<!DOCTYPE html>
<html>
  <head>
    <title>DeReKo-Word-Vector-Distances: <%= $word %></title>
    <link rel="stylesheet" href="//code.jquery.com/ui/1.12.1/themes/base/jquery-ui.css">
    <link href="https://fonts.googleapis.com/css?family=Lato|Roboto+Condensed" rel="stylesheet">
    <script src="http://code.jquery.com/jquery-latest.min.js"></script>
    <script src = "https://cdn.datatables.net/1.10.16/js/jquery.dataTables.min.js"></script>
    <script src = "https://cdn.datatables.net/fixedcolumns/3.2.3/js/dataTables.fixedColumns.min.js"></script>
    <script src = "https://cdn.datatables.net/plug-ins/1.10.16/sorting/scientific.js"></script>
    <script src='https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.2/MathJax.js?config=TeX-MML-AM_CHTML'></script>
    <link rel="stylesheet" href="https://cdn.datatables.net/1.10.16/css/jquery.dataTables.min.css">
    <script
      src="http://code.jquery.com/ui/1.12.1/jquery-ui.min.js"
      integrity="sha256-VazP97ZCwtekAsvgPBSUwPFKdrwD3unUfSGVYrahUqU="
      crossorigin="anonymous"></script>
    <script>
     MathJax.Hub.Config({
       config: ["MMLorHTML.js"],
       jax: ["input/TeX","input/MathML","output/HTML-CSS","output/NativeMML", "output/PreviewHTML"],
       extensions: ["tex2jax.js","mml2jax.js","MathMenu.js","MathZoom.js", "fast-preview.js", "AssistiveMML.js", "a11y/accessibility-menu.js"],
       TeX: {
         extensions: ["AMSmath.js","AMSsymbols.js","noErrors.js","noUndefined.js"]
       }
     });     
     var urlParams = new URLSearchParams(window.location.search);
     var currentWords = urlParams.get("word");
     var CIIsearchWords = (currentWords && currentWords.includes(" ") ? '('+currentWords.replace(/ +/g, " oder ")+')' : currentWords);
     var collocatorTable = null;

     $(document).ready(function() {

       $('#firstable').hide();
       //Set up a callback to hear back when MathJax is done rendering the equations
       //  it finds
       $('#ccd').load(
         '@Url.Action("ActionResultMethod","ControllerName",{controller parameters})', 
         function () {
           MathJax.Hub.Queue(
             ["Typeset",MathJax.Hub,"ccd"],
             function () {                
               $("#lfmd_tt").attr("title",$("#lfmd_ttt").html());
               $("#npmi_tt").attr("title",$("#npmi_ttt").html());
             }
           );
         });          

       //set things up so that we can shove raw html into what is shown in the tooltip; 
       //  in this case, we will have already put into the title attribute the html that 
       //  contains the MathJax rendered equations (via what we do in the callback).
       $(function () {
         $(document).tooltip({
           content: function () {
             return $(this).prop('title');
           }
         });
       });

       $("input").bind("keydown", function(event) {
         // track enter key
         var keycode = (event.keyCode ? event.keyCode : (event.which ? event.which : event.charCode));
         if (keycode == 13) { // keycode for enter key
           // force the 'Enter Key' to implicitly click the Update button
           document.getElementById('SEARCH').click();
           return false;
         } else  {
           return true;
         }});

       $( "#tabs" ).on( "tabsactivate", function( event, ui ) {
         if (localStorage) localStorage['tab'] = ui.newTab.index();
       });

       $(function(){
         $("#SEARCH").click(function() {
           window.open($(location).attr('pathname')+'?'+$('form').serialize(), "_self");
         });
       });

       function changeCharColor(txt, heat, word) {
         var newText = "";
         for (var i=0, l=txt.length; i<l; i++) {
           newText += (i == 5 ? txt.charAt(i) : '<a href="http://korap.ids-mannheim.de/kalamar/?ql=cosmas2&q=' +
                                                CIIsearchWords + ' /' +  (i > 5? '%2B' : '-') + 'w' +
                                                Math.abs(i-5) + ':' +  Math.abs(i-5) + ' ' + word +
                                                '" target="korap"><span style="background-color:' +
                                                getHeatColor(heat[i]/maxHeat)+'">'+txt.charAt(i)+'</span></a>');
         }
         return newText;
       }

       function getHeatColor(value) {
         var hue=((1-value)*120).toString(10);
         return ["hsl(",hue,",90%,70%)"].join("");
       }

       function bitvec2window(n, heat, word) {
         var str = n.toString(2).padStart(10, "0")
                    .replace(/^([0-9]{5})/, '$1x')
                    .replace(/0/g, '·')
                    .replace(/1/g, '+');
         return changeCharColor(str, heat, word);
       }

