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https://gitlab.ub.uni-bielefeld.de/sfb1288inf/nopaque.git
synced 2024-12-24 02:24:20 +00:00
Work on new list bilding
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c1adcb93ee
commit
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@ -233,20 +233,26 @@ class CQiWrapper(CQiClient):
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tmp_info[struct_attr_key].append(id)
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else:
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structs_to_check.append({key: struct_attr_key})
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logger.warning('Structs to check: {}'.format(structs_to_check))
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struct_attr_values = list(tmp_info.values())
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# logger.warning('Struct attr value list: {}'.format(struct_attr_values))
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struct_attr_keys = list(tmp_info.keys())
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# logger.warning('Struct attr key list: {}'.format(struct_attr_keys))
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# Build textlookup dictionary
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text_lookup_ids = list(set(struct_attr_values[0])) # First is always one text
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text_lookup = {}
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text_lookup_ids = list(set(struct_attr_values[0])) # every CPOS is associated with one text id. A set is build to only gather text_lookup informations for every unique text id
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text_lookup = {} # final dict containing all info of one text identified by its id
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for d in structs_to_check:
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s_key, s_value = zip(*d.items())
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s_value = s_value[0].split('_', 1)[1]
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logger.warning('dict entries: {}: {}'.format(s_key, s_value))
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s_value = s_value[0].split('_', 1)[-1]
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logger.warning('S_VALUE: {}'.format(s_value))
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struct_values = self.cl_struc2str(s_key[0], text_lookup_ids)
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logger.warning('Extracted Value with key {}: {}'.format(s_key[0],struct_values))
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zipped = dict(zip(text_lookup_ids, struct_values))
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for zip_key, zip_value in zipped.items():
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logger.warning('key: {}'.format(zip_key))
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logger.warning('value: {}'.format(zip_value))
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logger.warning('Text id as key is: {}'.format(zip_key))
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logger.warning('Value of this text is: {}'.format(zip_value))
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check = text_lookup.get(zip_key)
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logger.warning('check: {}'.format(check))
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if check is None:
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@ -1,3 +0,0 @@
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class JobList extends List {
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}
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@ -243,6 +243,74 @@ class JobList extends List {
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return rowElement;
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}
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}
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class ResultList extends List {
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createResultRowElement(item) {
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let values, cpos, matchRowElement, lcCellElement, lcTokenElement, token;
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// gather values from item
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values = item.values();
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// get infos for full match row
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matchRowElement = document.createElement("tr");
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for (cpos of values["lc"]) {
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console.log(cpos);
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lcCellElement = document.createElement("td");
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lcTokenElement = document.createElement("span");
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lcTokenElement.classList.add("token");
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lcTokenElement.dataset.cpos = cpos;
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token = chunk["cpos_lookup"][cpos];
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lcTokenElement = token["word"];
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console.log(lcTokenElement.outerHTML);
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// let hit_tokens = "";
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}
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// // get infos of match
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// let textTitles = new Set();
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// for (cpos of match["hit"]) {
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// tokenElement = document.createElement("span");
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// tokenElement.classList.add("token");
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// tokenElement.dataset.cpos = cpos;
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// token = chunk["cpos_lookup"][cpos];
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// tokenElement.innerText = token["word"];
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// hit_tokens += " " + tokenElement.outerHTML;
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// // get text titles of every hit cpos token
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// textTitles.add(chunk["text_lookup"][token["text"]]["title"]);
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// }
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// // add button to trigger more context to every match td
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// var inspectBtn = document.createElement("a");
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// inspectBtn.setAttribute("class", "btn-floating btn-flat waves-effect waves-light grey right inspect");
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// inspectBtn.onclick = function() {inspect()};
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// inspectBtn.innerHTML = '<i class="material-icons">search</i>';
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// hit_tokens += "<p>" + inspectBtn.outerHTML + "</p>";
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// // get infos for right context of match
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// let rc_tokens = "";
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// for (cpos of match["rc"]) {
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// tokenElement = document.createElement("span");
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// tokenElement.classList.add("token");
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// tokenElement.dataset.cpos = cpos;
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// token = chunk["cpos_lookup"][cpos];
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// tokenElement.innerText = token["word"];
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// rc_tokens += " " + tokenElement.outerHTML;
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// }
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// // put all infos into an javascribt object
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// textTitleElement = document.createElement("span");
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// textTitleElement.classList.add("text-titles");
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// textTitles = [...textTitles].join(",");
