tags. This code finds each wrapped image and then\n// traverses back through the DOM until it reaches a non
element then\n// sticks the image before the last
element.\n\nvar { isExtraSmall, isSmall, isMedium, isLarge } = require('../tools/breakpoints')\nvar debounce = require('../tools/debounce')\n\nwindow.addEventListener('resize', debounce(moveWrappedImages))\n\nfunction moveWrappedImages() {\n const wrapped_images = document.getElementsByClassName('wrap')\n\n if (!isExtraSmall.matches) {\n for (const image of wrapped_images) {\n var child_nodes = image.parentNode.childNodes,\n first_child = image.parentNode.firstElementChild,\n length = child_nodes.length,\n element = image.previousElementSibling\n\n if (element) {\n //on resize the image is already in place and often doesn't have any previous siblings\n for (var i = 0; i < length; i++) {\n if (element.nodeName != 'P' || element == first_child) {\n break\n } else {\n element = element.previousElementSibling\n }\n }\n if (element.nodeName == 'P') {\n //in the case that there's only one
before the image\n image.parentNode.insertBefore(image, element)\n } else {\n image.parentNode.insertBefore(image, element.nextElementSibling)\n }\n }\n }\n }\n}\n\nmoveWrappedImages()\n",
"var d3 = {\n ...require('d3-axis/dist/d3-axis.min'),\n ...require('d3-scale/dist/d3-scale.min'),\n ...require('d3-selection/dist/d3-selection.min'),\n ...require('d3-shape/dist/d3-shape.min'),\n}\n\nconst { makeItalic, makeBold } = require('../tools/utilities.js')\n\nconst caretButtonHtml = ``\nconst caretUpImg = 'assets/CommonAssets/caret-up.webp'\nconst caretDownImg = 'assets/CommonAssets/caret-down.webp'\n\n//add span with definition\nd3.selectAll('span.definition').html(function (d) {\n let def_text = d3.select(this).attr('definition')\n if (def_text.includes('*')) {\n // single star = italics\n if (def_text.charAt(def_text.indexOf('*') + 1) != '*') {\n def_text = makeItalic(def_text)\n } else {\n // double star = bold\n def_text = makeBold(def_text)\n }\n }\n\n const definitionText = ` \n\t\t\t\t\t\t\t ${def_text} tag that's placed inside the figcaption by\n//archieML and place it directly into the figcaption instead.\nfunction formatFigCaptions() {\n let figure_captions = document.querySelectorAll('figcaption')\n figure_captions.forEach((element) => {\n let p = element.querySelector('p')\n let p_text = p.innerHTML\n element.innerHTML = p_text\n p.remove()\n })\n}\n\nfunction makeItalic(text) {\n text_split = text.split('*')\n text_split[1] = '' + text_split[1] + ''\n text = text_split.join('').replaceAll('*', '')\n return text\n}\nfunction makeBold(text) {\n text_split = text.split('**')\n text_split[1] = '' + text_split[1] + ''\n text = text_split.join('').replaceAll('**', '')\n return text\n}\n\nwrapListsWithSpans()\ncreateListItemsFromIndicators()\nformatFigCaptions()\n\nmodule.exports = { makeItalic, makeBold }\n",
"// var data_main = require(\"./global_var\");\n// var riskDATA = data_main.riskData;\nif (document.getElementById('riskData')) {\n var data_file = String(document.getElementById('riskData').getAttribute('key'))\n // Get title to use for download data\n var data_string = String('./data/' + data_file + '.json')\n}\nvar data_aux = require('../hyphenDataImport')\nvar hyphen_data = data_aux.hyphenData\n\nlet hyphen_dict = {}\nfor (let i = 0; i < hyphen_data.length; i++) {\n hyphen_dict[hyphen_data[i].Condition] = hyphen_data[i].ConditionHyphen\n}\n\nconst { curr_survey, survey_dict } = require('../survey_dict')\n\nconst current_survey_dict = survey_dict[curr_survey]\n\n// time period object consumed by