30:T939,{ function yeardata(year, selected){ let wks = weekly.filter(v=>v.waterYear==year) return { x: wks.map(mn=>mn.waterWeek), y: wks.map(mn=>mn.flowMean), mode: 'lines', name: year, showlegend:false, type: 'scatter', line: {shape: 'spline', width:selected?3:1.5, color: selected?colr_b(3):'rgba(100,100,100,0.7)'} } } var data = repYears.map(yr=>yeardata(yr.year,yr.year==selectedYearNo)) data.push({ x: [currentWeek.waterWeek], y: [currentWeek.flowMean], mode:'markers', name:'Week: ' + currentWeek.waterWeek, marker: {color: colr_b(3), size:10}, type: 'scatter' }) var layout = { width:width*.8, height: 200, margin: { l: 70, r: 10,b: 30, t: 30 }, legend: {x: 1,xanchor: 'right',y: 1}, font: font, xaxis: { showgrid: false, zeroline: false, ticks:'outside', range: [0, 53], tickvals:[3,8,12,16,21,25,29,33,38,42,46,51], ticktext:['Oct','Nov','Dec','Jan','Feb','Mar','Apr','May','Jun','Jul','Aug','Sep'] }, yaxis: { title: 'Flow (m\u00B3/s)', zeroline: false, tickformat: ',.2r', showline: false, range: [0, 6000] } } const div = DOM.element('div'); plt.newPlot(div, data, layout,{staticPlot: true}); var data1 = [ { x: ['Power', 'Flow' ,'Head'], y: [ currentWeek.plantPowerMean/180*100, currentWeek.canalFlowMean/1100*100, (currentWeek.netHeadMean-headMin)/headRange*100 ], text: [ d3.format(",.0f")(currentWeek.plantPowerMean) + 'MW', d3.format(",.0f")(currentWeek.canalFlowMean) , d3.format(",.0f")(currentWeek.netHeadMean) + 'm' ], marker: { color: ['red','#4169E1',colr(4)], }, textposition: 'outside', hoverinfo: 'none', type: 'bar' } ]; var layout1={ margin: { l: 40, r: 10,b: 18, t: 30 }, height:200, width:width*.2, font: font, yaxis: { range: [0, 120], title: '%', } } const div1 = DOM.element('div'); plt.newPlot(div1, data1, layout1,{staticPlot: true}); return html`

