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<title>Parliaments of Europe, Mapped</title>
<link rel="preconnect" href="https://fonts.googleapis.com">
<link rel="preconnect" href="https://fonts.gstatic.com" crossorigin>
<link rel="stylesheet" href="https://fonts.googleapis.com/css2?family=Roboto:wght@300;400;500;700&display=swap">

<style>
:root{
  color-scheme: light;
  /* Researchers' Night: navy, blue, cyan, and one yellow for the highlight */
  --navy:#011945;
  --navy-2:#292966;
  --blue:#1263DC;
  --blue-deep:#0056A7;
  --cyan:#00BCE7;
  --yellow:#FFDC00;
  --paper:#FFFFFF;
  --card:#FFFFFF;
  --sunk:#EFF2F6;
  --ink:#011945;
  --ink-2:#4E5B73;
  --muted:#8792A6;
  --rule:#E2E7EE;
  --accent:var(--blue);
  --accent-soft:#F4F8FE;
  --sea:#F7F9FC;
  --land:#E7EBF1;
  --land-line:#FFFFFF;
  --c1:#C6D6F1; --c2:#8FB3E8; --c3:#4B8BE0; --c4:#1263DC; --c5:#0056A7;
  --hl:var(--yellow);
  --fem:var(--navy); --masc:#9FB6DC;
  --shadow:none;
  --r:3px;
}
@media (prefers-color-scheme: dark){
  :root:not([data-theme="light"]){
    color-scheme: dark;
    --paper:#080F1F; --card:#0E182C; --sunk:#16223A;
    --ink:#EEF2F8; --ink-2:#A9B6CC; --muted:#78849B;
    --rule:#1E2B45; --accent:#5B9BFF; --accent-soft:#111E36;
    --navy:#EEF2F8; --navy-2:#B9C6E2;
    --blue:#5B9BFF; --blue-deep:#2E7BEA; --cyan:#3FD3F5;
    --sea:#0B1424; --land:#18243B; --land-line:#080F1F;
    --c1:#24406B; --c2:#33619F; --c3:#4682D1; --c4:#5B9BFF; --c5:#8FBCFF;
    --hl:var(--yellow);
    --fem:#EEF2F8; --masc:#3B5C8F;
    --shadow:none;
  }
}
:root[data-theme="dark"]{
  color-scheme: dark;
  --paper:#080F1F; --card:#0E182C; --sunk:#16223A;
  --ink:#EEF2F8; --ink-2:#A9B6CC; --muted:#78849B;
  --rule:#1E2B45; --accent:#5B9BFF; --accent-soft:#111E36;
  --navy:#EEF2F8; --navy-2:#B9C6E2;
  --blue:#5B9BFF; --blue-deep:#2E7BEA; --cyan:#3FD3F5;
  --sea:#0B1424; --land:#18243B; --land-line:#080F1F;
  --c1:#24406B; --c2:#33619F; --c3:#4682D1; --c4:#5B9BFF; --c5:#8FBCFF;
  --hl:var(--yellow);
  --fem:#EEF2F8; --masc:#3B5C8F;
  --shadow:none;
}
*{box-sizing:border-box}
body{
  margin:0; background:var(--paper); color:var(--ink);
  font-family:Corbel, Roboto, "Segoe UI", Candara, system-ui, -apple-system, sans-serif;
  font-size:17px; line-height:1.6; font-weight:400;
  -webkit-font-smoothing:antialiased;
}
.wrap{max-width:1180px; margin-inline:auto; padding-inline:22px}
h1,h2,h3{font-family:Corbel, Roboto, "Segoe UI", Candara, system-ui, -apple-system, sans-serif; margin:0; text-wrap:balance;
  font-weight:700; letter-spacing:-.005em}
h1{font-size:clamp(2.2rem,5vw,3.9rem); line-height:1.05}
h2{font-size:clamp(1.6rem,3vw,2.3rem); line-height:1.1}
h3{font-size:1.15rem; line-height:1.25}
p{margin:0}
.kicker{
  font-size:clamp(1rem,2.1vw,1.5rem); letter-spacing:.09em; text-transform:uppercase;
  font-weight:700; color:var(--ink); line-height:1.25;
}
.kicker::after{content:""; display:block; width:68px; height:5px;
  background:var(--yellow); margin-top:20px}
.lede{font-size:clamp(1.05rem,1.8vw,1.28rem); color:var(--ink-2); max-width:56ch; font-weight:300}
/* ---------------- top bar ---------------- */
.topbar{
  display:flex; align-items:center; justify-content:space-between; gap:16px;
  padding-block:22px; border-bottom:1px solid var(--rule);
}
.brand{display:flex; align-items:center; gap:18px; font-size:.9rem}
.logo{display:block; width:auto; height:46px}
.logo.ekke{height:66px}
.logo.owl{height:54px; transform-origin:52% 68%; animation:fly 4.2s ease-in-out infinite}
@keyframes fly{
  0%   {transform:translateY(0)     rotate(-3deg)}
  20%  {transform:translateY(-7px)  rotate(3deg)}
  40%  {transform:translateY(-2px)  rotate(-2deg)}
  60%  {transform:translateY(-9px)  rotate(4deg)}
  80%  {transform:translateY(-3px)  rotate(-1deg)}
  100% {transform:translateY(0)     rotate(-3deg)}
}
.logostrip img.owl-img{transform-origin:52% 68%; animation:fly 5.6s ease-in-out infinite}
/* the supplied artwork is dark-on-transparent, so on a dark ground it sits on
   its own light plate rather than being recoloured */
@media (prefers-color-scheme: dark){
  :root:not([data-theme="light"]) .plate{
    background:#FFFFFF; border-radius:4px; padding:5px 8px;
  }
}
:root[data-theme="dark"] .plate{background:#FFFFFF; border-radius:4px; padding:5px 8px}
.plate{display:inline-flex; align-items:center}
.wordmark{
  font-family:Corbel, Roboto, "Segoe UI", Candara, system-ui, -apple-system, sans-serif; font-weight:700; font-size:1.12rem;
  letter-spacing:.01em; text-transform:uppercase; color:var(--ink);
}
.brand .sep{width:1px; height:44px; background:var(--rule)}
.partner{display:flex; align-items:center; gap:11px; min-height:54px}
.partner .fallback{
  font-family:Corbel, Roboto, "Segoe UI", Candara, system-ui, -apple-system, sans-serif; font-weight:700; text-transform:uppercase;
  font-size:.86rem; line-height:1.1; letter-spacing:.04em; color:var(--ink-2);
}
.partner .fallback small{display:block; font-weight:400; letter-spacing:.02em;
  color:var(--muted); font-size:.68rem; text-transform:none}
.langs{display:flex; gap:0; border:1px solid var(--rule); border-radius:999px;
  overflow:hidden; background:var(--card)}
.langs button{
  font:inherit; font-size:.82rem; font-weight:600; padding:7px 15px; border:0;
  background:transparent; color:var(--ink-2); cursor:pointer; letter-spacing:.03em;
}
.langs button[aria-pressed="true"]{background:var(--navy); color:#fff}
.langs button:focus-visible{outline:2px solid var(--accent); outline-offset:-2px}
/* ---------------- hero ---------------- */
.heroband{background:var(--paper); border-bottom:1px solid var(--rule)}
.heroband .lede{font-weight:300}
.hero{padding-block:48px 44px; display:grid; gap:20px}
.eventline{
  display:inline-flex; align-items:center; gap:9px; align-self:start;
  background:var(--navy); color:var(--yellow); padding:10px 20px; border-radius:2px;
  font-family:Corbel, Roboto, "Segoe UI", Candara, system-ui, -apple-system, sans-serif;
  font-weight:700; letter-spacing:.05em; font-size:clamp(.95rem,1.5vw,1.15rem);
}
.counters{
  display:grid; grid-template-columns:repeat(auto-fit,minmax(138px,1fr));
  gap:1px; background:var(--rule); border:1px solid var(--rule); border-radius:var(--r);
  overflow:hidden; margin-top:16px;
}
.counter{background:var(--card); padding:16px 18px}
.counter b{
  display:block; font-family:Corbel, Roboto, "Segoe UI", Candara, system-ui, -apple-system, sans-serif; font-size:2.05rem; line-height:1; font-weight:600;
  font-variant-numeric:tabular-nums; letter-spacing:-.01em;
}
.counter span{font-size:.78rem; color:var(--muted); letter-spacing:.06em;
  text-transform:uppercase; font-weight:600}
/* ---------------- chapters ---------------- */
section.chapter{padding-block:56px; border-top:1px solid var(--rule)}
section.chapter:first-of-type{border-top:0}
.chead{display:grid; gap:11px; max-width:62ch; margin-bottom:30px}
.chapnum{
  font-family:Corbel, Roboto, "Segoe UI", Candara, system-ui, -apple-system, sans-serif; font-size:.9rem; font-weight:700; color:var(--ink-2);
  letter-spacing:.08em;
}
/* ---------------- map ---------------- */
.maprow{display:grid; grid-template-columns:1.32fr 1fr; gap:26px; align-items:start}
.mapcard{
  background:var(--sea); border:1px solid var(--rule); border-radius:var(--r);
  padding:10px; position:relative;
}
.mapcard svg{display:block; width:100%; height:auto}
.mapcard path{transition:fill .12s ease}
path.ctx{fill:var(--land); stroke:var(--land-line); stroke-width:.35}
path.co{stroke:var(--land-line); stroke-width:.45; cursor:pointer}
path.co:hover{fill:var(--blue) !important}
path.co.on{fill:var(--yellow) !important; stroke:var(--navy); stroke-width:.8;
  animation:pop .42s ease-out}
@keyframes pop{0%{opacity:.35} 60%{opacity:1} 100%{opacity:1}}
path.co:focus-visible{outline:none; stroke:var(--ink); stroke-width:1.2}
.maplegend{
  display:flex; flex-wrap:wrap; gap:9px 18px; align-items:center;
  margin-top:11px; font-size:.8rem; color:var(--ink-2);
}
.maplegend i{width:13px; height:13px; border-radius:3px; display:inline-block;
  margin-right:6px; vertical-align:-2px}
.panel{
  background:var(--card); border:1px solid var(--rule); border-radius:var(--r);
  padding:22px 22px 20px; min-height:330px;
}
.panel .pname{font-family:Corbel, Roboto, "Segoe UI", Candara, system-ui, -apple-system, sans-serif; font-size:1.7rem; font-weight:700;
  line-height:1.1}
.panel .ptag{font-size:.78rem; text-transform:uppercase; letter-spacing:.1em;
  color:var(--accent); font-weight:600; margin-bottom:3px}
.pblock{margin-top:18px; padding-top:16px; border-top:1px solid var(--rule)}
.pblock:first-of-type{border-top:0; padding-top:0}
.plabel{font-size:.8rem; text-transform:uppercase; letter-spacing:.1em;
  color:var(--muted); font-weight:600; margin-bottom:9px}
.chips{display:flex; flex-wrap:wrap; gap:7px}
.chip{
  background:var(--sunk); border-radius:999px; padding:5px 13px; font-size:.87rem;
  font-weight:500;
}
.chip b{color:var(--blue); font-weight:700}
.xnote{margin-top:10px; font-size:.76rem; line-height:1.45; color:var(--muted)}
.xnote b{color:var(--ink-2); font-weight:700}
.plist{display:grid; gap:7px; font-size:.92rem}
.plist div{display:flex; justify-content:space-between; gap:12px}
.plist span:last-child{color:var(--muted); font-variant-numeric:tabular-nums}
.hint{color:var(--muted); font-size:.95rem; font-weight:300}
.tbars{display:grid; gap:7px}
.tbar{
  display:grid; grid-template-columns:minmax(0,152px) 1fr 52px; gap:11px;
  align-items:center; font-size:.95rem;
}
.tbar .tname{color:var(--ink-2); overflow:hidden; text-overflow:ellipsis; white-space:nowrap}
.tbar .ttrack{background:var(--sunk); border-radius:4px; height:15px; overflow:hidden}
.tbar .tfill{display:block; height:100%; background:#A9C3E9; border-radius:3px;
  transform-origin:left center; animation:grow .5s cubic-bezier(.22,.9,.3,1) both}
@keyframes grow{from{transform:scaleX(0)} to{transform:scaleX(1)}}
.tbar .tval{text-align:right; color:var(--muted); font-variant-numeric:tabular-nums;
  font-size:.86rem}
.tbar.lead .tname{color:var(--ink); font-weight:700}
.tbar.lead .ttrack{height:20px}
.tbar.lead .tfill{background:var(--navy)}
.tbar.lead .tval{color:var(--ink); font-weight:700}
/* ---------------- country picker ---------------- */
.pickrow{display:flex; align-items:center; gap:10px; margin-top:12px; flex-wrap:wrap}
.picklabel{font-size:.8rem; color:var(--muted)}
#countryPick{
  font:inherit; font-size:.92rem; color:var(--ink); background:var(--card);
  border:1px solid var(--rule); border-radius:3px; padding:8px 11px; min-width:210px;
}
#countryPick:focus-visible{outline:2px solid var(--blue); outline-offset:1px}
/* ---------------- guess ---------------- */
.ask{padding:6px 0 4px}
.quiz{
  border:1px solid var(--rule); border-left:4px solid var(--yellow);
  padding:22px 22px 20px; margin-bottom:26px; background:var(--card);
}
.quizq{font-size:clamp(1.05rem,1.9vw,1.3rem); font-weight:700; color:var(--ink);
  line-height:1.3}
.ask .quizopts{margin-top:13px}
.ask .quizopts button{font-size:.95rem; padding:9px 15px}
.revealwrap{animation:reveal .45s ease-out}
@keyframes reveal{from{opacity:0; transform:translateY(8px)} to{opacity:1; transform:none}}
.answerline{
  margin:4px 0 14px; padding:11px 14px; background:var(--accent-soft);
  border-left:3px solid var(--yellow); font-size:.93rem; line-height:1.5;
}
.answerline b{font-weight:700}
.answerline .quizverdict{margin-right:5px}
.qskip{
  font:inherit; font-size:.85rem; background:transparent; border:0; padding:6px 0;
  color:var(--muted); text-decoration:underline; cursor:pointer; margin-top:10px;
}
.qskip:hover{color:var(--blue)}
/* bloc + topic map */
#camap svg{display:block; width:100%; height:auto; overflow:visible}
.caaxis{stroke:var(--rule); stroke-width:1}
.caaxis-label{font-size:11.5px; fill:var(--muted); font-weight:600}
.cabloc circle{fill:var(--navy); stroke:var(--card); stroke-width:2.5}
.cabloc text{font-size:14px; font-weight:700; fill:var(--navy); paint-order:stroke;
  stroke:var(--card); stroke-width:4px; stroke-linejoin:round}
.catopic rect{fill:var(--card); stroke:var(--blue); stroke-width:2}
.catopic text{font-size:12.5px; font-weight:500; fill:var(--ink-2); paint-order:stroke;
