25:["$","title",null,{"children":"Tool and resource usage on usegalaxy.org | Michelle Savage | Observable"}] 49:T40c,addTooltips(Plot.plot({ color: { legend: topNumber_numjobs !== 0, style: { fontSize: CONFIG.LEGEND_FONT_SIZE, } }, width: width, marginTop: CONFIG.CHART_MARGIN_TOP, height: CONFIG.CHART_HEIGHT + CONFIG.CHART_MARGIN_TOP, y: { grid:true, // label: `Jobs`, label: `Jobs (${CONFIG.CHART_UNIT_TRANSFORM_LABEL})`, transform: d => d / CONFIG.CHART_UNIT_TRANSFORM, }, x: { grid:true, label: "",//"month_year" domain: filterChartByXAxis(DATA.numjobs, 'date', startDate_numjobs, endDate_numjobs), tickRotate: -33, }, marks: [ Plot.areaY(filterChartByTopTools(DATA.numjobs, 'numjobs', topNumber_numjobs), { order: "sum", reverse: true, x: "date", y: "numjobs", fill: "tool_id", title: d => `${d.tool_id}\n\nDate: ${d.date}\n\nJobs: ${new Intl.NumberFormat().format(Math.round(d.numjobs))}`, }/*)*/), Plot.ruleY([0]), ], style: { fontSize: CONFIG.TICKS_FONT_SIZE, } }), {"stroke-width": "1px", stroke: "white" } );4a:T418,addTooltips(Plot.plot({ color: { legend: topNumber_numusers !== 0, style: { fontSize: CONFIG.LEGEND_FONT_SIZE, } }, width: width, marginTop: CONFIG.CHART_MARGIN_TOP, height: CONFIG.CHART_HEIGHT + CONFIG.CHART_MARGIN_TOP, x: { grid: true, label: "",//"month_year" domain: filterChartByXAxis(DATA.numusers, 'date', startDate_numusers, endDate_numusers), tickRotate: -33, }, y: { grid: true, label: `Users (${CONFIG.CHART_UNIT_TRANSFORM_LABEL})`, transform: (d) => d / CONFIG.CHART_UNIT_TRANSFORM }, marks: [ Plot.areaY(filterChartByTopTools(DATA.numusers, 'numusers', topNumber_numusers), { order: "sum", reverse: true, x: "date", y: "numusers", fill: "tool_id", // title: "tool_id", title: d => `${d.tool_id}\n\nDate: ${d.date}\n\nUsers: ${new Intl.NumberFormat().format(Math.round(d.numusers))}`, }), Plot.ruleY([0]) ], style: { fontSize: CONFIG.TICKS_FONT_SIZE, } }), {"stroke-width": "1px", stroke: "white" } );4b:T471,addTooltips(Plot.plot({ color: { legend: topNumber_total_cpu_time !== 0, style: { fontSize: CONFIG.LEGEND_FONT_SIZE, } }, width: width, marginTop: CONFIG.CHART_MARGIN_TOP, marginLeft: 75, height: CONFIG.CHART_HEIGHT + CONFIG.CHART_MARGIN_TOP, x: { grid: true, label: "",//"month_year" domain: filterChartByXAxis(DATA.total_cpu_time, 'date', startDate_total_cpu_time, endDate_total_cpu_time), tickRotate: -33, }, y: { grid: true, label: `Total CPU Time, Hours (${CONFIG.CHART_UNIT_TRANSFORM_LABEL})`, transform: (d) => d / (CONFIG.CHART_UNIT_TRANSFORM*60*60), }, marks: [ Plot.areaY(filterChartByTopTools(DATA.total_cpu_time, 'total_cpu_time', topNumber_total_cpu_time), { order: "sum", reverse: true, x: "date", y: "total_cpu_time", fill: "tool_id", title: d => `${d.tool_id}\n\nDate: ${d.date}\n\nTotal CPU Time, Hours: ${new Intl.NumberFormat().format(Math.round(d.total_cpu_time/(60*60)))}`, }), Plot.ruleY([0]) ], style: { fontSize: CONFIG.TICKS_FONT_SIZE, } }), {"stroke-width": "1px", stroke: "white" } );4c:T425,addTooltips(Plot.plot({ color: { legend: topNumber_avg_cpu_time !== 0, style: { fontSize: CONFIG.LEGEND_FONT_SIZE, } }, width: width, marginTop: CONFIG.CHART_MARGIN_TOP, marginLeft: 50, height: CONFIG.CHART_HEIGHT + CONFIG.CHART_MARGIN_TOP, x: { grid: true, label: "",//"month_year" domain: filterChartByXAxis(DATA.avg_cpu_time, 'date', startDate_avg_cpu_time, endDate_avg_cpu_time), }, y: { grid: true, label: `Average CPU Time, Hours`, transform: (d) => d / (60*60), }, marks: [ Plot.areaY(filterChartByTopTools(DATA.avg_cpu_time, 'avg_cpu_time', topNumber_avg_cpu_time), { order: "sum", reverse: true, x: "date", y: "avg_cpu_time", fill: "tool_id", // title: "tool_id" title: d => `${d.tool_id}\n\nDate: ${d.date}\n\nAverage CPU Time, Hours: ${new Intl.NumberFormat().format(Math.round(d.avg_cpu_time/(60*60)))}`, }), Plot.ruleY([0]) ], style: { fontSize: CONFIG.TICKS_FONT_SIZE, } }), {"stroke-width": "1px", stroke: "white" } );4d:T427,addTooltips(Plot.plot({ color: { legend: topNumber_totalmemory !