yfX2gt6tuojsZqxn1piNBrK21IdjsWyTi1VmfPYYpVkv9pEKwBQQKVLT68HSGa52VM\\u002f\\u002fIBXoMQoDBSkXZQGpfXhDi\\u002fGFelAQARKQARYKz5T76ybKZt00IIPpPCyjuENPPMo0gjUhpVL0zKjUStSi1uIpGuSZApX6O6NcDAH8oYfKSM4cc9RJGqtYFaQprD7P5KUQ8HMjlIpU0t+8zT2jHngg5kuh0obzytOLMg0k05W3pedLeK9J8tveZbj\\u002fX398jFvcVoKtY+HA4NirovArARAuh0bIkw0hoYWdIwkRABUaQwcH8JLSdmXvbrmQEpScjQdTifFwCO6FpJBiNuwAYzgaWwMYrvNDV9\\u002fez6numesN4sSZ561yqcbdl4iyVFsyk\\u002fVfACxeVIaxATMxHVxi6ZgBpZBJJUq1UYerSKPfeXUHrKg4pUXZeYrB1hxnIYp3HTzZ755lkZHPuBLnS8odlE8CvjacVZSymEbQlZ9aKbdj3uXdv7lWL1lTgvoCFCb5m11VgmcE5KYTzJfX+zExTSYgYECDvuGUT3wjY4bQcuhWWwzli2qEbhxVQo\\u002fB\\u002fmvGAYwScWeH\\u002fn9vqgXc+m+dwHM2HUuOEFRhxAy+cXWoumH9+lwacoUqcLTe8MCa+xJJ3QnHHgBxFCpRFqzWE1UEkRCzBSoVaf546GFarP+dj7UBl7N1dQ3RogqEZJHUBcZ05xUG2Mj051wTbbtTD7rA7MOrsddqt1yIMhDhVmqIxjST9Unu+Hnzl7xe3\\u002fChwdm1EPh4YWzCjSubjPfCTsHueAZFaM\\u002fE8jYTNwwBsM8cIP9+DES2cgCo17+RJipyBU7Djyc2tXLt9OVLj5cJ+6UAB+8uWeDjsjXg3tvoqhXwPwmxTUmx1bdjhkQwqT3\\u002fYDxYMlTxFBxFabsM\\u002fIJRJGsNGwxuCmEoYer2LokSrKz3jQ0HE4hEYsd63OfOx\\u002f6PXlq12vb8GcCzvRPC8DHfCYNKK8FMxgIjO\\u002fzw\\u002fV5pDVx89b8a17OZ8XKBT4aBn2eKg0ROjDcUkhacrtt99bM6xmaT7fuPrXGqxNk8W2n+9F8\\u002fEZzFjcjqikELshoyAQKVNF12zbYvW6lctWALgXRA+QwGaCHtREVWb2AEBF7NjCliSijFaiA4xjITAH0PMY4nXEmKU1t2cckXEdG2Gk4IcKfhAxCExxIM2YXbKYTTqShKkoFI6A8kxnWOlpD3sfrKD0ZBX+QIQICgLC5LpJ1AJh4zkjv+ama42mGS7mXNiFrrc2G++iYuIf4yVyMJQQJDOOlNVqVPSU9+nzry7u5HSDbWOEXls7K8iNDUldvMvUQDttVoPr3EdDsQv\\u002f1Le3gyyg+91t0J6GVi++MIkApZiVZriO9Vop6LXJXOeqHwFKVwBRAQBJ7GpWtmCZacrZAOIAFzM0M7RmKMXww1B7poiI4j5uYgYZi0sQFiAc444rXyOqaJSfN5Hy8jMehp\\u002f2EFSipNYQAnVz1Q6xDPWwfn510XQnY2HmmR2YeWY7nHbjpjPGUeAwrnrWtWQQqEq5Ev7N0qvXXAcYV\\u002f2VasXraYjQe+KPmvlF9eBEACtGdqYDatD4qP2RPK0OGY9\\u002fYzuq2wLMPr8TVk5A+RqszNSbxMLH9bschJEGaCQzSBAkRE4ScgDAbDrkmJlLlUCPSjWAiRlJO4yIG7wgJEwBj0CtkCfYE6GypYrysz6Gn6ii9KSHsKSgeCTHXSs\\u002fjd9Qo1ZMM8zcNkmEGae2YfZ5HcjNdUe56eMVguE4eticc2TFix4MtP70eVevuZvzeYG+Po4zFq94GiL0DZvMfGxBwotN+cgVSAArIDPDhnQForgpYqJIsn7P\\u002f3g39j5UwezzOzBtfg52iwUdauiQ662jSRrVvVyzn09z0sw9+p2QZMTuTFyJRgIQoyLjGlFJISprVLYFKD\\u002ftofKsj8r2AP6OMHbHCSNpMBPbOKIKtcMhvuep+AfR8eomzDqvA+2vyYF1A9x0jBTACCJU\\u002fPDGoUD+zQc+c+ve\\u002fsRVP5oayo+QhkbdmXVA+0lSs2ZYOYncXBeDj1XqhDABxM8rSaD0nIdHVm9By\\u002fEZdL6pBW2vySI3xzWijK07MwDNtS4tqkkAI\\u002f9VZ5lHBcDYCKKyK4C\\u002fO4S\\u002fI0R1m4\\u002fKCwEqWwOo0Nwu6rrlYEurlt82VrvuRTeCuAdIaQaD0Twni1lLpqHrrS0gh0w0ffwFzkTQTVlb+qHaGin9mbM+fdt3AKC\\u002f55UZVX85GiL0++KPAlxSSo+YzZiksaXtVVkMPFY2u9An6rCevCYGZHzuHn66iqGnq3B+ZMHttNB0fAZNc1240x3YzQLCFRB2bJUpFh8zWJmbmA7YnKtLCuGQQjCk4O8M4W0LEAxGUJ42f+oi4yKuSjPhP4wIuxGTd\\u002fZHLHCtGYoZuS4HM8+ahunvaIXdIqE8DV099O2zhwozlJQkXduSnh99v+KXP3PBZ\\u002f\\u002fryf7+Hrlp03zuLbyyg24vRUOEnjTyK5Lb\\u002fUABbMa2Yx\\u002fPtuWkHCzL7LTGRFr1GK6z7iAg8jXCLT6Gt3i1r5EkILMCMhF7vNcd2oiSFUN5GlGoR5X40j7\\u002f3tcNTwJo9a9jQthH4JlmGzMWtaN7YRvcaRZ0HBhMMgHjBTOYAJ3L2NILwr1Vz\\u002f\\u002fbs1fc\\u002flUAOJp2pI0XDY26S9Lb\\u002fUjreCMm11LpZFbntJyUQfPsDIaeqUKKiYvA70vNLSfUzsbJLSo5j0YVVRePG039lJWRB93nPjYRbviBiEtWtdaImOE22+g+rRUzF7YhM8MZCbSNs5sOjFjxjGPJshfeGSH67Hkrvr3J7J7vo1d66uxgaIjQa0MniLZozWUpqSVKrDZgzroasJoEOt7SjMFnKmDeVy6TAK77UKdHihPuxjK\\u002fhFTHOb01ZtQsuClZdXM2Zp\\u002feiu7T2pCd01iBA6zBxLmsLavVoFSuBnlr10k3LCkUIjNamxQmzZ1xctMYNcVX\\u002f\\u002fpvXJqJStGjrmPNjdNSI5cKA2QB4ZDCQ\\u002f\\u002f4HPy9YbwbvSGvMKWu6YRhLPj0d7Sg+4x25GY54IihAj0qxTiuMJRlC2kJgTBSdypPf\\u002f7sz675HTAyaLQBr+KooWFmM9lltW7lsg2uay+Mi0NG2QTWDKtJ4oUf7MGT391hep8bkAt+JUMCtQIeBUZumo3pp7Wh+7RW46JHJpg4llNXD4RJEhI1ZWzyg2iL1vx3u7v9m3t7iyquU6+NoU45eBpX617bZUW\\u002floLOMEMHR38JCYL2NGYsbMOu3w6j9LzXsB1sryho5IgRb8tBtstB97vb0fX2FmSm29BhI130OGTB0K5jSc2MahCsERT97VlXfudpAOB8XqRn8cOnAb9CQ617S+BumFKy\\u002fdoHrQCrWeLYP+kESUxYV9tRCSFufDGVbMyMthNzOOEjM\\u002fHazx+LORd0wGm3TGAx4nFrH30RDCWIqDlrS631JqX4g2ddsWb54k995+l4xzpNprl8U5GGWfSkdTPL+oGKF+6SUnRpM2pm1M2GhJnd3f66ZsxZ2olnf7wLUggc\\u002fTNAxgkaqUNnZkSsYLsWpp3SghkL29D2qhxkTkB7us6CN+buymBNAHIZW3qhqvpBdJ1X9b507rXFPUlE\\u002fWie49ZIGmovOQ+BPuZ1qy75QXPOPr9UDRXt72YT14mSAB79163Y+cAgbCnB6a\\u002f84ImDa6wZKr5L5jocdLy5GZ2ntqL5eNdMmgniOv4GiRuoVbYpx5YWGAi1\\u002fgFH0d+dfdW3fg28cnvGx5PGLnBY0ENEpO9cdcn3IsXvSVYyvQhCLRd14mUzEN2ksPeRspk6mlr2lyYRN\\u002fOI9RYSbcfnMP2dreh4Q7NZJqlMgI2ZG2zBzTnckkJmHGmVqsEfGSK\\u002fdMWtRcAIvKenqIlSkY81jT4BEwBeu\\u002fqTbQjKmyxLzlZR0ha2HxhmpnhJ4bF\\u002f34qBR8qwZCz2NEBnqHXTUTwb3QzNyLTZmPamJnS+uRktJ+cgbIIOGDqennMIOyvGBGbWRES5jE0VLxwg4F+GwuFVH\\u002fjM9\\u002fYyQMjn03P4ONLwUBfnIagAfdeqS\\u002f65KWd\\u002fbrgSRPt13xM0QDZBBxpPfHM7dtw3CAuysVOhJyEm3UXxyGTzj5Ox0HJyDh1vbMK01zfBbpPGPa9qs36qQSmyephNuiyXsckLItbALcrjvz\\u002f32tseB+ImlGKaMhtvGr57rbigh4AiNOn\\u002frHjhVYLI1ZpH9jPtiwB0xCBb4KTLjkHTLBfP\\u002fXC32ZUtRnZ7HfXUBdXApj1Us4bjSuRmZ9Dxxia0v7YZudmOaXcNNLQfu+diAiw4WIOBrGuLSGl4QbQ2Yvq7c6785s+A1E1vNBOSvMrnIfr6mNetXHZHLussqXqRAr3MVNi4BUZmBPb8oYRnv7sbpeeq8UogcXQW1tS52MniQYJZgdR8fBbt83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rxMKFc2Tr8t1iz9QB+u1gufw7oSborx9Ca5g3r03MY2\\u002fz+tU0nW5rk7cN2RGXYW4QkmFa6SGgh4IYCgxCywaNqtNQh6AOJepAJ4TEtSxLurZESkHZDwn8sMeyrJeF4L5ib\\u002f6qC77wt926rU2KN1fYBaDvuPrCExTiUg2zNGJkwrVtyxL4gSIIFErpUGldFoK8gF4NWQG9QK\\u002fWulNIuUMLvdVSYrtSekc8oTc5Vqxz9gd+XxavchguWDDHqvx7+fIpGoxLUDsAXh9qgv4aUPFJW1uniNmz57+qufzYrz6YyarCCD+QIyz00FCL0RrGgB6tNWOEEHVCaDfmWMKxJa5jBFgrjdbmj9JU\\u002f601oLUWQqjoOykQUlqSUEk8P1jv+eEHz7n8hoe1RrwJm1+0tbWJ2bORuZdXfVdK63PphAMowlAhIKxcFyBACGH+RgiBFAIESCEQUhAEGi8I8XyFHyilNR7QDnqdJcUGIcU6FJtC1LaYCjf3DmDz3LkLvf1dmG5rk78YssNqbOxSc+YsUEKImuD\\u002fHdQEvR+0Rsyb1yamTl0hKkGl\\u002fZnFC66ak65LysZyyRkvUNNQTNVCT5BCDNIw0LFlYzLuABopQAoNkfAWPUWuqHTJV7rso0OldaihvTcQu7pC0Z4L6c0rUfY1fgC+UiIMBUKAa8G4Ia4+YkJcDWuxtbRs2\\u002fOCrA459qxPXP\\u002fSazHjdVubZB7Mm7f\\u002fe+uPyvvdfvVF302nYl8se77KFZV6bEVBLt7kibKnRag1lgDLEtqxBDEbknGhG9M2rfWWHlxvk0wILQDHkiLuIhKulOm4xLZEFKkThAp0tB2zeQ80uzR6t9J6uxBihRByhbTEUgu9Ob59a9fx8x8u7XO5oq3NPDsw2n\\u002f+a3Sb\\u002fn\\u002fA\\u002f++CLrTWLFw4V7Yu3y2On\\u002f9wsO8v6AVzrFt3W5MsKacorScjmKQ0U9BMirl2zLEFMUdgS0GoNGU\\u002fxAuUFhAWypoNuz2xozMQPQUlPB\\u002fae0OxrTOgMxvSWwwp+RqlzG7UOvoD1e3Zf5cKjFy4tuA9x9Vx\\u002fhHpIO46dm\\u002fBe2CnnTl9+\\u002fbBYT\\u002fhFdq8xrxd5AP3dy8WLJhj9f++v1WwYM4ca+7CheEd17z7KIR4NGYLtWpbWf7w1i6xfpdvbPl9F7P6V9+1SqPUsW1BKm7RmJIMqLcY0mSTigmdjElaMlKPHOjqgQ2WFoAlhe06EseWCCEIQk3ZV3iBJvDDbiFYLhAvS0u87IfhqpjUy0\\u002f\\u002f+J83vuLZacSiRW3Wnj0r9Jw5C9X\\u002fz+b+\\u002f1eC3j\\u002fgs7+I9UNtx9n5gUNHCNQoLeRBodJHai1mCKFbXMeqM2arBq3QWqEUuiMX6N09ShfLIV05JZZvLotNewJ6C0qUfE1vUVEoKfxAgwKk2fS2FFiWMW+NqWuuQWndz3TXVWkSAizLQmtNEGqKZcVX5jTrE6YnddlHCaGOP+OjNzxW8WkrAtzW1ibnzQMhzAFw61UXHR137Vm5cvaP53\\u002fy5g7YW+B1W5ucx3ymTp0j5s5dGN76s4v+nEm5czt7vfDrN7RbyzeVySQlQkiUUqjKNYqKcIu9\\u002fph1Ny5JqDRhqPFDjQ7N64QtSLiCTEKSjAkSrmRAvaWnDHP1qEGOdizIJCwxqMGmLiGFFkKAREqJ0prevKeVoktrvd2S4lkETwoplwResOW8T964\\u002fRV7oK1NLmKRfD2B0n8H\\u002fFsLesUUn4cJmu0bLFvQNsdtHBofVQ7DY5QWh2n0ZDQTEzG71bYFrmU0khcossVQ+6EOs4WQxRvKctOeQORKWmzv9NnWEdBTUIRKR4JrNryUGIGW5t+Vja+UJghC\\u002fCAkCEN0EEAQgmUhHBvHsXFsG9uykFICmlApcrkCtm0Tc22KnmLi0BhXvr8lSCRcO58rffb0y278n7v+5zT3jE\\u002ffXf7kJ0+LnTW5pf7Uy\\u002f60G+C2ay4aj9ZXIOQlqYQbLxS9lQh+tE2s+u1HP\\u002fq8\\u002f9BDbXbv4lXN537mxl1m7drkkz9cEdsdc15orXcmPbw0q75yXbvMJCShglLZw3Vs4vEYAoFGE4bmfgI\\u002fxPd98CMDybaRtoUT\\u002fbEsKzrYjDWjlCZQ2pjvUWxCadBK47qCxpTFyFaHgQ02zRmppw5z9ejBjrKEIO4KO50w6+SHECooeyGBrzYKi5VKswLN464tnjxt+7hd\\u002fYOWGsTCBXNkxU2bN3++frWg4P91\\u002fNsJuhHu46ypUwfoVwj2lXMSyXRsOkpN00odHmp5tBCMiccsNx23UdpEjwU67C2ErN7ui45sQHtvKJZu9tjS7otcyWhTL9LQli1wbYFtCaQUCCHRurLpFUEYEoYKbXYuKAWWRVNjPc2N9TQ3NdDSVE9LUz0DW5oYPmQAQwa20NrSSFNDHelUEq012VyBR55+kW\\u002f\\u002f+Hd0dveitGRwo8VVlw4M0knXzubLPz7n8hs+C3DHz987K+6KHxfL4V0uakFZi48prT\\u002fSkI5lgjBAaB1atmV5AZS94HmN+m8tnWeECv4iNA8VrOC\\u002f5n50Yc\\u002ftv373mLCkH6lP2UOvf7hH\\u002ffK+HplJWBSLZWYfdTCf\\u002fsi7mDhmBG7MIQxCuntzdHb3sHN3J9t27mHbjj3s6eiivbOH9s4eOjq7ae\\u002fqoZDNGRNFSJACKSW2JbEsq\\u002foVdLSOxgLwAmMFSEuQiAnijiCdkIwZ6OgZo2I0piw9stVmRKujNUjLksK2LZSCbMHHD1RBwhLblo8opZ\\u002fDsZad9ZE\\u002fvrzv\\u002fnmorc3eM3WFnjt3oeLfSOj\\u002fzwt6xRwH2Df6+tBvL4n3ZguDLduZ5aNOt5GHAmPSKTchhcYSZjO19wa6t6DCbFGLZ9cU5bqdnujMKbZ2BPTmzVlhWUaYrX4mt9mMRiN5foDneeD5IASxdIq6TJJ0KsnA1ibGjxrGhLEjGD9mBCOGDKC+Lk19Jk1dXYpMKvma7\\u002fe0iz\\u002fLPQ89SSyWZHCj5KpLBwaZVMzuzRW\\u002fUWwJv5Hqin9For8Ui1nJXMHbgcaqS8cGCB3SmQ3DB5bm5TOri+KcQ9Lq0AkJknFbZoshXqDWCxiRSbp2ruAt97W+XMYSL0ivuLwh5Qz\\u002f6+M96id3dsu6pE1Pd5Ybf\\u002fEt3nXuya\\u002fpmsMwpCebp6c3R082T2d3D+s2bmP1+s2sXreZDZt30NWTJZcv0JsroApFY924DrGYi23JqqWkgTDUKKUJlSYIQYUa2xEMarAZ3GhRn7SYNjKmDhjlqoQjRWu9ZSVcSagEWkiCUFEoBp1as0FInrcsfZdEPn36R6\\u002fb0f+6K9mWOcun6P\\u002frZv7\\u002fVUEXuq1NLJqNPP74+XsF0O669h2D\\u002fcA9VgrrUKX1kVozKxG37URMIgUUSyGh1sHu7kC8uKEk23tDlm\\u002fxxNrtPgVPRaYkSAmuE2lqY4ujlabsBXi+jw7CSrIL27YYMWQgk8ePYvyY4YwcNohRwwczcthgRg8fTH1d+u\\u002fejNFcCo2ufpYJbJmvoVJYUrJ4xVpOmvsJCsUSvpJMGuJw5QcGhJZlWcWy\\u002f3UNM+tS8fODwCNfClUy5kjXge5cECxaVrRufSYn1u\\u002fyAbAtOGJigjMOSqmDx8WJOZbsLQRIQZCI23aprMphEHwhRFzc2hA77InlWfXFP+6RmYRDtifHmacdw19\\u002f+Z3IRZFGCKMoonHbzSEqhYg09N\\u002fH1h172LRlBxu27GDztp2s37SNVes2s2rdJjq6ekGDCs2hazs2ruvg2FZlAQmV0fp+aGTRkmBLGNBgM2NUjKFNth4z0NFTR7rKllK4jrRcx8ILTKCv7AXdUojHNeoplPXkjj09T350\\u002fu2FvmeEWDTvOGsRs9X\\u002fxWj+\\u002fxlB11qLRfNmW\\u002fsG0a699lJniOqeIqV1TOCLc4XQ023bGpBJOigVItHkS6HauCfQHb2BeGlDWazY4omObEh7NiTwddX8Nr60+aOUrprevh+gyx5YFgMHtTBoQDNDBrYwdeIYZk4dz7RJYxk6qIWG+gz2fja10rqaK1daoXXFhzeHiPHDX\\u002fW+0YBSirPeewX3PPQUDXVpunM+nzyrkfMOy5AvhSGSfMyx6wShWrPdF+MGOqKroPSTq4r69ufycsNOH8uCmN3HOc2XFHFHctjEuD7r4LSePiomO3MBZZ9w5ADX6s0HWkqytiXrcqWQr17XzoadPvGYRbY3z8+\\u002f\\u002fx989L3vQCn1D+9BVe5fKQwhQPStwau8tlgs09WTZcuOXaxYtYHnl6xi2ap17NjVwfZd7eQ6u8G2sSKhty0LyzLvpZT5rEBB2TNueV3Kojktaa23OGR8Qo0f7OqB9RZDmm2hQQphIYSgO1cOlGK7lDwiLXGrEOHiMy\\u002f98+r+11YJes6Zu1D9X\\u002fDr39aCrrUWzJsn9g2kLbhqTjrpOIeoQJ8pLXl4EKrD6pKu7VgghKa3EOiSp8NVWz354oay3NYRsGJrma5cGJE3wJJ9wm00kSAIQ4qlshFq1yGZiNNQn2bGlAkcMnMyM6eOY+zIYYweMYRMev\\u002fmdhCEKKWMNhYgEFiWrAbiXg1hqPCDgJjr0v9Xw1BhWZIfXHM9X2j7MXWNGYrlkEENNt9\\u002ffysNKYkfgJSChIv6yxNZ+bsHezlkXJwtHT7rdwQ4TiTgonKvBlKYSHjRM\\u002fn+IyfF2dUTUihrvj6nWY8b4oh8yRxUDSnBnx\\u002fPcvWd3dQlLcpeQCaV5JGbf87k8aNeIexBEBKqENdx\\u002fvG9K2XWLLIE0CbDUBHafbF95x7Wb97OqnWbeWHpKp55YQXrNm0jXyziFUx63Y7HiMdck94T5rDxQ40fGIsjVOBYMHqgw7jBLqMHOvqw8XFVl5Q6nbDshGvhRcG9QtHrFlI8pbV6XCLvSk3etvj44\\u002ftSsQsWzLH6cffflkL\\u002fdhR00dZ2nIUxkaoR0pt++t7muK2OVYLTw1CfKSVD6pIuUpgIthfocPnmstjWGYglm8os21QWPQVFoWzeIuFKLMsInpQSrcHzfTw\\u002fQIUKgoB0Qx1TJ4xmwpjhzJg6nkMOnMKMyeP2a3oHYVjV0giBY1t\\u002fd0N3dPWwp6Ob3e1d7G7vZPuudnbu7qS9s5v2zm62bNvF+DHD+cNP52FXtZIRnqUr13HCBZeRK5RwHItCSXHFeY2cdmCKbNHQTFIJof\\u002f8SFb88v5u4q6kWFY4tglaIaJ8dBAShqGxKKSoakCtFFprciXzGq2hOWMx\\u002f8JmPXawK4pljZTGNP\\u002fyn9p5eUuJdMKhpyfHmacczS2\\u002f\\u002fZ7JmUtZPZieW7ySS7\\u002fwHRrqMwxqaaKluYHWpgaGDG5hYEszA1ubaG1uYEBLI8lE\\u002fFXXLYyCmZWD05IWUu69zn4QsGNXB88tfpnnXnqZZas3sHrdJlav34L2A4RjIv2uYzS\\u002fxlhYSmvKviYINI4tSJicPkdOSugxgxw9aajLkEZbK4TlujZlT5ErBqEQermU4qZQqUfLLeFj\\u002fdl7+6Y33y54Wwh6JaAWsZmqwn3Ljy8caDnWLCX0hQKOcB1rbNy1kELh+SF7esNwT3fIIy8X5Ortvti4y6cnFyItgWMbrW1bxkRUlaCZ5+MXSyAETS2NDBrQzKEHTuH4Iw9i5rQJjBo2mLpMap\\u002frM4eJ0hpLylc1N7O5At29ObZs38WqtZtZtX4zazdsYdfuDrqzObp6snT35Mj3ZCE06TSkxI45BF29fP\\u002f7\\u002f8HnP3YxYRhWc+ZCCN75ka\\u002fw11sfoKExQ3cu4KhJcdoubKEcaLSCVFzw0NIC\\u002f31TJzHHPNKKaaw05AsFdNknWZ8hnUqYVJQf0N2bIywUcTMpYo6DELqaIiyUFSNaHb7znhbqUxblQJGOS55bW2LeDR1ICZYlyWYL\\u002fPGqebznglOjg0lEh2jA0ed+lOeeegmZjKOCwKjHUEEiRmNDHQ11aRobMjTW1TF86AAmjBnJxLHDGT9mOAOaG6mvSxOPua9Y5zA0FoDWGmnJ\\u002fbpL23fuYf2m7Tzx\\u002fFIeevx5Xl6zkd0d3RS7e8FxiCdi2LZVDfKZwJ6OAqvmYBvZ6jCk2ebgsXF90Jh4WJ+SsiVjy1Cbw7M37wEsEYgHLEve5FnO4vM+\\u002fJtsdd+0tUmAt0Mg7y0V9Irf3Z+R9tivzsl0BukzJJwRhvq0mGsPSMZMLrnshaqjN9TPri3KDbsC8dy6Eju6AsLQrGI8Cp5BJWctKHse5ZIHAmzbZsLYkRx20BRmzZjMITMmc+C0Cdj23hvFCLU5byy5fxOyuzfHitUbWb1+E+s2bmPthq2sWb+FtZu2ks0VIPJHUUbjy8iHtPvlkSu+uu\\u002f7NNZneOivP2PCmBGEqvLZkjvuf5xz3\\u002f9FEok4QaiIO4LvXtLK6AEORU+RcCWb9\\u002fh86Q97yJYUjtWnwXP5AlIKjjx4OmeefBQzpoxj6KABxFyb3lyeNRu28vQLy7nlnkfYuHEbbsKYu2GokEKTLWqOn5bgyxc0m0MFSMcFP7q1i9ueyVOXtigUSkwcO5LHbv0F9dEBqZTGsiRXXns9X5h\\u002fFXWZFEorRMSqqfAIgjAkCEJz6AlAGiKMlIJBLc2MHzuccaOGMX6M+Tpp3EgmjB2BtZ9D1g8Ck8LEPOd9tf6ezm6eeWE5zy9ZxXOLX+bpF1ewp72zapEl4jEcx45ISuZeS54iCE3g0rUFU4a7TB8Z44ARMTV5hKtsKexE3Kbka0rlEKXUUoS+W2r77jM+\\u002fqeHKmZ8RZG9ley8f7mg75eKeeWcRCIhZwlhnR8q\\u002fQ7XsUamEjY6DAmVUlv2BHrtTk8sWlaU63Z47O4JCQKNGxM4Vl9QB238bD8I8EseKMWgoSYafsTBB3D6CYczdcIYGhsye11TEIaoUCGkwLHtV1xzR1cPm7ftYv3Gbby4fDXPvvQyazZsobsnS1dPFkplcBws18Z1nGoUGiLGm65QXHW0Bn3P2rIk2d4cp590FHf+6YcopaouQBCGnHrhp1n0+PPU1aXpyftccnw9l5xQR7Zo\\u002fGpLCr5+wx6eW1sik7AIlKZULKGDkFkHTeWLl7+Xs046ikQi9qrPZHd7F9f+8WZ++puF7Nm+CyedxHVspIBsUfPZsxs5+5AUvSVF3JbsyQZ84Xd76MqF5tDo6uXH376CT3\\u002fkXeZwwzyPVWs3cdBp748e\\u002fN6f2ccG3HuNKkIWBKHJbpQ90Bo3k6KxPkNTQz2Txo7goAMmMvOACYwePpgRQwe9ImZigqkBILCk3OuwVkqxY08nLyx+mbseeopnXzQ+ftfuDoi5xFw3IvZEnAhlAqhlXxMGmvq0xaBGiyMnJvT00XE1ssUSzXW2UFoKaUl6cl6gNcttmz8Hgbrj3MtvXNK3\\u002f7VYuHCu\\u002fFfn6f9Vgl4tOOgv4Hdec\\u002fEUX6mLLEueIoQ4NBmzsC1NvhjorrwKn11TspZvLotlmzy2dfomhy3N6WpMxD4NUSiW0H5APJVg2OABHH3YDE446mAOPGAi0yaO2etiwlARhiFCCOx9fOswVLR3dfPSMiPQS19ey5qN23h5zUZK2Xxkbouqdq5oj2r1mXp9z05KQS5f5Mff+Cyf\\u002fvDcyB812vz2+x\\u002fnHZd8gUQqgeeFDGiwufIDA0gnBJ6vqU9a3PVCnitv7iCVsCkUy4wYNoj5n\\u002f8wQgjOPfVY0qkEYASnPy0VjI8qhKhqyGUr1\\u002fHS8jWs27iNb\\u002fzw16SSCbxA0ZyR\\u002fOiDA8gkJb6vqU9Z\\u002fOnhHn51fy91CUmh6DFuzHCevPUX1Ndl0NrEFjzP59R3f4ZHnnyBZDIZHQKvccPsUwEXBiF+ZAGoSg40VDQ0NzJp3CgmjhvO9MnjmDVjEjOnTniF+xUapQEIXGfvw7xc9nhp+RqeeXE5Dz7+PE88t4yOzm7Csocdj5GIR4ekMPEQLzBmfhhqbMto+glDXY6alFBjB7kqHZe2ZUl8JcgXfQ\\u002fBQwhukzH\\u002fr2d9YOHOyucuWDDH+ldV3r2pgl7JPfY3zW+\\u002f+t2NyuIsEfB+DUdnUo5rSVBhoDpzSr+0sSSeXlUSz64ti2wxxPc1MVfg2CaJIaREICj7Pp7no\\u002f0AJxFnxpRxHHPYDM448SiOOHgaqWRfgEcpRRCaA9R1nFdc55r1W1i2aj1Pv7CCx59dzMq1G8kXShQLRQgVMuaSiLlIy6pqnP1p5396nZTm2Xt+y9QJo6saXQjBWe\\u002f7PHfc9zj1dUl68yEfOqWe9xxbR3c+xHUEng9f\\u002fP1uNuwyKa9Cvsjvfvp13nP+aXvd+94Cvr\\u002fnpKvmdvQTzrnki9x276PU16XoyYdcckIdHzihnp6CwrEgW1J89te76cgqXEeS783zyx99lQ9edDZBGFazDfO+\\u002f0vm\\u002f\\u002ffPqWtpNGb6P4mq9o++qXwNgoBiyQPPA9clEXdpbW7gkJlTOHLWAUybOIZpk8cyZGDLXu\\u002fX\\u002f7B39hH87Tvbufuhp1j05PM8+9LLrFyz0WQCHJtYlMoLlaoQByh4Zv2SMcnwFofjD0joSUMcPW1kXAthAnmFckip5HfZlrVQSr3wtI9e\\u002f0AlLVch5ryZAbw3RdDb2trkPKA\\u002fr\\u002fi2a94zQyj1fizOdB17vOGRazqzYbhxj88Di\\u002fPWqm0e63b5KAUxx2hvKQUCUa3TzheK4Ac0tTYxadxIzjjxKE48ZhaTx4+q+ojQ9yBlRGipQCnNjt3tPLd4Jfc98gwvLV\\u002fD5q072bJtJ\\u002fgBMvLVLCmxpIwCWhod5b9fDyqyVVnkfZW9lIJSyeOAyeN45G9Xk04lq4G4l5av4fgLLqfslVFa0pCS\\u002fPCDA2lKC\\u002fwQkq5g0bIC3\\u002flrJ+mETW9PjtNPPorbfv\\u002f9KFctsF9DWq8\\u002fzIFoUmKLl6\\u002fhmPM+RqgUfgDDWmy++75W0nHz+em44DcP9HLdw73Upy16e\\u002fKcPPtwbv\\u002fDD7BtizBU2LbFLfc8wrs++p9RipFXrGHFla5U7L3eY7Oi9UXEfVBKVc1+Sh5OOsmoEUMYN2oYRx86nROPmcX40cNpaqirvocpFArRWuPY9l5rtnN3B88tWcktdz\\u002fCo0+\\u002fxMatOyn35nHTCVzXQUSuh9aGrx+EGt\\u002fT1KUlk4a6HDU5oQ8ak1AD6qWIu5ZUWOSLHmHIs44trg+1t\\u002fDsjy\\u002fcZq5j\\u002f0HpNwJvqKDvezL99keXNAyIBe\\u002fE4hzfV2fVp11hCY3vh+GGPZ54cmVJPru2xMqtHr4hmpFw+\\u002fK9lpQEYUihWAKticdjHHbQVE6bfTinzD6Mgw6YuNfn+36A5pUPK5cv8tQLy3jmxRU89fwynn5xOXvau9FRwM1xHeKua4RaqYjV9fruvVKiWSnPrORqQ6UJjDVejYhXYNsWvZ09fOh95\\u002fOrK79c9Qdty+Lr3\\u002f8l3\\u002fzutTS0NNBbCDjxgAT\\u002fcUEzhbKRhkxS8rXr9vDkyhKpuKRU9rnld9\\u002fj9BOOqDLp\\u002fllUov2XfPqb\\u002fOHG26lvyJAt+Hx5TjMnz0jRnQtJxyWrtnlc8bs9GEPAxEeeuu2XzJw2oZpm27J9N0ec\\u002fRF27+nEdZ29LCAV+b1WxGswXyvX0Fe6+3pRNfulIAwVpbJH6Psmw2FbjBs9jCNnTeewA6carT9pb9eu4h7sqyTyhSL3P\\u002fos9z\\u002f6LPc89DRrNmwBpbEcq5oi1EojBAShpuSbOEpdUnLohDiHjUvow8bHVcwVVsw1QbxCye+WFn9VWv\\u002f53I\\u002ffeF\\u002fls97onoD\\u002fa0HXIOa1HWfN72ee3\\u002f3L94zTWl3oefpDyYQzynEkhAGduUC9vMXnnsUFuWJTifbeEMsSxF3Rr8RREqoQzw\\u002fxC0WSdWmmTx7HyccewjvOmM2U8aOIRSkXE3AJEfAK82v1+s28sHQ1d9z\\u002fOE+\\u002fsIwduzvIdfaCYxFPJLBt0xRFUCmjfO3rGbFUzf1HgfVqGaaiWnyRSUrScUFDykJr2LTH32vj2rZFb3s3P\\u002fj2FVzxsYvw\\u002fQDHsSmVPU6e+ymefG4J6XSCnnzAd97bwqHjE2RLioQj2dzu87Xr2k3VXOAzZcIYnrnz15Ew9V3fP4MgDLGk5K6HnuTc932RRNKlUFScOCPJZ89pIgh19VD7xp87eHZtibqERU82z7f+42N89TPvN5F7aQRu1mkf4IWlq0gl49UYhtaQjkuGNdtkS4ps0fwplMzhKyuCb4kq6UWK138A9O94oyOr0PN9\\u002fHwRbJvWlkZGDR\\u002fMScceyinHHcqUCaMZ0NJYfb3WGj8IkGJvoW\\u002fv7OHpF5ax8PYHeeLZpaxZt9koo2TcxG2EiFiQpkKvWDYuzohWm+MPSOiDxibUuEG2sC0phbTJFfwwVOEzlpDXKEvfdc5Hb2iHN86sf2WI+TVCg1g4Z44UCxeGREJ+2zUXHao1l\\u002fq+ekcy4TSlYppiOVCbOkK9aGnBemZtSb681XALnEgQKl1FhBCUPR+vUMKJxxg5bBDnnnYsZ598NEcdOn2vXKnnB1XhdqW5Bd8PWLVuE3c+8CSPPP0Szy9Zyc7tuwxF0rJwHZu6loYqDdNsuL+\\u002fW0T1r75\\u002fKwWeX+FUC1wHXEuQjplqsiFNNsObHQY32TSmJZmEZNQAh+fWlvnadXuIOaKaVgtDhZtJMmbkkL0+d+2GrTy3dCXxRJyyr2itt2mtc4jCDMRdwYbdAbu7AuozDt3ZHKcefxiu6\\u002fxDOir0aexXQ8VlOWTGZMaNGc6aDZtx3RhLNnmUfEXMFnghNKUlIwc4PLO6WI2cP\\u002fj4c3zl05dUA5RCCCaOHcnzi1+OVtFoPD\\u002fU1KUk335PC4Wyoj2r6M6HdOUUu7pDtkXlvzu6Asp+H7FFShOvsS32jtazf+GvCHf\\u002fZ+06DommGFprenN5nl+6imdfWM53fvp7pk4ay6wDJnL0YTM4dfZhDB8ysBrXCVXkDgpJS1M9Z550FGeedBQ7d3fw2DOLufnuR7hn0dO0d3aDUqTSKZOBQZNJWoRKs2m3zy\\u002fv9UQ6kbVmjY1zzOSEnjU+EdYlpI10jwhCjij7warbf\\u002f7uP5XL4ncXfHr+Vuhj3\\u002f2zJv0\\u002fJegPtR1ni\\u002fkPByxcGC5YMMdKdjhnCcEHQ8UZdSnX1irE84Pw+Y0lee9LBfnsmiLZotECSbciOaYgJPADymUP5QcMGz6YE845mHNPO45Tjju0GjGGSLgFOLZdjZqWyh5PPreURU+8wG33P87a9VvI5gsQhMRTCTIN9XvlRV9LMKiqOYhM76BSJ22ooKm4ZMQAh0H1FkOaHUYNsBk9wGFAvY3rGFqta1cEWVMOwLYEu7p9Al+TcCVhtCODMKQunWLksMHRh5svjz27hFKpTF06SaGkOHisy7AWm7JvNroXmA2j+8nqwQdMrBJ7pKWrwrr\\u002fe3x1IVdRKknpkNbmRsaOHMLKVeux4nHyRcW2joDxQ1xEaIglYwc6xFxBoDROzGHNxq2s27SNcaOGRVodJowZbhzQ6DOMWyboyIZ0FxRNaUk6YeFYDlbUqccUqECuqNjSHrBxj8em3Ubwd3UHJsUauXtS0q\\u002f2\\u002fx9r\\u002fYpPDibn7jg2IhlHa1i5ZiPLl6ziT3+9m8b6DEcccgBnnXgURx06nakTx+zlEnmej5CCQQOaeedZJ\\u002fDOs05g49Yd\\u002fPX2h7jrwad44rkl5HsL2HGXeMzFtiyECIm5AqVg0bICT6wsieEtWfvUmSl9xKS4HtbkaCtmT1RafDMMvSvu\\u002fMV7fk8Q\\u002fP6MuTe+CNDWhpxHG6+3GehrFvT++e\\u002fj5z8c\\u002fLbtkvjAocFZ\\u002fh79OSdmHeHaEqFDOnrK4fNrS\\u002fLexQVr+eZyldSRjEXmU\\u002fS4Pc\\u002fHyxdIN9Zz2EHTuPj8Uzn9xCMYM6JPuwWBCZDYtlUV7p7eHC+v2cjNdz\\u002fC\\u002fY8+y4rVGyj25rATcRzHJp1KVn3tMPz7gh1lbsz9mXs0G8w3h1I6LmmqsxncZDFmkMvYQQ5Dm2ya0hZNGYuEa9ocBSGEUcMEUztd0ZoVkx7yJR19WD8fNVTEYzFaWxr2uq4Xl66CyNfTWtOUlqRigg7fEGKKnmbpphKOLfH8kExjPUMHDUAIgev2ZRX2p917enM88tRLnH3K0a\\u002f4\\u002f\\u002f7fW5iv48YMNzXjAvJlxZKNZaaOiFHyFH4IU0bEiDsSL9DEXIddu9pZv2k740YNi0hHFoMHNEfsoH5rj7GO8iVFY8pUkXm+4bpXDltLQmNa0lIf49DxcYSAnoKiMxfSmQ3Z3hWwfqfHup0+O7tDsgVFtmD4EG6k9Suf9WqCX23CGT2XRDyGTMRNo49CkdvufYzbbl\\u002fEoGEDmT55LKfOPpyzTj6KsSOHVde6Evi1bItRwwZzxcfezWcvvZAXlqxi4e0P8re7H2bthq3oICCZTiGExJKQSZgA4pZ2n6vv6hJ\\u002fe9oWR05McOpBSTVqgKvrk1aDEtani0p\\u002f8Lar332LcPjxWR+5\\u002fvn5zH9F56B\\u002fhNck6AsWzLGEWBjCwvDaay91hgb5d0k7\\u002fJgU8qj6lESpQO3o9PXDywrW\\u002fYsL1sbdxheNu6Y5gOFWWyilyBcKoDSjRg7hvNOO5bzTj+O4ww+sflaFvOI4TtUnUkrxwKPPcfeip7jvkWdZvmodYRCCECQTceqaG0yZZ4WN9ndQFW5hmrp4UZGDFCY\\u002fP2qAw9hBLiNbbUa2Oowd7NCYsvbyEf0Q\\u002fMCYk5X36x9hj0h5VWgFJX\\u002fv6xLRfSXiLs1RBNiShva6cu2mvt8SptWSSa+bmEIQaPb0hKZPXRiQSacY0NLI7vYuvvXj39LS3MAlc85g5LBB1cBcxW8vFEvc8cATnH3K0a9YGyklT7+wnOtvvo+m+gxtV3yIwQNaqJBawtB8riX6BCcdN6Z0yde4UuLlCqxev5lTjju0KlgtzQ1RymFvS0IpTbFsgnEVP7w\\u002ftIZAR4GtyCqzJQxptBnRYjNjdAylUigNu7oD1u\\u002fyWb8z+rPLpz0bUCEnVvgXVY3\\u002fKhF+pRSVJ2VZknQqicwIOrt7ufehp7l30dPMu\\u002fJXHHXoDE459lDOPPFIw9aLoogVbr7rOsyaOZlZMyfzlU+\\u002fn1vvfZSbbn+I+x97jlw2j+XYJBNxhNQ4QhFzjIVz09M57nkpL4+YmOC4aQk9a1w8TLgyg7Tfk817F99+7cU3EIifnXX5\\u002fCfmzzc+PPzjRp9\\u002fV9CjXmJq7tyF4YKr5qRTln1+EOQ+47jWga4j0CpUG3aVuffFonhoWV7u7A5wpNmYAEJII1BBSD6bxXIdjjpkOheffyoXnHU8A5obq4sbhKEhoViWIaUAi5ev4a4Hn+SmOxexfPUGCj1Z7ESceCyGiItoM+i\\u002fa5L3F1AVbZqKxm3KWIwZ6DCy1WbisBgThzi01FnUJS3ijjDaOfIPoW9jVITZeh0BL61f+csas5kSceMvSimibizdSNuqWgX7Rus1UA6MhqyYwUII4jGXv939MFtXrud3N9zO\\u002f3z7c5x98tGESkWNMgSeH9DZ3YNSutp3rVI3\\u002fr2fXcd3fvI7ejZv4\\u002fz3nAdgLKl+Zk\\u002flc\\u002ftLidVXFg6OzbqN2wCqNNT+nIa+B2PeolI\\u002f\\u002fmqoZjOia1CYw7kc7P3\\u002fA+othjXbHD8taYJ7BcXunoBV2zxe3mbM\\u002fp1dAdm8wrINo7Ji8vMqgm8OBNOjwLFtYhknanyhuPv+J7j73sf476v+wMHTJzHnrBM57oiZjBk5tFp\\u002f7wfmIuszKd57wWm894LTWLl2I3\\u002f8y9385Y5FrF61HunYJBJxEBLXUbi26a9330t5HllRENNGxO1zDk3rWWNjqi5hWVpa7y6o4Pzbrrn4Th2oH5zzyflPAlGvv1cX+P0KejUPPnd+CHDXNRfP1YIv2o51cMqCMAzVpt0+dz5fkA8uKdDeG+A6gnRcQsRWE0JSKBQJ\\u002fYCm5kbmnH0CF59\\u002fCicfe2jVPKwUiriOjRv9bP2mbdx05yIeePQ5nnhuKb3dvUjXIeY61DU3oEJV3Zx\\u002fd2NE33uhxvOMEMVdQUudzeRhLgeMiDF2sMPIAQ7pmPGbVZQO83xNydPV6Pq++fB\\u002fhH6WoInIs58oeDVUYXzpUCksIejs6iGbK5iilsjRkdGLNUY4s6Uw0vBGmIIwpKc3x7jRw5gxeRw7duxhw6523nv5PO68\\u002fkccOeuAKN0l6M3m6erOUiyXSSXiaKWwLIuf\\u002fmYhX\\u002frGT3Ab6nDq6zj6sBkAFEvlvmuWUPBMG63+XPK+c0CDlOxu7zC\\u002fLswzta1X1ydaU9W6FSfi72UM9n2+FQSRlaUxFkJTxqK13mLayBhCCPb0BGzcbbT9si0ea7Z5ZEuKQtE857jbp+0r17X3depqbAUgU5cCBN29Oe568Enuuu8xhg4dxOwjD+K804\\u002fj1OMOq9JyK7l9x7GZNG4U3\\u002f7Sx\\u002fjMRy7k5rsf4Xd\\u002fvp3nlqzEK5SIp5ImXqBUNXj30oYSL20oiemjYtbpB6U4clIiSMVlXGGdXyj6597283cvUJb6b\\u002fGR+UugwrZ7Jad+ryfQ54fPD+cDt\\u002f7souMcW34RIc5IOBKtwnDNNl88sKQg71ucpyOriDuQSciodsN0Bi0Uy+ggZOrksZx\\u002fxvG8d85pjB89vLpgnufjun2meXdPjgcefZYbb72fBx97js6uXlCKZDpJpiFT9aP+nuaWkbkcRg\\u002fcCIJmSJPDmEEOowfYTBsZZ8wgh6QriDuSQBltnS2qvTbP69XWlY1RIcTY0vSSq+SE03GJvU+RRfUgUNEwhOi\\u002fC6UyZc\\u002frJ9yRFo2+EUC2UMkamCq6fLFMrlAEoK4ujRWGnBGPcVuuwKe+eiUP\\u002f+0a4jFD42zvMGWy+XyBVCKOZVksXbGWL3\\u002f3WgYm48wMQ+4Jwmp7q93tXdVdL4BiWVP2+gmaNkJWvVgh6M1FjVmiX6potn3vX0jDB0gnJFZZRQ02qDaKrFhOryVVuO\\u002fv+YHGry6zNrnscXEOGR\\u002fnXM8881XbPJZv9lizw2P9To+eQuRGSJMVsmTUpHI\\u002fOiUMIw6GbUc196Zw5roFd\\u002fLnW+9n1PDBXHDm8ZxzyjEcOesAXDdSbqHJ0bc2N\\u002fCRi8\\u002fhgxeeyX2PPMufbrqbux54ks72Lpx4jHjcRUqIu2YdXtpQZsnGMpOHufa5h2b0EZNiOhmzLGFZF2Xz3jvu\\u002fPm7r\\u002fWl\\u002fJ9z5\\u002f5pA7yylXdV0Nva2qRx7BeGt\\u002f\\u002fsvZO1DL8iERfFYpalw1BvaffUzU9lrUXLCnRmQ+IxkyPuc0g12d4ctuty1CEHcOl73sFpxx9Oa3ND9Qa10iYlFqWBlq5cx3V\\u002fvYe7HnyKZavWgVLEEwnS6f4Btf27HhXfuOIrFjyNCjV1KYuhLTbTR8aZOdplZKtJdbmW6OMoK6rCXYnavh70D+xUNqNjC2K28WWzRUVXb8DWjoC1O3zW7\\u002fJYvc0n7poOqpX3kELgBwG5QoH6jKl5r6T+qvenzNAHKatyRMkz1geYQGVvRw9bd+xGKc1hB03jxgV3cky5zJJMkucXv8xPf72QL33yfSil2N3ZzbbdnfRmC7Q0mWfzte\\u002f9gnK2wAkJlzGFIvc11TNz0lgAVq\\u002ffUvWvhRSUfY0fRlVyGIspjK7XrIeoPrOK3PX05vpyYf2en1LwP7d3MW6Qw9jBLmMHOrRkLOqSkkxKRm6WCXbu6zb9I+xrhYUh5CK3QwqoT0qOmpRg9rQk3XnF9k6f1dt9XlhXYu1On65cSDavsKNMSn8GX3\\u002fB1\\u002f2sS8e2iTXUoZRi89ZdfPeHv+Xq3\\u002f2VQ2dOYe45J3HOKUczaEAzWBYqcjkd2+K04w\\u002fntOMP5+U1G\\u002fnTX+\\u002fm+r\\u002fdy8aN27Bdx7h1QDpuuB4rt3qs2Nohpo5wxTsOS+sjJiRUOm7FkfanVcmbe+c1F\\u002f+sq1tfPXfu9V2VRIcQaDu6WCGEUNf94KKWupT4Mjr8WCruJIUO6ezxwztfyFu3P5ezdnUHxF1JJimrkzXCQFEqFHHjMc465Vg+eNFZnHfasdUUTtnzcB0n8r2hvaObm+95lL\\u002fd9TCLnnieQr6ItK2qBql2G3kVVBa8sgGEgGRMcPDYODNGxpg8wmXCYJe4ax5OEELZ0xS13ivg888Kt9ZR2aIjog4tECjY2tEXBNq022fdTp\\u002fOnNmhoTbdTBxrb3tKSkG57NHR1VsVdNuyTPCs3+\\u002flS9pUckbXblkYH7eyTBKeW7ySi88\\u002flfddcBpX\\u002f+lmfvncUg4IQra7Lj\\u002f8xZ8599RjmTxhFBs376Bjyw46unoYN3oY1990D7fd\\u002fzitjo2Ty\\u002fPLXJE5c05n1kFT6e7JsmHzNqRj93V+iTSeAmKWYO0O3wQlq+v0ynqCXe2dryqdq7Z6vLzFw5J5pISB9TZjBjkmdjLAYdwgh9Z6O5p40xdAVXr\\u002fAbxXw74aP1AmPqDLGlvCuMEu44e4nH5Qit6iYsWWMsu3eCzdVGb9Do9SZJTEHBPN35+mr3T\\u002fBcPxiDfV4wcBDzz6LA88+izf\\u002fPFAzj75aM479VhOPu7QaibJ9wOEEEweb8z6T3xwDtf99W5+++c7WbFyHcKSJBMm\\u002fReLyGUrNnus2NwpDh4Xt951VEbPGB0LkzFrcIj4VlNzeMntV7\\u002f7m0Jc\\u002f8fK7dtGkwt1688uOtt15I9sxx6LCiiV\\u002fPDBZQX51ydz1oZdHjGnL4JuGn4IfD8glUpw9ilH8bH3vIOjD5+J69jmZqOqqJjropTi6RdX8Odb7ueWex5hw6ZtoDXJVJJMJhXlrP9+tLwiaCXPrO7gJpuxAx1mjYszdUSM1jqjCfzQmOMlz0Rp\\u002f5nAGfSZ4pXXWpE5Z1uC7kLI1vaAjXt8lm0qs3q7T2c2pKeg8DyFtASuYya4VPxos2577wxpWWTzRbZu311NK6ZTCRKJGJ3dvWjbwnEEa7Z7bO0IaKkzB2wmIbEibncYKpxEnNvvf4xPfvCdDBsykIf\\u002f\\u002fBPe9\\u002fn\\u002f5uW1G2kpFNmxdSdf+NZVXNn2Ke5+6ClEGLLg1geIx12++t1r0WFIashAnrUt3n\\u002fyUfz065+kJ5vjpjsfZs2GLSQTsWpHlkRMEnNMBxs3Lnl5W5mip0nFRDVn1lifqT4zgI1bdpiF3EcwhIBUXFZJLVrD7p6QLe0BDy8tkIhL6hOSoc0OU0e4TBnuMrjJZlC9TdwVlINKswiobJ\\u002fXbOrTZ4wqoOj1uScJV3DUpARHT0nSnTPX8+yaEks2ldi8J6A7G2JXG4e+2v4xuXopJZm02eN72ru55lcL+N2CO5g6fgwXvuNkzj31GMaNGlZ9XRCGDB7QzOc\\u002ffjHvf9eZ3HLPo\\u002fzqult5cdmqqBmJWcZKwPu5NSWWbCyLY6ck7POPSKvxg11tSTHecuUf7vz5xRfntPWhuR\\u002f\\u002fwzZ73tQVYj4gpZyeiLtjy2XPW7HFc359f7e1YouHlFQFvG8xTVui5sZ6fvLtz\\u002fHOM4\\u002ff6yYrUceduzu46c5F\\u002fO2uh3n06cWUi0WcWIx0OhWla9Q\\u002fFPAKpIBETDJ1gsvh4xNMGeEyrNlBY0zxINT0FFQ1yt4\\u002fR\\u002f5aUA3CRN+7kSle8eM7copVWz2WbS6zYZfPxj0+3VEPOhlxtR0b4q5VzctWDsWiZ4Y7JFxZ3YRaa2xLkuvNsnbjVo49fCZaa1qaGqjPpNi0bRcacw1bOwLaewMGN8UoeZrGtIUtwYsExLFttu1s54z3XkFDXYaLzjuJe\\u002f\\u002fwfTq7e1m5djPv+9R87rjvcV5YspKe3hzOgGZ+dd3N\\u002fOmmu9m9YzfnnnUi3\\u002fnKxxk5dCBhqPjc\\u002fJ\\u002fy6DMvsW1HO7bVF\\u002f1HmXRawhUUykYjbusIIn53lPwLQ4YMaqneI8DyVRsQUhqrgMoeqnAWFHbUnFNKcCXEnIo\\u002fq+nMhezpDXlhXQkpzQE\\u002fstWQlKaMiDF+sEM6LknGTO14yTfWTzXm8hr2wb7ugNaQLxuVHXeECd6OdCl5Gdbs8FixxeOZNSXW7fQJQ73v+bXPvuoL4tm2RayxHj8MeWHZKp57YRlX\\u002fvx6Tpt9GHPPOYnjjzyoSu8GaGlq4EMXnc1F557Mf\\u002fzXz\\u002fjFH2+pNseo6Ixk3JBv7n0pz1Ori\\u002fLMWWkuOjoT2o4UCI7PqDANYDNnoQJE4GR\\u002f0t2bem992pkoBHrNdt\\u002fkHa0+Ae9\\u002f8ZYlyRUKfPU7P+fmux7m0AOnGv8D2L5jN08+v4xHnnqRXe1dRmOkU7j1mWqF0WuFFMb\\u002fPmRcnM+f11Qd2+MFmny5ny8o+goiXiv6a23H6ius0Bq2dpgo7ZqdHss3eWza41P0NCXPpKoqFo7ZJCI6wc1Ul0oUWQONKcmYQQ4NScnL2zwKZV3VAlJKVNln2cp1gAk21mVStDY3of3ViGTfNT6+ssQBo2LVNXFsgS7rapxCAOs3bsMPAp5+6kVuv+9xfvfjr3HkrGnMOfsE\\u002fvunf6A7m0dLSb1SdGhBkCsQSya57P3nM3n8KBY9+QIfueI7rF21HpmI4zo2th11XYm0X8w2GyvuCDbu9nlpfZlETBJqE4Qk1NXAqyUl3T1Z1mzYYvLMlbiGMEI8stUQkLZ3GcZbrqii1k4a2zJMt7grI5prpPG7A7a2+zyxskTcydEQVYlNHhZj9ECb0QNdmtMmYh1qk\\u002fuvBAujbO9r3ncI43aFvqbkm9dOHR5j6ogY5x2WZtlmj\\u002f\\u002f6S0eVC\\u002fD3E4X9tLwQJBMxRDJBZ1cPv73uVq676V7GjxnOSccewgETx9JQn6ZYKrNu0zYee\\u002follq\\u002feiB2lXPujIkoNKYvu3rBaNuw6tswVvSvPueyGVXPmzLFsIdALFsyxzpu7MHvnNRd\\u002freTrhTNGxdRnzmm0vn9zJ3FRKcN75YUHQcj6TdtYvXYT111\\u002fa5\\u002fjqzW4DrFYjFQyXuV1h\\u002f8gZ7r\\u002fxTF+0aqtHht2ecwaF6cnH1aLHl7ve1WEgkhYKvny7rxiR5fP4o0llm0ypvKuroAg1GZWWhSFrUtWSDzGZDQBo6idcNKiOWkxqtVmwpAYYwY5tNZbNKUtMgnJ536zm5XbPJJuXw87mYzz9AvLKZbK1f5o06eM5YFHnq5er23Bk6uLXHh0hmTMdK5trbfoyIamdVa0rLGYQzzmIjKS+xc9xXHnX8Y9N\\u002f4Pg1qaI9aIxUd7c5zolZlXl2GJ4+BoTUtzI3c+8CTnf+g\\u002fzGHT0lhtz1zZWOblgpZ6m1CZhgvPrinRnVek44bxGAQBdS0NjB8zAjAH4FMvLu+rXIsuVAoolzQnTU\\u002fyntl1bNoT0J03JvLaHR5rtnvsiJhu+VyIsPqYbjHHCH\\u002fFFerMKh5eXuShxQXSScmgRpsxAx1mjo4xcZhLU8qiPmUEpOxHdOZoP7yWwN6+VkGuZA6jdFzyzKoi2aKq1i+89n1YYeOF2LaN21BHGIasWreJ5cvXQBCYQEyoIiaXGx26+++Pb0vozodMHxvnE2fUK9uSVq7gb0wo+0oNYt6UhSYY9653LQwXzJljnfHx6\\u002f5y29UX\\u002fc613fefOD0Z7O4J7d8+0EMiCmztW08thCAWc0nEYwiZ3msF+\\u002fp4a\\u002f7xWfd3FgWq9Mvv\\u002fa2TL76jiUPGJSj6pnVvNdf9Kq+ln9Z2bYFj9dFSt7T7rNzqsXq7x8qtHpvbjWCrKHgWd\\u002fdu2BCEpo9YhWllW4IRLSZ9N3awy5iB5t+ZuKy6EJVSTMeCoc02K7f1jftWShGPuTy\\u002fdBVr1m9l+hQT6T7+qFn88NobqZj\\u002fMUewoz3g\\u002fiV53nV0BsvXzBwVY9nGsmHNVVN10VorRV1DHevWb+Zdl36NmGODa3NiscTHC3kk8I2eXi5tamRHEDL\\u002fB7\\u002fk2cUvE4aKZCK+TxrTHI1KG79w5qg4GujKh9zxfB7XFtUMQr7oMW3SGKZPHlstaHn0qZfId\\u002fdS19xY5ZcrDbG4YGiz4e\\u002fXJ82E1UlDXU6cnkQpw3Rbu9Nn4x6PjbsC1uzwae+tMN1MAM11jGvj2gJiRvA37DKB0AeXFIjHBGMGukwd7jJ5mMukYS4NKatKkqnw6fdlN75iH\\u002fULvKXiJk7y6we6+evTOeKvU8hf+d59AbyYG8mSqBQ+VfZvJZ36SliWSbeOGeTwxXc06rgjdaA0FvqzJ3\\u002fyjx06Gn1tV25k+ZSFWmvE366yP18seTNd15n5riMzoW0J69f3dZuosS3YN9tV9UHe0DL5fT\\u002fDbPbeguKbCzuZe2SGUw9MMqDexg91VTj7oxqEi6qdglCzsztgW0fAsk1lFm8ss6MrpDsXEoQaxxG4lvldGZnioerLyyulachYjB7oMLzVZuLQGJP6MekSrknfecErmXQV8\\u002fvAMXEeXFLYJ\\u002fIuKeSLLLz9gaqgH3bgFEYOG8SO3R2mPbE213frM3mOmJhg7CCHUQPcasptfwj9kExdhsUvr0UoBYk4o3I5AHqFoElrWoOA3fEYt9\\u002f7GG4sRiLu7idmUpkWA811FkOaLGwpuOXpHDs6A5IxUWW3qlBx2EHTyKTNvLhcrsDt9z2OnUpUm20KYar\\u002fBjcZzesFZm36B8MAWusthrXYWNIw3Xrzip3dIau2lVmxxWNLe8DOLp98uY\\u002fpZllGEKHP4lq+ucySDSUScUlT2mLsQIeZY2JMGGwCe80ZqzraKaxq2r33kbRMoZJSsGq7z42P9fL4y0USzhvb6bEya+61oKJIsnnFxGExvvrOJlrqrNCyHbtUKF95zuU33LxgwRyrQnrb6wzT2uTSb7lqzjjXdR9wLDlCKRU+sKRg\\u002ffyebnoLykRXeXWu8JuJSu615GtGDbA5dHyC6aNijB7gkIyLKsnEpLQ0hbJma4cpfFi93WP9Tp+tHUFVI1vSaPhqzzeMYJeidFHcFZEPGOtj0rU61CUloepj0gVhn9Wwvyis1saa2NEV8Lnf7DYDE6JYgJSCYrHEpPGjefTmn9NQl0Yg+NiXvsu1v\\u002fkLdU31piJNQq6oOWVmki+\\u002fs5mdXQFf\\u002fmM7Wzt84o7Y66DTgC8EttbYQmADJa35eKHApfkCRSEoC8Fn6zK84DrEhURpRTm6B3ufB2tJozUuODLDZ89p5Lm1Jb56Xbu558qzkZJiscS9N\\u002f4PJxw9CwHcfPcjvOOD\\u002f0E6lahqJCmgUNYcNy3B1+Y0k+8Xs9h3zSp7rGI9VTjxINjVE7Bxl0lnLt9cZs12j2xJU46yHnGnz7UTmKCqH1aeGaRiglEDTfpuwhCXUQNNBWJlP1SuIVSajmzIqm0eL64v89zaEr1FRTL2v9Pk\\u002fywqe8wLNGVPc+TkJJ89p1HXJ2VgO46TL3p\\u002ffW7n+AuBveYi2Hu\\u002fyXyl29qk+MT8tbdfPed8pZybY4497JSZyWDsIMf67QO94unVBYQwms+JXIb+1vmbee9am5tMxQVb2wM27Mpy27M5Yo5p7pCKGe2jgJ58SK5kzPuSb0gdrt3Hw0eAjDZAOZq5FipNU9pi6ogYU4c7TB8VZ\\u002fRAh8S+TLrC62TSCWO+t9ZbHDgmxoOLi6STxuRWSpNIJli+Yi033bmID110NgAXnncyf1hwl2nqiDng0nHBvS8VGD3Q5dJT6hg3xGbTHr\\u002f6MRLICcE7iyWmBgE\\u002fSKcoa01Sa47yPJpCTRSQJgRm+j6BECyzbTwhmBb4fKhY5IepFNulxMU8z4p\\u002fftiEBL0FzY9v66Ls6+oBY0lJoVDg8FnTOfKQ6aDNOKtrfn9TFMOrhAwjV0zCUZOTBJW2a\\u002ftZu3\\u002fEdGtMSQZNTHDYxDhlL01XPmTFFo9lm8qs3xWwbqdHtqiiA0LjWCaIW2kwohSs3OqxfHPZlBY7gphtWnZVhFhp4\\u002fvmipqSb6i\\u002fCddUEr7OHqD\\u002fFPrHB0TkBvqBoWgPbLS54KQMZ81KaSFQtmM7haJ\\u002fe+jEP\\u002fCN+fODr0fFLhW8goQs5kfCftn852+5as7xUorfObZ91OiB8J9zm8InV8XFHc8V5NodHr15BdKY9Ca98vpIDP8MNIYoEnMEMafP7MuX9u7eIqLSSimIyDPGMatoCd\\u002fXeL4iEZcMarCZMMRh1jhjFg9ussnE5f+KSdff4pECHEfQmJYcPjHBYyuKe2tgpbFdh\\u002f\\u002f55Z+Ze\\u002faJpFMJjj1sJiccM4s77nuMdDqFViY2kHQFf1jUw5Ami4uPqefhZX3vVdkYI8KQT+fylAV8L53G1zC77DNEhfhCIIFAwDGeT7u0eN5xGBGG\\u002fFc2xzTf55pkChVFYKWAXEkza1yMqcNdvvqnPWzaE5CK0joVhKHiQxeeRSIKKN754BM89NhzJJOJqjsghNmow5sdDhoTM0HJKKBZDe+8SrxlX6ab4bb3PZOmtM0JB9icPCNFZy5ka0fAii1lnl9bZuMew3MIQ0U8JquWQTJmjiEVuWj5QJEthnvtIxntIyc6DCodhd5sVGIREPVF8DWOKxjUaHPslASnHpRSw5scXQq0ZduWVSj6vyoU\\u002fE\\u002fNveK6YoUAt9f6vdoHVbiyC66ck0gmna8J+Ew84SQdYaZPLttUZsWWMpvbfVZv84xZpAVFT1VN338l9nu4RNpCCsOEKvu6yu4a0epw4Jg400e5TB0eoy4hEdIcIuWIK\\u002f\\u002fPHFoV68bEv4xmKAWadTs8Fm8s8+L6Mqu3e68w+6SU5HpzfPurl\\u002fGVT10CwKInX+C0d30a23WqKaZKasq1BZ85u4nFm0rc9lSOVFIiFGSlYE6xxLzeHJ6Ay+rreNpx+VFvLyeUPUoCLCAUAkcpPl9fz\\u002f3xGF\\u002fqzfLRQpGVtsWHGxvYIwROtIQa+ORZjTz5cpFHVxTJJPpiNVJK8vkis2ZOZtFff0YiHqNYKnPc+ZfxwtKVpBJ7C3qoIBOXzBwdY8rwGNNGuYxodoga7FYj46937TV7MxfNrDnzeds7ApZsLLN8S5klm8rs6QmNSyCiysBKVml\\u002f1sVb4KKCIUVV5uUNrJdMGGp4I4dOiNOUskBIAiUIw2BnGKj\\u002fPPOyG34VXe5+qEn\\u002fIK3YFkXsAG656sKp0pKfEUIcq5QamXBlLOYIYxp7mlXbPW55Js+za4pvzp2\\u002fDlTMvmr6y9ekE6bt0dQRLoeNTzC81aY5bXyPkm98t3+kVfaHioknZb+aZ2F8yE17AhZvKPHCujI7ugJ6CiFWVMZb2fR91yxQoSIWc3hg4VUcdMBElNZ8+Ir\\u002f4rfX3UKmvq4anZXCkFUcS3DM1CQvrS\\u002fRmVO4EvJCcLDv8+OeXhqU4r\\u002fTaf6YSvLN3l4uKpboEgILc68xrbm4sYGljsO13T2cUC5zfyzG5+vrCDCugB9qJgx1URpWbC6Tjsu9NJoUhsZ78+++xxknHgnAvCt\\u002fxfzv\\u002fWKva66sa4XGWoz4CE0Zi5GtJt5ywMgYw1tsMklZbddV6e7zegS\\u002fvzUl6Eujln3Nnt6QVds9nl1T5OUtJo0aqr7qtUoq+a3wv6HvMGzOWJx3eJqjJiUZUC9xLUEQxad8XxVsS24Qgls9P7zqvE\\u002feuN00onj1IY+vZelEW1ubqAj8zddc9D4H8ctQGReuIxuKu1\\u002fMs2hZgY5saFIdbzH80GySuG3yqkdOinPQ2DgTh7qkYsJEWJVJrUSVla8ZlZRdZTVjkUlX9hW9BcXLWz2eW1vi5a0em3b7+AocCXYUGdbabPIgNH3A+8NoxwJHHjKDe274Ealkgi3bd3HMeR9j+849xGKxKtmosiFCpUnHZLXCTQNxrbmuu4cJvvHTf55J88XeLB\\u002fL52mXci9\\u002f7Z1NjWyVkt9093Cc53FVKsn3MmlSyvjztuzTtLF9gn6VLrYf\\u002fcA7ufq\\u002fv4CUkvsffZbz3v9Fk16TspqHr5jtnq+JuTLy780zqHTpqUtIxg9xmTTM4aAxccYNdkjGTOVfyTdtp\\u002fv7rK\\u002f5mVUO48gEt6M24ju7AlZs9XhhXYnn1pXoyIaEoSbmyNfN0XijUWk2esDIGGfNSnPg6BhSos1QTN0r4J1nXXb9\\u002ffDKSrX94TUv17WXHuw0njRGuZ3OUa4QD4RKWzFb0HZju3jypQLJ+r55Ym8lBNBSZ+qQj5qUYNIw15jlwvjy0URj87uvY7NUTHLb6osAKw2b231WbvF4cUOZZZvKdOcVJd8EgQz\\u002fIIr4RjlbS1CN3j+1qljN41ZgWRbZ7l4+csn5XPu9\\u002f0AIwd\\u002fuWsSFl34VOxZD0JcCqvjke90TUBaCn\\u002fb0cGapzM9SKb5bl+Hj2RxX5PJ0SeOjW0CPELy7sYFuKVnQ1c2EIOArdRkWxuNktBF06OMy9H+2lmWRzxWYPmUc9\\u002f75J7Q2N7Bxyw5OmPNJtmzbSTzuViPtIgpGmo49Lss2ldkeTd6xo7StJQxxqZJmS7gmz37w2DiTh7pMGOYysN42\\u002fP6oIOWfMvF132Ht2BBzJUGg2d0T8uzaIs+vLbFmh09vQb1ut+2NRoU\\u002fghZ8\\u002f\\u002f2tzBjtai8QaK17A8SRXrO3ioUwd+E\\u002f7hD7mnvGffQXz\\u002fttg8+S8+fPf+TWqy78Yirp\\u002fjAIw+C9x9VZ63b4oisfEnf6yBv\\u002falS40yNbHb58QTOThrlkS4og0BS8vtTOa9Xe\\u002fQNcUkIqIs\\u002f05EM27vF5cX2ZxRvKbGn32dFlqo9iEXurzjFliCVf43sm4De0yeHAMab32ahBDkMbba6+q5sbH+0lnegrXw3DkHRDhl\\u002f+8W8MGdjKvM9\\u002fiHecPpsvfOJ9fPvKX5Np6DOHKxu2\\u002f4asZB2W2TbnUqYuyl9npcCLtKEGLDS90qIcpd8alaJLStZZVtW07\\u002f+eeweozLilxoYMP\\u002fvOF2htbmDn7k7efdnX2bB5G3XpZDQZJ3ptRJn95JkNHDg2zoZdPqu3ezy9usjyzR4d2RDfVyRikkxU+lzpmLpmm4dtC4Y1O4wfYoqYJg9zaclYpFPGxK+0A6u42H9PQKtuWeRC+JFAN6Yl5xyS5l1H1XHTk1muuae72gzjrdjSfcpIMPfoDFNHurrsC2Xb0vL94GPnXXb9ira2Njl\\u002f4WvrGfe6zizdr0Hk7ddcdFUiHrtc6CBYuqlsf3NBB53ZsBqNfasUu1IwfVSMD5xYx\\u002fjBLoEyBI1\\u002fZPL1D+b0zXcz33fnQ16OyimXbS6b0sxoc7k2uLaMfE8j3JWA0JiBLtNHuRwwMsa0kfFoE5vrqbS1+voN7Szd5O0Vxa6w8fKFIl\\u002f\\u002f3AeZ\\u002f\\u002fmPEAQh7\\u002f\\u002fsN7nuxjvINNa\\u002fauPLSorthLLHdV3d3JBM8LmGOs4pFPlmNkeIOQgSWvOS6\\u002fKxujrq0dza0Um7lMxtbKAcZVD2h8rkGr\\u002fs8YeftnHRO05hx64O3vWxr\\u002fHoky+SqUvvdW2VqP1HTqnnwqPryBWV8YctcwDszoYs3lDmpfUlFm8s097bL1DmGk0fqj76qhDQmLKYOtLw26cON007nahm3N+nD+DfE\\u002fr+8ZWYIwhDuH9xnhse7aUzp161Mu3NhhSGY18sK84\\u002fIsOlp9TrUKETMUfmCkHbOZdf943XYq73x+u+Fa2pBvXuuObi38XjzvuEDsMNuzz50zu6xeL1JRIJuVcTvn81ip6mISU57cAUpx6YYkSrjdZELKy92U+V012KPjMyXzJtjTfs8nlpozHJO7IhhVJfpZUJ3JiWzn7UriqZkIxodThgpMuh4xOMGejQmDbMtqKn97ISNGZzbd7j03ZDO3t6wr184P7C\\u002frXPfID5n\\u002f8wZc\\u002fnnR\\u002f+Mnfe+xh1jXX77bgjgYIQjAsCFnZ186zj8OGGeo71PH7Y04sFBEBaax6OuXyyvo4JQciNXd084Thc1lBPXO+\\u002fIqtSvFMqlfnJt67g8g9cwKatO7n48jYef2YxmUxqr0YhRsgVJ89M8dlzmiJatPm\\u002fiva1LYi7RjPv6TUH6jNritXS3CDUxF1Z9asrxUNFTyMwAx8H1tscMNJl5tg4owc4DKy3sKSoNsXYdx9WDnxLmvhKyVMs21zmlqfzPLW62Fc09C\\u002feuxVqbtHTOLbg\\u002fSfU8Y7D0ipUQruubZXL\\u002fvfP\\u002fPj1X9QL5ljidU5j\\u002fafOLB2NMV206Dgr+\\u002fLQHyXjzifQAdmCUgufzMk7ns3Rkzcb1424wPu7ojdrISvptJKnGNxoc9DYODNGxZg41KU+ZYI7lZPe1DJrsiXF+l0mVbh6u8+6HR4dub7imUoteqUgoSK4CVcwotXh0HFxpo50mTQ0RiZhAn6B0gRRAKm\\u002fdqhYD0pBS53kpQ1l\\u002fvO6PRR9jSX7NliFm5DL5nnvu87kmv\\u002f+Iq5jc84lX+Duex8l3Vj3Cg60JQQBEFeK33X3EADvbmxgUhDy854eklpTBhq05uZ4nC\\u002fWZTjS8\\u002fhNdw\\u002fXJJP8JJ0iLSqNFfreWwjTm65c8vjxNz7Dpz\\u002fyLh57dgkfueLbrFy7mUw6uZeQC2F6B8waG+dbF7eAoFq5J\\u002fZZC6VeGSjb1R2wYosJbL64oURnVuH5qq\\u002fOPzp0KsG8ir8+rMVh\\u002fCCbCUNjTBjiMrTZImZLZBRRrzQC8QPNji5Dh35pQ5nFm8qUPFUNkL4Ze1NU\\u002f3rlzzVmfYSAyUNjfOCkOg4cHQu9QFiWJSh6\\u002fjfOvezGtv6ZsNf92f8M2tqQ8+cbhvsd11z8aWGJb8UdmdZKhet2lsVdzxfkM2tLbOvwqzXb0PeQjXn76oX7\\u002f1sIQEjwAyj7ipgjibuC5oxFU1oSd0wXl6Kn6MoquvKhaVgRmd6JyLw0p7\\u002fhyvuBmaNmRR1JZoyKcfjEOGMGuqTiRij\\u002fXsCvolkqOfZAmZTV4yuLPLS0QKFfuWP\\u002fgJuUkmxvlqOPOIiff\\u002feLTJ04hvd\\u002f5lv86a93E4+51QISKQX5QglHSsoxl5909zAlCJjT1EB9qPl9dzcNkaA3ac0fEgm+UZfh9FKJq3p6+Xh9HffGY9jFMpZtJocG1XiAxrUdfnXll3nnWSfwq+tv5T++9TO6e7OkkslXmOsa05Z69ECXE2ckOXhsjFED3L3WUe5TNvqKQJljGol050Je2lDmhfUlVmzx2NpuBifYlpmSI6VxJ9CGA+H7puIw5hg2XGudRV1C4jrGDciVNHt6ArJFtdeBvb\\u002fCrTcSlZqMSmCzcq+BAteBacNjnHBAktkHJMOYjcCyZRioPYEKPnfWx2780z9Kof09\\u002fK\\u002fETIOYF6Xebv3pRUdYtvyR61qHORagld7c7ovNe3yeiyKZ+bLC882mjLuCzmxY7bb6ZqF\\u002fTr1SGtq\\u002fDVAlt1thQElJtailP+UwGZcMbLA5aEyMQ8bHGTfYBIRMBZSujkvat+a5f5AoFnUlae8NeHFDmYeWFFix1aM3H5KKatsrvv++\\u002fHXLsshm8zQ31fGVT13C80tXc+PN90XVTlAu+\\u002filEjOmT8K1LJ5duZ5P+h5zCkXe3dhAXggWdnUzMFQUBLQqxU9TKX5Ul+HifJ7P5fK8p7GBlZbFcdMns3ztRvbs3EOyLk2lf5\\u002fr2Hz1M+9nzfot\\u002fPJPtxCLx6KOQn0pP61NrrdSKVj2zfoNarI5cHSME6enmDTMJRWTJs3YvzPMvusWBRqtCgEG2N4VsHKrx1Oriyzf5LGnN6w29ai4U2BctMpk40qH3\\u002f57wur3vCv7481GU9rCsQXFssnKxFxBU8oymYUo1pCKS0Jt+uVppe4uFoLPnf\\u002fZP7+s25BifpW\\u002f9LrxhohYJTDQ1nacfejAIe+XlviQH3B4zBah4wgrDM1IWdcWeL5mzU6f+5cUeGZ1ke6cGbT4r\\u002fKH9qVS7htdrvDSg9Bo7pGtJlp+0Jg4U4bHooaYlflrrx7wqQR6XNuYpErBup0ej79c4omVRTNwkT5NUiibzThhqIstYcWWMsn43makJSWe71Mumy4IZgCAwCv7DB7YzMcvOZ\\u002fPfuRC7n7wSd5x6Vc5RcB\\u002fZrN8uL6e1bbNHR2djAhDckLQpDTfTaf5VSbFZ3pznOSVuaS+nqJjs\\u002fbRG9nT2cOPrr2Bhbc\\u002fWJ3gEoYhpWIJpIx6tYuqeW9JKPnG554+Msa6nR7tvYZXkYhJyp6mHGhiDswYFeeoyQkOnxCnKWPtzYh7leYQlfSmG\\u002fVs0xp2doW8uL5kTO+NJbryqvo7lXLkvZ5t\\u002f2f+Ku7kmwUhYPxglyMnJzlmcpyWjIWODpiozFyXPK2V0tqxxaJQiV+c9fHrFgBEPvn\\u002fasjiG6ZLdVubrMyD+u1vL4kPLHsnB0p8y5JiehAqnXCl2NEVcNeLeR5ZVmRXV2AaOryGzhxvNionekWbDmmymTzM4ZgpSaYMj9GUNgmnfQNq+wq4xkSSReTTxxxBR2\\u002fI0s1lHlpaYOnGMl35kJhj6I2hNpNKXFswaZjLcVMTHDMliRDwp4d7uOWZPFbku\\u002fa\\u002fViH6GpCXPZ\\u002fhQwdy2++\\u002fz5QJowF4efVGjprzCVJd3fwlm+OyugwvOA5\\u002f6epish9QEIKk1nwjk+bPqRTf7OllmFZ8IBbniBmTuG\\u002fBT0klzdy7q39\\u002fE5\\u002f4yg9IJRN7jWzqPy\\u002feaHFFc8bmQyfXM3tqgm2dIQ8tLfDoigKb9\\u002fg40dRcMMFOIWBwo82scXGOm5ZgwhCXpCujtlt9uft90d9Csi1IRK\\u002fZ3WPM+8dXFlgb9fBzbBHVYbz1\\u002fA6oWDowZViMsw9NM3N0nJgNfqgrRJjHtdZfe3739sfnz3846G8x\\u002f28\\u002f+w03mpctmONOm7vQu\\u002fXnFx0hEU+gUa4txANLCuLqu7rIlUwThgoP\\u002fK1efx35dem4YNrIOEdNinPAyBhDm51oLHPEoONVNl70l9bGxDR16aapxSPLCzy9psTaHabCrNIkoRTlfusSkoPHxjhpRooZo2MkXFFtfmlZgkdWFLjhkSw7u\\u002fbTFx2j4bPZPNd+\\u002f0tc+t7z8Hwfx7YJleKgU9\\u002fPipXruatY5JupJI\\u002fGYvyqq5sjPY9ClDv\\u002fWl2G2xMJftTdTc52+M8g5NL3nce1P\\u002fhKVBprzJVTLvw0Dz3yDKlMep+0XtQrTsCMkXHef2IdYwa6FD1jmrq2Cao9s6bIA0uKrNxaxo8YgZYQlANF2TfFJVOHxzhyUoLDJ8ZprbPQ8IoGn\\u002ft7dpX0mGMZLR4qWLvDEJieWFlk7Q4vaiTyFuXK+qGSNvMDTeBrjpiS4IvvaMKxUFJKoZTOh74\\u002f\\u002fdxPLdzQ1jbHnT9\\u002fofeP3\\u002fW14Z8em\\u002fxqmDZ3obdgwRzr7Dk3PHX71e\\u002f+firlfqFc8sKJQx2rKWNRLAfEXcF+MkP\\u002fekRBn4uOrePYKUla6kwDCT+EfL+hDvsT8Iqfb0f0VteGzpzi6dUlHllR4KX1ZXoKCkuYAQ6VVkY9BcXgJpujJyU4cUaS0QMdbGkGJ+ZKuhqo8ULNaTNTzBwV5+vXt7N2pxfRi02MVghBsVRm+rTxXHzBqVSaRIJpGT1z8jiWrljLBtuiKXJAu6PJKQLwMMw4tMbSsMa2wA+ZMmFM3z0qjW1LLrvkfB558oV+9Nu+kcierzn\\u002fiAyXn9FA2dNki6a9VSW20ZCSnH1IhhMOSPH8+hIPLinw4voS2WJIzJXUJU032+fWlXhhQ4mFT1gcOclYNpOGukSXZZp\\u002f7JMbF6KvPNgPzKgtgPFDXCYMcTnz4BTbuwL+8kSOR5YXiTlvrWav9EGQkZUxMzrc\\u002fRAVcyy7WAy\\u002fcu6nFm6IXOE3TMjhTRB0gDlzFirQnLV73pduG7hqVDoZnzOsWQTfeU+rPe\\u002fGDlZvK5NOymrA5a2CqQQzEzrrkpJUTJIrK2N+R5HjfSPgEHWkdY1ZmC0oNuz2eXxlkadXFVm\\u002fy68GhzIJI+AVU3XMQIcTpyc5YmKCYc0Ovopmu6GrJbUVNlZdQrBqu8efHu5lc7sxfQUmxaW16Q8XFEu847TjSCUT0cglMylHCMHhB07hjwvuZI1t01IRdBmVEgMlIegWEktrbGAZAqchw9SJxvwXUlSHM55+wpGMHzOClWs3kUzEKHt+v0NF8MCSAnFH8I4jMqTjspomkrKvnFRKOGZykiMmJFizw+OhpQUef7nIzu4A1xbVterMKv7yeJZ7XyoweZjL7GlJpo8y7bwr1pAf6lf1sQUm3hFzBPVJiy3tPrt7AsNdf4vNR0tSHX192WkNnHd4RudLKkwlHDuX96485\\u002fIbfqrb2mSlK8wbiTdF0M2BLwTz0B2\\u002fu+R9sliSyUT8gtYM4bcubpZX39UtHl5eIBb5UK8yjOVNR+W5\\u002f\\u002fXxLC+sLXH2oWkOmxBnQL29VwS9Yp6r6GuhrFm5rcyqbaaZ5PLNZfJljSWi2ncp8QNNrqiwLZgxKsbJM1McMSlBXcKY9rlI+PtHm0MNCcek8m56KsefH+tlT09IIiaRQuD5Po0NdTiOw+49naQa6jjykOnRQWTuxhyeiplTx4Njs0HCYN+ouh7Zp9F9oFcK0kpTFIJNStPSUMfUiWOMtq5clTYTX4+cNZ0Vq9ajNYwfPZyNW3ZUtXq2GPL7h3p4cX2J9x5fz0Fj45SjiHp\\u002fDZwvKwQwcYhhtZ13WJoHl+Z5cEmJLR1mDFXcEdSlLPxA8+zaEs+uLTGgzuKgsXGmjHCZPNRlSJNTrTTrv34VUz4MYe12jweWFrj3xTxFT5N4izrCQJ9FmC0ohjY7fPyMeo4Yn9DZQkgmFbNzhdLVZ192wxfadk+QzJunmT\\u002f\\u002fDb+GN9VxqeTaH2prswuD11zr2PYHlQo1aHXbs3nrhkd66cyFJjUSEaz\\u002fFUX9+0JKM80l1DCw3qqOTm6pM8MKlIZCWdHeG7Kl3bSj6smrajfaaokjlcIMRTohOWhsnFNnppg+MkYqboYehPqVPmfFJE3GJGt2ePzuwR6eXlXCsSsMLUEYhiTicb75H5dy1W8WsnLtJoYPGcijN\\u002f+ckcMGobRhimlMIc3W7Xs48LyPMGLbbg4Ffp6I8\\u002f5CkS\\u002flcpSFYE9Ed01pzbvKZX6CZMaBk3nmjl+bi4rYcUaYJVf\\u002f\\u002fi984ss\\u002fQEjJ5e+\\u002fANux+fHP\\u002fkSmsR4Vhghp5rLFHcF5h6d55xEZMglJwdP7vV8wcRrXhj09IU+vLnHPS3lWbfNQChJRt1sVVRmWPcNKbExZUWmrw+BGi8aMVY335EqKHZ0Ba3Z40TOqHJL\\u002fesuxkrYNoz4IQsAxkxN86OQGBjVaQdnHdmyJXw6+deblN\\u002fyn7jc+6c24njdFo1cwf77Zf0LMD4EP3X71RWsQ4r9c17IuOCIdHDwmZt38TE48vKxIT8H0u07ERJXBtO8dv1kPSymTkhFARzZkd0\\u002fIU6tLe2nKCkut8gBtS5BJ9lXIlCOTsiElOX56mlNmmIh9pdgmW1T9ep5FnxsJfSpmfPS\\u002fPpnlxkd76cpFPcmia5NSUMoX+e+vXs5ZJx3Fl779MzMFJ+bS0lRPJRooInL+zg3PsmXJ\\u002fQxN+mzE5iDhIzAaHMxnBkBWSob4AdukxJMOQ5PdrHj4agZOOJHmwRNNy6kwxLYlgwa0mM8QZsTSb370NR57ejHPL1lZjcgnojbW1z3cy4vry3zwxDpmjolX+\\u002fBVtHtlDYwfD3VJyVmHpDluWpJn15S4+8UcSzeVKZQ1CVdE9QSmUKi3aMhNa3Z4\\u002fVy\\u002fvZ+RjHrMpROymkt\\u002fs7BvkLDybWWKb8wVHDAyxgWHpzlsYlwpJbTGsoUIe8p+8KmzL7\\u002fhD5WXvVlCDm+yoEPFjEcwr02Ky+b\\u002f9+1Xv\\u002fs53w9\\u002fIF1nxqhBkk+d6YTnHZbh\\u002fsV5a+lmj1Vby9WxvJUNUSFOOParF1v8b1HJADi26axS\\u002fZwqlW+vL0Dkf0a11MOaLY6ZmuTk6UmGtTqGc96vaq5S31wxL20LkhEp5uk1Rf7yRI6X1peJucZCqBRwSCkoFIscOHMyn\\u002fjAO1m1bhOWtKL0k4jSXYYd1r5tGaueXsCe7SvJxDTD6jWLhaQgTLOJ3n7FKp4Q+EAMzW5LgpKMag7Y8vIDrFvxOMMnHsWEWReQrBuI1hq7YvYLQdkLSCcTfO9rl3Pmez4XxQXM2oTKBB\\u002fX7PBou6GDUw9Kce4haUa0OtUuuZVIecX0DhT4JYUt4fgDEhwxKcHijSXueTHP82tL1d7plbJW29pnH+zvGek3nwRT6WnQf5+qKKgztNnhgFEux05JMmNULHQdIQIlpWULyn7wYKDU58+77MYX9YI5FnNfOeb4jcabLuhQOanm66gX3f13\\u002fs\\u002fFx3r4Hw9C\\u002fYlkwh02epDNRwc5dGRDtbXdl1s6zAie7Z0BRV9Xmx\\u002fs6g7edNNe7yvQr\\u002fZ52my4wU02JxyQ5LipSQY32Xi+olg2Pe0r3USr3VKFsRxcW5AtKp5fX+KO5\\u002fI8s6ZEEGpScUm+rGitM0UZHVnjGgghaLviQ2baCZBIxMjmC\\u002fi+T77oEXdtXn7qRtYvvg0VBlhWHMu1GDnQR1oFdiFRQF6a3SQ0ZCtFM0KY+e0WjGx1cWNJvFLAxmX3s3vzEiYffjHDJx1Db65YXZ\\u002fG+jRaa2YfeRBzzjmJP9x4O5n6DGEYMrTJYmd3WNWsNz2V44mVRY6ZkuTUmSmGt9o4likk6T9ZFqj25pNCMGtsnANHx1mz3eP+pQWeXlUkV1SvfD5\\u002f7xm9idCaqhtR8s01t2RMY9FJw1wG1FmMHGirIEBKy7a8QBEE4XJP6Suf3739j\\u002fPnPxwseAOIMK8V\\u002fxJBr6DaePLT83uB79567UW\\u002fLpT8d1tSnB8E+ti6pCOnjbSYMkJz0owkrmVO8NU7PP7yeNbQHQNd5VK\\u002fVahooYNHu3zizEaGNtnV4grXNjPYQFQDRRUija9g\\u002fS6Pl9aXeWZNieVbygSBySMLTFBr9rQkR01OctUdXTi2JJ\\u002fNc9pJR1bbNDU3NdDS1MDOPR3ki2VWrVpBJvc4a5cuIpbIYDtmJLXvh4we4BCzBTtCGaXUBCUhcLQmVxF0KciFMKDBbFo\\u002fCBCAG0tTLnTxwn3\\u002fgwh6Wbthu+kYoxQjhg6sUk0\\u002fe+mF3HTXIsOa80yn2\\u002fcdX89v7u9hc7tPJiHpzisWPp7lgSV5DhkX5+CxcaaNjNGSsaoHAlSsqr6esY4FM0bHOHBMjMdWxLnqrm7ae8MqM+6tghBGm9clJacflObkmUmSMUHZ09UCplAJSr6QnheULDu4TwXqL+27ty\\u002f4wPyHS2DatM19E6Lrr3rN\\u002f6oP6g+tEQvnzpGVzhjXXnupM1zlxwdaH6\\u002fRH5ZCzhBotncE4t7FlTZVirgjXuETvZWIuyaFM3qgzYTBLgMbbRpSpr8XwhR15D3Nru6ATbt9Vm332dkd0J1VCGk6ukpptHtzWnLhsXXMOSLDr+7v4Y+LeqlLSgqFMtdf8w3mnH2imZ2uNWe99wruefAJ4qkGPnPuQE6e6pH3nMiENEE0W0JvQXH5L3bjF0MKlmRiEPDL7h4aleK2eJwv1WVoQNFT1swYG6ftXS3VQ9TEIyRKhbiW5hs3lXl2VTdePsv1v\\u002fg2F513SjWld8GHv8zf7niIZDqFRHPlB1ppzlhce083i5YVQEDcMZmIYtlUoDVHAbVxQ1yGN5tBCrGoF3uoDFmmPWu6ua7cVmZHZ0iuFL49+BdQ7ZqjgclDXc45JM1BY+PEHaGVcQOfsiS\\u002fQPPIWZddv77yugUL5lhz5i5U\\u002f2pd9S\\u002fV6BUYU35hqDVi0bzjrBM+9gtfa1bc\\u002frP3amT4DSmFiFmET68pWn9Z1IudkNQl5F5tgd8OKJQ0vQWfTXt8HlpaRCtTR1yZYd03taWvgMKWglTcCLgXaLyy4qjJCd43u45xg116i4pn1xSxLUHJ8xk9aiinn2C0eagUjm0zefwo7nngccpewMqN7Zw0rRXokwCBEZZkTDK8xWbZphBsKCMoCkEzfaa7L0yrq8GNNnUJaUg+kYZVSmFJSVdBsWF7N2hFui7N1IhqGyozFvidZ53ATbc\\u002fiGMJuntDnllT4r2z67jivCYOmxDndw\\u002f2srXDJxWT1KUkYdgX9Hx6Tcm4OVGhky0rJca6Esmtxjgs+fY56CsVjkLAsrUleguKqSNjpGJCObZleX4wzHX0vad8+MbtWmuxaN5s6\\u002fj5D4evp1nEG4m3RNArMAL\\u002fcKA1goVz5KK83JAvBP8pLX4QIBPvPCoTDKy37V\\u002fd38PunoBkzNQV\\u002fysqjV4LpIRY\\u002f8CQENU6czA+vGOLvYNE0dd8SZFJSD54Qh3nHJYGDMts0x6fPVnDGsv3lDnluMOqk05klI449ohZXPP7v4HQLN4c0JX1SSckUZtz8xnaVMuNGejw0voSLuAJKGIIM\\u002fko+qO1YfaNanX2mrwCJraQdgWPryzTlRf4XplZM2YweqSZ521J0yfwyFnTGDFiCDt3t+M4Nqu2meEJSsPsaSkmD4\\u002fx2\\u002ft7eGBpHseS1fFe1aBnFMlT2rg3gqjnevRz3e+e3g6oZA7Knim3nX1Qmo+dVk9dQgaWbdtaqU6prc8OqSu3t7UdZyNEeLxJdLxleEsFvYKKhseopatvuebCNbaSv4jHnFEnzRRq\\u002fFCHPz3cK594uUS+ZJoDVDbkW5F374+9+Pr7MOhejfkXhKa750dOrmfSMJd82XDqG1OSrR0+nT0hdWkHKQTHHj4TqGhXAQimDrfIJAR5D7a2B6zZ6XPIuDh+2FfyayrnBKMGOKatEqZpZFEKrEBXNbpS0e8NdAjCvUuGpQBfaRZvKFLyTbXOmNaQTKov2KiUZsTQQUwaO5LNW7aTTLqs2e5R8jUJR9BbDGlIWVxxbiNTRrhc\\u002f0iW3rwhElWYh\\u002f3NtAqBrf\\u002f0n7cD+hNzvIhuO6LV5l1HZzhpeioELRzXsUvlYGmA\\u002f\\u002f5zLlvwQuW1bzz95fXjLW5q+0roBXOscz9+431K20cXS971XijlyNaY\\u002fMr5zeG33t2ij5yYIAjNoPpiVMteyU\\u002fvW9PcH\\u002f9Ki+\\u002fV9qgQJnc8a1yceRc2M21kDC8wtefJmEBI2NIeokVEkMmkGDZ4QN+7CoHvFelYdRszRtp4vsldPrS08Ao+fsV8H9xk+qQrpfGFob5a9Gl0pTXpuDHxg3DvQ8qxYWdXwDNrysQsSCTiTGrYxsYX74xy1hqtDeV2+JABEKXNciXF7u6AZFySdKXhowvB3KPq+MJ5TTSkzey6\\u002fRaqvDGP4DXj7+2Xyt6yIipvvmwajbbW23zwpHp+8P5WfdqB6VBY0gq1lIWi\\u002f6tcyTvxnI8ueOGhtuPeFkq0grfVxQCIuWaE89kf\\u002f8M24OKbr77otrLP11Nxd\\u002fLB4yWTRzhq7fZA378kL1ds9cTm3T6ep5FRyWuFNNH\\u002fCRrNamZ6v5WodNVZt9Pnit\\u002fuYWCDVR3j60cthzfu9k2NumWR7exh2cp1HHHwAYC5t+3rnia3ZxXHHNDIIyv3YEnB4o0lNu3xGdpkctWV\\u002fLQfaAY2mPns27oCQlvgRwtTFn1DJIY326RiUQ\\u002f2filp1xY8tapIR28YmfcWB4zKsGbxfQwcfwKJdBOWBaWyx\\u002fJVGxDSWFqBgv\\u002f6SycjBzg0pMzP\\u002fFCzszukO+rkUxkN\\u002fFZCKdOUwtpXQ0RWmlJ9vPrWBpvRAx2OmRLXh41LqpZ6KUItpRLCKpWCxWg975zLb7gZqJRsv6Wm+r542wk6mD7VOmpCKYS48W8\\u002fOvfushAfzyt9eSruDD1wbIzpo2J0ZMNwxeay2N0bsnRjWWzc45MvKxGqPj+5smGTMUFXPsQP3qJUQwQhTFfZjqwR6v57XUC1m6lSoG2Lux54kkvfcx5WNLNo8\\u002fL7KAWSGaNcRg1w2LTbZ0+P5omVRS46xqUc9FFO\\u002fVAzoN40qNzcHhDahuMugbI0mzsMNSMGOLi2qFI1tTZVYdmi5uFlRaRlzNXjpibJpON0de9m+5rHGHvgOWgNLy5bzbKVa4kn4ihtyDO7ewJ2dAWvuD8h3twWYq8VGmhISxzLZD0qqPjfMUfQlLH1ASNcRg2w9YhWhwmDXY3Asm3bMkM4wrUS8ZPuvPzN+77wp3xfq6f\\u002fff34G423paBDxW8XLFgwx3rH3IXdwHfu\\u002fuWca4sl3lsuy\\u002fMDpY5prnetE2a6oDVnzgqj0UrmBK7UfLfWWfQWFb99sIeHlxXfFo0uKgyvffd6JTgGpjAlnoiz6MkXWLF6A5PHj6J9+8tkOzajhUN9QnLMlATrdvrEbHhwSZHTD04Td0S\\u002f9zC56KFNNks2lgkwESEBlOgz74c12zi2qLb10hriMcEjK4qs2WGKTQY1So6YmMAPNJZlsXPj84ycdhq243LTnYvI9eSqI54hGkq4n\\u002furXNdbCSGMthYIPnBiA0dMjNFTUJR9TSomq5V3thQiFZfEXUv4obFUcgU\\u002fsKT\\u002fsLD4c6HJv2Hu3IU5qGpx9SbUo7wheNsKegVz5xrtvnDhHHna3IWdwP8smDPnKvdE68BsyT8uDPSpAiZbUjQ4FnEhhUYKJxEzbYJXbfP4yW1drNzuGSF4q28owj9qumHqyy26O3v43Z9v53v\\u002f+Ul2b1lKudSLG6\\u002fHDxTHTElyy9N5ip5iS7vP06tLnDYzSa4yc1wYH3zUAAdLQCAEnhAIDeXIbE+4kkEN1t4dXyV4ITy4pGAsC6E5ZFycoS0W+VKI7cTo2rmGoNxNdy7J9Tfdg5vauwvs26GpyKtBayLmYcAP\\u002ftbBeYenueT4+qhs2bgvWhnjJ1cKi9lC2AUss6S4W2keOffj179Uea8FC+ZYc+YsVG9HLd4fb3tBh355dxALF5gBEizkOeA54Mpbrz0rGZTSE6UjJ0v4TwkTEHDn8zl55c1dqFBTn7FMHv7tuvv2A600biLG9Tffz+UfmEOQ24GZ6m6slWHNNkdMjHHH83ksKXhoaYHZUxNVs1hgNvWoAYZM4wMqckdDIUAZ87Wlzq6OhlLaBAdXbfN4YX0Z1zFvdtL0FNXmMkLgl4uUujbys4Ur2b59F5m6THVq6v8FaG36yYeh5vp7e1i5zePL5zeRjEtlhlSolzR8VwTh2kwmser4D\\u002fy+1P\\u002f1UXMI9VblxV8v3nZR978HAbqi4RcsmGPptjaptRZnX3p78bxP3\\u002fiihLTjyImObUmtNGMHueGZs1J6xACHnpwJAinNXpH6tzOU1sRiLtu27ebbP\\u002fw5pexOpGWjI\\u002fabEHDctBRJV+LagqWbyizf4u3VQVYpGNhokYqb2d6VWxYAoaYhKRlQbw5BALRpY3X\\u002fkjwlz5izB46JM36wWw30KaVJJeM88MA9XPPHvxGLx9622ruC6jOPdnyoNL35EF\\u002fBgVMSHH9AUru2CJVCuLYl4zF7qi3s4tmfWrD4hA\\u002f8vqS1Flq3yQUL5lgaRCTgb\\u002ffbruL\\u002fhEbfF\\u002f3y7jB\\u002fPlojFsyZY6USzh\\u002fyZb9dan2FbdtHThnhMmmoq7d2BOHz64ry0RVF1mz3Rb6sCHyNFfX+rs5j21\\u002fBBH3\\u002f969+qlprfD8glU7wx789xJj4IA4Z51IoaWRU\\u002f10poliyqUyo4JHlBQ4cHTNvEHGyUzHJkCaHzh1+VdClABQ011nUpyxyUeusmCPY3hHw3NqSGViBZva0BDEXskWqDR9CLfn+H59g9548qYSD7\\u002fsmYPgvxqsx5US\\u002ff2ht0mNl31gciZiktd7myIlxPXNUXM8cE9MJV1ha2FbZD\\u002fC8YFEQiu9kpox7cMGcOdacBQuVEOJtltl\\u002fffg\\u002fKej7oir4CwmBm+bMmXPLJSe7F3i58FKEOHFEa8waOcDlpOkp3ZELgydeLsotHYHcuMtnw26ffNHoSCn6USxFn+mroqDWvzI9p5QikYgRd2N092ZRWFxzVzsj3zuA5oxVHZMcs+GE6UleXF\\u002fGdeCFdWZ+WV3SDG5UmHr3IU02y7Z65v6EqWBDwIgWx9gH0a3ZFizdVGJHp2nVPLTZZtbYOMWyrrISMwnJbx\\u002fs4elVRTIJmyBUDBzQTHtn979UFDRUm2n2LxWt\\u002fF9fWlXSUieZMCTOINObX00c5qpUTNqJmCW8UJAtegq8uyzEz8+87Po76H8nb3PL77Xg30LQ+6PSY37hQhYAC279+UVHdOf9dyvFO2KuGDpmcNIePTCG1krv6g709s5QB6FiZ3coVm3zRWc2FAVP4Uetny0paKmT5EqwbHPpTfXx+1e7WbZFPpvnQ5eew1\\u002fveIjtO3azrdPiJ3d08ZV3NmFL08TSD2Hm6DjDWmx2dYfs7g14dm2Jsw5J01tQSPrmyqHNA9eAHQl6JtGXhhAYzbdoeRHLMt1xj5mSoC4pyZXML9UlBXc+b9pc1aUceju7eOc7TiUIQ269YxGJdAowLaPeLNaiiNKCrfU2U4a7dOdVtS+fFGYUciYuGdFq6wmDHR1zLV2XlIxssUTMlTJUQlq2LXtzZYqev8mx5V8k4oazLrv++cpnvN4hhm93\\u002fNsJeuXhVB7UOR+74UngyfuunfO1cuCc0tNbPjHQ6gRLWuObMq4Y0mzSKUGgOO0gRRj2jeA17Z1M88Nf3ttDGA11eKP3b2WD+pF5GXckti3ximUcy2LeFR\\u002fmkk\\u002fMo64+xdOrS\\u002fzk9m4+d04jrtU3X276qBh3Pp9Ha81LG8qcPCNVZQsGyjC6hICY1kbLR3dR9Iw5qxW4Lmze47Nup0mppeJwyLiEGYWtIZMUPLS0yNV3dWNJSaFQYOz4UfzH5e\\u002fho1\\u002f8LjoqQClVxhzF+jjsbyQqB\\u002fDunpDpIwVfvqCZxrSsznYD44tblhSOJYRlmaBb0TPtvzT6ZUn4gNL6gXim\\u002fb5T33dfPnrfalXlv5OQw7+hoFcwd25flH758in65I\\u002fO7wEWAgsf+u0lDb0FPSJf9I\\u002fOFThWCDlaCNUKIqO1bhJSSLRhTf3mgRwLH+\\u002fFjsYCVU1C\\u002frl8cIU0UslXh8qkdDxPU5+WHDUpxcpt0ZSTVIIFtz3IqsduZMmKNVz5s+uob0rz4JICfqj5zFmNJGOm\\u002fPPgsTHuX1wALVixpUxnLqQxHZnvKhoegMbVxpxPKg2W+TmAQpNwLZZtLtObNwUp00bEGNpsE4SadEJw27N5rr2nGzB5fsdx+cNP2igUy7y4ZCXpTIqyFzJtVJwg0CzdWELIKA4i+rrs9B+J9brWTvR9FYAj4Y7nc6zY6vGpMxuYPNyl7BshV772NboHQS+adgFrtOAR11aP64S15Yz3XtdbeV\\u002fd1iYXrlghhFioqrGffzP82wo6mDgM0clcEfo5y6do8YH53UA3sAS4GuDen144pORwsaXlt5TWVsIVLHg8J296qlckXNNmuLdgtJ9tmxlqViSwfQTxV78QoFrZ5vnaNNCwDGNvcJPD7GlJPWOUy6HjE+I\\u002f\\u002frCH7Z0B6bjDxi3buePBp\\u002fje1y5n2UuPcc\\u002fTO6hPOzyyvEhXTnHZ6Q1MHuYydXiMuoSkt6joyIZs6whoqYuhlMYLNbmyJgEklNHoDdo0U8sVVTSEwfRiX7\\u002fTx48sl\\u002fFDXIY02mzrDPjdA73c\\u002fHQ2ilMIfK\\u002fET756IUfOOoAPfvZb6NAU3YSB5vzDMxw6PsZDS\\u002fP6yVVllm4qiXxJUSjpKOAn+7Ief2\\u002ft9qExK2WsEz8wp5WwBKmYZGdXwLX3dvOVdzbrAXW2CkKNJUVJw5ccLW879fI\\u002f7d73rRcsmGMBzJ27UIk3YBLK2x3\\u002f1oLeH3sJvUbMm9cmpk5dIVpbp4hFi1BZa10QU+G5yZTjhqFCa83pB6c5\\u002feCU2rDTD5duLsuObCiyJS23dwR05kKyRUXZ01WyiXiVEHDl\\u002f+1oY44d5DCs2aGlztJHToqroS2OrktYttLQG3WZefzlopl35vv8+rpbOPOko\\u002fjmRw8jKNzOgyvMZJkVW8p89U97uPi4Ok6ZmWbiUJcnVpr53ut2eswcEwNhGiS050PqhKZOKwIhGKAUSOjIKRMTkNBbVGzpMD3QY45g6giX59aWuObubpZtLpNJSMq+xnUEV5zbxCXnH8P6zXu45Z5HSGSS5EohIwa6TBzioELNmbPqxOxpIT2FMHhhXUm8vNWTXTkl1u\\u002fy6MwqClHN+autXX8Sj2sLUnFJY9pmUMTfzySkGjvI0QeMdJVtCdt1LGHZ0rIdgSVlJlcon122kje0tbXJ2bMXydmzZ6t588DQVP89Nfer4f8bQe+PSg+7\\u002fj+7887TesSm+vfksuUp0tZnaiWPizlimOtY9UdOTcgjpyi0UlHb50D1FhWFstZeoFBK05FTdOVCimUtKuWeQkB90qKlztKZhGlpnXCkGNBg0VpnCymF0MKytIbubDmvoRCzZev0kTGGt9js6ApJZdLc89CTPPPSWkaPnsYnTn+YwQMs\\u002fvxoF7Y0\\u002fvBVd3bx1CrD56h0aNnWGUSmrunP1p5TTBGaRmUoX0ODEFzIlhS9hZC4I+j1dHXYgWMJ7no+z9JNZYplTV3SoregGNps86kzGzhobIJ4ywSu\\u002fs4f6Wzvor6xnqIXMGtsnAH1kp6ipiPr77KEaBzSnHCHNsc559CQXDHU27sCnc0rvFDrIITOXEh3XolyoCl5iphtmlCkkxataUvbtrmvpGuRTgrRnLZIx6UUUkohJAhpFUo+vq+6yuVwM\\u002fCAUuGdoWD1cJ73z5n\\u002fvDIjvh8GeDPapr\\u002ft8f+loO8PZ5xxdxnYGP25E+DWay+apArB4fmCfwCIiRomSSnGttQ7clCTwLIEVmT2hsrw7LXeuwuOFKZ7qZSV4QJmqmiupAjCcLsl1QvAU0LJu6StsuVAvdDaYKdOOTAlfnl3N\\u002fG0TT7nMf\\u002fKn3PjDy8jlmzkktkBo1slv7m\\u002fh+1dPsmY5KUNJYQwjSfzZU1XLqzOI1vSGRL4mgFaU6c0HoLhoSIuYU9vSGc2ZPKwGNs7A3oKZm6aH2qeWVMy7Z0sQa4UcvTkBJee2kRLskTryINYsnI7v\\u002fnT34ink\\u002fiBoiEpOWNWUplWicHGIJDHWk4wuivrnQ7qcKXEzHhMNo4eGBe2Zd4XTd\\u002fa0ee7SwGiOtpYRPEMTRAYV6QzF6JVuFZY4mUpWCmUWhJq+6lzP3Hd2n\\u002flvvm\\u002fgpqg90NbW5ucOnWFWL58ip4\\u002ff74656M3rARWVv7\\u002f9qvf3VgSukWXwola67Fa69EIMVRo3SqRaS10DHARwqyrJhRoX2tRROiCQOxQsNYSap1ALnbi\\u002fuYzPrRwT\\u002f9ruO2ad98I1odPmJYM73o+b+3qDslkUtzzwGPceO+xHD1mGiuXPsHxB2SYONTlhkd7eXhZgSCEmNtHYV26yeOK3+7m4LFxVm7xEMDBno8CAgFNSjFDhTxTENz0ZBbbzvPCuhJK9QW9bMtMPh3WYvPOIxo49cAkQkjyBWgccgCf\\u002ftF1dHV20dBUT3fW54yjMwxvtlFaCiG47oJPX7cV2Ao8eu21BzsjrEktpbIaX\\u002fb0DI0aI2GcFqIZrZMgkggsobWIiud8bc6kskbnhJbtQrIFr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Q6YQ8QtTsx0NVLSa5maFhOwb4c3cTlG7tJkxzk91AFw0h7oGPOPyjBD26RZ0CbhziXe46LcfF63Xx8fqRVG7aM\\u002fWEVrdQ2Y6ClAaKCpHvjbZ5qaluXArg+eLGWSUm+5GCIAdFM8H2l+f7FBxaRpK62A+t6axbSEhE0EAUqOpoFhgJcWL400AH1J8ReLN+NPOdAu6+gpIBf\\u002fSakT1yxLNoqAcDCG10hogMs3tCwnZK8qbjCyBwOuyQp6XbEfAqXG+EUS2TbecTWsDDEB\\u002fzzBeAhz36tQs0WxGpaM1ArQhJISCHjLzMQDTEhItEGXtcly0wVloJSnhvHumbLVN60gjgLzrXmgJab0s3uKAt6gRgOndm\\u002fg0Ni8kZJ9oX9AN3+OjohVtZlS+KN6kgVd3EJvNDNhqm66LC8CdR6YeeO2SSIpjY\\u002fWyoFwMIdAgDM9PLua\\u002ff8a5FIb80yMAKhAFEqbwVHeJoKyVPCfRqgS0b6f4WmZAEpXpFHTRRe5FwLyz4606IQypauQ54qnusT18PiRkppAEIklhKEBIAWWtODKSFvOshAbe6Vvfp3W\\u002feDoFXVdw3yoR+mWJZmVrVXV3FUBKmODdxJCQmUxGIqiTlgomKhdFWlrirHiLAE5oJLKMad5qm44LC8DtIN0EvOTYaEbMMxNjHWRE2jDBiwiCUHUPmbk0G0KQNAzheccIL+xSCHFqrNE1EKlBKq\\u002fx3\\u002ftPJegSIGsUTgbmnxZvVBkjEljbA0cZ0t6M3uh\\u002fJhT0kJlKqwTqhFXtuxJBQbkcG6ujw4zhwKu\\u002fwlkmnlFuWtbq0zLCCKDguqdZQoqTYw3K1kqI0V9f1MlwRg+Z0Wi\\u002fyy6IC5OkNFF6xOrmoGgxYsZx0Xot4MwfsnIuI5tKU850CHrgKfTyViPK8mhGlmrW5+AFpreZMYBZf+Ul5jS0MSRkohzWakYwEUKPmY9crXlZokVriA5TPoNptLxPtaALgHpic4ETjovWkxaGcP0bNGJ1F8IX9LmfZm2k9rMhITMEpbxJfXGzEcX0toWBEfXTQXNMNKPrDUsreKX4J5rRBUCRyllA\\u002fLR4g\\u002fbmb01MSGLCQKFxtaJOWFiI9KN0tYQSHjLDEACNxOcCzS1GFEMI4e2had\\u002fhS1LSLq1GlBOi9QI48eW0JZmmdfpUC7oUQAl1iiUEi62UAogKyTcG1nJ7sZt6GcFGibQ0aTKiFl5qHghn9JCZgwQoYx8FZOaYcUwhUWjS0kIDwzjEhUFUGPKkWKMGFq6g79jaz095g6cIAbh+RM+yhVaKDjNOREh+MbSZawe38P92reLGfBdxYdJsRFS7GRPAcj+If9oDA0JCfASAgz4OMDrMmFMnTGEhub\\u002fUz\\u002f+363Eu3v4g95b7iUlDnBKrd6NCxko4R4maz79QkQDzScwCNp+TaNWdh7\\u002fWvbTlKA3oD33gg\\u002frkU07RgP5S63LdfdjrnPNT7Rr4me8OGxrlQmYK4i2ej\\u002fuNJkJf036KfePsF+lXpGYFGWB1rC6tAf3++oX6sQUvtxdbKQ1c8c8g6AZAHPNkwP1M41L3hjmna0Bf9K53aa217u3p0We\\u002f7GUa0F9rPcr5atORWsCdX\\u002fEGiWn3Fw4JwZ+wktAG9KUNS5+ZalURL0pNH3HEEfr\\u002frr9er1uzVr\\u002fzne\\u002fUgD4t1uiekGjUwANf+SfQTINsMf8SFVL\\u002fv+YjnAzo17zhfO1UKtp1Xa211oPZrH7DBW\\u002fUgHpRskVbQvYCC8acIyRkujDwJpy34M3eLqDrGxv0N7\\u002fxDT00NKRrueKnP9VWKqEALYToB9L+eV6wk1Ywkl0eM00NOGedc7YuFYtaaa1d160Ku1JK\\u002f9tHP6oBRxpSG4ZxATO8WmXIPw0SQAhxoxBC19fXOx\\u002f\\u002f2Mf05k2bq8LtOM6o\\u002fvzQypXq5JNP1oCTSCSmzSA3VXgWNSnvAPSxxx\\u002fn9vX2au0LeYDruloppbXW+lOf\\u002fKQLaMMwfuuf4wV7c0IOCQxARCKRZVLKrGEY+vbbb1e1Ah703YByuay11vrRRx\\u002fVQghtGMYbfDfQF+ykJa6\\u002f\\u002fnoD2LBo0SK9fv16d6yQ1wq7\\u002f7x6\\u002fetfr4Fse3v7PGZIWp6Qf1okgGVZ3wH0xz72MUdrrSs1S8899eUtW7a47e3tGvg3KSW8QAVdABx22GFzgd6vf\\u002f3rWmutbNse9+bUjo5r1qxxGhsbtWEYX\\u002fVvUGh9D5kOJCAaGhrmAn1Lly5V2WxW1Wqg4xG8NjQ05BxzzDEa+JZhGDDF\\u002fXiqZkcBMDw8PBtIdnR07PMDhmGglGLJkiXyxS9+sXZd98OzZ8\\u002fuABzCWT1kavHqAAqhh4eHvxyJRBp\\u002f9rOfqUwm41VpEPu2q6XTaZ3JZACaas45ZUypoGez2dlArLW1dWIfEgKttfjQhz6khBCtXV1dX\\u002fVfCgU9ZCoxACeZTL7RcZz3fuITn1Bnn3224bouvpa5V7SXHpZUKgVQ7w8ML8gKJab\\u002f5T4YiUT0ypUr3UA93xfBWv2Nb3yjA9jxePz1wTmn7+uE\\u002fBPhxUs3NBwF9J111lm6WCzuU2Ufpw\\u002fb559\\u002fvgZuMk0TpniymuqZ0YxGo8Tj8f2NLxff+c53ZEtLi1ksFn+RTqeX4qnwobCHHEwswGlra1s4MDBw7YIFCxqvuuoqFYvFJqyyw8iMPo6NacrU96kWdMMwDHxjxIRulJQS13U5\\u002fPDDxRVXXKGAWYVC4YZYLDaPUNhDDg6Gf9iZTObEXbt23dHa2nrUddddp+bNmycnqrKDJ+RBP3ecakbzFyyWf2M+0dTUpNesWWPXqDT7RClVVfO\\u002f+93vOoCWUj4ViUSW+uc3eQF7GoVMGRJ\\u002f4hBCkEgk3gP0zJs3Tz\\u002fxxBPORJebY\\u002fuuj33OOedo4PfTobpPFaYv6B\\u002fxBd3ZH0EPCG7y17\\u002f+dRfPpXBHIpF4Xe11OPRvoKg5pH8YNYc55gielzWHGHNM9HrjXbv2+mOvPV47xmvP2DbNFAJvy+qethCCTCZzHHA9oM8++2y9bt26CduU9iTopVLJPvHEEzVw9XRsr00VgTHuonQ6rR9\\u002f\\u002fHF1oDcuGByuvPJKJxaLacCJRqM\\u002fTKVSLTXXCzradHSqfQnNWMGtFaLAj3qP0rf7icWUHRNt0wSkORCw8QaIfQ0YexrMJna7Rt9\\u002frzH+7k46nT4N+C+gkEql9KWXXuqWy+UD7qu1\\u002fbWrq8uZP3++Bn7gT3pTWkB0qkaVYF2SLxaLDA8PCw4wrY4QAqUUH\\u002fjAB4ylS5eqf\\u002f3Xf5WrV6\\u002f+WLlcviAWi\\u002f1QSnlNoVDYWfOR4McNkugfyBpJTOCx9vx6zAe98nu1efFq\\u002fgj+1tp7Ywc6vt3LaZ8CEnilqWI1j8GR1Ogk3nvjeFVDjAk8VgDbb0YZz9YhgGLN9wieL\\u002flHueax7J+jUnOu4DH4uxKBUpJY2cIot2OWz56TLl\\u002f2vveVrf\\u002f4D6X1SJXR2h9EMzbz2qTi\\u002fQ5CIITAdV0zk8kcNzQ09CIhxAXAmZlMRr75zW\\u002fmM5\\u002f5jFqyZIkEUEpV7UoHSk9Pj+jq6kJKuUN7xrkpXatP1YxnAG4qlTorl8vd+cc\\u002f\\u002ftF6wxveoB3HEf56Zb9xXRfDMMhms\\u002fqKK65Q3\\u002f\\u002f+942+vj6ALYZh\\u002fCWRSFzd0tLy9KZNmwb9G1vLRFTIsSnARp\\u002fAN7AEj0qp6gnfDMYDENnuCVZwxIFmPIeJxprHev9owItsqgq1gJgpZMxARE0hIgbCMoTAQGAKgYkkIQ1iwiAhJSaSiJCYQhAREguJJQSW\\u002f1xUePNyUXsyZiuNi0JBNa9+Wbu4WlPRmjIuZaUoo6gol7LWuHiH0tpP+6VR4D2vteuiHUcrR48v\\u002fGP\\u002fLgOFMUcOyAODUsocMCyEGBJC5IQQQ4lEIieldEzTrCQSiVImk7FPO+20yi9+8QvHMIxRv9WXvvQl8+677zZ37txpZbPZeDabTTqOs8h13aOAE4FjgMOTyWRy0aJFvOMd7+BNb3qTu3jxYgkIpVR1UDhQgn568803c\\u002f755+t4PH5BsVi8EV8mDvjE+8lUCboE1OLFixetW7fu4Z\\u002f+9KeNH\\u002fnIR56XoIMnXIH1c\\u002fPmzfpXv\\u002fqVuvrqq43NmzcHb3kOWBGPx1dFo9Gnksnkhq6uru3jCH6V2h9VCMHPfvYz68orr8wMDAwkHMdJ5XK5VD6fT5XL5RSQwRPSTM3f9bXPx4VRHxdGQ1xKKyFNEiIQTIOEMIlLSUIYxP3X4tIgLgwSwiAqpJeOSBrEhCQqDRLCUDEhdVKYKiIkftK9GnStssCYn7iqPIz93uPPo2K3qcfRSttaUUaJilaiHBxKiTIuZa0oKf9RKyrapaQVZR285v3tPRf87f3b0Youp0y3W9rXdGcDw0Cf\\u002fziEN0hoPK0DvEq8gUaUAFrxYshpbGzk8MMP5+ijj+boo4\\u002fmpS99qXPssccGmh+TIeABQR\\u002f93Oc+x7e\\u002f\\u002fW27tbV1WXd390b\\u002fWlPmNDNVgi4Aff3110cuvPDC9f\\u002f2b\\u002f829\\u002fLLL1dKKTnRbYo9obUepVoNDAyou+++W19\\u002f\\u002ffXy8ccfFxs3bsS2bfA6xyBep+gGdgJZPHU1UGMNvBk1w8ism8GbkU38WtiAJYQwk8kkiUSCeCxG565dHKPjfLjxMASCtDSJC4kpJKY3A2vTm2F1MBubQnj\\u002fRmAI6X0XQKGFtwbQKO39O0g86Kv3Qk1Axd0fJVhMsCuMLHj9NbsAgdC1NgP\\u002fOSRoWfNeKQRKa+3P\\u002ftQ+OlpjCsHTdk68q\\u002fNBPvyRj\\u002fCB97+fcrmM67qiXC6jtaZUKlEoFEShUAj+plKpoJSiVPJk3LZtlFLEYjGi0SjpdJrGxkZaWlqYN2+erq+v1\\u002fX19ToajUKNLUcpT+6eb5+sRXvba\\u002fr0008XK1euXPvBD37wqCuvvDLob1Omvk+lsUpKKZVS6u4zzjjjrBUrVigm0UI+VuABhoaG1NNPP63WrFkjnn32WWPjxo10dnbS29tLuVwe9XkhRLVjxGIxUqkUmUymetTX19Pc3Ex9fT3pdJq6ujpSqZRubGxU5VJJHXf6aVxqzhVvb5gvhl0Hgs7jTYtCjwhpdR066m8dtKOmTbXtG\\u002fNTTbfpemwP1WOe1WNerCby9v9XO1gEz0sESMF5m\\u002f7Okeedy203\\u002f2lfTdjr8qr2koyzXFNKVWfcyRTu2vNLKdm4caNz3HHHmcPDw1cKIS7RWk+pkMMUm\\u002fh9lfn+J5988iV9fX26qalplEPB80EIgWEYaK2rR11dnTz99NPl6aefDjWdwrbt6kg79hz+jz62QXtqoACMP950kyGGhjlhXjP9jk0FVe3Ie21z7XumW3L3k\\u002fFv0B6+xD6+WyCxDoo6EeHl8Tauuf9e+nt6qW9qHLeP+MIy4bs2dkkGHDQBDwgE\\u002fc9\\u002f\\u002frMYHh4mFovd7WsdBp6hc8qY0iywWmsMw1g5NDQkVqxYAYyoS5N2EV9YA6F3XRfHcVBKVbVLy7JkJBKRlmUZtYdpmoaUctSWjtZaKqWE67rCcZzq4bqu8JcE\\u002fOqa33IiCTqsBA4aY4LbUSEetfdDaDi5rpXywCD3r1xZFcRAKIMj8LCc6FH72claf+8Nv6\\u002fjuq664YYbDKCztbX1bv\\u002flKQ9omXLnktmzZ68G+m655RaDg6y+BLO8aZqjRu7aWX+8Y+w5go5lmmb1kFJiWRb9fX08tvIhzkjOIoZE7cXQF7J3JIKicjg60Uhcaf5+\\u002f70Au\\u002f0mhwKBQe+BBx7Q9913H0KI27du3dqFN5u\\u002foAVdAXLLli2bgfvvvPNOPTAw4AZx51NJMKLv6ZgIruvtjPxtxQoGtm3n5U1zyLk28iDPFC9kBFBB0W5EOUrEue\\u002fBlbi2g2mah6Swa6353ve+J7XWbjqdviJ4ejraMpWCrvGD903TvGXz5s3ijjvukHBojtiBhnDL7bexSFvMiySxtQpV8ueJABzX5fR0O6sff4K+\\u002fj7g0Oojwd75vffe6952221CSvmXV73qVY\\u002fhfb1piUOfatXdBejo6LhOCLHrJz\\u002f5iVBK6YO9XppstNZIKXEqFf506194dWo2uBPZ8AqZCK7WnJxqppAdZO3atdPdnP3G97rTX\\u002fjCF0S5XHai0eg3brjhhmmrjQ5TL+gakNu2bRsArrrvvvvEHXfcoYJQ1EOFYHZ5\\u002fMknyW7t4qRUc00l2JDng0DgophrJUgJWLHyAeDQmdEdx0FKyc9+9jO1YsUKaRjGlcVi8SGm2EFmLNMS6aW1Fi0tLT\\u002fXWme\\u002f9rWvCdu2lf\\u002f8dDRnvwlsCrf+9U5ma1gYS1NWap\\u002fbaSETw9GaOsNivjZZ8cD9092cCeO6LqZpsmrVKvXlL3\\u002fZMAxjY1tb25eZAZss0yHoChDd3d0bDcP46cqVK+WvfvUrPR1GuQMlWJ\\u002ff88ADLBRRZlnxcH0+SQi8uuJ1wmSxmWH1c89SKZWr26UzlcBZK5vN6ve85z1ks1nHNM33d3Z29jGNa\\u002fOA6Yrd1oCYM2fO94QQaz7\\u002f+c8ba9euVYeCsAdOED3d3axd9SQvTnVgKzXW4TzkeSI0LE000Nu5k40bNwCT73MxWQR9olKp6Isuukg98cQTMhKJfLZcLv+dadpOG8t0CrrcsmVLNhKJ\\u002fGs2m3UvueQSXS6XtR8bPE3N2jdB255+9lm2bd7C6fWzKLnOIaO2u4eAyVAAFe2yKJmhNDjERj9IaSb2iyCtVKVS4b3vfa\\u002f685\\u002f\\u002fbFiWdVmlUrmMKY5Q2xvTmY3FBYxyuXxXJBL5yt1332186lOfcn2L5Yz8UWHEffK+lQ\\u002fQgqDdiuMcQmp7RlqYiBkt7AJBRSsWRr16hM+tX+c9P8PUJsdxMAyDYrGo3\\u002f3udztXX321YVnWFbZtf5ppNr6NZbrTLinAOP\\u002f8879lmuZVP\\u002f3pT82vf\\u002f3rThC6OhOFPehsKx58gONlnecNN6PFxsNbJGquH95Or6pgzjChqUXgGeRmGREywJNPPQVMblTZ8yEIoDJNkw0bNqhXvOIV4rrrrjMty\\u002fqebdsfCd7GDEoEOd13TgPqhhtuUEuWLPmAaZp\\u002f\\u002fNKXvmR+4QtfcIUQOpjdZxJBmx5dtYqj4g3EhJw5w\\u002fYeUGgsIdnllPlW\\u002f3M8WxkmOsMHKA0YWrBQxFn91FNo36V0Wtvkx04EbtE33nij+5KXvETed9995Ugk8jHbtv8fIzI1o27udAs6+Ia5Z555xnYc5yIhxP\\u002f+53\\u002f+p\\u002fGOd7xDDwwMKMMwcBxnRszugTFozZrnKPf0c1i8DlfpSVXbNQdnKvDWvQqJwNaTMzTVtlWhJ3Xg0GjQmoXRDM+ueZZSseg9Pw39oFbADcNgx44d6r3vfa964xvfaHR2dj6dTCZfXalUfsSIdX36O+sYZoKgg7\\u002flhpdC6CLLsr5x7bXXijPPPFPee++9jmmaCCGCvNjTRtDJHl21CiNXYEG8jvIk21okYArhL\\u002fC8hAyOn5wh8L070F4UBEHvrzmuVpCDJBEKb4Az8VJUJYRJUpgYkzjsSQTzo0mK2SG2bds2aeedKFprHMepCnihUFCXX365e\\u002fLJJ8vf\\u002fOY3Ughxxbx5887M5\\u002fOBdX3GMlMEHXxh11pL27a\\u002fGIvF3v700093vuIVrzA\\u002f85nPqOHhYTdYu0+Xsa7WIy6qXeZHU5SVN0tOBgKwtWbItdFASpi0mFFajAgZaZEQJpY\\u002fCIw3m9Ye7jjPBUkubK1xxe6vj7xvtFZhIogJg5Q0aZARWs0oddJCIhjWDjvsIg+V+rmr0M2Qtif1fsyNJkFp1q3zDHIHe4stWH8H0WemaZLP59W1117rnnbaafLjH\\u002f+40dXV9UQikThPa\\u002f2RrVu3DjBiXZ9xM3nATMstHfQvo1QqXVdfX78ym81+67vf\\u002fe7b\\u002fvznP\\u002fPlL39Zve1tb8MwDAkjVs+pWLtprQkGmmeee5YFxIgLgwKVSZnFNGAIwWX9a\\u002fhboYd2M0arEaXNjDHLjDLLiNFmxmgxotRLi5Q0RyWuGEnrRPXZYPZWWhMTXi46tCaCoN4XVImozvDB2Fk761e0YkDZDKgKu5wSnU6JLv\\u002fodIt0OSV2Ol4Kp5iQ\\u002fHrWSRwdjVDSz28ADCSm2YwBsM63vB+sAT5QzwPtEaCvr09dc801+te\\u002f\\u002frXxxBNPAKyPRqM\\u002fmjVr1i+3bNlSYiS78MwyJI3DTBP0ABcwstnsFiHE22Ox2LXPPvvsZ9\\u002f+9re\\u002f6PLLL+eTn\\u002fykPvfcc1U6na7m+wp8jA+2ZbaQz7N54yZOizTiqsnfVjs32Y4pJJvtPOvsHA+VBihqd9S6Okge2WxGaTGiNBsRmvwjJU3S\\u002fkBgITCF1xeT0mS7XUAB6+wc9xb76HXKFLRLQbkUtENOuQwpm163Qq9bptspk1X2btePCYNGI8JsM8bZiRYWWykWR1LMMmI0GJGqLeD5IPCCW+pML\\u002f35c+smV9CDmRuoThb+QO6uXr2aq666yrj66qtlV1cXwHOmaV7Z0dHx31u3bh3YsmULzKA98okwc\\u002fdYPKpZS30BvlAp9Wng5GOOOYZ3vOMdvOtd73Jnz55dTdwS\\u002fIBj0zE\\u002f31k\\u002f8H7q6uxkwdLFfCWygAsyc8mpyVNVAaJCYgmJgaCCot+t0OuU6Xa9Y5dbZpdTotstV4WxT1VwJ3GmE0CzGaXdiDHLjNFuxmg3PG2i1dcuWs0YSWHslvJ5Mg19USHp1BXO2\\u002fIPXvqa13D7X\\u002f6y3xlag4Fh7GNNbkEN6A0bNujrrrtO\\u002fvWvfxUrVqzA9tIH3ROLxf57\\u002fvz5N61Zs2bYf7\\u002fJDFfTx2OmC3pA1fng+uuvNy6++OI3FIvFi4BzU6lU9JWvfCXnn38+J510knPkkUcKxlRpCdQyYLcEExPtMIGgP\\u002frII5x08sn8bvapHG1lKGhnUgW9NmGkV1LEy80eZJOtGujQOFrhoqloxZCyGXYdhrXDsPKOnHKwtaKiFQ6aYeVwc66TpZE0p8QakQKSwiApLOoNi3rpPTbICFHpXc\\u002fyBx7TV\\u002fFtrbFRVQPh2ASWk3UnNJ5tICcUb918N40nHstD99xHLBEflea7+v6a7EBKqWoo8R4KL6j+\\u002fn716KOPyocffljecccdrFy5MkgY+ihwZ0NDwzXZbHZ1jQYRuLIeUgIecKgIOgSJQn11SUpJPB4\\u002fJp\\u002fPvx54E7Ask8nEjj76aF70ohdx1lln6WOOOUY3NjbqRCIRfL42I2iV8dTB4LlgIAiSCVz129\\u002fy\\u002fosv5pZ5L2GWjFI5yF5xtYLvbUSOSbeMZ5yTQlQzqYqafwdr9ogQ9LgVzt9xH\\u002f+SWcDH6g+nT1X8NTrVggzK\\u002f7uaXrr2+uyevfVgfm8BCCn5ly33s7U9zeoHHqJ99uyqoE9gsNaAzuVyuqenRzz99NM88sgj8pFHHuHZZ59l48aN4KX\\u002f3gDcHIvF7jjzzDNX3XXXXfkXioAHzNQ1+njUGj0MpZTO5\\u002fNPCiGelFJ+PZPJnNbf33\\u002f2vffee+q99977ou985zvN0WhULFu2jKVLl7Jo0SLmzp3L3LlzdUdHh93a2ioaGhpIpVLC7yij8jaO7TyBIe6p556lHohL86A4nATnHBHkvWeK1WgvnWigmgZtqkmxrAFLCPrdStWq3+faZLWNMUZoa417weNExXpUSufnicBbCmSEQXMswaruHkrF0rh2GK0UvX199PnHtm3b9NatW9m+fbvYsmWLWL9+Pc8991ywJneB1cDDUsqHW1tb7+vu7n4myBl\\u002f5513gicXyj8OmXX43jiUBL2WIFuH9NVy1d\\u002ffv1IIsVJKSWNj46yBgYEl5XL5lFWrVp2yatWqhUCLfyTi8bgVj8eJxWJEIhESiQSpVArDMIjFYhiGQTwe95xMymVcx6VULoHSPLV2DQsjGaKagyLoSeH9JI6\\u002f9tX+LDt2VvUeRwtl7XO1eGqwrO7Na7y9ekOL\\u002fdoxGBk49Kh\\u002fS1+rCNxqXT05gTNae9UyMmYECi6f\\u002ffy\\u002f09TSQl9fH+VSiXwux0B\\u002fP9nsIOVSiXK5RKlYolAuBV+qH9gF7ABWW5b1YDwef\\u002fT444\\u002ffuWLFipzWmp07d8LoQV4xxamYp4JDVdBhdwcyqbWWrus6PT09O4GdQoh7AnfF5cuXz960adPsoaGh1mKx2FosFpvwyialgTqgHVgAzMWr1rJHTkq0ERcG5UlW2zVwZ6EbjWZxJEWTjGAJ6ddR89bpmhEHmmq1k6oWsCd89RxPLbf1iKCO3MQ9i2bwioE3MBh+LTfLd6Mt+3aAHreMozXNRrS67\\u002fR8kMLb819spmgxotz6+99T2PtHAo2\\u002fH9O8sSGe\\u002fr9XH7t85fX3PzCgtMK1HYbtIe75xz\\u002fwxxBPcRiZvV+wHEpr9IlSOzoHOdrLgBYIpPBnPQFf+NKX5Ne++bXFuCxGswzN8WhOAhZLKUWTEaHRiNDgb1fVSYsokjNiTbwk0UxZu5OyWvUMbwJHK97Y+QA7HM\\u002fdMy1N5ltJZpsxZptx5phxWowojb4DTVqa1EmThDSr5wkqwgT\\u002fxtcIIkLS6ZR4w477eWt6Dl9sOoJ+VcEctfM+RmUfs+7Pa4dB1ybrb8F1OUW2O0XWVnKsqQyz3SnSbsb5n1kn0WrGsLU7KYZKje++KyUumpJ2GXQdBtwKA6pC1rXpccvsdEr0uWX63YrT75ZzO52yDWwFHsczsj0DPAv0BJpMTaa\\u002foGT1C1LoX0iCHljaNaCFL9gBcXRrHhYCx\\u002frHkQLRkZZmW1qamblWnEVWioVmgg4zToNhkZYWddL06qhJg4iQoKGkXYoHwQgnEWx1CjxaGmBNJcezlUG2OkWGXGe3ZUJMGNRJkzrDIiMsWs0IzUaUZn8gqBPefnraMIkKSUwY9LhlPrjrMV6fbOfjDYvpccsIoIxXGLGgHIaVS057Fvth1\\u002fEcZdwSO90yWbfCsHKqbrAVrYgLg9lmnMWRFIdbKU6ON7A8UjfJd4bqgBE4Bo3UbfcMj8FgVNAuw8pmSDn0uxV2OiU2Onk2VfKsreTsfre8ZUDZmzQ8DNwHrJ4PPdsQQXFGXHTgezRjfdf3l0Nd0INZWwNurUXYRc8CTgaO94+TU9KcfZiVZJGVZKGVZKGVYr4VZ7YZUwlhBv72Uggh1Bj1WOEVPARPpZzMLbVagrLHyjez57VLp12iyy2y0ynR7Xoeartcr+pot1tm0LX36xrS36abCClp0mREaJZR2gIPPStKhxFnrplgjhUjLsyqVGiolmU+GOhRf49edGjteRd6ywuBidCGEFprrTXoslZmp1tifSXHBjvPhkqOpytDpU12PpjxnwDuFbAmuEf+uQ\\u002fJvfNaDkVBDzZG3UCt9LeC2oEjgJcB50SFPKzdjLXOMxMcE81wXKyeeWZCp6WpG6Slo0L6pX+1sLUSewr2GM\\u002fgdTCpFcBg68wU\\u002fl46EkMIKsorM1yqKUlc0K6nVrs2g9p7zCmHYk1Z4qxr82Cpn2YjwiIrSSwIRpFe2eYGafkedp63XVKa1dLNcb+kc0RIXH8f39YKW6uqnhvcv4M1CE6U8X5L\\u002f3fUESF0VEhtIUVeu2LAtUWXW+SJUpZHylnWV4azm+zCWuA64C7gyeD7+L9NrUX+kOFQEfRgD10LUF5K4DcbghuWAOcBp0vEMc1GdNGJsXpOiNazJJJmoZWkw4w5Lko4GumihddJFUpTXa8fyE0Y3Zlq96yfP4FFaey1NN6sFWgU0rc5jNR5q2mHGBmkNJq4MNhiF3jNjvv4QGYBn288gj5Vrg6UwfuCiq\\u002fB2j7QZKpBL3rEp37svasVrQO9F7X3dez5JmP\\u002ffsT\\u002fn+qsbwmhLaRCIDudkny6MsQTpUHuK\\u002fbaayvD9zjo24DfC9gkEMFvYVRPdwjM9DNd0IN1t2uMzNwnA+cC58WFcexR0brISbEGTo01siSSUmlp6pgwhK21KGuFjaruiE\\u002fG7Bz8ojEhqR3pgxnOa\\u002fSBXyHwiKt1XKkVLBhRkXdv1\\u002fj9zfUFfaOd582dK3lP3Xw+07iUfjUSkDNei\\u002fdUqnmsMAaDT6AyC\\u002fY\\u002f5t0Le\\u002fVCXg1E1eGn9nVXa0r+eSdzUK39LhZSJ6WhFVrnlGusreS4q7CLx0rZ4hPl7N3AH4F7JeLZoF2MRIHO2Fl+pm6vSe9\\u002fQgEodIeLfjNwYYNhnXB8tD7+0kQryyN1LLQSqkFGVEE7sqK1LGtNUdtVwZjM+GiFJiokWgvWVnJscwoYCNr8SLNmI4oUkFdeCsYDEfiIkNi+kStmyGqiiMDtNbAZBIxVUcdqAxAsAbx1f6B2jxizxB7PMVZjCZ43\\u002fWWE6W\\u002f7SSEoKZe8dhlybVytyRjWhL59sFRJSRNba7Y6BVaXB3mqPESfW6GsXeqNCAvNBKfGGzkiUoddEw\\u002f\\u002ffBnrEOSiRVbZwjP+CH1stE6dEmsQfW4l\\u002fkxl8NV\\u002fye189d3Fnv5et3I\\u002fnnr\\u002fV6BrEppyUJmpgh4I+GnAxVEh33J6vKnpjHgTZ8abmW8mHYSWrkaUtCt7VNn3lRK+dW7yFRWFF+q5wyly2cA67sp3j1pPzzPjnBhr4NzkLE6NNWIJo2qUmmiHjwuTG3M7uG54O01GhDYjSpsRo9X0wlXb\\u002fLVznbR2005EzTJEVVXwEfU7JoxqSuqyVkQQVV\\u002f2QN0PlgLC1568LC+j9QQHTZ+\\u002flbXLLVfDVDudIp1uie1OEaXgN+0nsTSS8sNV935PJYIVhV7+kOvk7kIPpT0Y84wBwVvTc\\u002fhk4+JJUOLHp7b\\u002faBBFrYy8drGE0KfFmvSL481qq1NovCvf87q7Cz2ve6w80FfR6g4TfujAtFdk2RMzUdBN4BxLiA8dZiVfdWaiJf66ZDsLzIRKSVMPa0cOa9sMet9kz9rj4bmQSrKuzSe6n+TZytBua\\u002fKtTpGtuSI357o4IVbPBzOLeFG8CRvPYDWR2V3jOZs0SIsddpEny4PklVN1kAEvoislzWp4arMRpcmIVsNUG6RFTBhEpSSCF5AiBWSERa9TBqgGvwy4NkGgSgVFucbIN6Aq9DoVetxy9eh2y\\u002fS7NnnlVGd2w3ecyRgWbUaUl8ZbODZaz2wz5n\\u002fv8VFo0tJkY6XAT7MbuD2\\u002fE4cRx5\\u002fxBFkB1wxvo8OK84HMQgaVfdB\\u002f+0DwFYicdgQa2Syj6gOZBfod6Tn6X3Y92vRoaeCcOJGvDVMZb1U1I5hpa3QJGALxW1Pw1v9oWq7\\u002fJbPA3emWDFdr4foq51Q32kVTJy1+kd3ADwbWYyFwxii8wYwYCKRE8Kb0bD7acDhNMkJeO\\u002fvslBpv7R8TBi6arLLpc7zY8F7XC0ft9kNTux1P+PrcMoNq9312AKtG0APHmKyyqfOdbQray9Tjak0Fb1+89ltJoNEfRBqlN5AEYarNvnW+0YjQ6Ee8RYSsZrcpKTVum4JnUsLkz\\u002fkuvtO\\u002fhm7XG4CMmvs3HsFguTSS5ur2k6vT5lT2B99OREoY6vKB9fKXg5v6YljnFLBXMUNnc5h5gi4A3Qh1\\u002fXBXWlonf6\\u002flaPesRLMxqJxqZ51qJJ66+9auB9lqFwi8KMYjmI0C1XdpJM2Xm47gxFgDQ8rZZ2KxoCMFM0kQnmr5TiFeeKq3c+D4QuqgySuHrKowqByyyibvOtWkEnnthas+WR5kVXkQCbwo3sxsM0ZMGtQJizrDcwxKSy9ctcmIkJGm5+5KsC8t\\u002ffX52HDZEV+D4B6Mp8EEhkZLSH6e3chPs14Fln0JeO29BcgYFle2ncCRkTqKk+R9NxGUP9GkhKl+NbRJfrd\\u002fbcWAC124iRmeiGKmCTr4o2IEllbg9jppzf9ByzHuGYlmY9BP8jDVI3hESLbYed7YuRJXTzyUJejAKWnypaYjeEOqgyFlT3ibaLetJj16LT5qS02M9hYTfm654EpJafDpntVcM7QVUwh+134qZ8abGVI2EDiHjGyluTVbbdWtveBv3ypXu5uxr++j0Ji+SP5n\\u002f3NcP7zd\\u002f5ee0BRYqzHFhOTq9lNZHElRngJBDwbfuDAAnB8MrDd\\u002fPbjJsZAfcFD\\u002frWe4kMPMXKMrwKjAGhMuHFL2rR\\u002frWdX4H01HOq9NtZs5X02dqlFcA45vBTfwwpoMRnlN7RFvqQE55fD5nqfIK4d31c1j0Bf2fbHbWnXMR2qFMPjfeGGqaOhTcE+hB\\u002fCKI\\u002fy10M0SK02BkcQZY7chx16y2p79vPUKbz0vNHy17xluzHXuW033zatBuieNdz8jQvKuuvksjaRw\\u002fEFiMn0Ydm+719cy0tKb7bx7ad9z5r3F3k4D3mejbuMQEHKYmYIOfs44Bx4yMV+fU87\\u002ffrrnyQXP2UPuhzOHiZgwZV47e1QRJ4Ng3jaRRIXU7WZMvD+zkGuHt9HvVvbjPCMup\\u002f\\u002fR9yxFrXh\\u002fZsF+zez7YrQwjj6jQpOQBo+UBqq+7Rp4rDyIFAJTH9whM5jJtdZ8ufdp\\u002fpTvwpyAqh4IeLDoXRxJ8cG6hSyNpllkJelzKzhaufOthMhrV1Z8TWsyNL5gBpcIktLUjlLutUPbzB9n15t9buX2NJGP5qis4xARcphZ6Z7H4gu7c18MXqrgj1dmNxsf2PWYfKKcdes8x5hR+c6fD4FqGniAJYWp64Sl8tpWf8jtEBvtPB9rOJxftp3I91qOYZGVBMCQxj4TUtauXb\\u002fbv4afZjeQqok4O5gEOwb3Ffsoa1WNGV9bGWaXU8IUB68NCl0NZf2iL+SBnWFP1wwSfrz4xS\\u002fmta99bfV95yc7eHvdPGabcSwh+a\\u002fBzbxn56PGZQPr5S6n5KakqeqkpQNNYU+pq8ej9rcPtLA6aemoEO69hV7xvl2Pml\\u002fte6avz6189u+c9bphKusOBXW9lpm4Rh+LBJQAIsgPlVGfMxDz35Kew0V189zDI0nhaKStFRVGvKb2NFuOcvdkxKvLNzTpCEJphF5VGTTvyu\\u002filvxOdjjFyvszCyKfbFhCWSuajCgf736cP+Q7ufEPfyQWj3Peeefh5RPcM7WeZR\\u002fMLOTjjYspKm9uOxg\\u002fhMaztg8rh3d0Pcg2p1h1kNHAfzYv583pOWQPwjaV8tXsitJ8vnc1dxa6J6SuK6WYNWsWGzZs4P\\u002f+7\\u002f+4+OKLkYbkx83Hcma8GVcrut0y7+p6uNLjlq8HXlknzdZzk7N4SaKFYyN1brsZ1w5KuhoRuD1XBX+MX4AQgdFTYCB1VAiVdW3uLfUZN+V2cHehtwz8d4bot4Yob9ajo9oOGWaq6l6LAqQGVUb9vJH4n\\u002fopfuJ3w9suvr2wq\\u002fll8WbOS3XoZZGUajaiCIQoaVc4\\u002fg+8+xYYmEJoAyMQbF3SSgyoiuhxKuKR0oDxt0I3j5ezwwXlPg58T8IxN+d2fv09dfPdmDSMQV2hXXr5xo879nhmdcwik8nQ29vL3so+a0aMSlcObqKkXT7duJTA\\u002f36ylWiFJi5NfpfbVhVyha4K3O35bl6X6qj6u0\\u002fW1QOX25xy+HzvU\\u002fy90DNhyzpAOp0mkUjQ2dkJQMKwWGylcLUmIUz39vxWo8ct32YiLkoSWTSoyq+6fnj7O68f3n70fCtRt8RKc3SsjqMjGWabcZ2Uhk54BSi0hUT6v5EQntfhsHJEv2uLbU5B\\u002fK3QbdxX7GNdJdcN\\u002fAH4uUSsGqQMI\\u002fnjDikhh0ND0GHkxhr9FHcAn24n9qMut3TxH3Kdb\\u002f5DrvOYJZGUcWK0gSO8YBY924zbjUZEWF5WFiEQ2vGdQbY7FaPXLYs+tyx2OCW22Hk\\u002feUJuyEGtBO4B\\u002fmQgnvTWmKzvdkuff6A0EH9NcpYWIA6LpmAINqxfx+y5s5k7d+4+BR1GDGgSuGpoKwPK4cuNRxCRclLyoY9cx\\u002fM622YX+K\\u002fs5lFnDbK33lfq5eHSAKfHGslNYJ9\\u002fIrjesoddbolP9TzJ46XshIU8mNHb2trQWrPVr4t+uJWi0bDQaLKqIv6Q2+Ea8AubL0vB1zYKuEIirpDo5Vvswllb7MKJdxZ2HQ8cWSfNaIcZF61mlFYjSlpYxKTnX2BrzYCfQGNNJcdOt9QH3A3clYCbSoguXxM4ZAo17IlDRdADXHy7QhelrQIuPYKWH6yl54S1ldxb11ZypwHzYsJoTkjDigmDhJBEhEFBO1S0lyLZ9\\u002f4aqmi1C9iOl4Hkr8AT18OutyFc7a3XJCAv4fCNP2b9Y3cXe844LznLrWhtHB6rwwAeeORhzn7FyznmmGN44oknqp11Xyg8lfFPuU4G3Qpfb15OkxElpyfLX8DbXvv+wDp63PJuMegCgaM1PxpYx3GzTqoayA50oAms4hlhst7O86meJ1lTGR7lRDShVgvB8uXLEULw+OOPA3BKpJ6YMLAQ7p8KPcZmu\\u002fDoiXAnfE0Dhn9tpeBpiXga4Chak2vZ1TiknIVDleEjnqsML8BLPNKMlyrMxav1tx1YAzyagGdLiJ0ABW9InvHBKhPlUFij74lAE\\u002ffSP+OHbGq9rAKLgA68PHAZRhIHDOAlC9wOdAJbDEQWRowxPrUxx6YAR8NXZxmxr\\u002fy2\\u002fWS31YwahmHytg1\\u002fI\\u002fGSU3nwH\\u002fdw00038YY3vAEp5agc4\\u002fsimO2OjNTxrZajWBpJ83z9BVw09TLCL7Ib+P7Auj0mmghCLt9ZN48vNi074GCcIPKsTprcW+zjC71P0eWU9ktdB6ra0G233cZxxx7LggULUBWbn7WdwItijTgo9Zme1fK2\\u002fK5\\u002fMxA\\u002fdtFjDWKSmuA\\u002f7zvW2GvEaDtJ9W\\u002fNWIPuIZ9oYiyHsqAHiJrDDZ4YeXHkpx37q\\u002fn\\u002fNkb\\u002fczcjrQRUEuuoPPbj32s5xnx1chZSwB+GdvCFoed44J57Oe2003jxi1\\u002fM\\u002ffffj2VZ+zTM1RIIYqsR5YtNR\\u002fLKRCtlXMq+Kj\\u002fRHykYrBplhOty2\\u002flSz9PVb76nHhtc+wOZRXyy4XAqKEpK+eGm+76WgSAuPTX4mqFt\\u002fHBgnd\\u002fu\\u002fZsGgwFy8eLFrFmzhm\\u002f953\\u002fy71\\u002f4AsfFG\\u002fhV6wlEhNRb7bx4W9dD\\u002fTnlHCWgS+\\u002fd5bR2e32sO4Ae52895u8XFDN5e22ieH2uNgU0mP5hKLT0DqT21Lzqa4wMDrWZQMf+yAqgiPMU8MCdhV0IUHnlcG6mg8Mck09+9jOgNT\\u002f\\u002f+c\\u002fp6OjAtm0Mw8AwjGqhgb1VhAn2bLvdMp\\u002fofoL\\u002f7H+OfrdCRlpV\\u002f\\u002fHxtovGbgkawiueeP3wdr7a+wy6+t\\u002febp537V8ObuSLfU8z4FZoMCwvHHfM+WuvHxGSBhlBCsGDxQE+vOtxvt2\\u002fpjo47Y+QB7XPtNZ885vfJJfL8fNf\\u002fAIEXJieQ0IYxJDu3wq95JTzB4no0iOGsT1\\u002ftdG52YPD2cPfwW\\u002f\\u002fghNyOPTW6PtipG9OLoZGu8D1D5X6z+xyiqrBiMioEnx+1tG8754VfPJTn+Kyyy7j1ltv5QMf+AAPPfTQqBMEaaf3tH4P\\u002fNtdNFcNbeHOwi7ekp7DuclZzLcSXnodDQ4KV48IqPR9z6UQdLslfpBdy1VDW71rsu9eW2sc\\u002fP3wDh4s9vOm9GxeEm9mUSSF5Su+oua9DprNdp4HS\\u002f3cU+hlRbG3er3gu+yN2rJYtXXvv\\u002fa1r3HBBRfwkUs+xJatWzk50cSr4q1BuK9xW36nDVyzj68UMg4vBNV9KpCASsOSHDz4laYj699RN1f3uRXRYET4r+HNfLd3DZ\\u002f4+Me57Ac\\u002fAOCqq67iN7\\u002f5DWvWrKG7u7ta+21fBGvKQFgy0uKkWANnxJtZEknRbERJScMrwqgVee3S7Za5v9jHzblOupzSqHXo2HNr9jwA1K7lU9KkzYixOJKkUUZJSoO8culVZTZU8vS4Zd9Pfvc27y\\u002fz58\\u002fn0ksv5aKLLuLb3\\u002fwWn\\u002fv8v5Mxo1zZejzLImkiCPX3Yo\\u002f86K4nHvki+tSv4mX5PaCLhYTsA+lvP918VqJZrZ7\\u002fcueR+efoR+afo59d+Er9ycYlGtDHnXKyvuv2O3TA8PCwfvzxx\\u002fVdd92lL730Ug1oIcR4GvioQ4CW7P6+2WZcHxmt08dEM3ppJK1nmbFRr4\\u002f3Ge\\u002f5vV+v9rrGHs6x+znFhN8bHLFYTM+ZM0cfffTR+t3vfre+9tprdalU0uVSSX\\u002fkQx\\u002fy3iMN\\u002fYPWY\\u002fWzC16pH5x3tn56wSuclydaNXCJ\\u002fxvsKwgwZAzhjD5xAsPPqyNC3nJ1+yn6iEhaFLWLAFLS4u5SL5d2PcYONMefegpvPv8NnHLCibTNaqOjYzYr7l3BBRdcAPvYa6+l1mq8Jwv2SGjs+OvxwPr9muQsXp5o5dM9q\\u002fe5dt8toGYM+\\u002fr8WIJly7nnnsutt94KQLFYZNvmLfzl1lv4\\u002fo8uZ8eWrcyPJPlcw1Jelmhm0HVISUOtLg\\u002fJi7oe2h5Bn1SAXfswwoWMQyjoE0cAnMvhkdtYf++F6TknfaN5uduvbCOIz05Jk0Fc\\u002fjTYyf\\u002f2r2NLUMJLQKK+HrtSxs4Xn1cDdhe+vYd5BkJ+QqyeH7UcR4cV5wf96\\u002fhxdn2QOWU\\u002fRXZibRyrxgfGtob6eo4\\u002f\\u002fngqlQrdvb2sXbcGFKSAtzccxjtTc2gzowz5WWzqhOl+tGeVcWd+108k4qNq9y21kAkQCvr+YQqEIxAfjgnxs1\\u002fOOkGdEG2QQ76TSxDEEZMGZTTPOMM8VhhgbWmQTcUhsrgUhabXLY8rWhMxnk2U2vjto6IZftR6LM1GhJJWJIXJD7Pr+GV2E7B\\u002fBR0mcr39+cyLY428pG4WL4s2M9eMU9betqJG0yyj\\u002fCHXyWd7VjsG5kkO9qpwNj8wQkHfPwSgO0g3dTK8+shIuv2Xs07UGWmJvHYxGcksI\\u002fFSF8el6RdR8ObOr\\u002fQ8w1\\u002fyXXvsrYHABNta+8uYYgOck2zjy43LaDQiFLWL4av4MWFy1dBmfjSwgZJfQ6622upEb8aYiiYAHB3JsN7OjUqOqYEmI8JrU+3MjiS8KjlmnBYZIS1M8sqh7KdyDvLi\\u002fSnX6X657xkjp5xbgNfqyR0L\\u002f6kIBX3\\u002fkYAy4Dsu\\u002fL9T443ud1uONmYZMYb8pBjVbSbtCU5GWjhovt+\\u002flv8Z2lIdEAKfcw3USYu4MNjllkZdqPYn2lslmeD14B0tRpT3ZRbw1rq5SNjNj14BddJkZbGfn2U38GCpv\\u002fpakEO\\u002f9rzjJ2sceVdamrw80cb56XaUhg\\u002fufLSa7HHk+wi+2nwk78ss8HYM\\u002fEoyjtZYfkUYrxhkkcsH1usb8zu00kgD3uzC7znEQkNnEqGg7z9BZztCIh5W6MQ8M8EnGhaLsxItpKVZVV+D9fGDpX4uH1jHY6Usr03O4pWJNr7U9wzDvquri+cV9+PW49hg57kjv4t1dq5aVXV\\u002fWBZJc3ailTekOphnJshrx09+sTsKTUKYlLXLnYVd\\u002fCnXxaOl7IRrpzUZEY6M1PGieBNnJ1qYZcZoMWJ8ofcpfjO4eVRIbFC48unyEK9KtvHm1ByWRdO0GFEEMKwc1tk57srv4o+5TpZGUqqslHi8nF3TCKf0Qc6\\u002fbDijHwChoB8YgdxcZyLenJKmm1W2MdfP7b7QSmIJQadT4tFSlq1OnsOtFO\\u002fLLOA1yXYeLPXzzq4RhxopBEprvt58FP+SmU+fU2GnW2KznedZe5gtdoFN\\u002ft51UBFG4MVQZ6TFfDPB8mgdR0frWBJJ02ZEyWu3+r69\\u002fcg1mVQoa5cNlTxPV4Z4qjzEFifPgGtTUi4RIamTJm1mjCWRFEsiaeabCeZaCaJCUlButSjlJbse44lydpSg1xsW17afwj2FXq4a2kpeOb5PgElMGjhakVMOs804F6bnsCySUm\\u002fvelh2OsUvCviGDmfz50Uo6AeGBFQM86wSzt+\\u002f3Xw0JZS4KbeDTZUCFa1ISoMOM8aySB0vT7ZyWqyxmtjxvwc385PsBlLCrEaWuWhelmjhspZjcVBEhCQpPMfFknara\\u002faSr\\u002fJKBAnpFT8M1spCQEkpbPbPRx6C\\u002fHaCuDCQYmTZUTt9Bs7jgUee7Yf9mkgQmgiSpyvDvLvrIUras1YIPHfZslZ8vfkoLq6bR48qs6lSYKOdI6ccYtKgzYhxRCRNnZeFVn+udzW\\u002fHdo60Ej82H6K2wnX58+LF5oL7FShAFHB\\u002fQfw97uK3Wf\\u002fpu1E93XJWUbOL7hgCkFKmtQbFhXlebC5yitacEt+J29KzaHDjPHt\\u002fjXVLvxIKUu\\u002fW6HJiOBqWGMPo4A5ZhwHb3a2EDTKSNXoFxiwgqoqB1rQIvhMQTtVcdrTUFFbwSUpTP5a6MZCcG5qFqvKWUpa+csW7z1faFrGTwY28tuhLbw22YYGDo8kOSpaV531ba293PdCcFOu0712eLspEL8b8IQ8tLQ\\u002fT14IQS3ThfSit4yf3JXfxX8PbRENhqVT0qTZjFDv1x7rcyvktGekS0uTJ8pZNlUKXJDq4FWJNuqlhau92XRYeWWNLSFJSoN\\u002fFHv51eAmEtKLvwmmNAc\\u002fHTNjZtn9nMXH\\u002fVKIUeca7xhbt+13w9vY7pYwEaws+kY9vyFtRozXJtv5YtNS1lSGuWJwIw0ygqM1\\u002fW6leuS1Q4OM8GhpQH+p72nD0apoon+lR50t5EAJBf3AUYBox70NePx7\\u002fWvlHfluVWdYONqrVOL4qqvSnvqKgG\\u002f0P8erU20cEa1jlhnjrEQL4JXwBXio1I8pPFV+vhWnz61Q0u6oH6o2\\u002fnI6MRH0uxUG3AqnxBrodys8Ux4CRjrWixJNRITknEQrX2hcxpXZTXyl72lcNC1GlLRh0mhESAiDG4a38\\u002f\\u002ftelz1uRUhEXfaXkKQavhxyIETqu4HjgaM7VCUcEVW2Vf+W\\u002fcT4sP1h\\u002fGuunk0mxFs7dVhjxqSIdfhEz2rsLXi0w1LyCuHqJC8LtnOTblOlO8Su6YyTLdbptmI0GJEKWuXonKJCuN5O7VMJgpNUprcVegmJUyWWCkeK2cZUF4qbNff9D4xWk9USPpdm3fWzSMqJf\\u002fR9yx\\u002fye\\u002fk5YlWjozU0etWuKOwk7WVHICQoBT6R\\u002f6lqslFQg6cUNCfH37VV34n4LOWkIf9z9Bm9Zdcl3xFqo3lkTQGXpWX3+d2APDT1uNJSpOicrFRLI\\u002fWsTSSrqZd2mjn2eEUaTGizDLiKA2dToklkRQlPTmlgicDDVgIVhR7OTJaR7MRZW1l2FufC688c0aanBxroKBcDAF57XBhei4nRBu4amgLj5YGuD2\\u002fC0tIDrOSXFw3z\\u002f2\\u002fXKfMK+f+w+He9eHafNIIBf35oQFDwLCAXyn0N7\\u002fWtFz3uTZ\\u002fyndyT76nuh12RryJS+oPI+MXNzSEwEbTbER4cbyJNZVhTCEoa8Vmu8DRkQytZpQWM8rD5X6Oinp1xqa+xOT4XzoqJFudAs9VhviP5uUUcNjiFACQSFwUi6wUHWa8mowCYEjZzLcSfKN5OX2uTUF7OwjtZoybc13yqqGtwkJeuR5VZt\\u002fJJUImSCjozx+tgYUkf71R5T95V6G75Setx6l31c2VA26FonapNyIkhUnO9wQLLNwCT8U9IVbP\\u002fwx521UAT5UHeU1yFhaCJZEUz5SHd\\u002fNWm040Xi33ewq9ZGSE5ZE6Bhyb7fZoB5+T4w1Vg10wQBl4g1lRu0SFJCEjKA0F5ahfDm4SGtY3o\\u002f6vyztFqLJPEqEx7vmjALmJfDfw69vyO3mo2K+L2sUUknoZwdWaAVXZLcuqQFDULsdHG2gxolVBfrYyjMCr4PqiWBOb7TxdTokIckYIu0Bgo7gx38mrk7OIS4NBZbPd9+QLdt+PjzZUjYyjPz\\u002fiNVhUiqgwuL\\u002fUp9dXckLCL3ZCgTDmfFIJBX2S0CBaiP7S1rr\\u002fhtwOGRNSueiqv7cxjtIt8Ixa9dJiWSRdfX6HUySvvFLHyyJpDCF4rJwlLo1JDSk9EIJw3H8Ueilrl1cn2ygoL+Ksy\\u002fH89B3tWdTnW4mqd954CLzdBoVSf8rtlArd1UH82jB4ZfIJBX1yUIDspbJBwHW3F3aJDZW8jmOwr\\u002f6q\\u002fS24E2MN1eeGlcN2v7JKXBqcFW\\u002fh5lznDFidA3hx5f87tJXXJttpNCIoNHntMqjs6gy+KJKk3YhR9hNzjEew1t9g5\\u002fQ\\u002fCj1CwNXbvQIdoRFukgkFffLQGi1SRC4fdO3ijfkuaQk5oTwyQgiW+zO6AIrKZadbwhKSgnY5N9nGJrvAU+VBYsKYtqnORZMWJncVetjllnhTajbDyovF73HL1fYDzLeSXoDPXhqr0ESF1DfldsqidofriP7MfymczSeZUNAnDwWQo7JGwLU3Du8Q3aqkTLHvdbWrFc1GlHppVX3ae9yy5yOuXA6zUpwYq+e3Q1uJT9N+usZbfpRw+cXgBi6qm0+j4Xm4CQQDfilp5TdtqZX06sntYTrXeEUYe5yye3t+pwCuGaK8idDSflAIBX1yERpEHH7S7ZaLN+e6ZFIYem+CKRDYWtMsI8y2EtXne53KKP\\u002fz92YW8GBpgEdLAySFOeXC7vpx9b\\u002fObiYlTd6SmsOQcpDCm8UH\\u002fYywQeroZZE67L3oMwqIC0PfVthlbHeKpQTWFeE0fvAIBX1yUYAoea6bf7pheLvocUvKEnveGhN4udobzAhtRrT6\\u002fLCyvRBSISgrxWFWkgtSHXynfy37Stw42QQq+6ryIDfmO\\u002flcwzJGlYYQUFBefjwN1Ble6Kyj91zeyUQw5Nr6d8PbBXBzEXsVoRfcQSMU9IOAAuKYl22xC+6f8ztlYh8zcOAL32JEqs8NKYcyno+7EF6N8\\u002fdmFlDC5YrsRhqktV\\u002f52Q78u+hqmOmlfc\\u002fy3roFLI\\u002fWUdDuKCEOfADAi7aLyj0vMRSahDT4e6GHdZXhion5ozB45eASCvrkowFRxn0Q+PPvhraJAbfiWntxeBG+y2i7Ga8+F6RYCuZu1xe4S5uXc\\u002fXwVu4sdNPgp6g6WHglowWWEHy650mOiWZ4e91cBlRlVCist68+0o45ZhxrLyWoJIKyUu4Nue0S+JuNfT\\u002fBbmPIQSEU9MlH44ewxkzz+5vsQuUv+Z0iLk29pz3wQJCba2Z0LyBmJKecRFDQLkdF6vhc41I+27Oax0rZgybsDpqYkEgh+WT3k8SEwWcal5Dzk17s9qVrmjDbiFdrxo1FoYlLgwdKffKxchYD48fCKwIR1CAPOQiEgn5wcAFZcdwVwK3XDG2VQ25F7S0hhNZe+aXgHY7evdcbCLLK5o2pDv61\\u002fjDeu+tRVhR7afYTUUyGgS4optggLfpcm\\u002ffufAQTwTdbjvIGH8bXr2ut67OtOHvWYARora4d2i5cre91+OJthKGoB51Q0A8ewlN9+dYGO+\\u002fcmt8lk9LU462rg4IHGWlhCj\\u002f36x7GhEDYL8rM43ONS\\u002fhk95P8fHAjcWmQlOaoqqcTpbZaalKapKTJTblO3tH1EMdEM3y75Whc7cXXj9dhNBqj5pVgm3C86ySFoR8rZfX9pT5twPclX1OE7q4HnVDQDx4uIG30gwL+dO3wVjHo2sr0gzzGooCEHBEXk5G0jmNl3stG4\\u002fDW9Dx+0nYcf87t5H07H+HBYj8pYVJXU27ZrRHi2sNF4\\u002fiLibgwSEuLlDR5qNjPB3c+xmUD6\\u002fhUw2L+vXEpZa28L7MXjSQqRrqSd+1x8Hxb1e9y2w1bq5Uf4fBbdWhpnxLC6LWDjEDoNOZ3n6vkzv9zvku+o24uw365obGYYiQZVFQYGELg7iEGXSLIqgonxhq4qv1k\\u002fndoC9\\u002fqX0OzEeF1yXaOj9Uzz0oQRVbTTik\\u002fikz6nzeEYEg5bLILPFYa4PfDO+hXFc6MN\\u002fON5qNoM6Nk\\u002fZTUezWHa6\\u002f6Kni+6xGxu0++BmLSYHVlUNye34UBl\\u002f2Y9WXCtfmUEAr6wUUBMofzAPD7\\u002fxna8pbXJNvcqDCNoHhDgEZj+UIIkJZeMYNSTVjrWAwEeeVgIPjX+sO5IDWbOwrd\\u002fDnfxf8MbaHDjDPHjNNmRmmUEeLSwNGanHboccrscEp0OUU2OwWSwuAViTbOS7WzNJImrxyGlD2hRJNeAQqvK1lIokKi9WhNRKGJINyrhrYatlYPf5ATb7qSR8PglSkiFPQpQINIwte32IXX\\u002fT7XGX1\\u002fZqEeVLbYmxB56rdABxkg94BXEgkGVIWMtHhP3Xzelp7DTqfEY6UsG5wc6ys5csql7BdmiEmDiBDUyQivSLZxYrSeBVaSpDQoa8WAqlSTP07w+9HkO\\u002fsYgDnGQchbm5usKg+Kvxe6tURe\\u002fksetQlztU8ZoaAffBQgi\\u002fCkgKuuGtx6yWuSs9wGI2I4NWq5QFSzu4JXBUXpiXmQBPHdDrq6x91mxjg\\u002f3YGJl4Pd0aqaGjruLwu0v04va4WtFVllV881UYJyzU3+1qAU3r772IzwEtS1w9tEXrlPvoUjb7iBZ0JL+xQSGuOmCAWijui3d7ml\\u002fv8Z2irj7O4D7+gRQW81ol4u9\\u002f3wFasV0opWDCubflWh1ymTVTZlX9j7VYVup0yvW2HQfz4IWpnoLD76u3kx6p76LryCDjWvxYTkmcowt3jBK9+7gWcqhH1vSglv9tSgADlEeZOB+Okfh3eINfaQSviRaIG3SN4v\\u002fhAXBrPNuO8Zd2AE+dcN3+gWJL4IBgPTf24ycsG7GhJ+m8vaHTWbayCKcK8Z2irKWq06i5YbCePNp5xQ0KcOpUG0kbp8UNk7fpHdLCXC7+y6umUGflCIlditAupE0Qd4HAiBV19Kmsw141S08qvECpQ\\u002fAKyuDIlbCzuFhJ\\u002fcQ0+O0NI+5YSCPnVoQHYy3CeR37klv1OsKPbolF+pRUBV0BeYCVLSnNCUF2ybBfviyndqMXwf9YjwrOCxMUdUSCJCYtXM9sE5Rs\\u002fJ+8bVnrFtsZ88I6\\u002fcqiSbCHXV0FZZUO7aU5hztQ694KaF0Bg3tShAHkXLfz3Jrvf9JLvx6JNija4hhCHFSJaWE2O7Z08dOcGICAoEJt6+dVRIpBCUlEtBu5S0S0UpKr5Hm\\u002fIFuKrSi+Cz\\u002fkAgDeqEhSUEFX8tX\\u002fHX7oHY76kyqxRQwWWpL+gDbgUpvCKQT5YH9e35nUj48YNsLxJa2qeFUNCnFg3IJ9mVj2B8eXV58Mbrh7eLi+vmI4BuX9CPi2aQQlSV2xFnF4gJA0tINBqtodet8FxliPV2nu12gR63QrdbZkjZDCuHnHL8dfMIEkAI3yPOpE6YNBgRWs0obWaMw8wkSyNpFllJokIi\\u002fLLOJT+iTggxShUUXjQayyJpJIKtfjZYAeqq4a2ypNWmI6m75hmGwgi1aSIU9KnHBYSNe5NA3PrLwU2vPjPe5C6PZowtTp6YNKrr82D2tvwSyi6wsZJjvZ3nwVI\\u002f9xf76HMrRIXEEpKMNFloJTkpVk+7GaPdiFFvRLx98xqLusKrXpr1rfK7nBLb7CKb7AKPl7NUlKKgHQSC42P1nBFv5uhIHYsjaZqMCEXtVjWFwJhno71rmjGe86vOPFke5LbcTiHhimcY6ieczaeNUNCnB6FBxzG+2u9WzvrZ4MbYt5qP1lvtgjgyUkeHGaekXTIygtbQ5Ra5vtDNX\\u002fPdrLNzZN0KR0bqeFmihSMjdcy1Eswz47T4TiuePzuoamCsHmVwCzLUVKujCuFb4yUF7bDNKbLJzvNceYhHy1m+278GW2sWWUlOizfxmuQsjoykyUiLknar+\\u002fMGghfHm7mrsAtHK3XV0BbpoDfNI\\u002fOrrQyGs\\u002fk0Egr69KAAo4jzkIDf3prbeckyK+1mXdt4TaqdZiNKl1Pi74Uebs3v5Lb8TjLS4qhohs80LOXUeCMN0iIuDS+Jg3axtaZfVcZdQ++1zrn3R\\u002fVBIphjxjnMSvLKRBtF7ZJVNo8UB7glv5Obc51cM7SVw6wkb0rP4VWJNuZacQq+190Z8UZuGN7GFYMb9b3FXiT8cBuDA3h9zZnk+xgyQcLUPdNHsMw9HHjGRBiWkPxm1kl0u2V+PLCeHU6Ro6IZLkzP4bhohvlWEoWmqF1cPRKOWjtDTwa1se2Gvxcf873ptjoF7in08Lvh7aypDJOSJm9IdXBheg7LI3Vsc4q8s+shtdMpSYXermEZXuWV4NQh00Ao6NNHMMN9SMAVAqGiUsq5ZpxOp8Srkm28NT2HoyP1COF5upX8YgiTKdQTIbC8awJjoKCiNSuL\\u002fVw9tIV7ir0IBBem53BJ\\u002fUJ+OLBe3ZzrlCaix0EfB3TVnCpkGggFfXoIhHyRRPxDoWcDOi1N+fpkBxfXz2ehmaCsNUXtabtTLdxQM7PXLu4Z0SCS0sTVilXlQf5ncDN3FLpJCJN2K8rmSkG5aAl8FPgJoeo+rYSCPvUEoZmzJeJmhT4BUG9Jz5HvrJvLkZE6ilpR8de8tZ5xtXvaIycbPznF8yFYEgR77KbfCgdNya\\u002frHmTFkQji\\u002fh7+I6UBrsxuZEWxD0BJhFToDcCJwBBhAshpIxT0qSXw8Z4L3AicsMhKup9uXGK8NN7iVRf10yiPjeUWCKJCjirWGMy4ttbYqP2KOhuPYAiJC4kppL\\u002fllqfPreCgaDQiLI2k6TBi2GjKfluD9by3Baj5a6GbHw6sY7NdUHj+NFdquARGNT1kCgkFfWqRgJLwCQ2Xvb1urv2R+sOsZiPKsF\\u002fpZKxvexDLbWvFNqfIejtHl1NCAI1GhEVWkjlmnAYjQk45nuvdATTMy28niQjBQ6UBrhvezuryIF1OaZQ33hwzzsmxBi6um8\\u002fSSJqcdqvXCwakpDTpcUr8PLtRXzO8LcgJ9x\\u002fA16pvDZlSQkGfWoIZ\\u002fZOGEN+9vv1UfWS0zhjyCxWORQNJafBQcYCrh7byj2JPdc+6lqOjGc5LtXNBqgNLGH4wzMTRgCUERaW4bGAt1w9vH\\u002fW6gVd3ya2JpquXFp9rXMr5qY5Rwg4jOeijSP6U7+L7A+tUt1OWAvFvCvVjQseZKSfcR59aAmkuuVrLnU7JXRpJ71Eo40LyX4ObuXxgfbUSSm05pmC9vro8yOryIH8rdPPVpiOZYyYo6vHzr49F4+V5K2rFJ3tWcX+xb5ThTwfJMHRwbe\\u002f6WWXz771PkZQmZydbKdTkezfw6slVcLgwPYe4MNRHu59Awrwx9yFkigij16YB6e8rF5RbrSdei0KTEAa\\u002fG97O9\\u002frXYuuR9XewLg8MZoGTi4FgZbGff+1+gi6nuMcCCmPRaCJIvtO3hvuLfQRZasdLG+1d25uxvaAb+Hb\\u002fGgZdG5PRVWMlnjT7ATYSkCZia82pQqaQUNCnAQG7AAaUjUDsJkwWkm1OkZ9kNwBBPuQ9y0YQpmoiWF\\u002fJ8e3+NQTZXveGAlLC5O5iN3\\u002fI7UAiJlz1JQiy2e4UeaQ04CWEHOezWsM6Oy+9P8XGCZ08ZNIJBX0aSGD2A+xwitJEjJrfggKED5b6GHAr+7UfFQSZ3F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LV4jG9RsEuP9DaKBroBRIqW667g9UVVboqWz20ogr5KZ3fG1jy8n\\u002fj57AXg96sBWQL3RKqXAmkzndtu2PlIfG5mb18JPP2Medca5TPmycFJX9FbEqRWV\\u002fFegzROlVA5XRe5AK9xuuQn2HqeiAkYqSanXtX\\u002f\\u002fuKKWU5Tj\\u002f2ML1CS8AaHgBPW1TwcAe7Fjo0ejbEX6gTQghlVJmNps9zrbtKwOBwASApctXqLseeNh5+Iln9AXzF+ooSSAaJRQKYhsGVjxO1pEMGNAPgLXrajEDARKNjRx0yEHyih+do1m2PWv1qlV\\u002fXb26YUA0qhm2pgWDQhgAtm3rSinpOE7GMU1LpVLSNE3bsqxsMpnM1NbWZl966aWMZ+bbXa3f+0+BawmoHgtgx0PPrrydkO8nK6X2sizrGs9EZ+GSpc7fbr1TPPD4k1rj+jowDWJFMWzbIR2PA4IBgwZy6P7fYq+puzJx7GjOvfxnfPTxp9iOQ01NH95\\u002f8SnVv2+NAOqBDFABBDe1LNzofDPQ5P3bbNt2rW3ba6QQa3Gc1UKI1bZtLywuLq7r4toM71gSekz\\u002fHQE9Gv0rRr4vrpQqyWaz1wDnmqYZXL12nbzuH7dx\\u002f2NP6BvWrMGMxYiVl2FZFvH6RoLFRRx6yEGccsJ32W\\u002fvPaiqrATg2DPO5b233yVYXExpcRGP33MH\\u002ffvWiGQqhWXZFYlkktZEAitrYdmWsm0H27axbBtN0zB0HV3XMQxdBMxAOBaLhmPRaHUsGiUYMDEMA8Nod6ukgWalVC3whWVZn6dSqRmWZS3LZDLLhRDJDtes4ab2ZE8QcPugR6N\\u002fheigxfezbftvhmGMB7j17nudP\\u002f3tZn3Z4sXokQjhcAjLssk0txCrrOC7RxzK6d87nn33mNrumFf+9g\\u002f8+Y\\u002fXE6koI5PO0q9fDQfuuzfratfT3NpKU3OzamxqJpFMYdmWsCyLrGWjshZYlhu4MwyEYaDrGkEzoGLRKNFoRMWiEWLRqKooK1VVvSpVv5o+2oB+fbWhgwaKsaNHUllW1vES48DcjGXN1eDDdDr9+osvrlhy\\u002fPHjsnnfge792VO99xWiR9C\\u002fIiildE+Lh2zbvkrTtJ9pmqbPWbDQufhnV2uvvPqGwDSJRsMoqUi2tBIsinLi0d\\u002fhgjNOYcqkiQBkslk0TcM0DJ59+VWO+v4ZmKaJBIQQWJaNbGkBwwBDB11H6Dq6piGEaPfQhHCdaqXaPRwpkY4E6YAjwbFBSjBMME1lBkxCwQB9+\\u002fRRo0cMY\\u002fSI4Wrs6BGMHj5c32n82PybKgsstm37tWw2+6ZS6r1YLLY27zvR3GW3pRJ7sG3QI+hfAfKEvK\\u002fjOHfoun4owA233OH8\\u002fvq\\u002f63Xr6wgXx9A0nXQ6jZNOs9\\u002f+07jmJ5ey19QpAKxdv57rb76D7x5+KLvtPIl1tevZ94hjWbRkKaFwGEe6FrEQAl3XQamcEPt\\u002f562n4DqFEJ3+FkK4N4kQKCmR3mYgpcS2bbBt1zJAUNK7SvXt01uOHDZUTdtrD23\\u002fffbUBg0cQCQU8g+73HGcGY7jPNna2vpKZWXl6rw19Qj9NkSPoG9j5An5Ho7j3K3r+vC1tevtS35xjf7Qw48LLRggGHRjZKmWViqrq7jmJ5dy7umnoGnuz\\u002fOvex\\u002fg59f8jiMOP5Rbr\\u002fs9pmnyoyt\\u002fyU033Ua4vBTH\\u002fuplI38j0Ly\\u002fs5aFncm6FoCuo5mmGjFsCHtO2UVO23tPjjzkQL0oFvUP0WjZ9jNWNvt0JBJ5VgiRgZzA90TutzJ6BH0boUPQ7XjHcf6t63rkk1mfO6edf4k+e8YswqUlIARSSjKtrXxr2r7840\\u002fXMm7UCAAam5q57Fe\\u002f5d+33MGkPXfn\\u002fZefJhgI8OEnnzHtyGNxVFtOa4vga\\u002fJ2B9r8o+a7Bb4bkMlkIJWCcJia6t5y550mqBOOOlLsu8duWr+aPv5HF2Zt+xE7m308Go1+Am0b5BZdVw9y6BH0rYw8AZeAsm37fCHE3zRNM598\\u002fiXnrIsu1+vq6okUxZBS4TgOVirNxT86h9\\u002f\\u002f4krCoRBSStbX1XHCD8\\u002fnrdffJFxayguP\\u002fJd995iK4zgcc9rZPP3Us4RLSnCcLZQFpUB5gXCRlxIX3qPTLaLa\\u002fbOpDUETAk3XcBxJJpt1TX3bod\\u002fggWra3ns4xx15mHHEwQf6b3csy7rHtu1rIpHIirw0XU9+fgvRI+hbEflaSCkVcBznCl3XrwX4263\\u002fkpf96rcaQDAYRCmFbVmYusYNv\\u002f8N55x2sitzShJPJDn8pNN4+613EJrOmaf\\u002fgNuv\\u002fyNKKd798GP2+85xaF66qyt\\u002fu5srBiPkPhSgHPc5xwZpgZ0BaXfeAHIbgQZCz7MIfJksjHyNn85kUMkUIhxUY0aOUCcfd4w6\\u002faQTtN69KgWwEjhHCPFCx++Xnmj9l0KPoG8FdBDwSDabPUbX9Ut0XZ8MqN\\u002f+5Uau\\u002ft2fhRkOoWlutattWZhmgHtuvoHjjjwM23ZAgK5pnHzeRdx\\u002f7wOEy8sIBYN8\\u002fOqzDB44ACEEJ593Effd9xDhkuIt0+ZCgJNFDtoXZ\\u002fQRYKXcKLvAjbBLG5wsOFlENo5IN0OqCZFuQiTrEJlWdyOwUgg7jdJ00Az3kbMElCf8naEJgaZpONIhk8lCKs3Q0SPVVZf+2Dn9pOMNIOs48nml5EzLsl5PJpMzKisrW\\u002fzvmx6B3yz0CPoWwK9R93Pjtm2foJS61DCMXQHmL1qibrj1DnHbXf8hGArlNJ9t24QDAR688xYOO2h\\u002fbMdBINB1jZv\\u002f\\u002fR8uuOgKiirKad1Qx0UXXcDffvdrAFavrWXy\\u002fodSt6EeM2BuoTYXrsmuGzjDD8YZdYT730q219odBdbT2iLTAsl6RHwDIl6LiK9DtK5BxNe7G4Z\\u002fHD3gav5uCH0ylYJslgvPP0fd8Lurha7r+W\\u002f7IpvNPh4IBG4RQqz1vv8eP76b6BH0L4GOraSpVGo\\u002fXdd\\u002fZprmAQDzFy2W\\u002f7zjbh544mmtfl0twaJY24elwnFs7rv9Jo4\\u002f6nBsrzpN0zSWLl\\u002fBbgd\\u002fh6amJoSmETJNXn\\u002fqESZPHIcQgrvuf4izLriUQDSMlFtLmSmw08gBe+JM\\u002fB5KD4BjtQlnDqLdPwgdfC2OADsNVgKRakJrWIpoWIRo8QQ\\u002fmwAj4L5feMKrOhfIaZqGkpJMJsu4MSPV0EGD5M4Tx4lpe+\\u002fBXrvt6jf+rLIs6zrTNO8UQiTy+wW20hfy\\u002fxI9gr6ZyK9uS6fTYzRNu9o0zeMB1tfVyb\\u002fcfAf\\u002f+s99WmPtevRIhEAgkDOxNSFIJxLcdP2fOP+MU3AcB13XkVKiaRrnXv4zbrv1TmKVFcQbG9n\\u002fgP146ZH\\u002f5lJYJ597Effdez+RinI3h721IDTIJlC9x2HvcjoqWApOxhP2Lr8Jbx9QbccQmifMXsVrthnRuBKtYRFa7eeI5jXuhgBuXECIgn69EIJMOu26ELaNFg6zx5Sd5YVnnSGPP+pwA8BxnI+VUr83TfMJ6DHnN4UeQe8mOqTLii3Lutg0zUuBksamJnXHfx9U\\u002f7jj39qqJcs8ATeRUubMa13XSDW3ctaZp3L79X\\u002fCcRxXgymFEIIv5i9g70OOIpnJEAgESMXj\\u002fPnaq7n0vLMAaG5pZerBRzJ\\u002f0WKCwSBSbmUFJnSwEqjyIdhTzkJFq1yh3Kiwd\\u002fqW2kfjhQ5GEN9qEM2r0dZ9jlY3H9GwxA346QHPKmhv2vuxDOGnH+MJME0O2W9f9esrL5W77TxJB7As6zHTNH8qhFgE7TfiHrShR9A3gY4VW5ZlHQjiOsPQJwI89OQzzrV\\u002f\\u002fbs++7MZaJFITghVh5s2m04zcuQIpr\\u002f8DNFIGGi7iTVN4ye\\u002f\\u002fh3XXf8PIiXFJBMJSGf46L3X2WWnCQDMXbCICfsciOZVvW0TCB2sJJT0w5pyNqq4ZhPC3kGrtx2o\\u002fXv8Y2u6a8JnWhENS9BWfYxWOxuRanBf071NocD16bqOkpJ0PEG0uIgfnHCs84vLLtL69uktgFrLsv5kmuY\\u002fhBB2j3bvjM3Zrr9R8MgWdCGE9LR4L8uybjQM4yXD0CfO+mKufezp56gTf3iePvuLuYTLyjBNE8dxCgbJpGVxwL57EYtGclpc4W4CTS0tPP7CS6DcEtN99tqDI475Dv371uQ+v3TFSuystW1\\u002fMOWAGYaW1Rgf3oRoWeWl3vIUZH7eXTNcwTXDYEa8R9jV4kYgLwKv3GM7FmRaQRio3mNxJp+GtfcV2OOOQxX3czcVO0NbILANjuMglSJcXETWtrn1tn\\u002fpux14uLjrvoccoLdpmtc7jvNiJpOZmJcB6VFkHnraVDugI6VTOp0eLYQ4GTjFMIx+mWxW3frve+Vv\\u002f3qjUb92HaGSEoCNprqEEOA47DZ5J7dizHvecRwMXeet9z5g8RfzGD95Iv\\u002f442\\u002fZbedJmIbRTuPX1dd7QXCx7TQ6uEJshBDx9RjTb8eaej5Ee7s+u2aAboJuQDbpptvsFMLJIpSDUAqlGZ52DqDMMDJQ7GpqabkpOz9fbzmAgGgFctRhyEF7o9XOQl\\u002f6NqJ+EaDczwnaXa\\u002fv8oRLS1m7fj0\\u002f\\u002fNGl+qNPPyevu+YXauyoEfsLId7KZrM\\u002fE0LcDD2ReR89gp6HvDprJ51Oj9R0\\u002fQrTMI7HI2N898OPnF\\u002f98a\\u002f666+9IfRIhHBp6SZz2b6w6qEQI4YNcYXeu3H9GvGnnn+ZUSOG8cpj99O7V692n\\u002fd9caUUamv75V1BSTDCiJY1mB\\u002ffibX7hRAshnQTWsMSN7jWug4t3YTKtGAnW3CsjFtoo5nuZhCIIMIlGEW9oKQvsnwYsmwwBGOuGW+nPGoK29X0RhA5YA9kzc5oa2eiL30TUbfQFXQ92C5op5RbUWiaJiIQ4IUXXtamf\\u002fwJv7ziEueic88s1jTtpmw2u49pmpcIIdb2mPI9gp5DXvOJns1mL9d1\\u002fWeappUoBQ8\\u002f9azzr\\u002f\\u002fer7313od6NpUiXFyM9G627sCyLHr3qabC6992lZRyzfbmFtauX88j999D7169sG0bP3+c3002euQIQtEojpTtPGD\\u002fPVuWUy8Az4wXDUswPr0bwuVo62YhsnGsVALbcUAJCAap6lVFSUkJ4VAYcNOH2WyGZDxO\\u002fbqZZFd+jB6IoEfKkL3HI2smoipGum2vTgbXtJdu0Y7QkP13Q\\u002faZiL76E7RFryIal7nv1cx2boRfTx8uKaYpnuDiK3+hv\\u002fneB+ovv\\u002fmlHDpo4AlSyslKqfOFEK96rpj4pgp7jw9DW6RWKTXIcZyb\\u002fTbSJ59\\u002fyf7TP27RP\\u002fjwY4GUBCJhdE3LtYTmw9fU0vO\\u002ffWiaRjqRZPLknXj9iQcpKS7KCaUQggWLlzLzizkcd+RhuXRbh7V5JaNZDvveabz++puEi6I4jnTTUJlMjgFmq0fiwQ3E2RmEkti4Neu9q\\u002fswZuQIJu80gYH9+1NWWko0EiYQCBAKBgkGg9Q3NLK2tpa1teuZNfsL3p8+nYa6DWjKQhkRVMVQnIF7IqvHt+XWcxct3fMaYcg0oy97C33xG5Bq8NJyWqc8vPCKblLNzfQdOIC\\u002fXnu1c8J3DteBjGVZPwkEAn\\u002f3vs9vZFT+G6\\u002fRlVKGF6nd3bbt+wzDGFy7oc6+4urf6fc+\\u002fKiB7RCKRRGAI2VBIdc0jUw2iwAikSjZbCb3mhuLkhQXxYiEw3nPu5vBgL41DBs8CKVUJyH3D6CkJBQMMGjgQLAsvA5xbNtm\\u002fNixrF6zhoa6OkLR6NYXdiXBCOJISUlRjDNOPok9dtuVXhUVuWuwLAvTNEEIFixcxIeffMK8BQtZsWo1DQ0NWLaN4zgII4AiCFYSUTsbLVSCqhyJMiO49HJ+UY4XcrQSYIRwRh6OrNkFfdHLaMvfc60AI9hJuzuOQ6SkhDW16znxjHP1jy44T\\u002f7hV1cGTdO8MZ3NTgia5sVCiPg30W\\u002f\\u002fRgu694PblmUdYNv2o4ZhlLz1\\u002fofOOZdeacybPYdQSQlCiI2a6JqmkY7H6dWnD9P22pMPpn\\u002fE6rVrMUy\\u002fRFWgSUUoGMQ0O3\\u002fdodDG+RoFoIRAKZi6yyQeeqycrGVhGAbZVJqKsjLO++Fp3Pyvu5g963OCUXdTklvTlFcSgSKbTjNsyBCqq6poaW111ycEkUiE2XPn8eCjj\\u002fPJzJm0NjSAEAjTRNd1hNAQmgZ2FlDImkk4Iw5GlQ9tK5ctZFwKzQvcJVHRSuxJP0D0mYgx50nPnO+s3W3HIRgIoJTirzfcqM2ZP0\\u002f968brZE119Q8dxxmmlDpFCLHimybs39j0mmfCOdlsdhchxIOGYZQ89uzzzhEnnqrPm7+QSFkpUsouhTzXhdXSwm5Td+NXV17O0uXLWbFqFaZ3o4G7EchMmqpeFYAbNRZi8zwmNxWn2GWnnSgqKsKybaSUBMIh3nrvPXRN55\\u002fX\\u002fYkTjj8W27bJWlau4GRrQdd14s0t3H3fA26PuRCYniDf9Z\\u002f\\u002fctlVv+TNN98klUoRLi4iFIsRCATQdN21aqwkqrgGe8pZ2Lueg6oY5jbNqE3Jmtcl51hgpVHVE7D2vBRn5GHuy3bnCj6\\u002fjiFcWsoLL7wi9jniOP1\\u002f731g67q+r2VZ\\u002f8tmszt78ZhvjKL7Rgp6nk\\u002feT9O0B3Vdr3jy+Zeck868QE+k04SjUbebrAtomoaUkmwmw8k\\u002f+D5X\\u002f\\u002fQnPPjI43z0\\u002foeEwuGc+WwYBommJqbssxe\\u002fv+onuQDcl4EmBNFImFHDh4FSCH8dlsUjTz7lss6cfTZXX\\u002fkTykpLSSeThV2BLwmlFIFohJmzPmfugoUUx2Kk0il+86fr+Pfd95DNZgnFYui6juNIV9gQroAqiTP8YOy9L0X2383T0mlcLd7NTc\\u002fvj7dSrisx7rtYu\\u002f8YVTrALfIp0DvvOA7hkmIWL17K4Seeavz3kScc0zQHaZr+vGVZB+YV1\\u002fy\\u002fxzdS0ME12y3LukvX9aHvfPiRffqPLtWlUu1q0wtB1zQsywIhuPTCC7jovHP4+6238+5bbxEuLckJua7rJFvjjBgxnIfvvIW+fVw2lc3V5t5aAYhGw+yz5x4uR5vH4mIEg3z86WfMW7gQ27GZtu9e\\u002fOXa3zByxAhS8fhW0+z+JpWKt\\u002fLRp58ileKP19\\u002fIW2\\u002f+j3BxcW7za4v+a64Wj1VjT70AZ8LxKCPsCqWvpb8McuZ8ClU1CmuPi5CD9nHdAuV0Oq7jOISjEdKZDKeff7H+53\\u002fc4ui6VmUYxlO2bZ\\u002f4TdHs3zhB96vdHMe50DTNA9fVrrdPPf8So6m5GcOrbPPhUyL50DSNdDZDLBrl6iuv4OQTj+eGm2\\u002flxRdfJlRSgvSbVzSNbDpD795VPHDXrQwa0D8XJd8SmIZBde\\u002feRIqKckJlmiZN9fW8+fa7mKZBa2ucoUMG8+drr2GvvfcinUhsVWEXpskHH33MP267nXfeeodwUVGHakBPs9opZL9dsfa8GFk9AaxMQUH8cvA2CisFZhh78qnYk05xA3QFSnYdx8EwTYShc+Uvf6tffNU1UikV1nX93oxtn+Zr9v\\u002fPlXTfKEH3fkiVTCb7A1fZji1\\u002ffNWvtSULFhDpELEWuFFtwzByEfFsJkNpSQlX\\u002f\\u002fQnHH7Iwfz3oUe4\\u002f+FHCUYjnqnqFcg4DmbA5D+33sjk8WO9tNmWf9VKSkYMG8qEcWPJplI5LaoHg7z2v7eoq28gGAySTCYpisW45mdXcszR3yGdSORiClt0fqUwAwEWLV3G408\\u002fS8C77jZ45a5OBmfkIdhTzoJQcZem9RbD1+5OBjl4H6w9L0aV9M\\u002fl4\\u002fPhVxiGYlFuvPEm7bQfXSIty9IDun6XbdtneIG5\\u002f7fy8P\\u002f2wrqAIYSQumleout65dMvvqoefewpLVRS0q7tUyDIWhaTJ07AMAw0TZBOpykvK+Pqn17Jt\\u002fbak7ffe59b77wbo4MfrAlBNpHkumuu4qBv7YNdIDe++XAFxDB0SktKqKrqBV5QTymFYZqsXbOWdz\\u002f4kHAo5PG7Wyil+PG55\\u002fC9E44nk0q5R9rsQGCnsnNE3nFUu2cVSAd73LE4Y4\\u002fzqt7sraTFu1yh+7CSqNJB2HtchKyZVHBz8asLI+Wl\\u002fOee+7TTLriErGWh6\\u002frttm2f9f\\u002fZjP\\u002fGCLpnsltKqcN0Ic52HEf+4YZ\\u002fah2TUJqmkUnEOfzQQxgyaCCtLa3YjkNxUTG\\u002f+MnlTN1lZ5atXMnfbrmVRLw1L43m+uWppmbOO\\u002fcMfnTm6a4m3wpmsy9o4WAQy8qy19TdCMRibnUanoshJa+99TbJZDJHZCGlxLIszjvzDE49+aTNFnYpJaFQiGGDh+Ry910vEnCy2GOOQo78ttd3rjrvEtsKQgM7jQrEsHc9GzniEK9BRtFO2AHbdoiUlXH\\u002fAw+LH5x3kUqmUpqu67fnm\\u002fFfzaK\\u002fOnwjBD2vvPUg27Yf1HU9+vc77hKfzpglgpG2KLkmBOlUiqEjR3Dcd47gw09ngHQIh8Jcdfkl7DJ5J9LpNHf+9z4WL1hIOC\\u002fCrus6qdZW9tlvX67\\u002f7dVIL3i1peZyPkJeC+zI4SNyf4MrkIFImFmfz2b2vHmEPCZZX+On02l+eMrJfP\\u002fEE8gkk90y4\\u002f0a\\u002fYAZYI9dpxAKu0UzBT\\u002fnRcPloL2RIw51G14EfOWFl0LLNc7Y447DGX8cKDuPHqsNtuMQLi3l4Qce0U49\\u002f2Jl2bY0dP22dDp91P9Hzf7\\u002fXtB9Ic9ms7s6jvOAYRixm+68R17+i98II2C2e6+jFEHD4PILf8Ta2lqWL1xIKBzmih\\u002f\\u002fiD122xUlJa+8+T+ee+Elgl7dObiR+Gw6TZ9+Ndxz0w2Egm4TxtYUcgBNExi6TjgUYuK4sUjLyp1DEwI7k+HNt94tWAufyWQ5+\\u002fRTOPaYo3M++6YglcIwdKbuOsXdWApmI7wUWlEN9ujvgLLant8eEAKQbpxg+CHYk051n5NOpzU5jkOkvIxHH3lc++GPLxdIGTAM4z\\u002fZbHbf\\u002f2+a\\u002ff+1oPtFMUqp\\u002fgjxgK7r5fc+8oRz4U9\\u002fqRmmmWN4AdB0HSuR5JBDDmbKpJ14\\u002f6OPUdks5599Fgd8a18y2Syr1qzlX3f\\u002fp505nqtCU4qb\\u002f\\u002fQ7BvXvh+MFfrYFTNMgGosyZefJqHQ6dx6lFFogwHsfTWdd7XrMPJfC187ZrMUFZ5\\u002fJAfvv50bjNxU7kIrKikpGDBtKLBot3DgjBEgbe+ShEKlw01xflbneJdr8djlob+xdznBbbJVTWLOXlXHvf+4Xl\\u002f7yt1LX9SIhxGN5RTX\\u002fL4T9\\u002f62g+xF2pVTMtu0HTMMY8sa7HzjnXfZTXdfcwYO+6SuEwMpm6N2vhpOPP47m1lY+nTGT4085mWO\\u002fcwSt8TiGYfDv\\u002f95P7dq1BPIr33SdTEsLF557JkcddogbfNsGQu7LWCQUxLZt+tbU5AY4+CZ6wDSpW1fLux9+SDgcatfiGvKCdNJxuPTCCxg\\u002fYTzpeKLLQKHwtOD4saMxAya9q6q6sFIUaIZLDZVpccknlKQz68x2gMeFJ\\u002fvtir3zD93uN9k5xScdh1BpCTf+4xbtmuv+5hiGUQHcr5Sq8YT9ay8nX\\u002fsLKASfPALQbNu+2TCMPRcsXuycdt6P9WQiiWEa7Xq7hRA4WYujvn0oA\\u002fr3o7mlhf333Ycfnvx94okEsWiUN956m9def7Odya5pGqlEgok7T+LXP7kUKdU2EXLvqgCIhMMkkyl2GjeWAYMGkk2n2wmfVPDO+x\\u002fQ2hrPdbQFg0Hmzp9PQ2MTmmf6\\u002f+zSi+nTt4ZsOp3riy+EsaNGoms61b17Fya8UAp0E33JG5jv3ej2kJthEMaOIfA5Yd8Za5fTXc3ebigFuWGUwaIY1\\u002fzhL\\u002fod9z7gmKY5ImtZdyulAu7LX+8c+\\u002f9LQQd0IYTjOM4VhmH8oLGp2T753Iu0FStWEs4LvoEr5Nlsln4DB3DoQQfmBPvkE45H0zR0Xae+oZF77nuA\\u002fJmkfqQ7EAjwt2uvdttP2Ty\\u002f3LcKausaSGcyBV\\u002friHAoiCMdotEofXpVtRM+v\\u002f595uwvWLZiBaYv6IEACxYt5rd\\u002f\\u002fgut8TiO49C\\u002fbz8u+9H57sjlDpra\\u002f0769O3LkEGDcByHyoryrpltlAIzgmhYgvn+jegz74dMMwQ8kgklty0rzqbgs9zW7OIW1vic9h1SbwiBGTC5+Ge\\u002f0t96f7oTMM0DbSn\\u002f6vWw9wj6jgSllOl1pB2sFL+RUsoLf\\u002fYr\\u002faP3p4twcVEuJeVDaBoym+Xwgw+mV0UFtm3nfFrHcQiHQzz57HMsXbKEYDjcrlkl09rK+Weexrf22sMtXNkMbe4X1yTTaZasXJMTNL\\u002frbG3tep556bVO+jBour3nlmVxwLR9QNc7E1Gm0rz5zrsETBMhBKl0ml133pn5Cxdy7V\\u002f+CkAylWT33aZw4nHHkvUi8bnvRAhkNsu4MaPpW1NDxspSWVGxcWH1KKhQEn3Rq5jv3oA2\\u002fznIxF1zXje2r8ALDawEsv9U7AknuPn9DlBSopsmqVSaH5z3Y23p8hWOoWk\\u002fSmWz53q9EV9bf\\u002f3\\u002fjaB7DCKaEMLKZrNTpVR3GoZu\\u002fuWm27jv\\u002fodEuKzzeGEhBFYmQ3VNDd\\u002faaw+yeVFsKSXhUIgFi5bwxLPPYeT5vJqmkUmlGTJyJFddcmGOHKLrtXX95NKVa8hmrTZf2Xu+obGJ6\\u002f55K7PmLkRKlfPDdcMgGDBxpGTwoEEYht6Zg1XX+PDjT6hvasptCtVVvRgzciTT33iL\\u002fzzwIJFImHg8wfePP5Zddp1C2su\\u002fg3vDa4EAe+8xFZRCE4KS4iI3Lb7RH0ECmqvd4+sxZj2M+c5f0Re+iEg1gRl16Z19jVpgiMM2hXDr7+WQb+GM8nL9BUgoQ5EwK5YtFyefd5FIJJIqZJo\\u002fVWpFuIujfi3w\\u002f0LQfYogIYS0bfssXddfDATMvs+\\u002f8rq6+nd\\u002f1gKRjqWaLlzfPMseU3dlQL9+LnmE\\u002f8MLgdA0Hn78CZrq6zF0o429VSmkdPjdVZdTWVG+SUHv+JL\\u002f\\u002fubWOKvX1REwjU4CpGkan8ycyf2PPsHilWtIplxfPGAaBAMBMtksleXlTJ44EcsrhwXPfA8GWb5sObO+mEMkHHYJFXWdkSOGIyJhHnr8ST76dAbhUAjD0LnwnLMoqyjH9tpbs5bF4EEDmTJpEulMBt3z6zH0bvS5e7RQPm9cYj36rIdcgZ95H6JhESA95lhPdnxNv4khjVsFArAzOCMPQ\\u002fab4g2qKND1VlTEe++8Jx566hkB1DQ2lu76dc6vf+0F3R\\u002fJo5QyLcv6m67rt2uaVnL7f+5Tp1xwibCkROtg3vpwpCQYjbL\\u002fvvu6JnvbMQkHg3wxbx6vv\\u002fU2gUgkF7wTQpBJJDhgv305\\u002fjtH5ApTNoYNdfVux5sH\\u002f\\u002f0r1tRiOzZC0zrd3u6oJp2773+QOfMXMmveIuobm8lkLRzHwbEdysvLGDl8GKpDQE7TNOxMhk8+\\u002fcx1VbxJLyOHDUMB2WyWu+9\\u002fgEw2SyaTZfiQIZx8\\u002fHE4luWuxbb59oEHUF5Wxoa6ej6dOYvi4mKMvGxDN34YV4A10zXdkw3oi17BfPdvmO\\u002fcgD7\\u002fecSGeW7KKxB1G1L0AO1GNuUeW7oBqLb1KLdMFyOEM\\u002fpIL4bQ+dgCEFKK96Z\\u002frAAzEgv9Qym1u5df\\u002f9rJzdduwQWgeZr8j4ZhXJRMppzTLrhYnnPhZaKpuQUzECiozTUhcCyLEcOGMXLYUDLZbLucNAgeffLpXPeXfytIKQmEQvz6ikvaTRPpCpZl8eEnn+ViA76gxBNJNjQ0Yeg6SsnOGl3XiYRDrF+1invufwCF4JPZ8\\u002fh09jzS6Sy67mre4UOHEvTTbHlr1EMhPvj4Y5qbWzB0VxMP6NeXaNQlhJg163NeePU1YrEYrfE4Rx52KDtNmkSqoYGhw4dzwLe+hVSS2XPn8sXceUQjEW+tm1sI5Gt4wxV4QDQuQf\\u002f8Ycz3\\u002f4n5zl8xPvk32or3EfG1Xo265gbyAjFX6+tm2wbQNi6dNgHOtwbyHwAij38+AsEi95ipJrTl77ifK3A9Ukr0SISX3vifeOv9D2XQNMdLKV9VSh3o+etfK9n5Wi22I\\u002fyqN9u2LzYM49INdfXOkSefod1z931aqKgIw9ALCjl4Qbh0hmn77Ekoz\\u002f+WUhKNRJjx+ee8+977mKFQuzLXbEuc448+kj13m5LriCoEv93101mzmT1vAeFQqJ02XF1bl9Pyhm7kCY\\u002f7byQcQhMaeiTCE888xwuvvkpxURHxhFteqmkaqVSaKZMnUVZenuuR974XdF1nXe16Zn3xBaFgkGw2S2VlBX371ZDNZtENg0cef5L6hgZ0TSMUDHLKicdjhkKcfPyxlJeVoqTinfc\\u002f8EgudK\\u002fAqNM32d0fq80n1wOuECuJaFyOtvQtjE\\u002f+jfnG7zHfvQHj4zvRZz+CtuR1tLUzES2rIRvHzdl7bLBawH0YeQ8tkPe66fLLO1lI1CPqF6Gt\\u002fght\\u002fgsYM+\\u002fDfPs69IUve8yyBQZuKIVumqxZW8tB3z1J+\\u002f0N\\u002f3A0TYtIKW9vaWmp9IT9axOJ\\u002f1r6G9Am5Ol0+jAhxPXJZFKedM6F4rWXXxXRinKsjQwh9OvS9\\u002frWPhx20EGk0xmX0wy\\u002f0k3y\\u002fMuvkE6mCMWiOfPcsm2ipcVcdM4P3TVsZH2+4D73yusUxaKA1xdtGFi2TUNTMwDBYJBVq9cwcnB\\u002fiotiOeVSUV5GwLNGzECAm269nRFDhjBo0CASiURuOGMkHKZvTTXr1tV2usZsMskH0z\\u002fmW3vv5Qp6eQX9ampYMGcuodJSVq5YyStvvMlJx36XeCLB6JEjufY31zBh7Ggcx2F9XR2fz53LlMmTEAIvYJjN+xEcdxCi5g1YRKNtwIRq\\u002fz409325McxeessI5j2n3AmsTSsQ0kHppmfSB90pr5oBZgiCMZRmurl63ZvJ7ljukAjHQviz3a2U+690EN6s9xx9lR7w+OK90li\\u002fTS9P6JVHRCIdyVVXXaNHwmH74nPPHBQOR38PnO1eFF8L3rmvpUb3dlKZTCYHGoZxu6Zp4twrruLVF1\\u002fRIuUbF3JN00inUgwfOZLLL\\u002fyRyyjjcaUrpQgEgyxeuox3P\\u002fgAs0Ok3U4kOOLbB7PLThM2mU7zBf2Zl17JDWXwb6FEMk1La4JoJMLiJYv5ya9+TVNzs3dt7jpKioooikVQ3qCCpqZmfv6ba2lsbCASibhkD7jCd+C0aWBb7UxqKSWaaTLriy9YW1tLwDTRdMHQQYNAdwuGhK7x3EuvUNfQgK7raJpg9yk7u0G\\u002fQICZs7+gafVaYgXZZRUq2gtVNsjLl2uuoGUTtBFMeBZGuLyNFCKb8FJbfv+raPtmhHAF0IyiQsVeuk65rLGpRkRiPaJpOWLdF2hrZrgaesX7aMveRlv5IdrqT92prRvmIRqWIFrXIVINiHSTe1474zW46OSa2oyg6xpIp2D5rpQSXdcIFBdx9R\\u002f\\u002fqs+eO98xDO20eDx+yNepRPZrKeiPPPKIBhAIBG7Udb3mxtvvdO797wNauLx0o+OENa9Pu6ysjJ9eejHl5WVks9lcZZiUEtM0eeGV12htas71mgvvtWA4xAU\\u002fPDU3OKAr+H7sspUrWbB4GUWxSLvXm1viCE2QSCS44abbWDR3Xl6wru24gwcOAKW87rQIK5ev5Ce\\u002f\\u002fDWJRIJwOJzL+fevqUE3zHZrUkphBoMsX76ChQsXEQgGyWYtBg8ciBkMuGypoRBLlyzh\\u002fenTCYdCSKVIZzJoHl3Wex9OBwGBgIljO8gcsaWn+YSOHLAH2f1+ibXfr3EmnYocuJfrB1tJ91ocC1U5HGvaVThjjkb23QWilW51Wjbhal074z58jSuznoa223xofxa7lqfF\\u002ffFPQvc0svf1KekKrrRci8MIo4qqkVWjkP13xxlxKM5OJ2HtfiHZab\\u002fA2ven2FPORJUPLijsjpdfb2lsEhdd9WshlTKj0eifa2trY8DXwoT\\u002f2pnufqNKMpn8QTgc\\u002fs4nsz53fvG7P+uBcHiTtRgu97fkgjN\\u002fyJiRI2huacnlr5VSBINBVq9dy9vvvY8eCORSSZquk2pu4YCD9mPqzpPc5zaizR0pMXSdDz76jFRLM0WxGECup7vFE9SHH3+C2bNno0UizF+8lKGDB+XWIoRgzIjhPPvsi26rt+MQLooxb958LvrJT7nu2msoL68gnkgwcGB\\u002fxowbw+zZXxDMa531qSHe\\u002feBD9pw6Fek4DBzQj4Bp5oKPQghefv1N9t93X3Svycc0TVatWcNHn34K4TC6buBIJ0+ru0IuWteiz7ofbeUHOMP2xxm0FwzdH9G0FG35u+jL34VsHNG0EmVGccYc5Q6DSNa7wbB4LcTXIRJ1iEyzp+0901s55Ca1+r698CqbPTNb+RNaNR30kGsFhEpQwWIIFaOCJahgDIwQKhB1o\\u002ftm1H2\\u002fdHKuh0KhSvojK4Zhvvs3NybQYbik4ziEiot4\\u002fbU3tH\\u002fde79z9infH19SUnaJEOK3nlbfoU34r5Wge5FO1draWhUOh6+1HUdd9svfinhTM+Hi4o3zr+s66dZWjjzyCA7cfxotra3tGjr8G\\u002fyTGTNZu2oVoaKiXFumUhJhGJx87NEYhlFwoko+\\u002fO195hdzUC2tBTqmJM3NzTz74ksYgQC2ZTFj9hccesC0dlp554njwW6ry3Ych3AsxoL5C\\u002fjx5VfysysuZfyYsQQCAaqrqvg8+xki0mY9KKUQus6Mz2fT0tpKOByivKyMyooKVqxeja4URiDA57O\\u002fYO78BUwcN5Z4IklRUYzX\\u002fvc2zQ2NBKNRYtEomazls7GQszo007XAGxZjTF+EWvwGzrADkH13xtnp+8iayRgzH0I0L0e0rEYZQbAzqEgFxKpweo1oHzGXLoe7sJJuflspVyP7lNDCi6ALDTQTZZigh1y\\u002f3Y\\u002fK+xZHPruMkm3xBCvZ\\u002fpfyf5pMK4RKsSf9APP9m9zZcFqH1Jv3fV1z3d+0ww86QFVX9760ubn5QSHEwh19AszXzXQXQggVCIQuBAbc+d8H5P\\u002fefEsLFRDyjnnlTCrFsJEjOOvUU7Cs9v6s\\u002f37Lsnj1jTdB192bwns+a9n07d+Xo759SO54XcGPeCulWLhkKQhBKpX2X\\u002fU+r7NoyVJWr12HGQiAbfPZrNlt8WtvbWNHjaSosgI7jwvecRxCRUWsWL2Gi3\\u002f6C+598AEc22a\\u002fffdBD4c7+dKGYVBXX8+ceXMJBoPohsGggQNQtntMXdfJptO88fY76LqBaRjU1dXzzvvvu766YVBcXEQqncLxzPq2e98TUiPoTmCtX4Dx0e0Y7\\u002f8TsW42qtcorH0uR\\u002fYajUhsaJuO6liuye6b7TLrmtkoCERRsSpUyQBU6SBUxRBU5Qj3UTHMfa6kP6qoGkLlrpAr5Znplmt62xmXTtpKug\\u002fbGwCJN+op9\\u002fA3A881sNOoyhHY44+lEN+8lBIzFGLNsuXi13+6QWpQGovFfgXwyCOP7NDm+9dG0P0dszGVGhQIGD9qbGpWf\\u002f77LZpuFk6PdKRZCpgm55x+KuVlJZ0E3adMmrdgIfMWLHDpobzXdE1DJhIc\\u002fe2DcnPTupNHjieSLF+5GoQ7Hw18S1QRDJgsWrKkLZ5gGMxZsJDmFtfK8I8+bMggdpowDqsDk6v0\\u002fGvHcbj11js5+6JLWeCRZORveEopDMMg3drK7DlzEUAwYDJwQP9c8E4phWYYfPzZDNasW0tRUYxPZ85i0cLF6MEghmEQi0ZJJJK5za\\u002fAj+MJfBiEjrbmM8z3bsT4+C5ENoG927mo8iGulvQFrJCwgedfexNWnWyb4NoZ928n2xZhV3beb5+nyXOPvHN04I8rCKFBNokcuAdywF5dkkyasRj3PvSI9vFnM6Wmace3tCT3Ov7443fowNzXRtDxQi0Rw7gAKL3pzrvlkgWLRCDcuRtNSklVZWXOB80kkxxy0IHsPmUK8UTnwQbKY1J598PpJJqa25E2OFJihiMcftCBuf\\u002fuDpLJJLV1dSAEDY1NuQsAiEZCNDQ1oTxBD4RCLF26nM\\u002fnzANASoVt2wQDAXadNLGggLk5fEG4pJhZn3\\u002fOv++9z6uma\\u002f+T+hTNs+bMpam5mWAwSP++Ne1y7oFgkBXLl7Ng0WIUiiefex4lQHnByaJolMbGpoKFJe1P5q3TDIOUaItfx3jzD+gr3kdFKz3yB9h0lVtHgS3w2JzhD5sLx8EZfTgqVu1uLB263AzDIJ1IiF\\u002f84S8AgaKi8NXem3pM9y2BH4Bbv359n4BhnFjX0KDuvP9hoQXbl2RqmkYmHmeP3XZl\\u002fNgxZFMpbMuib\\u002f\\u002f+\\u002fODE49s1reQdO5e+mjFzFsIwc+Wuvsk\\u002fdPhQdpk0AWCTHWr+cjLZLE1NzRAwWbF6DQDC0y7Fsagb6fc0qmEYpBqbeOfDj9z3aSInsAftty96JFow\\u002fqCU34QRIZTXWZcPKSVGMMi8BQtZv6EOgaB3ryoipaW5qL33Rj6b+TlvvvMeM2bOci0Gr5c9EolQu2GDlwfvBnyOtkAEkW5C\\u002f+xejHdvQNQtaPOnv+qGlu5CCJAWKlqJM+pw77n2b3Ech2AsxsuvvaE9+\\u002fKrCjjAS7epHVWrfy0EHe+rLioq+i7Q7\\u002fFnXpDLFi7S2kWYvU60AUMGc\\u002fzR32He\\u002fAWg6zi2zXHHHEXf6mqyXtNKu\\u002fgKrh+7cs0a5i9ahBlsi7YLIcB22HXSRMpLS7s5N63NEshks2AGWLBoCQCax+1eFA0zeMAANI8zXjoOIhzi6RdfcX38PFLJffeYysjhQ7GznTcpH1LKjTab6F7twMzZs1FK0auygvLSklx9v88N\\u002f+a773DbXf9GEx55pJT0qqhA13Xq6us2rdE7fg9KekUuYbT18zHf+zvG5494gxcinQtrdhR4wyFk\\u002f6nIPjsVNOE1TaAchz\\u002f87SZpOw7RaPTKBQtUEHZMkoqvi6BLpZQWCoVOAdS\\u002f7ntQCE9IfLi3jOKi884lkUyxYulSAEaPGsUh++9P3JtF5gbL8i7b06jTP\\u002foEK5Npx7ailAJD56Bp+wJ0Q8jb4L9XmAYz58wlk8nmhEoTgj122xnd64hTgBEM8tmsz\\u002fl4xqzcuX3SiO8dfSQyldwy9hop+WTGTGzHoaK8nKJYDOW0cagZhkFTUzMrVq5ua15Rit5VbrHP+g2dBb17DS6ewJshQKEteAHznevRVn\\u002fiBvE0Y8fU7l7+3hl+kLcptSeXdBxJKBbj\\u002fQ+m608\\u002f\\u002f7IE9uldk9jPi7zvcHK1wy2oI7xSV5VKpXYDdpr+6Wfis1mzhRFqX7WWTSQ4+MAD2GePqbz8+ptguAyv3zvuGIq8MlbfTG5tjbezBLKZDJ\\u002fMnIn3RO7cjtfAMmXSRO+Zbgi6Lzhea6em66xYvYb5ixa71+O9bc8pOzNhzCgsr\\u002fPM1HXSLS3c+\\u002fBj\\u002fnXn3nvEIQdSUlVV0PXo5neI0HWWr1zJ2nXrKCkuprysrFO5p67rmGbeBqoUvauqcBzJmnW1ILTcuoQQDBowYDMW4fvvEUTLaozpt2HMuBeRibtBvB2BdiofPk98xTC3yMfOFPz5lVL8+aZbFSCKo9FLvad3uJ1rhxd0H0KIIwHzvkeftO1EUph6W+eYbVlU9KrilBNPZH1dPXPmzYNshp0mjGfqlCkkUylXmAyThsZGbrnzLrdIwqtlXr5yFatWr0HPC8JpmsDKZBk3eiR9+\\u002fT2ztWNdXr\\u002fhkMhKsvLAEjHE7z85luAG+BypKQ4FuXyH52DyMmUQgsGeebl11i\\u002foc4NJOJaABPHjuaAaftgp1Jo2pezCs1AgNra9SxbsYKAadKnundBDd1OSzuSvjXV1DXU09ra2tat561r8sQJVFdVYeX7+puCkm4Dim6gLXkD453rEetmuVpTaAUzKNsPAqSDM3SaW+3XISgqpSQYifDRR59oz73ymgL2bWho2HdH9NV3aEH3CCWcpUuXhkKh0P7JVJo33\\u002f1AwzBy94MQAjub5bBDD2L0yBF89OlnbkdWKMxRh32biOfHu0Jt8q\\u002f\\u002f3EtjUxNRL8AVCARYtmIF9Rvq2kXbNaFBJs340SOJRiKb3Z4Zi0Xp17cGabsDBF5+461coY0mBI6UHP+dw\\u002fnBySeQrq9354JFoyxbsIjnXn3djSXkHe+is89ADwaRX0IOfG2dicdZtGQpCqip7gN5dNcFoWn061PDutpaEqlUzuXxaw5Gjxrp5uQzmc2zNPx0nBlFxNdhfngz+uxH3Vy3EdxxTHkhwMmiSgci+00Fp\\u002fMAR290tfj7HXc7SimzrKzsTO+lHcpX36EFHU9BxmKxgcBOX8ybz9y587RgNJJLc1mWRVV1Nd8+6ECsbJZFi5eQbWhgzNjRTJ2yC0lvDFEkEuaTmTN56cWXGTtqZJsPZttuWsnpoJW8QNygAf0BOnHNdb1iV4iDgQCjhg1FJVNEiot5770P+HTWbEAgpcoFvG783a\\u002f5zrFHk6ivJ5vJYobD3HTnf9ya87zI\\u002fB5Tduag\\u002ffYl09K60aq8rqCUAtNkzrz5pFIpeveu6tJEEUJg2zax0hJ69erFipWryXgdc7mNQUoG9K2hf9++sNk96v6iPCYaoaHPexbz\\u002fb8jmpbvYIE6AcrBGbQnBIvdHH8eHMchUFTE\\u002f\\u002f73tvHRZzMV8J2mpqYhO1qV3NdD0EtKpimlzLc\\u002fmC6tZCoXMNM0DSedZv9996FfTQ31jY0sWboUhMahB+xPNOp2eblNGjYPPfYEKpFk0ICBCE2gaxqpdJrP58xFdCCokFIiImGGDBzoLaR7N7KAXHpu4rjRCMNAE4JEa5yb\\u002f\\u002f2fvFSwe7yS4mIe\\u002ffft\\u002fOaaX1JRWoyVSPDJW+9wz4OP5Apa3A4qnUvPOxszHOpm9L89fL65uQsWEI\\u002fHqa7q1eUV+YJe1auSWDTCoqVLoEN8QOgG0ViMQQP6I\\u002fLGQ202\\u002fI0jEEXUL8J892\\u002foS\\u002f\\u002fn1prvCGk4IdzGnJL+7vhnx+qk1XUvDXvb3f9VQFE0Gj3de2mHka8dZiFdQAGYun6kEIIXXn1D4ZnXQggcxyFaUsJeu09F1zTi8TjzFi6kz9AhTJ2yC5mM2zsdCoX4bOZMPvrkU7SiGGVlJaDcjaKpuZllK1a001b+sUPRKP36VLvPbYZv7Puy++y+GyVVlaQyaQJFRTz42JN8+Mmn7gaVPw3V0Pnl5Rfx9nNP8Lfr\\u002f8hRxx3NC6+9SWNTM3rewMQD9t2LY448jGw8sVEu9oJfpGe+NzW3sGDJEspLS4l6XHqdyoEBbJveVVVomsaixUsgEGz3vZeUFBEMBKju3RvDNL+8oOcW6LHI2mn0GfdizPivW+++I5jy3l7kDNjDtUA6uDtSSrSQmx5dW7sewzBOaGhoKGEH6mzbYQXd88\\u002flhg0binRNG1rf1MysOXOFMNtIGq1MhiFDBjNi2FCylkVDczMN62qZOmUXN0jkkR1KKXnyuRfJptPESkqIRqLYHgnE8pWryBTwMaVSBAMBSktLgM2rwfJHPY0dNZKdxo3FyWQxTYNMIsmVv\\u002fljXj6\\u002fjWzScRyGDx3MRef8kCfu+zcP3P5Piou8rje\\u002fig345WUXEfMYbTdXqwvhzmebO28BsViM0tKSwo1AXg69b3U1UkoWLVmGEcirFnQcKssrCJgmFeVlmMYmXInulJ+Cl3fXQQ+gLXkN890bEU0r8qa\\u002fbCcIXF+9fAiqYlgn9li\\u002f87Fu7TrxwGNPSWC4YRjf8vjgdwgZ2yEW0QUEgBCiP1C5cNES4omk6EiLvNvOkwmFQgCsXr0GYZrsv+8+2Lad+wEWLVnKzNmzEbpOcVGMiGfSm4bBipUrsfL44nxIKQkFg5SXluKtY7MWL72o2SknfBdst8UzVFTE\\u002f17\\u002fH1f\\u002f+QaXyMJxcsLuM8b4ghcOhdr54v6GNXbUCC4590yyifhm59U1TQPbZtGSJRhes4p0Omt0KSWYAYYMGsSiJctoaW7OWTxCuIUi5WVlBEyTolgsx5BbEEK4DSYdyCi6RH6grnEp5nv\\u002fQFv9scc3t738duHVAoSRfSa519RhGUophKGLR55+VgEUFRWd6L20Q\\u002fjqO7KgawCmaQ4CyuctWKiSra3CJ4OQHrHC7lOmYNs2hq6zdPlyho8cwfChQ8h6RA6mYfD2e+\\u002fT0tiI0DQi4QihYAjHcZlDVqxahfI0fz6UUhimQTTy5ei8feE5+tsHM3LcaLJJtz0yWBTjur\\u002f9k1vvvhfTK\\u002fppS+lpGw20+eb6FReex\\u002fhJO5FKbF4RjVsA5Paat7S2Ulpc4k0Z7fw+I2AyfNgQpn\\u002fyCai2zaDNrO9FOOx+N0GvwKb9hiFA2qhIOXLEwa4Jnk145bHdWLNvyltxjI\\u002fuQJ\\u002f\\u002fvMsJt738dqG5NNF9JkCopFN3m08OMv2TzzSv6Omw9evjfbxU23Y333dkQQfACASGAMxfvMQmlc7d2JZlMWjAAHpVVuYCbvUNTUyZPInSkhIs28Y03bz5ex9OR\\u002ff8yFAoSCBgoGmCeCLJ2nW1uch2J6gvrz80zY2+l5aU8KMfnoZjWe6xhEA3DH505S+56a57co033Y3qO45DUSzK9b\\u002f9Fbqhu5RQ3VyT8vqpV65aTXNzM2WlpeB0FhrH46KrquzFrDlz2r\\u002foCXN1VRVBr1y4sLWjQDcQ8Q0oM0p2358hB+\\u002fjmuZWKq85ZWML9kpohUCf\\u002fQj6Z\\u002fe4wTA9sH2EXTkQrkD2Hucx0XRItQmBzGbFPQ8+KoGiaFQ\\u002f0ntpu+fUd2RBlwCRQKg\\u002fwPJVqzUMA6mU6wNnswwfNpSSErdm2yVe1Jg0fjyWbbl0YIbBspWrWLx0KYFgEByHcChEwAygaRqNTc1sqK9HmGZhQe\\u002fGvbgx+IwtZ578PaZM3ZV03KWQErrLqPqjy3\\u002fORT\\u002f\\u002fNfFEIkel7Hg5\\u002f0LwTXzbcThg37245IJzSLe2ohnd4w\\u002fxA3+tDY1sqKujuLjIJU7Mu0ifBnv4kMFsqK9nxYpV6Hl87lJK9HCY6t5V2I5ESZUbfNFp3S7lPvoXj6M1Lcfe7Tys3X+E6jOhrd10U9pdeW6uEUZf9hbmBzchUo3bJ0inFGi6K+ia1tl8B9A0Xn3rXZm1bSKR0GHeS9s9KLcjC7pnzzIaYEN9AxhttE8IjWGDBxP0gkSWbVNZUcGI4UPdunIhMHSdT2fMwPErt7wSWN0TtEQiQZPnfxaClBLL6pqDrlsXoRShUJC\\u002fXvNLQqEQyhsLpWkaoXCYv\\u002f\\u002fzFvY67BiefvEVV5DzGlrajuH+29DY5Haj6Tq2bXP15Rczdc\\u002fdSeVRYnVzVSxftYZgMNi5Ek0IyGYZM2okS5YupcEjlvRNc9u2iUYi9K2pwbFt4on4RqwR93dCMzBmPYioW4CqGou12\\u002fnYO\\u002f8QFesNVsI778ZuRc83N6OIDXMx3vu7R\\u002fcU\\u002foqF3Uu1lQ+GWG93s+oYlItEWLxwof7uBx8D7Ll27drBXk69R9A7wou4q+bm5gpg71Vr1jL9k88006tyc9sEo\\u002fTr2wfL68F2HIcjDj2EcKito00qxey588CbXYaXYtI0zU3HJRI05wWa8qFrGulMhoamJn9NX+paNE3DkZK9d9+Va37+EzLxRC4qL5UiXFLCzFlfcNQpZ7L\\u002f0d\\u002fj3ocepdGjgs77RgBYt34D519xFa2JBIZhEImEue36P9GrVy+yHvtLtyA0Vqxcia513hyEZ1L3ralx6\\u002f+19hV6jiMpKSlmYP9+OFKybv0GLKtzH3y7tesBSDejz3vWjVgrBzlgd6y9LsMZcWiurnyTwTol3Vr51jWY79+EqF\\u002f41Ubk\\u002fRbWSC9k6aBOjS5+CtNKJMULr7zqAOXl5eW7sk2b57uHHVLQ8dZlGMG9gdKX33yLlobGXMTd5zOv6lWV66lWSuVIGN0ec4Pa9etZu24dQm\\u002fj\\u002ftK8vDRC0NLSisxkC+akhRBkMlkaGzsK3Ze4GC\\u002f3fNn5Z3Ps8ceQamjMMcz6Q\\u002f0Cpsnrb\\u002f6PU047h6NPPSt3Hf5aAMaMHM7zr73Bt4\\u002f\\u002fAWvWrUcIwYQxo\\u002fj7n3+H8szoTWUHlFcRuGLVKk8ZtX+\\u002fZdkUVVRgGAafzZyNCLQVwwgAJRk6eDChUAhd11i2fIXb9bexTUY5YITR1s5Aq53t8rxlExCI4kw4wTXny4d6fG5y4\\u002f6SH6RL1mN+cDNizWcu6eNXqdmVQlaN8dbZXgE4joOIhHnpjbcAVCAQONx703aNvu+ogi4ANEN8C+Cl1\\u002f\\u002fnCFTu93enqYSprurVrkrMT00ppTADAdasXUt9QyNGXkeWktJ9KEVjU5MbiCuwAE13e7hr6+pzx\\u002fzSFyNcIglNF9z5t+uYdsB+JL1Jp\\u002f71AESKYujFxcyeN59lK1e283v9fvNpe+3OOy++wqHHn8yM2W6g7MSjj+Bnl19EpqWle1pd12hqaqahsRkC+fX9bp59YL++rFtXS0N9XfscuRDgOIweORJNaDiOZO78BSgru8kNBt+iWviSWzPuM7Fmk6heI7H2uMglehCaZxJvbOOQHk98AvPjf6Ete9dld\\u002f1KhN0tiVXlQwqfU7kTXuYtXiLmL14igL0\\u002f\\u002fvjjiJdT327Y4QTdC1q4jSyBwJR0JsusL+ag9DZSQiUlJcUlhPJaVSGvsEQpTN2gdkMdyeZmdL93XQgsx8nVyTe1NhfUHkopDF3HaY2zcMmS3HNbApe7TlFcFOPhf9\\u002fKbntOJdnQmBN2pRS27aDrGs3NLXw66wugjbrKP\\u002f9OY8eiFxcxa85cDj72JJ556VUAfvvTy\\u002fj+D04k1dh2zC7Xousk02nW121A5G+C3v+Xl5WzcMkS7DxN7cqpm9IcOXwowVCAVWvWMGfePPQOv0NBeF1romEJ2rrPXa3s+\\u002fBWGnQDZ+x3sXa\\u002fEFXcz5vBtpFoqD\\u002fAUdoYn92DtuT1r0bYhdvRpsIlyLKBnQKKCjB1nWwiIZ5\\u002f5XWAmiEjRuwCsD072nY4QQeEEEIVFRUNBibMmD1bLV+5SgsE3dll\\u002fs\\u002fuV6x1cQAcx6F2\\u002fXrXP6fNwHJsG+m4vc+JeLLLY+AOOGPhkmUAX6qRpCN837yyvIyn7r2LAw7en2RDYy7FBm6mwG5uYdYXc\\u002f1VuPCEceK4MTiOQywWpa6hkaNPPYur\\u002f\\u002fhXLMvmjhs8a2Ejwu4z2KSTSdasXev66XmtsoFwGN3QmfH555iRfHoqt29\\u002f4KCBDOjXDxR8OmMma1evxuz2lFU3t66t+qi91haaK6BWElU5CmvPi5GD9vIYYp2utbtSbvoNgTHrQbTFr301PrtyIBBDlQ7o1OTiXo4GliXe\\u002ffAjGzAjgcBU\\u002f6Vtu7CusUMKulJKRIuL9wFi703\\u002fRKYaGoXhp8A8E7C0pLjLem8h3Dlp6zfUgZEXaNM00ulMLh2USqW61BhSSggGmLtgIWmvRHZLtbq\\u002fNiklvXtV8uS9d3Hyyd8j3dKKdGRbUNA0mPXF3FwzS34xyoB+NfTqW0MylXbpmzWN3\\u002fzuTxz1gx9S39DAC4\\u002f8l112m0KysbHLzUnzAo21teu9SbGeLveyEnX19cTzgob+upXjMH7MaPpUV1NXX8+Tz73QdWoyf76aH2Tz\\u002fGtt\\u002fRxE67oOAw6999kuzZQ9+TTsyae7gmtnaJum2vE0\\u002fuw3gTHrAfSvSrMDqmSAG2\\u002focC4pJYTCzJozj1Q6QzAY3NW3VLdXmm1HFHQphFAh0zwBUM+89IqgQHdUNBLdaJul4zg0N7e0ERoqBZpGPJkknU4jEKTS6YKfh7bxyDM+\\u002f4IVq1ZvrWsD\\u002fHJWRTQS5t5bb+Qvf\\u002fwNhq6RisfdjEA4zIzPZ9PU3OIunTa3pG+faoYPHoTMZHMbQLi0lBdeeIk9Dj6Sl1\\u002f\\u002fHy8+eh+7770nqYauhV0qRda2Oj2vaxpLly33Npj234cZDrPX1KkEAwGeev5FFi1YkKuKaw9X0yoz7DamWCnaONUF2Cm02s9dP71jhERorsa0s8jBe7umfElfNw23Mc2OBpqOPushtGVvbdsAnd+nXtIPFYx61YVt96KUkmAoyJJFi\\u002fV5ixYBTJ4xY1nJ9vTTdyhBVy7bq0qn0yOBKUuXrxTTP50pjGAQlf+jKYXp+7YFjiNwA3Mtra25qjeFK2CJZIJUOu3Wmm9kThve+9PxBG+++wHARgkYNxea5valSym57PyzeeXxB9h1yi4k6urdqPjqNSxbsTJ3vf7mFQ6FGDp4IHj1+X5DTLikhFXrajnyxFP41bV\\u002f5vrf\\u002fJJpB0zLbR6F0LH1VghBJpt1SS07fA9WJsOYkSPYfbdd+eCjj3nwkccwg8HOQu5ZXEoPYO98BvaeFyP7THA1spXCveUE2vo5ntlbaLP2fPNsAlU2EGuPi5B9d27z2wt+xvP3BRgz70db+eE2NOM9Pz3ayyuHlZ2WpGkaTiYjPv50hgIGDRhQ2a\\u002ftw189dihBx1uPA98GYg8\\u002f9YyTbGkRRh6jjA\\u002fTNL10T6GKNoFUbsWWr\\u002fVzbZpNzSSSiVyF2ca+d58J1aeB2trQPFpnx3HYc7cpvPLY\\u002ffzpj7+hulclTn0D7330ibd29\\u002f3+lY4bPQoC7VtDHcchGAwSjES4+ebbOensHzFm9EjGjh1NdjMZYNr1nfsbpVSccuIJ1NbW8vu\\u002fXE88kXCDnB0\\u002frBQIA5FuxZjzJLK4L\\u002fZel2JNvcDlXnPcYRYiUeea7wXaPttO7taXEyzGnnIWzsjDvLHHXaTgvHOjJMZn9yLWz9l2RTVelZwq7lfw+G5fgcGHn8xQSikRiwV28a9q6y9m09hhBN33YQARCQYPkVLxyv\\u002fegQLdVcCmb1ylsL1SWB+6rpOOx2lsbOpWGsrncXt3+scsWbbCndqypX3XBeB3rhUXxfjJhefx\\u002fotPceq5ZzJ77nyg7Z72r3mnsWMwCoxf8imzwhXlLF2+glvuvIc1tevbceFtLoQQZFpb+fa3D6ayooJLfvpzVq1ZQyC0MbIJL8LeuNRtNW1Zi6oejz3lLOydz4BIJaJ1DSKx3hX0jXUUCM2NbCtwxh2LvdMPXFGRThfC7tXH22mMT+5CNK\\u002foNDBx60Ggimu89RdYi6bx8cxZbpWmYUzeBgvoNnYYQceLtsfT6UOBby1YvER9\\u002fOkM3Sg4mxts37\\u002fcmMAXek0IVqxejVLumKaN3WRSSkLhIOuWLufZV14DtjzN1hXyzfD+fWu4+5\\u002fX86srLs69Bm3daxPHjSHmzUgvtOE5jkMoHMYwTVpb419ahfjccMNGjmTIwEH85Fe\\u002fZtmKlW4pb3fSaYEIonklxkd3QOs6QCEHTMXa61Jk6SBE49KNynjeQgA3Ki+H7Iu9y5luHr2rWnklQQ8gUo0YH\\u002f8LkWrYBo0wrqsgY9UFr8Fn3l1Xu14lkik0TRu7FU++2dihBB0goOtHA4FX3nxbNq\\u002ff0J5+OPdOgWU7Xe2j3luEe0O2+6wbkFu4eDFSuWSRm4KUChEMct+jT+Si4NsKftOKXx5bU9270+sAlRXlDBs8CMfuQqvRVoTT7bLYAvCj8Jqhc+e9\\u002f2X9hg2EClgSXUK6PdyiYTHmp3d7s9QyqFgvrD1+jIpUgp30gnKbgheVzyaR\\u002fXbB2u08CJXmlc52XLwEI4xoXo3xqdf11nE66hbB23zCpRCMdSqHBddSa4knmLdwMUDfd+bOLRJCbJfI+w4h6N6FS6WUqQuxM6Aee+Z5CHadn00mk13+aMrrcAsFAm4gK\\u002fc8IASLly7DsiwCwcAm1yalJBAO8fEnM3LFKd2dv\\u002fZlIYRA6yKd5+fBdxo\\u002fBqzC5btbE0opFi5ajG3bBDrw6hV4d4GnpNuMsv4LjJkPuGa1lYFQCXLAVPcjmyN8QoNMEtVrNNbuF0Jx37bhjZ3O7bi18bWzMb54zMu5b0VIiTKj7lx22T4g52+SqZYWMWf+AoCq0VVVPhH+N1PQAU0IoTKZzHBN1wcvWb5CzJwzR9O6bB8VxBMJ1EbsPk3T2rqz8oRB13XW19WzdPlKYpFo1xNC2y8OaVlcf+sdbk6dbWfC56OQWe4L2k7jxnYibNxWCAQC3asjEF1MXfEETlvxPvq8Z9ypLdLu9Nt0G5rmFteU9MPa7TxUyaCCY5Pazh1GW\\u002fw6+uLXt14k3o8TBMIQKOqUYgNvTl86IxYuWaqAUl3X+\\u002fhXsOUL2DzsKIIuAKSUY4HS1956x2mqqxeBQoLu\\u002fXdTc3OX\\u002fp2v9YqKitppC7fZxSTe2MjcefOprKjoJOgFfV4pCRXFeOutd3nptTdzefBtDdt2SHsjl334Zx0xbAhGUee58NsCmxZwL90UKkbWTM5Lm+WrOMAIos9\\u002fHm3F+1sucP4klVhv7N3OQZUO8oS9gBugAD2APvdJtA1z3WmvWyzsnuluRlA5073zaTEMsXL1agcQ4XC4T6c3fUXYUQRdApimuTvAJzM+9\\u002fLEBerQAYRGXX19lyOKfGrjyvJyKMByipTM\\u002fGI2wWCg04TQrqeOKITQ+PVfbiSRSOZqv7cldF2noTmOk8cC45vqQwcNpE+NOzhyS\\u002fzwrQLlscm0rgMj4M4rs5MdFJzK1a4bsx9xSR+3lDzCF\\u002fZoJdZu56BK+ndhxrupMOwM+sz7IdXoVuVtKf+ckqAHIRAreCwlJZgGK9esBSAQCPim+1deOLNDCLoQQl599dWaYRj7WLbNR5\\u002fN0AiHvZr0ztA0jVQqTWNTU8Fecr8ppaqysuAYHS0c5tMZs0gkUmAYboGH51Mdst++ZDIZd1JLu88pgtEIMz76mL\\u002fefHu78tBtAS+cQEtrvF0Bi3\\u002feAf36UtO7CpXtRufYVwFPY2vL30NWjMAZcRhkk+1Nc6XcdFq6GePzBz06pi0MkPm59mgv7F3PcsksnExnl8ATStG0AmP2412X1G7eyQGFCsQKug1+Ln3duvXCu8S+3ktfecvqdhd0PwJ58cUXDwDGLVu5is\\u002fnLiAQDHZZiaZpgkwmQ11DgyvoHd\\u002fg+ZO9KivQPe7yfBi6TkNjIx9\\u002f9hnhcBhHSnfzSCQ47MD9OOuUk0jX12MYRjulpKRDIBblun\\u002feyswv5uaKXbYJvGt3pKSxpdV7ymtZ9VhmRg0f6umGba8gNi2LKmfCGwtewBl7FHLAHp6w591m0ouGr5\\u002fr+uv6pgOim4RXI6+K+2JPORMVKimcevNSftrKD9CWv7N1immUdKPuQqPj76AATdepa2wklUkDVAFsj1LY7S7oeGuIRCJTgOD70z9RVjolujJH\\u002fYh6MpViQ10dhtE5\\u002faYJgWVb9KqspKy0NEdO0RGfzfo897ymaahMlnc\\u002f\\u002fJib\\u002f\\u002fx7jjrhGJLeTDTfhXCbpUziLS1c\\u002fPOrSaXSW63ZpSsIIWhoaun4JACTJ06ADjXp2wqm2Q0NqBQYIUTDYrTaOdg7n4bqNapzoMxrbtGXvI7YMAfMrcD\\u002fJnQ3QFc2xC3KMUKFS2zdWmj0uU8gWlZ5+fUt+AKVcmv6hd5pv\\u002fUty\\u002frGRtHaGgfoc\\u002fXVV28XmdthBB20cQAzPp8tNzVJUNc07GSSVavWuEwtBX6orGVR06cP5WVlbZxxHeA4Dpbn5yulIGDy0YxZtMbjPHrXbVxwwTmkWlvJZm0Mj4BBOg7hWIw3X3uTn\\u002f\\u002fuTzm+9W0F0zBojifaFcf4VzJ54vic9bKt4JcOx6Kx7p1HCHBstFXT3S60Sad45nR7fjX\\u002ffcacJyCb6mYufVPn9oS99zjsnU7y7ouO1RYKNBORakaf8xRbbkV7Zbf+3x2XJAR2xqKuoRGgYuzYsQa0WbJfFXYEQZcAQqiRAJ\\u002fPna8KBtA6QghWrVlD2mtQaf+SQDpuSWm\\u002fvjUbTaG1kVVIguEwS5cuY\\u002fqnn6HrOv\\u002f88++47R\\u002fXU1FeSrKxqV1BS7CkmL\\u002fdcgf\\u002fffQJt25+Ew0yXxZB0yQeTxJPprx1trWsDh04gMpeFV9qFlt34NNQ9+7VC6CbG5oXmGtajmhZjSrtj73T972W1PaNSRhBRP1i9MWvukGtrZL20iCbQPbfHWf04V6LawF\\u002f3QyhrfkUbcWHWx6F9yipN7YqjwewmH79tgv5xHYVdI8E0lmwYEHQNM1BWcti1dp1mh8g6wj\\u002fZpZKIQIBli5fTktra8GAHLj+7fgxoztF1guvxY1y2\\u002fE47374MUq5Gv\\u002fsU07i7Wcf45RTvo9SilRzC5lMFtMwCAYCXPzTXzL9s5kYhrFN\\u002fHXD1JFKdjbfgfLSUsaOHIGdyWzWbLjuwu9BLysrRdNE9zjkvYCbaF0HyTq3nbNqLPbIb3fmQvdKVfXFr7tTVI0CrLRfbuFgp3BGfBs5YHc3TlDoHhA6xvxnIbGhQ298t0+UyzhsvAZG0dzaAlA0vqxsK1ftdA\\u002fbW6MLgMrKympgwLIVq6irq0czzYKBOCtPa+q6zvoNdSRTnTU6eDeplIwbPRqjm00dUkpEOMKLr7+JVG65q+M4jBw2lHtuuoG3n32MM07\\u002fAX16VxHfUEcmk6G+rp4TTj+HBYuXdrnhbAn8IYsbGppy1+WTVwSDAcaMHA7+iOVtASmJxaKYpumbXt34kADloDWtcv+2U8jhB6FqJnX21zUDMq0ul9xWg7dGJbEnnODSM1sdSmX9DEB8PfqiVzxh\\u002fXK\\u002fndqIRnfZh3G5EUAPV1TEvtRJthA7hKADpUDV6rVraWppEUaHwI9S7jzxoYMGtTGSCkHWsgpOA\\u002fVh2TbV1b0ZOnhQt\\u002fLNUkr0gMnseQuYt3BR7jx+V9iuk3fizhuv4+3nHuOWW\\u002f7GUUd8mz59+7Js2XIOOvb7zPTon7aOsLvXpOs6uqaRSKVJpNLe8dvM6DEjR7jtktvATXfJN8IUx4qwrK7qCwrBjcCL+Fr3b+U2gNjjjkVFKtwgmWgTRowQ2upP0GrnbD2t7tFWEYhiTzrZLWrJP69\\u002fbj2EvvxdRP2iL9nlpryc\\u002fMY1esr97bSAYWyFNMPmY3sLOgA2lAB6bX29Y7fGhaEV4FnXdfacuqtHfeQJeiaDI50umtTcYQPlZWVMGDsWtZGe7PznTUMn1dLCk8+5GsafDIMn8I7jMGTgAM499WSeuOcOZr\\u002fzKv978SnOOuV7zPpi7tbzlb3DmB4PfSabzTPf2\\u002fz00SOGEy7rOrPwpU\\u002fvfX8lJcUUFcVojcdz02S6ewEiWY\\u002fP7IOTRRXX4Iw4xE19tT8ZOBbaopc9YdxaF+Hm2FX5UJzRRxfkd0NzU3P6ghfd6rYv8x16hBcbswi8IRciommb7qTaBtghBD0cClUDrF1bC07nL9vngCstLaWqV6\\u002fcOGTbcchmM52YUtpBKSZNHE8gGvWCVp3fYlmdKZVeevMt0ulMbqySoG0IYv7U0\\u002fKyUvaZuitXXXIhPzj+mNx6txT+EXRd97IC5PLpPn00wLhRIyjzxlJtbUjHoaS4mOKiIpKJxGZW4AlIt5K7+YUGVgo5cE9k9TgvSObTfHnBsQ3zELWzty5ZhN\\u002fxNnhvZL9d3Qh\\u002fpzhBEK12tmtR6KHNtyik43dMFX5d5e4xobUJ+jcu6o5pGH0B1tWub0\\u002fm6MHviy4rLqFvn2pUNpvr7mpsau5SsDRNI5lOs9P48fTpU+192W3vVUqh6RqDBw7I3cRSKgKxGB9\\u002f\\u002fAmz583Lme4dj+tzqinl0kHZeTTSWxO64a7L0DUam1rIZtv34feu6kW\\u002fmmrUl5iXvkk4DtW9e7sbTYHsxkYhAGm1b\\u002fZQCvQAzqgjvcYWp\\u002f0HlERf+pZX7LKVr0VJ7LHHQFF1gVSfS26hL34dpP9a9y0X11LY+Pv9eyj7FQu4j+0t6ArA1PVSgNZ4vMsfWDkOsViEAf37uxNAPUGv8zjWujIpleNQXFzE1Cm7oDrUxhuGTqa5hSmTJrL31F3JtnrkjJog1RrnwSeeBrrW0C7TlERoGobnS29tGLrutocIl8+tOR73Lkzlbp5J48d1qwtvc5Bjne3flxbPkug23IYEV1vmF60I4damVwxF9t\\u002fdHeSQr9X1INqGuR4F1Nby1cm5BsR6YY85svNxPYtCbJiDqP1is88tlL3JfcGj31amUr75+JVWx21vQfcRAkgk\\u002fDRI4e8gnc0ycthQRNDri1aKuobGjWoyv9157913J+SVw+YPesAwmD13Hj8++3TKe1eRzWQAgQiGeOzZF2loatpo9ZvuFew4UiK9mvn8x5YiN0LKW68fffevDWDShHEgt66P7p2Q\\u002fn1raG1t9QJ+vhm+qRoHb3VCdGZ6FW5E3hm6Hypc4Wp9kbcROFn0Fe+BVFtX9\\u002fmuQ78pyH67FGhrFSAl+rK3CracFobKFf5sVG6Fy3EIKCllZz\\u002fxK8COIuhhgJZkElcTFHqLoLm5hbGjRxHw2UcVbKir2+gNLoQgnU4zauRwxo0bSzaVypW0uo0qUWZ\\u002fNpOy0lJuvf6POOm0RyEVYvmSpTz9wiudzHc\\u002f9fefhx7lsWdfwJ+Cqnmpr\\u002fzHlkKAOwfdK5RpbnG72fyhkQDjR49EM7s7RKF7UEqhBwP0rqqiqaUFdP9WUW4+PLe6jUAz6Nw8IsDOoor6Igfu6QlJnmlvBF3e9+YVW16e2umi3Icz6ggIl7UPzikJhom2YaE7vNHYDF+9G6a76bIZKdu2sxt94zbCDiHomqYFwcuTi86z0Hx5qW9oom+fPvSrqfGimModoriRY\\u002fs0yZFQmP322QfRMXKs3BbGex54lOOOPIxfXnUlmZYWdM0V1Dvve5BMpo1a2f2I+2+vigqOPfUs9jv6RO74z\\u002f0sXrac5pZWMlmL1njCdUW2EEIIDG8clZ9ma4kn\\u002fFcB6FfTh74D+m\\u002feRNVNnNOyLHpXVxOLxqirr3dr6qU7LFFVDnff2DFdlQ+l3EEKBZo9XJ84gzNob4iU55n3yt0YMq1oaz4tsEls8YV50f++OEP26zzjTehgJdBXfIjLQ9+tgyLslMcwU+gDrtYvikYB7MbGxi2\\u002fKb4EdghBx\\u002ftKjS7NdvcmaGxqJBwOM2HcWJxMBmEYNDY109zSgqZ3zr370HWdZCrFPnvszoABA8hm2thhlVKIYIDnX3+D9XX1\\u002fObKS\\u002fnZlZcSr28kEAnz7gfTee3td12t7h3T98UPPWAae07djTeef4mzL7mCcXvtz16HH8OhJ\\u002fyAfY88lv2P+R6Nzc2d1rO5X4yh6ygvpWbZdi767lsm1b2rGDpwAHIrtawKIZBZi5re1RTFomyor0c33DlnKlSCtdt5WFPOgkDE1chd3eCh4q5PIh2IViL779a+TNUrZNFXfwrp5m5VNW4e3FSfM3gfd6RSfrWeN7xRWzcD4us96qlN\\u002fG5CQCbeZZbA\\u002f9lLi4sAknV1dd9o0z0Lvr\\u002fbxUaqFM0tzQQCAcaNHoWmucGvltZW6hoaMDtoarfFtO1IjuNQVlrCoQfsh7SyuY1BKUUwGGTN8pU8\\u002fcLLKOD3v\\u002fgpf\\u002f7jb5C2g0ok+Oedd7u+fd5yvLwoZ5\\u002fyPYxImGg0hpSK2XPm8cYbb\\u002fHZ51\\u002fw0Xsf8PATzwB8eUYar74e3FtO1zTq8qrkbNsmYJoMGzIYtlIuXXh+Z9+aPgSDIRob\\u002fb5\\u002f6U5AERqq3xTsSae6wiC90UttRwAFMtrLFaKuLl1JnH5TPTPaz4go95iJ9S4bTIGRR1t2cbgWRLAYZ9hBuK0WeQvUDEi3oK+b2Y2yWM8CseIUIofMP2lJcTFA80dNTV95LzrsOIKeAgiY3g7axffV3NxKOp1m5IjhVPXpjeNImpubqatryJW5+t1Wq9esJZs3ztevpNvvW\\u002ftS3a9vOzPXDbZJ7n\\u002f8KWzLQinFFT86lyfv+zfjJ0\\u002fihUef5KEnnmnXf+7n14857FBGTxhHKh5H1zRCoRChWJRIOIwIBLnt3gdw6X6\\u002ffJdZfoeepmnEE0mSqfbjpCaMGUWh0VVfBlJKME0GDxxAY2Mj0m+akRIViLo0UOlmZN\\u002fJyMH7FCZ6QLpda12lqoRwi1lK+yF7j2ufUvPSXVrtF6C6muayBfAKaWTNZFT5sA41+K6pra35LI9htqvfzc0siGxyI+8BBKpXZSXAhoYPP3QT6l9xT\\u002foOIeiO4zQB7q4nuyg80HSaW1vYUF\\u002fH4AEDGDpoEKBIxePUrl+PX03na+iZs2fzyhtvEAmHc91dmWyWfjV9OOzAA3GybRlNx3EIFhXxxv\\u002fe5uU338r5qIfu\\u002fy3efflpfvHrn\\u002fPECy\\u002fSGo\\u002fntKsfoIvFopx76veRloXynvMLaoKRMDM+ncELr71RMB\\u002ffXRgdyDUsx6GusTm3DoCJY8cQCIXa0U59WSilMAIBhgwaxLr16\\u002fNfcUkWdK\\u002fk087iDJlWILDl5stVrHfHQ3eAG1CU\\u002fXdrrz39zrb1cyBZv+khD1\\u002fqIl3SSGfotPabkcJtymlehWhctvFUm7dZuaOmOscTBCAdSVFREaUlxQAbrrnmmm+kRhcAlmU1AlSWlYF0Oom5W9ii09LSSn29OxJ46hRvwo0QrFi1iqxttaWhpKQoFuOxp59jfV1dbqyvJgSZdIZDDzqA6n59sTJ5Gh8QCq694Z9ksll03cC2bYqiUX571ZXc9KdrO3G6+wG67x97NGMnTiCbTLZLhQlAKcmtd9+bI8zYHPi3l6G3kRq4zTqKxmbfT\\u002fcq5EaPpCgWRcotL5xxG2aCDB40kNoNG9peEDoqWOLVrgtQNiraC6fPxLbAlhAgLVSkFypcspH5auSKamTZELfxJGcZuAFSkW5Cq19IIVKHLYbHNyf77IQqH+Jp9byAYDbunju30I7w3menENlE4bSwENiOTUV5mYqEwwDrga+8Fx22v6ADIKVcDVBRUaa6il7qukZLSwuNTU2Ay65SVlYKCJavWkk2m0V443ltx6FvTR9WrFjBI08+TTgUyuXPs5ZFTXU13z3icJy8AhopJcFohA\\u002fe\\u002fYCHnngazYu6K6WwHYdeFRV4P1YOvpYuKS7msgvORnVoU3WkJBCJ8Obb7\\u002fHG2+9tvlb3g39eMM59SqHrGs3xOOm8jaqstJhRw4fh2Ftm6vpZij69qygpLmbDhjpQCuETLAZLyDGeehkLWTUOkcuXe8UpRdUQrvCCdV2ezQ3KBWPIPpPIjVlu+wJc832zKtU2A15DjTNwr\\u002fY+tmeRaOtmeeZ7gQtQgKYhsnHINBfMEPhtvlW9KpXpEpes8l\\u002fa+hezcewQgp6y7VqAvtXVGgUaWny\\u002fOxWPU9\\u002fQgJSSPtXV7LrzZLCyLFu+knQm4wmnK7RlpaXEimI8+fQzzPriCyJesYxPQ\\u002fXtgw9i6PBhZPKaXZRSaKbBH\\u002f9+M63xttrujTVz+K2pJ333KHbZdRfSySS63va1GrqOk0pz893\\u002f+fKmu9H+Z3KvIU1Lwk2zuZuYxsRxYyBrFWTP7S6EECjbYcigQQSDATbU17eZrpru8rHl6rrddBXFfd2pK36zitCQZQM9PriN1IC7bwYni+w9xp1M2s4C0Fy22GRD9yLgm3+x7rmrx7sMsvkWhdARLWsQrbVdnFsBOmSTiFRzwSkwQgiwbfpW9\\u002fFfWJG7sK8Y21vQFYDKZhuBln41NVqgtEQVYkzxg0ErV68ma1kEAiZTd9kFPRymrqGB1avX5ARSSkk0HKa6VxWJ5mb+edu\\u002fSCaTOaF0HIfS4mK+f\\u002fxx7RhblFIEw2HmzvqCG++4q50G3pg5LJUiGAhwzU8uRdd0lGw7piMlZlGMF15+jRmzv8hpzM1Bx1nloBAI6hpcP91f44Qxo8HesqEO7s1pMWjgAIKBAPUNDblzoumuOe6PCfZKS1W0lyvofnOHGUJWjmpf9db1CV1Tv6gGWdK\\u002frXvNJ7BIrEdrWbF1S2LbTu6uMVzmjmXO34g1N9evNSzqeuKrEIh0c5djoYQQkM2q\\u002fn2rDYBEOr3Oe+krDcTB9hd0AJLJ5Hpg1aCB\\u002fakoK1GW1bkTSykFpsmiJUuxLIt0Os2uO09m0ODBZONxFixejOGWGbrBJNOkT3U1Ihhk9uzZ\\u002fOeBh9qZ8IlUiml77cnee0wlndeZJaXEiIT5+823M3\\u002fR4ly32sageRvCoQdM49ijjyDd0trOVzd0nWRzK7f8+952nWfdhaHp7eTFd5Ebm1pytfYAI4YOxizZspZVKSVaMMjA\\u002fv1JJJLE457\\u002fqTyf1PfR230BOrJ0gHuzSxsV640q6btx\\u002fzwfChA6smZS+\\u002fJToYGVRjSt3LoptvaLd7V63529GWr+edxNTDQs7WKDEYBExNd3uZkprw9\\u002fyKCBAmhJtLSs3UYXsUlsV0EXQkillDZwwIAmYGmfql707tVLqgIzxZRSaIbBoiVLSafTKAXFxcUcfvCBqESCxUuX5VJeUkqCgQAD+vdFZS3CkQgPP\\u002fkUb733PsVFRTkiCU3XOfWk7xEtbpt4opTCDATYULueX\\u002fzhuu5eR+6z1\\u002fzkUsqqemFn2\\u002fv\\u002fRjTM48+8wILFSzbbV9d0zS3SybvhNE0jncnQ1BrPFfAMHTyIvjXVnQZbdFfo\\u002fbx8aVkpfftUU9\\u002fYSDrtETcqb86YEcTNPfvHdCPnbipNA5l102VmeDMbbRSqfCgEi\\u002fLy8p5Wb1jSmYZqa0G4cQIV643sNTLvPN65W9dCqqHzwAcBSIVoXlkwBedbblospkYNHwZQu2bNmuXey988XndARwiVzWZnCSEYOWyIKBSQ8zVjQ2Mji5ctwzRNstks++y5ByX9+7NoyRKaW1z+OKkUhmkwaMBAAISmoaTkL\\u002f+4ibkLFhKJRFBSujXwI0ZwwjFHYaVSOU3rOA6h4mIef\\u002fwZ7nvkiW7xt\\u002fsR+JHDh\\u002fLzy36MlWofgTfNAA3rarnrvodyz3X7C9I09xrynhNCkLXtXPRdSkm\\u002fPtX0qa6CDhVy3XUVBODYNmWlZfTr25eGhkZS6QyarrnFMuEST+g7flK5zDHeQEXZaww5Qe3WiV1fWUV7uea77ysrt3hGa1oBVnLbCDq469YCyD6T23x0hcsWG69FpJugE9uwcBuJWld3qdFtx6GoKKZGjxgGsH7SpElNSintm8rrLgGUUh8BTN15sl4oIAeuiZxNp5k9Zy7BYJB0Ok2f3tUcfsghLF66jPr6egIBl6nHtm369qmmqKzU8+kD1NfV8Ye\\u002f\\u002fpUNdXWEPDM+nU5z\\u002fNFHMXb8eNJ5wo5SCEPn57\\u002f7E2vW1XZrMouvqS8663T23GcvUq1teXcpJXokzH8ffYLaDXWbNelF1zX0vJvJ\\u002f5iuaTQ2t3hdc+5mM2b4cD\\u002fy4VrEmqCyvLx7Wt2Lg1T16kV5WRmNzc0kUynXYpDSTa2JDt1o7oogXO5q9pIBrmbOJ5boDrxBCKpsUPvjCw2sJKJl9VYee5wPATKLqhgG0SqveMc7dzaBSNTTXlS89F9iPSLTSqHqP7cAz6GspJj+NX0A5uS99JVjhxH0eDz+EZDeb589EaahCgmB0DRwJHPmzSOdTqPrOulMmmOPOpyAabJo6dLcdJVs1qJvTR8qKspxPG65cCTCooWL+d2f\\u002f0pLSwvhcJisZRGNRjn3jNNc4fcCgVIpAqEQKxYv5WfX\\u002fjEnxBu7zVxhEpimyQ2\\u002f\\u002fRWxkiLsPN54MxBg9dLl\\u002fOehRzfLfNd1LWdWu5TTmud+QHNLglQqk4v0T5owDgwdITTsZIrxo0dx3JGHYXWnDt7dLRgyZCCaJmiNt5JKptB80z1U0lnYBJ5ZH0IFi5A1E7\\u002fkQAa37FZVDGtP\\u002fewF67SW1dsm8u6fwwsqyrKBneIEomVV+9Sfl34TrWsgmyi8+QkBjsPI4UOFEEI5jvOR98pXrs1hxxB0ACoqKlYDn44cNoyRw4aqbAFmUykleijI\\u002fIWLWb12LaFQiEwmQ3VVb0467lg+nTkLaPM1KysqGNivH8oTXsdxCEVjfPrpZ\\u002fzyd3+gobGRWDRCS2srkydO4MRjjyGbTue1sUpCJcX8576HuO8Rl79dbtKEd88zZdJEfn7pj7ESyXbBNy1gctf9D9PikVx0NXbKhV\\u002fMIwgGTIYO7MeuE8ewx+RxjB81jIqyYjJWlsbmltwndp44PqdJlZXliIMOYN+9dkduhDPPh\\u002fLONmzQYABaW+OoTNqzPqQbiCt0Uyvcm7+kL7LPxC\\u002fHECMAZSNLB3bgWfeCYi2rN+94mw3XZJfV4\\u002fPy9m7UU7Su8f7u8InGZW7nWqGIO4B0mDJpogBEOp3+ZBtfwEax3QVdCKGUUroQQlmW9WwwYLLvnlOlSqYKdqSZpknd+vXMW7AQXXdJGRLJJIcfejDZbJYNG+owXTYPlFLsNGE85JnJUjqEi2LMnDGTq35zLcuWr6SkuJh4IsFJxx7L5J13JpVI5gJ7AIYZ4Iqrr2XxsuXdonT2p7dcet5ZTDtwGqmWFnTDjd4HI2EWzJ7Do888l9P0XX837r+BgMlOY0cwfFB\\u002fiqIRQsEg1ZXlTB47kn59erOurj73mUED+lPVq5J0OkOovIzvH3c0FWVlUGB0VUcopQiGggweOBDLsmhqas4tQiiFChUVNscFCGnjDNzTI5P4MkU7rttAIIoqrnG1qv8FaDoiWde19twacOtVUWVD3emosm2jcUku\\u002ff9WOYpqrXEZqquprK4bpKZO2VkA61asWLG87QBfPba7oOejtbX1LSDz7QP2041oxKvyKgCh8da77+dSZVJKIuEwRx95ODLPZPQHOPglsLnnHYdwNMrcefO57Kpf8vZ77xOJRIhEwpx\\u002f5umUlpXmRjVJKTFDQdauWsXFP78ay7ZzUfuu4GvOYCDA7X\\u002f5I9U1NVipjKcZQRoGN9\\u002f1HyzL6hb9lGkYREKhduf0S2rHDR9MJBwinnAnuZSVlDBu9EhUUxMH7LMXQwcNpFdF+SbbPXOxL2\\u002fWnGXb1DU0uLlzKd1oeyBWwEf2otbBImT1BLboPvYGOsiyQe171DUdkWpy\\u002feFtOSJaOqhQkVs8I7OAV9KbTXr17J4vLjREuslN+xUgx\\u002fArMEuqqpxddpoIMP3qq69u8gaWfKMFXSqlRHl5+cfAnEMPmMaAgQOcbLZwmk03Db6YN5fVa9b6XFxYlsWIIUMoKS7G8TYAx3HoXdU7p6HaRaKlJBQOU9\\u002fQwK9+9wduuuNf1Dc2svNOEznvzB\\u002fmutjAjUSHS0p49rkX+evNt3cvt+5F6ocNGcQ\\u002f\\u002fnwtjpJtTTfhEJ98OoOnXng5t5ZNQdE5TSaVQmgaA7yUmtvQE2DMqBEoO8Mpx38XpRRFsSglxcUb5cBXCnRdkEom+XyOOyk2k8nmfHCMkNu5prpwXYTmarotDZZpBqqops0eUIAwINXUptG3iagI99oCMWTpII+NGFeonWxb9Zu38Wjr53p0VJ2\\u002fT00TOKkUY0aNoHdlBcAnjzzyiEOhzpevCDuEoHu7nCaEyFiW9bBpGOKYIw4VKpPNFYP48M33hg0beH\\u002f6R+2KYDLZbLtKNsuyKC8vZdLECahM5wEOUkpM00QIwYMPPcIlP7uKR554im8feACnnHwSVp5fK6WDGYnw6z\\u002f8hdfffi83xWVj8N9z7BHf5rIfnUumuSVHPikch5vv\\u002fi\\u002fZrLVJEx7aG8JuwYxwqauAWCRMNBzCtt31DOhbQ\\u002fXosRy8374IIYhGo\\u002fTpXYW1yao513z+6NPPiIRCjBox3M0+aDrCSrpVYFtjGOLGIB1UpAIVLGpjifUj76nGgjnrrQqlUKX9PZZamQvUkY170XUF0nHr4Lss7xVg22rnCeN0wG5uTkz3j77tFr5x7BCC7kEB1NcnHgQSZ3zvBC1aXqq6rvISvPvBh+5gAU+rF3qfUu7U0UAsWpD73BewUDTKkqXL+P1frueCy39CRXkZgwYNyhWfuBpPJ5vNcu5lP6V2Q123\\u002fXVHSn5z5WXsu9++pFpaAEEgVsT\\u002f3nqHtz\\u002f40K2s2wxNKAS0xBMsWbmG5avWkkilCAYDuSDiyGFD+eH3T6C4qAiAWDRC716VYHcjn67rLF22nDXrahk\\u002fZhSlFRVkbRuUg6hfvBnEiV8GXjlspAIVKgaV1xAjBCLVwKZr57f0\\u002fDaqqNqlwfIbXZQDMuOe2wi6AySblndZGus4EhGJcPB+3xLAhsbGDR94L22XFlXYgQTdr5Krri5dLqV8dPSIYRx24P7Sisc7+bFSSgLhMDNnf8HcBQsJBAIFBUXTNNLpNOPHjqVP7+ouS0OFd8xQKEQoFGLW57O54Z83U9fQ0G7+up+iWzh3Phf85Krcc5vy1wUQDoe47fo\\u002fUtOvL+lUGsPQkZbNP\\u002f51t7vWbkSp\\u002ffOsrt3A9JlzmL94OXMWLWX6zDmsWL0ul7PfY9dduOicM9pchUCA3lW9YBPc70opAoEA62prmT13HqNHjqRf3xqcbBphBN22TTu97fxkr0qNcFmHCjncf1NN2yiPnn9+GxWrQgWjXk2\\u002fuyZhuezACIG25hNItxRM97kuo01JcbGattceCvhg8ODB261QxscOI+gehBBCpdPpWwDrpxddoIVKSpRdwEQWQmBnMrzwyquuSd7FDeA4DkWxGLtMmogqIOhKKSRt9epSKULhMMFgiFQq1Ul32I5DuKSYxx57imuuu2Gz\\u002fPWRw4Zyzy03Egq4VX2BaISXX\\u002f8fH3zymXuDbOQ4fvNNayLFvMXL3VRhKOjVAtjMWbSUZavdUurK8jJ6VVS0y9VXV1VukmrK7xLMtMaZt2ABoWCQ8WPGghIooSPitRDfsO0i3+4qXE0ZKss7h5fmSnsafVuWnHg5cqK9yXXpKQdhp93ceWID+srpXpNN599L0zScTIbdd91ZRSNhATzn9Z9vl0KZ3Lq258k7QgjhKKW0aDT6IVI+PWn8WHHCUUeobEsrhtE51WYEAkz\\u002f6GMWL11KqENUuiP23mN3jGCwneZXSqEbOpoQpDNZl+CBNi3dVfOJIyXBohi\\u002f\\u002ffMNPPHsi64vvglh9\\u002f31A\\u002fbZiz9fezVWKkXANEk1N3PbPfe5fvfGvxwAVq9bTzabJRaNkkwmaWxsJBaJoBs6i5atoqU17tX7e1aId729q6q6pQ2VckdSz\\u002fx8Nq2JBLtN2Rmh67j57Ax6\\u002fYKuu7m2FpRCxnp18sdFumXbnrftTMjimjaN7liuJWOG0ec9n9c2W+CTXsfa0YcerAMtq1fXveNp8u2mzWEHE\\u002fR8JFKpa4HE1VdcTHW\\u002fvjKbbl\\u002fw4Qt6w4Y6Xnz19XZ573xomkYmnWbMqJGMGz3a43XP6yzTNH505mn071tDsrERwxtquCn4vO1nXvITPp8zD93zxTcGTXOF\\u002fYIzTuHH559DvL6BUGkpjz79HPMXLdpotZzvXmyobyQSifLBxx9zxS+u5pKfXsUTzz5LKBjCtm2Wrlrndci1FdsA9O7VC0Kb5pSTUqKZBvMWLmJDXR1DBw2kb00fLMdBkw6icSmdCSK2JoRbaRep7HAO4QbEtqmPDr71oMLltNW8G4jVn2BMvx1t1XQvpVZImwsymQwlffo4hx64P8CHd9wxe7GXVttu\\u002fjnsgILu+ep6LBabYdvytsEDB2gXn3+WstOdK7uUlBjhEC+\\u002f9jqr16wjEAgU3DZtxyEWi7HPHru3O4ZpmsTrG8lks7z7\\u002fBMceOhBJJubSafSbn253nWEWUqJGQzSUFfPSedeSH1jY5ebTdu1tRXTXPfrqzj8O4eRbm0l3tyca2HdGFoTKXTDYOHiRVzzhz8zd948lq9ezY3\\u002fvIX3p08nGo1S19jUjjjSP2R1r0rMSHijKTYfuleE9NnMWfSuqmLc6FHIVAphBBDNq12NtgXzxLsDFS7zkvt5F+Jk3Rr6bQ6BipTnegbQg2iNy9AWveKuo4vvTyBw0hl2njBO69enNxnLeuWaa6bZbMe0mo8dTtA9SIBUKvEHoOHUE4\\u002fTy6oqld0hmKSUwjAM6jds4LmXXnaDcgX8eU3TSKXS7L3n7pRXVmB5vqqUEiMW5e77H8K2bZ5\\u002f4B7+ffs\\u002fGT92FKnmVlKtrWhebXkhLe84DpGiKLNnfM45l\\u002fwUx3FyAbCu4K8\\u002fEDC579a\\u002fs8fuUyGT5fFnX2Dp8pUFtbp\\u002fPMu2aY3HufmOO2ltaSESixEOhXCk5N4HHyaTzeA4Dg1eSWw+qUbvql5EPaLMTUHTNGQ6zYzPZxMJhxkzaiTCNJCagda6xu3B3ho58y6hIFjaVoqqwC\\u002fMaRultK3O7VoUBGIQ8EtxvWo4M7zJT4NSJx59pAakGuvrH\\u002fWe3DymkW2AHVLQvbJYrbi4uE7CU9VVvTjwW\\u002ftIOx7vJHC+Cf\\u002fcyy+zfMWKgr66HwntXVXF3nvsjuOZ735OPt7YxDXX3YBhGJx24nG8\\u002f8JT3HHTDey7z95ksllSza25zjZD173RS+6xbdsLzj36BFdc\\u002fbvccTcm7L5WLy4q4sE7b2b0ThNYNXsO9z32hJvK6+Jzpmny8utv8NmnnxGKRLC9Kr1AKMS8BQuZM3cehmnS0prIXbdv5lZXVREOh7vfB+\\u002f1\\u002fq9as5bJEydQXFKCZTtua2bjkm0qZ\\u002f4gBcwI+RNThJKIHP\\u002f7tkTe+XNccmqjjToCl523pLJCHvudwwFe69Onz9LtWQ2Xjx1S0D1oSinR3NLyOCCPPuxQoRVIo\\u002flsMvXr1\\u002fPks89jGkbBVJvPynrQtGlEvXnivvYMRGM8\\u002fPiTvP3BdJeGKhrmzB98j1ceu5\\u002fXnniI00\\u002f9PkOHDCadTJJsaCCdyeTmn\\u002fnzy2PlZdzwj1u4\\u002fpY7crnzjV6cJ+z9a\\u002frw31v\\u002fTtXQIdxy5z00e1ZEoY2irr6BR59+Bs0r6RVC5DjvnEyGV994E9MwSKbSuc\\u002f7G1JVrwq3jLbDIIpCUEphBoMsW76cZStWMHTIYAb064e0bYSmo2+Y5wrA5jaubAaUpqOMSJvV4KfefLbWbSk6SqF0A6V79FXduExd17FbWzn8wAMoKykm62Qf9qyp7W62w44t6A5AWXHxG8D8Iw8+QBsybLCTTacLlsUaoRAvvPIqcxcuyFXL5cMnhRw3ZjS7TJ6ElU7nKtJ0QyOVTHH1H\\u002f+Kbds4jsS2bUzTYNpeu3PXP\\u002f7K+y88yVMP3MPll1\\u002fMzjtNIBwKYVkWqaYmkvUNxFvjaMEAV\\u002f7qtzzy9HMYm5F2mzxhHI\\u002fc+y82bKjntn\\u002f\\u002ft5P57pvbr\\u002f3vLVYsXkLQE3THcRgzagS67loR8xctpr6+Hum9BuSuMWCaVFaUb2RGWPvvU9c0Uq2tzFuwENMwmDJ5J7Bt0A1E61q3eGVbpdk8wgkC4fa5dCW7x0O3JRD++QPd5qkTQmBLiREKydNOOkEHln++aOkL3ma7XYNwPnZYQc8ri01kMtYDkUiY73\\u002f3KFQ6XdB8N02T1qZm7nv4Uf\\u002fzhY8LHH34YRh5m4HjSMJFMd54\\u002fU3+edc9npZuo6VyHIdelRUcefABXHfNL\\u002fjgxaeY+b+XeOCOm\\u002fjZlZdxzPHHsNuuu9C\\u002fbx8kcPypZ\\u002fH0Cy\\u002fntPbGoOs6tu2wz9RdefCuW7j\\u002f8adobGpuV3XnlwEP7FeDGY6gBGTjCc49\\u002fQd89vqL3H79n4hEoyxfspSVq9eg6YUtin41NZsnl4bBR599ilIwYdxYjEAAhTsEUTQu3UaEjZDziY0wedE49++vJL3m5fKNIN2J8gsgm04zYtRIdcA+ewA8tcuoUXVeV2aPoHcDCqCxMXEv0HrSscdoZVW9VLZAzbbjOASjEd565z3e+3A6kUikU+BJ0zRS6TQTx49jz912JeuzpwBKKsxwmN9ddyOz587LaUlN03L0VLbjuAE8w2DwwAEc\\u002f53D+f0vruSxf9\\u002fGa088wJtPP8onb7zA8w\\u002f\\u002fNzciqjvMLoahYzsOxxx+KD8+63Se9JpdfEH3o\\u002fkHTduXvXbflUxzCzX9+3L5+ecQCJic9N2juODsM8g0NLJ4yRIcp32MwP+7X001qE2b7v5nhK6zaPFSatevZ9CAAQwYOIBsNovmZBANy7aR0HltdELrnK9Xio3PONtK8IN\\u002fdF2IlQ+haZDJcvYPvqcBdmM8fmf+kXYE7NCC7pfF9ulTtsy25ZMjhg4WBx+4n2PHkwWj4EIIpO1w9\\u002f0P0NzSilmgB9uN1Ot894gjCITDuWGJ0s\\u002fL19Vx2dW\\u002fa0cWCW7lnJ9jV97zvokvpSQaiTCofz92GjeWQw\\u002fcj28fMC2Xa+8OfFP\\u002fjO+fwIQxI7Fsu901So9C+sIzT0PFE+y6y2QG9KvB8Yp7fvKjc6kYMpiZX3yBlIWDvP1q+vgdMd1ak2kYNDY1MePz2Qzq358RQwajLAthBNAal3qNHtuqP1ygtC5ILrY1cqm8wqQS+dA0jWwmQ\\u002fWA\\u002fs6p3zteAM\\u002fd+Je\\u002fzPZKXncIbQ47uKB7EAApK3M7YF909g\\u002f1QCyqCqWJXGKHEPPnzuXRJ58qGIHXNI1kMsVOE8czbZ+9sTxKKmgjhXz5pVe5\\u002fd4HujS9BeQonQzDyEXapZQ4nqm\\u002fOeSP+WtTSrHzxAm5Kr2214Sn1fdhxC6TGTF0sOt\\u002fe2W7lRXlnH3K9\\u002fhs1mxsx0bk3aD+UvrV9PFm220afjlsNh5n7vz5CE0wYfw4tICJFAaieSUi1eSl2Tb7UjcNodFp+olbiMC27V7D7X\\u002fPtCASdZtMI2qAk0yqE485UistLlIticQd3ny17Vry2hE7vKB7ZbGiOBJ5B3ht6s6TxLS991TZRKJgQYt0JEYozKNPPc28hQsJdSh79Y6JUooTjjmKktLSHK8bAEphBgNc\\u002fYe\\u002fsGT58m6Vt\\u002frHdFtQtVwk\\u002fkteb0GT3w\\u002fQRSMRzj7tZDwK4XZVfice8x2KohFWr15LwOO49y4KgJrq3qCJbpvcSrlTVectWMj6DfXsMmknotEotpQIJ+PSMG8TwfNM95yQef45WhcstFvz1BI0E23d55BpaetBLwABZB2HWGWluuS8swE+Xjhv3steSm27587zscMLugcNoKWl5UZAXnLumW5xjJQFrVDTMGhtbOTRJ59x6agKCHo6nWbksGEc8e1DsPIi+VJK9GCQDetqOf8nvySbdccMfRkN\\u002fWXR1SbhC\\u002fUPv38C+++9Z+69uudOTBgzml12msjS5cs9xpi81BRQWlJMuKQkR8yxKSgFZiDAvIULWb9hPb2rqhg5bCiOZSNQaBvmsU0VV8d6cgGIbViRpyQEIogN89wqOCO00U3RTanFOfnYoxjQt4\\u002fIZrN\\u002f2WWXXSx2QLna4RbUBaRXQPMq8M7+++yl7b3P3k4mbz5aPhzHIRAJ8+bbb\\u002fPFnLkF021CuAMQjj\\u002f6KIYMaz+DTToOoeIiXnr+Ja77561uHftmjlHaFhA5gS1hQL++7Z7zb8jDDtrPpYCiTdCF93dxURFVlRVYlt0tN90PRibiCWbPnUcsGmXyThPByiI0A9G6CnJkFFtR+BSeRvesBeE9KTSv9Jatv79Il0VHtKzB\\u002fPhfCCu5UWvFJzYpLi9zLj3\\u002fHAF89t577z3tdartML65j6+FoHupNiGEsBKJ9B8MQ+fnF5+v6QEz16XVEZqmk0okePTpZzqx1LjHdEtKK8rLOeV7JyBQ7VlcpCQQi3LtdX\\u002fjpTf+h2EYO4SwAwUr7\\u002fy177nrLhRHI53eL4SgvKyUSDiE2gzyCOGRyX386WfousbI4cMJFRVhK5c0UWtZVZA3bcuh8sx27z81HbUtzuVX4qUaMT76lzeTfePn0TQNK5Hk+yccK4YPGSSy2ex106ZNS+OmhHeYaLuPr4WgQ5uvHouFXwRe22\\u002fvPcVhhx7kZOLxToEr8HLr4TDvvvc+n8yYQaRA+aeuacSTSabtvRf7TZtGOs\\u002fvV8od2ZSxLc656AoWLV3WbX99W6NgNN\\u002fbzPr3reHYI7\\u002ftPaVhOw66rpNMpbjsF79h8aIlBAtYOJs4IUuWLWfN2rWMHjHc7WazbLRswh1JtLXVq1+00i57oFyzPUcFvZXO6RFSkm11NXnTCs9k30i5qxDYlkVpr0rnqssu1IDpv\\u002f\\u002f9e4\\u002fsqNocvkaC7kEDiKfT1wLZqy+7WESLipTVBUWUrmmkUin+88BDZDzOuE5brXLfe+YPTqZ3nz7tTXiPdWb58hX88KIrSKXTucj4jgb\\u002fto9Fo4wdOQIp3eo4Q9dZtmIlR3z\\u002fDP515z1gbF4vuZISMxBg7dq1zF+0hJrqakYMGeIJiImoW+imorb6uCSvtty\\u002fMKVcF0H3i1i2xilcIRfZBOb02xF1812uuE0Mn9B0HSseVz865wzRt7qaRCLzW69LbYfU5vA1E3RPq+tF4fCbUsrHJ08cp5160gnSao2jGwUi8FISikT49JPPeOHV14h6M9LzoWmCdDZL3741nHXaqZ0GAzqOQ7i4mLfefIsLrvwFSm66Q217Qinl5eDdOvzHnn2Bbx15HK+\\u002f9iaR0hLwRjV1+3iAYRgkW1qYM28+jpRM2Xln9zVh5OXTt+at5HWQOR0aWMzo1utc88x1kWnFmH4bYsM8txJvU0IuBOlkkiEjR8grLzxPA56PxULPKqU0dlBtDl8zQfegAOLx+NVA\\u002fKcXnS\\u002f6DRqgsulMwcCcTw\\u002f9wCOPsnqtm3bqKKR+\\u002f\\u002fVB+0\\u002fjsEMPIZNsn7rzhf3f\\u002f76Xq\\u002f90Q7eGLn6VUMrd1Pxec9MwWL12Hede9jOOP\\u002f0cVqxaQ7i4iEKUXJuD9evXk0qlGD1yBBUVFW703kqiNSzdym2rHk+bkyVPpbuz2beGya4c1zxP1GF8eBOibl6H6TAbgaahrCzX\\u002fOxyEYtEMo2NjT\\u002fPrXoH1ebwNRR0v1qupKRkQTabvaF\\u002f3xrt55ddpJx0pmDFl1LuzLM1q1dz53\\u002fuy01x6XRc3MGMZ512KsOGDyedbF99J5UiWFTEtX+6nlvv\\u002fi+GYWA7zlYxIn3qp82RE6X86jwHUN7gBY3Gpmb+evPt7HbQkdx2+52YgQDBUPBLb0y6rpOKJxg\\u002faRInn3gCCigvK6VPdW9sR7qc5w2L3XLVrWVSu3Q6nkvQllVQweIt71xT7jQY0bwC8\\u002f2\\u002fu\\u002fPPu6HJwf0u0i0t7H\\u002fA\\u002fs7Jxx6tAbeUl5fP3NGq4ArhayfoPq6++mqtpaXlOinlvHNO\\u002fb7Yd9reMu2NTe4It2IuwiuvvcbLb7xJtEAdvJ8uKS0p5rILLyBWVISTR6boWwGBcIgf\\u002f\\u002fSXPPbsC27Z6lbQ7D71k39PSymxHQfbtrFt\\u002f187V2vvfsavznOLc+YuWMRv\\u002fnIjuxxwGJf\\u002f7FesWVdLuLQUUJsXeMuDrmmkkklGjBjOL664jAH9+lJf38Bf\\u002fn4TCxYuIhAMIhFodQtcVtStUg7rRdqV4\\u002fK05SaVKgiVbNlxlQIzgrbmM8z3\\u002foFord1k4M2HrmlYlkUoGpU3XPt\\u002f7Z13mFT11cc\\u002ft0\\u002fZ2c4uHWEpAiqKBcHeX5PYew1YXls0akg0mhijMRp7F0vUNyY2okasEYMdsACiUpYiICxtd9ky7c6t7x\\u002f33tnZZZeiYATv53nm2UVn5t65O997zu+c8zvnOgFYtnjx4pv9ANwPns7N2w+coN2UIAjJlK7\\u002fOq5pr9z6h2vcw2ad6uqmKQidBMwEQQABHn3y\\u002f9hp2FCqu3Ujl2vv7ot+8G6XnYZz8fnn8pe77iEiSV7dtb8uFyQJ1zQZe8FlaE9O4GeHHYLlB702lyDttWDx16TTGYYPHYKqKJ513shrDcNg4ddLmfLBR\\u002fzn\\u002fY94f9rHNK1ZA1qEaCLRbqvqtyG4Fn379uX6a65mYP8d+HjGTO584EEW1S5Ajce9qLjr4FYOKsg5b4HvvSAgOCZCfu3vidSNVhSs0TfjOK7jLS0kCWnBG0jzJ4FtddnJdb3T8TdD4bruzTde5+w8dEfZsI2rBg4cuNb\\u002fHv5w1nFdsE3cjTojaKErCIJjGMZTiqKc+ac777V\\u002f\\u002f4c\\u002fSbHS0k7Xo6IkoafT7LfvPlz\\u002f26u6tHSu6xKLRrn34cd4\\u002fvnniSQS7Sy36N\\u002fdo6rK808+zJGHHITtp7E28zOAIFC3chWHHH8qrmWz5x4j6d2zB\\u002f369KK8pBRN8yoATcuicV0Tq1avYcHXS\\u002fhq3nyWLa8jk86AYSAXxVEUZaN95jcFSZLQs1m6d+\\u002fO7X+6gUE1A3j2xZd49Mm\\u002fkWxtJRovwjayIMrYw4\\u002fHrjnYm5W2RdJeLogKQroe5Z0\\u002f+ZF3ESwdc9\\u002fxuFVDwcxsevDPdTzX3EgifzURcdlH3l7zDbQIL0QUBeycwQ79+3P7jb9zjz7iMMEwrLs1TbnCD8C5P+S1ecA2K3SA4EKnUqmqWCz2qWVbfQ48+mRn2vRPxGhRUacWTRRF9HSac8b+nPPOPpNkJ+2pCp9746238+4773Yqdssw0KIRXnjyUY44aP9vZdltx0ESRZ7\\u002f1yuccsY5oCpgWl6TB0EARfHXq7b3xZQkkGVQFGRFzre2sreAwKFN5BXl5dz9l5vp1bMHdz3wEJNee8M7nqLiGGmIVWLtepY3ZtjK+q\\u002feEoEyF2QVoWkpynu3eGt\\u002fv2rN3O8K3OLebV1mNvg+\\u002fg1CjiLUz0f+4jlvD70adK3ZtGslSxKZpmb3ofvvFC4ce6aZSqWuSiQSd7muKwHOtiBy2IbX6OC58ICYSCTW6Lp+paqo7sN33OIUl5S4ZicDGsGzomokwt+ffY4Ppk2jqIsbQuBWj7\\u002f0Enbaeed2xTTgraNlTSWb0Tl13AW89tZ\\u002fkDdhHltHJH+zysnHHsVlv7wYbIfibhXEqroR61ZJtKSYaFkpsW6V3n8rLyOaKPJGMPmvtb7lbrmOBJNtSktKuOPmP6FpKr8YfxWTJr2CFtGQZBlHT+JWDsbc5wpP5GYGvwj9Ox+\\u002fDcFb8we\\u002fuxZurBxXLfbW7hs8lJ9\\u002flyMASLWveEG3lmW+yP1mj5tyFoI3VVYtTjhj9trDBeb7IhfYhkQO27jQIZ9bl+Px+D9N03ps52E7yn\\u002f5wzWOpec6HR0U1G9bts2d9z7AwkWLO62aC4JziaIirh1\\u002fJf369SWb7RCJtx1UTSWZyXDC2P\\u002flmRcn5Se3bLLw\\u002fCo3x3H4y3XXcNjhh9Da4NWqe22tbGy7fUBuS1nvQkRRxNBzJBIJbrvpRtbWN3D+ZZczZ+5cooliL0ZhZHEGHIS59y9wi6o2z4XeLASEnD+sQRDAtrw+65HiDcx+c9vW4koUoXEhyrT7kL56sS2dtinpswJEScJMpxmz1+7uLsN2FBzHmeyLXNqWRA7bgdB9bICmJvlK07K+uHDcWdJpp57o6E3N+QGMhTiuN2Nszdq1\\u002fPmOO1nX3Izqr28LEUVv40vvXr24\\u002fpqr6V5djd6hlZXjV47Zts3Yiy7jvseebLd1dFMISlojEY2nH76PvfcZTaa583PfGgSWvKQ4wR+u\\u002fg2fzZzJVdddT2trkmisCNvw+sRbu5yCtetZ3hrXym0lkXubWIR0PXnLK4Abr+xicEJQQSd5XVuzTUizn0GZeo9XBKNE8TrFbKbIRRFD16nu0d2ZcPstMlDf2tp6n\\u002f+\\u002ff\\u002fDBt45sF0IP2kNXVwsp0zDOcRwne98tNwq77rGbm0l2nXKLxuMsmF\\u002fLrXff65WLynKnYk9n0gyqqeH6q6+ivKwMo0O03nEcZEUBUeSy8dfwmz\\u002f+Od8RZlNd+cCqV1aU888nJjBq71FkurhRbUkEQcDM5agoLeW8cT\\u002fn9X+\\u002fxYQJjyDLMqoWwc6lIFaKtdcFOIOPAMcA7K0k8gDRE7rrp8REFbe4pxfwoy2v7glc9irmjBRS7aso79+OtGiy12Ajb8U3z\\u002fgKeMbAsW13wt23uUMGDnByudxFZWVlS\\u002fkBl7luiO1C6NCWcovH4zMMw\\u002fplRVmp8Ng9tzsV5eWu2clsdPAr3hJFTJ06jVvvvQ\\u002fRbx6xXuWcJJFKpdhp2FBu+v21VFSUo+dySFJ7sQuiiBaPc9sd93La+ZfQ3NKySXPUA4KONr16dOeNiU9xxP8cRmZdk5du20qdT23bJlFczH777cOk197gP5PfJlJSAqKIk0vhVg7CHHM5To8RYGT8V23NLqwi2Dmve02wuUVWcUv7+iWxgD++GCWKkG1Cqn0N5YM7kL56AUFv9iy7IGy2FQ8QJQmjpZVrx19hH3vk4ZJhWbdEIpEX\\u002fMKYbc6awzYede+Iv34SBUGwc7ncA6qqXvz0Cy9bZ\\u002f3vL2RFU\\u002fP58I4E9cvHHnMUV15yMYZh4HTS5cV2HBLxOF\\u002fNm8\\u002fvbryJ+oYGIh12ggkCiIJItqWFkXvuzuP33cGI4cPy5amb0vDBcRxEf2fd+N\\u002ffwMOPPYkcjaIoyhYtvQ3iFX1696axsZGmpiYisZiXXbB0nL5jsHY5zXN\\u002f7a3lqrc7IW\\u002fjSq4F5cO7EdJrPZdcK8I4\\u002fKY2C+2YCOuWIq2ciVj3mbetVJQLtpZ+e4MryzKZpiaOOuZn1qS\\u002fPy6D89oMxON29+rYt6kAXCHbldChLb8OqIZh\\u002fFtV1f1vvucB+5rf\\u002fVGKlJZ2WckmCgJ6NsspJ53IxeeOwzDNTls62bZNUbyIeQtq+eMtt7Ji+Qqi8fh6ApRlmUwySUW3btx+w+8Ze+qJ+ddvSr49EDvAg088xdXX30SypcUrhtlCwbigL1zQ406WZRzLqy+3hx2NPfAIwPVc5q21Hs9\\u002fDr9dlJZAqJuB8vFDBccUsIafgFsxAHHdYsS6zxBaVkAu5Vn2YE75FqgfyKZS7DpiZ\\u002fudlydKpSXFC+vr6w+orqpa5WwDZa4bYrsTOnj5dd+V727b9nuSJA2+6NfX2BMefFSKlZd1WkwTCDqXzXLy8cfxiwvOwzDMLi17PBZj+YoV3HjrHcybM4doIrGe2CVJIpczcCyLS84fy59\\u002fdzXFCS+dJ4riRq1727QVgZlffMUV1\\u002f6B99\\u002f9EDke22LFMUGNmddo0saNlmGNHIvbY4TXM61wXVz4ddmcb47b2T8Ez3qLsvdwbHAthKalyLOeQkiuAtGvn3ddf3CD1PZTlP3+cd\\u002fNggdIkkQ2k6VPz+7Oh2++LPbt1bM+nU4fUVRUNGtbqGXfGNul0KFN7LlcbhdZlqeYllVxyjkXOS9PelWMlZRsVOzHH3sMl154Pq7trNd6GfwBi7Eo69Y1cfNdd\\u002fPx1OlEEon1trB63Vsh15pk15EjuPvmP3LAmNH599iYdXddF8ffW2\\u002fbNrc\\u002f8DB\\u002fufsBmhoaUOJFyPLm5+47RRDAMnArBmHXHIyrJXCLqiFaFpxJm6hcAKetBp3CnwU3BSH4GThZBb+7FugtCJkGhEwjQnItQss3iA21Xo17xw4vwWaWdoMXt4wXHRQ\\u002fxeNx960XnnH3Gjkip+vWcdGo8u9tpcR1Y2y3QgcI\\u002fki6rv9U07R\\u002fJtNp7aen\\u002ftz94L0PxWhJcacCEQRvorieyXD44Ycy\\u002fhe\\u002fQFEVb3BBB7E7joOqqhiGwYS\\u002fPsFLr7yKqmmdtomWJK+1VTQS5VeXXsBvLr2IRFFR\\u002fnkbm8leeFOoXbSYm++6n+dffoVsaxItkUAUBX8H3Hf58nv9zAXbwI2U4kZLIVqGG6\\u002fCLarCiZZBrNwrKRVlr++6IHkudn6XmZOPiAuO5XkEVg6MJEJmXZuws01gpBD0FoRc0us4K8peJZywaeWpWwJRFLG9LsDu809McI458ghJ1\\u002fXzo9HoY9uLyGE7FzqA67qyIAiWZVmnS5L0t1Vr1gg\\u002fO32cMPOzmUKsuLjLPdqiIKCnM+w1ehTX\\u002fuoKykpLyfoTVTu8P6IoEtE0nnvpXzz8+JMYpkk0omHb66fqbNvBTCUZvsvO3PrHa\\u002fnJoQcD3gx3aSPuvItXpBNE+z+Y\\u002fgm33\\u002f8wr789BSuTQYpG0TQV2\\u002f4OLn1gcR3br1\\u002f3C1SEAmssKqDGcOWoJ0xJadu55lj+a00EM+uNObZN2nsEQX5cbHPBg0\\u002f4PTb08PYsWMi47uMP3uOefsIxYi6Xuy4SidwYfG++t5PZymz3Qoc2sWcN45KIoty\\u002fvG6lfcyZ54izZs0WOltbB0iiSDadZsiOQ\\u002fjtlZczqKaGZCq1nrsdiCoei\\u002fHh9I+568GHWF23ikg8tp4rH\\u002fR\\u002fz2YySJLEmScdz9WXX5Lv027bNsJG0mkdvYDpM2bx0ON\\u002f47XJU2isWwmxKJqqIomilw\\u002f+VttUC1zvwEXOfwy3zXIXCjj\\u002fOv\\u002fcBdEPqAn5\\u002f9X+ly3rgm8Ooiji2DaObfPX+++0zj75BNkwjJs1TbtmW6tj3xR+FEKHdm78rzRNu71u1Wr3Z6ePdT+f8XmXbjyAJEpkMxkqu1Uy\\u002frJL2W\\u002fM3qTThfPH2\\u002fBGLsepW7mSex56mKlTp6FGIoidTFYN8vW5ZJKSygouOW8cV1xwrjfxFDYpYBdsiAmYU7uA5196hWf\\u002f9QoLF3+Nm81CJEI0GvGvAVuwDVZH8XbAXe+X7wWhixRqIaIoYpkmruO4D999q33uGafKhmHcrmnar7eHwFtn\\u002fJiEns+x64ZxpaYod3yzos456ZwLhU+mfyrESr2Z6Z0hShJGLockSYw78wxOP\\u002fF4HNfFMM12QgO\\u002fyYU\\u002fx\\u002f3ZF17gb\\u002f94Ft0w1su3B0iShGmaWJkMO9QM4KJxZ3P2qSfQvaoq\\u002f37Q9Ro+EG6QKgPIZLNMfvcDJr35Fh9O\\u002f5QFtQv8SjEZUZZRVcW\\u002f0ThbYF3\\u002fwyAQuGVZG6wmFCUJM5dDkSR3wl23OT8\\u002f9QRJ1\\u002fU7o9Hor7albaeby49G6AEFlv1KTdPuWNfUwsnnXOD8Z\\u002fIUMVpW2mXKKgiwGbrOIQcfxCXnn0dVt0pS\\u002fjbXQssb5MCj0QgzP5\\u002fNA4\\u002f9ldq581FjsU4DdYE7r+s5XD1LzY6DGXfaKYw97SR69ejuvWfQ+IKuRd\\u002fZTWH12nq+nDuft955nykffMQ3K+poaGiEbAY0DVHTUGTZ97aF\\u002fM\\u002fgGnT8+UMjKELS\\u002fZ6B\\u002ffr0IplK0dzSut51kiWJbDZLPBZz\\u002f++hu53jf3qkZFnWHYqijN8e3fVCfnRChzaxZ3O58yKq+mBrMqmcc9l454WJL4mR0pIu3dv8lyqVpl\\u002f\\u002fflx6wf8yetRe6HoWy7I7jcrHYjFak0n+\\u002ftzz\\u002fPPlVzD1HJFYtPMhDMH6PZsFw6SqV09OO+5ozjjpOPbcbUT+ecEyoyvX3nXB8dfQHeMJtQsXM33GLL6cN5+v5tcyZ14tdatW49q2t+\\u002fb8dfbshckkyRvllzQk65txe62LbE7XqfCc\\u002fGvw9a4UUiShGEY2LrODgNrGD50KAsXL2bJ0mXrXRdZksikUvToXu1OfPJRYZ9Re5DN5q6LxSI3Bu2gtleRw49X6MFWQyuTy50aVdVHgaJf\\u002fvY6+94HH5HUeLzLSargr9tzOqqicMoJx3H6iSdQVFREJpNZr8w1mKeuaRqfzJjBE089zZdffomsaV0WvQSCMkwTO5WmqLKC0XvuzpknHc9B+46mT6+e7Z6\\u002fIeEH7y8IAoL\\u002fvgGWZbGuuZm19Y3MrV3A3AULWbRkGSvqVrKuuYXWZJJUKk0yncbIZsFrp9SWTvMqbVhvo4nj+v\\u002fPH6sUjXQY+vjtCa6vbduYqRSlVVUcedihxGMx3pj8NnWrVqFpWrtrKskS2ZZWBgyssSc++Yg0cufhlq7rl0aj0QnbuyUP+FEKPSCw7JmMcYCmSX8XRbH3Lfc8YF9z060SrkskEukySOfdCGyMTJZhOw3nwnPGMXLXERimgWG0X7sH1jsei5HOZJj0+hs888KLrFtb36U7D+RHMxuGiZXLgWnRb1ANB+07hsMO3I\\u002fDD9w\\u002fH7wL8M5X6OCKtwUOHcfND6fcULFOKpWmsbmZ5uYWmlpaaE2mSGcytCaTtCZT6DkDwzDI6no+tiHLMtFIhJLihH8sh0wmy5tT3uXTWbNROmm1vam0E3gmg1pUxNH\\u002fczij9xrFhx9P5+XX3sB1HDRNK2ig6Xtgzc0cdOgh9jOP3i9Vd6tMp1Kp8xOJxDPba+CtM37UQoc2sSeTyZ2i0eizkiQNn\\u002fTmZPuiX10trayrI5boOtcOXvdWXdfRNI2jjjyC0088kerqKjKZTLt6dfAntUoSsWiUxUuW8szEF3j7\\u002ffcwsjpaNJrfqrreUfwvbDAF1oumR6nqVskBY\\u002fbmoH1Hs9OOg9l52FBKS4o7PdOg77v\\u002fhu3daz\\u002fFFWS6BIFvvT128dJlzJm\\u002fgE9mfs5ns79g4eIlrGtqIp3JbtKGno4EHXJN08LSdZRolIMP2J+Tjj2aNWvreexvT7Fk4ULUeFG7iLskiZiWjZXJcsF5P7cn3HGLBCzNZrNjY7HYe67ryoC9vVvygB+90KFN7K7rVpim+YiiKMfPqV3gjLv4cj79+FMxUloK0KUrnw\\u002fUZTL06tuHs087lcMOOhBVUUhnMvnn+MfCcV0iqoYkS8ya\\u002fQX\\u002feP6ffDJjBq7jEIlGN3qsoEecaVk4ug6GSbSynB369GGnoUPYbeedGLnLcIYMGkhZSTFF8fhmN67cEHouRzKZorGpmfkLF\\u002fHV\\u002fFq+nDufhYuXsHzlKhpW1HnrfU0FWUaW5Y1W\\u002fhVSuPwxTBNH14mXlnLw\\u002fvtx4rFHE1E1nnz6Gd54azIIAtFIpN1MPFmWyaRSaNGoc9v117qXnj9OAt5ubGwcV1lZuWJ7qnjbVEKh+xRshBF0w7gxoqrXpjNZxl93gz3hiackQZKIaBsehCCKIrlcDtdx2XuvPTjtxBPYbcQu4Lpkdb3dFziwPNFoFMs0eX\\u002fqVJ5\\u002faRJz5s4FQItEurTwAYIgIPprb9O0MHO611TSb1EdK4rTv19f+vbsSa+e3endsyfV3SopLU5QUpygpKSYuL900FTVe08EdCNHJpMllcmQzWRpbk2yeu1aVq+tZ83aBtasrefrb75h2fIVWIbhrckdG0QRUdXQNO+9XMfBZdMj9oH1tm0HI5cDx6G6ew8OOXB\\u002fjv7pkVSUlfHSK6\\u002fxj4kTaWlchxaPt7uW+fLl1lZ2HDbUeeze28V9Ru2JYVkPrVm16ld9+\\u002fbN\\u002fhhFDqHQ21GYR83lcqepqnoXUP3E08\\u002fZ4\\u002f9wk7hu7VohWly8wShy3sXOZFA1jQMP2I9Tjj2GHQcPxrQsDMPIl80C+X3qsViMVCrNB9Om8fJrrzNnfi2uaaJEInlrvDHRBw\\u002fXr1SzbQfTNP2usqbXSVbVQFVQVRVNVZFlOR8L8N8p36PO9PvUmYYB2Ww+F48sISgqiiIjil4wThAE8L2VzVmHBzcrx8+B27qOEosxeGANhx54IEcccjClpSVMnvIOjz\\u002f1D5Z9\\u002fTVSJJIPZAbIkoSey+GYJj8\\u002f\\u002fWT7\\u002flv\\u002fLBXFY0ld16+ORqMPBn\\u002ffH8uavCOh0Dshn37LZmtUVX1YFMVDahd9zRXXXO+88ea\\u002fRTkW22gTiDZ3PkuitISD9t+Po478HwYPrEESRTLZbFs03LfckiQRjURIpdPM+Hw2k6e8wyczZ5FOJgHy6\\u002fjNyW17E2D8BwJOQZFM4Q2rY5lux4ckSX7DFze\\u002f\\u002fPg2gbXAo8m75oaJY+QQVJWqygpG77Un++8zhlF77IEgwLsfTuW5F19k9udfIEhSPqIeHDu40eitSSq6Vzm3Xf87xp1+sgh8Wl9ff2FVVdXM7bkQZlMJhd4FBet22TCM36mq+hsgescDj1g33X6P1NTYKEQKostdIYqi171VzxErTrD\\u002fmNEcccjB7LLTcCKaRs7IYZpWO8GLokgsGsW0LJYsW8oHH03n05mzmLtgAbaeA1lCkmWv0AW+leg2JzD2XXPghTeMoJutl7d3qe7Zg+FDd2TUHruz95570LN7d0zT5O333ueFlycx+6s5YNt+7UH7c5EliYyug2nx058cbt1z8w1yTb++WJZ1x6pVq34fuOr8CNJnGyMU+gYodPVaW1v3TyQSdwO7za1dwFU33Gy\\u002f+tqbEopC1C9v3Zg7b9s2ZjaLGosxbOgQjjz0UEbtsTvdKiswDBPDMPLPD6y94r9\\u002fU0sLCxYtYvonnzHj889ZvWYtrc3N4LrIBe59YQzg+65m62itg+Pbtu2lB20bLZGgsqKcnYYOZdSeezJk4AD69+tHPBZj9dq1TP3kE\\u002f716uuewB2n01hF0FI715qkV7++9g2\\u002fHS+dc8YpAAszmcxv4vH4v\\u002fzj\\u002fyjX450RCn0jFBbXuK5brBvGNRFV\\u002fSUQefKZifYNt94lLlm0SJDj8U3q6dZWSpsDXPr07cthBx3IoQceQN\\u002fevQDIGQamabZbx8uyTMR3Ww3L5OslS\\u002flizhy+mjOPOfNrWVvf4BerOCCKSIXRbtdtFxTbEha68Pfg38Ha3gmq7ESvYKZbRQWDawYwsKaGoUMGs+PgQVSWl+frFJYsXcYH06bxzgcfMndeLeB2KvDgeuipNKKquOeccYpzy3XXSBVlpY7jOA+m0+k\\u002fFhcXN4RWfH1CoW8ihdahJZ0eFde0v0iSdEBrMsXNd99vP\\u002fjX\\u002fxNbG9cJaqJoo51fC8WRy+VwTYuK6ipGjRzJQfvvy45DBlNZXu4J3jJxgv3l\\u002futE39JHNI1MNktjUxN1K1cyd14t8xcuZNXqNTQ1N9PY1OTl3EUJJBFECVHy0nOCEATRNu7GF94g3OCmEeTlbccbWIiAliiitLiYktISevXoweCaAQwZPJhePbpTWlJCSUlJfudrY+M6ahcu5O13P+CTGTOoX7MGRLHT9GJQ8ZfNZMCy3H33G+PccNV46aD9xgB8mtL1qxPR6JSOf6eQNkKhbwaFO+Bc15V13Tw\\u002fElGuBvp+Oa+WW+55wJ446VXRTGUELVG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lic3XAeJH4ZRx4DsSNpZGwEKYRhufTaAXlYvLZU+cnn9par4tex3hwExoBQKB0dBQkPRQEnmITyKmOsxicfU3i+1Q3iOtkYxDTPq5VcdRg19FSAipKK1twiKJyYfgqhPoziGhF4LBRQFfOOHGeplMmwJCbNyMK1BOdgwWkW\\u002fpfoK967fq\\u002f9uQurM2B8Jwu2rXsNXy3LHCFI2\\u002fLjSuMouP0ryFqgbEX2D2uPVp8pvnz3FZd8Hg1GDX\\u002fkYNfSVCJmJU+mZ5MFN18dzjsVwMo7amjpHkTXgiwmJssgkB95mZNCEZHpkyA7giP2tgbyilIFiTuEXoFRUlIpQyiuCEgSBwgRQKoDW4HjgOIL2wPPAjQteDLy44MUhnhR0nYCHXX8Hyv6OHgK9JhwxBUs5OfQes6c0CQ2ZIIfwGMJVxEr3qJ3f6QyP2XIYo2H9SsOooa8EROFntP6WRydvgdKn4MhnSTrrUTTWeyM+opxBPbf0Zrkg9NIxrFGXFFKEUkHRsVjR8r6m8yNNV5si06HIdilyPYpSDgp5RTEHfnFolziWEGJJIZaAeEpI1gmpRqGuWWgYKzStYxi\\u002fnlA3xuDGwn1y7T5RtEZvd3hIYb8N8ZVySWj73oK8hG+uI1f6izpg3mKofnCOYvkxaugrgKg6LEobySOb74zHd\\u002fDls9Q5MYoCRROg1FKZcTHWtrVLr7fWUGrXtH5gjXrR25olCzTtizT5rPXUfsl6aqVAO4J2ej2\\u002f1tWhdhRG9P9b5KHFgDEggSIIaUPHFVzPRgHpRsPYicJaGxrW3sgwZoJh7HrGev8gJOJ87D4RRiADHnQFox\\u002fXDg6QCZYAf8DIn9Xeb74DZbZ+1OBXAKOGvhyIUmRlD\\u002f7kVjsQBN\\u002fD4TMkdZqMAbGJMFTt0DwKycvr3gSgBb9T0bVEM\\u002f9lh3dfcWhfpOhq02Taw7S2GxqzDn+iz\\u002feLBCr\\u002fPWRU1NlQud3KHwOBD4GvUBrqxxoax1rD32R7nwmbGeqaBN1Q7e2XYvQ2tHeUQ1JDNlgE\\u002fA2fy9Recz+AUQ+\\u002fIhg19GWEzMTpNfAtJlMyZ6D5ImnHIWcgkAClnAE\\u002fHxqLdoG4gCgkDwte08x\\u002fweX9uQ4fvqMp5kFEobWE6+mKz8Ow1ZtF6\\u002fHoxvF9CErhviohUQ8TNg1Yf0vDxttZw8cL9z1v93upXl5JgKtd4gqyZhFifksmuEId2LuGH12\\u002fLxtGDX2ICAkiUQqR2ZPHkdTfIpDTqddNFR58QOZcDNZAXCAhBJ2KRW87vPO8w1vPuLR\\u002fqMh2K7yY4Mb6EVwV7HrNbff7TcVHh3qBl3cb\\u002fffTGPCLlvxLNwhjJwZM3iVg0o4B4zY2EBPIKySsBRzE6A2C4CmHuIaMPxfFRbz3xj\\u002fVcQSj3n3ZMGroS0FVmP745l\\u002fGUf+PmNqCgoBvBvbgkYEqUGErSc9ixWuPu8x90uWDNx38EmhXcFxw3HCdPMCt2\\u002f\\u002fPgiXcLfFun0Tafk2YJVPlf0fvr8yuVRqyrtiGokyuE6AIqL22H+jmUSG\\u002fFgRhmF9SpBqEDbcJmLyrz+SdfWLN4fnJMXjaTsJDiSubl8+ZB3DUOWq31x+HvhHWKAbGqKEPApmOLhNtD2+6NTH3Ajz1GQTImwDUgB7cGNAOtmfMh\\u002fdf0bw42+OtZ1wyndaY40miuvIBw\\u002fGKpXw5k6aRsqHmUPSgyKDD34qsKHJKkUOTFyiGeS0fMKFFaRHccBtxJSSBBIYkQrrPj6EBIYaUHxoSPkAqHwA1T4Lq7bEJApvq044wZoJhyz0DttjDZ\\u002fymgc3fh2v5QT08CCntkAlKwK9x9aVqt9dbK6OtAT\\u002f9P45RQ68BAcVM68Vl5lYxNjSnoeRs4noMPcauDWuRbKEHVxpICn63Yv6LDs\\u002ff5zL\\u002fJZdiTuHFxa7PqUhJ9d1EGQrbV+oBJSCLphvFYjSLxeEjpekQTQ5FDkUeTaHis5U\\u002f1d+g+vwl+jHYh0kcIYGQREghNGNYWxnWImAtAlJAGoMLlFD4Nfa9DxTosCcm8G2KsK7ZsNnOPp84yGfCZANu6OEHX8cHgEOdhox5HSNnqj3fuBlGvftgGDX0fohUW5RC5NEttkHL70jqfWyYLgGKmmF62RslBbI2PH\\u002f6Do+Fb2qMgVjcengzAIUUGYkHOKH3LKBYiMMHOHyEwyIcFoumCBB6VRW+PwrbByqEWxr6f870+VHlZYIKvft4hHVUwEQC1iNgAgFuGGn4oeEP5Omj9J9fAr+giCWFSTv57HiIzwbbheX9+d73DnC6AuLKJQBK5nKKyXPV1Bc6ZDaumkpVm+\\u002f\\u002fOkYNvQIiOEqFa\\u002fHHNj8V5CcknSayJmCA2vNy6igJpgBvPe3y9G0eC16zLsmLY2\\u002fcygVyiF5DBTd8sRWHhTjMw+EdcelAkwkNzaM33K65\\u002fyt4\\u002fP0x2Pf4WINWQB2GZgwbqoBJ+EwkYAzGdtJW8AT9nXRE5ImBQk4RTwqb7Ryw2+FF1tnKhvRSGKTyzqbkoE5rcuYFjJymPvnGI7V6DP7XMWrohKH6bBw1FV8e3GACscRlJJxjbS36Urx4HNDw3ksOj\\u002f07xrznHQRbYRbdxDW+D7DhsYRr7Hm4vCYu83BpRYcEmW3xcio+N1IWoZHtWddqvX4Q\\u002fm0dAjYgYLIqsSk+6XCvCxW3W\\u002f8bT2sb7RTzlrvYZh+f3Y8s0bhBAAXL0g8SzvsktIsvWYxMV7vP\\u002fTmMhvKV+J83dLHRqA3VH560OwnnauJ6a3rMgOmyyjC9bYHm6Vs8XpzjlW9SqGbOIyN1sZ65hOI9HF4Sj1fw6ELho3DDNXmtdNdIRf8TVMJ6ew9hLIbtKLG58lmPACc8dhsi1dhWZPA5ReNYwy6Hl\\u002fjEIT6xerHrdwYI5wWDVpq0gu7gRpLmVLXjW0tGQ3mL\\u002f2lD75Mbf2Szr+LpX+HqNAXjY22y3wdCsi0M05+92+PxGz26WjTxlKB0tQePDDUy8E40r+Dxoni8j0MWRaxijT2SvPbyIvL2ETNfQpFG2AifnSgySQXUYSiGBh99pnIDWtk1fKmomLhZwN7HFdl09wB8kNIA3l3C\\u002f2wo\\u002fyp+8BW191tPjObc\\u002f4cNPaqukplbxVjf\\u002fw1xfSpFgQBTi1EXg20wScCHr2vm\\u002fD3G2885eDFwvdokm8GSay7CRzi8hMvzxPhQbDDuhaH5si4ky00jsnofClGovqyfUfQavEaYqAw7UmA7fBowZda+6qSH+fVi3lYGbr+fz57TitStI0i24jxUw4bygbRTMN9Re73xdwlFO9Sa\\u002fxxdLvxPGnpEusnsDZtIJf9KUh9BTzBwqB7Yghe\\u002fBE\\u002feGOPJW1wKWUUsSc2qNYP14DGEFjRPSYxniNGOLofm5W0PYX91RUFJYKAUKIwB1xGcZRRdXh5jjeAHNofuVXyviFW5Gsr3RihitzMewy4U2VEVaEIoDBDSK22\\u002fp5iFsesZpp5YZPKeAZQYeO0uBLjKNsrk5Fy199yLIgHO\\u002f0WS7n\\u002fO0KM1m9y\\u002f5dakzN9J6x3oNjUJt7KoQxpa39Hc+6cY7zznlnPhtcJ0hSXZ2kMDfw6PJTjEQsZ8qKF51KyigEJJkStYE00mYHx9wDrNAW3dmkUdtmBsaNtUSHi3L4uxi0DME8akhVIAS7o02ZwGJSTiQsLrfZ8MIcoo18lj1\\u002fLrELCbKrITRVKhwdeqxNMaSvYpwU6HlJhyQgkvXLvXNHYTromSWlEwV7Jgu2+r42YF\\u002f4u18v9Thl428scm74mrr8dT65ENapawlkN1D16+32XOP2J0tWgSabEerOJurmTRiyieweMhidOC04dcG4pxOaH3ypcUpcAuCSat47PV+j67TS6y79ZFurKK6x5OccezcYq+GpLhKgXGCFqBQbOsy1UjsPMmRT6ze57J6\\u002fq8sMDjsddivPa+x1sfhksRBxIx6+2DYGgGr7DkXQCsh2GKyrMNPgrr+Wum5IB8VrHe5gEHn1Jgna0DpEfVTsNJWMhX5zh0+7dQLHxJTX2343\\u002fN2P9nDL1s5A9OOgjPmUVMNVCUmqSbTZsJpqiY\\u002fbc4T93u4XiC61avxaMw3QVeF5fZxJmPg4YhG7gKyScj0J1TOAo2XCtgzy2LHLVLjh03LbHhRiVKXQ6X3Jjm8jvrWNKpSSdkyBdQAaVAmHH6NG6781aeeCVHKqGHFHZHn8+VFHFXOHSnAtM\\u002f281WmxX4cJHLM2953PVcgtkvx3nrQ4dCQVOXMrjO0EL7yD6L4f9vgc\\u002f+qsAG+GXCrr\\u002fBawcKWUWyzrDfl4psd7APhXCZNVAo36AdeswD+LFj1d4vtf8vpd\\u002f+Jwy9bOQPb\\u002f5pEurvCA2UpCbpZgzolND+vuaeq+K89ZxDIhVup4YXT4Rh+hzi\\u002fFdilFAkkCEbuKOgULJGlIoJe29V5Pg9c3x65zxjxgSQECgq\\u002fnp3mhnX1zN\\u002fsUsqaYi5dr0+FDiOQ0d7B+f+6DQu+O4h\\u002fPr8o\\u002fjunxI0pdWQtwF9H0apmHDyAVlmfK6Lsev50KPp6dLc\\u002fUKc2\\u002f6b4PZnkyzpVMQ9SMWEYCkdeNB7M+ZRpBD2VAX2okgKQ77GxVIajG9Lanc51GfKiQXcBLbIpjZ34ZPWLhnzJFlzjDrgzYX\\u002fK579Y2\\u002foZeLtoS2OJy7XgnJrFsFEqbO0sOBZl9suj9P5kSKWtl6iEpEX18DLeNwtcRbjkAxNe6gevOhDNq+ZMCbgyF3zfPWADNttUsJNGshriAtz3\\u002fE449oGbnk6QSwMjc0QjCaC6zq0d3Rz\\u002fFEH8I\\u002ffX0xn6zw6HzuKA2c08F6bR8KVIXv1CI62D5nurGLyugHnf66L46dkwy+0J+itBR5\\u002ffTDFvx5J8uZCl3hMSMZkSB4+kokvotgAn0NUgcmUaq7do1A+l4HJOwUcdlqB9PiQla9V5iT41DkuefNfguBotcebC\\u002f8XPPvH2tDLnvyRyUcS19djSITCjH2f9yGBpFLw2gMud14Vp5iHWMJKIlXCYMVgulHcLQn+i1cO04fiFhwNpQAyOcW6YwO+PDXH56dm2WrjklVSK1gGTnnw13uTnPWPRj5o1zSm7E4ui1E6jkN3T4adttuCO\\u002f75a8Y2N\\u002fL+e++wXssR\\u002fN\\u002fvklx2ZwNNKbNMXr0SrgOZgs0AnLRflotP7GJ8c4CfV7hxgRgsWuQy8+Ekf7wvxSvveSQ8a\\u002fCBWfoDUQMF7LmdQoF9VJEYQoEaobyGfAbW3lg44rt5xm9qMD1hB2E1Is\\u002f+HE7+ULXbux9Wdip+HPGxNfSykT+6+cG43AQqWcvIy\\u002f3iMXji3x4P\\u002fTNmPa7Xl1WPPEkM4Q087pAEC3FIDNGL65Bk685pxtQFnLhPju8c1sMmG5bAKIK8NRgvLbS0a370l0b+NidFzBXi3tDD9N7vU+QLJcaNaeCef13OVptvjACLP5jPOgsP57k3YJ9zx9sQt2Ln+8hSDeV7wjuoM6vZdoMSvzmlk6k75zHZMAUYswbf0erwx3tTXHV3mrc\\u002fdKlL2jX80o4rKrwpopikfI4kxwQC8jXyoNqBQg4axgif\\u002fk6BDT4RWM9em5EPqNcOOfMo3epIdeDrrR9nY\\u002f9YGnoUisljk6ag3FtwaMAX295Y+b6w00K5MPsvMR7\\u002fj0csYW\\u002f2\\u002fuvxSNzhIeLcJwn8sKJtaXdFFKZn8lZj7ehdc5x9bDfbTi5ZEcWiKj9snLThyVfinPb7Jp5+y6OpbmihbvV3KowYRODfV\\u002f+EQ\\u002fb7JL7v47ouHy6az7h3Po12C3zmJ+O55b9xGlPWwyplDU\\u002fR+2AaKlwNPQVFwhNmHNfN947uBqwKrVJWVIOEYeFCj8tuT3P1PWnas4qGIUQqEVlXQFGP4TCVZ0eKNUN5m4JTuDHh8G8V2HyKj2QGMfYG7ZAxD5B3jlRTX+35uBr7x27GddnI52y+LY4zEzck3qhek0cCi\\u002ff+0Rp5JARReYMbrLJxAZhJijskWe4kW9rd4IR12x0ZzfYblZj1gzau\\u002f1Eb204qEWQVUrK3qOOCkxT+dmeaQy8Yy\\u002fPzrZEHZtmNHEArRSaT48dnfoND9vskQWBwQtE5heAHoJPC5\\u002fbK4oUGrRT4gdCQUqQSmpI\\u002fYItoTfgGUnFLQn7\\u002fr42c+MsxtPRo3FQY8QQQ9Ggmjve59Ksd3DmjhSN3ydOTUxRKatDCH8FehzhCBsVMSXInSTSUaxMiGANeTAhKcMtlcV6510WlazcXoXHoMT5pZz\\u002fiwd9FprhAuVX544SP1QGVy1of32ZtVOk+YnobctXFMJEnN8A9V8Z57j6PeFqqWkkNkAQ+QPNvSbEgJNyWxqhHHrEnr0jFhVMPynDutG7qmg2SVRjpJbQcTygZxQXX1XPJTfXEPCE2hJB2ILiuQ3t7J988eRq\\u002fu+RHBEGA1g4gKKVYvGgeY945As8pkMk77HHWeOYudEnGFR2dGWZddhKp7jv4zIwlxOIJlJJl8uxRBNOR0ew6qcifv93O1pNKmKyyHWohkegkBfHh73NSnH99A28vcmlM24NemncXrHffjhJHqRx1GAr91mRKW35FDBz0lSI7HFZEsmpgNr5Ou3QGv1d7v\\u002fGNj2Nt\\u002fMfGo0cFX3LLTilU6R8k9TbkjV+LXY\\u002fGF91zZZxn7nGtkVeKq4X\\u002fTCK8icNfJc17oZH3e1sVojVrR49mt81K3HVOK5d+rZO6lOBnwjA29PROHLqymi\\u002f+spmLZjWQigueXn4jdxyHzs4eDtl\\u002fT35+\\u002fv8hImjt1PTMYhTpRsPxe2YpBQ6dXd2ceeqBHPvZkzl0j07OO66H7pwuH89QIWL3v7nO8Mw7HodcMI57n0qg6wQ\\u002fXBY4GkxOoQLFFw7OcN8FLXxhapZMQVHwl+7dwaY1X8DjGkmxOORKKk+bmFDXXsPdV8d56S4PlR5Q+MOlxwTUOafKw1ucqY4jYE7t1uQ1FR8bQ2cWWmmEMT2\\u002fJ+XsT6ZGB5qAKPvXe6+K8+x9HsmG2qWscYRnJMa1kqYjzI0PJVTPlxRFX\\u002fH\\u002fPtPNPTNa+OT2BYKMQgK7jgVrCDopfNiq+cxPxnL9I0ma6swys+qV0FqTyebYYrMN+eMvziIZj9ty18EM1cDxexVJOl3su+umnPuj0\\u002fEDhyBrOOuzPXxpapaOjC7v97LAD6A+JSzpUkz7+RiuvSuFmw6jIQk5AGw4v9HaPn\\u002f7fhvXfKud8fUBnVlr7IPtugAphPdw+Stp5uGS6m\\u002fsYgk6rYU7\\u002fxjn1ftd9EBhvKApmIA4F8sjW35WTcWPJuB+HPCxMHSZjauOI5BHNv8B9foLdAcBNYzcKFAxYfY1Mf57p0ciLVU5csF6i8eJMYskJZaeOlPKppq6sor1xwZc\\u002f4M2Ljmlk1TcEEQ3bXjXGgNO0vD6ux6HXTiWB16O0Vw3tHTTQNBaU\\u002fJ9GurS\\u002fPGXZ7PeumsRBAatB768SgmmoNl43RzfPqqOyy45l2R6LFpsECwiXP7VTvbeskBnTpV15ZcFQQDJmDX6r17RxC\\u002f+VY9OCBLyIGXvXlJIQfH5Q7LMvrCFT32iQEfG7vtgEYVNdQrtorlWUryKV23soUinAu64Ms5bj7qoVA1jVyiCkN1zgz\\u002fKk5vtUJaV\\u002fhhgjTd0mRkqwzw6eT9i6kKrzlqjzVSsF31iVozHb6pYk1e+Byva+hBxbpZUWd1l0PV4eCO2d2sO2qHAPRe0cOTeWUu2BX3DUN+ATgtPvZLg8Ih0S1tybHlhG1UMxWKJy378ffbYZTuCIMAZQlubVhpKJX7ytQlss9VWYahvw3XxFXX1AX86rYP1xwXkCnaNvawIjI1kYi788NoGzvhTEyqcNBMZW9Sd52cUm67vc\\u002fNZrZx1TDeFkqLoM2gob8lSIYfiOknxQmjsldcs8uwmgFt\\u002fG2Phiw4qJVU1Eig0JRFiuh5f\\u002f0OenjyOaZho9NaajDX6AERCpdZHt9wQrf4KJEIhsz5+QIztQHvlHo8Hr48RS1JFvEXh+gPEuE0SeCy9yysi1HJFxVnHdHPLWa1svI5P0KP7eHGw3s1NG+56IsmnfzKGBa0OjakVM3Kw3ry7O8u53z2ZEz5zcB+Gfekwtv+262mk8xmUirLW1viCvGazjUtc\\u002fY0O4q4QBMt3w5iQ1W9ICpfemOZrlzdREpvWrFyquBpMXuEquPjkTq75TjtNaUPPUiKKqFLRB2ZKiufEq16zi50dV8wp\\u002fvPrOG3zNbqWZ9do8hJQp7cir34LwIzlOOgRhjXW0C35Nk3JzK1iqOAPJPV6FCWoKogJQKWEBU873PXHeO\\u002fgwX5GngAeJM7dksBj6X3bjoZsQeE58IdvdnDxVzrwHDCF6pvSD8CpF+58NMnnf9lEZ0aTjq+4kbuOQ0dnFyccczBnnX4SgTHoZWLPxLKSfjdqycwax2gJxAM+mefSL3SRDav2lgcidtnSXCdcfW+ar1zWTMG3o6kqCTJtu18JsorjD8xw93ltbLdRiY4ehTuIsUe1DgGKf5PkpQHCeC8BnS2aW36TINOmULGa9QIOGRNQr4\\u002fn4cnfVQojMm2NDuHXWENnFlqpWQET\\u002fe+Sdg8iW82wW9knoX2B5tbL4\\u002fhFe2P1z5MnEB6RGHdIckhG7jrQlbPr8Rv+Xytf\\u002flQGP6vLTG8lAgNuveGWh5J8\\u002fjfNZIuqXAK6InAch66eDLvtuA2\\u002fufj7OK6DUir0yssAMeCmoPVeyC8AnaDy6B0NQY\\u002fi1CN6+M5hGTozarnIuQh+yMhfOzvJyZc1kysptNev3l5F36vZdrMid05v5dM7F2jvscuHgY7QGrsQoJhFildxSdKXXzGBHQu98E2Hu66MEUTSNtUXXFGQgIQ6Xx6dvItSto99+Y98eLFG7ng5ZH98s91w1QxygUFq5ModKGYUd1yRoKtV4cX7hmo2Ty48RYxbSQ4pXHcdaM9odtq4xJ3ntbDfzgWCbnvz97cx34CTFm58IMUXf9NMvqSWq5y1P7TW5HIF1puwFtf8djpjmxsRY9DLauSA9eoxKC6GJTfR\\u002fzGnCMc8FRWXfKmTQ3cq0JFdPnIugm+guUG47qEkJ\\u002f+6iVxBV3l2CI09p1irKWDmGa2celCGrqwqS0wNcDQ42HH0MyXNOzVSbyaAZFp4\\u002fXGXR6+PoRI1yVZNSRSuqkOr38vz26WZAWvqen2N22kRFDNAHtm8HqOuwtMJgkgRLHqT\\u002faVcYfY1cea\\u002fpImn+t5IkZG\\u002fhsctksQZipFraO9R7L9NnpvPaWWzDX2CTO2b3jd2TT7r\\u002fhQnXd5MMVDEa9zMywqlFEEQ4HkOf\\u002fjlWWwxacOlMuxLhYRJ\\u002fSU3Q6nFdtRUGrsCAojHhT+c1s5W6\\u002flkcoPnu5cGP4DmeuH6h5N84VdNZAoK7VYTpI62D5mEA1ee1sk5x3bTk1c2ehrE2F0gi2KWJMsKP\\u002f0r6OJpePw\\u002fMebOdtEpqcXEa3ISkNY70lO4SJ2PYetpa2SR2Rpn6MwKa5EV51Dvbm8r3\\u002fo2JJqw3fSFO2M8e49Hoq5vF5otp4T3cLlBkvgsnV13tfXkR+2S5+az2lh3bEAwwM0eEW+3PJLilCub8A2WzFoJFdRKKTLZHJeccxoHTdkNf4gM++AQUHHIvQNLbgWnujdXawgKiolrB1zz7XYa04aiP3j6a2nwA+vZb3gsydcvb6YUKFux2O9C6LDKzZTggi918csvdVH0bS\\u002f9YMYeafbNlCQZdNU1VoDSwj1\\u002fjtHylkYlaqbd7HrdU\\u002f8nj212QCRFtfxHPTxYo3ZYZk6zdeyPTt4Fj++Qq06libHLzCWvO8y5Lma7p\\u002foRby7QFT7tu9BLzZM7GtoziuP2yHHtD9qpSxpLug1g5E6dMOfpBCf\\u002ftpmSr5ZJJGIw2Mq3Lr791eP51snHEhiDuyIxdB+ErSNLboLSEtu+1+\\u002fR52ibAtt5myKXfaUTPwibSlaCsf\\u002fjwQSnXdVY7j\\u002fo79m1siSdySv+b1o3l3+tY6nGHrUUz8PhZrGC+5WXTARcF3raNff+KU5QoPYT36DwUKB+Lk9MamAWak0L4deoneWVWSJP7+SB+hWeTuCLqgrZHfALcO9fYmS6lR1FLL0vR7zLzSRZiEN8KRVvjoaOjOKEvXP87Xvt1MUFU6qdUw7CNfnTL8f4\\u002fK\\u002fH0JNXxL2V48ldx6Gjq5vDDtybS87+FiYs7F95MKCTkH0dSm1h+F5rP6yxf+7ALGcf001Xdvny65XwA2iqF\\u002f5wT5of\\u002fKkR5YVhdj+DiwQzg4zilMMzXHVqB36gbH3CIMaeAl7E5X7iVR2HNoQX5r3o8PgNMVS8Rm1\\u002fFMLXOdtTUt9TxxEwY\\u002fqKHfRqxhpj6DJzmqPOx1Do+QZpvWfYrFLVW67i8PhMj3kvucSTUrUmjiHcL3Felur0S3+4jjXy4\\u002fbI8+fT24k5gilVM+sQGnlSeO0dj+N\\u002fOYaWTr1S2HUAJyxv3XryJlz1izNJJmxOaJkZ9qUiorIG366jLEl29ue6+PzeOTq6B099DQWBgaY64Re3pjn\\u002f2gZ0QmpKvqjo+zOKLx+a4fdf66AUKAIZOLKIPPuDkuA5YuWehfLrAcSS8PjNHguedVG11us25SZ4+kfy6JafUOp8syaF8GvEjoqgmTbLyBOT1kNzDsWog7sXxthU2sKXNE\\u002fe5hFL9A3ZozTai3g8SLys6zYQXMcSb0fsUuDP\\u002f9dO3LHdVrWM3BhwEsL7i1ym\\u002fXQM85c4pBIrx8i1UhRLJerr0lxz2XlMXGd82JG2qi7d0gtxlQIt9pHw2693sPvkEl3ZFSPnwK7NG5LCBbPquezGepz0AOo3KuQMsoovHZbh1yd1ki+pcrvtQBDgdhIsqkHOKQ1BSfHA32IUOzU4\\u002fZYPCjBiSOokmItFprjMmlZjCsDIxBph6ABKIQTqLFJ6fNhf3rvvUd1HRjH773FKRYV2+obsHtCC5nZJVH6sJlwHOnoUU7Yucu1320gPEq6LgPaE7m7Nib9q5tX3XRpWkpFHOuy+H3DFpf+PnXfYMixvHf7aDaWsYTQ3Ga7+TjsTxwbkB4h2horIUNMJ4Yy\\u002f13Pj7BROuva5VIRjm7KKbxzVw48\\u002f102moMpa+FXbxmoIdIi9B3z62qgYiCWEhW85PPkfD5WoFcIrS8wl9CE8\\u002fsGn1XGzAvnXmlELP+INXaaHPeYPb7ETWn2FrImW2r3vEVAJ4enbPd592SFWwZ5G10qA2yVJGw7VNFNI9mDX5N05xTYb+vzju+001JkBw3UREA2+wKlXNvHgq3GaUrYdc2VAa01XT4bzvn8Kxx25\\u002fzKWt656OKFX3XpSkd9\\u002fvcOqxJoVEzkwEq63FZz6+2aeeCGGk7Llt\\u002f2hCKvhcoofHtfJ9w7L0JnR5WvV37tHKdXX8XhIYuE024rXQ2N\\u002f6naPRS876GQNFj6c9oJRF8jTO6WYhlkThCpGvKEzIwzdlZlB0olhxFQ+jK2RQ8ubDk\\u002fcEiOWrGbZkwhPSoyX8GqSb0rZenWDVWad0BTwz++2MXEdHzNIM4fBevMzr2niuoeTNKXNSjPyqLz188ccwlmnfxljVjBXvorgOLaC7VN75rjkRJvjXlHqwAjEXejIKr5wWTPz3nNxavAt0LuMMCXNJSd38vl9bGttzLUinFGXXIQo7fYgCd7GrQrhrV48PPjPGH7NCRJoCkFAvbMN+e6vK4Uwa9rIuzD9MKJ3sKy5\\u002fdjkqcT1YWSNqTVVBYHHboyR7aQqZI8BH+DwAHG8GsG6VlZXfdfNiiQ9KPqK33+jg60nW7mngWwrCMBJCb+9qZ5f3pKmMVX7RlweOI5DZ3cPe+66PVf+7IyQdFtxA1pV0BqCjObbR3Zz6kFZOrMrh5yrSwjvfOhy4q+aae9yUF4ND0vouY0l6a76Rif7bFWgtUUzrt7YSsR+D36NHRZxlyQo1AjhEymY96LLaw9aYq7quopSFEVQ6vu2w23WiPfqI9rQmWHbUBHOwOvfitJLwM172uG1xx3iNUItAe4lQRe6Sl9MK8gVYZO1A247p43rv9fGlV\\u002fr4NBPWhXTgaLkwPQ2qfzo7\\u002fWkEkMb2DAU2PLWPBustw7XXDad+nQq9OYj9z4ql8kG8NOvdHDQ9gU6Mitu7H4AjSnhsdfjfPuqRgxgauTYIRwuUYJ0fcBVp3bwxYMz3HNhKyfsnSWT61ufH7Ujz8PlMapDeNvWKjx+c4z8Em0VgfsSc5qSGOr0RPLqa2uCVx+xOycSptPWnbQ\\u002fnt6fnIlG5oVv6CXgHrkhZp+6FUcTsezP4vGyuDUVYqJrd8mJXTQ2B+y3Y55TDstgcmrgvGzIsL\\u002f+tsc3\\u002ftAI2Kq5ZdFVGwha2\\u002fLWmOfxx1+cxaSN11vFDPvKg1KAr6hLCFef1sHm6\\u002fpk8oP3kg8FvoGmOsM\\u002fHkrys1l1NoQf4FxrDZJXbLGez1+\\u002f284WG5Y4e1o3k9cLyBb75tqjPvaHJM770pe3EQE3BksWaP57uwf9iq6iQ6YoguYb8uRW6zBt1ojuWx+xOwazjIBCOz8irhR2WF7v2jxspX79EY\\u002f3Xq0m4FygA80cidc8SFdDd1Zz4pQcR+yZw2QVQVENauQioGNCT0bz1cubeL\\u002fVIbESmlR6ocjm8vxsxrc5YJ9dRxz5tjREZbLrr+vzp291UJcQSv7A53OoMAL1SWHGzAZueySJ0zDwMimS6paSwu9RrL12wMWf68SIKr8ewQEyaB4Ik619QniBWFx47j6Pznc1KlaVW9cUjaFOr0cQnKwUwtYjN3wfkYYuM3GUQnh88ylo9idjokqOMpQLpS54+k4X7VYTcF4oB7W4BsuuFWSLsOkEn\\u002fNP6CpfQEcNnh4SBXlf8bXfNvHIqzGrDrMSybfOzi6+c8rxfP2LnwkbVarvG1kZocMKIBqNPBAiJn6PTxT45UldFPwVX9JIyMR7jvCVK5p46vkYOj6wvp7CGrTj2H05dp8cn93TcgdOxSm1IbzwKh6v4fUl5sS2NPe0Kp652wNPVR+IUoq8CIZvytObNKrjbN3OCh7uKsGINHSmhWO8hVNJalB9OyxMACSFVx\\u002fy+OBtx7af9iPgForDk2EKpRbL7hvF+cd1sd66AVIYmtdRYb315uv71KeF7pwVnlhROGF56xGHTOHSc79lxxtr21tujCEIDCZ0YVFufTggEirohmXFRihrz1fuUdTD\\u002fqVPZTjj6G66MitWTBONQ84WFHVxIVtcWp9h+LnwRwQu\\u002fFw3G44Pc\\u002f3htY6qrgzCHImTq5ImAjchvPyQS9u8sOml79da6am0nkjB\\u002fTwAs6eMyBBsxBm6zMRBITyx2RY46lCyIkhfpl17UGxTPH2Xi3aq108a4RHi9IQdS5VwtB0fNO2TOT63n9V2G2A+VxWUQFzB9C91cvMZbUya4NPeo3tVa5YDjuOQyWTZZotN+f3PziAW86xxG1PWcHMcXV6nt7V3DYuxi9i2356c4oMWBxUXdEJwUoL27DXwg16j18pKOk8\\u002foZtpe+To6Fm+HvZIrqsrozh2jzxzfryEfT9RQIpDezhrBVJQbLShz\\u002fRp3RRLus+1ioi5Bbg8R6wPlyNih2t0t2mevcuzebwqr14WJTtZbpmQYt8HR6RXH3GGzjQrEoqor5DQ9VV5c4OdMvqky+L5uoY3F97F4eUaOXMVsuzrNAVceEJX2UMvK0yPZr+d8zxwQQsn7pOlK6usXNQynk2tFPl8gfr6NH\\u002f61TlMWHscYIcwuI5VjJm34APuvP8xzvrxFex1+FfZ8\\u002fBTeP7lN2xf+srK5y0Fgl22GFF886omdvrBeA46dxwX\\u002fqOBB5+Js3CJi\\u002fLAbTTouFivr+w4YxAu+3onO08qWe23IZ4jhQ29u3NWkefyr3Vy\\u002fQ9bWX9cgCxjrl6HIfyXDspy5K7hQ6cfC6+BJyVGZ792VhFbRPPKoy5d7+sa0lPKIWcMCb0j4xr2Vwph5sizqxH15An7NESe3GIsJfMScT3B5ivtfpYnrBj454wE771eTcLFEK6XFM\\u002fWaF5QQDGA35\\u002fayZcOyRAsp5eBMMUWs1f8yjvqOO+6BtozdpbYULTgorAcEf79l0s5eN\\u002fdERF6MjmefWkusx99mudenMtLr73NvAULUUoT81wKxSI7brcld\\u002f\\u002frMsaNaQy125d+GaP3lSe16FozSQc51rRwyXUNnHmtTScW\\u002fd6H22YTfLbewGf7jUvss2WBnTcpkU6Jne0eNhK\\u002f8FqMgy8YS0dWkfAG16+vnMO+5xa2JXbHre2kFXvuhrTbfWAM6ITw2jyPQy8ay0edDq7TW+aqgRyKI1WOvSn0GeKoNOQziimfLbDXl4pIT7+JL4IhpTU5c4faY+5h0X287Hu56uAu\\u002fS2rEXOmOPCgjy9HkNQTKPT15oSlru8+6rHwDZdYRUthtDafh8urIbHS35v7vmJcfcDG430IVqwu29GW2RXgG0d1s+OkIqdf3cgTr8dpSJkhXeWS7\\u002fOdUz5LQ12aX1z5D5545hWefv5VWto66clmwQjJVIKmxnoQa6ypVJJnX3iNb5\\u002f5M\\u002f72uxloFS0dVs0zOwiFLW97OMn5M+uoTwlaW2JMhfzU\\u002fI9cXn\\u002ff5cYnEqTjdazdGLDjpiX22rLE9hsV2XY9n+13ynP999s5+qfN+CETX+scaQX5oj2WHx3Vw4zPdZFMC0GPKuuzLw90qFSz5eZFDtg+z5\\u002fuS9OY6i2msWyvraDcQRWJ0493cIVXH\\u002fXY6ZASySas5GzvzigKAiJT5NHJWyj1xusjbVjjiPHoFZVFisc2v406\\u002fSkypu8EVEunc+OlCV5\\u002fwiGe6u\\u002fN4QaSPCGxmi2odpCgwtHCP\\u002f6vnU\\u002fvnSsPWFgRRC2q3d2aM\\u002f\\u002fWyF8eSC51myKC4zhsMHFt5r+3iO72Tpx4nFjMw3WdUDXGev3+63HXcWjv7OaiM07l7O+eNKRGl+Xx6JEXfOs9jwOnj+XDTk3cq5bD0oqy4QbGnuOCbwcz1KcNm07w2Wwdn4N3KPDI6zGuezhFIlbdNKIUFEqKDcYF\\u002fPykTo7YMwdFRbAUbfelISIRcwXF165s4vZnEjWzJQo70+1olWNPCmQr+qC1A7luOOybRXY4vIjJ9KuaFAmodxy6g\\u002fPUnm9caEVSZq2gzu\\u002fKw4haSyiF8MiWW+KyHxkDFUYuoZG3LVC8+7KDV5U3FxajeUXcwcUklFCfFLZcz44tXhkFZ9Essfq4cPn32vjpFzvJFQdXLI1C99ffeheA5vFjqKtL4Xk2yAoCQxAENUm3wBjq69Jc+MurueG22TiOs9LX6xH5lskqvnZFIwtabM1Ara8xYgtbonoCz7XnuLnRdri8vMBj1uNJvn5VEzc9mSTu1Tbyoq\\u002fYcj2fhy9ewhF729oGWQ7uoz+i3HoiKXRkNO2h7n7V+8KfZ4mR6ScpHBFzrzzsIrlaBK5SlADUsTJ7w0QoOTViHOlIMnS7L05wPHFdZasRCffKIx65nuoadA94Vjx60AMelNaQzSlO2i\\u002fDpE1LmOLKqx\\u002fX2oaB3a0OD74S7+PlBkMyEUcphe8HNb13LVg2XuE4Dt8686e88OqbOFqvNGMX7NIaF868ppHZL8VpHKBdtPb+2QeCH4Rtp3GhKS3UJaRP3Xn\\u002fL427wnstDs+8HcOULAG4sq6PMaA84Zxju0knTe0HFpbjWSCat3DxKvLqYmy13KK3NR+84UCtsti8EeJqO2LxPaT3uTEiMCIMPXzyGXljUhzh0P6Pe9vzDfklmjefdtAVaY6okqYNzSvEcAYwLaWgWFJMGGM4aWrOrq9X8mVwVDiqV2znVG4AXblKiMhypcqMMcRiHq1tHXztez+mpbUDrRVmeac09tk2uGnhL3emueLuNA3p2m2iQ0H\\u002ffHutU66VDa27wqrElSFPVfUdYdS105ZFDtq+QE+utlcHEBTPSoz+DllrKGYVrzzsQI20LgqDqwCm2Wf8yFGMHRGGzpywEu4jd0dcvRX5fgoyAsSEha9rFs\\u002fTNmzvl1J7C5clKGIMTPJk84rDdsqz6YalIRfJLBPENmHMOqONv5zWwbpjAjoyuuzdVzaCwFCXTvPUs6\\u002fynbN\\u002fsdKM3EkJT74Q5wd\\u002fayARZhZWFYXsaCj4kMkpjv1kjkcu+YjjD8gi+b5VbCuKqHDG9YST9svi9h8aUQEXYT4u76P73E+CzbTMe9El82GtVBuRyuh+8vJWdeHQhxFh7CPD0JeE51KZA0jrBCJBH7ZdAaKY+5RbFcvZlkPFi2JnrAx0QwYG6lKGk\\u002ffLAmFYWON9Qm\\u002fouTwQA\\u002fiKLx2a4aGLWzh5vwyZgiJfCoc8LN9mB0QQBDQ11fPPG+\\u002fmJ7+5Bq0V\\u002fnK6XyOgYsIHHzl89cpGevIar7+k0kpC9PDryCjWbTJcfVoHM\\u002f9fG5Mn+pjs8i2pTFSeO8BnHQ0UFId8Is+OGxfJ1yi6sXwPdKN4XTx0xR0lBrwYtC7ULHzDAbfKq2tyRojpTekM9gTCTNLwY0QYujqOQKajEY4mb6BvlhLlQL5NseAVp6oSzkFYhGZ+vzVVJbS25ZN7bF5k9y2KUBjYWyhl13I67JJa1ps82qzfrZi4ls+fTm\\u002fnuu+2sdFatoouqhpbmTDG0FCf5uJf\\u002fZmb73wQ13EIltHYIwMRUZz+x0ZeetcjHV85klj9Ec2RzxUUJ++fZfaPW\\u002fjSIT2IrwaU7FravgfGNhwpD0qlgU9wEIBXZ\\u002fjClBzFUu2ozmB7JV7C68O8R9+FhrlPOrW8hUJJQEI7wEEA7PvgiEixDbuhl0ObgyZPRrEtvkDF6TMGSFg53s4WhVNBgljyBF4Vj3x\\u002fSdgKaOzT+HN75lCJ2oKDxoDEhSfmxvj0+WN54qU4OiGoUK55WQ3edWze1hQV0\\u002fbL8dBFLXzr0B78QJEt1B7htLwQEVRYh3vaGT\\u002fllbnv4DhOuT5+KDACOin85F\\u002f1zHosSdMykG9DRZSF6OhRbLK2z9+\\u002f186fTm9ng\\u002fF2Ai0s20MwSucpB5w6w4IPHU7+TROn\\u002fqERajD7EDLwvl3CbbiWT65U+zo4WI3Bd8XF7edAHEd47zWHzBKFqtKBV5q8ASUHy+wprlIDUhOrFcNu6OXQRskBJLRLQJ\\u002fgK+pzfvdlh1KFrFNEwvWgeadKUqIXWkGmoNhsXZ9DdsxDv1rnSiiBK+5Kc9vjSQ65aCzfuKyJtxd6OHUG5YQGX\\u002fH+pdl+FJ4GGcVazYbLT+vgxv\\u002fXxtYbhN5dVqxopxLGGBLxOIuXtHHy6RfS2t6J0hozhCdUENjKt1seSnLRv+tpSK5cI1dYL57J22q6bx2W4b4LW5g2NYMUFFKyFYqDWUP\\u002fw4ieYU7a1t\\u002f\\u002f\\u002fJ8N7H32eP5yf5pZjyV56tUYqoZIZ1T7vuH6PlO3LVAYwKtroITiNbyqkljXg65WzfyXHEhUtcxqm1pQW5D6aHP7oVFDhyVrhetzvTexvp1qNpcLhQ7Fe69pvETfnmAP4UM07+MMSMIpBSUf9tu2wDoTfIJitdcIjPVmT70a45b\\u002fxmlotumX39+TZup5Y7n0ukbaMg5O2qDozRfbVMHSvb2jQXxbb33IJ3PMvqCFHxzZDWJvfmclrd2DIKC+Ls1Tz7zC6ef8ChMEiBmc1Tdhsc8b77icdnWjPa6VeFs62kZeHT2a7TYsMeuMNi7\\u002fliUqg4wuD2UYDCb02tDL4uukram\\u002f\\u002ft4Ue581jh\\u002f+rZElnQ7jGg2ZnOZ3d9VZzYIBti0CJ+6TG1A0JHIk83Ho6KdOpDT4RVg414GgxncEGOLKIQhs+D5n+O1sWHdApqPVcbMCeWjSeALZmbwB6bs+x4WW9zVtizSuW31R3haXYv\\u002f2wgoYsWN3jt0jh5hqkqe8ZjbwuzvTdGZ1WRG2KS20dmvO+FsD+509jmvvSRMoaxgRaafjgnKWLj6hVNiJlVE01Rl+9vUObj+3lV0mlejo0RhWvDAEwA8Cmpoa+McNd\\u002fLzK\\u002f+B4+gBQ3gRhXIhk9V87cpmFrY5JGIDs9HLguh4e3L22vzgqB7uu7CFQ3e3Ml2mtPTUowkjKJ0U8oVw\\u002fFNM0HHhkRfjHHbhGL5wWTOvvu\\u002fRlDbEXKFQgnTScNOTCZ59zU5e6X88SoEqKXabVGSbDUrka3h1W58lfIjDIpw+eoNiwIsL77\\u002fuUOrUVsuuT05dDDENqL0EFPsOfyns8D5pIkUOx9mMhN6EgpE+S20BtF2fm6CaJg9QvIk7aO68UFJsvX6JXSeVUKVqzykGVFx45rUYNz2ZpD7ZG6IHxq61m+oMry50OemyZo64aCwPvRBHJQ3nXd\\u002fAD65uoqcATtoM3bsHEGQ1e++Q554ZLZz32S4cZfPIzkpYuxtjqEunmP7TP3Lr3Q\\u002fbyrkqcs6q3ioHfvjnRh58JU5DamVNlrHnrqNHs+vkIred3crPvtZBc0rKpaODrcUFW2yjE4Jy4S93pJl6zjhee89j3mKXr\\u002fy6mUMuGMtdzyVIJ6Q8EScyaEdDd17x6zvqqFYa7O2sqxsT8KkdCxQGSLWGz3\\u002fe6XeHReF7y\\u002fuK1kWKql5opcLad7bn0U3GKzX8ktAjo6lF2ImYgqIyVJ42ZUPe917TfQwoSoEsQdM6SCWco6GQVxy8Q4G6ZmNHHNd6s4bL70rTk1c09rvZRWzFWypmKZU7n4vzxBsx9tm6wEOvxmjrdHj4lRjTj+\\u002fm0F1zIFZOabAedaXCsUJZTV1COP\\u002fLnRyyY4Fz\\u002f1HP\\u002fS\\u002fFSScEbwhRwkCI+ti1UnzjR5ew8Ybrss0Wm\\u002fZ5jzGWwPrDzWmuuidFY9osd1FM5XFpZbvOGpLCmSd08v2jMiTSppwyWxonERjbnurWG157M8bZ\\u002f2jg1v8mCAx8\\u002ftfNdGUV7yx2qU+ZAR9MRmw13p3PJHj+tRg7bFEkyNe49mLvjd\\u002fdmaYUVFcyhgQ7b4uLX+NiBj68+7LDOlsGfRl4QVMwgsMmFJyNgI+YhYaaU6ZWC4bXo78SnlfNHvj0IS1EQHnQvUjTuUTjVOQso7DqXRy6a4zDhaiBBerShqnbFMrbrERgbDfcq2953PlsguQgYasJc+uNKaHow63\\u002fTVDyFc0NhufmeXzm0jF85dfNvLvYxam3Nd5LI73L3j2j+eQ2BW4\\u002fr5VffLmLdFzoyK6YdzfGEI95fLikja9\\u002f\\u002f8e0d3aF58CSRzpleOzZBP\\u002fv740kaw0WXEY42p7vjoxiylZF7p3Rwtlf6CYRE4Lc4A8+u1+9zUGFkuJn\\u002f2xgv+njuPlJ67Ub08JrC10+6NA01dkTO9CDUARiLrR2a66Zk4QaPIATCknutnmRTdYOKPi1l3UOQhuaD8Opu+XTpECM4v03nFoHZoOBlFZ4ajsApg1v2+rwGvoMRGZPcUF2rEpCCOAJrR9oOlsUrldBhmBDqvdx+3UL9kWhpFh\\u002fXMCeWxahxhNdYYmVvz+UYnGHQ7z\\u002fWqsGAmO9Ul3CvtEPIJUQ4p7w5wdS7HfuOK6+tc4Od0gsPTUXrWVNThF34Huf7eKuGa18eqc8XVlFaQU6t4Iwv\\u002f7YUy9x+jm\\u002fxLa6KmKesHixy1d\\u002f32hTfStQFBPtf2fWKsD+\\u002fMtd3D29lZ22LBJkhtaU4geWdHVSwsPPxznw\\u002fLH86K+NdGUVjWkpl9DGPRnyCGo\\u002fgHTCMPOxFAved6slm7HLtnjasN+2BfwBbqRIQPL9cJ3eZynuCB0fKgqtdv\\u002f7vkjov\\u002fUeS9\\u002fbVY9hM\\u002fRwOIOQXDIZw7oE1ExDLHlXU8yFjf7Sy4Zm0GWSZCC23Tew15ZF6hosi95HQkhs\\u002ffxHix2ueyhJMjH00DVifiOE+hE0p4UP2h2+ekUTR\\u002f1kLM+\\u002fGbNM\\u002fRDCcK3tjRf0aD4xqcjNZ7dx2Vc7GVsvZVHD5Sm08f2ApuYG\\u002fvav2\\u002fnFVTMZ01RH0Re+eVUjr77nkapODw0ZjoaSr+jMKI7YucADF7Tw\\u002fc924zrWiy8tIjHheXTrhNYOzXevbOLQi8fy2OsxmuoMbr\\u002fztjRhyv7wXPiw3eGaOSmIVTeyCDbi\\u002ftSO+QE7DRW29fxDHAIqovMozdaiaV3oQHXbrc2gY3YVUIMUba4WDJ9Hj1IOEmyJq9ME\\u002fQR6wnLFRW9r3H7FDxroAT6qMZSh\\u002fHnABIqDti9Ybar+YbsAccPfHkyxoMUh7q54PbdvIObaTq07nklw4IyxXHhtIz15NSSyruzd8wpt4FtHd3PfhS0c+8k83fneMtplhTGGuroU03\\u002f2R2649Q5++p+1uPHxBE3LuS7vLV+101Cu+FoHN5\\u002fZytablAi67VTTwbx4mWyLC9qDG2YnmXLuOH59Sx0KegnRFbwggm2Z\\u002fdejSVoWuzixvsupiH3fej2fSRMC8sX+NZm9y8RF4vStkhPbttrTqWhdqKunrwoqdF7r8Nhm6yqQ4dR9Hz5Dr9\\u002fJPhyNTKJOK6iubzdFWPKeY3t\\u002fK06iCtMehQFKjpSy3WPrNAdsv2EJZfqtCsKL1NnqcP3DSRu6rqTDitaaDSlDrqg4758NHDh9HPc8kexTaTcYdJjbDXo0m69XYub\\u002fa+WP32pn4piAjojUWpYKMhG0djBBkdPP\\u002fxu\\u002fuFlTn1bLRfa5Ggq+oiev+NxeWeZctIRTj87YKCe\\u002f9MKXIIys3DrhzXc9jv9pM8f\\u002fcgxvLnJprjeWEV9JyShjIBUXXl3gcst\\u002fE7ZaruJ1Fd5ja6\\u002ft84mNiuSL1cRuFEEuRpd71KXiRa1gyfsKSqrqIUEgIDRg9GSA4dR9Hz5D3+mZ0JeozWq1paLt07KnvXoEssbKOQ+UsdDK1rZvv1GJDScESL+LYASICXNeivPcPFvTvbJ1FgNjvVpz2vD02x5H\\u002fmQs37q8mUUtLk6dlZoa7DvL3r2oEF9x0qEZZl\\u002fUwhemZMkVFPnisinjiAie65AtBJjlsCQdElrtPZr1xgT89TvtXPfDNjaZ6BP02Cf0oJr4FWRbYBS\\u002f+Xc9U84dx78eTZKO2xSZvxK8eK3vdV249sFkVcdixPUoD3bfvNRHQ67PsQN5FC2hQHHltrUjtL7vIP2jAYXCYEg7Ho6ZBMD4Kf9bhh6qGhmZuVUMJZuFyhx9T4ILLQs1frF6naeAjwbMnlNmRLfdqESsISDw+3oZrUAF8NfZKfvelXZkfSFiw\\u002fl0Qoh5whV3pZlyzjj+cnsdSg+NrIuKd4IezQZr+fz1e+1c\\u002fwMrNd3Ro5dqYH33R3CiDS4DoiaUfFHx5f0y3H\\u002fBEj5\\u002fcAZTsrX8S3vgBKaXbHvipTifunAMp\\u002f+5gc6soikk21ZGkU4tCJCICc+8HeOhl2Oofik5rYAi7LFFgdQgwhiCYjG66tQ5LrQuVAQlapxXCYgrEMd69H3XGrZ1+vCy7tuYekRtjC829xhCBHCE1vc1pYqmgyiM6kHThe7TQlgJE0Aibthl05INqSougAkLZF56K8ZDr8dI1tAuW9kwxu58c9rwXqvmlJCse\\u002fEtz5J1eunhqqOtBpsUFZ+ZkmX2hS18+7AeSoEimx96k8yyHGuUEuvIKDZey+cfp7fxl++1s8HaAUHP0vvsTVjE4qSErh7FmX9q5KALxnL\\u002fS3Ga0lJFtq0KiICn7fitWY8nq0pWlQICu05fqzHAD2q3yAqwWBxCTri8baUh263oaqmxTrcDHkDMxva7Zg2b5vvwGPqM8GDbVR1a1sEPeckIoUV3LNYE\\u002fcJuBztTrbufplclAmMLJnadVIR+s78EwBFmPpaktdMhtor6rftDiMg6aEgK\\u002f\\u002flvgv2nj+fSfzaQK4GTMmX2fiBE4XOQ0YxvMlz2rQ5uPqOVbTcslZtkVkYZrcJuJ1tQFEtw2qeyzLm4hWP3y2KiJpQheHEdlqve9miSfc4exyU31CNCuWlmdZz3aF9SCcMtTyX44EOnT6pNAQSQSgo7b1qi6FdbYvT\\u002fbThV5dZRlV37Yl3DmpQKhzStK29MigOrLnxcCobL0MNv99fB01UZMhWGUz0d9ClhjAoYuqHMgNYslDGKjcYHrDfWUJkTEQHHg\\u002fYlLv9+IkGiRh30qka0Vm1KGXJFOOPaRg6aPo45zyTRKUG5SyfrHA0mbJI5aPc8sy9o4YdHdVst9PyKFdo42p7TjozlOG46s43ffqudtZtsE0r0sBkI0b47aWH+Ipcv\\u002fqKZY382hlcXejTVGautt5orvwWIOfB+m8MNTyShn7qMzcBYQ6\\u002fVD295ISEL9PQj5CJD725RoGuk2HwAtS7tbt0qOrwhYZi7atRGoYReL5Eptv466FHkujRa930KaGwOvTBA\\u002f7lWUPRh2w193Jixtezha0ZAPOHeF+O88YFLfBA5oVWNiKxrShsefzPG4T8ey\\u002feubGJxu4OTlqpcfX9o1dsk05AWfvr1Tm4\\u002fq5VdJxXpyGhb4roMV1cpy6j35O3F+NHRPdxzfguH7J7H5C0hOGjKLCLbEjY4veqWOvY5exzXzkkT94RUfPV68ar9C5cZNzyepBRW6pUdSMjwbjHRx3OlZgN5RMhl+i0ZraErulqgqkRTocJl6boUdRrojWZXM4bH0GeFBytsWJ4CUAkH8llFpgt0v0S5AF1hQ0YtRMIC22xQglhfY1GAEsW\\u002fH0\\u002fCcC2WKhAZR11C0Er41a117H3WeP5xT8qq3MSWbhy9ZbSKKTsVmH1hKxef0InrDL1JJmpCae9R7LpZkf+c1calp3T2NqEMwYtb8Qfh+bkxDrlgDN+8qpGWboemtFkhaa6VBRFIxoXn53s880bfXnWlgBJstJbP2mMCSv2q5KJMTw5Fhn72rGyhU1ebrh2WC0JcecSCtYDeaHY1Y7j7ZNeqaW0aCllFvrtvGGWrlBSdUj08MYIRO1Vjswk+qN5oIBpG8M67Lk+84REbRm\\u002feH1HVXlOd4b0Why\\u002f9tpnjfzqGuQs8nLQslawrt8BmFXFXOOvEbu6Z3sK+W1nvHgxQhhp9rjtnP3fB57u5e0Yr++2YL2uqD8boG7Fhr5MSerKK8\\u002f7cyAHnj+XeFxI0pITYEJYhqwsiNmLp7NHc+VzcPujDe08roKTYeO2AdZoMhVI1IRd59Co5cbHnKN+joJbeexSt+sE6q+bIhobhNXRhbP\\u002fQPXp8lgpQyFmpnvJ6CLvk7lE2zVFzfR7AmAbDxLEBBL3hvQC4wv0vx3hviUtyCHXtqxORd497Ql1c+NdjKaacM55fzKyn4FtjWhpZ50RltBnFLlsVuXtGC788qZNUwtaiV3r33iYUzZSti9w5vZVzv9BJXVww2aU3oQQGtCc4SeHuJxLse+44LpxZT76oyl1lI+VBGsEYiMcN\\u002f3kqSaFbl41SKauyk2oMWLvJSo3VOnSD5Yb6FsBhHVMOgmj4TdWNCSg1BuiNZlczhsfQp02L\\u002fjW2dmmb4BegmO9LxhH+M88gdcmBYmy9YUJTXyLO0UBOc9OTSVxn5Hjz\\u002fohyyk0pQ08OfnBNIwecN46HnksMiawre\\u002fecwlXw3WldPHD+Eo7YOU9nxdTXrrAJ5ZcndXLn9FZ23bKI6dFL9+Jhr75TJyxa4vD13zRz9KVjefFdj+Y6g7MaUmbLCwFiHrzxgcODr8agSvzSatkN2F4M5CTs46\\u002f4u1ZCMacoFVV1XYYQ3sShoQ8ThmmNPsv+VqppoLfks8oqwlT8LapkykrtHHpU+jq2zrB2c4CEqTUjgCu8+p7LE2\\u002fEiK8kFZVViagvuylteOKNGIddNIbv\\u002fb6R1k6NM4QikyhUDzKabTYtcdNZbVz59U7G1Rs6M5rDd7Jjn797XDcxLZiltJKWlVYTdinxl9tt8c8f7k7jOUIqsWoq21Y2HAW5gn3gV6uQwGYTgnIJcn9oIKcUpt8CXmusoQ80zs6+fexKOoTlwvAIT0yLuDRJDkBgkOup\\u002fQwyQG6QTRsD4xsMTtoQhDO2ovX5rU8n6Moo6leSksqqRiR6URfmnX91az33vZDgvOO6OXbvHCghWMo0mKhJRmn4+lHd7LlFgRfmxfj8lCx44ZRSPbgXjx46TtLw0utWDOL2ZxJ4LjTXGWvga8D5hMirC4\\u002fOjdGy2GFcs0Gi3LnARmuVakqBR7dpTlS1yrOGYsHqyFUhivSNNK\\u002fM41hWrHaPLtEMdFsJ5w5UQBCVFPZ\\u002fWVCUwqKFWh9VCiY0h4ofUC4iCTKaR16NjXhPXgtRI0hz2vDGIpcTftXM5342hrfe83DqwvtoEEOLWjBNt2abjUt8\\u002fuAMSNiEMkB7JvSOUnLSQr6o+PHfG9h\\u002fxjhue8aSbQlPak4lHcmIGl1ee9\\u002flpQVeb049vKEmjrEHVPPeAoqqb8YnisyNT6\\u002fcWc01uo6v\\u002fKMZOoaPjHtlKxcZqGBdVdWn27\\u002faczhQZ6VgGdQJzaZ8so3Yktd5ixyeeSdGahU0sKwORHXziTAnff0jSaaeN47fzKqjZKyA4lLr5sMy2iCjyv8\\u002fECrJtnufSnDg+WM5+++NZCvkttbEh2YEP4B7X4hXpVnHNZhyWXSt+6\\u002fmMSswvrJRzcBUWwyo5KdWK4bP0PPtLpE+XP82NLHVRrUQlo3XRpgyWbuxryWLhqfejLGoTeOthL7z4USZrEsb2no0p\\u002f+pkUMvHMuTr8RtKm4pi7Go0GbA7YcPC6fOsLjN4du\\u002fa+LIH4\\u002fliTesGMRIJtuGChErSnHfi3H8QkWJtYGkJ4xrsMuRWkZrFc8qNxY+AMxSagUkNPRhwjCm15Ie4Fa5oPDkmn6GHr3LRyEMLO+sgIa0KV8ArUAJ3PZ0Emc11bWvDliFWqGpTpj9cpyDzx\\u002fL2X9upK1L1xTaWBr6kG2e8M97U+x77jguv6MO1wlHHq8BZNtQYEtihXcWOzz3VigJbQBReC7UJw3G1L7HAmo4ijA9ZwLszVbjdeB\\u002fNHRfbgiD+mRlFUqidyoH2lod\\u002fvuWhzsixt2tPJRFLsLj\\u002ffG1DRx20Vhau7StPxiiUQbGdmE5aeGV+R7H\\u002f2wMX\\u002fz1GOYtdpcqxLgmIvLorZ2aOa\\u002fEwBUbVIpVpEkP0AMRKssv35dWd7iuVgyj3HOuBPV+zUQ5YelrBaKz5AxSuhpdhvqkvSuNUThxw+NzYyzq0MTcVd+SurrhaCgGttNsn53yTP9sN41pGXRKSQQTPjOdpJDPKq6YVc+lN9bzUaemMWXVXqKxUcuq17YmQGl48o0YQUbjhsM7PcdmOUwUuve5NRU15U7EZiWsEtKAlH1h1RzF0DB8hp5o9in4llfrL5ynBMer\\u002fTEnPPkDPlsVxCuLkbXw9NsemYymudHgD5uy9spFJCfVmVM0p4Szj+3mu0d0k0gL5JfuPAIDjifgwUPPxTnnugYefjVOKm5oStsHZdG3ghMAyZjtH18TicxaMMbWvj\\u002f1lkdrp8NaYwPwwdFCzKlNxgHVqTfVm9kZVABE\\u002flcNfetpPo9fHwzknp0BdNwU1YMxqmE\\u002f6TqC36155m0P\\u002fTHy5o62RpgrWvHLiz7fxc5bFyCvCbKD59WjziwnLXy0xOEXN9dz5V0pcgVVNnAR2xDTnDb88KgefB9+c3sdmbytpluecdIjDYL13h+2O7z8nst+430k9MYDMUACZY\\u002fen5DTrpSVigeAzbJHxWKrGavd0MMculLqfCOPTfYHMnQvJmVCLTp31otLKPE8eC4dAeUIre0uz83z7HCGNdwbRV1knVnF2o2GH5\\u002fYxTcPzeDFpdwrPpCRC+F0lriAKG6Yk+K86+p59T2PupShLlznZwtWxfWIXfNMP66bT2xh78+DP1HgjGsbeGxubIUnyYwYhFWTj70eY7+d8+UoUeuBrdWDPiNXopSbdq1+XM1Q0\\u002f7tf9Cjl8fTqNxAReuJ+tonWwNJoGOQzQcmKnCHNxY5fNTpDDqFZU2A1W2DYklx5K55Ljqxi603LUJOY3JL8eLGrh+dtOHtdz3Oua6RGx5PlDvm7Iw6yOY1225U5IzP9HDClBw4QpC153LvHQo8sFkLv\\u002fhPPT\\u002f7Tx1d4dilNdm7K+zD6tl37DpRSW9HXq33CpCs8OjlW9dALAFunNoVXgBKda6CQxgyhqkEdhowC0Q6BnpLPGVvzsrzJkSGbjA1BzHZm647F14CDf99M7ZGe55IBqsjq9hwXMCZx\\u002fTw1YMzaFesbtsga8OIQNNJoZhXXHVTPT+7qZ73WzT1KSnf6N1ZxfhGw4+O7uJbh2UYNzaArCKokIwKcoq4B2ed2MVBO+Q56x8N3PvCis+JG06I2CGaby92aW9xaG4MKOY0mXB2Xv+7ywApJOyzCC+MCrvikoI30OxuATCtq\\u002fBQloph8ujldUpr7ROjiMWEWEIwAX3WPgpIDhCzR0\\u002fYrnx4d2p4fp5XLiFd0yplXA3ZoiII4IS9clx4YhebbFCCrC5rqA+EwFiFUhU3PPlSnLP+3sDslxPEPTvHzJiw+Ejgi1NznH1cF5M39KFIeRhlJfEUtcCajGLnrYrccU4rl92e5pIb62npdmhMDW2a7EiCYNuCP2zXvL3YYee1fIrdkCuocu17\\u002f\\u002fcnkHInanR6jChiCemz3CxDET1xW1b18QyGYZ6mKm1hWryX\\u002fwhb1Ny4fUrmenrX4pYMgTSGGtkPu0WBroyCUIhh3kfOco0yGk5EUz3bM4rNJgTMOKGLE\\u002fbJ2sKMSH11AC\\u002feS7YZOtodLr22iavuTtOZUzSmTDn3DmG3n28nB9Un7E0qZuCTVZ4Cm7Pz2r53XDcH7VDgnH80cuszceKekHBZY+rfJUyntXRqFrQ47OxC0Vf05HRNj66wHl31+xsGYklwEvRpje79IkCwHn2Yhi0Oc8GM81HNwzYQSwqJur7pHMF2wTQitaWkQnLl\\u002fTY7C+u9JXZ97rlrjqdxtGXT80X42kFZHri4hRMOyCCh1PNA0lBCb326igs3PZRi\\u002f3Ot8mox6FVereQpRGwn198fTLLT99fiiv9Y\\u002fUJnKXXzTujSyi2wZ7fyu692MrbO0J5d+vzzkQSFbUZ54wNbG10oKRZ3arx+wxwM1pun+997YeieqBMII9A+iJ4L2h1Wjz7clXELaiYsA0imhVSj2FLYitc10DCAYlwUJS1Y4oArLGx3aO1W9qKtogNYWYg6zDp6NJtN8Lnu+x1c9e121hvrE\\u002fRoOydsAOMxoSKKU2eYv9jlpF8187mfj+HFd63yqqMGHzHclBY6MorTrm7kUxeO5b+vxmzd\\u002fFLW3lELLAGcelQ3cy5u4bN75OjJKfIrMAV2dUIA5QrvLHbBt4o7nVldJWFmsERcXWjoqmIDSkPDmAFkaTSKkvhgFgP\\u002fY5pxUfgipfnl0D2EUliVkzoh1WAI+gnqGyCNEB\\u002fAq4vAe60OOLCkU9Peo1doLPCqRqS+ms0rSkbx3SN6mH1RC8dMsRrqZhAN9XJ9elIwGq68uZ79zhnHNQ+kiMeEdFSfvpR9CIzVm29MCfe+EOfAGeM4+0+N9GTVUkUutLZsddCj2XRdn+t\\u002f1MY1325n\\u002fTGGjlBYciR796jYZf5HDgSKha265rFGHj2FobL4w87xExrGUR22C4KjwLCIvPQAMON\\u002fKXSfEf523EWU+g1XJDRKD+qa+n7MPlkV9QhJqJL0IWRRP+p0CNodlnQ5mGLtyRsjAZEoRnuP5hOblLj5jFZ+eWoH4xsNwVKMxJSVVw3\\u002ffT3G0T8ew2l\\u002faGJRh6YpkotehrVy1Hse6b39+N\\u002f1TDlvHHc8aodD6sGGQ4b5ewnnxJ14SIb7L2rhpP2yZIu2um6kenfB3jPvLnHAwBuL3HKEFCG675II9f08ejSws36sgKm61wQXUPI+FHpWywENgOEydPtUKwUZjCzGUfbpF0EBATStY3A86aNe4gNNGOpCQq4SBtuV9GGH4r0PHDpCUm6kxe2V6qtKwY8+0839M1o4aLc8QVZhBgl7I++q04auvOKCvzXwqfPHcuvTCRpShri7YqmuwFgv3VRneGm+xzE\\u002fHcNXf93Mwo9cnDopF94MdFwQzokb7\\u002fPn09v51w\\u002fambS2T0f30gcxDgvEar619TiIr3jx3YosTe9bEGAMpiqSjAy9ee0wjdF34xLe2x+oqe\\u002fmgeXuiVlRDO9p76EL1Dw8BRXCHdE8rLETDV6sN+wO7Z96DA39Qijo7Upa0u7wxocumYJ9fSTZeaSh3pFR7LVFkbvObeXSr3ZauagwrTWQF4\\u002fINp0Q7ng8xUHTxzH9ugbypZUrBhEtCVLhcMir702zz7nj+MvtaTscchCyToXHGJGHR++T496LWvjukT2UDGSWomozHFCAMcL8j1zmfWQTUf0PTQNrV2R7IFxmGkjWCw3jTNVcN8DgKkAtABCZ5qhhuh2Hx9BtI4BWh75VQMmbeFB12\\u002fgwfqLgDiDLvFZfib4ytIIgUDzztsdHnc5QCuNXCyIv3pVTxF34yYnd3DujlT22KxBkrDrJgF48fAQ6dYb3ljicelkzx1w6hmfe9miqk\\u002fLDY2UjEqFoqjN80Orw1d818emLx\\u002fDC3BhO3eBkXUQeBhnFhKaAX57ayQ3\\u002fr41PbFSio0djGBlkXeStYy48MdfjvRaHuEeVOSqEtVT1wQY+jJtocGoVywgOJQHFGwDM+WjYnm\\u002fDcqoVCM\\u002fsFKlqv9n\\u002fMahCmjPVaKgfZ2zRTG8hEgKsq4KaSrCBgBsX7n8pTnuPxqmeh7XaEWmod2YUU7cucM\\u002f0Fs44oQvPFYJBpqlUikGII1xzZ5r9zx3HVXeniLkVZNsqPr6y3nxKuP2ZBAecP5af\\u002fL2eXCEk6waJJBwN4itMVvGp3fPcc2ELZxzbjVZ26bIic+JWFoxAzBWeeDPOuy1O1aiukDJiHEEf96KUTc2NnWhQMfoKZFoiTpMJSohYQ1\\u002fy4LDdicP3TO1+JjxoeYtMAKKcPut0Ae3B+PVNDbUZxboE9JvWZF8TiLvCC\\u002fM95n7gEBvGHHrkxTszti78N6d0cvf0VnbaojgkL27FIAzPv+Mx7dKxfOW3zbzX6tJUt+xk24rChN\\u002fXmBJyRcVZf29k\\u002f+njuO+\\u002fCXTK2JLcQby71raqrikp\\u002fOQrHdx6diuf3Hz55sStbESTY+9\\u002fMVZlEArLC62tAur7he5RDn3cRLHiFf2P35YWdqFkLlChfrz6MXynd9\\u002fwoAOZiy8ZnH4EugHiwrqbGgK\\u002f7+hku04XxitTsxBJK1v48OYiF3eYcuhu2EramVUcvVueBy5s4dvH9NhsyyATTyMD1ikhU4JL\\u002f9nAQeeO48bHE9QnhfgwjzkqD4esM\\u002fz3LY+jfjyW71zRbzjkAPuntU2dmoxmn+0L3Hd+Cxef0LVMc+JWBbSCvK94d4lTVSijgBKKCQSkkF5hUmXlzuoahbHrWyKuz74rBAdQ6iO1x5sLI\\u002fXj1XZQ\\u002fTBshq4URgRFs\\u002fcaqMW4qlqAAhi\\u002fgSGWkrLCZkTIpTCsQ1A1r7rPd6zKAxgAUUqsPaNYq8Fw1amd3HBGG1tuVCLoCYukBjjrgbHFGzolzH42wSEzxnHGtQ1kC8rWpw+Szx4MgxXbqOWwrGhJkU4IWgu\\u002fva2eqeeO4x\\u002f3pVCuXWoMlL+PvHsQchVnndjF\\u002fee3cOB2BTp6dHmSzOqGCvetepltjWSdfhGkUlAqQcM4w7iJBqrTuBJK9DwLDNsU1QjDToeobV4tAs+XC7zLLwAlxZgJhsZxgl+qyF1i10zrEgz\\u002fAVTAtpIqMgXFCXvnmH1RC189ots2g+QHziUbCev404ZFHQ7fu6qRIy4awxNzYzSlZbmUV5VSuI6D6zqhl602OxHBGIPjaFzXQS9j7ivy3E11hncWu3zp180c97NmXpvv4YTtrwN598o5cTtuYZtkfn1yBw1JqZoTN5wIsAVaEwkIRw2UIYGiaR0hPlYQv\\u002f+L2E4SUY8Aw1YRF2F47WRW+P0ij9rCgl5TVwqkCPXrGBrH2\\u002fC9ojOQEoqN8KnD0P8cr25Eo4w6MooNx\\u002flc8512\\u002fvGDNjZZNyxfpbYXL5NtMTtTbdbsNPufM45f\\u002facOpXsntAyVY9Ba4WiNVopiqUR7eyftLe0YI8RifbW5RMDzXFzXoaOjm\\u002faWdrK5fLgdvUxGHxirN1+XEP79WIr9zxvHb\\u002f5dTyGwS5CBhkNWzonTGv7vuG7mXNjCkbvk6cgoSr7CHcY7NCqUaSJgAga\\u002fMnoUUFqYuFlQ6+BsIJAzgjbWow\\u002fTcMUIw9y9FkKbZ\\u002fA1GNFVSWQX1t\\u002fSMO\\u002fF3j9FBMkEDGOUYaE4w5ZFczVkigolcMoBWaZ\\u002frpv11i0hGXuHDka2aQechOH1eR7Tr2vkxicSOAqa6+wElKF6caWsgWfzBYrFEq7jMGnj9dhtp63ZavLGbDl5Y955dyHnXXIVgTF4nktHWycnnXgUJx57CK+9MZ833nmXp59\\u002fjRdeeZPungxaa9KpZLivS9+RKGBoTBk6s4rT\\u002f9TEf55KcuEJXey5XR6KmmCAQiAnFJ8MujWbb1TipjPauPreFBf9u553P3JpDCWuhkM4JAA2UYYYVguq8u7UDmy4TQBG9fc0QlxrCuYdkjIPGLautQjDa+ivhAfvxOaSDd4jptfHF0MUaYSFM5tsH\\u002fDov6VPaC9Y\\u002fa6NCXivJv++atFbvqrYZkOfiz7fxZF75MBQnvlWC5ViEIW84qob6vnpTXV80O6UZZuXpc3T0ZpiqURXJsfGG63HgfvuymePPJDtt96Msc2N5fc9+OgzkYaXZYV8n4nrjGfqnjsxdc+dAMhkc8xbsIib7pjNrXc\\u002fwrMvvY5SKjR4qRn+94fVm7cDJh56JcahF4zlm5\\u002fK8KPPdNM8JkCyNina\\u002f3musJ+L5sSdckSG\\u002fbYrcM51Dfz7sSRaQyo2tNr9lQUV\\u002fmxCqY\\u002fYhFLgl2DcesLYdaXG6CAxxNEU5BV2fKtFpqNr8U+rE8MauqvzMTJzmqN2e\\u002fVDHHmapKYyG6kAAhg70TBmouD7fddtCphcvgiraZ8J0zF5KwjxncMz3HdhC0funUUKChmkrtsYLFmVFh55Kc5h54\\u002fl9D810pbRNKaWjWyLqrk6uroZP7aZH5\\u002fzLR648Qqu+tmZ7LfXzoxtbkREKBRKBIEhV+g3AVApSiWfwBgKhSKBMaRTSbbZYhPO\\u002fd5XmHPzlVz3+wv55M7b0tWdIZcvDJm4i5Yk9UlbLnrJjfXsd+54bngwhYr11s3XOtSoiy\\u002foVmwy0ee6H7ZxzXfaWX9sQHuPfXF1NMlEy8PxBKxLQKW4odJQKijW2yIg1miQUj8+QZQOC2UeUSDsO6U\\u002fA7XaMfxc1viwWsjIoxQFKhNpCqQEsUZh\\u002fS0CSrm+aTYfxQQM6xJUhVWrAk4oRtDRrdl2oxI3ntXGb77ZwdqNASYzcCtppLyi04bWHsUZf2zk8AvHMueVOI3p5ZNiMiIk4jG+cdKxzL7pSs78vy+z0foTCIIAYwwiAkrhug6OY9ft\\u002fRGF\\u002fK7r4GgdknNCEBhSyQTHHXEA99\\u002fwO37\\u002f0\\u002f\\u002fH5ptsiB\\u002f4y8TSB8beYE1pwyvvuZzwizF86ZfNzFvsWrKOQcg6B0xRYYqKEw7MMOfiFk45MEOhpMgXV\\u002f3aPVoebkTAuH48kBhwYzBxcgC1Kjc1mpwYtNwNwL4PDrsUx\\u002fAb+pzwJBjuoxAEqL5tKALgChttG1hpqUgdBXshGjFsHFYsrSpD79+EcvZne7j3ghYO2iWPydqOraWSbXHh5odT7H\\u002f2eC69qa7s8Zansk0rhR8ErDW+mek\\u002fOIWNN1iXYqlEEAQ4jmXPlVr286GUsoSeozEiFIslPNfla188mgP23ZVCobTM6TghrJuPC4mYcO2cFFPPHs\\u002fv\\u002f1OPrwavm49SlUFGM3Gczx9Pb2fmD9qYNMGnvceui1dVk4zBipxsoUp9qlyisL1hjGHjbQPIVV17E6aKX8dteNV+aPjbLYbd0NX54Xlc9ObLwOt4fYMcrYG8YqNtAxrGC0FFmBTl1LdUJWIDqc6sIHqbUDSfnFzktrNbueikDppTggnVVGp68bCAwqkzvP2Byxd\\u002fMYbP\\u002fnwMr77v0lwn9gZexh2ODNiIEPc85r37AQcc+y3mPPoMMc\\u002fDcRyCILDefAUQGOttYzGPlrYOTvq\\u002fC7jymhtIp5JlYm55UnEi0JgWFndqvnVVE0dcNJanX4\\u002fhpM2gdfNRk4zJK47YO8v9F7Vw+hEZAh8yhVXTJGOAZgwbhWF75faDQDFxi4D0WoJUVWyJIaEBuVft\\u002fExJpCpxPCwYdkOHsMHlOALgZhIKlPShNySAeLOw0TYBpl+azUexPgETV3KardyEklXEPeHiEzu59\\u002fwW9t6+gMkoK44xmBdPCiUFv7vJikFcOydJMhx57AfLfuW11mQyOYqlUtnjxmIec998lyO\\u002f9EPOueT3tLR14DiOfRgYCcP4pX+TiA3Xg9CInfCBctMdsznw2NP4679ux3NdO9Q+fKp192TD87RsZzwwtkS5IWW4+\\u002fk4nzp\\u002fLOf\\u002frZHOnMJJmQHr5lWFd1+7MeBXp3ZwwxltfGLDEh091mWurEIbDRRRbIVPXWU1HL0da1vsHoCW6gspSlM0AWLuA2DOlBFhYyNiJ5gT7ofj3EPWFFFK9697RwmTd\\u002fPpP60ywCp\\u002fbKeKVU\\u002fe5UVlE8oB2xe4f0YrZ53QTSLWm\\u002fMd0IuH+ulPvx7jyIvG8u0\\u002fNrKkS9Nct\\u002fyVbY6j6erO8KkD9mCzjdeno7MH13EQEVKpJMYIF\\u002f\\u002fqz+z3mW\\u002fyuz\\u002fPor2jKwzBHTzPwRhTM0VmxD4MXNfFcTSO1pRKPrff9yhHfvEHfPZr5\\u002fDqm\\u002fNobAi15ByHQrGEQnHM4VPxPBffD5bZ2MsiF0khV1LMuL6eg84dx+1PpNCpwcm6yiaZQ8ImmbOndQP2oeyuYKFNb+WlsJUq9Ym6lYJSEcZMMDZ\\u002fXuF0QgQktCZv3sHhIQD2fXBEDAEbGYa+L4EIirj3DEV5g0S\\u002f4TYKKCombm5YZxNDKV8dvm+OzxhMVfXSsiCan9WZsaOHfn1yF3ed28oOk8MmlAHKM0UiMQihI6eY8ddGDpkxlruei9OYEjyX5Z755jiazq4MB07ZlVlX\\u002f4R\\u002f\\u002f+kSdt9pG9rbO8sGphQ0NTYw9613+c7Zv2CXg0\\u002fi+zN+w50PPM78BR+gtaa+Ll2108lEHMdxWPRRCw8+\\u002fhw\\u002fvfxv7H3E1zj2K2dw6z2PkErESSbimMDgOg49mSyJRJxfX\\u002fRdZv7xx\\u002fzwm18gXxg6G98fUd18c1p4dr7HcT9t5pu\\u002fbeb9FmdQsq5\\u002fk8xFJ3dxy9mt7LVlkfaMzYasSDhfCqPEDQgoVDgPuz5XbLxdQN0EgxRrPFQcQOnZave3ukSmOcNZ316JEVBkaCEzcdRxBPLY5r8gpb9HxpiQmAPs7GndIDxyTZyHZsaIp3q7hQzWq88ixX8lRpylN7JEDLmiN9zOFa308VG75vnxiV1ssWkJ8r03TtU+hwbuxAQcuO2JJOdfX8\\u002fTb8aoSxrcFRxsoLWiUCix3sS1uG\\u002fW79hwvXUA6Ojq4bxLruL3f70RFKRTSSQiBYBiqUQuk8OLx9ho\\u002fQlstMG6BEHA08+\\u002fhjGC42gKhQJbTt6EiRPGM2\\u002fBByx470O6u7qJJRMkYh7a0RgjaK3wA0NPd4Ydt9+S3\\u002f74++yxy3YExqCV4iunX8Rfrr+VpsZ6ghU42Ghia1dGMXldn7OO6+aLU7N27Z5X5XFU\\u002fVGuS0gJuYzi5zfX85tb07R2a9IJsey86vvewaCwhTHTVI5dKJLvFyWKwPFn51l\\u002fhwDJ99sng5BQioLenz1fnY0tWxh2xh1GkqHb5Z+Rp7fYEV\\u002f+i1WSq6w4RLnQtkDz17OTtvZd9b4WA95Fc7XULfW7oiGFhZI1bK1gXINhy\\u002fVKfH7vHKccnLXjiAarTw8ll0gZ5r\\u002fnccm\\u002f6\\u002fnr7CS+UZZNX451eH9opcjlC9xwzaUcfsBeBEEQMuN2p2695xFm\\u002fOwPPPviXOIxj2QygYggIjhaY8SQLxQpFGy1XDIZL29bKUWhWKRQKBLzPOLxGK7rhKk5u04v+T6ZbI76ujRf\\u002f8JRnPl\\u002fJ9HcVG\\u002f3Iyy1bWvvYsrRp\\u002fLG2wtIxmOYFSQCo6EVfgBH7prnghO62HqzIuQ1xh9Ezz6sNCRpePqlBD+5sY7H53pWNzB8BiZjNroa6NpEufO1Cfiq6iFBrzqU0lDKK9bbPODz5+eqByoKhrjSFMxr9CR2UQe\\u002fmBnujrVKjCRDD\\u002fdlisNji+4l7exL1gRUasSE3Sw3\\u002fyzBq486xOssURe95ALXSYoX8UgOohLbk1es02TYaK2AbTYsMXXrInttWWCdpoBYnUBe9Rpyjc8bCbXPS4q\\u002fPZDkx7MaeGuRQ0NaBm3kWBY4jkNHZzdf+8JRXPXzMwkC23wCdm2NWI\\u002ffk8nyh2tv5uq\\u002f\\u002f4fX3piH57nE47EwzdZ7eY2RqnV6lEe3\\u002fxNGNkGA7wfksjkamxo4\\u002fMC9OP3rx7Pz9luG2zHlB02Uzrvtnkc49pQzice8FWb8IRwmiW3xndBs+N6R3Zz6qSzpOoPJqgHrFcrePSFQUixq0zw\\u002fL8btz8Z5+u0Yb33g0NrlkEoaXF1t7AoooDiUPPupPNmKkFJryPUoDv16gU8cWcRk+qXVRAIaHIcec4H65NzpNmyfNSLW5zCCDB1AZk9x1dQHfXl08jdJOb8j2zd8FwMqLbzzhMe\\u002fL43juOHFCsnPBMIreFwraZx+l1GFN7KjhXOO7WH\\u002fHfNstU5ArMFqfWEAf+AwHUKv4QIJw7OvxTn\\u002fn\\u002fXc+rQdc5T0Vt6EEhVWrY1pbuChW65i4\\u002fXXtYx3vydPpfF\\u002f1NLGLXc\\u002fzHU33MWzL82luyeH8X28eIyY5+KE5F3\\u002f7zEi+CWffKEIxpBMJVl3nfEcfei+HHv4VHbbaZvw2E25fLb\\u002fPmhH87mvn82\\u002f\\u002fnM\\u002fTfXpMnu\\u002fonA0lHyrM7fP1kUuPLGLfbYvQIk+c+H6o\\u002fyQ9sSyUA4UuzTPzvd4\\u002fLUYl9+V5oM2h1jFKO3eugzh66qnrPYK1pv7RWgcL3zhwhzpMbZbrXwqBMFVCt9kMc6uau\\u002fXXoki1JVyIlYCRpahh6GOPLL5uihewFPjKEnvwKaw3DgA\\u002fnV+gndfcYgle4tmo\\u002fr3v0qaN3CplPFSYd66MSU889MlrLNBCenUvYohqrcnucZ+2frslNDVofnd7XX86tY0Ld29pasrU8XG0ZqOrm7OPv0kLjrzG30MunrfpLzuBmuQr8ydxx33P8rzL7\\u002fBW++8zwcfLqGtswvP7W1tUGGHWyIeY521xrHx+hPYcvJG7Lf3Luy9+w40hOSdjQJUn+igEpGHf+aF19nvmG+sdDWfaAxUV16R8oSvHpzhjGN7GD\\u002fORzK16+ahrwOItNtJCCg44jyrmtuU7hXx0EAWxcEqz0Hk+6zNlYZCRrHnMUWmfKWA9PSt0EQwpLQmZ+5Ue8w9dCSF7BFGRvdaCKWiVO3cD+TRyTcQ118Pm1xs+B7mMJ20sP1+Pu++XN3M4gJ7UuStfocWXey2bs27LZrxa6vyNM3BEBhLtikN9z6V4LzrGnhirkddUsrKqysTSilKfsDa48fylROPsn8bpLhbKYXjWM8sxuA4DttuuSnbbrkpAC2tHbR1dHHvg09y5sVXAOA6Dl1d3RxzxP6c892v0NRYx3oT1urjrY0J1\\u002fpLSU4rbUm7nbbfgsMP2pvrbriLpsYGgmDlRK0i4IudDRcY+OV\\u002f6rjv+QTnfLabaXtlbdalUE3WVT68UWEZck6RKyh6QnKv8r0lYDwBO1PsU9cOlghONwrb71eCUlVKzVa+CRCoq4GKseAjByMjvVaJWSgRFK77e4qSw7Zzl61ZaaCgmLxrwNobG0qFXmUPy5gqJimfzfHJV8b9hJJBRXj6rdiQhA1EQjGINofTrmjiyB+PLSuvar1qlFcdrcl09\\u002fDpg\\u002fdm4\\u002fUnWI85hPSVVjZvbvdb8MOa93Fjm5i86QZst+WkijSRIij5TJywFttuuSnrr7s2Sil8v7dOPiqFXRps1sKeiBM+c3CYjlv593h0rpvSwusLXU78ZTNf\\u002flUzby0K6+b7k2P9IAI6bienvrbQIxnv5VKiwqtdVImx\\u002fVK0WkMxp9hyD5+mDWql1MTmzrPBS\\u002fj6HhFUuStzBGHkGfpxGGaguOPVFymae0lGSmO9MCXwmg07HVKsKkGMwvc9KdQU2\\u002fdcmPlYkqAw+AQXAyhPuP7+NFPPHsfv7kzjuUJqFSuvBsaQTCc5dP89wn1e9i+K1GW01mXjzWRz\\u002fd9EsVjCGIPv27LZSGVmWfPiWtsHzH577cxmm6xPvlga0sNpeRAYy54nY8JfZ6eZetY4Lr+xjoIBowe+LgpbzHTviwk+bNfleXyRN1+HgF0oUqh0DsrKOacbhR0PLoHUWiMomx1y1NVq6qs9zJqmy2XdIwgjztAVCFuj1PkYHP0HigKi+gTY2gFyiq329pkwKaBUoMqrb6Z8dlClPhfOCCTjwpNvetz+VAKdNjULWfxQnPEv96T53M+aebfFXa4xR8sKrRSFQpGJE9Zm6p4727\\u002fpFZPUiNJxtWrTe1+rJtmW7TvsWj2ZiHPAlN0olZa9+WVZEFUYNqUNbT2ab\\u002f++mR\\u002f9pRHtDZxpwYFMp+ZP96eIub0VirbgSrGPKoRDQfoeVymv2GqvEuMmmeq8uSB4SpENFuHHrhVQHDdrxBk5jEBDB1DHEQgodnv9LoryBEml+mfLxAevQdjl0BImqF43GWAfCjT2q4G3pJziJzfWk+lwcPq1GQYG3JTw0DNxfvDXBurSViZptSivhl1p2221KU2NdaFQxGr43pWA6BxO3XOnsEV21X9nYOx886YGw+V3prny1jqcdPW1sr0Hhj\\u002fdm+bZdzyScSkP8c2j2Ayf7Sn1qYJDWZXXdJOw86dKA9QuiyGpFFr9Qe39UjszR0YDSy2MSEMHYPoURykCHLkUQ5Rl77NWl7xiiz18NtgqoJjvZUIjr742AXtQoFRxAY2xxM4Tcz3Ova4BlRAC6dUtd+LC\\u002fPddTvldEz15hatXn7yyUmACw647bo0xhiAwYf57xX9qLQEixn5lbd8YYfIm67POWuMolZatd315EXn3VEw44+8NzHkqgZPqnVPuB+DWCS+9FufiG+pIxnpTarbQSpiq8nj0hvLRtSjmFdvvV2LMxgbJ92PaweBpTY\\u002f5EMf9kwhquOWiBsPINfQZDwYyfbqmzdxJ3jxOQmsqx9gpu3J30sJexxTRWvoMudPY4oc9VYmN8fs8rX0DDWnhirvS\\u002fGZmPW6dsXlXF7qymi9f1sxbH7qkE6uGcBsYCjGGHbfdHK0jZVa1Qj+eZ7cRj8f6fpWA67porVbK90Tb2HiDiUzaeD3yhVW3Tu8PEStUkS8qTr6iifkLXCvVVVK49cL7ixy+fHkT7T26PNBDY735bqrIpH73h1I2bz52omHXwwdg2kGIK4Uxf1C7vvIes0ZW3rw\\u002fRnRgWC6LfXTyUST0TeSlTwFN+B5UDG79VYKXHnSIp\\u002frm1WMI7+ByjaT7qkmHqbpioPjep3v4wdE9jGkKOOmXzVwzO2UFGldzgsQWypQ4\\u002fKC9WWetMfilZe8M64+IZFuwcDEPPPI0YCvq8vkiW22+CXvuup0taV1Zt4KCex96ivfeX0xsJVXKDRWuttV0e21Z5O7prSSaDE+9EOO0q5p4br5HXUikRsUx4zF8VWWqqii1hnzWVsHt8OkikqnKmwse4MuHJMz27PhWC9NDXmmEYkQbOoSlsXOmOHiL7iOtp5A1AaqXnBMBFYfWeZprz0tSKvQ2SEBvxdxtJJktcVKVFU9h4q4rp9l1UpENxvvc9kwCbxgHMyqlyObyQ1JeXRY4jkOiwqtH1XeFYnGQTy0fEvE4rquHZRSWo6Ezqzl+zywTxwb85f4UnTldNvIIAYrPqwzbUOqThlVhOm39rQKOn56zadhyVVUIkYA6x6EnOFPt+cYlMnOao44bOeWutTDyDT08ifLIZnsT0w9gZysqKvY9Ko194voY9\\u002f8tTqJO+nh1jU2h\\u002fEXSLMAl1q+7zdFWqaQU2B7p4R7KqLXN2Kys3bDPs2oV11olrSsDImZYz6FSdpBGsQjppO1giw5dAzkUe1LkSJWtOelHBD53To71tjdIjmpvHleKorxBMr8bO7zbGX7niF2fw0heo4dQx80KZDpa7fXmwxTNP0lp3Z+BV8oSczsfVmLDrQOKefoQc1ZIAA5XeRI1ml0CY8mcptTwGzmEJJmY0GBW\\u002fMduq8aBiay07+j7s\\u002frPWb\\u002fDIulJeaR0pZEXgPUJOFDl6b9g0RoKOcVOB5dYb4eg2sgBFMZy62q6+sS7HeHafATcNYNjxHt0sGt1QHh2003x3f+iaAip9PL+R4MJF77o8M8Lk30YVLA8XRLhIeLcKskh9awPF0oBGLNyL41SdjRwJQIDfrCSbwEFMWfkpQUV9h5wgC+rDJv0q5y0bagwbj3DiRfliacFKsZ1AzZkTzsOWXM\\u002f7zuHwtYB02aZUUNfiSiH8I9ufg51+kJ6TIDqO6BFDKgUPPSXGA\\u002f\\u002fO0ayvjfNAuUuV2aR5GmJDdjKOlxwtJ0q+tMvdLHnVkXy+RXXMDfYasA3P3D50bUNZPKKuAedPZrPT8nyrcMyZHPRhN\\u002flh2Br8gtFxRl\\u002fr+elBR6pmCyXdNaqQJRyPYIce6kCuX4VcIiddX7sD3Ns8kkfyVal0wAETQBqb7X760+MtA61wTCimloGxXGz7PTV+fmf80HiGBJ6B\\u002fJ921iVAinAJ48rsmCuw3uvOsSTvRLRYG\\u002f8w8jxEZr3cavKZIcbJoD1xwbsvlMesmrFF1cCxIS1GmLltk6lBFOCjdYK2G3nPPSspO9xhe5WB2Pqy80kI8HXRevy3VWRPSjU7IHIZWDPzxTZ5JN+Wd23L8Qn7br0lH6r9nxzjTJyWAPW6BEUCLOmabXxu3k030WkhIP0icDDBbmXhINPLpCsF4KKvuEorZJGOFrlSY+AAY39oRS8+r5LkFX4BStxvCI\\u002ffvg7W+x3lMr2epu8orSC32HyilJOYUqK91oc3mtz8dyRwXdERr4pPoeSq+pMU+G6fP0tDXseV0KKqjqKEgwx7ZL15+I6F4ugmbG6jmDlYI0xdAiJuZk46pNz51CQq0lpB\\u002foRcxpMHsZvHrDvCUX8Yt9ih6iQZn18PqNy5bXbSDB2EUsIPT\\u002ffwwn7sPVK\\u002fOkPtZK3rx2Yt8SltVPhOauu8WeosLLNtv30MypHnL7XWoVlrsk64aBTCnh1Qs0nf6RJLOqHarfXW5k1snPmtbBGGToAr4RlyvWxs+kJ3iChnHKfZAitQLKKHT5VZMeDSuR7wkaY6HXsU347fA5XOUqr+RAGg6Phtfdderp0rTXiiIUCEHh8bmxEEHFR9JZEmKZyrDXA2C6\\u002fpNjviwXW2WoAll0ISGuHgvxJ7TH3VssVjaxe86FgDbqVLNT5GKaj1HYvtaPU1\\u002fHFD1sJ+obwgPiKqV8ustE2hkK2rwacNXbYnRL7q0KV2udwQATinrCozeHR12OQWH119isKpSAoKu57MY47zN68Mkr7jMqzaS1tAg35jGLXw4tsd7CP6V\\u002f9BpHgo0PGvE5O\\u002fT\\u002fbaz5rBCxIlh1rnKED4RTWMIQvySWktUb1fcqqcL0eSxsO\\u002fWaB+rFi21n7HXEJOIACe4wAYxes4k13RjPn5fhyE1mRfFI0KGGw\\u002fvno9WhCyvIYaGCAhPD03BhvLnSJecO3Po\\u002f4P4PiaHJsR7GPyCPYvvR8VjFpJ58pXygixRqGIAgOQiAlCnxTHfh6K6x5IXuENdLQARvCyzSHRPdP6DGPkNIuUm3sklM0bxhwxGkF3Lhdk1WSc\\u002famgE+TY9dQx3s4T0pgIJEUbv5vgo5WB11rWucAELHdWgormqETgpcWnDpTbuboDydliNWJnZASl\\u002fIMtGWtwFVauOmpBG3dYePIsn18pSC6niXgcJVjF1Xqm0YjzJfnFOPXMxzyjQKuh62oqnrCiyGlHYr8WO07d7ZMx12TWPb+GO5odYVQbnp5dsvNKJmHUWptSjUaXwyoNLx8l8ttV8ZxK1Uj6S2TFeAGSfIsMRLDWFCjlc2n\\u002f\\u002flbHXz5sAxBz8CKpxBWfkmoUJs0kNN80OLw\\u002fHyXJ9+MMfcDl\\u002fmLXV5f6GIk7M7yYZ1mw9YblNhwXMBOm5bYZVKRDccH1DUbMJaRjwjCgW4UCdNqH7W4fPLscVa9ZYCHyqpEpZEfRp59VKFvfznWyP0SpOqEz55TYK3JA+TLo3V5j9xNae3DmfOgWVM9eYQ1J49eA6FasaPUa2\\u002fKI5O\\u002fToJ\\u002f46AIkMprrDRIBrY5uERni2LOP2MkUr1KoZVVU8eqHDGBJ\\u002fBIMHyeyXXgirvSHLtXjlSsVyihEmWN+biAI7Qscbn5nhQPvBTnwVfjLO4I9dfD0UepuJQ\\u002f57rwQbvDO4ud8kDJmCtsu4HP1G0LHL17jl23KIJjy4ujQRf9YQw4Cfj9vUnmLXb6KKuuLkTXL0BxhMqxZygJ1cfIlZWFclw4\\u002fLQCa20eVGuzAxgMCeWQNQvQ5itq6oO+TF+DI98Qa7RHjyCzcdVUfHlk8nTq3Rn0BFVVcwgYBToG9\\u002f8hzpO3ecTTvc0v4VvQ2JNyOwkekTjxsINmdRt8NMn1sq908q1jegi6FU7FEQXG3rTEhHkLXH5\\u002fT4p\\u002fP5Zi\\u002fhLHqpaGzRzQu1Tpb4Ba9Xb6RT+5kqJUVDQ3BEzZusj\\u002fHZph3x0KoMPJNYryXWMMqLjw5nse+507jvYejeeu3mq4qJdBAUeoHLvXGKMUtSQbA4d9s8DWB5asZHP\\u002fLsVoXa5UkcAcoPZ449FoVNhqO6BVhI+HoYNiJpppCI9Nnkm9cwzdxkf113wGCQX977kyzjN3u32mvYRvQYc\\u002f90mCB4jh0hvary4obM372HrhkYuWsOFEH1NQZfVZJynkujW\\u002fvCXNFXfX8UGrJhG3rL1W4Ro7LCEwYscQVXovRe\\u002fAiVh4liQM65WyI6tyRUXMgaN3y3HWcd1sM6mI5LQ94QoCsVLYJ\\u002fx0DNc\\u002fkqIxbVarN4\\u002fy5AngaJVlh7DltMrIxYbsh5xSZIcjSkhPzTSaoDEktEOm9E2111tXflyMHD4mhg5h3zrAfZs0UO\\u002fdTkLvSaa6Hj6yZFFw+2\\u002fjPH+\\u002fS6q+L\\u002fkUNcTEgCckxm0kCLB18qszKo1q3w\\u002ffKc+sM9twQubQqTM89WKCb\\u002f+xkafeipGKGeKeNTwd3tj5kp1fFgQ2ZG9MC5m8Kh+bb6C5TtAI77c5ZY37uCfEnHDdH26rK6tYu9Fw9rRuvn14BoBSwWr2\\u002ffE\\u002fab7xhybq+pUar2pECjFjCDhO5coptJpGXlDs\\u002f+U8uxzjY7ID9A8IAXXaodv\\u002ftdrrze9GUeJqOpxVjo+NoUMFOTd7841IcR+O2pSCVDe\\u002fCODYuvK7rojz\\u002fGyPRL8wHqzBJxFewuMmSdKNKldXrS44GjoyinOP7eaCkzvBKH53S5rz\\u002ftlIV0ZRn+prYF05S9xtsnbA7psX2XfrAttvVuSltzy+c3VTmMIT2jsdvnNED985ppt35nv8960Y97wQ5+UFLq1dDumEwQvVUrWy0UUmrzhxnxy\\u002fOrmTcev7PPpEgiMuGUOhqHCjh8MqRrRyyKHYEJ9jVY4JBNXsemjkQQmmfqHIrp8pWt23aCN94VOnXbr9mSx884RQ+03WhK60oWKNJuP6QymMzJzmqKmz5sucyZ8jwb14qrE\\u002fEx\\u002fl2B0HDv12AceDZ+9xSaT7evbohtqGEmOU4QaSzBeXZHj9V8ddYATqU8JPbqpnnWZDW4\\u002fi3H82koob6pJW7srR1giVgoN3KPD5KVkO37FA05hwbGg4SqryuBCoTwqbbuiz6fiAA3fNc9Zxiqfe8Jj1aIp\\u002fPJRkUbtDfdJYrXxthyf8fU6Sha0Opx\\u002fdwxnXNNCd06utSy0i3YoodlRFPk2ONNRMoRnfXssDTyqy41Ely67X9uQ+9dqlJ3iIdPJk9VkCmTbyRiqtKD5WHj1Cedb6I5sdiqdvAJXAr603hwblCPf\\u002fOc6Tt8SIpULyreIyG2wYn0NxmyR4mhgxhKpC+1WEaEKrYPvHY25Fv7dAd06xy2ZFzp7Ww6d2zuOlbIrNhKG7Tgn3PZnguF+Msa26jtDW4XDGtG4uPqUTv8d6ZIUl13DgnXc9fnZzHX+dnbJ6+DEps\\u002ff5kkIre4JWVxWcXY8rXIT9VJ4pFJCwSqp\\u002fCi0o2d+HnFJg20+VbDcaVN\\u002ftJkyjFc0LlDhU7TX3gzWtK22oWOPTBrWgjiOQ6bhqrzfvoGg+D1LCoUobXpXzMor9v1Jkn88VCIo2pK8kayLSJ45wrMpxlMrhIautuCbKZWtl19ARiiVFrqj40Wd6uPfCFo7YM4sn4HdpJOhl1QcaP6UqXo9ml5m8IsgoNplY4spvt3PDj9rYeLxPR49GK0sExlyr3LI6jLwyVB9HwIkqy\\u002f4UCGoYuXYsdxBLCEd9N8+2n\\u002fKRTNiNVpWbJCClHUrmVbIcpfaa+4HMxPk4Gjl8TA0dQJ2PL7Nx1d5v3ohvvoSrgtDY+9yakbFLCfY6scSh3yjY6qlidSNMEP7sTYGvqAwb45Oll+BalSiLXUovmTahOeDmM9q45JRO6j0wWV0uo13expLI8E1R4ecUn\\u002fpkjvsvauGIXfLkSr1kX\\u002f+oZ1UgOucFYCeKnKIybIFPLjzb\\u002fY28kFU0rSUcd3aBzfYKMJka7LqFT1I7FIP5ZOQYNXXu\\u002fI8Tw14LH1tDB1BTQ2Pf881\\u002fkjffQCtwqqe+RIlyycK2h5T4zA\\u002fz1DcJhWzfGyW6sbIo1iPgyyrD\\u002fqqAg5RHP62WtVCYF07EhMaUgRKomLW+qGZ9eVEeOxUW1SAgoqhLClIxe2xV2nilF6\\u002fHME3lOE7lqEfIQxXpphTkemD9LQI+d16edbcKkAw1xCOwnjyhXUpmHkWOVFPfeF2m436cjRw+ZmRcLaip+DITR+31xtXy2OY5PP6MUjFKIuGkVvu+qAgko9hkN5\\u002fPrSPceUWc+S9pEnZUeNmD9a4X4VBybKFK3CMJ3sbFCSW\\u002fV2X8J2JHEc3\\u002fyGW\\u002f6eM4fq8c3\\u002f50DztPLpYlb4OSKr93aUYZGbcJjVvFBLTQ8pHLnx9Icfntad5vc2hIrlrSLboYUdvwzqrIARQYH7LqUG3kYqCYh08c6LP\\u002fSUXidVK73dTCJ6VdCuZt8ubTat83Xws9+ccmjTYQPvaGDuGafTau2mPuP+SRzfN4\\u002fJ2YShCIj\\u002fQ9B1qDZBRjJhqOPyfH\\u002fX+N8\\u002fRdHm5McN2+o3YN1utsFHr3x4nxmMRpRxPHKlquKoMXwHMFT+DaB5Pc\\u002fkycKdsUOWW\\u002fLLtuXmTsuFBBoUC5cKb2yQHXFYiB9oRSp8Nr811ueDLJ9Q+neHORQ8ITGlKrLk8eeXAfKKFYn4D9VJ6t8P9\\u002fe2cbI1d13vHfc869M7Oza5vY2MYIvxQb24Rgl2CCecvikEKLlJRUNWor5UNFpfRTqzaVGlVp7H6rqlbthzZS2zQfmrZp7VbQSqGVKMJgSIECBScY7LWNwTZ2bAdsvLvzdu95+uGcOzM7O7OYlzW29\\u002fyk0ax25869s3P\\u002f53k5z3kOCtNWn4H\\u002fnpoNSEtw70NNNn25BTl+I8RBIh8xCTX3Cs7+sty974Avn768LXnBnBA6dFv2ff+mT61vUNbvkZorqDuHmXofifG952wJ7v3NBotXOZ76fsrke0J5qLOIpLhBi4YGW2hwo2Q8RZmXNKWGzGoJbeFhLKgq9abwyHMV\\u002fuP5CjeuaHHLmhajn2mwaXWLlcsz8j4XoPj58dPvJLx6JGHXqyWe3V\\u002fipUMp754zVEr+vYt96WaDThwuXIHjDmlwK02GcdQHWHGA2oSwZEXOfb\\u002fRZMUmn3QT+opcgZwRm1BzT1OXB2V07\\u002fGQeJsTIofLdHptJtp18U+uu51U\\u002f5GqXcVEn3JZOkKSKpwcMzz2nTKHf2QpDSnGMq3AxuGr5yzKIVKeocTrmtBCKM2yhS9iVRQmm75evVJWhsqOZQsd1ZKy\\u002f+2kXQDTbAk\\u002fszRjXlU5\\u002fBPLZEMYD3PxI5VOP\\u002fTZSLgVA2SOD4FGcNwkLW6jGTrBeAX2s+JZyy9O2bAl4+6vNhlepLjawHjcD8nzjGHCPUza+nXZdOjs5TqFNhNzTugAhcumT6xbxTD\\u002fRMXcxrjLUCx9ek9oDjIErRr8cGeJF36Q0mxAeaizGKT92vDsd4MRDpHwNCXGNKGBUEHbJ5itcLfo4ZZraCyR+5mB7r7uIr45ZO6ExHphF0thizn7j5vic+d4F30ExwZa3CpNriYnR9rBcm8pK\\u002fis+oLFjs\\u002f\\u002fapMb78l8orA5wFVXHAahYoSa+ytKI78jm15szUWRwxwVOnQV1Ty2fhFV\\u002fTvmmV9k3IFjSpKu\\u002fXqHX+1UhmM\\u002ftuz6h5Q3f2RJK34VWa9r2y14h3CAhP\\u002fTlNdImQyFH2l43WzXmxRC6bXO3UU3s51FB59kyxEWiGMjGTfT4GpyHNJOwEnPgSJ+bhyF6+\\u002fIGf21JlescOhEz2foRskpiSXXFk5\\u002fX27f\\u002f+fg10NcbhVv58ucFTp01cZvw\\u002fALa7+JNd9CsWSa0S9\\u002fEay3DEE+Cf\\u002f7aMpzj5SYOCOUhrWdBe45BCDsDCMcxfCClhgj4RQWA6R0NpO7XExNsdrPQXt\\u002f+qXkbJQWG2lyJW6wwPGueJ5BsyEsWe6448Emn\\u002f58C1RmsuL+lFVjqbvjZPqQ3LX\\u002fPzUUMc5VkcMcFzpMHeV193VfoWy+TclcxWSeodLflS+se0U5ddDy\\u002fL+nvLo7Ic+gNER7QOimaFZYxPDvYBgjYQ8phzWhGU5TxPLF4ZfKnSldzw5CXYEyBFxLiw3SYg0583G0BrjoEBKhzvdaH16g3HRvi1u+1KK6yMFkKE7qb8UdgjBihVr+JK38IbnzwMHLvRDmfJnzQoewxHUXVraQ6a51N1Li2wybO5lwxQ3Ud8JGHUjF18W98ZLlh\\u002f9a4q1XLWKUNLSn6RV84aoneFE3EI5heU1TDmM5hqWBX25nQj29cGFc\\u002fA9KtxeS4xsy+g0tlRXkXEeL9ZJxJY4EbSfZ+lWkmpD8a9b9XP76zTmbv9JkyVoHTV+5OLD9deGqqzpy\\u002fTPedX8o9x9oRJF3iELvopOkW1mhXP4mVr5BIpZ6qH4fYN0R785nE7D\\u002f2YQXHk05NmYxRknKXa\\u002frPo5Ok4sE775PILyN5aAmHCDhNIZxDEUckQRrP+0aPs5\\u002fQg+DbhAHZMEyl1HmoVwVxL1KHEvIGeoSd+HRTEuyhVGsUfMCX7UxZ\\u002fOXW6zY6PWpRR1A\\u002fwvxS+tGrGEyP0LmflvuGnsYOmHZx\\u002fAvuCyIQu9Bt2GKRoD63Np7EPOXVMx6xvP3t+7BnXfjwo+f9oL\\u002fyRu+MDYta9stnXZseFi84MEnrU5heBPLcbUcx3ICQx1Bu+rrbRB\\u002fd\\u002fntIOH3\\u002fr7fl9\\u002f9uyLGLvqxFQOToFRRluK4WnKWk7GSnAVoe1OTFtJX3AXG+JV1rYaQpMqqDTmf\\u002ffkWa27OIVW0FurZB96hmpGaBAvUdAdZ9nsyevBIjMf7E4XeB1WEnZh2Vn6+bge+RmJS6vlA695O1gXBN88aDrxgeeXxhKP7LK06pJXOYplBibuCwr3P8dVh4wgn8KI\\u002fqZYzCOMYagj1YF0LwQve9e+Onftcbvu5GDyKhwvnruBd8REcC3EsJedqcVxJTjUI3hcNTa0+GSRu1SDwujA0T1l1Y85n72uxckPul8hO+s6zM+xS46fYR4ww4Y4h8gey+fW\\u002fh85MysAj5zBR6DPQXSKpT6\\u002fbQsofM2Q\\u002fR81BpjkzrGNxLrRfLis0hMOvWF55POWNPZbJc4KI+sQd9I3lw6\\u002fblju0umuLt1j0cQbDOMIEwjkMZ9QwKUINqKkfBDKKlXfS3lrM4kMBC5REqahSFZ88G8axIIh7GGU+ygJcmCosBgJpx+YwwHIXpbftmnT\\u002fuecvUtZtzrjhroxl61yxIZ73igbH4X7L4rJJaDpQ+S5Z84\\u002fkrkNvFW3EohUfTBT6+xBuIiNCrjuuGWL58Nex\\u002fBZls5gJB\\u002f5e7+0nGg6mY50qCplw5m3Da88k7HvecvygQVWwVrEp7Wq7QdVo2vNzEd8XSTtf6yltd7t4dCz31CW10jVodLv\\u002ftuv9Crc9gynHwuCb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3kNPWvkF31trq3s24VlH6dn8OS21IxkHBZXD\\u002fP\\u002f3nUPJ83txEvFcq2mTsxncDzBl391Djc8t5QSx0fOtAcs4g1B1qAnMg7vPn4Xf\\u002f+2h6guTeFnnCgrL3HiGdr6K\\u002fijGy\\u002fikf1NzEl4M3l2JSxHaq0OqYx626FHPv\\u002fcm9nY36RXqymhzb30W43aD2+XlnuymmFPbkvFUDrGCQ19\\u002fPfau1lY14+fjmFJlbtgdnTU8Zmbz2fToXoqE5k3HR\\u002f9aES2FDeUirGquYd\\u002ffed9HNvYm\\u002ffdGYLN4FiC3\\u002fvFxdy3Zy5zEunpEZjWobBcCxXstYS4fN99f74zXyrszYQ3oaGbhudlZ369bDwu7rDs+NlRCW1KuK4ZTruc2tLNf11zN61VwybBI1UuBHxo5wI+dfP5dAwbjvXMddoijhQsqRjNuDSVj\\u002fNv73iAc5fuM8aeTdI5ISNpl0\\u002feeBG3vbiAynhmxgSdtOOWCjLPO7a4aO89n+uJZtq9qdbzN5uhC9auleuWL9ffeyj5M+kkrtEzlNBsqRhKxThrfgffu+Zu6srHCDw3l1m3Yx4\\u002f3bycL915DinfIumE00O\\u002fImYFbKmZ8C0STsDXLn+E96zcYdh0ES3ZtkJSgc0f\\u002fvIibtqxiKrDeHbpJKwwyNxrhWNXHdi4PoOxjTeNZ39zuag16yw2bAi\\u002f93DpNy0ncY32U+F0I9cMp2Oc0tLNf19zN3Xl4\\u002fi+g8gz8v98dCWfueUC\\u002fFASt4tGPpsRKEHcDvFDiz+++Xy+88hK7JiXI9UEoUXCDvj3q+\\u002flbcv2M5iKY8spzloIS\\u002fmp0LLjF4VWyX9i1GoEbyJH+OYx9LU3WGxcH7Sc\\u002f41PS8v9M+Wnw6m8dUtoRjMOxzf08V9r76a2fIzAsyeVS12ff37wVP7irrOI2QF2ZPxFzG4oLXIDI75895l864HVpraOaSkOQosSJ+A\\u002f3nUv5y9qZzBl9vIFEMJS\\u002fkRoWfEPtlzwtXVs2BCyZt00ubCjFW+OqzjKsDec\\u002f\\u002ffn2tK5W2gcCAu465bUjHs2i6qH+dHv3MHC2sEcZ10Dth3y9ftX842Np1AaqZoWaaxHF4QwCpmjnsvnz93EFy98gsC3EQK0EthOQN9YCe\\u002f\\u002fyeVs7qijLOZPbYbRIJQQFoSZ9xx88Eu\\u002feLM0wRz9Hn3dOsmGDWHzmn9ucYT1QylkDK3IN3IpNJnAoiqZ4TtX32uy6xnDdtNaYLsB37j\\u002fNL724KmUxjygyFU\\u002fGmG+M0F5zOPrG0\\u002fla\\u002fedbuSpEAipCQKbmrIx\\u002fvPd97CwapiJvGgughHnE9rSlvMfTef\\u002f4zI2bAhz\\u002fexHMY72q1nAOrF8LfZoX+JOYSfO10G6oNVURHJOWgv++5q7uWTFbvxUfDK7HvP4t42nsO6+Myh1vZzCcxFHL7IaP2Oey19f+ASfOe9pgkg3IFs2fWpfMx\\u002f46dsY92wca8oWTWsl7JhUgfdMRiXX9G7snYD1cBQn547ulWrtDRLWq5G+xDrplJyvg+n7cjSkA5u\\u002fv\\u002fTRyMhjyGytNebxX4+dzN\\u002fcfzqljln5i0Z+9MN8h4Iy1+Nv7z\\u002fdJOjiGUJl9PO9dIzTFrbzrSs25qbiFEAIqYNMaDmJlTE5dj2sV0d7cu7oNfR16yQbrg2b1vz9RUj785PyT5OwpEm+fer0rXxw9XP46ZhhtSmBk8zwyy3L+Mu7zyBmBzkZqCLeHDB6z4Kk47Pu3jPYsHkFTtIYuy0VXirOlSe+xBfOfZoxz7DqCiCEVEE6lJb7iabzv3YtGzaErF171NrLUbpCrZNwnW5cc321benHhLSW6NAvCNktqRhJx7hw0UF++N47kFIjosEDTszj8T2tfPCGy0j5Nk4xu\\u002f6mhRSaQEkcS\\u002fGD99zJ2YsP5Ml\\u002fgbAUf\\u002fTLi9jw\\u002fDIqIq+fByWEJdC6U4T+WQc2fmn\\u002f0SpHdXSuUGtXCBDakuE\\u002fSDu2RId+QcguhSbl2yyoGuEfr3oI1wlBSbQWOE7Anq4aPnnTBYxmnKKRv8mRLb2lfItP3XQ+u7pqcBw\\u002fmlBrJLm\\u002fetkjHF\\u002ffx7hnYxUm56RWgRK20xRK+S+sXWuZa+\\u002fow9Fn6FHjQcuar79TWs6HTche2KiitMCxFNdfsZHm6kECzwY00lKMp1w+fcv5HBgqJ+kERSN\\u002fC0BpQcIJaB8u5ZM3XcjwRAJphWg0oW9RXTbBP1650XQkRvPwchDCUn46lHb8qpa+VR9iw7VHZRb+6Drhdesky7frxWf\\u002fc62wxDcnxwBOwpBiXP5o9VbWLNuHn3bNEEIEUir+8u6zePxgI+XxTJG7\\u002fhZCqCTlcY+n2+v58p1nR9eEaY7xMw4rF7TzhTWbcmO1CiCE0DrQQsi\\u002fW3TJP7Ry3XX6aDP2o+pk2bFCsH69yjjpv5R2fHE0RWVyXy7MYIVzF7TzmXOfIfScaFqKobZ+74kT+MGzy6O92NH11ov47REoSUU8w0+3LuP\\u002fPXoSdsxHaWFkqTIuHz\\u002f9Od62dD\\u002fDUXNTHiRhoKQVb0wHwdePxoaXo+dqj7LsrRd8\\u002fRyE\\u002fKQK0pq8jjQBeEpSlUjz1UsfJel66EhH3XY9ntnfzFceWE3CDopkmLcwNIKk6\\u002fN3D57G47tbDS9eC4hGV\\u002f\\u002ftZY8yt2KUTGAX2rMQlgrTyhLOe5su+OZVrF+vWLv2qKHIHiWGbixz8WX\\u002fHAPxt9JyLbQuXHKlScD9ydnPsqK1C99zcoMXRiYSfPHOsxj3bGxLFWvlb2FoDXbElPziXWczOFqCjLx34NksqO\\u002fnc2s24YXW9JKU1hopsVB\\u002fU3\\u002fxN0tYvtwM7ToKcHQY+toNkvXrlZdJXyssd81UzTdLaMYyDmfN6+B3T91GmDH7cgVIJ+D6jafwdHsDJW4w8xifIt5SCLWgxA14rrOGv7t\\u002fNdIO0RhnEaRd3nvyi1y2dD8jkQBlDkJYOvBCacdPcgP1CdavV1x7dNTWj4KT1IIN23XL6ddXKcR1aAVCF1BczRfn81cXPkksq+0dMd\\u002fue2Eh3336+Eg77LU18vz54Fb0Ox8yuq+4tMw+hEpQHvf4wTPHctu2xdgxD6VMCC9lyJfOe4qaZMrM1CswdqRSgUaKLzSv+VoLG25QR0NibtafIOuuE7BekQw+ZTnxhTr0w6kNK2MZlw+vfIHTFrYReA4IjbBDRscS\\u002fO39qwlC+bqQW0MtSAc2457DcDpGyrdzRq21GUKQ8m0CLYoGPwthFmr4yv2r6R8uRdohoPE9hxWtXfz+ac8z4ZuRznmPEqgwlFaiXkjxWRCaHTtm\\u002fVc7yw19nWT9ej1vzTcahOaTSnkFY4wFkAksFlQN88kzt6B9J2pVFFh2wL88tpKtXTWURNnV1xIaSDgBC+eM8LZl+\\u002fnGFQ\\u002fxnhN3kgostIYSN+CKY\\u002faztGaIEsdn3HMIlCga+yyC0oKkHfBS3xyuf3gV0laRR9doz+Hjq59nRV0\\u002fE749NdFuqSCthRAfX3LhtxayYYMyjLnZC\\u002fvXH3IEsXaFYANKC\\u002f5Y2Ik6HaQK9uZSatKexR+dvpW6OcMEqZjR93Z9ntnfwnefOs6MSHoNQ\\u002fZsN1zcDvnaZY9w1fI9uHYI8Qzfvu+0HN0y6fr8y9sfoMTx2N5Tzab2ev7pkZX0TSRwLFXk1c8SBFpQ5vr83zPLeduy\\u002fZy9+ABBxiUQgoqycT5z5hb+4OYLCgY9AgKtQuEkSlN+6vPAH7B2h2TDkXoXvx6zeBVaJ9mwVs0955sLtOR3UYFCFIbs4xmHU1u6+Z2TX0R5ThSLGUWRf3h4FaMZF1vq1zxo11ow4dksqBrGjXukPAeVccmEdoHHTvk2ltSc0NLNx07dRn3ZBP7rtI0o4tXDkpp0YPH1jaeQ8VyENNusMONy9Qm7OG9h+3QijRCC0FNC2L\\u002fTev7XVsz2vfqsPTEDoXH070k7UaeVr5lyvhr45BlbKEmmcwQYO+Zxx\\u002fZF3LtrLmWx1z4Bp7VJ5Fy45CBNZWMo38ISajLxFunaZBN1AIHnMJ5xi+1xsxShMl79sYNN\\u002fPy5ZVgxHzALumX7\\u002fPEZW2ZyGFLrUEnbrdBCfBKENi3rsxOz1dAFrFdL1\\u002fxDjdb6d3WYKdibW1Ix5rmcMa+DS5btR3k2ElMzHxtL8s+PngyvA3lJA1LA19\\u002f2MP\\u002f3O7+ioWwClMwla0It8EOJH8oCQUkhNDE7xHodoosiXhtowJEh\\u002f\\u002fb4SfQPlSItU1tXvsOZi9q5aPFBxqYz5iwVphGaD84\\u002f\\u002f2\\u002fnRV1tszINMzsNfe0NEmBCqo8IO1anlVLZTLsAlJJYQvHxU7YRj3uEoTRURtfnJ1uO4dmOWkrc17ZhJTtjLW77nNbcDWj8KTTahB1SnUxTlUhTkfByHl1HrCtLFnXoZiuUFiSdgBd65vA\\u002fm45D2oGJ3rTAtgN+77TniTshYUFCVQiUUtJJlAa4vwfkrt3Zhll4UmZvvuztXy9D64+YeHfSDwqhmQhsVrd2cfmx+1AZByHAtgOGhkv5n80rcO0Q9Tq4TgGEWjLqObl\\u002fQzQEMLC59oSXuOtjv+TWD9\\u002fM\\u002f669i8p4JrfYCKmxIiHKoqnPToSRsf\\u002fg2WPoHKjAtkMkZq9+7qI2zl\\u002fYxoTnTqO6axWA5gPHXPiv1bO1u23WnVC213xiQl5uOfEVOvBUfqZdCFBK8NFV23HcybKZcAJ+9vwyXuyZQ8IOXzfPqbXRD5xqrVpDdUmaJXX9LK4dYEH1EHb+BSHDqb3ORcwyaC2IWSEHh8r5383LEU6AIhKKs0J+95RtM8lESx36oeUm5k2QeTfAbKyrzz5D37BWAWilfldrI8Of\\u002fVM2035CQy8XLjmIDiyzb7ZC+obL+L9njsV9HbnsJnznsFNUQyUIApsgsAmjc4MoB2fpYuh+FEABcSfgp88t41DvHCw7AA3Kszlj\\u002fiFWz+1izHNzba4ACIFWodYq\\u002fF0AU1efXZhlhr5OgtDzz7\\u002f+RKHF2egARKFlhFrwruP2UF4+ThDYhuDghNzxwkJ2dFeTeI335oUwPQzT5ndFEOTRXmfw3q4VFktrsxxaCxJ2wP6BCjY8vwRpKUOzVhbxRIZrj99pvsOCr1FLrQKQ1kmtF\\u002f3D2ZhJL7Oqs212GXok0xNItVY6iaRWYZifhAtCSVP5GNcevxMdaXLblsJLufxoyzJcS70ue\\u002fMszBcuyASWGfDwmzw4e\\u002fD0qL+IWYZQSRKOz8+eW8boWAmWZcqn2nN4+\\u002fK9LK4eMt1tuS9SCNChtGOuCsPfAWD58lm1os8mQxdsuDZcdubnyoRS71HKpyBsl4px3+HyZfuprxxFhRZKg3B87ts9l62dtcRfx15zwaRwwaLqYQitKRzol3msALTgnSv24Eg1Xa6oiFkFDcTskF39ldy0fREiygWFSlJeOs47lu82yrFiSqktyCAE72668F+rzejl2bNPmz2Gvm6dAEQmWX+msNzFKD9XOzclNUHSDbhi2T6QIaE2wn5haHHDc8vwAqtw3\\u002fQaQ0TsqT9Y\\u002fTwL6vsIAusVh+FSGAWTa1fu4HPnbmI0UiEtYvYiuzj\\u002fYtti0hNm4Ed2EsxlSw9SW5LCC2X+gi3QSknLbbDU+IVA1JA1OzB7DH3HCgHoMFDXCiE1enIqhhSaCd\\u002fh+PpeVs\\u002frQEUlDsv12dVdzcP7myiJBa8ppz0fltCMew6nNHfz0VO3oTxnxj24xtRjVTYznwchNKHn8OfnPc3vnbpt5kF\\u002fRcwahEpQ6no81d7IlkN1SCeA6Ds8rrmbU5q7SQVTRjpprYWQGiHfA8yq7PssMXQt2HBt2HL69VVa6PO0VgUDErNi\\u002fG9btp94wiPMhr5C86uX5tM\\u002fkcAWr1+2PcRIBn9xzSaSiTSqcCXPwZIK2\\u002fGxnQDLCWZQKBEoJfmbyx7hHcv3MpSKYxeNffZCQNqX3Lh9sWl9JlKosUPesWIPYlpMJ4QOQ6HRZ7RccH2zGc44O2rqs+IkWHOdBSASwdnScuebYQyT56a0oMTxuGzZfoiMzBKadCrGzTsW4Vrh6zYUyxKasbTDu1bs5oJl+wgzzsxbBKEZnIizt7eKfX2VtPVXEMzg1ZWSxKyQf33n\\u002fZy3oJ2hdLzo2Wcpsnv1e3fPpXeobPJ7CiXnLWinvnSCQOUt+gKplR9aVrwRoc8DYM3ssLFZcRJsNHaq4GIhbYmYtFtLmrD91NZu5s8ZRkd0V+F6PLq\\u002fhd39lcReJ4KMALzQoqF8nD87d3MuspgKpQXSDvmfTSs46V8+wOnffi9XfP+dDKXMCKj8XhYpNGFoUR5P8521d3PugnZG0rEimWYWQmtBzA45OFTGfbvnImKe2ZqFFg0Vo5w975DpaptOokEQXgbAxvWzYuTybDB0AevVqlXfcSRcopUPBeelCULBeQsO4SYz+KGFjIikG\\u002fc1M5JxX7fwV0rNhG\\u002fxydOfY2FdP8FMmt\\u002f5b0Ro7EhWakpGtgCWVPi+TV3pBP997V2cPb\\u002fjdX0fRbx6CAG+kmzc14KKMu2BkkjX55wF7di5JF32AUgd+mglLmhc9Z0kzA7W85E3dJNtp6Ni6HhgiVYhROclhPGodaUpzl3QDoHR77Jtxehoko17m6NpK6\\u002f925BCM+Y5nD63i4+dug3l2782q29LTdwJiNsBMTuc9u1m\\u002f50JbGypCX2bqkSa711zF2fN62QoHSsa+yyDUoJS1+fhfc30jJRi2aamju+wZuEhGsrGo5p6jightA4RgiZZMbQayF3jRxJH3tAfNOdgC3mpsGMCdF6oo\\u002fFDybzKEY5r7EVlNdmskOe7a3ixt4r469TAoiLe81+e\\u002fxSJRJqMb1h42V7zfJimFosPrnyBx\\u002f\\u002fwpzz4iQ384gO3UZnIoJTIpRW90EJaiuFUjB88eywIjR9a1JRN8L1r78wZe3HPPnugAVsquseSPHqgER19N2Fo0Vo1zDG1g4X7dPOgUNgxBFwC5K7xI4kjfQIi2p8LlDormpOoJ\\u002f9oWEpnzOtE2iEqm+W0FPfsnkuoJbwOuXZLKkYzLh9c+QJnRdJC27pr8KL8QKaAFWWgtaAynmFe9TBzq0ZorhzNhfmmj12zs6+SsVSM+tpBHtrXzJfvPBsnliHjOdSWpPj+tXdyzrxOs2cvGvusQbZF+Z5d8xDSyICZNgzNeQvbI9WgfJhoXWhOX7Nmnc3G68IjTZ45woa+TsB6NW\\u002fNN+oRHKdCH9AFnWoawdkLDuUop1IYlc5N7fWvi2CLmcTqsKRmkD896xmwFY8daGR3fyWJsnF6xhJs665GzMDCC5TE9y3zE+RRnbUAK6R7LMnz3TVghVy8+CDffuJEvnX\\u002famLxDBnfprp0gv9+z52sWXCIoVR8+szuIo4INGbx39FTzfBImRkCEhn6aS2dxO2gsOojkDr0AFa8SLzFqKAcWfLMkTX07Ahax5ovhD0XHegct11ovMCE7cfUDObGHlt2wN6eKvYNVBCPhPdfaygt+NJ5T1M3Z4QwFeOnzy2jtWIUpGZLRy29Y0mQelpJz7ZCnJif+xF5Hh1phj9uPlQHwOq5nTSVj\\u002fF396\\u002fmPx5aRSyRIZNxqU5O8L\\u002fv+RXXHLfbkGqKMtFHHFoL4nbIvsFynu+uQri+qb4EFouqhzm2dpC0n0+eMZLQwo7XxmxrMcCRHrd8ZA19+XYNECpvlbAcUciGg5TvsLRmkKaKUVTWQ9qK5zpraB8pxX2Ny2qW1IxkXK48Zi\\u002fvPG43CM1N2xfzYk8Vp87thMDioX0t5Jlv7pYQmn39Fdz34gIeeGkej+xuJeXnM+g0jqXY3F6PTsWZWznKirp+bKn4m\\u002ftP538eO5FYyQQZz6E05vGvV9\\u002fL756yjaF0DBFp0RVxZJDdpw+lYjx7qC7K1Wj80KaqYowlNQOkA2umKaxorU8Dctf6kcKRNfRITE9oebYZpZZ\\u002fNWuUFiytGcROpAmUNLXmwOLZzrrX3MtlNeIby8b5qwueBBmSmkjwrUdWcmJjL7FkionxBFs6a6fVvLUWCDvk5h2LWPvjK\\u002fjADZfzBzddSM9YApGrowsqExmebq+nf6QEmchw1vwO0oFN3An48t1n8f3HTiKWTBMENjGpuf6qjYYb77lozStuoinitYeKvPrT7fVo38YS0fcqFSsaBnAsPaU9Wgi0Ai3OBjjSwpFHeI8eiekJTkJrcyuCUpKk63NiYx+EpoFESkXo22zpqMG1wtd0jy6FxgslX1yziQV1AwgBP3zmWJ49VMfly\\u002fajpWZ7dzX7BspJOL5Z1Wd4HpH3UwBtuNOHRkrZ1l2FloqTm7spcT20Bkcqvvirc\\u002fjOw6twEmk8JfBDiy9f8hhfveRRvNAiUKLYDHOEoLXAsRTPd9UwFs32E0JDaHFSYy8Je4oOggAzPozlZjjokRWOPIKGbj6Vxou+1oqmDq3Iz0wqIG4HnNjUawxdmPC4dzzBnoFKbKleM4EJS2qG0y5vW7aP967cgVKStv5K\\u002funRk5lXOcIJ9X0IDc911tIznsS1Z+5AFGJSeGKaQWqIWwGhho37mxGh5Pi6ARbOGcnpv7t2yF\\u002fdcyb\\u002fvvEUYjEPocFPx\\u002fj9czbzz1c9iBVNAS1m5N94ZBNyA6kEO3vngFTGakOLFfV9lMcyU4QjtTBRqqrKZFJmn34E5b6PnKGv3WDq54plCFGeH7obgQdJbUmKlopRUJNltee7ahj3nNcsIy0EeIGksXycv77wSSypkcD1D61iZ98czlrQQU3ZODod47EDTbhWrsg3DUEoSPl27mfqUdkF4pn2eoJ0jNo5IxxTN0CgpAlohCZhB1x33xn80\\u002f2rsV0PIRVeKs57TtnG9669i7qSVDSYomjsbzRMRcZiS2ctRBGl1mZLtrB62NTTJxNyxqNjlSlYBsC1G46YvR2xF161996oaC6XSjtuYyhxkZqMIcosrh4iZoWTbZ9WyIu9c0hPbQ\\u002f8LSAxfeafO3cTi+v7EEJxz0vz2bBtCaWuz8lNPdjJDANjSZ5qqzeZ\\u002fqnNKgBa0Fg+wWmtnZzS0s3JTT3ErDCPAGk64JKuz+6BSl7qqQIn4JwFhwpkoQGSjs\\u002ffPnga37jvDGxLYUXGftGyfWz4wG2c3NTLYFR+K27b3ziYiMrmpd45II2smFJGyntJzVA0eTV3uNAQSCeBJawlMHnNHwkcsdlrmxdepNj8nwj0UoSFFigBpost4hcvqRlC2gGB7+Qet2egEj+USDE1+fGbIz9kf\\u002f\\u002fKHahoMurXHjyVTGBRW5JiVXMPGtjcUUf\\u002fRIKkG0zLgAuhUYHFe07Yydrjd0Z3mgtDKZlbTYWAUtenfbiU57prWLHwEKtbuyhxJtVsTXlWUOZ6fPWBU6lMpPnEmVvQnoOfjrG0vo+fvf82Pnvredz0wkLKY36ufbKI1xcaY9Rtw2WEaRNVBUpgOQFLqofww6wYSRSZZh+nwqUAm69sDNl8ZM79SK0wgg3XGqqr1nPRAULnT0k1BrKkehBs49EdqfBTcdqHS6c3EryaE4hC9obSCdZd9AS21Egn5D+eOJEtnbW4lqK+bJwTG3sRWvDYgUbGfQdLqsNGE0bDLvqZurXQxvDdSGzwyYONkHaZWznCCY39pH2rgEkHEHdCfrp1GX7GwZaRZ\\u002fdcqhJp\\u002fnPtXXzmzC2kPJtQiWL32xsArcGxFB0jJQyMJ5CWykl\\u002fL5gzRMyakpDTWmgVoIVoZe0NlpGXOjJB2BEydHNRtpx+fQJEk1aKfBHIUAtKXI\\u002fG8nHQwuxfrZD+8QSdIyUm4\\u002f5bnoFA44UWf3nBkyyp70MI2NZWx3eePIFS18cLLU5r6SIRT5MaS7K1sy6acT6zwisUjmTyQzlVlAApNZaliVkhjx9sZHQiTrJ0glNauqZtR5QWOJYhaezsM8kfrcF1AvzAxtaC6y57hOuvfChq5bWLSbrXGQqj5Ns+UkrfeALy+tPryyaoKklH+\\u002fToAUIIzJChpqrRzhJz55FZkI9oeS2w06VAsylD6Fy8EypJRdyjKpkGJSMdZc1QyqVnLGkG3v0WHt2SmqFUjPecsJP3rdxB4Dn4oWT9facznHZxLEWoBOcuOARuwN6BCrZ3V0edctN1RbKwnQC3JIWbTOEm09O8rETjCDODrXOkhK1dtWhLsaqpJxoIWciZtoRh092\\u002fpxXcAF9ZtA2U48Q8AiXwPYcPrt7K96+9k3mVIxFHvrhvf92gBbbUDEwk6J+Im8y7AJSgOpmmIhrqmXd9CMMBU3NLx0cjQz8yVNgjZOjmzbrCLUXIBq3DSeor2qhtxjLUJFOQvfilYjgTM7TQ32JIg8mc2iyv72fdRY+jlMSO+fzXkydw7+65lMc8UoFFc\\u002fkYK+r7QQu2dtbSO57Air5YS+qC8prWAmEpHt3bwt\\u002f96my+cfeZ\\u002fOsDpzGYiiOystDalGecSDp4wnN4bH8jQsMpLd3UlRqxwfzhkFKYz+LJ9gaCjIvt+PzHkyfwyy3LcJJpALxUnPOX7ufGD9\\u002fMZUv3M5SK5XoCingdEEm6d46URlwKjVYWNclUVGIrMCmBDrWUTpm2k1UArDsSJ32kDD16s8L1G4S0rKnhTKAE5QmPmmQanRV81ILu0RICPbNe2yuF0mY\\u002f+3eXPEZtxShSKrYdqudbj6ykxA0AQ709rr6PuVXD4Nts3NtiGhkwwcXU\\u002fbcGhFQ8ur+Jv7nvdL764Gn84yMnM5iKIWS+4YJjm9SEArZ01BGkEjRUjrK8vn9au2OoBUnXZ2tHLQf7KrETGVY29\\u002fCRDZfyvUdPxnF9HCvES8VorhjnB++5ky+e9zShksV6++sIKTRtWUMXRkgymcxQma9nWACBlkHrETjVHI5o6K6UVWtuTbqf7B69zPWIJ8wKKYXxoO0jpdHtV\\u002fd6tlSMei6fPnML5x+zD99z8UOL9fecweBEHMdSudB8ZXMPbiLN4GiSLZ21RnxSG2ba4dRjYnZARcyjIuZRFvOmeVVLaFxptgUljs\\u002fz3dUc6K8A1zftjlMMXWuBaynah8vY2lWN1oJTm3uYN2eEP79jDdfdebbZNzoBnmcKKF+4+HH+85p7qC+bYDRTbIp5rWGiJTg0Upq7DrNU2NqS1AyXptCmnY2aN\\u002fREp+DIGHokg6vR1YdLQpbHfMi2A0boH4+bUtKreElTSouxZn47f3zOZvyMixPP8N0nTuC+Pa2Uxc3+SkVGeMb8TrTUPNtRR9docnKmmzAJtZlOIpdNFEwrwYFZJFxLEUYG3DZcxvaeKhCaVc3dlMX8aSVDHWXrH9g7F+HZNM0Z5uSmXoSGf3v8RD56w2X0TsRx455pk027XHHcLn75oVs4d0E7g+liKP\\u002faQ9M\\u002fniTH2Y6+sjmJ9PTr03Q8Rdc6R0wC+shy3ZWsnvrJZMPjOYl04SemYTgTe1XeSQBeVBf\\u002f2uWPkHQCHCfg2QPNfOuRlSbJFtEXAy1pKJswtFcl2HyonsFUPOpBNtK02fGJU88l5dsMTpg8wlAqNqXUYqbNOJbhBWmMAT+yrwV8m0VVw6yo62diSvY92zn1VFsDwxNJnLjHqS1dWFJREc9w2wsLee8Pr2JHRy1uIo3QAj8VY2H1ED993+386dnPECiLdFDMyr9WEMBQyiWXfAGIGHKHq8goMIbO2jfiFKfhCBl69GalqpnJowsBlYm0SXiJSfrBUCpWkKx6JRAQtRQK\\u002fvaSxzimqZcwtBhNx\\u002fjir85mONJp0xgxyHRgc\\u002fq8TiqSKTLjSTa110cz3cxZSKEjg8mjQAkNSrJ6bhefO3czf3rWM\\u002fzh6ueoiGcKml+yHj0bpdhS8WRbPelUnIqKUY5v6DVqJQXxuymzdY6UsKmtDi005yw4RInr4wU2lYkMW7tqWPujK7ll6zHY8Qy2FeL7Nq5UrLvsUf537a+YXznCUCp+2AGQRbxyCKEZTMVAy7zrc9KjT0G2W+stGLpHEFAW3ZzGLqmMe1PvMr3Zv+FrSKEZSsf4+GnbWLtyB17axXJ8vv7AaTzV1jAlXNYoBWfM7YB4ho6RUjYfqiPhBDnjFILCuedEUkOh5LxFbXz1io2sv+wRvnDhk1Ql02Z6TJR5twQ5DoDGdEMdGinluc4atKU4fW4nCSco0MDTGJLGYCrGU+2NCCU4tnbQMLGUmexa6voMpuJ84hcX8dV7ziAdmkRcoCRBxuHi5Xu56cM3854TXmLMc0zLb1G95lUhG3GmA9uQnJi8eCvimcPqBmgtyt+YM5wZR7hNVcRm9OiYzrXs7exHmcqKQ75CmDq0w3kL2\\u002fmri54gyDi4sQy3Pr+E\\u002f3p6BRXxDIHKNtJovNCmuWKM4+v7QUs2tdcxnI5jRVNgso0nlqUKw7YIYSgJfCf6sQtr\\u002fVrkQnetBWhwrJC+iQSbDtUjgNWt3VRGe+3896m0IOaEPHGwkYnREmLxNOcuaCcVqZqYPX9Iwgn4yn2n8+3HTkJG2X0hNF46RkP5OP\\u002fvmnv4l7c\\u002fQEXMYzTjYBcFLV4VhDAJ43QQCYtoIOpXh6lTdnUUVeIeiXPN4sgautCHffO2NXU\\u002faaZZvlJLt4QmFdg0V4zzrSs2End8hNR0DFbwN\\u002fedztQnEhjhiYVVwyytH4BQsnFfK1M5i1JweNlnYXbf2Z98aMze3p3CARDA5kN1hBNxmsrHOKGhDy+0CrYoKprZvaWzlv1DZeAGrJ7bVaCAq7R5xfK4x+0vLmRswuQVpDBbBN+3CAOL9526jQ0fvIU1Cw4xmI4V6bOvAiISRfFDUXBxmM7GGR8AitgbdHoz4ogautYyMvQpobAw4erkHeaXr17Z6QpMLd6RIf905YMsbOgj47lYMY+Ne1vZ2TeHpDM9w42GVc09uPE0QyOlbO+uRk5ZoQU6MgwxbdGxIm+f\\u002fckxIbPvUGb36OaxSkuSTsCm9np6cqoz7WR8azqrTphBj48eaIZQcmJjHwurhwu0ylQ0WeTF3jmmZ9oKGc84CMBxApSS+Kk4Kxr7+Mn7buevL3yCmB0wGrX9FvfurxxKCwJVqEJsEq0zQSCyTq1n+1sv6y5QscOFjq6c\\u002fqH54SuTdxZCkwoc1l34pKmXp2LmS\\u002fAdHt3fdBjRCsNFP3dhO9gqUpOpiPbn2Q2E0QqzpSo4DR2NZLpx+2LW\\u002fvAqPvDTt\\u002fEHv7yI7vEkUkZddlqANLpx2f2+jsL3ztEStkXqsCc39URbisKknACUhof2NkNgU185wnERyabwXRhxirt3zQM7JKMkX3ngNPb2zcFJpkBo\\u002fIyDIxV\\u002fesGT\\u002fOIDt3HO\\u002fA6G0zGCUBa9+6+FIcmoSAFoqkc\\u002ffMQp3roePZelmgF6xhVgsgXwcMjy2D+6ahsfP2MLfiT7YwnN0HicRw80mVlt+VlzwA8FLRWjrKgbgFCwpaOOgYnJjHwWUjBdMy56K7v6KrlpxyJufWEhd+2ax4Rn50Lw7P8dK\\u002fvak88RasGDe1sgtDi+vt946sAuCP81JpG3o6eKA30VaDvk\\u002fIVt07xwdkl69EAT3kSM6soROkdKuPL77+Se7YtxYh6OpQhCiZ+OcVJrFz9\\u002f\\u002f2185eJHKYv5jGRcQ7IpGvzLwtAlCj8jBYf3Q4drkHiDcKQHOGRmevdamxbSqXCsl\\u002f+sbKkYTse46ph9fOWyRwmCrIifADvg6fZ6esYTUZvr5ONkdpBjcxe1ZWOodJxH9psFYbrn19OMP4u4HTAnkaEykaEiPp0ZZ0L3cNpyJYBnO2pJj8eprBhjRV0\\u002f4ZRZ70oL4k7IgaEKtnTWIaRidWsXlYlMwbEKQcIJeamvih1dNSA11xy\\u002fk87REj58w2V89e4z8ZXEifmgwc84CKn5ozWbuOlDt3DR4jaGM5F3L2bmZ4ARhZRRdJZ\\u002fIQQzXLN5D8u8\\u002fud2eBzZ0F0T1dCme2lf5Q9AML+m9XjnIct8W93ayb9cfR+upbAwe3WlBFiKh\\u002fa1MOE5MxBHzPOuau5BJjJ0jpSYnvQ8Q89Sc+dVjpKI+aipY3gwxhiqyZ+CV9CY0F0WCmZoTLZ270AlL\\u002fVUo62QcxYcmpHJJjC86scONkHGobVylFOae0j5k9Ja2Z7prtEkmw41gIbj6wdYWjMIwPUPr+LaH1\\u002fB9o5anETGbC2UwE\\u002fHOKahj5+893a+cfnDVMQ9htMuYib9u7c4NMJ0IlqFqdpMaB32EQptrvW6FUfkwzyyyTghvMP9LQinnpomYfszKqlYUjOWcVhSPcR\\u002fvOte5iQyKKBvIs7tLy7EdkLGRkvYfKgOa4pohQnbDWvulNZu0MKw0FKFo4wFRhPunPmHTG\\u002f4b\\u002fA+TaBu\\u002fj+3ciTy6lGQrU1I3jlSwnOdtQgBp7V2UR4zDRL5UBoSTsDDe5sYm0jglk6wem7nDBx5iFkh9+9uRaXi1FSMcea8DiY8m6pkmof3tfCu\\u002f3s733vsJISlsO3AvD\\u002ffbDU+fuaz3PGxG3n\\u002fSS+SCeyo170YzudDyum5mkDJadEaYCgzQrx1PbpCZ2ba1GhMzTx7O5vhLo1NXxcsqZnwTP37e9fczfzqIfzASPr88S0XmNnlJSl29c1hW3cNJU6hCohhzUlaKkY5rr4flOCJtkYm\\u002fELPb4grmlNbul8utXBYyEgaeFVzNzXJdAEDTmmBbSmeaDOqMy3lY5zU1Dtl+odJ+mWljJ7rqkFrOK2li6pkGi\\u002fP2JUWuHbI5kN1tA2VIVyfM+Z2ErNDvFBS5nqM+Q5fuOMcPvbTy9g\\u002fWIHtGGNHG+8+v3qIf736Pn5w7Z2c0NjHUCpWJNpEMP0Hinh2LJcAovbn6Wae25y\\u002fdQ1doIdzN6f8ZSjtTru31A0KDMwSxshrkin++5q7WdHSjZdxcWI+X7x9DVs6azhrXgcEFk8cbGQk484YhgZacvrcLtxEhpGIqWZbk3PxhDACkourh1hYPQzThuq9gvcqNMq3WN7QT0PZeEEFQQMxO+SJgw0MjSeJlU5wSnM3mRmmf9hCM+47PLi3BYHg5KZeWivG8IPCXnYnYgQ+tL8ZNJw5r9OM+A0sFEaosjTmc\\u002fMLC3n3\\u002f72dre11yIiVJ6Ui8G0C3+LiFbu5+YO38NcXPkF5zITzM8pZv0WQTaMm3JCYGxTwLAbT8cNq9wnN8Mx\\u002feWNwhAx9AwAC0TejR9cwmIqT7fLPZrWrk6lc2G1JxbhvU1OS4j+vuYeV8zpIp+K4iQzffngl\\u002f\\u002fToyaxZ0Eb9nBHIONy\\u002fpxVnhpBbCNAKE5I7AXv7K9neXU2JE+RC5+zgxeV1\\u002fdRVjhAeRoVWCJPdz\\u002f4U\\u002fA1TN3cdn1XN3QVqMlqLaDRvgi2dNWhputkqEpnpI3nN58bmQ3WkxxMkE2nOmNsx7TghTZntkf3NaN+hZc4IJzb2RceZBKXSgupkhpf65vDjLcdEgyNNic2SKufdS1yfP73gSW750M28Y\\u002fkeJjwnp0X\\u002fVmTWaS1M0xXaSJ1F92dFP6ZAgEYL+t7Ic5yKI5t1l6J\\u002f6qbGGIRgKBWf5tFron5fRyrGMi4tFWP88D13ctaiNtKpGPFkmv974gT+9r7VVCbSrJ7bjXAC9g9U8GLvHFPDnlJWywSSuXNGWV7XD6ExoNGoJJdFlpd+clMvwlbT9s5ZZAKboXSM4XSMkYw7veUUQGrOnt9BkDc3HczCNeG5PHagCaEFq1p6qC+ZwJsyotmIUXg811XLvv5K08u+qC3bDZmD0oKEG\\u002fDMoToODZSD63HJkgNTJYkJorbcJ9sbGRwqx3F9BlMxMoGNHfdAG2kvPxVjSX0\\u002f\\u002f3PtXXzvmntYVjvAcCpi1r3FwnkNzImnp5RONENpd7rEmYgeEap+c8eGN+Ykp+DIGPry5eaaV3pGjy4ijjpB3kUuNDWRDttgOsay2kF+9N47OHleB5mJOPFEhp8+vYIv\\u002fOpspDRNMWfN6wCheeJgI91jJdPGOElpPPXxDX20zBkB3+HBfS3Tym9GKMLjjHkd4M8wTA9AC5bUDPLOFbu56ti9XLr0gFGsyTs0uwdeUd9PbWnKGHv+X4Xm2c46vPEE1eVjnNDYF2Xvp4Tv0kys2XSoDpTguLoBFswZJhNYeRrxELdD9gxUmP280JzS3E196QR+OPm6SgsSTsCOrmq2dNRCzOPQcBmfvOkCth+qjzLzJlcR+A5hILnqxBe5\\u002fSM386Xzn6LE9U1XIdP5BW9aaMGcZIYcrz1yVgMTicMm45DCGHp07b\\u002fROKIePZSy19yaXAY1xruNei7jqRhWHoutKpliMBXnosUHueH9t3FsQx+pVIxYSYqbti7js7efmxN2PLaun0VVw+A5PNXWMOO0y2w9dGVTD1YiQ\\u002fdQKdu7qk1mPtscKzSBMpNcjq01HPipzyMjXferT9jFDR+9iR988Bb+49o7qS8dN2W46HghNDqwmTdnhGNrB0j5ziR9VQmSTsD2rmr2D1SAE3BuVnVmKlNXm6jm\\u002fj2t4Ds0VQ1xUlOfyY4XJO\\u002fMa963ex7Cd1hUO8jKph7GPacgYsmWDu\\u002fcNQ88h2Ma+uhPxbnou9fw7xtPwQ8tnLif67rzUzHK4h6fu\\u002fAJbvrQzXxw5QtoTY5s82bevxvaOjSXj+csWgggkPSOJ2bI3ZgOJqlE7xt5nlNxZAx9vfllK3qUCgKmXMq2gOGUS99EYlJzTUBNMsWnz9zCj977K5oqRvEyLolkml9uOZZP33wBQphS1bjncP7CNqxEmoGRUh5va6TE9WcoVwlKXJ+z5hvPv6mjnu7xJLE8IoQJ7y1Wt3aRcP1p9fF8BL6NPxHDT5mfqaG7KeVJEqUTrMjSV\\u002fOYc46lDB22qxotNCubeqcRYrLH2lKxtbOW7uEyLNfn9NYO3BmovbbUPHawkdHxBE4iw+lzO7GmBAka00T00N4WRsaS2DGPK4\\u002fZixdK\\u002fvqeM7n6B1fx5N4WnLhnkpTCdOr5aZdjG\\u002fr5l6vv5cfvu4OLlxxk3HOYiBawN6XBC3PdzK0cNtUXHTmmiQTDabPQTXvXWhFI3QYcsamqR0oFVgN40h9D0yGERUQpITsNYyQToz\\u002fSzhZCozyHk5p6+ccrHzR8bt\\u002fBjWf4ydPH8embzs8ZihdazElkOKW1G20rtnVXsbe\\u002fIgrbp5TVlKS1PEt7lTzTXs9I2o08uoFRYhWc1tIFTsDLKbBl55hnf2aCKbMZkYqk4xeohpqLRvPQvhaEb7Owaojj6mby1EaKqmukhCfb6kHA2Qs6KItaXPOPi1khh4ZLebKtAS005y1spyw283FtQ2U8erARLTTnL2qnuiRFaczjqbYGrv3RFfzFbWsYGE\\u002fixDwQGim1yc57DucsauPH772d711zDyc19jCSdiNVmzeXwWe\\u002fo6byccAwEYVU9E8kGMnECq4d0BphCa3CgZiIDZn7rnvrhe4dTskYQrcjLNCTrs1QWV0GJuLRMDsBGlw7NBeoFsTiGf7fIyv5k1vXGDGIaF+d8m0WVQ9xQkM\\u002fIrB4cG\\u002frNL10MJz1tG9x5rwOShIpJsaSPNVeTyKfDSfACy0ayiY4rqEflGTCczgcLKmwXR\\u002fb8U1degZjz47aPa2li1LXm8KSA1sonj5Uz8R4gtLycU6IMuVTlXUsqRjzHJ5qb4DAYnHVMMfUDhTU57PboKFUjMcONiJCybG1AyyrHTR197zjbKkY8Rwe2tuMCCzmzxnmlOYeJjyHspiHAr79+Alc8f13ctOWZVhWiBTkmHOB54AWXHXii9z84Vu4\\u002fsqNLK4eZDjlRoq0R79IpYh6\\u002f6sSKeZE6kFEjMf+ibjx6DJ\\u002fly60EBYI0eamMxNH8NSPlKFHH8Sdn8kILTqElEx6dOP1JnyH9pHS\\u002fKONBrsVoqTmb+86i7++50xitiroRlPa1JbLy8bxJmI81dZwmHMwX8jq1m6IexwcKuO5zhrieYSabCfYvMoRltQOQih5rqtmynjcqHvNCrl753w+fePF\\u002fNktF\\u002fBXd55N30QcKae2uRo1moaycZbXD+Dl7\\u002fkj4oyh4NagpeKMuZ2Rpl3hV6W02dM\\u002fvr+JkdESnESa8xZmxShUwbklnJBH9zUxNprETaa5cPFB0l5hidAo1QQ8uLeV\\u002fpEyrESai5ccwIsmzkigMuGxb7Cc3\\u002fvlxfzRLy\\u002fCD+Skbn10Tn46RsIO+OgZW7n9IzfxlUsfpbVyjKFUDD\\u002fqfT9aPXyWRdlUNk51NHMAgKgDcWAibkq42bentUZIELrjpccmxief5Y3HkfLoeu3aGwwxWIj92SGLuT9GdeVd\\u002fZUQXbhaY0KkVJxP\\u002ffJC\\u002fvHhlSQcP1eOy0IKzQUL29B2wI7uanb2VRLPazXNHpMJLFojnTatZI4NN\\u002fUiVFGWPFk6Qf94gp19lUiRnz6cLJtt7ajhu08ex\\u002f9sWsGPtyxjLO0aT6zNNFgpjXTUmOciY4atlj+KyWw\\u002fQgYmEmw+VI\\u002fQgtNau6lKpA+rOvNibxU7+yvBDjilpctIY01hycUdn23dNWa0kx1yemsX5fFonnfWq0cqNXsGKtl8qA4NnDG3i5aKsVw2P1SCuB2QdH1+vOUYHjvYhLRDswC7PrZUiLxyXEXc44\\u002fO3cwtH7mJdRc+QV1JiqF0bNLDH2UGL4TJ1zRXjlFdNkEYSpPU1IJ9g+VmyGL+exJCC2mhlTgA6xXr1r2yPuvXAUcsdN8QNeArrXahfIQWuY6AbK18V18lKrQj6R6JjHn86Jnl\\u002fHDLMVQmMgVkBYHhGjeUjXNycw9CC57pqKNrbPqstmyCbVH1MItqBxGBxSP7mmeczmpJbcp0VsgLPVV0jZZgOcGMX5drK8oiTfdS1y\\u002f40jVAtK\\u002fe1VcBVsBJTb2RSkxBQRYpFZva6wkm4tSWjnNSUy+ZqRcRUcQRWjwUtbie2NjHouohUoFdcKx5vzYP7G01ohVNPSytHYqkuaYsbEpwx4sLEKHFMfV9nNDQRyaYHLqrIiVcx1LcvGORmT8mNQ\\u002fsnM9gKoadSOdeO4wUaRtKx\\u002fmTC57kjo\\u002fexOfP3URj2ThDKaOpfzQZvFGWgfmVI8hohJYE8G1291dOywOhtUBrhFa7AFbd1nS4rpfXHUduj163w3y7Uu0Mg4yPELnVTkch7J7+SlJR3Vpg9raLqoaYEw12yL88pDQKLKe3dtJYPoZOxdi4rwXXmt5qmiWXnNbahR336B0s44XeqmldbSac9Ti5qQeEZntPjakZz\\u002fCc5ryNIWR\\u002fZoJRfm2E0GJ57QBzK0fI5Hn1bJlt06F6ukeN6szZ8w\\u002fhBdPLeiJ6zUf3N6IyLlXlY5yYq71POTfg4f3NhOkY5aXjnNLcNfPCZimeam+gZ6gMHJ9LlhycXt6LPu8nDjbSPVCJk0jz2IEmrvj+O7n1uWWEApy4Z0ZVCQhCCz8do6lilC9d+ii3fvRmPrdmM7UlKYZSkYc\\u002fCkL6MGoVXlozGI0K00ipCEPJrt7Kqe3LGiEsFaSVsMROgM0L5xwxve0jZ+gbNmiAjB2+hGA4z84Bk0Tqn4izf7AcssodSnJiYy9xK5yRnWaMtxuZSNM1Usqm9voZe8o1htxxzvx2sEKe76lh30A5CSckKwBlCU3atzmhoc\\u002fUTNNmv590A17NPitLkLKk4tmOWkLfobV6iEVVw3h53PlsYqx3PMnWzloQmpMae6kuSRsprYItg2lxfalvDjt7q9BWyPmL2mYwGEOKebGnih3d1WhbccmSA9MYbVltut39lTzd1gBSsWZhG3PiKUItC45L2gG7+yt4\\u002fKA5bu3xO9k3UMnHf34p7\\u002fvR29i4ax62E2A7fm6PH4ZGyqq5YpQvX\\u002fIov\\u002frojay76HEWzhlhOBNjImrima0GryIByBX1\\u002fRBGUs8CBlJx9g1WYBe0IGuEsEDr0VDwEgA3rH0LGrrhHYi+u\\u002f6yU2i6EJJsatkk5CAdWDzbUWvCQw0oQX1pipbK0UhqKSKiAF4oqS2Z4PS5nYDg8bYGBibi0znnwiRU5s8Z4ZjaQQgsnjlUx7jnmlFL2fp51MhycnMP8dIJUqk4T7XVR1rtr\\u002fIda0FpzOfAYDn7+yrB9Tm1tbsgoZVFqAQb97ZAKDm2vp+Fc4zqTH4cozS4dkD7cBnPdtQipOaUpm5qSlIF5TOlo1bY0ZKc4uwJDf3MnzMyjWJrPh\\u002fJ\\u002fXtb0Z5L65xhzprfwVjGmfZZhlpwz655kHaZXzXMhYsPEGrYuK+F9\\u002f\\u002f4bXzyFxfzYmctTjyDZQeoaFsSBhZBKkZT5Sh\\u002fcsFT3P7Rm\\u002fjG2x7i+IY+xjyXcc+oq86mTL3A5B5qkimOrRuEbO+5FfJ8Vw2jnjslIjS1ViHoP+RP7DN3HbkV7Mhy3detixyd3ISQOUYhmDbAlG\\u002fzXGdt1P9tVGAdJ2BVcw9eYCFzzCSNH1osnDPM8mi1fWx\\u002fcyTIULiISqGY8GxOa+2iqmycIBXnkf3NxOz8bLvJCZTFfE5s7AVLsaNnDoeGSyl1\\u002fVf5Zk3Spizu0T5cxo6eKpAhZ87twJphDLQQmi2dtUyMJ6koG+O4hj4joDHtWY3W3SP7myFtjOfUli4mPLvAY5t564oH9rQSTsSprhjl7PntjHuFWXqlBAnH54E9c+kfKcFJZjg3EsLIP8Uwos5u3NdCx1A5bkmK8xa2o7SgPOYhpebHW5fyjh+8nb++fQ1tgxU48UxuGyalJgws\\u002fIkYc5JpPn7ms9z64Zv5f1ffy5nzOskENsNpNxd9HWmDl1E780lNPZREZVGjXBSypbOW1JQqhtkfSrQWW9m4PoB1R9TWjqyhZ+dQSfXw1NBdY2ZR7x6oxJtI4MiomcQJOLWlK5I5nvTofig5d+EhrLjHwFA5z3bU4trBNAMyhBwzRFHGPdqGytjeXV0wjQVhpKxqSlKsbOoFLXgyysonnVdp6ALQgrhlesKf7aiD0GZJzRBzK0bx80p2GiNLtXegghejUPvcBYdmlJnWUTj52IEmBsYS2MkUq+d2oaZ8tea4gKfbG+gcKUW6AWfM7YySgXnkGcCRms7RJI8daAItWLOgncaoxTX\\u002f07SlpmcsyX175gKaCxa101Q2zoRvPHJlwmPcc\\u002fjXx07iyv95J\\u002f\\u002f0wGrGAxudKzlGBq9M0i7pBFyzcge\\u002f\\u002fMAt\\u002fM\\u002fau7jiGOMIhzMxgqh55kiF9SbCs1nV3IOIWJZSaAgsdvRUTw4DzUFrc03zMHDExiVncaQ14wAIldqqgrTKT8hlmy1e6p1jxBOigQ4EkhX1\\u002fTSVj+OFJlGnMaHp2fMPoe2AnX1z2N5TberPBWw48ANJbUnKCEggeOxgA6OZwrBLYPjti6qGmDtnGJ1x2NJRi68kMfdwkr7Zx07+zATbUpS4AU8cbESlYlSXjrMykoPKGnKW+dY9lmRrVw0CI3M1J1sSy3s+HRGMesYTPH2oHo1gdWsXNSUThjyTPQ6THxhMxXg46lE\\u002fY24XjWXjuXp4FlKaaOq+PXMhkCyqGeKExuy4qLzjIi933+4WVDrGwpoBVjV353IOprNNUZnIMJCK88Vfnc0vnluKFZU7LdssR0qbqCSbpRcCLj9uNz\\u002f4nV9x4wdv5SOrtlOR8BhKxXLlSPkGevnse6mIZziuoS\\u002f63AW2HdI3VMZLPXMK+BfRo4RWIQi1CYAdK45oUHJkDf2GGxSAkHo\\u002fWu0W0hFkxTS1KbEdGimNwlxThlGBzZK6AebOGTHCDNIoexxbN8CxtYMI3+aRA42m9jvtBQ3tdV7lCMfU9UMgeaqtkVTeNgAmv9gz5nWC69M1ZELtuB0Qm0GGOgulBV4ozc+UqoDJkAscqYjZATt6qjk0UopMZDipsTdPgiJ7pubYxw40olMxmspHWdnUXbAgZGFaXB0e3teMUJITGvqYXzlqxC0KDNOwAR\\u002febySjW+aMcGJT74zjmuOREEbHQCXEfK44Zv+045QyvQJPtjWyp7cKYh5XLd9LqAt77UNlqigViQw\\u002ff34JoW8GPu7rqzBClVFIr\\u002fJaXv20SxhKVs3r4FvvuI\\u002fbP3ITf3nBkyyqHmLMcxnzorD+DWiRzcqHL6wa5sSGPrTnmCqQFbJ7sIKdfXOI2\\u002fmGrjXSklp57Rp\\u002fLwAbth\\u002fRDOMRntQiNOvWyY77vtyP4Hkhbci72g0lVBspZC1yXVaxmMfq1q5ouqkhv5zU2EtN5TDKc3lw72FEJjC19jPnd2LHfPqHynm+q4bYlPHMAJY0I5JwAnYPVLC7v5KYHeJGIv0Fpb2oe+2jp2xny2d+yJOf\\u002fAl3f+yXNJePo\\u002fK8YDaj7lohI2mHTe31AJzY1Et1Mm0IF9FzKmWM7en2BgbGE7ilKU5p7YmGWBSebFZi6plDdYyOlOBGJbmZtOQSTsDmQ3V0DlSA63Nptkc977hsNLW7v5JnDtWihWZ1ayfN5WMF3XRZvkPXaEmkZCM4vbXLJA6n1P2VErhS8XxXDU8dbEQk0+zoqeGaH17J3dsXEyiJE83bC5XIhcGB5xB4LguqB\\u002fnshU9w+0du5N\\u002ffeR9rFrQD5KbWvp7luezCf2JjLxXlYwRZmrEWPHGgoUDGK\\u002fpglLQc0Gxvv\\u002f8vOgy9av1b2NABHozOIRSPaB1A3jllw82n2xvwoqyvYdlILlu6HycaJJhwAtOBZite6pnD7v6KaFDClARX9HPWvA5wfHb1V\\u002fBCT1XB1BYZZdsXVg2xuGoQfJun2xpzzSdxJ5zGOzcnK5iTTLOwdoD5NUPMrR4unDbDJIMubodM+DZPtzeAEpzY0Gv6xFXhomBJRd94gmc66tFCs6qpmzmHYcmVOAHPddWyq68SHJ9zFx6aFt5m2XS7+yp5rrsGpOKU5m4aprw2TLa43vHSAoTnsKBmkNNaukyLq5iipScVt72wAJ2O0VI9xFnzOyK9u8L37liGd\\u002f+rl+ZDYHHeonY6R0q49sdXcu2PruTm55aZSC6RwRKmVJXj0gc2fipGZSLDe1Zu5xcfvJWfvvcOPrJqOyWuz3DGjc7ttQ\\u002frTRVIc9Hig+hooTNZZMHGfS04U2jOCIHWCi3FoyA0a66zOEKMuCyOvKFvNKG61OouHfoBps4WwYwMbh8u45mOekR2qmkoWVE3wJLaISZ8mznJjBGFEJon2xrpHUtGgxLynilnwKb5g9DiqbbGaFDCJKQwM9uOrRugcc4o+A6PHWw0IWJUpjocgtDC81w8z8H3nOn6YdG\\u002fY3aIJWFHdxUTI6WUJNOc2Ng7LatuCUMCevxAI0ILVjb3UF82Hk0IKXxyKTRjnmPIOIHFsbUDLKkeirYlU7LBwAO7W8BzmF8zxMlNPUYMcwqTz7EUTxxspGe4FCvmsWbhockhkbnjBI4dsr27huc7a9BOwCVL9k8JZQ3CKKK4c+d8+gYrKCkd470nv4hE8fiBRj7xi4t41w\\u002ffzi+fPZa0b5uyXGTwMiq3hUoSZIyyzZmLD\\u002fKP77yfX330Jr645mlOauxl3HMY8xxC\\u002fdok77JRoMnrdCGiLZllB+zrncPOvipsGU61YkuHGY1WdwFwHkesfp7FkTd01iuAA\\u002fWbd2ottglpQd4+3bUMceahvc25MlsQWpSVjrNmQRtDqTintnTTFLHhnmxriEK\\u002fwlcxum82xzf00TRnGDIOD2XVZPKOU9EFcmJjHzLm0T5Yxu7+StOZZimcSEttJthWiBvzcGMejusdplXV6IEnHJ8XeqvYP1QOrs9Z8zpmFJmQQrOls4bUWJKK0glObuydokyTfVbjWR\\u002fY0wqeS8Oc4ZmVZDHbh0cONDM+YTT2zpjbiRSFvey5FtfRUh7a1wwCLlh0kKpkYUSRlavuGU9w395WhBacPa+TuZFgZf770drMhts3UMmD+1rAUly0qI2aZBrXDkm6Po8daOQTv7yIt\\u002f\\u002ff2\\u002fnRU8cz6rnY2UQsxvCyHtvPuISew8KaQT5\\u002fyePc+KFb+L9r7+SKZftIOgGDU5N3r8LopTQL6JqF7TRUjhEG0ix0bsBD+1roGk0Ss\\u002fOjR2347bA3fjCxFYD1RzZsh1lh6ABasmFDqHV4j5AOMLkCquiC27ivhdR4AieinwoBlyw5SMwOOXveIWQiQ89IKU8cbKQkNl0gQkd15FXN3ciYx4HBCnb2VmJP0ZELtdFQO62100g7ddTTO2bKe7bUueTPVEMTQtMxXMpT+5rZdKCJLe0NpP2pCUHzL9cKjRzUWJLt3VUAnNDYS2W8UGTC6MMFbOuq5UB\\u002fBdr1WbOwfdpcNog8a1Tv3zdQgXBM+cy1C1mEGiMF3TZUxtPtDVHveRulMwhzCKFJ+xYb97egPJeWylHOmNtpOuTyNfWiJOP9u+eRGk1SWT7GxUsPRE1C052Z0nDT9kXotMuKpl5OaelmPBozXeL6lLo+Wzpr+cyt53Hp997FI3tbTfNM5NmzFOPs6KgwsPAm4pTGfC4\\u002fbjf\\u002f+95fcdOHb+FL5z3NkupBxj2H0Yzh1ttS\\u002fUZeXmmjkX\\u002fh4oNIxyfUElsqwrTLxlx\\u002fREHsGArpgLbu2b37M1Ev65EN22G2GPqa6ySAlPY9WvkBkNvTZBNDWzpr2dlXibBCU1LzbVa3dnLm3A6W1\\u002fejI4LJoeHSGUcmhSqrJtMJAjPBdDxZoCOXZT\\u002fVlU5EGu+SrZ2G9SSFGac0k0dXWiDskF9uW8zVP3g77\\u002fnxFXz8FxfTM5ZETM0VCKPlli2LPXagGXyb+ZWjHFs3kJt5noWhwyZMmU3DCQ191Can6s3le9YSnjjYAEJz9vxDVMa9AnELomrGYCpmhCiVYFnNIMfWDZg6eX4CTUtKXZ+H9zbTNViGTGS4eMnBaRd3tmX2mY46tvdUo52ACxcdpMQ1uY+C8wQSdsDTbfVs76jDSqR5x4o9ZI\\u002fKGnHSCSiPeWzrqubrG0\\u002fJdYpN+LbplIuIS6ESIMwwhTCUBBmXwLdZ3tDLFy5+jFs\\u002fejPfv\\u002fZu3rF8D9WJFP0TCSZ8O5exfzmjF0LjBRatlaOcv6gNnYlyAFZI53AZjx5oMu+x8POVWiulCe4BiPbnRxyzw9A3rg8BESRHH1Whv1NIx2QzIoiId377i4sgypBna81\\u002fds5mjq0dQCjJA3tapl1YYEK9QMmI9joAgcXmQ3WGPTalLpwJLE5t7qYimSI9luSZjjrDrVeSmBW+zGhcQ9qZ8G1S0c\\u002fhLqFs26wllZFtTsUprzCG7oVTw12TlNu4rwV8h4XVw6xo6DfeckppKXv+T7c1QMZl3pwRjm\\u002foK+x5Z3KO26MHGpkYLc31qKeC6ZpzjqVoHynl8YMNaA2nt3Yxr3KkoL128juycp1vp7V2cWxdPxMRnXXyOQWuregaS3LP7rkQSs5f2Mb8OcMRHVfnzjFQkjnJNFs6anlifxMylqFnLMkXb1vDE\\u002fuakVLhRDPusiKa2TA98KPkXTzNFcft4r9\\u002f5w5u\\u002fNCtXH\\u002fFRk5r7UYgGErFjGz1YUJ7ielyPG9hO9XlY4TKMt+prbh3dyv9E4lCp6JRwnKkCjIHtVQbgVwO6khjdhg6aNbeIDtvWz+BlPdEvPeCAyypuHtXK2NjJViW+XAVJnyfk0yTGkuwqaN+RqZKNsF21vwO4ok0o6OlPNXWQOIwU1tOa+2EuBeNSTJiFIE2Ia8ZrDfzHl0IDqvrbt6kQSJq9MhqxO3orgZLcUpLd3ROhY+zpebZQ3WMjCdIlI5zYkM2cVd4YBiFvo8ebKR\\u002fpAQrkWHNwnbSvj3FUwviTsDWzhp2DZSDrTi9tYvKaFzztPPWgl+9tAAR2CysHeDExt5pLLns5\\u002fzQvhbGRksoKZtgzcJDM3bIZUdL3fLCQlJjJdTNGeHSpfujrPnU54Qx3+WG55eiQ8m8qmH2D5Rzxf9czQd\\u002fejl3bFtixCsTGSxb5SKCXPIulAQZB99zWVw3wMfPepabPnQLv\\u002fjgLXzyjK0sqRlixHMZ9dxcRJNtnc1+TtcctyvXEi2FxvdtbnlhETA1u6+1EFKDfLDjvi\\u002f3s\\u002fYGK5uDOtKYLYYOy7drQEhL3IAOQEzyMk0oF7Kjp5qH9zUj3SAnruAriXACtnXVsKe\\u002fwhjRDKG1JTSntRgCzN6Bcl7srSroBc\\u002fKRtWWTrCiwSjzPttZy3A6luOix3KGfvi3ofN+DndEMnpdJ0o0PtthutSMvJQ\\u002fbbiDY4V0jZawpaMOLTVnzu8g6RbqzeUfu3+ggm091WhpchLZtt6C6gKG0vngnlYIJCc09rK0ZnDa1iG7ID3bWUdbXyU4AZct2z+tEUdpQdL1eaGniqfa6tFWyNuW7SuYL59\\u002frGspXuqt4pH9TWjH57KlB3ILzdSSYNIJuGfXPPZ21yDiGX5v9fNYQnPXzvl8dMMlvP1\\u002f38F3Hz2ZzqGyXFivIsMUwhinleflLTSnzu3gK1c+yE0fuoUf\\u002f84dvPfEF2ksGyft2wxG8tXjvs2Z8zpZ1dqF8m3QAsv12dpWz7MdtdMcBQKptRJacAMgomt6VmD2GPr66zSgRWb0GaWCZ6V0p4XvgZLc+sICyOvNFgBC81RbI\\u002f0RJ76QzEJODur4eiMC+eiBRtJT9qNZ4s38OaMsrx0EJXl0f1M0ckfnBhc6snCC5m8MYTw60fMqJUzjTtpl\\u002fpwRltQMRYw2c3g2m96firG53ajOrGrqoSaZjuiweurTEyrJA3taEaHFCQ19LKoZmmbAWabeQ\\u002ftaCDyH8rJxTmnpRmmm7P1NjmTfQDmPtzWAUJwzr5O6KR1y5rM25cD79rQifJsVdf2sbO4x7afT2HymCnLLiwsRnsvpcztZ0dBPZspoqWzuoWOkhFteWAjKKPKubDZdfyWuz+aOOr74q3O4+HtX8+Xbz2XzwUZsJ5i2YGW9vMZo1PupGDUlE1y6fA\\u002f\\u002f9q57ufvjv+Tb77yf95ywkxInIBNYXL18N06U58heL3ftnM\\u002fA1GtNo5CO0MrbXZqe8wigZ0O2PYvZY+gIzdobrAMb16c18meYMlvug1LKkELu3T2XvX1VWJFXtKRCew6bD9XNKHcs0HihxeKaIRbUDqB9h0cPNBtRhClnEGrB8rp+SsvGmRhLsq27pkCSybVNiQ39W5k6ScfUXbPTVDZ31DE4VoIdz0TyUoW1b5PV1mw6VIc\\u002fHqemdIJTWrojiaeZX+OptgYyE3HKysZZ2dST83C5zxOTFHyht4qdkfe\\u002feMlB01M99cmi93vfrnnodIymOSOcs6CdsSkjqJWWJB2fe3bOY2ikhHjZBBcuOhgx7wqveaUh6QRs3NvMgd4qnJIUV6\\u002fYjR\\u002fKaRel1oao9MttixkZKaG0bJwrj9lHoGREFvIpi3kMpuP8xxMncs0PruIjP72c0Wjsc5Z8BCZ5pwtCe8sk8DyHmpIU7161g++8+x5+9bEb+c7V9\\u002fG2Y\\u002fZFSTiFZSmGRkq4eceiSD48vxlIaykdNGx46bGPj7Jmnc0syLZnMYsMnRwf2BLBhtBPjQhpWeSJRtoRU+wnW5YZ6WVtBCOFE7BmQXsuVMuHuU+zem4XwvVp7zfcZMdSBRe0wuyvz5jXibZDdvZUsX+w3GTIEbkyn5s3fPHVIuvR83Xa9gxUghNwclNPxOqbXExCLUg6PpsO1dE5UgaJDGfO68BTMw2lMBpxu\\u002for2d5VjbZDzl\\u002fYNs2jmqRYQMdwCZsO1SEEnNjQx\\u002fw5I9O0z8Jor\\u002frIgWY6hsuQiTRrFhyKhBDza+\\u002fg2Gba6yMHmtFCc+GithlHS2Xf+8Ghcu7f2wLAhQvbaC4fjxKSU3IKdshLfVXcvWs+SM07lu+hoWw8Z+xKC2yhjQ6+Fmx4fgk3bl+McM1Wrm88iRDa7OWtkFBFKkBiMoEXKoE\\u002fESMMJfOqhnjfqduYk8hEc+okwvW4cfti9g6WR8ShyXcjpWWpIJWybftnAGzcMWuMHGabobNegRYH7\\u002fvSXgSmpp63FVRAzFbc\\u002fMJCegYqsJ0QjZl+8o7jd7Oivj\\u002fqr56yx5TaDFG0FNu7qzkwWEbcDgoMVkd7zFVNPQgB23uq6Rotye3JNRCzgzxa66v8HoUmkac5JzBz15882ABKcmxtP60Vo2SCQvabJTUDEwme7ahFAyc29FI3pUMte1aupegeNRUDoQUrm3poLIs42vnHRuSgB\\u002fe0olIxaspHOXv+IeOppywgttD0jseN7pwSnLPgEI0VY1ECa\\u002fI4QyG2uXvnPBO+N\\u002fZxfGOfMfSpHP3oXG\\u002fctphgIs7C+n7OXdge1d+nfGyRIf5y22L8iTitNUO8bdn+gqhCE3XMRSH9T7Yew8REAjvmcesLC3n3D6\\u002fi5q3H0B8Ns7AdHymiuebRwpoVuwgDmyDjEkaRkGWFpMYTbNi21FCpCz5IoRE2Gv3o\\u002frs\\u002fu9V8rRtevs3xDcYsM3Rg7QZzTlJ\\u002fV+uwIEjO9lTv6qs0ZRzbaKeHoaSybJwPrXyhIOkkRRS2Vw+xtHrQ8NbbG8gERnBS5x2X9i2Oq++npWIU0i5PtdVHE0UnX9u1wsntwW\\u002fh1JNuNAhCZEUuhBnE4NssqB1iQaT8MvXLUVqwcV8zIohUZ6qGpwlBZo+L2SEP7WtBp2LUlY+xurWL8Skluez++8m2BrpGSiDqUU\\u002fYwTQ6rpTms3xwT4tRnqka5pSm7qihI9\\u002f7mvLhYwcbOdRfgYhluPKYvdNYctnXj1kBz3XVsKmtEe16XHnMPkOfnfL6oTLqPA\\u002fta2JLRz3a8XnH8j2Uud60RGMYJfCe7ag1yUYr5PKl+3mhp5oP33Apb\\u002f+\\u002fd7Du9jVsba8nUAI3mcKyJjP2QI5jL6LPUzoBD+9tZVNbfVQ7n7JkCoHQ8rsArL1h1tnVrDshNqw1srhjzkMqDJ6UdkygdW51VAhituL\\u002fnjmWsfHkZA93xuE9J7zEirr+XOIpmxw6tbWTyrIJ\\u002fFSchw80TcuWZstvK5t6KCmbYDwV46n2BmJZEUgRJYVsZXICv2VQFrcnxSuyybbd\\u002fXPoGizHivmsbO6ZltXOUj+f66xlfKyEktIUJzb2zRhXZA19U3s9HSOlWIkMq1u7ZtzWZLX5Hj1gus\\u002fOnN9JY9lYpDpb+Jwljs9TbQ05GawrjtlX0JIK0WJshewdqOTJ9kYQcM78DpoqxgqGS2Rf37Y0g6k4d740HxHYrJnfzpKaoWm1fzAJ05Tv8NOtSxGhzalzOzilpTunNSeizymbaVda8JOty9DpGA1Vw3x45XZsqTk4WMZ\\u002fPHECb\\u002f+\\u002fd\\u002fLBn13G9x8\\u002fme5RkyOxo5bZgtcVpj36e5tWTCt9onUobFeqIL0tmVG\\u002fAi2OdEvqTJh9ho7Q7Fgh2p\\u002f4bArEf2qUQExeHmZKaMBznbX88vmlSNeojQahRVnZOJ84bVuOM5694Fc19YDrsbOvkt19ldOnpWpBiRtEslGmV7xzpJBhl92jY5k9+6tx6NnnyibjzPsx+88DkRItVsiZ8zqwmFK+wpBc9g1UsL2nGmTImoXtSGaY9YXJNwykYjx+sBEQrJ7bRW3JRIEQZfa4tO\\u002fw0L5mdCBpqhjh5Kbe3Bz1\\u002fM\\u002fdjfbfT7Q3gIZTm3uYXzmSM8qskQmhsWXIbS8uAM9hQe1gjjrrSIUVUYmzzLSKWIZ797QyNFxKSfk4Vx27x5B35CSRJcsacO2Qe3fNZX93FbHSNFev2E2gpBGtUBJfSbxA5jT673ppPo9GvPp3Hbeb8niG0YyLFjCSdvnltiV8\\u002fOcXc+q\\u002fvY\\u002f3fP+d3LJlGalgMo8WRiW1+3fO46F9zSTdqeXbaACXFP\\u002fz0mNfGDUR6eyonedjFho6sOHaECAsGfuZCry9QlgC8nNnJtv+P5uWRwQaQ4tVnsO7TtjJqS3djHs2gZLUJSc4tTWrJtPImOdg56vJCKM3V1OS4uSmXsDsl8fzNNcE2kQSVphj5r1qCE0yb4+e9aqjGZfnOmsglCyvG6ChfKJAANMIcYT0TiTY2lELCE5q6KWuJB1NbKXAo1lSkQksHj\\u002fQGD2nCfVDJZER3zvruZKuz5aOWnqHysENuHjpQUJtpLxyBKDI6Fwr5K6X5oPn0FIzxKktZkuQ3YIESuCFFloLHtnbxO6eKmTM46LFbfhKMJR2GU67DKViDE7E6BtPMJJxefxAIze\\u002fYJiPlyw5SHnMY3DCMNfSgY0XSvzQwrVCDgyWc8eLC0AJLl16gBV1\\u002fThSUZ1M01Q+xqLqYY6r7+e01i5WtXTzUn8FBBZLawf483M2876TX+J3V23j02du4bqLHudrlz\\u002fCp898lpXN3XSOluT6zbU2C6Hv23z36ePwIh36gs2PlEIF6R5tWd+Prt1ZZ+QA9q8\\u002f5Ahh3TrZuX79RMsFX\\u002f+2sJx\\u002f0H6gsnFflln1XFcNv3h+CR8+Ywt+OoZQkmQizWfOepaP\\u002fvxi\\u002fFCyoHqEJTWDaM9hU3sDXmBR6k72nwsgUIL5lcMsrBlEZ1y2dNbihxZSTM5G09q0l2Y76F595WSSeCOzdSsBJW5ghCgyMWpKJ1jZ3M1tLy4k6QS5RhdLaBJ2wBMHG\\u002fi9tEt9xTgrW7q548UFlMW8KHEk0BpCJFLAEwcb6R2soLZqmHPmdxhlWShonpFCs\\u002flQPZsO1fG22gFOae6mIu7RNx7PkYWy1Qs\\u002fsLh\\u002fTysvdtdwzNxOLljUxs07FiOlJmn5OJbCsRQxOyQIJc911rC4qYcLFx80IhehRdwJsWVIzFI4Vohrh4ARptAZl+Pq+\\u002fm7Sx+lbzxBeSyDayvidkjcDkg4AY7U1JeNo1MxaktS3PGxG1ERRdlk0bMdbua2BlRESf6jM7dE7zr72WfTQNqoDSMg45j9OgLH9bj\\u002fhUU8uLfFfMaFvHYl7JiFCr\\u002fbfvdnB4wA5Ozz5jCbDX39dRquE8nw+v9Nkfq0sJy5OgwUYjIKcSzFd546nsuP3UNNSQoVWgSeyyXH7OXyZfv50ZZjOXdBOyLm0d03h+3d1ZEuOzlvZglzIZ8xrxPh+HT3V\\u002fJS3xxKXG+yJVJobBlly18GxpvqSWGCmaBNBjvUglHPRSljRL6SPLC3hbahMlobezmuvp\\u002fvbzqOIJT4oUQjsKLRVPfvbaVjuJSm+n5Obe7mpu2LTenIAilCExYLRVUyw1A6zoHBMmprB7hw8UFufWEhcxJpHCskZitiVpDTO9Nagmc48tdd9DgdwyVUJjLE7JC4E5CIjC3pBubzTrtcdexeltf3Y0WNJZY0v23L6MGVuj4q41KTTPGD99yFiNp0pVTGsKzot9AQ2KiIG\\u002f\\u002fB1c+DyKMbT\\u002f2tBCqSXK6IprsWVFGy34gml2Mx2fSIjKSn1gCiQm5EY84SbDIZl39+5KRp7D40SkhbqjDVbeN917z4dS97fRxJzF5Djwg0Ozf8eV\\u002frBV\\u002f7J4T9j+DnsvDZYQM7eqr4\\u002ftPH8fmLn0AF5ou3LM3nz93E3TvnGxFIJ2R7TxXbumtIOj7jnpPzfCJK2J3Wao57vqeGTe31lLgB6WgUkRVNgckP+WdCoEQ0dYXccMJ8SAAlKI1lOHteB64dErdCI1EVGdGEb0NgccmSA3zp\\u002fCeJ2WFUv1e4kZRVzArNxeg5XHP8LhZVDxG3zfOY5wqIR17VloqqZBo9nmB1ayePf+pHkB+RTGY\\u002fQElUYOFKxYdP3TZZ3pvK2xcafBsVSkpcnxNauiafSEdPmktCyFyGOhb1lRsdOYkOLbQ3yRgXeT0Cfsqddp4FO+PoeDBbhnwjn7bI5p1+LtsjZlChyU8+KoETz\\u002fCTp07gsbYmyqZMvjVhuyPDIPivtgf+6gBrl1lsWD+rSmr5mMWGjsnAo4UM\\u002f+n7IalPSctZqFWgyNqMFpS6Pt\\u002fbfBzXHL+bBTUDhIGN8i2Obejj+rdtZG7FSE6St7FsjOpoNphlaRxpQsbqZIrltf3g24xlHC5ftp\\u002fakpQxKjskYQcIoblocRvMMIgxK\\u002fu79oRdnL2gg6QTUOL6tEzRjMuKWy6oGuGn77s9t\\u002fe1hEZEM8wIJSrtcnxjH8e3dhmjktp4t5wBReGl79BUMUpTzaC50Gfyftr8zpWOgvyuyUIPmD\\u002fsMfRnvjTyS5JmJp5Ae+5hv0KRZ1BKFVqrzA+bp8DkR17Z9ui3qHTOCFMNUAyMlPGvj52EK8Mp7StaY9kyDFNdroj9KzArM+35eK0\\u002fo9cea2+w2HBt2HrRN\\u002f5Qiti3VZAJo\\u002fBdgLkghtMu7z3xJf79XfcQRJriAqK5WBZSKrpHS8gEVrQ\\u002fDnEskxl2LRNmag1aSaQdgFNIpsl5lsDKhYszQWZD0cgYdWjNmLjL90bZ\\u002fa8G0KJAM05FhjqTApolVcRXJ1cCnHpUznlN9chFvCyUFtgxj6\\u002fcdRbfemQlFXGvUMhE61A6CUsFqb9ou\\u002f8LX2XdOsn62bk3z2L2Gzomxl58+b+46UzqMWnHV+rACxFY5o8GmdDif9fexaUrdhOkXTOXXE+GatJSGKuJsl8R2y2XaIqex9Adp52BeQ5e3miyz5fFy4kaqCmvO\\u002fXlDnMKLwM98wNf+RMcFRfD6w2lBbbrs+VgI1f\\u002f8EqCSPCiUCrKEToMdknlnHZg49AIXKen729mF2Z36G6guXaDtfvOz2RaLvzGX6DDO\\u002fLL2NmQUwN\\u002fe\\u002f9qTp3bSWUig86b\\u002fQ0QBtYUw8pt9wv3fkJjvcorPt9T\\u002fzrYThDNlJvCIJnxWV\\u002fu73nHvdzffw0\\u002fP7tIHe6oVxRI\\u002f9aX+uu71BQQkGbao0f3B4HNVx5YzWjGpWyqxJYWCiEsjV53YOOfDpmIcwa9rFmGo2QRF7D2GosNN6jWC77xc2HH36X9dGjGVRpYQjOUjvGnZz3DX7\\u002ftEYKUO+MIo9mCF3qqGErFsC0NWhOzQ6QoXCgE5JJGrq1yiar84ZIIENrUty1LT+aushdy9A27lsKOhk9ka+1AbmuRzZTnW0Peq5jP8tckI38jzPTVvCFXY7TAK0EYFopnhEriJFL81yOr+MKdZ1MW9wqprlqH0o5bKkzd11adehvsCNlwg5rt3hyODo8OaNiwXIPQPt\\u002f8KyfIXIaQicmCiEkKlcU8vvv08Zy\\u002fqJ1zlu7HT7tvyCSPV4rcyQq49cWFPHuojrgT4ofZWr3INVhoRNSZZS5AK5pRprSZfKKYPDabDQ61acHU2lQAlDaMMVPCEwihCJWMfibDGVNvNnPQcvv66IxzWx9hBl\\u002fC5CKRvyhZwujVZ58v9xzZ55cQt4Jpi1Ter1zSswB5zxe3wxwTMI8rmTswW2WYcUskiCoWipRvURbz+bNzNlORyKCiz9FxPV48VM\\u002f1j6wkbgfoqUMthZAqzIRKOn\\u002fJhi96rFsnjwYjh6PGo0dYu9Ziw4aw9fyvfUk4ia9qP5Pbq4MJ4Sd8h2U1A9z44ZupSqZR4fRWztkA6QTmGlECtERHxucrU44yxmoZtllUqsv+zY9aM70wmn2hJIGS+NFCoLXAD2VOdy1U2UXBPDaM\\u002fi6i5\\u002fQj1pm5bRGqiOWWu0\\u002fmfmttlHgCLcn45qP3o9f3Qssw4wIrt0CZv1kRF8CIgATKMuXHvDwJTOYtsv\\u002fOLnj5x+X\\u002fRpObZ5+9bzKBOflYpj5Ww7+9437+8KxnTfI28vIB8P4fX8EDe1son64kHEg7bms\\u002f9a2DD3zhs6zTkvWzP2TP4ugydNZJ1l1H423Xxe3ykgeF7ZyqA7+ARGNJzVAqxkdXbedb77yfwJteDoNJtdEcbWKm\\u002fXruhp72t98WU7XqRPb58\\u002feO+aWnfA+WVwuehJ5y8vmPyy8kTzk2W64r+J3929Ry3eGOnZ7cpMBIp98XajOjTilBJqpOZAIbhVlIVESlzS5+YSgIdLQQaUEmiB4TWiidfY7J+73ofi+wcgub0pJxz2Z+1Qh\\u002ffNYzOfXWUAmcRIbr7z2drzxwmlHOLcydKGE5UqvgJW3LM9vPGBkCmO2Z9nwcZYYOWZph04XfOMPS4mHMVZazEzCGk\\u002fIc\\u002fv2d97N21XajEzZVMdX1wQohS2mcWnvOPm3eRT2T0OFU5LzRK3gnetqNl8Fv+k1Ne87Dn1fBX2ZY8Kb9+zALn5h242VGIx1uEZv2xPrl\\u002fz3jQvZrnlsJwnTM3IxKaY\\u002fsmsf7fnp57pApn1MohG2Bf9XB+75wW7bke7i3NhtxFBo6uRC+5YKv\\u002f71lJ76o\\u002fFRBYk4ITRBKSmM+v3j\\u002fbRzX0k2QcZHR\\u002fk0KzT275nFwqIyqZBpbqhyzLG4HxCwz8XSSbRYQs0PTjPIykEKbOjoA2hBdopuTFjSDqWXvOxzhJd975sLawjA26zkLnnbyxXN3zJhpzt2aalSvHL\\u002fuYS+7luVHBr\\u002fu2Jmeb4YHvNz0NYHhISgtsO2AzqEy3vmDq9g\\u002fWDFd8DGqmYf+xH+2P\\u002fDF3z8ajRyOVkMHwbp1giernFYv\\u002fYCw4mfoYHoWftRzOKmxl59\\u002f8DYq4ukc2UXaAY\\u002fsbeHDP7uM4UwsMmAd8bQ1UipsoXO87VAJFlUP89P33k4smnyS\\u002f8Fla68P7ZrHvz52IjUlKVxLUR7zKHF9kxGXhuMds7J018kmjSx11RYa21ImA57341hmSowtTbLJkZPHkc2GZ8k6cPgQ+5WG4lMiF513ny64zzxu+n0zLTqvNGLQhz3mtYTZw5uuxA\\u002f\\u002f9HLu3jWPiphHUGjkSliu1Mp\\u002fQSTCsw7e\\u002fsUhuE7M1saVl8NRknWfBs36HRI2ZNT51\\u002f+hVMGDQlrlWqscPTabhd98qJ4v33k2\\u002f371vTnPGQY25yzbz\\u002feuvYeP3nAJgZLY2QF+CsDKeUiBETuoL5swxAkOU2sWms7RJLe+sIiymIdtKd574ku80FvFw\\u002fubGUm7BMpww+3Im+R7Y0uarLATqdgY9p4yHPfc7ejv0f1OtvsrOt6N+O1To5HJaCWMmlgmF5pYHkc+bgfEI7msbKlPonN01\\u002fzecNP1FRll9vbU+9FTopMZIpbc38jdzo9WVPQ0hZ\\u002f1jDdnxEz5mWzSzokF\\u002fO1dZ3HnznlUJjyCKaoxCKm1Vp7W4R+03f6lQdalZz0D7nA4Wg0d2BCy9gbr0IZrt7ae\\u002f7UvCzvx7cir544IlaQinuFnW5eycM4wf37Bk7nknJ+Kc\\u002f6yvVx\\u002fxUP88a3nR9M388QOJYBGCoUfjWmyhX7ZXnRbakpdj9KYh2NpPnbKNo6b28n+rhru3T2Xh\\u002fc383RbA91jSZJ2gGPnXTPaNNxrLfCUzCWosskrNS1Un0x0qbzjcgbJpGHmG2323wV\\u002fY\\u002fIYITS20GaBcBRxK8htXXJbG1tFvwPiudv5W5\\u002fQtKJGyqluFJXEnQBHTi5g2ZZWN7rPtsxzZf8mrQDLCme25pnyJflbpOxdgTVdV14JnGSGHz95PP\\u002f62EkzZdhBo6QTt0J\\u002ffH37A196iLU3WKw\\u002f+kL2LI5iQycSqFhrtT3wxf9oOe\\u002frp1tu4kNT9+s6anz5xkOn0Fw+xntPex4\\u002fFceSCj8V490rd5Dybf78jnMRVmgknPI8jMZ0WpXHPYTU02urech6ClPrNgomhBbz54zw8bOf4eOnPc\\u002fOvioe29\\u002fIj7cew\\u002faumhzPPotcVjGvqeM3TXrpvCx4\\u002frlNbc1UWqDM0Opp4bcmNmN5K\\u002fv8hyt55T8GiLYcZpvh2sb4bSt7ny7YolhS56IXK\\u002fsYy\\u002fTgx50gLxoxUUruthMQt6L7opbauBMgMbPqSmOTnWeGFJPm\\u002fh2L+NKdZ+PawfTsm9ahsONW6E\\u002fc2l6z8KuwTh6N+\\u002fJ8HN2GDrBuuYZ10trifkaPplcIO7ZKB5mcsWuMl4tZIV+482waysY5f\\u002flevFQMW2r8VIwPrH4OT0m+8KtzSNgBUpDjuxulEUFFLGNEJ8LpYoyHQzZs9EMLJhJIoVha18\\u002fSuR1UJjL84Y0XTgtLCzPxvyY5NSWJ9ZtC5P6XV97Luy8\\u002fo\\u002f3rF5v83fqUU8yrcQda4vui4P6CBSUXrufX1PW0RGIB8YYsgUZHiTbNwESM3z1lGyde1Z2TJgqj1tPnDzbyqVvOx4vEKqYk35SwXEuFmb2WEp9gw7WhaVp5mQ\\u002fyKMDRb+jr1ytYJw\\u002fwp0Pzzv3aB5X2HxbSrtYqzNXXs4MKvdDij26+kO\\u002fHfFYvbI\\u002fKbgo\\u002fHeNjp29Fa8Ff3HUWTtTvnb0AlIbKeAYiTv1valZZRVENeJ6DLTSuDHP3zRZMO5ffaLGZPPZwmClaeblHTb3\\u002flXxWUsBgyuXTZ27h6297BBmxAZWSOK7H3t4qPvHLi+gfj5N0gykhu9ZC2mgdpJTgA+0bP9\\u002fF2rUW62dvn\\u002fkrxezUjPuNsV6x9gbrwENffEEL9XEgREhNXlCcFXccTMX4xC8u5vm2epxoHrklNEHG5XfPfJa\\u002fv+xh\\u002fNAwvaxIjijUgoqEZzz6b2GZ2X2zxEhHzWYu\\u002fuuBrHlnPXf2Rx3mJ5zyc7jjcvkLBIPpGJ85awtfv+IhwExi0VrguD5tQ+X83oZL2NVfWSDRlTs9LRRCSh3y6Y77Pv+4KaXNLn32V4s3iaFj9utrb7Da7\\u002f\\u002fCTTr0Py8s20IXUhRDbVRpOkeT\\u002fO6GS9nVVRPN1TJ94H46xkfP2Mq\\u002fv+MBbKlIB0YMUGVDd6Fftj77iqHNOCLJK\\u002fNSRbw8pNAoJZnwbP7i\\u002fCe57tJHQAm0MtsA2wnoHy3hExsu4dnOWpN8m5rM0yjhxC2lvK+1P\\u002fi57x2t9fLD4c1j6GAUONfeYLU9+MVvKT\\u002f9j8KJWRgKcw7Z0cL7Bsv5yA2X8mJXLU7cQ0UePEibBN33rrmbutIUoxmXpBNQFvNek1MU0f8Trh8NiDhaqQyzA7bUkQa95vorN\\u002fLn5z9JENhRtCBxHJ+e0RI+suESnmxriCa2TvvMA+HELRVM\\u002fKD9vs9\\u002f2RCyZqea66vFm8vQQbPhWsW6dbL9wS98Fj\\u002fzM2knbNCFxq4kpa7Pzv45fPAnl\\u002fNcewNONLJXRp79wmP3csP7b2NFfR\\u002fpwDKGrqdPL311Z2nGQMtXuecvwsCWipGMw5xEhu9dczcfOv05fM9FMkltbR8q5yM\\u002fu4xHDzRRkfBmmv8eSDthqyB1txWmPoEQmNbTN1ew9WYzdABtMqQCocY\\u002fEgbp26SdtPOnvYDx7KWux4Ghcj70s8vYdKAJN5k2LaGRsS9r6OUn772Dq1fswc7up39bqxSmLlXietPmixXxymB0682El5Obernh\\u002fbdx8fK9+BNxLGGIT07cY1dPNe\\u002f\\u002fyRU5Tz69Vq5DacVtFaYfY8J+74GN69OwTszMUz668WY0dGC9QmsObFyfnnDH3q\\u002f81IPSSUwP45WkxPHpGi3hwz+7jAd2LMRJpAm1GasbeC51ZeN89133cFxDH\\u002fownXC\\u002fOcxssNdivNNbDWY\\u002fLoxO4EkvcsMHbuW4ph78lOllCLTASaR55mAjH\\u002fjJ5WzvrqIiPoMn1yoSkcg8m9Heu9qf+OyA6S8\\u002fOplvvw5vUkMnKrSukwN3rh\\u002fRjvXuMEw\\u002fZsL46Xv2hB0wkIrzkQ2X8uOnj8OJeblSUBjYuJaiMp55Waml3wh6UqjhNUnuvUVgScVEND31by5+jG9ffR9z4hnDdpSGbuvGM9y5fQnv\\u002f8kV7B8spyzmz7An14GwE5YKMy8KEVzTc\\u002f9fdB8NAo+\\u002fDd68hg7AesU6Ldvv\\u002fuyAK8XVWnmPSDs+o7FniRN\\u002feut5XH\\u002f\\u002faqQdYllmRpqKjnktkH0WKTVJx480copu\\u002feWQlYUeTsU4sbGXn73vdj517ibCwCKMGpWE0Fiuz\\u002fcfP5GP\\u002f\\u002fxihtPuTCW0KFyP2UoFO3RoXXXwvi\\u002ftNfTWN6+Rw5ve0MGogKyTe+\\u002f5XI\\u002fvj1wdBun7I2P38w9TWiClaQr56gOn8ckbL6I\\u002fHcd2fTPb7DU9KbM1SMb81y5KeBMiy3JL+Q5+IPmD05\\u002fj5x+6xZCd0jGISE22E+AryV\\u002f96hxDZRaGSjvD4hxIO2GFYWaL9CaubN\\u002f42d1Rhv1NU0Y7HI5+ZtwrgvHsnetFX+OV37lKpkZ\\u002fKp3EVcqbmMaLFwLKYh4\\u002ffvYYdvXO4VtXPshxrd2EaTfXy344ZJtCfh2yw\\u002fvKXT8nhVREISyhCZRkJOVyYmMvXzr\\u002fKS49dg86sI2cd9ST4CQyHOydw5\\u002feeh4PRPPRYEaRECMFFfiPeMSu6Xn4C92gJRvEm97I4a3g0bNYLxTr1snO235\\u002fIhWMvk\\u002f5qZ8IJ2GhUfkMumynWGUizbMdtaz94ZX84pljsFwf2woLVUGnwAssglD+WkFKjRn2UBbzpmvIv8WRnfI6mnGxpeKz52zmxg\\u002f\\u002f\\u002f\\u002fbOPcauq7rD39rnnPuYh2c8nvHYHjt+5OFkktgJDqR1II6TWoBECi0dVEIrFCpQC01BQgkprZi4D2gSQAIq0UaKWkCtkF1FFCg1j9gdWpIQ0oQ02HHi2MnYYyexPTP2vO69556zV\\u002f\\u002fY596545mYJNgmtvcnjeb6ynPuPY+199prrf1b3+LtvXtJ4pyTfxK39AnzMT\\u002fYuYrf+frN\\u002fNe+pbTl43q1XQNKPYVW2ZaMV95zePsnXs6EHc9pd72R82RGz9i82YLKkQGZAG7pueneA0EQ3aE2AbUWkfrAV8u1H6\\u002fk+ei\\u002f38TD+5dw542P0tk6QbWSm93MwQrL54+zoKnM6FSejqbKL5n9oSV\\u002fYq\\u002ft85fanvepOMKqsumSQT55\\u002fWNcs\\u002fwQJCFJJYeg2T7yKpPlHJ9\\u002f8De476drXIly4cT95EDWWtGE+dAmpX868NLkH7NrcwznduBtLs4vQwdA1I3mcHDz7Z+6YOM9Qxj5kpjIaFqd4cqnKk7QQYX7f3YFjw1181dvf4jrLx6Eakg1MfW+4TYJWb\\u002fiIP9x67f4u4E3M\\u002fD8UuI0nDPQpipgUlrzFSdQeeI2yfOImoGXqiFxGrBuycvctv4J3tW7DxOmmYE7xECUq\\u002fD44BI+8\\u002f3r+MngYlrzVSLR2UaummKCQMRgk8rfHNh+x2dAoZ\\u002fzzsjhvC\\u002fKcnnTZTfeezMSfNUY02PTOGGOAdB1VA0phCkfectT\\u002fOl1T9DeMkVScQ0Ga1VuQZSANWzfcwHL549zYecIaRrOqKhzAaQqn\\u002f3Rb3LPj69hfnGOYo5znJo4xlQSUk0Nl3WNcOs1O7nlqt00NZewlVym0uvGwDAXUyrn+cdH1vL3D6\\u002flWDk\\u002fu1\\u002f5NImYKFTscZva2w7uuP0b2fvn7ZB6fj1dsxH6thi2vi9dvOFvLw2D3P0mzK+3Sbk24s94ioy4nWwTlRxXdA\\u002fz6Y0\\u002f5Z2X7wUVkjh0e9fJosX5OGvKaGZd5VSFKB\\u002fz5YE385c\\u002fWE9nU2mu0sxzDsGtra0VyonTeu\\u002ftHuYP3rSb31\\u002fzDO3zJiCOqGZZDlWIwhSClIf2LuOzO67lJ4NLaM45BZ\\u002fZg6MqKipR3mgaP2Oo3jr44KezXWh9Z0VHldPF+W7ojg39IQObkwXr724tFswXTBB9GE3QNJ2xbofph3WqGmJQfvfKPXz8uie4ZNFRSJw7b7Idb066afbHpdYQNZX454eu5s++cwNdTSWq56ih1\\u002fTljECSChNxRD60rFl0hFuu2s27L3+O+fMmIUuh1UQ\\u002fosBCVOXQSDtf+cnVfOOJS4mTkOZ8Nes8cwKqFjFGwjyaxA+Ygv3Y4PfueKl2b8\\u002f8mb+x8IZeo6EyaulNn\\u002f+QIJ8zJlxok3LWpnmmydbSO+OVHF0tU3zomp380bVP0Tlv3M1KWRfOuS5wYg255hLffPRKPvDNd7KsbTxTsnl12vFnA7XoeZLp31WSgM6mEm9dcZC+NXvYdNF+coUKJAHVJKgbeBgokqsyNl7kX35+Gff9dA2Do\\u002fNoyccuFjL39UnE5ELVdErVfmZo++1fAOqy4Gf0xN+gnBtP1SlDpSbnu2Tj3auNCb8SmGiTTSugdkagrkYgStUaJuOIy7uH+fC1T\\u002fHeK\\u002fbQ0jyFxhFJ5oY2RuBra\\u002fSdhxbyqW1v5ZnDHRyeLJIPbb3\\u002fmDAtFnk20NidVHFdV6bikHmFmIsXjPLbvft45+oXuLT7KATWXZuGcwtEMfkqpVKe7z69in94eC2PH+qiGKX1qsW5Z3ERExYlrVYeNyS37d9x50Mu9gLnat366+HseIrONJm7t27dR6LD8y78C8TcaYIob9NKCrNn95o7X6oGJGnA2iVHuHXdTt57xR6KzaUsQh\\u002fWlVdrGKMglieHuvnhc8vZsW8pT77YRTlTLs0FTlm1Jlipcz3svyYaXXKAODGUExfDDI3lsq4Rrl81xPWrDvK25QfJFyugQhpHWHWST6mKE2eMUqqlHN9++kLuf+wKHt3fTWCUpijBNghNNqCoWglzgUuN6pdNOtk\\u002fOLD5mHfV58Yb+ivhXHkFdNmGu68hlHuMyW+0tgo2TbO1+yx3XoDJaoS1sGbxUT647mnesXof3fPHIAlJs35jdRkphSCXQGApTRTZN9LG9r3LGNi3lL0j7Rw43ko1NRTCpK6UWnOLGwUVT9cAIEzP1pK5zrWfJJ2Wpe5pm2BVxxjrel5m08WDXLFomLaWSRCwlSjTsXdyT4Gok3GOEkbGWvjhnhV87bHLeOzgIlShJVeti0nOQjVFTCBhDk3iJzXVO4cG7tgGeFf9JHhD\\u002f6VsCeB9KRv6w56g6WOC6Q\\u002fC\\u002fHyblBVVPTFYB9NuussNGy7pOsa7L9vL+9c+w8rOUQgtxC6tVFubQxaAClIIFBLD80fbefrIAh4\\u002fuJBHDyxiz3A7k3HEVJZzdnLIrnlD2DBwvJLRN75\\u002fshtfV4dV6g0KXadUQ2gsxSihKUpY1XGcq5cc5qolh7ly0VF6F45Arur62WUdWjXb8qvq1GAkVwUrHBqdx5b\\u002fW80DOy\\u002fiFy8vIDS23vJqbgN31cIS5I1NKrER\\u002fWIuV\\u002fjcc9s+PtY4KJ\\u002fktM5rvKG\\u002fGhoepBUb716diPm0wB+aIBKbxrWG3HMa\\u002fHQxiKGrucRNF+3n5kuf520rh2hpmYLUQOpSTcCMFF0YJhAlkAakcchoqcCuwx089XInzx7p4MWxJg6NN\\u002fPieDMjUwU02yzTOAvXjnmi9rt7B+oqr3PotIsobYWYhc1T9MybyGbt46zuGmHt4iMsbCkRRQmEKaSGtBpirdQHL8UtP8gGsMpUgYcGl\\u002fCd3av4\\u002frPLeXG8mchYmnLJKwcisxJlCXMBqtg0\\u002fq5B79q\\u002f48\\u002f\\u002ft+He+LX4L8Eb+qunnnMHWLHxc9enEmyWIHcDqmga20x8fG6Dx\\u002fURn4pDokDp7R7mty4a5OZLn+fizlGKLSVIDbYazuoTbkSdIm2tv1rWvSSdKnB0qsDIVIHRUoGXxps4NN7CS+PNjJbyHC\\u002fnOF4uMFZxQcHG3uG1bi1RYCmGVeYXY9qLZdqLFTqbyvS0jdPTOkF7sUJ7sUJXc4lcU8mdkDWQxRFs1m\\u002fdXaDp1k0mSiBIiafccuR7u1ey7dnl\\u002fOLlTkrVkKZclcg4+zypgQdRIBJg0\\u002fjnVvnrgztufwDI3PQt53Vu\\u002fLXgDf01029gl8DWFJBlN97zQcTcZkz4JkXRpJoCMpfBg4suKzAZu3VrIUq5avERNqw8wPWrhljXc5goV3XPrxU0CbMCEq3P9rUBIDQWE2QNFk1tSs5uaf031G5zmpj6IBKIEtRbQun0k9DYQ612HCuodRt2nLehM2bt0FhMmLrvoYKthjz5Yic\\u002ffn4pA88v47ED3UxVXeOLplxSV4mZ20JVQ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0OYICB88X+BOaRIPTWIQoMss2MsNe8nW\\u002flci4v+mbibU8899ZrqTzvuVrte5j0jRu0ev2NvuIzzpfMcm58qd3G86RF36lOXSRAimuTWsRbRAxEkRShug54mFo+iX7qEZMOfYjxTxw79uCh4rnbLIVTL1j4NhOEPntkO1vsVmArQ+5cJ\\u002fPm\\u002fhuuen3eubLP2A2Z8url2BvWEi0xyqoOiSq9Yql6pYanfoFT9nZTThPUoI2tQakgpkMso3gOa3b0QVv\\u002f2weof\\u002fRPj333vuI526wE511buRTOrQWBguwop+Lf56i8l6H8tLN2\\u002ffqOn64vXn2Zj197ravcuMbbtXXDC5ZKtHyVxhgUB3htrIXVKfgMtYKYSzmgwQOCugghwthIDHtJ\\u002fF7JPv5Rc+r99w3v3tP4\\u002fBo7BIH5JQj9\\u002fMh2ttgdbPVy5npz\\u002feIl75y48kW3++41NfxdHSpb1hL394itdmCpAJl6MrzPUfVTEW\\u002fS+N8FRcBdSkz7+dRXMDYWyx6tT3xbJn\\u002fnPTfu+s8Mkd8D9u5ixh+YR55p51pTbAdzA9uk4Tg7bTq+6ur+30j7+iPxr15H\\u002fLJ1Pt4QiVy7WipUVUlUyfD4wmJ5BXxhrZ82dv2Z+CX4ooytqyKRivBNqf3zf60e+dnvH3z0SS2bVbR7jM8mnonn2GyxnGFpXrjy2itfmfe+8vna+TwvvPZyrVzWpxYrglElU+895DmYMtv0tM\\u002fz6RakKkWvtbTJpaun8LoLMtMpd9rvduFBI3BdEkUPUn\\u002f8MzJ29387fv8372GbvbtoQhGYB9p9HiwoPrvotr4VNr5ul8lf06m8ZpXGa8WYZT1YJjXnJI4EJRPVHCQHElFSlLoodfHUtfi74ZHOShHXGxtfJY198BXe8nNucVPmrYpol4rmIF6KunKOYm+8mFlMm09h\\u002fmcR5ZZh3oON9kp6\\u002fK+jkdf+z6Pf+9p2MGHNPj8EoYPZxKZo\\u002f4rs11YY8+8vNx19vWoYxzGhjlEcYzhXR0lQzVBNUe\\u002fAI94h1IFJlDrIJGhW3gaeBJEcPUdwq4hD\\u002fKbrfdcV9yRrNH2a9NRzoUCM8MF4hGPiWestK7x1K7Gs0oh+jaQDIUakqoKAZKIkKDmnW\\u002f35OBE86nolsg9RP\\u002fSX8diL7znyncffE8Q+LzzbhW4A37Hqijs95reccNJJfgjVUURHUXMKr6OIGUX8GFQmUVNbQjTZQTa50VVqvVGnX1Y55q\\u002fo7vZbd\\u002ff7YVboNu7xAPYpstEcSAyqq9d\\u002fZIsuevsf1Ze7mmBnI\\u002fQOhLdVDh2510w4xK4RMcQIkUKPGi7XmCt8xBUacbmP8tUacbnGZqla46Ww+jlKVh5vrns8edQtltjey\\u002fi\\u002f\\u002fOvq4z+sh95eFwZC+Owc82yPdfcA9ap+g317fxgoQ0ZPP+vO\\u002fPtk+ffhMw42nSx6fslK2W\\u002fJI8t61ZQr64s\\u002fzwX1iDU\\u002f6RZ97HGT\\u002fJF6VowIy5z6KxL0yprkzzkq6XXfsvQhLEVs1KeWfjWsd5abfYe\\u002fxXfoGo1kmUbGCEzgpxwVc7HlZxA7oXn+fNN9x39N171VGPhQWK\\u002fPPc92oRfs21cHDGy2xRyyR2EITg8H5xx\\u002fn4sLUqxDRbiyb0khJ5llyxUVoMdL16FDe58w8MTMOXBjSr587VVX55lurIu\\u002fdkTcc04gmx+y+tzPRTVjRbjax9ySV90LfQcv9J1mKUYcDb9C6wXvUFPxqtdJ9bdfvHHjx37yocExzr6+BlpIEHpBmYm5az7WigLoDrZa0L5Feq5WDRd3sAizDDA\\u002fzqZokN0Ny9iIqffD+x\\u002fdA+wBPi3Apv5NPUdid1lN8y1O\\u002fQ8\\u002fRLL5oUqy\\u002fhM6wVpveJnrcq9y3XK9Vo1QOCBauY4XxCR4t57qytcfX\\u002fLzX4UPbGeLHZiRHRdoLZdyQFYrmXdL8vh6ImDZYrXQhNYF6IIewP8i\\u002fQ1nv+N0Z3uRn8KWSMHsHt49fvzgQw9NHnr0j5NDj\\u002f348sy9aLGz24z3n3hcson\\u002fURm1P9NxxPxafNR9xyTaQ7Hub+VVUEGrCJtc\\u002fBq2EO1gyBN8RnNGEHqb+MHYgQqwuPfCi8o8Jb0adT7NQ8oLwFBOI2J1SvzYY8eeOHTq8J6\\u002fTQ\\u002fv\\u002fanFLnput+M\\u002fJV6f+HQ8aX+2cljeHx3zJ8XRjbQspM2DTdVpJOa2f\\u002fu9m64V8NuD0OeMIPQ2cbxDFwOVDhXkwkvLnEaxfhaWIBe7BGtsrzesv6FYxsmpo4\\u002fsnTi897fiVG7vdvK7TnXyL+Ix89bKIfdNU2cRpiViNyAZ3q+SStddvqcfoJHSG2g9QejzjwBMqu0GTLVJI6ZARU0HwFZ2zlaDHsiZim3ZEtVO7Nk\\u002fcfjR37CwpcvLVx61zr6zcth\\u002f3kzQy\\u002fm7yVzMi3arkAnXQiNnPzAXBKG3iVy0A5BKc0IXj1LHL3350g2LBdEWtGfScopvAFs7vPdbkz3ysm6vH5sQMb8ZD7v7pE5Xi9bsHmVC8o0tOFTgPASht4k6vhOMsRQx77M9jlclE120Iu5eBkUV2BYNsTG1t+zZk0wc2vyzVa9\\u002fNWrV\\u002fm503I\\u002fhsTTnxWwMNEZCr\\u002fc5Jgi9TXhH1SASNbF9rGWmq4fOTqKeVo5vBuUaftBNSu3nOxzf+U6Ums\\u002fZcd\\u002fdoim8iolbcJjAeQhCbxN1oaMC0qxV9EVQS7UqphNg99w4tDwQcejQZKfyW6B+p60xiddmxw\\u002fgVNMWjDFwHoLQ55+y\\u002fkTeGSFNTX8bcwGBymInHTCnfdgcYJb1mn8Wr\\u002fc\\u002fbJw5Kc5HTawUirELi9Q8ATDI7uB1nyOC0NuEClVBEL3gNkznPg6qRsR0ea22amxP+VIge\\u002fbsSSLkK8PiqKFNn0ACrCT+XgvGFzgPQehtQADUtCJRTACNMVSMqQB8\\u002f4xWTHOBQXYnOCbEy2w9DEWmnHAKxyHyk60dYeBMgtDbSIvixzVG6PJ2PhxaCmDgKEDSROVaBY0Qe1KzU\\u002ffa+jFoRSOpwFMRhN4uWlbdWTQSocsQA2xtzUHPi9ciU9cis153GHBVsVTFfO0Dx654VNluBkOq6pwRhN4mWrEtVUyblRihp3Dgzw+qJgK6yzj92VyxBJUM5UnJd8Gg28nOcC7OIeHDbRtFV5ZWTN0jhG618yJ0ARJx1T61dOqso+NUMOaU5vkpsX8ORROM1o0ycCZB6O2jVa2TMAoVd9GVqGZDEaEjunadxvRi1M3CFaeo7xIrxyX\\u002fP+849qVHtDhuiHOfQ4LQ20irCqWJwPzY80b7CXP1Rq2wVA3ZRTobSicck+rzMXG\\u002fB0W\\u002fujkZbGCK8AG3gbI8k\\u002fcCvgV22KhQcbPMdb0ItlM0XIuR59\\u002fiOzFFp6qLPIr6TrH2kCafe+Pxe3eGenHzQygl1SasmNyr4rU593ujpltjb21r0yN7Ssx7wVfXrFm31leuv811MCYXFwygqFYwckyzyYMmfRfgtrEpGJt5IHzIbULU5J6yumOzxwJEZY6\\u002fyy1GgLpEW3\\u002fEL1q93ItzF2nOLZJHYsx+yX795058Y\\u002fc9bLNn9bQLzAnBorcJi3dlXaeWTLlTI1WAna042DnQojU012ddb32D66EuFz0TyXskivdq7c\\u002fvHvnqHyrbjTAQpuzzRLDo7cJo1mgY3uTUXQAy9R0tGde5sRaUVetf\\u002fTa\\u002f5K4V3midi2o4kS+SKNpLfecH5PAvK9vNjhlV8ANzTxD6\\u002fKMA4sW5ok86zRp1BZxIBWArK1q9TSXKNvxqun4t73\\u002fvq3yPTuL9hazNi4Go65Uo2kv65S+4kz\\u002f22RN7RmFAQxum+SUIvV2IzymbMbaCVObGoitbrDDofi19\\u002fvvfqIs3Z5p7vYAovCKBXfJeie33qX3mT7qGX\\u002f+7p743sp3tJuyZzz9hjd4mYm8zjKMVxcwVUNWWJrU0esULg\\u002fkfLLv1P9ymXf8+Uu8SxJ7POhSxAeo7MaRGoq8w\\u002fj\\u002ffsvLet7ObdBvb7EBYl7eFIPQ2YYxmgHdgWjB7p5Uz4em97UH+ctntv75RK79TVXwC5xV5YcVx3UT2IUn5gozv+MCxbw\\u002fI8cKXEJJW2kcQepsQb1OMJ1tAS9VtbLP3cI8XxL19+ebVb9DuD6zTyk85dT6Bp9y\\u002fKypI4ntUZNKK\\u002fd8y9uj\\u002fMqfe9ZWjD\\u002f69st3AgIbpensJQm8T1pKi+KzwkzRt0wU72yuG3MM2s41NKgw4QfjQslt\\u002feqOvvn8dlfUT6ryCOVPkjfBdA36RCqkR82U76T9tJv78H7oP\\u002fwaPHT1SbqEtnCvZs5gg9DZhbJSRZ+pakMImgF58arhsZ4t9L0N5IwT195bdunWTr\\u002fy71Rq\\u002foUOFcXInyGnbaMWWoNKB+Eop8C\\u002fZOp+141\\u002f7X9HJ93Jg32cM8ONgwz75wiEIff5RAFdLUmLVtGxN3DxPbzi3g9nKFvMyhnIPWnYvlQ8vefEdK4391TVqX7NM4nhCc1\\u002fDI4ht9G4qurbiu1TUirEHjDO7TI3PMPa9oWjyg5l97C\\u002fZT6204gzSsjZtgRYQhN4mosinID6jETbTHOaMgyjIDpAdbGeQ3bINEAbdQNG1lH+\\u002f6La+a2J963Xa8ZpuzF1LsdTUM0bmBJlq8VpF6FAhFxgXNd+IMj4vY9wvyVe+JxMfQZ\\u002f4OznERIRwO3dGwkBofbwACUJvE5W8IyWuk7XoeAbYzpZoJ0cjZRtSTMd1YEYE2jv6brj+Ll1ys4Uf6yN6xXKNeqsYJjX3o+QIIlLukUdAirJHMh62KfebmrvXJt\\u002faL\\u002fXPYI78JfuTPY3jKpCjDDGUf5Et0YdZocHDvrAIQm8TXRVSPD5v0dTdiEkGGMoHimaJLFu2sfdXfO+Sa+i4\\u002fKRxP3W1Rs+pqNy4VCrLOoCaejL1PsUpiDWlo0CBUfEcJeeEeE7hOCWea7QqP5r29lzu4+eNyeUvPNXn9bjRU+OaP67qd\\u002frY7vntbM\\u002fxu04MjZbHMYNsk5CCujAIQm8Tfb2aMopmTe+fq3hVTuI3vGf55jfe5Ds3rFC7+pi6OzuQjaulUom1aBSRo2Tq8lFUQIyAObPtmwCL1NBLhasUKghVLxjFqMgNKnLDSgqHnPopa\\u002f6bh7KMe7j+AenTT30+nvicHPnOF2GQcs3eqhobgVkSOmPMPwLoD618bvfnzakDv5ovX\\u002fzz+WKdoLk8U4FckKhXIiIgUU8dT4Jv+NMQECkEfkGDhOlG6sVt6s+xHy5a9JCTTgxqDMd8mh2Q7KvflPrA7x3f9UUpjhHKRbWREOveJpbEXR4kzZo895XC6j5gEvtVM5nv1slkvybJKfLco74Hw1K1phdrKxijFO7whgvwqV595n2m\\u002fBHEFO3iTvsxApKjjJL7SZ9lPZj4Jjq3vI5FX\\u002fjQshf9vm4mNi2IFQjMnjB1bxNHbVVxZDnNmTmH0qWGv4nG5NPRRLRIbRQh9HvDeo25QiMu9xFrNMrX+UguIzYRIjlFQk2KNtqlNqXCIhxAjILJUR3VXBer6Mul91f+9LEXX\\u002fOzKx\\u002f9yXuO3Fm\\u002fm8HWbDMELoog9DbRGR9QUtJm1+gRkntjopflne\\u002f\\u002ftIx8JaW6eVT85SeEjQ9J7QpgKZEsqkoUrfCWNWq53lf0JlfV67Wi\\u002fRqZpWqkJkpjT7\\u002fZGJ5yiSAJaK5Zfrt0v+a\\u002fZVd+4G4Gf0EhZK+1gSD0NnH54sWe8WNp2uQ5L6BOYKv2fIfD+z+bwWfL2\\u002fkE2+y\\u002fu\\u002fy+jbXMb6ypu\\u002f5JzV\\u002fwpHDr16P6aiJkCZabXIUX+I78Ja7LXq2xCFArrX2z6zoD4sEmmrvN0vn2gf4X\\u002fJ0Mf\\u002fOfQkHI+ScIvV3sAlZLmhflkme9fhVAFQ74pBuw72aTHWB3rqB3M+h4gt3AbuDvBbhy5YYVw16udrH+0Jh3L9tpJm7eGdd7PupO8QLXoT\\u002fuevytvtN2YpjAt8S6Z6BLsPp8V\\u002f0l4J+bOFxglgRn3PyjAC9ng0dJc9GmvVRewFtxgNtKv4fTwu0MYGFLpMDeI3uPjg0\\u002f+tXJg3sH3OG9dy7HbunK+M1T6h78XDwp\\u002f6Zj2P5S5Yi710xqDwZD8wmwCjZVL7HKy36u7+Zr72bQ3cO2+WshFQhCbyuiWSsi4xSoP\\u002fXdHnCUce3lTyl+zLFDj3578sijv7PusL+515k3Vzzf+kpUt\\u002f+mckT+S3Tcl3XcmxK7AclQt9pUu37E9\\u002fQ3cajALAlCbxPbGPRIMXVvEvEonvxCtNjYNSvFj6cQvN3HvvrY4T1\\u002fkfjxrT3e\\u002fLoqtT+NT5l3xUd9DU9Mcx40j1IkxOiaJg4TmCVB6G3CFsFleTMeqcaU3wOZyGyNrmM608xy5MjE+KE9\\u002fzlSf1enyqNfiCbN++JjXjgzhm5W45VT6GVNHiYwC4LQ24mqcxTOtGbwQM6sW5XPxFFmpNaOPP713PP6Di8HPh1NyD+Zcd\\u002fV5BR+JtvYFLbY5pEg9HYikjmZRfuyM47iVMm8tkqDRfg6xNmRvQ9Ewr9FRP4+Gse1QJqRaAowyO4QJTePBKG3lcKiN30UlBTf6pJNOWDGDr35k3j\\u002fxQPGmyOSuwrNrdVFWpaZG7gIgtDbiUruUKTJTNXCs1as0Xe2YlwFCluMYcCD+VwiyoR4NUhTg7UqQehtIAi9PUj5\\u002f7w1Xnfw0nKLPo36g6oeV3joZ01RjsoGobeBIPR2ImRFcchZi12h2LrKROcgpHSo+GWKdbWZ8ZqzRn3a1PMDsyIIvZ0ozqk263UXhzLpmLtabWqsodhga9Z1WPUmCL0NBKG3lzxvvtSzOJRcNAe4ofVNFkHVlK\\u002fVNFVjEoBtLThW4MIJQm8TWvyvCJhpsnWDqvqG0FvLluKXKRo42Cam7VKuTyxzOPMIPCVB6O1ExDdrfgVQcM7kc+jkUjszMq6Z61KX16QVIwpcHEHobcUr6Kzt5Iyn5XUTZQCDrRjWWS+kpqwg05QnTgEjJrRoagNB6G1Fmo1+baSj5d7nc+jkMuUaffajLWce58uyC8whQejtYarIavNCF4DslJUUYBODrXfGSTF1N03G03uUvFyiz8nMI\\u002fCUBKG3FW1qjS7ldUIgr+XJXK7RTSOJvRm8BE9cuwhCbzOtmLobJXPOzN2sWI2RFjSaUKDWguEELp4g9HYiNO11BzAi6eFY5jIQxYiCmb3fEACvWkT2B+adIPR24psXuoggkB1OxhKAHS0tpTxexuSrFRFsk1IPU\\u002ff2EYTeZloxdbcq6b4lhUN7bpK8tWzjNPudscbWXB6k3hZCuedzIwDbQXazTeD0kM3Tq6MMwEXqVYqMMxFEfVEQalaWstEIQYSMffuSxhZWy1FTOuPMrI7feI7Xqe01+T5Hm0nnEdg+45+7ZaYX\\u002f\\u002fvlzsPA+btOPat4tgt9StCwxQCsYVzezmudZcAXJ0pxCrV4O8gJEItkpkkb3NhHB9Sj0nxlt3OhVoSykNTsM1W9KBt8Z92Cvq+oSjvb0Soz+r4\\u002fFQb4BpvjXcBBenQ3K\\u002fQeBr1MHePZw7NJ6GYLW8wOYCtbvWXAl11\\u002fyyv\\u002f0NS89BfYBZvo4fj65bf7nsVXu2rntSaKLSwaE78Cr\\u002f2RMasilf7Ys0SNdkcq1UilUkHiqkhc9WIQNRFGKyoaI94C4+L0SZNzDKcPuGRlKlATjWazhmqcqXaqasuORq3I1qKYwhdgZiWOclDGeOWvqyc\\u002f9DPLb0quJK4sVxOt0Che4aMoFpEUFYeSUey5OyBFfSKap2imoqlXSZ3oeK56XOBorObgYjFPLPFy9GHJ3D6r9Sd1cvyrVk8+dvSBI7ewKztzLNNj2m52stMMs0Kf6T3hnqlCl+3ld3oD22QbYBh0Qwz5uwAYAkVYt7bjunrPkqtMfMNaH93Yr\\u002faKtcRL+r3p4zCX5bAGdFmPRFGvWrowdHohQlBXlIUxQOyEGLAIDiXRoo9ZHeWwOJ6wOU+ajCcl5yg5RyVnmIwD5LpKLQ7FzjLuTIp0EQewk52t6LdwNqb5fXQFiYAv2doLHrAZ64hZopY+NfR5wwot+sKt8RHrNGYFERWVoj+7Fp+50+IikJUto4SiF7NBSI3SJTEbfE6mldE3KcNdS+583Av7nzDZ2AnjDo56\\u002f\\u002f2eevy1byzVscH9X0uFgUbJawT4AluiYVbo9xnUHaDPpB5xzzShm4+w2f4iu7KBqS+pnHSvXLni9X7VTXfQsabqZGO2XF\\u002fcpWbjGrWLljvbWRFLBUMsQixlLWZVchSv6g2oUdVSjj4CNQgnxEUHxNkjJmdYfCFsKUT9hEkZ8+54Iv4gsB9x+1F5FMNeiO7H+bfGpvIbEZLTxHfh5vqEVLHS5HzXgPci5nofv+e7MjHyBP66ffhVwGqMrkJkFZiuCCFG6FZhtUas04h1PuJyH7nVRG6VRqzWSLq1CJovKuAqKqJdqtKBNRZZFKssioy5CoTVWiFzSqYeH2vtOZNu\\u002fMeWvnhvt5h\\u002fyby\\u002f78uV9Mgf6L6v3TU8NN4Y7wCgpcW\\u002fiyHXxFtfEFzyQt8OprDag17A\\u002fwK7PAIvXHPj2hfUzdVLJdp2la8+Z2UarRPhypVSYQkG7z05OvWjqj7H+ax0ixmKvuOdKgBySrycMs6M4GWvyXnUZjwqGYfIOKH55DHjTqXkR4CHQB4GHgR9HOuGGbfHzKknRs50lvlVV0xCuT89i8Vq43jZ3O9Nm8K7z6wW1eXnqQ7hl5Pln\\u002f7Eqe9+25S3\\u002f9LVV1c\\u002ffzLqO2KzvkxkeWb8lXXvr6vDxmOSXfM90eVY6QXp6pDI9qmhTw2rveVqH+s1PtYrNaZPLb1Y6VWDQzUVr5PqdNrfp8YgJhbTuU5t5wakP0JurRtlSR7zE37TD4aX+gP7Jb2vYuRvPimjB2V44DClxVeQQbaZ7zOoA3Mxa5pjLlmhbwezlS3mLobyhtXe1H\\u002fNTW\\u002f2S354jUa325p52TVUunrVTvUhytWrV5eP4ERR0zgLBKgg0qFiKOLPdVR89IjJeNRk7JGMRyVlj0k5RHbcq\\u002f4AeAT8XsQ\\u002fCuyhYh+x+544CdOu3tNEXTj8Sk\\u002fWkFHIRLQCxdTTNWEwMua6Mamaoip1c44+L\\u002fCo1LsBewdb4iGGsj\\u002fcsycBDpU\\u002fUNavanxn16y+dvmo58pJdVfWya86aPSag8K1Dxi97vPWLgMkorD+V\\u002fuYa3zMtRrn1\\u002fiKXK6xqSBYRHy5lErwKkAdVFS8AfqxUcWY65fD9RupvnzS+3etwB5757KX\\u002fO+9mt7\\u002fD3Lyb+X4QwcpO8B+kS3RVobcpTS1v+SEvh3MjsIA+gGG\\u002fPXLr7\\u002fmZ3TRy\\u002fvUvG1DHl+73FR6ehESdSSo1shVCvEWbbshLloCCxXwXWq8Cma\\u002f5OYJm8tuk7HL1HlEa25U\\u002fL4R8U8g+QOo3A\\u002fc35XLgTuH45HPsWcqr7rxbbvTW4vLjLvLhww1NpGtKRutNNuttHzdOTrherTo1moMRmgyDFYURYvadu6XWMHQdMOIsz6zhhl++NDDx4BjwDcbD7hz\\u002ffqOxydZcjKSNYnqjSr6vP2kNz9pkiu+aFhvTBQtUcMyNVzvYl7oOvz1WvHrNLbL1Eq96AUvDkyxSFfNdPo8MYhspGN5FfvWNVS4yXe8+2eWLvtOIuaP\\u002fyA6+aW7jg4dgWJqv4MBLgULfykJXe5hm7mbQTcA\\u002fPiy59zycrrfscLHP3YdHUsiIMPjvMtHUAExptirLube0HDg6GIVn4Ectd58ykyYr5tJvk893WPShxB\\u002fL2q+BflD0PEDOfTYcGOaqcAkZQNyMLDZwq5GL7NzGfKnoniMSEuSRVzzSXDnx6gxZQisb0LsXpX07GXG031mMxpDbhZllxvat68OHC5\\u002fvt140Pr+9avGTXT9pLhNJ9TdckL1tkds\\u002fap\\u002fjMfjbo3MdS7mJl9xW1yn3KBV6cVKgpKgYmacJwCTeK2pdxZkCVH\\u002fCyV+eQov\\u002f0De9+iTy170ySEz+mEZHngU4FLo936pCF0Moncz6F6z8rrnvMotfddGH79pHZVIVamRu\\u002fq0xY7O3JsuzyLfq0LNYL5gE\\u002ftZO869TD58xOa7IPsK+M9vOXjN3n9h6LRuhQrWnXaY6fgP2NXslXxK47Nc\\u002fgLg5tqiaHNlnhsUZakv2p\\u002fQuBD4oqk8cPYMQBR03\\u002fC+hvi\\u002fKMBPsKnyzyv9talkr0h9fucuyW7fVakv\\u002fwsd4zof8+q8O\\u002f8h3x1dpjGT+ClPPhQdYIGoaEznNVFVAb2cylXrqP7q+jz6xZcue\\u002fF\\u002f\\u002fwdz6o\\u002fuHh58VKdjGBbkdH7BC307mPeB96j8\\u002frLb\\u002fuNzsupvrKeytK6OGi53qDWIfSqRlI4gX8WYnVGdj5mRQ1+1tX9USf4W3\\u002fUdOThtsYc4CFNr6aGGpZ7DK7WaZpsXKjr3Fn1GmupsryjFjKrYy2jFgM743cAUL7VFlCE3yO6UIzwAPAB8YMWKazbUyO6oi7zlO5K8+DvVtPpxN6pvzBfpT7lFJkbI0NO+D5n6VVj8cXJvFF1B3LFOO35lXR6\\u002f8aX9t71fhuWPBHgP280AAwtuKr+ghb4dzHvB68rndn\\u002fUdf\\u002flrb77dUaVMTJHIe6zrPdMSiupIsb8mT358P8TnfhDz\\u002fDfyKHxY5ZCwTMstp9+2tD8BGSrMU95hboI8jmz6EOFkMo01WIZpLO6MGmj0cTc7hCUn8NQ498zpv34o0cf2QvsBT7Ws3rDHd7JLx4w7o2\\u002fVzkhX81r\\u002fn3ZcrOc6Cyxz8QgBoq9\\u002fFzzfBXRyuUu+sM\\u002f73vRKz4ST7xt4MjA0e0LUOwLNqlFQXawnTvXr+\\u002f4eNZ7zxbteZ1Tl9fxXs5jwWciqOsUK9+Wyb\\u002f\\u002fvTV7buXQY39kDo0fe0\\u002fhhLEU77\\u002fRNrgNcdENb3aTNFfK7QLQqc97ti\\u002fU8JEkFz91b4bGrCwvf5fFbDHjh\\u002fb+y+ThR9\\u002fU6Xl1t5p9X4lr5j\\u002fFJ\\u002fRCdz\\u002fKzyOq47xX5+6Q3h\\u002f5D9miz755zXXL3suAb8XX2koWqtCLoKfNA3bzxLKPv5CuV0\\u002f4PHMQyQWOWUEtxhzXXB+U2p\\u002fId06dfAWvrHqQgekpeXuvuqrWAjqrXfR5RIqicWb2o9Tif0rSmqn7bJn5vRvATB7e+xkj\\u002fhUVL499KarxsKQX1R5aEOMRO+qz9Ga6bv6het8nFOIdhd9gwXyvC1To20XALz1w9cCd9PyEqssyiC\\u002f+U1ONRWQJ0aKfYJu9ldrCinAy2GjhnAvnQSzMPtWsQeGMm128\\u002fBxQBtZtqowdfOxh6+X3OxCpXITIG5TfYGVUU3cTXS\\u002f73WW3bRsAv4PtC+bLXYhCt8KAp\\u002f+y512u0X9c76ybRKOLdfsKiEN1CRHX++rrBhl0O6buajvl2pe4FUL3c3ftmooqK6ZYs18jyFTQSlst+jnY7ZQtUc2OP3aH6+AarZg6OitheKACusFHbwHYWuQeLAgWzEBmIgBx9MZeE8WNlOvZHEcRW9Pcr6P6xg8ve\\u002fE7hKFc2S7bF8D7LjZiJI5p\\u002fsoz58qRYtberC32oHYBlZJSkI\\u002fwdiMM5Vtc312\\u002fnC9HdPbNKovvUWQtUUfLBtki2n7CnwNVQNRc8ziZJuisA7IEyEGqinu+Vj\\u002f8Z0te\\u002fFtSRjIpmHvY1pL94VkjGtkWLM\\u002ftXE9SVJtYnhcUz1efLoAGDtvZbpRtVkB\\u002fgT\\u002fOPrjs1p\\u002f+7bT\\u002fnWu91ZrM3hVRTtP0uOQnWjfa1rAgt9cU6FCz\\u002f4DN5J\\u002ftpP\\u002fJfBEj4mc1WAOSorZThc2m6\\u002f1\\u002f33f7S++Xyf9Ljt\\u002f3LRhE2WZhk8LA\\u002fKclisTx1IRl9i9tZjfTvKiXaCaCb\\u002fqdicvEeZj\\u002fuu6FY2y7FNloA\\u002fkA8Csrbtnwkrxz4HKNf7oDoYZv5j2qRajjZUL8\\u002fwuwc0aNg3azEIUuABHyd5nqOz8cndSbfIderbGMorMacGHZVY06v0k6X7pc43tvWvaSj39bkj+TY4NfbjyuiF3eaQbmPi2xcfGPW2GNo2aj0J+W0hnX9BpDNc\\u002fmdeou29lid7BChUEHAwr4dy+\\u002f5eZbfMebFmXmF9dKtWtSc1+Ewc52iQiC+h6p2Ie19sGfOvHVLypl0MECYSEK3QFm\\u002fPCeL3eu3PA\\u002fDsb+59+lR7P\\u002fkq2IrtGKjJc+0Yu98krhNLYTmrtFmGgV8VuXefvmW5be8S9PmPxPnlT\\u002fJTkxsJ8ZaYmwXQbZLWVqYuv32YU4aib2lSKjzKBzZdHLmHyM0aIf6mxXGuWcxaVSRBhvOq3uXmvYPpWyPD1DG2AoHwBe3b9p1ev84ttWqf35Phe9ZKXEvXUc45o5RexsP0CP+irGV8RGD+nEx\\u002f\\u002fLov3\\u002f1z0j2ywLrGLNQhQ6lB9QzXf8aqdL1v4gyl\\u002f1Njnk3p0tMz\\u002fse6RIN9RGvONFIjZHGdXMLcFEK6Rj6wbVrQc0nXjp0jsGHyL7xr0m\\u002faQcv+9gaQHKAW03f8ynoqVs8NtaVXdMJY45LZdiVkRlb7QWM2NMamb3WZ+Fb1Hx+amg8kG2mRH2mrfzWicM+JmLgrf23NR\\u002fc6XjR6+mcnPm3N1X0tFfQcjwjGueK0QXGnx11huhCK3uxZoRUfMNxv\\u002frz4187dcYQXeyb0FZc1jYQjcM7x6vsen1XauTPxg2\\u002fh2\\u002fWh3mjVndvcUtMWs1kkk8OafnOV4IpXfUZqjmmnsQuYy4u1PsW\\u002fqpvOWFvnPgx\\u002fru2DdB\\u002fr8rar\\u002fwKTtxRI4NPMLpiRVltFdRhWQncENZhuiC0xZVo6gxT2hCRXPuUVWxMvvNj+nDgKrYi1q3alnwob+oGstWtnopw0uL0Qw6wP0Cu\\u002fjX\\u002fTdc9aP50lWJ+i2xyOvXabwuxqxaSkSijjre56j6IrMxms27cYAF362CN2K+LLXJnTL+G39x7LsfLAKfZMGJHBau0GEqq3R3OnmIX+xaueEbmdH3fawytvaLrsZb8l73atdj+jSSRKYtPFz46SjFfxYgLXKSnQXpxfbfSNQfIbeMih9Y4s2JX+jbcu8h8if3Svrd1Oo\\u002f7bJ6+FOHdiUz64410NKb37At29ikO8qqpTtmnAQiEluVpk1lip8rp09jrMYgaBNJqlJ82q4mmQfYzcBU5NiOqd\\u002fbGWS3APRzVIan1tYzU0CHAKK3r95ceY7vWpnk6avWaXTjWo0vm8j9bctN3L9IDXmR7EOu3p8i876oAWBALvrC2LgWG\\u002fCLVTQ1Yu+zCZ8xo1\\u002f5uIz9Kkce+4aCkSKcf0GykIUO07bOTB7Z++dd\\u002fes\\u002fW7X2N\\u002feb7GffVx3p\\u002fis3zra8J3+F7zFrNTIZRVHGHC3XrheOnJGWiKpSelKvpNJXEfOalVTYqFXyzCe35W7sTUtfvDc2fLVT7XceJhnfa\\u002fIjnzYjD8vRwSNP9ToDU29MJWZDtdkwdUWpzWmGHSBijGorzJRfrLE5R4UWBYqNzzN4c+8Lll3dybWrcrPmWt\\u002fVdUqy5yfoHUvr5oql2N5IuqsdWGKBRD2Z9260+DgaGWdGuPi1TSNI3gAdiosRmTSYnTbhn8zYI5+1Ex+cOPTofxNwn2CblQWej74QosQulEbCGUtXXnVDIvqOSeFNGFm61lte4jr9j+TdulErshhrGuv4xpl0sdP7BuXVXE1Zi53iym0iIMJQESETOKWOUTIXqzwpsP+guFPHTP7kBPpwh3L\\u002fZbay7z4z4e5zSfL\\u002f+SMTHD8+zpq1X77LL7n9w8kKP8ls9qrVdUlkv8vkZzhx2Y\\u002f0MBaN0zuVeddoOjGbrazvc1R2sEIB4jXf+l8v8T2v+5N6vxuRIj7\\u002fokaJ+k6seZz0yKt5YCMjI6fYQrThuxu6Xxkt67wyi6o3qbUjMeuGyTZX1Gzq12jNarW9Hl2doOt6JKosJsKgZKrk5bJNUU8RF4GiBmRW++BneFq1AtqlhrqoOWAcO+0kX2TisW\\u002fY+n\\u002f3\\u002fsifc2TiaJm2O3VeLmQuJaHDdMqhA1i09qqrfa5vGhd\\u002fNyI3xBg2uw5u91V3h+vkaq2aqHyPCUWpYGH2om+g06GhClJUiC2mtzZCMGJQtAymLi42E3hOkLsEf9LDwSry2OfN5K19Yle+Ie\\u002fVfFb+7ELoX5fJv\\u002f2Z41\\u002fd9vSPnyVr1v3di\\u002fziN\\u002fxFfaU7IX4WQkcriAyTjY\\u002fBn\\u002fRLpCfUPcfj1xmRlVWVxX1YWxVTfjdSOloFhydXRVHnC0FLKeiGF3PWX6VO\\u002fRTltjsQjVVcJhodFs\\u002fXbI2vyyRfN7V\\u002fPmyyvyLbN8gw44XAt1kWuBWfyaUm9AaNmZgHuLrv6kVHOv1LEsfPpOJvw5h1i9Wy0cdscZ3c7KruSo3p18jkgqTl+q3YLC+m+S0Qf\\u002flLzwi8EVGKJGaLSIRgEawIVpUantrsc7x9RYx5hOR7NdUP9Qh5t8pEH+aUx3hRqQGcLPudjeLUiugooll5m8FKl6rMXMN1YSUCIks07rTrDyojA9dSff470yV+QnTWLn4DdJuISKVYQ6uf+h7ycq0k5Wc44z02puBNb+M39rsa1iICX1XjIzAnxZsnTM4PTMaXzTgPSPLAk5J\\u002fFhn\\u002fSw4Of8+UxuW3wQxMH+6S4VIVegNTtFKaLhSxdu01l404d+ek8loV\\u002f3JgRSwR12mFG1zM813V3aQdLFMjnRiJVchEJUGnPPic43craCwDGhcDV8wCpFmveQWhUvgUzxqvUtY9B3Ipf+u0W02A+IxnRaVFjRuTjHKqPDnLC9IZ5MUR1QCihZe6pRE\\u002fZ5afUcCCVhGtquBRnRSVEfFmt834ttT5ntTdQ6b+4CnNP4nhi5gnviL7qTWq6ihbIi7h+u6XutAbzJyRNzwxXLtsY+\\u002fhSF9QJ39NYvyLgJussZ1darjCR9ziO7jexXqlxm6dxtKn1nhBfDntblgbV9qBVkz754Ly4jFlYeSsxJGyOH1jY5Hp9\\u002fAUUUA6fZ+KL\\u002fwSTV+Q5gJl5ntQDIIFIkStohHiBZUxUfukyXnc5DwiGfebOj+gtv+kuPtyyb9B5D5D\\u002f6Hvml1Fe6vymPasl7hEWWjnbCtoWPnTrr6v5OrqfSv9NaesvyFTeamDO0DXILKkT2KWe8sGH3GDq+gmrepatfSq0R6M9KghFyRDJS8tP5z9zc\\u002fFLGAueKpxL0TOtM4NGmOOoNHbTi0wISpjeBkVL\\u002fuN40GT8n2T8qQm6THJjx2S\\u002fEHEfQExX0WzPRw8+KSZ8Ro6VXeOBRXZ1iwL+TtuBaXxOn1637hj9Zorrx135uZRozeCfy6izwNzOQi9GNZpzDqNudpHXO4i1mqUr9OIPmyjPLCUTiNx5QWgMQvwM9b+jdeb+TswzUwxT\\u002f9dOMgsRXZeBGrKKvPlIl5zUTki3h4wOYck54ny54Bk7JVk\\u002fJT674N\\u002fANHvYv136Ji8T\\u002facGJ1Z5FKnDYPnGWC5n4pn03k3c+bd2CY97Y5r11y3bL\\u002fPV+aqN2bib3aizwPWIbrCqO3vkYguhD41XOFjLvcR69SyWiOWqvWL1fjFWHq1qFSSg+TFUkAa4p85D5wRiPGsYOZWZ+N36RhTW0y1saARhaQn8OaUeDMqnlHxjIjjkHj2m5x9JuMJTTlFPjGOPzIuehjcw6D3A7uw+thaOHFg\\u002f\\u002f7aGcuUpzwPnsk8m4R+Lkzxs4VzVX4V4CfW3tb5L7UT60cr2boJ79di7bV4vxHhatDLQboQiRdpxHIilmFYqpZlaugvu4Su8NatJGKZWqqllTKFB14MSL1JIzIfZ2ordiVi0EhFXVndodH3bgy1x4znqHEM4xg2jmFxjOA4Qc5x8vy4uHoN\\u002fyRo0QZL7V5Un0R0H2T75NChYzOn4DM+k4bFbtz8jLTYT8ezXegzeapZtjvzQQK8jc3x\\u002fX2nOvfF\\u002fvJJlQ0T1l3pVa9EWA0sL36kX2B5LFEcF9NPFquhD8sytSxSYYOP+df5oqYiLrrKHmJnnsHFnvM53uFTIDOC305\\u002fqEguKvVZet090InwPZPwD9E4EwLHcRw3hZgnvcty0eMZesKJHsdzHPFHgL0Y9qL5o0TR4x95on\\u002f8HWW\\u002f83O815l5N+daDTyrCUJ\\u002femZM9bZIuZY7pxGdOSe8a+nmxQ9Ujy8Z87I4qURLVPMVzutqYCWwGnQlcPNy4jWfq6+bVVpLuW3Ex+MxjoqjRwWrRa\\u002f2KsXf1RmHjcvHT492Gg+k5WXBUwQYOZRcYBLHNb7CD7tuZlNPzaHaRyR\\u002fY0YP\\u002f1Z1\\u002f\\u002f9Bq4fAH0DNfoQjGE6R+9FFsRu9ef9Vo19mKG\\u002fMqznHb06fiT2rLfWFEoQ+e85calJcCOB8DSAaTzKAWX3F+9dI52\\u002f9bW1VHkF0sWeqUuyhv766\\u002f\\u002f5HTW0CbzsRjVCpIEQoVWYKQKgCpvATSo7qzKxRQUhBctCEosRbAuJQv\\u002fEVftGyD2Ur9SReZlF\\u002fK++VKHrM1\\u002f\\u002fmVSe\\u002f\\u002fEYLxR4WT6nOsq9dj5ZCPt1PF7hoFnpSy0LmHCfeUOOPc1wEph6sgH03uAE0z1EylBg5rffXhY7Bg\\u002fyHfNnP\\u002fuOS4d2jI7Zy0lit53Wb93abPM9OM77OpbZoIQYiotZWT1sxRNGkFxHtGO9w1ljt75rIt6K8LzX3YORHRNWXLoZZkRr1Dsxfsym6m90z45Pg9M+zFX3tAjMIQp8bns76yHuL6Wbdo6R4uonO8\\u002fBzY4BMlGuMPfXZPXsSgWTqCCOzGfbZfBnwq9fXi\\u002fW50dnmb6iAKzumjND5rPF2LxSeLTs7CxRbd0DaRGhphnJMvQDyE8USXFr0YyhaVwlCmgrMdtZc7H5DMocF6APnJwi9LZRreXWJF8jl4lPXGt67FGXM5B7QTWdv0Tfz46HY1wbqRTDQ7J06Rcz9nBXICDwNYereJopgclvzCqnOzqILSIZyqsVjOwuV1KFk0oTQBbKL73YUaBHBorcTQ+pFSUVnNTEWhEzV15OLq8N2US8BoJo6KcJ7Zy304oIWhN4mgtDbiWrmtBD6LL4IFcAJbqQrmyMBbWkE3CRFLH\\u002fhsr\\u002f4C1IRu57jL5lCDc80gtDbiZjUo1N7yg0aETnnE1Rjje4gG5Vkjpxc44281npO4Q+YLQrkYp4yviAwtwSht4Viv92qpk6VtKgXN7Ul14X4rnLD+nzSKi1lVksqc2splbS06E0541KcA7iWnuB9n2eC0NtDcaIbzYp9dBVBysQPkT+NRs3vRMfJnibcVBA8mo1ITeH0UtItxUiaq5KX47xYtNxU0NKi72zt6AIXQPC6t5HYa5oLLkMtqHZg5ICkR\\u002f\\u002fQnkgS49c9Tzt4jetm4pyCL6yrV9KDNp0ji97TKNySOIFs1p1tBUXJ8GHq3iaCRW8j4jV1qnkqilVxVTGsc\\u002fFnkyh9jVGju01aZmaf47k06kNpciyqz\\u002fXUPXHqSaUQ+uyccZCpP9MdEZgngtDbSMVGmQp5VlhnVYFRcTn793\\u002fP4x6uiSKce0uqcMYJKlLf39Ext5bSaJoDZwanXwwKZHKW3zEwTwShtwcFME5TkCxjulj9sMmLADSV43njAnDmE0sEwFNjbGyqIGZrGWq8aFIGzMyqr5iWqe4qmrR6hIELIwi9jRgXZUgxdTdFPiinRGuAIpKnnJ3e1fDEC8WCWcRM0tubz1G+cblG13IfffZlmRVwSouaqQYuliD0NtJtNQV1RWip4FSZxI8CoJpmM+rDlLnnfhLVRuYKCFZ1kn+1Z26nxGrL7TU\\u002f21DdInheJIWi62xLxxd4WoLQ20gc+QwlK2PdxaHU0JMACGkjQEVRuhC+Y1LztupB+bSdoKLFV2dhgoEm2pw+DQpYo0lO4Uk7s2L8BR5DFCXTMHVvF0HobaQz70wRsqxcweYoNSg6sQrpTDOtCDtl\\u002fBu7pTb6sWiUmni1CEaYBHCz6t12YYhGSY66rFw0zMYcK5Cr1GF2TR8DzRGE3h4UYEmHpKjmGeBBvCoef6h4RDF1F0QtoqPiuU27\\u002fm8r5q+PGE8NdREQY8aKQ959rvqQLRlnZDR1imvC6y4KqNF664YWuBiC0NvI6prLEPIUxYMxaNJj\\u002fONAadG1UV5KcpS66EmH3KtADa8GoeophX50zix6VUm8qMtl1um0qCq5yWutHlvgwghCbyObhklRyTNp9Hoj7\\u002fbVowCopkX1B1WDoOoTJT8M1HwZd66ASNExdVcjAWUOMJ4EcM3Gurvc1AE2MRiccfNMEHob2cHuDDRPy2jwSdH8IY6X90pWNHhEi9ZEMv5jx1bux4vzQCZlWWaZ+xzvbk8C3jf6y89yheBTo8Git4kg9PYhUeGQzhpOtxq+\\u002fmljG61PU0dRE84IGGTiMj41acU4LW9XYBI\\u002fl9ZRARZFmiKSTwv9YhEM+BSdbOXgAhdOEHp7UMAUCpXCogMpjO2ORoqtMtXMiZKLIgrjUiSEWNW0MXX3KPUyRHbXHA7WOE1Q9enMVi5cWNcELWPyFfykJpMwh1l2gackCL19lMZRs0aHFAcjdB9y5b3l1F1VRBgTnwCIIUGKuHMF6mWO91yyrHNRAuLystJdY4utGyG64O028VqxYereJoLQ242QpFP1YnSYmynCWdWWlrv4kmqq4wCxt1nZMkk8SiJNtW27IDamUQq4mRY9Rrhf6jqCI74AsWeqWsm6QlJLmwhCbx+FNjy1hjOughxksBSuasOiF40a1BctGcQ5VSUTFQ\\u002fUxc1l5poCfOTQhgTFJ0XxCToR7pM6\\u002f6p6SP5TfPzsdjRnIIDH66JkIuVpHhuYG4LQ242QNBxrvV6eKG6idMYV9eQEIRWGAcTYvCjiUIaVlqmfc1meKWLQIdJIvskrYqmLftSTf+FrNuEQmX+6KXwuaF+8JFj0NhGE3kZKYdRSKSx6n0b7oRR6adFzkLJ16EGAinPOq5LijQcSXySK7Jy7YTZ21NJS6JoIXOWjb1mb\\u002fZ4aOC5Oz9eQTYAMVR+Nh3LPbSIIvf3UnSo1lONRNt37WyQr2hYrBqEi9nEAMcYp5JlgPEpmZJ5SPzVpRPBlKIdx3vl8rwMmy6y281l0B3pkfgYaOAdB6O1GTVL0IPec8DI9tTVMbaMJsMLrYwDV3DhVsgwVVaXu\\u002fZwLvbzw1BrbgA5lQnxKZDOvnkQ4Lc5+yrVY\\u002fruoP68+CL19BKG3G+NrTpUJ9YwaV4NGuybNclUcSIJnzPoJgFycQzRr9ELLTJbAfOR4+3pajE0cnjGjdTLjvKomMl00UkBjiiqQDW+8IDhwJ0wc9s\\u002fbRBB625FaLlAj9+NkE9M3FyGwHpVJlIM4BbA2ylHJsmIh7yd1nsJKVZLCoqvkChPqJomi3Kum9UZFWpQYkb+Ix82bqwf4pqlRpcind6FNclsJQm8jCuCoOQGnTE6io1O354XX3YOZxHHYuwQgyn1WWHRFlDwrhT6HOd6FsTZSS0XxIuLwjOInSBLnRetJ2UmiA8MJ8mN\\u002fZkf+8UGT6Ieik2X2neBQd8QeCRa9TQShtxtDkqM4dGzC6Imp28XnDsWJmFx9fX\\u002fk6wDGRA7IcgEDeU2jSZiHjDCvpUXHqJKNxTqKMd5TWHqLuLjoILdn+NCe10XOfOaAdYzgXAR4cPutDUJvE0Ho7afmEAQZWU3PEWiUb7JpjqqiCHLqAPk4QGSLXbcy2SUbj2ZM9+cSod4obWXRZNJxEmM8qklj6q7AKVGnIIh8yokwJuotQi6heUM7CUJvN1pM3UUYeefw0PjmzZsLj5X3mUOdF8GqjHzd1MYAOjKXgWa5QKSSnUhkHOY2UaRMvqk1ilUaJPlWXBu5PIo8QpLKtNBreCegXv0Jr54Ub8qOMhnd+8I6vU0EobeP0jxK3aOcpFiD12o1AYisTR3qADqE4fG+PacE6IyqOVDWgpfs4Y7x+bHoKkmixfaagfqDtz94sj\\u002fq90CSFGG6CpCgOUAkJvNAI7XVFXk4gTYRhN5mbE7dAwclP62eWuw1U8F5ERapPcxuUoOwrJ5noGmOYkWzIx1uFOYhftz4pGHRM0gZxG0YqzlEk2TG1D1pNGlQzbwqGSqm6CiT0TmHFSwD5yUIvd0oNVCGxZ2cebMYn6HqilZI5R467zEu7nJAngtYNSn79tWVpw1Ma8U469OVcLwHeHVXf45qUp8xdW+UdBZT9H7PpeykqqRsCFts7SIIvc2I0dSDDos7CtDZ2akAVR9lgK+L56TRMmJut7y2d01eVKVRkrmtLnMmtQRFFWpaTM\\u002ffsm9rCkX9eSmlnki5r+8096CNdlMqPmXT1MUoeN\\u002fnmSD0tmMmFeQJkx4B2FWWijEuSgGfqhbBKcBOjspz99QcFJFxdfx8WEiZdsYV5WLScnoeM+DRwhlXFqUgUyYAYuMzh8\\u002fTcuruIWUgCLxdBKG3GRFR9S7f47MvFbf0lBFwmgGaFOWixhqP38pOB5L5Ys4\\u002ff1NhmdpHJ5MZ0XgiSca0py0XPw4gxmZaVLgtWy1LAmGN3i6C0NtHkStidNST\\u002f5vh4Ue\\u002fChgY8lBGwIEmeHLR41CkokaIgmZOIDE6f55sL7WGF93paUUek0ymk28cFM5Br5kXnSoRraEdU1uJ2j2AZzEKkB7Y+wjwCI1CLKUDvRJrCviaKKgcATg0Vbtd8hyYVJ3zMlJTGE0UJcWTG8an34WkuUBOkU6rwimAqnH5mJq8sUZHJAFwzK71cqA5gkVfGJzVTsnnnSlAop4elQMwo9Krap6jJPMZbaZRvbDoivpCzACIr6dlbTsALZtEGhdlWo5TEMx8Jd8EzkkQ+sLgrLV2Z91nKFrH6Uul8zGAHnq0zA1PPZAyn9NhVytKUitGZDomnyJPPRMVUVA1xwGsjTMEl5VTdxFKoQdj3g6C0BcoS2KXAUyopozccAxgfLrtUpaLUod5qi4DeJsUjjgwygyhU8tmWHSMOQYQOZ\\u002fBdGNGwZRC3xH8cW0gCH2BsmipS0H8iOR1OKEAuzbVGmv0LAfSstb7fBAZzXxhuekSMzzjrlqG4vDiULry\\u002fBRAJfIZonlWlsJS9WHq3kaC0BceCvCZPXtSEEbQU\\u002fCWwmCWwTTFPrqSaCH0HfNRQdn73KuSKSwtnYMlhUUXSMSzxEV1gP7cFw0kKQZnMKWnfnew6G0gCH2BYkAN6Ihxwx28tBD6rsaeHEnpGJs3KynG5qB+QpQVzp6ccVctxeNRSYHD1UwBemsdOajLpRB6rBL6rrWRIPSFiZTN2eIjJj+aNeTdQItiFfUpB9c84HwmSjomHqQoSFnUtpPGGt0kKCeLpDXWxq6Yupd+RivUoYjum7cxB6YIQl+YKGBE5fsnlP9cuuSlETWHaJoDicxLd9IysMfmCNkYjlNiZu4S1NKiJhw5Pj8k1gO8pGdVhpLnFEE2lI0mAu0hCH0Bk8X2X+WH9wyV\\u002f5whLpM4lAQdP+cT54DU+gwlGxdPvahbSTnrqGcoThCvpMeS1AO8Zd+KDHCN2vRW574sdeCpCUJfuHj2P3KAc31HqqlDSedR6NXMOkSyMTypma4\\u002fH9liH90pqEhy3HbkAHHZxskh5EV6ayg80UaC0Bc2jbDYktK4G5KiQ8r8CV0in6Gaj5JTy6en4VJ43dWLourr++3IdFiuqmvssQdz3l6C0Bc2Z4aRNRqpJzlKrSwPvXsettfqWZ6BuHH1eZq7KWdcl0oN1DtAkMkjcZpPDVQkz0XJUNJGtmugLQShX4qISXOUcXGnnv7BLSLuzBDyCdFabKOpQB0rZhKKSjgiMkF3bdrpNuWM0\\u002fnKnQ88BUHolxhlu6bECRwXnQ+hF5a4luai6iZwNSpmalsvVlMD8VmxXz5O\\u002fXimjRmGkLoyhTWXea2GEziDIPRLEUOaqtdhm9Sf\\u002fsEtomNpBuLHRcdvcp2TUFwBKl7qiPoUxagf5y2ksL0Quqeea5HC6kqLvnPeBhyYSRD6JYj1ktdROaAkMKftmKZZWstFNB\\u002fDj15z4tap\\u002fXtLNoni66JEYk8ygN\\u002fJTlOG+KQNZ1wuZv5y5wNnEYR+aVGUmQKTeffR49qxm+I7nPv17+7dqYKMGJdYBvLydVmVxzXAZaJUMScBhhkuzivVpHDGeVIX1ujtJAj90qKoEGuSL6SH976dI9+doBD5fKx\\u002fDXB4HP\\u002fRQrHbBKCv0uOAel2EDl\\u002f4DA5dfXm5RjdJETEHLuyjt5VQSurSQgHGDh48Xv577uu5N46\\u002faVMkJ2vvSA8+9nBx86AHGKsc86Raq4lHypDcE1kjnbbYBsxQsjB1bytB6JcmDYHPnyd79+40hYc54+LSGcdKltcmvGdUOF3MqmWFWMXLPNa3C5xFmLpfmrRrq+qs2naX71nsgdqEKBM4D\\u002fB440GGxKHkeHVlUssNrAjbbG0gCD1wMcx0qCnAR3itA2qTeJKpDLXHG49InCgeXOp8sOhtJAg90CQDipJMimdMfAawKC46P6MmyRQc6l1R+Xl+tgIDZxGEHmiKsl1ybQJPWjZpeGTqTk2cKA7yzIV89HYShB5oBbUJlHF1pxerVJJC3ZJlJg5CbyNB6IFmKLbRlGQST65MAvRWKlp63BKH4lCX2jQD2MRgcMa1gbC9FmiKUrX1CRypkYnT7hRNMxSPZuJCSno7CRY90AxTEXAT4hnDTwDs3d0oS029TE7PRq0EobeRIPRA0wi+NqneO\\u002fVjp91RVqt1htxUo9BNtY0EoQeaxiC1uqg52OVPQNEjrrjDJg5QJRsdmUgBBto3zGc1QeiBZhAAIxJl6r+Z7L\\u002f6MUCGGCr30UkUyEXT4a5KI3c+OOPaQBB6oBk8gIr5ZCry44MMNqLfpoQOkKpm373uu0no3NA+gtc90AwKkB\\u002fY87Uzbis0bTURhdRoxhC5Bwlibw\\u002fBogdagXCuSrRpMXWfRHOYagYZpu5tIAg90ArOnTIbaaLAhBYpqrvLYhWB+ScIPTB3uCL2fdw4B3A0NFhsG0Ho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PTf7\\u002fH7vXi9HsJaC7SiNwBmMoxBWmoyrdKTCYWad59eE2QYsNNpejK++2E2h4+5iCeeehcwbP98DYhU5fsCUw3DGGXNCcf\\u002fg5Fujyc6ZhBM2DCM0zDrlbVhl6q6SfKNm7Zxzvl3cd6Fd7N9ey4pKYm79T68Jsh9eccOrZt7KLuENHQmJfkJBsPccMvTjJt4NStXbbDIbtQW8CO3aRnAJMMwzrZq+ok9nex7LNEjJLluGMY1mLXJPNQSACOrpqiqwtRpczjiqEt5+90vrUQTZ4tS02V6qqqW5543sNILUqnp1q2jpQoLOze+\\u002fPgNPXZsIANpUlMSmfL9r4w68iI+\\u002fPg7a5y1qvIK5S641wzDuM4KqFH2ZLLvkUkt8oFZkvxm4D7Kq5PWuB83o9sETzz1Lvc+8BqBQJC0tGQrkKT5EZl7LnPCQ6GwHbSjKAKhKLicjnqRUn60R\\u002fcOaGHdLj8lfdxCCJwuJy6nA4dDrVDeqjkhg26Sk\\u002fxs357L2efdyZ\\u002fzl3D3nRfhcbtqi6qTLjgDeNgwjAQhxB2WcLCjJPck7HErWGTmmWEY9wC3sotkFDkhcnILuOKqh\\u002fjovz+QkODFoapozaimS6mq6zrhsE44HCYQCBEOh0lPT6F1VjqZmWl06tSGLp3b0a1re3xeD5dd9RD5+YWoanncerUhsIZRYUEIBIKsWbOJ9Ru2sWGTWaJqxYoNrFmzkW07ctiyZSe5uQU4HA7cbicOpwNVUVAVBd0qTtFcUBQzzbagoIiRhx3EC8\\u002feTIf2rXcVQiv97Q7MohY37Kkx8nsU0SslpjyCmVoaWZSx0udN15nDofLPopWce+Fd\\u002fPnnYmsv3jwSSyZyCGEWeiwpKcPtdpKQ4KNrl3YM7L83++7Xgx7dO9KxQzZt22ZWOcb4467i2ym\\u002fkpTkt91PdSF6bVi3bjPr1m9h1aqNzP3jX+bMWcja9ZspLi6lrCyIz+fB43HZOenNJe1VVSU\\u002fv5BuXTvw0vO3csjg\\u002fSq4R2uAjIR8UghxVYRGuMeQfU8junSh3Q\\u002fcxC4t62alk++n\\u002fsZFl97Hpk3bSUryN4uqrqqmSizrwOmGQY\\u002fuHRnQvw+DBvVl6JD+dOnSFqez4m5Lqtcg0DQdp1Plvgde5ba7XiAzI9W+lroS3ZTKFWvDywCVSASDIVav2cSsX\\u002f9i5qz5zJ23iGXL15pqvtOB2+2y\\u002fNxNfy8dDpXi4lISEnw89vDVnHLSGHvhqYHskZL9MSHEtXtaquses0ePIPkd7ILkco+pqgqvvzmJ6258glAoRGJi05Jc7rc1TScvrwBVVenYIZthQwdw9FGHss8+3e1qrRXHbhK73CBXTkQhBPv360VKcqIdrlsf6WrWr6t4yyKltIGBqii4XE567NWRHnt15Owzx7Fx03b+WbScr7+ZyU8z5rJmzSbKyoIkJvqs8RlNptqHwxo+n4eyQJALLr6XzZt3cO3Vp9vXUA3ZBSYXNOAawzDKhBC37kmFLHZ7iV5pT3498BC1qOvWdxBC8Ojjb3PH3S\\u002fgcrlwONQmc5vJvOzS0jKCwRBJSX5GDB\\u002fEEaMGc8SowWRmptmfNVVvY1eqJ4Bdbnn79hwGDz2LzZt3mJVjDKPRqnt154okb+Q+uLCwhCnfz2LS5OlM++l3cnLycbqc+Lweu9BkU0BRBLpuUFhYwpWXn8yD911u7+XroMbfLIR4YE8h+55AdIdlXT8beI2KTQkrf9Ymw533vMRDj7xBQoLXKhQR++coc9bLygKUlQXYa6+OHHH4YM44bSx9+3a3PyftA5UrxNYF8ntjx1\\u002fBtB\\u002fn4Pf7bD95NIleGTWNedXqDbz\\u002f4RQ++vg7lixdg9vtxOv1IKBJDJ1yPDm5BZxz5jE889QNuJxOe9tWDSKr11wkhHhRzrGYDzaG2K2JHqGujwa+AJzUaHgzQ56FgKuve4ynn\\u002fuA1JSkJirjZErwkpJSwppGr56dOfvMcRw7YaRddhlMlbOxbZWkm\\u002fCRx9\\u002fmltueISUl0QohjS3RIyG3F5Fbim3bcpj89QzefGsyf8xfggASErxNZvR0qCo7c\\u002fI55aQxvPT8LXg87l2R3cDc\\u002fh0rhPhyd9+z77ZEjyB5P8yWvBnUEAwjJ5IBXHv94zz93AekpSbFfJIJYUrxQCBESUkZfffuxvnnTeS0k8fg9\\u002fsA0+ovhGJ3OGkspDvpl1nzGTXmoiaT6NXBMMDAwLDsIQCBQIj3P\\u002fqWN96cxJzf\\u002f8blcuL1upuE8KqqkJNTwHHHjuTVF2\\u002fH7\\u002ffWdg\\u002fkXNoBHCGEmLc7k323JHpEumFb4EdgL2ohuQwoueb6x3n62fdJTU2ySw3HCqqqEA5rFBaW0LVLOy668HhOOXE0rVqlAuWJGvVVzSVqsidIKbVly04OP\\u002fIi1q3bgtvttENHayJ6XTWbOjZgqIJIAyhAUXEpH348heee\\u002f4hF\\u002f67E7\\u002ffhdKoxzwJ0OFR27Mjj5BOP4PVX7sTpdFQpBRYBOadWAMOEEBuM3bQ01W4XAit9nIZhuIE3MUkuA2Iqf9Ym+fU3P8XTz5gkN6O+YjM+WZSisLAYh0PlystPZup3L3LFpSfRqlWq3aFUhpU2FGYkXNWXbMnUpk0GB\\u002fTrTUlJWZ3IKbcXu3o1FPK+gLnIJfi9nHvWeKZ+9xI333gOXo+L\\u002fPyimIfahsMa6ekpfPDRFC685D5CVrZeDYucgjm3ugHvGIbhgfI5uDthd3SvSQv7\\u002fcBhlFtJq0BKkAceeZ0nn3qPFEuSxwqqqhAMhiktDTBixEDuvPUCu5Sx7K1WnU+6vjAMg+Ur1lmZZlXnXDis4XSopKcn43SqlqGx9rmZl1dITm4BqqJgUM2kN0BRFdq3b91oNVC1mkXoukF6WjJ33nYhx44fwf0Pvc4Xk6fjcKh4PW7CMfLBa5pGenoyb73zJUlJCTzx6DURLsuqw8WcY0OBB4UQVxqG4cDcv+822K1Wpoh9+emY0lyqVlWuQ9Ysf\\u002fm1z7jy6ofx+bzyGFEfl1TBCwqKycpK54Zrz+S8cybgdDpsgkdDSklVOycnn4GDT6MgvxDV4aj2mqSUCofDtqehNtX9kssfYNLk6SQk+KoshqaF3MDrdTHlq+dp2zYzavv7yir9u+99zd33vczadZtJsuruxWrvrqoKubmF3H7r+dx283m1hctG9rQ\\u002fWwjx5u62X99tJLq1N9IMs6nCM9bbNZDctPh+PulHrrvxCTwetzxG1MclY9Hz8ooYNfJgHrz\\u002fcvr07orpY65TqeJ6o7S0jOLiEoIhDXUXtobayCgXgOKSUn6Y9hu5eQUUFZdWuU8Cs+eby+WksKgkSldRPj5VFfbicuopRzJ48H7cfufzfPLZNDwel71gRhu6bpCcnMD9D75GdlY6554zoSayy3x2gKcNw1gohPhzd9qv7xZ7dBnDbhiGH3iR8qYKVWaxJNf8v5Zy6RUPgVGuKkYbqqpSWhrAMODuOy\\u002fmk48epU\\u002fvrtY+XDRqT1sdZBzAho3bIloS17yf3nWAjTlHFyxcxs6cfLxeD06n2SIq8uVwOuw665u37LAj5aIJOWZN0+ncqS3vvHkfTz5+HR6Pm6KiUhyO6BeDkdfg9bq54ZanmTptjlU1qFruCsw5lwi8aBhGArtRHvtuQXTK+6DdBQyihn25aXFW2LJlB+ecfye5uQW43c6YBMPI5IlOndrwyYePcON1Z9nnUtVdthRqEHTdjHCbNXsB+QXFdpRXTa+6HA9g5qy\\u002fKCoqtQOHqjuWoggKCouZM2ehle8dO3VaqvMXnDuRyZ8+Sd+9u5ObW1inxau+MKxSYcFgiPMvuoclS9fYpaWrGx7m3BuA2RGmWiNwS0SLH2SEyn4kcDW1WNjBTAq56NL7+efflSQm+qKu8sn9eF5eAaNHDWbKV88xfNgAO3+7MZb02iCPXVoa4ItJP9kFFhoDRVHQDYP585eghTWUXRzQoapM\\u002fmoGRcWlKEr9YujrA5nBp2k6Awb04buvn+PUk8dQUFBkjjvKZNd1Ha\\u002fXw+Yt2znvwrspKCyuiyX+CsMwxlpzs8XzqEUPUOYGG4aRCTxHedSbqPg5cw+pKAr33v8qX33zs53UEU3IyV1YWMIlF53Ah+8+SLu2mZbhL\\u002frSJhJhK9Xy9TcnMWfuPyT6G7+IqarCtq05LPp3JT6fp9aQVE3TSUjwMe\\u002fPxbz+5qSYZ6YJgV18MyUlkddevoNbbjqXkpJSu9RXNKFpGomJCcz5\\u002fW+uv\\u002fFJu39eNWSPnH\\u002fPW3PTaOlkb9GDw8wtN4B7gY7UEBSj6zqqojD5qxk8+cx7JCcnRn0SKooZABMIhnj4gSt54tFr7YiuaLjMaoIsJe10OJj+8x\\u002fcfd\\u002fL+Lxu9BqkaXk+e3l2W21axopV61mxar1tsKwNuq6T4Pdw3wOvMuPnP3A4HHZcQKwg03cBbr\\u002flfF587lYUVSEYDKHGgOwpyYm88dYkXn71swrnrgRZjqodcL81R1v0Xr3FEj3ClTYSOIvyZJUKkMa3FSvXc+31j8ck4EJVzJa\\u002fiqLw0nO3cPmlJ0X0XYvt85WS7dvvZnH6WbcSCATtnPTKpDYwF4VwWCMUChMMhigrC1JaFqzx+L\\u002fM\\u002fJOy0gCaplmkNao9trynDoeDQCDAGefcxg9Tf4uZPaLiPTBPoGk6p596FO+\\u002ffT+JiT5KywJRX2QNw8Dn83L7Xc\\u002fz5\\u002fzFtVWXFZhz8iyjvKJsiy0f3SJXoQhLZgIwB+hFNdJcGoo0Xee4E6\\u002fn2ykzoy7NzVh1s4LK66\\u002fcxZjRg20ffSwhCZeTm8\\u002fDj7zF089\\u002fgBbWcXtcZux6RHCHJKLb7cLlcuJ2OXBZv3usAhCrVm8gEAjh93mY99v7ZGebyTTnXXQP036cg6qqlAWCBAMhAsEgWsS2R6akWu1mURSFsrIgLpeTKy8\\u002fmauvPI201CR7LLFEOGxWBPp19gJOPfMWtm3LxedzR9UWo6oKRUUlHHBAb76Z9AwJCWZeQjXXJufkEuBAoMD6XItLaW2pRK9cKaZaK7sk3LPPf8jV1z9Gakoi4XB0H3ggEMTv9\\u002fHma3dz+GEH2hMt1pABKStWrOPrKTNplZ6Kz+fB6XTg9bhxu114PE7cbjcejwuX02mG1apmDTdVVRCKgtOhEgppnHjqjfwy608y0lP5ffa7dsBMXn4RWjiMphvomo6m62iaqRGUBYIEyoKUBQLWzyBlZUECgQDBoEZpaSnbtuVy5JghHLB\\u002fr5gnyUjIZ\\u002fD73EWcftatbNi4FZ\\u002fPG9UF3uFQ2bkzn+uuOYMH7r3MKkdVrfYi5+aDQoibWmogTYsjujTAAT2B3wEf1RjgpB\\u002f5n39WMHLMRZRZaly0LMGKpa57PG7ee+s+Rgwf1CSSPFa49Y7nuO\\u002f+V+jQsQ2\\u002fzXy7SbLXYgn5LBYsXMaxJ1zLlq078XqjJ9nN+2JWmf3s48cYPmxgTckvMqW1BBgkhPi3JQbStMg9uqX63IOpulcxdJgRXYKysgA33PwUuXkFOJ3OKJJcEA6Hcagqb756NyOGD7JyxWNLcrm\\u002frvgy99o1vkIhgqEwoRpeZWUBQqEw++6zFz6\\u002fKfUE5aWSa\\u002fpeMBQ2j13bua1XKByuMu5YZ6Gpqoqmaey7z168+9Z9pKYkEQgEo2aNl8lQoVCYG299hvz8oppcbuaKYM7Ve6Jy8higRRHdKG+COBqYQC1WdkURvP7mJL6f9htJiQlRU9tk0IimG7z4\\u002fK2MHnWwXSk21lBVM\\u002fus4suMSqvx5TTrrVeOZpMvj8eN0+lgzOhDaNs2k2AgZF9nTd9xOh24nA7z2LWd23o5HY4q445F6G\\u002fV+2WSfdDAvrz+yl14PG7C4XDUyC5divPnL+GxJ98x50btVvjxhmEcYc3hFsWtFqW3WTfHCcwE+lPN3lyqT2vXbmbYyPPIyS2wmwo0FrL4Q2FhCU88di0XnX9cbXuzqEDGmwP8MG0O69Ztwu1y1eg+ayhUVeG+B15j+\\u002fYcFv\\u002f9GS6Xk08\\u002fn2bdu+idRwhTG2rVKpXRhx9seQhi630KaxoOVeWzL37kjLNvw+Vy1rsoZk2Q\\u002fnSHQ2XK18+z\\u002f349a1Lh5Vz9EzgYCLYko1yLSWqJKCZxAibJZd2uSp8z1ar7HnyV9Ru3kpaSFLV0RkVRyM8v4tqrz7BJHvs9uUmCsrIA997\\u002fMj9Pn4c\\u002foh57tCAEphXe48blcjLtp985+9w78Pm9UQ1nldF7vXp2YdCAvcnMTEPXIcou7wpwqCrhsMaEY4azdu0mbrzlaTvzrbEwDAOHQ6WgoJi77n6RTz561NJWqixeKuac3R84QQjxdkvaq7cIokcUk0gArqHcwFEB0gA3ddocPvz4O5KT\\u002fGh6dEiuqip5eYVMGD+cO267AK3mqiMxQVjTcDgc+JP8JPh9US+cKASEQmEwTIvy9BnzcHvcJCZGd1FRFIHDoeLzeWIaSFMZphqvc+Xlp7By9QZefuVTUqMkBGRTx++nzuazL6ZxwnGjrLlYY725aw3D+AwoMVpIi6eWso+QK9\\u002fxwD7UsDeXRrKHHn3TqgyiRGUyqYpCUXEJfft24+nHrzd7l9E0TQXl+PPyiti0ebs5YXXN7toazZdhgOpQ2bYth4ULl4Mg6ueQKcKbt+ygoLBIXmXM76NZn898Xg\\u002fdfwXDhg4kv6AoarYCM\\u002fnFwaOPvU1BYbEVDl3lY3Kv3hdTqtfY0LOp0eyDsKS5bqWg3mC9XSXPXDb7+\\u002fiTH5g5608S\\u002fFULJDQEQghC4TBJiX5efO5WMjPT7GIRTQEZ9PPv4pWsXr0Rlys22XYgQ1i9LFu+jpWrN+C1KqFGE1LV3bp1J38tWGZttaJ6ihoh9+V+n5dnnrqB1tmtCARCUVmwdd3A53Pz18JlvPzKp\\u002fbevRpITt1gzWm9JaSyNjvRMaW5AZxIeZHHSiQ3\\u002fb35BcU8+fT7KFHcNwshKCkp485bL2TAAb131ZQv6pAGwDffmhxz06hZZUbji8nT2bkzD0cN1WkaC0M3cDpV3nx7sm1obCqyy2Sbvbp14OH7r7RV92goZ2Z4rJuXX\\u002f2MzZt3WA0iqpBd5q13B06y5naz86xZBxAhzT3A+dSwNweT6O+89xV\\u002fLViC3+eNijR3OFTyC4o44djDufCCY223XVMhHDYz0r7+5he+\\u002fnYmfp83ZqmfhmHGqefmFfLhx1OsuuaxsRMZGHi9Hn7+5Q8++WyqnYXWVJBut+OPHckF506koKAIRWm8cNB1A4\\u002fHxeq1G3np1U9r0xTkPD7fKmLa7FK9WU8eEep6BPA15s2pEs8OkF9QxLDDzmPFyvW43a5GE0IIQTAYIjs7g5++f4k2bTJrK+gfdYTDOg6Hwuo1Gxkz9jI2bNyK2+PCaMbWw9GEEIJQKER6eipfffEUvXt1abLwYSifN4WFJYwYdQGLl6zC6\\u002fU0enEzrytMenoy0394hfbtszGMag23UjMdK4T4urlDY5tbpZB3\\u002fQpq7Hhq7c3\\u002f+z3\\u002fLl6F1+uOjtQTpqX7njsvok2bzCbblxuGYQXgKKxZu4kTT72Rtes2m9e1h5AczOt0u11s3bqTE0+9kUWLVtj97Zqi\\u002fZUMfEpK8nP\\u002fPZfahSwau1+X17V+\\u002fRbefMfcmtQyHQVwufV7s7rZmo3o1gpnGIYxEBhGtaGuZhhiYWExr73xBU6nIzpWdlWloKCI4yeO5NgJh1n+8tiS3LAaKJjFEFW++\\u002f5Xxoy9jIV\\u002fryAhwVsnF5fcz9f0krnn5qv6OnKqar1qrN1efozazlUXvmiajt\\u002fvYeWqDYydcCWffj7NPoemxZ7wsv7byMMO5MLzj6W0tCxKhjkdv9\\u002fLex98y7btOTXVJJShscMMwzjQmuvNlijREvzoJwMuzDrZFcYjywBP+upnFixcRmKiPyqqVzAYpHVWBrfdfH5EvnGs88rNaqdbtu7giafe4\\u002fU3vyAU0khJTkDT9EoqrbAkhRFRiDHy97r8zUwrNQwDrL8ZGBUsIHaeucBOezX\\u002fL8wsIpvQosIiI79raqvlxDet3hB5EsOApEQ\\u002feXmFnHvBXfz40+9ce\\u002fXpdO7UNkZ3uiLkfZw4\\u002fjBeeOmTqAXRuFxOVq\\u002fexDvvfc01V55mzdUKc0hgzmkncBLwW6NP3Ag0C9GtIALNMIw0YKL1dpXVTijmfuidd7+ssxTZFRRhRm7dfusFdO3aLubRb3JirVmzidfe+II33p7MprXrUb0+FCEoLCy287zlT4uhCCl9VTN2XHWo5u+KgtPpsDuzmBJaNf+uCBwOh52y6pDfVa3vqsJeFMzkEw1NN8xUVc30g4c1Db3ST7MwhVknXtd1QuEwWtj0nYet7xqabqkd2IuF\\u002fKlYnoznn3mHj\\u002f77PaeeNIYLzj+WXj07x+zey9upKIKvp8xsUL\\u002f42o7rdKp8\\u002fN\\u002fvOf+cCSQk+KvLBpQa8wTDMO4WQuxsrgCa5pLossDekZjleKoEFkgC\\u002fjJ7AXN+\\u002fxu\\u002fr\\u002fGGFEVRKC4pY\\u002f9+vbjg3In21iDWEELw04x5LFuxlgnjR5Dg96AoKi6XA6fDgdvjMpNXnA5cbicOhwO3y2kniDgdDlSHWYbZoVqJI04HDlXB6XSiWu85nSbBIz9nvmf9dKh2YUVJ9HA4TDisEwqH0MImgcMhjbCmEQ6FzZ+RnwuFCGsmucMhk+DBUAhN063MtxChsEagLGhm3oXCBAMhwuEwZYEQuq5TUlLKlq07+fqbn+nZo1PMApMiC2pOnzE3qvkKUn1f8Pdyvp86m4njD7ODhSIQWXLqSOBtyud+k6K5iC73K2dSg0tNEvDdD76hpKSMlJSkqLhodF3nmqtOx+\\u002f31tZcL2qQk\\u002fjsM8dx9pnjYnquukAKs8jstT0Vcks0f8FS\\u002fv13lRWWG11hKoC33\\u002f2KieMPq0kzlPP7TMMw3qUpwgSrQZM\\u002f5QiX2r7AQOvtKi41IQRr121mypRZVuvfxpFcVVUKCosYMXQgxxw91A7CiTUMq0Z55J7b+ksVw2LkJDQs02S1I7T21NW\\u002fb\\u002f1S+U81XGr1815uI2r4S7Xvm\\u002f9UOI+oOEq535eQYaSxaqwovSjTZ8wjL6+Q9PSUqPrzNU3H63Xz6+wFLFi4jH332as6F62c2\\u002f2BvYUQC5vD1dacy\\u002flhmMn6VYxwciX+7Isf2b4jNypGOF3XcagOLr\\u002f0JNvNI0TTqO2xtujHUT1k55dvvv0ZbxS2ftXB4XCQl1fAx598x7777IXZ\\u002faaCZJdGuUTMOb8w6oOoA5qc6BEr2QTrZxVprqoqgWCIKd\\u002fNsr7TuHOqqkJhQQkjRgxk5GEHNtneHMy+ZkuXrm3SsNrdCZqm06VzW1JSEolm3rqUrPP\\u002fWsKSJWtwOWMU7msYOJ0Opv34O9dcVUBaalJtRrmJwOPNETjTpESPyDnvQw1qu3RTLFiwlN9+\\u002f4eEhMY1KpBWVsWhcOH5x9qx0LHOM5f7\\u002f0mTp3P6WbeRmpqIFsXClXsCVFUhr6CI++66hOuvPTOqkYnm\\u002fVf5+ptfKCouJdlyY0YbsqlHQoIfj8dV48esnwMNw+gjhFjU1LnqTS3RpRVygnXuKhVk5EI4+asZlJaU4k5JRNMavhILISguLmHggL0ZMWxQk0pzgFWrN6I6VNPvHFfhK0IIHKrKuvWbLVtBdO6PzKDTNI1ffp1PIBAkGAxFvXMPlDfaHD6sPz6vp7YwXw1zzk8AFlHOhSZBkxHdCuqXfaqG1PQ5RVEIhzSmTp2Dy9X4go9CmL29TzvlKLtKaFOo0VJ1W7FifdR7he0pkEE2q1ZviqrrKzLcdfBB+7Fs6RoSY1C1BwAD2rbJ4KgxQwHqIkQOsTigNaVPvSklumyW2BnTAglVfOcmCefM\\u002fZtVazY0muhCCAKBEN26tGf8McPNEzZR0ooQgrJAkH8WLY\\u002foetokp652LPKnvXe0IuUiI+qaGqY9xmwusXNnPunpyRVq6DUGZudVs43TZZecGLO4RwMzCCstLdk6b41nirS+dxRCrLZczE2yX28Oq\\u002fv+QCo1NGUAmP7zH+zYmU9Gq5RGqVuqqpCbV8rYo\\u002f5DWmpSk\\u002fjNoXzBmj9\\u002fCevWb8XldjYJySNj0aG8eoyMdguHwvb9jKzYGhnnLpNBZBhtLGEY4HK52LxlB7PnLOSoMUMsj0vjn5FcLFRVoVV6SqOPFwUIzDmfBvQDVjflyZuS6HLWjKEaT6xc3QOBID\\u002f\\u002fPA9PI\\u002fua22mSaUlMsKR5Uwuu76fOJifHlFTR3h\\u002fa4aV2LLpA0zTKygIEAkEMwOtx4\\u002fG4SUhw065tJt26daBrl3aAYPXqDaxavZH167dQXFJq9mgrDZjZWR4XHrcroiFGbCS\\u002f9LDk55fww9TZHDVmiO1bj6Yq3xQaSz3jAI4APqMJg2eabPNo7dEdwL9ANyqFvUqXxKrVGxh0yOnomr6rFMBaoSiC4pIyDj5wX6ZOeTHqk6cmyElVVFTCkOFns3LlRtzuaDaXKM\\u002f+kgYmM95cIzU1ka5dO9CxfWu6dG1Hn15d6NWzC106tyUhwVclCi4c1igtLWPV6k0sXrKKxYtXsWLlelav2cjyFevJtUppK6qC0+GwQ2yjmWpqlofWSEtL4tcZb5KVlW6\\u002fvwdCzvnlQG9A26P26BFutd5AG+vtKimpQgh+m\\u002fM3RUWlJPg9jZToZmvdY8YNs47fNAEy0qr\\u002f+aSfWLJkDUmNNALJvaZhmPH\\u002fRcUllJUFSUr0kZmRSoeO2fTfvw8D+vehZ4+OtMnOJD09udpj6bphFonEQLUSYhIT\\u002fey7T3f23ae7\\u002fbmcnAI2btrGypXrmfP73\\u002fz620LWrd\\u002fMjh15FBeX4vN58HjcdqKRjP5rCKQfesPGbbz34bdWJljj88ZbKORFtQF6W1FyTeJmayrVXboS9sfspVYlL1QKvOkz5qFrmvWgGzZ5hIBwOExGq1QOGz6wwvFjCSm1CwqKee6FjyzVt\\u002f7HMaPpTMlZWlpGKGR2H0lJTuCgQfuw\\u002fwG96bfvXgzo34f27VpX+b7cl0fC3IuLKiWVzOw13U6eVhWVtLQk0tKS6Lt3N3uhXLV6A3Pn\\u002fcu8P\\u002f7l11\\u002f\\u002fYtHilQSsJBWX24nX6q8u9\\u002ff1gVnMwclrr3\\u002fO6accRatWKU1mT2kG6IAfkwsLaSI3W1MRXV5Iv4j\\u002f2+eW+\\u002fPi4lL+\\u002fmcFitq4Ms6KolBQUMiQQ\\u002frRrWsHO4sp1jB7tau8\\u002f+E3zF+wlJQ6tnAWwnLLGGbVm2AwRElJGV6vh25dO9C3bzdGjTyIQwb3o012Bi6X0\\u002f6ulKayX7tMaa2OJLm5BezcmUdZIEhqahJpacl4Pe4qwUO6bti90mWxii6d29GlcztOOO5wCguLWb1mEz\\u002f+NJeff5nH4qVrWL16I5qu4\\u002fN67BRac2y7nsOGYeD1eFi+Yj0vvvIJt918XpNUoWkGyHBYBZMLb9JE+\\u002fSYE93yFepWkTxJ9Gqj4ZavWMf6DVvwRKkm3KCB++BwqE1Sq8y8BpW1azfzyGNvW6WUa57kkcUaNE23m\\u002fglJvro1bM7I4YPYvDB+7F\\u002fv55ktEqt8N1wOGzZHIQt\\u002fSNjAzRNY\\u002fuOXP5dvJolS1azdOka1m3YytatO9i0aTvFpWVkZaaR3boVrbMz6Nq5Lb16dqFP7y5069Iej9eNopRPDZnSKrdXiYl+9unbnX36dufKy09m3bot\\u002fDl\\u002fMd9P\\u002fY1pP81h8+YdlJSW4fW4rdJf5cUwaoKmaSQk+Hj+xf8ybuxQ9unbfU+V6nIi7m8YhlsIEWgKf3rMxZy8CMMwsjEbxidRKahZEvHTz6Zy4qk3kpqW1KhwUTkhv\\u002f3yWQYO2DvmE8YwQNfN7caZ59zBBx9PIbWGtFpJzFBIsyO2kpMTGNC\\u002fD4cOOYAjxxxCzx6dKxjOTOlKBQkbidy8ApYtW8fyFev4a8FS5v3xLytWrqOkpMzqZx608tSduFwOu0toyOqYqigKPq\\u002fZcz0zM439+\\u002fXkgH696d2rK3vt1YGOHbIrXa9BKBS2qsxUHE9+fiE\\u002fzZjH91NnM3v2QhYvWQWYKbEetwuh1FwRVpb4GjF8EJ\\u002f\\u002f93EcDqWi73\\u002fPgJz7BUAPIcSWPYXo0hB3IDCbajIXZIzznXe\\u002fyD0PvEJ6WsPTCWWpqC6d2zFn1jtWxdjYWtyl