plotsjs.js

async () => {
	// set testFn() function on globalThis, so you html onlclick can access it
 
	
	 globalThis.testFn = () => {
	   document.getElementById('demo').innerHTML = "Hello?"
	 }; 
 
	 const d3 = await import("https://cdn.jsdelivr.net/npm/d3@7/+esm");
	//  const d3 = await import("https://cdn.jsdelivr.net/npm/d3@5/+esm");
	 const $ = await import("https://cdn.jsdelivr.net/npm/[email protected]/dist/jquery.min.js");

	 globalThis.$ = $;
	 globalThis.d3 = d3;
	 
	 globalThis.d3Fn = () => {
		 d3.select('#viz').append('svg')
				 .append('rect')
				 .attr('width', 50)
				 .attr('height', 50)
				 .attr('fill', 'black')
				 .on('mouseover', function(){d3.select(this).attr('fill', 'red')})
				 .on('mouseout', function(){d3.select(this).attr('fill', 'black')});

	 }; 

	 globalThis.testFn_out = (val,model_radio_c) => {
		// document.getElementById('demo').innerHTML = val
		console.log(val, "testFn_out"); 
		// globalThis.d3Fn(); 
		return([val,model_radio_c]);
	  }; 


	  globalThis.testFn_out_json = (data) => {
		console.log(data, "testFn_out_json --"); 
		// var $ = jQuery;
		// console.log( d3.select('#d3_embeddings')); 
		return(['string', {}])
	}

	  globalThis.testFn_out_json_tr = (data) => {
		// data['input|output']['words|tokens'] 

		console.log(data, "testFn_out_json_tr new"); 
		var $ = jQuery;
		console.log("$('#d3_embeddings')"); 
		console.log($('#d3_embeddings')); 
		// d3.select('#d3_embeddings').html("");


		d3.select("#d3_embeds_source").html("here");

		// words or token visualization ? 
		console.log(d3.select("#select_type").node().value);   
		d3.select("#select_type").attr("hidden", null); 
		d3.select("#select_type").on("change", change); 
		change();
		// tokens 
		// network plots; 
		['input', 'output'].forEach(text_type => {
			['tokens', 'words'].forEach(text_key => {
				// console.log(type, key, data[0][text_type]);
				data_i = data[0][text_type][text_key]; 
				embeddings_network([], data_i['tnse'], data_i['similar_queries'], type=text_type +"_"+text_key, )
			}); 
		});
		



		
		// data_proj = data['tsne'];  // it is not a dict. 
		// d3.select("#d3_embeds_" + type).html(scatterPlot(data_proj, data_sentences, dict_token_sentence_id, similar_vocab_queries, 'd3_embeds_'+type, type ));
		// d3.select('#d3_embeddings').append(function(){return  Tree(root);});
		// embeddings_network(data['source_tokens'], data['dict_projected_embds_all']['source'], data['similar_vocab_queries']['source'], "source") 
         
		// source
		// embeddings_graph(data['dict_projected_embds_all'],source_tks_list, data['source_tokens'], data['similar_vocab_queries'], "source"); //, data['similar_text'], data['similar_embds']); 
		// target decision: all tokens ? or separeted by language ? hint: do not assume they share the same dict.
		// embeddings_graph(data['dict_projected_embds_all'], translated_tks_text, translated_tks_ids_by_sent, data['similar_vocab_queries'], "target"); //, data['similar_text'], data['similar_embds']); 
                
		return(['string', {}])

	}
	
	function change() {
		show_type = d3.select("#select_type").node().value;
		// hide all 
		d3.selectAll(".d3_embed").attr("hidden",''); 
		d3.selectAll(".d3_graph").attr("hidden", '');
		// show current type;
		d3.select("#d3_embeds_input_" + show_type).attr("hidden", null); 
		d3.select("#d3_embeds_output_" + show_type).attr("hidden", null); 
		d3.select("#d3_graph_input_" + show_type).attr("hidden", null); 
		d3.select("#d3_graph_output_" + show_type).attr("hidden", null); 
	}