== 0, style: { fontSize: CONFIG.LEGEND_FONT_SIZE, } }, width: width, marginTop: CONFIG.CHART_MARGIN_TOP, height: CONFIG.CHART_HEIGHT + CONFIG.CHART_MARGIN_TOP, x: { grid: true, label: "",//"month_year" domain: filterChartByXAxis(DATA.totalmemory, 'date', startDate_totalmemory, endDate_totalmemory), tickRotate: -33, }, y: { grid: true, label: `Total memory, GBs (${CONFIG.CHART_UNIT_TRANSFORM_LABEL})`, transform: (d) => d / CONFIG.CHART_UNIT_TRANSFORM, }, marks: [ Plot.areaY(filterChartByTopTools(DATA.totalmemory, 'totalmemory', topNumber_totalmemory), { order: "sum", reverse: true, x: "date", y: "totalmemory", fill: "tool_id", title: d => `${d.tool_id}\n\nDate: ${d.date}\n\nTotal Memory: ${new Intl.NumberFormat().format(Math.round(d.totalmemory))}`, }), Plot.ruleY([0]) ], style: { fontSize: CONFIG.TICKS_FONT_SIZE, } }), {"stroke-width": "1px", stroke: "white" } );4e:T425,addTooltips(Plot.plot({ color: { legend: topNumber_avg_memory !== 0, style: { fontSize: CONFIG.LEGEND_FONT_SIZE, } }, width: width, marginTop: CONFIG.CHART_MARGIN_TOP, height: CONFIG.CHART_HEIGHT + CONFIG.CHART_MARGIN_TOP, x: { grid: true, label: "",//"month_year" domain: filterChartByXAxis(DATA.avg_memory, 'date', startDate_avg_memory, endDate_avg_memory), }, y: { grid: true, label: `Average Memory, GB (${CONFIG.CHART_UNIT_TRANSFORM_LABEL})`, transform: (d) => d / CONFIG.CHART_UNIT_TRANSFORM }, marks: [ Plot.areaY(filterChartByTopTools(DATA.avg_memory, 'avg_memory', topNumber_avg_memory), { order: "sum", reverse: true, x: "date", y: "avg_memory", fill: "tool_id", title: d => `${d.tool_id}\n\nDate: ${d.date}\n\nAverage Memory: ${new Intl.NumberFormat("en-US", {maximumFractionDigits: 2}).format(d.avg_memory, 2)}`, }), Plot.ruleY([0]) ], style: { fontSize: CONFIG.TICKS_FONT_SIZE, } }), {"stroke-width": "1px", stroke: "white" } );4f:T4c4,function filterChartByTopTools(data, dataQualifier, top, rankCalculate) { // if (top != 0) { if (top > 0) { var topTools = getTopTools(data, dataQualifier, top, rankCalculate); var chartDataFiltered = (data) .filter((tool) => topTools.includes(tool.tool_id)); /* regular JS: filter() */ } else if (top < 0) { var allTools = getTopTools(data, dataQualifier, CONFIG.CONTROL_TOP_TOOLS_DATA_SUBSET, rankCalculate); allTools = allTools.reverse(); var bottomTools = []; allTools.forEach((t, index) => { if (index < (top * -1)) { bottomTools.push(t); } }); var chartDataFiltered = (data) .filter((tool) => bottomTools.includes(tool.tool_id)); /* regular JS: filter() */ } else { chartDataFiltered = data; } if (dataQualifier == 'numjobs') { // console.log('---------------------------------------'); // console.log('dataQualifier', dataQualifier); // console.log('data', data); // console.log('top', top); // console.log('allTools', allTools); // console.log('bottomTools', bottomTools); // console.log('topTools', topTools); // console.log('chartDataFiltered', chartDataFiltered); } return chartDataFiltered; }50:T468,function normalizeByToolId(data, sum, sort, sortDirection) { // console.log('ENTERED INTO normalizeByToolId()'); // console.log(' >> data', data); // console.log(' >> sum', sum); // console.log(' >> sort', sort); let previousRecord; let sumTotal = 0; let newRecords = []; // data = sortByToolDate(data, sort); data = _.orderBy(data, sort, sortDirection); data.forEach((record, index) => { //TODO replace with a Reduce() if (previousRecord) { if (getToolId(previousRecord.tool_id) == getToolId(record.tool_id) && previousRecord.date == record.date) { sumTotal += record[sum]; //record.numjobs; } else { newRecords.push({tool_id: getToolId(previousRecord.tool_id), date: previousRecord.date, [sum]: sumTotal}); sumTotal = record[sum]; //numjobs; } } else { sumTotal = record[sum]; //numjobs; } previousRecord = record; }); // console.log('newRecords', newRecords); return newRecords; } // newRecords.push({tool_id: getToolId(previousRecord.tool_id), date: previousRecord.date, [sum]: sumTotal}); //TODO missing remainder push() 51:Tc59,function sumByToolId(data, sumByDate) { // 1- get object labels that are Number values and not Tool ID values var dataKeys = Object.keys(data[0]); // console.log('dataKeys', dataKeys); var sumKeys = dataKeys.filter(k => { // if (k !== 'tool_id' && _.isNumber(data[0].[k])) { // Observable didn't like [k] if (k !