3\\u002fz9D7\\u002fl3Avuxp\\u002fgQY8I25X13AzDIBAIUVRcSmpKAr17d+WYscM4bMQg9u7TrYpUNgtWmkSKnOwFBUWsWr2Rn2bMY9avf7FmzUY2bNzGtu25qIqC2+3E4XRE1IUTVaRqZGmoSPU\\u002fHNYIhkIEAiES\\u002fF7at29Nu7ZZDOjfm5EjDqR37y5kZqRVuH5p+Zc+eYmtW3eyYOEyvpj8E9N\\u002f\\u002foO16zYTDIZITPDb12oYeoVtmqoq5BcU8+iDV3HZJSfu1j3pa4HkwCAhxO9NYZBrSqKfB7xMDe2WDMNg3MSrmDptjl0UoiEw\\u002fbKFnHnG0bz03K0xJ7nUFhYsXMaYoy+juLjEbowgpbeUqoqi0KNHR0YfPpjDRgxixNABFQYXDmtWSUEDh6PirmrJ0jXM\\u002fm0h8\\u002f9awu9z\\u002f+HfJasIBcM2wdxul1080yRPwyLxIgtNappOIBgiaI1dUQTt2mYxaODeHHTgvhw4aB\\u002f67dejwvdD4bCVly4qbJfy8oqY8v1MvvzqZ6ZN\\u002f53c3AJURcHn89p1++Q9k1b3z\\u002f\\u002f7OP8Zsv+eSHZpjD5fCPHqnkJ0WWjiGeBSKkXESSIWF5ex34Dj2bYt15qwDdNkHA6V7dtzefWlOzj7zHExnSRyQubkFHDkuMtY+M9yEhN8yIqvgUCI0rIA7dpmMvjg\\u002fTjp+NEcMng\\u002fUlOT7GOY1VDNUtOR4ywtC\\u002fDv4lVMnz6Pb6bMYvmKtWzbnksoGMLn8+B2uyLcW7veAzcEFaV++V69uLgUISAjI5Uundoy+vDBjBx5IH36dMXv89rfl\\u002fv6ysbBVas28NmkH\\u002fnyq5+Zv2AJpSVl+P2mn19a\\u002f8vKAnTs0Jpvv3qe9u2y9rT9uhR2TwshrmiKQhRNKdGnAcOpRHSpti9espqhI861mic2bFhSGjgcKpM\\u002ff4oDB\\u002faNWRKLlJhCwJln385Hn3xHWloKxcWllJSU4fd72LtPN46bOJLDRx5UoQiiGSVnIETF\\u002fW0gGOT33xcx5ftfbeldVFSCy+XA4XTgcjrtNkCNsUqbx2io61JYhDMIhsKEgmadOK\\u002fXw3779eCQg\\u002fbjiNGDGThgb9s7IK3vum5mlcnnGwqFmfHLH3z+xY98M2UmW7bsBCAhwYfDoZKbW8Coww\\u002fm4\\u002fcfso+1h+zXJQd+FEKM2O2JHmGI8wHzgF5UIbq5Uk\\u002f+agann3Vbo0gpCwF269aB7795nsyMtJh1X5ELyG13PM9Dj72J1+OmpKSMDh2yOPywgzl2wmH8Z8j+tlHN9Gube+FIQ5thGMz+bSE\\u002f\\u002fvQ7k76czoqV6ykuLkVVVfx+r723j1YIqmEYBIIh3C5no0kT6TnQdYPi4lLCmkaC30f3bu0Zd\\u002fQwDhs+iEED965wfrMVVUUNZvOWHXzy6Q98+sWP\\u002fD73H3TNLL5YUlLGOWcdw7NP3bgnSXXJgX+B\\u002fkKI0lgb5GJNdCnNOwOzgGwq7dGlxf3xJ9\\u002fh5tuebVTZKFVVyM8v4rARg\\u002fh60jMxmxhy8Xjk8be4\\u002fppHSEpPpVevzpx03CjGjh1Kl87lNcurU18Nw2DZ8rVM\\u002fnIGU77\\u002flQULl5GbV4Df57XDTIGop1Xquo7P5+GkE47gk8+nkpdbiMOhRk3ljxx3MBiipLSMVukp9Nu3J0cdOYSjjvwPnTq2sT+vaTqaruNQVXsxLi0NMHPWfN5650um\\u002fzyP7dtzCQZD3H7r+dx1+0XVVW\\u002fZHSE5sAkYLIRYE+t9eqz96PKJZGJm7US+VwErV28kGApbamXjztizh6kmxyKZQRZ6vP+h17jvgVc55fSjOXbCSMYccYitXkqCygIIEjk5+Xz9zS9M+moGM37+g8LCYoQQeL0eWqWnmLXRrf19LCDdc4MP3o8fps5m5448nM6GRe9Vh8hxu90ufD4PoVCY6b\\u002fMY\\u002frP83jgodcZMWIQY488lCOPOASfz2N3OZFJP16vm5GHHcjIww5k0b8r+fTzaXz2xY\\u002fcfecLhEMa995z6Z5Adjn4NExurCHGQrcpie6mUuirYZRLge3bc1CVxkXEGQaoisJe3TtaZ4\\u002fuvZMRdmvXbiIvr5CZ09+sYHXWdB3dUuml9A6HNf6cv5hPP5\\u002fGl1\\u002f\\u002fzOrVG80+5Qk+EhP99nFjUf2kMmQCicfjwu+XJboaHmpcG8pVdIXEBPM6S8sCfPDRFD77fBpdu7TjiNGHcPIJo9lnn73sBTFSA+rTuyt9enflsotP5LsfZvPm25OZO28RA\\u002fv32RPUeB3wYHIDdnOiS0h9TcNsUWPBXJlLy4Lk5BTgcFTbw6rOMFd6hb32Moke7TsnpUiHDtk8\\u002fMCV9vuyA4gQ2PvvHTvy+PiT75n81Qxm\\u002f7aQ0tIyK2XUZ1a9saztTQszlTU1Jcnq96bF3Bpb0XcvSE0x6wKsWr2Rx598h9ff\\u002fIL\\u002fDDmACccM5+ixQ0nwm1Z76dMHSE1N4sTjR3HCcYeTk1tgHWu3JnlkKGybXXw2Kog10SVrZWhVlUQWIaAgv5CdOflVfMf1PpmVHNG5Y7UJclGDtO5LI1mkev773H\\u002f45LOpfD7pJ9Zv2AqGQUKCD7c70Q5KaS7IBSY5OYHERJ85libWgGUglNvtskt7Tf5yOt9OmcVDj77FicePYszowey7z15IgR2ytnSqqpJuVXLZvTV3oPzOS27ENDKuqYiebv0UVf8syC8oJicnv8GGIRngEQ5rZGWl40\\u002fwWu83eNw1QgakALbVOL+giO9\\u002fmM37H3zLr78tYOfOfBISvCRGSO\\u002fGFLiMJqTdoFV62q4\\u002fHONxaJqp0aVYUn716g3cevuzPPv8h4wccSBnnjGWgwbtg9ttVleVngtFUfckossHsfsSPcKKmFrd3+WVFReXkJdXaAbK7PqYFQI5wFzxw2EzMaRrl\\u002fZ4ve7oXEC15y9XGzdt2s4HH0\\u002fhg4+m8M+ilWAY+Hwe0tOTm0k1rxt0XSczKw2hiKgZ4hoKk\\u002fCmlHe5nHi9boqLS\\u002fng4yl8+vlUDjpwHyaOH8H4ccPJzEyzvyOTevYA7P5Ej0D1Et26NFnGyO122tU7y18RBRMM2RjQbPong2vSUpPJzm5F924dGD1qcIXorGhCbjUW\\u002fr2MN96azFdf\\u002f8LadZtwuZy29Nb1pjGsNRwmuVtnplXf1qkZIZ+vw6GSnOjHwOCXmfOZ\\u002fvMfPPn0+0wYP5xTThpD715dmnuo0UAFiR7rpJamSFNVKCd6tSgqLgEBquoAwoRCGqFQiGAwjKZpuFxO3G4XLreTtDQ\\u002fXTq1pUuXdnTr1p5OHdvQJjuDNm0yaNsms0IwSjRXfGnlvf6mp3jkodcASExNIj09xS700JwVVesKWREmKzPdjnBraTAMA81yoSUl+VGEwuatO7j\\u002fgdd49PG3OfKIITzy0FV07dIuZgFRTYj0poh1jxnRIyJ9VMy+UzVi+\\u002fZcQsXF5AoFw9DJzEwju3V72rTJpGOH1nTt0p6uXdrRtWt72rfLwut11+haiZXbRR5z8MH7Er76DBYvXcVfC5axY0eu1Y\\u002fcaoNsxek3pNJKU8EwDFN1b0RNvlghsrqOWYDD7M2uKAr9+vVk7z5d6dmjMz6fp7mHGi0kYXJEj2V0XFOo7goge9VUWHrlSty2bRY33HwB\\u002ffbrSYf2WaSlpZCelkyrVik1HjSSTJH79lj7VseNHcq4sUMpCwRZuXI98\\u002f9ayrQf5\\u002fDHn\\u002f+yZetOduzIw+FQ8fk8ljVe2ONtKcQ3DIPWWenQAlxUssS01IaCgSDFJWV4vW4yM9Pp3q0dw4YO5OAD96V7tw5kZ7eq8v3dFHLgLqrJ5ozVyaKOiDh3D2bVy3Y0oIue3O9G7tnl\\u002f5sDkckZkSgpLWPu3EX8Pm8R8+YtYs7v\\u002f7Bt+04zeUSYpZedTmedyyvFAjLgZ\\u002frU18jKSqNHn\\u002fHWAtm0kl0Igaoo6IZBWVmAYNAsfuF0OtirewcOGdyPAwf25aCD9q1S9ELe\\u002f8o5+rshJBfWA91jXWmmKSS6oFyiV4vIsM9dSWg5IZtPOpbnakcWcfB5PRz6nwM49D8HoOs6W7bs5K+FS\\u002fjm21n8tWApq9dsYtPm7bhcDhL8vmYauzl+Tddxu1ykpSXZW4+m2qubhUFCFBYW43a76Nghm969u\\u002fCfQw5g6NAD6NihDWmV0njN+2zYi71iRVC2FA2pNsh5XAuaRKI3tepeLSoXKdg9UPPDUxSFNm1MA+GY0WabuSVLVjNv\\u002fmJ++GE2U77\\u002f1S7F1BzQdR2v1016WjJbt+7E6WwaiS6E2VSjd++uTBw\\u002fnP379aJvn26226w6\\u002fB+0m3azhxAdami9FNnD+p33vsbna1wt95aD8rRSAwOHquL1unG5XKSmJqOqKsFg2E5BbfLRWamyaWmyg0xs4t0rwyzDrZOSnIAQgrnzFjFz1nxKSwP232XXmd0diiIoKwswfOhAxhxxSG2JOE0i4ZqC6AYQqvYPhrlNWbZsLU88+iruhOoLKu7uMAzQrdpoToeDhARvs5EcsG0EaWnJZrx7E\\u002fFK1w28XjczZ83n+x9m2w0KhdLSPPqNh6qqBIrMyr67IHqIJlhlm4LoOhCs7QMJiT7cCUmkpibvMUSPjN6rmHYauzTUuo5Lak1paUlmgFIT0swwDDweN76IoKby5o46GC3Rs189hP0PCCKMxcK8ozswqrTBqgYB9qAGDrUS3elwENY0q\\u002fLp7k10uWprmlnOWTcMEvy+FmQ4ErZET09LQdf0Js8QiQx7VRRBcXGQYCiEx+22S021nPtlonLotWEYaHp5iSxNMyM2Q+EwWlgjKSmBlJREu51yLQiwB0n0alV3CZfLGdVLlWRr6skihFkFNRzSSEryM+zQASQm+vj082l4ve4WZ39IT0tGcSh2kk5TQ1UUiktKGThgb7p17cBPM35n+\\u002fY8NE3H42l8E4\\u002f6Qs4bESGq5e\\u002fmwh2y6+GrqoLH48btcuLzuWiTnUm3bu3p2rkdXbq0o127TLKzM2z3YC3xHXuU6l5q\\u002fV6tH93jcaFGKRxTNhdQVdXuNwblPcFiNXmEgFBIo337LG664WwOOagfHTq0priklLXrtjDn94UkJjau4WK00aqV2ZKpOaSnEIJgKExKShLPP3szvXp0ZmdOPnPn\\u002fcsrr33KlO9m4fM1vOz3rs8fGZsh7Dh7M9NQs\\u002fMrdMPA0A1SUhLp2qU9bbJbkd0mg47ts01id2lP1y5tSUpKxOWqF50kF0rZnVX3CMe\\u002fBuRU\\u002fyHzh9fnxZ\\u002fgtRNaGjrxDMPA5XKSlpZMcXEJ+fnFlJaUoTrKu5Q4nQ5r5S4Pvon0yTZm0iuKQmFhCfvv14uOHbMJh81CiY8\\u002feg1HHHWJnVfd3FqplFzpaSl4PG67UURTEl5apR97+Cp69ehMOKyRnpbM6MMP4pnnPiAasVyR6jZIF6LpEdF0nVAwaHercTmdJCX5SUlJJCnRT1ZWK7p1bUfPvTrTs1cnslu3Ij09hVbpKbXuu+UCUXkhqQW5mByJaWJLzCW6FR0niV7hQuTl+7xuEhP9FBQUo6oNL\\u002fUcCoXo3Lkt77xxL\\u002fkFRaxatYENG7aybv0W1q3fwuo1G9mwYRuhUCiihTA4HSoOq\\u002f+3mRMfGbJat0YIhmFWl9myZQcXXnwvX016Gp\\u002fPSzissf9+Pbn5xnO57obHSU1NJNyIdlPRgJx3aWnJeDwuiotLa\\u002f9ClKGqZinnE44fxTlnja9g+b\\u002frnpeY8t0s0tPr160nMnJSCotQyMpyDIXtenmm4c\\u002fsTNu5d1fatc+ia+d2dO7Ulk6d2tCpYxs6dsiuNa5DtsiquJCYv1fXsbYGyFmVE+vMNYgx0SNC+qqX6BbVfR43iQk+cnNlOamGnU9VVbZtyyEjI5Xevbpw0KB97L+FQmEKCorZuTOPFSvXsXzFepYsW8O6dWbf7505+WzfkcvOnCJUVcXpMEnvcKhW++NdD0rTNFKSE\\u002fl1zkIef+o97rj1fKtdkcFlF5\\u002fIr7P\\u002f4rMvfqyxL1uTQUr09BQ8HheFhcVN1glFVRVKSsro2aMTD9x7mb2gOhwOfpn5J089+z7JyQnoet3uj7TWmzUJyontdDpolZ5KWloGGRmpdOiQTY+9OtK9Wwf26t6RjIxUkhL9JCRUH6VY3ummvH6\\u002fJHOU79VO63wxLffcFMUhI4leUaLbqrsHvyxt1MDgDbOgoEpefhE7d+aTnpZMOKxbK6wZR52enkx6erJdU06ioKCYLVt2sGHTNtav38KKlevt16ZN2ykqKqlz9xhN00hK9PPkU+8y7ND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uxAS0WFTfFaBrOpM\\u002ff4ojjzjE3sZUAznX5wohciwuNFmF0CZ3SloBAt9Z\\u002f62if0pX2LhxwyKqbzYcsrHfN1NmsWz5OtsWEG1Iqdu+fWuuufpU8nMLCIXCdouhukLTdFKSEvhpxjzuue+VCjn10u02bGh\\u002fHr7\\u002fCkpLGxdYJL\\u002fp93lITvLXeF9UVSEvv5Djjh3JLTeeYxncyotoqIrCZ19M4+nnPiQ5qf6S3CSGwbYtOxh1+GCOm3CYHS3YGKiqgiIEnsQEUlOSSE1NjPqrVbrpsfhmysxdDsf6+V1TBclEoqmJrltWxq8wXQxVKl\\u002fK6psDDuhNjx4dKS0NNNoo53K52LR5G+9\\u002f+E1MXTRSIp179gSee+ZmMlqlkJNTYKu4dT13OKyRnJTAM89\\u002fwKSvZtgEN89hhsqee84Ezj5zHPn5hY3erzudKpmZadVmsCmKQklxGX37dOOpx6+3noX5jOS+fPmKdVx3wxOo9VjUhBDW3laQX1CMYcAll5zEKy\\u002feZnZXFQ1f5E1viOmOG3X4wbaBLxaGuHA4hNPp4Pff\\u002fyEnJ9+yV1TRiKQamQN8bXGgSUsANynRI9xsOym3vlcJh9U0nYyMVIYPHdjocFgwrdoJfi\\u002fvvPs1GzdtQ4jGV56pDrKkkdvl5OILj2fady9z7dWn4\\u002fN5yMurn4QXwiTZdTc+wbr1W+29sBACRVVst9v++\\u002feiqKh+IbiVoaoqmRlpVTLYZMSi2+Pi6Seup1V6iu3qkup9KBTmuhufNINi6hD\\u002fIITA4VDRdYP8wmKCwRDjxh7KpE+f4NmnbqRVeor9ucZAqvyjDz+43s0g6gMhzIU3IyPVKuFdrb9f3pRvra1rk7nVJJojnlC1VJfJ1GCMkPfppOMPJyHBF5WH5HI5Wb9hC6+8+hlCxL4Bo6bpdOjQmgfuvYyffniVyy45iYxWKezcmUcgGLTzs2syDOq6gdfjZs3qTVx34xMRFU3NYBRZoeaRB6+yGjg2LJ9c3odWGSlVjqEogqLiEi675CQGH7yfbROQ41MUhaefe5+vv\\u002fnFjpevDpHXGg6H2bnTlHzjjx7GF588wcfvP8whg\\u002ftZRSOj81wk2dq2zeSgA\\u002feltCwYE6+LjHCccMwwvF43hlHjczCAydbcb\\u002fJSQs1BdKm+zwA2YV50JaluDmvgwL70P6B3o9V3MB+I1+vh7Xe\\u002fYu26zbaaHSuoankZ6b26d+Cxh6\\u002fm+29e4IF7L6dXj84EAkFycvMpCwSrlCGWMCvJJjBp8k988PF39jHl8XVdZ8jgfpxx+lizvFUD7pE8npToMuBHURSKS8rot28Prr3qtAp7Zqmy\\u002f7NoJY889jYJCV60iHtZXlpbsd2EuXkFFBeXkpGRyhWXncSXXzzFh+89yPBhA+xjSq9DtCAXnjGjDyHcyDoH1UEIs4pOdnYG444eBlBdOyYdc45vBH5uDrUdmoHoEdb3LZQHDlRZxqUv+oTjRhEMNS5KDkwJ5PE42bBxK088\\u002fV6ThFPKya5pOmFNo0uXdlx3zRn8\\u002fOPrfPDOA5xz1jF07tiG\\u002fPwiCguLKSkpIxwOo1jqrZmrDi63k\\u002fseeIXNW3ZWsbIbhsFVl59Khw6tKWtANKE8VGZGGpquVXBIGLrB9dedabUtilRJzY4rt935PHl5hbhcLlsll\\u002faEsrIgRUUl5OTkk5yUwIRxw3nqieuZ\\u002ffPbPPbwNRw4sC+6rhMOa1aGYfSnohzv4IP3o0OH7KhsAyNhRgiWMn7cMDJapVpqe5WPyYf1vRBiizX3m5zoTelHj4S8+NeBs6lmwZFdR8eMPoS9undk\\u002ffr6VSWpDppmkJDg4\\u002f0PvuWMU8fSb78eaJbVOJaQ7pZwOAyYZbOOOvI\\u002fHHXkf9i0eTsLFi7lx5\\u002fmMnPWX2zctI2cnHyKi0txuZy4XE68XjcrV67nuRc+5N67Linfq1uLSPt2WZx0whE89MgbuN2J1N09K+zItVatUmxprlr5\\u002fIMP2pejjvhPhX2ndB998tmPTPluFomJfkpLywiFwgQCQZxOB2lpyXRon8oB+\\u002ffisBEHMuCAPnTv3sE+q2xL7HQ6op5CHAmZtditazv26bsX306ZidvtRNMavz2QBr60tCROOmE0ILWjKkyX\\u002fcBft\\u002f7fpHtzieYm+jxgNnAwZutYW++RhqDs7FZMPGY4Dz36Fl5vrQEJuz6pFdyQn1\\u002fEvfe\\u002fwscfPEQsg5MkIVev2UiH9tk4HObtNqWYgVAEbbIzaJOdwRGjDgHg38WrWPj3chYtXsWK5etYs2Yja9ZtxuFQefnVTznlpDH06tk5QtU1z3P2GeN4\\u002fc1JlJTUvWhlJFJSEvH5veVGSgEnnjjaIoZmRbkZdiGIBx9+jVAoDBh07tyWzp3a0rVLO3r36szefbqzT99ueL0e+\\u002fi6rhPW9AhtxdyarFixjr26d4pZLLusbjN+3DC+\\u002f2G2VQiz8VCEoLCklKOOGGKl0BrV+c\\u002flnP4VmCuHFJUB1BPNQnTL+u4QQgQNw\\u002fgYk+jVfQ6As84cx+tvTaK0NBAFC7xOcrKfb6bM5ONPfuCkE0bHLM9ZEn32bws57YxbOe\\u002fciYwYNoB27cqb\\u002fmmaZktJVVXp3asLvXt1sf9eUFBMQWExO3bmsmLF+go12KBc5e3cuS1DBvdj0pfTreqqda\\u002fHBpCSnEhigo9AIIhhmBltRx0xpMI5JMrKyrj+2rPo3KktWVlpJCUlkJTorxKDX\\u002fnaXNZx1q\\u002ffwrSf5vLCy\\u002f\\u002flxOMOp8denW0XZLQh3XTt2mWZ0X1ROq6BgUN1cO7ZE6yowVqj+P5rzXWHVRG5ydFsKUGGYSjWfr01ZoXYDCpFykG5keaSyx\\u002fgpVc+JT09ud4BGZVh1iAL0rFDNlOnvEhWVjoQu8olxcVlDDrkNBb9vZxefbpy+MgDOeqI\\u002f3DwQfvg83ntz2majmGUJ0g4nXVbh6U1\\u002fKVXPuXiy+4nIyO12nskO85+++Wz9D+gtyW9TSPb8uXrGDPuUnbsyCMYDHP4yAP5\\u002fL+PVz1ZLTDLYul2lFskcQsLi5n56198O2UWP0ydzZJla2nfLos\\u002ffnufjIzUmKShSi9FaUkZYydcwe9zF+HzuRvtWlVVhYKiEg4d3I+vJz9rp\\u002fhWGr+cyzuAfYQQm+Wcb9TJG4jmUt2lUU6xDBRvA9dQjVojJ\\u002f05Z43nv5\\u002f+YCenNMYNY0bLeVi2fC133\\u002fcKzz9zU4PDLXd9Lh2\\u002f38MlF53AVdc+wpbNO3juhY95860vad8+i5EjDmTEsIEMHLA3GRmpVDZXmOqx5XKMCDKJhFRPO3XMtnL563NvzGMlpyTg9\\u002fvYti2XcDhMH0urqImAstWwfA6yl3yk52jT5u3MnbeIaT\\u002f+ztRpv7Fx03ZKSspITPThcjo475yJZGSkxlCjMrPpnnr2fWbOmk9qalKjE6XM4xoowLlnj7fKf1WrjciH8E5zkxyakeiV8CpwPpBApWB0GWm0f7+ejB83nDfemmTlODduVdY0jeTkBN5+50sOH3kQxxw9tLY45QZD5sFPGDeM557\\u002fkPUbtpKelkwoFGbtus088+wHvPjyJ+zVvQM9e3Zi8MH7MWTw\\u002frRv15r09KQ6SXVJRJ\\u002ffZ1d5qWv+veSwqbqbfcl13SApORGw4tirIXp1anZOTj7rN2xlxs9\\u002f8Mus+SxesoqVKzcQDofx+bw4HCrp6UkEAiHatMng5BNHxyyeQRbvmDtvEU8+8x5JSXXv1FobFEVQUlLGwAF7M27sMFtLqgQDc8UuBF5p9EmjgGYleoRUX2IYxpfAyVQyyoGMfxdcevGJTJr8E8FQ2LbKN3oMiuDGW55iQP\\u002fetG2TGXXpIo2KWVnpHDvhMO5\\u002f6HXcbicALqcTT5obwzBYsXI9i5esZtKXM3A4HHTs0Jq+e3ejV88udO7Uhi5d2tG5Y1vS0pPxuF0VziHJEg6HCYXCVsZf3cen6zoul5MEv88uIBEMhMy\\u002fV\\u002fOdcDhMYWEJ69ZvYemytaxcuZ5\\u002fF69iwcJlrFm7iVA4jK6Zx0xM8IF1DjOuwKCkpIxTTz6Srl3axWRxlVpIXl4hV17zCCUlZfj90Qm8kvUCr7jsFFxup+m1qT4STgW+EkIsbm5pDi1HogM8B5xINa42mbnVd+9uTJw4kpdf\\u002fZTUeqaBVgepwq9evZErrn6UD999AGGFd0ZzvyiPdcrJY3jx5U\\u002fsJhWypDOA1+vB58NWhzds2MrKVRv47ydTbTebx+Pi7jsu4vxzJ1ZZkAzDYPWajRQVldS4R68JcqFIS0+2PBMOlq1Ya429\\u002fBzynJO\\u002fmsE11z9OQYEZwlpaGsDpdOBym+N0u122N0CrZBTUdQO328UpJ42xs8yiDWkBv+3O55k7b1G9U4ZrgnQ7Hvqf\\u002fRlzxCFmEFH1FyBdas81+qRRQrOX1IyQ6r9ihsUKqokckmS56rKTaZ3Vql6NE2qDVOEnfzWdx596FzXqFWPL+7Z17dKe0aMOprCwxI55j6xnJ7P1ZESZqig4nQ7cbifdu7Xnofuv4Owzj7Fz18uPb+7bv\\u002fl2ZgP26CDldlZWOgYGbreTmTPns317rqVNGfZ5DMPgmHHDefrx69mnb3ecDgcul8M0vinl\\u002fcgNq5uKjPaTYbAlJWUMHLg3+\\u002ffrab8fTchCGO++\\u002fzWvvv45yckJUYtzNwwDh1PlmitPx23VSaghrl0Ak4UQs1qCNIcWQHQL8m49BASs3yvMVhmy2q1bBy46\\u002f1grkSM6k0TTdBITfNz3wKt8\\u002fe0vdunlaEImg4wbOxSPx2VnP0mJWFxcSmFhMXn5ReTmFuD1uhk0sC8XXXAcH773EL\\u002f+\\u002fBZnnDa2SlJM2KpCM33GPKZOm4Pf72nwQpWVkYZA4HI52bh5Oy+89F8ryaicKEIIFCEYe9Sh\\u002fPTDK0z6\\u002fEkuv\\u002fRkhgzen6REP3l5heTlmZF+RcUllJSUEQgECYfDGIZOKBRm3FFDcbmcjWqoWR1kKat5f\\u002fzLDTc\\u002fbdUyiM6xzX7uxUw4ejgjDzuwJr+5PFsAcy5DC+kd1SJUdyGEZhiGAswBJgHHU81eHcxV9aILjuO\\u002fn\\u002f7AipXrGx0tJ2FKyDCXXvEQHTu0Ye8+XaO6f5QGm8MOO5COHduwatUG0lKT8Hjd+P1eWmem07lzW\\u002fbaqyO9e3ahU6c2dOiQjS8iSChyPIZhSi+HQ2Xz5h1cd9NTaJqGy+Wot4FLci0zK93es\\u002ft9Hp5+7gMOPmg\\u002fDhsxkHBYs+PxI8cyZHA\\u002fhgzuRygUZs3aTaxdt5nFi1ezfMU61qzdxJYtOygsKqGsLEBBQTEd2rdm7FGHWvckenJGxt+v37CV8y68m\\u002fz8QnxRKEcGVhRcWKNVegrXXnOGdX+rjYKTe\\u002fMvgd8sad5kxSVqQ4tYbaCCX31\\u002fzGg5B+b4KoxRTrAPP57CGWffbqlm0ZG+sl7Zvvv2ZNKnT5AZZf+uPNYvM+eTm5tPdnYGrbPSyW6TgaOGYBGTYMJW1aVBS6rE69Zv4ezz7mTWr3+RmOCrsieufP7KfnSpKSmKwjdTZnL8Sdfj8bgRAgKBEEmJfl59+Q5GH36wPR7ZL860J5hW+toKVubmFbB1aw7btu1ECIUhh\\u002fRrxF2s\\u002frqEgJKSAMeddD0\\u002fTPut1my6+sJsUlHALTedw523XViTwVayPwwcLIT4o6Wo7dCCiA4VyP4ycB41WuDN1wmn3MBXX\\u002f9iuU6i91BzcwsYPWow\\u002f\\u002f3gYbvGfLQs8TVVzSlvMmHYn5ELjAz8kAST7332xY\\u002fcde+LrFy5wcwg28WCtyui\\u002f\\u002fnnYv5z2Dl43G7bDhAMhlBVhauvOJULLzjOzheH8uywcoOdEXF9otLPiuOI5uJpGAYGcNGl9\\u002fHGW5MbVMqqJpiNJMro3bszP3zzIklJCRWeTQTkXH1NCHFuSyI5tJw9emXcA+zEHF+FmyVvsKqq3HvnJbRqlRI1wxyYEis1NYlvpsziokvvt33S0SpUIYRZtDIc1giHNSvBQ7fVQal1S+KbRizF3psXFBTz309\\u002fYPxxV3PG2bexZs0m\\u002fP5dk3wXowIgPT0Zp7O8GKeu6zidDoQQ3H3fy4waczFPPP0eGzaYvQFVVbXzzCOLURiGGSJqXoOsxCKvt2Gtn6qDJLmiKNxw01O8+dZkUlOiR3IwrYpCCO645QJSUsyEoRoMcApmBZm7o3TyqKJFSXQAWTTPMIzrgIepYa8updBTz77PdTc8YQXRRG8BNdsNFXDBuRN5+okbbKnUFOmtkcjJKWDVmg0sX76O2b8t4Idpv7FhwzZCoTCJiT6g7t1ia5LoUsJu25bDQf85k507c6067+ZxTU+ASnFJKVpYp1WrZA4Z3I9hQwfQc69OdO3annZtM2N2D2q6Fknyu+99ifsefN3qFhO9OSBV9vPOGc\\u002fzz9xcW6ajnKM3CiEeaurCj3VBSyS63Jf7gN+A3pQbOSI\\u002fZxqkwhpHjb+cn3\\u002f5w2r9E02yK+TlFXLZJSfx2MNXo5uiKirW\\u002fry8Qv7+ZwVCmFpEYVEJ+XmF7MzNZ9vWHDZt3mGlrOaxafMOtm7diaoqeL0eK71T1Ptad0X0\\u002fPxiDh9zIf8uXoXHU9VNJ7cv4XCYsrIgZYEgKcmJtGubSav0FFq3bkXbNhlkZqWTlpqIx+PB5\\u002fOQ4PfhcKh06tSGLp3bNlp1l3YKVVV45LG3zE6tCWYQQrQi7RRFoawsQKeObfj+2xdonZVuhrtVr7IrmGXMDwaKAKOpS0XtCi3C6h4JK7NNEUIUGYZxE6ZvvbrPYRgGTpeDxx6+hlFHXkxxcWm9e4jVBjPTLZFnnvuAYDDEU49fZ\\u002fuSGzpRJbkKCoqZcMI1lJWa3kQ9wvZg6OUT1uFw4HI5adUqxZ7gZqBN9OeR1+uy6qvJSjMVzyGlpaoqJCT4SEryEw5rrFm7ieUr1lUwEgohQIDA3HoEgiGeffIGupwzwQ5PbQgiK+zcff8rPPjQa\\u002fj9nqiSXM4tXTfr8mW3brUrO40AbhVCFDRXYYldoUXu0S3VXRVCfAm8gynNq6hCUqrt3acrd99xEaVljU9jrQxd10lJSeSlVz7hwkvuIxgM2S6ohkBqA+3aZ9GtS3uKi0vxeFwk+L0kJfpJ8PtITPSTnJxAcnICPp8HVVXs\\u002fW2sYsPBrKuXnpZMWNNq1fUMA7s6jBACj8dFUpKflJQEEhP9JCT4SEz0kZTot7LFdByqalvbI6Pt6gN5zwVw863PcN8Dr1rZf9Htq2fm3Bdx8YXHM\\u002faoQ2sjuVTZ3xNCfNGS3GmV0SKJbsGw1PgbMOttVRsxJ6usnHnG0Zx0\\u002fKio9iaT0DST7G+8PZlTz7iF3NwC87wNJLthmKGT991zKUePHYrT4SA\\u002fv4i8vELbVWTohpVgEltyAxUWLrNhYt0DWaTkk8UrzeNBcXEpO3fmo2k6fXp35Z47L6Z7tw7Wvrr+i7EkWziscdlVD\\u002fPok++QZNkoonl\\u002fHKpKQUExAwfuze23nFeb9iYd6ZuBG41mqNVeH7Q41V0iorbcZsMwbgHepNrQ2PJorQfvu4IFC5ezbPmaKFiiK0LTdNJSk\\u002fh80o\\u002fszCngzVfvpH371g0qmCAnzvChAxg+dADLV6zj80k\\u002fMW3ab8yZu4jiklLcLhdut9NKg4w92U21G9LTU9Dr3YDB3C4FAkGCwRAI2LtPN4Yd2p9xY4cyaGDfOufWVwd5j7dtz+WiS+5j8tczSE1JtBbBBh+2CoQQBIIh0lKTeO6pm0hM9NcmzWWG2q1CiA0t0QAXiRa9CoFphcck+H+BiezCCv\\u002fbbwsZd+xVBIPhClVTowVZiqpb1\\u002fY8+9SNDD20v+0yqq+kqjyJQqEwfy1Yytff\\u002fsLX3\\u002fzCshXrKCoqITHBh9PpRIhyn3pDUJMxDkyDoMOh8vyLH3P5lQ+RVkst9MgYdU0zDYlOh4P27bI4+KB9OXbiYQwa2LeCz70hsQimtmDu5\\u002f9dvIpzL7ybeVFMUomEAITV++21l27npBOPqG0Rl3PwS2Cc9fUWZ4CLxO5AdBlE0xYzYq491VSigfKoudffmsTFl95PYqKvQnGEaEEmZ\\u002fj9Hh6+\\u002fwrOOP1ooGGTGcpb+0ZuOcoCAaZOm8MPU+cw5ftZrFu3Bd0w8LhdtkW8vnaC2oiuhTVUh8pH\\u002f\\u002f2Oc86\\u002fy6xRrhsVzHHSpx8KhSkpLQMD0tKSGTa0P6NHHsyoUQeTmZFmf75yVF99EHkvP5\\u002f0E9dc\\u002fzhbtuwgIdEbkx5qqqqSk5PHddecyQP3Xlbbs5RzbzMw0JLmLSo4pjq0eKJDBd\\u002f6WOBz622zN1AlSLJfe\\u002f0TPPnMu6Snp0QxgKIcqqIQstxM550zgXvuuphkq7hB5frsdUXlTDGJbdtzmT5jHp99MY3f5\\u002f7DunVbcLuduD1uHKpiG8fqcvwaiW7dt6k\\u002fzuHEk28wN6ARdel0XSMYDFNUXEpmq1T2268HR44ZwlFjhtC5U1v7HLpuYFhBJTV1Zq11jJhNC1XVdG\\u002fd+8CrPPn0e6iqahWqjD6fzGjIQsYdPZT3377fjkCs5hkamNJcAMcJIT5v6Sq7xG5BdADDKqxnGMYTwJWYMcVVNn4yjDQYDHPGWbfx2aRppKYmEo6BFJATIb+giEED9ubRh6\\u002fmwIF9gYZL90hIo1jkcZYtW8tPM+by6efT+HP+EgoKinA4HPj9Zu05oxY3U21El+Od\\u002f9dSxo6\\u002fgpKSMpxOB4FAkOLiUrxeN927dWD8McM5\\u002fLADGThg7wrHjoyBbyhkFKIQgkWLVnL9zU\\u002fy\\u002fdQ5JCf57W1LtGHWZi9m33168NWkp0lPS67NACfn3NNCiCuMZiz2WF\\u002fsTkSXgTQe4AfM4IRqVXg5aXfsyGPiCdcyZ+4\\u002fJCf6TbdRDOBQVQqLiklK9HPVladxxaUn4fG4GyXdIxEZzy0js3Rd568FS\\u002fnsix\\u002f5acY85v+1BF3TcbtdNXodaiO6nNzr12\\u002fh0BHnsmHjVgygXdtMRgwbxPhxwxg+fKDdAzwyuaa6ePb6Xp8MgNF1g1de+5T7HnyNbdtzSEpMiJnnQVVVSkvLyMpKZ\\u002fJnT9K7V5e6uNLmACOAUlr4vjwSuw3RocJ+vRtmS6dsyq2fFSAf2MqV6xk7\\u002fkrWrttsWeJjQ3bp6y4qKmH40IHcdfuFDBpkSvdoER6wLc2RKZ4FhcXMmfM3H348hZ9mzCMvr7Dac9WF6CUlpRwy7GySkxI447SxDDlkf7p2aVfr+RuKSIIDLF26mlvveJ7JX\\u002f2Mz+fG6XTERFUHc\\u002fzBYAivx8MnHz1i9Zartbe5ALYAw4QQS3eHfXkkdiuiQ4X9+lHAF5Snsta4X\\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\\u002f\\u002fyjHHXs3Jp9\\u002fEP4tWkJqSZAcHxQqyLFY4HOa5p2\\u002fixONH2eWnakAYc269JYS415pzu4XxrTJ2S6JbkCGylwPfYVpDayC7SljTGHpofz54534S\\u002fD5KS4MxJbtZ6sk0jiUnJTDr1wWceuYtHDnuMr7+9pcKhSRk08FowO\\u002f30LFDNsFQuMEGsmjV4tMtTUN6DoQwa9tNPOFaTjj5Br7\\u002fYTY+n9faTkVHy6kJUpKHQxrPPnUjp51ypBk7UPMc0DDn1A\\u002fAxdZc2y0Mb9VhtyW6ZQgRQohS4FTgL8wHU61a5bAKPg4fNpAP33+QtLQkSkoDNZZwihYi1XmP28X06fM48ZQbOWz0Rbz1zpfk5xfZxRt03SyP3JCEGblgCCHo2D6bUDD6\\u002fcDrgvJrMOyGikVFJUyaPJ2xE67gmGOv5utvfsHpdNj547Fwm0VCVcwgH8MweOHZmznjtLGmJK85J0Ja2P8BThVClGDOtd3G+FYZLTbWvS6IiIffYRjGccBUoCM1hMlKy\\u002fh\\u002fDtmfTz96lBNPu5FNG7eTkBCt4v41Q6qkCQk+DMPg19l\\u002fMevX+Tzz\\u002fIdMOGYExxw91GquKCp8vj7WeikRO3TIRnU4ohoHvqvzyj5uphpsjnfV6o189fUMPvz4O+b\\u002ftRQAn89DUpLfqoIb+wHKwBu3280rL97GMUcP25VRVM6d9cAEIcS23dH4Vhm7ndW9OkRY4vsB3wJZ1EB2KE+SWLBwGWedewf\\u002fLl5FcnJCTCLoqoOZiKMggNKyAKWlAVq3bsXgg\\u002ffjuIkjGTRwb9pHdFw1x6wjGyLWRHw5gad8\\u002fyunnHazmQ8uyvvX1cXqXhfIPTdWrnkktm3LYc7cf\\u002fjgoyn8OnsBmzZtw+l04vN57O\\u002fGOkFHQmoTGa1Sef2VOxg+bFBdDW85wGghxNw9geSwhxAdKkTODQC+poburBLygW\\u002fcuI1zL7ibqT\\u002f+RmpqUqOSRhoCRREoQiEQDBIIhNA0ja5d2zNkcD+GHtqf4cMG0DqrVYXvSF925eKLsrTS4iWrOOKoS8nLL6xQEqo+RJcRhpG\\u002fy9tSmdw7duTx4\\u002fS5TJ8+l99+\\u002f5t\\u002fF68CgZ2BV9cQ3WjC4VDJyy+iV4\\u002fOvPXa3ey77171IfnRwmy+sEeQHPYgokMFsg\\u002fBrEyTQi2SXbqOCouKufyqh3nn3a9ISUkyE9+bkOxQnhEmBJSVBSkpKcPrdZOamsSA\\u002fn34zyH96Nt3L\\u002fr06mK3ea4MqUIXFZdw0CFnsH7DFquJQd2IbtoTNLurSk3YsSOPRf+u5J9FK5g1+y9m\\u002f\\u002fY3O3fm2WP2et12MlFTLppQfh9zcws4fORBvPDszXTskF1Xkhdg+sp\\u002f3J3CW+uCPYroUEGNHw58Sh3Jrmka9z\\u002f4Og8\\u002f\\u002fhaKALfbHfN9e00w9+WKXcUlEAwSKAuSmOSnc8c2dGifTZ8+Xdm\\u002fX0\\u002f69OpKeqsUkpL8dngqwJFHX8aP0+eSkOCzpWl9VfeysiBFRSVs257Lv4tX8s8\\u002fK\\u002fjn35WsXLmetes2k5tXiMct8+YddpmtppbeEtIGU1xcynnnTODhB660mzjUYU9eAJwghJiyJ0lyiT2O6FBBsg8CPgPaUAvZI5MYvpj8E1dd8yibt+xo0n17TZASSpbNKisLEAqFbd+5qqhkZqbRuXMb2rXNIiMjlTbZGUz+agZz5y2qk0SX24Dt23N574Nv2Loth82bd7Bl6w7WrtvMxo3b0DQNTdcxdMPqB2fG1MutTlNL7spwOFSKikvxeT3cedsFXHLRCcAuk4vknNgOTBRC\\u002fLKnSXKJPZLoUEGy98ds89SGGjLerM\\u002fbcdf\\u002fLl7FpVc8yC8z55OcnNCoGnHRRKR6H7lvDoc1gqEQ4VCYUDgMCJKT\\u002fFVU1ZqILsnwxeSfGD\\u002fuMhSXC9Wh4nA4cDodVm13kPaA5lLLq4O8J\\u002fkFRfTcqxNPPX4dw4YOsI2FtWgsci5sxVTXZ++Jklxit\\u002fWj7woWyR1CiHnAcGAhtQTVSAmpaRq9e3Xhi08e57prTicYDBIIxC5stj6QarFZn023panDoeL3eUlJSSIzI43MjNR61c2TfF2xcj0JqclkZqWTkpKE3+\\u002fF6XTYi2DkuVsCyaWqXlBQxHETRjLlq+cYNnSAlUSk1EZyGQyzFBhhkXy3DG2tK\\u002fZYogNY6rsqhFgKHIHpZ68xqAbMKDpd10lKSuD+ey7j3bfup127LHJzC6rkhrcUlC8Amt0RpX48ND+8fMU6gsEwWpUOMi0LclHOzy8mMdHH88\\u002fczHtv30ebNhl1SRyS6vps4AghxKLdObS1rmh5szbKiIiL3wSMBd7CfNA6NSTDRBqVjj7qUKZOeYHTTjmSskDQipNXa\\u002fRl746Q5ZfXrt0MGC12QyewwpnDYfLzixgzejA\\u002ffPsi55x1TJWU12qgU07yT4BRQojVe7K6Hok9nuhQ3pZZCFEmhDgTuBfz2mvMfJPSW9N12mRn8vord\\u002fLeW\\u002ffRpXM7cvMKkG16d3cYVvnl3LxCduzIxeGsf9vlpoCiKCAEefkFpKYm8dTj1\\u002fHZfx+jZ49OEZV4alyhpPtMBR4BjhdCFBotuA57tLH7z9Q6wgqXVayHextwMmZwhNkYvQaoVjqlruuMGzuU6VNf5ZorTkVRFAoKiqOawtkckKTetGk7O3PyrbTXZh5UBBRFQVUVSkpKKQsEOOXEMfz43ctceP5xgOyLXqs9QrZMKgDOEUJcD4jdrXBEY7H7ztAGQAihR8THfwAcCvxB+b692ikuyaxpOqmpiTx4\\u002fxV88+WzjDr8IEpKSikpLd1t1XkZGLR5y3Z27MjD6WgZEl0IgUNVKSsLkJ9fRP8DevPJB4\\u002fwxqt30blz22rr6VWC7FWuAgswK8O8Lgn+\\u002f0Ry+D8jukTEvv0fYCTwBuaEENQm3dXyvfvA\\u002fn2Y9OmTvP7Knezduxu5uQUEAsFdWXtbHixOb9iwlaKikmbfjsiovFAoTE5uPp07teHJx67jhykvMXrUYMv6b9RFigvMBfwD4DAhxJ9GC+2L1hTYrbPXGoMIsucCZxuGMRNz\\u002f5ZGubpXhbHSbyutuyccN4pRIw\\u002fm40++56VXPuWfRStwuZx2GGhL8L\\u002fXDMOWiCtXbkBtRrXdTNbBqjpbRufObTj91NM5\\u002f9yJZGWateLrYFGXZZ9UoBC4QQjxApTHVcT4Mlos\\u002fm+JDjbZhfmreN0wjNnAs5h+d6glmq68LJTZl+38cydy8olH8OY7X\\u002fLyK5+wdPlaHKpqNQFsuYSX2seq1RuaRW2XBC8pKSMYCtO5U1tOOfEIzjrzaNq3aw1YCUiKuiuSS4ObAGYClwkh\\u002frKeL\\u002f\\u002fPJIf\\u002fc6KD2aYZs1qNKoRYbBjGKOA64HrMOHnJ0GpnWbk6b5CQ4OPSi07glBOP4JPPpvL2u1\\u002fxx5+LMQzD6oqqNmsseE0IhzVWrFgf1ZbTtUHG8muaRnFxidURtxvHHz+KM08ba0twWed9F2p65PMpAh4EHhVCBAyrnZfYTUoyxxK70WYy9oi0xBqG0Re4D9P3DrWo8xHfr+DLDQSCfDNlFm+8NYlfZ\\u002f9FQUExLpcTn89bXqu9CSVo5RBYqQrv2JnLfv1PoqioBIdDiYn6Xh6+KygrC1BaFiAxwceggX057eQxHHnEEJJTEoE6l8c2MEkuV4HvgZuEEH9a1\\u002fp\\u002fZVXfFf7vJXokLIu8AFQhxN\\u002fA0YZhnAfcDsji5jWq86b0ETbh3W4X48cNY\\u002fy4Yfw5fzEff\\u002fID3\\u002f\\u002fwK\\u002f8sWoWqKnZyiIylb3prt3m+Vas2EggE7ASXaKHcKm4QCITMePywRtcu7Ths+CBOOn40Bx20b4W2UIpStZhFNZDPQMVsqf2QEOIZKG\\u002fKGSd5RcSJXgmWmheOcMO8YhjGd8A1wLmAj3JpUqPBrpzwpp9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K6EQ1vKARYFvgD8NB7kpsfhEkjBG\\u002f8BPICEIqoY9R41PkuDdw6igQ14puFEYPtxYL1BzSW7ZB8sCHC3oMRsAT+glwunDWZc2dNZ\\u002fZZM8nJzgZOiuBXAD8WQiyx5yhtrPuckSb0E4DtMpNCCCmlnALcBwyn3viU0hzemMDLysp4+4MPefipZ1m5YiPIGFNGZXPFJB8zB0bp3kmycZfBhDsk+dmw4JeCroUQiSqdW0ATAndgSfC4YedhyeRfq9F9dLtgaA8IhZS+3jhOVko7LE4m\\u002fE2p\\u002fLhdqPSYGJRWCTYXCd5aK\\u002fhoY4xN22pBuOg9sCeXzzmXK+ZeRP++feufuZHU0nhaEuYtas\\u002fnr4QQ4bQo\\u002f\\u002fkiTeitRCNR\\u002fefAnYAHZWhLmVDSeLFXVlXxxH+e5rF\\u002fvcjODTvIKPByyel+rp7iZkq\\u002fCLpXQlQSNUC4BVfcJ3n5E3j2p4LLp0A4qAi96X3sn\\u002fb\\u002fPR74xsOS\\u002f7wLf7pB8OMLIVRXT+TOwVYKIVnE\\u002f7E1A6nu63WhyNIF5WWwZJfOG6st3lgdoexImEDbAq6ccxbfvuZqRo8cASS3QTRCIndfBNwkhNiaFuU\\u002fP6QJvRVIENU7Ag8D51OvCadkV6ZpodtUWV1TwzMvvsxfHn6SPRt2UdDRy7dnZvCNSSZ9O0nQLGJhgWkpLmpK8GfA8wvhir9KLhgveO3HEImovzvEJyVomhK9dSfoNACL18G0X0tG9oalvxHofqWHJ75w3SbY+BM0jnpPCH41LYiZSiVwJAmvGzQvYMDB44Jnl2s8syjG5m116DmZXH7hWdxy87cZOWyoPR8mmq6nWnROUo4LOAZ8Twjxoj3\\u002faVH+MyJN6M2gkVV9JvAIyqLerC6eqKPGYjGef+U17rn\\u002fMTat3kxBBx\\u002fXT\\u002fdx\\u002fZnQs5MJMYjGFNFqWv0FJYp4K+tg2M8l4Rgsu1PQs50iOK8LhBtFFlGUFT0ENSEoq4U7X5bMWw9De0L\\u002fTlBSBZFYw3E6bjefC7IDkBuAnAxokwkd8wQd86BDLuQE1N\\u002f9flSWewzMGMQMtQFoNqfXfFBWLvhgg8Yj80wWr6vBm5PL9VdfxE+\\u002ffzOdO3WOz08z+nsid\\u002f8j8At7\\u002ftOi\\u002fGdAmtBTQEopHJFRSvl9VLCHmxZE9UQu\\u002fsmiJdx179+Z98ESfNk63z0nkxumWfTuZIEB4ajizskkWgmYJrg9cOu\\u002f4O+vSh7+f4IbLwazEoorYHMRbC+GHcWS7cWC7cWSY+XqZK8P0CASRpWaSLUtNc5ZawwXdCmEQZ2hXwdBr3YwuAsM6wb5WcSlATOmjHw+D7i8EA3Bq2t0\\u002fvyWwdoNNbTr0YXbb72RG669BrfbjWmazUX4JWbnvQdcJ4Q4ko6ZP3mkCT0JHFHRzrP+C\\u002fA9WhDVE+PFj5aU8Ie\\u002f\\u002fJ3H\\u002fvUskdoIF0zM4ldzJCN61xO4sA1dDa6BEo2FSBDFc+HDRTD7t5LTB8OUgYKPN0v2HINjVUAV4IW8AuiUB+1yFMdfuRtO6yP4wTlQmC3J8Iq4bu9zKS5sSkWcdRFJKCqojUBJlaS4AorKobgcSqrhcAUUl6HKU7jAZ3P6IV0Fk\\u002fvD6X2hXwfILwBMiEWUhOL1Qk1Q8NwyjXveiLJ7Vx1TzprEX357O6OGDwea5e6JhroNwOVCiG1pzn5ySBN6IyTo43nAE8BF1HudkyJxsb761tv87M672LVjD1m5mfzhMp3vnmeBzfG0ZASeYOxy+wAJtbWwei8s2CpZvB3W7lcbRDQEmgd6toVxvQXj+0Cf9tApHzrkQEF7WLQWptwhuesqwc+uAOoajT5ZucjE\\u002fyfkzdXWwKEyOFIBB0thwwHJkp2w\\u002fTDUhlBlKQIwujeM7w1TB8HkAYI2OfatDBAeOFIm+Os7On9+vRqXL5Pf\\u002fey7\\u002fPh730UI0RJ3dySoYuBKIcSCNGc\\u002fcaQJPQEJRN4FFbk1nhbCV51FWlpWzi9\\u002fdxeP\\u002fON5vBkahbk+ikpMJgyEO+cIpg+HqF2MyRHVTZt7e92AG6JBWLUHPtoEL62E7YclMqSODeSq46cNgtvnCIZ2hoBXERECpetHweWDN5bDxfdIfnax4PeX2wa81mazy4b7gEsHlwtFavZ9IhE4Ugmr9kiW7oBVe2HlLpC1QAC6thVcPEZy1jDBaX0g2wmdF\\u002fDxRp0f\\u002f8fg0w01nDd3Fn+7+3f06Na1gcqTBM5GWw1cIYR4J83ZTwxpQreRQOS9gddRJZxS6uOJfvHlq1dz86238emKTZw+JpffXAKdCkye\\u002fATueUPidsNdl8Ots+0gF9MmcD9gQdFxeHW15KUVsGwnWFWQWQj9O8Kk\\u002fjBzqOBoFVx7v+TyM+DZnwiiVeoapmXrE7Yl3uuB7UUw7g5Jn3aCZb9WRN6a+lLJn7PeZSexw+ltKz9uQIfKcth9FBbvUM+x4QDUlACZMKonXDBa8LXx0LcjkAEVJYKfPafx2BtVdOvThUf+ejdnTT8T07TQtJRpso6RLgR8QwjxYprYW480odOAyAeiiLwPLRC5sxj\\u002f\\u002fdzz3HTrrwhHQtx5WRa3nhMl4EctSze8vRKu\\u002f4fk6DH48RzBXVeAbsfQLdoOLy2H55ZB2XEJPpg+RDBzqCLwUT3BbXP7YBWMuE1SFYQlvxL06qA4eGNOLSV4vHDZffDCJ5IHbhLcfD6EahICbT6XObPde9gWdzcgwIrC2r0wbwu8sUaycjsQg9w2cMk4mDtWMHM44IOH39T57uNBPB4P9\\u002f7+dm667htN5rcRHM4eA74phHg6Teytw\\u002f88oScQ+WDgbaAbDV08DeDo44Zp8Ou7\\u002fsTv7nqIvj39PHy9hzOHRjDCAsO0y6MCvkxYshGuekByoBjuuFxw9nD4wxuS99aDUQ19esF5owSXnw5DuoA3E4hBLKqIyTDBnwm\\u002f+A\\u002fc\\u002fazk+Z8LvnYGhGptzpo4Pqk2hz3HYPbvJfvL4IVb4KIJgmhtvS3g851DdV2VyaY2GlxQUwUrdsEzS+GDjZKjh8CdCzOGCr43C2aNgw\\u002fWaFz6F4PqqhA\\u002f\\u002feFN\\u002fP6O29A1TWXxJdc3HGK3UAa6NGdvBf6nCT2ByPug3Di9aAWRV1ZVcdMPfszzz7zFOWfk89h1Bp0KTcIh0cBdJiVEDchsC28vhKvul5iAYUC4Dkb0he\\u002fOEpw3Cgpti7UZU+doop5bmxJ8fli0Eab\\u002fRnLlGfDUjYJoLLlrzrF4b9wHV\\u002f5dsuUQ3HctfO9sARqEwkoEP7FCMq2HZSkqTOT02w\\u002fCq6vgX4tg534JLjh3NPxyLoQjGl\\u002f7u+TokRquvfYyHr73T3g9nuYs8k6uewi4NK2zt4z\\u002fWUJPcKF1AD5A1UtPSeSOseh4WRmXf\\u002fNGPn53ETdf1p6\\u002fXBnGq5mEY6IBpzQtO6jFAyu2wR9el7yzHtwa+L1w2wVw80xBIBNkVAWzCFHPFZOOGRj3S8mRSth2jyAnAIaV\\u002fCWaFvh8cLQcfvy05On5cPZY+POVgoE9wAwrN9znzd0bjDdBv\\u002fd5AR3KK+HFFfD4J5K1WwAf\\u002fOR8QZc28JvXBMePVXPhBWfz5EP3kZeTg2lZqWLlEw105wkhFqWJPTX+JwndSU5BNT94GziNZolcWdaLiou5\\u002fBs3sGTRKn51bVvumBPBNCxMs57IHTHW54eKKvjT25K\\u002fvwfBShg7REWvHSyGN24TTB8FtdXg0VvmrpYdBHPXK3Db05I3b4PzxoqUse9gbzZuEBo8vxR+8G9JRR3ccTH84BxBRqaSLJL59D9vOOG6HjuCrqIC3lgDf3tPsn4L9O6lvAh7S3RqqyuZMnkizz7+EB3bt2uOszvv7Bgw1fazp8Nlk+CrKiH8lcEOa3WM0P9AEbnjQmsCx7J++MgRLrryOpYsWsM9NxZw5yVhzJjEsuqJ3LLDQX0ZsGATzPgD3P2cWsC\\u002fvUaw8DeCX80RBCPwz4USK9I6IlfjVj9nj1CZae+vpz6dNAV0TYWpRqNw2RT49G7B9WfC7c\\u002fDuNslH6xRG5LXoySDLzJzRBNqPIalbAs5fvjGdFh4h+D+7wqiJmzcC1Ka5OfnsXDxUmZfejV79u1H0zRMKynt6ihibwe8KKVsa0tp\\u002f3PruiX8z3H0BL38b6iIt5TWdYeTlFdWcvHl32DhghXc+518bpkdIxJuKGabpiKauhDc8xb88U1JuA7mTITfXGKLyxEV9DLiNpWdtvVPAq9b6eAtvQgp1b2kBtN\\u002fJzlSAat+J8jxK2NdS5tFnLu7YeV2+OmzkoVb4OrJgl9fAj06gxFS1\\u002foixfnE57GkyoHX\\u002fXDkGNzztuTxT1S8fn62i\\u002fLKKgb3789rzzxF757dmwuscd7hW6gAJwnpevKJ+J\\u002fa+eyIKlNK+R0UkTvZUsmORQhBXTDE16+\\u002fmYUfL+d31+Vxy7kxoglEHhfVM2HzQclFf5b8+j+S3AA8cpPghR8IBnZVIrJhQEYARncXHKmA0lqbqFqxHIVQROjxw0WjYPch2HBAGbtSpZomwuHukSCM66vy2\\u002f\\u002f5HcEnWyTDfyr58yvq+r6AbUz7gklE2BzetJTrr0Me3Hut4MPbBGcPF1TUGGRkZLN95w4uvPJadu7Zi67r8YShRnCKfpwH\\u002fNoW3f+n1nZL+J+ZDFt3M6SUZ6ASVBKbJTSBs6Bu+fntvPPaR9x6RQG\\u002fuMggYkeqOVVcdF3pzs8ugBm\\u002fg49WwwWT4JM7BDecrTh9JGwTtFA03bWNWuClNapiTGtpStNARuD80QKvH95e68TXt+58YVvyI7Yh7prpsOFPguunwS+el4y\\u002fXfLeGhXI4\\u002fXYwThfAsG7dJXBFw7C+P7w9k\\u002fg8W9Drt\\u002fEcmWxbccO5lx9HQeKDqNpWipi11Dv9BdSygucjLcvdvT\\u002fPfg\\u002fQehSStHCR1OHyfao+PUATbuMxOGIiH9+4CH+8fAzXDa7gLsvjyl3FvURaV6vspb\\u002f8CnJlfdJasLw528JXrxFMKCT4uLQMKhFCNB1J870xDQnTSipoGdbmDxQ8OZaFVarn6AC5kTKhetUaak\\u002fXytY+QeVlnrO3ZKv3SvZfURJKQ7X\\u002faJlYIfDh0NKj\\u002f\\u002fmTMH8XwrOHW6ie7LZvHk7V153I+WVlWia1qABhXMJ6sMXHrTbXVlSSr0V6+O\\u002f+tOa+f2vJ\\u002fRWGF4cghbA34Ge1OeTN4FpG98+WrCQX97xZ8aPyuLhb5oqxNSqJ3JfAHYWw3l\\u002flvz1ZRjVFz66TXDrxSBko5JPDQYMpTVKEmiTpX4\\u002fETo1LBBemDsWdh2FFbtVfLt5gnZmgW0cMxXBD+8B794meOH7gnX7YNhPJL9+ThKKKuMi2EUnvmA4cxaqhT4d4fVbBb+\\u002fxCQrJ4elS1bx7e\\u002ffSiQajTe1aAQnkKYT8FchhBRCmPbP\\u002f7Of1szrf7UxLjFnvBXHXofqGNKi8a3o8GEmnz2XUFUxn\\u002fzGy4DOkrAtfkup9ORPNsA3H5YcOAzXnQX3XCnIy1EcKWWOuR2eOv42SW0Y1t2lLPYnog9bUpWJOnAUhv1MctNMuPsaQbj2sxnRnDF4A1BdBX99R\\u002fLHt6FjHtx1ueCS8YCAcDj1833ecFJ2PRnw+jLJd59ycXh\\u002fBXf+5kf86mc\\u002fxrIkWnK\\u002foONVWYbKr\\u002fuvZ2hJYKKacj4nhLi\\u002fpYy+\\u002f1pCTwh4uRlV2skg+QsVqEmZBNg8NAmjtblDLBblyuu\\u002fy8svvcVrv8rlwnGmIiLdthJ74b01cP6fJR4d7rlK8N1ZiogjsdTEZlng8cGyrTDxTsn91wq+O1sZx1qdWZZwLW9AhbgWlcOK3yjrfWus7y3BtOp93dv3wy9fkLy8HGaNhLsuE4zoo7wH5udwr9bAydH3ZcC6XYKbHolSFOnIyg9foXPHDi1Vq\\u002flfwM+FEHf\\u002fnyT0hICXLsBmFAF\\u002fJjiRb4uWrWTK1Iu5+4YsfnqRGQ9IcZiuW4dvPgrbDkvuvRpOHySIhuzabc3MpmGCPwfufFqybh+89iOBZdWrAyc0Vlt1eG6B5Ir7YfUfBKN7K3Xh8wh8iXsSvICAd9bCz56VbD0MPzgH7rxEkOmFWIoQ3C8ClgVev0ZNdYh11RMYcfGTZGf6bO9Is+mt\\u002f5chgfOFEO+2FBX4X0voNjd\\u002fALgZVSq4pW292ZZI0rIQmuDQgZ2sfnYOF40MY1hNfV9CwPFqyM1QNdTCodaJzBLFuStqVLmlgPfkuaKUKke8vBYG\\u002f0hy9SS455ufXXxvDKcQpDcAwTp4ZJ7kzpdhaBd46yeCLL\\u002faqL4sWFLYlXci0P8P0OVKe6f8n+PojlQaAwYKIXa3pMb+1xF6ApEPRhX+99OgJsrJXtheMNvugMNPEjMyUq5it66MYqZ54mK3S1cEZJ4EJ0+Ek7jy7CIIxSTXTRdEwl9MKKtp1Qe2HCyGF5dLLhmv4tMN48vj6gASgTQNNLcf12kvI7IH\\u002fC8Su0PoR4GeQnW5+b9H6KgHfRa4jCQx6jLeO7y1F7VA05FH3iW25iak5rXbBSe\\u002fiHPtxgtcCNnihKqYb5GUOLRm7IrSPs95w85Pr8exLdDkbTrnaJpErQGBZQm7UMWJOczi4rwb8INZJ+ykmKbXkYC0Gk9O03taiZ4hac9fPPNPxKMBnfUb\\u002f07TEGYtouA0XOOeUVFDUrW5atWSlhLRqMCFlcIiqu6f\\u002fJonss4EILSG92t8bctUrapbsXE6AUELUTH+LY4iZTXTUxEJ4asTaKaWmxDJCSk1dKAE9tyJ7jdBM20ucSKDExiGRktuTZcu0V0GTSgWMGKupAvHsgQul4XuidY7kDQJpkYk7AabmBsMRyp\\u002fve6OYUTdmJaGJiQeXxSkIBJ2NyCsliCE8teHYwIZk\\u002fgDEXQERsTV5JldmkTzResfDAmmTjTqihOtEBKvx4j\\u002fGQHS1IjZc+j1GOA2IaZjWuoV6y4DdAsz4iYms9COL8Ha+zha7++AsNBazdWbPnQK630Lc3Ki60xBJngLnA1G0wSarXdZphX\\u002ff6pL2D93CtU1qEXv038VoVNvXLkD1STIyUtugGBNmNKj1cn8rGrntyQSm\\u002fvax5j7\\u002foFVFAJXV5BGssuiCUmq+XTpkrYFNbhdZkpi1zRJda2PkvJMNCEb0bqkc\\u002fsq3C6rvuuKFGiahTcQo7Iigz3bO1FSnklVtZ\\u002fMjAjdOpYzoOcxXLpJJOaKc0wpBS7dJBT28PHCgWzc1ZHyygCmqdGn23FmTthO395HkVEXhtl6kdeyBD6PQSym8+GiQeiaxYQR+3AljFnTJJW1Pnbt74KuW\\u002fHxFOQE6dG5jJiho2kWkaiL3QcL0TQLTUgMUyMvO0RhXh2aO0bxkTw27OxI0dFcauq8RGIu8rOD9OtxjFEDi8jKC0LUS3T3g3g6TidEH\\u002fZu2Yvb44m\\u002fZ6FBLGpiGnadfV3g8bkxDYsO3fLJyVcBApZpUbS3lFjUiAfjCE1gxkwKO+Wq45IIC8cOVVBdGcTl1tU52DUIIjFbGhF4vIrEAple2nfNt8cl2LmhiI9f\\u002fZTDe0upKqslrzCT02YNYsalo3E1riaS5FWguNNOZ2mhJNuU+K8R3RO4+bmo5IUG3NyJTS89Ws2vr\\u002fs3+3ccxe1xIRuJZJqu4Q94GohRSKlKvWjulDGfQoNYTCcSdTWJEtOEJBrTmThyP7d+4xMsS9C4L5plaXgDEZat6cXDz0\\u002fAiZQRQhKNuujZuYzvX72Itvm1xAylibhcJpGoizc+GcyStT0pKsmjLuimY9tqqmq9CAHD+x\\u002fmuotX0rl9JdGoC5DomiQSc\\u002fGXf53B0nU9cOmS9m2qGTdsP2UVmewtKiA\\u002fp45BvY9yxTnrGorQKWCaAp8\\u002fRlV1gIeen8CC1b3xeWLcfcvbDOhzhEjIgxASXZccr8jgr\\u002f+awtY97fF4DKQU+NwmN3xtKVPG7saI6ZRXB3jwmUnsOtgGTbOQUnD5ees4e9JWXnxnJB8u68fx8kxMSxCNucjODOPSLWKGRpf2lQzvX0zXjtVMG7UK0eECyjvdx103Pc2h3SXoLh0hIBYx6NC9gPZd8zGiBseKKjhWVIkQgj5DO\\u002fGzBy4jKzdAxfFa7vnBC+zbptYMSExT4vboXHfb2UyaPaQBl3XW2utPLuOFB+fjduvxZaO7NPoM7YzHo1NZXsehXccx7Vji6385mzMuGMbyD7bxlx+9RLAmjNvjYty0\\u002frTrmsem5fsQmiCvTSZf\\u002f9FMuvdvl6qslqOuzhFCvNqSaw3+Szi6k1oqpfSj+o9Dk6hMNRk5+QFmXzWOfduPqUNkw0NqKoKsX7qHUE0YXdeI81WR0SyRRyIuunaooH\\u002fPY0kMXhKhSYb1PZKgdzXaYDSLaMjN6cP38eb8QWzZ3QG\\u002fL0pdyMPw\\u002fof52fXz8LtNDFMRua6b1NR5ufdfZ7BmSxd0XZIViHDz5YuZMWE7W3d34O7Hp7Hs0x6UVwb41Xc+ICc7RCzqwuONMG\\u002fRQJau60GbvDrKqzI4a+J25l6yDGr87Nzbjh\\u002f\\u002f5TyG9StG98Uw6rxNRP9EmJbAlxlm9972PPLCBPYfziM\\u002fJ0hNrZft+9oxoO8RNU8CDEOjfdsq+nQrZdOuTnj0KBaCurCbf742lr7djtOuTQ15WSF+8q2PufOBs9i+rx233\\u002fARw4cc4C9Pnsn8lX3I8EfxegyyMiKcNXE7Q\\u002fsWk50ZJhRx8fb8wTz91mh+9Z330fyZBPe\\u002fQ0Hfyzj32mn89Zan8Ph9WKaFrgtu\\u002ft359B3WBYC66jDP\\u002fv0TnrlvHgNGdcXrc2OaFnmFmUw8ezAbl+\\u002fDn+nBjJl4fG5+\\u002ftDlDB7TXQXmJIjSDuFd+M3T+eSVdezbfpRAppfqyiDT5ozkR\\u002fdeEj92zfyd\\u002fP1nr1J8oBx\\u002fpodgbYR\\u002f3fMB0VCMrBw\\u002fvgwvP3\\u002fwcoQmkJbk\\u002fp+\\u002fxtIPtlDYKSfV65AoIg8DRfZ3Lfo+\\u002fisInfq2SBejSjA3McA5m57b4+Ksy8c0e7GXHl7I0\\u002fd+jMenJ3B8i2TymRCScNjNpJF7ufGKJWQHwk2tAhLQLZCCWNhNsshwSwo83hg797al6GguXm8MAfi9BpfM3EBWVohI0CE4ga5LnnptLKs3dSUnK0w46uLai1Yy\\u002fYwthKv9DOx7mG4dKqiu9bLrYBvmr+rNnLPWE4u6wNJYubErfq+BYWh4PTGWrOvB2KEH6NqpjL69jnLHTR\\u002fSpX0FVoLeDPUGvMR59WVEWLyyL4+\\u002fPJ6rLlzNhm2dWbiqFy6XxfptnThvyhY0TSKlwOMxOHCoDR+v7ENBTi3hqNt+zhillZn8680x\\u002fOSbn6iikm6DqKFz5ridjDt9O0\\u002f+ewoLVvUhNytEJOaibX4tt3x9Af36FkPMhWlq6N4Y1+YF6diuigkj9mFEXLhcGtbWv7Nh4eVYlobbrVFdG2HGJSPpO6xL3KiXke3j+l+cTbA2zJkXjoiL8aZpsW7RLjRN4HbrhGqjzLx0dD2RN9rZLUuiCcH+nccoL63FG\\u002fBgWZKc\\u002fAwu+taEBseOntqXr\\u002f94Fp8u2cW4aQNYu3AXRw+VE8j0YlqSmsogr\\u002fxjMXNvmIzQBNf8ZCaTLxhGRpbPnv9kQdQIVLGNQ8lXeFOc8j4Jm5tbUspM4Jf211qjY5TebamfRszEMJRulvgxokqNKSmuVBlQdry0Yz11rLrOByQxQyc\\u002ft45rLlpJdmaYcNhNtPEn4iZS5yUS9KR8Dkd\\u002fe3fxQCqqA7hdFsGwm+H9ixjar5hoSBG5ZQncHoOd+9qyYkN3MjMU1x8z6BDTxu8kUuNX8faG0q8tS8Pjtth9sA2mQ7QCsjKiRAwlwrpdJvsO5\\u002fPrB2fx1sdDiIbdjBp8kIKcIKaZYOWVAo\\u002fbxJsRwRuI4vVH8XijvD1vKG98PITbvj2PGeetVpZ7+9jdh9pwvCIDXbdUgUhd8s6igVRW+7nh0uX06lJGOOpCIgj4oixd14N3Fw3Ek1\\u002fLxyv6cOR4NlddsIbtG7vxzqKBZPgjGKaGrlnceOlS+vUtJlrnxbRtCUbYTXZmiK+dvxpQLk5PwM3W1aUsenc7voCbWMQgrzCTS79zhjrGMNm5oUgZvoTg+3dfzJDxPbAsie7SWL9kN6vn78Sf4SEaMcjOD3DeNafZnoDG67H+hb72+BIqjlXjduuEgzGmXTySXgM7AnB4XymlR6uwLMn0uSP40V8vRUpJIMurCmnYpa11TfDMXz\\u002fmru88x4Gdx8gpyGT46b2aJQn7ZylwzDbE\\u002fZ\\u002fg6A43\\u002fxbQjySW9kTrpwA0LXV24rpFu1j05ka8PneLrhEhIBrVOWvCDtq1rSZc540bmJIdmwqWbUXeua8dy9Z3J+CPYhgaHo\\u002fJ+WdsQdMtZEzF8wgBwmOwbV87aoNesjIiAEw7bSdCt7AiAq83RvGxPI6WZuFxm8QMJ2cHXLqFBC6ZtZ6dBwo5VpZJwBvD5zWoqPbz0PMTOV6RydUXrEJaWoLrSlm1Dx7JY8Hq3miaJMMfZffBAj5Z2YfZk7ex60AhO\\u002fcXcvR4Ni6XhRCSupCHjTs7Mqv9VjzA3gNt+HBZP8YPO8DE07cTDLvZsqddfK5dLotXPxpK985lvPbxUM6esJ3CzmW88v4wgmEPuVkh6kJuhvUvZli\\u002fYqywm\\u002feXDmDrnnYEfFEkgmjExZC+R5h5+g6kFJiGxqvzhhI1vGT4o0QjStR+6ZFF+AIedq0\\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\\u002fB6DFwui5qgl7senUF2VoiLZ27AqvJTXedDt+fXkhr9uh9HColp6vTpdpzn3hlJda0Pt9ukutZH5\\u002faVaLqFx2Wx\\u002fNPufLqtM35vDMMAj1enz5COFO8rZdPKfeQVZjL1ouH1zECIeIz86gU72LhiHz6bm+e3y2L2VWORUmJaFi6XMrSZhlozoNxjLz28kGgkRiDLRyxq0KFbPsHaMKvmbWP7hiJ+eM8c8gqz1MYgBIZhUVNeR25hJtf8aAY9+rXjlceWcGhPCR6vm5z8DI4drOCDF1bz7V\\u002fOVptH8vxjxwC0PWGFt4hTmtCp5+Y\\u002fADrTRDdXEzHlgmGMObMfIkWYmjQtXB4Xrz2xhDWf7CAjx4\\u002fVQl6nQBmWZk\\u002feSn5+bYL+fGKwLA23N8b2Pe1ZtakbXm9McXO3wexJ20BINCFxZ4dYtaoPh47mMeeiFeRkRvB6TAxTkBmI4PfGiMV0AoEwRYcKeGvBIDJ8UaIxF7nZIU4bvp+YqfGnJ87kjDG7mX32p7QvqOEH137C+GE9ufdfZ2DZgTpCOM7F+oUkJUQibgb0P0zHdlXc8+SZnD91C9+5fAku3U5Id5usWd+d+5+ZTE3Qg9tlKUllf1vCYS\\u002fHyjKYt7wvZ47fyaA+xYTDXgIZYc6bspm\\u002f\\u002fPuMuPqiaZLKGj\\u002fXXLiKnOwQIMjOjGBaGkKr97NrHgMNGNDrKDnZIQxTQ0ro2bmMqWN3Y0mIhD28\\u002fvFQTEvg1SBUZzB46iBuf\\u002fQyANYv2UNdTYi8NpkEa8L4Ah5FQBIMw+Stfy3HNEx0l4eaiiCzLhtNh+4FSEvicunUVoV45dHFzLlxMhkuDU0TrPp4O+sW7cKf4VVqn2lx\\u002fe3nMPqMfoSDUd5\\u002ffjXT54wEIBKO4fN7WPnRNp5\\u002fcD73v\\u002f1dhC4448LhjJs+gHt\\u002f\\u002fAorP9pGZo5Prd+Wl5jz4taeyDo8ZXV0qaqDSCllT+DbJPGZOzt0Tn4GHboV0L5LXtJPh+4FFHbMoaYiqESoFkV25Z7q1bWMM8ftxoi4T4rIpQSPO4bmifHekgGEom58HoNoTGfGaTsZOnoPutvEMDU+\\u002fHgIz7w9kjGDD2KFPAzvd5i87CASQVllBsfKsvDk1XHwcAH3PT2Fqjofmq70\\u002fAunbaJ7nyMsWdaXdds68\\u002fJHw9i4voctlksK82vxuAw0zaKmzsvYIQfp0qGCaLTe9+7NiODLCbJ5a2d+ePeF1AU9fO\\u002frC9CEJBJ1EY3pROq8jD59B0P6FmMYOpqmgl7KKjN47t0R\\u002fOuNsXg9JuedsUUF9ABGxMW44fsZ2Oso4agLj9sgEnExtF8xk8fsJhJxI7EYN+QAfp\\u002faBH0eg1WbunJgf1vKa\\u002fy8+O5IDh3JQ9ctYjEXw\\u002fofpn3HcjR\\u002flKWfdmfH\\u002fkIyAxEQ4HZFmXOpP\\u002f4Ohk\\u002fsxYSzB\\u002fPRS2t5+dFFCCHiYvqGpXvYvHo\\u002f2XkBYlGDrn3bcvWtMxBCBa8c2HmM39\\u002f4DG3aZ5GZ7YuL0q89vgShCVwenVjEYMj4now+ox8AvoCHC785AZdb58Hb3+DQrhKMmMkrjy1m0\\u002fK9\\u002fOO371JTqcoU+TI85BdmommCaMQgM9vHjLkj7TWYlJs7i\\u002fAQMN\\u002f+f6vEzFOZo0tbB\\u002fkBUIgK4FdOzsaaU9yLlrKVD2sX7mTRWxvxZXhTlSKKQ6D8xhecsZmMzCCR0IlzcykFum5SUp7NSx8MY97yvggBFdV+YoZOSVkmDz95JmXlGRw8kse+wwXcdv08unYtIVTrp1PHcubO3MCjL55OZXWAh184nT7L+7JpVweOHM9Wz2u5uOycT5kzawPhygyWbujOzNN3UlXr5dcPzaJ311KyMiLsOlBIeXUACYwZcohrLlgdNzYKoQyOH84byu5DBcxf3ZvaOi+F+bW8v3AQ08bvrBftNYtXXxnPig3dMAyNmlpv\\u002fGU89+4INAEZgQglZVn06XYcISSmpeEPRDlvylY27ehIVY0fBMydsQGfzyASchOLeBgxsIiLpm3k+XdHousWuw8Wcus955OTGaZNfh2TRu5h+fruGKZgxmnbqSrPYvHanvz7zdGEI8oiH4p66N2pHE\\u002fZq+zfMZ5gTZhDu0tY8u5myktquPOpaxCaIBY1+PjlT3nmbx8TrIkQi5iEQ1Hy22Tx7H0fU1VWy7GiStYv2c2kc4cy++unYcRMjhws5+VHFrFmwU58AQ815UFCwQijp\\u002fajoqSGSCRGRUkNG1fs46MX1zL53CH0GdqZFR9uQwBzb5zMgjc3sPKjrfQY2IHqiiDb1x1UqqRH58Y7z6XHwA7xgJ0kcGocPiuEKG8pY63xmj7lkJC4MhJYzQlIHtXlddRUhmy\\u002fp\\u002fKSV5cHeew3b7N36xE8PndTPT4BmpCEIm4G9T7KHTe\\u002fj1tYWLLeaNX6ZxC43QbL1\\u002ffg3cUDlFHN3pCcIJmYodulqSTDBxRzwdRNxMx68c3tNvlwaX\\u002femD+YvYcKCIbdBHwGBbl19Ol2nNmTtzJm6EFiUR3LEtQGPeRmh0HCyk3deG\\u002fxAIqO5eD3GuTn1jG0bzHnTNpGhj9KzNDiYnwk6ubh5ydQWhUgwxfD5VK2gm4dy7nmgjVomiqvZ5gaf\\u002f\\u002fPZOrCHrwes4Ex0wmnDUdc9OpSxuWz19IwnEDw7Dsj2HGgLUN6H+HSWeuxEmL3AXTd4uPlfZm\\u002fujfRmIuC3DpOG7af04fvx+M2eH9xf0qrMrjyvDV8srwfC9f0IuCLITQ75lyCyyXRZBDyxkCgF5G6GmIxydW3TqdH\\u002f\\u002fYAVJTW8o9fv4NhmLi9rrjRzTItwsGYncmo0aZ9NlfeMo28wizKS2p4+t55lB6twuf3qMeybURev9t+5xLTsKipCNFjYHuuu+1skFBXE8LlduH1uykvqeH1J5eydsFOwsEouW2y6NSzgFmXjmbQ2O5IKyWR209ILTDKzlhrdQ37U5bQUQ\\u002f1ADCXhnXXJZCNqvuWeA5CCD555VPWL9uDL+CJu902LNvL8eJKvP7miRzUgo3FdH563SeMH7mXSMhzUmK7A5duIVwmNI4+EzRJmomG3A2s91KCxxejvDyLomM51NR58bhN2uTV0aV9BS6PQTTsiW9Cum7F3VBuXwwsQUVlBpYlyMqI4AlEMMJuLKvhxiUEuNwG2G4zlXSjgoAax++73SbSEraO33he1HeaLSU0+It9D8tURs1YrKlnRKKeNxryEAq7yckJgmbZsQlCPZNmEQt6cbvMeOxCoxmHaCV0vwYG\\u002fLnh9VM3b\\u002fxS4PjzQRn3aipDeHxuApne1ozP8TbdLoT4\\u002fYlwczhFCR3ixF4ATVaUF5W105MUSS1QL9+H6iL89Gv\\u002foGh3KS6P1qxLTdMkwbCHMYMOcvsNHymi+YylwdX9RHxMDhIn3paik24oliVwu000t1n\\u002fUJYgFnVhWQ2TWRK5o2WJuA8dUBZ8SyTNNlPjFAhbAkocZWNJpnXZWk3PA+VmdHh4KgnJeSZNk5i28c15RsveYHQ7ZNZ53ibzKi1w+XFNfAcR6BLn0IlEJK3Gz5rsnSRkuTUIsmw0S42IU8VhNAq0sQcrpYr3SIy0c1x+KTg51Ovhjwshbkh1UHM4ZXV0WyQ53vh7KeV5KCKXNCPSOyLQ\\u002fNfWs2+bClFMlYrowLIEXrfBhWduQnMp\\u002f\\u002fRnze9Wa8C2JKc6ppk\\u002faprEMHTbz15\\u002fgiZkk41BNDoPqOesQqYkcjXOZGNsenzrGGLy+9SnqTajOtliuArkaZhdp56p3irv\\u002fKnJkDQXRMvg2EeIntepVPVGAxeaaJbLicZXFs4mkuSOjR4nKdEmuPaErgyCDvG3kDnnrPNdwC4ppeNm\\u002focQoqa1dRNPWUKHuB8d6l0KFnC9\\u002fZ2TwdP0PHuHrCyr5a1\\u002frUB36S1yIs0O\\u002fpgyZg+D+x8mepKW9i8CJ5JOmuzc\\u002fzYkbo4nByUjWyXz0Hpep5IVkqWfndTgPvslwJYCWnct56g+qH4EDt4Eamgq1CTFKeteA0gsZ2vrIwOAqbTAzUHtqPNeWsfBXceUbt4CpVtSIzMQUdz81NVo0mgNpFTVLau3Imt2YMvMX8J960Vzy\\u002f60tO5OEKb9MVBeqFbjlOLozRSjd76\\u002fElXitmlVGas+bl3TNMpLqnnn6ZX4Ai2703TNojbo45zJO+nT4xjRiOeEOaGSxFKLg461\\u002fUS2kFbW5k95x4aGvRO6c5IY7y9n85M0rUQTT7Q5kSEIL4SOIkpXIjL6kqwKZwt6cavgqINOyKqwZfzGV3VsAlrrOXkyOLHOR1G94eG\\u002fLTKuBV3DlFJmoQgdklWV0UQDMnv9iWWUHK4ksxVRcDFDJy+7jvPO2IplnbiQ4xiMXG4jiRXYGaDEMnTMxiWWUkAIcHtjthnmBFeGkEhTqy8qIcHjNlQQS0v3t5NiHAu8GotU58qWg41whisSrVciPo7WnNe40o5Lt2xj5AnMg7BAl1C3ALSvk2qpt8IQlhQOp07Ur6PhGOUltYSCEYyYiRCCrBw\\u002fbTvlxm0Cyg140tZ\\u002fR\\u002f\\u002fYh+oL32qcMoRul8TRgMZ5ni5U7u2lQDdSVJU5sPMYh\\u002feV4vG6OVZUwSevfqpcbK3g5sGwj\\u002fOnbqZLp7ITdqdJCUKXxGKqQMThkhx0rd6iK1DW5uxAhNlnbCEvO6hCPVtx3XfmD2Lrnvbouqrg0tw5iluoum6Z\\u002fijnT91Mu4IaYoaO22Ow51Ab3lvSn5paH6o5ZAJnkQl+8KgKPskMROISSNTQCYfdeL1G3OKddDD2dUxLwzDq29ToQqLrVtzQlux8AQhhMnboQSaN3Ff\\u002fvZBU1\\u002flYv70zx8szAIGTa5LsLTnfqww\\u002fMLDw9J6Hy+PDsizcbp2sXD\\u002ftu+TTvls+Be2y7fl2OHPLBJiYurpnazFr5u9ky8r9lBypJBKKEQ5GiUYMkBKPT8WxDz2tJ9PmjKDf8C7qGaz6PlcOp2\\u002fFZuN4mXYKIcIn4kf\\u002fygk9QVxvAzyDqtGeSMwCVc65X8LvCX4S9dvx4kp2fHqIYF2Uj19aC5rA5WreneaEunZoU83Zk7Zh2WmdSceZ+iq4dZMnXh7Na\\u002fOG4vMaTTqv6HYJqZ5dS5k0djdGUI\\u002fHdKeCtAQrNnRj\\u002fbbOyuqoyRbNSVIqN5rfF+O0Yfvp0LYaGRNoLpO9RW2Yt1xNYczQ4wkk4Fj2NaIxF\\u002f17HmPWhO10KKxnGJalsedQAa\\u002fOG0JdyFtP7I1nQqj8gLycIB3bVoHtAiurDFBWmUE4ojaLVJMpJSxf34OOhdX0615COOLGF4iwfl1P7nnqDExTt8OKDZpTgpxov4KcIF06VFK0eCElR2N4fa64Dq27dTp0zWfw2O5MvWgEg8d2t8fQPLe1TImmC4r2HueFBxey4qNtBGtCuN2uuF7evkseA0a2xZfhJVwb4dDe47z9nxW8+8xKppw\\u002fjK\\u002fdfAZd+7RNcm3LziJMKVU6A3Pi3J0Kgi3iK7c6JZSI+gPw8896vaI9x\\u002fnpZY8TCUVTNeOLQ9OUpf2a81dzyblriaSotBKvRJpIaVJxancgwrsfD+XB5yaQFYjGfeINztckobCb3\\u002fy\\u002f9xg2sIhIsGWpQdjcuTro5bl3RvHR0n4E\\u002fNGm1VVxxqQyvebO2MCsidvIzog22HBUNp6L3Yfa8OAzEymrUjnkmpCEI24yAxEuPetTZk3YjicQAUurF5Ul4IvxxwfPZvGanmRlRJqoII7qGYnq3HLNQiaP20XULi9lScGR49m8Nm8oi9f1jPv2E33TArVJFebX8fvvvUNudn2uvGFqHDqSS3FpNm8vGMy+onxVmy\\u002fJ8hWoijjZGRHu+M6HdGt\\u002fkJq2t\\u002fKP50ew6NUF+DICtmtLEo0YRCMxfAEvUy8czjd+PJPMXH+DwJZEOJvAp0t28\\u002fefvkrJ4UoC2T50XSMWNQlkefn6D2cy+fwheH3u+HlG1GT7+kO8+c9lfPLqp3Ts0YYLrj2dHgPaIwRUV4Q4tKuEdYt2kV2QwR2PXYWma43H4ay+KHCGEGL5iQTNfKUc3RbVLSllD+AGlJEtFePSUnyviM6yEELw4oMLqSytbVE3F0KlWHbtUMHM07djNuNOM01BzNQbBlRIgcttsHF9d\\u002f7z5mjyc4KEwu4mC0SJkBqZ\\u002fig5GWEwW2eMkVJx9TZtq+jSvpKooROQJK3vpglJMORl8ug9XHb+GqxofeXUxPF63AZD+x+md9dSjqzLJsOlylX16VbKdy5fQp+exzAiLsK1fjxuE81j2xw8BmVH8jhwOA+Xy8RM0N\\u002frn1MSDLsZ0ucIpw3fjxFxx0V\\u002fXZN071jOLdd+gs8X491FAwh4Yw2eRdMk4aiLsyZuo6BNdYNsQbfLpHe3UvoOOExhbh2\\u002ffWQmhqnHVYEGc2FvqpfMWk+37mWEyyDLs4+v3\\u002fI9Pp2\\u002fmmBtDF1XBUbcXhcenxvLsnjnPys4erCcn\\u002fz9a2TFiV2NT1oSS0p0XWPrmgP88f+9QDgYJSsvgGVamIbaOG7+7QWMnzGgyftxeXQGj+3O4LHd6TOkE\\u002f\\u002f+80c8edd7eLxqvYTqorhcOpFILF5pJkkorEMXh4B1as5bHxn3lYvutm5+G5BPfdD+CcGys5G2rzvI0g+2qOCYFtuLqkCU86ZsIScvmJTLOsSxaXcHPlraL17oECASdVFT62Pjrg6M6H+Y7MwQHy7vT1YgoopDJtzHNHVyCkI2R26d805KgdtlUXokj3cWDiTgjTYhXgeGqZGdFVLx44ZOzNSb1lC3BG63pLraz\\u002f7ifHRdUhv0MHXsLq6bu5LcnCDhoBchJB6PKkCx+2AbpBSEYy7Wb+3E4RKV655MbHcMkhecuRm3Jxa3dTgSjspcM7ni7E\\u002fZsE1Vs3XpiisLIQlHdbp1qOCMMbvtSjkN5yIa1fHqFiXlWURirvrU2QQIO9OuW8cKZk3YjhlyIVw+jOM7yOlaQY+B3Vi\\u002feCuuDF9chHesKbkFGaxZsJOn7nqf7\\u002f\\u002fp4gaSoNAEOoK66jAP3PYGodow\\u002fkwvpqEKRtZVhZg0ewjjZwzAMEx0XWsi\\u002fitGpHHJTVM4uLuERW9twutzY1mS3DYeYlGD9t3z+drNZ8Qz7BpPsf3zQyFE5ET0c\\u002fgKCd1OQ7WklKNQ1vRGVV1pVuxOuJBycUjBK48tJhqKEchqPgpOE4p79O1WwuQxe4hFGtZNcyCExDB1uncs57JzPrXFdwFC6ai\\u002fe2QmmYEo37x4BU++Ol4RV5PFp0TJnMwwmYGoLfK2\\u002fFxSguY2eGfRQIpLcshssoHYz6JJgiE3F0zdTLcupUmNiZYlcLlNLCl4+u1R7DtcQGYgwlXnrePiaZuQQCTkjuveQqhNsKwi0y5rVciqTd3w+2JJiVwTkmDEw5jBBxkx6BCxiLuJDULXlOqQk1PH6MEHeeWjYeRkGph2qK5h6syauJ3cvKa5\\u002f1Iqrl5b6+P1TwarWP0kZbWFUNLX+VM3k5OrNi5N90DwIFqsFI8\\u002fkDLXwTQtsnMDLH53EzMuHcXA0d2QUhIOxTiw\\u002fSguj4t5L6\\u002fl4O4SMrN98RLS0lLVYkef0TcuBSTT8TVNU8xHE8y5fhLLP9gad\\u002ftaliQcjHLBtRPIKchIVdfduejbjX5vFb4SQnequtrc\\u002fOeotkoNepa3opSOcySarkpErV2wC18rQl2xrc4XnLmZjMxwszqzlBDwxcgKqJJOlhRovigvvjGGQ8dy+fXN71OQG+TAkbykRiJH98zJCuP3R4hF3S366C1L4PEa7D+kyjL5vakJLBrV6dS2inOnbMGM6U2ubVoaPl+UiqoAj714Oh8t70ePTqXceOlyRg3fTzSoEiqc53eIvFeXUnp3L4FAlDfeGs2y9d3tWPim47Bsyee8M7bgdptEQqnUIAm6Re+upXg9RjwrMBJ10b1jBWeM3Y2ZZH6kFOjeKPPmD2H3wTZkxTfMhLnQVNZh\\u002f17HmDJmN7GIy64IpCGsaiIV+6gorUNziaQGWmUEE9SUhlm7cBcDR3dDCEFdVYg1C3exfulutq89SEa2T5Vvjr8ricfrplOPAoSw\\u002feQpoApLKGNd977t2L25GF+Gh1BthH4jujB97sh4HEjjKUbRRlxs5wQbSH5VHN2pHDMFuBjF4hoEwNRUBDm4u8R+6NREKKWksizI83\\u002f\\u002fGEtauETz4a4OBxzWr5hxw\\u002fZjhFsOdbUsgWnqmFLD74+waGl\\u002fnnh1PFedv4aRI\\u002fexb1d7Kqv9yjKe4lL52UGEx8SKeNBbIHRl2JK8Nm8IVbU+MvzRpNwcIGbqXDR1M\\u002fkFtQ02LCeAxxcIs3tvOx54bhIbd3bgjNF7uP6SZXRoV0WkzovQktuvo4aOCzi+v5BXPxqCy9U0CQTq5\\u002fP04fsY3r+IaDPzKQRg6rTJrcPvixGLaei6xDQFsyZsJyenLik3d7lNjpXk8taigXg9ZtJ+8lKChuTiMzfh80cbqA66203FvnUU7cnE40kdJSklaC6NkuJK+3dJm\\u002fY5XHXLNKrKatm29iCNS3krV6VUenorIDSBL8NLTptMe8MQIASX3jQFn1+J8kkazjgX\\u002f0QIcfREM9fgKyD0hBrtOvBbbEMpNqE7ls3ykhqWvr8Ft9uV9MVIQNfVccve34IRNfHaE9UcLClwu0wumLoFry\\u002fWar+5lAK\\u002fL8reA23529OTOW34fi4\\u002f61NkxMXRsixMS0PXm+qvllQFEdvk14LlZG+lhmkJfIEom7Z1YumnPfB7Y8lFdjtvfmCvo0wZtwsj4oqLy5bdosnjjjF\\u002fWX8effF0auq8XHvhSr529nrcLpNwyNNskgsSdLfJe4sHUFaZQUYg+WZjWQKf1+CCM7eovHBSy5QCFaCWmRHB4zKJxnSiMRfdO1UwdeyupJV8pBToLpO3FgyipDQz6Tg02xA4ZvBBxg49QCzhOtKS4BOsXVREsLYnfm9yjh4fo6A+9kICGlRXBFm\\u002fZLdNiA0ZqdAEkWCUor3HGTyuu1q\\u002fqWzGUvLmP5dzaFcJezYX48\\u002fwUlcdYtyMAYyZ2j9paWkbDhN8JvXIm8dXwdEdbn4JMIlGySmOuN6tXzu+\\u002fcvZLV7MsiTHD1eydc3BVtxYpaGOG3qAUYMPEgu3nsjdbpPKqgD3PDWVrMwI371iMZpmIYDikpyUIaJSKj97YV6dclklCRTRNCuuTrjdJjU1fp57ZyTRmAu\\u002fLzmhSwS6bjFn+kYCgUh8w7IsDa\\u002fHIGZq\\u002fPu1sTzz7ija5Nbxs+vnMWn0boyYi1jM1SyRW5bA7TU4eKiAT1b1weMxSBZ3pGmS2pCH6WN30b\\u002f3UaIRVxMjYDI40q2GJGq4OGfSNjKzg0SCqvuMcwXLUhVv9+xvy7zlfVWMQrLNRqrN5qJpm1VprpAef6+aJomEPSxdkdGiUisEmDGL3AK7VZNloWs6Rw+Wc7y4ShUtabRLCCEwYiabV+9X\\u002fQSaE92FYOTE3vQa2IGDe46z49NDBLK8fO07U9B0kYpJOWL7VmCBfZ0T4ubw1RC6JaX0Ard\\u002fpovYRfQ3Lt\\u002fLzg1FcQtm8zdWvcMumrYJTVfFD1IFIzl55FIqP7glBQ8\\u002fP4GDR3L5\\u002fffepU1BDaE6L35vhKJjuSr\\u002fm6ZKhrQ5emFejc3Rne8FbpfB\\u002fuJ83l88AF1X3LCqxs+eQwUcL89MubAd\\u002f\\u002f\\u002fEEXsZO\\u002fRgXFy2LIHXF6W0PJNHXpjA\\u002fJW9GTX4EN+5bCndu5YSCXrsCLiWVQdNSN5ZPJCKKn9Kbm6aKuLvvKmbE9I6E8Vu0cQF5nB1ZWl306vrcSaM2hPn5m5vLCFUSoKAlz8cRl3QSyCJCqNpkrqghzPH72Rwv2KiCZu3ZQm8\\u002figrPu3JrgNt8XmTewzqxytxeXS69VWVaJyu2eUlNSmjb6Ul8WV4Wb9kN4f3ldKpR5vmODNd+rSlC+DzuQnWhJl91bh4GeoU5ziz96wQInYyYjt8yYSeEBzzTWAozRSOaAmObvTKo4uIRgwCmXqqduZA\\u002fYKYNn4XA\\u002focaTEN1eVSIZuq7InJM6+O5aPlfbn58qUMH3yISNCjQlNjOiVlWaj4T5pQutPwsDCvDiuhkIUTKlqQG+SMsbsB8LhNDhTns25bJ1u\\u002fbCoIC6F02sxAhDkzNtoBKRoCiTcQZfuuDtz3nynsPljAxTM3cs0Fq8jMiBAOtiCqJ4zX7Y6x50BbFq3uhS+FRKFrkpqghzPHbqN39+NEIw2NaNJWkQy7RLWwm0piqxyOMe3sidvJzg4SDXmIGS5WbepKOObCNDRMU2ff4XzWbOmCL4kK41jZszPDXHTm5ngATnyf0CRG1MU7CwdiGMq9mLoBpiAaNmjfNZ8x0\\u002fqr72zLtx2PlGK+JC63TsXxWt7+zwpuuOPc5mYXKaHieC27NxfToVsBF153Ok6DxqQnKPqoQaWlnjS+NEJ3ykNJKfOBn6AeonUWjEZwdr\\u002flH21l44q9+DM8LXJz0y6ndP7UzYgW3HZCSMoqMyiv8uP3xdi0syNPvz2amRN2cMH0Taq0kVDtgSur\\u002fFTVetH15K41SwpyMm0fumxItlIKMnxRBvQ+qpJNAlHKqwLEYrri8CnCTMMRD+dP2ESfnscIB724XBYut8EHCwfy6IunI4Tkx9fOZ9bEbRimTiTsbhWRx8cl4K0FA6mp8ybl5gKIGRr52SFmT9ka77nuHGWays6wfXd7Xv94CDddtoysjDBmTAfdoqLGT0lZFv17lDB51B5iYbUJhUxV8TYY8aBpFjv2tmX15q547LLPjZ9ACEko4uWsSRvo0e14A3uLaWn4AmHenT+EjTs6ptyw4g8EGDGLS79zBrkFGSpgxf4+v31286HHpoU\\u002f08u8l9Yx8ezBDBrTPbmLTCqd\\u002ftCe4xQfKON7f7iItp3ymmuT7Ki1nwghNtm+8xPm5vAlc3S74ON3gO40UziiOShjHUTDBq8\\u002fsdQWA5MGGMThcPOZU7fQq3tJgzprTa8v0F0W2\\u002fe2Y8POjhSX5PDptk706FzO9XNXIFAcFEBzm5RWBaiuteO\\u002fmyYnYloabQtqcelW0qg2SwoVRYYkVp7Jc++OxDB1dD1GU26u4tTbFdRw4ZmbiUXdeDwxYjEXT752Om9+Mpgencv5zuVLlNQS8sSfvzWwLIHHZ7B9d3uWre+B39eM6hB2c86kbXSzVQLHwm2Zyp1XWpbJPU+eyahBh8jKqcMIe5QUZmrkZYWYNn4n08bvwu+PEY26sIAMf5TzZ2xQO01GhLXL+7J+eyc0AY1frxPP3r5NNbMnb8Mw6l2Lpqnhy4iwe187nn1nJLrLbDKX9ddRpZ2rymu56LqJzLhkpCI8TTXglJakoF022fkZ1NWG0LWm+RMS0DVBOBTlsd++y+\\u002f+\\u002fQ2ycgMpCz16\\u002fW7OvHA4sy4bbauGKbcRh\\u002fofSnVAa\\u002fGlFJ5IqOraCfg+J8nJgThhL31\\u002fC1tXH8Cf2Tw3F4Bh6BTkBpk9eSuW2XKiSyymM2n0Hi6duZ7SigABX5SbvraUgvwajJgKrpFSKO5UlUFVbUC1akrG0S1Bm7w6u1VSagHNE4iyYFVvdh1ogy+F31zYfvNzz9hC2zbVuF0GJeVZ\\u002fP6xGbw1fzBCSL550UoGDCgiVOdtlT7eeLxCwhvzhxAMu5N2poknjOTWcfakbZgxHQnxjDxfZphjpdn8\\u002ftFZGKbGleeuA7uclWanoPbtfpyfXPcxIwcUEUvw\\u002fUspiAR9RMMeQiXZvPjBcFUpN2kwkwphnjJ6Dx26lGIZOk5hS19miAMHC7j3n1OpDXpx61bSdy7sGv\\u002fVFXWce\\u002fV4vnnb2cRLLdtxHEIT5LfNYsyZ\\u002fQjXxZL5uAElZfoCXvZsLubhX72FGVP5740j7AD6D+\\u002fCHY9fTUa2r7l4EWd3WgkscLxVKV9eC\\u002fiyOLrzJD9FZak1KRzRGqiXoAo+vv7EUpXl08KjK+6jc+G0HXTqVN5iQomUoOkW4YiLB56byN6iAr535WKG9C+yRUPLfiB1jZLyTCJRHb83itk4Ugslxhbm1apIriTZcSpm3qSsNIu3FwzC5UqxKO1ovt5dS5l22g7QTT7d1I2Hn5\\u002fAkePZZGWEqa71cbgkh2HRlmMDGm8kpiXw+aOs39qZNZu7qCCdJNxcCJW4cumsbXTsWoYVdOPzxsBlEQt5WLCsHy+8N5I9Rfn88OsLyMmtazLnKi7BHX+uBuMCvP4o7y8YyNY97ZMa4Jxr+DwGC1b3IsMf4bwztuANRMHUWbyyL0+9No7yqgBet9FEkhJCoNkcWNM0rvrBdK74wZnxcF3nHUlLMv+NDURCUUqPVCmibUaGt0yLjGwfC9\\u002fcSG5+Bt\\u002f+1blYTetd2PMv40UqWsDTKHrxoOoynCixW0II+YUTuqNXSCkHAN+k3sCQcEzrrmVZKrFg\\u002fuvr2bPlMBnZLSWuqP5pHdtWc9bE7VhJIseajNdOO33qlfEsWdeD2ZO3Mnvqlga+WefaMqZTXJKtjHLNeI8L8+pAd\\u002fK4G\\u002fuJlb\\u002f6o2X9OXgkj8yMcNLiF6ohoOCSmRvILqjhzXdH8vRbo4gaLgL+GKapoWmSvUUFaM2vR4SQuN2Jqp60O6sI3pw\\u002fmEhUJ+BPbvwyTI3CvFr69yyh6GAbolGdymo\\u002fe4sKWLetM9v2tiMSdTFqQBFnjLXDi5NmBCaJjbA9ERUVGby5YLCSglK8LiGUW7Kq1s8Tr57GrgNtmTJ2F0vX9WLpOtWlxutpqHoIoaLTjJhJXU2Err3bcu3PzmKsbXxLJHI1HtB1DcuUjDmjHyVFFRw5WN6sh8eyLDJz\\u002fLz+1DIyc\\u002f1c8f1p8T5vDcffLIU7au0uIcQD9ncnpZs7+DJ19F8CGTTT27wl6LpGsCbMm\\u002f9cjtvjarlGO0q8O3viNgoLq1vk5pYl8AaivDd\\u002fEK\\u002fOG8KQvke5bs5KREKt88QxG4bOkePZuJIY4kBxyYAvSm5WCCytSbCMlODymBQfyeX9xf3xpnD\\u002fODaGiSP3MmbIQR588kzeX9Ifr8dUHMuy67ALOHAkz17cyZ\\u002fTCbQ5VpylxgAYMR2EZPve9qzf3gl\\u002fCreeGrOgoibAbx+dgWVqaLqFJiAUcYGEgD+GEHDR9I34\\u002fJETKuThbHofLBnAgeL8lPH9jvpgGDq6bpGVEWbFxm6s2tSVmKGrBpBCxktHCySm1IjFJNGw6sN23jXjmXP9pHgGmioH3WiudMGU84fGf+8zrBN3fvPfRMMxu+BokueSDrH7eO7+BXToVsDUC4c363JLAufASinlzYCPExfbHfvoi0KIoi+U0BPcaacDl5DEnWaZFrGY2WL1FDOmOoO89vgSDu8tbbF8s5N\\u002f3b1zOTNO34kRcTUID028ocC20vojbNzShcdfHU9WRoRvX7KMnOwQYdtq3SCt0pYWiktzkhrilBtMVWrJyQqB2TRYBlTbpjfnD+Z4ZUbSGG6Hi2ZlRBg75CB3Pz6NFRu7kRWIIBEJY1L1ziuqApRWZNAmN4hhNmzUYEmBy2VSXhXgw2X91OYFhKIuDhTnsudgoUpcSTGnpinIzghTkFeLaXd6qar1U1HlJ+CLqQCaOi8TR+5l9JCDzYbDNoYTLHS4OJ93Fw3A50luJXdi43t3LWVg76Ps2NuOXQfb2LHz6hpO\\u002f3bT0giFVcqu3xuhsJ2XieeezvS5I+jYvY2ak0Y11tVY6n3\\u002fqhiE+qXf8C588+dn8\\u002fefvYovuZXcvoDi2B6Piyfvep\\u002fegzvRpXdhc11Ymjym\\u002fXOM\\u002ffksWA18sYRO\\u002fS70K5T0EE9ccVwK29Yd5KOX1uHxpebQUqp6XMX7y9i37Si+QMvuNIHKiDr\\u002fjC1kZdep\\u002fmnCiZZqdH0LfP4IR4\\u002fm8uBzE4jGXNxy9QIGDT0AdV78\\u002fmjTG+gmlTW5VNf4kuZFg+LoGYEoOVnheECNA6dn+q597Viwqo+KgEthgKsLeTn\\u002frE8pq8hg\\u002fqredCissXuiN4QTSFN0LJe2hTVIoyGX0uyElQ6F1Xx77nJ7bgWuQJRnXxvDnoOF6JqVNB1WZeFp3Pi1ZYwfvRsz7EHXLCrrfDz+8mksXt0Tj9ckMyPCnBkb4gbL5lQlR3qRgLQEQrd4\\u002fZPBlFdlkJGCmzv++WsuWM3QoQeI1nl56pXxvLt4YHxzcPzrBTl19OpaRpvcIP277WPY3J+Q1WeGmn9LxnX1ps8q6qP3tIampBmXjKS8pJrnH1iAx6tjmalEeJXVVnG8hn\\u002fe\\u002fT63PXLliXD0+GU4weSVBDjsrAS+QNE9gZufB8ykUeKKs4v2GtSRth1zm93ppKUilh664012bjTwu5sndE0ThOsiDBjdg4lnuDFqDYSmpB+n3FIiBFBxPJuHXpjA\\u002fuJ8xg\\u002fbT4\\u002fO5eze1inFswk8HoPte9s14ZqJ1zQtjQx\\u002flJzMYLwhQYO\\u002fS3ht3lDqgh4CyfzVtnpQmFvHeWduZse+tuTa7YObjkm1ZKoNejhcksNIfT8SD6kkPqfvmUu3OHYkl3nL+9mhrkk2EFvcH9b\\u002fMKMGHSQWVPncsZib3Lw6Zk\\u002faxprNXaip8zF3xgZ69yxpuYqOAI8nVh9k5DXYvrUzC9b0xu9LXklHJdB4mDxqN0P6FROuCuB2m3zjglXs2NeWvYcLVBFMwLJ0vB6TGy5dRl6baohZkKUrZiJNND3J0rdJ49ihCkqPVqne6ImRfpYSy9t3ycPj0YmEDLx+V0piN02LjCwfqxbsZOn7m5l87tATFeE1Ts4z5hB5CNWr7Ysh9ITElQDwi0Y3bwBfwIMv4GnxmkcPVbBzw2Hc7hS6UcMBgBBc9K0JBPI\\u002fIlxhonsFLpfF\\u002fFW9WbGhW4NIq1jMxYEjeRSX5JCTFWJ\\u002fcT533H928iqU1K\\u002fNmKGnTuIQakPIzQrh9sUaZGU5oarrtnRl5cZuKYM5nIIMc2duJb9tNe2q\\u002fWRmRKgLepMaqpQ7T6P4WA6k2IAaTJMl0Hwm7ywayLHyrKQ6sYo9V3H1507eittj2Hq3ijyTMR23y0AXkvZtqjl36uYmRs9kc2QZGlv3tycYcWPa8\\u002fjGJ0OIRl1Jo+CceQv4oiqBBhnvYuMNRDhr0jb+9vRkvB47HsBtsP9wHv98bSzfvWoRZgw80m23zU5hf1BlMNi\\u002f4yhrFuzCn+lpJGUK1TOtIsj4GQPYuuYApUerlb0oVUYcqmjnG08sY8zUfvgC3nji1hcIZ8qLgDr44ji6Y2mfA4xFFZtP2S6jOcJVeo3Gy48s5PjhSrLzAg3ygZvcWNMI1YYZPqkn46f3wlyl8tURqnDh6EGHGNrniB2CKghkRHj1w+HMW9GXPl2P890rl5CVEWnSiNCBZQl8vihbdnXg\\u002fmcmpfR5OxGxbfPrmjyypkmMmJvXPh5KzNDw+8wkGVkQjarMrtmTt2EGPXRuX0leVoiaWp8qZdzouk6BhsMlOYSCXtwuK14xtcnwbKnk4KEC5q\\u002fqjc8TS+7WQxKMuBner5iRTlEJZ14kCN0iGPFQVefjsnPWKaOnXXvPyRfQEopJqnbSFuGIzsadHams8YMUrN\\u002feieLj2amz9TRJbdDLrAnb6dPzWDzkVon9GoN6HaMwr46aOhWlaElBwB\\u002flk5V96N\\u002f9GGdP24apZyWZiYRntYlv3PQBjJvetCRUY+zcWMRvrvsPobpIM8Y5iTfgYffmw2xYvpfx0wdgmRKhf+GEDnAAm6N\\u002f7gEzdn12U0pZAPwBtc7cKLE9OfOzq3I0\\u002fjghg\\u002ft3HGXx25uaJP03vQ4qJ93jYs71ExGApecgEgIoM\\u002fxRCvLqyM0K0bZdFSXHs\\u002flkZW9yssJce9EqBg8soku7Cnp0KqV7x7Kmn05ldOxUDtQ3Mkw6DyiO1za\\u002fusH2ZlmqK+jST7uzcUeHlNxLRdUJLp62keycOqIxHY\\u002fbpFvHiib6fv3cK\\u002f216FgudSGlQ6fOxgChS95ZNJDyqgBuV\\u002fLKrhJVrvkcm5snPrME0CwOFefSqW0lMyfsiGcEOgktHk8sXuRRvSNlDff7olx23hpuvHohN165mDb5tSklEMcgmZsZ4twpW3Cqy4IThKNTWFBDt47lRKKJ1YIEbrfFix8M5UhJO7RAwD6vZSKrKqtLOW\\u002fKsi7pO7Qz1\\u002f78LGJRI+UlletdYJoWS9\\u002fdrMbcnCGvBdh1LVuCQyRbhRCGlDJ1XdnPAOeaU4BSYBmwAlgM7LX\\u002flnSolmlhmpZdcM\\u002fCtA0mrzy6iLqacIu6jRCCUG2EsdP6M+z03kps8uU3vIcliMZUueWKsizue3oyRUfzmDtjA+NG7iNS68UwVZ50sk8s5kJGXew\\u002fnK\\u002f8w82qoZK2BbUJxKbCa+tqfbz+yRAg+UahdGIPQ\\u002foWM3H0nnouKiR9uh5XlvmkQRhKT6+oUuWVhZ58U3TSUHfvL2Thmp74vUbSxhJO1ZYhfYsZNehQk3xxTQMZ0zlwJJ9Lz9qA1xb9pVQeAMsS\\u002fPO1cdz3nymEbAt8ImcP1fqRUTfzlvRX8eiepsEtYKswYTdTxuyhZ7fjTdJhTUvDkxGmc7uqhI6t9RJOSXkGz783DuHNavZ9OWL6\\u002fu3HePqv8+y5aqwfYUfNqfU69cLhTDxnCMHaSMr1aUkLr8\\u002fN1tUHCNUpw+6J+srq56JFd7Sknga3Oad97oSeEHT\\u002fHnA6MM3+zECZ+iGF81\\u002fTNXRdUz9dGi6XxrpFu1n58fZ4v\\u002fPmYFkSf4aXuTdMqn80b9sGj6l0JsVVHn3pNLbubs\\u002fk0buZM2t9vHZcix8Jh0uyk6alJswEmiYpzFeELgDLApcnxscr+rBrf2FKbu4s0LkzNuL11luSEZIencpwNVPJBlSxi\\u002f2H8+PP22Rk9sDfmj+I2jqfKrSYBFIKXJrk7Enb8PhiTcs3CUk06mbm6TuYMHyfHc9u80zd4slXx\\u002fHU6+MwTI1AIIJp1lvhpQS3x6C2zsubdvhu0lm0DZJtcmuZPXmLnQHY6BgkmDqd21XisWvjJc5FRkCyaHkOqxfU2HaM5PPmGN6e\\u002fus8\\u002fBnN242c8FhNE1z5gzPJyvGnljZtybSmOsSRA2XEJ+AkEIuaBGsjLR2mowxxa+zfzS\\u002fM6i6ECCX+LqXsDZxHI+u7A8uyeOfpVVSX16G7VJ3ssqNVbFi2FzNm4WrBCKfrGjWVQc6+Yiy9h3TCskw0TUf4OylCl84CE3h8UZ5+YwwLVvWmZ+dyvjVnpUqpjCUvEtnwuSwiMRclZVnNlkyyLEFmIEp2RgRpqbx2l9ukrCybtxcMwu1uWtwQVPpnbdDDmeN3MWxQfWkmKQXS1GiTF6SwoIbyqoBtkGtkPEMZ5PYfzrfbKNGAMKQUeLwxtu1yEleaEjDUW9qH9i1mzOCDxJL4xKVUx\\u002fXqely1dpbKwOf1R3np3ZG8tXAQXdtXcPV5a9A1iUEitxW4PFE++mQwew8VpMx5dwyS50\\u002fdRadOFUmt+UIAlqBdQa2q9544J1K9fsu0eO6hFQyZMDDedDPRIKas4RrLP9jK0vc3c\\u002fez34rPZyoIoYpFdOpZyJQLhvHWU8vJzE0erSmEwDItqspq43PXWnucaShfvqYJXnhwAX2GdmTctAGpLPiJhrgNtiptnTSh26WgmoMzApcQIoyq2x4gRQ66EIKuvQupq85SkyIle7cdofRIFYFMX5MSPg3PhVjMJLdNFhdeN0F9Z68FEegUH4plaXgDYRat6MvLHw4j4Ity3cUr6NihwraKN++yVEEdFkVHM6mLR3wl168NU6Mgpw6vJ2bXOFMlkd5bPIDDJTlkNpP+mZMV5uJpm8DCtgMrxdCwk0k6FlZztDQbtyvalDHYlzx0NDcp9wMl6r4+fwjhiJuAL5pUXHYkn9mTt+L2GkTCnpTVY2L2BqkiCyPMX96f594bgQDOmriNrp3LiCZEyEnA7TYpKcnl7YWD8HiSb3rY89GuoIazJ223i18mPQxpCQryatE1C8NsaPW3LIkvw8PODYf4+JVPmX31ONuP7pyriL6mMsi\\u002f\\u002fvIhbo+LDt3zk9+oyY0llgWTzhnMxy+vayEkW6RMiml6XUBAsDbCSw8tpK4mzNFD5RzafVxVsiHlRuE8+GK7UIUGyJMS3R2DWwsfw\\u002f6EpZR5qN5pKdmlEIJhp\\u002ffi9LMGcdqsgUw4axCFHXLsPzY\\u002fHqFphOuiTJ8zgs69CuOWegC8HUDzYVng9UXZvbc9T7w6jkjUzdyZGxk3Yp\\u002fNJVqOS5AShG5yrCyLUMRjl0dO9ixgmjr5uXVK\\u002fzU1PG6DouJ8PlzaT+miybiXpqquzJywne7djhOL1uuiTsCKJyNMp7ZVzYSoKj29vDpAeXkGbr2eiFQaaoxN2zvVF3NIEXIbirgZ3OcoIwc3srQngVNEwxuIsPLTnjzywumYpkb3TuWce8YWjJiLxBh\\u002faak2UW\\u002fOH8SxsiybCze9rq6pKLizJuygbdsqjJS5Cur+eVkhO4y46ZKRFrg9Lt785zIqjisRXlpOi2MLIeD5++dzcEcJbdrn4PbanVZaWHuarqFpggGjutGpRxui4VhSXV1aEt2lUdgpx56z5q\\u002fr3NfndzPra6O56FsT8AW8DB7bgzbts+ObUzNwClUIOAn3mtP1VEp5PTCERmWaG0FD6QoDgK40NBQkuzamKdF1weaV+\\u002fnoxbUqCi5FQAKoDSIWNWjbOZdzrzlNhS9SP5HCkw3+rrjDO6iqzuah5ydwpDSbiSP2MWfWerujSPJrO7pxol6JbnGsNJtgyJ1a3KS+eozHEyMUduNxWbzxyWDKqgLJubmQRKMuOreriJduprGIigRLEZDKykoyhwhctkGupDyLNm1q41lzmpCYMZ3XPh5MNKYTSFWPTgp0TXLOpK14vS0X0LQsgS8jzIbNXfnbf6bEw2PnztxITm5QnS8SYgi8MfbsL+TjFX2UOy3FZhmO6XRpX8mM03Yobm6vHF2TDQ2h9jvKDERok1tHVY0fXW\\u002fY2VZKidfnpmjPcd59ZhVX\\u002fmBaPCVV13Q2rtjHB8+vwZ\\u002fhQdNEyhJj9ddTY4xGYuzbdpQjB8qpqQwldbNpGkSiFl37tKV9l3z7+Vont2u6Rvtu+ZiGRfmxaq6\\u002f\\u002fRylIpF0D3KSYQ4Ay52hwgkSekKVmKHAo8nvlfr0lo4XQqDrxGPajZiJx9u08maDczRBJBRj1mVjKOyYk1CtwyZOLRMyu0JoE4+9PIGte9rRo2M535q7Ao\\u002fLIhrVmy5i+yV6A1EwNGJ2PrXSBTVKyjJURFyqR7J19PzsILgsvB6T7bvbs9i2cKcSUy1LcM6k7RQU1DQpexy\\u002fv6HRq0spHo9pG7caXUSqaLeqGh9HS7MYOOCwnS+u0lCXrevFhh2pE1c0IQlF3QzpXcyYIQebZO01uJXt5vJmRFj1aQ\\u002f+9u8pRGMaMVNj5IAiJozaQzTcUBpwAnBe\\u002f3gINUEfmf6m8f1qCpWqctbE7eTZpayFkLhcFovW9mLrnrZ43KbtblIx\\u002f1U1fg4fy1EdYJIV+bAsfBkePnhhDTMvHU1hxxx2by5m\\u002f\\u002fYjvP7EMkxT2YKCdZF4g4bUUO8+GjbZvHI\\u002fe7cdoa46hK43rXcghEY0EmbSuUPRdO2EouOc9fzyo4so7JhDv+Fd4vp6ssNRjHShEKIksb7cCXN0m5v\\u002fErXCI7ScV+5w8Rbzz510vjXzd7Bu8W78Gd4WdHNV56tzr0LOuXKc+k6rL+crzRiay427fS+e\\u002fecgFq3thddjMGJgER3bVRAJN9XLndZCAI+\\u002fMIGC3DounL6RqN0myIi4KC7NSel3Vs+h4tgLcutUqKmE1z8eTG0oeWkmdY6G3x9lUO8jkKKrq5Mo06GwmpysEKXlmSnz1xFQdCxXXQunJ5mHtxcMsv3wTZsxKGO8sHXzbXZEX7JWVbYxzWWhuw0+WjiQf7wyHsPUcekmXo8ZLysdSTDiqWKNMT7d0kUZAr3JDYFCSMIxF907lnPmuF12iyYZN3J271RGblawwXVNS8OyBKGwh3XbOuH1NFUHlEHURdnRaj54YTVX3TKd2qogT\\u002fzhfUJ1EbvKK4RqI1SU1pHXNisle3I4ckaWlzk3TOLQ7uOsW7RLzWpCKVtdF4TqovTo357pc0fG57k1kHbCTemRKha8sZ6fP3iFfXLKKzg09p\\u002fGf2i1jm7vDpaU8gzgAtTu4UFtFs19nGCZFm6gJs8wLF79x2I7dbD5U4QmiIZjnHv1OLJy\\u002fSpwAcfXKNBcbgzD4rXXevDKR6MJeJXxqqrWH5+rxIXmLAzdZfLkq+P4z1ujVNCJJjENDY8\\u002fyuGSHLbtbYfXE0uZg64s3wKkQMsOsnx9D1Zu6payiEIidF2J\\u002fSk3EbuSbc9OZXbMe1MqdyrPHjyShxHTsCwNty\\u002fGqg3d2byrvS0upyCwiIsBPY4p3TycEH0mBZalPrquClHWhjw89vxEHnx+ojJ0ug1Vsuv0HXb554T66lIgNIhFXLz60VCiRnOloRWhzJ6yleycIEZCco4lBd06VDBsYBFD+h9mSP\\u002fDDBtYxMhBhxg9bhdD+hYTjaW+trRUz\\u002fL5r60nVBelXed83B4dj9eNpmm43BqWZbFu8a64Vb05OIxo3ivrqCqrRXfp8Vei6YJYzMTt1fnW7eeQletXRsBWcnPnzk\\u002f8\\u002fj3GzxhE1z5t4\\u002faEZENRE8dqYD40cHW3jqM3arpwO4p4m+jmJ178ImGUdlGJpe9uYsvq\\u002fYqbN6Obq8SVKP1HdmH2VeMQQhlbACLhGOXHqlm7cDdL3t3I9k+P4PZkIKWFx22xdksXlqzuzcTTdoIpMCNum\\u002fOqfPRX3hvBSx8M5\\u002fTh+zl70jaEJQhkhThcnM8jL0ygps6bstmgggoYeX9pfw6VZrFoVR974aV+wZpteNpXlE+PvsWIGj9Gkgg4yxK4\\u002fTF6di5j0ZpeaD7ZpLKNU3l2b1EBwZCH7HZV1B7P5pWPhsZruyWDsm1I5szcgC8jQqRWqQ+akGi6hbCLVdRW+1m5ujevfTyEA4fz8fliaHb6aMe21Zx\\u002f5iZMw5Gs6qMNPFkhFiwcyIYdHQl4k1v7ncyzDH+Uvt2Oq6KZjSIWojEXMpowndJOM9Yslb4rsY1\\u002fyewPEo9Hp+RwJa89voRt6w7G49WjYZVkYxoWH720lllfGx0PuW6gUyf4xnSXzp4txXz04loCWT7FoIRA0wXhYBS318XNv72AERN7t0pkV30EJVJKdJfOe8+sovhAGbf8ZS7NNYdImKDH7chU\\u002fYQJnfrY9QtRwS9JfeGfJVBf1wV1NWFe\\u002fcfieot5M5CohvGnzRzIwV0lHD1UwbGiCo4eLOfAzmPs337MjlYCf4ZbTZ5lortUOOUjL57Ojn2F9O1xnGF9i\\u002fF5DbyBKPOX9+Ppt0eRlx3kytlrcQei7N7TnrWbO\\u002fPB0v6UVWUobt5MfXBLgsdjsP9wPrsOFOJxG6oKTTPnODLiSx8MI2boDO59lPaF1aoJYYOjBGiSrh0r0HQlzqp6dA0v5dWhutbLwy9MYOTQAyxf24vDx3LsPm40MfSBIguP26S0IpOaCpUqKqUgHHFTWe3ncEkOuw+2YfXmLuw7XICuqaIPllTSSyji5qJpm2hbWEUk6MPtNtB0CyyNSMzFmtW9ePbdEfH+6Kks+W6XRTDsYcGq3nTvWorHbRAzGobRNlhqAiSqAEZOdjhlPfz4+7EDq179x2KiEYPs\\u002fAADR3Wnfdc83B4XNRVBln+4lbu\\u002f+xy33nsJBe2yk8yUwpbV+3ngttcJ1kXwel04DR3qaiJ07lnIjb8+TxF56kqvDaA2AnX9AzuP8dwD8\\u002fn5A5fj8bqa2ygc3Xw\\u002f8Gqy+nItUqZ9kkBx8eXAcBIquDqBBwd3lzD\\u002ftfXNZvIkgxAQDsaoKq\\u002flwM4SDu4qweVqvoCjg7rqML6AajkbDkYJ1kYUZ\\u002fe68Xhd8UmRlkRqboQrWw1d2CGYdjPAH137Ceee8ynr1\\u002fXkT0+cSV3IQ9cOlQzrd5jte9txpDSbyho\\u002fXreBy2U2G+Menzd70py87JYskSr4RPU8M02NvOwgf\\u002frRm7QvqCGaEMgjpUDTLYIhD3c\\u002fPo3Vm7qiu5oWpnQQibqwLA1Ns+wGBi2PW0p1f6\\u002fdNNI0NSJRndqgl2DYjddjxtNBpRTxhz1jzG5+cPVCNA103eRISQ4PvTCB0ooMTEtTP00Nt8u0Q1VTRO7h5LJDTlaIb1+6nNNG7G22kIXKCIyxfU87fvvILCJRV8o6AeBIDpL8tln88C9z6TesC1pCosnx4kpeeHABJUWVDB7bnb7DO5OVm4EQEAnFKD5Qxur5O1i\\u002fZDfRkIHLo6t1GIqS3zabybMHc9n\\u002fm0pOQWarC05IS7L8w63UVIVASl58ZCFnXz6OuTdMammjcAj9+0KIvydr8tAaju5w86uAETQqBeXwm6ycAANGdlVWx1ZcNP5wtq9g86p9LNi6EY\\u002ff1fxiFOqxhCa46pbpFHbOxYyZ6C4tfm9pyfh1QYLuQVZuxtz3BMIVQEorToQu3WLU4IMU7Svk\\u002fqcnKVeY26S4JJsDxXkIIXG7LLICYZwqo62JeRAJ\\u002fxOi5R3VCUv1eQwMU9CzSxkZftUTvaHVWmKZGlkZYX749YVs3NWBSLTpa3SISLO5n5Q0S1zOGExTwzBEvPGC870QEl234pV26t+RQBMW+blBRvQ7jNtlEjN1tUCERLdFf5c7RveO5fGNr8X5c8ZsqRp+ol5aBpJHkFqmRm5WmMxAhGDIg6YZpJ55lXKameOn79BOaLpKPBGouIzCjrl89\\u002fcXUlJUyfplu\\u002fn4lU85tPs4x4oqqC6vIxoxEELg8bnirZq69Cpk7PT+TDpnCN36tVNjOgELuwQqS2sJBaO88eQy+gzpxJxvT0paBSfxsVFEvgN40mbMTSzYzY5A1r+RLOBToGfChT9XvPfsKh751Vt4A41zgBtC0wRBO3Hll49ddQJ3OACLZ4EZRFn5pNL\\u002f3DHqyrK4\\u002fYFz2HuoDW6XSZv8Wm68ZJntvhFxv2Vr4SzCk9FkpF15plfnMtUKqpnabS6XieaNkTJDzUFz1J3suObEjybXEfFgGCPsbiDtOCpFNOaKc+kTgbSv4dKtBsU2NE0mLd\\u002flVPC97d5z2bSrY8qov\\u002fjIhSAaNfjjC9fTd2jnBm4rKWXc6u0gFjEoO1bNod3HKSuppq4qhATy2mTSY0AHuvQujNuJnMi7E1FnnU1hxbxtvPDAAn71j6vJaZMJslmJwGG81wkhnkzVsqklju5w8++giDxlmWZnYk4EDkGUH6\\u002fhpUcWIVqhw1iWCny45MYpSEtiGFYDkSvJXezF2QnTPR6r\\u002fCOEWzWb110m0Roff\\u002f7nmew+WEhmIEJt0MvF0zYyfPh+ZDONHpqFrm4br8x9EojF9KRVVhw4fcytmIsT24aahxNVdqKbVKL04MDRq136ZyhgKkUj\\u002fRzqgh7CUbftIrS\\u002fx66J54uRmRFV762FDU4IMA2TTxfvot+wzg2kBCEEQld12S1Lomsabq+L9l3zad81dXisY6U\\u002f0bJRDpFvXXOAh375Jr94+ApyCzNbkggcFXop8HRznVxSEnpCmea2wP9DFY9w9vsmueXOxDSHuDhtHyZtS\\u002fuHL6zh6MFysnNbKiohqK0OM33OCPqP7BKvy9UipAHCBW1PR5R+hIUqBRw1df7+nyms2dKVrECYuqCXoX2LmTJ2N9EaX1xPbC1U+CkcOCrxugQd8sAwTo6zt2aDEUK22Gv9ROF2qecwPlNxYYV4LPkJcvLmruN2GWzZ3YVlG3rgdTc0igqhNpe9RfnKDtCCK1NdFLauPqDOT3pvgZ6wruOFI2XDTUZoglQ16FqCQ8ylR6p58BdvcN1tZ9NveJeW9HKHFkPAj4UQ0ebyT1qjo98FdDzh0SeBaKSs6rrgeHFVPPSwxf5ppkVWrp+Lrp+krtfqG9udQtrNILbtPjyuEDHDzd\\u002f+PYVlG7qT6Y9gWqpow5wZG1oV9pkMEnC54W\\u002fvSbYclnz0CzuU8rOt8y8FKjUWnloAI7rDsB4Qi57cJvVFwSnzPHzAYQb2PoZoxK6dzLwN2zpx9xPTk\\u002farb3i8cskW7T3OkQPldOiW36LhrL5w5OczMQ6Rh4NR7v7uc0ybO5Ip5w3FNC305iVch5vfJ4RY3lKX1ZSEbgfHuIHdqEoxUB8NdxnQn1aEtTqQEvZtPUJ1ZR2arhGNGCAlH7+6nsqyWpVv3gyh67pGTVWQ879xOt37tcNKHQaY7GmUgc7fHV\\u002fXMZRtWcIDL85k9eaOZNgVXoMh1Wl1eEJq6IlCSsAF3dsI7n9fsvkADO0OkUjTyrOnGiwJwgcLt0kWbIV\\u002f3SqwIvDFVjw6Obhdqp59Y9nc6Zs3pO9RurSv4NDR3LidJRmklHi8Lo4eqmDL6v2K0Jv3VX+ucIg8Eo7xuxueoe+wzlx8\\u002fUSlVjZP5I4KvRr4bSoDXCJa4uiGEOKuxC+klB2Am1p+DOd4xRUs02LLmv0U7yvF5XFhGCZ7tx5l+9oD+PzNE7ljNGnTPocLv3m6umYrt5hEnUkAGw\\u002fP5rH7fRwo7UqGP4S0BIalijhePH1jo9TQk4AJUweBzwOLtsPQfmCFv6Qmd58BTq37yf3hr+9BbQX43apS7alG61Kqd6bQcHSxsJuMzCATRx7k328WthDYpIjd5daZ\\u002f\\u002fp6ps0Z0aoYjpMbs2wQAObct7YqxG9veJqO3Qr49h2z43nxzcAxhtegDHAhp7dhcyc1e0U7rl2TUupSSre9c9wDtKOVpiZH9NNdGuddcxo33Hke1912NjfccS79hnVukBec8hoahINRps8dSbsu+fGwQyfNUKUaNvw4vnzNrgJyvLiSx3\\u002f\\u002fLr\\u002f92T4OlXUhwxdSFmJN9TSbNXEH3bqWNkgNPVHoGkTDMKQH9OsAC7ZKZER9\\u002f\\u002flq0p8\\u002fdA1kCGYOFdSEYNkO0H2pq7F81XBKKjX+6LrAjESZdslIOvZoQzRsNGv5tiyJz+9m65r9fLp4tx1P\\u002f\\u002fm\\u002fLSGEcgHbH5db5+ihCn5++eO065TH9\\u002f94MU6t+WaoKtEncpPdSllvicihFTq6LcLrdhL7aai88pNysTk14YQQFO05zryX1+HxupsNsBFCEIuYdO3dljk3TgZIKtYkmxvTMNm8aj+r5+9kybubKC2uwpfhxufRMC0R77bSpX1VytTQE35GCR4PnDdK8Ph8SVkVFGRDrGkX5FMKQkDUgM7toXd7wcdbJDNHf1lC7OcFATKKqbWlzdhvMPdbx7j\\u002fp3vw+EE2Y1wUQvVXe+a+jxk4uhteX9MKNCcL5zrHDlWw+N3NuD06Xp+bcDDCa48vY9SUPnzv7otsybdZ46\\u002fjx3EBvxdCPGMb31q1Fbc2BFZKKV3Ab0gR5w4tBwdodj04gLf\\u002fs4Kq8joyc5pvlIi9w\\u002foCHor3lpJXmNXgJViW2jxiEZNwMEpVWS2H95exZ0sxe7ccoeRwJbVVIfyZXjKy\\u002fUhpxfOfJSpA5KJpG8nLr2256UAroFJJ4cJRkt+\\u002fCmv3wawRJ2DM+CphO0UuHQ\\u002f3vQe\\u002fuxRcOknzxU9JCA2MEFrnuUitPTPntmXdwq0seWcTWXmBlKmnKn3Vy471h3j50UVcdct0ZQzTWhHp1PKgANDdOrkFATw+D4\\u002f\\u002f7l32bTvCdbedzTd+OkuprS373C0UvT4H\\u002fNIhctFK\\u002f2+Lj5HQceUi4GWIp52e1BRICQvf3MADv3g9ae5u0kEKVRTP43WRW5jZ4G9OxdhIKEZdTZhoxFD6uCbQdSUiuVw6ltUwnVMTql75oF5H+PXN72G3yv7McFxskRic\\u002fivJgI7w3I8E4VolHp\\u002fKsCR4vbD9IJz5e8kbtwrG9IFIlBYLMXz1qI\\u002f2cZ32CuQORQCVx+v45Tf+yYEdR\\u002fFn+ppnKoARNbn5Dxcwfc7IeIJKa7PNGiPRDecwwMd+8w7zXlnHtT+ZxdlXjo1Lsy0QuYEi8veBOSiXGq0lcmgdR7eklF7gDhSBN2xgIkEiiQRjvPXvFWxbewBLNk3gVHnegpqqELs2FgG0Irm\\u002fHkIo6+ThvaVNvkc4urimur7EC0GCYZgYsaZym5QSDcklszbi8Z2cOy35OCFmQCAbLhgFj86DIyXQLkd9fyoTjACiEejVBQZ2ghdWwJghYEVO7XEDipvHqhAdz0fkqg6o0pLkFmZy671z+d0Nz1ByuJJApjfluhMCdI\\u002fOQ7e\\u002fSbguwrlfPw3ghAnesRnpLg2EUn8+XbKbh+94i+qKOn7yt0sZfUa\\u002fuE7egobgEPl84DIhRNCp8tTKmQFaIPQEbn4d9cksDVNT7UR7wzTZuGIvuzcfxuNxpTRoaJqgsEOunVhyYoSVdFISw1PtTaclaEISNf1MP207w\\u002frvIxr2tapmXOvHCTIKc8cJ\\u002fvSWZN5GuHo6WLFTm2CEAMMCvw8m9hfM2yQJ1whcOkjr1PKpN4E0QQ+g9\\u002fgWanGpVsiWZdG9X3t+8fCV\\u002fOn7L1C05zgZWb4mEh44iUUCdMFjv32X3ZuPcMX3ptK2c579d9lwvSWeaBM09oagawLTsNi5sYhXH1vC4nc3cdqMAdz1\\u002fHUUtM1uTQx8ok7+ITBXCFHTkr88FVLeySkbBeSh4ty7UC+2p0SwNoJpmClFEVWd5KtV+qRl4vZnEjBWYSy5HCk+3zBSUM\\u002fp8cLpv5TkB+DtnwqaaehxykAFkcDWgzD1t5IPfy4Y3hvCoVNZ9dCRsUr0Thegj3q03qdrwyGqY0UVPHDb66xdtItAlg9d11KWZgYI1oZp0yGHaXNGMvHsQfQY0KFVoynae5xNK\\u002fax7P0trPpkBwXtsrnmJzOZ9bXRajwtp6w61nUNeBW4VghR3Ro3Wio0S+i2xf33wG00E+f+3wkLKTXM9d\\u002fHPPQCmie3edPsCcK0wBeAJz6S3PgEbLob+nURp1y0WTI4rqoxt0mumCi49SKI1p2qQT8CMHF7\\u002fchRzyJyhtjiR8OlKu1+Z0bM5PkHFvDGU0sJ10XxZ3gRmlAu20Z7vaYLjKgy8uYWZtG1dyGDx\\u002fagx6AOFLbPwe1xYZkWwdowx4oqObDzGDvXH6JofxnFe0vJzg9w1uVjuPSmM8hvlxXX2VtQARxDtwAeBL5n0+FJE7kzS02QQOR9UNE32c0d3\\u002fBcOPW9xiqQSAgN6vbAyjlEQ9UI7fPj7JYEtxuOV8Lwn0suPx3u\\u002fZYgVANfSCOszxGmBb5MuPNZePdTyaq7BdHwqblBqWaRgu88qTHj6ke46OwpmKaJrjflSYnemh2fHuK5v89n\\u002fbLdGDETf4YXTdfigVuJRjKhqQ0iFjWwTFUe2utz4\\u002fW7MWMW4ZCKroxGDCzLIq9NFhPOHsx514yj50AVPW6ZsoXkK6CemZqo+PW\\u002f2mP5TEQOLRvjfgHkcALc\\u002fPOMA\\u002f5ioTSTmL8XJe5z6BT5D1HcJx8R1\\u002fjqAqJRaNcOLhkHLy6Hn18ABVknn+jypULC1AHwxHxlhe\\u002ffSXkSTiUbg2mBL0PywkJ4+EODr9+S0ezxQoi46thvRBfufOrrrPhwGx+9tJYNy\\u002fdQWxnC5dHtdmB6PWFK7Lpyrrjx14yZRMOGXdBUiUD9hnVm9NR+TL1wOF16FwL16aotEHlistgB4EYhxPuO+vxZiRySUGQCNx+Laozoso87hV7xZ4ezu9fU1DJuxgXcfeFhzh9nEA6Kz00XdfTdzQdgxM8lT3xbcM00iARPVTFYwVEODZT4\\u002fo0pcOscQahK+dVPBUip6rtXRz2MvLWKabOv4fH7\\u002fhCvJNwSGhvDdm8uZtXH21m7cCclhyupqw7ZPc5U\\u002fTfHeafCWCWBTC9ZuQFyCjIYOLo746b1p9egDmTnZ8TH10xZ5kQkMtG3gO8IIYpO1uiWCg1G4ZSNsgn9HeBs1Ps+RV7vSSPpRuXsxlfddCvz3n+ZzfdmkRdvBvj53FiissLOuUtSXgsrfi+IxU59jm5a4MuGGx+QHC6H138isGL2H0+BsSv1QvDTpyweWZDN5iVv0LlzF2QrCd1BMut30Z7j7N9xjGOHKqgorSVUF8E0LTQhyMj2k9smg\\u002fad8+jWvz2de7ZpOC5TralWRNUlGtzKgTuEEA9Cvber1Q\\u002fRCjQmdMeddiXw9Od5o1MRlqVcMPsP7GPolIu4dHSQJ24WRILW58ZxDQv8AXhjOVx8r+S9nwlmjoJQ8NTW1Z3gmfmbYO59kvV3Cbq0gegpsElZFnh8krV7vYz7aSV33\\u002flLfvy9G1Pp5k7cR7PBpVZCbsSJQlr13YFaQeAW9WI6KC7+MyHE1kRGe8KDaAFNOLqdyDIa6IFKST0F9u+TgiNtZQF\\u002fQ7kJne\\u002fjcES9Bx97gu\\u002f+8A5evr2AOeOChOtU15jPCif01dLgtF9I2ufAWz9X3LGRF+iUgpOfXh2EUb+Q\\u002fOJC+MZ0QfQrVjukPTjN7WHqr8LUuAex\\u002fP0X8Pr8dmUc0fhwkeT\\u002fzd\\u002fDToqS0ikoAc5yUn+rJ+oTiJqTJBRVBfaguPiz6pGkSwhhtPZiJ4pTdJl9vpBS\\u002fgxVQKOJUVHaNbRNI8a0i65k14YVLPpjFn3axQhHPh993XG1PbdQcsX9sOw3gtP623nqp\\u002fAbsCzwZsC3HpQUlcH7dwrCNV+tP90xwP31LT+3\\u002fjPM0nef5rRx45Lp5g5hvwycAbShPsrsy0RjAj8CPAQ8IISo\\u002fCK5eCKSvjI7NdX1f+Djtotn3AestCe7wYQ6HMDt8fK3P9xBrZXFtx+V1EZ0XK7PJ6FDE2BG4fzRgoFd4J63cYz+pzQsAAHTBwl2HYXDxeB1f3VJLqYFPr9kze5MfvRkObfdcj2njRuHaZqNidxJod4AfA1VKOUoishNWpnx9RlhUa826Cg9\\u002fC\\u002fAaUKI39lErgshPherektISuhCCEvUtz3+b\\u002f7EUBk+YeC7QC31RpD6SdA0TNNkxLCh3PfHX7BgZTU\\u002f+o+GptsC22dc2E78e0YWfG+W4K11knU7weNTi\\u002fdUha6BGYazhkMoBgu2qSo0X0VgoyXB45YcrwlwxX1Bxo07jV\\u002f++Ht2paGknNwAfmCv5Y+BqcC7KKLTqCf4z+tpnHXlXFezP0eA3wNjhBA\\u002fEkIcsJmQ+LwNbs3hFDYHfT6wjYsuIcQaVGKOE5DQAJquY1oW1119Fd++6QoefbWcv77jUrnMnwdXVxmUXDEBOuXB395XeRinqo4ONrWYkJsD43oJ3l0PfAW+dEui6sELF9c\\u002fEuVobYCn7v8DXq\\u002fadRrp5U5k2d+FEAvsoim6EGI7cC5wA7CZeoJ3bDkGDYk\\u002f2Vt3vrfsY51znM3F4d4aSpq4BRghhLhdCLHXlpQ1mwl9qdvl\\u002f3lCBxBCGPYE\\u002fxV4HSXCNTB8CFRCg5SSP\\u002f\\u002f2V4ybPIYfP17D0wvdeDM+e1VUh2iysuGn58PTiyVrdyjL9qlaxQWI17S\\u002fdDx8uEFSVaN86V8WV3du4\\u002fFp\\u002fPhpN28sDvHMw3fRr0\\u002ffZCK7k7O9DviVHXBi2Zu9ZovJjwFjgG+gkkXCqNfjoiHxQz0xOwSN\\u002fTenO7BzjiNB7AeeBC4Cxgoh7hNCHLM3G82WLr6St30K85PPFwlJOh2BhUAvkmTjOUadXbv3cNacKyk+fIQXfxLgvHEGodrP5hJTDQYgaMD42yS928LrPxMYtm\\u002fjVHwZlgSvB\\u002fYfg0m\\u002fltx7teCSSRAOfvGFIyUqbN2bIbn79Ux+\\u002fkgpf\\u002fzjT\\u002fnJ9\\u002f9fMleaw22DwGQhxKeNQ0dtw1eD2udSyl7ADBTx90Wtj3ZAqjC7EFAGlAAHgb3AVmAVsFMIEUm49gkVh\\u002fgicSqurS8MCXECpwHzAJ\\u002f9p4aWHHsRrVyzltlzv45pBHnxVi8zRpoqVv0zuN2U1RieXwiX\\u002f03ywW3Krx4OnrrZYZYEtx9m\\u002f06SG4DnfvzFW99VCyk1Vw99kMHN95Vw03eu5qG\\u002f\\u002fDHOyZOI7DrwbSHEP5oLOklG8Pb3LpR1Ph8IoNaH85QSxf2DQDVQIYSoTXFtHTBPBQJ38D9F6NAkx\\u002f5xGmYLxeEQ+zsffsTcK79Nhl\\u002fw\\u002fC1upo+0PjNnB6Wfn\\u002fkbqAjB8t+Az6VE+FNRZzct8GXB\\u002fW\\u002fA39+XLP21oDBb1Zj7IvR1O8kLbwAe+dDPTX8v44LzZ\\u002fD8Ew\\u002fj9am9uRGRO26zR4QQN50IJ3WIXl3yxPzYtpToSIoSFZd+yhB3Ik5RHvLFIcE49wTKGuoY5xq8IF3XMU2T2TNn8PhDf6aqzuKK+2J8uFbDn\\u002fHZrOWmBboL7rkSNh+QPPQBuPynbm02TYAMwwWj4UglrN0Lwv3F6OkqRhy8fsl9b\\u002fu46b5SZkybwNOPPYDP709WtNEpzrAQuCVBL2\\u002fV6Gy93bTtOMIxmDlGvCQf5+8iwTtl2v8\\u002fRd\\u002fg\\u002fyCh2zDtBfFL4Cnq\\u002fasNoNuW+CsvmcM\\u002fH1HEfsm9MV5foeGzif1kFruuQSQM4wbCd88S\\u002fPoVya4D4DtFDXNCKENilwIY20vwyir7+8\\u002f5Ps5cen3wx9d93PJgGZOnjue5px4hMzMzWVCMI65vB6603agnVEstEY5P2\\u002f6YKT7WqU7UyfA\\u002fSej2S3Je1I3AB6Qidk3DME2uvGQu\\u002f37sPiJRyZX3xfj3fA1fwC4bdRKvXNhBNHdcBFl++OEzSv4Up2gNeMNSPvTzR8F7G6WK1f8cU50sqVyQHi\\u002fc+ZKXnz1SxtRpp\\u002fHKv\\u002f9BQX5+MiJ3os3KgcuFEIc\\u002fj7zt\\u002f6v4nyR0iBO7EEJEUdFTC1ELp4me5rLF+K9dfCH\\u002ffvSvIATX3B\\u002flj69quF3Kkn6iorwmVK33wgL469WCt1dI\\u002fjMfPP5Tk6trtgPpjAEqn\\u002f7jTarBw+cR8GNaYHcb5of\\u002f9vDrJ8uZfcGZvPbsU7QpKEhF5BrKOHa5EGK9bGUjg\\u002f9V\\u002fM8SOuA0p9CEEFXAXGAFSXzsUK+zX3rRhbz6zOO0LcjkZ0\\u002fWcdOTOmFDid0nUNQWUBwsEoLLJ8Kc0+HW\\u002f0gOHlENIL7isnpNoAm7C01P6JQneGe9\\u002fFxWj2GHtZYGNS67X+evz5Ry5dUX8NyTj5KTnZ0qhl0Doigi\\u002f9C2uXxpUWb\\u002fjfifJnRoQOylwAWo0lnNEvusM6fy5nP\\u002fpP+g7jzyWhVz79XZe0ylo56I3u7ouBbwpysFpoQf\\u002fFuqIqbi1BPhLQm6G84fDfO3Qk2F4sQnsylZUkku\\u002fgzJlkM+zrtb8MrH1fz09u\\u002fy78ceJCu5Tu5spTHgG0KI17\\u002forK\\u002f\\u002fK\\u002fifJ3SIE7suhChBEftSWiD2caNH8cGrLzBr9mQ+WFTOzLsEH6wV+DLsGPFWcndNqFrqPTvDX68SvLYEHp8n8Z6CIrwQQAwuGgN7jsH6A6C5TnxDMi1w6eoZn1\\u002fsYfIdIdbujvHIQ3\\u002fg7jt\\u002fiaZpdnWWpOK6BL4phHjOfmdpIm8F0oRuIyFM8ggqJvo9WrDGd+3ciVef\\u002fhff++H17DlYx\\u002fn3xPjlszp1MfD5W8\\u002fddU2Vl7p2GsydJPjxP2HrfvCdYk0OBWAa0Lc9DO0Kzy0DTsDNJm0u7vNLqiI6t\\u002fzbx+V\\u002fKCc7tx0fvPIUN3zzG3a99SYuNIfIa4GvCSGeTovrJ4Y0oScggbNXolrfPEcqP7umYVoWAb+Pv\\u002f3x9zzx0D1kZ2bwu39Vc\\u002f49Oit2KO7usg11raEF+f\\u002fbu\\u002ffgqKo7gOPfs3d3QzYPkyAIIsVHgaIiBBUUgUJKMICWFseOrTp92VJfjeNjqlYr4mt0rGNHVMaC9qFi2zCoqMEqjjgI+MKSSKOAdEKSqkma92aT7O49\\u002fePcy94su1EwhDD8PjNLMuzdzb5+93fO2XPOT8ODl0NWCK5aqensNgN9g6W\\u002frhT0xCEzF75zmuLVCk17GwS+5DFq7cniIdhQmcHcZfDw6kYWfb+ETeVlFH17Vl8z3nxAC\\u002fADpVSZZPIDJ4GexMnsSikVAS4DlpNYuNArv1pOE9O2bX522Y94de1qZhdPY+M7zZTcZ3PHah\\u002fNYTONE\\u002frOzu6usWNGwiM\\u002fV2ysgLvLIJDRv2spvy4FEIeFhfB5K2yuAivT1FFPJe7M9hsS0rRELG5+OoO5S9uprInzwAO3svaZpxh1\\u002fPHptoFy9yusBuYrpcolkx8cCfQUlFMXHjOl8VrMcsMoiXXM3mPNenbbZsoZE1m\\u002f5m\\u002fcsfQGYnHFsj93UHyvxdrNPgIWpt+t0\\u002fffLR90h80IfOkixX1lmpfeMd2AwdKEt3wQ64Lp42FYLpRvB+z9p8K63ZYhmaZgwdNvZTD9d5r7\\u002f9rIjHOm8Na6Z7mp9FrALCRKsUDFnfH2PlCilNoqmfzgDcKZ1YOHMw\\u002faDfwLgBXAKNLNj7dtLGcAaev7H3DL0rt5840tkJnJ4mlBSks0s04zo+rdXeY2yXXvzT5l0B2DomWa6gbYehecNEKZracGwanZ1mb22nVPaZ5\\u002fF6p+rwj6TVb3zm7Dhg07\\u002fDy4Dta\\u002f3Ur2sHxuLf0FpVctIZSZ2ddmju6z\\u002fAewRCnV3NciFfHlJNC\\u002fhLsayZkL\\u002fU1gFTDLuXr\\u002fopNOU96yLKKxKI+v\\u002fBMPLl9Bza46Mguy+OGMAEuK4kwda24Z7TbfJVsqsaDFbJkEFXvgvNs1U06B8lsUAT\\u002fo+OFf+OLugbfhQ03xPfDP2xRzJpoikoEMwIZNH\\u002ft57DVYvbED4nDJxQv47Y3XcfqpEwDS7b\\u002fuLk6JAkuVUvdC\\u002f1QqOdpJoH9FnlVvIeBOTHPeHahLu\\u002foNYG9tLfc\\u002f\\u002fAjPlL1Aa10zeSNzmV\\u002foY0mRZvo4TSBktmyKxZzZIMpZohmCVa\\u002fBFX\\u002fQXLVI8egVpiWQ3AoYaG4N+KZ2mHqb5vxJsOImRWudYssuiyc3KtZsbsfujDNzzlRuvu5qFswrdl6XlPuee7dA\\u002fg9wjVLqFaf7hAT51yeBfgC0py611noeZqBuLL034\\u002fccD7adCPj3tv2L5U+s5O8vlNPV1EkwL8S8yQEWn21zYaHm2AJzL\\u002fGoKX+klJlxd8UKeLJc88iVimsugC6n4OFAv3nuGnGNGWn3F8CVD2nKt8OvS\\u002fyUvaPZUhEG2+bscyZT+qufcslFi7Esa99uuymyuHdn3jLgeqVUjTTV+5cE+gHyblqgtT4WuAuzMAbSZHfbGUlzP+TvfvAhj696ihfXv05TTSNkZ\\u002fGt0QG+e5aPhZNtJo\\u002fR5OYDPSa4mjpg\\u002fj2a93ZD2Y1w0QxFJHxoC0C4a8JtZ6ar5XMWsQTN9fWNPrbV+HjoRZs3PooSb41AVpDZM87ilz++lEULSgiFQuZFSZ\\u002fF3X3WvgBuV0r9EQ5NpZKjnQT6QfJ+GLXWF2LWtk90rk4b8EolPvDbtley9qWXeW7NC+zeXQORKP78bM4d5+e88TD3dE3hiVBQoKmug6I7NY1heP5GxZxC6Gw3zXxv\\u002fBzMG+r9ZswdTLN8phosAfNsoj2KuibY9Ili8y4fm6piVFaFIaAYPqKA+XNnc\\u002fklF1M0a+a+55dmsC15n\\u002fPnMEG+2zv4eRBPQ\\u002fRBAv1r0L1r1WUB1zuXPOeQlFVobds2HVInwze3tLJ23cu8\\u002fNrrbNryLvXVDeAP4M\\u002fyc\\u002fLIDKaPUxRP1Lz3qc1j5Zq8bPjL1Yrzp2GGrcCzx4m5uJs6msfZ+++7Jwa3DjrJFx90d8Cn9Yo9DT4q98LrlXHe\\u002fzRKW1sMwlFCIwsomnEmxXNms2jhfMacMKrX8\\u002fOe0DyP0BvgFcAypdQa57WULH4ISaD3g6TsPg74DWayTZDEBzzl13EKevVbq3bu4s233mbd+lepqNpJXd0X0NYFgUzyj8tAWT7CEcjLVlw0FSaeAGOGa47Pg5whmqDflFIK+Ew\\u002f3qdSfMetE7PVemKKnpjiizaoboCdn0NlLVTX2+ytj\\u002fHfz3og0g0FuZwwYiiFZ5zK9xYUc+7Us5kwfrz3Ndg3kt7HQBuYTRUfwmz71KoHqFLJ0U4CvZ8kbziotZ4FlAKLPYe5M71U0m1TBsne2lo2btrKtooKtldW8sH2Kto7OvApTbwnDlEfBC0I+An4LTKDFvnZipxMCAU1AT\\u002f4fYpAUpsiGlfEbE24K05Tu01DW5xIOGaqTKBAWWApRo4ewVmTJnDmpNMpnDSJaWdO4bjhw3rdV5ppq9B70guYDSJWYfZbr3Wet2TxASKB3s+SvxLSWs8EbgBKgAznsOQs594W7bSzk5u+nZEI9Q0N7Ph4JxU7qvjo31XU1NbR3NpGc3MLLW1thDvC0NVDovHgeXu184+7ssTyQVaIvLxc8o\\u002fJoSAvlxHDhzH2lJOYMH4sUyZNZMzo0eTn5eH3+7\\u002fSYyR166UOeBZ4VClV7dzHoNkG+WghgX6IJH+YtdbnYGqA\\u002fQQ4xj2M3qPP+2X6eNxG+dS+\\u002fnyy+oZG6hsbafxfE62tbbR1tNPc0kokEqGnp4eubjN0n5ERxOfzkZ2VRW5uDsfk5JCTk8PQggKGFuQz7NihZDmj5Mli8fi+LkaazO1evCeuPcATwHMS4IefBPoh5PY\\u002foVeGHw1cilkKe17STWIkanYl35czqJb46bOsfn0D43GnoaFUrxLEaYLbbZV4q5P2YPbLXw2sVUqFncduYdYNSD\\u002f8MJFAHyDJH3anyut0zBZWCzH16L28i9b2G8hz7mNfvXDviUA5Q+mppsp6jzMBrRK1vlPPrfVmbEiUJHJ1YiqVlAGvKKUq0z1ncfhIoA8w79x5z\\u002f8NAeZh5tDPxJQHSn5vkov5udf353uoPT\\u002fdrO1P8Tc6MfvrvQmUK1PA0twwURBBmuiDiAT6YeIJiF4ZT2udicnuszGBfypwIpDT192xf+b9KpK\\u002fQU\\u002fnM8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x7Iqh88kBVCUFaKr2M6wfgazEGNkOgHFxSg0XxaaxKfOjvjHD49Zhdy26vCu3VwZQJipBB89dYOvnd\\u002fNgiFrbjw7iMT3HRtAxOb7GBN3md\\u002fDTFbsHJ9hU0dRnX\\u002f6DvSNNRa26v3mPV81BZYNnznjk7173d2SQ0Izb9oeI4wey1ASPSDBwLQiQSTCgUuaUhJPnZm2nIrum\\u002fSyW7CVZCICdpzimtvauXuf+SxLXC8eu5fubCG\\u002f\\u002frneqSA4gDqN\\u002fiF5gSrtjm09xiiv+PwONrRCNl3O6UgkRRs63D54u86nNuez9kCuoXkC0rzK3pj9kMQEv1gggU4qsLFQOaCYxJq+viILBb0Hq\\u002fNXQWJpGTJ2jJX3djKy6vKRCwjxeMRwf98uJ5rzspQKWnKA6jfPoQwQe\\u002fPLy8BkIyZ9k3V81CwNEhJnnmjoD\\u002f563a1eEPFlpJVUvFhR\\u002fE0Icm3Q0j0kY3tc7B3\\u002ff+B\\u002fvbLMcmK4kyAS45PKkcjHTVwKRbR7yhiu\\u002f8YuMqsj59cWOBDN7Syvs0lZgtKjmbmGJtbPt7I2+YnGIxvPiKhVNA8vNC4vxvSFvGIuXqBkeKxiCH7d+\\u002fqVP95d5csVLRlS+5zFJ9RsA4zpkOnWj+ERN8\\u002fEP1e0Ft3rbr7SH8j0h4Zld4+lfhTazliSqPN2w6LSzsuSEvR9wrQ25\\u002fduyKlQXs9kLX2SJ6R3PN8ng\\u002f+vIWeosa2oORoDpsQ4e7\\u002fM4ZDJ9r0ZF0iltjpEsHVEIkJnnq9yLLNFcBUoYlHBK7SZv0eFbRkXa65qc29f0HBAvK2zX84jomVx9Na9uQeHagIiT78EP3e+3\\u002fmMrhWQn7xRRtTS60Bk+CRBjKYEkw13rv\\u002fWRST3RXxzpXwjhUF9DPraACm2xbc\\u002fHiPtKUXW2oLorYxbPX+XxKxIBUTJGOSTFwE\\u002f\\u002felcjwuuPvZHFff2EZPUWNZhvxvPyzO3V9opmGMje5RpGISx9U4\\u002fcxiPvEFJkRWSMHvn80FQTNjaiySUYnrmjj5lm6XC3\\u002fQov6xqmRZkoVC8XHH4e9V9ytU13eAkOh7DklfyexLlJ0RuQ5oBJr7vRqBJu\\u002fd\\u002f38Thsy2EEICUohe2Vj13x3+vxoWsLYdvvLH7u2\\u002f9H6FwJRuEZiQVCl7c81tacifiglSccGbGyqUHLOd60LEEpx+SJwXV5SwV5ZprpE0pCVNGUkq5R1IY1QCX1NwIWbD8vVlHliQDyLkJjZYxGOCQkkhheDzv+lQ\\u002f1hVkhGLpyou78eUe\\u002fbLS4fW9Z0gJPrgMJCaDV5G1QDbpzDSthk4BJiFqZQyBWgSQtQBtd57rJqUvmrc\\u002f2+tdZ\\u002f\\u002fM7CCXf2+I+z4mXvEq1Y3BhKRXfmqP4TAktJ0WjAVpPj2PV2AIBoRpOOCmrikNinIJAQT6iymNllMa7KZ2mQzpdEik5Q01UhufKyHlm5FzFPXZ4yJQFQQ05JnlhTVn\\u002f+eE1KyKuJyeQW2EK7HB42Q6DuGT2xfJRyI0AKYAxwKTMcQeTqmocAMIUQtGOnqvwCUUiilfMIqequc0u+9j+Suq6sTtbW1JJNJ4vG4SCQSwbv3\\u002f+CVSCS2k+paa6LRKLbd+9jL5TKO41AqlahUKlQqFcrlMpVKmXK5QqVSplgo0t3dTXd3Nz09PXT3mP+XSmXQGtefgPqejXIF2ivQ3kd58G9p77xUn5JMbrRYvqWCEFDxMlqk0JQLmmhK8PyKklIaOx6RP8uX1RbM8sRfl\\u002fe3bYToh4M+Id+DP\\u002fqCvOcBthkLjAcmYVoGHQMcLoRoFkLU+UTWWleTeEeGNRGPx6mpqRG1tbWitraWhoYGJk6cSFNTE42NjTQ2NtLQ0EBDQwNNTU2k02lisRixWAzbtrEsC9u2g\\u002f\\u002fvTSilPPJXTwQVSqUSnZ2ddHV10dnZydatW9m8ebN537SJ9o52erp76OkxE0Q2m6VYKu\\u002f0XEKI4Pcko1CXFExrlnpzh2L5lorwsu3+iGneMBD8m2GCg0IABy\\u002fR+0vN\\u002foPCwuQyH4fpAHKMEGIWRkqbWmeetHR7E6J9qS8BIaUU8XhcjBs3jtmzZzNjxgymTJnC+PHjaWpq6kPo+vo9T5vur+L3XwL0364a1dpG9fuO1vlDQalUoqOjg87OTtrb29myZQubN29m9erVrFmzhjVr1rBu3Vp6urspFks7YKaZhy0r+H3rgGVa67eA14BXgTfZPi3VJ\\u002f1BL\\u002fEPNqJLelXx\\u002fg\\u002f9SOAIjKQ+DZgrhEhJKRFC4DjBUtBndjBZzJgxg+nTp4uJEycyffp0Zs2axcyZM5k5cya1tbXEYjF2Bl8L6I\\u002f+RNsV8YaDmNXXNNTv+38mhEDuIhrHdV1KpRJbtmxh9erVrFixgiVLlrB69WrWrVvL+nXraO\\u002foHHBfy7IQQqCUcrXWm7XWr2JCX18BFgKt\\u002fXbZ2fM\\u002foHGgE716Qdh\\u002fRh8LHA6cD5wuhDhESlkD20lFf1DIuro60djYKA499FCOPvpojjrqKGbMmMH48eMZN27cTi\\u002fEV+d9MvRftw8nSUcS+hsR\\u002ff9LKXc5CXR1dbF161a2bNnCsmXLWLx4Ma+88gorV65UbW1tulwu+2t0E99TdU+11iuVUsuBZzDpqisw3Vt87GxsHHA4MEdXbyHB\\u002fhbZ+cA7gJOBM4QQY32p40nsgNSAGDNmjDj22GM59thjOeaYY5g7dy6zZ8\\u002feISl9qX+wkHi4MNCyY2cTQUdHBwsXLmTRokW89dZbvPbaayxcuFB3d3f7SzAb+kh8tNYrtNZPA88Cj2Gi6Hz44+WAlfQH0gistpD7kBiV\\u002fJ3AJUKIw6WU6SpVPJjNY7GYnDNnjjjssMM45ZRTOPXUU5k8eTLNzc3bDThfzd6RdA4xPOhvb9jRfS6VSrS2trJkyRIeffRRnnvuOb1ixQq9detWvwidwNhNkFLium6b1nohcAfwNL191uEAJf2BMDIHIvg04L3AhUKI04UQsmpm9x+gVVNTI04++WTOO+88TjjhBI455pgB19OO4wQDbFfqZoi9j2rPRrWVvhorV67k9ddfZ8GCBfztb39jwYIFqlQq+cZSaVmWP4nktdbPAI8AdwNrqg5jcYBY70cz0X3G+VasKHAe8CHgPCllop9KLgBxwgkniBNOOIGzzz6b0047jcbGxj4H9a3ooeo9etDfDtB\\u002fQlZKsWbNGu6\\u002f\\u002f34ee+wxnn\\u002f+ed3a2uprc5Y\\u002fWbiu26O1vh9D+EeALu8Qvut11IbYjsYR3L+F71TgI8DFUsp5Vb5sBeh4PC4PO+ww8d73vpdzzjmHefPmEY\\u002fH+xzQJ7dvYQ8x+uEHJQ201l+5ciWvvPIK99xzD08++aTevHmzXzte+mNAKfWW1vrPwG\\u002fo7f1WHWsxqqT8aBrV1T5vgBOAq4H3CyHqLMvCcRz\\u002fAch58+aJCy+8kAsuuICTTz65z4F8VXw0Entnbq9ducQGg53dj9F2r6rhq\\u002fv9pX17ezsPPvggDzzwAPfff7\\u002fu6elRAEIIy1vPF4DbMYR\\u002fytut\\u002f1gc8RgNT67\\u002fGvwY4HPApZZlJb21mgJobm4WZ555pvjwhz\\u002fMKaecQiaTAba35o6UAbsj1xP0NTyNlOutRvU97X\\u002fd\\u002fvtIXfpUr++rSb927VruuusubrvtNl599VWfxNKyLJRSZa3148CPMWo9bL98HLEYWU9ge1RXCjkE+BrwASmlLYTAdV0HsGbOnCmuueYaLrnkEubMmRPs7DjOoPy1ewP9ElC2+\\u002f\\u002fuGPaUUriui+u6KKWCGPVCoUC5XKZUKlEqlSgWi4HWUiwWcV13wLh3P5y2\\u002f3s0GiUSiZBKpYjFYkgpsSwreB\\u002fqfeh\\u002f\\u002foH+v78mA\\u002f\\u002f6fFccmPv86KOP8rvf\\u002fY4777xTl0olF7A9wqO1fhD4Pr0SfsQb7UYq0atVozrgy8BnpJQZAKWUC8iTTjpJXHvttVx++eUkk0mAYFDtS0nYL7590JNLLpejo6ODbDYbxIt3dXXR3t5Oa2sr7e3tZLNZP6FEZ7NZ\\u002f2+dzWapVCpaKSW01jI4v9ZoZaSsYsehsD6El30mhUAIabqkCqP1CCmJxWOk02nS6TSZdJqU\\u002f\\u002f9Mhvr6ehobG2lqaqK+vp5MJkNNTQ2ZTIa6ujoaGxupq6sb1D30J7HqJdW+JH+1dlI9mS1ZsoSbbrqJ2267zTfgCcuyhOu6Cvg9cB2wyNt8xBajHIlEr75Z7wX+SwhxqLdecgF5\\u002fPHHi3\\u002f913\\u002flwgsvDAxr1YNkb6GazP4g3NH5XNelu7ubzs5ONm3axLp169iwYQPr16\\u002fX69atY+vWrbqrq4vu7m6dy+Xo6emhXC73fx4DFbEY0ZBCkEqlzGRQU0NtbS319fVMnDgxeE2dOpWpU6dSV1dHJpMhnU4PSOqBrOn7YgLwJ+7qZd7KlSu56aab+NWvfkVbW5sLWJ6lvhP4AfBDoMQIle4jbQD5+cX1wPeAa6WUKKUcwDr88MPFF77wBa6++uog1dJ13b227vYH2o6stz7Wrl3LihUrWLNmDWvXrmX9+vUBoVeuXKmVUtUhlkHIZn\\u002f4bh7fc9BP7c9hkjZyWus8pmb5BmCagLnKbCwOi9XQZEdpcUosLXVjykfsKFXEfHd4vIYGK0pJKRAagSAqJOsqedZXCghTjQJbCCSSknbNEYNpSJhCEkoNaXjX1dYyecoUJk2cyOTJk5k2fTozZsxg1qxZzJ49m5qamgH3c123j71lbxLft977423NmjV8\\u002f\\u002fvf5+abb8ZxHFdKaXnP6jngS8CLbF+3YL9jJBHdl+THAzcLIY4UQiilFLW1tfJzn\\u002fscX\\u002frSl4KHvzcIvjOXDEBLSwsbN25k7dq1LFy4kIULF+olS5bolpYW3dXVpR3HqU53DTCAYSoHZLXW3d57B6ZaSovWug1o916t3qsHQ2zHeymgEzhbwE0aptZaEd5bM0Ecn2ggLW0ez23jNx1rkQjUDsab\\u002f937aifyT5kJ5JQblHeKC4vfdqzl8dw2bCFwtOas1BjOy4wjpx0qSpPXDkWlKGqXHuWQ0y455dLjfb7NLdHmlntL7yhlJoRdIJNKUVNby4SJEzniiCM44ogjmDt3LlOnTmXy5MmkUqnt9qkm\\u002f97Q6nxtzlfr\\u002f\\u002f73v\\u002fONb3yDRx99VAPKsizLdd0i8G\\u002fAj7zdRowqPxKIXm1Vvwy4QUpZ70lx+6yzzuKHP\\u002fwhRx55JGAMbNWFE\\u002fYE1euy\\u002fmq\\u002f67q0tLTwyiuv8OKLL7Jo0SK9dOlSvWLFClzX7\\u002fXZl9S+sUpr7XoRV5uUUqsxcdVrvPdt9BK5nd6gjKHiQgG3acjMi9fqK+omi7F2nLxyiAuLh3u2cGfXxkER\\u002fZhEPdfWT+szIgVwQ\\u002fsqFhW7sITA1Zpr6qdxZrqZHuViVQ2d3vWFP5mZz37Q8haLS9lg\\u002f8NjNZyYaGCrW6LDLdHhOrSrCt3a8WYwhXZ2HJOSyWSYM2eOnj17NvPnzxfHHXccRx11FE1NTX0m\\u002fGqr+nBLfF\\u002fD8w1zN910E9\\u002f4xjdoa2tzbdu2vAnn98CngG5GSOnpkUB0f9b7F+An3rpHRaNR+c1vfpOvf\\u002f3reBb2YZPg\\u002fuzff8JYs2YNCxYs4IUXXuDJJ59kyZIlKpfL+cEUgYXGn9U91Xq1lx+9QWu9AljmvVYBvoq9M\\u002fgTXX\\u002f0Z6efrFEBLpKIOxTafkeqWV1WN1lKoKRNSeWEsHgi18LvO9ftlOjCO+hhsQyfbZwVnERiSkJ9v3UZ6yp58+OF4AtNszkkmqGgXWS\\u002foeMvDxSQkhaP97RwW+e64OFOiST4YtMcGq0oZa1w0ThedZqidtnilGh1S3S4FbpUheXlHrY4pT7P23X78MUFdCaTkUcffbQ444wzxHHHHcf8+fOZOnVqn2vbGwFRvk9eCMGSJUv43Oc+x2OPPaaFEC5gewk0H8Asr\\u002fY72fd3KSn\\u002fBvwr8H0ppeu6rpg4caL85S9\\u002fybnnntvH\\u002fbEn8BNRql1EuVyOJUuW8NBDD\\u002fHkk0\\u002fqZcuWqU2bNkEv+YK4aCFEUSnVqrV+y3XdVzDFDpYDm4Ct7FxFq1bpqyvO7Kw0W39IDMlPkYjfK7T99lSz+4G6KVZFK8qA5ZFaIBhjx7yT7FpVlv3z3hG4uGTdSnChaWlTJ6O4aGQgu\\u002fvuo4Eogg6nwkPdW3z5ji3gstrJZKRNhyp72oAIJpCMiDA+HkcBW5wSL+TbKLkuWqnqm6qFENoja0EplVJK0d3dzdNPP83TTz+tAD1x4kRmzJghzzzzTHHBBRdwyCGHBPEU0Cvt95T0Ukq01jiOw+GHH86DDz7Iv\\u002f3bv4nrrrvOFkI4UsrTlVIPAv8ErGY\\u002fq\\u002fH7U6L7JL8G+KVt28pxHDF\\u002f\\u002fnxx++23c+ihh+I4Th\\u002f\\u002f5u7An819ciuleOqpp\\u002fjb3\\u002f7Gww8\\u002frBcsWOCH09rQ6xpTSlW01gu11q8Ar9NbzKC4g1P5k2b\\u002f\\u002fObhMMj4N6AZeF7AzJi01FebD5GT7ATFKgmrMUazTrfC91qW0eGWETuQ6r60PyPVzJV1UyhqF4HAQpDXLl\\u002fbsoiSiUVigp3ga82HYAlD6IGeiEKTFDZ\\u002f7FrH33q2BSr7O1LNfLBuCnmt+qguGogJiYvm9WIXL+bbWVDoHOha\\u002fWdkAf8PE4t+EjBPCHGMEOJIKWXct7F4cAAxb948eeaZZ4rTTz+dc845p8\\u002f6fjjGFxDYdQB+9atf8clPfpJKpeIIIWwvS+5cTDHL\\u002fUb2\\u002fSXR\\u002fTX524EbLcvSjuOI448\\u002fXtxzzz1MmDBhj9bi1eson+BvvfUWd955J7\\u002f\\u002f\\u002fe\\u002f18uXLlW84EwZSCFHRWi9TSr2mlHoIYz3dglG\\u002fqyGqXtBL6r1ZjdSPKfixRMxUaGdmJGWPt+KUtOqjRgugohVj7Bjz4rU8lWsZcF1QPbTnxWv6HkNA0XX7jMi0tElJm7x2tlPbwdyAqLBYW8nxbL7NjGitabJjnJ8ZTxm9nSk6LiyWlLI83L2FxaXsdtfWj+4W8BfgW5h7vQBAa53QWjcrpY7DJDMdJ4SYrbVOaa1ZtGgRixYt0j\\u002f96U\\u002fdqVOnWhdffLF43\\u002fvex3HHHRdkKlZre7sDX7q7rss111xDXV0dH\\u002fzgB+1isegIIY7UWt8CvMe77mqtbp9hf0h0\\u002f242A09JKQ9RSrlz5861HnnkESZMmLBHqnr17Oq6Lg8++CC33XYbf\\u002f3rX1VnZ6dfkQTbtlFKlZRS\\u002f8AMoBeBl9leYvsqvO8b3dcPyT\\u002f3+cD9EuEqtHVOeixX1E0hqyp9DGPgL+YF7arM91qW0emabaov3Jeap6ea+EDtFByPiBqICMH6cp7\\u002fr2WZCboBjk808KnGGeTUwET3pfnvOtfyZK4l0BaurJvCWakx5PpNEDaCB7u3cF\\u002fP5qCK7ED2BOHV4dPwEGbN2xEcwlxu\\u002f2WPBRyNCZU+X0r5dillbb9SYOLkk08WF198sbj66qtpbm42XwxDLIY\\u002fdm+\\u002f\\u002fXauuOIKAEdrbWutvw18k\\u002f20Xt9fRDfSScrPa62d2tpa+8knn+TII4\\u002fcbZJXx7I7jsPtt9\\u002fO9ddfz0svveSnqPo5yFpr\\u002fbjW+iEMwVeyfWHIgdbR+wO+5hDHlEQ6BjNIrMtrJ\\u002fOuzFjyOyFeXNisKHdza8daNjp9569mO8apyUbelR7bR580klmyvNzDdS1voT2in5Uewwdqpwwo0TUQQbLZKfCd1mWUlJkeJkQSfK3JqPu91wUJIflLdhP3dm8Gdkjw\\u002fkuOTkw5qLXAn4E76X021YFF\\u002fUk0DjhXCHGOEOJsIUSTr\\u002fEBztixY62PfOQj4sorr+Twww8H9tx1W6lUiEQifPe73+VrX\\u002fuasixLua5bAc4CXmA\\u002fqPD7muj+DzwC+IeUMqaUErfccgtXX331bpO8er\\u002f777+fb3\\u002f727z00kt+FpL0LPmrtNZ\\u002fxKzvXu13iJFaItif\\u002fS8Fbo8KqRTacrTmQ\\u002fVTOSPZvENVGsyPiQtJ1nVYUsqyxSkSFZIJkQSTIwma7RhF5fZZc\\u002ftEX1rq5ketbwWfXVQzgfdkxpMfwOKu0CSlzZ861\\u002fGItzZXWvPh+mmclmwKrtFMPhZvlXr4YetbAYn73\\u002fBq3TZjlgx6m1MS3vYPAP+OsZcMNBFXGz77L6dmAGcDH7Is63itddQjvNvQ0CAuu+wy+eUvf5lp06aZ31WlHQ4F1fH9F198Mffdd58rpbSUUo9hqh0N9LP3KvZ1toc\\u002fQj5hWVZcKaXOO+88PvShDwWz6FDhk3z9+vV84AMf4MILL9QvvfSSa1mWlFJKrfWzjuNco7WeD3yDXpLbVdfjMjJLBynMkvmTgJgXrxUZaewWjla7nKYlUNSKpLQ4JdnIRTUTOD8zjmPiddRZEfLKq3HXbz\\u002fDkL4yNiVsb0IYeJnQ4ZT5R6HDiFStmRRJcHS8jlK\\u002ficESgpcK7bied2BHJE9Ki3+uncQXm+bow2IZZQuBgB8LuACzPt\\u002fRpOyr807VIS3vtQq4CTjNdd2zlFK\\u002fEkL02LZttbe3yxtuuME97rjj+O53v0upVPLLTu38Jg8AX\\u002f23LIvrrruO+vp6S2uthBBnAefQ68XcZ9iXJ\\u002fMNcGOFEO\\u002fxjGXiK1\\u002f5SkDwoapKvsHt4Ycf5m1vext\\u002f+MMfXCml8KKUXlZKXYKZwX+NiUaT9IagOow8YldDADoKh2l4W420OSlZLxxvPdvtOoN6eOammyi2klYUtSKvHRytd6gJAMG62Ud8J5NwREgWlbrocCvBRHBispG0ZeNW3WILQU65bHVKO\\u002fzBAClp87nGWbw7PY7\\u002f7dqknsi1WGWtbtbwRd1rMxksfOK79D5\\u002fiSkS+VGt9XzHcb4vhGi1LMtqa2vja1\\u002f7mjrrrLNYsGBBEBgzVPhLyDlz5nD11VejtVZSSg18lP2wZN6XRPd\\u002f3JFCiMlaa3XcccfJ008\\u002ffbuMocHA1wB+\\u002fetfc9FFF7F27VrXtm1LKbXFdd1PAqdi1PQSvdLbb380kgnuwwJw4CLAnhlNqxnRdDAXtrqlAbzZA8PosiJY8A\\u002fkB\\u002ffhq\\u002fFOP6InpLUD8WlaGr+YbweMGp+WNscn6ikrNcBkokHs+PZr4H01EzkqXscfu9ar10udloV4DlODwBf4u7u+9Z+\\u002f76qTGB\\u002f3V7TWp7mu+0sv30A+99xz7plnnsmf\\u002fvSn3ZbsvjX+6quvJplMStd1hRDidEzrLr9+3T7BviS6\\u002f3SPF0JoQF900UVBAsdQ4EvyP\\u002fzhD1xzzTWUSiUtpbQcx3kQeBtwIyYirXqtNhrIXQ3PiChOA5gbq1H1MkrcNIqh1a14Un24hYO5TU6\\u002f25UQ20\\u002fExg9uscHJs9aLoAM4Kl5HoxXd7hgukBQ2TXL7Apw+g6dGk5yaamR1OaefybcKATmJ\\u002fheMN6S6adueorqzjoWJZrxWa\\u002f1u13WXWpZldXZ2qve\\u002f\\u002f\\u002f3ccMMNuyXZfU11\\u002fvz5zJ07VwKuEKIZY6OCfSjZ90dJ09l4RtUTTjgBGFoJJD\\u002f0cPHixXzsYx8DcKWUQil1I8ZXuYK+Eny0ERx6B3STRs8SwMRoXNpCMM42ablbKgXa3RIRIYf9B\\u002frr7GoMJNE1GlsIVpR6KCjX5LQDR8RrkGKgrDnjwjs0lqE\\u002f\\u002fAnrxHgjaWnzVrlb5ZUrgAcqJlhpb7mlfCnvLwkewqzh\\u002f+DZedzPfOYz3HfffX4g1ZAO7nuDTjrpJCBYnh7pfz1cP2JX2OdEF0LUua6Lbds0NTXt7jH45je\\u002fSS6Xcy3LspRSt2AMVv4MPRoleDUEQAQmaZhWZ0V1RkalBmZH0wB0K4cWt+z5x4ef6tVra4FZh2+\\u002flaCsFUtKpl2qqzWNVozZ0TTlAazzEkFBuxwZr2OiHUehsRDY3vkarCjHJGqpKM2acl4AWMhn2DeSz2+uaQFtwJWu694MWEop9YlPfIJt27YF6vhQIIRg+vTp1R9NGq6LHiz2h0Q3gzgSCdblgzXC+e6OZcuW8dhjjykhhKW1XoupQFMd2HJAQGBNAyL1VkRlpIWLZlo0Fayw15RzQWz7cMNRva6vqJADTigWkFcuqyo9wWdTo0ka7Oh2a3wfGohJyRV1U2i0TOy8g6bRinJV\\u002fVQabPNZq2tygSRiNfs2nsGl1936aaXUM5ZlyU2bNrm\\u002f+MUvAIYk1f1JoV+\\u002fgOSwXOkQsM+JrrXe6tUy04VCwf9sUPv6N3jZsmV0dXVpryzvk5ic7YGCJUYrNIBCHwJQKyOkZYSSchljx2i2owCsKuf2yugXAqoDYGPSCmLcqy\\u002fQEpKNlQJdrhNMNXNiaZTe8eQjgLJWHBLL8K\\u002fNc7imfhrX1E\\u002fjX5vmMDdWEwTb5Izajo3cuBd+4q7gk70C\\u002fF+gLIQQDzzwgAaGZFfyhVg2m63+uH9Y9V7H\\u002fpDob\\u002fnqz+rVq3erRHF1kwVGt4q+U2j0HIBGO4otBBVt1NsJkQQAm50iPWpwbrahotqQlhASG9HnTms0NoI15Rxg1HgBzIqmd6lSCUxKbb2McnqqidNTTdTbUYpaYQtBSSsqXjJNBJnd+dH2Gvz05EVa641aa9nR0aG7urp2K95j6dKl1X8uH6ZrHDT2h3ttgf\\u002f3X\\u002f\\u002f61yEVBvC3mzJlCslkUniGuXdg4uaDOPYDAL5EPxygyYoJ3zgWEZKpHtFzymFLpYg9zAa5\\u002fsa4mBhYoksBmz2fuEJTb0WplRHUICZv4wrRdCuHbmX8+v4oKGmlK1oJoFyiVBmmnzVU+N7IZiFEvRBCR6NRkUgkhnQQKSWVSoUXXngBQGgj2V6pOsc+wb4kuj\\u002fRL1BKrQDEgw8+qNra2gatCvkujnnz5nHMMcdIrbUrpZyKKc7nG1MOhOZoGkhrmCyAsZGYUGikAFcrxnqW95JWtLkl7GE2yBn1ukqiSwtLSHRV4oufytrq9ga\\u002fjIvESQjLsxsM7jwS0cevL4SgpBRlI9F75N7NCtzV5SngM0Cd1lodffTRIhqNDlg+eyD4mucTTzzBqlWrXGFqoy3HpD3DPrQn7Ws\\u002fugW0a63\\u002fYlmW2Lx5s\\u002f7Vr34VVJAZLKLRKF\\u002f\\u002f+teRUlqAEkJcBfzE+zrILR+l8J\\u002fJoUBdVEgm2olAwiqgwYoGiSJdytlO2u4JzHEEZd37PJLCClLFei9SkHNdut1eHjbJKAlp7dHoNZVyXF9177Z6K\\u002fTsqyWaHy7rAB\\u002fDlIRStm1bn\\u002frUp4ChR3DeeOONfo8BAdyHSdCpTp7a69jX0s\\u002f\\u002fYT9TSmUBed111+kNGzb4aaO7PIDvyzzvvPP46le\\u002fiuu60rIsLYT4F0xW01jMQxpqqORIgfT+OQpIjrcTKiVt4ceGK62pl1Ginrsrp9xh1\\u002f8EBGtkMBK9v7\\u002feEoK8csmqXs263jK2hB2VrtoVNBoLSU45qqBcgG21+85w5cfE++GyXwB+FolEtOu64tOf\\u002fjQnnXTSoBNd\\u002fByMv\\u002f71r9x7771amvJJHcB\\u002fe5sc0Ektvmq9Wmv9Q8uyREtLi\\u002frMZz4TlPgZjArvk\\u002f2\\u002f\\u002fuu\\u002f+MxnPoPjOMJT49+HiWG+mF5V3n+AowUm6w7xdjARcfEqkvnuKZ\\u002fcFa2CVrHDiVIV0ZPCwq4KgNFoJJDXpvKrf+46O+Ilq+w+pICtTkk7xse+fIMpcb0317KCvrnt04DbgB\\u002fZtm1VKhXOPfdc8Z3vfCcoOLkr+JNBZ2cn\\u002f\\u002fIv\\u002f4LX7EFgqsOuZT+4gfeHxPMzd37guu7LlmVZf\\u002fnLX5xvf\\u002fvbfuvaQZHdc61x\\u002ffXX4+1rKaVcy7JmCSHuxuQrH0\\u002fvA6xOaBipkIBOwESFfrdEcEg8bZl1cS+B+hu7hpMF0guC8SQqAAnL2q5whUDQ4zrBs7KEoMGKbBdRNxQIBI7SLCp1Ce\\u002fvl7yv9oaa648HjdEA48Bngecsy7pCSqkcx+Giiy4Sd9xxB74RbldE97VSIQQf\\u002fehHWbZsmZ+i+jKG6NVZuPsM+4voYGbqDyul2qSU9n\\u002f8x3+oG264Adu2ByXZqyuBfOMb3+Dhhx9m3rx5luu6Wmutbdu+RAjxEkadP4u+CQ02A9RfHwEQgC4jPqWhYVo06c6KpkXRKxflJ5z0eNlnYGquDffIKXtZbj788Nf+Cao5bx2vveuok9HdDuBRaKJCst7Jq0XFLgl0O6h7g6+HDxLz\\u002fP3xEAWuBB4TQlxv2\\u002fYE13VdpZT86le\\u002fKu644w7S6fSgpHl1XfkvfOEL3HXXXdoTQF2Y2oh5DiKiQ2+o4Rta649orStSSvGpT31K\\u002ffd\\u002f\\u002f3dA4MFGILmuy9lnn81zzz3HN77xDdHQ0IDjOK6XFXeplPJhTEO8q4CJ9DZB8LWL6tz0\\u002fQV\\u002ffXiU9gxAZ6fHyLiQfUa5JQRbKqVgDV1j2YO2cu8K\\u002fs2oaEWpyhiXEX3TTf1tS1XPJyIkNdLG1UO\\u002fFnNeszS4q2ujqmgtLMTvGZ7qqdX56HjHcjBhqJ8EXpVS3iqlPEVrrRzHUUcddZT18MMP853vfCfw9OyK5L4lvlKp8JnPfIaf\\u002fOQnyrZt7fUn+BjG0u63a9rn2J9qrB99dK\\u002fW+qNaay2EkJ\\u002f73OfU1772tWB23JU13m9j5LoumUyGb3\\u002f72zz99NPis5\\u002f9rJVKpfBmZ9uyrNOllL8RQjwP3IDJU0\\u002fQ++B9r4Cv3u9L4vu5+jUS8QuFrjsmXsfxiQZRqKqcqtFEvDJPGkOucXbc80EPz+VKIUzOukdiW0hqPJU8aNDgvReqJoO4kCQte8ijWHmJMTEhub1rg7u4lLUFrHHR32b3nkFvNm6vau4b2CLAOzCdgJ6XUv7csqy5SimtlFKTJ0+WP\\u002f7xj+Wzzz7LOeecM2A\\u002f9f6oLkfe1dXF+9\\u002f\\u002ffn72s58pKaV0HEdqrT+J0Sr9Z7xfsL\\u002fXqy5Gmv5Oa\\u002f1+oEdKKb\\u002f73e86559\\u002fPqtXrw5m1F2p8l49OFzXZe7cuVx\\u002f\\u002ffW89tprfOELX7BmzpypDd+Vq7WeYtv2J6SUfwPewDTHOw9opHdA+NLeolfN31vwZ\\u002fmERNyq0Cc02zH3strJsn+Aio2g3SnzerETgQmNnRpJUtmDdXF\\u002fSAR55dDtWdOjQlAjI9tZ0jV9iV4ro0NipX+8lLTJuQ43dax2HuvZZgnIavgQpkWV78veFXyp7RvV\\u002fJx1F4gBZ2CqC\\u002f1DSvm4bdsf1VpPVkq5ruuqI444QvzoRz+Sr7\\u002f+Op\\u002f\\u002f\\u002fOdJpVKDsq77GqdlWbz++uucd9553HXXXa5t21JrXQKuBX5J71Jhv2F\\u002fq6s+fLX1DOA3UsqpSil3woQJ8mc\\u002f+5m46KKLgMEX7etfvnfLli3cd999\\u002fPKXv+S1115T5XLZhGpXtexRSq3QWi8CHgaexHTY6O\\u002fa8Z+8v87a02QL\\u002f3cnJfxewcUZabufa5plzYikqJbmLpqMtLm7axP3dm8C4J3psVxeO4mi16FlT+FXcl1ayvJ9r15cnRXh\\u002f445nO0s\\u002f0JyW+c6nsi1AHBkvJbPNM6ivJNrMTfLZKzFpUVeubxe7HTvyW5mq1O0BKzT8GHgcQZW2f1Dyz6H3P4ZjAPmARcLIU6TUh6BiUrzx4abTCbFscceK6+99louuOAC6uvrgcGNsepy4gA\\u002f\\u002f\\u002fnP+frXv667urr8HmxtmN9xHyOgSwuMHKJD7w2Zhan1fpantqsrr7xSfutb32LGjBkAgy4i6Uv46vrwzz77LA888AAPPfQQCxcu9NU6CxC+IVAppbTWrwIvYYoQvuy9D\\u002fTA\\u002fNJUmsGT31ctXWC2RPxWoU+ulRH32obp1uGxmqCgohFNmoyweaXYyS\\u002faV1HRioS0+FrzoYy1YlRQw6K6+0R\\u002fsdDGTe2rAZgaSfJvYw6lovvWZY8JyS0da3gu3wbACckGrq2fPiDRfYJHhcRG0q0cFhQ71HP5NpaXery4AfEXhf4CZl1evZYVVS\\u002fFwJKxDjgROAE4QQhxshCi0S\\u002fn5MEB5MyZM+Wll17Ke9\\u002f7Xo4\\u002f\\u002fvjgAINp5tCf4IsXL+brX\\u002f869957r4Kgb\\u002fpLwMeB1+jtDrzfMZKIDr1kt4GvSym\\u002fAiSVUmrMmDF885vflFdddRXptMnJHoqE79+Gp6enh1dffZV77rmHp556Si9ZskQXi0XfuCyB4MErpXJa6y1a69cw5H8N4w\\u002fdiOl0OhCq14rQd+C63o99n4brFYwfF4m7H62fZs2IpPtUTbWRxKTk7\\u002fl2bulYQ1kbpfey2sm8Kz2Wwk6qwA4VGrPWvr97M\\u002f+bNVrD8ckGPtaPwH7q6i\\u002faV\\u002fFyoQOAU5ONXF0\\u002fbTuiKzQRJBEp2VQp6hfzberFfLvlh84KeEXADxTchSHFrsjRgDGkzcGQ+0QhxCwp5RhM7ri\\u002fzNOYiDbmzp0rTznlFHHJJZdwzDHHBNLbJ+5QJXhrayvXX389P\\u002f3pT3U2m1VehKZWSv0Ys0QoMMJSpkca0aHvDToeuM627dO9mdk99thj5Re\\u002f+EVx2WWXBTd+KHW4B2qwqLXmpZde4sUXX+TJJ5\\u002fkueeeo7W1VWmt\\u002fQAf6RtlfFuB1joLLNdar8JUtVnivVZgClHuTF0ba8G3XbOG45h4nfv+uslWvRWl4AWgWAjiwqJLmT5mj+W24WoTsnJ6qpkraydTGSZre3AfMJL6xioCX5AZz8U1E\\u002fosD3yi\\u002f3fbCl4vdgEDE10DCSnZ4hR5pHsbrxQ6g7W\\u002fgEcjWD8v4\\u002f7vDi4nAtRgQoHnAnOFEDOA6UKIOUDEf95VBlsHEOl0Wh533HHinHPO4dRTT+Wkk04iEokEBx5so4b+BC8Wi\\u002fzqV7\\u002fif\\u002f7nf1i6dKnC6xXguu7rwNcxpahhhJEcRibRoa9qK4FPCCG+KqWc7D1U59RTT7W+9KUvife85z19OrMMttNGdcvk\\u002fsuA7u5uFixYwGOPPcarr77KsmXL9PLly6uXqOC5a\\u002fyyvp4kcbXW3V5X1eWY8sKrMY0YNwFtEt6lTF3yaSlp6wsy4\\u002fSZqTFSY\\u002fzXMWGkX145\\u002fKPQwSM9W9lc6W2+cFZ6DJfWTNrtMNNdQQLf2vYmm72GD59smMnxifo+9eONxV\\u002fwo9blLPWqy5ySbOTDHtHBPMC4lDyba+Ou7Ebd5VYEsNZC3GGhby7DW94pJ2FcnuO89xnea5YQYpqUMiWEifetUsOhdyIVTU1NHHnkkWL+\\u002fPni5JNP5rTTTmPcuHHbdWIdbBvl\\u002fv36stksd911Fz\\u002f5yU94\\u002ffXXXQzBhVKqU2v9I0wgTI7eJceIS50eqUT3UW3ImAl827Ks9yilUp5kdY8\\u002f\\u002fnj5iU98Qlx00UU0NDQAfftjD5b01RbU\\u002fti2bRvr1q3jjTfe4Pnnn+fVV19l48aNuqOjQ5VKpWp1f4f3U5g+6FkNkwGOSdS5F2YmWFMiCQraJYIkKiVtTpkFxU6ezrWyvtJrC6yzIlxUM4HTkk1UtApie4cLGtOcscUp8Z2WpeSUS0xYfLl5DlMjyaAls79tRAi+3\\u002foWK0pm5eITveQZECNCcGfXRv7as1UDSMQWjb5Hm\\u002f7ws4QQ04BGIURaCNGAV3WlSmOq9rT4thTq6urkmDFjxJFHHilOOOEEjjnmGKZOncrMmTO3+01DaZc80PJu48aN\\u002fPa3v+XWW2\\u002fVvgT3ElNQSj0NfA143jvEiDC67QgjnejQV7oDHAt8Wkr5Aa111BsMzvTp0+Xll18uL7\\u002f8cubPnx\\u002fsvDu9sf1B5q\\u002ffBpos2traePPNN3nzzTdZtmwZK1euZOXKlaxYsUIXCgVt27Z2HEd7Z7S0d6+nRZPq3PQ4cVSizktLEVjAxkqRFwttvFTooLWq7nlSWpycaORdmTE02\\u002fEgNHW4H5zfbeWlfDs3ta9CARMjCb7YOJuUZeFqtiP6d1uWscorPNFLdJe4sLi9awN\\u002f69lqCkYKAabyr\\u002fAlquu6\\u002fQOifHdYYHybOHGimD17tpg1axYzZ85kzpw5HHHEEcyZM2fA3+A4TjC5D+ZZ+8+4v0B47LHHuPPOO\\u002fnzn\\u002f+s29vbXcD23bdKqfuBmwE\\u002fas9mFJQQHw1E99HfqDVXCPFZKeX7tNaN3qDRmUxGnXzyyfKqq64Sb3\\u002f725k4cWJwAN8KvyPyDoRqFR\\u002fYqfrnOA7lcpnnn3+en\\u002fz4xzzw4IPBYSbYCc5KN+vjEg0yLW00GoVmZTnHc\\u002flWXit00aN6VdNxdpwTkvWckGhkvB3DRVPWA9VJHx749dj\\u002f0LmeR3q2AnBsop5PN8zYrg2TT\\u002fT\\u002f2raUtZ7WcUqykavrpyIRPNqzjT91rd\\u002fxqTxSpFIp0dDQQENDg2hubhbTp09n5syZHHLIIRx66KE0NjZSW1tLNBrd\\u002fiDeJOFrboMtYOK3Vu7fqderQ8gtt9yiX3vttaDbrjdOil6H3Z8AT3u7VHsCRjxGU962f0N9hi7WWn\\u002fCdd2fAO8RQnzIsqy53d3d1iOPPMIjjzziTp48WbzjHe8QF110kTj77LPJZDLBA65W73c2SPp\\u002f55PeN+oFRh6tWbJ4MX\\u002f84x+5\\u002f6GHeON1U1vgkGiGU1ONYl68lhppGguVtMvSUjdP5lp4o5Tt0010TizNSckG5nttk5yquPO9RXITGSTpdp1AQgPMiKYQQoIeWCOtHuFKa2JC8laph\\u002f\\u002f1\\u002fPw1mRqampsYN24c48eP919y3LhxNDc3M378+OC7nblLlVJ9DK67O1H333fbtm385S9\\u002f4f7779dPPvmkzmazfhSwZds2ruu2KKX+APwR+HvVYX01fURL8WqMJqL7qCa8AJYCS7XW1zuO8x4hxFVCiLOEELH169fzu9\\u002f9jt\\u002f97nfOhAkT5LnnnivPPPNMTjzxRGbNmtX3oN5Mv6NBVO2Tr1b13lj0Bs8+8zR\\u002fuP12nnn2GVDGEn5CsoGTE40cEksT85R0F1ha6uKxnm0sKnYFPyQiJPPiNZyebOaQeIa4kJSUS145+LXY9jYsAS1uJZDQApgdTVHRg\\u002fTRC4EC7s1toaRc\\u002fvnSS7nhxhtJJBLsqvySrwn5RPYnVv99d4jtW8v7T9SLFy\\u002fm+eef56GHHuLxxx9XXV1dfpKT8NVzrfXTjuP8BbgVaPF2rQ7SGbFr8R1hNKnuO4JP+OqbPw84W0p5mZTySMdx4t7nGtBjxozRc+fOFe985zvlu9\\u002f9bmbMmEEm07epQHXYbZ81nNasWLGCBx54gHvuuYeXXltAvsvUL5xiJzitdiyHRzOMk1FPRzWRYCvKPTzcs5VFxa5AgielxUmJBk5ONjItmvKqq6ggA2xfPRyFKQD5ZL6FWzvWATDWjvFvYw4jwvbVa3zV\\u002fdvblgYGw3elxzIvUcsPW96iuamZpcuWBsbRUqlEPp\\u002fHcZxgMo3H49vdcxiaIbW\\u002ftAa226etrY1ly5bx0EMP8dRTT+k33nhDdXR0gDduqnIlVmqt78GkN\\u002f+D3vE00PgadTgQiO7DN9r1d2+cjFHtz5FSHg3b+13nzZsnTzzxRI466ihxwgkncNRRR\\u002fXxuwJs2byFu+68g\\u002fsffJCHH\\u002f0bOOYYk2WMY2rHcGgkxfRIkigCB01ZaxJCstUp8beerTyXbwtcT3EhOTHZyDtSzUyOJtDaENwUdNj3j0ShSQiLH7cu542SmbT88NrCAI0YBiL6eZlxdGiHF3ta+epXvsIFF17II488wrJly1i3bh2tra0Ui8ZlF4vFaGhoYOLEicyePZtZs2Zx5JFHcuyxx\\u002fZR4b3ySwF5q4ndPxbCR7lc5uWXX+bll1\\u002fmlVde4amnntJr1671x4QNUBUBuVxr\\u002fSgm5PZ+TNsnH6PCyDZYHEhE9+EbSaBvOGoK46I7V0r5biHEPK11Q383TjKZZOzYseLYY4\\u002flrLPO4pDZc7jjzju4\\u002fa47aW9pBWBGJMn8ZD1HJupotmKkhcTRmpJWuFoTlxZKa57Kt3B\\u002fdjPdnpHNQnBCsp5z0uOYEkl6E4Lqc8H7Gib4RbCxUuQHrW+RU8Zf\\u002funGmRyTqAv+7r9Pf6KfmGzgjWIXOe0ydsxY2tra+vu9d4pEIsHEiRM5\\u002ffTTueiiizjxxBMZM2bMLvdbt24da9eu5bXXXuOpp57ilVdeUVu2bFHFYtFPdKm2w5SUUm9qrZ8B7sFUJO6oOpwvvUekL3xPcCASvT92pHodjnHVnSylPEtKOVNrbe0oLbYWwel1E5gfr2WKFSeKxEHjaIXrFVmSCJLSYlUpxx3ZDUEwCcDMaJrzM+OYH69FoYOMs\\u002f39ABRmCXF\\u002fdjN3Z02vhLF2jK82H9onkaUa\\u002fYkugForQqfbtzKzL3G11lCVYae0RgvhTckClIZ+tQdmz57NhRdeyDXXXMPhhx+O1ppsNsvSpUtZuHAhCxcu1EuXLmXZsmV648aN\\u002fmUFsQz++tx13W0esZ\\u002fAlFmuVsuhb576AUXuauzvcbYvUZ0c4acx+khgIrTOkkL8uxBigqtNAvYh8RpOTjRwdLyOjDDGmqKnZvvraIUZ+AJ4vGcb92Q3U\\u002fQs1XEhOT8znrPSY4gJGVjQR9KNd7XmOy1L2eRFw70zPYYraqeQ20Ec\\u002fUBEr2ZIYEzTDBjBFxGSqBBYXpBQXjkUtOpjOPMn3GQyydlnn01XV5deuHChzmazynOt+clEgRHP08xWaa3f1FovBB7DELu73yX4eep7mn04ajAare67i\\u002f4P1a8s42CSEFwLjnO1jqO1nh5NcU56LPMTtcSFZazg2vF27DWVKTQxYZF1K\\u002fyxa30QIw6mD9nltZM5JJqhqN0B17v7E3622gvFtoDkFoITE404gygJ5eoduJCrSlMDjLFjzIlmmBlL0WzFiApJUlpEheSlfDsP9mzxpb5W3nPyyCvy+Tz33ntv9SQtfQOaF268RSn1Ksa\\u002f\\u002fSom2WjzAFfl56r7gTkHFQ4moveHwKsZLuFzCr7lQl2TFeO8zFhOTjYSE5KyVkGcd3+SKky\\u002f7zWVHL9uX8MGpxB8d2ZqDBfXTCAhLS\\u002fgZO\\u002f5wXcXfiHIp3ItwWeHxTNMiiT6lHseCBoGbKRYLd0Pi9VwRqqJw+M1JIQVfBcVkqxb4fbsBvVcrlV55LZ0lepdXWTRSybq0Vq\\u002fpbVerLVe7jjOckzhkCVsH7Til\\u002fr21XHNCEkX3V84WInuBzxMlPBzBe+RCM5IN7nnpcdbjVY0kMBiAIKDGUFpafFyoYNbOtaSU6bRYERILq2dxFmpMZS0ojjCpLgP39L+arGT5aUeBKZm28nJxkCd3tF196599ICfx4TkktqJnJ5sJiYlBeUGhsqEtFhe6tG\\u002f7Vwr1lXy\\u002fWvvF4B2TNPMjcASrfUS13UXe393YpJH+mOggiAHNbH742Ajum+JdYAzJfxKwbSxdtz559pJ1tHxWquC3qEE92FUXounelq5rWtd4DbLSJuP1E\\u002fnqEQtPV5jhZFIcjB13yooHu7e6tFVMzWS5Kh4HUW188lJAI6XWFP9GUBKWlxbP52jEnXklNvHap+WFguLWfXrjtWy23z+oEIvpje3f7P32sSOiSroq4bvqBhFiCocTET313iOhCsU3KQgdUyizn1\\u002f7RS7wY6SHwQ5FabO2WM92\\u002fh957pgy3orwqcaZjIzlqZHufu9GN\\u002fO4E9UT+dbWVnuCYpcnJUeQ0JI8lUlrHaEsudtqIYArqidwlGJOrqVg+XZMoxlX7Kg0KVvbl8ti9rNR+CzFfSvd3KK6pjY6hRhjWlnHGIIOFiI7vNRSfiShu8B8t3pce5FtRMsDRR2oqr68I1XT+da+UPnOiwELppmO8anG2YyOZIk5w3wkQo\\u002fHbXDrfBg91ZP19VMiSQ5OlHXJx11R\\u002ftbCMpKBY0khDCtok5ONnBKspGeqnugMJ6HpaUe\\u002fcv21RS160aQH6mgbqdX5R6oBtxBZzDbmzgYiO4bZSwBP1bwWUsIfWXtFP32dLNVVG7gA98ZFJqUsHm50MHvOteihfEHN1hRPtUwg8leXvlIJjl4a2gkf+7eyDanGEjz8zPjSXkFG3e53BBQ9rLvoDeh5ZzMOC823j+XqRPX6pT1r9pXq4J2RQR5rUfy6pJRoeq9l3GgE13i24fglxqujAjhXF0\\u002fzTol0Sjyg8ztVpge4SvKPfy2c20gydLS4hMNM5gSSQ1r7ba9Bd8At6iU5al8S0DyI+N1HJ2opaAGlwYrERSV28fqPj9ex0Q74WkEnh8dgdLw2861qs0tWxb8VwV1CyOoaOLBgpG8lNxT+LEsMQG\\u002fB66MCul+rGGGfUqyUfjNAXc1rP3gkC5V4Zcda+hRpriBLSQfrp\\u002fG7Fh6xPnHB4IJ9DYVWP\\u002fUtd40ZBBGrb4gM27Q1x80WFRun8qwR8frgm4rYCaVuLB4NLdVvVnKWhLxVxf+L73G0BD7EAcq0X0OR4Bfg3ifQDgfqJtiHRevJzckY5kZzH\\u002foWMdWp4jlrUffVzuRYxP1nlV5NECb8k7ZDWyqmN\\u002fhas2Z6THMiqUp6sG3XxYI8tpBebROSMmESAy\\u002ftbPvK9\\u002fo5NWD3VuEgJyN\\u002fjzhunu\\u002fYXSM0aHDX5f\\u002fj4T3a7RzUc0E+23JJnJ68CQ36Zs2j\\u002fZs5dViZ0COd2XG8c70WHoGYcAbCfCNiE\\u002fkWng21xb8jhnRNO\\u002fOjN+lO60\\u002fpDAS3cc4O0GDHcXx3Ix+au6D3VvJK1dYyO+VTd2AEV1X7UDGgUZ030\\u002fuAt8U8DEF7inJRvvdmXFDkloaTVxI1lRy\\u002fCW7GYkhxzGJet5XM4GicncZIjoSYGrBWSwpZbmza6ORuNoEtVxeNwnTxHHw4d5amzV6TxXRG60oGRnxkntM9t6Kck69UuiQAlbWon7CfuoiGsLgQCO6X0TyMgHf0uBOjiTkP9dOwvFqog9FPXW05o7shqAYxBg7xhW1kwP\\u002fz0inub9O3lQp8uvONRS169Uj1lyQGc\\u002fsSNqr1z74XyKEaQ\\u002fV5ZaDzxqtaNBVRiBAw4v5Nl3WCgt5Q5tJKhlxtc4PJhxIRPdJfrSAmwWCmLDkB+qmiLS0vSSNwcG3Tr9QaOPNYncQRHNZ7SQa7EgfF9JIhcmoMzHlN7evps0pY2OKYhyXqOeczNggBn8okAhKSpFVvTErjVY0aJdsCUGHW1YvFdotoM1B\\u002fYFQmu93HChE9y3sSeAWEBmFVu9INwk\\u002fc2ywP9QvlJhVDn8NAkpMYYWj4nWD8zPvZ\\u002fhBMWWtuLljNWsreSyP5FMjST5YN4UB8lEGdVyTCaToco3hXAB1dhSNRmljhFtcyuqciTL8K0PrihpiL+FAIbr\\u002fO34k4EiNdsdH4vLc9LghJ5VoNDEpeSHfxhaniMYUZnhXekxgVR7JUJjINVcrft2xhjdL3UEEX41l8+H6aSSltdvtnKQQlJVLh6e6SyGo9dbnQpgiE28UTTmqCNZd9K34E2I\\u002f4UAgum98e4+Aa0E4mPDWYAAO7WCCHtfh8dy24LMTEw1Mi6R2GR66v+EXwKhoxc3ta1hQ6AxIHhWSq+qmMsXrurK7D14ABa3o8KrJSEyfdqWN+67NLet1lbwFdAjc1whV9hGB0U50XyVsAH4oEFKj5YxoShybqB9yIItvvFpY7GSb1y3FFoK3pZqosH8KNw4WClP7raBcbmpfzWtFQ3KFRgrBB+umcky8bw+13YFE0OqUAkt9XFjEpTSTDJJOt6y8TjOLS+B3cQjV9v2M0U50P8T1m8AsbToNyHelxxIX1pBGlx\\u002fvXkLxgtfzG2BerI5JkQTOCJbmxngo6XQr\\u002fKxtJYtKXQHJNXBF7STelmr0Ygh2\\u002f1doT93fUtUyqsaysURvSehNFVMsy0Isx2SZ+SmlIfYjRnOse2BlBz7qlRgUkyMJDo\\u002fV7JZ6GhWS1eU8y71uJQI4PllPREjKIzSW3a9ys7aS55cdq9lYKXgkN+x6b81EzkqPHbbUWYkIOq0C1MgIluda08BWtyQABGJFyO+Rg9FMdB\\u002f\\u002fCaQEQmm0PCHRQI1l71bUmgSWlLJBGaVaK8JhsfSQI8f2BYIa1tJiUaGLX3auIetW+kjyS2smcW5m7IAlm3cHwlvvb6rq8lprRbA8u4AGOtyKBFCodf0uNcR+xGglum+AOws4T4BSaJmQlsmpHmQWVjWM20jzalVxx8NjNdTIiBdUMnLgu7liQvJkroU\\u002fdq7HBKcYIkoEV9ZN5qz0GC+uf8+v3rgdod0pB4Y4gAYrio2k7E0vHW7Zk+i07vFJQwwbRiPRfQOcBP6VqvjpmdEUY+0YZT0015GfhLGmnGNzVYHHI+N14GVkjRS3mkJjC4HQgjuyG3i423Q+9UkeEYIr66ZyerJpWGPxNZqIsGhxS2RVJUhxbbSi2P4TEfhltZSAbLBriP2O0Up0DbwNeBegBMLSmDh0iUTjDImYynM\\u002frSznKHuRJClpM96OoxhaiOjehH+dBaW4tXMNLxc6gqg94yePcFXdVK\\u002fDyvAvNywhaHFLVLTGEibUtcaKoKrigVVvJE6YijqCMBqJDobon8GT7sqTZFMjySAfeigwZY9dVle1DJ4YSdBkR4OOKvsbfgba5kqRWzrXsKLc4xnBNC6aaZEkH66fxuRocohpuIODQFDRmvVlo\\u002fG4WpOSNk1WtE94cdXdGu0enQMKo43ovpp+BHAOoCVCKjQTIgmarNjg2\\u002fx6MAUZBFnXYU2ll+hTIglS0qbbU1P3F\\u002fwKrSlps6jYxS0da+lwy32Mbscl6rmybgopae+0TPOeQGLU8uXl3qYnzXaM8ZG41z+uzzn9LMIQIwSjjeg+LgUyGPXQBphgxamzbLK7UZxRCkG3ctjmlIN1wWQ7iTvESWO40Wt0s3i0Zxt3dG3oY3QDuCAzngsz4wE8l+LeuV6JoM0tsanKhz41kiAmLHK6d6lUxe7ROrYOSIymhyEw0jwGXO59Jn1VfXwksdupoxLY6OQDtV8iGB+J79cKCX6km6s1t3Wt4\\u002fEe003FJ3lCWlxZN4WTE40UtV\\u002fgcm9di8nNX1HuCQKHNDAnlkHpvoZKS0gwbddG09g64DGaHoY\\u002fvs4A5kSE0I7W0l8Tjo\\u002fEcfTQreO+RX1tudfanpQWzXbUk+j7Hn6abJtb5tbOdSwqdvUxuo2343ykfhqzoumgYs7evk4pBG+VeoK\\u002fI0IyJZLcrmiFJYIr6dtgPsR+xWgjOsBFAJMjSbWmnLf8skWNVnRIlVKqIQVsqYr2GmObRoD7wwxnIt0s3ir38JuOtWxxisF63EUzL17LB+um0GhFd9jtdDjhF5Vsdcqs8oyVGpgWSVJnRXCqbpKgz4AaTWPrgMdoeRgScGuhrgtOb7Jj1FtRVnltuGwhqJHGzTPUYS8QlLQi2z8IREjcfWhxr450+3u+nd92rA3qxPvr8Xemx\\u002fLemglYQuyzyrO+\\u002f3xzpcBWpxTUm5sTS5OREbpVJQiBBYEUwQKiuh9aiP2M0UJ0AVDCPgycQ2dEUjoqRWD3SUl7tySwxqiaXW6lTw20BiuKhfAy1vY+\\u002fPV1VEge6t7CXdmNuFr3STG9rHYy70g3U\\u002fTKLO87T4BZMS0uZ73iEgILwZxYZsCljd7ejz4y\\u002fJMHOUYL0TVAGecUQB4ay7jLyt0B0WPCH\\u002fZDH1MWxuJe0L3xHXVe\\u002fLYpw7J3CeXnkGutubVzHU\\u002fm+hrd6q0oH6mfxtx4DYVBNpwYTkigoF1eK3YBRsI32DFmRFPbWfl9n76HsNrrCMJoCWrQAArOBJgTS4tqVdsWArEbo99vRlBQbp\\u002f4+KS0gmKHexMKiGLaCt\\u002fYvooncy2eA9qQfGokyf9pms3cWE3QAHJfklyhiUvJ0lI32yql4P7Mj9eSFNaA96cqNTgk+gjCqJHo4yG5GY6styKMs+N9Ksfsia\\u002fbrNFdnKrCEjFhBbnXewt+88EOt8xN7atZ7kW6+Ua3I+K1fKRuKhnL3uNiEXsCreH1QhcKE\\u002fYqteConeQAOL2x7sUBDhdiP2E0EF0CqhN7LjgNUyJJokIKVSVOylrttpYtBRRV3xIVMSFRe1Gc+yTf5pS4oX0l670ccj+n+7RUE++vnYwtxF4NgtkZTCsqSatb5rWSce+52nRdnRpNUtYD1rXXRe0KDNF7tjtoiP2G0aC6SwCNOhxITIokVFRI7Cpdvax3z7Hm1yH3Mq68kwkiQu5WzPxgzxnzSP7fbSsCkit00NX0qrqpSNjHRrf+16mJIFlQ7CTrVpDe\\u002fZ4Xr6FG2l6hzF74CWwlFUj0XHCoEPsdo4HoAqCCngUwzo67AkSy1+huGv7tRpaZv3X1MkCKvRlhZizrrW6Jn7evZLPnI\\u002fcl+cU1E3hvzQQqWgV5uPsLEkFRu7yQM2W1XG2s\\u002fyclGwaKbUdAcN2AskOJPqIw0okuANfEvuopthDUWxHhak3aigQbVLSiy60gxdDFh0YH\\u002fnLtrdOlGH5DnN+VNacq3NS+ig39JPn7aifynswEip52sj+dz74RbnEpa67Tk+ZHxesYZyf6dFGFXs2o4Lr+Gr2YMt1ZQowQjHSiA6jTjS1hckrY1MiIqKBptqPBBi6adnf3s8z6l4QebpL5hSeV1vyyYzWry\\u002fk+kvy9NRM4LzOO\\u002fCBbOe9t+Cmpj\\u002fe0eP3UzPWfmGzAEgy4rJECerRD2XzX0gzl7TYKsd8wGojO65ACxiWkRUrawtWaMVYc6LW4b\\u002fYkz+7mo\\u002fvHUmgvZn74oNHEhODOro28UewOSK7QnJsZywWZ8dsZBPcXNMZQ+GaxmzdL2WCCmhZNcngsQ3GAMl2+JpRTjvbq7W1bbCrA+ocMsZ8xKogeJRUD6mNCkrRs4aAZa8dMOqo35jZWCkHt58HCV5EjvmFPgKP1kHPadwYFpITN0\\u002flWHsttC\\u002fzzCs3JiUbem5lE0TMG7m9JDn6KoOaxnClR5d+as9JjiAlrh\\u002fkE0gs88pZB23ZjFRViL2KkE10AlHFjQENUSmJC4GhFjbRptmNB6aLNbpFOt4I95EAXEeSv+0Rz0LsVgNMffi26jU6BO7s2BudQGAl5Rd1kFPt\\u002fTe5DoYkJyaJiljeKWWND0CZw58hYLaWBXWoAWAJ6lKsBLNjifTwSflYIRj7RAXDRUSCaEJYWCM8YZzM5kgBMCuXGSoFtbmlIrjETxa2JSBn8DcZFtKcS3Sev0prbuzbQoxwsYZYGNTLC1fXTiEs5pC6vexvSczXe373Zsx+YO3lmegzJAVxqfSFod0se0eUq78OwyswIwaggukJHoFfFNpLHYkY0DZgf4WjN6nJuyAY5sya1gv8D9ChnjwNgNaZYw6vFDhYVu4zKrs05LqqZwFQ7SXE\\u002fBcMMhKBVdL7Nu49m2TE9muL4RP1Om1X60YWtTtlfA63dZxceYlAYLUSPgWlnDF7rJO0yJ5YmKiSOp76\\u002fXOjAGaI\\u002fXWkzwG0hg2VAVlV2q4hFNSwEPdrl\\u002fu7NgFnrKjRHxut4W6qJvJeCOhLgR8G1uCUe6N7iWf7Nrz8\\u002fM95ECu5g4vMz7wrK1e1uxQIqCndz1dchRgBGBdF9w44fryuEiRqbFEkwOZIMtltdzrGukie6k4HZ97imdVFcSmJVaa5dbmUXaurOYfzQFv\\u002fIt7OpUkQKs9aNCsl7asZ5W40cDmggguD+7s20uWWkMEk1R8ZrmR+v2WUYrmV6ses2twTQZsGmqkOHGAEYJUSvlAEi0qK6FkQEwfGJesBksFW05uV8R3U5o11CeWWLE70FE2hzy4GWsDuwjKuJZ\\u002fKt3vX7MeyNTI+kd2rU2tfwGzQuKmV5LtcW2BViQnJhZkJw7TuDQNDlVnSXySjc6nVRHcyuIfYRRgXRLWJlAEfrPuxw0cyN15CWdhDd9lKhgw6njC12\\u002fdN8V1KttEnJ3vyerU4RZzfXzxqwvWYQa8p5ozVoTVJanJ5s9jSFkUFyv0xUt3K4vWt90M5JA+9Kj2VGbNc94f0sv7VePzYBSzE+9KF6O0PsRYwSossykO9RFaRnJRNASWsmRuLMj9fiV4tpd8u8XOwkxuDUd4UmJi1qrN5aht2uQ7dydmukajQ2glcLnebavXXHvHgtkyMJT5qPDJgyUYK7s5vYVCkGefCTIwnemR5LcZCahyUEq8t5ASDgpb1+4SGGjJFOdK+yTKEEdLZ5JZ98qWPUTDg12ehZtQ0tn+jZFtR3HwxRtYZmKwbeMR20GfhDdKZrjNqeVQ7LSibU29c0jvOWGCNFmrtoUsLmhXw7z+Rag3tlIbi0dhIpaeMOogafQFBRik1OQQBEsX2ih9J8BGGkEx2ABBSA1lanxJZKUUc9X7nApKjOjqU5Il6DwkiXLU6RFwptQQGJnUFgwmYnRExIra+ur6\\u002fksQZp1PNhAmQsNjp5PMMUGmiyo8yOpr2Iu\\u002f0P35W2upLnT13rjb9c9IbkHhGrpaCdXQ4OX\\u002fXf5pZoM11UuyTOin3wE0IMEaOC6C2Ql4hNRe2ysZLX1ZJWobGQnJkeY1RtT4I+3L2FNrdEhF0XjdQQBN8EIbVOkaFXmdFIAZsqRSpaBznzh8ZqjIQc0rH2Dgw5BT3K4Tcda0wgj2dHmBlNcX5m\\u002fE595n2PpYlKwcZKwe1yKwj4ex7aqk4VYoRgpBPdd9Mqgd4EsKjUrStViRV+3vTcaA1HJeoCqd7pVnikZ6spvLiLMafQ1FnRPka9rU6RDreCPYiJwofAhOduqBT6fD4jksLezYSb4YbA3LM\\u002fdK1jXSUfpMrWyggfrJtKREgGm14jMKWfV5VzGnPcFzGGOJuQ6CMKI53o4IVRalgFsKSYpWugxoeiN7hDaxMW+2y+jdWVfB8f+UBwtWma4KvvAkP0NqfUm\\u002fAyCAjA0dDilr3jGmPXuEisup3wfoOJ1rO4I7uRl\\u002fIdAclBcHndZKZEk5T04DuxSqColX6jlLUBB\\u002fQzwalCjCiMBqIr758VAshrx1pY7NLV0VrGAu8yPZritFQTit7qrvd3b8EvZDgQjItNkbFspnjBN7aQVLRmnSeZhxI772hFm9O7Ps\\u002fICPXSby28\\u002f1boCk1KRHioezN\\u002f69kaPHgNnJ8Zx0mJhiF1YjVeDsnGSkFvMvdprQs+0UfCKiVEFUYD0X2WLRGIHkC8mG+n4Pm5\\u002fS9NsQTFu1JjqbWiOFojheC1Qgcv5dtJSnunhjUNAdF99X1pKYtfPWUw8PPZu1Vvjfi0tKm1Ivu060t\\u002fKCAlIzye38Zd2Y1BiKuL5qRkA++pGe8VvRj8RKQxkX6vFzp9a\\u002f3jQInRMaYOOoyGh+IvGd9U6K0CWFnu0SvL3Z5K3ivVK1ozxo5xXnqM+cxLIrmne5MJotnBetsvEDktmiIhe3OuV5R7vP7og4efz+4jLmVwzP0hzxWalLR4OtfC7zvWerXoDMkPj2W4snZqMAkN9vp63YgV3ihl\\u002ffX5E97XI8GxEKIfRgPRwUtQAxZ4cZX6sZ5tKPpKW7+ryNtTzcyJpnExlu8Wp8S93ZuJ7mC9LTBSfKwdY4LdW7mmy62wvNRDTO644IIPjYnBL2q3z7ZJuX8yNf3iFikR4ZlcK7d2rjOGyqqgmGvqpxOVcsiTkJHmFqvLOb2+UpACUaqgFledOsQIw2ghuo9H\\u002fUCZRcUsi4tZ4v2sxH4I6iW1E4l4jRKlEDyXb+X1kr\\u002f99mPR9wnPi9cCJqJNAUvL3YghDN3+m8b3Q0q2fw0pYfNYbiu\\u002f6ViLoxUWJlBmfCTOpxpmUmNFBqzoumuY6faFfJtSaCFgCZ6xNMTIxGghuj8SX9RQEgjpovVDPVsoa9UnVNU3zM2JZXhneoyRtNqo1Hf4BSAGGNhmCaA5JJYOEjsAlhS7B+9m0yZnvg9x9nFqhz8RJoTF\\u002fd2bua1znRdrIHAxfeQ\\u002f2zCTJjs2JAt79fGjXlDSomKXBrRGv4op72zBoL1zIfYhRgvR\\u002fcHzFrDQSBGhlpW6eTrfSqJfBJxAUFQu56bHMjmSxMW0E9pYKXB\\u002f95YBa59JBGUUE7zUV4Vx0W1xiqyq9Hh+8B3D57Mt+tmt92GdKOXF2UsEf+hcx13ZjcF62kUz3o7z6YaZjLUTHsl3J2lHExGS53Jt5JRrSYTQ8PDw\\u002f5oQw4nRQnSjWZtQ2Mf9j4SXQ72+UvBy0A2My8y0U760dpIhqdf15PHcNhaXsiSEtZ3ocbWmVkaZG68JjgPw93y716lk16LZQvSxBZT3kYDzw1pzyuEXHat41CtE6ZN8ejTF55tmMc6Oe+Gtu5eZFxGSFqfE84U2T1nSrcCjwWWEGJEYLUSH3kH0v5hcFgs03a7D7dn1KN33x\\u002fiGuSNiNZyZGuMZ7gyZ7+jaQF652yW9GOu7y3GJ+qDMMcDSUjebvMlkZz517WkO1ZlwPcrdq6p7YHSTNqvKOX7UtpwFhU784lgumkNjGT7bOJMGKzbo8NaBz6WJInky10KnW3E99+b9QCdh\\u002fvmIxmgiuj+IXgFe9j5QElhczHJndiPxfiq5qWWmuDAznim+Co9gXSXPA91b+rjnzPZmLT\\u002fBTjA7lsZPfe1WDq8UOrB3EWHnx5E3yN7mEjm3QvcO7AJ7Cn\\u002ftHZcWT\\u002fa08qPW5UEHGBczM56SbOTTjTNJi8geNWzUQBSLjU6Bp3OtCJAarYC7vU3CQpAjGKON6MZwDL\\u002f3P\\u002fP9wo\\u002f1bOXx3DbSwu6jwis0CWlxWe2kQIJL4NHcVhYXu7ZT4f12RCclGs0JPGY\\u002fl2uj260Edet2dIERIZngJ8gAHapCq1va5SQxFBgpbopa5rTDb9rX8tvONRS8OnR+55l\\u002fqhnPh+unYiOpoPbwYWssAfd3b6ZHOa5ASG1sJk\\u002fQu1oKMUIxmogOvVL9bmArnpXXl8p\\u002f7trAS4V20lXkFRjf9mGxGt6ZHmt8xkIYK3x2o6fC9x7YLzx5ZKLW1I3HZKRtc0u8XuwiLndWKNH47Sd5RLeEIK9cNlQKw5bU4kvxpJQsLmb5YetbPJtvRdBrdKuRNh9vmM5FNRMoa73HwTpmsrRZUOzi7\\u002fn2YAIFbsNY28NqMiMco43ofpPRjcBd3mdBXFdZK37ZsYaXiu2kpCG7keAmw+2CzDimRpO42qyl11Xy3N+zmXg\\u002fFd7RmnoZ4YR+xSKeyrVSUDsve1zRJhglKa0g4mxJqXuPu78o7wqT0ianHX7fsY7r21YElWHA+MhnRdN8sWkOJyYbySnXu67dh8LEF3S4Ze7s2oAJNhQS6AJ+620WknyEY7QRvRo\\u002fB4oxYcmEtLTp\\u002f2UKUdzcvpone1pICsuTPr2VWS+vmRxkswngsZ5tLC5191nfC8\\u002fVdlKy0cTIexb7FeUeFha7dlj+2BTCcJkUSQbVaQWwsNhJq1PepYtuIPjGtpiwiAjBC\\u002fk2ftDyFo\\u002fnWgKbg98I8Z3psXyhaRYTI4kgQWVPLQMCExvw564NbHGKCHBNmQpuxRSBDH3nowCjkej+MnuxgD8ptDgmXq8ylh3EcVe05reda7kjuwEBxIQEBAXtcmgsY1R4L2LO0Zo\\u002fda4P1rf+BFDRmomRBCcnG8wJPcb8rWerF6QzMIV8v7VfOkoiKCiX5\\u002fNtRBl8Fxmf4BEhSAqbNeU8P2tbyc3tq9ni9Ja5ctE0WzE+0ziTy2snI5G77SPvD4UmKSz+2rPVuBgR2ng7yAE\\u002fq7rUECMco5XoAhA2\\u002fLiiVW6zUxAfqp2qk15MuuVJsoe6t\\u002fA\\u002fbSvZ7BRICgsLQV67nJsZy\\u002fRoKlDhNzgFHune6pWeMvBTTt+eaiYhjBouEawq53i12OkZ8QaS6iaL7qh4HfVWNFgfP5NvZYtb9Fx0O\\u002f9xCiNFU8KmxSlxa+daftj6FguLXUi8tbjX8fX0VBNfbj6EY+L1FLw4++Ejuc0rxU7uzm7yfGfa91L+FlPt1W\\u002foEmKEYzQSHYyFV1TgdYG4ZVU5J3PKUf+ncQ71ViQoWywRLC5l+W7LMh7JbUVgmh7GhcXFNRNMQ0ZtRu7feraytpILXG5+PbpJdoJTko34SStgLM9dyjR07A8BVFA02lFOSzV62oBJkLk3u2mHTSD9NXhMSBJS0uKUuaNrA99pXcYTuRaK2sUWpuGEi2nS+JnGWVxVN5Uayybv1XgbDieeL8nfKnXzm441OCYbT3m3qg34wTCdKsQ+wmglug8RQ39fILbcnd0k6qyI+lLTHGZFU7gYa7PtWb7\\u002f1Lme61rfYmGxk4pWHJuo5\\u002fRUs2dVFxS14u7sJi9IxoxhgaCC4uzMGOqsCEobbWFzpcjjPdt22BFGICgrxTuSzTRZUW+NDy\\u002fk23k230ZKWMH1+WdLSpuoEKyp5LmtYx3\\u002fX8tSHuzZQo\\u002frBLXnHK3JSJuLaybyxaY5HBWvo6iVyb0fJt65HslXlnPc2LHK60OHZ4RDAj8C1hBK81GF0T4rW4Brw2cduP7oRJ36fOMs2a0cHuzewqM9Wyl7Kq6fgw1wWCzD2ekxTImk+GmbCTLx2yZ9vGEGJybqyXvrXJPqafNgzxbu6NoQlF+KC4uvNh\\u002fChEh8wEAUX\\u002fV9Pt\\u002fGLztWe0UyjE\\u002f\\u002f842zmR1NB0TvUQ5vlLK8lG\\u002fnTc9CD6b7jN8xRgKnpBo5Jz2WSZEkReUGmstwwJ+uktLijWKWmztWkXUd\\u002fx743o7FwAmYUOTq3UKMcIx2ogtAXAriTsSjGn3GR+unq9NSjbKiNRsqBR7s2cw\\u002f8h3BxtWEnxlNExWCN0vdAaknRxJ8pfmQYDu\\u002fGotG8\\u002f2Wt4KCii6aI+I1fLZhVmD19uH\\u002fZYJaJL\\u002frXMuzubZgMmmyolzTMJ2ScllUzPJaqZM2pxzsX01wARwdr+NdmbHMiqZRGMv+cHZh9e0aMSl5JtfGHzrXBR1adK\\u002fZQAPnA4\\u002fQG7gUYpRgtBMdPBUyAkdX4Ml6K5L6UtMc2WTHhPlS8Eaxi8dy21ha6va6pPaWfep7IPPZZbWTuLBmAo5WKG0SU6JIFpe6+Enbcm+xarZ9X80kzq8ZF8TOS4H3LvDbObe6ZX7aupxNTjHQd2NCUqqqRCO8fX3fe0xIDo\\u002fVcHZ6DHNiafw4AbPt8MAk5hrtpKRd\\u002fpLdzCM9W4NzeHfHxRD758CnCUk+KnEgEB28wSfhswquPyxW436ucZalvFSWuJC4wFulbp7MtbCg0BlIdV8y+lJYY+q8HRWvY0wkxlgrRrMdo0ZGaLaj\\u002fLlrAw90bzHZbNoQ8vNNs5kSSdKlyuSVS9Z16FRl2pwy29wSWypFtjoliro3gKU6Ek9XaQS1VoTjEvWclGhkWjSJya8fXoKD77qTRIRkaambu7o2sLKcC87Rj+RLgFOALH5kcYhRhQOF6MJ7KYm4S6Hfe256nHtZ7SSrpyolM+5VnNnoFPhHoYMFhU42O8VdHjwhLaJCkhCWyRKr5NCeZqC97xPCoqIVFTQVpYKJpBrVk4qvEfjHmBPLcEaqmZnRFI1WFI2x+vsWsOGAr8HYSGJSss0p8XjPNh7LbcPRuk+cvC2Edkw3jBJwJvAioQFu1OJAITr0\\u002fpYGAc8Ch15dN029PdUkfbIrj2ARIYkg6FIV3ir1sKzczYJCJ+1uOTiIXyfGD1wZ6EQ+BrJISU8VB+OXGsg6Xy3Nj4jX8N6aicyIpilr1SfoZXcfkq569wOHJIIOt8zz+TaeyLXQ7tWgt4QI4gpmRtOsL+fdgnYtjLr+c0KVfVTjQCI6eIMxAkc78FhEyLpPNs7UR8ZrZV71lk3y16Z+iqejFUWt+EXbKt4oZfuo1rvCYEgP0GhFGWPHmBRJMsGO82SupbrVcLDf21JNnJZsYlY0DWgcNI7WgRYw0Dn7n99fCFgILCGxMQxdW8nxcr6DFwrteL3MsTwDoQYarCjvTI\\u002fhhXy7u66StwT8t4bP0RvmGlrZRykONKKDR\\u002fYo\\u002fFMZ7s5IW3yucRYzomnRv7KKTwqNabTwYr6NG9tXBcSbFElwbnosm5wirU6ZVrdEj+vgYAo6VLQir9w+RE1Ki5nRFLUyQrMdp9mO0mBFqZUR6q1oUPq5y63wl+5NPNHT4l20CNxtUc8Qd1KygVnRNLVWhIhniXe0HnBZAEavtoUMustkXYcuVWFJKcuCfCdrKjmK3nrfD\\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ulVVVYVTonu\\u002fndc+Ing0qE7TQGQF7O4Ozf8WHTenDVRXV8vJu7BWZGZJRAoAGlbP+5aQckoiHuvV2JSBKQ2VsCy5fPNG\\u002fP6FJzDj\\u002fbfxf6OOwDfGH42EHQuFIQytNVzHv67zwDE\\u002f252ccUXSZTfO6+y59OdkMvYVaIbv++q5d1+XN\\u002fzrEfQqK8flXzkdIwcPAZiRdV0lhZAl6STyeXd1EKqplf1H31fYX8t9LqJ2zYJeJoXJ0l5jPiz+rqamxpgwoUoRtX8\\u002fx2eNDqK3AnO1LK6vmZnqls85UhjyTGbdW0r5MofuneX9qxqLswwR6Y0fzh6QSJi3W7Z1out5CIJQlcQTYk19Ld3z8lO449l\\u002foVdFV9x7wRUYM2iIrs\\u002fnKJmMUz7vfBCG4VVdBo57kpl3O69zceBiniLqVx\\u002fzbQJPSSYS3aFYb2xqoEvv\\u002fz098cpsnHDIKPzgpMkYMXAfeEHATuDrRMyWlmnC871Hgzr38soDqtZGJJ6h65Yel6KY+o0h5FeUVgZrXgqIuyWpx8r6jm2Ijr31OXYgQgfR0TIDUYFsVL9q\\u002fokMfZllmlWmaUCFColUEnV1DU+zw2dW7jM6S0Rcv3re\\u002f0khfx2L2d0bm5p1wrJJg+nheTNw07\\u002f+jhUrluD\\u002fjjsNv\\u002fn6RUhYtvZUIExpwPP837uuM6XXkKPqdkeSF9HaSmlYUdNPmLFfGYY5iZWGJKH\\u002f+NJT4or7fw9BAudVHYcfHH8aBnfvicZclhngspK0cD13jR+oKyr7jX4UABpWzrm9rLLi0qb6RoAAwzBgmSYc11sE1vfk65r\\u002f3P3AY3LRM51KRfN+T8ceT\\u002fTWZmH96nnjpZA\\u002fFYSjhCHhOp62DJO9wCcAqrysxGxuzB\\u002fxwmurZ00Y3v2OVDLxXd\\u002f34fuBLk+ViNeWf4ip0+\\u002fH86\\u002fPA6SB287\\u002fHi468ivIe56KxS0ZBOEGVvrSsr6jpheOvduSvBWIubolEtG4ev53QeJGwxAlMWmGMz941zjvjzdjzfIl6NV\\u002fEH580hk4d9xRAIC856lEPCYJBM\\u002fzrnOt2E2258xNJBP75fMuC0HSkgY7vsd2zJa2acJxnMVK8XUV\\u002fUc\\u002fDHTM7kXssUTnKVMEpkbJLCsXz+xelrKnkaDzTVMamWyey5MpnXUd+e7alejfuRtSdkzH4jHK5Z1fCNCQsvKS0+rqG7RtWgAg\\u002fvjCE\\u002fjVE9Wo37wBqYouuPObl2LyiLHc5ORVaTplOI43u9lzvtl7rwlLC6Y\\u002f7y5r8l1B62uuXTH7cCmN+yzb3EdqUks2rpXfuutWvPruG4Adw4mHjcH1Z56Pfbr1QkMuq6WUlErGKZdzXgDQ1zKNwUEQ8vsb1pIfBjh84L5g1rrZySOZiAtDSriO+4Tjqx\\u002f3GDxu8XYW2x6JPZLorWfSulXzJluGcVMsbvdvaGxGzDS1bVniqTdewTNvL8RXDhqB8fvuD6WjSYHBfjwWs3J5R5XE4nJNfR0ue\\u002fBOPLVgFgBGr67dcc8FV+LIIQdwfS6L0nSKsjn3gfpNjZcMPvz45t0hVv7fgLnGIKoKaz98saewY3+OJeLHcKDVluZGecG9d+C5V+cAQqBnZRfcfPaFOH3EWDS7DphZJ+Ix4Xk+NGsIEEKt8Mgrs\\u002fDGimU4f9xRGLn3UGTzee2HAcpK08J1vUYV6ms79Rv1O2DXnay7I\\u002fY4ohdNufplL5SSlb7RtsyL\\u002fCBA4AeqJJEUi9etpqnVf8GK+lrc8fULMXLQEGScPIi23iqltC5LJkXN++\\u002fgu3++A8vWrQKERPeKSjz8\\u002fWswcuA+3OjmOBmPC9fxf1HRf9S1wJ79orVGMXOOmWXjmld+G4uZF4V+qPK+J75z9230+IKZgGWDtMblJ07GlFO\\u002fBjDDDQJtSNkSbiMQ0vE47pv1AqZMvx+nDx+JK08+C91KytHk5JRpSBmPxxH4wfScq77XbeDITW158PcE7DFEZwZhRo2kqqpw0\\u002fKXDjBE7P50OnlAfUMTJ+0YfKXoTy8\\u002fjeur78PAXn3x2BXT0KtTBRrzOUghCvtgMIDSeAL3z34RV9z\\u002fe2QcByQIXUvK8dCl12DU4CG62c0LyzAQBP4Vlf3H3TZlyhQxderUPcpU\\u002fyRsY1WtnHNDLBa7OghC7QU+fePu2+ip+TMgE0mofBYnjToCvz\\u002f\\u002fEpQlUnB8r+V5AIDSGp3TpXj2nddxxq1TUZFM47qvfRunHToabhCwHwa6orxUNjVnl4WhOrfrXuPmck2NgaoqRbtBuvGuYg8ievRi1S+b9RVhW3+2LatLJpsLyxJJ+daq5fTjh\\u002f6El+fXYNTwMZh++bUojSWQ8z0YrUhOREjaMdz470cwrfo+QBoQAEqTKUy\\u002f7FqMHTyUmz0HcdtWecf5bpcB4+6JwkITVAfJd8SUKVFm27Rp03T9qnk\\u002fsWP29aEfaDfwxTfuvAVPvTILsVQJ3Ewjhu+7P+7\\u002f7o\\u002fQv3M3ZF1nW7IrhfJUGvM++gAn\\u002fuqnaG6ox7nHnIyfn\\u002fZ1dCkpRVM+p9LJhAyVzqowuKhTvzEPFnw0e8zgu9sTnZkJM2ZIqqoKt6yYc2HMtn6jtLaCIFTpeELeN\\u002fN5XFN9H+rWr8FhBx6G6kuvQUUqXZg5ZHEfIALiVgw\\u002frf4LbvvXQ5CxGMCAIOCRy67BVw48nBvyGcRMC54ffqfLwDF\\u002fKqzHFfagmePTonV9wObls69NJuM\\u002f14EOm\\u002fI5efrtP6cFi9+GlUrDzzRj774D8OAlP8GwXn3Q7LotgzAAhFqhPJHCzA8W4Yzbf476LZswZO+h+M3Xv4uqIfuhLpNRlmVKQ0p28t7lXfYa+xvmagnsGXn1ewLRBRHpupVzfhiz7V86ng9JpIUQ4trp9+OOpx8DggAD+vTHE1dMQ\\u002f+u3ZB13a3mOqKblLBsXPm3e\\u002fD7J6sh4gkQAOV7+O23LsOFRxzP9fkcpxJxkc243+86aMxva6ZMMaqmTdtjnW6fBq294vWr5v4ynoj\\u002fUHmhWlW3WZ5w87VYuX4NzHgSQS6Dvt164uHLfoYD+\\u002fZHxtl2Zg+VQkWqBNNfm41v\\u002fuFXyOdzSKdLcPPZF+D8cUej2ckzESGVTFA2n59S2W\\u002fMz6N8+d1\\u002fZt+tiV50vNWunPOzZCIxLZPLadswKeM6dNGf7sATC2ZAWjGkEkk8fuU0jNxrHzTmczBkYSaPdoJULI6rH7kPt\\u002f3rbzBiCYAIYT6PH5x2Nm6YfC4a83lVmkrKTCb7i84Dx13LNTUGOsz1T4XWZK9bOefeeDx+PmlWry1bIk\\u002f69c\\u002fQlM3AsG0EuSwG9OiN6VdMwb7deyPruTuSPV2CW5\\u002f5B354\\u002fx8hDAM6DPDj087BtV89C67nMxPp0nRSNjRlp3YZMGbanuCg222LWu666y6TaLLavGzO5alEYlomm9MJ06ItzU10xm+uxxPzamAmU1Cs8OtzvoPRg4eg0cm3kBwAtNYoiSdw\\u002feMP4bZ\\u002f\\u002fR0ilgALgTCfxTGHjcGUr34NzY6jykvTMpPN3dd54LhrubpaUlVV2JrkHSoqO2Krjlz0B0TA1KmYMmWK6CTExU7OeVELyMP32lfd+vULwVpDhyGMRBLL16\\u002fBmb+5AavqNiNh2VB6a3jckBINuQy+f\\u002fTJOP\\u002fIE6B9F4Ydx03Vf8EPHrgbhjRIgERTJqdK0ompdctnX0lEKjLjd1\\u002fslkRnrpYXXHBBULts9jfjMevWTC6v45ZFaxvq6PTbf4657yyEVVKKIJfFRcd+FV8fMxENuew2az6lFcoSKdw360VcN\\u002f2vELYNEEG5Lnp2643bzvkOAKhkMi5z2fwsv77hkurqaolJnYlragxeuNBkZsk8RYCikFJr+ag9FcxMU6YUq89a\\u002fQF4+tCh9LWvjTCnL1jrc2ic77r+clcH8qzDJ+iLjj8VynWgmSETSSxdvQzn3nkzmp08LMMEc2vjieAGPm6YfD4O3ns\\u002fhG4eVjKNO596FBf\\u002f5XcwpCACRDbn6HgifvPmZbO\\u002fSRSF+760G\\u002fM5Y7ebaYqx6i0fzZ1oxYyngzA0TSFRn8vQpNuuw8IP34WVLoGfzeCQffbDMz+8DqZhQCndEitXhZm8ZvHbOO3WaXB9DzAMQGsQGA997xqcdMjh2tOhAPN613HGdx1U9dGunN\\u002fuVKX2adH62uuXvVBKwiAVxHU96r3Bg4\\u002f3tt9+08pZo23DelGAbNf3ceItU+iV994q+EgIKteMk8cehQcuvApBGICJWl5opTVSsTgWrliC42\\u002f8CfK+ByElwlwW3zz+VPzm7AvhBL6WUhIBQRDy0V0GjJpZjPF\\u002foTfmC8BuRfSWENq62X1EaM6TpugZ+KF2A1+c8dsbMPutV2GmSqACH3HLwpM\\u002fvh6HD9wXmVbhGs2MmGlifUM9jrzxx1izcR2EHYucb7ksLjrpDPzmnAu52clxzLKcrJM7pdvAqhdramqMA\\u002fvFegHUX0H1A7i7kNSZNZUSOGmaZr3ruI923mvcS3si2YvXXL9+bl\\u002f2MY3BI8AQAAWC0KAZ9SRorda8hoFVltBLyvqOfX3LRzMvNGP2Hywh+c2Vy+i4G6+mrOcAQoKIoPI5\\u002fPTMb2DKqWejMZfdYb3eKZXGDf9+BFMevBsikWh5jped+jXcOPl8NOfznEjEKPCDNTHDHJ3oddia3fH57DZELzpzsGa+XRuqF9Lp5OjmTE4lLFuee+ev8djM52CkS8AMqHwWP5p8Ln5x+rlo2O7lYACGEDjjdzfiuVdmQyZTYK3Bvoe9evbFiz\\u002f5JUoTSS0tQ7iOM4eEnA7NVUQYyoQK1iiJxW0jHrcBjtb5zIBpSGRzeeX63jld+o97aA8paAGwleSbFtWkRNJ4sbJL5xGZhiYwRaFLKSUMKWCZJkCEXC6PIAhzYN7MhA+ZMVIQlaZjcb7uXw\\u002fRdQ\\u002fdA5lIQTODmAFmPHLZtTjp4MPR1DrBCdELTkQ4\\u002flfXYsF7b0LGkyCtEXoObvvWpbjkqJNQm2lWFWWlsrk5V7Oy3j7mkEMOUdjNahF2ozX6dEFEeotSU8vKSkY3Z3JhWSIlr3\\u002fiETw2+wXIVBpaayg3jyF77YvLjvkqMq4DsV2WVUk8gVue+QeeWzALMpGEVoUcdyJce9rZ6F7eCb4Khed6MExzTDqV+E08ETvFtMxBUspOlmkYQkNrTwUy5BABh07OUfUNTZ5lmlKQ+NG6dQsTRKT3HFWUGRIARMKcWJJOj6jfUusHYagtkrrUTuiEtBQpqFzWCRsamkPH9RiEpGVb\\u002feOx2LGCqJSZkfVc+v4xJ+GQIQdCOQ4IBBYCOgxx+V\\u002f\\u002fiOWbNyBmWdAcjZ+E6JnGTQvTTjsHZiwOrUNoAsiy8eO\\u002f3YNn3lmI8mRK1jc1q9LSVFWf8vxVRKQxffpuxI3dhOiRtNBktXn53HG2YV7R2JTRJfGErH5lFn752IOQsXiLs8aQBq495SxUpNIIldpmTZeOxTH3w\\u002fdw6+OPQMbi0MwQQkDnczh1VBVOP2wMGvI5cOE\\u002fYnDohUpo6Ji0dNK0OePk+a1Vy8S\\u002fF84373zpaeOJNxYYW7JNUhBZecfVYPQq9VXJl3e3vjxIQSWGlAyAvDAUsz9cJP7w4pPi\\u002ftkvyJfee0uurN1kCEFGp1QaSSvGEkLrUGtBBM0MN\\u002fCRjsXx89POgW3HANaA1pC2jbXr1+Cn1fdDCrGNmSqFQMZzMGHI\\u002fjhn3NFgxwGIQELC8z1cfO9vsWLLRsRNS2RzeRWzrZ82rnpleCEXf7fgB7Ab6LoXBAZQu2RBCUl1hzSkYTHrFVs20lV\\u002fu7uFrARA5XM4esQ4nHjwCDQ7+W1MdikEsp6LHz1yL3L5LGQ8ATBDhyGS6VJcfswp0MywDQPpeAJ+GGJzUwNtaKyX765ZideWL8EbK5Zidd0WJC0LQ3r3w9HDDkZ5MsWGEFqDdWkqZWaacx8m+5U37DmzOTB9+pZolNX6nabmZt80LdsL8iodTyBp2+KlxW\\u002fT\\u002fCXvoy7bhLJ4AoN69KKD+u6Fg\\u002fsOpL179ELX0k7oXFIKZkazk0fVkP1x4ogxeHTGc5DJFJTWEIkU\\u002fjHvZRyz\\u002f8E4b9zR25jwBMAPQ1x23Cn418K5aGhuAqQBacewZt1q\\u002fOiRe\\u002fHQd39MOc8lO5lIOKH7u9Wr51UB8HaX9Xq7f9lavOwrZk8rKy35WUNjRiUtS55z5834x+wXIBNpKB3N3IYgPPOjGzFq8BDkWpntSmuUJ1O4\\u002fvGHMfVvd0MmUlBaQQoBlcvguyefhd9\\u002f81I0Z5rw0cb1mLd0MRYuX4JXly\\u002fB+2tXAbkMoBm9+g7A6SPGYdKIsdi\\u002fT3+2DVOBYEAIQAC+629WPp9S2n\\u002fE\\u002fD2tki2yuqbpumVzf2DGzJss0zBs2wYCBS8Mw3V1teKJNxaIR1+ZiTnvvA4EPmDZiJeU4oA+A3HogEE4ZMBgjBq0L\\u002fbq2gOL163GmGlXoDGbAUkJAqADH90qu2DmNTeje1kF\\u002fMAHFZ5xWHjG106\\u002fH7+s\\u002fgtkMnovJAkoz8FvvnUZLjryBDRks6q8rEQ2NGa+13Xg2N\\u002ftLsIV7ZrozCwEkW5YNXuAZvGmBtLpWBz3zXyeLrzz15B2DIp1gbBZnD7hWPz1wiuR81yIQiiNmWGbJlZs2Yiq665CQyYa7ZkZrDXKkmn8+YLLsaGhHg8vmIn31qxAQ3Mz4HsAMxCPY+Tew\\u002fCtCcfi2AOGc7fSTtoNfKlYI5GMob6h2Zck3pGGqGl23bv7DKr6aHeZJT4titddt3T2ULLkSSpUx0DQQWWl6RIVKJgkkfUc9dqyJeLemc\\u002fRM2++gob6LYCQgNaAHUPX8k44fK99cNbII\\u002fDYa3MwfdbzEIVllpQSKpvBt084Hb8\\u002f97vbVB7qwnNeW1eLidf\\u002fEBvrtgCmGZ1YGKK8pBQv\\u002f\\u002fRXGNClu4YAtNLrGrP+iL77jtuI3UC0ot0SPco2YyIivXnZ7PvKStPn5XKOasxn5PjrfojVG9eBLBsF1zdi0sDjP\\u002fwFxu4zDFk3D0FbZ\\u002fOSeALfvOd2\\u002fO3FJyGTya2ZVlqjNFUCZo3m4othmEAQgAwDE4YcgIuOOhFH7XcwJ6yYdgJPWjELgR8iDMOlJOhvrIMXKvqNn7f1vKOZ7cu4Z\\u002f8L2H6Q2\\u002fRhzYFGPDaRlToHRAeUpJNQvgIB6u1Vy8SfZjxLf587A7lsE2DZEeEDHwCQLuuEjJNv2TcBIGYY0sAzP74eIwcNiVJkW+VHlCdT+OFDf8Zt\\u002f\\u002fwbRCIJrXXkh8llcdbEE3Dvd65As5NXnUrTsqGx+dddBo67aneIkLRbZ8P06dWCiHTt8lkj7Jh1VnM2qxO2Lf7w0lNYvXYVpG2DWUMQgT0P4\\u002fY7CGP2jkQkiiTXUSwMM99\\u002fB4\\u002fOexkiHoNunWElBJqyTWjOZWGVlEUzS+hjxL7748FLrsY\\u002frpiKk4ePCkEgLSEDpZDPOk8FYTgpJ+iATn1GTavoN35elOYZaY\\u002fvySQHgKIybKSZz6Lr3lVvVfQZeUtFv2C4QXxMU3O2Ouc6DhskD+i3F\\u002f323IvDF35yI599xPEwhQDCAEYiCSORRCaX3WbfDICkAT+fxS+fmI5QqRaSA4CgKGPu3LFHIlXWCVpFNUfMDBFP4NF5Nah57y2UxOKiOZNjIcR3N380YxARaZ7SvptFtNuTf++996KaE4gf2pZpm8LAorUr6a4XnwLZNnRhVtbMgCHxjXFHQ0BsoxQDEEKt8bsXnoCXz4GE3C6VEpCGCZISfqYJPSq64LbzL8VTP7yOTxsxVmnWYAkDjJzj+n8h1odXDhjzlcp+ox\\u002ft02eUE73M1RJEIJrcUeRSANE0TVFHFl1duEdEVWFZ3zHPd+4\\u002f5gwS5qGe5\\u002f8m6zmNZArjwL4D6Z5vXqae+uEveOKBhyJ0cgg9D7JoereC0goUT+DFt17FS4ve3CYXnojgBgEGd++FU4aPAgpViswMCIHAc3HDE4\\u002fACwPSmnVJSSohpfk9AMDQoe3W+gXaqeleNKW2rFpwiEF6rtLaSscS+NafbqcHnv\\u002f3Vk+sENCuiwMH7Ytnf\\u002fQL2IYFxRqEKGuqJJHAnA\\u002ffw7E3Xg2NHYvGpRBQrgNpx\\u002fDtI47HFcefin6V3XSzk6NEIkb5vKsI+Jsg8ZvyfqPeKJxbR7PA\\u002fxCt9fIBoGn5nL1DoksYfH4ylUhyoNkNfP77vBrx638\\u002fjJXr1kIkEuDouy37EUJAO3lUHTQCT\\u002f\\u002fwOmQdB0QUZdJphdJECs+\\u002f8zpO+\\u002fUUhAQUTSxBBA4CPPC9n2Dy4eN11neINdd7Gof0GDB6VXs24dvtjA4ApMJvJJMJ2zYs\\u002febKZfTEa3Mg7FjLQycQoEKcfMhIVKZL4YdBIYlCIWZZUJrxyyeqoTy3xTsLoMVRp3JZHLDXPnjyquvwm69fyF1KypWjA2HbFjmO+wQLHF7Rf8y55f1GvbG1Bzqhg+T\\u002fGYhIFxKJBDOL0gFjPqzoP\\u002fp7IOMwJ+8+7IUBxWxLfLvqePXs1b\\u002fkrx1xPLTvgYNwm8Qn1gyyY5jx3lv4y6wXUVlSCiCy7qSQyLgORg0egqH9B0G3KnMlInAY4q6aZ5D1HKEV63Q6WWFLnAkA06dPb5cTI9AOic5R5ZPetKKmm5A0KZvNw5RSPDSvBo31tSDTjFIjiaACH6lOlTjx4BFwfA9CiCgxJp7ApqZGTP7NdXjxrddAsXiLqU9E0GEIMOPik87EMz+6HhP23V83Ow7F4paE5rfzjnN6Rb8xJ3XuO2Zh8aUsvqQd7YD+e2wl\\u002fBTBXC0r+x2+uFPfUWfpUB\\u002frh8ECRVr2ruhMd33rUn33RT9Et\\u002fIKaM9tWZYxGCj8\\u002fbL7fotrp\\u002f8FpiFhGQaU1uCCA\\u002fbU4SOBKIMWQOSso3gccxa\\u002fjflLFiNh2+R6HrPW5y9Z8rQ9efJkDbTP\\u002fId2R\\u002fTiWslg++R4PNYZgF7fWEePvDILsFsRFgCFIQ4fuDf27dkXbhCAOfK6zv1wMb5y00\\u002fw9ILZEKa11QIgApRCt\\u002fIKTL\\u002f0Gtx+zgWIGaZWxMKyTC+X96\\u002fLbtw0quvA8Y9tT\\u002fAv63bsziCapqPy0SmCeYqoGDD6uY82vjPOdd2rQw6bhSnFeWOP5Od\\u002fehMOHjQECPxtwqYQAr5m\\u002fOKhe\\u002fF\\u002fv7sJDbkskrEYFDO8MMBxBx4KO5UE660GmCAC+x7um\\u002fUCBBG5rg\\u002fDNAdVWskjAXBNzYx2Wcra\\u002fog+6T3mKVMEBJ+pNXM6Fuen3nwVGzdvBBnGNqRlrXDKIaMgKdIAL0+m8Y+F83DKrVOxZN0qGMlUS140AEgSYCePc8cfjdNHjkddppkt2xJBGL4aOt7Eir6H\\u002f6zn8JPyBUWSDoJ\\u002fQYgIP00zsxw+\\u002fIKgU9\\u002fRN2UdvyoIgpnNbp7269mXf3DCqeAg2MbZGpGdIJIpPDV\\u002fJk65ZQo+2rQBpfEE8p6H\\u002fp27YdTg\\u002fcCtzHdmBkwLNYvfxgfr11DcslUyERMg42QANGHCjHb5zNsV0SPv7DS96esTh4Ex3PMDyvue+PfrCwAVZTkBhWKGMERJpwqM2GtvBCpEeSKF+2Y+j6\\u002f\\u002f9gZknRxELI5Qb7uU1qxgxBM4bMDe8DxPx+Mxct3ggWWbtlRV7DVu7tYQ2e4tO\\u002fS\\u002fikgJBsQ1NUbPQePfKOnpHKk114SCaf\\u002feA1X37r2gggBErdbrzNBaQybTeGvp+zjl5mvx1urlSFg2SmJxVA3Zb6vtjsI63rRQt2UjXlz0BizDkJmsA6X5uMZVs8sKA067M9\\u002fbFdFnzOgcme2SxpWUplKWMNQH69fQgqWLQbEoCw6IvK7wXBzUby\\u002f079wNcdPCg3NfxgX33AZPKUjDbDHxixBE0J6HPt174uB+A9kPQxEGoQMKbxo+\\u002fKQ8L1xodoTIvnwQgamqKly4cKFJVBUS8LAfhtira3c6bODeQKsEmdZQWkEmklixYS0m3fZzvLNmBQzTxKED9oZdUgYVhlvX+MyAkHjizVfh+B5ppTgRi\\u002fWCliOKp\\u002fEFXvJngnZF9IJ0MkB0rO8HLAXR\\u002fKUfINNYByFbxcAZgCAc3G8QKjp3xQNzX8Ylf7o9+qqU22iMFUFEgGYc0m8gelZ0ZkgCmJdUrFBLmJlo+PDgC7rMDuwCDnniCRXxkmY6rhuYhiFGDx7KMK1tlmOtoZSCjCWwdvMGTP7N9XhjxVKM22cYepR3AlpVMmrWgGVhwUcfYMXmDbAMUwtJrMAnFDbpIPrnhYLAIjeuml0OTaN83yfNTM+8\\u002fSogjNbWVzSzmzZOOngEnl84DxfefSvcUAGt1vA77j9y3kwcehCU1mwaEiDUUFVVCExtdw92t8fUqcwMVIZdVmqtX4cgjNtnGBux2A7WWmsorSBicazdtA5n3nE96rNZHDHkACAMQK34K4SAl8+hZvE7iFsWlNbEwKhFi6otRKH3dvVOtBuiT59eLQBAsxglJJUTCJuaGuitVcsBKaOQCgozcxiiZ0UXKM34xh9\\u002fBc\\u002f3IUwD\\u002fDEvgGaGsC0c3G8QlFJRaSuhJvq0fWdF7Y6IUmmrJQ0e7Ami2dIy0L9zNzWgc3dAqRbvexvfi9bssQSWrlyG8++6BcN69wOE2CYuKkgAgY+5SxZDay18zweDB3aP9RxMRFxdXd1uuAO0I6IPGNAgAICBkfGYjZhpqddXLEVtc2Mk3NgazKgsKcHlD96FdZs2QBRSYls8stvN6tHgEGDvHn3QpbSMNbTMNOccQ8ulAIDpn\\u002fvldeA\\u002fQuSzYRLvZnM5xC1bHjZwb0bgb5fqXAAzWKmWDDmKJ\\u002fHiOwtx38znYSZT0K2cswwGDBOL1q7E2oY6EiRUOpUoVUIPAYBJkzq3q8G\\u002f3RD9kEO+owp3dj8SArZp8rtrVkLlsjBa5ahH4RET765eiXdXLt2aDEMUzehawzCMbcguiIDAx749eqM8kWIhJUBYpuBuAICphbz6DvyvYYIGAAP0Xj7n5FPxuNivd79ovb090bVGaTKFTulScBiF4RgMMgy8s3wpQqVakmyAyMIjy8Lyjeuwpm4zbMNkKSUAOqj1sdsL2gXRi9lwqxbN66S1HhT6ITL5vHhv7SqA0GK2t4ZmBWql9y2UQtyyMHnk+Bb99uJjJRCgNQZ164GSeEIbhgEiWl7ev6qReYqYNm3Prjj7X0Uxj6Gsb+V7EKglKTGoWw8WiWQ0Y7cmOwF+EGDqqV9DRboMHAZRcgwzyNxeF75Q0SYEglwWH25YCyISvu9DEPZrfez2gnZBdEydCgBIpMJuRNRXK42GfI6WbloHGOb2lngB1PLwJAlo18HPTj0HE4YcALehDoY0WoYHxZGoQf\\u002fO3RFqRQwGEz6IPp3QPu7RHooor2GwR0wfMCv0LK9EeWkZONy27Z0QEk6mCeWpNP7wze9DcjS4g2inDloAgJRYtGYVlNYUhApENJQXLbIKn7Yb872dvMSFYgJFPdLpZAKAynoOLd+8sUD0nQ+uQkqofBbHj67CFcd9FXOXLI4UZLBtBp0VS6BPRWf4YSh8PwADy6I9bOkw2\\u002f+3Eb0bJJaGWqNHeQVXpkoK4bLWMzoBRJj14SJMHncUfnz62dC+h4\\u002fLZ2WOcubfX786SrxRGgC61ZnNnVs+bydoF0SfXnCGkaT+QFQ+uqGhHtlsM2g7b2lrREkwLvr26os7zrkQXhjgo03rdwyzKY1ULIaenSqhtKYwVOAQ66MPJ7Wfp7kHQwqsVlqjc0kpypPpqKvOtpY7wIwVmzcicPK48vjTMPHgw6Fcp0WIpG0ILNu0Ab4qWHrMljD0gNa7bQ9oF0SfNCkim9borzVDEGFN\\u002fZZP7l5Y+Pxnp56N\\u002fp27ozGfw+razTuEUgBGzLTQpaQUijW01goC66LPpn4u19SBzwjF0lGNVUIQBAl0Kytve1sibG5qRFM+B9uw8JOTz4IVS+zUImQAEISs56I20wgBwYZhiFBQr22O3Q7QLoheJJsQ6KZZg0C0oaFuhzBZawgS0L6PQwYPxVcPHY2Mm4frB2jIZQESLd8lANCMsmQKSTvOAIMAX6lskegdM\\u002fr\\u002fMiZFP0LmdWEYgglRphvRNq9HMSEq53lodvJwQx+HDRyM4w4+HJzPQ4qdGPFCwPE9bGpshCElSykgCJ0BYEbn9hNiaxdEL\\u002fjiwIQuXOizs6mpsTDk7iwxAoAKcd7YI5GwbBAIddlmKL1tGKWwZ3RKplra94AoG1jpTGFPn8MVdeAzQ2FZZ9lWNptzGMyyLJHiHZ8xABLIeQ6anTwECLZh4qSDR0BYO0+bBRG8wEdjPgspBEtDglhXAMCEz+mSPg+0E6JHs6rQKOOCqETWcwFwmzwkIqgwRHlFJUYOGoJAhZBCoCGXQah1ISTXsjXAQEki2SI3xMxOb7fyfyp8wlMiEYZCBd2X8dyo2Pq5WMX3JZzDjigu6xQCgDwioCyRQvRibH3KRTPcCXzkPAeGIZH1XIwePBRl5Z12KHGNvhQ540KlWiTCBQloRgpAu2J6u+rUwoLiBdMaWTe\\u002fM55DEEH5Hob0GoY+lV3gBj6SdhyO7xWccDvO6AnLjv5KBEHkwPdb2fZfHpiZMGOGpKqqENO2+f0Xql9WGGC3Kc\\u002flmhoDEyb8T1T0GRJBqOARUSxp220\\u002fNyKEKoQfBpAkEIQhelVUYkBlV9TXbQHBbMOxS2AVIu+7EEIwBEEIigHA668v+d8Y7HYB7YvozNGToEi9dUc5xwhFpZg+lV1RmS7BxsZ6EAFuQSJqR3ds1EGViJgIxICDLVt0q4+\\u002fcESz9tRiYka4cdn8roYIRxmmNJod700i2qV+7P\\u002f9eURGDhHx5mUzxsas2JBQ8waBcDb1Hduw7bl+eYlFOtA+AS4RlVqG2dZoDoAQKAWvVUkqgTCwaw8s\\u002fOBdbG8FoOU3vI0MOOuiRXXI53ItnwfaFdFbp8DJjwmJFB0vndMl2whFKqV2JHoBopVoBTP707e0xM+\\u002f0NkqMomni+LsWb98bl8m\\u002fpZh0FnxeHogCYIprfoty2dd1nnAuAe+qJl9y7I5tyWTsctM04DSDM\\u002f13qtfMefvFoJ7iWhjdO7VEpikv4wZnnWoGawAasl8bAuaGVoX0qURWX+V6ZLCiIadPG1CcdwoLAH+p5Z1u4J2sUYvgkCFmnCGlB9DdACQEmWJ1DametuFDtEPr1UmFRHZk7Z6VL+wST1S0CEmmqw2rZ63V9Oa+b9l4ndS6eQ1JGhgNueETU2ZAOBOpmH+rnHVnIFFEcXP43xqamoMInDtsrmnl5SmLnNcT2cy+TCTzSkhxdBEKnm9C\\u002fO92lVzf1W3dGbvojBHdXX1F66rFigyicgCGG748dIBrcSmACKUJVM73ZYRTRpmpHdArBkCwgGAQw7JfOlLll1Fu5rRGZylgsxqSSy5Qwhl64YRua1WiTEMQAjaCW0JOc+BZk2aAWIkl\\u002fZ0JIBwJzbgZ4qCY4uISC1Z8HRJl56dLhZEl8ZidtdMNgcn7ynbMCjrO4ZtmnBcNygvKylpas4NAbDs8y6jZYFxlmUqMLQb+mbCtiGZdHMmx4YhOqWTyaty+fyZTWsW3JrdtPnugq6eQNQz6wshgzDJZNa21oy86+5Ui7focG11dR9Tv04AawgpkSr0d2PNIOaoRcyMz\\u002fIKPl+0kxl9aiHczQ2gyDQvSyaxUwoSAczI+16Lmc5gWIbRxncij17ecyPp3+i\\u002f5CAz3spW+\\u002fwwJSrYYSLSdStmHdu1V6e5iXjshlDrrtlsTpUlklybaZKPLJgl1jfUAQATCfL8AOxz3ed5bhMmRD8JvBHMkgjsqxAvLnoT8z\\u002f6QJQk4tKWJjc0NYdEonc8Hrst3a3LjOZVC8YWxDP58\\u002fbOF7XWlSYTgA0wnMDHzh6cISRMI0qBpkLEJe\\u002f7be+8cOaWNJCOxcFak1IKzNF9n9GOmN5eiA4AkESrC2tp7lpahp0tqqJ0R42s625Nb2RGwopt06ihNYoPm5nBQHJzrmjtfH5MZ66W06ZN05sW1aTqV8272bTsp4QQwxqbMyph2jpkLW98opqufuRe9O5UiQFdu2sAulNFmZHN5R\\u002frtNeoVyIiTfqc1owTFDMTmeqB+obGj0pKUlZpPKEO7DuQ5y1ZjIv+fAfeXbOCOqXShlZK1zc2a8M0D2WBF7esmD1txYqaWFEg4vM5v5Z8GUhD24ZhWFozO8FOiMsMU0pYraoaGYyGXCayDtv6jtaI2xYq06UItYqILsUmAJiwZWi7Md3bBdFbdchYVVQI6VvZdbt4+FZEHVoUNjbWgznKedaaEbfsiPjb2\\u002ftEaMxloViDoxRbW6dE58\\u002fzmop9t9e+\\u002f9LeRsp6KZ1KXul6vlCh1qlYXD7z1iti\\u002fLWX4rm3F+KGyedj9N5DlWFIYZqmrKur\\u002f4PBiW8WHXafl3lc3G9Fr\\u002fFrQsKxecd5Np6IyS6lpXTlCafxgf32wkm3TMUVD9yFrO+J8lRKZLN5FSpllZWW\\u002fKxE2E+uWzS7T6TN\\u002fjmRvcB0ragimYiDiHRdppm2d7oWB3\\u002fLMBAzTWjNRcMPK7ZsbLECt7l+ANAaCdNG97JOxQo2HWi9Jjp2+9EpaBdEL47aodarpRTQAPeuqAQZZptMjxwoEhsa69GUz8OQEoo1yhIpSFEMqxS3BUACzU4edZlmEkTQzJYtzD6FTT5z07O6OiL5po9mjS4tST+TSiYOq29sCkvica7NNInv\\u002fOl2fPUXV2Fov73w1FU\\u002fR5fSchVCSwBrAs87o7Lf2Is7DRzeFIW+Pt81cNH87tp3zLKSnocfl8+7PwGR56mALjnqJP3Xi67CfTVP44ifXYrHX1+A0mRSEsANjc1hOpmYmC63Xtzy0exDIrLzZ0\\u002f2QmacIag3c7EOohYo9NjbBgWrLh2LQ7GGIAE38LGmdkubkZjid7qVdUIqFi+6dT3KBSuiD9tPenS7IHqR6axorev6rLQSnRIl6FXZBax2zGgqqsysqa\\u002fFpuYGWDJqxVORSsEyzB1ndCHgBB7WN9ZDCsmmaRC07h19+NkWLtTU1BiTJ09Wm5bMPC0es58FoX9Tc1Z1SqWNp956jY6+6Wo8+OR0nHHkSfjLRVciVEpZMVOqUL2ay7jjKwaMrY46lzDtzNr8rFEgu2Bm6tR31I2uG56umRsyviOOGHKAfuLHN6A2l8EZN1+Lq\\u002f52NwKtKGHZRkNTcyilHCRN+eKm5TOPjnTZP+OZvZAZB1a9mQE\\u002fDLG5uQE7js9R\\u002fXnCtpGOJxAqBcs0sXTjOtTlMgXdwR0uHGCNYb36QhCxYUowsLzLFtQW7stneimfJ9oH0QulogHCtZ7nrRNCiNJEgvfu1hNoI3VRF1RD1mxah3UNdbAKOu6mYaA8mWojaYaQ8zxsamqAKaU2TQOaUZjRP7vChZqaGqOqqircsGz2iYlU7K8MTrmur1PxuPzlk9U4644bsPyjD3HiESfgzm98D34Qqlg8JvN558Xahk0ndd9n\\u002fAquqTGiziVfbKx6q3OtxugycPSToRccSaAVjgrE4QP30X+\\u002f7GdIpdO44x9\\u002fw6m3XYeVtZtQmkgamWxOW6ZRFrfs6g1LayZ8Xma80tRPCIG6TDM15\\u002fOAkNuM50SI1tuWhZJYHIFSiJs23lu7CplsBiSNnZru+\\u002fXuDykEG4YJQbSQqqrCoirxZ30dnxfaCdHBzEy9Bk1YT4QlhmmgLJnWw3r336nipyCCcj28u3pFy+8MIVGRKtQqb91xob2yg\\u002fUNdTClwYYhQcDe0RYTPpOHycyiqqoqrF02+8iEbf1dKU6EoVK2ZYrLHrgT1zx4N3w3j6H7DsMd514EQaRiCVv6rjejk2GfPHD\\u002fkzcxV0epsF8iiKpCrqkxugwa\\u002f4bjOSdrpda7KhBHDjlQ\\u002f+qcCyESScx9ZyFOvvlneHXZEpSn0iKTdzQJURqPxR6tXT5rxGdM9mj1RRgmQdjU3BhVKEqBHXjIjFQsjrhlF0pTGW+tXg64TtQnffsdM0NYNvbv0x8A2DINEOHNwqfthTsA2gnRo9lrRtTvDPS+EFH+2oH9BoLiiUgfDG2Y74bE84veaImTGkKgIlUSSQhtp+EN38eSjevAzBQGCgzstWTJ03Zkbv53IaJi9lrj6nl7CUP+XQhKhWGoDSnlxffegbufehTSslGSLsVvz7sEXUvKtTSl9Dx\\u002fkZfxzkKPQ1xeVG0Bk\\u002fhLLGpBZL5XS0yYoJiX2N0GTnjX94JJAmjMBq44f+xRfOExpwBCYtnGdTjttqmY\\u002feEiVKTSIue4yrKsCiHNB1d\\u002f+GLPwpr9v7qOQnss3vDR3C6aVW8pBFbXbqbaxvpt+vC1gAgVyZKC993AlkwT5nz4HmBabXTuEdCBjz7deqJPRRf2w1Bks3kdKH4\\u002f2qJ9SQO3C6JHmFAcuRd4no+c68rDBu6N8tJScBC27TKTEguXL8W6xnoIIWBIA13LOkWOmlbbR4OCgSUb1qExn6MwVNDMgzqb5d2jLf7zBg7FQaJ2yYISpfTf4vFYZ8f1VNy2xOUP3IUHXngSVioN5bm46qQzMHbwMHaUL3So6rx8eHLXYVUbiUjTsMl+ZD5PVoUe4l\\u002f4ArHV8ZlosAcAXQeNn+e67tdMQ\\u002fpeGPI1J5\\u002fB+w8YDAJjS2MDzvndjXh1xRKUxhMym82HqVR8r5gZu4+XLLGj+\\u002fNfOTsJAAzJQ0Eo00pj+eYN0PkcpNh2zV18eXp2qoBihmkYWLFlE95ZuQywrG1y2QubAkGAA\\u002fr0R5\\u002fKLkySROAHq2OW+ToAYGr78bgD7Yro0AAQsPmi5wVZJlDfis58cN+9QG3M6JoZZJioa6hFzeK3kLRjMKRA706VO+iJ6YLz7v31q9GUzwrWrJOJeGfWquCQ+68yz4iItDaCG0tK0odlMrmwLJmU1z\\u002f+CO597p8w06XwnTxG7ncwvjvxK2h282ybZuiHwS+MROjXr5z3tbpVc6fVLp\\u002f9UP2qefPqV819evNHM47\\u002fIpJRiuApUYrtpuUzz61dOaemftXcBbUr5\\u002fyzfsXcX9WumPsNU9qLXc\\u002f\\u002fE0mi8mSabzjzGzAME4ZlY0PtZpz\\u002fx5uxum4zYpZlNDQ2q05l6aNq5aafRDn6\\u002f00jhBmF7+p9S1NpM++5avG6VdRmRx5mgAT6VHaBZg3bMPHkG69AeW1LSWlmwDAxYcj+MKXBIhKdeLW014g6rq6W1M6UgdsN0YvOp679R2yUEjMty2QpDP2Vg0YURPl3\\u002fI4UAtrz8Nw7b8D1fViGiV6dKgsPfet2zAxIA2trN2FzcxMMKdkwJFjSCGam\\u002f9RKi8JopGtXzT8qZpkXNWYyqjSZlA\\u002fPn4WbHnsQMhYtOwzLxpSvfg0J22YQhOu4ARF9XWh7jR2zHozH7J8lU4kzE\\u002fHYyFQyeVw8kXiiYc38U4mI+XPOK2dmQdOm6bqVs68sKyn9SyqZmBCLxUYkE4lTYonYVYlE7M+a9AoCTfQ9n7OeI44adhDOGDMRYa4ZVjKFpSuX4cJ7fxtdq5Aik8urWNy6srhe\\u002f49y44kAFFoYMx1qWSa8IOBFa1cBUu4wQxe\\u002f07tTJQiEjJvH0++8unVX21+3Ukim0pg49CDkXEcQmAA8+T9Th\\u002f8p0W6IDkReawAAi2dty6QgDDFu72GoqOwCHe7ofVdaA\\u002fE4Xnz3dSzbvAFSGuhcUgrE4lB62zirIAIHAeZ\\u002ftBiSiIIgBIiOJSLGpE+fecbMNOm997h2yYISofVtJARZwqAPN6ylHz54V+TokQZ0PoeTDhuDsXsPQ9ZziaOk\\u002fLhpWQcxM3wv0ByyFpqU5\\u002fqqOZP1LdMUWqmreMnTNiZN+tzM+MIaWG9aUdMNED\\u002f0\\u002fUBns06IkJXBpHSgtOd6GgCkIfcGIMBAoDW+d\\u002fRJKCmvQOC5MFMlqHl9Pn75ZDXSsTj5fkCGYSQY4vaFC+8yJ\\u002f0n91drIpqma5c8XQLCGM\\u002f1saGxQURE39GDXjTde5RXImbHMPvD9\\u002fDeyuUgO7bDoCCFAHwPRwzZH\\u002f0qu7AGk+u4zdr3a4iI0Q4berQrom8plI5qppeamzNNAYdy35599Jh99wN73g6lq5FH3UBTQx0ef30+IAgVqRIkk2nwdp05om6qGjWL34YgQUEYgrU+YOOy+V3\\u002fQzOZaNo0TVbwnXRJaqjjekoIIX76yH3YuHkDpG0jDALEUiW4+MgTI8VaraG1Rtw0EZemFiSQ9Rwx6\\u002f13xN0vPy0XrVslDWlIPww0A2Wr7XSCiHjq1M+rCWShxiA0Kpg5EYYhBSqUj742W\\u002f7muX\\u002fJhcuXCCcIhCElEobNUQ45kHUdHNR3L5x++ASw70c9x2MJ3P7EdMz44G2UJhIik82rdCpxeL+KYWf\\u002fh5ZJlOxmlww2pLGXYPC8Je8Jx8mDtouJU6FLTzKVQmW6BEorPPbqHIT5HGTrLrxoVZFOAicfMgq2YelkMg4NPFkxaMI6njJFtDezHWhnRJ88OfLUVvYf+T5D1MRsm4mIzzx8AmDZLf3RtwEBEBKPLJiJ2sYG9Knsgk6p1DZtcoHCBCAl3l2zCmvrtwAabBiywpB6bLTFjF1+EYszYfP6Nzqzpiuy+TyXJpL06Kuz8MSrsyASSbDW4MDDqH32w4iBe6PZySMdj6MknsB7a1fhlqcfE2f+7gYMuuxcXHLvb2FIiQGduyFUoUqlkkKA3u7bd2wDM4ui1NZnj2nMDKrzNiwFYUkyGSfLMILh\\u002fQdj+eaNOP7GH2PYVd\\u002fCt++5HX+a8QxtbGxAWSKFmGnBDTycO\\u002fZIWIWoCEsJ13Xxs8ceRM7zIIVAqBQD+uplyxaWYtIkPWXKpym3Laq\\u002f0pGGaUAKyfOWLgYKkk+tQQAQhuhX0RWVqRIsXrMS\\u002f1o4r8Wy22ZbIrDnYkDvfjhqv4PhBK5wHE+zRjURMSa0L84U0S5PGgBI6\\u002fuYmbKOI44ceiD267cX4Hs7PGStNYRt48OVS\\u002fHYK7OxV7de6JRKAyrcxtRn1iDTwprNG\\u002fDOmhWUtGMqkYiTACZGW3yqXlsCAEIv\\u002f52S0lR3VlrXZprEL598FMQFEYPCsc8ZPQG2aSIZi+HVZR\\u002finN\\u002ffhONv+gl+\\u002fOc78NzcGhx3wGF46uob8I3xx2jbNFFamraaGpsXhWFwbcu9+Nxy3cEA07Bhk31iXJzLO+tL0imrZ3mF\\u002fs05F+pHrpiK8lQa1c\\u002f+C9+961Ycc8OP8OOH\\u002f4z1DXWImxb2790f44ceBLgOCAwZj2PBojfx8PyZSMcTMpPLc0k6PajMCM8kIh469NM4PSfpKNynTrBNAxubGvjN1VFn3R2vg4AwRK+KzqgsKcM9Nc8g11gPsZMQHCuFSSPGoEd5hSYpEIThRw1h87MAQFXTvtQ8hv8U7ZHoDACOHXvRdd0PTNukkkRSf3PCMYW2yG0pCBEYhD++\\u002fBS0DjGgc\\u002fc2dyqlhHJymPvhe1BayVzeATNOalw9r9OuhrQKs7na8v6ctGI+33E8TsXi9Mj8mfhg2YcgOwYCQ3ku+vTsg6P3H466XBZX\\u002fu1uTLz+R5g+92XUNtYjUVqGX1\\u002fwAzx4ydXoUdZJeToURBQ2N+d+I4RZ1WWvCUuLlkN0XBAzi+rq\\u002f1y4kZkjAchW8e3idVf0HzM\\u002f52ermrO56SRJ5AJPHDXsIDXj2l9j8nGnAASs3LwRt\\u002f7z75h43VW47Zl\\u002foCyVwqmHjo6Kj7ioziLxm+f+hS3NjYiZJvwgYK39i5gXmpMnT96lwZSZJRFx7eo5B0khD+aQsXjdKvH+ymUQdqzNWRqhj3169MLmpnr8fd4MwLR2yKehgp+mU0VnnD36SOQ8j+N2jATRPYMHH+99nlV4nzfaHdEL62XZs+fwvGJ9j22ZyHsen3boGOzVdyC07+4QLtFag+wY3v7ofTz1xis4dOAgADumvCsd9WD75+vz0ZDPEWvW8YTdww\\u002fVxOLhd+UUAUAmxYnJZHxgGIRcl8uKe2Y8G6VZgkEUOXuOHnYw1tXXYfzUy3Dnk49GXxUSlZ0644FLfoLvH3My5z1HWzFbBn7wFrM6oqLfqMtKeg6vZY7q2AEUmlCCiUhPnhzFuT+t6gwX6+Kj7xcGj2jAKOa69xp41JKKvqMmB6E6QwXBei0gU1ZM3\\u002fvtK3DVV\\u002f8PRICZSGBDUz1+eO\\u002fvMOnWn2P\\u002fPv3RpUsP6CAS5hS2jSUrP8LjC+cjYcco77iwTfuA2tX+sdEhd4FMhdY9pOmYkpJUQjOHz7zzGgWu02YZsi5EVYb06Iu\\u002fzatB3aZ1bUo8CxJg38NZo6owqFsPDQGRy+XX2Gw8WCgHbndOuCLaHdEL0ACQa1T3ZjK5NRAQXcvK9UUTTwCU3oksIAFK47Zn\\u002f4V+ld2i\\u002fmvbPWhmBkkDyzasxfylixE3LQYRk6Czdv3UpkYnqPU5AHEqHucX3lmI91dtTcxQWsFMpVGXbcZXbpmCD1cug5UuhfI99OpUiemXXoMTDzqMG\\u002fM5SibjIpvN3yPYr+rUd8zswoxLrYUYado0XVNzX6x21fyj6lfNP2nFmzVlRNN22RvPzETTpuk1b9f0qls+e3LT2ldHtR5IgMLMPiUqpqnoO6qaWIzy\\u002feCJeDImvDBQ1086j68785sIAh9SSMh0Go\\u002fOeh6XP3gXSmIJFKd1KjyLv8x5EY7vEYFUMhmHUHxqdKT3+GOTaAigyS2VcJM9z0dzPieeeONVwDTbSHwh6DBEsrwCmjV++9zjIDu2g8kebeejrKILvnPE8fDDkOMxm0Kt70\\u002f1H7GxoOPX7pxwRbRLohdnmP4HVTUKQb9LJRKUcfL8tdFV2G\\u002fQvtCuE6W1toJmDYonMPO9t\\u002fD26uUoKysHa7XDvoUQgOfi8dcXQAohHMeFKWRV84r5+wL4WD20KNV1mm5cPW8v1nyY5weklKLpr84BBUFLVIABhCD889U52FxfC5FKw\\u002fccdCotwwPf\\u002fylG7rUPN7l5JGKx0HW8Syv7j\\u002f5O1MKZRWHG5cLxoqy7D+fve8igIXMNgeekpMcruiRf2fLRnOG7MrMX00hrV8w+tawi8aY0zUeY1Zy6lUc9v3HZ\\u002fK6FJUE0s0+bVlSNkZ0GjF5V1vvwk13XvyWRiMmmfJ5\\u002fdOJkTJl8HpTvAlpDptJ49YNF+GjTuqjfHQqzq2Xh7WUfYt6S91ESj8um5iwg+Lj1S97oHA1gO584WUf3v37l3GOEFAeYJHjOh++JFRvXgoydKKOpEBXpEjz\\u002f7htYvX4NyLTaJDp7Hr4z8Tjs06M3h6xkJpOrywv8Mcq6+LzEPb4YtEuiA8DUqVMxZcoUYVr6vkwuv9wwDSpLpPRVJ5wOCNlmbmXx4d438znEC2u0tktcLbz07uv4aNN6MkjqZDJeFpA6h4i42AeuTcyIMrVCxeNKStKdDBLqgw1rxLwPF4Ht2DZRgaJSrTRNIAxhGibu+vZlGD1oX854LgwhtePkzu3Ub\\u002fQdzCwKklM7vGzMTLDV3elU4uAgUBwEoUomY4OFxB+i9r5TdxoaLJJ848b5XQHxJ2nKyiAMdRAqruhSMdGSelqhFHab94SIVOQLmEJlvQ+\\u002fsjmT\\u002f0kiERPNTl5dfeIZ\\u002fK1jT4Fy8gAAYVnbHxNCSnjZDF5Y9AY0QH4Qcjwe7xo33THFQ7R9viBMncRTpkwRSusLkvE4lGb1+OvzofJ5SLGjc40LGW6bmhrw\\u002fLuvgyx7h21EYSk1oHd\\u002fXHDECXB8TycTcZCQN\\u002fftO2Y9CveprXNqL2i3RJ82bZqeOnUqlfQYtyUM1I22aYpmJ4\\u002fTDhuD4w8dDe3kdpjVAQBCYHNjAzY01EU1yNs9dM0MadlYt34t\\u002fv3GAsQtm7K5PFjj\\u002fMZVs8tRFJlrCxMmFBRfeDyzZlNKLFy+BHW1myHb8vBGO4P2XPzo5LPw1UNGc5Ob1zHbYt\\u002fX3+48cMLfC8qwetp2sdui1tzGZTOGQvMhjc1ZLQhERNTcnGUAe9eXNA0mIp4+fXrbz7nwe+lhhGHI8lzOYSmEICLONWe1Zn3k2sUvVLRV2DN58mRVGERE14Fjb8w7zs8TiZh0fF\\u002ffOOl8jBh6EJTjoK17pZkB28Yzb7+GZicPyzC0IGIFfWxhk53c4GqBqeBLzz1yP9u2jgz9UC\\u002fZsFb+6\\u002fW5oEKWYZsgguf7yLkOuI0ifgKglcJVJ52BPhWdFRlSZJqzH3RKm3cWRS7b3nH7QbslOhDNLMxM760O\\u002fpLJ5uYnE3HBzGraqWejtKwSOgzaLGElKXeuKIIo1AbTxL2zXkB9rlkoxTqZSnQLIb4ema6P7GC+R8YBMfMSWzOPd12flFZi1geL2ujeGkGQgHYcjBx2MC4\\u002f7hQ0OjmdTiZk3nGv77rX6PuY2QC17YmeOnWCAABD2KMTyURMkuBNzU1Ul2ki0zBIA1AqMD\\u002fu\\u002fhUzew3SQmvNlmnShoY65D1X+l5AtmX3jycShXLdHQcLImJMnYqamhqjc\\u002f+xU3I598FY3JIJy9Y3nfUNxJNJ8HZhzMINBqSBjzatx4rNG2BEKatEhEMXLlxogki3vU6fVFCVFRdatpUwpcEPz59BzQ31IKMN4YhtT7ZNoQghokjLMYeNwf+NmoCmfA6mlETE06jT8Kbp06e3+9kcaOdEB4Dp06eLqqqqEEJco7UO3DDAAX3687Wnfg0cBG0Suq2ZtTU0M4RlYemq5XjyrVdQkkjA930mje83rX2lInIYbWcO8xQCgIbltYPB1FtrDTcI6NXlSwCxo04dEYFZw7RtXH3ymUhYMR2LWTKby8\\u002fsMqDTLwq+ANWWLF507BbrYaxpGiSF4HfXrMDGpkbYkYpOKIX0ga1tp7dHSztqwFFaUdy08fqKj1CbaYJpGNq2LcHQhYhD2\\u002fugadP0hAkTFDPIEOnv53LOkpC0GDVoiP76+GPAvrfj8ggACYHQdTFv6WLYpilczwMz+vZLB3sRwNOnb1vsUnAO6rqP5g5jga8HXsAbGuvEIwtmtSka0RZ2mMmJgMBH54ou+OUZ50NAqGQyIfM558mXXts4nZlFZLm0f7R7ohez5Tr3G\\u002f1y3vH+WJpOyaZ8Tl8w8QQcd9hY6Fwuyl3+lIjSJhXueflZZJy8CAKlS0qSAzzf\\u002fy7RNI3tzeHphWQPqQ8wTSlMafD761ZjXX1t5OHfbv+CAPY8jBt2MI4YcgCynisCPwyYcCXRML9wDjt9e4mImxa\\u002fUAHoI528i5znyJkfvAPbtLiQ162M0Pr4TgYFaCU8zQxDCtRnM3ht2RKYUpIfBCAWJxUGtY89F6BalPXdv0EpvloIwV4Q4DtVxyFdWg6twh2mZ0kCCHy8umwJBBF8P+BYzO4kbD0AADrv0JI4ur8s+OpkMp6wDVNXvzKbVqxdCbLttotYPgECkUf+mtPOwZCefdjXgcg7TqNhiMsnT56sphbb+O4GaPdEL4CZmWwDU7PZ\\u002fAd2zJbMrH955jfQrUtX6MBv04T\\u002fOCitIWJxvLL4bTz6ymykY3GRyeXZkMYltavn9cSkSZpbp2xOKryYQgy1YzZsw9QfbFiLXD4XLRV2eBEj7pw3diKkECqdSkKF4SOd+45ZuAszCTEz+bH46Hg83pW15k1NjfTqsg9RUkzrZFZs+J+QxTU12plBLhiaAdimiWfeXggiIs\\u002f3AeKhW5bOO7AY6dj5vibp6upq2WVN+G837842bUPs3aOXOv6gEYDj7NB\\u002fnMGAlFixeSPqcxkypakSiTg082AAmDBhq7JPFM2YrJrWzB9hWsYk1\\u002fH0hoZ6+dvn\\u002f10Ik356kkshoPJZfOXw8fjm+KPQ7LgqlUwQh\\u002frasj6jPqqujqS4P\\u002fWO\\u002f0exWxC96HAq6zu2QWu+XBApLwx4nx69+RdnfjN6ERg71Kzvwn5BINz27D9Rl20i1tCJZKyLDtVPiYjROmVzRvRDh6qfEAKmIXlN\\u002fRbA21GmiARB+T569+iN4f0HIdSKgiAIDUkPcNQ99ROeS7RulEKcSQKcsOP65ffeRtZ1kLBjEYmIQuXraEbfycxU\\u002fLVA4ACkNTPKUyl+a\\u002fVyrNyyiQySqqQkFTcsfCW6xp2fVyEiAaqqCg1pPRCEIWKGSROHHVjIH9Db3P9ibcGGpnrUZpphGJKCIACB+hc2aZW0M5140SIrUOGN0jDMpB3jP814FqvXroSwdgyVfRIECSjPQ59effDr\\u002f\\u002fsmlGaVTsWNTCb31Ean\\u002fO6amhrjP6mo+1\\u002fGbkF0oMWElxX9Rz2bzzq3lpakZEMuq78+ZiIu\\u002fcokaDcXtWT6FIhm9Rg+WL4Ef5n9IkricdncnNW2ZV2wZeXcI6LEjUICS1VVWPCEd9FKwwsCWrVlU5sGr0QUztmvT3\\u002f0qeyqIYVwHXdFadJYAFCL974tRBlsk9XqD+f1VEpPCPyQNGt66q1XARDilgUiggDlmO0mAMBOil6KxTChim8mQqi0QteScqzashGzPngXCcsm1\\u002fOhmU\\u002fmJUvsSBTxY5NwNAAYSj\\u002fhOl7eU6EY3m8wl5aUQ4fbqgBFM7qJDfW1qMs0w5ISoVIAoS+wzbJFEE1WtamGbycTiSodKrVk4zr555efgTDbUPT9BERVigq2ZeOP3\\u002fg++nXuppkgHMddS6a6aNiwYf6MGTO+lEaRnyd2G6IXoJlZdDbUz5obM7NKS1Ky2cmrqaedg6MOHQNVKEv8VDvUUVz91qcew3trVyFmWpBSCEPQrVu2zElHrutovf69rx2X0kQVrDWyrkMbGuvbNC0LMy4Gd+2JhGWxFAJkGB9S5eHNQLX42JesUJKaiOmjUiWJ7gKklm5cJ2Yvfgs9yiqQtONFf3WmYtCIDH9sDDja0F3vNxKhWTOjMl0KUxr41+vz4IWBcB2PTdM8pMHYMKJA8p0SvXic1IDDN5OQ74II\\u002fbt05S4lJYDevlowapQZ5LJozGchhaCo2y26FZcIBa091bByZn8p5HWO47EppLj5qUexYdM6kPnp1+YCBO37uO7Mb+CoYQdzxnOYBHEQqO9W9Bq\\u002fhnczk72I3YroxReN+le5hkHfyOedWsMwpADx78+7GP1794Ny8jusFz8ODIY0TdRu2YifPfZXCEHCidZzB1CWf0qTJ6vXXx8gAECZToIYKQYQqBAZJ79zr79holdFJYKolxeY9S71O6dCdxYonKuVhmWYmPvhe3A2bUC3snIkLKtgRHBT4X58jLkd\\u002few90gsEiQ0MoDJdwuWpNF589w2srtsCyzS1bZvQJL+1K7NccWAhYKmUAqY0uEdZxcfOvA25LDQzac1gcKelS5+JwoIzZgiuqTFCLX4bs+3yuGnxU2+9Sg\\u002fWPAsRT35Mc8S2Ea3LM\\u002fjaEcfjkqNPQmM+p8vSaek77o2dB459gpkl7SZe9u2xWxEdKFZbVcuyvmOWKfA3wcwBK92rUyXfd8GVKC8pgwq8NnXCdgalNWQihScWzMSDc15GWTIlG5oy2rKsK7csm33i8OHDA2Ymky0bzEnWDD8M0ZTPRzH0trK1hCh26CQAEMzNn3QeUVkmqGHdvINJ0FjH8eAFgfzbvBqQZaNbWTk0uHC8qGf5J+0yumdVITNtJAEk7Rh6llfAa6zHP16bg4QVI8d1WQhxTP262X2i09gV9VbOUWGpVBJPFojetjFQm2kGUOhUSlQ6KFYmisuhzX3EValU4gTX9VR9LiN+9uhfEYZhoSJx12dzKSVULofxBx2O287+NrwgCEtLUrKhKfOPyoHjfhZdU\\u002fvNZf8k7HZEBwCiyaqmpsbo3HfMv5UKrixJJmTGcfTIQfvg7guuRNyw2k7k+BgwGCwkfvboA\\u002fhgw1rETQtREp1516al8\\u002fYiIpaWskEwCECgFLXu5rrdGUb\\u002fz1v3DSE\\u002f8WSi5A2wCtS3k8m4TNi2mr90MRYsfR8cj6NPRRcopRD5z3lF4Usff13FgYb0SikkBBHv1a0HoBmPvToXtZkmwQo6lUp04UCeSUSM6TvvXlNUuyFga0zx466MCFnXKZSxMgCYSAiTiHjLylkTE\\u002fHY1Lzj6qQVEzc98QgWf\\u002fQBRCy+Q+XZx0EIAZXPYche++C+C34AyzC1ZZtGNpd\\u002fx3fN7xSeRFtJc7sNdkuiA0BVVVXBOTfu1qZM7u6K8jLZkM2pkw8+HLecdzFIM0TUvGyX9qeZIUwLm7dswCX3\\u002fx6BViIIAmVZVndp8V95ydO2oyhkwNz+bdnh7SEAWqPJzUOQKPRW4h2L5Fvvg1lMmjRJN6yY308K47S847IgosdemwM\\u002f0wjDjqN\\u002f524ItSLNDLBcBGBry6KdQwCABi02TAkhBA\\u002fs2h2IxfDWsg8w68N3EbcskXdcaK0v3LSpJhXp1LVN363rW9G1WBfelM9iZ51vo\\u002fvTMuIBzDYqRuTq18\\u002fta0rr3lBpK2nF8Nhrc+i3T\\u002f8LIp4o6A7sGqSQ0K6Lnl174MHv\\u002fhCdS8o0iITvB5uDMDi715ARdUD7z2X\\u002fJOy2RAeKxVIsHCkua2jMPN2prEQ25rPhtyccgylnnAfle6BPEXbTWkPGE5j5+gJM\\u002fceDKIknZVMmq0vTqZENZskdVogQjEAUXuqdmZaCCAgDrKuvhVlwDhJjYPTpzolJRKxIn5NMxjsLCL1yyybxz4XzAMuGbZrYu0cv+KEirTWIeXH0rakfe00zZsyIZmDmj7I5B4JIDuvZl6E1mDX+MvMFaDD5vq9TyXh\\u002fwzHPKibIbL+vIvmZF5qA3icMQ\\u002fhhKNY31H9syrHW0SULKcBAbvPKGZ0RiodMy+wjIdTSjevE5Q\\u002fcCbAuTLu7xkkhBJTvolNJKe678Crs070X+yoQgigXKveMbgMnvMsFpd5d2mE7xu5M9BbnXJ8+oxzHoHOyufyCklTSaHTy4Y9PmoyrTjsb2nNRUFfYpX1qZshEEnc8+SgenPsyKtMlor6xWVu29R1IuhHEOSKKmjWKqGxy+z1ToXnfsk0b4AZ+sWHEXtlNr3RrS8lmqwbdrM5gviiXc5C0Y\\u002fTg3JexZcsmgAT6d+mG8kSKSYCCINziMW8CdhpCb0FRcBOSVruu3yiEoL6VXRFPlwLSQM2iNzD3w\\u002feQjiU41IqZ8f11CxcmClJO2yexAwDqVuUHKc39iYE19VtQm83sNN8fAExZEPeN1uhKsnlfPGaNdB1Paa3lJff\\u002fEZs2bYBso\\u002fJsZ4g6rQQoiSdx73d\\u002fiHF7D+N84LNtWaGT987r3L9qBtfUGLur82177NZEByLnXHV1tezTZ1R9zvMmua7\\u002fQTIRM5rzjrru9K\\u002fj8q+eBe27kNixZLUtMDN0YdvL\\u002f\\u002foHzHz\\u002fXZTE4iLnumyY5v8RqKcXBLAMQ6Tj8R3aPwGRZQDLxuL1q7GmfosghorH7J6+qw4tJMxsHxYQABB4dEk6nexODLWqdpP46+wXolhy4GN4v0FI2LY2TRMk8G63gXYDsDVWvjMUE0M6gZZJQWtZAL0ru+hB3XoCWsHN53DnS09Bg6WTdzmdSg6Ld3bPbasqbkbhvCWJY+MJW9qmpd9evZyaMk07z0dnRkk8DiGIgjAEEXW1Y9axzZkcJ2xLXvXwnzHzrVcgk8mdV6dtf7OEgA4DxG0bf\\u002fruVTj+gEM547s6HrOF43rf6zp43KPM\\u002fKX3sfsisdsTHdiaD997cNXabC53SuAHKxKJmMzkHXXjGefjspPPhHLykfrJLpKdTBNNzU049w834f0Na5C245R3XSYiQysFUxpIxxMA76h4U1zvL1+7CovWroIpDRiGIVjprxIRT50xQ7c6liAiVbt6Xk8S8qJczuGEbYtHFszE6rWrYNgxQGscMmAQ4qbNpmmANb9ONDyoqakxPmntWRSSoD6jHDDeUVqhR1kF9unZB\\u002fB9yHgCTy6ch1eWfoBkPAHX91lruqphxZtlk7bTlJ8wYYZmXmgqhRNNw4BSmud8sAhcCGnu7ERKEsmW5ZNmhuO6ujyZol8+UY17nvknZBSd+MTnAkTFMjoIEDNN3POdH+CrB4\\u002fkRifHqXhMuo5zZef+Y+4sFAzt9uZ6a+wRRAe2ht167Tvxw5D1Sb4XrIvHbZnJO+qGyefj+yf\\u002fH7TrRGv2XSC71hoyFsPaTRtwzu9uwobGBqRjCQqVgmZG3LTQOV2yTefW7c4HCBWefGMBCBC5XB4QdHr98rl9p01rLQMVebh1oK5JJuOdCdDrG+rprpefAVk2At9HqrwCw3r1Yz8MZDabZxJy4ae5N9OLGmwCNUpraNY0fp9hgGWBQPDdPH77wr9BYOF6vk6nEv1Dzl5FRFycxaO17jRdv8o7VJrGWNfxeGNTnXj23TcAO7ZzLzkJdE6XtvxTaY1OyRJx36wXMK36LxC2DY1PrjgEojg5Bz7ilo17LrwSk0eM5UYnr0uSSZFx8tdW9B97CxfSW3d359v22GOIDkRhN66pMSr6jF7ku+EJWvPaeMKWec9VvzrrG7h68nmRiKHWu1QEowrOufdWLMWZv70eG5sakYrF4YUhknYM3Uo7AWHbYbxiv7en33oNq+s2kyChUqlEWpO+uLCJiNROJ6v6VXPGxuP2N5ozOZ2y4+LOl5\\u002fC6rUrYdg22PcwsFtP7N+7PwJWFIaqyXeC1wBgwsek0rbGpELnEWY5N\\u002fBD7Qa+qBp6IFLpEoQqhLDjeOrV2Xhx0ZsojSdEczbHtmVd2rDilQOrorRYUfTua62vsG1Txixbz3j\\u002fHVq9fjVoJ1puSilYqRTKk0mEOhogOyVT+Nu8Glx27x0Aicj5tgskjxxvPtLxJO6\\u002f+Ec4c8Q4bsznOJ1KyFwu9\\u002fMu\\u002fcb+gpkFqqrUnkZyYA8jOgBE+drVsuveY99uzuZODLxgbTwekxnXCaedejZuPPsCSGZopXYpqSYiexKvvf8uTr91KlbVbUE6FodijT4VnQFjx5ccKKSAmhY2blqPhxfMRDoWp1ze0ZZlfmPzR\\u002fMHEZGaPn06mNnUmm8hEpZtmHhnzQq658UnC8Uc0Sw5fp\\u002f9kI7HWQjBQuDt7vuMX\\u002fHxqa\\u002fbobCOr+hXsZyZXzUtAz3KKtToQUMA34OUEr4f4Pp\\u002fPYyc6xCBtGWZScXBbcwLTbz+uiQi3bBi9gTLNk9yHE+7vi\\u002furnkWxNy2+AcAKIXupZ1QGk8hCBXKEyn8eebz+OYfb4ajwjYVgNpC1GPPRXkqjQcvuRqnHDySG508p5MJkc05P6voP3ZKQTuP26rv3xOwxxEdKMzszLLX3lVvKU1Hh6H6KJmIGw25rLrqhEm47fxLohZJYdC2HNV2UFpBJpN4c+linHrLFHy0aT0My0bfzl0hk0lordqc1RkAGQb+MvN5rK3fIqABy7IrIIJfApFvYcvKOdeVpNOH5vOOMqQUv3j8IdTVbQEZFpSKfAUnHTwCgVJs2xax4keBSJBj1+9HYZ1Ogz3W\\u002fKyUEknb5qP3OxhQCpoRley+9ybuqnkGpYmkbM7mwlQ6MWHz8tw1NHx4sOGt55KaxI1CCDNp2njm7dfotQ\\u002feBbWhs144JhAG6F7eCV3LyhG3bPzuhX\\u002fj4rtvhYKGMMxdI7mUUK6DruWVePjSa3HcAcN1o5vnZCImstns1ZX9Rl8XtXuaynviTF7EHkl0oChDVS0r+498P+N5J3ie935pSVrW57LhhUccjwcu+THK4glo39sl4QqlFGQihQ9WLcdXb74Wz775CsbuMyxK\\u002fwxVm+t0zRrCsrF81XL8\\u002fsWnkI4nRHMmq0rT6a9u\\u002fmjWWZuWzz0mEYv9sDmbU2XJlHhofg3+NX8GRCIBgMGeg8MGD8V+ffpzoEKRyzk5xI2XAGDSpE95Q4oZdMTPNWezvq9CY+LQg7iyaw+oIFKJEZaNX\\u002f\\u002f7YSxcsQRJOyazubxOJhLXbPlo1kSrNHlBWWn6cM\\u002fxddZzxc1PTY9SVXdy7yL5bYWhvfqhsrQMV\\u002f79bvzgL7+HEgIQxi7lsRtCQuWyGNijN\\u002f5x5TSM33c\\u002fzniuiMcs4TrepZ0Hjr+JeYrAHrgm3x57LNGBaGavrq6WvQaOW5IPcsc6rvtaaUnSqM9medJhY\\u002fHwFVPQpbwSyt1ROKEtKK0g43Gs2rIRJ918LZ564xUc3G8vQO08ilNsanDPC09g4fIlSNg25V2XpSFul8R\\u002fD4KQbGmIDzauoWsevq+Q4701Jn36YWPQKVmirZiFUKk5Fd0P\\u002f7DQbOBTeZUL8WSq6Pfiq8R4W4F53559+KhhBwNBAIABw0B9YwN+8Pe74QU+gUFhqAQJ8SgDP29oauaSRILurnkGb3ywKEpV3QlhlVYwEgkM7NINZ9z+C9zxz79DmBZIiB309tuClBJhLoOD9x6Kx6+6Dgf2HcBZ14Ftms35nHN+QT13j5\\u002fJi9ijiQ5srWPvOfCo1cs2vTO6uTn3TCoZp\\u002fpcVk\\u002fYdz88edV12LdPf6h8FsYumfEawo4hCAJ8+893YMnGtYC183JKXahka2yqx48e\\u002fjNCpYUKFQkhu0gpOmmtEeiQvv+XP2DD5g0g0wbA4CBAZWVXnHzwSGTdvNBKEzH\\u002fvZDl9fGlrjsBc7WIGj\\u002fgT7ZlUqgUnzPmCMCMGk8UMwPnvf06rn30AaTjCfJ9H9KUZQwkE6ZNb65aRr98\\u002fO9taqdveywGmRbueP5xVM96HiKZalWQs3NEyUgCKptB1cEj8Y8rpqF\\u002f567IOg7HbJt837+3617j\\u002f1K8vR0kj7DHEx3YWvrZp3LY0bZthGGo2BCCmvI57Ne7H\\u002f511XUYf+BhCHPZXXLQaa0LzQQYazZv+MSsO601ZCKJWW+\\u002fhusffwgl8QS8IOAgVJyKxfDjh+7DjDcWQCai9X7UOsjFmSPHoU9lFyYhyHW8NUE8\\u002fVh0PeI\\u002fzPaKPOexhPF4Nptfp6HF4YP21eOHHVSIhYtoIIsn8PunHsPvX3gCndJpuJ7PUghudvO45P4\\u002foKmpEfRJa2wiBEGAjXW1EPHELsXJo4xChsrncEbVsai+9KcoT6aQ8zwYUgrHddkwjG9n1r86r3b9\\u002fH2JiD9dh9bdF3v8TYhKP5k2LZ95fXk69aRpmif6QQAGkyCBZjePnmWdMP3Sa3D2kV+BdrKQhE8Mv3Gx\\u002fZDxsYrLLdDMkHYMtz7+EP42fwYq0yWUjsdpymMP4u5n\\u002fwmZTEUkIwKHPioru+KbE46DH4Y6EbcBgT91735gLiq3\\u002fM8msWKuQbrbyE0MftgwTUpYNl985IlR44NCTgADEKaBq\\u002f56J+6f\\u002fRI6l5RS3LToRw\\u002ffi9cWvQkZT0DvShYbEcjYtfW4EALQGhz4uOLUs3HPty6HKSS8wAdRIQlJCPLDMBmL2SPJ1483L3mj89SpO29gsSdhJz1s9gxEnmZSW1bMnpCMxa\\u002fO5vJKgJCwY9IozF5530XWc2EbJu785vfRp7ILbnj0AUBKCGl8bLlkITi9q+cCXej6evlffo++FZ1R897buGn6X6OkkeJ+iKA9F2cedyqG9uyrc4ErMtn8Jib8CR9fELqLiGLqwozdkc3lvy2FSB97wCE8buiBNPOtV6PZV2tACGilceFdt0AQYVNTA+5\\u002f4QmIRLJNL\\u002fvHXfcnQQgBHfiwpIFffeP7uGjiCch6LgKlYEoZ6eQxwwt8CCHQ2JQJy9KpQc2Z3NeJ6JZC48Y9Iqd9Z9ijR7pCeqmuWzHn9pLS1KWe4wdzP3zPvPFfD2HC0ANx4sGHY2jPviAiZFwHSiuUJJK4f9YL+MEDf0Qun4OMxaMa8M8IRAQOQ8TjcTieFz2ggnhFNJsH6FHZBTXX3IzOqVKdTCdEJpO7vqLf6GuK1\\u002fPfnkN1dbWcPHmyql0559fpVOoHgevrOUsWiZN+dS1C5igYXcggZBVuzWOPfvmZBqqlkFBuHmVlnXDXty7DyQcfjsZ8FpY0URKPI+u5eH3FUjw8fwZeeOd1\\u002fPKsb+GkQ0YqNkjkHeepyr5jTiwO6J\\u002fhabU77NEzegspiPr5fghBQjw452XMeG0uZrz9Gm575h84cr+Dcebh4zFu3\\u002f1QnkzBDXycP+4o9K3sgu\\u002f+6XasWL8GRjIVCRt+BmBmkGHAcd1CxVerLqSFzqA\\u002fPulM9K3sqt3QF9mMsy5k\\u002f3fFhJDP4hwmTZrEzFNE3VLj9mw2e45hGF0m7HuAPrfqWHHPk49CpkqgWLV0n22Zlemz615EiBJhwnwW+\\u002fQbiLu\\u002f8wMcOmAw\\u002fDBAWSKFLZkmTH9lJh5+ZRZmLH4H7LlAPofH35iPySMnwNE+QVPZZ3IyuwH2+DU6ADDYESIiVCoeg4jFYKbSaMpl8djM5zHptp9j4vU\\u002fwi+fnI4PN6yFYo1jDzwMT\\u002f\\u002fkJowcdhDCbDMEiU+lWPOx58McacEXzg6IijVUNoOJBx+Oc8ZMRM5z2TTNEBz+sGv\\u002fqo3Tpw8lYIb8b51PzCwiWeepXDn48LWs+YeGYcD1ffz4xMnoU9DdK\\u002fooWnwRrc71s4AQAmGmGWP2PwRP\\u002fegGjN1nPyitsHjdGkx59AGMnno5LrjrFtS8vgDMDDuRgojFkLTjLcslIbgJ2Fpzvydjj57Ri6auIKySUkIr8IAu3aGVAmkNkjIK+zBj0cplWLRkMW6r7ILxQw7AGYePxzH7H4JZP7sFF957B\\u002f787D8BKwbaxbTNXTi3lr8LipRLB\\u002fQZgN+ffwkIhECFEq6nGOL4hhVz3y\\u002fvP\\u002frNVt8tcK8o+TSJIwGK1iWrUyn63XSaPh2YNOk9Bk3lgpWjeckSu37V\\u002fENZ6xPDIIQT+NS9rBPu\\u002ftZlmHTbz5F1nZZr\\u002fSxN9WKHHJXL45snnIrfn\\u002f89ZBwH0+fPwANzXsLs999FY\\u002f0WwI5BWLHIEacZgQqhhUS3sk5QrKP7p7EOACZM2LLHh9j2aKIDMwQArRSvkFKCodGvc9eWT5k58uCoEDAMGLEY6jPN+Oecl\\u002fDPV2bhwP6DcephY\\u002fCD40\\u002fFkJ59MXX6X5BxHNBOOqf+5yhaG3Fsbm7EgC7dQQS4QSDTqcTXcjnnzIbV85\\u002fRzE+F0C8Q0TK0Ob1Oa\\u002f0P3u7fAKZh84oZBxGbRzcadSdKQaPNWAzZXB7peJyIBPwgQCoWQ9bJAfh00tmfeJWFNX\\u002fCsvGzM7+FM0eOx81PPopH5tVg0cpl0XMwLZglpQgCHzr0AcOMLoUBCImuJWVQWlMkL4T1n+kJtmPs2USfEf2QQq\\u002fN5R2YEKJLugyy4DkmRC9eWbocru\\u002fBdbIw7Dh04eV666P38dYH7+C2px7F5MPH4+zxR+OBWS8i6zq7rFizK9CsQZaFd5Z9iKNuuBoXH\\u002fUVfKvqeAzu3hOO72kAMhazvsLMX3E9v2HLijlLiWgOMV4DeJVm1McSsjF0Yp6fawzdtGHGWccEqFwp6iSFGATiEWAeTST6p9KJZBCEcByPJQkuTSTFW6uW4XfPPY6\\u002fz3kpEoAwPn3zhE8Ca41kLI6zRk\\u002fEqtqNGP7Ti1FbuxkwDAjLBmAXtOAzKK\\u002foht5deuKdJW+BTLvFt9GtrLzg9deA4LXAJ+pj7hHYo4k+vSCjJEhs9FwvZ8TjyfJkiruWVdD62o2QVgxhPoNh+x2Oi088H+fd9F14br7gadcQdhwUi6Mhm8FdTz0Ku7QMccv+XM41SpWNwQt83PqPv+GR+TNw4iGjcM6YieKAPgMgtVBeGACg8ljMPsyQ4jApJYIgQN7xmj1XbwFyjkyaflLDAmQS4K4l6URCiqhLSqgUgiCE7\\u002fjKMk1SpiFeW7aE7pv5PB5fOBdNDXVAPPHJyTD\\u002f+VXCMEw8OOcluE0NgG1DJlNgjgY7KSWCbDN6dOmFh669B7\\u002f79314573XIKw4lApgWhYGdOmOIAxJGBJSGsuAnXeT3ZOwRxN90qQoZtyY0+uTCVnLQLIiXcI9yspp\\u002fca1IAuAaWHFprU4\\u002frAj8O8bHsJ5N34XG7asg0ymUegsAjIMkJmG5\\u002fvwPG+nhRz\\u002fLTQzSAiIZArrarfgzien476Zz+OEAw\\u002fFMfsPl8MHDsaQHn1YkGAVavY8D4o1WYZRIqQoIaJib8doWaI0fDdQQihIIRATBhkG0fvr18i5Sxfj8dfmYcYH70DlsoAdg0ymoLX+nEgOgASashmACCKVjs6xIMUlhYTKNGDvQQeg+tp7sH+\\u002ffXDWTRcDphWJRbJGeTKNriVlYID8wPeFFiujHU\\u002f9fM63HWGPJnqU180CwMb6VXM3kKS+lelS7tmpEgtDBSDKx964ZT1e\\u002ffAtHH3wOLx4yz9x\\u002fq++h1ffngeZLo0SXTjK0Y6I9PmKgzMzFDOEaYIsC17g4x9zXsI\\u002fZr+ILl26Y78+A+jQAYPp8L32wYCu3ZGyY0jYMY6ZJhtCQgrBSmsKVQg3CCjvuTLjOvhgw1q8svR9LFyxFB+sX4MtmzdEA1aR4C2k+3xBhUGymC1XzIhT2UacOP5k\\u002fPnK29G5tAJvr1iMTY1RS+pibfve3XvCtixtGFIoL\\u002fwoTKm6aK9T2\\u002fBH7FnYo4leABGRrls5bzFrPlwKA\\u002fv37o\\u002fHDQnFGlIaCBu24J3l76PqgNEY0mcQnv3lI7j8j1Nw\\u002f5P3A5YNaVhQWn2higa6VYKKTCQBAJsb6\\u002fDSlo146Y0FgBCwCk0depRXUHkyRQnbhikMBCpE1nVQn8tgXUMdVtduhva9SMiyoHwjk6lIL1vrL4TgRbS+h1JKKM8FAFx9\\u002ftW47rwfQZKAZo0F778O5eRAdiwaYIMAB\\u002fcbhKQd08ISwvX8RZ27jMl0pL9G2OOJXtRLY41ZAL7h+R4dPmjfSOdMM0gwYMXw\\u002fBszcMVp34HSCuXJUvzlyttx6N4H4uq7f45MpgEymf58zdqPQZGIwjALVWORqrwfBPho3Sp8tHr5VhJHcheRs1BIQErAMECWDQIhqhv5YmbvnYGIIEhCZRrRtXtf3HHx9Zg87kRoZgRhCEMamPHOfCDwIONJaFYgw8RBfQfCEIIUA0T8Opjx+uuvG8OHDw++tIv5H8EenzBT1EvTJs3zPD\\u002f0tRIH9B2A3hWdARVGtdGWjVmLXsXKzWuitWKB0BefeB5m3PZvjNx\\u002fFFRzA5j1LinSfF4omte6GEcmgjAtyHgCMpmCkSqBkSqFkSqBTKYg4nGQGRXdREsQXfj+l+e7EkJGcfRsI44ZdRzm3v5vTB53YjTwMMM0DGxs2IzZ7y4A7Hh03n6ALl274aB+A9kLA5nN5gKlaQEALF++fI9Se90Z9niiF\\u002fXSOjsVq7XWr1q2ibJESk0cciDgeRBCQBgGnKY6PFTzr8KXovW40goH7zUML93yT1x17o9ggqCdHKSQn1mW3H+LIvmV1gi1avmjtP7SLJC2QESQUkLnM0gYFm68+Bd49qaHMbB7v6iMV4iWDi3PvPYS1q35CNKKAZH6Bfbr1Q+Du\\u002fdiDQYxVjSGTa8AW3Xr93Ts8URv0UsbPNgTRM8aUsKSko89cDhELF6Ip0dOor88\\u002fwgac80gUBTuERJKK8RNC7\\u002f61jV4\\u002fleP4uB9h0NlGsBKRYTfs+uGPhFFgnMYQmUaMWH4EZh5+xP48RnfAzjyEYhClxcCQWuNOx6\\u002fDyiE+BgAC8IZh48HM7NlmQDh6cGDj\\u002fcKmY\\u002f\\u002fGyPZl4w9nugFMAAQwqeam7N+3veMqn0P4CF9BwCeG\\u002fm84kksWfou7n7mb1EetlJR73QhC2tahQn7j8TMW\\u002f+JKd+ZglQ8AZVtAigyRzuwI1ruXXMjupRV4LbLb8ELv6rG8EH7I9TR\\u002fRWFyr2gINT5hyf\\u002firffXwhhx6OEQd9Hr+69cOSwgxCokHw\\u002fCEKIR6Mj7Lzr656GDqKjKLjAVN5v\\u002fBtSiBcNy+CyZIrPHn1E1LmTANYKIp7AdX+9GTXvzIdlmC0zu9IKzIAfBkjaCUw950rM+81TOGXiaWDfh85nChJIHTM8gBY\\u002fhso2QiiFs79yLub+5klc9tVvA8zwA3+b+0REsAwTL7w5Cz\\u002f583Ug04p+DwIHPs4eXYUe5RXKsEzyPX\\u002fOzFfXLvhPdPN2Z3S8dQVwdbWkyZNV04r5xxkx82nP93Xec8WEX\\u002fwIH61dAWHHIm924KFzaQV+fdHPceaEU2B9goLMswtn4KaHfoOZr88EQh9IpAARyUx9GtAuNjL4ovAfn4\\u002fWgOdAxpI4aeRR+MnXLsfwQQfsdPNQhVi1eR3uf6Eat\\u002f\\u002fjTmSymShCwAwd+OjZpTtmXHMzKlMl2rJN4fn+1zr1GfX3jhr0bdFB9AKYmTB1KuG886w6rHsxnoiNFgr6n6\\u002fPF1+7\\u002fecQpgXFDCIBDv0oQWPAEBx50Fjs338IelR0RUVJOUoTaSRiccRMGzHLRlkqajf04huz8KfnHsKzC2vQnGkCfwrvfFTRpaMlAGGXpJc+L0ShLwEV+lF47tN8lxnxWALj9huBr088HaOGHgZmjQ31m+F4DhzfQ87NoT7ThA31m7Fy42q8veJ9vL9mKfxMQ6E60ASzhkGE0HNx10VX4dyxR+kAWviu99qG19aPGTppUkAkeA\\u002ft1dAmOojeCsVZfcvKuRMtKV\\u002fwg4BTsbj40SP34o5\\u002fPAgjVRJlwRXySNn3AN8DVADEkrCTaSRjCdimjZhlwTRMmNJAwk6gc1kFpBB4e\\u002fn7WLNpLXY5jaPQ6MC0YwjyWUBriHiqRSfti5rlI3OboH0X8BykKrpFFWxRz+ld2wkzYnYMQ\\u002fsORqg0NjfWIuvmEIQBPN8DBz7guVGVmpTRQGKYgGFCGkaUAgyCICDMNuM7X5mMW7\\u002f2HfZUqKUgESh9ZOd+o19mrpZEe0Y75F1FB9G3Q7FGfcuKOb8tLy25pKkpEwopjCv\\u002fdjf+\\u002fMy\\u002fANOEYdktoR4iKvQR05EgolZRYkoxQYULP8MgenETyYISyydDCgHlOhjcf1\\u002fcfemvsGzDKtz1xP14dfGr0f7tOKRhfKZSVtujuJ7WTh7QCj17DsC5R0\\u002fGpLEn4tE5T+H6e2+ATJbscktjsAaK1X3SiNJshQBIQBBBCBGtvYGCVz2amKNwJUeZclrj\\u002fKNOxu3nfAeh1mFpadqor2+6ucvAsT\\u002f8rOS0djd0EH07RE6cqYT1J8YadfBsMhEf25zJhZZhGHe\\u002f\\u002fDRuf+oxrN2wJiKraW7zklLLz1ZGY6sJl8EtyTa7AqOQfnv+pItw7+W3AAAc30XNW3Nxx+N\\u002fxguvz4TONQOJNKQ0dp1suwAhBLRmwMsDDAzd+0Ccf\\u002fRkfP3ISehcWgEAeH3pOxj+rbGQydJdPnbR9G8rzYCw1UppIbnmaPAMAkAI7NW7Hy49\\u002fjScN+ZI9lWoStIpI5vJPV7W15oEHKIAdDRsaAN7fArs9ijE1UE9Kb955cwz8nl6orQkdUhTUzb8\\u002ftEnixMOPEw8985CzHz\\u002fXSxcsRSbmxrhBT50GAIqhFJhQQQhGgAgaNufRFEFGkUiMC1ZbDs\\u002fIWiloLWGHwaIWzEcf9hEHH\\u002fYRMx8dz4efKEaf5v5bziNtUAs9dkM3RQl\\u002fsAwMfKAUfjuiefj1DHHI2HHAQB+6EMKibrmhkK+\\u002fcfezxbZKc0M1hqKw4jArLdaPsWfQkQzvRGp7CYSNvp37obh\\u002fQdhzN7D+IihB6J7eYXOuY4sLU0bjY1N\\u002f27S7rmdxKhA60\\u002fRWHIPQ8eMvhPwlCmCpk3TG5fN72qbuCcRj53o+j6gNCfsuMp5jnB8jzY3NdGSjWuxvqEeG5vqsbGpAfWZDLKei7zvIu95yPse8p5b+OnB8z3Aj0xQWHZBJWVHSCGhcs0YM\\u002fwIzPz1o2DNIFEwF1oRaPHqpfj1o3\\u002fEX59\\u002fJOol\\u002fl9ctyCCDnyMGHYYpnztChx9yPiWdlSq0Dwi1AqmNHD9w7\\u002fFNX\\u002f4KWSqbCczOkXrbd+L\\u002fmnbsO1I1y1p20jZMSTtGJKxwr9jcXRJl6J7eQW6lpajZ3kFD+zanUvjSU7GYjpmWqanQkhDwPf8PDPf\\u002fNz8NdcVuu10kPxj0EH0j0FxvVdTU2MM62d+W4AuNyxjUDxmw\\u002fN8qFCBQGwaBksSkFKwJIFAKbiBD8f3yAsDOL5PXuDDCwN4QUBuEMAJPIRK4a+zX8Q\\u002fF8yEKLQ92h6CCDIM8cjP78dXRx6DUKmC2UvQWoFBsIzIMNvrm2OwbOWHEFZsG735nYXCtv89gUCCoPNZvHj7E5h44BgEYQAGIAvWCJghpcSGhs0Y+b0TsHrjqqgmfLv9Rzp3Hg4etC+uOP50lMYTiFkW4qbFMdPiuGVzzDIRM23ELQsxw6S4FcXHA6UocnqCSBAMU0JIgfqGJhDEesMQT7q54A9d9x77NgBMmTJFTJs2rWNd\\u002fjHoMN0\\u002fBsVEGiIKAfxx3bqF98eUd1I2q6o068PB2CdmW5YiJk0KIUfyUyDAMCVSZgIpLkR5ChVlgoilEKQZiCWSuG\\u002fm80AQgCy7TWkmBhCwxoW3XA5ccSu+OurYls9ad3n9VfXvsWbdijZ7nrFSkIa5zTJBCBk5DwvFL9GxGMQApIEpD\\u002fwafTr3xKCe\\u002fXc4p7dXLMYFt12FVeuXQ9iJnTexEAK12QyOGnYQupSWwfV9CCHIMI3ogK0q5ZRWyIZe5Bco1PgHQZAhEqsBvA+iDwl4U3D8pdJeBzUCLfrzuoPkn4yOGX0XUFRVbe3N3fL+nLRIW2Ui1IOY1T7M6KHBPUiIHgQuZ+YEQPHoJ+IgxIUQNhHg+wFsy8Tq2loc\\u002fcursal2805ndABbY\\u002fcAJk04Bd869v\\u002fQt2svMDM+Wr8Cv\\u002f\\u002f3\\u002fXh23tOAaUdhqdb7YUY8Fo\\u002fW8IYFYceiOHw+C0qmYQiJIAy20bgjIcD5LLp064NLTjwPxw6vQjKWQEO2EY\\u002fOeRr3PvsQmhu3QMRTH9t6iYjAnovqH0zDcQceirzvQwA5JqwlhgMgT0I0MmMLWNdJKWu15o1MarVlxNYays84npGtHHx483bPQxT230HwXUQH0T8FmEEzZtTICRMm6E96yVasqIlZFlIJP5ZizWmWKGFScVb03WQq\\u002flWThXp4\\u002fkz59TuuA1mxTywNbTGznRxAhJKKrmDNyNRvihx88WSB34WwHyiK1asQD\\u002f\\u002f0btRnGnDTw7\\u002fD6rXLQHYMxw+vwpVnXIxfT78TT81+EiKR3CYRRwgB7fuA5wCxOJLJNHLNDUAYArE4hGF+YuKOFALayeObx56CP5z3Pe0oX4Sh+qC53hv52tItmcmTdznWTcw1EpjA6OiQ+h+hw3T\\u002fFIhUoqpCoFUm3dSpmD59Ok2aBACTMGPGDJowYYIiIheAC6C29T7qVsy9CgCCUGHukvfAQQhpC2j++HeeC8kilEyDADRnGgEQZLIEDN6BdEQEdvPYd9B+OGnk0YhbMZwx\\u002fmQ88NKj2K\\u002ffvjjiwNEAgJWb1uKpmn+AkNrm+1prkGlCWDY0a+ScHEQs0ZLfv6vZeUyEeUvfR0MuQzHLAmvVt6zM7Dd58uS3mBeaM2ZkeMKECQxML\\u002f6vIOY4FVOnAlOnTmWAQFS18ybzHfhEdBD9P0RhVmFMa1uLrJWEEUX68Vs4s6Hb3mFAEz3HQ97z5EvvvQlYNtTHNGrcZp9gsC7M2DJ6dDuLXwtB0KGP0UOGI27F4Ic+OqXLcOkp3wKAgiMPGDVkOEo690AmnwGJbZtPRPp00f5JyE+dequZQZaNZRvW4rXlH9LEoQepWNyOZ7P5I5n57ddffx1VVR9P4Gk7ub8d+HToqF77nEBEXPijgQmaaLJyPexvWaaUQurabDNWbN4ctV76D9JYi0klO4PSCojFcfQhE7Ytpy3E5IvJPf279cahex8EdnLbOPfaOt5\\u002fco5CSnhNjVi2eQMsw9SGaTAxunSY318sOoj+RULK9cyAF\\u002fgY0KUbzh5TBfbcz1x+Kup4olBWWokjDhhdyA8XLSIPQoiCQo6GKU1M2H8kIORnLiEliKBdF4MG7o3jDzgMGTcvXMcjBXoLAA7JZDrI\\u002fgWhg+hfAKIw3RTRebM93\\u002fXc51OphGCG+unJZ6Fn917Qvt+S\\u002fPJZQJAAPBdV+49ERUn5Vinq7bcrJMJ8ZcSRkIkU9OeQM88Arjnl\\u002f9C3sqs2LEPmXWe+I\\u002fFPZiZUVXUUnnxB6CD6FwgaPjyQUl7p5F3HV6HoU9mFf3rK\\u002f0XiFp\\u002fpgQgIQxx9yAQA2GmcWxS4v1\\u002f\\u002ffTG0795AGHxmA44UEjqfwykjJ+C0w8Zw1ncYDEdAXNmnzyincJYdM\\u002foXhA6if0EoNovo1GfUu1rzL0tSSWp28vrs0Udg4sEjoB3nMzHhiQgq8FDatRfGDD2s+NudbV0QXpQ44bAjAe+zOwcOfZRXdMa1p5wFZuhkIi4dx7urot\\u002foeTU1NUZHDPyLRQfRv1hwdXW1VMmyW5ozubfjMVtKIdTPTz8HyZISIAwh\\u002fsvUBiIB+C726TsI+\\u002fbZqyBiufPHXJztqw4YBSOeglL\\u002fPf+okP56xQmnY7\\u002fe\\u002fbQiLbOZ\\u002fHJT8s8BYMKECR0m+xeMDqJ\\u002fgSh6mrt2HZaF1lcppXTOc+nQ\\u002fnvje8d+Fdpzo6KV\\u002fwpRyu3RB41r8bR\\u002fHKJtgOGDD0Cf3gMB\\u002f79zDkZJMg4OHXIgLjjiOGQ9lw1paEHih2V9xzZUV1fLDo\\u002f7F48Oon\\u002fBmDx5suLqalk5cOwLQaD+XFaSFlnXUZcec8r\\u002ft3fm4VVV5\\u002f7\\u002fvmvtvc+QgYAMgjKKKIgCRSwySKLigFWrllQ7aBXUqrUqDtROgartra11aG2rrdree9vexs61\\u002fm5720IHJ6qISJgyDyQEMp75nL3Xen9\\u002f7HMoSoIhJAF81ud58geck332OU\\u002fes9Z6h+8Xp508HeowsvBEBCiFcOFwfKzkyuz\\u002fHfxaRH4DzPD8Ybji7IvAXqbfmvQE3\\u002frYCgSw5qpPoCAYVqFwUCaTqd8UTZz\\u002fK2a\\u002fN71fFzccFibQjwQVFczMgkVwTSyWaJK2lMPz8vRXPnIthLT88dV+IISEjkfw8fOX49TxJ\\u002fm+6n2I2dxz7rxiBQpHjYN2+xfsItvyev25y3DujNmc9DIynUx12XnB+\\u002fxVfHnOE8owxJhAPwJQdtpq1MS5zUrp+y0pdCSVxLJZ83DN4vP7lZiTQkKl4hg3fiq+eM0d\\u002fpbdbx59z98VJKC0xokjx+Gh61aDkwnIrKRTXxEkwJk0Jp44EasvWQ5XKR1wHOV5vKZozJnV7G\\u002fZzWp+hDCBfuRgZqaRUxb+LJFM\\u002fSscComM8tQXPnwNxhw\\u002fFuyPdPbpQlJIKDeNgBXAD1d9CxNGn+B3pR3Cl4UQ\\u002fhb+M5ddjxVX3QSvs81P4h3Cyq61xv2XX4MTjxvJipVMJFKRTDL1G2YmVCw3K\\u002fkRxAT6EYSIePful4+TJMcr10PadcX0Eybg\\u002fsuuBiuvT+spEUGl4gjZATx7\\u002f3dx8bxzfSWYQ9wR+E6qBM2Mpz77MG766G3wol0gze8Z7H4CLo6lc8\\u002fG9edcgJSbgVJah4JOkR20FhERry9eb\\u002f7WjiDmwz9yEAA4KT4zGAqMA6CbOvbSA7\\u002f6CW49\\u002f1IsmX0WVCK+T8apxwsQgTwX0ydNxx8ffh4fK758nydc\\u002f27I36xLIfDUHd\\u002fAI3d9EwHbAbTq9czu18w9hPML8MS1n8YfKzbiL1s2UX4wrIOhIElpLQKA4uJis20\\u002fgphAP3IQAGjgYmbmoOXgtaod+PKPn8QTf\\u002fotHvvkpxHIy4d+j5VdKw8\\u002fuOcxLJ75QXjK89tfD+emsnPvSiusuvImXDivBEgmer0ukZ+A++JV10JpxtXf+DJe2LQBzCziiSSU5iWtrevyc2o9h3Vzhn5jAv0IkP2D17xunUWgsxkgKQW\\u002fXLkVRAL3\\u002fPhJvF6zE5+\\u002f4mPgZLzHbXhuJR096kSccsLkfR1u2ev3+950ri8+62S6aOZZgOy5Hi+EgE7EMH\\u002fWmSiZPhOXPPxFJBJxbKjajkgyLpTrsWNbp4qodUrutvt9Y4bDwgT6kUEQEXdODJ3GrE9lpdDYvle8UVcFtm0Iy8ZtP3wU+cEwzjpjLlQPwS6E3wE3e+ppKMof9o7Hc2ftQ4WZ9\\u002fW6U9ZMYeGMeQDJfYYV+14DAHse8vILcO3i83Hzs99G\\u002fa4GUF4+tjU3YufuJtiWrW3HJinlBf5vGXfTI4UJ9CPCegIAFnresGEFeZawvJo9LbSjqd53ChUCGaWw5hc\\u002fxsljxqGgoAjsvVOfQYAAN41Zk2f4Rg\\u002fKP0cn0kl0RLsgiKCU6tPq7otX+Ct5495mqP3O5CePm4TRo8eBPe9d53QCtELx6XPxo7\\u002f\\u002fHzbv2AoZzvdNGNJJ\\u002fLViE8KO44tlEC\\u002f11\\u002fIKk3k\\u002fQphAPyL4vd4EXaKUBphpQ\\u002fVOqGQi65CiQZaNaCyGFza+hlAojJzjm\\u002f97BE8rIJSPWVNOA\\u002fDvnvUdTdUovvcqVNTtgJQyO3fui03kVGA1c9bu2Vdf9bf8hK\\u002f+9HGsePSerDCFf1YfXlCEuSefDmSS7zins1YI5xWgorEOG3ZUQITDWd13X8v9lcptSKTTwnU9MPOMzppXJuUGe4b0ozYAMIE+5Pg2YsQtLZvyNFNxOp2GZhZ\\u002f3rIRyPadA1mNONtGdzyGPd2d\\u002fmO5ixDAnov8whGYfZIf6LnVtqalHm9vfgVL7r0Kj\\u002f3mh+iKRyCFLzaRE58QWVskKQSkkHijcjOWP3AjvvD9L+Htum2+eSIAL\\u002fslMHvKTF+Sev8VXQgk0mnU7WkBZQ0QAf+MDyeANxtqULu3FRJChcOhMZr5LABYv96U2Y4ERjNuqGEmEHEwFZ2nSYwDgF2d7bS5sc5Peu13FmZmX3r5XZcg+AoyY4ePwrQTpwDAvrP1v3ZsghUKoz3Sjrseuwff+92Pccn883Dxmefi5BMmI+AEoLVGV6wbG3a8id++8if8+Y2\\u002fId7VBlFQhD1tLWjYuwvDC4r2SVzNOek0UF4BlPayBoj+\\u002fzMOvD\\u002fNDGE7aG1twdZd9TTt+BNAUoCFXgKgfP369abMdgQwgT7krBcAtJbi\\u002fFAgCIuFeq3qVdne3QGyrAOCuqdDLWVlnOedMhu2tN4hLBFLJ+Bl0rBCeWBpYWftVuyseRuP\\u002fs93QIEghucPg+u5iMa6fYdXrYBAGLJgGFgpaAbSnpt9HX\\u002f7Pmfq6SgoHI5IpBNk2e8yjuzh\\u002fgCAGeu2voXLPjBfZJIuiHHBli3lzsyZpZnD+vgM\\u002fcJso4YQv6xWrJhZgnm+77PI2FC9EzoRh+yjUKS\\u002frXewYdvraGpr8c\\u002fO2V+79yO34sQJ06CSCd\\u002frMRSGCBeAAkEwMzq62xGNR0HShgjmQeYN8wUqAeh4DLdcfj3mTZu178uDiPDT9b9BrLMN0jrQBaa3+4OU+Nu2zUi6GdJaA0RTxoROmOU\\u002fXmb+7oYY84EPLUREvKfhjUms6QNuxkNbpFu8UrUNsJ0+yyn7MspBVFVvxc2P3wdP+Rl5TylMHH0CHrl5jf9lkFWK1ftZNZO0QNkjgp+QUyASUIk4TjllFr52\\u002ff2+drtmWNLCnzb+HQ\\u002f9+GGw1buTzLthAJAW6tr2YFN9NRxp6VAoIKQQ2TJbsfm7G2LMBz6k+HVkyanZBQXh4QJQuzo76K26KsAJHFKji9YKsqAIL\\u002f7tt\\u002fjq\\u002f3w7m2H3S2Wl51yK6y\\u002f9FFSs+4D6+7tlookIpBUCjoMnP\\u002fNVDMsrhKc8WFJiT+defPrRe5Bx0xDWgbX03mBmSMtCKtKNVyq3IS8Q1CQENNTici6Xa9aYc\\u002fpQYwJ9SMnWkZkuUkrBkhZe3rkVbioJ4dvAHBKaNWS4AA\\u002f86Ot48V9\\u002fgRQSnlLwlIeHrrsPkydPh0rGDjrgIoigop34zPJbce6shUi76X2P3fjEatTW74AM5UH1a0ae8VrVDnTFYzKdyoCIPrC0bvz4tWtNmW2oMR\\u002f2EEK0VvOWcgfgJa6nIIWgv1ZsAnTPcszvBTNDCwGPFVZ862407m1GwHZgSQtjR4zGj+\\u002f7DsKhfHAvQylCCKhUAsULl+GbK78EIkLADsCSFr71q6fxu7\\u002f8EjK\\u002fEKofMtBaayAQxEuVFWiNdJEAqfz88CgFnuM\\u002fw3TJDSUm6z5E5LzW28Pj54D0eGKgsX0vbW6qBYToj1mLf12tIZ0QdjfX4oZHV+Frn7ofyMpDFYbzcc4HluB\\u002f\\u002f\\u002fECRCj\\u002fHVtvIvLtnSwHy+adh39seQ0Zz4MtJRr3NuMLP\\u002foPUDDcb1MHBkBSoqOjHZsaqjFh5GhfeFLgIgC\\u002fzqrNGIYIE+hDhl9WI\\u002fIW5eXlBcmD2txQKxv3tIAcB9xH\\u002f7WeUFqBwgX484a\\u002f4s+vrweEyGbvCY7tAMHwgZ7puX9Lifu++wXAzSDbwQ6QAML5B1owHyIi+4Xzf29vxFXzFlHSy4CYS7Zs2eIQUSbrPW8CfggwW\\u002fcho1gxs9BEvo0pgd+oq4QXj0FKecjn83fD2UYV33yRQEJCSmtfd5vIdsEd8EMCdl4hnKKRkIXDYQ0bAVlQ5ItKDoBFEwN4rXoHOuMxykpJTxhb1DU3+7DZvg8RZkUfAnIrV6R540hBWJhOZeApJddv3QzYgUN2Ke2N3DY7572mkpFsd83BA1YxACl9j3U9cAtsrh22ZnczNjfU0sJpp3kiIAKRWGIJgFdyu5wBe0FDr5hAHxoIAGdSiTmhUGC063rc2t1JG+uqgP36xAcCQQSdSWH29Lm4+eJPIOWmDypGwawhSKCprQWP\\u002fPL7UNl59MOZaf\\u002f3tf1afKKrHRvrqnDOqaeTUgzSvIi5XBIZ77WhwgT6kOBnmMmii0HEQdvmf+6ooHgi7p+DBxA\\u002fCWajoaUOC2bMxRmTZ\\u002fTp91Y+eg9UKg4RyOvVq61\\u002f98OAZeNv2zbjppKLhSYGCbEw0TBuDIBmc04fGswZfZDx216Xa+Z1FmteyABZ0uJ\\u002f7twCpFP91ncD0GPJjJlBloWO9lZ8eM0NaOnYA9dzkcqkkXYz7\\u002fhJpJNgMB755VN45hffgwiEew3y\\u002fpo6aK0B28ZLlVvRHouQYNKhgFOU1DwfAJ5\\u002f\\u002fnnzNzgEmA958CEi4taawHRmnMKeQnNnO71ZXwNYFvrjZ+BLPbHvwtpDAGqtIfOGobamAnf\\u002fYC1sy0bQCSBgO+\\u002f4CQdCeG37myh77msQ+cMO+nqsvH4l5xgACYmuaASvVG1DwHEYRExElwDA8uWHfElDPzBb98HGn7\\u002fWFtS8wsKCQi\\u002ftqerWZrmtsQ7k9C8RJ0FYMnMOXq3ahmQyCe5B000pDzJ\\u002fGH725+cxethInDp+KjJeZt953ZeNEvjO759DPB6FCIV7vBcSApxK4aTxkwBmVO9qgHD63vcO+LrzXjKB9ds24+qziympXGKND+7a9XoYODNptu+Djwn0wSbrHEq2WKK1BgH4V81OeIk4ZF7+IbeWWkLCi3Zh+rjxuGTOB7HqqUcgCwqhegg8xQxIG4\\u002f\\u002f\\u002fDvodecgbVAw1HuQp9M4YfTxWHvVJ3DPT37g1+gPEQYDQuCN2iq0dndSOBCEsORJwUxqFhFeYYYEYBJzg4jZug8ifgKbmBsaQlrxualUVk2m4s2ssmo\\u002frgkGpIXXanbi+iUX4OrzLoGKxw5qjSyCYYhgXo8\\u002fZNs9ZtgJBFIalpR4euWdGFlQiN0tjZC2fchVAs0MCgRR0VCLqt3NFLRsr7AgHNSaFwDA+vXrTT19kDGBPqj4OuZ7ueFMIjoRDOzu6qBN9TV+22s\\u002fzue52nRlSxPq97biyes\\u002fg9nTT4dKJiF6Sexp1r3+9FZGk+SLPH6p9FNYNm8h\\u002flKxCehn4jBnD5WJR\\u002fCvmh0AIFJpFyTF+QBQUlLiHfwKhsPFBPqg4uujkYel4VAQYSegXq3ajvaurFJLP2BmCMtCV0cbdrQ0YUThMDyz8i6MHjUaOpM6bAMHwHdq8RJxXLf0Mty97ErEY1G8WVsN0GH05DMAaeGPb2+EZqZMJgOwXhiteml09n2ZVX0QMYE+SOxTkykrE0JgPgkCQNhQs8O3WurFFKEv5CJic2MtYok4ZpwwAU+vvNPvaz+IfVJfEEJCJRJYNGseHv7YSnhKoSsRx\\u002faWRkD2bxcC5M7pEm\\u002fW16C5s50IxJZtFyQFl\\u002fjPMGW2wcR8uIPE888\\u002fL4iId19\\u002f8UQNnuumXbTFusWrVdsB2\\u002fZLY\\u002f2E2U9ubajaAUEC3ck4Lpl1Fh68ZgW060Kgf3VvIQR0Oonx48bj6ZV3IGw7EEJge0sj2mKRfm\\u002fdgWyZzbLQ0d2Blyu3Ii8QVMFgAILoPADA+lFmRR9ETKAPErn6sM16dmFB\\u002fggCqebODnqzthKwnR6z5IcECWxtbkBXIgZH2uhKxHDHBZdj5YWXQyV6tnE66OVyZomhMJ65aRVOGjMWkVQS+YEgtjTWIRWLQhzGLgTMkFJCJxJ4rWo7ACbP9cDgs\\u002fZu+2cBlZR4Zvs+eJhAHzSyajLEFyjtZ69frdyGTNak4XDwNdkk2qIRbGmsR9CxoQHEM2l8\\u002feobsOQD898zE78\\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\\u002fF3ZdfDZ1KQop3xo8QAsrNYMzI0XjmplUYWTAMadfdt\\u002fozMyQJvF5TCbAeMCkY39zBQkVTA6r3tgDMbDv2iDS84tytDdBLGfbDfKgDzJqyMiIijl5TPAKExelUGtFUMqsm03eThveC4QdrPBbFjuZGyHfVuIUgRFNJfPmKj+PSBSW+ZFW2PEbkWx5LIfHt62\\u002fHnIlTEE0lD0jeCSHxRm0lkHVXHQg0M4TjYPeeZmyqr6ZwIKjC4RABvMh\\u002fhjmoDwYm0AeYNWvWAAAytjU7EAiMYcW8N9JFr9dWApY9AJvfd8PYUL0DUryzd55A2SMC4cnrbsNpU6dDJROQUkIA0OkMHrh6Ba44cwE64zFY+9XIGf75vC3Sjao9u\\u002fo1yHIwBAloN4NXK7fDU0okUykwcA7vej1MVKrM9n3gMYE+4GT1ygkXkyCEAgH9UmUFYvGYf84dQNkof2XWeL22ssdZcUGEtJvByMJCPHPTXRg5YgTYdaGSCVx\\u002fwWW466IPoysRP0D8grVG0LZRuXsXmjraAevQB1kOhmINOAGs27oJsVRSeBmPLcs6rVN7J+fe2oC9mAGACfRBYLlmZkmCFjIYjrTw0s6tQCbV57p2X8nV0+v2tqKxvQ2OZR3wRSKFQDSVwgcmTcV3bvgstOdi4Rln4hvXrNjnmvpuNBgBy0Z1azOine2QPVz3sO47e07f1tyEmj0tsKXFjmMJ5XoX+s8w5g4DjQn0ASRXVmuve3Wa0jwNHlDf3kqvVG6DsJwByVq\\u002f6\\u002fUAy0FzZxsqd+9CsBdBCEv4bbIfnrsAj9+4Ck9cewvCgSDcXkpvAgRXKbzdVA8o1WPG\\u002fnCRUkKnk\\u002fjDpg0IOgEGEUjQEv9RIzsz0JhAH1h8EUjOTJBCDPeUB09psoWEdjO+oeEAvhhn20rT3V3YsbsRluhdH16QQCyVxE0lF2Lq8eMQP0gzjRACiXQaG+uq\\u002fPr5AIpFAgCR8B1eXReCRM68QoN1PmDm0wcDE+gDCwOAZ9nVYEQhiI\\u002fLL+Rf3PklnD9vEbx4FCAasAz2vpcUApsaapByM5AHuTYRIZZK9rqS596AFAKxdBJbGmsBaQ3oPkQKAfYykMx44LpbseriK9GdSHAoEBAkxIsAUFy818hKDTAm0AcQItJcVibGTFhQReCv54dCpFjRmMIiXX7HF3DTsqvA6TRY6cPuG8\\u002fhb99tvFFTiWQm\\u002fZ7XFSQO+kXDzLClxLbmBrTHov5o6gCdz6WQUOkUhucPw3\\u002fe\\u002fnncd8lH2GPtDS8qsNo7u38XJ3rCf6bpkBtoTKAPNGvWcFlZmRgxedFDXV3RVY5tuxAkWGv9xLW34rEbbkdQCuhMekCSc5oZsCR2tuxCa3cXLCEOawXWrBGwbGysrQZn0r2q1hwqUgioeBTTJ0zGH1Y\\u002fhKvmLdSRVJLyQkGrKxL7Xkemu3TChAVGKHKQMOKQA0zujzSbmHt0T9X6HbbtPBMKh46PxBPerUsvsyaOHotP\\u002f\\u002fAxtO7dnfUeP0xdRBJIZVJ4s64aJ40Zi7Tn+t5p\\u002fYH9M\\u002fTmxhrAdSECocPyTPLzEgSViOHCsxbhyetvx7iiESrpZWTAsdOxWHL1yCkLHwczmSAfPMyKPjgwEWnmcjl6avGLmQwWZ9zMq8OHFVpdyZh38Rlz+X8\\u002f91WcPWMWVDwCSxx8O\\u002f1eSCGAbPIsYDv9Hj5hZjiWhdbuTlTubgakhD6M\\u002fQGRAGsNnUripmUfwc9u\\u002fzxGFxZ5bJEURI3JtHvZyCkLH2dmYj93YYJ8kDCBPogQlSouL5djTl5QtSfReWEsHv+vYQUFViQZp2ljTtC\\u002fWFWG0uKL4CXihzW+SvANHSqa6pDs42hqTzAAx7Kxq7Mdlbt3AbbTb0dVKQTYzcAhgYc\\u002fdRse\\u002f+SnwVprJ+hY6WTm9fZY8sIxUxb9iXmd5b+HQWgaNOzDbN0HGSotVb6h4LIIgGs7av+53bHsB1z2RMhy1LM33yOnjj0RX\\u002fvVT7LWx\\u002fYh98P7k2w2Kltb0NjRhnFFxyHtuQcdT+2JXCKuvn0PujvaIMJ5\\u002fTOYkBIqEcfo40bhuyvvwKVz5utoKom8vLBIJdP\\u002frTPitsmnFEeYWRKRUYAdAsyKPgTk+rfZT9J9Vbv6cink7mA4IFOZtPeVKz+BH926GiPy8rOTZoeWANPMINtBw+5daOrouUOub\\u002fdJUFrjzdrK3BjeISOFgIrFcPqUU\\u002fD71Q\\u002fiQ7M\\u002fqGPplHAsS8TjiS8WTZj\\u002fyZHT5keyOQxj2jBEmEAfIoiIsWYNM5fLESctfCGWjC9NpTIbC\\u002fLzrPZoRF89fwn\\u002f+r4HcfL4yVAJf9LsUAJNEEGlkqhoqj+MI4C\\u002fqv+rZqevO38I3xVEBAFAJeK4ZP5i\\u002fP6+BzDzhEmey0oQoSuVca8eOXnRQ+Xl5ZLLygQRmRLaEGICfQghIiYqVevWrbPGTi3ZEovw0kgs8cvhRcNEdyrOZ06ayi+ufghL554NlYhBoO\\u002fNNb5uusSG6u1Q\\u002fZB8ZvgmC92JBLbtajgkg4l9SbdMBrdfdjX++7bP8Yi8Ak860mLGW66nikdPWfRzZpalpaWK1q41QT7EmEA\\u002fApT4iqdiwswFHaMmL\\u002fxIIpEoCzkOpZVLYwqLVPmdX8RnPlQKlU6BdV+ba\\u002fwOuY21Vch43iFvu5mBgGVja3M99saigNW340Mu6RYUAk+svAMPX3MDK2Y4QcdKJlIvJFKRC8dMWfzWunVlltmqHzlMoB8h\\u002fPJbmWAuE0UTFnwlmUx\\u002fXADdwhJSKVbf+PiN+NaKz8IWsk\\u002fNNQwAQqK5qwPVrS1wDtEjTbNG0HZQ0dSAVCwC0YeR2lzSbeyIkfj5qjLcfO4ynXAzFHBsisXjj1TvffvK4086v5W5XJaUrDVJtyOIybofQYj8LayflT\\u002fnZ511L+9QWj1TWJg3u7s75t2+9DJr6phxuO2Zx9C4uxlWOB9eb801DJCUiMSieLuxFmdMmOy3xFLfVmZfqEJj6656IJPxbZRV7wuwn3SLYu700\\u002fH9FXfijPGTVFp70rHsWDqtPjty8qLn\\u002fPfGZFbyI49Z0Y8Csll5OXzSgo2s9HmJZOrXwwrzrY54VF94+lz9+9UP4YMzZsGLRyF7aa5h+JNsnIhjS1O9n7nv44LO4Kzia3Sf4mtvqzmRrzarEjFcueg8\\u002fPbutZg+brxySUvP9RqS6dSHRk4++zlmlqbT7ejBBPpRAhEp5nJZNGFBR9Vu66ORaOybeeGQiGVSYuroceo396zFR0uWQSXivlhjDy2u\\u002foCLhYqmOnQlYrBkH5VbGbClREc8ircb63vVthNCgJWCzmSw6spP4Llb7uWCUFjZQVt6nv5rKp46Z\\u002fSUc\\u002f6WrY8rE+RHDybQjyKISlVZWZmYO3euN3LyonuTycy1jm11s4QM2o737E134UtX3wDBALuZA87tOWXYtxpq0RGLwpZWn1Z1fzRVonbPbnR1d4LkgXPtVjZXkO84+M6Nd+CrpTdopTXZji2T8fTTWxvqPzTutPPqubxcmq360YcJ9KOMtWtz53YWo6Ys\\u002fK94LH0Re3pHKBSwEpm0+tIVH+cf3fY5DMsvgEq9U55KM4MsG81trVknlN6FKPYn51\\u002f+eu3OHqWdpZDwknFMGHU8fnH3WqwsvlilvIwAoJKJzN1FE+ffvGBBabK8vFxSaakJ8qMQE+hHIX69nTSvW2cdP23xq93J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UwQxliWZGprE3NntrFq+TyWzp9JW3M9liUpewFK66HvQxqE1Gnk3ve9U1rrb0VB8Of333\\u002f\\u002fYagJ\\u002fIWgJujniITyqYUQ+i\\u002f+4i9yLW1THrBt649d150TRhFhEMSArM5rK6WwLQvHsdAajp3q4dW39vLG9v0cPNaRmLcC17Gxkpz0uQv12Elw0vT3eIer2Oun+\\u002f45rEKIitURhhGxUiAELY11XLN0Ltcsm8PyBbOoK2SJY5VYLMMEXgshYsuybNd18Tz\\u002fpFLqfwRe6X898MADnWCeQc1\\u002fPzfUBP0sMcoPf\\u002fTRTwvE+lwutzrJeceJcMvk82hMZDvrOvQNlNi29wjPv76TvQeP09NfREqZ+OWVk5yZ2lIdUasIcbIxVP0fAUJYCCkR0gIpk6\\u002fL9MtV31HoOEariDSKJoRMo2nGYx9ytNOvM\\u002f7ukX409fUhjhWeH5DNOExrb+bGVYu5\\u002fqqFzJzaAlrjhxFK6WFmPaAs27KymSylUukAKv6PfX19D3\\u002f5y1\\u002f2qzfcM92yGmqCflZYr7XcmBA7vvGNx26wbL3edtxPCCHwfX+YBk9NbMexcSxJV98gL725mxfe2MX+I6fM7xLT\\u002fJzNca3RKkZrhZBW8kcibBc7W4eVzWE5OaxMDulkEJaNsCyEtBGpoMsqQVdGyFEKFUfoOERFISrwiP0SkV9CeSXiwDPnVQqt4uQ45vyVN+gMgm\\u002f2DGnSfJHx15ub6li1dA43rVrCsgWzcF3LpAK1RorhAp\\u002f68OWy95ywxL++9wtfeBKMOX+pq\\u002fiuRNQE\\u002ffQQ69evFxs3blSbvrKprtjo\\u002f4nQ\\u002fPN8Pp8rFYuKobx3JVXl2BauY3Oio5enX97Gc6\\u002fvpKO7HyEEWdepRMVPK9+jI24mn+642PkGrGwBp9CEU6jHytZjZbJG8IQAIRNhFlXn0eOb4IlAJVm+5FRG+LVWRrjjkKg8QFQaJCz1EZUGiMuDROUBVBxX\\u002fPSKJXCmm5qY91GkCIKQTMZh+aJZ3HHjSq5aModsxkly\\u002f0ManiQ9l81mLc\\u002f3tID\\u002fpbPZf3PfunUnUl5+TbuPj5qgj4NqTfGNRx75uCXkv8vmcqs9z0NrHZGQjdL8t21LXNvmZFcfT7+8jWdf28Gprn5c1xSECEyuekxUmcNax6AUwhrNZWpeegO5qXOR0k4CYPFwc71ykAm4AcNMdTFUDSckKg6J\\u002fRKxVyIs9hL0dRIW+1BhgAr9cziFEXilNH4QYknJ0oUzef97rmL18vm4jo3nB5XPAmitYyGElc\\u002fnKZVL+7XW\\u002f+q+u+\\u002f+G6hp99OhJuhjYP369fbGjRujr3\\u002f96\\u002fW2626Q0vpntm2PMtNTEzObcegfKPPLF9\\u002fml8+\\u002fRXfvgImsO7bRiuMGwpKXN44qgmrnG7GyeYK+jvRDoGJkJsfU6z+CdDLGl0YMO8ZFhdZodJXFMGQ96CggLA8S9HVSOnGAYKDDlLufI6QQaDSeHyGl4OrFc\\u002fjw+1axcskc0OAHIUIOK7eNbNu2hZBEUfjoQBT+i398330nEmFX1Mpjh6Em6FVICk\\u002fYuHGjevDRR29ypPWVbDZ7fblcVkqp4akyDdmMQxCGPP\\u002f6Ln7+zJscPtGFe0b\\u002fO4lua20EHLALDbj1LeRaZ5BpnUm58wg9219ASKPVtYpw61uYct2HjVl9sVGhySZaXFoIIYlDj9grEXtFgoEegr4OolJ\\u002f4t9HSR+LM5vup4NMSD+eH+A4NjdctZCP3b6G+bOn4PsRUUIYStapEELncjnL8709YRj+09+\\u002f774fAWlFXy0yn6Am6AnWrl1rbd68OQZ45LHH\\u002f5klxUZp2XW+78WpgIMxMx3bpMp27jvG3\\u002f79i2zdfdhE0B07rekc4wxGwLWKQcUI2yXTNIX8lLlkmqdi5wpoZYJsffu30L\\u002f3TYRtIvI6CslNnUPryluHa\\u002fMJha5UqgjLTrR1hIp8gr5O\\u002fN4OwsFuouIAcVAaWoOQQz76GSGG\\u002f\\u002fU0AbyUS+\\u002f5AfV1eT5w89V8+NZVNNTlKHnByBx87LqupZRScaz+3f69uzds3LhR1Uz5IdQEnSFT\\u002fcEHH2wXtvvfC\\u002fnc7\\u002fm+RxwrJVK6aiK8uaxLd1+RH\\u002f\\u002fqNX790jbKXkAu44wv4EIYGVIRKIWdbyDXPovclLk49c0IyzLaUCnQGuG49O97i\\u002f79W4YJemH6ApqXv2eCBT0VbpFE0CXomGCgB7+vg6DnFEF\\u002fp\\u002fG9Y8PQq07VpYcYEtYRufiq2EFVOfvw2yOtsYOPCaQURLHCD0IWzJ7Kpz5wI9eunE+sFGEYV6fjlBBC5HI54fv+z1HxH9x99937a8Ju8G4X9ArD7Rvf+MYNluM8mM3mri6VSooqyqpKg22Ozatv72PzT57n8PFOshkXS4qxg2zD\\u002fG9w6popzJhPrn02dq5uKFWV5LyNutcI26F\\u002f\\u002f1v079syQqPPo3XlLRcu6FVmucmx26jIJyoX8XtOUu48QjjYQ+yXEYk\\u002fTrXGrjbrK8c0\\u002f9FKgVYV90JatknxSQuSVKC0HJASaVlopQj6u9BxhLCccQU+JdT4QYQUgpuvXcpvfegm2loaKJX9asKN1lqrXC5neZ53TEXq\\u002fvvvv+dnNUbdu1vQK6mzhx599Pdcx\\u002fmfQsjmIAgqEXUwQp7LuvQOFPnBE6\\u002fw1EtbiSNFNuMY1teYRxYJAUWRaWylbuZicu2zEY5rBCGOqytIhpAIevHobnp2vmx8dAE6isg0tdN+7QeMMJ0PEgEyZrkArQiL\\u002ffjdx\\u002fG6T+D3daDjEDTDtXa14FUJe2WTSn4uLBs7V4edLSAzeexsHitTqOT0peMg7UxCxKksCq\\u002f7JMWju\\u002fG6jhnXpbK+sQTeUG3LXsDMaa2s+\\u002fjNXLtyYdJSS41lyns6Vn9y991f+B\\u002fJz8W7VdjflYJeHXT7xsOP\\u002fgvHsf+jBmLDbqsE3IQQ5DIuW3Yd5K9\\u002f8AwHj3aQy2VMA7TxtLiKUSrGrWumMHMxhalzkW4WFYXDtfdY0Bph23jdJ+h846kKuUVrheVkmXLdB5GZ\\u002fNnTUtPPpew4NGGxn7Cvk9KpQ4QDPURByZSwWjbVgcLK9STHqc6tW04WK5fHztbh1LXg1jdj5xsQjoO0nCEtnuTh06j96HVro8l1jNdzisFDO\\u002fC6j5tTW\\u002fZpzHlJEIQIIXj\\u002fLVfz6Q\\u002feSD7r4gchsnLPtJJSStd1CTz\\u002fK55X+mcPPPBAqLWW78Yg3btO0FOetNZaPPpXf\\u002fX\\u002fc23nn\\u002fi+n7ZGqpjqKS\\u002f9Z0+\\u002fzvefeIUgiMhkTLOIUUg0kI5CrFwddbOWUJi+ACuTQ8UhKH3WaTAhJJFX5NSrP69E5RECHUU0L7ueulnLTK76dMdLaaxJM0cVBvg9pyh3HMbvOUnkFROzXI6huUdkBbQRRiubw21sJ9PQil1owik0YLm5SgurymZQ8cvTEh7OuLmla9UqptxxhIHDOwj6OivMvzNp96XzZ3DPb93B3JlTKHs+kPLtTXVcPp+X5VL5b71y8b4HHnig790o7O8qQU+F\\u002fCtf+Updob7h0UKh8JlSqRQnDz4RclUJuD3+vV\\u002fx0pY9ZNzT++I6jkAICtPmUT\\u002f3KpxCAyoNsJ1nnrvr7WfwOo8O+elxhFNoon3N+83PtGLY40tN89TsVjF+Xyde11HKHUeIvRIqjpCWPb5wV7HhpO3iNrTgNrSRaZ6K29CSaGvLpBeVIfYM3Qc47es0lgsw8veJwKsooHh0L4OHtxP5JaTlph8a9TUpTTVcU0Oez\\u002f7GrdyyZileEFYssuRLcT6ftz3f+3V5UP3eAw\\u002fcdfzdFqR71wh6uos\\u002f9thjDRr5N9lc9mPFYnHIVMcw3PK5DPsOn+DBzU9w8GgH+Wym0jhxGAylC6ViMo1tNMy7mmzrdEAnPvh53tqE6jpwZBe9O19CSMesTgh0FJKfsZCW5e8ZRrIZ0t4Qe0W87uMJeaUbFfrGlE6LVKqj5KklomK0irGcLHahgWzrTLIt03AKjQlBJx6hrTn760sLbKTh3RtKbcQwjT\\u002fq8xJp24SDvQwc3EbxxIHkGNaY2t20vo5RGj522xo+8+GbANPnroozH+XzBdvzylviMPid+++\\u002ff\\u002fe7SdjfFYKeavKHvvLQNBrszYV8\\u002ftZSqTREY01e\\u002flzW5fnXd\\u002fL4956hr1gil3HHNdV1FCEsi\\u002fo5y6ifswJpO8ZMNx+4wBULdBzS8doThKV+hDX0gmsVUzdrCY2L1iR+N+g4xu81EXOv8xixVzRHGS+wlWxSWpkNyalrIts6g2zrTDINrRWNP3IzOWdoXdmA\\u002fL5T+F3HsQtN5KbMSbyDmNPGK5Lvlk4dpG\\u002fvFqLyANJ2xjXlQVMqB7z3umV84VO3UchlRvrtUTaXs4PA3xv5\\u002fm9+8Ytf3PZuEfZ3vKCnmvzRRx+doqX1\\u002fWwmc1OpVIqEEImQ66QW3OEnv36Vb\\u002f\\u002fkBQAcx0KpUWocML6409BK06I1ZFumGwHXZ++Hn8WiEbZD6fh+urc\\u002fPzwwlWj2bOt06ueuJCz1Uzq+n3CwBxUFlfRVepyhpSeaTcXoOMLK5Mg0TyU\\u002fdT6ZxnasTLZSrnpBwj10EQjLSbTyVrzuo8Sej7Qtsi0zaFx8nSEJnc76Sa0B2yUqDdC\\u002f701KJw9SKdwZIfBpmq1UDlgyfzr\\u002fYO0HmTalmZIXYCX5dqVUnM1lrSiK96kw+M177713a8qjuICLvezxjhb0NJ3yta99rcXNZL+fzeffWyoWhwl52khx84+f5ye\\u002ffo2M61QCPcOQRNS1hrpZi2mYfzXSzpiU1EXimwsp6dnxEoNHdiHd7DCfWqvIEFwSrXxa4kmyOWjAKTSQnzKXbPss3PoWKvnv1HKZoGsRlk3p+D769r1BWCqjlI2TlUS+QhCQbW6l5erbsd2sOf8ZgovCsgDB4LE99O99ExUGCHvsyLyUgrIXML29mT\\u002f4\\u002fEdYMGsqxbKHVa3Zs1nb9\\u002f2DqPgT995779Z3umZ\\u002fxwp6KuT\\u002f7b891tDYpL+XzxfuKJaGC7ltSaJY8+jfPsmvX95OPpeBcfxxHUdI26Vx0bUUZiwYCkZdrKKSxELQQM\\u002f2F\\u002fA6DjOcR55wSEf63SMPk9SRu41tFKbNJz91jknRVXxlJvwahLTo37+FgYNbiWOBk7FY\\u002fQHJ7OVwbI\\u002fm1Z9CWPapm7WAlhW3DLkIp12HYfFJ28Xv66B31yv4\\u002fV3GghknSOcHAc0NdfzBZz\\u002fMsoWzKJX9CpNOKRXncjkrCsNdge997Itf\\u002fOK+d7KwX1gFwmWKNE\\u002f+337840xzq\\u002fyrfKFwx2BxME6FXGnDdAujmAc3P8GvXt5GIZ+pFKsMh0BFIU5DC22r7zRCPtGmejWS1JSwHIS00KGPnS0wek\\u002fWwz4\\u002fGsYqyTRNoX3N+5ly7Qepn7MUYTmo0B+KJ0zoNRi\\u002fun\\u002ffG\\u002fTvfwulLdyc5NP\\u002fVPKJfyhYfovg4w9YfOxLAmE7lE8donzygGmOcZq8eXo9CIGKAtzGNtpW30Fh+gJ0HIx5HUopMq5Db3+R\\u002f\\u002f7oj3lz+37yuaGYi5TS8j0vclx3ie1mv\\u002fPVrz42fd26dXH67rzT8I67qOomBE2dnV\\u002fP5XKfKBaLkZSyQoRxbAs\\u002fiPjq3\\u002fyC51\\u002ffQV0+O4Y\\u002fbqCigMLUubSvugO3vgUdBVwUQyhNL9kOQtoE\\u002fUZrnXz5pwwc2lZ5kc9eLjUCgZU1xTKxV0JFEUJaSNtF2u5QsC49\\u002f1h\\u002fzrbaU2uk5TBwcBv9B7aB5YKGjz8gaZkheOpxxc++pvjh\\u002f4hxsrBwjSQKjLXSteVpgoFuE2g70\\u002fkSN0RYDi3Lb6Jx4WqTalQj0o0YPoTr2pS8gP\\u002f1Vz9ny46D5HNVz1oI2\\u002fO8KJvNrM5k+fZXv7qpMeVYnO1dvlLwTrugCnf9wYce+fd1dYV\\u002fWS6Xq6LrGssymvyrf\\u002fVzXt26j7p8hngcIddxTP2cZTQuXGVeMBWPMJ\\u002fPAD3qL+OsWiAtmzjw8XtOUjyxD7\\u002f3FCrwK3lvITRaQRRASgs\\u002fG6goRAiJ5Waxsnmc+hacukbTqcbNIp1sIvhDEfpKfCIR9KEuNVXXUq19k+Ch132MrreeRghB6MM1dwga2gSv\\u002fFRR6oc0q5arg0KToNhrgm06jpBOhoYFq6ibuajSrurMN1cgk6Blz65XUFEwpmUghSCMYrJZlz\\u002f8wke5avFsimV\\u002fmM9eKBTsweLg39Xlcr+zefNmNm3a9I7ixr+jBD31sb7xyCP\\u002fKJvJ\\u002fo8gCCpkGK01lpTEWvH1bz3BC2\\u002fsopDPjKvJhRDUz7ua+jnL0SocSm+dxh8ecYQKD2UUQyzVzgi0ABV4lE8eonTyIEF\\u002fl\\u002fmdTCLLiYAHHrgZmHe1pOOwZqBbM6a1O1bxidaYYpPhrDXpZg0f3c0gHdf8280hHRdhu1i2YzYBJ2NIOkmHGZOTT1tWmfPEfplTr\\u002f2CuNyPxsbNapraBcf2mnVWb05JpS5JdtB0rUliHg0LrqZh\\u002flVJ\\u002fOBsXk+FsLP4Xcfp3vY8cVBMaLUjI\\u002fJmLl0hn+WPvvAxli2cSakcVFe\\u002fxflCwSoWB\\u002f\\u002f7\\u002fffc8+Unn3zSvnPE7PcrGe8YQU+F\\u002fOHHHvuwJa0fAHYURSIVcikEQgoe\\u002fs6T\\u002fOqlbacVcq01lpPFbWxNKKyqUkeuE5LM6fzJtGebSAYfkkTE02owYUkQViUPHvSeIioPmu8mTDgpNEpB6BkhmX+N5JbfFhzeBr\\u002f66xjbrV6CSJhyGqWUeagyFchU8Ic+WkHChKtsAsmaEUOdX6v70Ek3Z6yAZEOwsnljKeTqKB3bx+CRnQlrTyMERCEklzPu7dJ62EAHdBzRtPR66mYtRUdnmdFILIpwoJuurc8RFfsq66iGlIIgiGhsKPDH9\\u002f0Gc6a34\\u002fkVYdeAymQyll\\u002f2\\u002fujee+\\u002f+yjspOPeOEPQKIeahh+ZJ23nGtu2ZQRAMqyXPZlwe\\u002f\\u002f7T\\u002fORXr51WyCtIaZ7DaqzF8H+O91WGPqOTY408djXSWnAhAGFM5KBshGTOVYJrPyxZfL3g2B7N3\\u002fybmChKtKE2a9IqxsrmaVl2I7HvUe44RNDfjQo945dbCWcceXZPfNj6NEPWemINpOZ90o02Zc9VrkcMxSrPVH9jouMhdjJrXSuFEJLW1XeQaWpHR9E5CXtUGqBr6zOE\\u002fd0I2002wBHn8wNmTmvhn977G7Q01hOEpn2V1lpblqWFEGEcBh+79957n6xuSHIl44oX9LTfuud5WY38oZvN3FEuleI0+KaUppDP8INfvsK3fvQc2YwzOkc+HkZqw3NoQ5Zm3qQU1db6iLVX\\u002fSVRyqFvhHj+NYLVH5TMv0ZgO+AVYdN\\u002fiDi2Byop9aTcFCFpvep95NpnVqrFIq9I0NdJMNBFONBDONiLioIRJBpZ0dgkzLLhCxx5zePscmOkGaWUlY1hrNstpcDzQxbPm85VS+bwo6deRSuNtCxUGJBpmkrb6ts5p1c0YdNFXpGut58h7O8aU7NbUlDyAlYsmsU\\u002fvuvjZFy7UuaqtVau68oojo8QO++95551h94JAyOu+Kj7unXr5Lp16+JI8R9y+dwdvudF1UKez7k8\\u002fcp2vvOzF8i49thCnjZWMCp16E+1uSuo+v3pIQTk6wWWDVGgCcqaUp+m2Kcp9WvKAxqvaH4e+po4Mho8jmHe1YJP\\u002f7HFp\\u002f\\u002fYYtF1gigwsvzC9xRHd0EmNyIOFisaF1xDtnUGKvAMMUYZ5lth+nyal1xP69XvY8r1H6Ht6ttomH81uSlzcBtasbL5pGosQgVlVBigo8AcI46SmnNV5dePE5mvEvLUTRoslvGDkCgaGtVsbqEYNmrKtiSf+dCN3PWp283wRqVMYK\\u002f3JKWTh02e\\u002fBw2Zh1H2Nk8rVfdilvfYsqDR2xCcdJj4K1dh\\u002fnm935NOmjCHELIIAhUxnVnxXgPP\\u002fnkk2lvgitaKV7R89ErfvnDD\\u002f+Ok8n8UblUikmuSWlNNuOw+8BxHv\\u002fer0zN9ViMNzAsq\\u002fRlGEP1mmYP2vi8UiKEVeGrjNSCQoCKYMo8uO4jFkKCNwBhCGEZvJImKEG5pCkPgF+CUh\\u002fUt8DqD0kWrhJYjtHs3iBk62D\\u002fm5pXfqpws1UFY0Kgw4Dc1LkUKv5sdYsnU54KmKYQtoOdryfbPgshBCoMiIIyKvTRgUecDG2IAx8VmbbNaftmHUcVU12reLjvn0BKQbHkc\\u002fuNK7nzPSt5a9ch9h06yfGOHgZLHlEUEycTWZUyDR4DL8C2LDw\\u002f4o4bV3LkeBc\\u002f+fVr5HNZNFA6sY\\u002f8lNnnlutPmn7Y2QItV91K15ZfERb7R7HolNLU5TM8++p2prc38ZkP3UTR89OptLJcLsd1hcKd+w8e3rBx48Z\\u002ffaX761fsLpWaU9\\u002f85rfnKvznpJTTwjBECCHTXHn\\u002foMd\\u002ffvB7HDnRRdZ1RpSZioqPmZ8+H2E7yHT6CNUaShEHHiooG2HwikRe0ahfKcelnmoFc1YI7vy8ZNZyQeBV4mUkHZdIyXUqNgE3N8PQ5wRYttH03\\u002fr3MR2H9PAAnNbITI72VXdi5+vOomJOD9+TkuAgacAQMTwwp4fqy3UcE4ceyitVasbLpw5VOPVSSkplnzXL5\\u002fEPP\\u002f9RCrkMSpu5amEU09df5GRXH4MlD88PKZX9Sqpz\\u002fuwpLJs\\u002fE4Sgf7DEf\\u002frq39HR04fjOOg4on3NB8g0T036xY\\u002fjA415ucaMDwd76Nzya9Mayxpe\\u002fZY+NqU0D3z2Q9y0ajHFsuHFa621lFJJKYlV\\u002fPF777rr51dyHfsVq9G3bdsm1uv1Mni4+L8KdYUZpVKpqlurIFaax\\u002f7uKQ4d60wYUaM1udaapoWrqZu7PFGV45iIQoJWqDCoaD6\\u002ftwOv6xjRYC9xGBiyR5XACwl7X9cc2Rnz3t+WXPthidYml1yZZJS8t6kb6ZcSd3loahK\\u002f\\u002flbMyQOaTN5sCObgAhWHNM5ZgVPfjPLLwxs2jn0Ro7Z1rWOI4uFXXSVIQlgmfmfZWE4G0dhOONhL\\u002f4GtlWOZenCfJfOm8\\u002fu\\u002f+0Ecx2Kw5CGSme0Zx2ZaexMzprZU5rpXrCcNYRybYYxxTHtLIzeuWsT3nngZ1zFWWfHYXux8A9LNUGmyqTmzwCdmvFvfQsuKm+l66+lK34Ch6yex8hSPf\\u002f9ppre3MHNqS1LxJoRSSti2LZVS\\u002f\\u002fPBBzfdDHReqf76Femjb9q0ydq8eXM85+EF\\u002fyRfV\\u002fhYtZArpchnXX7y69d5+a09Ywu5EOgooGHeSgqzFqP8UpWpOsafxH9FCOxcgUzzVBrmX8WUaz9A6zW3UZixiJSxlZwAgEzB7B9PflPxswdjAh+y+WEfAapS3lVFZ0KCV9R0HdVUsnli6AtCWpROHhg3lXR2qIpNiLG0pU5VHkhJMNBN55tPEQ52g7SSgFrAjCktPPDZD1OXzxJGZmRyWgeutCaMYvwgpOQFFEs+g8Wy+VPyCAIza822JGEUcd1VC8lnXWIVI6RN6cQBTr38U3p3vUbQ32XSk2fK2VUuz1Bmsy3TaFpy\\u002fZifT+fkdfcN8vgPfk0QhliWCSQKIaTv+3Eul1so7PJ\\u002fEELolStXXpFW8BUn6OvXr5fr1q1TjzzyyBLbtteHYaiqW0Dlshne2nWIHz35CtnMeEJuGjhUiBlVk0PH\\u002fjPkk2oVm2BVZLqYZFqm0bLiJtpX30mufValiYNh0hlF6+Zhy1Oa7\\u002f55xMlDuio1NjaEAB1DtiD49B\\u002fbrHq\\u002fICib71RCCdLC7zlJ17bniQNv3KYMF4zEBI69Ij1bnyMq9SNsFwGEkaK+kOP3132A9paGSpfW0dcjhgXhTMWgcRkcx6ard4C3dh7CkpKprY1Mb28mjpLRdlISB2UGDm2n480n6dzya8qnDhvXxXHPnMMTEhUG5KfNp37B1WOm61LlsHXXYX745KsmaJv8TkpplUql2HUz9z\\u002fyyCO\\u002ftW7dunjTpk3W6BNd3rjSBL2i02LNf8lkMk1RGGqg4pf39A3y+Pd\\u002fTRBGQyZi5dumYYTb2EbTomuTYPK5Csdw7ZdGqN3Gdlqveh8ty96Dnc2bVFZyeK0M7fPITvjR\\u002f4wJPBAj5VKP+LcwYYBMHj76JYvbf08SR5Wq1ORFz+D3nKR723OG\\u002fnmmHeScYSwHFXp0b3sOf8CkqwQmjy6Auz59O4vnzaDsh9UDEc\\u002f++IAlJT\\u002f99et09QyQz2WYO6OdMFZD8iikEeo4xus8StfbT9P55lMMHN5pWkWfSeBTC27uSlOUFAVjCLsJ3v7kV6\\u002fzxrYDSdORlA2phQChpfWfv\\u002fa1v5q6du1afaUVv1xRi9Vai40bN6qHH3307lw2+wnPK1dIMQCWJfnOz17k0LFOMu7IfLkApbAyWZqX3mh8PnWmANZZIA1kRSFaxxRmLKRtzQcozFhoglnp3qRA2rD4WkmubviptTKCn85VTAN1aIhD8+fmz0g+9iULaZsNwAi7QjoufvcJure9gFah8asnQrNrjRAWOg7p3vY8fu8pZCUaKPCDkN\\u002f6yE3cvGYJpbJfaexwbhDESlGXy9LTX+Tnz75BXT7L9CnNSZXZ6I06Lfrxe0\\u002fRu\\u002fNlOl5\\u002fguKRXRDHZjNI1j7GqUBrGhetwWloG+Wvg+HEx0rxrR8\\u002fS29\\u002f0YzWwqTcwjCMcrncfMsJ\\u002f5UQQl1pJvwVI+hJRZF+9H8+OkUI+e+jIZtcpCb7S1v28OxrO8jnxmK+mTxw46JrcRpazp5eebZIBF6FPk6hgWzztGGBuSCAqXMFN\\u002f6G0cwwRNrKFEx0vdQ39O98A7g5E43X2qTarr5D8Bv\\u002fyMJxDb1USCqMsHLnEbq3v2Q2l7HIL+cEEyRQKqZ7+wuUO48h7IyxIqSgVPa58z1X8Yk7rh1W431+MMMVM47N86\\u002fvoqO7n+lTmnEdi3QQhK5KFVa+ZTuG9jrYS8+Olzj1xhMUj+9LNoM0lTZ8o9cqRrpZmpfegHQyw5tbYuIJGdfm0LFOfvjkq8kaKsewy6WStm37Hz702GPvudJKWq+YhQJCCKGjPP8ym83OjMJQUTHZJd29A\\u002fztz180L\\u002f7ob5qxRjMWkp82Dx2ONt0mBFqDZRGVB+k\\u002f8HYlsp5ySm7+tCRblwipMGa51vD6zzXf+g8R3\\u002fr3ET\\u002f4SswvHo556UeKfW9oBrqNpnezoEK4+nbBb\\u002f0fFtmCqWSrNuNLJw\\u002fSs\\u002fPlJAJ\\u002fYcKHgN6dL1M+ddhoSq0qnVtWLJrN7378vQThxKSVldJIS9LR1ccb2\\u002ffTVF8g47oJV0fh1rdQN3MxQprprabXHElQ0k547j10b32ezjefwus6bjaCkdZNYsJnGttoXLAqiaWMXksu6\\u002fLUi2\\u002fz5vZRJrxyXddB6f+0\\u002fqGHshs2bEgV0GWPKyK9luYvH3z00VW2lF\\u002fyfV9RtUnZts33n3iFoye6yI\\u002fksadplsY2GuavqgTKLhaEtCke3Uo42GcqwoTGK8HymwWLrhf4RSPgcQi7Xla8\\u002fCPN4R0amaTVOo9qVATSNim1TN6w7NpmQ\\u002fssQct0wbT5gg\\u002feI3niUYVfHm7Gl47vRVo2TUuuT\\u002fjn1eH6s70Gi95dr1I6vi+ZLmM0eRDGtDXXc+9v3UE2HZhwQfcyKX6JY0rlAEtKXn17H7M+2EYu6zAw6CHRWG6G5mU3UjdzMcXjeyl3HiEqF5MSXlEJGAL43ScI+jrJT1tAw7wV2Lk6w46rTJCUpsfAjIX4vacondiXcOKr8+uCIIz47s9fZMGcabiOnUbhrXK5HGez2dvmeeW1QojHksDcZU+kuSIEncQGE0r920wun0\\u002fSaTJlv23dc5hnXt1ONjtGlD1JRTUuWoN0M+dhso8kmiT\\u002fqQ7+JGaikDbRYA+DR3eblxBDb83XC276pMRxzXt5eKvmpR8bjY02JnpaoGI7VKwArTSlPhjs1pw8YP4tBOQboX22wHYNB74y61VrhO0yeHgnwrJpWnTtuTWu1BqZzH4bPLKzIuRgaKO2JbnnM3cwc1pLYrJfuEEohdlABotlXNdh98HjFMtlsq5LnyohLUEceOg4xKlvpqnhBupmL6V4fB+lY3uJg3IyukpU3Bi0ZvDITvye49TPXUlh+nxzeWlwQ4NG07hwFUF\\u002fJ1G5OLzTbvJe7Tl4gidfeJtPffAGiqWKiyJjFQPyTx966KEfbN26tf9KGPV02ZvuazdtsoQQ+qFHH\\u002f2o62Y+7nleJQAnhSk7\\u002fMETL5vUzkhfUZg2UHWzlpBpnnpOZY+pcKSmobBdY8ImaSzDKTc+nrCTuWKWTf+h7aignDDOwC\\u002fDDR8XzL3KVJ\\u002f97OuK7\\u002fx5zN5XNY4LTga0FmgEKo6Jw4g4jMxLCVi2wMlK3JwgWxC4eePPH3xbM9hjAnwj1y5sh4FD2+jb96YplT1jm6bke47LwNHd9O1\\u002fa9h3pDTBt9\\u002f8wA2sWbFgwoQcjPbs6R0kCCMsywxjOHCkA8cZSnFpFSd9901q087V0bRoDW3XfpDCrCWIpBCGqvoE6bhE5aLpYLP1OWKvNMQ3ECalYWULNC5YlZ5l5O0g49r84rktHDnRVa3VRRiEcT6fWyQs5x9u3LhRbbgwP+mS4LLW6FprsWHDBr1p0yZrsOz9c9u2ZRiGFW2ez2Z44vktbNtzhNwobZ6Y7A0tpnnEmSiiVawV6ZiIfcqCC\\u002fu7iUp9ROUiceiB0sZPTGikZsBgPUJalDuPmH5vQhN6MGelMdl\\u002f+nXFW08pSn1Gg7t5I+BApTmiU9eMdDPEXgkdR6g4RMVRJdcvkhpzaUncPCOMjRGce+nQf+Btgv5uGudfhdvYhlLR2OOhEkugfOoQfbtfM9TYhMxvSUGx7HPjNYv52G1rKPtBZSbchSKJaHOiswelTUdez\\u002ffZe+gkjiUTyrKsujQTO9BxjI5jnHw9zUtvojBtAQOHtlHuOEr1oAeTbjTEonCgm8YFq8lNnV0ZcqnjkNyUOeQ6j1I6vi+JRQxpddu26eoZ5Ce\\u002fep37f+f91U6QDIJAo\\u002fU\\u002f\\u002fau\\u002f+qtvfE6Ik5c7Y+6yFvTNmzfLjRs3xg899tgnMq57Z7lc1kIIy3RwNTnznz39JpaUYygs06+9YcHVSDd7Gm1upCXtn6ZCn+KJIwS9p\\u002fB7O4jK\\u002fZXSz2H+biU3Zk7scyKxAKzKj6VlNPYP\\u002frvixAFNJgfZQjoKXQwJeH0ThRmLyE+Zm7gXEZFfJvYGib0SUXmA2C8SeyXC0kDC+x46t5mhZg37WZoD97qO4vd1UDdrMfVzlmM5maQx5ND6hW0T9HXQs8NE7SuCIgReEDFzaiuf+833JS5FZdTRhUMba+HIia7KJi2F5OCxDpRS2NZQB5thqCIvoWPchlZar7rVbFT73yIs9pmqtzRQaRvt3rX1Wer6ltC44BozNSaKQELjvKsIek6iQq9isUE6nsvh+dd38p7Vi1m5eA5lz0dKKaIoivP5\\u002fJRysfRHwL++3NNtl7Wgb926VW\\u002fatMkdLHv\\u002fMjEVFWBprXEdm5+8tI1jJ7tGp9OS6Gp+6nxyrbPG7r2eCkki4OFAD6VOU6wRl\\u002fpRcWTM9mSG+FkbZxW\\u002f3ZjVB99O\\u002fOp6KmxSnVSyOIVGCrOWkJ82F8vNVWlvgZOrwyk0kNIEVGyIOSoKib0i4WAvwWAPUamf2CsRe0W01kOz1dLrsx1Qiv4Db+N1HadxwSqybTMqHXOE5RCVBune9nxlfFO1VnMdm89\\u002f6jZam+ope8EFptKGQwgIwogjJ7vN7dUa27bo7TfXYiWNKMa3xFINb+5Zbuo83KYpDBzYRvHYnuGblrRAaAYObycq9dG07CbsbAEdBjiFRurnLqd316uVjTqFlIKSF\\u002fL3z2xh6YKZFZdFCCGCMNRI8fuPPPLIX65du\\u002fbw5azVL1tBr\\u002fR\\u002fe\\u002fTRj2Qz2ff4vh9XKtMcm5OdvTz54tvGlxsZgFMK6Wapn7cCPVbUWScDAYRF0NdJ8dhuM4gwoZIKKU2eVcNZ5aPH8381pByO6pStk68nN20+ddPnY2XzqDiucOnTtWqthhecCDFUbpo1fHshBCqOiEoDRKU+\\u002fJ4Oyp1HiMuDlR5vxic1\\u002fdDDwR663vo1hZmLqJ+7EjtXIPbL9Ox4gajcj7CGOrIIISh5Pus+dgurls2tDkZNCFIm48muPrr7BrFsOeSTV+6ncR+kbZOOXBoTVSxF6WRpWno92Zbp9O55nbDUmwxp1KR94b2u43S+\\u002fkual7+HTFO7icJPX1Dp2Ve92SmlK6Oz3951iNXL5+P5AUIIGYVhXCgUppbLpXuFEH+2du3ayzbmddkubO3atQpAaP2PhTBa3PxT49o2T734Nh09\\u002fTgJe6kCYaaY1M1YjFvfbGhkKdLgku0QlQfp3fkynW\\u002f8ksFje5JOpO5w\\u002f9OomeH89qi64MWvKmQZG2lcr\\u002foHhZmLaFq4GulmicNg\\u002fKj4yGITbRozaBWho9BsDlrjFBrJT51H09Lrab\\u002f2AxRmLTbrrmZ\\u002fpSkoIRg4tIOON56k3HHYDELoOZk0VKz0PKfsBaxZvoCP3raGshdMeEZSa3Ach6Mnu+nq6cexx2gKknpJlsNZmVRJkYCOQ3LtM2lffQf5KXOHer8zFJmPygN0bfkVpZMHEbaNsF3q56wYk2wkgDiK+ftntxAO58pL3\\u002fe1itUfPP74482bN28eg853eeCy1Ojr16+XQgj10EPffK8Q+kO+71d8c9exOdHZywtv7Ma17RH88KTpQL6BwszFqFgNf9FtGx3HDBzewcDBbUReCWnbQ9TOVOC0TjqsKKSTwc5lsPONuPVNQ51Skxln4WAvffu3jGJZJQuq+InVa+zb+yZReZCGhauQln0e01fFsNdJxxHpvEI7W6Bl2U3k2mfTv+8t\\u002fP4OpHQq+WZIItLFXrq2PG2OVtXFRQgIw4jW5no++xvvxbIkwVgZjQuECXzH7Dt0kjCME8ryGB9MileEkBWm3BmODJg211YmT8vKWxioa2Hg4NtoHQ+Z8paNiiN6tj2PCj3qZi0l2z6TbOsMvI4jwyoClda4rsO2PUfYsvMg11+1MO0gK+IoUtlcbrrve\\u002fcC\\u002f\\u002fVybVBxWWr0DRs2mL9I9Ye5XE7o5AlrDbZt8cIbuzjV1TeSomiQ8M2tXGGIMI55uYN+U2bZs+tV4tBPuNFiuIBHYYWN1bDgalqvSdowXXMbDQuuoW7WUnJT5pBpnU6ufZbxqwN\\u002ftKAKUbEE0n9XY+DQDrrfesbkgc8m\\u002fXU6VLS+OaeKQ3KtM2hffSeNC1eb9FN1MLJKu4+3wfzux25h5rQWguB8ilXOZskC3w\\u002fZvvdIJXU1JhLW3znTeoUwmRGtaVxwFc0rbkba7pCVo5OOQULQu+tV+g+8jbQc6mcvHdWgAoyvHscxv3pxK2EYI9LOtaC11hrNfZu+8pW6tWvXqsuRGnvZLSjV5o888sgSaVmf8DwvybGY\\u002fmLdvYM8\\u002fco2XMce0THGpF3sQiP5aQtICeUiaYA4cHA7nW88id9zEllNj6zy74Rlk5syl7ZVt9O2+k6aFq4m2zwNIe3EXI4qJjxK4feeYvDwjtGCKkyrpkxjK\\u002fmp88zbMKKIQjoZyl1H6Xrz10TlgXEHBp47Es59FIIlaZx\\u002fNW2r7yDbMm14c8gxzmVJM4n01uuXc\\u002fO1S5Pg28S\\u002fIjoJuh091c3xU71J\\u002ffdpPpspJNNTz\\u002fVMiXYPAwpT5tJ2zW3Y+YaqDMwQV6J\\u002f35v07X0zGR89OoCrlCbjOmzfe5TdB4+TqWLL+b6v3Gz2Kq+h+c7LtWb9shP0FAq5NpfNNiillBBCKKXIZFxeemsPJzv7jG8+3DlHa0VhxiJTJqoiU0cdBnRvf56e3a+aksaKSaZJOfBoTX7aPNpW30Hr1beSbZ5uTLswSDRySp+s0oBSMnhk15jdXXRCsWy9+jZar76Vlqvei1vXbAStqmRN2i7BQDddW54mKg0mNM4JIlglDDAVBrj1rbRdcztNi9YMyxVXQwqBH0bMmdHGZz50E1F0mtnlFwilTRHLlh0HKXtDE1NGQZvUoax06zhPiHRmWzttq+7AbWwbEvZKitII++DhnTTMWzFUTVSFtNHG0y9vN8tLeBDCNEQQCv0ADMWXLidcboIuNmzYoP\\u002fiL\\u002f4iB\\u002fqupAecALAsi8FSmVe27EmV1nBohZOrIz9lDioKkXaGsNhL55tPUjxxYHirpyozPdMyjdZVt9Oy4mbchtZKfXnlc2ORSyyboK+T0slDI7q7GNO5fu4KWpbfhLDNQMNc+yzaVt9J\\u002fcwlybGrjmW7hMVeurY+a\\u002fqaTXQDiYQdKBDUz1mOnasfM2Wlkvz42o\\u002fdQktjgTCKL1pJgG1JBkoeO\\u002fYdTdY43ieNf245mfFN+7NFsqnb2QKtV78Pt6m9qi59KNXas\\u002fMVolI\\u002f+fbZo7gXhi3n8Ob2\\u002fRw+3kkmY7S61lqEYQjoO7\\u002f5zW9eLYS47OrVL6vFrF+\\u002f3hJC6NYpUz7qOM7iIAg0IFQShNu9\\u002fzh7Dp0g67qj8+YqIjd1LlamgLBsvK5jdL35FOFgb1UddfLZyGj2xsXX0XbN7WSbpxu2VRpRPd0bnvxq8PDO4VVwiUAVZiyiceG1CcnG9FzXUYi0HZqW3Ujj4muHAnRCgFYI2yXo76J7+\\u002fOo+Bznu41EJcw\\u002fdL3StsGy6Nn1Cn7vqVFugpSCsh\\u002fwwZuvYc2K+ROeL6+G0hrHtjlyvIv9R06RyTjjDNMQaKWw3Bx2ri4pwr\\u002fAkycFTpabpfWq9+E2pbRoWfk9Anp2vYadzSV96qq4h0luv2+wzCtb92EJkbL7RBzHcT6fz0eRWgtwuZnvl42gp92gtNZCKbXOdV2JqQpKKjE1z762wzTaH\\u002fZFQ0CRmRz5qfMQlsXgkd10b32WyPeq\\u002fOchfy3TMpX21e+nYc5ygCF\\u002f7EwqTJuJoeXOo5Q7Dg0JTFoh19BM44JrEsbWcBadGTcU0jBnBc3LbjIbQNpcQSuk7eB1Had\\u002f7+vnRzFNhFtYdqU5g5ASFXiExX4GDmyleGzvqHhCymOfP3MKn3z\\u002f9Un66NxPf7YQGDfhlbf3JCyzcU5W8XBiYwVZ1sR4NUmQ1HIzpvd7Y+uQZk8CdIYdecAE7\\u002fTwjJkGHNvilS17GCx5WEObsoiiCC349KZNm3JJ5P2yEfbLJr2WuuKLFi2aLoX8cLlchoQFZ9sWxzt62LHvWKXrxxCEyZtOnUumsY2+3a\\u002fTd+CthIM+FHBLe7M3zF9J\\u002fdyrkJY95DOfrY0qJXHoM3BwqwnEpCkrrRFS0rhwzRnotoZim58+H9D07HgJQ\\u002fYzx5G2y+CR3Th1zRRmLTlz3XwqsFJWGHBhqZ9woBu\\u002fr5NwoJs4KCfWSogYw1JQyrRd\\u002fu2P3kx9XY6yH1xg6enpYVmSrt4BXt26L8mdj39tQkpiv0znm0\\u002fStPRGsq0zJqhhyJBmb1lxC51bfkVUGqhsgkJaqCSTYu7ZcK1u2xYnOnp5a9chblmzlKJpviF939eO415dKgXvAZ5cv3692Lhx4wT6YeePy0ajb968WQJCwYczmUyL1lqlAxIzrsOWnYfo7R9MgnBV9y6hfeZnLDSR031bhvdaF9KQYSybluXvoWnRtYhEA5\\u002fTC6N1Umu+l6C3Y0gzirSpxSJyrdPP\\u002fCIKM3ihMH0BTYuvNddS9XkhLfr2biHs6zp92k0PaW8dBgwe2WV6qb3+S7refpbikV0E\\u002fV3EXnncNaUm+203rGT18nkXXcjTyPVLb+7hZEcfzljp0dGLJPbLdL31DOVThy+g4+0ICImOQ+x8Ay3Lb8ZyskMWFvq0z9DU5ke8tnUfYRRRZZQo27FAxHfD5WW+XzaCvnXrVo3ZMNcZ+TZP07IkxZLHlu0HGMsS0irGaWjF6zpG7543jDmdIuG82\\u002fl62lbdTmH6\\u002fKGWROf4QgvLIhzsYeDw9qHmbgBxhFPXTP2clWN2LBn7YCb9VjdziamsC6uCQlKiQo\\u002fePa+PTaRJNi\\u002fhuETFPvr2vsmpV\\u002f+e3p0vUzp5CJXwA6rN9zGFXAj8IGLWtFZ+8wM3EEXxRbUzNWDZkv7BMs+9sfO0KbXhX9QoLRAoera\\u002fgFdh8U2QsEchmaZ2mpZeV7XSMy3J1Ktv33OUju4B7CEegIijGK25\\u002fWubNrWsW7cuvlw60FwWgr5+vZYbN25Ujz\\u002f+7QVa6Zuqxx3bts2xUz0md+naowI3QkiUX2Tg0I5KlxHzC\\u002fMQ3cY22lbdidvQhgrP0+xL\\u002fO2BQ9tQfjnJ6SbaHKiftxIrm6\\u002fSCGcBYYYwNMy\\u002fmmz7rCFCS0LR9HtOMHhsT5VWT4tUXFTo0bfndU69\\u002fkv6979F5BcR0h7e\\u002frg6IDfWJSUdWD\\u002fzwRurouwX8Z1MUmpv7TjEwaMdY5Jk0gEP1RAC6uvy+GGMVhG9O18m9ksTViqbbrr5KfNomLvCVPad4T5obWjCfYNFtu89gi1ldRNJ5bqZuVa5\\u002fB6ADRs2XBatoS8LQYcNEiCIvPfmC\\u002fnWMAxjQGptWgG\\u002fvfMQfhCO\\u002fSIKQex7I35nNHm2ZTqtV99mqpTO1VRPkQie131ieDotyc1m22aRnzJ77Aq5szm2EDQtvg47Vxga05yUmA4c2kY02AtVo6KKR3bS8fov6N\\u002f\\u002fNioKKvRQRvWLHh+m91vI9dcs5IZrFl3UKPsQBFGkeObV7aStolNohsY6KaUqz9KSkmKxzNpPfoBPffh9DA6WUaU+Bg5tN6WBE5WGFKY6sH7uyjHTauN8BYDXt+1DqaHr0VorN+NKKcQdABs2bLgscuqXhaBv2LAhBhDo91f\\u002fXAgIo4htew+bf493gOqHIgQ6Dsi2zqTlqveaHOz5CnnleIYfP7xHs6FmNsxdkaRnzuOlS2IFdqGBxvmrqvLrGBPeL9F\\u002fcBvSdgiL\\u002fXS99Wt6dr5s+qU5rhGIcV728TJ0QkAUKZobC\\u002fzm+2+Y0C7w48G0\\u002fLLZffA4ew4dx3WcpKow8Xf9kKUL5\\u002fDHX\\u002fosWhsOvEisJa3h8NGTPPaVjdz6njWUgxiv4zDhQPeYVNXzQ7q5CpoWXYuVLVQ6\\u002fIwHDdiWxcFjnRw+0WWqKHVlugsa8fGvfvWrTjKrbdLN98tB0IUQQm\\u002fatCkH+oNBGAJIlQThDh\\u002fv4sjJ7qRK7QwPNQmM5dpm0XLVLUjLubBmkEnAy+s6QtB9fIQ2DylMm2dYVnHEeT9LIdFhQH7aPPJTZg1lAtJzdx6ld9fLdG75FV7n0bG7m44+JKE3dtt6gSCIIj76vtXMndFOEIwx6GKCkR79zR0HGCx6w\\u002fxzpUzByM69h\\u002fiXf3QP\\u002f2Xjlyl7prGG1hrHtTlw5Dg\\u002f\\u002f\\u002fWLzJ09HWFZxOVBU3EnJ5BJiNnQrUIDjQuu4UwBOVMubdHVM8D+Iydxh5iaMo5j0HpFpq7uGoD169fXBD29CYODgzcLKWfGUWTYcNqkffYdOUlP76BJq532mRrhy7ZMo3nFLUhpX3jHVwE6jhk8snu4P6nMWN66WUsnKCgEoKmfdxWWm6PS8D2h9Q4c3I7yS1XNGsfR4ob1SnkAZi4RrLxVjKDgC7wgZOGcadxx01V4QXjR2G\\u002fVsKRksBywZcdBXNdhZBWaGblcZtuu\\u002fTxw12\\u002fxmY\\u002fdSalYQgqB6zjsO3iU333g\\u002f+Z7P\\u002f0V+azp21c6dYjIG7zwgqBqJBmR\\u002fLT55KfOQ59NTEfA7gPHk8lA5kda6zibzQri+IPpJU7MAs8fk76AO+64QwIIy7ozk8kInTTtllLiBxF7Dhw3XOjTPUthcumZxlZaVt5iSj8vVMgTcozXecSwyarTabGpkLPzjRfmFgxdgOmBVtdC3axFwyvNIGkicXotLiWEgalGvXWt5LP\\u002fj0UmL\\u002fBLVVR8YWyi265fTl0ha8hHF1nSzXhki6MnujjV1Yc9TrRdCMMoAFhz9RLj9wqTHdBaE8eKYtlnsOiBZRH0d9Cz7QVzryay8CbZdBsqAdbxeS9aGcbmjn1HKZZ9LKuyDm1ZFiBuTP496X76pAv6U089ZRpMCLEmqZTSyb\\u002fx\\u002fIC9B09g29aoSrUKUj83X0\\u002fLyvcinezE9G4XpntL8djeoVx3wqqyc3XkZyyY2B7xCY23MGsJbn3rqKYRp9vphACvBG2z4DP\\u002fzOLOz0n8MhzeobHsSryeMIyZOaWFG65ehHdes9LOHSZzIjlw+NS4\\u002fHljBjuc7Ojivn\\u002f6b\\u002fi3\\u002f\\u002fVB6hvqiGJlmlEKwVVL5vCJO67lvdctMx61sPG6jjJwaLsx4SesPiDpaVDXRN2sJRCrcb0yjan46+0vcvBoB5ZlDeO+a6Wuefzxx9s2btyoJjvNNqnMuLTH1qaHHppW1FwVBKZFT9pmaN+JLnr6i0jrNJGlpDlEy\\u002fKbTcHGhDCnDDnG6z6B13vS9GGrMOxi8jMW4uTqq9o\\u002fTQD0UMnkMC7AaZDG4oIyLLtJ8IF7LOqaIfShr0PTe0pjOZA2YQy9mFuvX0ZDfY6Sd3HJMSmMMEiOd3QThlHSYGK0grMtiz\\u002f8v\\u002f5fOrp6qa\\u002fL4ftmfPF7r13GB997DTOntpLN2AgheeqlrTz2t08hbIfS8f3UzViITMfeTAQS5VGYuZjSqUOEgz2jeskNfVTiBQG7Dx5nzYr5+H6AlFIGQaAdx1kYqHgR0JkQwiatIcWkavSUOVSWcpHrunOiKKqMWXIdm50HjhEE0fgD\\u002fLQGAU1LrifTNGXi5qlpE\\u002fEtHtttOscIgcnBKOxsHflp85Pik4kSFF1p6Niz7Xn83o4zaqlkjyMKzKinT\\u002f5ji3yDGeggLRjshlJ\\u002f2hxWEIYh09qauPHqRUazXqJAsMBE3ctBeFrvS2tNsVSmrpCnWA6YO6ONf\\u002fyFj\\u002fKl3\\u002fswC2ZPRQgYLPl4fsjq5fOYPqWFMNKosIzXfdJ0\\u002fJnIqj+lsNwM9bNPH4cRSa3FkeNdhEMTfAWg3ExGoLgBYOvatZNKhb0suO5a2tfZti2CIFDpLO0oNjcviqtoidVIIuyNi9dQmDZv4rRrkjcP+jrwu08kvrlZgooiClPnYufqJnBT0ZVcWM+OFyl3HBpebTcGhDQjnSwb3n+\\u002fZNX7JXFShJXJgZOF8uBQbldgZpmvWjGfqe1NE97o8XTQGD876zjj3q40ThAEEfmcxac\\u002feAMffd9q6gs5Sn5AauHV5TM4tk3\\u002fQNEUlFgSHQeExV4mLvpeWRQqCsm1z8Zt3EPQ3zlm4E9r0\\u002fvueEcvnb2DNDcWklr+NE1oBJ20a9IkYVIFPaG9onR8nRmTa5o\\u002fWpZp+Xuqu280tx2GoqMzFlI\\u002fe\\u002fnwhg4XiuQwpVOHUWEwFOlWGiuTozB13sRqDiFASnp3vETx+P5xG0NUPp6kzjIF+MQDFitvE4S+EfzyAPR3abqOwPbnh8x2pTVZ1+Hm1YsN1fUSeosC04Jp7sx2bMtCVCIGGFdFGAGPleaqJbP5zIdvYsn86fh+RMkzdOV8NkNP\\u002fyBPv7yNHfuMldc\\u002fUMKyJHFsCoUm1sJKoE09fN2sxXRv7RhzL6l0s+3spbt3gCktDYRRjEyYnVqrNQCTXdwyqYL+Z3\\u002f2Z4l0syodDKC0mfHV0180nWScEWk1YerJ3YY2mhatMamoqorQC4aQxH7JFFCMKFzJTZmDU988gdochG3Tt\\u002fdNikf3nFnIhfHHW2YIPvmHkmkLBDue1xzfCycPKDoOa\\u002fo7k\\u002fy5NBpfCEnZ81m9Yj5zprdfUrMd0jLYiDUr5\\u002fOzp9\\u002fg2Kke8jnTTyAMI+JYMXNaCx+9bQ23rFmKY1uUyoHpLSKMkL+58wB\\u002f\\u002fYNnOHS8E4FASmEotBhrYGjAxgQjCchmW2fg1rcQDPaMqdWFMP3pj57qZtnCmZWfx7ECIaf\\u002f5WOPzfrSXXcdmcwZbZMm6OlFP\\u002fTQQ9OEENOVUqSRSSkFHV19DBY9CiOnoya7bOOSa89QEnpei0LaLsXje4n94lAARps+8Plp8ybmPOkxbZfBw9sZOPj2GauyhDDjlqctENz4G4JDW+FH\\u002fyumv0vjDRrBth3DDE0p\\u002f4bybiahXn\\u002fVArJZh2LJuyh94E6HSCma6gt8\\u002flPv49G\\u002f\\u002fRWdPf1kXIdZ01q46ZrFvO+GFbQ01lH2A0N1xlgCmYzDky++zTe\\u002f9zRhFFHIZYZdl\\u002fl70qNfCjNuaqKhFJabJTdtHv7u7rG3yCTYefR4d4UOa\\u002foqxAhospVaCRyZzIDcpAl6etGWZa2ItW5OaY9ojVKaoye7jB85QpurKCDX1E6moXWCctgjjx\\u002fidRw1L41ljq3jiExjG5mm9ok5pzYDDcvH99O3542krJbx3UxhtHSuTpBvgCe\\u002fqeg9aXxxaUGujsqsCa2HDiOEIIxiprQ2smr5vCSldunjr6ZSLuTqJXP5P3\\u002f\\u002fUxw+3kku6zJnRjuN9Xn8IEprugFjzruOzfefeJnv\\u002fvwFbMsas6AJSDbnDFJaF8d8F2b4Za59FoOHd5ghH8Ki+mGllsWRk13JBiQQAqGUivP5glUqDS4BftbT0zNpgj5pUfetW7cKgBg5P5vN2rqqlYfWcKKjDxjj3dcamclPLCMqOa6QphTV7+sY1m5JK0VuytyJKY9MNLnfdYyenS8lP5SnP24Sr4sCzYG3NKV+yDcYDS5kOuZp+CHS9z2KYlYunk1TfQE1Zu\\u002f5SwORCHtrcz03rjJzzDKuQ7HkE8cKKUXCFTctvb\\u002f78xf59k+fx7FtpJTjtJsCIaVpNXUxAw8qxs7Vk22elmRhRn9ECkFX7wADJR+ZKAghhDKMTjEXoPlLX5q0BzBpgj5jxoxEXerZjutCutMJgVKKE129o\\u002fO8GoS0cPINF2dRQuB1HatqGpgQZLIFMi3TKum880bCXw8Huune\\u002foIh3MizL4hRsRFuy04HNQ7\\u002f6hCTDOLYmJCWlKxeMd+c\\u002fgKWPhEQQhBFMcWSR9kLUEonpalDn3Fdm+\\u002f94iX+7u9fJJtxjA8+1g4GFTfOKTSesQhlIpCbMneIZzwM6STYkM7uPlO2aogzMooiLCnnAqwTYtLaS02WoItjx47FyQrm6NQ\\u002f12nzvRIDg2XkqBIso3WdQkPSyXQiV2RotF7XkYRuSpINVbhNbcnLdAHFK4mQx36J7u3PE\\u002fvlYZM7z26NqX86+ldSCpTSlDwfx7ZobqzDC0JmTm1hzrQ2ovjSBuHGgxACKeUwATdVappMxuUHv3iFv\\u002fv7l8hlMsN88RRmgk6MVgoVh0gnZwKkE8lSHL1otIpx65tx65rQarj7ZuK1xmLp7R80wyHNtYo4jtFazf2LTZtyMPp6LhUmx0fXmo1CqCeffNI+ePjwnMjsxiKlFHb3DZqgjBzpuGqEsLBydUxoqL1Sc37c9FdPz6sN7TXXPvtCT2DKTuOQnu0vmhLLM+TKzxZpDrpUDijkMtxy01I+cttq3th+gG9++5fMnz2F1uZ6SuVLlzs\\u002fVyilqctl+Nkzb\\u002fCdn71AxnXM2zDi9ug4Jts+i7pZi5GWTd\\u002f+t7DdvKE9xwEXVVkqhZUr4DZOwe\\u002fvRowgylnSDKXs6SsazrvWaDCCjpjbEEUNQPniLfD0mBRBT0W0o6OjoBWzkkCcSBsV9g+WCcIo8duGf1HYtunvNeE7o8DvOZmMasokgS2FlS2QaWw\\u002fw\\u002fjeMx8bIejd+Qpe97EJE3IpTbBNKcUN1yzk47ddy8K5U8lkXA4d6wLLYtHc6ckSJjIHOXFQSlPIuTz3+k7+5ofP4Dr2aHMdUwdQP3c5DQtXGctESlqXv4c4CoyGvQTXppUi0zyV4rE9Y6TYBHGs6O4vVpgCiUbXUoo2HUV5gA0bNpwu7HrRMKl59GKxmNPCalNxnKTWNFII+gdLBBVedFV0U2tTxnle43lOg6TFb9BzaiilJkBHIdnmeViZtIrpPJBYC317Xqd4fN8Zc+Vni7RLTFNDnrUfu5lbrl2GFIKyFwCS5oYChUKWBbOnJP3gLkchV+SzGXbsO8Yj330KACFH++Q6CshNmUvjotXoWKF1DDEIJ4PjZMfkzk84UvO9sQ3pZlGBN9x8T9be119MqLDJz03BjiRQrcD+i7\\u002fQsTEpgp7uao7jZCKlm5P2QUJpE9QYSAQ9l3GJ04duSMVY2fwETzNJou2lPoLB7mHHFtIi09SOkNb5pdWSNNrgoe0MHNo2YUIuhJmRtmLRLO769O3Mmd5G2Q9QSc5caUV9XY7F82fQ1FCoTGG5nGDqGRxOdvfx8Hd+iecHuK4zOjOgFFa2zgi51ia9UFXVd8ZmJBO7aBP8q2\\u002fB6xjZkdbEl4pl3wxhFJXIuwZELKLpl26hozGpRS1xHLfYti3Tjq8CQawU\\u002fUVvXP0jnezEaiezFeN3n0git0MFLFYmj9s45awaBo6Gma1WSnLlJvB24csVwrRoft\\u002f1y\\u002fnyvZ9gxtQWimUPIMlSCKI4prmxwPUrFiTv4WTH24dDp9V0ccQj332KIye6cV17zPSf1orGhauw8\\u002fVmcOZkblhaI6VNprEtaQRa\\u002fTuQwvS9i6paYYF5ZpaW02DyWkBPqqALIaZWaxohTN7X8wJEErmshtYa6VTNUJsoaI3fcypZhPmj0TiFRuxc4dzPpTXCcvF6TtC765XksOfZV64KMhHyD793FV\\u002f8nffj2Bb+CBKMSDxAx7a49uqFhip6MRhjF4BUm3\\u002f\\u002fFy\\u002fz5vb95HOZ0XnyhHacnzqvqtvLpLdPAAF2rm5UF9pEXxiNnnbUrRijglhG7Zd+sUOYlDuXzj\\u002fXUjaawgbD\\u002fxXCaHQ\\u002fCBPtNErUTWXXhLG7zDSQyBsgLPcP9\\u002f21CbwgzkBmGXXINFfeQ\\u002fe2503BzTnkyseDFIKSF\\u002fDBW67hc7\\u002f5PuKk68p4kXQT5MqYgOYFnXlioZQin3N5betefvr0m+SzmbE1uTJuWsO8lUknkku+1DGRUm5HEba0HqbRzWMZyoUKZdVNyoITTIqgb9682bDi4rhQ\\u002ffwEpkNp2Q8ZW86NzzthprsGLJuo2EfsFRnWNllauI1t53g88xLEfonubc8Te6UJYfClE1Xes3oxn\\u002fuNW4ljRazO3AZqsnK248GUdNqc6urnr3\\u002f4rAmijXUNSbed+jkrcOqak1n3l4mkA0I6o6wLkzeHMIqJ1VCGoxKBh8IlXuYwTK7pXnXxOrlTcRybLh1iLE0kkCkvfKKgNcFAz1CwLYmuOvnGoV7rZ+MXJpuDikK6tz1vKp0mYHyQFALPD5k\\u002fewp3f+aOCnPwUnSHuRiwpOTv\\u002fv5Fjp\\u002fqGXOIQwohJMFgz3nGRy4iUo0+RkA4rS0wweWhbyR\\u002ff\\u002fcKOlBghI+uNKbZxDg7\\u002fdgUxPNEItThQNIqKDmuVjFOoQE7UzBc0zNCJz6bomfHi3g9J5CWCxeY9kkbcNQXstzzmTupK2SJoovfnvliQClNLuvw8pbdPPfazsRkH+dBJnUHpWN76N\\u002f31sTXNVwghJBVz6Dq\\u002fQWiKBrzujS6\\u002ftKsbmxMtqBnR7+y+jS7fDrdcoKQ0F7DwR6qfQUhJHZd0zkEf8wG1LfrNconD5s4wgQ1\\u002fgzCiE\\u002feeT2L5k7D84JJqT67UGhtClW6ewf57s+TQp6z2KuEnWHg0DaKx3ZXtbq+DJAqnFFdj8wSo2iEFSgEYhSX7tJict8aKUdIg0iauejR70HqBJ3vVJRRMLOwo9JAUnqY3IokmObWt5zl0ETTSLJv3xYGj+5GOBPTu0wK04P9mqVzuOM9VyVjk648IYc0ym7zxHNvceSkSaWNHz8YfsOFkPTufh2v69jETVK9IOgx\\u002fjb8t6MIPJO9ZCZb0NXYt2Bck24ikWwc4WDv8JxoIuhOoSkNHJzmGIb1NnBoGwMHtk6oiakS4fj4HdeRcZ2zuiemYmpCTj9h0Boyrs2ho6d46sW3ybqnT\\u002fdpFVfdd1MjoFVM7\\u002faXiIp9k2vGV6x1wXhxAwFjbsh6kjrLpJhkFTEG6wDGThkJzAMeKlu\\u002fYAgpCYsDVQE3MxnFztUj7bHbEg8tNekQc2Q3fXvfTCa5Tsy60kYNN1y1kBWLZiYm+\\u002fjHVqYkEtd1sO3R\\u002fIPJhWHl\\u002feTXb9A3WDYNHcf6WBJpr5u1GLvQOFQhpo3FFHmDdO94IekPOEmvbZrnS0oIx7Q6SQRdD\\u002f+FuCjtb84ek02YGS5J2rzkjjVGQ0gMiWUiec06jom9gaoFJdzkusakT\\u002fJpgkWOS+nkfvp2vVpFnpiYZ5kK7ftvvtosahwZT4da5DIuGddhz4HjdPYMYI\\u002fXB\\u002f8SQ2szP2\\u002fvoZO8+vZesq4zfmxTKSwnR\\u002f2c5TQvuR4h7aFCIq1Ms46eU\\u002fTtfX3iRiafL1RcpXDGe+YjS+\\u002fEpPV0h0nX6HgVgU6C6VIKM2dtrE+rJMc9EYpTSlTgjZ61rRR2viGZ1DnG97RCOi7lU4fp3fFSspaJi4KnOfNrls5h\\u002fuwpYw5B1FpXOrtaUvDmjgP814d+yP\\u002f+65\\u002fj+YGph74MbHjjHQl+9dJWSl5aJjvGuqoKRgztuI3GxWuGZy20QtoZikf3mljIJPrrY9XJg7ky27bMCLGRvxN68BIsbVxMavWa0qJv5M8qgq7H3i+Vii78ASfpmyjyif2yCcSl+42UWNnC2Hu11gg7Q7nzaKVDzMQW2Jj4hOPYvGf1UlzHphh5yKr9WCnTXti2LXbtP8aPf\\u002fUab+08SKnkc9XSuUxtbaweJDBp0FqTcWwOHu3gta37kuGK41lI5n+5tpmkfQHrZi4mLvXTf3B7UjZsGo0IadG\\u002f903cuibciRzacbYQAq1jE2eoTg0DsdYUMu6wabFgWpgD\\u002fZdukaMxKYK+NplaIYTuSx++ccFN9ZrrJONwR0qbAB2efuLHWUMIVBgQh35Vys7MPLfdMerdk8qlcvcJurc9j45DzjS++NyXJAjCiGntTaxYNAvPDyprS9eTz7l09gzwgydf4blXd1L2Agr5DLZjvldfl6d\\u002fsDSmVrmUSFNqL23ZTe9Akbp87jQ968xYLbexLfF9zfyzhoWriEr9lDurIu4iaeCx82XaVr\\u002ffbAIXs7vMWNcWhTCiy0wykoZMxkniEGmqNmHIKTWpGn1yue7JLpe2eU6b4edzmYRGOBJGOMdr0HeuiP2yqVgbehhIx8XK5Ia3qkp8RK\\u002fnBN1bnzWDHU7nw58nBKYX+NVL5lCXz1ZaByulk06oDi+8vov\\u002f92vf4xfPbEFpbXqka5MqbGuuRys96bXnOimq6ekv8uaOAzinYcAZLkOMU9+c3Pe44peDpGnpjdh11VNrk1qCwR76dr9aOcalghCy0s5q+HlNK6+M61RNjE3eK62xbHtSNfqkbvtK656RjSUc26IuZwodRr6wIjHrmKA2UnF5cMjEFVQEWjrZoWCLNu2Eg75TdL\\u002f9LCrwJ9xcT5HGKK5ZNq9CAFRKmX7sZZ9vfPuX\\u002fK+\\u002f\\u002fjmnOnsp5DOVTUArjWNLprQ0EqtLO4ll7OvQWLbF3oMnOHK8G9c+Xd6cpB9bS2KiV0q+QMVY2QLNS24YCs5BJeNROnmA4pFdSNu5YBbiuaAi6CPeQQ1kM06SXhuKJZk6et15yRY4BiZV0C3ldkZRpEQibRqQliSfy477nTj0LrzsMknVxcHIFl6mOq5iJmqFdMwctu63nzXEGpm4FROMtEPqtLZmprU1EoYxWmvyuSy79x\\u002fnPz\\u002f4PZ588W1cx8Zxhvc414BlWbQ0118aDsKZoM08hRff3E2s1em3ZA3CsrHzDYzavJPuMtmWaTTMv3q4iZ6k3foPvG2GUl6i4JzWmjj0KtZF1VKJY0VDXQ43eT6JO2oWLOVRGBpDdqkxWaa7BrCssKQ1ndJEiXWqoQr5DM7ImeiJfxZ7JdNKaAI0uvJHCrrAyuQqPcuEk8HrOUXX288Q+Ukl2kWaaW\\u002f885BZ01pobawnimPy2QxPvfA2\\u002f\\u002fWhH3LoWCeFXDYhxYyOH1iWpL6QTe7Z5Kl0Y5VJunoGOHj0VKUj6vhfMA067HzD2ExEIVFRSP3sJeSmzElacSevrZTEoU\\u002fv3tdRUTSx9OixkFgZsVcaI9hpio0a6vJG0EdYqjoMj1\\u002fcxZ0ek6rRs9lsCaFPWJaV1KSbm9VUn8d1RkdphRAovzQBPrrZjaOgPMq\\u002fs1zjn0vbxes6boQ8KF98RlYSiJw1vY1s1gEE3\\u002frRs3zjO78kjKIkBz32JqMT\\u002fkE+a1okT24TFo3jOBw61smprj4TWD2d2Y5GWI6ZUDsuGcpcVNPiNdiFhiF\\u002fXWuk7RD0nGTg4FawLo5LNXK9UVAetU4Ti9PUF3I4VdcspRRRFHmWZY3KMF1KTIqgV+2GZeCUlWr0xPxpaqgjkzG0zxHxDpRSSUrswt5mrbQJ7MGQBSYE0nGQjovXdeSi++TVUEl8Yt7MdkpewMPf+SXf\\u002f+XLZNxkUslpz28m0FrWRNUBXAASk\\u002fbQ8U48PxrWUmmMDxtrxM1guZnT3GMTsLOydTQtvs7wHtLPJpTlwcM7LgEf3gx0jMtFY1UMMzg1tm3RUJerPr+yLAvghOotlGHImr3UmDSNvn79erlu3bpYII9K2waBFkCsNM2NBTIVTvQISdcxcXmQChXxfCBAxRFUuwDJoexcPaWTh+je+hwqDi6JkIPZwHLZDA11Of77oz\\u002fm6Vd3UJfPjkvOqFyKGIpyC8SlWOppYQYZRBw61oFtnyEzkbi5VibPGU20pLVUrnUW9fNWoKOq9JaQaKXo3fuGUQIT0NFnnCWg48CQrEb46Eopsq5DS2PdsDLrRNAPem7HuzLqrmfMmGEBKKX2SykRCJ02VWioy5PPuKNrXoTZUcNS\\u002fwXSIAU6DhLSA5gHZkg0Xtdxurc9h47jCU+hnckGsW3JX\\u002f\\u002fwGd7Ytr+SXjvrYxuq\\u002fqT3YZFJUPHoqR4s62w2Ho10c5W\\u002fnxZCoFRE\\u002fexlZFqmDpFlEq0e9nczcGjbhDXiHLlOhCQqDY5KrZk+CppcxqWtpcF0\\u002fzG\\u002fUpZlo5U+8MADD4Tr16+XkzU2edI0+rFjx1LSzD7f8wAsQGutsaRgWnvTOL3EYqJy\\u002fwW80ckc9ihCj5HCKx7fh47Dcx+XdAak\\u002ffDGg5SSwaLH3oMnyGbcsx+ImBg9KqUHTyK0NunBYtmjr7941lRcy81y1g1FlEJYNo0LVw9vn53468Wje\\u002fB7Tky8Ca8xgl4eqOoWnMLk0LMZl7bmBiqTgUFLKUGIAwCpcpsMTJqgr1y5UgMo2B8EgS+EkBWWnBDMnNZq\\u002fj7ie0JIIq9o\\u002fOvz8dNTIoOKGCuCbiyF0xUrnBvSWILnB9TX5ZCnefmFEKcnl4x3DsCM\\u002fplsmAEcvX1ForOe3GoYh2eNxIR3m9qpnzPShBfoOKJ\\u002f31tms57gqKQQgrDYZ1y+EYdW2ricucxQ4Y7W2g4CD0voAwBLliyZtEc0aYK+du1aBSCV2gMMJL5MhTQya2qr0VLVN1QbQYzKRWLfuyBfrFL3fJFsXSGMlg7CCD8Iuf3GlSyeO50gPP2M8nMV8sQsIopVheM+mQIvhGCg5KHioeaVCW1hTGiNIbyc00kkOgqpm710tAlvO3g9pxisEGkm6G4IgYpDotJoVzulb8+e3lLx3bXW2rIs4fmBF8EugKeeeurdNzZZCKGFENx3330nhOCIlJLUf1Ea2prrKeTcEX6qBmkRe4PE3uCoyOfZnzzxyi9SzjmdbFoseUxpaeCf3vtJ1qxYwBs7DiSR8YlFmtopef7Zm8AXAZokGJdMjUlhmmhY42ZKDD\\u002fhXE9mYioNiQlfCdxqQ7oaPLSTYKA7qUK88BsipOFwmCGcI2IASTZo7swpw9prm9gTPaqh4S2AjRs3vvsEHeBP\\u002f\\u002fRPJYDWvCKqSDNxFNPYUGBKa9NQM\\u002fxqaE0w0H3e5xXSNimSszYvzw5pc4hSOcBxbD7yvtWs\\u002f6N1zJ7eyqN\\u002f+yRhGCfzyydaEgUqVpTK4VA\\u002f8UlCWsUF5n4EQcTieTP42G1rTC+1Mb+UukvnciJjpmca26mbszxpVAEVZRCU6N\\u002f\\u002f1sTcibSYxi+bjM+IdmbGP88wvb25isErtFFe7Pn9T396oMKQmyRMqqCn42mEFC+m5qzpfBrR0lTH9CnNw+ZYDUES9HVxTuyQ1P+3XYpHdtK35\\u002fUJU+ZSCIQwAw6V1ty8Zgn\\u002fx\\u002f2f5P61HyBWiv\\u002f2yI\\u002fo6S8mQyMn5pzVEAJipegdKJoYwMSf4qyhMS2dK7dWwMfet4aVi2dXUoEjIa3zjFElwl4\\u002fa4mZeFtFpBG2Q7njCOWOI2a6zwTc+GCgGzUq4m5GYE1pbaCpvpDMoSfhhQiAV6Eyb3DSMKn16Cmkpd+KwnCI867NyzJnRhsvvrl7+EMy9iFhsdeQWc7mIWrTi1srRd+eVxk4tMNsHhdImUxNdM83s9yvWTaPj75vNcsWzsSxbXr6BvnLb\\u002f2CQ8c6yGfc00bdLwRCCMIwpq+\\u002faPq9T4BHcj6HSGq1yLimVNPzIxbMnsri+dPx\\u002fJBcLkO5HIzRSONCFmoKkRrmX0XXW7+uOpg5x8DB7WSbpw5NyT0fJEEGv\\u002ffEqLULAWEYM6W1keamuqE4iTYkpliJl2DyZq6lmFRBTwn+sR8fjGVw2HGcuUmRiwzDmAWzp47iDZP0UI\\u002f9MsFAJ9m2WadvPqBN26eo2E\\u002fvrlcodx5N2jGbY50rhBAVn7hY9sllXK5eOoc7brqKa5bNxbYksVIUyx4Pf\\u002fdJ3ti+n0I2MzQV9iLAaPSYnv7Bqi4u5\\u002fdeaW3Sj1ayiZ0rlNLU5bNYlkUYeabktpBFacW0tib2HjyBZQ3PLOg44rzdjQqRZgb5qfMYPLqnknYzufUOisf30TB3xflnaoQkDsoEg33J2K5qHrux6ObPmkLGsQmCCNBaCCHL5XLJIt4CQz0YJguTKugbN25UWmsphDjx0KOPvum67tzQaHYZxzEzp7XSUJ+np29weCMFIcw8874ucu2zx35FTFIXYdmUTx6id+9rxKXB8x5dnE5G8cOIWCnyGZf3XruM225YzrIFM7Esi7IXIKTRrt\\u002f49hO88OZuCrns2efEzxtGKDt7B8ap4z87pO2pwjCif7BMXX78KsKxl2G4Ai1NdQgB+VyGhXOnEUWKjOswb+YUduw9OqzbjBCgRlURnju0UtTNXY7XdYw4HGrYIaRF8ehu8lPmGGLOudZJaI20bLz+LlTgIUZ4u1opMhmHxfNmEESVEmGVyWQsz\\u002fe2FfL5felHL\\u002fgiLwCTbrpv2LBBAkooXojj+DdJ4gZKmyGBS+ZN55lXtuNkM8M0uxASv69j7F062c11HNK3900Gjuw03zmHdItI\\u002fG6tFXFinksBM6a2cs2yudy8ejGzp7cnJmqAF4Tksxl6+gZ5cPMTbNl5iEJu7AGCE46keq2nr8hAsTxUJnkOL7TWmnzW5eDRDv7mh8\\u002fQ3FjPfb995zm5G2karZDP0lDIU\\u002fJ85sxoIwhC8rkM82dNGfNbkTd4Yfa7SMZoFZqom7WE3r1vIuxE80qLqDTA4LE9NC5cPWYd+dnA7z2FCgNkFSdfAJHWtNQXmDWttUKUSVJrAFvWrVtXXr9+vS2EiM7\\u002fAi8cky7oJKwVKfml7\\u002ftKSim11lopJfJZl2XzZ\\u002fL0y9uHc1gSQQ76u4jKAzh1zSbqipnkImwLr\\u002fsEfXvfJOg7hbBMNdjIl0kM\\u002f4\\u002f5WcIyC8KIMIpwHZu6fJY1y+ezZsV8Vi6eTWtTHWEUE0QxQRghpaC+kGPn\\u002fmM89J1fcuR4F\\u002fnsyNTgxYMGbMuiu2+AgWKZKS2NprfeWbzQqZGfzbj86sVtbP7pc3T1DDBreht+GOLaI12n00MphevYzJrWyonOHprqC3h+SBBFzJnRSltLA\\u002f2DJWzL9AVECIKBHvPlCyG4JIG5\\u002fMxFlE4eIiz2VioOzXinfRSmzTdVcvHZt54S0pjtfvdJ5IgKRiEFYRCxaN508lm3MhddCCGDIEAonoEhcthkYtIFfePGjRqgp6fnjYbmliO2Zc0JQ+Nzh5Fi7qx2WprqKJa8EU33zDglr\\u002fMYTkMrxLriSw0e2UXx6B5UHCLs1FQffq+11hX2Vlo4orVOUiUOs6e1MmdGO8sWzmTZgpk0NxRwXJsgCBks+cl7IkzeVMOvX97GX\\u002f\\u002fwWQaLZXLjjAK+WDCVU5Ke3iL9g2WmtzcTRGert0zw7Ae\\u002ffIXv\\u002fOwFpBTUFXL09hc50dnLvBlTiM9h3ptpCukwb1Z7ZeKrEBCEMTOntjJjSjPdvQOmpTcAwkzL8UtIN3thmj1tGT17Kd3bXxz6uZTEXpHisb00LVqD5mw7L2sQFuFgn9k4xmg6ojUsWzgT17UJSzFCoIUQMorCklLRL2CIHDaZmHRBp5KJEP5Djz76c9d1fz8MQyWFsIIwYta0Vma0N7Nt7xGjBSrtWs3\\u002fvJ7j1MXLzQ6d7OqlU4eJAw\\u002fLzTJeH3jXscnnMiDAEpKG+jzT25uYN3MKs6a10tpcT2uTmYsXhhFRHBOUIpNKkyaynZYm7t5\\u002fnK\\u002f9zS8QUpwbT30CIYQgiCKOnOhi6fwZZyXkWmtyWZcfPfUqm3\\u002fyHBnXrSi6IIzYf\\u002fgki+dMJwijs1e2iZ8+d2Y7jp22fzLmmGVZXLNsHm\\u002fvOpQ8RRNYVYGH39dJYdq88w+YJefWcUhuyhwyx\\u002ffh956quGvCsimd2E9hxkKj1c\\u002fGhDc0TcqdR4ZYlEN5csIwpq2pnoWzpxIl\\u002frnWWruuKwLff\\u002f7+++8\\u002fnHx20jX6ZPd1B2DDhg0WgFDiZ3EcQ0p90BrHtrlm+TxgxF6amu8DPQT9XUjLARVj5+qZct0HyU+bN9RfrjrvmRzXdWzmz5rCh9+7ij\\u002f8wsf4V3\\u002fw23zpdz\\u002fER29bw9VJ22SlVMUcsyyJY1tIKZHCaHJTGgorFs\\u002fm3t++k1zWRU1Sz7Y0Jbn\\u002f8KmzIuSYsliX51\\u002ffybd\\u002f+gIZ10lfVJMyimJzLHP0s15HOmVm7ox2rlk2lzA290Nghg+uWjaXhrr80GYoBCqOCHpODh+Ndb5IilvqZi01Abn0XiSZmuLxvWdd3SaEMJtQbwcjNwVzPYpZ01qZNa012QwFApTrumilfwKwadOmSR2umOJy0OiQ+OmWxbNlzzuacd2ZJvqOjOKYq5fO4ftPZIjjkTMZTfTd7z5GpskEerSKsdwsrStvob+uiYEDW9EqqvhrKU1zoFjm1a372LbnCD9xXqeQyzKlrZEpLQ20tzTS1lJPIZch4zpkMw62bWNJURH0WCnCKKbsBxRLPhpNXSFLd88AljU5KVMBHDzWMXqa5wiopC3xgaOdPP79ZwyZTIiKL641uLbF3sMn6ezpp7E+n2isszffsxmXbMatiq6b8tWprY1cs2wuv355WxKsNByHcvdx6v3yaa2ws7sJZuPIts\\u002fEbWzD7+swJndSfVY6eYjC9EXY2QKnbUmWpGWDk8cIB3tHUWlNjYFm9Yr5Q7RXrbWU0ioWi55w9dPnfxETj8tC0KvSbMcffuSxFyzL+q0gCLR5ORRTWhpZMn8Gr2\\u002fbN3yuttZIy6F06jB1s5ZVONOpWdYw\\u002fxrcxjb6976B39dlihwS5lTCQ8YLQkpeQE\\u002f\\u002fIIdPdFZ8da0hm3XIZ7Pksy6ua2NJiW1ZSCmIY4UfhhRLPj19g6bdU8ZNqtMm4y5qpCXp7S9yrKOHWdNaxxzkkJaShmHM3\\u002fzwaXoHisk9VVWf0biuzbGT3Rw61sGalQsMFflcVjPGTVCY+37rdct45a09qFgnnCVTvxD0dZCbOhfOsFGdxckRlk1h9lL8vo5KOkBYJgJf7jhEw7yr0OHpp+VqFVM6dQhTrTYk6CLhtjfU5Vm5eDZRNFR\\u002f7rquVfbKW+sy+TcSl3TS\\u002fXO4TEx3gM2bNwtACMR3kxskAJQyTRKvWjxn7H7lQhCVBvG6T5joelWhiukgOp22VXfSMGc5YMgVkPjzJLPebAvXcci4DrmMSz6XSdopC4olj5NdvRw61sG+wyfZuf8Y2\\u002fceYffB4xw+3kXfQBHHsSnksmet8S4GtAbHsugfKLHv8EncccpdU7\\u002f8l8+\\u002fzdu7Do8S8qEPGq311o6DxpyfgDVKIfD8gKULZrJ84Sz8MDTPNPF9S6cOTQwrOYnV5FpnDJ\\u002fmokFYFqXj+4n90f0Ch8GyCIv9eF0nEHJ4WlYIgeeHrFg0iyktDdXWTvqfv123bl2wefPmy6C3l8FlI+hJZFJHOf\\u002fvA98\\u002fkabZhJR4QcCaFfNpa64fXeSS5LpLpw6NntiRsKaE7dC45DraVt1BpmU6WsXDBb6ixc1MM6V0xWowvrmN6zhkXYdcxiGXdcm6Dq5jYyUDIc8lBXXRICCKY\\u002fYdOkkYjtaKaWzi6Ilufvb06zjO2MMsIUnZScm2vUcolvwJm82ecuFvvW7Z0MatDbEl6OsgHOiZmEacCd+9btr8ihUHZtCFEeBjCHuc82iNlDblU4dQkQcjJtmmY7PWrJhvWm8PuSciCIIQpb4Dk9faeSxcNoIuhNBaa\\u002fnFdV\\u002fs0Ogf5HI5gFhgGka2tzRw9dK5psil+osJc8nvPk7Q3zm6LDF5yDoKyTRNoW3V7bRe9V4yzVPRKkoEfnyM2gTSjaDq55cLtDJTWPceOkF\\u002fsZRMpa36vTYb18+feYPOnn4TFR9v\\u002fVrjOBYnO\\u002ft4c8cBspnxu9CeC4QQhFHE0gUzmTurHS9IKu6kaShS7j7BhLRtTjb5bPtsnELT0GRWIdBoSicPwlj59CTSHvslyp1HR9VDVGINbY1cvWSuIVJJgdY6zmazQiv91IED8\\u002fZojfizSSxLHYnLRtChYr6DlH9bLntKCGHaS2H+e9OqxThjTVpN0irF4\\u002ftBi7H9ruQzaE1u6lxaV91O2+o7yU+bx2ViXV0wNODYkhMdvZw41TusK6wZYWyz\\u002f\\u002fBJXnhj9xlz\\u002fWnQMopjXt6yB98\\u002ffcOMs0UafW9uKLBmxfxhG42QFuWOQ6j4AlJs1dBmll5++rwk8MaQYug9RdDfPYb1YAg25a6jST37CJIMJiNx\\u002fVULqa\\u002fLVpiDaSGLRnx348Y7ow0bnrQup7fqshL0devWxVprMaWr5ZdxHG9zHAdAS2GGDy6YPZUl82fg+UGl9htI2E825c4jhKXe8Tu3Ji+PDgMEkG+fQ7Zl+qjJmFcyBEY439i+fxjBKNXmT720lYFSefj9GwdpH7Rtuw9z6ETXaU39c1pj0nnnhqsXUcglwpIw2MLBXoL+nonpvitA65hc60zsbN1QU0chUFFo8uOjvmMsgeKR3cZFHGYcmiBsY32eG69ZNKwJpG3blu\\u002f7JxrJbwbYuPGOSZ2HPhKXlaAnEB\\u002f\\u002f8sd9ofU3bMcROnmzYqXJ5TLccu3SZPcc8a0kT1o6thdjCJzuDAKERdDfRd\\u002feN8+H+nxZQwjYse8YgyXPlNIm2vzI8W5e27qfjHP2dfFSCMpByDOvbD\\u002fz1JWzXR8QxYppbY0sXTCjkoNOg2jlziMX2OW36kxxjF1oJNsybajRiAYpLcodR1BBlQ+u0zr2w0abj2DCCQFeGLJq2TzmTG\\u002fH9yslqdpxHNBq02\\u002fd81td69evlzD5JJlqXHaCnk5aFUJ\\u002fxyuXT1nG\\u002flRSCnw\\u002f5NqVC5g9fYzUUWKSFU8cICj2GF993NfSlGL2H9xG7BUvWe\\u002f2SwHTtsnh2Mku9h8+mfjWGktKXnhjJ739g8m0z7O7Xo3GtW1e3rKbA0c7yIwqGz7PdSqF6zpct3KhIZ2lj1II\\u002fJ6TxH7JlIReKJLUWn7aPONvp3RoKYnLJlsjrWRIoxDoMKB4bI\\u002f5zAgFoBRkXZf3Xrs0bYsAGMqr7\\u002fuRwHkMJr\\u002f2fCxcdoK+ceNGtWnTJuuee+45pJX+QSaTESSEmjhW1NfluPW6FRXK4TAkdMri0T1J3nOMEyTMqVLHYUon9l+y4XyXElJKimWfHfuOVhhzvQMlXtqyB9uuohGfBbQ2c857+0s89cLbxk+fELVucvmL509nSmsjQRAhoDISORicIPM9ma7i1DXj1rcMN99VjN9zAq3MBAFh2ZQ7j5qhjdbw90JKgR8ErFg0i6ULZpjUoHkB42w2K+IofmLOnOlvpINJLnDRE47LTtBhKC2hJP\\u002fT87wwCcoZamYQccM1C5k+tWXI5EuRViqdOEDY3zl2mkZKIs+jf\\u002f\\u002fbMBGtWC5DpIG3V9\\u002feT\\u002f9Aibp8hrd3HeRkV58JZp6j7JjRzS7Pv7GLfYdOks2ce0vqkUjjLtPampg7o504rpq6qhV+90kmLEiqFZabJdc+k8p45YRA4\\u002feeJPaKSOmgAo+BQ9vHjNcoZeoa7rzpKtOSW1WCnFYURUhbfuXOO++MLkdtDpepoCdMOXH\\u002fXXe9ppT6YSaTEVrr2KRmYtpbGrj9hvG1ehx6DBzaMfrAycMdPLSdKI2ovkMi7tVIi22Od3SzY\\u002f8xNPDatgNEUVxpoHGusISgVAr43hMvE8d67DjJOSJRrFyzdC6iQiMFhMRPue8TESQVmAYRLdORTrbiqwthEZUHjT\\u002fuOAwe20Mw0DVKQUghCIKQ5QtmctWS2ZSrUmqZTEaEYfRiznV\\u002fAiagfOELnnhcloIOkLCKsARfieM4lEmPJCnBDyJuvW4ZM6e1EoQjhF2bGeeljkOUu5K2UaYOFWE7+N0nGTy6OzHZJ+faLgXMGGYTfe\\u002fs6WfH3iPGXz9P6VRak806vLF9P8+\\u002fsZNs1r0wTjpmQ4pixeJ500zVn1aQjj7yikSDfRM0Ry1pTFHXjF1opDK1NWHk+T2niMqDDB7elfDiR5SiApZt8eFbVw2blApJS2cdf2XdunXx5VLAMhYuW0FPUm1y9uzZv\\u002fYD\\u002f8lMJiO11goEURTR3FTH+2+6avwCDq0ZPLDNVLBVpVT69m1JepRV1Ry+A5Gy4HYfOM4vntuCH4QTooUtKfneE69wqqs\\u002fodme\\u002f7Fc1yGOFQ31eebMaKu0wxZSokLPaNe0IOVCoU1JbK5tRhJ4o3LcYKCLvj2voYLyqGi\\u002flKa776pl81i5ZA5e5T7qOJPJyGKxtNX3\\u002fe9qrcXlUHc+Hi5bQQdDoLnzzjsjIdV\\u002fCIJQk6xXJJzpW65bxoLZU0wgZ6Svbtn4facoHt2NkDbCsike3Y3fe9JQH9\\u002fBQg5JEM2S9PQN8svn354QsotO2XIdvWz60bOmMuG8DwaHjnUSRRFtTfXMnNo6jN6sY0VQ7JvwQGmmcUqVaZ40kBzspXTy0JgxHaU0uazDR9+3GktaFd8cEFJKYdnyPz7wwAOlzZs3T9oAxbPBZS3o69atU+vXr5f33XXfU1EU\\u002fjifz1d89Tg2Q+c\\u002fcce1Y39Za5A2\\u002fYe2EZX6iUr9DBzchhzDNHsnI41rTBRV17z4Li++uYsnnttC7jz64imlyOddXnxzN3\\u002f+9e9zrKOHBXOmmOEWad8ZaREX+4YssguFMOa7na\\u002fDLjSNaic1VkGSlJKyH\\u002fDe65axdMFMvCAYRncte95Lfa2tmy93bQ6XuaADOo1i2lL8e9\\u002f3A8sUe2spBZ4XcO1VC1mzfB5lLxjF9jL9vjz69m2hb88bxKE\\u002fMbnZKwwTHQZO3YLv\\u002fvxF3t59MKHTnv1GkpYfr14+j90HjvPv\\u002fud3ONHRS1NDoVLyKaQkKvUTR\\u002f7EzTtXCiuTx61vPmN8IeXktzU18JFbV1dlBZLaU6WE1Oo\\u002fffnjH\\u002fcvd20Ol7+gV3z1u++++7koiv4qm80mvrohc0gp+cSd15HPuaMbUyT16l7nEdPP3Xrn5cwnC1JK\\u002fCDk4W8\\u002fyanOPjLu2RNpUitj7ow2Fs6dSmfPAL94ZgthFKcaE4Qg9j3TWmqCtyq3vjUpfjrdGs1gho\\u002fetprpU4ZSuVqjMpmsDHz\\u002fl3fffc\\u002ffaq3F5Rppr8ZlL+hg2HJaa4GK\\u002f73ned2O4whAiaRt0aJ5M3j\\u002fe642lVBjcbiFSCZ11IR8omCaQNqc6Ozloe\\u002f+krIfYJ\\u002flPHRIcvMZlyXzZqC1QkhGuADGjI9LA5Va8gtGYr479S3J+zC2VjfjtUy9+R03rayurdBSShGGQWS5zr8SAp1mhy53XBGL3Lhxo9q8ebO8\\u002f\\u002f77d6so\\u002fu+O48iUAy+AMAz5+B3XsmD2VFNlNaZPVxPyiUasNLlshrd2HeKR7zwFYqgr7pmQjixaOHvaabIBmsgrTuiatVLYhXqsTG5oAuuotSmyGYdPf\\u002fjGpNlnhRyjcrmcjFT89bs\\u002f97kX169fL3\\u002f3d3\\u002f3stfmcIUIOpjAXNKH4j+XSsW3M5mMRaLVo8hQY3\\u002f7w+\\u002fBsid3yOC7DUopCrkMz72+k2\\u002f96Fkc24azUMDmuUXMmNpCa1N9pQnn0AcADXHgMWGmu1YmG9PTQex7Y\\u002fr+UkrKXsiH3reKFQtnVcd+lG3bslQun8ra9r\\u002fRWosNGzboiQpyXmxcMYIOxky6++67i9K2\\u002f0Vstlmtta4E5lYtn8vtN66kWPbPqgyzhomBUmaqzs+efp2\\u002f+\\u002fuXyGXOHAtJ\\u002ffSpbY3DgnBVnzDHDsoTU0GsNcJyiEr99O582fQmGHFgKU3adsn8GXz8tmvxg6hisicVaoJY\\u002fT+f+9znjm3YsEFc7gG4alxJgl4JzN3z+c\\u002f\\u002fOAzCb+bzeUtXhU\\u002fDKObTH7iRBbOnnMaEr+FiQGlTu\\u002f69J17iZ0+\\u002fMbyJ53jfSVJ1U9oah\\u002fv2WieTd3TSsvsCYTpiouOQnh0vEXuDoxtKCFM0lcu6fPY33ks+OxTcTUx2yyt7P73nnru+tn79erlhw4YrRsjhChP0BGbgQz77z8vl8gHXdc3stsSEb6jP8flP3UYm4xKriWlqWMPZQQiBY9v8zY+e5Vcvb6WQP8NYKmF89ZntzZWWyVorrEyOTNNUtFKoMKgmqZzvwkAIeve8jtdzYsyKRYEpsvn0B29k6fyZlJMAnDAmuwh8f0Cg\\u002flmqxa8kbQ5XoKALIfTmzZvlfevWndDo\\u002f1MYKJLcetkLWLFwFp\\u002f8wPX4gZluWsOlQTpyWSB47O9+zatv7yOfG39yjQC00rS3Nlb55yYy3rzkOlquei+WmzNm9vnyH5Iah4H9Wyke3T1U+1AFKSUlz+emVUv44HtXUfaCyvReZSavyCiO\\u002fuyee+7ZrrWWGy+jXnBniytO0MGY8Js2bbLuveuub3u+93A2m7V18jZJKSmVAz5y6ypuXLWYUnk0kaaGi4d0DlwYRXzj279kz4ETpx1TpYG25oaKuyySTkGRV6Ju9jKalt5gPnU+QS9thjAUj+5m4MBbo2rMYcgvnztjCp\\u002f75K1QVa2vtY7z+bxVKpZ+dt899\\u002fyXtWvXWleaJk9xRQo6VGrWhWtZXy6XvW2ZbNbSQx0AkULwhU\\u002fdztyZ7cnI45qwXyooZZhzA0WPv\\u002fzW33Oqq2\\u002fYTPRqaG0CeXbSNjthnxGVB9BhkAzdOI\\u002fXVGuknaF88hC9u141jUhGhvuS5peFXIZ7fvt2mhoLSeci45c7jiOCwD9mSf6hEEKtWLEiaU9z5eGKFfSNGzeq9evXi7vuuqtfOtY\\u002fiKPYr\\u002fSCF4Igimmqz3Pfb99JfT47On1Tw0WFUpqs63DsVDcPf+dJgiAas+ec1uDYFrmsW7URCEOUST9wrtAK6biUu47Qs+NFQ3cVI6oVhdHdcaz57CdvNU1HvaBS\\u002fCOl1FJKGYThH9999937N23aZF2JJnuKK1bQYajt1N2f\\u002fexzYRz+q0wmI4QQMaRTQUIWzZ3G537ztkof9houHWKlyOcyvL37EN\\u002f+2QumjdWIwJpOJqoO6zEvBGG5H0YMyDwraI1wMnjdx+ne9rwZnT0GK1JiUrK\\u002f+YHrue36FYmLVxGHKJfLWWWv\\u002fP998d57N23atMm6Emiup8MVLehgJrxs2rTJuv+ee\\u002f5LuVz+Zi6Xs7UZvoaUgpJnqo9+56M3448sZ63hokMpTS7j8otnt\\u002fDim7vJ50an3aQUScPKoZ\\u002fFXunctXnik3tdx+h++1lUFIzZd05KyWDJ57YbVvCpD96YDJFI8vZKxdls1i6Vik9Fvv9\\u002faa3l5V6Zdja44gVdCKHXrl2r1q9fL1H1f1T2yq9nszlLK1XR7GXP5xN3XMtHb1tDyauRaS45hMCSgu\\u002f89AVOdvaO6g9fGWlV1QlWxaFhxZ3txpx0FvI6jtC99TnicGwht6SkWPK47uoFfP5TtxPHqrIWrbXKZDJW4PuHJdz\\u002fwAMPlDZs2HDFpdLGwhUv6GCEfdu2beK++z7TK5T6fBiFJx3XHUam8YOIdR+7mVuvW17pd17DpUHasOJ4Rw8\\u002feOJlU\\u002fyS\\u002fE5gtH4UxZVZbAKBjmNiv8ywGefjn8BE108doHvbc0aTjxzNRWrh+SxfOJMv\\u002fs4HcB0LpVSlN7tlWUJrXdYqvuud4JdX4x0h6ACbN2+OkzbR2+Mg+LyQsmgbv09XxuVozT2fuYP3XLM4GRxYE\\u002fZLBaUNC+6FN3exbe8RcmmxiBAopSh7QRrtrgxyiIMzTDxNtgtpOwwe2kHP1ufRcWwGeIxhrpe9kHmzpvDAZz9MXSFX6WhjaNRSWZYlfD\\u002f8o3vuuedX7wS\\u002fvBrvGEGHofz6fffd94Tve\\u002f9EGqhU2GOlsG2LL677INdfvZBiya8QI2q4yNDGjfKDiJ8+\\u002fQZBGKbMM0qejx9GQxtvlaCPO3BRa4SwEFLSt+9Nene\\u002fmjDgxitU8Zk7o41\\u002f9PmP0tJUT1Dllwsh4kwmYwWBv\\u002fGL9939YCLk7whNnuId95anwn7\\u002fPfd8I\\u002fD8f+26rpVMajXCHse4rs3vr\\u002f0Aq1fMY7DkYdU0+yVByod\\u002fe+dBdh84YTqqIjjZ0Zf4ycPZcSrwR6fFoNITMI4Curc+R\\u002f++t5LIOqM+a9iSPvNnTeEP7\\u002foYU1sbk4GRlWce5fN52\\u002fO8r913zz0bkgEMavRJr2y84wQdYO26terJJ5+077vvnn\\u002fnl72\\u002fyOVyMk27iWRCSDbr8ge\\u002f92FuuGYRgzUz\\u002fpIhnbv29CvbTcdXASc6e0akPo3QqzAwHVsrG0DS0NF2CAd66HzjSYonDyJsd8xzpSzJhXOm8YdfMEJePaBTa22EvOxt3r93zx9oratP9I7CO1LQBULfeeed8fr16+W99979J6VS6ev5fN4GIjC7fBTFZDMuX\\u002fq9D\\u002fG+G5Ybnz158Wq4eNCY4RLb9hzm4LFOMhmHQ8c7UUoPv\\u002fdCoKIAlY5Q0qbfu7AcSicO0PnmU4SDPYY5N4ZcSiEoljxWLpnNH939cdpaGpJZ5uaV11pHhULBLpaKP8xmnHs2btyowXAzLsV9uNR4Rwp6Ap00BhD33XP3PyiVSw\\u002fmczk7pckKIQjjGNuS3P87H+BDt66i6PnJwL+atF8spEy4zp4B9h46Tv9AmWMnewxrrpq4JgQ6CiCOMW2ZHXQU0rvjJbq3PW+aRo7Rnlkk3y2WfW5es5R\\u002f\\u002fIWP0ViXxx+hyevq6uyy5\\u002f3cgt9bt25dOSnIecdp8hT2ZC\\u002fgYiLxzcX69evljzKZBz5eHLQLdfX3lEqlSGttSSFEHCuEFHzhU7fR3FDg737xEgKBbctz6mxaw9nDlIcL9hw8wdTWJjq6+0fPXheCODS16MJ28buO0bvnDYL+rkSLi9FCLgRKacIg4CPvW83vfvwWhBQEUTRKk5fL5Z\\u002fnXOe31637fHHTpk1W6tq9U\\u002fGOFnSoCDsY++7+Rx591M\\u002fm8l8ql8tpgE5oBaGK+NSHbqCtpYHHv\\u002fdrBkveaauuajh\\u002fpO2id+47RhBExo3KOkMba9INUMcRKvQZPLiNwcPb0cpw2NPhC9WQUhKEEZYU\\u002fN5v3MrHbl+DH0SoWFWi66mQl8rlH\\u002fR1d33hy1\\u002f+8uDlOv10ovGusVHTQIsQQj\\u002f8yGP\\u002fKZPN\\u002fPMgCFSyCUgzns1UUm3be4SHvvNLjp3sIZ9z0epcBg3XcLZI918zuGH0L6XtIJ0sYbHXjGaSo7U4DI1Nam2q5+7P3M61KxdQ9hJrwETttdaoQqFgeV55017XvWvjunXB2rVrrc2bN7\\u002fjhRze2T76MKT+1\\u002fr16+W999z1LzzP\\u002f1PLsmRS8aaEMC9MseyxbMEM\\u002fvk\\u002f+BTXXbWAUtlHQ63M9SLANH4ZQ8iTX6o4JCz1m44wRl5HfMQ8k2LZZ9nCWfzJ7\\u002f8m165cSMkLTAOMhAwjhNT5fN4qDha\\u002fkU2EfP369fLdIuTwLtLoKbTWYvPmzXLdunXxQw89+nkn6\\u002fxvtKiLwiBCCBvSemoLpTU\\u002f+uWr\\u002fODJV1FK4bpOzZS\\u002f5Bh7GKaUkjCM0FrzoVtX8ekP30TWsfGCqMKL0FqrZDNHqfjP7v7CF9YnP7+iGjtOBN7xPvpIJA9YrV27ybrvvnWPP\\u002fzwwx2W7TyWyWaneOVyLKS0pDT17FIIPvORm5g3eyrf+tGzHDnRSS6bMfzsWsnrJcJoLS4EFEseU1sb+d3fuJUbr1lIEEb4w4U8dl3XCsMwCKPwD754770PrddaYopU3nW79btOo1fjySeftO+8887o4YcfXiks65FsNndduVyOtdZSJHah0pp8xqVnoMh3f\\u002f4iT7+0DYCMaxPXovKXFFIaslOsFDdes4jf+vB7mDm1hZLnA0McCK11nMvlrDCKD\\u002fiBd\\u002f\\u002fv33vvk+8mf3wsvKsFHSAtXvj6179en8nnv+I67t2e52mllBJCWGBMedu2sC3Ji2\\u002fs5rt\\u002f\\u002fyLHTnWTy7hIKWppuIsMKQRKazw\\u002foL2lgU996EZuvW45AMFQ73W01koKQTaXk17Ze6IY+l\\u002f6R1\\u002f84r53WoHK+eBdL+gAiQZXAA8\\u002f\\u002fOifCEv+W8dxMp7nxVIaEnWa481lXbp7B\\u002fnxr17jVy9uwwsCchk3aVVcE\\u002fiJhEjmr5f9EMe2uHnNEj75\\u002fhuY3t5IaVhU3Whxx7YtISVhGP5FX0\\u002f3\\u002f\\u002f3lL3\\u002fZrwm5QU3QEyQjdsTGjRvVg488crstrf+dy+WWFYslDZqKKa80jm1hOxbbdh\\u002fm737xEjv2HkVKScaxawI\\u002fAUij8UEYE8UxS+fP4JN3Xs81y+ailCII42otrgXoXD4vgyA4GsXRn9x3991\\u002fAybD8k6ltJ4raoI+AqkGeOSRR1ql7f4HIfgHAEEQxEIIKQwDB60hl3Xw\\u002fJAX3tjFz595k8PHu3Ady\\u002fRG0zWBP1ekgbYoUvhBwLT2Fj7yvlXcev1ychkXzx+txS3LslzXJQiD7xeD4Mv\\u002f8L77DmitpTC7c+0BJKgJ+hioDtw89Oijv21b9n92M+68cqmMybmbImmlNZYQZDIOfQNlfvXSVp54\\u002fi26evpxbLtC66zJ++lhNLgkimKCMKSlqZ7brl\\u002fO7TeuZEprI14QEMd6uBYXQmdzORkGQW+k4j+97667\\u002fj8Y2qgn9YIuQ9QEfRysX79erly5UiSBuhlONvtvBfJu27Ys3\\u002fdjQKbJWK3M0ALXsTnZ2cfTr2zj+dd2caKzF9exsW0LIagF7UYgJSFFcYwXRLQ21XHzmqXcedNKZkxtIQgjwjCuaPqEy6wcx7FMHj38QRT4\\u002f9cXv\\u002fjFbevXr5fwzq0+u1DUBP0MqNYQ33jk8Y\\u002fYtviPGTezOgh8oiiKE+0uUlPdcayKwD\\u002f32k6efXU7J7tMY4Vsxq3QP96tZr2RbfPa+UGIUpr2lgZuuXYp71m9mDnT2wgjRZAMUkjMdK21VlJKK5vL4ZfLh2Ot\\u002fvS+u+9+GGpa\\u002fGxQE\\u002fSzQLV2\\u002f\\u002fM\\u002f\\u002f\\u002fPClGnT\\u002fpkU8o8y2Wx7uVxGKRWnqTgj8ArHcXBsSW9\\u002fkde27uP513ez5+AxwkjhOBaOZcG7SMtLIUBAFMWEUYwUkvmzp3DtygXcvGYJ7S2NxHGctOQe7ocLIWQ2mxNh4HtxHD2olfq3991334nqAOokX95lj5qgnwOqNceDDz6+wMnwfwshPu84TqZcLmtAkZr02hTCWFKSzTiUSj67Dhzn2dd2sHP\\u002fUbp6BhECMq5TSSO9kzS9keuEx661qSTTiqaGAkvnz+CWa5exZP50GusKeEFoJukwXIMLIUQmk5VRFKK0\\u002fj5x9G\\u002fuueeeV6Cmxc8VNUE\\u002fd4hNmzZVShsfe+yv36eF+hMhxG86joPneelLmjYxQymNZQlcxzCOT3T2sWXHAbbsOMiuA8fw\\u002fBAAxzb+PEnH2itN5JPyQNLefEEYAQLXsVg4ZxrXLJvLNUvnMmtaa9LSKzICLuVQsyjToltks1mhtCaO4qciFf2X+++++wfJ7yWg321c9QtFTdDPEyODP1976KGPOtL6E2lZH3BdF8\\u002fzSLrZJBo+GT8E2JZFJuNQLPmc6Oxm2+4jvL3rMIePd9LdN4hlSWzbwpKyugrrstP2aZAMzGamlCKMFHEc09iQZ8aUZpYtmMU1y+Yxe1oLdfmcCbBFEWkryLTCDDPj3spkMiitCYPgGW3Jvziwa9ePN27cGKxfv15ueJfy1CcCNUG\\u002fQIw0IR955JEPYln\\u002fBM3Hc7mc5fuVoJ0gebdTobUsiW3Z\\u002f\\u002f\\u002f27uc3jiKLA\\u002fj3VXVPT88kNoljQjBJWAECZMEFhNBymSAEB6Tdy072kLUt58C\\u002f0e2\\u002fgSMrecFGQmMJARckOMTaPazQSisOWEL8jBIgOE5iO4490z+qHofq7mmMNxJanDjofaSxZiS7PJ7266pX1f0KWhOy3ODyD9fxzeVVfHHxe3x18UdsbveRphmMtW65ztNuiYl33+qxf0t49cmz6hkNN10oa6MHDQ+HWiEeOXUcjz8ygT9MjOPUxDjCoIE8t8iNgTGmOnGhylSYtdY6CAIkSWIZWLbWvD47Pf3e\\u002f\\u002fqMxa8ngf7boCiKKI7jakg5v7j4AlmcB+HPrTAcy7IMWZYBzLnbYQBlMlr1bkHDh9YKSZqhP0hx6Ydr+PrSj7h05TpW19Zx9cYmdvruXmtFBFKAIgVS7rUaBtFwl+9fnBT2ePPVF1S7pZTbJFlmsOVqk8rydbPZwPGxUYwfHcFDDxzDYw+fwOkHj6HdChAUt\\u002fMmaT4s+ki1lhkGgPYbDfJ9H4N+f4stf0BQb8zMnPsnirccRazm5uie3ar4IJFA\\u002f43t7n3eeOutR5uk\\u002f2rY\\u002fI1IPRG2Wujv7ICZy40lCEUBEOvG91CKio0H3VV2eW6wvnkLG1vbuHpjC99fuYYra+tYvbaJ7X6CJM2QZDnSNKt62DLo3XMMA61W0LicKGO4HroKZHaX+fq+h2bDR9Dw0fA9HB8bxUMnxjBx\\u002fCjGx0ZxdPQQjoy00fA9ZLm7XNUN4d0+arViHdXfqpRSYRgiSRJkWf6VUuptm+Od2dlzn+\\u002f6DH93tdXvJgn0fVJfkgMA7vX0m0nyqoL6i7HmT81mc9RNSGUwxuRFqavq9lgAVV5ONAz68sIbZoaxjJtbO7hx8xY2t3awcXMbt7YH2O4PsN1P0B+kSNMcaTHpZayFMS7F1UoVqYOG72s0gwaagY9WM8ChVhOH200cboe4b7SNoyOH0G414ftu3kApArNbKsuNqd5jvXpuLe9mrbXn+z4YQL\\u002ff3\\u002fC0ej83+JBs9v7s7OwAcMG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BVVTMQTgmHw3VPPPFE5bBhw+p4n8iyHC\\u002fhjUa7wLnnnltWVlZWTtEJsMN9E3d9\\u002f9tvv90wevRoFxipE6jz3JinAXgQeiIOoO3ttCaOMxjVvBsBtCCxFI+oqIMGDXKtWLGihoi8bFDGG5eOGSQgfPMzzzyzf+jQoY1AYpVeEISIW85qtTr+9re\\u002f7SYiB1Hbrri2YFjra6FQyP3HP\\u002f6xMS0tLYDE0t1oP\\u002fkUwEjDMzZxHIMPAAuAR9CGy8wgxcM\\u002f+clPapxOp8M4EI8TxPjE\\u002fX6\\u002f\\u002fe9\\u002f\\u002f\\u002fuBAQMGNCEqZQ9bv\\u002fP+nDhxYuXOnTvLSbcBdHpiNNoQ9uzZ4zjnnHOcYJpFO8a6WkQNdWaa6+MUnOQnAPgQiV1mkUE0dOjQ5rVr19aSHoDSIavysQjmD+f\\u002fhpxOZ\\u002f3tt99+SJIkJxJL98hEKYpi06OPPrqPiJqJOj9JxlnpfY8++mh9WlqaH7GTcaLJ+j5ESW6u248TGF1ns6AnODxMihukUei6666r9Xg8jXyw9UdDW08jznDn37dvX\\u002fW8efOqwKzk8cQzrN2D8+bN219fX19NRFpnVXmimAkivGPHjubp06c3I85IisNV+VcQ3YZrkv04AH\\u002fIFyMawppQVU9LS3OvWrWqglh8d4JwThNRshIRuV577bVDJSUlDWDEi1+786jB\\u002fPz8xo0bN+4lZsikTpI9Trq77777bgdYOG07qvx\\u002foafrAsx1+zELo2X9V4g+\\u002fHjfOAGg0aNH1+3YsaOBiJT+6i7rTRjIrnm9XvvSpUsPggUZJZDu\\u002fO\\u002fWBx98cB+xmP+u2DuM0n3NmjUN2dnZnkTXNDzvnQAmsHFgWuSPMRgNMfcj6oaJkJwlfSAA6jXXXFPn9\\u002fubujr4jmcY19Dr16+vGDx4cB0SWMgFQeBejODChQsPBYPBGqKOBdjEw2A30CoqKhzTpk1rBfPtx1nluQuuHnrePsAk+zEDI8kfxeFrN+N63Pv444\\u002fXElPVTZJ3Dcb1u9vtrr3yyisja3ejZd6oyo8dO7aypqamkqjr\\u002fc5\\u002f5\\u002ff73ddee20jANUwgcdLdieA89i4MNX4fg5jeuR\\u002fIYFlnat4KSkprnfeeaeKiMKmqt4zMBDWu3LlyoMpKSkuJFCrZVnWAFB2dnbd5s2bK4hI7WrwkeGagb\\u002f+9a\\u002f1AJQE8fKc7F4Al7KxYkr2fgpjUcIX0Q7JhwwZ4iotLa2KGygmegZ884xaVlZWO27cuDokIDuX9Far1fnWW28dJObGpC6Q3TBJB15++eUGSZISGen4ss0PfY87YJK934G70IySnOcwjyH5hAkTmuvr6+1EJsmPFoy+d0VRmq699tpyAOF4qzz7nwAE\\u002fvGPf5QRkbczcfLx12RagbJu3brm9PT0RP52TvYgdC8MYKrx\\u002fQZG6zpfk8e4z\\u002fi6cMaMGY0+n89JlFyuM04MlmWm3YNvAunuYTyf8Zw9GRRkMLS1Llu2LJLeKn7dziRv8IEHHthNbC9\\u002fV5dS3Ej35ZdfOnNzc93x10OU7C4A57BxY5I9yWEMhuHW9UQ+cm3mzJkNbre7xTAYkgJdIJZK+h7w7hzBw85qAMs82yOM51tSiUh5\\u002f\\u002f33q9LT05sRG1BjjKZTfve735USUSuPd+\\u002fKNfkkvm3btuaCgoIWtC3ZHdBLZAHHGNmPtdhfGTqxfwngccTlUZckCaqq0jnnnNO4fv36FEmSBqiqGik11NcgIgiCgGAw2Proo486Pvjgg6FE1G7jiIhUVU1UZrlTkGXZkp2d7R05cqRj7Nix3vHjx2eUlJQUlpSUBKAn3xB5xlaeybYbIFVVBUmSaMeOHZXz589PraurK5AkiVRV5WOSJEkSVFUN33PPPfsffvjhIawdhC6MW0VRIMsydu3a5TznnHNEu92eFXc9FTq5q6G73srY\\u002f23VpTfRR+CEuBT6ejzGhcYkhjZ37ly73+\\u002fn6mD3RVTPQWPJF1rmzJlTGd\\u002f+Xjp4bIECQLVYLO65c+eW\\u002f\\u002f3vf2+qrq6uIsN+e+qB7bihUIiIiBobG6tOPfVUOwzLKsNzIwDh22+\\u002ffRcRuXpCsu\\u002fcubO5oKCgFYer8Vz724ZoiqpjTRj2a3CSz4BewTMm4o2rhdOnT3cEAgE3UXKp60SRVFO0YcOGFgB+i8VCkiT1yZEgZlxJT093X3HFFdU\\u002f\\u002fPBDDRk29nQXfN0eDAbtM2fOrEMc2Q2+duW+++7bTUTursTHG\\u002fqZiIi++eYbZ2ZmJrcRJAqq+QB6TnwzW02SgOuRJyC6QSUmwSH0gIwWt9vtNA6uZAIfgC+99BIJgkAWi6U3JXmbhyRJWpyUdS9durTK5\\u002fP1mKeC37uiKI1nn312LQ6X7DyDTej\\u002f\\u002fb\\u002f\\u002ft4eYNb6rhkJ+vU2bNjVbrdZAO0E1\\u002f8vGVnKs7Y5jcF+5FXqhvhjjG1fLSkpKWmtra+1ESaeuR8AH34oVKwhA0hCdH\\u002fGFHYYPH27funVrLRGpPdGn3Ninqqpj3rx51YhLT2Uw0IWef\\u002f75\\u002fUQU7M4kw11vb7\\u002f9dqMgCGGDay+e7LewsWaSvQ\\u002fBAxweQxzJ+SydnZ3dWlZWVkv6Lqukk+QcBqJrALRkI7rx4NI2JSWl5cMPP6wlIrUn1Xgiar7gggvaI7v\\u002f7bffLieWzbabfR564okn6gCoLDUWvx4vHuHHMWqJ7y\\u002fgnf5TREmuAdH844Ig+DZs2FBjeKhJi\\u002f5EdCCqLVksltbPP\\u002f+8lqjrvm4jDNqB46yzzuJqfIyfXRAEslqtzdu2basg6tbygcfk+++8885aAEpc8Qi+BDyIaFVccy97L4J39lgAzTh8kwoBUB944IF6IlIDgUCHgj+MaYeNJZGoFxI+9jeiA1EjZ1FRUaPD4ajvqaQc\\u002fByhUKjxtNNOq2fXOuy6JSUl1U6nk4cud+m6hnx\\u002f\\u002frlz5zqM52cHN86tQWwwlomjDB4UkwI9kQCX5jGD4MYbb3RStFhhkPTAED87eJBI0PBZwPBZiOLIfTQjxoiiRH\\u002f55Zf7DdFhIOAFF1xQQ0S+nuoXTly\\u002f3189ZsyYeiDWFcb\\u002fnjZtWiURNRB1XaPgv3O73S3Dhg3j0XPG++Tj6\\u002f9jY7DfqfD90W3Agxjuh54LjAc6QBRF0jRNGDt2bMPnn39u37Vr16D9+\\u002fenOJ3OlpaWlkBzc7Nit9uF1tZWye\\u002f3S6FQSExJSdFSUlK0zMxMNScnh\\u002fLz86WCgoK0rKysgcOGDfOPHDnSW1RUJAEYCFbyl4OVDCZZloFu9iUP6Fi5cqX2k5\\u002f8RLBYLEI4HO7OKXsFvBS0qqrBDz74oHH+\\u002fPnFqqqKkiR1e2xpmkaiKApNTU0VY8aMSWlqairUS7oTD4AiVVWFq666quLVV18t0DQtNa5ue2euBVEU8cMPP9RPmzZtQDgcTqNoeWmCrjF6oAfTbIUu2bW2z2iiO+Az6WwkCIrhx8CBA\\u002f2FhYWN0FM3dyfoxJOVldV48sknO2bPnh347W9\\u002fW\\u002fHRRx\\u002ftr6io8BNRK0V3WHW7phqX6K+88ooKPVilz6V1Rw9enmnKlCm1ROTlFWB6AtzYtmXLloOSJDniN8JwS\\u002fyTTz65T\\u002f96t41z2j\\u002f\\u002f+c8GAGobYbLfQM8ZH4m4NNGz4K60dAA7ENv5CQ9e2VSWZU2SJF4GuM2Df0eWZc1iscS7W\\u002fj1VEEQglOnTq24\\u002ffbbHe+9915dOBy2k67qa0TUJcL3BNGNwS7xBw+GkWWZLBYLWSyWSL8Yc9Z39WC\\u002fD3\\u002f77beVcZliuw3eNytXriwHEOD7Fdh1NVmWyWq1tm7fvr2c9X9Xyc5z2Psuv\\u002fxyO+9Tw31yFf5PbEz2OxW+P4B36v9A7+xImd34g9fpiq8T1tmDuej4JJAoYowAeAsKCnyXXXZZ7bvvvlvncDicxAoNskHXIdIbBrMC5urpYrt97PDGHT7o2zHb7LcEpZY6NckIgqBdc8019dRD7rYE\\u002feP74x\\u002f\\u002fWBbfP7zNJ5xwQr3f7+fr9S5dh9tfWlpanIMHD26Nq\\u002fnGXW4eABPZeOwXxrn+onrw9dBU6KWLU9BOQn6+Rot\\u002fjf\\u002fcCNLXYof9H\\u002f8aaZBOCqiqKhg\\u002fKy4ubjz\\u002f\\u002fPPFX\\u002fziF\\u002f5JkyblQ\\u002ff1S6qqRtazicDX6KtWrVKvvvpqQZZlUVE6tVcl\\u002fNe\\u002f\\u002frVx6tSpA6AP\\u002fpgPNU0T\\u002fH6\\u002fHA6HpUAgYAmFQp7m5mZnQ0OD\\u002f+uvv07dsmVLod\\u002fvFwBYRFEE38DSUXD7yLBhw1oOHjwYAFDE19idOlHbIE3TBFEUWy677LKGt95662S2Scm4Xqcrr7zy4GuvvVagquoAJo07fX1VVUmSJGH9+vUN5513XrYoilZDf3Cb0CYAcxE74ZnoBrhLwwrgM7ShsjPfeXy4Zo8dfAkQL\\u002fF4YA5Xjw2fBU877TT7888\\u002fX+\\u002f1eu1cYrQl4bsq0bnKnZKSoqiq6uyM8CLd4+AnoqDb7W567rnnyocPH+4AEqZMPlI7NNYPLV9++SUvv9Sjrgnebz6fzz548OBaINYSz2PiX3jhhQPs+l2+Fvtt8JZbbuEqPL+OsYrrz9kYTXqp3h8kOrey3wTgWRis7IC+ZZKi1lFAJ4kvJydHKiwsFMeNG9cwbtw4\\u002f6BBg6SBAwempaenZ4iiaJUkKQUASE\\u002fnHA6Hw77W1la3w+EIVlVV0fbt2zP27NlT4HK5wk6nU1FVNRX6ZBO5riAIICLSNE0wvE+iKAoGaawNHjzYdfPNN\\u002fuWLl2anpeXlw7Awq28HFyiv\\u002frqq+qSJUsgy7LUEYnO2oCUlBS1uro6kJWVlU76dtd4CXPYs+b3YNRwQqGQY\\u002fHixYG33nqrSBAEiSj+NG1DlmUoioKnn37adfPNN2eoqir19BZgLm137NhxcOLEiXkABnBpyyZdISUlxXHw4EFvYWHh0K5qFZqmkSAIgs\\u002fnaxkzZoxQU1OTBaZVQCe7AMAOXYVvYP+bVvgugls2BwKoQJw0Z4NZA6CdcMIJ9p\\u002f+9KdVjz76qLu0tPSQoij1pEst49FW8At\\u002fP\\u002f77IUVRanbv3r3\\u002fn\\u002f\\u002f8Z8svfvGLuqlTpx6EHhYZsfgzQ9dhBi1RFI0ahjpgwADXfffdV+d0OiNVXzi4RF+1apUCQOmKRHc6ne7483YCWigU4j90TZkypQE4LHjkSFqPBoDuvffefUTkP1olq5i0DT\\u002f55JO7AQSYVNeM7f3Rj350iIhauxPzwDWCd955xw5AacO3\\u002fjgbq6ZhrhvgIu9BJCa5ev3119du3bq1trW11Ucs7RAHj3TjBw96ae84QkCMh4hchw4dcr355pu7fvzjHzcNGTKkETrxIwateHJwYx77X8vJyWldvXp1BREp\\u002fDqc6K+++moYfUN0IiLiZN+6dWsVgFBnrPFcjV6wYMF+MhgkjwK4ddxz8cUXHwAOi5wjAKGnn356HxGFu7qEMGTD8S9cuJBH6BlVeG6YOw2x2Y1MdAJ8H\\u002fBoAG5ELZ6RJBJz5sxpIoMvmycE7OGwVU1RFI2lU4r\\u002fTFUUpXrt2rVN119\\u002f\\u002ff6MjAwPDGWB4ndECYKg2Ww2DQAtXrz4EBEFk43oht8HpkyZUgMclpyh3XU6ABo3blydqqqhnmhLW+Dr9dbW1urc3Fw795Dw9oqiSKmpqc01NTXVRN0KkdWIiA4dOtSUnp7ujXumXKq\\u002fw8Zs0q7Vk7ZhiA6gexBNISSyNakgSVLo0UcfJQA2RhIA+jqRRWX1lP1BkCRJkGU5Yg\\u002fQNA2qqoJFgA26+OKLc1944YXBdrvd\\u002f7\\u002f\\u002f+791M2bMqNM0LaBpGogITMKAiARFUSAIAtLT09v1GHQRHV9Qt3cSvS+FSy+9NNTJNgkA4HA4MsPh8FGVbqIoCqqqUmZm5qBnnnnGRURBHo3H1tHk9\\u002ftzbrzxxjAAr9DFjmXXwQknnJB97733tsbZViTokn0B9MSSGkyp3inwnpwAvcLHYWmab7755gYiCvX1\\u002fnJVVbUEO+OaNm\\u002feXLNo0aIKi8XiBqJbLGVZVgHQDTfcUEEJJPrrr78eAhDuikRvaWlxEXVfivIIsVWrVvnRBe0iPT1d9Xg84Z5oy5HA1tGeK6+8sgxx2gcbK8F169btJ1376rJUV1WVPB5Py9ChQ1vi4g24VP8IUQ9RfzByJwU40VfC0JlcJcvNzfU0NDQ4k7CEcfz+6FBpaWnlddddVwGW4ooF3mhJTnSNiOiLL75wAHAlyMDSbltsNpvicrmae6ItRwJ\\u002f\\u002fh6PpyY\\u002fP99uJCGP+Bs0aFCdoigN3RkvfDn47LPP1gFQ2yjPnLQlnpJRdefq0GkALgdT2QFAEARB0zT61a9+5c\\u002fPz8\\u002fs4YCMnoAgy7IAgFRVhaZpljFjxgx56aWXcvfs2eO64oorKjVNa9U0TeiqKtkeqBOusPbAm5afnx+0WCxhim7s6BA0TdPC4XCQtalnGtUGuAqfnp5e+NRTT7VomhbifcsCbKimpqbgD3\\u002f4g0sQBAVdlLaiKApEJNx0000ZI0eOdGqaFr+kEQD8FtHxm1RIRqLzgfH\\u002fQfdba9A5Dk3TkJOT47vjjjssAKQkI7kRgiRJfFcXEVH6qFGjBr\\u002f++uv5O3fudJ199tnViqL0+Na0nuZUSkoKT2nV521pD5IkCUQkXX755cU\\u002f+tGPalgKbwIiu9LE5cuX51dUVNSyCL5ON46PPwDp9957rwrd3cY\\u002fFqGP21nQ1+qEJJTqyQTecycjms3V6B\\u002fV7r\\u002f\\u002f\\u002fgbqoTxlvQWjm4\\u002fB09jYWGVcM3LVffXq1V1W3Zubm3tEdeftqqmpqc7MzGyEwaLekbZYLJZQY2Njj2Wd6Uyb9+3bd8hqtbbw2Hvj2Ln00ksPkJ5YsjvqO\\u002fl8voaioqIWxNoE+Fr9TTaOk0qIJlVjEFWrbgCQCX3tI\\u002fA46oKCAt\\u002fSpUutRMRn0H4BHuPOJDwApOfl5Q3uiT3bcddJmj7pbKx8d8GKPdDJJ59cfPvttzeoqgqu8amqKoiiKLz99ttFW7ZsaRBFUehK+yRJEjRNQ2pqas6cOXOC0Cc3\\u002fgwl6GPyIuhGZA1JxK+kaQh0kqsA8qHngQMMa3Miwq233urNzc3NZOpYsqrt7UKSJGMyg8PQHbIaQ3GTAL0+6TDOWe+\\u002f\\u002f\\u002f7skpKSeraOJvYZEVHaHXfcIUKPy+hSG0kPt5ZvuOGGFv6\\u002fARr05eZtvEldu5OeRzIRnbflcgBFiMYTQ1VVpKWl+W+77bYUMF96fwZrf3t+9C4NwGSS6H0BbpizWq25DzzwgIeIQnwdzUpA4bPPPsv\\u002f4IMPmkRRNJZj6jD43oBRo0YNlmXZH6cZCNCf3cXQ6wzwkmB9jqRoBKIbAmQA1yC67osYVa688kpvQUGBLX4ziInkA8VuMupVMOu4eN111w0cNWqUnVveWbsIQOqdd95pAeDmAVCdARcyJSUl6imnnFLPrslPwrdTFwC4kP+k2zfVA0gWxvD1zenQ3WqRKDhN0wRJkoJLly4VANior0ZQP0Bvr4vbQWSi7m3wHYUABj766KNBIgqAkY2RHrt37y5cu3ZtkyAIUFW1S+0URVEbPXp05JrGJkC\\u002f9+sQXY72OZKF6HyEXgm93lXEpUZEmDZtWmDq1KnppIeTJsUMebRwDKnffXYfLHEGnX\\u002f++fmnn356g6ZpPEqOb2W13H\\u002f\\u002f\\u002fVYALmbr6XBbDW42S0FBQRp\\u002fz3h56ASfBt3dxt\\u002frU\\u002fR5AxBV27MBXMHek4BoB95+++0KgJQkklhHG10lybEySXQXPOtP1mOPPRYGEOKGSp7pZ8uWLXkbNmxw8CxBnTk5G4dyenp6Whtf4YkErubt6fwt9CySgei8DfOhr20IzKWmqiqKi4tb5s2bZwOOKWl3TMK4qurrFRZbq2P69OlFZ555Zg1FNxfpllBBSPn9739vAdDaRZuPKIqizM4VT2R+wnOgl19W0cdkTwaic1yMaNwwd5\\u002fR3LlzpezsbIvRL3osg09mXSFKX5OLoz33YW+BqdgEIPUvf\\u002fmLAMBDRIIgCMTDV7\\u002f77rvcTz\\u002f9tFkQBOrMWj0aYaspQMIwX26UGwFgiuG9PkNfE12ETuwSAGfDUPKGBZao119\\u002fvRf6uj05RrGJDiEZJh1JkqBpmnj22WdnT548uYWIIh4b7ld\\u002f5JFHAMDHNYCOgBE97PF4vO18jZ\\u002fssrj\\u002f+wR9TXQuoc8AUAwWTcSNcIMHDw6deeaZ2QCOC2kOdG8\\u002fejItbZKB6NDX6gQg5\\u002f777\\u002fcRkUKsyouqqoIgCHj33XdzKyoqWoAOt5ln2A3b7XZPO7\\u002fjD\\u002fI8AANgiAvpC\\u002fQ10bl17SIk8J1fc801rbIsyywYpI+aaKIrSBY3KE9Oef755xeOHTu2hsVhEAAekpy5fPnyoCAISifbLJSWlgJo063JuVWCJLC+9zXRCbpafiYMedqZvzN01llnZYHlRDdxZCQJt5INAlt\\u002fZ\\u002f7qV78iAEFuPCN90Y7XXnttgNvtbmIx8O12IrfeV1dXC6WlpcXsPG1JIQW6B+lM3paeuKGuoC+JzrfxzQAwhP3NN7Bg0KBBgTlz5nj5e33TxN6HIaFBp8AGbTL1U9K0hS0Fxeuvv96ak5PjZ4ZdXhCCmpqaslatWhVgUr1dMrKNbNi5c2clEaUfwWLPz3UWdIHW5f3w3UVfEt3YCTJYJ\\u002fDZdvLkybLVas05XqztxxL6MgQ2EbihzWKxFN944411QNQWwpaFln\\u002f+858SgNCR8tALOoLPPfdcNvTda+1emr1OhkGYdf1Ouo6+IjoPDZSgh73y9yKumSVLljThONy83x3tpafJFQgEJEVRujQwk4noQNRmsHTp0ixJkhwsyw9pmiYQEXbs2FG4Y8eOOiJqMyxWVVUSBAEul6vpk08+SRUEQTSq+mz\\u002fu7HqBg8G48tT\\u002fl6voy+JTtALM8T4GTVNg8Vi0aZNm5YHdDsr6nEFTq6eUuG9Xq8UDAblrjQFSZZOibnahJNOOilz\\u002fvz5fiKK1Kdjxl\\u002fxiSeeSBEEwd\\u002fODkJBEATt2WefDTudzmxJktiKSR+jgwcPDi1evNhuOKfxPGcdzfs7EvraGDcS+v7zSDQcAEyYMKFp8ODBfC96Hzavz9AlovYUwfk6ta6uLkPTNBsjRGcfRHKJ9KirLfMXv\\u002fiFB0BkPc7Ud3ndunWy1+v1JUpMwX3w4XC46eGHH06DwUjMJ4wLL7yw+e677w4LguBlGoPxFBOgL1H7xM3WlxIdiLodIu4OAJg6daosSVIkgslEx9DD6rJWV1cnAEjp6HZO\\u002fqxEUYTNZuuKJnBUwW098+bNK8zLy3PwxBR8V1tdXV3++vXr3WC2TeNvWS228B\\u002f\\u002f+EdPY2NjPksgwnKiEAD4brrpJstpp51mzcjIMAbfcI6dCD1SjtAHvOtriT6TvfKwTwGAOm7cuAwAqaZbrW\\u002fADFLKgQMH7OytTs0goihKFovFxv7u4dZ1HTwQS5KkjBtuuMENRP3sTKqLTz31lAQ9nXPkd7yw4+7du2uXL1+eZ3TDsSUBZs+e7Zw8eXIagJJRo0aF+fX4KaAvU0\\u002fhTemF241BXzwFbohLBTCcv8f2BsNqtfrnzp3bBMSsc0z0EgzBScJbb72VCaDTu7tsNptmtVpz2PmSSiVjBJUXL16cKoqik0XIEfcUfPXVVzmtra01PFaebXEVVFVtvuKKK6yKogwAovfF\\u002fOq+ZcuWKQDSAagXXHBBLRCTSYivAzjRe31c9wXR+TVPgJ4yCjBsAMrLy7ONGjVqAHD8hL0a0Z2lSk+o7lwP3bNnT1NpaekALgU7+nMAGDJkiCM1NTV5RLkBXOWeOHFi6qmnnhria28m6eH1ei0rV65MAaAZXLueyy+\\u002f3LNz585iHufBzkWapuHqq6+2T5kypYhpoMLEiRMz4y\\u002fLXjnRe11V7cuHcSJ0dSbG6jF8+HAVQGayuWd6Ed258e52Gq\\u002f\\u002fHfzd734nE5HUGdWbT1Ljx49vFUVRMb6XROBqd+4NN9zQhNj1OAGwrVu3zg\\u002fAZ7FYBACeG2+8seHtt98u4ZZ7QHeDEpFQVFTU8OSTT6YRkY2dVxwyZEgegECCMTwOUdL3asf0JdGHI6rWRCT69OnTGwBoxzHRgS4mh+zuNcPhsCDLsvaf\\u002f\\u002fzHvmbNmgG8wGBHwSeFKVOmDAAgxVuuedHJvgYfbBdffHEeAC+P3eAbXT766KNcl8sVBuC48sorG1944YUhoijKRv+6IAiCpmnhF198MZidnV2oaVpkvX\\u002fyySd7CgsLmwxx9ZzUw6B7mXodfUF03lmnJPpwwoQJSany9RbayxDbgd91GpqmkaLowtdisSifffZZ9bXXXpsriqKts6Rk+f08p59+egoASzzRRVGEIAhQFAVaF6ql9BS4G3fo0KGpZ5xxRp1x+yoAhEKhzAcffLD27LPPDq5evfpEWZb5vQiAXrFXVVXlf\\u002f7nf6rPO++8fFVVieftB4CsrCyMHDnS6B7mDycFwBj29zEv0fnTH5aoDYMHD84HICbDzN+H6JJE58ajRAcr8xw5uHQVRVFgVWFaHnnkkdpzzz23wO\\u002f3p\\u002fOY7o6CqbIYMWJEeNasWSoAsPMC0CeUqqqqFgBeWZaJ+6p5Cequ3HM3wDWVtAULFqQDiNRr42mzH3zwwTGbNm0qEUVRYBMh2D1BURS6+uqra3\\u002f3u98VqaqaIooi\\u002fzk\\u002fb+agQYOygZjsM1yyn8Tb0Av3GUFvE53fnAzdGAcYLO4pKSm+IUOGtPFTE0dCWloaRFEURB2C8ZAkCYaDVxpVPR5P1b\\u002f+9a\\u002f6cePGBe66664hwWAwhRngOjUQeZGNm2++2QUgjxumwAjc2tpaedJJJ6lz5sxp\\u002fec\\u002f\\u002f+l0uVx1rDquxlRegUv63pjkiUhTFEW+5pprgqmpqT6eS459xvuQjFoJJ\\u002fnChQtrXnzxxVwAqaz0U+Q77Pu2YcOG+RAbDstPFBn3R+\\u002fuDkdfBTWkQd+nCyCS7UMYOnSoZ\\u002fDgwRYANhbllXSWnKONzsa6c1KoqoqvvvpKmT59uiMcDkfWi6qqCj6fT\\u002fb7\\u002fbLb7bZ5vV5qaWlx7Nmzx\\u002f1\\u002f\\u002f\\u002fd\\u002f+Tt37sxxuVw2ABbuE+4s0fjzy83NbVq6dGkmew8AoCgKZFnGmjVrXIqiFG3cuNG2ceNG5b777gtOnTrVcf311wemTZuWM3z4cFWW5SwYnjmX+IJeWx7o+nggVVU5gSGKImRZFgGgpKTEWlRUpJaXl0f87Pza\\u002fHp8na0oirp48eLaVatWDQSQnqhiEB+3EydObAaQqWka5xjv1D7Z3NLbROcz\\u002fGDoZNffjLrWkJKSwju3l5uWXOjC+lhesGDBwNzc3GZuQGPrYcHv91MwGOT7smUAhewAEHE5dalyCf+9oiihZcuWeVJTUwcbylkTS8\\u002fd8u9\\u002f\\u002fzsbgM1qtWqqqsotLS3yhg0b0jds2ACbzeY666yzwtOmTXNdccUVzSNGjChOS0vj2ogV0TwFh\\u002fVLIttE\\u002fHckSRIMu9KCqqpKdru97sUXX7S89dZbUkVFRQY\\u002ffzxY6mgBQOjXv\\u002f515YMPPlgMneQJS3bzcTty5EgNuhcj0lT2yl3KfMvqMblG5ew9D4YqnKzaJV144YVOInIz9a1XqnAmC3g11ffff98NPYcZGfuoJw5BEEiWZZIkiZj6HqmA2tWDV32dP39+NRF5WMVYjShafXTHjh2HJElqZssFjbdFFEWeb50fYQCB3NzcwKWXXlr+8MMPV7\\u002f99tu+mpqaWiKqJyJ\\u002fV7qWiOxVVVW1q1ev9v75z38uP+WUUxokSQqy67XbXwAoLy\\u002fP+eabb1YTkY+o\\u002fWq1vFKr3W6vlGU5aDgfr7b6HfTAGqAXpXpfSHRAT4ELMAMFN1gMGDAgE0zNkmX5eFPbeV\\u002fwgdFpCHpdMKLoLrb4FMwxhqXuQpZlUhRFOPnkk2vXrFkjQh\\u002fAkSUXk+ben\\u002f70p2FVVXO4VOUFFrhPmpEeAGRVVWWHw4E1a9acuGbNGgAIZ2VlWQsLC4WBAweKI0aMcJ566qnNJSUlSkFBgZiTk5NitVplRjIlEAgoTU1N4bq6Otq7d2\\u002fa999\\u002fX1BfX2+tqqpSPR6PDXr8Blj7wIh72Fjjz2H27Nm1r7\\u002f+ulRQUFDCE1UkSO9s\\u002fJ0AAKmpqbkWi0VWFIU\\u002fB\\u002f6bLAAZALzoRYneV0QfyF4J0WT7NGjQIGiaJtNxbHHvbmScYUAdVZ81XxYMGzas7rPPPkNqampxnDrLL67eeuutA958883yDz74oBC6i0kEIMiyzI1vMf56PmGxiDWLy+XKdblcAICvvvrK8sorr2TFNyfumkaI7JqQZRkwrNe5wZBfz0h4FkOgzps3L6WgoCAvGAzCZrMZr9UuLBZLSnp6us\\u002fv92fEtTETevh3r6KvFsJGic5BmZmZLlEU1SSMpjJhANMatLPPPrvh22+\\u002fFQoLC0sSrFl5DsABN910U8H777+fW15e7l22bNn+adOmuaxWaxOzsgvE4utlWeb7G0jTNEFRFIFZw7maD0mSuEU8Apb15bD3JUkSJUkCX6IoigJFUQRiu87YMoa7JuMHHQGQN27cKAFwWa1W\\u002fl6HYLVa1cLCwlbDuTgGIKq6H7OwsNfHEV2TkaDXw6KBAwf69u7d22Bc3x0vCIfDGhHR+vXrWwF4j8YavScOvsbOzc2119fX7yY9hTIpitLW2lXj9gcDWsrKyqoff\\u002fzx6tmzZ++32WwBAH7jdZgdQRNFMWJL6Io9gf+On4fbJwzfCaekpATPOuusKlmWlfj7LCwsbGhsbHQRRdffHUTg3HPPPQCARFHU2Hn561TGg2M2gxIn+r9hIDoMho+TTjrJ5XQ6W1nHdpYv\\u002fRb9hejsWWmSJKlpaWmeO++8s6y5ubmeiCLBOYnAgnbiJ4QQEQWcTmfD2rVr915\\u002f\\u002ffWuadOmVUqS5Gjr2qIokizLZLFYSJZlTZZlTZKkyMHfY5+3OTnk5uY6LrroouZHHnmkoampqZGIvCNGjCjn9wc22QDQNm7c6CXSJ7NOIHj11VfvRSzR+UTCs80cs0TnNoFXEUd0IGJ918455xw7Mev78UJ2TvQPP\\u002fww6YkefxQUFNhXr169n4gCRB2aoDVFUbQExAkTkX3fvn2t7733nv3hhx\\u002feee6559YOGTIklJWV1SoIggsAD0TpSNtCADzp6emtJSUlgbPOOsu5bNmyfR9++KGrrq7ORUSthmv7f\\u002fWrX+0wjMOI5H\\u002f00Uf367d15LGoqqqmaRq1trY2FRYWumAQYobxPpfxoNeI3tuLYQn6Fr3VABZBf2AxBkFJkqCqKv3kJz+pe\\u002fnllwcQUQYRJfRZHktQFIVkWRY2bNjgnjdvniSKYlp\\u002fqB7LosUAwH\\u002fHHXfYH3nkkXxEg0k6epqIgYwZzIAoWQUAXq\\u002fX6zhw4IC2e\\u002ffu9IqKiqzm5uZwa2urOxgMqqFQSGXGMsFms4mpqanWrKysrKKiImX06NEtEyZMCBcUFGRDt3jzcwrEEkGSniGWXn75Zce1116bJcuyVVEU7h3A7NmzWzZu3JhF1K7BHQCIBQgFb7vttoannnpqCBvP\\u002fEc8IepFAN5FlA\\u002fHHPiTX4MEEp0fzDer\\u002feIXv6glIrfRN3usgkv0DRs2uNDPJLooihp7ZuoVV1xRQ0wba8\\u002ff3A4i0l5V1fbOESIiLxG5SZfM\\u002fHCT7u8+TF0wLh+45CWK2oPKy8srrFZrLVvXawY\\u002fuj8cDtv5adpqELdFbNq0qUoURX+cLcCouv+Y8eCYVN25FRYA1qEdoiOqNml33313DXt4nTWG9Ctwon\\u002f00UfdIjofoAkOrasGrY4enOyLFy+uJiL\\u002fEYjaYTCCaoqiaOFwWAuFQhQOhxNOBJzM4XCY2Pc0Nm7aawj\\u002frHbUqFEONv4i\\u002fSVJkuvrr78+RNS2kZi\\u002f39raWltUVGRHrMoeT\\u002fTFjAe9RvS+cq8lvK5gyGKqaRpkWRaWL19ecvvtt7cA8IgdKJlzvIOIBGJpkeKOyPss1jvizupsfH1bUBQFFotFfPXVVwseeuihWlEUQ0Tdd+YLggC2MUeQZVmwWCyQZTmyNDDeJ4DI\\u002fbHvCWzZ157OzX3qxZMnT\\u002faCqffEss6oqpr22Wef5QFIGFzD9qILABznn38+6uvrC\\u002fhuvjbQ65K8N4nO10ZA7K6e6BfYpgP2NxRFgSRJ+Mc\\u002f\\u002fjHol7\\u002f8ZQv0ovWdSobQT9FVcoQzMzNbMjIyXMYjLS3NZbVaW2RZdgFwaZrmVhQloCgKVFUVDFlTIElSt9JGK4pCkiRZfv\\u002f73xf\\u002f8MMPTUf7ebFgl5ijiyAAWLBgQSNiE58QALmsrMwDwG+wIQDQE0eyMdt61VVXBb\\u002f44otiYyaaNhDqaiO7ir6KjDuM6FarVc3Ly3PW1tbmsVkUgL4rS5Ik4cknnxzc0NBQvXLlSsiyPIBn5uzNxvcGjNK1o\\u002fna2HZK7d577634y1\\u002f+ovp8PplPmKIoIhQKIRgMaj6fT2hubhbsdrtcVVWVUVlZ6a+vr3du375d2b59e7GmaelgUWvGZ9AZcM1B07TUn\\u002f3sZ61ff\\u002f21WxTFTMRO9EkHbmUbM2ZMHgz5ELhBdPfu3V4AfAsvePJINgZbr7nmGs\\u002frr79eJElSRzYHBY\\u002fenSQHuMryGuLW6BaLRdm6devWBQsW1EJf73HfI1+zawC0uXPn1vp8PidbF3VskdcPwNfon3zySQv0ZUqH19Pse\\u002f4NGzaUdfKyASJqISJndXW1+\\u002f33399xySWXVA8YMKCBn7srtgIWoKIBCK5bt66WiFR+f8kK7jqz2+1em83G7z+yCWfAgAHOhoaGIP+uIQio8fLLL68BwA2SMfaSuL7h4\\u002f38OD4cc+AaxEocbowLfPfddzVE1DRnzpxKJCA778hRo0Y17du3r5FIt3T2hMGnr9EDRA+8\\u002ffbb+1VV1cLhsKqqqmY8mCXbaNBK5McmIgrW1tZW33PPPfsBtBrO36mD+6LPPffcGiLydsMK31vgjWueNm3abuiTnGq8\\u002f71797ZqmkahUIiIiBobG+tPP\\u002f30WkSNx5Hn0Uaf8fE+h\\u002fHgmDXGcZXGH\\u002fMmS8Njt9tVALkff\\u002fyxbd68eTWKohj3EYP7Nvfu3Zs7bdo066ZNm3jYYp\\u002fmIEsWcKMVi\\u002fuOzzATOZhBS+Bx3tCNTFBVlVRVtRYXFw96+OGHB3\\u002fzzTeuoUOHNlBcTrWOwJBoMefQoUOBji5D+grElhwApPHjx6cCUXWevWh1dXWNgiDAYrEEN23aVHvqqaeKX331VTFT18G\\u002fS7phMJyRkeGNuwwf\\u002f72uuvc20fmTbmavMZsgPB6PxDq7YP369SlLliypVlVVlWU5YiBiFk5qaWkZMHfu3Lx\\u002f\\u002fetf9YIgBI8TI1276AqR+FhmhjiBGZJIVVXb1KlTB3\\u002f77bcYPnx4I9u00qkLsEGf8vHHHzd1tX29BYGlMwOQPnjw4GwAWnyQVl1dnR+A65577rGfc845ObW1tfnGgBgxWroq9PTTT9fNmDGjkr3PJboEPd7d12s31kfgqvtvoN+4iug6MPzPf\\u002f6ziYgoGAxyNar17rvvPgS9Y2LWPMawwkWLFtW1trbaidrdXJHU4Kr7pk2bnADcXVHd16xZs5+o5zYEhUIhjYiorKysPi0trVPLCUTVWe28885z681KbpsKv99Vq1ZVAXBzdZzf8\\u002fTp0+smTJjQxN8zjke+VLFarZ7Vq1c3EpHvpJNOqjaMW\\u002f5dF4BRjAe9JmiTQqIzqSIdOHAgC9D3ArO0QZnLli0reeqpp+oA+IhI4GWaiFk+JUmS33jjjaJJkybh22+\\u002ftUuSFGazc\\u002fKKj34Ci8UiKIqCESNG5P\\u002ftb39zMqne4d8TEQEQKioqNAAOtgxL2ufC7o1Gjx7tBhDmW2SJaSJff\\u002f110Q8\\u002f\\u002fJBrcAEb0z8LRUVFzk8++cS9aNGi3NbWVtlut\\u002fO8C8YEE63Qk070KvoqYCYR0QW73S4AUMmwJiQiy9KlS4e8++67NTabrUVV1Riys2w0OHDgQMGsWbMy\\u002f\\u002fGPfzQA8LB6WUmtLvYUuO\\u002f4aMTGs8AP8dZbb00fPHhwMx\\u002f8Hfkt7\\u002fu6urqQ3W4PA+iSy643QPq6mohIOPXUUy0ZGTxfRHR5ybe6GlJlkyiKUBSF5s+f31xaWqqeccYZRZqmCZqmNYfDYUuCS7kRtVH12uDsK4luR+xNEgC0tLS4AQRkWTYW+4OqqpYLLrhgxJYtW9zDhw+3M7JHfsyMdBQKhdJuv\\u002f324rlz5\\u002fr379\\u002ffwMIY+5V05\\u002fecLBMUj0ZMTU3NWLBggQxA60z8giAIaGlpsR44cKDXs6p0EKQoCrHEF6IgCN6vvvpKA5AaH3zDCByR4ixphv9Pf\\u002fpT7QcffGDNycnJC4fDJIoi3G63JxwOK0DkWfIH6oRO9l5FXxH9EKLRQRHVyOl0hgCEeWofAFw9h6qqwimnnDJkx44d4sKFCw+qqqqw1L3cSCew74off\\u002fxx\\u002fqmnnprOpLubS\\u002ff+sBusOzhCNFZ3YVm4cGEzmErbEbClFgCk1dbWZvD3jl4TOw5e1AJ6SisBgOebb76pvOCCC1yzZs0q8Xg8KcDhEy7XNBVF0caMGdPwxRdfuP785z\\u002fnA8gwRMnBbreH4n5rFHIh6Ia5Y1aiczQBaOH\\u002fGFQ8wevVly\\u002fxpOTbV1NTU\\u002fPffvvtgQ8++GCVpmmtrAxQjCoviiL5fL7022+\\u002fvXD27NmB7du3N0qSFGZqVtJIy57G0bovrj1NmjQpRZZl0ahtHQnse3JLS0sIegDKUWljR8EJzlyOGoCWdevWVZ9\\u002f\\u002fvnO6dOnF77\\u002f\\u002fvslRMQnpZjf8mg4URTdv\\u002fnNb2q3b98uz5gxo0hVVSvpcfHcRYedO3emgEUYxqGWvR4X+cwlAF+DWd55gIHVag3s3LkzTNR21Jthe2H4s88+OzRkyJA6MMu9IZNHJH0QdEuo\\u002f84776xtaWlppmgq4qSyznOr+3\\u002f\\u002f+18nAHdndpqx+wysXr36AFHPp+Hi\\u002feR2u8NZWVkxQSRHOnjQ0xNPPGEnonBfWN5ZwJDxrWBTU5PjueeeKx89enQDdONYJNVUgoi2iOV81qxZzt27d9cSUZDo8HHKg2luu+02HwDVEC2nstd7GQd6Nfy8L2YVAfpNV7L\\u002fiZjxLRQK2erq6nj0UEKwgBDSNE2eNWvWCXv27JGuv\\u002f76ck3TAky685OCV7MMhUIpjzzySPEpp5wiPP\\u002f88\\u002fVgrhPuO6VjRMIf7fuwWq1iXl5el9aXoVBIQVyJ7KMJ\\u002fvwN0lsFENyzZ0\\u002f50qVLnWPGjAnfdNNNJ+7ZsydfFMU0XuucJ8CI1zzYG+rf\\u002fva31NGjRxeHQiErdLdazGXZ\\u002f76qqioVOr\\u002f4Q+Fcq+DfPUq3nhB9RXQA2MdeY264urq6Mf69ROcQRRGqqiItLS3\\u002fhRdeKHrnnXdqBw0a1MhraCVYu6Ompib7pptuyh8\\u002ffnzwrbfesgNoZbu1kkalN0jKToOO8vrXarUq2dnZXgAdtrxzhMNhnlv5aDSNg2tqfAxAkqRwa2tr\\u002fYoVKxpnzpzZOGbMmJL\\u002f\\u002fd\\u002f\\u002fLWxsbCxkGWL5hBApv2QIfImAu4Cbmpqshuw5bVVq8dXU1LiAwyZfFW2M+6ONviA6v+Zu9hrTWdu3bze63NoFj+IiotQFCxacVFZWpt54442HiMjPpTv3g\\u002fK1uyiK8s6dO\\u002fMuu+yy3NNPP1358MMP6zVN87PoOySZ0a5Tg+Fotdv4LGw2W5f8Y0TU441jUpsMz0xg+899brfb++mnnx748Y9\\u002f3DJy5EjrddddV\\u002fDll18OBmDjkZb8dyy5RKT8kqZpYavVGjBei7uAw+FwZCt1PHj\\u002f19bWWvbv3281vMefYwuAMt78Hu2MI6Av66OXQw\\u002fyl2CwvH\\u002f55ZcFiKk22z6YKg9FUZCamlr03HPPFX7yySf2U045pZZlFokY69hD5IS3fP311wPnz59fcNZZZ3n+85\\u002f\\u002fNECX8Bo32pnx84eDqcCdRk9NQpzciqIQAK6Wc\\u002ftM44cfflj9y1\\u002f+0j169Gj37Nmzh61ZsybfbrcPlGVZ5Foe0964pkfEijlomqZNmjTJ\\u002fsYbbzTecccdpez8Ee8PAIRCoTbHBNeoysvLLS6XK4ftJTAGy+xGHwTLAH1L9EPQXQ2AgegHDx5EOBx2sI7tMNEMVT9Szz777BN37tyZumzZskNZWVlOrpbx9ZSB8BBFUfziiy\\u002fyFy1alH3KKadoK1asaHA6na2yLCs81rk3Sd8d1bYXlh7U1faxB9ylBjJiw6CSC7IsC4IguJubmx0bNmxouPHGG8uLi4vT58+fn\\u002f3kk08W1tbWFrEiDhBFkf+eF36MqOdsbLTOnj3bsX79+tqvv\\u002f468\\u002fLLLy8oLCzUy7ce7ktv8x745pcDBw7UIdbYxn+zi\\u002f3d68UV+4LoGvQbrWMHYLjp5uZmdfv27QrQ+SgqLt3Z73LuvvvuE3fv3u2\\u002f9tprDwHwMfXduH6HQcJbS0tLs6+77rqi8ePHK3fddZersrKyHkBYlmXim2YSVfTsYSS1FpHAXdQhdLTPuBHNYBjjxIYoikEAYbvdXv3MM88cuuSSS5QxY8aE5s2bV\\u002fDCCy8Mr6+vTxMEIYPnc483rrGlnMCy6oSysrLcd999d8X3338f3Lhxo23evHmDLRZLmqZpQjgcTthg8cgxwOJHH31ki7tn\\u002fsdO9trr+9D7qj66CN0wsQ2sagUR8dTBqZ9++qllypQp1FXjkqHMjlhcXFzy73\\u002f\\u002fO3jXXXfV\\u002f+Y3vxHff\\u002f\\u002f9gQDSucEuPpWSIAioqakZ+Mgjj9Djjz8evuCCCxzXXXddyoUXXqjYbLY8fg02mXS3bnePgg+s\\u002fjYRsb3qEASB21WMH3vdbnfzpk2bsr7\\u002f\\u002fvvGN998M6W0tLSAqe42IPq8+X0rihIp3siDrbidBoDnRz\\u002f6kfeqq64KX3vttWlpaWnFAKz898TyxLXF5\\u002fY0GvZZYPPmzYWGtwk6sRUApV3qoB5AXxGdD5bPAfwMsUXyhD179rQASBdFMY06EZxhBJ\\u002fBNU0jQRBsEyZMOOG9995r\\u002ffzzz5t+\\u002fetft2zevDlbVdV0Tm7NUN2T7dISFEWxvvPOO0XvvPOOcsIJJ3jPOeec5p\\u002f\\u002f\\u002fOehU045JSslJUUCEDG48HYybaHLxO+m6n7UJ5xuqO5tfsb2zAP6Pu1AQ0ODraamxv7uu++G3nvvvZKysjJbU1OTFcBww2\\u002f4RB2xmPOISlEUeTorXj3WM3ToULrhhhvqf\\u002fzjH+eNHz\\u002feClYfnq\\u002f5ubTntoRAIBAb1mZIPJkIvPZcQ0ODva6ubiAAC0VDX0XogTK7+Nc703c9gb4iOsc30G9aBKKq+n\\u002f\\u002f+1\\u002fR7\\u002ffLqamp3ZZOfJ3NHsSAWbNmDfjiiy88n3zySfOyZcuaP\\u002fjgg3zo1TYF5kuNSHj2exIEQa6oqMh64YUX6IUXXsDYsWObLrroIsv8+fNb5syZYxFFMRvRByqwUrnElxK9hd5wD\\u002fbg\\u002ffAJMdDU1FT78ccfp3\\u002fzzTfWbdu2NX\\u002f55Zd5fr9\\u002fCKLSMJ17UHjYKlPvYyS34dkRABo0aFDDJZdcIlxyySXhuXPnZkCfKEQgksSSq\\u002fSH3VRzc3P8WwAAq9WacCJXVVUQRRHr16\\u002fP8vl8VtYefp8AcAC6TUrEcUR0fvPV0P2Ko6Fn3hQFQcC+ffsGlpeXt44dO9baVYkeD8MsD0mSMubMmZMxZ84c97Zt2+x\\u002f+ctfxHXr1qUrijKQfZcPKiFeymuahtLS0vzS0lI8\\u002fPDD\\u002fkGDBolnnnlm\\u002fZIlS6SJEyemDRkyRJVlOQuGwcDXnCzaLTL59DSSmegU1zhFUQRZlrFu3brQ4sWLMzweTwaANAA5\\u002fDr8YNFtkZTNLIItYlSlaN13z4gRI0LTp09Xbr31Vt\\u002fEiRPzMzIyBHbeiOYlSRKx+PY20dLSIrN2c40PAMLZ2dka2JLBCB4o89VXX4UAZDO3Lm8zQY8EBfpomdeXRBcBeKB3wGgwyc4eLDZt2uQeO3ZsVk8OXq7OA3qaXkmSMidOnJi5Zs0a3549e1wvv\\u002fzyoaeffjrL4XCkAbAZ1HoQUUStM2xPTK2pqcFrr71W\\u002fNprryE7O9s5efJkdcKECb5LL73Ufuqpp+YOGDAgVRRFTRRFC7vnyFowkRpoyEaSlOhsSimOtp6j2+0WPR5Pts1ms7KCDDF56Ln\\u002fmj8LADxFNQCEJEnCqFGjnEuWLAmcccYZA2bPnh2CrpZzTQ6aphEz5nGStUk2fj1OdON5BEEIDxgwQAVgYwFDAr83URQRDofx8ccfh\\u002fj3Db8XAGziXdGZfjsWwDvyZzDEAvOsHueee26AiEJHs8giC7YwFgUMBIPBpueee6585syZtdAnokjsvCzLkayg\\u002fD2+Rzmu\\u002fI4KIJCWlqbMmjWr7r777it\\u002f8cUXfVu2bHGEQqFa0ksGxYDHun\\u002f55ZdNAFxCXAaT9g42OQRffPHFQ8ZzHQUE5s+fH18KuN2DZ17505\\u002f+dJCIAryveRbV1atXuwVB8Fkslpi4clYZNWG1k0GDBtVecsklzieeeKKqqqqqUlXVELHYcyLiJZe6tJeB\\u002fUabOnVqJe9b\\u002fhxSUlJcu3fvdrBrRE7O72nPnj1NABRDm3kf2QHks\\u002fHeJ5tZ+nKNzqe8TdD352YiquEJO3bsCHg8HiUjIyOXGzp6ugFcNQR0CS8Igs1qtdpuvPHG3BtvvNHx\\u002ffff+994443qlStXFldWVoqKomQAUes8e84RIxgjPgRBEFVVtfl8Pnz++edFn3\\u002f+Ob9eeOjQoVRUVCRcf\\u002f31NbfcckshEcnGdnQH1Auqe2fzxnG01zaDdTwizQ2uVW92djadfPLJ6o9\\u002f\\u002fOP6mTNnFk2aNMmamZkpAxjMv2SU3F3N909RDcJvt9uzDe0DESEzM1PNy8tTuJeAf8bDrt97770WADn8+9AnfBnAfwE40Af+c46+JroAPSRwN4BpAEjTNFGSJNTX12d88MEH\\u002fssvv1zTNK0D7svuwTA4eEXM3EmTJmHSpEkDH3jggZZPPvnE++qrr7refPNNi9Pp5G42UdATFnCVMyZBJbcCs1dBUZQBFRUVqKioQE5OjnbLLbf06LbN3iB6TxsXmRpuCQQCgE4MISMjw3PmmWc6Jk6cmDdr1izvj370o3B6enoJgJPBJCInNptYBWaF71bjiCK7WRx+v38gey9yz5mZmcjMzJQMXgJCNImk+4033siHPia4Ws\\u002fb8wX08S6jjSpFRxt9bXXnHfEBGNHZ\\u002fwRAWrdunfvyyy9PkSSpN9UdXrqXWMpiURTFgXPmzBk4Z84c78MPPyyUlZVVv\\u002fTSS9KmTZvSdu\\u002feLSqKkmU8Ac+NZrQMAxHJRUQkpqenHxf7kY+EzMzM4Mknn+wZN25c5pw5cyrPOOOMzEGDBuUXFBTkQveGZAJRuwYjHgmCIBzJoNZV+Hw+r9\\u002fvzwCQDn0pIQBAXl5eis1m8yqK4tixY0d6XV2du66urgWAqiiKUlpaeiIQE98uQU8btYmdus82USQD0TXoRL8P0dlaAIC1a9fm+ny+QFpaWgb1kPW9M20zRIERqwOXnpOTg2nTpg2dNm0aANi\\u002f\\u002fPJL6fPPP69cu3atunXr1sF+v19VVdUCFv1k3DYLVriPW+ETXrQb99gbm3G62r740FHeL+eee65t3759YQCp0I2yHFZmSScurQ3XPloDgQAIVVVVis\\u002fni3Qm79e6ujrp1ltvFTZt2hTau3dvGvR1d\\u002f5hJ9GXclxjLQXwA6JjvU\\u002fQ10TnnfED9Ci506Anh5QEPdeYuGHDBu\\u002fChQsztGidq76AwPPY8YdOupumcMaMGZgxY0bwnnvugcfj8ZaVldlXr1498LvvvtO+++47raWlpRCxBhged380JHrSBswIcdta+XmsVms6gHRjAQT+yjSrXnvmmqYJoihi27ZtqZqmyfH156qqqixPP\\u002f10Lm9f3HIyvuYav9\\u002fViMaK9JnFva+JTqwNXgAboBMdACBJEimKIq1YsSJl4cKFPkEQuhwl11NIYDQjlpjSJooiMjIybJMmTcqeNGkSADQ3NDRQaWmpt6qqqvabb74RN27cWFJXV0fNzc2a2+0OJL5K15HMa\\u002fS22sZV8WQomMkmcYVJ6wzuauOf8xBdHkUZtxcjnuQidLX9gwSf9zr6muhAVJ35D\\u002fQ0OxIAbskUPvzwQ7m8vJyGDRvGfd99PiAM4Ot5ANFwSiISZFkeWFBQgIKCAgA4+ZprrgEANRwO13\\u002f77bdqKBRKA3BYOmBu5OnKpJbMVvcjLFX69JkSi4O3Wq0CAOd3333nBlDMXECC8XtsOREJuW2jzzXo4\\u002fhbAHsQ3dvRZ0gGgxDvqe8BbGF\\u002fa8RqpXs8nvQ1a9Z4gE5sUu8j8HBKbswzJEUQNU0TAVgsFsuQmTNnnjh79uxIUEdPgfpprHtfgrvGZFlW7XZ7zSWXXBJ69913T2Rus8Nulm9xBTp0T+ugZ3ztc571eQMQtU6qAFaw93SzJevIZ555JgOAR+jkHvU+Bi9uyDdgAIhkIaV2cs13+f76g+qeLHM1k+J896Hzqaeeqhw1alTK2rVrB2maZo3vS74m51tcJUkKpaenUxsZdyTowVar2P99XrUiGYgORAf3WgCN0JcUGrHQwn379lk2bNgQFASBmOrUbyEaKpv2dVu6gmSttNJJEKDHTjgcjtr58+e33HbbbUNcLlduG\\u002fEaxJZlgbPPPrvpX\\u002f\\u002f6V0NFRUW9x+PxzJgxwwHEhAbzDnobQA36MEjGiGQhOrdKVgL4ECzckRtqiMj62GOPCdBjm4VkVQN7At0JDNKObgEHAEAgEOj1pAk9CebmEwRBCHzwwQcHRo4cafvwww+HSZIkCyxZhRF8M9P06dObvvvuu9ZPPvnEcuuttw4eNGjQ0IqKCtfmzZvTDWt1vqbXALzKT9Gb99cWkqIRDDyS6Hn2yreuCoIg4P3338\\u002fcuXOnpx0DiImjDyEQCHRpzCRD\\u002fj1FUXgodeNtt91Wef755xc2Nzfn8vrmiWwcgi5pwrfccos0efLkAkVRsljeuODDDz+MUCiUyoKggKi7eCf0IJk+2ZKaCMlEdN4hXwD4DNH877zutOWhhx4S0EchhP0BvTEBhkKhZBozHQWxYpyCx+PZf8YZZ7ieeuqpEZIkZfAsQ4l+xOPYbTabf86cOS62bNGsVqvgcDhcL730Ujrb1xD5CTuehV7qOynUdiC5iM6NciEAT7P3BLBQUgBYs2ZNSlVVlVvUK1omRQcmA7iB62gR3XjeUCjUJdWdua76Qhsj0jMBq19++eWB4cOHWzZv3jxClmWReUSM+QZifsj\\u002fz8\\u002fPTznhhBNyWfILEYC2fPlyv8\\u002fny2FCyBgJVw1dbe\\u002fTSLh4JBPRAbapAcAa6AkpIoNDkiTyer1pf\\u002f\\u002f733nFj35pzOoAurwf\\u002fWiv0cPhsORyuRIWH2wLhgi4Xh9rhvW4+1\\u002f\\u002f+lfZzJkzcxsaGk7gWWE5eBKLtu7p9NNPbwKQyVR\\u002fOJ1Ox7PPPpvFchUY92cIAF6CvlOtTyPh4pFsROcRRT4A\\u002f4JB9eFr9RdeeGHAoUOHXCzZftJ0ZE8hWdxPiRAKhaihoYFv4OlUQ1NTU2WwWP\\u002feAC\\u002fFBKDlrrvuqvj5z39+oiiK2UwbjElBpaoqnXHGGdUTJkyo4e+zVwDA+eefHwKL7RAEQV22bJnP4XBkinrteD5GRegFGl5kTUiqsZlsRAeiHbQCep2qiAokiiIFg0Hrn\\u002f70J4Ku4ifNGigJIBxtiR4IBBzxSRM7AAEA0tPT0wGIvUF0VVUhSRICgUDzwoULGx955JExkiSlxOeZY9uKQ7\\u002f85S+rNm7cqNTX1+cY28zSjgUmTZqUD0C0WCxwOBxNjz32WLYgCJJhbc41zBUADiKJjHAcyUh0Hj7YDOBxxOZeEwRBEFatWpW+d+9eDw9g6KuGJhuOFolYWC8qKipc4XBY6cy1eJATI\\u002fpRd81xkjudzuozzjjD984774yQJEkyBijx6iypqamtzz33nP3xxx8v\\u002fuyzz6ihoUHiXh1uSR8\\u002ffnzrpEmTeK3z4O9+97uQ3+8fYKi9xqV5M4DHkKRLymQkOhCdIZ+FXrpJgCGARlGUlF\\u002f96lcEIHC0E1L0NrpzP0crBJbnY3jvvfdyAcjG+P72YPBLe0tKSgI4ihoYj0OXJAllZWXl48ePt23dunWwLMt88wnfNUiqqgonnXRS05YtW1w33njjIADqihUr0gVBsPDyXez72qxZs1IBZAqCgL179zpeeumlHFEUBYO\\u002fnY\\u002fVF6GP1aST5skOPvvfBpYrDNE8bRqA8Lp16+xEpPV0PfC+AL+H77\\u002f\\u002f3g7Aye61o3nZCEBo+fLltUQ9njNOYznRXLNmzWoCojXPj3Tw9ttsNvuhQ4cqjffZw+BtVDZt2rQ\\u002fIyPDAUO+urh+omnTptmdTmctaw95PB5HcXFxLRDNhcfW6cEvvviinGk07nPPPbeKfceYE06DbnwbBEP8h4mOg\\u002fsk0wDsgN6hCtjDEASBRo4c2RIKhdxdTQSYTDAQvUEQhKQhOj\\u002fX5s2bmyRJ8hsG+REPTpohQ4bYiaiCiIgVvuwxGJ598Nlnnz0giqLLeG3ej6yPlKuuuqqaiJxERMFgkIhIXb9+fTUAhd8bT+44cOBAn8fj8RKR9p\\u002f\\u002f\\u002fOcggGDc5KGw1\\u002fvYmDVJ3kVwqX4xEM0Ui+jg1h544AEu1Xty\\u002fPQ6ONG3b99u7yrRH3744R4luuE8zZMnT25ArDTraLtoxowZbiLy9vRkbJg0Wn7\\u002f+9+XQ\\u002ffWxPSbEM3IGvjDH\\u002f5wkIg87Ld8glAXLVp0iFngNRg0gZtvvrmSiMjr9TYUFRXVC7GZeVXowmcv9Fz0IpJ0fd4fYFSF1iFWhddEUaSMjAzf\\u002fv37G6mfq\\u002fA9QfSHHnqoloi0cDisseQI7R5EpJGu9mqqqmqKomjhcNiY\\u002fpqIqPmyyy6rAzqe4tnYLkEQ1N\\u002f\\u002f\\u002fvdl7B57rL94umgiavjpT396EIDC0kNrhutz4vpXrFhxgIiCbPegxicJp9NZnZGR4YZhUmBbUX3vv\\u002f++i4gCP\\u002fvZz\\u002fYZ+jlemi9m47Nf7wFIBnCiT4I+Y\\u002fOAmYh0mTVrVjMR+RRF6bcqfE8Qffny5XYiolAoRETUEaIngkZEISIKvP\\u002f++43jx4934fBB3qGDEUf95ptvDhFR\\u002fATSZXCSNzc315155pnlidrHJ6XMzEzXxx9\\u002fXEVEIcPkxs8Rfuyxx+qgb5bivyMAdOKJJ7YQUcs333xTI4qim01a8ST\\u002fGDrBTZW9h8Bny4dxuAqvAVCeeOKJOiIK91epHkf0ZnSe6NqSJUuaichBRF4icnfgaCUih6Io9paWlvotW7a4Vq5cGb7\\u002f\\u002fvtrxo0b5wQQRifVdRiIJggCDR8+vDocDruJqCcm4YjRbdeuXdUnnXRSnWEMRK4tyzIBoCFDhjTs2rXLTqQTm1\\u002ff0A7vqaeeWms8B+\\u002fLX\\u002f\\u002f613Yicpx88skxRjpEDXABRFOfJT3RkyGVVEfAt7H+D4ALAIzl75GeiUb69a9\\u002fnXXhhRe6hw0blsN9qf0RPC8ddcInzt1Hr7\\u002f+evquXbuCVqtVpA642oiIAoEA+f1+0ev1UlNTk6SqqgygxNiWrmSXFQRB0DRNW7x4sSjLsqW7z4RVxRVEUQy98847VVdddVW+3+8fwMsi8++xXIPCtGnTat577z1rbm5uAdvQYrxvCIKAL774omn79u0lxngMVnpJveOOO8K\\u002f\\u002fe1v\\u002fWVlZSfEXYPHeSwDsBWmO63HwUfJfEQt8DEq\\u002fIwZM5qIyMVm\\u002fX4l2blE\\u002f+GHH+yiKHZKovfkIcsyLz3V5XOwDSKUmpra2tjYWEvUPWu7QUtrffDBB\\u002feAlcqKs6xH1PeFCxdWBQKBJqKEhkmuFfguuuiiOgBavBFu0aJFdV988cU2AF6mmfDrcJX9B+j55iWYBrijAq4iPYvYjo+oa\\u002ffee2+D\\u002fnzD1J\\u002fQU0SXJEmTJIk6erACkBpXtTt7vUQHfxb33XffISJSu7M25wY8VVUbFi9efAhAiNW7i\\u002fQNaz8BCN5zzz11RNRi7NME\\u002fayVlZXVp6SkuI2WdFEUyWazKY899tgPI0aMaGKfGe9NZcccNg77p9rYD8BdGAOh726LITub0YPr16+vp37mcksWid7dgxNwxIgR9nA47OBW7s72h8FgqO7bt69i1KhRfD1+2MTG+qr1mWeeqSEiP1HbGgQ7Z\\u002fjmm2+uivs9AaCSkhLnzJkzyxL0Px9nj7CxaJL8KINL9bOhb2zh\\u002fsyIAaioqMhjt9ub2nvgyQZO9B07dtglSeqvRNdYZdnWLVu2VBFz3XW1L4jI\\u002ffzzz5dbrdaEkW5ccygqKnJt3ry5gtjk3pbRj2sWdXV19TabzZtIg5FlOQQgkSQnAF9BL9Mkoh8Y4I4FcMvK\\u002fdAfQBhRiUIAaMqUKS3BYNDDs64mO\\u002fjg3rlzZ31\\u002fJLphjRx8\\u002fvnnq6kLGpWmaUZfe+Mtt9xyELp1u61IN23KlClN9fX1dtaH7Vr22bmDP\\u002f\\u002f5z2ugr807cm9cXXdDd\\u002fECJsl7DTyQxgY9N5dRteIzv3rttdfWEfOvU5Ib5\\u002foz0Q3tDC5fvryaiPydNYgaJL+6b9++6lNPPbWGPcv4SLeIYezKK6+s9nq9LqKYAJo2+1fTNDp06JA9PT291Vj3vJ1DQ1SI3MbGnqmy9zL4rDoCQB1iVSyu1qnLly+vIaJgsq\\u002fXOdF37drVb4hutHTLsux++umnq4nI35nApTgp7nn66acP2Gy2FiDhepxfy\\u002f\\u002fII49Ukh4v0KGIOzbxhK655pr4jSntHVx48HoDJsn7CJzs50GfeSPrdcMgVF5\\u002f\\u002fXU7Jbklvj8R3UhwANqoUaMav\\u002fvuu2oiUjoTFKOqqsaj1RwOR82FF15YCSAIHO464+vxE044oenzzz+vJz16r0M2GG5p37FjR40kSb4O9isn+RborjRzZ1ofg6\\u002fX74X+YCLrde4ekSQp+NFHH3G\\u002faudZ2AvgRC8tLa2XZTkpiS6KosYJB4CsVqv73nvvrQ0Ggw52Dx2V5JrhObSuWrWqPDc3txGIqOox12R\\u002fK\\u002fPnz693OBwNRLGRbu1eKGqj8cycObMOusGwIyo7Qd9+yks5myTvYwjQyS5CV7FiyM5VtLS0NPfWrVuTluyc6Lt37661WCxNgiBofUF07lcWRVEz+NqN5FOzsrK81157rb2srKyJiIKs\\u002fR29z8ifdru99rLLLjsEZnBrS1UH4PvrX\\u002f9aQ2znWWeWYdw+s2LFikoYtqK2c3DjmwbgEjbGTJU9ScD3rqcD+ASxqldEKhQVFTn379\\u002ffZCRWEkF3GqtqbWFhYQMAstlsZLFYeuWQZfkwaYrYwa9MmTKl\\u002fqGHHnI0NDTUE5HK2tshycp2jPF\\u002fnU8\\u002f\\u002fXR5dnZ2E5DQ4BYh+Yknntjy6aefVhNT1akLBj6Px9OYl5fnNCQtaU+S83HzSza2+kuY+HEDrloVQA9RjCE798GWlJQ079u3r63wyD4FG5jq2rVrD2RlZdVDjxPoLWkehi5ZPTabrbmoqKhx0qRJnksvvdT74osvHigrK3MpiuIlIoW1taNuS6Obzbd169aqGTNmVPN7a0eKh5YsWVLjcrmaDefo1PNi7fNeddVVlQDUDqjsXBN8kI2lY4bkx1qcLt9gMAZ6DbfB0KWRBOj5u1VVRXFxcfPGjRtp1KhRuYqikCzLSdMPpG+40Ox2e91HH32UGQgEIIqiTF1P\\u002fChIkmRjhQcSf0EQkJKSEk5LSwunp6crJSUlgUGDBiksoWOW8buKooCFoLbbZ6QXJeQbWZTm5ubG3\\u002f72t+FnnnkmB0Amy6VOxDbfCNFqpcjKynI98cQT\\u002fmuuuSYTQLqiKOhonjoOVilVWLFiRc11111XxBJEtvcTBTqxVwK4lt8GO0wkIfh6agaAJkRVzxg1vri4uHn37t2NRD2bEKEnECcpFdLV5O4cXYaiKKQoSodVdIo1tFE4HG585JFHKrOyshxATM6\\u002fiCQ15KALLViwoKmysrKRiLSuBjvxZdmhQ4dqMjIyWuJj4xMcXPN7B0AqTAt7vwEn+1wALsSRnauHOTk5LZ9++mkDEakdteL2Fni2lz44NEVReOhqhzskzh9OROR6+eWXK4YPH97E+z7eBsANfexZtK5YsaKWiHzs\\u002frvUb3xdrihK86RJkxqBI\\u002frMOck\\u002fgm7jAUyS9ytwXe98AF4cLtkJAKWmpnpZNtnQsZBksrehaZrR1qERkevtt9+uOu2002p4f7MUTzGWfYObLnDNNdfU19XVOfg5u7o\\u002fwaAB+C+77DIeWdeeJOdr8s0A8th4MUneD8HJfimiZDda4\\u002fnACz733HO1xHY+JaFFPunAcswZ33KtXbu2+rTTTmsA4Of929aecQDqKaec0vzxxx\\u002fXElGAqFN++ETgS4YgSxQZPkIsOx8HnwMoZOPEJHk\\u002fBlfj50EPgIghu2HPcejOO++M8dWa0j0WXGIaCB5SVdW5YsWKQ9OmTWvi\\u002fZqI4Eb1OScnp\\u002fWxxx6L7Bvv6lZWY7v4hpVnnnnmAIBAvMsu7uDejI8B5LLxYZL8GACX7D8C0IBYtS1G0syePdvhcDia+ACiJN8M00uIMbARkdLQ0FC\\u002ffPnyqiFDhjjAwlaNa25+GFVnSZI8S5cubWhsbGwi5qbrAUMo1ywCL7\\u002f88kHo1XvaigeIN7wNYOPCDIg5hsDJPg16IbwYssNgpCsqKnK\\u002f8cYbtWSI+joOpbvGre0GeHbt2mW\\u002f+eaba3Nzc5t5v7E96IdVReGkF0XRv2jRorrS0tJGMqjp1P1JlJM8tHLlSl5goS1JbgyGWQHdug6YkvyYBJ+5RwD4Fu2QHUBo8eLF9sbGRicfkMnmhjsaUFU1Xnqr4XC44aWXXrLPnz+\\u002fBrraqyFqZIshlSGtEwEIn3\\u002f++Q1ffvmlnXqW4MYJyM\\u002fV9QSpnyL2AMPfPBgGOPbiSEwYwMmeDWAtogPBmIMsQvjCwsLWZ555pj4UCnn4yOoP+9s7AU1RlERJIhybN29uWrp0aXlBQYEXLB6dL3PiE0EYN7sA8J199tmN\\u002f\\u002f3vfyPusri1fbdgOI\\u002f\\u002ft7\\u002f9bTmAYDv7y7kUDwP4BXv2ZoaY4wSc7DYATyLxzB+zFfO0005zMjecnwwSvr+55HgutgTECxFRqKKiourPf\\u002f5zw5QpU+rByM37Il49j7OiE4DgggUL6jZu3NhAzKhJ1HOakNFXryiK8+qrr64BEG6H5FxbsyO6QcUk+HEGo9p2I4BWJFDl4wZz6KyzzrK\\u002f9dZbjcQK9XEwdTdZGR8pt5QAzl27djU89thjdZMnT66TJCmIWOv5Yeow39nG\\u002f7dara4lS5Y0fP\\u002f991XE7BpEHd\\u002fw0hEY965XVFRUT506tQE43EeP6HqcT9rfARjPnrMMU10\\u002fLmEMdTwDwB5E1b0Y6R434MNjx451PfnkkzV1dXWtxDKdEMW6oDobXdZN8PppEU0jAdE0InI7HI7At99+W3nnnXfWnHbaaW6LxeI03msi6c3JbVh\\u002fB4uLi91\\u002f+MMfKg8ePOgkpqIT9azxMi7izvfKK69UZ2RktPB2AodJccXw9wswLesmDOAW+RIAbyDxoEkkzTSbzea78sor61555RWn3++3MzLFmKp5eCkPLeXSqbOHsRgik9BaKBRKpBrzNqhEpAQCgbrPPvus+oEHHvAvXry4Mjc314novmuCLhkTJmSIv1\\u002foWk31ihUrGhRFaeL3yiaWni6JHIm4czgcDSwN1GEZaAwH18ZciK7HAVNdN9UYAyToAx\\u002fQEwH+D\\u002fSdWyoSlMQVRX3sGMoVBfPy8rSxY8cqixYtckyePLlo5MiRwdzcXAKQgaO75TEAwB8Oh7WKioqUqqoqsbq62r5t2zZt48aNRZWVlXA4HBr0WG6Bt18QBH4PRNFdZCSKIohIMNxb+MQTT\\u002fScd955wZ\\u002f\\u002f\\u002fOcYP358JjtX5P55f\\u002fQEVFUlURQF1j7PypUrm2+\\u002f\\u002ffbMpqamHEmSwCS98XkYn9HX0J\\u002ffFkQJftyXTDKJHgveHwRgAnRD3ZnsPV7\\u002f7TBIkkRxxAAAraioyDly5Eh16NCh2ePGjfOPHTu2dfDgwVRQUGBNT0\\u002fPlCTJJoqiLIoimKocAenbPAVN0wQiUlRV9QUCAZ\\u002fH4wm2tLSoDQ0NwoEDB1J2796d19jYGHY4HJ6amhq1vLw8PRQKDUACyLLMSQIy1GbjNdYEQeB13AAgbLVatXPPPbfu+uuvT7\\u002f44ovJYrHk8z5iW0cJPTSGiChysK2toZ07dzruvPNOccOGDTkArLIsQ1GUmJ9BJzmfRB8F8EfoJZuME\\u002fdxD5Poh4Ov2\\u002fkAupcdWdDJzrPZHP5DA2EYUY0fc1UZsiwLsixLoigKsiwLaWlplJKSEoQ+cAHoA9\\u002fv91sDgYDE1WJjfDn7mogEBiZjMUNOHv63oa3EpKMQt0\\u002fbdfbZZwcvvfRS5eqrr5YGDhyYDcACQFRVNeYeewp87zj7Vzl06JDjL3\\u002f5S3jFihX5mqbZ2N71+MKTkTwDALYB+A2A9ex\\u002fs\\u002fChiQ7DaLyZAOADxK7dj5jPja1vtSOkaerSwePHWVFEkiSJ1087rF3GHHAJrOi+zMxM18yZMxtfeOGFA3v27GklombjWjkcDh+V9XecbcG7f\\u002f\\u002f++ltvvbUqPT2dby1OZHAz2hZ8AP6GqMHtsCWWCRMdAU88yXELgAq0Y6zryMEjuLpydOS8hgkmvhoJdzupw4YNq7755ptr\\u002fv3vfze0tLSUUzTBBSf3UfEYxBFcJSLP559\\u002fXrVkyZJa6MTlBI+fsIzFFAi69J5ueDbHvcHNRPdhlBQFAP4fon73LhMesSTV2jqMFU9ZtVTNIMmPNAH4cnJy7OPGjWtZtGhR86uvvrp7z549zV6v10OGoJa4IJqeJDhPZGF8L+BwOByrV6+umDFjRi1YGWQesxCnlWhx\\u002fbsHwE8Q1bjM0sUdgNlBnYPRwHMagN8B+DH0fuQDsc01\\u002fFFAzDLCYrFIAwYM0MaMGWOfMGFCYPTo0dkjRoxInzp1qjMvLy8F0eQK+o+JuIUbR8oB1+EGGewBFDWsASxGfufOnXVPPPFE6tq1a2G324v4h5IkkaqqxjZwkvMTNAP4B4DHAbSw98y1eAdhEr3zMBrrAD1d1d0A5hu+YzQUHRGSJKnFxcUtiqLA6\\u002fVK4XBYABAWBEFNTU2ltLQ0LS0tjVJTUykjI0PKysqyZmRkpGVnZ0ujRo1qGjlypO\\u002fEE0+kwsLCzPT09Py0tDQeuy\\u002fDsPTgRrejYFAjVVVBREKCJI6O77\\u002f\\u002fXvn4449DL7\\u002f8svjDDz\\u002fkAbBCT1oZY23n50KsJb0JwIsAngBQxbsMURuJiQ7AJHrXET\\u002fY5gO4B3o5Z75eVHGERIN8TT1u3LiKn\\u002f3sZ82nnnrqkBEjRoRzc3NTvF5vqqIoakpKSshiscBms3GNQQaQwo6EIGb1JyKetRXo\\u002fvMmg\\u002fVbaGPCcHs8HvHQoUOu1atX+\\u002f\\u002fv\\u002f\\u002f4vd9u2bQQgh39BlmWwICCjO9PoSQB0Cf4ydIIfYO+ZBO8iTKJ3HyJiB+p8ANcDuBxRqa6gAzumBEHAwIEDfeecc07TpEmT8ubOndsyZcoUK+JUbkAncjAYBBCJSedBK6KReJ2R2gapCmL\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QpJwrFJuDZCCPKlKlIK2pozKKWxLMnQqHmOJQWL2+vQQKHss3ZZM2+9bjPfuWcHB4+NUPUC9h0Z5qwNnaxc3ERTQ5py2ePg8REKxSpLOxq484G9\\u002fH\\u002fffop3XH8m\\u002f\\u002fnZ18cjVdHcXgZ8iQUmf9H0C6u6x5Jca53TWjtCiDCSztYJWWHzoSujnypWMn\\u002f48D56B\\u002fM01hlH1X9\\u002f7zm+eMsWEo5NECjO2dAFwOhEhWN940gpcByL9StaTrr50Z4xqtUAzRSJ3j+GUhqBqDH6yFg5BsnPKtFDYw+jtSYINVOjZBXP2OhJ1yLpWgghKJSqVKoBbY0ZLCmwpKR\\u002fpEDVM9J\\u002fcXs9QRBiScG2ff14fsiqJU1UqgFSwu5Dg+a8jjqWtNcRhprjfeNs2z9AV1uOM9Z10JBL8vjWYwyOFBEClKqty8u11gkhhDrxm2itxQv4Tr+w9AvL6Ey++6eAp7TW79RaZ09g+DnnJ3IUSQwIBqWQlpR4XsiTO7rJZRJ4QYhtC3oGJti2tx\\u002fXtXAcyeb1HQAcOj5C\\u002f1DBhLGyCaSUPPrsMf779mfZtq8fgMM9o4RKYVuS9kii9wzkUdrErduaDaOP5SsgQArIRtrCVE7Qtf8YSiVssmk3YnaB5xvBmXAdkq6DEJAveYwXKjTWp0klHaSE\\u002fqEChciUWNRehxBgW5Lj\\u002fRO4jsXLNi+J4veSXQcGAMikXFYuaSQIFUGgeOTZI2gNZ6zrIFSasYkKW3b1mnHqGEvAUky4ctqraK2lEEJH30m+wM35F4p+IRk9sgPDCF\\u002f+Zgy2\\u002fCvAFq31J7XWrRHDq2ghnTRPU\\u002f52OrAeIAa77D0yxP4jw7WQldZgWYKEa+zepR31rFxsQHH7j44wOlHGsS2qXsg7f+dbvO03b+ZDf3I7Pf0TABzrHUcKQSoxGTYbGi0hpcC2BM0NaQCKZa+GZstmZnDGaU2x7OFYZjP69c\\u002fdyR9+4V6EMOCcYtkwbzJhk0o6CKBQ9BgvVGmqTxlGF4KhsRL5ojm3sy1HMuHgOBZbd\\u002ffxT19\\u002fnH1HhklH5x7pHattCpvXdtSgM09u7UYIOGdTF1IKKl7AY88dM8M0ZwVMqu9EvxOF2+Lv0iiEUCduzgtMfzL9QjI6EEuAK4HlmEUVYrDmfwU8p7X+nNZ6XbSQVKQqTs0OixfU5RhfR6BNZIuHthyhUPKwLRnZ1kQxak3VC1m5pIm2JsOw2\\u002fb2IaVACqh6Ab0DeUbHy2SSDpvXdaA1HOufQErjie9syREqxfBYCSkEmZRLQ10S3w8plX3jxZaSdBReiyl2vJ21oYtiJSBUim\\u002fctY1b7t2JbQkq1aB2TSph134PQ8XQaJHGuhTplIMGPC+gd9BsQl1tOZKujRSCwbECv\\u002f3\\u002ffsCXb92CY1s4tkV3f54Dx0xi2+Z1HQgEqYTN7kODVKoBF5+9jPaWLBrNlp09Nc1FTUrw2CwK45i61noJcBewV2v9r1rra7XWbrw5R0xvn0oj+0WiX7iJiPHokdPtrUwqsxbG6RNissh+C3hGa\\u002f1FrfW5kaoYRveY6ri7BkApRAxZffS5Y0gh8IOQdctbcF0LrWNvt+as9V218Wzf149lSYJQUZ9Lcsk5y3jbqzfz2++\\u002fjLamLCPjZfqHCkgJyYRDe3OW0fEyQ6MlhBSkkw4NuSQTxSqlio8QkHRtXGdyT5oq3v7yN67ljddsIl+s0liXoiGXZDxfYfO6Dj73G9fWILPplEMYmjH3DeZxHYtUwqnZ9scjbaOzNUc65aCUwpIW7c1ZGutSCGGk9Bnr2lmztBmA1UubaY3MjJ6BPHc9uJfugTyeF5JOujy3u49jvSbkqEMVr83zojyB2FS6GngwmvcW4JeBu4GtWuu\\u002f0FpfEKn2wZQN2v5Fl\\u002fK\\u002fMIwef3AAIYSvtc4Br8LwgQUQKi1DpS1l3NkBpnDDe4DHtNa3aK2vja6P1fo24ALzBCWFEIyMl3lmZw\\u002fplEu5EvCbv3QJl5y9jELRQ0qJEIKzNxlGHxgucqxvnIRjUa4GfOLdF\\u002fPdv7+Jf\\u002fn0DXzi3RdhWYIjvaOUqz5aQ0NdimzGpVwNGMsbx1s2k6CtOctYvkKx7CEQJJPGaw7UuNzEzgXJhM2\\u002f\\u002fdENvOcN51AoVSmWfa66aDXf\\u002fPxbWbWkKUpjNTa1SVeB8YLxvDfVp1Aa\\u002fCCsMXou7dLenCUIDfhmolBlYLhI1QtwbMngSImBkQJgNoVlnfWUI+3hE5+7k9d\\u002f9KtUvADPCzl\\u002f8yI6WnImGmAZ5CwmF\\u002f+cSEp\\u002fBpMMsyz6PnrKz3XAbwMPA49rrX9Xa70h2qCDX3R7\\u002fv80o0fMLSOVT0cVW6TW+koMXLWJyYzNyKsskFKKUGlbqdpCsoDXAXdrre\\u002fVWr8pkurnRvdQsdr+1I5uBoaLaK1pbcpwxfkref0rNiAtI+HbW7I1CXeoe5SegTyObWFJwVnrO2uJLEEUIz\\u002fWO06lGiAENOQS7DwwwHd\\u002ftJMw1Di2xUShwvs+dQsf\\u002fKPb8fywJtEd23zaqStaCMOkjm1x1vpOQqXx\\u002fICzN3TR1ZojCFUNTNOQSyIQ2I7kgScPce9jBwBjYiil6R0wjO7YFos76lFKUfF8Xn7ucn7rfZewdnkLlhTsODDAH\\u002fz9vYBx2K1f0UoYKoSAMDSoONc2+fHjhSr5YhWBiDWvWNt6m9b6ZuDT0f8rwFZKi1BpOwyVUArFpF1\\u002fLvBnwLNa67u01r+ste6awZ7\\u002fhWH6\\u002f5Nx9OjjyUjVjuPkHZjkiZuoSWHD5DEe+2t3PEdLQ4ZrLl4dM5wIQ2ULS2o5Gdu9MjqeAqq1h0YM8vAzR6n6IRrN5nUdpFMOw+NlpJBUvYBNq9tY3FEHwJ5Dg5SqPrYtaW3KsGJJIxUvYGyiQiLCoB\\u002ftHadc8WlqSPPcnj5e9StfMczqWCilKZQ8bv\\u002fJLhzbIpNyKVV8HMcimZhuo8ckhUBr8P0Q2xIoIckXq8aGF6JmYmRSDp4f0JDL8INH9vODh\\u002fdj25Kk6+D5IUd6xyMcu2BRm\\u002fEbKF+zfkULn\\u002frgFaxb0cqH\\u002f+R2smmXg8dHKJY9MimXszd28sVbJqdsLF9BCkF9NsFjzx3jY39+B\\u002f\\u002f1uTchhEkJiIZ9U\\u002fRTAUJpLafn2wsAGYZKItCCGpzWBV4ZHRNa6x8B3wR+KIQYm7Je7Oje\\u002f2dLX\\u002f2fYXQ9JRc8YvDYnr4YeC9GIjfHp2OksBUqE\\u002fqeKFb5k3++j4GRIle+bAVvu24zr758HQnHaPthqCxhFlcYPefcKY+XlhSEoeLRZ46SStqUKz6Xn78CgEe2HDUqsRCcvrYdxzbr95ldvTUvuVKaj372+\\u002fQPFznSM8p\\u002ffvb1XHruCvYeHiJUGseW+L5CSI0VgWuSSZt8sUoyYWzksYkyuWyCT3\\u002f4SjIpl1BNZ95YWgthXn6i6BGGKvK2GwEaY9PfcPUmvvXDHYyOlwxuXpsLLcu857mbFtVi8Ivb60EbRN2ug4OESrNhZSuubSOkAfJ0909ECS9txv5XRiP5xLsu4mjPOPc9eYj6bJKHthzh0PFRVi9tmppiG6e7WoHS2NEYP\\u002fcfD9DdP8Hrr9rEy05fFAOQRPS95BT8PJikmRujo1drfTeG6R8SQhSmrKP\\u002fk0z\\u002fc8\\u002fos0jvZswHfTuT4RkwzC+UMuq8ZUlsYwvyw0f2MzhSpC6b4CdPHOTHjx\\u002fijPUdvOu1Z3Hj1RtraZ9TGL6WbhkvyAPHRth3ZBgpBXXZJJeftwLfD9l1cJBkwqZU8Tn3tMUA+IFi98FBHFvi2BaFUrWmHqeTNquWmD3pDVdv5K4H99IzkI+884KEa\\u002fHpD1\\u002fJRWct5eN\\u002ffidj+QrZtEPCtfndD1zGVReuIghV7d2mKvAxs69a0sz1l6\\u002fH90NWL2uOgCoaNHhacfbGLv7l0zfwq5+9nVIlIAgUvh\\u002fQN1Tm0nNX8NF3XECoFJaUdLbWobRRxXv6J5AClnTU09mWZXCkyMhYmZ7BPGuXt7BsUQOL2+s53jeOH4S85vL1nLOxiw\\u002f84a3ccu9OhDBRi9VLm6am2AoNllIKW0qO9Y3z23\\u002fzA+64fw9SCm6+aztrljdzzUWrue7StcYEMu8utDbXCYFGSiXNZHRiNv\\u002f3Yjz33wO+AzwZF+ScEmX5P1EE4+eW0aPQiYw+TCy9LwDeCbwe8zFjCpTCAm1piNRyI5l+\\u002fPjBWk620qZWQi6dQArNzn19fOIv7uCfv\\u002fE4b7tuM2+57vQaBFUpE7qRUtQW5MPPHGWiWMF1bNYsbWT9ylZ2HRjgaN8Yjm3RUGezYUUrAN0DExw8PkoQKsbzFYJIswhDxYaVLTTWpwhDxRXnr+Qrf\\u002f5G7n3sAMsWNdCQS7FiUSOnrzU1LO778vtmnJ+Yyf0gpOqFeH5AXTZZ+\\u002ftl5y3nsvOWU\\u002fWCGu49Yo6avnzF+St46psfpm+4QLHkkS9WGRwpccb6DpKuHYUOFSsXN7JhZSsjE2XGCxWO9o6ztLOejpYsuw8OIQTsPzrM5eetoLUxw\\u002fJFDRztHSUINT98eB9nb+jkorOW8J0f7UBKwaPPHuE9rzurpu0YjcSEDe997ACf\\u002fKu7Odw9SktDKvp3xYEjQ\\u002fy\\u002fvX38681PcuaGDq69eA2vevla1ixrrjG9UtoKtQaBtqQMo1ddC\\u002fxGdDyptb4d+K4QYueUdRVXvvm5rXH3c8fo0aTHu6zSWrdi1PJ3YJIgYlKAVsbhYseYboD+4QK3\\u002fXgXt967i6e2d5NMmHBUJgopKS0ohi5p16I5FXKsd5TP\\u002fOO9\\u002fPu3n+INV23kHa89k3XLW+Lx1GzFR587ihQCzw+45OxlCOCJbccpV3yU0qxd1sKKxY1orTlwbATPD9i8tp0lHQ2sWd7MqsUmkWXN8uZpcfCLzlrKRWctrf1\\u002fvljl4PERJgpVxiYqjEyUGRwpMjpRZmyiTKHkUyx7FEqe+Vn0KFU8vv7Xb2HNsuaaQ+7OB\\u002ffy6X+4l1wmQV0mQV02QX02QWNdmuaGFI11KdpbsrQ3Z2luSLO4o57zT3eJMmhrIbwz1nfw6Nd\\u002fhbGJMr1DBVoaMwgheOM1p1GphhzrG2fv4SED2RWwcXUbd9y3p6bqCyE4d9MiGuqSVKoBT27rZqJQifLhNZZl\\u002fAp\\u002f86WH+esvPojW0FyfpOBJQgSBcnBtTWMyRKiQJ7cd5+EtR\\u002fn8Vx7m\\u002fNMX86pL1nL1xatZ1FYXrwERKmVsMqSS0pgFmDTj84BPa60fBL4L3C6EODpl\\u002ff1c5sf\\u002fXDG6nsxsQmt9Nib0dSOmSmpMoVJKgpCaKGlDCJTSPL71GN\\u002f+4XZ+8PABuvvHsS1JJuWitMbzAkTkqPrzDfcz4KX5yrHTOFKuI2nZtNSHTORLfOGrj\\u002fHV7z\\u002fHtZes4VfefB5nru80CLKSx7O7enFdm1LZ55JzlgFw72MHEUKwemkTr71yfQ2DfuEZS3j62x+mqT497R3H8xX6hgvc9cBejg9M0DeUp2+wwPBYkZGJCvnIM10oVal4QVy5pfYztselFCCiFFkkji1NDnpkG9\\u002f54F5+5dO3UfECbGk0iVCpKJ9dICIzgTiPPsLP5zIJ6nNJGutSNDekaGvK0tmWo6u1jmVd9Sxur8fzAxKuxXtedzbved3Z+EHIRBSiA7ji\\u002fJXc9cBexvIVntrezdBoiQ2r2uhoybH\\u002f6DCDoyWe2d3LZeeuwLIEfUN5fvOvf8D3frKL+mwSW2qGyg6b6wf5ndWPsa\\u002fUxB39q9g50UwhTJJOhOTSIWEYcu+jB\\u002fjRw\\u002ftpb8lx8dnLePWla3n5OctoifIDmHTiIUBFxS9t4Iro+FOt9U8w9vy9Qoj+l3hZ\\u002f4\\u002fQz01oIQJBKK31KzD49EuZDA9Okd5Mq7XWN5Tnjvv3csu9O3l6ezcVzyedcnFt26RdxmVUhaYc2mzMDfODC76Ja\\u002fkcL9Xz\\u002ff7VfL17PdsmWrElZJ2AIFSM5qt0tWa59z9+iUXt9dz90F7e8LGv0ZhLcdradr7x12+hoS7Jc7v7qM8mWLmkqTamkfEyoxNljvSOsW1PHweOjXK8b5y+oTwDI0UmCtWIaRWhmqwRZ1smV92SximGkGgtojKtk4dCgNakLBNi1gqEhDv++V1sWt3G9+\\u002ffw4f+6DaUgqQrKQcWvpZYUiMFSLQ5hKrdNU5xjTcDP4hDgMY5ODVO39GSpa05S0tjmiUd9axf2cra5S201KdpbkjTUGeqa41NVNh7ZIjT17STSjp8+h\\u002fu5V+\\u002f+ST9Q3l+85dezuc++Ur6hwrc+LGvsWP\\u002fAE31SfwQ8oHD6zv28ecb7qcjnQctKAUuz4y388PB5dw7uIx9xUY8ZZFxFAkZ4AchhbLZzJd1NnDZ+Su4\\u002fvL1nH\\u002f64mkJQKHBEWhr0ok3FQ3ZB3xZCPE7+uesGMbPBaNPiXUmgOcwdpVhbiO9xaTtbejJ7d186wfbuevBvRzvG8exJNm0jcLCCwWOCKcVPreEZtRP8Nurn+B31z7CmJcibfm4dsBoNcWPBpfz1eMbeWKsC1soEo5kaLTI73zgMn7n\\u002fZdyz6MHONY3zsVnLWPt8ubafcvVgON94zy7q5dn9\\u002fSy9\\u002fAwx3rH6B6YoFD2kegoXVTUHHOWJVBIfGUhhcaRKmJo4ywLNWgtcGVAQoYkZIgrQxIywJWKpBUggZ2FZjwliUo18+TNH2L7vn7e+TvfRkhB0hGMezZrM6O0J4tMBAmqoUVF2ZRDm2LoUA4dPBW7xMx\\u002fHKlIW4ERgVqiNNjRpqC0JghC\\u002fMAkr9SS8xE05JJ0tuboaMmyrKuRM9Z3cOb6DhpyKRa312NZgmO94zy7p5eh0SLvff05\\u002fMvNT\\u002fDJv7qbjpYsVT\\u002fEEppfXb6Fj696Cq0FZWUj0FhCR2NSjHhpnhrr4M7+lTw4vJjDpXoQgowd4siQqhdQrBjzZe3yFi6PmP7sjV01\\u002fEFcBpuZmf5iIcQjP09q\\u002fM8Lo8cY5zcDN2NaCtknFiPtHypw98P7+O6PdvDk9m7KFY9MyiHpWJRDi4Jv05IoU29X6a+msYWeVucc4Nvn3sa5jb2UAgchjL3uRMwThBa396\\u002fmt3deRkU7hH5Ae0uWB\\u002f\\u002fr\\u002fbX872N94+zYN8Dj246xbV8\\u002fh46P0t03TtU360EIgetYuI6FlIJQS3xtESgRhwwAyFoeHckildBiyEthCw1CUw1tVmdG+fxpP8YSipQMSFiG2ZMRo+ecKr2VLK989E0MeWmkDkinXd5\\u002f47n86zefpFTxSbuC4arLhY09fPHsu2h3CxTDBJXQohQ6lEKbQuBSCm0mggSjfpIxP0kptNk20cKPh5YhBWYzFCHDfopKaBOpwAghkEJjC40jQwSaMNT4QYjnh8S18wSmcMaKxU2sW9bM+ZuXcNaGTpZ01JNOOVz3K1\\u002fh2T295FI2I1WXj6zYwmc3\\u002fYRC1Zg8copQVdrMYfy9AHrLWR4aWcydAyt5YrSTnkoWS0LWDrBQlKoBZS8klbA5bXU7V1+0mtdcvo6Nq9qmrr94ofkYZv+2EOItsZb50q30nx79zDP6CcilBzE10WPnCWDQaN+8exs\\u002feGg\\u002fR3vHcCxBNuWghUUhsAgVrMyMc23rId68aDd\\u002fuvdCfjy0jKztobRZkMXA4byGPr57\\u002fi2oE8BSGvCVpN6t8thwFzc+9XpsGSIQVL2QN1y9CceWbNnRw7H+ccbzFaMCC+Owchzb2LrR\\u002fZSmZks3ORXaEiVaEyUWJ\\u002fMsSU2wMj1OW6LIyswYn9t3Af9y+Eya3TIKQSFwubr1MF8\\u002f7xaUcozkQdR+hlriypB9hUbe+NQNjPuJaJMwTkJLSpIOjFQTXNDYw5fOvoMmp0IptLGFRopYbTdSUmA2GDMRAmyfp4eW8ManbiAfJLiy5Qh\\u002fvuF+hrw0I36S7nKO7mqWvkqG45UcY16SnmoWT1lIdK12nplXgUChQkXFC\\u002fADY6pYlmRZVwMdLVl27DdprlJoCoHDlS1H+e+zv4+nzf1mXDMQaUAYbccKQEsOleq5b2gJdw+s5KmxDkb8FI5UZJwAoRWlckDFD2moS3H2xi6ue\\u002flaXnHhKlYsapx6azDNKc4GdmFwGz\\u002fzzP7z4IyTkTS\\u002fElOuScdZZGP5Cr\\u002fymdt48OnDlKsB2aRNc12Ccmgx6ttk7SqXN3fzuo69XNF6lK7MKNtHunh0tIuU5RPvIQKNryTXth0kafnk\\u002fQTWFEkhIFr0cPfgSoqhQ5MMCTUkXJtv\\u002fWAbKlS4tklFbaxLUlWWUYO1RqsQR4S1MikSTVXZrEiP8cUz72JpeoK07TM1WVxpC4li0EthCR0xhRH4DU6FMHQohk7EPPFVGqXN\\u002fUNtmD7+J601rmNjC3USk5cjJgfMdUiiSOMJfZ0ECWWTczwyVkA+SDDspehKFliVGZvcECKqhA6+Fvzezsv42vGN1DleVPQymlehKIc2vnYRjiCRUCRliEAxODxBT\\u002f8YyYRbY9yEDHl2vI2DpQZWZ0apKHtGZo99LgC+tqj6FgJYksrz3mVbeeeSHewpNHPv0DJ+MLCcrRNt5IMkSTekKR2iwpAHnzrEfU8cIpt2+ezHruZdrz2TUGlhSRFgTMiPCCE+8vOSIffzwOjxl\\u002fx49FMpZcAu37p7O7f\\u002feDedbVmSCYe8b1GqwsrMGK9cfIgbOvdzZv0AjgwoBQ5h4PL1ng3kgwSNTrnGCL62aHbLXNlylFDJGdUcS2hKgcOjI4tITLHvBYpsysXXxjzwQo2rApamxlifG+Gc+j7ObejnD3ZfwraJVtK2jwA8JVmazrO+bohikCDvT88fN83JBH2VDLZQNRNDIWh2y1hC1STvVIoXuactAi2YatoIFCNeggubevjSWZNMfuKmZp7MSfqejjaS9kSRjO0hqmn6qhlG\\u002fBTNooynLMQUxtNAnVvh3IZ+vta9ccqcmY1uTWaEP1j7KLuLTTwz3s7BYgOHS\\u002fUUQwdFAsvRBDqovb8rFYNemifGOlmfG4LIVJiLjP1ufq8q842kgPXZYTbVDfDLy55l63grPxhcwb1Dy9idb6aqHDKpkKSlGStU+cevPcYbrtpoIjSqVqn7Jq31nwkhun8eVPifaUaP00G11mdi8MpaYQqGlio+\\u002f\\u002f3952isSxo1TYVc2XycGzr2cVXrEdqTBbSWlEKbcpjElSHD1TQ\\u002fHFhBSgY19VwITSVwuLClm\\u002fXZESMlTmAepQVp2+eZ8Xb2FhtJWEFNNSwELrZQLE2NsTE3zFn1A5zf2Mvy1DidyQhZafmsPb6Rp8fbiYM6GsGK1Bga41yzxXQGiTeW\\u002fmoGS6gIV24ke7NbAaFnkGWGBMbUCHXcy9BI+UpocUnTcf6\\u002fs+6akclPRRFIlqQM6UgUOVBspKxshqopOhJFAuS0uQu1QCuLNZkRw6yxBYDAkSHHKjlWZsa4pnMvhC7DXpKeSo49hUaeHu9gT6GJ\\u002fcVGhr1kbX6k0Nw3uJR3Lt5xyvFqhNFwIm1sKtOXQxsdvf95jX2c39TDr63Ywpbxdu4cWMk9A8vor6apzybYd2SI7923m7ddtxmllQAZYrrXfgD4DD8HJvDPNKMT4Y211h8FHCDUobakJbjrgb1s39dPU85luGrz0RVb+eON94OSVJVN3k9gsLHGzkxaPrf2ruFgsT5SISfV9lALrmk9jGMFVE5Q28GwihSKx0a7GPMTNDoVAm1hi5DfWfMYlzUfY3EqT2eiYBhQS3wlKQQugZbUAZtyQ8bDHt1TCs3a7GhccOUEElhCMeonyAfxeETk1YYmpxypyVPdiFOv1njKIlCTjKcRSOCTq56kPVFkwktiy+cvhDQmYrEoWYh8FxbdlSxn1A+cPA4BgZZ0Jou0J4oMe+madLaEZsJP8pOhpazIjJL3E2Rsn011g5xeP8AbF+\\u002fCCxx6q1l+5blr2DLeQcbycEXIlol2uss52hJFfD2zBqYQpGSAJUOqoYOvZPQddW1dEM1eMXAijSHg8pajXNF2kOdGu3jz09dTDhPYluQrtz7Dm645zYQ1Jyf+\\u002fVrrvwXGf9bDbT+z9sWUuPlyTLknlDLSPAwVX7r1GSwp8JSkLVHiXUu244c2436CQAssManWSgGBsri1b+00rjIqtEV7osgVLUfxlTXjopFAqCzuH1piHFZAJbTZlBvmk6ue4LyGXpqcCoXAJe8nKAYOvrYir7OpdHh63eA0xrKEZnVmFLQ46Zk6Clf1VzNUlVWzN3UU2mqwq8YxNgOT6+jFPG0RRptD\\u002fPd4A1PR2OYiY+MLAi0JtKz9v68ECEVnsoDSgqqy6K3mQKjJypi1+TW+j\\u002fZEkSWpAlUla+8Sj\\u002f6psY7IB6IItaAUOOR9l7yXoqJslmWHubCph2povk3CCjlezvH0eDuuFZzkODXfS1MNLf5w9yXcfHwDY36CrO2RczwsYTb2mkYHNcejQlAMHMarac5o6OW69oPkfZu6tM1TO0ztfSEEoYE\\u002fK0yf+psiBv+Z5SX42R5c\\u002fAU\\u002fCGQxpYSEEPDg04d5fOsx6tI2ed\\u002fmNe0HWJ0doRLaOHL6clMIkpbP1olWHhvtJC39aWp7ObS5oLGXlekxqjOo7RpBwgo4WKpne76FhAxqXviz6vtRQjPmJwki7328wdRs1UiqLU1N0J4oEUQqdbNTpiNRjNRrTnimcVT1VTPTHE5KC5IyoM6Js81mI8NggZLTbPSpNvLsV5qFn3Oq5JwKdW6JOrdMzqmQc6rU2T7SqbIiPV5j5J5KZsbhCMyGkbY9lqfHpjsHgYQM2DrRylA1jRttgvEcWnFcPnQ4v6GXpBUQRptiqAX3DS0FTt4kwcx3c6LEqJ\\u002fknVtew\\u002fWP38iv77iSu\\u002ftXUgodck6VtO3Hnohp442fHyqLty\\u002faRc72CLSF0or\\u002fvOXpKJ0XlFLxXvURrXUCY2L+zKrwP5Oqu54s3tiCyTAyaz\\u002fiiS\\u002fesoUgDFG45GyPty3ahZpFhdPaSIvv969m1EvQ7FYIpjCXEHBt20GkVOhQnOQ5VhpsGbJlvIO+SpZ6p0qoBQkr5MKmbiQiAovMTLEa3ZEosTw1QX81g9SKzkyBtkTJgFFm2FwQmv5qhoqySFs+SsebVkCdU0XNoAlMJU9ZBNGczFefjMNRR8p1fPnoadQ7VdJWQMoKSMqAtBXgypDmRImJwCVtBZRCh75qBqVmD3cBbMwNT9tglBa4MuRIuZ79xUYubOzBV860uZACQi05PTdEW6LEiJfCEQYz8PhYJ8Neiqzl18ywqe+hteBNi3ZzW99qjldyfPHo6Xz1+EZWZ8a4ouUIN3buZVNuyGhxJ8y\\u002fFJpK6HB2fR+Xtxzjjr5V1Kcd7n\\u002fyME\\u002fv7OHcTYvipCaFaYV9gxDim5FP6WcSQPMzyehMNkZ4N9AGhKHSliUFz+3p497HD1KfcRj3bV7bvo+zG\\u002fooBc6M6qgrFUPVDHf2ryRlhcQlw2O1fXGywMubjuOFNnIGx6kA0IL7hpbU\\u002fhZoi1a3xOm1hTL7ixgJJMk5ZdZkRnhktAuNpCtZoCFS92fynBN53LWO1W\\u002fjWErJgAa7aqTjrLuLxlMykoD6JMk1G2ltNq1RL8nnD55bc77FJogtFJbQOEIhhcKRCktpeirZGbWhyRsLNmRHojDhJFkC8qHNY6NdXNRyDBU6J6iYZpNsSxbZXDfIXQMrDQLQCjlUbGDreCtXtB6l4E+fQ8OoNufU97M6M8reQhNNToVACw6W6nnmwHncM7icO1\\u002f2bdK2P6P6rzCmzk2Ld\\u002fCDgeUgJeVKhf\\u002f87pYoF9+sjKhoyce01t\\u002fiZ7jRxM+c6h6pP0prncKo7cDkmv7SLVsoljyEtHBFyDsW74wW88lkJK\\u002fPT4aWsr\\u002fYSMoKiBuVyCiGe0nTMRal81Fo6ISxAI4M6a9meHqsAzdCeJVDm811g7QnC1RVrQvTXG8FSDbXD0YOOcHq7OisnnOBQimLfi+DLcKIUQ1KL2mFRqtQc8hqDVX1wvbwUEsyts+iVIEmt0KbW6LJKVNne6RkgBM504w6C7YI6a1kqYbG7j9xRPFGtyg5QbNbNubE1H\\u002fX8PRYB35on7QYzbXgWj7nNvTV4voSTVnZPDi8BGb49gKjvtc5Fa5qPUJZ2cR5AK4I6UoW2F9s5J7BZSRn0AgginqEDpc2H+O8hj5jq2cc7n5wL\\u002fuPmpoDodKWECjgQuDKuETVC5r4nzLFtbLFz8oBWJFz443AapRSSmkppeBwzyjfv38PdWmHvG9zQWMPlzQfoxQ6M4aJjBNNcmvvmlpoJyYdqdzXtB2eVerFII2tE60cLteTtILaojqnoS9yBp06tmL2ftiYGyJhmfLP6zKjs38UAZXQoq+aqUlBISBEkrZ8MpaHmsU+jZ9YCe3npbYTPSOOVzsoPBU74ox2oGq6BbXfpNCMeknG\\u002fASWqfR0wrsYqdyZKLIo2hhjVVlpQcoK2JZvpa+SNXNz4lwAKrS4oKHHzH8N5hry8OhiSoF7kqYQv4vSkmtaD1NnewR6EiEQamNkfKd3XZRPMPN8hFqQsnzetmgnoQbHshgZL\\u002fOV256tnaMmIQ6\\u002fFv\\u002ftf5uHZuApw+hx14ufkSOIBmcmTsoaj\\u002f737c8xOFLAtk1jhJsW7yQ5i+fVSL+A7flWHhntIm1PnieBamixIj3ORU3dVAMHawa13XiwNQ8ML8GPJJHSkqQMuKCxGx1a81KJYgDLomSBrkQBIWBlemxmjztGYvlK0lvJGDx+HH\\u002fW0ORWsOTsMfSYqqcwKWYjpQUJGUSb2mQc\\u002fsQxxj8tARVl01PNThvrVAq0oM6tsCw9UfMbxNfbwmhMO\\u002fMtRns54VsKofG1xZrsKMvS45EGBUkZsLvQyK58czTWEzYYjPp+Rt0Ap+cGKYeTpkWoBRnL57GxLp4bbydp+SdFDMBI9Uro8Kq2g2zIjlAMJNm0w3fv2Un\\u002fcCEqjKFjle5VWusz4ySXnwE+qh1gKqLaWus6rXVSa536Xz6yWuskppDEuYBS2tjmw2Mlvv3D7WRTDsXA4vS6Qa5pO0Q5mFmaa8CSId\\u002fvX8Won4pU4GgRRGr75S1HaXGLeLN4vi2hKQQJHhtdFIXGjHRalp5gTXYMT5\\u002fsSJuJBOCHFu2JQs02b08W8bU1gzogkFIz7icY9xOR30DUUHFNTgWrJkRmp0rNpHg+3G40m4QMSVqh0VZOcbkUymgflQxCqjk3oA3Z4ZNGI4UJhT062omQM4XowNOSpkSJM+sGqUQmli00436SR0YXIaeAcaZSqCVJx+Oa9sMnxdttoRj3XW7pXVMDJM1EvjLPfnPXbsqhRco1pay+cde2Wg87jG3uAB\\u002fXWrtAQmvt\\u002fowcGTDOOAf4d+AsTHbO\\u002f6bdLjBOuLiQhNCRt+Obd2\\u002fncPcYLQ0JhiuSty3aRb1TOQmXDrFtrRipprmzfxVJOV3qhwhSdsA1rYeZLUSjIzTcU2Md7C40kpImG6qsLE6vG6DFLVKawZE2GynAtkJWZcbor6ZpTxTxlTzJUz09hj7dwaX0JPxVz8KEsSOvquwXBNdSkbly4pzNRhJNRdn0VrIgYtV95jnZmBviRJtaI7Cl4tnxdsq+Ow3uO3mSQKI5r6GHb3avq11vC8X9w0v44PJnZ9xwpdCEoc1VrYf5+4Pn1BJrNGYTSFsBdw2s5CMrnqHRNZDoE7+HMT0c3tC5j\\u002f84upkRP0U6YfP1O57jfW84h2zajbMrwVSrPfOUk\\u002fY\\u002fQyGQA\\u002f4Q+IYthChrrf8GeAjD9D87pBGWlJQqPl\\u002f7\\u002fnOkEhblwGJVeozXduynGs7s6VVakLE97h5YyZ5CI9kpnlUrip2vSo9xXkMv1dCZcZEYuzjkkdEuCkGCBqeCRmChuaCxN3I8PU8rWMNpuSGOV7KkLI+8n5wVhdfvZSiHFgk53RnX5JbnhL\\u002fGN6mGz98nZLQGJiX6PLYKHR29lQzomVV9AShlsASNbhVviuMuNrF25ps5XsmxIj1OJcoxr10vNEpZnN\\u002fQR872olCqKSixfaKVg0WT5FI+YT2IaBNamxnhvPpefjS0nDrboCLjOP6hUj33DC7jXSu3UK6ka6FXKYjcd2Yul6THuKF9H184fDatKcWeQ0Pceu8u3nH9GaacsGF0GzjjeU\\u002f8T49+DNymtZZxc4MnMGWZwKTgqRMPpVBhqP6nDq2UyV3WGr5\\u002f\\u002fx52HBggk7IpBjY3LtpDR3JiRk85RPFXJflu79pp8fXYO18IHd7ctZs6p4o\\u002fSzxaCI0feXbjsJvZQHzOaehDmRLi855x45CTrMmOcE59P8wW958WQ58MGcaqe7NTmQJ\\u002fnZ0qL1CixwUtkjKIQnunIoPW66lmCdTMiLvYR9GZLNKVKJxk8jhCMeSleG68HVuGJ6nRJglGsiw9wdrsCOXQ+B9cqeivpnlyrANLnuzIA6J6AiHXth+q3WvyXSUJGfDvRzZzZ\\u002fd6RvwUOdsj51RxI40mjKqIB0rylkW7aXIreKEpzfWV25\\u002fBj+oMhHH1nf85HjmJR6Mj7lyzD3izEKIMYEfAFFsI8TVtqqh+FCP2p4kEk7HzP6vVS2mG8OVbt2BbAi+UdCQKvLlzD\\u002f4scdvYk7ur0MLDI4tqcVIpNIEWVAKHP1z7CB9asWVWb318jwOlBrZPtJCM1PZKaHNG\\u002fQDL0+NGNZ5FbZ+JDc3GIVmUKHBVa2QzzsQUaNCCgWp6GigmjhI0OJVIaM61yYgpNvrzIx2NNW3587ra+DIUPZVcFGI7+akCCJRBqy1O5dmZb0FEhSEsYWoBbMoN8bLGHqrhyXgIgckwrHMqnFU\\u002fwBNjnVM2b\\u002fjJ0FJuWrJjlk1f4Yc2VzQfpcGuUlQOaRkQaBFpL4oDpUbeveXVLEoWuKCxhytbj3B+Qy\\u002fL0hMIoQiVRSl0WZ8b5uqWw3yrZz2NacWWnT3c+\\u002fhBXnnJmimj+V81fXX0fA94jxBiOBLkYRxsjft8fxKTUH8xEbPHtuDQaInu\\u002fnESCdtUB\\u002fkpk1KmsOOWXT1s2dlLNmUz6jm8ZdlOVmVHyfvunE64O\\u002ftXMuylaHQqgHFO2ULz+dPu5Z1LtlMKZmgrfMI9nh7rYKCaod4xDVl8LTmjboB6p0zeT83oqQewIs1hqic4XqxtyRLtFGfF1QsBOvK4W0LV7hGruPV2lVOtJQ3RRjTnaXNSzvbndZ4B2Wj6KmnKyiZn+yY9doYxCTTrsyP8YGAFMBnvTlkBf7XpfpakJ2b9rrEkPr+hl\\u002f84utnMrzbq95bxdrrLdbS7RTw9PVW2BoxK5fndNY\\u002fxx3svYiJwydlVVBRmc4TCtUMGvDQ396znW73r6EwUOLfBIOMuaupmWWoC26nwvmVb+V7\\u002f6pop+G\\u002ffepKlnfWz+kxeahIIEKaY5\\u002foVrdj2tLUQYsyHT0SlrmwR1amPmw5qbWCnntb6ncAjQAdE4kULRifKvPWTN9M3XCDp2FEN9J8+aSDl2vgK6p0Kb1+0i1DN4kDDfLQxL8X3+1eRkAFSaCZ8lxa3zD+cfg+vaDtI3k\\u002fWsphmI6UF9w1PlliOvfAXNnXPaovGz++rZgi0ZEkyb9TUKeecSt2XGDW3t3piHjokpQHLnEql1kza6C\\u002f0K2Xt6rxVf4mmELoMVjM0OiP42p71PTfmhqZEPzQTvsNfbHiAC5qOzeizgDgMZ9J2v9W7ruYwM3kIIcfKOZ4db+M1Hfup+FYtFTUmITRVZfH+5c9xTkMff7jnEh4YXkKdXcWOkly0Nll5CceYAKN+ktv71nB73xpaEiXOrBvgypajvKL1MJc0H+fHg0vJpW0ee+4YV7znP+Y5Uy+ONOBYkuGxEu9\\u002f47n8v9++bmo3m5jJvyiE+OepTA5TILBRppglhDiktX4vcAcmTVQqpcWaZc386x+9jrf+xs24timhfLItxalMx+f1VvEiFyjyfoLXd+7ljPr+WeGuSgsyjseP+pazK99MvVNlxE+yMTvMP5\\u002fxQ06vG5hTEoOxg10ZMuql2DLWhhuBZAIlaXHLnFE3aGLBM7yn1gLXDnhweAlJK2BlZnTGtNe5KE4U6atkDRBET75bwvKpj5xJs0kPEfkHX6iNHlPW8uZ1nnEeGqdXXzXDhtzQjLaLwNjEK9JjZG1z7zE\\u002fwZu7dvOBZc9RDGZmcoi\\u002fa5U\\u002f2XMxd\\u002fWvpNGtTMs+C7XkJ0NLeU3HvlnHKYC873JW\\u002fQDfOOd2\\u002fu3Imfz9wXPIB27k4BMRmMacbwtd0+RKgcO9Q8v44eByOg6eQ872SEhFqCYLesJLLNH1yZu0ZQnyxSpXvGwlf\\u002fNbr8J1rPic2NR+GvjVSDuftsinyf0p9vrdmM6VFqAiuB+XnrOc3\\u002f3AZYzmK1ENdD3tCEJFECpTI\\u002fxFHEGoCJQy9cq1jhIgghrcdTYygBbBLb3GZhrxUlzefIxvnXsbp+UGmfATczK5xhiYCdvny8dO40i5nqQ0zpayslmfG2JxKk91lgQOjQCpeHKsk63jrfA8871jrWEicBn1E9FmFnnco\\u002fh2g1OJHESzz4NG1IAlL5Tmq7rDJLa8r5qZHdYrTEy6K1lgcbLAmJ\\u002fk9Loh\\u002fmTDg5Gne+b3CbQg51T5Xt8a\\u002fuHQ2TRECT0xacCVIY+PdjIcZcHNNjMGF2HKb31i1RN857xbuKipm1E\\u002fgdJM22hMCM444yyhydkejU6VfOByvJzDjtbR1PUfvlTrPzA19qfeWwioVANaGtJ84fdeQ8K14xa+sV0+BrxDCFGCk+vYzQSIDiPJ\\u002flmt9bnADUBoSWGFSvGrb38Zz+7u5bs\\u002f3EFjfarW3hcgnXJOQja9IDLbP1UviIoCulzWfIyLmo9TnsFZA5M27L5CMw+PLKaqLN6xeCd\\u002ftfE+ElYQVYKZmzlAk3U8\\u002fmrvhfzl\\u002fvMjbLz50EoLzq3vJzlLWAyMU8oPXPYVG6i3q+jQnhVeOeMYtMCSscd9urNRa0HaCqaEl+amSmid0kyYi4zUPTUCD+IaeJYJsc0SdjSaikV7skhrosS+YiN\\u002ftekntLkl8sHMdrnCINgOFBv5vV2X1tJ\\u002fpxpdceru\\u002flIjO\\u002fItXNJ8HD+YOWQKZlNSCPJ+cop0P4O\\u002fO3huJN0nbfeYjD\\u002fAPDOuxnvi3TVi1g62z4eMhmTqy3teGHeVrXXA\\u002fevfuo7Vy5oJlcYyCySW5h8QQuzWs5SgPonRI3s9zq19P7ARWAMoKYzv\\u002fa8++Ur2HBxk75HhqNOJwvM1F2+u5+WnJyhVwlrfrOdLSkPSFfzwqTyP75wgkzBKxzuW7CAhA\\u002fLhzKqwAaT4fK9\\u002fFYdK9Xxm3cP89urH8bWkcoqSSabwoiZl+fzJnkv4\\u002fIFzyEa13eI4sSNUzT6fyz8w4iU4WGygwalSDJ2aY24+FHuwB6tpSqFTSyCRwiz6BqeCI9WMSRhT76IQeC8ytyJ+\\u002f\\u002fmN21TE6a1mYQYQ0OR55v2Wpce5tOkYL2s6xkRUdWbGc1HkQ5ff3nk5PZVsLQZ+IkkBlcDiwZHFXNp+kMB3cef43iIaRyFwsIXm46ue5NLmY3wmst1zVhVb6hmfdVJEQUClqrjy7DouOT1H2dPPa3M\\u002faWxCo3H42r0j9AwWcGyJJSXD4yV+75cv49WXriUMVdxPTmF4+C+EEN8+0S6fSjOmOMVZOEKIIa31TcADgCsEWiktmupT\\u002fMMfXM\\u002frPvpV\\u002fCDEtiWWpXl85xibV7azqkNSruooJDd\\u002f0hpsC8aLIfuPlXAtQTEwIa2rWg5TngWJZsAPiqFKltv61vD5TT\\u002fmIyufohgkiBMvZiMVgWASVsCndl\\u002fKPx06O3J4TXqKPWWxJJVnfXbExO5nsc8dS7G\\u002f2MRYkEAhOFquY21mZNZqpSeTUf0HvDTl0CFRU9OpgWXiMOFsa0lgVGRfzZHGOo9x5Cxv3v6W2FnWW8ng65Pzu2OSwtTn+\\u002fDyZ+hKFCj7iRmZHExOQcap8O1j6\\u002fl+3yq6ksVZNzilIWUFfLdnLVe3HOb8pm6KQRKtmfPbm6oyTJPu\\u002f3jobP7p8FmzSvepJIAggJYGm8vOyFCX1uTCF26rK6VJJW1ufbjEsf4iSdcw+ehEmddcuo7ffO\\u002fLTTTKMHksyX8I\\u002fH5kl8+aCz8rK0b2uiWEeBL4RHRuzV4\\u002fc30nn\\u002f3oVZQqPiCwLVOw8av3DDM4YYCGXgD+8zi8ABCSJ3aXGRwPcG1TLfVti3aRcyqz1gczoI2QnfkWPrHyST6y6ikKfjL6l7mZ3BYKWyo+ueNK\\u002funQWdQ7lRqTQ5xJZrMxN0RnsnBSpdOp9xIyZNtEC76yGA8S7C80zggAORX1VzO1XHLzDhH81algMxlyO5HijcmPMs5ejOqesefnjIvJxNKzeErOGfxTCFanx3BmwLWfeL9y6HJ9+35+Z81jTAQu4Sybdpx+2lPJ8uanb+ALB8\\u002fDlWFUlWZuaTNVugP85prH+M65t3BRYzejfrJmus14rQQ\\u002fVFy0KUt9xlQgDsLnt+bjo+prHEfyyK6Ae58eIeGY3nfFis+aZc38v9+5zvTRi\\u002fZ9DJMfZbIwC3PVrJtzFqY45\\u002f4Fg4e3gMCK6ra947Vn8r43nM3oRBkpJEnXYnCkzK0P57EsY0tHffrmddgWFMohW\\u002faWSDiCcmizJjPK9e37qIYzZ5iZj2WcQWfWD\\u002fC6jn0U5hk+i9sIfXzbK\\u002fjPI6fTEIWuTra\\u002f4ILGHpM8MdtcoVFKsrNguqx6ocWeQtMsZ89+Dx2VZpoaQzfquMlcE3IGd+zUewgTN65tis+T1+NrUlG7p\\u002fn4XHTEDENeqlZIY67HxmbFqe6sNCStgM+sf4jPn3ZvDb48c6ahcVaGWvKHuy\\u002fhnVtezeFSPTmnUvOoz0VxqmveT3JWwwA3n3s7n1n7CLZUkQ9h+rYkAM\\u002fXdDY7nLs2RdVXRP08n\\u002fdhQsiCY4OC2x4cxrFMyCwINY4l+cLvX097c9Y0wDTMrDF5Ke8SQvRgeh\\u002fM6fmdj3Idg2k+DjyJUfdDKSVaa\\u002f7oo1dx0ZlLmChUEUKQSkie3TfGj7aUSboW88XWKA0JR7L9YIW+0YCEDaXQ5o1de2ivSdK5yREhJeWcUk0OI1ik0oKPbL2G\\u002fz6+kSa3UsNATx+XSW45t6EPPYd9bgtNMXDZkW\\u002fBESGWUOzIN6OUnLfNJoQmUNZkaC3+ezSOJqcMqDnLmMThuViivxCZHsenkzKYIcN8ZpKYQg391UzkW5j9qvlqGiZ0Jij4Cd65ZDtfPft7LE7lmQhmjp4oTPJLg1Plh4PLed0Tr+fm4xvI2h62OJVvY7p018DHV0\\u002f1zCeNmRcLTQGhgks3Z2mut\\u002fGDFxZZ1hpsCSXP5ps\\u002fGaFS9bBts84KpSp\\u002f\\u002fNFX8LLNi037aLOQYmn+W0KI+2dzvp1Ip2T0WB2I3PbvAEYxXXSVBtJJhy\\u002f8\\u002fmtoaUxT9QIQgpQrufepEbYf0aQTcl5IOimh4ime2F3CEiafuiuZ501de6JaYqe8BTr60HNRqE1d8qqy+cBzr+RbPeuiOnIzOHkw8eFV6XHWZEfnyPE2YIu+aoYjpTpsqbCFZm+hiULoztM+j9Fzkt5q9qSFLIFGp3oKsIKx3ePmDS80kB57suct0TG2cDl06KumTW7AC7cappEgBtYkuaTpON8+9zYuaupmbBatLQ6L1dtVRvwUH9l2DR\\u002ff\\u002fgrygUNuSkLLXDQp3ROcVT\\u002fAzefczqfXPowlFPkptQscW\\u002fD03hJ7j1XIpmTNO\\u002f78SGPbFrc8nOfYQImEK5FCMDpR4V03nMUvveGcyPkmwODYLeBrQoi\\u002fnS+TwzxxuVPANHsxResFoKUQOlSK1Uub+evfehW+H0YOEAFa8e37h+gfB9eeewKUhoQt2HOsypF+j6QDhcDmte37WZEZpRLOXXhwvqSiggMTgcsvPfsq7uhfNSuTm\\u002fc2jq3TcoM0uaWo+MRMoT1TQHJHvrUWKrKlYshLc6hUjytPnQkWx9ALocOIn4y6rEb3xxSDqHcqMMV2n4lkhKkP5hGCm+2dJzPYgmjcp557U3rJZqCaATm3RH8hZAvFROCyNDXB18\\u002f5Hu9esoPxIDHryEItcUVI1vb40rHTeN0Tb+C+oaXknKpxNs1LuutazfdPrH6SW867hYuaehiLbHdHag72evzr94b5wZMTxinsiPlrsUqTSlr8ZGuVp3aNkk5IhJDki1XOO20Rf\\u002fqxq1G6hnyLPexbgQ9HWva8mWLefvEp9vp3gD\\u002fH7CyhJSVhqHjNZev42LsuYixfRkYtgMfyVb59\\u002fzghThQ2mOXeQKDg8V1FtDYlkxqdCm9bvHvWFknPlzQmR\\u002f14Jcd7nrmOewaX0eSUZ2Xyqddd3Hz8FOcIkJod+WaTKonGFiHDfpIDxQaTWXXKT2J8BgPVNKXQRkrjWovVdgOWqTJTVZqpYzVagRXNW\\u002fyX50cmqyskGZk38yHTCMNg9F8IqahU1VxkRza6jeJvT7uHP1zz8JzXKERk8lTYV2zkpi2v4S\\u002f2XgiYLrDBKRx1QM3fkPcTnFk\\u002fwM3n3MYfrnsYWxjbPeMatMGdj0\\u002fwb98f5siAZxiWUwk3TSoh2X1Mc\\u002fdjIyRdY+B7XkBTQ5p\\u002f\\u002fIPrTd92Pc3JlseAYsbBCOBTvkD8HvM9MaJQm+J3n8K49Wv2eqg0v\\u002fO+S3nlxWsYy5cR0qjwe47kueOxIgnXrnUQnUpam13wcF+Vfd0eKRfyvsNVrUc4va5\\u002fVoDM8yWTfhnyV\\u002fvP596hZbScUPb5RIrV6KYI9joXSMUAZRx25lum2aeBkvN2yBlklomhl6P4e+3fIpvZlJqe45PpOBxoJPoLS6PSNYke17Cfr9kUZ7HpWSITs5FCkLW9eRW7kMJsKMXQ5ROrn+D8hl5Kp1gjceKMJTR\\u002fsf8C3vL0a9lVaKbOKaPnscFMle4g+MSqJ\\u002fjuecYzP+Il0EhyScGhvli6542GZs3M7FqDY8FIXvKt+4ZRKjChaA1VP+QvP\\u002flK1i5vIVQKOQmKkcAHhRDbIu36ecEun9daiD1+0UPeAxwHLCFQQoBtS\\u002f72d1\\u002fN8kVNlCs+CEE6IXlo6yhP7g1IJ6yZ7XUBj+8s4fkKLQzC7Z2LdzC3kvr8SWl4c9ceWl1TT33udzWe\\u002fLWZUVamR6nMUuQidsSN+wl255tJWLEUNA6\\u002fbflWs0mckllMDH2wmqYY2NOccVobmGeDXTXdV+YCgwjTJsnY6M9\\u002f9mINImkFJK3wlA6smGIwTE8lG8Xw5\\u002fdshSBr+XyzZz3PjbeRdSqnDokJTajN5nJx0\\u002fFaY4c5nxOd0+iUeWRkEW948vV86egZpCw\\u002f8taf+j1lFHef8JOcWTfAzedOSvdxP5LuWnPHYxP8x50jlCraMPsM49fC4VsPjjM8VsG1JVJIxvJlPvGui7jhivXGLpe1eLkN\\u002fG2USm7P1y6fNvbne0Fkr0shRC\\u002fGOecR2etKKTpbc\\u002fzd715nvHUmHIBlaW59aIijg9NtGA04NnQP+ew8UiHtCgq+wyVNx7mgsYfS82wCOOeLRs6il7cc4e2LdjExC+yy9p6YxXF2fT9pe+aSwBBpCiJkf6mRIS8VhcUiu10oDhQbGPOTtUy0uUnQ70Wgk0k2J0SaFFWnipolc2\\u002fyDjpi9Bdu8sSmQmLexSeIGmXoiNHnVzTTFGn0eGy0k1\\u002fbdhXvfvY67htaTs4pn9JpZsoXS17W2DvFl3CKMRLV2Lc9CoHDr++4gl9+7pUMVNPkIm3pVN9IYDb2QhhL9yf5znm3cOFU6Z4S7DxS4YndJRL29OQvpTVJ1+auJ4rsPDhBKiERUjI2UeGai9fyW++7dKaMtPuA39IvokHEC9LuIma3hRD3A79DZK\\u002fLyF5\\u002f+TnL+f0PXl4LudlSUK74fOv+Ucq+jS1j\\u002fDDYluCpPSWKFYOkE2jesXgnrjV\\u002f+3D+A4dq6PDRlU+zMjNGZZaKKJPvqbmwqYe57FwFCCtkZ76ZiaizavwwRyqGqmkOFY1Dbi4PtkCDElHl10n135QtFjTY1VM69eI38V50eM3k46dnqK46O5nQ01iQMKWfTxFi05ga9cNemt\\u002fceTkAo16Sd215NV85upmc7c25OIUwiMV12RFTfio8dT+5mMIIQ1Fve3yndy2ve+L13NW\\u002filxUeHM+0n0SVWds92+eext\\u002fsO4RbKEIlCCdMB758ZLCil5EKUgnLJ7eH3L\\u002fs7HzzfDGyiWN\\u002fP3vXYcTZYZGWrMF9GLi5T5Gm35Bku\\u002fFVMOIkXOfB76O2XkCaRlm\\u002f8jbXsZbXnU6oxNlhJQkHcnRviK3Ppw35ZqVxrYEg+Mhz+2vRJ52h7Pq+7my9cis1V1fDMXJF12pPJ9Y+fSssXkRn5fMm7Y94eyxcImph7Yz3zyNCY1KrxjxkxwqNSBnKXVUe2Zke\\u002fZWsycBTmL4qzUfrUCY8sgn9l17IZR9Aei4OJY+tU3yzGQ6w35698Vsm2glZQU1tNwndlzJn+y9eG4TBbOhtSaKnFE3MGshj9mfbjLTGp0qx8p1vPeZ6\\u002fjD3S\\u002fH0xbZqHjGfKR73N461IJfX\\u002fsIH17xDPnAIWFD\\u002f6jPjsMVEo4gUJqEC8eH4LsPDGIJjZAQKIUlBX\\u002f3e6+moyVn7HLz6Ng2f7cQ4tgLscun0gtm9GhniZNfPghsB2wxBUzzud+4ls1r26POKsZef3LXGA9s80glLGwLntlXYrQQ4lgQKMHbF+8ia1fn5RE9keazLcTAljd37eKK5qMzZk7F6LJ1mVGWpibw1MyFFOKQWCV02JZvnSHubK7akW+eNRlm8kyTktkbgWWm\\u002fl1pQaNTwRHzg6+8mPDaVKqzq1hRG6b4kFMP4v4nZrwS47Dq9zKml90s9w21IG35PDXWyXf71tVy7JUW2CjSls8\\u002fHDqLreOts9btn0ovbz4+J2JxrquDyB+RkCF\\u002ff\\u002fAc3vjkDTw11kFdlIs+r0q4UTpx1Uvylq7dLEqaVGZLCJ7YXaLsaRwLKp7NN+8fpVzxsS2BQFAoenz6I1dy8VnLTrTLLeD3hRA\\u002feqF2+bQxvpiLI2YXQogJ4O3AhPl\\u002f42BvyCX5wqeuJ5N28X0FQpB04M7HhtnfqwkCzZN7yrgRCm5tdpRXtx+I6oY931zu+dmS8bm2VPz2msejMMv0a2Omu6CxB0uGcyDRzH1ioIxba58UP8dsLLsKBiE3m4SNASfF0GWomkIyVRqabLQmt2Ik\\u002fSl3M6PSnipnfT5kCc2In2LMTzDuu0wELoXApRg4lEKHirKjZo5WbdMrhzb91TST6aonU9xFpcGp0OiUo03JjNXkH2gCLdmRb0HOYa4IYYqAnlk3QItbrjXZmEqeisemZoVFq0h6NzkVnhlv501P3cA\\u002fHDynhiU4lXMQ4rLQNkujCsXFwCHpwpF+j33HK2TTDrc8nOdwT4GEY+zy0YkKb3\\u002fNGfzym84jDBXSmuZ8+44Q4nMvxi6fNr4Xe4MpYJptwEeie4ZxH\\u002fMz1nXwZx+\\u002fmlLFRyAMhtcPuO3hUX78bJnhiQDXgnJo8eau3bQmCqbD6PMYg4ocYjGK6lQk0ZQCl\\u002fMae3jXku1M1Io8TN4vJUPOa+ybM26tNDgyYFe+mTE\\u002fOaNqrTU02FXjaZ11aMZmHPRSlFRsskQ2OrHqXpknECUqOvEixLkpZGlxfcd+PrPuIT60\\u002fBneuWQnr+vYxxUtRzinoY8N2WFWpMfpSpmGFLVtRWBqvM8B7JHRZrQ8PUFrzKAnjDfUJm9Az5H2akwxm1WZMdZmR6a1e4qGQlfK9HEf8VMUIxU71k5OHF8Q9Z0LleQPdr+cdz3zao7EePlT6gaR+aUkb1u0u7aBqVDzzL4KP362ypO7xkgnLYQUFEpVzt7YxV\\u002f8+rWmFbOUiEl46x7g\\u002fZG2\\u002fILt8qn0knRTnQKm+e+oWMXHgMCypB2Girddt5lnd\\u002ffyLzc\\u002fQVN9GteB\\u002fuEy\\u002fSMVXMvAXRcn89zYuRc\\u002fdJ5XPm+gBVnbZ8RL8cGtV3Nt62E+sOIZCl5yTqaXQuGFNh9Z\\u002fgz3Di7jcKkBVwYmvzi0WZoeZ312eM5qr4Y0O\\u002fPNlEK7ph3U5gVNgGRDbhgxh30dN20YqqYpnuCb0NF9Gu1K7f9PRS+2jJTESMKLGnt4efMxiMKFCmpJP76yKIU2FWWTD1w++Nw17C024QhFdyV7ypBiqE3p7OXpcbbnW6aNV2PCidsnWqicIkYe919\\u002fWWMPj4wsqt3HaEgOH1z2LGc29vHDvpU8NtrF7kITg14aS2hcYTqzxpuUjswHKQxe\\u002fu7+lWwbb+XT6x7hjV27qUbay1wbWDl02FQ3wNWth\\u002flmz3rqXcWe4x67jg6RcARCCDwvpD6b5Au\\u002f\\u002fxpyaTfystduWgRuEkKMPR+I66nopSxNGye\\u002f\\u002fCamGcS05Jc\\u002f\\u002ftVXcMnZy5goVJGWkexSmDTQYmjzus79LIs84fONngdaUmd7HC7V87anr+eHAyv47N6LuKtvNSlr5na4MQkMAi9j+2TsyfCMIIa9Dte6qcx2Fyk0gXLYkW+dMe0yLtG8MjM+53sYSagZrKYoRgt7MrhmgD6TqLhTz81c7ZjmKxoEZsPI+wkKgUshcCgFRl2vRupwxvZpcUusy46wKFnAV7IWSw\\u002fnkMTxOIRQbMgNn9zfPCrUeLhUT5+XxjmlJiO4sLE3Om9y\\u002fH4oeWqsg\\u002fMau\\u002fn9tY\\u002fy7fNu49bzb+ELp9\\u002fD6zr20ZksUgwcxvxEDeoaz32oBfVOlWE\\u002fxQe3XsOvb39FLZlmPk66mxbvNLXxhSAMQiO1ox2l6oX85W9cy6bVbUZlnwylSeCjQoinX0omh5eQ0ackv\\u002fiY+HofEZhGa0i4Nn\\u002f3u6+mrSlDuRIghYhsYUmTU+EtXbsIn4fnNG6L+9xEG2956rU8M95Oe6LEeODyxaOnn1IriJsJbp9oYedEc4QCMxeFCC5u6maujiixTZoPHHYWmo19PuVkA+s1UN7FyYmo4cOsswdCM+Blonzu6WaEG9WKm8uMmEqVcGZFLfYSzzdkJjjZATdVgQ21qNnAzQnT0sgWit5KxqjR83jGmszoSefFvo2xwICQTKbhzNdLofFCi025IZYmJ6IusjrKOgx4bLSL48VGyqGNr02f9ncu2c5\\u002fnHkX33vZd\\u002fivs+\\u002fgIyu2cGb9AAIoh5OO1zDacHK2xz8dPpPf33Upzgl+mJnGUwodLmjq4ZLm4xQCpxZek1IwMl7mV2+6gDdcvWlqpZjYLv9nIcQXXwrn20njeilvNsVePwL8EpEAkVLoUGlWL23mb377Vdi2NGB9YYr1Xdt6iE11gye11JmNQi2ocyrcP7SMtz19PUfKdeRsDz+CfV7denhOVRmilEYR8sDIEkrKruUbB1rQ4FQ5s65\\u002f1rRUmATKHCg2MlhNYcsTJahxKDU6FZak8qbe+GwFDNAQ5aHLKYxoBMAkzn2+uIKZmEwAAdLARefZV+1UFI9PyoBWt0QQ2b+FwGXIS03DA8x4rY7aNDmVkxyillAUA5edhWaYI1nWhNlMKPS0uqGoMUZc2iukr5Ll2fF2