       % use Mojo::ByteStream 'b';
       var paraResults = <%= b(Mojo::JSON::to_json($lists)) %>;
       var urlprefix =  new URLSearchParams(window.location.search);
       if (paraResults.length > 0  && paraResults[0] != null) {
         var nvecs = [],
             nwords = [],
             nranks = [],
             nmarked = [];
         for(var i = 0; i < paraResults.length; i++) {
           nwords = nwords.concat(paraResults[i].map(function(a){return a.word;}));
           nvecs = nvecs.concat(paraResults[i].map(function(a){return a.vector;}));
           nranks = nranks.concat(paraResults[i].map(function(a){return a.rank;}));
           nmarked = nmarked.concat(paraResults[i].map(function(a){return a.marked;}));
         }
         showMap({target: " "+urlParams.get('word')+" ", mergedEnd: 0, words: nwords, vecs: nvecs, ranks: nranks, marked: nmarked} );
         var t = $('#firsttable').DataTable({
           data: paraResults[0],
           "sScrollY": "780px",
           "bScrollCollapse": true,
           "bPaginate": false,
           "bJQueryUI": true,
           "dom": '<"top">rt<"bottom"flp><"clear">',
           "columns": [
             { "data": "rank", type: "allnumeric" },
             { "data": "dist",  render: function ( data, type, row ) {return data.toFixed(3) }},
             { "data": "word",  render: function ( data, type, row ) {urlprefix.set("word", data); return  '<a href="?' + urlprefix + '">' + data + '</a>' }}
           ],
           "columnDefs": [
             { className: "dt-right", "targets": [0,1] },
             { "searchable": false,
               "orderable": false,
               "targets": 0
             },
             { "orderSequence": [ "desc" ], "targets": [ 1 ] },
             { "orderSequence": [ "asc", "desc" ], "targets": [ 2 ] },
           ],
           "oLanguage": {
             "sSearch": "Filter: "
           },
           "order": [[ 1, 'desc' ]],
         } );

         t.on( 'order.dt search.dt', function () {
           t.column(0, {order:'applied'}).nodes().each( function (cell, i) {
             cell.innerHTML = i+1;
           } );
         } ).draw();

         $( "#first" ).clone().prependTo( "#tabs-2" );

       }


       var collocatorData = <%= b(Mojo::JSON::to_json($collocators)) %>;
       var maxHeat; // = Math.max.apply(Math,collocatorData.map(function(o){return o.cprob;}))

       if (collocatorData != null) {
         maxHeat = Math.max.apply(Math,collocatorData.map(function(o){return Math.max.apply(Math,o.heat);}))
         collocatorTable = $('#secondtable').DataTable({
           data: collocatorData,
           "sScrollY": "780px",
           "bScrollCollapse": true,
           "bPaginate": false,
           "bJQueryUI": true,
           "dom": '<"top">rt<"bottom"flp><"clear">',
           "columns": [
             { "data": "rank", type: "allnumeric" },
             { "data": "pos", width: "7%", sClass: "dt-center mono compact", render: function ( data, type, row ) {return bitvec2window(data, row.heat, row.word) }},
             { "data": "max",  render: function ( data, type, row ) {return data.toFixed(3) }},
             { "data": "average", render: function ( data, type, row ) {return data.toFixed(3) }},
             { "data": "prob", type: "scientific", render: function ( data, type, row ) {return data.toExponential(3) }  },
             { "data": "cprob", type: "scientific", render: function ( data, type, row ) {return data.toExponential(3) }  },
             { "data": "overall", type: "scientific", render: function ( data, type, row ) {return data.toExponential(3) } },
             { "data": "word",  sClass: "collocator" },
             { "data": "rank", type: "allnumeric" }
           ],
           "columnDefs": [
             { className: "dt-right", "targets": [0,2,3,4,5,6] },
             { className: "dt-center", "targets": [ 1] },
             { "searchable": false,
               "orderable": false,
               "targets": [0, 8]
             },
             { "type": "scientific", targets: [2,3,4,5,6] },
             { "orderSequence": [ "desc" ], "targets": [ 2, 3, 4, 5, 6 ] },
             { "orderSequence": [ "asc", "desc" ], "targets": [ 1, 7 ] },
             { "targets": [8], "visible": false }
           ],
           "oLanguage": {
             "sSearch": "Filter: "
           },
           "order": [[ 4, 'desc' ]],
         } );
         $.ajaxSetup({
           type: 'POST',
           timeout: 30000,
           error: function(xhr) {
             $('#display_error')
               .html('Error: ' + xhr.status + ' ' + xhr.statusText);
           }
         });