clean_data_export.js\nlet tObj = {\n T1: current_survey_dict.t1,\n T2: current_survey_dict.t2,\n}\n\nif (current_survey_dict.t3) {\n tObj.T3 = current_survey_dict.t3\n}\n\nvar { isExtraSmall, isSmall, isMedium, isLarge } = require('../tools/breakpoints')\nvar debounce = require('../tools/debounce')\nvar classify = require('../tools/classify')\nvar unclassify = require('../tools/unclassify')\nvar export_data = require('../dataExport/export_data')\nvar saveAs = require('file-saver')\nvar cleanDataforExport = require('../dataExport/clean_data_export')\n\nvar d3 = {\n ...require('d3-axis/dist/d3-axis.min'),\n ...require('d3-scale/dist/d3-scale.min'),\n ...require('d3-selection/dist/d3-selection.min'),\n ...require('d3-shape/dist/d3-shape.min'),\n ...require('d3-collection/dist/d3-collection.min'),\n ...require('d3-format/dist/d3-format.min'),\n ...require('d3-array/dist/d3-array.min'),\n ...require('d3-textwrap/build/d3-textwrap.min'),\n ...require('d3-fetch/dist/d3-fetch'),\n}\n\n//re-render chart on resize\nwindow.addEventListener('resize', debounce(renderRiskGraphic))\n//window.addEventListener(\"resize\", renderRiskGraphic());\n\nvar line = d3.line()\n\nasync function renderRiskGraphic() {\n if (!data_string) return\n \n let barHeight = 25\n let barGap = 15\n let metricLabelWidth = 85\n let labelWidth = 110\n let labelPadding = 20\n let labelMargin = 6\n let valueGap = 6\n // num_rows = 12;\n\n let margins = {\n top: 40,\n right: 50,\n bottom: 20,\n left: labelWidth + labelMargin,\n }\n\n if (isLarge.matches || (isMedium[0].matches && isMedium[1].matches)) {\n const totalChartHeight = 130\n const betweenChartMargin = 65\n const barWidth = 60\n labelPadding = 0\n barGap = 15\n labelWidth = 180\n barHeight = 25\n margins = {\n top: 40,\n right: 45,\n bottom: 20,\n left: labelWidth + labelMargin,\n }\n }\n\n const riskDATA = await d3.json(data_string)\n let risk_time_period\n // determine the latest time period available\n for (var i = 1; i < 6; i++) {\n if (riskDATA[0][`Est.P.T${i}.AttRisk`]) {\n risk_time_period = i\n }\n }\n\n let extentColumn = `Est.P.T${risk_time_period}.Cond`,\n extentStartRange = `LCB.P.T${risk_time_period}.Cond`,\n extentEndRange = `UCB.P.T${risk_time_period}.Cond`,\n relativeColumn = `Est.Ratio.T${risk_time_period}.RelRisk`,\n relativeStartRange = `LCB.Ratio.T${risk_time_period}.RelRisk`,\n relativeEndRange = `UCB.Ratio.T${risk_time_period}.RelRisk`,\n attColumn = `Est.P.T${risk_time_period}.AttRisk`,\n attStartRange = `LCB.P.T${risk_time_period}.AttRisk`,\n attEndRange = `UCB.P.T${risk_time_period}.AttRisk`\n\n // console.log(\"extentColumn\", extentColumn)\n // console.log(\"extentStartRange\", extentStartRange)\n // console.log(\"extentEndRange\", extentEndRange)\n // console.log(\"relativeColumn\", relativeColumn)\n // console.log(\"relativeStartRange\", relativeStartRange)\n // console.log(\"relativeEndRange\", relativeEndRange)\n // console.log(\"attColumn\", attColumn)\n // console.log(\"attStartRange\" , attStartRange)\n // console.log(\"attEndRange\", attEndRange)\n\n var containers = document.querySelectorAll('.riskChart')\n\n //clear for redraw\n var containerElements = d3.selectAll(containers)\n containerElements.html('')\n\n // Calculate actual chart dimensions\n var chartWidth = containers[0].offsetWidth - margins.left - margins.right\n\n containers.forEach(function (node) {\n let graphicTitle = node.closest('.chartDiv').childNodes[1].textContent\n\n let response_type = node.getAttribute('key')\n\n let dataFiltered = riskDATA.filter(function (d) {\n return classify(d.ResponsePL) == response_type\n })\n\n //sort the data by