== 'tool_id' && _.isNumber(data[0][k])) { return k; } }); // console.log('sumKeys', sumKeys); if (sumKeys.length < 1) { return 'At least 1 numeric field is required to be summed.'; } // 2- group and sum the Numeric values -up to 10 max Numeric values var max = 10; if (sumKeys.length > 10) { return 'No more than 10 numeric fields can be summed'; } var summedTools = []; var sumKey_00 = sumKeys[0], sumKey_01 = sumKeys[1], sumKey_02 = sumKeys[2], sumKey_03 = sumKeys[3], sumKey_04 = sumKeys[4], sumKey_05 = sumKeys[5], sumKey_06 = sumKeys[6], sumKey_07 = sumKeys[7], sumKey_08 = sumKeys[8], sumKey_09 = sumKeys[9]; var qa = []; if (sumByDate) { var summedToolsExt = []; // - concatenate to create unique value for the group-by function - data.forEach(tool => { summedToolsExt.push({ tool_id_date: tool.tool_id + '_' + tool.date, ...tool }); }); // console.log(' summedToolsExt0', summedToolsExt); var summedToolsExt = _ .chain(summedToolsExt) .groupBy('tool_id_date') .map((tool, tool_id_date) => ({ tool_id_date: tool_id_date, tool_id: tool_id_date.substring(0, tool_id_date.length - 8), date: tool_id_date.substring(tool_id_date.length - 7), [sumKey_00]: _.sumBy(tool, sumKey_00), [sumKey_01]: _.sumBy(tool, sumKey_01), [sumKey_02]: _.sumBy(tool, sumKey_02), [sumKey_03]: _.sumBy(tool, sumKey_03), [sumKey_04]: _.sumBy(tool, sumKey_04), [sumKey_05]: _.sumBy(tool, sumKey_05), [sumKey_06]: _.sumBy(tool, sumKey_06), [sumKey_07]: _.sumBy(tool, sumKey_07), [sumKey_08]: _.sumBy(tool, sumKey_08), [sumKey_09]: _.sumBy(tool, sumKey_09), })) .value(); // console.log('summedToolsExt1', summedToolsExt); // - remove unique value to group by - summedToolsExt.forEach(tool => { summedTools.push(_.omit(tool, "tool_id_date")); }); // console.log('summedToolsExt2', summedTools); } else { summedTools = _ .chain(data) .groupBy('tool_id') .map((tool, tool_id) => ({ tool_id: tool_id, [sumKey_00]: _.sumBy(tool, sumKey_00), [sumKey_01]: _.sumBy(tool, sumKey_01), [sumKey_02]: _.sumBy(tool, sumKey_02), [sumKey_03]: _.sumBy(tool, sumKey_03), [sumKey_04]: _.sumBy(tool, sumKey_04), [sumKey_05]: _.sumBy(tool, sumKey_05), [sumKey_06]: _.sumBy(tool, sumKey_06), [sumKey_07]: _.sumBy(tool, sumKey_07), [sumKey_08]: _.sumBy(tool, sumKey_08), [sumKey_09]: _.sumBy(tool, sumKey_09), })) .value(); } // 3- remove the blank sumKey values (marked as "undefined") from the objects var tools = []; summedTools.forEach(tool => { tools.push(_.omit(tool, "undefined")); }); return tools; }52:T404,function getNumJobsNumUsersConsumedMemory() { // var consolidatedNumJobs = consolidateByToolId(normalizeByToolId(totalmemory_numjobs, 'numjobs', ['numjobs'], ['desc']), 'numjobs'); var consolidatedTotalMemoryNumJobs = DATA.totalmemory_numjobs; var consolidatedNumUsers = DATA.numjobs_numusers;//consolidateByToolId(normalizeByToolId(numjobs_numusers, 'numusers', ['numusers'], ['desc']), 'numusers'); // var consolidatedTotalMemory = consolidateByToolId(normalizeByToolId(totalmemory_numjobs, 'consumed_mem_gb', ['consumed_mem_gb'], ['desc']), 'consumed_mem_gb'); // console.log('consolidatedTotalMemory', consolidatedTotalMemory); var numJobsNumUsersConsumedMemory = _.values(_.merge(_.keyBy(consolidatedTotalMemoryNumJobs, 'tool_id'), _.keyBy(consolidatedNumUsers, 'tool_id'))); // numJobsNumUsersConsumedMemory = _.orderBy(numJobsNumUsersConsumedMemory, ['numusers'], ['desc']) // console.log('numJobsNumUsersConsumedMemory', numJobsNumUsersConsumedMemory); return numJobsNumUsersConsumedMemory; }53:T73b,function getMatchingNodeByText(nodeText, parentNode) { var selectedNodes = 0; // console.log('parentNode', parentNode); var possibleNodes = parentNode.getElementsByTagName('path'); for (var possibleNode of possibleNodes) { // console.log('ENTERED INTO for-loop FOR getMatchingNodeByText()'); // var s = possibleNode.getElementsByTagName('title')[0]; /* Works only for standard Title = "tool_id" */ // var s = possibleNode.getAttribute('title'); // console.log('s', s); // if (s && s !== undefined) { // console.log('s', s); // var status = s.innerHTML; // console.log('possibleNode', possibleNode); var status = possibleNode.getAttribute('__title'); var includesValue = (val, obj) => _.includes(obj, val); // if (status && status !== undefined) { // console.log('status', status); // console.log('status.indexOf(nodeText)', status.indexOf(nodeText)); const regex = /${nodeText}.