UlHL5VI4qaW0uiVe2X6Qz254gFvOv4Xvv+zbXNlyZBqkVmPU+fZEkR8NLmdXoZnUKeYv9hm9Y\\u002fGuWq83KQSFss+1l6zm93\\u002flcrP+J8tBWcCjmCaNc1aKeaH0kneVmGKv34XBxEtAW1IQKsV1L1\\u002fLxWcupVDyQJhGd+9YsnNeu7+J5wlyToXv9qznXc9cx6iXIhOFYIIornp5y7E5tYM4xl0OXB4ZWVTDp5v63zYr0uOszY7MCns19xBIK2RXoYnxGZBvQpgNaXGqQGNUEmrWd4xAMSeG1sA4\\u002fFypaLArEfx19vmJt4fKDBVgBaaa6B\\u002fvvYj9+WayTnXe8Na5KH5mq1vGjqR+MXQY8DLYcvZYegx4WZaaoMmtEKjpyVgaAyHeMdFCMEtXnslzAaG5uOnYtHm2hKaqLR4cXoyOHJxySpjQ1xZ53yXvJ0DD6Y09vH\\u002fZ1hnvLwWM+glu71sTRWLmlurl0ObKlsOcUT9AKXQAhWNLPvORK3FsaRo+TNpXR4B3CiE8MzcvMYCEn177GB15DPfHfzAOB8m+I8M8s7uXXMom7ztc2nyM8xt7KIVzdyaN\\u002fyXrVPn3w2fx4W1XEypJwgoIIwdKObQ5r6GPVTM03JtORkoejFsuWWEN6ukryVn1\\u002feTs6pyZbXE1mB35lhnDb7FZsjYzHHU\\u002fnfteoZb0VLM1CTD53pHq7pr6Zae0sjVUw5OdcaEW5FzFrolG3rnlNRwpNRgP84tmdg1a0JYo4krj2CoELgPV1JxaVaw9NbkVFiXzJ9XKV9oU29yRbzFVa5j7XkpLzmnop9Gp1rSD2Dx7dLSLcS+FcwJoKTZNLKERQlPy0pxVP8CG3PBJ68d0hQm5o38lI9WUQTrO+W6SXNRwJFASSwqqXsCT23umnhpGpz8ghDjwYkExc9FLzugRg8e61m\\u002fV\\u002fhwpcf91+7P0DxWwHQuJ4qbFO4wjax57mCMVf773Qn5312U4IsQW6oQa34JXtR2as+QTmAVgyYCHRxadFBYTAi5s7DlleCqOm24bb8Od4XmGeQVrsmNwivFITN34oWraLK6pMfSoiEIyslPnZaOr6Ta6EOCHmvYmhzdelGDHeAPvfubVHK\\u002fUzYnjnw\\u002fFKnirW8aJSnNVlEV\\u002fVON9rhGbdk4h67MjMwB8DEZhsJrmYLGBhJx9szQ91m3WZUdZmR6rRUriWvgHig3syLfMCUMWmM2wyS1xZcvRk9pOK0w\\u002fvj2FJu4fXkrS8qONd2aSAqqhy2vaD0SdXi1sS\\u002fClW7dQqQamsq+q9Td8ndZ6RaQN\\u002f1SE70\\u002fjpjJSPa4FzgG0UtqypKR\\u002fqMB379lJLuOQ9yzObujnipajlIK5VTOlJWnb5wsHz+FP914Y4aD1NE95VUkWpfJc3HQcP5ytEkw8QE2gbB4aWVy7Prb12twim+sGCU6h+jtC0VfJcKRcN6OKWgsfpcaZc7FHnvmhaopC1PRx6qYTakGjW6nZu5pJuzGcdsjoEBGjn4D2A\\u002fwQLjuzjrdcnGDLcCPv2XIdfZUsacuPyk+J2j1ipFqcJ35y1Hn6GNsSJeM0i9Tj7iiWPpcGYlRuxdrsSJRdNj2s6AjFmJ9gV6EJGaXMzkaBFmTsKuc19k6LlFhCUQxdHhxejDyFIy3WDF7ZdpCsdXJpaSPBBN\\u002ftXUs4h8\\u002fFnGs6wLYlC7ypaw+lwCaXcti2t48fPrLfoMrMBMV9zH95ymNecvppMHr89h+Lfqo4D\\u002f3mu7dxrG+MpGuw2Dct2knG9qIEjNlv5siQ4WqabxzfQM7xoiqtk1fICIZ6QWMPy6JOp3PVFneiiqFPj3XUwnDGZpSszoyxIj1uurHMZp9rYz\\u002fuKTYx4idPgqYKTC57o11laWrCbBqzvKCpGaYY9NIUanDcyQ1MYeCvdtT1xRGmL3jG9mstfnNOlZxbpt4tY7mR7T2DN04rKFcVV5xdz5suSvD4UAvveeY6BrwM9ckSObdCzi2bn06VrO2RsX1SMojq4MUOqumbjacs6uwqGcuPEkY0PZXcvBpNgGR5ejwyI05cjiZzb2ehBT3PpXphY880DU0jcITikZFFlMO5O\\u002fXEqcmb6wY5o37gJPXdVCgKeGhkETsmmklJf24PPOCHFjd27qErWaiVIvvyrVsIQ3OlUrV86fdqrZuZhJW\\u002fpPSSAGZiiuB6Smt9PnAVZm1JKU3PqK\\u002ffuZV00qbkW6zPDfPq9gMRIGL2eyotSdgVbu9bzaFyHVl75vi4EJpXtR2cs5JNfD\\u002fX9nh8tJOBapqM5UdFBU1llgsae3ClTzWYvWdaXFFmd76ZYuDQ7JanYfON2m7R5JbpSpn48qTtbdJ046YRxgmoGPaTFAKnNp6YQi1pcUs4VkhFOUwESSZ8l3E\\u002fQT5wKCubamhTUZYJISnJrnwTrpheRNLIVrOJVD3FVec2EIZj3PZUO+995jqub9+LLRQZKyBhhaSsgKzlk7F9stFRZ1dJWSFSKCw0QigQCtC4MqQ9WWRoIoUlNN3lHIGyjDYQSWvTdWRyTqUwwJvl6XGanAojfgLnBAxBQoRsHW\\u002fFD62504oF+MrmjLpBupJFhrwUTmTaJWXA9nwLB4oNbMgOR4Cik+8Vq+85t8K1rYd4ZGQxgsnWVLETd9RP8r2+1WyuH0CFs5eDjnvSrcyOcn37fv7tyJk0ph0efuYoj289xkVnLSU0HzsE2jFZap9\\u002fqWCvU+klZXQwHkOt9UeJSkPrUNvSEnzvJ7vZfXCQ5roEQ1UDd21KFJnwk3O2ShKYyqi39q5hJjy7KfVssSw1zgWNPXinbINk7N6HRhZP9iiP0F6uCDinvu+UypMQGhVabJ1oNWr7iRcIw6Ar0mO4IqQShe8kGkeGRjpHWoAf2iA1fdUcVWXVGv7BZI27+waXcMV9NzLspaiEFr628bAItE1IpLJHKSaWNF1WZrJHJ+WxwPMVV5xdx57jgzw10Mr26hKCUBOEGkKFJRS2CLEJI39IiENAxqrS7FZocSu0Jct0psq0J0q0Jko188KK4LwKQZ1bNg9XVi3ZJi7xFOPyOxNFWt0SA14KV0ziGWJt53Cpnv5qxgCYZtESDKxWsiQ9wYbsMPcOLcW1zRzYUjHmJ3lkpIvT6vpRoX1Sx9Upn44wtLmq9QhfOHSOSWWGKZuP6Wp7R\\u002f8qPrji2ZoWM9uSERg8\\u002flsX7eKb3etRWHiexxdv3cJFZy2Nr4ttnA9prf8FqETdjV8y7\\u002ftLxuhRMYpQa70auFEb\\u002frGkFPh+yJdvewbXllSVZGkqzxs69+KFc5dmNg4Qnx35Vh4dXUR6BrSbFMb59PLmbrpShVn7a8Ok3TfqpXhsdBEpGUSx8jh9tcDm+sFTbhYWJv6\\u002fs9Bca5s0bUyYAo2b64Zwk0VcP0mgLCrK4Ugpy9FSju5yhu5yjkPFHEdLWQ6VGqh3vGmagQYkIXmrnlxrO4tdSCcEmYQgkzQ5z0nHFPNwbXPk0pIfPFXk\\u002fm1F0u70QoXaCN\\u002fIFjWMpLWgOa342BvSUQYhhKFpplHyNGVPU\\u002fag7CnyZU2hrClUNXsrmqfKmvERTaUa4uLjiLDmje6vpvnQM1eyqX6ERakCS1IFlqYnaHHLJGWAJQPQgkBZ2EKxJjvKc\\u002fnWySUPEKndw36KPcVGlqQnqPqzS3bTbCHk4qbj3D24AoHH5K6teWh4Mb+0dNuc+7gxA02e+9n1\\u002ffxocBlNbhVfyVp4N2kF7C02cd\\u002fQUm7s2h314pvZJIgLnpxRP8ArWo\\u002fw3d611GVcfvTIfnYfGmL9ihaU0lKaLK41wBuEEF99qaX6SynR4\\u002fn7EJASglCF2pKW4MePH+TpnT3UZ2yGqw7vXbKVpelx8qdoKWyaDiq+17+KET9Zi0dPOwfjjb+27eApBxjXaH9odDFHS7laIQcpDFxyY3aYzmSRUjC7fa608b7uLjQxUE1HedcnjskUnSiFDt88cgbbxlo5WKhj10QDg14aDxcPF8eWNOcE7S2SRUHAgW5Ta682oQI8H1Y1Cn7llVmDJpQxgzJZqSf6XSlIOJBKyhl9YDq6pxTmZ6DMIaUglbAREpxp55i5EdHf4r+HShNG0t8PNF6gGZpQfP3HY+RLUSMDafGov4nbD2pQIa72SODRkSqxLjfG+twoa7LjLM9McGZ9Pxtzw4TdcpqTdVJVNgi5q1oPn\\u002fIb6yjMVmdN1tcz3yxky3g7vZUsHYniSX3rT\\u002fx+llDc2LWHewaXMeolJvPl440SuKV3DTd07DtlhWKjQ2luWryDO\\u002fpXIS3JyHiZr9z2DH\\u002f28avjq3V0\\u002fJrW+hswY9T2BdNLwuhxP2atdRvwbuI1JU3pnP+8dQtoTaAtWtwSb+3aNaeDKiZHhIx4ae7sX2Vwwyf8u8Q4T1alRzm\\u002foZdqMLtKFpMQZmcvhTYpKyDQIpLAFhc29USeWQNwqL0fTBYR1GDZPgeKDQx7qaiN8XRHUexx\\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\\u002fFKYXlqXnJ7hgvUpcmlJwpG4jkRK0+EjVGYTVBqKFU1d1iaXlozmQ2zbbCgasASUq5qJUkhbg2OKawrzd8syZbXDUFOqKsZLigPdVQ71eVjWZK2yuGTXaEHxd98dQgjT9cO2BBNFhWXB1+8dpS5j0ZCxaG2waam3yaQkmYRJkPEDswEoNRmO1JiNRykYGA2pBhpLQBBqupptHFuSTknqsrCi08yL0QIU5Yqifyykezike6SOY4MesuKdzCra1MzfPtFCgKQ+WUKFJg\\u002fejxzWRgkyjB8o03X23IY+duabSVkBoY7q3WvJQyOLeUPXnnnXtLuwqYeLmrvZOdHCt3rWc0vvGo6U60hZAZXQ4Xt9q9hc34cOXeYqxhli2l6\\u002ffdFOHhheguvadA+Mc\\u002fNd2\\u002fjEuy4yG+rkDX4N+AHzz0E6Jb1oRo+cBqHWOgP8CvH+H\\u002fHkF2\\u002fZQqXqk3CTZCyfmxbvmF\\u002fVDowT49beNbM6O2KP6jWth09ZxDBW258e62Bfoammtsew1+Upk5ZajEJcrgyxrQCtbGMjjjXx5GgbT4y089RoG+NBiqwzU0gI44xTGteRLO1IUCgbD3jZi3LS4+iXiAEnkElKWhochibCaR9FCqgGmpF8SFezY2rwWYJyVdE35HOot8rxoYCeIZ+xQmgq6UJUlHCyhW+8fVWrky65UJsswtCHJ3aXUdpsAK4tSDiC1gabrmaHpW0OyzpdGrMWyYQkCIzKHq9Cy4KxYkAQaCzXOAQ7mkzTwiA0m0OsoQgBUkoyaYs1WYd1SwUJB374ZJ7vPFQhk5DT\\u002fAox6OVYKcu7n7qWi5r7OL\\u002fJ5MPXO8bRFygrKoBhoKVaaC5o7Oa\\u002fjm2s3SeMSj4\\u002fNtoVwab9OWGs8ZwVo+aL67IjfHr9g7x\\u002f2XPc1reab\\u002fes56mxdm7uWc8HVzxLdoYCJlPJSHWXa9sOs7lukJ2FFtJJm5vv3Mb7bzyXbMaNpboGro3SvZ+OfF8vWo1\\u002fKSR6DMJ\\u002fM7ACCKMBs\\u002ffwEHc\\u002ftJe6jMOE7\\u002fDKtoOc39BHOZg7xzh2eOwuNPPQ8CIyM4TUpNCUA5v1uRHOqe+bE5cOMV455JHRLsb9hMFXaxNWq4YW5zX00pzKg7KohC4HSk08NNzF\\u002fYNdPD3SyqCfxUokaa6zOO9MC4uQHz9bnNFpF0vQnYfLXHlmJk5DrNm5M43NsmBxi82OQxrhTkpjIaFaVhTKJp1xX3eV3Ucr7O\\u002f2GBj1qfiGi1zb9PBybQN68dSJgBdqueRxD7GUFSAwIjqTFLU0SqUVfiA40l9lf3cVyxJkkpIlrQ5rlyRYtyRBe6ODFIKKZ6IHY4WQUGm0EmSSRisIwkl\\u002fQLyxxfMTKE0QGq3GD2DPca9mOpy8HsxGuFWt5579axF+hWWpcS5s7uPCiPGXpPKkrTJhaKOVZHPdIC1uhaKyax1oXaE4Wqrj2fF2rmw9PAW3MDvFa6oc2ujQptUt8eEVT3PTop3cM7icfz1yJj8aWMFbFu\\u002fA9xNzgmiCKE\\u002fjbYt28ls7L6c5YbPn8CC3\\u002f2QXN73mjAjkWysK+VEhxLtfqpj6i2L0GO6qtbaBj9b+Hv38ym3PMDpeprk+ha1C3rF4B1YU3z057WLKfRHYlglhDPtpGp3ySZJTAFVt8YrWI9S5lVOq7Sad0eGBoSXY8uQY8+n1Qzw31sUtPat5bKiDrePNVGWa5gabTeslr+60Wd7uUJeWOI6k7GmeO1hhcMzUu5v6ZK2NWj0yEdI7ErCi06Xq6bnRekBnk4Mlp5cHjjeNLXtLPLu\\u002fzIGeKn4QS15IJySesqiEEs+XOFJRb1epd3yylkeDU6XBqdbqoqVkQNryKYYOW8bbOVKqR0SbZpxnTuSMcqUikzShtiBQ7DlaYeeRKtmUZGWXy5mrUqxdnCDhCMaLZkZDBQ1ZSXOdbUAhs4WxhHk31xaM5gOOD3rYljhJWZUSKhXFpZtz3HBhjuNDPkf6E+zrzfL93k5u7vNxwjJnNgzx8pYermg7zvrsMJsa+jmjboCfDC\\u002fFsb2oVZiiqBI8PLqIV7Qdmv1jzPR9orXla4uqb5GQITcu2s01bYfor2ZPWSAjvkc1dLi+Yz\\u002f\\u002feuRMeqs5XFvyX997ljddexqOLVEKGRWheKPW+o+Bgy+FVH+xEj0Oqb0SOAtQsTTvG8pzy727yKUd8r7NeQ09XN5yjFI4d3VX40UPGa8m+X7\\u002fKhKzpASG2lSWuarl8CkRWCpCsh0q1bM931qrVw5ml61zPP5275kMVC9EukmWtEheud5idZfDohYb1zXbkh9ofAXlkiaTFJy2IsmPnsrjOtKErqaQJaBYVRzu81jV5c7gGpskgemr3dJgk05K49QSsbMNXEdwoNcDrUk6AjfKfvKUJAwEnYkCm5qHOauun1WZMZak8rQnijQ6lVoeedLywQoYKddx98By7uhfzfFyjonAxRGKlZkxLm46znkNffRXM2ydaGVnvpnuSo5RL4krFUk3IC0UQajYdrDM9kMVOhptLtyYYXAswLYEodK0NdgkHNP3e67NTWMaFR7u95gohaTc6Wo7xCWSJaevTOErQWuDy6JWlws2aqqeom8k4EBfiq1H6vn80eX89b4KK9NjvKrjCAkrMLqMnlwHSRny4PBiir47ZxrtbGQSYYzNnY8cesvSY\\u002fgzZAzO9J09JelIFrixcw+f2\\u002f8ymtM2T2\\u002fv5r4nD3LNRWtQSgmQIZDGdGb5zZcC\\u002f\\u002f5iGT1e3h+LfmqNRiL4xp3bON4\\u002fQWtDglIVblq0k5TlnVLyKm0qhN4zuJzd+WbSs6jtpcDhzIZ+zqwfmFVtj\\u002ftiCzSJRJmnetYzUE1P85RLAV6g6exs5Jp1CZa3G0eUbUlCZf6tFNm1sQpqSaNOblqe5MGtxWme8Jg0xhO+73iVy87Izp1eGo2hrdGmMWfRO+wj7SnSTWtSjkGR5QOblGWgl+uyw3xqzWNc0NRNQpokH4RGaRkViDSNHySanROtfLt3Hbf0rmF3oZlAGUDPWxft5tXtB7iwsZtmtwxSgRYoLaPuM008Nd7BfUNL2TrRxqCXwpWKtBsghWZgLOC7D42bWL4jKJYVyztdHEtS9dWcURCBiQTsO+7NmGwihfFrbFiaZHGLg+dHUjU010opWdqeYHlngivOUAxPhBzoSbD9WJb\\u002f6O6EoEpqWnMHgSsD9hUb2V1oZnP9IJXQmhMWO9fY49ru82npXbtOmO\\u002f4xq69fPnY6ZS0i9I+X7zlGa65aA1SiliqA7xba\\u002f2XQojBFwugecGMPgXueiFwBRHc1ZKyBnfNJC2Kvs2G7DCvaj9I5RS2OVCDhd7SuyYCj5wsCwUmz\\u002fjq1sOk7embh44gpgJMvy0rpBQkeLB\\u002fFf91fBPuiVlQAsJQ05ITXLo5Q76s8UNNNdC1+PGJdrgQRrovbnFY3u6yt7tKwpmuchtvsaBnxGd4IqCpziYITlZl42uSicgDPuVhMoKNVkKLku\\u002fQlSpwYWM3z0600V\\u002fJcKRUz7d61+FYIRc29KCQ5H3TYjpne0DIs+NtfPX4Rm7tW8ORcj0Zy+PCxm5e27GfV7cdZE12BKJcgULg1vYWISBpBVzY1MOFzd18aPmz7C00cs\\u002fgcu4cWMVzE61UQpuc45MSiiAC41hSUKwolNYkHIEX6Jn9GJgNM19WHO73TjJ\\u002f4nMEcMbqJLZlQDxxXD+eu6ofA3sFDVmHCzY6vGy9plxVfP0niu2HKiTdGHYcxeW9FE+Md3FO62F0NVOrkjNbldi56PmeH4eE12RHuK79AF88ejqNaYcHnjrM0zt7OGdjF0prASIEWjGtz\\u002f6KSV\\u002fYC6IXI9F1BHf9NaJOLTpUFpbk1h\\u002fvYu\\u002fhIZrrEwxVDPyv0S1FCKJTO+H2FZp4cHgJacvnRK1FQK1yyytajtYSYuKSvQkZ4toG8ba32Myd\\u002fcu5rXsFW8dbcWxp0gunfB6twHUkWw+W2Xs8w6IWJwrHzP3ySkPSNirlnuPV6YCu6HfbgoliyNEBn\\u002fZG26iyJ9zDsYyX+tn9Ze56Is\\u002fIRIhrm82srCyqymZNZpQbOvZxY9de1mVG2Jpv5YtHT+e2vjX8+5Ez+G7vWq5pPcwvLd3KFS1HAXh4ZBFfPnYad\\u002fWvpLeaoT1h8Atv6drNJc3HaUiUCEK7xtyxin\\u002fi95j8d1iXHWVj3SAfWLaVR0e7+Hr3Bu4ZXM6Il6hlFCZcwX3PFuge9HnV+XUs63CpeCa7b+ompzU4jmBft8fIRIBzQusiEYXimups1i1O4PkzbxhiCuMHocYLjDlQ9OD4kKmfPr0lkqkT+M\\u002f7T8MLBNd1HmZ1egQhFJXQqWW+vRSNPWcjAYRKcNOinXynZx1aWpQKZb586xbO2dg1FRYL8EGt9T8BpRcj1V8Qo8e9mbXW64AbqCWvSPwg5L9ufwbXkVRCi+WpCV7fuc\\u002fAXU8xRo2Jmd7Rv5IBLxUh4U5gdKGpBA4XNnazKTdEKTBJMWnLR0hFfyXH\\u002ff1LuLV7JQ8OdlIgy6oOi\\u002fdd6DI8HnDn43mSLtNsQUsae\\u002fqZ\\u002fWWWtbt4wTyKKgvwAsWGpQkashbFsmm9c\\u002fIbGvX9nLWpaX9VGlKuYLyguOPxCZ7eW0IKSNimuGMpavD47iXbefOi3bQmioTKohg6nJ4b5G9Pv5f3Ld3KV7s38q3u9XyrZx33Di3ldR37CLXkzv6VFEKXJakJ3tS1mzd27eW8hl5cGVIKHfJeakbmnj5ypnmRY8+zJTRXthzhypYjPDPezn8c3cz3+lYxHrjU2R4JG3Yfq3Kkf5hXnJ3h0jMMqu9E6S4EHOipEgQmajB1JLHWtHFZgoacRbk6M6Of+E0ExsH30LYCQ+Mh2eR0GLDCrDG3oZHPHng5f733TC5v7eHNS\\u002fZzcVM3TYkiKjTz\\u002f0Kl\\u002fKnIJLs4nNVguhLd3reGuozDnQ\\u002fs5ePvGmHF4qYYFhsCK4E3CSG+9GJgsS9UoscAmQ8DKRVJc2lJ7nn0AFt29tKQsRmq2nxgyV4WpSZOaZuDAbRMeEm+17dqhq4nhmIU2ytaj5CwPFxp0FLPTrTz3Z7VfPf4So5V6mlvcrjkbIuzVrh0tbjYlqTsKbYdqnB8yMedIkE0ZnFsO1jmss0ZMiljn8\\u002f1gQUGE95UZ7F2cYLHd5VIJ07wmGM2kSN9HoWyIumI2n3TCcnOI2VufWicvtGQbMKEvUb8BMvTY7xv6Tbe3LWb9mSBauiQ9xORGWFQW4SwMTfMX2y4n48s38Jf7n8Zt\\u002fSu5avHN1JVNvV2lU25IT656glu6NiPdCoQuKYbSq0RZAx9iVXi+YWawFSRATijfoB\\u002f2Pwj3rV4O3936Fx+OLAcS2iyiQBPab736AQHej1ef3EDrQ0WZU\\u002fXqv9WPB2F72ZQ2xUkHMnmVam47NIpKfbi9434bNlbJuVO\\u002fx6xzb9+aZIPXNdI\\u002f6jPswdcnjhQz\\u002feeXMXK9CivX3SQ13cd4LTcIESItiCqYPRSMrwxLzU3LdrJnf0rsSyLwdEi\\u002f\\u002f295\\u002fjDD12BrgGWAfio1vq\\u002feBGw2Oc99ilxvU5gG9ColEIY4s2\\u002f\\u002fg1+\\u002fNgBMpkkLj7fO\\u002f87rM6ORhU75kAOaUHW8fhB\\u002fwre\\u002fcyrTQG+k2zzKBZp+9xz0TdoSZT5ft8avn50DQ8OdaKdFGetsHnZWmM7Z9IWQWgcXaGCTELw7IEK\\u002f\\u002fXDEVxn5kXwhpfXc+nmDKV5SJBYKu84UuGLd42cpH7CpGR633XNrFuSwA80jiX4ybMFfvBkHqU1aRfyvpGU71y8g4+ueJrFmXGqgYMX5cWfOJS4EUHKCnh4eBF\\u002fvv8C7htaygWN3azJjvHEaCdHy3U4QrEkNcHZDX2c39DLablhFkVeeVvGwsHU2\\u002fMiiClM2sczQU2nz4H5qtnIQXhL3xr+av\\u002f57C400eB4SAGFqqYpZ\\u002fGmyxrYuCxJqaJIuIKj\\u002faaf+ImrwmD8NSs7XT7wmuZ5dKeZ8j0SglsenOD+5wqkE+JkL76GD7y6idVdCUJlNIlyJeRgr89jez22HgmRXpFXtB\\u002fnpmV7uLTpGBmniheFH4XglNj250MSzVuevoFHRxfh6grNTVl+\\u002fJ+\\u002fRHNDOoI3C4Wxz18jhLjjhcJiX4hEj0Nq7wWagBCEJYTg8a3HefDpCO7q27xr8W7W1w1T8BOcqsWSANBwa99aPGWRtoIZ9GCNr22Wp4e4o38VXzq8nu0TLbQ1OFx7ns05qxO0Nxmb0gs0xcqkQ82WUPE1p69IsmFpgh2Hq6QS01s4SwFP7Slx3ro0M4R0Z5gI85yVnQk6mx16h\\u002f2TbU2Ml3jf8Sqnr0hS9TTfeGCMx3cXSbkSWwgGKgk25Yb57IYHeUXLITxlMxG1YJ5JCwq1JGN5FEKXT+++mL89eC5SwK+vepKPrnyatkSR46U6nhzr5CdDS3lirJObuzfwH0c2k7RClqYmWJYeZ112lE3Zoague56OZJGs41FLaNUST0nTcknPzPyxlC+GDgK4sWs3lzYd43P7L+ArxzdhCUUuEZIvhXzxrhGuv7COi0\\u002fPYEk42OtT9hTpE9BwsTf+jFUpEo6kVDGJMnNRLM17hwOe3ls6yTkqBZSqmvPXp1mzKEHZ07VvY1mSDcuTbFyRZHDU5+l9Do\\u002fszfL9x1eyuW6Aty\\u002fdx+s699ORnCCM8v6nvvsLpRjmfdOiHTw8sohkwuZI9xjf+sF2PviW8w1ScdJ2+hhwBy9Qqj8viT5Fmmcx0nwpoJXWUgrBBz9zG9+8exv1uRSB0nzn3Fs4p\\u002fHUSDgdhT0Olxq4\\u002fvE3kA\\u002fmjnFKoRn3E6zqsLh8k8u6JQlyaQs\\u002fpAbNnA2xlnAEh\\u002fo8\\u002fu37wydPhjBe3Hde3cjZa1LzluqZpOSuxye484kJMkk5LdwW33NZu8u7rmnkmz8ZY+eRCpmkjBJI4K2LdvOZ9Q+TdcoU\\u002fGQNzhvP2FSJHmpBzqmyK9\\u002fKJ7dfzt2DKzi\\u002foY\\u002fPrn+QV7Qdoho6eEqSlCGOFQKa8aij646JFh4f7WBbvo39RdPPPVCmFvuiZJ7F6Tyr0mOszw6zNjvK4lSerkSBtkTJhKCi3P2qsk1euZ5pfBJXmuIVt\\u002fau4VO7LqW3mjEpuKGgGmiuOCvLay+q41+\\u002fN8yeo1US7okOM6N9\\u002ferrW6nPWARzAG+mXpNOCL7zwDj3by2SOUGaa22cdB++oSVyjOqTnIMAti1wLShWQnYf83hgp8fu4wFdzhhvXrKfty\\u002fZzbrsMFqLGjz2hTK8ZrI91WufvJG9hWYIKqxZ1sIP\\u002fv29JJM2U+SNAi4GniASts\\u002fnWc+X0a1Imr8f+HemwF33HBrilb\\u002f8ZbQKyIdJXt1+gP88804qc5R1iilevP9w8Fw+tfuSGZ1w08YBvO2KOs5cnQYkfmDCO7H0nouMui359gNjPLStME2aCAFVT7NuSYL3XddEGNfonHNOjCTpGfb5p9uHCMOTxxA\\u002fM+kKBsYC0q5ACkVVWazLjPC7ax6jya2QsgI6EgXqbc9oQFFZKS+0arHajFPljv7V\\u002fOaOKzhQbOA9S7bzJ+sfpC1RIB8karZ2HGaEqPyUFZqKMGgKfpL+aoZD5Xq2T7Syp9DIoVID+wqN9FUz+FH9uWanzKJUnqWpPBtyw5yWG2R1ZpTl6XHa3BIyKm\\u002flRUkmUzfYuCz33kIzv77jCh4aXkyTUyVEUPE0Z65OcWzAY7wYYksxZVMzkveCjWneekUDlVMgCqd+g75Rn3++bbjm9KvdU0Kxorj67BzXX1Q35wYeay6WNEAlFWoO91V5eJfHUwdDkkGe13Yd5r3Ld3Jufa+Zz9A1mYYvgOHDqFrsPx86m9\\u002fbdSlNCY\\u002fRQpX\\u002f749eP7XJQ9xd9WtCiJteCFJu3ow+RZo7mF1lszKpVFJKwe\\u002f\\u002f3Y\\u002f4x689TnN9koIv+a+z7+DqtkMU5igEMXUQCsHrnng9z020zVhgIiYpjAp+7toUb7mikapvUiPn+yIxpHSsEPIPtw1SKuuT1EKlNO97dTNrFyWo+vNbaI4t+M+7Rth5pELKPdk2jHPGXdt0FskHTu29y6FNzvZodCo0uhW6EkVWZ0bZVDfE6swoq9OjdCYLWELzT4fP4lO7Xo5G8Ol1D\\u002fPRFVtQUUHI2YAfmkmcOxinpyvDSSmNphQkGPTSHCvn2J1vZlehmX2FRvYWG+mtZKlEiSNNToVl6XHWZMZ4WWMPm+sG2ZAboitZRAhFqCwqyjb58Qiylk85tPmtnZfz9e4N1DtVNALP19j2TBWDTMXa913XzIaliZrzbi6Kpfm37x\\u002fnwW3Fk2zzUEF9xuIjr2smm5Izbsaz3VcIkyBkSegf8Xh4V4WHdof45TKv6TzMB1bs4MLG44gXyPBxbH\\u002fYS\\u002fGax9\\u002fIgJfDq5S48Kxl3PL3NyGEYEoKQBk4Swix9\\u002fky+\\u002fNh9Fiavw64BVBaaSmkoG8wzyt+6T+ZKFQok+SChm6+fe6tp8wOgsnc7R8PLuMdW14zrTXSrIMWUKpo3nhZPZedkaE4A7PORWZhSO7dkuf2R8anSfXYKXfWmhTvuKoRbx6MrhSkk5LHdha5+SdjNYDGiWRLU5mmK5nnmtYjlEOTaulp06hwwncZ9NL0VLIUAreWM788Pc7Z9f2kLZ\\u002fv9K6lM1Hk70+\\u002flyvaD5CvpqOc7flv8DHjx78Dkxl7JzD\\u002fsJeiu5JlZ76FPYUmduWb2Z5vZaCaphTaZG2PVZlxzq7v49LmY7yssZc1mREsaZpYlkMHR5oadH+y5yL+7tA5ZG0\\u002fwj5MH1fshFvc6vKh1zbPixnjTbZ\\u002f1Oefbhuu5cTrKd+zVFW8\\u002fpIGLj8zOy97f6ZnxJEZx4KRCZ\\u002fH91S4b0dAIV\\u002fhlR1H+dCqbVzceByBqkUk5svwsVT\\u002fo92X8P8OnkeLW6FQCfnW59\\u002fGpecuJ1QaS4oA41P7WyHEJ56vU+75OONUFD\\u002f\\u002fWPz+cXLKN+7aRvfABE31aTw\\u002f5H1Lt5Kwg1NK8zj9VFo+t\\u002fWvwVNWLX\\u002f4VJR0BT94Ms\\u002fyDpdFLY6R7PPctoyKrrhgY4Zn95fpHvJrXngV2fG7jlQ4OuCxtM09JbNLaWLq65YkacxZTJRUrd9WTKZVkc3iZJ7\\u002fPPMuzmw+DqEFiMjpZeEpSTm0yQcJDpfr2DrexrZ8K0+PtXPnwErA7P5LUnmKoc3hfDPL0+MgoBwYu3k+YbIT4+NgFnJV2VR0zPwmsaUjWWRxKs8FUS+6kp+gv5phR76Fx0c72TLeznPjbfz38U185dgmlqfHeVljH69qO8ArWo\\u002fSkZwgUA6FwOEP1z1M1vb4s30XkLGCk0BGcTGMzauSpBLzdMJhHK2P7ChRKKtp0lwIk+K7tM3l\\u002fPVpqp5CvADUeByfN9V0IJt2eNX5DhdvDHhij8O929Zy18NLeWXHUT66+jkubDyO1oJC4MzLS28SrmzesXgn3+pZx4RKEwQeX7p1C5eeuzxeezFM9J1a678E+p6PVJ8Xa0yR5hcBDxLl0kkQgyNFXvUrX6Z3MI9lmaYM3zzvNs5v7GFilioesVqetQ1K7fa+Nfz6tkupagdbztVHfOrkmDjsyi6XD7y62Yxzvi\\u002fEpN383IESX\\u002fnh6LRwmxSmXtoF69O89cqGeamPWpvN59sPjPPgtsK0vOq4i0x7osTXz7mdTXWDjEWAlbhpoRCmoLEUCluYziHS8qn6Sd729PXcP7yExck8SgsOlespBw7rciNc2XKE69sPcEFTN\\u002fVOBV9ZUaPBF+8Vjhk+lmhxDfpJya8o+kmOlOt4eGQRPxlayqOji+guZ7GlYlNumOvb93Nj1x425YbwlYUjQ\\u002f7mwPn86d4LqHO8aSaF0v9\\u002fe+8dZ1dVtn9\\u002f19r71OklvVeSkJBCAglVCC30JqKAVPmp2PVBAZVHUCyI7VFAUUFRpEkHAYVAQg8hIZCEJKT36ae3vdd6\\u002f1h7z0xCemaS4LuvzyfMDGfm7HLWte91t+uGcAi+dFYP6qus9rjLju55yMub3\\u002f54swnadVJybA+unlDDxBFxckW1y8Zgh\\u002fdFd1Q+RmxBKuMwZ2mef79XIpnIcW6\\u002fFVwz7F0mVG3G8R7eO3oAu56M9IZ8OefOOZt1+QrClqLkaB7\\u002fv4uYPLafN+lI+L76dUKIn+yOVd9Vovu370lgBibSbkkhWLyikTO++DcyuSKxiCTnSPpEMvx14lOMrWwi6UTMoqCjDt3fus1uHcCvP5zA85sGMLBekss5FBx2KbUFHduyEydXcPrUSrL53dvC+wvlL8+18N7KTr61MNsV24IvnlVP79rQR6K0W0N5RF+6tsAfn2lur1k3E10syq0Cf5v0NIfVbiRRimxzq92x4CVSKBwt+fJ7J\\u002fLIhpGMLG\\u002fhTxP\\u002fRX0ox+yW\\u002fsxuHsCLTQNZkakmajlMrNrE+X2XcmbvDxkcb8P1quu6gvAfPUffanYQ35IuJdfiw0wtzzUO5slNw5mb6EXWDTEwluTsPsu4cuB7jK5oAqH430XH8OuVh1LtzYATAvIFzaQRMS46sWaXqhP9OoYHX07w2vtb+uZSQK6kGd0\\u002fwhWn1u70obGn98Io1UIkLEimHd74IMe\\u002fFziUshk+M2AZXxi6gBHlTRRd28wbEFs6tK42yjONxTiffec05iV6Uhl2yRZcyuNhHvzFhUwc3ccnutdRQCMw2puhvktlsbtKdIG3SwfOAxzANhNRBbPeXsWl1\\u002f+TQsEhFpEkizYD40nunfgUYyqaSToRBNpL+TjMT\\u002fThN8sn8Oj6oVSUhTlpfIgjxpbx1pIcj85ObDOYtaMLcDVcfkrtLgdvOq7LRFbXNZa484kmU7Xm\\u002fa0f\\u002fT36kDLOP7qK7C5adSHg9082s3pzkUjIXIejJX8c\\u002fy9O7bOcZDHa\\u002fuDb5nt4XyPS5evvT+ePaw5hRLyVvxz6NBOrNlFwQ0SsEmjBqmwVLzUN5InNw5nV3J\\u002fWUpSRZa2c33cJF\\u002fZbzMGVTSglyezEouwNfEuvtckkRKWLJR2SpRgvNQ3gb+sO5qXmgSRLEQbHE1zc\\u002f32+OGQ+tdEUn3\\u002fnNO5fP5racA4XSaGkuWh6DVMOipEu6B12vnXOdtzhZTs6r2azLjRXnVrHiH4R8rvh2u3RPfAJHxK0pRxeWZjjP++VCDspLhu8hM8PeZe+0SQ5N2RmsQkzsitmObQWo1w67zReb+1LbaRItqAoi4X4208\\u002fydTxA3ySg8c7jMG9CEgDuzSUcXeIDhABHgDO9A\\u002fqn8TLb6\\u002fi8uv\\u002fSb7gEI9IEkWbQfEkf534FGMqm0AL1hcquX3FBP60cjREYpw41mbawXFqKmwKJU04JHj81SQvzkt9RFJouxcgjO9UX2XzxbPqiEV2PaoKHRHbx15JMnN+RzWVHywKhwTXnFVHj2q7vT2y\\u002fb5Ae3mmlBCLSDa3lLjzyWaSGZewBQknzI9Gz+bzg+eSKsV22hKptKA8VOBHS47kpx8eTs9Ihj9PeIZj6teS9GSFfYHEiOUSkg4FN8Tctl48snEkj20awYpMNQPiKc7v8wGXDXyfcZUNlJTttfPuSoh0z+EPbLCFImYVKWqLmY2DuH3VRF5uHoCjLA6t3sR3R77KcT1Wc+5b5\\u002fFKc39qwgWyRRg7NMrFJ9QY4rL9z9G35g\\u002fMbOP1RdmPWHO\\u002fOObT06t3KvrRVdB4O0HbbOmb2kq88G6OlxY59LZa+cqIBVwyYDHldo5UKUJEuqTdMJfNO5VZzf2pjxTIFjWRsM29PzmPoyYN7jxD3Sf5s8B5QojdanLZrfSa160Ww1j2drI7rsK2JLPmrOLSGwzZyzyyD4kn+MP455jb1oufLZ3EplIVx46xOHFCGT1qwhQcIxvs58AtKfj7C63MW5YjHhXb7PXeGv4He7iXe92dD9bPmaZzit891rRFXrezVT\\u002fvmKr2xgp\\u002fQdl+rlVDW9plXUOJme+mWbWxSFkEmotRLuq3iN8e8jwZZ0sxzK0\\u002fHYEvUpnngXVj+NJ7JyCF5nfj\\u002fs35\\u002fReTLMTaxzJ1vIeRipJCEbcchFAsTdXx0IaDuG\\u002f9GD5I1zEgmuSSAQu5cuACBpe1bWFRuhMavHPTlNklck6IhzcexK+WT2ZxupZKu8D\\u002fjHiLs3st47w557CxUE7ccsgUNGcdWcnJUyrI5HS7gKZ\\u002fjzor06xvKnHHk01b9CX4D+iQDV88s55eu+B2dfm1ez58yDIqQGs2F3j2nRxzPnSYULmZbx00jzN6LSPthLl83qm82DSQukiBXFFj25K7f3Qexx8+FJ9XdJD8ReBsIUSq29Jr5gLMm3tkfwg4ja3I\\u002ftKclVxxwyPkCw6xiEW2JIh444RG9AtxysQoQ\\u002ftGcTxRh85FLlobohcdxR+fbmH15uJ2U1UfuRCv2OXC46s5fHR8t\\u002fx1P9328rtpHpndtkW6raOiqo6e1TauMtszBLSlXD7cUGDp2iIrNhZoTbkm7xqCTMno2T0y5VEq7CIlr07aHyZoC9VeSqoRlJQZJLkg2ZNPvX0mG\\u002fNlfHfk61w74o1dagjya85jloMtXVZnqrlv\\u002fRjuWTuWZZkaDq5o4nMD3+XSge9TFSqQLoVhFyLCXQG\\u002fLj9uF1iZqeEny6bxz40jyLkhLu6\\u002fkGm1G\\u002fj+B0eZsKRWhEKSM6ZWMrxfhPKYJBY2A60c10TlHdfUtD8ws403tmPNp08s58wjd1wc093wCR8Jmc98yZo8j79VYMWmEhcM+JC0E+b5xsHURorkvczOn24+l5OPHL4tkr+CqXdPdGvBTMfJt5O9DEP2Gf7J+NuMl+es5LLr\\u002f0mh6BKNWBQdTVlE8IUz6+nfI0Rr2sWSYptPWaXNtqc55fL7J5tIpF1C9s7JLoTpJotFTJljfdVHyxx3BqWNf722sUjEO6a\\u002fcI4cG+eiE2poSbqsbiiycGWeZesKNKdclDIPA9vqsCiuFvz90Kf4RN0aEo7JPkSk4ynLWiRLYQrKRmGCZZXew+CCt89kZtMgPtV3MXdN\\u002fFe7RNGuZxNMHD8qHUKWw9JUHX9YM4G\\u002frxtNcyHGJ+rX8D\\u002fD53Bij5UmQr+DQpuuhqulOS\\u002fp8vvVE\\u002fjx0qlsLpZxYo9VhIXLKy3926XDHFcTj0p61YToWx+if71N\\u002fx5hKuOS2gqbFRsL\\u002fO6xpo+k5xxXU1lm8aWz6imP77wLcV\\u002fAz+aEQwKhNTPnp3n49QJhW1MRcig4GqU0f\\u002fjfszj9E6O2RfI5wAwhRPOe6sft0T3YiuwPA6ewDbJf\\u002ft1HyOcdohGLfFFRV2lz2cm19K61yRe3b3GVMoRdvqHIn\\u002f7VjOOwnV7vLdEhPRTh8hm1u7Ttbz+m5\\u002fPN\\u002fzDHX55vJRraMu0TCwvGDomxenORTS0l0\\u002fkUEliio4JKa5MvbytF+PLQudx00GzaSlGqQkXQ8EHGzNae39aT1blKU2uuJWHpMjCWoqQls5v7MaKsjWemPkxtKGci9HL3iehnOHwL\\u002f0ZLP365fApPbR5G1HL4bP+FfGv4W\\u002fSLJUl7LbDdEazbGsqb9Fpu55nZOJhvLDye5ZlqBsaSZNyQqQUAEGYd+PPgbMtIUNdW2gzpE6ah1eHD9YWPpkULmrOPquK4CbvWgbiv4BsNpeGBmW0sWpklEpYUHHAclzu+fybnnDBmWz75POAUIUTD3ohE7vFt2BHZ\\u002fSfSy3NWcun1\\u002f6ToWfZsXtGj2ubyGbX0qt452eNRydtLs\\u002fzjhVajELoL8FNup0+r4qRDK8gUdi13qkz4mHhUcu+\\u002fW5jr9TN37m4rFjUhW2BZpqyyWFKEvSEFubzpNMsrm8HxBI8d9gj14Ry20MxtM+IMzzYMYWO+nIKyiFouFXbB6I5544eF0FhC09NTg7mo\\u002fyIGxhOkvazFnnxYysuDV9glikpy3\\u002fox\\u002fHL5ZBam6plYvZnvjnids3ovo+CVuHa37+7DiHIWWJjsweXzT2V5pppKe8uZ5H5BjZ+qVMrIfJUc8zl07hTsqKoLcfXpde3KMvvSN98etDbBWq3gby+08u7yHBUxC8dVFEouv\\u002fvuGXzy5LGdSe7ny98DThJC7FZxzLawV7dhK7L\\u002fEziZrSz7zDdXcPl3H6FYdIlFLTJ5RY8qmytm1NKzxiZf2AHZvYj4v+emeeqN5EeEBHaGz51ex9A+YfNA2caV+lFzKYwf5SrY1FrihblpFqzIEfIEGv3F4otF2pagR5XF0L4Rxg2JMmtBhsVr8sRDkHTC\\u002fHrcC1w0aB6bMrX8cvlk7ls\\u002fmo35cvpE0xxatZlpNesZWdFKtZ2nMlRgQbInNy05EkcLakMF1uYryDg2Yyua+PaIN7mg7wfk3BD+5Jg9QYefXGRNtppblk3lvnWjsYTmqoEL+M6IN6gL50k6oR1Ot+1K+BNyPkjVcsk7Z7A6V0GZ5bST3Q9o5YumeMS2zPCKkDecwh8UCR27ufOPqWL6pAoyeUXJ1e2f7\\u002f6CT3Ih4L4X2nhnWZbymIXranJ5h19ddyoXnT6+fddCB8kXY0i+ritGM+31LdiK7I8AJ7FdsjvEIjaZgiH7ziy79v4TCZuGhVfeT3+kDXRb8Btf+vcI8fkzzNPdT5mZc+4onQyHJPmCYun6AnOX5liyNk+hpL0ASge5BVBfZTOif5ixg2MM6BmittJi6boitz\\u002feSEhCyglzeM0Gnp72IC81DuJ7i4\\u002fhzbY+9IlkuKDvB3yq3wccUtlA2HIAjdYWwnL42rsn8ftVE5jRazm\\u002fHfcfZjcP4A9rxvNWax8i0uELg+fz\\u002fZGv4WiBQu7VFtvxBg7aQvGP9aO4Zek0lqTrOKpuLT8ePYuptev36Vbe0ZJKu8C7iZ5cOPdM2pwIEeGiEThKU1Nuc\\u002fKUCja3lVi+vkhTwiGZNUMrLMs0KPmdakpDZVwyemCUSSPMZ2RJo0ar9gPh\\u002fYeMtODBlxK8uShr4gauJpsrcuv\\u002fzODycyaZ+XdbknwZcLIQYmVXzV\\u002frkkvfFbK\\u002f+OYKrvjuIxRLLrFIZ8teQ8\\u002fq0PbJ7llUIeAvz7WycFV+m8ohW0NKyOYVxxxSzrleaszfCoZtYxlaUy7vrcwxd2mWtQ0lU90WMmOKio6xIhVxIxU1bkiUIX0iVJVboDX5klGK+evzLSxYniceFaRLNg9OfoLWUoSvvn8CTYUYM3qt4LoRbzClZgNaS7Ku7W3VJVWhPI9vHMkV82dQE8rz8OTHmFizCRAkihF+vGwqf15zCAVtcfmA97h1zEuUtNytUt9tob0EOVRgSaqO731wNE9uGk6vaIYbD3qVy\\u002fq\\u002fT8EbcdSdIok+\\u002fLTifxqGcPm8U8ErBxaelb5oejVHHVJOIu3SmnJZ11hi+YYCaxpKNLY5FB3jQtm20ccvljTRsGBY3zCTD4ozelCUWNgQ3lX7hvD+ug3Zgn\\u002fOauOV97OURyVKa9LZIj\\u002f++klc\\u002fckpnQNvPslXYki+rCuHLHbZJXciexx4ApjOLmzje1bbXH7KjrfxprXUCDje9WQLG1tK7VVnO7w4YazxZ0+qYfywGCUHQhZsanF4e0mW+ctzNCUcLCnaU2aFovaGEIQYPyzKoSPj9KqxTeNKSbfLGofDgnUNJe58sgm0JuOGOLZuHUfVrePmJdOwBHxt6By+MWwOMcsh5YTby1E13iwu1+bcOefwRktfbjzoVb4z8jWSpRgCM8QiapX49fIp\\u002fHjZVPLK5mtD5\\u002fC\\u002fB71K2tnxgMpdhaMlZVaJkpb8cvlkfrF8CgVlc\\u002fWg+fzgoFeJWA45Twyyu2HInuO3K6bw\\u002fQ+OoipUQHntrP3qQ3z+zHosaSy43zCUzWvWNZVYsCLHotV5WpKuqT\\u002f31obvsg3oGebw0XHGD41SFrO6nfD+gzgcEjz2SoKX382YnaiGZDrPzV85gS99Zuq2fPK1GJIv7kqSQxdnHray7I+zDbK\\u002f+OYKrrjBs+xRo57ao8bmilN2bNn9rrJNLQ5\\u002feKqZTF5hW+zQZxeYJ3xVmeSas+vJFhUvz0+zaE2BdNak7UJekM9xja7c4D5hJo+MM2ZQlOpyq30GuKaji0lrX5sswUvvmgaWkhIMjCdZk63E0YJbD36ZSwYsIOtE2v1jH64nyvD7VZP4+vvHM7l6E48e9ugWg\\u002fq0t3Eut\\u002fPcsvQIfrH8MITQ3D7ueT7Z74Ndyq3vCvyilrhd5PENI7nug2NYnqnhjF4fctvYmQyKJUg64X3it2sEEelw+fxTeXrzUKrsIgpBqaS57JRaxg6Jki3o9s9BSuPDCyFoSTm8tyLPO8uyrG0sIdBEwt5Em5Lx5\\u002fvW2Rw+Os6kEXEq4t1DeN\\u002fdjEYET7+e5N9z08SjZkEnUgW+\\u002f4VP8PVLj8RVCktuQfKNmOj6gq4mOXRDinFXyD7zzZVcdsPDlBy1RTT+ilNq6FkT2q5lN5F4weLVBe5+rsU0+cudkF2A42h61oRI5xVtKYd41MK2BI5rnH3H1fSoDnPmERUM6R0mGpYUS9tXrfEj+799rJm2tINlmRnrBWUh0fzi4Bf51IBFpIrRjwg7akyraVspyllvncuiVB1\\u002fGP8cF\\u002fZf9JFuP9\\u002fZiFguV86bwaMbRzCsrI3HDnuUPtG0KcLpAj\\u002fa+LemJ3pBsiffeH86s5r7M6lqM7875N8cWr2RZGnHNfpdAYUgKkusyNZw1lvnkiyFCVmaXEFz6MgYF51Q85Gqx85VaCFbkC0olm8o8NL8HKs2eQFVQEpBoahxXEWf2hCHjyljykExyrvYwhsjIHl2TpJn30oRC0uEgNZUnu9cdQzfueoYv7\\u002fcXLJpP23E5MnndgfJ8Q7SpfBILoUQGeBs4AVMPtCxLBOIOO7wIdxzy3mEbIt8wSUelTS2Odz9r1YaWx2ikW2Xvhq\\u002fWzNmcISzj6wyUdWdnI\\u002fWRgdsc2uJYsn43Nl8kdZkHr8FUwphepljZmBgOue2B2+2JQsVDkmWrTOBoZAljJSaN7n01jEz+dSARSSLZljF1mtHaUHEKnHfutHMS\\u002fTkmLp1nNH7Q7LbmOzpS0JpLbh51GxGlLWyNF3D\\u002f604lLBwdisDsSMIwBKKZCnKuIom7j\\u002f0CT7VdzHvJnpy8dzTeb5hCJWh\\u002fBapr+6ARJNzw4wsb+Lzg+aTdcMIbVJpy9YVafLmu2096MGfu57JK2ypGT2oHMuy0d4vCgSZbAkpNRVxm6aky2OvJPjd40288n4a1zWVkfBRMYzdgdIQiwpeeCfFc2+liIZNUVhrMs\\u002fXLz2yneRyS5K3AWd6JLe7g+TQDUSHLcieBs7B1Oh6ZBe4ruK4w4Zyzy3nbkH2hoTDn59tMWTfTumr0f\\u002fSHHFwnBMmlRvrv5P1J4UZTJjJFkikixwxfiAXnzGeYsk1i1xCOlfib88305ox87q3RyJT+aZZtDrf6Xo1KSfMtcPf5DMDFpIqxra51dVAWCoa8hXcv34MEcvlioELKPPyx9u6DLP4bQbGE3xt6NtEpcs\\u002fN45kblsfYjuQ3NoT2EKRdkJU2gXumvAc1wx5h3X5Cq6cP4OH1o+iIlRoL7XtLkihKLhhLu6\\u002fkDEVTeRcm5AFyazDhxsKJrW2jb\\u002fzNe9tO8QDL6dYvCpBJCQRQpAvOowb2YvKsgiNrVksCRVxi8ZWl4deTnDnk03MWZJFCNGewt3dh6ifCn55foan30gSCQssIWlN5vnyRVO58QvHmS40IRAdJE9iylrf8Cy5s\\u002fd3cNvoFqLDFmRPsSXZXcuSOJ3JHrLI5z2ytzrc\\u002fVwLjUlnuwE3KSBX0Jw8pZLJI2PbbU31fCAS6TzFksPxU4dxzy3n8vCvP81vrj+dC2eMI5HOI6UkGpI0tOZ5ZHYKIbetQa8xQcGWlMuqTWbMr8RUwl3UfxHfHDaHtBPdrrS10oKIXeTpzUNZkOrBETUbOKnnqp2q5FpCkXXCnN9vCcfUrWNDvpx71o7rliCZ5fXPaw0\\u002fP3gm1494g7QT5svvncg9aw6hPFTYQiyiqyEwQwvrohku6rew3R0SGJfNVdsuHFJKE49azH6\\u002fyFsLWymLWQgpyWSLjB7Wg0d+cxFP3\\u002fFZPnf+ZCxL0tyWw7agImaxvqnE3\\u002f\\u002fTwl1PNbFotam285uVdoXwvmrtq+9nePzVhCmqkpLmZJarL5jCzV85AaW0r\\u002f\\u002fmkzyNseSvdqcl99FtRIctyJ6kg+wW4NidyH73D88lFJLGssckm1sd7v5XC807ILufF\\u002f\\u002fU8TUM6BkyuW5vBfiVVG0pY3XPO\\u002fFgHvzlp3nwFxdyxidGYVsWrlL88CsncNghA0hmCggpiUck7y1P8J93ckSjFmqrT9lvcFnbUKQtbWakZVybQ6s284NRr5BXFr5nvS3YQpEqRnlgwyjQcGG\\u002fRZTbeZydjH0W0N67fOWgBVTYRZ5vHMzidD1R66ODLvYWUmhcLcm6Ya4b+Ro3j5pNSUu+tfAT3LVqAuV295JdCk3RCXFm7+UMjCXJK4uQBesaS1534Zbl0L5a0NL18MzrTURCIISgWHKproxxx\\u002ffOpKo8wpD+Ndx27QyevuOzXHr2RBCC1kSOcEhSFrVZvrHIn59t5t5\\u002ft7K2sUQ8IttrMLYHvyHqjUVZHpmdIGQJbEvS3JblqvMm87NvnozSHyF5FjhXCPGyR\\u002fJus+Q+upXo8BGynwu8jLeN98l+\\u002fOFDuftHW\\u002frsm1s6kb3TNt7\\u002fWh6VtKVdnn4jSVvKb5IRSCFIZIoopbnw1HE88buLueumczhq0iA04CrlRW0FZfEwv73hDOqqYhSLZph3NCz495xWFqx0TRdbZ412DNlXbCiidEea7KZRr1AbzlFS9nZvqPKI+npLP95s6cvYykZO7rHKm0m38\\u002fvoj4o+rn41U2s2sCpbxdObhmLLrvPVtz6eBtJOhC8NnctPRr+MFHDd4mP5\\u002feqJlHfjNl54gc3+8STH168m69iEbEh4Ays7l75qbVKmbTmLB19qxnFNcBQNhYLDT79xMqOG9sB1FUqZ1OmYYT349XWn8ehvPsNZ08eQLzgk03niEUnYlsz7MMedTzTx6CsJUjl3u\\u002f67P7t97pIsD89KYElBKGRIfulZE7nt2hmeXsEWJM8DFwgh\\u002fr2vSA77gOiwBdkTGMs+i22Q\\u002fc8\\u002fND57wbPsmzyytySc9rllsbAh9Oz30vzu8SZmzk+ZslRbkskVyeSLnHr0CB79v89wx\\u002ffPZMKoPu0fsFZKWUaMXEtpYgUjB9fxs2+dQqHkmii+EAjh8sisFja3mX7iLeqpHc0ab8xvwbWMLHNFk7f93rFyjBbw1OZhpNwwJ\\u002fZYTZ9Yyoz52QW6+Fa9zC5yTp+lWELxTMMwEsXYbinA7g6El+RLlyJ8bvB8fjz6ZSSa7y4+mr+sOaTdZ+8uaA0n9VxFWJpKOVdp1jYU2++WSXlqtLB56OUEDS1ZwiGJEJLWVI4vXzyVc08cg+Nle6QU2pJC+eth0pi+3P2jc7nv1gs4ZsoQEukCubxDRcwMg3tpforfPdbE7PfSCGGKqZQX5VfKDO6YtyzH\\u002fS+1IYQJ0ja1Zvn0qYfwq+tO67xuFOYjLACf8UYr7TOSwz4iOrST3RJCtGLIPputyD59qtnG27akUHApi1lsanX407+Mz14ek3ywNs8fnm7ioVkJklmXyriN4ypaEzkmje7LPbecx99++kmmjO2PUrpdVE+gtTTj5SWecfZjBWcdP5qvXjyN1mQOISUhS9KWKvDQy2042jIlltoUa7QkHVrTLiELcspibEUTFaFCe\\u002f57W9CYstM1mUpebh5AdSjPST1Xsq0hkjuCBErK4ri6NQyOJ3g\\u002fVc+8RC8iltNthPOLfFKlCFcOms8PRs1GIfj2omN5YN0YKsKFHQ7b2FNIYa51YlUDfaNpikpiS8HaBtM5KAGtNLGIzfNz8yxckSQesZBCkkjlOXHacK773LEopdtjNf7lSCmUwBBea83xhw\\u002flkV9\\u002fhj\\u002f84GyGD6yluS2Hq0yEPpFxefjlBHc93cKKjUViEbNrjEcF8z7M8o8XW00BlUfy808ey2+\\u002fewbC8yM7kdwFLhVCPLqvSQ77kOgAnpKsJYRowaTeXmVryz7VWHbbssgVHOIRi00tDn\\u002f7dyv3v9jKn55pYcX6IuUxi5AXVKmrjvPTb57MU3dcwmnHHOQ9cQ3BpYlyWdLkNN4CrsK4DwJwLSlRSvHtq47hpCOGk0jlEdKIHSxbm+GZt7KEQxZKmaaDxoRLOqeQUmBpzfjKBizP4mwPSoMtHWY1D2BZppbxVQ1MrNpMfhdGSW95\\u002fzRFZTMgnmBK9SZai1FmNg80Vm1PP5RdhBRmwssXhszj+hFvkFcW\\u002f7PoEzy\\u002faSgVO5mssycQaIpaUh\\u002fOMr6ykZxjY0tNc9IhlXXRwuSr31nu8uLbTcTCJheazZcY2KeK39xwOuGQEQjoNAChGfgAkFIipRRaa61czz8778SDef6Pl\\u002fG\\u002f1xxPeTxMSyJHyJaUxyTL1xf4\\u002fVPNPDo7geMo3luR574X2oz6b8SiqTXLWdNHc\\u002fv3zsSyzb3odFwNXC6EeGB\\u002fkBz2MdHhI2Q\\u002fk22QffrUYdz9Iy\\u002f1VnQoi1psaCrx2sIsIVtSFrVIpAoUHZcrzz2Uf915Kf\\u002fvgimEbAvXVQhoJziG0M8B5wNHCiH+BFwGNACWeeIKwiGL39xwOgP7VJPLl8BLtcya38KbS4rEohKlNI1tjnEDEESky6iKZrQXGd7uNWNEF2Y2D6SkJCfUr6EqlNvhLmB7UBpCUnFs3RrC0mVWc38SxVi3F7OYwiFNxgnzzeFv8dWhc2kpRfnK+ycwp7Uv5Xahy\\u002fPsSktsq8ToiiYUAksKsnlNc9KlLCrY0GrxyKxmLKkRUrSLKP7m+tPp26MCVymkaffz1VOvBCYCF2MUW4SUUnrunHJdRVkszNc+ewTP3PlZLjz1EHL5EulskbKYhSXhpflpfvtYEw++1IZSEA1bNLZmOfWYkdx541lEwqZc0yO5xnDsaiHE3\\u002fYXyWE\\u002fEB0+Qvaz2I5l\\u002f9PN52Bb0ijVhC0q4hb5gkNrKs9xhw3m4V9+mtu+PYP+vStxTZWbsizpz5UQmGKdGUKIU4QQ\\u002fxRCOFrrsBBiFXAp3gKQUmhXKfr0qODX152KEMJLhxjtsSdfa2VNo\\u002fl+c6uDFOAqQdwuMTCWwtVyu33P\\u002fgNhQ66CeYleVIUKHFm7Ds2OI+3bv3fgKosjajfQN5pmcaqeBckeRDu1d3YX\\u002fHfPOiG+O\\u002fI1Lum\\u002fkNW5Sr763nTW5CqJdbELIdGgLEaWtRKRDkhBpqBIZh0cFeL+mS2kMwVvtJMgmc7z3f93HMdMHmz8cilBKX893CyEeFwIkRdC\\u002fB04BiOFNhvDA2lZ0lVKaVdphg6o5Y7vn8k\\u002ffn4BE0b3obkti6s0lWU2jW0OhZI2lrwty4nThnHXTecQj4b8UcedSX6NEOJP+5PksJ+IDu1kl0KIZoxlf52tyH7CtGH88eZzsCxBOlekJZFjSP8a7vj+mTz8q89wxMSBnh+utDeIzvfBZ2JylCcIIZ7VWgutteUJXBa9m\\u002f4s8L+YReBa0hzz2ClDuOHznyCZziOE8Qtz+SIPzWwlnZckM44JymmL\\u002ftE0VXYBR\\u002fl9cR+FscAu85M9WZ6pZmRZC6MqWii69h71lks0eWUxOJ5gfFUDLcUob7T22eM+9d2FwJSqukpy65iXOLXncuYmevPV907wGmC2PwV3Tw6mtGBwPEFYKBPT0JpkVvLk6xlWrU8T9fzy1mSOC089hC9++jDczh1hUlrAU8APvDUgPSOjhRDPCCGOAS4EFuC5eJYUjlJopTXHHz6MJ2+\\u002fhJu+fAKxiE1rMk84bBEJWzQnshw7ZTB\\u002f+uE5lMfDfhrN30FI4GtCiNv3N8lhPxIdtojGtwBnsBXZXVdx0hHDueums+nbo4JvX3UM\\u002f7rzs3xqxji0BtdVWkrheP63BSwELhZCHC+EeNInuPehup2kcV3v5t8MPOYd0\\u002fWPec2Fh3H+yWNpS+WQUhIJSdY1Znl4dopMwSu5VII+0TTldgmXHW3BBQjFq839ybk24yob6RnOUFJ7ZtHBbGmjVpHDqjcihOaN1n6U3J1Pre0qSDSOlkQth1+MfZFJVZt4rmEwNy45iojldtlZ+C5PfThHmV3E8bIuby7O8OqCZuJRs5NKZYuMH9Wbn37jZE\\u002foob3E1AJWAJd56ixaCKE8IyO01haAEOIBYCpwLdAC2FKCFEK5ShMJ2Xzl4mk8efslnHbsQaQzBTY3ZzhiwkDu\\u002ftF5VJVH\\u002fao33em41wohft3dFW+7iv1KdNgiGu9b9rfoVBuvtObkI0fwyt+v5jtXHUN1ZQzXVWitlGUqY2ygCfg2ME0I8fetCb6NY5o+DhP2vgpYjvlwlJCmbPLn\\u002fzODg4f3JJ0tevl1ybvLEjS0lgjbpq2yOlQgvIPtqsmzK7JOhMXpWgRwZJ2ZYbY3ZBCeaMVRteuoDhVZlKpjRbaKiOV2a7qrM8yYqRCDYkl+OfZF+sbS\\u002fHnNIfxx9XjPX++KpaVRGBXhmlDexDQENLUVvJJXUxRTWWbqIaoqop23zmBy1hd7oopWZymmzmvDey0nhLgVOBz4G16E3htuqF2lGTWkB\\u002ff+5Hxu+\\u002fYMTjtmJH\\u002f7yfnUVsX82ICmoxPtBiHErd3VoLIn2O9Ehy189iaM3zQHj+xSGNmg8lh4i226lypTwN3AYUKInwmjd71dgm91TCPAah4wF2EWBVKgldJUV0T5zfWnE4+FTIBPCOxOlS1KQ3UoD2L7EXetBWHpsjFfxpJ0LXXhHCPLWnY7rfbRczdlqiPLWxlV3syafCULkj2wZddZ012BJRRJJ8LU2vV8b+TrSBS3LJvK6839uiw4pzSEpUOFXTLqOqKj8hEB+bzDj79xMuNG9sJ12xtGfDfuG0KI13dWYtrZwgshPhRCXIKRRXsPsw6Fn3\\u002fXGj575kTuv+1T1FbH0XqLJhUbuEkIcYu3W9g38rq7gAOC6LCFz94EnEonsguP7CZd1r5NfxU4VghxhfAkdzwffJefoN4xbSHEm8A3MPfDNcU0pqDih189kUyu1C5X5P0lltDUhEwH3Pbz56bsdVmmhk2FcvrHUvSPpSgpa6+EI0w9uKQ+kmFsZSNFV\\u002fJaS789fr+9gS0U6VKEywa8x5WD3mNzvozrFh9LYyFOWO69v+4PdjSBPv\\u002f\\u002fgW1JWhM5vvjpw7ng5LGm9bNDjskG\\u002fiiEuGNX\\u002fWPfOHTy4Z8HjgJ+CpQw+XdHeIbANL5oP1\\u002fuYNbkLUKIG32Si30VONkFHDBEhy18dp\\u002fs\\u002fja+5FlgC9Pxcy0wXQjxih9g2coH351jOt5iuAP4M+2NN4bsF58+nivOPZSWZM4P8Ji\\u002fw3Si7dSECs2SdB1516J\\u002fLEWfSMbrI+8aTKvZQEgqFiR70laMmWm0XfTeu4O8srluxOscXbeWN1r7csuyaYSl0yXnIsHTnjd3zbIEbek8xx0+lBv+3yfau8Lo2DrPAb7iDQfdvUEHHT68JYRICiG+AxxNx1oUUgpl5M3aSW4DvxBC3HAgkhwOMKLDR8jub+NDmHN9CJgshLhVCFHwfSCxFzK4HlzPX\\u002f8y8A5eJF5Ks5O4+cvTOWLCIBLpQse2EZA7XUMChGZltgpHW4wub\\u002fai0nsPASglmVDZQO9IhqWZGpZnq4lKZ69dg92FFJqSsqgO5fnR6Fn0jaa5d+3BPLRhVJf56\\u002f49k0KQyzsM6FXJb64\\u002fjWjE7lwUIzFFMRcLIXLQ7qLtNrbazr8JHI+x7o53HIcOkv+fEOKbByrJ4QAkOmwRoGsCTsekRy4TQlwgPNE87\\u002fe6RjjPfDBCCJHFFFO0YdaU1kAsGuI3159Gr7oyCiXXy5nrHbaJ+oG4XCnM2lwFllAMjKf2OhDXcc6ehnxZglHlzTQW4sxL9ER00YNkd2EJRdoJM6VmI18b9jYFbfOTZVNZlakmapW6JOVmmopMheLPr53BwD7VRshBCJTyB15zpRBiqbdL2ysD0Hk7L4TIeNZ9OjAfQ3AbuFMI8ZUDmeRwgBIdOp6oQogGIcQZQoi\\u002feE9Y2R2RTO\\u002fhYgshFgOfwzOaUgjtuooRg+r4\\u002fheOI19wvC2bmZe2g3c0klFOlE2Fcmyp6BtJd935Yppcyu08E6oaUFryRmvffW7NO8MSmqwT5upB7zKj5woWpur56bKpWHTBw00LhIRcwWH4oHpOnDYcrTskmbzg7E1CiMe7OqXlrQ3hrY9ZmGKbPwJ\\u002fEUJ8wdsNHrAkhwOY6GCeqN4N9gmuu2CbvqPj+f76w8CtmC289oOB4w\\u002fqTVV5xLQ8Iki7ZlDh9j5d6Sm9NhVjVNt5ekSyZsF26VlLptVuJGI5LErV01AoI7KT2vvugv\\u002fwCQmXG0a8Tv9Ykoc2HMSTm4fvcRTef8+i17PvD+I0cspbRNhfwCuKoRui3d7ac7yHSEoI8TkhxGWdX+\\u002fqY3YlDmiiQ\\u002fsN7laCbwXfX78BWApIjVZCCEIhi2jElDlqBBk3xPZobrTojMRUWylCdahATSiHoyVdxUEhwFGSMeVNDIolWZauYVmmhpB0u6VHfVdgCU3WDTGhepPRfVM2ty2fQlOhjJDcfbdCCFOcY2a7m617edwMmNBbXuRL\\u002fhrpTtJ18t2lb4QOdJLDx4Do+xqd\\u002fPUSsB46jHZFWYRoxPaivJpEKQx6+5NTJJrGghmkGLMcyrzimq6ytUZ51ujJjSpvJulEeLutzz7pZtvheQlN3g1x1aB3mVazgbda+3DX6vFE90DjTmCKk\\u002fJe45DSUFMZBT7yiM3ofeS3+IbHN0L74ph7i4Do24b0Fk2y8\\u002f+srohSFgvhKI0tNA3FMvKeeuvWn7b\\u002fc9KJ4GpJRLrEpC\\u002f71HVrw6+ln1yzEaVhTlsv3L0or+0K+Hn+mnCerw17m3K7xD1rx7I4WW\\u002fy4btxdgIja5VXdrsV71FbZl7c8jZu+LiQbn8gIPq24T+p14BpXtZaEwnb1FWX4biakFRsLpSRce3tF78IY3FdbQYTxGyT+up6EgoOq95ERajIomQ96\\u002fOV+81P92ELTcaJMKPXCk7r9SErstX8btVErF2pPWiHaN85tRaNrryrNAN6VwHtb+Nf5Iauvob\\u002fJgRE3zFW+t\\u002f47uDAPlUoZRZyQz5Oun2KybZJVVAWSgvCUhGR3SHkCEXX4qDyFobFE6zMVrMoVbdf\\u002fXQfWhv34prB8+kTSfPYxpG82dKvXd56V\\u002f7eFopV2SpyKtRenTiwT7X3uvZz53nMEAToyu3SfxECou8YS\\u002f1v\\u002fNUzcki9GYwnNSk3zIpslSmC2c7yKirL+9vusa8CU\\u002ffeN5pidEUzWWXzaku\\u002fLsvX7w18QcvDajZwXp+lbC7E+cPq8bhsv3+\\u002fMxSANCXERWWhlUtVeZQBfYxF75Tw2Oz9g4Do20RA9G3DXyyr8OqY\\u002fQjvyEF1RmgQRV7ZLErVI4S73XyO5b2iEe3fdcfJCqGZWr0eAcxL9CLtjXc6EFa9qwVXDFzAwHiKZzYP4fWWvrtk1SWm+m9xqs7MYHNc6qrjDPKJLqR\\u002feeuEEK1+CrZ7r+bjiYDo20b7AsLz0z2RP4YNqKNHbRklx7SELknXorXcbmtL2HLb87\\u002fdGRTWWjKpuoEe4SwLU\\u002fWsylbtdz8dPKvuhhhX2cDZvZfRXIrzlzVjd5p98BuC0k6UD9J1RKVL0TH+eX2NCcZ1ms+3yPu6fy\\u002f2AEZA9G3AK9Tx5ak\\u002fBLCksR5D+lfTr1clhZIiZru8m+xJohQlJLbdIhoWLkKYvmq1Q4GKPYdJZ1mMKm9iRFkrDYU4byd6Iw8APx18VRrJxf0X0TeS5rnGobzT1pv4DtNtgpBUrMlWsCJbTcRSFEsuhx7cFzDin53wZjdfwsceAdG3D38Fti8iXzp44ui+FEqKqKVYka3mw2x1u\\u002fb4FvCGNthCk3dtMt7opa7mnq\\u002fEUh3Oc2j1JorK4vWWvtud57av4fvq46s2c1LPlWzKx3lwwyjkDjrtXC2wLIc3W\\u002fuQdCJYwmizHzrGtON6U3T85pJ3vD87AB5rByYCou8cs72vwvfTj540CCEEllBknBBvtfRFbqXu4n9XH8lhC0XWDZFun5ja9fTzV\\u002fiRteuJ2SXeTvRmU77CewDtf2gM4T\\u002fV7wOqQwWe2TyUlZlqopazTfdCCo2rLFO\\u002fj1GS6V1fwSTPossOvfSVwJJOhwmwDQRE3z78+Np8TERXCiEVwJSx\\u002fehdX0Gh6CIlvNQ8gKITwtpqnblaUhvKE5EOOdcm44aQ6G4boVRSNhOrNjMklmBFppp5iV6E96G81I5geVZ9Ws16DqvZyPJsNf9qGEJIuh8ZdaSBiDDKuW+09aXMdsgXXcaO6EnfHhWeLlx7IO4tIUTWVxba19f1cUFA9O2gk5\\u002feiOmJ117dDP16VXLowX3IFlzKbIe323qzLFPjTUzx\\u002f96opUYth+pQgZQTJu2GPQGFbjhfzIioQfEkE6sayDghXmoegBeT75Zj7i78kVJn9V4GwJObhm8zO6C0JGQ5vNraj435ciKWouQoTj5yhHldbXEPn9lnF\\u002fAxRkD0HcNnyBP+90qbRTbj6INQShMSitZSlBeaBmFbDqr9lmpcLaiwivSJZGgpRWnIx7s1v23SbIpP1K8hJBVvtfahqVC27fjBfoBRz7WYXr+GofE25rb1Zl6il+lX77TrkGgcZfHM5mFoBKWSS8\\u002faco4\\u002ffCgA3s7KAloxc\\u002fzgANJnOxAREH3H8Dn5byAFWH6RxgnThjGgdxWFkiJsKZ7cNJyUN\\u002fDQt6GOklSHC97sMIvVucpuPVmfSIdXb6B\\u002fLMXidB3vp+qNpNMBsKkVmKDk0LI2jq5dR6sT5dnGIVs04SgtiNolFqXqmd3cn4qQQzrnMG3CAAb3q\\u002fG0A9unoLwihFgX5M93joDoO0AnWatVeJZDSqmU0vSsLePEI4aTypYo99Jsr7T026JDy4wRcugfM70xK7NV3dCP3ul8PSKNLG\\u002fl0KpNJEoRZjbum9lsuwp\\u002f13FSj5VEvHl0ze1CkqawyBKKhzccRGspYkZNCTjv5LHAFmk1Adzf6fsAO0BA9J3DX0T3bv3ChTPGEY+FUFrhKsH960ejtGi\\u002fqQINWjC8rI2QNKk45WmTdxc0YEmXE3qsxhaKl1sG0FKM71EveHfADxpOqd7M8Hgri1N1vJfqSVg6psvPclidqeLRTSMot13SeYfRQ3tywtRhAHQaubURM1MPgm37ThEQfefwF9G\\u002fMFVyUkqhtIYp4\\u002fpz9KGDSWZKVIYdXmgcxBut\\u002fYjZxfbKL60lYysaKbOKrM1VsLFQ7hXXdA\\u002fb\\u002fe37UbXrGBRL8n6ynnfaehHZD6KR24IfNBwQTzKpejOJUpiZTQMQ0sQ0wrLEP9aPYW2ugqjtkis4fPq0Q4hHQ7jGmvvPq4dFx2CGA+EZdkAjIPpO4EXfLSFEko4JHsor2OCq8yYjhEB6ufK71hzSTmIhoKQkA2IphsYTrM5VsTpXaYJj3bQ0BUY0cnh5K0fWrSdRivJsw5AdSl7ta\\u002fjb96Nq1yMEvJPoRaoYpcwusjxdx73rxlJuO+QKLkP71\\u002fKpU8wILoHwu9WKwF2d3i7AThAQfdfgL6Y\\u002fAmnAEma2NtOnDuXYyYNpS5eojpR4vmEIs5sGUGYXUdp0r\\u002fWIZhhZ3kpLMcr7yR7d3llmZKwUp\\u002fVaTpld5IWmQazPVhA9QKLvApNCG1\\u002fVQN9omveSPViVrSRsF\\u002fndqomsz5cRsxXpXIlLz55IfY0\\u002fEaW9SOZZIcR7Xvwk2LbvAgKi7wI6BeVW4ll16cWFpBR85ZJpWJYEbVpGf778MG+yqKlxt6ViYtVmpNCeUmv3KsBIoSm4IY6uXcfo8mY+zNQws3kgoU55\\u002fv0Jc342I8paGRRL0lCIszpXyfyWfvxj3WiqQiXSeZeRg+q59KyJ\\u002fpQeP5mhgNu8t9r\\u002fT62PCQKi7wY8ealbMak2YUmhldIcO3kIZx03mtZUgepwiVdb+nHfuoOJ2wXTtaYkR9Wuo8ousCDZgw358m7NbXce2XRqrxUUlMVjm0aQd0PblL3aH3C1oNIuMqaiCUdL\\u002ftM4mB8unUZBWYQ8WeevXnIENZUxv67dH0X8byHErO6S\\u002ff5vRUD0XYToGMq4AjPYcYtxP9++8mhqq+IUHU2Z7fDL5ZNZmqojbpfIuTYjy1sYW9nEknQNCxI9vCms3Xi+mDz+Ob2XMSCa5LWWfsxt601sq+KU\\u002fQUNIBRjK5qISocnNg3njda+VEcc2tJFjj50EBfOGOc3EnW25jd5b7H\\u002fL+JjhIDouwftWfXbMHO0hfSs+vBBdXztkiNIZArEbM3GQjnfX3I0YFRMa8I5plRvJOeG+E\\u002fT4G4\\u002fUelNchlT2cjxPdbQWIjz8MaR3X7c3YHWMKK8hbgnGGlLjeNqohGbH1wzHdtuX56+NX9QCPHagTSO+OOCgOi7gU5WfQ1mCy8xEzpQSnP1BVM4etJgWlIFaiNFnm8Ywu0rJ1EZyuMqi5N6rKTSLjCrub\\u002fXWdbNuW0vZ\\u002f\\u002fJvkuoCeV5ZvMwlqTriO6mEmv3QdIjlCNmOaYtVQoSqTzXfGYqk8b0NeOWOnzzJHCD96A9ELyPjxUCou8+lDel89eY+dmWrz4TCVv8\\u002fH9Ooao8Sr6kqQiV+Mmyw\\u002fnX5mFYlsPEqgYmVjWwKFXH7Kb+RPZA53x3IIUm54Q4tm4tx9avYWW2igc3jDJz1PcjVbSn7upqwW9WHUrKCRGxBG3pAkdOGsTXP3tE5wmpvjX\\u002fsec2BZH2PUBA9N2EX5zhTev8MmYhaikFrlKMGtqDH3xpOplcEVsCAv5n4XG8n+hFXTzBJ+rXUNIWj2waSUntQCq6i2Ckpktc2n8h5VaJf24YyepMNRFr\\u002f\\u002fWpKw1ldpGffXg4j20cQWXIIVdyqauK88tvn2ompAJCtI9Bfgf4RXeNW\\u002fr\\u002fAwKi7wE6TXt9mY4Zba4lJa6ruOTMCVx1\\u002fmQa23KUhzQNhThXzT+FDZkaLui3hF6RLLOa+zO3rZcZaNDNVj3rhjmhxyqOqlvHB+k67l13MGHpoLpgnPHuwtWCinCe36+cxC+WT6EqVEBpKBRcbv3WKRw0pB5XKaD9CVgArhZCFOnQ2w+wmwiIvudQnoW5EXiDTjPVldLc9KXpHD91KE3JAlVRh2WZGi6aexa9whnO7bOUjfly\\u002frF+DKIrJo3uAL7MVMwqcdXABZRZRe5fP5oV6RrTgNONx94arhZUhPL8edUEvr\\u002fkKMqsElJKWpN5rr3yaM6aPhrXVUgpkbLdmn9fCDHXe7AG1nwPERB9D+FZFi2EKABXYirmhL8YY9EQf7jxbMYM7UFLskhtpMT8RA8ueuc0plRvZEAsyRMbh7Mg2XMnIol7DyN5FeaUXis4pddKlmZq+MPq8YSkC\\u002fsg1abpRPLVE\\u002fjO4mOJSAfbFjS35bj07Ilce+XRuMqQXBgdOBt4Wgjxs2DLvvcIiL4X6LSFXwR8ES8K76fcetaV8dcfn8+gPtUkMg710SJvtPbl\\u002f1YeSo9IjqZSjN+vntDtfjqYAJgtFNcMnkePcJb71o\\u002fhrZZ+xO3ufchoBNrbrv9x9QS+s\\u002fgYotIhbAua2nKcedwofvatU9qDb55fbgPLgSv9KHuwZd87BETfS3hjdC0hxL0Yf93G28K7SjNsYC1\\u002f+9kn6VVfTiLjUBNxWZurYFO+jNpQnic2DufVlv67PKZoT+ErsR5Ru47z+y5hY6GcX684FHcH02D3Fq4WWCjK7BK3LZvK9YuPJSpdQragsTXHyUeO4M4bzyIatkF0pC8xu6NPCyE8rb5gy763CIjeNfAt+7XAAxiyO5YUuK5mzLCePPiLC+nfq5LWVIFYyBDPL2r5+YeHmbHA+6A81dGSrw6dy5jyJp7aPIz714+iLFTo8oeMoyVldglHS772\\u002fnRuXjqNuHQIWYLGtjynHXsQf7r5HMriYZTWSM8VwoQVLhNCzAkKY7oOAdG7AN620s+vXw48i092y1j20UN78PCvPs3Bw3vRksxhW9L4rXaRWc0DuHftOMrCOVwlu62YRQpNzrUZWtbCV4fORQO3LZ\\u002fCqkyNKaLpArIrLVBaUBnKszhVx4Vzz+Svaw+mNlxESLNdv+jUcfz5h+dSURbpTHJfUOJLQoh\\u002faq3tgORdh4DoXYSt8uufBF6ms2VXmqEDavnnrz7N9MOH0tSWRUoBwgx5+MXyyczcPIzKcI6wcHG17BbrbgtNthThov4LObnnShYn67ll6TT29mgaY8VjlkOZXeKva8dxzlvn8HprX+qiRUquJpEu8K3Lj+KOG88iGrG3RfLrhBC\\u002f84JvAcm7EAdCHeR\\u002fFfweaa11FUaK+AilcKTEdpXGkoJ80eGm21\\u002fk9w\\u002fOIRoJEQ1J8o7RPr+o\\u002fyK+OHgeA+IJ8m6IkpJIQZf60UoLYlaJhal6Lnj7bDYVyrh1zEw+N2Q+qWJ0tySp\\u002fYh6RCoiVpGFyZ787MPDeWrzMKLSJR7StGWKlMXC\\u002fOirJ3LR6ePbq\\u002fKEaBd5lMANQohb\\u002fAh7EHzrWgRE7wZ0InsN8BAwHW8qq9JaeKWd\\u002fP2pd\\u002fnB716kOZGjujyMoyBZCjEwluTqQe9yYb\\u002fF1EWyFFyborIQgr22vD78dNc9q8fz9YXHUxfOcf\\u002fkJ5hctYlU+0SZ7UN50fSQdIlaRRoKFdyzZix\\u002fXHMIjYU4tZEiSkFLKs+EUX247doZTD64H66rsaz20lbh\\u002ffuWEOK2gOTdh4Do3YROZI9j2lovwFvcWiOUNtZ96aomvn3bc8ycs5LyWJhYWJApSXKuzaiKZq4Y8B5n9v6QXtE0jrLIu3b7eKO9\\u002ffCUFsTsEl9690TuWTeOw2s28MChT1ATylP0goNbXBMCpc2iiVoOtnRpLJTx8MaR3LN6HEsytVTYDlFbkcw6gODycyZx\\u002fdXHUlkewd\\u002fRQHsxjAt8Tghxd0Dy7kVA9G5EZ6kjrfUtwHXeSy5g+QvfdRV\\u002feGgOv\\u002fzrazS0ZKguj2BLSJcsispiWFkbn+q3mDN7f8jIslYQqn1bLzDadHuytVcIwsKlqRjjgrfP4p22XpzXdyl\\u002fnPAvlBa4WhqtOe+tw9IlYjmgJcvS1Ty+aQQPbTyIpelaopZLecglV9Sks0UOOag33\\u002fv8JzjxiOHmWKYTDTqKYRqAS4UQz3qBN2evbnaAHSIgejfDK\\u002fjwRSYvBO4AqvG38koLjwCsWNvCr\\u002f76Gg8+9z6lkktleRhLQMYxFr5nJMvx9Ws4s\\u002fcyDqveRH0kA1pQ0hYFt2PymyH\\u002frll8VwvK7RJz2nrzmblnsLlQxucHzeNnB79M3rUJSRdbuoBgc76Mt9t689jGEcxqGcDmQpyY5VIWcimWNIlMkT715Vx53mQ+\\u002f6kpVJQZK+4VwnT2x9\\u002fEkHxJQPJ9g4Do+wAe2S0hhKO1HgP8CZjqvawA2Wlby2vz1nD7\\u002fW\\u002fyn9eXUyy5VMRDhGxBwZFkHBtLKEaUtzK1ZgPTe6xmXEUj\\u002faNppEdIpQz5HS3bt9rbs\\u002fcCEy2vDud4ZMNBfP3940k4Eb4z\\u002fE2+OfwtlmdqeC\\u002fZg5eaBvB2og8rMlW4WlIWcohYikJRkcoWqauOc+6JB\\u002fOlz0xlUN9qc2EdVtzfqgP8HvimECIT5Mn3HQKi70P4C1trXQb8L\\u002fANOmZ8W0prgSc4CfDynFXc\\u002fehcZr61gkSqQDxqE4tYgCDjWBRciS0UfaNpRlU0M6GykUOqGhgUS1IfzlIfznnWeEcwj4GcEybj2ly3+Fge3TiSMqvEQeXNrMlV0lAoAyBqK2KWi9aaTK5EwVH0qa\\u002fgnBPGcPk5kxgxqA6gsxX3w\\u002fcSM3DhG0KI+717EVS87UMERN\\u002fH2MpvPw74OTDJe9kFpFJaCFMSCsB7yzbzj2cW8Pwry1ixrhWtNWWxEBFb4ipNUVsUlIXWAiE0NaE8PSNZ6sI5eoSz9IxkqbSLVNoFQmbyM3lvjHNbKcLGfDlNxRgNxTgpJ0zeNf3gOdcmIl3Cltl1Z\\u002fMO+aIiErYYf1AfzjhuFGdPH82A3lXm5JU2mQFzfZoOK\\u002f4X4DtCiE1B0G3\\u002fICD6foC3lZeedY9hBCy+CfT0fqWd8BjiANDcluWNd9fyzOylvPTmCpoTOaIRG60U3ibAy2tLHO+f0l6Yblu0Eh0LwBIaSygsVHu0XaIRUpDNuwgBIwfXcdSkwZx+7EimjBtAyNN0c5WJB0j5EYK\\u002fC3xPCPGkd93BVn0\\u002fISD6fsRW1r0f8C1My2uF9ysuIJTSUqOxZEch48p1rXzuxkd594NNlMfD\\u002frgihADH1TiOxrbMiCbp7w46EduPpCut0RocFywLLEu2v2ZJSTpbYPLY\\u002ftx4zXGMG96Lsni4\\u002fRxcpbwpNR8h+ErgV8AfhBB5rzQ46EDbjwiIvp\\u002fROVDn\\u002fXwQcA1wCSY6D55clVJKaoRQShOyJUtWNXL6F+4lmyth2xZojaOgX48IteWC5pRDoagpFDVFV+O6GqW0IacEWwoiIUEoJKipsGlLaxrbClhSIL0Kvp41ZTx9x2cZ0MfbnrsKhECgtTTRPxM0MPgQMyrpLiFEq3c9gRU\\u002fABAQ\\u002fQCBZ\\u002fWETwqt9UDgUuBioLNOswKk4ypsS\\u002fLIfxZx9Y2PURYLA0Yuua4qwtVn1FMRVaSzCleBozRKGQvubbORAiwpiEcFqXyIPz\\u002fTSEsyT8gyhTGlkst9P7+A4w4bSskxx9sqwObjDeAe4AEhRJt3\\u002foEvfgAhIPoBhm0QvgI4GbgQOBGoZCuy\\u002f+D2mfzinleoq47jKkUurxjar4yrT6\\u002fBlqbS1B\\u002fV7H\\u002fV2vwTQqMIc+eTLSxflyAesRBS0JLIcfOXT+ArF0\\u002fDPw4dbaQA6zETZu8DZnU634DgByACoh+g8AgvOxeTaK0HYWa\\u002fHQW4GiytNI6r+PS3HmDmWyupqoiilSKTVxwzoYbzji4jm3fbA3qdoZQiFgvzz1lZZr3bRHlUIqWkJZnjkycdzF03nbOtstVXMQMsZgshmjqdW0DwAxgB0Q9w+BF6DOlL3pZ+DiZCr5TWUgrBuk0JTvvCvTQ0p4lEbLTWFEpwwXH1TBsdIltQW5BdKU15zOLVxYoHXthINCyQQpDJlRg1pJ7HfnsxNZVRvN2Ar\\u002fyyFJja2f\\u002f23y4g+IGNoB\\u002f9AIcQQgshXI\\u002fktjcl5nJ8PXkhtKs0\\u002fXtX8cvvnIrGkFggsC3Nk6+1smqzJhoSKM+7VhqiYcHyzYLHX2kkbJuofMlVlMVC\\u002fN93z6C2KuZt7dtLV9PAxUKIVq11SGstvPNyA5If+AiI\\u002fjGCV0JrCyGewVTWeXryAsdVHH\\u002f4UK6\\u002f+liS6QJCCmwpyRccHnq5jUxeYlsapSFkaTLFMA\\u002fObKFYLGFZpjkmmyvx46+fxPiDeuO67eWrvijEVz15J1sIUQrI\\u002ffFCQPSPH1xvy\\u002fxD4Ek8MUrLMlVyX754GueeOIa2ZA7ppc\\u002fWbs7y6KspLMtGaIWUIR6elWBDQ5pI2EIKQUsyx9WfnMKFpx5i\\u002fHKrvdPMAn4vhPizlyoLGlA+hgiI\\u002fjGD6BBRBLgCWAFYAlwpBGi49VunMHpYT9I5o9NWFpXMXZLkpQV5aqsi\\u002fGd+gXlL24jHLIQQJNIFjp08hBuvOW7rRhQb02n29UBb\\u002feONIBj3MUWnBpkjgP8AEUwVnZBSMHfhBs75yt\\u002fRGixL4DiKcNhi2thaXl3Qguu62JakUHSorY7z1O2XMLhfDUqDFO3qL43AkUKID4MmlI83Aov+MYVHclsI8RodXXCulAJHaQ49uC83f+UEMrkCAlMY4ziKF+Y0opRCSoHSGqU1v\\u002frOaQzuV+N1nbUH3wRG\\u002feXDYBzSxx8B0T\\u002fG8IJzlhDiToxclQ24tqc6e+lZE7ns7Em0JvNYpuCFSNhs4iwpSaQKXHvlMZwwbRiuq7bOl98khHgikF3+70Cwdf+Yw8uzCyAGzAYmAq7WWKDJ5kqc+9X7mLtoAxVlYVxXY1uS1mSOs6eP4c8\\u002fPAel8INvPsmfBs703jfIkf8XICD6fwE6CVGOAV4Bqujkry9d1cTpX7yXdLZINGyTyRUZNqCWJ2+\\u002fhNqquCc22V4UsxJTFNMQ+OX\\u002fPQi27v8F8Ehue8MeP08nf91VmpGD67nt2hk4rqLkKGJRUxRTVx1H63a\\u002fHMws8ks8kgd+eYAAByL8klSt9c+0QUlrrR3H1Vpr\\u002fcM7Z2p73Pf0356arzv\\u002ff\\u002f\\u002f3tNbXdH6fAAECHIDQWgutteWVqL7gkddRSmullE5lCvqvj8\\u002fTWpuf\\u00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fCBe\\u002fHw+zK\\u002fYVMplu8ly5dKkaPHl3vIZiwYIHXFUc+kdCFA30oJ\\u002f04EW0F5039\\u002foCXSRIM3QAIQAmFFY\\u002fNeSwa5ZFoBPFIlITDIbJj+zayZfNmsmvndlTuqkTVrp0IhYKIhMOIRMKIhCPQtMTvM2m\\u002fEqrLBZ\\u002fPD5\\u002fPB5\\u002ffj+ycHDRp2hxNmjVHs2bN0aiwCbw+n\\u002fD5\\u002fcLn9xNFUUgikYDEJDx0zx349qvPAQAjL7oUd9z7IKLRCCRJgiTJUF0qEokEtEQChBBwzuHz+fD2P1\\u002fHGy8\\u002fX28czVu2QtfuPVB03Ino3LUbzy8o4EySWCIeJ5IkgxCCaDS6SxCxgBEyTmbKtwN7dlz\\u002fR8zZ\\u002fuAQ\\u002feBASktL6YgRI0T66jxl5uIenPHTCeipArx\\u002fbm4eraquGje0b\\u002ffhEIIgSfL0PXYD0p\\u002f8OGNRV1kS\\u002fShl\\u002fQU3+wohesqqyhilUF0uMMpgmAYMXTc558IwTbJj+zayacMGsnnjBrJj21bs3LkDu3Zsx47t21FVuWvv8Td8UUiqwpQmhfEe49me8e15P\\u002fWbqPfX\\u002fo+flOpC7Nm+N\\u002fTv6b8TQqytQnLL8Eto1LgQTZs1R9MWLdC0STM0a9kS7Tp0QlZ2Nm6\\u002f4RosmFcBABj12FM4\\u002faxzUFdXB8YYOOeg1LIV2KCUorqqCmU\\u002fTsDCeXMxZ9YMhEOheufLb9QIAwYdjX4DBqHvwEEiNy+fU0oFAZEAwOQmYtFonFL6k+DiZ4XR7wf27rps1KhRdO9F\\u002ffeEQ\\u002fQDQAhBx44dS9LV6cmzFrQnLuUUM6FfRCA6+gIBn2maiEWjptfrpZFo9JKhfbt\\u002fuGTJEqWyspLvTewlS5YolVGjPaVSXyHMk8BFHw5e4HF7\\u002fG6PB7qug3MORVa4pmuo3LlD7Nq5k2zduoWsX7OarF29CuvXrUVtTQ3CoSBMs+EdArGsXGk3eE+Y9l5GtSM6Z0cKDS0CNmwDX0NjJ5TC7\\u002fejsElTKKoLi+bPBSEEgUAGXh7zb3Tu0h2RSBiUNpy4yRiD1+dDJBzGtm1bMX\\u002fObPw88XusXL4cNbur6302r6AA\\u002ffoPwjFFxWjVpi3Pzy8QsqJACEG8Xi9VXW6EQ0Houv65S3Xf2r9bu81\\u002fVGKMQ\\u002fS9kK5a2wSvqKjwRKl8huBipOAo8vp8mRACsqIiFo0YiXgcissl6Zq2m3AxaHD\\u002fHqvTb+aEBQvyXSYGC06LCUFPwXlvn8\\u002fnNjmHLCuQGEM0GuHxeJzX7t5NV65YRlcsW4a1q1di86aN2LRh\\u002fX4JTVMSWdR7\\u002fdEghECWZaiqilAolJLUv8V50m0CDc0TpRScc7Tv2AkvvP4vZGZlwzCMfRYQAEltwgSlDLIsgzEG1eXClk2b8O3XX+CDd95CPLmnN4w9a\\u002fjws0eI62+5lft8AeZyu6ElEjBMvgjAB5LEvju6Z+clR\\u002fziDwFOwEwa0oxoAgDKpy\\u002fsJink7JBpXqowqbU3wwdD10EoNXdXV5Opk8pIOByWzjx3pKkoCgxdmzFkQM9VAFA2a35PxqRBQvBThMaHEMoC\\u002foAfjDFoCQ2EENPQdbJ6xQqsXrWcLF20iC5eMJ9u3LAO8Xh8n7ExxlJESVenk9bx32eCDhI2se644w4sXLgQ48eP\\u002f82IvvfCtvcWwN4GEEqxasVyzJ4xA6eddTZ0XW+Q6Lbrz74OShlWLFuKyWU\\u002f4acJ3yEWjaYI7vcHMOTY48QZ54wwO3bpJnk8XhYJh0Q0Ev0elLy700W+2Du55o\\u002fC\\u002fzzR7f1zsqCBWVpaygradDgaglxHgJPdPl+manJQRsXOHTvMNatWsh+\\u002f\\u002f5bNn1uBDevW4qLLr4TP66WRSBSCkK2TZy+8nwPDheCdfT6v3zQ5CCVgjCFYW2vs2rWLrF65nC6cN5ctXjgfW7dsRl1t7T7jopTWe1j3J9H\\u002faOzZh1tks1XiwsJC3H\\u002f\\u002f\\u002fRg9ejTGjx+fIv9vjT2L4R7y2xpPqzZtMWjwECTi8QZJbn\\u002fP5\\u002fNB0zQsWbQQX39WiqmTy7G7eo\\u002fa3qiwEKecfiZOOOkUdOzSlSiKKtXW1NQlYpEvTCL+eWzfHrPsz5YKwUZYhts\\u002fdDX+nyZ6aWlKgptCCDJp7uIRMqNXcy6O93g9ACHgpmmsX7uW\\u002ffDdN+TniROkdWv2eFBkWcapw89EPB4nhqGDUnKN4lLhdntgchOGYRiRcIiuXL6czK+YTeZVzJYWzZ+PRKK+xKaUgRBLOtv7zz+blN4f0gluvzRNw\\u002fXXXw+fz4c2bdqkPvdbSfWDHee5F1yMgoJGqK2tqachpZOeMYYp5T\\u002fji09LMbX853r3oUu3Hjj1jLNw7IknITc3V3AhRF1tTRVAPqScvzVkYO9lyXOlhEdDMRB\\u002fBP4X9+ikNNl+BwAmTFjgdWexsznMW2RZ7qO6XBBCiGgkwhfMq6Djv\\u002f6SzJg6GcG6OuvLVrAHOOfo0r07Xn7zHSQDPpD8Lt+ycaNYuWI5nT1jGpkzawYqd+5AIrHHlZW+p\\u002fyz7Kl\\u002fDdxuN7KysrBz5856GkezZs2waNEiZGRkYNasWSguLkYikQBjDABS6vTvcd324tKqTVu8\\u002fWEpJEmCaZqWDUFRgORe274fkizjrr9fj2mTyy3XJefIzM7GHfc+iJNOHQ5JllFbs5tTSinnfKkei408fsjAZQBQUVEhh\\u002fr0EcUEJvDnCZYB\\u002fsckuhCCEkCMTKrojdt2vhgENymS0jcZNSZCwSCf9PNE9uXYT9iCeXNT37UlQCpSjHMUn3ASGjdpgt1VVaitrcH8n3\\u002fCpJ8m0gXz5mDXzp31zr339\\u002f+q5LZBCAGlFA899BD69u2LLVu2IBwOY9OmTejXrx8yMzMhhED37t2Rn5+PTZs21TNe\\u002fZ7jFELgokv\\u002fBp\\u002fPj1gsioyMTBimge1btwAgyG\\u002fUKKXOS5KEnLw8637B0rJqa2rwyYfvYcvmTTh+2Clo1rw5BYBIJNJR8fnenlKx6CtJwTt9u3ffCdjquvhTxcH\\u002fT0j0UaNGUQCw\\u002fZiT5yw8l0rS3ZTSfooig4CYu6uryY8Tv6dfjv0EK5ctBbBH8qYT0\\u002f7b5\\u002ffjkaefBzdMlP88EdOnTEZ1VWXqnJQyAKLBPeP\\u002fB9jz0KxZM0yYMAGdOnWq9+\\u002fp87Vw4ULMnTsXS5cuxerVq1FZWYlNmzZh27Ztv+kYbbtA567d8NYHn8Dt8aJy1w4smDcXM6dNwQ\\u002ffjkPjJk3xwhtvITsnB7FIBDl5eXjqkRJ89N47YJIEc6\\u002fFKSMzEyeecjpOHX4WunbvYUXcJRKIRsM7JSa9yXXzP0MH9lyfnAOW3Jv\\u002f\\u002f7r5fzYIIYgdfwwAUxYsOWZyxcIJ0xcsF7OWrBIVy9aaE6fONu5+sES0bN3GTt0UhBBBKU393dDL5XKJRoWF+7zPGEtPA\\u002f1\\u002f\\u002fbLnKC8vT8yePVsIIYSu68I0TXEgzJ07VwwaNKjeMX6LFyFEMMbEA6MfE++XfinOOf9C0apN230+12\\u002fgUaJ89gJRPnuBWLB6k7j6xpuT91Kqd63pY\\u002fV4veK0M84W73\\u002f6tTFn6RpzztI1Ys7SNWL6gqVbp81b9tSEaQvy7ecu\\u002fRl0cISRPrnlcxd3mlyx6MPJFYvE7CWrxZylq80pcxebox5\\u002fWrRp177ezSTk0B48Sqmg\\u002f0Pk3vvFGBMARMuWLcX8+fMF53wfonPOhRBC7Ny5UzzwwAMiJycnRcT0Y9nEZJJkvayElz059L9ijhVFFR06dW7wPLB\\u002fAmLYqaeJafOWigWrN4pb77m\\u002f3rU1+N3k3y63W5xz3oXioy+\\u002f5XNXrNVnLV4pZi9dLabOX7KhvGLhLaWlpQoAiD1lqR0cCaRP6PfTl2RPWbDkoUkVC2tnL1ktZi1eKWYtXmm88Pq\\u002fRM\\u002feffe7Wh\\u002fs61AXhf+vL0myJN8TTzyRkupWMpz1isVi4j\\u002f\\u002f+Y9o3bp1PcKkH0NR1EM6J7UXhLTF4MD3iuz3PtvEHXnhJWL5pp3iwUeeaHCMDR3P\\u002ftvn94vLrrpWfD95hjln6Wpj+oJlYvbS1WLK3CWzy2bNPcl+PktLxR8i3f8frTCClJZaLg0AmDZ\\u002f0Zkg0qOyLHcxDAOqopqLF85n7779L5RNnABgT5io+Iu4sv6MsPfBeXl5WLhwIQoKCiCEAGMMhmFAkiRs3boVPXv2RFVVVSoldG+bR6PCJjh6yFA0blwInz8AxiTU7K7CyhXLsWThAtTW7IYAwE0OqwzzvrANaHuHx9pJKwdzHfeXPIomTZvjxqsurTe+\\u002fcE2Stpeh5at2+Cq625E8YknCUYpF0Iw08q0e4uL+D+G9u27vbRUsN+7aMX\\u002fC6KnJwyUzV3SVmXkYSFwAaUUkiybu6ur6ccfvEs+eu8dxGOxlJHtr+Kr\\u002fjODMQbTNHHjjTfi1VdfTb1fU1ODrKwscM6h6zqOPfZYzJw5E4SQBoN\\u002fCCEIZGRAVV3oP3AQ+g06Brl5eejeqzdURUEsFoWmaajatQvr1q7B4oXzUVO9G5qWQNWuXVi5Yhk0reEgNCZJVirtAaIIbfea6nJh+FnnYvy4LxE+hNBdO6KOc+vaBhcfh+tuugUdOnXh0WgEHq+Xaon4upgWv+u4\\u002fn0+B2A3k\\u002fhdHsK\\u002fPNHtZnlCCDJt7tKrCCWPyIpcYBimYBITZRMn0DdfeQnr11ldOOwH08HhI0UOVcWiRYvQrl07LFiwAM888wzmzJmDZ599FsOHD4cQAueccw6++OKLVJOEg0Xb9h1Q2KQphp91Llq1bYvGTZogL68AhmFA0zRoWgJ1NTXYsnkTgsE61NXWYs7M6ZhfMRuapqNm9+566bh7QmQpANGgR4UkC1uY5qG7A9PzDgKBAK687iaMvOgScM5NATBKqODCfEWvrbynuLg4bj+\\u002fh3yiQ8Rfluh28gkhhP84c15nRZafURXlFMMw4HK5zDWrV7G333gNP3z3DQCkglz+v7m5fhnE\\u002fn+99+wyjvuJBAWApBps\\u002fWfveRMApKR6fsEFF+Cee+7BM888g48\\u002f\\u002fji1kKqqipdffhnXXHMNbr31Vrz00ku\\u002fTHRCkhVkLHV47\\u002fMOPGowOnbujH6DjkL3nr0hJRNnuGnC5Bw0KVVN00QikcDKZcswd\\u002fZMhMMhLJg7B8uTrtN02EE0RzJ6Lz3kt+i4E3DrPfejsElTEQmHEcjIIPFYdGYsoV15\\u002fMDey8QhFir5NfhLEr1UCGZHtk2qWHwVAX9KdbmzuWmahFDy5aef0H++\\u002fAJqa2v+VGr6bxECWj97y2K0+B0TXQiA5i1aoLq6GuFwGIyxVHCQvRd\\u002f8cUXoSgKbrzxxkO7F0nSA9gnyEhVVeTk5uGEk09DnwED0L5DJzRq3BiRcBiGacA0TDDG4HK74Xa7YZomqnbtQnV1FdasXInx475EdVUlVi5fVu+Udo7BkdD60p+9gsaNcce9D+LYE04SoVCQe71elkholabQry3q2+uL0tJSdrhlyA44lt\\u002fioL8VklKcEkLMH6ZOLXS5A88osnKhYZpwqS5z04b17LUXn8NPP3wH4P+Xmp6Kx07mmB8oLdOGJMlgjIJQmrrRHp8P+fkFyMrOQWZmJrw+HwgIKGOQFQWEECRiMZjcRCKhwTB0RMJh7NyxA9u3bbEKNiJpauYcpmkeUELb96Bnz55YunRp6rO\\u002fdsGjlIFSss85O3bpiq7de+D0s85By5at4c\\u002fIgJZIIBKJAEKAUApFUSDLMgihkGQZ4XAI82bPxJZNmzD+66+wZs1KaMlQZXvOjkQUoz0HjDFcc+MtuPzqa6HrugmASRIztIR++5B+3V8ZNWoU\\u002fa1qzf1liC7SEvZ\\u002fnjb3OJfX84Ysy+00LWFKkkQnjP+GvPr8M9i1c0e9fdKfCX6\\u002fH+Fw+KDHlZ5rfqACE+06dEJ+QQHcbg8oo2jUuBCdu3VHYZNmCPj9kFUFjDKAEDDLQAkmSZAYS2ab2dVYLa2ACw7YlWCtwpCpyqwiWRuOc45EIoFgsBa7du3C2lWrsGHdWpiGjng8juqqKqxeuWK\\u002f5arsnIFfG\\u002feeno6aLoElSUKLlq0x\\u002fOxz0XfgIHTu2g2apkHXdWjxOGhavD2jFB6fD5RQhEJBVFdVYvzXX2LxwgWYNX1qvfsA4LC0pPTchlPPOAu33\\u002fsAPB4vTyQS1Ov1IRqJPjW0f\\u002fd7bdfwkSb7X4LoaQY3OmP+sntB8BAAl6QoRtWuXdJrLz6Lb7\\u002f6AgCsAol\\u002fAiluu13s303TxBNPPIE333wT69evP2Q13uPxwuf3w+V24eghxejStRu8Pj98fj+aNm+OrKxsKKqa2tvqmgbTNK2HUwBWAWYLqfOK9Hf3HX\\u002f673sXeEi9TykYZZBkCZIkQQgBTdMQrKvFlk2bEayrRTwew7q1q1H+00TU1tRCSyTqhQunzmcf\\u002f1dk7zWkcmdkZqFL9+4474JL0Ll7D+QXFCAUDKa0AUIpRLKklIBVIdcf8CMaiWDpooWYNmUSvhv3FXbu2J76\\u002fOFI+XRVvmfvvhj91LMoaNRYxGNRHsjIZOFw+LUhfbr9HYA40qWn\\u002fvRELysrk4qLi42ymQubMon8y+P1nhyNhOHxeMX8igry5CP\\u002fwNrVq\\u002fbJi\\u002f6zoV+\\u002ffvjpp59w3nnnYeLEiaCUwjCM\\u002fT7QiqKg\\u002f6Bj0LlrNwQyMjDw6MFo0bIVZEUGY5KlkicfmkQiYe2HeTJ+gyTLOpM9Vjj7RpucwzSM1CLQUJJNQ6Q+EOzvi2RFWGJn86kqmCSliGsYJkxuoq5mN2ZMm4ItGzdi186dmDzpZ4SDwXrHtIhrGdZ+jbS3\\u002ffg22rbvgGGnno5TzzgTBQWF1pYkGoXMGFwuFS5FgWmaqAuFwYWA2+OFxBiCwTr88O04\\u002fPTjBMyZMb3e+H6thLcNkq3atMXTL72GFi1bIRKJmJmZWSwUqnt7cJ\\u002fu1yBpBj1Skv1PS\\u002fR0q\\u002fqkWXOHMEV9S5GVdrqum4wxWvrh++TVF56FpiV+t6IGBwNbUrdv3x4dOnRIZXU9\\u002fPDDOP\\u002f883HTTTfhtddeO+B3ZVnB8Sefgt59+sHr8QIECIVC0LREUnW2NBdZkizjlyyn1HDGGEApGKVgkpTa0ybrt8Pj8SIjMws+vx8ejweqqkJWFDDGUuc3dAOGocMK9LDm1d4+WPNsu6PofheE1OKRVhnS+ixAqQSP1wNJkhCLRrFt61ZEIxHMnjEV5T\\u002f\\u002fiLraWmxYt7be8VISm1vbigPN\\u002f4EMftk5OTj9zHNw2tnnol37johGwojH43CpCrweNzJ8XhhJwteFrVZrWVnZiEZCmF9RgQ\\u002f+8zZmTZsKAXFYhl77mW3WoiWeeuk1tGnbTsSiUTOQkSkF62reKOrf64akJntEkmL+lERP349Pqlh4lSwrL0EIj8Qko7Jyl\\u002fTi009g4vffAji8lfW3gP3QN2\\u002feHF9++SV69uyJ6upqZGVlgRCCNWvW4KuvvsKGDRuwYsUKTJkyBZqm\\u002fW5FGQghyM3PR2ZWNvw+H9weD1TVBUmWQAiFx+tF23Yd0KpNG+TnF8Dr9YFKDJIkw+PxQFHVVF65XS453TWV3rHlQFVcbE2CMQZFUVJlm5gsoWrnTsyZNR3bt27DuC8+w7Y0IyBgGeTshg4HmjNVVUEoRSAQQLsOnbBh3Vrs2L4tpd4PP\\u002ftcXH3jzWjWrAUi0QgS8TgYY8jK8CMnMwOKLKG2LoStuyohBCwpTylmzZyO\\u002f\\u002f7nbUybMskaD2MQv8LOYG8z8wsa4fnXx6B9x46IhEJmRlYWC4Zqnyzq2+s+y\\u002fUGfrj57X86otv78fHjx6uevMIn3S73rYl4HF6fny9aOI8+8sC9WLd2za+e3N8DNmkzMjLw2Wef4bjjjksRwcauXbswatQojBkzJlUIoSH1+UCO7l9z8w7WC0EoTWkMAJCdm4cevXqjZes2CAQyIMsyWrVpg5at2sCfkWHFKSR92XYxB03TIIRIGRX3B+u6BSwFQECSJPj8fnDOEayrw64dO\\u002fDNV59j7epVmDF1cr15YnYhieTfWdnZOO+iS9F3wCDkFTQCoxSKqsLlckFLaIhGI5g1fSpmzZiGhfPmYtfOHbjw0isw8qJL0aJlS0QiEWiaBkopsjMDaNYoD25VwY6qGmzfVY1ILIZARgY455hc9hP+8+YbWLZ0MYBfJ3RSkr15C7z05r9R2LSpiMdi3OvzsUg4cmtR\\u002fx4vHYmgmj8V0e0LmrJoURYV7F1VVk+PRCLc4\\u002fWS8V9\\u002fSZ57\\u002fBEEg3V\\u002fmNvsUFQ1ex82cOBATJkyJfV9AHjppZfw\\u002fPPPY+vWrb\\u002fpeBvC3tbqtH+wfh6CFdzr9aJRYRN4PF4oioyjhgxFj97WdiMrOxv5jRpBluVUl5d0dZ4kVfGGYEt8wJpHxiR4vV7EolGsWL4Uc+fMxpdjP8GWzRvrlbIihMDr9aFP\\u002fwE45\\u002fwL0aV7D+Tm5iNUVwdNt8grSRIU1eo1t3XzZqxasRw\\u002fTvgOW7dsxhlnj8CgY4bA57dqxvFkG6uCnCy0btoYjFJsr9qNLTsqEYsn4A\\u002f4EYtG8MmH7+Odf72BaCTyqzw+Ntk7dOqMF994C4HMTGEaupAkWWi6MbyoX\\u002ffxhxtU86chum10mzh5Vnu33\\u002ftfVXX10RMJA4RIb\\u002f3zNfz7n9a+9vdW1dOt54eyuNjjfOmll3DzzTen3jdNE+3bt8e6detSLXr\\u002fzKhvZd\\u002fTGFEA+xRlSEerNu3Qb+Ag+Lwe9Ok\\u002fCF179ICiqJAkGZRRJOJxJOJxy3B4ANIDSLn4aNIdBiGg6wZmTpuM6VMn4\\u002ftvvt6n0QIAtGnXHiedNhynn3kO8vILkNASqVwHIQRUVYXb7QYA1NbUoOzHH5CXX4D2HTulNAoAMAwTiiyjVbNGKMzLARcC23ZVYfP2XUjoJjIyMrBi+RK88OTjmDNzemreDoXstvDqP+hoPP3ya2CEccoYBcROU9OHDBnQc9XhxMb\\u002fKYhuR7qVz1o0SJLpfyVFbgnOjWAwKD3\\u002f5GP4\\u002fpuvj4gv82BgEztdqtjw+f3Izc3DhvXrDngMm+Rt2rTB3LlzMXfuXLz66qu46KKLcM455+Ccc87Bl19+CeC3v57fEntH5KVnjaU\\u002f5IqiIDsnF16vD6eecRbadeyIFq1ao0XLVjAMA\\u002fFYDKZpha3SpMtuf7DnixCSDPYBtmzZjMk\\u002f\\u002f4hvvvw8FemWLhDy8gsw4oKLMezU09C8ZWtEwqF9yj0zxuDz+xEKBhGPx+F2e1J2AFuLMzlHXlYG2rVoAlVRoBsmtu6sxObtO8FkFZQA7\\u002f17DP716sswTeOQNU+7os3ZIy\\u002fAfSWPIBwKmn5\\u002fgEUi0Zk8XF1cVFSklZSU4Ne43f5gogtSVlbOiouLjbJZC05TVfU9AZEly7K5eeMG9sBdt2HF0iW\\u002fuRRPV2PTzyNJElq2boNeffuhQ8fO6NGrD2bPnIZnHnv4gCu2Pd6jjjoKeXl5+OqrrwBYD\\u002fzbb7+NtWvXoqSk5E9nSDySsFs9EaDByLkWLVujQ6dO6NqjF44fdgr8AT\\u002f8\\u002fgBiMUvNPxgXnx0vobqsxo2RcBiTy37CV5+WYs6sGQCsYo9GUmvKLyjAGWePxIgLL0ZuXj7C4VCyNdMejY0lvRcN3RcCwIrCVNC2eVPkZgUAANF4Aus3b0NlTRAZmRko\\u002f+lHPPPoaGzftuWQyZ6eLnvu+RehtrbGzMjMZKG60LNFA3rc9Wv3638o0W1VpGz2\\u002fItlSXlbCK64XC6+dPEi+tDdd2Dzpg2\\u002fWQCMLbn33o\\u002fm5uWhY2crnHLA0YN5y9ZtiNvtJoqiwtB1XH7+2Vi2ZPEhkXTvnOVu3bph8eLFv5ul\\u002fY9GQ+G76Q+\\u002fy+VGz969UXT8MPTp1x\\u002ftOnRMRbPZ1WN\\u002fSbUXwkpo8QUCSMTimDVzGj5+7z+YmYxwS0+mKWjUGJdffR1OPeMsuD0ehEOhX9w+pF+LyTkIgBaFBWheWJAi0c7qGqzdtBWSomLn9m24+5YbsWLZ0kN6Vmxt0hcI4KV\\u002fvo0uXbuJeCLOJSZTI2GeNHRgtx9+Ddn\\u002fEKILIUh5uSXJJ81eeKOsKi8Zmk49Pq+YWv4zfeieOxAKBo+4xNuf5M7OyUGP3n1RdNyJomv37rxJs+ZEUVQiOCeJRBzxWAxenx+Ty3\\u002fCPbfeaLfrPahzpmfN\\u002fa8Q+2Cwv4CY3Lw8tG3fAWePvBC9+vZDfkEBwuFwyr12IOs9gGS7aAqvzwtd01ExeyY+evcdTJ86GUB9Cd+5Ww\\u002fcdOsdGHDUMYjFYtB1LeVlOBgYnKMwLxvtWzRNPVcJTcfK9ZsQTehIJOK459a\\u002fY9b0qYd079NbSP3zPx9CkiSuKAoxdH15OEEGDxvUpfZQVfjfn+hCkFElJWT06NG8vGLRHS5FfTaRiMPj9YpxX3xKnnn0YcRi0SNK8r0lKmDtt48ZUox+AweJvgMGicZNmnBJkiTGGOLxuO0fXkFBcqnEcpkkiQfvvI389MN3h231dwi\\u002fF9JSU9PV\\u002fJat22DYqadj2CmnoXmLVuDcRCRp2f4l6cs5ByEEHq8XnHP8+P14vDvmTaxauRwAICtKavEYceEluPK6G5Gbl49QsO7gpTsA3TSRn52JDi2bpaIVd1bXYOnqDXB73DANAzdceQkWL1hwyJKdc44rrrkeN912F4J1tZZ\\u002fva72yaL+ve47VKn+uxM9ZXibOe9+l9f7mJZIcLfbTd57ewx55fmnARw5y7odWGGTSpYVdO7aDccNO1kcNXgIb9K0OfF4PNQuTRQKhWoExAqJssmE4FPDZCah5iRVVf1rVq0UV144gliNGAgON1gpXbvYE74L7F0M4XCOX\\u002f88JHVs61x\\u002fvqQfYM9408eXmZWNQccMxsiLLkH3nr2haxri8RgIKAg9UEK9lZgDAP5ABupqa\\u002fDtl5\\u002fj3bf\\u002fharKXSnpbZomGhc2wb0PjcYxRcciEgnX27v\\u002f0nh1w0B2wI9u7VshFk9g\\u002foq1ME0Tiqpi6+ZNuObSC1BbU3NIWp09D7Is4\\u002fV\\u002fv4eu3XuJRCIuGJOiXJjHDO7dbVFpaSk9WLL\\u002fnkQn9sAmz154v9vrfSwWjXC310vGvP4K+derLx2RePWGHpSc3FyccNJpoviEE0XX7j2Fy+VisiIjFoshEgnHJMamEEI+A2XTBvfqkqpMMGnuosfcLvf9EmPms088yv777r8PcRFKFnawI8awR5of9P6eUssSbRM3LeUUqB9nnv46qGOneRjSjwcgVXvt90C6CzN9HHbSjK1qU8Zw\\u002fEkn49Irrkanrt0sF11aB5gDwTRNKxDH58OmjRsx5rWX8E0yEUpRlFSQzIWX\\u002fQ3X33wbKGWIx2MHdWxCAN0wkR3wg3OBunAElAJerw933XIDyib+UO\\u002fzB\\u002fsM2Z\\u002fr2acvXn7z34AQpsfnY5FQ6Iuh\\u002fXuePUoIWrKniOWBx\\u002fiLZztCsFWNSRWL7nWpric0LWGqqkpff+kF8p8xbxw2yRtSz3v27ovjTzpZFB03zMxvVMAURSGmYSAUCsYZY5NNU0xiLvLx4O7dU\\u002f4yIQQrLy8nLCMjy9TIXH9GoNn2rVv41ZecT3ds3\\u002f6LN4kQCkotCXqgUkSBjAxkZmbBn5GBjIxMZGRmIicnF\\u002f6MDHi9Pvh8Pni8PuH1eaGoLqHIMgilQlFVqxhDMstL13UrWcQwoOsJJOJxEo6EEQmFSTgcRiwaIcG6OuzeXY1QXR2CoaD1M1iH2pqaA87p3i2U\\u002fijYks1OApIkGSMuuAiX\\u002fO0qNGrcBKFQMBWEcyDY1+FyuSDLMiZ+Px6vvfQctmzcWC9ltv+go3H\\u002fqEfQtHkLhELBgyQ7SUU4mqaJzOxslH7wLp58eBQkSYIsy3jh9TH4+vPPMH7cFwdF9vQArYceeQJnnnse6upqhcvlIsLgxx3dt+vPB6vC\\u002fy5Et4NhymctuMPtcT+raZqpKCp9+dknyYdJKXkkUv8AK775qMFDccY5I3mvvv0QCGRQQiki4RC0hLZKUuQPTG5+WdS3x+K9x1hUVMTLy8tpcXGxMali8VVut2sMIcT89KMP2VOPjGrw5qRLImubUH98GRmZyMnLQ4uWrdGiZUs0b9kKjQqbiKysLOHz+4XH44XX74fb5SZcCHBukmT0GEGai8lOSgEAgqTWgvqbiD2\\u002fC\\u002fv\\u002fSQIQIYRAPBYTkUgEsWhEhMMRBIO1qNq1i2zetJFs27KFbNm8Edu2bEU4HGwwACV9u3GkthdCCPh8ftz14D+Qm1cAXdOQ0BJYsnABJv\\u002f8E+LxWCpNFKhf9qlR40Jce9MtOOWMs6zSUclY9V8CT4bpBjIysWPHNox57RV8MfZjAHv27vn5BXjosSdxTNGxqN1dDcZ+uXsZIVZBDJ\\u002fPh9WrVuK6yy9COGS58C6+7G+4r+QR1NTUYNS9d+CnHyYclK3HfuZatGqNtz\\u002f4BKrLZbpcbhaORH4u+rb7CSU4OKPcb070FMnnLrpGleQ3DcPgiqKQ5596jHzywXu\\u002fWpLvLcH9\\u002fgCOO+lknHLaGbx77z7C7XIz3dARCtZFJFn9kgs+jgd9XxUXt4onz0fKy8tZUVGRuZfqQ4QQZHLFopmqy9VPS2j8mkvPpyuWLwNNLij7s94DQItWrdGhU2e0aNkq6SvuLBo3aQJJljklVFDLYCOlyJqMCzdNox55NF0XgKglIHUAgkIgTojQAKqBQCOca1YitWACkISATCCogHADxCe4CBBK\\u002fEKIgCwrhFACiTGr4ETyRSmFaZjQdA2maZqCcxGPx8jWLVvIhnVryaaNG8imDeuxetVKrFu9OlXh1AZlLFVd9dfcP5J8iEsefwbnnHcB4vEYaLJoox1AE4\\u002fHMWXSz1i7ciVmTJuKVSuW7XOsocedgDvvfwiFhU0QDB6cBAYsdV5VFLjcHnzx6Sd4\\u002fsnHEAmHIMsKdF2Doii4r+RRnHnOSNTV1f6yX5+bUF0uhOqCuPqS87Fxw3pQStGqTVuMef9jK2UX1mJ1503XYcbUyYdE9ptuvxtXXHMdQsE6rro9phFLnDK4f\\u002fcfDyY89jclemmpYCNHErO8YuGFEqUfci6Ey+0WLz79BP3vu\\u002f\\u002f+VQUb95bgObl5OOm04TjznJFmyzZtqCzLRNM0xGOxNZzjY1dA+ffAjh3X298XQtgieJ+9ja0GTZ2\\u002f7ETBzQlut0eU\\u002fzyR3HXzDUn\\u002f777uoIJGjdGydWv07T8IffoPQOPCJiIjM4t7fV6h6zrTdZ0IISAxKdWdMxQKagB2MkIqTaCaARs5YRskIjYA5jYiqZVaLBGmspmQXa5EANCCwaAZCATMyspKXl5eztNWcZJctKjf7yeapkmU5soxKajohCiyRhXJpXi5qTURBmkqCJqAoAmEaEYIKeCc5xNKcj0er1tV1dRDZyeixKIxXldXy3dXV5NVK5bRxQvnk5XLlmLzpo37qP6HEr1oP+CXX30dbrnrXtTs3t1g9huhBF6PD5IsYdeO7di2ZQs+\\u002f\\u002fQTLJw3t14qa2HTZrjt7vtw3LBTEDwIUqY9D+CcIyMzE4sXLsTTj47C0kULLc0hmab799vuwmXXXIdIOJwa197gnEOWFRiGgduuvxLzKuakrvH1dz5A\\u002f4GDUFtTi8L8HLhcLqzdtAW3XHPFQcVk2Bpv48ImeOuDT5CRmWkqqsoi4fBXRf17npme7bk\\u002f\\u002fGZEt63rP89aMExVlS+4abpcLhfeePkF8u83Xz9ky\\u002freBM\\u002fIzMTpZ58rzjx7pGjZug2RZJmEQ0GYhlHBBfmXgfjnJwwYUA3U89ub2I+5XAhBSmy336z5n\\u002fr8\\u002fnN0wzAfuus29nOy4YN97kBGBgYdMwSDhxajc7ceolnz5oJQKkzDABeCSZIECCCRiMM0DQ2EbiCELOBCLBPCWEUFNuoG2Xj8Ub0OOqtF7GnnQ8aOHUtGjBiBsQAwdiwAYMSIEaKkpASHWnPsx+nzm8gymgiCJoxKzQU3u3KOXpzzDoTA53Z74fa4IbiApmtglJmaliDr1q7B6pUryNJFC8nMaVOwdcvmeuGpyTE3eE6bAMcefyKefvkNRCL7JxCAlKquKCpk2UpKqdq1C1Mm\\u002fYzvx43DwvkVqbbUN99xD6645joEQ8FkDY6De8RN04DH60MinsCTox\\u002fC+HFf1qtac9X1N+Gam25GPBbfJxORmyZkVYVp6HjwztswufznlIHvhltux9U33ozd1dXwe73o1aktCAHWbNmBpctX4pZrrsDWLZt\\u002fMVnK5su9\\u002f3gY515wESLhEAhluiR4n6P69lj8S3HwvwnRbcn488y5fVSX+zsIkae6VP72G6\\u002fTN15+\\u002fpD35OnqTWZWFk4\\u002f6xycc96FZtPmLRhjEiLhEAzD+IlS+qoZqv6muLjYsMYh2NKlJeJg9jB2kv\\u002fkeUs6EYKZqqz4Vq9ahctGnkkMw4Asyxh49GAMLT4OA44ZjJzcPK6qKtcSmiQEt0InGUM0Et5NKF0kOJaBiNkKlab7FbGxa9eu+3QXKCsTEoqAImDv7cNvCiEEmTt3rgQAffv23SerRgjBpkyZny08tJsAekGgFwS6Aejq8\\u002fmoaXLIspWcEo\\u002fHjWgkQlavXMEml\\u002f2E+RVzsGzJov2e296u5BUU4D8ffYbMrCzoun5Qriz7ebENcj6\\u002fD9FoFKuWL8Nnn3yEsh8nIBIO49wLLsI9D5YgHk+Ac\\u002fOgyc65CUmS4XK58OarL+GtN14FhABLRtVdeOkV+Psdd0NP1s6zFwHVpUJLaHjgrlsxbVI5FEWFpiVw0uln4NGnnkM4HIbEJHRt1xIZfi8AIBqPY922Svz4ww+4\\u002fYar611fQ7A506FTZ4x57yNwIUyfz8\\u002fC4eBLQ\\u002fv1vPWXjHJHnOipsNb581sqQvmRSqyNLMnmB\\u002f95m7349OOHRPJ0qe\\u002f2eHDqGWfh3AsuNtu370AIpTQcDHJTiIkSoc8f07dbyochhGDAobW8scc9ee6ip91u710Qwny85EH204TvcMrwszDs1FNFxy7dhKooIhqNUkmWiSRJiITCOgjZTIDJgPiWG+bCoQN7rW1odS0tLWV5eXnEXohsvFlRIXdWFB+PEx+HmaEwucAkIp\\u002frRh4IzyQgGRzIoCBuTuAGhyvFC27tQQBuCIGEECImIIIQqIUQtZSgElTaIQm+nXvl3VSI8PYVNDJyZP2FRwhB586dy\\u002fr06cNLSvZdHCdWVGS4masVTLOnKXAs5\\u002fwoAbTIzMyUOOfgSb9x5a5d2LhuLd779xhMLvtpH82NEKvM09MvvY4hxx6PUF1tau96KLBVbkopVFWFy+XGqhXLMO7Lz1D63w9w9OCheOTp5wEIGMbBk11wDhACn9+HcZ9\\u002fjkdH3Q9D11OZhhdccjluu+d+xGIxmIYBj8+HaCSCB+++DdMnT0pF3nXt3hMvvDEGbrcHmqahsCAXHVo2TT73ltu1uqYOm6tq8fqLz2PM6y8fRHML63tPvvAqjj1xGNc1jeiGvs5lygMGDOhcfaA6c0eU6PZeYfzMmQG\\u002f5PlBUV0DGGPmuC8\\u002fY488dG+yptkvG972VtNPOPlUXHzFVbxz125ClmRmJSOY42GKV4YM6Pm9\\u002fbVDCSBoaNyzZi3LiRFtsepyNY6EQ6L8p4mkZ68+aNWmnWmYBhFcUBArSYObvEII\\u002fi0HLa90k+kj95LYZWVlUmVlpUjW6k6exjrPlNmLWpsUZzGC1lyIQgKSKYDGAJorsuwmSfeZVZ5YScVyW4NF8q6lN1+wrfPp75NknTYdhq7bWWIagM0A2UoZ3SiEWEsh1kpEXhWSjaXDevaM7DUvtLy8XPH7\\u002febekr90yRKlMC6ONgUfSigZwg0+QEB4JEmC2+PGNZdciHkVs+sR3c5bOPPc8\\u002fCPR59AXV3tQVmzD+L+wTRNeLxeKLKMjRvWY8xrr8CfkYEbb7kdIGQfdfsXDgguBAKBDMyaMQ333HoTgnW1kCQZhqHjqutvwvU33wYBYMfWbbj71huxbMmilLreslVrvPrWu8jNy0M8Hk\\u002fZO7q1b4WA12MV6kxuK9Zt3obt1XW4\\u002fYarMHvG9ANuaRmTYJoGTj79DIx+4hlEoxHT6\\u002fOzSDR09tA+Pb8cO3bsfp\\u002f\\u002fw5\\u002fl1NwIUlJSzoQQYvKchWNUl3sAIcSYMXWy9NQjoyySkwM3NEwnuBACPXr1xhXXXC8GDR7KFVlhCS2BSDg0U2L0icF9uo8jhIhRowTt0mUsSRLqV8WllpSXMwBGnOnn+9y+xpFohEuShDPPGcl13WCmaTJD1yE4lpnC+IkC\\u002f62Fvmh4v75R+xhp4xCwhOw+SzMhRAghyKxZq6s4jSw2Oe3FCOnj8fmaqapqp0gKl9ttLJg7h3zz+ad0w\\u002fp1iEai4JwLActCzyiFLMuQFQWyokBVXcjIyEBWTi6ysrOQlZWDnNxckp2Ti0BGBvyBAMnIyER2bq7CGGsjhGhjV4aNhMOIx+MxJS52l89ZsIIROtMUmG4SspIQshZA3B5\\u002fRUWF7HK5yLJly8zkwlYGoOzNigq5A5NvUCX1RUmW+I\\u002fff0fnVcyGvdjY95abJho3aYJ7Rz2cCmCxpe3BqO77AyEEkiQhHoshFo2iUeNCPP78S6iYNRPV1dUoaNTo0PL+kyG5tbU1GHDU0Xj+9X\\u002fh1muvRDgcgqwoeOuNV+H2etCn30Dcd9vfsX3b1hTJC5s2xYv\\u002ffAv5BY0QiVgNLQgAXTewbvN29OjQ2lpwkmtO00Z5CMc13HbPg7j2sgsQCgb3Gz1nez1mTZ+G7du3Ii+vAIILAdCRhJAvRo0atV8JesQkum3in1Sx4FG3y\\u002fMAIcRYtWKFdNNVl6GmZneqtO7+kL6SFTZtikuvvEaccvqZ3OfzM9M0EI3GloGIp4f06f6BTegjUWInKWVRVlamUn\\u002f2ZLfL3SceixmKqiqMSYhEIross3FCx7u+GuOnnsP2SD1bah\\u002fOGCoqKuQQV4bKMh1mGvxcSWItPR4vamt3Y+mihebyZUuxcN5cOr9iDrGNVoeCzOxs5OTkIDsnFzm5eaKwaVPRtl0H0b5DR5GdmwdFUZjP7yeUMkvymwYggGgkUsUYW8iFOYtIbLxZWzW3uLg4RXohBJs7dy5d53KRkV27amWzFkzw+rwnmrph3n7TtWzG1Mn1Mg9taeoPZKD4uBNwyhlnomPnLvD5AzANE5FI+KBSUw8G9tbQUpsTh+XvNwwDGZmZWDCvArdce2W9xou2mm6741q2boNnX3kDLVq2QjgcqqetWD52E+1aNEGTgtzUmAgh2FFZje01Ifz33Xfw7OMPH1Cq2\\u002f826rGncOoZZwld14lu6Dt1r9LlhM6dq+0o272\\u002fd0SIbrvRJs1ecJ6sKB8ziZk7t++gf7\\u002fmCrJx\\u002fboDDjxdiiuKinMvuAgXXfY3XtC4kBIIxKKxSiH489Fq\\u002fsqwJMmS++lkbePDHbsdsTf\\u002fREV2fce5oC6XC9FYdKMw+RdMSG8f3b\\u002fzktTnhWBLAVFykKGH+8OoUaNoly4lZOTIPVpIRUWFJwKlWABnyYwVZWZltZFlGaFgEFW7dvEF8+eJOTOn02VLF5MVS5fUz52XZStIRvCUdn8g16WqKCgoLETb9h3RuWs30aZtO9G8ZWs0a95cUMYAASbJkl1njYOIjRKTvzK5+L4OiSnD++7RZibNXThEYvKPqqKwilkzyd+v+Rux8wfSH2jKWKoqDWUUzZq3xPCzz0Xvvv3RvVdvcJMne6bFU7nhh0P6Q1LXD4BEIoGc3FwsXbwId950HSp37QSAlI2Ac47uPXvj8edeRH6jxgiHQpD2sjsQAFwIKLKEXp3aQVXkevv1+ctXIxxN4Ia\\u002fXYwlixbuV6rbNq5jhhbjhTfGiFAwCFlRYOj6uUX9e35ux63s\\u002fb3DngXbiDVl3uIeQmCSLEmBaDQi7rzpejp\\u002f7pwDBgRQylLqSP9BR+PK624Uffr154RSFo1ETEHxiW7iH8f17bYWSEWvHVELtU30yRWLxufm5Z1cXVm5XhDyTy1hfGi7vw4QXHPYSDs2Tzfg\\u002fThjUYHgsX6MSedIkjzM7fY0tmuZ7dyxg69fu1rMnTObTptURjasX5fy8QJ7\\u002fNnpJEt3ee1v0S1o1BhNmjVDj159MWDQUaJ5q1Y8NzcPiqKyRCIBSZYQjUTAOV8KggkC+n+G9umzZHLFonc9Xt8lgnNz1H13su\\u002fGfVV\\u002fcU+G69pIj24DrOqq7Tt0xCnDz0Tf\\u002fgPRuGlT+Lw+hELBtF7qAnYpq98D6QZjvz+AaDSMKeXlePbxh1Gzuzo1p6Zp4oSTT8V9ox6G2+NBPLb\\u002f6Dw7Jr5lYQFaNW2cWoiqaoNYvmYD3F4fZk+fihuvumy\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qSNmCEzbqkGigCksae1TCCQCbAmZeH9JBPdMqsPNP9bgqVkh\\u002fLghjq1hE7op4FMIslQKr0yhSMmmjNTqpw5CoekGampqUVlVherd1agL1iEWi0HTdQhYRitFcVluRSEQj8dT0n53dRViUSvAx27HdChBOFYMuwGPx4eb77w7dYy62lq888\\u002fX0ahRIWKxKB79x3146J476pE8KzsHTzz\\u002fMi656hoE62rRuXVzNG2UB8CyYxQ0boxjhhYD2H\\u002fjimAwiHgsRigh3OPxECLRDADIKy+vdxG\\u002fuGQJIcjYsWPJzJmrAnEj+mwgw882rV9vvpksz8wYg67ryC9ohHv+MRpFx51gGLou6boe0QW\\u002fb0if7q8AjkX9zwB7gbX98gMGdK4G8MaCBQveC0WjVxNGbvUFAi2i4TAopeYFl1zBhhx7PN5960189slHEJwfVI0z+wlr3a49KGVgBNgV5VhWrUOm1n7dGof1U6aAmpTiy6t1LK\\u002fW8fkqwK9QtM+W0CpDQlMfQ9OAhKZ+ijw3g8KsGHFqp+aCpswEInlsnvShCyFSqaHWAAnIIXRk+SUwxhAOh3BM0bEYdsrpGD\\u002fuSzDGMO7Lz9GosBA\\u002f\\u002ffA9li1ZnNrj67qOTl264uGnnkPrNu0QrKtD13atkZPpBxcClBAoktVtJr9Ro+SQG158NC1haQaUclmRWSTKrYZwKKr3uV8k+tixoFZgzMLbvV5fD0PXjTdefl6qrqpMkbxbz154oORR0aZdB2EahhRPJJaawrz22H69pgkhaElJCRyS\\u002f3mQtMgayUWc9rTy0F8cP2\\u002feh4iI2ymTrnK5XLnBYB1ycnLNe\\u002f\\u002fxCBtafBxeef4ZrF65ol4Ic0OwVWq3xwMuBGRqETimCzTUb0Fgj5T3yCT1XsIUqNiuYdbWBEAI\\u002fAqBTyZwyxQ5booCL0O+hyJLpQioBBm21GeARAhkBqiMQGEAIwQ0WSVbPlDTh18JSimikQiuvP5GzJw+FTW7qxGPx\\u002fDK888AqO+TP\\u002f3sc3HbPffD4\\u002fEiGKwDoxSqItUL7FEUGQRAXl4+gH1jHezPGpadBZQxq3owYT7rX8rrff6ARLdV9rLZC7oKgbsYY+K78d+wid+PT8X5nnTacNx5\\u002fz94IBAgnJs0oWmlkahx0ylDelc25M9z8OdBkvBm0tBKCSGVAO4rq1j0rojFbmWUXS3LCguHgnzgMUNI527dyVtvvIqP338XEGK\\u002f5a8552jWogWaNGuGeDwBn0SxKWgiYQp45T0SfW\\u002fYkjg1PljEJyCpxWB3XIDHDGwK1pfe9tdURuCSCFQGKMzy2RMiEFAZ8twUx7ZQcUJLF3QTOFJh8naikMvlQqu2bdGjdx+UTZyQqhUPWFLc6\\u002fPh7gdG4ZThZ8Hu6SdJEnTDQF04Ap\\u002fHnTqmklwYOnftDpfbXa+ve\\u002fKkAABN06EbBlzJOoUQZoOcPhDRyVgryYJNmrPg0YzMTM\\u002f2LVvNf77yAuOcA5zjqutvwpXX3WhSxpiu64YQfNSQPt0eT148dUj+10A64ccCtJiQFQCum1Kx4INYNPqIz+crisfjcLncxl33j5L69h+IZx9\\u002fBDu2b9unOZWtYjZt1gJ5eQWIxeMAY9gaNsD5oUdopS8KFAClSDE0VS0TACUEAgKaCUQ0jjoOyAxomSGhfbaCHnkyeuTLyHFTGHz\\u002fJE9fONJO1fBnkwRXXS64XC4snj8P\\u002f3n7TUybPCkVUGSTc+Axg3HLHfeiY5cuqKutTbN5WNpPKBKtd2xZkiCShTp8fj\\u002fisViDYzA5hxA8Ne9EEAoARUVFB+dHLy0tpSMJMSfNW3qGoqqnC87NTz58l23euBEu1YXb73sAZ4+80OTcZPF4fAfn4tqi\\u002fj2+HjVqFAVKfrNEFAe\\u002fHdIIb\\u002fvip5aVlZ0QpriCEfKw2+1pFAzWiaLjTiCt27bHM4+VYNb0aVY8+V4WYY\\u002fHA9XlQjweQ1ATqIxyUHp4BQRSW2yxh4ACgM6BuM4hUSDbzdAyg6F\\u002foYLueQqa+xka+RhMbi0CBrd89nuPw3blydTSBCRi+fcTpthncRKCQ3ABWVHg8Xqxft1afPTeOxj3+aep3u7JCU19554HR6NFy1ao2b27Xq66SG5ZorFEvXPYi4DX64csyfudE1liKW+DgIAghAGwKgSnoUGiW2WhSkRZWZnP1BKPBbKz6cplS\\u002fknH76H\\u002fPwCPPjokxhcVGwYhiEl4vFZJrTLi\\u002fv3XbHHNz56vwNz8OcH2WO0o8nAmzFlM+ZPjInIw4xJlwSDdaJ5ixbk3lGP4KqLzkPlrp1parz1cDPJcmVRCMQMsd\\u002f9+aGCEovYWjKqjhGg0CehWwsJ3fJk9MhT0CzAUtF3milQFTVBCQGj1ucVav2eisjDnp87wibW1hrYHjHRPktC51wFprDIbrvu3G43FFXFju3b8NYbr+DzTz5CXV0dgPptmQHLAyGEwLjPx+LG2+5q0KhGCIGWjAJkLJl+S+15ZA03kkwehzEJNM2wSCEatDI2SPSxY8fS0aNHm8Wnnn2lz+vtIjg3X33hWeZ2e\\u002fDMK2\\u002fwrt17QNc0SdeMD\\u002fwSv65nz76R5H7c8Y3\\u002fPwIhhNsGu2Q+wqWTZy\\u002fU\\u002fIGMKzVNMwxNk\\u002fYUubC\\u002flPoukDR+GbxhyXio4MIy0GW7KJoFZHTLlTCgUEW7LAnZbgqXRBA3hKWawzq3yggIoTC4teCENYGwzhHROEIaR3VcYEfEwLpaEyuqdRhCoFOOguOaq2jit6LWeLLnuizLyMjMxPp1a\\u002fHduK\\u002fw2ccforqqCgBShSMNXUeHTp1xy1334ucfvsenH\\u002f8XhBBM\\u002fH48Lr7yGkj7sfabJsem7TshBBCJxRBLaEhoOuweAfvcm+RPt9sNRbEaRxBCIMCjwEG410aNGkVHjBjByyoqcgUXd0uyJL758nOyfdtW\\u002fPM\\u002fH\\u002fJ2HTvSSCQCbhiP\\u002ffztF\\u002f8YPXo0d\\u002fbj\\u002f39hq\\u002fN2Cu\\u002fUuYuraTLxQzcMJBJ2GbmGlXKCpAQ2kxL014wBliEu203Rp0BB51wJXXMVuCTLP7+hzsTyagNx05LyCVMglOAI6QIhjSOsCUQNgaguEExw1CU46hICdRqH0ARAgUwvQ1EzFce3VNG7QIVMBRIGh25y+AMBcJNj44Z1+PTjD\\u002fHThO9QVVkJYE9WnWHoaNS4EJdddQ1OOm04GjUuBDc5xn3xGXRdx5bNmzFj8iSccsaZqK3ZvU89Oc45Nm7flarya7NU2BOwH7g9Hrjc7mTLKApwVmP9S1G9z+1D9C5duhBCCJ80e9GdXr+3MBaLmnW1tezxZ180OnfrJtXV1tUYpnZjcf\\u002feHyVVfOLsx\\u002f\\u002f\\u002fo7yoiBcTgklzFqjJZxFWPfdfvvWHm\\u002fsrYC0SIY1j9nYNM7clkDDDsE8t0j4HAXAAZnIvbib1cpJU3S3\\u002fuvVZv0LQrVDBwEIVRc1VFHoZuOAIJ3Rw1QXVrUAFMGvaVEwYPw4Tvh2X6ghjZ6tpmobGTZrg7JEX4IxzRiI3Nw\\u002fhcAjbt21Dv4GD0KJVa6xasRwA8OOE71B8wolWoM\\u002fe1ygESMrfT1JBR7Isw+O2mj7UzydIFtv0B2ypTzQtAUJFsqZYeb3j1yN60gjDp8ye3RoSvVJLaNwwDJx7\\u002foWm4nJJtTU1q4QwLy3u13tW8rOHVSDRwV8HJQBGAwKEJgiS2VuM\\u002fUJDQ8stJlPLAs4F9rHSHwoMDtTGeUri2QY0+0fKoJbch9vbYS72qPSZLoqmPobBzVT0baSgTZYEr2TZEEKaCZfbjWyfG9u2bsa82bMw9uMPsXDeXOschKT24LqmISc3DyMvugSnDj8LTZo1QyQcRl1dbaqOO2MSTj\\u002fzHDz35KMAgCnlP2N3dXWqO016uK1V2cYDiVn19DQtgVgshrraGriSbrf0ubOzBfMbN4ZpmoIQwhLxBEyBMHAQVndCiJg0e9FNfq83NxQMGpQQIkkyCwXrysHppUP799xcVlYmOfvx\\u002fy2MHTvW5lGEpAxBzKo+C+yTvWaDC8DFCDxSAzWIDxEEQNJWVV+bJXv25EJYWwXdtPPigQyFomcTBV1zZfTMV9AxR4JHAgyTI2Fy6MwLl2y5wxbNn4cp5T\\u002fhh+++xc7tVrtmm7iGYcDQdRQ2bYbhZ52D0886F40aFyKRSKTU8fSFzzAMDDpmsNXmmlppqD+MH4crr7sJ8XgMjEkwDB2mYWLHtm2YOX0qKnfuhKYlUFdXi+qqKmzZvCmVmZces2D\\u002fnp9fADNpQzBNI07A6oBUS74UUkRP1k\\u002fjU2Yvai0YropGIialjLhcLpaIxd7YuY7dOnJkV620tJQ5WWf\\u002fexiRTJIQEEE7Q1FVXXB7PAD2ldR2BRVTAF6FIKBSHISWv1+QtH2rfS5uncJKfuECJrf87PkehjwPRaccGb0LZLTPlpHjovDJAglDwCQEcU7h8fohcRPLly7BimVLMPbDD7Bp44aU3cGuVsuT2XMdO3fBmSPOR9FxJ6CgUSNEIxEEg3Up6V1\\u002fvASalkCjwiY4pqgIU8rLAAAzpk3FuRdaFXm2b92Gb7\\u002f8DNu2bUEsGt2nO+0vgVKKps2bg5umkCSJmCavIsAOAFg6AvuV6BSAaRL83ev2+GPRqJBlhURj0fuG9u3+JOAEwfwvozxpxWUglQJ7IsG8Xm\\u002f9Dyalumno4KYBAUua53ssUUz33Wam0JDNyTbEGWlkFkKAUQKFWa8CF0XrTIY2mRJaZUpo5rdi4n0ygcGF9T0hYMg+qG6GcLAOwWANPnn\\u002fHSxeuAAzpk7ep0yVlkjAMAwoqorBQ4tx0mnDMfDowXB7PEjE46it2W3F8R9g66JrGnLy8tG77wBMnVQOQggWL5yPKy8aidXJfXs6JFlOdnU5cFcZOwhHURU0b94ShmEIWZZhGrFqI7x7GwCMJg0Q3QpyAf9p7twWDOR8WPuvkJ6IXzu0f8+P0\\u002fbjjtHtfxwGRU0sFoNpmszn9yEjIxPAvkkX8XgcmqaBEgJDAC0DlkzRTDvaTaSMZwLpe8+0v5O\\u002fe2SCHBdFposg08WQ6yZo4pPQPMDQPCChwEOhMCvslQgOzRQQjEGjMigjcCsyErE4Zk+bhI0bNmDid99g5fJliMctyW27zmyCaYkE2nfshAGDjsbpZ49Ak+YtoKoKIqFQKmX0l3rGcdOE2+MFoxS+QCAVZxCPxbB6xXLIspxWsz45t8nzd+jUGfkFjeB2u6FpOqZNKYfeQOWcJk2bwxcIWLn6VpWaHcXFxUZDtd0lAEhWeRHlsxdcntMor1F15a7NhmZeWjyoV7kTr+4AACorKwUASAK7dF2LEgKP2+0VOXl59RhuP7hbNm9GZeUuZGblQDN0dMmTUehjVvAJAQgoGEEyiIVAlaxstSwXRaZKkaFSZLkI8jwMWS4Kv0zhUwCfTOGVAZ6S1JaVXQDQqQK3xwOPAKoqd6K6ahO2bNqEb7\\u002f+HDu2b8fKZUv3KVoKIKWe5+bloWfvvjj5jLPQrXsP5Bc0tloemxr0SBzAL6fq2im9gYwMrF61Eu\\u002f\\u002fewzKf5xYr7IrIQS6rkNVVeTk5qFFq1Y44eTTkJubh0DAjzZt20F1eRDIysTs6VMxY+qk1PeEEFYQjmmiU+eucLlc0DQNggtwYA2AfcPiAEh2bfOy+fMziUHuCgXr5hoCFxcP6rXCMbo5sLHUah4JU2hbCeRKyqQWQghR2KQZASziWT+tB33ThvXYsmkTGjUqRDiUQOtMCa+ckJmKXZeSqreazDCje1nS7d8JrHhuO3SVC4GoUKCoChgAKjhMwyo0sW71SsycMhl1dbVYMK8CSxYtrHcNVtEJNVXr3m70eOKpp6Fb9544ftjJyM3LB6EU0WgMoZpq+F0SZm3XEdIEjmqiQjfFfuPf7ag50zTx\\u002fjtv4V+vvZwqasmYBM6t7jQutwdnnjsSRcceh649elnlpEBQmJ+DZvnZ2FVdi4Ur10BWFZT\\u002fNBGJRKJeS2X79B06dbbCjGMxwgUHpbDcAw0wXUJyb844vVEIzNm2etlZZ511Vq1jdHOQjtGASGa57ZhSsahSVpQWhqGLVm3aAqhfHNI21sWiUXBuNVigQiBXJWmBIPb\\u002fAMO0KE1oUmKKZIJGMjBHdslwy3JS9Y1i+7at2LZlC+KJBDasXY2fJ\\u002f6Amt3VCIWC9UokS5KUMqQBFhFN00TzFi3RpFlznHbm2ejYuQsKmzaFx+NFXV0QoXAEMgU8EsX2OMXri0LYVGfght5+a7T7ITnnVmDN+jWr8fSjJZgzayaAPempprmHSi6XC9fedAt8\\u002fgDCoaDVb07TwLMDEIKjujaYmkeros4e2MkyiqKibYcOVm0AQoih6xyEzgL2LMrpkAgh5syZqwIJHqlimmv4WWedFXKKRDjYB4QIJLdxk+csXEkJ6avrOtq2b79nf5v0b9kq6ratW5CZlQ1JVqxKROnFH4BUZSLOrRJkWiKBeCyW+jsajaBq104sX7oUq1Ysg67riIRCWLd2DXbu2N7gMBVFSTZGMFISUFVdyM3Px7BTTkOr1m3Rd8BANCoshK7pMLmJeDyBSCQGn0uCW2XYHjbx3xVRfLIsisIAw1NDM5HnoYg2EK9vX2sgEMAP343HM4+NRnVVZcpir+s6\\u002fP4Azr\\u002fkMvw44TusX7sGdbU1+PmH73H62eemvi9JElyKAoAgHItBVVVUV1ZiycL5APa402z1vXFhIdq264B4LMZVVaW6rq9WzdgWACgBxN7ZJhIADBjQLkIIeTM5cOLsyR00hLFJ5ywhqOBCXGSaJsnLL0CzFi2xbs3qlNvLfng\\u002fK\\u002f0vXC4XdEMHSf6rZWwT4CaHYehIxBOIxaKoq63Bpg0bsH7dGkQjEct9lvxMQ\\u002fXqFFWFaZj1JCVglXtmjKJP\\u002f4HIzctDr779MOjoIfD5\\u002fcjIyACTZETCIdTsroEg1vbBIxNQRcaKagM\\u002fboxh4oY4ttUaGNzSjdHHZMAlAVFdQJVIyj+PtOv0+wN446XnMOaNVwHskeKMMZxxzkhcdtU16NCpC9avW4v1a9eAc44N69fDpboQClrSm4BAUWTEEhrC0Ri8Hg82bN2ChfPn7VORlxCCTl26ITs3F6G6Ou71+aih6\\u002fMHDhwYtIu47g0p+UW7VDBxIt0c7A8jkiqhgJiR7HlG3B4PuvXshXVrVqdUdpsA61avxiMP3XfY500PWLGhJUNRs7Kz4XK5kZ2Tg+LjT0Trtu2QmZWNdh06ISMzE5qWgJZIwDQ5gqFwqrahR5WgMKAmzlGxQ8P36+OYt1NDZcTKIb+4hw\\u002fX9fQl7QKARIGNdQaa+lnSf29do8fnxTOPP4yP3nsnVWxS13W0adcOd9z3Dww8+hiEQ6Fk4Yg9hrx4LArd0EGpHWVIIEkM1bVBiGTF243JllDpsKvyDik+zi7pRYQQ4ITMAYDycrDi4n3tavV8BA7JHRwIJSUlAACi0FW6pm1ijDVXZFn06NWbfPVp6b453smagumVUewH9VCqytr77PxGjdGlW3c0atwYLtWFFq3boEfvPsjNzYMky5CYZC023EQ8FktWSCUAoaAE8CgMjDAYHFhdo2PGVg1TtiSwslq3LPcCCKgU1\\u002fXy4dwOHsSSUjyqC7w2L4QuuTJaZ0qIaByUAD6fD4\\u002f+4358MfYTMEkCTy5yZ488Dzfdfjf8gQzU1dZAcMsa0bRZ89Q17di+HdFIJNkzToBRBlmSUFVjpbvKsoxxn39mzWPSym7PY1Z2Nrr26AlD1wWTJBYOhWKM0R8BoKiopMGJPaQGDg7+tzF69GjbIFc7uWLxdK\\u002fP2zyeSPBOXbqxjMws1NXW7EPqdCkMWOmcksTgcrvgcrnhcrkgKwpkRUkRlUkSWrZug06du6CwSVP4MzIgyzJ8fj+ys3Ph8Vox4ZquIW759KElEkiIeKogJKMUiixBopZlP24Cm+oMzN+lY9KmOFbWGKiOciiMwC0RhHWBVhkSbuvnR\\u002f\\u002fGCsK6gF8mWL7bwCPT6jCwUMEZ7dwIaRyEAD5\\u002fAE+UPIAvxn5iJbjoOighuP2eB3DRFVciEg4jFApBYhI44dA1Dd179UrNz7Ili7C7uhq5eXmIJxLwKQpi8QTCkSgURcGOHTuwbu1qJCcSwB4j56BjhqKgUWPEYlHhdruJpmnLjunVdZEd3drQvXOI7uBQIMrLy6Xi4mJj6pxFk0zTPD8Rj5PWbduifcdOqJg1Y5\\u002f640yScN+oR9CoUWNomgaXywVJkuDx+uD1eeH2eKC63HCpKmRZAU0Gswsukr5nnnzORcq4VVtTY52DEFBiNSYUIKCUwJMsBqmZQETnWLnbwLydGpZV6VhWbWBnxIRErQKRmS4KjQuEdIETW7lwYy8f8jwMcVPALQFfrI7hpTkhHNVMxU19\\u002fAjrAuAcgcxMvPDUY\\u002fj04\\u002f9CkmXomgaXy417Sx7BWeeOxO7qaqvZhCzB5CJlKW9c2CT1+arKXYhGImCNGkOIOFyqjN11ISQ0HXn5eZj084\\u002fYmuyZYJeksl2XxwwpgixLiEa5kGUZ8Xj8G0KIsAPbGrpxDtEdHBLKi4o4AOiU\\u002fmhEoyFJkvyUMlF8\\u002fAlkzszp9SLkCLE6g+YXFKD4hGGIRsIWKYVljLO7lHDOoWkaEok9PdBIemoa7KfXiuu0S0hLyWAbQgCJAFFDYF2tgTW1BhZX6liwU8P2iJnq\\u002fuKWrEqy9lGDGkeOm+Km3j6c0c6dKusU0jj+OT+Mr1fF0DVfwb0DAtC5laSSlZmJTz\\u002f6EO\\u002f\\u002f+y3Lsm4YcLnceOzZFzHspJOxq6rKel8AW4LWnt5I+v+9yWYO9twYphUJR5NzUlVTC1mWEI\\u002fFUP7jD\\u002fvMvQDQvHlLDDjmGITDYcGoRDRNMwQnE4A9iUcNwSG6g0PC6GTVGULImklzFsxWFOVYXdPEwKMHk4yMzGQBhD0RXNw08fYbr2HAUccgHArWCx218trTs1VovWAU+1dKrAAbiQIyIzC5QFgXqIlz7IpyrNptYFm1jo11BnZGOXaETQhYgTiM2pVkUzUdkDAFdA4Maari2l4+tMmUkDAFVEYwY1sCr80LY1W1gRwvw539\\u002ffAqBOG4joxAAHPnzMbzTz2e2luDAA88+gROOvkkvDNrMzrnu9GngGLmtgSmbE7gjv5+1MQFJCEgSyy1EAohLIMisYheG4rANKx+hVu3bEH5jxMBWJVnAIAQCsFNnHrGmcjIyEQ4GORev59FIpGZu7xsLgAyYsSI\\u002fRo+HKI7OGSMHTuWAjBByAeSLB8Xi0V5s+YtMLj4WHzz5ed7rO9J6\\u002fHqlSuwoGIOevcfgEg4ZPVOI3uksZ1iavuo7aw0WweN6RybQya2h01sC5vYFrF+31BnYHvYtMJgkx9WKIEvKbXtAhNcWMfmwlLnm\\u002fklXNzFi1PauCARqyR0zBB4c0EYn62MgQtAlQiu6uFDtzwZdXETblVFVWUlRj9wN+KxKBiTYJoG7v7Hw7hgxLn4uGILPl6pYUxrL3Qu8O6SCPI9DCzN8U4oqxdvEw5H9mTicUvD8Xgz8eWnpTBMA5SyVFtpITgyMjNx7Ikn2TELRAgBRmjpyK5dtV+KYnWI7uCQYbvZEkT5gUYj2yRJbgyADzvlNDp+3JepvaRI1n6PRiP4+IN30atvfwAWuaO6QFCz4r\\u002fjppU\\u002frpkCtZpAZcREZdREZYyjMspRHTMR0a1SUGFdJGvKE8j2a6\\u002fSS\\u002fVKRCf\\u002fIaILuCWCkR28uKCLB018lvUdRGD6Ng1jFkawrEpHQCWIaALHtnDhrHYuhDWr1p2sKHj60dHYsmlTqrrMZVdfj8svuxxz1uzAi3OjaJkpoZlPwnfrY5ixOYFLuvtQz7mw1+65uqqqnoRXXS5s2bQRP3z3TfL9PbHxnHMcP+zkZGeXWiErCo1GIzUJDR8BQFFR0QFjXxyiOzhkEEJ4aWkpO7FPp22T5iz6xufzXhMKBXmfAYPQs1dfzKuYnerJZxuSyn78AQvmVaBH777Q4xEEdaBkWh0qoyYMbknUuCFSVWjSJb1VcIKAEST32KR+4waxrwXK\\u002fm7cEOAA+jdWcEkXL\\u002fo0UlIx9FtCBt5fGsXE9XEYQiBDJUiYAvkeimt7+iCEVSwiMzMTn5V+hJ8nfm8Fw2gaBh4zBDfdejt2VO3GC3MjqAqbOKO9G7vjHO8sikIIq7KOQFpRzL120LurK1NE55zD7fbg26++xM7t2\\u002fYxwqkuF84aeQE0XQMhlHs8XhYKhT4ddnT3XaNGjaK\\u002flFl6cF3zHDjYC0mpTgQjb0WjERMAk2UZ515wcdIKvgd2oMiY118GBIfOCVr4KY5v4cLOsImEYZHBKxMEFEv19spWxJpLIlAlqxmjrY7bqnpD5mWCPSWhw5pA60wJDw7MwJNDMzGoUEn2gTPxzuIw\\u002fv5jLcatiUGilqGOJ\\u002fPe\\u002f9bdh1YZEmKGlaSyeeMGvPb8M6lU05zcXNz1YAkUYuK9JRHM3akDEkGnHBlfro5i+W4dkkxAf6HubTQSBWCp5aqqYuPG9fjve\\u002f+uFwln1447dfhZ6NCpM+KxmGASo7FYJC4JMgaw6jz+0v1yiO7gV8GWIEW9u83hnI\\u002f3en2IRaPmMUVF6N6zd6ohIwBwbpU6qpg1ExPGj4Pf70c4YeK8jm4Ut3AhaggwUp\\u002fE9kuk7dcPFM1lE9wUQEgTyHFTXN\\u002fLh5eOy8LZHdzwKQRbwybeWxrF33+swevzI6hLcPgVkjLShXWBo5uoOLWNG2GNgwgBSZbw0nNPoba2BoRYtoc7HyhB5\\u002fZtMHFVHUpXxaFKBFkuiogm8MnyGFzJVlASO\\u002fCYo9EIQJAs4uHGB++8ZXVxSWpD9vYnIyMDIy+8GKZV0pm73R5i6MY3R\\u002ffvNkcIQQ8mL8UhuoNfDbujCxXkZZObBuecuN0eXHz5lfa\\u002f7\\u002f15vPbCs6it2Q1JliEEcFNvHwp9DHHj1zd4YGkE90gEl3X1YMzJWbixtx85HoolVRr+Od+S4K\\u002fNDWFb2EQg2bLZ3iroHMhQCa7o5gUjgGGa8PsDmFz2M8p\\u002f+gGSJMM0DRx\\u002f0qkYdtJJWLe9Gm8ujqVy4vM9FOPWxlAZ45CTzSG8MmmojF4K4WAdBBfw+fyYVzEbX5R+bJE7PYGFc5w18gK079gJsVgMjDGSSMQNAfb0ocyRQ3QHvxqEEHPUqFF0+4YVZfFY7Gevz0ej4bA5uKgYQ4qPsyqfJFVPnpTwO3fswGsvPAOP24OYbqJFhoQ7+vkhMfKrerOZAghqlqHtws4evHdaDu7uH4DgwNero7invBa3\\u002fFiLtxZGsD1swqtYiSxmmupPiGUjOKudB13zFER1DlmWEI6E8PIzTyR9\\u002fhzZOTm4+c57QUwDHy6LYXWNAZdk2Q52REws361DpraVnyCg0PoNJfdivWFYmk48HscLTz1er1ebvU1o2qw5zr\\u002fkckStHu6mx+Olhq5\\u002fWWRJc0IOsqiuQ3QHh4UuXbqQkSNHmrKkjk7E4oILQSlluPK6G+H1WR18bYOTXa30i7Gf4Ptvv0ZWViZqozoGN3Phqu5exA5Q1KEhmMIq33xeRzdeOj4Ll3X1omKHhtvLanHDxBo8MKUOkzYlENYFAipJlZyu17GVAAlDoG2WhJEdPYgbHIKb8Pv9+PSjD7Fxw3owZrm5Lrv6erRt2QzTNgbx1Zq41RmW79EIbMoJWME8fsXa96fKTnNe79ySqiCQkYGP3\\u002f8Pli5emCJ3eu+2a\\u002f9+K3Jzc6HrupAkicTjsagAHreHj4PMT3GI7uCwMGLECC6EoEf37jTdMM3\\u002fBgIZJBoJm12798R5F11a\\u002f8FNglKKV55\\u002fBls2bYLP50UoruOiLj6M7OhBSLP26wcCgUXWQh\\u002fFCS1UZLsZ\\u002frUgjPO\\u002frsIj0+swYV0cOyM8ZdCTkqp9Q2q0beC7sJMH+R4KzbCKXm7dshmf\\u002fvfDZGUYjk5duuLsEedhd10I7y+Pp7YaIu04NgQs1T1DpXvELSFIJOL1tjP5+QWomD0Tb73xaspLYX3UMsYdd+LJGHbKaQiHwyCECI\\u002fHSzVdf7Wof8\\u002f5paWl7FBqODpEd3BYsDMeheWLGh2LRmsVVSWRSFhcfMVV6NS56z4qPADs2LYV9972d8SiUTBJRkI3cHNvH05r60bwF8gugJQvfuzKGN6YF8b0rQnEDauGfLr03p91HrDIGNUF+jRWcEIrFyK6AIGA6nLjs4\\u002f\\u002fix07tiVraQhcfvWNyM3wYeK6MObt0OCRDtDnXVhReQVeCjM5AEYognXBevnzNdXVeOaxh1NFKW2VXQiBRoWF+Psdd9pJQdzlciESjaxlcf6s3TbtUO6TQ3QHhw1CCB87diwtGtR7NefmEy63m5qmyX0+H+584B9wuT0pKzKwZ7++bMkiPPfEI\\u002fC4XTAFYAqBu\\u002fv7cUprF4LJai4HEu61CQGJAAGVwC2TlITdn\\u002fTeG1xYLZIv6eKFmgytVRQF27duxeeffGTFoxsG+g08CsXHH4ctlbX4bLV2wH5oBNZ1NPIyS7UHACEgqzIWLZiXaoYIAJ+XfoR5c2al5iQ9eObm2+9B02YtkUgkBKVUMMYo53zUkCG9K5Nt0w4ppdwhuoMjAluFN8OBl6OR8DSfz8fC4bDZs3cfXH3DTSlpZcM0TTBJwjdffo5\\u002fvvIiAhkZ0E0rBfSBQQGc3c6NkCaSseANn1M6RGKngyWl+QktXejXSEZUF4Dg8Hh9+GKs1QaZMQYmMVx0xZXwqgyTt8SxrFpP+dwbgtU9FqnWzVavNw5ZVrFk4QIAqNfmOH1bY+\\u002fRL7z0Cpx4yqkIh+pAKeVen49FI5HSoX27f3iw7rS94RDdwRGBLWGKi1vFuRA3a5oWVVWVhEMhcdFlV+KEk061yJ32kJuGAUop3nrjVbw75k1kZWVBNzi4AO7sH8DVPbzQTEA3Gyb7r62SQgigc4FcN8WFnT0WaYWAqqrYumUzvvi0FIxZFW169O6L\\u002foOOQmVtGF+v1cB+wcxNYWkKHbLk5IJgBQNx06pUu8817JVr3m\\u002fAIFx3y+2IWRVpTEVVWSwaWy8pvr\\u002f\\u002fystNjcuBgyMCKzRWsKF9e8zTDO1B1eWiIMQ0TQN3PTgKnbp2tSzvaWS3Jf3Lzz6Jd996E5kZAZhCQDM4ru3hwwMDA\\u002fApBBHd2rf\\u002fSld7\\u002fXECiBnA2R3caJslIWFaVWzdHg++\\u002frwUu6sqUwQcccGlyPKomL4lhhXVOtQDMJ0RIMEt\\u002f3m3fCmlacjJ7cDG9eusa96ruo5l1edo1rwFHnrsScjJwpKMUkAIzoW44eiebXcdqgEuHQ7RHRxRjBgBXioEq+zb8+VQMPi5z++XEomEGcjIwMNPPpfsG75HstulpRhjePHpJ\\u002fDKc0\\u002fD43ZDkiXUJQyc2taFV47PxIBCBUHNCk45HMJTYqWpts+WcFZ7D+KGFXMnyzJ2bN+Grz\\u002f\\u002fLKVCd+3ZG4OLilBTF8akzcZ+e7wTWGOKmda1XNHNi445MmKGgDANeH0+bN22BWtXr0odOzWepCTPzMzCI09Z8xOPx8EoNTxeH0sktKeH9On6vRDisCozO0R3cERBCBEjAD6SEFM15asj4cgSvz\\u002fAYpGI2bJVG4x+8hlkZmalfOoA6iW\\u002fvDPmn3jonjsQj0Xh93pRG9XROkvGE0MycWtfPzJUgqDGD4vwXAAXd\\u002fYiz02hc0vCer0+lE2cgB3btoJJVq7XueddgEy\\u002fF2trEpi1PQGPbAXapMMmflATaO6X8FRRJi7t6oXJAW4Y8Pn9qNm9G5988O4+kYI26T1eL0qeeBpde\\u002fREJBwGpdT0+nxSKBT8RkR2P2S3M\\u002f8Vl7rnXIfzZQcOGoJd1uioo7rupsy4JJGIV6suFwuFgrzvgEEoeeIZeLyelPU9HZRSTPh2HG644lKsX7cOOdnZiGgmCDgu6eLBy8dn4dwOXrgkgqAmYCQDUhjBLwbbMGKlqx7VxIXjWqoI6wIUluocCgXx5dhPAFg90Jq3bInBxcchEQlj+nYDQa1+iC4le9xzAsDIjm68fHwWjm6qIpyw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SXNmdF+Pp\\u002fxSPLMOXvvs9\\u002f9rvWW7wsJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCU2FjPQBNBPrnNPzH35YjfRxjHYeBnj4YRYuXOgAli1b5m6++WZWrlzp1qxZw5o1a5yIALiRPM6EhIRThHNOdXR0eOvWrdPOucTxnCSSCwvinENE3J3rN\\u002fxJPpe\\u002ftFgsWRESz35cOKxQE+cCkJpzrqwUXYjXpZQ7gtF7C4XUbqB80UUXhc\\u002f+7XXr1mmAlStXOsCJSOL1TwCnvaE750RE3M9\\u002f\\u002fvO8n8o+OnnK5DPLlQpKJXZ+XDhwzuFwOOtwzmKMGfyyzkU4V0HYp5BtTvF4ZMyTntbbTa226frrr+9+xss5p9avX6+WLVtmEqM\\u002ffryRPoCRZs2aNQK4trbM5HJNZh8+fDgEsNaJS26r40MGPUh9K47EfxZRIp7SukUptUhrvcj3\\u002fVcB9Pf3h56f3n1nx4anRbl7IufWZ7TeJCI9gAVYvXq1Wrx4saxcudImRj88TntDX7x4sQAUq+78bDqVrlarTkREa0XK16dkyTMmHigCOBdH11wcZXPO4ZzDOoe1DmMtzuFEDDgQESeqagGUUr7v+2d4nneGtfaVnjEEQbD99jvvukOL3Em7+dnyC5b3Nt6uo6PDS7z80DntDb2BQl0uogCcCBKEhp0HeoiMHXRLJwMBtB4b2wQlglKCEkFrQSuF72myaY9MKv7SSiSyDmMskbFirVPWOSJjXBQZJ0pcfUEgfio1P5vJzK9UKn8U9rl9d9519y806r+sDe5bvnx5FeKlPYCI2BE9+SYn2aM7p0TE3tmx4c5cPrd8oFg0Ldm0fuDJffzlp39O5BwiJ8\\u002frioCv9cl58VOIA7QStFYoETwteFqRTnkUMimyWZ9CJsXkcXmmTigwZXyBuVPbmNCeJ+1pMmkPJUItjKiFscdHsDixIk6nUinxfZ8wDDGRfQBnvhdF\\u002ftde9rLLD0GcGt24Zo1bu3ZtYvDPwWnt0euBOHvvvfdOrobRvCiKwCFKCdv3H6HaW0K3Zomik7s6DENzUl\\u002f\\u002flHHsuh3ip6MDrANr47+LgKfBi739xHF55k8fx8KZE1g4ewJzp7Uza0obvlZExqnQGBWG1lVrNReGoQUkk8lcqlT60nKp9OH16+\\u002f+mjHB164T2Qhx1D7Zw\\u002f82p7Wh33zzzQowoXNniaiZQRA4pUSqQcTm3d2IF3taOekr67GysJLn\\u002fttgcE7iaHw9Mh9GhgMH+ziwv4d7798CaZ8JEwpMn1jg\\u002fDOnsfTc2cyb1s741qyExlKtRdo5R6VSMYB4njc5m83+z0pFvXv9hnu\\u002fGVTDf3v5y5dtgcTgn81pbeiTJk0SgCg0i9vb2rze\\u002fv5IK\\u002fFqoWHTrk6cp7BujATLTgnuuf\\u002f223+IEUF8QdBIJoV1ju7uIt2H+nj8qf18\\u002fdbHOHPOBC5bPIvLz53F4nmTSXuaIDK6FkaEUeSiYtF4Wo\\u002fPZjPvx9k\\u002fuHP9hs+GNf2vN9xwxWGII\\u002fXJcn7suJLjopFDv6Njw5cLhfy7i8Wi8T2t93X18\\u002faPfo8wMPFSM+GUISLxJW\\u002fk40MDkSFVyHDW3Em8eulCLn3JTKZPaKEaRASRwTnntIhVWutsNku5VNrtRP6h69CBL69atcqsW7dOr1q1ynIal9yeznexAG7dunV6wqSpj6bTqXMrlaor5NLyswe2sPZLHYiWxJuPMKpu+MZYCA1Yx8wZ47j24jN41RVnMWdKG6Gx1IIIBCciJuX7nud5VCrV263Yv3zZNdc84pyTNWvWyOnq3U9bQ29485\\u002fdddcs37JFa50OwsiNb83KP3\\u002fzPr7944dRuTTWJpbeDIiAUDf6IILIUhiX5zVXnMXrr1nEnKntVIKIMLJoJRZwuVxOVyrlknP8g7g7Pr58+dpodUeHt3b58mikz+dUMzYSuMdBPRCHH7mLtdZpY4xTSqRSi9ixvwc4jZ+CTYhzYJ3DWIfyPVQuRbFU41s\\u002fepj3\\u002fdMP+eIPHqJYDmjNpXAOZZ3TpVLJiKh8Lpf7mKjrf\\u002fSzn\\u002f1swdrly6PTsYHmtDX0np6euDpGq4uz2SwObMrTHOopsftwP3iaxJk3J41KO1GCzqfp7q\\u002fwle\\u002f8ij\\u002f9+I\\u002f4yX2b8X1FJuVhHdoY40qlkslkMyuy+da71t999+tXrVpllFLudDL209bQ9+\\u002ffb5xzohzniQjO4XxP0dlT5ODhXsTTuGSD3tQ4wFiHeBqVS7Frfw8f+cId\\u002fO3n72DXwV5acimoFx\\u002fG3l2ma+V97\\u002fY713\\u002fU\\u002fr1VIuIalXVjndPiJJ9NI+Vy3y\\u002fum4TYs2q1GlK\\u002fFtv39eBqEUqdNg\\u002f7IRF3pYB6jq+hJCae\\u002ffMn8uq6hodPeUjaZ8MDW3n\\u002fx3\\u002fE9zqeJJP28bTCOXQUhTYIAtfS0vK365ff883bHrqtTURsozV2LHNaGnqjkSVIBbO19ueFQegAsQ6e2HEYtDp98zDHIAKecngqblZxkWADha3Vv4L4yxlBK8fzPRtttf47Yfzz1F9bK3fCjL7RRKNyKXoGqnz8q3ex9isd9JVq5LI+xsbeu1QuR7l87k1eOXvrrR0dMxspuBN0GE3JaV0wE1k5ry2bVcVi0QiiI2N5elcXyOmbVlPSqF8TrBGimo47zfKGSW0BkwoR43IGXzlKgaazpOksehT7UuBZVCoue7VusKGNlOd4w2VdHCr6bD6cYaCm6C95RDUPtIWURalj3vdFXntbX87ja36x4Sme3tXFX73jal565lQGyoFgnVcsFk0+n19KlV\\u002f8Yv0vfu\\u002fly17+VD3fPkbqkZ\\u002fJabk+bTSy3LF+w5dy2ex7SqWSTfme2nO4jz\\u002f++I8YGKiednt0JbFnNYEGKyCOKRNqLF9QZMmMMudNr3DBjDLT2sNn3DVRIGw8lOVHG9v4z19NYMv+HCiHThmcix+YnjhWv+IAf\\u002fOqfRAqfr0vx1MHM\\u002fzmQI4Hd+f45c48xaIHTkBbdMri3Is3eACtFKYWUMin+dDvX8krL19IpRbWH+TOZLNZHUbR7kqxcuOKFdf9evXq1d7atWvHXPrtdDV0ERE67trwaCqVXlKuVGxrPq1+\\u002fsttrP7iHTgl1IuzxjTxntthjEAY7+LOnF7h8nlFXn9uH5fNLTK1LYSMgUhBKPHPPvs1fAva0dPn871fj+Pjd05l8+4cpCyeZzFGcIHmZef08ek37eKsOaX49ZQjLHsc7Pf41a48tzzRzoatLew+lAEcpC1auRdt9EoJNrJgLe983UW859UvJQgt1lkAk8lkdBRF+1RgX3XVdVf9et06p1etkjHl2U87Q28E4u649945BNGjvu+Pq9YCN741K\\u002f\\u002fvOw\\u002fwtZsfQLdm40qsMcqggUcKAoWfMyxbMMA7Lunmlef0MW5cAEbACCYSjIsffErccwberAPrhJQXL8N7+lN85f4J\\u002fJ\\u002fbptJ1JI3OGcBhKh6T2wP+36pdrLr4CLWqxlcO5TlQ8df+w2lu39zGtx8bx+2bWgnLGnyL9i3WHf+WSuq9xq4a8oYbzuWDb1oa5+WNQwSTTqd1EAT7gmq04oYblj8x1pbxp52hNz7Ajo4NrxMl3zPWgoBWSv7ui3dw9wNb0bk0Zowm0bU6auCtrSFvvaibP72qk8XTKkjKQqAIIjW4lGcYEXJXN3jfs5C2bN6b4+9\\u002fMp3\\u002ffnACaIefsoS1eOWw5tX7+bsV+xEHYf39nBN834IfH8ev9+b4yi8nsO6x8RzqSkPKoj2Lscd324qAQjCVGtdesYi\\u002f\\u002fcNrUIpYXARsNptVYRhujYLqy6677rpdjS3ecb1Zk3HaRd0bHWsinFdoaRHnML7W0l+qsWXvEfC9MVko00hrmbJHWzbiwysO8MCHn+Jzv7+Tl8ws46wQlj2MEbx6BH24aTCR+oPECEHJY+GUCt9+9za+\\u002fPYdTMhHhCWNn7Yo7Vjz\\u002fZm84z\\u002fnUYsUKd+CiyP3USQEZQ9rhCVzyvzbW3dx\\u002f4c28Vev3sfElghT9sDF7zNcnAODQ+XS3HnPJj767+vBgacVIKpSrUapVGqBeP53fvazn40XEbt69eoxYSOnlUePC2OcOOfoWL\\u002fhO\\u002flC4Q0DA8Uom\\u002fG9TTs7effHvg9ajanNuQBKOUxNg3K86aJu\\u002fn7FAc6ZVQYjhDWNyPOnxo6XxgPTyxme3J3jpm\\u002fN5d6nWtE5g4gjKnu8fEkP33rndsbnDFEgHCu+O7glSBnwHDsOZvm\\u002fd0zlS\\u002fdPIKpodNYedxuxVoIpB1x\\u002fVezZ42q7eM9eKBR0qVz6YXXa1FWvOPPMkDEgOz0mnlZDxVorgFu\\u002ffn2bw11Qq9UgjtWwaVcXGIeMoWeflnr1WMnjwnlFfvb+zXz7Xds5Z1qFsOwRBeoF898vhkaBTFDyOGd6hTvev5k\\u002fve4QpqawVvDzEb\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N5\\u002fXy1T\\u002fczn0f2sTn\\u002f2A7584qY2qasKLxswYvbdjwdAs3fmEBr\\u002f\\u002fCGTy2O4+fi2JZq+GIO0ocOPvwskO0FCKiUCGZiH\\u002f\\u002f1QT2d2bQvn3ewJp1gO+4a2sLPb0pVD0QJzLM3nUXRyVvf3A7tSBCayXWOZPL5XImil7b+KlhvOIpZUwbeqPLKBI52yFTjDGAExxs33cEghCvCTo\\u002fRGKv4+UMocDq783mn26bhlcfZNAMNMYzNaLwUVUTVjzmTgh477WHefDDm\\u002fj6O7dz9aIBwpomqsYGr3zHLQ9N4MpPnsXffn8WA4HGz0aYIZbYKgFT01wwv8hrlvRga4LnObq703zplxOQlI0rBJ8D5+L23SgQPn\\u002ffxPp5xAX+rr5iGerVtc5Byufhpw+w60Avvqdw1ulqtQqO33OxM2naFNuYNvRGx5py7vxUKlWIImO11vSXamzf1wOeij\\u002fAEaYRAI9sLI6oMhEf+\\u002fk0th8ceo33qUZJPDctCmP1WF853ra0k1+8\\u002f2m+e9NWLjqjSFjW2FBIFSJKoeZjP5zBlZ9cxE9+PR4\\u002fbdF6iN69LgX9gSsP42XqHlw7bn5sHH19Pr733F7duniP\\u002f71HxnP35hZU2uCs4AG3vGcbH3nVPlxVD2MrIYSlKh2P7iST8nE4iaIIJbJoveddBrB6dXNOZ23KgzpRrF8ffxfR52UzWZxz1tdK+ss1tu49EivKNJkVWQdoKJU0tz7VBrp5vPpz0VjaQ7y0TwFvuLCbez74NJ96yy6mtIUERQ+tHX4h4vE9OV79uQXc9F9zOVz0Yu9un9+7KwEXKC6eW+L6Rf1EZQ8\\u002fY9i4J89dW1uQ+nCHY7EO\\u002fJTlUHea\\u002f\\u002fnDGXGFnXLYquYdl3fz2su6+PDyQyyeV8QFMqSyWqnrFTy8aT8D5RpaKax1JpvNYy2vAVi2bH1T2lRTHtSJwDkna9cujzo6OjwcS8IwAEGUEvZ3DdDbW4qr4Ub6QJ+LerB7R3dqVOVFPOWwQFjx8MXxZ9cf5Jcffoo3XdaFqSrCQOFnDEo7vrR+Cld+chG3\\u002fnocfs7U4wC\\u002f+2SNFXTG8qaX9hwteLHwXw+OByccm8J29exZBPzpzbPYfSiLl7ZEgWLC+Bp\\u002fc\\u002f0BopJHLm\\u002f4m5cdjLMBQ3iYWueQjM\\u002fTOzvZsb+HTMqrdzw6nLVXPPHEE6nly5ebZuxqG7OG3iAIgvEOd36tFuCcU0opntzRCbb5pZ1bM7aJwzvPjUB9XlrcGz53Qo1vv3sb\\u002f\\u002fmu7UxtCwjLsY68n4\\u002fYcijLaz9\\u002fJn\\u002fx33Mohxo\\u002fE\\u002fedP5d3V8rhqpobF\\u002fcyfWKVKFTgOzZsL3C4JzX4nsYKTsDLGP7XLbP47oMT8DJRvC+PFB95xQHmTavgIsHUFL93fi\\u002fnzC5jA\\u002fWC6T\\u002fnHKKE6kCFjTsOx8U0OFWpVNBKXXDwyJEFgGvGXvWmO6ATiACkcrn56XR6kjGRAxGthCd3dh6d69ukOIFLZ5d+y1uNFhrBOxMqokDxB0s7uftDT\\u002fPaC49gqpowUHhpQ6Qcn\\u002fj5NK751EJ+ubWAn4+e07sLcWnvuLaQFYv6IVJ4nuVwT4o7Nrdg05ZapPDTBs+3\\u002fO33Z\\u002fHPv5iKShtEICp5vPmyLv746sPx8AftsFZIZSNuuqwLoiFeZwdoxa+e2hc3voiIs9bk8\\u002fmchiUn5WKeAMasoTcq4nByuYgCcFoJvcUquw72Nq3Okkgs8jhrUpWLZ5dgGJHhZqSRpgvLHgsmVfn+H23jc2\\u002ffwcRCRFSKhSv9fMRDOwos\\u002f39nsfaHMxgIFX4unlx8rBCGdYIVxyvO6QdbH6oTKn78ZBvas+QKEdsOZXj7V+fzsR9PR3kWreP3vvzsfr7w5l2IO3o9RRwY4RWL+hk\\u002fLsAMoVnGAShh084ueosVlFIgQpy65VqAjRs3Nt2TecwaegPn7GU67kxzaV+z+1Afh3tKTasRp8VBVXHDon4mtIdE0fAUTZsVXZ+4Yo3wx9cc5u4PbYq9e8WL9+5ZQzUS1nxvFss+tYjvPzwBJ+DnIvyMwdMOXR8dtXhqlXQhIogEyRp+8Jtx\\u002fP13ZvOBb8\\u002fh0k+czdfvm4TOxlH9sOhz6ZkDfP\\u002fdW2nNmmcYs5J4Hvy8aRWuWFCEqn7eKjsgDgBoTW+xypY93aR9jbFObCwGvxTi2o2TfT2Hy1g1dFm1apW59dZb0w45O66Ii6Wd9x7up9RbQnnNqeFurCBpy3ULB0C7pkytHS8N3fmw7LFoWoVbbtrKZ9+6kymFiLDkIQpSLRGP7Mzzhi+cwdWfOovP3jmVB7cVONjnU4mEciVuwBn87ARKgeKjP57Bp2+bSnfJI5WLI\\u002flhyWPFBUf40fu2MKUtime7PcuQjQPtO66ZXxzS9XaA0kJUrLJ5z5G6LLSVKIpwTqZ3dNw\\u002fFwa7JpuGMVkCu27dOrVq1SqTy+UWWmdnh2GsERcZy9Z9RyCyTbkcFgEXCeNbQ5bOK0Lt+eu4RytaOcJ68Ot91x1kxTl9\\u002fO+fTeerD0wgqGi8XIQD7tta4L6nWsm1hkxpDcn5carx4IBHECmkHoAT5ZB0nNe3DoKyxktZPvSq\\u002fXzkVfvIaEcYPrdYhRIHgbBswQA6Hc9+eyHVbwGwjp0HeghCgxKFMQbP0602CpYAO2++maZqchmTht4YjRw5dVYhn2srlcpGK6WrNcOmnZ3g66b0lEJcsXX25BqzJ9SIwheOBI9WdP28wrLHvEk1vvKO7ax86RH+312TufXJtlj0wnOkChHVSLHjcOYZkljH9pQ30mlhoMAJy8\\u002fp5+9W7Gf5OX24QGMi+Z0PTBHAKM6ZUmVaW8De7nT82s9z7K7eDrfrUB\\u002f95RoZ35PIuKilJe\\u002f19\\u002fcvBOjp+WJi6CebhrSzw1ygtQbBKSUUywFb9nbHUZwmzFvF5ZnCFfOKNGd91YmnUV0Hworzerjh7D7Wb2nl3x+YwH3bC2w\\u002flIl7330b99PXr4szEnt04i2BjYT5k6t84vX7eOXiXlK+Jax4L9hEI8QJmEzKcsGMCnsPZ+JW3ee5PVw8VJ1dB\\u002fsoVQLyGZ\\u002fI2LigRuQMgHHjxjXVPn1MGnpD2lmhLg7DEGed8n3NjgM99Jdq8CJko046Di6eXaovS+XFC1GMAhqrlrASR+GXn93H8sW9HOpKc\\u002f\\u002fOPL\\u002fZn+OJgxn29qboKnkEkdBb0fSVvXjZLg5CzdoVB3jd5Z1EPSlCMzQFGjjaDrt4aoUfmfEocb9VaXcszoFoodhfoXegytQJLYgYCcMQrDtj9eoOb9Wq5VEziVGMRUMXwN1yzz0tROaCMAxxzonvaTbt6sIFBhmsaGoehPiG83MRCybWhlSpNdbQdQ\\u002fdkKSa0hryuouP8Dp7BMJYtSa0gnNC4OC935rDugcmonIRRlw8naWmMIA\\u002fDLELC+A5zphYi7cHQ7r0cXfPvq5+zp47CeeQKIoQLTOuvLIlD\\u002fQdzzU4WYy5BWIj2tlizLk4JsQdawgi8bI9jOIZa01GIxA3oz1gYiEaegHHGEM4pjXWCEHJI6x4WCtoBVnPkdKO9nEBb73wCNR\\u002fnkjRU5eCHu6nGwfXYEZbCJl6Cm4ov+McB7qLjQo5McbgrJvp3JE8wJo1a5rmRhtzhr5+fdxU4CyXpDMZcc5Zz9N095XZfbAPdHNOTI2LNxQz20MmFaJ4D9o0t8nI0KiuayzB4xFT9V7+QDE+Z\\u002fByEVFd2fZIRR\\u002ffSkgAK4zLGTKZuMNtSE8L5+jqLdfVgESMMc73\\u002fRZSqbbhH8TJZcwZeiMQp5R6aTqVwjpsytN09pTYc6gPUs2ZPwfAQS5lST\\u002fPbPDTnVgNxyEOxmUjWtMW4wBxdJc8ML+dK3\\u002fh13RgoT1rKKTsYFPRCx6Ig+6+ct2j1\\u002f9ZBKyaDEfVjZqBMbVHrwc\\u002fzH337c5WazsXhWEIzg3OWCv1llC5NLYJrcg5Ad\\u002fy5IEsB\\u002ftTTG0PCGrxcrUpk\\u002f4jiCMW02xJW3Ipw5GiB9pxoN8\\u002fKn813Be1QmvGkE9ZuqwM+RX6S7VjSmrFiVKihEnDffuTzVjz6HH+PNo5C+GsWi1AlGCs46mdnTSzxVgHyrfsPZzhr38yPda2y1p0XdVl1H1xdD7Eif5qvHZb1pBupMIEDg94g3v84b6mtcKkfER71gxL+btcC+PUWv3v9dcbB8f0WzQBY8qjNy5szZiFrYXW1mKxaAQ0Djbu7KwrGIz0Uf5urBVU2vAf90yiq+jx9zccYOHkKhk9lLVkc6HqdeknA0fcyba5M0N\\u002fRQ8q1W48mOVgn8\\u002fUtnB4n7MDFPRVNdXohcUmBxEhiiy1MIpntdXF6JyzuWGf1ElmTBn6ypUrHYAWfYlzcb+5KKGvVGHXwT4YQbXXoWKJZ4P\\u002f6NFx\\u002fGhjG+dNrzAxbzhFgrAnjJS2J7V8NzDCo\\u002ftydA\\u002fEk1dwsKs7zfJPL2TxtOqwDD0udHNs7Uzz9KEMkhp6jMRahzGxpDQMfkaFYZ3MKWBMGTqDH6+73FqLdVayXoqndhyhXKng+SDq+VVDmwIBLxdP\\u002fvzN3tyIDpE5bk52HYAAno0nw9Q\\u002fT1GOTQezbNqXG55Hb2zJG6W1Q\\u002fmd+nbBOoexFn1MEZZSSj\\u002fv744AY8bQG1VI99xzT0stNOdYa7HWSSaleXR7kfJ+A7k0IxrOjpOvw\\u002f+d0eTKTwbPdf4OsPEAiWf8XGOY5PHgwOnhfj71NGiTO48xY+jUn8tBYM9DmBBGIVopKrWQueknefvyg0gmM3IRd4HIxEqvp7vdDhmJ4xaB+e0r5inHoQGf+3fmsK7ecWaEC+aVOHd6GTuM6+yIpaoO9Ka4c2thiMq08S\\u002fGxT3PHLLZjONaxoyh1wtlLNgl+XwhXS6VjNKeLpd7ef8FG2i9fgCMZkQfvZbTsrT1ReE4Our52H\\u002fzHbv2Z7nkk2dxuDcFCsYXIm69aQtTZ1Ti3xkuoeLCfzyHR7a1oLPREAzeoZWgtcKYZ9xX1eG\\u002f+cllrBi6DHasiTrP8zwAa5zSBa9IKqpQ6c4wkkZe39LF92sj\\u002fZPY\\u002fAsSX6dnfm7WgbaOUiDYehWbi4Szp1SYXIgIelLDjsNYJ2SzEWlvGIKcDlKeRyblMVAOYs8eV+6Vh\\u002ffuJ58xYejOOUTEdHR0ZJywpFarEe+2FKnKJjKFgNi6RnhFdezbW8AKxgjGxRNHE7sfGs4JWlt6yh79tboARSRMa43iiTfDfT3i6jgTKCqhGtZ9ks36z+qdcHhKDQzzEE46Y8LQ680Djmx2olSD84IgwIHytbBlbx87+sejvHTTdKxlPMfkQsiZk6q0FwzaM0SVOFCbePkXJs6hOvormqAWq8lEVpjWFiA6boYZVg7fgdKOnpJHOYwnwg5JCUqgPZ+JHQ1xQLh+j3XC0XRvMzBWDJ21a9dCELzET6VytVrVOSeS9Q3\\u002f2lHggYcWQDY1shH3Y6mPMxqXM7x84QB\\u002fcEk3K17SC0aGpESaAIijq+xBrS4bbWBGa1hPtw1v9RY3R0BXyaOvMoSZ64O\\u002fJEwal3tmIA4QsYeGdS6ngDFRAtuoiHOWpUopnBPnaUVnb4l9nf3g1bXBVJN8SSwC2TXg8837J\\u002fKKzyzknV+bR1\\u002fFQ3tjSxDyxeJgcOqscXXpZysYo9jbmzr6gwpmjQtBHc9YZAHtOFz06K3oIb1G3c6Z2Jo9mscXkSgMjbX2CDRXU8uYMPSVK1fW\\u002f+QuVkrhcC6VijW9Dh8pgdeErakSF3joXITyDV\\u002fdMIXXfvkMeqt6cLTv6YojbkeN6nOjtXZ4KYufNvi5iEwhRHuWnUdSoByhVeicYUpLgDNq2LGOeCtg2d2TolafEzek6y\\u002fC9EmtOOdwOOd5Hs65A0ARYM2aNU3zKY76pXujY+3uH\\u002f94XOjkDGMMziG+1uw51E\\u002fQX0YXshjbfOVlcc12nO\\u002f1W0Lu+k07f3nLTD731p31G7Zp7pNTQizf5GINd8\\u002fFOnE1TfeAT1fRoxQoSkFcgbanL8UPnmiDdFyu6gGFtI336FaGLCMF9UyIEZ7uzIAdYn2Sc4inmDahpb5HF6e1ljCK9krd0JuJUW\\u002fo9TlXxrW2LsTJrCAIUCJSCyM27+5iNJQtOSAygs5HfPW+ifzhxd1cvnCAsDp03bPRjKMuo5U2sYBEn8+GbQXWb21hS2eG3T0p9vb59Fc1tqaO5sjTFurZijBQ\\u002fONtU\\u002fn8xICp7TVMVQ8KR74QWjlcoHl4Tw6859eLg7jn3EWGSRNbaM2nMdYBYj3PU1Rru5YvX15tJr04GAOG3pB2Ns6d3VJoyfT1DURaiVcLIjbt6oqX7U1zuX83cUDIEZQ9\\u002fuuR8Vy+cOC0kJKyLpZ+1rmIJ3bn+cp9k\\u002fjWo+M41OtBqOOgmueOulnfotJxzMXYeM1jHUjK8oNHxvPYnhwfefV+3n5pN1gIo3pP\\u002f+\\u002fAEb\\u002f\\u002fQFXzq12xob\\u002fQVY9lvwxzp7RTyKXqCrDx0l2EzQBf\\u002fOIXPSA8AZfohDDq9+jLli0zAM7JhXE+3YnSir5SjR0HekEr7GiwdOKgkHiOX2xqpVZRg9rnY5HGtsVLWQzwTz+ZwdWfXMS\\u002f\\u002fnwah\\u002fp9tO\\u002fwchFoIIxz5YWsYXw+HrEcRWqwyLBRiORlDLu607zjP+bz+\\u002f8xn66Sh5+2mOepkos12i0P781yuOjHgbgXuF1EBCLLnGlttOTSGGOdiOhyuYx1saEvXLiwqW66Ue\\u002fRRcStXr1a4bgkCAKsdcrTii17uqlUg1GVmHbEZT67e1I8tCfPFQsHiMbg8r1hSH4u4vHdef78u7O4\\u002fTftkLakWkKCUDAVDSnLlQsHuGFRH0umV5jaEjKhJeKR3Xn+6Ftz6KvWI+Q21pCznsVLW6wVvnn\\u002fRB7bm+Mbf7id8+eW4gkwz3EdrRPwLD\\u002ff1BbPXsu9cOmrtQ5Smvkzxg9KHCitVRAEZU\\u002fcRoD169c3VVBoVBt6Yx901VVXTQK3OIriCZwpP5Z2JohQmdQo8ujgaUtQ9Lhra4Erzu4fFduOoTK4F0\\u002fFe\\u002fHPd0zmr344i75+D78QG1hQ8ijkQ95w8RHef9VhzptZJp2PYhnmSIHnKPiWbMbQW9YoAc9znDWtxPYjacr9PioX4eUjntyX5YbPLGTdu7dxzaJ+oooa7BtvHI+nHLWix9078kOKwsXNM5ZsS5ZFcyZSDQxKifO0Fmuig4VC4QlovkGLo3rp3hg473npl4pSeWttnMuMLNv2HQFjR5NDB+o5XeX46aZ2aiUP3xsF\\u002ffNDoJH08HMRO7rSrPzSGbzvm\\u002fPoq2hSeUNY09hIeP2F3dz1waf52ju3c\\u002fEZRVIKgqJPWPao1RTWwgO7cxzoTOOnLLaqecsFPTz0V0+y\\u002fgObecNFR7AVD2MEL2s43O\\u002fz+i8s4L7NLXhZ+wxvba2gUpYnDuR4aEcBSZu4dv55ETCGye155k5tJwxNLF+lFDh57KKLLgpXr17ddHbVdAc0HBqBOIu7JJPN4pwzvqc53Fti9+E+8L0mj7f\\u002fNsaBpC33b8+z6WBm6EIITYpzseyTl4kfup+5cyqXf+JsvvOriXgZg2hHUPQ4a2qFW27awvdu2spL55QIK5qopuLUWV3yWSuHAtY9Mh5c\\u002fPDwMoa3XdxNOmW5eE6J7960lY+9fk9cZRjFVXM9JY+VXzmDbQey+Gk7GFUXiYN8P3qijVpFo4ZQKFO\\u002f4bjwrGlkUl6jPsN5ngfCHdBchTINRrWhL1u2LPYTzi3RSmEdzvcVnT0l9h3sA1\\u002fjRmGZmQiYmuIbj4yPo8CjsLW1EWzT2uHnDL\\u002fcXuDln13I+78xl0MDPqlCRFTVKCt84PqD3P3nm3jtS3swoSIM9KAoZuPMnYvTYIeOpPjFlhbwHSZSzJ5Q48p5RUxVEwSKKBT++sa9\\u002fNuq3XEnmYnHLe3vTvPOb86hXG+CsS5OvVUqmm8\\u002fOm7o17kuHnLx2TNQSrDx\\u002flGVy+XAYO+H5hKFbDBqDb2+P7d33\\u002f2bcc6xKAhDBBElwq6DfYSl2m8JAowWBAcKvv94G719flypNdIHNQway18\\u002fF9Fd9vjL78xm2afO4o4n2vBzUezFBzwWz6jw0z\\u002fZzL+9eSeTchFhxUOE59SaM06QjOXHT7ZxuCuN71sIFa88p59szsTxDRUPVAyKHu+\\u002f\\u002fiD\\u002f93V7MDUVz1bLRty9sY1P3DEFnTZERlBZw0+eaGPz\\u002fhzKNy+o2KUU2CBi8tR2Fs6aQBhZlIjNZLJiIrOx0t\\u002f\\u002fNMDKlSuban8Oo9jQG\\u002fvzIOibrT19RhAEDpwy1vHkjsMwSo0c4ptapw3b9uX40RPtqLQZmurJCGOsxEvtTBxs+897J3H5vyzi47dOp2aEVD4irGqUEf7ilQe490ObuP4lvYRVLy4Y+h3ZBQd42lEra77ywITBf9S+5ffO7Yn\\u002f2liOEw\\u002fLDUqav3j5Qd51dSe2rhSr0oZPdkzhqT25eBZ6VfO1ByccnYrzQmk1BAkN5585lRmT26gGcfBXawXChhtvvLG8bt063UyFMg1GraEPotw5uVwuhXNWRMRay5M7O2PF16a73EPHuVjE4GsPToBQnVRF1ReLdbGR+xmDl7Lc\\u002fmQb139mIe\\u002f46ny2HMySKkQIEAz4nDerzE\\u002f+ZAv\\u002f9427acvGXly\\u002fgDS0dbEy7h2b2rh\\u002fSys6awgrmgvnF7lsXgkbKtQxDwkhTr+7SPjX1+\\u002fh7DkloppG+46enhRfvn8ifnvIgzvz\\u002fOyJNiQztAepdQ6X8rhyyZzB1tRG\\u002fly0fB+QjRs3NuUHNWoNvdHr68RdXq9vx9OKwz1lDnQNDK32sYmx9aDcnU+18oPftKNz8XKzmWhUpnlpi58x3L+twNv+Yz4v\\u002f8yZdGxsQ6cNftoQlDWeOD54w37u+h+buOHcHsKKwjyPFz8WRRx4+\\u002fQ9E6ExAFHgXZd0kylEzzkUUQSiUNHSFvI3LzuI2KPX9Gu\\u002fmsD6B8fzv2+bShQOracgroazTJ\\u002fSxsVnT6cWRCgl1vd9Z63d3HXw4P2Aa6ZGlmMZzXn0etWou7Qh7ZzyfbbtO8JAOZ6BPqpdOvWby8GHvjeT82eVmTMhIKip5yz8OBU4B5bYqLQ4\\u002fFw89fVX2wp86q7JfPexcdTKHipr8PMRQU1hIuGi+SU+\\u002fro9LF\\u002fcBzU1OAd9KBgr+NmIjifauf3J+OFhaoozZ5T5\\u002fYuO4Kr6Gd78WJRy2KrmVS\\u002fpY8GMMlv251ApS3fJ49rPLMQZIGVfsLYdQEThghovu\\u002fgM2gtZSpUAUWLTmYwXhuE3V61aFdSX7WYYl\\u002fSUMSoNvVEo09HRMdWKmm+MAQe+p9i2rxtTrKELmabsWBsOjSXrjoNZ3vrV+dxy0xYmtUYE1eeu8joZxL3gsc9LeRbtWRBHrexx68Pj+fZD4\\u002fnOb8ZhqwrSlnQholZVBBXNrMlVPnzdQd67tItM1hDWC1yGU+mnVCzxtPa2aYSBws8ZTFXzP646TKElJCz\\u002f7oeGCBgjtLcHLF8wwJa9+UGtPudA1NDanRRgI0OuvcC1L52LtRYEq5XSpWKx5LTcMuQTGiFGpaE3OtZEvAuUMC4yBlEilVrEtr09x6ef3qRYK6iM5b7Nrdz4uYV89e07OGtmGVvRcYvrCRx9dFTkIfbannIoz8XGrS19PWmeOpjhp0+18t+PjePpg1kIFF4uQrIGEyhqFc3caRXefkk377uik6mTa7iqIqwNv5TXWMHPGb5x3wTueqoVL2uJaoozZ5V580U92EC94ORUEYczwjULSnxxQ5y9cByd2TAklEA15PJLFrBoziSKlQClxKXTaVUulzdce\\u002fXVv3HOqWb15jBKDb2np0cBxmLOaym06f6+\\u002fsj3lNdfrLJtXw\\u002f43phSabEOdMbwy20Fln3yLNa+ej\\u002fvuqwbPx9BoAhDVVeWjU960O6f6wHgnvEt\\u002fnPdY3vKoX0LvouFs2ua\\u002fT0p7t2RZ\\u002f3WFn65o8Cje7MQaPAt2rcYcURlD1KWc2eV+aPLu3jj+T1Mm1iLj63koZQbdjDRubqOW7\\u002fHP9w2bVAN1lnFX193kAntwfN682MRBy+ZWn5Gw8pwjsY5kLTH669ehHFxCs9aq6wxiOIzIuLWrVvX1PGuUWnoN910U\\u002fTe974XnJwXq3vEKY4jA1V2H+wFTzWNEOSJwlhQGcPBAZ\\u002f3fmMuX7l\\u002fEu+78jAvX9TH9Em1WC++oRtf\\u002f+7cM29oqavaHB0j6o5+V2Armk37c2zuTPPo3hx3bm3hkb05ihUNgQLfIp7DpWxceVbxmDGpyssWdfOWC3pYduYA6VwEoSIse6i6Nt7xYK3g5yL+7WfTeHJnnlRLRFDSLHtJH2+9tAvzPHvz38JBW9aSSVuqYX3YwxCPQynBlgOuvmwBS86cSjUIEcFkszldqZQf6U6n7gSkGXPnxzLqDL2xP7\\u002fllntanDMXxNLOKKWELXu7MUGEpLwxZ+gQ3\\u002fziOQTHr7bn+dXW+cyeUmXJzBIvO7PIZXNKTGsLaM1Y0p7FVw5dHzFkrRAZoWYUtVCoRIrOAZ9t3SmeOpTl1\\u002fszbO9Ks68vFQ9ECCVWeNEu1rnzLQQKpwzT2wMum1vijUt6uOKMIrMnVeMHS93A5UUYOMQrGD9reGRbgX++cwoqYzCRkMpYPrriACnfEdWGrvTqENQzFu1DI25gcfi5FKuuXYynhFo87bL+IurTq5YurTRzEK7BqDP0hrRzfrydptELwzCM1XqVigtl6kurMWjnAINeWqUsIo7dXSl2H8zwo0fHg0A+FzFvQsC4bEQhbcj58YoniIRaJPRUPHoqmkMDPsVSYxZg3cU1PLxy8Z1hBZyg05bzZ5a4+owiV50xwDVnFBnfFsY\\u002fb1S9os0NO9D2u84PBdVA8WffnUWx6JHKG4IBjz962UGuXNQfK+8MdSvg4lXMvv4U1YqHGsakVBHB1gKuuXoRL100nVI1RAk2ncmocqWysTyQ\\u002f28XV+o0tTeH0WnorF27Fu3UBX7K17VazQooay3b93XjYeO0yhgJxj0fIqAzFmmcrYNqKDyxL1vvCX2ONeoxS3U09UES1OWZBC8XMaUlYmZ7wPnTK1y9YICLZ5eZ1hJSaK0LptQUUU0RD6Z+cd772dh6Ou0jt8zi3qfa4jRdRbNodom1r9qPGWLeG44+NIyBf7xjamz0Q\\u002fTqqp43z7fleMeKJUdn9ok4EYUg\\u002f+fGGy8qr1u3Tq9ataqpvTmMQkMfbBhw5gql0jjnXDql2HGwyBO7q0TVdDxjbbS49BPdsNLIODT24TAoMY1yoGPD9JUj6ztmtAcsnFTjnClVzpxcZc64gDnjAuZOqsXLdVN\\u002fWBghLMe3i1KNSP+JvcbGCH4+4rbfjOPjv5iGzhicBaUt\\u002f\\u002fqGPUxuDwnLQ4\\u002feGyekshFrfzSTHz40Lt4CDPV6i+CCkFWveSkLZ01goBwgSkwmk9WVSvn+WTOmrVu9erVq9r15g1Fn6MeUGF7QSJJYUuTtVv700qcoBWmUjA5\\u002f7pxQjU5Oqa4IpLXF0458ytKStozPRUxtDZnWGjG9LWBi3pDSlnQj0q4dGCCKu8Bc4A3q1sU15Cfvqlon+GnLrkMZ3v2tOdQi8DKOaMDjQ6\\u002fYzw3n9Q45yg4QWUjlIv77lxNZ++PpqLQdchegUoKthpyxYApvftm5VGphHMgECcMA5am\\u002fX7hwYa2eUhsNt9roMvTVq1ertWvX2l\\u002fcc890G5i5URSiBKkEsKiwkRvfuhloIb5bRwkns6rVHfv9WVH5xrLe1QciVCXWrIOjuflTdA9bF68SyoHinf81lz2H0\\u002fG+vKR56ZkDfOQVB+Il+xCPJ7JCKhdx58Y23vWNOYOrm6E8UEXiA9Ipj\\u002fe\\u002f4RJa8ylKlRARZ3P5gioODHzrZdcuu311bOSjwpvDKDP0ZcuWqbVr19q0kUWkvGlhGDgRpXBVyn07CCVPZDXyIkr4G4UUzb7yb+S+G4jEyqjP9dxoqOw0asQFN\\u002fjnxjd9Cg37WBxx0Ev5hvd\\u002fay4dG9vx8xFhTTG+LeLf37KLQi4iqj1TBup30TDyB7a08qZ\\u002fP4Ny4CHecAJwCluu8pbXXsTlL5lFsRIggvX9lJRLpS4\\u002fkL8EZA2w9vhP+5Qzqgy9gXHhS1rz7bq\\u002fry90KD+taszNH8T3Hb6zvOi9Y2M\\u002f28zU02boehg+Eoji2nKLNHW3W4NG7byfMfzNLTP5j7un4OUjrImj\\u002fZ9ZtYsl84pDXrJH9VbYeze38IYvnkHXgB9H2Yfod5VS2ErAS14yk3e96gIqQYSIIILz\\u002fJQKw+ivr1lxzR43yrw5jDJDb0g7g1wUhRHOoTwtHDpS5W3\\u002fPZMomnpCVF+1xP3PzYoQ15039uGTCoYl08tcNb\\u002fIvCnVWCG5FheUNFe\\u002f21FcPRyQykX800+m8w8\\u002fmY7ORODAVDR\\u002f\\u002f7q9vPmy7iEZuXP1wFs+4o4n2nnTv59Bd9FD+UM3chHBhhHjxuf5y9+\\u002fkmzaoxpECJhcLq9LxeIt1y6\\u002f5iujIWf+XIwqQ683snjOySVhGOIckvIUT+zo5icPFhjS2m4oNK+NH2Vw\\u002fy2xV\\u002fcshZzhtYv7+PC1h7jgjCK2Ggf6mk0gM64FEFJZw\\u002f\\u002f96XT+1y0zUSmLUhAWPf7wqk7WvnI\\u002fUfWFa9mtjRsVdTbiP++dxB9\\u002faw6VUMVGPox8uTiHFvjzt13JmbMmMFCuIeBS6bQul8v7lbgPiIhtRuHHoTBqDL1REWetP0eUmRdFEdY58T3F5j1daF1D59NxZ9FphiOOWhdrmm\\u002fcP5EfPN7Ox27cx58tPxinxSLVNNrwtp7b9lKGf\\u002fzJdP76lpko36K1Iyx6vPKlPXzuzTvjxpoXeEgZK\\u002fh+3Ga6+paZfOyn07HiUN7QWk8bKMDUIt618lKuv3A+xXKAEnFaa2utVc7Y91173fK9oyVn\\u002flyMGkOnESdT4SXaS6WiKHJaiVRqIdv39WDqkeTRILl0shCJp7MWQ8X\\u002f+NZsHt6d5ZNv3MP4loiwomKxxRG8PNYKnmdxAn\\u002fxnVl84ufTkFTdyEseVy\\u002fu4+tv3066Lvz4u7x5ozrQz0Xs6szwvm\\u002fP5qePjUfSJm44GYaRa6Uw5SqvvX4J73rVBXH1mxLA2Uwmo0ul0t9dd92yH65bt06vGiU58+di1CxD1q9fXz9WdVEmk8GB9T3NoSMl9nT2x4qvzR4qP8k44qizUg6dsfznPZNZ9smzuH1jG37WoOuTRkfiMkU2VmPtr2re9h\\u002fz+cRPp+OlzaCRX3FWP9959zbG5w0mlOc08lg6WtCew0sbvvvgeK7+5Fn89LHx6Gw0+DNDRSuFKVW5+rIz+dCbL6cWNl7DmXy+oIul4nevW37N\\u002fx705KMkZ\\u002f5cjAqPXq8nNqtXr1aCvKT+b\\u002fie5lBPkUOH+hBfj5qJLCebxt5U5wyP782z4jML+cA1h\\u002fjrlx9k0vgarqoHHwgn28Hbeg4\\u002flY94ZEeB93xzDo9uacErGMQJYVFz3Xm9fPtd25mYj4gC9VtdaY54NaCVw89GHOhK83c\\u002fnsFX7psYn2f2hccoPRutBFOucf6SOfztH16N4OJVIc7k83ldGig9qMW9Z7TUsr8Qo8Kjr1mzRkTEXXHFFVMtdlEQBFDPAm\\u002fb14Otp0ESnomxcfOLFce\\u002f3jaNi\\u002f55EV9aP5nQxS2gSmJPezIej43VhedbPN\\u002fyxY4pXP9vC3l0ewGvEGEMhCXNmy7v4pY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3g\\u002fyGV0rcIV1IZgL7ijno7sblU1dsqqu8n6Fyx2XVOtGq6Z009QOrvtbvPoIDSlpaFrxihv4HoSnZibyMneh6BYlD1h8HOBOOOOg\\u002fMMVXv1rbVC\\u002f6ltTXlgcIFWsjhCZ+Mgwn2ykpT59x1qzAthEg1VBREBDIegH\\u002fz9h1YuH1tquuIR0k0G6Qbbd2cZUkimpf3Ov5qR2vqdQAYF09WV7i13xFrt7dd1XEzACB1mKV\\u002fsGef1LD0fzPxXSA6BSIKgEAMqP7aM\\u002fYz21cu3lxcCfT\\u002f1xFSLoQa\\u002fWAU8aQDkLoR959hvT1ETGScQOsS1Mv+6\\u002fa1qS7MX+Ee8SjpRhuPJx2CrvYqOq7Z0Zp6HYlmg0Sz2dWa6ti88h8+QoZ+hl9NNIcRcn8cQdTc1pZFP4DKdgIrGWNAYJASo3DP9pWLNyORjIRCHnI0wj36YVHKeHfONU7sDGgBKrIeqheYSCwiWvgQoBswocn2dYTW1pQF8EjxeEiT7f43gC0r6dG+x5AkoEmnXrX8ciHMADukNvtHAJNMpKbGZg98EMCvE9ho0yd5tSHlzwjV6H34nVubLEDKIh8mMqJib6O8jRP4RutlOlT5rwBSpFJH06La4+PurXFJ\\u002fZ+jJLbEwQCpGHzYRKpJvey3PcvvthYfsoXOzQDeP+XKO8ak02l71GOFhIT0xp8ATpu3fPzkOcuemDRnyfW9\\u002fzo1vuziujlLV9XNXhoHUDS6DQC+4E6Nf3305DnLHpjUsHR+77\\u002fWzfzKpMkNy1ZOalj+IQDdGXJHILTDhIw8psaTsbqrl10HPawAEABMnrt04uS5SycCgJ9Sqt2ppWfNXVI7ae7St\\u002flvH7CINAKACfHkqXXx288BgGKkHhIJX6jjLc6Ea+48P4yKCwnpTaD1zpi3\\u002fLK6hiVPx+PJo9snDtWUg5VHXhTubo5RuJNJPjeePDX4LZwQRjDlffMTCYOd0\\u002fxrrBhrUDPBm7Jn02eII3d7+czlW5F5BhVjDTJ7fEPZbEhgBafA8H2YfbhS8LWVyNJ9RNfZ0caodVcvv5QV129eveCfii6\\u002fgR5tyNCkvK3u6XTvB9sDAG1Y+mccjSlJZh5WpdYUXwcAtHb\\u002fS\\u002ftIUiuxK+uI5ztkjL20fP29DtbCIyvvFdIPn3Pd3Utfnrah4O\\u002f9m4LjlXKyChlsylqjT5q75D0kdD4Ie6HCBFMN6O1kIhXi5TcqcDeR+pOB0lhj9JFNKxevKZcAlLqGZb82bux69rIXvbZ64brBHk\\u002fI4FGmGj1YXgtvAXCrE6mZJV4OgEJtAWrzIDbTmMwKYgOQgc11NFtxfwSAhtv8V1+\\u002fwt1TmxnbZQodXqdwhTieVmbfBuASEGsB+oEJN6x4Oedlncp9rxekalyl6+XsptbUvsEee0hpGF5P9PHhh5EmEqZu96VfJNCtgBr4sQMEQAAiEO2AyKItLQu\\u002ff9DnhguqdM7134xkspmbjHE\\u002fpWotVLMAjQXz26ACVewn6EsAAcyjyMqLSviHLS0LX\\u002fGX84eNzgspI8pZ0AEkGdqkINK6hqUfZXZ+pOpZgCyIXYjdpVbntj28eD2SSUaqSYfrkr2+foW7q3b\\u002ffGVzp3EqYuJloeIFsfEENhGAXdhc54PG2M9uWrn4hXLZooQcnTIXdADxpIPxG7Vu96XvY478FOoxmQhUPKh4b7InV2067ayXAGAYW6V7il00LJmubO4hpVlQ8e8vEQA9AEhqy+rF3zj0MyHlT\\u002fmHTrY2WaTTFqp\\u002fyW4lq8jzUsik1BZ2OrGxp3oOXTOMBbyIAsA5190d3dKyeAM8+21iZkCJiJjYVVU83SPkSUYo5COKchd0AkhPm7d8PAHX28KBn+UdunpLy6ImIZpXyO57hhUfB0BlIOx4+YE9BSSaDZiuZSdGILKqshNEBoR3T7pq6dvCSLqRSXkLeqKZASCal3cpIbll5Rf+fMeDC3aifoW7dfXCdTnb3iDA\\u002f9TFby+Dyqq+UW3K9jdHEahRvOxeUv0\\u002fYnCl2NxPnEhNjA1uAEiRmD6MrzMk5AhMSzRHen4rCnNPOOs5190dLfWY+p0gPHdyw7KPTZ6z9KmpVy15e+8\\u002fT55z562T5yx9YGo8GQtbQoWUG700V5LxFuNjsVxy+TB57tcuOe3C5VUAehJhguuuiy+\\u002foO6a5NjgraFWDwkZ\\u002fhwygYVaPKRcGfuu5Ki6mXdVDPY4SksfHV96tHuozUcYZT3LV1RXLdBK6+eOjxiNRn0E\\u002faQEvlstdK2NMMrx4ScAmJZIRljx96RUD4CwMbQ0A37hjanxZGywxxFSWspM0JV8l5rS\\u002fjerryQnOgqkHwCgSG8oVlYdmQTFK4Sr3+eh4gYAI2iVE1IeNzqRMN1x2+lGC5AS8F5iR0l11uRZSyf2Wraivr6PUs3lCXUX4IB+lBz6CwDAQ2Vy\\u002f0OOyvDWcH4LItTFl08ntt8A8QwABxRKBEwEcQVUVVV3EugAiCMgUlLvXy875cw703403EiI+SYAWnfNXWPhFTZAKRPr7Lr45adSB476yZCyYHjP6EErpLbWBc8DfJMCazhSdY4xsbMBruhuYWSc00yk+m0ARqt6X928umt5uifktTyFPJ50TpsX+NPjSQOAOF+4nDl6OrEzJVNd6dsugrp4E+qTlTiWOnohw5LhrdF76NbKU66+c76CvgLVU4AgzZoMFPZ+Enx+S8vCV6AgUJkKeFB0Y+LVt48lNYsZPBeQA1CyIJwJ4qkACCovQ7EFpAZwalTtw8Lel7etunXPkWvRhQxXhrdG76HYEIE2r\\u002frCvRBvu185xr8+8nul\\u002fvOWloWvYP4Kt3yFHCgK6LZVt+62EW8ZVJ9hp\\u002fIqdisaQHwGVAgqIOJz2I01sFt1lULXcSS\\u002fdNuqW3f3PkZI+VAugo5iokbdu5e8C8TnEDGrYi8UIBMlCD4CANg7ZiRUU1EA9MYDt+3a0rLwU9br+qBI\\u002fkWABAqBQlQhYvNt6mX\\u002fqm31Fz6++bdf3I6RYa8YkZSNoMd3biAASi7mmVhtpdjcj9l1poPl\\u002f6jYfUp0\\u002fTnX3T3Kt8oP5yy1Y8Zf5dTPd9tWL\\u002foFpJBmEwUIAqiyEwXE\\u002fmLzqi\\u002f80N+bhznq5UyZPPD+vrQucVeM3vR+poQ1basX\\u002fVPxr3Xxr15Axv2OgO7cunrBTxFPOmhNeX0dsTzwXY4T6pOVZlTF70yk+gpb6CxASY1bEbGFrrU56Zq9qzXVEZaVKm\\u002fKxMrq1yg3OzmqBl\\u002fcsnrRs0CSkQSwcTq1pRufn3LlHdcjYiYDwMgQcgBoIgDqjKo9k133ClvIvsqC+VatFZv9VxOprncKOBfAs8X3DvKAQ0KOg0MjvkZqBFjgOpvcsHTplLlf\\u002f+W4ePL04p8mxJOnTp77tf+e1LDszt7vDQkZJhxRqPvI6ipX\\u002fOaQkxqWz0E87q\\u002feEgnT3cstkTCT5ixt6G4kGRIyvBnRD\\u002fGhxTcO8+9ysdWEhIxkkoerrnPQ30JChjcT6pOVZ81bPj74dSRrrpF87SOeMp7NfU1lRkenF0Ru9l9KjuSHPbSoj2DKUdD9UklBpByLmQ3BRybckKz0e5+PzHJK51yXHBUPk1ZGLOUo6H6ppCA7TYB5HKma4rRXTvP\\u002fPMLKKQXCnc\\u002fV3LiJKq\\u002fwXwz35SONsprhp1x5xxgy2QwAuBVjNduVOZcI74AqyNCHzrnu7vWdzh6zffv2wtTqt1e5FZx5+YHP5gZ73ANAz2plNgStSoqlH7RE5wJoRRyM1oMmupEx6Y1gymH5SgA0mUzyvz9c9RlAbyFmgWgGQC0I4wCCQrNQ3Q4CEXG1iq4h4HNbWha+Wu5pmafNWz4+YrFZVTe0SedlIycyMKRIOQi6T5BjXtew9KME\\u002fmeOVJ4iXheC4hMAADIREBmIl\\u002flhDoWbd66+bQfKLGPrnOvujppINvLiLxd1nnPd37kv17zhTdl96Udhoj9QL9dJ4Gs2X9W+Bk+OdfHAnsJ5syqrXnS7MqHwlzflI+hAsbSUTm5YdraSfpvIzIOKX2YGDBC9oWpv27J64Xf9D\\u002fj9ygZxxP2In9gz5T13jJaM+RKzmaXidSrUI\\u002fA0gOqIGKr2BUA3QykCw1Vq7X22avTXtt83P+M\\u002fDeW7shnJlJdRhkiRSEa2tCx8BYLvE4xf+ZWIlRlivdd9IS+2YioXIQcCAdXN99+yN2exTFX+xG7VHONUXwPiOkChakFk3s5u9bXsxhpU9XG4zre3\\u002f+qmLr+Heijk5Up5CToAYKOfb850LbsxBjSrqtuYHSamd0y95qvnl\\u002fcDrbSrdeEbW1Yt+N+2kPmoeNnNpBCgWHBCrRYyL3uFzHvaVi34fNvvbt6DMtu+hLyVMhN0JaTT9vyr\\u002f2UsAdeL5Lcp0YdcFN5pvWzaRGoqvIL7AQBAvNyuvQipv2JJmLbVC\\u002f4fYFfBuABAIICMYSXvP7a2LPr1tEQyEuQBhEJe5pTXHj2pjBTJpDnL\\u002f5xVF+bFNu5oveX14p+nNNz5JYW9LBqNffjlBz6bD14ux4ecAOi4+L9Ux7hjI7uVk8XLdgHqGrfG9fLtvzlbut7X2tpki7n8gzzekAGmvLRaigQAHOO83FWjV+9oveV1P8\\u002faz17b3PKFL6vVW7oKndUA9ODnu4wy3BLNDABRt+MKjlRPFpv\\u002fgxiaA\\u002fCHxea2kInMe9kdcyZAWnxvSHlTVgEzRTY9+Pk\\u002fAPAzs1Ld9dsJySS1pRav73ln7716+e3b1fKfK3I\\u002fyXrtn\\u002fTLRQGnN3x5XYQrvk8i7wdwJ6ZtKLvrDhkx9JGW+da\\u002fEQBMjd95\\u002fvDV6m8d9znX\\u002fV10yrxlV3S\\u002fkGg2xSoy9fXz3clzlr57+F5vyPES3mgoIdHk1u2q\\u002fIGppM9u+vXCN1AWVujexR6P9O+QkcIIFHQlJJv86\\u002f7VRIMbttmJD1VdaBx6hMXeuOmqzC+KrwMAUsBQ9rcnkDBr5lw2Z8vqLzz4FiFOJhmp1OESeAhI0lC+rpD+ZQQK+luZdPWd8yOxMSsKXbvubmtZ\\u002fLnBHs\\u002fxMPHq209h4V+Qob\\u002fYsnLRNpTFaiSkvxnWgq6+10Dp2B5sv6PonK9MgueM9Yw5EGHPqBhS6D3GrZwrXuYlARpN3nbkDISUKgzI2\\u002frwoj8N8KUcG8kk4yEwxk9XtG93UDPBq9vz+jwm9371sh\\u002faMu7sXxVfx84NhNkQPwc\\u002fZKQzrK3uFHRRVICOUdhhbKzGGrnbZX6XiukAqSHgFPEyBKLzSPQhiXAuAqpR6BtG8fcA\\u002fjQk9ra+0BYF199azF56lakaxQXrzUa68X+6XweA1uM+AzUDnADkWL\\u002fPkOHBsNboj1VfcH60ZvfmS7Zv71KAqUcIjoAvrBOv\\u002fudTWDJ3GTd6o4qFSgHFwBEiJnJikELnYwLv01tX37aumCxTgkvqkykNd9Qr6GwQ9qqAiTWiMHewiU5Xm91E1v5fIS4QQ6AYQ9BXNrfcsnawx33iKAFNhGTw68aNBCR6\\u002flx0DaaadNAn4SHOsNPoSYBTgDwzZtoUKD+iXeM2PDb69Btp3+83JQEnBfSRbkkKJHnbqr\\u002fbDeDjU2Yvf0RZvwZwDaAWACvgId\\u002fxtZpTM\\u002f+4MZ3KI5lkEB3TBNKf13nowAGogrJC9BnHrbpKvRwU6v\\u002fBZgEyU9Ux9zEI5ERhC51rlN35xzK+3iuip8ZcdIeKTLxs\\u002f\\u002fobk0hyamANdr5RMBEI8LQN6hs\\u002fi4LrJ+r4rxVJH+YwqZ5jBd15\\u002fGOF25Yiw06jFzX3Y7Uzrq4is9IQIaP2jx5p46y969e3IO40oLXv3Op40kFrk5149R1jWXgdsTOByJCKpyDKkuDdm1u+sBbz57u4995CiS7tKATCmkxyXWvVl4j5VkAjgBTlVEEMKCAqy2tP7frSxnQqfzQhL06czYCZPHrGtyZy9KZtNv\\u002fI5fvXXaVIGELaHumzJwghmSQ8BIYfgnvEsU258o4xqHBGe+KNdqxUWhNxWckVta4BZ6Gas4x2pYqtweR9MImEARJAurFYPmzEMuw0ehEDUoFKRq2tgDkfIr95bPSMv7xiX+vDCphgGX\\u002f4mzt+ugKAEfdqjlROVC8DlfyTqrjYiY6uKGT2vR\\u002fAs9i796gaYVw8WV3pVM3YtGrhmiOe71hIJAxenctYe9MRJhZ\\u002fNYJUStuA1MT40rVs6EcErgY0D5CrKnki3Lh19aKfbAUC99qRVyNFY+Z7Ue8WavPfqSLzsT3qCQhrgMPrzhMjyX75qpQFoIHLT4AUplz7tQkoFCbA0NlqdYaCzgBwJlQnCVGMrESNclSIHVJlqDITGYV6CrUMFFS7OiY3LGtX4EVAnwTTM2J4w7b0F7Z0X0Wxfv0I1fLDVtADGCDKQGyEeRKr\\u002furx0Rf8Le17\\u002focKUFOgrd7yqXRCfMFZ9nGxuYKqfL5t9cJvT5yz5AYpdH2LCX+NRHMqKDB5eHdVotkg3WhjqLnYik0CmHdil+AXjJi0+9KPUu3el9qAp4rJOW99b0qQaDaYtkHlEX7VQHybgolE1BYAsBX1XgCSjMR06hX++9azBiujZiTM1NqXvlPDzsfa1StEiV0h\\u002fT0AJJA+GS3oa+6N0wnpRotW\\u002fz6cNXdJbV75cgDvBvgdUvDOJ9CZTBUgI9Bi3U4FAPH\\u002fSQoqvtadg0MOMTkARZmoGuDTiehtBLoBBJCXa5vcsPRpBd8Xi0Z+9nLqswcABPeteP9HDsNd0AEABJi8ijigmhjMfz1ZO+Pc9P71\\u002f5QC7GGW8gSQntGwfKolS8hnrm57+LZHkOzkbanUfWc0fHmdhfuNul1brmwDWoPAEv+hSCYZG6cH250NBolm4M1XLmWOzK2L335O2\\u002fhzXsOrexlnjfGF9NgfKCXVW4j43wA8hYeaGH0ZFlMpcRqW\\u002fJmpGDvKy+7tIE+aVfUGt2LU+EJ27weA1DpMO3Kl12Z\\u002fxWNbxk2rrij88TtVZP6iUz0PIMeqQojXHcOYj0yxLbWvuTF57tKJYnE1M19TsHINMY1nEwFAUPGg4kEKXcGkRP73G9hGDz5w71+1u0yY\\u002fz9Sfy4IfmOnjhy3TsV+MJfLfbluzvIfwPK\\u002ft6UbXwbQPVGf1HUOI4btHn1N7YVzIkSrclBfJfoIAagg5qzI\\u002f+Qd8+krd\\u002f9+WzNgNgAaaHcCoGfNWz5+f6dkdj++qL37pnff\\u002fCTXzRk1oW31zVuPNp66OUt\\u002f5URH\\u002fZnN7v\\u002fMlpbF9xz7lQRaN71BJ11VeTY79CJUf7ulZdH1\\u002fpK7+L7DLzXr5ix7nsmJii18su2hRa11c5fMYET+U6Qwum1117nB5PSWSSbY1tiHqy8eF3PkhxXE8zpULAHkgLgAecWlSP0le9fuPx63pR9K3MhIB3v6RLOZ8uYrcSG+kcCz2YlMURDU5gEVBOVuFAr2M+X7\\u002fVkMXJFqiBwiE4HY\\u002fA4i\\u002fQ9P37xr26olu5FIGKSbR4R2LzdBL67ubBUZk1P7smfpczPbn7sf8DVZY28\\u002fM1AME+0lTEcyXiV5yuzKBjCPEaZ2FWVm1KjovxknNkq87MPCtAxWFKRKSqMd4NnXWxa9eNAx33I+YNLs5X\\u002fvRGJ320Jmf8GpPnfHg5\\u002feefir98tfTZqz7EIm\\u002fXtHvdteW33bDtSvcLH2psI51yVHZbMVTeTQj7asXPRM73Op\\u002fx0xAfbxMTNmOEI\\u002fqGBzUadaD4ADqFdDjnNAvB9cvn\\u002f9xxRg9i19R6fXeaYlmiPte179KKnzVyDMBbuAWqgt+N87UR8JRwOFKkCWyDhkXIgUXlKxi9tWL\\u002fx5cAFlVlbsrZSdoPe8T22UjLGqCtVvdoCaGvY\\u002fty8JcBP8Hsp9lHmmg\\u002f6mSmhqoskPVcyCoXvIqbhAvawAxN2jIgJEhZgZZCA2\\u002f18Rh29+9cEFu4JjAESoi99+NoxZCDbjybOdYCJAZxK5Z6p6UMUjBN2kRC6p1irJr8622RWtviELAPSc6+4e9fIDxT1nwiCdtr2F7bz3La158ZeL2nu+ix7r+eNjZyRY6J4Y8SkZtZZAJvi+pIoMZyCfvmzvunuOyXuBJCMJIJWSqfFkzHLVhwi6iJzohQRAbL646Sa\\u002fOuegI1BVYteACCr5f9YuZ1Hbmpsz3d9jmVK2gh68VwjgKjLIiKxXIHnZ\\u002fud+DgDNSJgE0scTAUYA9Nz4nad2kb2LHfdjqh66H2SoghyC6n5SWbC5ZeG\\u002f9f5c739PbFgyy7C7wkSqL1AvC5FC4MYnEDsgEwGgsPnMvQWHvrTjdwt2BVd4yFjfsvoofg8a\\u002fIeABBPS9pcTJlSenhn\\u002fTwTczADyUEtAIORQB0SeSpd6mDmrc\\u002f365JEMmUV6TSyTG5ZdA0KKTGQmVKFSEKgqyJ9EhhwKASmRU0Hq5VZlbcdf7WpNvVHOmr2sBb34EYVKzNfuUMUP8tbefkXH838EgBbEndlotccm8D0PQl3Dsr8j5rshoiC1IMdRle0wuLbtwQXP9505Bq2b+fkKVEy8g4g+CWhFt+GJSBT0OtR+oW31ol\\u002f0MZi+kleoBXFT1MiPjZk+K6rO12LEl7WrVYXvruj1fokScU7l9zP3rX\\u002fnUY7dLeST5y6dCOEmED5F7EK9vA3220NBex8NBWDZiTnWyz1DLO\\u002ffsnLRtsNtrcqB4XBDThYikMmqSAGqMeb\\u002fHXX4kafHzLi9pfrcUxvQ6hGgzYDRo34fKcH8+S6QZKi8RGAhZmYn5hIREaTgxtxdvXqOH05YFIlm07bm65m2lgWfU5Vn2S\\u002feaKHqsYmweN4X21Yv+gXiLU4fxSEOZ2ijZl9LawNavUdqZ4x5avSMJTF1VjlEl7WrZ+HvNw45pqrrr67\\u002fu3icw58yyVAQUimZMnvJe9TSI+zEPgVVVS9nQTAYPs8UAXDEy3jGRC5RNb+sm3nX2EDIh50CPBrD5aacNOSvBKhDPaugU2NwbqlyKp5aUztjwTPV9ac2ApYAUST6Fvh7V3hASoj5Ro5UGxF5VfPZ76stiImOmmoP5OchlVI81Mcx0hsUAJ3esHwqoFMVzAR2iI0LELHDMwElzH7omCzCfqxowhCgjYFL8YnaGZ+qIHq6gpxFHjSWUSsEMod7gglEWdWcUefXAJBG4jBvSxggJZidNJMbli6F4\\u002f6KjXOWeBkvOER\\u002fLdOLfjPp9p8NKOSIzXnGROpR4X13ajwZQ6KZ\\u002fYVi+TBiBL0IgYwH1Q71rAHOrGKzrOAUnn1q9IW3PDpq+tmEtO3JikuYQEP2fBykp1959zhAP2DzB1qY7bzNDy26UQy\\u002fzxZy2y3L\\u002fwKg6DGevRW\\u002f1LQyy0wnNnqK2OyfVOVahXezKnIk+Mi0RNo92hKyOZiUCFBC2j4zob7yyVEz\\u002frJi9N4nKsjcS0Rnd6hnBVDqNhweitoKYs5D\\u002ftA+unqjApRA+uDzJhIGSNvTr\\u002fzquDpT81N2KxaqiKj1BP0Vi1GsPU9ExC4Ru0zkdLtN++UcR8YRL+sZt\\u002fK91lQuRLrRoqkpFPThDgXL+TxUO9XaCGhyBZnbXTZr1tReuOLJMRdc7geVpG0jYJMANwMmHk8aBSgSycRV8bXopk3Xb151y6vxeNLZunLB\\u002fZRrv4JBW0+99isTEMR0HXYArSkLJJmFE+Jl\\u002fsdYXLWlZeHvtqxa\\u002fDXKZa5XaFf7rtc+CADFOm\\u002fwD0j+WBJGAWoMJqV1tTPGrBl90WdspvBQzJgfRokvyUAkr1rU4r3dj6oHLfspiIWlXzdsas0+hLg5yF6RaDZIp+3khiXT3Yj7sHHc90shYwHlfrOkq1oyLhO7DNGMWu9PavNPq9jNIAaR4RJodyNeTgjm1qlzl8xEKiX+BFcelEVk3IniC4Av8Hn1xAWfGmWe36X45OTaC596guTHpPTYzP3r\\u002fVTP1hQIwFze++DqlUt\\u002fagFqQpJTrSkPySRvTn3pNQCfPG3e8qrgDEd6OPW0edWVVJD05gc\\u002f9xMA3QkYm9KNLeOvvmNuVN2zAaUEGvFpxJ1dGK+Bi0yL8dtPjZk+i+G8t1PkxgrQBPgJPlZBRIeZxBWAAYhBKASZbwSYTrVZV+WHAPAQWnu0ZxBAVDdnybvAbpqJp0gha\\u002fvXmq7KTsyIzb8gsPeqV\\u002fjZ6N3ejo3jIFNxhuPhzT8zpP9M7ExU8bQ7cq7\\u002fIagVcmJR68kyJJobgmSYvg2Tw4Rhtzw5Aav78RxbARUGmQgxoiAcEK9TCU+R4j7L9GDe8V5v2LWx45DPEQC6qX6+mbv2XkkEEXhNAJr6eEgI0CSSjPhD3NTaKmmAVtbP539be2\\u002fhcB9qGTetujKPc5T4fap8HQj1tWQinSqwQbgZcHghVEANAAHyUOwzhNMs1Ksk43Sp\\u002ffnMfes\\u002fdFAkXOBXnnrV7ZeL495H7JyiNt+fQq4ACRnHwLP\\u002fKpn229rWpPYc7o11s5fGyTi\\u002fg1oXA\\u002f\\u002fMCrHLanN\\u002fsaVlcXO5WOFDQT\\u002fyeYR8oXeixFAAOVUI9A9EeBzQ5yBYO3b\\u002fpOfPxQO5EztL38qiBXBqxsx4uyd0KQHvVMIVDLo4Sr4PK6MCP4vr4OX54S9HpYqM6VL7cVWMr2Vn2T6x+QrmSKfYxBX71\\u002f+0O0gm0OQT5y272Ij5NRFPUJuXIKqtf1BYciNGvMLX2lYvuBlAd\\u002frwQZeSaGakG+3kOct+xSbyHrF5i4PtJv2LqmUnaqyXW3PagdFXrb1hmy0HQR\\u002fRS\\u002fe+8Je+xBbQjFopLoejoIsrYC7OQ5CB7dxdu23P4zTjFQL9AaJ\\u002fUkOvQnQniWnnWL7deBWZ9r1v5mZjUx69pHot6p3sKR2xWK46WjBeNciOUmAMKc4i0LkKzFDCdE\\u002folBhxTZQIGRXkodqlquRHpDChx2J1JBSQGnLMfvF+Mmv\\u002f+u+vGXXhs10qiBC5XWr\\u002fVAle6a9KWi2QZKQb7ZR5y89Uwc8DIe\\u002ff5bqqkBMzUsj9pK1l4c29Ukg9HFxlAti5gQAlxfLfgJ33qM0PrDmcwGLzSmzqd4w6cDlSqYfLIQEmFPSjUNzHFx+uHFTyWhAFsSGucghVDJ7MwGwyvqbtIAsY2SsFs0+10B6rHZV9EhdmhHoMSqSFiLGRyoJTqCBgtILGVpNxmchvewq\\u002f\\u002fakFkIFIVlV8wfbdhAgiU46G+sEwpkvspnzEfvKp2hk3VjNf3KHWqyLHySu+\\u002f479z+1rBkyjqqCpCXVP3DUWBZsmJ3KG7x\\u002fvTyGHkHFIbf51L1r4u+7X+9SapKTL\\u002fiReFgQ1ge1jgOSdCIDHJupa6foggIcDd+iwJhT046So6Ql+hIsoNCjppD3xsGQMaAyDxjD7pulDn8pi6VpRX6gtgC4V210eyl9BFKPou895PCig7P\\u002ffCuivz46OstvynU0FqDhg6lK7V5n+EwA2AIqmJkIqJdSw7JvkxurFy3gg6v9nhAypere+8cBtu5BIGKT6cEWO36gAwMy7RLx2sKmBypFjevoHVlsACNehfv5CrE0NkSpDJ86IdK\\u002f1F9STEcbwDdqGQEYB9aCah0pOxWbU2i61trPXT0atzarYXJCRLYFR3E8yIRMck0\\u002fG\\u002fsBQW0GGMyr\\u002fOHP\\u002fcy1bOju+WsVmak7VqyQ2gP5k1p7ntjYjYTYmmgmplEyeveQf2In+L\\u002fGyHtDPQq5qyYmw+Pvfn\\u002frbhHTf+99p0xQAROQAQF3BtDnQGpZVLUjpbWeMOnOa\\u002f9KR8\\u002fuHA8N68EMV309f1MT+BFCcBIo\\u002fgXW8XwT6cIifqut0qfezK\\u002fetv\\u002f3pURe9K6rm0xk\\u002f99ztUJuD4jsAsLJ+DKfTjXZSfMlMNc5X1RYkMNL3M0SBO\\u002fyba9feVCgGDvX5kWDLnok4XQDlBs67diiqxMZ4oHcCABLTS3XiASEU9DJEobaS2HSKPFctVfNfw9SYZf22QxT1oFJFTAL8cub+9WsTSJh7106wE25YUUlM9zA7MdViwcl+Rcg4LDb\\u002fak667gNAfUYPdtOkADCaTCcIme4M4oFGVci4AOM8AIFRcPgSCnqZIYDEiI2nsjVj7EcvOLBmz9bRo75STaY+q9ZjkJNV9ZjM1wFgTP0YBlJiuvZ\\u002f0bgVF\\u002fdKTulfVJXYAcA\\u002f3tWa6kAyeYyBKKSA0ssP\\u002fH07AR2+h68EMfBEfsqD8BkDfq4SEAp6GaGARPw81\\u002fac4mOz92x44dHaCz9cAf5cl5+5hioyVFD57bv2\\u002fn5NEnHn3rX3FqZefec7QPx58frZV94bYhLxPFXcBwA9tfeOgUSaAVJRvFbayA8FAD\\u002fKcfaAx9sPKKGglwkKiO93UsmIfuqK\\u002fetWP3XKjPOiwLcUYOubDUxWBQz6GgE6sb6DgCRb8ZYxuzGoHRi3VRDLrja\\u002fznPxPICgcOax4of8EvTxAdpWvBVVggpAWgn4qbkYhgFmRUJBLwP87Bkih4is0GeuPLDuJ4+PmjZWPHw\\u002fwnxaHqIE1Upi8kjvn7l\\u002f3epEotnctHZtYdLcig8YJzpXvZwMWEUYIiVigOjJHQ8u6EQ86RyX5TwdWN4dftxvj1WaFNLAVcrBNgPDOeQ9FPRhTuArV5eIOkU+P\\u002fPAcyueQb0LMt+uYvOuLhVLICIQFVQKLrAEAKalv0VT48kYC\\u002f2j6oA\\u002fwUZtHkRB28eggcax4xvkunTUH0W81\\u002f301QHepxOpH8lAXb42H5BI65IRCvowRgFhBGWaxX7+3fvXfwMACqMKX6lh5y861VoKutZUEnMOev8le9c9mownnRRaPTFVHyETvUhtXgeweKOCmERtVtV5FECxRdJx4Lei2rvypv2qWElOBAoa+JBUYhDwJgDE400Gw1ilh4I+TFFAHBA7gJcV+czMQMgfq53+hUrDC7v8dFUDXxVxTiXLDr4CAE2tftVWqHzWV4wDGYDi14gk0Ittq9e8ccKHCSr2EHS12oLSgPj5e6HKKh6U8EfgRDpQDy1CQR+G+KWsiQWay4l8\\u002fIoD678NAI\\u002fWTv9kjJxlORUrfhBOsYwzFaA\\u002fnPnm+rXz6+e7BIhQ5fvJxC5WW5ABcaf1DFaIDYT0GSBtg2Icxz+xBD53I5HfqC1s8111A2gJJ2K1eZBYX8ZbQ6t7SElRr5KMgeINEXnvrAPP\\u002fxAAnqid8fEYOSs8PxGmGGknDog7xGu3IncAwNyz9vr92wh\\u002fA+rV12igRksQEIOtbgQA+EvgEzoUEgmzqfXz+8D4IbHrJ\\u002fANDELsqCpeqN6RecZ\\u002faXinqoaCPkwIJNJWkeNkRdZ3FOy1lx94\\u002fkEAeKJmxscd4v+wUAp8QFT8TAUZUqZ\\u002fvvLAhlfm1893G9NpO3nvq5eDnVlB4saAPgOkYBULZX7tpA8WxL0TZIV4uX1gMzBGOT+4hwD8x8aNqXzvcl7DlVDQhwEKFQJQ7ReO+EV7VOZd1fn8OgB4fPSFH4sa+jcNUlt7TMMqESLuFLupEOVvKEAT1r7oC4XwR9lEIoDagfVJq4LZqJfNgKgNQHc22gmRSgmSSd686pZXVfXbbCIcXHb\\u002foWrJRIwtZF7lQvW\\u002fA6BySFMNBX3Io14MzC6o0KnebZftW\\u002ffBuTuf3wH4y3UX9L0C4LzV\\u002f0PqgsiD\\u002fNNVb\\u002fxhVxoJTqHVm3LlHWOg+mGxOQxM4kpvSIkMlGhHXt3NALp94idMqkmBJMei0aXiZZ8nJ2qg2k8WeFXAnzsI+PzmRz+91\\u002fehD+9lOxAK+pBFg26g1eQ4edU\\u002f5ljeM3Pf+ttbEHcA4IlRF\\u002f5thPg7Coj1jVvc+7MVxKZD5OGt+5\\u002f\\u002fngL0rfg0AgBx6QNkIqf5UXADHGGm6hv+FW\\u002fuXL13lz8XnazQkCIJvPzAZw+IoU+qeAfATn8IuwAs7EaNSqFpS8uiXyLRbMqhjBQQCvqQIyhQ6cXAbADuUO\\u002feXAVfNWvP+pXFmm5Pjr7oizHD3\\u002fag7EEP7byiBlCrmgXTrY2AfQhx0xpYjQn8PmIDlMIPDQTlM7ALSIkfs94PBKWYtz644EnVwscBdJFxDYCjNIU8LAqoR2yY2DW2kPlq2+rFKSSTfPz+\\u002fqFLKOhDBN\\u002fYptaAqJocJ6f2ebF478x962+66o0\\u002f7FLA7MJ4fbz2wm9UEH0577vQDu2hBvWDY0xG7H\\u002fN2vvcY81ImIbkbAFSMmHuN6YAmKU2D5Tk3geV7Ujb+v3Q6bRFImHaVt\\u002fyc\\u002fbsh9V6W9mJ+YUyVK2v4Q9rqPO7wKhaf41OxE6Foyo7VDJ\\u002f3day6ItB1RvFMA6QOZRQ0AeZQINbAqiGHGNVDnSobXI4cuVl7et+9QzqXQB4CFPdM2pf\\u002fF4N82c7VUQOX6xCXBB3ibxhHEqh2HVl40YCAGO9K9iNjVexFqW59wQoCLR1QI4eCPum1oUPsNgrxcv9hwIFdisMOTETlPoT+JreC5b3RGTYf0+EodKhXv7bEL1iy+pbvhtUvQnq55cPYc24wUMBtQxyKsiYrIrtEO\\u002fH7PGSyzqf2wAAz2Na5AKszT922oXj3Sx9v4L52i61Hvyw1sPsr1UjxNylsnTmnvVtzcW+6EW3lNobdODrrR06JAgCi3uQhdavBL3hN6VueR3AJ+rm3vUN8TIfU\\u002fDlBDmP2D2V2O3uYy9eFqp2s3ryAgitbOXHm1oXvQ4gqGV\\u002fLMUwhh+hoJeYoF68EshUkeNk1WazKvd54t0568DGpwC\\u002flfNL6KALsDb\\u002fxOgLLjQ5\\u002fCjGPL3Dj10\\u002fbHlnf8luTLvK2nHjMvfofjD7nV0IqZScNm95FTy5Eip0jAVkT57Amy9WdgDo9oP3O4HbDakmbVtJ6wEsqK9f4e4ctX+K9eyphmyVhcRgkTEO9lurO7e2Lu61nUgykkCfRSqHOaGglwaFn9yMGLFxQOgUmzkA+xOX6Dvv2vvcYwCQBLgJANCqDYD32KgLr40C\\u002f2GIJ3ap9ejI90sNoJ5qzoXcfO7LL+eCNtBAIsFIp61j5V0gmqBiUbpMrCCdVGn3gJ8qlRK\\u002fwFySEQevbb2pAOCV4OfwY4s3maBhhBxaTr7cCAV94JBAuJkBjpExAqCg+mJe5Jek+M6s9nUvAX73GQBI+73cNIWUfXTUhX\\u002frML6pIKdLraU+KrIqVCrJMQek8K+z9j\\u002ff2oyEafS1OepfHcNrAUtCl3KkwvXbHA9ACecjoogY9VstlUSYUuLHpSsh2URvrWSTDnz5pGjFWxtGlCmhoPcDGhhugrKFCgAOyMTIcAGKnEpHRu3vrOhPIib628sOrN0P9GhwAqQZMI2ABVJ4evSFyxziBXlV5P21dl+BLRKFMe3qvVYN+hJwUNtjWrt2hQfcCzBdUmL7kgJMIjbvefmuE\\u002fg8AUlCMvitr9JT04LItVSTdu8XQIpUeRnUToZhl0nf03vtogaXsDLvNzwoqfcgEOyg1hAAkOOAYKgnDaxL7DYlPKmgligKv6zf98Kmns8nTBPSmgqyr1oApwHwnhw37XTOOytibN7XpdYewbJ+0FAIsBEw59T+xcz963+qRQNc959Jp77\\u002f66Ptgfzv2Thn9HjlBhr1W8KJ7HKoMOO11bftKI6njw8REs2MnRsIrakT8Yn7xJMOZkPKJdilPxi2Gt0oORVMbFUgfocU7Z3hQAf5UAm9Tc1Hkpyez3Yr6eB1P+qj2DnFgChCRBEQK4B2tfAguwtKrxG0VQmrXLYbLtm7cXPv47cg7sxGqy0KovY0gPBaR130Ls3r92Jszu\\u002foKRjRJwpIFbHTIZJ+YP\\u002f6\\u002f24+SMgBoIkAqLZ7E5nNVBV7UATdwEJKRKTAfpvnfJ9v7em9JsUeZ+dcd3c0k8mMI8dMYJHzBZhKRKNIUSPQmCraiagdxPuhXhvDedGQ0\\u002fba6r270JryggRy8m0U07QcwlhPhmEr6Jaxs1Pt06I6EUQToyAfAD0\\u002fBA3aJBV\\u002fpI+6SQw\\u002fkouP8PniZ\\u002fPQvVnVjXngBVF9iYn+mCP73LsPEWx\\u002f750gIC0EaANau7VUMliZALBPjrqo0WHcY8BjO9Xz+tqP9zq2OiDOqLxZASxKAaI4JPIsCSAFiMg72I0QPJGSWdyLmxngQK7COYKgd1u7BQBOm7e8Kip6narOzOZzM5n5nUSmEsYBd0frFtPtet1F9Yu\\u002feJLfNbmh6hmiJU9CeOXmhxY+FvjEi73e5eAPjhyGnaAHwoGZ+\\u002f7w3ON1M+Pevmx1xEi1WJ3kOXomSCfAYjyITgNwGkFHCRAjUASkripFAbiHLon9FYHmFJRV1RwRsqSUAXS7gDYR6WYFbSHIprzj7Zow2ttz7ssv5w45BgGgNBKUQFr9sb7Vd1zcj7cg7sRq96Ycxq2iQAFij9VQRlCJEpsDVv\\u002fxXQfWvaZv0ebo2dcy1Q\\u002fCLk3hB+ceOD9\\u002fSW5HMOrgT4REIyOdskgBE+ctu5gFH4GVRpA5k90KqBSgtgCVgr\\u002ff7r3A6oF6\\u002fqsEMuPIuNcT8fXWy9wyec6y3wNYUcgX7n8j3bgLAMqhM+qJMOwEvTez2tZkAGQA7ALwGoBHD\\u002fe+ZsCce9qFsVxXIQbXrWCLSN7P\\u002fOwmQqwZt5CJyqjO7J6nuhqOFjf9pq+x16LevIqzJBFobQDaV2CI+kty21I57fRKd++KCub3dalAAOVj7Pvt56Ub0yn2gSsOrL\\u002fXXx2kj\\u002fjwEnQaEUOhJQyWURAxRHV\\u002fa2tDz3eZTDJSJEjDTrz6jncY4YUq+LAxMdfvQudBCp0eKchX3lRcXB0F8iP8PSvqF3aMEjkziXimGzMvTZ5z57dr3mi\\u002fZ2O6Me8HxqRHlHYfdsa43hSf2iaAmoLX0gABCSSC33sbvY7\\u002f2Imi2wtAGomeB6O3lf2YKWryNbXvrHfJfjdKfEGHWk+PGOl2WMQBwaq2ixQuvbz9hT\\u002f1WOwPggDo1HgyZk3VM2wi09XLD0wXlsPjsVPhaD77\\u002fc0PLbixx2+d8s6btaAmExt3iwCfN04sJl7Wj0+n7tD9\\u002fngu\\u002fV0XQYgdh8hAbeEZIflS26qFD\\u002fhvSfJI2bsP61h3CgxwKUAo+GkEbCPSloIff+8KKv4kAdYj\\u002fAR\\u002foyB\\u002fU4vHaETaNgKWes6jxyPk\\u002fnGT3AjYx0fPuNHAW81EF7T73VOc44leEShcIvZIb\\u002fOFPHE4IUexFrnFqDpSHefvCko8sRNBSQ4AwLRE2kVryquLf\\u002fWCrtj438GJ3UKgmN+1NaggiW4TS7+cPdjOO2o9ES8rYHMJkfn1lDnL76ivX+ECQUTdCGBEXGRRMA+dFA79SZ2AEB+NJMD+cVPyZO2MpijMd0E0KqNyNP\\u002f4W1CorSaHu0R\\u002f+7t96+9RgHv5zA8m2J+T8SaAaKyfz1GaxgfBWJXAIMZ+QGljujE\\u002fpWH5HHJiD5JxZ6qX9QIniYOBXlkS2C\\u002f2WBCIBTnRxTtrDzx4esPyqcWU1wE9\\u002fxBgRAj6YNEMmBQgj55yXs2TtTN+XMkmaSHWgwof\\u002f3cvLphyKntg+fNNR9s+BN0\\u002fBXwaOTHHz9wqWc9hEIgUAhXtBEgnNdz+Z0p0H4FOVy9nUQoBf+ugGACkkLHsROMO868nXn37ub5lfvjXheuLUNAHiOK+ubWyfoLrRe+rYucjnX5+aLEn+nGiGiHiAmzy8o7fvwBfao+8vwy6oTBsXbAqLu1eVMGqAmVn8xkNS89jJ\\u002fYjYqpUKdgBa\\u002f10bBCIjHhZz7CZZjTyu7qrlswAGm05L+PL9sIGEw2E\\u002fPFR086pinq\\u002fqWAT7+hJLz1uxK\\u002fNbrpEfnP5vrff04zE0buGFMNChScGAXyl1p6ktuCRyCiP8D2GqVXrDbaQ98YRL2fJuFPJddJT3v2VCb4\\u002fvzyFfVhb3YciRU3+aO1FF7vQ\\u002f4kyT8n4SSkn9IAroK4fT7qfPDvrko7n\\u002f6g9wTZ9QQB0csPSH5AT+yv1siUWMoJCs6TYCeYpUClR6O1x47GJOtbLPZqTyut3zd7VVW7VZYCh+cUPW1oQdxoB+3jtjHdWAPdFmKdk\\u002fCaHJyxgBEiEmPMiX7qk4\\u002fk\\u002fNge91I7howoASjjd1+il258XT09ALBDyEobeHjeO2Kxn3NiVUe680zfONReDI8uGofrlDzuaAdOAVu\\u002fR6hnvdoh+S0R1WRVLxxgEczgUaiuITafKyt8dWH+PIsmJ44kJSDQbKJ3SE3EwCAxUz\\u002fV+hRzxspaNe9Ok2cs+jHSjRSJRVrJRVhczWLQATiNgH6uZPivm8C8c4lPzsCcp5FAHTDmRLiX9Bz\\u002foJ3WsQToEAOe0b3cAjPa9WKVzrR0ylGM57+AvlVVZATDR3ZPid9ch3VxWPvayuZDBQgHTAHiP1MyYGTXOLxgYm1OxOInlun9c1Sgxe4Sls\\u002fauX+9nph1fhF+73eyAdIwfKD4ElarCwg819gNlun8f4N7nh4OIIJ7HbmwSc+YWgLRYVLMcCAX9JAj2y\\u002faxURdfGjF0HxONy+PklusBNkaGOsS+WLkPdyX7CozpAyOnxAiInuRYBgBVKISciGGnwvGTXwjkRA27lQ7IEFQHIzTVES8rSuYTU+YsfWex8OQgjKPfKYuLGAyKoaePj5kxI8ry8wjxqf2hyQG\\u002fZYgBiFVTF2Nd53Qk6Pii9fy3xrJc5efSDyUDsiqIiUyERQqP2HzXFwT05yL2w+plPm29zhUQu4PdCsZgDFxV2YlElehLJT\\u002f3AFI2S5NSUqzJ9syo+rOVCysd8BkZyIlEux0OW0FsukQecfe7V9+HtbbpuMNy\\u002fUouE+JfPd8Y9zkCRYLl8CDfb1WCo8rIw9p\\u002fqNnR+e8bN6bekqs+Nb7sdGHcRmz+r6oEbeVKNXZVv54I5bWgV7U9vODpckhtHdZpqoOBBimha095x0TP5n8RJXNGRsUea4rpUY6tBKWCqjJh2SVYWzgOd1ov\\u002fMoyzLEowQ6VVZtCScEgiP3bLS0LvwsA9fXz3bVnzfWvb+cGwvjpuind+AaAv5vcsGwrGecOtZ70zjwfWIigasmJxVSynwDwdDl0Uw01+nFQTFBZVztjTCfR\\u002fVXEl3eepAutNwTYKJHpEl1z+f51V+CEE2z89MsJDXfUO2TW+MUsBvlZVbXsVhgpdH1nS8viTyGedIJSy4cZWJKRmE5IN9rJc5b+BzkVf62FTCkDftQ3ztn2qFRMe7n1s23oriQ2PBkqs\\u002f2Qp+iJ\\u002fjXOiWZA\\u002f1VNpl+F3D+HAiBl6F0ESBon58s1RMaPWxl0hNiwePldec\\u002fcDihhNuTIhSJT4mvRJCucL2kht5WM0\\u002f+90I8MQVTIidXknLxf2iCeHCqhuydEKOjHQLFEVAqQsaMrv1nN5s86\\u002fYYK\\u002fXjz1cbImIzKc7EY\\u002fUYB2oD0SWkQR0wJ97Z9ImQiJOr9z45HFryGRJqPXqE1JUhMp7bVN28VtT8icqikbjeCEBEg9j2ItzhoLdkkMyCEgn4MPIS4IUAeGz3ji5XE8zvU89DP9g0NGgwT4YcX71jX+RDi5kQq4\\u002fRGyBscn\\u002fRbccTmAZgfA6DuhJuj4e+NiQnfE5srwO\\u002f3XKLrUSNeTomcmXV4\\u002fPzhXqRi2A68VCgSpgGt3iOjZ9xYAf5yVsVKP3c68aPgwJ1i91PO+y8AmI3Wk7byijg5pe7JYrAEXogNVO0myvATADRIGjkGUgJAt7TcsgHAs8ROcX9TAoigKuRGqwjm3QAwnANoQkHvA7+WW9o+VnvhnAqlb3vweyz1990mqK0kAxB+clnXxjeCUtAn8UA3KQA4LIX+GuMJo1B\\u002fXqSH29bcnMFxG7USxo8TxCoyLkClXEITVDzA4TkAglZOw5NQ0I9AIGy2tfbcM12i7zFRpfWXwf36nalvAjBdKgJFGgDNRrxfziEe56GQwdylq1+cERA8CeD4jVrxaeQfh36vYlFS4yIFfUAUl064IVkZrDCGpVYPBf0wqF9VVv9w2oVVEUR\\u002fECOqy\\u002fmhrf3+fRFUYmAqqLzQHqMnFEBDPyzbAUBczoP6bIE04JDCES+jxPzSCR1gtq\\u002fB2crr6mUyYDKlszso+d1nMYHyNRcD6C66OdwIBf0QFKCHEDcMaCand9ewc0WXincyOeV9n4+ICSDGL6\\u002fdsa4zcKmd5IPsP4tcUdFFCjuISkiImSB2D1tsAdAtuMdMyv8fg9pAvIPIAFqqyYsIUCETibBnpwEAHhqeMjMsBz2QpAFuQKv3WO2Mz1WS+USHX5J5wHyoBFBGRT01P0E\\u002fuNQOOnbHjoxC2mmwYj0Ufug\\u002f0R6tLvjNWlJNxzkQ33C3afwZuxS6H8TFI5cKIXZAireV8Jz9TijovSiWgXqkdvrsCNGynIr4fYUGRiUqIFEwCbD2tFNP\\u002fyMAberHh\\u002fjUjomWQG+WvLhMDwoiEHBg868W74M\\u002frx3\\u002fMRIJP9Zc6YDvhCzxpKUWAJ0LKKE1ZTEM9+mhoAcowBsAbT31\\u002fAkRMv\\u002fGIFegeiJP5rES9E8DEa089+UHckHOeX88xQoAa9fe5IFod1DZflBUOhFDFW+CSAND3AmMI+i7Q9hV8oWJgv2kRD3jtHl3VqJoPx1mhIKOnvDWFCARz727isw5OfRPymlfpyWQ065eQURWAd2Pc7+eA6R7Bk+jE9S3Wm8F0F2C+oSPptgWhAmX0PKuBBWo4jQykcqSnbefCQUdPZFvj9fO+HwVmUT7SVRtPQ7UBUFUt6Gm6jEAoBMoLtHH4X1hENodLHcHQw35CxSW3f1xMAXt74\\u002fjHB9EqgIiOpW8TIX\\u002fWlO4dB9uaGB8e3LMBZdHib+S9SublOJ7Ufb3r0\\u002fMaluTSfrn7D9hTPi90kl1S2AQG7T1piod6I\\u002fjENlMfxzn+FEldtyIOqcA8PvODzNGtKAH\\u002fnI8esp5NSK8wiGqHOh9ec+5FQ4ICv4dAEzv73MGLZmsodf98w0WClK0+\\u002f8+cjvpvgk+p9Q1qFdi7dhBO\\u002flJMqIFHUFGGnvul6vZzOhSO6CutCJ+gQnijNiMy\\u002fIMgN4tmfuHYksm5e3iZTXItCutlAQGciXtF40Opa7BqXNZXA1xrNRn7i9GrKAXq6o+Onb6NREyf9elVhA4aUuAxMBkCS84e+nV4LX+FcIgQ0zyskOtHPDDcgZHGypxhz+mk4wVJwzS0t0\\u002fOdhWDN75T44RKehJgDcgrU\\u002fWnH9KRMzdTMRBEHNJdAVB1fVrNr5wMdZ1tiDu9LsUBhFlMpq3gbAbxIPnYoOeXHJNMEGogdcvQzpRlEJBH05MR4JSgAi7X6kkc35OByaO\\u002fUgoiAuqIODZgTuLnz+9\\u002fVc37yboziCVe1BUOtt+ElApcUfYQ9BBjDw6WUacoCvAjUjbR8bMuD5CPL\\u002fT35eX9HtggDMQtZaeBIDZaB2YB3jjdAJIQbx+MMtPiEP9IuhEMqiRKnqyK5NBZEQJuh8Yk8Tz46ZVO0J3sF\\u002fXt2RL9mAMyr6Van+n6zzf8\\u002fJA4FurieSZIJO+1I0WCQCKKWAniygPYsllBYiyg3f+k2NECXoaCSakpD1nPlvDfFEWpbGyH4I6RIDSxkf3rm0HBnCWKRq\\u002fFL6gQwflfpOa\\u002fhFQGax1iT9hGei+wTn\\u002fyTNiBF2DtkZPVl003WW+OaMiNAh7LoKqAwKTrk8BogNZRjjIFMtHvC0i3g4\\u002f2G9I1JA7Idjo4PYhsLR3UM9\\u002fEowYQQeSIECtK1+JEo\\u002fxBqBazLGggLggWOjzgB9+O3Bn8+exN2retgeE55hdlLBkcr9DSu4gnFYBJhUvn\\u002fdkD4Buj8ZwYkQIut\\u002ftJCVPj57x\\u002fhiZD3SqJyWIZT8C5HTCgoheKcHJFPGkg3SjJdBTYAMd5IozJ0RQlFEGRdC1GF6xs6o7BPd4c+oHn7IXdL8+OvSZCfWVVumL7L80KDfKr\\u002fZKlBNpJ5VtwABa3IsEEXIW9JQUsjIoEXL9BHMg6KUcvZISGyh0S8Hk20t45n6l7AU9HbRRKnR5f1HBfElGRVF6AxwAP5XLEECgXY5X2AoATQN90nSjAIBrOx5R2B3E\\u002fR+bUyqs9WIlD38lCDGDQK9vak1l\\u002feKUw8+dXtaCrgAlAHnhlFk1SvpFz09YGcwRqQMCEXZf0vHSbvVj7Qda6hRI8qbW1D5SPA5iLXWEnOJkjWh+pj6BRpdayPwvikHgFwEgPvtEi2cMLmUt6L47Dbqv0PGZGjJnFVRKlYJ6RPweSboVgKJfCkEeA4npfhMYxc+DmPdSFVdU\\u002f7\\u002f9s7dm0mL2WKkETQkw4mUBeBsAoPUki2cMFmXbNtl3W6WlZdylp1M+9\\u002fc5FS1pZZLDQlAAVrEZOPGkzePGT3DRgqOPGC+zk4wzHmJLNumdvEb3EeKxXFKNrgA5BPH2K\\u002fj3AHDM7aSGGGWr0YvavKKQmV\\u002fFZkJ+kNxpvVGAAulqK46yJKRSgkSz2b5y8RaAWpldxUn2dTt2CGJOUqEEufUEjClpcUglJWYo6NUtLQtfAZSO3hxyaFKWgp7049nl2eqLx6nyp\\u002fIqgxMSdggEQKAA27ZBGoKqyv9TWyBoCQ2Son6ttRPtXdZdC55O0ZImpKsSMYiw0v99+JWQKjIUnv9+ZzoSBEDzxv5VDZu6PAZ\\u002fbw4E2wkFrJqtwAAUm+iLwPpOp7q\\u002fEeu9EljfB\\u002fb83YkENPokDkJIpeSsuUtqoXqKfytLJumkIipKDwAo2jqGJYP+8Pc3BKARadsyNR4Twt\\u002fkVTAYoa5HQgGw5+wCSuBaO\\u002fTUiYRpS9+cIdB\\u002fknEBUAmSRAhgjPb\\u002ffQJ1bpO+Fs0UnAkATlEVvzLrQKMqZCIsknuJ3I4\\u002fAADSiWG5bAfKUNAl8JFX7t3zoQoy5+aGwN68CANUgHiey52DOQ5D9F\\u002fiZXaDjEEp9uqKMSf82Y2+Fo0YOwFEY6C2dBZ3MiDlB9t+l9qDeNIZrECr\\u002fmBICEB\\u002fESSIiAJsCR93\\u002fGC0ITELF9NTFdjn5TJ5AGgqtT82nbZIJvn1lgWbAPkJGYcGuN94MWfnlBM+QmCIU0YduzEGYEviPSFisVmrZH4AAGgdvjkCQJkJet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6Rtfvod8yqGgQ\\u002fbe1aOOfgFRgngDTMuixXutwwetSTb5qxnG2kD+1HTHX8zgWBIMIUFqcVVjy0j3Z68Z6veMZudlzlKFYDOoYmO8WxFuU5t9HtzWvDdY0n0oLoWgZ9Lp1kEeCJmROhNdbecxc1zR+bNtibqnEigiGZijLEWCoJcmrzx3bxR4ByAX9aMHSRHgtqm62DVHnFXUMgjRscT4J3BOubVnpr5hx7MKFUInmhxyvPjyvgySC2rW85XhhRj83TTqu5LESouyCiCjQLAW9y1vRPJsWrlfj9VrGC\\u002fKbc5RBcXiKIACUfLZeSStmVJsOXQDTeNBb3Xx1adWslkzDcyuM8RShLwfeVsw4ts7hOy1TzPP6CjmIQJGCtl0xkQwsBAAsGD\\u002fXMB6RC\\u002frRgvRBZxanQADEYAAgglQa7JW0IkKNUxD\\u002fTkI\\u002fGKxtvnT3ipmNtAwxIdXwY2zS39UKg9YnPrljGz81DTGv5GlFtG8wkQjEEUMxL+br5tq5jz40ckE\\u002fWvBEIthgLABR+kMCIhARpFKJwBuSJlmO+HydI+8rrW7+z93fmFtLlSb9GAg8r4M8exniruXTj7eF8XPLoHleoONKTV4JAoQfMtuWmNtTFf5tdozDu+ojB7m5cxQgi7i3r22ptzX\\u002f2bVpnhewJhp4I+dE22vLJCkNQuDr5yPgusC07pj0kee7gES7nr0M8WFZfxZdXzH72IKj7jTkPj75gNAMVXCF9Dx9p9vW9ndYCu63x+VIkWv0owHrk8+xIDAbwPQoTqz2wV6eafgwZl3ytDYNmlvtihuqouBP8W0ti9qubnTPTkx68DrIQ+nDZ0LetbbleMdUPzOM4Qk5AAiCDHzNUvA7wqY584mOniKh0UZ+U44GTD6TACCO1SzHEdWxYkW0f+EkQAiC8CNmr6SVY4oTpElrpk8UvyutafogA8h830MhQJV5clfwnZYl5vYPvO0PmqEtW1qK4gsA5EG5QZAL+tGAXfckKlzQcWQCAI3IfBWphvci1iVfa8Og1zqm+K6\\u002ftum+ntXN7yYkhTbMoNHyg+9qhZFo8unHO6bxE2OIwNuQIJBOLJgPdK+cPRULk3WOxhqPJhhjvYAco4CFSbUbMU5ENLTZPhQIEERAKWBNALmOeL2l8RN\\u002fTfMvGbiSqO13AMo56wOtsks1edx1S\\u002fN8i\\u002fmnlkGzPV+PSJNXrjmIWDkFaox89W4CVvN6SCCPwlci3\\u002fmOEvA6SK+n6S+OIU72Y9Y0CtYaA5oAOI4QQaBZEO6MNa4oLG77AwAwQ2DpyAQ+M9f91c3zhUl3mhLHDNcnH2KhyrFJ+KH+k7No0xvGIiCXBUQP93mHi1zQj3BkD1jX6rmTDYQbDImqWINpFD9bZigiSMcRiEIdas3fI81X2BdsfhwYfh19JuTdaxpPMol+Ylui5aCFvAIkAKH0WeaSzfciuS+HtK6fAcI6CJwLPZ6FHMh99CMfaemrgXg+EQo6CZGP6gae+c2ep5XWsGxHfkQLesBf3XyTv2bOvD5VdoP4x5lP3r2iaYEj5I9tS7Z4\\u002fugJOTOUbQtEoCWEQy90vA6SkAQricC8tmXaeKow7I9c0I90pFFmIn2SbRIxHzotRgSpGex5Wgkixy6IjwtS96s7mq9qv6VlFi1DPFDRTVYM072q8UTLpp8aBmYfUOBtyMWBooB7698JerQzBZXByDQbweHtLa8Lb2+5M9T60wkHwJnjMu41LheVYwSYfCYB94Cg55NpgMPBC2VGA2naTioGeyWtDYkGYYpPVxX0h\\u002f01zbfaMr6RFm7dA\\u002fRWqtFCqL0rZ55sSvETS1KzF4yeJi+vCxCRYlWoEhOLWn0QwGVYCmDZwR+bGYT1EERQABSvgwyKLe+B5o+x5rdZBQGviP9JXn3PwZ\\u002fwECAX9CMYDBDOukdxK4RHYi4Yh814JIBAkLECRyWtbYOmmQ6W+r682F\\u002fTfJ0t41WZwAe3NS0QQvzQEGgujaK5vs+aCKQjBgGLeF3jdcBmnwE6UFOeWyGwAFQW8DumVoXKfn9QwsdNidcKWyAINPs9KnAd+r\\u002f0beOy33\\u002fc+hQ59g9uhaBl0Lxu7mSvO7zPMWneaEXcR7wWQIPBlkFSWoTQ5xc082WSxWOK9DrHpubRDLwNug4GWxZxHPIHnSVt3+dWGDSCUl4GaP06iHMrgos9aydPs8j9KDOfZ1liPhjwAmYQYtsgI4j1U+7GTaek5yEchhjBSJFr9CMZTyYbdU\\u002fJm24J2RLGjLEQciAxnUFAGDMjZu1adIzStDKMtbYlCc9nnXbSZa9PzAKq+Hl0oKVB0g\\u002f4PG7FDzACDcutEFgKXphocHgrG+dCiAsIfL5pialQDN9nxUmBkWCAhEmEGPfRMsQHYz0cauTBuCMZKbGKCTHLcoWl+TAWiXDFVwYCSIBIQvqKdcTMwoAIobUwIEwLqKoiVFULFAoE1yKYAkn4GoBmIFaA0gAfoLgQQfqeZinxzrCpcX6aDRj0OWdUBNiWJWmyYE3zqcHtzTcLQ\\u002fzZKYjPSiGmljytvYg1CDLbTFkzQQAE+jMAoHX8ds\\u002flGv1IRtqaqplOOSyeYSZ8BJBE8rgzwBqABlgTOAZ0COgIAoqS32kI0wDaumLctaGEgDVmNBiYPdlA42QB1xSwDKBgC8AEoBhhyIjiRNNTheYf1jIZ2nWE4Xm4AMC\\u002fDVT\\u002fXg6wLYRCEkEn7\\u002fbmNyPGv2jgPY4lZBQwfE\\u002fHzJCiX4CTGWxIkkFR+yHR4wCABeNTmwO5oB8VIOZTUhU4+jGXLMAnUmEjgGMg6iZoj6BKhLhE0J6ADhJB537anlOb1tYGju+R+J8XuvD1jR3Y0B3CMQmzG0zMmmDgpFkm5jeZmDPRxIImAxMmSkAx\\u002fIihVapGh3eFpGMGg9\\u002fPq6d9lRZu31WOZ\\u002fSLoN\\u002fVCuP0pub3GgZ9nBh\\u002fY7qEwNfwSlohKQk2BtxkCGyZRF7AbZHZ\\u002fSQALH0iF\\u002fQchwLLEhnymBZAY\\u002fTEPHtcBUAGg1Ui1HE3IdwroXoIyifoAEmRbDouoiwQ\\u002ff7Pfm8YwAmTLHx12hRcdHI9vvtsF5Y\\u002f3oGndoZ4ameIXzydvM4RArOnSJww3cQ5JxfwkddXwbSBgDSEpl6ve5DrJUrq392CbCp6\\u002fF4AqwAYzIjTajnVsbJxQsEQH4o1X+Ba9AoIwA8YsceZgA9thjMYggDipyd9ZG\\u002fXeGeizaPuRyiy0tfS8unNMM2HLUkTwph5OO2pgx8UvWY5AOUD0W6JsF0gahfQYe9LSaBvhGeYuowBaGbYUsCVhE3FGGuebMfqpzrQGWhYkhCqvgd7\\u002f7waXPXOSZg5gxDUKlhVKZmO6l3zPudhaMcWIgjUn5wlm16fBcmKtzTOJIvOl4IWW7aYA83wQtbMQH\\u002fzfD\\u002fXoV2LKIjU55xFm68Y74Kea\\u002fQjFQnZhCLbOJ4U6mJ9EFZjJuBGIjxhu0C4XSDcI6D8RETISDcAqnjPAZySAEgiRIoRKMYkW2Lp6ZPxntk1uPyh3fhlWxEAYEqCTiNyP3iuG49vD3Htm6biTbNctFdFqJquYNYzyExcif4CTwQRhhpCiNf6a5rP9uN4s3SMi+IIH3EKYoqOGCVP6zQGIEYSA0ivn1iDdCzuA9BL5TVOkUfdj1A81P4qAQASdKxdEFJrDItsohJaA4oBLRlKA8WtAu2PmGj\\u002fi4GeTRKRT9CCwQZDcxIV1zoJvh2gnJdBlETbI2a0+xonTXBwx1tm4uo3TMUERyJSnKhNDUgBPNsd4EO\\u002f3YzvPNkNd6+F9kcsdDxiwt8iyxsR0HdRWe8ugVezlPcblvi0YdAUr6RVELMWiYCPWAaYwaYk8iO9M9bRMwCApeNb0HONfoTiVQ0PaQCIYz7eLABErHuN7qGh0+BYwSVAE3i3gL\\u002fFgNFBMJhATsYzmfxTjq1xYnZrAEozFAOZJSGIIA7AaSAkglyKNQjAhQvq8brpLj73h524d2sJoETYBQGdgcZFd2\\u002fFriDGv5zYgK52IGoXsDZLOE0K9hRVtkqyYysF2KaYpTTDK+rh+d\\u002fDuIWGBRn5eKCmYVv7eG5myZAL+hGI1D9X3AojIDoWEYOZ9mt+MhKhce1Ejf3gDx5+\\u002fYCP9j1AT6QRA4iUhiEIjiHgSKDOkpjkSjTYEjOqDMysMlFnC1QbArWWRL0rATD8mBFoTjQ+ei1pGmYrXbZJ7PU15tVZ+M7bZ+LSB\\u002ffgpsf29gb+09d88Y87sduL8fnTJiGMGWEXIXrCgL9VoNCsYE3WabovOX8Qs07bVkenHZZYQwpJjIdpIRS3nmkQ3XNYiDQPFLmgH8HomjOjzopxgkqolIY0QTMtXlUl8HxbhP9e14HvPlQ8oPPWmAJNNSZm15qYVWNiTq2F4xssnNBgo9YSZe0eaYavGLHmYWt8QwBenAS0L33tFMyfYOELf9yJzlBDUO91fP2RvfBjxldeMwUeNBhA1CHQ1SlgT1UozFaQBQbHiQ8+mhkJJjIij7WG+Evyy\\u002fHZyFKJXNCPRCQ96EyhOUWaPDNUGDLaHmugYCVBtRvu7MayH3Vgj6eS7BClee4B3tff6cxM+e5I48m9AZ7cG5T\\u002f5hqEBlvi2HoLr5nq4rQpLpqrTcyqNVFlC3gxI9RJLIDBIAwu+CJdU0eo8JFj69BUbeLiu7ZhWymGTIVdEnDL4+0wBaH19EkoxVze6vytEmG7RNWcGM501VvUMwrCzgBbkihS3A5LPQAAS8dpI0slxr1vkWNfcKIgdWlV87muQ+u8cPBGllgD1VWEti0an\\u002f5WO77\\u002fcA+ARHPGuiLlXRmxHvTMWb8GlU1ySn3oeICa1SmugRMn2nj1FAdnzqzC\\u002fAkWakwBUxBKcRJ1rzz\\u002fQOeNGaizBJ7YG2DJb7fhmY6grNmz\\u002fz\\u002f9yon44mmT0JNq\\u002fcQ5T1bqTFOomqsg7ES7H+wTn6bVhBfyg4XFba8e7xRSGXKNfiRiffK4SoFTBntwOQ2iVVcJ\\u002fOJ+H\\u002f9y+15saA8hs+2ACZKSgFr2+v2De\\u002f8f5PWGoLIA7vRi\\u002fG5zjN9tLuKqh\\u002ffimDoTf9NYhdOnunjFJBuzay0QEhM\\u002f+wKSaFl2WUYahDuhwcZ33j4T\\u002f\\u002fjrLXi6Peij2a9+eA8mOhKfOKkB7YFOHPG0ks\\u002ffJhF3C1QfG8OYoKAiKlsyBwJicFL6S0laben47Fbrj1zQjxAwg7AUhAWgJ55IWE41cFJq5\\u002fYhcNIaEBJwDYHrftSDz35\\u002fLwKlYcokf50eEUAiKLWWRK0lMKPKQHONiUmOxETHQK0l4BoEs8LG9mNGR6jQGWjs8hU29UTY0hOhPVDoDPU+xS7Ze2PNeLYjxLMdIW59vB0zqw0cX2\\u002fjrJkFvHF6ITmvK0EASnEi9NlmJQjoDhWaawx8+20zUmEPy8IuCGi9fxdm1Zg4Z1Y1OgKdNMqkabeoh7D3EQMTjidUz2JEgUYUA+IAkstJNITA0L8HcMTwyOeCPk7BAKE1EWxMBhEhKwsBMipjxmz0K5TRGrBMQCvC\\u002f1vTgWvv6ij\\u002fLRPyEyfYOGWSg+MaLMyrszCnzkJjlQFLUmqOU9ksH9B3L6fcevPrO0oxnu8K8UJHhKfaAzy628dje4M+gi8oEXzFwJaeGFt6Yvx2cxIQfMUkB6+e6uBVkx2cNsVFS40JmQbwYs0IdKLZZ1aZuO3NM\\u002fDBX23Bxu4o2eeQWAWf+r\\u002ftaKpuwgkNFopJyy60ZpgGoc408MxfNH58bwc+fk4VptZLFH3utXCG95mwEJCBp0vSoCeG\\u002f86xxxGxGx3tKGtrQGABeKBSSm6F4c9uaokjzJESp4FxJoj+RhDMzOzWGrBtQuAzPnzDXvzor4k\\u002f3lxj4vgGG2fOcPH6aQU0VhuY4Bhw0nLTUPfVoH3O2+\\u002fn\\u002fg8Mpf8YBFiSYEuC0sBuX2GXp\\u002fDQLg\\u002f\\u002fu6mIx\\u002fYEeL4z7PNeQyQbimLus19NdCTm1ll404wCTp3soLnGxIwqA1NcA5FiuAbhzzs8fOAXm7HLV+XUm2LglIk2vv\\u002fOJjTYAgzAlQK7\\u002fBi\\u002fauvBVY\\u002fswfMdEd4018G3PzEJjZMlSh4PW7MzQ7kOSc\\u002fnh1wzOJPO21E8Unz0XNAPM8pGdmqGA2WiwT7YceP86vqa4rw45tcT0SsF8bHMOMGxaVL2VAcRo1LIHZuws0vhQ9fswd0v+HjPMTV4V1MVXjfVxexas1zokvjDSfELpaVhB+qzlq8LvQU1REmfuSkIkghSANuKMR7d7eOBnT7u3pIIflCh7TPfPivEqUSdJTCv3sIxdUkKb1atiVdOdvDn7R7+3+93oBgl\\u002fNYSibB\\u002fcG4tlr1mMh7Z7eOP233cs6WIR3b7AADTAKIYmD\\u002fNxLpPT8bxU02EISe1+\\u002fu\\u002fxtitEoZf1He4i9s+yuvOlbRw\\u002fbitb69ELuiHGGUTfAht\\u002feDyV5knGrvmKWC+KTA\\u002fZj4doNMF0GCZZJCVCHYUMmKVvj8JfCcECAxICRQD4CvfKGF7B+Hc+XV4dbVAnUEoxoxAaWQhruEWsRzkdfepqjMFUGUIaADFSKOtO8L\\u002fbS3hvu0eHt3tY2N31Of9ghLhZ0Y5SFcJUxAmOBKdgYJfsTNk6ULXEPBi3ed4gpL6ec1AtZS4\\u002fQNT8N5zLISKkyFW+ys4YrBtEYUhf8Jd0nbTSGmqxhK5oI8iKgNmeAK8FMCyfkMNuBUGGmdP9GR8rCC8ipleR4TjWWOm44qJMAAkAg2VmNOaEz62xEIdKF9OgGTg\\u002fvtNbN8tMa3ewCQVow6MiBki3RXGElnXGqUULYYguAZBM\\u002fBSd4Rn2gPcv8PH77eV8EJniD1+3\\u002f0wM\\u002fMTy6Gv1q\\u002fss8l+zr6XlFy70lz+3RunF3DJaybjpAYHanKE2hPi4cTNmQikNbQ26LTqj258OOtxP9B7cjiRC\\u002fpBINPWdwPirLMAOnvf3Z2XTy+UTLmAWZwsCScy8ykAneRaNKnsXDIjjhlRnHCFgyDSks1hfT6SgKcfM7FpqwlhMqo1Y47Jo9qiPtpIBD\\u002f53sl8+9T0b+uJ8JedPh7e7ePR3QGe2BugIxjaQi7n9Ln35\\u002f6ye8aMAs6dW4v3z6mBLQklxSAFuM0K1cfGQ+bZk0IZUBBjU0HQsbRooz\\u002fIacYlxutzcESC17Y4gaIWFvEsYvEaJj4doJMATHIsKsAiIGJEESNWYBAYqaJJhXpECR\\u002fmxOfc8IyJZ14wIM2EA+JYQ8OmI+QJRCKc5dp4JC2qBSO5IXsChQ5fY2N3hL\\u002fu8fFMR4jnO0LsCRS6Qo2uUMGLK0x39B6LkQQil8yvx+umujhhQlKi2x3qcloOBHBEqDo2QqFFDSrsWSCuFPC6qsVtHzzkN2WUkafXDhDcCqM0u3FqAebMgOPXM9MrfdbHMeEE15W14ERTswZilZAbINBpm0XZBD9gmghmwLQYOzaZeO5FE9JIzNmpguHSkTVKtH8pbKQZ7UHi3ZtEmFFloKnGwBkzC0kxjmbs8hX2pl9dUbJnPrw7wGUP7e5zS5Vm\\u002fP0xtWiqNtAZanQEqpy2A5Dm2hmlFwwYBYY1RYMjDCDszDAFpK\\u002f\\u002fBADjnWiiP3JBHyFSNxOdjY21lqKlbOkLbEsm1c460dZeiVVq2CePSxbcpuHEdoe1BkgD6N4j8dSTiRpnAA4BE8UhnMl0mEDImGET3qdAcdp6ymVtXW0K1FsS8+pTWlYC3jWrGk\\u002fu9XHnhp4k+AZgSzHGlx\\u002fYhZvOmA7NDDlQsCIN4PU8Y6CuECXNMAplYU\\u002f6WEiGJa2Y6FEAwBNHljWcE0+MEFnOtP7CzXvdtk0Xe2F8rl9UT0IDfsA6VhwjITTInr+BA2gHswYB6Bh4+ikTflrhpQFMEgybjoAOixEg871F+pXdVMWArxjFSKMz1NjtK5QixhdeNQmT3aQbNauq++GL3fjzDg\\u002fVpuxfX4TshSQA5RN6njUGaoBh2ySKFbbEjp8VyhxRtzkX9AMAZQ1fy8BVS7Z83yfxBj\\u002fgSwTBc11pAOCKIO+oghkwBOOl50zs6RAwjMTHdQBMFInJfkSpmgNEFsfMhN8SBE8x5k9w8M8nNvQR6FAxbkj72gdFWi4b7hYotRkJhUdvtTCTJEjiF2r+cecO5iMn2p4hF\\u002fQDBCH1wtdBNiza2OEu3vilSNGbwkD\\u002fwrVIOMlkU8WjKfAMGCawd6eBlzYmwTdwolomSoZxxITfDg0kJQQaHz2uHsc3WOX2WwLwm01F3LOliBqL9inIKSMVdm+jRNQheoWdQGCGJr4bAJ67HuZoT2o91DiiFjseQQuhsnG61RdsfNhe1PYuz+fzYqU3uAUhhQDp0XCbGYAA4hB44Tkzmf+TCrlNQD29vIUcSAQ61IwpBYl\\u002fPrGhXKwjiBBrxtqnOxDr8tyJQQ\\u002fCMVB6Ufaa8NmBmOIHl8M89lMIkpl3kNyakV2Pb4z7BR5JyGZ3EYE33zBj4uQq+VkhxCcMi1zP15oZJA7QX2cGTBPY+JyBp56xYFhJTkoBmCCAWVK\\u002fbMz2oZAF6zQz3vWTTXh8b1AmsjAE4WfvbsKpkx14MQ9eRJQKe\\u002fXxEdymchSeRVLf8ySYVzOJH7uLNr5UPm9SJZcRUI87vNyfi0OCytRLcWXzq0wLl5iS3qk14EesDiRARwIIi4Q\\u002f328jiHsr3RjAMYZG7REahKsslS3\\u002fnGIIORwSMQP1lsAdz3bgU\\u002ffuSPrPkQTw\\u002fum4Wtx4xnTsTdNslcfLGnQoXYiwGXWnRhB27wIdkwCDEAV6q9a4Uymsqrqw7aHy9TAElgLjzYfPBf0Qoc9sLwCl25rOM4m+bFiiJfA1lIYe7sAABmBIxrOP2XhxkwHT7O00cwHMNROyhXGpSlJkTS\\u002fJ95yOaSIYBEjRm6KQVFnq2ms1A1zx\\u002fv2fyyBCT6Twrp9uwuN7AhgiMd8nuxK\\u002feW8L5tVZCHTCIaHSklqlk+9jnRrjMaFqVlI1lw1ETr0lbUsyhAkEPkMI+lms+LuuoO+nFXPgdZCoGL081sgF\\u002fRCD10Hi3GRKZ\\u002fcdU6c4sfNfJPlCaZBTSkYJg\\u002fYTKxECKHYKPPhnG1ktByF59qZLxkzBGAWWpFFB\\u002fy62LJ+dNakYqVAbRIg0J0UsoUJPpOHFDC\\u002fS6I409gQKe3yFrkDDVxrFiOEpjVKkUYoZvhpcfmyZ0FXVWwJ\\u002f2e3juY6w1wJi4G9n1+AtTVWoNQUmOhLVpih\\u002f1doCdVZCgBFpBktG1StCKEf3MZnS\\u002fgMGQbhO0mTvhfo5g3Cbhl7vLN7yXPbau1phnLUUaizbWcfDs\\u002fGyQKU5X1rT\\u002fHpD4iumQWdrBfgR82C+e+KbM556xMLGLQYMs1fTERKzvWaMzPb+HWpA0qVmS5HWrjOClBuuJ9bY2BXipe6EcGJLMcIOL8ZuT2G3r9ARKhTDoQX4UKFgCNTZSQHOJFdismNgRrVM+uBtE\\u002fMXCJz0akIUYsB2Vk7GVQvHJCKTEPi6nTXulBav\\u002furzm+7LGpt4HeTSJ8BLlyUZm8N5jbmgH0b0M+cpvq3pIgj6ohTUVAoGEHYGhAGUOgkPPmAj1FSOGDOS3Pmxpj6sHyKnqgxIWkVN0VsdRAC2l2K80BWirTvClp4Yz3eGeL4zxHOdEbpDNXhqK0XiT6e+c3phfXzoPt+gj38\\u002f6JrRt3stq2LKgnTxfooeGhyB335uKk6Za8EPeFD22kzLGxLStAWiQGtm3KcVr4lU\\u002fNPai7ftBvZ16w4HckEfAzy4\\u002fFXmq\\u002f73IU3roXbcOL+6obrn21LQu4OYudKMT3xz4IWnk3r2zDcH0ty5YLTIQ1vymnWZZRVqpkgaToCURaak8EJXiEd3+3hol4+XuiJsLUYJ\\u002ffIg6O+LA1nXGffxzccC2dqSdSTsM5ECPvfOOnztvAYUi3q\\u002f9FNp7YQmgnSspKIn9PQLIHyP2bjNWfxiZtYTr4M4HL58LuiHEcygu5dCnp2SFZRWTWuBtM4TzIulELMi1W8aKgE6Av78BwelkMr8aJl\\u002fPkvqQ1INV+lnW5LgGiLRfMx4qSvCX3Z5eHiXj4d3B3hkt78PISTQ2wfOmX2PVFNTX+06GCxJmGBL1KU+c70lUW0SCqaAIwlVpoCVWhRSoA+BZYYsuLY3UPjGM53oDnWZfKLOknhbcxVCxdjtK+wNYrT7Gnt8NSDRxYQqgUe\\u002fOgPTJ0gE0eBafYB7qcFg1yIJCfie9knQj6HxTWdJ20\\u002fLr2uFAUAfKoHPm1oOA7gVAguSMUoA4tLy6c2mbS2JYv6Y64rJHDL8iFEp5EkLKmPbJhMln0CybwpKImliAUZHyCs1tyEAxxCwJLC1mPC+3be1iF9v6sFLXTH29usNL3O8p6vJTG7FvRZI+Szpzw22TL8EGqtNNNeYmFltYHrBwIwqE\\u002fVW4udb6ZedCnUS0OtLRLE\\u002f892RhMf3BLh3a6nXXGfGv79iAuZPsBPhTqe7+orRE2lsLUbYXIyxtSfG5mKElzojPPZCjJmTZO9uOwwQkikxXsSaQ0AKcmxHfDD09Qe9NU0PSyGXxzr8OS3euil9PXRFAHd4Z9k\\u002fckE\\u002fhOjvixVXNc0QEh8zBC0yLJoJQuXgvz6PDhHAirBzl4Bigkl9zXaXGOYoRHQyn1sSodYSYE403P9uKuG3m4v4yy4fj+3x+7yHkKTEmHvJLbLFq352t6REqI9vsHFcvYV59RaaUrLHqa6BKQUJK61E4Yr1JBZF1que0OwE6YinLD03HChOOOfe3lyNe7eWoDnRxsVI475tHo5vsGESwbVEuXaekLDSZhuYEEAcAYEVIVTxgQ6TFCkxBnueVgQYjileCQO3sm9sKa1p+oGUYq390Y0PHwrfPRf0Q4CygCcaXJVWzWqB0OcT88cdR05RIaNU0lnhzL6D\\u002f9IgXLFLoL1dQhq9wpNpMRuAhQOPtitOggGOQbCEQHescdeWIn7dVsRPX+rG5p5espysgSQLAhIqcuL9tGnBEDihwcIJE2ycONHGyRNszK23UTCozCSjkTSaxJpRihjFsmmPPufs\\u002f8ssTtBb1bJ\\u002fiHR9Z84swExz6dl779tWwqIT6sBIJ82kN5P3+Tf5xuoRUB5BOHzANz5ducEAexEzQmbbpJmWKT7pe\\u002fpjwZrmn8agb6govLf24m27Od3zD+xsvcgFfRTRz0RX21dOmVpvOv8siS80bDEzDhheSSsQSAwx2TMTpq4Ogh8RDHNfDWZRXzaV4SDTmpKAelsgVIyn2kP88IVu\\u002fO\\u002fmHjy5N+gTFU+CUvvSQGeBMyDpC59Va+JN0wt4zVQXs2pNNNWYmOYaiHVCJR2nzK6lmFFMCRspNfEPRDuOBERJPnxGlYGTJ9p4aJcPmfrpD+300RVoWDK1kYdyhQQQlwSiTgGnEIPV8DebAdeVGUKUTnuNmBkQTq14n+pS75FkvRHAbrQmXZIHfqYEuaCPAlJSSJkxgvasbZkmNF8kBV1s2TRDhQyvpOPUQt7\\u002f6N50C9+5LeWGqjwXEk08EqqoxP9mOGl+uyvU+MELXfjJhh78fGNPHxbVTAiQviejW6qMT00tGDhzRgGnTHJw+lQXJ020YYrkvYoT83qXF+8zCEJk2vgwgpAMrpjkSLx6qouHdvnlFWwrxfjrHh9vnFFAcTgBNmZEHQRn6sEJ+QBrFAyogk1ClXiDwerD1kWb\\u002fjSa5JO5oB8E+gfZdq+Y2VhvyfMjxf\\u002fiFMS01ETPqt+MYQdwCIgDoNvrayaX\\u002fw7Aon3N3f7IhNOShIIhsKErwo83dOPbz3bi6fbeYQrZA55F2gVR2U\\u002fO9oBZtSZeP62Ad7VU4eRJDqYXDBQMgVKs4StGqJAWiiXrNw61qh4J0qWcPNEGkJjpMtX0T+wN8ZamanSHMYYcMM9JsUzcLhJeuVGsOWaGcl2SUcB\\u002f9Uv0D7X\\u002fsvWptLBw1CLwuaAfBLLdtvP2GRNtZXzMkFgiLTGLg1SDE4TIuOGGCWbAMBl7txsIAhpwiggBSFvRBz4GEoF1jaQUdGN3hO8814nvPNOFtp5e\\u002fvRMA1fmyTWnATUkQbS3NVfhbc3VeM0UB801FqLUFPdiRjGKy4UnY00nPRQECH7MOHGig2pToCfSECK59qc7QkQ6kaphHAjKJ8RFglmbulMHcd3MYCIotyCM0Ne\\u002fDmP\\u002fvNp\\u002f2bmDW2GkI7hGDbmgHwT8VTOOYzIWseKP23WyBmEywA8ADAlD6yTKCkCBOOFmT0IrZRd1oOMKAnpKhCgmmNa+\\u002fjkhGYHUH5mAW1KgIAWeag\\u002fxjWc68Z1nO8spMZkF1VKBruzs4jTy88bpBfztrGq8o6Ua0woGbEkoRoz2IE4Wjt7qsiMBREnEfk6dicmugZ4oLG+Sz3cE2Oursp++3ytSQNwpYDaog6o7zghJHFcYga\\u002fX2FOtj9vvagtSg2rUh0Lkgj5CZLO2+PYZE4PYeC8DryCmR7yOuE4QVWvmAgAHRBYYrmUQSRMSppDQ6A1dx0nuvD+IABUSil1iwG2A09f0\\u002f5PiRPjrbIktPTGufroDdzzVgZ1eIuCZJZ2Z4pmAZ+b9BEfi\\u002fcfU4ANzanHKJBvVpkAxSvztUqwhQAMTK44zVFbWlU2p9H5VGwILJljY0BWWN88NXRFizai3JUqx3vf9le44AcyEuGekYdB+a2RoIUC2SVQqqkuqLtj0JVDiCo6muV6J8f\\u002fJjVNkAt\\u002f\\u002f9x3fam5wAmOS0lGdkGKSgKrXChMgaCoRJrCmySBYzJgrBE7aR1sLIPIJf7nfRndA+wSIGEmhzLGGLvvvDKDGEugMFL77XBdWPtmOFzoTEz0LrmWnyY6XCfgJDTY+cEwN\\u002fu6YGsyptaAZ8GKdavtRZrU8hNDcW8lnSwFJmZWSzJlrDxRCzbj64T34xjOd5cIZBrDq7Ok4dYqDOlOi1hZJjCF1a0oxl+MWRADHgFWvUXtKdED8TMzQliShiUPF+KR7ftsKIAkBjEYabTAcKZ\\u002fjuEXGKgMAAwn+QOi4sXFuVbX4JhGdHiUOcfmREQLwSoQ\\u002f3ecMWNrKAFwC5hnJEAInrRz7dVsRl\\u002f1lNx7elRS3SEosS67Q4ECvgJ800caS+Q04p6Ua06oMlKIkqLaPFhvHyNKFhkjugyMFtpdibOyO8FxniEd2+3i+I8SGrgjdUTK73UuDh5Ww02ClaxCmFQwsmGDj9CkuTp7k4Nh6E1WpXx+lNFTSZtS9IqWFHoH+ZSB2TTJCxd1xpM6vunDLD\\u002fguGDjr0LewHgmf5xEF7h2BjGxaKjBfAgAtfDIsrml6ryXoRsOgRi\\u002foW9vODBgG0L5H4IEH7AEDcQzABWOuwaizkkj61Y\\u002fuwbee6YTmXh+8cjRRRo8MJJHni09swLtnVaPOkvBijUBxuTb9SEBWPVdIg42dgcKfd\\u002fr4zaYiHtzp4Ym9fSe1HigKBuH0qS7OmVWD986uwVRXoqQYYcSYcFoEs14POcap35pj1xVGFOkXvCj+SN0FW\\u002f94OIdAHCEf7ZGLig+TSqsb\\u002f8uQ4stS0IA96Jmgb3nRwBPPmBAG9jHmYgYaDMLxpsb3nuvC1x7agy3FqKyFK\\u002fPdskLA59ZZuGhBA\\u002f5+bg0m2hLdkU6q444Q7Q1UzGozCLYQeHxvgJ9t7MYPX+jC0+1hn1tlpTtezH1nr+8P2Zhn5r5TXGfXWjj\\u002f+Fr8w7H1mGJKiPkh7CmDj3CqBDOUWxDS9\\u002fRDgTL\\u002fof7CF54\\u002f3JNejpTP+IgDA4RzIWg9VNfy6ZMcx7zJNMVC39esGTwQjVSWWnv+cRsvtEkYRt8cumbANQWKXoRvPbwT33uuC0BfgQYqylU5GVV80Yn1uGhBA2YUDPTEOmFCPYIEPLNQshLaR\\u002ff4WPtUJ36yobs8dZWQjllG0l9eiRorZZAxkoKhZ9KUWoYGW8IUQHeYsNhkyFpWNfdOb51Xb+Gzp0zC37\\u002fFgdO8n8GMDCZAOwUhI5\\u002fv7AnleRMufrHzrlYYZx\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pLAQKT7BAg\\u002fZG051Fwi8w0AfojkNox5Xv1lI+iczSYgxOGqptO0QWtsW5xUQdg4uBZnaBBQsEkoBXge\\u002fwosLi1c8NK92WtKy6c3S8e42TLpHN\\u002fXzMABl8dmannSVIUtOwbgfO73UoEkKNfDhFriw\\u002fJUVZazPrLLx6f+bwce2e2XI+uCEiE\\u002fY0YBt5w1DdMKJjqjwyvkGUxB2O0rPLzLK68dAOZPsDHRkfBiHh6nvWCY9Rokkuj7IGDDIESheBsSQR9zIQdeJqZ72VQnaG9V0\\u002fnCEr+2DTqpVNKKkpFiA37MnFh9yrVJuCaJOObfxxG\\u002fu7Ck7R2FC166l9clgtyzpvHtlm3ea5nyHM\\u002fTigfmNxg2sqxMXb1GwdbDyvEygJ0HN\\u002fdv2NCcXFydJbD++S78\\u002fS837yPkioH3za7BHW+ZgcmOkfTLj0UMmgFTAhu7I2zojtKuwETUXzvVhRDD8M\\u002fTtJosJILOA43Q6X2tUIEGGO\\u002fm5dMLtGz4KfpDiaNe0O9KTHW97Y6pVaVVTdc5jlirNRqGImzMIumOQcJ1hYxifiRU+qPGhrYznQvafsZ3JZbQ0ifApVVNXzBI\\u002fExKailvHAe7aAKUAtxqRsNEDRXv36EVALqY0MmH9kONddJDrpnx+T\\u002fuxAW\\u002f24ZdXgULTirkS06oxy1nTYMtBbzDkCMfDBqJRv9NWw+YeznvJQGvnuKA+qfDBwMDZp2GcDDkbkoARQpsSDQWhXUGAKB17AX9qDXdGSCsg6CFiL2bm+cIjdVWdRIBT1M6+w5QSGoq2DJISouk56kNFIurit3WNyd96vkuAsDr5lt09pNh9x1Tp1jautmy5QcCT3MpZD3a7aogYMpkhW3b5bCi7wRgpxKoNUY\\u002fgZuppQmOwF92+vjcn3biT9u9fea0MQOfO3UiPvPKiQgUl6mpxwqCAC9m3LO1lP6c0DXPq7dwXIMNXw3My94HqX9kT9WJkO\\u002fnehhQpi2MmNV7APyydzTX2OGoFPRy6mwhlLey8R2GhVsNU7R4xaTKrf9dTzd1ZUkypEWIfN4We+oGl8QttGhjBwD0DsN7MiytaHqTxbRS2uI4z9MKB8D0us+aU8WSyQ0RoGJgwlSN6ucZ3f6+k1X7QwAoMrBbC0wTGsMcC7ZfZEwwGsDKJzvw1Qd3Y6+vygy0RL0VfZe+djIunN+QpLFobEkxFCclrn\\u002fZ5eGpvWGfv5062UFjtYF2Xw3N4Jma7WYdw6zTwxuqyCCtAGI6g1dNrKGFe7rHukf9qBP0MkFEK0RPU9PnhUGXCCJR8rQS\\u002fUpZOcl86jQXbqhQbw8DfUcUetdWX7x7W3Y8TAbR2QkHWGl1y6el4EuFIMtLTfWDkSZOc6+mJKF13zlhySw2jRkzYzz9rAXaT149NQKwQwF1BNh0cOk2nQpxvSXwxN4QX3lwF36+sQdArx+eCfsEW+L6M6bhb2fXpKSN48AxRWJN3Lu1lNbR99JFv7WpOt2khrFKJthTY5AJcIT9XhgRZBBqbRq0wIsLrwD2\\u002fF9aPDNmFFNHlaBnzJubb5gx0a8ybq5yxULf0wh0X388zYWzIAinIKRX0l7o6xU65Bvcize9AKQCfi401gN0NuIty6dPmmiZ19sWfSgMGV44sqEM+6w13WQsk6SUIN\\u002fXOxmAEDQlE+ZEUxKmTIvR1mbAi3oHAA4GQtLsslULzJYHFprLIurVpkCoNJY\\u002f0Y6rHt6LnV7cO1ecE7LEWCfR65vOmIZTJzvYG6ixCbr1Q1YN1xlqfP+FJOXHaSPCVNfAG6e78OOBy4v7HEcB0tWwpqihg3D7LoANEyJWdA6A\\u002f8MTOa\\u002f7QYMBQiuIliEO1jSfKiTWGqY4OUudUYVZzQxFBOm6ggJfx6Wi\\u002fra29JWF8zY\\u002fDlQIeBpyoYVQ4ZrGV5MUKwxLvML3dMwMeTCmermirkrIyNc7Ao9\\u002fKomaQXx2fyHWCijUMKZNVXhhozGs7i4BoEMDuwiYKjAiE15xwrrqGoQ\\u002f7\\u002fBw2UO78dvNmX+LPiHkWANnz6zCjWdOxbSCiY5wjCLrA0AzUGUSfrOpiKf2Br2DHQC8o6UKk12J4iBz08ogABpwpitIG8MekZy+lzgGWPPfPrgc\\u002f42LEGPZQVzQQeKIj7qnhI1My6B7VjcuEgJ3GZJO9ry+qbNyX7grpJTQoa9\\u002fpJR+Q9UFbR+tOW\\u002fz49wKwa0Ju+v69eV0HBdXN32MhPidIekVpaJWSBTFiB\\u002fn\\u002fhV1QsCPff31OOZ\\u002fNSQ1Wya9lYj22XiTZgzCzJYYrtWX+nkoCADblEAP79\\u002fsYPRSIDfYAjtLMT73h534u59vxm83lxIzvCJ1ljWnXLSgAd946wxMStNn442JlojK2lyKJMYgBfCulmpIoqEDnBUpNXu6HrgSbigwKIoZQtCc+br5dCJwlo4dCxzRGj3zxzesbXGmsb7cMcW\\u002fxv1mnWU9Rq5NAgyoWP9aKX2Nu3jzrwBU0kXp9GeDFiLefd3c2kJt+HXXEovDUMMLDjyqrhlaAOSkFXWBr75Nir\\u002fGoDmWRTdIUzR7ntaD5d61AqpqNBpnxnjuRROmtf8aeELiEG5ShLkGD1oHn81Ir7MEukKFGx9rx\\u002fIn2rGxK2nnrOSVz0z1GkvgktMn46PH16GkRpfXbTSg0+Dh43t8\\u002fLqtp7cYhhM34\\u002fXTCsPbmDTgzFSQBR6Wb14JIpDSiN0qYfvMbwNwHyafScA9B3ZRB4kjVtAzgoj2W1pmVQmsNi35N4GnlQZIEERa7IKCRQIC8AN+kDQus3\\u002fV9iNjfRKsW78AlHFwM4OwNDH\\u002fu1fOPNkywxWWLV7jZwUwB2CqpxpcFBwSUQQEnv6lEmJZoar6L35P96WOJT6tNVAO6g2CrP69sSXCtu0SpXD\\u002fEfisYq7IibDPktznb+UmFFMg1Iw7N3Tj64\\u002fsxcO7fQDoM+ctM3tjDcyts3DDGdPwhuluMgppjCPrA4GR5M6\\u002f91w3OsNsCEbin587txa1tkBHsB9BV4BRw3BmjNA37wtixWDmtz173dxL6ex7grGKvh9xgs4MWro0EdCe1c3vtiXfZJjUXB5LnCg7ZZskhUGIAn5SaXXVCzW13zpx4ZMh0LtJlI\\u002fZSzrBwdrmDwtJ1xkSEz1Px4SRu51lK8IlqWMgivAbRepqd8nmX3Usbzom4O57nIJ8rVdMdOVwSmW1BuwqYM6cGI8\\u002fYSYR4GE8LhJAuybYBMwQjCiNlNdZAn7M+PnGHqx4ogP3bE3mnPWfuZ5pdEYy\\u002fukrr52MxmoT7fsTlDECpzGGjd0R1j\\u002ffVd6kNANTXAPvnV3Tp+Fm0OMAcGfFCZPMAeYpiSCDgNmUOK2lSs8D8DiWjg0dxREl6JmpDoBLa5o+LwlfFYLI81ilGjc2DTIMi2Qc8IbIVzfae8Ll1n\\u002fsKAKJPw8C9xNyg5Yh5junF7xd5pWWQR+PNeD5rEbCLJMeX4MA1yIBAEHA92rgxsKitvUAUFrT+I+GoOtNS0z0ilphP73plcjy6tMaY2zfJrGzXcA0hifsYGBrDNgWodkiFGONH77YjbVPdeDetJCE0OuHZ8hSZ7WWwBdPm4TFJ9RDccqzPg6FHEg0tysFbnu6EzvSLAEoIdl8\\u002fzE1aKkx0TnU+ikRbHuKhjN1P+Wuw1oP2DDJ8HT0HgCPj1XxzDj9uPYBcVLlpjpubm4oVOEm06QPBQGz0tAEIM2FwyvpPaZBN3ZEesXkCzZtBdJI+kLoyrRy5Wglf2XLCTB4he2KN6ajlUbMD8ecNL0AgB\\u002fovwhBlz1XVf3jExc+GSZDH4pXGRKfZA2EMQ9pqg8FIYGeDoEH\\u002f2wPGU3nitJOxyCYUmBXMcKzW7vxw2c78MBOv\\u002fzaTKArf860+GunuvjKa6fgtCkOuiNdLiMdj+C0aGdTT4S3\\u002fbgN7YEqd\\u002f7VWAK\\u002feE8z5tVbCIZqYmGATEb9K0OIKhx08wAzlOuSDHz+vb2x7UwsTYK8B3fUkWPca3QGaP25qZCvbDy92sIKaYlT\\u002fJJWmhlSkrQdAd\\u002fTJd\\u002fTK0jQdeZHN74EJNoay6D6z8Kq5Ifz1zZ\\u002fQEq+0ZBiml9KTPVhry3lh3MtkpCEONKPRIqvdds2fYuWJQU23StnnhyWum+2bPkGz9OcCsoBR19VDNQ2KMyZHeHpZ00YVl+trtMEvS0FTElQGnh+r4\\u002f\\u002fa+vC3Ru6saU7qRCr1OCZkBN6C2EMQfjYggZ8+tSJqDUTn9YQGF6X1xhBI9nUbn28HXsrWHM1gPfPqcWCCTa6wv3kzjWhak4EWTO84pj9gAFQGLLW4JOC5ubjHWp7cizms41rQed1kHQuNAjKW9V0Pgm6QUqqLhVVSILMQkFSFGo\\u002f8PR3iaLLnUXbns7ehyfAmbDtc8yFULy2xSlpXmpK+qxmwPP1sE31rCbeNkkKk2Toq2eI6Yb2bu\\u002f2qZ\\u002fY1ZO9rrS25R8E+AbLoknZ0IfhElAMBiIgjglNx8To6JDYtltCSg1wUkzjGAKGIGzrCfHX7R5+82InHttZghclqil7yJkHNtMVA6+Y5GDZ6ZNx5swCilEy2HC8T2rVDFQZhPu3e\\u002fjuc129zDYA6iyJCxfUIxoqN0mJYNvTFZwZeth+eVbZmBLsJ8WJCbu1EAQSkghgWBPNuuKu6H0Anrz7icNvSY9bQc8E8vFWWPNub77CkvSpIGJ4gY4LBWGFASMO9XeigK6vumjjn7L34Fzo1I\\u002fve7wkqi5pIeLOFTOODVgvLxTkWV5JA4Rh8bVnGtw2SAqLEHjqJcS41o7M2+jiFzuZQfgEsGFtizMNfKkl8f+YCQc69GGIdUAI4NgTQnT\\u002f2QZBQoPRFWg8uLUb97X14K87S9jS1VvfLdOBBf2f9YyEIasL\\u002f+TJDbh4QQNqLVmOWI9Xf7wP0o3qaw\\u002ftQU+k+2xoHzm+DidOsNERqoFHLac5c6OWUT0vSiyktJ44NZCAzNyu\\u002fBeAEJCmJBIGUp8HQMwIY4ZmDrXiDgAvoFu\\u002fJIg3AMDZyw5\\u002fKey4FPRMyL3VzXNMieXSpLf4Pke2SSaBDM\\u002fTvyXiK+2PprnwTIMPYg619prqcc\\u002fa5nMsgVtNs5cfbn\\u002f+eLprK1PCMGwho1BvinxeGUbxLbUXb9sNALz8VSbRQ1HnqlnHuULfah4AV9xwkaTbALdGY8GJEW76SRGP7Czh\\u002fk092FHs5S2vfNhVv6hd1nWWCf67Z1XjP0+diJMnOmUtfkQIOBIBb7AF1jzVgbu2FJNqJ04IOKZXmbh4QUMaaR9YyKEBYQDVx0UQNqBjaCJWDJKCIKRAMkNLoNfnEQA0w\\u002fN0GGjewhFtFsTbAGwBYQMp3kimetp2xab12Bwu7Ptsvrx99HLxykKontUt7yTwSmnQTBUDjkVmEPEDStPXCos3\\u002fSj9LMsBtUGPmW4ara0Q\\u002fzWr6UuQ+IIAmQM1uezz3lSDS5k0vXhF1QFf39LN8S0TF2\\u002fdBACPt863Fix9MiJ6KOpe3fghS+jrTYMmpVH1IRujRnRvUoroLDdDBEQhYcoMjaC6B3fe21k2NSUltuRAlmolWSMDmDfRxaKTGrBoTjUsQpnP7UgRcs3JkIjnO0Jc8Zc9aQyBy7GGz7xiApprDHQEg2jz9B5VHRfBamCoEHAdErCFQMDwAlaauEdpdGvNe0jiCTBeYOAFQ\\u002fMGJdBeTXIXqjbuGvI5zEaqj1EH27j5OCtmj6O0uvk\\u002fDYOWmha5iBmx5ocixTe4Gzd9o1zBVvH6wXBXK4yzlyFuX9syy2Z9s+vKd\\u002fqehk4aWoa89gqGVwSe7mJgNcG4xVn84nNAGug7K2l4+cPVje4rJ8gvGwKfEQQE0YFH1QdYBwOAaxF5ITPAmoiyqj8QAMMgLL5pL75xfzcMCcQDPG79NfisehvvO74Bb51TB9cS0JFCo2TUiaSiLjv2eEYmMbYkfPQ3W\\u002fCLtmIfauk3THex\\u002fh2NyabGAwQS01Ra9bwYhVkKKoK2bBJxxA9ozT\\u002fWgrfLmNoiS2zu9sONMy\\u002feVhpqPXe1wjjrrDOBXffwegDnJvEl0Bho8P4YF59lucptbUt9lcB1pkPnQQO+r58xBV+7a2f4jelZLnyAVNk+x6soa+1Z0\\u002fh2S9CtpiVneV65yWXA6079MU0E6bgCUaB7wPRdzfEVzuItz2XnXw\\u002fgXCSWR8fypmMKDpabtnyz72mdDvw46NBVOaJvkwQDXqifBpEg8BwQlYeFMQNSAlEMfPDa3fjZ4yVIgfJAgsyMzW7WzFoL755Xj7fPrccEV6IU6TIzjAQwVWpMESj3VI6LB2QQKGY02BI3\\u002frUdX\\u002fjTzsRaYYAJcKTAj97ViNOmOOiJ9i3RJQI4JhRmxyjMiaEVmAiQEqxDeo9z4caf9z9fVj0JAFk+fD2Ac58Aj1XabLgY08+x0vTuWTHjFdKQ33EmmMf7e+ItinFDFeuVdOHmvUBvYct+j1kxBTVc2\\u002fwfJPAVSWT5MQ+VOmOdta26AkFi1n+TGdfbi9v+AiQCvvQJ8FL01sUHa5vPFQLXGibN8HyOcQBVdAPcEwagTYOk4RDCkno20viVEHS8QThTM0zuR\\u002faqNWCahKLP+NB1u\\u002fHLJ0swZOLHZ0\\u002ferHob7z62AWfPqsHEggE\\u002fZkRa72POagA1BMyQGtVpbGmk\\u002fRyHA4qBGlPgj9tL+IdfbUFPRVZBMfD5V03C5141sY\\u002fJnlkpkoBSSHBmKkycH4ETmnbtGCSCiNu6vOoFU0w3eAgP4VUN0HgCjGUJPfjYXfHBYcw+v0qB9Fa3LJImryBGEGv6umOLG+kfN+wA+kTS93uTM8ugZ23LNBP6BssWfx8EDK2TkcUDvoehQJCuIxD4mhn0A9a4unDBxj+Wz5+k6nS22aRNNMssg\\u002f4TTPDjA6N1HgCxIBiWKxD5ek+sca1W2G5b+IQh6ZQg4kGZBrVOKt+KAePD1+\\u002fBTx9LSlpfMa2Ad8ytw+ubalBrS\\u002fgxI9YaNEQLnkai3SdLxmRiWDS+zHnFgCsJuzyFv\\u002f35JrzQGZZLDBUDr5uWmOxpnA1AKuAANAE7A4I7Q6H5hBhE5TC6ch0hPV+vKCxuu7jy+TwaMCbBuOwm8l1nGnHbSzdB4p\\u002fAWBX7uMK9aOMGYOhU2UDHAxJTumt10xsleJXliuNKRdY0SENKuVzVFTKOmKNQ\\u002fVzHuLxwUdv\\u002fpX+n9am1wQziBUlqzrut6RjBfKvlyrf4vtas+aAKYDJ3AQThusKIQu3HgVoRhFhhm3QO2bjBEOR4AWsaopdFCMAPGQUb+OYnJuCqHzioCqvwypkuXFOgFGr0hCq5Gfupesk63bYpQgcRpghGg2AYGEOKlBRJwwoQM+NTv99eFnIg8csnORJXvWEqbEkoxdybUqGkR39bIDClOcas46NEc6TmCnEy\\u002fpYgfsAAjQeet9HEYRf0tHtHB7fNPtl78cVrbZO6YkVvtD\\u002fa9jAwMgEHgHUVVUbe2sZPSqLLTUmuVxxYy3KyqbNrk2QNRIH+NTFdZy3e9HOgYtNIK+cquo2Uv6rxfVLQDYYhGr1SElU\\u002fmEqxPgMhQkbg6XVgLPM1h64lbjZd8dagpBFGzMMhupACiCLAtQmXfKQGW14w8OhTQKfSMCQghvnsZqaTgWSA40ZF2K0Jk1OBzybCHG6TPhtTbAnCv\\u002f9+B\\u002f53U7FcrkupXf2V107BiRNtdAYKZvrBdQHYGQl0RcCxx0aYfUyMuELVM0PbFkk\\u002f4OcjrR5wAeYxZoQZbRxWQc+szuLKpvcoHb+XtLhCnrfxl0ASRcfSRCsP+3ipkHfc3NxQcHG1adGiIGSUBqB5KmtwM2lb9QJ9PxNd+bOft\\u002f1o4fpEoNf3S9VlTTTPXjfXbqoOlxkGPgsQMlKLA74PqQVecEioGAgC\\u002fo3W\\u002fOXCkk2\\u002f71nV\\u002fBFH0o2WLWpL3VoRjayaLsuxF5XG5FkBTjYNPPWkiUARDNm3XHa\\u002f60Qa1Ucy9mmjIuxShAlSo44Ah3oFvvL1hwJZDUutKXDJg7txxzOdkCJxWUQ6YumTJ03AP8yrQXegASK0M7CXCe0hwTaBV54cYkpTjCjeZ161FiYRhfru+gs37x2LEtVDjcOr0ZfD8Fa3nMZQUaF688WZWYyliZYf7mEqg3idq1peZ0leYTrixJKnNSUFKr3UUWm5qmuRBAFByA9FSl9TrTevp4sRAajsiiv3pt+dVtF1LG86xjGD5bYr3+x7GgweVhXdgOvO1mKTZAZixb9XEV\\u002fpXLDpTl7b4nirm29zXPHRONLwSvqAq+kojaCrmDCtUaFQxXjqcRN7uwQME8PnMu9dd9mcLwEoKoGdBNQSo14wqlPzOPOJR1vTc\\u002fpPrSVw3aN7cfXDe5Kgm85KdxnntFTji6dNwp6Q0a4IXQBKIMQhYXK9wvwTI1TXa0QR7ZNmI0DGvibB9CMAwLlHlzYHDrOgP+fPFfNmFx+lv03ykZV94MM9RkX+XAVrmy8UxNcYBlWXiqlg9PprTIB2TJJkEOKQH9NaXfvHjZvvODuN3g\\u002fStlquoiuuanyfZdKNhilmep6OwZAHSEDBqFhL4OtHSOgrrPM3f9cEuLSq8YxY4BbHEfN9Tyud0EcfdHCPKDHla+o1Tj09wIvPmNi42YAiHJB2B3oFOmJgFxP2pr3utcSoFkCBGFbF67nf9+W1DeN85WAaA7UW4dpH92Lpn3eVO9Ky+vwTJzn4whum4QVF6IiTXUep5OGe2xxjzvERpMGIon1z6QywJUFhjM2uiu4aYKlHBcYk4MCtEAeSrig3pCyfXght82pL0j9HCohVb4FKpjWzenTPUxtY0TUFg75Z5mgfJJJfPn4rjLCl5UvC4C8QkwwOMKqebTbpQAh4ntpgQFxV8vk79R9va+dWiKCl5bNS4r8NCbfkj25NfPm60tp4KYAdWyWef85EV5EgDZRZXQ8EWZVeZr4LJOa8Q0AVgILQsFLrQqZ\\u002frxR8YPAHgLJ1E+CaAtc8sgdffmB3H59cM9BYa+GKtzRhUrUJX2lIEFRMqK\\u002fSmHtchEnTFLROTPwBC+MYyq0SMijqm50lbf9ytEXbM4xJ1H2kN5IBWp\\u002f2o3evnHlyaMpVliNe7Ze0ToNlMqtHtw0yhEmIAr0x8PgWl8RyurBXwGnhAG2rQDbVRXWsbJzrSbrVdenNnsfMw5iyOsB6Eypng6RhkcwGQoQ23Vr48MZ2APDuaJwbxOIG26F3hIGGF2PUJr1k5bLZz5kGjGJg6kyF+gaNl14wsGmLgVgB0ugVrBFeZ3J8JA8SA\\u002fA4+WoHQFrAJMBCwjFvURK5NykJ6GUbQKX8cSrAIfcSOi770y7c+tjesnBn\\u002f0+tNtF61kxMq7FQijRIJx18s2bFmDUnguX2avFBg6YEiiLWUiArkBkX009HG+Oq1n0glAMjC6FKa5s\\u002fIhjXWSY1lHrKPiwzQxkS0rSFoUK9OQ71aj+Ibyw3nAzd1SYAMBGUv7r53RC4xXaocThTVvc5VirgUkBarpAq1DvCQN9eORACAEqrms8VMb5uOTSzolrv4KvpkoyCsE2iSO1LIJmZ8obNOPbECNNmKGx4wcSO3SLxw2XvpnAA5wbQa9pnP0cMhAC6GWAkFylAZYqn7KvyODEzHEOiGChc86ftuHtDV9nyyIR8UsHEl89uxDETHHR5GpYAJk9SmH1MjNqJGlpjQFO9\\u002f\\u002f1yLBKezy9GrP8IApYehUIOjHNBz4T82U\\u002fOtVteGV5mGfRvKqN5EhAV9ejS91RnVNK3EsU3FdKGk7taYZy1FGqwVF1FEI6CtS2XCIEvCILwPI5HQiPFSCLpRCC3IKRXUmEQ6NsCT11V97GkdBbI2ldxiSXxGXAyP300auI5kWldsElqDQSRfloITJBCTIk1M2Ff7R7HQM0EjZPrA+zZKdG2UWJPu0SsCYbBByzw2f0onw99hbnSX+8vURkrTo0l8UJ7gKvu24andntlXzz7f3qNiaVnNWJ2nYOirzFtgkbzrAgTpyZjoOL9afFsbYnlw0R8d\\u002f0FR2e0PcO4FfSMY73zlpnzqtxwpbTFmb6f1JIDgCCQ7QoZ+roY+Pp2MF1dtaTtRaCPBh+UNL\\u002fcCruieba06QbTonMCX+soyW2PhGVGgSAKjhBBqFEq6nVgusJZ0vYQAPBdMOhsxD2rZ55iS77FMMTr\\u002fCCtiR+lajpDkmEWSCpf\\u002fzVS+F\\u002fLwGsYNDdSfYW8EhkHHREweXqMCZMV9uyU2LZFYvceiTBO\\u002fHohD8ys74+B3l65MM0Jc6tlEH73YhdufHAH9pbi8mSarFlnZo2FL53RiGPrLRTqIjQ3KUyYokCCoRQN3LwyCDQgoEFa83oGaKynqRxKjLvqH26FyBoEulc0LbRM3GDZYkrJS0bPi7ThJPS1R4K+FQT62pqLNj0B9C1XHc7xe1Y3v1sSljuOmOF5aQHMcNeZ8cSluXCl+Jcq5ksLF21KKuuWw8zSd97qpo8Zkr5mmFTn+Tyi8wxy7t7mm4JAUFLdhim+VCrxJsvEl2ybTvb8IXjR+h8vFQ6Zlr51dgjs2Caxc7eEV6SkRlhyHy15sIJfeW6NhPSi3Y\\u002fxrb\\u002fuwY+eaYdOx+HEFWR2p06pRutbp2B+k0TtlBANDQzIZMMaiYCn0KYkESr9UkDilQ2LNnaMFRXz4cC4EvTeqPqrzNDc9WUh8TlBBD\\u002fSkSAyHIfI85mJ8T0Jda21ZMv92fuGUw9fPj5Awdrm\\u002fxaEVkOS8MPhm9CawQLQjk0SRFCxvjeO+Grngk13AulGMgOSLkbUtXraZAnz2oIj\\u002fjGKGLHCQZvqFdV05PusCbzalvFXglCcJm252pCivuRrfSAjo7LKMyONkEU+sHuHRHuHxJ5dAl6UTjdhAkmGEBUP0Ahz89n5HJNgCMIDW3pw60M78fyeoM9rJBFOne7inFe4+Mhra9E8k6GkgiBK2nFHLuDpuTl2q6Xh9cS3FpZs\\u002fhhzqyBadlT658A4Md0ro96lm2Y0Rc7O5ZYl3+l7OmJmUXClGYcMP+AfG0SXWYtT6qiKGvf9Hj8lmCze0jgzdMUttkXvCQJmPxxeAUyWtnNMksKA9H3+q0l8hXyper2x7MmQGYQVrzJw0UMxEaKeVU1vsyRdb9p0nO9xNgTioKrpQL0WRODrX0rwl6zFmx8orm6+tFBFn49CoBQdmJADvQITpz2CwgRmzIoxXSkEPqGnh7Bnu4GuEsErEQKfEGoCEYNEb8975bGGuB5YkvDcngDffWwv7t7YCQCokQZmTpA4qdHC61pcnH2KidnTDNTVEpRWCCJAKEoYcPtH8oaJJC5IMvS1Zpa\\u002fAgCsXzaulN5oY8wvrjKn7q9qPscwcJM0qaUU6KhgC1PFgGb9syCmr9dc0PZbAJVTVfa7A\\u002fc11We+0zbkzYYlZqVR9f3WqmfFLpZBUpqEMNAvxqyvLlRjLS3c7AFp0G9BufCG\\u002fLXN\\u002fyUF\\u002fsuQZHnhkO2x+78\\u002flUyzAohjvlfFuNJZ0vbTzhtmTLSrje\\u002fYrnirV0zCFwdLPjnA+ZMGe4F0BlsS+St1CZRKAkFEKHYIFHsIQQiESkDplMFmgE8nE04SwKPbiri3rQumwXjlLAvzWyRm1Jo4bpqBiVPS2H1Cj40opYI6mN6C8jWlLalexJsKZnACnbejyL3l8kclxlSjl03pdZCl7uYvskAriIRWQMESZhDyPWC+2lm86ScA+jec7PdDuSsbzgAYpTXNXxRAqySi8lSXodaW\\u002fKNMSdKwScYhb\\u002fF8dXNA4uaGxZs7svXjXGgshaaF0N7q5jlS4mbTEm8PAo0wZr0\\u002fuqpBz58RUSYTZ2Qc8uNa8XV\\u002f2NB229nLEBfXtrzWEnybYYnj\\u002fFLCfSdGYePOWE0FIBgVPrkGYgayUzg1jEJdMiBBN1LS+87Jl4oJYUCIA4KqYBAgAUiDIQ3AKjBO1cDHZD2qLQEykfaRMsKIUSwlH29mJYwaJ1d6OWQQKNa\\u002fpPN2FI\\u002fWIplKjE2baoWp3rO8eXpYxI2uQ+8HkoGCkeL7EenL7ZrNd2Y+dfb6ER4\\u002f3p2Y6je6tnif72v2o6HnmmcCJgRkEtXnvXGgVkWBeVPh4o1tQIWAr0fGAcal1S0fEqSvMW05rVTSipIc\\u002fAGXy0oJadlC+iW9nRRfY4t4DX106x4A8FY1nS8FX28IqklLf0eN8MIySEoD5AesgL73qVKbsgJilf6CetNZghJhtl0u\\u002f773TeUNNPHPSYAZ8LWG9hnMiTkiCMMaD32gIE6KLwSLH\\u002fJR2JI6EA77BTIn1RIEcGl145mWIZbLKnkcPI1Y8QNa6a\\u002fbSzZ\\u002fF+kzsW4d5MKRdLRVRE6925reZpC41TBp9v5opNL3KiGQDoRQEYNWk+Cr3PM3vQCgdyAEwBkJxe7r5tYWqsMrXIsuVgc5hUUnxTbCTkgwupXiW1jRtdUXt20DgAeXw1xgNV\\u002fiGPTZSDEihQP2xwc8rysQemqL1vg2E\\u002f7JkmJ6qHjQKa8Zsk0CBEIF2epAkXna55vDi7QlVQQhv+Aa8Wvoo1v35Bp9lFFRoIKeVY3\\u002fYRryClkgeJ3qccvA9TuD6FsZAV+ZG26kbasEdVfrmcZrml\\u002f6rGReJgTk\\u002ftpKOZ166rpCRoEOfV\\u002f\\u002fUMTqMvuirY+U15IOhOBWCF4KECEu3tZ4uoHwJssWp\\u002fme1qmpO2Ihz85fcIWIIh0Evv5uGNPltRe2PZW9pmv13MmOjG4xbXwg8Lg8NXak5+p33qRd1hUijrQf+eoblgz\\u002fy1OuK0j9a6zTcrZBhDJL8xkS0jQTbrswYsQ6Id8cDX961JG2pCLU99BHt+65a5gUZUc6DougM0BoTds+VzZOcC2xyqqVfxd0qI1xJ1\\u002ft2tbt9JHnu4Be5tYRCXjFcIbdtzTOLFgbbnEL4j2Bx4jjwaPqnE09dUiqGFCx\\u002fjkYX3UXt\\u002f0hPW6fHvnyzr8MCG9r+pgQdLkUVOMlU1hGnBvPIvmuQ1IrQEX6F3FEl5RprH4+16Z3PR90LG98tUnh7aYtTigTXozwXH3OW0k8CUCF+pelUC2ru2jLnwAgWjP7rYYr7aHGOZfTfAUhA197JV9fLSS2EuhGy4AI49GxNkYbBMg40MSMHwPArgVHbwCuEodc0Mum9DLEpTVNbzIMuoOIaoN29Tmvk5Y3\\u002fL99OspGtLtWtpV6q5vfIg3cbFpinu\\u002fpmAdpK00FvNyj7gf6PiK+ylm0+UfpmhMBr+iRX3cuJC2DKq6Y2WhY8jrTpPeHESOIeMTNKOW2VYskCUIQ6D+BcJWzqO1\\u002fgKSaDndD07ueD4LVTQtJ0q2mIRqyDWUk5xrg3Mo0IA1LyDjQj2vGZfaitm8BwOPrYC04F5F\\u002fm2o2BpHR3jSfEGGk4Zf0t2NTf61m0ebHAaC0smmv4YrVFlCVBiPHjbAzyi2pWwtW+FsA+OAHj86S1\\u002f44pIKeCTkD5K1p+pwl6WNE+KYf6BurKiedjoA6qs\\u002fxe2uTyV\\u002fb\\u002fB9S4BIpyEqj6sYAvcflXDgZgOfz49C47MXamvUnLnwyLAfxKtZS2fTSs3rGuyWJGyxbzCqVtKYRms99Al4WpOfxiyT48u1Ed8xetNEHkEx8OfuhCAD8NU2fF4b4CmsILzg4Ic9KdZNafN2utL7W93BD\\u002fcfb2rN7iScQ00JwcRXm9tdzZesjpZ8OQvU7LfjLhSWb76l4P9GFm75XXNlUMkz6jm1SVTiKHPcHDYaWtpBC6R+\\u002fXKLtGQ6poBOBS6tmtXgi\\u002fixAUjKfTR+pCGwN0XCyP9zVCoMWIi6uappBRDfbtnhv4GtEakAaqb4trL5+XsX66zs2yjWzl6UCVtElV35fKwwixNwKo7imeakp8AVDDi891x867bCzbCFDT2+Pfb7Ojcxb6OIXO7Pz4wkQXfxQ1LGycYItxS22Qwt9n5OutINgtSEGuy7JMGCUSvo2ScalzqIXyzz1Wetulr4UAnOy0SJpoDy5dwZBxfoRFfNlzuJN30vvUZ+iJW6FQRdu+klp9axzhNDrHYsme+E40exJSypD8y\\u002fT3xyVLakD4ZCESzKqp+7u5uOk5jcB9GDVhWmTxzDq0Yc8dsVwhu5VzW+2DdxiWmLeQFH1rKvLTFpYEQd6s2K61ff45j6arF\\u002f5bGsrxNL0HF1rW453iG8wLfEW39dl\\u002fvcR3AtFvQMhuhh8exzqK6ou2rK58vwZNVbXLc3z7QJusyzx6qxVdqhMwRDnTdwDkyRJQhCou7SWSwsXvHTvYNedWWDemuYHHZNO9SKODQHTdARCT7cR0bXtPaWVUz+xq2eolGe2eXStbH6DbeKHpqTJIykzPhQot6QGekNsqFfXvUyi7RkOWVyU17Y4vuYZbtZRdi4k1g2Pn33QY54LSeuTBytc2\\u002fyfJPBlQ5Ldv\\u002fosiwanuXB4JdVJRDd5YbR8wsXb2oC0mi1NlfU5R8WHH6xp+qg06EppiMkH0vRCABxHiMBnloLv0Ep93V6y5VGgN6sABrIqP39V4\\u002fsMU9wiTTHN8\\u002fSIWmX7X7shSZo2IQz004pxqVvV9u1Krd3\\u002fAc+EvO3qRndyAz3lmKIFkuD7qhtMNzpS30Tnb96SrX2\\u002fZcdpNLtn9axTLFP\\u002fyBQ0ywvGUNgZynFIBD7f7ixpW3Q0t6QOhENmulPicyZCngiPOphtpTyc4caWaWZB32ja9IEgYERJVL1XyHtz4TIIdBCU9O0iVlc7F219NjvOYEG\\u002fMqvst5obrBBXWSYtjhVQ8vSQRTZ9jpH4snBtEsyAF+jfmJq+Zi5uu6vf+VUF\\u002fx2XVjV9QRjiqwRkLLMjF\\u002fLMeigIqULeG\\u002frqBksVrqYLnukG+m5i\\u002fbF0aWKpT5liNOtIz4w0axXwN4nocmdJ25P9176\\u002ftdAyxMn9fOnRrtXN5yjBP3IdmucFB1cSfKDIWlIBtS7tfXhZRNszHJZg3MGYR5U+YPeq5jdL4lssV86rMGsTM5qhmEDJQAYdRKH+EYEusxdvfASocBkGMjUrB0CsmP0mM1A3Oq442StpzcMMuPUJ9ElCEKqHtcZlhSWb1pXPsRTIhCTL+fPVjW40ia43LXlB4Gsd65Hn4itaZmUccxT76nsqUpdkm1vZehnic1i6ALQMAAe6EQK\\u002f8319ae3FfQJtg46lHgwZ\\u002fx4taXvSu6XlbRH4x64tTi75I49xHCS0bZAIIr3RFsYfD4JT44jFeCxpKKPSvPLXNH5GCPFV0yCr0gQs58JtEqyAWONn0Ppya3HaF76fFtY+51jb\\u002fJ9SYJkhyRmumZlWU2o7JYCMff1CyHxlYeOc1bTsnnigBpyMjMJfNeM4CHmHXZCneyWt0qqyYX8mmZmebS5K6XuiGF92F7f9rnzt+xlIWXEwAoF51cQaumBP2QIA9jXzR4rsHpfWzGgiMv7HsenVfjqr7mCOO+zzpy2pQY9e7ixp++cKS+plg3HRpjoQygGd1dMmO9K6wTTpg0HIKAVJVL1sIlskQEDJ13+UhK\\u002fZizf9NC1RHbKFlRmEhWnr6m2NM20SN0pTvC8hahymkGduQsIPtz329fJtMV\\u002fffOHmvcCmRNAImjLW4kzoz0bcs7LxHcIQq02TZng9aepsuEQRaSRcJnPapFdSL8mYvvrcxuo7Tlz2ZDjc9t0+SDfCspCPojBkjUu0cOsmvn3GO4NQrnNc+TdDFeSMFrKW1MjXWoHSltTxreAOBcadoKdZHSKC6lrVeIYtaJVpi3mepzVSkhNmqF4TWf9VK1xR2LTpO7QsCYCt20+gpaLIRvlrZr3XIH2t7G1dFft7+HQS6EM6lC8K\\u002fXiVF9LV9RcnqcOBqvsqOezDtc3\\u002fShKXS5DjBxyTGBF1lUZSkWZ4JV30S\\u002fp6LcT1hUUbtwPDC5QNefy0XXO0NV6FsO\\u002fZu3zO+1lH33GrxDt9jyMk5LCHSvjYMUj4EW8p1JR+AwBY+PLS5sA4M937mupN\\u002f06CLrWSqLpCmvPMONLjSD\\u002fLGjds4bZVsxchyYVnAxmGMFWzc+y4cXJ1dZW9zCLx71IQvGj\\u002f3O1lIXMExTEjVvr7UtBl1vkVqcMh+OK3LJ9eaJDG9a4rlgTh0FNe+yPliGfXFiKKNZTGOiH4y\\u002fb5FTRawzXTxxDlAZvrGl2\\u002fR9zmuGLhodTsXJ6SqlYXFm+64OWUUqvEuNHoZVP9qumTnEnWtaaJD4chwws5BkBSgixbSN\\u002fTO2JPXx8Z5qqa81\\u002fcmb0XC6GH0kLcCoEFoHSs8itM6JstR7zO95gjNTR3+z5VYYG+NwJ\\u002fpWbxpt+Uj42BTeXsuvaumtVSkLzGduhvPK\\u002fsj+8\\u002fyJfWAiTMNkRBoP8YK15afcGmX5ev\\u002fQArC8cC6fhpQQs3e4+3zv\\u002fInJbuolslFwUlHeukZHl0lU8WRFFH55TU4WLMBT011UEEFd7R\\u002fHoBXiVNOsH3tGJmloIMyxEIPN1VKqnlkM51Vec\\u002fV5nP3W+HG6d16gDgrW5cIgWuNA3Z4Hk6BmAM9nBlwa6U\\u002fAEq0o8oNUBV2AAaIm3koSTO0HhmwdCrpCXmep5O0kvDeNyYoaRM6KxjX20IA1zhVG1a6VTmw4\\u002fAXDAtg25thUjjCRcEs5o825Uf95IOwFFremOGtpIpqS9qHf2ZcPRNSR0uxnR3qzTVi6ub\\u002fs2QuMySwi6FOiQiy3UFVKh7Ysa3OdJXuhdufj5737DIICuqtzpvmDGxUGtcaUhaFCkgHiLgllWVpUMhEHjqJSHE9VlVWP+17\\u002fP+VgixDJoBFFe1fFxKvtYyyPTC4Y12qmibpTjS3Vrz8kBHV9Qu2b5rf+c+klCxyXNxTdPlBUf+Z+Ans+dGQ7MzELsFIQNPr3UWtS3JYicHv\\u002fIjD2POMNO1fPoky7SutW182A+YS4rjgistz9ccBXpdFOHKPuWzwzRTK7jiVPfKprdaEtcbtjjeK6VBvYEFjpmhBSWRdM\\u002fT3aqkb3SEuJ7O7xvsGlTI078\\u002feBHMBa9tusqx8K9hTPAHGOW878l720e1AuJAr9OKLrMvSGbHH0gL73gGEZgZlNRbbPpsaXVz0XVomR+y5qSe4KCEPWtJBYmXVUvqQDjsgl5pqhdXtLzWsnilYeFE3+fIschkhhH46pcEutI6vyIfPIKCjaz8ct2TkKW1zV+QQKtlkCwV00KNAR4fnfCkJ+QToQ48T98eKn1l\\u002fb5WxKBrqGy0MQxabdniHYFX1lCD+uPlxhGTDGGQDAP9ADN\\u002f1Vm86cf9zn3UaaMKYRdEbV8urWr2bJuuiCJm3W+G3EiQtaRGClu7qou\\u002fA14+LakD4bAK+roKhhlvbfMnDcFfJaIaFQGORaYf6j8S06XOkk0\\u002fBZJNYf36EXDF9c5Njztubp5TKPD1piXOCQPNg5nNWT6+4JCII3AY6B95of5a\\u002fcWbH0iPWW5THc55S2uaXy+A2y1LzE2jyYOaoX1q8h1hBJ7eqiJcWYijFXTxttJIr\\u002f9IBWV08esgaWHbld2rm0uOQTeSZsQMLfZDZTUg0pbUuKh\\u002fMnXhrp6Xa7Q9w2ETdE61XWKqm1fbJp0HACBAKX7Yi3B1YfGmbwEVgaw01z3M45dz46W1zecaAteYlmwcLDfel0aZEEd8n9K41Fnc9nOgjxYd8uGo4KhTwW1N5wnC9YakupI3dJlnusGQ6woZ+Mr3Sno5S31lVWXjSLK5HNVCnoEARjnX3nZTaXVTt2HQSovJCmNmIUao2dOWVEX8i\\u002fQ3L5uW1IFw6Blmen3luLh65mtMQ95quuIViBhhqJ8jSde1d3m3Vwa5sBB6JLtvL2305OqwWPiaIfEJBjBQfrYv+QNJr6SekhKXbd0g1s1ettHvX5O+3\\u002fNSMlnGFzsvNaX4TKxQrt4b6D06OT8XLBKagTDQP1aCLqnaNxf\\u002fshDw\\u002fqCFUEmJ8KY7ulc2BY5Jay2T3GgEpJvlllRfv6RUfF\\u002f665etkAOHOOpeaS4VVzZdbNl0jVElC36n2sqgm+IoXJGNNj6QiGhrK8TSpQnlU3FN46sFiZsdV5w20DCD\\u002fu2bga+2aUVfd+HeWu7uGkE0O1vvzmuap9c18ArLke8ulTQnZX373tfs\\u002fKZB0jAJUagfibRYWrX4pf5++Ms2YFSJcrfi6uZ3Wwa+aRDV+cNlq0lbUn2f73CXtJ1\\u002ftGQpDgaHrh8907KrjqvxqXSr02D8Y9gZd8cKtwC4bgAqqRE94FzB3umtbv4XIXCZZVF1yefEL64cC5bVpNsp+QPj5lDJa2su3LCjvIYRVJVlffHB2pZXCMF3GJY4yfd0zMlk332FvIJGWgW8Ldb68rZu+9ZjP\\u002fV8MFqNI0cjsuaf7lUzz3YM+V0pacpwUpSawQWbKAhxjr144y\\u002fSLMvL+v6OuqBXPrjh6lmvYaG+YxpidqT4Vt9T12Tzwg9YwHsDX2rH2pZpDcRfNw36hygGYtV3x8+IDF1HiDjSAWt81w+jy2ov3vb0gayhz6TX1Y0fsiXdYhqirhQMEehDcv4oZI+Z15Z8urLhYxtfys7\\u002fctc0+0O2oRdXzHytYcvvW1LMLPlaDUHIqU1JIoh5U+TglPoPt7UfzVNSh4vRnXNTYaqX1jR\\u002fBsCltsTPYtCX7Y9ufBg4OBO18vjR7c1vAeEmwxLHesW+lEtpWka7FknWgNb4qZb6Cusjw2tdHfDcFd1c3pqmZaYUX2IwBqI15uT8yrHIAAOR4p9HIV1SdVE6HPIIqUsfL8iEvXt540mOLX9gm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EAt8gp15MPHa+nduGexHqbVM5rohs\\u002fUs\\u002fF46EuyGc6amBCczyeKXDkQ8dcoxLXJ9Zhl4+XQvUM0KP4a6grWrMAqn3qyWMalhg1uCG+Flt40u83SkEYwSUQ6vpaNFFLTlBE3\\u002f9gEM9oCkJ4m4Qslvx3oU64NNAaFTCkgSIRiEj+fHK7bd2cX0Quw9XBtrjJIrn7OwTJNfwttQ2PJjZDszwCLtUj6j7XIrkJ4Q47r8mAIPl\\u002fjZ24N74BKasGmZyinqP0XEwKdUEB01ELLildKaueuWYVxsXXYBdPebwLIvkgLYrHw13RhgVQ46rHAJALDUvMGoyLr8FPPOn5jZC25AshSN6kLTlBEX3\\u002fwz0m97HkAvdaJK+E4RkDMwA50DA+uQn\\u002fTm73NT907JpgO9wYbOdLckCQgUjuPue8YHLXU4DlEaRhAsiHhmnGLtyb2IAk5xkt8BFaDE+EuyLfh+QGRKcz16zCDfG12M5TnnsjsvbXovhruCvasCBqYHpJzjQsMapxfXwtNvOk31CESL4YguRNdkzuhiL6\\u002fkWdwhs1ELnrFTDrZcnNDBb4astdr8lgyXOh4e+2JU8fT1+wqMfprruzdwwABdDxurETd8fX2+f9SH6UHsOkcFe0QsCXnHnQMM+ownWJtdjhS3LxORqTt85A8jxoWGJW4zqb5B72NhvhzQ9NLkzQTEDuep3CmwngnlAnXBpogwqYHqspLDnDIxbJidBOkjPAInk73JSB5IAgw98ld92PnPUhuVDp74tvyEByJiy5HsOkUFcUQEetDznzLUs+ziY587HkwACb5AHfenKhYbFZjWvia7DZctczkHwBgOEQJNfRTEgOKIu+v9Bg4S3zmFzDI5a7Tk+mk1Ru4a3GclYb6q77CW8GZEtB7vrrqV24N7kBqSzuulN483PX86FhjlGFGxKZ3HWv8FbroxHkMQ2LJXfdw95mJ7z5QVn0fQvKeDMghLdHkX6gXMIbrwfJmT0mJ+vm7DEE8dPuerUPyclddwpv8NQjLOC5gSLcF+oEw7oBD6mgY5qxC79LbIDhS3Jmueu5eCwDyVNWPXPMaoyzSe625Gnh7S8WyWt8SJ4LDYuNGoyzSJ7BkgcghLdfQJC8WVlygrLo+xZKeFPC236BIvq+gxLe9BgeC3dFwT4Q3habWd31Zi28+UG57nsfSnhDWnjL38vCG5H82uzuerMW3vygLPreR4sX3pxj8rhvUk0jCW\\u002fQsNCsxo0tXHjzg7Loew9KeINXeHPW09jC2wLJkvu66y1CePODsuh7Dy1eeDtSi+FxS3jzs+SNJbzlWSS\\u002fPr4WW7OPyVuE8OYHZdH3DvzG5IBLeGMQs9AuDRSjIgPJw2B42GHJ3VNNyQJfHWyLGzKQnAOISZY8fS59wcwm+f2hTkiBe0hOueuvG7twV3x9VpIfrcfweE5X5Gdxs+cZVbg+I8lhz0J7snFIvggtlOSAInpjQwlvAI50CG\\u002fxvSy8zTerMc4muRLeMkG57o0LJbxZGW95+0B4m29W44bMlrzFCm9+UBa9caCENwBHW8Jb3l4W3ojk11kkV8Jb3VAWvXHQYoW3AASJ96XwVoclb\\u002fHCmx8U0fccLT7j7Whrqmk+Mo+lGyvjbZ5ZjRvia7DNpx60wIy3+kK57rsPJbwBOEbP3WfC2zyzGtfbJFfCW0OgLPruo8ULb0MtkseYto+EtzXY6m\\u002fJlfBWB5RFbziU8AZgqJ6HiaEuiDJtrwtv88xqjLNJ3nKnmu4JlEVvOFqs8EZj+2O1XEwKC0ue2MvC2zwrd32rmmq6R1BEbxhavPB2nJ6HR8MliEGo60p4axpQrnv9oIQ3COHt0VAXxKAj4UPyfSi8mVDCW4OgiF4\\u002faEgLb+Suu0jOwMA86647yalBCG\\u002fjk5tt4Y3LriiY9VBfE2yLm4LtMpLc7a5zV010wW7hzd3xFFjC2z2JDfbWRX6dxVA9F4+FMrvrtvAWX4udtgXmnnoG6MJdr0t4uzG+xuH2S7+Rad3eHADnQKy7TrerkAGK6NnhFN5IXW+xwpufur6PhTf6OUwA4wH8CCAEZcnrhCJ6dmgQz\\u002fItSIfQPO46kN5BpTIDyXOgOdx1Yd2cEO66EN4y7aACyDuoZLbkwl1\\u002f0NpBxXSRiiz5f42dQnizavCz5MdqRPJs7nolbrB3UHFbctFZ9Ld3UAn67qAiSF6FG+JrHG6\\u002f\\u002fBu5fvInAYwEkLAuVyELFNEzgwzRbWihU02P0\\u002fMwKcffkjf2VFNB8nUO4S19RYxJmjH97O0ATANwOdLCnEIGKKJ74RbeJqBFCm95eDRUghi0fSC8ic5im89UU8YYOOfQNOlRJfddA\\u002fAPANdAkT0rFNG9UMKbnofHHO763hPedMwzq3Cj5BGk69E0zSa5aZpuy07VMQBPA7gJiuwZoYgug4S3ayHG5KTkthjh7Tg9DxNDJftEeJtrVllTTX3q0XWYpomSkhJ8+OGHuOyyy8A5RyAQcBKeOap8DMA4pDPlFBxQP0gaNONyDIC\\u002fIu0a7pbwNj65qV7CW7aMt4YIb86MNz\\u002fhbZpDeMtoybV0Wmt24W1tFuGNu4Q3f3d9rmXJ\\u002fYQ3XddhGAa6du2KN998EwMHDsTxxx+PgoICPPHEE7ald\\u002fycJA88CaAWwD+Rjqt7FL2WCGXRBXQIkp8FMeYjzrU44S26D4S3uVmENyJ5586d8d\\u002f\\u002f\\u002fhcDBw5EMpmEpml4\\u002fPHH8cADD8A0Tei67mfZOYC\\u002fAzgfyo2XoFJg09ZgCID3ARQibc2lJ8g5Jnemu9KHw5bw9m9LeJOUY6QVJCG81S93XQhv3Jec9RHeXjd24b54pjG5lbuu52FSqCTjmDwPGuZYgtlOPwts1TNAqzsZZq5VT30tuWEY0HUdnHN7vP7II4\\u002fgjjvusC27w7pTU1QB+DmAzxw\\u002fV4tGSyc6kfwgAB8B6AYXyZn1MN4V6ojLA20yj8mZhocTm\\u002fCfRphq+lxyGyYmG2eq6T2JDTAyuus0Jk+7617hTce3RiWuTziFN289dU01zYeOby233zcH3iJ5p06dMHPmTAwaNMgmuf1bc25b8wkTJuC3v\\u002f2tXc51+xpExtwpAFY6frYWi5bsutOzHwPwMgTJbc6kLTDHzcH2uKwu4c0m+Z4LbxOTeya85TuENzOjJbcmqIRKfN31lFXPHFNMUNm5R8Kbjq\\u002fNSpcld9RjkbWkpCQjyQERatN1HalUCrfffjsefPBBGIaBQECSmigI0RnAZAD5jqZqsWipRCcBh0MIb0fCMaaT3ey2uDrYFlWuOLlz0YjxjZDxVr8QGse59ch4e70eGW\\u002fH1SPj7ZtGyHjLh4avzUrclCkU53DXZ8yYgUGDBiGVSnksuROkyN933324\\u002ffbbPZ9Hug86AsBTSEc8WyzZW+qN04NwA4AnIAyYDuv3oJNnBwrx51CJb3w7HUJrmlNNJ4a7IAot61TTcXW46\\u002fWZavqNpa771uMQ3qZPn47Bgwd7LLlpmvZY3BlHd47Zx4wZg\\u002f\\u002f85z9+bjytPEPZjS12vN4SiU6NfSzEuDxkHWdAeix9rJ6Lp8IH2WR1kzwHDA87Mt72RHh7LrUVExNbsgpv51ohtIwkZxpeS+3E\\u002ffGNGSw5s5NhJoVKEM0ivH1rOpNhdk94y4eGr8wqhyWvv\\u002fBGIHKnUikEAgGb9M7zAFBVVYXhw4dj9uzZdnKN42c2IfLhTwfwKVoo2Vua606edD5EGCYMx\\u002fiN3MoeWg4eCZUgCIaUi+QAEIWGicktliXfs4y355LbMDGxJYu7nl4Zpq6Mt3vjG5HI5q7reXgsnC3jTW+UjLd86PjarMLNdbjrnTp1whtvvOFLcsMwwBjD5s2bccopp2Dq1KnQNE2y2JQem5ubi8mTJ6N79+7uzoD63AhEe7cCPP1ki0BLIzrd76MADoVLfAMY8piOP4Y6ozULeh5iDiDGNPw1+RP+kdy2R8Ibxcn3VHjLs0Jov4vXT3iLINsab40jvH1VD+GtS5cuGYU3UtY3btyIESNGYPbs2bjyyisxa9YsW4yzG9Qif0lJCSZPnoxIJCJ+w7SbTzMQe0PMW6DxeotCS7phe+gN4EqIxpe6fhMctwXb4wg9ikqfMWcB0zE5uQNPJn\\u002fyWCmqo75TTf\\u002fegIy3zMKbjv8au3BvPLvwNlTPw6RwZuGtwMp4u74RhbfSLJa8S5cuWYU3TdOwYcMGnHHGGZg3bx6CwSCqq6tx8cUX46uvvkIgEJAsO9V7zDHHYOLEibZVd5CdIp5XQiRFtbhkmpbiwtB9tgLwDYCecMTLafx4TqAID4U6oxKmjzuq4T2zDDfVrrNFNz\\u002fh7apg24yz0DiAXKbhucRWTEpuqZfwZvq46yS8vZbaiXsyhtDE507Q8\\u002fBouAtykDmt9RtrSeY9Fd6+NitxY3ydo7Nw1FMP4Y3G5N9\\u002f\\u002fz1+9atfYe7cuXY5Zyfx0UcfoUePHpKb7oyxZxDnyGX\\u002fAcDRAHY6jjd7tBSLTpy6H4LkthdMVqe7FsZtofaohXd11Cg0LDZrcE98A1IuklMdBjiuDLTBzXVMNf1bkkieearpuVlmodnCm7ED99UnTh4W7noyowWuciTDZJ5q+kSWqab50PClRHJ\\u002fd71r166YOXOmL8mBtLg2ceJEzJ07F+Fw2CYqfX7dunW48MILUVpaKtrHEt4YY7Y6P2nSJPTs2ROGYTjH69T39ABwH1oIwQktgeikaR0DMW\\u002fZk94ahoa7gh1RzAL2pA9AkCcIhjKewj2JDSjjhk3QdOWCDJcGW+OWUIc6pppubTTh7XeWup5pgsrxVggtgizquiFUcX93XRbe2mRR1780K3GLZMn9hTfKXfcjOZAW1+666y4ce+yxiMfjHoEuEAjg22+\\u002fxfXXX++eow7GGEzTRHFxMZ566il7pptrvG5CzE4cCsez0NzRIm4S4j7\\u002fCFcojUJgFwSLcGIgDxXc8AzcAgD+mNiEFWaNLbQR6P3IQCHuDHZAPJPwxjQ8m9qKR60QGp2ja6i38MY0vJYSY3L\\u002ftFZmu+vOOLmf8PaNWYVr61iSuS7hLR86vrCEN1+PoB6W3JkMQ0QvKSnBq6++in79+rmtsj2mnzx5Mh5\\u002f\\u002fHFomiaJc\\u002fSdp512Gq655hp3efrJdAB\\u002fQnqc3uyHsM39BumZvQjAi3Blv3EAXVkYU3K6I5fpkgWlcfDzqW34Y2KTJyGGyHGknotnw12hg0nqnn\\u002fGG9ly7wWmk2Eyba6gY5qx0x4+ZJ2FFu6CCLKs1ipNLNm9zRXIkt9Ux5ichLcBAwbY8XACjcndyTDUGaxYsQInnXQStmzZIsXHyU0Ph8N47733MHToUKkDoc+VlpZiyJAhWLNmjTu+Tpb8EojnotnH1puzRScu5AH4HVz5zhQKuzHUHm20kOSyi3E5wxJejb8kf7IVeTfJu7MwHgl1RgiaLOEjbcmfS211TDV1k1yeamoi81TT11I7cVcdJP+ZZclzfCy5U3i7LiPJ6zfVNE3ytXUKb2+88QYGDBjgyUl3rhhDLrezfCqVwiGHHIKpU6ciJyfH\\u002fhyQ9gKqq6tx1VVXobKyUpqjTv8vKirC+PHjkQGk2eSiBcTWmzPR6fkbA+AQOOKndOJnej5+oedbLnvapdYBJMDxUHwTyrkhEUuKt4c7o70WyrhM0r+T2x0Zb3tXeDtez8OEcAmi+0B4+8IW3oys7vpbb72VNa11\\u002ffr1GDZsGD7++GNPMgyF0E488URMmjTJkxVHLvnSpUtx9913254BkZ3y4c8\\u002f\\u002f3wMHz7cXZ4egYMB\\u002fNrR7M0WzbUXI5U9H8B8iGmoHIBmC3CM4flwD\\u002fTXoqhxhNMMcBSwAP6Z3IaHE5s8Ph09IfeHOuGSYDHKHJ0EkHb5X07twL2JDR5RzllHfaaavmZkG5OnLfmELO56njXVtK4QWt1TTQXJb96DEBq937RpE0aOHIm5c+eiY8eOeOutt3yTZ+j9FVdcgX\\u002f9619uF9x+\\u002f+GHH+Lkk0+WytP\\u002f582bh6FDhyKRSDg7A2e4bQiAcp+majZorhadOHElXHPMybqepRdikB5DNdJTTzmACDSsMmrxbGKrLdYRSDQbEWiFCwPFKOemi+Qc+UzDR0YZHkxstPMv3Ra4MTPejneQPPMab86Mt90V3gTJ08tIZc54mzFjRkbhjTLehg8fjrlz5yIUCmHTpk04++yz8eOPP9qW2G5Iy1L\\u002f5S9\\u002fwYABA+xYuRu33norqqqq7M87r+mwww7D6NGj\\u002faw6hwi3kVVvrnxotjdmQMwzH2e9d6jsHHnQMTrYBklu2iq4AIfGGP6a\\u002fAmlSIE5QmkUK+\\u002fMQrgt2EEa0wPpePsysxZ3OaaI+o2B68540+yMtxSy565PqiMZhjZXKM0ovNUv440seTk3MobQSF3PNtV01apVGDFiBBYsWABd15FIJKDrOtasWYNLLrkEZWVl0udpvB2LxfD0008jJydHEu+IvAsWLMCTTz7psfhE\\u002fDvvvBOtWrVyryZLI6prABSgGY\\u002fVmyPR6em6CD4rxnAAZwUK0ZOFpeQYE0AMOj5LVeJdo9TuFKicqJjh9lAHdNSCiHvi7UAlDPwuvh47eQru9eKIVGcFCnF\\u002fqKM1Cy3DGm+pXfUS3iaFuyBsjcl91fVGEt6+MCpxU23d7vobb7yB\\u002fv37+y0GYRNswoQJWLBgAUKhkJQMEwgE8MUXX+CWW27xdc9TqRSGDh2K2267zXcWG2MM48ePx\\u002fr16+2lp6isaZro1q0bxowZ414jnlJjewIYhWZs1ZvbTZG3HQMwFo4MUyJMKxbA+cEipFzk0ADUguOZ5E+ebp1mo\\u002f0iUIDT9AJUcJkQHEAIGh5ObMZiK97uXICC3v9cL7At+Z4Jb\\u002fm2u+5HcpoHXh\\u002fhLdvmCvnQ8LlRgZsS61CKuuPkmVaGAWCT6w9\\u002f+AOOPfZY25ITyAP417\\u002f+haefftozt5xc+jvuuMPuTJzpr5qmYdeuXfjTn\\u002f4EAB6rDgDXXXcd8vPz7ZlxdNr6uw7p5b6bHZob0el+jgdwOBxqKrnhp+n5OETLQTXSK8YY4MhlGt5LlWKeWSVlv5FlL2IBXBdsZ4tisMsKK\\u002fymsQvTUrvsMbjzggwAR+ox\\u002fDFcAs0Vbwf8p5pmynj7mZ6PSVZa696damq564n1WSeokCXPlvEGpF3odu3a4aWXXkKvXr08yTBE2Lvvvtt27Z2xc5qSOmHCBASDQSnrjaz8Cy+8gIULF0peAf2\\u002fZ8+euOiii+xjjibiEKvRnOT4mZoVmhvRyYJf7ngPQDykATCcGyhCknMpQy0Ahgpu4sXUDrtYemwuPjcm2Bo9tBzUOjoIDrEAxY+81ncmGrkXB2lhPBzqgggYEj4TZvKYjtfqIbz9zAqh5fiQnNZ4+8asdKwMs3tTTfOh43NDCG+luznVlFxnt2WlKaVTpkxBUVGRZ7zNGENZWRmuvfZaxONxqS5n1ttZZ53lseqAiK1PmjTJvauLrbaPHTsWoVDIPVantTxHo5miORGdho\\u002fdIFYToWM2WYfqueirRaSxOSnt\\u002fzMqsMCslpT29ISXHJyvF6HaihvDUVYH8FjyJ2zjKaks+YO50PCnUGd00oKohqzSkyWfltqJ++pY4+2EOkJoBRBrvGWcItoA4e1zswK3JOonvA0cONBXeCMSucfbVH7IkCF49tlnbStOn6cO48svv8TEiRPdmzXYVvyBBx5ANBqV6qbvfeWVVzxWncbtAwYMwLBhw+wIgKu5fgGgK7yBkCaP5nQzxKDzIRRUxzBYEGNUoBAhpkkPLgOQZBxTUtut1nZZAgBjAsVozQJIOr7EdveNcrydKoV7sguR\\u002fsZQexyp5aKCmwi44u150DHDKMXd8Q1ZN1c4Sc+3Jqhk3lzhm3purlBXWutnRiVurM2e8VZSUpJReKPx7\\u002fr16\\u002fHzn\\u002f\\u002fcNxmGMt9++ctf4re\\u002f\\u002fa2vN6BpGsaPH48VK1Z43HDDMHDooYdi7NixEmGpXG1tLZ555hm4QZ+94oor7Gu1QCOsYgBnOpqw2aC5EJ1BNFQI6YYCkDbzJVoIR2u5qHFYZdMi6zdGFRYZ1QDSTjuV66nl4OeBAlQ7XG7h7muo4AaeSv5kH3W6+yaAU\\u002fV8XBwUu7o4SZWy4u2fGRW4J4O7HnDEyR9xuOt+5JxjCW++8W1XxlubbMKbWYmbE2tRjuwZb7RoRKaVYdavX4+RI0fi3XffxUUXXYQlS5Z44uP0\\u002fv7778cxxxyDVCplu+HkVpeXl+Ouu+6yyzgtO+cc1157LQoLCyU3nP7\\u002f0ksvYf369Z5OAgB+\\u002fvOfo1u3bm4FnprgQrodNCM0J6IDIqXxaPikNJ6o56ONFpTi3wwMBgdmpHZZ7jBz2XrgomARiljQlQvPEWMMr6Z2YqVZK1k+Eu9aswB+G+oIk8sEFmU1rDBrcUdiHWqsMb\\u002fbkqfAcaKeb4fQMmW8fWMJb3s61fQzoxI3x9daU3EbLryRGLZp0yaMGjXKDqFt2bIF559\\u002fPrZu3eqZmAIA0WgUTz\\u002f9NGKxmG98fMaMGXjvvfc8brhpmjj44INx0UUXSYSlOsrKyvD888\\u002fbx+g7DcNAJBLBBRdcAABuojMAgwD0QzMLtTWXGyEOngvxfDtEOHHyDL2VlCBDc8038AQ+SJVbn03HzU1wdGBBnK63QrUrFz4Mhk08iReTOzz+Hb2\\u002fJtgO3Vx58E7h73fxDfbeY37C24l6vi28uUNo6ammlY79yXd\\u002fqumnRiVuTKxBaR2569mEN8YYVq5ciREjRmD+\\u002fPlSMszy5ctx2WWX2a6yM8adSqUwaNAg3HLLLb6ENQwDf\\u002fjDHzyxc+oQrr\\u002f+euTk5EjeAp2fOnWqZ8ILYdSoUYhEIs5QG3mFUQDDrY81F340mxshC\\u002f4Lx3ub1P20KLprYVvsAgSRo0zDB0aZtQOLMwtOlBsVKERrFkR6trOltDMNM5K7sIEnJAGOQmtD9BjOCxSi0ifeHmE6HktswUKz2s7WgKO82AstFxOyWHJa4+2m+FqU7WHG26dmOW5NrEUFNzNa8i5dumD69Om+whuQdpcnTZqE+fPne5JhdF3H22+\\u002fjQcffNBXnOOc47bbbkPv3r0lJZ1I+Nlnn2HmzJk28YG0yNerVy+MGjXK3lLZeT3fffcdPv30U6kceQODBw9G37593e47YRjSu+s2i7F6cyA6Pee9IGapAY6UVwA4Rs9FoWP1GNErMJRzAx8a5XB+lqx5LjScrhfA4LKl0AFs5ym8ZIXi3G65BuDqQBvkQJMyL0gPeDtVipdTOzyWk1Js+2sRPGKF4jJlvDXWVNNPjQrcXLvOsuTZhTe\\u002fqab2tVsW85577sHgwYM9yTBkjf\\u002f85z9j9uzZUjIMTVHNz8\\u002fHfffd5wmLUT2PPfaYvasqWWey+qNHj7ZFOufUV8Mw8Nprr0n1ULlQKITTTz\\u002fdfu9oBkCsRtTJ+r8i+gECuocjIRZ\\u002fNGDNUjPAEQTDMXouUpzbijqF1FabcSw2qm1yi8qEZT9Cz0VvPeKZ2ZbLdLxvlGMDT3q8AA6hkA\\u002fV81DlIJcYJmjYZibxaHKzHURz5tGbAEpYCI+Gu6JI01HrE29vzKmmnxgVuDmxrk7hbXdWhunWrZtvjNswDNxwww2orq6WJp+QdT7vvPNw7LHHShNXqJ7PPvsMX375JQB4QmannHIKevfu7RnjA8D06dNRWloqdSD0\\u002f7POOst9L+SgRSGWmqJjTR7NgehkOE\\u002f0O9leC6K\\u002fFrFFLwJjwLdGpRWuShOWCD8sUICgK2QmxtcGZiR3iTqoLgjahsBwcbAYOmNwLjFhAoiA4e+pbVhvJjziHSDG\\u002fQ+GOqO7FkKVZ1ZcWni7sRGEt9lGBW6rI07uXjTCb0zuJDtZ1B49euAf\\u002f\\u002fgHgsGgdJ7Iu3DhQjzxxBOSZSbihUIh3Hrrrfbnnd+VSqXw3HPPudeAA+cc4XAYF154oVQXldu+fTs++OADcf8OLwIA+vTpg0MPPdTtvtNFn4FmhKZOdPLEgwBOsI7ZE1gAYLAWQy50KX+dAUhxjg8st51I6cyHP07PRY1DvDMh8tlXmDWYZ1aBPAZRTnQIQ\\u002fQYjtJzUSWF8MSstkVmDV5P7vIo7GRCxgbb4Xg9D2W+8XYN35qVjTDVVMdsowI3JdbaC102VHhzrwzjJDPFx08++WTcd9997qQUaWLLunXrPKEvzjlGjhyJww8\\u002fXCIffWbWrFlYu3atVI6+f+TIkQiHw9L16boOxhhmzpwpfZaGC7FYDMcdd5z9\\u002fY4mAYT6HkEzmdHW1IlO6AmR0QTY43PRNsfouRDtns46CwJYxxNYZdYifSYtwh2r56IIAdd2TBwhxjAzVWpl4jgz5EQN5weKEOAMcjY8h86AKakdqPQR\\u002fUwAR2ox\\u002fCbYBpWueDsl5Sw1a3CzlPGWRkOEt0\\u002fMctyaWIfK3RTeyI1esWIFhg8fjnnz5vkuA2UYBu644w7PQhDOySe0xJOzo6DPXn311aIhHdZZ13WUlpZi2rRpAODpIA455BAMGTLEo9xzzvH1119j165dCAQCntTcY445RnqPNKm7QOg+zSLM1tRvwCme2GE1srY50NCL5cC0j4qHO8J0zDerUAl5mSh6PU7LRY4jg47CYtt5Cl+YldKnqXx3FsZRWq4nvTYMDavMWryd8k59Fe6+hhtC7RF0WVcTQA40bDATuDmxzg7F7W7G22yjArfUrnPEyR311EN4IxKuWrUK5557LmbNmoUxY8Zg06ZNnvg4YwzBYBCPPPIIwuGwJ9GF0lR\\u002f\\u002fPFHX6t+5plnoqSkxDPpBQBmzJhhd0DOEFw4HMbJJ58sfZas+8qVK7Fy5Ur7GH0XABx11FHIy8tzegIUZsuD2LaLjjVpNHWiUwMcYb0azoNdtBDaaUEkpfE5g8k5Fpk1VlfN7IpMcOQzHX30CBLctK02JbksNKqx3pRDalT+1EA+2moB6btMq7N5NbXTmi3nnBUn\\u002fn9usBBHaDFUuTLvKCfzgcRGrDXjGUJx6amm2TLePjFE7nrFHghvuq7ju+++wxlnnIFly5YhHA5jyZIluPzyy+3llp3iGuWz\\u002f+Y3v5HENVLgt2\\u002ffjhdeeMFXlGvbti1+8YtfSONxUtS\\u002f+OIL\\u002fPDDD55yAHDaaadJoTSy7qZp4vPPPxe\\u002fuyMHn3OOXr16oUOHDtI5pPv8IXZTNnE0ZaJTz6tBuO6OE6LBDmJhtGUBJCAP5kuRwgqjBoA8PgeAbiyMnixHssxE7HlmlTWPPd05GJZVPkHPR5Knv1vMbNOwlsfxdqrMqklOyClgOkYHWktDBFjflct0\\u002fC25FZ8ZFZ516xoy1fQTowK3ZhDeiBT1Ed6WLVuGc845B6tXr4au6\\u002fbmCu+99x4eeugh38knnHPccccdKC4u9k1T\\u002fdvf\\u002foaysjJpoQgqd\\u002fHFF9vbLDnrjMfjeOedd+xro+MAMGTIEA9p6TOffPIJ3KAO7LDDDnOfouboD0j9epNFUyc6h5iIQONzDUiT92Atx1Kv0w9gAAyl3MAq05oC6aq0nxZBxFLNqbV1MFRzE18blXDWT+cP0kLo51pkkgMIMoY5RhW2WqG4tNIuSv5cL0BPLSyVE6tmaFhgVONfSe+6dbQzTF8tUqfw9oklvJX7CG9kBfv06ZNxw0MgTZTf\\u002fe53WLZsGYLBoMdi\\u002fvGPf8SCBQukyStE\\u002fM6dO+OSSy7xjJ0BYOPGjbZQ5nb9Bw8ejF69eknl6Ny7774rXSN1DtFoFMcff7x0f4RFixYhkUh44vAAcPTRR9v12D+zwKFwbfrRVNHUiQ4A7SGEE\\u002fsYPdDdtbA1KyxtZXUwrOEJVLnG54RBehQpx5ieymzlSaywxDuHjQEgNk2IuEJxAGBy4B2jzFGTddwKxZ0fLELC4QVQjSnG8VRyi0Vg7yIYnVgIj4a7oF0G4a0AOv5nCW9VPsIbkBaqxo0bh0GDBgGAJFa5P\\u002fvwww+jR48edtIKkLbMiUQCd911lyfLjL7jqquuQkFBgUcRB4A333xT3Jsr0SUvLw+nnXYaAHjqXLZsGbZt2yZ5AtTBHHnkkVJ9dH7r1q1YunSpfd1O9O3b133L1CDtAJS4jjVJNGWiEzoBCMO1OpMOhh4s7HGLGYAVZo39f4JplemtRaR4CuXELzZrUJvBgztSy7UKpMW7EBjW8FrMNSvBkaY5\\u002feBH67nozSKIu6x5FBq+MirxP6PCzpaja2XWtTwY6oQeWthHpRfu+sdGOW6tXetw170gl\\u002fzuu+\\u002fGkUceiZdffll8j2OMC6RJdvDBB+P555\\u002f3iGs05n7nnXcwa9YsT7op5xx9+vTBySefLIXbiGyffPKJJ9TmtLROVZ86ivXr12PJkiVSPYR+\\u002ffr5ZslVV1dj2bJlUv10vmPHjohGo+4lpgAx0uvj8\\u002fM1OTQHondzvqFmasV0tNdC0tJPHGKV1+8tt51AP0JnLYRCpkvrvZlWWG2ZNaan8TlZyTYsgIO0kOQ5UB79XKMa5dw7Ow0ATtHzEXbNjaeyk5PbPTdJLvzlwTY4Uc9DuU+8vQAaPrbG5BUwPe66G5xzlJeX49tvv8UFF1yAUaNG2UsuO8lOCStDhw7Fvffe65kDTuR46qmnbLK43WPKQqN6SaDbunUrvvrqK+mzVPcxxxyD\\u002fPx8m+D0vYZh2NbZLcj16NEDbdq0kZJ6qL4ffvhB\\u002fk2t627bti1KSkqkY0j3j9KwsKmiKV88MaSr38lOLIQgZIIxiOmf62yiy95YFxZCDLq9xDIgfqAEOH7gcVcJ8b9uLIz21jRWJ0wAyyzPgbLciKytWQBH6LmIS8q+GJsvNKvxjZWQ406R7a7l4PJAa1S5xuQmRFLN\\u002f4wK3J5Yhwof4S0TaB8zXdcxffp0nHbaadK+5PbvYFnJG2+80V5f3T355J133sH8+fM92yMBwPDhw1FcXCx1DPT9s2fPtv\\u002fvfO3evTu6dOkiHaN6582bJ35bi8RE6s6dO6Nt27a+97p69WqpDKGoqCib8i4NC5sqmjLRCVJD2IMrFkQQmhQjD4Bhl5lCKTccR9NWujMLIc+y6GmVXsMOnsJPPGGVcAtxYRQwXVqaOQiGnTyFpRbR07FzUaoHC6OHFvbkszMGfGZU2hl5bpqODhajtStcKOZVaphnVjmWf8puyZ0gZZvi5qtXr8aIESOwaNEiabEIImxeXh5++9vfesbyRO6pU6fa9Yp7EldaXFzsEcpoDO8OfQFpl\\u002fzwww+XzlG9y5cv992\\u002fLRwOe6wzlVm7di2SyaTdKZCnomka2rRp474GusHOrvdNEk2Z6O6GAJAmkyC6d673Tp5ChUUDd8u104IIOAhGncNOnsJmnpTKEHm7a2HPXMYANOziKR\\u002fxTpQZqEc95kEHUMlNfGCUWZ90huJEJ3S63gpVrrnxITDs4Cncldhg7yFXH0vuB1Ldt2zZgtGjR6OsrMwTr+ac45xzzkHfvn09c8QB4N1330VVVZVk1ckzGDpUzBNxE3DNmjWe2Di99u\\u002ffX6qfjq9cuRJVVVXSMUKPHj2k4\\u002fS6efNmu4y7vo4dO7rroiYqtl7dK3Q3KTRlohNa+x5kAQRY+qEn0pbCQAU3pM\\u002fSmLwNC3iWc9YBVHDD4QXAro9BxOrdM+M0AD\\u002fxJOKuiTR2FoaeC8MVcw+AYSNP2PqBc4FKADhNL0ARdNfUV7EK7bOpn7DGSqox9tDwkGVfuHAhHnroIUkMc67Qcv7559vHgLQF\\u002fv7777FkyRKpHJFn8ODB9pDAab3Ly8uxYsUKqR7CIYccIn0PoaKiAps2bfK9B3L3CfT9mzZtQnV1tXTMKcg5jzuQDxFiUxZ9P4C85ADEZg3SCQDIZ5o0A4yEuApuSASkijQwFLMgDAdpAQ7GgF0Wyd27rwTA0F4L2Wu+ETQAa82EdD1Ot74Lk8sIwU\\u002fEzp1RArLmDMDPAvnSd9OMuOW8FtOsyTKNldVBlvqpp56yE2TcS0CdfvrpyMnJkcQ3XddRW1uLRYsWAfAKZd26dUPr1q0loYzU9vXr10tlCO3bt5dUdDqfSqWwbt06qQxdmx\\u002fRGWOorKxEZWWldI7KFBUVub+fmiEP6WdMWfT9hFZwJTRQM+Uy3dMF6wCqLTq4lfAQxNLMst0W7brDctvlo2I2W2umu8qIsfZaHocf2rMgotAkUlIH8B0Xrr4z845DzFMvcQl+HBxhpmFWqtRauNI7pt9d0Ni3srISkydPFt\\u002fnUsQHDx5sW0G3iDZ\\u002f\\u002fnxxH45EFwDo0KEDiovJE4ZUH5GWQGUKCgrs9d+d5zjn2Lx5s3RtBBpv++UE7Ny50\\u002feeCwsLfY9DED2a6WRTQVMnegwi1gkgnVACiIUl3GRiAKot66y5Oucg05DHdI91NjlQnmFMn880S\\u002fCTQ3jMSrBxgs530IKIMU1ysTWIjR02W15AuowodZAWRnstZC8r5RT8vnJl6zUWyApOmzbNkwhjmiZCoRAGDhwolSGrT2EsJ9FN00QkErEVcfc4fePGjQC8inheXp5NQneHsmvXLqkOgrszcZZxE52O03f4dA4RiDyNJo2mSnTiTRCue6BmCtiUSBfgEPur+SEAhohDpXeinNOqcfLZfKbLK1E6UG0vQUXWWbzmI4CQpYrTNekAyrmBndb3uEnbQQsi4hLZAlY0wCv4NQ5IEV+zZg1WrVrlmXsOeMfPTnEtkUhIx+iVrK3zewAx5qa6nCG4SCSCvLw86XsykZZAn\\u002fdDeXm57\\u002fGcnBy3DkBvAmgGWzQ1VaITPEQn6Axwd84ckGLkTmgQLeo+ywEkXQfpCciBBveGD3S+yjFEcCIHTNIOxGcYEuCezDsifDGCnmw9DcA2H8GvsVFZWYlVq1YBgEdc69Spk2+Z0tJSKQbvRG5uru\\u002fx6upqX1c7FAohJyfHt0xNTY3vcV3XM6bzJpNJnxJAMBj0WyQSUEQ\\u002fIBCETyPoYBlIy323PQLEDyGWjvJ5OLJ4AW6SMcvy1nJ\\u002fGxthmhTCo+9OchNxdz669eoe04vvgScS0Jggd51zbltON3Hy8\\u002fN9y1ZXV9tTV93IZG2rqqp8SRgIBDwLUpLlzURaTdMQDAalzxLc+7kRQqGQx2OwEIQgO6DEuP2KBgxOs7dTpooa0rrOnV4a8h3ZvtetG+zOde0NuElEILffD+4ZbM4VX+oq44Y7FOe8rt0pk+l+mgOaOtET8BmeGuC+C3IzCKsNn3MmYIW2vI0dyECpVAYJTANDhFm54K5zNdz0mX\\u002fOEWQawhmao8aH6BxAMfMuvdxYIAGNMYaCggL7mBM0rnYjGo3aFtUN51jc+RqLxXzLGIbhsdzUIYTD\\u002fhqZaZoZrX2mMvF43DM0sZAE4C\\u002fSNCE0daKnkOHHNzgHmHssDM\\u002f4mGAC8HM2GYCwXU86wQUAamD6ZqFxAJEM1iEO7klq4RCrwKbz5WQBbxtPStIiRRdasyBiGQTExkIsFkP37t0BeMNlmRJWCgoKMu6TnqlziMVivlY4mUza7rYbmUjr7Bz8XHTA22klEolM1j4FeCKoTQ5NlejUekk4GoFCaICYiOLOSmMQYTc\\u002fpMCl5ZwIDEJdp\\u002f87Uc6NjEuE5kqruqdd+lKesndEpWtKQaw2QxbaXd8WnkC1Y0VaceMcRUxHX02EeBu7IcmV7dSpEw499FD7mBPLly8X9+ZKWOnatWvGMfKOHTuk93Q+Go1KddFrTU2NneTiPpdJI6itrfVMniFEIhHfMvF43N0p0BtF9AMAFRBkB6yGITLUuLZDosyxGLMWTXDZwQQ3UWnlijvPMAa0yiC6lnPDnoGWtrZiTbqOLCR9ls5v4knPuu2UAttBC1nvuXSNa8wEtvAkwo6wXAochSyAY3V\\u002fFXtPQWGuESNGeOaKa5qGZDKJhQsXesoAQM+ePT0psJQ199NPP9nHnGXatWsn7tkxUQUQwp47JEZl3fF1gl\\u002fYjcpQBpz7OMXkfTqHagC1ngqbGJoq0Yk3ZQAkv46aqdIn65sWdqAKnE2aBFCBlMsLsMJbmjx2pHoT4NjGk77dQAkLSZ+l1608KW3BTNecAEcfLSJ9ls5t4AmsNROSVqBBLG91RqAVCqF77mdP4Ixhjx49WlyTy5ouWLAAGzZskI5ROUqk8ZtU4rbodK5bt24AvGJZaWkptm\\u002ff7lufOyZPyBRfB\\u002fyTaYA00X1QDkH2Jo2mSnRAPNcGhFW3YfcA3JAmqIgtksUqr87EGCKICY7tpoEgS4fYhHUWFl3sVy4PB1Lg2MSTHi\\u002fAhFiB1u+CU+D4kcfhXt89yTkGahFpdxiKlwPA\\u002f4xyT+cQB0c3FsJFodZW4k3jUJ0mnlx66aXo37+\\u002fZ212QMxSq62t9Sy7nJOT48mYc04T3bp1q2eaKGPMnlrqVuW3b99u7+XmdMd1Xc84HZWy7JzWmXOOYDDoCe9lsejUDJVIE12JcfsR3uVYIDZCdE5QEb0CRysEkGe579SkRJDtSHky3QyIzqGIyXabyq4xEwhInYPoNNqyIPKge6wzAMw1qjxlUuDowEK2VXcuLwUAHxhl2IoUnDq7BpGYc3mgNQZoUaTA95jstJXxQQcdhN\\u002f\\u002f\\u002fvdSqIrc9ng8bm9e6J7C2q1bN\\u002fTv319Km3V6AdRpOMfDsVgMPXv2tOsB0oSjZB03cnJyPItSENauXSu9d+bakxbg7hwob97HdS8H7IWEmyyaMtHph9\\u002fgPEjk2cKTSEJuHQMchUx3CGUytphJaZtihrTo1c5yxak+0gKEdZY7h6T1PX1dpKXSi4waX+8gl2k4Vc+3PplW+DWIsf2sVClijqWuyKWJQMNDoRJ0tJbO2t00LpqlFolE8Pzzz6Ndu3bSmJks6vTp07Fw4ULPFsgAMGzYMOTm5vouBEkLTLhd\\u002fU6dOqFPnz7SMQKtDedGly5d0KpVK99zP\\u002f74o1SXk+juzDw65+MFUJOSIcmU7dwk0JSJTqBpT9z+B2I+uHMlFiJtoRZAoa1ui7Mkeq0349Y+4cx26Q1wFLEgOlrj9DQBSSiLYxdP2dlu9vewAProRHS5zPe8BivNWmniDQNDkovtoGLWWnJuE\\u002fJCcju2mEmEHEMPDSLO3l0L4+lwV\\u002fTUwjAgnkoN9TdDNBU0JycHL730Ek444QRppxRKaKmursb48eM9hCTCX3TRReJ+XMtFlZWV2UtGuae8HnvssZ5Og859++234rdzTXnt06ePnebqnPIKeNeGo+OdO3dGTk6ONNYPBAIwTRPbtm2TvgdeQ6Is+n4C\\u002ffBr\\u002fU5u4gk7jOWEDoaumoi\\u002fEvGoadfxBCq5IYleZFEPZjlSGcKPvBZbeAphRxlS+A\\u002fVInZnQXXpYNjFDXxrVCLINCmTrgYm+mlRHKfnWZ0GdUTi\\u002fHqewN9TW60JLs57EtNve7MI\\u002fhbuJvZ1t8rVxwQRyaLRKF555RWMHDnSs8Y7Leb4zDPPYO7cuRIxndsXH3bYYdJYmnLe3377bWl87sTPfvYz8fs4CMgYw08\\u002f\\u002fYTvv\\u002f\\u002fec60AMGDAAPu67N\\u002fdKrN161apPgKtPONe+KK0tBRbtmxx\\u002fyz0gfXWa5O15kDTJjrhR+cbao1ybmKjmZCEMgp99dDkRAuyxJt5Ajt4ylMmwbkdr6bHSpBPkPYHs1baKlkDQw03cIQeQzELSIo4feYDo1zardV5LRcFWoNB7lSow3kxuQPvGmWe1WppvN6WBTEx3AWPh7tioB5FLrSsjUyEDYfDePHFF3HmmWf67rsWCAQwf\\u002f58PPDAA7bwBkAi7vXXX49gMOgJkQHAG2+8AUBezNE0TRQUFHg2UCDyfv3119ixY4ck3tE5WovemUILCGvunqdO50gHsH9T6\\u002fzWrVvt+fCOjoN+NjIkTXq3luZA9I0QcU5pDGWC40cz7plAwgH0tq1zGmSFl\\u002fMa6UfRACRhoo+eg\\u002fwMo9+vzCprplxa+EsCaI+gHeemx56elm+NKiw1a5DjcN+FVRcdxC\\u002f0AklJ50jPvvt9YhPmmdUIu7LidAglPgmO0\\u002fR8vJ5zMG4PdQCzfAO370nEicViePXVV3HWWWdltOSbN2\\u002fGhRdeiMrKSonE1FGcdNJJGDFihB0zB9K7r\\u002f7www94\\u002f\\u002f33pQ6CvIBjjz0WPXv2lNafIwJ+9dVX9vc7lf3i4mJ7TO8us2LFCsTjccmtN00TwWAQvXr18i2zadMmVFVVOUVC+lmTAJb7NnoTQ1Mmuj0cR9qqW0kzAqt5HEHHunHkRnfVwrYi7n74FxrVCDDZmhoAChHAAN2dhSY+84VR6ZNVJ5ahGqYXWO\\u002flGHgKHC+ndni+i0NYr6uD7ZAHeSEMSqzZypOYlNhsX7+T7BpoKq5Yi\\u002f7F1A5p6ECghzoSidiWPJVKSZacyFdRUYFf\\u002fepX+O677zw7p1LYavz48dKSU3SeMYZ\\u002f\\u002fOMf2Llzp7RgJH1uxIgRkgpP4+Z4PI6PPvrIPkb1AUCvXr1w8MEHS+Nyep07d65UhlBcXGy7+25vgzZ28MEWpMfoynXfT6AksZ1IC3ImkB7brjJrkeBcco8p3bSXLtx39ySWpWaNtX942hMwIDZkOEqPSWXo\\u002fHozjvlmFaKODRkYGOKcY7AeQzctDI70dRCx3zfKsNysRRS6y6pz9NFycG2orRRLJxJ3YEFcH2wnpdESxH6\\u002fOr7ntbgmvgYrzVpPVICEt0gkgpdffhmjRo3KSPKysjKMGjUKn376qYfI9P62227DEUcc4dk1lcbM\\u002f\\u002fd\\u002f\\u002f+dZZNI0TeTn5+Pss8+2rwlIE3TlypWYM2eO5AVQ2eOOO86TeUf39Omnn9rfT58HROdQWFjoWSIaEEME53cj7XgtgwitOZu7SaIpEx1Iu+srrfcMSBNpLY9jC5J2Egq51IUI4BAr9OW0lgCwhiew0oxLe6kxiEkyh2kx5DgSZ8i1ToHjE6NCIpzIdjPRngUxSi\\u002f0DB80AFXcxD+TWz2NoAGogIlLg61xqiWsBS0Xvw0L4i\\u002fhrmIDCNeiEwbEunereC3G1a7BRp6wNnJw1G1Z5FgshldeeSWrJS8tLcXZZ5+Njz\\u002f+GIFAQCKcrutIpVI4\\u002fvjjcf\\u002f993vG5eQ2P\\u002fHEE9iyZYtkzakzGD16NDp06OAJ4QHAq6++6hHNSPkfOXKk+I1dlnn16tUe60yfoTXl3ecMw8CcOXPcp6i5FkLOW2qyaOo3QA3yjfWqOQ+uMxP4yUwiJI3ThUs9QIvayS1EWg0MVdzAMrPapYgz1MBEXy2CHpoY36fH3OIzH6XKscVMSptGUJrqqEAhiljA44YzADNTpfjUrECuYx05u27O8btQR\\u002fTRIkhancbTlshWam3UQLBJbtbg2vgarOMJz57qTuFtypQpGDFihK\\u002fwpmkaysvLcd555+Hjjz+2SU2gzLlu3brh3\\u002f\\u002f+tz2LzCmm6bqO5cuX44knnvC15nl5eRg7dqzkYpNlrqqqwrRp06SGpo6id+\\u002fethDnFu8+\\u002fPBDe0MGt+t+wgkn2N9BZRhjWL16tR1D9wmtzbObsomjqd8APcdfAen8GKelXW7WWLNVZUV8kBbNmLk226iwJsU4icQRYxpOscfcAtTdb+QJfGpUIIfJnkACJjppQZyrF9rfT+WYFSZ7IrEFldZeanJZjnYsiPHhEhyt52JiuAsGaTGUc0PKkDPAbUt+bXwt1pvCkjunXDmFt9deey1rCG3Xrl0466yz8OGHH3osObnIrVu3xiuvvILu3btL8XbnohN33nknqqurJWWeOpvhw4d7MujIgn\\u002f00UdYvny5pAfQZ0aMGIHc3FzPJooA8MEHH0ifJYvdsWNHe8dUd+fwzTffoKKiwtk5iMdHZMSRENek3Xag6ROdsAYABVyt1hJt87lZCZOnx9XkvndmIRyiRyQ1mqzz10YVtkLOYdesMNuwQD7CPks7AcCrqZ2o5bI7TeG584NFaOuy6qYV519i1uAvyS3WGD8NHQxVMNGNhfFU+CAM1KIoR8rVAYkpsavMWoyLr8F6H3fdKbxNnToVI0aMyCq8\\u002ffKXv8xoyckaT506FYcffriUBw\\u002fAfv\\u002fMM89g+vTpnnE9eRR33nmn5\\u002fejep577jnPWNowDASDQZx77rlSGbru9evX25l3zvg+AAwZMgQdO3aU6qTO4Msvv5Tew+EQQgwJKSDTpNHUiU4ecArAJ9Yxg04AwGKjGmU8JYlrHECAMZyi5UuJKVRZFQz8L1WBiCSuidBVdxbGz3QxMYIIRzH1JWYNPjEqJTdcg1h5tpuWg8uCbTziGXkfk5M7MCtVhlbMu8ljEiKtNQHu767zWlwdX4N1pr+7bhiGnQyTbUxOwtuHH36YcZPFVq1aYdq0aTj11FM9HgENA+bNm4fbb79dctmBdIczduxYDBw4UPIEyEJ\\u002f\\u002ffXXeOedd+xjQNoKH3bYYTjqqKOkEB55ELNnz8bWrVuljoVehw0bJq2YQ15EdXU1PvvsM+mzjkdnPkTY1q1lNkk0daID6cUh\\u002f2e92kxgEJNb5pvVkrgGiPXaD9djyLFISYWISB8YZah1JbSIJZ8YRgZbWVZTbv8UxJbHtS6lXwNQyQ1cECjCIC1qZ7oB4gkyIVad+UNiI+Yb1Siw1pd33od7gYtMwpvTXXcLb9kseTbhjepp1aoVXnvtNZvk7np0Xcf27dsxZswYVFVVSS47WeWSkhLcfffdvgtDcM7x6KOPerwEOnfNNdd4UmU1TQNjDP\\u002f5z38832eaJnJycnDmmWfan6W6AKHsL1682N0h0UXNQjNCcyA6tdAciFCbDsFjO179lVEJTcpcE+mmPbUwBtkrtKTz3hnEDLNlZo2Uj66DoZKbOE7L85llJtzwr81KfGCUI4b0ri\\u002fkckSg4fZQB2tOvHPjJ1HPDp7CbYl1+M6MI+QaHviSvB7CW05ODqZOnYrhw4fvlvBG9eTn5+Pll1\\u002fGKaeckrGzqKmpwfnnn48lS5Z4XHYi2YQJE9C+fXvPtsu6ruPzzz\\u002fH9OnTbe+BynHO0aNHDzshx5l\\u002fzxjDsmXL8Pnnn0v6AMXwjz\\u002f+eBx00EHSNdBn3nzzTfuzrqaoBPCF41iTR3MhugZgNYDF1jEpvelLsxLbeUpSxE1wxJhuzxZzbsYodk7heMso9eTCcYjFK0YHxBxweeqJ+P9zya0ohyEtOa0DqALHkVoMVwfb2h2D8yYCANaacTyW2JRxQcqGCG+5ubl4\\u002ffXXbXd9d4Q30zRRWFiI119\\u002fHaeddpqH5M4VZy655BK7s3DWQ\\u002fVefvnl+NWvfuWZ306W+L777kMikfC19FdeeSWKi4slEY4IO2XKFHdmm13nhRdeCABS50Xz4N9++237vaMZACHu0oJ4iugHEKilpjvfk3VeadZipVkrhdko9HWyno8CV5Yckf6tVCk2Iiltv8wgJpCcEshHXy1iJcKky+lg+M6swQvJ7ch1WWWKj\\u002f862AbDrPg4jfN1CKvflYUwLtQOKZ+NGRoivEWjUUyZMgVnnHHGHgtvL730UkZ3HRALOI4ePRrTpk3z7SxSqRQGDhyISZMmebZapveTJ0\\u002fGxx9\\u002f7Mm8M00THTt2xFVXXeUZm2uahp07d+KFF16wj9F3GoaBDh064PTTT\\u002fco+5qmYdGiRVi6dKlHR7DwvtUcftsDNEk0F6JTY0xHWkABkCbvTGOX\\u002f2IPWginBUTIzBn60iD2HZ+R3IWoY8xM5fKh44pgG9e3pDuXfyW3YzGvQRTpmWZOV\\u002f3+UEccouXAALdWrwG6sBCeDB+E\\u002flrUs9LB\\u002fhDeCgoKMlpyqsc0TYwZMwYvvfRSRre\\u002fTZs2eOGFF+z54+54+9atW3HXXXelG9M1JfX222\\u002f3ZLXR\\u002f1955RWsW7fOd278GWecYavt7hVmZ8yYgcrKSr+wWhWAmXZzNhM0J6IziDDbp9YxaeXOz1IV2GAmpLncZI3PDLSy9kNzOuLiU6+kdmILl+eA62CohInTAgUYqudJbjip+JUw8Kf4JiQgLwRBsfViFsSj4a7oyIJIgaMrC+PJnIPQS8tBOZfz5hsivOXm5uLVV1\\u002fF8OHDswpv55xzTp3C26uvvophw4b5uuuMMcTjcYwePRpTp0711EOuczgcxr\\u002f\\u002f\\u002fW97SSon4YjQt9xyCzZu3OiJmxuGgX79+uHXv\\u002f61J3tO0zRUVlbir3\\u002f9q6+rHwwGcc0113hEP13XEY\\u002fHMWXKFOkakJ43NB8i9bVZhNUIzYno5P263HdhnTfzJL4w5ZAZZcIN0WMY4spjp4H\\u002fBp7A9NQu391Zdc4wLtjWWkKaSa6\\u002fBmCOWYXnktt8d0+tgoleWhjjwyU4SsvF4+EuOETLQQXk1WsbIrxFo1FMnToVZ5xxRp3C20cffZRVeHvppZd8Se4MXf3617\\u002fGlClTfOsBBImee+45+3r84u3\\u002f+c9\\u002f8OKLL2bcK+33v\\u002f+9vayzW4R7+eWXsWzZMt+58aeeeioOO+ww0aauufEffvghVq5cKd0P0sZiqt1MCgckiGftAGwDRa4AroFxAHyIFuMLo\\u002f35\\u002fGg\\u002f+29utB\\u002f\\u002fLjqA\\u002fzV8EAfAWbpn55r1vj0L8o8jffjiaH8+z1F2TrQfXxUdyH8dbGN\\u002fnsoygOtgPAjGnwwfxFfFBvBvHWXnR\\u002fvxedF+fFG0H18Y7ccXR\\u002fvzua7zc6J9+YroAD4j0ouXsJDnOwBwxsS95ebm8rfeeotzznkymeROGIbBOed8165d\\u002fKSTTuIAeCAQkOrRNI0D4AUFBfzdd9\\u002f1rcc0Tc4554lEgl944YUcANd13fd6APBnn32Wc855KpWS6qH3CxYs4K1ateKMMakc1Xneeedx0zSl8qZpctM0eUVFBe\\u002fdu7d07fR\\u002fTdP49OnTPd9tGAY3TZOfffbZ7ms3rNftALpYz1GzInpzuhkKjfwE4E3rmCn+ES75PLMKc81K5LjGzTUwcbyei8O1mF0JFWZg2MKTmJzajhzHlFeAFnswcFWwDXqziG98PAmOBxIbsMysRS5ky05hNxMiKcbrrtc\\u002f4+2ll16qU3irK4SWm5uLl19+OeOYHBDC25gxYzK667SY5LPPPourrroqq9p\\u002f2WWXobS0VMpNJ5e\\u002fdevWeOihh+xjzvKMMTz55JOeabP0\\u002f2OOOQbDhw+XxDsqt3TpUrz77rtuEY4I\\u002fxZERpzbaWryaE5EB2BntP4baeJzAHZm3GvJXdCc65lBkC0GDZcEi+1EWacbzgBMTe7AIqNGmlLKIMJdBQjg7nBHazkpb3x8O0\\u002fhtvg6bEPSszMqc70CDRPeaNGIbGPysrIyO4TmJ7zRSi+vvfYaTj\\u002f99KzC22WXXYapU6d6OgunSPbUU0\\u002fhqquu8gwfaLycSqVw2WWXYcGCBRmvZ8KECZ4FKZzprpMmTfJbsRUAcMcdd\\u002fiKc4wx\\u002fPOf\\u002f0R1dbV74otmNcFk3woVDjgwiEYLQWTKcYjUds6svyjT+Cs5Pfkyl6s8z3Kfj9ZzPS4yuf7H63l8ieW+u134ldGB\\u002fMZge+ESutxren+EHuOfRg7li1xDgPmuushd75LBXSdXNTc3l7\\u002f99tuN4q6\\u002f9957Gd110zR5PB633XV3PeR6a5pmu+vJZNJ29akeuqYrrrjC1+2n96NHj5Zcbfc9XXLJJZ7y9P+TTjqJx+NxqSyVW7t2LS8sLHS7++S2fwFhyZ3THxQOYJCfeCEc43Q4CHNWoJCviA2QiD7XIth\\u002fcrpzHczuGNJlxbHfhzrzVbGBfI4PSZdG+\\u002fNT9XyL3Ex6iAPW+3MDRXxZrD+fF+3rIbtN8pyDeYkW8u006AGNRCK+41Dn+\\u002fLycn7qqaf6korqycvLy9pZEEEvvvjijPXQ+PqZZ57xvR7nOPvGG2\\u002f07Syo3v79+\\u002fPS0lKpY3DWOWvWLLtTcY7raWw+e\\u002fZszzXQ\\u002f++44w6\\u002fe6DR00XWc7P3tqhV2CsIQ4RJ7F6biBuGxl+P9OTLYv353GhfB9n78hWxAfwsvdBDVuokClmAz4r05ktdZckj+CzSh\\u002ffSciRPgMp2ZSH+es7BHlGvvsKbk5zvvPNORnJyzvnOnTvrtOStWrWql\\u002fB2wQUX1Cm8ZSM5XdPNN9\\u002fs6Ryc9RQXF\\u002fNFixZJ9+H8\\u002f44dO3jPnj09Ahxd16WXXupb1jRNvn79et66dWu38EckXwYgD8qaNzmQVb8K6QaVyPeLQAFfHh3gcd+XRPvz9yO9eWsW8LXqAPhQPY8vdqn3ZJGXRQfw6ZGDeRsW5AB40CrThYX4jMjBfKXrO2VL3ot30fxJTg9zLBbjM2bMyEry+ljyutx+0zR5IpHgF110UUZ3naxoNnediH\\u002frrbfa9bhJrmkaD4VC9n25Owu6Pj+Xn8q3bduWr169mhuG4dtJ3HTTTZ4OAmm3\\u002fVrXc6PQREA9cy5Eb20i3aicWa70P3K68RUu4s2J9uWrYgP4\\u002faFOkstOZYmA1wbb8VWxAR4Xfk60H18ZG8D\\u002fL6cbz2figTyIhfmMSC++IjaAz3F4Ae4xeSeW3V2vz5i8tLTUtuSZSJ6fn1+nR5BKpbKG0OrjrlNdt9xyix\\u002fJbJJmq4eu7\\u002fnnn+eapnFd131DcX\\u002f5y1885anDWrx4MY9Go9L3OZ6H5dZzoqx5EwX1zpdDblibrIfrMb4o1t+25s7XRdH+\\u002fDg9z2NdmUX+ABh\\u002fKnwQXxkd6ImPz4n25atjA\\u002fkToa68nxbhb0QO5iszdAr1Fd7y8\\u002fMzutmNGSc3TZPX1tba7vqeCm\\u002fkrrsJyhizSfrwww\\u002f7Xg+Rdv78+bygoMATb6d7OvHEEz0CnPN3Oe+88\\u002fw6LPLyrnQ9LwpNDKTARyDSGiWyk+B2f6iTJa45x+pCWHsr0psX+brw4rWtFuQzcnrxZVEviedaw4Cvo4fyJdH+mUleD+EtFovZljyb8HbKKadkteT1Fd7IXd9T4Y0suV9nQXU\\u002f8MADdj1ukpqmybdv384HDRrk8QiojsLCQr5kyRKJ2M7rmjlzptuSO5+DhQByoCx5kwf10iMhGldy3wHw1izAP4gc4pP1Jlz4P4c7Sx0DlSehrpeWwz+LCDK7x97zrKy3PRHe6uNm79y50yZ5NkueqZ6GZrw11F33G5MD4Pfdd59Eamc9pmnyZDLJzzrrLM\\u002f1ODsKv2uhzqasrIz36dPH737oORhpPR\\u002fNLZ+kRYIa8U14XHjxAI4MFFpj9b4eq7w8OoCfHyjytbj0fqiea6vublJnDqHVT3ira0xeH+EtFovxWbNmZayH4uSNLbxlc9fvv\\u002f\\u002f+Ouu57rrrfK+H6rjgggtskjvroPJ33313NpedZqhRsoxCEwcRfSCACoiGllx4HYxPCJfwVS4XXFhkYakH6lHJkqfLi9efBwr43Gg\\u002fvsCH3LsjvDlDaG7L6RTe6nLX8\\u002fPz6+wssrnrDRXeiOTZhDenJXfXQ9d47733Zr2vfv368dLSUrucm+RffPEFD4fDbo+CRNka63lwPh8KzQDkwj8IuVe33fG2LMjfjxzCl0bdsfV+fGl0AJ8Z6cXbsIBUhv4ohPbrYBvf8NnuCG+ZMtWcwtvJJ5+c1V3P5vY7hbdslrwhwhu5636WnK6JLLnbCjtJ+uc\\u002f\\u002f9m3HucwZN68eZ5OxznhpV+\\u002ffn4dDrX7n6znQZG8GYJBCHPz4HLhyUqfrOdnTHH9LjqA\\u002fzOnG49As5R3WZg7iIX5yzk9MyTD7HvhLTc3t053fW8Ib34egdtdd5PcacknTJiQtbPQNI3\\u002f97\\u002f\\u002f9b0eqmPcuHHZXPalEMkxGhTRmyXIqv8MYhUayoqSiHd9sB1fHfWmuM6J9uOrYwP5n0OdbatOHUQJC\\u002fEZkV58VWygZ5zfEOEtW+jLacnrEt7qsuR0PJu7Tv9vqLveUOHNWffEiRM9wwV3PU888YRvZ0F1TJkyhWua5k7MceZRnOZ6HhSaIahx\\u002fwQfF16zyPt0uCtfGR3Av\\u002fWIc335qugAfkeoo+2+d9FExtt3Ue9884YIb\\u002fVJhikvL+fDhg3Lasmj0WidlrwxM95uu+22jBa4LuHNj+R+nQVd45133pn191m8eDEvLCz0C6clrdfHXc+BQjMFZT+FAXwOH7IDYrz+VqQ3X+aKf8+zxuyrYwP5NcF2vJsmMt6+28OMN+eYPJvwRmPybHHymTNnZiVDKpU6YIQ3qvvRRx+tk+Q33nij1Fm5O6\\u002ft27fzwYMH+90XWfJvAcSgVPYWAxqX9YXYX4tcO8viigftUC3CP48c6rvyywKL8J9G+1ji3Z4Jb++\\u002f\\u002f35WctYn4y2bR7A3ppo2lvBGY3K3uw4HYa+66ipfktP1JJNJv1VjnC57GYABVrsra96C4J7KmoTPeP0EPc9e6sk9+WW+I\\u002fS2u8Kbk5x7MtU0FovxN998M2NnQdazsaaaOieoOOtpqPBG7rpfZ0F1jx07lqdSqaz10NRX930h7a2NdrW7QgsBQ7rRH4E8jpPIeXagkC+N9veNj+9JxltBQUGjWfJMY3Kn8HYgZLw56yZ33U94o2v8zW9+Y3sjmeoZP358JpJTez5mtbMieQsFkT0I4F3IFkAi+4WBYr48NsCX3LsrvNWV1lpf4Y0Wn9iXwpvfVNPGEN6c9zp27Fj7+9310L0+88wzvh6Box3fhVhIQo3LWzio8VtDTHDwkJ3IemWwDf8u6k\\u002f2vSG81RUnj8ViGVeYcWa8ZXLXGyq8Ecn3VHirj7r+m9\\u002f8xu6o3CRPJBKcc85feOEFP4I7228RgLZW+6p4uYL9EPQGsBmQlFqJ7JcH2\\u002fBllhtP6a4NEd7q667XFSfPzc3NqK47hTci+Z4Kb9ly1xsivGVy16luuCy5u8Ogel588UX7nlz1ULv9BOBQV\\u002fsqKNjjtxMAlCIL2S8IFvOl0f58YbQ\\u002f\\u002fybal3\\u002fXAOEtU+46va+oqKhTeItEInUKb425xltjCW+TJk2q05KPHTvWXiHGTXKq58UXX+TBYDAbySsAnORqVwUFG7Qo4C8gts3NSPYRgVb822hf\\u002fkNsIJ9eD+GtVatWjWbJM43Jm2rGW32EN7rXKVOmZCI5RUyqAIxwtaeCggf0cJwDIA4X2ZnDYh+n5\\u002fF\\u002f53TP6K47hbe60lrrI7zVx5I3pYw3573WR3ibPHmy\\u002fXmfRSRMAAkA57naUUEhI8jduwBiOmNGy05\\u002f7tlsjS28OdX1lii8TZ06lYdCoWzuugHgYlf7KSjUCbIIw5HOnpPUeIbsJG9M4S3Tqq8tTXhzdTwm0pacSK4suUKDQZbhdLg2bUQdJM\\u002fLy7PddSW87TXhjdJbFckV9hj08AwCsARpK8Ldf07h7YMPPshITs6V8NZIwlsSiuQKjYiQ9XomXAtM0p9TeKtrZRglvDWa8Ka2UFJoNJD7PhjAj5AFoAaPyZXw1mjC2yWu9lFQ2G2QpegLYA18xuhEhMLCQv7RRx9lJbkS3hpdeAvupXZXaEEgSzEQwHrAq7o7x+SZSN5Q4e2NN97I2Fko4U2y5MpdV9hj0EPUD2lL7kvyoqIi\\u002fr\\u002f\\u002f\\u002fS8jOTlXwpsS3hQORJAl7w9gLXxITg9wQUEB\\u002f\\u002fDDD7OSXAlvjSa8KZIrNBqc7voG7KElr6\\u002fwRiRXwpsS3hT2PvyEN191fV+560p4U8KbQuNit4S3Pc14U8KbEt4U9h3qLbwVFxcr4c3HkivhTeFAR4OEt7ri5Ep4U8KbwoEHJbxBCW8KzRt1Cm9EssYS3rKtu66ENyW8KTQ+6i28FRYW8o8\\u002f\\u002ftjXcjZEeMvJybF3\\u002f1TCmxLeFPY+6i28tW7dms+ePTsjOTlvHEtOx5XwJrWPgsJuo97CW6tWrWxLvqfCW10hNCW8KZIrNB7qLbwVFxfzTz75JCvJlfCmhDeFAw9KeMsyJnd2IEp4U2iqaJDwlonkSnhTwpvCgYv9IrxlGpMr4U0JbwqNjwYJb3W56\\u002fUV3uqy5Ep4UyRXaDw0SHiry5LXV3gjS66ENyW8Kex91Ft4q4+6roQ3JbwpHHiot\\u002fBWVFSUkeRKeFPCm8KBi3oLb23atOGffvppRnJyXj9L7nTXlfCmhDeFvY96C2+FhYV1uutKeFPCm8KBhzqFN3qgnXHy2tpankql7D96gLMJb1RPKBTir732Guec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K\\u002fVlJXn+eIvsbTy3i4V\\u002fPaMqMT3fQ6Y5GmpPjbfFba\\u002fm\\u002fn7yMmTDxWOZ6NkhTonk0hBA89MvpvPvysmY76NI0+Uygf2b5lKXx2rSPeOIvc\\u002fAFvJl8F2nvTuIL+ghVRbnrludyddC94nDQ2fLZ5vqzZDPXpQQkj\\u002fx+FjMfm09RWRDTlI3Kly\\u002foFEQHiZFQZFr4xmruvvV56qojmTS704z\\u002frZTyl0IIw9LuHpS5bmtyD06Nbzne9u+q5M\\u002ffesoieXZNno56siszXpCzg85wmOtNOt4+fncd\\u002f\\u002fzxy8RjiQbmeta3Z6oOQgjBw796jbmvfKIcdI2TPemgs0g+FdUJNRyTOxxv0\\u002f8zjyf+\\u002fAa+oGWu58AiW7OHaqLcfdtzrFq0tanO6GTgdSllL4d8V5DFuy4l6ntogmm\\u002fn8WMR5S5nsu7yxd0EqIrmAmT4rICPn53Lff+8AXqqiOZNDvUE+p3UsqfSCkLgMeAG2jE8Xawopq\\u002f3PwMW9fsobA40GxPrCJ7kNlPLebBX76KkTCAJh10n5dSDkaRKLPjzVCOt4\\u002ffWcc\\u002fbn+JeCyB1+tpVkO1TWpbs899eZllxjfqoHtNSjlESnksjZjrtuNt+n\\u002fm8eRf5+ALehHkRvLkNUypxuzVUe5qfOrNNuNPQDkQu0spL0GNyQvJMiaXSB753SxmPDqforIApiHze1Cehk5FdLDM+LIClryzjnu\\u002f\\u002fwJ1NUqzp407bTNeAn8EPkRpcpMsjrcDuyv58zefZMua3RSW5K7J02EakuKyILOfXsyDv3wNUFODZiMOOuADsprrliZ\\u002fZx3\\u002f\\u002fJFFcp+eaZzdtGxOM\\u002f5XM5j732VNOeiGA++gHIMNptCktCwNTY3Jn\\u002fzrHPxBb86avIF8zXPQmSgz\\u002fj3UO8zqXRcCpv3+dYvknUuT2+h0RAfl1S0uK2Dpe+u5+9bnqT5Uh6Y10E422T3AZFRTTh2TW463A7srrTF5BYXFgUxzzs2Tz+qM3nz2Y+67478YCUMNMxpqdgkUA4Os\\u002f2cguaXJf\\u002fQSsWgcb47mejYkx+waPPQLNWZvxEEnUQ66fpnkk1JZGtP\\u002fM4\\u002fH73wDX9Cb3H6kaIaDzu4sxwNlpH3fBo63Ry1z3eh8JIdOSnRQZCoqDfLJ+xu4+\\u002fvPU1sZUpq94YeUqAaRMtVmO94OVlRx57efYcvq3BxvucK0HIhvP7+EB\\u002f\\u002ffdGXGN\\u002fQ+21ZHZvkcJFeavHnmejYkx+yaxkO\\u002fmsG7L2V10AlLtgzyKcebba77C2xzvcXiNeKgyzpEk6TOsGRxvOV3UExj6LREh3qyr5y3mb997zmqDtai6RkddCnvwXa8HditHG9b1uxuluMtV9gOureeW8IDP38VaZLJrG0gn+14Wzp3fT3JW6jJ02GTXRPw0K9fS3rjM7wDLUU+h+Pt1X9\\u002fyBO2ud7MMXlTyOygyzqt6iB5Fsdbnke+NYVOTXRwkH3+Zv52y3NUH6rL5qADSM5zH9pbw1+\\u002f9yxbVh+Z4y1XmIZJUXkB77y0jH\\u002f95GVqq8JNHG853t5dx99\\u002f+CLxaPMdb7nCdtBpmuChX73Guy9lddDVy2c53l59+EOe\\u002fNub+AMtN9ez3svhoLvntudY+t76TDEKKc8DWRxvnRydnuigyF5YGmT1om389bvPUrm\\u002fJpODTjneNMGhimr+\\u002fO2n2LRylxqTt0Nv7\\u002fF6WL14K+G6aFZnlenU5Le\\u002fRKwFjrdcYSY1u+DhX89g7suZHXROx9v0f3\\u002fIk3+bQyDY9Dx5i+UzTAKFfvbtrGT5h5uyHteVHG+Z0CWIDpbmLAmwevFW\\u002fnbLcxzeV5PioLMdb\\u002fYU2uZP24fkmq4RCcXoOaCUX077Kj37lSGlbJAxZZvDS95bz99vf5F4KzjecoXTQffgL1\\u002fjnZcaOuhsx1vSXC\\u002fwJbe3JTRdo+pgLRd9+QRu\\u002fPH56t2lpTJ0NcdbJnQZooOl2UuCrPl4G3+75VkO7atG0wSJuPJ6H95Xy1+\\u002f8wwbV+5skzF5OjRdKJL3K+Wn913PgOG9kGYjJJ+7nn\\u002f88EVikQRef9uY69kgrY5Q01RQzTsvLk1mvdmOt1f\\u002frcz1QIG\\u002f1RxvjUHTNWqrQpx77RRu\\u002fsMV1jBBpLgFu6LjLRO6FNFBkaawJMi6pTv4y83PsG9nJR6vzv7dldx581OK5CVtNya3kdTk\\u002fUq548EbGTy6TzIwxwnDIvnyDzfyz9stkvv0o6KNpLTMeF3w8G9m8M6LS9UYXtf478Mf8uRflbluH9uW0HWN2soQZ105mW\\u002f\\u002f\\u002fgo0XbMsIae8XdPxlglHfd2towHTMCksDrBh+U7+fvuLfPlH5\\u002fPkXW+y\\u002fpPPKC4NtqMmL+OnD9zAoFG9remydE2uzOFl72\\u002fkH7e\\u002fQCQcx+f3HlVtZJvoSJOHfjUDTdeoPlTHk3+dQ7Cw\\u002fcz1msowZ111HN\\u002f50xV4fXqD4Y6SQSCRTPudY0zehcx1J7ok0UFpyoIiP5tX7eIPX3+CeCzRooi3XGFr8h59S\\u002fnpAzcwZHSfpGnuhL1t+byN\\u002fP2HLxANx\\u002fD5PR3C5LQddGCqJB3TJJAck7ftvTVdUFsZ5swrJvLdP1+FJyvJlePtEZfkQBc03Z2QUuLxqIbi9XnaPB3Raa7\\u002f\\u002fOEbLZLLrCRfMW8T937\\u002fRSKhWKsFw7QWlBkvEAI8Hs3a1rb31HSN2sowZ1wxke\\u002f8+UpFcjOd5NDVHW+Z0GU1ug17XNfm5qYmiIZidO9dwo\\u002f\\u002fdR2DRmY315Um38S933+ecF0MX8DTIRuqZR23SxqnrmvUVIU5\\u002ffJJ3PKXq\\u002fBYHZ+mpWlyS6ZHfv+65Xgr6JJj8nR0aY1uoz00UTQco1vvEn720A0cM64fRgaS2xFvK+dv5t7vv0A4ZJnrHZDkSbQLyQU1lWFO\\u002f\\u002fyxfPfPV+LxeZRFoaVqctfxlh0u0dsYmq40eXnvEn76wPUMHdPXcrJldrytmLeJu299nnBdFJ\\u002fP26HM9aMB2\\u002fF22ueP5Xt3XoU\\u002f6M06Ju+KEW+5wiV6G0LXBdFQnPJexfzs\\u002fus5Zly\\u002fZHSbE\\u002fa2FR9t4p4fqHJYHcXxdjRhz5OfdtlEbvnrF\\u002fAFvBnG5F074i1XdPkxelvBdrx1613CHQ\\u002fewJCxfRt1vK2cv5l7bnuBcF0EX8Db5bWRInmYky8cz3f+fAU+v3KWCi2T4w3+87uZzHx0gWuuZ4FL9DZA0lzvVcxP7r\\u002fOInn2KbQVH23mnu9b5rpL8qTj7aQLxnHb3dfgD3pdx1sL4ZrurQxN15Ik\\u002f9lDNzBsfP+MmtyOePt0wRblXa+NdnzHWzsgSfILx3HbXV9QY\\u002fIGJHcdb82Fq9FbEbYmL+tVwk8fuIFjxvbLMoVmousaKxdsVo63WluTd+2GqlkkP\\u002fH8sdz6ty8QKPRnMNfdiLcjgavRWwm6LoiG45T1KuKnD1zPsPGNOd40Vi\\u002fayj232ZrcJbmua9RVhzjx\\u002fLH84N5rCGYluet4OxK4RG8FKMdbnPKexdzx4I0MH9\\u002ffmifPPCZf8\\u002fE27r71OeqqIyoYxvWuU1sV5vjzxnLrXV\\u002fAH\\u002fQlC4DYcCPeWgaX6C2EHQxT1rOIn9x3XXIKTXdmoTnKK61evI2\\u002ffe9ZaqvCqkF38Yaq6Rp1VWGmnDWK2+66hoKiQDLt1Q7GcVNNWw6X6C2A0AThuhhlPYr42YM3MvzYAckVS5M50bI+CWTtku3cfcuz1FVF8AV8Xd5cF5qgtjLE5DNH8oN7r6GgyG+V19aSHnV73tx1vLUMrjPuCCEEJGIGvQeU8eN\\u002fXcfQsX2TNdZSD1ROulULt3DP95+ntiqML+iSXAhBPJrghPPHcvvfv6hKQUvQNOv9WR2l0NRxT\\u002fzlDdfx1gK4RG8JrGSYJ\\u002f4yh2g41qBohA1NE+zacoDayojrXbdg57UfrKjmj998kng0kfH9CU0QC8fZunYPhSWu4+1I4RL9CCGlSs88tLeaiu2HspLchi\\u002fgxRvoWKmmRxtCE2xbuwfDMBuUz0o\\u002fLhD0tXmGYWeGS\\u002fQWQErweHW8vqZfo5R0iuV3Wxv+oI9GOJ6E20G2DC7RWwjlEHYb4ZFCys6xLHFHh+t1d+GiC8AlugsXXQAu0V246AJwie7CRRdAp3XGCS19YZ7MSHemCSGa9AJLGnrQczkv0\\u002f00TWBVp2ze\\u002fXJ4vpbI2bxr0uj0mBNO73lOz3AE3+dIz+vMjtVOSXQhVCaZkTCaPNbr81gLAKi\\u002fY5E4iSbO0zQNv7UiiY1YNI6RaDoQRk3H6djh26HaqCJOI41Q13V8gdRPFQ3Fmpxy0nQNn7\\u002f+PCFylzMbhBD4At4kaYQAI2ESjcSbPFfTNLVskhVoFK2LN0ksXdfwOp4hFo1jxM1G3xcSPD417WnXl4vHEiTijX9X3aO+TWdEpyO6ZsWfn3rZsQyf0J+Y1QBlGpdMU+IPePj43XWsW7oDf9BHPJbgpIvGM3x8fxKJBMhURSs0lT216dOdLHtvQ\\u002fLvRNxg3PFDGTC8J4m4kXE1VGmq2vGbV+1i06e78Po8+AMeLv\\u002f6KZR1L8JIGEpbWnJKQBNqHbGV8zez\\u002fMNN6F4VAy4EnHbZRMp7FSdXNZXI+ucTAk3X2LJqF+uWbMfj84CAWDjOsScPY8jYvslGrxYldN5PJLc79wkh8Hh19u08xNL3NoIVkx6NJBg4vCenf35iyoKVqQ+vQoMPVVTz\\u002fmsriEbiBAv8nHbZsRSWWlVh0p7Bjm\\u002ffuGInG1fsxOvTiccSTDptBEPH9CEeNRC6SL4jO6dALaXsYd3SHaxZvJVAoZ9YJE6\\u002foT049pRhaJpAmupezjaDhLVLt7NtbQUer97pNHunI7rQ1HJHJ10wlhMvGNfk8XV1EVbM30ywyI+RMDnh\\u002fDGccvGEJs+78+an+fiddRQU+UmEDM6+ejKnf35ik+fNmPYRny7Ygq+7ipQ7\\u002f0vH0613caPnnP+lqfz8i\\u002f9m65rdyVVKL\\u002f\\u002fGqQwZ3afR82LRBHdc8xCfbdhLoNBPJBTj5IvHc841U5qUszHcfetzfPT6KopKg8SjCfoO6cEV3zytyfMOVFSxYM4awnVRgkU+rr3lbHr0LW30nKqDdfy\\u002f6\\u002f7D\\u002fl2VGAmTs78wmZMubPq7znxsAUvnridQ6KegOMAP7r2WwaN6NynfL697hEN7qyxroMnb5A06HdHBNlETqoc3TA7treZgRbVKOLE+nmGqKi97dxxG99T34HHrPCkllQdqqTlUh9DUAn7de5dQWBxA6BqDRvRi8Vtrk\\u002feMxxJIS6OE66LUHA6h6fUripqGicerc2hfTX3ii3SY4KakYudh6qrC6B61nPOAYT3x+nS8fg8l3QtTTO5YNI605Nz72WGikbgaK2savQeU4\\u002fN78Pk99B5Yzra1FUrriVQ5aypDHN5Xje7RMQyTnn3LKCwJAFB1sJbKA7UIXUOaku59Siko8qHpGr0GlDteNpgJUz2DlETDcbatq0jRiHYBiT3bD2IkbItHWRjSlBiGyf5dldYzCDRN0HtgubJ6gl5KuxewZ\\u002ftBdF1j+\\u002foKevUvIx43CBb66H9MT3RdIx432LVlP7FwHN2rs2fbAbx+D\\u002fFYgj6DutG9T0nyuSs+O0S4JmoVBREMGN4Tr1envEcxZT2K2LfzMF5fqzfLo4pOSXQg2WA0TeeNpxfz7N\\u002ffpqxHUYPxqaZpBAt8lrkpk+eBYPYTC3ht2nwKigNEwzG++bvPc9aVxwE0yKCyTU1dE3wwfQXP3Ps2JWUFGI6caU3TiNRFKSwJYhjKdBaaZTpqgif\\u002fMocFc1ZTXBYkGo7zl1e+zdAxfZVZm8mppgkEgvt\\u002f8V82rtiFx6cTLPDzy0e+wqBRvZMNO5ucc19exuN3vkG3PqVUH6rj+3dfw6mXKmvm7ZeW8vw\\u002f3qWwJEgkFOU7f7oyabE0MM0FyXe2d+dhfnXjNOKxBJqWOvTRNI1A0Fc\\u002ftBFWdloowX13vMLmVbvRvTpFJQF+8\\u002fjX6DO4G9KQmIbq0Lx+L68+PI\\u002fp\\u002f55HNBxj0Kg+\\u002fPapr1HarZDqg3X89TvPWCRVPoTCkgCxiPIDmIap8hFMk3\\u002f\\u002fZgYrPtxEsMiPx6tz76xb6N6nBDNudtow5U5LdOcKIqZhJp0xTqILTY07s8E0JPGYQSJmEI8ZqY2gEWdQNBTj8L4aTMNMXbRRKkIk863TkIgbxKIJ4tZPUis24S024ibxmOo4DK+R83mmaT1f3Ho+ByvVsyesfbkTQFhpuZqupRJd2jMMmc9LxE0SMRMpJYm4mfUZdI9AaBoew5P67YRydHq8arspszschRAIXVieeJFyjc6KTkt0oYukCX7ihePo2b8Uf8AqUSSUV3bb2grefWkZiYRBpokeIYTVaEVyQcFc7+3x6ng8eoNpJ5mJ4RZ69C1l4PCeFJUGiUUSqpZ5DvwSmkNGvXmtVdPqfxruE1n3ZUN5z2K+8pMLlMVjiaIWs9Q4sKead15aSjyWaPC2RVIO0ej9pOWxtJ2Fqfsc263CFS4UOiXRhaapMbJlTo6ePIjRkwdlPDZSF2POcx9TXFZAOpMTCYNYJI7P6yEWiWPkWvBApjW6BgI2\\u002fEOakm\\u002f9\\u002fvMNL5VWOy0T4rGEMlHN+tVhc4U9zZfplMb2Zb6WpKRbIZd89aSM+w9WVPHB9BWEZKTBu0Y2\\u002f34tQue00LOi0xHdNCSFxX5mPTaf4tIg3fuVKrNTzRFhGAYDhvWiuCyIrmv0HFBmtbl07QCX\\u002fM9JnHTReHRNWQd9BndrM00hUXP4ZsIkUKg8Qfb8r70GeMbzpOS7f76KSF1UaXZNo+\\u002fgHsnz2xuRUIyta\\u002fakDgOsuuxOZ5yL9kWnI7pat1tVLrnnhy\\u002fgHKqpxQFC3PHgjZx55SQge56zlJJe\\u002fcvp1b88dXva2l+ZIKx5bE3XGiiO9LGuTYhYJM60389i\\u002fSc7OP+645NacdvaCp65920+27SPQIG3oYaXNDlt1F4QQlCx4xC\\u002fvnEasZiRHKMn5+mtAhKZ4gzaE7afxP7pCuh0RAdLE8YT9Q4gi252gEsuGlnT1KKH65d9hs\\u002fvIZEw+NxZoxgypm+T58aicWorQ+i6luaMk3j9HvyBhnM30pRsW1fB+k8+IxE3OfPKSRSWBBkwvCd7th2k6mAdgaAXw5Ap4gtN8OGMFVRsP4zuUQ331EsnNDk\\u002f3VYQlkz22N7pUxONOOPaE6FaNf2ZiBt4vXp959uJzflOR3RNE9TVRLn4yycy\\u002fsShREP1tdyEJojHDEZPHqTKF9EwtlnK+impRW+u4aX736eoOEA4HKeorIBBo\\u002fokj6s\\u002fR3Uu9nTW8eeOoVvvEmtF1PposWCRn\\u002fmzPmXerE8JWIEv9jnSVJ1AWXc1j7tg9mrO\\u002feLnKCgOcO61U3jqrjcJFvrA8hM4p87mPL2YJXPXq3JVPp3hE\\u002frTrXdJvVMqy\\u002fM19uzN2We\\u002fX9OUdOtdwnfvvAppmklVLq2Q1L07DjFj2kfKGSdEMpItk1XV2L7mHmd38PYx3\\u002fztZdRVhdF0DSEExeUFVh35ozPcaQ90OqKrYoIxppw1kslnjGzyeK\\u002fPk0IGX8CbXOerqLSAkm6FFBUH8IbjFJUGk\\u002fvs84QQGAmDiu0Hk\\u002fPTg0f3YXCWqLWDFVW8+9IygoV+EOAv8CmT1hqX2\\u002fPuH85YybnXfg4EnHLJBGY\\u002fuYhQXTS5rrp9HkBxuZLTH\\u002fDi8ekUlgSSjkjNUZVWSonP7015huTa4jL12Rt7L859ukej8kAtRsJE92gUlxdw+uePzfjsByqqmP3kIqSMIIQgWKieoaDIn7K2mhBk3eeEcOwPFvozklTTNWoOhYjHDCteQVexCRkQqolRWxNusHZ9Z0CnI7qUEl\\u002fAy8qPNiMEhOtiDRqK0JT2DRT42bF+L7pXQ5rKGli9aJsisCbYvr5ClXVOmCAlqxdtRddV1Nr2deo80zApKPLz5nMf4\\u002fHq9D+mJ4l4ooHn2Nbo65fuwBdQCTHxSIJZjy2grEchkXCcw\\u002ftqEZrA6\\u002fOwYflnPHbnbMp6FGMYBsEiP7XVYXRdBwkfv7WWnZv2g5QcrKgC1MKNMgYfv7OWiu0HiccNDu6pQrei23x+L+uWbVck0jU2r9qdXA7K69VYtXArZkItI7V1zR50r57xvezYoJ7dMEwCQR+bV+3i\\u002fp\\u002f\\u002fl+NOG5Gi+eu\\u002fSb1Gj8cTaJpGLBLjo9dX0bNvqTKlK8OWZaCsro9eX0WPvqWEaiJUH1bDoORVpQq+CVVHeP\\u002fV5RSXFXD4QA2RUDx1MUZTqmjEvdU88vuZnH75REBYpnq9jLbGnzdzJXt3HMLr91rTsJ2H8B36SaSUQgghrf\\u002fPAi4GDEC3nVIHK6r59ZcfYd\\u002fOypRspWg4phI3sqWAWtu9VqhoavaaIrbP0pB2m4hFEyRiCRACn9+Tss80Vfhno06m5P28yVppsUgs2aicWhMgGrYz1AT+YOq+iCN7zR\\u002f0ojucStFwLDkV6A96k6G\\u002fQgiikbh6L2myCAHRcP2zN+e9AEQjTWfFaZpIFoOUVrisaSqfg9NCkdJ6dqs6rHNfyus0JZFwzHJQagQKvJnJKSAWsb5dI\\u002fB49WQnDPXva8Cwnvz99VusIVpytwHowBNCiK9KKXUhRNPpkkcJnU6jg2pE\\u002fgIfgRx6ZDte3IbzvAb7gt6UsXVKXrkuKCz2N5wfbuR+ykT1J\\u002fela8LG9hUU1d9LmmZKX6aGBQ33SSmzPoOUTTx7I\\u002fsAggW+Jp8dh7YXQqQ8g2mayY5DCLLuc0JogsKSYINrN7xv6rfLLp50Q2A7MpJx3471uqCh0yjzyQ0dMM7wy2btUwc0637Oo9MDY5rcJ+uZ4RSlsX1NPkNbPnvaczjPSZ8NaWxfRplo+I4aOzYX+ZLtqhOY8HlPdCklsUhcZYElzNzI7cJFDrBN91gORTU6OvKX6FYvW1QW5H9+fjGRUEOnmwsXLYVpmBQUq+FBPiv2vCW6\\u002fdIDQV9OhQhcuOjKyFuiOyHNxnLCXLhoGZJRfXmMTkH0XCu+uuggyLVXdj9qq6FTEN3W6PVR7Q1h78u1XLA9v0sO10wJ0pBSJdLk0kilmv9N8ZhLdY3GnqW1IABTOqvqZBJRpiSmtPiezSBvevdtV4pp3x5AtawG697nGToF0Z0avbEm0JzmkRKS2Yxrquolud6l4ZWdNdLboznrdj68zBwJ5uwYj7aCFUKgezpnOea2Rt4S3W6YNZUhnr33baoO1qlGkG16TQjisTjnXP05Pnf2qIwFHezIp1g0waN\\u002fmKVCLz2Zyz5JVBx1uDbCZf97MhNOGgbAkrnrmfvKsgax4g3E0QSRuijXfO8sjhnXj0TCxOPR2LhiJy\\u002ff\\u002fz7+oLdtpwqtgMFAgZfTPj+RY08alkJ2+\\u002f1M\\u002f\\u002fc81izZ1mrrkyfiRuPT7Q7T4ervnsmw8f0wDFXIc8ua3bz++MJ2K8essiANuvUq5obbz0uPjMsr5C3RbVs9Goqz6M01VOw4jNfvydoAFLFijJw0SBFdygamoWlKdF2wYPYqXnt0Pl6vJ2vpJ00IYrEEPfuW0ftX3ZIk+WzjPt5+YSnBQn+jUVaarlFzuI6zvnAcx4zrlzz2wJ5K5r7yCYUlfox2iNKSUvLBqyu45W9f4NRLj00S3H4\\u002fqxdv5b1Xl1NUEmgVeZoMPnEQ\\u002fZwvTknKCLB3xyFmPjYfX8CHbKQmXGtBCI1oJMagEb254fbz2vx+bYn8JboFoQkKS4OUlEfVQgXZenpN4POp2O5MkFKiaarc89svLqWg0E+w2I+Zlv8Nqh3quqCuOsJlXzuZXgPKScQSeHwefAEvpd0KCRT4miS6poHHm\\u002foJPF4PJeUFBIsb7yhaA7Z\\u002fIVwb5am73mLc8UMp71mcct9goZ+S8gIKigOtIk+TV3AQ3ZNmpnt9Hsp6FOELtLG1Y4siBNGIj5Lygja\\u002fV1sj74kOJKutakb2yDghhcruylqSSTX6TxduYe3H2wgU+EjEsucoJGIm3XqXcPbVky3G1Ju8hiVPY8SQqKWMMuV9G4aJaZhN5mK3BkwDAoU+KrYfZPXH2zj1kgkpfaVptq88TqJnfDcJM+N7axNRhFD3M9reemhrdAqitwbsjKrZTy0kQ72GFGi6RqgmwuU3nZrUgEcrHjq5SGM2NJbsYR9iqvJbuzbvB47cw27HhrcIjpu39JU2WiYqh\\u002ffSmeASHZUdpWkaqz\\u002fexqqF2\\u002fAHPVm1sV2wsUe\\u002fMs6+enJ9Jlp7CmxDqrJIpmE2YIVAdVy6VycQ9OZUWTXeRBpnYxACEvFE\\u002fWKLR8ohDbAUaCJ+5JpUmpK6unDm57bqCgaCvqM\\u002fldBOcIkOyWKFbz+\\u002fhHBdlOLSYFZzTWhqKaFTrh9P70HdMA212KDMtRR0K0FKVd3l2JOHUVgSsEpjpc7ne30eDlZUsXn17qyzB60BIQTxaIJBI3tx3OkjFLlagUB9B3dPXr85sNOUJ5x0jLWYQ73jVUq14GNdVYRNq3ZhJppYmbWToMsT3fYyb9+wl4\\u002ffXktBkT\\u002f7mEyocXVp90IuvOEEtekohEYKITANA5\\u002fPx02\\u002fvISBI3plPXbJ3PX86etP4i32Y7bRuFZogmg0zrAJ\\u002fbnhR+e3\\u002fvWbQXR7ddvyHkX88O\\u002fXEnDk9DuxY8NefvvVxwjVRtGttfUyXavBai55CpfoqA59zlOLqKuOUFgSyDp20zSN2uoQZ151HH2HdE\\u002fWKz+asB1T0lTWRnK7IVU9+hashd4c2EMaJU\\u002frzDdr+pGTTKJKgCUj+6zL2N8sHjeIRePEonFVpioL0WPReIuGNB0FXZro0lqeac\\u002fWAyx6cw3+oK+xeBuMuEFJt0IuuO749hW0EdRH0qXGBQhku5dXVpFrWocJLBFY78ZhumuaivTrN7g7P3\\u002f4yxn9G05I08QftBfUaA+p2wZdlui2JhdCMPe\\u002fyzmwt5qS8oKsdc+EEETCUU65ZAJDRvex5t070JcXpJK6A4nmhOpIcxtCtNhkdsZFp4XxBov8jPnc4JZdP4\\u002fQ5YienOeOm+DVqD0Y4v3py9XSydkcakKZfAVFfi688QQr8SS\\u002fe\\u002fijBfXO2ufF2fEVGeP4ZdOlpeqXpnbTVPMKdgFEXdeSVVPnvryMfTsPU1jc+Ni8rjrM6Z+fqMJVO5o2zyPEognLXKZxxS5IqUHfXGiayLhwZnORLdkn39B1iC7B49FYs3grXp+OafX0776yTC3L08ippiEJBH1cdOMJaJpQVUk7qm3cQWFPQz76p9msW7qdYJEfmWl2Q2DVY\\u002fdw068uZeiYPiqmoRmEF5qgribCG08vtpKDaPbnkqak75DujJ06pHkndlB0GaJLqYr5z5+9ig9nrkyabr6AVyXDZNPmVkz7ieePY\\u002fSUwZY2z+\\u002fc5KOJXZv3s+GTzygqDVq55akQQnWsXr+HSF202deXUqLrGtWH6vj372YeeeyAULH2X7z1LK781unYi1fkK7oM0W14fR68DseMPf2SCUIIpKFWOLnwRjVvLk2akW\\u002fuIh1enwd\\u002f0Isv6G2S6OnEEs3oYIUQTdZxb+r8RNzg+X+8y4STjmHExIEdYjr1SNHlVJNdpD+5uGFjOeMCwqEYY6cOYeLJVr52J1yXqz3hfP9N\\u002faSje6\\u002fiZpUNy\\u002fU+mX7UMlU6sViC+bNXAfk9WOtyRHcu9tBkwX9UmGn14TqqD9epDW7d+HaHFSZA36E9GDyyN5FwHN2rq3XOj\\u002fAnFwebaYXLbl+\\u002f1xKkbZ+zLdHliJ6IG0TDcWLhpgvzS1PiD\\u002frYtHIX82Z9mizI4KKdIQSmNAkU+Lj6e2eCgNrKMJFQjHDdkfxErXX5cri3VMVN8h1daowupaS0eyFFZQVIU82xHqqobjRdUZHdy5vPLOasq44jWJA5dtpF20Kz4tFPOG8sP\\u002f7Xl3j9iYVEQjEr8i3360hU5trhvdVUHqhD6yJDsS5DdKEJYqEEF1x\\u002fAhfdeDyxSAIEPPj\\u002fprP47bUUFAWsabNUqDXFPezYuI8Ppq\\u002fgguuPT04VuWhf2KQ+4byxnHDeWKWVmwkpJR6PztP3vMVL971HUVlBRqdgZ0OXaq0SSaDQR0FxgJLuhZT1KOKiL5+YU7FBTdd46zmVxio0zR2qHy1YUYr2dGlzf7xeHaFlL2\\u002fdWdGliA5q6kZKiWmqUk\\u002fHnjyMcccPVWZglo9vmpJAgY8tq3azYPbqZDUaF0cHtjPNDkVuzo9p0vYF8zsguhzR7WwvzSo2IQRccP3xyi\\u002fTSAOQUqJ5NWY\\u002fvYhoJO6SvQNAiCP7yWfv+ZGiyxHdCWE5eCafOZKRxw0kEs6+IqvtlNuyejcL31iTrErjoh7SqsOW9ccwW6ZNpTU3Llvjp9UeOy+QT0RvvuelCQgrrtrn93DutZ9rspyxrfXnPLOYWCTukt0BKcFjzW3resN5a49XVyWuPS3wbwjlVHVWfmnuj6ZrKm++9bzteVGVIp+87rG2uKg9Lj\\u002f54vHMfGw+n23ap+qGZyC9aUqChT7Wf7KdJXPXc\\u002fJF4zENs8tHy6nOUmfH+r1M\\u002f888VT8v7ZWYUuIPeNm\\u002f8zBev35ENeKj4Th1VWGlnuQRVp6RJrquE6qJtlZWWvMD8o8COjzRpZRCCCEBO2qhVVWoECLpbDv7mik88ruZ+APexm8i4I2nFnHCuWPRPKLLmYHpUFOQXras2cOaJdszHmMVeiFY6Mfnb94CDNI0QdNZ9v4GHv\\u002fz7JYt4GAlp9RVRwgU+FoytWb3Ei7RWwohhJQy2XW3WXiS3bGf\\u002fvmJvP7EQg7srsTry7y8k2lKAkE\\u002fa5ZsZ9n765l67phOPQ+ba8aWXXXWH8i8Eo66GMn04CNBuC7Knu0HCRS0bBUbicpwa6VYiDaxNFsb+TBGt1taqM1uIATSlJSUF3DWVccRiyQab+DWXO7rTy6sX6usrYQ7yijrWZTznLO9ykzWH6tw5JFC04VKKw54WvTjC3hbcxnk2ta6UFsiH4huy3jY+t2gqdhTZrn8ZIU1XXbmlcfRq38Z8Vgiq+NHSklBoZ\\u002fVi7fyyYcbk+ms9fLk7hzKKEoLzz\\u002fS6znH1fa1jzt1BNAyB9iR\\u002fjSAnVTUGj+kTrk1OSWXHQdz+ghHGR3adLdgv+aqbAcYhsRIGGiNJJ0ITWAkjOz7haoc07NfKadcOp6XH\\u002fgga3EEAHSIRRLMfHQ+x548LOmQk6YkETfU8sCNLbJoHZdpfbF4PEEi7skYkqtk1TASiYznpyOX62maRjyeSK2ZZ3V8408aypQzR7LgjdUUlgSaVdzxSCCsfPRMCURSWt\\u002fayJzG2uqyWPfLWktQ4YAtXpsL1ALkA9HtF1hp\\u002fU4p+yCEIGiFtWYbV4MiuqZrat3yLLC1yPnXHc+C2auJhOMq6SHLJwwW+tn06S7WL9vBuBOGAqjVVLsXqhJGjQzdNV1N8XjTVlP1+jyU9yymoMiXPdlGqHrtwUK\\u002fWhO+EeRyPaEJfEEvwcL6Qg225eL1efjuX67CF\\u002fSyftkONa5tS++jAGmAx6dCVp3QdQ1\\u002f0Gu923YguqY8iF5\\u002fxjZjK6C80Ogdfl5ISqkLIQwp5TXAC\\u002fZmLNkTCYOK7Ycw4kajNpZAjau79S6mpFthk\\u002ffds\\u002f0g0XC8UfNYCGvllh5FdOtVDECoJkJNZbgpcy8pT1nPYvxBb\\u002fKJYpE41YfqrEaW\\u002fXyJCgUt7V7YKNlzup4VTxAsClBYEsh6rcoDtSRiRpPP1ioQUNKtUHXM1rupPlRHxY5DluXWDiJYvphggZ+BIxushmO3wWOFEJ9KKTUhRIf1yuYT0U8B3gV8OIjeNvd0Szk7kVxI0n0pNuz2VwuMEkLs7uhEzwfT3X55u1Evtlv6Ac0y44RoWtvacey5XtZ5Tammb3IXp6EwzZl+yoV8uV5PIDJ2n\\u002fY92jsKMP3ZpDw6+QWCBtOMNtF3AnWObR0W+UB0G7tRL7UbaRq9Lapzpnuhcz+RlKWRjvjerYjWut7R1uj27EoHgE3qXdQTvUOjwxPdDpoRQkSllHuAgZmO6wgx5001wo4go4vmI8N3tT\\u002fkTiFEoqOb7ZAHRLcgUC93NZBxhcMO0tM3inyQ0UWzsNH6rVE\\u002fxOyQyBei2\\u002fjU+q1mc63lcnbtqWDmW++16o00TeDxeJokpxCCcCTKlAljmXrcsZhSojnOsWuBb\\u002ftsF7Pefg+vxwN0vTTJfIMQAsMwKCku5oqLz6UwGLTbm0RN8Upgw1EWM2fkC9Ft5qxK2WgRKhgM8PEnKwlHo627ikoOZNQ0QV04TCgUYsrE8aqIIc7hvfpL1zRWrF5HXSiErjddusrF0YUmNELhMBPHjsbvs5dNrncLoRzDNtE7tDaH\\u002fCG6DdvLWYjDIVdeWsrQwQPZtHU7Pq8Xs5VIlJOhLQRer5ede\\u002fYSCocpKixMmZ+zA0\\u002f69enFwH592LRlO4FA5kKULjoOdE0jYRgMHTwAj65jmCa6UiJ2uztMvene4XvtfCG6zYrPUL3ocdY23TbfBw\\u002fox5oNm\\u002fB6W5DCmIacrmLd\\u002f9DhSvbuP6iI7oAdWqvrOgP69mH95q1I88gzuFy0DwzTxOv1MLB\\u002fXyBjp79KCBHKB0cc5EdSi+1514UQtcAaa3NynA5wzOCBR3Xca0rJpq07cMpkwzb5RhwzBE1oHb\\u002f7d4FpSnxeL8OHDAZSzHb7882zfueFhzUviG7BfqFLrN9KdusDDBnUnx7dykgkEu3u3ba19uZtmYsu2Bg2dBA+X+tZHC7aBsoRl6Bv71706dUjuc3ebf1edDRkO1LkE9Ft82gBVqg3IO1qrn169qR3rx7E4+1PdHsp5d0V+whHoslVRWzY8vTsVs7QwQOJxeJdrq54PkEIQSwWZ9zIYenf0kS1u73k0fgc8ovo9gtdAexI2WERbcTQIbY9396y4fN62XvgIDt37yGTCKYp8Xg8jBo2lISRQBOqSKGmackf3f7R034cx2iahtbMfHQXzYO9msvwoYOTf1uwlc0nwGdSSo08IXq+OOOcEXIRKeXbwE1YDjm7wU+eMJbX33m\\u002f3d+8lBJd06iurWXrjl2MOGYIDfNu1N+jhg3B7\\u002fMTjkRVeWRpWumj9ty6+m3HywvsOHqriqlVDEMTqhSSrmkphLf\\u002f67yWi9whhCAej9OrR3eGDhqQ3GbBVozzHH4jtwpsG0BHldd9D0X0FAzq35dB\\u002ffuyY+dufD5vo4sntjYk4PV42bBlK+efeUqD+Xz77xFDhzBs8EBCkQilJcUUBAME\\u002fH48uo7u0fF6PGiahkdXqaeGaRJPJEgkEsTjCcKRCJFIlLpwmJraOqpraonF4yAlplWzHMCj63g8HnRrXl869rnIDgEYhskxQwZRXlaKaZrOb2lr8Detv1u9BHlbId+IbptOi4FDWAkuQghhmiY+n4\\u002fxo0eycet2K8ih7Ru2agRqiScErFyznuqaWkqKizIeHwj4+eHNX0MI1TF4migckQmGYZBIGMTicWLxONU1tew7cIh9Bw5Qse8A+w4cpKq6hsrqaqpr61TH4dHx6HpyuGB3DC5SIVFW0fHHHas2pHrbBbAJNXzMK+QV0YUQpjUu2ggsA84lzXw\\u002fduxo3nx\\u002fHgnDaOAUa0U5koEwoXAYEAT9Pvr36c3oEcc0SaCCYGpxB6eM9v\\u002ftLVbYTbK9CSHQdR1d1\\u002fH7VcRW9\\u002fKypJlp43BVNfsPHmLvvgNs+2wXm7fvYO++A0SiUULhCB6Pjt\\u002fnSz5HuhxdEXbYa4\\u002fu3Rg1\\u002fBi1rX63geLLdCFELF\\u002fmz23kFdEtCIvwr6KILqyNAIwaNoTB\\u002ffupKDmfL\\u002ftVjuzG1hguQTwex+\\u002f3MXbUCMaMOIbjxo9lQN8+OWnoekKJBqmXOeWXq4tk2Kb+EUJQXlpCeWkJI48Zwmknfg7DNKmqrmHjlm2s3biFrTs+Y8fOPcTiMTVssEz9rqzphRCEo1FOGzOK4sKCZC4F6s3qqJLjb1iHd\\u002fhEFifykeh2K5wF\\u002fAVHOKydUHLS1ONYt2kLftE6SybZBI\\u002fF4sQTcXr16MHUSeM5fvJEhg4cgO6oD+5oHI1er0XyqItk2Jb8J2VMLoSKte9WVsoJkydywuSJhCMRdlfsY83GzaxYvY7de\\u002fZSVVODrmn4\\u002ff5kumBX0vKmaVIQCDB10gQgJZLZRBF9AzDfOjxvxueQh0R3mO+foUpLXYb9IaxR1KRxY+heXkZtXajFSS6aphFPKA0+oG9vzjj5BE6cMony0pLkMYZpdrgpr0yyOMkfDAQYNmQQw4YM4rLzzmLn7gpWrFnPitVr2bRtB7FYDF2zhgddQMsLIYjGYow8ZghjRw4DZKZYhzeEEGG7vNlREPOIkXdEt6BZCf+vAJdiqTFNUxFqPbqVc9yEsbz9wXwKCwqOKIHEJkldKESPbuVccOapnHHyCRQWBAGLNNaN9RZ0Js3yhgtn7ZqmS2I1PL2e\\u002fPaKovY1BvTrw4B+fTj\\u002fzFPYXbGPBUs+YfnqtezasxcAv8+X9Hl0Ri2vxucmp580FU3TrHTj5G4NZbY\\u002faf2ddy+gY6ifZsJej01KWYoqRtEfK2rJNp237tjJn\\u002f7+wBF9EU3TiMViCKFx2omf4+JzzkiGQpqmmbPmzsWMbwlMx2IEqZ1A84cHNoGdFlBdKMSqdRv5aPEy1m3cTF04jM\\u002frTSYOdRbC236Xnt3L+eXt36WkqMj57RIohfgmcDHWuNzKS88b5KVGt0iuCSGqpJQvA7di9bJ2Ax86aADjRo9k6YpPCQaDOWt1TVN5yH179eJLV1zClInjgHqCNzUUkJaZq+XQGZimScW+A4QjEWKxGLF4HFNKdE1H0+zlfe1oOR2v10PQHyAQ8BMI+PDonqzlam05BEKtONPEc9fPJIAKtJEUFhQkx\\u002fRbd+zko8XLWLpyFfsOHMTr8eL1elTZ6jwnvBCCeCLBiVMmUVJUlD53br+6561qxJ58CZJxIi81OqSUgZ6CcpDYq\\u002fsJ+0OtXLuBex6chlfXm9TsNilD4TAnTJ7EV669grKS4pxKHTvNeOdxsXgcnzfzooOmVWX2vmlP8cmqNcqKiMeTUXZCaAhBSuirPSXm83nxe70EgwG6lZXRo1s5Pbt3o1\\u002ffXnQrLaUgGMTnS71v\\u002fRRa7kUWM2n5A4cOs2T5Kt5fsJiduysQQhDw+\\u002fLWcSdQPpbiokJ+8+NbKS8tSXfCaag6CBOEEJWO1X3zCnmp0QEskmuouOM3UWP1BOCx54bHjxzOuFEjWLl6HcGgP\\u002ftKJUJgSpN4LM7lF57D1ZdelBzvN6bBnUSwabO7Yh9rN25m87Yd7D94iO\\u002fddCOlxcUNa8VL5VOYetwEFn2ygoJgMFnJxD7A5o1hmhiGQSwWo7YuhDTVfe0gHVsbCyEoLiykT68e9O3di4H9VKTgoAF9KQgGrWdV18xlCNJwTC\\u002fp0a2cC88+jTNPPp5Fn6xg7vzFbN66HSFEUv58IrymadSFI1x6\\u002ftkWyVOGW\\u002faDPGKRPO+ccDbylugWhEX4B1FE162NioC6xkVnn8bqdRuzxnzbx5qGyY1XX875Z56a1E7ZSO7U8kII9h88xKdrN7Bo6Qp27qmgqqZGrRNmGixZsZpzTj0RiUwpA223pUnjxzCofz\\u002f2VOzD4224pFTSSrBO0B3b1bbUePZwJMLGLdtYs34TCEFRYQHFRYUM7N+X8aNHMnzIQPr27pXSqWTS3Jnek\\u002f2uJCrC74yTjufEKZNYsmIV736wgA1bt6EJDb\\u002fflxdjeCEEsXic3j27c8ZJU9PltTMkDwCPObblJfLWdHdCSqmj0lenUm9uJT3Lf3\\u002f4MZZ9uoaCYOYSTvFYnK9+6SrOPvXEBsUd0+HU8jt27ea9jxaxdOVqDhw6rIJOrMATTROEwhFGDR\\u002fKT7\\u002f3zaRn3qlB7WvNevs9nn1lJgUFufsSGoNTExuGgWGYmJZVEAj4GTygHyOOGcrEcaMYPnRwyvDCNGXOpr3zXcTjCT5evpI5733E5m071Dppvo5NeE3TqAuF+MIlF3DVJecnC3laMFD96sNCiG\\u002flszaHTkB0x1j9euAp6oMbkmbYpq3bufP\\u002fHm6w1pIQqoLrl664mEvPO0uZsw4zPO0+yca\\u002fZ99+5rz7IQuWLqe2rg6fz4fXU6+N7WPtRv6T736DUcOHNhgK2Mcdrqrmt3f9i6rqajye7AtFHgmcwTW2TJFoFNOUBPw+enbvxqTxYzhuwlhGDRuaIpu0hheNQaJWyrGPiycSfLjwY956fz47du3B5\\u002fXg9Xo7XI08IQSJRIJuZWX8+se3UFJUmMlsjwKThRBr8y3kNR2dgej2M\\u002fhQTrlkPTlrP0IIHn3uZd75YEFSa6rePMznzz+bL15xcaPjcVvLG4bJ2x\\u002fMZ+ZbczlUWUkgEFDZYVm0lqZp1IZCnHPqSdx0\\u002fdUZp9vsbc9Pn81rc94+4nn\\u002f5kCRUiS1fDQWo7CggCED+zP1uGOZOnE85WWlSflyceBJpEV49Q5r6+r4YMHHvPXBfPYdOEjA70fX9Q5DeE0IQpEI\\u002f\\u002fulL3DOaSelfxtbmz8khPh2vpMcOgHRIUWrXws8jyMZ3DZFDxw8xG\\u002fvvo9QOIzX66UuFGbSuFHc9s3\\u002fSaaEZmrIdgewd\\u002f8BnnxxOp+sWovf58Xjyb7eeJps+Lw+fvPj79G7Z48GZE\\u002fKd+gwv7v7vnYvB22b+aZpEo3FkBK6lZYweeI4Tpw8idEjjnHI2rhzMtNxhyqreOPdD\\u002flgwWJq60IEAn7L0Xn0zHk7Cm74kEH87JZvJZeutr6L\\u002fVFrUYuFbEAFaOWt2Q75VWGmMdhhsdOBhVizJoC1xK6kZ4\\u002fuXHLuGcTjKre7Z49yvvrFq6wFFbKRXGmoNRs28Zf7\\u002fs3y1WspLAg2SzPpuk51bS1zP1IlxtKbd1K+7t045fjJRGOxdg2jtb33Agj6\\u002fRQE\\u002fNSGw7z53kfc9cAj3HX\\u002ff1i6chXxRCJJXrOJKrZ2BJ1pSrqVlXL9VZfy8+\\u002ffzMnHT8YwTMKRqIpJOIrhwkIILr\\u002fwPKuGX4PijxrwuBBiPZ2A5NBJNDqkaPULgZlYDmsczxiPJ\\u002fjLvx7m07Ub+OHNX+OE447NqqXs7R+v+JSHn3yeeCyOz+drtulpjwXLy0r41e3fo6ykwRRO0vw4VFnJb+\\u002f6FzW1dUd1kQcBCE1TU3rxOAIYNfwYzjhpKidMmZTsHNUUndZoKG66R3\\u002f1+o3MeHMuazZsQiDa3UOvaRp1dSHOPOUEvn7DNemzDSbq8StQjt3dkH9RcJnQaYgOYI+lrGi5q6gfa1EfRLOeeYuW8p3\\u002fuT5riGqS5Ms\\u002f5YHHngFoEfFs7+61l1\\u002fM5Reck9Gzb8syY867PDd9VruM1XOB\\u002fX4i0SiaEAwa0I+zTz2REydPImjl1edi0junJKWULFjyCbPefp9tO3bi87VPWG3SAVdexi9\\u002f8F3KSouzjc1\\u002fKIS4N9897U50OqKjFOQ4lAkfJE2rm9aceba8cbvRrtu0hXsefJREIoFH11sU5mk3sLLSEn59+y2UlhQltztkB6AuFOb3997P3n37W3UxipbCNsdj8TiJRIIhA\\u002ftz7uknc9LnJhOwCmA0NTUJqZ1CXSjMR4uX8vYH89lVsRe\\u002fz5ecdWiL5xZCEIlGufXrX2HqpAnpJLenZVcCJwDRzqDJbXQqokOKVv8TcAcOrZ7DuQghOHS4ij\\u002f980EOHDzUamSztfo1l13EFRedm1EL2tsWLPmE+x99hmDA3+HiyG3nXTQawzRNhg4ewEVnn86JUyYp0tjhwM0gfHWN8mG8O28hBw4dwuf14fW2LuF1TaOmLsRl55\\u002fFdVdemmkqzTbbLxZCzOkMnnYnOiPRbQ1egAqiGY8jiMY6JrPJbmWD\\u002fWva0yxatpyiwkIMo3UsN5UGaVBSXMSvbv8e3cpKG47VHQkldz84jZWr1xPMEuRztOEkvJSSUcOHcsm5ZzBp\\u002fFgg1VTPhvTx+8HDVbz9wTwWfLycfQcP4ff78Hp0kC1LnLFJPnXSBG656UZ0XSctzddWBtOEEDd1JpPdRqcjOqQ45i4AXqfek5r1eW3SLVi6nPunPd0mBLO1+kVnn86NV1\\u002fe6Fh9+2e7+NM\\u002fHySRaLvad60Bm8jRaBShaUwcO5qLzz2D0VbNtVxi6tMJv+\\u002fAIRYuW857Hy1i7\\u002f6D6LpGwO9PCUjKVTYhBHWhEGNGDufWr385PQUV6pXALlRwzL58TVxpDJ2S6JBC9geBb9GICW97vetCYf5w7\\u002f3s3rsPXxuMj+35ao+uc8dt32bIwP4ZrQs7FPPV2W\\u002fz4muzKSoswOiAWt0JTQgkKtbe7\\u002fdz8ucmccGZpzGgXx8gd4edk\\u002fDVNbV8uGgJi5atZOv2zxACdI8n6fXPZtrbBDcMg1AkwtSJE\\u002fjGjddSnDn6zUAR\\u002fTohxAudUZtD5ya6\\u002fWxlwEfAGNJMeBt2I5z9zgc8+dJ0igrbzuOtaRqhUJgTpkzklpu+nDVaDlSa653\\u002ffJjN23YQCPg7pAmfDk3TME2TcCRCWUkxZ516EuefdSol1iqzuRO+Pvw2HImyZv0mPlj4MZu37aCyuhopJX6fzzLDU5FIJIjG4pQUF3HBmadyyXlnJpfTTrOgOr3JbqPTEh1StPrpqFRWD2kmvE202roQf7j3fvbuP4DHo2fNdmsN2JFZt9x0I1MnZZ7Ltxvllu2fcec\\u002fH1J16TqwCZ8OTdNIJFR4bZ9ePVRq60nH47USaLL5SZzIlFW378BBVqxex7pNW9i+czcHDh1WabvU+wT69OzBxLGjOfXEKQzq3y\\u002fb\\u002fexOfx1wElClTu88DjgnOjXRIYXsvwF+TX1pIHs\\u002fQggq9u3nN3f9i2hMlT9uS0JpVnpkn949+cVtN1NUWAA0dFzZss16+z2eeWUmha2U3dZesE3oeDxOPJFg+NDBXHreWUyeMNZRfy6HxJks8fY1tXUcqqzi4OFKQqEwQlMk79OrB4UF6p2qKjsN3q20fhLAOUKIeZ3Ny56OrkB0geq5deAV4BLSxus2oZauXM19055OVnZpU7JrGrV1IT5\\u002f4Tl86fKL01MkkzBNE1NKHnjsGRYtXUFhQbDDj9fToQiP8tADx44ZxSXnncWYEbk77Gxk0vKZkIXgNuzOvtMFxmRDpyc6pMyt90UtYH8MWabc3pu\\u002fiEefe8Wqh9Y6deEzwppzBrj95psYM+KYRrPbKquq+eM\\u002fHmTf\\u002foN5u8a6\\u002fWzhSJSA38fUSRM4\\u002f8xTk6vMSKmy4HKNgXe+A\\u002ft\\u002f9pmNdBp2J\\u002f+4EOJ\\u002fpKplYHY2L3s6ugTRocF4fQ4qrRUcZLfHyjPfmsvz018n4Pfb57aJTJoQRGIxBg\\u002foxx23fptAwJ9RC9lkX795K\\u002fc8OI1E3EDT82e8ng7bYReJRCksDHL8cRM5\\u002f4xTGNi\\u002fL5B7auwRwCb5EuAsoA46Ryx7U+gyRIcUsn8NeIT6qZX6SVXLhJ4++21emjWnwfpkrQ17bv3S81TEVrYwUrsT+nDhEv791AvJddfyleygnt3Ohw8GAkw+dhznnHoiIx0FMJyLY7QQNsl3AmcKITZ39nG5E12K6JCLcw6kVKR6bc47vDjjjTYnO6iST9+76ctMOXZc1ikowzTRNY3\\u002fvv4WL818o8MkvrQE9vjdNCWRSJRgQYCRxwzlzJOmMnbUiOSCGVA\\u002fPhdK1Ten8drDtDrgfCHE\\u002fK4wLneiyxEdUsbsjwBfI43s1jEqm+zNd3lxxhvJdcvbKtkikUhQWlLCL77\\u002fbXp279ZomK4mBI89\\u002fwpvvjeP4sLCvHPOZYOt4dV67zBkUH8mjB7FlInjGJK2xh3kvECG\\u002fcFMVFDMi12N5NB1iW7Hw3uA54ArSffEA9LSrHPnL+KpF1\\u002fDNI02q39mLxwxYcxIfvCt\\u002f1XRXxm0lt3RmNLk4Sef54OFSyguLMx7zW7DrnFnZ5oZhkEwEGBAvz6MGzWcYUMG0b9PH3r16JYrye3w528LIR6SeboAQ0vRJYkOKcs6FQIvAxfQiGZftnI1Dz\\u002f1AuFwGL+\\u002fbaLUdKvG3EXnnM6NX7g8qwlvyxRPJHjg8WdZuGQ5RUUFmEbnILsNzTLRTdNMRrt5PDq9e\\u002fbA7\\u002fMysF9frv\\u002fCZZni16E+I00HfiyEuKureNgzobOUkmo2RP2yTnXA9ahpNw+K7M7jME2TyceO4\\u002fabv0bPHt0JhcItXqU1EwzTpCAYZM7cecydtzDpnc4gO1JKvB4P3\\u002fryFznl+MnU1Na1iUxHE6ZV5grA6\\u002fVSUlRIYTDIrj17qakLccrxUygubBC\\u002fDvXmug78P5vkQgijK5IcurBGt+EYr3cHXgDOJkMCjK1dDx6uZNqzL7F81ToKrAorrTlutzsWIQS3fP3LTBw7uknNbhgGjzzzIu\\u002fP\\u002f5jCwgKkaebvSgNZYBO5LhRi4rgxfOPGa+lmVapNg90zaiiS\\u002f1FK6QG6LMnBJTqQQvYyVBXZ81HL5HpImXpThIvH4zz36izefP8jvB5PzhVhc4VyzhkUBAP86Ds3MXTQgCbJbpomz746k9lvf6Dm49t4lqA9Ya9RbxgGZ51yItddcUkyySftnTiDoL4vhPhHV5pCawwu0S04pt2KgCdQDroG2W5OM\\u002fGjxct4fvosDlVWURAMtmpFFE3TiMZi9OzejR9\\u002f5yZ69+zRJNkBZr71Hi\\u002fPfAMQeL2t2wG1N+wileFwhNLSYq6\\u002f8lJOnjoZyOhxt62wKPAdIcS0rjwmT4dLdAccmt0H3At8h1RTUB2nDkYIwZ59+3jihemsXL2OQKB1FynQNI1oNEq\\u002fPr35wbf\\u002fl17duzVKdlDWwJIVq3j8uVeorKmhIBhstSo57Ql7qi0SiTJhzEi+cu2V9OvTK1vlGpvkVcBXhRDTu+IUWmNwiZ4GZ3URKeXPgT9auxpod5t0iYTB6+++z+y336e2LkQwGGg17a5patmooYMGcts3vkL38rLGV5WxIvt27NzNYy\\u002f8l\\u002fUbtxAMBvLGlLeTW8KRCMGAnwvPOp3Lzj8rOa2Z4bntmZLNwJeEEEu66hRaY3CJngF2xptlyn8V+CdQQgYnndOE3L5zNy++NpsVq9fi8XqT67G1lGCaphGORBgyoD+3fuMr9OzeLRkllwl2UE0sHuO5\\u002f87inXkLEQh8vo63BpoTqtNU02jjR4\\u002fgi5dfxDGDBwFZ88lBdb5zgf8VQmx3NXlmuERvBI5x+2RUbPwklAZR1QUdsLWNaUrmzlvIzLfmsu\\u002fgIQJ+X6uY8zbZB\\u002fXry3dvupF+vXs1TnaH9luy\\u002fFOefXUWe\\u002fbupzAYVCGnHUi7O6vSdC8v5+JzzuCc00\\u002fC6\\u002fFkS991Wlf3Az8VQtS6JM8Ol+hNwEH2HsADwNXWrka1e2VVNbPf\\u002fYD35i+iLhQm4PdnnRfPFfaYvXu3cr77vzcwbMigRmupO3O3Dx6u5NXZb\\u002fPR4qUkDCNZbPFomvPJLLZolIDfz6knTOGS886iZ7fypPwZot\\u002fs934Y+JEQYpp1rOtdbwQu0XOAg+wacCvwJ9TiEA2y3yBtDfWdu3ltzrusWLPWysP2O6qrNJ9kmiaIxuIUFRbwjRuuZdL4MU2WVnbKs2rdBl6Z9SYbNm\\u002fD4\\u002fUki2C2F+HtJBYpVV661+Nh0rhRXHL+2QwfMigpb4blq+266wK1au53hRDLrW8iXc9643CJniPSnHRTUdp9irU74zSchKS2XbdpC+98MJ+ln64mFo3j9R35GN6eyxeaxnVXXsJ5p5+ihGhKu1vyxONxPliwhDnvf8iuPfvwejzJYhZtXVVHpaXG8Xo8jBs9nPNOP4WJ40Yn5c9S9skOZZXA34DfCiFCrqmeO1yiNwNpTroC4KfAj1CLRRio99mA8FDfeDds2cq7Hy5k9fpNHDxcaS1DpCe94rkSTRMCwzSJx+OcfdrJfOmKiwn4MwaRpMA55q2tC\\u002fHOh\\u002fOZt2gZu\\u002ffuxev14tH1Fg8xUuS0rBfDMIhEoxQVFDBx3BjOPf0kRgwbqspEp3WKDjiHRyuBnwgh5kC9ldUqQnYBuEQ\\u002fAjjHg1LK44G\\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\\u002fkMzYii1ODA6wBfge8YGUZulq8hXCJ3gqwtLtuR2NJKU8FbgGutQ8hVVOlIFO541179rJmwybWb97K5m07OFRZhWmaSCnRNT1FyzpNayEEoXCYnt3LufzC8zjj5KkIRFPljx2ySISWWvBi8\\u002fbPWL1uIxu3bmPL9s+oqalLWTChvKSEYUMGMnTwIMaNGpYMckl5voZe9EzvZRvwL+BBK33Y1eKtBJforQhrqgfH+P1UlMPuUsdhGZ121vHJJYedH6a6ppaK\\u002fQdYu3Ezm7Zu58DBw1RWVVNVU6uIr+vomoama2hCoCezvUzGjhrO1ZddmJy6yhWZOgbTlFTVVLP9s92sWrcBr8fLuNEjGNivT9IsT3kWSYNOg8xWzjbgUeB+IcQB63xXi7ciXKK3AdLndqWUZwP\\u002fg9Lwfuswm\\u002fD2T\\u002fo1MKXMGPlWWxdi34GD7D9wiN1796n\\u002fHzzE\\u002foOHiUSjmKaBaaqiDXWhMH6\\u002fj5M+N4kLzjydgf374PV4mlVVNZNpnwlNVGzNRPB1wL+BZ4QQFda9XIK3AVyityEyaPjxwM2oFNi+jkMTKAJkZFLKmFyIrOWg44lEUtPX1tZRUxeiLhQiHIlQU1tHYUEBpxw\\u002fmX69e+VaWLFxWajX+E2QO92CmQs8BTwrhAhb13MJ3oZwid4OSG\\u002fEUsrBwDmoCrTHA177UFKTNTKzxznfnoX4RxG2Yy2d3LuBV1EEX+h4FzrK+nHH4W2IDtVCOjssDS+cgR5SyjOAi4GLgAlppyRIJUzTZU9tjav+qP+\\u002fdXK6068VYFdatc1yJ7mrUVNkbwCvCiEOO+R0NXg7wiX6UYBNeFK1fDEqO+5a4ERgFFCcfioNx\\u002fbt+Q2dpBZknkXYBiwH\\u002fgu8K4TYmTw5w3O7aB+4RD\\u002fKsDSbSC+UIKU8DkX4s63ffUgrRW3BGQYqsvy\\u002fWSI18ncmYteiwlPfBRYDH9uONaifeqSLF2c82nCJ3kEg6xeVaKDxpJQBYCRwCjAVGAQMBQaTZW6+qdtxZN++GtgObAVWAwuBRcB+5xjbHnfbf7oEP\\u002fpwid5BkU3TO\\u002fb3BXoDw4DhwBDqyV+Emsazfzxkd+6ZKF9AzPqJWD8VKEJvA7YAm4C9QIUQoiqDPPb43HQdax0PLtHzAGnaPiv5HccHgXKg1PodpJ7wPus6BorQBhBGaetK4HAmIqddP0lqXI2dF3CJnodIIz44zGRonfW+Hfcg7T4usfMQLtE7ISySQkOiNnoardhRuHDhwoULFy5cuHDhwoULFy5cuHDhwoULFy5cuHDhwoULFy5cuHDhwoULFy5cuHDhwoULFy5cuHDhwoULFy5cuHDhwoULFy5cuHDhwoULFy5cuHDhwoULFy5cuHDhwoULFy5cuHDhwoULFy5cuHDhwoULFy5cuHDhwoULFy5cuHDhwoWLroj\\u002fD4fBWg9WJD8EAAAAAElFTkSuQmCC\",\"x\":188,\"xanchor\":\"center\",\"xref\":\"x\",\"y\":183,\"yanchor\":\"middle\",\"yref\":\"y\"},{\"layer\":\"above\",\"sizex\":150,\"sizey\":150,\"sizing\":\"contain\",\"source\":\"data:image\\u002fpng;base64,iVBORw0KGgoAAAANSUhEUgAAAPoAAAD6CAYAAACI7Fo9AABMu0lEQVR4nO2deVxU5f7HP885Z\\u002fYZdhBERAQVUVNzXxLL7aapqY1pVi6lVt62e1utLmG2bz\\u002frXnNLM9PUaVFzqcwUyy33ct9wTUVFEAZmO+f5\\u002fXHOGQaYQQRRgef9ep0XMAwz5xnO93y\\u002fz3cFGAwGg8FgMBgMBoPBYDAYDAaDwWAwGAwGg8FgMBgMBoPBYDAYDAaDwWAwGAwGg8FgMBgMBoPBYDAYDAaDwWAwGAwGg8FgMBgMBoPBYDAYDAaDwWAwGAwGg8FgMBgMBoPBYDAYDAaDwWAwrgvkZp8A47pTlf9TWoWvfb3gUDXnWR3WzmDUCpjiCgD7YGoOHABpyJAhbX\\u002f66adF+fn5lBBCKK20IhIJIXxCQsKGY8eOPQyAByBW+myvPzwhRGzTps0Tf\\u002f75579dLpcI+VwrgwSA69Kly9JNmzb9S5IkTnmMwbhp8JRS0qRJk9WQzczrdhBCaMOGDdcr7yPcsBWVHwKATJ06NSo6OvoyrvP6O3fuvJjjOEC+mVZLqu2JM4qwWq08AHHgwIF9z5w50xOyFhYha5\\u002fKHm7lq+NGrulaSEtLIzzP0+nTp6dlZWWFoOicK3t4AEiEEOcNXRCD4QcCgFBKhYSEhG2QNbAIH23McVy5DvjXaB5Fo69W3u+W0ujKTY48\\u002fvjjt4WGhtoh3+QkXMPaCSGB1i4CoF26dPmqumt0RjVHudDRs2fP0Xq93ntxXsfjlhZ0ABzHcWjatOlSKOeL67f2GiPot9o\\u002fjXENUCr72\\u002fbv32\\u002fp1avXi06nU5L9b0UOuIjIKETWqQPR4wEhpX2vFABHCFwuF44fOwpJqj6+JqvVyttsNnHAgAF3r1mzZgAU55m6Tp1Oh4TEJIiiBD9LB6UUvCDg\\u002fNm\\u002fkX3pEgghuA7Oy1sSJujVmKFDh3IAxHHjxo2\\u002fcOFCE0qpCNn7DADQanV475P\\u002foXmLlnA4HKUFnQCSKMISFIzvbYvwVtor4Diuugg7sdlsNDMzU9+jR4\\u002f0\\u002fPx8KDc5jhACSZLw6OP\\u002fxJjxTyAvLw+KRi7+AoTA7XZj\\u002fMgHkH3p0k1Ywo2j2poiDBCbzSbOnDmzzqFDh15wOp0USrhU1Uz9Bw3Bba1uh91uByBrMN9DEiVwHI9LFy9g7szpEMVbMWoWEA6A9Mgjjzz4999\\u002ft6OUSpRSXr1RJTZqgsH3Dw+4drfbDYPRiOVLvsWhA\\u002ftBCFdjtTnABL06w3Mch+nTp\\u002f8rOzs7UnFAcRwnX7Bh4REY\\u002fvAouF0uvyY7KIUkSTCaTFj+\\u002fXc4eSKz2mjztLQ0DgBdvHhx2IEDB15xOBwSgGKm96ix4xEUHAKP2118\\u002fYqga7VaZJ07h4VfzYX8tzd8GTcUJujVEw6AOGHChMTjx49PcLvdFD7\\u002fS0ophtz\\u002fABISk+BwOPyarRSAVqvF+bNnsXjBPP83g1sYQoj0wQcfPHPx4sUG6k1OFfR2HTujR+9\\u002fwJ6fD14QSv6h9wa35JtFOHPqVLW5wVUGJujVFI7j6Lp16\\u002f5z8eJFEwCJUkpUbR4bVx9D7h+OArvdr5ADgCRJ0BsM+N62CGf\\u002fPgNCqs3FzqWnp0sTJ05MOHbs2DMul4vCJwNOo9HikccnQNBo\\u002fJrilFLodHqcyMzEt4u+rnY3uIrCBL2aoYTT6KhRo9qeOnXKCjlu7PU0U0rx0OhHEVmnDtwlzVYFKknQ6XQ4efw4vl28QDF5q4WQw2q1Ep7nsWTJkknZ2dkW+NzkJElC77790KZt+4A3OUoptDotvlk4HxcvZIHUAm0OMEGvdthsNioIAt24ceN\\u002fcnNzDYq5SlRPc3JKc9zdfyDs+fkBtTkFoNXp8c3XXyH74sVq44hSw2lDhw7tdObMmeGSJEnqTU6SJJgtQXh4zFh4PKL\\u002fGxyl0On1OHLoIL63LQIIAa0FQg4wQa9WKNpcGjx4cJ\\u002fTp0\\u002f3pzJes5UQgjHjH4fJZIIkSYEvdp0ORw8dxNJvbYo2rx7edpvNRiml3LZt297KycnhATmXQL2hWYc\\u002fiKTGTeB0Fvpdu0QlCIIGC76cgwJ7PrgaHDcvCRP0agKllADAyZMnDdu2bUuz2+1UcUKB53lIkoSOXe7AHd3vgv0qe3OtVosF8+YgPz9PEfQbuJAKkpqaKgCQ7rnnniFnzpzpDiU5RjXZY+vFYeiIB5V8gdJrlyQJRqMJe3bvxOpVK6D6M2oLLGGmmkDkq1fMyckZeO7cuU5qcgwgX8S8IGDk2PHgeQGUOv1rNOVi\\u002f+vPXVi9akV1ygQjGRkZ0pkzZ4ydOnWaVFhYSNVzp1D8EmMeRVSdaFzJzQXP+69OJQC+mvM5CgsKmKAzbkkIZKeTvn79+q8XFBSoj3lDQ73v7ofb27bz7s0DeZwJARbM\\u002fQIFdjt4nq8uSTIcAHH48OGPnzt3Llm9yalrT2l+G+6+ZyDyA6xdFEWYLRZs3bwR69b8DHVPX5tgpns1wGq1coQQmpqaOj4rK6sJ5GILrxMqODgEYx6bAI7jodVqodXpSh2CRoOQ0DDs3L4Nv\\u002f60sjpd7BwAOn369JiDBw8+53K5JCg3OUopNBoNHnvqWYSEhUHg+dJr12phMBpBJYp5s2dBFP076mo6TKPf+hCbzSZNmTIl8p133nne6XR6O8eo5uudvXojODgEJ48fB8f5F2BJkqDX6zF31nR4RLHaJIlYrVby7bffitOmTXspOzs7GvJNzqvNW93eFgkNG+LIwYMgnP\\u002ftit5gwNbNm7Bl4+\\u002fV6QbHqGXwANCuXbs3lZrxUmWYwSEhNDQ0jIaEhtLg4BBqMBr9HkoZa7UpU1VSXTFhwoQWYWFhDsg5A8XOT28wUmOA9aqH0WikHAlYb18rylQZtzDKhU5efvnl5IiIiIso6hxT4RrrMpos3HKCDoBfuXKlrlGjRkuU876etea1StCr7YnXBtLT09XijfZ2uz0cgEgpLfY\\u002fI4QoB+fzfeCjunia1fZYq1atSsnPz+9P5aygYu708qxXPWo7bI9+a0M5jkNubm5EYWGhXwktEtzqIcDlxWazAQB++ukno91u56DszX2fU11uWrcCTKPf2kiCICAmJqYVAEL8ZYIAAZt2q4qsOmu0\\u002fPz8sLy8PAABBLuMtRFCan79aTlhGv3WhQCgTqeTa926dZLPY14TPDQsHBPTJskCECBBxmQy4dMP38ehg\\u002furjaddgXIch7i4uDZ\\u002f\\u002f\\u002f130aMcB0gS6tWvj38++zw4noe\\u002f1D5KKTRaLWb+71Ps3\\u002ftXdVv7dYcJ+i3O8ePHtYWFhXWVH4sJekzduujdrz9cTv\\u002fNJSRJhNFkxszP\\u002fuf759UKnudTlG\\u002flBCHIua\\u002fxDRqi1z\\u002f6KVV3xdelhh4BYMHcOfIf13LNzgT9FueTTz4hly9fDvb3u4ioKNjz8+F0lu4HJyt5grwrV2DPz1MfrerTvZ5QALDb7XG+D6rrDAuPgMPpgMvhKBU\\u002fp5SC4wQUFOTjSm6O97HaDBP0W5wdO3aYsrOzdUDpizUqKhq8IIBzcSAlilgopRAEAfn5eXA4btnZC2VCKcWFCxdC\\u002fP0uMioKWq0ObperVAGPnDEnwO12oVBOF671MGfcLUpaWhoBgPj4+BaEEL3ycDHVFRlVBxzh\\u002fOppWatxKLDb4Sws9D5WjaCSJGmysrKMvg+qGj0iMhKCRgiY089xHJyFDtgLippD1maYoN+irFu3jgMAp9OZzPM8gY\\u002fdrV7sUdHRftM+VTiOhz3fDoezeml0tST3tddeS9ZoNKHKwwQoSl8NCQ0DlQILLyE8CgsLUZCfX+XnWx1ggn6Lc\\u002fnyZXWPWsplHB4RCYD49ToDcmVbQYEdDkWjVxeUfvU4d+5ckiAIFvVxQuRIgiAICA4JgSh6AkbPOJ7A6XR4+9kzjc64JcnPzycAcPbs2XBFi1FA1uaiKEIQBFgsFkiS6De0RikFx3MosOfDo0xpqS4Xe1ZWFgGAc+fO1VWsFxE+2xaT2Yzg4BClxNZ\\u002fK2uOcN79eaAmHLUJ9gncomzfvh2EEGRmZurdbnep3weHhMBkNpdZT85zvHeAQUln3a2MepPLzMwMVtbuvckBsqAHhYQEHDMFQkBBkZube8PO+Van+vz3axcEgEeSJF4QhFglLuyNoQOAJSgYBqMRHrdbnroiSaUOURKRf+UKAHm+WnVBvckdP37cpEQMipkiRqMZQUHBcLvdoH7WLUkSRFFEzuXLKPXHtRQm6Lcgisedbt68OcJsNicoDxcT9PCICETViYFer4fRZCp1mExm6PV6FHi9zjdjJRVCvcmRsLCwZN+bnGqmh4eHI6pOtLx2s9nv+o1GIwrsiiOuGi2+qmBx9FuYFStWRBBCYpQfvV1VAOBCVhY+\\u002f+y\\u002f8Hjcvr\\u002f2Io8d0mDzht+Un6tV+icFYDYYDI2VnzmgaA1ZWefxyQfvKolC\\u002fnu3a7QabP59vffn2g4T9FuQffv2EQDYu3evxe12GyBf+ASAN7x08ngmZvxvSrlfsxrleRMA9L333gvyeDyxPo95BTbz6BFM+\\u002fTjcr8gE3Qm6LckSokmt2vXLkmp3BJR4n9VvjpreQLLdbrQb6S0kM2bN1O73a6m\\u002fhZbqFp\\u002ff7VTUienXgeq\\u002fZ2CCfqtCQUgBQUFPZiZmQkApOQFex0v4nKdD6VUe4PeiwCQsrOz+126dImD3P22mH0ur\\u002f2Gda+lKFEHXx1hzrhbDHUay4QJE1qcPHlyLOQL7ab+nwghJCIi4kBVv486Dnnq1KlRhw4d+o8nUPjsxkEBEFEUWXod4\\u002fpitVp5SilJTk722yetAj3fKtNfTgIgRUVFZaelpdVTTrEqbzo8IQTt27efpNFoboW1iyEhIQVDhgxpCxQ1q2QwKgsPAIMGDeplsVi8zQkrcvA8fz0udo9Wq6VdunR5meM41dqoElQheuWVVxIiIiLyIaf8Sj7nUv7z5irU8bXU2jmOo61atZomCEK1F\\u002fLqk0VR8yEAuG3btunuu+++jOPHj7eR27fL+1PV+fb0cy8hvmEiXC5nsSQYqryAOnZp1fKlWLH0+8p0VqEASL169Q5v3bq1dUxMTCGKBOG6Y7Va+e+\\u002f\\u002f15s2rTpvL179z5IKfVQSgWgqNHGAyPHoGOXO+AoLATHETidzmJ+CkkSYTJbsHrVCvy4fFll0n4pAERFReW88cYbzcaPH3\\u002fO9\\u002fHqCHPG3TpwhBDx+eefH5aVldWWECKqk1JVYb2r1z\\u002fw0JixcHvcyh26ZOxcgkajQc7ly3hvcrry2LVfm4qASEajkW\\u002fevPkrMTExdsjWRpXE6NRxyMOHD++0cuVKqyRJotrxleN4SJKIRk2SMX7C0zBbLPB43N6utypy\\u002fT2P\\u002fPx8TPvkY991XPP5EEIkrVbLJyUlvf3YY4+dhbz2ajG7KhDV2hypQRAA0l9\\u002f\\u002fWU+fPhwuu9sNfVi1RsMGD3uMThdDtjz81FQUICCAnuxw263QxQlzJr2X5w8kVmZQYIiIYSPiYnJWLVq1VLFb1BlgXibzUY1Gg22b9\\u002f+Tm5urtpkQ5Fi+fzHjJ8Ak9mM3JzLcvlpgR12e773yMu7AlGUMG\\u002f2TBw+eEC5QVz7KRNCJEopFxUVdWjChAmzKKVcVa79RsEE\\u002fRbAarVyHMfRMWPGvHTu3Ll68Onfrgr6ffc\\u002fgKbNmsNR6IAgCOA4rthBCIHRZMLBg\\u002fuw5JvFlapWo5QSi8WCTp06TSSEuJTzqDKTHYDUs2fP+0+fPt0NstVQzJLpfEd3dO\\u002fRC3Z7HgSNxu\\u002faDQYDTp44jsUL5ilrr5hsUkphMBhIs2bN0kaMGHEZctCh2prsKkzQbzJpaWmczWaTXn755YRjx45N8Hg8VG3rrAprnZi6GPbQSDidzoAll5RScIRg9rSpKLDbK2O2ihzHcfHx8V8uWLBgIwDeZrNVldlKbDYbXbJkiWXPnj2vFxQUeM1x9avBaMTo8Y+D5\\u002fmAKeuUUmh1OsybMxO5OTmVWjshhKtbt27GqlWrvlEccNVemwNM0G866enpIITQH374IS07OzsEcoJIMbN9xMgxqBtbD05noLnnIsxmMzb+th7rf\\u002f2lwia7YraSsLCwKwMHDpwsSRKXlpZWldqMAyB9+OGHj507dy4ZJSwZSZLwj34DcHubtrDb8\\u002f3e5GTnoxG7d27HT8uXgVR8u0IVS8bTuXPnVwkhHiUVudprc4AJ+k1FNVsffPDBTidOnHhQkjeV8pAvxWxNTmmGAYPvgz0\\u002fHzzvP7rFcRwKCwsxe\\u002fpUeDweABVzwikNJbmkpKQpkydPPgyApKenV4lGU5Nj3njjjbjDhw8\\u002f53a7Jd9SXEopwsLC8dCYsXD6aQBZhPzcuTOmo7CwUE6Ur5igS4ols+irr776HQBXhZbMDYcJ+k3EZrOBUips2bJlUl5eHq\\u002fsBb1Km+d5jBn\\u002fBMwWS8AGE6Iowmy2YMXS7\\u002fHnrh0gFQynKQkiXJ06dU4uXbr0PSjFJRVd29VIT08Hx3HS999\\u002f\\u002f8LFixejSoYSKaUY9vAoxCckwOko3c4akLW52WzG+nW\\u002f4vf1ayscSlQ\\u002f9\\u002fDw8Jw+ffqkUUpJWlpapdd4K8EE\\u002febBARD79es34PTp0z0lSZLUcBohqhOqG7rd1RP5eXnyRJISyKWoWpw7dxZfzZklx9oreDKUUmowGNCsWbPXo6Oj861Wa1XuTzkA0uOPP94iMzNznMfjkUqa7A0aJmLw0GEosNvB+9HmcqssHnZ7Pr6YMa1S1XmUUkkQBK5hw4ZTP\\u002froo6NWq5WrKkvmZsEE\\u002fSagZlmdPXvWtGfPnkkFBQVezSlrM0Cn02PMY\\u002f8sU3CpJEFvMMC24CucPnXSKyQVQALA161bd8tPP\\u002f30JaWUVKUDDgA0Gg3WrFnzZk5OjhZF+T5ezf3oYxMQEhomb0UC9MQzGU34cfky7P1rd2W1ORcVFXV68uTJ70mSBJvNVqOEHGCCflPYt28fIYRIw4YNG5uVldVM9fYC8IaGBgy6Dy1ua4XCwsKATii9wYDDBw7A9vVXlc4CCwoKElu1avUSIURUtHmVoFoKffv27XPmzJn+lFKpKDlGFtYOnbrgzt59YLfb\\u002fa5dHtCgwYWs8\\u002fjy8xmVKnyhlEoGg4EkJye\\u002f3qtXr1zFb1IjHHC+MEG\\u002f8RCbzSbNmjUr8sCBAxMdDgcFwKvzwiilCAuPwIjRY+ByOct8IZ7n8cWsacjPy6tUFhghhIuLi\\u002fvum2+++Q2AUJVOKJvNRimlmt27d79VckqqOl1m9PjHodFoQSUp4N5cbzDg20ULcOb0qcpYMiIALjo6etvkyZMXQA4l1jhtDjBBv+GoyTH\\u002f+9\\u002f\\u002fXrt48WIk\\u002fITTHhz9COLiG8AVIG6uTkndsmkjVv+4ssIhJdUBFhYW5ujbt+9rhBAxLS2tyi701NRUAYB05513jjl37tztkLcMHAAlTk7Rd8C9aNO+I+z5gbW5Xq\\u002fHsSNHsGj+l5W5wQEAsVgspG3bthM7d+6sNr+vcdocYIJ+Q1FyuqVx48Y1P378+KOiKEqqya7Gvhs1ScbAIVYUFhQEbNFMiFzQMWvqp3LLY1Q4nCZpNBqSkJAw5YMPPjhotVr5KnRCkYyMDGnmzJlhhw8ffsXhcFDf5BhJkhAaGoYHx4xV+tAHOmcJgkaDr+bMwpXc3MrEzUWO47i4uLilS5YsWV2TkmP8wQT9BmKz2SjHcXT9+vXp2dnZBihJGoBSFkYpRj4yHiEhofC43X7NVlEUYbZY8PPK5di9c3tlnFAS5JDS6f\\u002f85z8fKA64Kk+OmTFjxr\\u002fPnTsXB3ntxdN8h49AUlJjpTotUHKMGbu2b8OPK5bJN8cKVuZRSklQUJC9Z8+er7rdbpKeng7UUG0OMEG\\u002fYajJMUOGDLnr5MmTA+FjtqoXbPvOXXFXn38gPz\\u002ffbzgNkL3Vly5cwJyZn1WqlRSlFDqdjktJSXlzwIABF1E0evy6oybHvPTSS0nHjh17QvQZsaLeqOLqN4D1gQdRUODfZIfyB6IkYs6Mz+BUJsRWNDmG53kuMTFx1ieffLIHVbj2WwUm6DcGkpKSQimlmh07drxVUFDgkxwja22dTo9Hxz8BQdmr+kMURRiMRtgWzsepEycqo83VnO6da9as+RxVfKGnp6eD53lp+fLlk3JyckLU\\u002fTFQJKijxj2G8PAIuMuwZIxmM9b\\u002f+gs2\\u002fb6+UpYMIYRERkaeveeee94DUNVpvrcETNBvDFx6errUu3fvB86cOdNBkiQRSoWWuj\\u002ft0+8e3N6uPQoKCgKYrXKp6tHDh7B4\\u002frzKhNNAKYXRaJRuu+22Vwkh7tTU1Ku3VK0gqiXzwAMPdD158uT9oigWq06jlKJ12\\u002fbo07c\\u002f8stI8xUEAXa7HV\\u002fMnFZpS0aj0XBNmjR5Pz09\\u002fe\\u002fU1NQalxzjDyboVQ8HgG7evDlo3759rzocDglKV1dVWIODQ\\u002fDwI+MCajNAaSohCJg3eyZycy5XRtAlAHx8fPzK5cuXrwTAZWRkeCq8urJRtbZ248aNb+bl5XGKp9\\u002frbNNoNHj08QnQ6rRlWjImkxkrlnyL\\u002fXv3eDMHr\\u002flklDTfmJiYvevWrZsG2UFYY\\u002fLZy4IJehVjtVoJIUR65plnnrlw4UISUNTVVfUYD3toFBIaJgXO6VYu9G1\\u002fbMGqH5YpVkDFwmkAEBYWVnjHHXe8KopileZ0W61WzmaziX379h109uzZbpRSnzRfuTFEjz53o13HzigoIzlGq9Xi7Nm\\u002fMX\\u002fubOXzqXAokZrNZjRv3vw1QkihkrxT4812gPWMq2o4AFJaWlr9zz777M+srKwgRRMTVSPHJyRg1rxFMBiNEEXRv0anFLygwTOPP4KtmzdVam\\u002fOcRzfokWLT3fv3v1Ut27dhKrW5nv27DHdfffdO06dOlV0kyMEoIDZbMasrxYhvmFDuAKMVxJFEUFBwfj04\\u002ffxxYzPwPN8mRNky0AEwDdu3PiXzMzMXm63WxXyWiHoTKNXLRyllPvuu+\\u002fSLl68GKzWewNFOd2jxj6GsPAIBOphLopyw8NfflqJrZs3VTgLTE2OiYiIuDhq1Kg3KaWoSrM1NTWV5ziOjhs37onz5883Us1mQJ1XTmF94EE0Sk6G01EYcIaaXq\\u002fHkcOH8I2S5itv8a8N5XPlgoODxQ4dOrzsM4a6Vgg5wAS9ylCcUJ7hw4fffvr06WK15jwvm61t2ndEr7v7BWyqoOZ0X86+hC9mTgeAgHv4slD+RtLr9aRJkyZvP\\u002fvss+erOKeby8jIEN95553oo0ePvuhyubzbFTWUGBsXh6EjHoKj0L+QA0pKrEaDL2fPkCv4uApb2h5BEEjDhg2\\u002f+Prrr7epDsKKLq46wgS9irDZbFQQBOzYseOty5cva4GihoeSJIHjOIwZ\\u002fzh0Wl1ADS1JEgxGI75bvBCZRw97bxDXCqVUVBoe7s3IyPiMUspVdU43IYQuXLjw9QsXLoTBJ823KDFoHKLqRMPlcgXMZzcYjdix9Q\\u002f8vOKHyuSzU0opFxoaennAgAGTPR4PSUlJqTWaXIUJehVgtVp5QojUr1+\\u002fe8+cOdMDSvEEUBRS6t23P9p36FxmhZZOp8eJ45lY8OUcAJWaiEqMRiNRwmmFqMKmEqqlMH78+NaZmZkPSZJUPM1XknBbq9a4u\\u002f\\u002fAMrvmqII9e\\u002fpUbzSiolEGjUbDNW7c+P309PTjUEKdFV1fdYUJ+vWH2Gw2KkmSsGvXrkkFBQVcyRZJFosFox4dD1ESA3pDqTLffN7sWci5nF2ZPnAix3FcvXr1fv7hhx+WVbXZmpKSQgVBoOvWrUvPyckxqs5H9fccz2HMYxOgNxiv2jVn7eqf8MemDZXqgQe51vzIqFGjpkOuEqx1Qg4wQa8KOMgVWk+cO3euhRJSKp7TPexBNGqSDIfD4bdwRZIkGAxG7NqxHSuWfFupWnOl4aGrY8eOrykXPlCF2jw9PV3q379\\u002fv9OnT\\u002ff3XbvvEIrOXbsF1OZqqWrulVzM\\u002fXxGsRLWa4UqrZubNm06aezYsdlWq7XK2lbf6jBBv46oOd0fffRRzIEDB152Op1SUYWWfKHXja2H+x98CIWOwoCONUIIqCRh1mf\\u002f8+5hK2q2EkK4Bg0afDlv3rw\\u002fUIUND5WiGKxdu9a8c+fOSfn5+eq8NO86LZYgjHp0fJlrUUtwVyz5Dgf37a1s0Q4XExOzcfXq1V+hhjV7vFaYoF9H1M4xCxYseObSpUvRxRseys95+NHxiKwTDXdAJ5ScHPPrLz9h84b1IKRSZiuJjIy8dO+9975JKeWqMjlG2YeLkyZNekCtNS9KjpH32wOHDEXTZi0CpvmqyTF\\u002fnzmDr774vMKdY9TkmKCgIHeXLl0mchxHrVZrrc4ZYYJ+nVAGMYjPPvts42PHjj3tdrspLTE7rUXL1ug7ILATilIKnhdw5Uou5syYBkC+QVTQbKUajYZLSkr6KD09\\u002fbjVaq2y1s3KHlxavnx56IEDB\\u002f6jdM0p1uwxsk4dDH94FBwO\\u002fyWogNwDT6fXY\\u002fGCeTh\\u002f9u8Ke9qVfTgfFxf3\\u002fYIFCzKUKEOt1eYAE\\u002fTrxr59+willPz888+TLl++rPPuhxWtpNFoMGb8EzAajGWG00wmE5bYFuHwwf2VNVv56OjoIxs2bPgYSvuqiq7tagwdOpTjeZ6+\\u002fvrrL1y8eDGWEOItQ\\u002fUmBj06HtExdcsMp6k98L5dtKCyPfC48PBwe+\\u002fevV8RRbFWa3IVNk31+sDbbDZx2LBhd5w8eXIwpdRnGigHSRRxZ68+6NwtFfb8wBNHdDodTp48gYVffVGpFkmUUmoymdCsWbPXX3\\u002f9dWdKSopm3759otVqrfxKfbDZbGjTpg1ns9nE5557LnHOnDlPud1uWrLZY9PmLdD\\u002f3iGw2wOH0wCA43nM\\u002fXy69zOq6E1OEAQ+ISHh0ylTphxJTU2tyjTfagO721UeAoBoNBopPj5+45EjRzpBaSrhrTXX6zFr3kIkNW4Ch8PhV9BFUYQlKAjvTU7H4vlfguN5SBXM6SaE8ImJiSsyMzPvqWBe+DVBCEFKSsqivXv3DoWSUw4oRTuShA\\u002f+Ow3d7+opN9Qoowfe1i2b8czjj8Dj9oBSWpEbnQSAxMTEnP3ggw9ajhgx4pJSJVgrPe2+MI1eSdQKrR49ejyYkZHRCb4XurLHHKJMQr1y5YpfjabOD9uzexeWKpNQK5Ecw+l0OtSvX\\u002f+XiIiILhzHcVJlphuU9UYyktFobLZ58+YhACghhKPKcAVJFNG9Ry907XannBhURpTB7XZjzozP4HK6KjPuGXq9njRt2vSNESNGXATAK9uIWg\\u002fT6JWDACArV640jx07dvuZM2eSlMIVTr1YIyKjMHuBDeEREXD5mSGmXtA6nQ7PP\\u002f0Eflv7a2W0OQA5l95sNpdpJl8PKKXgOA4OhwN2u937OCEEIAR6nQ7TvvgKySktUFjo39OuVqetWr4Ur77wL3AVL9oRKaV8\\u002ffr1d27atKlrbGysA7WoOu1qMI1eOTgA4htvvPHE+fPnkyBPA\\u002fVKF6UUDz8yDnXr1UNebm7AsUpmsxlr16zGb2t\\u002f9cbQK4MoisjNzaW4sYUb3sWpFsmAIUPR\\u002fLZWyPMWpBRHLdrJyb2ML2ZOAyitsFRSSonZbEabNm1ei42NLUhLS+PS09OZkCswr3sFUZNjXnnllYSjR48+5\\u002fF4iuV0S5KEJinNcM+9g+R55QFCSjzPo6CgALM\\u002f+y8I4cBxsrwQjqvwwckH4TiOv1GH+t6qFVEnOgYPPDw64KhnQM0ANOGHb7\\u002fBkUMHK53mGxcXt3zZsmUrUEvz2cuCCXoFUaeBrlix4oXs7Oxw+LRuBmRhHzPuCViCggM2lJAkCUaTCd8snI\\u002f9+\\u002faCUgmiqDiiJKnCh3QTDvW9RVGEJEkY9tBIxMXHBxR0pQst\\u002fj5zEvO\\u002fnFPZ5BgEBQXZu3Xr9qooiqS2J8f4g5nuFYMDII0dO7blokWLHvF4PKXmmt\\u002fR\\u002fS6k9ujpU0ddHNVsPX\\u002fuHNau\\u002fhlR0dEgqHjDx1sBuTGEiPgGCRg42FpmdRqlFDq9Hovmf4kL589VOJxGldltiYmJX86cOXM3lFBnJZdS42CCfu0QANBqtVi3bt1bubm5GihlqIQQUABGoxFjxj9RpqdT3cdqtRq8+sZbEISa8K8gkCQRQcHB0OrKrrPX6\\u002fXYv3cPvl34daW75kRFRV0cOnTo5O3btxPUsoYS5aUmXF03FDWcdvfdd\\u002fdds2ZNXzU5Ru3qKkkS+g4YhBatWgfU5ipqzXn9BgmgEq3CKvEbBfVq9YD97xQ4jsOXs2bI3nieB61YlEHS6XR8UlLSuy+99NLfLDkmMGwvc+1wlFKhYcOGWzIzM1uhRHJMWHg4Zi\\u002f4BhFRUQHHKpVETs2uIf8KSgFCynTAmUwmbNm4Ac88\\u002fmjR\\u002fv7a30kCQOrXr39k2bJlrVu1alWgnkGFz70Gw5xx14A6DfSuu+565OzZs63g0zlGTVl9YOQjqFe\\u002fPlxleJtLQggHoghHtT84rsx1E0LgdLkwe\\u002fpUeDyy8r1WyVRf32QykWbNmr3WqlUre21q3VwRmKCXH5KRkSFOnz494uDBgxOVaaDF5oclNWqMe++zBizDrO0UdbRdhR3b\\u002flC2OhWqzFNHSv26cuXKxUrlINublwHbo5cfjhAifv7558+dP3++HuR6a0Wai+aHBQeHIO\\u002fKFXnfWcUe9IqGpIAKDyesFIIgIOdyNubNKupoW8HOTiQoKEjq3LnzK0oee7X3blQ1TO2UA7Xh4Ysvvph09OjRcaWngVJ07dYdPfv0g8PhgEarBS8IVXIIPl8rKuhq6irP8zfsAABLUBCWfLMIR48crtQQCp7nufj4+Hnz5s3bXNPnml8vmEYvBzabjSrTQNNzcnJClbxqou7L9Xo9rCMegtPpkEcL8VV9\\u002fySQRBE6vR4ajeaatLPc3IKHy+Xy8YxXrTKkEoVGq8HBfXuxaP6XlSnBlSilJDQ09HLfvn0n\\u002f\\u002fnnn9y+fftqiBezamEf0lWwWq28zWYTH3rooa5Lly7NuHLlCtQKLfWC1ep0SGiYBI\\u002fHDY4jqEqrWNXiGo0Gr01+R5nZVhgwxdYXNRNv947tmPrxB3C51X50VXe+MnLDx0sXLuD06VOVaSoh8jzPt2\\u002ffPn3Tpk2vQ86vZ8kx5YAJetkQyJNP+aSkpF+OHTvWDSUKV24WHbvcgY+nzgjYsaUkqrnu8Yh4YsxD2L\\u002f3rxtwlqWprDavV6\\u002feiXfffff2ESNG5IJVp5UbtkcvGw6A1KNHjyF\\u002f\\u002f\\u002f13sWmgpZ5YVExSZQfhOHA8D47jcP+IhyFoAo8aLomqzb\\u002f8fDr27\\u002f0LgiDckHMudv6Va1tNDQYDSU5OnjRixIjLSj47E\\u002fJywvboV4EQgtzcXLMS8w14YVVRb4diqG2pmrVoiTbtO6CwwP+Ul5LIAxHM+GPTBiyYOwccx0EUxeqUVy8B4GNiYv5YvXr1F4QQwvLZrw2m0csgLS2NUkphtVp\\u002fDA8PPws5xHZzPbyE4F7r\\u002fTCZzeUaH6wWz1y5cgUfv\\u002fMWnE5HRds03RTUbUlQUJDYpk2blwkhVEmOYVwD7AMrg\\u002fT0dCk1NVV4+eWXT4eHhy\\u002fneZ7crJE+aq12XP36SL2zBwrLmZSjdlf9fNpUHDq4HxxX9fH964xICOHr1au3dMmSJb+mpaVx33zzDdPm1wgT9KvQvXt3iVKKDh06zNHr9cBN3O5QStFvwCBEREZ6Bw+WhSSKMFss2PhbBhbN+6LCseubiDoJ1dGvX7+Jbrcb6enp1e1GdUvAvO7lRBAEJCYmbj548GB74jOB5UagCnRIaCg+X2BDdEzdgJNeVKgkgRc0KCjIx+OjH8bRwweVqS\\u002fVR9CV5Bi+devWH2zbtu15xRHKtHkFYBq9fAiiKCIkJGS6yWS64ea7arb37NMX9eMblKtgRhkwiFlT\\u002f4ujhw+C5\\u002fnqJuQSpZRERESc7du378fKSCmmyisIE\\u002fRykJaWJlFKyQsvvPCjXq8\\u002fRQgRcIPSLtUad73BgH4DB8Hj8VzVDJMkESaLBRlrVuObhfO9NeLVCUop1Wq1XJMmTd5OT0\\u002f\\u002fG0CVjZSqDTDTvfwIADxt27aduW3btkfh07+9KlH31d179MJ7U6ai4CohNXnssAZ5ebkY+9BwnDpxvNrtzdXWzfHx8X8eP368AyHEBZYcUymYRi8\\u002fEgASHx\\u002f\\u002faUhICHADPzueFzDYOqxcGXASpdBqNfhsysfVUsgB+WZlMploy5YtXyOEOFhyTOVhGv3a4CilQkJCwooTJ070pJRWqVbneR6iKKJVm7b4dMacq3qb1bFOv\\u002f78I1569kkANyaR5zojAeCSk5N\\u002fOnz48D9EUWTVadcBptGvgdTUVI4Q4kpKSlpsMBhACJEIIaLytTKHXwlWhXTAoPtgNJrK3GerQxrPn\\u002f0bU95\\u002fR27RdI1hKEIIvQ5rqfDBcZwIQAoJCSns3Lnzy8okVKaMrgNM0K+BjIwMEQB5\\u002ffXXFxqNxguUUg2llKeUcpU8Sl3Mal54fIOG6HZXTxQU2K86Ykmj0WDqJx\\u002fjzOlTFRmGQCml5DqspcKHJEk8IURISEj46vPPP9+VmprKwmnXCZbrfm1QpQ49r0+fPv+XmZl5nyRJLqJMaKnAi8m93c+fT8rOzg5V4vPehhaiKGLAkPsQGhYWcKQToMwvCw7GqmVLsGrpEvA8f00mu\\u002fq+devWzbVYLPtFUeQr072mIijnwHMcl9uzZ8\\u002fXlZ\\u002fFG30eNRX2KVYMwnEcFUXRhIrvHwkAbNmyJWzYsGG7jx8\\u002fHqYKnHpxh0dEYNZXixBVJ1pOkPE7CEKCoNHi0oULGPvQMJw\\u002fd\\u002faaqsRUD3fdunXz+vXr948ZM2bsUs7tZuyLCQA3IcR9E967RsM0esWgkiSBEGK\\u002f+lPLplu3bsNOnToVBp8edGrsvEfvvoiLT8CV3By\\u002fZrsqzIIg4NMP38X5c2fBcTwkqXzWrprhFxYW5m7duvXgmTNnbpw5c2Zll3Q9YF726wzbo5cDpS+ZP0hFDkopSU1NFSil\\u002fMmTJx9VzGyqviSlFHqDAQOG3Ae3q+whhWZzEFYtW4LVP6681lAapZRKJpOJtm7devSKFSt+UdpZV2hN1\\u002flgQn6dYab7VfAxg69bmEedKDJy5MiOS5YsWZubm6tT3oeoGrlP33sw6d0PUVhY6DdBRvWynzt7FmMfHoZLFy4AKF93V+W9PDqdTujQocO\\u002fN2zY8JEoigIANuWkhsI0egCUzq8YPnz4PY888shgAJKi8SpNRkaGxPM8tm\\u002ffPsRut+vVZpOAsucWBNwzaEhA5xsAZWACh08+eAcXs7JAyu9lp6qQt2nTZsrmzZs\\u002fEkWRebdrOEzQA5CVlUUAwOPxhK1bt27h0KFDe2ZkZHjUG0AlIACkLVu2GHNyckYqnWt4oKh4pUWr1mjTrqPcUdaPNheV8tOl39mw9pefvZ1nyomo0WiE5s2bL96wYcO\\u002fXC4XD9lSYeZyDYYJegCioqIoACQmJmaePn2a\\u002fPLLLwv\\u002f\\u002fe9\\u002ft7PZbGJlhF2JDSM9PX3o+fPnIyE74WRtrjxnyNAHoNX67wcnSRIMBgOOHj6EaVM+vNY+bB6e54WkpKS1n3766Sjlb5mQ1wKYoAcgJSWFAoDZbL7A8\\u002fyV7Ozs8Pnz5y+cNGlSo0oIO8nIyKCUUu3u3bvvVxxnEiBrc1CKpMbJ6NT1DjgchX6dcKpgT\\u002fngHVy+fLncgk4IEQEIdevW3f3kk08O6dy5c6HyOBNyRq2GAMDixYvNPM+fhmLe1q1bd9\\u002fkyZNjgTK98X5Rbw7Dhg27LSIiwglATX+l6tennnuJ7jiYSddu2UnXb\\u002fuz2LF2y066\\u002fcAx+vwraRQA5Xherei62iECoNHR0cdeeeWVBN9zYTAYirDr9fojkAXGRQihDRo02JGWlhahPOdahJ0HgHbt2r2lvJ4HACWKQIZHRNLlv\\u002f5GN+zcW0rI1\\u002f2xi2756yBd8P0KGhwSQgnhvDeHsg6lmSWNiIi4\\u002fOSTT3b0PQ9G7YGZ7leBEILw8HA17MRTSj0nT55sPX\\u002f+\\u002fO9++uknEwDpGjS7tG3bNuOpU6ceVF8eAIjiXe87YBCio+vC7S6dGEY4Dh6PB1Peewu5OTkgpFyhNEoppREREVKfPn1Gfvrpp5uVyAHzsDMYPhCO45CcnLwTigmsaFG3RqOhKSkpqymlGsgCW6awq6G5vn37Pmg0GiUo5rRSMUYtQUF0\\u002frfL6Ja\\u002fDtJ1f+wqZbLvOHCMPvXvFykAypfDZFc0uTskJIT27t17nO85MGofTKOXA5PJdEX9XtGigtvt9hw5cqTn7bffvphSKii\\u002fC5iAlJGRIVFKhf379w8qLCz05pKrzrQud6SiSUqzUrPVJUmC0WjEnr92Y\\u002fb0qd702LJQvelGo1FITk5+5eeff54BQMjIyGAJMbUUJuhlQwBAq9VeKvULQgSXyyXu3bv33g4dOkzXaDSSUsXmT9g5ANKYMWPq5+fnD6TygEb15gCO43Cv9X6IHhFcMU+7\\u002fDu3242P330b+fl55fKyU0o9Go2Gb9So0ZStW7e+BaUNVgU\\u002fA0YNgAl6OeA47rzyrVfC1LRYl8sl7t69e3T79u0\\u002f0mq16tz0ksJOAODo0aOPXrhwgYc8qFHpzErRvlMXtGjZGk6no1iFmihKMJnNmD93NnZu+0NOqLl6LruHECI0adJk0a5du\\u002f4liiKndMJh1GKYoJcDj8dzOsCvCCGEczqdnq1btz7bsWPH\\u002fwiCIEH2aqvCTiAnxZj2799\\u002fr29sXKmAQ\\u002f97h0CvNxTrICNJEkwmE\\u002f7cuQNzZnzmzZq7ivtNVIT8t7\\u002f++musGiNnsXIGE\\u002fSyIZRSZGdnHwv0BGVfzrtcLnHr1q3pXbt2fYrneQ+UEJaSCUd79uzZ0+VyNVWaKfDqPjyxUWN0Te0Ouz3fW4qqavuCwgJ8\\u002fO5bcBQWeh8vAwkAn5iYePCf\\u002f\\u002fznUEJIXlpa2s2qK2cwqhU8AJjN5m6CIFAAbgT2dEsARJPJRHv06DGSEKImpRBBENCsWTMbZG+4BwDlOI4CoM+\\u002fkka37z9azNMue9kz6SOPTSiXl13JeqOxsbFnH3vssSYAS4hhMK4FHgBSUlK6BgUFUcj736uFtDzBwcGuPn36DFZeg5s4cWJsaGhoofI8iePkZJe6dWPp8jW\\u002f0Q0799GMrbu9iTF\\u002f7DlEp89dQLU6nTf8VsZ7igCksLCwK0OGDOkAMCFnlIaZ7mVgtVoBAImJiR5lwGKZ9fuKGU9yc3OF7du3f3Xvvff2BiCtX7\\u002f+sby8PD3k2LlSjkrRq28\\u002f1K1XDy6Xw5vXzvM87HY7Pn73Le\\u002fopTJMdkophcVicXft2vXBb7\\u002f9dktqaqrAZoczSsIEvRzExsY6FdOdw9UrvThCCL148aJh48aN302cOPHuw4cP3yWKoleYZUebGf0GDobT4QDHyQpYFEUYjSbMmTEVB\\u002fbtKbNjjKLlJZPJxHXp0uXZ5cuXLwOLlTMCwDKlykCtYIuLiyvkOC4fgKU8f6f0fqNZWVmm2bNnr8zLy\\u002fMoWplXhzL0\\u002fMfdaNAw0VtzLooizGYz\\u002ftj0OxZ+9eVV2zVTSkWTySS0bdv2rV9++WWqJEksVs4ICBP0ctC6det8QkgOZEGn8DXh5aRzf39GANBz584RKJ+zmtWm1enQb8Agn6fKbZ9zc3Px4duT4XI6ryboHp1OJyQnJ8\\u002f+\\u002ffffX2EdYhiMSlDU3olaoqOjd8HHaw6AanU62SGmeND9HWr1GFRPOyG0U9duxXLa127ZSbftP0qHPTSqPOWnbp7naXJy8hIqzwvny0q9ZTAAptHLRNkHEwD5hYWF3uw4de\\u002fcsvXtiE9oiG++nq\\u002fsp0sP\\u002fPQVQolSgFIMHjoMHM+DELUtVBB+X7cW3y6cD47jA2a\\u002fEUI8lFIhLi5uw8KFC0coHndylYQYvzeBtLQ0sm\\u002ffPgLIWxQ2kphR2xEIIRAE4SsoGlXV4M1atKS\\u002f79hDe9\\u002fd76rxbo6Tf5fSvAVdt2Un\\u002fW37X3TdH7vo7zv20J9\\u002f+4M2aJhYpnWgWhJxcXEHp0+fXh8Ab7VatampqYJSlaYePJiTlVECptGvQps2bcj27dsRGRnpzsrKktNUlb2z3Z4PUfTg1TfexuXL2di6eZN3AmpJ1P32PfcOQVBICHJzcgAAeoMBH7\\u002f3Fo4fOxrQy66OK4qKivp75MiR94wfP\\u002f4kAPgLo\\u002fE8D47jwHEcHA4HgSz4vM1m45YtW8atXr0aHTt2DAsKCqrH83zE5cuXm8bExGybNm3ar2A91WsstVXQCSCbrwCgmrBAUfdXAMjPzycANG3atIHb7fZcunSpmBC7XS64XG6YLRZMevdD\\u002fOuJcdi\\u002ft3RYTI6FS4ipG4seve9GgV0e8GIJCsK6Navx3aKFZYbSKKWIjo7OHT169L9jY2Px4osvds3JyTFkZ2cbLl68qL9w4YLm7Nmz3OXLl\\u002fmoqKjosLCweoIgRLdq1SqCUhrmcrkshYWFxoKCAt2VK1eEH374gSeE8FqtVtOwYcO9jRo1+hEASUtLI+np6UzQGbccXIDjapNArpk+ffqk6\\u002fV62XRXMtXCIyLp6g1bacbW3XTznwfoNyt+pvXi6hc53kqY7WMnPEW37z9Kf928g27YtZeuWreB1o9vQEGKP9\\u002ffYTQa8ywWy97w8PDLERERjsjISBoREUFDQ0Op2WymGo3mqs0ofA5Jp9PRxo0bzz979qzJ57Nk1FCqu0aX\\u002fPU994dqOlNKQSnVTpkyJfTKlStBbrc7KD8\\u002f3+x0Ok0FBQUmp9NpKCws1DscDl1BQYG2oKBAZ7fbybFjx7r59mAHAIej0DtwobCwEPENEjD5\\u002fY\\u002fx7BNjcTk725sgQ6mE4JAQ9L67H1xuOdSt1erw2ZSPcfLEcXA8f9W+7AUFBWYAKSXXj+ICDMjOOd\\u002fKOd+vEqWUDw4OJs2aNZu8devW12JiYpCWlsYxZ1zNptoK+p49e7Qvv\\u002fzyqBMnTsSYTCYtz\\u002fNhlFILpdTkdrtNkiQZXC6X3uVyaZ1Op1BYWKgpKCjg7HY74XleIwiCjuM4rXJoCCEa3xJS5YYASZIgSRKcTqd6s\\u002fC6uEWPB26XGzDJ7Zrz8\\u002fLQomVrpL\\u002fzPp5\\u002fagKcDgd4QYDo8aB7j95omJiEnMuXERIaip9WLsey77+5puELSqjO1yLh1HP1JUD8XQTAh4eH2++4444Jy5YtmytJEp+WlsY87oxbFkIp5bp37z4kNjb2XHm6oZbzUHu5iZCzzNzK4VIeK\\u002fZ8rVZLv1v5C924a7+3KGXtlp10x8FM+sZ7H1OO4yjP81Sj0dA5X39DN+3eT3\\u002ffsYcuX\\u002fMbrRtbr5SJX4WHWy6iqXvk0UcfZZ1gayHVdV9GCSF03bp13+7du7dpy5Yt51gscnYqIcSlaL6rHf4EAija5\\u002fMoCllp4OezopSi0FEI3+5PPM8jNycHfQcMxL9efhWiKKJT125o2qw5HA4HtFod\\u002fvvx+\\u002fj7zGk\\u002fDjiizFSTD9V7znEcOJ4H73OUB8VCEQVBEJo0abLl8ccfv3PWrFmblTWxTLpaRLU13QHQ1NRUISQk5LJGoxnTo0ePDTt37vwgKysrRGnuwF3PjLGSU1PUn9UKM194nkd+Xh6GjRiJi1lZaNI0BTzPw2Kx4MflP+DnlcvB87y3wwygmtu0WDbtNYxa8odEKYVOp+ObNWv2+ZdffvlM8+bN89VJrpV5YUb1oyakTqqedOnJJ59M+fnnn\\u002f\\u002fvxIkTvRwOByBr7qtaLaoGBSFFH4jyvbpPDyR0\\u002f531Bdp16IzCwgK\\u002fAxG1Wi2cTic0Wi1OHT+OsQ8Nw5UruX5fS6fTQafTQ28wQKfTQa83QKfXQ6fXQ6\\u002fXQ6PRIDQsDI5CB375aRXcbpffMlZCiEQp5UJCQpCcnPzCzp0733c6nczpVoupCYKuojZd5Lt27Tpx7969E3NycvRQmiVWUjsCRPaU67Q6aHVaaLRa6LQ6TEyfjFa3tw04x1x9X61Wi71\\u002f7cae3bsREhYGnU4Pk8kEnV7+qtXpwHM8eIEHzwuyiS4IxUz1kNAwnD51Au9OSsOm39cHugGJAPiYmJgrrVu3Hrtq1arFSk48G6ZYi6lJgl5MY40cObLj+vXrp508ebKlKIqqFismiao2rBtbD+06dAIIoNcbYLYEwWQ2wWQ2Q683QK\\u002fXy9rVoIdBb\\u002fB+r9frYTAYS5nuSjtnlHgQgkYDrU4HKkmyxKnNHilAIefBU+8h\\u002f0L1+luCgrD599+Q\\u002fsqLOH\\u002fubKCPwEMIEWJjY\\u002ffef\\u002f\\u002f9Iz\\u002f88MPtYK2eGahhgq5ArFYrZ7PZREqppXXr1m8fO3ZswpUrVwD5gvf6JVRBN5vNGPvEU3hg1CMQBB4ulwsajUYuMKESqEQhUQlUETpVk6rfA0UmPsdxIIRAbTThq+VVIS51wvJgplKPU0kC4TgYjSYs++4bfPBWutdyKJ15R0W9Xs\\u002fHxcWtSk9PH\\u002f3AAw+cZ\\u002ftxhkpNFHQVHoDI8zwGDhx4\\u002f8aNGz+6cOFCXVEUAzrqOnfthqdfmIiGiYlQbgxeQZVl0bcMnXi\\u002fUiqB5wWYzGY4Cgvh8XhgMlvgcjrhcPg36a+GJIrQ6HQgIJj12aeYPX2q93xKpMpKAIjJZCLNmjX7bMuWLU8TQtzq+q\\u002f5jRk1kpos6IC8Ph6A54033ohftGjRJ8eOHRtQUFAAlHDUqQIUVSca\\u002f\\u002fzX87j7ngFwuVxwu91lCqri2UZubg5WLl2CfXv+RGFhIeo3SMDd\\u002fQeiSXIKCgsL\\u002fM46D4QoijCaTMi9fBnvTPoPfl39UwnvfNFTAfDBwcGuDh06vLhmzZr\\u002fU3LxWXEKoxg1XdBVeACiRqNBhw4dnjp06NDkrKwsC+SBB7wqPL7actB992P8U88gPCIS+Xl5XpPcF0opNFotzp45g\\u002f+8+C\\u002fs\\u002fevPYr+3WIIwcdKb6Nn7H7ArLaOuhiiKsFgsOHLoENJffRH79\\u002fxVtIXwI+QxMTGX2rRp89CKFStWUUp5Sqk6c53B8FJbBB2UUjUHXHr66adbLVu2bOrp06c7ud1uSdnjcgCKhasSGibiXy+\\u002fis5du8FeUABJFIuEVXGkaTUaPPfUE9iwfh0EQfBOU+GVmWkhIWGY+dXXqBcXD5erdMzd5\\u002fxAKUVQUDDWr\\u002f0Fb6a9igtZ5\\u002f2VvVIoE1kSExP\\u002fuuuuu4bOmDHjAJipziiD6poZd834pMnyU6ZM2XXs2LE7OnTo8G5QUBBRhNwDFJnGHMch89hRPDVuDD798D1QKsFgNHqFTqIUBoMRe\\u002ff8ha2bN3kdcKIoQhJFuN1uCIKAnJxsZPz6C3R6XZllqBzHwWQ2Y+G8L\\u002fDC0xNwIeu8t2mkzxoAgOp0OiElJeX7Tz75pMeMGTMOKH3cmZAzAlKdM+MqAgUgWq1WnhAi8jz\\u002f0oABA9bt2LFj6unTpxMURx2hlHKqB12SJHwxazp279yBZ158Gc1btEJBgR2SJEHQaHD+3FmvpvZXXEIIwZmTJ+FyugKa7mrTyA\\u002ffnoyF874AUNrppjSfIEFBQVxiYuL7O3bseJkQIlqtVp71cWdcjVqj0X1RBIOIoih8\\u002f\\u002f33P7799tudmjZtusBisfCqCQ\\u002fAK2g8z2Pn9q14YvTDmD93NkSPx1t1ZjKZvH3ZSyMLf1BIMARB8KvRJUmCTq\\u002fH+2+lY+G8L7w3gxLPpZRSGhYWdrljx47jd+3a9YJaycaEnFEeaqWgK1DI5jr\\u002fwAMPnD9w4MCIDh06PB4ZGfm3T0UZANlBJk9QycfUKR8iK+s8tFotCgvsSGlxG+Lq15cdcxqNN51WHYkMAO06dkEgJzghBFSS0O3OnjAYDN7HSjxH0mq1XFJS0tLVq1fPoJTqfNbAYFyV2izoKiIA4vF4+F9++WVap06dXtNqtQGnkI6b8DQSkhrB5XJBlCSEhYXjiWeeg0ajgdvt9jrVRFGEJIkY\\u002fvAotG3fAXa73W\\u002fVGSEETqcDve7uh+dffb1YoYsKpZR3uVx0\\u002f\\u002f79D\\u002fbr1288ACdYmSnjGmCCXgSdPn16xM6dO59TCmK80qY6xTp07oL7RzyEQrvdm\\u002fWWn5+PO3v1xvuffIbb23VAUHAw9Ho9kho3wVPPvYgJzzwHt9td5hsTwiE3OxsDBt+HcROekjPsStwUCCHIy8sTfv\\u002f99ykjRozoDcDDhikyykutCa+VRWpqqrB+\\u002fXpPy5YtP92zZ88\\u002fPR6PCEVjqtrVbLZg2tz5SGzUGI4SBSzyLDUTHA4HTp88AZfbhTp1YhAZVQd2e365zkE18\\u002fV6A95MewXLvrOVCq2pVWkRERFZ\\u002ffv3v3POnDn7wMJqjHLANDrAZ2RkeO67775+mZmZ\\u002f\\u002fR4PBIhxBtTV73p4yY8heSUZigsKF2OynEc7HY7KKVISGqEpinNYQ4KQl6AclR\\u002fqDcUt8uJ519NQ+c7Ur2+ARVKKUcIES9evBi1Zs2a79PS0qIBiGlpaez\\u002fyCiT2q7ROQDYvHmz+b777tt6+vTpRpAdXBxQFOLq2OUOfPS\\u002f6XC73WWmsvoWrXhr3AM8T92Ll7xpSJIErVaLK1eu4OnxY3Bw\\u002fz5\\u002f+e0ix3F8kyZNNu7bt68XIaRQadXMas0ZfqnVgm61WvnvvvtObN269czdu3c\\u002f6vF4RKV22yukwcEhmD53AeITEuBwOEoJpq9wXz3FlYAQQKPRQqfXwel0wulweIVePeTxyUYczzyGp8aNwflzZ\\u002f0KuyAIfIsWLRbv2LFjuJr1B+aJZ\\u002fihNgs6B0AaPHhwn9WrV\\u002f+Yl5cnoqgnvHd\\u002f\\u002fPyraRj24Chcyc3xmtG+Glmj0UKj1QCUQnHi+UXdxy+c\\u002fyWOHj6ENu06oEFCQyQ2agy9Xg+PxwNRkuBxu+HxeCBJIoKCQvDHpg14\\u002fqknUFhY4H1vHzyCIAitW7d+e8eOHRNFUWS15wy\\u002f1EpBVxpUYPHixeHPP\\u002f\\u002f8lpMnTzaA0vMcKDLZ7+h+F96b8j+4XK5iAsYLAkxGE0RRxKXsi9i2eTMKCvJx9z0D\\u002fdabU0rBczxcbhcmPPIw9u\\u002fdAwAICg5GXP14pDS\\u002fDW07dERS42SEhYcjJCQUlFLk5+fBZDZj6Tc2THr1RRAQgBQTdgpANJlMwu233\\u002f74b7\\u002f9No3VoDP8USsFHQBPCBFbtGgxbc+ePeMlSSrlZQ8JDcX0uQsQG1cfTocDBqMRGkEDSiVcungBf2zehB1bt2DbH1tw+uQJGIxGfPXtMsTExHp7ualIEoXeoMOxw0cwcthgbx\\u002f3kjPaDAYDUpq3QJOUZkhOaY4WLVuhTnQMgkNCMXvGZ\\u002fjwrUmlUm2V1FgaFhZGunTpMuiHH35YyoSdUetRY8+DBg0aYLFYKOTQlLf9s1r8MvH1yXTnoRP0jz2H6Na9R+i3K1fTtz\\u002f6lPbtP5BGRkUVaxOtTlF94ul\\u002f0+0HMum6LTvp+m1\\u002feo91f+yiW\\u002fcdoc9NfE15D877XhzHUY7jvO\\u002fre4SEhtEWLVvRB0c\\u002fQqd+\\u002fiXt3rOX9298n6eMT5aio6PtTz\\u002f9dCffdTIYtREOADd37tzw2NjYYwAkRUiKDVPoP+g+uuPAMbp09Tr62uS36V29\\u002f0EjIqNKChfleb6Y4CU2akx\\u002f3byD\\u002frb9L+9AB1nQd9Lt+4\\u002fRrt3vLHNog\\u002fpaPC\\u002f4FfzwiMiyBj6IAGhsbOzxt99+uyEgb1FuzMfKYNxa8BzHoVWrVrMVLewVclWwTCYTHf\\u002fkM7TfwEHULGt878HxvF\\u002ftSwiRHyOg73z8Kd2+\\u002fxhdq2j1jK276Yad++jSn9fSOtExgQTdDXmais9gCXJVjV\\u002fyUGeox8fHb9mzZ49ZWTMTdkbtQTVlBw8e3N9isfgRrOJmOHyEWNXcJZ\\u002fre6jC271HL7rpzwPFRzQdyKTv\\u002ft9\\u002fKVGEtuTr63Q638fUsVAeyA0mSm0rrnK4eZ6nycnJ32s0GkD2PdRWXwxDobbc7YnNZhOXL18eunnz5ql5eXlCoAaRoiiCKCOQVMeXKIqlHGCKAHpRY9wb1q\\u002fDkUMHodPpvCE4j+jB7h075K6upPhHrtFoCps2bfpuTEzMvKSkpCyDwUA4GR4AR+U39ijpr1eNkRNCBFEUPSdOnLi3TZs2UwVBKBY2ZDBqLKmpqQKllGvduvUXisb24O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yEIQhCkkGwZsqOqKp4cNqRODh9SGx0ysCZWFgsnKitj6ZrKuK6qjImyeDRQUR4Nh4JWrPeC36YvTgDIdVWuO5FOdnWnc+2dSdXemUBrRyLQ3Z2uaG7rcnc1NXfv2tNiH2jusDLZfBVrDiilWHu8FpZlIWCZkFL416VIe1\\u002fJYPZ9CgxBhkd670+snCQE5kFhoQbP27vmgWW9Fzhz5mxjfsmpd1woEb1fFKTGIbb2xI+eBkNfQIwGAk4jIauJDLB2PDW88NAWpTUghCCAiio2a0bedpDP2flgyErU15aLEUPqI7U1FW3jRg1Mnnbq8MjYkQPq4rGIjoQDTjgcJAAmgACOcL88ReCdec7pUF2+LxwAtu24KpXOynQmF2ja19b51sZdHRu3Nhn7DnQM2HugzW3a15rrSqTDUshoMGjB8E0BQwqQIGitWeuCj4J6mTJCCGkAIGjXzjLxToCeZehnIhlj1ebNv0sWV9LQ4KkFjSVnXn8oEb0HPQ61XgQfOPH2sVKI64joQjDOF4YV8jzgGsxKg6FRdER5Nq7nJyM4rkYqnQEz56KRoIhGgnZddcXeC847PXzWpFGVgwZWdw8ZVCNqq8oq4RH5iHBdBfgPcEE\\u002f8DcSf+3vDDz7m7jg7e+1n1DBZj\\u002fax3M5u2NXU3Nmz\\u002f7W2LadB+X8RWtbNm7dG0umMpWJVMZ1bNcMhYIyHAqCiNFj73PBL+kRV5BBJEAkwFqDWa9m5teF1E9EstlFGzY02sWzFp15JUlfQInoxdDO\\u002fGJse\\u002fCkOwZB4DIBcRMDM4UwAkQCWjnw1HFPYgPe\\u002f6WUxAzkbQeuqzzp7arkkEE1XeecOS42Ydyw9vOnjZenjh48KBwOKgACgFU4n2eP+4KsJ4rVy0dG79obxQXTu+eFns2AAOltRAUoAG7eduSBg53di97c0PbWxp116zY1qZVrt+WzWbvONA0pBBCwLBiGhNbKl\\u002faFg3saEwlTEAlobYM1NoH5ETLw8p4VDyzqtRpCQ4M4UojzHwnv1ufnHYYf5+6Vrjn67FvjtmtdAOY7AJompDGEmT1nGrT2HjAIAkC+GGMArqOQSKbZMGVyUH21MWpE3YEPvO9c88xJo6qGDKxOV5TH4gCCfc4OQClPQgsikBBHV5CP7zv1+vHQVPQTPXo\\u002fnymu8MSOpTWYWYHZM2OOoAF079zd7G7dsU889eIbB9e8tWPg3gPtoq2j2wiHQqFwyCpGILTv3OuJVkASSZAwoN28w8AKIegRKP3k7jX37+o5xWx\\u002fx\\u002fnH9Nz\\u002foxGdMHOm7CO9J952Gkl5PYE+RMI4jYg81VCr3pKbiMBSSFKakUpnAUBJSfmxIwcdvOKiqZWnTxjRdf45E2LlZZEK\\u002f9AC8DinlGI\\u002fLEX9hbBODNyLyAXNlADfc\\u002f2Og72s2Z5Hh054E2Dfm6FZAQwyjOLaC19Ird+yZ\\u002f\\u002fSZRsjry1el1uw5C0rn7erlaspGApQMGD1J+k1CAYJAwSCVnaWiZ4koj\\u002fsWTn0uSLBe9T6fyjC\\u002f2MQ\\u002fZCbO\\u002frsW+M517qYNH+MiM4X0ox7cW1X93ameV5wQa6r4SqNVCqjyuKR9jNOG2Gce+ap+65\\u002f\\u002f3kDhg2utSzLDAMwABRtTGYGEfgvk9YFMhfC0QLHdatUDlAZsJsBdN7\\u002fPQdWacBNez9r7zVoBxABb4OQFohMwIwAMgSSEUBYgAgCMgASQUCGACNczIQ79voLPCrulUf9gNIaBQ\\u002fmIQ7AVEtbl1y6cnPbk88ulqvX7wxu23HADAQDsaBlwDAkiACliqzXXmafEEKa0NoBWK8D0QNM+ommFQ9sLx65oUH+ozjv3stE95xrAAoEHzzpjkFE8nYSuJFIngF4Jjc0uyDu61AjgWzORiaTs2OxsBo9fGDTbddfEDn\\u002f3NP0uFGDqwGECifyvensS6YTuKa9Es2Kv9ORyaRtsNMFZPaB883gbDM4dwCw28FOEnCSgJsAO6lehM+B+BAJXPy35\\u002fxcJKe3wZC0ACMCyDDICAFGFDDjIDMOGHFQoAoIDgAFa4FAPSg4AGREvc2jP\\u002fW8d1JPn0R86veKKaWZmWEYss9fuxPp5qUrNhvPvrK8+6V5K6Idnakyx1WBsngUgrxEIi5686A8KS9BJKGV3QbgGQj5mz0rfrsEQC8p\\u002f94m\\u002fHuR6Iep50Om3j4DyriBiG8jaVZ4eqOrvJ3fEx+e9JaUy9twHAXHthNTzxidvnD6JPu6q86Tp44dUg1Pahu+84wLiS7HCEEdgl7S7kjqttMNzu4H5w6A03uAzG7ozF5wpgmwOzxpzA6gXe9nsHcsktAsoSEgBSClgPYC973I5z3LfYSsIF+6m\\u002fAieRJQBFaemk4KYHa9dbOXAASSgGEAwgBJ72cKVoPCA4BgDSg0EBQcBArWA4EBAOJHuhpQruJCKPLQa8mFvFtfU5KyuAnmU+ms+8Jrq5qfe2VZ9JUFa3Qqna23LBPBgAUpCK5SvXYyYgghhTCglaMBXgwtflljGE+sWPHrDID3tFr\\u002fHiL6bAFsoELe9OjRlwfsaM35gPgsiK4Q0jJ8Na6QUSWJiAURMYBszkE2m0sPGVTjXnDO+IMfveXSiimTRkshRFXhDJ600CykPH5qc29JdrgKy3YnkG8BJzaBE+uhk9uAfCs43w7Y7Z4KTqZHLGEAkOgrDb2UUkABQsOyABgSsAOcsYUrQSbZCjrHIFEGqCg4Z4AzGtztQHfmwK0psK0B8o\\u002fPAmDpLZ0IpIWfUtt7\\u002fQyQJwSJFLzdwAHYBussyFIQtTUQtQNBNfUQVbWgcB0oPgSiZpT3ezTGEELBN3v8i9xzrfq5ylpr1swwZB9Jn9vd1JJ+9fU1qYcenys3bd1bls7komVlMSq4TbX28w2ZVMGW926PWg+m+\\u002fLafqB57e9bvMO99xx37wWi95Hgg6c1hJCN3iQEfZQIM0ASrF30ZKl5dRbSkJS3XWRzeS0Fpc+dckrbTR+aaXzgfecEIuFgNXxnmuv6jrQTsrV9qd2fbZ07CN29HjqxGUhuhk5sBHL7Aa0AKE+NF4ZP7kL1Gry\\u002fswtIBkzpSVEGWDMAC4wKGGkLK3fr3Mu7hNmarsaOrnD6qzUZnrx\\u002fV1mqJQPhqp719PZjafRR272reogW29+X71PkRj3\\u002f+fFuLxbuAnC9tQPe9xESwcGDsX\\u002fU6fpXut4+9fQx9hkj6u3TJ59SbkbCfUnvuev7Jb2X869ZCFlQBDQAe9nKLQf\\u002f9Nxi67E\\u002fL0JXd7pOCJLRSAjMmrUuLJo1QExCSoKA0s4+Ah6USt27c+2DWwC8pyT8SUz0vtlr9Wd8pMYifRMzPi2kOQ4gsLaLYTEAkFIQM+C4ColEOj9kUE3ysgsnd33itsvD48cOicLXL\\u002f1iDUghjjM2VVDHD7evObsXnN4F7lgB3bEMyOz1pLib9IgsfZW5IO0Z3gNO2le3FSAYFLAAEQenBXRLFmxXgFNRqJ0pqF2d0MpE1GXcbw\\u002fJfWpP1CqXtsgZhvutsvYDn1bbh3QaAZYFZhZJ3Our9fmWh3zlI1mudJQ38aFv6tEENAgRO4NXAgPtW1trLZHN2oFwSF00plb+7uoxbEyaEhDDR0DU1PZ72kNvil\\u002fowwUHqg+7syuVe+qFpS0PPzE\\u002ftmL1dpMEVYZDAc+k8eJ0KDhIiKQgYUBruxPAI9rBz\\u002feuu2+dfwY\\u002fHHvyxuNPRqL3SYIYPP5jlSLofgwsPi6kMdbLmip4zyG9uDcxkaREMg0SlB01rP7g3XdcLq65fJpZWREbWDiw66oTcKj18oz3trW1A05vh25dDO5c4UnsTJO\\u002fcl\\u002f9Jv+\\u002fwgZRfN5cwALICgJKgrMugGro9jDcde3gVAicMqB2d4NTWU\\u002fn8DVcDUZIKGww4rguM5qDBGp1pfpoqD31o8CeslaXeunHf18oEMrJxa+DY7u\\u002f0VUeLYMrW1zCdErk\\u002f2RusLodTebwkZDjxsEYPxHmmWdBjhkHyJ7rrDQXsxAPFfZeOLOPvZ9aunxz4oHGV\\u002fPPvry8sjuRDkejYdMyJbQX6AcKBUeCDCEMaNfJMvCYEPzz3SvvXwrgpJbwJxPR+xJ80h2DBNFHGfRJYZgDwBqsirFvAYANKclVGpmcDdaq5ZKZk3MfufmS7PsumDIYAmEApJTqXQp67FWwr\\u002f72ltxuCrprNbhtMXTrQnB2L+BmfFU7BAiz1+fRo4oLDZieikuGAVAF9D4F1WyBu+Jw17VBd2QBNsAZG1AOIBlkSaDglOKefwJgHGTLuSI\\u002fIee4KpZQwPsq4f7G2oJcKmuQOJ7Q2DsPF4QacvBVZ3jql\\u002fnqcDVc0clSXxlIHrg3uGNQJ0vIfA6czwGmCbICME6fhOh3fgRVXgHXUQiaPaTXvqNOCDpM0mvNfRx4+5s7un\\u002f30Et249OLxO69LbXhcMAIBqzear2XdkskhTShla1AeBQa\\u002f7tn9X2L\\u002feP4EZ2Th\\u002fAnE9EBAANPub3KCBqfAuHjQppDWbtezjkAPzzGRETMhO5EkuPRcMdVl53V\\u002fOmPXl0xYdzQKIAYAGjP6cPiGMnafRJUepPb7gR3roI6+BI4sR6c3umRW4Z8qd1ThQW\\u002f3sW72gowNSgYAXImdCIA3VkJd1UbuJ2gOxi6JQEIDTKlL7XZJ7a\\u002fVH24Ls0ADGbkrKBzJ4\\u002fPr+50owLA4IpQ56PmRqMq0x3LkYR4F0SQNANRA\\u002fhkbiQ\\u002fkY9RFSl0Q+qPlmf3fNPZOLwbBqQgMAlP2moNnUyi\\u002fLcPQEw9Gzc9tA4By8Ctk+pw1uAYqsNmr2N7bkPRN22YlVKQvRx4Xd3ptqdffCPxq\\u002fufD2zatq\\u002fMMGQ0HPKyknUhE8ezMnzCuzYYTzDRD5tW\\u002fW753+ZKvX04GYhOADByakNcqfDHNdGnpTRHsFZgrV2vrtljlFFwsGVtVRYL7r352pn5j992uRwxrG44PHc1lFIs+3psj4CCQ62XWq5y0G0LodsXg1sXgdO7vfcI6SWX+G2filZkQXIbGmSZvn+uBqpJQG23odvjcNc1A3nXc6qx8iNc0nN0FQrTjxOaGWFD8pfVCPw+GaVKqZEWZvszwY3m6ZSOJ1iw\\u002fDvfcwZgao3OcNy5PT9Gb+l2AiEJpEni+4NyrQ2dG2uSMCBZw2QFkwDDMIBUEvrT\\u002f4bgRz6GT\\u002fxpM37z+l4gbGJEZRBXj6vEpaMrcfHIcoStnvvlaoY8RMprgLWrCtl4DCD5zMtvdv7ivmfFGys2VwshQoc57hjKa5xhgLXDYDyiQN\\u002fdt\\u002fp3a72jvvvr4t8tZttRwACIXVhhJvq2FIalXdsFQcBr1wIhBJRiau9IOIMHVLd97q4PdH7s5kuqKyvidQCCWnsV0FIIHJ3kh3jLSQKswIkN0M2vQR98GZzZ7WWZGWHvv+JH\\u002fc8Wyi2lBgwFCpWBO02o\\u002fUGoLRbctzqhMxLckQRkOyhgAGahUYPhHaenUO2EoEkgpG0a4iZsl+JSQMmcq8parSjISQPvgo1dQSAoGPtzWm+3oQKCoAEIZn1Gvq08DBdBMJRlosuMuAeVdDpsJbrNMCate0sMAJkfOq0G9755EJYlsKsjh\\u002f9Z0IRfv3kA46rDuGJsFa4dX4WzBsdh+Moas7cJCuGXGRqyILVJCBG\\u002f+tKz4ldfelZy0bKNLf\\u002f1yycxb\\u002fFbcSGpIhQMwNPkWQLMrBwNAEYgfBOc9GsArfHsdrzrnXQnAdGJAaY9K+jA0DPuXMrgGYWyUMDfkpNZu6627MCX\\u002fvna3B0NF0Xjsch4oHCDNUuvJvwYBGfvkL4E53wb9IHnoJtfBXeuAlTGTwu1AKvCd6Lp4sc9XjqgkAHAAttR6N0xOGsz0AcMqB1tnvec2LOzYxKA9NX6wjL+OsFAACsNGhKU2ZBLIaUgJWBsDdckZyVaosTvPNEPyfEr5t8xCGCNIDsIS41mGTbTKW1VELOCIBOc3GqUiZWx8vTWhCvabDN2UJTzXle4u9LKHBnQuaf27TaQ6DInDCzDwPIA9iZsBAwBMgVczVh7IIW1+5L40aImzBhWhvefUoVbJtaiPmahkPmgmCFAKJhszAylNBuGjE0\\u002f+9TY9LNPzb65anP7D3\\u002f+ZMe8xWvrpRBhyzLBzH5XHGjXzqYMJZcAOMKAi3cfTgKiA\\u002f5kEmbQAoK4wE96AABIIbJf\\u002fMx1Gz931wcGBQPWIACGUppJCggCSTqaDd5LPfcfBG5\\u002fA7rlNegDL3rppcxeKqhZ1qOWFxxyGvBsbgKZAsBAuNs0dFMUzvJOcHcrOJsHGRoUNvy4c8HO9s\\u002f\\u002fNoIAsgGMCOhAeYZlzvXslfVZ0a0Zkf6TTf86aKJC0hoJ1jDAMIggwbCZkAchCEYALrQVwLZgRXZPSunHUW9GJFlCeFqMUjr+uQNRzihw1lFgpcjQ3WZVxDIZBqajyx3Y1RzNbd+OwZOnYmJ9GE3t2SLJCUDAFF5BCzPmbenAvK2d+O6CPbj21GrccHoNLhpV0UN4zSAiCCIYhqRCLz4hROisyeMGP\\u002fJ\\u002fX86v2bBr36e+\\u002fDNzd1PrEP8tmoQhWTmbsmZgh3cF7mFgztt9Wd92nBxEb9hAaARY8MJe5hCTEGTbTuetH5pZFwxYdY7jQkrBUh7DwVZMQfUluJOAPvgy1L6nwN2rAaegmkfgy0lPhQd5IW4CCA5E2AA4Ct1dDmethNqQhdqXB6faQUEJSIAiXpZZfw60txsERp4khuS6g3FVjRQkBAHbEo7Fgb+O5Azya9b8FFoAxIygdhEgkCEIOSvACRhuh6N4R6DCHCAVxmdaaI8Vd1+yBmZfSFpiuwobuzOaOJOxDJ1HwnYhpUAsGqaySIAGhSxUxCMYMqgGgwZW48nnliCVzNvjo9Sp2zui+aYmDk6eSlMHRPHsho6iEtQTEfdIHwwZYAba0w5+vXgvfrviAM4eHMNtk+pww+m1qI54Djztf0YU24AxlGY2pAhMGj98eG1lfM\\u002f2nQdhSANgMJEAC15+YMWvMw0NDbKxkd71ajtwshDdV48UqY2kuJlI1gFKS0HUlkxXv750Q+Lm62Yq4eHYD3ShF3l6F3j\\u002fs1AHngMnt3oMliHAKu+rmgPQTJCkEAgB0GDFAyi\\u002fXkJvNeCs7gLSOc9nEyBQ3OxRyd8ByX3ErwVAgxBXWcSEm1bajAitkSSjOhuOspFKEkt5XCaCBvmqt+d6tlgh4CskCsSaGbYVoG2RKmdrXqb3pHVof6DC3IxIbpujuC3D2cerD\\u002fDvQqOCv8zV6M3N2aiTtxES3VQRCWDEqUMwZFAthg6uwdBBNRg2pBZDBlZjQF0l4jHP97FrTzMan1mMGJQxI2RXZ3J5iL1NBADjayMgU0D1810YnsQGAEMQZNiEqxlLdnVjyc5ufO\\u002f1Jtw5pQ63n1GP0VUh9FZ0iAiFOprmlq70mvW76i1TepeMWLJ2QWzMB0CNx3dLTgTv2INychAdcxhgOrDinr1DJ+9aK6RxqXY1a605Gglbr76+uuXm62ZGpBShox\\u002fHsxw5sRFqzx+hm18BsgcBGQTMqP+WgmoOeOq5V+ocDGi4OqIWbytXD60cmv6njpbgqL3NoXw2CxEygCB5vkHNgPr7mm1ExCOjpr2+ExEDjG4ZcPcFynJjUt3xLEv0jqYX7GfvOWZIeIkoAf8aZMhAmF20B2L2Xpv0gWB5YGOwJr0mqZ29KTfelQ3IVgehRNYx1MG8qAilY5ZpYESIur+fr88t6kLMTXbKMUOrMeOcCXjfRWfitFOGobIihli0\\u002f9vlugpSCixatoEPtCVoTEXg4IBEa42yghBNuwAAI2sisCRB6WN6X3pUe8sAEbCnK4\\u002f\\u002ffHEnfv7GAbx\\u002fXBU+fe4gTB0YLfoV\\u002fFAcXl24ujWRyg6ORUN+OFYQtMrGlbuQAdzT2Mj3+CnVRzn9XwXuu1kQZgONGxqoAeg7PLMwLHN8I\\u002feyJLiwtpOE6GDMnGVg\\u002fnwX\\u002fOGVzHyp59thGIbEslVbY66rhGFIvw78SHeeoLb9DGrbL71iERHoV3oD8HsrOOCwAQNlWLO9PvefL8Ro8WaJbocrjJpY2w\\u002fNfcGMsKgYBnuHGjSeCBiexXCKkQ8\\u002fBQOmADpdcnZmOD1BUDxd9JN55JZaIQSNgCC4hkQGUuUU6K2ywYq0yk\\u002fr3h1dFa7Pf0GNURtyCtmOLDl2OgpmhAImIqaL2kggMG30AEw6bSReW7wOu\\u002fe2cKtjle1I2GWVAQO3feJq3HnzJRgxtP6w9Sqli\\u002fesUCJc6B3\\u002f1qZdlLJdzKwKW8GMppxhgg7uB\\u002fI5jKgKIyAFUkrBIDomo7zb490nyyAI00RX1sW9C5twIGXj+Q+f7iXXeD2ECIBaunxTjeO6hvAyD1kISWmXFu5ed\\u002f\\u002feQsL8odY5e2QkbGigFTt2iKnHe+OiUX9IZaPuvXEcson4JD4OXeIQnCxEL+5YCrRAsvtlAIIBklKgsytZu23nwaZTxgwazcx8WK0j0BM2YwacFBCs8cs9+zGxSAMhAnQt3E1h6BWAsbHdWJ6MqYDhBOoM4KlcOPThiprU+FRzLE2SxeFjjP5uEGCMzrRbChGWBMq6WjalVdAwNCxossAQYBhgdIejvFHGMrszLm03q4LLqSy9sSNntdgh84HKg7k94arQp5xRtK0jEy4zgdPGDMDggTUYNrgWY0cPwimjh2DUiAGIx8NIpXN46fU1ABHZeRvD6yvx4298AhecexoAj9R+kx1fTFHvrDUAKDjEkMnmse6tnaBgMD850xwOsTLSUkB0dgLZLOLlQdRGTSTaVY9r\\u002fzjB7HnfDUlQIQPXja+GvxxoDZZSUDKV7V6yYrMTi4RjSjMLAFkWuM5qCf1yxqQftMGIC4ZJhACYLSYKECjQCW3pVxEQ2G4NDyHYwcfu1EEAWKXydCDp0Iyp+Q5GHsR5gHJg\\u002f1\\u002fiPINy0MgSIQtCN0EnNZAVEDnNlBfMOUWcFcQZpWXeEW7HwIWrW4GTieheYwCkuGxxXHd1CCErmTUbUlBbd5JfeG25PmXMIGjNOFqmp6iZCbXzXkDbONyEIgAuoKuh1lbCXtwNvasNSuUwLkzGpysq7O90Vahq4cr2nBv6jVvX8ROrPQJbiaPqj38jMLw8cs1ADedsUwjN0CFSKtgSrRB5M5k\\u002fmHDFwVC5sS5YnVrd5fLejBVrEhGxJ2lTPpMV5cFcnKSJ0TLbMlzk4p+wR\\u002fGORN6KG8D353wCs847HdVV\\u002fdeWvzxvFXbvbUHAMhEOB\\u002fDrH\\u002f8zpkwcXSR4gdTa93AzvFBX733ZK00BDh7s4HWbm2hAPJQdTftsx9FhMgzmjg7ifB4mgJHlAWxrzYJQKKM9fhA8lT4cMHDx6Ar\\u002fNQKzJkBg2879wW079lsV5TFPlSchskonr7C6z4BpzohqAb9aAVw4OwOe8VO4H8e3JvbP3d8aC+WWAuTlBXgqD4qzrlyFTsdxibiZgX0CtFaAVkK4G0w32Fo41slDdH\\u002fP7l7z06745DuXQIiroBQzM0zDDC5dubkMQLeUsqzwsPSBXzZJsTGgyAhw9zrPq95b3fbStqAPDELukd1gOwEKGSCykNMuGkSL+bBV5jbbJMski6e6jfDt1bWJKc7+8iRET3XY3wGejQ3ESSFAjIEhoQeR0K1pIC6Al3NRvd6caK9zHdnZbJt5x406WsAkl0KiOzR+UDXGjh6L9Zv28K7WlJ412KKvpAZidZIMzmTxqc\\u002fdgOvfP907F3t2bEHVBjwn1sI3NsBxFKQQ+OZX7sCUiaPhKgWjVzEK4KWnHnlj9B775Wu2Umc2j3NjIjwu4IYyOb\\u002f6MJ+D6uqEUVeP+mgA0H9ZcoAQBDvn4uJTKzC0LOB\\u002fh8L\\u002foF95fU2rYchhYA0BpjwEhom8niAy+bSrQzkvba54am9IVVFRKf7Dh9jwfahfGLpX6HMNloJImkQwCmFAeH0QXNZghX0M7AB4pwDt1uC9imif1GJ3zuYdg1asyBzp+55MRC+0\\u002fFHEeh6RvIrZ0UppGY1GsGjZ+mxLaxdqa8rLlNL9h9hYAzIIUTkFqnvt4ccnAC5BDOgAVUigy4t9C9bIQmKoSpk3h7oz37XLOUKKUo4O\\u002fyhfn70\\u002f0OHIXN78e0l1BkGyghZSL6FKvSFarxbb4Wx3zonB72S7pTUXXNXkBMvCFobUV2JgXQWNHTEQZ5w+ChNPG4khg2rQ0taFD9z2DYqacJ9uVqFuLYKUTeN9l5yJf737Gl8yA0QChYaOBfu6rT2BhW+sBzPjsoum4Pr3T4fW+jCSA0BbRwIHmjuwct12sGbcfsNFEF48Hq6rYZqEpcs3wmbSwzjTGksnBnUIWZSVqrUVxrhTUR70IwgnqLoDhbIDxoUjymEIgqvZl5jen1+ZvyoghPAPT8hq8Cky6w6Tdk03GyT7yXo9wt33CmgLTiAi4bshYAiBAqkFETKuQp51Is9ozWndQkQ7CLxBg7YQuxstza1RqyJB8+fnjvX9CpvOyeaM89Ay3ttuId+EazvFFFhidCdzg9Zs2Nly6czJmuhIdpF\\u002fF2svAnY+2M\\u002fDwQALkGiHecZo5F94CxSxAO0pZGktcIs4EHg8UJbbk6NQXDK\\u002f1kmRZwYMTl5vb6vsZHrbcsl71D\\u002fq83vPt4CvsBKINQKS9Hessfn\\u002f7ooZui0bsHOJQHnYRChoobKiHKefMgxTJ47icWOG0Mhh9Rg5rP4wp+Vvfv8iOruTKItFAt0KATefx9Ahdfj+7I+iP0enn1UGIsLSFZvQtL8NsVgYn7jtcv\\u002fvPcfWWkMIgTdWbMG\\u002f\\u002fMevcaC5A037WvH5T14LwOsRYJkGLMt7JN\\u002fatAeWFGJWJSyno5fUZoZOJgAAFSHjMLf08YAIyCuNaMzCpaPLvWtJ5DexELRnX2vLrj0t5ZZpFNVvCdCFMpFiUNWhrr\\u002feuY2+Ds+F+2QIIU1BZAkvcyuvGTmtoTXnbPAeB9ioIDZL0tuEpn0O1P6gYzWVvflm+5HWz4DXbAWA78Bj9PKw++fus8iTi+jz71HAHJKs12jCLkHmGGZHM2tYAdN87OlFrZfOnDzwyE537w8iPh6IDAUy+\\u002fwS0t5PJAGGghic9LzyxfbhQJ4E6lVWfjrUjC84AxXYkSG4wR8myjIzw7FsOJMMuST+Yqb7SSnMzGRCwySCgIYAo1ftGjQ8WzzL3jyziAH+SWCc\\u002fYuOSCCSS4mhQ2pxyYWTMWHcMEw6bSSGD65DMGgCh3BCKQ2G95Bncnm8OG8lDCl9M0BDGgI\\u002fnPMxDKyrLBK1uFb2Y86+ZH9h7kqk0lmcf854nDNlrO9U62t7A8DTLy3FW5t2o7YqjiGDanDNFdMghYAUAvsOtGPbrv1Y8uYm7N7XimjASE1M7S7TxQmUfteafB4AUBky\\u002f6JIB8EbYDluYAiTB8b8awC4yvPvvDx\\u002flbH\\u002fYDtqa8rhuooBIhOcuMBI1rmeiu43l\\u002fceDiIypCeZSfrXUwBwwUgrlVCMPXlFuzXpXQSxWTA2uY6xsSqVaqENG+z+1siAQEODdwF7QmbFDaR3T8TjwclFdBCjoUHubry\\u002fa8gZd74BQaOhiZkhpBRYsXbbEKV0h5SiCsUwUp\\u002fPe+q7GYeongG9815AVvT1vEsBzqQhhzLk4Gqoffu87i7seakTELiG24KPB6syS9JGJC41b0\\u002fp8p9Hh3d+3Vgf7HIBeZyDVTxiczEnXGqFOCmShoEOI+i22uCmUKWxJViV3pnWdsLVLAXpEVHDmOa0RiZlWmSYIH8aGGP\\u002fpC0SiMKhNDP+5ZPX4oZrzj\\u002fsfEpr32ikonNMKQ0ShMXLNmLj5iaEQwEQEVLpHL7+bzdj1nmnQyndxztekOz7D7Zj1Vs7sGzlFsxbuBZBy8QlMyfDkLLPZwqedNt2sXLNdoRDAbhKIxSw0LSvFd\\u002f88R+x6q0d2Lu\\u002fHXv3tyKXzbMZidCwuJmoVdlyl8kq6KFgFIketkThrp4QiAhwNa4fX+uR3t8s\\u002fIKnzKsLVruhcDCotWYBRo4kTqN09wDhlDsQAYtAlhAUFCQYhIRyoVgnXaZ2gLcSaK0mfkto2qZZtBqm01wxf03XEZ+D2RCYN1PMA9BaW8sNXohNo\\u002fHEw2hHwklG9CIIgv4M8G0gFszgYMCi3U3NcvGbGw+eP21C1RHt9IIqVjMDuunRfsJrDCgJKk+BqgPAXtnHBmQIBFybvhA4YN7iDLcdR5txocVv2qzA5bUDus9M7itPQPbyvR56dPKT5TSCrGBJgvYnkLREy3kux1LrcyK0zqh3V6Rc3dFpm3lXRZTmiBf7ZrYMTcHw4PztZdW5ISJvfL89EgyyS3nHxegRA3HFxWfCdT1nmSdVPaeZ7CccUWjW8OcX34DjuoiZIbR3JPGBy6fhMx+72pfkPZexINnnLVqHOz\\u002f7E2RzeWjNCAYslJVFcenMM4rH7fkMQ0rCxq17sG3n\\u002fmLiSjZv4\\u002fNf\\u002fw1cV4GZYZoGgpYJK2BSRlPuS5H2WCzrhjNMfTpIF4h+HDmQh6HgbY+GTVx9SqV3PF8kCAIOtnTSgqXrrXAwAK01GQRkFJzLAt21lVIHurQBzboly7wlq3kza97ChG2k5ZZKa\\u002fkmmo9+Je1sQLx\\u002f6lQ5deRI7UvognRmmgMNzH9Hm1icfET30mEZnF2odTBBJOIAMxHYdlRs7sK1qfOnTcgR9R2DVIRvvlPVNFB4qNcwQnjliEUIE5xrgzl1EtS6DhSLWODZxSmSmOa2m3cGyjK\\u002fcMrNSnKRVSr6jUx9x8OBDtvIZi0tRDEllcGQzBAEGFohSBocCGKvCOd3OUKsjg3SCxIyt7MLsQPaDHamcpJzbWZlJIhRA6tQX1NB9bXlKI9Hkc7maPP2fXhr057gg44VEDKqLe0KwzCQTGXxoaunw8vk6qs694eCZD7Q3IFXXl+DaCSEVDqHU0YPxnf+\\u002fY6ig6xglxfe39GVwte\\u002f\\u002f3tksnnEokEQBBKpNM6ZejqGDu6\\u002fzxsArFizDS3t3aiuiMP1RlIh4LdnBvx0W83IaGH\\u002fsLY7+\\u002f7MrvKU8r30PasGO562K4+Wk3YESEGwsy6mj6\\u002fCqTVhT233JroCRHhx7oqWfN4ZZkYMMIMVBMWEytUK57tQvKVLiPUhW3Rkgwe7R8zffZhTzHcZ0CFqt2dDr1jhYMWKE1vw24STj+jehExqWqWah0zGAiGNq7XrKOUqEY9H5RMvLEl+7V9vjBpSBHE09V2GQNUzwMnNXgpsH1uPAU0QA7qBoOV1jul1GAFCThN90joQfCUQz+zOUyQmmJd06+gv60Ykvmhtrm53wAY0RdiFZQikydA5Dd5ROZgXO6HU2rSIbgxUqre6s8jszwWInUAsaKIyaljnnzMW550zHpNOH4UxIwdhyMDqPt8gk83jp79+Cv\\u002f7mz9TQJqSpUDecVFfW45rrzz3uJ99rTWklHj6hTfQ3p5AOByAZRr4wT0fxYB+7PJCW6Yf\\u002fvxPWLdhFyrKY3Bd5XWXtl2cf854WKZxmKpf+Hn+4rdgmQZ0ryzEQtWYtykCGWE4c6qTyZsyO8uTivqpPSSQ9B7bY9Uu9fudfYP86nFVXu9339vuW1vqhVdXRnUxdMYMGCThbLpz6SvfvvOQYzEgVhSkdGMjk+fh8QTR26h2vx04CYkOnjlztjF\\u002f\\u002fhxX4Pa5DPPqwi5qSMK+\\u002fe3DNm5tajtt3NByZhxpqB8AQNRfCr37wcP\\u002fQAAcDYp1w5g4EM7CjaBYsJjDTmDYJFDjpOVXQwfk3e5gV2nXKIeyft4RilxQWZs4z9kTTwZjWCeimQ22Za6IDLSXdGpu3a8jHTbHcnlbBFRrePjASpw6eSROHTcMZ50xBmdOHoPa6vJDHF+epCv8HA4F8NXP3oD5S97CyjXbEI9H0J3M4ENXnYcRQ+ugNeOo1blAYeghbNvFi\\u002fNWgsjbQO750i2Yfvb4w8jqbQoCr76+Bvf\\u002f8RWUxSPQ2gu32Y6L6qoyXDDtdO\\u002f6UN\\u002fzEHkhteVrtiIQMA\\u002fznxG8eHGGpfOfFYnOT2W2VOY1Sc+11c+2Zfktn07QEefdVo3yiIlr\\u002fWw4SQSlvZ4FTfta21eu225FwiHS7A19ICmgXfyJAXH31Lvkr1b8WhUWRYDGihX67yWlTwQnI9Exf77vCof1vFb2HBIyCtbszeBSod83vpb43n98BJp1f6kzvbzvp4LiE\\u002fzkmTD65rtLkJmBHJaDszTiT0ShXn9lJNnA+7gt0BAuSz2YCEeqBUTCdoP\\u002fkR6QvyxW2bYogbKtFJV7uvPk7OmOBCWhtiKGs0dXy\\u002fPOOhXTp03A6BEDMWxILXoNGgQAvzspinZ278Y4haKP4UPq8OaqLdBaIxIK4sZrz\\u002feLL47tDdSsIYXA2o27sGLtNiitcc3l5+Lu26\\u002fox8PuqeydXSnc8\\u002f0\\u002fQCkNy6Ki\\u002fe44CqeOrcfECcOLjrc+5yGBRcs2orM7Dcs0CiOTeo4PQApy\\u002fqMu33JztqnyqeBQbKNQ88cz2+oOM1wJIJ\\u002foaUcfHkc6CgQRdN7FZRNqMCge8NQ9T8EjAPzGik2B\\u002fQfbg763HSAIrRxbaf2iR+pO+nUhDPPuR+EROAnj6EXM0QBo96rfbhx6xodXk6Dp7AGWZdHrSzfUADgohagvxEb7fp48u9uIgGovAHetPvwUQoBTKRinWRCvhsEdHYBp9HmqFBHYtmlOcHdobfgUe2uWgmUm0dYMly9tJ2alKCoSmDS0FmdNPRsTJ4zAlNNHY9JpIw+zn12lijXRHrmPnMdbeE82Z3t54Zk8pp15Cs4789TjvoKFs\\u002f\\u002f5xTfQ3pHExPHD8e1\\u002fv8Pvec4922NPQwZ8\\u002f2ePY\\u002f3m3Sgvi0AV57kTbMfFpRecUeiX3jc+71+vhW+sRzabRzBgQvWq7iOAHQYNtqhjnyvKL8lP4K2dMBpqdN7yZr70XCn\\u002fYxT0qt5Sdq+BFMcBzx4XuOG0GgAoFrEYnuaiHn16cXckEipT3gK1kKbUrv1GONO6AYAAHnu31J4XnCbAPfcQNkwgNABYX+O9PqGVccMNfdZ6khId8NvtAlI+SiRmMJPWmikcCmD9pl3G629sSJ9\\u002fzng+Yu6775STA6+G3vVAP7nvDCAACuyDHFkLt62r+BcNAmmFSgl0RsvsF4wBKu9YDJ1HZyLHpmnQuacMofPOPhWXXTgVp44diqqKWJ\\u002fT60JvOd8j3l8GWX9g9uzkfN7BwZZOCCFAgvDJO69EVyKN7Tv3Y9JpI496vILankhm8MJrKxCNhPCDr38UdTXlh9vlPslfe30N7v\\u002fjq4jHwkWSF75HMGhh1oyJxat26FoTyQxWv7XDl+a9boGnrZDFjKa0W\\u002fOLLhZVARcWC\\u002fV+0V4rCaLYPLdwdBIQ5eUAgIytj5vnggi2o3DKgCguGV3hXQMv2uGHCttSb67eXO2vkQrrZ+C5bdteyGPmTAPz31nPeA+YMNsn8HifvBtaGY82aK8XmX+ZvQ3V+\\u002flQl8DsuUGEYgF85cxu4KQmOgCASdMrGm4KhAjAYK3ZsgJVT7+wtOX8c8Y7Ukqr\\u002f496MTOKjIComgZ94EWvJr23+s4EcBbm1DCcpQIkAOUCEXbghCL8B1GffYDr8Oa+rEXZbqO+ugyXXTWNPnjFuZg29RSEw4GeQ\\u002flZZEIIf6BjIXp+YiiEqjZt24sduw\\u002fCMATi0TAeffp1zPnhwxgxrBYP\\u002fuzfjlquq7Vfb\\u002f36GqzdsAvf\\u002f\\u002fpHMP2cw+3yope9M4nZP\\u002fgDNOtiFxbA2yzSmRwmnz4Kp44Z7L3W65yaGZIIW3fsx4bNexAKBYrqPpGn8ieSOUgpUFMZF6fVV\\u002fKWHfspFJAdIzLtAWYOehn8fS+UrPTG4XXlXEAcn+pOAFgxrh9fhbKgAeWvze8XR3988vV0V1cqUulFBBgEqbVrMxmPAQDmz387pTkVd7x77iHgHmBDoyeVAeAGUoXw22FfAgBmzzUAGBE7WGbL\\u002fECtMZgMjCRNAwEKa3BGKlpiZ5NLAZzsRJ\\u002fDwGwxPD5v687E8KUkrUvYdVyltQwGTfz5pTfi3\\u002fzq7amAZVYe8aH3+8WJAVdDHXzpcNoRgfM2xIB20KiBwPYdKI+FsCY4OP8DPcR9udkN5hLtcvSgStxw5\\u002ftw6\\u002fUXYviQuuLHC+mhXn44HWaH\\u002fyUofI\\u002fXXl+D1rYuVFXEkc7m8fQLbyCfd\\u002fDNr9xWSOc8ItGF8Lq7\\u002f\\u002fGJBbjioqn454+\\u002f\\u002f7B4OdDjZf\\u002fBzx7H+k19VXb\\u002f8sB1Fc6ZMhbRSOiwjaJwtEVvbkQ2ZyNgmVDMyGZt2I6D+tpKzDz3NEw\\u002f51Rcc8W5WLz0Ldz++Z\\u002fjfSMCkWFCUC4N9Ek0ZAYMA6KsDABwIGUfUjJyhGsGP3YeMXH75Hr\\u002fNW\\u002fDMgxJSqnki3NXhqyAZXp+HWYikzQ78\\u002feu+u02\\u002fEXZ9L3ATLihURSl85wLlS+Z4R3XS3srSuW7lpvBmrZ6ZYRqtOY6wVzHJAYDGErgAdAYANBw23SqYIQgtAIrtYFJLSOtX1KusUgF3RbMubAY\\u002fjuJiQ7GzHly\\u002fvz57uApw5+UzJf4M87JNATa2hI1z760bNt1V0+vLOzahx3Br2gT1edAxEaDUzv9UFuhpxwDSkDH0wiPtWA3RfX\\u002fhEdnftEdt\\u002fY2d4YHlYXp1rs\\u002fgDtvvqRI8IKH3HOgvb2TUTyVm5DJ5vHYM4sQDgWgtOdUMwyJqRNH4+wpY4vZb\\u002f1Bs9cfbdPWvdizrwWP\\u002fearfRo\\u002fFN\\u002fnk\\u002fzVBWtw\\u002fyOHq+yAt5GFwwFcfP4Z3uU65JyF3+cuXAvTkCjonDOnn4YPXTUdUyaOwugRxYlYWPTGBnKl4Y7NtecqzHRlq5BsFOfFEaBciLIKiFAIGsCBpA0IOmY5qBc7d3DVafUYXRny1XZAKYaUxKvWbec3V201K8qjUEoBTEwkIBiPAMChY7iPcHd61G0AGN\\u002fAwD3AnDkFdbuvRjB7eRhOuswSXK6Yh0lJ41jjFIBGMaXrXA5VkkK5kEYUVqhgSwBmAMQMznTlmfVadnPPENNzbia+Gj86I33Ymvwmiycz0YvqlMzhcW053y4kzwAAA8bjzy6OXnf19KQQIoYjxtQVYJaDamaBE1s8oveCIhMhpxUdZ4xzPr9kmPPk3myQ0m3GNbOm4Auf+RDOnDTGe5\\u002fqUUmPaz7EX4BCiOv5V5Zj2879CAUDRZLatosrLj6zX8naB\\u002f5VePrFN\\u002fDVf7kRgwZW92uXg4D2ziRm\\u002f+Choh3b21tOBDiOwtBBNd7mgr7ZcIV17WpqxtYd+2BaBmzbQX1NBX7zk88hFgkV36eUhqsUlq\\u002fZjljQwDlx5OyEC0G9RlkRAa6CqKsDhcNwGNifsI9LdVfMMAyBG0+v9fYL7ant\\u002fkZED\\u002f1pfqdhyGHsbfBMUkrl2gc5yC8AAGbN15h\\u002f2IX0OslMAGH9PMIccvtVtwEEZs8d7roYLYQxEtAjiTGSdWokJI1kYVYIIcDk15gTgbT2xm9p32vp2t6Nc5wU29l5rNU8gnzF\\u002feasNX1ONHuuAczS3jqI0auT6slNdP+x3b3h\\u002foNDJt\\u002f5LEnzZnZtrZQW8VhEvPr6GqNpX1t68MCq2JEffu\\u002fhlIOvg276I6Dd4mtKEUJhG9s6xmc+9VAZLdnbFqoNSfrcv92CT33sAzAMUQxnHa\\u002f09mas8wlLe2ZASAHXVXjkqQXFjUUphusq1FSX4UNXnQcAh6ngfY4hCB1dSYwbPRgfuOzsw8JhAMCFxJif\\u002fQkbNu85TGX3ziGQyWZw8fmTEApah\\u002fkElF+iuuTNTWhp60IsGkYylcXECcMR8zejwuZhGBJrN+zEgbYuVEp2p6qumjwEqM\\u002fGTGDXgagfCARDSGQctGUc711HYbogwHY0JgyI4oqxlYVQXrHoJpXOJucuXFtVbADpdXplkHp179IH9qGhQQLjGY\\u002feI7F+HuGeWb7aTdyH2LPnGiGg3tE0gFiMAmEiMyaC+BStUCGIy2AFJAwLrFzP2aMcQDvsy3qvVskzVgyYQcAIEOzsQbjOSpB4wnH0K\\u002fjezN3oScj221Y1ku+oO6LWcbITHYXBi6ypEULf7KsrRNDsOGpg4zMLN37+7g\\u002fWiyMVlfntpSg6EqL2Yui9jwNmOZTSHAo79Fbr2NRHfjsKm7bsjY4dXoUf\\u002fOdduMj3MB8qCfuD77ktZt557\\u002feWksvZCATM4xruqFlDgLB89TYsWraxj+ROpdO49spzMXhQ9VGdcIWXpZC48uIz\\u002fdcOtcu9Y76yYDXue+QVxKOhw0juxZ4ZlmXgfL9NVMFJWPiqheuybNUW2LYLIQRc18Ws6ROLSTRCEFzXO\\u002faqtdu5uSNF5w2KtpRlugdoEuhTDioIcFxQnWdjb2lOIeN4m93RJDoRgZXGJ84cgKAhDnPCPf\\u002faisyuppZ4pd9JxqudYBKSHsLsuQYObCHMudsp2tFz4EnOvFtmmOZ4QEwG9BmkaYwDGkZCDIEVArQGFXoRau1pjvmMhp1RYAi\\u002fQ4x\\u002f8YkhpYQVknDzgON0w8nNBeFJod2F+W9dvL3PlypKbtLFzeYYj9DJT\\u002fTGRzVAJKHnsqu2kmGNYe1oZhJBy8QfHp8b\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\\u002f+V1hpB0xDoTmTovLNOxZUXn3lMSXUoPEmnce\\u002fDL0OInlg64D1gubyDUcPr8cErzi184qjH82xuiVzewZ9fXNY3h1xpRMIBfOiq6ejblKG\\u002f43jSfMGSt9DS1oUFS97C8tVbceYZY4662RQ81B+6ejrue\\u002fgVdCVSME0DWjMikSAqy6OHfaZ3Dn9hvavWbcdjzyzCn19chgPNHSAAkUgQgDfmqtVm9\\u002fO12exn1K6KVE4JEgQNQohd7A6Wq\\u002f\\u002fIDSFlO8aEMQO2jRpWN8LRjLk7uon6CasRPNs8EjLwbzOG9BH2hdbfm7fvbX95wep4OGR5FjcRwc5xbtCIpFtZN5iYgGBEsJ3dCdd+jaV4THUNnIv\\u002fGZsvnqbhUfHXZKj9vfBeJHoh\\u002f10TxM+gnZtBZAFgpTSFgsHQz377jHhz5ZbM5u17KyvLY3BdL9vtrjsuh2WdWOJJ4b3zF6\\u002fFspVbvYqyXk8hESGXs\\u002fGBy85BbXXZUSVwAdpPkHlj5SYsX7OtqLYXSlTPmTIOZ00e4xc7HcUZ5hP2ieeWeI7CdBa\\u002f+8PLfhrqkbcIKbx2UiOG1uGyWZNxf+NrsEwTIIbjKGjf5tZa++HlgsQkdCfSmLdoHR59eiHeWLkZ7R0JRMJBRH2Cs\\u002fYmz3RooT5daye\\u002fpHfEUzlXeBkyDMkayjD5\\u002f+UGuftyFHDS6fxtN14SAWAs29ON5XuTMKzDw2pCEHJZBx89bwhOq4\\u002f0kebkGenur+5\\u002fXqeS2WB5eYSV0p7hbpg6NXZKOZjbYefma6KHApqWZL4960Dx4MVElhs0Ggstmv6yDLW\\u002fF96bRG9s1LNnzpTfmP+75VVnfOSJiGHepF1HMVgGAyZWv7Vz0Io129yyWIS0ZmSyeZx31im4\\u002fMIpJ1xZRsJTdR98bC5yuTwCh1R6ua5CVWUctzVcWGgcdexj+uR5+IkFxTAU4JejOi4+dPV0CCGOuiFpf0PZvbcFy1ZthSElrKCB515djjXrd2LShBHHZULccePFaPzzIq+0UxIcx8H8ReswafwICNHz+Gzauhd\\u002ffukNPP3CG9i0bR+YGaGghYryaNHTDjAMAJ1a6A\\u002fXqa7\\u002fp7bFczlHQvR0ew0J1v\\u002fBw7MvpYOBMnIRqYonLvGGQsiHVjezVposw4Dq7SQkwFYaNWVBfG3mUD91rec6CCGwfc\\u002fBVOPTi0LxeEQqpQGGEkJKxwosdOKV97u28wq+dWETAGSAQwpH3p1294ngPUV0BggNDYIaG9Ucv1HA1bLz6ZdV1XWSYBYeDSkFpBRGMbbMwCduvxxSyqN2ZjkUBafWqvXb8eqCNYfZ5lIKdHWncO2V52HksPrjMgkK79m++yAWLH4LwUBPCWgu52DEkDr4D\\u002f5R11kQePMWrcOevS2oLI+BwUgk0vi\\u002fB1\\u002fAf3\\u002fnn466jkI4bNKEEbhwxkQ889IylJdFEAkH8dP\\u002fexot7d2YOmk09h9ox\\u002fwlb2Ht+p1obu1CMGj50run1pwA38EGtGvBN1a57d9SW2J2Nm8qISHAUAyUCc0\\u002fD4y27+0sD1ZKV3ancvjA5dO6BtdXjWhN5fHKzm4iOrxaTRBB2y4+d\\u002fFwDC0PFHPae9+q\\u002f\\u002f71n7OZXH5AWTQM5c2mFJq1Mu3U151vXbgAQK8stfXvGm\\u002f524X3BNF7ExyNjYoBSp47+XxXirsD2DP9pqzZvFTHB0fgsgZRn55n6SzOmXoKLjn\\u002fjOOKbfeH3\\u002f3hZaSzOXgPUU93VFcpxKJh3PqhmQCOr7Ks8J5nXlyGg80dKO8VUrNtBxecdzoG1VcdUxoXqsL+\\u002fOIbxaEJzJ6N\\u002fewrb+LuD1\\u002fhZ+f1fxyvz4OGIMLN187EqwtWFx2UjuPil\\u002fc9V4xMSClgmQYqyqNgX6UHPKkqATgMSkKqkOTcbeV26hvYHte5fNAVXuGKYqCcFJ4MDXe\\u002f31FmhZQtYBhQrDN33XmlBGC8ur2Ld7RkyLJkH7VdEMG2vaaP\\u002fzxtkO+38K6x8tNdt+882PXUc4ujkXCwMDxCkzCk1s6Lu1Y9sAB3\\u002fcrEgP0Kc\\u002f62SSx\\u002fS5zUROfZXsIPzYFGY6NqPW9cTMrIBxIsPsbgWWEpKQCFz1jNTUuzsQwLEembZeF5sz5y8yUIBMx++6YdCYWHfNPWvXhx7kqEglafB5CIkM3YuHTmZJw9ZVy\\u002fDR4O+z6+2ZDO5vDk80tg+Wsq\\u002fM2yDNx4zfn+VzhKWMuPHW\\u002fc2oQVa7f7381bmyEkupNp\\u002fOb3L+Kn37q73xLPQty7kPF2+cVTMXrEAGzevg\\u002fBgAUhCLFo2IuTs+cLYEZRmxF+U4AcCFkNPTBodN8S6FY3mR2BU+yOaptJ2iRQIHmZUHgtMFB9uaOKyHWEZQjuzOR5+uQxu6aePmIEA\\u002fjtyoOkmGH2s17NjK\\u002fNGoZ4r6aP\\u002fj0gAtRPfvWknUxnK8riESjll64xu0LwDwEAna9o\\u002fLrxPUty4CQkekF6o7HRH04HZM4\\u002fc4it+U4m3BIS4hQAyChGxnXdFJGcIZN1M2Ri\\u002fyJdFgnDhYYX281mbUyZOBpXX9p\\u002fp5Wjwe\\u002f6g4efmI\\u002fWtm5UFBoX9HkP4bbrL\\u002fTW7RfNHPW7+Sr6gkVvYf3mPYiE+pajnj1lLKZMHHXU1OvCcUCEp55fikQyg7J4T783zYxwyJPqd91xOSaM65Hqhc2gMDAik81h\\u002fuK38GDjXBxo7oRlmsWIwqE58ISeNMu0JlLSyI0xndyt4YS+klqtYSpT4eQUsuRtHgLe4JtyoTEvUK8+2VWns64yI4K4yyWMs9zm333q0sGGlKGFu7owf0c3DEv2SXmVRMjZLi4YVYGbJtYWC1cAFItX1m\\u002fc3fmnZxfGYtEw+ba5FoYples83zQmuwArZgs0znlXh8beDpxUROeGBonGRk2NjQoAumZMmaqZPpZnviViyDKXGRlXK\\u002faSoASIDAaxQWR9LtAcXpCJJ0gIvxID5LoKH7n50l6e9uOU5j4hDxzswJ+eXYxIJNiH5EIIZLN5TBw\\u002fHBf63WiOz+733vPHpxYUk03gl3IqpfCBy87xGk4c1Qnnp9tm8pi3eJ33vl5i28u3l2jvTOJ3D72MH\\u002f3nxz1NpJcK39LWjSefW4LHnlmENet3QGvtS\\u002fL+z+mFtoAsBAtC7ty4St8g99Ol1BmvcDOGw0RdLEBkQPixAO2T\\u002fMXgIPdzXbWcdbUZEUC3JhoknY4\\u002fnFcdqznnrCgA\\u002fHbFQS+3PWRA9YpoKGYEDIFvXDwCpiAo3ZMF57\\u002fF\\u002ft7\\u002fPObajg4Hg8RKMYEgtHIVMX8HjY0Ks2eLk8yB\\u002fhfhXU\\u002f03vZ3geDtM6ZOF8CnBOGaqCEjaaWRcF3te6sPGU\\u002fOBDC2a6sbQDk8ZxdlsnmccfooXHXJWSccN4cfn37o8XnYf7Ad8VikqGID3oPvuC6uf\\u002f90hIIWlFaQx8iEK0jVDZv3YMmbm\\u002fo0fszbDgYNqMKVl3rtn462VoYGs8DKdduwZv1ORMJep9jeUEojFgnjyeeX4u47rsDY0YMAeJ7zx55ZhCefXYydTS0wpPB701Of74deGTcEwNHMUUtm3xfMp+8ItAUnux3RqHKD3ZqQ8CW4pMLqCJI1woL54dBw5z86KqXtuEZEEhIuY0BZqPNBc5McfuH7ozoQwpbmFJ7e2H5YSM1LdXXw6fOH4IIRZVDcM3RRaU1SCCx5c2PiudeWx+OxCPl57oqkKZVy\\u002frR3zf2LAIj3sl3eG+9aoh\\u002fqYFs+dao5NoRrHPBdkujSiBBIa41ux3VBJEU\\u002fXjQGOEBEaS3a\\u002fsceYFlElgYzQZBSGnfedDGikeAJxc0LnvaOziQef3YRLMsE0Nc2z9sOhgyswQev9Js1HpeDz3tIn3p+KVrau1BV4cX3hfCmssw873QMHlB9zHJUr4AEeOqFN+C4CqEjvE9Kga5EGr+4\\u002fzlcd9V03P\\u002fIK5i\\u002f+C20dyQQDFkoi4U929sPixVCVgTAq8xgELzO+LFQIPHrsn3ZC3IH6rM5hs2ENpJsEPf55gqEACsIQ+rviZG5n3WUBUzHlhGD0O0AA+PBjj+Et4uxNRVl9vuuhgXgJ4v3oSOZRzBkFqW5IG\\u002f4w4jaMP7jwmF9Eoe4R33Pz\\u002fnRw9qQMuxtUgyCICg3A8YPvK\\u002fSQIePOHlv4l1H9MM86JdOjLRnrBsN4s8IoslxIZFQihOuq0EkqE8zgL7QAGJQ6ndudfsuHRhWIRSYBGVzeUwYN6yYqXYi0ryQhPLcK8uxedu+wzqkCuH1U7vq0rNQX1N+fOWh\\u002fue6Emk88fwSRMLBXvPJGIYpccMHPCfc0RpVeKa5Nwxx3sK1CBwyAqnPtdEa0UgQjz+zCH96djESyQxi0RDKyyPQmqG0V0fmsj9ElrysNYeZwwYlDM1lgkAJl\\u002fRFZlpMd1trWx0GCQlBDOOQxhGaGWVwsC9Urv5fbpDzbHcoUAZbGpLQ6YBHxIzWB6sPBIfv3RPPfeG\\u002fEA2HsO5AEg+va4W0jD4FQoDXk33OJSNQF7W8GL9\\u002fDzVrlkLgkade71y2Yktlebl\\u002ff5g0GYZUynl47+r73gQaJND4nrfNC3jXEJ0B0dgAokYoNDaqzpmTyqU2buzK8j\\u002fHDZrgMiGrNed7CH5UXdiT5qA2LZK\\u002fsmvNsEBQM7MgQY7r4tbrZ3nS\\u002fDgy1XpDkNdy+fePzfVmiR2SBaeURlk8jJuv9UJqx0N07WsUTz+\\u002fFDv3NPc0lxACqUwWZ54xFlMnjQbIq7U+EpT2asNfWbAaTftbEQ4FDiPIoSiszUtsKca9YRCQUuCqgHCjEpJcNz8sRPuvj+WquvKunN0W5xA0CdNQZxuZBPJ2DMLgvp1hvFJTixXChsBLckB2Tnaw2JZSgUrhEkDocKWaGld77y3fV1XVtDOam3Y+YhdfCoDx48X7kEzbCIV68tolEXJ5F1eNr8atk+q8WnOf5H5vAUqlc6nv\\u002f+9jZigctHRB3xcktHI7SRnf8lY3\\u002fu9SLvr3wt+d6AzQvJkzJc2f76IR2D3j9Io4mx8mlz4ZMMRYxUDSVQpeqETgGAQvQDF0nLR8UlXt38qB0WXwpHkub2PUsAG4\\u002fv0zAPSdFXbMY6qeGeFrN+xEMGj2jekKQncigw+87xyMHzvEV7OPEVID+\\u002fnwNv707GIABfL5TivNuPzCKQiHAnCP2piSi6mrL81bCcdRoHBPBd3xfLcCwXMa6NBSTYro9t9VHozEtR0w7bxl5tIjYgkl\\u002ftMYm3WJoAHEoWhWMFuZtfs6R5Rvi5eTxsFA2Pk2hqr7ExEJx7XKJcPVhCQZ+Wtq3Kafyh11VlcymgqEOf7Ru0kKgUU7O\\u002fHwmhaYAaNIciJPkpeFTXznfSO9aSu9JmMXIif\\u002f839\\u002fTm3fdbCuqjwKV2kCQwlpSqVy\\u002f9O09t6daGiQ\\u002fwie9t74uxG9j4o+f77bdvbpgw0rcIcG3x0xxFCHgaTrtfo4lvT2j8dgViASgiAqDCkzDqd\\u002fYdeEg0QW4D0EubyDW66biUpfgh2v2s4AhPSyxf74xHzkbQfBoHXIZFENyzRw07UzIaTwnWDHkSAjBN5ctRVLV24p+gwAL322ujKOa31bXx7NCefzee\\u002f+Nsxf\\u002fBZifn788UAC0GA4LNAFaY8Mcv6uaDr1cdFcWdXZGchpgAUhTxICwJtJYYIBRQIDDW6uS7bWKb+TrgKBmBGDi7xh6cfNAfZPMtW8Jc2BMuEIQxJSSgBSdnxzQC53Z2brEO2oQDKV4chtHyFjylTYrsLXXt2NvK0QDBjFkJogQs528O+Xj8HpdREvZl5wwPmFK1u27+v4+X3PhstiEVJaM8AgYUil7J0cMH8KMKHx5E9pPVH8zYl+qA3efdZZVSrAdxvgfwobYkhOayRdrUGAoKN2wPFuv1eCyoYQMmpIw9aMtNI5g+wFv7LrmnZw+JYQFIME5W0HQwfX4IZrLvBjzSewbj9BZt3GXXj19bWIRg8vRc3mbEw8dTguOt8LqR2PSVDQKO5\\u002f9FW4rgLBAuAlziTTabz\\u002ffWdjyDEGMzAzXKVgGgaef205OrqSXr83QobA4SPZ6QXnWkIThDDcMRGkbgt00FWi3RhsJwekFJAmCWEQNAMBrbAvVOY2OxEKuJrymjCjkkLBLCHnAmCNGClow9SLzVr7Z\\u002fk6zGs3ZIBds1IyXCa0u0KNiRstP4ns5XMzrQO7HA3tOAiMGkXWRz4BAeDBVc1YsK0TgaAsOuCkIORyLi4cV4XPnTu4T8zcdyEQAPueHzxk5\\u002fJOZSwSZKX9HuokJCnn601L7+tAQ0Ki8d1dUvpO4G9G9EMJnpg5tdpx+U4m\\u002fZmYlMNyrNHluIqIBB2F4L0ktwwIIoOIDCJ0u257wuVFAOZJIZ+kBSt2Vk26889xU4SU62opBWWzNq678jwMrK\\u002f8C1oje0R7sPE1pDNZL6TWK2nEm3\\u002fm4ObrZsI0jOMqGCn4B1at247XFqxBONSTXVfozXbN5dO83\\u002ftJn+3ducU0DHQn0vjTM4thSAEWRvYLtZmu37YY1K5ESB6iwhOAPBOUlNmZEVvfEOpwL3RbYhVOTuYVo10YkMTejWDPxx4UjN3KzO7TpgxTLtythTMu2xaOaGVAM8gysVTW5O9TdfqlTsu0XWWUCQdEhJQiwLK6767Odn3e2FVZluiItZNkSYJIa1if\\u002fByMykoc6Mpizrw9vvbkrVUAcFyN8oiJ\\u002f33\\u002fGFiy0Cq6JzlGCkFPv\\u002fBG1wuvragoj8egtOpR2bX9WpMRfMSLmf9jhNMOxTtO9EMJvmfa+MoyK\\u002fQR1vTJuClH5bVGwnUVPIYfpqIXMiwJzEwkTCKKGtJIKw1b8QEHehmzeEyClpQvXlFsgD9o6sdmmcxXK+UwEQnHVaitLsOdN3mNGU\\u002fE015Id92ztxUvzl1ZLDQpoCDNRw4fgCv8evbj6tHmP6j3\\u002fvEVdCXSRQ++N9csh9NOGY4Z54wvtpDuvZ6CKSKlN0vt0acW4uHH52F3UzNgBTDctMXdvLvyYGxw5hcdEataKumwb4IQkFHAtJjO\\u002f5u1lychEQhnc5EUS3STAAmCccjGwPDs95a8DqTyLoUFIWLJ1EQk3TxJc2643n3IrlSLMkEjk3dCMeEgLIGsIqSFmZsaU21zypqtc9L7BuXSykgIyVJK4kQ3Ag03w7zoMgCML728G01tmT7hNBIElVeYc9VojK8N90lz1RpMIOroSCT+47sPyHAoGOCCh5RAWjkOS\\u002f4qVvzawYoGz0r5B8Q7SnRuaJDFMNm0aaFOw\\u002fmEQfTZEIlRNhgJx1VH8qD3ltxhKYQgL8yTU6qpi\\u002fXLDPGyVOZL5UuXdhQ+82gDJNaPl40TJqg3tul\\u002fgTQAV2tpCNndncJt11+IoYNr\\u002foLWyF6xy5MvLEHTvlZUVkSLM8MAj7C27eKKi85EfW3FcXeQEUJg1bodePqFpYgdYgooV+PyC6f4oTZP++hNcICwZ18rHvvzQjz61EJs3bEfpiERDZrIa8K0oNMVSCTqbgu3Oo8Ho7m2LCKmFDoILQQzMjBwLrdY56sWanUkbGFCEvsjRvrR9ZmRkwYfCFVKkWHpMKNKwnhJ1jrfsIe7S9qFAHMgjDwqJSGjBboVqeFRo+0zsS73er2\\u002fMtSdDnex8DcoSZxJwxh3KgKf+hwkAQ+tasbvVx7sk5svBSGXdXHlhBp88uyBcPWhlWlMQpD+1k8fzTTtb6+vKIv0OOAMS2pl\\u002f\\u002ffeFQ8s86X5P5zKXsA7QnRuaJDCz2TbOXNYMOZW39BF9pei0pjgsC\\u002fBvZKDPgRnZgV4zjeLiCKGNJJKI6f1egaWSI0nDJOWxeevaCt8ZjYg7mloIIxvZNrQAGxotIcEpp5J4Cu1cpgEhO0oVFfEceuHLjxmLPqw7wIUc80fefJ1L9NN9SWC0hrxWBi3NczyXzlWMjqKPdf+69dPIZXOIR4NFzPYlFYoK4vguqvP89RzZohi9h5h6479+P1jc\\u002fHEc97GEwpaKIuHIZiRdBk1AZG6w2qrTNgGxuS7YjfFc23zpelOD+WSD3YGKiQQITBywoRDXkOJQ1V7AH4\\u002fY6+GPAiNEAh7zUhWgqMkCGnbjv6kPRKSrI24cL26cAi0KDiDw0bqs7FU+nYcqKjNJiIpl9EthJchR+SNWAqEEPzS\\u002f4NRVo5dHVl86cWdkJLAxH7ii6ey15UF8F9XjYIpPV9BgeeFfPYFS9e3PfDIa\\u002fGyeASu0gBYkzCEdu1tNujb\\u002fyhprkfD20p09usaCqmqielTrlWavhw25DmK2Q+ToUhwX5NkTysnikgpDUFIKQ2b9Q7H5ae1xvP5PBYOWrEi0\\u002fs882bOFLPmz1cE6DmNheym8Z4YZfoXYZimdh1FQshsLoMrLjkTp50y9LiGJvRGMcb94hvYumM\\u002fIuG+sWnDzzC77urpGDNi0HGl0xYGQvzp2cXFQQkFkns17Glce9W5GDa41stNN7z9cPVbO\\u002fHAo6\\u002fimZeXoa09gVDIKpaGQml0scDoMLX+MtYUHpFtM7PkjWz6J+wp+0pE8a4sm7+TE\\u002fKW60SIGUpamogE+d0Q\\u002fWvr5ZCxRhwKkAIpFnqPEcOroiY9txOBkE9EBlEZKYMEIeEStGHYgyx0fC6e5ptES7A+2zU442p0QniFMoULQATOZRH64r9DTp4K23Hx6We2YX9XDsGgl8\\u002fu159BaY3\\u002funo0xlSFDkmMYRAJSmfymS\\u002fO+Z1hmkaYC83qmNhPR\\u002fzawdX3tmL1P1ZyTH94W4ju2eEQ5HszW8+dcpEl6Usk6H0hIqR8G5z8e83eTCotiIyAEGQSIccaOa1WsRILifmZtG55fejSvdniORoaJMY3MuaACdCYP\\u002f9QW0sAc\\u002fTIM287zXXFtaxd73llRsAy8ZGbLsGJomAb520Hjz61sNeQhEKVl4CGN5ThhmtmePPKj9J6GUDReda0vw3f+NHDh20KhdnkH7jsHBg+wRct24AHHnkVL81bhUQqg3AoiPIyL4NNKw1ioJOlc3UNd\\u002fyAt0QqM+lIggVLAmkSCKaTpoRGSpbZBkCFb+FIwYoFu9AUYIZFgADDhEbaDGAZR\\u002fNv6qh8katyWxIcTkFGTK2EST3JMEkWUBDdZ1XAbrC681ehuaoylwq6iqkDApIE+qhtUkJ3dSF4462wbrwVEoyvz9uD59a39SlakYKQzTj47MyhuGlibR+SF66TkKT+84d\\u002f6Nq8ram+sjwOpTwHHBmmZNdp3LP6vkb4hVAnfPPfY\\u002firiN6H4I1QB2ZOPC2ozX8XoBuDgiilNNusNbxxscwgDQKFhBBBIUS367hZpbfagl5gzU\\u002fbRm553fwNqV7HF2hooN4Va0fGbABzYCv5KcOwwtrNKymlTKSyuPj8SThnytjjdpIVoFlDkMAbKzZj6fKNiIaDvcpZGdlcHul0DpdfNBUXnufN\\u002fT76QANPXmrN+No370PT\\u002frZix1nAr2HP2Zjod3V5\\u002frUVuO+Pr2Dxsg3IZPOIRkIoi0eKGWwSXopqimT6izVp+1\\u002f0nnLOZgMJIVkSF4tOlBBe72JiFLokEwBNhg5oZdTCRcIM6oMu9BazXMzjitSaNEW2UJTa80pEiKMWATG4UF6HFwaILOj01VWi40Z5ID5FdwVj+WxNUjGSEAAJ7p0GCwCQEpxMwjpvBqzPfRESwGNvteK785oQCMg+dnk27+LcUZX47mUjD3NGKqVYSknzFq\\u002fruPfhVyoqymLCqx70BpuzcpptEl8EQH5X4H+oLLj+8BcTvcfRBtV63uSBUoh\\u002fIYVPRaWMJJTilKsVEZGvniNiePuxrRlZpdfmND9PCi9VXrZiXqGuHAB45kwDs+ZrKkjuxuMpOpgtgDk89OzbRrBDt2jtedq138jh1utn+T3Wjj00oTcKBSIPNL4GVylIQ8J2XGQzWZAQmHr6aNz4wfPxwSvPhWHI4xqLJITAPT\\u002f8A557ZTnKDsmTh58lZ5kGPv75\\u002f8a8RWvBGgiHA\\u002fCbJnheeXg2UlITYkEz8avowfx17oGaRF5BCwlZVMW9tkseBTQsMBlE8MYeMVIk1bJQfXJBRltrZaV40wk4nWkOK1AMrCkKW9ZLIKsJKSYWJBCCJgFQEqTvKLNbfuxuGpazSeQVo00IllSoLuqH5Ok0jHGnIDj7WzDDIazan8TdT24tBvR72+UVEQu\\u002fuXYMQv58tV6pvyylpO5EOvG5r\\u002f6KzOJscwBMGkJI1s6XD66+b\\u002fc\\u002fWj770XDCRH+0oUE2+BK2eeb4qOGG7ibgC3EpB6S0RkIpB57JbVhECBuGSCqFtKvXEvCi0NToWtGNdfPne5J7CbxOMRt8yT1\\u002fvov5J7iohg2ERmh25KeEMMtY25pIiGzeS2B5nz\\u002fe90RIXvCKb9yyBwuXrkfAstDZnUQ0HMIlF0zGrdfPwsUzJiEUChQ\\u002fczRtoeA5\\u002f78HX8TPfvtMH0leADNgWSZWv7UDrqt6Oqf6vdcAjxMZDeSkmZ1e5tqzw004I3WgpkNLSEGQ8DuzgiFZwQTDIECYEikr4nKeoRmISvArHRx4UdYbbTaEmVMyKpQZBUMzSJFAhiXaNeWGBKVzNnfztKhO\\u002f7YrXJNRZICAvMOGTSwSkDAEs3GkXU5KcDYLWT8QoW98H2ZdPXa1Z3DTHzeiI+MgaMledrnnF\\u002fnvq0djfG2kTyjNH+lEUkr1hdm\\u002fze092F7rN9XwveymVK79RNPqB+8vqex9cdxE7xMPB9B1\\u002fpk3kuIvBQ05Ja81upWywSyDUpoBQUgrDVvrrQ7z40pjblVXdh5t2GAXjjd35kxjVm0tU2Oj8iT6X1ouOFugcY4eOvWuAVD2LcyawQBJL+R1+w0XImAZvu184v3gHmyci227DmDUsAG45vJpuL3hQkw785Ti312lIcWR57MV5o1JKfFg41zM\\u002fsFDCIcCR9QlCz6FYMBCobyyAAFwlkHnlSHzeWuPez66QkhlrByZiJjECsQugx3NyLCUB4JleqcRzWxMsW7KmbGtTiyYzzsFU5dyGiSUI+qE52FPKoJN0okaRFF2U5fFdX6W2xKZbOXcMSpVkc+50T\\u002fIicm0pjIwqN1WcRkiCI+k\\u002fV8AIYBcDqKsHOFv\\u002fxDmqNHoSNu4uXEztjSn+9jlwh+n9PkLh+G2M+q8RhK98weYWUqJBxpfa3nsmYUV3oiqopddKuUcUAZ9DgBKKntfHBfReeZMwys6aVSdF5w52dCYLYiu0QSkXdc1hTCiUlgMIKv0NlvhZWI8WbGvfQHt3p0rHsfbZRkAk9+l9a+GL81JuzeTYQ3Urq2EFDKbtXHK6MG4+tKzARxfm+XiOn0Ve1dTC5au3IyvfLYBt11\\u002fIU4ZPbj494K9f+QiE\\u002f998DSJ+x5+BV\\u002f7zgMwpOeBPlpVWc+0k74gMLkQGMJZI53Nh37nRClHZcibQW43Im4rAk6LIueAzejMq5iTM0QOIpzVxNAaIeiAKQrH8sidh0BCMUdN2TE94oROcTszM+LMZ+RbKsqVHQkRm\\u002fmcRgISJAw9PCz5YBfDYE3NgWi4MxjPm6lEQAmJw\\u002fqzCgHO+yT\\u002f3n\\u002fBPH0icraLO\\u002f+0GUt3dHrTUA+Nl59Wje9eNsJvodVz1\\u002fwsQtq4pan76999MFYWiwb9XH4GCw0iJvA\\u002f719+f5MvzUsqey8c9el\\u002ftAGyoRGaAN578VlVsbz+giD6pClEeU5rRIVARmu4mptAeJU1Gm12lg9YsralcIw+avnbv8MSAK6beFvEFHKNFHIUsxdbTSTT+Opnb8C\\u002fffq6E06QKVjaB1s6kc3ZGDG0znudC6OSjmdWek\\u002fSzA9\\u002f\\u002fjh++PMnYFkmJFG\\u002fM717f6HCMriflwlAWkOnYbDhjxr01HQmA14nF+l7zwkM4cedmQQcLrwOViAqg5uZUY6Oi0VX9Ti7Mz8soANldjaYV4w8eQ48r6s8MZgpaoC\\u002fTyPUjzvjRpVQSMpA+qH4bj3Tbol1QfZ1vvnquiivQOh7P0HgjClwXYXbGjfjkdUH+2S+SUHI5RUm1Efw6sfPQF3E9HPZCxfC2zDT6Vzq8hu\\u002fntm++2BNKGhCayaAlZABqV37l3tW3\\u002fdJzJxp4O0SIu8h9CvRD1XT22ZM\\u002fohl81dihjFWMSPvSZz9KVc9C8LLbY58ceyyZYni53s71P4qtfwYaHhUoPEGZUrzBinkKFaOBpFwXRf1tRW45UOzvJ3lRJLger29vrYCQM\\u002f44kJr42OhUE6aSGXw\\u002f779IB56bC5isTAAHJHkRGABUN6XQ5JAopc+XDA2GUBcQlTC9WLevrdTkeeBdxnIMYFJaPIKg4jACBG1DQgSN2dVlSTIdpf0Z8uTxhexe2AmDyGBYDZLaCXJ3nmZCChkypFLxIZyaRI6bcMoV9AqoF0ncp9Tm5oh27XlKmGThARAUoDTaciBgxD+9o9gTjgNGdvFhx\\u002ffjMdWNR\\u002fSLcbPYw8ZuP\\u002f6U1EXMfuxyxlSCver37wvtXFrU11FeZRcVwHMmqQptcqvJ8ZXARDmz1MnfMP\\u002fAXAY0XunrR6cPmVaUNB3ywxjJkDocpxm1lhkCDycU86CPpK7JxTGf5FD7cRBaLxBjx\\u002ffYCWh7yZIZhAbUqAzlcEdN16MgfWVhWYEf9EJCtlrJzqeyZACa9bvxJe\\u002fcS\\u002feXLUVZX7Mux91nIXwNN68S5Ql5IdFDZc1U0oLlVeabQZYaxliFSG\\u002fRCvjQqWFzBpESgpiU4CjkqhSshEjZZapnIg5+ZaBYZEfGxHhU9zuyjHZtug6ijs30wi3HEoCUOwVAlhJJhges+mwkJgPCVCKBaYF8+apjuNuyRHiQuPFtGV9Pza8+0vm7njEtaUrDeSSCchTJ3iOtxEjkcm7uP3xzfjT6maEwj1NJAgA2Ksp\\u002f+W1YzF1UPSweHkh7+C3D73U+YfH51WVF0ju1Z+CWaU100f2rrmvy8uA+8crQT0eFIle1PD87i6kje8FhLhLM9DhuK8B9IjWNL9m8fLiuNhD1PLjDIW9TfBaPqvucPRig8XZXrqrkI6rUFkex83XzvSJ2pMyeaLwWjof+8OFNNXChvDrB1\\u002fAD3\\u002f2OLoS6T6tlntDECAEKJllKG3ap4w0W+6itsAFmRYrZ5iUdFmlFWmhXKyTZbkfZapNdlwrD4FzKqjrI2oXSa05IEkFBXHcgIgbQJy0iDoZ07DtQZoBTjJsCESFxnrHCbkamgSDBSlLOVmSHBEkWByB4MVrAYZDAlX5pHlDpDv\\u002fdbuKI3Apwsr630QZrQuPy18TzXFtssWcdP40UfXvsw2jpgYtyRxuf3wzXtrQfhjJBXmlp9+6chRuPL22T3050FNjvmjZxpavfuu+YDweMbXWPWkAQkrt2l\\u002fYu+aBN9HQIP+Rc9mPhSLR\\u002fTAmdcyY8nFW9P8sQZ05rf\\u002fTdfFwzZIVmwrv65Oh9k6q5cdC46MaIAhXfQ5SEggsiJDK5nH5hVO9KSQn2t31BMHoSZGVRFi3YRf+88cPY+7CtQgFLUTDoUNJzlIQGIKyNiPviNQ5pxipu2Z1OVedsacmsLs8mPmNA+Q6IYX0SkPhgiCyWdSqCAG2Bs6Kwbgm01WmbH+4gwKUC7jMcEFIEYH9MgKCp\\u002fabzOgi0+tGBUAQqTBR7kS8JhKMJCRu5QPBZ4Lx7jczsqxCasRIm\\u002fMyAfPpFu780sc+0TTri7cNNATi29rSfPOjm2j57kQfkgMFD7uDz5w\\u002fBF+bObQ4dKIApT2S7z\\u002fY3v2Jz\\u002f+3ZVlWnLwZjT0FK659b9OaB35VCqUdGwYDtGLqVGNsRI9uV3SnBMJgfPjZBctfv6HXzOe5M2cas2bN1zTnXeDNbGiQaCQ1bPJHz2Xmi1i7DBBp9qaZfOSWS733HX\\u002ftygmhKMGFgJQCnV0p\\u002fOL+Z\\u002fG7P7yC7kQK8Vi42GCx8BEhBBERJdM5ELuJ8yZEuj5zedq6aPSeiJDJmJvSyI2woa8bwrk\\u002f2IQgs2IBEGOjY1pZR1GZABwNXZvtDNkK3MGyuFOTn3RCAAn0H1lKmmEmMGkmmIJ0zOpTUn9cUBAI2Xnjp+G94VsxIrUzL2OBXA4RSzb\\u002fz3c\\u002fnrjpulkjAARe3tqBjz25hZracwiFjD4kL3jYG6bU48dXjvYLVXo87P6ASMrl7PxHP\\u002fdT1daRqPQ77xCgNUlLKpVfmcnKzxXCq\\u002f1+4RKKMAjgrlAoCp2ttEn9cODC1a2FP7LnwVQE8IV\\u002fG7v7+DDea+zH0P8kDMvUbt4VUhrJVBaXXDAJZ50x5sR7tR8nCs0ivCaFDh59cgF+du+z2LpjP6KRIGKRPqo6SyGgQZRKZwBw14Uzzmj+5zsvDpwf+fkgtL9huk4cuQyxIQ0SqRwCZ7YStQ9F\\u002foWdJEKAS5KXWHX5gJexBitgJofaCdtgXSNJ9mnGeHQQus2QIsBgMCwBiptCqByf0F4owMiQxFA3YTWGt\\u002fMXs5VtzWPGdf3mR58JjBs5cAwA\\u002fHzpPnzx+e3IuIxgUPZL8vNHl+PXHxzrV6T1NJHgHlvL\\u002ftSXf9HxxsrNNZUVMXZdRQBrIkMw61al9M3tm+9P+pVpJZIfAwYAlC9c2AlgEdCr7LOQpfaug9clZNAZd44B+HqtHAaRZGYYUuCWD82CYcgTmrxyLPQOq0m\\u002f79wLr67AL+9\\u002fDsvXbIVpGsUiE+V1wWIhJWnNlEhlYBlm89WXnd35+X\\u002f6oHn6qcMHAIjr9D2wu+4C5XezYYQJrABhgFMdsC6ScNqHILRsB9aX17rzug0zLDTSChgdVMbECMt0gnEiDXI0wPsRzAvA0AwEpRDlFpkqixPTeohgCIF0Jos6ww7c\\u002f9H3C\\u002flPnw0GTSPalrbxxRd24L7lB2AYEkFD9JmsYghCNq8wfmAUf7hhPMqDRt+WUL087N\\u002f8yR9b\\u002f\\u002fTs4tqqyrjhui7g+XuZARfgj+5f++AWoGSXHy96nHGzIQqVYXP+lk61E4WXIAMJfEpIK6xdRwlJMpu1MWnCCFw2a\\u002fIJzzg\\u002fEjxnnvYbJXjTSZ9+8Q385vcvYunyzRCSEIuGPM9xrxRVpUHdyZQbjQQ7br52VtunPnJl5NSxQ4YDCAKAch2WkaEUmPpTOG9+nJBvB2TIM7Zhgd02RN5vorN7uP7mznI3qzkYI0YCgmda6WRdpqu+XUgcyUN+KAp2+u48XEGAq4EKUtZAqSMOe07B45KJQgLKhU4lYY0\\u002fHfSZzyM87VwTgDl3eyd\\u002f9tnt9NbeBKyQ91j1mZPmk3xYRRCP3zoBg8sOH2\\u002fsk1w9+Njc9v\\u002f61VO1FeVR03XdwkG0kIbUyvnKnlX3PVNKijkxnGwBRwGAx0y6Y2BO0ApBso5ZaSml6E5k8L\\u002ff+SfcfN3M4+rwciwc2lPuhVdX4FcPPo\\u002fFb24Cs0Y0HAL7lWgFeO2INVdWxA9ceclZic989KrgoAFV9QCCfrYbE\\u002fkzPlkBJKHbl8Jd8WlA24AwAdbQihAMu1h3cKx9+Q9qYOicRULAsGTi+fhOOSDdEcmTOGrnzN5gAAYz3p8\\u002fxd6ighZpjWEBbb9YtkOqdEbCr8Y7IoQEtAKnM6CKMgRuugOBWz8MGQ6jO+vge6834SeL9yGXVwgF+qrqgEfyvK1QF7fw3IcnYvKA6GEkd10Fw5B4ad6qjts\\u002f\\u002fcNwMBAIkl\\u002f3DkAJaUnlOL9pWnPvJ0okP3H83fu6nxB8kyIPukXKQJ1280pIKTPZPCaMG4orLp56wqWovdGT2upJcNdVeGHuCvzmoZewZPkmsGZEQgGAqOBo805WaEfsDzecNH5413f+\\u002fY7hAMJe\\u002fFyzlNJnuA+SACuIqmkwJn4L7pqvAOwCMCCkRi4r+fT6LcZPbpGJf76vXGQM5fw02pEenuus64ZgeZybNINgssKBQJy786YlWUMJgTJyDshseoh7JHFeGBfLAKeToEAQ5pVXI3DnXbBGjwYAPLuxFf\\u002fvtd1YvScJIyARtPonec5RqAlbeOLW0zyS676tq12lYRgSb67Z2v2xf\\u002fkvM2CZQSEKHnZWwghIrZyXY07q077zrWSTnyBOLqI3NqqpU+8Kt+r8P2lWRQ+O4yq8\\u002f7KzUV4W\\u002fQu6u3ooaAEFLj778jL87uFXsHDpemhmRMJBEPnDBpkZJIi0IigFNgzArzCLRkL0\\u002fKsrxs75wUPNs794qwWwIcQRnAXkSUpRfzkMbcNd+zWAFAABIZjyOUk3nLUptjNxWkfyFeLbnN31SU10Iq4HDa8N1CaKZNvJtEw4hs3A6ZUWidQRkpKlBJQCZzKANGBOvwDmzXcgOM3rL7+zLYPvvN6E3644CK00giFvZFJvVR3wbO+8o1EVNPHE7adh2pA4XM0w+pBcsSElbdq2N3HTXd9ztUaVZQkvvZVZe4MX8hsMy7h9w6pG2yt\\u002fLRH9RHHyEN1X11pV7hYhrZFauxogoZRCeTyCD155rt\\u002ff7cSkecGLLoQAa8arC9fgV\\u002fc\\u002fj9ffWA\\u002flakSjXqmo1trvnSGImInyGeVEK7pVOJwLtLfUsmEaYO3NNIuGjB\\u002f98snysrLogX+565pBSmkh5BGGKQkJsAsx8AOQKgf11j2A8CaYAgw7K+QXLtpYydUjKP1ogMBZ\\u002fzPH96x7RTUCb2Wk1e2wqBeAq1ifzYlq6c1a8NZVMHWUAicSoGAQxrnTYd14K4LTLwCI0JzI4\\u002f+W78fPlh3Ewc4crICEkH1HGRcgBcF2NCKWxMM3j8f0YXGoQ0iulIIhJe3cc7D7ug9\\u002fy8lm7eqgZbLSfhhNGEJrtQ+ab9j5xm+bvfpyKqnsfwFOEqJ70zUGT2sIIUef8NO7WQhCNmtj8umjMHrkAO+BPU61vaebifeAP\\u002f\\u002faCtz78MtYsOQtaKURDgchggUVnQESINYEx7ZVINSRmXBOPjXq9KgOhMqqFj+7J3Rg13BtBQW0htaaayrLIl\\u002f\\u002f3kMcDQebPn7b+4Y5SsHopTH0ARkAK8ghNwBuDmrjtwEZhNfCQUNnlKRJTTBzg2E\\u002fcQAgGzgOC50BWKzQBlO\\u002fLqt0mJWhWCBkyY4xmRYTTGEIwQCIs1lAuaD4\\u002f2\\u002fvzMOkqM79\\u002f33PqeplumeGfROGxSUquGDUXLfgHrf4S4ygRgWXqDGJNxpyI1F0HAVEvCoa4oIaEUyugjFxyVVjjOJ2Y5RFVBDFBRh2mK2nl6o657y\\u002fP6q6Z4AZgsoykPN5Hv6hq2ume\\u002frb73n3TnBPPwnumWchcVjY+ZdXBo+8swJ3vbUCS9ZkQTFZai\\u002fd1IoDUTFMYNA5LvH4DwfjpL06b3ZcD6veJNWuWtd49iW3enWNzT3KErFI5MxhGo0zrNW5yxfM+ND65V+PXUPow0cIzIKWhfSxkOJwNoEBSIYrihUOPWhvEGiz6qq2CGe0t1j+1\\u002f7xAX7z0LN48+2F8AMVRtGj63TLER3w80anKtdl99mvkB20f6VJlncnoyUxUHfEKT27vv7c0vi6lVUci0kYQ0pr7tq5Iv2rmx\\u002fRiYT7xQVnH99fa0PtpvxIhGIfOBKAgf7othbLTgKc9RD71kqg0APec2tAMV3yodt9rSCkiDFHVup5GSlSQiFjYA5Pi\\u002fgAB06u0QdpTUyA3Gc\\u002fiKOPRfK0M+D0HwAAWJXxMHPBWjz47mp8uKoZkIRkWdh00pYVB1oCb91SLp48fwiGDajc7LheHAW1dn1j4\\u002fAfTfRqV9X1SCVbRB6V\\u002fPjM6sLlC2a8gWHDHMya1QFTvbsOu4bQo3JXQ+ZnrUcNEhGU1hgQtZGacGDgZk9v6e+mksDfmf8J7nvkL3hp9jwUvACpssTGu9SIQMwEv+CpVGVj8+Bvebmqb6RMMtVTaAXyCwCi8WlOLFV3xGndu732p1q3cX0\\u002fduICbIhZc2VluvLq6x8ECVp6\\u002flnH9Q+UJke2ZdmpFKCTAy8CkYRadCsgYmFhPAtwLofYsPWA3x3ei2tBifZ3uzERHGYY6Zj7dG9DRHFBAgELcUzT57nKRGPP9b36cPzQwyl+4ncQP\\u002fBAIFUOAPhobRYP\\u002fnMFnvqoDl+sywFSIB4PPyqbBttaIwWh4Gv0KY\\u002fhyfOH4IiqChiDNkW+em1D49mXjPc++2JNj1RZnMOqN2aQYAIJY9Rly+fPeBqwbafbgo4v9Kgjqe9BIw8H6AQ2eqM2FSp24xQ7WCLCFk4uTVUtCmv+B5\\u002fh4d\\u002f\\u002fFc+8+DayuQJSZQmkU0kYY6B1WE5HWgOBr1WqYk3z4MNNvv\\u002f+5SYe707GkPCjCpPwfmHRqfJh3Hh6\\u002fdHfNd1ee3q1m6nvw04MzIagNZeXl1VeNeYBaGWWjhxxwoAtFvMUo\\u002fEDLoRDBLVwQph2gwx7WXPNiJ0sAd0L\\u002fkurgCQjPMZHPa3FWlilkJaMm4O+6pm1ijpJXzcI4VV177xsxHln9VF7D0L3I48iJFMAgA2ewfNzVuLPi+vw\\u002fMf1yOUV4BCSyXBj7JZ66IGWnvL+nRN4euQBOKhXaouWfMSPJvgff7aqRzoVj0pbwQAxkRDGqCuXz58+3c5823Z0fKEvXBjGiojOETIW18pTROQAABtGLO7ijbc\\u002fxAVnH1cajwwUP\\u002fMEyHCay5z3PsG0J17Gi3+fi7qGDMrTyagmPfSpwyCbIXgFX6cqmzJDDszmqvbpYhJl5UJrkO8BYWvk5golAVIeOF5WseHoM9Bt9tPr3Fymu3FcZjYENqisSFf+fOyDpLVZevF5J\\u002fVTWgvZrs8eHuNF\\u002fwsgSUJ\\u002fOD7SsgTYATc3IHaqBNAP3ku1IKcQ1trosLuFmZEoL8cTyUFrXkrtJ4cf3Cl39KH7rTvxuIP7DerTrZeIxdIAUNscYNEndZj1\\u002fho8\\u002f0kDahs9QBk4CQeJhAMGb9GCF3EEIV9Q2KdHCn88fzCG9ExBb2LJozw5rVpd13D2peP9JV+s7ZFOtbLkEIaElFoHv6yd\\u002f+j9wDAHsMf1bUUHL5hhAoj32uv8Cj\\u002ftzoUQe4KNQetIFIXri66\\u002f5hxcfN5JiLnh2OBAa3zy2Uq88Y8P8fc3F+Dtdxcjn\\u002feQTMbhurLVEV2AjAa09lUqXd+85xCV779\\u002fmU6UdRZahW1hhI1OEe3\\u002fugx2Y5DZpoZurz2Td5obenIsTmAmACyFpA0NTZn\\u002fvunSussu+E6VMUxbbIVlA5CAqf0z1Ic1AAeh324MgACU7gbvfyugP3IgelUC3XqCeu8BUdUfsT57oL5X1ZruvbsTgB7FWy5pDPD0glV4a2kD5q3O4fP1eRQXq8UdAUG0VeKO3vow8JZXOLx\\u002fBWb+cDD6d0ps1lNeTKF9vmx10\\u002fBLJ3rLV27oniqLcYslB5NwhNH+dcvnT781mupru9G2IR1c6OEfvOrgC44kGX+z2KW26VXMDD9QqNqjO\\u002fbo3RWFQoC16xtQ19CM5mwexjDK08motsVEy0GjIFvgG5Xu1JgdNCSbG7hvpUmUpckYgvJbjsFbDTMMNCfLHNlU73f9v794bqapnIk0wJIAFkJSXUMmc8PocxtHX\\u002fn9nsxwi3U3bdwvEruEWTsb6r1rAdUUlssaE2aanDjk3tWQVWds9EwFYFUOWLiqEfNrG\\u002fHe6gzPXdlMXzQU2PMNQTPghvXoQLgffSszdiUkAYW8wpkH9sDvzvoGupa50Bz+f+n3UAaOI\\u002fDJ5ysbf3DR+GBtXVO3ssQmIpeOMEpdv3z+tAnRcd12o21jOrbQo5RKv4NHjRHSncAmCPNcm1BMqwWBgtIGRCi1kBb988iCGxCFIwd9T5lkuimz9wGFXP99y00yXU46CI+\\u002f7SuvbRhhl7SQEm4S8HINxpF\\u002fKvti0QNd5rx6J8WSRxrlaYS1LiwdSes2NBauvuzM9TePubAbgMQWy3aL5bJ170LN\\u002fwVQWAs4KYAN2ChIx0F2n3F4ou5YfLxyORav91Db6GFVc8BrMj4QGIIjAEmQQsARBEGIfO8v\\u002f2cJMxsMr6BxxZF74O7T90LcERuXtTJHq6ck5rz3SeO5l0\\u002fSzTmvSzLhbnJcd6Q23g2186aPsyLffnR8Hx0ACAeEkSgybX01hT2r4WqkWAzFWHipGwphxzOTcAT5Bdax+LLM4MNkbs8DKk28rDMZQ+TnQ\\u002f+7FGTbCsKeSg3HdeC4gJerQ6F5WgA1FdUnLM4A6HLYT35ggtzTJGOHsw4UExylNLp37ZSY\\u002fOCzPeobc+smj7+sQgpRXpyosvnrjwJ0XQ6Fe9hUqHm\\u002fADcvAZxyQLjQOkD8o+uwaPVPMXnRUEA3AI4DCEHxmISIO2EHXmS1v6rAAZSO9loZ3PSdgag+fgAQvcMbNahwOP129lsfNI36zzvg+6ZLMu62DryBhJRsgjG186bf1uq4bkW+Hfj6LV47AGJKb419LQrblNJpzAAbki4JkICfW9g8cPBLa046D5kDjuzFbrycAo+gA7QZZGv\\u002fBxkwGzgxQjLlsNG18Aq3B0YdEowbNhrjTliMahYYVu0sfefe1YGMnc5GvS6k6yDaGKuUQveuFbHHnvx771E\\u002fvSPjB6pBSkFKtxNkJgmwAZXvC+fwhyG6HA4ETZF34UKAcVe\\u002fKbjjsHlIlHdH3AGSbrh9VEWFLV\\u002f2aL4pUhC8QCMuCFPP+gaqjx9Qum\\u002fx3TMGHE3d1U88\\u002ffqG8348yVWKK4uz9SNfhEESzMHPls2bdltoyWvanpZh2SbsEkf3qkNG\\u002fY4oNop1wKCNd\\u002fa1A4NhSEpJJMGF5k\\u002f9zj1frjvi5N6qvMtxwpg0Ai+88ss0wDBMeHRISEgJ9vJfAPyAI\\u002fw\\u002fFGpOWhb+zjMl9v+QURMFk4qv4YAfdmYnNkNK93SjA4VwwCo5jkRjUw6HHLhn7aO\\u002fuSbRu2eXbkppdpx28m\\u002fRMR4qA\\u002fV+NczKZwE3DWYBsEI8pvFo5lL8eP7RKPg5JBxAb+1sii1QjKwP7JbEw2fti+MGddpoJDOA1mO11R33PrXhtil\\u002f7JRIxOKyNMeeDShqlTP68mXzpz9UXKcFK\\u002fLtyi4h9H4HXTxCuM4TrHyFKLXWJhyOviIhJDkxcCG7AlL8z9ojzyj4vfqPEIR94BXCvNyX8sHZAAS4cQEpwcr7AFo\\u002fqprMQ7j7uAYAwMyZEsOHGxC18YGNjqX7D49VxVMPCumONNo3xWiflIKzOY+6d61Y+fjUa90h+\\u002fbvvmWf3ZRCFWrxnTCf3g\\u002fIBJhcGK2QdD08mz8bl75\\u002fBtZlFZKOguKvdnijKD3v5RWO2bszHvnBftizS6KtHDmklAgC5f3Xzb+rn\\u002f74y10rKtIuUJp+q0kIyQbNmtXFK+ZPfzKawa5hRb7d6dhCj36\\u002f\\u002ffevdptjn78onLJjjSpoFOO1AEBFc0VCCBcQEkYX1jm53G83DB32Xmb\\u002fQy8UzGeRMUDgcWiCts4RAMiAQYglBdiAVWEuEd1T5meeaZx4Rj2AzS14e1SHk3GAatH34KV3OI57tdFKA4YAElKGk2ukI+sfmPQT\\u002f7QTD+tmmCWYWbTVqcNRVRwR9LKZYcmszgEyBW0Ukk4B7wbfxoULR+KjOoGE40N\\u002fSbHLyB9Xvsal\\u002f9EHk0\\u002ffC+loT9omdeuQUqCuoTl3+eh78n+b\\u002fV5ll87ljtY6LEdkaJJSsjEbmPm85fOnvWSLYXYsHV3oJYH0G3pJHwI\\u002fSCROA1HLjLFI8WwUIOQbMp99XBvvqdqLbjxF+N4EIZxeXMgagNtfkLY5GoBELAkYDbB5A4G6P\\u002fh4zeOYNSL8cFa\\u002f4qDmWB3W5m01pa+o\\u002fkMvvh5CjmOjEeXKhBAEpRi+72dv\\u002fOV56356yRm9EEbk2xZ7+MLDWvi6OVDvjwVnlwBOJZQxKJNZLMMQjFryM7y6PImEk4eB3CrzWRz7lIxJjD95IK45KlxHtfEGlbD7z5ECiz6prb\\u002f055OdxZ+uKO9UkUIp1sBQJB2Htf4UwpyzbO6jc+w2lR1Pxxd6SCSQatF36BcnC4NjQOgFkGCYtSxiC4zy3lm5YMbHeI57OfPefoDIORNBAdBKg2gr\\u002fHrmME1GocADD2DzNwNxj27I\\u002fBW\\u002fOS106ofPlJjZ3hF9a2ACRghglu43dOQVRO5kAic4VLwMN00TNWay3oXDj18z6YaLuicSseQW++yLR\\u002fn8CqgF18Osfx1wK6FZIIkmNLsDcNWy\\u002f8S0j3vClVkIIdqNuhOFEdpCQeMbvdP47Zl74YRBnaMSWGoVdAvX3hOBn3vx7Q1XjZ3qFvJ+ZVkyxiqMrAPFdUk6+Aekd\\u002f6yd\\u002f\\u002fwmbXkO4ddRegoVslt6Qrnpjd\\u002fSsZMQCxRgUI2PNv+SyvOjLCARiBeBng5DaLnTcCT9a3ffrl0WfUrDmqO25ZWSAAw\\u002fb458mRhnGkQojfroPSlJKVEXX1Gf+uQvTfcd\\u002fvP5KD+vboqrdFu2WwxSKdz0IvvhF76+zD3LpJwTQYU74aJ6y7CjYsOgfYzbQbpBBF0dFQ\\u002f55BemHz6nuiVjm1+VI96+AF4t0\\u002f5Y27ilCcTZclE0pHE0T40BpMRTkwa7T1tvNwltQtn1VmR7zx2IaEDAAioJgxfSPiss8CgeoNZs7T7678dCDdxB2LxExEUwnKsrRkaxwiDe\\u002fEk4BUUgf9oIO5Wtxz9f+HjTLgJFI4T\\u002fqoWfAsMq3Ywu0b1O2jkYCLxuHBiQ4z2Q7cBgONINGcLqChPrr9v0k+8E789tDcAYRDuadv89bQUDpoVz0Atmgj4G2CcCpApIB5nPJ8fjh8v\\u002fC6WbcgiGdOlIF3xqJ6OS0z4ziBcdcQe4X02XaxQ9MfrM9mrb5iaffbFf3atrEjLlqBbGFknEmA2dy6b+8jo8Jm2rHVnsqsJPWT4TFn0lZ0bZ19BkBPhxjuhkDWgf2HFw6FwBoBEPAX4eZ+BZ0C4Q9Uc84\\u002foKsLMmQIjRuwA6zPMAWarPvte2NVJOL8TjnOmUYGK0ogkhUCgNQoFPzP2F+dkf37Z\\u002f+sEINHKqm76AqN\\u002fAty0GOqDanD9u4BTAc1AUmbwqXMSLl10DmbXJhB38mAS8AsaB\\u002fUtx5Tv7o2jB1SWlje2OqozQCQEmXfmf5z5ybX3qc+Wru5SWZ4i3eKPa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juHnmyz28CBKex6k88583e+0IKiFDQCwAFqA3gpfX11NDZ6U58fnt19eWc4+sZeqUFVhHppao4n0BRhcajzFHCxJtJIAAKhXqfAQKQEckCeJBAvYAeUcVDBDyoxj6wrr\\u002f\\u002f\\u002fvxJJTivRkAI0GaANwOyfUXNWod1ZRb4n02DvX+ceL6B5hG8b1ovVsgZEQr6HOEJUSMDbWgCbPD41uW150YcWQ3YMgWuVtBqBlbFDS+OgJBVhYV6S616Qiy+ME0QUviPjX0eADBAESI4RDD+ZJBUgSsyTMB+Ad3LRLtcyv1uY3\\u002f\\u002f\\u002fcHxmgF+PupMHbrcnRUV1UDk7wh4JhQXE+n9UGwRde4dzuneFz\\u002fy4BP537MD9WYNOm0o9HNHKOizjC9wRHnq7Y7KysWkkeuVZCMrPTfOfDnDe4GowlXAQq2qKhERAAoE17+Bk7mPwQKvquoJHpFxQGQIYCJEQDhqbYYIuyDUZhD\\u002facPQHw9PPNDPly0riidKNhnLr3IMXhAjxoi1DwF6t5Juidvsluv27j0UvL4VML5hUEOhn11CQZ8lmgFuQSMR2iwAbKmqijnCzyHVZwL4uwhxRYwIrioyqjbvraTexDCT90p91d6TfFVlIpNghqtAWuRRA7QJ6c8ODfS2BxqIf14KAFsurVoZcehVBvS35zpOVVIEo2L\\u002fwoo7BHSHo5nOhqGhw8EHtqPe6UCnhPv52SEU9Bkk2OPmG6i2Lq89NxZxb7TQ2wi0uoQNUipwVaFQCxBRAViz1ftPAGKHiBLEGBULBf5gCK1ZuN\\u002fY2N\\u002f\\u002fWKCaN8CzLbRWVi4+x\\u002fKLmfl9pWwqAW9roCI9QtQJsd9Xo79f399\\u002fBBg35IX7+ZklFPQZoBngNfX1nG9Ya1+5ssoVfgWDXhljrlQFMipQVdfXmgv2XiigUBUiMnFmMIC0yENW9XM5R798Y1\\u002ff0WaAr6itdZq6u7OAN6EZk3snM94cZ1NqVcEgWChclQcV3OYQ2tb07\\u002f5T8DmtgMm3V4RMHwU7uOYj\\u002fh50bGXaUlW1yHH1WUTmNQxsLGJeklVFVjVQV2daJZ9WNG9\\u002f7RCZKDGS4j5Iio89Mdj73SbAtgMO6usRTHK7yqufCqJmJnoRALgiuShzJEaMUWuHlXC3Qr7kDPRtbQBc\\u002f3MMwhV+Wpk3g6yQCVT0YDXqqK6+PJejVximGyPA1QxC1lvJLIEIBaCaTxVf6CVGZPwVfpcF3rtxsPd\\u002fAG8PfgCdGlyTXRWrGgn68ThzZVJsVhVsiJ0Yeau8hd4tkNsXL+n7zuou5IDjJ86QMycU9CmSr25uK6u+Osb0D67ir4sMx0SBlMq8XL1PF\\u002fUFMcFsUtZmQfRZS+6\\u002fju3f6+vNms5OIUC2X7rqYo7ol4uJbxoVsfnhvEXMLJ628wcLfPEwuW1N\\u002fj7ev8anFbwTcmIW3MCbLfJXm59euurixY6+E6DXxpkWJUWg43vNaQ1bLVQUsAyYImaMih0A6ANrB3q+S4C2AmYp6qkBne6X6+oiK584+pliY96UEoWFimd8VKsgjhOTIWBU7G5D\\u002fMVs1nxn077ug0C4h58KoaBPkolq+l3l1bcw0eYY80XewBVLoLNCuCei3v7dRokcALDQX4rov6wd7P0VcKyg3lVe\\u002fTYi+lCEeFFKxSXA8Y8hBGiUyBgiZET7rejn9yHzpdcODaXV2\\u002faEfvhJEgr6aTJRwLeWVz81xvShKPHzs6pwPd83L0T1fLL4wooEM2dFsq7Khw8N9n20CbBfRl3kEXTZzYBsW3lZnSPyn0VsrhwRa323IgXHAIAoEUeJkLL2f4XMe9cNPLgDCPfvk+WsH5SnQ\\u002f5KtL2yspo18k8MfXmcuWhURDBh\\u002fx1Yp4HjL3D+vnShTwoKtQwv8CYt8uND5L7pJf39j3mqPKgBcO8oq72oiN0vxJlfnBIROcG1JEBizCanClH9Fhn54Nq+vj3+80xh0M2TsqAH2lTxI78AQNuX1ZwvMX2jAv+vxDhLRsVCvBUl34IuqiqGyIkQ5R9n7LcCEAXESzbxglK80HXvDf7\\u002fyf8j7xzmpaU+UOeLmZ2slT9lHLllQ1\\u002ffPUHiSzCBtpetamFDzS5URfW4SdBf4amEDSWt+7gQfWxpMv7lqx+9b1QBbgEQRtmdnFDQT0L+Kr6zctUbWfQdCcMr0yJwoS5Axr94EghjhIjjxBgRmxbVLiJyAD0HoIgCBgoH0BgBcRCVRIgQ9RNM\\u002fKhz37QcJK2M\\u002f53149LnqxaggI0TG6symlW8acNgz7fbAecAoIEKvqO8+hZD\\u002fB86PvMdpxApVByQiTEjZe3vXaX3bRzquRMIrfOnYl4OmpmmHXAaAHfr8uXnOk7iswnml1sAGRUXY4Y2FfKtxIC3QmdVHhTQLxzV\\u002f3qu708OUDRzx9K2olQ0e07CofNd1uUEPgeC84lpiYUuIVUGoQhACSkVg7QYimKAFhumalGFBZTn6X1TQByAQaSu2resH+j7opcDAA3sHzvKq18dYb7d+lrPiSa2wIefIDJZ73XfdAUf3zTU82C+Fjab363QmZcDZqbIt+huK6u+Okb0tZjhOt\\u002fn6+WFetZgKiJCUhSi0qWEX5JIR34Mt064tpM1GilAXXV1zvDevTEUFTkuxd4aZfqgBWBVJ24Z5g0KiAHgEHHGynvWD\\u002fV+LDCsdQCmAXDvLKt6Y7ExX7AKdaGnMnBaBbiUmUasPSjQD24Y7PssPGUo3LvnEQq6zwTXz61M9FFDfG5abA4ENgiyuRQZlYOG+CdW6YcHB55yV5OfkQYAikYDtOmJBlme8FMbQEtRT6gHekZGaElXlwBjFVrGjHn5bKusfk1U8XkmLs7Ob2FXAjRBzCnYj6\\u002fr7\\u002f1n\\u002f3FuA6gJsNsrq94YU\\u002fMlF1688Km2LAp1DbFTRIRR1a8\\u002fETdvburuzoZ+93FCQce4kG+5tGplIsL\\u002fHgE9P62qBFCUCBEijIiMQtHO0F9Qhn7csL\\u002fn8fz3T3OeNZ3gIEyAvbNs5bMiZL4ZZ65Oic36j3tppkTs55grwZ9YCPDDbgPDXkFMDuptQaSIjRmx7hcOPaP3tqY2WF+VJwLstvLqWxPMX3S9LcspIwsDo18Js5MU3eK6+LsND+1+JNiGzdoXK1DOakHPLwKxvbL6RlZ8NcHmYlcVESKkrBxR6J8c4p+61t65bm9fd\\u002f5729DIjWibNV9uMGg7V9RUWIOfLzLmSqvjzvusKgwIho6z7kP9vzNeVZqC0Ab8HHhbzGzSIt\\u002fEwLI3NKDT9a3ovBlwt5ZXv7WE+bMZVddPdjnlmFXAFhGbtEhvTuxrNu3d85vQ534WC3p+0YSd5TXvjDF9IsaMESuA6p8stJWRa1s7OLg7eE8h5E4Hwn7HiurKuKF3q2oWRCkCpQTyGCkSIJSQokSISphQAtUSVRQDOAdETy8ippRK\\u002fhwx17glzM6wlR8tyQy\\u002fevX+\\u002fcl8NX5HZc2\\u002fFhO\\u002fIylicRohxZ6Fn4wAR7KKv18\\u002fsPu7\\u002fuN0tgp7IdzkWSe44TsqKxdDnG+UGvPiUXEHROnHRvj7R0e154VP7B4GgsowHnSSvfNs0+wXaZzMe+4FIk9ceFWUi5INpNSSYFOXgxfRVyAqvS\\u002fs9kdLzlv0t3VdXa5XmLJZgc26s6z6pyWOuXlExNLp5Q9Y42fWZVX+5dBA73uaAHu27tvPOkEPDGJ3VlWVRi29A4QIVO\\u002fKGvzfjX19B4LXFXqpo2DbERj1eupGqKakRHtGRqgOwHBXia5Bp+AEdoP2srK4S9FbmOidCeZL7Hj5KsIcCrwCbikbZ0TsV9cN9NwSaFBNgP15Tc35xTnsiDFfnTpNYRffFVnEjKTIjx+N4NaX9\\u002fQ8fjYK+1kn6AGttbXRi62NPWe3t3IDnlHtRLXU5zmBIW7s34FHoL2s7CI1sVcx6G+jRE\\u002f169WJ\\u002f6aJAh8Up2TM3GSgAGwxG+eo2E9uHOj5p8DQSYBsubRqZdShnTHi8vRpeh3GI\\u002fOMkxHbpeS+pqG\\u002f\\u002f34FDJ1Fwn7WCnqAN5AagVk0qs01ExN0vC2MeRlAtxUx1wqAtJ9H71v0OUFMUSKkVJD1PBJBRCBheseREiAJZjNs9f0bB3d\\u002fuB1wOgBsBtxd5dVPZaLtTHTBZFyMArhFxE5G5VDOyqs27e2742xa2c96QT+b0QmFHdvLyuKWYy83hFsixM8MjBlZFeRU243SA0LYFCOqMkQQXwPIE\\u002fjpOi8lQGNEnBS5deNg71cUMB1+IszWiqqb4sQ\\u002fFoV5MrfbhONKxNNIkilI0w39vb88W4Q9FPSQ41b41uXLE+c5iUYh+n9Q+o0Y9+vR5cv\\u002f2NDZ6d6xYsWSIk48U0hfRqrPdphrVIEcpjeAJ4igA6DW6gvW7\\u002fWEMihgsbW8+h2lbP41padnic87ro0SGVF9jETXrBnq\\u002ffOZGDfnG6Ggh+RD7fX1Jijs2I56J1jtgeMrvLSXlZ1jEVtDhM9EmVZkxoteTovAKyBRIs6JPiY585wND\\u002f+59xi3W0X1N4rZvDYp1mISxT4UsAnPd\\u002f8HzfD6dY88eLAFoIUs7HPtUgkpLLShs9NVgJoBbkCn2wqYZoDVFy71ova4FTANQ0OH1w31\\u002fFSAdwI4qlBEiVinydZBAGdVJW74AhO1rXesWLEkMCQ2A5w4yrelRH4fYzY6CSElwKRE3FJjnoaYfScBekVj44Je9Bb0lwuZGk8WYNIM8BrU8xp0yi\\u002fLqlfFVRLK\\u002fHfFxrwxKeLCLw81VQSwi9mYw6777Y1Dva\\u002fKz2XfVV59PRO1+7mpk1m4bJwIKdE\\u002fF7vJZ167b19qIQfUhCt6yEl5skG\\u002fGZAGdLoEyE1DvX9et3fP79cNXv2WpNjWUmYH02TkYoBHxLoJw6\\u002fcWVn912O2hMZGs3aw91cu6ZeLyLBO4vMUCiYyAH527b59qVY0GmC8E+xCI1zRz2KC4KGW8d8AziwC0ItPr+fN6LTtZWUxy9FvJpibklZyXlbN1Pzv\\u002fn6drOp+w\\u002favrt+zZ18HYNYAdlfFlRcQcr91COW+6++UnxMcKyvaP6KZ1S8aGjq8kFdzIBT0ec3EnPeWPIFtO+G9bcRSPEYH0KlPFq+flwhy3IueTJ3fDMiWqqpYxPKPzzPOjSnPPRcU0ATOcNVUwBYTm1GxP10\\u002f2PuiY+Phq58XAd8hqtaeIoY\\u002fyJqLEJks5MXr+nt\\u002f0l5f76zp7LQdZWUXCkVfuXaw918XmuCHgj4\\u002fodY8d9iZ0opGc\\u002fGq+4qOWhsvVo2nXFMccYxZu+fPD5zqfe319c6Bzk4NItYmPh8I+9bly8+NRIo+AOAyC1xZxHwJA0jKGRu3\\u002fcoybEZV\\u002fm7DQM\\u002fXPJXb6zG\\u002frbzqk4uM84\\u002fDIsInX9XdEmbniGs\\u002fsXGo9935Lrsd5dUfuzASefdjObd53WDPBxWNhvJqDcxnQkGfZ+S7uLZUVcWyxkTjoyaiLDGQxiJqi6zBSqP8NAWWKjQHAAQsAmERgBIolQCIESEKaBygqAIxQGMMMgo8aFRvN47+9Pq+vgPtgFO6rC56iEYT\\u002fcuKj97a1ZWbcFrHLfwTV8QdlZUrVLjCgNcr4Z9x5hF14hBgFUcE\\u002fFfrBx7sCUKXG2trnUeSubuK2Dw7pXJc4U5ApZQd54h1v75+sPeWFnhaEAF214pV1xJLu19BCFnIC9b39\\u002f5yoVSqCQV9ntDsD9rNgNxfWxt9dNT9e2a81ALFCl0MYDFA50SJ\\u002fOZuNFY8LYDyfucXnww25MFojvg1aFNiH1Gl\\u002fyHoIgDnKGipIfSLyM\\u002fIUI9Y3b9+qO8PwIkt9Iqxlkw2\\u002f7mdFTWfKSbztlGxGSVEJxtVp34Oe9Lareect+jm\\u002fq5KWYrHvFW5bOWzosa5y6pGfBUeChUDNnEmpES+3DdQ+tZb0ZUL4t13VFYuJnHujjE9JSXixpidnMojxsSvaej7076FEFATCnqBMzFqbXtZ9Y2GsDluzOqgmIQAENWg\\u002fKlSUHHG+03AyffVec+P\\u002fTuIY3eIOEY0VsBC4E0CDGDUWhtjTmdUv7RuoOefgFO2TKJmgNbU1\\u002fOBzk4tWvGURXHO\\u002fO5cx6k6KnasNzyBMIkceZsgNiNi37hxsPfL+S63HeXVXy015g3DIjkGIkXMSImMiMr71g32fQZ+LAB5toSo4\\u002fJ3ig2\\u002fNOlnxSlgi5jNqOjWw6uvuumBtjYNBT3khPgC4\\u002f95ZhxTcnpFVa0yvz9C9NeGCWkZSzrJF9ZpvZ+atwcP0mLz1FhDABLMSFr7pYNu6h+bPF\\u002f0KVseByv\\u002f9rLqy+PGNGVFXkaEy4uYYQFkRCDjQk8n+35+3Dq5ovtMBk9v2D+WfiqdKy67yBr5dTFz5bDY0Qjov7Iinw60j+C6ttbWRs9P2W\\u002fHmZpGZaKqr7aYjTlq5QMbB3s+1Aw4m+dxSapQ0GeAfFUvMPaU1o2MXevhkpJjhCAwbHXU13PPyAjVeLnkluA1jrAJ\\u002fD8o3lbMXDwiovAEcE5jIILoNwYkRmxykD\\u002flgLdv6O\\u002fZBYxX4zlUV8cAUFNSougE1qDTAuMaRmttbfTc0cyzlellDK4T4MpS5rjFuJaSp1Hkpw8TACllY4667ifWD\\u002fW+u7Wx0TS2eYU5t1+6arUxekPOtd\\u002fftG9PH+Ddi0Oo41vRlftJWdk5JRS9vZjNC5N6fHCPAup4E5YkLW64cW\\u002fPrvm8Xw8FfZoJBsN07Ou2lVW\\u002fxhC9r9jwypQIxFvdCzGgw8aIjahkcyQfOBiP\\u002fntTd3f2ZC9WeKWsAWB1nmHvWxdeWLys+JxKFr1codcAuAagMniGxJIIETMICkVQ9joCuFnF\\u002f+1PHXnuqx59dPREW5VmgK+orXUau7tzBOiu8lWriPT2OPOzjl\\u002fJjzlPiRFxVnUPkHv22oGBx1rmaUx8KOjTSLtfz+2XF1fURGPOZ6EYBvE+guYUmvRfRgDHGIAARKqWoIsEiAH0GEGOgPgRC11dwuY21+sZ7sJTlQv2fvnZZux4HVDvBnQIRCNQHAThCQKOMCgtOelYt6\\u002f34fH3NZquun7uAnACaz7ay8riacdZ6bjmUjCdR9C4VXUd4qSQJFXMiBjTv2nPA\\u002fswQbjX1Nfzms5jq+zsqFj1ugj0Iw7zRadTqUa9yrJmxNofrRvsbepAvQm0rWm7eLNAwQ6c+US+RXx7WfWNDtNX4syXAIDjW7\\u002fzL\\u002fTEEaK+Hmw8txHSKl6pFS\\u002fXW1GYq\\u002fhxBIbAODE7BJBfkdZVIKcKgcIVPSCM36ngh2l2O2\\u002fu79+bf4z2+non9fDD5oLFi6Wuq1Im48c+leFxZ9mqBpC8N8ZmrYUiN7m6+G6C2BkV9x82DPZ9Zj7msIeCPkXy923tlTXvJsVmIopmVV2Ckuq4FTzgBEKfZ\\u002fQGwYvBnnbj2ixiFV5daQDqV5dnABQhomDyS4l9BIR2Vb0zyvorWb58f5Aim4+i0TxQ+4DZm82OXY8V0agCQDeAykRC67q6bN7+mXyvA7ZfumoZOXp7BLQhwoSkZ+OY1LX19uukBE0rUX1D\\u002f+57Fc1M2DxvVPj5OpAKgsAPu7PiyguZsp+PE7\\u002fU30sXRN30QsTXUJQAdYhMnAhpVeRU0wQ8COB\\u002fFfJ\\u002fSrybNPeQI\\u002fJYw9DQ4dM5duvy5YnGffsy+TaSLVVVyyOWhwwA8SaCM82os3Fmk7TyO9eR62\\u002fo68vOJ\\u002fU9FPST0Dxe5vm4QpG+isgE2K0rV13riHy9mJ3LRsRaFE6t9PmAKFQAMsbz2yP4GbYWqngM0MMgOqTQRyG0nwkK0scUIFU+n0mXiOI8EIojwGIX2mdLEy\\u002ffcN99SaCRCW12R0X1p0vY3DYi1tIkClRMRKG2iI1Jqb5pXf\\u002fu\\u002f2hFo2maJyGyZ9WAVIA7\\u002fKCNIGEDee6aZoDWoJ4PoFPz92B+PzWZGICytWLV6+LQTxvi0rSedr3xkBMTBOipX23WcYhgALAfqRfcqGAfNNH24SqQYMJRkdet7d99+711dZHVXV25O1euvCIq5h4CisU7zJlqWzZKxBmVnpzRZ97Q1zfcMk+s8GeFoGtel9STvCR\\u002fHAEAfr6s5vzFEZTW7+0ZCB7zreoWgO4sr3lnwvAnMqIQaKG6veYtEyP8Jjx3MqObRIhMWuwepIqetuHR8VV9e3n1t0uMecXpdns5xXnZYmYzbO2tGwd7vzJfDHMLXdCPyfLaUVHzdoKcK2r+N6LaU5od3lu3f3+KAL23ri5y6NDIZbC6DoxnEvRqVSyJEN+fg\\u002f7SkcztDUNDh9vLyuJq4p+KAm9K+x0NQ1W9kFBbRMaMir5t\\u002feDuzwWr+q7y6qcS4XcCikzlnimgESJY1YFMSv7qhr\\u002f0Pd4yD1b1BTtA85Ms\\u002fFrgb2aiWxwipEWgqjmADoPwZ1I8pMDVRKiJEEWiRMh6HTwRI4ICSFrZx6RfFKWGUmPWj4id9jLHIVNH\\u002fYKSGZE9rqNPv7Gv72jgGdlZXv2dYmNePiLi0tTKXNkSb1X\\u002f9PrB3re3NjaaprbC3qsvyEGar07tKK9+X5T4nyJMi5JefHjgsgYTwfF\\u002fu15hBCggqirw6n8TPGMRRYg4QYysCk63S0jI3KCAFDFzWvT1awd2f6O1tjba1N2du6u86noQ7xQvcWVKmhgBwooc2F3d0N9\\u002ff6FnuC24wdoOOE2A3VJVtXRHRc33i9h8yAKLRsW68L6vATwVzFXVtKqkRGxuPDiFicgh33pOIEMA51T1qHXdUMgLH0+TUxWV1yrAD3R3uwqgc7Dvbqvy+xjxk9bDezIE0LjhmIi5DQCuKPBFc8EM2GaAmwFuANwtFRXPSFjeUcr810kVK1Ah0ERVjTxBHhN+fwU\\u002fMQRQMAHM5PcImToKcFoUDnPdjrKqZ24GpK22NrIZEAP6uiHQVJdeAiitqkR40dbltVWNXu5NwY6NaSnHO9fkR6fdVVHzekP0bwwsHp76XixkHkIACeCWECeOMl4E4J6l3d0CAK7lO5Jk90eJl7lew4kzFU52VdxSNufZqPs3BHyotYAFvWBP7HTxo9Okvabm\\u002fJ3l1V+PEH\\u002fNKhb7KnYo5GcpBHBKBQp5wb11iDQAbjvgbHho9yMC+kXMy3SfkvpOIE6rAiqv3XbVhcWF7Gabt4KufvcQAuz28qp6yaGz2JjXpVXE4slL\\u002foYseNhVhQNadfBQzfUAUFpX5\\u002fnfCd9OishUouSCz8ipapxMhXN08YuBwq0LPy+FodVfxQnAzvKad0XI3BljrvXdJmEIakiAjTODBK8HgLquLgsAh+qe+ltR7HY81+kU49VVmEgt9NYtVVWxB4LEpAJjXgm6egEwpgmwnStXXtpRserHRcZ8XKDxlFdAIFTVQ8ZQgNOqagibdqyoriRA2uvrnaa2NgvVn8c99X1K6jaBTEpE48zPStjIdZsBKcS9esGd0Mlo9lZqbQLszsrqF6k4v4kyvTAp1gq8Pdlcn2NIYUEAWVUpYl5Cjm5QgJYeOMAAQKy7vMIT09IUUg0RW7W3AUBjAfrT54VwtHuF+aS9rCy+q7zmw0bpxyAsHxUrKPDKKyFzDuUUqkKNBGib51MnpcW\\u002fy6j2x4h4GtJNOa2qTLRuW3n1NQRooe3VC1rQA1W9AXC3Ll9ZJRS\\u002fo8jwey2gXoUQKujzDykIyFUlAM\\u002fYVVW1cjMgXXV1zvr+riMO+FdMFGTNTekzRESKmeMO6BXTcM7TTsEKSr6qvqO85gXxiNOeMLR2xGvHS6GqHnI6eOq72CJjSsU1NwJAPJUieI\\u002f\\u002fWFRpOgJdiIhSYiGkz28vKzsn6CU\\u002f5S8wTRSksLQCJk9V\\u002f2SE6ae+qm5Dg1th4u9z7cS\\u002fT\\u002fHa2cNvOkGKtQpwW3e3C0AjWfpdRuURh4im4Zw4C2icTJnLiecEnzzFY04bBSfo6qeV7qhc9ZQcxbYXGf5H1ys1pNPg9wyZRnzhEIVaB0RFzAZeGifFiY16DQ+sjte\\u002ftAqo8QTA+j9B6fYZE34FOCmiIF2zY9WqizYD0oxmXrO\\u002f5wkAv04QebtB71zsiX40KC\\u002fvn+uJzpcBYYKq2r8GgDY0hoJ+EogA2V626rVGtaPY8HUjItYvQlAwF+1sR70qMC4DFCXiEnaMqB5Jiv02EdYJ5DUW+GMxs5NgNuyViaIiZhMBkQCHE0ymiNnEiDhKxN6qqi5Uc\\u002fAnhEmfky+o6uUrjR3LrypCxYYXS9puBIBrqr4bIUBB2hVnNjHiaBEzJ5hN8FPk\\u002fySYTYKY4\\u002f65RoiI\\u002fclKVV3N62ZjVYkI1+64+OLzmtBWMOp7wajBClALQNdVVH0mQfTWLIDTqbsdMmuMrWIOESfYOKNi3YzqfS7kW0J85\\u002fqBB3uCF2+pqvqJcelqBr3WIfyNVU2lVL9lRb5P7BxMIldprLneAmuJ9AIFFpWyOdcQIaeKtAjsSVo7+RGR+X9TIHzGV9ONX2k2p4qMKCw0bYEME1cDQOKSSyz6+pCzpvWAupcDiJFiRFRyzMioRQ6MNJQMES5Q1aUEnA\\u002fgIoAWK3RJiTEOg5BVQUYVBGhWNRcDXZpJlDwDwNYO1Bvg+Mq2s01BzDZjhQGqqy9RF\\u002fdFiZdkvVj1s1rI81Y1r6ySeqPJ75N6wmsTlGDy\\u002fzktGpu\\u002fYlGcmAwBoyIPs+InYPxkbX\\u002fPXXmvYwBoAyg\\u002f7vuuyppnW+UD+RPBhOPTtpqaVSaDG5X0EiZUQWlNwvCiYICKP0iAoBPseBfYnKpV4C9QfRSEx6H0BBMOKMkTUH6CQI+R0mPiuAeK0umBa\\u002fftS03lety5YsWyCCUuE7JXMXEtKa4W6NMTzI4AiBFj2LqfWjfY+4+FkqdeIILuNZzfVVn94ij4hxnPHXI2C7n4obzwViivEYLJa0eUFoF6aiqgUPLaJZugmIYAyE4hd96bZNQC5CSIkYOCVO93FW1ZR750Y1\\u002ffAf+l1ApwI8YbMvrvpzaAHwDGOpEqwG0ANQIa\\u002fKbxopDH0Lly5aU5NS9R1RdCYRVYwkRpAoYE2AfVh5TNPuR0rzF8gKN2NHskntrw6H0pmoRgBZrkmvp6DoJpJtaPD2rHD5eU6JrOTpl4\\u002fN8sX544itglxuEbwWiMKP2VqxgtuujcZdfec08KJ6hJONsUiKB7ZZ92VFRvKyLekNKzt9hiUAopq6qAjkLpLwQZJNCgEgYVPMiQFxDoxXFmr1IOCC4UKRFRxTARugEkipiv9oshnvA++0HZOuExIkANyMTZq7muqr9xhf8tgtSWhqGhNDCevHE6GVvql84+1crWDPDFdXWmpqtEG06g6t6LushqHN+y6US0Aqayro4fO3KEgXFhPZRI6C1dXW7LNNR4u7euLjL8+OOm9Pzz7eoJraR2VNY8BxZPWZIt\\u002febq\\u002fV3Jkx1jNplzQQ9Um23l1ddEiP5bzlIBBwD1cqidUZEuFtyWleSfly9aNHLlCRoW7qyofiYUb2PwhZZ0AEp7WXDX8Cj+lH1id3JpWVmpcOxLCea\\u002fzqqOLev5N5xAY+rw2B7BV5GTYg8C9AsQfri2v2dbsIq1AqbxFG2RpwlqBmi8aksjmtBmmwG+Ao0EtI29sLKuLujb5uLMzokA6M6Vlz2drL0SIBUoMQAhtqyas6C0YR0hskdyOXPQRuWJG\\u002fv6jk48UCsaTWVdP08U\\u002fEJgzgW9vb7eaejsdHeU13yk2PB7plqOd76igFvCxklZ+XWOcy\\u002fZ2N\\u002f\\u002f2ITnqQ3gpfX1tKbz9Jr8tQJmSUXVx2Mwf52BuuSVpVdVpEHKBNynoHvgNUAogWoxEV1gFL0ZY\\u002f9j0x6v3XBwrFkQ8JMSaBrBdZi4VWgGeOPy5bGjWJRwErmEm6VSNu4lCrOcFRerYiUD5QnmJSnYb63r7\\u002ftM0FZpS1VVLGq580Inck1KZWxSDNo15xTIqADQUQBHFTgK0BMA9oLwRwf4dRRuz7Pz7tm9dXWRCW2i5pQ5F\\u002fTgYu+sqPlZCZubh63rEh1X9mmh45YwOyMiHckIGm\\u002fu6Xncz9ILBslxwtXsq8MEyJfr6iI1JSXa0dkpLRirhz5WBbe9rCx+YOiZucl2FfGFW6d7sAZqf6N\\u002ffi3+4y0n+J551nV01Neb\\u002fN5srYA5p3zVOiZ7I0A1UJynhKUEWuoQFXvbGk9zCcz0ESIcsfbhQwNOZRO6swpQSzPoum\\u002fWbCtiqh9VtVA1Yx\\u002fvZbAzAczwCokaeLYTIPADKjKijxqiX1mVX0fY3rmmv7\\u002fXP2+aq8kxnzkV9OAi3L1ixZI0R\\u002f87xubyzNlXfNEWMZu0lV9QkfO3Dd3dI5NpCnCqgRT4cPOfz\\u002ffrtniGKOT9+5jf0y3g02WB3rli5dPJMc8T1SYG1ZawYRcK0bG+6fA7ssCf9IJroASQqArIvXL9wECPXyE2u72i5suL2NxysoVGT3y84HqSQ0RxvzR4WuQQAb\\u002fNWnx0496e\\u002fy4EYZ\\u002fTlbPNE2ibQXQZEZXlNLiWZwdje3JXvnnQJt\\u002fU1L0v1ZzXcOJ0ONUAyntuzOo74fW6+QTvO9FjUyV\\u002f8movq3qjEFkL7WEiAZBxFZmYUsZVzZIgY4ooEyHKjB6OSWnkoKSc4hUCbTKEBgGuLyY2WShyqjjqCScFQud\\u002fz2AcUf6AEkANsxE1VwEYc\\u002fcxcF9WBZ47\\u002fnhOdrzgb1dVR1TEs3vQkhjRjQa6dkdF9U000LszcCFP\\u002fUqeGQWhIrPDy+LERckpNsGbZ9gSZicl8q11Qz2vAaZvxTsBc7maBC2M7fZLV11sjH42ZvglWVXIeKcbMVC1pEJEqgZqcxALUS5K55JalAV0cZHhGAFIimDYGyukXj6JA5zeCkGAxEEmCboKwI+Cx1n13qzv1jxDix7BH7tWVUdU3RLmWFbwFgA7W87gmNNJQQi6qF4+Ng+fBWiwJ7fygyXnlb5BBzxfbiEEVkwnwcRFAHZUVN0EyOcSbMpHvWpAoPEYGEP+OnnsCCCQ3wtHVZES8eIGQBwsCJMdMaqqzAQCXQ4Ajd1XWKAb6aP658hiOmqIznFVpxRyTd6qb3JeVM\\u002flvuo+p\\u002fd2TvfCgTFGFbV+1MR8kHQvljr4Uc0FP8j78Z4\\u002fLgnCKjRXysYZsfKjQ0XOqwNXzEIV8p8vW1a0s6L6W1Eyv4gSl496Yc0Mf+zp+I9XT3XCj6uqrqr6e27jN9Q483FCxDkoVFD+82XLisg3UI4c7BsFsGe61En1NBkC4bydlZWXBo9N0+EnzVyv6L6WRFdOrfDuzBMYY4qYjcFYsAmM39LXf80YrnrhXOJHshEAh8gkiM0R6\\u002f54yWDp365HV26u925ThNpRb1APrOnsFOSF324G5J6qqkVJl79TxOb5o17JL6KTu05PKATTLRkE+K23pDwRKbkIQH9gP9hJ2G2I6sir9z5lmbeqUMViQ041gL2BTWqqxz0T5kzQA0vkr1etKk1ltdKO2YoKD4XaCLGJgJASbVXVH4sqMZEyEBWov\\u002fHgBKmyMnIKvYKAywFcoErLiXQkJ\\u002fSHlMr\\u002fps4v\\u002fexzB7pyhaDSnSnB\\u002fWtAp4vOYx7nXyxbFi+NLrpg2MXXSg2tHRbrEuAUyM1lV1XixpyfZF0GoB+1tQbd3VaAnggISa8\\u002f+5Q+hAASQIqMcVLWVgHYtbS+ntDZ+aTvnQnmckUnAJrL6VOhunTO03tOgL+KazEbk7XyaJrwnnUDu78xmWO018OJ7VkeORyPy419vRkAwFDh+FfPBL\\u002fctgWAnZU1N8BSGUhXKKF8J1CWAMqs6vlRpthwAVbnJUAdEMiiBsB\\u002fl\\u002fix7WSlVx0zbasNqdooESeZqgFgzQUXzNn9nrMb0IF6BjpFRCtjzNGpJGDMBApIxM89zor+1DryjrV9fXsUoI76+idV6zo6O2UzIA2dcIF9xwR5zGWE2VQJ1NwdlZWLDSKfj4JeEYsQrO\\u002fDDnzZXkRZYd3TfLwNv64EgAsWLxYAIKaHAj+6YBpqIBBxzks4LAcA8lorj7k6Z5M5E\\u002fSeuhFCFyDA4ojXj3wqfbDOhCDgYSyYwvf2gAgaJ464qg+lVD+4bqDna4BXjZYAF52Tzi8e28YXctueUxGEnjYBdufKlU+PiPO1KPPTRsXalKviBZ8RwTdC+V+4UIWcFIAAKwHgFyUlCgAuy35j+QmH6EKZHqMRWVVAaMXPly0runn\\u002f\\u002fmRg25lt5kzQ6\\u002fzfRFjkkO8\\u002fmeK+6DQQfxAGP2CvUAE5RH4aKBAlwmE3d2dGMq+\\u002fYe\\u002fe\\u002fUEgBnmlkc6Eebl6A55QdKDekJdRZreXV\\u002f8dBJ8yhJIRcS2BDNGxsQ8Fshc\\u002fJeKttFUAcEVnpwKAED1mCIcNcGFu3N56xihAXqaNlhfF46UA5iyTbc4Evb+rSwBAQBf6vqeZFnONErFXa0ghqi4RZUX0CQX2Z1l7odRNCh4hiVpOfP6Gwd7HxlbxeSysZwi1eh4BC3S6v1m+PJGOFH0iQvTWHIC06rwNbiL4FlDCRQNlZfGKoaF0M8A39vUd3VFRc5iJvNSfqX8OWa9TzPlqTAmAR1vOMtWd\\u002fG4WRMByd4Y9jATYCJHJiH4e0P9lxeMRYx866jj7SzOZkQNDQ7kTqdQ6tVW8YMmbVI8bcApwV12dWd3VlWsC7LbKygtITdMo9BUlzNeMigRa0bwUcmBcdQe0qC8avRhA\\u002f\\u002fPr6szmri6B4vHpHIoKwCGijDoXANgzjYeeFHMi6MG++DfL\\u002fyqR1CeWWy8Qcrr2c5IX4K2qKsXGREZFvrV+sOetpzgnasvbU85ng9mTkR8DH\\u002fzRMh4jLujqknvr6iKHD428HKrvX8SmMq2CEc+CzvNBNX8y\\u002fD14DOoszn+cCI9P5033rzUZcS8GvIShmcgleDLm1O3hxh8vUcuXutPgQ1dfMB0iw2MHI8QNmSOu3ZnMDL+pGeA13o+0wEuLDFY2\\u002f4bMS0PZaULw01e3rrjsolzuyJGb9+9P5l10Bbz6bkZp\\u002feGDR6+Ls3muBXDEs0RzoVrQzwQvGo+i7KIUAPq9pg6A6hNBlOa0udlAEDjLAK+e3jQddlLMiaC3BD70DBaxgwv9mriTvgDe1l4tgZw4ERsijFp5lIBhEHIOIXtUZJ9m+dW+xZPzVfG5mFnnAgWoBTAtgN1RXv35EtLGDJemdlSU5gA9QkoHQfoEQI+K6OvPcZzipBBSQUz6AqwP4GuVEaHcomMfp8PTqccFFj1VWTZ9R508cyXonpCZyCUREsqcQRKBAuKAOM7spFSRUfmNqn6dHXRK0jk8mtHs4isvSq31XWHzOQptqnR4nW\\u002fca8urX11qzJszqoj4obsUJI7Au0AZETzh5nL+Cj5v9+Gngrwti0aIKAsqBYDa4EnFiE6jpBOgTIASLpm2g54BczpTW3VLImegDapfQNFVOTQi9DMH+t21A713HSfInbuDSiz5JZDPKpoBpwFwd1ZUrY+APp9RFddzLY0RDGxSv2QcUWRuznb28KPjyApKgPHKr0w6AtC069ekei4ANKIR+TXvZos5FXTHoYhvcD9tn6UCNkFsMir9ytK4fs+e3wfPtaLRNKItSIgCvIPK2aKiT8SPYnO3lVdfA1CrEpWcKAWTTvL3Qkah4hA4Rd6KPgbr6EJcEebUuKIWsUm9HrBxZuNC9qZEb1q3Z8\\u002fv7wUi6n+PJrRZ8o1ydBav4sB4qOqd5atWRYn+K0p8jh+SerbI8qlRqEMEVRwj6EQ8OlenNJPMraATopMYdTZGZHIq+5MsL7xpqPfPrYBZDeTO1r33yQiEfOvKlZfGoD93iC9JqxRs3PlcEEStMKEY8Gq\\u002fA4CrGJlHtRFOmzlR3fNcDKe1ogsgcSKj0L+4oJtv7Ov7g+ZlUIWM43sW7JaqqqURyz+OMdckVSwvUMPa6aAYq4ybX9TRqsIocA4ApBMJ73HXVXUigauVg5DpuTr36WJO9+gkiD7Z8FNAYkQsisfT1r5k094997aGQn5CfDca2svK4tblbxQZXj0i4hZamugsYgHAAMb4VR85KBSiMMaLqDqmH5yyeYIBKmZ2guIhLsQ9Vb+7+cDcWt2BGOD1EzvRlBmkigr0iBVq2rR3z2\\u002fClfzEBJF9mwF7PUU\\u002fX2L4phGxLmHh+cBPhr9yByG67PdrR1LsqBUcAnRQif7A0B4GHzqckSHXHfk9ANR1dbkKEAZ7\\u002f7SjfOUmJvM8Ba5n1coS45SKKlIq0LEw+cltg\\u002fxK0HPGnA4CYyhyMp0oEHJSHM2oNG0c6mvPSzAJOZaxFNIdZdUtRey8fkSsi7NEyIPAKQNyYswGCqRUJC263YX8ktn8xnFT3UHfuBORZ7hVDO7ZBmAbAOysqLlq1NpNgG4E0XOLiNlCkfU6uPLpqvVKfBSYC8eax5wOBBGJgY\\u002fXhhQQh4hFNZmFvHzTYN\\u002f2dt8fPAenWfA0j7vRbo0xNyfVur7mM+\\u002fJi3704nuOXUmteinGHCd2kiKjKZEuKH7pKn7+26HdPZtP0OG1sq6O46kU7c1m6Ya+vuOMuffW1UX8zqmWBnruA3BfO\\u002fCpTHn1FSmVlxHQWGS4KqsK9zQEXgGQ6kHvX3Mj6nO7RydEJz4mXsQSkyKTgbxq00DfHa2ACYX8xAS+8h0rqp\\u002fnEH3OVRXxhHzey7mvilMJG0cA5NSrWqNQJRBi5BXqTIp9YoTwbSX+7ob+3ffmH6O1tja6dOlSWdN5gbbBc8Giq+uUW7+gMq8CdG9dXaQ\\u002flaKG7u4sBnv\\u002fCOCPv1le+8mUuq9Wxv8rYl6eFFE\\u002f1+I4dV4BUgWs6OFpuzBnwJwKuk4wxqlfy4tVsxnR124a6vuvcCU\\u002fOWNutIrqZzpE3yJQxC4QX7k\\u002f4ZNVtcNif0mgRQotjxGXR4lhAWRV\\u002f5BR+dGI5f984UO7HwE8r0MbQJV1ddzf1SVNEzrR3lNVtWjUpQpX6WJVOdeJUce63t6HNa+G37bKy65kRZYGHuxBXmfU1tra6NLupXLtvs6DAP79ZxUV3yOJvptBtxkCZ1VPaPhUAIb44IxesCdhbld01iLyHZoKCPtbpZzorRuGer8fruTj+BZ1usLL5dcOgBsAt71sVbmS\\u002fMAQn5uR+e0rDzIQFQoDYlW1Svr69f2932wFTOmKyy5QcstypCuUOTcS4Z0v3N077L+Xu+rqTFtXlzQBY6v2josvOw9xuRyq15HSs5NWqxR0kcNYfFEkhkeyuY8CeG9bbW0E3d3ZbStX1kVVdlhFbkdFzQBUduVy\\u002fMP\\u002febjn\\u002fmDSaK+vdwCgobPzUQBv31W+qt2Ffr6I+VK\\u002fG\\u002fCYKu+nxEEhh4HxXgazzRzv0dEt\\u002fpVgIjYKyqrcsmGo9z9D67pXe60D9Yx6gLzknPxBIluX155rOddWRKbCb4ww79w\\u002fCihUhYgQIzIOkZcrTkBS8ZYN\\u002fT3fHNPq9j64H8B+APcE72+vr3cOdHZ6arm\\u002f+raj3pHyv9wokOeD7PoYuIyJwew5z3NQiGp21AoDekw+OgtdFmNekmFFlOgCKF+Tisq76ytWbd8FtLGkv9fQ2ZkGPI1qKUANg7t\\u002ffseK6vsB+\\u002fkSNjfkFecIviOI6Zg22LPNnAj6WIcWivzBwutHHQEoqfK2TYO9X\\u002fWt62etkAcquadKdkpQN\\u002f1nFRUXFiNyIYBnkuo5Qu7z42RWJ+exkEeIKM5sLIC0SH9GdA+U\\u002fmDhtm8a2rO1FTBrfKNbi6\\u002fRBO+f2Ct+e2VldYQiL8jJ\\u002ftc6QG0pO0irIKOqgKqftDNm1FPAgV\\u002fvrtIPmAHxIldVrapNqQaFLjnGtEkVm9Ice8f2ylX\\u002fejhuvtvU3Z1tBUw74DTs7e1vBm5qqFjVEiF6v28rIQAkACz4IWC8U+1sM2dpqgDgGIxAoREikxb5p02DvZ87m9X15vGe57YRMG8pv2xtVuVKYlwGRQUUZUpaUczGAbyOI2mVaekqMtt49hiQq9o\\u002fqrpDRTuiEd11fV\\u002ffgbyX0YQSXwp41+kKgIJe6R2Vq56SE7mNlV4cJ1piCMiqYti6LmishVOeKu0di71t4ygAPHbkCANelhkTk3pPj1XT8fq+gWJElzPoG5TKvX5XefV71g72\\u002foq8c3I2A+7mgd0f2FFW85cI4wvwfPqcU02anByakQt5msyt6p5zU0URh4Zd970bhno\\u002f2Qw487Uc8lTwVxkmwG4GsGvFqmvZyPuE9IY4CJ7xyWsR7Crg7wOB491N8wIFJE7MabH3ge316\\u002fr7jwTPtfqTVqMf\\u002fDLxvc15HWe3lVdfEyG6NSfyimJjIhlVjPhdVoHxLqsnOQevSCTpKAAkcjkvYE5pyUlMmYYAvyy5ahGbZ6dEdu2srPmwuXTZRxo6O912X54ahnq+uK28qqTYOJ\\u002fIiapVeTjG8STgVTWai2zKuVrRdTMA60ruCNm3bxrq\\u002fXRe\\u002f+yzJuMs8Ov62xS7vfLyaoZ9N6u+IsommhKBBSStrgBBk855X5hRve+rQsQfWtffe0RR73QA6ECnnGqiH8vIW7ny6REx72DCCxPEiaQIkt6Ky6ddmZZAVgGoHpOtRoTzyatMcbJxyIA32TLgJIhb0nv3X\\u002fuLysq3NPT392qgyg\\u002f2\\u002fcuOiqql55roOw7m5JH9JXZOs+LmRNCDPdWmR\\u002fY8BODTOF5Fm7c0+wOh5dgJi1pwbI26vHh9e+eKFcscE7uNxb6xyPDipAqS4xZ0pukrnDmn+OGj9hxjIoes\\u002ffOSc0t\\u002fpgPNDGy2DSef4EkB+oon5Llt5dWvjgt9NcIcSYlgRG1QdnqSAULEFgomHjnmHFUvOJ2LTYARQEdFbDHzBpbIrh0rL3sZ7Xnwt+2AowA\\u002fkIi+9y\\u002fJ3EYQsk3d3dm5zIib8wHk55IviFVc4fU43zwhJ57yHoP\\u002fXZsA27q0tmRHRc3bHRO7t4TNu4iweETE+u2A5vzenCHW73TsqqoLb\\u002fW2AJAg5gRxZNjabqh+YnVXV64Nm4\\u002frQacAtQLGnzSVALkVyO2qWNUYIfqGJYr43Vn1DGvLKwDKqoLIi1g7UFzsxbATzjndweirWM6oWJcJl7LIlm0Vq57fALhddXXmyu7urLH0Zma6C\\u002fBqJU78rrPFvA+sKBT8MEjZXrlqtbVuJErOQaXs4Zy1HKH41Ux6kDQ7BODwgeJiOW809xJmekeU+el+xJeLeRzRpv4ALmYm45diUgCun7CU9qLHOlT0KzZ99BcbH310VE8w8Cc+9vO6uqLE4eHrSbQKipYI83lT7dOngDJAouqS4Q3r9uxuD\\u002fzwh5842hVn85TUJPP3x3MzJJu0ePENe3t\\u002fmbcdnXPOiqSHmSZQw3eUV99iVL9AbEhULBCxERMBAQkLEqZYRoAnlqRyI8bwZQ4osObyiSKqCpnxTDFVKDTKHFEAI2J\\u002fZhQHlKhYFRGGXqRMjzpiv7BmaE8HxvPBT9gXngDdUlUVM1l+dsTRm+Tg0RcacAUTIeclk0yLtmOIoNCjxsWA\\u002f7ny80eGz03EUCRnsOgSwFlViRFHE45+7e7q6mdf19vb34pG04S2ORf2eTW4ChHfU+Burah6SQT0BfH7gJPn1gHgjWb2BnYiQrScQMiqqgsVzLPkkyBN0yHiqF9D3yHCUdceAMu7Ngz03Z7\\u002f+vb6eqchrymlotEAbTJRyIP9669XPOWcjE1vJ4PVReQgDYGfFx509pny5SJ\\u002fRVfg6IGh3Q8Fk05plEosacK3fE4a9oTdFjFfNOrar7YDG9egLTjcnG5P5+s+cE4I9o4KsKLRbKmqim32EkrWJcD\\u002fKV67XfFfq+L\\u002f+P+GAJpT1ex4gcb5Zj3XODEXMbMr+mhKZPuo2G8fEfsxNvbatf19tyvA99bVRdpR77QCpqGz01VPqDw\\u002ftVfX77hB73sfNGXSb19inNUK2GHrurnxHmjjfTmmAe9gNNQE2I76eu\\u002fcTK4UiuKptF0jwKREbAmb5+YqV72SAGlF45zLWbiinwaB79YfoL4a1gb0wW4vq\\u002forw\\u002fx9JZSIqsW48J5oUM58v9gZQgE1AGVFfi9M3yTK\\u002ffDgwMDj+XvQMXXcb6DpPxZ855PW9WsG+AFA766sXZGD+4ZhP05gBhtHKBFBRfoAoHRkhADAus5SNii1x5735A\\u002fuBQKJEfnnnRUVW9YOtD12InvEbBIK+ikI\\u002fNzBYN5WedUFMc1ck4ZVBpWT4qkg3OQQzs94BqL5tkKfLl59ANG9e3XZs1\\u002fb3zlWwEEB6qivNx2dncep48AxBR1OyhW+e\\u002fU6yb2rxDjLhsXOSkgvK\\u002fUB41FxILmomCN81GtBdcayQQBnVO0iY6qPqN5IwO1+INCc7dVDQT8JeTO63VFRdVNUnVuymn66El0SUUaECDFmpFSQVlVewNsgVbVxZoySbn3tYGe6HXDW+IOWAEXeHnzSx\\u002faus91WXn0NM702KeKbNGYOhSd1LnuCPuJXgFXy+qVPBwSlLFQh+sh0HXMqLNjBORV8K7oqgLsqa94VIdMWMXi+Q3SJVS9kKqsqR63ruqp+eu2CRBSwhigSATNEtwIg1NcjiBGYysFbAdMG8JaqqhiTfiYCSljPHTeT11MBcEpEFbIXANDd7a20ZK5woSCa2g7Lc7Uxp0T2xh36PQA8EBrjCgf1K4o0AXZndfUluyqqf5Ig\\u002frhVjY+Kte6xVhr21buFeA1FoW6EiIuYDQEHn5DsJ7MR3aIAGqawggcEPuYmwEZdvq2InWvSU\\u002fSPnw4KIAIiF\\u002fhLRHOPAl7wkhenLle53i2e4kSjEiMGK917fV\\u002ffAW1uHovPnytC1d1nLCS1qyu3s6L6Onbpq3HmVaOTjaGe31gFOEbEETKcEhmwqt\\u002fJsv3qpj17HpqOD2ge74Vn7ygru6jExD8A1VvSs1Q0gzx7g3FV97Lqo8Hj7rLai0ndCoupCzqBOKcCgO4GgI7NHYxQ0OcWBajDT439ycUrL10cd\\u002f4Zqq+KEBWP+jXRF6peHqCeRwEJZmNVkRP9U5bsl4Hoj9YN3P+o\\u002f5opWY3zDZubAeyqXPW3rPqhGFHl6BTcWZM+D1WNMCFldW\\u002fD0FC6tbY22tTdnUXMfRozxUSDPg9nDgGcFrE5iewAgDXoDANm5pIgSKMBcLdVV18fdekrJcyrjloLX41c6NfHAkCc2AgUaZFOqH5jr2ZbXzs4NFZFpXHctXhG5EXB2a0rV1bFhD9sgJcpEUZmuWgGEZGXzEJe44ajRw0AEHB1DISUH8Q0hY8Qh4hzwP0j13Tvxt7CMOAs9IF8UvK7vWwvq\\u002fmHqKWPMVH8kOu6flTbQtx754WughPsVVEdtXKvKt5\\u002f6Jk9O5ravGvSikbzANp0KrHa+Wm4zYBTX7nqzaT6njjzhSMiCu9cZntLxFlVWNUHAKDywgtd7NsHZVxpiKCiOhVbnHr7c7Zqtze1weZNcnPKWSno7X4NsjtWPGVJ3GQ+nSB+VVoFOajwzAVpzDm+is5FzCaripxIZ1r1+yMx\\u002ft4Ld+8exlC+kWxq8dl5qr69a+Vldary8RjRupwiKA5hMPuLnTJAOZERtvgV4JV2vqeqatGwq6tyZuoWdyg4q4AI\\u002fwYAOurrGZ2doaDPNv4AdLdU1FwVR+brcebV40ULFuYqDnjht0XEnFGRlJVdQvLZXyei2zf7lU3zVPQp7ycDIW9durTk\\u002fJIl71Kxb4+zKU55EW80V4ZNBTRKTCnYu9ft6304WG1HM3opR7gq42XY8RQkXaLMnFa7H8K\\u002fA4COAhBy4CwT9LFU0vKapijwRYf5vLPE4KYxIsqp\\u002fBbKLWsHH9wePNFeX+\\u002f4BRanxWAU5JDvKi8vA0e+U0z8nBER+EI+t54LVYka4ozLdwHAnVVVEfT1ZWyEVy0iTozolO0FGiGCC+pa+9DuR5rRzJuxuSAEfcGuYBNp9oV8V1nNuxNMP1Si89KeIWhBT3YKqAMiV+T9HQM9z1k7+OD2Zr8CivoFFqczBntNfT0ToILIzedx5DnD1mZkPBhtLlEiMkmxVkj+DxiLiCMWWj0d0qgAiQIK+iUAugKbC2b9WNCDPMBXJWXbVVcVy9H02y0AV3VelkieDOr1laeMyL3rBns\\u002fAkCbg2qlM\\u002fSZDZ2dVgHaSfSsUbUCIqdAimlohIizKo9ErXkAQBARpwCe4Qno1JKOGOCMSIYc2QFA5zoaLp+zY0Vv9NIEnaPpF0eZLsgt7AQUAGPWdfUKztGHAa9O3eaZLaVNCqCjvt6Q4tk5AWvhjDGNEIFAA\\u002fV7H9zv1xGw7VVVy5VQ5045UMbLBxDCPX2LF++FV1YsFPRZhFra2rQd9Y4Ar4x4PaAKYt80kxAgCWaTcu1nOwd7fqF5WXgzRbNvhMvsfbjBMC13MZZ3P+f4OfFQ6G8B4JqqKgMArksvLmJe4mt4Uw2UAQQ\\u002fu7WrK6fe4hIK+mzR6uWSq1ux\\u002f2lRouuTImdaUHDeoIBEiUxK7IM2XfSezVMMeDkdgpz9ndXVl0SUv06eDaBgBjoAsqpQNXcCwP\\u002f09eW0sdEQ0UZSwhTPVRxiMyr2L6kYvg0AaGsrqMVkwQu63\\u002f5JifQ1UaYYvOCFglhlZoig8qxVpXdvfPS+0VY0Gsyw0AWtksji+hLHXJrzLNgFMb4U0IhXNGNvRGN\\u002fBIDNgHT8+o9LVHV1xotnOePJX6EaJwIE37y5p+dx3\\u002fBbSJNcYdyImSIwwrWXlV2kQi\\u002fNeCmmC\\u002fo7A5BiZpMW+cmvB3t+4QXAzHxxwsDwpIJ1OfX6lxcO3v5ZgV+tGfrjEX\\u002fig1tkq6PMF7g6pS2GOMScFDnoWPma+jX8C40FPeg7UO\\u002fdUIo2FjNfkPMypAppBE4rCogDaEr0ccfIP28GZLba9G4GpLW2NgrgOlElFNJ1VrDrzfC\\u002fIkBLqv7gAABbfo7xTnMK10g1TkSu6g8a9u3pa0NjQYS8TmTBCroC1IBOu6WqKkbAK70SolRQ6tR0EewvDYEXG+NY1c827NnT1456ZzYGXaAlnZ\\u002fMPQ1El7qe5lQQgq6ARpg5qfYQ5\\u002fROAEhccokFAAEa\\u002fLKyZzoulEA8am0yR+5nAOABtBXkGFuwgg7fyhrL8rMd5mekVAohaGNGMCAiQETw0ONZ+2\\u002fWdb6gAM1WemRQRdUSPbuYOW6nwYI9XZDXWEEN0NnwcN++1sZG09DZ6e6orFwBwtNyUyg0oapSxExC9J3nDQz0BAbJ6f0G08OCFfQWeDO1NXpLlAiFqE5NAxIlglX9k0LX2EVHLl+\\u002ft+cdm\\u002fZ1H5yOUk+nyxovSIZJ9VoAABWOIcq305Ao\\u002fUABqn3gAQOAVJz6YjIXuV7l3knLgQJqiDgpkrSu\\u002fSxwbO\\u002f2QmNBCLrvI6Vmz6XD99bVRa4AqH3lyioD2pDxqgksiO86ATUgZdC31w303r3xvkdH\\u002fWswawMuSGDpqKk5VwnPTnt1GwpFc5IIEafEPqKW7iZAu\\u002f1oOIK+eCqzkQKaYCar+p83PLTnAUVhNwqdt4NfAfpyXV3ET1RRAtT3F8vqrq5cE2Bd4cYS5iUudEEa4RTgHJSUpFMB9iPfZtxnnk+Lf11zLp4aI75oihbsacXLDScI6JcbHtr9SLsfDbd15cpLQVif0TNzq3nuOqKUyBMGzr8Uij3iVMzLWPexZP6urtytAL5cVxepefzxYkQiJZkcl8QMlVi1SxS4KVNAA2+aES92W\\u002fuJ7G6\\u002fmMSsf88WL9QTUGxkIvWL5xbE9SaQMyqiYHs7AByorWV0dyOqzouihOK06hmVliZViRs2w1a\\u002fsmHwz0OF0l\\u002ftVMw7QQ8qw9xZvmpVBPouJT2Pnjh6rqXoObC02JCeA0VpCTtIqSKjM14+eE5QVYmzYSvuXWsH+o8E2Xmzeg7edRUFaBfwHCIQacHYQmyc2aSs\\u002fHrdnj33KEAt3d1ua21t1I66L2bDUJxR1VlxmHlY7BOw\\u002fHkAVKiW9nzmleoe7IO2rlh5bYJ12zmOeW0Jm5sTxjwnxnylQ3SpISp1AR0W6\\u002fpq5EJFmaAgHAS89NDZPoEWf3++s+KyaoVelp2WUsnThKpnrFD9BgHaVlsbaQH03JHMlRHGs5Jn6IVRQOPERMAXNjy0+5FmT6MplMntpMwbQQ\\u002f24tvLV94cd5wtDCo75Lq5EWvdlIhNq4qrKtbbr4NQMOmR044Cyl6QBqnqE8DcVDJpaWwkAGCVa4rJLLEqZ2TBnm7Uq\\u002fRiRsXutcZuAQB0d1sCVI35mxhzFJ4tY7LjQ6JElBT7COXwlfmwNw+Y85tyugS+WgY3lbJZnBbJEVHEb6IQFHNk\\u002f+bNmxswWdSreyYxImdE3A+vG+z7F52jVaWtrQ1+d9nLDRH8JjZzDgHqeBXrfrKxv\\u002f8xra93mgD7q6qqpVC8MiNyRqHQCtUoEedEv7ZuX+\\u002fDbQXsN5\\u002fIvNmjr+n0gz9EP3rYuhuizOe7Z2hMma8EQl7ExoxY9+MbBvver3O2N29koE0JkF2w9+SUp15YcZpQgNPW5mDs1wHgK3631KyltxYbvnD0DEpMexmBzKMi\\u002fTnNfDqwT8zA6c8I80ZIyDPn8rq9fd0g+Qf294cFlgo5Y\\u002fhCrhEic9Taj64f7P3nYDszi+dAQV86QpvtAHhHec3LiMy7MgUSeaiqtpiZLLD1UH9\\u002fd2tjo7m1qyu3o7J2BZTelhYBJjnug2vvaYvyrpv27j3UNsvXfqrMmxUd8K5yK2DW9vd9b0dF1fWl7Nw6XAhFB2eYoFpMnJlT1m3eONj3wUbvOwtmcbD5A9veU1W1aNTipVbpzTGmOiaCL0BzDhFxRkRA+GwTYO9\\u002f4IEoAAtxbykyvHhERM6g860UMZsjIt\\u002fcNND3I3+CLWh32kQKQtWaDH4aIN1QVVUyarkzSnT1bDTnmyu81YQQJVBS7Ac2DvZ9aDq6p0yGIIZ7a1nNZQ7pLQA2FBlzhVVF2vNsTLW7ybSgnkBy0tpd6wZ717cB3AhIR03NeW5OfxcjLvfjKk57rPhFPNgV7cs4cu0NfX2PA1NKhJkT5p1wEKBXoJH+qq\\u002fvKDG\\u002fwVVN+iNsXl3408G3rsNAJaP6lo2DfR9q9ktCzeZAC1x3htC4xHHeHmG+Iul7Onzj55wLOTz1Gq5ohgibCdDa2lpDgCJDNxWTqchMvpGjGr+Ih6t42419fQf8NNR5N9bmnaADQBParALmuXse7HIVH08ws84jw8jpoIAwvBuUhrx63UDPF9oBp2UOBtmBzgsUAJjoKa6qzYlkMe7pKAgUKglmzkJa1w303t0KmCu6u3PtgOOSvsl6UfmT0mDVN3ymVD63cajnztkq4jETFMyNmiwt8KqaFrvJT45Ye2+CyCh0Xt6Eiagf3mq8euy3bRro+26r3\\u002fF1tlcTT4NoszsqKxerymVZVaMF1rbKyyRjTooMsxvdDACH6uqYAHUrVr0szvzM1KRVdrVFzGZY3K4Lk4n3NQNcSOWbJ8u8FfTNgLQBuHbfvpSj+tasatZMrSx3QaCej5yheDwLNK0f7P2cn4wxJxpLkHrpIHopEVVnp6Gt8AygCSIS6KfXPvTAnnbAuaWry9124VXFqvIeeNVoT1tIFdAo2KRFDrDyy69+9L5RwBtzM\\u002fcVZpZ5K+gA0AbYVsA0DPXdY1U+WcTMCp3JuuUzigAaJWIr+ljaui\\u002fYMLC7LVjJMUerSVCKykJekmCO65lFlM0kEiWiUbFD6Qh9VgHqQR0RoE5x+lUlxtSmJ7GaB640AUQgr1s7uHt3kBU4019kJpnXgg4Ajb7LbUlm8UdGxHYUsXF0nrk+fCQKiEIPZaGNm\\u002fbu+Y36aZVzeVKeS7PRqKDRLaRYdh8BECEiVXzq5p6exzvq680t6HLvXrFiiSrekROd7ARpi5nZJfmX9QN9d6jfXXYmzn02mfeCTvBa36ze35W0EXpdRvTh6DzcryugUWaTEfn4xsHeX91bVxehme2qcjrnxACwuPz\\u002fVhNhZSHVgvOxCS9a7YHRGN\\u002fe7J8vAZrk6DuKmSuzOH1LuwK2iMgZEenYZ7Ob\\u002fWqx83olD5j3gg74FUgBs7GnZ8CyvkFVcw6IZP4YT2yc2Ixa22UdfKYZ4NVdXbm5PqkO+G410MYSrxacWyhquwJKqhCoKvEHXrh79\\u002fDz6+pMQ2enu3PFZU+PEd+WFFGATlfIJUZkMqp\\u002fybryhtcODaUf8EJ858sYOiULQtABoAmwCpj1e3q2plX\\u002fnonIzIMQWX9PCFXNkso\\u002f3djXl7kCjYUgTNQwVlxSr\\u002fKV9kI4rwApMsakVdo29D\\u002f4YwVMf1eXtC5fnlDj\\u002fnuEufh07QnqhRZDgdEc4eU3PtS3ZyHsy\\u002fNZMIIOjIfIbhrs\\u002fWpG5J1RImavMEIhC7skmE0W+p\\u002frhva0F4qv1r9g2lpbGwXpUusZ2wtF0CVCRCmRv8DSuxWgrro6bgLskmj8NcXsXJ8U6+I0AnnUC4oRAjiruHVjf89drQtkX57PghJ0ANrkW+I3DPZ+MqX2w3FmA8Aq1C00gVdAIiAzYuVhIPcBAFRovtolhw+XqnK5bywoFEFXB2Cr+u6Ne3sGOlBvVnd15byOPNycFcXpFKgcyyEgNhmV960f2P3dhSjkwMITdACeJV4Bs2Gg7\\u002f1Ja790DhunhI0T8SOjfEPdjN5Mv3ia+hF7VqFWVV1\\u002fwpG8bDQA+p51AwOPtqKxYPKbW3yh5qKic5hwsVsgJbk8gxmbpMiP1g\\u002f2flMBRr33nEux5lLDF+bw5HXlfSGXImYeFvm3DQO9H1E\\u002fh2A2vsdssyAFnfybCAD9g4tuO6ruS5JiP51TGWIQStiYOJHxV3j7JCv9pAIt4E0glgByiChKxHFiU8LGLDKOU8rGSTCzQ0RxZpMU+eW6wd7vBBFoU\\u002fvm00eL\\u002f9vkzIookVMI2pB4EyNnII9EHH07AHT5BrhdK1ZdG2N6TUqevMpNXjagGRX7LxsHe97R7GekLRTj20TmfIaeTX6+bFlRSWzRdUL6PFI8h5meFiNCVhU5VSGoTlD5bFDYQVWViILw82MIVocIkYl4zSIwIqKkelBBhwl6EIRDAA6p0gEi\\u002fQtAfyGlAxzV3zT09Dyufn79bF2LJ4FaAX4Azfqciu\\u002f9IMGmMV0Y6cA2RmzScF++vr\\u002fve+2Aswaw26+6qsgMpzriZFan9NTuND+sT+LEnBL56PrBnvf6bsQFY2E\\u002fEQUVszwTKEAd9fWmo7NTbt6\\u002fPwns3wZgW\\u002fvS2hK31L3adfUVYH1Bgs1FDCDp5VVbABQnNi4UESLjgJBSgeuFgAY\\u002fUIAiRBwlMqNWHs6RfBHA3WRl1BUcdSIynEynh73PPjmFNMha0chNaLO7yr\\u002ffFCV+aUZE1EtimTNE1V1kHOeotT\\u002fYMNj3PQVMB7zrtn04\\u002fe4iNqtHxVp6kr05AW4RsZMU+6n1g73v9XzlbbNaC38uOKtWdPgdXTrq67mhs3MsGKV9Wc35uai81Bi+SVU3FbExVhVp0btZ9Uuuyrkxx7nGhV5jFDUOEdhzx3jZZaIPW8V\\u002fCOe+srG\\u002f\\u002f7GTfXY76k1P3QjVlJTogc5OBTx7QiENskCz+J\\u002fLLjtvOC2\\u002fjzCtyM1xyS71AmNMWu1uIFa\\u002fbuD+x9pRbxrQ6e4oW\\u002fmsiDF3iSJq\\u002ffZLpziUW8LsDFv79fWDvW9oBrhlga\\u002fkAWeboI+hALX5GUn5BrBtlZVXOoi8S9V2HExEv93U3Z0NnmsvKzvHcmwFIM9QYG0EZpVAtwiin183cP+jgFd3Pnh9I6At8DLtgMJatU9GO+qdBnS6O8qrv1hizJtGzqC+2nQigCSIOKe6T4DnrRvouU8B0wLoNVVVkYhLv4mzeXpGT721UMAtZeOMWve7zx3sfWWLP\\u002fYLxfg505y1gp5PoN7nr\\u002fIB7ah3UO8VpzyVoM521ZeZIHAtbVtR89y4oTst1NjxyrqzjvrVXUQxAKKbG\\u00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DJxRUXAvFERW9JXWRYG\\u002fcf0CrL22CYD1BQmQXiYjwih8NzLhz3xpy5eOJrnbvXv3UmtrK\\u002fbs2UMA0NXVNe09aGlpMQCwd+9eAwBr1641caAImF0NU2Sj7d27l+K1nXEuLS0t5vR\\u002fA1PPBwBrb2+XDz\\u002f84ANMOF8BwKWUmogxx+EYzwV4ZXcHDh8dhNEGIhZw835uHFDc1FVsuldWeLh2TTOuW9sM12WIIg3AaMYYsxmWcNu2rds24QrQ7HNW0BMh\\u002f\\u002fznP7\\u002feybjfEMJZEgaBBEgwRmAM2LuvF2+8dQq5XAjH4R\\u002foIZkORAQdC\\u002fzSJXW4564lqKhwkwdGeZ7HpZRveaH7yT\\u002fb8Wc9F+2LYaPTu3btYvGGoS8F+SNJUcaCfEEswvPFg5s2\\u002farg7O+NMdBa68RUP3psEC+9cgIjI\\u002f5Fv3eJwGutEUUa81uqcMftizCvuRJhqAAYTUTadV0RBOF\\u002f3bZ162fjVO2cZdXNSUFPTOFNmzatNISnHMdZFkWRNAZCCAY\\u002fkHjx5eM4dHAAXNhc6vk9JHTa3n3uzySWfxAqNNSV48P3LUNDQzmiSIGIpOu6IgjD541UnzVCVDBgEYxpBkMVGVMDgzJj4BKDAwCGyCdjJIAxY2gEpIdBoocb022MOS6l7H\\u002f88ceD6daSWA1Aked9IQ9lke+faOrpIs9tbW1u19hYVbkxywEsMMY0GzINRFQFoApA1gAMIJdAIaA1NApgGIXGMDgGQehShh8kra9ljP1PRsgopUBExDnDnr3deHl3B7QGHMGgL+LmPOWE4z+iSMF1Be64bRGuXdMEKXWSllOe5\\u002fHA97due2zbo3M5Gj8XBZ0AmC984QuVkZY\\u002fdB33ljAMlTGGOw7H6GiAp585jO7uMXgeB4CzmujWzyMYo2G0LkoGASDGQMQAmHNuFEQEKTWyWYGPf2QlWlqqEIYSALQQgkkpJQDGOWeMsSKZI9Euib9pjLFuhbbfqbVOfjQRhcaYHhAdBHAIoINE+mDkR+99+ctfPnD6mtra2sTevXvN2R5OYwxt3ryZTxdhfuSRRxpCra91iNYYMtcb0AoYswrAAiLKEBFPCCnEGFjsNxuY4pESTWxz2sVzgTEmIiIHAOKUFwnB8OrrnXjt9ZMQgl3ABv3BkFhmShncdON83HLTgni9lh3pOA4PgvDhHdu2bZ+rwj7XBL3ImHro4Yf+IZPN\\u002frLv+9KAhCMYRkd9fO8HBzE4lIfrimLUdZrDJExJyCiCMRqOl4HjuGDMpt+01pBRiND3QYxBOE780AIzKUrLtNPIZh38xMdWobGxvOj3ETEWbxgmfoCKhK6JIxhMuiUEGIrXypLgExGBcQ5GhDizgCiKekF00sC8y4h\\u002fH0o9X11dfbJ9Ese7ra2N7d27l3bt2qUT\\u002f\\u002fp07vijjz7aBOB6Cf1pMrgVBosMzJJsNitO23TiABcQb6N64lwmb5VTzik5nwSw18O+wXEY3nz7FF7ZfTL2xc++QSfXu3jlLLtp4tvjDXwqAWrmAxIBBoQwkFh3\\u002fTzcdcfiWNiNYYwZEKQ29MntW7b8aC4GV+eUoCcX+KFHHvod1\\u002fG+EkWRMsYwITiNjwf47vcPYHCwAMfhM97U4u4tIziOh\\u002fr5C9HYshCVtfUoq6iC8FwQCFEYID8+hpH+XvR3n8RAdydkGIIL56yahgiQUqOqMoNPf+oaVMY+O2NkGLPP97QRYwNMeSqT38QRY6NtGiF5+GIBNVbuOePc+rHaaMhIRjDmZQK9QETPRlH0vZnM\\u002fUceeWSRMuYnOaOPKa0\\u002f5DjOvGR9Nv4gYawrQTbdZUlojIhoUlqLpln7NCdjMxf2nIzWhrQGMhmBfft78ePnjkIIds7DJN9lN2mDZB3CcSEcFzBAFPpQSsbXzqZPuXCKFsbMxwaCQOGmG+fjjtsWIYo0jDHadR0mI3lUK3VXbW1tHzC36M5zRtBjITebNm1aAUa7iahKKUWMESll8P2nD6Lj5Ag8b2ZNTkSQYQgnk8HCFddg6TXXo7KuAa6XgdYxbzr+rNWc1iSNggAjg304vv9ddB55D2EQwHHcs24mYSixaGEtPvWJlXBcgSCQ8AOJKFSIpIaUClGoYvKG1ZZEDIwAxm3GwBEcXDC4js0Duy6H54miEOo4V6y1sYw\\u002f2CgDETHHcSAEh+8HMNocJIZvaOh\\u002fOnXi1KuLFy+uV0Z9woD+V8Zws+BOQ0LpVUqZWDEaAGQ3J0sz5YxAzFotQSARRvE5SA2pdPF8tI7ph7DnwjiDIziEIPtfh8F1BTxXIJsVOH5iCP\\u002f61AEoZcDYzJrcugWADEMwxlBV14DaxmY0zF+EiupauJkMiFgs3Aqh72N0eADDvT0Y6uvG6NAAojCAEA4Y5zM+a\\u002fb+Kdxz1xKsu35e4oLJTCYjCoH\\u002f1zu2bntgrmn1uSLoZCwt1Tz0yMM7PddrDYJAEREXguGFF4\\u002fj7Xe74XliWuFLdnEpI7QsWYE1t9yFuqYWGK3trq91UZtO9pXjv4AYA+cCxBgGuzux7\\u002fUX0XPiKJhwwGbQEFazGyxZXINMRmBsPEShEFkBCRWiSNkNKSnAiD9XPJKxRBDH4fBiAfcyAuVlDiorPFRVZVBXl0VlhQchOBzBYAAoqaG0ZX3FRBDBOQcXAlEYQmvzLMi0ZLzMSuuXKihLEzMJe1BwAhesyBkIAonhER9DwwWMjvrI5SIUfHsuvi8RRapIPJr2iYp3IMEZXJfHrDUHZRkHlVUeTp4cwfCIDyHOZikRlJKAAZoXL8OSa65HQ8tCZMrKobUqWj6McXDOQYnVFUfVoqCAob4edB0\\u002fglNHD8LPjc\\u002f8sBGgNcAI+IlPrMaC+VVJcFUzxoyK5Me3b9\\u002f+o7nkr88JQU8u6EOPPvRhTuJprbUxxpDrCjpybBA\\u002fePoQGJv+VKz2UyAiXHvL3Vh5wy0gxiCjqPj780HyAArHgVYKh955HftfewlaS3A+0wYDRJEuaiqb9pvwtc\\u002fjWydMXW1ZekbrIg+fc4ZMRqAhpnjW1mZRW5NBZWVmMknEaG0MEQwRMdd1KaaWqljpEudEnDEQI2ilMTzqY2jYR1\\u002ffOHp7xzE8UojPw54LMMFGY2w6V2TmaxgXChWtEWMMHIeDczqrJo+CAFX1Dbj2lrvRsnQlhCMQhRG0kmBCgMcaOjc6gvHhIeTGRhAUxhEUClBSQjgOnEwGnpeFjEKcOnIIo8MDoBlMCCJCFCk01JfhM59aA2Hpt8p1XR6E4Y9qq6o\\u002fCUDOlZr2OSHocZWSeWjTw0+5nvuJMAg1Y4xFkcS3vvMehkYKEDM8KHaXZ7jpvp\\u002fA4tVrEYUBYutgynuAJGREU4I69qXJ77UmtnA9dB09hDd+\\u002fBSCQh5czGxN2LATJv68wMdi4usnjnW60Cil4boClRUuamqzWLKoBs3zKlFZ7sJ1OKKY7gm7bxBjxOxmQcjnI4yM+Og4OYyu7nGMjwcYywXQSoNzdhrFdGps4f2SjpLjTGYdTvNOaxlFIRauXIN1d34Y2coqyDCA1gqMcTiuh0JuHL0nj+HU0UMYGeyFn8shDPwpG5C9VhowBsJx4Gayxc1+JjBG8H2JW25egNtvXYQgUGAMSghBKpI\\u002f\\u002fdhjj31nrmh1MdsLOBd27tzJiUg9+MiD9zJiH47CyBgDJgTDO3v6MDCYg+tOL2QAAGNw470fw+LVaxH6hThlNmGeEzE4rjNRjz7h6IKIQSsFpaJJUVwbLIqCAlqWroBX9nN45XvfQmF8BFw4Z6zDnLZpvB9MHPL0DQhF7e66HFobjIxaE\\u002fvYsSFkMgLzmisxf34VliyqQVWlRwbggKXy9vXncOz4IE52jmJwMF\\u002fUsJwzOIIBgmOyMJ8t43Dh53NGyuFMkIGMJFbfdAfW3nYvjNGIggIAgutmEIYBDr61G0f3v4OxwQEYGDBiYJzDy5ZNz4WIN\\u002fIoDM9phWht4DgM+9\\u002frxcrl9aipzkAqAyJiGuZhAN+JSTQlj5IX9F27dgEAmGG\\u002f6nqu4\\u002fu+FIKJ8VyA\\u002fe\\u002f1wfKhp9ekYRBg9Y23Yck11xeFPIExBo7rIgpDdB8\\u002fgt7OExgd7EcU2kBbRXUt6uYtQP28+aioroWUEbQldcTHZwgDH7VN83DHJ34aLz31Dfi58Rk1+6XERKoLcdTa6kkZaRw5Noijx4fw1ttdWLSwBqtX1mMsF2D\\u002f\\u002fj4MDuVRKEgkJZ+2ZLeY9sJsWqREBBmFWHPL3Vh7293FNCiRTXX2dZ7Anpefw0BPJxjnEI5T\\u002fKwNxs0gf4n1dp4uG2cMuVyEfe\\u002f14p47lwBKMymlIaIPPfzw527etu3Lr8+FwFxJC3p8AdWmTZvqDMzPRtbUYpwzHDs2hJGRAK7LzjD7iAhKSlTV1WPlDbdAKTlFyAHra\\u002feePI73Xn8Z\\u002fV0niw9RQvboOXkch\\u002fe8gYrqWsxfthrLr1uP8qoayDCIM2GW8CKDALVN83DLRz6Jl\\u002f71m9BKgji\\u002fcPv8ImGKgBLgufYWFwoR9u3vwYFDfdCxn805wfMEEsG+YOGO3ZLzWtfUP85+WMYQBT5W3XArri0KeaythcCht1\\u002fDnt3PQUURHDeD8yE0vV9oY7X60aNDuH5tMyoqPFJKq0wmkwl88wsAXk+YhKWMcyctSwAKuFM4znyllCEipqTCkaODsKnk6a+xMQbL1q5HeWU1lJRTXifGcOLgXrzyvW+h+8RRaK2Kx+FcwHHd+CeD\\u002fPgoDrzxMp795j\\u002fiyJ43wbgAZxN5emJWszctWIYb7v5IvFGcaS4mrgDFLLKi\\u002fzjpp0iKYWe+73w10HTXwRhbZuu6Aoxsua3jTBSInFtGJq1rktujlYKSEWQ0+Sec9BO\\u002fJiNoKWG0slmM04419VLZwFvLslW4\\u002fo4PQUWyGFMhzrHn5Wfx1vM\\u002ftEUujmsZjZd4U2WMkMuH6Dg5As4ZjDFkGxTRxzdu3OjFPnpJC3tJa\\u002fRkpyTgUzFBRAvBeE9vDkNDBXA+PTFGa4VMeQXmL1sFGYVTtDkRQSuF6rpG3P2TvwhjFHKjIxju60F\\u002fdyfGhgYQ+AU4rmdJFlyACwd+Poc3nv0e+rtO4oa7Pww3k4WSsqjZo9DH0mvXYWyoH++9uRteZiLyrZWCKTLKbEDI0kb51EAfrMlpYrroxOYwaZNINoVJ5ztBUJsZk99zoYwzoxWUVlBK2d55MTFFOAKcOxCOC8fzwIWwachJ6UwZhojCADIKoZS0gh8GUEqBc2FZfvH9seZ6hMrqWqy\\u002f+6MAMRgdgUDgQmDPK8\\u002fhvTdehuN6xUDk5YF1Z050DOO6tc0gIialBAi3ZDKZxQAOxp2NSjb6XtKCHlM0icjcRkRk4txyf\\u002f84coUIWU+cUfBgHxaFxgWLkC2rsGb7aZqDiFBd11j8d0PLIixZcz200hjo7kTHgT04fmAvlJTgQljB5ByMc5w4sAe5kWHc+tGfREVNDWQUFSPSKgqx5pY7MdB7Cn0nT4A7LjjnqKiqRqasEtnycnhl5XBcF1xYAZlM3EgYe1pKRDJCFPgIfR9RUICfz6GQGy9mDRBvInajsWsrZgzelwAkVoOBkjJOSdrNpayiEhU1taioqkVFdQ2ylVXwsmXIllXAy5bZACVNOdLUUFsc\\u002fAoKeRTyY8iPjGBseAgjg30YHehF4PvFQBoAXH\\u002fnh1BRVY0wDAAQhOvhyJ43cOCNl2MtfvljIIwRhod9DA\\u002f7qKrKQEplXNcRQSRvA3Cw1M33khX0trY2RkT64YcfbgFovq1uAimpMTCYB6MZvL04b17bOA9ccEuymAZSRuBCgDGGwvgYwqAArTXKKqtw\\u002fV33Y8HKNXj3pR9jpL8XbJLl4GWyGOztwov\\u002f+jXc9vGfQm3TPERBENNPDYTr4fo77sfJun2om7cA1fUNcL0suONACAdciGLudtoHtpjGQhzxV9BSWm0oI4R+AePDwxgfGcTY0AByY6Pwc+Pw8+OxluRgjE8yjWl6dwJTyUFaWzOcc4Hy6hpUVteidt58NMxbgPLKagjXg+N6YIxZgoo2RQvFGHUWOpv9QzgOHLcGlbX1YIstmSX0fYR+ASMDfeg+cQQ9J46iefEytCxdFQu5gXA8DHR3Ys\\u002fLz4Hx2XtcOWPI5UOMjvqoq81CyrgzpTE3A\\u002fh\\u002fZm1h54mSFfSi2U60SGvdqK2fSlJpDA4VYnPvzIfLaG2j5lU1Z82rcyHQ19mBk4f2YWSgH34hV8zNul4GNQ1NqGloQm50GFpJJCpLaw3X85AbHcHL3\\u002f0mbv3Yp1HX1IK4zBIqilDXNA8N8xdaOq0x0LG5rrWCCqIz6z6mLHDS3xP\\u002fnHM4QsDNZFFeWY3axpaiFRH6PnKjwxgfHcHY0ABGBvsw3NeDoJBHFIYwRk+hfE6OamhLnIFwHJRXVqN50RI0LliMmoZmlFVWFa+Xiem2URgUmWbxvZmy1rMhOY5RCgjtMTjnKKusQnlVDRauuAZjw4PgXEAbbdfIGKSMsGf3cwgDH457+bV5AmKEKJAYGUtKBsgQEcBoDTDRfKNUUbKC3trail27dkEzVi+IZW3nVZBSBrlcmFipZ8CmzTw4XmbanDZjHFpFePvFH+HEe3shw8CWWFqKF2AMCrkxDPZ22Wo2zlEkd8S+ZxTaorAwKKDzyEHUNDRPPPRxDMAGa4ovTToGm17Ai2+e5rVY+0+XkyfGUF3fhNqmFhijoaSEjEKMDPRjoLsTw309GBnsQ250GCACizMLWmmUV1Vj0cIlmL9sFeqaW+C6GTDOIWVUPMfikiYHD98vktjCJEvCSFk088sqKu1rSsEAcISDo\\u002fveRt\\u002fJE7Mq5Hat9v7ncmHcJdi+TgZNALB582bV3t4+a+s7F0pW0JNWS6RUpchmIH1fM8ZEGOpit88zQASjNZgQxYjsZCRm5+6nn0THwX1wvQyE6xar0YwNAkCAQ4iJiO6EgAcQwkXj\\u002fEVYsOIaNM5fhExZ+bTruCTb+wzHlTICZIjEzxaOXWPz4mVQMkJudBgjA33oOXEU\\u002fV0n4WXLsWjVtWheuAQVNbUwBtCxawAZgvD+o\\u002fzv\\u002f5wotoomXovCAEf2vFUM1s02iAi+HxW7BGubq89u3LjRIyIbUChROmzJCnoCTeTaG23rppXSZw0bx7oCZ+o+q03fefFpdB8\\u002fjKaFS0BEyI+PoTA+Csatvz5BfzXFB05GERhnWLhiDZauWYeGBQstv12bGWMAlxOJL54giXgjCgEilFfVoLKmDguWr0bo++BcQLgutFZFzT2Rwps9C7QYM9C2P8CpowcxNtQ\\u002fJUYymyCyz18c8U\\u002f2Jwd2JFRwOrW6lFDygs6o2J+BEu4z6CwbJ8Gmp5TCZP1HRCjkxlDfvACr1t8Gx3WB2KfuO9WB\\u002fa+9CD83XkzFETFoLaGkQuOCxVh90+1oXLDYFsSEIbSaEJBSxGQzW0mJxJEQjlO0TorvKzEk1\\u002f7Egb1QUsFxS0PQE6LU1BeNyWQys7+4c6DkBZ0M+TH1lIxBsfvI1LBSjJi7LiObuz2d8uply7H4muuKJrnRGtnySkgZ2bJGIC47tWZjWXkFVt95O5asWQcuHKgonP5mlzimLeAp0XNItHnn0QPoOn541n3zKTAmbnEFaG2DcYYoHBkZ8YHSvabAHGDGGW5GIkuBZIAxwmHwPGfmbA7Z7jCBXwCx0zW\\u002fgYxCaCmhlQQXljP93Ld2ITc6DC5E3FUlwqJVa3Hvz\\u002fwSVqy7BYCtoCoGpFJcEhhjwB0HhfFR7H352VmjEc8EY4CyMqfINyAbvB1\\u002f4oknotbWVlsBVKIoZY2uAUCHope4HOGcV2utDGcMlRUuRkYKM9Qw20aP4yPDcWHDmWQZYwyEcDE61I9Xn\\u002f4OgoJlwkWBDy9bhhtuvQdLr70hJnr4ljiSCvglhTEGjAsoKfH6M09hbHhwVsgxM8HKtEFFuQfOCGFxWXRyNtd1vihZjb5582YDANksP05EvTZibowQDPV12bhd1PSJaMY4Rgd7J6K4U35tue5RGOKNH38f+bEROI6DwC+gvnkh7v7JX8SK626EklHMqivZS3TFwGgN4biQYYDdT38b3R1HIRyvdIQctmQ1k3FQVenBBtsNaa0NoPfN8vLOCyX7FBORaW1t5X\\u002fxF38xYoCjSeSdM0JdXfmMGjbJlQ\\u002f1dls\\u002f\\u002fTRBNQC4EDj41isY6OqAcFyEQYDl167HXT\\u002f5c6ipb0IYTm1akOLSIBFk18tguL8HL\\u002f7r19F97HDcj6+Eqj7jaHt5uYuamiykKqZ3CVq8DBQnz5QsSlbQJ4NgntNGgwgkpUZjQxkqK1w7\\u002fmi6dDpjCPJ5DPd1g02qNDPGgAuBkYE+HN3\\u002fTjFtc8PdH8ZN930CnAsbmEu1+CVFwllwXBcA4cBbu\\u002fH8t\\u002f8Jgz1dJWWuT8C6iA31ZSgvd6GUNowxJqUcoXL1JjBhgZYqSvqJLu6SGk\\u002fa2dcgqQxqa8vQ0FAej76dodQxCtHTcRxMTK0N55zjxHt7kR8bhetlcdvHPoNVN95uSyn1DEScFBcHsYCLmNDUe\\u002fI4Xvru1\\u002fH2iz+CjKJi6q\\u002f0YAACli6pTdanHMcBjHm282BnLwAq9eempAU9Kfsjoj1SqTcdxyFjjDbGYMWK+rgh5PQPBuMcfZ0nUBgbLXZ9sRH5ED0dR1FRVYM7P\\u002fWzmL9sFSK\\u002fcFWY6kSEoJC3jK7LfK7GaMvZdzMYHRrEaz98Ei8++c\\u002foPXkCjuNOdG0tMRDZbr611Vm0zKuEsq2kLLuD8NSuXbtUW1tbSUfcgRIXdACmra1NPPbYYwVG7Gt2SAGMUhoLF1ShoaF8Wjqs1RoORgZ60XvqhOWrGwPOOfJjIyirqMRdn\\u002f45NMxbYKPqJUKxvKSIi3lyYyO2JdblYsAVzfQMQr+Ad19+Bs99axeOvfcuQBMEnlJLpU2AoLXBypX1RbOdc8bDMBxiYP8MWJ77LC\\u002fynJgLT7gGgND4\\u002f+D7\\u002fhjnnCtlTNZzsGZ101nGLlmGVcfBfUUNZivPsrjp\\u002fk+ipr4ZYXBmsO5KhTWNGApjo7ajzmWQ86SbDxcCHYf24bl\\u002f2YX9r72EKPThupnie0oZSmlUVnpYtbw+USrajufCP2\\u002fdurUjLqcu7ZPAHBD09vZ23dbWxr7y2FcOEaNdQggwRjqMFFauqMf8liqE4ZlpNBM3i+jv6kR\\u002f10k4jgutNRzPg5fJxEG3K9tUn4pEo49OaXJ56b7OZj+Uknjz2R9g9w++jfGRoUnTVEooqj4DiOxAjOvWNqOqOgMptSECi6LIl0b+VwBU6g0nEpQyYaaIvXv3UltbGxv1R7eFYfhvLEsOcByOW25agP7+A9NafoxxRGGAg2+9irqmliJZBihtuuIlQUw7CAo5217rEqr0pOZfyhCvPv2v6Dp6AG4ma383U3fWEgORHb6xYH411q5pTJSJ8jxP5AuF739p25deiecNlLzZDswBjZ6gvb1d61D\\u002flBACSCxRsjPOZrb+DACDiqraq0+wT0dcJx+FAaLAL9beX6KvAhHD2889jVPHDsLLlk2UAc8pECKl47w5AIBFUWSEEOs\\u002fu2nTSoLthDS7azw\\u002flPwik0kYD\\u002f7u797AOP9DpRQDQJwzjIz6ePGVDihtzjDdiTGEYYCFK9bg+jvvm5W1lxKIbL13FIV2eAEuTZjYGNud9cjeN3Hi4F54Xiap255TMAZwHIaenjHsfvVkPD8ATGutXcdZ5ABbJz10Ja9FSl3Qae3ateb+++8XUOpLgosypWyymwDs3t2BkdEgHs436UNkS0nrmlqw\\u002ft6PWuU1Bx+2i4mk+60KQ8gwvGTpNc4FxkeGcODN3TPOpJsrMMbAdTneO9CPw0cGkolAPAgC5brOT2\\u002fatOnftLe369bW1lKXo9IW9NbWVtbe3q5vuPnmz2c890NRFCkiMM\\u002fhOHB4AIePDsJzT8+\\u002fErSSyJSV4+b7PgEvW2bbOl3Npnvc500riTAMEEXBJXFlbACU4fA7b6AwNjqrzRwvFpLefK+8ehJjYwE459BaM6WUMcBfPPh7Dy6Oc+klLUslu7jYZNcPfuELqxzO\\u002fkjKSBtjSHCG4VEfr79+coYJqra7zA13fwQ1TS2Q5zFj60pHUv6jlbJ91oPgohubll7sYLi\\u002fFycO7rX58dLmkJwXLCeDMDrq4\\u002fU3OuPpsYyklMbNuI0I2Z\\u002fP9hrPByUr6DH91ZAM\\u002f8hxnDqtjQGIgQivv9GJkbEgnpox8Rk7DjnEinU3Y+HKaxAFVwkZ5nxAdr64jIcpEC5+MI4xy1sICoUZxxHPRWgNuC7HgUP9OH58CK7DARCFQaQcLjY88sgjH2tvb9c7d+7k5zzYLKEkpSAZWvfI7z1yL+PiV33f18YY7roMHSeHcejwANzT2gsREWQYoKFlIa695S5IKUs\\u002fQnIZQUii7qHtmX6RrRzbH38Up44cABel0frp4sIWtrz25in4fgTOibTWxDjjSus\\u002fbWtrE62trSUbCCpFQScAaGtrEyrQfyoE5wAMMYIfKLz+RqdlXJ0mxkZrCNfDdXfcZ2uZZ4HPXdIggpZ2SIOKhxZeLBhj68m7O44hN35l+Oanw8RtpHp7x7F3fy+E4CACC8NQu55759Do0G8mpdWzvdbpUHKCHs+w0iNjY7\\u002fkuu79YRBqgLgjOA4c7ENP7ziEmEabRxFWrbsFjfMXWtM0FfIpsOm1yDaKjIX9Yrk1RAQlI\\u002fR1noBWV24FYCLse\\u002fb2xLP\\u002fWNIR1jDif7Bx48bGnTt36mKH2BJCqQk6tbe3mwceeKAMRv+Bicf5MkYYG\\u002fOxZ2\\u002fPGfPQEyGvm9eCFetugbSjlVNMgyi0zS1lFEHJi3WdDBgTKOTG0d\\u002fVcdZS0ynTYpO\\u002fT3mt9Ft2cW5HM73zbjcYI8QDF7XnecuI839PRGbDhg2lJlelJeg7d+5kAEy2IrtBuM61UkpFBCYEw779vRgZ9s8IwCV0y2tuuhNuxktrymeEbfHM4oBlMkLqgwbMbIiUYaS\\u002fF0E+NxGEO02QjTGQUYQoCBDk8wgDvzhSOQoDBIU8wqBQHHE9+bOlBKvVOQ4fHURffw6OYDDGMCmlIYbPPvLIIw27du3SMKUVIiolZ4o2bNigN27c6MHQgwCgtSYhOIaGC3jvYD+4YKeZ7HZc8ZJrrkPL0hWW8VViD0bJwMAOg2SEKIqgVASHvItyaGKEvs4TdtMlO0lVKwU5afJKJltuJ7FWVCFbUYVMNmsn1RKDkhGioIDcyAiGB\\u002fswPjwEJWUxL89jn79UAnyMEYIgwr79vWi8dxkAkFJKea63IAyjfwPgizt37eQbsKFkePAlI+iJb84Y+wXXdW8Kw1ATEeOcYf97vcjlwoSZFH\\u002fCTk31suVYecNtJV72P\\u002fswgO2FBwYVhVCRHSc9fY+eC4NSEsOD\\u002fTDazqUzWqOsshKVtQ2oa25BXfN8VNbUwXHd4mx1YJLgTpqIEwQFBPkcBntOoffkcQwP9CE3MgSAwIVT5E7M7hw2A8fhOHJ0EGvXNKG+vhxSKrIkGvM7v\\u002fOf\\u002ftPfbtiwYTgueimJJ7MkBD25IG1tbZnhkZFNyctCMAyPFHDkyGBssk\\u002fW5oAMIyy7bj1qGpriRpCXQ5ubc1i7ZxuViilDBi8vTFGjyyiEkmfOjb\\u002fgI8Y9+MaGBjE+MgjX89C4cCnmLVmG2sZ5qKptiDvHaDs9x2gopSBlHlN25qK8ExzHhVebQXVdI5atXY\\u002fxkWEMdJ9E97HD6D3VYUdKCQE+y2OaiAhBoLBnXy8+\\u002fKFlAIq++nIKw18H8PiGDRs4gJLQ6iUh6HHwQg2NDX3ccdzbwjDUABhjDIcODWB0LIDnTeVNa62RrajC8rU3QqtLey1tOs\\u002f6osR4UUCmzCqzA6NO\\u002f2RxU7BrN8UJMbbQw1y+xhcGdnJsHLxU6mLV4xOMUVi57mbMX7oK5VXV4FxAaWXnvxW\\u002fPy4PZgy2U5CdKjv9vLfkuhlU1TWgtrEZy65dj+GBPpzY\\u002fy46j+zH2MgIhCNsKm9WBN5G4I8eG8K1a5rQ1FCOSCqjtTYG5rcfaHvgb\\u002f\\u002fb5v9WoGTawyyjJAR9165dtvMj+G9xzqGUMkTE8oUQh44MxEUrU31zGflYcsMtqKytswy4SygwQlg6ZxRYVlkY+AjyOTugMTdWfN3+RDAwdpChcCBcF5mycmQrKlFeWYOyyqq4+UWZFToZFTeqpIPwxYZ90gzC+DopGcXZiQ\\u002f2XRTz5ytr6lHTMA9aSWitoVSAySOzGGPgjgMCIQx8+IU8wkI+HnA5htAvIAoDSClhlAQxDuG6EMIBFwJu1s6FL6usxppb7sSSNdej88h7OHFgH\\u002fJjI8XZ75cTSTbI9yMcPTqIpsZyAOBRFGnHca7FePZTRPS1trY20d7ePuuTOGdd0BMW3KOPPrpWaf2TURRBa8MzGY5Dh4cxMurDOS1vrpVEprwCi1atjYXkUjZR0Bju78HIUD\\u002fGhgYx0teD4cF+BPmc1cxG21HNnIPHD9zpRTYTgyEJnuehoqYeNQ1NqGlsRkPLQpRVVsfdTCS0Vhd\\u002f04ovTzJYceLvF0fRJEMbixtV3N3HNuWEnTd\\u002f7DCG+nswOtCHsZEh+ONjk2rUk3bck5Y8uQI0tpaIMWTKylFd34iqugYsWL4afZ0nMDrUf1HO40KR5NWPHBvAuuub4XkCWhvDGOMU0r8F8LVSmZs+64J+3XXXEQBIrX\\u002fD81wnDEPFiHgUKRw5OniGH0ZEkEpiyZKVqKqtR3SJyTFEBK+sHPWOi8aWRXHDBisoudFhjA72YaivB+PDQ8iNDhdZYtOtyRggiiIMdHeir\\u002fM4uHCQKa9A3bz5WLh8NRrnL4GXzSKKbEDr4p1XvOYgTIIECP3CRTp2\\u002fA1xCo0xgpPNIsjl0H3iKE4dPYiB7k74+XFEYQjOORjjE7n08zx+Ysr7uXHkRofRcWgfvEwZXC9zUc\\u002fjQmE5HiGOHR\\u002fG9dc1Iwgki6IIYPSJL3zhC6uI6GCizGZznbMq6G1tbWzDhg36gQceqAbMz2itiwX\\u002fXd1j6OoeO02bU7Gj6OJrrrtM1VEEL1sGKqNY8dgccRkqUV3fiAXLV8PAIDcyjOH+HnSfOILu40dnJKQwxuwc9nhKqJ\\u002fP4eTB\\u002feg8\\u002fB5qG+dh8errsHjVtXA8z9aNAxcleKe1KhazEAFh4F801zZppe24Hvx8Dof3vIHOQ+9hqL8HRtsUGWMcXrasqLaTzq8XugRiHA7ncCgDozWCQn5WC5coTiceOTqAVSvrk1bQynVdLwyDXwfQBstXuXoFPW6sZ8rKyu4QjrM2iiINgAPA0WNDiCI1JaVmW0cFmL90JWqb5lka52WIYButJz2QJvn\\u002fFJRVVKKiuhYLV6xBf1cHXvn+txEW8iA2teW31tbVYLFG45NM\\u002fqHebgz2duHEgT1Yvf42zF++CkbrCXLL+wQRIQyCKQ0ZI\\u002f\\u002fimO7GaAjhQGmNY\\u002fvexqF3XsPIQD+IEYRw7HuSP2IizQdrAhIH6iYF92YTNtXG0N07jr7+HOa3VCGKVOyW4DObNm368\\u002fb29gKSUMksYVavUlKKaoANMQvKMCIEgcTJzmGr+SaLWMyCa1myYha7l9AZrK9im6bAh4xCVNc3IVNWHvvbUz\\u002ftuBkI4diWTr4fa0MDgoFwHDiOi+G+brzy\\u002fW\\u002fhtR\\u002f+Kwq53AebER5rWxWFNp4RxwrCsPCBHzvbgcXD6FA\\u002fXvnev+C1Z76LseFBmy8XDgADRjZjYYwuMuCuNPYigSClRsfJkeR+8zAMtRBiPef8RsA2UZnNNc6mRqf29na9sW1jFUbxSa01tDbkeQIdnSMYGwvPGItstEK2vALNi5dBXsSijIsBsh0Riw9\\u002fJm6ImCDppXbT\\u002fT8BL5PFcH8v+rs60HvyGMbzCoITyjwDqQAea8Jj+9\\u002fBYE8X1t\\u002f7ETQvWv6+uAImXlsUhXbjiYNbURDAvE+eZrLhciFwZN872PvKs\\u002fDzeQjXjYXagDPbE3004HC5RCbroXnRUtTUN6Gyrh7H39uDno6jEFzMfu7pA8OAM4aOkyO4ef18kCX1GM65iCL\\u002fpwC8OMsLnD1Bb21tZbt27VJ8nN9PjM23KTWQMQadnSOIQolM1ikOaCAiRDLCkiUrkC2rgFIfPD10qWAAVNc3ovvEkeJrNn8dAMagaeES1M9bgKVrbsD4SD8qBp\\u002fCa+8MYN8JhpoKBUaA0oDrZZEbHcZL3\\u002f0Grrv9PqxYd1ORGnpBAk8EGYbxIAv7Uuj78e8u8NziiTdaa7z9\\u002fA9x+N3XwTgvWh02YWAwkgPKy7P4ydsj8KY7oKqvR0VFGRzXA2MMR959I9mF5nyDimLh1aiP7t5xLF5UgyCQpLWGNvSZtra2P9q8ebOeTStm9lWipg97nseMMYoxRvl8iM5ToxAOnzKFxcAOSGxasLg4BbVUYYxGbfN8q+Hj14jZhpUDXZ2QUYTQL8AYiWx1M76wAXjyv3Th4f8FIO5gNA9wZgBoywc3wNsv\\u002fBDvvvgMiOiCz99uMrGg23AcosCHmXHG\\u002fAznpa0\\u002fHgY+Xvn+t3Ho7dfAhWvjEMaAM4O8bxAqBz93v4dv\\u002fNEYvvZHJ3DHTc3wyutB0JBRiIGeUxgbHgIr0Xlr7wecEfxQ4dSpUQDWu9NaAwarBkZH18XMz1mTt9n6Ytq1a5fatGlTFoQPSaulGGeEoWEfI6M+OJ\\u002f0ABJBS4myyhpU1zfFjKvS1OaJP1pd34iy8so4+AYrCMJBb+dxhH4e3BEgGETSoHdUYFHjMLb8Vie+uXkYH7uZYzjHoZT1cUEMwnFw4K3dePXpJyGjsDg48nxXFUUhjJqIGSglIaMQ53sdjTEQroexkUG88OTX0XXsEBzPQ+KHa6MxOM6xbmU5\\u002fuH3ffzj7x7Dh647BROGGMh5MDqygTvXxWDPKfiFHOgKalBhFRGhu2cMBT8CY0RaaeV5XhkH7o\\u002ffdnUJeltbGwGA52EBgJuk5V0zYoSurrEzLDmCjVZX1dWjorrm8owUer8ggpI2ltCwYBFUPG\\u002fdGAMmBEYH+zHU12NzyTCItIuxqApaMkQ5g7uv6cfX\\u002f+AU\\u002fvKBEBXlLkbzgGCWLuu4GZw8vB8vf\\u002fcb8HPjce33OSLYxlh+exgWI\\u002f5Edg5dFAaxP3n2DcNoDcd1MdBzCi88+XUM93YXTXXOgLyvwZws\\u002fvg3GZ5s78Rnbj0JEyiogMOPKpGT5TYoRxwytOOsYWwA8kqBMQaCMwwM5ZHPhdZagTE2oIxbATuEBLOkoWbVdC8EuFs4jjDx02qMQW\\u002ffeKyppl4PIkLjgiVnvF6SiINV85euguATwpho++P730WRHgqFzlwzmPLgMA3tC7gmwEM\\u002ffwrf+ZNBfPhGjqEch81IaThuBn2nTuLFJ7+O0cEBOK53znRV0udeq8RHn5jaQkRnlXNjDNxMFj0njuLl734D+dERCNeLA3LAcA5YuaQc\\u002f98fFPDHv3IEtd4IVF7AgIGLECfG52EsKgODAhcOhvp60HvyGITzATIJJQoiQEYafX25OL9ueBRFIJg7N25sqwKgZ+ucZ0XQi4PpGD4Ui63hnGFkxMfoaHBGFxkbABJomLdgTgxisN1oIzQtXIK6efNjrU5IWiJ3nziC3s7jYI4Hl\\u002fnYP7QMY0EVDFMgBhgQ1Dhh3eIBfPMPu\\u002fBHv2bN\\u002f0jaVJzjehgZ7MOLT34dvSdPTMw1m+4hMrZqTMoQxuhEzqG1KlJip3v0kp57juvhyN43LS8g8OM2zvY4YwWg9SNZfLe9B\\u002fdffwJqHDBKxPEFAKSwf2gZRoMKCGZzy4ffed1mTErVIvtAsPf4VPcoyNJ2SSllGOcrXXd8IQBs3rz5qtHotHPnTk0ASJt1gI1aCsEwNFLAWC6IgzTxm2Mzs6y6Bl5Z+ZzJwSZCveqGW6dw120hi8R7r74IGUZwhUFXrh6v9a0F8RBGMxBg01O+A5eN449+8zj++hGD+moXQRCByKbqCrkxvPzUN3Ho7VctY8x1Y8Ge+CHOwYVTLGJJ0m1aKRtcc1xbRjrpMzAGrpeBUQpvv\\u002fgjvPHj70ErWSweIaPhhwa\\u002f\\u002ffM1+NuNJzGvtguyIMAZA5FN2hFTCIJqvNh1IwQFEF4WHYf249TRg2dtNzW3YbMhQ0M+fL\\u002foshnGGCmjbgImKbnLjMsu6G1tbURE5vP\\u002f8T8uNISFcbkmAcDoiA8ZKZyeHtdKoqquwT58c2DcLjDRMHHekuVYeu26YuWYZVK56O86iX2vvgAuHDhM4RuHP4LxQh2YCKANgzEE7gQYyNfjy8\\u002f9Cp4NH8DNH\\u002f951DXZue4AwIWAUhJvPf9DvPLUN9HX2QEmOFzPg+O6cL0MtJI49M7r6D5xpLgRJJvniQN7MDrQB9fLxk0hHJv+4hxdJ47ghSe\\u002fjoNvvmIj\\u002f4yByHaO0YZw6333Qy35ZbQ99wCeO3IvhLBVe8YQtCGQKOB7HXfj8PB8VJYxDPX14t2Xf1zkG1ypYIxQKIQYGw\\u002fBeUIGJCD202cLlz3smexoJgyXgdAc0ztJSo2hYR+MTSXJIH4oKyprIFw3ppXOflbwfKGVwtrb7sXY0CD6Tp2INysD7jg49M7rcLwMrr3lDnT7LfirtzfgoZu+ClcEgCF055qw5bV\\u002fhyMji+CxAirqW3DPp38eb73wI3Qc3AvhuGCcgzGGU8cOoe\\u002fUCdQ2taCqrgGOazX+cH8vRgb64rTcRKSeMYYTB\\u002fahv7MDDQsWo7ZxXvyZcfSd6sBAdye0kjYGAMQpuQBlFZVY\\u002f6GPY\\u002f7SlRgaDzFgFmLHO7+O\\u002fqAGP7fyKWjtgDtjeL3zZuw6+HFUlgsMDXTjlR98G0E+By7cObNZXyiMsZH3fCHC+HiApsZyRJE2cRzkutlc22UX9LVr11L8xYu9TEb4vi+JSChlMDxciFsFTZJ0bXPJ5dU1c5JYobWG43m49aOfxu4ffBt9pzrguB6IMTAAe199HvnxUVx36114a+QW\\u002fJ9vVOGXVn0DSytP4G\\u002febsXR0YWoyeQhtaWxCjeDWz\\u002fyKVTXN2D\\u002fay9BRiGE4xaj4L0nj6P35PFiTICIYr8aZ1w\\u002fx3UR+AWcOLAHHQf3JdFC60o5TrHlE7RGGIVoWrgU6+\\u002f+CKoaGhGFATgjOGQtkL9\\u002f7zOYl+3BHfPfxJOHP4OvHf00wAVOHdmLt194BvmxsfPLEsxxWNdMY2wsLD7G8Tm3bNy40Xv88ceD2WgxNRsa3T5zRCsmd2oJwgijY8EZGt3A+qPZ8oqY2TW3zD5rwtv6+Ts++bPY+8pz6DiwD5FvA1tcODi69y30nzqJ5Wuvx9C81TjY92\\u002fQUp1Dd6EZ5U6AfD4AdxxwLmL+POGam+9EVV0j3nnpGYwO9MNxHBDnNrd9mkDP5A8nPrwzTeOG5DNKSgjHwdob78Hqm26HEO6UvvnaMBAMMi7DP534ZXy78zPYe6oW+eFOdBx4E6eOHAaAK9gvn4qEJTc0nIeyc9VJaQMDNLiuOx\\u002fA0Tggd2ULetJNBgyL4rnZxBhhfDyElKcH2iiewOIgU1Zua7Qv94IvAhJhdxwPN33oE1i4Yg1OHNyL3o5jCAMfjushNzaMt55\\u002fBtmyl5GtbgBzK5BxDALfh+u5WH\\u002fvx8G5KO5zURCgZcly1DQ04cBbu3F8\\u002f7uIAj9uoGhdm\\u002fMSrBlKRZOAXVV9I66\\u002f7V40LFgMGYXwc+O2AUS2vBi8Y0Kg79g+vHuqC4V8gGCsGyMD\\u002fVBKQzhOsQbg6oCtyR8fD6G0ARGRVhoAarTWjQCOzkZAbjaoSQYAyNDCifJToFAIoc1pRRYUa3Qh4GXLrQk0xzR6AmtKK0ip0LhgMRoXLMIr3\\u002fsWTh55D4y5YFyAc4EwUvB7OgGjATCEUYDVN9yGsopKhMFEUQsRIQpDuF4W6+\\u002f+CBYuvwZH976J7o5j8HPjYFyAEYE4n7p5Fru6nB2J2V8YG8Wbzz8NGdn0nFIKFVU1uOczv2j995gz4BcKOPD6c9ayYByMO3D4RN351QVCLh9CaxNbqFoLITJKm0Zgwn29nLjcgk4AzM6dO\\u002fkLL744L240QUSEQl5CKx33h5v0ZmPAGP9gpZolA4pbRtnRSMMDveBsgreepL6KvjERhOti4co1MU\\u002f9tKMRwWiFKFRxW+UWjA72o+vYYZw6fhiFsVGEfmFKk0ZGDMJ1z3O5tqddFAVx1Ztl1Q319aDj0D6sWn8blO9DK4XmxctQXd9kG0HEGnzO3673AWu6A74vIZWGxwUBkK7rskIhXzNb65oVsvGePXscEOrifxIxQq4QWSU2TX2+43pxaqokOud+MJiJOeJBLjdtBiERfC0lqhuaUNvYPHN75kk90QGgqrYBVXWNWLX+NowND2JkoDduwJgHGIefG0PXscPnvVxbb8+n\\u002fJtxjo4D+7Bk9XXgwoFSCtnySjTOX4Sj+962BJ6rUcqLICil4RciZDICOm4NSUZXz9aKZkXQx8fHuTGmumi6w+6AelpmF8AEj6mbF1ZtVYowsMy5kYFeKCXBxPTtim231gDNi5ZCuN45B0cmv0u0NxGhqq4etY3NIGYnqXLXQdexwxck6Ges39he7iMDveg9eQILVlwDpXxwztHQsggnDuy9yoU8qbw18AMJAsEYTfZZ59XARED6cmJWEtJSSgeAM9lHV0rHfuGZ70+CS1dEDUTs044ODpx1iEJS6VXfvADsAlqDT55XpqREGBTsrLMwQBQEiJI+dB8AtsjIoOPQPiDuTS9lhIb5C5Epr4AqdrK5emEMoNTE82wAKDKz1slyVgTdGONNnnZgDKbUnl\\u002fJIMYQhQHyY8OWGjutNrdR+oqqalQ3NL7vslwr9OyM6aUXA1xwDPV0YWSgD0I40EqhrLIKNfVNczY7cjFhDBBH24svMMABii3ULitmRdAZm3BMiayQJxz26aw+lVywOf70TESo8yjkcmB85stvjEZFTT3KKipLjt9vhx8K5HNj6OvsiMcu2Sh906Klc6Lw6NLDQKozHuarqx49z1hEmGAGGWNm1uhkg1JxUu7yLPASghhDFPjw8+NgnM1okBMj1LcsKF13N86G9HQchYyr82CAmsYmiCsiQ\\u002fLBkFipyf4cZyJCYHYKW2ZF0L0oCk38JCRMIs7ZtM0KCSg2NrwSQMQQFAoICoUZTXdjAAJDXVNLyVJGrVbnGOrrQX50BIxxKCVRXlmNytr6izLEcS6DCBBiqoVKRP5srWdWBD0IAgkgTB4Exshy3E8LqlslTsXa6SvjwTEICrmZNV5MrMlWViFbNNsv7wrPFyyON\\u002fR1noBwBJSUyJZXorquodjN5moFEYGLSeJFgCYKAKC1tfWyr2d2NLrnKRAGaFJIknN2Zgrd2KopLSOEM2nAuWYiGsDP52YUXoKNllfXNsD1ku4xJSowZIcsDvaeim+DXWdNfVM8lGKO3ZuLDMFZXKYKE8eeBwFgz549V7zpbgCgrq4uIlAs6Fa3uS4Ho9O7iBnr00YRCrmxM3zahLwxl2Bg4BfymFF447Lc8uoaOG6J19\\u002fHrZ9HBweQHx8FF9xuUo3NcUlsCa\\u002f9EiJxRx3LAYYx4EoqkKSh2VrTrGj09vZ2bYzpixvdQ2uDsjLHNio8TUMnU0YKuTGwuK1w0jwhCkPkRkfmlklvgCgonNUcZ4yjvLK65M8rafE1PjSI\\u002fNhosbqusqYWXjLAosTP4VKBMUJ5mQttYIjAwig0jJkR4CohzBR7WxOOMWKwM+kMystccDZNX9C4q+r4yPAUTjh3HOx95Tkc2\\u002ffOnGk0aD0TO2d9JtiOqx7Kqqrnhp8b8+HHhgZsEVJM8a2qrYNWV2c+3RiDbEbEdRvW6jEGw8YxvcDVk0ePv5MdjXvDGWOAsjI35rOf9u44ujs2NIgo8AEiuK6Ho3vesgP9hvqnLfgoSSQlpuFM\\u002fdTjslzHQVlllW1rfTnX9z5BjDDU1x0PhLA59orquuLAiKsJCS+krNyLK9dsy2cC+k3WdALA5s2brwpBt1DqmFIKjBEZY1BZ4cJxpinwgO2NNjrUj8Av2NbDncfx7ss\\u002fhnBd5EaGMT4yZIM\\u002fc0CrA7a91LSIy3K5cJAtK59Dpi9hpL\\u002fXBg6NnahTUVMXlxXP9touN2zlXlWlFw8hIRO7YP3b27cPt7W1sdlwyS67oCf+idb6aOAHY0TEtTbG9QRqqjNnppOMDcjlx0bh58ZRGB\\u002fFmz\\u002f+PmRoWyjlx4YxOthvJ5eUfJTXphBn4gQQAKMN3EwGwvHmhDuSFOn4hbydvhKz5LIVFXAc96pjySUava62zHJDEneTzF5gYlT45V7XZRf0tbt2GQDI5XKHiNGp2H\\u002fRgjPU15VBqZkr1E4dO4y3nn8aY0MDtnMJ7Gih4b5uy0KaI+rDaHNWTVdWUVns31byMHYSjIpsYJRxDqMUvGwZ3Eym2B\\u002f+aoHWBp4nUF3txbfPdjiGMbuB2fHPgVkQ9HZAt7a28v\\u002f+3\\u002f\\u002f7mAEOJIP2OCfU1mZhq6FO+1BcGnl071voPnYYwnWt\\u002f2cMOHfQe\\u002fK4nSNGs+eJXAjOVoxmYOBmymx542Vd1fsHwRJncmMxQ04reNlyiLjj7dUi5kX\\u002fvMxBVaUX94wjUkpBMPHqbK5tViWDGTyT9I3T2qC+rgxlZW7SVO8MnN5KKqFhjg0PYmyo3+bZ54IWPFu7agO4njenfFtiBBlFKIzHXAet4WaycBx37gRKLwpsw4mamiyqqzJQSmshBCkpD42NjR0CgPb29qtDowMT5osR5od2LjpRFGnU15ehpjp7VvP9dBDZSaHdHcfBhVPi5q412flZ+9JbjT6nJB1xJ99C3k6AgYHjOHAcF1cXO87yOxa0VMVUZui4h94LTzzxxMhVNzY52dXyI\\u002fn9Rpt3HEeQMVo7DkdzU0WslS\\u002fgATEGg92diAK\\u002ftIc7xKfEhXPW9zieN7fc2jhgGhRy8Vw1BoDgZufehvVBYIwdLdbSYmsUGCOSUhpt6MfxW6YOFbyMmC2pMDt37uRPPPFE3pD5nuVFk1ZKY+nSWjgOP2\\u002fFbKeeuBju68H48NAFzg2fDRC44+Bs95vPMVovYNl8hXxuUtWand92tci5tSw15s2rjK1SbRhjPIyiESPD7wJAe3v7rJVgzpr627Vrl\\u002f2LMt8MgkAyRlwpY+rrytAyrxJRdP7NFhgRAj+P\\u002fq6TJU0bTRwSL5OdUcwNEPP3S\\u002fc8TkdSZRgFvk0dxvdAuO4cOosPDiJg6eJaeK6AUsZwzsGJPfv444+fNMbMSlotwWwKujLG0D333PO8MeYdIQS01sZ1OZYuqYW9Jud\\u002fXYgxnDp6sPTZZETwsmVniSXYhg5zCnHtgYqi+PrbOmzH9TCXNqzzxem6JOl5WFnpYcniGoSRAmOWKCO1\\u002fr8BYMOGDbMb+J7NL9+wYQPbsGGDArG\\u002f5pwTEZko1Fi6tA51dWWQcnKHjpl7y9lqIY6RwT4M9\\u002fVY07hEzXer0cvO\\u002fp6ztJgqZURhGOfN7b\\u002fn3IZ1npDy9JQhQUmNlcvrUVHhQWujhHBYEAaHyjOZHwCzlz9PMKtPVHzyFDH\\u002f62EQnBRCMKW1Ls86WHttc5ErTQRIZeB5HDU12Wl8cJtmCwp5dB0\\u002fbNlZs3A+5wUieGVlZ9+H5mCjTCKCVBGUkjFxyYCVcmD0fSApP21qLC\\u002f2gytq8yoP16xujPsbGnDOiDT+3z\\u002f\\u002f8z8fam1t5e3t7bOaZ5zVO9He3q5bW1vZV774lW4QJrS61FixvA6NDeWQUsWtlYB7716KG29oiWdanXawuGSy6\\u002fgR+LlcSdepu5nsWWMJc7ZtljFQShY1OjF2RVnuxhi4rsAnProSq1c1IAglGLPTU69Z1Yjq6gyk1IYxxoIgGGGMPQGAZlubA7Ms6MDE0EUy9JUgCLo5Z0xrbTKewC03LwBgPfX77l2GlSvq0dhYjowncDoPIxn2NzbUj4Guk2CTRh2VEozRcB3PBuSmbcxAc5tkMumaJ0UuVwKICEobzJtXibJyF\\u002ffctQRr1zRjbDxEc3MFrr+uOR4SCu26LgH05a1bt3a0tbXRbGtzoAQEHYBpbW3lW7du7QfMDsdxCICKIo0li2tx3XXNuPO2Rbh2TRMKhQgV5R6aGisg1ZlR+eJggYOlOS3Ers+yxjJl5bZee7pziM2\\u002fi49LeU0mmogUv+0K6jBDAGCAhfOrivfsnruWYt1183DjDfORzQoopTTnnAW+3+1w\\u002fjhKyJ4pBUHH2rVrTVtbG5OefCIIg\\u002f2O4wjAaCk17rh1Ma5d0wTbTxJwBMPChdXTDgkwAIQQ6Dt1EkO9XaU3k5tsvbmTzSJTXj695iZY3v77gB1sqCcqxpKhDSwe4sDiyaqT3qeVsmy2uHag+P73k6Y0mHK9lboyBJ0ASKVRWeGiqdHeN9vH3uBD9yzFooXVCEMNxpgRjiAQe+yLX\\u002fxid2trKysFbQ6UiKAnF+PLf\\u002f7lASjznwCAiOJ20JN7vhOU1pjfUoWKCg9yhpLWICig4\\u002fB7QAnWsxmt4boevLKKGSu7Ir9wAQZJMgbZxihcLws3m7Wui1KQUYjQ9xH5vp2sGkVgnMP1svDKylFWWY3yqhq42TIQ4wgDH0E+hygMikMZLkToJ0pxCGFQwBVhu5PlsDc1VaC2Jhub6DQlC2SM0cJxeBiGb4S+\\u002f5W2tjaWuKWlgFkZsjgd4sAc37592zcefHjTzkzG2xD4gQKBxz3gDRExKTXqarOY11SBw8eGYt74ZHPRzlPvPHwAK9fdjGx5RWm1ZCLr75VXVttg1RkSTQgDH+cjIMnkF+EIaKUxNjyI4f4ejA0Pwh8fg+\\u002fnIYNwyuBFJSUYF3AzWXAh4LgeXC8Dx5v4bxQEGBsewmBPJwq5cYAIQjjFccgzrMby+Lmwf2WADPxS9KDeB+yGt3xZcQAwABhjjCEiZgwMY8wYrSVpPPqVr3xlfOfOnRxAKujTYe3atcYYECf63SiM7uGcz49kpDnnjHNOUkokArtiZQOOHh\\u002fCdALBGEchN4oTB\\u002fbg2lvvsSmfkmHM2T71lbV109J1iYAwDM4p53ZDcxCFAToO7UPHgX0YHepHGPhFvjljVDTf7YdQ\\u002fHcYFABjoGOt7Tge3EwGmfIK1DbOw6JVa3Hd7fdgdHgQx\\u002fa8jb6uDmilzkExJjCR0HsJYRBgrmt0Ips3r68rw\\u002fyWqmJajTFGnHMKw1ADMI7jct8v7NixbccPW1tb+YYNG0oqdVISpnuCJN22devWDiXlJgNDrusyY0yPjKInbV7WGKU05rdUoqGhvGhGTYYxlkZ64sBe5MZGwHnp8N+JCFpp1NQ3zrAuQljITzu1JkEi5IN9XXjhya\\u002fh1af\\u002fFX2nOhAFARgXtumDl4FwXAjhgHNhf4QAi\\u002f10xgW4sBVmQjhQSiI\\u002fNor+Uydx8M1X8Mr3voE3n\\u002f0+OHdw78+04s6f+BlU1tbFm8j0K2OMTWnJHYUzN8GcO7Bm+7JldSgrc6CUNkJwo7U+GYbht1zXZY7jcD8IX3e48\\u002fuxyV4aD9sklJSgAzbdZk347buk0k9wIfIg86tKqt\\u002fUWo9yzkkpYzKegxXL661GOuMocRvi4SGcPLhvxhnkswVjNDJlFSirqJp2QEM+N25JM9MX5YMLB0N93Xjpu9\\u002fAQHcnvEwGwnGKroDR2gbb4s6bk3+KGva015Me+Y7rwvEyYMJBb2cHXvjO\\u002f4d3XvgRFixfjbs++XOoqmuAknLadQkhQPH\\u002fZBTEQcVSsaTeH7TWqKhwsXxpXcLU1I7jEBn83amTnT8no+jbxpgCGPvNLVu25OLGjyVjsicoOUEHYOIgBnHgP4\\u002fl8p\\u002fetmXb048\\u002f\\u002fngfQP8shAAj0lIqrFxej5qqbJxqO+0gAJgQOLrvHTsbTJSOl2LijjnVDY1TeuTZ\\u002fmu2OCQMCtNrTiIYo7Hv1RdQGB+H62WKUeCLtTYT9853XBdCCOx\\u002f\\u002fSXs2f08aprm4Zqb7iiuY+qaDISbAXEOYgS\\u002fkEcYFOY0Oy6pSFu+tA61tVkopRIyzJgx5u927dqlZCT\\u002fbaTCn9ixZcu79iNUOhplEkr1LhgA5rHHHhv8yvbtP25raxMASAN\\u002frZRSAEgpg\\u002fJyF6tXNUDKadoKx\\u002f20cyNDOLLnzZIy343WVtDrG2EmVXvBAEQMSko7VnmaEVSMceTHRjDQ2wXHvbQdXJIutJwLHN\\u002f\\u002fDkYH+1E\\u002fb75tRS1lcd0Un5ObzYJz6xoE+RwiP7Atjy\\u002fZCi8diABtDLIZB9dc05hE17XjuqS1eXLbtm17Wltb+eOPP963Y+uO5+KmEiV7qqUq6Amora2Ntbe3K2MMujo6XpRR9CPHcxkRlFIaK1c2oKYmk7CSpsDWqjs4tv8dDA\\u002f0gpeKCR+nZqrqGuAU56sBSXRXyQh+fhx02giqxMT283mcQQ28REjadRVyYxgZ6IPjeMXmHlMymzBwPS+OATAEhTwCvwCwudOGeyoIMlJYsbwO9XVlkFKBiJiMIhAz\\u002fw2YqNWIn9GSM9cno9QF3cQX0GzYsIHt2rVLMYdttUodTCmN6ioP117TFO+4Z5q6jDEE+TwOvvUqWIkUuyTCXFXXgLLKGuhJI4aTUVP58THQaUJCsdnuZjJ2s7hMZ0PxtBwDoFAYR5DPgfhkirGl7bpeFoxbF6mQGy+xbMeFQWuNsqyD69Y2x3sqKdd1SSn9\\u002fW1btv0QQEJtNaUu5EDpC3oRu3btUgDosb987Ekl5XOWT2ypstesakRdnfXVTxd26zu66Dz8Hk4dPQjHLY3xTVprZMsr7eiiyVTReEJpbmRo2nUaY5Atr5wUyJv80al+88WCif31TCaLvs4O+PncVN+brOnuZbMQjgMZ2RFNbFqeQOkj8c1Xr46fK6kMEUhrHXGiP4ftkDRnZAeYQ4IOAPHFNcTwf2orBaSUNtkyB+vXzYPRlpZ4JghGK+zd\\u002fcKZD+mswqChZWHcYy15yRbnjI8OTdsDT8fMupYlK+K2TbEZHZNh7CE0jFIXRZsmxy2vqoYTj8ISpw9mMLZZRra8CowzKBlhuL93TtajJ2WnNTUZXHdtM5QySaEKiyL5VGVlZUnmyc+FUnnizwutra26ra2NVVdUf1tF8inXdRkR6ShSWLG8AYsW1sQtqE7\\u002fpE1JjQz04sCbr4KL2efA2\\u002fkMBnXzFp5GQjHgjGN8eBgyDMDoTGExxmDhymuQKa+A1tY8llGEyrp63PGJn8ZN9\\u002f0EHC9z0UxnrSRalq5E55EDGB7osbGOKevREK6LsopKGAOEgY\\u002fxkaF4lt5c0+gErQ3Wr2tJerMbIiIppeJE\\u002f8dcMNOnw5wS9CR10d7erjnTbUqpiAhkDMA54eYb59vGktPcCmMMhOPi6N430HX8EBzXm91xQUTQSqG8sgo1Dc1FoTTG1nHnx0cR+AUQm0o7pXh6aXV9E5Zecz2UlDDGwMuW4daPfAoty1Zi6Zp1uP0TPw0vWw71ATW7UgqVNXXIZMtw4K3d006uNQYQjotsRSUIwOhgv7U22Nzyz4kIYSixcEE1Vq1sQBgpANCe5zGl9P+7devWF0qNw36+mFOCDlghb2trY1u2bH9ZK\\u002f33rucxwKgoUmhursB1a5sQyekfbiIbNHr7hR\\u002fZwYznq9kvkVbS8eiihvmLoOUEH9+uU2F0sH9aX5uIoJTEynW3oKahGUEhj1Xrb0VtYwuCQh6hX0Dj\\u002fEW4\\u002fWOfgeN5UEq9f5\\u002fdGNS3LMTRfW8jCoMz22nTxATYbDxKaqivCzIK51wgTmvbWOLmGxdACAatjWaMURCGg4KxP5r01rlmpsw9QZ+AIaN1exSEPZxzBsAoZXDjDfPR3FwxrbCbeITT+PAg3n7hh8V01VkFmQB2qXLwsZA0tCyM55RNcvuMwUBX54zxBK0UMuUVuPbWu1HT0ISFK66BlJbjTowhCnw0LliMm+\\u002f7CTCy01MuVPC01qiorsXIQB9GBgcgphmQkbggmbIKeNkyBH4BQz09k347N2AtJYX161rQ0lKJKG7w6LouU0r\\u002f2ZYtW46WQkuo94s5KeiWE7+Bbd++\\u002fZjR+o+FEERE2gaqOO64dTEcMX2HGWM0HDeDrmOHsP\\u002fV5yGEM+32bGKqaX9nB7pOHLkk0frEDK9vnmdJKHrq5jQy2AcZBTNaJzIK0bRoCW772E\\u002fBy5ZNEWZiDGFQwPxlq3D9nffNPKr5LGCMIQx8jA0PnJVwZIxBTUMThHCQGxnGyGBvbC3NDZmwUXaF+fOrse76eZBSAYByHIf7vv\\u002fGaHX1l+aqyZ5gTgo6EHPid7ZypdRXgzD4oeu6nIiUvWFVWHfdPETR9CZ84q+\\u002f9+arOLznDUtaOf0hLjLrhrH7B99Gf\\u002fepSyLsdi0emhctL7LcEpJKfmwUo0ODZ2f1GViG3TS\\u002fJ2KQUYjl19+ElTfcbE3vC9Tq9jNnJ30Zo1HT2AzGOUb6e1HIjZdQZuPsILKWi+cJ3Hn7IjgOg9bGxMMRI2jz8Ffb2\\u002f3ZGnd8sTA37sb0MGv3rDWPP\\u002f54oCP++SiMRslGf3QUKdy4vgVLFtciiuQ0Mw3t\\u002feKC490Xf4wT+\\u002fdML+wEhKFtxPDa09\\u002fB6EDftMGoi4GWpcvBHadIgrGltmMYHx60jS7P8p1KTVNkctrv1952L5oXLr1gYT\\u002fXe40xcLwMKmpqoZXCqWOH54yQJ1DK4LZbFqKpsQKRDcAp13WZluovtm\\u002ff\\u002fuPW1lYe8zjmLObWHTkNSWDu8ce37FVaf0EIzojIGGMMY4R77lqCqqrMDCm3mGkGjTef\\u002fR5OvLcXbiLsJqGiShTGxyAcB\\u002fmxMex++jsojI1ac\\u002f8imaXJ91TXNaKusWWiDDQuFBnq67Ym\\u002fVmE55zCGHPrb7jnoyirqLpoaTeKMwcVVdUor6zG6PAAhnq7SrYx5+lgDAhDhbVrmrD22iaEYSzkniuC0H8ln8\\u002f\\u002f2Vw32RPMaUEH7MDG1tZWvmPbtieCMPonz\\u002fM4AKWUQWWlh7vvXArO4rTVNFx4xji0MXj9madw6J3X7XQRslRZGUXw8zkABOEIDA\\u002f04ZXvfwt+IQchLp5m11rBzWTRtGjJRPhK2xhB78njtq77Awhm4s9X1zdi1Y23XVQhVEqivKoGFdV16D5+BIXcOKiEW20nICIEocK85ircduvCpB+7YYwxJdUYh\\u002f4PTzzxRD5+e+nvWufAnBd02LJWY4whh7HPhWG4TzhCAEZHkcKSxTW49dZFkHLmQBJjDEQGbz\\u002f\\u002fQ7z9wo9goCEcFzIK4RfyliNvDBzXw2DPKez+wbcQ+IWLVhFHjEHKCAuWroKbKbNlp\\u002fEAhNzoCEb6+8D5B9WSllpb09AcWyQffN0GtsFHw7wFUCpC97HD8TeVNmwQVKOy3MN99y6Fa2elgYjsPPNIPrp16+Nv7Ny5c85G2U\\u002fHlSDoAKA3bNjAtmzZ0ssi+k2jzThjjACYMJS44foWrF83D2GoMB2HI2bTgnOBg2+9ghef\\u002fLr1jYmhMD5WFHSjNYTnoa+zA7t\\u002f8G1EUXDRprdqpVBeU4vmRUuhkjRZHEzrOXnMFot84O+hixsJNwaCCzQtWoaBrk70d3WWXufd05AE3xyH4f77lqO2Npu4dtLzPB4G4Ve2b9\\u002f+13OR5no2XCmCjl27dqnW1la+ZceW3SqSGxnnYIwpAEZKhdtuXYjVKxvgB8r2UpsGBlZr93V24Llv\\u002fxP2v\\u002fEyZBRNUVFG2\\u002fRc78ljePXp7yAKL5awWzdiwfJVYJxPqkwjDPV0IfQLpTX7PWH2VdeisrYex9\\u002fbA6VmbjNVCkgoE8bYnuyLFlTHmRkjPc8TYRD8qGao+tG2tja2c+fOK0KTJyihJ+eDIxH27du3\\u002f48oDP5EOEIQkUpu7t13LcGihdUIgpmDUUmlVpDP4dA7ryFpdDj1PVbYu48fwSvf+xbCQsHmjT8ApTbR3o0LFqOmsRkqigAYCMfBcH8PxocHS2r2O8FyAJoWL0N+fASnjh2KiUWzvbKZYQwgpcbtty4sjlQCoB3HEVEUHSbQ\\u002f9r+1Xa\\u002fvb29SLe+UnBFCTpghb2trY3t2LajLfLD\\u002f+F5niAySmsDx+H4yIdXYMGCaoThdGk3C2MMiHE4jjvj91hh99B78hhe\\u002ft6\\u002fwM\\u002fnID5gnj1JVS1etbZ4HNux1Udv54mS0pYmHmzZOH8ROg8fQH5s2LZ6LtG4le3mqnHrzQtww7qWJMKuhRBMKjVolN4Qj1BiKMGebx8UV5ygAzYS39bWxpRS\\u002fyHwg3\\u002f2vAwHjFRKI+sJfPTDKzB\\u002ffhWCs5jxKA5GmBlW+2cw0HUSL3\\u002f3n5EfHbE+6vvU7ESAkhLzl65ERXUN4gYbIMbQeeTAWTuwJuud0ghycjNIe6SLV7oaRaipa4SXyeLwnjfhOF5JMuHiTCWiyAr5LTcvjFuP2Qi71jqC0r+ybdu216+k4NvpuCIFHYDZvHmzefzxxwPO2K+HQfBUJuMJIpJSaWQzDj724ZVomVcF3\\u002f9gOeWkRHOotxsvPfUvGB8ZhvDe70NvI+PZiiosXHGNrS+Pe7aNDQ2gv\\u002ftkHOyaYNCZ4nggBiEcOK5n2zw7DpgQYNy2eGaMQSsJeZFaMGut0bRwCbpPHEEuIfWUIIyxQn5LLORhqGB5FgxEJLXEb2zbtu2pnTt3XlHBt9NROrbgJUDSy2vjxo1VwhVfcxz3Y0EQKGOIOw5DvhDhmWeP4MSJYWQy\\u002fAO1YUt87IqaWtz2sc+gpnEe5PugnCKmv+bGRvHcv+xEUMiDC4HAL2DVDbdi\\u002fb0fRRSFReFlnEMrjaCQQ+gXkBsdwdjwIHKjI\\u002fDz45BhCBmFkFLCaAUlZTwJ5oOCsPb2e3Do7VcR5PO27VUJme02um5gDHDrLQtx4w0tkFLDGKMZY2CMmTCS\\u002f\\u002fbxbdv+55XAfDsXrmhBByaE\\u002fYEHHqguqyz\\u002fR9dxPxlFUaS1djjnUErj+ReP4b0DfXBdm8J6v49rUqSSyZbj1o9+Gk2LltkuMRco7EnO\\u002ft2XnsF7r78MJ5OBkhJlFZW472d\\u002fGa6XhV\\u002fIYXSgHyP9PRgZ7EN+fAyF3BgK4+PxWgCA4v8nA8vthpRQVIvnaab865znqKREdX0j3EwWvZ3HwaepaptNMCJIpcA5w913LsGaa5oQRQrGGB1XOkKq6Ld2PLbjb68GIQeuAkEHJgt7W1l55ejfu673c77vawDEGCMiYPfuDrz1bjeEoGIDiPcD2645gnBdrL\\u002fnY1i8eu0FT0dN+r7nRobx7L\\u002fstD3eGYfRGvMWL0Po+xgd6odSClpGRdOdrKYqxhaKMYbi5mXi\\u002f5upwo94dJM9AVvEQigOeThjfdrAK8siCoKSyQIksCxAhUzWwYfuXYrlS+oQhBLGQMcUaT8y6t\\u002fv+OJjf3f\\u002f\\u002ffeLZ5555uyFAlcIrgpBB6aY8Z5wxQ7HcR+IokgppYkxYo5geOudLrz6eieUNhD8LG2Qpm84W0TS4MIYg2tvuxvX3Hg7VDya+Hy1uzEajpfB2y\\u002f8CAfffMV2xDEm7hNnNxQ9aSJLYsZTYtIzVhT+yaOQk+9PgnVaa3scraCUgpJRsWsN4zzu085w+oDFYi3\\u002fZYI1xc\\u002fOBGaMEAQS9bVluO++5Whuqoij60YLIZjW2o+k+rUvbd\\u002f+tatFkye4agQ9RrHU8OFHHv4Tx3H\\u002fUEoJrbUGiHkex\\u002fETw3j2uaMYGw\\u002fgutPnrTln0EpDG2MHFEzbj9KyM1QUYdl167Hurg+DcV5kvZ0TSZPIkWE89y87Efo+iNtxR1pbim5VXQPKq6qQLauAm8nCy5bZQJwbz1wTjhVWIex\\u002fGY\\u002fJOIBRCsYYSBlZHz6045V9P48gn0N+bBT5sRGMDvajkB+H0dr2bJ8F0g7Fgw49z7paZxQZUhJ0U1i6pBb33LUEFRUeokgDMMpxHG6M6Qql+rXHH3vsh1eTJk9wtQk6jDG0efNmam9v1w898tC\\u002f40w8TkRl0o5qFa4jMDiUxwsvHcfJzhE4Di8+SEmapmVeJdasbsTzLx2HlBp8Ru1P9jNhgOZFy7D+3o+hsqZ2Uo33OdcKx\\u002fWw99UXsG\\u002f3c3C9DGQUoaquEXd84qfgZLJ2SKJjm2cYo4vmdqKxrfttYuGYrmaditVyyQRWay0oRGGIKPCRHxvFYG8Xju59C\\u002fnxUTB2+fLljBF8X2LRwmpcs7oRP\\u002frxkSkpUcYIkVRgRLhh3XzctL4FnBMiqUGAymQyPIzCvZEf\\u002fuqXvvSlt6706PpMuOoEPQbFP\\u002fqhRx+6j5P4qhBiaRAE0hhwx+GklMYbb57C2+92QWsDIWz6KAgkrlnVgE98bBUOHh7Aj545fHbNjriDSRCgoqYWN973CcxbtAxRGJyX+Zu0hXr2X3ZifHgIjHO4XgZ3ffoXUDevBVEQxCy6+Iww4WuffsKT\\u002figGz6YsedLGgHgDYIzD8TzAGPz4m\\u002f+Ino6jRTfiUoMxIAgUmpsq8MlPrIYxwK6vvQ0pdVHYg0ChpiaDO+9YjGVL6mzQTRvDONOu6\\u002fIwCJ8MefBbX\\u002f7LL5+6GjV5gis1j34uGAC6ra1NbN+y\\u002fcdREH48CsPvZzIZwQgURcoAhNtvXYRPfGwVamqyMW3WfriqOgOtDZYtrcWH718Oxijp\\u002fz39lxkDx\\u002fOQHxvFy099EwfffrXoU58r366VQqasAqtvugPGaBBj8At5vPjk1\\u002fDeay8hNzIEx3XhZrNw3IwdjOi44EKAc2uqM5b46hN+OsWvsfg9nHNwx4mnqXpwXA+u5wEEDHZ34tWnv4P+rpMQl1nI582rxMc\\u002fuhJlZQ5AQHV1FsZYfz2KNFavbMBnPrUGy5bUJTlyxQUnzjgPAn\\u002fLyY6On\\u002f7yX375VFtbG7tahRy4ejV6EUlQprWt1Z0\\u002fuvC\\u002fCMF\\u002fFwCkbRzGXVcglwvx+pudOHCgD2Gk8YmPrsTKlQ3w\\u002fQiZjINjx4fwzLNHEAQSYoZedUDc6MJoyCjC4tXXY91d98PLZs\\u002fBeLMKlguBva88i\\u002fdefwnC9QAAMgpRVlGFypo6VDU0orKmHuWV1ciUlVmiTBxIS8zxqcecbOLbeINWCjIM4BfyKIyPYnigD2NDgxgfGrA1+GehBF9MJG2XFy2qwYc\\u002ftAzZrIMo0hCC4Uc\\u002fPoI9e3vQ0FCOm2+cj2tWNUIbJNNUtOu6PIqiUQP90Pat2\\u002f8HAGpra6MrlfF2vrjqBR2wfntSxPDQow\\u002f9giDxGBdicRiGSmvDhGDEOcOJE0N4+91u3HbLQjQ2ViRUSriuQHfPOH74zCGMjvpwHQF9Fq1n56sFqGloxg33fBRNCxaf25Q3ABMch95+DftffwlR4BcFT8nEdI+nkxPB8TIQrtXsgoviTLQENtquoLWKiTQKYeDbY5mJjQCwm8zktN2lBBHgBwqrVjbgvnuWwhEMUlkqbybjYPerHejrz+PuOxejqiqTaHHNGDHXdRGF0Ytaqc9u3779zTjTcjoP+KpEKugToNbWVrZr1y710EO\\u002fvZRE2XbXcX8miiJorRUA7jg8SddM6YumtYHnCQwO5vGjHx9BT984Mi6HPlsX6ZhJJ1wXq9ffhpXrbgYXju2HPm1k2+bAhethsKcLh955DX0nj8Mv5IosucSvLn5iSlDOTBzGmNOINPZv9nsTks2kb74AQs37RRLwlFLjuuuacceti8EYprhEiaZ3XWGDcJHV4kIIboyRAD020Nf3x1\\u002f96lf9qy19di6kgn4a2traRHt7u4QBPfTIQw8xxjcLIaqjKFJaG8Y50WTFZkyxcoQJweH7EV546QQOHe6fErGfDkm+XUURmhctxXV33oe6ppazandjjO2vToSR\\u002fh70njqBvs4OjPT3QkYhlJLQShd9f3uM5Di25v2MkUr2wB\\u002fwyr1\\u002fJB1fOCfcdstCrLt+HpQ00EYbAIYm+R1JPl9rrRlj5HkeRVF0UBn50PYt258EJjgTs3ZCJYhU0KdBW1sb27x5syEi89DvPnQjKfaY67kfllJCKSWJSACJ0In4QZXKGHDGrXZ8\\u002fY1TeOOtUyDCWdJvFraveAgvm8Xq9bdj2dr1xVZW00XQk2MJ4YA4i\\u002fnsEXKjwxgd6kdhfAyhX0Do+5aoY7Q1\\u002fTmHX8hhpL\\u002f3Ul26CwaRbdBYVZ3BPXcuwdIltZMLT0gIgSjJKqC4sWrHcbhWSimYr3BD\\u002f\\u002fvWrVv7d+7cyVtbW\\u002fWVVkt+MZAK+swomvJtbW3u8OjoZwH8see5tUEQaCJSrus6YRB+DzBBJpv9Kd\\u002f3lTGGEREJwXHk6ABe3n0Co2MBXMfmnmfW7gxaSyip0NCyAGtuvRvNC5dYmqtSZxX4yZF0S2qxvroxOhZ0a8K7noeOg\\u002fuw+\\u002fvfnvVuNUlgMoo0liyuwd13TnTsBYwSQnClZASD\\u002fwmiViKq1FpLxphwXRdhGL6qIvmfduzY8QMAaN3ZyndtSE31mZAK+jkw2Qx86KGHriFO\\u002f0UI5xe11hBCqCDw\\u002f3NNVc32kbHRf3Bd9xfCMDRW6xBzXY6RUR8vv3ICR44OgnN2XtpdRhG4EFiy5nqsuuFWlFfVQMkonuQys4BOnshqabpUPKYxBo7joOPgPrz2o+\\u002fOqqAnk1Ech+HG9fNxw\\u002fXzwIjFY7QgXd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QQAEFFFBAAQUUUEABBRRQQAEFFFBAAQUUUEABBRRQQB6A9PYACth5CCEIANTW1hLU1qLW\\u002fLy+vl6+15kzMTPr+Llz57Z539XV1cL6vV6eaJ42UwCQ16utRW1trQAAQohAAQUUsHtRU1ND6+rq2CPz56tCCLqn7y+EoPPlvZm8vygwij6CwovKQ5icmtTX15OZM2eK2tpazJ49m+c4jr7xxjyPu9zntlNepBM6AAYvI5SUEIJSIUQZhPASSm1CcDsXwkFA7AAAQpIA0gI8TQVJgZAwOG8CJQ2U0CbBRaOha+udXnuzHg7H1u2\\u002fLjaLzDK2N1YAosD58w8FQs8bCFIjQKrnzqXV1dVGe2IRooZ+smDmMIMYIxWq7k0gRhuGGMIhBhFgkN3hcAkhwLkAIAAQEAL5U\\u002f7I+gwQAuZxrb+3fkZAKQEBQSqVTBCCdSBkPQXW6AZfyRhbySGW00R46UEHHZRo\\u002fyRz5sxRqqurOQpEnzcoEHovQghB5s6dy3IR9gfffDOIpowhhNL9uSCHQvDxQsBHKAn4\\u002fQFwIRCPxZFMJDXKaFRVqGFTFJuiKk5GaJpQElKZElcUqhFCBSMEhBEQQggBwIUQwhDQhSAQHJphKIbBXYbB\\u002fUJwu6YbybSmp3RDp4bOPQ6nw+ZyucEYQywaQTqtxQAEKcXXoOQ9IcQ8BmX1gZP3XpPrGefOnctzSSUF7BkUCH0PwxJ1ARBCSEYUXr16tWN9MDqFGOIYRtm+XPAJHq+3gnOBeDwOwTkUhYFANNlttga\\u002f1+1yOx3liqLEVEVJ2lSFqIy6KGNuAOouDlPnnMc03YinNZ1rumY3dO6JpZIN4Ug8kkgkS7kQ5TrnoJTC6XRCYQoi0XAjJWSRAJ8Hzt6yi8T8qVOnxq2L1gnBZkqRocDp9zAKhL6HIISg9QCZlUXc8+Z9W6IRo5ra6FHc4McQQgbYHU5QShEOh3SVsS0+j9vrcjliXpcz7ve4yxWFOSmlBgCGTghaiF2jIUI6XRYaAINzzjTdSEVj8c2ReNIeTyaLIrF4SzKZLvX6fC5AIJlIQAixmRL6li60t9Ip8cGPDpq80bpQXV0dmzlzpiCEFLj8HkCB0Hcjampq6NixY8nMmTO5xcE+\\u002fuabYuhiGjdwJqV0P6fTOVyAIBwKpew2FQ6HbWtZUcDwedwVNlWJ2W2qG4Az1\\u002fWFEBCECJic1URPvVMBAJxzgFIQIUgXG0BK0\\u002fVwOq05QtFYU0NTiCdS6QFpLS3cHq9dVRXEotH1QohPCKHPpYz4BzOmTm00n4HU19fTxYsXi4Jov\\u002ftQIPTdAEsvnTFjhm599v78xftTYpxOCD3D4XAO1A0d3ODg3NhYWuSz+z2eRJHf67CpSol5SoZyOSCoed0uiG2PQggBQoiw9oGsrzgAaJoeCkaisXA0Zm9oCce5EINVVQWjDMlUYhM3+L8oJf+ets\\u002f4j60TTSNeB3tFAbuO\\u002fFg13xNYvm1LHH3z44+LPU7PMTDIxZTR\\u002fbw+v6OxsYG7Xc6Qx+EIl5cWwedxlaqKogKwtbuWFaDSV96R6GQjSmu6no7FE\\u002fEtTS2pcDTmiSfSntLSUjUcDqfB+eec4FGbRl\\u002fdf\\u002f8xTeaF2sxjAbuOvrKI8hpCCFIPUEv\\u002ffn\\u002fBsjJKUuczqpzrcrrGxOIxGLque9zuTVVlRY4iv5eqilKafQ3OuTDF7x17J9n6eHvdPMuFtn2QNj\\u002fk7yT3790cGZcqRZsTdV1vbAlH+daWUDgYDA9gTHG43G4k4tGlhm48a3Dyt0P3G78eAIQQDAAvcPhdR4HQdwGWfjlrlgwk+XD+18MZZZcYwrjQ5XIXp9IpEGBLid+rV5aXqG6nowgm5842mO2QOC4EwIXk+JQAdA8FyHEOwbkcK9mx+3byrKlEMhnc3NCiNYUiLK1plW63B9FoJKww+ngyrf1txn6TvgEyhrsCwe8CCoS+E2hP4HM+\\u002fXSAzeG5khF2jsvt7tcSDGoOVQ1WlBWn+pUUeew21Q9zrntcJDc4eDwBEYuDNwehb9wK3twC3hSC0dQM3hKGiCcg0hqEpgHJFAQXIHYbiE01f9pAi\\u002fygJQHQ0iKw4gBYRRlYv1IQtwvU7QIU1iPDRQ4RX9P1lobmYGzztiYlnkwV+QMBeyIeD3IYT6bikT\\u002fNOPDANUCB4HcFBULfQQghqKU7fvTRwnJhp1cwplzmdLmKQ+EQ3E7H+gEVZay0yO9nlLoAWFS9y8Qt0mnoK9fB2NoIbdlq6MvWQN+wGcbmbdA3bQFvCZleatHuHyDkf23RJnLO4tQkI6ZTrxvKgEqwqnKw\\u002fhVQhw2CMmooWEUZ1GGDQLxuef2dNxBmE70AEG9oCQXXb96GaCxe4fP7WSIeD3HOH9R0cv+M\\u002fcdtMU+iBf19x1Ag9G5CCEFqATKbED5\\u002f\\u002fnw1Qe3nEEGu8\\u002fn9Q1pamnWXw940sKIsWVocKGWUurNPxfbm2RTHs4msw\\u002fcA9HWb0XL93Ui88j+IlA5QgDAFUBmIogDM5LqtMa9Zf2eDoAPVi6xfrN85h9B0QNflT\\u002fO69kljEPjjVXDMOMC8XCdj7uqZOt49cxDnPN4UirSs37QN0USirChQZItEgpuEoLfRVPixgw46KCGEoJ3lABTQEQVC7wbq6upYlh5+JCG43uXxHByPx6ESumVAZTkvLw14GKU+85Tt8zmT00IIgGXpu4YBEGrFzrU9nhCIRBKRvz6L0N2PAWkNxK5C6EbrMd1BDjrv\\u002fFgCwhgE5xCpNNwzj4X\\u002fD5dCGVjV8Skzz8RbNx0AMLgpMWC7RM85RKu7jke2NIbC67dsQyql9ff5vIhGI\\u002fMMQWoPmTLuTaDtuymgcxQIvQtY+d6EEPHRwhXlMJK1lNFLVdWGVDrZVFFSnBhUWe5VFOYDQEz9e3sXBXhbQhDJFNJfL4W61zBQr6f1WIO33QSyCCv53jw0XX4DjI1bQdxOeWx3QEj3NwQAoFTq9oSg6ObfwHvhGR3GAkA+U5aBjocj0Jauhm3caBCnvfU43ZDPtJ15yp5LwzDCG7c1NW3c2uhSVFs\\u002fbugQnD8moNQeNHn0xuz31P0H+2GhQOidIJtTvP\\u002f5ojMZYzd5vL5hLc1NybKSQMPQ\\u002fpVup8MeAEC7ZWDjJiFaxGBwpJeuROLF\\u002fyLxvw+hr9kAVtUP9oOnwHPmibBNHmueZ2ajWedlbRTakhVoPPdqaCvWgbgd2yd2QgBdBxSle8ROKURaA7XbUPLIzXAeO6Pjc2T\\u002fLYD0l98g+szLSH38BYxN26AM7g\\u002fHEdPgOuUo2EYPbzXqtb9ObrTR4VOa1rhq7aZ4Q0uoLFBU5IpGwusF5384eOqEp4ECd+8KBUJvDyFInekTf2\\u002f+\\u002fEpK7He6nM6zUmkNlIhtwwZWpcuK\\u002fOXIcpN1ycXbEaqIxRF\\u002f5W3E6t9A6tMFENGEDC1z2CBSaUA3QFwOOGYcCO9FZ8Bx+DR5HcNoKw7rBqAwaMvXoGHmL6Bv2AzisLcSUHswBt4cgvf806GOHYXm390G6vN0fjwhEIYBwhhKH78dzqMP7TiGLIkj+cHniPzlSSTnfAqRSAIKA7HbIJIpgHMQlxP2AybDdcKP4DrpCNCSgDk\\u002f3SL4bAFCawqGGlau3wRdF1VOpwPxePxZTePXzDhg4oaC7z03CoSehWxr7px5C4+22ZT7PR7vyHAoFCsrCTQNG1DpVxXFbx2O7XJw04oNQF+xFrF\\u002fv474C29CW7EWwjBAPS6pj8ubt4qzQoBHYqAOO5zHzkCg5kooQwfKTSNbzzUJLz3\\u002fa2w7\\u002fVLwRApEZebmkgVCINJpsIpyVLz1BFhVP2w7\\u002fTIk\\u002f\\u002fcBiM8rr9MelEDEkyj+8x\\u002fh+cmJbYnckgYIgb52I4Kz70Pijbng8QSox93mOVp\\u002f5xDROAQI1KED4TrtaLhnHQd19LDWY3k7e0XH95PZVDnnoTUbtzRt3NpY6vMHfPF4dI2R1q6cvt+kV9q\\u002fywIKhJ6BJfbV1dXZqkaOna1Q+jtKGTH09KZRQweSYr+vFDJbrGsCb7dgta+\\u002fQ+SxfyHx2hzoWxpAHHYQh00SQFeiNmMA5+DhKJSqcgSuvxLun57ceo92xB7753\\u002fQdEUNiNvVkUtTAhFLovTvd8B18pFyXEtXYevxF4CHo9Jiny3KMwYRCsN3xXkI3PybTok8Vv8agjf8CfqGLaBetzwm16aRua4U70UqDZFMgpUUw3nMofBceAbsU8fLY9ptkJ3NsjwIeigSbVi6ZqPgQlRRQsB1fsdnW9bc8Mtjj00VRPlWFAgdMtSSEGLM+eTLIQ6n\\u002fTGP13t4U1NTsrTI3zRiUH+n3aYWm8d1Lqa3M7Jpi5ch8ui\\u002fEHvhTfCWEKjbCaiqPGZHjGGMSZE+nYb3F+cgUPNLEFWR37Uj9qaf\\u002fQHR514BDfhaCU5hEC1heM47HcUP1LbenzFEHv8Xmn99U1sRnlKIeAK2iXuj\\u002fNW\\u002fgbocbe9lqiLBOx5G+M6\\u002fApRJY5th7JAlH5QCmgYei4P6vHAefSh8l\\u002f4UtmyCt3z7OSDMzY5ABtysWr8psrU5VFpcVOSKRcLvxfTEhYdPnbqyQOwSP2hClzHq9XQWmWW8N\\u002f\\u002fLI21U\\u002fZvd5eofj8aCwwZWhCvLS8sBOLrWwwVgtHJwfdV6hO\\u002f\\u002fB+Iv\\u002fw9GQ5MUZRVlxwk8G6b+yltC8Jx9KkoeuhEZHxkhGaLQ12zA1uMugNHYIjcDIi36ypCBqHjjH6ClRa3SgBAQXKDx3KuQeOVdEL83M0YhBMrr\\u002fgLH9H1bubmAuZFRtFxzG8IPPgXq97bef2dgEbxhgEdjoD4vXCccDt8V50IdM1IeY\\u002fDt+eIt7p7a2ti8eeX6zR6ny1WaTMQ3G5px4fT9Jr5RiKj7ARO6ac0VAPDhF99coarsDgHqIMLYtPewwXavx2Wli3YuqmeJsSIaR+Tx5xD+yz9hbNoq9W9V7VqU3VFYBrWfn4Xiu\\u002f7QNiDFNIyF\\u002f\\u002fQ4gtffA1LsBwwOkUqh7J\\u002f3SmNatgvM\\u002fF1fvR5bjz4XvCUM4rSDt4TgOvMklD5yc1uual4\\u002fdPNfELztIUnkVuRdDz0bdB08Fgcr8sNzwRnw\\u002feJsuTlByOTXzsX5zDuKJZKNi5evTnCQgZQQQ9f1303bZ9zdQNt3\\u002fkPDD5LQLUPNI4\\u002fMV8dMsd\\u002fl8XqujEajhs\\u002ftXD9m+GC\\u002foihF2aJhTmTprfEX3kL4T48jvfBbwOUEse2EiN5dMAreEkbxPdfBe\\u002fGZWRxX3osHw9hy1Dkw1m6CSCbhveRMFN3xf62GO01HKp2G1+2C0A0QhSH6zxfR\\u002fIsaEK8bhFH0e+MfUPceIa9JaWZTiD\\u002f\\u002fBhou\\u002fD2ox9ka7NOTsDi8roNH41BHD4PvivPgOfvkDOcH7dwHb0lehsGDS9esa2kKRgf4vB41Eg49+O0C\\u002fVeXXDJV+6Ea6X5whG696E8\\u002f\\u002fdTH7d7HvV7v6U3NLfEB5aXB4YOrAgBc6IqLWxZtSqCvWofgjQ8g\\u002fuJ\\u002fAUZBXM7dR+AWTO5K7CrKX3kctgl7tXJqi6v\\u002f+Qm0\\u002fPpG2A\\u002fcB+WvPA7q98pEFkqwev1mBCNRTNp7hBT+TeJovPB3iP6jDr7Lz0fx\\u002fTWt0oKlFmzYjK1HnwdjWxOI3bbz4np3n5FS6abTdTiPOgT+666Abfxo+X274JxsmEU6CID4uo1bG9ds2uovLin2h0OhF1tiLRceP316yw+R2Pd4E4DeRE3NHIUQwl\\u002f\\u002f9NMBsPte83p9pze3tDSNHNw\\u002fOHxwVTkAl5lSmZvIDUMufkoQfeJ5bD3uQsSefwPE4wJxOkyD1G6WDIUAVAU8GEGw5k8QhtHK4Uzd23XiEVCGD4b\\u002fhislkRsGCCXQNB0NLSGEY3EEI1HzeHleoPZXUMeMguuEH7Xex7omIQjd+GcY6zd17avvyWc0DBCHDcTrRuKNuWg45RJEHnxKGiYt7p4D1IxQBOAa1L9f\\u002f9FDB4ZbWlq2+fyBU0o8xa++\\u002ffGX\\u002fQkhvGbOHGX3PkR+4QfD0TOW9S++GeGg9AW3xzs+FApuGz1soF5W5K8UAEFnRrcsl5m+ZgOC196F+GvvAmaKZ4\\u002fq4e1h6ciZ+PTWpBMeDKP0r7fAfdbJbcNlhUDq0y9hP3CfNq64dZu3YfWGLaCUIODxYPzooW1ulf78K6hjR4FYlnZT3E+88zEaTr9UEjljyAg81ph6UlfPBcaAtAaeSMB5+DQU3fY76X\\u002fvwjJv5cATQkQwHFn37cq1qtfrr4rHY9\\u002fEUunTD99v4lJrTey+gecPfhAcva6ujhFCjPc\\u002fXTDGTslrTpdrfCQcbJgwaqheVuSvEkIQGYfSCZETAjCK+GvvYtuJFyH28tsgHrf0P\\u002fc0kVt6qsIy+qqIxcFDEYhoDCKehEilQBx2qKOGQVuxxhRlSZtr2A\\u002fcRw7ffKa0pmNLQxMYpWCUIhiNoiUcNR9REqpt3wmtRG6NBYD27XIoQweB+rwQyaQcQzTWOiZNazvmnq5rZ8goQOr3IfHux9h24kWI\\u002f\\u002fv11nvl2GQIISCEgAtBAj7v4El7jzRi0fBmu90xzm23vTz34\\u002fnjCSFGXZ3osUT7fMb3nqPXzJmjzJ4xQ5\\u002fz5ZeTnNT+os3mGJJKJLZN2GuY4XI6KrN0uo4wOZpIJBG67SGEH3wKAJGcracIPFOtRQA6h9B1QNMgUmkQu80sAFEGZfggqKOHQRkxBOrIIWClRXKzMQtIdCAuU8e2dPB1m7Zh9cbNUBUpseq6jpIiP8aOGNLhnPYQaTkeEY2DN7dAW7EW+oq10JauhGbmxxubtkIkklLCsSmtabMWIfaUuG\\u002fFFeg6PBf9GIEbrpAuzPbhue0eAQBJptKbFn23kip2e4WeTq\\u002fTk8ZJB+8\\u002fbqG1RnpmgPmJ7zWhW8ES78ybN9Zl975ms9kHa+n01gmjhwqnw16Broxu5sLR12xE8y9rkXznY+lrJugYYrojMHO6M+J4WgePJyQH8rjAKsthmzQGtvGjoe41DMrgAVCGDpLRdDsJTdexYPFyaLreRmrhQmDi6GHwedw7XxXD4NBWrYO+Zj20pauhfbMU6QWLoW\\u002fckqlsQ5wOuTlmz92uiPrm3PGWMBzT90XxA7VQRw7NxP93AgGApNLpbV8tXakTplZpqfT6dDJxXPVBU7\\u002f+vgfWfG8J3Xpxn3y5ZAiheMNms++lpZJbJ+49gthtajm6tKxLq27686\\u002fQdNl1SH+3CrTIt2PRX+1hcW4ufdvQDEBwsP4VsI0fDduUcXAcegDUiXuDOh0dzzcMWHpx2yEQc9\\u002fo\\u002fFWu2bgV6zZtgaIoWboroOscZcV+7D18cM7z2jSCsM7L\\u002fG3+l4OLilQa2ncrkfzgc6S\\u002f+Bra4uXQlq+Wz6DK8lVQmLQr7ArBKww8FIU6uArF98+Go3r\\u002fTqWSrFETTdcbFi5ZoVPFVqnr2tJYOHrc4Qd\\u002fv6PovpeEXlNTQ2fPns3f\\u002fvjL\\u002fi6X\\u002fVWXyzUpHos2TNprhNElJ7eMSpQiVv8aWn57K3gkJt1mOyOqZxuKzHBP4nJCGVQFx6H7w3nMDKjDBkIZNqjjuQY3wzwhs9u6ofcKIWBwDsEFuBnhphsGlqxci1Ray3kNQoC9hg6Gx+0AAQGlVDZY7M795E0lcQkhHzUH4Vulr5JvvofEu59AX7MePBQBcTlNSYXsvEHPVK2I3Yai266B5+xTtxc+KwCQdFrbuvC75YbN7qpKJhOL40biuMOnTFn7fSX27x2hW9FP8+ev9Kdo4g2vz3dgOBTaNmnvEbrb6ajiXIDm2vFFqyU5fO\\u002fjCP7xARBVBWxK94s6WMjEcuvSF0wJ2MBKOKsPgOOIg+GccSCIx932HN1ojXLbDpElU2nEEkmkNR2GYUA3DKQ1Dam0Dk3Xoes6DC7AOQcXArQbRMsYBaMMqsKgqgpsqgK7qoJQCoVSqKoCh90Gl8ORe\\u002f6ykbHE8ywbhPlVKo3k+58h+d48JOd8Cm3JculKs9sBh23nuLzpbhOJJHzXXILA\\u002f\\u002f3CvJnIOZdmGWqkUulNC75dztxeX79YNPwxdduOOWDUqPD3MYLue0XoQghSWwtSXT2XKt7i+kBR8cnBluC2CaOH6j6Pu8qsnZ7jzVvpn0Bw9v0I3f2YDGG1osK6C0ZlrHhag4gnwIqLYJ+2Dzw\\u002fPgm2g\\u002fYBKytue0+LY+cgbi4E0mkNum4gmUqjJRxBPJmCbhjQdQOabmQIGZAGN2pep1MPQldzJyfQrAYlpQFLdKdEcnnG5EbAGIVdVeFxOeHzuKEqDHabDUpn+nH2s2ZXoQlFkJ7\\u002fNaLPvITkh\\u002fNhbNgs9Xm7TW56O7LBUqnTiHAU3ovPROD234MotNPQWWstxJLJDQu\\u002fXcH8gaLKULDlxWn7jJtVW1vLa2trv1eNIL9vhC7daJ8teqCoqPjy5mBz09jhg1MlRf4qdCWuEwJwA82\\u002fux2Rh5+R2VzWd90BlXZ7EZWNQ5UhA+A65Ug4jzsM9inj297LiurqLIzTHGQ0FseyNRsRjsZAKMniysTcF1r7n2ef3RPu7I7XhUn4MKvJisxYLTjtdgzp3w9lxYHt38Ai4Kzcc23ZaiTeeh+x+tehLV4G6LqUeiyrfXcezDLShaLw\\u002fPRkFN97g9w0Oq\\u002fgJwCQYDiy9utlqx1FxSX9gi1ND02fOvGy75sI\\u002f70h9AyRz1t4lTfgvzscisRGDq4MVpaX9u9UfDU5uUil0fyrPyL2z\\u002f+ABHzdX1iMymYK8QQgAPt+E+D+6SlwnXJka+03q8IMITIBTIgM0WS7gCkhbXRjIQRSmo7N2xqxpbEZmmaAMamr72q31F1FVvEHcC7g9bhQWVaM0oA\\u002fw9WF+b31rNnnEiKflwDIFJQ0iV6kNSRefRfRp19E8r3PAE0DcZl15btjJyEAKIMIhuA67RiUPHijGZqc20hnifHbmoLrlq5e7\\u002fP5fIFwOHTVIftO\\u002fNP3KaDme0Ho1u77wWdf\\u002fcjudr6WSqVIVVlxw7ABleVCCKXTQBgztKvpFzcg+uQLoEX+7sWqW2WhojFAUWCfOh6eC8+A6\\u002fjDZCgsIK3rAhCZKFPSLV2Zm+6nbA0jnkhh\\u002fZZtaGwJwjCESfC7P9o2FwghGQJ3Oe3o368U5SVFYNacmBsZ7SQWPRtCSKMhAQGBkAXwLS7POZIffI7o4\\u002f9C4n8fybx1r8nhu6NOMQbREoLrxyfITDwr8aeTKDpCiLFu07b167dsq7LZ7EimtWMPmTL2ne8LZ+\\u002fzhG4lKMz55MshdqftI0pZldOmrJ0wengpADdyiewWhQiB5t\\u002fcjMij\\u002f2pbrKEzSFYEEUsAQsBx6P7wXDALrhMOb11AZoYVF8JkVK0LPhxNYOHSdVixbgs2NwQRiSahKAwlfjcG9S\\u002fFtEmjUFHqBwDoBgczid3aqEKRKDZsbUJzMAwBAYXRPUbsFoEbnMNhs6F\\u002fv1JUlhWDmVZ2IQQ4l5sQACRTGj5ZtAIr1m1BUzCKVEqD02lHRakfwwaUY8KogfB5WrtBG5xLZkxIh5JSyQ8+R+TR55B8Yy6EprUaMrdH8IyBB0PwnHOaFOMtG0JHYrfWSHzxilWbI\\u002fH0cAi+OQ1t2qGTJq3+PiTB9GlCt5oqnLV8ubo1nPqv2+M+JBmPbZk6fi+nqij+nAUjLHcQAVquvQuRPz8B4t+OuG5ZjlMp8GQKtklj4LvkJ3DPOk7mnAOSgxPSZrEDwMp1W\\u002fHBgqV4\\u002fr+fY8F3a9HYEkE6EgeSqVYlV2GA24l+xT6cduR++M2Fx2Fo\\u002fzIAkgCyjWwA0BKKYP2WBgQjURAQMEp22r2\\u002fPViqgmEYUFUF\\u002fUqKMaCiFDbzudsTeHMohkfr3sUjz8\\u002fB+s1N0GMJIKlJvVxhgNMGu8eJkoAXk\\u002fYajNMOn4rpU0dj5OCKzD0Ng0s1xpK6zA0v8c5HiNz3DyTfnwcwJsN1eRfvDZBZcKEwPD\\u002f7MYrvulbOeY5CFq0prkbLF4uXhVW7c3A8Gv4o4GCH1Y8dq9cCfdo419cJXerln395Z1Fx6W+CLS3BSXuP0D0uZ2mnoa1mxFvozr8iOPs+ycm7InJKAcHBI3Gog6rg+flZ8Jx7mhQjretRJkXQrMCVdz5ZjL+\\u002f9D7efH8RmjY2yCozTMaDU4WCZjUVl\\u002f5uLl1siRT6DSjH5WcfhSvPPho+t1QFuNngMHvj2tYUxPot2xCNJ0EJAWO0x\\u002fV3w+BgjKK8OICqfqVwm6pJq3EOmY3mif+8j7sefxWLv14l3ZKqAspan1XaIjm49awGB3QdgapSHH3wBJx30nQcMW08qLm5yJAGU1S3mloYBmIvvInIfX9HatF3rSW6OpPGzE2SB8MIXHc5\\u002fL+\\u002f1Kxa03F1WGsmnkw1LPh2GQkEikqbGhvvqt5\\u002f8m\\u002fr6gSbNavv6ut9ltAtcerDzxcca3O4X0ml0okRgyobK8pKBiLjLGsHq5DiMy+h6Rc3SCONvFjHG1g50dE4oFB4zj0d\\u002fqsvAqssN68lF4tA1oIE8Nr7C\\u002fGXp\\u002f+LNz\\u002f4CiKeBJx2MJsZkSYsF3OuJAwAkAY5I6UBqTRG7DUY\\u002f3fxSTjnpIPBTHUAoq3+LoTApm1N2LStEYlkCgpjPcLdLVtBaZEPAyrK4HW7MvcDpFHRUkvmfPYtbnnoP3j7g4UAoWAuOwQXXTyr1e9N\\u002fm6kdSCRApx2HDR5JK4+\\u002f3icesTUzDgyG2hWHjqPxhF56ClEHvwnjOagNH52tmFbBs5YAiX318B9zqldxcYLAGhobln13ZoN5Q6b3Z2MJ447ZP9Jb\\u002fZlEb5PEnpNTQ2tra0Vcz9b3M9hIx9Tpgz1OOzrx0j5T815kvlik3M\\u002fRcNZvzJFSZo7bp1RQJN1zOz7TYT\\u002f2svhPPyg1utQKsV0k9sBwLyvVuHGh1\\u002fEa29\\u002fLrmV2wGFUhhc7DCXJaYF3kikAc5x4P5jcN3PT8ax0ycCaOXu1rEAkNY0rN+8DRu3NUli3wXOLoSAy+nAsAGVCJiuRsvPnk3gS9dsxo0P\\u002fQfPvvIheDItK89A6vI7+ryMEuicA4k0QAgOP2QSrv35iZix7xgApgpDqRTns4pwpr9djuAf70fyzfcAm02603Jxd2ujIASlT90D5+HTtpcIoy1ZuW59KJ4YJnRjjY2Tg6ZM2XtLbW0t6Yv93vpkmurYsWMJAaAwfo\\u002fL7R1q6OnNI4cOcKO1HHNbcBmTrS1bhabLrodIa1JfzEnkDCISA+w2BGp+iX6vPCaJPKt6qrXoGaPY1hTGL256Agf9pAavvfkpqN0G6nUBQhrUdobgpE4sq8hQlwOffLoYx118O864+s9Y8O0aueCzxHguBGyqCrfLleHEOwsztRNOuy1D5IAV10PAKMXWpjB+d89zmHLadXi67h1wSkG98t47SuTW8+oGl9KKywHqsOGdOQtw2Hm34Gc1j2PD1ma5uQgBDrRa0A0DtjEjUf7cAyj+yx\\u002fByorBQ+HcLZ+ENPAJXUfzL26AtnSVWVI753wJAOqoIf0DMIz1bq93SJzodxFCxNixY\\u002fskc+xzg86I7F98fYbL5X4uGo1Exo8cGg34vZXowsLOE0k0nHIJUp8uBPF7JNfNhrmQRCQK2\\u002f6TUHTzNbDvN0F+l1XUwcji4s++\\u002fgmuu+\\u002ffWLV0LeBxgjEKbvAeN4xZYruIxOEu8eGCUw\\u002fF7352IqrKAgAsgxnw9bJVCEWi3XJtdQUhBFSmYOr4UWCMZVouByNx\\u002fOuNT3HLo69g\\u002fYr1gMsJpjLwnZBatofMXEYSGDi8P\\u002f545Wk47+RDALR9B9lx7fqaDQhefzdiL78j6+fnCl9WGEQ4Bvt+E1D24l87lrM2YenroUh0w9fLVnvcHk8gGo\\u002fPPGSfcf\\u002fuiy63PsXRa2pqKADM\\u002f\\u002fbbSkroHYlkQvQrLWoO+L1lnZaAMhdC8Pp7kPzoC5lq2p7IzRxnkdbg\\u002fcU5KH\\u002fhYUnkVmkoRjOBLoxRLF+7Baf+6j785Mp7sWr1JjC\\u002fNMwZu4HIASm2CiGg+N2IJdJ44OGX8OYHX5kuL0tn5ognUjsc+poLhBDo3EDYjPSTejLBwu\\u002fW4dLfP4z167aA+T0gjMpn3g0+PmsulYAH6zduw\\u002fm\\u002ffRAn\\u002fOJufLVsXcboyLlojTLUDShDBqD0yXtQfNvvQFwOiFi8o2iuGyA+N5IfL0DwurvaRi1lwTTVCb\\u002fXU1lZWtKYiCeESugd8+Z9U7F48UxhrcW+gj412LFjxxJCCE\\u002fE9Nken3cQEaJh2MD+AQC563+Zulz0qRcR\\u002fVsnvnLGIEIRKAMqUPbk3Si69Rpp2LH0QEKgG9LFRQjBvU+9hf3PuAEvvvQhqMsO6lBh7GjSy07CMDgIAVz9inH4AbIJI6GtPnbd0HuO0A2OloisQGM59vbZezAqBleAKCwT9ba7oRsGqF0Fddrx6mufYPpPb8Q9T74JmHYM3Zr7LFXMe+lZ6Pf8Q7BNGgveEmotgGHB4KABH6J\\u002fr0f0qRc7zWkwu7SyoQMryhRKNrq9nqFpymfPnk14XxPh+wyhW+LS3M+\\u002fOsJmt10YbAnGRgwZkFYY9XLORYcFblpotW+WInj93YDN3tYqa1rVeUsIjh9NQ\\u002fnLj8F5THWrLm6KywbnUBjF+q0tOP2X9+HXNzyGllAUis\\u002fSSfeca5VQApHWMX7UAAzpX9rmu5ZwVAaddEHolk\\u002fc4tBd3gtAPJE0o9zkeX6vC9MmjYRIpkHJnls6lu6v+N0IR+K4uvZxnHL5PVi9qREKozCs5J6sGve2fcah\\u002fMVH4Dn\\u002fdIhwpG3lWGsd2O0IXn83tG+W5SR2q4srpdQ3YugAPRgMhm12288+mv\\u002fNYbNmzTKEEH2GfvrEQK3+1y\\u002fPn+9iBDdRptAiv6eprMhfAYB2yEizXFnxJJr\\u002fcCd4MCzLLWUCy820xlgcvivOQdkz90EZWNmmbrgVH88oxQtvz8fBP74Bz7\\u002f0AZjXBaIorZxkD4JSCiTT+NEB4wCYlmhIK\\u002fz2xHYCWWnGYbfD63ZC0\\u002fROs2EtFSUcjSORTMt7mc87Y\\u002f8xgGb0iOSwo9ANDqIwMI8LL736MaafUYPnXv8EjFLQLDVG5iBwUL8XJQ\\u002fMRtHtv5e5BslUmwKaxKaCt4TQ\\u002fIc75HfSH9j+tgQAKfZ5B5QW+RooUwiHuKnu44+d8jKiT3D2PkHo9fX1dNasWUYJcfzU5\\u002fPtl0zEm4cPrPJAiuydWNkpIg8\\u002fjeTcT0C8nlaRnTFZ4UVRUPxALYpu\\u002fV1rCWNTnzNMUT0UieOKm57AaZffjXWbGsH87oy+3BvgnIO67DhwkmxXJLiM3U6k0ghHY2C0Y8CM5EmAphsoKwpg\\u002fOihGD96GKrKS01Ld27uTgiBputIpFLWBwCAfccNhbMsAF3vGTVhR2EV12B+NzZua8aZv7wPl83+G0LRuHRJWhuwxaE5h\\u002ffnZ6HsqXvAyoplXISltxsGiM+L5NxPEXn46UySUq7bAlCGDaj0pVPJrT6\\u002f78Aqh\\u002fcsQgivr6\\u002fvEzSU94OsqamhM2fO5HPmfVPBIW6IRKNiQL+yqNNh9yOXld0k8tSCbxC+9\\u002fHWwoGAJPJYDKykCGX\\u002f\\u002fBM8Pz2lVYwziUQ3ZJbYV8vW47ALbsGf\\u002f\\u002foSiKqC2PecLp4LlBLwZBpVg\\u002fphyt6Dzc\\u002fk60skUzCMjlyWEAKDc4AAwwZWYsyIwbCrKhilGDmkP0YNHgDKGHQ9B4c2JZrGliAAM\\u002fpNCEwYNQjDB\\u002fcDkuluJensLmTcjw4bHnr8NVSfezMWLFkLxih0w5AbHqWZxhaOw6eh\\u002fMVHoI4ZCR6OtCF26nYhfM\\u002fjSH25uDNiJwCE3WYr7t+vNBoOhwUBueHtr77qt3jx4j5hmMv7AZoGOMGY8cuAP9CfUbp1QGVZEQDWQWwSAoCASKURvP4e8HBUhp4CksjDEaijhqG8\\u002fkE4qg9o3QBIa7VUhTH8550v8KPzbsaCBcvBinzymntQF88FAgJoOiaMGICKskAbfbyhOdTBekyIFNWdDjvGjRyKgZXlbaRSAaCirBgTRg+F3+uGrrctgmodGo0nzSxbKRo77Cr2Gz\\u002fcjEPvXQjTrceKvFi4cDmOPP9m\\u002fPu\\u002fn0NhrG06L5OqmrrXcJTX\\u002fwXOGQeCB0OtxK4q4KEIQjfcIyvMZuXcZ+4lQACwARWlZQplG30+\\u002f0BHGpfPnj27Txjm8prQa2pq6KxZs\\u002fgH878ZpCjKpaFQKDmksh9XGPN0mrBCKWJPvYDkB5+DeFvLAItwBPZpU+WuPn606RuX1tjsSLPbHn0Fp19+NxqawmAeBwzD6JV00PYQZiFGy9oOtNJ2LJEwEz0tCVtA1zkqSosxca\\u002fh8Hvd5kbWej0Zey7gdjoxbtRQDKwoz1jSrbmglCKV1hCOxrLGARw1bTyEGf7b2xAADMMA8zjRFIzix1f+CbUPvgCgNeMOgNm7nYNV9UPZM\\u002ffB\\u002feMTTIs8Bbh0uSXe+wyxZ1\\u002fOxFRkw4qiZZR5hw+q0oOhUJwy5Rcff\\u002fll\\u002f1mzZhn5ztXzenDmTikA42qn0+23q0qwrMTvB9CxppfpUzU2b0Po3r+DOmytkWzBMBzVB6DsyXtkrHq7ABhKKRqDUcy86n784ZYnYVAKald6VVRvDy4EoDIclkXoABAMR5FKa5miFdIFRzFqyACMHjoQqqJk8uHbw\\u002fqMUYqhAysxZvgQ2FRVuunM7zVNRzgeN0+QG8SBE0fCHfBA5NH8GAYHtSkwFIbZdz6D06+6H03hGCilre\\u002fRNNIRlxOlD94I74WzwFvCJmEDxG5D+J7HYGxpzEnsJkix31vqtCmNLreryDDY1UBmreYt8pbQhRB05syZ\\u002fMPPloxWbbazo9FIelBluc4Yc+cOjpEvJXTXo9DXbgAcdoBQ8GAYzqMPQemTd8sWvDmi3NZsasTxF9+Ofz\\u002f\\u002fHpjPBULpHnWbbQ+UEiCZxri9hmDkoH4AWh8+lkhkdGxN1+H1uDBh9DBUZNWny2TJARmXYK41XFLkw8TRw1Ds80Mz1RpKCaLRhHSzmRF4FaV+HDR5FEQ81SYlt7dhuQ2Zz43nn38PJ1x8B9ZsagRjtJ2RTgCqiuL7auC77KcQLWG5iTnt0FavR\\u002fjuv5oX7Kirmx4Jz5D+lXokHEmpinruJwsWj5w5cybPZ3db3g4MAAghAkS71OV0FzntakN5cVGJyFSGyYLpI03NW4jYMy+ZmUyACIbhPvFHKHn8DlC\\u002fz7Ssy0e2jG6ffLUCh513E+bN\\u002fw5KwLvbIr12BYQQIK1j5pH7wu20ywAe03gYjsYBIhd5VXkpxo8aBo\\u002fL2YGQszPfJPc3P8uCEAJ2uw1jRw7B0AEVmXkIRmOZzcTgBlSF4dQj9jVtG\\u002fkVR23lCSgBLz6Z9y1mnHsTPvtmVcZIB8AsJCn18KLbfw\\u002fvledJzi4EqNeD6NMvIZ0xzOWUWkRJka+f02Hb7PJ4igURF+d7rnpeErpZbpd\\u002f+MWSKsLoeS3NLdrAinICCocgROQ09hoGwvf\\u002fHSKWALHZwENhOI46BCUP3yyLPWYFTOgGh8IY3v5kMU68+A6sXrUZzOdqXQh5BEIIeFqHr6IEZx0\\u002fzfxMfqfpBpqCYdhVFaOHDsDIwf2liy3rGKDVXUgIcMffXsMtj75s1l8gbeIBWjPigEGV\\u002fTBmxGA4HXYkUynEk9LNZgXKnHbEvug\\u002ftAIipeUsz9Tb0A0DzO\\u002fCmtWbccLFd+DtTxZDYUx6IYA2Yy665bfw\\u002fvwn4M0y3kJE4wjf\\u002f0RO0T1L73cNruyHlpamlODiojnz5lUQQkS++tXzktAt36QgxoVOl9vvcNpaSouKpG4u2rvTJAEnP5yPxP8+Agn4YLSE4Dh4X5Q+dps0yHUgcorn356Pk39xNxqbI2BuBww9f\\u002fTNbFBCIBIpzDxqPwwfWA5Zl14+SyQWh8\\u002fjwqS9h6OsOJAxjbUWtGhVTzY3BnH6L+\\u002fD7256Atfe\\u002fCROufwerN\\u002fanIksay\\u002fFCAEU+byYOHo4yor92NrYLK9tSg9lRV6cf\\u002fIhEKnU9uu89xIMnYO5HdjWGMJJl92F59+eD0Zp6+ZmEbsQKLrt9\\u002fCccwqMpiCo34v463OQ\\u002fPiL1r7zWSByRySlxf5Sl92+zeX2BOyq5wIAAnnqV8+7QQlpaTc++OCrIipwbjKZ4APLS1OUwi1EDuZhmp4jD\\u002fwjE+1m32csSh+\\u002fXca2ZxG5YRJ53X8\\u002fw9lXPYBYPAnqsOWV0S0bhADCMOAKeHDFT46UVVfQutO5nA6MHz0MDru9gwhtFWlkjOLDBUtR\\u002fdM\\u002f4vmX3gfzOKH4PXjp1Y9wyJm1+N8n37Qp7Njm3gBUVcHYEUNRUV5ifi7to0IAF55WjZKqMvC03qs+9a5gGBzUYUM8kcLZVz2A59+eDyVbjLekGIWh+O5r4TrxR+DRGKBriDzwhDym3UaW5brzVFWU6YlkQuecn\\u002f+\\u002f+Sv9JE8t8Hk3oHrTesnc9ESPzzscgjeXFgf8gFQJ2xxsyMy0xFvvS3caJWADq1D6tztaretZnJwximff+AQ\\u002fueoBJDQd1K7uVP70ngKlFDyWxGnHHogJowe1KfoAAE67LUNg7UV1q3jFPU++icMvuBXLVm4CC3hgcG6KtR6s2dCAY352O258+D8wuFUzLUuUzxqLz6wwkxmX4BhSVYqLZs6ASKQyyTX5CM45qE1FQtNx5lUPoO6tz6Aw1pazm9b4kj\\u002fPhm3fCYAQSL43D4l3P87Ez2fD0snLiwMBIniDz+8f4WTJE4D8tMDnHaHPmjlTzqjAxbFYDP2Ki5OqqnSs5mqyd2EYiD7xvOyR5vOi9NFboQwdaPrPTSLXJSd\\u002fee6XOP+ah+QurzJZuyxPQQgB1w04irz4\\u002fYXHt6lH1xUMLje0lnAcZ13zEK6ufRxpTQd12tqoJ5LTqTAgcMNt\\u002f8Ssq+7HtpaIabTKkcnV7m9LV\\u002f\\u002fV2UehdGA\\u002f8FTu3m75As7lO9c0Def99i945b2FJmfPssYbHLTIj9LHbocybDB4cwtiT72YWWvtdHYCQCiM+fqVlcQj0ShgGJcAwExrDecR8orQ6+rqGAgRHyz69gBQOlVPp9MVZUUqgBwtO2W2kvblt0jOkfHsxffeAPu+E9qUCNINDkWheOvjr3HWr+9HStNBVSWv3Ge5QCmFiCbwszMOw5jh\\u002fbvVQ83gHIxSfLtqE448\\u002f2Y8U\\u002fc2mMfZqbtQuqMoFL8bL770IY449yYs\\u002fG4dFNbx+Fwak8EFKkoD+PXZR0Ek03nN1QH5vNSmIpHS8NOrH8Dc+UukjSLbz25wKIOqUPrXW8EqK5B4Y66Z3UY6i4NnlaXFDsPQ4pSxfT9a8PW+hBBRV1fXaY2q3kBeEXoGmj7L6\\u002fPa\\u002fD7PJpfTUWJ+2l5RAgBEn3wBxrYmBK6\\u002fQtZXzyJybqaYfv7NavzkqgdktdQ8F9cB6QITyTQGDKvC7y84PlNYsjNYaZyMUjz\\u002fv88x\\u002fazZmL9wOZjfs92adVYZJ+b34Ktv16D6nD\\u002fi6dc+zqSmdrUhUvP8K846EqPHD5d+9XwndoODOVSEIzGc8esH8NWy9bKaTXbmm2HAts9YFN9zHYzmICJPPC+\\u002f67jREgBw2G3lAa9nvdfntxNBZu25p+k+8uatWB0sP\\u002f74m2LhEN9wkMCoQVWR8pKiUqBdVVfTwKavWY9N+50C13EzUPr3O02dnJhhrTKPet3mJhx23s1YuXIjqNuR1+K6BcYojHAMD95+GS6ddVjb0kntkN0d9qZH\\u002foMb7quHMA1QO\\u002fqslFHwlAYIgf+77FTcdOVMU33lnZansqSIF9+ej1MvvRPUYe\\u002fgn89HUEbBowmM2msQ5vz9WlSVF7WVmkyGEbzubkQe+xcq578EZUBl27x2CQFANLQENy9dtTEAiJDO9LEzJk8O5lNX1nzi6AQAuF3McDhdlSqjqSK\\u002fV0GOMVrrKPrEC1Aqy1B8z\\u002fWtepRJ5IQQxJNpzLrqfqxctg6Kx9kniJwyCiOSwLSDJ+KCkw9pQ8jtoZuNDkLRBM76zZ9x\\u002fW3\\u002fBKFUSi078azcDCNlNhW3\\u002fOlfOP2X96LZDCPtLP+eEskNT\\u002fnRVJxw9AHg0UReRct1Bm5wKF4Xli1ejZ9c8yBSac3MZcmqWcA5An\\u002f8NWwTRiP6pIyf7yQslhb7vKqqkITL7apycPUQtGdOvYy8eSP19fUEAAghswzDEAGvJ6wqSnGHcFchQBgFj8SQfP8zlDxyC2iRL6Ozy0NkAsfFtX\\u002fDvE++AfO5obevE5eHIISAaAbcfhfu+8PZsNuUzOftYcUDrFi\\u002fDUdceCueqX8XzOcGJ9gl+wPnAgYEmN+NF176AIeccyO+NPX2XAFF2UO793dnobSyBDyl5a27LRu6Lr0P7839Elfc+k+ZCmzNnck0QCmKH6iF9tV34JFoawXaVhAAgjFWXuT3Nem6IQTEjwGI+gKht4WZpWa8\\u002ffGX\\u002fTk3pmuaRsqLA7nrs5uTnJz7KVzHHwb7AZNbK8Og1ep81z\\u002fewNP\\u002fehuK35O3fvL2oJTAiCdx7S9Ox5QxQ8xa5h3XihUP8OlXK3DUBbfg88+\\u002fg1Ikw3d7JKHMCrQJeLH461U49qLb8NbHX0NhLOcmYhHIsAHluPXqH0P0UgWanYFhcDCfG48+8ToeqZ9j6utZbjfDgDp6OFynHoXUZ4vk5+2mQAhBhBDoVxpw6JomdC4O+eSrr\\u002frNIiRvfOp5MYjq6moKAE67fbrXF6iEEBu9Hlcg58GEQOgGRCIJ78\\u002fPyqSmAq364gdfLMV1dz8L6nLAyHPrugXGKIxIHNMOmYjfnHdMTit7proKo3j29U9w5AW3YtWaLVC8Tui7IbLPSv\\u002fc0tCCky65E4\\u002f+e26rka5DGqf0wV9w6qE46bgDYYSjmRbK+Q4BAWK34de3PIn5i1fLjLfs9FYh4D7tGFCXs1VFzAIhRBBC4HW5iinBan8g0F9P41CgdW33NvJiENXV1aZMyI\\u002fRdR3lJQG7whjrUObI8p2nUnAefYhsUWyKWFZ21bamMM679q9IJdOyhncfMAwRItswlVSU4LHZF0E1CST72bk5F4xS3Pm31\\u002fCTX9+PSCwJaia57C4YBge1q0hxjov\\u002f8DD+7946WC2gs7m7lHLl53+59hwMHDEAejwJsos15vcEOBcgNgWJcAw\\u002fu+FxhKOJtoUrCAEYk9Ijz5nFQwCAUmorKw44NE2DwuiRQPba7l3kw1uQ1vZ165wC\\u002fIhoJJzyez0pADbeoQCaWRDB7QL1edvoSpYB7pp7\\u002f4VVS9ZAcfUNCzshBFQIUCHwyB8vwl5DKzNJKBasjqqptI7Lb34C19z0D1BVkUE\\u002fO+gqtLLXdgScC2nkc9hw6711OOu3D0pXJSWtnA+tpav69yvGE7dcApvdBmIYfUJf5waH4nFi4fwlqHnwxQ4bGQCT4DvzfnABwB7welKRSDhhcHH0nNWrHabVvdcnoNcJ3cr2IVtD+xPKKu02O\\u002fF7ZPdD0lUERlaKliXO1r81D0\\u002f86x1QnzsvM9FygVECIxLHtVeejtN+NLWDK81SRxpaIjj5invwl0dfBvE4My2adwSUEPBEGjyR3uGEMyEEuGmke6b+XRxzyR1Yb7ZKyiZ2ZhZ6mLHfGNx+zVngsWSfIHTAlF68Lvz5H6\\u002fj3U+\\u002fbauvbweW+zHgc7udDjsnhPS3N0anAPlRKbbXCX3u3LkUAAyKIx0Oh3A6bJttqloMbCf70fyOcymyN4di+O3dz5nf9fq8dguKQqGHYjjxxINxw89PzvQFt6AbksjXbW7CsT+7HW++9RkUvxfYiRZIlFLwSBw\\u002fPnk6zjzlYIhEWtah25G5Mo10it+DDz\\u002f8CsdeeCuWrtmSIe7We0l9\\u002fVdnH4XzzjoSejgKpfNmhnkDAYBQCj2dxq\\u002fvfBqxRAoA6e5cyxwNxsodNtt6h9MpoOAooHWN9yZ6dQBCCFJdXW3MmTNHERAHEEJIaZFfpkd1\\u002fyoghGD2Qy9g7bL1oE573ke+AQBTGPRQHPvtPwZP3vpzKIxlykEByDSO+PK7tZhx7k2Yv2AplICUVHbU6qAwCh6K4YzTZ+CpW3+O2stOxBknT4NIpsGw4\\u002fuibhhQfB58s2QtZpx7I9774rs2VVyshBouBB68\\u002fjwc\\u002fqN9oYeiYEqvr\\u002fftwuAcituJrxYsxZ+f\\u002fl\\u002fmOXYAorw4QEEI4RwH1tTU0OrqaqO3uXpvzzwhhAhv2aAqAjIhEokkfB5XGcySPduDFbG1YMkaPPzM26BuR17VMesMloV91F6DUX\\u002fvL+H3OGFkGR4tTj7n829x3EW3YdXKTWBe905Z1hmVUsMZM2fgyVsvAWMUkVgSvzn3SPzktINhJFIgguywEqkbBpjHhc2bmnDyJXfi5TkLOhA7ADgdNjx9+6WYOGUUjHC8T3B2g0sr\\u002fG1\\u002fewVrNze29qbfDsw1S31ed3k4HI5AYOIxp55alQ96eq8Sen29fPiklh7u9fpKVEVpcthsMaA1DbAryAqgHLMf+g\\u002fSkTiIwvKgLmnXYAqFEUtg0JBKvPTg1RhUWSLj1C1ObvrI\\u002fzNnAU74+V3YvK0FzOOEsRM2ByuU9senz8Azd1wGm6pI6z2ARErDVWcfgTNPORg8mZJ69A4uRcMwwFx2BCMJnHblvfjHSx\\u002fIe3KeqWDDOUe\\u002fEj9e\\u002fvPV2GvvIdAjMbA8J3YhBKjdhuCmRtz22KuZz7YHa83abWrCZbNt8\\u002fp9Zdwgw4HWtd5b6FVCnznTpEuhH6gZOvweV0BVFZ\\u002f5dZcTYxmp5nz2LV57ax5oHwhxZYzCiCYxaEA5Xn3kt60W9nbNI5565SOc+ct7ETPdZztD5JQQGKEYZp0+A\\u002f+45RIzy1JkmkUKCKTSGq4+90iccfLBMOIp7ExUtnS\\u002fyRZVF\\u002f3+YfzluXckBzRr71k+6UGVJXjtr9dg9OhBMCLxvCd22RXHiadeeA\\u002ffLN+Q2bS2AwIACmN+r8ft13UDIGx\\u002fIGut9xJ6ldBra2sBAASYnkwk4HI5QwBs3YnvsnqC3\\u002fb4azA0I0dVivwCYxRGPImKylL85+FrMH7EgIy3AJB+coUx\\u002fPnZt3HONQ8iqRmgtp2LWSeEgKfSOOP0GXj6tkthtylmCAJpe4wQSKY1\\u002fOa8IzHr5GmAwbHjQrxpEFUYDEpw+Q2P4tZHXzFbG5t93Mw02WH9y\\u002fDSw7\\u002fFsJEDYETjeR0TL4QAURliLRHc\\u002feQbMjy5G8YM083mcjvtLbFYFJzzaqB1rfcWenOmyezZs\\u002fmyZcvsQpCxQgh4nc5UdwZl+Zn\\u002f+\\u002fHXePfDRSAuO4TIX27OGIMRT6KqsgSvPvJbTN5rUEYiyXBySnH7317FFTWPgVIKquy4jxww89hTaQweXImHa86HotAO1nwLVlBIWtNw9blHYNjQCohUeqdqwHHOQSgFs9vwf7c9hev\\u002f\\u002fO9MaKzVkdUwOEYPrsDrj\\u002fwWw4f1hxFL5jVn51yAuOyof\\u002f1TfLN8QyZhqmvI1evzuGQ1TYKxQghl9uzZvbpAe43QLZ1na0wbwblRpDAGr8dZYX7d5Uqz2gP95bm3IZIpUJN75CMYozBiSVT1K8FLD\\u002f1WxrCbhA3ImB+FMdzy6Mv4\\u002fS1PyiqkO27pzYAAgG6gtMgLv8cpiawLzkkIga5z2FQFXpejs\\u002fLG3YL0tQPU5cBNdz+HP\\u002fypLsO1ZS8NmQU3ekglXnv0dxg6pCKvObsQAlRVEGsM4qG6d8xF2fV7oVQe5nE5BzBKDc550cdfLB1hXq\\u002fX9PRem+F6897MMEapqs1NCBoUxmzbO89K2\\u002fzyuzV4bc4CEK8rb5NWpLieQlm\\u002fIjz\\u002f4NWYOnaoGRDDMoZESglu+utLuPb2p8Gc9kw4706DABACdpuSEc+3u7qsMlU9sFvKApaA4nXhtvvrcfVdz5rjkDq7VXV29JAKvPTwbzFwcAWMWCJvXW+Sqzvw3KufYMOW5ow9ZXtQKHUplG1QFZtXEH0U0LrmewO9duNhX3xhlnSmozxeL3HY7c2UUn1751mT\\u002fOCzb5tRV\\u002fm5QCijMBIplJX48NKDV+OACcMzBSqFkKIuYxS1f3kB19\\u002f2T+n\\u002f735wRucQ8p\\u002ff65R\\u002fdvtysoFiT3iBhBDQhQDzunDPn5\\u002fHVXc8baoprTq7YRgYP2IAXn\\u002fkGgwe2A9GNNml5NFbsLh685ZG\\u002fOM\\u002f7wPoZhowpbrTYWv2er0gQowCWtd8b6DXbvzKK68YACCIGGUYBvxuZxFkv\\u002fNOwbksX7xuSxNefX8hYFPzotFfe1BGwRNplBb78MJDv8GBE0dk3GYAMmWfah98AbPvfhbU7ZT02VP6ByEo9nvkrztwWsDr6jlvr5AGRuZz4U8Pvojf3v1sm+ATZjZTGDdyAF586LeorCoFj+cnsQMAGMPTr3+CWCJlZvBt9wzF63X5DSFAKB0JAFOmTOm1uOxemVUhBJk9ezYXQjBCyKBEPA6X0xEAoGyvvhkAvPzuAmxbuwXMYcu7Io+UUvCkBr\\u002ffjboHfo2DJ4\\u002fKxK8LYRY7YBR3\\u002fP01zL7nX2A9TeQAQIASk9C7d7i0eVSU+loLuvcAhBAwBKD43Ljrzy\\u002fg2vvrM9y8lbNzTN5rEF5+6DcoKysCT6TyjtgNzsFcdiz7dg3e+GBRJnmnM5jvUnU7nSWRcAiAGCJqBCWE8N7S03t1RufNW+4GF4OSyaSmKkoEAEQXgTKSWASeeuUjEEXJuxRUQgmEpsPtsOGZe67AjH33zojrgFmsUmG4759v4Xc3PwnisIGjZ4lc1uNp5ejd5dBCCPQr8fd8noAQMIQA9Tpxy711mP3gi9JGkeHskvCnjh2K+gd+hYDPDZ7UOq1R12sgBNww8NwbnwJAl0Uwhdkg0KawqJZOx7gQgxbPXOzq9IQ9gF6ZzdraWgIAKSXsFoQMYAqLKaqS7uoci3N\\u002fsXgNvvhmFYRdhcijmHZCCIjBwSjB47dfimOnT8yUewJaWyM99K938asb\\u002fwHqUNvmPPcYZM5+kd+9A4OXG0Sx3535vUdHJGRnF+Z2ovbu53Dn319r086Ymc0UDp2yF5760xVwOGzgmp5XVWo454DTjjc\\u002f\\u002fArrtzR1690pjKWZosRAMCjCnTvwQnoevUXo8ubMWWy32V02ReF2sxxJZwPipp\\u002f8X29+KiOr8ijclRACIgS4buAvsy\\u002fEGUfvn0lKAVo7tz735jxcUfu4DNUl3Yuf3mGYUdXFJqHnJJVcHwrA53Hutsw\\u002fIQQMANRpxzW3PoVHn5\\u002fbpsOpVV\\u002f9+OmT8Pitl4ARAsJ53hC7EABVGGLNYdS99RkAdBrnYEkjNlVlqsK4w+5wQYsXA0BtL8W896p8xLgYyIWATVUcCmOdKpXCjBqLJVJ4Z963Mvk\\u002fb6jcjOmOJ3H773+Ki0+fAd0wMi8707n108W46PcPgQMgrHsuml0ZVEZ078a6kumCAm7ndr2buwYhIAhAVIYrah\\u002fHS3MWyA6nJrFbhP+TYw\\u002fE\\u002fTXng6d1mBVDd++4uglqtmZ684Ov2rzjzqCqitumKE4uABA2AABq98A4c6FXCN2q+EoZKROCQ2HMThl1mmu\\u002fw1u1ON\\u002fiFRvx9eLVIC5Hl8aQPQmFUhihKK6+7FRcc\\u002f5xpk7OQCCzoGSq6Tr85OoHEEukQHZzl5hWHX3HJUWbajk9duP4hABhDCndwNnXPIgPFiwDyyo6afVEu+yMw3Hjb88EjyXA8oPOZf1BtwOfLVqOleu2ZrdQbg9rxD5FVRnnBgR42R4cagf0KkfngpQAAGU0jm5oh\\u002f\\u002f9+GvoZgmjfIDCGPSWKM496yjc9ZszpfuPkgyRM0qwemMDTrviHjRsbZFNFfbEBkUJinwmoe\\u002fAVO2pabVaI0WCUfz4V\\u002fdi6dotbcpSWRlw1118Ei6\\u002f6AQYoVhGDepNCCHAFIbwtma8N38pumqgY1neKSURIQACXgq0Mrk9jV4uPMFLAQJKSKSr46xSRK+\\u002fvwhQ86PgI2MMeiiK4447EH+dfaEcE2mNH6cUiMZTOOOqB7B6xUYwz+6vYUcACM5hd9rhdth36FwrRFWxq9gTaQPc4GBuOzZtbMTMX96L5lA0k\\u002fdN0BrmfP\\u002f\\u002fnYMzTp8BPZgfhSuEAIii4PUPFnar8aVKaVgGK5LSPTPC3OidmZs5EwAgIEoJARTKUp0dalU\\u002fXbupEUtWbwJkcdhehUw3jWPyvnvhqdsvhU2ViRmUtJZCFhy44PpH8fln34L5XG06me42yP5J8HtdmTF1l31wzmG3KTJoZg8ZwQydg3mc+HrRCpz7f3+FphuZ6DmZTivH\\u002f9iNP8NB0yfCCPV+XLwQAoIxfPb1KrSEY5l33h5WbrrClKTMrDQJ3Vz7exq9MmvWoxIBLwEBU1mnEUMWF\\u002fxwwVIEG4MgqoLetMTJ0NY0KgeV45k7f4Ein1tmbpmEIcV3ipoHX0D983Oh+Nx7LBafAAAX8HtcWfp2987kQsBlt6G8xGemq+4ZGAaH4nPj1dc+xu\\u002f\\u002f9C+wrOg5Swf2uOx45o7LMHzUQBh5ED1HbAq2NQTxyaIVANCl94QyahBp7fQCrWt\\u002fT6OXZ4zYLat154fI7z7\\u002fZjUQT2UizHoDlBCItA6ny47n7rocew1pLRwBtPrKn3rlI9x8Xx2Yx7VnG0hI4wD8XidU2w4QOpEblN2uSiOewfeopdvgXMbFP\\u002fQfPFz3bpvKslbhisFVpXjunssRKPKBp\\u002fReC6ix9HQjFMUXi1fLz7p4x4wRAASCiB3TpXoYvaujc9iAzuuMCyFj2zVdx8KlawG72mudOi1fOeEcj958CQ6Zsle7qDc51i++XYPLah+HUBRw0sOhrdsbI4jk6F4X7Kqa+TTXke3\\u002fMt2c8LmdAO9GxlsPQghIt6NDxa9vfgIfL1xuFqswjXNmcM3UscPwxB2XQSEAjF5s+yQNGljw7Rr53hXaafYQIdIDIwh+eIQ+d+5c+YYIbIQAjOR2oFhT19AcwZdL1gJ2W5e75+4EowRGLIkbfj0LZx13YJuoN2lHAMLRBC669q+IBmNgai+E6BJIHd3j2mErtRACKmNwu2yA4Hs8rMPKEkvGk\\u002fjZ9Y+iKRjNpNkCVqgsx4nVk3HL784CT6Qydfb2NDgXgMOGL5asQTASA0Hn1Y0olYYGKoQDyFr7exi9bMbkdjkLyF1mxJy95Wu3INwU3gOBJrkhLewxnHrydFz3s5OkiJ4lOgrTYHj5LU9i4YKlYJ7e8fNLjs4zKaqye003Tzat7g6bKjvW7r5hdgrD4GAuB779aiV+cdMTHcJMrfbNvzn3GJz7kyOhh2K9UlWWCwGiMKzf0IDNDUEAnacDM0pMhytyNw3dQ+h9f0UXsFJQFy5dJxdfL6w+y8I+YfIoPDb7QjBGzfrr8nsr5fTB597BU8+9Deb39F5deSmDw++xctG7vykKyKQcpZejDjnnYH4P\\u002fvX8XNz\\u002f9H\\u002fbiPCyI5Kc+L9cew4OmDYOejjWK8Y5QgigG3JtAuh00oQgAgIENAwA1dXVvTK7vaujA2lAQBideG7NKflyydqdLly4K6CEQKQ0lPUrwlN3XIoin1vW\\u002fM6ysFNKsXjlRlxz59MyIMZM4OgNSKu7FN2Brq3Buc8XvR6MJMw8duq04\\u002fd3PYuF362Tqb88yxIvBNxOO5649eeoGlgOkdT2\\u002fLjNcNivl63LjDsXuNl4lkN06kLeE+gVQrd2NUJoSkYX5Va8rQ\\u002fXb24yIxX22BCzOLbAX2ZfiAkjB5oFHc3KYUIWPUylNVx+0z8Qa4mA9IZengUhAKgKAr6dy4jkQsDlsMkutD07tB2CVYE1EYriylufRDKlZeYbQMYqP2pwBf5688WgTBohe8M4ZxhdzxQX4GZG4Q+P0C0IztOA2K4LyrW7ky1ygJm9yq66+ETMPGK\\u002fDnq5ZWX\\u002fy3NvY+7cL8HyoHYdFxxQFfi9ktB3ZN0TInXkkoAHsO\\u002feePzuwDA4FK8LH7y3EPf+8y2z4WHrmJiprx83fSKuvfw08GiiyxzxnodkPG6XaUzv5NaCG4AAhEAKAOr31PDaoVcJnRCSkiWHchOINXcus2jinmIzlDHokQQOPnQibrridClKZhO56fb7auk63HD\\u002fv0Gcjl7v90ZMXzhUJaOj74iqQ0CgGxzlRV4odhsE572eNGYYHMTlwI0PvoCvlq2XxJ4lMcmYeIHrLj4JRxy5L\\u002fTwnu8C47B1zYR0g0sdnZiiey9Reu9kr5k\\u002fCUFYVkM1unw7Prdz9w\\u002fKBKUEPJlCSWUx\\u002fnbjz+C0q2bzA\\u002fm9FaKp6QauuutZxJpCoGrvh+UCAIQAsynwmTr6jqg6Fkcv8rszlvdebhcm2zqpDPHmMK6+8xkzRLbVBkLMf6rC8GjthagaUgkjkdpzwTSEZDwcncHgXAEAIqQxrrcovXc4er18WALSKImmk6ghc52VFnkBuoc6sZhVVB+64QKMHFTRRi8HpPTBKEXdm\\u002fPwzrtfgO3BENeuIcs121UFgZ3g6IAMN\\u002fW6nTJOPk9q8RkGB\\u002fO58fa7C\\u002fDs65+YiS\\u002ftWjRzgcFVpXik9gKZgrcndl0BgJBMbb72M23VhjN03S6EAIVo3P2D6hy9bHUXjYAA54a3q+NKi7wmS929L5AxCh6O4YIzD8fMo\\u002fZrE94KtCZbNAWjuOEvzwPdrPG9x2BGt+2Mjg4iQzldDpv0TefRcwkhACar5jYFox0SSZjZBeb4QyfjinOPAQ\\u002fH9kzyCwGKA+7WP3JANwyfEIAgtGn3D6hz9E5Sy8yZAgCEoE0QAOcip6xp\\u002fdWvxGeVQdltoJSCJ1IYNWYIbvvVGTLYhLblidy07N71xOtYtWQtmMve60arNuACNpuaca\\u002ftCAhkGKrDxsz47PwB5wLMacPq79bhjr+\\u002flklhzYbV\\u002funGy0\\u002fDuEkjYcR2b90Cq8BHRWkg5\\u002femByBlcO6lhEAQvRFoXft7Gr3K0SlEIyEEhqFrAFJWx89WyBc1qKIE6CLMsEfABUAp7rvuXJQVeTPcO\\u002fO1aWX\\u002fetl6PPDEG6Du3jfAZYMApujOMnrjjrqbhJDZeWR3VIjcRXDOQdwO\\u002fOWpN7Fo6boOVnhCCAQB\\u002fF4XHqw5HzaXXcZe7AZaJ4RAcA6n19VZgQ9rYFHdMAw5p\\u002faGnh9J99G7hE5s6wglSGl6MpVOR4HWPN5s9O9XLNNTd5M4SRkFj8Vx5fnH4uhpE2Dw3P3KOBe47oF\\u002fS5+5kicGuGwIAafdBrtN3aWx5UOBh\\u002fbIFGdsieD6P\\u002f87pyTFzHrr0\\u002fcZjd\\u002f+7ETZEGJ3GeZ0AxWlfjjt0uqeaz\\u002fRdD2WTuspXdeEsOlbgd7rqtqrVWCJLd2cTqXiusGR1nUdkOKjBWs39rodKC31Q+yGjCVKCXg8hZFjh+LGy08zOXnbF2dw2SPtnXmL8dr\\u002fPgdzu\\u002fKvF7up2rTWiuuc0kmnX8sY94Dblfk9n2AYHMzjwuv\\u002f+xxvf\\u002fpNm\\u002fJTFqgZOXftxSe2ivA9rIpQM\\u002fx1QL9ieFwd7ciWpJfWDF03DKrrRoNCSBQAamtrfziiu\\u002fWwIhqNC2C9rhsuXeOdJlB73U4M7V8G6EaPimLEUkwJcOfVZ8LrdmYSVLJBTZ3wj4+8BEPTIfaUB2BHIQSK\\u002fV3aNbcLQgkqy\\u002f17PBKxuxCUwNAM\\u002fPHhl8A571DLwGoW6bTbcNdvfgKmMJAeTrslhACagSFVpbBZ0ZA5FqampW26brgYoeuLFCXag0PYYfSqjLZu\\u002f\\u002f1jjJJ1drtd1XTdBwAku2UNkT2unHYVQ\\u002fuXAlrPcnRKpcg+66TpOGnGPjDMHt\\u002fZMMzqMf\\u002f+72f48KOvQV35pZu3QurVVuOGndmIBOSm1q\\u002fUl3c6ugVucFCXAx99\\u002fA3q3vosZ3skqznEUdPG4+zTZ8CIxHs08YWY+fCDKksAmIE9bb6Xi1TTdI\\u002fNbnMRStaOGjUqBfTe3tkrhE4IETU1NXQWIYbgWOd0ORFPpaIAjGxClgVTZJWp4YP6AbreZTWaHRwDeEpDaf8y3HHVjzOfZV9dCAECgmg8idsef8VsKNAjt+9xmBH4raL7TlI6IQRlAU9eudfaQ9aSE7j9sVcRiSVlPni78RLT4n7LL09H5ZBK8KTWI0xCrkkOuBwYOaiidUBtxkcAIJ1Ia80+nx9C8LUAIIRg6KLl2O5Er3H0E044gQGAgLFMYQyRaLwJQKe14\\u002fYaWgU4HdB7iJsSAohUGtdecjIGV5ZIn3m7FyZDXwnq35yHL+cvBfU492xpqB2FAIp9u9b5hwAysk7saMDNnoPBBajbgYULlqLuzXlturRaoCanrywrwnWXngKR1nqGSRACrhtw+FzYa2il9VEu6OFINGRwA0KIZQAwtxeVoV4j9FVTpnAAIJQsi0YiiCeTAc55h\\u002fFY\\u002fc\\u002f3HlYFp98N0QPiO6MUIpHCmIkjcfHMGRmCznXvlKbjrqfelBld+UzkBFJHD8hIrZ1tJ00IgdvZq1WPugXBBaAy3PXk60ik0qCEdnhiy7ZywSmHYNLU0eDxZJvEpJ0BAQCdo8jrxl7Dqsz75LwmiydTRZFwSHCI5QDQUF\\u002ffawuo1wh9pmlgNwRdpmlaRAiU6jly\\u002fiwCHDO8CqUBD2AYu7wvcsh46dpLT4bLYctpgNMNafirf3Mevv16FajT1mv16nYEu8rRAcCuMuStkm6CCwHqsOG7xWtQ\\u002f9ZnmVj9bBBCICDgsKmovexUCLLjOfodQABwjuGD+sHvdZlrp+Nhmm7EDS4GgCNoU7AUAGbOnNlrxp1eI3SLsIptWMEYbeGcI5ZIbjW\\u002fbvM2hBBwOewYP3LgLpciZpRCRBOYcegknPKjqXLBtHtTVu9uTdfxwLP\\u002fM0sr5acY2wZCyDRTYJfoNN8i4zoDMeP7H3jmv0hpOhjtqKtb7rYTqyfjqMOnQkQTu8TVCWTBiYMmjQDQ0ZTBuZz5WDy+0TC4QihpOGDCxI2QNrofHkcHIGpqaui4cePSEFgsQBCOxWWRlHYHWrvwwfuMNqOddm4hylRODtVpx\\u002fWXnAzF7NPd\\u002fnpW04jX3l+Ezz5fAuLOn15vncKMB\\u002fftRPhrm8vATMnNtzj+HDA4B3E7MX\\u002f+Urw698s2xSQtWHXnCCG4\\u002fpKTYPc4IfguuGlNjn7ABIvQ28+RXCfhWFyVeS\\u002fiSxCImmxvUi+gV91rmSghQt53OOyIx5PFAAzSyaQcMHE4oOx8XXdKKEQ8hcOmT8KM\\u002ffbONFvIhnw5BLph4N6n3gIxBGiec3O59gSoywGnXW39cCfAuYDLoYK5HTK2v8dGuXtAARAucP\\u002fT\\u002f4WuG6a43hbMLEU1bfIoHFk9GTye6kyv7hKEEBiaDm9FMcaMGGB+2G48UtdMxBKpIo\\u002fHAwHyHtB7XVQt9Cqh19fLaaKEfcoYQzSWCOm6HjY5bOZ9WRx372H9MWhYf\\u002fDUztUIExCgKsPV5xyV+bs9uGl9n\\u002ffVSnw8fwngtOe\\u002fbm7GXrvdTlmkAztnMbf0XJ\\u002fbiVK\\u002fZQ\\u002fJb1LnggNOOz75Yik+WbRCcvUcUYvWu77qnKNBbepOSSuUEiCRxsTRgzC0f1km7qDNbQAYnDeHI9GokAE9XwC911zRQq8S+syZcmKYoqyMRSONiXTan0prHUy+1GzNU1Hqxz57DQYSO74jM0bBowkcctB4HLrv3mZhx45zb20qT7\\u002f6MbRwDFTJj6aOXUHqOwJel13WfNsFGFzA43LA73PttqSQnoQVA6+FY3jy5Q9kMYoc75WZ2W3TJo\\u002fCYdMnynbMOxhEY5XTnjJmCGyq7OuerfZZOejJVNqZTGuliXhsvYjra4Dey1qz0NvZC0IIQfYd9+UmELrI4\\u002fE6Q7F4FKYEnX2g5dmaPmU0oLJOy091Bs4FoDBccdaRMmwRHQ1swnSzbW0K4dk3PwXczjyNgmsHU2\\u002f0uJyZJIudk7nlhupyqPC67GbHljyndACcG4Dbgbq3PsPGbc2dND6UFnhVYbjyrCMBm7rD71Y3DMDlwBEHjZdXzB0ow6PxRIPP5\\u002feB0kXTDprYUFMjaA6NYo+it2vGiblz5zJCZhmC8HmAEI3NoRRyLFOrysvx1ZOh+mRSSXe5DaUEIpHCpIkjceKMfczr5cpOky\\u002f+qZc\\u002fQnBzE6jSu1VduwvLEuxx2eF0dp5Ntd3rELMHm02VkkFf2ORgcXUF4W1BPPnSRwCQ03hqvfPjDpmEfSeNhEiku53dZtVx71cewCFTRgNAZ+eSbY0tmmEYQoB\\u002fBEJEdTUo0HsWd6D3OTqqq6s5ADAN\\u002f00kEiSRSlXouh7rcKBJ1SMH9cOUvYeCpLVucxtCKKDpuPCUQ6AwmnMRCAFQypBK63jhnfkAZFWiPgECgAt43A647LvWEERAQFUZbLZdM+rtaVhmnRff\\u002fQLJtGZ6VDoeJ6sGEVx42qGAru8As6BAKo0jDhrfmvyU9b3FEAzDaIgn00OSiTixEfomAFRXd3Ak7XH0OqFnfIt64DPB+aZkMo1gOBoBAJ6VdCzzCKRr7aTDpkCktG4lKlBKYCTTKB9SiRNn7GMWeuz4drmQEsJXy9Zh\\u002fpfLQNwO6PmWitoJpMDI4XU7ZKJOJ9lU3YH00lGzY0v+SzMWDIODuh34cuEyLPh2DYDc1YUJlYlSxx86GZXDqmAkU90z7JouuuOmT5L3a8cshEnpoUg8mEglGaFkxcLPkouB3DUW9jR6ndBh6ukHHTQoQQn5n9vjVsOxuAOATjpxmB81bRxcZUXQ09p21zMBAUlrOGz\\u002fMRhUWZIztTEbL74zH1psNxYs2B2QMncmN5rvYlARIXlvbM8JQin0RBovvj2\\u002f02NkAA1H\\u002f\\u002fIiHHHAOJkRuZ3ZooTCSKZQNbQK1fvtDQAdGjyabrVUOBJzeL0+J+F485JLpmo1QlDkQZhhXqzmuXPnygQXRt9QVRsamoMJwzD09k32mNlkceLowZgydihIMr1d6zsXAkJhOPv4aZ1yc0BysbSm48W3vwBsfUM3z0AWMMvUitvVkQsBOGxKn6N2wQVgU\\u002fHCO\\u002fORSGmdRsDJbDfg7BOnAYqyXfcpIQDRDRwyZTQqSv250pkFAHDOU1ubW1KMUQGFvQUA1XPn5gWN5cUg5s6dK+UgI\\u002flBJBTaZHBUROLJeK5jrQSUHx97gFWZuVMQQiDSOgYNrcS0fUZ2yqmsGOn3v1iKFWs2A73cWmlHIYQAFJrJRd8V+iREiqVlxV6A0fxO5GkHIQSITcHadVsx97NvAXSMfwdaJZb9xw\\u002fH8BH9ZWZbF+I7h4BgDOeceHBHd5C8LxFCIBZPNnEhhkYjkTUukfoQAKqrqzvNyNyTyAtCnz17Nq+rE+zgKVM2EUY+VG0qtjW1JHMda3HkU380FcWVJeBa5wYVRikQT+CYaRPg97ikVT3HwdZSfu\\u002fzJdCDUSiK0pfUUzl+SrMSWnae0glk6eSq0iK54fW+1NltCABMYTDCMbw3\\u002f7tOj7OKVXjdThxz8AQzLiP3nFFKIJJpjB0zBIdMGS399B3daoIQgi2NLXGmqAqhZM7kyZODQgiWD\\u002fo5kCeEDrQGz0CgjlJKQuGYT9P1SPsoOSvPuF9JAKccPhWIJUBpx0Yv0rXMQZwOHDp1L3npHNWRhBBQmBTb35v\\u002fHWDbviiXb5B1zxmKvCZH35WLmRy9pMht9qPvkSHuMXDOAbsNcz5bgmRay6h77WHZ6aZPGQ3icpiVhDpejxACpDXMOmp\\u002fuJz2TMWh7EsBIJxja0skXMYYBTPEc8hU8csP5A2hw2JMKTInmYhvSWmaEgzHDLS+kzYgBDjnpIOh+j3gsq5ku+8JeFpHoCyAg7vye5qvYv2WZny+aAXgsPeNIJksWA0OArlLD+8QrLj5Ip9b9jHrY5TOuQAcNiz4ehVWbZAVlnM9ghUVd8iUvVBSFoBI6x2McoQQGGkN3n4l+OmJ0+RnuSeXt0TCqXSau1OJxKpklH4CbFez3KPIG0InhIi6ujp20EHjmgkhz\\u002foDfsfWppYYAE7bLV1mZlZN32cvHLDP6Nz9saU\\u002fDnsPrcDAiuJO84Yt0fSDL75DMhrv9f7gOw2WpaNvj9K387UQAh6nXc5F3izV7oNSAj2Rwvum+J5L\\u002fZA1JAUqSv0YO7w\\u002fYPAcCSoESGo4oXoyhg0o76xACQFgbN7WFAkUBdwQ5NkZM8ZF80lsB\\u002fKI0LMhBKuPRqLpUDhSmkilItbH2cdwk3Cv+MmP0KYLoolM3vDkUeY1O7uX\\u002fPnBF8t6rcf2rkAqNrK5RHEPcHSrIKfDrvbZTc+KSf9wwVL5QRfvXgCYNnkkYLR1sxEzv4I57bjsx4ebx3e4kACAtKZvCYYig8OhliRR2b+yv8sX5BWhz5o1y4AQ5OApYz4xdO0Lqij2LY0tSeSYNCue+ZjpEzFpn5FmQYGshZnJGx4JoPPSSlZt8K+Wr9sdj7RnIAAlS3TvCfJUmJWcm\\u002f+pqjlBCb5ZvgGaZnS6YQnz2Q6YMEImU2QdRimBiCZw2PQJOGDiiJwFSkzwLY3NMaqqHsHFRwdN3PtrIQQhhOSV\\u002fpdXhA4AdfX1FAAUhf3V7XJjW2OLTTf0BNoZN6z+Wx6XA5fOOtzcnYn5nTTKMK8LwweUdXovq5famo0NWLe5CVB3Ln2xV0FgcnSGYp8r68NdQQ6rZR8CFwJQVazb3ITl67ZkuHNnGNK\\u002fDLYir5k\\u002fIR9c9ppXccWZR2RUxdxGOB7cvK3J7Xa5QRl7BADqzTWcT8i7Ac1cvFgAgM68L0UjkVWGgL+hJRwFWtMALTAmCwL+9MSDMXrcEHAznJFA+s\\u002f7V5ZIfzA6D3sFgOVrt6JhSwuITcmXbsE7ALn\\u002feVx22HsgPt3aTSklcLscViWOXR\\u002fmHoQQAtTG0LKtBSvXy+pkuTwpFocuL\\u002fFjUFUpRFoDgTTaingS0w8ah+MOmZQpLdbuHgQAGlqCTRy0XzQcWcJj9E0hBOntlNRcyDtCJ7Nn87q6OjZ9wuAWIfgTTqeDbdraSACkcxKrweFy2HDN+cfLTi4gmUyjqrKAbLmMrtf++q1NENGEjO\\u002fOL9WqezAESvyeHmsVLISATWGoKvXvco2+3gKjFEiksGaj1a2486coCbhRUeqX68fsr84Yxe8uOC5nKeks7h7dsKWBOR12GwgeO\\u002fjgvSP1AM03sR3IQ0IHWqtlJtPG4\\u002fFYNBxLJIuaWkJBAMIqvmfBehFnHL0\\u002fJu4zGkbcJFjdQGmR12w4mNvIZoXPLl+7BWC0z\\u002fnPAZPZco4inxsqk\\u002fEEu0qYnAOqwlBe6pN\\u002f9EFKl+K7gmVrNgNATj3dEukVxlBW7AN0A4pZoKT60Ek48qDxZoGSDtxcABDNwcjmWCJVFYtFGwN2\\u002fAMAZnUseZgXyEtCJ4QIIQT90UGTNwqQf\\u002fj9AWX91gYBQGvXTCVT\\u002fM\\u002fttKP20pMBSs060jzT0jZXGKR1LgAsX7MVUFmfZOYwK6EGfK6clVV2DgIKYyjxe\\u002fpM8YkOEAAYxfJ1W3KVfMrAashR7HMDQoBzAcVlx+xLT4WqdNw4ZXESCgDx9Vu2oqioyEGIeGTcuHHNQgjaW51Ytoe8JHQLQgiiC\\u002fFQKp5oicWTgaZgOGj5P7NBieTGJx02FUceNgVaNA6oDF637BPe2cxbRrtNDUFZ9bQPUrpMURWZqLieMCbKQDuKgNfZZzm6FUS0uTEIQ5fh5rlmxno0v9cF2FRokTjOOPFgTNtnlMx0zL15kpZQdFMknhwQi0Ub0injsfb2o3xD3hI6IYTX19fTGVMnfJfWU\\u002f90ezz2tZu2gnOe7Fg80tKbgFuunAmX1w1iWuSB3OvUOlnXORpawmZ5493+WD0P0+pe7Lc6tOw6ZMlnArfL3kNX3POw4v8bmiNd1xUwF4fH5QDRdRT3K8bsy05t+2XWZaW4j8jqjRuZ1+tzapr2+IwDJ6+pr6\\u002fPS93cQt4SOgAslhZ4QolydzweC8cTSX9TMBzJdSyjFAYXmDJmCC4\\u002f+yiI7RX\\u002fM9dvStPRHIya5WT63qKWHJ0jYLrWesQ9aKbz2lW1D3vaZBBVKJpAPJkyP+p8bhRGIeJp\\u002fO5nJ2D4wPKcxUNNKhbBUHhrIqmVx2PRRtVG7gUyazVvkdeELrPa6ui0KWPXckM85PMH7Gs2bgE4LL96G1ic\\u002ff9+diIq9xqMaDzRxdXle4knU0hru97mqddAiBTdfZbo3kOXBaCwvhkCCyBTXpQbHNF4aruHh6IJjJg6GleceYT0oedYD2YodnjVhk3MHwh4DMO4\\u002f8AJE7YKIejs2bPzlpsDeU7oALB48UwhhCAc7L5IJLwxldZL129tCCFH0oAVLef3OHHTb85ErBsv2OCiT+rmFqwQ2KJMimoPPkuu5Os+BVl6tTtddnTdwB2\\u002f+QmcZrnsHMY7AYBv2NKwJakZg0PBljU60g\\u002fV1NT0CZ9s3hP67NlSVz906pjNhsFv8vq8ZP3mbfZUWosgRyogNaOYfnLMgfjxsQfKz1jHNFYLhsFbr5D3r6sjZASXAq97Rzqgbj\\u002fpxeACbrcdsNvyu1X0diCEgK53XvvBCoQ59+TpOP6QiZmS3+0vA4Bout6wbvM2j9froQTkhhlTpzaOHTu2V3uqdRdKbw+gO5g5cyavq6tjblLyZDTScoHNbtt37YYtm0cNG+hBjs2KEAKHXcURB46TL66LyC7aPj4+719ZKzKhnU47vC7pYegJVxiBbElVGvDC4XUimUiBsPxvZNER0kCrqp0vc8vFOnmvwV1diADQ12zc0mKzO\\u002faKRSLvlW211wlZDy6vRXYLec\\u002fRgdYqmlOn9o8TXb9eCC62tQS9LeGYFfaUcwV2FihjXhUA4HU7oCh91Ycun1F12DKuxB4BkZJOwOeUnou+yNHN184ohd+z\\u002fbnpYhMTABCOxNZtaWiu4IbOheDXjzp2VArIjwqv3UGfIHRAZrbV1dWxaftPeiuV0v7u9fk9y9euIwbnCQAk14vqMuXU\\u002fMqmKPA47aYVqw8qpJzDZbdlKsD2RFg6gVlqyeWEyy4bOfSxcHdIS5yA026ThS6tzzo7OleJMbmmCAcPLV2zngSKigJaWnvw4KkTPxBC5LU7rT36DKED0oVRU1ND02n9hngsul7XRfHaTVuD2AV+zBiV4Y99pIZ7NqRrDXA51Qyh98hmRaTu73aqcNjVPivtgHNUlgegKCah7+DUmNyar1m\\u002fZZNmiMGxaHQlp\\u002fY\\u002fCiFophNwH0Gf0NEtzJ49m5s76cYP5i\\u002f6vcfjfXrTtkZ3aZG\\u002fyed2lXJAtK9G0xmsg1SFYeiAMny9aIWsR9eX9FAzzt3psGdE9+5w3u0dQiBjxZ12G2wq65OiOyUEhs4xpH9ZzlDW7YFzLiilJBZPrN28rbnU5XbRcCR+TfV+Yxrq6urY7Nmz86K6a3fRpzg6ICPmZMXYCc\\u002fGYrE6j8fn+27VWq4bRpx2IsJ3BmGmqQ4dUCYrjPRF8VQIuBy2TBRgT0EI2ZCQ9dGMPkIAGAaGmfUIxI415RSUUgLOm79dscbw+f1l8Vjsqer9xr9QV1fHZs2a1aeIHOiDhA4AixfXCgBwCParZDy2zjBI+ap1m8IAdugFWG6jcSMGmDHdfYvSrag4p90Gh90smtFTz2BGx7Verm\\u002fNjal\\u002fYMKoQQCwQy5CM25dW75+4zZdYHgsFl1JFNdvhBAk3yPgOkOfJPTZs2fz+vp6OnXqmM0pLXmFolBsbQ55G5qDje3j4LuC5YoaPaQStiIfDN3o2oCXb5AyNtxmB1WD92DZJzPKsLXgQt9Z34QQ6LoOe4kfew+tsj7s7umCECKaW0KrtzSGKlVFMXRNv3TapBHbAJB8j4DrDH2S0AFg1qxZvK6ujlXvN+XlZDxxXyAQcC9bvcGeSKbC6KZH3ErrHDuiP\\u002fpXlUCktt\\u002fLLa9gOgqKerBWXPsb9Cvx9T1JhwBIaRjUvwxjR\\u002fSXGavdewYBgKTS2rala9Z7iouL\\u002fLF47M7p+074n1nVtU8SOdCHCR2AmDlzJq8Rgg4s9\\u002f8+Egp+6HC5At8sWx3XDSOKbujrVjOIYr8Hk\\u002fceAqJvv+Fe3oEQlAS8PX9ZyJp8\\u002ffsVmUkEPX6L3QYCAsI59hs\\u002fDH6v7NDTDUnNrAFnNH+1dFXY4XRXtbQ0z9nmUmtq+lBgTGfoy4QOQoioBTB06NAkpcrZWjq52RCoWLZmYwRA2jxsu0tUCOCEQydDUALel1Y0ABBkMtd6eo8SECgvlhy9L80Kh4CgFKccPrW7ST7C1MsTy9Zs3GoIjEylEhsh6Hmzxo1L16LvBMZ0hj5N6ECrFf7AyXuv0QztAqYqWnMwXLxuy7aQWX2my+VvGZyOmjYeJRXFEFrfsb4LU3Yv8fc8RzcN+ij2u\\u002fuUHY4QApGSjTUPP2AsCOm8uowFszyz2LClYVNjKDpYYSyVTmrnTJ86bl1dXV2fFtkt9HlCB4BZs4ghhGCHTJn0ZiqeuN7r89rXbNhib2wJbiWEgHfB1alZNrqyLIDjq\\u002fcB4knZiqivgBBJjLsBQgj43M4+paMzRoFkCqcdsS8CXleuXmltwLksJtHYEl69auNWn9fjdiWT8d8desCkd4UQfdKVlgvfC0IHAEKIUVdXx6bvO+H2cDj0SHFRsW\\u002fJynVqKBLbSrdjnLN0+XNPPBjE5YDoK5VPzVLMVnWZnhyzdS2nQ826WX6DUgojrUENeHDhqYd25xRBKUgkFl+5ZNUaZ0lxcVkkHHpo+tSJ95mc\\u002fHtB5MD3iNCB1hBZF7QrQqHm1wJFRcVLVq5hyWSqCV0Qu9Vxs3q\\u002fvXHcYVNgBKNgSndj7HoPMhIbPdi4oSNsSt+QbiiVBjiRSOPan5+MsSMG5KzHboFzblnY13+zfI1aXFxSGWxpfvHgKc1X1tTUUKsS8fcFfSoEdnswQ2QJIUT78svVP42Gw\\u002f9zut1Tv162pmniXsOabTa1uOuMNuCJWy7BuQR49ZWPwPweGBA9V7Zlt4CgeDdY3TNXz\\u002fPNDpCcnGs6wDnurr0QV517tOzN18nxZiVXktb0rV8tWUHcHs\\u002fAUDD4ieK1n0fIDN3S2ffoQ+xmfK84OtBaKnry5KFBQtjMVCKxhKpKyaKlq0Ra08KdBdRYxF\\u002fsd+PF+36Fn513DIxIHDR3IYL8gBAgCoPfa4a\\u002f9rTVXchYA6qyvN3rGGPgyRQ8ThueuvsKXHXu0Rm9vJMNXRBCYBjG1kXfrUgxu2NAPB5bnBSpMw8YNSpsiux5+rQ7j+8doQOWJb6OHTh57zUJPX6qYWirQGnJ18tWpzVd79THTohsBqEwir\\u002fOvgi3XncuuG6AazpoD3VB6SkQQiA4h8fjlEUcdwM4l11wykv9Zi5A\\u002fmx4sqYdhRGOYeigfnjj8T\\u002fgp8cfBINzMEo72\\u002fMEAGJwo2nhkhVJUDZIS6eWxzXjpMOnTFnbV+PYu4P8Wr09CCt\\u002ffcbUqd\\u002fF48ZpuqZtMThKv1q6KpHWdOl6y3GeVXeOc4HfX3g86u7\\u002fFUr9HvBovMdaHvUYuIDf64LNrKDSs2RIzAw2Ff2KvICePwZKQglACPRgFDOqJ+PtJ67DwZNHQTd45zq5mVuu60bjwiWrogbIYD2d3hyNx08\\u002ffOr4ld9nIge+x4QOSGKfM2eOMmP\\u002fcQuhi5MExCZDkLJF363QkmmtxVy4OcV4q53yzCP3w3vP1OLA\\u002fcbCaImCUZoXorzViingdbU2V+zh63MuYLepsh1z96LLdjsYoxBpDSKVxpU\\u002fPxmvP\\u002fxbDOtfBsPgZu+8nBCUEKQ1bcvCJcsTHGQwBN9gCH7Cjw6c8tWcOXOU7zORA99zQgeAGTNm6HV1gh2077jPYvH4sVwYq6miln713QojYVrjOwuVZZRCNzjGDKvC64\\u002f+DhedfyyMZAo8pfe6r52YFVR8HmeGo\\u002fc0OBewqww+j7PXc9IJIWCmqF5ZEsBz9\\u002f4K9\\u002f3h7EzWXmfSllUlJpVKb1j03co0Ve0Dua6tTKTTx06fMuGLuro6NmPGDH2PPkwv4HtP6EBrQM3hB+yzKJ5MH6Ol09\\u002faHa7SL5csJy2hcIPVvy0XFEbBOUfA48Sjsy\\u002fEM\\u002ff+EuVlARjhGCglvcvdOTdFd2vT6d5YujtiYfZg8zhtpmVup0a5y2CMQugGjHAcRx2xL+Y+U4Mzjj0ABudd1gW0vovGEyu\\u002fXLJC2BzOQelkYmk6mTyxeurEr79PATHbww+C0AEZUDNnzhzl8P0mLo3HEscmk4nPvD5\\u002f8Tcr1tDGZhlBB+QuEmiVkOZc4MxjD8RHz9Tg1BMOAo8mwdMaGOvU+LMbnweAIQnd2qh6WrK2erDZbKrZbHHPglIiO\\u002fCE4\\u002fB6nbiz5gK89vBvMWpwRUYf78yyDkgPTFMovGrRd6tsXp9\\u002fYDwW+zStxY445IB9vp0zZ47yfQqI2R6+V3707WHGjBm6WYpq7f\\u002fmzTuWc\\u002f6PokDx8d+uXBsekkw3DKoq9xNCbMjRusCKiTc4x4hB\\u002ffD8\\u002fb\\u002fG36r3wQ331mHjui2AxyVFyz1We06K7laF056sOdHmLoRA3cNGSEJMtSmZAgyBY47eH7dddQYmjBwIIaRK0Zk+nlVOLLFxS+Pmles3+UpLS0rDwfB\\u002fjJhxwaHT92sx18D3XlzPxg+Go1uwXG9H7L9\\u002fU3Czeno4HH7EHwj41mzeGliycm2jwXkE29HbORcQArjg1EPxcd2N+Pl5x4JxDiMaB91DxrpWY5wkdN6NbiQ7iz1Vz93SwwUX0IMxDBzYD4\\u002fefilee\\u002fA3mDByoNxESe5e59Y4KUA4R3DZ6nUbV23YVOUPBEqDzc0PrV\\u002fBz5g+fYJF5N+rqLfu4AfF0S3MmjXLqKmpocfK2tw\\u002f\\u002f\\u002fCLr1fZFPWWYDRR9eXi5ZvGjBgsXE6HD8jdlchaaIbBMaiiGA\\u002fVXohTjtwPtz3yEuZ8+BVAKZjLbm4Iu4lIzMv6Pa7sP7sBgh1RtjnncDltgMJ2a7Q7YxSGLjdLu9+Dy35xCq658HhUlPglF9+Owc0KkEmm0g3frlwTTmvGCLvNjkg49IfpUyfcZh5HfohEDvxACR1oDZcFQAghd3z4xaLvGFMeI4qjatF3K1tGDh6wpbTYX0IAFZ10IWNMcndA4MiDxmPGfmPw1Msf4va\\u002fvYZl36wCbCqo2curpzkuFwKwqfB5JaHvDhmCEEA3OCpKA4DD1uNqScaNaXAYkThUtwOnz5yBP1x0IsaPGghAqkqUUnRhBRFEKurpxpbwxhVr1ztsDudwIfStiXTsZ9X7TXnF7Kgivo8Rb93FD5bQgUwxAVEnBDuYkJfnfrJgGiH0bx6f\\u002f+Alq9bFKsJFjUMHVvoUxtzCbPDQXg+W3F363FWF4YJTD8WpR+yLJ176AA\\u002f88y2sXLoeYBTM7YAQUuTfVS5vlWOGTUHAYxWd6HlSN0NFUVbkhc2uIp1K90hrpgyB6waMSBLU7cDRR+yLP1xyMg7eZxQAk8AJ6TQAxhqDyaJDq9dvatq4tbG0uLjEF4tE3k8lkhfOOGjKih+qqN4eP2hCtzCLEKOuTrDqA8nyl+fPP6o4YtzqdDqubAxF3OFofMvooQPjHrezFK0ZcB25O6WmiCmDWH7506Nw3snT8Vj9XDz1n\\u002fex6OuVAKWAXYWiMNnFdWcJxizcSFQFfq\\u002fVc63nQQDoXCDgc8JuU5FOprd7TleglEqDZkqDkUxD9btx8mmH4rIzfoTq\\u002ffYGYDaNBDolcBMWF+fRRHLz0lXreCqtD3M5HQiHWu5JhxqvnTFjRrKuTnyvUk13BQVCN2H62ikhJA7gl+9\\u002f+tUc1aHcy2z2wQu\\u002fWxHu3690y+Cqcj+lzAXk7utGCMBIqyvO73Hh6vOPxUUzZ+DFt+fjoX+9gwWLV0EPRgG3A1RRMtx5x4heljJW7Sr83t1TRsq6KOccXrdD+up3YmOilMj6c0KAxxIA5yjrX4aZR+2Pi06vxuS9h2SOteLUu4C1yRIAkXWbtjWs27LV5\\u002fX6SlNpfWMsmbqieuqEFwHAfJcFIjdRIPQsEEK4EILU19fTQw6Y8J93PvriS24Yf3J7PKds3NbkawqGt44YVBUN+LylhBDaWbCGtB5L37ZhusDOO3k6zjt5Ot797Fs89dKHeOGd+QhvawFAAIcNik0B5xyCd7dbu4BNVTLGuG4XtdwBWxwhgOCyQYTCuk\\u002folmguhABPpGS7K5uK\\u002fffdG6cftT9+fMwBGFBRDKCVg1s+885gzjUBwEOR6NYVazem4yltmNfjRSwafUFPR39TfcABq+uEYDMBXhDX26JA6O1g6u1GXV0dO3zalLUATv1o4eILGKWzVbtzwFdLV0Ur+pVsHVLRz22zqdIy3wXBKybBc7N982H7jcFh+43BjVeejv+8PR\\u002fPvTUPCxavRmJbEHCogKqCMumi46ZkkBNcwGZTMn703RWGLm1+ChjrvBKsRdiA9EQITYeRSAE2FSOHD0D1\\u002fmNw7snTsc+YoXDaZVy+ZZyk2yFu6\\u002fpmrfbmNZu2hjZubSwtKiryKpq+KZaIXXvwPuP+AQB1dXVsVoGL50TvZynkMYQQkn4IEZ8uWjTAMJQbFVU5DyDQNa15YEVZun+\\u002fMj+lcJrHbzfxw8qVzi5Y+Pk3qzDnsyV48Z35+PLbNUhF40BKBxwqqN0GYnJHiEz1KPCkhsr+pfj25dsR8Lq6HTAjAHy9dBVCkVi3\\u002fP1CyMSWU375IDZuaJBeBDMclsj\\u002fYKR1IJGSn7kcGFBZiuOmT8DRh0zCIVNGZ+rOAzAj2jrNFW9zX+sYznl8a1PLtrWbtjkoUyoIBAxdf1I3xPXTp45bZxUA\\u002fSFb1beHAkfvAtbCqaurYwdMnLgBwPkfLlj8H0bJdW63e+qaTVvQ0BzcPLh\\u002febgk4PcTQqwGaJ32YLbE02wuv++4Ydh33DD85rxjsWrDNrzxwSK8N\\u002f87LFq6DitWbgRSaYAxacxTGKjCoDICp90Gn9thjnX3zYMAwJjcnLhuALouxXEuq++UDCjHpFEDMWXcUBwzfRL2Gz8MLtOtCEgub0UWdpFhBkAWa5SRrQQA4k0t4eC6zdt4OBYfEggEEI9FPxeE\\u002fHHa5LGvAvLdFHTx7aNA6N2AFWADAAfvM\\u002falt95a+LZRyi9glPxBsTsqv12xLuX1OFsG9CslpUUBH2ByeEgDOXIQPSEk0z3E4LJOLWMUIwb1wxVnHYkrzjoS25rCWLF+K+YtWoEPFy7HoqXr0NAUQjiahNEYgj6gPBOHv7tSSIlU1KEqDDyVhqe8CH6vE3sNrcKBk0bigPHDMXpYJUYM7NfmPMs+wSjZbh5\\u002ftuvSrBkRbwlFmtdu3iYisXiJ3+93Kcnk1kg4fFsLUn89cerUuPU+fihJKbuKgui+g8guUPDZZ18P1BT8WoBc4na5XZFIWPd73dv69ytTSgK+AAAbIOOvibA8Ql3DstiDdHQxcSGwZOVGfLd6M75ZvgFOu4prLjx+h8bfXdGdEGlxNwwOn8eFJau3QTcExo0YgNFDK+F22juco+uG6ULrGG\\u002fQ2bMKQURWQZhUcyjcuGFzA4KRWJnP77PFY7G4EOIhSm1\\u002fO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xqfgaX\\u002f15px6aX5KvL08zTvrsmTzGscRpbUwtJnMeyNKSwgDfqAJNPiBIR6VDO0b5+DhFRw2ulL3qIroaEQ52igQknw+N08bfYvrBjecfvp5a6G0ju826XcBugX9PWBrAb\\u002frrrsOirruF73AvzgRTyQxAcL4QVPKF\\u002fOWp8UrC1vFm++kaM0ECAFRVyKFwITq+oP2NrdpfIE2hlxBh5reYb8hFRw5ptKMGZw0ybgyQrhKI8llsxulEP8s+P6\\u002fzj333LehW+B3BboFfSdgjBEzZsyQRQGfOXPmKKXE14SQF8VisarAyyOFCdY35sWL81vlc3ObWbEhh9ZWuJU1TNF7q9reSRQnNa0h52kijmBI7xhHj63m8FFVukdNxGiNctwYuVxukzHBv7UR\\u002f68Ym+8W+J1Ht6B3EtOnT1dFAb\\u002fvzjuHB47zFWPMZ+KJRFL7eYTRwbINefnc3CbxwtstbGzyUGFCivgQCvf2IIXAGJvcY4DedRGO3reaY\\u002farNn3rIgFCOUK65HK5zQb+0tra+oePf\\u002fzjm8Cu4bvX751Dt6CXiTCn2wghzPTp06uT8fjnfR18q6Kiot7LZ1GSYMX6nHxiTpN4Zm4Tza0+kYjEVWKPeMj3FojQmef5hoJvqK92+MjYGk44sNr07xnTfiCUcqNkM5llUulfSBm98Ywzzsi3fx57+hr2BnQL+o4hpk+fXjLTZ8+eeaGUznddN3Kg9j2kCPw1mwrq0dcaxfPzmmlM+URdgaNkl3Kqbe9Bd5HhlZx4vq\\u002fJe4aeNS7HHVDDCQfWmF41Ea1RCqHI53LPIsSPzj777EdhSwurG9tHt6C\\u002fC6ZMmSKLobIHZs3aR7vqpwJ5gZISQSFoTvnysTlN4pGXG9nc4hGNhALeLqf8\\u002fYKgTVhEu7iXCWPxECa+tN8+\\u002fL0YAy+aHlsny7yfEICQAs\\u002fXeL6mV02EU4\\u002fowfEH1OhETBmEq3K5PELyFyHUT84666x13dp9x+gW9O2gqCmmTJniHH74oZdjxJRoNNrLL2RNYDAvLWiV9z2\\u002fiWXrckQcmyK6u0309sK8dQqrpw2FwOD7miAI7GQTaKLSEFESKWw6a1GgNRBoW\\u002fCSC8AzIKREKIlSEldJIsqG\\u002faDNxLbnNKXJY7dda9GkDwxeYBjZP8H4o3tw0IjKwBiUE4mTzWSWGfjehAkTboFu7f5u6Bb0rVAsOhFC6HvuuXMMOH+IuNGT\\u002fcAjokywbF1W3f7ERl5dlEIKm9yyOzWfwDquhIQAQc7TeAUfoQOUsGWpSkoGJBXDekTp16OCqrpKYpUJItWV1CVdaqIKV0LMCT3+xgp2wdfkA0NjXtOUyuO1pMi0pGlqSLF6c5rFDXnWZwLQ2hbFGANKEYk4xByJpJgfv\\u002fssmGI2Xr5gUBKO2reKs4+pp399zA9QjtHgB95NQWC+O3HixDWhsGu6zqqkS6Bb0NuhvUaYPWvWpUiujkZi9SbIB3lfi4dfapT3v7iZ5rRPPCqB3aPBla1GCQtWNHlfk8sHVMuAferj1PWpY1ivCo4aVMk++\\u002fSmbtgAqipjVMUUTiwCrsvOP1oNBY9C1qO5ENDalGbj4lXMX7qR51amWL2+mU3rmljckCMrFLGIQ9Sxk42SAqP1btH2RYHP5DT11S7jP1LPCQdWa1cpI92YyueyS4xf+PL4c86\\u002fTwC62zO\\u002fBboFPcSUKVOcadOm+TfffHN9dXXlb13HvcQPAiLKBAtXZdWMx9czd1m6ZKbvypc5NCFsjTmC1nyAzuWpjEhqK6N8dGgVBxw4mOGjBnBg\\u002f0pqhvQGN9rhsTR28jFaY7ShaOTvyBlnhEAIGRJXvMuLkc2wbtkG5qxq4Z15K3jxrVU8syJFJpOnpWCIxCMkXYXAmvdmF8+EUgj8QFMIDIeMqOSCcb0Z1Cvqe1o5xpjAaP3LF19+eeq0adP8blO+Dd2CTpvT7e677z7EddU\\u002fHSdygO\\u002flAhNo+ehrTeLOpzaQzgXEI3KXmukCW7DiISgUfPJeQNIEHDW0hrH7D+Jjo3pwwFGjqOpTB1KV9tOACbR9eEWKGAxCSFByyyq2nYBd37eTD+sYwABCSWT7jQOfprUNvPbSIh58Yx2vv7GCV1anCZTEdazGVxj8XTgzFtfvmbymR5XL+Sf04pj9q7XWRkSjCZEv5B7NZvOXnX\\u002f++cu7hd3iQy3oU6ZMkQDTpk3Ts2bd+QnHif5JSVkt8f11DQXn1v+t5+WFLUQcm4eud5EhKMM31dfQkilQpwKG9athwkF9OOHE\\u002fTlgZG9kj9rS9gbrOCMIkIROs5KrfFsYz0fncuh8AeP5GM\\u002fDFHx0oWAPFu4moxGE6yJcB+G6yFgEGYsiHKfjgRtjJwGt0YBQCiW3HEN63SbemLeGRx55k\\u002fvnbeKd9S1kpEtV3EEVHYG7SMtLaePvQQDHH1jDpBN6msqEMtKJSq9QWBlo7\\u002fIJE857oDuj7kMs6EUtPn36dBWPR3\\u002fpKOeb2hgiUuvXlqTljQ+uZX1DnkRM7bI8dCkAKcnkffyCT7+E5KzDB3LW8aM49rgxUFlR2tYPNBJT0todCZ\\u002fO5sgtWU5u6UryK9dQWLWOwpr1eJsb8Tc34Tc2E6TS6FQG421DQweAiERQFQlURQKnrhqnvha3vo5Iv95E+vchOqgfseGDiQ0bhHC3HYPx\\u002fVDbC7Ro89IDeBsbeOCpBTz4v7k8+OZ6NnvgRlwSEbXL1vJta\\u002feAYX0TXHpaX0YOiAe+Vkpr7Rmtv3nW2Wf\\u002fwd5GIz6swv6hFPSiOTf9sekVFZn4DZFobHIhlwukNOLBFxvkjCc3oAOD60r0LngblRRoIFPQmFyeQwZWcuHxwznzzEPoPbwPoNpi14FGGIN01BYa23g+uaXLyS5aTurlN0i\\u002f9Aa5ZSsJmlP4La0ErWlAI6SDcBQ2v0RZzV+km+kIxmpotMbYUjNMEGC0h5AOqrICVVWJU1NJbJ8hVBxxIMlD9iM+fDCx4YO2PJY2lsdOyhJJJQBenuXz13Dbva9z1zNLmb8hQyQeJe4qMGaXaHgpBflCQCKmuOjEPhx\\u002fYLX2AoTrRkQhn\\u002f99Np\\u002f\\u002f1uTJk4MPa\\u002frsh07Qi0J+++23D45FIzfHYvFjvEImyOS1uvXRDTzxRiMRV6IE71njFDV4a9bHDTyOH1bNJ886kFNP3JdI73ogXG\\u002f7QSgUBqHa1uJBc4qWZ16i+bHnSL8xn8xbC\\u002fHWbrBCLMP1uBMKtAonhnDNbmvYi5kyO7iQdjQ1bck29lgmCDCh8BMUiSgNkYH9SO43kuRBY6k++RgqDz8AmYiXDmnX+Da3Xzqq9KI1vbOGex5+k38\\u002fOI9XV6cR0QgVUYXW+j1HMKQAXxt833D6kfWcd1y9UUoYN5qQ+Xzutkwm+9nJkyenPozC\\u002fqES9Mcee8w58cQT\\u002fVmzZhwQdRK3SNfdV\\u002fs5f3OL71x\\u002fz2reeidlTXXeW9hMAkhJuhBAvsC4fWq44pwD+egZhyHiVhgCre12Wm9hlhfWbaT1mVdovP9xWh5\\u002fnsKGTeh0BqRCJeKh+Rym1pYGuTsD+e3J5tomAl0ooDM5wCCTSaIDelN98rHUnno8lR85FKemqnQI4\\u002fsYKTGAktaV5zU2c\\u002fvMl\\u002fjn7Dd5eU2aSDxC3FXoQL+nSynOddm85vDRVXzm9D6mMu4ETiTu5PO5J3L5wkXnnXfe2g+bk+5DI+hFIb\\u002fzzunHRtz47Y7r9ha64C9fn3P+Nns1KzfmSUSVdXrtJKwCF+QCyGdyHDsoyVXnHcIppx6MCF\\u002f8QBuk0dYzHr70Opsj9dIbbPzvLFqeepHsomWgDTIeK2lsoKRNuwSEsFYFVnsbz0dns4hIhPjo4dR89CPUX3w2yQPHtE1kWlvK6TDmDpBet5m77n6Zv9z9JvM25alIRnEl7+k5gL21mZxmRP8Enz+7H71rXN+JJJxcNjun4PvnnXvuuUs+TML+oRD0NiG\\u002f84RYNDIdIXu5MgheW5xSf79nNc0Zn3hEErwHY04K0ELSms4zPCn48tn78YmLjy15z3Wgw\\u002fTTNvPc29zI5tvvZ9PNs2h9+Q2M5yNcB5WIAaJrCfaOEAq+MQadyWJ8HxmPUXXs4dRPOoO6iR\\u002fDqa0GQrNe2FwEZYvzaV62lutveZYbHlrIugJUJyJg3pvDTkqr2XvXRrhywgCG9Yv5RkYdr5BfWPDSE88996K3PyzC\\u002foEXdGOmKyEmB7NmzTpNKTlDClnhKh28NL9FXX\\u002fvGnIFTdQRBDv5QglAKkkqHxAr5PjcCUO46rJx1I2wjiqrwY0V8lAD5t9Zybq\\u002f38rm2+8n985KhJTIZNzmsBvYZXG8PQUprQmtDUEqDUB85FB6XXIe9ZPPJDpkAGBzAQC0ECUNv+TlBVz9z6e589W1iFiUhCvwd\\u002fbhACoU9tpKly9O6M+oQYkAEVF+4C3Rmonjx49\\u002fq5gs9R6vukvjAy3oxdl65syZJ0Zc5y6DqI4orZ95s1n+44E1+IHBfQ9ZbkqAjyCVynNU3xhTLvsIR515OAjHCni4dhah1sotXcG6v\\u002f6XzdPvIb9yLTIeQ0YjQGiWfwAhlLSx83yeIJsjNqg\\u002f9ReOp88XP0l0YF8gFHgBmjAX38sze\\u002fpz\\u002fOzml5jf5FFdEUW8h3CcFJD3DBVxxRVn9+eAYUnfiIjjFQrLfK1Pmzhx4oIPumb\\u002fwAq6MUYJIYK77777aEfJ2QbRI6K0fvz1Jnnjg2sxgCN33rOupCBV0CSDAl89fQRXfvYk3N71aAPC5qCWTPT88tWs+8t\\u002f2HDzTLy1G5CJODIa2btM8\\u002fcKIRBKonMFgnSG2NCB9PnchfT67AW49XVAmLaLzfOXwObFK\\u002fn5X\\u002f7Hzc+tQMRjxJTY6bW7lFDwDPGI5PNn9+fgfSoCI6LK9715Ba\\u002f1zHPOuWjZB1nYP5CCXnxgd99xx+Ey4t4jldPLFb5+6q1mecN9axEYpBQ7JWMCQNm1+AF1Lr\\u002f6\\u002fLEcedbRAASBRpWKvCU6k2X9P2aw9v\\u002f9g+ySFajKJNJ1P1wCvjWkzanXhQI6lSGx\\u002f2j6XvlJen16ko0oaOt114TmvF9g9q3P8IN\\u002fvcDKPFTH3Z32zEthM+liUcmVEwaw\\u002f9CkjxN1vEJ+juenzpg48eI17TkIPkj4wAl68UHNmjVrqCPFY8pxBys8\\u002fcLbrfK6e1cTBAaldk7IpQAfSTaV4XNH9eP\\u002fvno61UP6lRoYoE3JTG96+ClWTLmG1ItzkLEoMh61TqgPqXxvg9B5F4SOu5qTj2Xgj75M5VEH2++1xgiBEVa7L52zhB\\u002f87gHuW9BIdWUczM7F3aWAgm9IxhRfOmcAowcnfOnEnHwu87RfW3\\u002fGxGOPbf0gZtB9oAS9KOQ33XRfVV1d8JDrRI40QT54Y2la\\u002fWXmKvK+3uk1uZKCjG9IFLJMu\\u002fgQLvn8qeC46KKQAwiBt2EzK6b8no3\\u002fuQvjBaiKBMbo955980FF6LjzW1Koqkr6XH4R\\u002fb91ufXQaw1CEBiDkpKgpYVf\\u002f+4+fv\\u002fQYtx4jMhOhuGktGv26oTDVycNZGifmO9E4k4mk5mRy+UvmjFjBtOnT\\u002f9A5cbLHW+y10CADaXVVPv\\u002fjkRiR5og5y9dl1N\\u002fu2c1OW\\u002fnhdxRguZcwIhowPTvn8olV56FdlxM0eEWVnc1zHyItz56MeuvvwXhuqhk3GrxbiHfPsLUW6eqEnyfVb\\u002f6K\\u002fNOu5Tmx58vpe4qBFprVFUV\\u002fzd1Mn+74mgqvDxpT29TVFPmKYm6kqa0z7WzVrGh0XP8fDaIxxOTYrHI1TNmzAgef\\u002fxxteMj7T34wGj00rp85sw\\u002fJisqrirk0\\u002f7mFt+5+rYVrGvIE3XlzmlyJWlM5TlxQIK\\u002f\\u002fvAseu+\\u002fD4HWKGHj3EIpgtYUK6Zew\\u002fq\\u002f\\u002fheDQcXjW5Z5dqM8hA67oDWDjEfp983P0f+bl1vHZRBYvwcCJeDVJ+bwpV8\\u002fxLyWgNq4s1MhOCVtqes+\\u002fRN8fdJAk4w5WipXZQu5qyaePfHPHyTn3AdC0NvCaHd+Lh6LXxf4XpAtBOr3M1aycFWGeFR2OjRtnW6K1pYMkw\\u002fsye+mnkOiby\\u002frcJPCqgWlSL\\u002f+Nku\\u002fMpXWp19GVVda7f5+hsrat1Mtjrv0n3askLT9us1DF+1\\u002fad81xrS1Un0fIZTEBJqgpZXaMz7K0D9MITZ0IATaMu8Yu5Ra\\u002f+YSPvOTe3h2dYbaZAR\\u002fJzKeihl0R4yu5Iqz+xullEHIQhAUTh8\\u002f\\u002fpzHPyjCvtcLerFAYfbsO49wVPQRY0ga7Yvr7l0jnnmriWRM7aSQS9ItGa48biBTfnAesroSrXVYS25v26bp97LsGz\\u002fFW78ZVV2B8Xfz+xCeW5SYGkWp6KRUcFKsQitdSBtdjGj3u5Xd9hNBSGBRTG0NiSJRCuE4YbprWDBTFP7dyoQZOuuaW4gOGcTwa39C9cnH2GWQsGtzpSQtqzfwxR\\u002fdxT3zNlFbGSPYGWEXkM4FnHV0PRd+tLcGR3q+t8qNRD9y2mmnrfwgeOL3akEv0vzefffdvZTgKeW6Ixx8ffdzm+Wt\\u002f1tPItp5c10ARioyrWm+e8pQvjllMtqJWI86xr7wgWblT\\u002f\\u002fI6l\\u002f+BRy3zbTcVRBASOtESAtlBdjmlNtqMh8wqGQFTm0VqrICmYjZJJx4DFVdiVtbg4i4yIgLURfpRpCxiCWPKBQwBQ9d8Oy\\u002fuRx+QzNBawqdzaMzWYJMlqAlhd\\u002fYjM5lAGVz7x3H\\u002fqhwQijmvNsm6rvuPmDJLXQ2h3AUg3\\u002fxbfp88ZMYYxDGoLGtpL3NjXzx+zO4\\u002ffWN1FTFCXbiWYgwqeZzZ\\u002fblhANrAy0iqpDLPrqm\\u002f4DT18yeHUybNq09W\\u002fZeh71W0Nv3P5s9a+btsUTyPONng9cWpdQf71oJYVimM09GAEYpci1pfnjmPnzpO+ehIxFE+GIhJUFrmne+NJUNN92Fqq7YNaZ6qKFFWB5qtLbCls\\u002fZ9Nh4HBGN4NRWkRg9nOiQAUQH9iMysC9uzx5EevXAqa1GViZRlcktSl13BsbzCVpTBK1p\\u002fIYmvPWbKGzYTGHlGvKr1pJbvJzsomXo1jQ6l0dncyBAxmKIWDRM5Q3lYleY\\u002flJCEKAzOfp+9dMM\\u002fuV37OSidUnYC82tfOOHM7j5xbVUV3VeswthVwYxV\\u002fL1yYPYp18sUJGEyqRSPz974sTv7+0m\\u002fF4r6MUbP2vWrC\\u002fEY7G\\u002fBH4+WN9QUL++dTlNad\\u002fyrHfi\\u002fbJCLsm0ZPjxmfvwxR9MRgtlBTyMj3vrN7Ho0m\\u002fQ9PDTOLVVGP0ezFcBQioQlGiejNYYz0dVJkmMGkZs5DDiI4eQGDOC+NgRxIYMQMZj2yeRAAj53rafUlsc77bHKObjl2rbt3cErdGpDNlFy8jOW0Rm\\u002fmJyC98hs+AdcouXYfKFEvmFjLhhIox5b2m+4ZLFb2qm58UTGPaXn6Iqk6VsOikFpjXNl753Gze\\u002fvJaanTDjpbDNHwf3ivHNCwaZymREGyPI+rnTz5tw3sN7cx37Xinobevy2QdKwVNCiGQQ+OKPd64Sry1OkYh1zvnWfk3+vY8N5es\\u002fvIDAcS2VU6jJc++sZOFFXyH1yps4NZU7tx4PediNAYKAIJ3B+AFufR3Rwf2oOHR\\u002fKj9yKMkDxhAd1BenHW9cCSG7a2mNHFJDv1ctvj0YP9jyXKU1\\u002fLavTmHtBvIrVpN+5S1ann2FzJz5ltqqoREZiSITsS0KXjo9SYbn9ptaqDn1eEbe+Fuc+tpQs1suPa+llSu\\u002ffSsz5mygrjLWaQedkpDKBpx0SB2fPr2vNjgyCPzFbsE75mPnnrtx6tSpYm9cr+91gl402YFILBb5XywaP0qYQjDrmU3qtsd2bl2ulKSlJctXTxjAD398IToa20KT5xYvY\\u002f75XyQzbxFO9U4IeUitpHN5dK4AUuDW11J51CFUfeQQKo46mMqjDt5GWI3vY4LA0jBH3Hc9RdDUgtfQRNDUit\\u002fYRJBKE6Sz6GwOnc5aJ5ofYDzPCkzEDVlqFCoZt\\u002fn3iThOdSVOTRWqthq3vtZaENuD1uiQi6593Xzp62yO1Auv0\\u002fzUi7Q+\\u002fTKpl98gaM2EIcgYIhKmA3fygQlH4Tc2U3XsEYy67Y+4vetDa8FOpLnNTVz2zVu4b0ETtRWd98YLYfPiP3dWf44\\u002foCoQKq7S6fRNEyZOvGRvNeH3OkEvmex33fW9RLLiZ9rPBvNXZtTvpq8k0OZdrdqO4ChJQ2uOTxxUz59++0l0IoHQoSZXkuzCpSw49wqyi5ahqjrhWZeWdtn4vhXwgkd0cD8qDzuQunNOpfr4I4j0791mIhtjiRYRJSdXe+iCh7d+I96GBgqr1pJdvIz8OyvJr1xLYc0GgtYUJl9A5wvofB5T8O1E4fvhmO2a2WBfeuvBEPZ8roN0HHAcZNRFRiKIWBQZjeDUVRPpF5JEDhtEbMRgIr174vaqx+1Tv81l2wQhXTpu6fN8gfzKtTQ+8ASN9\\u002f6P9GtzKazfiIzbAh+hVKdqAITj4De1UHn0IYy+\\u002fS+4vXpAoNHCmvGpFes4\\u002f+u38uKGPNWdJBQRAvzAUJVw+PZFg+nXIxoYlCp43nkTJky4c28U9r1K0IthjpkzZ+6rpHzBUSKZLQTmN7cul0vXZIlFOqfNHSlozPqcPCDGjX\\u002f4BPFe9SXvOlKSX7qSt8+5nOz8JajKivI868WijWwOncvj1FZReeTB1J3zMaqOP4L4yGFt2xqDKXh2UmjPsGoMflMz6TnzSb36Frm3F5Nbvob8itUUVq21FE5KhutWa0aXzOmit162D8WVcnTbnnj78Jo21nlW5JsLtWzR229DatbCQWtUTRXRQf2t8A8dSGL\\u002fUVQcfgDxkUO3sQBMwbNn3soiSb3yJs2PP0\\u002fDnQ+RfvNtdDqLTCaQkfKLfqxmb6HquMMZNeMvuPW1lqDSGKSSrJmziHO+fQfLCoqEolOcA8X4+qEjK\\u002fnSOQO1chzped4S5eSPPv30SZunTp3K3mTC71WCboyRU6dO5dBDDnkwFoudjM7rO57cKO94ciPJWOeEXAlBOjDsGwu4\\u002ffcXUD96qM10A5ASb8Nm3j7rMtKvzysrRi7CLqo6m0MXPOIjhlB31kn0\\u002fPgEkgftWxI24\\u002fm2hDUS2WL\\u002fwup1ZN5cQOqVN2l55hUyby0gaEmhMzm05yFdBxGJtJncWyS20IFg7ASPXEfm0BaJOOE1BIENyeXzmEDbcF48htOzjopD96fqmENJ7D+a5IFjUFVtFNYYY5cOyikV\\u002fxjPp\\u002fmJF9h06900PfgUhdXrELEoKh6zw9+Bs6Uo7DWnHs+oW\\u002f+AqkiGzLKWEGTOY69x\\u002fpR7yUZiKDrXxloIyBU0l53Rj48eXOMj404m2\\u002frnCRPOvWpvc8ztNYLezst+WSwW\\u002fTtBIVi0JquuvnUFfmALS8p9hgLwhSSZTXPHtDPZ\\u002f+RD2zLehCBIZZh\\u002f7udpfuw5nJqq7Qt5qDENELSmEMqh4vD96XXJedSefgKR\\u002fn3sdlrbYyjZxv\\u002fmB+QWL6f50WdoeuxZMnMXk1+2Ep3L2TCV64R0zaGmbq9V9zS2StwxgS5doyl4aC+PU1tLbNggkgftS+2px1Nx1EFEB\\u002fYrHcL4vqXVcts0fW7RMjbf+QCbbp1NZu5CcBQyEUcUcwm2NxxH4Tc0U3\\u002fx2Yz8128xwi5NAgxKCm7\\u002f16Nc8dfnSFbF25KJyrxMPzDUVDh896LB9KqNaj8w+PnCiRPPP\\u002f\\u002fJvUnY9wpBN8ZIwNx11111jlKvRyJuf69QML+7faWcuyxNPKo6xb8ulCTdnOHayw5j0uWn2ywrESZ8BAGLLvsum26eiaqrAX87DENSWs2RyoAjqT7hSHpfdiF155zaTlt5bL1WTb\\u002f+thXuJ56n9emX0emMLY6JuDYGLcWWXvW9CUXhl9L6JrI5y1MvBaq2muoTjqL21OOpOe14Iv16l3YrLV8cOwnqdJaNt9zN+utvIfX6PIQQtgrwXTz1Vtib6PeNzzHk1\\u002f9XOm9gQBmfn06ZwdWPvtPp7DkpbD788QfU8Lmz+gXSiapsJvuUG4mccvrpp3vAXtGXfa8RdCGEnj1r1q9jicS3CHLBI680qH8+sJZ4Z9flStKUyvOVj\\u002fRlyq8+TiBcSxYR5q6vmHINq37yB5y6mo7X5GF4KEhlQEpqTjqGPl\\u002f8BDUnH1sSaFPwLPNpGILKL19N82PPsem2e0i\\u002fNo\\u002fC+o2WBDKZaAs3fRC44tqjpPVpCyem0qAU0f59qDr+COovOMtSQ1dXAsVQni5p+aA1zeY7H2D99bfS+sLryKhtGdXhGl5g4+wtaYb9eRp9Lr\\u002fYam9pa9qDhmYu\\u002fvJN\\u002fG95iqqY0znnHFazf\\u002fm8gRw6otJmzXmFS8ePH\\u002f\\u002fvvcUx1+UFvR2RxFgJL7qujDe2FPjlLcvFhiYP1yk\\u002fMUYJQaunObxWcOffPk20dz0i1BJCSTb+dxaLP\\u002fNtVCKO6WCNK5QiyOYwBY\\u002fKow6i\\u002f7c+T93ZJ5e+NwWvzelkoPW5V9j437tpfOBxcktXWq0diSCjrjXF3wvt7F4IocLOLIUCJl\\u002fAABUHj6VuwinUX3S2LVwhNNP9oHQvdTbHhv\\u002fMZO01\\u002fyA7fwkyGUdGOkg7FtYaEkYz+s6\\u002fUn3SMdafICRSCt6Zs5gzvzaDJuHiivLX6zaRxjCif5xvXjDIxKIRUfAK78R9ffjTc+Y0Tp06tctr9b2iHt0yfpgfxRKJhBJGP\\u002fJqo1izqUDElWU\\u002fLAF4CGqCPL\\u002f58knEe9eHbYVDU\\u002f61eSz7+k8RkQimXeEXUMrl9pqaiQ0ZwLA\\u002fTGW\\u002f\\u002f91ihVzrLTzLOpdn850PMO+szzDv9E+z7tr\\u002f4K3fhFtXg0wmEI4Kc9U\\u002fXEIOlDL2hOuiKitwqipIz3mbFVOu4c2PnMeSK75P67Ov2iaSEbfkvJPxGH0+dyH7PzmdgVO+jFNdid\\u002fUYiWwfRgynLC177Pkiz8kv2INQilkWAQz9MB9+Oklh+OnszZaUSa0gZgrWLgywzNvNgslgiARTw7NSnlV6Hnv8gqzSw+wnTY\\u002fSin5lBJGrdyQF7+8ZRkFr3Mxc6UkTS1Zrj5vDJd96xyCwLK4GgRBSyvzzvgU6VfnIiuSUNQUxQqqlG0d1OdzF9H\\u002fm5\\u002fD7dMT2FKDB6kMm267h\\u002fU33Eb61bfAGOtIUqqbYeZdIKQEAdrz0akMqrqSmo9+hD5XXkL1uCOtlg406KBk0ucWLWPFj\\u002f8fm29\\u002fAKSwHnrdRtMllMJvbqH2jBMZfce1pckgQKB0wFe+cRM3vbyOmqRLUGbMrWi+96h2+b+LB5u6qigFP9jkev6Bp5933ropU6Z06Yy5vUKjC2G+G41EHSmFfviVBlrSAaoTI1dC0JrzOXlIBZdefjIaGZJDGoQUrPzR72l9\\u002fnVUZTshD4sm\\u002fMZmKo44iDF3\\u002fo0hV38Pt0\\u002fPMERmbGaX57PhxjuYe8onWPKF75N+9S1kMmHDPNDNMLMDmLCsVkhp6aOMYfPdDzNv\\u002fGeYf94XaH7sOYSSCNctleTGRgxh5E2\\u002fZ+RNvyM2pD9+UzOE7LFg77lTXUXj7EdZ\\u002fZvrSxaZxCba\\u002fOhLpzCsUpL1TUeZvB2PE3AdybqGAk\\u002fMaRaONDoeS\\u002fT0XPUVwIwdO7ZLK80uO7iik2P27NnHSfif6wi5eHVa\\u002fPrWFaIz4TQBBEIQyWW5+2dns98JBxIEtu+ZUJJNd9zPok98zTYIDJ1hwlEEqQwyEaf\\u002fty6n31c\\u002fY51Agc37LrYYapj9CKt\\u002fe701N8NU0lJZaTd2DqV6AEPQkkYm4vSYeAr9v3U5if1GATaaIZSy+Q6bGlk57RrW3zAdoSQyGt1m7b7vPTdQecxhoLXV6lJw578f5fJrn6OiMo4ucxklBPi+oabS4f8uHqz79EiQK\\u002fibdSR65Nkf+9gyQHTVcFuX1eiTJk0K23gE34pEo442xjzySqNI56w2L1dHKiVIp\\u002fN86ZR92O+E\\u002fUPyCBBSUFi9juXf\\u002fXUpHFakMvIbWkiMHcG+d1\\u002fPgO9+wQq559u4tuOQmfM2CyZfxYLJV5F6\\u002fvWwFtzGaLuF\\u002fD2i6KTUBqe6EiEFG\\u002f87i7kfvZgVP\\u002fgtfkOTNeGFwHg+bn0tw\\u002f44jZE3Xo3bsw6\\u002fuaUt515JdCbHsm\\u002f+HL+5FWNsg+pAG86ZdAxn79+LlkyhbN45Y8B1BRsaCzwxp1ka7ZtEPN5T5fOf73bG7QSmTJkihRDmnnvuORQhz9BB3ixalVGvLGoh6grKFSUpIO0ZDqh1uOyzJ6GRCFv1DUKwYso15N9ZgYzZtE2jNX5zip6fOo99H\\u002fw3lccc1lZY4joEqTQrf\\u002fwH5p56CZvvesAWgiQT1hLoFvBdDtujDZzqKoKCx8pf\\u002fJm3xl3Ipttm20nZdewyKgjoMelM9r3\\u002fRmpPPQG\\u002fuYViXE9VJWl9cQ5rfvd3m71ImOEfj\\u002fHdzx1PndJ4unzTVhtLLPn0m42sayhI38ubQAeX3XHHHb1Cbd4lreQuKejF9Y4OvC\\u002fG4zGFQT\\u002f9ZhPprLZN+cqdO6XNOf\\u002fG5EOo6t+rLf4qJQ2zH2XjzTNDnjcw+TxCCIb+YQojbvgVbo9aayI6NkOt+X\\u002fPMe+0T7Hyx38gyOZwqqu6Bfz9gLECL6TErashu2Q5Cy\\u002f5Bosu+Yb1qrsOBqvd46OGMfrOvzLgu18MGz1aE15VJln7pxtJvfyG9eijCbRh5OGj+dRJI0ll8shynT4GHEeyqdnj2bktQmJMLJ6od6T8NMD06dO7pEx1uUG1S3XdR0h1buAXzKpNOfnywlZbtFKmY0tKaM36nLJPNePPO9rmPmNN9qA1zcpp19jtlEPQksLtXc\\u002fo26+l7xc+YQs6fB\\u002fhuuhsnhU\\u002f+h3zz\\u002fk8qZfewKmpsp70bpbX9xdhma2MRXEqkmz87yzeOvEiNs+4L3TWOZgw9j7oJ19n+N9+jnAddCaLjEbsM596jbUAaGMfuvJTxzOyNkLO02WrYmMMEUfy3NxmNrd6KGGMkOLS++67r2ry5MnaTJnS5eSqyw1o0qRJBkAJc0k8Fq+Rwuhn5zaLlrTfKU+7RhLz83z14iMRlRUhtZHN1lr75xtJvzYPp7oSr7GJisMOYN97\\u002fkH1SR9py8F2HDLzFvH2+MtY9bM\\u002f2zBOZaLkkOvGHkJYVefUVOGt38TCS7\\u002fO0i9PI2hJhTkKdqnV69LzGD3jL0T69cFvSeHWVtP40NNsunV2qSjIGEPtoN58cfz+ZLPla3VjwHUEazfneWVhq0R7OhaLj9HaOxMwM7qgB75LCXrYCkc\\u002f+OCDST8wnzDaZ2NTQb44v8VSQ5V5HCUFqWyB08f25PCTDrRli8b2J88vW8W6a29GVVbgbWqk9mPHM2bW9cTH7FNyuKGkTXo59RKan3zRhn2KxRvd6BIwQYCIush4nHV\\u002fupF5Z32G9BtvlyIixg+oPvFoxtz7DxL7jsBvSSGjEVb\\u002f9u94mxsBEFpjjOH8cw7nwD4J0oUAVWZyhsGm3D7zVjPpXCCEMBhtPgswuehI7kLoUoJe7I7h5XJnRCKRoYJAv7k0zbrNBSJu+amuAYKkDvji5MMQ0Vj4VGz99prf34C3diNBOk2Pc05l5C3\\u002fD6e+1gq562CMYcXUa1j48a\\u002fiN7XgVFV090zrqgjr450eNaRefJ23z7qMhtmP2OiIsoU18ZFDGXX7tSQPHovxPLJvL2LjP2eEiToCrQ0VfXrw2TP3I8gXMOVmYRmIuIJl67LMX5EW0gQYI46+776ZByOEmT59Upfq9NKVBF2MGzcuANDGXBiNRsjlA\\u002fPC\\u002fBbRmc6nSkBrzufMsT045KMHWaqzMDEm89YCNt12L8b36XnRBEbc9DtUVWVJyHU2y5LLvsOqn\\u002f4JGY\\u002fZdNjutXiXh\\u002fEDVGUFfkMziy7+Kmv\\u002f\\u002fO9SVqPxfGJDBzD6zr9RdcxhaM9n3XW34q3fZBl2w3yM8887krG9k+R9XVbGpaGtFfPLC1uF5wdBRUUyrn15gd1i0u685E6jywi6MQYhhJk9e\\u002fYIoeTpfiHHsvVZtXh1plOFK4GUxL08n5hwcNgEsS12su7a\\u002f5Bdv4z6j09k+N9\\u002fiYxFbfGE6+Bt2Mz8c7\\u002fAhn\\u002ffWaqm6vao7z0wfoCIRkBJln31Jyz\\u002fv1+XmHtMEBDpU8\\u002fIW\\u002f4f1SceTXrRfNbfMD3c0aC1IV5XzSWn7ksmm0fJ8sSi2MPt9SVpNjZ7wvc8AqMnhU65wBjTZdbqXUbQQ8JHhNbnRiPRuJRGv\\u002fB2K9l8u57jO4ASgkzO45jhtRxz7JhwbW4QQpCdv4T1\\u002f5hB\\u002femnM\\u002fzan1jKIs8DR5FfuZb5515haZzraj7c\\u002fcv3ZmgNUqKqKlj9m+tYeuWPbIhUSozn4faqZ8Q\\u002ff0PF\\u002fvux9q\\u002f\\u002foRBqdbtWh7NPP4ARdTEyXlB2aqxS0JLyeGVhqxR4JhKJDtO6cBxFQr4ugi4h6EIIJk2apKdMmSIDY852lKCx1TdvL0+hZPlOOCMAz+fSU0Yhaqqt2R6uxdZc848wR\\u002foaVEXSagDXJbd8NQvO\\u002fTytz79mudq3RzTRjb0DIROPqqlk7V9vZskXfmCrFF0X4\\u002ftEB\\u002fVj9B1\\u002fwxTybLzxDgjJJA2GXkP6cs7RQyjkPUugUQaEAG0Mby5NkffQrqNMEIgLADNjxoxuQW8PrbUSQpjDDz\\u002f8ACHFgTrwzPL1ObFqY4FomU44CeQD2LdaMe60QwBCTnZBdtEyWl+aw+jpf8bpETreHEVh7QYWTr6S1Otvh0LewXq8SK64Mz\\u002fbw84eY1eOYVeis+fc5de51fGNgUDj1Faz4Z+3s\\u002fTKH9r4ech8Ex8xlNHTr2XT9HtsQYyUIUEmXDD+ICpdWTaRpDEQi0iWrMmyakNOKKGFMeb4u+++u37y5MnBlC4SU+8Sg5gxY4b9RfunVCSTySAIglcXpaQ2pvwkOCXJpHOcecw+VPSqIwidcBhDwx33M\\u002fD7VxEfPbzkeAuaWlh40ZfDhgzb54Vr63fWiZ8wLROxVb108ZjhNuUcq\\u002f0sZ3nZyx\\u002fDNtfUGeHZTpOG4nEsJXW4baDbxluMUITOsG2E2Jgtr8Hr6DrLvz\\u002f2Xm\\u002fHlxIEOLXVrL\\u002f+Vpb\\u002f369K4zF+QNXxR9D7M5PZNP1ee0nGgIChYwdz0ph6WnJ+WTnwVpcIUtmAt1ekZcHzdDweGwjBCQDjxo3rEjLm7HiT3Y+i42L23XePD3yf1mwg5y1Pl11sIIB8YOgTE0w8cZR1wviB5RHb1EBi3xHUnn2y9aArmxa76LLv0PL0Szi11ds3143BqapAxsPKtnIVpBAE2TxBYzPG97ehQHbr6yw\\u002f2o5MFQN+S2uJU83tUWPpqsrYDynQuQJBa8p+FNZ0l4Vi2qlS1sHV\\u002fnzhejfI5sOGi8oW9cSigOWfN7m8Za8NfMta67olDjwRieBWV9IWrwwr1ZpbSlo30quHDYfuaJo3gJK2UUUq3aE1UUyuWfP\\u002f\\u002fonbpyf9v3l5ifij12cvpOn+xwnSGVQygR8EOK7LWR\\u002fdl3tf\\u002fx8Gd8djKA5DCV5b3MrHDq\\u002fTcddxCkKeAtxRjCTtaexxQQ+TZMyDDz44QGt9uCRg0eqMaGjxyu6fJoTAy\\u002fscNLSGUUeNse95SDQokwlqzjgxfNFAKMmy71\\u002fN5rsexO1Rs32GVynRqTSDf\\u002fZNekw6s\\u002fTil31dQYC3fjNr\\u002f\\u002fgvNt42GxmNlhhTRs\\u002f4C5FBfcMWwB3NHjaLzwSaRZd+neZHnyXSvzcjbvwt8THDw0ln+4rCaFvf3Xj3I7zzrZ\\u002fjtzQz4NtfpM\\u002fnL7apvc52HnuYPBhksrQ88wrr\\u002fvgvcktWlIRdSGnz\\u002fGuq6HXJudScegLxEUNQVRVt7LaBFSJvwyYa73+C9X+\\u002fFX9TIyIWRafSVB99CCP+\\u002fdu2yUMIgkyWhRd9hfQrb+L26sHYR\\u002f9r2zcVsxk7grCaXyiHddffwoofXo3bo27b5xlahaoiycof\\u002fY7Y0IH0OO90TBAgIy41p51Q2rTobT\\u002ftuJEMvvklVjQXiJYZ8XEkrNlUYNXGvBrez0UH5pT77rsvKoTIhxexR727e1zQQ297UCgUTo5EIjFjtFm6JivSuYCqRHkkflJAzg8496jBYUjNlKyBkjYNrIZff\\u002f2trPvzjbi11e\\u002fK1S6kRBcKBJmc7QLCu7x020Gkby+GX\\u002fcLcstX0\\u002frkiyE\\u002fvMDt2xO3Z4+yjiEioUYVAre+rsz97Fi9hmZ0Lgfa2P5uQwaUPfbEviOoPGQ\\u002f5p31GXQmG+b954gPHcg+N15NxWEHvOv+0YF9qTh0f+rGn8TbZ3+OoKkFEIhYZJtrUAWvTesLQaRPTzu5lAl\\u002fcxPv+mzCPArjOCy98kfEhg8medC+VtjbnUcIgTaGRN+enDimJ9c\\u002ftZy4GyHYgaQbA8qRtKR9Fq3KipEDEgDDdKFwEPBCUZmVfUG7AV1i\\u002fQBgjDkxHo\\u002fRmg2CRauyuKrYevfdIYA8ggFOwBHHjS19tsWxQ4bX1Mtvsvz\\u002ffo2MxXZ4bBMEqIok6\\u002f8xneziZW1HbdfRpENK5mJoLuzCIpSk5qNHt6M6EtYUDx1GO6R1FqJNF2ydi73dsQi89RvZ+J+7kGGjCON51uGU98KMsu2MPcw2M75P8tD9qDjiQIJ0FjCgJEP\\u002fNJWKww7AeF5bJ5ftHcPzSR44hl6fPMdOOFK0nbd9F5hCYYuxbGM5bXOdbV9l5i1i8+33hZ10tp\\u002f3YLRlBPIbW1nyhR\\u002fY3Hi17fLJGPufMz+6b6eWawLQ2rB0TZZcQQeJRBwkpwI8\\u002fvjje1zO9qhGnzJlipw8eXJwzz331AZBcKgJfBpaPblsXY6IWx6Ns5SCVMbjY2P7MHRYLzRb+ZDCg\\u002fgNzSy9agpBOo1KJnec8RZSReWXr2bBuVdQP\\u002flMaiecQnL\\u002f0SXNA3YSyS1dgc5kifTphduzru0YynK\\u002fRwf3t8wn2nKNb+EtDo+TW7qC\\u002fPLVdu2ubbTA+JqgsRlcBYEmO3+JXVJkcjg9qokO6LvNsLPzl5B6YQ7rrvsv2UXvoKorMS1NoYOt3Q9gPJ\\u002fsvEUYAbHBA2zJLmDtYitU8ZHDaHrgSYJsnqpjDqX6xI+UCB6L8DZuprB2A9GB\\u002fXFqq7Y8htZUHX84q355bWk5tcVyZQuvuwCtSc2Zh0omML5vrZiQo6\\u002f0aHyf7PwltDz1Emv\\u002fejP+5iZELLrjBKdAo6qSpF54neX\\u002f92uG\\u002ffnH9l63S9SQ4Zj2P3AwB\\u002fWO81ZzQEKJHb6LxhgiEcni1VkaW336906QyXJMmDQT7GmtvkcFvVR3rvNDHRUd4ft5s3RNVmYLAdEyGV6NEES9Ah\\u002fZvx8kk3ZWb6f5TMgMuuqX15J68XWcd1uXbw1tkPEo+eVreOeHPyH3zir2ueFXNgbvhD3Eg4BFn\\u002fgqzc+\\u002fQPWRR7Lvvf+w7Y7bVcupyqTNrChOEO1f9DDJY\\u002f11t7DyV3\\u002fBqdhSM0nXRSUTBOkMCz\\u002f+VYQj8Zob6XXx+Yy8+ZpSowIAhGDJ579H05PP4lRU2XVuRy9\\u002fOA6\\u002fqYW3z\\u002f082aVL6XHWaYy67Y\\u002fhUkeUxu72rkc4Cl0oUHHo\\u002ftbPAZR6twnB0qumsHH6TCoPPZSxD\\u002f\\u002fbFgEVJUNKnJpqhOO0VRB2\\u002fCStYy2b563jL7DtkVMp+n\\u002fzcob85nulmnSEIGhqZdEnvkZqztuoiqQ188vMYjSBj1NbxfobbqPmY8dTN+Hkkk8DsGXM2lDbq5r99x\\u002fMyw8tIFkd275nv90tdZRgQ1OBdQ152buugNFm7D333NNv\\u002fPjxq4tNSMoa5G7AHjcpAIxxDohGo64UQi9encWYsi0m\\u002fMCQTEQ46SDLCd5emxutEUrS8vjzrPvbzajqqs5XoGmDiEVQMrnd1sXCdXEiFeSWriS7aFl47raLEEq1U1odX5lwHaQbRca2\\u002fGl\\u002fQSLkhRcismVTxvbHibjISMIK7I7UkLA+ABVNkl2wFG9TY7hUaDfRFNew2rRV8ZVWCNYU95tbcRJVZN58m+zbi8Mv2wm1UoiIU\\u002fZrLqIR+xOJdOw4DMctkwlEbKuowI5QtPyVYvn3r8bf2GCTY9pPFMaAUIzbtzcVjm3aWPbhjWHpmqwIAl\\u002fHYrF+IgiGA+zp5Jk9Kuhz5861q1ZhjjVGky1osWpTvuz9pQBfa4ZVOww8eARAaWYualSdzbFi6jWYXD7kd96JSbXYWXR7++p268aScLXbVqk2AQ+V5Q7R0dr93XwD7bfpDPNN8Thad7icEa4T+oxNhzkBSIEKu6eIiGs72LxXdOo6d+55qniM7LyFrL76urZnUzJC7N\\u002fHHj6MZDJKEJiyHpmwh2bp2ixCCOM4jtCSw6CNZ2FPYY8K+tSpU40xRhjDkUrC+sYCpbBaGfsLIcgUAk4d2wu3Ir4Fl5zR1tO64cY7aHnmZdvVc3fXk2\\u002fnxSz2FCuVy3b02rRLOtk6geR9wdbJLcV5ye3YitniEopaNwwfwh6OJZUBozWqqtLy8L8+r9RLDyilv9YP7cvB\\u002fSvJ+0HZFW1KwPpGj8ZWT4DGaI4DmDp16u66lLKwxwS9SAA5c+bMwUbTXwrN2s150dDqhR73HR9DCIHIF9jn4H0A0UbbGzq9vPWbWPuHf9n2PbubWz1cuHbkzbcvjg2lFjuQbrNNLIJTVYmqqsCprmoLN+1mCCWtFeS2tTLe4vuIQ9kLKcPuv8+7CsbYhKrmVlb96q9Fd3vp68CAUILjxvYlVwiQZUq640gaWz3WNRRwpMEYc+Bjj01x9nRzhz0m6MUZTko9WkpR5fsBGxoLFHxTVkGBAPIaBicF+w+uK30GRatdsOE\\u002fM8ksWBKuV9+H+2zYvnAWBycp8tCGf9tH0PtzF7HfE7ey7+x\\u002fMPbBf1N7+jjbIaYTSTqdH6\\u002fBb07hZZugUOhwPbxHF5a7GUbbEGrT\\u002fY\\u002fR8swrNusvXL5Y2m7BkP2G4GhdFiGFwWbINad9NjZ7InRW1nneYUMB9mTZ6h7zuoexRQ3OiGQyoXK5bLB2c0E5ssz4uRDkCwH9+tYwbIhNwJDCrsGFkviNzWz4+62oePz941rfUUwcsJ6kbT+N9O1FpG+v0t9ufZ11HO7GV0NGotSdeSL5lWupPuFI3F71oSNKlmLcXmPL+7+MeL9grKPUb0qz7i83UXXsYW1dXcL7fsDAaobVRlnjaSKy\\u002fFuxvrGA5\\u002fkoKStzaX80sKiYHLZbrmUH2GOCvnHjxqIjbqTjKPxA69UNeVVuWaoQAu15DOjTG9Wr3vY4l6KUqrpp+r1klywPqaDeH0E3pmPTfauBb29nu28Y6tmt5bLhGFR1BcP\\u002f9vPtbyIEqRfm2IlS7PEszt0CEwSoyiRNDz5J5s0FJPYfBVojhX0PBw2up0\\u002fvKpa900Qs5pSRJWdQSrB2c0HkPR0kk0mVSqdGADQ2Nu4xQd9TprsIC1mkMYz0fZ9MXsuNTV4xx2SHMBgUhiP7JymlEhuDUAqdy7Np+j1d0uxsW6938B1tDu73He2sERPG9psfe5bGBx6zyStmjy4xdyusVm9hw7\\u002fvANqWflobREUF9X1qy8+9wJKTrtmcx\\u002fO1UUpiDCMBLr\\u002f88j1W4LJHBL2o9R555JFKYCAmYFNTQRS8dskfOzoGtjR132H1gF33Fh1BqVffsq2SKpJdi7m1lDAT\\u002ft3+UouloY5T4inf3RpU5wukX59HdsFS+yJvFWYSUrXFnT94yrwEYwwyGqHpoafwNjVap6TWFG3LIwZUhJ13yzmWDc81tnqkc1rowAcYFDqf9Z5ap+8R033q1KkCMOl0OimMGWBMwOZmXwbalOfdBJtIJaDPqMH273a7Ndz1IDpfQMajlM0gsAsghNixI3FrjR4Kf8PMh2h84ElkLIJwFM1Pv4RKJHbP+MNzFtas5+2zLsPbuJnqk45hn+t\\u002fSaRfrzARRlN1wpHUnTGOTXc80Jaf8EGE1shEnMy8RbQ+8zJ1Z59S0uoABwypQ0lZ9lwnsGX5ja2+6NdTY4zpf\\u002fDAgUmgdTddwQ6xR59eNCpqnUik0mhjGlMeflBez3MBeAYGxaGud639zNhkGZ0v0PTw07alcRd0Im0RXmvnpW956kVW\\u002f+061v7pRlb\\u002f9nqyby5ARCO712QWwmbSxeM03P8Im2c+VFqLF4s7kofub4W8C97LXYrihHv3w2H2b9uL2GefAZTdvhd7C31taGgpCK0DQAwQPXsmds\\u002fAy8MeEfRiaC3ImyFCCBwlTENrUdB3LOlSQCHQDKuLUxUNw0+hZ731+dcorFyLjLjvv7lZLBzZDgyE37fLkgshkwncWB1ufa0lpohH3x\\u002fhMgaMRkYTtoCm\\u002fbCEQESj7Tbuil6PXQNjDNJ1aH3+NYKWVPic7P2vrK+mKubYNXsZx7IlEJqGVl+gtVFK1UWMqYGSNfu+Y48IejHvNxBikBAC3zc0p\\u002f3yBVMIPF\\u002fTpz6JirvhbuH6\\u002fPnX8Boay2Ni2dUIPdVlbbc1tLbMJ+HPTqV2vhdojQ6z2rZAOaFOKdr5FfZeCDdCYe0GUi+9YT8Ir706KhleF6VQtsUp8AJobPWQApRSBDAQYOruGvwOsEdNd2FMT0cJcp4mk9M2x7isjDgI\\u002fIC6XrUQiYRZTLY6LD3n7fD33T\\u002f+LQaEdaaJd7ulBoSQHWuF7XG3vU8QQmDyhc7tFApCpF8fvPRmvObNe6+JbwzCVfhNzaRfn2s\\u002fCyfbeNxlUI8EhUCXl8wlrIWQygYYYcmJEdrW2u6hVNg9OgUbY3pIKSj4mrxnQnakMiXdD0j0qAGk9Xw4Cr+xmczchZZY4n1svmDyBXQhj8hH6Wj82vPbPt9eGN3z0V4enXO3KVMtm2T8PUJ3UtCLQYR+X78MVV1B0NJK8uB9gXDiMO9+zV0SQpF+cyFg6cgCQEVc6uuSBME6hNixyBhs8lbO03i+peAyUvWAPVfFtkcFXShRJ4Wk4BuTKwRIykuWMQhcHVBTGZZQhi+UzmTJr90QFpHs7tx2+7yE4zDs2p8StLQiXIf4fiPt51KGmW2Gwqq1NgoQiWyrqYspsJdfRM2px29DPLHiB1eTeuUtVHL3Z\\u002fjpXL5U9bfN\\u002fRMCkw+\\u002fL7oYwgkoOqgfg6Z9bZvtwVbR6XQGncsjnd0fMnxP0Had7q3faNmBIm74LCSJykTYsruMxKFwAsx7hoKniccFBSPK4w7bTdgjgt5z7lxbAqLpKaUgX9BkC7rDKsitIbCUPXFX0jvhlD4D0OksJpOzD2h3mZAdlE9WHLpfx9uET7zlqRcxBR+i0aJdt80xYsMGERs2aJvTqdpqm3\\u002fdkcnYAbVSp8ZeTJABEAK\\u002fsbkUWttyN9tGOrtgqXXQlWioRCnDx05qoi0PwhgrJK6i8f4nbJ7DNven3d87Me5dDYMV6qC5FZ0voCK2pZeSikgxw7IsfWyQErJ5TcE3JmkzNnvueL\\u002fdhz0i6BvHji0+qaQQ4PmGQqG89Q+ABuKOpEdiy+H7za323etkOMhAeUUvYSnn9ggoSgi1tpCSpkeepvGe\\u002f1mWGa1BhvuXsQY3Iffau57DUdt+\\u002fi7bW7522XY9YOcj1yXz2lz8hmacumrwvDAl15TizE0PPUnmjQUkDhgV7hcK+BaTjdji+hvufoT119+CTMbR2VyH\\u002fgfhujscd\\u002fuCm22ueXsoJ69h6+0dhyCVLpXbFq8rUZVs74h\\u002fV9gpUJD3NAUvzA2RsmqHO+5G7BFBLxJOGIwDVkMHxdBFGTdSG9uIviK2pUb3W1oJUhnrte7MrC+EZVJ5t5dCCHQmi7exodTp5d1gCh4N9\\u002f2P1T\\u002f\\u002fM7rglTqzCgN+Y4t9cbdHpRMqS+PrjrW5EHZNn8lifF1aw4sw17\\u002fDYwbWk288H4wO+dnDfHqjkdEouRVrWHLVjxj62++XCmxkPGonAkcSpLIsuPhLDP7Vd6k69nCc6soOq+t0Nkd+xRo2\\u002fHMG666\\u002f1fY\\u002fa0dS6Te1K5QJ76vx\\u002fW3HLex91Jmc\\u002fV7aiSpoTZdVDmv8AJ3Pl+\\u002fUFALj+3ibGkv3prhndVwRUeXxGIaHIgjC91qAECa64712H\\u002faEoIupU6eaadOmASiM5d0uLX\\u002fKgbGkEq6zpa2vEnGqxx2JiJQbgzYIIdGFPJl5i63XuYOXwvg+TmUVTQ88wZvPvWoJLN51rMJOOk0tlg7JdW1KpbL1z\\u002fMnfbHMRgyGwup1qHisrXwyCHAqErQ8\\u002fTLzzvj0FuakELb9lN0+tAT8ACdZycbb7qH1lbfQ+bzVclKiM1mCVAahFEZrZDxGw50PkH7lTarHHYXbu57Uy2\\u002fY5KMgsGSZ76xmwaQrSe4\\u002fisQBo3F71aOScSCcCDc1kF34DunX56FbU5buyXEgCJCxKOlX5zL3oxdvIehGawprN1gfRmjBGK1RsRgNsx4m9cpbbew30k5y+dVhrsT2LJ5A4\\u002faoIT5mHyu05YY9Q+uFrSawqBI4nXSj2RVOOJkHHz5Bp40NUyiwclPU6OWJp+2c6hYfRkiYUHHEQex7\\u002f43lz+BhpVh+zXrePvMz5JevQsS2U7suBTqXt9TH5bwzUiIrktusR40fkFuwdPvafMujWCHZgggPUDbC0Lph07bDjES2oHwyxnZHyS1eRmbuonZraHtNMtbOb4BN3Cms2cD662\\u002fFmAAZiSGT8ZLPQcRchIH0mwtIvfQGxgSYkNtHIBHCdneRsahloG1PKy0stVd2wdKtL9Ne59bPTUoKGzaRX71uq+2FFfLt8e8pid+apuaMExj579+jfb\\u002fMuv7icwqPT5vDMabamjGWA+vqMCFjtMAIEQGYG\\u002fqn3m+874Ie9kFnypQpjjFF0123lZnu6D6Gs4GUEjc0n4t3TiiJUJ2fOEsv+zbn2tZkLpsIoshpts3JhDWHt9q0oylOsP3afOGq0stodujYMohoFCce2+Y023DhaY1wHZweNeHbatqVqbYNU8ZjiEScLYp0iocxdp8OC4qEbeIgtprlTNF5ubWz33FK3PTbjHura9xmXyVtiq\\u002frdG6t3gGijsSRbfNzOa+p3850NxAFGDduHKE1+76i66Qyhc+5U9j62YUvWNkohrG87TdYpB2ba2cGJsKXa+vxGD\\u002fYUiuY0Hm4VaxcKBW2N9q6xRCl8Zh227Z9b7bYpg0BZntFkh1MaMWxEug2IRSheEqJULLNEdd+eIEudcURrtsxqWag0R08p+KSooTwd+15W3npizu037eDppDa2Putg21M8XeH2IZWyx565ycL8V5nmveI913Qi9c7bdo0f+bMmT5Y7azK5IkrPmStNV5YI1x6rzujcQGKln9FYtuX3RhUIhaurzs3Axmt8RuaAGsKlzS7EKiKhH2JivKoJDqX39I\\u002fIAR+cwsqmcCpqqCkQ4QAqUL2F128aoJMtiQI1tQvJ+pgSia7KXZAxU46QSaLzuVQiQQymUA6KnT0aYzW6GwOv8mObwtOdWNQlQlURRK\\u002fqRV\\u002f02ZkMmn9Ee0FWyl7H9rrRiGt4y1fsJclrZmP1jh1Ne2q50yb0AZt91Xn87YDjmgzL4Tj2AmH907HlfOsdnZFGbeW4gorNPftWj0P8Pjjj7\\u002fnsewM9ohGL3atEAIfBErYGl4\\u002fMJTDci+wzef9oibWBiRk3lrIumv\\u002fEzq6yhoJKEXQmsZvbLZC0s5pNvjn36Jq3FGYgt8hceL2BqcLHtm3F7P++ltpfeF1VCKOLng4tdXsc\\u002f0viAzoC9o2I5SJOOv\\u002fdjOrr\\u002fk7bl0PywJb8Oj58YnUXzieSN9e4UtuY7wyEmljigWQioUXfYnskhVIRzHk6u8THzO81Jl0+5durZmgNc3y7\\u002f2a7MJ3kLEYfkuKyiMPpPbMjxLbZwjR\\u002fr2tme4odN7DeB7exgYyby5gw3\\u002fuIr98ddj0waDTOfp963L6XPFxcouW0XjfY6y\\u002fYTr+5iZkRRy0QefyJPYbybA\\u002f\\u002fxgVdqk1GKTrsvHWe1j1iz\\u002fjVFcRpDMkxuxDv699hviYEaVlClifA2HKrjEa4ThsvPEOVv\\u002f+H6iqpE18icVIzXmbZd\\u002f+BTpXKM90F6Gzs6aK\\u002ft+5wvIZhO9RTmsCY4hQ3jrdGOs6UiE1mjCmADC2LbT8vmJPCLqZOnWqfXMNQbEksMj3Vi6BttbgFTVt+DS8DZtY\\u002fZe\\u002fI0WsvGnX7owQ0sa522sNYwha0iT2HdHJy7OoOGQ\\u002fak8fx1sfvYjc4hU2fq4kyQNG47bjhgOI9OuN0XYyCVI5aj52AiP+dXX5Jwvz\\u002fI0xVB51EPGxI8veNWhqQWdyCKkwBY9BP\\u002f4qfb\\u002f8aVTy3asq684+mfoLz2Lhx79K+o35oecd3B51uD1qcXvUUnnUwdRNOIWlV3yf1JvzcaqqQGeR8RgVB4\\u002fdhowyOqhfaG77ODVVjPjXb0nsX961qJqqkCyi6IB0yS9dyerf\\u002fI2yTW4hMKZAfNBg+n71M6iKJEWNUQg6Tw0ghWgz0qQsv2HBbsAe0ejFVkyE\\u002fFlShm3KoCxPhxQCL9CkclarFTd3e\\u002fYgUtVj257eO4Jhi7Ww0QaZiLHubzdTe9ZHSYRprR0719p5uIsvGtiwVl0N9ZPPYsWUa1AJKwg6m29rLugHdh3r+fbChcAUfHpMPMUer+C1xeu3o50bH3yS\\u002fLJVyFjUmr4Fr3QNQoY+gq2dVMX+b8Cm2+8jv2wVAH2u+AQD\\u002fu9Ku7\\u002fvtyWrSNm21i5OyEFAbPhgBnz\\u002fShZe+OWSQ7DISa9DLvSKQ\\u002fdn1O3XMu\\u002fMz9jecuGkpLM5O5mEE5QI+64jBTpfIHnofiT2HxnGz2XJN9Dh4yt4NMx8yIYB203+IuLixoudcMuAlOhsHndAnzYLIty1NR\\u002fgBcb2iSzjUNuY7tDJiqFdiz2bAotJGQOuEkRdSToXUM7sK4Ccp9mc3rKsUlYk7NK1swkzW8MYhOtS2LCJBZOvpN83L6furI+2NVAseaANmbkL0bk80cEDcOtrS+Mzyn6fPGirrpxh0oc1na35vLV\\u002foNS7TSkQEgR4GzYTtKbbHE7akF2whOXf+w264NnYOeA3tVgtHeZqO9VV29Qo6lSG3IrVtDz1Iit\\u002f8ifb3igepc8VHy952dtr26AlZRtgbHGz7TVUjzsat3ePsHUxW0wOQkmMHxAd3J\\u002fh1\\u002f6Utyd8LsyOoy1Drxh+3KqBhNuzh30O7brc6EyWwrqNW2znNzSx7i\\u002f\\u002fIf3GgjC5Z8sIRKdINqXt7KoS8VLjiiLxU2trFr9Mx2zRqog4gqhrWzEbY5rLH8iuxx5NgZWITVobIq4kGpFWYe7Ab2Kw656Ur9mQaXPGgY0hy0TMFl90ghGkQ2iNjMUorFnPgsuuZNQNf6L3ZyZv0exPFzwWXfoNcstWER8xlDGzb7DC3i5u7Pass1lx2pQX3zfGLiPCohCjLavtiqnX0DDrYctqG2rXwtoNdj0aDbPuHMXSK3+ETMQx2Ryx0cMZddufrFVgKB2rYfYjLLnqh+hM3loCnkfi0P2IDuprlxhCYgKDUIKNN89i1S\\u002f+QqR\\u002fb4b9cRrxkUO3aEoo41EifXrhbWjo8PqEY6MHVccdTp8rLmblL\\u002f64Y4epMdZsLob3jD1fy9Mvs\\u002fjy7yFjkVLEJGhqxWtotNu\\u002fxxx4ISh1cJHRYhzdXmehORWmVpd3LK0hHlG4SgitDUKIbZMe3kfs2fCaZJM2hogrRDwiMZgtix+2A4GhIBSN6dAaKlaSRSM4ddUUVq1DyF1QKaU1IhLBUcm2dNH2MMam3GbzpF55k6CpJRT0dmONRJDxSMf7dwAjwiSWrRA0tVBYsw6dqSqZ+jZnnraogBDkl6\\u002fGGIPJ5S07TAcvv9\\u002fcgtewiWjvftaT7vs4NdU2QtB28YAiPWcembkLSc2dQ90jpxAfObTk\\u002fIQwMagyCe9GeRWa+32\\u002f9Ck23HgHOpffLgloMb6uSrkGW2ro\\u002fPJVtr2zHwBW4+8ySu8wBdatr7WWVLj8AUO2NVP6vazjALGIJOJYjS6M2fzeB7jz2KPEE1rrzVpbEyfmyvKbqRgDjiLT0Iz1nNvLcGqrSIzZx77ku6qGu11lVkcQSoFSoee5tFPJxBNKhXnt5Z1um7OE5+1x\\u002fhnW4x4YZCJhJ4Ni0Un7zWMRZCKOTMRtp9GOzuE4COFuWZBSTCfeamKQ0YgN87mVBE0t4YdlxpiK55MSYzSRvr2oP\\u002f8M2\\u002fBS7ODVa1\\u002f0Ek4UyUP2I7HfKHQqg0zEkHGbqrpLmX4FxEMHrAkCKyCeR0NjipC6uSxobYhGBBFX2gw52Ax7rtniHhV0idwUBJpYRBKP2htSjnlrl6+KpvWN4BUs2b5vzdLkgaPRfmHHL9KuQnGNGcaYt0aJYqncN6Q4sRT3D9exPc49leHX\\u002fQK3Zy1+QxO6UOiYmbVY8fZunUa3LhPtEPY5yIStgzfFghg6mIzKgMBeR69PnY+sqrRFNh0NrUgMVvKztPkw3J51jJ7xZ6pPOoagJUXQmtp1E3pYKOTW1lARkmcgrX2Rz3qs3pzBVXK7mYrbHk6QjCmEQBhtUMrsUdN9jwh6cVaTsFIbg+tIqpJO+W+QMTiOZN2mFDpbCC\\u002fCPoCKIw7CqarevZ1O2qN92aXuuO2wcN224oYyjpdfsbr4R9s5jKHXpedxwDN3MvAHV+HUVBFkMruffabd4Ttqq9yp4whBfNQwKo862NYMbHdbQW7ZqlDA25YlGEN89HDGPvAvRvzrt1QcfgBBS3rnx7QVTMHD7dOL5MH7tZ0TaPYMixsLRJwyiVGMwVFQW+mGARZNEERXwp7rqrpnWWCjYpnRmiAwoq7Kpdy+a9pAREneacjSmg+1n7QOnqpjDiPSv5cNM70fWYdBUPoxfjtNXPpFlF8fbwzCddh4011212LZaTGsFWjcPvUMnPpVxj50ExWHHmCTQd4nqqn3hFBQZSJOzcnHbL\\u002fziTHIWJTUS3Msd1uxPVVo7RXz7usvPIt9H7iRft\\u002f4rM0qfI+880IItO9T9ZFDStwBRc7XVFOKzakCjizPdDcGHCmoq3QMQgrP81qCINsItlX4exroTmKPmu4RIg2+77cghKirUEaV2RfdAK6EZWlDw0YbtTAC0BpVVUHVMYfbGPRuE4C248qKJLKqAllVQfseHMXrMJ5vQ0plvIhGa1QiTvPjz7PiR79vS+ktxq7DflXG84iPHs6QX34nfCH3LlR95LBtQ5VFGJu6GrSkWHrVVOtYLVbwtfP2G99HJRMM+uk3SBw81jILvRdhD+9x7ZkfLQ6jhA1L1nTKmrFLS0ldlWOkfX4r4\\u002fH4rjM9dgJ7SqMbAMdpzSBYLaSittI1Trl9b7Ci5hlYv3C5\\u002faDdsrPH5DN2r5YLDy2jEfa99x8c9Oo9HPTqvSRGDgu\\u002fkKU1cmHtRrzNTZYvrQx1YEKNtvrq61gw+SpannllyxxuIRDKpupGBvcrhc72Cojiuj\\u002f27tTQWiOTCVIvv8G80y5hw4132FBiO0EuJt4IKYkN6W8LX3bWggtr8+NjRlB5zKHthwrA2+9sJDDlUT0X4Uioq4gYhETCmlQq9eET9GLe8cknz20VghVCKnrWRIyryve8F+t9FyzZGH5iSsJdecRBJA8aS5DO7t5WQkLg9q63LY\\u002f79Qoruiwve1ELbbzpTlvF1kEZ5btBxqJsnvkg8067lLdO\\u002fjiZuYsA2jK\\u002fpITA7J1dVMoZbijsuWWrWPLZ7\\u002fLWCRew7m\\u002f\\u002fDb9rt25vV0u\\u002fsxDCZuPVnnJsW7tqKUuOwedXprbIeXr3Y9n3srrCoSIhjVIOwIrJkycHYf+1D5XpbqZPn66EmKaBRUo5JONK96h2OzFzCrSG51el7AGLKaR+gKqupO7cU8uOXe8ySBmG0xQ6nWX1L\\u002f\\u002fKptvvt8QNnW3IYAxOZQUyFqXpqSfJLVle+rztfOL9iy7sSpSrGYt5DLXVZBe9Q9NDT3W83XuczIuFLD0vOdcOL\\u002fQBSimhkGft2iZMJ87ha0O\\u002fHlEcFXZkVWIhQL9+\\u002fd57Gd1OYo8lzPTs2VMACCMW+H6Aq6Ts3yPCO+uyZSXNYAy4DivWt2IaGpF1tTZnOoyp9\\u002frkRNb9+d\\u002f4Ta2hebsbJlJtWH31dWQXLrUVVaFnPWhJk1v0Duk35lsuOjvgTh\\u002feaEuY6TiVHRNSCmHX7e8jh\\u002f37jrCMVsZiYZHJtihV9+0EhJL4za30OPc0kgeOsR9KG+qVQrBhxUY2bmgiEnHKchQLIQi0oU9dxERd5aRSaWOwgl5bW7vHHtQeE\\u002fRx48bZi5Z6UTqdCRJRpfr2iJogMEKUYY4ZY4hGHdaubWT5sg0MqasNZ09bgBHp14denziHVb+8FqdHTaf6W5cPQ8PsR2h++nlkpF3duTEIR21Zi\\u002f5ezhJsJ3dfgFACE5SZXvt+I0xTza9cg87liY8YGjLh7oQG1h3nKQBhzvzODdEEBhmP0+cLHw\\u002f\\u002ftvkY2hgkgtdXt7J4U4ZkRaJDsoytYfPcoU9dhIiryOTyrQgr6JMmTdpjgr7H7L5iiE0Id77WpsV1Fb1rI7Z+t4z9DRBVsLQ1YM6KJgD0FkFfQ+\\u002fPXkB0YF90rmPSx10BmUzgJCtxqivafmoqbWXWbta0tjNrVzbd7ZPUrRk2336\\u002f\\u002fWiX+UzalMHO+mFsWXCa2o8dR\\u002fUJR9mU1zAPv+hHWjZvBVktkGUsrQWW+7Ayoaivdouth5oKhcLi9sfcE9hjb8m0adO0MUa89NJLK4VktTaSPj0ipq7SxQ90WXIptEFHIrwzZylgkCrMeZc2gyk6bBC9P3shOpMtnziiswi50bb5eR\\u002fMaWO24nPbDRDteNp39jyyIkHDPf+jUCR53CXLqDYrxpTrKWsPYRlzVGWC\\u002ft+5Yhunngzz2l98azWxiFPenC3ACwx1lS5966L4WiCkmDt58uTClClTdn59sQuwR9XB1KlTxbRp0zSIF30NfWoj1FW6eH5590MbQzwieeTNtQS5whYXUzT\\u002f+37pUhL7jbSZWLvTA78noA0Udq\\u002fDUbgOFAphQtDOLX+E61BYs56Gux4C2LW56RA2W+icpAulCJpT9LrkPCoOP6DUXANKrhaa1zXyzDtNRJ02D\\u002fy7HhPL5d6zxqVHtWsMEiXkk7DnMuKK2KNvfjsCiqeEkCRjyvSrj7SvCXlX2I4\\u002finmbC6x9cwnQLvwkbJadqqli4I++0pbf3QWXsh2iWK9d\\u002fOlImwYBJiiTs7yTKB6y8rgjiA4dhIi6pXp7q\\u002fjanXNHp7cxJzbPehjjh7Rc5Wj1Yu3+u90DgyX37Mw9EJaPLjZiMP2\\u002ffUXbWNpbCMDLLy0m1Zoru5jFhEMe1jckGdEaTfAS7LnmikV0CRUnhP9GPp\\u002f3tDFyeL+4taLK3NdRgky2wOMvLwOsli8dN2RG6XHeafS8cDxBc2vnyCP3FLRGpzJtP0F6q9z9cO1b8HadMbjVy14khag84kD2f\\u002fI29nv0v\\u002fT61Pl2Eym3zIHP70CjBhpVmaTl2ZdJz5kfprKWkeqczbfdg1zaNoHcetg6QHteOOwyC06kCGmzvk6kXy\\u002frTW9n7enwHjz61npaChqnE8lXQgiG940bIZTKZ7LrC4VgMey5qrUi9mg9erE1k5TRd3zfXxyPxceM6B\\u002fXEVfKcpdx0hiy0uGpuev4RCEHkVhbbjihF1RrBv74a7Q89yqFVWttnXZXDEmFFVTRQf3o84VPWJZTJdDZfIm7ThRLRIsUUe9ZT9jU2iCVCTu+tgvjhcsft09P3D7tegSG6cZgGWgLq9aCoyC\\u002f\\u002fXsqpERnMmyafg8Vh+73LgpYlMKkfa\\u002f4ONFhA62p7\\u002fnERg9vOz+UrDTRiRshHAe\\u002fsZlel5xL\\u002fQVnlUKYpbthDI4UZBpbeePN5bhRt7ywGvZx1VU59K2PajcSUSbnzXvz9TdXG2PaVefsGexRQZ82bZqePn26Ouussxpnz5r1spTOmB7Vrh7cOyYXrc7YGvUd3B6tDclElJfeWs3qdzbSf9RAGxppr5kCTXRgP4Ze8yPmn3eF7Qba2VtfrP3WBooe2M4mwRT3KfKvFctJi97jIvFB7570\\u002fdKlHV2sHUpgmyxkFyyxWXjRdwlHFsdsaBt7u22NNsh4jMzchRRWryc2bOA2veVMseRVinZNJayHesO\\u002f7iC\\u002fci2qMkmQL2x5XaJtDEYbpBuh8d7\\u002fMeA7X8CpqWybbNuFJUvxKceh5yfPIXnw2I7vgbYhTJ3NkV28Yku+uO1BSYJ0msTYEQz+9XdL97z9rKMNKAFzF6zhxWXNVCSjBGU8ZyEF+ZzP8H6V1Fa6eL5GCPP8tGnT\\u002fHHjxjknnnji+5y9tSW6hOkOEBjzeCabozLhqH36xa1Drox1lwZiwrAkJ3n52bfDPhBb7ldsNlB72gkM+O4XbB1zp0x4SzSItI0Z7NpRWC3WGQefEMhELGTDtK2LkDJMhmn3Mm1PaMO1qnAdckuWs2LqNTYTb3vbC4GI2nGj2sa+xflM2BN8QwMrf\\u002fz\\u002f0PmC3a6dp11IafnRw0YTtiOOYsO\\u002fbmflT\\u002f4QknGGp4y4pTEScszLRMzG\\u002fGNRcktW0PjAE1usvYtc9GKrjiwdOu1K+yiM77Pih78lt+idHRKCCiHAC1CxGMP+\\u002fJMw1XXbtX3xz0cfm4e\\u002fTT+Z7cPOUYJ9+sdIRKVKp7OAfBDa5YzsQezxTi3FJAIp5SOFQiEXq4jEhvePm3hUCV2mxtQGIq5k5tOLmXDpyTZ1MUQxASJ0iTLg\\u002f64kO28xm267B6e+dsdpssYgpMJbv4n8slVtxwO7li62At4RQm2dem0u0UH97Zo7sOm6+ZXrEDLUSFIStKZoeeZlS5fU\\u002ftgGvE0NpF6aw6bb76OwZj0yHutYkwmBKRTILV5WYrgpcsZ56zYhZFu2oAk0qiLBptvuobB6Pb0\\u002fPYmKow\\u002fGqaqwJIlKgh+g8wX8hiaan36ZxpkP0vTY83YCUCqstxcUVq0lt2Q5QTaHQCAiDoU1G8LCHJvFt+mWWcRHDGmzqoxBxCLkli634wofaurlNzCet2UZqoAglSG3cCkN9\\u002fyP1mdetkwz77YUEwIjQGdzDP\\u002frz6g69rAS95\\u002ftDadLRTJSCIKWFPe+tgbXUWUZbe3j5\\u002fv0i5tAS4HwV4F4yZ5+z+S3t0eX8UEbY8Tds2Y9mUjEjm1oyuif3LRMbm7xcJ0dd3ARgIegxng88OuJDDpsDDoIkErhbdhMbuE7VBYfrlL4m5t4+5zPk3r+VVRVZVkliLY9UwcMMh01B3y343hbOdAEpRz5to1MibZ52wOEKaGRyJZdUra3bUcEHFufrzQW2xEVA7IiTqRPT1RlBcJ10Dkr5N6GTXZy1AZZkSidp3TK4n3a6hpL9ymc8CzDTPv1kyhp6vb3arvmeLh\\u002fWwPI7UOETSn7f\\u002fcKBv\\u002fsWzZMKKxl0vL0SyQOGI1TVUngByhH8ehDr3Ppj++1rLLlmO0CCp5haN8Y3\\u002fvEkCART6h0OvPvsydMuHSri9xj6BKmuy1wEUYqNVspl+oKpUcNSpS1NoJilpxgTcpn5uMLwGiMsB53p0cNzU88T8vTL1nN4\\u002fs4PWoYcdPviI0aRpBK77DXOWA1VySyzU9nQ1siFNDSTySy7flDgsgOfxIxnMoKa5LvyKEoRIdj3u71GoNKJqwAa0N+xRrSb8wn9fKbZOctxNu4GeG6yGTCkjO0rw0u3Senw2ss3aew3lxEo+H30bbftypdFZHI9u9DRdK20tqRkDsKv6GJXp86n8E\\u002f\\u002fWbpngklaZz9CJk35+NUVpSUgDEB9\\u002fxvHi2BKNvcFdiGigcPryTqSAKbxPQgwGOPPdYlwjxdQtAnTZoEgAqCh9PpdNpRSh2yT8XW0dp3hdGaSDLOfU8uJNPY2tYKRymqTzqG5d+\\u002fGm\\u002fDZoTjYHyf2OD+jPzPNUQG9Cn1CH\\u002f3E9AWi2\\u002f\\u002f01l0dIyODtPhdqbEu162I7Dc8xU3LzrSwAp1PBoSTUbDJYBpyzvvzLjL2aYz271b7nsIK+TN9Dj\\u002fDIb9cRqINideduE7rPrlX6k7+5TQtBdIAeuXbeS+l1dRnYiU54QDtBHEo5J9hya147gqm86sESL3BMDjjz++x9fn0EUEXUoZGGPEC6+9NkdrPUc5ETG0T0L36xGl4JdXtqoNJBx4ZWOBlx6dYz8UYSz4qINx66pZ9OlvYgoFhHIwfkDywDGMuu1PRPr2tJp9b4ixv58oRRrCiWUvqnsvCnndhFMY8c\\u002ffWL7\\u002fQCMcRdDYwoILrqLqmEOJ9O+zBW3UXffPYWPasy2SyzmPgFwhYGjfGAN7xYxGGqHkM+PHT149ffp0ZTM\\u002f9zy6hKAbY5gxY4acNm2aVkLc7fmGnrWOGD0ogRdsGed8NwhAK8UN98+FbCacwe197v+dL9Bw36Ms+dJUbGhIYjzftgya\\u002fmeiQwZYb3wZZnw3ujBC+i2\\u002foZkek85g5H9+j0zGMV5YlZbLseDSr5J\\u002fZyV9rrzE+jG0bbXUurGJWx9biBNxyp7TihH8sUMqqIhJ4QeBEMJMhz2fJNMeXULQoc37XnCCu\\u002fKFfE4bIY8YXUUsoijb+64NiXiEJxZs5LXnFiKFQBtLKFhx2AH0nDyBtdfdwLLv\\u002fspOxWGIpuKwAxhz9\\u002fXE9x0RdlXtFva9EqFC8Jua6fWp80JNbj3ywlUYP2DplT9i0+zZ9PnCJ4gO7o\\u002fRBi0lQggeemweb65sIhl1tsiwfDdoDRUJxeGjKkxgpMzn8mtjnn4s\\u002fLpb0LeGsLnp4twzzl1kjH7QjcQY3j8eDOkdwwvKM98N4GBowuW\\u002fM18BdKkXuXAUfa78JJGa3qz9\\u002fQ0s\\u002f95vrKUQOujiI4ex7z03UH3SR\\u002fAbmm1IqSvWeHejQwilIAjQmSz9v\\u002fsF9vn7r2zo0Q8sLVTBY+lVP2L9P2aQHDiSPp+\\u002fONzRNkLUuRw3zn4dp9g+qwxIAXlPs9\\u002fQCvrUxQLHjSKlvP2Uc8\\u002fdbIzZY7RRHaHLCDpgHn\\u002f8cYVVwLfm8h7JmBJHjK4ynm\\u002fKTl0ItKEq7nLna+tY9Oy8thZsxlB9\\u002fBHUnjYOhGDN1dfxztd\\u002fghDCOug8n0j\\u002fPoyecS09LzmXoLmVYpfPbnRtCEfZsKBSDPvTj613XQgI+9HpbI5Fn\\u002f0O62+YjnAden3qfKJDBtjGFFjT+4EH5vD8kkYSkfK1ucH2ATx8VKWJukql09mCNuY22PNFLFujS73F48aNKwa07y0UCsvAkQcOT9Krxg3X6uUdxxHQEEj+fMsLEDKoFrOs+n\\u002f7ClRVBbIyydr\\u002f9y+WXPF9Sw3tOhgvQFVVMOKfv2HIb74PgU2I6TbluyhCKi2\\u002fsZnosIGMvuNaen\\u002f2glI\\u002fOZQiaG5l0aXfYNPNs5CJGLFhg+j9hY+3ORcF5NNprr3jVbTjtKU3l3HqgmcY2CvK2CEVWqOENv5rEyZMeAYQkydP3h2URjuNLiXoQghjjJETJ05sdRz5X6RDv\\u002fqoPmREJVarlwetDRXJCDNfXcPc599GSIEOK9mSB+9Lz49PIGhuxelZx\\u002frrb2XhJ7+G39AUruNsMki\\u002fr36a0TP+THTYQPzGlraUzW50CVhTXRM0tdLj3NMZ+8h\\u002fqD7xaBsPx8bq88tWM\\u002f\\u002f8L7D5zgdxe9ahM1n6fulTRPr2AgxaSKQQPHj\\u002fHJ5bvJnKqFO2P6iYDXf0vtVUJmx7aynFDQDTp0\\u002fvci9KlxtQ0eQpFPwbc7lcszFSHndAtUnGy0tHhLa1eotw+eNNzyLyeZuUFX7f\\u002f1ufJzp0IDqdxe1Rw+bb72femZ8hM3ehNeO1xgQBNacez9gH\\u002fk39heMJWlNW83eH4PYsil71llZENMLQ3\\u002f2AUdP\\u002fRKRPr1DIrd+l9YXXmXfmp2l+\\u002fAXcHjX4jS1UHnMYvS+bbHMRACkE2YYW\\u002fjDjFVTExbxbR9gth4AXEkwcuW+VRjgym80sMyZ9F3Qtb3sRXU7QJ0+eHEyfPl2de+65iwLfnyWdqBjcO64PGl5JrqDbqtJ2AK0NlXGXWW9t5InZL9gcZmyKZqR\\u002fHwZ8+\\u002fPobA6jDU5dNenX5vL2WZfReN9jpQIO4\\u002flEBvRh5H9+zz7X\\u002fxK3Vw\\u002f8ppZSoUc33l8UMxv9phZqxh3Nvvf+g75f\\u002fpQNkXl+2NlWsunW2cyf8Dly76zEqalEFzxE1GXQtK\\u002fZfvCYYocnbrrteV5d3hyuzcschxAUPMNR+1bTs9rFCCUE5j9nn\\u002f3xTWGWZ5eInbdHl3xbwzp14yr1p2w2GzhSyOP2ryYaEZ3S6sJovGiU3\\u002fz3JfKNTQghKfa97nXpedScdjxBS6stZqhI4m1sYOHFX2HVz\\u002f8CYNftYVfPXpeex9iHb6L+4xPQuTxBJtvWLqkbuxUiZJfxm1pQVZUM\\u002ftV3GDP771QcfgDGD2xNueugMzmWffuXLLrsOwSZrK2aA4KWFH0+eyHVJxwZOuAEUknWL13Dn2bOIZaIlsXwagcDvq+pqXT4yNhqY5Aym063uprrYM8yvb4buqSgF4kjzzj77JeMMQ\\u002fiRMW+Q5LB\\u002fkMryXlB2Q1EtYHKiOTZNVlu+dcTW3jgRSTCkF98G1VTHRZp6JCDXbDih7\\u002fj7QmfI7d4eckRZ3yf2LBBjLzxt4y65Q8kD9wXv7G5zZzvFvhdDym3IMXo+clz2O\\u002fRm+n\\u002fjc8hohFLSxVWz6XfmM+8Mz7FmquvRxbz5g0EqSyJ\\u002fUbS\\u002f3tftBMCYDCIwOd3NzzJilaPaJk9\\u002f8Ca+3nPcNSYagb1igbKjSId+e\\u002fTzjln5Z7sxLIjdElBB5gxY4YEMPDbQqEQKCXFKYfVmaizYzKK9tCBIZ6M8ZtZb7H8tQXWMSesCZ\\u002fYfzQDv39lqJ2tsw4pcOqqaLzvceaeegmb\\u002fjsLoBSCQ2vqJpzC2AdvZMjV3yPSvw9+U3PIhaZ2fxvjDwFEKOA6k0W3pKg67jDG3PU3RvzzN8RHDbNaPAjbXmnNur\\u002fezLzTP0XLc6\\u002fi9KgGTMmrLpRkyK\\u002f\\u002fD7e+zjrQjEBJyZOPvslNjy+hOlEesQTYudz3NbWVDh89uFYLqWQum2tWgfmLMUbsaQLId0OXFfRir6oJEyb8z\\u002fMKDwoZkfsOTuiDRxTX6uUdxwARCWt9xU\\u002f+9Cgil8cI60E3WtPnqkuoO\\u002fsU\\u002fMaWUk2y8QOcmkq8DZtY9Jlvs+DiL5NdsDQkbrBrd1VdSb+vXcZ+T97GgO9fhaquatPwTreG3ymEkY0gnSFoTZM8eCz73PBr9n3w39R87Dibk95ei782l\\u002fnnf5GlX55K0JrGqUyGSy27ng+aWuj75UupOfX4dia7INvQxLTrn8RXLrITyWsi1OZHj61mYK+oQbgy8P1bzpg4cd6MGTNkV1ybF9FlBb09HEf8rOAVAimEOOWwOhLRzmn1QBuqEi4z525m5k3\\u002fQ4VVTABCKob86rvEhgyw5IPFtryB7fslkwk23\\u002fEAcz92CWv\\u002f\\u002fG90Lm8FXmuM5xHpXc+gaV\\u002fjgGdm0P87n8ft2QNvc5MlWpCi26zfEUIvOoBOWyLIisMOYJ+\\u002f\\u002fZyxD91Ez0+eY51wYbfUYkvlVb\\u002f4C3NP\\u002fzQNsx+1BBmOKuVKCKUIWlNUnXgUA37wpZLJbhnEDL\\u002f\\u002f22O8vDJFRVQRdKJQx\\u002fcNPaodTjqkxgQamcvlWpXr\\u002fgYQRf7Droou\\u002fwYaYyRgZs+edXs8njzX+NngXw+sUw+93EAyXn4evBDgGUGPIM\\u002fdV5\\u002fH0MNG2\\u002f5axoCSNN77GPMvuBLpRijxlhX3VQqdz6PzBaqOO4L+X7uM2rPCPtp+AGHcFiD\\u002fzio23XEfG268k9zCdzBBgKpM2pe1HT\\u002fchxpFiioh0AUPnckgEwkqDj+APldcTN34k5GxKBASdbQjyth810Osufo6Wl94HZmMI113S+IQKTAFH6e2irEP\\u002fpv4mH1AGzS2KcOzD73K5B\\u002ffj4xFEaYctvbiYQXpfMAF43ox8Zj6QDhxlc1lfjd+\\u002fIRvTJ8+XXW1BJmt0eU1+tSpUxFCmIhQP85mMjlthDzt8DrTs6ZIwFfecYyBqITVgeIHv3sI3dIacr9Z7V175okM\\u002fN6VBC2t24TOTBAgXBensoKWp19iwYVXsfDjXyH14hxrRjqObZfseUSHDqD\\u002fNy\\u002fngGduZ9i1P6X2zBPBGPzGZnS+EGqlD6mWLzLIBBqdyeI3NuFUV9DrssnsO\\u002fsG9nv4JuonnWlDYKE\\u002fRLguQilSz7\\u002fO\\u002fImX2\\u002fv+6ls4NVV28mwv5ELYGLnvM+yaHxEfs499LoCQgsbVG\\u002fnGn5+g4Lgoyq84EWFO+9A+MU48qMYEKJnJZNYp5f\\u002feGNPltTnsBRodrFYXQui77575+3g8+VWCXDD7uU3qv4+uIxlTnWJuVkrS3JJj2vgRfOn7kwm0aTPljWHxZ77Fxptn4dTVdEjDZJ12hqA1hVNVRf1F4+n7xU8QD+mY7RrRvqBFpF6aw6bp99L4wBPkl6wgyOZRlQn7Erdd4wdP2wsR0lPb69PZHDqXx62vJbn\\u002faHpMOoOak48lNmKI3T6Mh6NUqYVW+tW5rP3Lv2m46yH81pSltoIOSSeEkviNLQz6+bcY8J0r7CQg7TJP+QW+\\u002fN1b+c\\u002fzq6lOlkcqUYQUkCsYrji7P8fuXx0YGVHZbOZrEyacc83eoM1hLxJ0wDx05509847zeiTi9MlmC+Y3t62QS9bmiLqyLO5tCK1yKfFTGW76xjhOOv84tA4TcYTAb2zm7YmXk3r2VVRNVceca7QlbwSpNE5dDT3OO53en5ls2\\u002fsUx50vWFbUUHsHrSkaH3iS5v89S\\u002fOjz5BfsSbkFbdMqUUv8l4t9O2SiXS+YH0a0lJaJQ\\u002fel5qTjqXm1GOpPOqQ0i7GD8Je6G2TY8tTL7H+httomPUIQWsKVZHYYh2+DRxF0NBE789eyPBrfxYWJAkCYwtPrr\\u002f2Ab5948tUV8XRnWgJJaUgkws4bGQlXzp3YOC4EZXP51+LRGPHfexjH8sCpquG1NpjrxB0sLxykydPDu6++64vxmPJP+sgH7z1Tkr9\\u002fvaVnb4IKSCvBX3JM+vX5zLwsDFW2AGkJL9sFfPO+gy5xctRRU9uRwg1lvEDgpYUTo9aak8fR89Pn0\\u002fVRw4t9UbvSMt7GzfT+vwcmh54nNTLb5BdvAy\\u002foRHpRhFRN8zyUqWGDabI9tJV0G6dDaGGDYtJdC4HBqKD+hEbNYyq446g9vRxxMcMRyVsuyLrQQ9Ata2\\u002fg3SG1qdeYv0\\u002fptP0yDMEza2oqoqSFbW9yU84Cr+phdrTT2TUbX8sre8DbVBK8tRDr3Lxj++3dFidWJfbcBzEo5LvXDiIgb3iOjBSGs8766yJE+\\u002fdW7Q57EWCDjBlyhQ5fnw\\u002ftXp170fjsfhxBHn974fXywde3EwyLjtnwgtBSyHg2N4ut\\u002fzhkyT69rRaIGzPk54zj7fP\\u002fhzexgZLXrADpljhKHTBt51bXYfKow+hx7mnUn\\u002fB+FLPMgBTKISmaVvOvM7mSL3yJuk582l99hVSL87B29xgWxKFXn4ZjSAirs3uwxT\\u002fT7tfwhPsgslAlP6zxd+i3e8msPTPJmzaIJNxZCxGdNhAqo45lMojDiJ5wOjSkqY0PM+y27af9Aqr17Px1rtpuOshUi+9AUZbnrrQ9\\u002fGuQ3UUQVMrFUcdzJiZ1+H0qLE03Ng689VvL2Pi16ezMieIKVF2CSpYhZDOaS46uTcTjq4PjIypbDZ189kTzvlEcTlZ9sH2MPYqQS\\u002fe3NmzZx8ohHjGkcRb0h6\\u002f+O9yuXZz3qbIduLWO1LSmM5zwf51\\u002fPG3l1jzMCQeFErR+uwrzD\\u002f\\u002fi\\u002fjNrah4dMddQEMNZ4CgNQ1YrVZ71kepO+NEqo49zE4axevxfKvpt2pcEKQyZOcuovWVN8m88Ta5pSvIr1hjTf1c3k4UQpSaEBYTTIqposV\\u002f24iGw5d763dctPuluG1x6VAkXyy2gDbtSCm1xqmrITpkANFB\\u002fYiPHErFIfuRPHQ\\u002fooP6bSHERmvwfZBqi3Jfv6mFlqdfpvGeR2m8\\u002f3G8NetBKVQyUcpe3DHDq0PQ3ELiwDGMufNvRAb2beN\\u002fk4LUuo1M\\u002fsptvLAmRXXM6fS6PJvXjBmc5OuTB+qo6wrPD9aZXO6o8ZMmrWzrBLx3YK8SdGgz4WfNumtqIl4xxQTZ4JWFreqPd63CUTvmgN8aSkmaWrJ8fdwgfvjzjxMIZZMotM2qanrkaRZ94mv4qTQqFiuLAx4oMdtoz0OnMsh4jPjYEVSfeDT1559BfNQwVFVFaXvj+\\u002fbF7oBz3RQ8Cus3Uli\\u002fifySFeQWLyO3aBm5pSvwGprQmVzJ0VXUslp74cOVQJuJvcVxw9ZKNilUI5AIN4KMhj+xGDIRQyUSuH17ER85hNjwwcRGDCU6sA9u7564Peu2PW5Y6rs1T7vf1ELmrYVsnnEvzU++SPbtxRjPRyYTSNexHH9lrp+FowhaWonvO4LRd\\u002f2N2JCwR1s4AZpUhk994xbufnM9dRVR\\u002fE62ajYGIo7gmxcMYnj\\u002fRCBkROXy2c+cffbEf+5t2hz2QkE3xogZM2bI6lwuVqiuejISix8iTSG4+dF16p7nNpOMdc6EFwBKkmnJ8IuJo\\u002fnsd85DI21Ns9agFM2PPcfCj38Vv6kZlUiULez2BKLU1VVnspjA5tQn9htJ1bGHU3n0wVQdfwRuzx5bXqfWtiJLiC2cVNvcj4JHYd0GvPWb8RqbCBpb8BubCVrT6GyOIJXGFDzbEGKrcQvXRUQcZDyOjMdQyThOTRWqpgqnphq3Z+12hbl0\\u002fiLJA7YIaOvQZGH1OlqefJHW51+j5amXyCxYWsoeVIm4JQXpZH6BXZO3kjxwNKNm\\u002fIXY0IH2GCFts8gX+NaU27nh8XeoqYoRdFLIpYBsQfOJU\\u002fpw+hE9AiOjKp\\u002fL3JPNFSYCXHDBBUG5zt+ugr1O0KG9CX\\u002fnEUK4jykhYrm8J66esUIsWpUlHulc5pxlj5UUWjNcc+H+XPTl8TYnOnwJhVK0PPkCiy75BoX1m1AVie076N7lJHZ9HYaacnl0NotKJnH79iR5wGiqjz+S5MFjSybxNtB6S6EQ70\\u002fmXYnrvdicUgjbOqmDPOT8yrXklq4g\\u002feIcmp980TZvXLcxvNaEbe4QLm92pqNt0fFWcfiBjLrlD0QH97f3RQg0oIKAH\\u002f\\u002fsTq65fyFVnfSwg6UKTOU0R42p4osTBmghlNBGr5Wef8zp55yzbMqUKXJvMtmL2CsFHdp54WfO\\u002fFo8kfid9nPBkrU5dfVty8l7OmzgUP7xJOBLidea4a+fOoRzrjgT3xjbrSPU7Ok35rPwoi+TW7jUVr1tJ\\u002fRW3gml9dgHGpMvYAK\\u002f1CooNmww8THDSR4wmsR+o4iP2YfYsIElDdgRTKAhCNqFGS0bmpCCcJaxH2\\u002fRICh05BW9+u0gium726u715ognSW3eDmZeYvIzF1IdsFSMvMWkVu6AkIOdduVxbVWTfAeMgPDCIff0ELNaccz4l9X4\\u002fbqYY8pwwgAmt\\u002f+4i5+PmseFZWJcL3eqVPg+Yb6apdvXzjI9KyJaoSjMtnsBeeee+70vcnLvjX2WkEvmvAAsVh0VjwWP5MgFzz5RrO6\\u002ft41RJzySw+LkIAvBDqT40+XHsy5nz\\u002fDLjWhJOy5xctZ9Jlv0frsK6jaKht\\u002fea9m3BahKmPjz1kbopKJGDIaRVVXkhg9jNjofYgNG0S0Xy+cXj1we9ofp7bqvY2hIxhj+61tbKCwYTPexs0UVq8nv3SFFehFywhaUqF1YptNykQMGbFpxCacRN7z\\u002fZG2EUfQ3EqvS85l6J+moZKJkiZHCITvcfVv7uFXs+aSqIpbJ2InTiFE2OlZwJfPG8iBw5KBdOIqnUn\\u002fbcKEiVeEQq7pQhTOncFeK+hgw23Tpk0z9913R38TuE9L5QyW+PqWRzfIe1\\u002fYRDIm6aTlhhTgI\\u002fAzWX5\\u002f4QFc9OWzCRA2Jz5khfWbW1n6xR+y6dbZ1qEm5U6ZodtFu6STotlsAltEYzwfo32EUKhau5Z2aqpQVUlk3K6xnR61uD1qUTWVNqfbdZDRqA3PuQoQmII9ls7l7L\\u002fZHH5jsxXszU0ELa0EaVsm6je14Dc14ze1Yim0Hbu+dxzrdCx6\\u002fsHSMe3CeL9QClMooAseA753JQN\\u002fcFWp8tCEFosIfH7y0zv5f\\u002fcvJFkZ77QmhzYv+8Wn9OGMI+q0ERFZyOdezeYLJ8ydOzczderUvSIxZnvYqwUd2kz4mTNnnhiLRu41Wkc93xd\\u002fuHOVeH1JioqdEXYgkJJCKsNPJ4zmc9+cCI5taywwpRdt1U\\u002f\\u002fxOpf\\u002fRUjBCoW7ZyTrrNor\\u002fVFmEQTBBjfL9Vn28mm\\u002fXZsaepvbfa317TGbKOBS2E7xwnNcDtJlEz93ZzBJxxly0971DD0tz+g\\u002fsLxpbFap74gSKX53s9mcv1j71C5E5oc7DydzmrGHVTDZWf003albjYi\\u002feNOP33igr3Ry7419npBh3Yht7vu+mo8kfh94OeDxlZP\\u002fXb6SlZtzBHrpHMOrLBrKcmlMlw1bgjf\\u002f\\u002f55qArb4VVhrHdXCDbf8QDLvvNL8stX49RUWYF7vzyypXW3CH9ttwA3HdmY2w2kt\\u002f3VPrZOO+GH9++6QuvAb2ym8siDGf7nH5M8ZGypp3kx4y2zYTNXTZvFzFfXUFUZt1bPTpwqm9eMHpTkK+cNMImoo4VUFHL5C84+55w79uZ1eXt8IAQd2jnnZs26IZFMfsbPZ\\u002fwVG\\u002fLO72asoDntE3HK55srohh6a2nJMOmAXlzzwwkkBvYhCKyzrxj3zr2zkne+\\u002flMa734YVZFEbF062Y2yUeyPZgJN78smM3Da13F71LQTclBKsGb+cq746b08uaSR2srOh9DACnkur+lXH+UbkwdRX+X6TiTuZDOpaeMnnDN1ymNTnGknTnsPHteugw+MoIdUPuLII490dRDMjsaipxg\\u002f77+xNOX88c5V+LrznniwN0gqSWMqz\\u002fH9YlzzndMZdvgYWyxRpCxS1lm05rd\\u002fZ\\u002fXV1+E1NOFUVXbXn3cGRYdbSyvRoQMZ\\u002fLNvUj\\u002f5LPtduB43UiCBFx95ja9c8yjzm3xqEw5+0Pl7LAUUfENlQvG1SYMY1ifmKzfuZDOZ\\u002f46fMOHje7vzbWt0+Xr0ciGEMFOnTuWMM87Iu5HCJwr5whtauM6Bw5LBJ0\\u002ftDUaUvKqdgQGCQFNXEeWZDT7nfOcuHpz+pC1tFQLdzl3b75ufY98HbqR63NH4TS0Yr5tWaocIcwGKmX29LjmP\\u002fR+\\u002fzQp5mIqrQ6eb1AH\\u002fvP5hJv\\u002f4fpamNDXxnRdyLzDEIpLLz+rPsL6xQDpxJ5fLPbqpoeEy2hhjPhBCDh8gjV5EMaHh7rvvHq2keFRK1c+RgX7klQb574fWoZRteL8zilZJQU6DzGT4xhmj+OqVH0PW1RIExir1MLnG+AHrrvsva66+ntzy1ZbqaGuShG7YQqC8ZZhJ7DeKQT\\u002f+OnVnnwxQqiUPDDhS0LxmIz+95gH+\\u002fuRyKipiKOhUgUrpnILweQkuH9+fI8dUBRpXFQq5udqIkyZMmLDeGCP2Zg97R\\u002fjACTq0rdfvumvGca4TnS2FrI44BPc8v1Hd+r\\u002f1uI4sOq47DSlAC0lrKsupw2v4+VdOYtjhY2zeSbtSV4D8slWs\\u002fs3f2HjLbIJU2q7fpfxwC3wxJTjw8VvSRPr2ou8XPkHfL11qQ5XaKtIAUOF9fPnR1\\u002fjWX57g9bUZqiuiNrS2E8\\u002fOGl8Gg+Azp\\u002ffl+AOqA9+4Kgj8lb4fnDZx4sR5HxTn29b4QAo6wGOPPeaceOKJ\\u002ft133\\u002fkxR0XuNIakq7S++5lN8vYnN+I6YqeFvbhub8769HUCpl50CJMuOQFicQJtrLAbXSpOaX3+NVb\\u002f8lqaHn0WncujqpIIxN5NMNFZlAQ8sEQSNdXUTzqDfl\\u002f+lOV1gy0ZYaRAN7Xwp388wTUz36QFh8qoItjJfAUpwNcgMFxyaj9OPKha+9qR2ui1uVz+rPPOO+\\u002fVD6qQwwdY0AGmTJniTJs2zZ85844zI25shjY6HlFG3\\u002f9ig7z1f+uxNOydd9AVoaQgr6GQyXHGqBp+eNXJjDhsNGDX9SqcSIq0SI0PPsm6P\\u002f6Lpv89h\\u002fF9VCJuu8G8l9TQro5QwHWhgM7kcKorqRt\\u002fEn2++EkqjjgQCAU8bJnlhFr8lSfe5CfXPcnjS5qorIjiQKcYW7caAn5orn\\u002f6tH4cf2B1UPClMkY3FLK58edMmvTsB1nI4QMu6NAuxn7nnZOl69wshXAiDsHDrzSqmx9ZB8bgqM6H3ooQwiaWtGQ9ejuar549lksuPYF4XQ0abG27MW2lp9rQ9NizrLv2Zloeew6vsRlVkUBG3BK32l4v9EXmHQMmlyfI5oj2603d2SfR+\\u002fKLSR60r91OG4zRaCFtuBJoWrmeP\\u002f7rSa57cBE5qaiIOeidiI8XUfSuR13JZaf35aix1YGnlTJaN3i+f\\u002f7EiRMfM8YoIcQHVsjhQyDo0GbG33XX7ePjsfh\\u002fgsBURRytn36jRd740Fpynibqdo60YmsoKShoyKbzHNY\\u002fzjcvPoKPnX04uNF2At+m3QFan3uVTdPvZfNdD1JYsx4QqERs79XyYaGOzhXQ+TxCCGKjhlF\\u002fwVnUTzqT+MihdjttsP+zk6QAaG3l1ttf5JrbX2N+Q57K5HvT4uFwyBcMFQnF5Wf14+B9KgPfKGUCvTafzZ5\\u002fzqRJzxatvl1w9V0aHwpBh3Zr9jvv\\u002fJhw1AzHcauU9IM3l2TU9feupjHlEY+oTrGQbA0hQEpJKh8gC3nO3r8XV378KA46dl9QriVwCTQSY0tWQy1WWLOBhrsfpuHOB0i9NhdvUyMyHkNG3FIZ6q7OId8lKFbgaQ2+LnHfRwf0pfLIg6i\\u002fcDzVJ30Ep7babh+y1+iwyaEAyGZ4\\u002fH9v8f9ue5knFjYQjUeJOSJ0mr2noZHNa\\u002fr0iHLF+P4M7xcLEFFV8PKrcrn8OZMmTXq5+E7sgjvR5fGhEXSAool23913H4tSt0qp+ksKwfL1OfXX2WtYsT5LopP00R1BCjBC0pr1qMBn\\u002fCH9+fykwzjg2H1BqFDDG4TRWxSwgHXctTzxAg13P0xm\\u002flJ0Ko3xfWQi3kY2WaSH2uLf3Yh2Ja4izKVvT98soxFUVQUVh+5H3fhTqDrhCBLtuOKK5bcmnAgB8D2eengO1935Kg\\u002fP3YDvuFTELAvue5nPiin+mXzAqIFJLj+rP71rXV84Mcf3Cm+l0pkLJk+ePO\\u002fDJOTwIRN0aNPss2bMGCtj0Vtisfj+2sv4m1t8558PrOW1xa0kIqqtzPI9QElBgKA1nafGgbMP6sMFEw\\u002fhI8eMgqjljvO1QWptmWRkW9248X0y8xbT9NBTpF54jcxbC8kuWV6iuEKptnrv4nKgg8KUTmPr4hlsLzr745fYW0U0QmL0MBL7jaLy2MOpOfkYYkMHtk0KYQjMGINRClV801paePTJ+dx49xwembeRHJLKuIswZqfi4u0hhTV6snnNMftVc8mpfUhE\\u002f3975xpbV5Xd8f\\u002fae59zz72+jh+xycOQEOJkwhhmAk4zdAqdoZQBRk4GyIO2aFDVSpWmaqXRFKmdTzZSHxq1UqXhQxVValUxmWkd6HjGJnQKnSAo5VVSmBACIQkhTye2b+zY997z2nv1wznn+hEDIU5CgvdPur62k+tzzj33v9faa6+9ltSOW5BBUHneD6Jvb9q06djnPfA2G\\u002fNO6MCkZd++fXtLU+OCJ3K5\\u002fL1hUI2jWMuf\\u002fvcw7Xx1GErQnIJ0GYR0lxUDZ6sR6hHjjjXX4A\\u002fuWYPb7lqL4sLErU3qMjKgNURW9GEKwdGT8A8cxsRrv8L4a2+h+t4B6NGziMfGoSeSQpSkkm2oJNW5nV1p5jc87QlATcSTu+IiAAKqoR5yQT1USyPqblqD4vovo9h5M7yVy+BcM6MEVhynmWyJW58drTQ4gud+8SaeePY9vH5gBJGTWHABzGm6lCEEIYoMSBAevL0V965faIQgVk5OBmHw41LJ\\u002faNHHrmnPB9FDsxToQOT5ai2bdtWWLpk0Q9d1\\u002fvDOA6hBMyLe8bEj\\u002f9rEOWqhpf7dDXoPo7MwperEYTR+FKrh2\\u002fesQr339GOlV9Zgywj2SBxd4mQROxnKdtk\\u002fAD++x+geuBDBIeOIjh2EsGxQUQnTyMaLiEePgNTrU4a9mk70Gjyzk\\u002fZ+SaKBTitzXBamuG2LYbbtgi5a5fAa18Or\\u002f165NuXn1NxJgsaMiWDolRi8kMVRdj9P+\\u002fi6Rf2Y+DlgzgwGkFIiYLnQDDPKdCWke3ErQQarY0uHvnGEty6qmhiIwURQcfxD7o2bvwLYDJrcs4HvQqZt0IHAOZuQZTc+P7+n\\u002f2JFPJvSQhPQscfDFbV9ucG8c6HZeRdecHJNTMhIC3vBFRjRrXsY2nRwS0rmrD5N27ArV+9EStWtgJOrvYaw4CJNQicWPusnPO5F5QUi\\u002fB9mGoAPV5OCkiMjUNXqsn810+i4eTlACEgiwWoBfWQjfWQdYWk8ms+N60s9TRMUvbZpOIWSk7fMFGpYN\\u002fBIbzxwh7sePUo3j5yBqd9Rn3BhZv67zzHQFuGoKTATxAarG0v4vfuWoy2FlcbuFLreDQOwz\\u002f91oMP\\u002fqi7u1sAwHwVOTDPhZ5CzAwi4v7+n35dCvcfHcdp17Gvq4EWT788Qv\\u002fxegmxZuRccd7dW88HkQanfM2IwghhZLAsD6zvWIrONYtxz7rlWP7lG6DyOUy9VTrtWkJTij+QPLdM9JzgJJElq66aVVgFUW3NO\\u002fuPQdnH0T2H8PQbx\\u002fDam0fwyv7TGA4JOUfAdRRcSdBzWAufDSkI1UDDcwW6fr0F965vZiUFO25ehKH\\u002fpvbD39+wadNb89mKT8UKHQAD1NPdLR977LH4yR89udxrcB53c\\u002fkNcRjAUdC794\\u002fLf3v+NI6c9pF3RS3oc7GgNJpNBIQMTFQiuCZCXT6HVQtz+EbHItywdiVuXtaI1ctbgJbZyy9n83xOE1HSspDJMT762mvPDIBIgGRyjR\\u002f1mnhwCHuPnMG7h0ew7\\u002f8O4hf7RjA45mO8EiJ2HNR7CoowGYy7wPdlNgQB2gB+qNF+bQG\\u002fe+cifHF5nY4MSSEktI7+aXRs\\u002fNGHH374zHxZIz8frNCnkAVquru7RWfnLd8F6C9zbi5PHOrRiVg8\\u002fWqJfrm7hDA28FxxSSopEdI8b0qsYKQZ1TBpyXx9UaJtcSNalzbh1xYXcNPyRlz7xevRfE0TFngSjucAbu4Tj\\u002fHJMBAECPwYY4HG6GAJgweO4a0PSnjl6ASGTozgw1PjOF4xUK5C3pFQkiClSKLnF8k1n8rksplBnSdx7\\u002fpm3N3ZxMW8MiRzMgj8EoMf3bjx\\u002fn8GJu\\u002flRT6NqxYr9BkwcxKaIuL+\\u002fv71UojHHddZH4chpDDm7cMVseP5UzhwvApHERx1cd35mSSNR5LlLl8zwkjDRDFk+nshCEsLEiubc1jaUkTzNY3ItzSgWJ\\u002fHorxES0GhmFNwHAlXElS6FBdpgyg2CGKNcd9gqBLhdFWjMlZBZWQUw6fHcHykjPdLIYaqMYgZ2jA0A8JR8FwJV6Tr6dmy3iVCCCCMkuPfvKKIB25vxZplBR0ZklK5CAL\\u002fWYTR9zZs2vR21nn387bNdK5Yoc8O9fb2iq1bt+re3t58sVD4Hoj+XCpVzzow1cDghbdGxX\\u002f+7whOj4bIuRKSPl0Dvws6qSkufq0qAgORYYSaEWsDHWuY2EDCIK8IeSXgyGRAkFO6n5pUoNowophRjQ0qMYOFgJACSkkoKZCTk3PyWju3S+CSn3Ot6fESNz0p93Tf+mbcflODcZQgoXIURdEww\\u002fx1peL\\u002fML1X1op\\u002fBFboH8PUD05f345bPLfwN0I69xgTQ5LWp0qBeOa1Er24ZxTVIHHnL\\u002fb8\\u002fXzIREFTi0SmEWljkOSVz1g2n7K6BiJKPQTURo+amC9D4t1MxBSB1xckvr62CXeva+LWBscYODKZGpi+uOJ\\u002ff+Pmze8C83vp7HywQv8E0lp0Mgvq7Oz\\u002f2XdIqkelcm8wcQBBRr93tCKf230Gu\\u002fePww9TwQu6pC79+XLODZ6RL4PZf\\u002fxMEIKgNSOIDOo8gfU3NuC3O5tw\\u002fSIvZkhF0kEcRXsN8191dXX9BKgNxp+b2m6XCiv082SqdX\\u002fqqaeW5HLOd5nxx57nFU3kMwNm\\u002f9GKePaNEr15YCKx8DmR7EnH1bcR7XKRTQeySHoxr9C5uh533drE7W15Y5ik43ooVypjUorHy+Xq32\\u002fdurWUxFJ6KMuDsHw8VuifkunufN8tSojvM7Aln\\u002fdg4gDasH7ncFm+tHcMu\\u002fePo+zrWtCOL3HQ6moiE3gYMyLNaKhLBP61LzWivS2vQSSl8lCulCMCPSGk\\u002fLuurq59gI2oXwhW6BdAd3e36OjooOzDNjAw8FVjzKMEbPA8T8EE0Jr1kdO+eOntMXr9vbM4dSaEIwUclQTG5qPos2CiYUYYJ8twS5pddH5hAe64ucEsbcmxECSF9OD7fmCY\\u002f52IfrBhw4a3gETgW7ZsMTai\\u002fumxQp8D3d3dYmpProG+vt8UjvqzWJtvFvKeMjoCsdEnzoS059A4vb5vnA6eqMKPDBxJcFWaEorPr2tfi9Rjcoks7wqsWOzhto5GXtte5JYGh5mElNLFxEQ5chz5r7GO\\u002fmHjxgdfBpJ9CT09PfM6hXWuWKFfBGZ+EPv6+tYJou8Q0WYvn19AHAMmRiXQ8cETVfnavnF692gFx4d9AEmCjEqXsTjtK3Y1I9JlAGMYsU4eSgLXtXpYs7yAr9zYwMuu8bTnCgWhAFKoVipDJPAUkdzW1dX1JpBY8L1797IV+NyxQr+I9Pb2yoceekhnvcaf6ev7gpH07djw70ihVhYKHuKwCiKYodGIjwz5Yvf+cdp3uIwzEzEqgU4svSNqlhC4si3+bOcZRoxIGxTzEk31DtZcV0Dn6npesSRvmoqKNEM4bh6Vqg9j9DtSin\\u002fhavBk1+bNhwDUWmLbefjFwwr9EjBzDr9z586cDsMNQohNsTHfyufzeaUIRkeIYx2fLcdi\\u002f9EKfTDo06GTPg6eqCIIk7JLIMCRicWntLLLZyn8ySatyVw7s9jgZFee5whcv9jD6usKaG\\u002fLc3tbnoueNFJKJaSDSDN8368Koj7D\\u002fGRbW1v\\u002funXrovR9UwCMteAXHyv0S0iajompLXf7+\\u002ftXEZkHTcwbmGhtfbGuTusYAhpgw+NVrYdGQ3HweJUOnKjS8eEQpfEIZ8YjxDFDpi5+UkqOpiXLJAdNvkwbB2apMQHMUoui9u2kma4lzfDkphmtGbFhOIqwcIGD5noH17XmsLItzzcsKZimouT6OiWJBBkoSKkwMTFRBtOrQuAp6Tg777vvvsNT3yc7B7+0WKFfJmaLGA8MDHQaE\\u002f8WMzYwo1MpVagr5MEmRhyFEAK6GhicGAnoVCmkkbEIx0sBnRwJcaoUIoxNIrpUeEnr9qTlFGXP6WCQabeW\\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\\u002fH7zHo\\u002fs3z3\\u002fvvvPzHzXHft2qWGhobYJrdcOVihX4FMFf1HubnMTM8880w9EdUFQdAkhFgOYBkMWpj0QkAsBHMrgCIDigDJgAJYEYgBxAxoIorBrAkYAzBsgBEiKimi0xo4Yoz5UCk1VldXN3HnnXdOzHauPT091NHRQQBgxX1loj7rE7CcSyqUaVY9E39raysNDQ1x2ivsbPo4CeCd8\\u002fnb27Ztc1avXs0X2rxg165dCgBmWGwr7Csca9GvUrJKOD09PdkzduzYMe1+7t27lzo6OnjLli2MWaqupH+DZr4uY8uWLdzT04Oenh4Gakt4VtRXIVbo8wvKsvasaC0Wi8VisVgsFovFYrFYLBaLxWKxWCwWi8VisVgsFovFYrFYLBaLxWKxWCwWi8VisVgsFovFYrFYLBaLxWKxWCwWi8VisVgsFovFYrFYLBaLxWKxWCwWi8VisVgsFovFcqXx\\u002f2GeOkMQOEB9AAAAAElFTkSuQmCC\",\"x\":92,\"xanchor\":\"center\",\"xref\":\"x\",\"y\":262,\"yanchor\":\"middle\",\"yref\":\"y\"},{\"layer\":\"above\",\"sizex\":150,\"sizey\":150,\"sizing\":\"contain\",\"source\":\"data:image\\u002fpng;base64,iVBORw0KGgoAAAANSUhEUgAAAPoAAAD6CAYAAACI7Fo9AACsuUlEQVR4nOxdd5xU1dl+zrl96vZKBxUBK4pYQFCxd2UtSFMM1pgYk5iYuGysib03YBugLiqWqBgVpIOgUgSkSd9l+06fueWc7497Z3aXoqBg+\\u002fb5\\u002fVZwmbn1vOftzwt0oAMd6EAHOtCBDnSgAx3oQAc60IEOdKADHehABzrQgQ50oAMd6EAHOtCBDnSgAx3oQAc60IEOdKADHehABzrQgQ50oAMd6EAHOtCBDnSgAx3oQAc60IEOdKADHehABzrQgQ50oAMd6EAHOtCBDnSgAx3oQAd+XSA\\u002f9wV0oAO\\u002fEfyyZamqqkr4ua+hAx34taK4uJj+3NfwnaiqqtIqKyt9zt8Fzvkve0fqQAd+YWijJMnUqVPTD9ZxD9bOQQCguRkyY\\u002fTt0tLKC4qKiixCCO\\u002fQ7h3owPfDUYqkqKjImjhxYteKiqnvmib6AwfHQj5Ygs4BYPz4ogDnzHK7Xe+Wl099\\u002fN\\u002f\\u002f\\u002fre3qKjI6tDuHejAvlFVVSUQQjgAXlExdZSqehZyjtMTCfYNAKxevZr\\u002f2HMcNF8guesQgk8FQaCKIv+xsLDLnPLyqecktXtxMf9l+x4d6MBPCM45KS4upkVFRVZFRUX3srLKKkEQyl0urYBztjAtTakpLi6mJSUl7Mee66AJ3urVqx2NTVcmEgmWSCQMWZaOI4R8WF4+9fGqqqqMkhLCiouLaYd278D\\u002fdyS1eElJCSsrq7yOMTLf6\\u002fUON03TME2TAWR1UVGRNWTIkIMiowdTwzIAMAy+Wtf1OlEUpWAwUiNJxPJ63X+MRPR5kydXDCspKWG2dv+FRxY70IFDgOLiYlpVNVwoKiqyJk2a1KOsrLJKUdRKj0ctaGoK7OQWtwxDp5yThQAwZMiQH63NgYObpyPFxcXE2aHm+\\u002f2eU+fN3rh6y8bm9Muu7SO7XK6sUDAKgD+WSETvGz9+fKCqqkooKipicHz8DnTgtwxnvVsAUF5ePhIQ\\u002f+PzefJMKx78+P2N4fraSOOVI\\u002foeZhiMAlaPMWPG7OScE8d\\u002f\\u002f1E4mFqV9+3blwAAY3wpCJCV7e46+3+bM556cLG18ZvaHS63ZLg9nj\\u002fJsmt2aWnpEOemOyLzHfhNw3FXaVFRkVVZWdmprGzqVEnSKjweJa+munHnxKeXBaeVrsryepUebo+qWBZftXnz5hoAOBhCDhxcQcf06dMBAIRgjmkw5HfyRnscltG4bXMo95l\\u002fL0n775vfVMfjsSa\\u002f33McpdKn5eUVDzz2WJWWjMzjl14J1IEOHCCqqqoEx11l5eVTruJcWOD3e66lAgvNn7Nl6xP3L9S+WlbXKSNDTfQ5OqdGoCrhHJ+VlJQwzg9e8Fo8WAcCgD59+nAAUFXpi3A4GvP6FG9OrtvYviXIRUnyzHxno7Z6RX1j0ci+23ocnpkPLv09KytyVmlp6R1FRUWLgfbmTQc68GtFMuBMCLGmTZuWa5n8PlGSb5Rkgprqxpq3XltjrfyitkCRRUmSCdxuWcot9Pri8QQIYYsB4LPPPqNwYl8\\u002fFgdVo5eUlHAAyMvLq+GcL5ElVetxeEYzoTA459BcolC9PZTzzL+XpL\\u002f\\u002f5jc1iUS0yed1DxAE5dPKyql\\u002fHz7cDlLY2r0jMt+BXyc455QQwgkhvKys8krTpAs8Xs+NIGZ04ZzNWx6\\u002fb6G26ovaTpomSlTg3DQY8gq9TS5NzgmHww2CgK8A4LPPPjsoQg4cZI0Ox98eOnSoOXlyxWKADDniyCxTlgXKGABwSDLhnBPv+2+vd3+zuqFu+Mi+1Z26+vMpUR64+OLLzz7\\u002f\\u002fPP\\u002fUFRUtBywfZuDkUPsQAd+GnBSVTWdEkKs0tLSPELk+0VRuMHlklBf11Qz49W1\\u002fIvPqwslSZJUTQRjHIQSwhlHn2Ozg7IsFkQiZN3YsWM2HawgXBKHLMVFiLAkGAxzj1\\u002fpnJauhCyLgRCAcxCAw+WS6JZNgbynH1rsn\\u002fXhpu26Hgu63drplCpzysun\\u002fSnp23T47h34NcBep4QXFRVZkydXXMS5ON\\u002fnc98gKjz2+cIt2x67b6H85ec1BZomSYLAOWOODHOAUCTyCzz5IIQDbAEATJ8+neIgZqMOtkaHky6DIFgLdd1q1lxSeu9+WQ1zPt6eLkmE24IOMMYhK4QzBvdbr63VVq+oq7viur7hws5pBeDio9Fo5JzKyso\\u002fFBUVrUnWAR\\u002fMHa4DHThIIMXFxUJRUZH51FOVPp+PFwuCeKfHq6K5KVj73vR1iUXztuWKoqAktTgcxUUIuGlwklfgaSzo5JONBCOCgI+Bg1P22haHQqNzzjkZNWpUHThWqppKuvZIz2bcMgBC2n8QBNTW7hu+ac576sHF7rmfbt5mWfGQz+cdZhp8YWlp+U1Jf6cjDdeBXxKc9chLSkrMSZPKT\\u002fP76Wyfz3+n5hJjy7\\u002fYufnx+xaIC+ds66wooiIIaNXiDgghxDBM3qmz3+3za95wJNpICFkJABMmTDiogn7QNboDAgBUIB+DC0N6Hp4eSs\\u002fUzFjYzKICUlodAMABxjkUTeCmyf1V5V+716ysr79iRJ9Qbq63wDDwQlnZ1DNEkf+5qKhoa1VVlTB8+HDWod078DOCVFVV0aKiIut3v3tJOuUU998pJX\\u002f3el1yIBCqff\\u002fNdYn5s7flEErcmqu9Fm8LzgFBJPqRR2XVK4rWi5DYTFVVGx3\\u002f\\u002fKBe8CHx0adPn04AcEHAvGgkxjOy3P6cHLdiGBbaaXUO+\\u002fYJwBknhHJoLlFcvbwu\\u002f4n7FqqL52\\u002fbSgQr7PN5hjOTzC0rqyzqaH\\u002ftwM8Jp3SbO40ox5x2mucTj8c9QXOJ5OuVO3c8cf8CzPlkSxdJpm5RbKPFCfbwuBnjUBSR9jwi02UaFiil84qKiqzPPvtM2PPTPw4HRaPvHiFM+heU0rXxeGxTusvX67A+mRs3rm90o83mwgUCathBdS5SgHMwzqFqAuIxM6Pi5RXuNSvr6i67pk84PcPdJRFnr1dUTD0rEGj6W1FRUePw4cOFqqqqDu3egZ8EyRqP4uJi2qvXEbdyjgc8Hs0bjkSbP35\\u002fU2DWB5tyOIernRYnABhATAYmCyCO4BMCbpqcdO7mq3W5xcJgMJQArDnAnmk1W74A4Iev84Oi0Z0mFRGOeVJSUsKrqqqEESNGNBAiLBGowI\\u002fsm61SQokdZgSIxWF5JDSfWgDLJYImzJR2Z4yDCuCqKijLFlV3fvy+BdLyZdu3SRKPu93uG\\u002f3+rPlTp049Z\\u002fr06VZHg0wHDjU454RzTuyI+tTDunXr9YGiqE+rmujd8m3djmcfXmzMfGd9VypQlyiRdlqcGAzgQLB\\u002fDhKdPLZiIwSEAIbB0LtvluV2K8Sy+Leapn0FAG1Tysmc\\u002fI8RcuAgCHppaan69ttve0tKSkw4efTi4uKUeU4Inx2P6yQj25WRma3VWnbNG+eUQAzqSOS7sOuawxHpnQFicRCTAbZyJ06RDYIteubEZ77MeWPq13WhULDJ7VZ6mwY+LC+f+ohz7o40XAcOCZLtpHbxy9TfEcIWpqV5z7GseMunH27Y9tSDi\\u002fzbtwZzXC6JANwJMDt5ZJ1Bz9VQd2l3BPtnQ2xOgFPHhueESCIJd+7m98iyCoB\\u002flLQWYMcAHH4HwoqLOS0tLU37MffxgwU9WeKn624lEAiVVlS8eldFRYW7qKjIKikpYdnZ2cTeCc3\\u002fRSLxuD9NpYf3yeJ6wgIlBBAIaMKCe30zLL+MhnO7oP68rjAyNNA4S\\u002fnvjHEIIrgsi+rs\\u002f23u8uRDi9na1TU7FI1yt9t9V3Nj8LOKiopTWsktOrR7B348OOckaaqXlpbmlZVVTlUV5SWvV82q3tlY8\\u002fJTS0NvTVtbwDjxSrKjxR2LlCQsMFlAyyn5qL28FxI9\\u002fVC3hSE3xsBFCgJww+DIznMbvY7ISCQSFizL+ohzTvr27SvCiQEAwJQpU87r1m3Kfyml\\u002fYAfTiv1g330ZECsqKgoUFY2tTEzM+2RxsaGm8rLKydyblUOHTp0p3Nh1eFwfL4iq2f16p2BBZ9tiwJwgXNwiULdHgYN6GCqgNhhaYgXeuD7sh7eFQ0QdAtMpraxzzlcLonX7oxkvfDo0shZF\\u002fTYMeyCnh5\\u002fuvf4QCA8e\\u002fLkypLu3Tv9Z+jQoWZxcbHoWBgd6MABw9HiFgCrtLTyAkrpU16vp6dpxcKL5+9omPHq2rRI2EhzuSVw7mhxQkAsBnCO6OFpCJyUByNLBQwGJBhcmwLgxNbmhBBimgbv3NVnuNxqQSgQ2iEI6mon1qQDQEXF1IsAcqssq+dYVmSTpmlfOMr1B1WKHqT0Gn2zubl5rChKPSVJeigej99cVjalzDQxuaioaGtp6ZQqzulZR\\u002fTJNtPSFBIKGRBFAi4QSM0JKLVRxHr4gYQFLlMETitArIcPaYt2Qd0eAigBFykY40SSCTgn7g\\u002ffXq+tW9NQWzTyqB2duvoKwKUHtm7dOWjixIl\\u002fGDdu3DrOOZ0wYQI6Smg7sL\\u002fgnJPp06dTp99Ci8dZCcDucntU0tTUUvPWq2vYF4ur8yVRUBRV4Ixx29kGB02Y0DM1BAbmIXqY3z5gwgIECjGQgFITAQTinAcglJDjBxa2yJKaA5JYfP3Ya7a\\u002f9NJLLlV1X8Qt9gdBEAZSSsGYBULIa0VFRbEf0\\u002fD1owQ9eVJKjQWWRXdQSrtFIlHD5ZK7yLJybyAQ\\u002fn1paeUTlOLLlpaWZrdH6dypW9rO1cvrCiE67jTjcK1vRqyXH5QSMA5At6Dnu1F3SXd4VjfBv7QWYlAHkwUn58ChuSS6ZWNL\\u002fpMPLQxedEXvbYPO7Jrh83nODYfpvPLyKX8ihFQCHd1wHdg\\u002fFBcXU0IIA2BVVFScEo+bT7jd7gGWFUssX7q97s1pa7SGuliWqokAOGwhB4hhgUkUwf45CPTPAfPKtoADoISAKwLUVUGIQQNMEQDOOeMgHq\\u002fUnF\\u002fgKYzF46CUf15WVnkdhXiHqskniBJBMBBhAJggCAJj5gzgx1XL\\u002fejgVbLxpKxsynNpad5bNm+qq1751a7m4wfkF+QVev0iVWlzc6CZc6huj6wuW7Rje\\u002fmLK7q43CIY53b0XROx67IesLwiCBWdvLodnYRMITYl4Pu8Fp51zXYcQ6IA46AUYBZBPGEaRx+f21A0qh8ys9z5eoKDMWNyIhG\\u002f+4YbbqgvLi6mEyZM4B1puA7sDUll8NJLL0mKot1FiFDs9bqUYDDc+P5b60LzPt2aTwVBkSRip80IARgDMTniXTxoGZgHvdADWBwwGQgloJTCMg3A4sh9fxuUHWFwmYIQ8HiUkxNOztsxavyx6bGo6QJ4naqquZpLQigQbfp80c5GzSWSk0\\u002fr0aulJbgUsAaPHTs2\\u002fmMaXX504MphlSGWRWbEYzryCj3al0tqujw6YQHemvr1rpqaxmq3R07TXLJmmSCFnf1pbo\\u002fYxBhAODhECqMljrPqBFzSuxd4PA7OGATBubSEBdMno+nsLqi\\u002foBuMTBU0ZrvfjAMgHC6XKH39VV3+Y\\u002f9aoC1dvH0nFa2Y5nJfL0nq\\u002fIqKios6eOo6sDcUFxfTJAvr5MmTD5Nl13sul+dBTRPkTRtqdzz978XWZx9v6SYroiKK4Iw7qWHdDrY1Dy5A3cU9oBd4AJ0BFgcVKEAIrFAEx+TloshMA90eBGTBDjBzQjisRM\\u002fDMjRCqEapQLw+LdfQEy2ffbxh6+P3L7BeL1vZuaCTVyGEglLhvbFjx8bbUEL\\u002fIPxoH90xJ7jXKy0Nh2LfpGd6e58ypMvGNypX9\\u002fp05pa0xXN3RE44pdOOQWd0VXILvBmdu\\u002fnRpbsf33zdBM1FwTmHKAvYsXgL3rtvJM7v1Q3\\u002fnDkPdfEoqKqAcwJuccDiiPVMQyLPBd+yOnhXNYIYDFwWwJhdZBMJG2llzy13rR\\u002fSuOvi4b3dPp\\u002f78HA49m5ZWcVjpqmXjBs3LtRhyncAaO\\u002fSlZVVXgeQR\\u002f1+T248HgvM\\u002fWRr8\\u002fszvsk0dO51uSRHi4OAcRCTI9bDj5ZT81uDbQYDCCBSCtMwAAv4\\u002fcAT8I9hp+Cmq5+GblqQVRkcHJbF4fXIVr\\u002fjchOSJNJY1Gic++nm+NyPt0g11cECZlGp7zE527KyXZ1aWgIJy+LvAsDw4cN\\u002flDV6UPLOyYdWVlb5rN\\u002fvvWX7loaGR++b7yaEupjFkYib8HilwNEn5ofOv+ww7cslNdG3pq3O1zRJZIxDECiamsL4492XYsID12DD9nr8feZcvLF2AyAJEEQRjDFwxgGBAhKBuiWEtIU1UGoiYLJg77R2NQ6Jx0xe2NnbcPXYo6I9DsssIJCkcDiyGCC3jRkz4oukZu8I1P3\\u002fQ9uA26RJk7IFQX1EkeXRkkxQVxfcWVXxNVm9oj5bVUWJUJ7qyyAJBssrITAgF+G+mQAlgGkLOCXEVtaxOI7OycHDZw\\u002fCef2PwMcffIWrLn8EPo9q954TQE8wHN43s3bcbf2FRXO3RefP3ubbVR32SpIoKApFJKybV485qmHI2b1yAy2R+WPHjhp8MHrTD2ZTC+EcM8Lh2K1ZuS73YUdmNX79Vb1L1QjX3CJ0g\\u002fsXzN7mX7GsJtK5qy+oqqJgWdzpUedwuRS898Zi3HjrOTisczam33AFKhatxL2fLMDWQDOIqoIIxBb2OEe8qxd1uZqt3Vc0ghoWmGxH8zSXSHbVRLOf+feS4DkXHbbrzPN7eHw+98BwODa7vLzy3tGjRz4JdATq\\u002fr+hbcBt6tSp5zBGnna7XYebZiKyZOGOxhmvrvWEAnqGyylh5ZwQYtkmeeTwNARPzoORpQG6BZj22hUohanrkIiAP55yEv42bCDS0txg4Jj8yiegqX4WDs7BBYGSWMS0Hi2ZT2t2hjtJkkBdLgkcnOk6o2kZWqjP0TmMEokQgilAqjf9R63Tg+KzJimbg8HM+bpubNA0VT3quFyJcSsOEMIYJ5Ry7nKJMHTm3rC2pTvnSDXoMMahqhK+3VSLme8sAwdgcoZRpx6N+TdfgxFH9wXXDXDLhCBQEAogYYGJAloGFaDuku6I57tBElaqG06SAUKI793p6wpefGxpfOf2xl2qJnpV1fVERcW0NydPntw5WYnUMVDit48kkckHH3yglJdXPmya+NDlUg5vaQk0TCtdXlfx4oq8WNTMUDUBSV+cJiyYbgmNwzqj8fyuMNJVIG7HhwRqa3EzGsNJeXmYNeZK\\u002fHv4mUhLc8NiHF8t3YSFc9bA5VbAWMpwJFQAdm4LFTTUx7NdbomKToCPgFDDMHnPwzP0zGx3TnNzsJFz6X\\u002fAL2skEy8uLqZ33HF+QhDoa4BEjz4+18rIVJlp8BSzTNJ8keQ9O3NsIgoR0yrmIJEwIFAC02LolJOGKWMuwRtFF6GX1w8rFgMIsYMejAMJhkShB3WX9kRgYB64YNcXc07sQJ1bENatbch\\u002f4oGF2uJ5W7Zwrkc9HtfloqgtrKiYOrwjUPfbRtuxR5MnTzmqtrbxfy6X56+qKvAN3+za9sSDi7Hwsx3dFVWQBcE2GO1SbI5wnwzUXd4TkaMy20XUBUpg6To0TlAy5FTMGn8VTuvTDRbnsCwGgRJMK5+DYDAGQdxzWYkSeLKzjSeJZjhAKcHJgztHZUkVAfbp2LHXbBk+3N6gfuxzOJiLmwIA5\\u002fyDUCiY0FxSwRH9sutMc89rbNeP3vpbqKqMr1duxaczl9vqnnNwzmFxjisG9MGCW0dg\\u002fAnHghsWmGlrdxAABgMXCAKn5KPu0p6Id\\u002fKAJiyA2dpdVQWuJ7h\\u002fysRVBRUTlzc3NwdqXW65EyG0qrR0ypMTJ05sWy\\u002ffgd8IiouLxeTYo\\u002fLy8uspxWf+NO9gXY81ffD2+upn\\u002f\\u002fN5RkNtLEtziZyD26xOCQumV0bD2V3QeE4XmD4ZiNtWs63FOaxYAoM7dcLssVfi3ktOh8uj2qliBlBKsW1LPWb+9wtbm1t7KmO7j6ONDBBw0wDyCrw1hV29ObFoHJzT1wFg+PCD8ywOqslaXFxMhwwZQrds3jbfn+476esVO3Y998jn6YoqKnxPdg0nHdn6e0GgCLREcNFlA1D6+h+di7M\\u002fZzEGgdr70swVG\\u002fCnD+dgTW0diKbanYCc2+kLiYIYDN7l9fB\\u002fUQcSt6vtCMAJISQWNZGd5264enS\\u002faO++WXkEihwKh5eYpnXrjTeO6QjU\\u002fSbAyfDhRXT69OnWK6+8kiHLrsdkWR4jSUD1zmD162Ur+fpvmvI0VRTs1ikQYnGAc4T7ZiIwIBeWT7F9cdiaFgRgCR0eSUXxaQNwx5knQlIlWJyDwl7PjHFQSvDUo++i+O5pyMhwo62i29uaTx4\\u002fEtbZBZcd0XBx0ZEZLc2xatNMO3L8+Iuj2Gsn+4HjoJqrffv2JUOHDjUJFd6wTI5uPdLlLt38AT3BQWnrxRICxOM6opGE7XM7zrplMXh8Lsz+eBVWr9gKAgLu2DYCpSntfu4xh2Hezdfgj6ecaPf5GgZE6lQjGgycAMGT8lB7WU\\u002fEO3tAE8x2HexuON7cGM964bGlme+9ta5WN2LNfr\\u002fnJFmWZldWVt5SUlLCfkLtTv6\\u002fuAxJE\\u002fqnOA9AMH36dKu0tHKIqnrmer3uMYLIIksWbvv2qQcXuTatby50uUSBk6QWZzA9MurP6YqmMzvDckuAbrdNCwIBYwwsmsA5Xbthwe+uwl0XnAJJlcA4h0BIav0SAoRDcbwxbQFUVYJltVdipmkhHI6nzPXkdywLcHuV2PED86OSqImUklfHj784Onz48INGQHFQH3wyaCBJibcikUjU5ZbTjjk+z2SWaSaZZRjjkCQR148fhqOO7YbmpjD0hAFBoKCUgBKCcCSOKZNn72FvEEIgEAKLcWT43Xh8+DDMHHkZjs3OgRmLg8M2rwAAcRN6ngt1F\\u002fdAy8l5qd5gBhBRAhdE6p759sbC5x79PLZje2ONyyV5RVF7rrJy2mulpaV5RUVFlvOgD2WgjjsTOchvOSDYdnLoT3Ge4uLZQmlp5T0E5GOXS+kbCAQbXitd0VT+4vJOibiVpqgCGOyqTGIwhI9IR+3lPRHrnWHnxC0OSu31aMUTyBIkvHjxMHxw03Ac3T0flt3IYndhOrBZjglm\\u002fvcLrFu7A6oqAbAFnHOgpTkCl6ZgxOjTUdgpA7pupjYI07TQpasvlJPrKWxpCSQEgc8AgOEHy27HwR\\u002fgwDjn5Nprt20BMJMShR5\\u002fcgF3uSUz6atIkoCmxhC6dsvBe5\\u002fci4ceH42u3XMQaIkgHjcgCASqKmHmB19i5\\u002fZGu\\u002f59N1NHoCSl3Ycd1RNzb74a9ww5BQq3gyQCJSACsU0vCgROybMrmHI00LgJzkBAODSXSDeuayp48sFF7iULt28h1Ii7XK6rKFUWTJ5ccdH06dMtOIHGg\\u002fmckkJdUVGRU15eflay3\\u002fm3pt3btno+\\u002f\\u002fzEI8rLy09I\\u002fv5QnWfy5MmH9eix412323W\\u002f5hKFTRtrtz350CI+f\\u002fb2zqoqykTgnHEOmmCwNBGNZ3ZG43ldYHklIJHU4hTMssBiCRT1Phzzb7oG44eeACoJbbR4u\\u002fODUgLTsFA1bR4Y4xBFu5CrpTkCUaQYMXYI3vro7xg97kxU72yCJIk2eSIhYBbDyYO7JFRNlQzD\\u002fGLTpk1fJAOIB+sZHYqFRQkpYQBmxOMJ+P1Kdu9+2bt0nYM4lrggCnh96jwAwM13nI+Zc0pQ8vAIdO2WjabGMASBYse2Brw743PnkHtaL0ntzjiH16vh\\u002fouHYPbYK3FK506woglwxm2fnsOOzHfyoPbyngickAPCHWofcCiqAD3OfJUvLy94ddKKxmAwVOfxqD0EKrxbXl75YGlpqVpSUsIcBp2DBQIApkk6cU7fKS+vfOaxx6q0Q3Cenw1OzprbgwWnXZCe7ptLiHAFAEyYMOGguUVJLW73jVdcTakyx+v1nmexRGDWzG93PPPQ4vT6mlh2MuAGxgnRGaI9\\u002fKi9oiciR2cBJk+VrxJCYMXi6KK6UHrpuXj9xitwROccWIyDo70WTyIpsF998S0WzV8Hl1tBU1MYlBJcO\\u002fp0zJh5D5595SYcdUw3OxofiEIUqR2EM4GMbFd9zyPSPcwiEASxvKSkxEwOLD1YOOiC7hQkgHPPf2OxWLWqKtLxA\\u002fI1DhYjhBLGGNxuFatXbsWi+WthWQxpGR7c\\u002fqeL8O4n9+KekiJk5\\u002foRNwxMLZ0NQzdBKW3n17S7AdKq3U8+ogs+HX8V7jvzNLipAEvXQSkBobZ256KAltML7Zr5DM0O1HEOInKuqKK8aN7OwqceWsQ3rN+1U3OLpqa5\\u002f0ap9GFZWVnfkpISk3NOD4bWnTBhgnMMlidJsktVtduys\\u002fUPJ02q7FNSUmJWVVUJv2ZTvu3wjYqKaQ9wzt\\u002fWNFcO57zA\\u002fsSQg3aeoqIi69lnn\\u002fWUl099VpaVV71eJb++vmXX5Ke\\u002fCLz12tp8EOoVZQLGOaE6A5cENA3phPoLusFMs\\u002fPiJKnFTRM8ruP6Y\\u002fph4W3XYczg48DhkJ9Q8r0+XMXkWahtaYYoCrh21Ol495N\\u002f4rlJN+PY\\u002fj3AGEddbQs++vAruD0qGGOghBBdN1ifo7J5Vo7HGwqF62WZvAMAw4cPP6huziHhda+qqhLGjr2sRRBIFecC6X1UtlDQ2avrCROEgIMAzGJ4tXKe\\u002fYAZh2Uy5Oal4a57LscHsyfgXw+OQH19EFWvLgCAtkUHe6CtdldVCf+4cBDm3XgVzu7eFSyWsJtkxNa8e6ynD7WX90T46Cw7N2pwwjmH6hJ5bU0k97l\\u002ff+7\\u002f9ION1RZLBLxe9xBK5TkVFVPGEEKYo3V\\u002f1HMbMmQIAEAQxG6qqiCRiOua5jpdlqVZZWXTrvkVs+W0YWWZ2jseN2Zqmvp3KoDEYjFOCOlqk4IMNfEjYh9tOdwqKysH+v2Zn7k9rlslmesrl9dsfuKBhfLK5XVdXC5RBOXgFgPVGWJdvai7rCfCx2fbiWuTtTahxOI4wufHG0UXYtLoi1CY7YfFGAicqPs+wBgDpRSrV23FJzOXY\\u002fR1Z+K1d\\u002f6CZyfehGOO6w7GOAzDBKUE7775Oap3NEGSBHAOMAbIsmiecnqXqCSqMufWO9dee21tK0\\u002fcwcMhXUiE8KmRSFRXZCnrhJMKmpnF7N8yDkWTMf+z1diwrjqldTnjYIwhLz8df\\u002frbZfhgVjH8fhc456nU2nfeDCHgHLA4x3HdC\\u002fDB+Kvw5HlnIFOQYMUToAKxX1rcAlMFNJ3ZGQ3nd4PplZ3IPCeSTDkI8cx47ZvCV55ZFqmrC+zSNClTFOXSysqpL5eWlqb92Kh8kuWTMdbFTq0YwVAoVKtqYq4kCdMqKqY+XVVV5fk15faTwwwcGuSrCcEcTdPOMox4tK4m0kIICOc8o1u3bh4AqWzKDzlPMqZRWjrl94aB2W632j8WjTTNeG1N3UtPLs0NtegZqibaATedgQsULSfnoe6i7tBzNFuLo1WLE93EbScci0W3j8QVA\\u002fuBwWYj3p81lwyohQIxvFx+G16pvB0DTj4czFnLhACiKCKRMPDejCVwRg6BEHDDYOhxWFpdboG7sKUlxESRTgVSdOkHFYdE0IuKilhxcTGNx+MrOLfmSZLMjz0x36W6pQDn9igXWZawa1cL3n1rCQDHz3H6eLlTYdTz8HxceOmJ9sPcz1u36ehs7S6IFHcMOwnzbr4WV\\u002fY+HCyWALMsCKIAYnHAYIgdno7aK3oi3DvNXhQWI7D55YXVX9UXPHHfAmXVl9Vbqch0l8t9I7g4p7S0cmBy6usPMbGT\\u002fhfnXJckkYcCicYXH18a\\u002fHZ9fZ0kM0tVtdtjscSnpaVTjv0x5\\u002fmp0EqDXKpWVEx5jBDpVZdbybEsvfmdqm9qP5ixzlQ1CZbFE7qu6z\\u002fwNKS4uFh0+sazysqmTNE09SmPV1G3b2vY+dyjnyc+ef\\u002fbQlkSXILDxErjDHqOC3WX9kDg5Hz7KIYFKlBwAljROI5Kz8AH112GZ649D+l+F0zGQEH26ovv9aKczw08rTcGDe0Lzrmj5e21nAwkf\\u002fn5JixZtB4er5qM0BPTtPQBp3YS3G6XZBjmso0br5ubtFR+4DPaJw6VRucA6Pjx4w0AU+Nxk2Rmu7xHHZsbjcdNmzCCMSiKhHffWoJIOO6kIZKc1yRl0u9eaLO\\u002fSGp3k3Ec2Skb08ddgUmXnYvOqgtWLA7QpHY3YXklNJ7TFU1DCsElASTBUvzy4ZCR\\u002fvIzX+TMeG11XTQabvD7PUcTQj4pL6+85YcOk8jOziYAIAj0m3hcJ3mFnuxAQC98+uHFngWzt29j0ENut3sApWRWWVnF2F\\u002fw0IpUeemkSZP69OqlfqSqrjslifCG+sCu5x9fkvjw3fVdjzo2L0gJ5YRj0\\u002fjx46MH2ludHJpQUlJiVlRUnKJp3lk+r2cEpWZ40Zyt2558YLF7y6ZAvsstEU44YDJCLI7g8dmovawH9Hx3Gy0u2HUXBsNdp5yIebdei3OOPcxJmXGI+6HF9wZbwG1GU9rmGMkimdemzIWRMJNUz9wwOPIKPLG+x2QLnAmglL5cUkKY08By0HHITPeSkhILAFwudXo8HtsqSZJ24imFTBRJnDFiUzlrMtZ8vQ2ffboKwJ7mXCqQth\\u002fYmylICCBSW7tzAlw\\u002f6DgsvHUErju6D3jCaNXuTtQ13D8HdZf1QKLQLqFljEOQCJdlQZv1wZbCZ\\u002f+zRN+2raHa7Zbdsqw9V14+rbS0tDStdab7\\u002ftkdrQT91vxgMFSvuZSMoWd3q0kkLFdVxerCKS8vDwSDkTrNJadLkjK5svLVF5599llPm\\u002fP87Ggzd4xVVEwdJQjKPEVRBnPo8dUrdm178oHFytqVjXmdu\\u002fgCfY\\u002fLzonFdQKKt3\\u002fIeZL599LSyj8QSB+73epRgWCoceqkFY1TJ63MMwwrTVEoZ5zb7aRuCQ3ndEWzs3HDsCCIdsWWFY3hxJxcfDLmSjwy\\u002fCz4fS676rJN4Utb2Bbo918nIbbiaHuIZKXc9m0NmPXxSiia5BTTE2IaJo45PrclLc2TFQoFtwPG+8DBH66YxKH00ZMssWFJEiaBi+jVO8PduZsvZJos9UAY43h9yjznKwdunVqWLTPJfOTeXgoldsTUZHaTTOWYS\\u002fDa8PPR3eVur91jpm3qXdIdgQG5tl1iWIQTDpdbJFu\\u002fDRQ8\\u002fdAi95KF27YQwYx5PK4xoqDOSdJNFxcX71fhS9L3Hj169DZKUUaJhFNO75J52JEZNZxDXraoutOTDywkWzY1bhdFzlRVvcnvT589eXLlib+EjrukCT1x4kRvefmU5wVBLNc0JcMw441vv76mYdKzX2RHw1a6IPLEpVf3CWRk+PzRUHRVbm7WDAD7bZomz1NaWppXWjrldU3TnlA1wbVlc8O2px9aiEVzd3RVNVEmAgGzOKEJhlhPP2ov74nokemAzkA4hyAIsBI6XCC4d8ipmH3z1Ti9b\\u002fdU4cu+fPFkExZxgscHiqTyeW\\u002fG59i5rQGKIoFzzsEAVRXDA07rJBMiUoDNGDt27K62m9rBxiFdLMnoYVnZqz0Ac6nbraYvmrtlW+XEFZ1cLolybguqqsl49+N\\u002foE+\\u002fLmCWEwn93mPbLyAW07F5Uy3SM9zIL8gAYB9T2McxmPPwKSGoawrhHx\\u002fOwytfrgIEAkGS7M2CApAEqJsCSJ+zE1JLwuH7ImAmYBimfurQLnWXFPV2eTzujFAwmuDgd48du\\u002f997pxzMmHCBNKjxzHpnEfmuz3u3o0NwdoXHlsi1NZEsgRBgEBZ6ILLewdOP7ubT6CKLxyORghhfx4zZtQL+3ueg4m2fQClpVOOFQT6gqIoAwGD1ddHa6dNWmFtWt9cIMsi1XUjfuWIvjuGnN2zMBG3ZIMb54wdOfLT4cOHC04h0n6dp6xsymACvOTxenqbZjyycO7WhhmvfZOmJ5hfUWgq4MZkAYEBuQgdm2WTQhgMoiDAZBagGxjctTMeOe90DDi8MwDAclJme0Mykg4AsWgC27Y1IDvbj\\u002fQMN5K9F98HW8gJEgkDl5x9H75augkutwIOzuNRRk44Ob961O+OzYzHLSoI\\u002fNiRI0euSfIv7vcLOQAccq2QvPjJkysr\\u002fH7PyKamQPOTDy6yWhoTWYJoN+I3NYTw539ciXv+VZQyd\\u002fYXnAPBQASLFqxDoCWC8y\\u002fsD6\\u002ffBQDfeay2L\\u002fq9L77B3R\\u002fPw5q6BhBVsZtkGAdkAUIwgbT5NXCvawYXCSBQTjhILGaga\\u002fe0uhHjjtELO\\u002fs7MYsikYi\\u002fFomwO265ZVSdwy1v4TtqlZPPprKy8nhwYabqkrNbmiP10yav0FevqM9TFElIJEyj\\u002f0l5u64Y0Vfz+bUs0wAMwyjT9eifbrzxxiZH2Nnu50luJAAwYcKE743kJk1Gh0QTux+v7SIsL6+8nlLxEUVRMkASsa+W1tRVVaxOi0UtP8AhiTRUNKZf44knd84jXFLDkeBfxo4d\\u002fcj+LOS2G0F5+dQ7CSEPuD2aGgmHa6dPXa0vnrczV5VFmQjgnHFCdQuJfDeaTi+EXugGdGY3mVACK67Do6j4x2kn4M4zB0JSRKcJZe\\u002fCmvSzk0pi3uyvsXNHE04ZfCS6dM3+rsveA8nN4tP\\u002frcC1lz4CzSUn+85hWGb85j8OqD+2f9fO9fUt02+4YVTRwWCR+S78JII+YcIEPmXKlJM4F+a73JL1XtXqxg\\u002ff3ZirOVrdNEzk5afjk8UPID3dk9LWB4o5s77GjKpFOHXwkRh+7WkAWjuF9ibwnLdWO7UEo5jw4Tw8s2wFGABRlmBZzBZuAJ6vG5G2aBdozASXKSgh0OMMiiq0XHrVkeFThnROE6jqiUSiaxljN40Zc93c5P1\\u002f1+JOauXy8vKTCZGmu92uwkQiGpj1v2+bZ769MZMz4rUsC5nZWuOIccdEDuudlQcuyYlEfIVhmDeNHTtycVuhHjJkCB0yZIj1YxfN7Nmzxfr6ej58+HCWpF565ZVXMkRJe0SW5OtFCdDjesvMdzcGPv3o2xxREDRDN3m3nmm1w0f2s7r1yChMJBiMhPH3Mddf95AjwHtsSHt7FhMnTiwQRe1xl6ZeBWqy7Vuad02dtIru2BrM0zQRjNj94uBA6OgstJycC66IthanBCZjgG7gzG5d8eiFQ3BsD7tOh3G+j8o2WzCTAv7VF9+iauo89Do8H9eOHgJNkw\\u002f4+TFmZ5Guv\\u002fpJvDtjCbw+FzhjMHSOLt19dXf87RSNEEHVdeP80aNHfJocw3zAJ9pP\\u002fBR+HgGA4uJi0r17z\\u002f95vd4z63Y1V\\u002f+neF6aaXIXqC1okXAc\\u002f3n6eoz93VnfaXrvDW03hrpdLfj3fW\\u002fi20278Ie\\u002fXIzTzzgKgONjOQGT3dG2BXbW6s2464PP8FV1DaApEDiBxTmgCJB2RZDx2U6oO8NgigBCHVNeN42BgzrVXXp1H9Xnc2dGIvE45+wfo0df9xjw\\u002fSZ2UouVlZX1pER6SXO5zgQxjE3rGne9Vr5K3LUznCeKAiGER86\\u002f\\u002fPDG04d1y5BExRONJiKEsL+PGnXd07sfc+LEiV5R9PkEIVFgmvRwQpBlWWYWpUIa50yklDKAxxhDEyGsHiDbBQEbOfc0jxp1eZNDg5ZCaWnpQErlFzRNOxbQrbraSPWUV1ZImzc254iSSDlYbMjZ3ZrOv+Rw1ePxZDY3B6sJwW1jxoyc8X2bXVtTfdKk8rMooS\\u002f6\\u002fN6ehhGLLp63o+atV9fkGTpzywq1+751BtMno2VQAaKHpdnlq4wDAgGLJ5CuuVEyZCBuHnQ8xO\\u002fQ4pzbWZ2kq9jUGMIjD7yFDetq8Ie\\u002fXIzTTu9jr50DtDJt8gmKr1dtxaVn3+\\u002f0cFAQAkSjpjX6pmO2nzq4Z7fmptAiw4ydXl1dbR3qhp+fJKAze\\u002fZscejQoWZFRcUIUVSnEGLpr5Wt2rVo7o4umkvghBASCsYw8LTemP7fu1OdPwc6DL6tbzWt\\u002fDP8+\\u002f43ccKAXvjLPVfgiD6dANgvwY6Otj+23c5u7\\u002fihUAwPfboEjy3+ArppQFQUW7tLFES3kLaoBp4VjfbTEwkIJ4jHTHTq6q2\\u002f9oajjS5d0wo4lxCLRd+Kxazf33zzmJ3fNyaqLbe4prn\\u002fyTm5x+PVaDgUqX3n9bX6wrk7MgVBcJmmaR59fG5j0ah+xO935TCLIBaPvSrLQrGus0zO2SmCIB5nWdbRAHqpiuoSRApKqV2n4KR7OFoXOmN23UIioYMxto0Q\\u002fjUFWUUE\\u002foVpmosFQb5AEIR\\u002fy7LsI9QKL1u4o2n61NXuWNTK5JwhK1trHD6qb\\u002fTIfjkFBLIQDIY\\u002fEgR265gxYzY5cZrvtWgAoKJi6l85x30eryaFgpH6t6atjS2evz1XlkWFpkx1hmgPH5qHFMJMV4GEZTO+MAswLFxyeE88fP7p6N05x14T+9DibddKIm7glRf+h4nPzcSgM\\u002frh\\u002fv9cB3+a+4AVTuux7Y2h5O\\u002fT8PjD7yAzywuTWZwZIOlZav2d95wi+PzejFAodN3YsaOm\\u002fhSxlp8qcksA4N1339Ua61uW+9Lcvdatqa197tElHoEKHk4YKCGIxnS8\\u002fu5fMfTMo37UQ+bc9rM2b6rFbeNexJfLNuKm287Djbeeg4JOmQCSAk\\u002f32OXb+u7z1m7Bnz+ciyXbdwCqDAEUliPcrrVNSJ9fAyFsgCsUFAR6gkGSafiyq4+sP\\u002fn0LjmSqLqDwfBGQvC7MWOum\\u002f19pBbFxcX0X\\u002f\\u002f6F+Oco7y8\\u002fBxm0ed8fm9P04rHly+rrqmqXJ0RC5t+zoGMLLXu6jFHGb37ZWcxS1Ai4VgLFaB5vV7F7pwyYDETnLGArrOEYVg8HreonjAF02SUUsIlSbBkmTJFFbmiiIIgwkepJFMighCKcDgMPWE0CYKYoWoS4vFE03tvrAvPm7U1TxAE2bJM4\\u002fgBhTVXXHukmpbhyYlG9IRlWSWbN2\\u002f4dzKz8F0LOPnvVVVV2Xrcel5SlCsJNdj2LS07pkxcoe7YFsp2uUTCAE4Mi3DBmYhyQo49pNPkACVg8TjyvD48NOw0jDn5aECg+9TizGIgzns3TQvvvLkYD014A8FABA89MQZXXHVK6nP7ExTeHUnrsrEhhDNO\\u002fjsa6oIQRcEOHEdN6\\u002fzLDq+59Kp+ec1NoU3BYPOAO+64I3io\\u002fXPgJxwz3EoJPfUOl8v1JGPx0ItPLo2uXdWQq6oCCGxNev4lJ6Ci6s4f7KcnYZoMomgX4Tzx73dw\\u002f72vIzvbjzv+fCFGXn8mvD4NAJwyxfYCzznAYLcjxqM6Hvvsczw0fxkiehyCbAdVuEIhNsSQMaca2pagPeReIJyZIHrCTJx0WmHDldf1EzxeV140Eo8D\\u002fO6RI0c8BbQPOH3Xs6qqqsqLxfTHVVW7RhA5anYG6l4vW2lu+KYxTxBFSggi5196WMMZ5\\u002fVIkyTBrycsIxrRE81NseptmwPSzu3BvGBLIhaJ6LF4zOSJuCkk4pZoWUwghHBJFkxJppamiczlkUWPV\\u002fbn5LqDPQ9Pb8rO9WRoLildUUVZlKixbUtL42uTV2LLpkCuKApEFEnw4qt6tww+o1umLGvuYDC8hnPjltGjR88Bvjs20Z5yufx0QaCv+Hy+wwwjFpo3e2vg3elrfUaC+2TVLpqiOoORJqPp9ELEe6YBumXzElgWYDKMPKo3JpxzGnrkZ6Ysld21OGN2QjwpvJ9+tALPPvFffPjRMlx04Ul44vkb0alzppNS27\\u002fI+t5gWRYEQcDzT76Pf\\u002f5liu2bcwbGAEUVgn+ZcFosKyc9NxgI\\u002fW3s2JEP\\u002f1SZk59M0J0XzydNqsoShMRSr9fV9esV1dtfePzzfFkRRXAOxmxGjzc\\u002f+Dv6D+j1g7V6Em19q8UL1uHOWydi6Yr1OOm4I3Dz78\\u002fH8GtPgyyLzmdZu4omoL3Z99Wmavzx\\u002fdmYs2UbIEsQCYUpALA4\\u002fJ\\u002fXwvdFHQi3x0VRALGohYJO3l3XXn+U2b1XRgFjAo1Go9N0PXrH+PHjG77PlG8rKBUVU0cA9BFFEfJN02z+8J310XmfbktnjLviMcM6dkB+Q9+jsuk3qxsCm9Y1dYrFDGIYDJbJZEoFQgUKSu1ItJ0XtqsG4eSRGeNgFodlWSAUpiRRU5YFMTvPu+uo43MgSVT++L0NSizK\\u002fIJIkFforh9+XT+ra8+0bCMOwbSMl3Q99o\\u002fkfU2YMGGfwcD2gxMqbgPoo874o4YZr66NLp6\\u002fo1CWRYEKALc4iGkh2isdzYMLYPllUIODgQNxHT3T03D\\u002fOYNw9Un9ANg9DsIeLln7SPryL7\\u002fFU4+8i7ffWAxBEFD8wDW4\\u002fU8X2t\\u002f\\u002fkestmVKLhGK4aNi\\u002fsGbVdmguBQDn0YiBYRf22HFJUd9O0YjeTIhy9JgxRdXFxcXkp6At+0mLLlqDTlOKXS7XhIQeC7\\u002f02Ofhjetb8mSFcEopaWmO4Prxw\\u002fDYczfsVfgOFHZlk32cluYwJvztVUx+6WMIIsXpZ\\u002fTDzXecj2HnHteO4KJt4KWtdtcTBp6avQz3zf8coXgMVJJtLjGRQtvYgvQ5OyEGE+CyAErtqLwo0cilV\\u002fVuOPWMrpmSoHqCwfBKLvJx148cubSqqkoYPnw425dQJGMbZWVlQwHhdUqFbFUToWpC09uvr43OfHdjliRSNZEwYegMkiRAEJ0KLZqMcThT\\u002fRhPOuatcW+7wwKcEsDeBAhgT8Zh3BZ+w2Dg4NA0e2JJTp67+Za7TmzJyfV2CQYSAueEAfz+UaOuLd5Xqq\\u002f1Wdr++rPPPuvxetOflGXlBkG0+LbNLdVTJq2QqreFcuyoequpHhiQi2D\\u002fHIAQCBaHZZkgHBh\\u002f3FEoPu805KV796rFdxfwjetr8PxT7+PdN5dga20dBg\\u002fsh4efGIMTBx7mjD7mP3qtJdfrm68twO9GPQuf3wXGGGeMEElG6I\\u002f3nBLp0jU3r6mp5Znrrx\\u002f1+0OZN98dP2kbZJ8+fTgAwrn8UjgcaVRV2T3ozK6Mg+kAIRZjcHtVvPf259jybS0IaW0K+KEgxGbmtCyGtHQPnnzxRrxUfhvyCzLw8f++wpirn8R1VzyGxQvXOY0INkdYa919a5OMrEj487knY+HvrsY53buB6bpdRmswxHqloe7Knoj1SgNNMDCTQ1IoB+B+vfzrgmkTVzQGg+FGv999tMiEj8vKpqZq2PfWjlpcXEyHDh1qTppUMVaStFmqqmRLEgkvX7pz15MPLIzP\\u002fmhTtkChMsYgKwL3+CTYmyUAcMCwwBMmuM4IByG6RyaJbI3ECtwk1sVLYp29JJbvJol0lViKQGAywhPOd2BXhIkS4S6PyN0eCSD2UMvGumjaM\\u002f9Z4pleuaouEtZrJZkQt9t9b1lZ5as1NTWiIzS7KxDi1Lez0tLSY32+jFkej\\u002fsGQWSxxQu2b3n6P0u8tTsjOZrb7jijcZPoGRrqLumB4Em59hAEi8FKxNEvPR3\\u002fHXEpXrj2POSle2Exm051b7ROgkBRvbMJ9\\u002f3zNVw87F945fmPEGiJ4A+3X4Lp\\u002f70bJw48LPXZHyvk9lohsCyG0lc+tRtnbP+T6LqJY07IDxR0SksPBsMBQoTnOefkYJNLfOe1\\u002fVQnSiK5i5WXT33Y7Xb9NZaINj\\u002f1wEJr5\\u002fZwliQRUEIRCERw+58uQsnDIw44tfFdaKux167ejnvuqsScWatAQOBLc+G8C\\u002fvj9jsvQu++e4\\u002fQt9XuzLRQumgl\\u002fv7xfNRFIqCyDC4ScIvBv7QWvmX1IIyBSwKnAIlFTd65m79+1O+OiRd0Tuti6By6nngukYj+JdnokTRpkxWFU6dOPd40sUBWJCUUjNW\\u002fXrFSX\\u002fVlXSYBUSW5Na6Q1NbJnD8sjnhXH+LdvNAzVJhuCVyi4IKtuVNvnQPEYiAWB41ZkFriUHdG4Pqm2T4mISAWs48ttBUkQNdNnpauNl969ZHR\\u002ficVZMqiSwtHwv8YPXrEA21jEO2r3MquA8RnfD53WjQaa5jx+prEvFlbsmRJcqLqjBCDIdI7A82DCsA8EgSTwzJMiCD4\\u002fYnHoPi8QfB5tXYVjq3X1Wp6tzRH8GrFHEx88X\\u002fY8m0dOOco7JSBu+8djhFjhtjr4QcG3PaG5Lk\\u002fev9LjL7qSSiKPV4ZIOCcRf\\u002f0z9Oau\\u002fbIKWxuCk66\\u002fvqR437qqsafnNhgzZo1hHNOLCsxKRyONquKlH762d2jpsEskiSP0GS88doCbN1c57BkHpyAZFJjWxbDkX07Y+qbd+GPf7kUmktBJBxH1bT5uPDMEkz42zTUVDenGGotizl0Qa3anYoCbhh0HBbcfC2uPPJwsEQCPGFAIBSBUwpQf35Xp8\\u002fdSrLPkp3bQzmPP7jIv2T+tq2ixONer\\u002fdWRXHPnDx58mFODbuIVnpfbhjsb263S4lF442Tnl6aWLmsrlDTJFXVKE8JOecwfTL0HA3EsIWSMA7LIyJ0fA4ShR5YaTKYSwSXBXszEpwfkYCpIiyPBCNbRbRfFuJ5LlCDgRMCmrBg+BXo2Vq7zg5RBHd7JBKPWhnlL36VuXTRjmaLJ0zG2F8rKys7TZ8+3SouLqbJ2u2Skgm8omLKA6KoVnq8atqumuYdzz26RJ\\u002f78ZZCVZEUIgDQGQEhaB5ciMZzugIuCdAZrHgCR2dk4MNRV+CxorPh82qwbHaWlJC3zbRwzlE1bR4uGXYf\\u002fvmXKajZ0QQCYOhZR2PGzH9gxJghrab6QRLyJGecYViY+PxHMAwjqSB4PGbxo47La8kr9GQFAyGdUuEJ4NA1r+wLP0tjRCsLyZQXvV73+HA43PTkAwtZ7a5YliSBC4JAmppCuPOvl+LeB645qFo9ibbH\\u002fHjmcvzzz5XYuL4Gbo+KcCiKTl2yccPNZ+O6MUOQkekF0F5jtNXuAFC5aCX++b\\u002f52BpoAVVUMJlCaE4gY\\u002fYOaJsD4LJTYGNrw8Tgs7rWX1rUR3W7XVnBYGQ7Y\\u002frvxo4dO9OuJCzh06ZNTdN1a53Hq2Z+9N\\u002f1O2ZMW9vF65O5ZTlmMQeYStFySgEiR6SBmByelQ1IW1oHYtmCWntJD+idPTZJ5nf19HMAFKBxC3lvbITYkgAIQahvBoID8mC5RSg1UaTP3QGpMZ5Kh1AKbhiE+NKk2jvvOVnMyPRnRiLRUaNHX1dZVVUlFxUV6RMnTiuQJPai2+2+iHE9sfKr2vrXSldq4aCeqWgCZ04Zq5GuomlIIeI9\\u002fBAMDiuRgExF3HVyf\\u002fxt2MnweFRYjNsGSRsBJ23+\\u002f5OPluPZx\\u002f+LBXPXQBJF26+nBLfeeSHu+vtlEEXhRwfc9obkMT+ZuRzXXv4oXE65KwDOOI\\u002f\\u002f\\u002fq8DG47s26lzQ0NLxfXXjxz9U6TTdsfPQlWU3M0otZ4KhyNxj0f1Dzm3R8yyLIuAEMuy4PFoeK1yLrZva3CixAf3uVCHSZZZHMPOPRbvfnIvLi86GeFQDB6vC02NIdz71ym4eNj9mFb+mT0mytEYSeaQpHbnHBh58tFYeMsIjDy6L1hCB6I6eJqChgu7ITggD4TDpq0SwDVNVOZ8vLXwuUcXJ3bubKrxeNXOoqC+W1o65U\\u002f2iChwxoTuBMSlJ0y2c0soJsti+3gFAYjB4VndBG17GFwVEDopDw3ndYWliqAJC67NQeez3yHkSYgU6o4wxJYEuEDRPLgAzWd1huWXILYk4FnZADFktMt5MgYiSUBjfTSztibiFQTCLYv1cnrU9dLSKaeKovWZx+O5yDDjwZlvr6ue9MyyrFjEzJQ1wek4sxDplYbay3tC7+63+QGicQwsyMcno6\\u002fEA5cNdYTcHnVEiMNE1Mat+uqLbzH26idx3eWPYeG8tfD5XEjoJrp2y0LZa3\\u002fE3fde6bCyHnwhh5MGZozjxWdnOpRnBJQCiQQjxxyf19itR3pOoCUcVxTlaQDkUPWcfxd+FkF3aKHp6NGj1xKCVwFROH5AgadzV1+jYdg7oSQJ2FXTjOee+G9ydhsOEpd9CoQQUME2zXNy\\u002fXi58nb85+nroSoS4nEd2dk+bFxXjTvGv4wrL3gIH7y7LBW4SY5xTlaaWYyjINuPijGX4PWiC9HL7wMLRQFK0DK4APXndIGliaAJkzBwuFwi2bwxUPjUAwtdK5ft2K66BO52ux4tK6ucOnHi217Ligc4QEEAQQTZ2z5HGIe6M4Ts9zbD+0UdYNltmo3DOoPLFNrWYKs2\\u002f07YhSfaliCowdB8agFCx+cAHFC2hZHz9rfwrG0C0ffuUlICTgjhsOmidLtHfcoNgkBnen3uw1oCwcayF75qfu\\u002fN9V0kUVCpRDgMC+AczacUoPH8buA+BSwcg4tQ\\u002fOuMU\\u002fHZzddgUN9uMNu0kia7HQm1Z+99s2Y77hj\\u002fMi4Z9i+8O+NzuNwKVEVCS0sUV159KmZ89A+cee4xjuuFgxJw2x2WE2n\\u002f8L1lmDf7a7jdKjhnnDECRSaRM87tQRVFVQxDf3\\u002fEiKIviouLDwmDzPfhZyMfnDBhAgBAUcTHw+FoRFXEtLPO66mblqUDhDDG4PFqmFY+B18t+3av\\u002fO4HC0k2G8Y4brhpGF5\\u002f76\\u002fof2IvNDSEoLlk+PwuLJ7\\u002fDcZe8yRGDn8cSxetT5WUMsZSLKGM22mpooH9sOjW6zD+hGPAEwYQ0ZHonYG6y3oi3tkLGrcZbGSVIhox\\u002fS8\\u002f80XOzHfW11hWIpKW5r9WEILvUSpewRmXKaVcc0lOBHfPa2eyAE6A9HnV8HzdCFgM8R4+NJ+cB6k5ATGoA98374MQIG5B2RVF+MgMhI\\u002fLAiwGqTaK7JlbIYZ0ME3c64bBOSDJQlzVRMsxpfuVl099WBSViZomebZtbtz6zEOL+fKlNV1dbknglHOSsIjpkdFwQTeET8kHZwwsGMVpnTph9tjh+OdFg6FoMizGITrntKPj9rvaVd2MB+6twqVn34+KybMAEKSnuxEOxaCoMh5+YjReKr8VefnpYI5Z\\u002fWOKr74LhBBEIwk8\\u002fvDb9jty0pqJhMmPHVAQ6NI9LS0UipuiJD2Cn8lVxs95YqA1Al9aWvGK1+MdF9ejLc88vMjcujmUJcv2pIxQMIazzj0Wr73zl0Piq++OZGVTMBDFwyXTMenF\\u002f4EKAtxuBYZhIRyKweVWcOnwk3H7nRfi8N6FzvdaTUmTsRQl0XtfrcNfZ87F2to6EJ8GagC+BdXwLq8HFwiIQDnnIPGYYR53Yn79tdcfTb1eV66uMxDCQCgPlr24vOGrJTU9ZIVwvrcBlQQ2wy2lKeokYjDkzNiESJ8Mm+02Ye5ds3MAIoXUEEPWR9vsIGKGChozkf3Ot1B2RcFlYZ80Kw7hR\\u002fjmuwZEe\\u002ffNyUzEmSAIIggxjC8WV1e\\u002fVrEqTY8zv6xSMIuD6hai3f1oGdoJVqYKFojCq2r4x6ABuGPIiVA0Z55ZMtPRppYiEo6jfOKnmPzyJ9i0vhpujwpFkWCaDMFABCcP6oNHnx6LPkd1sb\\u002fL28zmPgRIVl8++\\u002fh\\u002f8c+\\u002fTrFHJtsEqCCER+\\u002f852lNXbtnd2ppDLy1Zdum4cDPN9PvZxV0zjkFwMvKph1BCF\\u002fqcsueVV9Ub3\\u002fp6WX5qiaJ3BHsaCSBBx8bjXG3nJ16uIcSbTeUd95YjJJ7XsWWb+vgT3MDxKamDoViyMnxY+T1Z2DUDWegSze7XzkZmHGIRCAQgsaWCEo+mo\\u002fnlq0AI4DgUqCuakDa\\u002fGoIybZXEMRiJnILXHVjfnd8ovthmZlbNzU1vzN9Hd3wTUMupclpFPsABUiCId7Vi7oLuwGKCPeqRtC4idCAXHuu974EXbFJNpRdEQQG5gMU8C+oQdriXbYm\\u002fy5LioBzBqKoUmjYBd2bB53RzS+IlP13+prIxx9uzpIkUaUiAJMBjCN4bA5Cp+bDIhyIJHBWz+547MIhOLq7Td6YrEZsWyxlWQxvvLoAzz7+Hlav2gZFlaCqMgghiEUT4BwYf\\u002fu5uLt4ODRNTnWPHcrVnXzPK7\\u002fagqKLH0YoGEvWtPNoxCSDzuy6\\u002farRR+XFYwZEkZw8YsSIL\\u002faHdONQ4WcVdAAYPrxKmD69yCotrXzG4\\u002fHcltCjoRceXxbe9E1jvqxQDhBit5gCFVV3Yuiwow9J5HR3tK2W2r6tAXf\\u002foQwfvLcMHo+W2mgMw0IkHEe3HjkYPe4sjLt5GDxeu4Y+2TRj8Vbt\\u002ftGKjfjzB59hVW0d4HdBrYki\\u002fZNtkOtiYIrd456IM3h9UvCwvpmxNSvqtVjE9MnKft4rAYjJUX9OF8T6ZEJojkHdEUGkjzNTbG9vmwNQKNRvg2AShd7VC7E2hty3NoLG2X47d4wBiYRpHXFkZrMoCdaaVXVZmiYJnIAT3SJMFREYXIhwv0zwcAyZigvFQwfipkHHQVKkVEQ9aTjYwVLgow++wAtPfYiFc9dCEClUTU7dRjAQRbceuSh+8BpcfPlJqed+qNdGchOqrwvgygsewtqvt8PlVsE442CEiDJCf7zn1HDnrtn5zU0tZddfP3rsT1kFtzf87AMC+vSxI\\u002fCci\\u002f8JhcKNsix7zr2oJyOUxwGbRFIQBRiGhdtufAmrVmyBIFBYe5m7fjCRDLpZFkPnLlmofONOlDx0LQSRIhyOIzmjKy3djdpdLSi5ZxouPPNfeLViTpvFZndQJSfJnHNML8y75VrcNegkiFED8UwRDZf3QuQIp5rO4pBVymMx07dsQXWuaXCfotH9D0w4BS6e9S2AboKpIhL5LlsK97WlEwAmg5GpwvQrAANcmwIQwwYg7L8eoBRwuyVh04bmrHVrGnI1lyRwcNCESYxsFxov64nQkWngLVFc1KsnFtx0DW4\\u002fawAkRXK0eKslRSnB0sUbMGr44xhd9AQWzl0Dt0eBokgAt7vOAi0RnH\\u002fxCZgx8x5cfPlJTi4dh14BMHvzj0YSuG2cvR49Xi01eSURN3DSqZ2bCzunZYRD0RZBwH8A\\u002fKRVcHvDz67RgbYsK5X3apq7xGLx2KuTVzYtmVddqLqEVM1yLKYjJ9ePyul\\u002fwjHHd\\u002f9Jdm8gma+1o+sL563FPXdVYvmX38LvUFbZEV2CaDQBy7Rw0qm98Yc\\u002fX4xh5x2X+j7AwQlJ5d0\\u002f+\\u002fpb\\u002fGXmPCzdVQMoMtK\\u002fbIBnUbVdLSPajTGc87375N8FDnCZoqboMFh+GdjfYiMC2NQ6BLlvbIRSHQGXvttb2OthkvXzzCaIiPVOR9PQTrCohTzZhX+dcQrGDT4OxGklJRypYhfArkl\\u002f5vH38M4bSxAKRp0uQ5LqV4hE4tA0BX++53Lc8ofzU5vxT7EOkueJxw2MH\\u002f0s3nvrc6dv3QIh4JYF4vaILXfde5qelZ2W09ISePr660ff8VNXwe0NP7tGB+y8OueciGL6M9FoZIsoKNq5lxwuevxik2lx5yEyaJqMXTUtGFX0OD5fvMHW7JZ10HPsuyNJ42tZDKcMOhJvvP83jLz+DETCCRiGlaq20zQZHq8LSxetx8grH8OooiewdPGGFJk\\u002fkiQPnGNIvx6Yc+s1+OepAyFbHM3HpaP5ou5gbsmmmgZwwEIO2IUvMQtyk130st+CagcUIIYMiAHdbnT5AY+Vg9j1AgBCgwtQP6wTLG7iml6HYcEt1+LGof0BJ8tBHA0uCBQ1O5tQcs+ruOCMCaiYNAuWZTlNIfYmSQhBc3MYRx\\u002fbDdPfvxu33XlhakDCTynkzU1hjBvxNN57awn8aS67VRa2BWjoZvyi4b1bMrO9GS2BUKMk0UeAgz9H7YfgF6HRgbb96tOKJEl4XZC49eWS6l1lL36ZoymSlKxtTmp2j1fFo0\\u002ffgEuHDwSw9zbTQ4G2gbrp0+bj3r9ORV1dC3w+V4p6OvnvwWAMPp+Gy4afjJvvOL81Qm\\u002favm+SvmrRum34038\\u002fw6K6GtCQhbzPqiFtDYKpwgEJmz3RhgM6Q7B\\u002fDloGFwIJa\\u002f\\u002feskOXpa0PIGvmFrubDQdYqEQIiG6B+2Q0nNkZsUIV3WQPSs44GaNOt60bi3GA2VN0AKClOYypZZ9h4gv\\u002fw+Zva+HxqJAk0WksQkqDWibDyHFDce99V6fYX\\u002fbGFHSw0ZZPbvOmWtw09jksXbzBFnKz9X1HIyZOGlxYfd0Nx\\u002foJJHcsFrl9zJhRz\\u002f4StDnwCxJ0oLWNtbS0otLt9lwH6JE3p61tmDXz2y4utwTGGAEAKlAYCQMAwW13XoC77rkCkiQ47CE\\u002fxctPdrYRrFu7E3+7sxyzP14Jr09LFdMAcCwOO0Kfl5+Gq0YMxk2\\u002fPw95+ekAHE56Ygt8LKbjmdlLUbJ4GaKhKLI+b4RnVT2sZCPK98gbIQSmadldZwyIdfKg7rKe3x0xbwvGAU2Ef3410hbtgqkKYLoFSRb3T9gJQBMMRmcvqk\\u002fPA\\u002fwyxhxxBB68eCjys3z28ATTSvUPJBIm3nljEZ598n2s+moLNJcMRZFSdevJgQjBYAz5Ben4531X4arrBqee20+pxQHg45lf4e4\\u002flGPr5lr4\\u002fC6YrULOEwlGCjp5dt3x94HE4\\u002fbmBoOhj3Q9etEnn3zCqqqq9tmG\\u002fFPiFyXoyfbGioqKDMaEOW632jeRSDRPeu6L4NqV9V1VrbUMNDmUMRSMYsiwY\\u002fDAIyPRp5\\u002fD2f0TL4REwsBjD87Ac0++D9NkcLnklHYHbIHXdRORSAJdu+fg5tvPxcjrz4DbowKwg0uiaA9g+XLTTvzlgzn4dNt2uFa3IPvzWnDD5qvbl9ASQmAYJnLz0sE5Q\\u002f2uAKhHRu0l3WFkuwBjP6rjnEBeznubIW0LQfWpyMtLw8b1NZAVad\\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\\u002fvjXSw9ZM8ru2J0p+H8ffIX\\u002f3P8mvly2CR6P2q46kxDCmcmJKNPm8Xf0j\\u002ffsnZ0fixo6YF48evToj34pJnsSvzhBB9pxnZ9PqfSWJIlKOBhrevGJz\\u002fVtSW7vNouDChSGbiIe03HcCT1xw03DcNV1g1MvLCnw2M8pGweKtiw21TubMOHuqXjz9YVQNRmyLLbT7kmBj0YTsCyG0wb3wU2\\u002fPw\\u002fnXtgfgK3dBVEAAbBmay3+8vE8vL94DTLm1cBfF4dpZ+3agRAgHjdQ+caf4PGouPDMf8HvVhHL0VB7Wc\\u002fvf8uMA6qItM92IH1FI1picVx4yYl4pfJ2XHTmv\\u002fDl0k3w+rR29wECCAzQ3SKqT8rGkSf1wGNnDsZ5\\u002fQ8HAOiGBVmyrZRv1uzA80++j7eqFtnxFY\\u002fqdPLt+VxaWiLo068LHn5iNAYNsS2CQ1kRyZ1aeqCVYWbNqu149on3MGP6Ylgmg9ujpGIGzrVy0+REEBAcd3v\\u002fyJH9cnL1BKeGGRs3duzYSb80IQd+oYIOtNIoTZ5cfpUsyxWiKMiRSKyp4qXl4bUrGzprbpG0FfbkQomE42Cc47TBfTB2\\u002fDCcc\\u002f7xUDWbPtpuimj1Ew822mr3yS9\\u002fjH\\u002f\\u002f6w00NoTg9blgme3fe3LjCYdjkEQB513UH7f+8UL0H9ALAKCbFmRRACzgpUVfoeS\\u002fcxGtXIH0KLeZaNudl0OSBMycW4JuPXJx7uB7sfrr7XDLEurO7IRov0wgZtq+\\u002fh4XzQFZgNgUR+5bmyDpDOFoHJOm3oGLLz8Jo4c\\u002fjnff\\u002frxNeacNAiABjpbzuuHm4YNRMuQk+NLc0A0TsmTz8O3c3oiXn5+JaWVz0NgQhMerpeIWbZF0beIxHVddNxglD49Ado7vkFpkzGLgaJ93X\\u002f7Ft5hSOhszpi9Gc3MYHq\\u002fqVOm1USqUIJFg8PqlhrHjjzN6HJGZx0xCEnrijrFjRz39fVyAPxd+sYIOtO1brxhBqVCmKrJoWHrTG1O+Di2YvaOTqokCoZxz1noftqBxRMJxcADH9e+JS4cPxCWXn4ROXbJSx05WvjlsPwfN92vrR65cvhl\\u002fuaMUixesh8+v7bFogNaGmnAoBq9Xw+VXnYLb77wQ3XvlAWiNA2xuDOBPf5iMRdO\\u002fgOJV2mlDDnsBvj3zHhx3Qk+8\\u002fcYijL32aXhVGVa6itpLe8BKk4HEXgpnHMaZrA+3wrcpiNpAGJdcdhImTbsDqiphxOWP4sP3lqUi3YAdHzHjJgr75OM\\u002fk8djSL8e7Up+g4EoJr34MSpLZ+HbjbXwelWnTZS38\\u002fWTrlc4FEdGlgd\\u002fLy7CqBvPBMHBjbMk37VN+NJ+iEcwGMOS+d\\u002fg1SlzMefTVWhqtAU82dbaqsWdBpaoicLO3pobbjue5RekFcaiBkzLuGPs2FFP\\u002fxI1eRK\\u002faEEH2gp75QWSKJbLipzJuN4y+8PNwfdnrE9jDD5JJpyx9jxlSY0ZjcSdNtQ0nH5mP5x8Wm8MHtoP3Xvm7nEu07Tg8CM6Jj5p\\u002fdP+Y7+RrMkPB2P4zwNv4pXn\\u002fwdwQNWkPTQaYAu8aVoIhxPIzfNj1A1n4Prxw5CXn55iN127chsuPPs+JOIGBCE5SoVAtDhCuo6RN5yBx5+5AQDw9CPv4uH734RMCOL5bjSfXgg9Q23fnEIIqMmQtqAavtVNiFkMxx3fHa++\\u002fRekpbuxYN5ajL3qCUSjun2+NuWpoVAMz748HteMHgLDtOzYgslQNW0unnv8faxdvQOKKkJV5b3er+3v2nPzTj29D\\u002f79xBj0O6Zryow+0E03+b22fyaj97tvGKZp4fOF6\\u002fHZp6vw8czlWL1qq1MHoUCShD2ul1DCmQWi64bRf0B+Q9Goo+Dze\\u002fOj0XjINI2bf6ohDD8Gv3hBB1qFfdKkipNEUSh3uVxHcK4ntnzbVDtt8ip157ZQjuYSAdJeuwOtAm8LUQwCpcjLT8fRx3fH4KH9cFz\\u002fHujaLRv5hRn7fT2pCSdtAm1tN4bkZtHWlH\\u002fnzSWYcPdUbN1a55jBfI9IdtL9MAwLkVAMPQ\\u002fPx423nINrRp0On1OFd8X5D2LOrK\\u002ftQFbCRLSnH4QQuNY1Q+cMZ5x\\u002fHC6\\u002f6hR07ZaN\\u002f9z3Jj77dBU8FkGgXyaazuoMm4PKOa9AkP3uZri\\u002fDcCQKNxuFff95zp075GLjz74EtPKP0NLU6Rdii2ZxsvI8ODTxQ8gJzcNnHPM\\u002fO8XeOax\\u002f+LzxeshigI0Td4j0JaEIFLEojooIbj5jvPx539ckYpmt21GSWph3u7vySrF\\u002fbfCIpEEdmyrx\\u002fpvqjF\\u002fzmosnPsNdmxvQFNjCJomQ9XkVDXfbhYHJ4SQRNyCqgnhS4qObBo4qFOWLLtcwWB4E8DHjR078rOkm7nfC+hnwK9C0AF7VnZJSYk5ceK0AkXBM7KsXE6IhXA43jjz7fWR+Z9tz2YWNEWlbQIsrUiaiQCQSBgwDBOmwSBKAnr0ykW37rno3DUbXbvlIDfPj6wcP7KzfcjO9cPvd0MQKSRJ2K+FlSyysP\\u002fH7siSJAGbN9Xinrsq8MG7y+D2qHbufy+CkBT4eNxAPK7juP49MP62c1E0YhBmf7IKRRc+DI9PBTMZLE1E3SU9oNTH4V3RAHNHAGbchChSePwaDEVAqG8mwkdngrVtN+UARIKct7+Fuj0EJlKI1PaVw6EYBEdYRVFot\\u002fgFkaKxPoS\\u002fFV+Jv00owrzPVuOFpz7Apx+tAOMcbrcKYO8CnhTQQEsEPXrl4YFHR+LcC\\u002fuDcw7TZO1MakoIyH4G4EzTgqGbaG6OoL62BfV1QdTXB7FtSx02b6rFtq31WP\\u002fNztTUFEGgkBUxVZiz+7UmNxDD4DAM0+zdN6vu8mv7oLCzv4AzEfF47A3DoHeMG3dt9S9dkyfxqxF0oP2Ek8rKqXcSTotVl+KzLD2+aV1j4wdvryfr1jZliSKVJSlZLb7nPbbVBpxzJBIGEnETlmVBkkRIkgBREiCK9o+qSkjP9CIn12\\u002fPyc70ICfHh+y8dKSnu5GW7oHPr8HncyEt3Z3SvvvCK89\\u002fhP\\u002fc\\u002fyZamiNwuZR95qhTAcZIHIxxnDLoSNz8+\\u002fPx4tMfYuH8tXB7VSBiINwvE40XdgMJG5BbdCjNCXDDgqGJ0PNcYB7Jrnlvu6CdlFr6p9vhXdUILlNwO7uUMnX39KntfH12rh\\u002f\\u002ffmI0\\u002fvfBcrw+dT7isUSbyTf7uhe72y+RMHDZlSfjwcdHIyfX\\u002f53PKRpJIByKoaUlikBLBM3NYbQ0hdFQH0R9bQBNTWHU1wdQXxtEXW0LIpE4TJPBNCyYpgU9YcCyGGRZgqpJzqZl33zStN\\u002ftGjkhhJgmh56wkJPnahp2Qc\\u002fIgNM6+1VV84VD8SDnRvHo0SOfBL5\\u002fUu4vCb8qQQdaxzATQnhZWVl\\u002fSqV\\u002fS5J8piRT6IlE08ov64KffLDBvX1r0EsIVWXZMQW\\u002fo0EkGdm1ub\\u002faBuq4Y37aGppZDBazu8wYY7A4gyxK8HhVuN0qXG4FHq8Kj1dDerobOblp9ubg\\u002fJmV7UNOXhpycvxYung97vvn69i4rhqE7iVn1u767H8POQG79Awv6mpbnJFTALE4Gs7tgmjvDMC0AJECcHo+zTYC3vbuHUFPm7MDvq8awOX9a2CxLIa0NDeoQLF9az18ftdeI+l7gsPvd2P87efi6pGng3OOpsYQmhpCqKsLoK42iPq6FtTtCqCuLoBwKIpIKIFoNIFwOI5IOI5QKIZYPAEKCirY\\u002fQOCQCE41FLJWXpJyyH5Xpnjau1tQyWkNSBgGhyGbloZmVrklKFdm08d0sWTkeHO1HWOeDzxX9O0\\u002fjZu3Kivk2Oqfy1CDvwKBT2J9lM4p9zAOf2726X1ALUQjyWaVn5ZG180b7ux8ZuGPMuCLAoCkWRywB1hrZY6SXVmkdTvnRZUi8GymC38zt85a+NLOgsuaY56PCqO7NcZgkDx5dKNtpZp4zrvC9Rpz7UtDyH1PWJxmF4ZtZf3hOWRbJKHZPRwX3eaFPR51fB9Ubffgk6IHWjknENR9h5Y3PM7tl\\u002ff96gu6NItG2tWbUd9XQDhcDwV2eZthDFJPkHbCLHg\\u002fCTdr6TQtnfT9nTZvuM+OCGEWCZgGCY44Swv31d\\u002f0qmF1sDBneFP0woIREQj0fUg5L6RI6+dAnz\\u002fCOxfKn61gg60znMDwMvLyzMplW\\u002fhnP\\u002fO5XJ1IsREIqEHtm8LtCyes13asLZJqa0NewRBUGR5L1VewH4J296Q9NtTm4KzGTiN9qnPJf9qjyg2AACaJv+gc7XTTsTmYI\\u002f29KHhgm72eZKbx76QNN1n74B3xf5r9LbXcSANL8miHkM3oSgSRElICW3bzbTt3tQqzO3\\u002ff\\u002f9Pir3ek92JCCTiBk9L15o6d\\u002ffjlNO7NvXo5c\\u002f3p7s8ApURCIS3UYrnw+HAy7fcckuzU55NvmsE9C8Zv2pBT6LtLlteXt6FMToGnF+vuVxdFVWEnogjEjZ2btrYpCyes81cs7I+R1IoaReh5wBhvHXaSZvfH2y0jRYfNMJLApCEhfBRWWg6q7Ot1b9L2J1gXOaHW+He0PKDes8P+BLb0DUfiPY9sJO0\\u002foWYDJygXaGQU5+OzCyl5czzexqH9c7Ss7JdWYqqqYm4gUgktplS8gpgVowZM2Yn8OvV4m3xmxB0wG6ISY7iBYCJE9\\u002f2imLoWkLIFZbFhvp8XpEKFpoaojv\\u002ffe9cbyxq+ohgZ2vAAS4RWB4JUkPc7s2msHmMnR\\u002fiBHEOtTD8KBCA6gyB\\u002fjloGVQAWMy+l329ZYEg7\\u002fUNkGujP4mgHxIk\\u002fShuxyIIg\\u002f0nB\\u002fQMBdRkoNHWqkCnc868\\u002ftbjtw8c1KWzoVMxFAyDEDKLUkwLBuXXb7utKAzYAv5dQzB\\u002fTRB\\u002f7gs4WHBehlVcXEz79u1LioouDQF4CcBLZWXTjo6Go6Mszv\\u002fo8ct5x5yQVzP3k60+1SWSJI0ysYDAibkwPTJcm1qg7IxADBsQYiZo3LJnjwnO5NG2pmZSOn4JS4EDTKbwfVkHalhoOr2T\\u002fYYN1r78lQMQCISQASFq7L009peGvV0iA4jJQEwOLhAwTYTpkZDIdyHaww8mUWR\\u002ftC31fQJw02CksLOv6Yi+2TmhFkM0THMypcKzo0Zdszwp0FVVVcLq1av5r12Lt8Wv4A3\\u002fYJCqqiq6evVq7kRHSVlZ5Tyfz3Pq1s311Y\\u002fft9APStxw5u3SuInwkRlovLC7HblmgBhIQK6PQa6PQ2qKQ2qM2dNKnKGGhAOcos3wQpJ0zH9ewXc0e6SnH81DCmH5FZuAwvm3ZBOL65smZH20zd68fkloE+sAh6Opd8seEAJLE2BkaDAyVRgZKvQcDXqWar8LTYBvXg3S51enCDwoJTwaNcxrxhxdO\\u002fis7oWhQKzGYnrvcePGhdpYhPsc+\\u002fxrxm9Go+8FyR2ZLFu2TDrhhBMMSukLiYR5al6hN+PoE\\u002fOali7Y6dI0u2iFyQJcG1oQ\\u002fjaARBcvYFkw\\u002fQrMTA3RIwEkLNCECTFsQGpIQKmPQmxKQIgaEKImaMwEMXlK63OK1igTIW2U\\u002f0+wCXCAKRTujS2QmuNoOa0AsZ5+W1CSpJqMQfs2aPux6vdQOh8K7C7MqRI4O4uQEm4AlibC8kqwXKI9UDLbBT1bg+mXwFQRXBWcdACz04kAhF1ReFfa9QHOabhhMJKT5w4fe2KeQolMQOKvjBs3LvTSSy9JhBATwG9Gg++O37KgJ8FPOOEEAwBpbm54w+dL\\u002f6vP7z1q8Bnd+PKlNXHGYFd6OGkq\\u002fxd1qCt0O6FZDlhmqhmCKSJ0tww9z40IybC1RNiAEDYghnSIAR1SUwJScxxSIAFicHsssckAzm3N6fj87dj6DoWMMYCpAqQWHdnvb0G4dwaC\\u002fXNgZiqARKF8G4Tr26BdLfdTCXkqnN5GmB3ySi5Qe9KrSGB6FejpCswMBUaaAssjwfTKsLwykCTg4PY92jzTVuodARwQKHwrGiCGEmCKaJPvUUIMw8RpQ7qEfGmuTsFgpM6ySKmTE7fwG9TibfH\\u002fQdABAFVVVbSoqCgxZcqUp0yDTezS3ZfRp19288qv6uyyWQZwmULdGoJnTRPCx2S3EjZQgBgMSk0Uic4ecAbAma7HVAHMJcLIdzsFKrbPSAwLUosOsSUBKZiAEDQgRGztL4QN0OQcM0fb86TWP5hgsLMIHPB83QjX5gDCfTMR7+xG2vxdIIb10wThuBMkS9arCwSmW4LlFmG5ZVheCaZPhpEmw0hXwTQBXKB24Q8ltmAz3n7jFSnkXVH7GD6H7ZYDkAQo28LwrG5qLfkldjFMTq6rccBpnTyEi5Sx6Ovjxo3a6vPJQklJyW9WkyfxC3PODh2SNFWVlZUuw8CStDRP32\\u002fW7Kp+5j+L02VJ0FI5WsbBXBJqr+wJ0yenTEFIBP4Fu+w54kdmADGrVSsnI7\\u002fJVA61A3cprjcCewOImhAiJmjMgBgy7NloLQn7z4AOsh\\u002fFJz8YBHbwymCtKcSfwjengOmVYaQpMNMU6OkqLK8E5hJhuUQwtwQoQuvnk0LN4AgvT20QKRNfohAb4\\u002fAtb0DT4IJW85\\u002fYcZOctze1o6umlPBoxLCuGt2vZujZPfNDoURYUYTjrrnmmi0\\u002fxwjjnwP\\u002fbzQ6IYRXVVUJo0aNilRUTL3fNNirPXql+fsdndOy8qs6TXNmddvR6AT8i3ah8Vx7hhfhHFwUYPkkpM+tRqKTB5ZbAiwGYjDQuAWacH7i9o+QMEF0BqJboAYHNSwQyzFVua2dqMlSUWNQHFoP0REErvyEaTQOOzVpMHszCxmQd0Xt4CWBTfssEHCJgkvUHhgpU1iKCK5QWIoArohgqgBLFewZcM7mlD63GswlAS4JiBj28WQR3sW7oOyMpAqACAH0BCOFnb2BASd3coFLImOxZ6655rotw4cPFwghv3ltDvw\\u002fEnTA5tcuLi6mqiq9FQ5HFqSl+08995LDmtetqQ8zBg8Ae3HKAtzfNCOR50L4+BybncXi0DM10ISFnBnfwnRLEMI6qOn44ZYtvLYws5QPmtL0yZLZVBAKbYJ1h8h03xt+St1FAGJwCLqBlM5MamfnWkibIJw9CYOkUplMoHZwUyDgAgWTqe2nMw7X1hAaz+xsP3MOcEWAujkI\\u002f9La9u4IIeCwEhde0Tvq8mqdQ8HwDkkiLxQXF393g8FvDL+IAQ4\\u002fFQghfM2avqSoqEgXRXJ\\u002fJBxnnbv58844p2dTPGaA0lYTjosE6YtqIG8P2VHdhGWncdIVyLVRaNuCkBvjEIM6hKgJojsamxJAFsBdErhHBnfbZipTRDDF1lhcFgBZACTqLGICIuydMik5oqjtzz7ubY\\u002fP7aul9vvomVr7vVt\\u002f9vk52vqzt+MSSkBEagfRJGrfd\\u002fI5KIL9XDQR3O08L5dkf0agoIyD6BaEqAkxqEOuj0H7NgBtSxCWIiBRYDPccplCCBpI\\u002f2yHvcE610Ap4fGYiRNOLmzsd1xOJjMBDuuxkSNH1vTt2\\u002fdX1ZTyY\\u002fH\\u002fxkdvC845JYSwyZMrpvl8vmui0VDTc48sSWzdHMxXFMoZc7gjTAYjTUX9xd1tf10gSP9kO7xfN+45Stj5q2FaNr98m5p0QaApOufk73TdBKXUaU5p\\u002f\\u002f9tP5dImNhd8diTRNufXtdNpwe+NbQty1JqsmsSjDEYugUqtD9XW+i6abOztD2WIu3xOcOwkByAmXwGoiikhjMAdq+4abLWenZu97S3fR6McRjGnrwNkiSCCm3iHIDdR2AwxAvcqLukOyBQEJMh64Mt0LaE2pnslgW43GLzXcWDEllZvrxQKLIkkYickZ6ennAq3vZ6\\u002f23wm9H4v0VBJ9\\u002fX\\u002fDB9+nS6evVqfvjhh3ezLCzQXGre9q2Nu55+cJHXtOCm1KnDpgCNW4h38qD+ou5gLgnq5gBy3tmcima3BedARqYHmkuGoTvDFEQBkUgCgZaI8xkOSRKRm5+GeExHQ10QsiIiK8cPPWGgsSGU+pysSMhPDnuwh\\u002fiBUILtW+vbjGe2z5ub54eqyWAWB4e9udTWtCAaTaTaWTnn0FwKsrJ9iITjaGoM7amBCZCV7YcoUntIAbHpmnfuaLK9DUra3auabMpxnnkoGEMoFLOpoiwOn9\\u002fljFZy5oZTIByMIxCIpOiTFVVGdravHQkEIQQtzWHEonp7AgpKQGMmmgYXIjQgBzA5Mj\\u002fZbkfZldbNlxCCeMI0rr\\u002fpuNrjT+pUmIhbMcM0hl1\\u002f\\u002faiFB7KYfiv4LQr6AWHy5PLLZVl+VVEFsnjutp2VE5fnq6qscO5YdQQguoVojzQ0ntcVYBx5b2yE2BgDRHthJVtWDcPE5Ff\\u002fgDPPPsYmguR27\\u002fp7Mz7H7296GYosIhyK4ahju+PjBfdhzqxVGH7Bw+g\\u002foBfe\\u002feReLJq\\u002fFiOvfByiSBEJJ3D8iT3x0bwS7P6aHrn\\u002fLTz64FvQHNIKwzDx+nt\\u002fxaDT+7b73JxZX2PkFY8CDm9aMBjFFVedipcrbsN7b32OG657GppLtptMCMAZh6rKmDn3X+jUJROyQyFl6BZeef4j3H\\u002fv61BVW7PHYjre++SfGHDyEYjFdFBKoSginnn8vyi+eyoyMjyorwvi8efH4YabhiEWSwAc0FwKXp86D7fe8AJ8PhdCoRiGDjsar751l501a6Ppf\\u002f+7l1AxaRbSMzyt7bAc4CJF7WU9YBS6kf7JDni\\u002fqgNXWsdXJUcknX52161XXtc3h5mipuux+zZv3jShV6+TPIFA+DtNdlUNElmW2ciRI6O\\u002flYj8byIYl0yRvPTSS5KiuCoVRTkxEU8wxiHu2\\u002foiIIQTzomp64ZkmZz0P7mg0\\u002fZtwZrZH31bqGkSTfGUySJcm1pAPuBouKQHwr3TkTEnCiah\\u002feE54HbbBIPvzfgcaeluDBrS1x4o0cbKoMRmcZFlCRw2Z7mqSpDl9uax3d\\u002fO0VgfwOyPVyI9y4th5x6LwUP74unH3gVjjovAYWtyzvH+O8sQaIng8qJTcPoZ\\u002feD2aAgGozZrDG+l05Lkvb96DsDjs2mu3p6+CJRSXHDpibj48gF4\\u002fOG3YRhmqjf8049WIhLWMXTYUWhpjmDme8uweuVWSA6DqqyIWL5sEz6ZmY2Bpx0BURQx638r8fmi9W3YXmzaKEEUsHN7I2b9byVkRQQlwOZv6yArbUZCEQKqW4h088EosIXc91W9o8lTH+HxmEV6Hp5We9EVvTNMHZpl6gDIDd2797rBspqI2\\u002f2dq4nJshumyapffnnKJQBqfk1MMvvCb0LQk0hPTyexWKK7oig9OLfaMKXuGwQEjLMEAE5AaNHIfu7mxmj111\\u002fVdZJkhy+Nc3BVgGtTAFnvbUbLwDwYmSrEoG5HiB0kFyRjHH\\u002f7Y7kzUuhY7NjR2Gpmtzm3ZTEYhgXDsPZKbZScFLpq5VZcPeohnNj3SJx93nHQDcOhqW49L3UmqRTfPRVfr9uKoWcdBUn2p6al7I59ujcO6UOwJYobrnsaLk3FwNN6O7GC1EcgSSIeLJmO3n06Yenqx7F9az2uGf4IfG4XVE2GaTK43Sqmln+G\\u002f76zDJ99\\u002fhC8PhW3jXsBO3c2ISPDDc7tVtokv9769dW475+vwp\\u002fmsUcyBaKpeWzJEzOZItw3A+mzd8D3ZV27QZSOX06yc7XG62\\u002frb6mqqBomi4sSIYBQsB98A5xzEEmSYZox0TTF34x8\\u002fGZuJAnGEANhbNVXNdtWr6iPKKogMbavVW2nHTixs7OMwyGAhCCIhCeLbOwD2yWlro0tIIYFPVuD2KIDe49nISfXj7q6AKa\\u002fOh+iJDikic45HS73fkd3xWsz\\u002foK0DI9DY8XR1mVOziA7+phueH3qPcjM8gJAOyEHbH80Oc3kg9kTEI8byHV8e1Hce2IlSYMsCBQWZ+C7SQARCLKyfFA1BYKw92i\\u002f16OlZsSLIkW61wNJEVOc85xzuFwK0tLdqYi8P82NlpZIu0AidTjqhp55FNZXv5z6\\u002fR9uegVlr3yM9AwvLGbXLCQK3PCsaYR7fcveps1yAERWROPd6esiibgZTW3239P+TghgJhjrfni6ftZ5h\\u002fVljCckyfw+PfGrwW9Q0BkVJUrXrWnMmP3xlm4et3xA5A6cA1QgkKS9hC84wBQR6o6wXdyRDMi17QB1llNzUxiGYaFbj1zE4zpiUT31GULscURp6W4MGXbUbqwxpN3nLIshI8uL8y7qD0ra0yi1fhAp12DH9gbk5qdBECiWf7kZibi+VzZVwzARCEeh6wZkWbJNZEdqkrROzU1haC4TlrX355ekzko+N8tiENmeVklbuimbcms36XT+f9PGXXjztYV2HIAAa77eBkWVW6meRQqpMQ5lF2tnrrc+e5t+r7Y6krdzWyjvQLjhncIaJAyrZtj5h1GA099SCOs3J+gAAA7IMmWaJpiKRgVm7Z3IH7AXXrInve33qUAJ2e2Xyc9ykdrVbLuvA0JSEz5OHtQb51xwHEaNOwuzP1mJB+99HYJC7WpY055Zvmj+Nxhd9DiO7d8Dr7\\u002fzV\\u002fssbYTdMi0QQrBg7hpcfcl\\u002f0H9AL8yYeY+96NuZ7vbccdOw8LuRz8CX5sasxQ9i9cqtaGmJwutrz0prmhayc\\u002fy44MIT4PW5sGbVNmzbUgdRFFLPSXTGRMmyBFWV0NIU3vuj5vbxvo87zjKZfd97AeMcpmmhblcLZn28Al5n+GJdbWAPumli2s1BlFLQZBPL7i9CBFfUfZhaba8dPDXjPBlQVWT6q\\u002fbF94XfpqADDrc6UnRRhmGhpTnShoiRp4gaKW1fFsoYR0tzqJ2tRwhSs8P2RdFkWQw11c0QRQHPT74l9fumhiCSfJScc4iOILk9CurrAoiE4xAlAWlprVEizjkEh27a53chEo6nxiunZewZTUpP90CUBOTkpWH+3DX4atkmjBgzBNPKP8OyJRtSk0uTtMcDTz0C09+7GwDw4IQq\\u002fPtfbyAjywddN1BfF0TvPp1QMf1PqeOHw\\u002fE9C2e4bbKLooD0DM8+\\u002fV9CCDKyvPD61D1cAM4BRbWv6eTTemPmnJLUv\\u002f3p1kmY9OJHtulutWZBACDYEoVhmqlg5O6n3PuVtPlXx3LztdkEHZKa3yR+s4KehEMdhLz8dBTdOQiCQFJBrmgkgTdfX4jGhgBEJ+5imhb8aS786e5L7QELnKdM6PKJs1BX2wxRFNtpmaR2FUWK+\\u002f\\u002f5GlYt3wJREmCZDIQC327YBcHJGcuKhJqaZhTfPRXVO5vg8WrYVdOCe\\u002f86FdU7G1Oki4oioXpHE\\u002f54yyuo2xWA26Nix7YG\\u002fOWOUjTUB\\u002fcoyHnkgTeRm5+G7dsa4HIr+PPvJ+OY47ojGtVt9liLQ1ElfLV0E4rvnupsYrZfv3jBOmiaAjgFOrff+BLOPv+41mdICRrqArCcQqDkvQuSgNpd9r00NoQgSMJuzyX5nOOY8LepkGQBLc0RCELr52RFwIa1O1PX1HYv+eLzDdA0pU1uHam6gRtvORs9D89HLJoAJfQAK1s4RFFAQ0MILz3zoRPH+O2Y6XvDb+Lukum1qqoqORSKfZKdkzZo6qRlLZ\\u002fO3Oz1+hQhFIii\\u002f4BemDn3X+2+F4vpOH\\u002foBKxZtc0ZIWRXhXXpmo0lXz+2x3mGnfoPrFq+FYoq7TVqnRxwEI0k2v1OlIQU26sdGWYIh+KOVldhmhYi4TgEkaaCdkla5WAwamt1nwumaSEUjEGS7O+1RTgUg2Fa8PlckCQB0aiOaCwBt6ZAdcYjEQLouoVYNJFqBAMATZNSvrC9MRrQdbNNvbgdGHS5lD3umTH7XqhA4dntmtq8H4TDcTv96Gmv1Qmxra1oJHlNrc\\u002fV5VbsFGTb1CQliEV1nHPB8aiYfudez7e\\u002fqK8L4Oiet6XSmnrCwpFHZ++86Q8nFUaj8R2GQU7+3e9G7uhIr\\u002f2KwJg9kSU5hic5YpnvxVbjnCMWSUB2BNoWYKtd1da+4jyKIu1B4czbpJAAQBBsU5fDHt8rSgIys3ywh0W0fk6SROQ6s80si0GSRWTn+u25b20+xzmHP83tWB72dXo8KnzOTPPkPQCAqkpwudpfX3IiS\\u002fIzmia3uwcOpy18L8+KCiIys3xIxjD2DoKMDE\\u002fKn9\\u002f9GdrPbO+bSNvrSsLlVvDWGwuRPt6LR5+9vh2rbruLJnv5O1rnrYdDsX1c728P\\u002f28EHUCbphAnmPMd\\u002fdjJoQHJhdZ2kScSRmuxyoGCA4oqOsKVjPaaiDP9Bx9PVpLHY86wBBOJuLHfs8vaHc4xt2VZbHfPsbixr9DE98MxucU2Ne6GYbbWwB+I3U3szcrj1rB0yXoEA1FkZnn3uiHs8xCEO2vh\\u002f09P1\\u002f8rQT8YIAC6dstx8t4HJuy2ZiTYtrUelNrRbcOwUFCYAVWV7LHNB3o8SlC9owmmaUGWRei6iZzcNHg8KnTDdCLT+3s8DoFSRCIJ1FQ3w+VSUpbD4UcW2p\\u002fhBzDmps11CgJFc1MYTY1hEAJk5\\u002fiRlm7PXD+AJBgY59hV04RYzICqSnu3rJKFScnqVX7gY69\\u002fa+gQ9AMAoQQxXceppx+Jf953FaJRWwvv7\\u002fphnEEQBMyYvhDFf50GRZVgGha69czFsxNvSoV891fYmaN95322Gn++bXKqgy0zy4tXKm6Hy6OkRkPtD+xyXIpwKIZ7\\u002fzoVH7yzDOmZHoRCMZx2eh\\u002f8476r7HHHB2gpWBaHooh44ekP8XDJdKiqhOvHn40xvzsDRsKyO9T2A8n4wSVn34+mhvbpvqRGNw0Lf\\u002ftTOTasq065A9FoAudeeDx+d+u5SI5w4pzs1zip3wo6BP0AwJkdDX+1Yg5OPOkwXD1y8A86zk23nw9RFFF891RoLgVzPlmFqaWzcdffL\\u002f9Bx7vy6lPh9Wq4Y\\u002fzLiMV0LP\\u002fyWzz\\u002f1Pt45Onrf5D5npuXhhfLb8X40c9i1kcr4HYrKHvlUxx9XHdc8wPvGbD7AJKBNY9Xhd\\u002f\\u002fnUXne4VpWXa57z7sfc45Fs3\\u002fBl98tQFuxU6dBRNR9Do8f486Cv\\u002f3TL39LaFD0A8QIqUwLYbHH56Bs849FhmZ7f1DzuwhgbuLl621WlNi424+G2u\\u002f3o6yiZ\\u002fA49HwxMPvYMiZR6H\\u002fgF6wLNZumCBjex4vOd6IwG5hPeeC4zH6xrPw75LpyMrx4aXnPsRZ5xyLcy48HqZpQRCE1PF2D0AmXQr7mHZWwOvV8MTz43D+0BLU7GwCIcB9\\u002f3gVl1xxUipDkTQUGOOpDri9IdlS27Zgxu5Tt\\u002fvZkyWwyWmobZE8Nod9vuTMuu+Cx6vB73LD7dHAOIPLlLFk4TrcNPY5pJoSKRANJ1Kpvh8SHvk1oUPQDxCcIzXV09BNpx4dreYsJfsqf08hOZo5J9cP02QQRQG6biIQiKYYXVrNYwLhew5IuB0s9Pm0lDnPAASDsb0e7\\u002fsuMBmEdLkU+LwubDfroapyqnx196GSgvDdx0wG4DStVaNrLsX+vfjdF7P7sUVR+F4rhVmtU23tOAqwacMurPl6e7vPUULgcu8Z7f8t4jcl6B6Ph4TD8R+8N++rTHZ3tHZNkna\\u002fIwTYsK4adbWBFHNMEr37dII\\u002fzZ36XTLnbheB8FTBTevxbIHasa0B27bWtysFZZyjZ6985OT6W1s9KUlpzLYFPK0HBECAxoYQNqyrbqWrc64jLz8dPQ\\u002fLb3d9lsVSbDnJDrm2mi95np07GrHl27o97jmJZDpr04YaiJJdZrvhm51YsnCdYwkQyLKAo47tvgfrza6aZny7cZdjkdi99wmb9us735G9GRNnUwVkWUz10re9\\u002frZpyt3BOfvNhOV\\u002fK4JOqqqqaDgcNjnne3ISfd+XHQHXdQstgUiK1eVAwJhtnv7rH69hyhufIlP2wTBbu7hmzPw7zjz72Ha17LtvFG1lxLJsTV8+8VPce99UpElumJbNMhO3DLz4yi0YPe7Mdgv1u47HmG0iz531Na676nHIArW79UQBjXoLxo++AC+W3QrLZCkqKELIbg07be+YpyoMp5XPwV\\u002f+MQmZsh\\u002fGXurZkxk0VZHg8diluC89+yGefuw9UEJgWBbyctOwaOWjyM7xOwEzOzD4zhuLcfPvn0e65IHpROh9fpdTD7FvP705GgYVBChOP7tdi3BAzU3MskjcmcNGYBNQ\\u002f2rxqxb05LysJGXvpElV2QAynWjq9+7GhNi+rp4wYBgmMjK8GDV2KK4dNaQN4cGBGQgej4Z0yYv0DI9NxWRfJyTphz1qzSUjQ\\u002fPC73OlSlATugFlLxxu+wNZFpGR5oEkUSe3LcBssOD2\\u002fHAT1uVSkKWkITPL22pVJP+xTQmexXiqhdXlUuB2q07e30Jaunuv2QFVk5GhepHmd7fplNubwNpWhygJePCx0Zg+bT4++3QVNqyrhiQLUBQJkiS2NjHtA9SpmSCEuBWFHV5UVDQfAFqHd\\u002f46By\\u002f+KgU9+dAdAbfKy8szAWkkY4lbRFE+TBS5wTkxvi\\u002fxZVkc8aiOzl2zcfV1g3DF1afi8N6FP+raGGOwzFYfEUBKo\\u002fwQcG4H+NoeIzlf\\u002fIcdjzvBvqTpTWCZe7aOHghiUR0NiQBoky20hBKHzZrYZI7EJvgQRJpyjZhzD0kXYV+pLg7s8Tzbmu2trkarRXPiwMNw4sDDUFPdhFn\\u002fW4lXK+Zg5fItaGwI2ew5ooikRdIOBDBMRiQZEUqVzFjMeLusrPJNQHh6zJhrVwPtBP5XNYzxVyXou89ALy0tzSNEvJ4xMt7n07qAMARaorVvvb7RWPHFLo+iCgKzbLXcVlu0LQf95\\u002f1XY+CpRyAj0yZ1SL78A80VHyrouoFwIg4xLNjkC04uOWkt\\u002fHwgSNKp9TmqM0ZcMRSqIiGhmzB0E4ZhR9UN3YRhWrBMC40NITQ2BA+oIu273kIy0Ji0dNplAThHfkEGRowZghFjhmDe7NV4b8YSfPjfL1G9ozHVV5DManAOLkkC2bKpOaP8xa+ahpzTPVDQyZevqZ7fNTUFri8rmzIVwOQxY66bmzx9VVWV8GvR8L8KQU\\u002fOqyaEMABWRUVFd86F67jFbvH6vXmcG2ioa2lYsmBneP7sLenNjfFsWREpFQBKKaHUrlXfHR6vhvMvPgHAL0\\u002fAk9cxaGg\\u002fPCCPhNujQhIFCJIAUaA4ZVCf1Od+jDb+cddoC+z5F5+Qeo6ccVgOmytzavJNw674e\\u002fHpD3H\\u002fva+3M\\u002fG\\u002fD9\\u002fFKW+XIvM2VkJS49vdaIzxFBvFoKF9MWhoX\\u002fzx7kvx5msL8eZrC7BqxRYQQqC5FAgCJU4qT10yf2fBimW1kWP6524fck4PqUu3tHRZ1kYHAsFry8qmvEsIeWb06BFzkkJeVVUlOPTRv1gN\\u002f4sXdKczzQKAioqK7ozR2zin1\\u002fn97hzDTKCxIbBr\\u002fqwtxpIFO11N9dFusiLC5ZbAOeeEUBKJxBGN6cjJ9adyyW31hG3GEodzzV6YBOQHFZocTCSF6LTBfXDa4D77\\u002fBw54GLxQwtCCUS695SZ5pIP2IXZm5wzxiHLIqp3NOKGEU\\u002fjsisH4rKiU+BPswtgWjV863tM\\u002fi6\\u002fIAO33Xkhxo4fhv998BWmls7C4oXrEQpG4HLbKT\\u002fNJXLG4F6yoNq9\\u002fIva4HEn5jafcV4vM7\\u002fQkyfL6hXhUOyK8vIp\\u002fxMEPL9hw4b3fg1a\\u002fRcv6IQQXlZWdrQoKmMty7zB5dK8hqlj586GumULq+PzZ231t7TEc2RJpI6AO0UhIOFoFEcd0w0jrx+Kq0YMSglzWy2RzBkno82tfd57X2Q\\u002fNfYomGmTFvtBTTCHAElTOQnS\\u002fj9OBoEeUNQ7dazvuEfGOBbMWYOFc9fiuSffR9G1p+HCywbgyL6dU5+xTJZqUAJan6fbreCy4QNx6ZUnYdG8b1AxeRbmfPo1AoEIJMnmCFNdFJzBt3jeTt\\u002fypTWx\\u002fid3qhkyrKuSmePJ0BTtbMMwzu7Z84g5ZWWVT7lcysdFRUVhtCYZflH4JecJCQCUlVX8VRSVLz0ezx84J17T1OMb1zXsfOL+heZb09Z2icctv9stU0EEt01YAsvicHtVPP3SeMxa\\u002fCBuuOlseLzOGPTdFk6yAEQQKaLRhM3B\\u002fruXEI\\u002fbHG8\\u002fNIh2MEEIktEmp\\u002fiF7nEfyRrunwPJBp3kD3UKipKWUpLY4YfsS98XUPX6NLg9CnbuaMT9976Oy859ALeNexFLFq6HYVjO5t02aEdSm7tpMnAOnDL4SLxYditef\\u002fev6NuvC3TdZq5xxmNzl1sEoVSb8\\u002fG2Lg\\u002feM48uW7ijxrL0sGGYpqoqp2dkZLwVi+mTXnnllQxH0fwyduA2+MVqdEJsFlZJEiZZlhUOhUI3qarSjzGmdu2eljH2lv6BuR9vqV751a5MQ4ciK4LzFU4oJYhG45j18UrkFaTjzLOPsQ+6l2wZpQTNTWG8\\u002fcYivF45D0sWrUdh58wD6vo6lNgfzZ38zL4YXw8ZnOe5dXMdNm+uhc+rQVIkqIoERZWgKPaPKAnweFS7yu0gIxmJlyS7Lz4UjOHVijl46\\u002fWFOHnQkSi69jRcdNkAuJw6+9aqPgLRGR8dDMbw9huLMKNqITasr0kV\\u002fhACTggheoLBNE3WvVd63eCzuvJ+x+a5GSMel6YhHo\\u002ftjESiLwuCUrljx4YW5\\u002fg\\u002fv3bYDb9YQXd2YD5ixIgGAM898UTp1MxMch3n1u\\u002fdbvdhR\\u002fTRtJ6HZYS2bGqq\\u002fei9TdKar+v9FMQlydROqTJO3np9Ad5\\u002fZymGnnUU\\u002fvCXS3DSKUe0e9mGYeGZx95D5aRZ2LatHqIgwOVW4PFoP+etA2itJlu2ZAMWzv8GBECgJYohZx2F007v0y54uPyLTXjkgRmo3tEIj1f9ibqyOCwnEPbuW0tw791TkZuXlioRFp1UGqX2n7IiItgShc\\u002fvgmUdgEu7nzNPbQ1tc+p5\\u002fS5wxjHn01WYO+trPPGfd3D3P6\\u002fEpcMHpp4r53ZX2yvPzcTrU+dh\\u002fTc7QQC43GpKwA2DE8MwrIJCT2DIOT1Cxw\\u002fI97k9ajqBhEgkWmOy+CRK+PNjx478v\\u002fbOPDyu8r733\\u002fd9zzqrRtJo925jg1nCFpI0BMhiEiABkqA2BWInJSVpQp8nvU9vmydtZLVN6JOb26S3y72GECAOub12QgMEEkiCXbJhvOIFsLxKlmVLM9Jo9rO+7\\u002f3jnCONZMlgwGCPz+d5jGwxc+bMnPme97e\\u002fx17vp\\u002fhWccYKvQbS09PDvvzlz4wD+Nf777\\u002f\\u002fh0KIO4XAPZFIdNHiZa3x+Ysbx1\\u002fZlRl7+qkD4wf3jjVTQhRZoWhIeVNNHn9sE4YGx\\u002fDspq+DMeZPmKEo5Mv4fz\\u002f4NQ4fHkFjYwycCxiGfdKyyFM68emO9SngnSPDz3+6Db3\\u002f8EM0RhIYr5SwfetBvPeaC3xz1Htsa1sKO3ccwvCxccQS2qydXacPAsHFRFptshXU993FZEttsJHFa+XVLKup1o4fn\\u002fFjAfGEDkIIdu\\u002fqx7O\\u002ffBG33PYuAJM30f19Q\\u002fibv1qLeDSCuO\\u002faefEaEMu27da2eO7a6+cbV767S4tE1XkEDMVCcYxS8\\u002f84DnngT\\u002f7k9oNAGHV\\u002fsxC9vb1OTQ59DMA\\u002fP\\u002fXUUw8OD499njF6l67rSy58R3vDkguaii\\u002fvGhl55okDyuBAvlGSmEQpQUzXoEcUPxUzeWBCCKIxFaoq+xVTb\\u002fxkGaNgkuefOq7fzcZff8GMokhIqlHE4xo0TcaL2w9i14v9uOiSeRDc29utc04TbrrlStz3b0+\\u002fqk97OjBNGwVegVqSvakxAOAXsHh\\u002ff33+OfznzoYQ3niwwGoIYgXB5x10AeqaMrkZZA2UUiQT0YnxYl6VnkCqUcu89\\u002f1LjXdd3aXF4upcShSUy+UM5\\u002fzBaFT7X93d3UeBKQIPo+5vFv7d0g0Ef8MNNxQAfPP+++9\\u002fGMBnXcf9YiQa6bz40s74hZe25R\\u002f+922VrS8ci0VjCg1yujPxRkQ4E\\u002fnxMnJ2CVpZBiEUksKgqmzK5oGnglPTicUYwchwHs88tQ0XXTLPH4vqPe7Gm6\\u002fEDx7c6M2WmyW99eZCENS9fGDFxfi29DmAeAM3jaoF07RRLBgolaoolwwUC1UcGxrzpsUy8ppvqrPJXAgvxdbR2QTTtFEqGTANC\\u002fl8BbqmQKppsJloo50BLyMQDK3g6JyXGPv8l6+Q4nFtDmMq8vniuCzbazi371+1atUBYLKu42xIqwWcNUIPCAQP36T\\u002f3Oc+Nwzg3kceeeT+arX8Re7Se1JNkaZUc6Tgum9dHDoocLnjM9fiD953PtItSd\\u002ff1xBL6Fh6fpf\\u002fOHpqBS5CTIjZdb3W0ccffQH3\\u002fLePTux2CgDvufp8LD2\\u002fCy\\u002ftGph1A8U3m8BsvvSKRbj0ikWv+vh\\u002f+\\u002faT+MpfPIzmdOLVC2Zm6BAM8CbB2liytAPrnvhrOLaLI0eyyI2WMHgki3\\u002f\\u002fzpM4NpSbdf\\u002f32eBcIJnSqrG41lkqWRZj1gOM8e\\u002fceeedfcDZtYJP56wTeg2it7fXqak9zgLo\\u002fd4Da9\\u002fFGLvesbl7OgPngQ8aEHwhP\\u002fLRK97U15k+7VVVZOzfO4TfPvcSrv3AxRM144wxfPTWd2LrC\\u002fuQSE76mxN\\u002fMFkzf7L3M6WmfobHzvT0yeec+IEHgywYo68vSDjbNSSTvnZbRwptHZMdhz\\u002f43gbsfWUQDQ3xU3YZXIdDcIAQZAxD\\u002fcrdd3fnN2zYIG3cuJGfTSv4dM7kPPprore3l3d3d3MhBNmwYYNEAE4IebWM1BuidvjE9C++63pbD9U2YvBgK6dpYpr+3MCf55zXDE8QU4JrlBFUKiZ++p8vTExQJX6O+vobL0VLWwMsy\\u002fs+Mub1fssyA\\u002fMHNszmQjBG\\u002fMdKE3n6mR4b5KSDfdeCYRQn3CiEdwOafN+vrybhtVzIIOLuuhyWaePdVy\\u002fD5VcuQaoxClX11rJTucn41YaCMauhp6eHbty4kYdz3c8Q\\u002fCS6+9DBH5zW1xEAJImgWKyiWjVBCGq+6EHsyPdBa4o0vJ\\u002fe\\u002fwvyydOHXGi64heZTF4WWWZT\\u002fEshBDRdwXPP7sHxoRzaOlKwTAfc4li0pB3vuHQhfr1xDyRCUSxWUCxUUa1aoL47P5otnjA8ghKCctlENlOAY7tQVAmEEBTylWkWRU2B0SnkxANfXlGkk+YDgvFSE58deW03h6AIJvj59W99Go7jwjRtZIYLOHxoGAl\\u002fPlwwROO1wLlwe3t7eU9Pz1m\\u002fINaN0E8Hk6vUpAktuICsyTh+LIevr16HNQ9\\u002faUKwgZBPhm27MA0bruuiXJ7cz4xSgs2b9qFUMjByfBylYhWVioVf\\u002f9eeKdsSBXXex46N4VO3fBOxRASmYU2UyR4\\u002fPg5ZYZAkHd\\u002f55mP43ppfwPEbergQ3o4wNSku13URT0Sw4Re7cPOKv\\u002fesFX\\u002f2PRccx4dyUBRP+IZh4ZM33AtVkydmv+u6F9HWdAW6piAS8+IS0ZiGeFxHJKIiElWRbklicCALSaIzCo0QguZ04gQrYvpUmOlMBlqnljZL\\u002fr510YUa5i9sqXmdmd2PeicU+gwI4a0uiipNNJeoqjwRcAtqpX\\u002f0w99g4aI2\\u002fOVXP47xXBm50RLGx73Z5eO5EkZHSyjkKygWKigWDZQKVRSLVZSKVZSKBjIj44j5WzIxRnHv6vWTZj78yLIsQdWm7\\u002fXm5aT37BrwmjX8QZEQ8EXOQCWCY0M5DB7JnlDbP11MlBGUS1WM5\\u002fwRysFLEUyIHPBucls376\\u002fpj58szw1eIZhKMz21Fqy28bh+ghkd7Jry9a+tQ2t7A5INESTiETS3JPwxUjMvqJR6M9+CTTkCtyc4j+C+G\\u002fTdnymdiW8H55TQA9Mz8CtnK4xhjEzsbRakhkZHi94cdxo0vQjE4jr+93eewuM\\u002f3gTTsmFUbVimDcOwYZo2TMOCCwEGv+47yPX6deBMYlO+fIofLZ9uWs8WFItEVd8Urf39pAg9kUonPO+E44mZbwDAidswxWL6jAEuMfGfKX+ZeM3g9ye8tF+pWK1a+Na9j4IQAlWVJ2e8EW\\u002fPt5luDtWKhd07+zFvXgsSyQj0iAJ6ktRikGbjQgCY2bKoV84ZoQerT60PHIvr00TlrZTj42X8+Z+uwXiujGy2gLFsEaPZIgzDnjIAMSilPHjguHdcQkH8Ro5oVJ2otgqOHZxH8IWf\\u002fkWb+phXJzBZZ3\\u002fPr73R5bUGy96sqsHpEEKQTichICaCkqbpAOTE6jjOvdFcg0ey+ONbv4V0SwLNae9PS1sDurqa0DmnCZ1dzZi3II1UY2zSIquZ0steZ23D2cg5IXQhMOEbDg5kMXhkFMeP5bB7Zz9GhvP+hFXvsZ4ZaeCh7\\u002f4KjFLf16MT00tr4X60W9P8qquJBsUgen6GZWOmN1CeYQ2Vtbl1QgAq+XvR+4G5CQe7JsduGhYOHRjGvr1DcGwX3Hd3ZEWCokhQFIbGpgQWn9eOxee1Y9GSdsyZ24y589MojJfPmFbf003dC527HKou49CBYXzsg\\u002f+A0WwBmZECxsaKIIQgEdcn2hYDKCVo9nc3nXUF5gLMdgFCwGU\\u002fGOdwCJm+ntL2N8aUmvpaO37qT8IFhO9DAwBx\\u002fcRdze9OPHf\\u002fmG\\u002flDcHPEBDLBSiBYATE4t75yhSiJuJPKYWmUYAoE7PpgmpHzgWqVRsD\\u002fRkc3H8cTz2+BY7rIhrV0NrWAD2i1Haq1TV1L3QAkBhFqVTFlhf2QZYYJFnyhAxv4MRMzFq5RTyBuLqEwpVNcFIquG8SRl\\u002fJIbJ\\u002fHAA8wQNviUCIKwBXgAhAeHGpCUdfUAIhUQiJQMgUtOqCOByggBNXQLgAsTmI4wnJe1Lw038BX2xvCYSAuBzEETDbIyhc0gyhMhCLgxoOYi+NQRk1vPMRmHIznuFQfv27BNVPGQYz5jIj+YkMxrnAOfEugwIXr\\u002f1UTETVX9\\u002fBPPFQm0MZLsPoiMJckAAYQXV+HJGDDYhvHYF6vOJ9GSU6sXniGybQGq\\u002f9u3fTcWMK3JgEu0GFnVDAIzLcqASuMYgggKhKaPrFAKJ9OVhNOoZvXuCdn+ul5ojlgpUdsIoDVrIh5wxIRQusbIOV\\u002fHH5Qdto8Ppv1o3MN8up6cJJKChe3ITihU0QMRmQCNhIFcmtGUhl23s\\u002fpxB7mAwCBnUNXv96UANxLlC3QvcHskzgmd5vYiCJC0QOFqAfKqK6KIH85S2wOmOoLEuhOjeG2O4xxHdkIBUsCIW9cX+YEG\\u002fV5QKuxkBtDkEI8le1orIsBUeTAZ1N+rATZruYOF\\u002foMlydAa6AkAncBnWqaAmBjZp\\u002fUwJYHKxiQzlWQeOvh8BKFoREQSyvTlTI9I0lpgM3wnIhZIrixU0oXNYCp1kFQMDGTSS2ZxHbPQpadcBVetKOttfCVPHXnMoMgb96oe6ELiAECGBbHLbFKY0RcD5LIfYbhKv+nmIHClAHyygvb0TxkmY4KRXFK1tRXZxEfFsGsZdzoJYLrrxOc14IUNuFndJQXtKA8rIUIgfySP1mCJEDBVQWJwGVgVScidV7OoQLCM4nXIogroApc9zEic+RKbjGoPcXIOVNVOfFUbiqFepgGZF941CyVXCJejeFU4UAxPFKCqvz4yhc3gpzThRgFKTiINqXQ2JrBnLOAJcpuC6dtmoXb0srwDSciYiGoqh1s9zXndAJJaptuvyqq+dUDh8eN48cyqcVRWKMnQYzLXBlFQbiCiS2jkA\\u002fUEDhsjTKyxrgNOnIXdeFynkNSGzJQD9cAIiAkE5B8MLz98evaEHpwma4CQVwOQpXtgAcaHzuKFp+cgjZG+bB6ogBhjOj6IRvUXBV8gKIWs2ln0mjwntftGqj+ZkBRPaOo7owgdEPz4Mbk2HMTaB4cROir4wjuWUE1Jz9JnMCns0MYnPYTToKl7egsiQJoUmAzaH155HcPAL1SBGQqHeu\\u002fujmN5ugmrFSdtDYrI1es2KBJTzTTzPNV90v86yhXuwUEkTE16595F8jkeifudyB4zijzz1zsPzMkwcTlbLVoGoSACHEibsQv0ln4QeSXAGjPYrCO1tQnZcAFAqYLiL7vS+wkq16wTH62szezI3zYSxNAWV7auRcpkg8fxyp3xyDk1QwumIujPlxwHRPNG+FAFQJsS0jaHr2CEoXNWH0+rmALU78FggACgXLW2h6uh+RQ0VUFicx+uG5cCMSYPkuECWAysCyVbQ+dshzU6ST+M\\u002f+zYbaLlxdRvGSZhQvbgKPK15V30gViW0jiOzNTVgTE+dzGqCUwDQ5KBXVd109J3fDrUtpPK62MaaiXC79ilLx8TvuuKMITLRHn7XUi9ABAEIIct999+maFr0dwN9GI9E5XFjOyHB5+Kc\\u002feoVs33q8kVGqyfIb2vRABBqa8YYR+Jw2ByhBeUkDCpelYbdGAEpAizZiu0cRf9ELLHGZnbwAWwgYc+LIXd0Bp1nzRBZ4IgSARJH83TE0\\u002fP443JiM7IfmwFjcABju1N5EIQCVIbprFM0\\u002fH0DhsjRy13UBNp\\u002f6LRAAZAppzEDzz\\u002fuhHS2jsiiJ7EfmeiurUxMJlCiIyxHfMoLE9gzIbJ9pzWcimP+ZXN4CJx0BKEALJuI7xxDblQUrOxAKnTWmQUhNEd7rvGFTSuC6gGnY7ryFDdlb\\u002f+gCc8myxhbGVK1cruYIEd82zep37rrrriLOuGqD10ddCb2WtWvXdnFO\\u002foZzcXciEQPnVuHFbcdyP\\u002fmPVyIjx0tNqiZTr+Ft6mdwYiyGTGgK8PY29\\u002f4ISJK3LdGMGp2+el3YiNLFzX4ATEDKeFHkSN+4l3+fzX8nBNRw4CQVjL+7HeWlKUD2gmTgwhMzo0htGERiRxauJmHsg3NQWdoAWDUru79K6\\u002fvG0fLEIYxf1Yb8H7R7x6mNoMsUcqaK9FOHIWerMLviyNw031vJg5sCo4BEII9U0fDbY4jsy3v+80x6oF4QEa6A2RVD\\u002fooWGPPiXrTfcBHryyG+PQMlU\\u002fXiBrNYOYGJ7fgWCKMEhE59e9OfNz3rFtTlG1UXsag8\\u002foGbFhavfv\\u002f8SDSqN5mGA9d1fiKE87ef\\u002fvSnd0+9imc\\u002f9Sh0sm7dupr92dZ+gBByr67rV1ImUC4ZI8\\u002f8tM967hcDScfhcVVjgcsIwb0Or6AeOmiXnCiWIYLrulKIxZVqJCbbI0OlZtPkEVVjmNUl8A9ObQ67SUP+0jQqS1MQEQmwBbSBIhJbh6ENlLx8tVTzRRcAKIExJwZtoAhquKguSqJ4cROqc+OAwrwVVggQVyD900PQ+0twNYbMDfNgzk9MCtkXsXqkhLYf7cfYNZ0oXp6eKnRKwIoWWh47CGXUhJOQMfKxhbCbNcARgOwF3aScgehLY4i\\u002fmIVUslFZ1AA5WwUznUlzhxCA+0HERg2FS9MoLUsBEc8q0AbKSGwZhnak6C3T0qxujKCUENvi4II7HV3x447NabFgKZWKneCuUCb2XSPB5o7wSpEJ8UuSvd9ZpoDLuXnRpS1jN39ymdvWFe8gUGmlUn6ZEPKNO+\\u002f84x8AZ8ewx1OlHoUOwNv1EvAGU6xZsyaiqvo9guO\\u002fxxPxRs4ts\\u002f\\u002fQ+Mhj61+R+vZkG13XlRVFqioqcxWVUlmSpHhSttKtsUxjc8RMNmosHpPjqiY1xuKKFY2rZjyuOoMDef7ko3vJ3pdGmxijqiyTmevLgy+hv7IZc2IoXNkKY07MM3+rDqJ944hvzUAeq\\u002fqmq1f5Qi0XlYVJlJY1oPE3xyBnqnAjEsyOKCrnpVCdF4cblYCIBDZSRduPD4AVLNhNKkZuXQQ3Ik9G1iUCecRA+3\\u002fsxegH56B8YdNUoROC5p\\u002f3I7JvHIIRjH5oLiqXNAOWC2JxSGMGYntziBzIQ85UwSMSxq7ugJIxENs96p2371VQk4PrEooXNaF4URPclG\\u002fJZA0ktmUQ3ZvzTPmTZCIoJeAuYBiO29YRHbvxE0uNCy9platVm5VLtlQqWhGjaperZWssnzet3GiVZYcrDbmc0WRbrm2arm2ZDjFNV+GuYO1d8dxHP7mscsnlbY2KoscL4wWLSezblYr41t13354VQpDVq0F6e8lZPWRiJupW6AE9PT00mA7y0EMPLQLY1yVJ\\u002fkM9osAyzfEXfnfUyo1Vk+2dsZHmdNRINKhM06QkY7TJG0\\u002fMvEktfpHGZPebN4DCss38ji3HCk8+2qcND5WaVU0ijBHB+Qy7dUzkjDkEo6gsbUD+8hY4ad0zR8dNxHaNIr4rC2ryicAWtTgy18+FOT+OhueGENmfB6s6EDKFE5dhdkZhtEZgzksg0jeOxOZhUIcjd3UnCu9s9SLxhAASgVSw0fHQS8jcNB\\u002fVJSnAdLwTkynUwRJaf3IQcAUqixMY\\u002fdBcqMcrUI5XoB4tQTtW9nxoiaA6L47x93UCpovWRw\\u002f48QDvDRJXoLI4icJlLbA6gtiEhdjuMSR2ZMFKtpdqnCU24fnhhBiGg1hMGb92xbziNR9aJMfiWpvreNaVJFFQRiam7Licw3UnJvs4rsuz5ZJZzI2a9NjRYmO1YtP3XDO32tAYbbMtAdM0nwHw9ytX3v4bwFvFz+ZRUa9G3Qsd8IJ0tdstP\\u002fzwDz7uuuIf4vHo+UwSkCQGAgbhT4aplCswTbMKIC+EyANkXAiREQIDhGCQUnJACBIXgn85Ho8vB2yUSkb2uWcHihuePthYKdlJTZMQbCRxwgn5X05ic7hRL\\u002fpcWt4InlQALqAcLaP56QFIRdMrTnEEuEwx\\u002fMnFsNui0PblENs1Cv1ICdRwvYMxCicqQygUrGyD2BzG3BhGPrpw8nUpATVddD7wEkY+tsAz7U2\\u002f4k1laHhuCImtIxCMwk6pIEJAKtigVRvEFeCaZ0mUljeivCwFVnHRuq4PUtGeEm0fu64T5fMbPVPfdBHZl0di6zDUEQNCJhBs5mpB4m+cYJocjKBy2bvacx++eQlNt8ZbGFVYsVgaEALf5NzdTSlZLASdC4i5hPC5hNBGcDSAooEQ0hCLxaAosv9BezcB7lLk8\\u002flBSunf6bryve7ubrcezfSZOCeEHtDT00NXr14tCCHiwQcfbKBU\\u002fkvO8QnO+SCl6AdIPyHiCCFiWAiRpZRmEgkre8stdxVnOt6aNeuSum79mevwv0wkEynHNfjIcHn4mcf321s3HW3hLtFUjc7eLkoIiJ9PtloiXv59cRKIK4hsz6D5mSMTKSZiu7CadYzcstC7IZgc6lAJkQN56IeKYGUb1F+duca8CrqYjKFPnedXr2HCfeh4ZC8y18+D1RX1U2Ve6i39xEFE+vLgGgOtOp64VQYnKsGYl0BlQQLGnLhXgWe6aHniEPTDRb9aDaCGi8I70sitmAs4HOrRklc\\u002fcKimfmAWOVHqBdpsx7EXLWkavenjS9wl56dTkqRG8uNFG0T8CyH8n1atWnV0tmvb1bU0rapOmnOaBkRaCNImhJgrBO8khCyUZbrVtq17P\\u002fvZzx4BACEE9bfirnvOKaEH1Jpp69atU7q7u62TPT6YNBv8e8+ePcKfPFuznTP5CgQ+m0jGmWUbxsF9Y5knf7xX2bd3rEmSmHTSlB4lILYLCHiVZ1e0wlyQQONT\\u002fYjvzILrXt0GMTmqC+IYvWE+OKOA32hCyza0wRLUoTLknAn1eBlwBbguYeiOpRCyXxrrC73lsYPIXdMJqy0yKXRNQvrRA4gcKoDLFFazDqstArNFh9EVA48p3rfFFSBCoPFXg4i+POb72ATEcmE3azj+qfPAyg4SW4YRfSXnuSkn98MF5yBG1UZzS3RsxU2LSle+pzMZiejJatWGZVk\\u002fJcRdvWrVqq3BtQs+\\u002f9rjvJrZPe2as+7ubj7zGdUn56TQAc+cX716NQn898C8T6fTZOPGjVi+fLnYs2ePCCyA2Y4x1SV45N1CiB5FUa5XNQmGYYxv2zRUePrxfdHhY+WUqsuUUsy8mYB\\u002fJajFwRWK0gWNKC1rRONzR6EeL09U0xGLo7owgeyKeRAK9VJzlHgReJ0h+vwwmv7rKMAFjM4oRm5eOOU1iCPQ9KtBjL+zBU6z7qXM4OXYGzYeRWJ7BiAEpeWNGPvIPE8KhuMF9JjX0dL47CDiu0e9EmA\\u002fM8FVhtEVcyEXbCQ2HYdUtMCV2WsEgnSZabjQNFp87\\u002fvnj1+7YoGWaoykOWcol8s7KSW9K1fe8SgwKfCTTGMlPT09ZPXq1Vi\\u002ffj0JriMA3tvb653ltGt+LnHOCr2GN5wrFUKQ7u5uun79+iAG8MeU0q\\u002fomn4hiINS0Rje8MxBa+Mv+pPVip3QTlahV9PFZTdrMFuj0A7lQR2OoG+cWBxGVwxjH5wDp1EDhAArWojvyCK+a9RLa1kuMh+eh8oFjZP5dOIFypK\\u002fP47SxU1wGlQvbQZ4EflMFa0\\u002fPgDqerPNqwsTyL+zDXaL7qXeCiZSG44iciA\\u002fGWH3PgBU5yVALRf6QNFvi52la49AUH+HUg5uXXJZa\\u002fbDNy9B19xkq8Q0ViyWMoD4H4ZR+be77767ci6L880kFPqbSK1J+M\\u002f\\u002fvDaRSrEvA\\u002fhiNBpJc2FZx4eKmZ891ie2PX+skRASUVQKIWYXfNA3zhmdWnVGPFPZSSoYf1cb5IKF6EtjkArWRIFK\\u002fvIWjL+3Y6rYfKHHdo+isrgBbsxPvRF4q67CEHlpDE0bBr3XFl7jTnVhEsacGOLbM1CHK5Mrec1xAb\\u002fyTWbAzIMqBKWEOA5gWY4zd35y7IZbzzOWX5JuUhU9WiiUHUDcbxjuP95998qB6Z\\u002fnG7025zqh0E8Dtf7g2rVrlwLsr7nLV8UTMdiOWXxld6bw1E\\u002f62KH9uWZZYpI0m\\u002f8e2Boz9d75ooXjTUcJBkNwmaJwZSsKl6U9EU9pQwXgCkQOF2B0xryS1imTJQGoDOrhAho3HoWcM7w4gOP55YLR11TLfsKvKYTghBiGIxpS6viKGxcV3n3N\\u002fGgkojabpgvHsX7OufP1lStX1qa6QoG\\u002fiYRCP01M99+\\u002f\\u002f\\u002f0ffoi77lc1Xb9GkglMw8w9\\u002f9vB4jNP7I+NZSqNmi6DUsycf5+NmkIXuBzVRUnk3tsJNyEDpl8IM+1ohAvIYwbslDpzFJx7FXDEBRKbh5HYPlLzYjOu1LOfnp8PN00XisIKV723s7DipsUs1RRpJ5BRKVdfEiD\\u002fuHLlp9YCr8kPD3mdhEI\\u002fzdRW6G3Y0CP19y+6k3Pxt4lEYgEXNvK5ysizTx82fvvs4SbT5FG\\u002fnPbUOzIFYDdqKL6jGZXzGryUms0nhVl7pbk4sZU1eJzkBdzUoTISW0egDZZOeV0N5rjbFofLhblseTp70yfO4wsWp9KUqlp+PF+glH27UHD+5Z57Vo4C9V+w8nYTCv0toqdH0KC08uGHH24CyF8IQe+Jx2NxxzWcwf78yM8fP4Cd2443U0IURaXe\\u002fPFTWUF9v9qYF0fhHWmvZdUfFYVZZuMB8EQvU4ADcqaC+I4soq\\u002fkQG3Xi5yfApQS4bqCmIbDO+ckM9ffvMh6xxXtDaqqxYuFCoTgawmR7l258lMvA6HA3ypCob+FTDfnH3jggQsY075GCfnDWDwC06yW9uwcGfvZT\\u002fr0gUP5RlWVGJNOoaXWN9Vp1fV64jtjKJ\\u002ffAGNuHHZSnfU5rOxAHSojujcH\\u002fWAB1OVetxrwmm80QYmwUXUQT8jj1354YeHqa+dF40m9ybYAw6j+FsDfrVp15zNAfTaOnMmEQn8bmC74hx56aAWlyldVVX2fJAGVijn6\\u002fHMDlV88uT8+njOTmiYRUCEEf5Xr5efJrbSO8pIGMMOBYBTVuTFYrZGaE6h5DgWkguVV11VsuBHZq7g7WDh54C14Sd9MNw0OwoRxxbs6sx\\u002f+6GIp3RZrY1RBsVjqB8Q3IhHtge7ubrfWlXl9n17I6yEU+ttIzd7u7rp165hhWJ+HoH8RjUUWutwU4znj2DNP7Heff26gwXZEXFVP0g5bg2AEw7cugj0n5uXJXe756\\u002f5Y6skHikl\\u002f3R9gScoOWn+8f8pI5dlehlJCbFvAsR1nybKm7I2fWOosXJJKq0pEzedLZULwr5KEb91+++1Z7\\u002f1Oui8hby2h0M8Aav3UNWvWtkej7Muuw78Yi8ciXFjVQwfGxp56tI+8vCvjtcMqJ6uf9wpqzK4oRj62CCDwAnOMAIYLantm\\u002fcS8d82vXjNdQCJo3DCI+PYseESadUz1ZPuozVvaormP3Hxe6bKrOpKapjWUyyYA\\u002fmNCeO8dd9yxq+b9hemyt5FQ6GcQtYJ\\u002f6KFHLidEfJVSdmskqsG2zMKOLcfyTz++TxkcKKRVVaJMmq0d1utjz\\u002fo959rBPLShMuSsAVaxwQwXXKZwdQlOowqzLYrKoiSkvIm2H+2fzL2LEw7rpcsMF1qU5d\\u002f3gfmF61YsVBJJvZW7BIZhbhaC\\u002f93KlXf8NHg\\u002foR9+ZhAK\\u002fQyj1pwHgO9\\u002f\\u002f5GPcs57InrkcioJlMvVzHPP9Bsbf3koWcxbCU2XvFV7+urLBXhMhqNLUEaroIY3rw2UQBD\\u002fwnNvMo1gBHaTBsCbHjM99Ra0j1oWhxCicuk728duuGUJ2juSrZTKcrFYOkop\\u002fValUrzv7rvvrvT09NCXXlpO1q8Po+lnCqHQz1BqW2rXrVunm6b5p45D\\u002fiqRiLW7riEymfLw00\\u002fstzf\\u002fbjAtXDpzO6w\\u002fYkpIFIISkOlD1OBNuiRCePPVCU4Y2ezNOxewLcdZsDiV+cgtS\\u002fiyi1qSqqzFcrmCK0n03ynF\\u002f7zjjjv6gTBddqYSCv0MZ6o5v66TEOuvhcDnEomYajuGcWDvWPbJ\\u002f+yT+l7ONsmyJPvtsJOFr74J7m0XPXkzoP5EGNfl\\u002fjw8\\u002fwX9+0DQPmoaNlLN+uiHblxcvurqOfGorqVM04VhVH9GKfv7lStv\\u002f31wnqGZfuYSCv0sYHo6bu3atVcKQb8mSfJNmibBMMzx7ZuH8j9\\u002frC92fKicUjWZUjq5uhMCmIaDcsWY2ArasrzJMvG4Dqlmz3fv8V77qKLS8nuumTP6\\u002fo8s0hubImkiZBRL5ZcIEb0rV965nhCIMF12dhAK\\u002fSziRMH\\u002f8JOci7+JRPRLCHFRKhnDG54+ZD\\u002f3y\\u002f6YaTgNkkwEQIhtO1h2QReu++DFaO9IQdUVlIsG+g+P4Oknt2Ho6BhUTYbgXq7ecbm1\\u002fJKW0Y\\u002fcvFjMmd\\u002fQIkualM+XRgkR\\u002f+Q45r\\u002f4886nzOMLObMJhX4WUmsmf\\u002fe7342ravQezvmfx2LRVi4s+\\u002fixYvb\\u002ffm+nM3AoP8c0bfHB6y8hax7+EuIJ\\u002fYRjDQ5ksfIPv43dL\\u002fZD01WoGs390cqLxpe\\u002fo6VVlfVIoVjhQogHqlXrG1\\u002f4wmcOB68fpsvOLuirPyTkTKO7u9v1g3TsrrvuKt5556e+IYT9B+VyZU0hb0gdHfH261YsoLblghBBKmUT8YQOx3En\\u002fti2A845WtqS0HUFgBCWybH8kpbypVe1tzg2jRRLlV8C9vtXrbr9T7\\u002fwhc8cXrduHQMQZARCkZ9F1N0mi+cS3d3dbo05fwDA5x98cG2aUuXj8aTaoCis5HAa29c3hMMHRzB\\u002fYQuEECDEq5+nlGB\\u002f31Hs3jUAPaKScsl2m5ojDYLTiG1VDx7u339jb2+vFbSPhtH0s5dwRT\\u002fLIYSI7u5ud82aNbIQglCK39oOR3tHvJhuj+YoKMayRbFty34AAA82c\\u002fCDb32vHMV4rgRCKDRdKi88r2mEMYWAiOd7e3utDRs2SN3d3W7oi5\\u002fdhEKvE4aGhlxCiHAc\\u002foJjOYhE5WhTs57kXKBSMcmL2w55D5zYMcn7ywu\\u002f74PEGFyXIxKV5Y7OmARBQCnZ+ja9lZDTQCj0OoNSfb9pmWOU0nj7nLjJhetouoIdWw\\u002fBNGwwRify5kIA2zYfAGNePj3VqNqKyjpKpRIH+B4A8CephpzlhEKvE\\u002fyRxohG94wRInZSKuO8peksk5ijqjJ2vXgIx4\\u002flAHjbShFCcKQ\\u002fg6NHspBkBu4KLFrWPCjLkmSa9oiu6y\\u002f7hw5N9jogFHr9ILy0V68F0F2EMDS36M2KQiVCCIpFA9u3HgAw6afv3HEYo6NFyIoEzgXmzE0kZUUGpaS\\u002fu7t7QAhBghtIyNlNKPQ6Ip1Oe9siEOwyTROaLiWbmyNZb0toLn7zX94iLYS3SO\\u002fZNYBS0RCMMigKLTalIwm\\u002fZnYHAKxfv94bIBdy1hMKvY7YuHEjBwBC6M5yuWKpmkQWLk3lXddLpe168TBMw4asSHAcF7tfPAxFZbAtjpaO2Hhre6zs5d7xO8DbeurtfUchbxah0OuIwMwuFMb2AMgoqiS3tEZbHdsRmq6QgcMZ7OsbAiEEY6Ml7NxxGLquwDQdNDXryWhMiZmmxQEeRtzrjFDo9YXo6emhX\\u002frSl0qE0D2MyGjvijuqygqSJGPo6JjYs7MfALC\\u002f7yiOH8tBkiQiwJ2OrrjJmBSzbetgJBIZBIDVq1eHK3qdEAq9TiEEm1wX6OxKVBqadNtxOBgl2LzJK5zZuukAOOfeTkyK5Cy9IJ0hRAJAdnR3d+eFECTItYec\\u002fYRCrzOC7YQ555sdl0OPyk2plBa1LQearpBNv30FALBj20G4jid0WaFSU3OkxRsURXYCwH333SchDMTVDaHQ64zbbrtNAABjYn+lXK4QQqPzFjYMC8E5YxTHjo5h86Z9GDicBZO8\\u002fHlLazSjRaSGYqEkhPCEPjQ0FIq8jgiFXn8IALBtexDAXsYkLDyv0SSUEEIIuAAeuu+XyGbyUFRJOA7HwvMaiqrKiO06Bcbc7f5xwkKZOiLsXqszgvbV7u7u4oMPfr+PMenSVJPWwRh1AMiO4+LpJ7fDth3IEiMlwxYtrbE2VVNZpWL3r1y5csD3z0Oh1xHhil6HBIUzlJIdtukg2aChrT12zHW9ia6maXn7snMgGpXGO+YmqgQMADYBwOrVq8MoXJ0RCr0OCQpnALqlWjUQjcq0c26COjYHIQSUEhACOI5AQ0rjHZ0xi3MCSvF7YDKgF1I\\u002fhEKvQ4LCGcfJvui6TlGSpUhza7TBdV0X3nRnEEKI47hoaNJ1VZNbyuWyS4i06+0+95DTQyj0+kQAwMDA2ChAdhMikQWLU1lNl8vcnxHjiV3wBYsah2RJUW3LPuw4Uj8Qlr7WI6HQ65RgQiuhdDMERUdXnEZjkuS1qHqPIYSQRUtSnEkSKKOvfPazt2XDya71SSj0+oUCAKViO+ccqsZaEymNc9fTsBACsiKZyUa109\\u002fEYTchRFx77bXhd6IOCS9qnbJ8+XLf\\u002fGZ95XLZpJQqi5c0DnIuQCjhrgO0dcWPJVM6r1YMAHQzAGQymdBsr0NCodcpt912GwcAIay9rusOKYpM5i1IRjgHKCGwbY7OrrgWjUiSaVouQLfWPi+kvgiFXqcEhTMrV64cBchBSZKRao40ygqpCBAqhOu0tMWisqLoAPbNn9826D\\u002fvbT7zkNNBKPRzAErJVsfmaGmLlltaY6OWyRGNK+XFS1MjEAwE2HLdddc5QogZdkUPqQdCodcxQYML53yTbTmIJxQt3aonzKqDaFRR0u0xHaBglG4DJkZHhdQh4YWtY1avXg0AoFS8aJqmDdBkW1fCdbnjNjXrhizRtlKpJAQhL729ZxpyugmFXscEE2JKpdKwAH+FEAlLz28aliTqLliSGlZkxizLHiGm2weEhTL1TCj0OoYQgsnRUmQnpQzptlhKkhhr74qnZEUBIeTInZ+78zCAcLRzHRMKvb6pKYARu4QQkGXWPGde\\u002fHBDoxYnoBACu\\u002f0IfTjauY4JhV7nBAUwhLBdlXKFUwr6gZsWHW5s1Ku27YAQtuntPseQ008o9DpnsnDGftF13XFJkuiSpc1LVE2K2LYDSrEFCP3zeicUep1DCBGEAKtWrToKoJ8xBkkicyRJ0m3bPi5J4vDbfY4hp59Q6OcAX\\u002ftaT3CdN1NKAcCWJAkAdvb19Y0D4Qz3eicU+jlAMDGGUvq8J3TCZVmGENjd29vrrFu3jhFCQqHXMaHQzyEIYbsty3SFELJlWeBc7AEmZ8yF1C+h0M8BJgNt9qBtO0cURWGmaVZkGS8BtTPmQuqV8E5+jiCEIN3d3fTGG2\\u002f+WTKZ+FCxWBzQNHl5d3d36e0+t5DTT7iinyPcd9990vr1611CyMuMMQjBD3R3d5f8jrWQOicU+jlCKpXiAMC52G5ZluAcO4Bwhvu5Qij0c4TAT2eMb+GcE0rJdiCc4X6uEAr9HCFoWNE07UC1aowAZP\\u002fbfU4hbx2h0M8dBADkcjlHCP4T10UWCEtfzxVCoZ9jeL46+Y9YTB4Bwoq4kJC6paenR0KYWg0JCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJOTn\\u002fH092kpAhGXw+AAAAAElFTkSuQmCC\",\"x\":210,\"xanchor\":\"center\",\"xref\":\"x\",\"y\":321,\"yanchor\":\"middle\",\"yref\":\"y\"}],\"title\":{\"text\":\"Win\\u002fLoss Ratio since Current GM took role\",\"x\":0.5,\"xanchor\":\"center\"},\"shapes\":[{\"line\":{\"color\":\"red\",\"dash\":\"dash\"},\"type\":\"line\",\"x0\":0,\"x1\":1,\"xref\":\"x domain\",\"y0\":259.93333333333334,\"y1\":259.93333333333334,\"yref\":\"y\"},{\"line\":{\"color\":\"green\",\"dash\":\"dash\"},\"type\":\"line\",\"x0\":269.8666666666667,\"x1\":269.8666666666667,\"xref\":\"x\",\"y0\":0,\"y1\":1,\"yref\":\"y domain\"}],\"annotations\":[{\"showarrow\":false,\"text\":\"avg losses = 259.93\",\"x\":1,\"xanchor\":\"right\",\"xref\":\"x domain\",\"y\":259.93333333333334,\"yanchor\":\"bottom\",\"yref\":\"y\"},{\"showarrow\":false,\"text\":\"avg wins = 269.87\",\"x\":269.8666666666667,\"xanchor\":\"left\",\"xref\":\"x\",\"y\":1,\"yanchor\":\"top\",\"yref\":\"y domain\"},{\"font\":{\"color\":\"Orange\",\"size\":14},\"showarrow\":false,\"text\":\"Linear Trendline\",\"x\":850,\"y\":850}]},                        {\"responsive\": true}                    ).then(function(){\n",
       "                            \n",
       "var gd = document.getElementById('9dc7a9df-9500-4bb8-902a-cbb5f9f47dd9');\n",
       "var x = new MutationObserver(function (mutations, observer) {{\n",
       "        var display = window.getComputedStyle(gd).display;\n",
       "        if (!display || display === 'none') {{\n",
       "            console.log([gd, 'removed!']);\n",
       "            Plotly.purge(gd);\n",
       "            observer.disconnect();\n",
       "        }}\n",
       "}});\n",
       "\n",
       "// Listen for the removal of the full notebook cells\n",
       "var notebookContainer = gd.closest('#notebook-container');\n",
       "if (notebookContainer) {{\n",
       "    x.observe(notebookContainer, {childList: true});\n",
       "}}\n",
       "\n",
       "// Listen for the clearing of the current output cell\n",
       "var outputEl = gd.closest('.output');\n",
       "if (outputEl) {{\n",
       "    x.observe(outputEl, {childList: true});\n",
       "}}\n",
       "\n",
       "                        })                };                });            </script>        </div>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = px.scatter(merged_nba_teams, x='wins_since', y='losses_since', hover_data=['nickname', 'general_manager', 'gm_start_date'])\n",
    "fig.update_traces(marker_color=\"rgba(0,0,0,0)\")\n",
    "maxDim = merged_nba_teams[[\"wins_since\", \"losses_since\"]].max().idxmax()\n",
    "maxi = merged_nba_teams[maxDim].max()\n",
    "\n",
    "for i, row in merged_nba_teams.iterrows():\n",
    "    fig.add_layout_image(\n",
    "        dict(\n",
    "            source=list_of_logos[i],\n",
    "            xref=\"x\",\n",
    "            yref=\"y\",\n",
    "            xanchor=\"center\",\n",
    "            yanchor=\"middle\",\n",
    "            x=row[\"wins_since\"],\n",
    "            y=row[\"losses_since\"],\n",
    "            sizex=150,\n",
    "            sizey=150,\n",
    "            sizing=\"contain\",\n",
    "            layer=\"above\"\n",
    "        )\n",
    "    )\n",
    "\n",
    "fig.update_layout(title={\n",
    "                'text' : 'Win/Loss Ratio since Current GM took role',\n",
    "                'x':0.5,\n",
    "                 'xanchor': 'center'},\n",
    "                  xaxis_title='Amount of Wins',\n",
    "                  yaxis_title='Amount of Losses')\n",
    "\n",
    "fig.update_traces(textfont_size = 14)\n",
    "fig.update_yaxes(range = [-40,900])\n",
    "fig.add_hline(y=np.mean(merged_nba_teams['losses_since']), line_dash=\"dash\", line_color=\"red\", annotation_text=\"avg losses = \" + \n",
    "              str(round(np.mean(merged_nba_teams['losses_since']),2)))\n",
    "fig.add_vline(x=np.mean(merged_nba_teams['wins_since']), line_dash=\"dash\", line_color=\"green\", annotation_text=\"avg wins = \" + \n",
    "              str(round(np.mean(merged_nba_teams['wins_since']),2)))\n",
    "\n",
    "# Add trendline\n",
    "fig.add_trace(go.Scatter(\n",
    "    x=[0, 900],\n",
    "    y=[0, 900],\n",
    "    mode='lines',\n",
    "    showlegend=False,\n",
    "    line=dict(color='orange', dash='dash')\n",
    "))\n",
    "\n",
    "# Add annotation text\n",
    "fig.add_annotation(\n",
    "    x=850,\n",
    "    y=850,\n",
    "    text=\"Linear Trendline\",\n",
    "    showarrow=False,\n",
    "    font=dict(color=\"Orange\", size=14)\n",
    ")\n",
    "\n",
    "fig.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Sean Marks has won 348 games and lost 417 games (45.4% Win Rate) since taking the GM role. In comparison with others, Nets rank **23rd** in terms of Win Rate since their current GM took role, in between the Atlanta Hawks and Orlando Magic. So I'd say it's not looking so good. Let's look at his Win-Loss record and compare it with Nets' previous GMs to see how he's doing internally, we can answer who's the *winningest* GM of Nets franchise history. In order to do this, I will:\n",
    "- Gather all Nets games\n",
    "- Gather list of all Nets GMs and associated tenure duration\n",
    "- Compare their Win-Loss Records and see who has the highest win-rate."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Getting all Nets Games ###"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Number of historical games: 3643\n",
      "Minimum Game Date: 1983-10-28\n",
      "Maximum Game Date: 2024-07-21\n"
     ]
    }
   ],
   "source": [
    "from nba_api.stats.endpoints import leaguegamefinder\n",
    "\n",
    "\n",
    "nets_master = merged_nba_teams.query('nickname == \"Nets\"')\n",
    "nets_id = nets_master['id'].iloc[0]\n",
    "\n",
    "\n",
    "# Query for all regular season games for Nets\n",
    "gamefinder = leaguegamefinder.LeagueGameFinder(team_id_nullable=nets_id)\n",
    "\n",
    "# The first DataFrame of those returned is what we want.\n",
    "nets = gamefinder.get_data_frames()[0]\n",
    "nets['OPP_TEAM_ABBREVIATION'] = nets['MATCHUP'].str.extract(r'[@vs\\.] ?(\\w+)$')\n",
    "nets['LOCATION'] = np.where(nets['MATCHUP'].str.contains('@'), 'Home', 'Away')\n",
    "\n",
    "print(\"Number of historical games:\", len(nets))\n",
    "print(\"Minimum Game Date:\", min(nets['GAME_DATE']))\n",
    "print(\"Maximum Game Date:\", max(nets['GAME_DATE']))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [
    {
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       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>SEASON_ID</th>\n",
       "      <th>TEAM_ID</th>\n",
       "      <th>TEAM_ABBREVIATION</th>\n",
       "      <th>TEAM_NAME</th>\n",
       "      <th>GAME_ID</th>\n",
       "      <th>GAME_DATE</th>\n",
       "      <th>MATCHUP</th>\n",
       "      <th>WL</th>\n",
       "      <th>MIN</th>\n",
       "      <th>PTS</th>\n",
       "      <th>...</th>\n",
       "      <th>DREB</th>\n",
       "      <th>REB</th>\n",
       "      <th>AST</th>\n",
       "      <th>STL</th>\n",
       "      <th>BLK</th>\n",
       "      <th>TOV</th>\n",
       "      <th>PF</th>\n",
       "      <th>PLUS_MINUS</th>\n",
       "      <th>OPP_TEAM_ABBREVIATION</th>\n",
       "      <th>LOCATION</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>22024</td>\n",
       "      <td>1610612751</td>\n",
       "      <td>BKN</td>\n",
       "      <td>Brooklyn Nets</td>\n",
       "      <td>1522400072</td>\n",
       "      <td>2024-07-21</td>\n",
       "      <td>BKN vs. CHA</td>\n",
       "      <td>L</td>\n",
       "      <td>201</td>\n",
       "      <td>90</td>\n",
       "      <td>...</td>\n",
       "      <td>26</td>\n",
       "      <td>31</td>\n",
       "      <td>18</td>\n",
       "      <td>11</td>\n",
       "      <td>5</td>\n",
       "      <td>20</td>\n",
       "      <td>19</td>\n",
       "      <td>-8.0</td>\n",
       "      <td>CHA</td>\n",
       "      <td>Away</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>22024</td>\n",
       "      <td>1610612751</td>\n",
       "      <td>BKN</td>\n",
       "      <td>Brooklyn Nets</td>\n",
       "      <td>1522400049</td>\n",
       "      <td>2024-07-18</td>\n",
       "      <td>BKN vs. ORL</td>\n",
       "      <td>W</td>\n",
       "      <td>201</td>\n",
       "      <td>102</td>\n",
       "      <td>...</td>\n",
       "      <td>29</td>\n",
       "      <td>34</td>\n",
       "      <td>25</td>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "      <td>9</td>\n",
       "      <td>14</td>\n",
       "      <td>2.0</td>\n",
       "      <td>ORL</td>\n",
       "      <td>Away</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>22024</td>\n",
       "      <td>1610612751</td>\n",
       "      <td>BKN</td>\n",
       "      <td>Brooklyn Nets</td>\n",
       "      <td>1522400031</td>\n",
       "      <td>2024-07-16</td>\n",
       "      <td>BKN vs. NYK</td>\n",
       "      <td>W</td>\n",
       "      <td>200</td>\n",
       "      <td>92</td>\n",
       "      <td>...</td>\n",
       "      <td>22</td>\n",
       "      <td>34</td>\n",
       "      <td>19</td>\n",
       "      <td>13</td>\n",
       "      <td>0</td>\n",
       "      <td>14</td>\n",
       "      <td>23</td>\n",
       "      <td>-1.8</td>\n",
       "      <td>NYK</td>\n",
       "      <td>Away</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>22024</td>\n",
       "      <td>1610612751</td>\n",
       "      <td>BKN</td>\n",
       "      <td>Brooklyn Nets</td>\n",
       "      <td>1522400017</td>\n",
       "      <td>2024-07-14</td>\n",
       "      <td>BKN @ LAC</td>\n",
       "      <td>L</td>\n",
       "      <td>201</td>\n",
       "      <td>78</td>\n",
       "      <td>...</td>\n",
       "      <td>16</td>\n",
       "      <td>27</td>\n",
       "      <td>13</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>14</td>\n",
       "      <td>24</td>\n",
       "      <td>-17.4</td>\n",
       "      <td>LAC</td>\n",
       "      <td>Home</td>\n",
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       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>22024</td>\n",
       "      <td>1610612751</td>\n",
       "      <td>BKN</td>\n",
       "      <td>Brooklyn Nets</td>\n",
       "      <td>1522400005</td>\n",
       "      <td>2024-07-12</td>\n",
       "      <td>BKN @ IND</td>\n",
       "      <td>W</td>\n",
       "      <td>220</td>\n",
       "      <td>97</td>\n",
       "      <td>...</td>\n",
       "      <td>27</td>\n",
       "      <td>40</td>\n",
       "      <td>21</td>\n",
       "      <td>17</td>\n",
       "      <td>11</td>\n",
       "      <td>21</td>\n",
       "      <td>32</td>\n",
       "      <td>0.4</td>\n",
       "      <td>IND</td>\n",
       "      <td>Home</td>\n",
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       "  SEASON_ID     TEAM_ID TEAM_ABBREVIATION      TEAM_NAME     GAME_ID  \\\n",
       "0     22024  1610612751               BKN  Brooklyn Nets  1522400072   \n",
       "1     22024  1610612751               BKN  Brooklyn Nets  1522400049   \n",
       "2     22024  1610612751               BKN  Brooklyn Nets  1522400031   \n",
       "3     22024  1610612751               BKN  Brooklyn Nets  1522400017   \n",
       "4     22024  1610612751               BKN  Brooklyn Nets  1522400005   \n",
       "\n",
       "    GAME_DATE      MATCHUP WL  MIN  PTS  ...  DREB  REB  AST  STL  BLK  TOV  \\\n",
       "0  2024-07-21  BKN vs. CHA  L  201   90  ...    26   31   18   11    5   20   \n",
       "1  2024-07-18  BKN vs. ORL  W  201  102  ...    29   34   25    6    1    9   \n",
       "2  2024-07-16  BKN vs. NYK  W  200   92  ...    22   34   19   13    0   14   \n",
       "3  2024-07-14    BKN @ LAC  L  201   78  ...    16   27   13    6    6   14   \n",
       "4  2024-07-12    BKN @ IND  W  220   97  ...    27   40   21   17   11   21   \n",
       "\n",
       "   PF  PLUS_MINUS  OPP_TEAM_ABBREVIATION  LOCATION  \n",
       "0  19        -8.0                    CHA      Away  \n",
       "1  14         2.0                    ORL      Away  \n",
       "2  23        -1.8                    NYK      Away  \n",
       "3  24       -17.4                    LAC      Home  \n",
       "4  32         0.4                    IND      Home  \n",
       "\n",
       "[5 rows x 30 columns]"
      ]
     },
     "execution_count": 45,
     "metadata": {},
     "output_type": "execute_result"
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   ],
   "source": [
    "nets.head()"
   ]
  },
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   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
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       "array(['22024', '22023', '12023', '42022', '22022', '12022', '42021',\n",
       "       '52021', '22021', '12021', '42020', '22020', '12020', '42019',\n",
       "       '22019', '12019', '42018', '22018', '12018', '22017', '12017',\n",
       "       '22016', '12016', '22015', '12015', '42014', '22014', '12014',\n",
       "       '42013', '22013', '12013', '42012', '22012', '12012', '22011',\n",
       "       '12011', '22010', '12010', '22009', '12009', '22008', '12008',\n",
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       "       '12005', '42004', '22004', '12004', '42003', '22003', '12003',\n",
       "       '42002', '22002', '42001', '22001', '22000', '21999', '21998',\n",
       "       '41997', '21997', '21996', '21995', '21994', '41993', '21993',\n",
       "       '41992', '21992', '41991', '21991', '21990', '21989', '21988',\n",
       "       '21987', '21986', '41985', '21985', '41984', '21984', '41983',\n",
       "       '21983'], dtype=object)"
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    "nets['SEASON_ID'].unique()"
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  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "What do the first digits within each season_id value mean? \n",
    "- 1: Preseason games\n",
    "- 2: Regular season games\n",
    "- 3: All-Star games\n",
    "- 4: Playoffs games\n",
    "- 5: Play-In Tournament games (introduced in recent years)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Separate into two columns\n",
    "nets['PLAY_TYPE'] = nets['SEASON_ID'].str[0].astype(int)\n",
    "nets['SEASON'] = nets['SEASON_ID'].str[1:].astype(int)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "I'm going to create a split of the historical data when Sean Marks took ownership. He joined the organization February 2016. Let's say 2016 regular season - onwards is Sean Marks era of BK Nets."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Split on 2016 regular season\n",
    "sm_seasons = [i for i in range(2016, 2024)]\n",
    "\n",
    "\n",
    "nets_post_sm = nets[nets['SEASON'].isin(sm_seasons)]\n",
    "nets_pre_sm = nets[~nets['SEASON'].isin(sm_seasons)]"
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   "source": [
    "# Count the number of 'W' and 'L' within each season\n",
    "win_loss_counts = nets[nets['PLAY_TYPE'] == 2].groupby(['SEASON', 'WL']).size().unstack(fill_value=0).reset_index()\n",
    "win_loss_counts['W_L_PERC'] = win_loss_counts['W'] / (win_loss_counts['W'] + win_loss_counts['L'])\n",
    "win_loss_counts\n",
    "\n",
    "\n",
    "# Create a line plot using Plotly\n",
    "fig = px.line(win_loss_counts, x='SEASON', y='W_L_PERC', markers=True,\n",
    "              labels={'value': 'Percentage', 'SEASON': 'Season'})\n",
    "\n",
    "\n",
    "# Update layout to position the title in the middle bottom\n",
    "fig.update_layout(\n",
    "    title={\n",
    "        'text': 'Nets W-L% over Regular Seasons since 1990',\n",
    "        'y': 0.02,  # Adjust this value to position the title vertically (0.02 is near the bottom)\n",
    "        'x': 0.5,   # Center the title horizontally\n",
    "        'xanchor': 'center',\n",
    "        'yanchor': 'bottom'\n",
    "    }\n",
    ")\n",
    "\n",
    "\n",
    "# Update layout for better visualization\n",
    "fig.update_layout(\n",
    "    xaxis_title='Season',\n",
    "    yaxis_title='Percentage',\n",
    "    hovermode='x unified',\n",
    "    template='plotly_dark'\n",
    ")\n",
    "\n",
    "# Customize hover template to show percentage rounded to two decimals\n",
    "fig.update_traces(\n",
    "    hovertemplate='<b>Season</b>: %{x}<br>' +\n",
    "                  '<b>Percentage</b>: %{y:.2f}<extra></extra>'\n",
    ")\n",
    "\n",
    "# Add a vertical line at the year 2016\n",
    "fig.add_shape(dict(type='line', x0=2016, y0=0, x1=2016, y1=1, xref='x', yref='paper', line=dict(color='red', width=2)))\n",
    "\n",
    "# Add a horizontal line at percentage .5 to indicate a \"good\" regular season\n",
    "# where they win at least half of their games\n",
    "fig.add_shape(dict(type='line', y0=0.5, y1=0.5, x0=0, x1=1, xref='paper', yref='y', line=dict(color='green', width=1)))\n",
    "\n",
    "# Add annotation to the red line\n",
    "fig.add_annotation(dict(x=2016, y=1, xref='x', yref='paper', text='Sean Marks', showarrow=True, arrowhead=2, ax=0, ay=-40, font=dict(color='white')))\n",
    "\n",
    "# Add a vertical line at the year 2010\n",
    "fig.add_shape(dict(type='line', x0=2010, y0=0, x1=2010, y1=1, xref='x', yref='paper', line=dict(color='red', width=2)))\n",
    "\n",
    "# Add annotation to the red line\n",
    "fig.add_annotation(dict(x=2010, y=1, xref='x', yref='paper', text='Billy King', showarrow=True, arrowhead=2, ax=0, ay=-40, font=dict(color='white')))\n",
    "\n",
    "# Add a vertical line at the year 2000\n",
    "fig.add_shape(dict(type='line', x0=2000, y0=0, x1=2000, y1=1, xref='x', yref='paper', line=dict(color='red', width=2)))\n",
    "\n",
    "# Add annotation to the red line\n",
    "fig.add_annotation(dict(x=2000, y=1, xref='x', yref='paper', text='Rod Thorn', showarrow=True, arrowhead=2, ax=0, ay=-40, font=dict(color='white')))\n",
    "\n",
    "# Add a vertical line at the year 2008\n",
    "fig.add_shape(dict(type='line', x0=2008, y0=0, x1=2008, y1=1, xref='x', yref='paper', line=dict(color='red', width=2)))\n",
    "\n",
    "# Add annotation to the red line\n",
    "fig.add_annotation(dict(x=2008, y=1, xref='x', yref='paper', text='Kiki Vandeweghe', showarrow=True, arrowhead=2, ax=-35, ay=-40, font=dict(color='white')))\n",
    "\n",
    "# Add a vertical line at the year 1990\n",
    "fig.add_shape(dict(type='line', x0=1990, y0=0, x1=1990, y1=1, xref='x', yref='paper', line=dict(color='red', width=2)))\n",
    "\n",
    "# Add annotation to the red line\n",
    "fig.add_annotation(dict(x=1990, y=1, xref='x', yref='paper', text='Willis Reed', showarrow=True, arrowhead=2, ax=-35, ay=-40, font=dict(color='white')))\n",
    "\n",
    "# Add a vertical line at the year 2008\n",
    "fig.add_shape(dict(type='line', x0=1996, y0=0, x1=1996, y1=1, xref='x', yref='paper', line=dict(color='red', width=2)))\n",
    "\n",
    "# Add annotation to the red line\n",
    "fig.add_annotation(dict(x=1996, y=1, xref='x', yref='paper', text='John Nash', showarrow=True, arrowhead=2, ax=-35, ay=-40, font=dict(color='white')))\n",
    "\n",
    "\n",
    "fig.show()\n",
    "\n",
    "# Here's a timeline of the General Managers (GMs) of the Brooklyn Nets:\n",
    "# According to https://www.retroseasons.com/teams/brooklyn-nets/history/general-managers/\n",
    "# 1967-1970: Max Zaslofsky\n",
    "# 1970-1972: Herb Brown\n",
    "# 1972-1975: Lou Carnesecca\n",
    "# 1975-1987: Bob MacKinnon\n",
    "# 1987-1990: Harry Weltman\n",
    "# 1990-1996: Willis Reed\n",
    "# 1996-2000: John Nash\n",
    "# 2000-2008: Rod Thorn\n",
    "# 2008-2010: Kiki Vandeweghe\n",
    "# 2010-2016: Billy King\n",
    "# 2016-present: Sean Marks\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "How Quickly They Rise... and How Quickly They Fall. \n",
    "\n",
    "Sean Marks had a historic run in terms of W-L% in his first couple seasons as GM. Under his tenure, the Nets achieved their highest W-L% ever at 67% win rate during their 2020-21 COVID-Bubble season where the Nets were experimenting with the trio of Kyrie/KD/Harden. This trio will forever remain as the \"What could've been\" team."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let's get their average win-rate across their tenure..."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Willis Reed, GM from 1990-96: 0.43\n",
      "John Nash, GM from 1996-00: 0.38\n",
      "Rod Thorn, GM from 2000-08: 0.52\n",
      "Kiki Vandeweghe, GM from 2008-10: 0.28\n",
      "Billy King, GM from 2010-16: 0.41\n",
      "Sean Marks, GM from 2016-Present: 0.48\n"
     ]
    }
   ],
   "source": [
    "# 1990-1996: Willis Reed\n",
    "# 1996-2000: John Nash\n",
    "# 2000-2008: Rod Thorn\n",
    "# 2008-2010: Kiki Vandeweghe\n",
    "# 2010-2016: Billy King\n",
    "# 2016-present: Sean Marks\n",
    "\n",
    "w_reed = range(1990, 1996)\n",
    "j_nash = range(1996, 2000)\n",
    "r_thorn = range(2000, 2008)\n",
    "k_van = range(2008, 2010)\n",
    "b_king = range(2010, 2016)\n",
    "s_marks = range(2016, 2025)\n",
    "\n",
    "\n",
    "print(\"Willis Reed, GM from 1990-96:\", round(win_loss_counts[win_loss_counts['SEASON'].isin(w_reed)]['W_L_PERC'].mean(),2))\n",
    "print(\"John Nash, GM from 1996-00:\", round(win_loss_counts[win_loss_counts['SEASON'].isin(j_nash)]['W_L_PERC'].mean(),2))\n",
    "print(\"Rod Thorn, GM from 2000-08:\", round(win_loss_counts[win_loss_counts['SEASON'].isin(r_thorn)]['W_L_PERC'].mean(),2))\n",
    "print(\"Kiki Vandeweghe, GM from 2008-10:\", round(win_loss_counts[win_loss_counts['SEASON'].isin(k_van)]['W_L_PERC'].mean(),2))\n",
    "print(\"Billy King, GM from 2010-16:\", round(win_loss_counts[win_loss_counts['SEASON'].isin(b_king)]['W_L_PERC'].mean(),2))\n",
    "print(\"Sean Marks, GM from 2016-Present:\", round(win_loss_counts[win_loss_counts['SEASON'].isin(s_marks)]['W_L_PERC'].mean(),2))\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "It seems like we're a franchise that doesn't have a winning culture. Since 1990, our highest win-rate in the regular season has only been 52%, we won at least half our games. That's pretty good, it's hard to win in the NBA. Also, during this time period, we did reach the finals. So that's something to be happy about. But our lowest win rate being 28% is crazy (Thanks Kiki.)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Additional Metrics: Comparing TS%, AST%, TOV% YoY ##\n",
    "Add league avg to compare how Nets have performed."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Add team-level features to dataset:\n",
    "- `TS_PERC` : True Shooting Percentage = takes into account 3 pointers and freethrows into field goal percentage\n",
    "- `AST_PERC` : Assist Percentage = the percentage of team field goals that were assisted\n",
    "- `TOV_PERC` : Turnover Percentage = the percentage of possessions that end in a turnover"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [],
   "source": [
    "# True shooting percentage\n",
    "# TS% = PTS / (2 * (FGA + 0.44 * FTA))\n",
    "nets['TS_PERC'] = nets['PTS'] / (2 * (nets['FGA'] + .44 * nets['FTA']))\n",
    "\n",
    "# AST% = AST / FGM\n",
    "nets['AST_PERC'] = nets['AST'] / nets['FGM']\n",
    "\n",
    "# TOV% = TOV / (FGA + 0.44 * FTA + TOV)\n",
    "nets['TOV_PERC'] = nets['TOV'] / (nets['FGA'] + .44 * nets['FTA'] + nets['TOV'])\n",
    "\n",
    "# Ensure columns are numeric\n",
    "nets['TS_PERC'] = pd.to_numeric(nets['TS_PERC'], errors='coerce')\n",
    "nets['AST_PERC'] = pd.to_numeric(nets['AST_PERC'], errors='coerce')\n",
    "nets['TOV_PERC'] = pd.to_numeric(nets['TOV_PERC'], errors='coerce')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {},
   "outputs": [],
   "source": [
    "nets_post_sm = nets[nets['SEASON'].isin(sm_seasons)]\n",
    "nets_pre_sm = nets[~nets['SEASON'].isin(sm_seasons)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1440x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plotting\n",
    "plt.figure(figsize=(20, 10))\n",
    "\n",
    "# Plot TS% means\n",
    "plt.plot(nets_post_sm.groupby('SEASON')['TS_PERC'].mean(), marker='o', color = \"black\", linestyle='--', label='TS%')\n",
    "plt.plot(nets_pre_sm.groupby('SEASON')['TS_PERC'].mean(), marker='o',  color = \"black\", linestyle='--')\n",
    "\n",
    "\n",
    "# Plot AST% means\n",
    "plt.plot(nets_post_sm.groupby('SEASON')['AST_PERC'].mean(), marker='o', linestyle='--', color = \"red\", label = 'AST%')\n",
    "plt.plot(nets_pre_sm.groupby('SEASON')['AST_PERC'].mean(), marker='o', linestyle='--', color = \"red\")\n",
    "\n",
    "# Plot TOV% means\n",
    "plt.plot(nets_post_sm.groupby('SEASON')['TOV_PERC'].mean(), marker='o', linestyle='--', color = \"blue\", label ='TOV%')\n",
    "plt.plot(nets_pre_sm.groupby('SEASON')['TOV_PERC'].mean(), marker='o', linestyle='--',  color = \"blue\")\n",
    "\n",
    "\n",
    "# Adding labels and title\n",
    "plt.xlabel('Season')\n",
    "plt.ylabel('Percentage')\n",
    "plt.title('Nets AVG TS%, AST%, TOV% over Regular Seasons')\n",
    "plt.legend()\n",
    "plt.grid(True)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 2. Playoff Wins #"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let's gather a list of playoff appearances."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>SEASON</th>\n",
       "      <th>OPP_TEAM_ABBREVIATION</th>\n",
       "      <th>Wins</th>\n",
       "      <th>Losses</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1983</td>\n",
       "      <td>MIL</td>\n",
       "      <td>2.0</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1983</td>\n",
       "      <td>PHL</td>\n",
       "      <td>3.0</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1984</td>\n",
       "      <td>DET</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1985</td>\n",
       "      <td>MIL</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1991</td>\n",
       "      <td>CLE</td>\n",
       "      <td>1.0</td>\n",
       "      <td>3.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>1992</td>\n",
       "      <td>CLE</td>\n",
       "      <td>2.0</td>\n",
       "      <td>3.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>1993</td>\n",
       "      <td>NYK</td>\n",
       "      <td>1.0</td>\n",
       "      <td>3.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>1997</td>\n",
       "      <td>CHI</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>2001</td>\n",
       "      <td>BOS</td>\n",
       "      <td>4.0</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>2001</td>\n",
       "      <td>CHH</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>2001</td>\n",
       "      <td>IND</td>\n",
       "      <td>3.0</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>2001</td>\n",
       "      <td>LAL</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>2002</td>\n",
       "      <td>BOS</td>\n",
       "      <td>4.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>2002</td>\n",
       "      <td>DET</td>\n",
       "      <td>4.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>2002</td>\n",
       "      <td>MIL</td>\n",
       "      <td>4.0</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>2002</td>\n",
       "      <td>SAS</td>\n",
       "      <td>2.0</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>2003</td>\n",
       "      <td>DET</td>\n",
       "      <td>3.0</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>2003</td>\n",
       "      <td>NYK</td>\n",
       "      <td>4.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>2004</td>\n",
       "      <td>MIA</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>2005</td>\n",
       "      <td>IND</td>\n",
       "      <td>4.0</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>2005</td>\n",
       "      <td>MIA</td>\n",
       "      <td>1.0</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>2006</td>\n",
       "      <td>CLE</td>\n",
       "      <td>2.0</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>2006</td>\n",
       "      <td>TOR</td>\n",
       "      <td>4.0</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>2012</td>\n",
       "      <td>CHI</td>\n",
       "      <td>3.0</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>2013</td>\n",
       "      <td>MIA</td>\n",
       "      <td>1.0</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>2013</td>\n",
       "      <td>TOR</td>\n",
       "      <td>4.0</td>\n",
       "      <td>3.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>2014</td>\n",
       "      <td>ATL</td>\n",
       "      <td>2.0</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>2018</td>\n",
       "      <td>PHI</td>\n",
       "      <td>1.0</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>2019</td>\n",
       "      <td>TOR</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>2020</td>\n",
       "      <td>BOS</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>2020</td>\n",
       "      <td>MIL</td>\n",
       "      <td>3.0</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>2021</td>\n",
       "      <td>BOS</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>2022</td>\n",
       "      <td>PHI</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    SEASON OPP_TEAM_ABBREVIATION  Wins  Losses\n",
       "0     1983                   MIL   2.0     4.0\n",
       "1     1983                   PHL   3.0     2.0\n",
       "2     1984                   DET   0.0     3.0\n",
       "3     1985                   MIL   0.0     3.0\n",
       "4     1991                   CLE   1.0     3.0\n",
       "5     1992                   CLE   2.0     3.0\n",
       "6     1993                   NYK   1.0     3.0\n",
       "7     1997                   CHI   0.0     3.0\n",
       "8     2001                   BOS   4.0     2.0\n",
       "9     2001                   CHH   4.0     1.0\n",
       "10    2001                   IND   3.0     2.0\n",
       "11    2001                   LAL   0.0     4.0\n",
       "12    2002                   BOS   4.0     0.0\n",
       "13    2002                   DET   4.0     0.0\n",
       "14    2002                   MIL   4.0     2.0\n",
       "15    2002                   SAS   2.0     4.0\n",
       "16    2003                   DET   3.0     4.0\n",
       "17    2003                   NYK   4.0     0.0\n",
       "18    2004                   MIA   0.0     4.0\n",
       "19    2005                   IND   4.0     2.0\n",
       "20    2005                   MIA   1.0     4.0\n",
       "21    2006                   CLE   2.0     4.0\n",
       "22    2006                   TOR   4.0     2.0\n",
       "23    2012                   CHI   3.0     4.0\n",
       "24    2013                   MIA   1.0     4.0\n",
       "25    2013                   TOR   4.0     3.0\n",
       "26    2014                   ATL   2.0     4.0\n",
       "27    2018                   PHI   1.0     4.0\n",
       "28    2019                   TOR   0.0     4.0\n",
       "29    2020                   BOS   4.0     1.0\n",
       "30    2020                   MIL   3.0     4.0\n",
       "31    2021                   BOS   0.0     4.0\n",
       "32    2022                   PHI   0.0     4.0"
      ]
     },
     "execution_count": 54,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "playoff_nets = nets[nets['PLAY_TYPE'] == 4]\n",
    "\n",
    "# Group by season, WL, and MATCHUP, and count the occurrences\n",
    "grouped_df = playoff_nets.groupby(['SEASON', 'WL', 'OPP_TEAM_ABBREVIATION']).size().reset_index(name='count')\n",
    "\n",
    "# Pivot the table to get the desired format\n",
    "pivot_df = grouped_df.pivot_table(index=['SEASON', 'OPP_TEAM_ABBREVIATION'], columns='WL', values='count', fill_value=0).reset_index()\n",
    "\n",
    "# Rename the columns for clarity\n",
    "pivot_df.columns.name = None  # Remove the categories name\n",
    "pivot_df = pivot_df.rename(columns={'W': 'Wins', 'L': 'Losses'})\n",
    "\n",
    "# Display the resulting dataframe\n",
    "pivot_df = pivot_df[['SEASON', 'OPP_TEAM_ABBREVIATION', 'Wins', 'Losses']]\n",
    "\n",
    "pivot_df"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## To be continued... ##"
   ]
  }
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