value\n var sortedData_1 = dataFiltered.sort((a, b) => d3.descending(Number(a[attColumn]), Number(b[attColumn])))\n\n //// filter data for subpop\n var chart_subpop = d3.select(node).attr('subpop').replaceAll('_', ' ')\n\n //filter to current subpopulation\n let sortedData = sortedData_1.filter(function (d) {\n return d.SubpopPL == chart_subpop\n })\n\n // filter data to only show point estimates for attributable risk greater than zero\n sortedData = sortedData.filter(function (d) {\n return d[attColumn] > '0'\n })\n\n //reassign num\n let num_rows = sortedData.length\n let chartHeight = (barHeight + barGap) * num_rows\n\n ///prepare data for export\n\n var dataForExport = JSON.parse(JSON.stringify(sortedData))\n\n var response = unclassify(response_type)\n\n dataForExport = cleanDataforExport(dataForExport, 'risk', response, [risk_time_period], tObj)\n\n var chart_link = d3.select(node.closest('.chartDiv')).select('.riskAnnotation').empty()\n ? node.nextElementSibling\n : node.nextElementSibling.nextElementSibling\n\n let response_for_download = response === 'Vegetation' ? 'Vegetation' : response\n\n // download link\n d3.select(chart_link)\n .selectAll('a.downloadLink')\n .on('mouseover', (d) => {\n d3.select(chart_link)\n .select('a.downloadLink')\n .attr(\n 'href',\n `${curr_survey}_Attributable-Risk-to-` +\n response_for_download.replace(' ', '-') +\n '-Estimates_' +\n chart_subpop +\n '.csv'\n ) //this adds an address that will appear in the lower left corner on Chrome\n .attr('title', '') // this removes the \"Data Download\" tooltip on hover\n })\n .on('mouseout', (d) => {\n d3.select(chart_link).select('a.downloadLink').attr('title', 'Data Download') // this replaces the \"Data Download\" title after hover\n })\n .on('click', (d) => {\n var csv_blob = export_data(dataForExport, graphicTitle, response_type, null, null, 'risk')\n var link = node.nextElementSibling\n d3.select(chart_link).select('a.downloadLink').attr('href', null).style('color', '#5f4c95') //prevent reload on click\n\n let downloadTitle = current_survey_dict['riskDownloadTitle']\n .replace('Response', response_for_download)\n .replace('chartSubpop', chart_subpop)\n downloadTitle = downloadTitle.replace(/ /g, '-')\n saveAs(csv_blob, downloadTitle + '.csv')\n })\n\n // dashboard link\n d3.select(chart_link)\n .selectAll('a.dashboardLink')\n .on('mouseover', () => {\n d3.select(chart_link).select('a.dashboardLink').attr('title', '') // this removes the \"Dashboard Link\" tooltip on hover\n })\n .on('mouseout', () => {\n d3.select(chart_link).select('a.dashboardLink').attr('title', 'Dashboard Link') // this replaces the \"Dashboard Link\" title after hover\n })\n\n ///draw charts\n let chart_type = node.id\n\n var chartDiv = d3.select(node).append('div').attr('class', 'graphic-wrapper')\n\n var chartElements = chartDiv\n .append('svg')\n .attr('width', chartWidth + margins.left + margins.right)\n .attr('height', chartHeight + margins.top + margins.bottom)\n .attr('overflow', 'visible')\n .append('g')\n .attr('transform', `translate(${margins.left},${margins.top})`)\n\n if (chart_type == 'relative-risk-chart') {\n // find max UCI\n var uci = []\n sortedData.forEach(function (d) {\n if (d[relativeEndRange] != 'NA') {\n uci.push(Math.ceil(Number(d[relativeEndRange])))\n }\n })\n max_val = Math.max(...uci)\n\n var xScale = d3.scaleLinear().domain([0, max_val]).range([0, chartWidth])\n\n // Create D3 axes.\n var xAxis = d3.axisTop(xScale).ticks(5)\n } else {\n var xScale = d3.scaleLinear().domain([0, 100]).range([0, chartWidth])\n\n // Create D3 axes.