*/g; const found = status.match(regex); // if (status) { // if (status == nodeText) { if (status.indexOf(nodeText) == 0) { //TODO replace with regex matching to end of first line // if (found) { // console.log('MATCH FOUND ' + nodeText + ' FOR status', status); if (includesValue('selectedChartArea', possibleNode.classList)) { // console.log('|||||||| removing'); possibleNode.classList.remove("selectedChartArea"); } else { // console.log('+++++++ adding'); possibleNode.classList.remove("unselectedChartArea"); possibleNode.classList.add("selectedChartArea"); } // } } // } } selectedNodes = countSelectedNodes(parentNode); hideUnselectedNodes(parentNode); selectedNodes = countSelectedNodes(parentNode); if (selectedNodes == 0) { resetNodes(parentNode); } }54:[] 29:{"id":"c55a2e13469de786","slug":null,"title":"Tool and resource usage on usegalaxy.org","thumbnail":"5d37acaaaeb0eb44cf350949e322e1e882d8ee9212d34d0f8c37238f8e58bf33","access_level":"public","create_time":"$D2023-06-26T12:54:11.867Z","update_time":"$D2023-07-03T17:24:46.362Z","view_time":null,"first_public_time":"$D2023-06-26T12:54:11.867Z","has_unpublished_edits":null,"fork":{"id":"b92e5e797404435e","slug":"usegalaxy-usage","title":"","owner":{"id":"1675aca9e9569237","login":"cloudcosts","name":"JHU AnVIL group"}},"stars":0,"starred":false,"owner":{"type":"team","id":"1d49594e189d6270","login":"hujambo-dunia","name":"Michelle Savage","avatar_url":"https://avatars-next.observableusercontent.com/71fa5d2f4f41b7e57548a86fc099fd07283d9a2a157675a1b4d9e1afe98c5361","tier":"starter_2024","bio":"","followed_by_you":false,"follows_you":false},"version":3094,"publish_version":null,"role":null,"authored":false,"authors":[{"type":"individual","id":"15db2d7825debca3","login":"hujambo-dunia","name":"Michelle Savage","avatar_url":"https://avatars-next.observableusercontent.com/71fa5d2f4f41b7e57548a86fc099fd07283d9a2a157675a1b4d9e1afe98c5361","tier":null,"bio":"","followed_by_you":false,"follows_you":false}],"members":[{"type":"individual","id":"15db2d7825debca3","login":"hujambo-dunia","name":"Michelle Savage","avatar_url":"https://avatars-next.observableusercontent.com/71fa5d2f4f41b7e57548a86fc099fd07283d9a2a157675a1b4d9e1afe98c5361","tier":null,"role":"editor"}],"comments":[],"custom_thumbnail":false,"trashed":false,"lapsed":null,"subscribed":null,"forks":0,"collection":null,"type":"notebook","body":{"titling":"auto","title":"Tool and resource usage on usegalaxy.org","cells":[{"id":0,"value":"# Tool and resource usage on usegalaxy.org\nThe following figures and tables represent historic usage data from [usegalaxy.org](https://usegalaxy.org) server from August 2021 until May 2023. The data focuses on identifying *tool popularity*, as a function of the combination of jobs executed per tool, amount of resources those jobs consumed, and number of users working with the tools. \n \n \n##### TOOL EXCLUSIONS\nThe following tools were excluded: \n(1) \"Single use\" tools were excluded because they lacked date-dependent chart plotting capabilities as they only had a single data point in the total 13 month period.\n(2) \"Data transfer\" tools were excluded because they perform no data transformations, listed here as: \n \n_Excluded \"Data Transfer\" tools:_\n${\"

`\" + CONFIG.TOOLS_DATA_HIDE.join(\"`
\") + \"

\"}","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"","database":"$undefined"},{"id":2825,"value":"

","pinned":false,"hidden":false,"mode":"html","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"","database":"$undefined"},{"id":104,"value":"# Chart configurations","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"","database":"$undefined"},{"id":862,"value":"CONFIG = ({\n CHART_HEIGHT: 400,\n CHART_MARGIN_TOP: 40,\n CHART_MARGIN_BOTTOM: 50,\n CHART_UNIT_TRANSFORM: 1000,\n CHART_UNIT_TRANSFORM_LABEL: \"thousands\",\n CHART_ZOOM_INCREMENT_PERCENT: .04,\n CHART_ZOOM_INCREMENT_PERCENT_MAX: .05,\n CHART_ZOOM_INCREMENT_PERCENT_MIN: .99,\n CHART_ZOOM_MAX_CLICKS: 22,\n TICKS_FONT_SIZE: \"14px\",//\"16px\",\n LEGEND_FONT_SIZE: \"18px\",//\"14px\",\n TOOLS_DATA_HIDE: ['__DATA_FETCH__', 'upload1'],\n CONTROL_TOP_TOOLS_DATA_SUBSET: 100,\n})\n\n/* v2 */\n/*\n CHART_UNIT:\n {\n RUNTIME: \n {\n LABEL: 'Runtime, Hours',\n TRANSFORM: 60*60,\n },\n MEMORY: \n {\n LABEL: 'Memory, GBs (thousands)',\n TRANSFORM: 1000,\n },\n CPU: \n {\n LABEL: 'CPU (thousands)',\n TRANSFORM: 1000,\n },\n COST: \n {\n LABEL: 'Cost, USD (thousands)',\n TRANSFORM: 1000,\n },\n },\n*/","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":647,"value":"","pinned":false,"hidden":false,"mode":"html","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"","database":"$undefined"},{"id":1396,"value":"","pinned":false,"hidden":false,"mode":"html","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"","database":"$undefined"},{"id":1697,"value":"# Imported Libraries","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"","database":"$undefined"},{"id":1686,"value":"import {addTooltips} from \"@mkfreeman/plot-tooltip\"","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":2532,"value":"import {slider, color, input} from '@jashkenas/inputs'","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":2356,"value":"# Transform Functions","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"","database":"$undefined"},{"id":1182,"value":"function getXAxisValues(data, xAxisQualifer) {\n return _.map(_.uniqBy(data, xAxisQualifer), xAxisQualifer);\n}","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":353,"value":"function getToolsRankedByValueSum(data, rankedBy, rankType) {\n var rankedTools = _(data)\n .groupBy('tool_id')\n .map((tool, tool_id) => ({\n tool_id: tool_id,\n [rankedBy]: _.sumBy(tool, rankedBy)\n }))\n .value();\n let sortType = (rankType == 'bottom') ? 'asc' : 'desc';\n rankedTools = _.orderBy(rankedTools, [rankedBy], [sortType]);\n \n return rankedTools;\n}","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":370,"value":"function getToolsRankedByValueAve(data, rankedBy, rankType) {\n var rankedTools = _(data)\n .groupBy('tool_id')\n .map((tool, tool_id) => ({\n tool_id: tool_id,\n [rankedBy]: _.meanBy(tool, rankedBy)\n }))\n .value();\n let sortType = (rankType == 'bottom') ? 'asc' : 'desc';\n rankedTools = _.orderBy(rankedTools, [rankedBy], [sortType]);\n \n return rankedTools;\n}","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":380,"value":"function getTopTools(data, rankedBy, topNumber, rankCalculate) {\n let rankType = (topNumber > 0) ? 'top' : 'bottom';\n topNumber = (topNumber < 0) ? topNumber*(-1) : topNumber;\n var rankedTools = (rankCalculate == \"AVERAGE\") ? getToolsRankedByValueAve(data, rankedBy, rankType): getToolsRankedByValueSum(data, rankedBy, rankType);\n var topNumberValue = Object.values(rankedTools)[topNumber-1][rankedBy]; /* accounts for ties in the rankings */\n var topTools = []; \n if (topNumberValue > 0) {\n topTools = _.filter(rankedTools, function(t) {\n return t[rankedBy] >= topNumberValue ; }); /* lodash: filter() */\n }\n topTools = _.map(topTools, function(t) { return t.tool_id ; });\n return topTools.slice(0, topNumber);\n \n /* Old control:\n // viewof topNumber_numjobs_v1 = Inputs.range([0, 20], {\n // step: 1, \n // label: \"topNumber\",\n // })\n */\n}","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":405,"value":"$4f","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":992,"value":"function filterChartByXAxis(data, dateQualifier, startDate, endDate) {\n var chartXAxisValues = _.map(_.uniqBy(data, dateQualifier), dateQualifier);\n var chartXAxisFiltered = _.slice(chartXAxisValues, _.indexOf(chartXAxisValues, startDate), _.indexOf(chartXAxisValues, endDate) + 1);\n\n return chartXAxisFiltered;\n}","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":555,"value":"$50","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":1664,"value":"function consolidateByToolId(data, groupBy) {\n var groupedTools = _(data)\n .groupBy('tool_id')\n .map((tool, tool_id) => ({\n tool_id: tool_id,\n [groupBy]: _.sumBy(tool, groupBy)\n }))\n .value();\n \n return groupedTools;\n}","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":592,"value":"function getToolId(toolIdToolVersion) {\n return toolIdToolVersion.indexOf('/') > -1 ? toolIdToolVersion.split('/')[0] : toolIdToolVersion;\n}","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":2032,"value":"function filterHideToolIds(data, toolIds) {\n data = data.filter((tool) => !toolIds.includes(tool.tool_id));\n return data;\n}","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":2192,"value":"$51","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":2189,"value":"function normalizeToolId(data) {\n var normalized = _\n .chain(data)\n .map((tool, tool_id) => ({\n ...tool,\n tool_id: getToolId(tool.tool_id),\n }))\n .value();\n return normalized;\n}","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":1165,"value":"### Transform