         classicCollocatorTable = $('#classicoloctable').DataTable({
           ajax: {
             method: "GET",
             url: '/derekovecs/getClassicCollocators',
             dataType: 'json',
             dataSrc: "",
             timeout: 30000,
             data: { w: paraResults[0][0].rank }
           },
           "initComplete":function(settings, json){
             $("td.collocator").click(function(){
               queryKorAPCII(this.textContent + " /w5 " + CIIsearchWords);
             });
           },
           "sScrollY": "780px",
           "bScrollCollapse": true,
           "bPaginate": false,
           "bJQueryUI": true,
           "dom": '<"top">rt<"bottom"flp><"clear">',
           "columns": [
             //                      { "data": "pos", width: "7%", sClass: "dt-center mono compact", render: function ( data, type, row ) {return bitvec2window(data, row.heat, row.word) }},
             { "data": "llr",  render: function ( data, type, row ) {return data.toFixed(1) }},
             { "data": "lfmd", render: function ( data, type, row ) {return data.toFixed(2) }},
//             { "data": "fpmi", type: "scientific", render: function ( data, type, row ) {return data.toExponential(2) }  },
             { "data": "npmi", type: "scientific", render: function ( data, type, row ) {return data.toExponential(2) }  },
             { "data": "llfmd", render: function ( data, type, row ) {return data.toFixed(2) }},
             { "data": "rlfmd", render: function ( data, type, row ) {return data.toFixed(2) }},
             { "data": "lnpmi", type: "scientific", render: function ( data, type, row ) {return data.toExponential(2) }  },
             { "data": "rnpmi", type: "scientific", render: function ( data, type, row ) {return data.toExponential(2) }  },
             { "data": "word",  sClass: "collocator" }
           ],
           "columnDefs": [
             { className: "dt-right", "targets": [0,1,2,3,4,5,6] },
             { "searchable": false,
               "orderable": false,
               "targets": []
             },
             { "type": "scientific", targets: [2,3,4,5,6] },
             { "orderSequence": [ "desc" ], "targets": [ 0, 1, 2, 3,4,5,6 ] },
             { "orderSequence": [ "asc", "desc" ], "targets": [ 7 ] },
           ],
           "oLanguage": {
             "sSearch": "Filter: "
           },
           "order": [[ 1, 'desc' ]],
         });

         $("td.collocator").click(function(){
           queryKorAPCII(this.textContent + " /w5 " + CIIsearchWords);
         });

         collocatorTable.on( 'order.dt search.dt', function () {
           collocatorTable.column(0, {order:'applied'}).nodes().each( function (cell, i) {
             cell.innerHTML = i+1;
           } );
         }).draw();
       }

       if (localStorage && !window.location.hash) { // let's not crash if some user has IE7
         var index = parseInt(localStorage['tab']||'0');
         $("#tabs").tabs({ active: index });
       }
       $("#tabs").css("visibility", "visible"); // now we can show the tabs
     });

     $(function(){
       $("#dropdownoptions").dialog({
         title: "Options",
         autoOpen: false,
         modal: false,
         draggable: false,
         height: "auto",
         width: "auto",
         resizable: false,
         buttons: {
           "Cancel": function() {
             $( this ).dialog( "close" );
           },
           "Apply": function() {
             window.open($(location).attr('pathname')+'?'+$('form').serialize(), "_self");
           }
         }
       });
     });

     $(function(){
       $("#showoptions").click(function(){
         $("#dropdownoptions").dialog("open");
         var target = $(this);
         $("#dropdownoptions").dialog("widget").position({
           my: 'left bottom',
           at: 'left bottom',
           of: target
         });
       });
     });

     $( function() {
       $( "#no_iterations" ).spinner({
         spin: function( event, ui ) {
           if ( ui.value < 1000 ) {
             $( this ).spinner( "value", 1000 );
             return false;
           } else if ( ui.value > 10000 ) {
             $( this ).spinner( "value", 10000 );
             return false;
           }
         }
       });
     } );

     $( function() {
       $( "#neighbours" ).spinner({
         spin: function( event, ui ) {
           if ( ui.value < 0 ) {
             $( this ).spinner( "value", 0 );
             return false;
           } else if ( ui.value > 200 ) {
             $( this ).spinner( "value", 200 );
             return false;
           }
         }
       });
     } );