\n var xAxis = d3\n .axisTop(xScale)\n .ticks(5)\n .tickFormat((d) => d + '%')\n }\n\n // Render axes to chart.\n chartElements.append('g').attr('class', 'x axis').call(xAxis)\n\n // Render grid to chart.\n var xAxisGrid = function () {\n return xAxis\n }\n\n chartElements.append('g').attr('class', 'x grid').call(xAxisGrid().tickSize(-chartHeight, 0, 0).tickFormat(''))\n let y = d3\n .scaleBand()\n .domain(d3.range(sortedData.length))\n .rangeRound([0, chartHeight + barGap / 2])\n .padding(0.1)\n\n let yAxis = (g) =>\n g\n .call(\n d3\n .axisLeft(y)\n .tickFormat((i) => {\n var value = sortedData[i].StressorPL\n if (value == 'Chlorophyll a') {\n return \"Chlorophyll a\"\n } else if (isLarge.matches && value != 'Chlorophyll a') {\n return value\n } else if (!isLarge.matches && value != 'Chlorophyll a') {\n //the hyphen dictionary isn't used here because none of the indicators have hyphens listed.\n return value\n }\n })\n .tickSizeOuter(0)\n .tickSize(0)\n )\n .call((g) => g.select('.domain').remove())\n\n chartElements.append('g').attr('class', 'y-axis').call(yAxis)\n\n var num_indicators = sortedData.length,\n valueColumn\n let startColumn = null\n let endColumn = null\n\n switch (chart_type) {\n case 'relative-risk-chart':\n valueColumn = relativeColumn\n startColumn = relativeStartRange\n endColumn = relativeEndRange\n break\n case 'relative-extent-chart':\n valueColumn = extentColumn\n startColumn = extentStartRange\n endColumn = extentEndRange\n break\n case 'attributable-risk-chart':\n valueColumn = attColumn\n startColumn = attStartRange\n endColumn = attEndRange\n }\n\n var chartArea = chartElements\n .append('g')\n // .attr('transform', d =>{\n // if (i==1){\n // return 'translate(0, ' + translate_value + ')';\n // }})\n .attr('class', 'chartAreag')\n\n var barArea = chartArea.append('g').attr('class', 'barAreag')\n\n const bars = barArea.selectAll('rect').data(sortedData).enter()\n\n bars\n .append('rect')\n .attr('class', (d) => 'bar ' + chart_type + ' ' + classify(d.StressorPL))\n .attr('x', (d) => {\n return d[valueColumn] >= 0 ? xScale(0) : xScale(d[valueColumn])\n })\n .attr('y', (d, i) => i * (barHeight + barGap) + barHeight * 0.5)\n .attr('height', barHeight)\n .attr('width', (d) => {\n if (d[valueColumn] != 'NA' && !isNaN(d[valueColumn]) && d[valueColumn] >= 0) {\n return Math.abs(xScale(0) - xScale(d[valueColumn]))\n }\n })\n\n //range\n bars\n .append('rect')\n .attr('class', (d) => 'range ' + chart_type + ' ' + classify(d.StressorPL))\n .attr('x', (d) => (d[startColumn] < 0 ? xScale(0) : xScale(d[startColumn])))\n .attr('y', (d, i) => i * (barHeight + barGap) + barHeight - 2) //the -2 centers in the middle of the bar\n .attr('height', barHeight / 11)\n .attr('width', (d) => {\n if (d[endColumn] - d[startColumn]) {\n if (d[startColumn] < 0) {\n return xScale(d[endColumn])\n } else {\n return xScale(d[endColumn] - d[startColumn])\n }\n } else {\n return 0\n }\n })\n\n //add bar values\n bars\n .append('g')\n .attr('class', 'value')\n .append('text')\n .attr('class', (d) => {\n if (d[valueColumn] == 'NA' || d[endColumn] == 'NA' || d[startColumn] == 'NA' || d[valueColumn] == 0) {\n return 'na ' + 'labels risk ' + chart_type\n } else {\n return 'labels risk ' + chart_type\n }\n })\n .attr('id', (d) => classify(d.StressorPL))\n .attr('y', (d, i) => i * (barHeight + barGap) + barHeight * 1.1)\n .attr('x', (d) => (d[endColumn] == 'NA' ? 