29:null 2a:["$","title",null,{"children":"Trump 3rd term? | Adjacent | Observable"}] 2f:T1f6c,// Improved function to fetch and process price histories for multiple markets async function fetchProcessedMarketHistoriesMax(marketIds, marketNames) { try { // Validate inputs if (!Array.isArray(marketIds) || !Array.isArray(marketNames) || marketIds.length !== marketNames.length) { throw new Error("marketIds and marketNames must be arrays of the same length"); } // Create a mapping between market IDs and their display names const marketNameMap = {}; marketIds.forEach((id, index) => { marketNameMap[id] = marketNames[index]; }); console.log("Fetching data for markets:", marketNames.join(", ")); // Fetch raw data for all markets - use max interval to ensure we get all available data const fetchPromises = marketIds.map(marketId => { // Using "max" interval to get all available data for this market const interval = "max"; const url = `https://clob.polymarket.com/prices-history?market=${marketId}&interval=${interval}`; return fetch(url, { headers: { "Content-Type": "application/json", "Cache-Control": "no-cache" } }) .then(response => { if (!response.ok) { throw new Error(`HTTP error! Status: ${response.status} for market ${marketId}`); } return response.json(); }) .then(data => ({ marketId, data })) .catch(error => { console.error(`Error fetching market ${marketId}:`, error); return { marketId, error: error.message }; }); }); // Wait for all fetches to complete const results = await Promise.all(fetchPromises); // Process each market's data to get daily closing prices const marketDailyPrices = {}; const marketCreationDates = {}; results.forEach(result => { const marketName = marketNameMap[result.marketId]; if (result.error || !result.data?.history || result.data.history.length === 0) { console.warn(`No valid data for market ${marketName}`); marketDailyPrices[marketName] = new Map(); return; } console.log(`Processing ${result.data.history.length} price points for ${marketName}`); // Find market creation date from earliest data point if (result.data.history.length > 0) { const timestamps = result.data.history.map(point => point.t); const earliestTimestamp = Math.min(...timestamps); const creationDate = new Date(earliestTimestamp * 1000); // Store creation date with no time component (UTC date) const creationDateUTC = new Date(Date.UTC( creationDate.getUTCFullYear(), creationDate.getUTCMonth(), creationDate.getUTCDate() )); marketCreationDates[marketName] = creationDateUTC; console.log(`Market ${marketName} creation date:`, creationDateUTC.toISOString().split('T')[0]); } // Group prices by day and get closing price for each day const pricesByDay = {}; result.data.history.forEach(point => { // Convert timestamp to date (assuming timestamp is in seconds) const date = new Date(point.t * 1000); // Create a UTC date key for consistent timezone handling const dayKey = `${date.getUTCFullYear()}-${String(date.getUTCMonth() + 1).padStart(2, '0')}-${String(date.getUTCDate()).padStart(2, '0')}`; if (!pricesByDay[dayKey]) { pricesByDay[dayKey] = []; } pricesByDay[dayKey].push({ timestamp: point.t, price: point.p }); }); // For each day, get the closing price (last price of the day) const dailyClosingPrices = new Map(); Object.entries(pricesByDay).forEach(([day, prices]) => { // Sort by timestamp (latest last) const sortedPrices = prices.sort((a, b) => a.timestamp - b.timestamp); // Take the latest price of the day const latestPrice = sortedPrices[sortedPrices.length - 1]; dailyClosingPrices.set(day, latestPrice.price); }); // Store the daily prices for this market marketDailyPrices[marketName] = dailyClosingPrices; console.log(`Processed ${dailyClosingPrices.size} daily prices for ${marketName}`); }); // Determine the full date range const today = new Date(); const todayUTC = new Date(Date.UTC(today.getUTCFullYear(), today.getUTCMonth(), today.getUTCDate())); // Find the earliest market creation date let startDate = todayUTC; Object.values(marketCreationDates).forEach(date => { if (date < startDate) { startDate = date; } }); console.log("Start date:", startDate.toISOString().split('T')[0]); console.log("End date (today):", todayUTC.toISOString().split('T')[0]); // Generate all dates in the range const allDates = []; const currentDate = new Date(startDate); while (currentDate <= todayUTC) { const dateStr = currentDate.toISOString().split('T')[0]; allDates.push(dateStr); // Move to next day currentDate.setUTCDate(currentDate.getUTCDate() + 1); } console.log(`Generated ${allDates.length} days in date range`); // Fill in missing prices by carrying forward the last known price const filledMarketPrices = {}; Object.entries(marketDailyPrices).forEach(([marketName, priceMap]) => { filledMarketPrices[marketName] = new Map(); const creationDate = marketCreationDates[marketName]; // If empty market, skip if (priceMap.size === 0) { console.warn(`No price data to fill for ${marketName}`); return; } // Sort the existing dates const existingDates = Array.from(priceMap.keys()).sort(); console.log(`${marketName} has data for ${existingDates.length} days, first:`, existingDates[0], "last:", existingDates[existingDates.length - 1]); // If we have no data, skip if (existingDates.length === 0) return; let lastPrice = null; // Fill in prices for all dates in our range allDates.forEach(dateStr => { const currentDate = new Date(dateStr); if (priceMap.has(dateStr)) { // We have data for this day lastPrice = priceMap.get(dateStr); filledMarketPrices[marketName].set(dateStr, lastPrice); } else if (lastPrice !== null && currentDate >= creationDate) { // Carry forward last known price if after market creation filledMarketPrices[marketName].set(dateStr, lastPrice); } else { // No data yet for this market filledMarketPrices[marketName].set(dateStr, null); } }); console.log(`Filled in prices for ${marketName}, now have ${filledMarketPrices[marketName].size} days`); }); // Create the final dataset in the requested format const processedHistory = allDates.map(dateStr => { // Create Date object for midnight UTC, then adjust to local time for display const utcDate = new Date(dateStr); // For display in Observable, adjust to local timezone const date = new Date(utcDate.getTime()); const result = { date: date }; // Add each market's price for this date Object.keys(filledMarketPrices).forEach(marketName => { const price = filledMarketPrices[marketName].get(dateStr); // Multiply by 100 to match your format result[marketName] = price !== null ? price * 100 : null; }); return result; }); console.log(`Final processed dataset has ${processedHistory.length} days`); return processedHistory; } catch (error) { console.error("Error in fetchProcessedMarketHistories:", error); return { error: error.message }; } }30:T22a7,// Updated function to fetch and process price histories for the last week with proper fidelity async function fetchProcessedMarketHistoriesLastWeek(marketIds, marketNames) { try { // Validate inputs if (!Array.isArray(marketIds) || !Array.isArray(marketNames) || marketIds.length !== marketNames.length) { throw new Error("marketIds and marketNames must be arrays of the same length"); } // Create a mapping between market IDs and their display names const marketNameMap = {}; marketIds.forEach((id, index) => { marketNameMap[id] = marketNames[index]; }); console.log("Fetching data for markets (last week only):", marketNames.join(", ")); // Fetch raw data for all markets - use 1w interval with fidelity=15 to get last week of data const fetchPromises = marketIds.map(marketId => { // Using "1w" interval with fidelity=15 (15-minute intervals) const interval = "1w"; const fidelity = 15; const url = `https://clob.polymarket.com/prices-history?market=${marketId}&interval=${interval}&fidelity=${fidelity}`; console.log(`Fetching from URL: ${url}`); return fetch(url, { headers: { "Content-Type": "application/json", "Cache-Control": "no-cache" } }) .then(response => { if (!response.ok) { throw new Error(`HTTP error! Status: ${response.status} for market ${marketId}`); } return response.json(); }) .then(data => { // Log the data size to verify we're getting results // Use marketNameMap to get the market name from the ID const mktName = marketNameMap[marketId]; console.log(`Received ${data.history ? data.history.length : 0} data points for ${mktName}`); return { marketId, data }; }) .catch(error => { console.error(`Error fetching market ${marketId}:`, error); return { marketId, error: error.message }; }); }); // Wait for all fetches to complete const results = await Promise.all(fetchPromises); // Process each market's data to get daily closing prices const marketDailyPrices = {}; const marketCreationDates = {}; results.forEach(result => { const marketName = marketNameMap[result.marketId]; if (result.error || !result.data?.history || result.data.history.length === 0) { console.warn(`No valid data for market ${marketName}`); marketDailyPrices[marketName] = new Map(); return; } console.log(`Processing ${result.data.history.length} price points for ${marketName}`); // For last week data, we'll still track the earliest date in our fetched data if (result.data.history.length > 0) { const timestamps = result.data.history.map(point => point.t); const earliestTimestamp = Math.min(...timestamps); const creationDate = new Date(earliestTimestamp * 1000); // Store creation date with no time component (UTC date) const creationDateUTC = new Date(Date.UTC( creationDate.getUTCFullYear(), creationDate.getUTCMonth(), creationDate.getUTCDate() )); marketCreationDates[marketName] = creationDateUTC; console.log(`Market ${marketName} earliest date in last week:`, creationDateUTC.toISOString().split('T')[0]); } // Group prices by day and get closing price for each day const pricesByDay = {}; result.data.history.forEach(point => { // Convert timestamp to date (assuming timestamp is in seconds) const date = new Date(point.t * 1000); // Create a UTC date key for consistent timezone handling const dayKey = `${date.getUTCFullYear()}-${String(date.getUTCMonth() + 1).padStart(2, '0')}-${String(date.getUTCDate()).padStart(2, '0')}`; if (!pricesByDay[dayKey]) { pricesByDay[dayKey] = []; } pricesByDay[dayKey].push({ timestamp: point.t, price: point.p }); }); // For each day, get the closing price (last price of the day) const dailyClosingPrices = new Map(); Object.entries(pricesByDay).forEach(([day, prices]) => { // Sort by timestamp (latest last) const sortedPrices = prices.sort((a, b) => a.timestamp - b.timestamp); // Take the latest price of the day const latestPrice = sortedPrices[sortedPrices.length - 1]; dailyClosingPrices.set(day, latestPrice.price); }); // Store the daily prices for this market marketDailyPrices[marketName] = dailyClosingPrices; console.log(`Processed ${dailyClosingPrices.size} daily prices for ${marketName}`); // Log a sample of the prices to verify data if (dailyClosingPrices.size > 0) { const sampleDay = Array.from(dailyClosingPrices.keys())[0]; console.log(`Sample price for ${marketName} on ${sampleDay}: ${dailyClosingPrices.get(sampleDay)}`); } }); // Determine the date range for the last week const today = new Date(); const todayUTC = new Date(Date.UTC(today.getUTCFullYear(), today.getUTCMonth(), today.getUTCDate())); // For last week, we calculate the start date as 7 days ago const oneWeekAgo = new Date(todayUTC); oneWeekAgo.setUTCDate(oneWeekAgo.getUTCDate() - 7); const startDate = oneWeekAgo; console.log("Start date (one week ago):", startDate.toISOString().split('T')[0]); console.log("End date (today):", todayUTC.toISOString().split('T')[0]); // Generate all dates in the range (last 7 days) const allDates = []; const currentDate = new Date(startDate); while (currentDate <= todayUTC) { const dateStr = currentDate.toISOString().split('T')[0]; allDates.push(dateStr); // Move to next day currentDate.setUTCDate(currentDate.getUTCDate() + 1); } console.log(`Generated ${allDates.length} days in date range`); // Fill in missing prices by carrying forward the last known price const filledMarketPrices = {}; Object.entries(marketDailyPrices).forEach(([marketName, priceMap]) => { filledMarketPrices[marketName] = new Map(); const earliestDate = marketCreationDates[marketName] || startDate; // If empty market, skip if (priceMap.size === 0) { console.warn(`No price data to fill for ${marketName}`); return; } // Sort the existing dates const existingDates = Array.from(priceMap.keys()).sort(); console.log(`${marketName} has data for ${existingDates.length} days, first:`, existingDates[0], "last:", existingDates[existingDates.length - 1]); // If we have no data, skip if (existingDates.length === 0) return; let lastPrice = null; // Fill in prices for all dates in our range allDates.forEach(dateStr => { const currentDate = new Date(dateStr); if (priceMap.has(dateStr)) { // We have data for this day lastPrice = priceMap.get(dateStr); filledMarketPrices[marketName].set(dateStr, lastPrice); } else if (lastPrice !