     $( function() {
       $( "#cutoff" ).spinner({
         spin: function( event, ui ) {
           if ( ui.value < 100000 ) {
             $( this ).spinner( "value", 100000 );
             return false;
           } else if ( ui.value > 2000000 ) {
             $( this ).spinner( "value", 2000000 );
             return false;
           }
         }
       });
     } );

     $( function() {
       $( "#tabs" ).tabs().addClass('tabs-min');
     } );

     $( function() {
       $( ".controlgroup-vertical" ).controlgroup({
         "direction": "vertical"
       });
     } );

     $(function() {
       $( document ).tooltip({
         content: function() {
           return $(this).attr('title');
         }}
       )
     })

     $(function () {
       $(document).tooltip({
         content: function () {
           return $(this).prop('title');
         },
         show: null, 
         close: function (event, ui) {
           ui.tooltip.hover(
             function () {
               $(this).stop(true).fadeTo(400, 1);
             },    
             function () {
               $(this).fadeOut("400", function () {
                 $(this).remove();
               })
             });
         }
       });
     });
    </script>
    <script src="//d3js.org/d3.v3.min.js" charset="utf-8"></script>
    <script src="/derekovecs/js/tsne.js"></script>
    <script src="/derekovecs/js/som.js"></script>
    <script src="/derekovecs/js/labeler.js"></script>
    <style>
     body, input {
       font-family: Lato, sans-serif;
       font-size: 11pt;
     }

     .info {
       font-size: 8pt;
       margin-top: 4px;
       /* position: absolute;
          bottom: 0;
          left: 0;
          right: 0; */
     }

     h1,  h2, h3 {
       margin: 5px 10px 0 0;
       color: rgb(246,168,0);
       font-family: "Univers LT Std 47 Cn Lt", "Univers LT Std 67 Cn Lt", "Roboto Condensed", "Univers LT Std 67 Cn Bold", "UniversLTStd-BoldCn", "Times", 'League Gothic', Impact, sans-serif;
       font-weight: bold;
       line-height: 1.35;
       letter-spacing: normal;
       text-transform: uppercase;
       text-shadow: none;
       word-wrap: break-word;
     }


     showoptions, #SEARCH {
       margin-left: 10px;
       margin-right: 10px;
     }

     .tabs-left-vertical .ui-tabs-nav {
       position: absolute;
       width: 21em;
       transform: translate(-100%,0%) rotate(-90deg);
       transform-origin: 100% 0%;
     }

     .tabs-left-vertical .ui-tabs-nav li {
       float: right;
     }

     .tabs-left-vertical .ui-tabs-panel {
       padding-left: 3.5em;
     }

     .tabs-left-vertical .ui-tabs-panel {
       height: 20em;
     }

     .mono {
       font-family: "DejaVu Sans Mono", Inconsolata, SourceCodePro, "Courier New", Courier, monospace;
     }

     .ui-tooltip-content {
       font-size: 10pt;
       color: #222222;
     }

     svg > .ui-tooltip-content {
       font-size: 8pt;
       color: #222222;
     }

     a.merged {
       color: green;
       fill: green;
     }

     #first a {
       text-decoration: none;
     }

     a.marked, #first a.marked {
       text-decoration: underline;
     }

     a.target {
       color: red;
       fill: red;
     }

     table.display {
       width: 40% important!;
       margin: 1;  /* <- works for me this way ****/
     }

     table.dataTable thead th, table.dataTable thead td, table.dataTable tbody td {
       padding: 2px 2px;
       //  border-bottom: 1px solid #111;
     }

     td.collocator {
       cursor: pointer;
     }

     #collocators {
       margin-bottom: 15px;
     }

     #header {
       width: 100%;
       //   border: 1px solid red;
       overflow: hidden; /* will contain if #first is longer than #second */
     }

     #topwrapper {
       width: 100%;
       //   border: 1px solid red;
       overflow: hidden; /* will contain if #first is longer than #second */
     }

     #wrapper {
       //   border: 1px solid red;
       overflow: hidden; /* will contain if #first is longer than #second */
     }

     #pagetitle {
       max-width: 460px;
       margin-right: 20px;
       float: left;
       overflow: hidden; /* if you don't want #second to wrap below #first */
       //    border: 1px solid green;
     }

     #options {
       float: left;
       width: 800px;
       margin: 10px;
       overflow: hidden; /* if you don't want #second to wrap below #first */
     }