0 : xScale(d[endColumn]) + 5))\n\n .text((d) => {\n switch (chart_type) {\n case 'relative-extent-chart':\n return Math.round(d[valueColumn]) + '%'\n case 'relative-risk-chart':\n if (d[valueColumn] == 0) {\n return 'None'\n } else if (d[valueColumn] == 'NA' || d[endColumn] == 'NA' || d[startColumn] == 'NA') {\n return 'N/A'\n } else {\n return Number(d[valueColumn]).toFixed(1)\n }\n break\n case 'attributable-risk-chart':\n if (d[valueColumn] == 'NA' || d[endColumn] == 'NA' || d[startColumn] == 'NA') {\n return 'N/A'\n } else if (d[valueColumn] == 0) {\n return 'None'\n } else {\n if (d[valueColumn] > 0 && d[valueColumn] < 0.5) {\n return '<1%'\n } else {\n return Math.round(d[valueColumn]) + '%'\n }\n }\n break\n }\n })\n\n //////add annotations//////////\n if (!d3.select(node.closest('.chartDiv')).select('.riskAnnotation').empty()) {\n const key = d3.select(node.closest('.chartDiv')).select('.riskAnnotation').attr('key')\n const annotation_text = d3.select(node.closest('.chartDiv')).select('.riskAnnotation').select('p').node()\n replaceDataValue(annotation_text, key, valueColumn, response_type, riskDATA, risk_time_period)\n\n //add arrow marker\n chartElements.append('defs').html(`
eutrophic\"\n },\n {\n \"Condition\": \"Large\",\n \"ConditionHyphen\": \"Large\"\n },\n {\n \"Condition\": \"Low\",\n \"ConditionHyphen\": \"Low\"\n },\n {\n \"Condition\": \"Low Oxygen\",\n \"ConditionHyphen\": \"Low Oxygen\"\n },\n {\n \"Condition\": \"Medium\",\n \"ConditionHyphen\": \"Medium\"\n },\n {\n \"Condition\": \"Small\",\n \"ConditionHyphen\": \"Small\"\n },\n {\n \"Condition\": \"Mesotrophic\",\n \"ConditionHyphen\": \"Meso-
trophic\"\n },\n {\n \"Condition\": \"Not Assessed\",\n \"ConditionHyphen\": \"Not Assessed\"\n },\n {\n \"Condition\": \"Not Detected\",\n \"ConditionHyphen\": \"Not Detected\"\n },\n {\n \"Condition\": \"Not Large\",\n \"ConditionHyphen\": \"Not Large\"\n },\n {\n \"Condition\": \"Oligotrophic\",\n \"ConditionHyphen\": \"Oligo-
trophic\"\n },\n {\n \"Condition\": \"Poor\",\n \"ConditionHyphen\": \"Poor\"\n },\n {\n \"Condition\": \"Satisfactory Oxygen\",\n \"ConditionHyphen\": \"Satisfactory Oxygen\"\n },\n {\n \"Condition\": \"Very Low Oxygen\",\n \"ConditionHyphen\": \"Very Low Oxygen\"\n },\n {\n \"Condition\": \"Very Poor\",\n \"ConditionHyphen\": \"Very Poor\"\n },\n {\n \"Condition\": \"Acidification\",\n \"ConditionHyphen\": \"Acidification\"\n },\n {\n \"Condition\": \"Atrazine Detection\",\n \"ConditionHyphen\": \"Atrazine Detection\"\n },\n {\n \"Condition\": \"Chlorophyll a\",\n \"ConditionHyphen\": \"Chlorophyll a\"\n },\n {\n \"Condition\": \"Oxygen (Dissolved)\",\n \"ConditionHyphen\": \"Oxygen (Dissolved)\"\n },\n {\n \"Condition\": \"Lake Drawdown Exposure\",\n \"ConditionHyphen\": \"Lake Drawdown Exposure\"\n },\n {\n \"Condition\": \"Shallow Water Habitat\",\n \"ConditionHyphen\": \"Shallow Water Habitat\"\n },\n {\n \"Condition\": \"Lake Habitat Complexity\",\n \"ConditionHyphen\": \"Lake Habitat Complexity\"\n },\n {\n \"Condition\": \"Microcystins Detection\",\n \"ConditionHyphen\": \"Microcystins Detection\"\n },\n {\n \"Condition\": \"Nitrogen (Total)\",\n \"ConditionHyphen\": \"Nitrogen (Total)\"\n },\n {\n \"Condition\": \"Phosphorus (Total)\",\n \"ConditionHyphen\": \"Phosphorus (Total)\"\n },\n {\n \"Condition\": \"Lakeshore Disturbance\",\n \"ConditionHyphen\": \"Lakeshore Disturbance\"\n },\n {\n \"Condition\": \"Riparian Vegetation Cover\",\n \"ConditionHyphen\": \"Riparian Vegetation Cover\"\n }\n]",
"module.exports = (x, y) => `translate(${x}, ${y})`\n",
"module.exports = function (fn, duration = 1000) {\n var timeout\n\n return function (...args) {\n if (timeout) return\n timeout = setTimeout(function () {\n timeout = null\n fn.apply(null, args)\n }, duration)\n }\n}\n",