Functions - Bubble/Scatter Chart Zoom Feature","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"","database":"$undefined"},{"id":1751,"value":"function getTotalToolsFromDataset(dataset, sumBy) {\n /* Note: \"Total (Available) Tools\" has dependency on the dataset and can vary by dataset */\n var consolidatedData = consolidateByToolId(normalizeByToolId(dataset, [sumBy], ['desc']), sumBy);\n // console.log('consolidatedData.length', consolidatedData.length);\n var totalTools = consolidatedData.length;\n \n return totalTools;\n}","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":1811,"value":"function zoomChartToOrigin(data, dateQualifier, zoomIncrement, zoomPercent) { /* where \"Origin\" = (0, 0) */\n var zoomLevel = zoomIncrement * zoomPercent;\n var consolidatedData = data;//consolidateByToolId(normalizeByToolId(data, dateQualifier, [dateQualifier], ['desc']), dateQualifier);\n var max = _.maxBy(consolidatedData, dateQualifier);\n var maxAxisValue = Math.round(max[dateQualifier] * (1 + zoomLevel)) / CONFIG.CHART_UNIT_TRANSFORM;\n \n return [0, maxAxisValue];\n}","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":1609,"value":"function averagePerTool(dataset, sumBy) {\n var sumFromDataset = getSumFromDataset(dataset, sumBy);\n var totalTools = getTotalToolsFromDataset(dataset, sumBy);\n \n return sumFromDataset/totalTools;\n}","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":1769,"value":"function getSumFromDataset(dataset, sumBy) {\n var consolidatedData = dataset;\n // var consolidatedData = consolidateByToolId(normalizeByToolId(dataset, [sumBy], ['desc']), sumBy);\n var totalNumber = _.reduce(consolidatedData, (sumAccumulator, normalizedData) => {\n return sumAccumulator + normalizedData[sumBy];\n }, 0);\n \n return totalNumber;\n}","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":1632,"value":"function DEPRECATE_averageConsumedMemoryPerTool(numJobsNumUsers, totalMemoryNumJobs) {\n var normalizedByTool = normalizeByToolId(totalMemoryNumJobs, ['consumed_mem_gb'], ['desc']);\n var totalAvailableTools = normalizedByTool.length;\n var totalConsumedMemory = _.reduce(totalMemoryNumJobs, (sumAccumulator, normalizedData) => {\n return sumAccumulator + normalizedData['consumed_mem_gb'];\n }, 0);\n/*\n consumed_mem_gb: 1320676\n allocated_mem_gb: 1916269\n pct_mem_consumed: 68.9\n numjobs\n */\n console.log('normalizedByTool', _.orderBy(normalizedByTool, ['tool_id']));\n console.log('totalConsumedMemory', totalConsumedMemory);\n console.log('totalAvailableTools', totalAvailableTools);\n return totalConsumedMemory/totalAvailableTools;\n}","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":1722,"value":"$52","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":2374,"value":"### Transform Functions - Area Chart Legend Selection Feature","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"","database":"$undefined"},{"id":1399,"value":"/* JavaScript event listener */\n(document.getElementsByClassName('observablehq-root')[0]).addEventListener('click', event => {\n toggleChartArea(event);\n});","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":1438,"value":"function toggleChartArea(event) {\n var includesValue = (val, obj) => _.some(obj, v => _.includes(v, val));\n // console.log('ENTERED INTO toggleChartArea()');\n if (includesValue('-swatch', event.target.classList)) {\n // console.log('swatches found');\n var tool_id = event.target.innerText;\n // console.log('tool_id', tool_id);\n if (includesValue('selectedLegend', event.target.classList)) {\n event.target.classList.remove(\"selectedLegend\");\n // console.log('target - removing');\n } else {\n event.target.classList.add(\"selectedLegend\");\n // console.log('target - adding');\n }\n getMatchingNodeByText(tool_id, event.target.closest(\"figure\"));\n }\n}","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":1402,"value":"$53","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":1505,"value":"function hideUnselectedNodes(parentNode) { \n var possibleNodes = parentNode.getElementsByTagName('path');\n for (var possibleNode of possibleNodes) {\n // var s = possibleNode.getElementsByTagName('title')[0];\n // if (s !