     #word {
       width: 50%;
     }

     #first {
       margin-right: 20px;
       float: left;
       overflow: hidden; /* if you don't want #second to wrap below #first */
       //    border: 1px solid green;
     }
     #tabs {
       margin-right: 20px;
       overflow: hidden; /* if you don't want #second to wrap below #first */
     }

     .tabs-min {
       background: transparent;
       border: none;
     }

     .tabs-min .ui-widget-header {
       background: transparent;
       border: none;
       border-bottom: 1px solid #c0c0c0;
       -moz-border-radius: 0px;
       -webkit-border-radius: 0px;
       border-radius: 0px;
     }

     .tabs-min .ui-tabs-nav .ui-state-default {
       background: transparent;
       border: none;
     }

     .tabs-min .ui-tabs-nav .ui-state-active {
       background: transparent url(derekovecs/img/uiTabsArrow.png) no-repeat bottom center;
       border: none;
     }

     .tabs-min .ui-tabs-nav .ui-state-default a {
       color: #c0c0c0;
     }

     .tabs-min .ui-tabs-nav .ui-state-active a {
       color: rgb(246,168,0);
     }

     #embed {
       max-width: 802px;
       border: 1px solid #333;
     }

     #second {
       min-width: 800px;
       //       border: 1px solid #333;
       overflow: hidden; /* if you don't want #second to wrap below #first */
     }
     #som2 svg {
       border: 1px solid #333;
     }

     #cost {
       font-size: 8pt;
       color: #222222;
       margin-top: 4px;
       margin-bottom: 12px;
     }

     #sominfo1, #sominfo {
       font-size: 8pt;
       color: #222222;
       margin-top: 0px;
     }

     #somcolor1, #somcolor2, #somcolor3 {
       display: inline-block;
       height: 10px;
       width: 10px;
     }

     #third {
       border: 1px solid #333;
     }

     th {
       color: rgb(246,168,0);
       font-family: "Univers LT Std 47 Cn Lt", "Univers LT Std 67 Cn Lt", "Roboto Condensed", "Univers LT Std 67 Cn Bold", "UniversLTStd-BoldCn", "Times", 'League Gothic', Impact, sans-serif;
     }

     p.citation {
       font-size: 8pt;
       color: #999999;
     }
    </style>
    <script>

     var opt = {epsilon: <%= $epsilon %>, perplexity: <%= $perplexity %>},
         mapWidth = 800, // width map
         mapHeight = 800,
         jitterRadius = 7;

     var T = new tsnejs.tSNE(opt); // create a tSNE instance

     var Y;

     var data;
     var labeler;

     function applyJitter() {
       svg.selectAll('.tsnet')
          .data(labels)
          .transition()
          .duration(50)
          .attr("transform", function(d, i) {
            T.Y[i][0] = (d.x - mapWidth/2 - tx)/ss/20;
            T.Y[i][1] = (d.y - mapHeight/2 - ty)/ss/20;
            return "translate(" +
                                                      (d.x) + "," +
                                                      (d.y) + ")";
          });
     }

     function updateEmbedding() {
       var Y = T.getSolution();
       svg.selectAll('.tsnet')
          .data(data.words)
          .attr("transform", function(d, i) {
            return "translate(" +
                                                       ((Y[i][0]*20*ss + tx) + mapWidth/2) + "," +
                                                       ((Y[i][1]*20*ss + ty) + mapHeight/2) + ")"; });
     }

     var svg;
     var labels = [];
     var anchor_array = [];
     var text;

     function drawEmbedding() {
       var urlprefix =  new URLSearchParams(window.location.search);
       urlprefix.delete("word");
       urlprefix.append("word","");

       $("#embed").empty();
       var div = d3.select("#embed");

       // get min and max in each column of Y
       var Y = T.Y;

       svg = div.append("svg") // svg is global
                .attr("width", mapWidth)
                .attr("height", mapHeight);

       var g = svg.selectAll(".b")
                  .data(data.words)
                  .enter().append("g")
                  .attr("class", "tsnet");

       g.append("a")
        .attr("xlink:href", function(word) {
          return "?"+urlprefix+word; })
        .attr("class", function(d, i) {
          var res="";
          if(data.marked[i]) {
            res="marked ";
          }
          if(data.target.indexOf(" "+d+" ") >= 0) {
            return res+"target";
          } else if(data.ranks[i] < data.mergedEnd) {
            return res+"merged";
          } else {
            return res;
          }
        })
        .attr("title", function(d, i) {
          if(data.mergedEnd > 0) {
            if(data.ranks[i] >= data.mergedEnd) {
              return "rank: "+i +"  "+"freq. rank: "+(data.ranks[i]).toString().replace(/\B(?=(\d{3})+(?!\d))/g, ",");
            } else {
              return "rank: "+i +"  "+"freq. rank: "+data.ranks[i].toString().replace(/\B(?=(\d{3})+(?!\d))/g, ",") + " (merged vocab)";
            }
          } else {
            return "rank: "+i +"  "+"freq. rank: "+data.ranks[i].toString().replace(/\B(?=(\d{3})+(?!\d))/g, ",");
          }
        })
        .append("text")
        .attr("text-anchor", "top")
        .attr("font-size", 12)
        .text(function(d) { return d; });