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// textTitleElement.innerText = textTitles;
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//
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// matchRowElement.appendChild(textTitleElement);
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// // matchRowElement.appendChild(lc_tokens);
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// // matchRowElement.appendChild(hit_tokens);
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// // matchRowElement.appendChild(rc_tokens);
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// // matchRowElement.appendChild(index);
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// }
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// return matchRowElement
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}
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}
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JobList.DEFAULT_OPTIONS = {item: "<br>",
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page: 4,
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pagination: {innerWindow: 8, outerWindow: 1},
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@ -310,15 +310,14 @@
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innerWindow: 8,
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outerWindow: 1
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}],
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valueNames: ["titles", "lc", "hit", "rc"],
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valueNames: ["titles", "lc", "hit", "rc", {data: ["index"]}],
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item: `<tr>
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<td class="titles"></td>
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<td class="lc"></td>
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<td class="hit"></td>
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<td class="rc"></td>
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</tr>`};
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resultList = new List('result-list', options);
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resultList = new ResultList('result-list', options);
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});
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@ -326,14 +325,14 @@
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nopaque.socket.on("corpus_analysis_query", function(response) {
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// ERROR code checking
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if (response["code"] === 0) {
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console.log("[ERROR] corpus_analysis_init");
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console.log("[SUCCESS] corpus_analysis_init");
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console.log("Code:" + response["code"]);
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// further code execution of this code block starting in line 342
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} else if (response["code"] === 1) {
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queryResultsTableElement.classList.add("hide");
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queryLoadingElement.classList.add("hide");
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nopaque.toast("Invalid query entered!", "red");
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console.log("[SUCCESS] corpus_analysis_init");
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console.log("[ERROR] corpus_analysis_init");
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console.log("Code:" + response["code"]);
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return; // no further code execution of this code block
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} else {
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@ -369,40 +368,29 @@
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// List building/appending the chunks when query had results
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// write metadata query information into HTML elements
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// like nr. of all matches in how many files etc.
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// TODO: count_corpus_files müssen aus full results genommen werden.
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// TODO: count_corpus_files müssen aus full results genommen werden. Ist am Ende richtig aber dazwischen zählt es hoch
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match_count = chunk["match_count"];
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let count_corpus_files = Object.keys(result["text_lookup"]).length;
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queryResultsMetadataElement.innerHTML = chunk["match_count"] + " matches in " + count_corpus_files + " corpus files.";
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queryResultsMetadataElement.appendChild(exportQueryResults);
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exportQueryResults.classList.remove("hide");
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var toAdd = [];
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var resultItems = []; // list for holding every row item
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// get infos for full match row
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for (let [index, match] of chunk["matches"].entries()) {
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lc_tokens = "";
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for (cpos of match["lc"]) {
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word = chunk["cpos_lookup"][cpos]["word"];
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lc_tokens += " " + word;
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}
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// console.log(lc_tokens);
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hit_tokens = "";
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for (cpos of match["hit"]) {
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word = chunk["cpos_lookup"][cpos]["word"];
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hit_tokens += " " + word;
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}
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// console.log(hit_tokens);
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rc_tokens = "";
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for (cpos of match["rc"]) {
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word = chunk["cpos_lookup"][cpos]["word"];
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rc_tokens += " " + word;
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}
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// console.log(rc_tokens);
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item = { titles: "test", lc: lc_tokens, hit: hit_tokens, rc: rc_tokens };
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toAdd.push(item);
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resultItems.push({...match, ...{"index": index}});
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}
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resultList.add(resultItems, items => {
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for (let item of items) {
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item.elm = resultList.createResultRowElement(item);}
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});
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resultList.update();
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});
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// inspect match functions
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function inspect() {
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console.log("Inspect!")
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}
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resultList.add(toAdd, function(toAdd) {console.log('All '
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+ toAdd.length
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+ ' results were added!')});
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});
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// Function to download data to a file
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function download(downloadElem, data, filename, type) {
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