  stroke:var(--card); stroke-width:3.5px; stroke-linejoin:round}
.cabloc, .catopic{cursor:default}
.cabloc:hover circle{fill:var(--yellow)}
.catopic:hover rect{fill:var(--yellow); stroke:var(--navy)}
.calegend{display:flex; flex-wrap:wrap; gap:8px 20px; margin-top:12px;
  font-size:.82rem; color:var(--ink-2)}
.calegend i{display:inline-block; margin-right:7px; vertical-align:-1px}
.calegend i.b{width:13px; height:13px; border-radius:50%; background:var(--navy)}
.calegend i.t{width:11px; height:11px; border:2px solid var(--blue); background:var(--card)}
.quizhint{margin-top:6px; color:var(--muted); font-size:.88rem}
.quizopts{display:flex; flex-wrap:wrap; gap:9px; margin-top:16px}
.quizopts button{
  font:inherit; font-size:1rem; font-weight:500; padding:11px 20px; cursor:pointer;
  background:var(--card); color:var(--ink); border:1.5px solid var(--rule);
  border-radius:3px; transition:background .12s, border-color .12s;
}
.quizopts button:hover{border-color:var(--blue); background:var(--accent-soft)}
.quizopts button:focus-visible{outline:2px solid var(--blue); outline-offset:2px}
.quizopts button.right{background:var(--navy); border-color:var(--navy); color:#fff}
.quizopts button.wrong{background:var(--sunk); border-color:var(--rule);
  color:var(--muted); text-decoration:line-through}
.quizopts button[disabled]{cursor:default}
.quizout{margin-top:16px; font-size:1rem; line-height:1.55; color:var(--ink); max-width:70ch}
.quizout b{font-weight:700}
.quizverdict{font-weight:700; margin-right:6px}
.quizverdict.ok{color:#0B7A3B}
.quizagain{
  font:inherit; font-size:.88rem; margin-top:12px; padding:7px 15px; cursor:pointer;
  background:transparent; border:1px solid var(--rule); border-radius:3px;
  color:var(--ink-2);
}
.quizagain:hover{border-color:var(--blue); color:var(--blue)}
/* ---------------- charts ---------------- */
.chartcard{
  background:var(--card); border:1px solid var(--rule); border-radius:var(--r);
  padding:22px 20px 16px;
}
.chartcard svg{display:block; width:100%; height:auto; overflow:visible}
.twocol{display:grid; grid-template-columns:1.25fr 1fr; gap:24px; align-items:start}
.takeaway{
  margin-top:20px; padding:15px 0 15px 18px; background:transparent;
  border-left:4px solid var(--yellow); border-radius:0; font-size:.97rem; color:var(--ink); max-width:70ch;
}
.takeaway b{font-weight:700}
.tlegend{display:flex; flex-wrap:wrap; gap:8px 18px; margin-top:12px;
  font-size:.82rem; color:var(--ink-2)}
.tlegend i{width:16px; height:3px; border-radius:2px; display:inline-block;
  margin-right:7px; vertical-align:4px}
#blocLegend i{height:12px; border-radius:2px; vertical-align:-1px}
footer{border-top:1px solid var(--rule); padding-block:36px 52px;
  color:var(--ink-2); font-size:.92rem; font-weight:400}
.fproject{max-width:74ch; margin-top:10px; color:var(--ink-2)}
footer .fgrid{display:grid; grid-template-columns:repeat(auto-fit,minmax(230px,1fr));
  gap:22px; margin-top:16px}
.logostrip{
  display:flex; flex-wrap:wrap; align-items:center; gap:26px 46px;
  margin-top:34px; padding-top:26px; border-top:1px solid var(--rule);
}
.logostrip img{display:block; width:auto; height:100px}
.logostrip img.wordmark-img{height:32px}
.logostrip img.owl-img{height:62px}
footer h3{font-size:.98rem; margin-bottom:5px; font-family:Corbel, Roboto, "Segoe UI", Candara, system-ui, -apple-system, sans-serif;
  font-weight:700; color:var(--ink)}
#tip{
  position:fixed; pointer-events:none; z-index:60; opacity:0; transition:opacity .1s;
  background:var(--ink); color:var(--paper); padding:7px 11px; border-radius:7px;
  font-size:.82rem; font-weight:500; box-shadow:0 4px 16px rgba(0,0,0,.25);
}
@media (prefers-reduced-motion:reduce){
  *{transition:none!important; animation:none!important}
}
@media (max-width:640px){
  .logo.ekke{height:52px}
  .brand{gap:12px}
}
@media (max-width:900px){
  .maprow,.twocol{grid-template-columns:1fr}
  .panel{min-height:0}
}
</style>

<div class="wrap">
  <div class="topbar">
    <div class="brand">
      <span class="plate"><img class="logo ekke" 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" alt="Ινστιτούτο Κοινωνικών Ερευνών — ΕΚΚΕ"></span>
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UBlcHBww8jISPSVShTMTIVCobNQcK9Ipwu3O45z9Jv/9q0/O3zomBmLx0gpDyDGSX6iQTCgfQtKSXgusxCSVq9elc6XC56SPpTwmQ0FJTwo4UGTv7hxEU89q6QPMhla+vDhoaI0WNiioaVNP/bU087f/O3f/dVEJt/Y3Nz6p5OTkwlmbmfmriqeR5BEgc4upjFjAR+SvVO6YD2P3KNndAUiAbAJ5bN2nBDGxoYPAGj6xjf/9U+Y1f9TKIx3Vg+hSWADYLPKqOpoBSzBLKs0VddZmNDC5HK5jP379x8FsGz79u1yLsazY0f19fDxvtXDE2PEUrDLeoqWuMbwTqHVk/TmE8MnJjEfB2NiTP0JfpbSgiSTfV/j8OEjNoD7lfZXKaUSM7g3EREbBl0mhPGvuVzh2lKpBClM1ppAqKk5gdI0pw/Y9Nv1wQcfZABYuXLlaID6E859U0QUEkSNkL4PMFWnQIHOWz+fk//mmqlHSCoUC7xn3+5GAJ9TWuXmPiSBqFi3TDy1zDUMAwJAKRQKXRGLxRpm+LYsGrqpShXWFcrzr0kkwskf/OBnV//0p3eHLctRWlVJjFnXCbEciO8SBIlSqcRtbW1obW35wct7Xj5oWAJMekZfPIOfehYaij1o9qGhABLQADxfCScU1rt2Pdv21a9+9d2hkE1E9F/y+XxrpVKJ1wuqs10wVaOVPqXPjVnwHL3KepgBYUiUK6UiAJJEtwPiL4Sw1wQHRJzcRzGNVmo/8yldQJqmSGcy8Fz3BgDPz4dX7NhxW9WnY7A/PDYxAcMyadqRm4tWiabRGy/elszQWsGyLJnLZuF7/hUARkGikdnzZlNDfJ8PARg7evSYKJfLEFLC8165/9D27dvN04qVMxiOEAI1MLfWhRCL6jN4k17MGDBlBwAppdXk5GRHqpB9nj3euXXr1lcap2MRUfksqGWamYXv83DICe1Jp4vuN77+9TenUpMcCoXE6XAmqtqepZQyv2nT5Z3nb1h/Uy6bhxBCnG5/qtas+df9pA/MqZcLEUErJaQU/oMPPrTkV79+QEYizkCpVCqdOHHiCAChdRXhWey+13cpZ6WFOYGwYO5MRGkAPjN7Zyz5gWFIiUq5jAMHDwoA/czszDWWDRs2EAAcPXzMKxaKME3zjElkkQRavR2ZmU3LxN59+8YB3OS6lf2hUO6ZQAUJxKEdAgAmJyfDAD7nVsrnj42NsyGlFELgldJ0KpVa8AfUiDCbzep8Po90Oq1qvVgsolQqoVQqoVgsztrz+Tzy+QIKhQI8z7MAqEqxcsTX6hiBDGbWi1lDpRVisSi99OJL/PLLLze0tra+ddu2bXondsqFE81JVS2QLB4DwAMDA2MBuHxGC0xEeseOHeQWC7Zhw/nOf3zncwcOHEiEQiH4vk+CxAJmSNTZ2WUCuGtkdPSo7dg4HYVW8RyFQqEwte6FQmHq3+VyWTOzrmKF84hFhgHLtuWBgwf5+eee/ZRpOrsikUihpaUlBEATCZSKZeRyOZXL5XT9983Va/RRKpWQz+c5ny8gnU5zpVLhRQq2cg4wcJEqMUNKibGxMQD4yPDwcA2kPeVzt23b5jMz5QrZ15VKRUgpz/i7jTME+ESxWFSJeOxCAHfZdmgigIbrYhO2cEAEEwC8oaGhRPW/iYkW4Ot8FgFJpRQcx8Gll14qtNYwTFMGMDsKhYJbO+wRy3HELJtfLOW8cNgxc7mc7unpKQO4lwVLwbySSZ4R5xNCUrFUpOeff27V1Ze/TgDAZmxWZ3LXBGs+Dqg1a9asqdTjRmeAWZgBYJ1/8olnP3jnnV+RQghNREJrFei4NK+EENxoWQAbcvl8xpByXmZRBdA8NDc3o7m5WZdKJVcIAa5tn6/Mcrlsjo6OwnVdRKPRaT4n9d+tlAIRkSDi+++/P/SH733PH7a0tPwoEoncd+edd5of+9jHvKU9y8QNN7xR+r4nC4XCSbeBOVrZ85SnfR8Ah8Nhp1Kp6Fg8Jo4dPYHJiTQMw1gMCRDOzDt0Gvl4vq9s2+oBgI6OjkJg9fFnWEEwMTFxOYBd+/btS9c8kc9UczfOkKQgpaT+/gE7lcosD4eNkVxOheJxytfZtBkAGhoaYoDac/DQoTdLKXGuwwiJCL7vI5lMlv7py/90JOSEDhA4CiIXDFae+qHHflEC5Ff8vUqpiuu6ZFnW1FAN0ivKXvm4YRhNjY2NGwH02bYtIOVqsC8WvfoMCCnIL/v6yNGjTai6q88GpS9IvSIiKyBAPgvr5QGAqvAf3H333e8ZGxv329vbDdf1FjBNgvKVjsfjsqWlaR+AW3s3bGj//vd/iPmwJSLiUrlMt9xyc/Yzn/7z746Mp3aapql91o4UxjqAt2Sz2eKOHd8r/OIXv7i8r68PjuPMyjCUUhBCwnEclU6njZ///OfmBz/4wdiuXbvCR44cqSilcPNb3/qdt7/91h+6vnekUqkcdF2vwMxcv+cAUKMDK2x3GxItUNC+EJd4rkeJZCL74Q995GNjo0+3m+bJoLnTMAkCdJpZFl/pPhlSou9EHz3xxBN757FmIZvNHgKwJZlIXD4xOakaGxrkmUr1U05MM+Mh5lRoa2YrQTyZy+Dw8aMTmy66aNS2I9PiEXZU1RAFKeNFl9+SK1airtYcEpoU61l1zrNuw2Cjas4nASJWjiO/bdnichLyCwIYNgFCyHTqBvLCHP71IKK9zNwGwEylUr5hGJZW3nEhxdKFK4E8BXMQBHkVVqMj2caBsQlekGlvBuVprXU0GpODg4MPA2gjEmHmdCOA1GJjQx544AFj8+bNRiqV+nBDQ8P9//DFr/zeXd/ZrhJNzaLsKZCQAdQ3+xCVUpDCgBBCGIbUy5YtHwTwWD6TuSTwFpzu0s8nr1ftKZ2MxOTRA4cfAvCFRDLW6hiG7wIFC7gbwPea4pHU//mpP3vHrW+5Bbd/5COX9vf3k+PYpJmhSQQWCECQqF7d0hCpyRQOHNh/KYCvdnR0hDdt2lhiZsrlcl+PxuPjwd5OC0ScgyGXAZSDZX9sfDy9OiRhjw4NHLcd2c7wGVTHLFjOWBvtA4jnS+XP2Bb1P/XUU6NVFdJXVR8Of5F3NcN2HIyPT2B4eDgSWAmnveXAgQN2d3d3q5SywXXdjUePHpWWaYqauveKmMWC0S9Ug1rIEFwoFTEyPtoF4ES6nH99Qyj2QM1fYAu2AAAi0WjoyNH+A8VK+SppGkpBySoSLmZ3HTurTQRIPSANaSqtXBIq7KH0dIxio7M9sXUri2qg8MlORHuDyMERACO1g5h1i+vBapFsuuabIOA4ETp6+AQ/uPOxJmYWX/va18RinA+C2xDj4xP9ACJEZACmUx8evoDPmBKJM5nMeQ0NDcmnn376T371q/su9Hzth6Upq34xp1HGpYQUErlCjlav2UBLly7rB3AiHA3f5LqzA9o1ViYANogwOT4xRkS7Aeye8dbRrVu3ik984v8Ir1699Be/f+NNE3d9+1u/73u+FoYUJ/0vUAeEClFxK9p1vYsAtBYKhT1Vnk8awHgN1yGiEm9lccfUfte3qf0/CuBo7beDg4MEJC8yTdOqmtRP9a2Yhe+Ll557ac+1116bv/POO82T+LhetEAYqFtcqpQQDoe3APjRzPesXr2a8/n8fw2FQnc99dRT3ynkC5+W0pgGJp8TNYQZsExLDg8PM1cjMf+WKipT5y02dSoMoOHEiWNGLpuFaZpn4IZylloAoRPIUDDizDyBU+P61bZttQjQbTWIaMobNZifCD5O57zSGYv9SvkwTZMLhQI9/dRTG9972y0aZ+KkwwzTNK3qs8zz+aHOBWjW7oFcLrcCQO7rX//6f969ezfHYg3GQokriE5kZqbGpqZsQ0PDMIAYLdBGygBMyzSZWXzxi180P/GJT/gAeAdAWwAul7Hc90t7inmv7a1ve9uhhx59hPfv28e2IQNZl06hUSklJicmqFKpvK+lpWU/ER2ry/uhAVDA+Gfs+TSIsMZQa6KwHhgYcKpfsbi17urqCjFz4Wtf+9orI2UAggilYgl79+6dVbIAwJ7nfQfAM0p5f1NxKwSwr7U2zvjqrRHBrHbnwHmFmaG1DgJ6ai7lxGDG4cNHMgC2fve7383fcccdNCPDDgF4wK24V+RyueAyOekGS0Lg3LhJMLTWmjWHAXo8AWewioyTT0Sq1k93oIKbSNXrhK+Md7FMp9NKa/9yZu/NxWJxaSaTWXMG+tkZZxTL5/MXl0ql5ePj42+MRqPL/vZv/7b3ySefjIbDYV3b/9NYPaesMiCoSCSCXC633bbNrwN4bnRi4oDjhE4LcFbpgZiI9A9+8IPanugt1X3SjoMR31cjYxMTP129dtn3opGop7WWUkqec0kY2vM9pFKpXyeTyeMPPPCAQUS6nkYXso/BMwpV/xptWZZenNJYbb7v68XSjayCwzg1+rsaDLZ//3498wzVAhN9388BaO/vH4yl02mYpjn1OTVX7ure0pwXQs3lQAhxklnMYfWoTXLKJ+Fk0E01Gm1wcMAG0PTmW9+8fNu2bbom1tYWhYj6Dh85klOzEB1rDVXnnfnqsgswEVka+miQcOQ33kzTJCEF9Z04sWxgcOSdSql3EFELFucHfcagztatWwUzN/u+/09NTU2Z/fv3r3z88cc/UC6XlWVZsmYRXtj+MHxfs23bWLFs+TARTRLRQDqdmQiIdCGHck6gjojyDQ2xncuWdRwFsDeZTJDv+1UmxXNsODN8X2FycrLwu5jSsGYlCmhlZo4VWSgU0NDQcJ3WuuPjH/84B56cU5eH53n7o9Ho8WKxeE0ul4NhGKKeuRMRSuUSmPWczKJ2YXieN7sJpyZJeJ6H9vZ2tLa2wfW8gFlMcTZRKha1r9RSDTTEo/HW2UA6KSX27NkLMMMwpktAnuejq6sL5zC8gwmU+G0hBK0Z0UiUDh44wIcOHlgfjUYHyuVy6VwQNhHpO+64I+z7/rjrus8BuO7b3/7221944QXlOI6YaWmYTwJkMKSo3oDJRANe/4Y3+DW3ccM0jFdhf0O1G1cKUQ3znWVMhmmgUqlASnnpHKL6bzWjKJfL6O7uRlNTEwqFwrTLtmruZYyMjEQAlG677TZV8+QMMCvTcZzl+Xz+HcePn4hUKhVQ8Hw1PktB+T5WrVw5ZfqdDfjk4NyGQiGIqcg5FlNRdMwCQhIqbgndSzrR3t6CcrlQzdJAfrWzhuOE6dDBozw2OfZl+NhXj1nUxFzf9xPpdCrueR5PFzsVwhELvb3rIA0KPnvxYM9CMRbWmgBoAt93NtSIxakbJ3NzkOBqMh3JUNoDyGdfefT4448TgDXpdLrvlfhJLEYNIaL88HB2pLGx8YGvfOVrax/c+UizbUdY+SBmHeyHgpSAryrVf88WlAmCZg+en5OJZIgvvPC8F2s5Vs9WoB8zO8x8DXOuDUAl8NmBkMY89iLUMpz9rgkVU1JFZ1c7upd0wvPLEBIAKRAxfE+SViaPjaVoYiL10WKx+J6JiYnewE8GO3fuZCFEG4Ar8/lCTPmKKVgUL7j4NTPOO+/8KQYy14WgtYbruhBTjAInmYYgAWYF33cRi0XQ2tYMrX1UGVM1aE6zhuM4NDE+qdPp0rWxWCxdfwCDBB8MYGU4HF5VLpe5/hBorWGaktvaW7hSKQVBSa8Oszip50FbsF4+lxteE+8uuugiBjEzn2SKgTuKKFdKOHr0+FoAu+Px+IWvdtLhgJHLl19+2Vq6pOM9I8OT7//Vvb9+b1/fgAo5YaPOqAkhgFK5CMexISXAenYNSRiMSiUrOjpbqLOzbfdZHGswmHIHgJ2uopsBZKRRTYYyHy+q6dvpdPppANi8efPvFLNQ2odlmVi2rAee59adEYDIAthQvqvl6Mh4RygU6peSPrBz505mZtq8eTM3NDTcD+BuQCc835vKk1JzVbdtC13dXXBdd15nLa01yuXyXJ5kVLVbg2AYBpYvW861D6uJQoHLKReLRel57nvm0rOfee7FdcPDwzAMY9ol4/s+GhubaMmSHqoXkc5BC51LA4xpmiiXy7jqqquooaGRqmZEmi7mSYNPHD8ePXjw4Ia2trb9ZyFO5HSEyETkf/GLX+RQxCx94xvfuOHll3cb0WiUZoqiOpjDe9/7hxXbtqd03VPmqpkN00T3kp40gFdD1WNdFRG8xUKLRBT5XZMsOPAZAaAaGhqKNS/TWoi+Vj4cxxGTqUkMDQ+dB2DMMIz2a6+91g8kCwKAvr6+jf39A2xZFup9qnzfRyKRRFdX15TkNRfjlVIGasict3BVMFBKYUnPEiKiUxy3hBBcKpfx0osvP49q7sUp+W/37t3EzJTKZHuy2ewUqlsPwBiGnMxkss9ZllVFO89NO9cyKbuui66uznzPku4iB8BbPSotpdTjExPo7++/GUD7nj176FVkYNFKpXL+2NjYH955553L7rt3580/+9nPOoigKch5V9tn07I4m83y669+/UB3d9exiYlJCCln1SyqDmJRtLa09KGajPlVkAyFwBl48gkhfuf0ECKABKFcKXtd3V3pwGN1KlSCqHqRl0plDA8PxwDw5GT6T2uPb968WTHzhcPDw63Dw0NkWRbV9k0IgUqlgubmZiQSCfhKwTCMeSULrfXczIJZQ0qBQqGQN0zz7kQyCc/zpplplFIoFYs4dOggoZqdeKp1dnYSEXFff//SUrkM0zS5PnIQRGhpbS0XS4X9pmlC63OCchKqWa1ojoMkmdlkZmPXrl0m8y6TmY1X8oW+7+tYPI7R0bHHw5HILsOQpxCvlBLFYhGPPvoohcPhp2+44QYxG1h8NtSP0dFReJ73gVgs1jk5OXnLD374wzf29/d70WhUTuPkAIqFgu5ZupT+4tOfOv7Uk08KIoKYFesheJ7HsVgMLS0tPwlu/zOReH5DGQdOqjxT+8+7zGl91y4T2B3Qg3s24jtONxY2DBOFXD4fckIHotEolFJcIwkRYAxaKfT19RER7evp6ZmcAUjzwMBAWw0crc+zZpoWpCGPVFz3kYAR6bmsIbVuzM+RJSqViteUbBiOxWKYGB9HOByeuhWllFUvOCE2ACjWLzoRecx89S/ve+BPxsfHVTgUMqp++6IGVlNrS9sAmHKGYcBX/qw5P8/e4mtm5spcaeKDhVE4+2ZLcisubMfpvPXtb488+OADMAyDakE9qGY+EtlcWk1MTFxULBYvIKIXmVme6aGbB6cQra2tGBoa+kFHR8emf/u3f/vze+/9JRKJhFGpVKasVVTV9bVb8uiG628YWbti2XP5QuGjSvlaGoaoqr/1zE6gkCtTQ3IJX3jhhR6qJQ8WraNXKpXKOU58doqFaCGS59DQkAugoDXrV4u3MTNMw0Q6nS53dHT2xxMJ9Pf3c8hxwLrm1GdQNpfXSqlVzLyZiHbW5nHNNdcYRPTi5z//D82e51UB/To1RAiBlqbmImuesEwLrlthrU4FsOtTOxhz3b+BfVU7jhNesWpFRJDICyEifDKZQPUguK6fy+eTAN4A4HvB78Ojo6OrAfTu37dPe65LIhI5aRlQWjshS0hD704ko81KaxBJQg3LorNxXjmw3BC0VhwOxywB+6KSz39SyWd+nEwmJ2tu27U06syVdwHWJVqXNQRIwIKCyklkvkDUkltYvAUFAGaV5qQQIpPNIRJx1l6wYf3BxkQS6VQKoXD4pIsyE9lWGEeOnDBGhyc+45V5BxH9iJnX1mNErxSnAKDGx8cTLS0dN+x6+oXXfec/ftjDwlAQhgAEfK5aNogIhXwar7viMvFnH/vov+w9eCzed6xfmMLRvuvPZqpkKaSMRCMTHR0dl4+MjPzgpPgJTLO2BdTDIFRPmgYJiGK5iNXrVl0UxGpUznbdk9NJFESkPS5da8B5k9blU+uGCLCAQUp5k67rtgM4Go2G48oHpCFOOs7SmQiEAXBZP10iMPsIWbYTdpyfGaD3GiApGFAnNXZiZh4fG4sC+HixmOtyXXVPIpFI3XHHHXrnzp3xbdu29RSLRZihqNCBCkyBmrN+w3oTpCylXYBUtV5FTfoP3ieIQJoheF53b4LWmh3HsVtb2/KWZeaZORqYw6aJKCPDw0jnin5we/HQ0FDIsqyLAOzfs2df3rSsEJ8shgHNTJIYV77u0tZC3l1bLhURCcdJc82AcrYud1XdZVYcCkVMzbiAtW7yhXiCmbO7d+8WzKx3794t7rjjDu3p0odMgeuEqNUsIkD7wxDml89o8wO6MQyBilfWS7pa/7K7veuu8ZFRh2xmUYvK0gxDWtzfN4CHHn6k6cKLNtyTz5duBDBYJ42dsUQR7NmKcrl8eygU+gwzF+/69+9ef2D/EdXc0SY93wVDQAiC5yto9lU8GhHXXnPVD5ob47n/95+/cTg1NgmTLBaQ0DMu39r10dt7niWE+GxbW9uRrVu3GtVKXzOsbVN6DkEHsTtSgIpuCc3tzecBCKNa5IrOEaOgY8eOWdu3b/dY6Ysg8Z+FCNIinrKnBIaX1sy/BDAshJTMBGIx5ZmMqbQSi+BzhOoFM+1CqDJS1op6162d6GxrpxNHjkLazpSFTWsNy7LF4cOHy5OTkwdDIedaZv8xIpoEwHfccUeD67orlVJwhCQdGClcz4OUEl1d3flKqVRkVmBWQRmNk3nYahm+oXSVYcxN7gwppcjl8jpk4Mk1a9fYvu+fAnwYhoGx8XE8+9xzxfr6pUHQFRumaPFc1zcMSVNVTFiTbdu8Yf0GzawtPvvq+axinWGYedMUI02x2BAR+eedd55b/2rJ8PVVtVlWMyIQkSHtDqJqebhXctOx0gCwdN26tVmlFKiuVkA1x4YhM5mMn0pNrl+9evUlXkVdBOCyQqGgxBlyi1qGbmZOuG7l075feYaZ//kf/v4fb/rZz37GLS0twguCvKoVrximaaBULOLGm25Sf/RHf3wCwO7GlsZPpNNpmNWylqeyZKV0OBxBLBZ7FIDKZrOdvb29i41RgVJ+BcC5TsDMy5cvL992223KMiL/UN1/g05tNXoI3WhI+RyAe7Pp7IRhGFXH8lcB4WQGXNcjw0BbZ2dn0Q8sVdWAMAqcJ5VvWqYzNjYWDoXCfzEwMDBQw9kqlcpbK5WK7XmeVyuaRERQvq+j0SiWLOl+ORwOr/Z8H0TitAfQmO9yVErpSCQsAbyxs6NLn+KuXfXuosmJSXhu5XpmPj4xMSHC4XCeiPwXX3xx2dDgUIC0CtTcB5RSFIlEuKWl9VHLsq7VvuJXFbAAkdYKqVSqqxIKhfxy+f8aGhif1NAkgnSs1RRfHpjhC8FsmiZNTk6OGIblNzc3Hk0kEo+/EtFYVLPqRNesWbO3IdnQqpTSRCRrsTdSStLM9MILL3Z4FVztVdwngMjrpZSaXwGYRkS6UChEtHa/H40ms8eP9X39sceeiAT6uahfdSklSqWSXrlypXz7rW//W993H7Es5/LDh47EaqCaP0PqC1yquaWtAcuXL+8DgEwmM7Gjlil2UejzuUM3a3tZLpfXjI+Pv6VcLu+1LKszEok0lkoVnk3XkhIYGBjQpm2vcSocTiYbuw4fHYBlmWd93LUk0eFwyAEwKoV8KRQKXa6UUlIaMshYB8s0MTo6iv7+/oa1a9cu37Fjx4vlclkCwMTEhDMyMgrbtqexM6U1t7S2oqO9s3TkyNGUZZoLclwz5ruJmZkdJwQAfeFI+KlYLPamoJgx1YjLMk3kC3nks7nrAeySUsbK5fKBhoaGt+zfv3f3xOTklF977VYql8t67dq1MhGKPbLr6V3fTjYkP+R5ShFMebaZNDPDcRw6duwYPvKR29u15vZEKL7BmC07Evl1N6yJsfFxrFu7Dp/484//B4DHd+7cKbHo5ANTnycBPH7hRRde2NbeRsePH4dpmlMmMN/3EQmHxa5du8qDw0NXLW3puAtALhKJ/I1WShHR6VLu8Uxwrub2C2AonS7dBOC8//k/P5d/9tlnnUS8SSjFIHGyfktQLpBvuun3nrviikufnEhNvD4cxtDQ0GC77/tMBNJKT2NdlmWhVMpQS0sLetevfx5AOhQKrdixY8eu33LrZC0dwC3f//73/9ePfvQjtLa0wzQtaOY5by5mRqVSgee5GB6bhJTilSRHnrcFPi1WKOT86vOf//Idtm1DKb8WhFhlYIZJxWIJ/f2DCQApACKXyzEA9PX1FVKpyaoEwhonzeJahkIh7m5vesxxQldrrSGFqMdCThmHUuo01hApRKlUAoDVy5YuK5iWBdd1eQp0C/zvPc/DgYMH8wB+5Hk43zSJAXwzHI5szedzME2TagFjhmGwlIa0LTsP4LxwJNzg+X412/erpH5IKVAul3HgwAFmzdAVqFlDp8kLZgUypORyuay1D8P39CsOPPOVZgDWiuUrfx4OR65i5vZASpmS7IlICRKRhx98MLf0/e/SAN6XSqVZni7vW3BuiSg0s/BFLfMVM9/7ne98+9OPPf5YWzgU1lorquIJ1bQiUkhks1l63euuFLd/5Pa+UrnymXg0+uLRIydaxsbGItXaE76ceYqCeCGRSCT0shVL/VwuN9nc3Dx4ErP47W62bT/x7LPPFvfs2WP1x4bheVNu0bPeWpqZTNMg1loYTgjScgivggWnCgMYcCtuqVQqv/PBnY95tm0jn/cgJQVJiKpQQSadhuuWrgHw1m3btn0RgUtKOp1+Qyo1CcuyxHRTqKBEPF4B0CkERX1fsbDEnDdQnTVEBwrrqWzXlqbIpCaLAJ49b8P6iy0pOaeYag5WvqtgWpYolQogwhUAVhPxEiIRAaBHR8d6SqUSC2nSSTSfobXSS5b05ACsLBSKFSkE9KsSZ0kBUMuQ0oRp2qR8BcMxDUx5yqMuV4k/jUaEafpWyJFCvjL30oCb+wDWxpPOYxdc0Fvas2c3pDTY9zW5XnBbE8nh8VE9mUm/BYCtgROOY5DmmjRH04HCk58vABwtFivFaDSRq2OUMp/PXx2NRg+eGBj8/De/9Z3z8oWSjsZiQikNIgaRgkEE5bs6HrXFbVv+4JeNMfP40OTYnR2NLUsyhdxbRsfHtOnYpAkQkqDZn8KYPK8CX7m0cuVKNk2nqVAon18sFrObN29+Ydu2bfgdaJFQKGTGYjEKR6Ny9st1qjgbpJTwlarGw5wFK9V8cmIgtRShcX5nZ5dVs9wAAAsVVL9jMAns3X8wDWDZ3uPHO9cvXTrIzPJb3/qPi1KpHBzboYomgETNRM3rN6yzAawdGBh4JhwJL/VcV8+tDjF834eYMvNRXWcNgwSEZkhNrBR+v6O1nWLhCClPi2rNj2pxEq0AIgNHjx5TAEzTFC95nvcMgOQLL7wwVq/7VX3SBTGDL9l4cQeA/L59+w7ato1XpbIYV8dZG29trAoaihSm/tR+rhVWCrqrPWjBUK9QNdKa2TRME8ARAC1r1q5+pqEhiXLJZUM6IDKgCSBDkiKIJ599xi76WCUAuF7Rp1r5PKapOdVlWgcRmUR0sK2t7ZGaHwkRcalU6szlcnkAn/nSP33l9S/t3seRRII0AVpUC/6wrsCSit1yDr//e9dN3HrLTdtODJz4Vci23w9g09jE+OWT2QzIEESGEchd0+mFSOuLLrpAAPhFMpl8OBKJPPM7EOFZo8sO0zRN5Stm4lNoQJGeKnStQHCVhgZBvcpIbNUlW0EaMgSB77S1tY4uXboMvu+zNAQ0KWihoInBUvLIeMrUQLgplIwEeTvUkUPHc4asFvNiXS0gpBVzKGRTKGwdAnD5mjWrrslmslpKKeYbi2EY8wNnmhnSkJbytdfUFDvY3NRU1KxPwX5Ya85lszaAQjKZPEJE5wN4t+95F1QLC1VvZq01SsWiam1tkZWK+xiA/CUXXXResVQCzpnr3rl3+uGTtSNOANh54YUXHmtqatK+700bj9YatmnqE8eP2/v37XsAgKuUEvMh1YGff2WW70yWSqXujo4O5yc//el5Dz30UHs0GtXMmmpJjJgB23ZQKpe5s7OTP/ShDx9WSp2fiCbivvIPAEj+6Mc/PlQdO83Kz13XVe3t7SISjf0SQCGbzV5WKBQ2/i6oIEEzxbmLS1o8w/BUsZh33xVPhB6Px2M5z/PI99VU9QkhBPm+p5XWXeOp3LGWlvjItdde6zPzW0HUUyjkNRhUm6Pn+zqRTCKZSD4H4LDrevlqeYB5Kv0G4etivjfUYRd/B+DBru4lBQRVgus+mwCoQqEgh4eHP8rMSwzDyCqlfjU2PmbVu5kSERjgZCKJjraOgwAsw3pV8h2c1YP+ipE0QVRxKz6AVYVc5uO9vev3d3R0kNZa1tfhCOIxkMvlaPfuPVcACDuOQ3oOqFoQkeu6aGlpWcbM6/r6+lYPDQ3Vgqb8UCi0JpVKXfed//jOG4aHR3xDSlnLfFWrPeH7vmZmcdttt+1ftWrVPw4PD9/jOE6GwJMA2oqFwjrXdWctEhSUWeCGxkZ0dHX1Af4F8Xh8j+d5R7Zs2SJ/y5lEbWMP5XI5VwghfhN0yPOAqQBgmFIopVwA/c3NLUUhBNVvReC+IIaHhpBKpdYAWFrKeTcA+FA2k252XZd9paqxXYKglCLHcbBkSXcZwL25XDZtWRZpzfMyLSHEHMyCTh4Sz/PKzHgbgPYVK5YrVfUXmAp1RVX3oGw2iwMHDjCAhkQicd/Y2FgmFAonXM/zcDJhDrTWIhQJo6u7cwuA5/tO9B9xHAf8W8YxpgXO6bOQYj9wzytVKoMABi+++OJiAGSxr/z676V0Os0HDh5YDqBZKaWFEHTq8lSllVKphObmlksAvCkej1+VSCSamVm88MIL4VAodPFXv/KVjzz55JMyHo9LNYMgmFm7rksrV67sf9/73vf1EydO/Ly7u7vPcZyfRaKxxpHUaHZ8fDwepJWb0pGn4hNEFThetnQpd7V3PUJkfo+IMslkMlWrhPVb3GoM+Mnx8fGCNKT4TdDgnOnsTjKCROrE2D8C6FixcmV46gKre8Y0TS5XKpicmGgA8HoQLe/rG77r4KFDfigUErX7XQgBz/MQjUbR07NUAAhFotGWINKY5pp+LfBRLOTQQKMM4O6RkZG7WltbqeK6vgyi1JgZ0jCQSqWQyaSvBrAUwNLh4eE3njh+HOGQI3RdejbP86iro1MnksmdAKKmaUo+ZzFkU0q2WlAXQoFIk5D22SJQz1NFAF40FvtGR0cn3IqrLMuaMl9KKUkphf6+vnYA2XK5pIScXw3RWgWxCkAoFCoSkb7kkktG77777qZf/PKXHbZlKa3VNJqkao0PhMMhfOhDH3owHo+XpZRLmZl27dplOsK6Z/fuveVMNi0NacwV58cAjMbGJhUJyfuCQCx6tUyJr955ZR34nVRzsc7fg/eSPheaMzOrtqVtzQBeCoXsXzU3N0Pr6XkEiIiLhQKOHjvWDmC1E5F3jwyNdGrNphBCyak6WMRERIlksrCkq/ubGujNZrOHLMuEXoCjhZjvvzxP6ZaW1php4/sA3nz55ZetNKp+8FPeYABgSEnFYhnDw+MJAJcC6Dl69PhEoVCGYZhT6hAza8u2KV8qPBOS4jEAYa2UIq66xROfTT/O+sLBDGYPIF+Q8AUrV7KqnNp9V7LvSVa+1J4rlVuxte+JYrGw/ywNSsQS4ZsADGzadMmTsXjEK7tFwVpN+aQppRCJhOmFF17g/pHxt0XCSUv5NA2RnyPVfEhKdWgiU1zOzKsypdL5d337u7f2DQwqJxIVgIFa7A2zBkloz6+I6667Ln3LLbf8+8TExNKurq4+ALRp0yYPQCibza8bGR5j0zLEbGnra/4o69avNQAY9YmNfweYRG0B1yYSiSbf9wWBDe17VRqo73X0ov2K8NySYO0Kzy0H8Rx86utZkW4BrZUuKi8EYPny5csrQkAr5U+xqalbXwi89OKLGQAvA1g1Pjl+QSqVghAGfL86LAlAgKgxnswL4EYBfN1zvRItpCTl3FGn1QI9AiYFCUP3AggvX94VjkTCGJ9MT8v0XRVJDRw/2ldCtRjLB1Kp/Mpi0a0aI+rLrwiJjrb2IoCrAHzLgBBSA5JrXpRns5yIABFQcXPo6GzD9de/4QmtVMEi054esXsq7xRCOFop7l6yJGEIfR8AbN68+ZVQgQRQtkzj1tHR3Z/esKE3uW79Gtr98ssIR0PTdFDTtHh8fJwOHz4SF+TkBewo2JhxWKcl0FEAzBMnBp9v617+JQCxf/rSVzY8/9LuSDiW1BWfqfp89VnDIBTLOaxcuQwf/uiHv5F38/1CiH8vlUprQqHQE8HHPnP48Ikl5bKLWMymaoYvNY14PM/jeDxOXZ1dexCkuvuNIMivoHme57zlLW/Z2dPTg0QiYXqep+cEPLWGYVmObdvNvudNPPjI4+fvOXDQtmuJZah+q+ksMAuC0q4rhGrXWq+PRKznLVve5k2WhW3FoQLvX9M0qVQqcSabSwDYAOC+4eGhzlRqEqbhUDV+BZBMEEpjRU8PBNAFoMH3/RKomptmLuFiQSHqgU1WA7hsYmLi8WXLlm1ob++46dDhYxQOhRCEvkKQEKViURmGsRbAWgAPjQwPv4FZQwhjSuWvBr6YuOSSSyIAMufk+hDVxMDxeNzf+l//6tcACgC+W3dFz8plotHokXw+fzuA/mKx6APAmbgwz6InG54nbABNK5Yv329Z1gallIascqqaA4xSCk8//XRFCGlO6bWzCBTBrWIBMPfsgdvbG3507+HjH9u+fcc6pXwthClO0T/BWpAQb33b23atXr7y6bGxsWWRSMRxXff+UGiKcTW8+PzznmXZszKAWg3ZaDSqlyzpfgDATQD9W1COS/22M4mgDowxMTHR/853vvPj73znOy8DMARgP07eW7NJIykAbwPw5NDof9v1wsu7tWPbr7rq5bpuZuXKlZMrViyXAwODunYFB2n6RTqd1pFI+AoF/FQCzdlM5mLP82FHpPD94BxqxdFYjFasWDEB4GcAwrFopMt1XUjxSmJDArBNa60ANAshVtl26H7DMCaFkI1ExFPAGwGGaYq+vhMht6wbLUeE+/tPWK7rImSZVNN3fd/nRCKB1ta2fRqIinMRWVj9amWapjGWmbzZkMb/0opXhUwzVKlUZmMWZNs2HzlyJH7o0KG7Gxsbz29sbHwWAGrZk19hUyKcjAJ4eMmSJfubm5t7s4WCqnleBg4wJKXE7t17GuKxhpPlEk5lFGyaJhUKxSEAI1dd1XCeB3zizq9+9byRkRHd3NwsPM9FNfK2ynBM08TExAhuvOn6ykc++JHH0+l02TCMl7XWiWQymaoV2B2bzH3aV6rR91wVDofkzCDCgICps7OTOjo61+XK3u5TRJ7fbqBCEJFfLpfj6XS6NZ/P32fb9spIJHJBQBenzCMcDiOVSuVN04w3NTX1HDh06HA4HD4/sGPSqzRQAqBd17Xj8XiJGcelYSzVVfMF1VTXcDhMe/fu9cZHRk60tbX9yaFDh/JSyuaTEeJApeLqhsa4cD3ve4G6EvU8Py+lBF5JbEggCbBt2waA+xsbGw8AwAdu//M9lmW+vlgs6iDeAVxF5nUun5eDw0PfWrasazAcjnZUymUVScQl+4HvuVKUSCSQbEge8ZW6zJLSPxepkYiIpJSwLNtOhqN3LfLxvrO8+1441GAQUfrQob5vLelZ8vbnX3iRbCs0LRdiKBzCnj17OOREKR6PT0uoWlsw3/d1JBIRx44dexzA/s7Ozut2/PCnke3bt3vNzc1G7YBXGQUgBCGTSaklPUvku9/97v8QQMQzvSdbIi0jRHQ8KKFIzEwPP/ZUub+/nzQzz1Ebk6WU3N3dNZ4IW97IeCozwyT5Wy9ZAIBt2/scx9kT/Lp/Ic+Ojo72A+h1XbfyqpIvAczkm6aZzOfz304kEi/81V/91d889vgTIBAzuD5VHhcLBVEsly8CoJVWLaVSSdtWRADVnJue51I8HmNVUQ8Q0QsA8K/f/FbKNE245fJp900sgAMDgF1Duc8///wYQLAsa4p4WTO0UpzP5TExMXFVejSdHRkZhmXbYK2niFspLZLJpFq5YlWoXKk8B0Doc5SnvSrGsxMg9vJ0/dXbfmq2gzKlK1d2D6xbt57LlcopOSsMKZHNZGl4eGTefBZV7zpBAHQml3Puf+D+5VJK8n2fanmKpBRQioMcjiTf9rZbR994zbUDuUqu2y1wW11aAX377bd7RMQDQ4OXZTIZhMNhqjkAzfLdorOrOwVgH4OGfpeYxUymEdD36WjDqOVsAeALQefKm4uFEBYzv3HFihVly6oGu9XOp1IKUkrtKV8ePXrUB9RIpVyO1APNhmHA83y0trbRDb93faR2nmkREtFCJ8tExFJKFpJ+HQo70DrwIiMGQ8MJOaJvoA/ZbH5TplJ8x/6DB7Rl27IqLQkQiEkQWZaRiketvOuWY3iVk+fWLCwCBK/iagEMBIKGOl0/+9hJNY0Ia/VfHMcZHBsbux5Aa0tL03O2bcka0zxZThIQUswbtE1E5Ps+4rF4G4Do4cOHvYMHD7GUclodCK2rkoXrumhv78Qbrr6GxtKZtxLZL3a1thZs22Zm7mTm5iODg0uZueupJ5+yKhUPUhoUBK5Mk7SD0HreeMklTQBMYVIffodbkItFn4YmVN0BpHM8PgEg5zjO0/FYDEpV60USCQhhwDQtkU5lkc3lL51IZc87fPQobMcWGgpctQqzaQmh2R9tb295LkjSwfMf+ul9UclotdawbWN3IhnF0EAGZoACExHYEFzxfRw8ejjT0tl+a7ZYFJqYwZKqcQwM1grLli+FBCS07gNgvlqOMNXMvIBghiWkKGSyRe2pe1AtBZA/lxutNbNVVdn6HCdxDzMLx3F2Abht/fpVxxub4pdkC2WeLbh0PqmiFrJacV0PgNN34sQfjI+NUdURp977lCEEYFkWpVMZfPQjf9bS1tbW0trW2tvQkHjTP3zpK7jnvp0v9Pael29pau0AYNlO5IpstqAbGxqEUv7JEhBBsF25XNZLly2TLc0tOzXQEDGMQiCRMV5rZ7UppWCapiSix558/PEPRWMxDI9l2Qg7YNYQVQ9LyuVyGBlNtadzpesGR8dAhiAVBJxJwWyYvojG7JRt24PA/GHemk4yDBX0RWeuvup1rwvd/8BOHD92tKpmBHZewzBkKpWCYRo3ZbIZ5HJZNDY2ku8zCAJgDc3Ma1avMgH0CymuBDB0rtI5B+Yf8zdMzBQcKG2a5sZKqRS+ZONGFY3FM+OpbDwajU5ZmBaK0klpYGxsbBRAvr+/r7niVjC33ZxrXpd88OBB7N+/n0xL9t7zi7sRj8d7m5ubkUwkeN36de4Tjz9Bjm3TXFoiM4tkMomWlta9hZIbLfl+JBpIZMxMd9xxx2un/Cy2Gr7c2t7+aDKZ/E9KnRA0I6KDBGFiYiKye8+eZ0zT3Ki1nqo9XPUGlbjg/POdM42FWRSz2Lp1q1i7dtWIIFEGyEKdMa/mGNLX11f0fS/PjNZq5i8mIapgXEMyKRubml4A8CYhhQXAP8e533/jt15NxZmYmMgCONHY2PjMpo0b33rg0BESZ7AUSikkEokogOZ9+/ZJt+IiFA7Pr3sKQZFINYTEVxUtpUA+l+N0KgWttXzkkYftSDiBIEX8zJovCDK605IlS4bam+OP+4BhhKxOZh4eHR2NEtHwnXfeSa8d8bPTDCJBFmXT6fRl0WjUtUyzJA0jNEMoZ0GCjhw9kg1HQmXf96cV9lJKsWNZaGho3FMqleKbN28uPvjgg4sah5hLhD8p5p58y+bNm4UBTDiOXa4PvAmSh7IQAgf278+9/PLuQcex4bluNf88VU130WgUrc0tQwB+zIr3YK5QxldJLfltCi40DKN57969dwN4YdOmTSaCBKz1xafn43hBUhJSSsGuqjhOOp3u8ZXPtACXPB3UACUiwczCMAwZCoVkLBZDU1MzLMuaUoOmMwqBai5Kif6+vpb/9fl//Oz3f/CTT+19Yff7hoaG/iAcj68rl8vv+PCHP3yWcR+uZXL+/5yaw8xsWZbpuuoCKeXy9o4OUbN0ncS4WLhuBZZlny+kuCqXy6GWNKnq3KU5FA4jHo8dBpA8k1KOi5IsgtDX0JVXXhm99957VSQSkTUfACEESSlRLJXaIuVym+d5iEQjQvkECILn+VjS04OepUstD6pRSNGAM0hR97/J5gsAP3ccRxBR7tEnd32zp6fn/aMjIyrQTRfE/ACwZVmYSKWHUqnRrlKpCCkNxcyG0lVddi6VbPrP05H16j/m9kJkZliWheeff9548cUXL3GcEMKOufmmG6774Gc+85l35crlu++//34TQOUssnsJQBLI/v8aw1BVPUQIwY8CWLpixQqPiGwpJfu+P7VJlmWhv78PhcIpFQDhuR66ujqxdu1ak4hOfOELX7AXe/4Wi1kIAG+ybPPpSCRyhed5Sogq99KaYVk2Dh06zEcOH0EsFiffU2AlIIlZSiGV6000NTQ054pZgPkpAJFX03TKM/pvWQ07vXHjRq5UKuflK/6j3Z1d7+0/cYIc2wZrngoD4QXoVKGQIx59+DFzfHxcR8IhjeqpghAUWC2qgWOsNYQ8KbkQEfQZOVtWc2FEItFaiDsPDw/j0MGDw9FotAFAz5ve9KbAd0HXxUvwydoYp3iG01zMiQNz5YSG+hU0XoCEwwwNkAT/76/tGIZBQohSOp2WTU1NVxZL5f+Ix2MfYrBi1kY19QPDsi0cO3YMJ44T4vEEqhHi1XUVQhhaq1JHR2eZmcNEVHpVJYvgvP2wIRm5xHZM8lxVBVWrmB0MKaF8rpYroWq6RikELAjKFkq8Yc3aJgl8ya2U99vCWA8g/moyChWUrPAJ8KChf/tynLBlWYcaLWu4o6Xlr21ptsna2dYBEj0//kGVSgUtLS3JdDZ3+djoqHBd3wryVLCUUjmOQ8xEkgRpEFFQ6Geq1qog8GLivrgul4JiEAwhhcGOHaLe83oLADak0+lfx2Kx6ptkcDdS4KRa89mYZp0Osn/NUimyzryXAXBjwD26tSItyZbMEmB1OkPm7zRH8X1fSykjq1atepqZj55//nk/DodtpNJpqrp7yynHO9+rTpeEwMnUENXwgY62LhEKOcWdO3ee0UlY1EMDAwNhAGZXd/dQe3s7PM/jmRn8a0En07ECwY7jIB6LHwcw7kinUwh5OYCs+G1NU/TqA52Mav6aMoBVa9eu3WNbFnzf14upisDMkESd11137f2f/exn977jHe94efO1m0u9vb20fNkygwiyXC6JSqVEpVJRlUtFpZSrhIAyTcFC0inWl4VjztVnXddT0WgUXV3dzwJ47tChQ0e3bt16Vh3bZsReLIpmtNa/0+puDXpIp9MbAaxqa23bG4lGUKlUeGax8qnzx9PQHiYS6F7SlQPwEwDla665ZtH7syjJolwumyW31Lhs2dJKMpnQvq+ITpfcmAjFUlE7ti3jicQBABUiFWMWld91jn82VJHg9eC1m6/rvevf7+JUKiUWwXCqsQGsrc7O7qNvf/s7Pvv2t78jBeCqsbGxo0NDQ6ueeeaZ9alU6qIDB46FPddrPXLkCHK5HFy3gnyhBC0AkkJbpsnSMIiZhVIKi3FOZGYRjUb5sssubQZQ2bhx4xU7d+587GwyCiLioaGh1lgsJgBMLmKNYNt27H+TC6bd9yu0fNnyp1pbW/XRo8cWyCyVDofDMhwJvwTg+JmatRfFLFasWJEr+JV0IpYYTsQTrLUWp7uFWGv4ntJNTU1SGuZ9RPQoAGQyqUYA4XPl7n2WRVJiZsp5pbM1JndJd9evly5d9u7R0VHYjgNWp8cSWGtt2ZYYHBzaC+Dw2NhwZ6nkPuU4ziNtbW35qggqoJQSAIxstvhP46Oj65974YXsi88/b3nKv2LfoUP2+MSkUSgWUSqW4LoVmIYBpRUMwzwlrWAt2rSWak1rDd/30dzcjHA48iUAPz1x4oSBuSM3z2i/mNlIp9Nh3/czAK6pVCqSwVzFd2YLjGWwZgqFQujq6vpPAL4yNjbGszGhV0I/58KYF7hzI5FI/Dz4ziSIMkKIhiC0fE4PhCBHKyIRGytWrASAC97znvfc/+1vf3vRFeMWxSx2795tLFm+ZI1h2LqxqdFVWoUoKG47n2ShtEJTczMuuKDX+o2BA9VNFTUEuK4GKC1goXgGgfkAkHWLZ4XR7