       var zoomListener = d3.behavior.zoom()
                            .scaleExtent([0.1, 10])
                            .center([0,0])
                            .on("zoom", zoomHandler);
       zoomListener(svg);
     }

     var tx=0, ty=0;
     var ss=1;
     var iter_id=-1;

     function zoomHandler() {
       tx = d3.event.translate[0];
       ty = d3.event.translate[1];
       ss = d3.event.scale;
       updateEmbedding();
     }

     var stepnum = 0;

     function stopStep() {
       clearInterval(iter_id);
       text = svg.selectAll("text");

       // jitter function needs different data and co-ordinate representation
       labels = d3.range(data.words.length).map(function(i) {
         var x = (T.Y[i][0]*20*ss + tx) + mapWidth/2;
         var y = (T.Y[i][1]*20*ss + ty) + mapHeight/2;
         anchor_array.push({x: x, y: y, r: jitterRadius});
         return {
           x: x,
           y: y,
           name: data.words[i]
         };
       });

       // get the actual label bounding boxes for the jitter function
       var index = 0;
       text.each(function() {
         labels[index].width = this.getBBox().width;
         labels[index].height = this.getBBox().height;
         index += 1;
       });


       //  setTimeout(updateEmbedding, 1);
       //  setTimeout(
       labeler =   d3.labeler()
                     .label(labels)
                     .anchor(anchor_array)
                     .width(mapWidth)
                     .height(mapHeight)
                     .update(applyJitter);
       //         .start(1000);

       iter_id = setInterval(jitterStep, 1);
     }

     var jitter_i=0;

     function jitterStep() {
       if(jitter_i++ > 100) {
         clearInterval(iter_id);
       } else {
         labeler.start2(10);
         applyJitter();
       }
     }

     var last_cost=1000;

     function step() {
       var i = T.iter;

       if(i > <%= $no_iterations %>) {
         stopStep();
       } else {
         var cost = Math.round(T.step() * 100000) / 100000; // do a few steps
         $("#cost").html("tsne iteration " + i + ", cost: " + cost.toFixed(5));
         if(i % 250 == 0 && cost >= last_cost) {
           stopStep();
         } else {
           last_cost = cost;
           updateEmbedding();
         }
       }
     }

     function showMap(j) {
       data=j;
       T.iter=0;
       iter_id = -1;
       last_cost=1000;
       T.initDataRaw(data.vecs); // init embedding
       drawEmbedding(); // draw initial embedding

       if(iter_id >= 0) {
         clearInterval(iter_id);
       }
       //T.debugGrad();
       iter_id = setInterval(step, 1);
       if(true) { // (<%= $show_som %>) {
         makeSOM(j, <%= $no_iterations %>);
       }
     }
     var queryword;

     function showCollocatorSOM() {
       if (collocatorTable) {
         var ctableData = collocatorTable.rows().data();
         var nwords = [],
             nranks = [];
         for (var i=0; i < ctableData.length && i < 100; i++) {
           nranks.push(ctableData[i].rank);
           nwords.push(ctableData[i].word);
         }
         $.post('/derekovecs/getVecsByRanks',
                JSON.stringify(nranks),
                function(data, status){
                  showMap({target: " "+urlParams.get('word')+" ", mergedEnd: 0, words: nwords, vecs: data, ranks: nranks, marked: Array(100).fill(false)} );
                }, 'json');
       }
     }

     function onload() {
       queryword = document.getElementById('word');
     }

     function queryKorAP() {
       window.open('http://korap.ids-mannheim.de/kalamar/?q='+queryword.value, 'KorAP');
     }