	

    function embeddings_network(tokens_text, dict_projected_embds, similar_vocab_queries, type="source", ){
		// tokens_text : not used; 
		// dict_projected_embds = tnse 
        console.log("Each token is a node; distance if in similar list", type ); 
		console.log(tokens_text, dict_projected_embds, similar_vocab_queries); 
        // similar_vocab_queries_target[key]['similar_topk']

        var nodes_tokens = {}
        var nodeHash = {};
        var nodes = []; // [{id: , label: }]
        var edges = []; // [{source: , target: weight: }]
        var edges_ids = []; // [{source: , target: weight: }]

        // similar_vocab_queries {key: {similar_topk : [], distance : []}}
        console.log('similar_vocab_queries', similar_vocab_queries); 
		prev_node = ''; 
        for ([sent_token, value] of Object.entries(similar_vocab_queries)) {
			// console.log('dict_projected_embds',sent_token, parseInt(sent_token), value, dict_projected_embds); 
            // sent_token = parseInt(sent_token); // Object.entries assumes key:string;  
            token_text = dict_projected_embds[sent_token][3]
            if (!nodeHash[sent_token]) {
                nodeHash[sent_token] = {id: sent_token, label: token_text, type: 'sentence', type_i: 0};  
                nodes.push(nodeHash[sent_token]);
            }
            sim_tokens = value['similar_topk']
            dist_tokens = value['distance']

            for (let index = 0; index < sim_tokens.length; index++) {
                const sim = sim_tokens[index];
                const dist = dist_tokens[index];
				
                token_text_sim = dict_projected_embds[sim][3]
                if (!nodeHash[sim]) {
                    nodeHash[sim] = {id: sim, label: token_text_sim, type:'similar', type_i: 1}; 
                    nodes.push(nodeHash[sim]);
                }
                edges.push({source: nodeHash[sent_token], target: nodeHash[sim], weight: dist});
                edges_ids.push({source: sent_token, target: sim, weight: dist});
            }
			
			if (prev_node != '' ) {
				edges.push({source: nodeHash[prev_node], target:nodeHash[sent_token], weight: 1}); 
				edges_ids.push({source: prev_node, target: sent_token, weight: 1}); 
			}
			prev_node = sent_token;
			
        }
        console.log("TYPE", type, edges, nodes, edges_ids, similar_vocab_queries)   
        // d3.select('#d3_graph_input_tokens').html(networkPlot({nodes: nodes, links:edges}, similar_vocab_queries, div_type=type) );
		// type +"_"+key
		d3.select('#d3_graph_'+type).html("");
		d3.select('#d3_graph_'+type).append(function(){return  networkPlot({nodes: nodes, links:edges}, similar_vocab_queries, dict_projected_embds,div_type=type);});

        // $('#d3_embeds_network_target').html(networkPlot({nodes: nodes, links:edges}));
        // $('#d3_embeds_network_'+type).html(etworkPlot({nodes: nodes, link:edges}));
    }

    function embeddings_graph(data, source_tokens_text_list, source_tokens, similar_vocab_queries, type="source") {
        /*
        ### source  
            data: dict_projected_embds_all = { token_id: [tns1, tns2, token_id, token_text] ...}
        ### target 
        */
        console.log("embeddings_graph"); 
        active_sentences = get_sentences();
        console.log("active_sentences", active_sentences, type); // working

        active_sentences_tokens_text = active_sentences.map((x) => source_tokens_text_list[x]);
        active_sentences_tokens = active_sentences.map((x) => source_tokens[x]);

        console.log(active_sentences_tokens); 

        data_sentences = []
        dict_token_sentence_id = {}
        // active_sentences_tokens.forEach((sentence, i) => {
		source_tokens_text_list.forEach((sentence, i) => {
            /// opt1
            proj = []
            sentence.forEach((tok, tok_j) => {
                console.log("tok,tok_j", tok, tok_j);
                token_text = source_tokens_text_list[i][tok_j]; 
                proj.push([data[tok][0], data[tok][1], token_text, i, tok_j, tok])
                if (token_text in dict_token_sentence_id){
                dict_token_sentence_id[token_text].push(i); 
                }
                else{
                    dict_token_sentence_id[token_text] = [i]; 
                }
            });
            data_sentences.push(proj); 
        }); 
        console.log("data_sentences error here in target", data_sentences);

        console.log(data);