"module.exports = function (str) {\n return (str + '')\n .toLowerCase()\n .replace(/\\s+/g, '-') // Replace spaces with -\n .replace(/[^\\w\\-]+/g, '') // Remove all non-word chars\n .replace(/\\-\\-+/g, '-') // Replace multiple - with single -\n .replace(/^-+/, '') // Trim - from start of text\n .replace(/-+$/, '') // Trim - from end of text\n}\n",
"/* @license\nPapa Parse\nv5.4.1\nhttps://github.com/mholt/PapaParse\nLicense: MIT\n*/\n!function(e,t){\"function\"==typeof define&&define.amd?define([],t):\"object\"==typeof module&&\"undefined\"!=typeof exports?module.exports=t():e.Papa=t()}(this,function s(){\"use strict\";var f=\"undefined\"!=typeof self?self:\"undefined\"!=typeof window?window:void 0!==f?f:{};var n=!f.document&&!!f.postMessage,o=f.IS_PAPA_WORKER||!1,a={},u=0,b={parse:function(e,t){var r=(t=t||{}).dynamicTyping||!1;J(r)&&(t.dynamicTypingFunction=r,r={});if(t.dynamicTyping=r,t.transform=!!J(t.transform)&&t.transform,t.worker&&b.WORKERS_SUPPORTED){var i=function(){if(!b.WORKERS_SUPPORTED)return!1;var e=(r=f.URL||f.webkitURL||null,i=s.toString(),b.BLOB_URL||(b.BLOB_URL=r.createObjectURL(new Blob([\"var global = (function() { if (typeof self !== 'undefined') { return self; } if (typeof window !== 'undefined') { return window; } if (typeof global !== 'undefined') { return global; } return {}; })(); global.IS_PAPA_WORKER=true; \",\"(\",i,\")();\"],{type:\"text/javascript\"})))),t=new f.Worker(e);var r,i;return t.onmessage=_,t.id=u++,a[t.id]=t}();return i.userStep=t.step,i.userChunk=t.chunk,i.userComplete=t.complete,i.userError=t.error,t.step=J(t.step),t.chunk=J(t.chunk),t.complete=J(t.complete),t.error=J(t.error),delete t.worker,void i.postMessage({input:e,config:t,workerId:i.id})}var n=null;b.NODE_STREAM_INPUT,\"string\"==typeof e?(e=function(e){if(65279===e.charCodeAt(0))return e.slice(1);return e}(e),n=t.download?new l(t):new p(t)):!0===e.readable&&J(e.read)&&J(e.on)?n=new g(t):(f.File&&e instanceof File||e instanceof Object)&&(n=new c(t));return n.stream(e)},unparse:function(e,t){var n=!1,_=!0,m=\",\",y=\"\\r\\n\",s='\"',a=s+s,r=!1,i=null,o=!1;!function(){if(\"object\"!=typeof t)return;\"string\"!=typeof t.delimiter||b.BAD_DELIMITERS.filter(function(e){return-1!==t.delimiter.indexOf(e)}).length||(m=t.delimiter);(\"boolean\"==typeof t.quotes||\"function\"==typeof t.quotes||Array.isArray(t.quotes))&&(n=t.quotes);\"boolean\"!=typeof t.skipEmptyLines&&\"string\"!=typeof t.skipEmptyLines||(r=t.skipEmptyLines);\"string\"==typeof t.newline&&(y=t.newline);\"string\"==typeof t.quoteChar&&(s=t.quoteChar);\"boolean\"==typeof t.header&&(_=t.header);if(Array.isArray(t.columns)){if(0===t.columns.length)throw new Error(\"Option columns is empty\");i=t.columns}void 0!==t.escapeChar&&(a=t.escapeChar+s);(\"boolean\"==typeof t.escapeFormulae||t.escapeFormulae instanceof RegExp)&&(o=t.escapeFormulae instanceof RegExp?t.escapeFormulae:/^[=+\\-@\\t\\r].*$/)}();var u=new RegExp(Q(s),\"g\");\"string\"==typeof e&&(e=JSON.parse(e));if(Array.isArray(e)){if(!e.length||Array.isArray(e[0]))return h(null,e,r);if(\"object\"==typeof e[0])return h(i||Object.keys(e[0]),e,r)}else if(\"object\"==typeof e)return\"string\"==typeof e.data&&(e.data=JSON.parse(e.data)),Array.isArray(e.data)&&(e.fields||(e.fields=e.meta&&e.meta.fields||i),e.fields||(e.fields=Array.isArray(e.data[0])?e.fields:\"object\"==typeof e.data[0]?Object.keys(e.data[0]):[]),Array.isArray(e.data[0])||\"object\"==typeof e.data[0]||(e.data=[e.data])),h(e.fields||[],e.data||[],r);throw new Error(\"Unable to serialize unrecognized input\");function h(e,t,r){var i=\"\";\"string\"==typeof e&&(e=JSON.parse(e)),\"string\"==typeof t&&(t=JSON.parse(t));var n=Array.isArray(e)&&0