d69O9Lb25vv7u48+vRTWE5zZLeZa16GYdoASpZlGaFQNB+LxfLbt2+XK1asEJs2bVJ33HGH9clPfvLd0Wj0xytWLbtnxaplT/zBH7y1GUAxV3avyeXyb33wwYcKo+Pjy355zz2bDh06ZJiGNZ/EWCtTSZZlUSqVxtq1a2n58uXujh07aMuWLd6OHTsWLeYGJt96d+qqZf2ZZ4xyb2+3EHy+adrJsbH0lblsTggSvud7BpnilEMrqBrT7Ni2isVi20+3r6dTfWrzBaB93zdQjWv6TVll9JpVq8Xjjz8xxbBPg3kgHI4jFos8BOD47bff7m/dutU8K34Wc7Xe3l7FxEMAVEtzy7FYJAqllJ4XkWYNgha2Y+pVq1a+fI5ZRLDpmk3TIs3I5YEEMxt1wVN8uj7zJsrn8+3MLIkojFdgxguYlejt7Z0A0H/dddczCeKpkPQFMgvLMm0AFjN04DdBW7Zs0Rs3bvQB6DvuuEOEQlbC98sF13XNHTt2pMbHx+10euINjmnFOlsaj737HW/7yz//yAe/3NnRKYqFojJMCZ5KtnOyExjVymS+KJeKlM9ntWlKbm5qGgXwug0bNrQIIbizs5MWe3O5rluoQaJBvgkHAGjTJs9xnOOe1k2hUOiihx9+eMORY0dh2qYgqvqMzArFCiFdz0uFQqHDW7duFVu2bNEAMDk5mQCAQoE7T7c/M+r36qGhoYjWehRAIRwOW+eaYdTsZEuXLi3Onr9zxn4RwKyFbdtq3bp1a1zX/QgA3rx5szid+EQzfjYWuaFqcnKygBD+YcWSnpsNEMjXIA7KWcxCHtJQLE1XJhKOl0zGHju3y+oBJOD7nk42NNkWzEvL2Xzk8NGRLx8/ftxYiAoUDodx9913p//kT/7E3bx5sxgdHV3h+34il8u9mSyKa+hDJF5xESKPmX+8YvnyDS0tLcsmJydh2zadbnBSSpnNZ7FixYrrAdxHJHNBBV+uF7GJqJjJZP49Ho+n64Lkns5ms8cklb9cKlV2hcPJI4899sTNo4ODImRYPqtqysnp4xTsuyVavXJ5atWaNXsnxsY3jI2PJgf6B/C6Ky9tAVDu7e0d1Vobd9xxx4IPke/7Kh6PG88//8KvANwwMj5ixSNxO5tNlbVWg4VC9tPpXO6HTcmmlQAGfvTzn//p6OQYR2NxobUCzRYkHJQ6WLlihQKwbNu2bVzT1YlCjRMT+SvS6dH8T37yk/Qtt9xSninJvfjii/G2tja7WCwGz5QojGZU/EqraZrLAFzW2dG+/plnn0c8Xi3adC7aF7/wBeuTQuS+8OU772lqbPpPhUJemaZ5MkP+DKrRrFhplxKJRKa5ufXPCoXCX4+NjcVaWlry8+vZ1QrqBEDqal90bIhlSQ2AtI8fd7S1b+jrG1KW5Qie414XUqJcKaK7u9sAED7XkkVQu5TcSgXRSGhdFHiq+cJoN4Algf5EpxFN6I//+I/v+8AHPqAffvhh3dLSkszn82HBIqU1FUmwWXWMOOMmAOhi3n13T0/3ia7OruLIyEg0EY9zsVKhhfBEIYR5OikxkUhM1MDI4NaWRDTmq+KNhmmuAvC5wcGBDeNjYwiHQlO1MacRkCCUSgV9zdVXeX/xn//PTwG4bHBwsPfw4cMrLrjggo0AfhqEfOutW7cuiLaCuCKRzWb1pk2XngfgZ90d3d8MkrUQgI8D2B8Gmp545vmub33r2x994snHjWgsBj1PGTvf81Q4HJYtzc33Axg/cOBAjIiyQe3XEID1QOQXnZ03KyFELUw98E1hnH/++T2oJp+u1c2uqSETAK4GUIrF4qS0nrWI8qvVVq9eDWbG+vXrRTKZRDabgWmap31u6dKlQLV27qcikYjesmWL2LFjx6KcbBbFLJhZplKpxyIRvGHDhg1+IpnAsWP9mKs0JAFwXVdHozFJRI8BGD7XNTC11giHwzQyMkKf/i9/2VEplz4Mz//D0dHRgdoVfDpFxnHsT77//e8XnufR3//9349++tOf/qfBwcE9scbktYAcPNMCSYEnpyoW3Svdsm8lGkJLLrjwgsxzzz8fqVQW5vxYBRx1BaeJs6lJGrX8DQA0M5PS5SOa9X5mtr761TtfXyqVQEIGOTdnrKVS7DgOdS3p2QdgSyqViiSTydTVV1/9L5VK5fMAXmLmmO/7Gw3DeHAh5QuDUAFBRPz0rqfO+/NPH/vMe971/o+SAP/Zn32qSQgyCoWi19TYdP5DTzyOsfFxhEMhzJGQZ6oeSrlSEZ3tLfTmm2+OAjjR2tpqbN26VQDwf/zDu7+4Z+/LV6Uz2Y+NDo8O/NEffbDO3bH68p73vL/seZ5PM2ghZNuOZTuR9vbWtr37DkjbsvhcYvStra0aABLJ5p85IeeP57sk6tWUZcuWAkCMiCYA4Jprrlm0oLDYBzgSCf23SqWwc+myngurXmJKGIaEO4spO8gEx5FIBEt6eiaIqHwmbqavFNg0DIMmJyfxox/+oJmEbHZIwjStCxcKfvuqBCGAfD6PZDKpATxuGMZPwNzChBP0Cm4WIuJCoaAJ/ByA759/wflrYrFYp+e5zEQEYcwJiyilVDQaNY4fP/ZrAEeI9LJwePZMNbOAeUREulhOf8/3VYdtRt4/NDS8ZDKVQkOyUWqlQeZJxx4pBMqVCuLRGK1cudIC8IwQYiISifxqYGCgB8B4V1cXM3PBMIyn7rjjjgVXnGdmRCIRevqpp6Uh5EUmGSAAtXoqBEKukNfhRJTCoRB8f3a+OFXbhBmu69L6detTq1atyo+OjrqVSqW0Z88esixT//e//L+b/+Vf/8UJh8OrDcNYPa0MR1ADd6a/0EkIjuErv5rqUABVp7dzB1ts3LgRAHDpheuONzc18d7AMjXbGKrJn00Ypomenh4FYAuAry7yAE1ZwMQiDh0RkfY89YDWHI1Enedjsajvui7Nf+v5ZNsOVixfDmZe2dHRcVYYxeDgIC+GYViWhWg0xuFQWJtGSENLBa7rOug881UoIqFIkC+EUEKINABfa+0LojjzmSenrakDkUjkScO0mgDsc5zoX3d3d1OlUtZVgl0QMFgJDiYtjo+yAGizbdk3ViqlzhMnjkdFVfoIZO465zoh4LquXrp0KTo6Op5G1aFugJmpq6vrRFdXV7E2JyIqnglTD4fDsG1HG9JWUtrKtiLasaPatiPc3NwuTNMkFVTXmluqEGBm1dHZQddff8MzAP5f27YvaGhoiG/ZsgUggh2yvUQigXAo7AkiJUSQ4AamIqp2sDErbRCZyjRDOuTE2LbDCwSizyoz8QOA9tbW1laaz33Bsiy4rqtaW1ogLeteAMfS6fRtqVQq+eCDD6pF0OmirCGBmfGALSXguq4E8EhHR0fZtm0x14IIQfA8D7FYFMnGxkcA9M6f9Hbhi7p582ZjMYcjCJIirbVgJsEQkrmuI+g885UkIGQ1kKnWQUIIgyF8OsXdkrFIBqyy2WyzMGR7KlW48rrNb1jV0NAw6ftKGoaxIBHXMAwTi7Rsoeo9qgXwecM0nh0eHr5yfGwMtm3rQBo75SB4vo8VK1agu7tbTmYysXg8vqc2j7OR3VprDa1ZMEMGXWgNoTVT1UJUj83Xda4i/8waBOhSqSQuv+xS921vu/lvUqnUPiJ6Tmvt7969m2vjVUpBaSWCchp1XUiwkMActMEkWUNojdNIFFxnvpDibHEMIuKJYjEO4IhhmHssy8JUhapTpCCNSqVC8Xgca1evtT3PO19rmFLKRed18TwPokaMp3An8gHyICUDQL5czq7TWHHIcSidSDT+CMAjtm096zgOPM9TJGrPqPrOAEQkEi2vXrnSGx0dfeokUTk1TD/YdBVYL+YXPGpuxBdffPEtAJorFc9bHGTAUNKDku4CuwciG5LDkOSAWSgA4Ugk9AdCCBe+LU5GaAZzWKCwUVMNYrFY2nHE/5Iy8rhp46vrN6zKCakI0FPMot7gQiefl/l8HsuXL78ewEpmUSoWF5cX0nW1LWB/+9ixE2JoeBimRdBcCcymJ+30zBpgNtra2hjAz91S6dj4+Hh3vQl6Vo4kBISoiskLYXxMOtgfr26fPGhSkMqc0S1IZUCgAqFLsITPucwoetcto3ffdusnhRA7DcMoxuPxvTWAF8zQVI0bOqVLtWCaUNKFnsNeJYSuFrMTWhSLRXR2dvcCOGrbtj/b+mhe1AVjrOrqGgJQWrtiJUnNgK+4ZrGo76QY8Hxqiid56ZKefzFN81/37dvzg1gsNlHDLCQDxizPirpgQ9/356l1WmevDUivIqW1QkB2u2CXiMpEVFq1ajWi0SiU0tNSuJ2MMAQ8z+MlS5aUbdu+u7W1dRzT03nx7DbiBR00+wwwl+BbFvenKjyIekFGElH01AHz6eZAc8zFJ6KJRIImiCjT0dH+69bWVlQqJb2Q29gwjAgAybUMvQu2LQOlknsEQPbo0aNLqyHukoSgkwFfAUETkU4mk0gkk08E0oxqamrKzscoztyGdeqfKR+PaV2DwBDEIGJdKORUW2uL/uSff+JnV1xxGb300ktWPB4fD6wgtG3bNp7dG6HWF/dnXlolrgdcTQC+UTBm1nBZ8LqZpqmn+GnVKfBnS3t6VNgJQ/k+RCDi1ncpBLTSWLliBRkGskQ0eeWVV5brQO76oU57diZDsyzrVGZRA4imcmtOyX7sAtCEqtMPAHR2dB2LxaLwfb96a8yCOXmey+vXr08CuG5ycvKNNe/HwOwlT7dgswFNQZblGIBysVgsL9oYwYvrtfWojpsZQDEQH4gIFi9cpPPnU0keeOABg5mNq6++erStrQ2ViktE88feSCnheX4WQFRKycy8UEyIBwYGwrZttwPoeemllyyttTIMg03TZFGXD1QIgWKxpKPRKGwnfA+AXmEYF2ez2fba2OccnzhL8WTE1fyfpKYkWMMEpAGUSiXfdT1x3nnnGX/913/96+uvv/7OkZGRlvb29pYgY7eoZ2j1N/kp5LdI2ljo6AGI3c7uYj0NB+rjvLhHIJV5vu/X6u3qXC7XCmBlT0+P2drWNqdlKEiyTclkMgNgMtgnmu3MT539OabFzBCmaUJKOVUJyzAMmKYx9bMQNYFEiUA7WZbL5a4GgHgs9suOjk4Yhqlty6pypVp59sB1LJFICCnlUwAKQojwjAUctG3bFIKmmIIUAqZpTnUigmWakNJkANi2bZs/NDTUIIR4EcBjl1266cpKNZU+VdPiGzAMY2pOs3a5uC4No5ZvVDc0JMMArg6Ho3/jVvxnIXGDV6kULMua9t21Hmw4G4bhA1g5n4Rx7bXX+gcPHgyvWLGiEI/HUqZpSMsyWUoKfEaCdQr2SgjJpmmiUqnkADxRLpcLWmt/gfiB6OzsrAghouVy2fQ8b3mxWJSFQkGmUinKZjJ+zXsxKI/I3UuWYEPvhuMA7hodHv5OPB4/cjrJwvV8DsowQEpZReeDdVpID5LRBrSoWSlXV/O6eDqbTevJ1Bh6epYat9xyS99nP/vZL914441/+swzzzwciUS+0tzcPBDcxLqe7AzTnKKFqTWt0e0iaaOeruo/Kxg/W5bFSukUgG9e1XjVRcwsBwcHFYB4KBRKep6HkBOeOm+GIaddkKZlGoZhmJ6n16bT6YZgT0S5rLck4olf+75XklKK4PfTnlVKcTQaRSQaHa5aywinShXEtmPXrIaQQkDWzaVOsoSRSqWmiNowjGoaPWaYJJFKpVAsFGvcyAxAMcc0TQcAVq9bJpTS5cnJCdPxbGZS9b708DxftzQmjEgk8jKAQ57njde4WyZTfhDAhiXdPevGxyeYqGqz0hRkFg7sWVJKuK4H33ctANiyZQt1dHRUBgcHm2Kx2GAyGb9oZGQEpmUJqoprZ99e5ZZgSAPjE+OolCsOgH/NpiY+Kq1ogogelYbx0VQqxQGAChWkrAvER87nC5TP50sA9p0OBRVCtAF4sbGx6XGl1O+nM1lFgFFl/jxlSiQfINJaGiT6+/t2A1gNYDIWi+VrZtEFqHIqnU7nDcPY+IEPfODeiy++2B4ZGVlz+PDhtmyxYuw/cBC5XA6hUEhmMhlJQGbThec9RDRVI+S0rVwuWpOpFHL5PBdLpUW7pNQkK608RGyDLMukdCaL1tYWWrN2Bd7whmv83t7e/3H99de/rJRq3r179+SmTZsyc5qMmVEoFJBKpRAOh6clSK4dildipgeq+r4E1Uz2DHATgPeV/NI/xxHXvb29AoBXKpXc2likHZnaX6VUIM0V4FYqIcMQl/i++2+JRCIfJHxOZ1KFcrIxOdTc3KT27NnDkUh0Nic1JiJqaW7ZDaCLmY/XgO0pUVf71tjYODyvAsMwa6kWa6UeIIRAPp9HoVCAcd111wWLVDufFDALA6VigVatXpUHUGamMUDvY+b8SS0HL11wwflFwzAbzZCEqyp1qgvB932jpTGJjRs3tufz+deVy+Uf1/yghOAuABXLNI/feOONVC6XpBAEFqKa5gkEXbUhSwYQTyQGAOCGG24QmUxGhkIhDeCStvb2yo1vfCMM06D6A1XLtXBWmidgkKBsPk2r16zOAniz53lPhuP2hIT+4Lq16yYdx2kOOQ40a2jNYK1RzaupyLQsGFK+DGAscAyatWwiM2N8fDwJ4Ib3vOc93cVSBflSNRMSEeoqkhEMlmD2ZShso2fJ0gyAHscxjh87dgzLli3jhTAKZrYymcwB13XNCy+88LELL7wwB+BCAJXRyXT7gQMHewvF0tvvueeeR8fHxq644sorHAQFpwKimxPJ7e3trYK3kejgDddfj0qlbFZrXCwq9B1K+TBNC5Gwg2I2NaK16r/xxhsvaGlp3blp0yXHQ6HoKIDPFQqF12utG3t7e93A2Y1nk3iU1li9erV84xvfCCLI+qhVIeQropmpNIaaQVpDCIlCoUDLli3NADh05MiRoY6ODv7v//2/05YtW3RnZyeuu+5ajI5NGtJ26lRdDSJBvueis7W5Uql4R5VSV6ZSqZGGhoYsAGnaxh4h0H7NNdcMA1gViUROyWtRqbiypaUF3d3dwwA8AKhFp2/evBkPPvgg4vFE/xvfeAMKhbxRP/8qs9AgEqhUKujs7AQx8/rTrEGeqFpAhvllC+jF+Pi43dLSkstmsy2xWKwB89QgqFQA28Z4KpVyGxoaSkTk1rwJM5nM6ng87qHqfjsfwkB9fX3Henp6SgERxQEUS6VSZygUYgDRc+UUUywWc57nOclk8tDY2FisubnZCdDPxvnGH4iBlfnComv/NzIy0t7a2mpj4e7xlUKhUIxGo8OLCbuuHfpMJrN0eHg4u27duvHnn3++9aKLLhoN/n8FAGEY8pDvq1WVCkzbxiEi8hYjGWit156BaXe2NRyNRCIThUJhJYC+UqnUFg6H+/r7+5u6u7unubPP92El5uXOSXPcuWjZiYmJ3OTkZGXNmjUVoJpIqqGhoSUUCp1uj93JyUmHmfuam5uzddHSFgALVXf0paf7/t27MXbeeeTO4sDmAFh+GryF0+ncNxblE3B21+93O3lirR7DIp+hc7/Oix/f1q1bxfbt2+svAPG/0z681hbfJiYm7p1a8Ll6IDZPI6b61/mereuzOu0wM23dulUs9DNmG8cinj8rPfi++vnTAtdhMQ5ktIi1nTamMz1wM/e2ni5m/nyGn382OtWPt25si5r7b5JmZtnnBT078/mzRXsLeF4ysxgfH78f+Xz+xtc49GvttfZam0/anJiY+LUQQjTPZ857rb3WXmuvtZou+loh29faa+21dnpmEQqFfh38rF9bjtfaa+21Nlf7/wPr6ChqAPikFAAAAABJRU5ErkJggg==" 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KFlYADa9d5d6hMYHjJQ4ROg3M+1ZpAURqKrw2nVhT++fEXP926eQc4sfnfWm5mJGltE5J5G9YP/rP7rm8HKw8lKKTBJloTCtINJG3tzT+RFHIbS6CgMIlYQAKkBIGeGIWVgn3Uf+QJYZg7+5hdPfF+u6wnbRQFeud8QAaWxJwyTdiMyvT+y54ldfkE4pMKPSYU+lJoCfkGwNSPmMlamHDzXY6PPVpACRntXr3tdxv+r29bEX/0S0dO5kPIdw9QosyCAwvc0qnOfW/3Xu6zSrzl2UglAaknw2QqTN/ZAMkN5GVAQA0oS1pUXAHpnxtW9r5bjRQcA4ier0vOMlzfXBzIpXSCEGLq+A8unFYFsdydgUI5MMed8O+88ozu+591FFgArRqlP4otDQhgWlLA0oHIZSCKg3EeoDvgxo9iHR9qzeLHXIkM4YoslI9e0cQtz1x4Rz/zrBoBj5r/+15syJV9LJFMOEUwNgqEYUzb1wO+4cKUAsReCm67G2ooIkgETQmlsJ8sTwdGMfTZ1zsyBczereevufLm+ftFSJ1NVYvr6kqho7wWE6DeXA805szdpEAQSQKEhIHOvZ5iRUbzN9+fegz0EBwFgDRSZEl8fHkaZKRB3GSIPtNz7HAZslyEF0FATRMgQWNiZEcLJqJcS4cqjXpQPM/OJ1NKS2B3xjLay0UTkcnrzsGOeTv9pHoqOt1IZVxCb3qMzJm3sQVHahmN4gAAAoQHLlNhQGkZ5IovusH97OykE1L5WozkQEN9YkX743+sy9Wff/YTrC/hM0ZdEKJnFiLe2AFqDQf0TwdoblcqAxPgCE6NCBiImISJF/6RZmpFVjDZLY0PGxetJFzFbAeSV++s9QIYAcGpNEBU+gaTLkP0PwDqnlRGIBJFnuVOKcWKVH7bWWNRtS7JS7vNq0MzvvNrzB7Ox8UvnLmYTgLOdfN3aajTVk7t68eJhRz+befKZQOUYKxl3CTAYAEuBsZt6UZ7Iwh4ACCbApzRWDSqG39UI2ApcKEDu9q524LjtU4BofDU+776YnK06293SjG2Ud8dR1BHD8I2dUGD8+/N1ABhae+Zh/4iJI0r9GByUCEqCYkAzQ/H2pl8AMIhABMQdxqqkg//0WtiSVoAk0G54hyCPPE4v9aOxJtgPCGbNGsT+UFiQkHAdG242wwYRM5HIf5aPCDdtSGFD2gWYnUhpqXlOcfb7V08s/8OsVjYW1pObizslGkk9tHj5wT/eJG57M1w5Btm0QwQTDLBBGNUWx+jOxPaAACCZkTENLBpTidrNvdhUGkYs5POiKQCCCNpycKTq2jdAMRAQpy2Nz3swLmc7fd0uTGlACEDmbgBwXAhHQWtGsSlwwqAgaiNe7snW7HEr2rV+gAE8QxI8csiM53psPNGZhasZJGknLkIAJIBvjyhAlV/AYQBas/D7KeTzgbLpl4IScQWqUT7/2Litoa2sIiKp4f2dzRkXN65LgYmZhakHhfzpn1XjxO+NK306ymw0LVgA1Ne7v1+04oy/pwJ3LHX8RMrWDBKU0yKGdiUxbmsMjtx+tTMBfkfjpeFlsA2BiZv7sGh0xXYAF0TQtoOD7c69330MBMSJL8fmzY8bs91Yt0uGNFgzSLkge8C0CoLWwJiwiVNrgijzCaRVbjUM0A52F4n0R2cA0srjBHPK/RgVMnDXljR6LAUht7kT4c0/hoRNDApI2JpBWjP7fFQZMLccUICLjxxSdJvDDGYOvO5i9gtd1rVbjfAYK5nUUghhKcawkIFJRSZe6bXJgENtlhG5sQN35xTPmAHgrIdeOvPqWPCOja6hiRwPojlAlMUyGNsWg7sLQJiuRltREF1FQRy8ugOxoAmW27uOfA8CS+3lCbGBgDjqxd55jyWM2W682yVDGP3FLjn9QOcshlbApEIfvjoshEKDkHQ9CUu8c66Kd+UWACDuMoYGJb45PIyqgAGteOAudICB8QVGzmUww/RxsSl6JnPisEMjxm0OM4BZBtFcu9akh78WzB5URc7zZjgsmLXOc4xDin2AABRIkJ1WyzKiYuaznfO4u7v26Efe+PM9xqA7NipDC3aJGR4gJKEoZWHS5l5osXPCT2pGym9i+dASlCSyKEla6IoEdhF6MUgIpG3Fey8omCkHiOAR/+2dtyDjm+3Eul0SwmDe9UrXijE4bODzg0NgADZjG9nbQeQAs1LMrmZAgUjDi/8UswvwdhqBJCCjGEWGwFeHhlBiSrDOaxKeean2S2gvUlEFhSExRrh/mllTut70+8HMhs+3yAWadHTZMh8VF/eeVBQ8tZidOEuTBKBtzRgcNFAdMMDMIBIS2SQvydLMqUvirzwuy87udTVIu0LnakVZEPy2wqRNvRDM0ANsBAMQmuEKwivDSsEgjG2LwTIleoO+XLp8+3iaHVcXBv0k9lZAROeCmLnkwGe7H1qU9c1WeUDszvQzUGQKfKEmBMAjkWLXn61YSPJFCmVZeZERMSVKJesiyTokBUrLigwZKpBKs85FDf1WI6MYJaZA4+AgxIBQ1y8JxT4BpZlJGjKQziRmRfjap194YexJJ574+De+cfbrZ5zRuGDp0qUHXz5pkt28jH2VBbQ14KgfFUTCpJlZM+AXwOiwAei8Ti7IymT00oyQrmMpgu5XH4kAQ2tM2dgDv6M8CXtHmZ2B1weXIB30YeLGHhRnbPQFTdim3M4u5sJpVUmuOLHKd9VeCYpZgGxqIp67Iv6jN/wls1Ws28ZuAJH/VsyMY6uCKPcL2HrXIjczK1+kSIYMkS63Uw/UsnP+7IrwlJNrCkcfX1M4emaJ74CR2jq/1Ek/WVZcKMgfEJrZpQEWI60Yo8MGjiz3Q+fCF1MAfm/zsQ6Eg5S1s/PLios6r/jF5Q+uW7e69KtfPevk1avXRi655OJ5WuvA8pa5bpRZNJZH7uNkopsMUwKsmYGhAZn7Pv0rWEhWDIbM53KIARYCQ3rTKE5bHrHkHXiE0lgxqBBdJWHst7kXlYksXCGQCPo8DWYgs5ZSIZMRk92eR6OzJv1srwTFwrnQPoDv2Jw6JBWLaRJCvq1opBhDwwYmF5r95HCnrCezCkQKZQVbT04Ly6nnjIh87uhy33XTI/TqyCCtGx+kdUeU+l85uTJw3QUjC4+aHFDHDvLhtUhZkeG5lO1dSV2ZHxUBCehtaTcG2GcKhItKlt75m8uHr169emxV1aBHjzzyyNfnzJlz3apVK8tOPfXkLzU1NekXzjvPLCqi7gqfeN0MBEEAu8yo9Amvknw7MGsauLSZAOlq1PSm4EgJsQMgfK7GxrICbKoqxLD2GEZ0J2FLT4nrC/q24xMkBHPWwgxK0O8OHvU9IrL2OlBEoyzQRPqWzT3DYmQchmyagLfhPrkZmVnih9yNjqCZVUl5kRyK7PXfHBw46ujKwMoGZtnKbERbW41cRNnvW20As4vN+ecUup8pcpw7gpGIobXudyWKgZAkTCv2ARrb6RdEwOBC4K2+xGdc19EbN246529/+9vJra1PHptKpTidTn+BmenRV19VAFBuis5cCQd0zhX5dih8ATPy4Q4xAClQEc8gZLnbkct8pNFZEMCbg4tR3pPGmLY4bENCMMMxJOIBs59P5DiRKrWT8nOlxo8OGFG1Otraaux1oFhQ51GBx9rc0/uMYBCsNGPXuWrKqZUlfolxYQNZvXMpmdZaBwoisiCduuFLNaHzGpglM4sWIlUHqKb6etcwDPXQQw8N//rXv37olMmTZz7wwAPT/IEAqKCg7ZuJJ74+iK3XZDAoKMcxiDwFdHKhiYBJSCkvlMuDstOGQ4q3ChLCti31pz/dcN/69evPcByXDMMYD4CwcKEGgHaXH/eZBPY8IPyCEBKeYegX6TV7NRDkzSRpxtDelJfSH6BYSsVIBUy8NrwMhSkbEzf1AgAMpWAqjb6QbxufYAakUDKbNg6hxPym2ZOvUac3y6b6enfvAgUzLayHYmYRc+lbdjrDgnZfzULkLa9xYQMhY2cpmgAtfAEqVtmt3xgS/iGiLJq9gm6dzyukUqnBp5xyyp0//OEPXnvmmYXPFRZG/nPttdcuOemzJz7Vk0hMprHHWwcViNOKBdvKexamXA6jzBQYETYBx0KvNiEJZFka6d7UoRedcVSr1tqeMmXqowUFkUWWZalAwKf7+mJLAfCxxx5rAoBk+MBvn70Fa6/TCHsRR3k8i6KMAzc3NAxAMENJwsvDyuBzFGas6YTUGqmAgY2lBVgyohzLa0r6M32e27BRa/f2XXPEyG+7URbR5gbGO4fvH3F5RAsEQNza7Ry41JKjYGeZ3+YZ8+HgfmFjO6Wy38xrzQUFARrmw5VEZLXOhSAizgGCmLnqa1//2n9bW588I5lMRqZOnfbo7bffMenYY4+dtHHjhpFnffEL85l5UG1RYFUF3NtDhQUEQOVnwoBCaaQMF3TdhM9t/jN6fUXCTsRZCnkMpnzGGDZ0yJ9eXvrSV998842DmJlN0y+KiopvJyLGfsfBcx90lO32J2ihAbi8Uy4eUKo/hBzcl+oXVpg8CVtoYNmQUriGwJi2GDaXhbF4ZAUWj6jAyppi9BT4oWg7j+RW2En5+arARftXV6+dVbegPyu7V4Gio8IbmH9tTp3QIfwSePs8VB7WJT4BtbN4wSwNGcims/VVoWYw0wJvzNHY2CiISH/xi2f+6Llnn60hIqu6upp//esrLho2bNiyCy+8cNmPf3zR1W+88cags7/5zSsBoCQb/4NhW1C5IlsCYENgvJHBafaLOPn1n6N2/b8pbRZr1+8PPtqZbXjqqQU/mzHjwCcLCsKysrLKmDCh9vZ58+bd1dDQIA++7jyHmX1bsmqY67ieVE5A2mUklEdUeIBJFKwBKVCYtlGStqEEwecyTMVwpcDr1UXojgRArsYbNcVYUV2MWNgHRQC5GpQfyZzb8GUz5tFmcv4vPnPALbOircbC+vp+Mr0XydxMCxdAM7OoXbj1CNtl5Dfq7r6YBYgYhLAk6J0hoQPhkJROakGYaDMG1Ce0tLRoZg5NmTK5USlXG4YhM5kMzZ8/v9ibA0JnZ/voTCbtrF296nPMPGTJkiWvOcUFy/3BUK2bzSgBLTMUwkRnGca665EyynDKS9+HMsK0atjRHFT2pUDg1vvuu/+oK393zYxIQIpvfev7/yUitLayUU+k6ruyoxMkJ9uZFAtASCL0OK63h3XHKi+lABBGdibgtxVSAQPdBX50RoLoLvB7KXKl4ZjeOid3G7C2iVQMkoI5lcEkp6f99jMO+Rb97DJRN7dOL2zaPtu7V1zNzRBoIr045sywzFAdUgm9XVSwG1sRlIRALrW9Yw2q6RPodrEAAKK578peVzpeuXLlxHA4PNx1HTJNU/T29uIf//jHHVdcccVVv/jFL26++eZbfpBOp81kMhV59r8vDZ0xY4ZTYQqLc3ofgeEIH0b1LUHE6YEjAhBMOH3xd8XgrS/o9kjhiJaNvb/LZtL4/re+tfiss7753+xnPytvYjbrF0BLAK+l3Muzhg9eKoVIELAxo4AdXSERFBgFGRtSM5YNLcF/R1bgtaGlaCsJeTpFLtuZ9ytMO0diRALsajVYpeRRxfJsIloXravbqZhnrwHFH3Ou46Z18dM2KAMQpPe0uGVXTDTfWSQkwLvyOpFIZG13d3e7YZjQWpOUEuvXrx3y5z/f/KMbbvjjNw3DWHvhhRf/PBKJWIlkXw8zk9/rgdQfggpWGNGxEJpMCHbhSj8MlUbDC2fJ4Ibl+jUq+XZLW/o6Zi6AZ6LUuUQOzwXuasv+1QmFT7cSCQZIilxE80bSBcQAKYEBFhLSdZE1JV4aXopNZQWwTAnS7FmEPSkE8vpAKjMVN44J2Q9dcez0h2dFW43LB7iNvQsUA6KO1xPuSU46gx2bg+wOEpb2St3EDitDAFCaYRAqAKC2f48xMQAxZMiQzqFDB6/28gxePaRpmpzNZh3XddySkhLXMAxVUVH5xnFHHbWCiDiutJXvwKukH4WZrajufRmuDHq7zFjBliEU2r044/mviqKuN3idGfz+dWtjL93blrnynk2JM+7ZkvrV9euSL65h/9f6emLKEELk0+drUgpbM17fzp1WuXLhigGuIbczbc92OzHIkJpTKTFZ9W36y4kzziQi1GHBLhfeXgGKfNQxv9uZsRG+/WBn9Ds9Wz7VG3cZCXcXW92IyLY1wpLmMDM1YhvtaGhoIKUU1dcf9cvy8grKZDKCiFwv6UrS7w/QkiUv7nfTTTf+qqqq6tJcMW5FVtMI17YArYQrg6jpXoxIph1K+Pr3Ugh2kDWLURF/EyO6n6XOPq3iZO63RgZ+vJJCd641Qz+JSf+0VKxPCyKZLxrUYDzRld31NxUEKNcLTXMV2e/mIhJgW+mabIzOGFn6LSJKRltb5e56h+8VoMhHHc0b4qe1s09iz6rfvMHUQLetIXfWt6STSSOuaXxbFsOjXt8JkSOaiohw2WWXPXLkkbPOH1RdLZjZcF1XKKWEbduypmYIGj5/xm9uuOGGhy+77DJxb7szGgF/lbItJgJpEEZ2LYLAjntJBQyVRTo8BBuqZsNkS2rb1vGemJtNJVS8J+aqTFoLIQTn1NGIJDzdbWNTykVeltlOnSHh9Y/g91JvzgAJ15dJGLOCzl8vnjlh3qxoq9G0C7ex94BigOtYnnRPstMZCNqz7C3lQpCNGZWrZdjhda2UGwoHHmtPfLmJSM/d/vvyaaedJm+44YbrfnvVNcfMmXP0P0aP3u/5YcOGP3/66Q1PXHLJT4694le/uuSLl14aaGpq0h2ZzA8sEmwIUkr4EM52YUzHU7BlCAONvSaBoE7hP6EZWGEOQynZYBICIIOZJBEZmkjonABTZBIW9dmY35GFkLRN1Xa3hZBMOZLxbkHBDJKG5nhMHqh6N91x6iEXaETFgrl1b7t9wNgbXEcLSD3UljpwM/n2g53ULPYMFJwrp1qVcmHtQgwXQlAqkeZOw/jBqr7MnfsBq5lzjU1zFqOhoUEef8wxjxHRY4bh1TIsWfIS/vjHP+L7117rv/7887NPdiSPf1X5GjLxJEuCQazhyAA2lR+MGevvQJ8MQua8EwOQxPiHfzYeWJ/GqWU2xhf5EcxVa+XdhchlXOd3ZPF4pwUhcqKMy4iYAjMrA9iUVVgWs722SlqDtAYbxh6Dg4QAZy09Fhnj/AnV3yKieDTaauRc5d4Lio4Kby7vbbdOzbkOl/fQguWajWFrVmF9RmFUyPDAMcAbs+soOxApfT5t3Y1iOoAA1cps1OcGpqWlReWOi4LjOP15rb+1tppfq6/PruzLjH4sSTfFHZdy5S9gZgQMwtX7/RZzeix8I3UfemUpJCsE2MZ6UYHHggfBslO4c4uDIX0uxheYqPILBAUhqxnrMwrLEg56LOWVELreZx5WGcAhJT4UmxJXr0nkFBzy+IRW72LKGMzk+tNxYwzHf3Hm1Gme22iqd/fELX+sriM/eQc83b7slazcn5ysfjtQUL+J8AYrX0m9f5GJs4aEd5k611prGQyKwX7x8NlV5veJaA0ARFtbjbq6OnS2gNEAVAB0Q0sLtzQ2KgB4uiM79nUHj3VpOdxOJbXIhaQaQEgwbtqYxdok4Z+dP8eX++5Gt1mJYqcLCytOxDeGX4+eVC9iLgG5fhDefoJ8mMR5homAKXBgsYlDSvwozYlP6zIublqXyhfbwNy8FqqkHDpUmAPH27gMIQBpONzXax4nY1sePv3g/Wju3CzPnct7soH541c0vWMQhGSOQKn+SacB4+b56m0daGB4+Uhhe4NDkrAi4WJVysWYsIHMDtlSIYRQmYzuDRYff+MWq/aeNuvSU6t89xBRtmnXxTjVj/a5330x7nw3yaJYZQcAgoGgJLyZVNiQsGBIia9U/AKCGV+M348MEzqHHYMvDysAZ2xssIA1aYUNGRftlkbW3Ub4Q1LggBITh5b6UeUXsDQj5TIKTMKWrAI0e0XCoG0p9HcAA0upOJMhacfN4Zme9iPHlJ1EROncrro98jsfi6Vobm6WDcsr6OatK+na3hJa3tLo1D3TfuvTKvRFTsVcSGH0r6r8slcKcDWClovSZAa2EOisKvQCdcuBcDXKgga+O7IA+ULYHcvTlNZK+AMyHAggkE2tLTbFvP0jMrE1peZbRFQdEp9Zl1Bj44T6tBksTcRTIOVq5Igv5/ITSgN/XJdEl+2Z9DGRAI6pKcbZr56PUVsexg1HP4+MrxgmOzCFt+HI0Yw+h7E27WJNykXQIBxe6keZT8DWDEdvm/eQJNy2Ke3xCUOAHQdGxyY41cN3zvpxThIXUiGbFWRnaQKncGSJr/mUYcUXfGb88C3RaFS8m6OrPnJQRBEVTRjwgH6CMCR+tCJ+2fVrdZO/vd2NpG0jkrRRk8qgqC+Not4MahIpFMayiKQslKQtuERYOnYQWqcNxyujB0EFTCDjYFqBxJmDQ0jyrr8ggbVisPQHZCDoh98AnIwDZsAMmsjYQDadAlxHiVyrQwwoogkIwu1b0ljW6/WzPqrcj7pyH1iY0E4a+7U9iTdrToSA2lYinpOtDQJM4e0b8dLv28AwsDhcMXDd2iT6HAUYBmRvF8ix4VYOBlynHz0kCBBSsW0LYVs0KtuLg0v9939n6vBrjqopfTqDbRXx78p4f7QUwtsYvOrB1+pkjI7e8OJbSvjkNFObIzaubQ9sdDG6KGkhnLbgzyoYzKBcwZMSAlp4neny+yODlgMIgbeGluLZA4bhmUlD0V0UwqGlfpxSbCDrai9LuKvelt5mQq28Ccp7Gy1yXnzgL/VL5pIwrz2Lhe0ZFAUkTqkOYULEQEpxrg+lgGME4XNTu+yN0b+pmbYBhXaQ5gOC8FbKxV83JL25FwbMtg1wC0vBoQJA5U4qklKz7TBsSw7L9GB6WNx/9sQh15w2ruZpCwCiUbGnHOJjAwVHWVAT6cXXLJzW/tT6F0SCDKVcOLYNx3EhBIG0lxJWQnjNQgbIuJxbHUGX4XM1GIBjCNiSYDoufEqjuyiElydUY/7k4Sg8oAZHD4sgaLnQuT2heJftiPKT6MttOH2oLYPnO7MYV+zDyYOCKDHFDsTWAwe/xyJ5zUCBQXi4PYsFnVkIU4JtG0b3VjhVQ73JEkKzUox0Wo7yaYxVqadOrC5s+tHMcf1gaKitpTxZfk8076OyEC3UQg3cMLj16/ctaVu8sYwD5FBuRdI2Ey28gR0wKUQQAAK2gmDG2mITz4wrhU8DUzbEMbQni7DrdWbRzDBdDdtHeHVwGTYdMQZV9aPgG1QEchVE1sllEHff02RgkbMhvJxEl61x75YMVsdtzBkUxOyKAHTO9IsPcAQZHgBvWZ/CupQDMk2Ivi6QUlAVgzQ7NsOy5SAnhcND7vJvThp+1WdGlN1KRAoNzbKhAXg/YPjIQMEAzZ0VlU3PNLlPffueeYkXe45PcdYl2n3kwwRoIpiaEXQ0ssR4s6YAT9RWYNG4KjgVFd4nx+Ko2dqNCZv7MG1jAqO7sihJuQi4DFNppLRGT1UB0oeNRKp+DKzRVYAhILMOyNXQhG0baHI4kQSYuQYfCZexuM/GY51Z+Ag4c0gI4yNexfgHPXgMj3PEHMbv1ybhag1IA2bnFu0UljBIygo7ganSWt44puKqsycPu5OIvCOqvGMbPrBenB86KPLHRj932fwLup7cdE3SSrkkdn1ck851DPG5GgGX0e0DXh5WgMcOqMYbo2uAohIAJkSOZ2ghcg2cbCCTRmF3H4Zv7sa09X0Y157BiJiDwqQDZF2kC/3onVKN1FHj0DtlKOziIIKuQtBR/fssHPZCwk5bY3nCwfKEg0RWYXShD6fVBFG6k7v44C7NQMggvNzn4F+bUyAv6mDq6aKSSAH2d2LLjx1UdNXP6/bvB0Mzs2zAB3/G+ocKijyPeKN5yfQ1f1v2Qrw9Dhj9m6sGgMFbmUFHQyiFrUV+PDO2BI9PqkbH0CogFAFpAmkNzQMqUNjrpkA5/cJLdynAzoLiCQxu78G4DT2Y3pbGfltTKO/MQlgOEqPKsHz6cKycMQJbh5YCSiOtGB2ORszRSLnshQAEzKkMYHZFAMzernXxIY2YZiAsCfduzeCFHgvCFCzSGdo/sWXFSUPLrvi/ObXbLAOzbP4QwPChg4KjUdHSVEsN3OB/7At3reh7s3uw9jFjgK6kBUFoRsjWsEljZVUIT9RW4L8TBiNVVQ4YQQjFYK37+1q/rXgDr8EoyItUQBpQNpBJoaijBxPa45id8aPq1Y0o7Ijj96cehKVThwOOJzV7cPVEjkJT9EcXmdyudfrwXS3+sDaJbksxDIMHJbuzz9WKCaNqa9d7boJlc8OHB4YPVdFkgBYsgGgUjW7r+fffmX4rPsQ1tBK87VA3BlCQdZHxCTy9XyEemViF18fWACVlAEsIpcGO2+9S3nFKcoUp3mgpQHkAEeQDImHE0jZqpg4DjxyMNd1J2CkbIdOHKQkbbbZAn61hac9CjImYOKU6iDJTIDWgRdGHCQYfAVssjW5Hg6TQLKQcwZnF4yYetH5Cc7NveUODQ0Tqo4gM3jUomJlaGltEY0uj3l1X6gWz5sr6hU3uc5fPv6DniS0npdlSQmwPCJOBByaV4dEZw7B5eDUQDIMUgRwFhus16CJ67wbQ29sJlhK6qx2ziwQOHlSFTF8KwYABCpkYqTTcwlB/17ouSyGjGLWFJkyiD40/7Crba0jCurQLKAYbgiNC47DSwN3PM1NFxQL9UR5qa3BDs2xpABr3gL0OOKdbgQDaXQnQQrhvNb86fcU/l14VTyaUMKm/UlITEHQZK8p9+MvxtUD5YAjLAWwNjXxPxw9mJkhI6FQaY5FG/cQJSLsOWApPsVIaNvJHNwClJqHC53W8GVji95HpOADWp1UOIiSHZGOJq2eUP3ANiOsWsF740T0KDGppVPCOvSNuaBZobtglKhefc5NJRA4zB/778yd+val1zSzbdRi00z5PAsBL/7RojEo4Aga264XMRDCVwlNjS0GRYsisDbefL3xws0BEYKVRFO/AKTPGeBom84A/s/3WfYcBO7d76sN2FztNggDijsbajAsIqcgfMCJdGx4UNfuvR3OzbGr8YI9+eKdLvHb18ze9+s8XjxYhydTSqIiIm9EsOcr5kni6afpN5oybz3U6lm+a+sw5D87vfabtB+zoqX7hm+aH74Ad7il++A5wE3aBEpppBx9gKkZnyMDicYPA0u9tt3q3nfDfuXQZJAREx2acMqYKJZECOEq97Z/Jd7sRH3E2SMPTRbZkFVKOBgQoorI4pMR/t3dOesNHn7h+4pt396ZXxIqLJpYvrpw65M/7f2PabUSUAoAGNMgWtCgAWPaPxV/deN+K31lbUiUpnXaEkJLfhpLTLqrvNREKLIX544txQ+NBEGYhNNQeW4h8g1BIr0zJ65O9s4MWpgnd1YGjChlHTx6LlGVD0N7Z800zEDYI8zuyeKozq2GaNEXFOpeeUL4fUXn8/TRxf8+WomBY0b+VpdD+/KYZq2977cb5p96x7NlLH7m+/eVNB7T4WxQz+5+78NFrN97+xt/71neXpJFVUkoTXkM1kUtu73TvaqYJgCOBx8aXA4GC/urkd4qZc+c5gg0ByYzq3hSmbOiGX6kdrAyDDAM6kcBYTqFuwmikbWevBUTeSDoaWJ12AZA2/QEa7+NWg8rjaGb5UQMCAAyzOHifCMovKZ3lvmRM+JLGiOyW9PcSy3u+1/qN++6dd/qthb4eeVR3b7cr/FISQ76XomKPYGqsKPNj7ahqEEtouO8ICs45+GDWxaB4BlWxDIoyNmJBH2xDbt+AgwTYdVEU68DJB47dxuD2UkwwAJOAbkdjc1YBUlChk1ZzCuVf7gLQAKDlY3guY9SXap/e8NCbMZEQZTCYFVinOcPJdUkZ3hI+VUOjT2WV9BvGeysx71/DMF2Fp8aVQBUXQ2j99kck5JJWJSkLg3vTKE1a8LsKrhRQQqAzEoDeoe0fCQFq24iTx1ajpLAAGdveq61EPhTdknHhKq3hD8hqu3vFeTP3fxzM1ALoj+O5RHFxcYKIFvsNP5hZg1kQSEq/gQwsZcFRUkr5/gAB+DRja4HEi+MGAdI/sMfYNvKY1yYICNgupq3rwtT13RgUS0MywzYE8o1+Yvk2PbkyfzIM6M52zC4PYMLw6r0eEP0TAHj6BJP2+32YHBYPpBXTrAWQ+BhcBzxeQKq4tmKNEEJv107LG29J77jJdw9AQYSAo/HSiEL01VRCqAHtgPJpckMg4LiojqUBIuzfFkN5woISBEd6Mgex1/HNlQKJgIF8+xeSEhyPYRwyqJs4BmnL2TcAkSvzX5dxASFokEqrL1QF7yEi/m5nC3+cQEXpiPLWcEFIKFfpD8P/EgBbAE+NKweCHsHMFzZ55BEY3pnAgWu7kPSbKE1YKE9kYZmi/ySbbRaFkfZJOHk+kdcjkt04acoYz6DxXo+Hfj7RYSl0WErD55eTDLXmhAlDFoOZGhoa9McGCo5GxaTvHbrQ2L/ghYgR9mml3Q/yD2gCAo7Gm5V+rB41KEcw2SOQglDVm8aMdV2o3dyLtqIgEkET49piXkKLd7Q4XgfZpN/0+IS3AwrobkdhcTGKIgVw30GP2Kv4hCCsyyiwgg4H/Bjkw41EpGYtwMcSdWyzFF4dX8eR1514bOHkshcKjLChNbsf3IrwimUW7F8KVVzs1VwSoThlY/q6bkzc3ItIxkZP2I9Vg4oxoiOBgtzBbbQLncIVAptLQt7xDVKCknEI7aIjVIq+rA1jD4902ls0io1plyGFKHPT6QuqxD0AUFcH/XE+V74HlCCivrpbTjkmOCryQoEIGczvHxj9BDMssHi/KpAMeASTgLHtMZQlsh5fIMKb1UUI2C5Gdie9E/F2YSVMpbGuPIx42O8VymoN2dcFLq2E5Sqkld4nuATgkbWUYqzJuBqBkBjj5xenj6lZj+j7P4ryA+EURKSbm5slEcVm/GLGMb5hwRfCImRo5veluescwVwy0iOYpHMnoeR4gm0I+HId5vsiQYxti0Hqnc//yruNeNCH9eURkNJgacLobocOR4BAEFAaW61c28K93FSoXEHNK3EHKUtxJOjDkWXBe7KaaVbdx7/pu/8BGhsbVXNDsywdPTo29pJxx4gy48WA9kkGXHqPq0+AYZmEp/YvB/wFXt+AXCMmYk8Fs0yBFTXFKOtLozJ3ui7tovcMMbCyqtBrJioERCoOch2o4jKQ6xm1Hkd/5LmL9+IyCgzCkriDR9rSDGGIUcJS0f2LHgCIP27XsR0oAKCxpVG1RluN0TNmxA7984lnVR5Uk6S0NhzLUVpppTW7zOzmGt7rt+P5HsFkrCj3Y82IQSDI/k4OkhlSMwzFWFVZCCUIY9vjuyWXPqWxsTSM3oKAZ220huztgltWtc0sENBr6+1O+9nrLAS8LYdr0wrNm1PsalJVlaXi+DLjYkm0/oM4xfgDUTR3/EF9U73b3NAsy2vKX9+6dMOhVsa6H316VCaRhnQFtKOQzmZAQsCFAgveKROa1yZMrdG6f9k2BTOnVPqUgt9V6Iz40VYWxvC2OAosZ7sjjvKcRGpGImBiTWXE24ovDRgdm6HDEbA/CLhOvzLaYWu4zHtl9JHfg9pmKdyxMclKkaqqLDW+HMlc/JtxZVefxiyb6KNNke8xKPIWg6NRQQcMW8bMB2beiu+/esHrg3zwz1zT+oaoKC/7TGJdr49708ORZdMlpXNn820jmC5ja8TAknGDABEAD0heCWYIBlZXRBDI7p5c5iOOFYOKcifeCMhUnMl1yK2o9lr+5BEgCH22QpetUemXsHbRkvljAwS8/SO9jsatG1Mcd6AqK0qNhkL7omtqy67UrWy0vEPPiI8dFABATU06Go0KIuoB8Fzux/d6MbZHBd+8a+ms9feueKjvrc6w9kFTbh6YCAFX4b9DI+irKoXQnjvJ1bZAKoYtBeIBH8Z2xGAqvbOVyHWj31BWgN5IwCOXrFj1dBJXVG/nZvI5r6xitGzJ4FvDw5DYdmzG3iBSJTXj7xuS3GOxKq8oNU4LZy++obbsSn3TYhOzhbO3Se+7vZqamjQzEzez5OZm2RptNVpnRQ0i4rk0l8afOXVB9Qkjjy8cXJISLgnOJXAEM7ImYWFtpUcwB04PEQylkfZJ76ijdO4w+V24jZQ/5zaUBguBQKybBpeVQAfCoB16NDC8lgRb0i7ua8vCv4sD4D4OQIic67htY5I7sx4gTgimL75xStlv9U2LTZx7oLO3hUvvWLibU9Z28nVNaNIcbTXorIOffvbXTx6vnnAeTvelwq7BOuSweL06gNUjqkAwoNkd0KzDm/C+kB+G0gjabv++j4G6OGlgRVUhHCkgGJqVFofI9KsXzqz9x1feTF3dnXAUAZJ3UAmFQXi510K1X6C+3I/4wPNBP2JAELxd5rdvTPLGlFYl5aXGUWb64lunVvyW84DYC6W29+V2qanebZ3Vasz8yZynQwdEjg8Wh1KkiAhaPbJ/Ceuikn4Fc+Dl1xqxkIlw1oWp9PYHnuTcxqaSELqLghBas9bgUVavOm9c1SUnDPJdUx9WtxhFJRJ6Z0leMyAk4ZGOLJYlXK9FM3/0gECOR9y3NY3lCaWLykqNw2T64n8dWJGzENPdvTVJ8765WN2CBXpZtNk35+rTnx79tdqfFlUWQ2ZIBjJq59Yr+TQ3A4mAieK01c8ztncbBlZXFnpug6QyCHJOwLqrYdqYRyZEm30tM8p+MM3IrGdfwJCs9K4mhQHcuyWNLkfD9xFK3zpX+BsxBOZ1ZPBit+0EC8Jyik5e/PAheQsxw92TStN9EhRes9omPbGp0V58zk1m7ZcOvq748OqvVk4d8sZnFbL+dJrYa1+0bQUxkPFJ2IZEccbx9nfwALfBjJVVRXBN6dVfKyVqrS7160NG/koxU0PtBBBR+mcjwl+tKSyxFIVhsLvTwbMkgISrccemNDR7DJg/ZDAQvHpLWzMeaU/hPx1Zp6S62vxiMW5+5siq3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</div>

<div class="wrap">
  <!-- ============ CHAPTER 1: MAP ============ -->
  <section class="chapter">
    <div class="chead">
      <span class="chapnum" data-t="ch1num"></span>
      <h2 data-t="ch1title"></h2>
      <p class="lede" data-t="ch1lede"></p>
    </div>
    <div class="maprow">
      <div>
        <div class="mapcard" id="mapcard"></div>
        <div class="pickrow">
          <label class="picklabel" for="countryPick" data-t="pickLabel"></label>
          <select id="countryPick"></select>
        </div>
        <div class="maplegend">
          <span><i style="background:var(--navy-2)"></i><span data-t="legFull"></span></span>
          <span><i style="background:#BFD1EC"></i><span data-t="legParty"></span></span>
          <span><i style="background:var(--land)"></i><span data-t="legNone"></span></span>
        </div>
      </div>
      <div class="panel" id="panel"></div>
    </div>
  </section>

  <!-- ============ CHAPTER 2: WHO SPEAKS ============ -->
  <section class="chapter">
    <div class="chead">
      <span class="chapnum" data-t="ch2num"></span>
      <h2 data-t="ch2title"></h2>
      <p class="lede" data-t="ch2lede"></p>
    </div>
    <div class="twocol">
      <div class="chartcard">
        <div class="plabel" data-t="ch2a"></div>
        <div class="ask" id="ask1"></div>
        <div id="genderTopics" hidden></div>
      </div>
      <div class="chartcard">