        $('#d3_embeds_' + type).html(scatterPlot(data, data_sentences, dict_token_sentence_id, similar_vocab_queries, 'd3_embeds_'+type, type ));
    }


/*
	data: dict_projected_embds_all = { token_id: [tns1, tns2, token_id, token_text] ...}
*/
function scatterPlot(data, data_sentences, dict_token_sentence_id, similar_vocab_queries, div_name, div_type="source", {
	width = 400, // outer width, in pixels
	height , // outer height, in pixels
	r = 3, // radius of nodes
	padding = 1, // horizontal padding for first and last column
	// text = d => d[2],
} = {}){
	// data_dict = data[div_type]; 
	var data_dict = { ...data[div_type] }; 
	data = Object.values(data[div_type]);
	// similar_vocab_queries = similar_vocab_queries[div_type];
	var similar_vocab_queries = { ...similar_vocab_queries[div_type] }; 
	console.log("div_type, data, data_dict, data_sentences, dict_token_sentence_id, similar_vocab_queries"); 
	console.log(div_type, data, data_dict, data_sentences, dict_token_sentence_id, similar_vocab_queries); 

  // Create the SVG container.
  var margin = {top: 10, right: 10, bottom: 30, left: 50 },
    width = width - margin.left - margin.right,
    height = 400 - margin.top - margin.bottom;

// append the svg object to the body of the page
var svg = d3.create("svg")
	// .attr("style", "max-width: 100%; height: auto; height: intrinsic;")
    .attr("width", width + margin.left + margin.right)
    .attr("height", height + margin.top + margin.bottom)
  
	svg.append("g")
    .attr("transform",
          "translate(" + margin.left + "," + margin.top + ")");

//   const svg = d3.create("svg")
//       .attr("width", width)
//       .attr("height", height);

	// Add X axis
	min_value_x = d3.min(data, d => d[0])
	max_value_x = d3.max(data, d => d[0])


	var x = d3.scaleLinear()
		.domain([min_value_x, max_value_x]) 
		.range([ margin.left , width  ]);

	svg.append("g")
		// .attr("transform", "translate("+ margin.left +"," + height + ")")
		.attr("transform", "translate(0," + height + ")")
		.call(d3.axisBottom(x));

	// Add Y axis
	min_value_y = d3.min(data, d => d[1])
	max_value_y = d3.max(data, d => d[1])

	var y = d3.scaleLinear()
		.domain([min_value_y, max_value_y])
		.range([ height, margin.top]);

	svg.append("g")
		.attr("transform", "translate("+ margin.left +", 0)")
		.call(d3.axisLeft(y));

	svg.selectAll()
	  .data(data)
	  .enter()
	  .append('circle')
	  .attr("class", function (d) { return "dot-" + d[2] } )
		// .attr("cx", function (d) { return x(d[0] + margin.left); } )
		.attr("cx", function (d) { return x(d[0]); } )
		.attr("cy", function (d) { return y(d[1] - margin.bottom); } )
		.attr("r", 5)
		.style("fill", "#e85252")
		.style("fillOpacity",0.2)
		.style("stroke", "#000000ff")
		.style("strokeWidth", 1)
		.style("opacity", 0.7);

	// svg.selectAll()
	// 	.data(data)
	// 	.enter()
	// 	.append('text')
	// 	.text(d => d[3])
	// 		.attr("class", function (d) { return "text-" + d[2] } )
	// 		// .attr("cx", function (d) { return x(d[0] + margin.left); } )
	// 		.attr("x", function (d) { return x(d[0]); } )
	// 		.attr("y", function (d) { return y(d[1] - margin.bottom); } )
	// 		.attr("dy", "0.35em");