== undefined) {\n var status = possibleNode.getAttribute('__title');\n // var status = s.innerHTML;\n var includesValue = (val, obj) => _.includes(obj, val);\n if (!includesValue('selectedChartArea', possibleNode.classList)) {\n possibleNode.classList.add(\"unselectedChartArea\");\n }\n // }\n }\n}","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":1527,"value":"function resetNodes(parentNode) { \n var possibleNodes = parentNode.getElementsByTagName('path');\n for (var possibleNode of possibleNodes) {\n // var s = possibleNode.getElementsByTagName('title')[0];\n // if (s !== undefined) {\n // var status = s.innerHTML;\n var status = possibleNode.getAttribute('__title');\n var includesValue = (val, obj) => _.includes(obj, val);\n possibleNode.classList.remove(\"unselectedChartArea\");\n possibleNode.classList.remove(\"selectedChartArea\");\n // }\n }\n}","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":1496,"value":"function countSelectedNodes(parentNode) {\n var totalSelectedNodes = 0;\n var possibleNodes = parentNode.getElementsByTagName('path');\n for (var possibleNode of possibleNodes) {\n // var s = possibleNode.getElementsByTagName('title')[0];\n // if (s !== undefined) {\n // var status = s.innerHTML;\n var status = possibleNode.getAttribute('__title');\n var includesValue = (val, obj) => _.includes(obj, val);\n if (includesValue('selectedChartArea', possibleNode.classList)) {\n totalSelectedNodes++;\n }\n // }\n }\n return totalSelectedNodes;\n}","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":2969,"value":"### Transform Functions - Bar Chart Data from Google Sheets Feature","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"","database":"$undefined"},{"id":2967,"value":"// Source: Converts a Google Sheets website URL to its CSV URL. You can also go to “File → Publish to web”, select the “Comma-separated values (.csv)” type, select the sheet with your data, and use that CSV URL directly with `d3.csv` above. If you need data to update faster, try the Google Sheets API: https://stackoverflow.com/questions/30082277/accessing-a-new-style-public-google-sheet-as-json/44479726#44479726\n\ngetCsvUrl = url => {\n // url = new URL(url); /* v1 */\n // const id = url.pathname.split(\"/\")[3] /* v1 */\n // const gid = new URLSearchParams(url.hash.slice(1)).get(\"gid\") || 0; /* v1 */\n // const gid = new URLSearchParams(url.search).get(\"gid\") || 0; /* v1 */\n // return `https://docs.google.com/spreadsheets/d/${id}/export?format=csv&gid=${gid}` /* v1 */\n return url; /* v2 */\n}","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":934,"value":"# Data objects","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"","database":"$undefined"},{"id":2185,"value":"DATA = ({\n numjobs: filterHideToolIds(sumByToolId(normalizeToolId(numjobs), true), CONFIG.TOOLS_DATA_HIDE),\n numusers: filterHideToolIds(sumByToolId(normalizeToolId(numusers), true), CONFIG.TOOLS_DATA_HIDE),\n total_cpu_time: filterHideToolIds(sumByToolId(normalizeToolId(total_cpu_time), true), CONFIG.TOOLS_DATA_HIDE),\n avg_cpu_time: filterHideToolIds(sumByToolId(normalizeToolId(avg_cpu_time), true), CONFIG.TOOLS_DATA_HIDE),\n totalmemory: filterHideToolIds(sumByToolId(normalizeToolId(totalmemory), true), CONFIG.TOOLS_DATA_HIDE),\n avg_memory: filterHideToolIds(sumByToolId(normalizeToolId(avg_memory), true), CONFIG.TOOLS_DATA_HIDE),\n numjobs_numusers: filterHideToolIds(sumByToolId(normalizeToolId(numjobs_numusers), false), CONFIG.TOOLS_DATA_HIDE),\n totalmemory_numjobs: filterHideToolIds(sumByToolId(normalizeToolId(totalmemory_numjobs), false), CONFIG.TOOLS_DATA_HIDE),\n})","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":2196,"value":"DATA.totalmemory_numjobs","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":2183,"value":"# Value sources","pinned":true,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"","database":"$undefined"},{"id":6,"value":"src_repo_url = \"https://raw.githubusercontent.com/hujambo-dunia/usage-metering/tool-use-Aug2021-May2023-v03/data/202305/\";","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":13,"value":"numjobs = d3.csv(`${src_repo_url}numjobs_all.csv`, (d, _, columns) => {\n return {\n tool_id: d.tool_name_version.trim(),\n date: d.month_year.trim(),\n numjobs: parseFloat(d.num_jobs)\n };\n})","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":27,"value":"numusers = d3.csv(`${src_repo_url}numusers_all.csv`, (d, _, columns) => {\n return {\n tool_id: d.tool_name_version.trim(),\n date: d.month_year.trim(),\n numusers: parseFloat(d.num_users),\n }\n});","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":34,"value":"totalmemory = d3.csv(`${src_repo_url}totalmemory_all.csv`, (d, _, columns) => {\n return {\n tool_id_totalmemory_date:\n \"tool_id:\" +\n d.tool_name_version.trim() +\n \"\\nmemory:\" +\n parseFloat(d.totalmemory) +\n \"\\ndate:\" +\n d.month_year.trim(),\n tool_id: d.tool_name_version.trim(),\n date: d.month_year.trim(),\n totalmemory: parseFloat(d.totalmemory)\n };\n})","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":278,"value":"avg_memory = d3.csv(`${src_repo_url}avgmemory_all.csv`, (d, _, columns) => {\n return {\n tool_id_avg_memory_date:\n \"tool_id:\" +\n d.tool_name_version.trim() +\n \"\\nmemory:\" +\n parseFloat(d.avg_memory) +\n \"\\ndate:\" +\n d.month_year.trim(),\n tool_id: d.tool_name_version.trim(),\n date: d.month_year.trim(),\n avg_memory: parseFloat(d.avg_memory)\n };\n})","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":29,"value":"total_cpu_time = d3.csv(\n `${src_repo_url}total_cpu_time.csv`,\n (d, _, columns) => {\n return {\n tool_id_date_total_cpu_time:\n \"tool_id:\" +\n d.tool_name_version.trim() +\n \"\\nDate:\" +\n d.month_year.trim() +\n \"\\ntotal_cpu_time:\" +\n parseFloat(d.total_cpu_time_seconds),\n tool_id: d.tool_name_version.trim(),\n date: d.month_year.trim(),\n total_cpu_time: parseFloat(d.total_cpu_time_seconds)\n };\n }\n)","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":266,"value":"avg_cpu_time = d3.csv(\n `${src_repo_url}avg_cpu_time.csv`,\n (d, _, columns) => {\n return {\n tool_id_date_avg_cpu_time:\n \"tool_id:\" +\n d.tool_name_version.trim() +\n \"\\nDate:\" +\n d.month_year.trim() +\n \"\\navg_cpu_time:\" +\n parseFloat(d.avg_cpu_time),\n tool_id: d.tool_name_version.trim(),\n date: d.month_year.trim(),\n avg_cpu_time: parseFloat(d.avg_cpu_time)\n };\n }\n)","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":35,"value":"numjobs_numusers = d3.csv(\n `${src_repo_url}numjobs_numusers.csv`,\n (d, _, columns) => {\n return {\n tool_id_date_numusers_numjobs:\n \"Tool_id:\" +\n d.tool_name_version.trim() +\n \"\\nNumusers:\" +\n parseFloat(d.num_users) +\n \"\\nNumjobs:\" +\n parseFloat(d.num_jobs),\n tool_id: d.tool_name_version.trim(),\n numusers: parseFloat(d.num_users),\n numjobs: parseFloat(d.num_jobs)\n };\n }\n)","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":101,"value":"num_jobs_vs_total_cpu_time = d3.csv(\n `${src_repo_url}total_cpu_time.csv`,\n (d, _, columns) => {\n return {\n tool_id_total_cpu_time_seconds:\n \"Tool_id:\" +\n d.tool_name_version.trim() +\n \"\\nTotal_CPU_time:\" +\n parseFloat(d.total_cpu_time_seconds),\n tool_id: d.tool_name_version.trim(),\n total_cpu_time_seconds:\n parseFloat(d.total_cpu_time_seconds),\n numjobs: parseFloat(d.num_jobs),\n date: d.month_year\n };\n }\n)","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":290,"value":"totalmemory_numjobs = d3.csv(\n `${src_repo_url}totalmemory_numjobs.csv`,\n (d, _, columns) => {\n return {\n tool_id_totalmemory_numjobs:\n \"Tool_id:\" +\n d.tool_name_version.trim() +\n \"\\nconsumed_mem_gb:\" +\n parseFloat(d.consumed_mem_gb) +\n \"\\nallocated_mem_gb:\" +\n parseFloat(d.allocated_mem_gb) +\n \"\\npct_mem_consumed:\" +\n parseFloat(d.pct_mem_consumed),\n tool_id: d.tool_name_version.trim(),\n consumed_mem_gb: parseFloat(d.consumed_mem_gb),\n allocated_mem_gb: parseFloat(d.allocated_mem_gb),\n pct_mem_consumed: parseFloat(d.pct_mem_consumed),\n numjobs: parseFloat(d.num_jobs),\n date: d.month_year\n };\n }\n)","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":2963,"value":"cpu_time_memory = d3.csv(\n getCsvUrl(\"https://docs.google.com/spreadsheets/d/e/2PACX-1vS_ov6KpMrMXidKwVioY3u293UwZ8WlLNw1HT6pCGg5ZjIcyG2AxoXdW6yPrmTVRF4qixWmoTgWsyNw/pub?gid=6769316&single=true&output=csv\"),\n (d, _, columns) => {\n return {\n size_tool_name_runtime:\n \"size:\" +\n d.size +\n \"\\ntool_id:\" +\n d.tool_id.trim() +\n \"\\nruntime:\" +\n d.runtime,\n size: d.size,\n runtime: parseFloat(d.runtime),\n tool_id: d.tool_id,\n };\n }\n)","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"}],"files":"$W54","stdlib":"1"}} 24:null