${div}

${div1}

`; }31:T6e5,sankey_dia={ const svg = d3.create("svg") .attr("viewBox", [0, 0, s_width, s_height]); const parent=svg.append("g"); const {nodes, links} = sankey(sankeyData); parent.append("g") .attr("stroke", "#000") .selectAll("rect") .data(nodes) .join("rect") .attr("x", d => d.x0) .attr("y", d => d.y0) .attr("height", d => d.y1 - d.y0) .attr("width", d => d.x1 - d.x0) .attr("fill", d => d.color) .append("title") .text(d => `${d.name}\n${format(d.value)}`); const link = parent.append("g") .attr("fill", "none") .attr("stroke-opacity", 0.5) .selectAll("g") .data(links) .join("g") .style("mix-blend-mode", "multiply"); const gradient = link.append("linearGradient") .attr("id", d => (d.uid = DOM.uid("link")).id) .attr("gradientUnits", "userSpaceOnUse") .attr("x1", d => d.source.x1) .attr("x2", d => d.target.x0); gradient.append("stop") .attr("offset", "0%") .attr("stop-color", d => d.source.color); gradient.append("stop") .attr("offset", "100%") .attr("stop-color", d => d.target.color); link.append("path") .attr("d", d3.sankeyLinkHorizontal()) .attr("stroke", d => d.uid) .attr("stroke-width", d => Math.max(1, d.width)); link.append("title") .text(d => `${d.source.name} → ${d.target.name}\n${format(d.value)}`); parent.append("g") .style("font", "10px Courier New, monospace") .selectAll("text") .data(nodes) .join("text") .attr("x", d => d.x0 > 10 ? d.x0 - 38 : d.x1 + 6) .attr("y", d => (d.y1 + d.y0) / 2) .attr("dy", "0.35em") .attr("text-anchor", d => d.x0 > 10 ? "end" : "start") .text(d => d.name); return svg.node(); }32:T559,{ function yeardata(year, selected){ let wks = weekly.filter(v=>v.waterYear==year) return { x: wks.map(mn=>mn.waterWeek), y: wks.map(mn=>mn.canalFlowMean), mode: 'lines', name: year, showlegend:false, type: 'scatter', line: {shape: 'spline', width:selected?3:1.5, color: selected?colr_b(3):'rgba(100,100,100,0.7)'} } } var data = repYears.map(yr=>yeardata(yr.year,yr.year==selectedYearNo)) data.push({ x: [currentWeek.waterWeek], y: [currentWeek.canalFlowMean], mode:'markers', name:'Week: ' + currentWeek.waterWeek, marker: {color: colr_b(3), size:10}, type: 'scatter' }) var layout = { width: width>800?770:width-30, height: 200, margin: { l: 70, r: 10,b: 30, t: 30 }, legend: {x: 1,xanchor: 'right',y: 1}, font: font, xaxis: { showgrid: false, zeroline: false, ticks:'outside', range: [0, 53], tickvals:[3,8,12,16,21,25,29,33,38,42,46,51], ticktext:['Oct','Nov','Dec','Jan','Feb','Mar','Apr','May','Jun','Jul','Aug','Sep'] }, yaxis: { title: 'Canal Flow (m\u00B3/s)', zeroline: false, tickformat: ',.2r', showline: false, range: [0, 1200] } } const div=container(``) plt.newPlot(div, data, layout,{displayModeBar: false}); return div }33:T547,{ function yeardata(year, selected){ let wks = weekly.filter(v=>v.waterYear==year) return { x: wks.map(mn=>mn.waterWeek), y: wks.map(mn=>mn.netHeadMean), mode: 'lines', name: year, showlegend:false, type: 'scatter', line: {shape: 'spline', width:selected?3:1.5, color: selected?colr(5):'rgba(100,100,100,0.7)'} } } var data = repYears.map(yr=>yeardata(yr.year,yr.year==selectedYearNo)) data.push({ x: [currentWeek.waterWeek], y: [currentWeek.netHeadMean], mode:'markers', name:'Week: ' + currentWeek.waterWeek, marker: {color: colr(5), size:10}, type: 'scatter' }) var layout = { width: width>800?770:width-30, height: 200, margin: { l: 70, r: 10,b: 30, t: 30 }, legend: {x: 1,xanchor: 'right',y: 0.2}, font: font, xaxis: { showgrid: false, zeroline: false, ticks:'outside', range: [0, 53], tickvals:[3,8,12,16,21,25,29,33,38,42,46,51], ticktext:['Oct','Nov','Dec','Jan','Feb','Mar','Apr','May','Jun','Jul','Aug','Sep'] }, yaxis: { title: 'Net Head (m)', zeroline: false, tickformat: ',.2r', showline: false, range: [0, 28] } } const div=container(``) plt.newPlot(div, data, layout,{displayModeBar: false}); return div }34:T54a,{ function yeardata(year, selected){ let wks = weekly.filter(v=>v.waterYear==year) return { x: wks.map(mn=>mn.waterWeek), y: wks.map(mn=>mn.plantPowerMean), mode: 'lines', name: year, showlegend:false, type: 'scatter', line: {shape: 'spline', width:selected?3:1.5, color: selected?colr(1):'rgba(100,100,100,0.7)'} } } var data = repYears.map(yr=>yeardata(yr.year,yr.year==selectedYearNo)) data.push({ x: [currentWeek.waterWeek], y: [currentWeek.plantPowerMean], mode:'markers', name:'Week: ' + currentWeek.waterWeek, marker: {color: colr(1), size:10}, type: 'scatter' }) var layout = { width: width>800?770:width-30, height: 200, margin: { l: 70, r: 10,b: 30, t: 30 }, legend: {x: 1,xanchor: 'right',y: 1}, font: font, xaxis: { showgrid: false, zeroline: false, ticks:'outside', range: [0, 53], tickvals:[3,8,12,16,21,25,29,33,38,42,46,51], ticktext:['Oct','Nov','Dec','Jan','Feb','Mar','Apr','May','Jun','Jul','Aug','Sep'] }, yaxis: { title: 'Power (MW)', zeroline: false, tickformat: ',.2r', showline: false, range: [0, 220] } } const div=container(``) plt.newPlot(div, data, layout,{displayModeBar: false}); return div }35:Td1d,sankeyData = { var rootNode = 'Max: ' + format(fdcMax.flowRiver) var nodes = [ {name: rootNode,color:'#4169E1'}, {name: "Zambezi",color:'#4169E1'}, {name: "",color:'#FFF'}, {name: "Left Channel",color:'#B0C4DE'}, {name: "Intake",color:"#CD5C5C"}, {name: "Canal",color:"#CD5C5C"}, {name: "Turbine 1",color:"red"}, {name: "Channel A",color:'#0000FF'}, {name: "Channel C",color:'#0000FF'}, {name: "Channel D",color:'#0000FF'}, {name: "Left Fall",color:'#0000FF'}, {name: "Right Channel",color:'#B0C4DE'}, {name: "Channel FG",color:'#1E90FF'}, {name: "Channel E",color:'#1E90FF'}, {name: "Right Fall",color:'#1E90FF'}, {name: "Gorge",color:'#B0C4DE'}, {name: "Outflow",color:'#4169E1'} ] var turbineFlow = fdcRow.canalFlow/fdcRow.units var links = [ {source: rootNode, target: "Zambezi",value: fdcRow.flowRiver}, {source: rootNode, target: "",value: fdcMax.flowRiver-fdcRow.flowRiver}, {source: "Zambezi", target: "Left Channel",value: fdcRow.leftChannelFlow}, {source: "Zambezi", target: "Right Channel",value: fdcRow.flowRiver-fdcRow.leftChannelFlow}, {source: "Left Channel", target: "Intake",value: fdcRow.canalFlow}, {source: "Left Channel", target: "Channel A",value: fdcRow.channelFlowA}, {source: "Left Channel", target: "Channel C",value: fdcRow.channelFlowC}, {source: "Left Channel", target: "Channel D",value: fdcRow.channelFlowD}, {source: "Channel A", target: "Left Fall",value: fdcRow.channelFlowA}, {source: "Channel C", target: "Left Fall",value: fdcRow.channelFlowC}, {source: "Channel D", target: "Left Fall",value: fdcRow.channelFlowD}, {source: "Left Fall", target: "Gorge",value: fdcRow.channelFlowA+fdcRow.channelFlowC+fdcRow.channelFlowD}, {source: "Intake", target: "Canal",value: fdcRow.canalFlow}, {source: "Canal", target: "Turbine 1",value: turbineFlow}, {source: "Turbine 1", target: "Outflow",value: turbineFlow}, {source: "Right Channel", target: "Channel FG",value: fdcRow.channelFlowFG}, {source: "Right Channel", target: "Channel E",value: d3.max([1,fdcRow.channelFlowE])}, {source: "Channel FG", target: "Right Fall",value: fdcRow.channelFlowFG}, {source: "Channel E", target: "Right Fall",value: d3.max([1,fdcRow.channelFlowE])}, {source: "Right Fall", target: "Gorge",value: fdcRow.channelFlowE + fdcRow.channelFlowFG}, {source: "Gorge", target: "Outflow",value: fdcRow.channelFlowE + fdcRow.channelFlowFG +fdcRow.channelFlowA + fdcRow.channelFlowC + fdcRow.channelFlowD} ]; if (fdcRow.units>1){ nodes.splice(7,0,{name: "Turbine 2",color:"red"}) links.splice(14,0,{source: "Canal", target: "Turbine 2",value: turbineFlow}) links.splice(16,0,{source: "Turbine 2", target: "Outflow",value: turbineFlow}) } if (fdcRow.units>2){ nodes.splice(8,0,{name: "Turbine 3",color:"red"}) links.splice(18,0,{source: "Canal", target: "Turbine 3",value: turbineFlow}) links.splice(20,0,{source: "Turbine 3", target: "Outflow",value: turbineFlow}) } if (fdcRow.units>3){ nodes.splice(9,0,{name: "Turbine 4",color:"red"}) links.splice(22,0,{source: "Canal", target: "Turbine 4",value: turbineFlow}) links.splice(24,0,{source: "Turbine 4", target: "Outflow",value: turbineFlow}) } return {nodes, links}; }36:[{"id":"ef86b7fca75179489dcf96face70cb69d17910796b043f65538d62bbf7b4f500659e4d25a97eceda5acebdd30d8ac7ce0f332e89c3885196ad9e2c0c4e41c826","href":"https://static.observableusercontent.com/files/ef86b7fca75179489dcf96face70cb69d17910796b043f65538d62bbf7b4f500659e4d25a97eceda5acebdd30d8ac7ce0f332e89c3885196ad9e2c0c4e41c826","name":"rec1_p_and_e_weekly_slim@1.csv","type":"text/csv","lastModified":1581933211958.266,"size":932245},{"id":"42828ac8304cee363abe3dd175193f5e4251e4abf33a677eaaba8d2c1f99f9ad97fb41ccdd9e30f676b205a5e37ff7d9059944c8894f9acfa0e111abb32129de","href":"https://static.observableusercontent.com/files/42828ac8304cee363abe3dd175193f5e4251e4abf33a677eaaba8d2c1f99f9ad97fb41ccdd9e30f676b205a5e37ff7d9059944c8894f9acfa0e111abb32129de","name":"rec1_p_and_e_yearly@1.csv","type":"text/csv","lastModified":1581941989908.823,"size":28964},{"id":"6687ec9d80a6f68e01d7be185fe03b288f953c8c08d75ce97ad8771ebe64ff7c6fd1540e2ed38bd42627793516a5cde537047c3a6c81697174afbed82ecc70c6","href":"https://static.observableusercontent.com/files/6687ec9d80a6f68e01d7be185fe03b288f953c8c08d75ce97ad8771ebe64ff7c6fd1540e2ed38bd42627793516a5cde537047c3a6c81697174afbed82ecc70c6","name":"ngonye_flow_selected_years.csv","type":"text/csv","lastModified":1581931007858.089,"size":519}] 2e:{"title":"Selected Years Simulations","cells":[{"id":0,"value":"html`\n