== null && currentDate >= earliestDate) { // Carry forward last known price if after market creation filledMarketPrices[marketName].set(dateStr, lastPrice); } else { // No data yet for this market filledMarketPrices[marketName].set(dateStr, null); } }); console.log(`Filled in prices for ${marketName}, now have ${filledMarketPrices[marketName].size} days`); }); // Create the final dataset in the requested format const processedHistory = allDates.map(dateStr => { // Create Date object for midnight UTC, then adjust to local time for display const utcDate = new Date(dateStr); // For display in Observable, adjust to local timezone const date = new Date(utcDate.getTime()); const result = { date: date }; // Add each market's price for this date Object.keys(filledMarketPrices).forEach(marketName => { const price = filledMarketPrices[marketName].get(dateStr); // Multiply by 100 to match your format result[marketName] = price !== null ? price * 100 : null; }); return result; }); console.log(`Final processed dataset has ${processedHistory.length} days`); return processedHistory; } catch (error) { console.error("Error in fetchProcessedMarketHistoriesLastWeek:", error); return { error: error.message }; } }31:T1c87,viewof trump3rdTermMax = { // Function to determine width based on container size const getResponsiveWidth = () => { // Get the container width (default to 800 if not available) const containerWidth = width || 800; return Math.min(containerWidth, 800); // Cap at 800px max }; // Calculate responsive dimensions const chartWidth = getResponsiveWidth(); const chartHeight = chartWidth * 0.625; // Maintain aspect ratio (500/800 = 0.625) // Adjust font sizes based on width const titleSize = chartWidth < 500 ? 14 : 16; const subtitleSize = chartWidth < 500 ? 12 : 14; const labelSize = chartWidth < 500 ? 10 : 12; // Adjust margins for smaller screens const rightMargin = chartWidth < 500 ? 80 : 120; const leftMargin = chartWidth < 500 ? 40 : 60; const bottomMargin = chartWidth < 500 ? 30 : 40; const topMargin = chartWidth < 500 ? 30 : 40; // Adjust tick count for smaller screens const tickCount = chartWidth < 500 ? 4 : 8; // Create the basic chart using Plot const chart = Plot.plot({ title: "Trump 3rd Term?", subtitle: "Market History (Max)", width: chartWidth, height: chartHeight, style: { fontSize: labelSize, ".plot-title": { fontSize: titleSize + "px" }, ".plot-subtitle": { fontSize: subtitleSize + "px" } }, x: { label: "Date", tickFormat: "%b %d", tickCount: tickCount, grid: true }, y: { label: "Probability (%)", domain: [0, 100], grid: true }, // Use responsive margins marginRight: rightMargin, marginLeft: leftMargin, marginBottom: bottomMargin, marginTop: topMargin, marks: [ Plot.ruleY([0, 25, 50, 75, 100], { stroke: "#ccc", strokeDasharray: "3,3" }), // Dynamically generate lines for each market with distinct colors ...marketNames.map((marketName, index) => { // Expanded color palette to ensure all lines have different colors const colors = ["#E63946", "#1D3557", "#2A9D8F", "#F4A261"]; return Plot.line(maxPriceHistory, { x: "date", y: marketName, stroke: colors[index % colors.length], strokeWidth: chartWidth < 500 ? 1.5 : 2 }); }), // Dynamically generate dots for each market with matching colors ...marketNames.map((marketName, index) => { const colors = ["#E63946", "#1D3557", "#2A9D8F", "#F4A261"]; const dotFrequency = chartWidth < 500 ? 14 : 7; // Show fewer dots on small screens return Plot.dot( maxPriceHistory.filter((d, i) => i % dotFrequency === 0), { x: "date", y: marketName, fill: colors[index % colors.length], r: chartWidth < 500 ? 2 : 3, opacity: 0.7 } ); }), // Dynamically generate end labels for each market with matching colors // Only show on larger screens ...(chartWidth >= 500 ? marketNames.map((marketName, index) => { const colors = ["#E63946", "#1D3557", "#2A9D8F", "#F4A261"]; return Plot.text( maxPriceHistory.filter( (d, i) => i === maxPriceHistory.length - 1 ), { x: "date", y: marketName, text: (d) => `${d[marketName]?.toFixed(1)}%`, dx: chartWidth < 600 ? 30 : 50, fill: colors[index % colors.length], fontWeight: "bold", fontSize: chartWidth < 600 ? 12 : 14 } ); }) : []) ] }); // Determine legend font size const legendFontSize = chartWidth < 500 ? 11 : 10.5; // Calculate watermark position and size const watermarkTop = chartHeight / 2 + topMargin; const watermarkLeft = chartWidth / 2; const watermarkSize = chartWidth < 500 ? 30 : 60; // Create a container for the chart const chartContainer = html`