        <div class="plabel" data-t="ch2b"></div>
        <div class="ask" id="ask2"></div>
        <div id="genderBlocs" hidden></div>
        <div class="tlegend" id="blocLegend"></div>
      </div>
    </div>
    <div class="takeaway" data-t="ch2take"></div>
  </section>

  <!-- ============ CHAPTER 3: TIME ============ -->
  <section class="chapter">
    <div class="chead">
      <span class="chapnum" data-t="ch3num"></span>
      <h2 data-t="ch3title"></h2>
      <p class="lede" data-t="ch3lede"></p>
    </div>
    <div class="chartcard">
      <div class="ask" id="ask3"></div>
      <div id="timeline" hidden></div>
      <div class="tlegend" id="tlegend"></div>
    </div>
    <div class="takeaway" data-t="ch3take"></div>
  </section>

  <!-- ============ CHAPTER 4: NETWORK ============ -->
  <section class="chapter">
    <div class="chead">
      <span class="chapnum" data-t="ch4num"></span>
      <h2 data-t="ch4title"></h2>
      <p class="lede" data-t="ch4lede"></p>
    </div>
    <div class="chartcard">
      <div id="camap"></div>
      <p class="xnote" id="netNote"></p>
    </div>
  </section>
</div>

<footer>
  <div class="wrap">
    <h2 style="font-size:1.4rem" data-t="ftitle"></h2>
    <p class="fproject" data-t="fproject"></p>
    <div class="fgrid">
      <div><h3 data-t="f2h"></h3><p data-t="f2p"></p></div>
    </div>
    <div class="logostrip">
      <span class="plate"><img 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" alt="Ινστιτούτο Κοινωνικών Ερευνών — ΕΚΚΕ"></span>
      <span class="plate"><img class="wordmark-img" 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" 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" alt="Βραδιά του Ερευνητή">
    </div>
  </div>
</footer>

<div id="tip" role="status"></div>

<script>
const GEO = __EUROPE__;
const DATA = __DATA__;
const T = {
  el: {
    brand:"MEN4DEM · Βραδιά του Ερευνητή",
    rnFallback:"Βραδιά του Ερευνητή<small>25 Σεπτεμβρίου 2026</small>",
    eventline:"Βραδιά του Ερευνητή · 25.09.2026",
    kicker:"Τι συζητούν τα κοινοβούλια της Ευρώπης",
    lede:"Διαβάσαμε με υπολογιστή τα πρακτικά εθνικών κοινοβουλίων και του Ευρωπαϊκού Κοινοβουλίου και μετρήσαμε ποιος μιλά, για τι, και πού. Πατήστε μια χώρα στον χάρτη.",
    cSeg:"αποσπάσματα λόγου", cSes:"συνεδριάσεις", cSpk:"ομιλητές",
    cTop:"θέματα", cPar:"κόμματα", cYr:"χρόνια",
    ch1num:"ΚΕΦΑΛΑΙΟ 1", ch1title:"Τι συζητά κάθε κοινοβούλιο",
    ch1lede:"Κάποια κοινοβούλια συζητούν ένα θέμα πολύ περισσότερο από τα υπόλοιπα. Πατήστε μια χώρα για να δείτε όλα τα θέματά της.",
    legFull:"Πλήρη δεδομένα κοινοβουλίου", legParty:"Μέσω Ευρωπαϊκού Κοινοβουλίου",
    legNone:"Εκτός δείγματος",
    pickHint:"Πατήστε μια χώρα στον χάρτη για να δείτε τι συζητά.",
    lDistinct:"Ξεχωρίζει για",
    noteX:"Πόσο περισσότερο από τον μέσο όρο των υπόλοιπων κοινοβουλίων: <b>1,3× σημαίνει 30% περισσότερο</b>. Δείχνει αναλογία, όχι μέγεθος — ένα θέμα μπορεί να ξεχωρίζει και να παραμένει μικρό.", lBiggest:"Περισσότερος λόγος σε", lParties:"Κόμματα στο δείγμα",
    lTopTopics:"Κορυφαία θέματα", lSeg:"αποσπάσματα", lAll:"Όλα τα θέματα",
    lTop1:"πιο συζητημένο", lNoDistinct:"Κανένα θέμα δεν ξεχωρίζει — κοντά στον μέσο όρο παντού.",
    tagParl:"Εθνικό κοινοβούλιο", tagParty:"Μέσω Ευρωπαϊκού Κοινοβουλίου",
    ch2num:"ΚΕΦΑΛΑΙΟ 2", ch2title:"Ποιος παίρνει τον λόγο",
    ch2lede:"Σε κάθε θέμα μετρήσαμε το ποσοστό λόγου που ανήκει σε γυναίκες.",
    ch2a:"Ποσοστό λόγου από γυναίκες, ανά θέμα",
    quizQ:"Σε ποιο θέμα μιλούν περισσότερο οι γυναίκες;",
    q1:"Σε ποιο θέμα μιλούν περισσότερο οι γυναίκες;",
    q2:"Σε ποιον πολιτικό χώρο μιλούν λιγότερο οι γυναίκες;",
    q3:"Ποιο θέμα κυριαρχεί σε όλη τη δεκαετία;",
    qHint:"Διάλεξε για να δεις το γράφημα.",
    qSkip:"Δες την απάντηση",
    ch4num:"ΚΕΦΑΛΑΙΟ 4",
    lBloc:"πολιτικός χώρος", lTopicK:"θέμα",
    ch4title:"Ποιος ασχολείται με ποιο θέμα",
    ch4lede:"Πολιτικοί χώροι και θέματα στον ίδιο χάρτη. Όσο πιο μακριά από το κέντρο βρίσκεται κάτι, τόσο πιο χαρακτηριστικό είναι· και όσα δείχνουν προς την ίδια κατεύθυνση από το κέντρο, πάνε μαζί.",
    ch4note:"Ανάλυση αντιστοιχιών σε {P} αποσπάσματα. Οι δύο άξονες μαζί αποδίδουν το {E}% της δομής του πίνακα. Το κέντρο είναι ο μέσος όρος: ό,τι κάθεται εκεί δεν ξεχωρίζει. Πέρασε πάνω από ένα σημείο.",
    quizHint:"Διάλεξε ένα — η απάντηση εκπλήσσει τους περισσότερους.",
    quizRight:"Σωστά!",
    quizWrong:"Όχι ακριβώς.",
    quizAgain:"Δοκίμασε ξανά",
    quizReveal:"Δες την απάντηση",
    pickLabel:"ή διάλεξε χώρα",
    groupParl:"Με πλήρη δεδομένα",
    groupOther:"Μέσω Ευρωπαϊκού Κοινοβουλίου",
    ch2b:"Κατανομή του λόγου ανά φύλο και πολιτικό χώρο",
    lWomen:"Γυναίκες", lMen:"Άνδρες",
    ch2take:"",
    ch3num:"ΚΕΦΑΛΑΙΟ 3", ch3title:"Δέκα χρόνια, τα ίδια θέματα;",
    ch3lede:"Οι συνεδριάσεις ανά θέμα και χρονιά. Οι κρίσεις αφήνουν ίχνη στα πρακτικά.",
    ch3take:"",
    ftitle:"Τι είναι αυτό",
    fproject:"Πρόκειται για ένα καινοτόμο έργο που μέσα από τη συνεργασία έξι ακαδημαϊκών φορέων, μιας θεατρικής ομάδας και μιας μη-κυβερνητικής οργάνωσης για την έμφυλη δικαιοσύνη, μελετά τις διαφορετικές εκφάνσεις της αρρενωπότητας. Συνδυάζοντας επιστημονική γνώση, ακτιβιστική παρέμβαση και καλλιτεχνική δημιουργία, το έργο στοχεύει στην ανάπτυξη εργαλείων για την ενίσχυση και εδραίωση δημοκρατικών έμφυλων ταυτοτήτων στην Ευρώπη.",
    f1h:"Το έργο", f1p:"MEN4DEM — ευρωπαϊκό ερευνητικό έργο για τον πολιτικό λόγο και τη δημοκρατία. Αυτή η σελίδα δείχνει δεδομένα από το πακέτο εργασίας 4.",
    f2h:"Πώς μετρήθηκε", f2p:"Ένα γλωσσικό μοντέλο ταξινόμησε κάθε απόσπασμα ομιλίας σε θέματα. Οι μετρήσεις αφορούν αποσπάσματα, όχι λέξεις.",
    f4h:"Όρια", f4p:"Το πρώτο και το τελευταίο έτος καλύπτονται μερικώς. Το φύλο καταγράφεται δυαδικά στην πηγή. Οι πολιτικοί χώροι είναι ταξινόμηση της έρευνας. Στον χάρτη εμφανίζονται μόνο θέματα πάνω από 1,15× του μέσου όρου· όπου δεν εμφανίζεται κανένα, το κοινοβούλιο είναι κοντά στον μέσο όρο παντού.",
    tipMore:"φορές περισσότερο από τον μέσο όρο"
  },
  en: {
    brand:"MEN4DEM · Researchers' Night",
    rnFallback:"Researchers’ Night<small>25 September 2026</small>",
    eventline:"Researchers’ Night · 25.09.2026",
    kicker:"What Europe's parliaments argue about",
    lede:"We had a computer read the records of national parliaments and the European Parliament, and counted who speaks, about what, and where. Tap a country on the map.",
    cSeg:"speech segments", cSes:"sittings", cSpk:"speakers",
    cTop:"topics", cPar:"parties", cYr:"years",
    ch1num:"CHAPTER 1", ch1title:"What each parliament discusses",
    ch1lede:"Some parliaments discuss one topic far more than the others. Click a country to see all of its topics.",
    legFull:"Full parliament data", legParty:"Via the European Parliament",
    legNone:"Not in the sample",
    pickHint:"Tap a country on the map to see what it talks about.",
    lDistinct:"Stands out for",
    noteX:"How much more than the average parliament: <b>1.3× means 30% more</b>. It shows proportion, not size — a topic can stand out and still be small.", lBiggest:"Most speech on", lParties:"Parties in the sample",
    lTopTopics:"Top topics", lSeg:"segments", lAll:"All topics",
    lTop1:"most discussed", lNoDistinct:"No topic stands out — close to the average everywhere.",
    tagParl:"National parliament", tagParty:"Via the European Parliament",
    ch2num:"CHAPTER 2", ch2title:"Who gets to speak",
    ch2lede:"For every topic we measured how much of the speech belongs to women.",
    ch2a:"Share of speech by women, per topic",
    quizQ:"On which topic do women speak the most?",
    q1:"On which topic do women speak the most?",
    q2:"In which political bloc do women speak the least?",
    q3:"Which topic dominates the whole decade?",
    qHint:"Choose one to reveal the chart.",
    qSkip:"Show the answer",
    ch4num:"CHAPTER 4",
    lBloc:"political bloc", lTopicK:"topic",
    ch4title:"Who engages with which topic",
    ch4lede:"Political blocs and topics on one map. The further from the centre something sits, the more distinctive it is; things pointing the same way from the centre belong together.",
    ch4note:"Correspondence analysis over {P} segments. The two axes together account for {E}% of the structure in the table. The centre is the average: anything sitting there does not stand out. Hover a point.",
    quizHint:"Pick one — the answer surprises most people.",
    quizRight:"Correct.",
    quizWrong:"Not quite.",
    quizAgain:"Try again",
    quizReveal:"Show the answer",
    pickLabel:"or choose a country",
    groupParl:"With full data",
    groupOther:"Via the European Parliament",
    ch2b:"How speech divides by gender and political bloc",
    lWomen:"Women", lMen:"Men",
    ch2take:"",
    ch3num:"CHAPTER 3", ch3title:"Ten years, the same topics?",
    ch3lede:"Sittings per topic and year. Crises leave a mark in the record.",
    ch3take:"",
    ftitle:"What this is",
    fproject:"MEN4DEM is an innovative project which, through the collaboration of six academic institutions, a theatre company and a non-governmental organisation for gender justice, studies the different expressions of masculinity. Combining scientific knowledge, activist intervention and artistic creation, the project aims to develop tools for strengthening and consolidating democratic gender identities in Europe.",
    f1h:"The project", f1p:"MEN4DEM — a European research project on political discourse and democracy. This page shows data from Work Package 4.",
    f2h:"How it was measured", f2p:"A language model sorted every speech segment into topics. Counts are of segments, not of words.",
    f4h:"Limits", f4p:"The first and last years are only partly covered. Gender is binary in the source data. Political blocs are the project's own classification. On the map only topics above 1.15× the average are listed; where none appear, that parliament sits close to the average on everything.",
    tipMore:"times more than average"
  }
};
let LANG = "el";
const NS = "http://www.w3.org/2000/svg";
const el = (n,a) => { const e = document.createElementNS(NS,n);
  for (const k in a) e.setAttribute(k,a[k]); return e; };
const tx = s => document.createTextNode(s);
const nf = n => n.toLocaleString(LANG === "el" ? "el-GR" : "en-GB");
const name = o => LANG === "el" ? (o.name_el || o.el || o.name_en || o.topic)
                                : (o.name_en || o.topic || o.el);
const tname = o => LANG === "el" ? (o.el || o.topic) : o.topic;
/* ---------------- tooltip ---------------- */
const tip = document.getElementById("tip");
function showTip(e, html){
  tip.innerHTML = html; tip.style.opacity = "1";
  const r = tip.getBoundingClientRect();
  let x = e.clientX + 14, y = e.clientY - r.height - 12;
  if (x + r.width > innerWidth - 8) x = e.clientX - r.width - 14;
  if (y < 8) y = e.clientY + 20;
  tip.style.left = x + "px"; tip.style.top = y + "px";
}
const hideTip = () => tip.style.opacity = "0";
/* ---------------- map ---------------- */
const ISO2NAME = {};
Object.values(DATA.countries).forEach(c => { if (c.iso) ISO2NAME[c.iso] = c; });
let selected = null;
function buildMap(){
  const box = document.getElementById("mapcard");
  box.innerHTML = "";
  const svg = el("svg", { viewBox: GEO.viewBox, role:"img",
    "aria-label": LANG === "el"
      ? "Χάρτης της Ευρώπης· πατήστε μια χώρα για τα δεδομένα της."
      : "Map of Europe; select a country for its data." });
  const g = el("g", { transform: GEO.transform });
  GEO.context_countries.forEach(code => {
    GEO.paths[code].forEach(d => g.appendChild(el("path", { d, class:"ctx" })));
  });
  GEO.data_countries.forEach(code => {
    const info = ISO2NAME[code];
    if (!info){
      GEO.paths[code].forEach(d => g.appendChild(el("path", { d, class:"ctx" })));
      return;
    }
    const full = info.tier === "parliament";
    const fill = full ? "var(--navy-2)" : "#BFD1EC";
    const grp = el("g", { class:"co-group", tabindex:"0", role:"button",
      "aria-label": name(info) });
    GEO.paths[code].forEach(d => {
      const p = el("path", { d, class:"co", fill });
      grp.appendChild(p);
    });
    const label = name(info);