Selected Years Simulations

Ngonye Falls Hydroelectric Project

\n
\n${book_index('selected-years')}\n`","pinned":false,"hidden":false,"mode":"ojs"},{"id":468,"value":"viewof selectedYearNo = {\n const sel=repYears.map(yr=>yr.year==2002?'selected':'')\n const form = html`

Selected Year:

\n \n

\n`;\n form.oninput = () => {\n form.value = parseInt(form.year_select.value);\n };\n form.oninput();\n return form;\n}\n","pinned":false,"hidden":false,"mode":"ojs"},{"id":814,"value":"html`\n\n

\nEnergy: ${d3.format(\",.0f\")(year.energy)} GWh\nCapacity Factor: ${d3.format(\",.0f\")(year.capFactor*100)} % \nFlow Range: ${d3.format(\",.0f\")(year.flowMin)} - ${d3.format(\",.0f\")(year.flowMax)} m\\u00B3/s \nHead Range: ${d3.format(\",.1f\")(year.netHeadMin)} - ${d3.format(\",.1f\")(year.netHeadMax)} m \n

\n`","pinned":false,"hidden":false,"mode":"ojs"},{"id":504,"value":"$30","pinned":false,"hidden":false,"mode":"ojs"},{"id":227,"value":"$31","pinned":false,"hidden":false,"mode":"ojs"},{"id":1004,"value":"$32","pinned":false,"hidden":false,"mode":"ojs"},{"id":1502,"value":"$33","pinned":false,"hidden":false,"mode":"ojs"},{"id":1513,"value":"$34","pinned":false,"hidden":false,"mode":"ojs"},{"id":797,"value":"html` \n