	// colors = ['#cb1dd1',"#e0ac2b", "#e85252", "#6689c6", "#9a6fb0", "#a53253"];
	colors = ['#6689c6',"#e0ac2b", "#e0ac2b", "#cb1dd1", "#cb1dd1", "#cb1dd1"];

	// create a tooltip
	var Tooltip = d3.select("#"+div_name)
					.append("div")
					.style("opacity", 0)
					.attr("class", "tooltip")
					.style("background-color", "white")
					.style("border", "solid")
					.style("border-width", "2px")
					.style("border-radius", "5px")
					.style("padding", "5px")
					.text("I'm a circle!"); 

	// const colorScale = d3.scaleOrdinal()
	// 					.domain(domain_values)
	// 					.range(["#e0ac2b", "#e85252", "#6689c6", "#9a6fb0", "#a53253"]);
	// colorScale(d.group)
	
	for (let i_snt = 0; i_snt < data_sentences.length; i_snt++) {
		const sentence = data_sentences[i_snt];
		// similar_tokens; 
		console.log("sentence: ", sentence); 

		svg.selectAll()
			.data(sentence)
			.enter()
			.append('text')
			.text(d => d[2])
			.attr("class", function (d) { return "text-" + d[2] + " sent-" + i_snt  } )
				// .attr("cx", function (d) { return x(d[0] + margin.left); } )
				.attr("x", function (d) { return x(d[0]); } )
				.attr("y", function (d) { return y(d[1] - margin.bottom); } )
				.attr("dy", "0.35em")
				.attr("sentence_i", i_snt );

		svg.selectAll()
			.data(sentence)
			.enter()
			.append('circle')
			.attr("class", function (d) { return "dot " + d[2] + " " + i_snt  } )
				// .attr("cx", function (d) { return x(d[0] + margin.left); } )
				.attr("cx", function (d) { return x(d[0]); } )
				.attr("cy", function (d) { return y(d[1] - margin.bottom); } )
				.attr("sentence_i", i_snt )
				.attr("r", 6)
				.style("fill", colors[0])			
				.style("fillOpacity",0.2)
				.style("stroke", "#000000")
				.style("strokeWidth", 1)
				.style("opacity", 1)
				.on('click', change_legend )
				.on('mouseover', highlight_mouseover )
				.on('mouseout', highlight_mouseout )
				// .on("mousemove", mousemove);

		
	}


	function change_legend(d,i) {
		console.log(d,i); 
		if (i[2] in dict_token_sentence_id){
			show_sentences(dict_token_sentence_id[i[2]], i[2]);

			show_similar_tokens(i[5], '#d3_legend_similar_'+type); 

			console.log(dict_token_sentence_id[i[2]]);
		}
		else{console.log("no sentence")}; 
	}

	function highlight_mouseover(d,i) {
		console.log("highlight_mouseover", d,i); 
		// token_id = parseInt(i[5])
		similar_ids = similar_vocab_queries[token_id]['similar_topk']; 
		d3.select(this).transition()
						 .duration('50')
						 .style('opacity', '1')
						 .attr("r", 12)

		similar_ids.forEach(similar_token => {
			d3.selectAll('.dot-' + similar_token).attr("r",12 ).style('opacity', '1')//.raise()
		});

		Tooltip
			.style("opacity", 1)
				.style("visibility", "visible")
				// .style("top", (event.pageY-height)+"px").style("left",(event.pageX-width)+"px")
			d3.select(this)
				.style("stroke", "red")
				.attr("strokeWidth", 2)
				.style("opacity", 0.7)

			// .html("The exact value of<br>this cell is: ")
			// .style("left", (d3.mouse(this)[0]+70) + "px")
			// .style("top", (d3.mouse(this)[1]) + "px")
	
	}
	function highlight_mouseout(d,i) {
		// token_id = parseInt(i[5])
		console.log("similar_vocab_queries", similar_vocab_queries); 
		similar_ids = similar_vocab_queries[token_id]['similar_topk']; 
		// clean_sentences(); 
		d3.select(this).transition()
			.duration('50')
			.style('opacity', '.7')
			.attr("r", 6)

		similar_ids.forEach(similar_token => {
				d3.selectAll('.dot-' + similar_token).attr("r",6 ).style('opacity', '.7')
			});