    grp.addEventListener("mouseenter", e => showTip(e, "<b>" + label + "</b>"));
    grp.addEventListener("mousemove", e => showTip(e, "<b>" + label + "</b>"));
    grp.addEventListener("mouseleave", hideTip);
    grp.addEventListener("click", () => select(code));
    grp.addEventListener("keydown", e => {
      if (e.key === "Enter" || e.key === " "){ e.preventDefault(); select(code); }
    });
    g.appendChild(grp);
  });
  svg.appendChild(g);
  box.appendChild(svg);
  if (selected) markSelected();
}
function markSelected(){
  document.querySelectorAll(".co").forEach(p => p.classList.remove("on"));
  if (!selected) return;
  document.querySelectorAll(".co-group").forEach(grp => {
    if (grp.getAttribute("aria-label") === name(ISO2NAME[selected]))
      grp.querySelectorAll(".co").forEach(p => p.classList.add("on"));
  });
}
function select(code){
  selected = code;
  markSelected();
  renderPanel();
  const sel = document.getElementById("countryPick");
  if (sel && sel.value !== code) sel.value = code;
}
function renderPanel(){
  const p = document.getElementById("panel");
  const S = T[LANG];
  if (!selected){
    p.innerHTML = '<div class="pblock"><p class="hint">' + S.pickHint + "</p></div>";
    return;
  }
  const c = ISO2NAME[selected];
  const parl = c.tier === "parliament";
  p.innerHTML = '<div class="ptag">' + (parl ? S.tagParl : S.tagParty) + "</div>"
              + '<div class="pname">' + name(c) + "</div>";
  if (parl && c.distinct && c.distinct.length){
    const b = document.createElement("div");
    b.className = "pblock";
    b.innerHTML = '<div class="plabel">' + S.lDistinct + '</div><div class="chips">'
      + c.distinct.map(d => '<span class="chip">' + tname(d) + " <b>" + d.x
        + "×</b></span>").join("") + "</div>"
      + '<p class="xnote">' + S.noteX + "</p>";
    p.appendChild(b);
  }
  const list = c.topics_all || [];
  if (list.length){
    const b = document.createElement("div");
    b.className = "pblock";
    b.innerHTML = '<div class="plabel">' + S.lAll + "</div>";
    b.appendChild(topicBars(list));
    p.appendChild(b);
  }
}
/* every topic for one country, leader in the accent colour */
function topicBars(list){
  const S = T[LANG];
  const max = Math.max(...list.map(t => t.n)) || 1;
  const wrap = document.createElement("div");
  wrap.className = "tbars";
  list.forEach((t, i) => {
    const row = document.createElement("div");
    row.className = "tbar" + (i === 0 ? " lead" : "");
    const pct = Math.max((t.n / max) * 100, 1.5);
    row.innerHTML =
      '<span class="tname">' + tname(t) + "</span>"
      + '<span class="ttrack"><span class="tfill" style="width:' + pct + '%"></span></span>'
      + '<span class="tval">' + nf(t.n) + "</span>";
    row.title = tname(t) + " · " + nf(t.n) + " " + S.lSeg
      + (i === 0 ? " · " + S.lTop1 : "");
    wrap.appendChild(row);
  });
  return wrap;
}
/* ---------------- gender: topics ---------------- */
function drawGenderTopics(){
  const host = document.getElementById("genderTopics");
  host.innerHTML = "";
  const d = DATA.gender_topics;
  const rowH = 30, mL = 132, mR = 56, mT = 22, mB = 30;
  const W = 640, H = mT + rowH * d.length + mB, pw = W - mL - mR;
  const max = 65;
  const svg = el("svg", { viewBox:`0 0 ${W} ${H}`, role:"img",
    "aria-label": T[LANG].ch2a });
  [0,25,50].forEach(v => {
    const x = mL + (v/max)*pw;
    svg.appendChild(el("line", { x1:x, x2:x, y1:mT-8, y2:mT+rowH*d.length,
      stroke: v===50 ? "var(--muted)" : "var(--rule)", "stroke-width": v===50?1.5:1 }));
    const t = el("text", { x, y:mT-14, "text-anchor":"middle", fill:"var(--muted)",
      "font-size":11.5 });
    t.appendChild(tx(v + "%")); svg.appendChild(t);
  });
  d.forEach((row,i) => {
    const y = mT + i*rowH;
    const lab = el("text", { x:mL-12, y:y+rowH/2+4, "text-anchor":"end",
      fill:"var(--ink-2)", "font-size":13 });
    lab.appendChild(tx(tname(row))); svg.appendChild(lab);
    const w = Math.max((row.share/max)*pw, 2);
    const bar = el("rect", { x:mL, y:y+6, width:w, height:rowH-14, rx:4,
      fill: row.share > 50 ? "var(--fem)" : "var(--masc)" });
    bar.addEventListener("mouseenter", e => showTip(e,
      "<b>" + tname(row) + "</b><br>" + row.share + "% " +
      (LANG==="el" ? "από γυναίκες" : "by women")));
    bar.addEventListener("mousemove", e => showTip(e,
      "<b>" + tname(row) + "</b><br>" + row.share + "% " +
      (LANG==="el" ? "από γυναίκες" : "by women")));
    bar.addEventListener("mouseleave", hideTip);
    svg.appendChild(bar);
    const v = el("text", { x:mL+w+9, y:y+rowH/2+4, fill:"var(--ink-2)",
      "font-size":12.5, "font-weight":row.share>50?"700":"400" });
    v.appendChild(tx(row.share.toFixed(1).replace(".", LANG==="el"?",":".") + "%"));
    svg.appendChild(v);
  });
  host.appendChild(svg);
}
/* ---------------- gender: blocs ---------------- */
/* 100% stacked rows: women against men, in spectrum order, with parity marked */
function drawGenderBlocs(){
  const host = document.getElementById("genderBlocs");
  host.innerHTML = "";
  const S = T[LANG];
  const d = DATA.gender_blocs;
  const mL = 108, mR = 14, mT = 26, mB = 18, rowH = 40;
  const W = 470, H = mT + rowH * d.length + mB, pw = W - mL - mR;
  const svg = el("svg", { viewBox:`0 0 ${W} ${H}`, role:"img", "aria-label":S.ch2b });
  // parity guide
  const xMid = mL + pw / 2;
  svg.appendChild(el("line", { x1:xMid, x2:xMid, y1:mT - 10, y2:mT + rowH * d.length - 6,
    stroke:"var(--muted)", "stroke-width":1.5 }));
  const cap = el("text", { x:xMid, y:mT - 16, "text-anchor":"middle", fill:"var(--muted)",
    "font-size":11 });
  cap.appendChild(tx("50%")); svg.appendChild(cap);
  d.forEach((b, i) => {
    const y = mT + i * rowH, h = 20;
    const fem = b.share, male = 100 - b.share;
    const wF = (fem / 100) * pw;
    const lab = el("text", { x:mL - 12, y:y + h / 2 + 5, "text-anchor":"end",
      fill:"var(--ink-2)", "font-size":13 });
    lab.appendChild(tx(LANG === "el" ? b.el : b.bloc)); svg.appendChild(lab);
    const mk = (x, w, fill, who, val) => {
      const r = el("rect", { x, y, width:Math.max(w, 1), height:h, rx:2, fill });
      const html = "<b>" + (LANG === "el" ? b.el : b.bloc) + "</b><br>"
        + who + ": " + String(val.toFixed(1)).replace(".", LANG === "el" ? "," : ".") + "%";
      r.addEventListener("mouseenter", e => showTip(e, html));
      r.addEventListener("mousemove", e => showTip(e, html));
      r.addEventListener("mouseleave", hideTip);
      svg.appendChild(r);
    };
    mk(mL, wF - 1, "var(--navy)", S.lWomen, fem);
    mk(mL + wF + 1, pw - wF - 1, "#B9CCE8", S.lMen, male);
    const pct = v => String(v.toFixed(0)) + "%";
    if (wF > 42){
      const t = el("text", { x:mL + 9, y:y + h / 2 + 5, fill:"#FFFFFF",
        "font-size":12, "font-weight":700 });
      t.appendChild(tx(pct(fem))); svg.appendChild(t);
    }
    const t2 = el("text", { x:mL + pw - 9, y:y + h / 2 + 5, "text-anchor":"end",
      fill:"var(--ink)", "font-size":12, "font-weight":700 });
    t2.appendChild(tx(pct(male))); svg.appendChild(t2);
  });
  host.appendChild(svg);
  const lg = document.getElementById("blocLegend");
  if (lg) lg.innerHTML =
    '<span><i style="background:var(--navy)"></i>' + S.lWomen + "</span>"
    + '<span><i style="background:#B9CCE8"></i>' + S.lMen + "</span>";
}
/* ---------------- timeline ---------------- */
const TL_N = 5;
function drawTimeline(){
  const host = document.getElementById("timeline");
  host.innerHTML = "";
  const tl = DATA.timeline;
  const series = tl.series.slice(0, TL_N);
    // brand-derived series: teal, coral, sage, deep cyan, ink
  const cols = ["var(--navy)","var(--blue)","var(--cyan)","#8FB3E8","#B9C6E2"];
  const mL = 54, mR = 22, mT = 18, mB = 40;
  const W = 900, H = 400, pw = W-mL-mR, ph = H-mT-mB;
  const max = Math.max(...series.flatMap(s => s.values)) * 1.08;
  const X = i => mL + (i/(tl.years.length-1))*pw;
  const Y = v => mT + ph - (v/max)*ph;
  const svg = el("svg", { viewBox:`0 0 ${W} ${H}`, role:"img",
    "aria-label": T[LANG].ch3title });
  for (let v=0; v<=max; v+=200){
    svg.appendChild(el("line", { x1:mL, x2:mL+pw, y1:Y(v), y2:Y(v),
      stroke:"var(--rule)", "stroke-width":1 }));
    const t = el("text", { x:mL-10, y:Y(v)+4, "text-anchor":"end", fill:"var(--muted)",
      "font-size":11.5 }); t.appendChild(tx(String(v))); svg.appendChild(t);
  }
  tl.years.forEach((y,i) => {
    const t = el("text", { x:X(i), y:mT+ph+22, "text-anchor":"middle",
      fill:"var(--muted)", "font-size":12 });
    t.appendChild(tx(String(y))); svg.appendChild(t);
  });
  series.forEach((s,k) => {
    const pts = s.values.map((v,i) => [X(i), Y(v)]);
    const poly = el("polyline", { points:pts.map(p=>p.join(",")).join(" "),
      fill:"none", stroke:cols[k], "stroke-width":2.5, "stroke-linejoin":"round",
      "stroke-linecap":"round" });
    svg.appendChild(poly);
    if (!matchMedia("(prefers-reduced-motion: reduce)").matches){
      const len = poly.getTotalLength ? poly.getTotalLength() : 0;
      if (len){
        poly.style.strokeDasharray = len;
        poly.style.strokeDashoffset = len;
        poly.style.transition = "stroke-dashoffset 1s ease-out " + (k * 0.12) + "s";
        requestAnimationFrame(() => { poly.style.strokeDashoffset = "0"; });
      }
    }
    pts.forEach((p,i) => {
      const c = el("circle", { cx:p[0], cy:p[1], r:5.5, fill:cols[k],
        stroke:"var(--card)", "stroke-width":2 });
      if (!matchMedia("(prefers-reduced-motion: reduce)").matches){
        c.style.opacity = "0";
        c.style.transition = "opacity .3s ease-out "
          + (k * 0.12 + 0.35 + i * 0.05) + "s";
        requestAnimationFrame(() => { c.style.opacity = "1"; });
      }
      const html = "<b>" + tname(s) + "</b><br>" + tl.years[i] + ": "
        + nf(s.values[i]) + " " + (LANG==="el"?"συνεδριάσεις":"sittings");
      c.addEventListener("mouseenter", e => showTip(e, html));
      c.addEventListener("mousemove", e => showTip(e, html));
      c.addEventListener("mouseleave", hideTip);
      svg.appendChild(c);
    });
  });
  host.appendChild(svg);
  document.getElementById("tlegend").innerHTML = series.map((s,k) =>
    '<span><i style="background:' + cols[k] + '"></i>' + tname(s) + "</span>").join("");
}
/* ---------------- counters + copy ---------------- */
function renderCounters(){
  const h = DATA.headline, S = T[LANG];
  const items = [
    [nf(h.segments), S.cSeg], [nf(h.sessions), S.cSes],
    [nf(h.speakers), S.cSpk], [h.topics, S.cTop],
    [h.parties, S.cPar], [(h.year_max - h.year_min + 1), S.cYr],
  ];
  document.getElementById("counters").innerHTML = items.map(
    ([v,l]) => '<div class="counter"><b>' + v + "</b><span>" + l + "</span></div>").join("");
  countUp();
}
function takeaways(){
  const S = T[LANG];
  const pc = v => (LANG === "el" ? String(v).replace(".", ",") : String(v)) + "%";
  const top = DATA.gender_topics[0];
  const blocs = DATA.gender_blocs;
  const hi = blocs.reduce((a,b) => b.share > a.share ? b : a);
  const lo = blocs.reduce((a,b) => b.share < a.share ? b : a);
  if (LANG === "el"){
    S.ch2take = "Σε <b>" + DATA.gender_topics.length + " θέματα</b>, μόνο ένα ξεπερνά το μισό: "
      + "<b>" + top.el + "</b>, με " + pc(top.share) + ". Σε ολόκληρο το σώμα των ομιλιών, οι "
      + "γυναίκες έχουν το <b>" + pc(DATA.gender_overall) + "</b> του λόγου. Το ποσοστό κορυφώνεται "
      + "στην <b>" + hi.el + "</b> (" + pc(hi.share) + ") και είναι χαμηλότερο στην <b>"
      + lo.el + "</b> (" + pc(lo.share) + ") — δεν πέφτει ομαλά από αριστερά προς τα δεξιά.";
    S.ch3take = "Η υγεία κυριαρχεί σε όλη τη δεκαετία. Τα υπόλοιπα θέματα κινούνται "
      + "παράλληλα και σε πολύ χαμηλότερα επίπεδα — τα κοινοβούλια αλλάζουν θέμα πιο "
      + "αργά από ό,τι οι ειδήσεις.";
  } else {
    S.ch2take = "Across <b>" + DATA.gender_topics.length + " topics</b>, exactly one passes "
      + "half: <b>" + top.topic + "</b>, at " + pc(top.share) + ". Across the whole body of "
      + "speech, women hold <b>" + pc(DATA.gender_overall) + "</b>. The share peaks at the "
      + "<b>" + hi.bloc + "</b> (" + pc(hi.share) + ") and is lowest at the <b>" + lo.bloc
      + "</b> (" + pc(lo.share) + ") — it does not fall smoothly from left to right.";