\n

Appendix

\n`","pinned":false,"hidden":false,"mode":"ojs"},{"id":563,"value":"md`## Various Functions`","pinned":false,"hidden":false,"mode":"ojs"},{"id":1043,"value":"weekNo = {\n let j = this || 0;\n //if (paused) return yield j;\n while (true) yield Promises.delay(600, j=(j+1) % 52);\n}","pinned":false,"hidden":false,"mode":"ojs"},{"id":34,"value":"$35","pinned":false,"hidden":false,"mode":"ojs"},{"id":45,"value":"sankey = {\n const sankey = d3.sankey()\n .nodeId(d => d.name)\n .nodeAlign(d3[\"sankeyCenter\"])\n .nodeWidth(12)\n .nodePadding(4)\n .nodeSort(null)\n .linkSort(null)\n .extent([[1, 5], [s_width - 1, s_height - 5]]);\n return ({nodes, links}) => sankey({\n nodes: nodes.map(d => Object.assign({}, d)),\n links: links.map(d => Object.assign({}, d))\n });\n}","pinned":false,"hidden":false,"mode":"ojs"},{"id":31,"value":"s_width = 900","pinned":false,"hidden":false,"mode":"ojs"},{"id":30,"value":"s_height=350","pinned":false,"hidden":false,"mode":"ojs"},{"id":1422,"value":"fdcMax=pefdc[d3.bisector((d) => d.flowRiver).center(pefdc, year.flowMax)]","pinned":false,"hidden":false,"mode":"ojs"},{"id":1375,"value":"fdcRow=pefdc[d3.bisector((d) => d.flowRiver).center(pefdc, currentWeek.flowMean)]","pinned":false,"hidden":false,"mode":"ojs"},{"id":1061,"value":"currentWeek=weeks[weekNo]","pinned":false,"hidden":false,"mode":"ojs"},{"id":1186,"value":"weeks=weekly.filter(w=>w.waterYear==selectedYearNo)","pinned":false,"hidden":false,"mode":"ojs"},{"id":1194,"value":"//weekly_h = (await d3.csv(\"https://gis.westernpower.org/data/output_data/2020/ngonye_weekly.csv?a=3\", d3.autoType))","pinned":false,"hidden":false,"mode":"ojs"},{"id":1129,"value":"// cumEnergy={\n// //var total_energy=d3.sum(months.map(mnth=>mnth.Energy))\n// var sum=0;\n// return months.map(mnth=>{sum+=mnth.Energy;return Math.round(sum/year_details.Energy*100);})\n// }","pinned":false,"hidden":false,"mode":"ojs"},{"id":1102,"value":"headRange=headMax-headMin","pinned":false,"hidden":false,"mode":"ojs"},{"id":1100,"value":"headMin=d3.min(pefdc.map(f=>f.netHead))","pinned":false,"hidden":false,"mode":"ojs"},{"id":1098,"value":"headMax=d3.max(pefdc.map(f=>f.netHead))","pinned":false,"hidden":false,"mode":"ojs"},{"id":1094,"value":"//models = (await d3.csv(\"https://gis.westernpower.org/data/input_data/2024/models.csv?\" + Math.floor(Math.random() * 100),d3.autoType))","pinned":false,"hidden":false,"mode":"ojs"},{"id":1096,"value":"//model=models.filter(md=>md.ModelName==model_name)[0]","pinned":false,"hidden":false,"mode":"ojs"},{"id":1120,"value":"months=monthly.filter(m=>m.waterYear==selectedYearNo)","pinned":false,"hidden":false,"mode":"ojs"},{"id":821,"value":"year=yearly.find(yr=>yr.waterYear==selectedYearNo)","pinned":false,"hidden":false,"mode":"ojs"},{"id":435,"value":"month_names=['Jan','Feb','Mar','Apr','May','Jun','Jul','Aug','Sep','Oct','Nov','Dec']","pinned":false,"hidden":false,"mode":"ojs"},{"id":1292,"value":"

Load Data

","pinned":false,"hidden":false,"mode":"html"},{"id":1090,"value":"pefdc = (await d3.csv(peFolder + peModelName + \"_pe_fdc.csv?\" + Math.floor(Math.random() * 1000), d3.autoType)).sort((a,b)=>a.flowRiver-b.flowRiver)","pinned":false,"hidden":false,"mode":"ojs"},{"id":818,"value":"yearly = await d3.csv(peFolder + peModelName + \"_pe_yearly.csv?\" + Math.floor(Math.random() * 1000),d3.autoType)","pinned":false,"hidden":false,"mode":"ojs"},{"id":1118,"value":"monthly = await d3.csv(peFolder + peModelName + \"_pe_monthly.csv?\" + Math.floor(Math.random() * 1000),d3.autoType)","pinned":false,"hidden":false,"mode":"ojs"},{"id":641,"value":"weekly = await d3.csv(peFolder + peModelName + \"_pe_weekly.csv?\" + Math.floor(Math.random() * 1000),d3.autoType)","pinned":false,"hidden":false,"mode":"ojs"},{"id":517,"value":"repYears = (await d3.csv(server + '/other/selected_years.csv',d3.autoType))","pinned":false,"hidden":false,"mode":"ojs"},{"id":1247,"value":"