		Tooltip
			.style("opacity", 0)
		  d3.select(this)
			.style("stroke", "none")
			.style("opacity", 0.8)
	}

	function mousemove(d,i) {
		console.log("mousemove", d, i)
		pointer = d3.pointer(d);
		Tooltip
			.html("The exact value of<br> ")
			// .style("top", ((e.pageY ) - (height*2)) +"px")
			// .attr("transform", `translate(${pointer[0]},0)`)
			.style("top", height - pointer[1] +"px")
			.style("left", pointer[0]+"px")
	}

	
	function show_sentences(sentences_id, token) {

		// Show sentences with token "token" 
		d3.select('#d3_legend_data_'+div_type).html("");
		console.log("show_sentences", data_sentences, sentences_id);
		sentences_id.forEach(sent_id => {
			console.log(data_sentences[sent_id])
			// console.log(data_sentences[sent_id].map( x => x[2] )); 
			// p = d3.select('#d3_legend_data').append("p").enter(); 
			d3.select('#d3_legend_data_'+div_type)
				.selectAll().append("p")
				.data(data_sentences[sent_id])
				.enter()
				.append('text')
				.attr('class_data', sent_id)
				.attr('class_id', d => d[5])
				.style("background", d=> {if (d[2]== token) return "yellow"} )
				.text( d => d[2] + " "); 
			d3.select('#d3_legend_data_'+div_type).append("p").enter(); 
		});
		// $("#d3_legend_data")
		// data_sentences
	}

	function clean_sentences() {
		d3.select('#d3_legend_data_'+div_type).html("");
	}

	function show_similar_tokens(token, div_name_similar= '#d3_legend_similar_') {
		d3.select(div_name_similar).html("");
		console.log("token", token);
		console.log("similar_vocab_queries[token]", similar_vocab_queries[token]); 
		token_data = similar_vocab_queries[token]; 
		console.log(token, token_data); 
		var decForm = d3.format(".3f");

		d3.select(div_name_similar)
			.selectAll().append("p")
			.data(token_data['similar_topk'])
			.enter()
			.append("p").append('text')
			// .attr('class_data', sent_id)
			.attr('class_id', d => d)
			.style("background", d=> {if (d == token) return "yellow"} )
			// .text( d => d  + " \n "); 
			.text((d,i) => do_text(d,i) ); 
		
		function do_text(d,i){
			console.log("do_text d,i" ); 
			console.log(d,i); 
			console.log("data_dict[d], data_dict");
			// console.log(data_dict[d], data_dict);
			// return data_dict[d][3] + " " + decForm(token_data['distance'][i]) + "   "; 
			return " " + decForm(token_data['distance'][i]) + "   "; 
		}


	}
		// data_sentences

	//   .attr('x', (d) => x_scale(d[0]) + margin.left)
	//   .attr('y', (d) => y_scale(d[1]) + margin_top_extra)
	//   .attr("rx", 4)
	//   .attr("ry", 4)
	//   .attr("stroke", "#F7F7F7")
	//   .attr("stroke-width","2px")
	//   .attr('width', x_scale.bandwidth())
	//   .attr('height', (d) => height_text); 
	// //   .attr('fill', (d) => color_scale(d.value));

	// Add dots
	// svg.append('g')
	// // .selectAll("dot")
	// .data(data)
	// .enter()
	// .append("circle")
	// 	.attr("class", function (d) { return "dot " + d[2] } )
	// 	.attr("cx", function (d) { return x(d[0]); } )
	// 	.attr("cy", function (d) { return y(d[1]); } )
		// .attr("r", 5)
		// .style("fill", function (d) { return color(d.Species) } )
	// .on("mouseover", highlight)
	// .on("mouseleave", doNotHighlight )



	return svg.node();
}



function networkPlot(data, similar_vocab_queries,dict_proj, div_type="source", {
	width = 400, // outer width, in pixels
	height , // outer height, in pixels
	r = 3, // radius of nodes
	padding = 1, // horizontal padding for first and last column
	// text = d => d[2],
} = {}){
	// data_dict = data; 
	data = data// [div_type];
	similar_vocab_queries = similar_vocab_queries// [div_type];
	console.log("data, similar_vocab_queries, div_type"); 
	console.log(data, similar_vocab_queries, div_type); 