     function queryKorAPCII(query) {
       window.open('http://korap.ids-mannheim.de/kalamar/?ql=cosmas2&q='+query, 'KorAP');
     }
    </script>
  </head>
  <body onload="onload()">
    <div style="display:none;" id="lfmd_ttt">Log-frequency biased mutual dependency: $$log_2\frac{p^3(w_1,w_2)}{p(w_1) p(w_2)}$$<p class="citation">Thanopoulos, A., Fakotakis, N., Kokkinakis, G. (2002): <a href="http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.11.8101&rep=rep1&type=pdf">Comparative evaluation of collocation extraction metrics</a>. In: Proc. of LREC 2002: 620–625.</p></div>
    <div style="display:none;" id="npmi_ttt">Normalized pointwise mutual information: $$\frac{log_2\frac{p(w_1,w_2)}{p(w_1)p(w_2)}}{-log_2(p(w_1,w_2))}$$<p class="citation">Bouma, Gerlof (2009): <a href="https://svn.spraakdata.gu.se/repos/gerlof/pub/www/Docs/npmi-pfd.pdf">Normalized (pointwise) mutual information in collocation extraction</a>. In Proceedings of GSCL.</p></div>
    <div id="header">
      <div id="pagetitle">
        <h1>DeReKo-Vectors</h1>
      </div>
      <div id="options"  class="widget">
        <form id="queryform">
          <input id="word" type="text" name="word"  placeholder="Word(s) to be searched" value="<%= $word %>"
                 title="When looking for multiple words use spaces as separators to search around the average vector and | as separator to get the neighbours for each word."/>
          <input id="SEARCH" type="button" value="SEARCH">
          <input type="button" id="showoptions" name="showoptions" value="Options" />
        </form>
        <div id="dropdownoptions" style="display: none">
          <form id="optionsform">
            <div class="controlgroup-vertical">
              <label for="cutoff">cut-off</label>
              <input id="cutoff" type="text" name="cutoff" size="10"  value="<%= $cutoff %>" title="Only consider the most frequent x word forms.">
              <label for="dedupe">dedupe</label>
              <input id="dedupe" type="checkbox" name="dedupe" value="1" <%= ($dedupe ? "checked" : "") %> title="radically filter out any near-duplicates">
              % if($mergedEnd > 0) {
                <label for="sbf">backw.</label>
                <input id="sbf" type="checkbox" name="sbf" value="1" <%= ($searchBaseVocabFirst ? "checked" : "") %> title="If checkecked base vocabulary will be searched first. Otherwise merged vocabulray will be searched first.">
              % }
              <label for="neighbours">max. neighbours:</label>
              <input id="neighbours" size="4" name="n" value="<%= $no_nbs %>">
              <label for="no_iterations">max. iterations</label>
              <input id="no_iterations" name="N" size="4" value="<%= $no_iterations %>">
              <!-- <label for="dosom">SOM</label>
                   <input id="dosom" type="checkbox" name="som" value="1" <%= ($show_som ? "checked" : "") %>> -->
              % if($collocators) {
                <label for="sortby">window/sort</label>
                <select id="sortby" name="sort">
                  <option value="0"  <%= ($sort!=1 && $sort!=2? "selected":"") %>>auto focus</option>
                  <!-- <option value="1"  <%= ($sort==1? "selected":"") %>>any single position</option>
                       <option value="2" <%= ($sort==2? "selected":"") %>>whole window</option> -->
                </select>
              % }
              <input type="button" value="→ KorAP" onclick="queryKorAP();" title="query word with KorAP"/>
            </div>
          </form>
        </div>
      </div>
    </div>
    <div id="topwrapper">
      <div style="visibility: hidden;" id="tabs">
        <ul>
          <li><a href="#tabs-1">Semantics (TSNE-map)</a></li>
          <li><a href="#tabs-2">Semantics (SOM)</a></li>
          <li><a href="#tabs-3">Syntagmatic (collocators)</a></li>
        </ul>
        <div id="tabs-1">
          % if($lists && (@$lists) > 0 && (@$lists)[0]) {
            <div id="wrapper">
              <div id="first" style="width: 320px">
                <table class="display compact nowrap" id="firsttable">
                  <thead>
                    <tr>
                      <th align="right">#</th><th align="right">cos</th><th align="left">similars</th>
                    </tr>
                  </thead>
                  <tbody>
                    <tr>
                      <td align="right">
                      </td>
                      <td align="right">
                      </td>
                      <td></td>
                    </tr>
                  </tbody>
                </table>
              </div>
              <script>
              </script>
              <div id="second">
                <div id="embed">
                </div>
                <div id="cost">
                </div>
              </div>
            </div>
          % } elsif($word !~ /^\s*$/) {
          <div id="wrapper">
            <div id="not-found-dialog" title="Not found">
              <p>ERROR: "<%= $word %>" not found in vocabluary.</p>
              <p>If you are sure you have spelled the word as intended, you can try to increase the cutoff parameter in the options menu.</p>
            </div>
            <script>
             $( function() {
               $( "#not-found-dialog" ).dialog({
                 autoOpen: true,
                 modal: true,
                 draggable: false,