Sources

","pinned":false,"hidden":false,"mode":"html"},{"id":1267,"value":"model=models.find(md=>md.modelRef==peModelName)","pinned":false,"hidden":false,"mode":"ojs"},{"id":1269,"value":"models = (await d3.csv(server + '/ngonyePlantModels/models/modelStatistics.csv?' + Math.floor(Math.random() * 900),d3.autoType))","pinned":false,"hidden":false,"mode":"ojs"},{"id":1265,"value":"hydrologyFolder = `${server}/syntheticFlowSeries/${hydrologySet}/processed/`","pinned":false,"hidden":false,"mode":"ojs"},{"id":1263,"value":"peFolder = `${server}/ngonyePlantModels/models/${peModelName}/`","pinned":false,"hidden":false,"mode":"ojs"},{"id":1261,"value":"hydrologySet='2024'","pinned":false,"hidden":false,"mode":"ojs"},{"id":1259,"value":"peModelName='sh_2024_7.8mhead'","pinned":false,"hidden":false,"mode":"ojs"},{"id":1245,"value":"server='https://data.westernpower.org'","pinned":false,"hidden":false,"mode":"ojs"},{"id":1250,"value":"

Style

","pinned":false,"hidden":false,"mode":"html"},{"id":1237,"value":"container = function(captionText, width_over) {\n const div=DOM.element('div')\n div.setAttribute(\"class\",\"border m-2 p-2\")\n div.setAttribute(\"style\",`width: ${width_over?width_over:(width>800?800:width)}px`)\n if (captionText) {\n const caption=DOM.element('figcaption')\n caption.setAttribute(\"style\",\"max-width:100%\")\n caption.append(captionText)\n div.append(caption)\n }\n return div\n}","pinned":false,"hidden":false,"mode":"ojs"},{"id":955,"value":"import {book_index} from \"@westernpower/commonlibrary\"","pinned":false,"hidden":false,"mode":"ojs"},{"id":1465,"value":"function colr_b(i = 1, a = 1) {\n return d3hsv.hsv(215, 1, ((6 - i + 1.5) * 15)/120, a).toString();\n}","pinned":false,"hidden":false,"mode":"ojs"},{"id":1471,"value":"function colr(i = 1, a = 1) {\n return d3hsv.hsv(26, 0.85, ((6 - i + 1.5) * 15)/100, a).toString();\n}","pinned":false,"hidden":false,"mode":"ojs"},{"id":41,"value":"color = {\n const color = d3.scaleOrdinal(d3.schemePastel2);\n return name => color(name.replace(/ .*/, \"\"));\n}","pinned":false,"hidden":false,"mode":"ojs"},{"id":1184,"value":"import {format_flow} from \"@westernpower/commonlibrary\"","pinned":false,"hidden":false,"mode":"ojs"},{"id":43,"value":"format = {\n const f = d3.format(\",.0f\");\n return d => `${f(d)} m\\u00b3/s`;\n}","pinned":false,"hidden":false,"mode":"ojs"},{"id":662,"value":"html`\n\n`","pinned":false,"hidden":false,"mode":"ojs"},{"id":1240,"value":"style=html`css `","pinned":false,"hidden":false,"mode":"ojs"},{"id":657,"value":"import {font} from \"@andyflem/commonlibrary\"","pinned":false,"hidden":false,"mode":"ojs"},{"id":1255,"value":"

Import

","pinned":false,"hidden":false,"mode":"html"},{"id":27,"value":"d3 = require(\"d3@7\", \"d3-sankey@0.12\",\"d3-hsv@0.1\")","pinned":false,"hidden":false,"mode":"ojs"},{"id":1467,"value":"d3hsv = require(\"d3-hsv@0.1\")","pinned":false,"hidden":false,"mode":"ojs"},{"id":505,"value":"plt = require(\"https://cdn.plot.ly/plotly-latest.min.js\")","pinned":false,"hidden":false,"mode":"ojs"},{"id":1190,"value":"//mom=require(\"https://cdnjs.cloudflare.com/ajax/libs/moment.js/2.27.0/moment.min.js\")","pinned":false,"hidden":false,"mode":"ojs"}],"files":"$W36","stdlib":"1","titling":"auto"}