  // Create the SVG container.
  var margin = {top: 10, right: 10, bottom: 30, left: 50 },
    width = width //- margin.left - margin.right,
    height = 400 //- margin.top - margin.bottom;

	width_box = width + margin.left + margin.right; 
	height_box = height + margin.top + margin.bottom
	totalWidth = width*2; 
	// append the svg object to the body of the page
	// const parent = d3.create("div");
	// const body = parent.append("div")
	// .style("overflow-x", "scroll")
	// .style("-webkit-overflow-scrolling", "touch");


	var svg = d3.create("svg")
	// var svg = body.create("svg")
	// .style("display", "block")
	// .attr("style", "max-width: 100%; height: auto; height: intrinsic;")
    .attr("width", width + margin.left + margin.right)
    .attr("height", height + margin.top + margin.bottom)
	// .attr("viewBox", [-width_box / 2, -height_box / 2, width_box, height_box])
    //   .attr("viewBox", [0, 0, width, height]);
	// .attr("style", "max-width: 100%; height: auto;");

	// svg.append("g")
    // .attr("transform",
    //       "translate(" + margin.left + "," + margin.top + ")");

		  

	// Initialize the links
	var link = svg
		.selectAll("line")
		.data(data.links)
		.enter()
		.append("line")
		.style("fill", d => d.weight == 1 ? "#dfd5d5" :  "#000000") // , "#69b3a2" : "#69b3a2")
		.style("stroke", "#aaa")

	
	
	var text = svg
		.selectAll("text")
		.data(data.nodes)
		.enter()
		.append("text")
  		.style("text-anchor", "middle")
  		.attr("y", 15)
		.attr("class", d => 'text_token-'+ dict_proj[d.id][4] + div_type)
		.attr("div-type", div_type)
		// .attr("class", d => 'text_token-'+ d.index)
  		.text(function (d) {return d.label} )
		//   .on('mouseover', function(d) { (d.type_i == 0) ? highlight_mouseover_text : console.log(0)} )
		//   .on('mouseover', function(d) { (d.type_i == 0) ? highlight_mouseout_text : '' } )
		//   .on('mouseout', highlight_mouseout_text )
		// .join('text')
		// .text(function(d) {
			// return d.id
		// })

	// Initialize the nodes
	var node = svg
		.selectAll("circle")
		.data(data.nodes)
		.enter()
		.append("circle")
		.attr("r", 6)
		// .attr("class", d => 'node_token-'+ d.id)
		.attr("class", d => 'node_token-'+ dict_proj[d.id][4] + div_type)
		.attr("div-type", div_type)
		.style("fill", d => d.type_i ? "#e85252" :  "#6689c6") // , "#69b3a2" : "#69b3a2")
		.on('mouseover', highlight_mouseover )
		// .on('mouseover', function(d) { return (d.type_i == 0) ? highlight_mouseover : console.log(0)} )
		.on('mouseout',highlight_mouseout )
		.on('click', change_legend )
		// .on('click', show_similar_tokens )



	// Let's list the force we wanna apply on the network
	var simulation = d3.forceSimulation(data.nodes)                 // Force algorithm is applied to data.nodes
		.force("link", d3.forceLink()                               // This force provides links between nodes
		.id(function(d) { return d.id; })                     // This provide  the id of a node
		.links(data.links)                                    // and this the list of links
		)
		.force("charge", d3.forceManyBody(-400))         // This adds repulsion between nodes. Play with the -400 for the repulsion strength
		.force("center", d3.forceCenter(width / 2, height / 2))     // This force attracts nodes to the center of the svg area
		// .force("collision", d3.forceCollide())
		.on("end", ticked);