${chart}

ADJACENT

`; // Create legend items HTML (will be used in both desktop and mobile views) const legendItemsHTML = marketNames .map((name, index) => { const colors = ["#E63946", "#1D3557", "#2A9D8F", "#F4A261"]; const displayName = name.replace("?", ""); if (chartWidth < 500) { // Mobile legend items return `

${displayName}

`; } else { // Desktop legend items return `

${displayName}

`; } }) .join(""); // Add legend to the chart if (chartWidth < 500) { // Mobile: Create a wrapper that includes both chart and legend below it const wrapper = html`

${chartContainer}

${html([legendItemsHTML])}

`; wrapper.value = chart; // Create a resize observer if (typeof ResizeObserver !== "undefined") { const observer = new ResizeObserver((entries) => { const containerWidth = entries[0].contentRect.width; if (Math.abs(containerWidth - chartWidth) > 20) { invalidation.then(() => observer.disconnect()); return wrapper; } }); observer.observe(wrapper); } return wrapper; } else { // Desktop: Add legend as an overlay const legendElement = html`

${html([legendItemsHTML])}

${chart}

ADJACENT

${displayName}

`; } else { // Desktop legend items return `

${displayName}

`; } }) .join(""); // Add legend to the chart if (chartWidth < 500) { // Mobile: Create a wrapper that includes both chart and legend below it const wrapper = html`

