Download code/test/JavaScript/0038511_script-all.js from Variable-role/sajaniemi_variable_dataset_large: direct link, hf CLI and curl.
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https://huggingface.co/datasets/Variable-role/sajaniemi_variable_dataset_large/resolve/main/code/test/JavaScript/0038511_script-all.js
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hf download hf://datasets/Variable-role/sajaniemi_variable_dataset_large/code/test/JavaScript/0038511_script-all.js
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curl -L -o 0038511_script-all.js https://huggingface.co/datasets/Variable-role/sajaniemi_variable_dataset_large/resolve/main/code/test/JavaScript/0038511_script-all.js
2.51 kB
| function load(target, data, words, figureclass, figurevalue, ftype) { | |
| var docs = []; | |
| var sp = []; | |
| for (var i = 0; i < data.length; i++) { | |
| //console.log(data.docs[i]); | |
| try { | |
| if (data.docs[i]["ftypes"][figureclass][figurevalue].length>0) { | |
| docs.push(data.docs[i]); | |
| } | |
| } catch (err) {} | |
| } | |
| docs.sort(function(a,b) { | |
| return parseInt(a.document.ReferenceDate) - parseInt(b.document.ReferenceDate); | |
| }); | |
| // console.log(docs); | |
| var series = words.map(function(cur, index, _) { | |
| return { | |
| lineWidth:1, | |
| marker:{radius:4}, | |
| name : cur, | |
| data : docs.map(function(cur2, _, _) { | |
| var figureIndices = cur2["ftypes"][figureclass][figurevalue]; | |
| var occ = 0; | |
| var total = 0; | |
| for (f of figureIndices) { | |
| total += cur2["figures"][f]["NumberOfWords"]; | |
| occ += cur2["figures"][f]["freq"][cur]["c"]; | |
| } | |
| // console.log(cur2.document); | |
| var yvalue = 0; | |
| try { | |
| yvalue = occ / total; | |
| } catch (err) { | |
| // console.err; | |
| } finally { | |
| }; | |
| var ret = { | |
| x:parseInt(cur2["meta"]["ReferenceDate"]), | |
| y:yvalue, | |
| name:cur2["authors"][0]["Name"] + ": "+cur2["meta"]["documentTitle"]+("transl" in cur2?" (transl.: "+cur2["translators"][0]["Name"]+")":"") | |
| }; | |
| return yvalue; // ret; | |
| }) | |
| }; | |
| }); | |
| console.log(series); | |
| $(target).highcharts( | |
| { | |
| chart: { | |
| type: "line" | |
| }, | |
| title : null, | |
| series: series, | |
| plotOptions: { | |
| line: { | |
| marker: { | |
| enabled: true | |
| } | |
| } | |
| }, | |
| tooltip:{ | |
| headerFormat:"<small>{point.key}</small><br/>" | |
| }, | |
| xAxis: { | |
| categories: docs.map(function(cur, _, _) { | |
| return cur["document"]["ReferenceDate"]+" "+cur["author"]["Name"] + ": "+cur["document"]["documentTitle"]+("transl" in cur?" (transl.: "+cur["transl"]["Name"]+")":""); | |
| }) | |
| } | |
| } | |
| ); | |
| } | |
| function draw () { | |
| var words = {}; | |
| var ft = $("#figuretype").val(); | |
| var vt = $("#valuetype").val(); | |
| if ($("#words_entered:checked").length>0) { | |
| for (w of $("#words").val().split("\n")) { | |
| words[w] = 1; | |
| } | |
| } | |
| if ($("#words_most_frequent:checked").length>0) { | |
| for (doc of data["docs"]) { | |
| if (ft in doc["figures"]) { | |
| var array = Object.keys(doc["figures"][ft]["wordHash"]); | |
| array.sort(function(a,b) { | |
| return doc["figures"][ft]["wordHash"][b][vt] - doc["figures"][ft]["wordHash"][a][vt]; | |
| }); | |
| for (var i = 0; i < 2; i++) { | |
| words[array[i]] = 1; | |
| } | |
| } | |
| } | |
| } | |
| load("#content", data, Object.keys(words), ft, vt); | |
| } |