	// This function is run at each iteration of the force algorithm, updating the nodes position.
	function ticked() {
		link
			.attr("x1", function(d) { return d.source.x; })
			.attr("y1", function(d) { return d.source.y; })
			.attr("x2", function(d) { return d.target.x; })
			.attr("y2", function(d) { return d.target.y; });

		node
			.attr("cx", function (d) { return d.x+3; })
			.attr("cy", function(d) { return d.y-3; });
		
		text
			.attr("transform", function(d) { return "translate(" + d.x + "," + d.y + ")"; })
	}

	function highlight_mouseover(d,i) {
		console.log("highlight_mouseover", d,i, d3.select(this).attr("div-type")); 
		if (i.type_i == 0 ){
				token_id = i.id
				similar_ids = similar_vocab_queries[token_id]['similar_topk']; 
				d3.select(this).transition()
								.duration('50')
								.style('opacity', '1')
								.attr("r", 12)
				type = d3.select(this).attr("div-type")
				similar_ids.forEach(similar_token => {
					node_id_name = dict_proj[similar_token][4]
					d3.selectAll('.node_token-'+ node_id_name + type).attr("r",12 ).style('opacity', '1')//.raise()
					// d3.selectAll('.text_token-'+ node_id_name).raise()
				});
			}
	}
	

	function highlight_mouseout(d,i) {
		if (i.type_i == 0 ){
			token_id = i.id
			console.log("similar_vocab_queries", similar_vocab_queries, "this type:", d3.select(this).attr("div-type")); 
			similar_ids = similar_vocab_queries[token_id]['similar_topk']; 
			// clean_sentences(); 
			d3.select(this).transition()
				.duration('50')
				.style('opacity', '.7')
				.attr("r", 6)
			type = d3.select(this).attr("div-type")
			similar_ids.forEach(similar_token => {
					node_id_name = dict_proj[similar_token][4]
					d3.selectAll('.node_token-' + node_id_name + type).attr("r",6 ).style('opacity', '.7')
					d3.selectAll("circle").raise()
				});
		}
	}

	function change_legend(d,i,j) {
		console.log(d,i,dict_proj); 
		if (i['id'] in dict_proj){
			// show_sentences(dict_proj[i[2]], i[2]);

			show_similar_tokens(i['id'], '#similar_'+type); 

			console.log(dict_proj[i['id']]);
		}
		else{console.log("no sentence")}; 
	}

	function show_similar_tokens(token, div_name_similar='#similar_input_tokens') {
		d3.select(div_name_similar).html("");
		console.log("token", token);
		console.log("similar_vocab_queries[token]", similar_vocab_queries[token]); 
		token_data = similar_vocab_queries[token]; 
		console.log(token, token_data); 
		var decForm = d3.format(".3f");

		d3.select(div_name_similar)
			.selectAll().append("p")
			.data(token_data['similar_topk'])
			.enter()
			.append("p").append('text')
			// .attr('class_data', sent_id)
			.attr('class_id', d => d)
			.style("background", d=> {if (d == token) return "yellow"} )
			// .text( d => d  + " \n "); 
			.text((d,i) => do_text(d,i) ); 
		
		function do_text(d,i){
			console.log("do_text d,i" ); 
			console.log(d,i); 
			console.log("data_dict[d], data_dict");
			console.log(dict_proj[d], dict_proj);
			return dict_proj[d][3] + " " + decForm(token_data['distance'][i]) + "   "; 
		}


	}

	// svg.call(d3.zoom()
	// 	.extent([[0, 0], [width, height]])
	// 	.scaleExtent([1, 8])
	// 	.on("zoom", zoomed));

	// function zoomed({transform}) {
	// 	circle.attr("transform", d => `translate(${transform.apply(d)})`);
	// }

	// svg.call(
	// 	d3.zoom().on("zoom", (event) => {
	// 	  g.attr("transform", event.transform);
	// 	})
	//   );
	// body.node().scrollBy(totalWidth, 0);


	return svg.node();
	// return parent.node();

	}; 









}