    S.ch3take = "Health dominates the whole decade. The other topics move together and far "
      + "below it — parliaments change subject more slowly than the news does.";
  }
}
function applyLang(){
  takeaways();
  const S = T[LANG];
  document.querySelectorAll("[data-t]").forEach(n => {
    const k = n.getAttribute("data-t");
    if (S[k] !== undefined) n.innerHTML = S[k];
  });
  document.documentElement.lang = LANG === "el" ? "el" : "en";
  document.getElementById("btn-el").setAttribute("aria-pressed", LANG === "el");
  document.getElementById("btn-en").setAttribute("aria-pressed", LANG === "en");
  renderCounters(); buildMap(); renderPanel(); buildPicker();
  buildQuestions(); drawCaMap();
  drawGenderTopics(); drawGenderBlocs(); drawTimeline();
}
document.getElementById("btn-el").onclick = () => { LANG = "el"; applyLang(); };
document.getElementById("btn-en").onclick = () => { LANG = "en"; applyLang(); };
/* Numbers tick up once on load: at a stand it says "this is a lot of data"
   faster than the labels do. Skipped for anyone who asked for less motion. */
function countUp(){
  if (matchMedia("(prefers-reduced-motion: reduce)").matches) return;
  document.querySelectorAll("#counters b").forEach(node => {
    const shown = node.textContent;
    const target = parseInt(shown.replace(/\D/g, ""), 10);
    if (!target || target < 20) return;
    const dur = 900, t0 = performance.now();
    const step = now => {
      const k = Math.min(1, (now - t0) / dur);
      const eased = 1 - Math.pow(1 - k, 3);
      node.textContent = nf(Math.round(target * eased));
      if (k < 1) requestAnimationFrame(step);
      else node.textContent = shown;
    };
    requestAnimationFrame(step);
  });
}
/* ================= country picker ================= */
function buildPicker(){
  const sel = document.getElementById("countryPick");
  if (!sel) return;
  const S = T[LANG];
  const parl = [], other = [];
  GEO.data_countries.forEach(code => {
    const info = ISO2NAME[code];
    if (!info) return;
    (info.tier === "parliament" ? parl : other).push([code, name(info)]);
  });
  const opts = g => g.sort((a, b) => a[1].localeCompare(b[1], LANG))
    .map(([c, n]) => '<option value="' + c + '">' + n + "</option>").join("");
  sel.innerHTML = '<optgroup label="' + S.groupParl + '">' + opts(parl) + "</optgroup>"
    + '<optgroup label="' + S.groupOther + '">' + opts(other) + "</optgroup>";
  if (selected) sel.value = selected;
  sel.onchange = () => { touch(); select(sel.value); };
}
/* ================= the questions ================= */
/* Each chart is hidden until its question is answered, so the chart is the
   reveal rather than a spoiler sitting next to the question. */
const ASKED = {};
function questionSpecs(){
  const S = T[LANG];
  const topics = DATA.gender_topics;
  const blocs = DATA.gender_blocs;
  const series = DATA.timeline.series;
  const pc = v => String(v).replace(".", LANG === "el" ? "," : ".") + "%";
  const leastBloc = blocs.reduce((a, b) => b.share < a.share ? b : a);
  const topTopic = topics[0];
  const distract = ["Health", "Environment", "Economy", "Migration", "Conflicts"];
  const busiest = series.reduce((a, b) =>
    b.values.reduce((x, y) => x + y, 0) > a.values.reduce((x, y) => x + y, 0) ? b : a);
  return [
    { host:"ask1", chart:"genderTopics", draw:drawGenderTopics, q:S.q1,
      options:[topTopic, ...topics.filter(t => distract.includes(t.topic)).slice(0, 3)],
      label:t => tname(t), key:t => t.topic, answer:topTopic.topic,
      say: LANG === "el"
        ? "<b>" + topTopic.el + "</b> — " + pc(topTopic.share)
          + " του λόγου ανήκει σε γυναίκες, το μόνο θέμα πάνω από το μισό."
        : "<b>" + topTopic.topic + "</b> — " + pc(topTopic.share)
          + " of the speech is by women, the only topic above half." },
    // every bloc is offered, and left in spectrum order: these are an ordered
    // scale, so shuffling them would make the question harder to reason about,
    // not fairer.
    { host:"ask2", chart:"genderBlocs", draw:drawGenderBlocs, q:S.q2,
      keepOrder:true, options:blocs.slice(),
      label:b => LANG === "el" ? b.el : b.bloc, key:b => b.bloc, answer:leastBloc.bloc,
      say: LANG === "el"
        ? "<b>" + leastBloc.el + "</b> — μόλις " + pc(leastBloc.share)
          + " του λόγου ανήκει σε γυναίκες. Το ποσοστό δεν πέφτει ομαλά από αριστερά "
          + "προς τα δεξιά: την υψηλότερη συμμετοχή έχει η Κεντροαριστερά."
        : "<b>" + leastBloc.bloc + "</b> — just " + pc(leastBloc.share)
          + " of the speech is by women. The share does not fall smoothly from left to "
          + "right: the highest is the Centre-left." },
    { host:"ask3", chart:"timeline", draw:drawTimeline, q:S.q3,
      options:[busiest, ...series.filter(x => x !== busiest).slice(0, 3)],
      label:x => tname(x), key:x => x.topic, answer:busiest.topic,
      say: LANG === "el"
        ? "<b>" + (busiest.el || busiest.topic) + "</b> — κυριαρχεί κάθε χρονιά της "
          + "δεκαετίας, πολύ πάνω από όλα τα υπόλοιπα."
        : "<b>" + busiest.topic + "</b> — it leads in every year of the decade, far "
          + "above everything else." },
  ];
}
function buildQuestions(){
  const S = T[LANG];
  questionSpecs().forEach(spec => {
    const host = document.getElementById(spec.host);
    const chart = document.getElementById(spec.chart);
    if (!host || !chart) return;
    ASKED[spec.host] = false;
    chart.hidden = true;
    chart.innerHTML = "";
    const opts = spec.options.slice();
    if (!spec.keepOrder){
      for (let i = opts.length - 1; i > 0; i--){
        const j = Math.floor(Math.random() * (i + 1));
        [opts[i], opts[j]] = [opts[j], opts[i]];
      }
    }
    host.innerHTML = '<p class="quizq">' + spec.q + "</p>"
      + '<p class="quizhint">' + S.qHint + "</p>"
      + '<div class="quizopts"></div>'
      + '<button type="button" class="qskip">' + S.qSkip + "</button>";
    const box = host.querySelector(".quizopts");
    opts.forEach(o => {
      const b = document.createElement("button");
      b.type = "button";
      b.textContent = spec.label(o);
      b.onclick = () => { touch(); reveal(spec, opts, spec.key(o)); };
      box.appendChild(b);
    });
    host.querySelector(".qskip").onclick = () => { touch(); reveal(spec, opts, null); };
  });
}
function reveal(spec, opts, pickedKey){
  if (ASKED[spec.host]) return;
  ASKED[spec.host] = true;
  const S = T[LANG];
  const host = document.getElementById(spec.host);
  const chart = document.getElementById(spec.chart);
  const ok = pickedKey === spec.answer;
  const verdict = pickedKey === null ? ""
    : '<span class="quizverdict' + (ok ? " ok" : "") + '">'
      + (ok ? S.quizRight : S.quizWrong) + "</span>";
  host.innerHTML = '<p class="answerline">' + verdict + spec.say + "</p>";
  chart.hidden = false;
  chart.classList.add("revealwrap");
  spec.draw();
}
/* ================= blocs and topics on one map ================= */
/* Correspondence analysis: rows (blocs) and columns (topics) share a space, so
   direction from the centre is the thing to read, not raw distance. */
function drawCaMap(){
  const host = document.getElementById("camap");
  const m = DATA.camap;
  if (!host || !m) return;
  host.innerHTML = "";
  const W = 940, H = 660, pad = 84;
  const sx = v => pad + ((v + 1) / 2) * (W - 2 * pad);
  const sy = v => pad + ((1 - v) / 2) * (H - 2 * pad);
  const S = T[LANG];
  const dec = v => String(v).replace(".", LANG === "el" ? "," : ".");
  const svg = el("svg", { viewBox:`0 0 ${W} ${H}`, role:"img",
    "aria-label": T[LANG].ch4title });
  svg.appendChild(el("line", { class:"caaxis", x1:sx(0), x2:sx(0), y1:16, y2:H - 16 }));
  svg.appendChild(el("line", { class:"caaxis", x1:16, x2:W - 16, y1:sy(0), y2:sy(0) }));
  const a2 = el("text", { class:"caaxis-label", x:sx(0) + 8, y:20 });
  a2.appendChild(tx("D2 · " + dec(m.d2) + "%")); svg.appendChild(a2);
  const a1 = el("text", { class:"caaxis-label", x:18, y:sy(0) - 9 });
  a1.appendChild(tx("D1 · " + dec(m.d1) + "%")); svg.appendChild(a1);
  const place = [];
  const fits = (x, y, w) => !place.find(q =>
    Math.abs(q.x - x) < (q.w + w) / 2 + 4 && Math.abs(q.y - y) < 15);
  const put = (cx, cy, w, prefer) => {
    const ring = prefer === "up" ? [-1, 1] : [1, -1];
    for (const dir of ring)
      for (const d of [0, 15, 30, 46, 62])
        for (const dx of [0, -34, 34, -66, 66]){
          const x = cx + dx, y = cy + dir * (18 + d);
          if (fits(x, y, w)){ place.push({ x, y, w }); return [x, y]; }
        }
    place.push({ x: cx, y: cy + 18, w });
    return [cx, cy + 18];
  };
  // blocs claim label space first; topics fill in around them
  const maxN = Math.max(...m.blocs.map(b => b.n)) || 1;
  m.blocs.forEach(b => {
    const g = el("g", { class:"cabloc" });
    const x = sx(b.x), y = sy(b.y);
    const r = 8 + 13 * Math.sqrt(b.n / maxN);
    g.appendChild(el("circle", { cx:x, cy:y, r }));
    const label = LANG === "el" ? b.el : b.key;
    const [lx, ly] = put(x, y - r + 4, label.length * 7.8 + 12, "up");
    const tt = el("text", { x:lx, y:ly, "text-anchor":"middle" });
    tt.appendChild(tx(label)); g.appendChild(tt);
    const html = "<b>" + label + "</b> · " + S.lBloc + "<br>" + nf(b.n) + " "
      + (LANG === "el" ? "αποσπάσματα" : "segments") + "<br>"
      + (b.top || []).map(t => tname(t) + " " + dec(t.x) + "×").join("<br>");
    g.addEventListener("mouseenter", e => showTip(e, html));
    g.addEventListener("mousemove", e => showTip(e, html));
    g.addEventListener("mouseleave", hideTip);
    svg.appendChild(g);
  });
  m.topics.forEach(t => {
    const g = el("g", { class:"catopic" });
    const x = sx(t.x), y = sy(t.y);
    g.appendChild(el("rect", { x:x - 5, y:y - 5, width:10, height:10, rx:2 }));
    const label = tname(t);
    const [lx, ly] = put(x, y, label.length * 6.4 + 8, "down");
    const tt = el("text", { x:lx, y:ly, "text-anchor":"middle" });
    tt.appendChild(tx(label)); g.appendChild(tt);
    const html = "<b>" + label + "</b> · " + S.lTopicK + "<br>" + nf(t.n) + " "
      + (LANG === "el" ? "αποσπάσματα" : "segments") + "<br>"
      + (t.lead || []).map(l => (LANG === "el" ? l.el : l.bloc) + " "
          + dec(l.x) + "×").join("<br>");
    g.addEventListener("mouseenter", e => showTip(e, html));
    g.addEventListener("mousemove", e => showTip(e, html));
    g.addEventListener("mouseleave", hideTip);
    svg.appendChild(g);
  });
  host.appendChild(svg);
  const leg = document.createElement("div");
  leg.className = "calegend";
  leg.innerHTML = '<span><i class="b"></i>' + S.lBloc + "</span>"
                + '<span><i class="t"></i>' + S.lTopicK + "</span>";
  host.appendChild(leg);
  const note = document.getElementById("netNote");
  if (note) note.innerHTML = T[LANG].ch4note
    .replace("{P}", nf(m.segments)).replace("{E}", dec(m.explained));
}
/* ================= stand mechanics ================= */
/* The screen is left wherever the last visitor put it, so: rotate through
   countries while nobody is touching it, and return to a clean state after a
   minute of silence. Any interaction stops both. */
const IDLE_MS = 60000, ROTATE_MS = 3500, WAKE_MS = 20000;
const ROTATION = ["gr", "de", "it", "se", "nl", "pl", "es", "fr"];
let lastTouch = Date.now(), rotating = false, rotIdx = 0;
function touch(){
  lastTouch = Date.now();
  if (rotating){ rotating = false; }
}
["pointerdown", "keydown", "wheel", "touchstart"].forEach(ev =>
  addEventListener(ev, touch, { passive: true }));
function standTick(){
  const idle = Date.now() - lastTouch;
  if (!rotating && idle > WAKE_MS){
    rotating = true;
    rotIdx = Math.max(0, ROTATION.indexOf(selected));
  }
  if (idle > IDLE_MS && Object.values(ASKED).some(Boolean)) buildQuestions();
  if (rotating){
    rotIdx = (rotIdx + 1) % ROTATION.length;
    const code = ROTATION[rotIdx];
    if (ISO2NAME[code]){
      select(code);
      const sel = document.getElementById("countryPick");
      if (sel) sel.value = code;
    }
  }
}
setInterval(standTick, ROTATE_MS);
selected = "gr";
applyLang();
addEventListener("scroll", hideTip, { passive:true });
</script>