${chartContainer}

${html([legendItemsHTML])}

`; chartContainer.appendChild(legendElement); chartContainer.value = chart; // Create a resize observer if (typeof ResizeObserver !== "undefined") { const observer = new ResizeObserver((entries) => { const containerWidth = entries[0].contentRect.width; if (Math.abs(containerWidth - chartWidth) > 20) { invalidation.then(() => observer.disconnect()); return chartContainer; } }); observer.observe(chartContainer); } return chartContainer; } }33:[] 2d:{"id":"e0c989ea87ee59ce","slug":null,"title":"Trump 3rd term?","thumbnail":"47f1df54743d806fcbac5486aee95eba16c43b5363b74b2a711d1d6563365d28","access_level":"public","create_time":"$D2025-04-30T19:42:07.019Z","update_time":"$D2025-05-03T11:31:40.149Z","view_time":null,"first_public_time":"$D2025-05-01T12:01:57.817Z","fork":false,"stars":0,"starred":false,"owner":{"type":"team","id":"59b2aaa9189b56d4","login":"adjacent","name":"Adjacent","avatar_url":"https://avatars-next.observableusercontent.com/e34bfda26f2a3e11bf04364a685b422fda7ad5630974dadb7c20559fdf8ea883","tier":"pro_2024"},"version":138,"publish_version":null,"role":null,"authored":false,"authors":[{"type":"individual","id":"4d75e52b48086387","login":"dougiebuckets","name":"dougiebuckets","avatar_url":"https://avatars-next.observableusercontent.com/d55596be54f2db1cfdf1dd98b171dbdcc2e8c228c20ce7d20d50902a10772d44","tier":null}],"members":[{"type":"team","id":"59b2aaa9189b56d4","login":"adjacent","name":"Adjacent","avatar_url":"https://avatars-next.observableusercontent.com/e34bfda26f2a3e11bf04364a685b422fda7ad5630974dadb7c20559fdf8ea883","tier":"pro_2024","role":"editor"},{"type":"individual","id":"4d75e52b48086387","login":"dougiebuckets","name":"dougiebuckets","avatar_url":"https://avatars-next.observableusercontent.com/d55596be54f2db1cfdf1dd98b171dbdcc2e8c228c20ce7d20d50902a10772d44","tier":null,"role":"editor"}],"comments":[],"custom_thumbnail":false,"trashed":false,"subscribed":null,"forks":0,"collection":null,"type":"notebook","body":{"title":"Trump 3rd term?","cells":[{"id":0,"value":"# Trump 3rd term?","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":5,"value":"The goal of this notebook is to develop a visualization for the following markets","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":64,"value":"- [Trump announce run for 3rd term?](https://polymarket.com/event/trump-announce-run-for-3rd-term)\n- [Bill allowing Trump 3rd term passes House before June?](https://polymarket.com/event/bill-allowing-trump-3rd-term-passes-house-before-june)","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":68,"value":"First, let's get the market IDs using the Adjacent list market's API","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":70,"value":"trumpAnnounces3rdTerm = \"44267179436692390600780862050334746253540610156961962282279111924192308825798\"","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":73,"value":"billAllowTrump3rdTerm = \"73842740239297572677638344742437454251230480602335391154903026378924775101406\"","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":76,"value":"Next, we'll populate the marketIds and marketNames arrays with the IDs and names of the markets we will be getting price histories for","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":80,"value":"marketIds = [trumpAnnounces3rdTerm, billAllowTrump3rdTerm]","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":83,"value":"marketNames = [\"Trump announces run for 3rd term?\", \"Bill allowing Trump 3rd term passes House before June?\"]","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":86,"value":"We'll now use the fetchProcessedMarketHistories function to get price histories for these markets","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":88,"value":"This function gets pricing history for the max time interval - i.e., from market inception","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":90,"value":"$2f","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":93,"value":"This function gets pricing history for the last week","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":95,"value":"$30","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":98,"value":"We'll then process the price history data for these markets and use it for charting purposes","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":100,"value":"maxPriceHistory = {\n return await fetchProcessedMarketHistoriesMax(marketIds, marketNames);\n}","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":104,"value":"weekPriceHistory = {\n return await fetchProcessedMarketHistoriesLastWeek(marketIds, marketNames);\n}","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":107,"value":"We'll no go ahead and chart the data","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":109,"value":"$31","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":115,"value":"$32","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":137,"value":"","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"}],"files":"$W33","stdlib":"1","titling":"auto"}} 2e:"$2d:body"