                 height: "auto",
                 width: "auto",
                 resizable: false,
                 buttons: {
                   "OK": function() {
                     $( this ).dialog( "close" );
                   },
                   "Apply": function() {
                     window.open($(location).attr('pathname')+'?'+$('form').serialize(), "_self");
                   }
                 }
               });
             });
            </script>
          </div>
             % }
        </div>
        <div id="tabs-2">
          <div id="som2" style="width: 800;">
          </div>
          <div id="sominfo1"><span id="somcolor1">   </span> <span id="somword1"> </span> <span id="somcolor2">   </span> <span id="somword2"> </span> <span id="somcolor3">   </span></div>
          <div id="sominfo">SOM iteration <span id="iterations">0</span></div>
        </div>
        <div id="tabs-3" style="width:1500px">
          <div style="width: 55%; float: left;" id="secondt">
            <table class="display compact nowrap"  id="secondtable">
              <thead>
                <tr>
                  % if($collocators) {
                    <th>#</th>
                    <th align="center" title="Activation of the respective collocator in the columns around the target normalized by its maximum (red). Columns selected by the auto-focus funtion (which window of all possible column-combinations maximizes ⊥(a/c)?) are marked with +. Click on the column postions to lauch a KorAP query with target word and collocator in the respective position.">w'</th>
                    <th align="right" title="Maximum activation of the collocator anywhere in the output layer.">max(a)</th>
                    <th title="Average raw activation of the collocator in the columns selected by auto-focus." align="right">⟨a⟩</th>
                    <th title="Sum of activations over the selected colunns normalized by the total activation sum of the selected columns." align="right">Σa/Σw'</th>
                    <th title="Co-norm of the column-normalized activations over the colunns selected by the auto-focus." align="right">⊥(a/c)</th>
                    <th title="Sum of the activations over the whole window normalized by the total window sum (no auto-focus)." align="right">Σa/Σw</th>
                    <th align="left">collocator</th>
                  % }
                </tr>
              </thead>
              <tbody>
                <tr>
                  <td align="right">
                  </td>
                  <td align="right">
                  </td>
                  <td align="right">
                  </td>
                  <td align="right">
                  </td>
                  <td align="right">
                  </td>
                  <td align="right">
                  </td>
                </tr>
              </tbody>
            </table>
          </div>
          <div id="ccd" style="margin-left:0px; float:right; width:800px;">
            <table class="display compact nowrap" id="classicoloctable">
              <thead>
                <tr>
                  <th>LLR</th>
                  <th id="lfmd_tt">LFMD</th>
                  <!--                   <th title="frequency biased pointwise mutual information">fpmi</th>-->
                  <th id="npmi_tt">nPMI</th>
                  <th title="log-frequency biased mutual dependency - left neighbour only">l-LFMD</th>
                  <th title="log-frequency biased mutual dependency - right neighbour only">r-LFMD</th>
                  <th title="normalized pointwise mutual information - left neighbour only">l-nPMI</th>
                  <th title="normalized pointwise mutual information - right neighbour only">r-nPMI</th>
                  <th title="raw max frequency of collocation within window">raw</th>
                  <th>collocator</th>
                </tr>
              </thead>
              <tbody>
                <tr>
                  <td align="right">
                  </td>
                  <td align="right">
                  </td>
                  <td align="right">
                  </td>
                  <td align="right">
                  </td>
                  <td align="right">
                  </td>
                  <td align="right">
                  </td>
                  <td align="right">
                  </td>
                  <td align="right">
                  </td>
                </tr>
              </tbody>
            </table>
          </div>
          <div style="clear:both" ></div>
          <div style="float: right; overflow: hidden" id="extra"><button onClick="showCollocatorSOM()"> </button></div>
        </div>
      </div>
    </div> <!-- topwrapper  -->
    <div style="clear: both;"></div>
    </div>
    % if($training_args && (@$lists)[0]) {
      <div class="info">
        % if($training_args =~ /-type\s*3/) {
          Calculations are based on a word embedding model trained with an extension of <a href="https://github.com/wlin12/wang2vec/">wang2vec</a> using the following parameters: <%= $training_args %>
        % } else {
          Calculations are based on a word embedding model trained with <a href="https://code.google.com/p/word2vec/">word2vec</a> using the following parameters: <%= $training_args %>
        % }
      </div>
    % }
  </body>
</html>